ggplot2/0000755000175100001440000000000012114411470011641 5ustar hornikusersggplot2/MD50000644000175100001440000005171512114411470012162 0ustar hornikusersa8481dde4e6366e1c98c38e25a60ce09 *DESCRIPTION b0e2c27896c6311e1e8a06f1406d75e0 *NAMESPACE 8298f7bc3ec5ab60baac889eb6c831d6 *NEWS cdc165b0b74d5b1cfd879769181ec510 *R/aaa-.r dc3d3aab5c3802286ba7ad449eb6645d *R/aaa-constants.r ae3f1d04a847f7593b3bf8836667104f *R/aes-colour-fill-alpha.r 821d0759319d37cfb974286a280c9ac5 *R/aes-group-order.r 733c7a9a947c30697e3ddb85ab08d944 *R/aes-linetype-size-shape.r 26e076e6333d7400c1603faa7781c1c1 *R/aes-position.r 2f5636b06947da866e2de3206fcf8ab0 *R/aes.r ec76f496165349653ce58dda55ab4060 *R/annotation-custom.r 466f11d4b6932c2743166c594db6eae6 *R/annotation-logticks.r b980276fc6b0634c3b43a20f0a2e2061 *R/annotation-map.r fc7ae95535ec205a2fe554f0e0ef22f0 *R/annotation-raster.r 96bee574f5054fc0fbf55ebaa76cabc1 *R/annotation.r 156e572d485fde7adbff14cf0c05ce0b *R/autoplot.r 62aaf848259fcb7f4b350ff67acb990f *R/bench.r 730026efd522ee584c63c4575f6e2b51 *R/coord-.r ab13bd1bc481f073ed166080817ea44a *R/coord-cartesian-.r 16feb9d43c4d09600f9dbd700fe50a2f *R/coord-fixed.r cc9622bcbc7ab527f537ffec6e7088b3 *R/coord-flip.r 27cd6c317dd6caceb6acc53837f9ede9 *R/coord-map.r 3da104d697aaff354286c05f24c0b0c3 *R/coord-munch.r ca4435bb4a62eb3c56dc4da7e86e49fb *R/coord-polar.r 6cad54068e3731a1c83fcf18e31efb64 *R/coord-transform.r 46888370c9fc6579da7e7b0879c5ab19 *R/facet-.r 9b7abe1dfbfdd87ebe4ccbb9ddd05737 *R/facet-grid-.r 6582f033d70914a7ff8a34adfc8a00d4 *R/facet-labels.r a8bdd31838cc1dc8553493e9ca3edca8 *R/facet-layout.r c1b757c44b4b7fb483b51396cb032000 *R/facet-locate.r 1534b4f9dae20090e0ddc7364bc72fca *R/facet-null.r ec37671843792b0e848e43cd5d117737 *R/facet-viewports.r afff0480da1871dd98227f22a1f4d0de *R/facet-wrap.r b5ea8f828872428e2cd545b6a2bcaa9d *R/fortify-lm.r eb936fc87c719c92e4cd00d2e0d3db9e *R/fortify-map.r 0781a7193e77311d3652c0a26e3ace8a *R/fortify-multcomp.r d698473b30629cf5c2a1b4fe8fcc239d *R/fortify-spatial.r c66a8210303d12e2fd9ae738de3c80be *R/fortify.r 84d3db481f87ff9d8a356fc70455edf7 *R/geom-.r 5ac2256187aa8389e25ced8c3654df79 *R/geom-abline.r 5f3535690fd257e85fc9830fedd98cf2 *R/geom-bar-.r f6aabd443b95a624eeef95d10cb9a4e5 *R/geom-bar-histogram.r f8834f3ae2b4dd73fb2f458ca386845f *R/geom-bin2d.r 6f93f7e8856b4e8f693ef36f74b2d6af *R/geom-blank.r b7b1ba7b38b750c778b5b4d9dd60f7b6 *R/geom-boxplot.r f89f62a4771b8235486a721e4f7edf91 *R/geom-crossbar.r bbb969602ad4726f07b8f47e0e045f8f *R/geom-defaults.r 48520da055a141e0f40c272f660d03b0 *R/geom-dotplot.r 3427bab8fe3b8b62dc8099eed3593906 *R/geom-error.r 19bd1eb401094ce7f5be89e63650e82c *R/geom-errorh.r 9363f7e61c12375012710cac58c089cb *R/geom-freqpoly.r 5d2de1907f582a3480deff97a961bde9 *R/geom-hex.r 945f11becbafd976228fd1bb7b7955a2 *R/geom-hline.r a89b8b5600e9d6fd98e5bdcd90b160de *R/geom-linerange.r 6897f36f55964f8286be02137e206e47 *R/geom-map.r e3950aa2d3c3e922400efceca8a06dd7 *R/geom-path-.r bf878d11dcb897ecef17541ea8a046bb *R/geom-path-contour.r 60e9c5e5b491d45ec0c3ab8181b1aff9 *R/geom-path-density2d.r 2dc4ab51b3c59edf1ce6a80ad242a6bd *R/geom-path-line.r 51e68049a1070d460097551d9c5458d6 *R/geom-path-step.r ac048bc7f2741bd1cbbba7581af94dee *R/geom-point-.r 818ff3f54e006d46812a34aa8dac1160 *R/geom-point-jitter.r c4ff344620a297654ad59fb89628818e *R/geom-pointrange.r 4b3b8102b51f97ac79f3f5b5c2c25836 *R/geom-polygon.r bbbdea8f534809cf26b586c011d7c5ff *R/geom-quantile.r 15434417882afed1b3abddce75047c12 *R/geom-raster.r 01b8f2a9a51200c853ccd77e270ed66d *R/geom-rect.r b364e888a1e006ad4ea8096c02b4cd99 *R/geom-ribbon-.r 56d9a7db16135a425fd37c1e7bfe4380 *R/geom-ribbon-density.r 609ff55cb6571c4c706ecb9a9df1e0e8 *R/geom-rug.r e6c3d0257b133b328f14f6c66235f580 *R/geom-segment.r 06ee79739ea7568fc7fa409d8c525fea *R/geom-smooth.r f13c34536947ff33c9e059f6fb44c7df *R/geom-text.r 7a312bb3081a867fcd3078491b80a3d1 *R/geom-tile.r 89fd74daef645c5aec59ba89d97f6193 *R/geom-violin.r fbc31911c59baaddc2fa915f75914ff6 *R/geom-vline.r c4bf756d21c84a8542fd6071de4e98e8 *R/ggplot2.r a16f5e7db9df6da53fa0b73fd9ea6dc7 *R/grob-absolute.r 59073fb400325d5aacec56c908a62be5 *R/grob-dotstack.r a95eedcd254245038c02583eca451496 *R/grob-null.r 6b4b5ebf999737e4788193fc421604f4 *R/guide-colorbar.r 32bcfddd0d4f788b9558de374cced279 *R/guide-legend.r d97690d6d583e86f025be2a9429605d1 *R/guides-.r 3af4e324ffbb2bf024d90a4d98f9580e *R/guides-axis.r ba942d2a3cac6427ad5e432d6344deec *R/guides-grid.r c78cf3ebdfe741464530b1fd74979fcc *R/labels.r 55b65267b558cbff7ae87c8200c5b1a3 *R/layer.r b8dc88ca7b246c1f856d97ad0dbc5894 *R/limits.r 2563cc48c409528da1a632c30d35c992 *R/matrix.r 507e7f65ffa6ab71f3f36015e3ffa773 *R/panel.r b08a2294565e0155be791f0394db953a *R/plot-build.r a9d6f62b2221cf9aee7342c5a5d8abd7 *R/plot-construction.r 1fe2bd58d7d34c6370ec8680bac55641 *R/plot-last.r d44ed7cee7180f23e30d7bfb43b68557 *R/plot-render.r 898fa70042b03446748daa7d2ad1b7a9 *R/plot.r 25eecd71bdbda3dd0357f17bd40ddea6 *R/position-.r b9725a3356cd9ad7d603ae630a7b2da9 *R/position-collide.r 3b6c1ad7cf9ab5cb52328fc2c04d330a *R/position-dodge.r bae3978e0f907c21e26dc4aa2c929fb4 *R/position-fill.r 5f0742181315d120ef24343cc7e89915 *R/position-identity.r fd316941e9fd8eb8537c579a3302df6d *R/position-jitter.r 87c45a8daeb86d8e415f125f763636ac *R/position-stack.r 49f635097439d8aeea4407e786796d88 *R/quick-plot.r a50cf57f38afabcd774b149b6b63bc83 *R/save.r aa677b621332bcbf01407ca5229dadfc *R/scale-.r 0b94bc43c9a1f19a11efcc0f9e1f7eab *R/scale-alpha.r d2d7f41130b5a88899f9cb15cde0c2d6 *R/scale-area.r ec2f962e810d9eaff052b39aa73b7aef *R/scale-brewer.r e922db62ed12e535ebeadf79c72dac75 *R/scale-continuous.r 411ae283f14a9cbfaf89b450ce9295ea *R/scale-date.r bd9a20524f0d5f728fe59d0aef7718db *R/scale-datetime.r 216ca4997f765eb174c13db53436f3dd *R/scale-discrete-.r fd8f838856c003bc69939aea0f0aa780 *R/scale-gradient.r e05bb9a55b15069a2ea9404b09525810 *R/scale-gradient2.r 228c009cb66c0eafdeda9e92d44db1be *R/scale-gradientn.r bf02cee25c672069385cc20ec0c8afd6 *R/scale-grey.r 812ba631431e610c460e32be53fd4cd9 *R/scale-hue.r ec6c426256d89a7236fa9c547bfa6b8e *R/scale-identity.r ba7b404533f49db0b916d3e0deea7bad *R/scale-linetype.r 73941853b55fbe85ee43d514616cf278 *R/scale-manual.r 621f0c32a080738b66f290c0a7ecdf4f *R/scale-shape.r 59866fc36aa00a75c17a227c830dd106 *R/scale-size.r 5501500faea17cce988ed90e08ccad09 *R/scales-.r 913469f5bdd833a806b3f05bd06e3269 *R/stat-.r 100bcca190ae776c187a64a9d90bf392 *R/stat-bin.r e04072f2f78615a5b2b8b9fed837069a *R/stat-bin2d.r 655a60570160ec9cbada68e0e3ca81fc *R/stat-bindot.r 72b80b2e70f00c77743d471c95d7b35a *R/stat-binhex.r 8c780eb83459452d0cf2fc7e9b289cfc *R/stat-boxplot.r 235bef1027e06ea8a0601c0784b1424c *R/stat-contour.r bad50ec69ed8cc4b65486c7f3c1431d0 *R/stat-density-2d.r 2d4674031c3003793c49f0650cfd090d *R/stat-density.r 914a84e1cb5c26a7eabe49c5a6bfe131 *R/stat-ecdf.r 4bd724861e96053ce912ef90a9122b9c *R/stat-function.r 1aa6d8d13dd3c1ebc055dc8a15d115b5 *R/stat-identity.r 279f0e942ed40c9c3e0da7c7bf9f2431 *R/stat-qq.r 77f819801f9a9e0b2c454e7a1495178d *R/stat-quantile.r 9b03451d84893346d904947bdcb23ea2 *R/stat-smooth-methods.r 9d30760907d8d03aad7b2b9c0ea0de28 *R/stat-smooth.r d7297e51a7ca5fc19a36205d364f8c8f *R/stat-spoke.r 96119f89a7493a8035104e66fa51ece7 *R/stat-sum.r c9ffea7b3cd36374aba20d5069cd2a3e *R/stat-summary-2d.r 82e4a422d748d706b82ae7dba4290aa4 *R/stat-summary-hex.r 9b5cb76c8b6622182c858acd6a4ddf87 *R/stat-summary.r 7b6e46124c9b52aef0ac1d1f141638d8 *R/stat-unique.r 7b419d8ad895280d4afc810f3c319ff1 *R/stat-vline.r b2a578fe70d950d21dfa1ee91198edae *R/stat-ydensity.r 3cd3f00683a2712f83f7343c450823ba *R/summary.r df52bbff80d38abe06678cd140ffd9f2 *R/templates.r 1657c2eb4da3283b00f6da87b578df08 *R/theme-defaults.r 4817702b925e5aa7bcca20edb047911a *R/theme-elements.r b4ae203e46e8dbdd3df16e281cfd42aa *R/theme.r 35bad6637d640ff42f356aa4f32d2880 *R/translate-qplot-base.r 848208d3ba4fa95b9772c30ab7719b07 *R/translate-qplot-ggplot.r fee87f2af65cb375fde0c9e2861fe20e *R/translate-qplot-gpl.r 44c20592c21fb28a06bd6bd649c10fa0 *R/translate-qplot-lattice.r fa4087800994bd078cf0a495b3f2f93b *R/utilities-break.r 529807804c64e4144ec5048f49660ea4 *R/utilities-grid.r 7d2253be1f20087c6d0316d0443b73b7 *R/utilities-help.r 1831f357299303b55978c2cda95b32b4 *R/utilities-layer.r afc6431171cfd73e050e71df95bfa0dd *R/utilities-matrix.r c7fde74a4a34021d39442b0ae7d8552d *R/utilities-resolution.r 57c5dfa7816f7df6c73f04705350ddd8 *R/utilities-table.r 5e4f767a7a86173e4ef339b664c705e1 *R/utilities.r 34d407a106599d53ab46fdd91be6eab3 *R/xxx-digest.r 610971f2b52b5165ac7e29106eff0b0a *R/zxx.r 1eaf05da9731eb13f290fba1abd4b073 *R/zzz.r b4fab9a4162bad65843f1af6f2568dae *README.md c5bbe13cd390f0c20a6f97dbc2c712f2 *build/partial.rdb 9cb6a35588a5dd6989b03aece1b60e03 *data/datalist 4096c2eeb1224845fc5f0e25e9974c25 *data/diamonds.rda 8985076e2ad3bed814a263e66cda6536 *data/economics.rda 3ae982c0a646d089158019dd7cff7270 *data/midwest.rda 9d8747e779836d5c6e49034c45cf8b98 *data/movies.rda d4a17298bd70c76813a5413330c1cd23 *data/mpg.rda 1617a2dd8416c15f6d258ae6cfe2baf5 *data/msleep.rda f11e86b50338713740fae032ed3d32bc *data/presidential.rda 401d0becb289a0ca4b041bb64e3b8aa0 *data/seals.rda d5d8dadfa9a1796813880c6dd466051b *inst/CITATION 7a09459ca2898424c3714a03f20665fd *inst/staticdocs/footer.html 923198a65466326dfb62fec20e793e3c *inst/staticdocs/head.html 1636c128fb7de2919590069e9d19d17a *inst/staticdocs/index.r 866901e6be1bdbaba1c9c2d7b879e8dc *inst/test_ns/DESCRIPTION b21b353b8831ab5ccca59122881140d3 *inst/test_ns/NAMESPACE 81187edd664288ddb04c48475fbcb663 *inst/test_ns/R/my-plot.r 06a9f7ef332826077bd8e50b13121112 *inst/test_ns/man/my_plot.Rd 54a5e91c31e50f11f6cfcf0a56fea081 *inst/tests/helper-plot-data.r 740526641fb432626a257d0becf6fd1a *inst/tests/test-aes-grouping.r d238d83a85d5579410180f485ba7b7ea *inst/tests/test-aes-setting.r 38c1a42c898de0abf1f995e748276833 *inst/tests/test-aes.r 196e9a7accdbb9fb1f2e13f4aece3918 *inst/tests/test-boxplot.r 92e9538a12d82532d919860a548e00a2 *inst/tests/test-build.r 0465e5e3f7e11018338ea4bdf774ad20 *inst/tests/test-coord-polar.r 70db5dd20f4b1a8a0164cf522feec0fd *inst/tests/test-coord-train.r 8b9dd7f814320cdeb5954ce0f4292a66 *inst/tests/test-data.r c4ec1dc18f683b9afdefb6ee82b4f5d2 *inst/tests/test-dotplot.r 1b12e4284c255e898648b3e81edee1d4 *inst/tests/test-empty-data.r ea4aa03be81acb5157bc833e4b97365c *inst/tests/test-facet-.r a2c0ce251e99c0b018439d607b0c7451 *inst/tests/test-facet-layout.r 827676b38f580ed2c48bbdb375962295 *inst/tests/test-facet-locate.r 0d8de00a68ac094bed41ebe50710aedf *inst/tests/test-fortify.r 6318ef949123e4e13c938ffc0e3d4010 *inst/tests/test-labels.r df4857f8b4cb04d4846337dd0021b5e1 *inst/tests/test-qplot.r a5c8acb60c96d7e0f7210a8c15b452b3 *inst/tests/test-scale-manual.r 369b0bf3b04cbc0d462ec7bd40f7b6ea *inst/tests/test-scales-breaks-labels.r 3d9276f75fee9feb42e5b9773568f8be *inst/tests/test-scales.r 0fd040a1a7d2ad8ddcd32b93cfe22ce4 *inst/tests/test-stats.r 640dc2d0eb7ef9a9c47129a70f1ae465 *inst/tests/test-theme.r f3cbac27a85b4d7022031b7dfbe80e2d *inst/tests/test-utilities.r 16aeac0d13e4203be6c6677c02cb6ac9 *man/absoluteGrob.Rd 8c59bdf467a2341257524a06d12bf751 *man/add_theme.Rd 48515c5fab3181ad53687c13d3bc7728 *man/aes.Rd 7f0268389edbd543590ab20f72c4e546 *man/aes_all.Rd 2f508fdb273bacaf2882a4effcecc477 *man/aes_auto.Rd 4889de6f483e4079fac585a2a92588e9 *man/aes_colour_fill_alpha.Rd e909864117cd52d01c932d4fa02aabdc *man/aes_group_order.Rd d334b490b3496de05acd9c12d612dfd7 *man/aes_linetype_size_shape.Rd eb6a3d6a8e76ebb2d8fecf1acf01771a *man/aes_position.Rd 3382823074948794bc5449627edd1ec3 *man/aes_string.Rd e7874d09f0afd7d01e19112b4e48d319 *man/annotate.Rd efa994a5941ffdb03dc0c954590a94d7 *man/annotation_custom.Rd e3105bd4f1ca0256fd37b1a71b524975 *man/annotation_logticks.Rd c440509810d49e6438a8698ec95e9ad8 *man/annotation_map.Rd e8f45fdecf5d239f5d172c001de6aab4 *man/annotation_raster.Rd 393d6cd345f15044dbccc0fc1fbcccc8 *man/autoplot.Rd 3ce5324191cfe1f4576ef322a7ac814b *man/benchplot.Rd 33f26a4c3f709c607370b58182324866 *man/borders.Rd 0b5a8125d4bad4068151e37b446650d0 *man/calc_element.Rd 1a7fc8e2b4ddb698e1eb734a1888af7d *man/continuous_scale.Rd d34c77ebd995ddff20015b6441396e44 *man/coord.Rd d4560d8c1d434d6b1969c67ea6feab18 *man/coord_cartesian.Rd 198428d7c27059306765abfb1cb7e0e9 *man/coord_expand_defaults.Rd 8fe89dcc188c784453283cae8362436f *man/coord_fixed.Rd 1a92e019a78f44be33b30ea8d13dd4b5 *man/coord_flip.Rd c21e0ae69f763926ec02d03998af01b0 *man/coord_map.Rd 4f75d31c5433fd6bbe4b1b140f2c2f30 *man/coord_polar.Rd be90cdf6f48758df386904cb1e0340ea *man/coord_trans.Rd cc75f9311945e00800acb2cc383b5c6e *man/cut_interval.Rd 1f083848b4454297935ed8002d432d08 *man/cut_number.Rd 7cd340627cfffd0588ec01efe119282c *man/cweave.Rd 8dffced7acdd73572b0f897495fd484f *man/diamonds.Rd ed317052cda52383f79a6cc803ded516 *man/discrete_scale.Rd 66c51e6282fbdd4a6ea92aeeaf2f7468 *man/economics.Rd 9201d3655e0d2681d6f302acee35dd6d *man/element_blank.Rd 10dbf678e0aa4c6053010b87735fff50 *man/element_line.Rd 32d5e3ca63a01a6723bdf7dbe78ac4e6 *man/element_rect.Rd 18c93cfcc019ea5e4dca58a7ad0254d9 *man/element_text.Rd 1f4a6518a545649170b4f6630033fa47 *man/expand_limits.Rd fc0007c0b99136ba561d5f83445f0f6c *man/facet.Rd 2ceea38d8c4982b3a5f20d52bada6636 *man/facet_grid.Rd bd47b24e7720e45cf0e493b1708de99c *man/facet_null.Rd f57a0979f4214aea4be33ff16a35b98e *man/facet_wrap.Rd ad9a52790670dd0f25a8adc4b6846508 *man/fortify-multcomp.Rd aa54f670390829f838de4a1f5f223928 *man/fortify.Rd 7b991855af7377a4e7fc5ba9019a6e5e *man/fortify.lm.Rd d2032405c06f63e3cff901d0c2fa7285 *man/fortify.map.Rd 10e9282c972588bea0c6e1276d288c60 *man/fortify.sp.Rd 9d2de08867c752df6073a8ee84492027 *man/geom_abline.Rd 55eee75c1601c95a7171abafd0031082 *man/geom_area.Rd 716ab0e1cea0ec1efd100700d2302802 *man/geom_bar.Rd 265dcb094bb678164c6d7f2152b5c3f2 *man/geom_bin2d.Rd 7e436461f5ef6b9776042f10a3b5cea0 *man/geom_blank.Rd 444ea49a70b544baad302ef0fd7ad539 *man/geom_boxplot.Rd 315278ff76400b029d27ad4abfdec95b *man/geom_contour.Rd e56c6035bef0da33e85937a89592f766 *man/geom_crossbar.Rd e6812e01526f280024ec38687585e9a9 *man/geom_density.Rd 8c6bd54adf9b7efa06fe5ba7a99b77e6 *man/geom_density2d.Rd 30681808473da3e9cd672911a2587dba *man/geom_dotplot.Rd 10b44e28f18c77f272f713fb0c396521 *man/geom_errorbar.Rd 5d46766eb0de0cb23e3af6160c12ed18 *man/geom_errorbarh.Rd 1e590519dd98a717d95bc0e691efc652 *man/geom_freqpoly.Rd 9d6db3b63912b82de455be4f83d37ceb *man/geom_hex.Rd 858c1ac63ec2173db2ecc2685006d53f *man/geom_histogram.Rd 05e997f7dd5a9c4c5d4021abcfc3bf0a *man/geom_hline.Rd 8ac6dd0f01b2379c9c67c541098a6da8 *man/geom_jitter.Rd ce9355e3a1c5e5c887c20b0fda11fae4 *man/geom_line.Rd bb693a40276af193970e71a4b0c64913 *man/geom_linerange.Rd 9e43b2ec31c2ef9165dbdb3c593b872d *man/geom_map.Rd 354b975cea027771965b028f82b4c7bf *man/geom_path.Rd 0831ae36392538c1e60361b862debdd5 *man/geom_point.Rd daceb836a1a8d03ae3e692ed3d21bd90 *man/geom_pointrange.Rd 847e619ce8374639d3bcc964b308c3a7 *man/geom_polygon.Rd 8ee0fe25436ad26608b8bd06408d6d7b *man/geom_quantile.Rd 18e8cbb591ac4f0e7e703be76aa6f582 *man/geom_raster.Rd 62e37a830b42d6215aa33245de5758da *man/geom_rect.Rd 976f710a3aa1b7276d7c8551ac191340 *man/geom_ribbon.Rd 0a12e30560e6d7dd0023bb56d2517d57 *man/geom_rug.Rd b442cfc5be5a16800eb7a784ca1ad23c *man/geom_segment.Rd 5d534acaa2fa0b54e1a3eacbb4cb58d6 *man/geom_smooth.Rd eb47dd70c3a99f23ba4aa8c4711a3d52 *man/geom_step.Rd 77a04b2deea526b2ad3a7bac8bd8ebb0 *man/geom_text.Rd 7cd3e9f99d79412b3f4c12e24a641946 *man/geom_tile.Rd 14c703c7d09ac0eaaf78185c50b34af9 *man/geom_violin.Rd 572cea5856774208823d60283d18a1c2 *man/geom_vline.Rd 143a3afcc226d7d0af5f04c8682c636e *man/gg-add.Rd 9bf0640589a09029fff3886636b758c4 *man/gg_dep.Rd 16b0138513709ece3bbd7e6e9382937c *man/ggfluctuation.Rd 7beb1db580ceb3931b981e4eede3901f *man/ggmissing.Rd 877f2848360ec22736d2239ed769f8cf *man/ggorder.Rd a988d0bff727b0608579d65373190a4f *man/ggpcp.Rd f151d88a6cef612dbbc21b02a35bd3d6 *man/ggplot.Rd 52513056e66e78b84f32bc44024acaac *man/ggplot.data.frame.Rd 2bbfff326c3bc5638703bf039cbf7283 *man/ggplot2.Rd e9285c4d6200f92c1c0792280cb4a27d *man/ggplotGrob.Rd c2ebf1d0f9d2c215314e58d280733242 *man/ggplot_build.Rd 990d440ce353930c6e6aa085ea5a07ac *man/ggplot_gtable.Rd f15898088591e71642fe9fdd6a7cd9ef *man/ggsave.Rd 5247e8cc2e5a23b5860b81d12962e134 *man/ggscale.Rd ad9f2cd99b9d5844774cfb09596ee0ae *man/ggstructure.Rd 152b7f161d5b89daf01b6952bc3011f8 *man/guide_colourbar.Rd 31fce153247e86fa77286c95e67cb812 *man/guide_legend.Rd a2323fc0e4867724a619e697ac001c66 *man/guides.Rd b7420217cb903b2dc2973961683d835c *man/hmisc.Rd 9dee3f314202d4fc488dd129caa85de5 *man/interleave.Rd 76c692c6530f2210183ac091c5a2dfac *man/is.coord.Rd d98ad64f5a8bdcb597009121f2f373f0 *man/is.facet.Rd 60b34e72f6e6412a317f10b33a4d5775 *man/is.ggplot.Rd 8011140ccd8cec0499f1d7a24343b610 *man/is.rel.Rd b1b68d9b22cdefbaf25beeb5247e17d7 *man/is.theme.Rd 4984e605e7bf0bad1112a5d260071ba4 *man/label_both.Rd eb0ce6c1393f2344ad31aa73952af8f7 *man/label_bquote.Rd 587b537d6c9f4cd3b74eab03aaa4bc49 *man/label_parsed.Rd 0ed9bf4b7c87adbf38560d9a74375b7a *man/label_value.Rd 09febaf96deaa96c7b90584b22e89683 *man/labs.Rd b29b0c31ba29e9844bffd6020c46df4b *man/last_plot.Rd 80b34a8bee023f0600ef6657014496e6 *man/layer.Rd 2762d7f21a3cf2529acbbd8745fa8ca6 *man/limits.Rd b3a7bf62a36bfe4d3c67a03b39c8d9e8 *man/map_data.Rd 074cbad6e456988198c7467b9e4bcbcf *man/mean_se.Rd f02c570c24918618e61d3001825b7ee2 *man/midwest.Rd 5f1e5983c574b4f66ecb8097dad02c6d *man/movies.Rd a4806ff6d4b870c19a071532b5163fd2 *man/mpg.Rd 47b3e52794e392ed6b552a90c86e4aeb *man/msleep.Rd 34dd7a626dcd84588acdd9d3bcd501ad *man/opts.Rd 00bdbf6bae684fd888df9a9e48d0fb99 *man/plotmatrix.Rd 5bdcf97196cb9f7cc71b8ce8bfc6bd05 *man/position_dodge.Rd 559631d3055ddc145bfda74cfec500c2 *man/position_fill.Rd ebd4285b90632ec8a6420e050173bd85 *man/position_identity.Rd 9d06805d1d827079dfe6a3238147d187 *man/position_jitter.Rd ab4a87ca1886ab7360a28924a7a4833d *man/position_stack.Rd ac1e91d5585340e4cc76589d88a9edc3 *man/presidential.Rd 853f2f249b83aa4a4b418a64f051f592 *man/print.ggplot.Rd bd9566cbee356cdf513d6f619ae43681 *man/qplot.Rd 6d4350b101436d0d3f34cf78d185da57 *man/rel.Rd 0acc1392857c43b0809f1ae380613d5b *man/resolution.Rd 508d46677598b489b99bdcbbe9108087 *man/rweave.Rd 7408246a1dd45760d9415b4e8b52a637 *man/scale_alpha.Rd 6f724ca1e9c0d96bf73af017532818dc *man/scale_area.Rd 17f1b699683ac877f335fc3452c1e0b3 *man/scale_brewer.Rd 45e96c78bdfea81148bd4cf3a2e89a18 *man/scale_continuous.Rd 1beb44e296a5d1347cc266991579cf17 *man/scale_date.Rd 1cb1b47cd87d305fa777397de4b015d3 *man/scale_datetime.Rd 0daafa594ee8e5a7235819a2431fd97c *man/scale_discrete.Rd 624e7a1dfa7e44976304f97b5b1887ed *man/scale_gradient.Rd 6e657bf2b08238c4fe9ae438095c3357 *man/scale_gradient2.Rd 90b4091419fc942918e325c707a393b0 *man/scale_gradientn.Rd 6edc3841c3756b333013bc103c2f3641 *man/scale_grey.Rd edb37737fcbfac52ab01c8706233d456 *man/scale_hue.Rd 709d463aee9bf3764e4867f3b6de8dd2 *man/scale_identity.Rd 3f2d791ea0ea8ebda0954878c986a738 *man/scale_linetype.Rd b5c95675a9a8866736de3a10b3ccbc56 *man/scale_manual.Rd d2a34ce18ab49428a1d12c7a3a04788b *man/scale_shape.Rd e107c52a7a21560ee80428266f56434a *man/scale_size.Rd d8992c12a1271ff99859005bf7a1299d *man/scale_size_area.Rd 8d0aadf97c6a1d014267ecc9360b9a36 *man/seals.Rd 4a91a098bb010e9d226007b3339465c1 *man/should_stop.Rd 95647a0ba47477d0859c160a15064f4f *man/stat_abline.Rd d96256024cc5727a6583ae92141be514 *man/stat_bin.Rd eb8025d57a00da47178fdb8f8c028bc6 *man/stat_bin2d.Rd 4c16af34caaf4a06b79b0d1a2c378766 *man/stat_bindot.Rd 4ade66a4a13d513ff30e6c976f6171ef *man/stat_binhex.Rd e5e43769ffaa6fd08d71dd5f4e09af56 *man/stat_boxplot.Rd 1ba75982d7c49aba9e751bbe412fbdee *man/stat_contour.Rd 9b7dd5bd0f1661bc82dbbdda2f42e51a *man/stat_density.Rd f608a1ba79d67c045cf194dc96415932 *man/stat_density2d.Rd 6abd9651d521e9f152508fb6f4cdd32d *man/stat_ecdf.Rd ff2922881d62938f9eff7a4dd7cc49c3 *man/stat_function.Rd 540f7aff74ba9b2f1dc8d0bb98b53258 *man/stat_hline.Rd a88cd92639b1584f9ec227cff4615e9e *man/stat_identity.Rd dcb55d0b1f61443d078dcfa81e38895f *man/stat_qq.Rd ccf706eb15987d26dcd41ec2f0e96c77 *man/stat_quantile.Rd dfa0d475cab6b7ee010d21065ab8ecfc *man/stat_smooth.Rd 7c8be194b1a5fc6cb4d4e6207a782eee *man/stat_spoke.Rd 6690b2633df5dfb60a91904148bd1ec4 *man/stat_sum.Rd 13541ac66e18e00684fd04af8b612f73 *man/stat_summary.Rd af49d4166c5bbcd041c1eebd7113eaf2 *man/stat_summary2d.Rd ff969e2ff834e2ac5ff61a7be24fad43 *man/stat_summary_hex.Rd 93c6a2cf5aa5084084dcd7e630600c00 *man/stat_unique.Rd 5023474d338e73a610a2fe9606e7203b *man/stat_vline.Rd 2906bed985c4195c28e1ff133cd3aec6 *man/stat_ydensity.Rd 07450b4d2de2fa5bc07a246582fc0242 *man/summary.ggplot.Rd fdd4abdb2bf29592e8b0c349ee4327e5 *man/theme.Rd 96930d94e0d4c65472e853b6975a9a45 *man/theme_blank.Rd a1ec7cf071b2e250d22fa00ea24a63ab *man/theme_bw.Rd 6883032a5fd2003e825df1f5cd8a2927 *man/theme_classic.Rd 4c5517b8d019a18f4b7a9d31f69daa6e *man/theme_grey.Rd f71863431a58e7e0f4642db6ed510bb2 *man/theme_minimal.Rd 6fae43aa64823a09e4a043676dd80f53 *man/theme_update.Rd bea98576a0986cf8dbe47e982cb6b0bb *man/translate_qplot_base.Rd 3235f908c962515794b0ed70a06fac49 *man/translate_qplot_ggplot.Rd e6f02c978528db770e703bddb2fbde94 *man/translate_qplot_gpl.Rd 026263dc4ac4f7319dc69ca2fe0d62e8 *man/translate_qplot_lattice.Rd 4276cbcc0e0dc0d32834c5adb4ac3a7d *man/update_defaults.Rd 89baa2be7add4ce5410160291522ce84 *man/update_element.Rd f0731588d00937d08b2afd2e88e5add2 *man/update_labels.Rd cd642e034911fdead3ebe9cec3cce622 *man/waiver.Rd e868504746796454f51864acba92cc63 *man/xylim.Rd 4ca881973a6a28f78ee623155eddd9f1 *man/zeroGrob.Rd 18ce871dfe61dcdd288c02929f1b55d7 *tests/test-all.R ggplot2/inst/0000755000175100001440000000000012114161113012612 5ustar hornikusersggplot2/inst/staticdocs/0000755000175100001440000000000012114161113014752 5ustar hornikusersggplot2/inst/staticdocs/head.html0000644000175100001440000000203512114161113016541 0ustar hornikusers {{pagetitle}}. {{#package}}{{package}} {{version}}{{/package}} ggplot2/inst/staticdocs/index.r0000644000175100001440000004307212114161113016252 0ustar hornikuserslibrary(staticdocs) list( readme = "", index = list( sd_section("Geoms", "Geoms, short for geometric objects, describe the type of plot you will produce.", c( "geom_abline", "geom_area", "geom_bar", "geom_bin2d", "geom_blank", "geom_boxplot", "geom_contour", "geom_crossbar", "geom_density", "geom_density2d", "geom_dotplot", "geom_errorbar", "geom_errorbarh", "geom_freqpoly", "geom_hex", "geom_histogram", "geom_hline", "geom_jitter", "geom_line", "geom_linerange", "geom_map", "geom_path", "geom_point", "geom_pointrange", "geom_polygon", "geom_quantile", "geom_raster", "geom_rect", "geom_ribbon", "geom_rug", "geom_segment", "geom_smooth", "geom_step", "geom_text", "geom_tile", "geom_violin", "geom_vline" ) ), sd_section("Statistics", "It's often useful to transform your data before plotting, and that's what statistical transformations do.", c( "stat_bin", "stat_bin2d", "stat_bindot", "stat_binhex", "stat_boxplot", "stat_contour", "stat_density", "stat_density2d", "stat_ecdf", "stat_function", "stat_identity", "stat_qq", "stat_quantile", "stat_smooth", "stat_spoke", "stat_sum", "stat_summary", "stat_summary_hex", "stat_summary2d", "stat_unique", "stat_ydensity" ) ), sd_section("Scales", "Scales control the mapping between data and aesthetics.", c( "expand_limits", "guides", "guide_legend", "guide_colourbar", "scale_alpha", "scale_area", "scale_colour_brewer", "scale_colour_gradient", "scale_colour_gradient2", "scale_colour_gradientn", "scale_colour_grey", "scale_colour_hue", "scale_identity", "scale_manual", "scale_linetype", "scale_shape", "scale_size", "scale_x_continuous", "scale_x_date", "scale_x_datetime", "scale_x_discrete", "labs", "update_labels", "xlim" ) ), sd_section("Coordinate systems", "Coordinate systems adjust the mapping from coordinates to the 2d plane of the computer screen.", c( "coord_cartesian", "coord_fixed", "coord_flip", "coord_map", "coord_polar", "coord_trans" ) ), sd_section("Faceting", "Facets display subsets of the dataset in different panels.", c( "facet_grid", "facet_null", "facet_wrap", "label_both", "label_bquote", "label_parsed", "label_value" ) ), sd_section("Position adjustments", "Position adjustments can be used to fine tune positioning of objects to achieve effects like dodging, jittering and stacking.", c( "position_dodge", "position_fill", "position_identity", "position_stack", "position_jitter" ) ), sd_section("Data", "Data sets included in ggplot2 and used in examples", c( "diamonds", "economics", "midwest", "movies", "mpg", "msleep", "presidential", "seals" ) ), sd_section("Anotation", "Specialised functions for adding annotations to a plot", c( "annotate", "annotation_custom", "annotation_logticks", "annotation_map", "annotation_raster", "borders" ) ), sd_section("Fortify", "Fortify methods make it possible to use ggplot2 with objects of various types, not just data frames.", c( "fortify", "fortify-multcomp", "fortify.lm", "fortify.map", "fortify.sp", "map_data" ) ), sd_section("Themes", "Themes control non-data components of the plot", c( "add_theme", "calc_element", "element_blank", "element_line", "element_rect", "element_text", "is.rel", "is.theme", "opts", "rel", "theme", "theme_bw", "theme_grey", "theme_update", "update_element" ) ), sd_section("Plot creation", "", c( "ggplot", "qplot", "+.gg", "autoplot", "ggplot.data.frame", "is.ggplot", "print.ggplot" ) ), sd_section("Aesthetics", "", c( "aes", "aes_all", "aes_auto", "aes_string", "aes_colour_fill_alpha", "aes_group_order", "aes_linetype_size_shape", "aes_position" ) ) ), icons = list( coord_cartesian = sd_icon({ gTree(children = gList( segmentsGrob(c(0, 0.25), c(0.25, 0), c(1, 0.25), c(0.25, 1), gp=gpar(col="grey50", lwd=0.5)), segmentsGrob(c(0, 0.75), c(0.75, 0), c(1, 0.75), c(0.75, 1), gp=gpar(col="grey50", lwd=0.5)), segmentsGrob(c(0, 0.5), c(0.5, 0), c(1, 0.5), c(0.5, 1)) )) }), coord_fixed = sd_icon({ textGrob("=", gp = gpar(cex=3)) }), coord_flip = sd_icon({ angles <- seq(0, pi/2, length=20)[-c(1, 20)] gTree(children=gList( segmentsGrob(0, 0, 0, 1), segmentsGrob(0, 0, 1, 0), linesGrob(0.9 * sin(angles), 0.9 * cos(angles), arrow=arrow(length=unit(0.05, "npc"))), linesGrob(0.5 * sin(angles), 0.5 * cos(angles), arrow=arrow(ends="first", length= unit(0.05, "npc"))) )) }), coord_map = sd_icon({ nz <- data.frame(map("nz", plot=FALSE)[c("x","y")]) nz$x <- nz$x - min(nz$x, na.rm=TRUE) nz$y <- nz$y - min(nz$y, na.rm=TRUE) nz <- nz / max(nz, na.rm=TRUE) linesGrob(nz$x, nz$y, default.units="npc") }), coord_polar = sd_icon({ circleGrob(r = c(0.1, 0.25, 0.45), gp = gpar(fill = NA)) }), coord_transform = sd_icon({ breaks <- cumsum(1 / 2^(1:5)) gTree(children = gList( segmentsGrob(breaks, 0, breaks, 1), segmentsGrob(0, breaks, 1, breaks) )) }), facet_grid = sd_icon({ gTree(children = gList( rectGrob(0, 1, width=0.95, height=0.05, hjust=0, vjust=1, gp=gpar(fill="grey60", col=NA)), rectGrob(0.95, 0.95, width=0.05, height=0.95, hjust=0, vjust=1, gp=gpar(fill="grey60", col=NA)), segmentsGrob(c(0, 0.475), c(0.475, 0), c(1, 0.475), c(0.475, 1)) )) }), facet_null = sd_icon({ gTree(children = gList( rectGrob(0, 1, width=0.95, height=0.05, hjust=0, vjust=1, gp=gpar(fill="grey60", col=NA)), rectGrob(0.95, 0.95, width=0.05, height=0.95, hjust=0, vjust=1, gp=gpar(fill="grey60", col=NA)), segmentsGrob(c(0, 0.475), c(0.475, 0), c(1, 0.475), c(0.475, 1)) )) }), geom_abline = sd_icon(linesGrob(c(0, 1), c(0.2, 0.8))), geom_bar = sd_icon({ rectGrob(c(0.3, 0.7), c(0.4, 0.8), height = c(0.4, 0.8), width = 0.3, vjust = 1, gp = gpar(fill = "grey20", col = NA)) }), geom_histogram = sd_icon({ y <- c(0.2, 0.3, 0.5, 0.6,0.2, 0.8, 0.5, 0.3) rectGrob(seq(0.1, 0.9, by = 0.1), y, height = y, width = 0.1, vjust = 1, gp = gpar(fill = "grey20", col = NA)) }), geom_boxplot = sd_icon({ gTree(children = gList( segmentsGrob(c(0.3, 0.7), c(0.1, 0.2), c(0.3, 0.7), c(0.7, 0.95)), rectGrob(c(0.3, 0.7), c(0.6, 0.8), width = 0.3, height = c(0.4, 0.4), vjust = 1), segmentsGrob(c(0.15, 0.55), c(0.5, 0.6), c(0.45, 0.85), c(0.5, 0.6)) )) }), geom_crossbar = sd_icon({ gTree(children = gList( rectGrob(c(0.3, 0.7), c(0.6, 0.8), width = 0.3, height = c(0.4, 0.4), vjust = 1), segmentsGrob(c(0.15, 0.55), c(0.5, 0.6), c(0.45, 0.85), c(0.5, 0.6)) )) }), geom_dotplot = sd_icon({ xpos <- c(1,1,2,3,3,3,4,4,5,5,5,5,6,7,7,7,8,8,9)/10 ypos <- c(1,2,1,1,2,3,1,2,1,2,3,4,1,1,2,3,1,2,1)/10 pointsGrob(x = xpos, y = ypos, pch = 19, size = unit(.1, "npc"), gp = gpar(col = "black", cex = 0.5), default.units = "npc") }), geom_errorbar = sd_icon({ gTree(children = gList( segmentsGrob(c(0.3, 0.7), c(0.3, 0.5), c(0.3, 0.7), c(0.7, 0.9)), segmentsGrob(c(0.15, 0.55), c(0.3, 0.5), c(0.45, 0.85), c(0.3, 0.5)), segmentsGrob(c(0.15, 0.55), c(0.7, 0.9), c(0.45, 0.85), c(0.7, 0.9)) )) }), geom_errorbarh = sd_icon({ gTree(children = gList( segmentsGrob(c(0.5, 0.3), c(0.70, 0.30), c(0.9, 0.7), c(0.70, 0.30)), segmentsGrob(c(0.5, 0.3), c(0.55, 0.15), c(0.5, 0.3), c(0.85, 0.45)), segmentsGrob(c(0.9, 0.7), c(0.55, 0.15), c(0.9, 0.7), c(0.85, 0.45)) )) }), geom_freqpoly = sd_icon({ y <- c(0.2, 0.3, 0.5, 0.6,0.2, 0.8, 0.5, 0.3) linesGrob(seq(0.1, 0.9, by = 0.1), y, gp = gpar(col = "grey20")) }), geom_hline = sd_icon({ linesGrob(c(0, 1), c(0.5, 0.5)) }), geom_linerange = sd_icon({ segmentsGrob(c(0.3, 0.7), c(0.1, 0.2), c(0.3, 0.7), c(0.7, 0.95)) }), geom_path = sd_icon({ linesGrob(c(0.2, 0.4, 0.8, 0.6, 0.5), c(0.2, 0.7, 0.4, 0.1, 0.5)) }), geom_contour = sd_icon({ gTree(children = gList( polygonGrob(c(0.45,0.5,0.6, 0.5), c(0.5, 0.4, 0.55, 0.6)), polygonGrob(c(0.25,0.6,0.8, 0.5), c(0.5, 0.2, 0.75, 0.9), gp = gpar(fill = NA)) )) }), geom_density2d = sd_icon(inherit = "geom_contour"), geom_line = sd_icon({ pos <- seq(0, 1, length = 5) linesGrob(pos, c(0.2, 0.7, 0.4, 0.8, 0.3)) }), geom_step = sd_icon({ n <- 15 xs <- rep(0:n, each = 2)[-2*(n + 1)] / 15 ys <- c(0, rep(1:n, each = 2)) / 15 linesGrob(xs, ys, gp = gpar(col = "grey20")) }), geom_point = sd_icon({ pos <- seq(0.1, 0.9, length = 6) pointsGrob(x = pos, y = pos, pch = 19, gp = gpar(col = "black", cex = 0.5), default.units = "npc") }), geom_jitter = sd_icon({ pos <- seq(0.1, 0.9, length = 6) pointsGrob(x = pos, y = jitter(pos, 3), pch = 19, gp = gpar(col = "black", cex = 0.5), default.units = "npc") }), geom_pointrange = sd_icon({ gTree(children = gList( segmentsGrob(c(0.3, 0.7), c(0.1, 0.2), c(0.3, 0.7), c(0.7, 0.95)), pointsGrob(c(0.3, 0.7), c(0.4, 0.6), pch = 19, gp = gpar(col = "black", cex = 0.5), default.units = "npc") )) }), geom_polygon = sd_icon({ polygonGrob(c(0.1, 0.4, 0.7, 0.9, 0.6, 0.3), c(0.5, 0.8, 0.9, 0.4, 0.2, 0.3), gp = gpar(fill = "grey20", col = NA)) }), geom_quantile = sd_icon({ gTree(children = gList( linesGrob(c(0, 0.3, 0.5, 0.8, 1), c(0.8, 0.65, 0.6, 0.6, 0.8)), linesGrob(c(0, 0.3, 0.5, 0.8, 1), c(0.55, 0.45, 0.5, 0.45, 0.55)), linesGrob(c(0, 0.3, 0.5, 0.8, 1), c(0.3, 0.25, 0.4, 0.3, 0.2)) )) }), geom_raster = sd_icon({ rectGrob(c(0.25, 0.25, 0.75, 0.75), c(0.25, 0.75, 0.75, 0.25), width = 0.5, height = c(0.67, 0.5, 0.67, 0.5), gp = gpar(col = "grey20", fill = c('#804070', '#668040'))) }), geom_rect = sd_icon({ rectGrob(c(0.3, 0.7), c(0.4, 0.8), height = c(0.4, 0.8), width = 0.3, vjust = 1, gp = gpar(fill = "grey20", col = NA)) }), geom_ribbon = sd_icon({ polygonGrob(c(0, 0.3, 0.5, 0.8, 1, 1, 0.8, 0.5, 0.3, 0), c(0.5, 0.3, 0.4, 0.2, 0.3, 0.7, 0.5, 0.6, 0.5, 0.7), gp = gpar(fill = "grey20", col = NA)) }), geom_area = sd_icon({ polygonGrob(c(0, 0,0.3, 0.5, 0.8, 1, 1), c(0, 1,0.5, 0.6, 0.3, 0.8, 0), gp = gpar(fill = "grey20", col = NA)) }), geom_density = sd_icon({ x <- seq(0, 1, length = 80) y <- dnorm(x, mean = 0.5, sd = 0.15) linesGrob(x, 0.05 + y / max(y) * 0.9, default = "npc") }), geom_segment = sd_icon({ segmentsGrob(c(0.1, 0.3, 0.5, 0.7), c(0.3, 0.5, 0.1, 0.9), c(0.2, 0.5, 0.7, 0.9), c(0.8, 0.7, 0.4, 0.3)) }), geom_smooth = sd_icon({ gTree(children = gList( polygonGrob(c(0, 0.3, 0.5, 0.8, 1, 1, 0.8, 0.5, 0.3, 0), c(0.5, 0.3, 0.4, 0.2, 0.3, 0.7, 0.5, 0.6, 0.5, 0.7), gp = gpar(fill = "grey60", col = NA)), linesGrob(c(0, 0.3, 0.5, 0.8, 1), c(0.6, 0.4, 0.5, 0.4, 0.6)) )) }), geom_text = sd_icon({ textGrob("text", rot = 45, gp = gpar(cex = 1.2)) }), geom_tile = sd_icon({ rectGrob(c(0.25, 0.25, 0.75, 0.75), c(0.25, 0.75, 0.75, 0.25), width = 0.5, height = c(0.67, 0.5, 0.67, 0.5), gp = gpar(col = "grey20", fill = c('#804070', '#668040'))) }), geom_violin = sd_icon({ y <- seq(-.3, .3, length = 40) x1 <- dnorm(y, mean = -.15, sd = 0.05) + 1.5 * dnorm(y, mean = 0.1, sd = 0.1) x2 <- dnorm(y, mean = -.1, sd = 0.1) + dnorm(y, mean = 0.1, sd = 0.1) y <- c(y, rev(y)) x1 <- c(x1, -rev(x1)) / max(8 * x1) x2 <- c(x2, -rev(x2)) / max(8 * x2) gp <- gpar(fill = "black") gTree(children = gList( polygonGrob(x1 + .30, y + .35, default = "npc", gp = gp), polygonGrob(x2 + .70, y + .55, default = "npc", gp = gp)) ) }), geom_vline = sd_icon({ linesGrob(c(0.5, 0.5), c(0, 1)) }), position_dodge = sd_icon({ y <- c(0.5, 0.3) rectGrob(c(0.25, 0.75), y, width = 0.4, height = y, gp = gpar(col = "grey60", fill = c('#804070', '#668040')), vjust = 1) }), position_fill = sd_icon({ y <- c(0.5, 0.8) rectGrob(0.5, c(0.625, 1), width = 0.4, height = c(0.625, 0.375), gp = gpar(col = "grey60", fill = c('#804070', '#668040')), vjust = 1) }), position_identity = sd_icon({ rectGrob(0.5, c(0.5, 0.3), width = 0.4, height = c(0.5, 0.3), gp = gpar(col = "grey60", fill = c('#804070', '#668040')), vjust = 1) }), position_jitter = sd_icon(inherit = "geom_jitter" ), position_stack = sd_icon({ y <- c(0.5, 0.8) rectGrob(0.5, c(0.5, 0.8), width = 0.4, height = c(0.5, 0.3), gp = gpar(col = "grey60", fill = c('#804070', '#668040')), vjust = 1) }), scale_alpha = sd_icon({ x <- c(0.1, 0.3, 0.5, 0.7, 0.9) rectGrob(x, width=0.25, gp=gpar(fill=alpha("black", x), col=NA) ) }), scale_colour_brewer = sd_icon({ rectGrob(c(0.1, 0.3, 0.5, 0.7, 0.9), width=0.21, gp=gpar(fill=RColorBrewer::brewer.pal(5, "PuOr"), col=NA) ) }), scale_colour_gradient = sd_icon({ g <- scale_fill_gradient() scale_train(g, 1:5) rectGrob(c(0.1, 0.3, 0.5, 0.7, 0.9), width=0.21, gp=gpar(fill=scale_map(g, 1:5), col=NA) ) }), scale_colour_gradient2 = sd_icon({ g <- scale_fill_gradient2() scale_train(g, 1:5 - 3) rectGrob(c(0.1, 0.3, 0.5, 0.7, 0.9), width=0.21, gp=gpar(fill=scale_map(g, 1:5 - 3), col=NA) ) }), scale_colour_gradientn = sd_icon({ g <- scale_fill_gradientn(colours = rainbow(7)) scale_train(g, 1:5) rectGrob(c(0.1, 0.3, 0.5, 0.7, 0.9), width=0.21, gp=gpar(fill = scale_map(g, 1:5), col=NA) ) }), scale_colour_grey = sd_icon({ rectGrob(c(0.1, 0.3, 0.5, 0.7, 0.9), width=0.21, gp=gpar(fill=gray(seq(0, 1, length=5)), col=NA) ) }), scale_colour_hue = sd_icon({ rectGrob(c(0.1, 0.3, 0.5, 0.7, 0.9), width=0.21, gp=gpar(fill=hcl(seq(0, 360, length=6)[-6], c=100, l=65), col=NA) ) }), scale_identity = sd_icon({ textGrob("f(x) = x", gp=gpar(cex=1.2)) }), scale_linetype = sd_icon({ gTree(children=gList( segmentsGrob(0, 0.25, 1, 0.25, gp=gpar(lty=1)), segmentsGrob(0, 0.50, 1, 0.50, gp=gpar(lty=2)), segmentsGrob(0, 0.75, 1, 0.75, gp=gpar(lty=3)) )) }), scale_manual = sd_icon({ textGrob("DIY", gp=gpar(cex=1.2)) }), scale_shape = sd_icon({ gTree(children=gList( circleGrob(0.7, 0.7, r=0.1), segmentsGrob(0.2, 0.3, 0.4, 0.3), segmentsGrob(0.3, 0.2, 0.3, 0.4), polygonGrob(c(0.2, 0.2, 0.4, 0.4), c(0.8, 0.6, 0.6, 0.8)), polygonGrob(c(0.6, 0.7, 0.8), c(0.2, 0.4, 0.2)) )) }), scale_size = sd_icon({ pos <- c(0.15, 0.3, 0.5, 0.75) circleGrob(pos, pos, r=(c(0.1, 0.2, 0.3, 0.4)/2.5), gp=gpar(fill="grey50", col=NA)) }), scale_x_date = sd_icon({ textGrob("14/10/1979", gp=gpar(cex=1)) }), scale_x_datetime = sd_icon({ textGrob("14/10/1979\n10:14am", gp=gpar(cex=0.9)) }), stat_bin = sd_icon(inherit = "geom_histogram" ), stat_bindot = sd_icon(inherit = "geom_dotplot" ), stat_boxplot = sd_icon(inherit = "geom_boxplot" ), stat_contour = sd_icon(inherit = "geom_contour" ), stat_density2d = sd_icon(inherit = "geom_density2d" ), stat_ecdf = sd_icon(inherit = "geom_step"), stat_density = sd_icon(inherit = "geom_density" ), stat_identity = sd_icon({ textGrob('f(x) = x', gp = gpar(cex = 1.2)) }), stat_quantile = sd_icon(inherit = "geom_quantile" ), stat_smooth = sd_icon(inherit = "geom_smooth" ), stat_sum = sd_icon({ textGrob(expression(Sigma), gp = gpar(cex = 4)) }), # The line stats will be removed in the future stat_abline = sd_icon(inherit = "geom_abline" ), stat_vline = sd_icon(inherit = "geom_vline" ), stat_hline = sd_icon(inherit = "geom_hline" ), stat_ydensity = sd_icon(inherit = "geom_violin" ) ))ggplot2/inst/staticdocs/footer.html0000644000175100001440000000064412114161113017142 0ustar hornikusers

Back to top

What do you think of the documentation? Please let me know by filling out this short online survey.

Built by staticdocs. Styled with bootstrap.

ggplot2/inst/test_ns/0000755000175100001440000000000012114160774014305 5ustar hornikusersggplot2/inst/test_ns/R/0000755000175100001440000000000012114160774014506 5ustar hornikusersggplot2/inst/test_ns/R/my-plot.r0000644000175100001440000000036112114160774016272 0ustar hornikusers#' Create a plot. #' #' @export #' @import ggplot2 #' @examples #' plot(my_plot()) my_plot <- function() { df <- data.frame(x = 1:10, y = sample(10), z = runif(1)) ggplot(df) + geom_point(aes_string(x = "x", y = "y", colour = "z")) }ggplot2/inst/test_ns/DESCRIPTION0000644000175100001440000000044512114160774016016 0ustar hornikusersPackage: nstest Type: Package Title: Test ggplot2 NAMESPACE Version: 0.1 Author: Hadley Wickham Maintainer: Hadley Wickham Description: Check to see if ggplot2 namespace set up correctly. Imports: ggplot2 License: GPL-2 Collate: 'my-plot.r' ggplot2/inst/test_ns/man/0000755000175100001440000000000012114160774015060 5ustar hornikusersggplot2/inst/test_ns/man/my_plot.Rd0000644000175100001440000000021312114160774017026 0ustar hornikusers\name{my_plot} \alias{my_plot} \title{Create a plot.} \usage{ my_plot() } \description{ Create a plot. } \examples{ plot(my_plot()) } ggplot2/inst/test_ns/NAMESPACE0000644000175100001440000000004012114160774015516 0ustar hornikusersexport(my_plot) import(ggplot2) ggplot2/inst/CITATION0000644000175100001440000000061212114160774013762 0ustar hornikuserscitHeader("To cite ggplot2 in publications, please use:") citEntry(entry = "book", author = "Hadley Wickham", title = "ggplot2: elegant graphics for data analysis", publisher = "Springer New York", year = "2009", isbn = "978-0-387-98140-6", url = "http://had.co.nz/ggplot2/book", textVersion = "H. Wickham. ggplot2: elegant graphics for data analysis. Springer New York, 2009." )ggplot2/inst/tests/0000755000175100001440000000000012114161113013754 5ustar hornikusersggplot2/inst/tests/helper-plot-data.r0000644000175100001440000000137112114160774017317 0ustar hornikuserspdata <- function(x) ggplot_build(x)$data # Transform the data as the coordinate system does cdata <- function(plot) { pieces <- ggplot_build(plot) lapply(pieces$data, function(d) { ddply(d, "PANEL", function(panel_data) { scales <- panel_scales(pieces$panel, panel_data$PANEL[1]) details <- coord_train(plot$coord, scales) coord_transform(plot$coord, panel_data, details) }) }) } pranges <- function(plot) { panels <- ggplot_build(plot)$panel x_ranges <- lapply(panels$x_scales, scale_limits) y_ranges <- lapply(panels$y_scales, scale_limits) npscales <- plot$scales$non_position_scales() npranges <- lapply(npscales$scales$scales, scale_limits) c(list(x = x_ranges, y = y_ranges), npranges) } ggplot2/inst/tests/test-dotplot.r0000644000175100001440000000356112114160774016622 0ustar hornikuserscontext("Dotplot") set.seed(111) dat <- data.frame(x = LETTERS[1:2], y = rnorm(30), g = LETTERS[3:5]) test_that("Dodging works", { p <- ggplot(dat, aes(x = x, y = y, fill = g)) + geom_dotplot(binwidth=.2, binaxis="y", position="dodge", stackdir="center") bp <- ggplot_build(p) df <- bp$data[[1]] # Number of levels in the dodged variable ndodge <- 3 # The amount of space allocated within each dodge group dwidth <- .9 / ndodge # This should be the x position for each before dodging xbase <- ceiling(df$group / ndodge) # This is the offset from dodging xoffset <- (df$group-1) %% ndodge - (ndodge-1) / 2 xoffset <- xoffset * dwidth # Check actual x locations equal predicted x locations expect_true(all(abs(df$x - (xbase + xoffset)) < 1e-6)) # Check that xmin and xmax are in the right place expect_true(all(abs(df$xmax - df$x - dwidth/2) < 1e-6)) expect_true(all(abs(df$x - df$xmin - dwidth/2) < 1e-6)) }) test_that("Binning works", { bp <- ggplot_build(ggplot(dat, aes(x=y)) + geom_dotplot(binwidth=.4, method="histodot")) x <- bp$data[[1]]$x # Need ugly hack to make sure mod function doesn't give values like -3.99999 # due to floating point error expect_true(all(abs((x - min(x) + 1e-7) %% .4) < 1e-6)) bp <- ggplot_build(ggplot(dat, aes(x=y)) + geom_dotplot(binwidth=.4, method="dotdensity")) x <- bp$data[[1]]$x # This one doesn't ensure that dotdensity works, but it does check that it's not # doing fixed bin sizes expect_false(all(abs((x - min(x) + 1e-7) %% .4) < 1e-6)) }) test_that("NA's result in warning from stat_bindot", { set.seed(122) dat <- data.frame(x=rnorm(20)) dat$x[c(2,10)] <- NA # Need to assign it to a var here so that it doesn't automatically print expect_that(bp <- ggplot_build(ggplot(dat, aes(x)) + geom_dotplot(binwidth=.2)), gives_warning("Removed 2 rows.*stat_bindot")) }) ggplot2/inst/tests/test-data.r0000644000175100001440000000165712114160774016052 0ustar hornikuserscontext("Data") test_that("stringsAsFactors doesn't affect results", { sAF <- getOption("stringsAsFactors") dat.character <- data.frame(x=letters[5:1], y=1:5, stringsAsFactors=FALSE) dat.factor <- data.frame(x=letters[5:1], y=1:5, stringsAsFactors=TRUE) base <- ggplot(, aes(x, y)) + geom_point() xlabels <- function(x) x$panel$ranges[[1]]$x.labels options(stringsAsFactors = TRUE) char_true <- ggplot_build(base %+% dat.character) factor_true <- ggplot_build(base %+% dat.factor) options(stringsAsFactors = FALSE) char_false <- ggplot_build(base %+% dat.character) factor_false <- ggplot_build(base %+% dat.factor) options(stringsAsFactors = sAF) expect_that(xlabels(char_true), equals(letters[1:5])) expect_that(xlabels(char_false), equals(letters[1:5])) expect_that(xlabels(factor_true), equals(letters[1:5])) expect_that(xlabels(factor_false), equals(letters[1:5])) })ggplot2/inst/tests/test-empty-data.r0000644000175100001440000001176012114160774017202 0ustar hornikuserscontext('Empty data') df0 <- data.frame(mpg=numeric(0), wt=numeric(0), am=numeric(0), cyl=numeric(0)) test_that("layers with empty data are silently omitted", { # Empty data (no visible points) d <- pdata(ggplot(df0, aes(x=mpg,y=wt)) + geom_point()) expect_equal(nrow(d[[1]]), 0) d <- pdata(ggplot() + geom_point(data=df0, aes(x=mpg,y=wt))) expect_equal(nrow(d[[1]]), 0) # Regular mtcars data, x=mpg, y=wt, normal points and points from empty data frame d <- pdata(ggplot(mtcars, aes(x=mpg, y=wt)) + geom_point() + geom_point(data=df0)) expect_equal(nrow(d[[1]]), nrow(mtcars)) expect_equal(nrow(d[[2]]), 0) # Regular mtcars data, but points only from empty data frame d <- pdata(ggplot(mtcars, aes(x=mpg, y=wt)) + geom_point(data=df0)) expect_equal(nrow(d[[1]]), 0) }) test_that("plots with empty data and vectors for aesthetics work", { # Empty data with x and y mapped to vector of values d <- pdata(qplot(1:5, 1:5)) expect_equal(nrow(d[[1]]), 5) d <- pdata(ggplot(mapping=aes(x=1:5, y=1:5)) + geom_point()) expect_equal(nrow(d[[1]]), 5) d <- pdata(ggplot() + geom_point(aes(x=1:5, y=1:5))) expect_equal(nrow(d[[1]]), 5) }) test_that("layers with empty data are silently omitted with facets", { # Empty data, facet_wrap, throws error expect_error(ggplot_build(ggplot(df0, aes(x=mpg, y=wt)) + geom_point() + facet_wrap(~ cyl))) # Empty data, facet_grid, throws error expect_error(ggplot_build(ggplot(df0, aes(x=x, y=y)) + geom_point() + facet_grid(am ~ cyl))) # points from mtcars points and points from empty data frame, facet_wrap d <- pdata(ggplot(mtcars, aes(x=mpg, y=wt)) + geom_point() + geom_point(data=df0) + facet_wrap(~ cyl)) expect_equal(nrow(d[[1]]), nrow(mtcars)) expect_equal(nrow(d[[2]]), 0) # points from mtcars points and points from empty data frame, facet_grid d <- pdata(ggplot(mtcars, aes(x=mpg, y=wt)) + geom_point() + geom_point(data=df0) + facet_grid(am ~ cyl)) expect_equal(nrow(d[[1]]), nrow(mtcars)) expect_equal(nrow(d[[2]]), 0) }) test_that("data is not inherited when when data=data.frame()", { # Should error when totally empty data frame because there's no x and y expect_error(ggplot_build(ggplot(mtcars, aes(x=mpg, y=wt)) + geom_point() + geom_point(data=data.frame()))) # No extra points when x and y vars exist, but are empty d <- pdata(ggplot(mtcars, aes(x=mpg, y=wt)) + geom_point() + geom_point(data = data.frame(mpg=numeric(0), wt=numeric(0)))) expect_equal(nrow(d[[1]]), nrow(mtcars)) expect_equal(nrow(d[[2]]), 0) # No extra points when x and y vars don't exist but are set d <- pdata(ggplot(mtcars, aes(x=mpg, y=wt)) + geom_point() + geom_point(data=data.frame(mpg=numeric(0), wt=numeric(0)), x = 20, y = 3, colour = "red", size = 5)) expect_equal(nrow(d[[1]]), nrow(mtcars)) expect_equal(nrow(d[[2]]), 0) # No extra points when x and y vars exist, but are empty, even when aesthetics are set d <- pdata(ggplot(mtcars, aes(x=mpg, y=wt)) + geom_point() + geom_point(data=data.frame(mpg=numeric(0), wt=numeric(0)), x = 20, y = 3, colour = "red", size = 5)) expect_equal(nrow(d[[1]]), nrow(mtcars)) expect_equal(nrow(d[[2]]), 0) }) test_that("data is inherited when data=NULL", { # NULL should inherit data d <- pdata(ggplot(mtcars, aes(x=mpg, y=wt)) + geom_point() + geom_point(data=NULL)) expect_equal(nrow(d[[1]]), nrow(mtcars)) expect_equal(nrow(d[[2]]), nrow(mtcars)) # NULL should inherit data when all aesthetics are set d <- pdata(ggplot(mtcars, aes(x=mpg, y=wt)) + geom_point() + geom_point(data=NULL, x = 20, y = 3, colour = "red", size = 5)) expect_equal(nrow(d[[1]]), nrow(mtcars)) expect_equal(nrow(d[[2]]), nrow(mtcars)) # NULL should inherit data when facet_wrap is used d <- pdata(ggplot(mtcars, aes(x=mpg, y=wt)) + geom_point() + geom_point(data=NULL) + facet_wrap(~ cyl)) expect_equal(nrow(d[[1]]), nrow(mtcars)) expect_equal(nrow(d[[2]]), nrow(mtcars)) # NULL should inherit data when all aesthetics are set and facet_wrap is used d <- pdata(ggplot(mtcars, aes(x=mpg, y=wt)) + geom_point() + geom_point(data=NULL, x = 20, y = 3, colour = "red", size = 5) + facet_wrap(~ cyl)) expect_equal(nrow(d[[1]]), nrow(mtcars)) expect_equal(nrow(d[[2]]), nrow(mtcars)) expect_equal(sort(d[[1]]$PANEL), sort(d[[2]]$PANEL)) # NULL should inherit data when facet_grid is used d <- pdata(ggplot(mtcars, aes(x=mpg, y=wt)) + geom_point() + geom_point(data=NULL) + facet_grid(am ~ cyl)) expect_equal(nrow(d[[1]]), nrow(mtcars)) expect_equal(nrow(d[[2]]), nrow(mtcars)) # NULL should inherit data when all aesthetics are set and facet_grid is used d <- pdata(ggplot(mtcars, aes(x=mpg, y=wt)) + geom_point() + geom_point(data=NULL, x = 20, y = 3, colour = "red", size = 5) + facet_grid(am ~ cyl)) expect_equal(nrow(d[[1]]), nrow(mtcars)) expect_equal(nrow(d[[2]]), nrow(mtcars)) expect_equal(sort(d[[1]]$PANEL), sort(d[[2]]$PANEL)) # In the future, the behavior of NULL may change, and a test for waiver will # also be added. }) ggplot2/inst/tests/test-utilities.r0000644000175100001440000000261712114161113017135 0ustar hornikuserscontext("Utilities") test_that("finite.cases.data.frame", { # All finite -------------------------------------------------------------- expect_identical(finite.cases(data.frame(x=4)), TRUE) # 1x1 expect_identical(finite.cases(data.frame(x=4, y=11)), TRUE) # 1x2 expect_identical(finite.cases(data.frame(x=4:5)), c(TRUE, TRUE)) # 2x1 expect_identical(finite.cases(data.frame(x=4:5, y=11:12)), c(TRUE, TRUE)) # 2x2 # Has one NA -------------------------------------------------------------- expect_identical(finite.cases(data.frame(x=NA)), FALSE) # 1x1 expect_identical(finite.cases(data.frame(x=4, y=NA)), FALSE) # 1x2 expect_identical(finite.cases(data.frame(x=c(4,NA))), c(TRUE, FALSE)) # 2x1 expect_identical(finite.cases(data.frame(x=c(4,NA), y=c(11,NA))), c(TRUE, FALSE)) # 2x2 expect_identical(finite.cases(data.frame(x=c(4,NA), y=c(NA,12))), c(FALSE, FALSE)) # 2x2 expect_identical(finite.cases(data.frame(x=c(4,5), y=c(NA,12))), c(FALSE, TRUE)) # 2x2 # Testing NaN and Inf, using miscellaneous data shapes -------------------- expect_identical(finite.cases(data.frame(x=c(4,NaN))), c(TRUE, FALSE)) expect_identical(finite.cases(data.frame(x=Inf)), FALSE) expect_identical(finite.cases(data.frame(x=c(4,5), y=c(-Inf,12))), c(FALSE, TRUE)) }) ggplot2/inst/tests/test-build.r0000644000175100001440000000247312114160774016235 0ustar hornikusers# Test the complete path from plot specification to rendered data context("Plot building") df <- data.frame(x = 1:3, y = 3:1, z = letters[1:3]) test_that("there is one data frame for each layer", { l1 <- ggplot(df, aes(x, y)) + geom_point() l2 <- ggplot(df, aes(x, y)) + geom_point() + geom_line() l3 <- ggplot(df, aes(x, y)) + geom_point() + geom_line() + geom_point() expect_that(length(pdata(l1)), equals(1)) expect_that(length(pdata(l2)), equals(2)) expect_that(length(pdata(l3)), equals(3)) }) test_that("position aesthetics coerced to correct type", { l1 <- ggplot(df, aes(x, y)) + geom_point() d1 <- pdata(l1)[[1]] expect_that(d1$x, is_a("numeric")) expect_that(d1$y, is_a("numeric")) l2 <- ggplot(df, aes(x, z)) + geom_point() + scale_x_discrete() d2 <- pdata(l2)[[1]] expect_that(d2$x, is_a("integer")) expect_that(d2$y, is_a("integer")) }) test_that("non-position aesthetics are mapped", { l1 <- ggplot(df, aes(x, y, fill = z, colour = z, shape = z, size = z)) + geom_point() d1 <- pdata(l1)[[1]] expect_that(sort(names(d1)), equals(sort(c("x", "y", "fill", "group", "colour", "shape", "size", "PANEL")))) l2 <- l1 + scale_colour_manual(values = c("blue", "red", "yellow")) d2 <- pdata(l2)[[1]] expect_that(d2$colour, equals(c("blue", "red", "yellow"))) }) ggplot2/inst/tests/test-facet-locate.r0000644000175100001440000001271012114160774017460 0ustar hornikuserscontext("Facetting (location)") df <- expand.grid(a = 1:2, b = 1:2) df_a <- unique(df["a"]) df_b <- unique(df["b"]) df_c <- unique(data.frame(c = 1)) test_that("two col cases with no missings adds single extra column", { vscyl <- layout_grid(list(mtcars), "cyl", "vs") loc <- locate_grid(mtcars, vscyl, "cyl", "vs") expect_that(nrow(loc), equals(nrow(mtcars))) expect_that(ncol(loc), equals(ncol(mtcars) + 1)) match <- unique(loc[c("cyl", "vs", "PANEL")]) expect_that(nrow(match), equals(5)) }) test_that("margins add extra data", { panel <- layout_grid(list(df), "a", "b", margins = "b") loc <- locate_grid(df, panel, "a", "b", margins = "b") expect_that(nrow(loc), equals(nrow(df) * 2)) }) test_that("grid: missing facet columns are duplicated", { panel <- layout_grid(list(df), "a", "b") loc_a <- locate_grid(df_a, panel, "a", "b") expect_that(nrow(loc_a), equals(4)) expect_that(loc_a$PANEL, equals(factor(1:4))) loc_b <- locate_grid(df_b, panel, "a", "b") expect_that(nrow(loc_b), equals(4)) expect_that(loc_b$PANEL, equals(factor(1:4))) loc_c <- locate_grid(df_c, panel, "a", "b") expect_that(nrow(loc_c), equals(4)) expect_that(loc_c$PANEL, equals(factor(1:4))) }) test_that("wrap: missing facet columns are duplicated", { panel <- layout_wrap(list(df), c("a", "b"), ncol = 1) loc_a <- locate_wrap(df_a, panel, c("a", "b")) expect_that(nrow(loc_a), equals(4)) expect_that(loc_a$PANEL, equals(factor(1:4))) expect_that(loc_a$a, equals(c(1, 1, 2, 2))) loc_b <- locate_wrap(df_b, panel, c("a", "b")) expect_that(nrow(loc_b), equals(4)) expect_that(loc_b$PANEL, equals(factor(1:4))) loc_c <- locate_wrap(df_c, panel, c("a", "b")) expect_that(nrow(loc_c), equals(4)) expect_that(loc_c$PANEL, equals(factor(1:4))) }) # Missing behaviour ---------------------------------------------------------- a3 <- data.frame( # a = c(1:3, NA), Not currently supported b = factor(c(1:3, NA)), c = factor(c(1:3, NA), exclude = NULL) ) test_that("wrap: missing values located correctly", { panel_b <- layout_wrap(list(a3), "b", ncol = 1) loc_b <- locate_wrap(data.frame(b = NA), panel_b, "b") expect_equal(as.character(loc_b$PANEL), "4") panel_c <- layout_wrap(list(a3), "c", ncol = 1) loc_c <- locate_wrap(data.frame(c = NA), panel_c, "c") expect_equal(as.character(loc_c$PANEL), "4") }) test_that("grid: missing values located correctly", { panel_b <- layout_grid(list(a3), "b") loc_b <- locate_grid(data.frame(b = NA), panel_b, "b") expect_equal(as.character(loc_b$PANEL), "4") panel_c <- layout_grid(list(a3), "c") loc_c <- locate_grid(data.frame(c = NA), panel_c, "c") expect_equal(as.character(loc_c$PANEL), "4") }) # Facet order ---------------------------------------------------------------- get_layout <- function(p) ggplot_build(p)$panel$layout # Data with factor f with levels CBA d <- data.frame(x = 1:9, y = 1:9, fx = factor(rep(letters[1:3], each = 3), levels = letters[3:1]), fy = factor(rep(LETTERS[1:3], each = 3), levels = LETTERS[3:1])) # Data with factor f with only level B d2 <- data.frame(x = 1:9, y = 2:10, fx = "a", fy = "B") test_that("grid: facet order follows default data frame order", { # Facets should be in order: # CBA for rows 1:3 # cba for cols 1:3 lay <- get_layout(ggplot(d, aes(x, y)) + facet_grid(fy ~ fx) + geom_point()) expect_equal(as.character(lay$fy), c("C","B","A")[lay$ROW]) expect_equal(as.character(lay$fx), c("c","b","a")[lay$COL]) # When adding d2, facets should still be in order: # CBA for rows 1:3 # cba for cols 1:3 lay <- get_layout(ggplot(d, aes(x, y)) + facet_grid(fy ~ fx) + geom_blank(data = d2) + geom_point()) expect_equal(as.character(lay$fy), c("C","B","A")[lay$ROW]) expect_equal(as.character(lay$fx), c("c","b","a")[lay$COL]) # With no default data: should search each layer in order # BCA for rows 1:3 # acb for cols 1:3 lay <- get_layout(ggplot(mapping = aes(x, y)) + facet_grid(fy ~ fx) + geom_blank(data = d2) + geom_point(data=d)) expect_equal(as.character(lay$fy), c("B","C","A")[lay$ROW]) expect_equal(as.character(lay$fx), c("a","c","b")[lay$COL]) # Same as previous, but different layer order. # CBA for rows 1:3 # cba for cols 1:3 lay <- get_layout(ggplot(mapping = aes(x, y)) + facet_grid(fy ~ fx) + geom_point(data = d) + geom_blank(data = d2)) expect_equal(as.character(lay$fy), c("C","B","A")[lay$ROW]) expect_equal(as.character(lay$fx), c("c","b","a")[lay$COL]) }) test_that("wrap: facet order follows default data frame order", { # Facets should be in order: # cba for panels 1:3 lay <- get_layout(ggplot(d, aes(x, y)) + facet_wrap(~ fx) + geom_point()) expect_equal(as.character(lay$fx), c("c","b","a")[lay$PANEL]) # When adding d2, facets should still be in order: # cba for panels 1:3 lay <- get_layout(ggplot(d, aes(x, y)) + facet_wrap(~ fx) + geom_blank(data = d2) + geom_point()) expect_equal(as.character(lay$fx), c("c","b","a")[lay$PANEL]) # With no default data: should search each layer in order # acb for panels 1:3 lay <- get_layout(ggplot(mapping = aes(x, y)) + facet_wrap(~ fx) + geom_blank(data = d2) + geom_point(data=d)) expect_equal(as.character(lay$fx), c("a","c","b")[lay$PANEL]) # Same as previous, but different layer order. # cba for panels 1:3 lay <- get_layout(ggplot(mapping = aes(x, y)) + facet_wrap(~ fx) + geom_point(data = d) + geom_blank(data = d2)) expect_equal(as.character(lay$fx), c("c","b","a")[lay$PANEL]) }) ggplot2/inst/tests/test-aes-setting.r0000644000175100001440000000116612114160774017357 0ustar hornikuserscontext("Aes - setting values") test_that("Aesthetic parameters must match length of data", { df <- data.frame(x = 1:5, y = 1:5) p <- ggplot(df, aes(x, y)) set_colours <- function(colours) { pdf(file=NULL) print(p + geom_point(colour = colours)) dev.off() } set_colours("red") expect_error(set_colours(rep("red", 2)), "Incompatible lengths") dev.off() # Need to manually close device because of error expect_error(set_colours(rep("red", 3)), "Incompatible lengths") dev.off() expect_error(set_colours(rep("red", 4)), "Incompatible lengths") dev.off() set_colours(rep("red", 5)) })ggplot2/inst/tests/test-coord-polar.r0000644000175100001440000000343012114161113017335 0ustar hornikuserscontext("coord_polar") test_that("Polar distance calculation", { dat <- data.frame( theta = c(0, 2*pi, 2, 6, 6, 1, 1, 0), r = c(0, 0, 0.5, 0.5, 1, 1, 0.75, .5)) scales <- list(x = scale_x_continuous(limits=c(0, 2*pi)), y = scale_y_continuous(limits=c(0, 1))) coord <- coord_train(coord_polar(), scales) dists <- coord_distance(coord_polar(), dat$theta, dat$r, coord) # dists is normalized by dividing by this value, so we'll add it back # The maximum length of a spiral arc, from (t,r) = (0,0) to (2*pi,1) maxlen <- spiral_arc_length(1 / (2 * pi), 0, 2 * pi) # These are the expected lengths. I think they're correct... expect_equal(dists, c(0, -1.225737494, -2, -0.5, -5, -0.25, -0.6736885011) / maxlen) # The picture can be visualized with: # ggplot(dat, aes(x=theta, y=r)) + geom_path() + # geom_point(alpha=0.3) + coord_polar() }) test_that("Polar distance calculation ignores NA's", { # These are r and theta values; we'll swap them around for testing x1 <- c(0, 0.5, 0.5, NA, 1) x2 <- c(0, 1, 2, 0, 1) dists <- dist_polar(x1, x2) expect_equal(is.na(dists), c(FALSE, FALSE, TRUE, TRUE)) dists <- dist_polar(x2, x1) expect_equal(is.na(dists), c(FALSE, FALSE, TRUE, TRUE)) # NA on the end x1 <- c(0, 0.5, 0.5, 1, NA) x2 <- c(0, 1, 2, 0, 1) dists <- dist_polar(x1, x2) expect_equal(is.na(dists), c(FALSE, FALSE, FALSE, TRUE)) dists <- dist_polar(x2, x1) expect_equal(is.na(dists), c(FALSE, FALSE, FALSE, TRUE)) # NAs in each vector - also have NaN x1 <- c(0, 0.5, 0.5, 1, NA) x2 <- c(NaN, 1, 2, NA, 1) dists <- dist_polar(x1, x2) expect_equal(is.na(dists), c(TRUE, FALSE, TRUE, TRUE)) dists <- dist_polar(x2, x1) expect_equal(is.na(dists), c(TRUE, FALSE, TRUE, TRUE)) }) ggplot2/inst/tests/test-scale-manual.r0000644000175100001440000000377112114160774017502 0ustar hornikuserscontext("scale_manual") test_that("names of values used in manual scales", { s <- scale_colour_manual(values = c("8" = "c","4" = "a","6" = "b")) scale_train(s, c("4", "6", "8")) expect_equal(scale_map(s, c("4", "6", "8")), c("a", "b", "c")) }) dat <- data.frame(g = c("B","A","A")) p <- ggplot(dat, aes(g, fill = g)) + geom_bar() col <- c("A" = "red", "B" = "green", "C" = "blue") cols <- function(x) ggplot_build(x)$data[[1]][, "fill"] test_that("named values work regardless of order", { fill_scale <- function(order) scale_fill_manual(values = col[order], na.value = "black") # Order of value vector shouldn't matter expect_equal(cols(p + fill_scale(1:3)), c("red", "green")) expect_equal(cols(p + fill_scale(1:2)), c("red", "green")) expect_equal(cols(p + fill_scale(2:1)), c("red", "green")) expect_equal(cols(p + fill_scale(c(3, 2, 1))), c("red", "green")) expect_equal(cols(p + fill_scale(c(3, 1, 2))), c("red", "green")) expect_equal(cols(p + fill_scale(c(1, 3, 2))), c("red", "green")) }) test_that("missing values replaced with na.value", { df <- data.frame(x = 1, y = 1:3, z = factor(c(1:2, NA), exclude = NULL)) pdata <- ggplot_build(qplot(x, y, data = df, colour = z) + scale_colour_manual(values = c("black", "black"), na.value = "red")) expect_equal(pdata$data[[1]]$colour, c("black", "black", "red")) }) test_that("insufficient values raise an error", { df <- data.frame(x = 1, y = 1:3, z = factor(c(1:2, NA), exclude = NULL)) p <- qplot(x, y, data = df, colour = z) expect_error(ggplot_build(p + scale_colour_manual(values = "black")), "Insufficient values") # Should be sufficient ggplot_build(p + scale_colour_manual(values = c("black", "black"))) }) test_that("values are matched when scale contains more unique valuesthan are in the data", { s <- scale_colour_manual(values = c("8" = "c", "4" = "a", "22" = "d", "6" = "b")) scale_train(s, c("4", "6", "8")) expect_equal(scale_map(s, c("4", "6", "8")), c("a", "b", "c")) }) ggplot2/inst/tests/test-fortify.r0000644000175100001440000000226712114160774016621 0ustar hornikuserscontext("Fortify") library(sp) test_that("Spatial polygons have correct ordering", { make_square <- function(x = 0, y = 0, height = 1, width = 1){ delx <- width/2 dely <- height/2 Polygon(matrix(c(x + delx, x - delx,x - delx,x + delx,x + delx , y - dely,y - dely,y + dely,y + dely,y - dely), ncol = 2)) } make_hole <- function(x = 0, y = 0, height = .5, width = .5){ p <- make_square(x = x, y = y, height = height, width = width) p@hole <- TRUE p } fake_data <- data.frame(ids = 1:5, region = c(1,1,2,3,4)) rownames(fake_data) <- 1:5 polys <- list(Polygons(list(make_square(), make_hole()), 1), Polygons(list(make_square(1,0), make_square(2, 0)), 2), Polygons(list(make_square(1,1)), 3), Polygons(list(make_square(0,1)), 4), Polygons(list(make_square(0,3)), 5)) polys_sp <- SpatialPolygons(polys) fake_sp <- SpatialPolygonsDataFrame(polys_sp, fake_data) # now reorder regions polys2 <- rev(polys) polys2_sp <- SpatialPolygons(polys2) fake_sp2 <- SpatialPolygonsDataFrame(polys2_sp, fake_data) expect_equivalent(fortify(fake_sp), arrange(fortify(fake_sp2), id, order)) }) ggplot2/inst/tests/test-labels.r0000644000175100001440000000070312114160774016372 0ustar hornikuserscontext("Labels") test_that("Setting guide labels", { expect_identical(xlab("my label")$x, "my label") expect_identical(labs(x = "my label")$x, "my label") expect_identical(ylab("my label")$y, "my label") expect_identical(labs(y = "my label")$y, "my label") # Colour expect_identical(labs(colour = "my label")$colour, "my label") # American spelling expect_identical(labs(color = "my label")$colour, "my label") }) ggplot2/inst/tests/test-scales.r0000644000175100001440000001172412114160774016407 0ustar hornikuserscontext("Scales") test_that("buidling a plot does not affect its scales", { dat <- data.frame(x = rnorm(20), y = rnorm(20)) p <- ggplot(dat, aes(x, y)) + geom_point() expect_equal(length(p$scales$scales), 0) ggplot_build(p) expect_equal(length(p$scales$scales), 0) }) test_that("ranges update only for variables listed in aesthetics", { sc <- scale_alpha() scale_train_df(sc, data.frame(alpha = 1:10)) expect_equal(sc$range$range, c(1, 10)) scale_train_df(sc, data.frame(alpha = 50)) expect_equal(sc$range$range, c(1, 50)) scale_train_df(sc, data.frame(beta = 100)) expect_equal(sc$range$range, c(1, 50)) scale_train_df(sc, data.frame()) expect_equal(sc$range$range, c(1, 50)) }) test_that("mapping works", { sc <- scale_alpha(range = c(0, 1), na.value = 0) scale_train_df(sc, data.frame(alpha = 1:10)) expect_equal( scale_map_df(sc, data.frame(alpha = 1:10))[[1]], round_any(seq(0, 1, length = 10), 1 / 500)) expect_equal(scale_map_df(sc, data.frame(alpha = NA))[[1]], 0) expect_equal( scale_map_df(sc, data.frame(alpha = c(-10, 11)))[[1]], c(0, 0)) }) test_that("identity scale preserves input values", { df <- data.frame(x = 1:3, z = letters[1:3]) p1 <- ggplot(df, aes(x, z, colour = z, fill = z, shape = z, size = x, alpha = x)) + geom_point() + scale_colour_identity() + scale_fill_identity() + scale_shape_identity() + scale_size_identity() + scale_alpha_identity() d1 <- pdata(p1)[[1]] expect_that(d1$colour, equals(as.character(df$z))) expect_that(d1$fill, equals(as.character(df$z))) expect_that(d1$shape, equals(as.character(df$z))) expect_that(d1$size, equals(as.numeric(df$z))) expect_that(d1$alpha, equals(as.numeric(df$z))) }) test_that("position scales updated by all position aesthetics", { df <- data.frame(x = 1:3, y = 1:3) aesthetics <- list( aes(xend = x, yend = x), aes(xmin = x, ymin = x), aes(xmax = x, ymax = x), aes(xintercept = x, yintercept = y) ) base <- ggplot(df, aes(x = 1, y = 1)) + geom_point() plots <- lapply(aesthetics, function(x) base %+% x) ranges <- lapply(plots, pranges) lapply(ranges, function(range) { expect_that(range$x[[1]], equals(c(1, 3))) expect_that(range$y[[1]], equals(c(1, 3))) }) }) test_that("position scales generate after stats", { df <- data.frame(x = factor(c(1, 1, 1))) plot <- ggplot(df, aes(x)) + geom_bar() ranges <- pranges(plot) expect_that(ranges$x[[1]], equals(c("1"))) expect_that(ranges$y[[1]], equals(c(0, 3))) }) test_that("oob affects position values", { dat <- data.frame(x=c("a", "b", "c"), y=c(1, 5, 10)) base <- ggplot(dat, aes(x=x, y=y)) + geom_bar(stat="identity") + annotate("point", x = "a", y = c(-Inf, Inf)) y_scale <- function(limits, oob = censor) { scale_y_continuous(limits = limits, oob = oob, expand = c(0, 0)) } base + scale_y_continuous(limits=c(-0,5)) expect_warning(low_censor <- cdata(base + y_scale(c(0, 5), censor)), "Removed 1 rows containing missing values") expect_warning(mid_censor <- cdata(base + y_scale(c(3, 7), censor)), "Removed 2 rows containing missing values") low_squish <- cdata(base + y_scale(c(0, 5), squish)) mid_squish <- cdata(base + y_scale(c(3, 7), squish)) # Points are always at the top and bottom expect_equal(low_censor[[2]]$y, c(0, 1)) expect_equal(mid_censor[[2]]$y, c(0, 1)) expect_equal(low_squish[[2]]$y, c(0, 1)) expect_equal(mid_squish[[2]]$y, c(0, 1)) # Bars depend on limits and oob expect_equal(low_censor[[1]]$y, c(0.2, 1)) expect_equal(mid_censor[[1]]$y, c(0.5)) expect_equal(low_squish[[1]]$y, c(0.2, 1, 1)) expect_equal(mid_squish[[1]]$y, c(0, 0.5, 1)) }) test_that("scales looked for in appropriate place", { xlabel <- function(x) ggplot_build(x)$panel$x_scales[[1]]$name p0 <- qplot(mpg, wt, data = mtcars) + scale_x_continuous("0") expect_equal(xlabel(p0), "0") scale_x_continuous <- function(...) ggplot2::scale_x_continuous("1") p1 <- qplot(mpg, wt, data = mtcars) expect_equal(xlabel(p1), "1") f <- function() { scale_x_continuous <- function(...) ggplot2::scale_x_continuous("2") qplot(mpg, wt, data = mtcars) } p2 <- f() expect_equal(xlabel(p2), "2") rm(scale_x_continuous) p4 <- qplot(mpg, wt, data = mtcars) expect_equal(xlabel(p4), NULL) }) test_that("find_global searches in the right places", { testenv <- new.env(parent = globalenv()) # This should find the scale object in the package environment expect_identical(find_global("scale_colour_hue", testenv), ggplot2::scale_colour_hue) # Set an object with the same name in the environment testenv$scale_colour_hue <- "foo" # Now it should return the new object expect_identical(find_global("scale_colour_hue", testenv), "foo") # If we search in the empty env, we should end up with the object # from the ggplot2 namespace expect_identical(find_global("scale_colour_hue", emptyenv()), ggplot2::scale_colour_hue) }) ggplot2/inst/tests/test-boxplot.r0000644000175100001440000000060012114160774016613 0ustar hornikuserscontext("Boxplot") # thanks wch for providing the test code test_that("geom_boxplot range includes all outliers", { dat <- data.frame(x=1, y=c(-(1:20)^3, (1:20)^3) ) p <- ggplot_build(ggplot(dat, aes(x,y)) + geom_boxplot()) miny <- p$panel$ranges[[1]]$y.range[1] maxy <- p$panel$ranges[[1]]$y.range[2] expect_true(miny <= min(dat$y)) expect_true(maxy >= max(dat$y)) }) ggplot2/inst/tests/test-scales-breaks-labels.r0000644000175100001440000002053712114160774021116 0ustar hornikuserscontext("Scales: breaks and labels") test_that("labels match breaks, even when outside limits", { sc <- scale_y_continuous(breaks=1:4, labels=1:4, limits = c(1, 3)) expect_equal(scale_breaks(sc), c(1:3, NA)) expect_equal(scale_labels(sc), 1:4) expect_equal(scale_breaks_minor(sc), c(1, 1.5, 2, 2.5, 3)) }) test_that("labels must match breaks", { expect_that(scale_x_discrete(breaks = 1:3, labels = 1:2), throws_error("unequal lengths")) expect_that(scale_x_continuous(breaks = 1:3, labels = 1:2), throws_error("unequal lengths")) }) test_that("labels don't have extra spaces", { labels <- c("a", "abc", "abcdef") sc1 <- scale_x_discrete(limits = labels) sc2 <- scale_fill_discrete(limits = labels) expect_equal(scale_labels(sc1), labels) expect_equal(scale_labels(sc2), labels) }) test_that("out-of-range breaks are dropped", { # Limits are explicitly specified, automatic labels sc <- scale_x_continuous(breaks=1:5, limits = c(2, 4)) bi <- scale_break_info(sc) expect_equal(bi$labels, as.character(2:4)) expect_equal(bi$major, c(0, 0.5, 1)) expect_equal(bi$major_source, 2:4) # Limits and labels are explicitly specified sc <- scale_x_continuous(breaks=1:5, labels=letters[1:5], limits = c(2, 4)) bi <- scale_break_info(sc) expect_equal(bi$labels, letters[2:4]) expect_equal(bi$major, c(0, 0.5, 1)) expect_equal(bi$major_source, 2:4) # Limits are specified, and all breaks are out of range sc <- scale_x_continuous(breaks=c(1,5), labels=letters[c(1,5)], limits = c(2, 4)) bi <- scale_break_info(sc) expect_equal(length(bi$labels), 0) expect_equal(length(bi$major), 0) expect_equal(length(bi$major_source), 0) # limits aren't specified, automatic labels # limits are set by the data sc <- scale_x_continuous(breaks=1:5) scale_train_df(sc, data.frame(x=2:4)) bi <- scale_break_info(sc) expect_equal(bi$labels, as.character(2:4)) expect_equal(bi$major_source, 2:4) expect_equal(bi$major, c(0, 0.5, 1)) # Limits and labels are specified sc <- scale_x_continuous(breaks=1:5, labels=letters[1:5]) scale_train_df(sc, data.frame(x=2:4)) bi <- scale_break_info(sc) expect_equal(bi$labels, letters[2:4]) expect_equal(bi$major_source, 2:4) expect_equal(bi$major, c(0, 0.5, 1)) # Limits aren't specified, and all breaks are out of range of data sc <- scale_x_continuous(breaks=c(1,5), labels=letters[c(1,5)]) scale_train_df(sc, data.frame(x=2:4)) bi <- scale_break_info(sc) expect_equal(length(bi$labels), 0) expect_equal(length(bi$major), 0) expect_equal(length(bi$major_source), 0) }) test_that("no minor breaks when only one break", { sc1 <- scale_x_discrete(limits = "a") sc2 <- scale_x_continuous(limits = 1) expect_equal(length(scale_breaks_minor(sc1)), 0) expect_equal(length(scale_breaks_minor(sc2)), 0) }) init_scale <- function(...) { sc <- scale_x_discrete(...) scale_train(sc, factor(1:100)) expect_that(length(scale_limits(sc)), equals(100)) sc } test_that("discrete labels match breaks", { sc <- init_scale(breaks = 0:5 * 10) expect_equal(length(scale_breaks(sc)), 5) expect_equal(length(scale_labels(sc)), 5) expect_equivalent(scale_labels(sc), scale_breaks(sc)) sc <- init_scale(breaks = 0:5 * 10, labels = letters[1:6]) expect_equal(length(scale_breaks(sc)), 5) expect_equal(length(scale_labels(sc)), 5) expect_equal(scale_labels(sc), letters[2:6]) sc <- init_scale(breaks = 0:5 * 10, labels = function(x) paste(x, "-", sep = "")) expect_equal(scale_labels(sc), c("10-", "20-", "30-", "40-", "50-")) pick_5 <- function(x) sample(x, 5) sc <- init_scale(breaks = pick_5) expect_equal(length(scale_breaks(sc)), 5) expect_equal(length(scale_labels(sc)), 5) }) test_that("scale breaks with numeric log transformation", { sc <- scale_x_continuous(limits = c(1, 1e5), trans = log10_trans()) expect_equal(scale_breaks(sc), c(0, 2, 4)) # 1, 100, 10000 expect_equal(scale_breaks_minor(sc), c(0, 1, 2, 3, 4, 5)) }) test_that("continuous scales with no data have no breaks or labels", { sc <- scale_x_continuous() expect_equal(scale_breaks(sc), numeric()) expect_equal(scale_labels(sc), character()) expect_equal(scale_limits(sc), c(0, 1)) }) test_that("discrete scales with no data have no breaks or labels", { sc <- scale_x_discrete() expect_equal(scale_breaks(sc), numeric()) expect_equal(scale_labels(sc), character()) expect_equal(scale_limits(sc), c(0, 1)) }) test_that("suppressing breaks, minor_breask, and labels", { expect_equal(scale_breaks(scale_x_continuous(breaks = NULL, limits = c(1, 3))), NULL) expect_equal(scale_breaks(scale_x_discrete(breaks = NULL, limits = c(1, 3))), NULL) expect_equal(scale_breaks_minor(scale_x_continuous(minor_breaks = NULL, limits = c(1, 3))), NULL) expect_equal(scale_labels(scale_x_continuous(labels = NULL, limits = c(1, 3))), NULL) expect_equal(scale_labels(scale_x_discrete(labels = NULL, limits = c(1, 3))), NULL) # date, datetime lims <- as.Date(c("2000/1/1", "2000/2/1")) expect_equal(scale_breaks(scale_x_date(breaks = NULL, limits = lims)), NULL) # NA is deprecated, should throw warning expect_warning(s <- scale_breaks(scale_x_date(breaks = NA, limits = lims))) expect_equal(s, NULL) expect_equal(scale_labels(scale_x_date(labels = NULL, limits = lims)), NULL) expect_warning(s <- scale_labels(scale_x_date(labels = NA, limits = lims))) expect_equal(s, NULL) expect_equal(scale_breaks_minor(scale_x_date(minor_breaks= NULL, limits = lims)), NULL) expect_warning(s <-scale_breaks_minor(scale_x_date(minor_breaks= NA, limits = lims))) expect_equal(s, NULL) # date, datetime lims <- as.POSIXct(c("2000/1/1 0:0:0", "2010/1/1 0:0:0")) expect_equal(scale_breaks(scale_x_datetime(breaks = NULL, limits = lims)), NULL) expect_warning(s <- scale_breaks(scale_x_datetime(breaks = NA, limits = lims))) expect_equal(s, NULL) expect_equal(scale_labels(scale_x_datetime(labels = NULL, limits = lims)), NULL) expect_warning(s <- scale_labels(scale_x_datetime(labels = NA, limits = lims))) expect_equal(s, NULL) expect_equal(scale_breaks_minor(scale_x_datetime(minor_breaks= NULL, limits = lims)), NULL) expect_warning(s <- scale_breaks_minor(scale_x_datetime(minor_breaks= NA, limits = lims))) expect_equal(s, NULL) }) test_that("scale_breaks with explicit NA options (deprecated)", { # NA is deprecated, should throw warning # X sxc <- scale_x_continuous(breaks=NA) scale_train(sxc, 1:3) expect_warning(s <- scale_breaks(sxc)) expect_identical(s, NULL) expect_warning(s <- scale_breaks_minor(sxc)) expect_identical(s, NULL) # Y syc <- scale_y_continuous(breaks=NA) scale_train(syc, 1:3) expect_warning(s <- scale_breaks(syc)) expect_identical(s, NULL) expect_warning(s <- scale_breaks_minor(syc)) expect_identical(s, NULL) # Alpha sac <- scale_alpha_continuous(breaks=NA) scale_train(sac,1:3) expect_warning(s <- scale_breaks(sac)) expect_identical(s, NULL) # Size ssc <- scale_size_continuous(breaks=NA) scale_train(ssc,1:3) expect_warning(s <- scale_breaks(ssc)) expect_identical(s, NULL) # Fill sfc <- scale_fill_continuous(breaks=NA) scale_train(sfc,1:3) expect_warning(s <- scale_breaks(sfc)) expect_identical(s, NULL) # Colour scc <- scale_colour_continuous(breaks=NA) scale_train(scc,1:3) expect_warning(s <- scale_breaks(scc)) expect_identical(s, NULL) }) test_that("breaks can be specified by names of labels", { labels <- setNames(LETTERS[1:4], letters[1:4]) s <- scale_x_discrete(limits = letters[1:4], labels = labels) expect_equal(as.vector(scale_breaks(s)), letters[1:4]) expect_equal(as.vector(scale_labels(s)), LETTERS[1:4]) s <- scale_x_discrete(limits = letters[1:4], labels = rev(labels)) expect_equal(as.vector(scale_breaks(s)), letters[1:4]) expect_equal(as.vector(scale_labels(s)), LETTERS[1:4]) s <- scale_x_discrete(limits = letters[1:4], labels = labels[1:2]) expect_equal(as.vector(scale_breaks(s)), letters[1:4]) expect_equal(as.vector(scale_labels(s)), c("A", "B", "c", "d")) s <- scale_x_discrete(limits = letters[1:4], labels = labels[3:4]) expect_equal(as.vector(scale_breaks(s)), letters[1:4]) expect_equal(as.vector(scale_labels(s)), c("a", "b", "C", "D")) s <- scale_x_discrete(limits = letters[1:3], labels = labels) expect_equal(as.vector(scale_breaks(s)), letters[1:3]) expect_equal(as.vector(scale_labels(s)), LETTERS[1:3]) }) ggplot2/inst/tests/test-aes.r0000644000175100001440000000534712114160774015711 0ustar hornikuserscontext("Creating aesthetic mappings") test_that("function aes", { expect_equal(aes(x = mpg, y = wt), structure(list(x = bquote(mpg), y = bquote(wt)), class = "uneval")) expect_equal(aes(x = mpg ^ 2, y = wt / cyl), structure(list(x = bquote(mpg ^ 2), y = bquote(wt / cyl)), class = "uneval")) }) test_that("function aes_string", { expect_equal(aes_string(x = "mpg", y = "wt"), structure(list(x = bquote(mpg), y = bquote(wt)), class = "uneval")) expect_equal(aes_string(x = "mpg ^ 2", y = "wt / cyl"), structure(list(x = bquote(mpg ^ 2), y = bquote(wt / cyl)), class = "uneval")) }) test_that("function aes_all", { expect_equal(aes_all(names(mtcars)), structure( list( mpg = bquote(mpg), cyl = bquote(cyl), disp = bquote(disp), hp = bquote(hp), drat = bquote(drat), wt = bquote(wt), qsec = bquote(qsec), vs = bquote(vs), am = bquote(am), gear = bquote(gear), carb = bquote(carb)), class = "uneval")) expect_equal(aes_all(c("x", "y", "col", "pch")), structure(list(x = bquote(x), y = bquote(y), colour = bquote(col), shape = bquote(pch)), class = "uneval")) }) test_that("function aes_auto", { df <- data.frame(x = 1, y = 1, colour = 1, label = 1, pch = 1) expect_equal(aes_auto(df), structure(list(colour = bquote(colour), label = bquote(label), shape = bquote(pch), x = bquote(x), y = bquote(y)), class = "uneval")) expect_equal(aes_auto(names(df)), structure(list(colour = bquote(colour), label = bquote(label), shape = bquote(pch), x = bquote(x), y = bquote(y)), class = "uneval")) df <- data.frame(xp = 1:3, y = 1:3, colour = 1:3, txt = letters[1:3], foo = 1:3) expect_equal(aes_auto(df, x = xp, label = txt), structure(list(colour = bquote(colour), y = bquote(y), x = bquote(xp), label = bquote(txt)), class = "uneval")) expect_equal(aes_auto(names(df), x = xp, label = txt), structure(list(colour = bquote(colour), y = bquote(y), x = bquote(xp), label = bquote(txt)), class = "uneval")) expect_equal(aes_auto(x = xp, label = txt, data = df), structure(list(colour = bquote(colour), y = bquote(y), x = bquote(xp), label = bquote(txt)), class = "uneval")) df <- data.frame(foo = 1:3) expect_equal(aes_auto(df, x = xp, y = yp), structure(list(x = bquote(xp), y = bquote(yp)), class = "uneval")) expect_equal(aes_auto(df), structure(setNames(list(), character(0)), class = "uneval")) }) ggplot2/inst/tests/test-qplot.r0000644000175100001440000000115412114160774016270 0ustar hornikuserscontext("qplot") test_that("qplot works with variables in data frame and parent env", { df <- data.frame(x = 1:10, a = 1:10) y <- 1:10 b <- 1:10 expect_is(qplot(x, y, data = df), "ggplot") expect_is(qplot(x, y, data = df, colour = a), "ggplot") expect_is(qplot(x, y, data = df, colour = b), "ggplot") bin <- 1 expect_is(qplot(x, data = df, binwidth = bin), "ggplot") }) test_that("qplot works in non-standard environments", { env <- new.env(parent = globalenv()) expr <- quote({ `-1-` <- 10 x <- 1:10 qplot(x, breaks = 0:`-1-`) }) expect_is(eval(expr, env), "ggplot") }) ggplot2/inst/tests/test-facet-.r0000644000175100001440000000333112114160774016267 0ustar hornikuserscontext("Facetting") df <- data.frame(x = 1:3, y = 3:1, z = letters[1:3]) test_that("facets split up the data", { l1 <- ggplot(df, aes(x, y)) + geom_point() + facet_wrap(~ z) d1 <- pdata(l1)[[1]] expect_that(d1$PANEL, equals(factor(1:3))) l2 <- ggplot(df, aes(x, y)) + geom_point() + facet_grid(. ~ z) l3 <- ggplot(df, aes(x, y)) + geom_point() + facet_grid(z ~ .) d2 <- pdata(l2)[[1]] d3 <- pdata(l3)[[1]] expect_that(d2, equals(d3)) expect_that(sort(names(d2)), equals(sort(c("x", "y", "group", "PANEL")))) expect_that(d2$PANEL, equals(factor(1:3))) }) test_that("facets with free scales scale independently", { l1 <- ggplot(df, aes(x, y)) + geom_point() + facet_wrap(~ z, scales = "free") d1 <- cdata(l1)[[1]] expect_that(length(unique(d1$x)), equals(1)) expect_that(length(unique(d1$y)), equals(1)) l2 <- ggplot(df, aes(x, y)) + geom_point() + facet_grid(. ~ z, scales = "free") d2 <- cdata(l2)[[1]] expect_that(length(unique(d2$x)), equals(1)) expect_that(length(unique(d2$y)), equals(3)) l3 <- ggplot(df, aes(x, y)) + geom_point() + facet_grid(z ~ ., scales = "free") d3 <- cdata(l3)[[1]] expect_that(length(unique(d3$x)), equals(3)) expect_that(length(unique(d3$y)), equals(1)) }) test_that("shrink parameter affects scaling", { l1 <- ggplot(df, aes(1, y)) + geom_point() r1 <- pranges(l1) expect_that(r1$x[[1]], equals(c(1, 1))) expect_that(r1$y[[1]], equals(c(1, 3))) l2 <- ggplot(df, aes(1, y)) + stat_summary(fun.y = "mean") r2 <- pranges(l2) expect_that(r2$y[[1]], equals(c(2, 2))) l3 <- ggplot(df, aes(1, y)) + stat_summary(fun.y = "mean") + facet_null(shrink = FALSE) r3 <- pranges(l3) expect_that(r3$y[[1]], equals(c(1, 3))) }) ggplot2/inst/tests/test-facet-layout.r0000644000175100001440000001067512114160774017536 0ustar hornikuserscontext("Facetting (layout)") a <- data.frame(a = c(1, 1, 2, 2), b = c(1, 2, 1, 1)) b <- data.frame(a = 3) c <- data.frame(b = 3) empty <- data.frame() test_that("all: no rows and cols gives null layout", { expect_that(layout_grid(list(a)), equals(layout_null())) expect_that(layout_wrap(list(a)), equals(layout_null())) }) test_that("grid: single row and single col equivalent", { row <- layout_grid(list(a), row = "a") col <- layout_grid(list(a), col = "a") expect_that(row$ROW, equals(1:2)) expect_that(row$ROW, equals(col$COL)) expect_that(row[c("PANEL", "a")], equals(col[c("PANEL", "a")])) row <- layout_grid(list(a, b), row = "a") col <- layout_grid(list(a, b), col = "a") expect_that(row$ROW, equals(1:3)) expect_that(row$ROW, equals(col$COL)) expect_that(row[c("PANEL", "a")], equals(col[c("PANEL", "a")])) }) test_that("grid: includes all combinations", { d <- data.frame(a = c(1, 2), b = c(2, 1)) all <- layout_grid(list(d), row = "a", col = "b") expect_that(nrow(all), equals(4)) }) test_that("wrap and grid equivalent for 1d data", { rowg <- layout_grid(list(a), row = "a") roww <- layout_wrap(list(a), "a", ncol = 1) expect_that(roww, equals(rowg)) colg <- layout_grid(list(a), col = "a") colw <- layout_wrap(list(a), "a", nrow = 1) expect_that(colw, equals(colg)) }) test_that("grid: crossed rows/cols create no more combinations than necessary", { one <- layout_grid(list(a), "a", "b") expect_that(nrow(one), equals(4)) one_a <- layout_grid(list(a, empty), "a", "b") expect_that(nrow(one_a), equals(4)) two <- layout_grid(list(a, b), "a", "b") expect_that(nrow(two), equals(4 + 2)) three <- layout_grid(list(a, b, c), "a", "b") expect_that(nrow(three), equals(9)) four <- layout_grid(list(b, c), "a", "b") expect_that(nrow(four), equals(1)) }) test_that("grid: nested rows/cols create no more combinations than necessary", { one <- layout_grid(list(mpg), c("drv", "cyl")) expect_that(one$PANEL, equals(factor(1:9))) expect_that(one$ROW, equals(1:9)) }) test_that("grid: margins add correct combinations", { one <- layout_grid(list(a), "a", "b", margins = TRUE) expect_that(nrow(one), equals(4 + 2 + 2 + 1)) }) test_that("wrap: as.table reverses rows", { one <- layout_wrap(list(a), "a", ncol = 1, as.table = FALSE) expect_that(one$ROW, equals(c(2, 1))) two <- layout_wrap(list(a), "a", nrow = 1, as.table = FALSE) expect_that(two$ROW, equals(c(1, 1))) }) test_that("grid: as.table reverses rows", { one <- layout_grid(list(a), "a", as.table = FALSE) expect_that(as.character(one$a), equals(c("2", "1"))) two <- layout_grid(list(a), "a", as.table = TRUE) expect_that(as.character(two$a), equals(c("1", "2"))) }) # Drop behaviour ------------------------------------------------------------- a2 <- data.frame( a = factor(1:3, levels = 1:4), b = factor(1:3, levels = 4:1) ) test_that("layout_wrap: drop = FALSE preserves unused levels", { wrap_a <- layout_wrap(list(a2), "a", drop = FALSE) expect_equal(nrow(wrap_a), 4) expect_equal(as.character(wrap_a$a), as.character(1:4)) wrap_b <- layout_wrap(list(a2), "b", drop = FALSE) expect_equal(nrow(wrap_b), 4) expect_equal(as.character(wrap_b$b), as.character(4:1)) }) test_that("layout_grid: drop = FALSE preserves unused levels", { grid_a <- layout_grid(list(a2), "a", drop = FALSE) expect_equal(nrow(grid_a), 4) expect_equal(as.character(grid_a$a), as.character(1:4)) grid_b <- layout_grid(list(a2), "b", drop = FALSE) expect_equal(nrow(grid_b), 4) expect_equal(as.character(grid_b$b), as.character(4:1)) grid_ab <- layout_grid(list(a2), "a", "b", drop = FALSE) expect_equal(nrow(grid_ab), 16) expect_equal(as.character(grid_ab$a), as.character(rep(1:4, each = 4))) expect_equal(as.character(grid_ab$b), as.character(rep(4:1, 4))) }) # Missing behaviour ---------------------------------------------------------- a3 <- data.frame( a = c(1:3, NA), b = factor(c(1:3, NA)), c = factor(c(1:3, NA), exclude = NULL) ) test_that("missing values get a panel", { wrap_a <- layout_wrap(list(a3), "a") wrap_b <- layout_wrap(list(a3), "b") wrap_c <- layout_wrap(list(a3), "c") grid_a <- layout_grid(list(a3), "a") grid_b <- layout_grid(list(a3), "b") grid_c <- layout_grid(list(a3), "c") expect_equal(nrow(wrap_a), 4) expect_equal(nrow(wrap_b), 4) expect_equal(nrow(wrap_c), 4) expect_equal(nrow(grid_a), 4) expect_equal(nrow(grid_b), 4) expect_equal(nrow(grid_c), 4) })ggplot2/inst/tests/test-stats.r0000644000175100001440000001103412114160774016265 0ustar hornikuserscontext("Stats") test_that("plot succeeds even if some computation fails", { p1 <- ggplot(mtcars, aes(disp, mpg)) + geom_point() + facet_grid(gear ~ carb) p2 <- p1 + geom_smooth() b1 <- ggplot_build(p1) expect_equal(length(b1$data), 1) expect_warning(b2 <- ggplot_build(p2)) expect_equal(length(b2$data), 2) }) # helper function for stat calc tests. test_stat <- function(stat) { stat$data <- transform(stat$data, PANEL = 1) dat <- stat$compute_aesthetics(stat$data, ggplot()) dat <- add_group(dat) stat$calc_statistic(dat, NULL) } context("stat-bin") test_that("stat_sum", { dat <- data.frame(x = c("a", "b", "c"), y = c(1, 5, 10)) # Should get a message when mapping/setting y and also using stat_bin expect_message(p <- ggplot_build(ggplot(dat, aes(x=x, y=y)) + geom_bar()), "Mapping a variable to y and also using stat=\"bin\"") expect_message(p <- ggplot_build(ggplot(dat, aes(x=x, y=y)) + geom_bar(stat="bin")), "Mapping a variable to y and also using stat=\"bin\"") expect_message(p <- ggplot_build(ggplot(dat, aes(x=x)) + geom_bar(y=5)), "Mapping a variable to y and also using stat=\"bin\"") # This gives an error and a message (it would probably be OK if just one # of these happened, but this test looks for both) dat2 <- data.frame(x = c("a", "b", "c", "a", "b", "c"), y = c(1, 5, 10, 2, 3, 4)) expect_message(expect_error( p <- ggplot_build(ggplot(dat2, aes(x=x, y=y)) + geom_bar()))) }) context("stat-sum") test_that("stat_sum", { d <- diamonds[1:1000, ] ret <- test_stat(stat_sum(aes(x = cut, y = clarity), data = d)) expect_equal(dim(ret), c(38, 5)) expect_equal(sum(ret$n), nrow(d)) expect_true(all(ret$prop == 1)) ret <- test_stat(stat_sum(aes(x = cut, y = clarity, group = 1), data = d)) expect_equal(dim(ret), c(38, 5)) expect_equal(sum(ret$n), nrow(d)) expect_equal(sum(ret$prop), 1) ret <- test_stat(stat_sum(aes(x = cut, y = clarity, group = cut), data = d)) expect_equal(dim(ret), c(38, 5)) expect_equal(sum(ret$n), nrow(d)) expect_true(all(ddply(ret, .(x), summarise, prop = sum(prop))$prop == 1)) ret <- test_stat(stat_sum(aes(x = cut, y = clarity, group = cut, colour = cut), data = d)) expect_equal(dim(ret), c(38, 6)) expect_equal(ret$x, ret$colour) expect_equal(sum(ret$n), nrow(d)) expect_true(all(ddply(ret, .(x), summarise, prop = sum(prop))$prop == 1)) ret <- test_stat(stat_sum(aes(x = cut, y = clarity, group = clarity), data = d)) expect_equal(dim(ret), c(38, 5)) expect_equal(sum(ret$n), nrow(d)) expect_true(all(ddply(ret, .(y), summarise, prop = sum(prop))$prop == 1)) ret <- test_stat(stat_sum(aes(x = cut, y = clarity, group = clarity, colour = cut), data = d)) expect_equal(dim(ret), c(38, 6)) expect_equal(ret$x, ret$colour) expect_equal(sum(ret$n), nrow(d)) expect_true(all(ddply(ret, .(y), summarise, prop = sum(prop))$prop == 1)) ret <- test_stat(stat_sum(aes(x = cut, y = clarity, group = 1, weight = price), data = d)) expect_equal(dim(ret), c(38, 5)) expect_equal(sum(ret$n), sum(d$price)) expect_equal(sum(ret$prop), 1) }) # helper function for stat calc tests. test_stat_scale <- function(stat, scale) { stat$data <- transform(stat$data, PANEL = 1) dat <- stat$compute_aesthetics(stat$data, ggplot()) dat <- add_group(dat) stat$calc_statistic(dat, scale) } context("stat-bin2d") test_that("stat-bin2d", { d <- diamonds[1:1000,] full_scales <- list(x = scale_x_continuous(limits = range(d$carat, na.rm=TRUE)), y = scale_y_continuous(limits = range(d$depth, na.rm=TRUE))) ret <- test_stat_scale(stat_bin2d(aes(x = carat, y = depth), data=d), full_scales) expect_equal(dim(ret), c(191,12)) d$carat[1] <- NA d$depth[2] <- NA full_scales <- list(x = scale_x_continuous(limits = range(d$carat, na.rm=TRUE)), y = scale_y_continuous(limits = range(d$depth, na.rm=TRUE))) ret <- test_stat_scale(stat_bin2d(aes(x = carat, y = depth), data=d), full_scales) expect_equal(dim(ret), c(191,12)) }) context("stat-density2d") test_that("stat-density2d", { full_scales <- list(x = scale_x_continuous(limits=c(1,6)), y = scale_y_continuous(limits=c(5,40))) ret <- test_stat_scale(stat_density2d(aes(x = wt, y = mpg), data = mtcars), full_scales) # Check that the contour data goes beyond data range. # The specific values below are sort of arbitrary; but they go beyond the range # of the data expect_true(min(ret$x) < 1.2) expect_true(max(ret$x) > 5.8) expect_true(min(ret$y) < 8) expect_true(max(ret$y) > 35) }) ggplot2/inst/tests/test-theme.r0000644000175100001440000001461712114160774016243 0ustar hornikuserscontext("Themes") test_that("Modifying theme element properties with + operator", { # Changing a "leaf node" works t <- theme_grey() + theme(axis.title.x = element_text(colour='red')) expect_identical(t$axis.title.x, element_text(colour='red')) # Make sure the theme class didn't change or get dropped expect_true(is.theme(t)) # Make sure the element class didn't change or get dropped expect_true(inherits(t$axis.title.x, "element")) expect_true(inherits(t$axis.title.x, "element_text")) # Modifying an intermediate node works t <- theme_grey() + theme(axis.title = element_text(colour='red')) expect_identical(t$axis.title, element_text(colour='red')) # Modifying a root node changes only the specified properties t <- theme_grey() + theme(text = element_text(colour='red')) expect_identical(t$text$colour, 'red') expect_identical(t$text$family, theme_grey()$text$family) expect_identical(t$text$face, theme_grey()$text$face) expect_identical(t$text$size, theme_grey()$text$size) # Descendent is unchanged expect_identical(t$axis.title.x, theme_grey()$axis.title.x) # Adding element_blank replaces element t <- theme_grey() + theme(axis.text.y = element_blank()) expect_identical(t$axis.text.y, element_blank()) # Adding a non-blank element to an element_blank() replaces it t <- t + theme(axis.text.y = element_text(colour='red')) expect_identical(t$axis.text.y, element_text(colour='red')) # Adding empty theme() has no effect t <- theme_grey() + theme() expect_identical(t, theme_grey()) expect_error(theme_grey() + "asdf") }) test_that("Adding theme object to ggplot object with + operator", { p <- qplot(1:3, 1:3) p <- p + theme(axis.title = element_text(size = 20)) expect_true(p$theme$axis.title$size == 20) # Should update specified properties, but not reset other properties p <- p + theme(text = element_text(colour='red')) expect_true(p$theme$text$colour == 'red') tt <- theme_grey()$text tt$colour <- 'red' expect_identical(p$theme$text, tt) }) test_that("Replacing theme elements with %+replace% operator", { # Changing a "leaf node" works t <- theme_grey() %+replace% theme(axis.title.x = element_text(colour='red')) expect_identical(t$axis.title.x, element_text(colour='red')) # Make sure the class didn't change or get dropped expect_true(is.theme(t)) # Changing an intermediate node works t <- theme_grey() %+replace% theme(axis.title = element_text(colour='red')) expect_identical(t$axis.title, element_text(colour='red')) # Descendent is unchanged expect_identical(t$axis.title.x, theme_grey()$axis.title.x) # Adding empty theme() has no effect t <- theme_grey() %+replace% theme() expect_identical(t, theme_grey()) expect_error(theme_grey() + "asdf") }) test_that("Calculating theme element inheritance", { t <- theme_grey() + theme(axis.title = element_text(colour='red')) # Check that properties are passed along from axis.title to axis.title.x e <- calc_element('axis.title.x', t) expect_identical(e$colour, 'red') expect_false(is.null(e$family)) expect_false(is.null(e$face)) expect_false(is.null(e$size)) # Check that rel() works for relative sizing, and is applied at each level t <- theme_grey(base_size=12) + theme(axis.title = element_text(size=rel(0.5))) + theme(axis.title.x = element_text(size=rel(0.5))) e <- calc_element('axis.title', t) expect_identical(e$size, 6) ex <- calc_element('axis.title.x', t) expect_identical(ex$size, 3) # Check that a theme_blank in a parent node gets passed along to children t <- theme_grey() + theme(text = element_blank()) expect_identical(calc_element('axis.title.x', t), element_blank()) }) test_that("Complete and non-complete themes interact correctly with each other", { # The 'complete' attribute of t1 + t2 is the OR of their 'complete' attributes. # But for _element properties_, the one on the right modifies the one on the left. t <- theme_bw() + theme(text = element_text(colour='red')) expect_true(attr(t, "complete")) expect_equal(t$text$colour, 'red') # A complete theme object (like theme_bw) always trumps a non-complete theme object t <- theme(text = element_text(colour='red')) + theme_bw() expect_true(attr(t, "complete")) expect_equal(t$text$colour, theme_bw()$text$colour) # Adding two non-complete themes: the one on the right modifies the one on the left. t <- theme(text = element_text(colour='blue')) + theme(text = element_text(colour='red')) expect_false(attr(t, "complete")) expect_equal(t$text$colour, 'red') }) test_that("Complete and non-complete themes interact correctly with ggplot objects", { # Check that adding two theme successive theme objects to a ggplot object # works like adding the two theme object to each other p <- ggplot_build(qplot(1:3, 1:3) + theme_bw() + theme(text=element_text(colour='red'))) expect_true(attr(p$plot$theme, "complete")) # Compare the theme objects, after sorting the items, because item order can differ pt <- p$plot$theme tt <- theme_bw() + theme(text=element_text(colour='red')) pt <- pt[order(names(pt))] tt <- tt[order(names(tt))] expect_identical(pt, tt) p <- ggplot_build(qplot(1:3, 1:3) + theme(text=element_text(colour='red')) + theme_bw()) expect_true(attr(p$plot$theme, "complete")) # Compare the theme objects, after sorting the items, because item order can differ pt <- p$plot$theme tt <- theme(text=element_text(colour='red')) + theme_bw() pt <- pt[order(names(pt))] tt <- tt[order(names(tt))] expect_identical(pt, tt) p <- ggplot_build(qplot(1:3, 1:3) + theme(text=element_text(colour='red', face='italic'))) expect_false(attr(p$plot$theme, "complete")) expect_equal(p$plot$theme$text$colour, "red") expect_equal(p$plot$theme$text$face, "italic") p <- ggplot_build(qplot(1:3, 1:3) + theme(text=element_text(colour='red')) + theme(text=element_text(face='italic'))) expect_false(attr(p$plot$theme, "complete")) expect_equal(p$plot$theme$text$colour, "red") expect_equal(p$plot$theme$text$face, "italic") # Only gets red property; because of the way lists are processed in R, the # the second item doesn't get used properly. But I think that's OK. p <- ggplot_build(qplot(1:3, 1:3) + theme(text=element_text(colour='red'), text=element_text(face='italic'))) expect_false(attr(p$plot$theme, "complete")) expect_equal(p$plot$theme$text$colour, "red") expect_equal(p$plot$theme$text$face, "plain") }) ggplot2/inst/tests/test-aes-grouping.r0000644000175100001440000000416712114160774017540 0ustar hornikuserscontext("Aesthetics (grouping)") df <- data.frame( x = 1:4, a = c("a", "a", "b", "b"), b = c("a", "b", "a", "b") ) library(plyr) group <- function(x) pdata(x)[[1]]$group groups <- function(x) length(unique(group(x))) test_that("one group per combination of discrete vars", { plot <- ggplot(df, aes(x, x)) + geom_point() expect_that(group(plot), equals(c(1, 1, 1, 1))) plot <- ggplot(df, aes(x, a)) + geom_point() expect_that(group(plot), equals(c(1, 1, 2, 2))) plot <- ggplot(df, aes(x, b)) + geom_point() expect_that(group(plot), equals(c(1, 2, 1, 2))) plot <- ggplot(df, aes(a, b)) + geom_point() expect_that(groups(plot), equals(4)) }) test_that("label is not used as a grouping var", { plot <- ggplot(df, aes(x, x, label = a)) + geom_point() expect_that(group(plot), equals(c(1, 1, 1, 1))) plot <- ggplot(df, aes(x, x, colour = a, label = b)) + geom_point() expect_that(group(plot), equals(c(1, 1, 2, 2))) }) test_that("group aesthetic overrides defaults", { plot <- ggplot(df, aes(x, x, group = x)) + geom_point() expect_that(groups(plot), equals(4)) plot <- ggplot(df, aes(a, b, group = 1)) + geom_point() expect_that(groups(plot), equals(1)) }) # test_that("group param overrides defaults", { # plot <- ggplot(df, aes(a, b)) + geom_point(group = 1) # expect_that(groups(plot), equals(1)) # }) test_that("order affects plotting order of points", { base <- ggplot(df, aes(a, x)) + geom_point() ord1 <- ggplot_build(base)$data[[1]] ord2 <- ggplot_build(base + aes(order = x))$data[[1]] rev1 <- ggplot_build(base + aes(order = -x))$data[[1]] rev2 <- ggplot_build(base + aes(order = desc(x)))$data[[1]] expect_equal(ord1$y, 1:4) expect_equal(ord2$y, 1:4) expect_equal(rev1$y, 4:1) expect_equal(rev2$y, 4:1) }) test_that("order affects plotting order of bars", { base <- ggplot(df, aes(a, fill = b)) + geom_bar() ord1 <- ggplot_build(base)$data[[1]] ord2 <- ggplot_build(base + aes(order = a))$data[[1]] rev1 <- ggplot_build(base + aes(order = desc(b)))$data[[1]] expect_equal(ord1$group, 1:4) expect_equal(ord2$group, 1:4) expect_equal(rev1$group, c(2, 1, 4, 3)) })ggplot2/inst/tests/test-coord-train.r0000644000175100001440000000250212114160774017350 0ustar hornikuserscontext("coord_train") test_that("NA's don't appear in breaks", { # Returns true if any major/minor breaks have an NA any_NA_major_minor <- function(trained) { ns <- names(trained)[grepl("(\\.major)|(\\.minor)$", names(trained))] for (n in ns) { if (!is.null(trained[n]) && any(is.na(trained[n]))) return(TRUE) } return(FALSE) } scales <- list(x = scale_x_continuous(limits=c(1, 12)), y = scale_y_continuous(limits=c(1, 12))) # First have to test that scale_breaks_positions will return a vector with NA # This is a test to make sure the later tests will be useful! # It's possible that changes to the the way that breaks are calculated will # make it so that scale_break_positions will no longer give NA for range 1, 12 expect_true(any(is.na(scale_break_positions(scales$x)))) expect_true(any(is.na(scale_break_positions(scales$y)))) # Check the various types of coords to make sure they don't have NA breaks expect_false(any_NA_major_minor(coord_train(coord_polar(), scales))) expect_false(any_NA_major_minor(coord_train(coord_cartesian(), scales))) expect_false(any_NA_major_minor(coord_train(coord_trans(), scales))) expect_false(any_NA_major_minor(coord_train(coord_fixed(), scales))) expect_false(any_NA_major_minor(coord_train(coord_map(), scales))) }) ggplot2/R/0000755000175100001440000000000012114161113012036 5ustar hornikusersggplot2/R/aes-linetype-size-shape.r0000644000175100001440000000507212114160774016706 0ustar hornikusers#' Differentiation related aesthetics: linetype, size, shape #' #' This page demonstrates the usage of a sub-group #' of aesthetics; linetype, size and shape. #' #' @name aes_linetype_size_shape #' @aliases linetype size shape #' @examples #' #' # Line types should be specified with either an integer, a name, or with a string of #' # an even number (up to eight) of hexidecimal digits which give the lengths in #' # consecutive positions in the string. #' # 0 = blank, 1 = solid, 2 = dashed, 3 = dotted, 4 = dotdash, 5 = longdash, 6 = twodash #' #' # Data #' df <- data.frame(x = 1:10 , y = 1:10) #' f <- ggplot(df, aes(x = x, y = y)) #' f + geom_line(linetype = 2) #' f + geom_line(linetype = "dotdash") # #' # An example with hex strings, the string "33" specifies three units on followed #' # by three off and "3313" specifies three units on followed by three off followed #' # by one on and finally three off. #' f + geom_line(linetype = "3313") #' #' # Mapping line type from a variable #' library(plyr) #' library(reshape2) #' rescale01 <- function(x) (x - min(x)) / diff(range(x)) #' ec_scaled <- data.frame( #' date = economics$date, #' colwise(rescale01)(economics[, -(1:2)])) #' ecm <- melt(ec_scaled, id = "date") #' qplot(date, value, data = ecm, geom = "line", linetype = variable) #' #' # Size examples #' # Should be specified with a numerical value (in millimetres), #' # or from a variable source #' p <- ggplot(mtcars, aes(wt, mpg)) #' p + geom_point(size = 4) #' p + geom_point(aes(size = qsec)) #' p + geom_point(size = 2.5) + geom_hline(yintercept = 25, size = 3.5) #' #' # Shape examples #' # Shape takes four types of values: an integer in [0, 25], #' # a single character-- which uses that character as the plotting symbol, #' # a . to draw the smallest rectangle that is visible (i.e., about one pixel) #' # an NA to draw nothing #' p + geom_point() #' p + geom_point(shape = 5) #' p + geom_point(shape = "k", size = 3) #' p + geom_point(shape = ".") #' p + geom_point(shape = NA) #' #' # Shape can also be mapped from a variable #' p + geom_point(aes(shape = factor(cyl))) #' #' # A look at all 25 symbols #' df2 <- data.frame(x = 1:5 , y = 1:25, z = 1:25) #' s <- ggplot(df2, aes(x = x, y = y)) #' s + geom_point(aes(shape = z), size = 4) + scale_shape_identity() #' # While all symbols have a foreground colour, symbols 19-25 also take a #' # background colour (fill) #' s + geom_point(aes(shape = z), size = 4, colour = "Red") + #' scale_shape_identity() #' s + geom_point(aes(shape = z), size = 4, colour = "Red", fill = "Black") + #' scale_shape_identity() NULL ggplot2/R/scales-.r0000644000175100001440000001131112114161113013545 0ustar hornikusers# Scales object encapsultes multiple scales. # All input and output done with data.frames to facilitate # multiple input and output variables Scales <- setRefClass("Scales", fields = "scales", methods = list( find = function(aesthetic) { vapply(scales, function(x) any(aesthetic %in% x$aesthetics), logical(1)) }, has_scale = function(aesthetic) { any(find(aesthetic)) }, add = function(scale) { prev_aes <- find(scale$aesthetics) if (any(prev_aes)) { # Get only the first aesthetic name in the returned vector -- it can # sometimes be c("x", "xmin", "xmax", ....) scalename <- scales[prev_aes][[1]]$aesthetics[1] message("Scale for '", scalename, "' is already present. Adding another scale for '", scalename, "', which will replace the existing scale.") } # Remove old scale for this aesthetic (if it exists) scales <<- c(scales[!prev_aes], list(scale)) }, clone = function() { new_scales <- lapply(scales, scale_clone) Scales$new(new_scales) }, n = function() { length(scales) }, input = function() { unlist(lapply(scales, "[[", "aesthetics")) }, initialize = function(scales = NULL) { initFields(scales = scales) }, non_position_scales = function(.) { Scales$new(scales[!find("x") & !find("y")]) }, get_scales = function(output) { scale <- scales[find(output)] if (length(scale) == 0) return() scale[[1]] } )) # Train scale from a data frame scales_train_df <- function(scales, df, drop = FALSE) { if (empty(df) || length(scales$scales) == 0) return() lapply(scales$scales, scale_train_df, df = df) } # Map values from a data.frame. Returns data.frame scales_map_df <- function(scales, df) { if (empty(df) || length(scales$scales) == 0) return() mapped <- unlist(lapply(scales$scales, scale_map_df, df = df), recursive = FALSE) quickdf(c(mapped, df[setdiff(names(df), names(mapped))])) } # Transform values to cardinal representation scales_transform_df <- function(scales, df) { if (empty(df) || length(scales$scales) == 0) return(df) transformed <- unlist(lapply(scales$scales, scale_transform_df, df = df), recursive = FALSE) quickdf(c(transformed, df[setdiff(names(df), names(transformed))])) } # @param aesthetics A list of aesthetic-variable mappings. The name of each # item is the aesthetic, and the value of each item is the variable in data. scales_add_defaults <- function(scales, data, aesthetics, env) { if (is.null(aesthetics)) return() names(aesthetics) <- unlist(lapply(names(aesthetics), aes_to_scale)) new_aesthetics <- setdiff(names(aesthetics), scales$input()) # No new aesthetics, so no new scales to add if (is.null(new_aesthetics)) return() datacols <- tryapply( aesthetics[new_aesthetics], eval, envir = data, enclos = env ) for(aes in names(datacols)) { type <- scale_type(datacols[[aes]]) scale_name <- paste("scale", aes, type, sep="_") # Skip aesthetics with no scales (e.g. group, order, etc) scale_f <- find_global(scale_name, env) if (is.null(scale_f)) next scales$add(scale_f()) } } # Add missing but required scales. # @param aesthetics A character vector of aesthetics. Typically c("x", "y"). scales_add_missing <- function(plot, aesthetics, env) { # Keep only aesthetics that aren't already in plot$scales aesthetics <- setdiff(aesthetics, plot$scales$input()) for (aes in aesthetics) { scale_name <- paste("scale", aes, "continuous", sep="_") scale_f <- find_global(scale_name, env) plot$scales$add(scale_f()) } } # Look for object first in parent environment and if not found, then in # ggplot2 namespace environment. This makes it possible to override default # scales by setting them in the parent environment. find_global <- function(name, env) { if (exists(name, env)) { return(get(name, env)) } nsenv <- asNamespace("ggplot2") if (exists(name, nsenv)) { return(get(name, nsenv)) } NULL } # Determine default type of a scale scale_type <- function(x) UseMethod("scale_type") #' @S3method scale_type default scale_type.default <- function(x) { message("Don't know how to automatically pick scale for object of type ", paste(class(x), collapse = "/"), ". Defaulting to continuous") "continuous" } #' @S3method scale_type logical scale_type.logical <- function(x) "discrete" #' @S3method scale_type character scale_type.character <- function(x) "discrete" #' @S3method scale_type factor scale_type.factor <- function(x) "discrete" #' @S3method scale_type POSIXt scale_type.POSIXt <- function(x) "datetime" #' @S3method scale_type Date scale_type.Date <- function(x) "date" #' @S3method scale_type numeric scale_type.numeric <- function(x) "continuous" ggplot2/R/stat-boxplot.r0000644000175100001440000000601112114160774014673 0ustar hornikusers#' Calculate components of box and whisker plot. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "boxplot")} #' #' @param coef length of the whiskers as multiple of IQR. Defaults to 1.5 #' @param na.rm If \code{FALSE} (the default), removes missing values with #' a warning. If \code{TRUE} silently removes missing values. #' @inheritParams stat_identity #' @return A data frame with additional columns: #' \item{width}{width of boxplot} #' \item{ymin}{lower whisker = smallest observation greater than or equal to lower hinge - 1.5 * IQR} #' \item{lower}{lower hinge, 25\% quantile} #' \item{notchlower}{lower edge of notch = median - 1.58 * IQR / sqrt(n)} #' \item{middle}{median, 50\% quantile} #' \item{notchupper}{upper edge of notch = median + 1.58 * IQR / sqrt(n)} #' \item{upper}{upper hinge, 75\% quantile} #' \item{ymax}{upper whisker = largest observation less than or equal to upper hinge + 1.5 * IQR} #' @seealso See \code{\link{geom_boxplot}} for examples. #' @export #' @examples #' # See geom_boxplot for examples stat_boxplot <- function (mapping = NULL, data = NULL, geom = "boxplot", position = "dodge", na.rm = FALSE, coef = 1.5, ...) { StatBoxplot$new(mapping = mapping, data = data, geom = geom, position = position, na.rm = na.rm, coef = coef, ...) } StatBoxplot <- proto(Stat, { objname <- "boxplot" required_aes <- c("x", "y") default_geom <- function(.) GeomBoxplot calculate_groups <- function(., data, na.rm = FALSE, width = NULL, ...) { data <- remove_missing(data, na.rm, c("y", "weight"), name="stat_boxplot", finite = TRUE) data$weight <- data$weight %||% 1 width <- width %||% resolution(data$x) * 0.75 .super$calculate_groups(., data, na.rm = na.rm, width = width, ...) } calculate <- function(., data, scales, width=NULL, na.rm = FALSE, coef = 1.5, ...) { with(data, { qs <- c(0, 0.25, 0.5, 0.75, 1) if (length(unique(weight)) != 1) { try_require("quantreg") stats <- as.numeric(coef(rq(y ~ 1, weights = weight, tau=qs))) } else { stats <- as.numeric(quantile(y, qs)) } names(stats) <- c("ymin", "lower", "middle", "upper", "ymax") iqr <- diff(stats[c(2, 4)]) outliers <- y < (stats[2] - coef * iqr) | y > (stats[4] + coef * iqr) if (any(outliers)) { stats[c(1, 5)] <- range(c(stats[2:4], y[!outliers]), na.rm=TRUE) } if (length(unique(x)) > 1) width <- diff(range(x)) * 0.9 df <- as.data.frame(as.list(stats)) df$outliers <- I(list(y[outliers])) if (is.null(weight)) { n <- sum(!is.na(y)) } else { # Sum up weights for non-NA positions of y and weight n <- sum(weight[!is.na(y) & !is.na(weight)]) } df$notchupper <- df$middle + 1.58 * iqr / sqrt(n) df$notchlower <- df$middle - 1.58 * iqr / sqrt(n) transform(df, x = if (is.factor(x)) x[1] else mean(range(x)), width = width ) }) } }) ggplot2/R/scale-date.r0000644000175100001440000001011712114160774014237 0ustar hornikusers#' Position scale, date #' #' @rdname scale_date #' @inheritParams scale_x_continuous #' @param breaks A vector of breaks, a function that given the scale limits #' returns a vector of breaks, or a character vector, specifying the width #' between breaks. For more information about the first two, see #' \code{\link{continuous_scale}}, for more information about the last, #' see \code{\link[scales]{date_breaks}}`. #' @param minor_breaks Either \code{NULL} for no minor breaks, \code{waiver()} #' for the default breaks (one minor break between each major break), a #' numeric vector of positions, or a function that given the limits returns #' a vector of minor breaks. #' @family position scales #' @export #' @examples #' # We'll start by creating some nonsense data with dates #' df <- data.frame( #' date = seq(Sys.Date(), len=100, by="1 day")[sample(100, 50)], #' price = runif(50) #' ) #' df <- df[order(df$date), ] #' dt <- qplot(date, price, data=df, geom="line") + theme(aspect.ratio = 1/4) #' #' # We can control the format of the labels, and the frequency of #' # the major and minor tickmarks. See ?format.Date and ?seq.Date #' # for more details. #' library(scales) # to access breaks/formatting functions #' dt + scale_x_date() #' dt + scale_x_date(labels = date_format("%m/%d")) #' dt + scale_x_date(labels = date_format("%W")) #' dt + scale_x_date(labels = date_format("%W"), breaks = date_breaks("week")) #' #' dt + scale_x_date(breaks = date_breaks("months"), #' labels = date_format("%b")) #' dt + scale_x_date(breaks = date_breaks("4 weeks"), #' labels = date_format("%d-%b")) #' #' # We can use character string for breaks. #' # See \code{\link{by}} argument in \code{\link{seq.Date}}. #' dt + scale_x_date(breaks = "2 weeks") #' dt + scale_x_date(breaks = "1 month", minor_breaks = "1 week") #' #' # The date scale will attempt to pick sensible defaults for #' # major and minor tick marks #' qplot(date, price, data=df[1:10,], geom="line") #' qplot(date, price, data=df[1:4,], geom="line") #' #' df <- data.frame( #' date = seq(Sys.Date(), len=1000, by="1 day"), #' price = runif(500) #' ) #' qplot(date, price, data=df, geom="line") #' #' # A real example using economic time series data #' qplot(date, psavert, data=economics) #' qplot(date, psavert, data=economics, geom="path") #' #' end <- max(economics$date) #' last_plot() + scale_x_date(limits = c(as.Date("2000-1-1"), end)) #' last_plot() + scale_x_date(limits = c(as.Date("2005-1-1"), end)) #' last_plot() + scale_x_date(limits = c(as.Date("2006-1-1"), end)) #' #' # If we want to display multiple series, one for each variable #' # it's easiest to first change the data from a "wide" to a "long" #' # format: #' library(reshape2) # for melt #' em <- melt(economics, id = "date") #' #' # Then we can group and facet by the new "variable" variable #' qplot(date, value, data = em, geom = "line", group = variable) #' qplot(date, value, data = em, geom = "line", group = variable) + #' facet_grid(variable ~ ., scale = "free_y") scale_x_date <- function(..., expand = waiver(), breaks = pretty_breaks(), minor_breaks = waiver()) { scale_date(c("x", "xmin", "xmax", "xend"), expand = expand, breaks = breaks, minor_breaks = minor_breaks, ...) } #' @rdname scale_date #' @export scale_y_date <- function(..., expand = waiver(), breaks = pretty_breaks(), minor_breaks = waiver()) { scale_date(c("y", "ymin", "ymax", "yend"), expand = expand, breaks = breaks, minor_breaks = minor_breaks, ...) } # base class for scale_{xy}_date scale_date <- function(aesthetics, expand = waiver(), breaks = pretty_breaks(), minor_breaks = waiver(), ...) { if (is.character(breaks)) { breaks_str <- breaks breaks <- date_breaks(breaks_str) } if (is.character(minor_breaks)) { mbreaks_str <- minor_breaks minor_breaks <- date_breaks(mbreaks_str) } continuous_scale(aesthetics, "date", identity, breaks = breaks, minor_breaks = minor_breaks, guide = "none", expand = expand, trans = "date", ...) } #' @S3method scale_map date scale_map.date <- function(scale, x, limits = scale_limits(scale)) { x } ggplot2/R/scale-identity.r0000644000175100001440000000477412114160774015167 0ustar hornikusers#' Use values without scaling. #' #' @name scale_identity #' @param ... Other arguments passed on to \code{\link{discrete_scale}} or #' \code{\link{continuous_scale}} #' @param guide Guide to use for this scale - defaults to \code{"none"}. #' @examples #' colour <- c("red", "green", "blue", "yellow") #' qplot(1:4, 1:4, fill = colour, geom = "tile") #' qplot(1:4, 1:4, fill = colour, geom = "tile") + scale_fill_identity() #' #' # To get a legend guide, specify guide = "legend" #' qplot(1:4, 1:4, fill = colour, geom = "tile") + #' scale_fill_identity(guide = "legend") #' # But you'll typically also need to supply breaks and labels: #' qplot(1:4, 1:4, fill = colour, geom = "tile") + #' scale_fill_identity("trt", labels = letters[1:4], breaks = colour, #' guide = "legend") #' #' # cyl scaled to appropriate size #' qplot(mpg, wt, data = mtcars, size = cyl) #' #' # cyl used as point size #' qplot(mpg, wt, data = mtcars, size = cyl) + scale_size_identity() NULL #' @rdname scale_identity #' @export scale_colour_identity <- function(..., guide = "none") { identity_scale(discrete_scale("colour", "identity", identity_pal(), ..., guide = guide)) } #' @rdname scale_identity #' @export scale_fill_identity <- function(..., guide = "none") { identity_scale(discrete_scale("fill", "identity", identity_pal(), ..., guide = guide)) } #' @rdname scale_identity #' @export scale_shape_identity <- function(..., guide = "none") { identity_scale(continuous_scale("shape", "identity", identity_pal(), ..., guide = guide)) } #' @rdname scale_identity #' @export scale_linetype_identity <- function(..., guide = "none") { identity_scale(discrete_scale("linetype", "identity", identity_pal(), ..., guide = guide)) } #' @rdname scale_identity #' @export scale_alpha_identity <- function(..., guide = "none") { identity_scale(continuous_scale("alpha", "identity", identity_pal(), ..., guide = guide)) } #' @rdname scale_identity #' @export scale_size_identity <- function(..., guide = "none") { identity_scale(continuous_scale("size", "identity", identity_pal(), ..., guide = guide)) } identity_scale <- function(x) { structure(x, class = c("identity", class(x))) } #' @S3method scale_map identity scale_map.identity <- function(scale, x) { if (is.factor(x)) { as.character(x) } else { x } } #' @S3method scale_train identity scale_train.identity <- function(scale, x) { # do nothing if no guide, otherwise train so we know what breaks to use if (scale$guide == "none") return() NextMethod() } ggplot2/R/stat-.r0000644000175100001440000000373012114160774013270 0ustar hornikusersStat <- proto(TopLevel, expr={ objname <- "" desc <- "" # Should the values produced by the statistic also be transformed # in the second pass when recently added statistics are trained to # the scales retransform <- TRUE default_geom <- function(.) Geom default_aes <- function(.) aes() default_pos <- function(.) .$default_geom()$default_pos() required_aes <- c() aesthetics <- list() calculate <- function(., data, scales, ...) {} calculate_groups <- function(., data, scales, ...) { if (empty(data)) return(data.frame()) force(data) force(scales) # # Alternative approach: cleaner, but much slower # # Compute statistic for each group # stats <- ddply(data, "group", function(group) { # .$calculate(group, scales, ...) # }) # stats$ORDER <- seq_len(nrow(stats)) # # # Combine statistics with original columns # unique <- ddply(data, .(group), uniquecols) # stats <- merge(stats, unique, by = "group") # stats[stats$ORDER, ] groups <- split(data, data$group) stats <- lapply(groups, function(group) .$calculate(data = group, scales = scales, ...)) stats <- mapply(function(new, old) { if (empty(new)) return(data.frame()) unique <- uniquecols(old) missing <- !(names(unique) %in% names(new)) cbind( new, unique[rep(1, nrow(new)), missing,drop=FALSE] ) }, stats, groups, SIMPLIFY=FALSE) do.call(rbind.fill, stats) } pprint <- function(., newline=TRUE) { cat("stat_", .$objname ,": ", sep="") # , clist(.$parameters()) if (newline) cat("\n") } parameters <- function(.) { params <- formals(get("calculate", .)) params[setdiff(names(params), c(".","data","scales"))] } class <- function(.) "stat" new <- function(., mapping=aes(), data=NULL, geom=NULL, position=NULL, ...){ do.call("layer", list(mapping=mapping, data=data, geom=geom, stat=., position=position, ...)) } }) ggplot2/R/geom-errorh.r0000644000175100001440000000370312114161113014452 0ustar hornikusers#' Horizontal error bars #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "errorbarh")} #' #' @seealso \code{\link{geom_errorbar}}: vertical error bars #' @inheritParams geom_point #' @export #' @examples #' df <- data.frame( #' trt = factor(c(1, 1, 2, 2)), #' resp = c(1, 5, 3, 4), #' group = factor(c(1, 2, 1, 2)), #' se = c(0.1, 0.3, 0.3, 0.2) #' ) #' #' # Define the top and bottom of the errorbars #' #' p <- ggplot(df, aes(resp, trt, colour = group)) #' p + geom_point() + #' geom_errorbarh(aes(xmax = resp + se, xmin = resp - se)) #' p + geom_point() + #' geom_errorbarh(aes(xmax = resp + se, xmin = resp - se, height = .2)) geom_errorbarh <- function (mapping = NULL, data = NULL, stat = "identity", position = "identity", ...) { GeomErrorbarh$new(mapping = mapping, data = data, stat = stat, position = position, ...) } GeomErrorbarh <- proto(Geom, { objname <- "errorbarh" default_stat <- function(.) StatIdentity default_aes <- function(.) aes(colour = "black", size=0.5, linetype=1, height=0.5, alpha = NA) guide_geom <- function(.) "path" required_aes <- c("x", "xmin", "xmax", "y") reparameterise <- function(., df, params) { df$height <- df$height %||% params$height %||% (resolution(df$y, FALSE) * 0.9) transform(df, ymin = y - height / 2, ymax = y + height / 2, height = NULL ) } draw <- function(., data, scales, coordinates, height = NULL, ...) { GeomPath$draw(with(data, data.frame( x = as.vector(rbind(xmax, xmax, NA, xmax, xmin, NA, xmin, xmin)), y = as.vector(rbind(ymin, ymax, NA, y, y, NA, ymin, ymax)), colour = rep(colour, each = 8), alpha = rep(alpha, each = 8), size = rep(size, each = 8), linetype = rep(linetype, each = 8), group = rep(1:(nrow(data)), each = 8), stringsAsFactors = FALSE, row.names = 1:(nrow(data) * 8) )), scales, coordinates, ...) } }) ggplot2/R/labels.r0000644000175100001440000000353712114160774013507 0ustar hornikusers#' Update axis/legend labels #' #' @param p plot to modify #' @param labels named list of new labels #' @export #' @examples #' p <- qplot(mpg, wt, data = mtcars) #' update_labels(p, list(x = "New x")) #' update_labels(p, list(x = expression(x / y ^ 2))) #' update_labels(p, list(x = "New x", y = "New Y")) #' update_labels(p, list(colour = "Fail silently")) update_labels <- function(p, labels) { p <- plot_clone(p) p$labels <- defaults(labels, p$labels) p } #' Change axis labels and legend titles #' #' @param label The text for the axis or plot title. #' @param ... a list of new names in the form aesthetic = "new name" #' @export #' @examples #' p <- qplot(mpg, wt, data = mtcars) #' p + labs(title = "New plot title") #' p + labs(x = "New x label") #' p + xlab("New x label") #' p + ylab("New y label") #' p + ggtitle("New plot title") #' #' # This should work indepdendently of other functions that modify the #' # the scale names #' p + ylab("New y label") + ylim(2, 4) #' p + ylim(2, 4) + ylab("New y label") #' #' # The labs function also modifies legend labels #' p <- qplot(mpg, wt, data = mtcars, colour = cyl) #' p + labs(colour = "Cylinders") #' #' # Can also pass in a list, if that is more convenient #' p + labs(list(title = "Title", x = "X", y = "Y")) labs <- function(...) { args <- list(...) if (is.list(args[[1]])) args <- args[[1]] args <- rename_aes(args) structure(args, class = "labels") } #' @rdname labs #' @export xlab <- function(label) { labs(x = label) } #' @rdname labs #' @export ylab <- function(label) { labs(y = label) } #' @rdname labs #' @export ggtitle <- function(label) { labs(title = label) } # Convert aesthetic mapping into text labels make_labels <- function(mapping) { remove_dots <- function(x) { gsub("\\.\\.([a-zA-z._]+)\\.\\.", "\\1", x) } lapply(mapping, function(x) remove_dots(deparse(x))) } ggplot2/R/coord-cartesian-.r0000644000175100001440000000620212114161113015353 0ustar hornikusers#' Cartesian coordinates. #' #' The Cartesian coordinate system is the most familiar, and common, type of #' coordinate system. Setting limits on the coordinate system will zoom the #' plot (like you're looking at it with a magnifying glass), and will not #' change the underlying data like setting limits on a scale will. #' #' @param xlim limits for the x axis #' @param ylim limits for the y axis #' @param wise deprecated in 0.9.1 #' @export #' @examples #' # There are two ways of zooming the plot display: with scales or #' # with coordinate systems. They work in two rather different ways. #' #' (p <- qplot(disp, wt, data=mtcars) + geom_smooth()) #' #' # Setting the limits on a scale will throw away all data that's not #' # inside these limits. This is equivalent to plotting a subset of #' # the original data #' p + scale_x_continuous(limits = c(325, 500)) #' #' # Setting the limits on the coordinate system performs a visual zoom #' # the data is unchanged, and we just view a small portion of the original #' # plot. See how the axis labels are the same as the original data, and #' # the smooth continue past the points visible on this plot. #' p + coord_cartesian(xlim = c(325, 500)) #' #' # You can see the same thing with this 2d histogram #' (d <- ggplot(diamonds, aes(carat, price)) + #' stat_bin2d(bins = 25, colour="grey50")) #' #' # When zooming the scale, the we get 25 new bins that are the same #' # size on the plot, but represent smaller regions of the data space #' d + scale_x_continuous(limits = c(0, 2)) #' #' # When zooming the coordinate system, we see a subset of original 50 bins, #' # displayed bigger #' d + coord_cartesian(xlim = c(0, 2)) coord_cartesian <- function(xlim = NULL, ylim = NULL, wise = NULL) { if (!is.null(wise)) gg_dep("0.9.0", "wise argument to coord_cartesian is ignored") coord(limits = list(x = xlim, y = ylim), subclass = "cartesian") } #' @S3method is.linear cartesian is.linear.cartesian <- function(coord) TRUE #' @S3method coord_distance cartesian coord_distance.cartesian <- function(coord, x, y, details) { max_dist <- dist_euclidean(details$x.range, details$y.range) dist_euclidean(x, y) / max_dist } #' @S3method coord_transform cartesian coord_transform.cartesian <- function(., data, details) { rescale_x <- function(data) rescale(data, from = details$x.range) rescale_y <- function(data) rescale(data, from = details$y.range) data <- transform_position(data, rescale_x, rescale_y) transform_position(data, squish_infinite, squish_infinite) } #' @S3method coord_train cartesian coord_train.cartesian <- function(coord, scales) { c(train_cartesian(scales$x, coord$limits$x, "x"), train_cartesian(scales$y, coord$limits$y, "y")) } train_cartesian <- function(scale, limits, name) { # first, calculate the range that is the numerical limits in data space # expand defined by scale OR coord if (is.null(limits)) { expand <- coord_expand_defaults(coord, scale) range <- scale_dimension(scale, expand) } else { range <- range(scale_transform(scale, limits)) } out <- scale_break_info(scale, range) names(out) <- paste(name, names(out), sep = ".") out } ggplot2/R/scale-discrete-.r0000644000175100001440000001052412114160774015203 0ustar hornikusers#' Discrete position. #' #' You can use continuous positions even with a discrete position scale - #' this allows you (e.g.) to place labels between bars in a bar chart. #' Continuous positions are numeric values starting at one for the first #' level, and increasing by one for each level (i.e. the labels are placed #' at integer positions). This is what allows jittering to work. #' #' #' @param ... common discrete scale parameters: \code{name}, \code{breaks}, #' \code{labels}, \code{na.value}, \code{limits} and \code{guide}. See #' \code{\link{discrete_scale}} for more details #' @param expand a numeric vector of length two giving multiplicative and #' additive expansion constants. These constants ensure that the data is #' placed some distance away from the axes. #' @rdname scale_discrete #' @family position scales #' @export #' @examples #' \donttest{ #' qplot(cut, data=diamonds, stat="bin") #' qplot(cut, data=diamonds, geom="bar") #' #' # The discrete position scale is added automatically whenever you #' # have a discrete position. #' #' (d <- qplot(cut, clarity, data=subset(diamonds, carat > 1), geom="jitter")) #' #' d + scale_x_discrete("Cut") #' d + scale_x_discrete("Cut", labels = c("Fair" = "F","Good" = "G", #' "Very Good" = "VG","Perfect" = "P","Ideal" = "I")) #' #' d + scale_y_discrete("Clarity") #' d + scale_x_discrete("Cut") + scale_y_discrete("Clarity") #' #' # Use limits to adjust the which levels (and in what order) #' # are displayed #' d + scale_x_discrete(limits=c("Fair","Ideal")) #' #' # you can also use the short hand functions xlim and ylim #' d + xlim("Fair","Ideal", "Good") #' d + ylim("I1", "IF") #' #' # See ?reorder to reorder based on the values of another variable #' qplot(manufacturer, cty, data=mpg) #' qplot(reorder(manufacturer, cty), cty, data=mpg) #' qplot(reorder(manufacturer, displ), cty, data=mpg) #' #' # Use abbreviate as a formatter to reduce long names #' qplot(reorder(manufacturer, cty), cty, data=mpg) + #' scale_x_discrete(labels = abbreviate) #' } scale_x_discrete <- function(..., expand = waiver()) { sc <- discrete_scale(c("x", "xmin", "xmax", "xend"), "position_d", identity, ..., expand = expand, guide = "none") sc$range_c <- ContinuousRange$new() sc } #' @rdname scale_discrete #' @export scale_y_discrete <- function(..., expand = waiver()) { sc <- discrete_scale(c("y", "ymin", "ymax", "yend"), "position_d", identity, ..., expand = expand, guide = "none") sc$range_c <- ContinuousRange$new() sc } # The discrete position scale maintains two separate ranges - one for # continuous data and one for discrete data. This complicates training and # mapping, but makes it possible to place objects at non-integer positions, # as is necessary for jittering etc. #' @S3method scale_train position_d scale_train.position_d <- function(scale, x) { if (is.discrete(x)) { scale$range$train(x, drop = scale$drop) } else { scale$range_c$train(x) } } # If range not available from discrete range, implies discrete scale been # used with purely continuous data, so construct limits accordingly #' @S3method scale_limits position_d scale_limits.position_d <- function(scale) { dis_limits <- function(x) seq.int(floor(min(x)), ceiling(max(x)), by = 1L) scale$limits %||% scale$range$range %||% dis_limits(scale$range_c$range) } #' @S3method scale_is_empty position_d scale_is_empty.position_d <- function(scale) { NextMethod() && is.null(scale$range_c$range) } #' @S3method scale_reset position_d scale_reset.position_d <- function(scale, x) { # Can't reset discrete scale because no way to recover values scale$range_c$reset() } #' @S3method scale_map position_d scale_map.position_d <- function(scale, x, limits = scale_limits(scale)) { if (is.discrete(x)) { seq_along(limits)[match(as.character(x), limits)] } else { x } } #' @S3method scale_dimension position_d scale_dimension.position_d <- function(scale, expand = scale$expand) { if(is.waive(expand)) expand <- c(0, 0) disc_range <- c(1, length(scale_limits(scale))) disc <- expand_range(disc_range, 0, expand[2], 1) cont <- expand_range(scale$range_c$range, expand[1], 0, expand[2]) range(disc, cont) } #' @S3method scale_clone position_d scale_clone.position_d <- function(scale) { new <- scale new$range <- DiscreteRange$new() new$range_c <- ContinuousRange$new() new } ggplot2/R/stat-unique.r0000644000175100001440000000130112114160774014507 0ustar hornikusers#' Remove duplicates. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "unique")} #' #' @export #' @inheritParams stat_identity #' @examples #' ggplot(mtcars, aes(vs, am)) + geom_point(alpha = 0.1) #' ggplot(mtcars, aes(vs, am)) + geom_point(alpha = 0.1, stat="unique") stat_unique <- function (mapping = NULL, data = NULL, geom = "point", position = "identity", ...) { StatUnique$new(mapping = mapping, data = data, geom = geom, position = position, ...) } StatUnique <- proto(Stat, { objname <- "unique" desc <- "Remove duplicates" default_geom <- function(.) GeomPoint calculate_groups <- function(., data, scales, ...) unique(data) }) ggplot2/R/geom-path-density2d.r0000644000175100001440000000213412114161113016005 0ustar hornikusers#' Contours from a 2d density estimate. #' #' Perform a 2D kernel density estimatation using kde2d and display the #' results with contours. #' #' This can be useful for dealing with overplotting. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "density2d")} #' #' @seealso \code{\link{geom_contour}} for contour drawing geom, #' \code{\link{stat_sum}} for another way of dealing with overplotting #' @inheritParams geom_point #' @inheritParams geom_path #' @export #' @examples #' # See stat_density2d for examples geom_density2d <- function (mapping = NULL, data = NULL, stat = "density2d", position = "identity", lineend = "butt", linejoin = "round", linemitre = 1, na.rm = FALSE, ...) { GeomDensity2d$new(mapping = mapping, data = data, stat = stat, position = position, lineend = lineend, linejoin = linejoin, linemitre = linemitre, na.rm = na.rm, ...) } GeomDensity2d <- proto(GeomPath, { objname <- "density2d" default_stat <- function(.) StatDensity2d default_aes <- function(.) aes(colour="#3366FF", size = 0.5, linetype = 1, alpha = NA) }) ggplot2/R/translate-qplot-gpl.r0000644000175100001440000000505312114160774016152 0ustar hornikusers#' Translating between qplot and Graphics Production Library (GPL) #' #' The Grammar of Graphics uses two specifications. A concise format is used to #' caption figures, and a more detailed xml format stored on disk. #' #' @name translate_qplot_gpl #' @examples #' #' # The following example of the concise format is adapted from Figure 1.5, #' # page 13, of Leland Wilkinson's "The Grammar of Graphics." #' # Springer, 2nd edition, 2005. #' #' # DATA: source("demographics") #' # DATA: longitude, latitude = map(source("World")) #' # TRANS: bd = max(birth - death, 0) #' # COORD: project.mercator() #' # ELEMENT: point(position(lon * lat), size(bd), color(color.red)) #' # ELEMENT: polygon(position(longitude * latitude)) #' #' # This is relatively simple to adapt to the syntax of ggplot2: #' #' # ggplot() is used to specify the default data and default aesthetic mappings. #' # Data is provided as standard R data.frames existing in the global environment; #' # it does not need to be explicitly loaded. We also use a slightly #' # different world dataset, with columns lat and long. This lets us use the #' # same aesthetic mappings for both datasets. Layers can override the default #' # data and aesthetic mappings provided by the plot. #' #' # We replace TRANS with an explicit transformation by R code. #' #' # ELEMENTs are replaced with layers, which explicitly specify the data #' # source. Each geom has a default statistic which is used to transform the #' # data prior to plotting. For the geoms in this example, the default statistic #' # is the identity function. Fixed aesthetics (the colour red in this example) #' # are supplied as additional arguments to the layer, rather than as special #' # constants. #' #' # The SCALE component has been omitted from this example (so that the #' # defaults are used). In both the ggplot2 and GoG examples, scales are #' # defined by default. In ggplot you can override the defaults by adding a #' # scale object, e.g., scale colour or scale size. #' #' # COORD uses a slightly different format. In general, most of the components #' # specifications in ggplot are slightly different to those in GoG, in order to #' # be more familiar to R users. #' #' # Each component is added together with + to create the final plot. #' #' # Resulting ggplot2 code: #' # demographics <- transform(demographics, bd = pmax(birth - death, 0)) #' # p <- ggplot(demographic, aes(lon, lat)) #' # p <- p + geom_polyogon(data = world) #' # p <- p + geom_point(aes(size = bd), colour = "red") #' # p <- p + coord_map(projection = "mercator") #' # print(p) NULL ggplot2/R/panel.r0000644000175100001440000001517512114161113013331 0ustar hornikusers# Panel object. # # A panel figures out how data is positioned within a panel of a plot, # coordinates information from scales, facets and coords. Eventually all # state will move out of facets and coords, and live only in panels and # stats, simplifying these data structures to become strategies. # # Information about a panel is built up progressively over time, which # is why the initial object is empty to start with. new_panel <- function() { structure(list(), class = "panel") } # Learn the layout of panels within a plot. # # This is determined by the facet, which returns a data frame, than # when joined to the data to be plotted tells us which panel it should # appear in, where that panel appears in the grid, and what scales it # uses. # # As well as the layout info, this function also adds empty lists in which # to house the x and y scales. # # @param the panel object to train # @param the facetting specification # @param data a list of data frames (one for each layer), and one for the plot # @param plot_data the default data frame # @return an updated panel object train_layout <- function(panel, facet, data, plot_data) { layout <- facet_train_layout(facet, c(list(plot_data), data)) panel$layout <- layout panel$shrink <- facet$shrink panel } # Map data to find out where it belongs in the plot. # # Layout map ensures that all layer data has extra copies of data for margins # and missing facetting variables, and has a PANEL variable that tells that # so it know what panel it belongs to. This is a change from the previous # design which added facetting variables directly to the data frame and # caused problems when they had names of aesthetics (like colour or group). # # @param panel a trained panel object # @param the facetting specification # @param data list of data frames (one for each layer) # @param plot_data default plot data frame map_layout <- function(panel, facet, data, plot_data) { lapply(data, function(data) { if (is.waive(data)) data <- plot_data facet_map_layout(facet, data, panel$layout) }) } # Train position scales with data # # If panel-specific scales are not already present, will clone from # the scales provided in the parameter # # @param panel the panel object to train # @param data a list of data frames (one for each layer) # @param x_scale x scale for the plot # @param y_scale y scale for the plot train_position <- function(panel, data, x_scale, y_scale) { # Initialise scales if needed, and possible. layout <- panel$layout if (is.null(panel$x_scales) && !is.null(x_scale)) { panel$x_scales <- rlply(max(layout$SCALE_X), scale_clone(x_scale)) } if (is.null(panel$y_scales) && !is.null(y_scale)) { panel$y_scales <- rlply(max(layout$SCALE_Y), scale_clone(y_scale)) } # loop over each layer, training x and y scales in turn for(layer_data in data) { match_id <- match(layer_data$PANEL, layout$PANEL) if (!is.null(x_scale)) { x_vars <- intersect(x_scale$aesthetics, names(layer_data)) SCALE_X <- layout$SCALE_X[match_id] scale_apply(layer_data, x_vars, scale_train, SCALE_X, panel$x_scales) } if (!is.null(y_scale)) { y_vars <- intersect(y_scale$aesthetics, names(layer_data)) SCALE_Y <- layout$SCALE_Y[match_id] scale_apply(layer_data, y_vars, scale_train, SCALE_Y, panel$y_scales) } } panel } reset_scales <- function(panel) { if (!panel$shrink) return() l_ply(panel$x_scales, scale_reset) l_ply(panel$y_scales, scale_reset) } # Map data with scales. # # This operation must be idempotent because it is applied twice: both before # and after statistical transformation. # # @param data a list of data frames (one for each layer) map_position <- function(panel, data, x_scale, y_scale) { layout <- panel$layout lapply(data, function(layer_data) { match_id <- match(layer_data$PANEL, layout$PANEL) # Loop through each variable, mapping across each scale, then joining # back together x_vars <- intersect(x_scale$aesthetics, names(layer_data)) names(x_vars) <- x_vars SCALE_X <- layout$SCALE_X[match_id] new_x <- scale_apply(layer_data, x_vars, scale_map, SCALE_X, panel$x_scales) layer_data[, x_vars] <- new_x y_vars <- intersect(y_scale$aesthetics, names(layer_data)) names(y_vars) <- y_vars SCALE_Y <- layout$SCALE_Y[match_id] new_y <- scale_apply(layer_data, y_vars, scale_map, SCALE_Y, panel$y_scales) layer_data[, y_vars] <- new_y layer_data }) } # Function for applying scale function to multiple variables in a given # data set. Implement in such a way to minimise copying and hence maximise # speed scale_apply <- function(data, vars, f, scale_id, scales) { if (length(vars) == 0) return() if (nrow(data) == 0) return() n <- length(scales) if (any(is.na(scale_id))) stop() # This is a hack for ggplot2 0.9.3 to make it compatible with both plyr 1.7.1 and # plyr 1.8 (and above). This should be removed for the next release of ggplot2. # Tag: deprecated if (packageVersion("plyr") <= package_version("1.7.1")) { scale_index <- plyr:::split_indices(seq_len(nrow(data)), scale_id, n) } else { scale_index <- plyr:::split_indices(scale_id, n) } lapply(vars, function(var) { pieces <- lapply(seq_along(scales), function(i) { f(scales[[i]], data[[var]][scale_index[[i]]]) }) # Join pieces back together, if necessary if (!is.null(pieces)) { unlist(pieces)[order(unlist(scale_index))] } }) } panel_scales <- function(panel, i) { this_panel <- panel$layout[panel$layout$PANEL == i, ] list( x = panel$x_scales[[this_panel$SCALE_X]], y = panel$y_scales[[this_panel$SCALE_Y]] ) } # Compute ranges and dimensions of each panel, using the coord. train_ranges <- function(panel, coord) { compute_range <- function(ix, iy) { # TODO: change coord_train method to take individual x and y scales coord_train(coord, list(x = panel$x_scales[[ix]], y = panel$y_scales[[iy]])) } panel$ranges <- Map(compute_range, panel$layout$SCALE_X, panel$layout$SCALE_Y) panel } # Calculate statistics # # @param layers list of layers # @param data a list of data frames (one for each layer) calculate_stats <- function(panel, data, layers) { lapply(seq_along(data), function(i) { d <- data[[i]] l <- layers[[i]] ddply(d, "PANEL", function(panel_data) { scales <- panel_scales(panel, panel_data$PANEL[1]) l$calc_statistic(panel_data, scales) }) }) } xlabel <- function(panel, labels) { panel$x_scales[[1]]$name %||% labels$x } ylabel <- function(panel, labels) { panel$y_scales[[1]]$name %||% labels$y } ggplot2/R/scale-hue.r0000644000175100001440000000365212114160774014111 0ustar hornikusers#' Qualitative colour scale with evenly spaced hues. #' #' @param na.value Colour to use for missing values #' @param ... Other arguments passed on to \code{\link{discrete_scale}} #' to control name, limits, breaks, labels and so forth. #' @inheritParams scales::hue_pal #' @rdname scale_hue #' @export #' @family colour scales #' @examples #' \donttest{ #' dsamp <- diamonds[sample(nrow(diamonds), 1000), ] #' (d <- qplot(carat, price, data=dsamp, colour=clarity)) #' #' # Change scale label #' d + scale_colour_hue() #' d + scale_colour_hue("clarity") #' d + scale_colour_hue(expression(clarity[beta])) #' #' # Adjust luminosity and chroma #' d + scale_colour_hue(l=40, c=30) #' d + scale_colour_hue(l=70, c=30) #' d + scale_colour_hue(l=70, c=150) #' d + scale_colour_hue(l=80, c=150) #' #' # Change range of hues used #' d + scale_colour_hue(h=c(0, 90)) #' d + scale_colour_hue(h=c(90, 180)) #' d + scale_colour_hue(h=c(180, 270)) #' d + scale_colour_hue(h=c(270, 360)) #' #' # Vary opacity #' # (only works with pdf, quartz and cairo devices) #' d <- ggplot(dsamp, aes(carat, price, colour = clarity)) #' d + geom_point(alpha = 0.9) #' d + geom_point(alpha = 0.5) #' d + geom_point(alpha = 0.2) #' #' # Colour of missing values is controlled with na.value: #' miss <- factor(sample(c(NA, 1:5), nrow(mtcars), rep = TRUE)) #' qplot(mpg, wt, data = mtcars, colour = miss) #' qplot(mpg, wt, data = mtcars, colour = miss) + #' scale_colour_hue(na.value = "black") #' } scale_colour_hue <- function(..., h = c(0, 360) + 15, c = 100, l = 65, h.start = 0, direction = 1, na.value = "grey50") { discrete_scale("colour", "hue", hue_pal(h, c, l, h.start, direction), na.value = na.value, ...) } #' @rdname scale_hue #' @export scale_fill_hue <- function(..., h = c(0, 360) + 15, c = 100, l = 65, h.start = 0, direction = 1, na.value = "grey50") { discrete_scale("fill", "hue", hue_pal(h, c, l, h.start, direction), na.value = na.value, ...) } ggplot2/R/utilities-layer.r0000644000175100001440000000146112114160774015364 0ustar hornikusers# Ensure that the data frame contains a grouping variable. # # If the \code{group} variable is not present, then a new group # variable is generated from the interaction of all discrete (factor or # character) vectors, excluding \code{label}. # # @param data.frame # @value data.frame with group variable # @keyword internal add_group <- function(data) { if (empty(data)) return(data) if (is.null(data$group)) { disc <- vapply(data, is.discrete, logical(1)) disc[names(disc) == "label"] <- FALSE if (any(disc)) { data$group <- id(data[disc], drop = TRUE) } else { data$group <- 1L } } else { data$group <- id(data["group"], drop = TRUE) } data } order_groups <- function(data) { if (is.null(data$order)) return(data) data[order(data$order), ] } ggplot2/R/aes-group-order.r0000644000175100001440000000734612114160774015262 0ustar hornikusers#' Aesthetics: group, order #' #' @name aes_group_order #' @aliases group order #' #' @examples #' \donttest{ #' #' # By default, the group is set to the interaction of all discrete variables in the #' # plot. This often partitions the data correctly, but when it does not, or when #' # no discrete variable is used in the plot, you will need to explicitly define the #' # grouping structure, by mapping group to a variable that has a different value #' # for each group. #' #' # For most applications you can simply specify the grouping with #' # various aesthetics (colour, shape, fill, linetype) or with facets. #' #' p <- ggplot(mtcars, aes(wt, mpg)) #' # A basic scatter plot #' p + geom_point(size = 4) #' # The colour aesthetic #' p + geom_point(aes(colour = factor(cyl)), size = 4) #' # Or you can use shape to distinguish the data #' p + geom_point(aes(shape = factor(cyl)), size = 4) #' #' # Using fill #' a <- ggplot(mtcars, aes(factor(cyl))) #' a + geom_bar() #' a + geom_bar(aes(fill = factor(cyl))) #' a + geom_bar(aes(fill = factor(vs))) #' #' # Using linetypes #' library(reshape2) # for melt #' library(plyr) # for colwise #' rescale01 <- function(x) (x - min(x)) / diff(range(x)) #' ec_scaled <- data.frame( #' date = economics$date, #' colwise(rescale01)(economics[, -(1:2)])) #' ecm <- melt(ec_scaled, id = "date") #' f <- ggplot(ecm, aes(date, value)) #' f + geom_line(aes(linetype = variable)) #' #' # Using facets #' k <- ggplot(diamonds, aes(carat, ..density..)) + geom_histogram(binwidth = 0.2) #' k + facet_grid(. ~ cut) #' #' # There are three common cases where the default is not enough, and we #' # will consider each one below. In the following examples, we will use a simple #' # longitudinal dataset, Oxboys, from the nlme package. It records the heights #' # (height) and centered ages (age) of 26 boys (Subject), measured on nine #' # occasions (Occasion). #' #' # Multiple groups with one aesthetic #' library(nlme) #' h <- ggplot(Oxboys, aes(age, height)) #' # A single line tries to connect all the observations #' h + geom_line() #' # The group aesthetic maps a different line for each subject #' h + geom_line(aes(group = Subject)) #' #' # Different groups on different layers #' h <- h + geom_line(aes(group = Subject)) #' # Using the group aesthetic with both geom_line() and geom_smooth() #' # groups the data the same way for both layers #' h + geom_smooth(aes(group = Subject), method = "lm", se = FALSE) #' # Changing the group aesthetic for the smoother layer #' # fits a single line of best fit across all boys #' h + geom_smooth(aes(group = 1), size = 2, method = "lm", se = FALSE) #' #' # Overriding the default grouping #' # The plot has a discrete scale but you want to draw lines that connect across #' # groups. This is the strategy used in interaction plots, profile plots, and parallel #' # coordinate plots, among others. For example, we draw boxplots of height at #' # each measurement occasion #' boysbox <- ggplot(Oxboys, aes(Occasion, height)) #' boysbox + geom_boxplot() #' # There is no need to specify the group aesthetic here; the default grouping #' # works because occasion is a discrete variable. To overlay individual trajectories #' # we again need to override the default grouping for that layer with aes(group = Subject) #' boysbox <- boysbox + geom_boxplot() #' boysbox + geom_line(aes(group = Subject), colour = "blue") #' #' # Use the order aesthetic to change stacking order of bar charts #' w <- ggplot(diamonds, aes(clarity, fill = cut)) #' w + geom_bar() #' w + geom_bar(aes(order = desc(cut))) #' #' # Can also be used to change plot order of scatter plots #' d <- ggplot(diamonds, aes(carat, price, colour = cut)) #' d + geom_point() #' d + geom_point(aes(order = sample(seq_along(carat)))) #' } NULL ggplot2/R/stat-bin2d.r0000644000175100001440000000726112114160774014212 0ustar hornikusers#' Count number of observation in rectangular bins. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "bin2d")} #' #' @inheritParams stat_identity #' @param bins numeric vector giving number of bins in both vertical and #' horizontal directions. Set to 30 by default. #' @param drop if \code{TRUE} removes all cells with 0 counts. #' @seealso \code{\link{stat_binhex}} for hexagonal binning #' @export #' @examples #' \donttest{ #' d <- ggplot(diamonds, aes(carat, price)) #' d + stat_bin2d() #' d + geom_bin2d() #' #' # You can control the size of the bins by specifying the number of #' # bins in each direction: #' d + stat_bin2d(bins = 10) #' d + stat_bin2d(bins = 30) #' #' # Or by specifying the width of the bins #' d + stat_bin2d(binwidth = c(1, 1000)) #' d + stat_bin2d(binwidth = c(.1, 500)) #' #' # Or with a list of breaks #' x <- seq(min(diamonds$carat), max(diamonds$carat), by = 0.1) #' y <- seq(min(diamonds$price), max(diamonds$price), length = 50) #' d + stat_bin2d(breaks = list(x = x, y = y)) #' #' # With qplot #' qplot(x, y, data = diamonds, geom="bin2d", #' xlim = c(4, 10), ylim = c(4, 10)) #' qplot(x, y, data = diamonds, geom="bin2d", binwidth = c(0.1, 0.1), #' xlim = c(4, 10), ylim = c(4, 10)) #' } stat_bin2d <- function (mapping = NULL, data = NULL, geom = NULL, position = "identity", bins = 30, drop = TRUE, ...) { StatBin2d$new(mapping = mapping, data = data, geom = geom, position = position, bins = bins, drop = drop, ...) } StatBin2d <- proto(Stat, { objname <- "bin2d" default_aes <- function(.) aes(fill = ..count..) required_aes <- c("x", "y") default_geom <- function(.) GeomRect calculate <- function(., data, scales, binwidth = NULL, bins = 30, breaks = NULL, origin = NULL, drop = TRUE, ...) { range <- list( x = scale_dimension(scales$x, c(0, 0)), y = scale_dimension(scales$y, c(0, 0)) ) # Determine origin, if omitted if (is.null(origin)) { origin <- c(NA, NA) } else { stopifnot(is.numeric(origin)) stopifnot(length(origin) == 2) } originf <- function(x) if (is.integer(x)) -0.5 else min(x, na.rm = TRUE) if (is.na(origin[1])) origin[1] <- originf(data$x) if (is.na(origin[2])) origin[2] <- originf(data$y) # Determine binwidth, if omitted if (is.null(binwidth)) { binwidth <- c(NA, NA) if (is.integer(data$x)) { binwidth[1] <- 1 } else { binwidth[1] <- diff(range$x) / bins } if (is.integer(data$y)) { binwidth[2] <- 1 } else { binwidth[2] <- diff(range$y) / bins } } stopifnot(is.numeric(binwidth)) stopifnot(length(binwidth) == 2) # Determine breaks, if omitted if (is.null(breaks)) { breaks <- list( seq(origin[1], max(range$x) + binwidth[1], binwidth[1]), seq(origin[2], max(range$y) + binwidth[2], binwidth[2]) ) } else { stopifnot(is.list(breaks)) stopifnot(length(breaks) == 2) stopifnot(all(sapply(breaks, is.numeric))) } names(breaks) <- c("x", "y") xbin <- cut(data$x, sort(breaks$x), include.lowest = TRUE) ybin <- cut(data$y, sort(breaks$y), include.lowest = TRUE) if (is.null(data$weight)) data$weight <- 1 counts <- as.data.frame( xtabs(weight ~ xbin + ybin, data), responseName = "count") if (drop) counts <- subset(counts, count > 0) within(counts,{ xint <- as.numeric(xbin) xmin <- breaks$x[xint] xmax <- breaks$x[xint + 1] yint <- as.numeric(ybin) ymin <- breaks$y[yint] ymax <- breaks$y[yint + 1] density <- count / sum(count, na.rm = TRUE) }) } }) ggplot2/R/geom-segment.r0000644000175100001440000000627512114161113014622 0ustar hornikusers#' Single line segments. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "segment")} #' #' @inheritParams geom_point #' @param arrow specification for arrow heads, as created by arrow() #' @param lineend Line end style (round, butt, square) #' @seealso \code{\link{geom_path}} and \code{\link{geom_line}} for multi- #' segment lines and paths. #' @export #' @examples #' library(grid) # needed for arrow function #' p <- ggplot(seals, aes(x = long, y = lat)) #' (p <- p + geom_segment(aes(xend = long + delta_long, yend = lat + delta_lat), arrow = arrow(length = unit(0.1,"cm")))) #' #' if (require("maps")) { #' #' xlim <- range(seals$long) #' ylim <- range(seals$lat) #' usamap <- data.frame(map("world", xlim = xlim, ylim = ylim, plot = #' FALSE)[c("x","y")]) #' usamap <- rbind(usamap, NA, data.frame(map('state', xlim = xlim, ylim #' = ylim, plot = FALSE)[c("x","y")])) #' names(usamap) <- c("long", "lat") #' #' p + geom_path(data = usamap) + scale_x_continuous(limits = xlim) #' } #' #' # You can also use geom_segment to recreate plot(type = "h") : #' counts <- as.data.frame(table(x = rpois(100,5))) #' counts$x <- as.numeric(as.character(counts$x)) #' with(counts, plot(x, Freq, type = "h", lwd = 10)) #' #' qplot(x, Freq, data = counts, geom = "segment", #' yend = 0, xend = x, size = I(10)) #' #' # Adding line segments #' library(grid) # needed for arrow function #' b <- ggplot(mtcars, aes(wt, mpg)) + geom_point() #' b + geom_segment(aes(x = 2, y = 15, xend = 2, yend = 25)) #' b + geom_segment(aes(x = 2, y = 15, xend = 3, yend = 15)) #' b + geom_segment(aes(x = 5, y = 30, xend = 3.5, yend = 25), arrow = arrow(length = unit(0.5, "cm"))) geom_segment <- function (mapping = NULL, data = NULL, stat = "identity", position = "identity", arrow = NULL, lineend = "butt", na.rm = FALSE, ...) { GeomSegment$new(mapping = mapping, data = data, stat = stat, position = position, arrow = arrow, lineend = lineend, na.rm = na.rm, ...) } GeomSegment <- proto(Geom, { objname <- "segment" draw <- function(., data, scales, coordinates, arrow = NULL, lineend = "butt", na.rm = FALSE, ...) { data <- remove_missing(data, na.rm = na.rm, c("x", "y", "xend", "yend", "linetype", "size", "shape"), name = "geom_segment") if (empty(data)) return(zeroGrob()) if (is.linear(coordinates)) { return(with(coord_transform(coordinates, data, scales), segmentsGrob(x, y, xend, yend, default.units="native", gp = gpar(col=alpha(colour, alpha), fill = alpha(colour, alpha), lwd=size * .pt, lty=linetype, lineend = lineend), arrow = arrow) )) } data$group <- 1:nrow(data) starts <- subset(data, select = c(-xend, -yend)) ends <- rename(subset(data, select = c(-x, -y)), c("xend" = "x", "yend" = "y"), warn_missing = FALSE) pieces <- rbind(starts, ends) pieces <- pieces[order(pieces$group),] GeomPath$draw_groups(pieces, scales, coordinates, arrow = arrow, ...) } default_stat <- function(.) StatIdentity required_aes <- c("x", "y", "xend", "yend") default_aes <- function(.) aes(colour="black", size=0.5, linetype=1, alpha = NA) guide_geom <- function(.) "path" }) ggplot2/R/scale-shape.r0000644000175100001440000000217412114160774014426 0ustar hornikusers#' Scale for shapes, aka glyphs. #' #' A continuous variable can not be mapped to shape. #' #' @param solid Are the shapes solid, \code{TRUE}, or hollow \code{FALSE}? #' @inheritParams scale_x_discrete #' @rdname scale_shape #' @export #' @examples #' dsmall <- diamonds[sample(nrow(diamonds), 100), ] #' #' (d <- qplot(carat, price, data=dsmall, shape=cut)) #' d + scale_shape(solid = TRUE) # the default #' d + scale_shape(solid = FALSE) #' d + scale_shape(name="Cut of diamond") #' d + scale_shape(name="Cut of\ndiamond") #' #' # To change order of levels, change order of #' # underlying factor #' levels(dsmall$cut) <- c("Fair", "Good", "Very Good", "Premium", "Ideal") #' #' # Need to recreate plot to pick up new data #' qplot(price, carat, data=dsmall, shape=cut) #' #' # Or for short: #' d %+% dsmall scale_shape <- function(..., solid = TRUE) { discrete_scale("shape", "shape_d", shape_pal(solid), ...) } #' @rdname scale_shape #' @export scale_shape_discrete <- scale_shape #' @rdname scale_shape #' @export scale_shape_continuous <- function(...) { stop("A continuous variable can not be mapped to shape", call. = FALSE) } ggplot2/R/utilities-table.r0000644000175100001440000000224112114160774015334 0ustar hornikuserscompute_grob_widths <- function(grob_layout, widths) { cols <- split(grob_layout, grob_layout$l) do.call("unit.c", lapply(cols, compute_grob_dimensions, dims = widths)) } compute_grob_heights <- function(grob_layout, heights) { cols <- split(grob_layout, grob_layout$t) do.call("unit.c", lapply(cols, compute_grob_dimensions, dims = heights)) } compute_grob_dimensions <- function(grob_layout, dims) { # If any don't have explicit dims, then width is NULL if (!any(grob_layout$type %in% names(dims))) { return(unit(1, "null")) } grob_layout <- subset(grob_layout, type %in% names(dims)) dims <- unique(Map(function(type, pos) { type_width <- dims[[type]] if (length(type_width) == 1) type_width else type_width[pos] }, grob_layout$type, grob_layout$id)) units <- vapply(dims, is.unit, logical(1)) if (all(units)) { if (all(lapply(dims, attr, "unit") == "null")) unit(max(unlist(dims)), "null") else do.call("max", dims) } else { raw_max <- unit(max(unlist(dims[!units])), "cm") if (any(units)) { unit_max <- max(do.call("unit.c", dims[units])) max(raw_max, unit_max) } else { raw_max } } } ggplot2/R/geom-abline.r0000644000175100001440000000713412114160774014421 0ustar hornikusers#' Line specified by slope and intercept. #' #' The abline geom adds a line with specified slope and intercept to the #' plot. #' #' With its siblings \code{geom_hline} and \code{geom_vline}, it's useful for #' annotating plots. You can supply the parameters for geom_abline, #' intercept and slope, in two ways: either explicitly as fixed values, or #' in a data frame. If you specify the fixed values #' (\code{geom_abline(intercept=0, slope=1)}) then the line will be the same #' in all panels. If the intercept and slope are stored in the data, then #' they can vary from panel to panel. See the examples for more ideas. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "abline")} #' #' @seealso \code{\link{stat_smooth}} to add lines derived from the data, #' \code{\link{geom_hline}} for horizontal lines, #' \code{\link{geom_vline}} for vertical lines #' \code{\link{geom_segment}} #' @param show_guide should a legend be drawn? (defaults to \code{FALSE}) #' @inheritParams geom_point #' @export #' @examples #' p <- qplot(wt, mpg, data = mtcars) #' #' # Fixed slopes and intercepts #' p + geom_abline() # Can't see it - outside the range of the data #' p + geom_abline(intercept = 20) #' #' # Calculate slope and intercept of line of best fit #' coef(lm(mpg ~ wt, data = mtcars)) #' p + geom_abline(intercept = 37, slope = -5) #' p + geom_abline(intercept = 10, colour = "red", size = 2) #' #' # See ?stat_smooth for fitting smooth models to data #' p + stat_smooth(method="lm", se=FALSE) #' #' # Slopes and intercepts as data #' p <- ggplot(mtcars, aes(x = wt, y=mpg), . ~ cyl) + geom_point() #' df <- data.frame(a=rnorm(10, 25), b=rnorm(10, 0)) #' p + geom_abline(aes(intercept=a, slope=b), data=df) #' #' # Slopes and intercepts from linear model #' library(plyr) #' coefs <- ddply(mtcars, .(cyl), function(df) { #' m <- lm(mpg ~ wt, data=df) #' data.frame(a = coef(m)[1], b = coef(m)[2]) #' }) #' str(coefs) #' p + geom_abline(data=coefs, aes(intercept=a, slope=b)) #' #' # It's actually a bit easier to do this with stat_smooth #' p + geom_smooth(aes(group=cyl), method="lm") #' p + geom_smooth(aes(group=cyl), method="lm", fullrange=TRUE) #' #' # With coordinate transforms #' p + geom_abline(intercept = 37, slope = -5) + coord_flip() #' p + geom_abline(intercept = 37, slope = -5) + coord_polar() geom_abline <- function (mapping = NULL, data = NULL, stat = "abline", position = "identity", show_guide = FALSE, ...) { GeomAbline$new(mapping = mapping, data = data, stat = stat, position = position, show_guide = show_guide, ...) } GeomAbline <- proto(Geom, { objname <- "abline" new <- function(., mapping = NULL, ...) { mapping <- compact(defaults(mapping, aes(group = 1))) class(mapping) <- "uneval" .super$new(., ..., mapping = mapping, inherit.aes = FALSE) } draw <- function(., data, scales, coordinates, ...) { ranges <- coord_range(coordinates, scales) data$x <- ranges$x[1] data$xend <- ranges$x[2] data$y <- ranges$x[1] * data$slope + data$intercept data$yend <- ranges$x[2] * data$slope + data$intercept GeomSegment$draw(unique(data), scales, coordinates) } guide_geom <- function(.) "abline" default_stat <- function(.) StatAbline default_aes <- function(.) aes(colour="black", size=0.5, linetype=1, alpha = NA) draw_legend <- function(., data, ...) { data <- aesdefaults(data, .$default_aes(), list(...)) with(data, ggname(.$my_name(), segmentsGrob(0, 0, 1, 1, default.units="npc", gp=gpar(col=alpha(colour, alpha), lwd=size * .pt, lty=linetype, lineend="butt"))) ) } }) ggplot2/R/stat-function.r0000644000175100001440000000442312114160774015036 0ustar hornikusers#' Superimpose a function. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "function")} #' #' @param fun function to use #' @param n number of points to interpolate along #' @param args list of additional arguments to pass to \code{fun} #' @inheritParams stat_identity #' @return a data.frame with additional columns: #' \item{x}{x's along a grid} #' \item{y}{value of function evaluated at corresponding x} #' @export #' @examples #' x <- rnorm(100) #' base <- qplot(x, geom = "density") #' base + stat_function(fun = dnorm, colour = "red") #' base + stat_function(fun = dnorm, colour = "red", arg = list(mean = 3)) #' #' # Plot functions without data #' # Examples adapted from Kohske Takahashi #' #' # Specify range of x-axis #' qplot(c(0, 2), stat = "function", fun = exp, geom = "line") #' ggplot(data.frame(x = c(0, 2)), aes(x)) + stat_function(fun = exp) #' # Plot a normal curve #' ggplot(data.frame(x = c(-5, 5)), aes(x)) + stat_function(fun = dnorm) #' # With qplot #' qplot(c(-5, 5), stat = "function", fun = dnorm, geom = "line") #' # Or #' qplot(c(-5, 5), geom = "blank") + stat_function(fun = dnorm) #' # To specify a different mean or sd, use the args parameter to supply new values #' ggplot(data.frame(x = c(-5, 5)), aes(x)) + stat_function(fun = dnorm, args = list(mean = 2, sd = .5)) #' #' # Two functions on the same plot #' f <- ggplot(data.frame(x = c(0, 10)), aes(x)) #' f + stat_function(fun = sin, colour = "red") + stat_function(fun = cos, colour = "blue") #' #' # Using a custom function #' test <- function(x) {x ^ 2 + x + 20} #' f + stat_function(fun = test) stat_function <- function (mapping = NULL, data = NULL, geom = "path", position = "identity", fun, n = 101, args = list(), ...) { StatFunction$new(mapping = mapping, data = data, geom = geom, position = position, fun = fun, n = n, args = args, ...) } StatFunction <- proto(Stat, { objname <- "function" default_geom <- function(.) GeomPath default_aes <- function(.) aes(y = ..y..) calculate <- function(., data, scales, fun, n=101, args = list(), ...) { range <- scale_dimension(scales$x, c(0, 0)) xseq <- seq(range[1], range[2], length=n) data.frame( x = xseq, y = do.call(fun, c(list(xseq), args)) ) } }) ggplot2/R/geom-rect.r0000644000175100001440000000423412114160774014122 0ustar hornikusers#' 2d rectangles. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "rect")} #' #' @inheritParams geom_point #' @export #' @examples #' df <- data.frame( #' x = sample(10, 20, replace = TRUE), #' y = sample(10, 20, replace = TRUE) #' ) #' ggplot(df, aes(xmin = x, xmax = x + 1, ymin = y, ymax = y + 2)) + #' geom_rect() geom_rect <- function (mapping = NULL, data = NULL, stat = "identity", position = "identity", ...) { GeomRect$new(mapping = mapping, data = data, stat = stat, position = position, ...) } GeomRect <- proto(Geom, { objname <- "rect" default_stat <- function(.) StatIdentity default_pos <- function(.) PositionIdentity default_aes <- function(.) aes(colour=NA, fill="grey20", size=0.5, linetype=1, alpha = NA) required_aes <- c("xmin", "xmax", "ymin", "ymax") draw <- draw_groups <- function(., data, scales, coordinates, ...) { if (!is.linear(coordinates)) { aesthetics <- setdiff( names(data), c("x", "y", "xmin","xmax", "ymin", "ymax") ) polys <- alply(data, 1, function(row) { poly <- with(row, rect_to_poly(xmin, xmax, ymin, ymax)) aes <- as.data.frame(row[aesthetics], stringsAsFactors = FALSE)[rep(1,5), ] GeomPolygon$draw(cbind(poly, aes), scales, coordinates) }) ggname("bar",do.call("grobTree", polys)) } else { with(coord_transform(coordinates, data, scales), ggname(.$my_name(), rectGrob( xmin, ymax, width = xmax - xmin, height = ymax - ymin, default.units = "native", just = c("left", "top"), gp=gpar( col=colour, fill=alpha(fill, alpha), lwd=size * .pt, lty=linetype, lineend="butt" ) )) ) } } guide_geom <- function(.) "polygon" }) # Convert rectangle to polygon # Useful for non-Cartesian coordinate systems where it's easy to work purely in terms of locations, rather than locations and dimensions. # # @keyword internal rect_to_poly <- function(xmin, xmax, ymin, ymax) { data.frame( y = c(ymax, ymax, ymin, ymin, ymax), x = c(xmin, xmax, xmax, xmin, xmin) ) } ggplot2/R/scale-size.r0000644000175100001440000000377512114161113014274 0ustar hornikusers#' Size scale. #' #' @name scale_size #' @inheritParams scale_x_continuous #' @param range a numeric vector of length 2 that specifies the minimum and #' maximum size of the plotting symbol after transformation. #' @examples #' \donttest{ #' (p <- qplot(mpg, cyl, data=mtcars, size=cyl)) #' p + scale_size("cylinders") #' p + scale_size("number\nof\ncylinders") #' #' p + scale_size(range = c(0, 10)) #' p + scale_size(range = c(1, 2)) #' #' # Map area, instead of width/radius #' # Perceptually, this is a little better #' p + scale_area() #' p + scale_area(range = c(1, 25)) #' #' # Also works with factors, but not a terribly good #' # idea, unless your factor is ordered, as in this example #' qplot(mpg, cyl, data=mtcars, size=factor(cyl)) #' #' # To control the size mapping for discrete variable, use #' # scale_size_manual: #' last_plot() + scale_size_manual(values=c(2,4,6)) #' } NULL #' @rdname scale_size #' @export scale_size_continuous <- function(..., range = c(1, 6)) { continuous_scale("size", "size_c", rescale_pal(range), ...) } #' @rdname scale_size #' @export scale_size <- scale_size_continuous #' @rdname scale_size #' @export scale_size_discrete <- function(..., range = c(1, 6)) { discrete_scale("size", "size_d", function(n) seq(range[1], range[2], length = n), ...) } #' Scale area instead of radius, for size. #' #' When \code{scale_size_area} is used, the default behavior is to scale the #' area of points to be proportional to the value. #' #' Note that this controls the size scale, so it will also control #' the thickness of lines. Line thickness will be proportional to the square #' root of the value, which is probably undesirable in most cases. #' #' @param ... Other arguments passed on to \code{\link{continuous_scale}} #' to control name, limits, breaks, labels and so forth. #' @param max_size Size of largest points. #' @export scale_size_area <- function(..., max_size = 6) { continuous_scale("size", "area", palette = abs_area(max_size), rescaler = rescale_max, ...) } ggplot2/R/aaa-.r0000644000175100001440000000304112114160774013032 0ustar hornikusers# INCLUDES <- "web/graphics" # FILETYPE <- "html" # Upper case first letter of string # This comes from the examples of some R function. # # @keyword internal firstUpper <- function(s) { paste(toupper(substring(s, 1,1)), substring(s, 2), sep="") } TopLevel <- proto(expr = { find_all <- function(., only.documented = FALSE) { names <- ls(pattern=paste("^", firstUpper(.$class()), "[A-Z].+", sep=""), parent.env(TopLevel)) objs <- structure(lapply(names, get), names=names) if (only.documented) objs <- objs[sapply(objs, function(x) get("doc", x))] objs } find <- function(., name) { fullname <- paste(firstUpper(.$class()), firstUpper(name), sep="") if (!exists(fullname)) { stop("No ", .$class(), " called ", name, call.=FALSE) } get(fullname) } my_name <- function(., prefix=TRUE) { if (!prefix) return(.$objname) paste(.$class(), .$objname, sep="_") } my_names <- function(.) .$my_name() myName <- function(.) { ps(firstUpper(.$class()), ps(firstUpper(strsplit(.$objname, "_")[[1]]))) } params <- function(.) { param <- .$parameters() if (length(param) == 0) return() if(!exists("required_aes", .)) return(param) aesthetics <- c(.$required_aes, names(.$default_aes())) param[setdiff(names(param), aesthetics)] } }) #' @S3method print proto print.proto <- function(x, ...) x$pprint(...) pprint <- function(x, ...) print(as.list(x), ...) # name.proto <- function (...) { # proto(print.proto = print.default, f = proto::name.proto)$f(...) # } ggplot2/R/aes-position.r0000644000175100001440000000350612114160774014653 0ustar hornikusers#' Position related aesthetics: x, y, xmin, xmax, ymin, ymax, xend, yend #' #' This page demonstrates the usage of a sub-group #' of aesthetics; x, y, xmin, xmax, ymin, ymax, xend, and yend. #' #' @name aes_position #' @aliases x y xmin xmax ymin ymax xend yend #' @examples #' #' # Generate data: means and standard errors of means for prices #' # for each type of cut #' dmod <- lm(price ~ cut, data = diamonds) #' cuts <- data.frame(cut = unique(diamonds$cut), predict(dmod, data.frame(cut = #' unique(diamonds$cut)), se = TRUE)[c("fit", "se.fit")]) #' se <- ggplot(cuts, aes(x = cut, y = fit, ymin = fit - se.fit, #' ymax = fit + se.fit, colour = cut)) #' se + geom_pointrange() #' #' # Boxplot with precomputed statistics #' # generate sample data #' library(plyr) #' abc <- adply(matrix(rnorm(100), ncol = 5), 2, quantile, c(0, .25, .5, .75, 1)) #' b <- ggplot(abc, aes(x = X1, ymin = "0%", lower = "25%", middle = "50%", upper = "75%", ymax = "100%")) #' b + geom_boxplot(stat = "identity") #' #' # Using annotate #' p <- ggplot(mtcars, aes(wt, mpg)) + geom_point() #' p + annotate("rect", xmin = 2, xmax = 3.5, ymin = 2, ymax = 25, fill = "dark grey", alpha = .5) #' #' # Geom_segment examples #' library(grid) #' p + geom_segment(aes(x = 2, y = 15, xend = 2, yend = 25), arrow = arrow(length = unit(0.5, "cm"))) #' p + geom_segment(aes(x = 2, y = 15, xend = 3, yend = 15), arrow = arrow(length = unit(0.5, "cm"))) #' p + geom_segment(aes(x = 5, y = 30, xend = 3.5, yend = 25), arrow = arrow(length = unit(0.5, "cm"))) #' #' # You can also use geom_segment to recreate plot(type = "h") : #' counts <- as.data.frame(table(x = rpois(100, 5))) #' counts$x <- as.numeric(as.character(counts$x)) #' with(counts, plot(x, Freq, type = "h", lwd = 10)) #' #' qplot(x, Freq, data = counts, geom = "segment", yend = 0, xend = x, size = I(10)) NULL ggplot2/R/zzz.r0000644000175100001440000000076212114160774013077 0ustar hornikusers.onAttach <- function(...) { if (!interactive() || stats::runif(1) > 0.1) return() tips <- c( "Need help? Try the ggplot2 mailing list: http://groups.google.com/group/ggplot2.", paste("Find out what's changed in ggplot2 with\n", "news(Version == \"", utils::packageVersion("ggplot2"), "\", package = \"ggplot2\")", sep = ""), "Use suppressPackageStartupMessages to eliminate package startup messages." ) tip <- sample(tips, 1) packageStartupMessage(tip) } ggplot2/R/position-identity.r0000644000175100001440000000066112114160774015733 0ustar hornikusers#' Don't adjust position #' #' @param width Manually specify width (does not affect all position #' adjustments) #' @param height Manually specify height (does not affect all position #' adjustments) #' @family position adjustments #' @export position_identity <- function (width = NULL, height = NULL) { PositionIdentity$new(width = width, height = height) } PositionIdentity <- proto(Position, { objname <- "identity" }) ggplot2/R/scale-area.r0000644000175100001440000000161612114161113014222 0ustar hornikusers#' Scale area instead of radius (for size). #' #' \code{\link{scale_area}} is deprecated and will be removed in a future #' version of ggplot2. Use \code{\link{scale_size_area}} instead. Note that the #' default behavir of \code{\link{scale_size_area}} is slightly different: by #' default, it makes the area proportional to the numeric value. #' #' @param ... Other arguments passed on to \code{\link{continuous_scale}} #' to control name, limits, breaks, labels and so forth. #' @param range Range of output sizes. Should be greater than 0. #' @export scale_area <- function(..., range = c(1, 6)) { gg_dep("0.9.2", paste(sep = "\n", "scale_area is deprecated. Use scale_size_area instead.", " Note that the behavior of scale_size_area is slightly different:", " by default it makes the area proportional to the numeric value.")) continuous_scale("size", "area", area_pal(range), ...) } ggplot2/R/facet-viewports.r0000644000175100001440000000257512114160774015370 0ustar hornikusers# Assign viewports to a matrix of grobs # # Uses the structure (and names) of the matrix of grobs, to automatically # assign each grob to the appropriate viewport assign_viewports <- function(grobs) { make_grid <- function(type) { data.frame( type = type, x = c(row(grobs[[type]])), y = c(col(grobs[[type]])) ) } assign_vp <- function(type, x, y) { ggname(type, editGrob(grobs[[type]][[x, y]], vp = vp_path(x, y, type))) } grid <- ldply(names(grobs), make_grid) mlply(grid, assign_vp) } # Setup matrix of viewports for a layout with given parameters setup_viewports <- function(type, data, offset = c(0,0), clip = "on") { rows <- nrow(data) cols <- ncol(data) vp <- function(x,y) { # cat(vp_name(x, y, type), ": ", x + offset[1], ", ", y + offset[2], "\n", sep="") viewport( name = vp_name(x, y, type), layout.pos.row = x + offset[1], layout.pos.col = y + offset[2], clip=clip ) } pos <- expand.grid(x = seq_len(rows), y= seq_len(cols)) do.call("vpList", mlply(pos, vp)) } # Calculate viewport path. # Helps ensure a common naming scheme throughout ggplot. vp_path <- function(row, col, type) { vpPath("panels", vp_name(row, col, type)) } # Compute viewport name. # Helps ensure a common naming scheme throughout ggplot. vp_name <- function(row, col, type) { paste(type, row, col, sep="_") } ggplot2/R/plot-last.r0000644000175100001440000000061712114160774014160 0ustar hornikusers.plot_store <- function() { .last_plot <- NULL list( get = function() .last_plot, set = function(value) .last_plot <<- value ) } .store <- .plot_store() # Set last plot created or modified set_last_plot <- function(value) .store$set(value) #' Retrieve the last plot to be modified or created. #' #' @seealso \code{\link{ggsave}} #' @export last_plot <- function() .store$get() ggplot2/R/geom-boxplot.r0000644000175100001440000001630112114161113014636 0ustar hornikusers#' Box and whiskers plot. #' #' The upper and lower "hinges" correspond to the first and third quartiles #' (the 25th and 75th percentiles). This differs slightly from the method used #' by the \code{boxplot} function, and may be apparent with small samples. #' See \code{\link{boxplot.stats}} for for more information on how hinge #' positions are calculated for \code{boxplot}. #' #' The upper whisker extends from the hinge to the highest value that is within #' 1.5 * IQR of the hinge, where IQR is the inter-quartile range, or distance #' between the first and third quartiles. The lower whisker extends from the #' hinge to the lowest value within 1.5 * IQR of the hinge. Data beyond the #' end of the whiskers are outliers and plotted as points (as specified by Tukey). #' #' In a notched box plot, the notches extend \code{1.58 * IQR / sqrt(n)}. #' This gives a roughly 95% confidence interval for comparing medians. #' See McGill et al. (1978) for more details. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "boxplot")} #' #' @seealso \code{\link{stat_quantile}} to view quantiles conditioned on a #' continuous variable, \code{\link{geom_jitter}} for another way to look #' at conditional distributions" #' @inheritParams geom_point #' @param outlier.colour colour for outlying points #' @param outlier.shape shape of outlying points #' @param outlier.size size of outlying points #' @param notch if \code{FALSE} (default) make a standard box plot. If #' \code{TRUE}, make a notched box plot. Notches are used to compare groups; #' if the notches of two boxes do not overlap, this is strong evidence that #' the medians differ. #' @param notchwidth for a notched box plot, width of the notch relative to #' the body (default 0.5) #' @export #' #' @references McGill, R., Tukey, J. W. and Larsen, W. A. (1978) Variations of #' box plots. The American Statistician 32, 12-16. #' #' @examples #' \donttest{ #' p <- ggplot(mtcars, aes(factor(cyl), mpg)) #' #' p + geom_boxplot() #' qplot(factor(cyl), mpg, data = mtcars, geom = "boxplot") #' #' p + geom_boxplot() + geom_jitter() #' p + geom_boxplot() + coord_flip() #' qplot(factor(cyl), mpg, data = mtcars, geom = "boxplot") + #' coord_flip() #' #' p + geom_boxplot(notch = TRUE) #' p + geom_boxplot(notch = TRUE, notchwidth = .3) #' #' p + geom_boxplot(outlier.colour = "green", outlier.size = 3) #' #' # Add aesthetic mappings #' # Note that boxplots are automatically dodged when any aesthetic is #' # a factor #' p + geom_boxplot(aes(fill = cyl)) #' p + geom_boxplot(aes(fill = factor(cyl))) #' p + geom_boxplot(aes(fill = factor(vs))) #' p + geom_boxplot(aes(fill = factor(am))) #' #' # Set aesthetics to fixed value #' p + geom_boxplot(fill = "grey80", colour = "#3366FF") #' qplot(factor(cyl), mpg, data = mtcars, geom = "boxplot", #' colour = I("#3366FF")) #' #' # Scales vs. coordinate transforms ------- #' # Scale transformations occur before the boxplot statistics are computed. #' # Coordinate transformations occur afterwards. Observe the effect on the #' # number of outliers. #' library(plyr) # to access round_any #' m <- ggplot(movies, aes(y = votes, x = rating, #' group = round_any(rating, 0.5))) #' m + geom_boxplot() #' m + geom_boxplot() + scale_y_log10() #' m + geom_boxplot() + coord_trans(y = "log10") #' m + geom_boxplot() + scale_y_log10() + coord_trans(y = "log10") #' #' # Boxplots with continuous x: #' # Use the group aesthetic to group observations in boxplots #' qplot(year, budget, data = movies, geom = "boxplot") #' qplot(year, budget, data = movies, geom = "boxplot", #' group = round_any(year, 10, floor)) #' #' # Using precomputed statistics #' # generate sample data #' abc <- adply(matrix(rnorm(100), ncol = 5), 2, quantile, c(0, .25, .5, .75, 1)) #' b <- ggplot(abc, aes(x = X1, ymin = `0%`, lower = `25%`, middle = `50%`, upper = `75%`, ymax = `100%`)) #' b + geom_boxplot(stat = "identity") #' b + geom_boxplot(stat = "identity") + coord_flip() #' b + geom_boxplot(aes(fill = X1), stat = "identity") #' } geom_boxplot <- function (mapping = NULL, data = NULL, stat = "boxplot", position = "dodge", outlier.colour = "black", outlier.shape = 16, outlier.size = 2, notch = FALSE, notchwidth = .5, ...) { GeomBoxplot$new(mapping = mapping, data = data, stat = stat, position = position, outlier.colour = outlier.colour, outlier.shape = outlier.shape, outlier.size = outlier.size, notch = notch, notchwidth = notchwidth, ...) } GeomBoxplot <- proto(Geom, { objname <- "boxplot" reparameterise <- function(., df, params) { df$width <- df$width %||% params$width %||% (resolution(df$x, FALSE) * 0.9) if (!is.null(df$outliers)) { suppressWarnings({ out_min <- vapply(df$outliers, min, numeric(1)) out_max <- vapply(df$outliers, max, numeric(1)) }) df$ymin_final <- pmin(out_min, df$ymin) df$ymax_final <- pmax(out_max, df$ymax) } transform(df, xmin = x - width / 2, xmax = x + width / 2, width = NULL ) } draw <- function(., data, ..., fatten = 2, outlier.colour = NULL, outlier.shape = NULL, outlier.size = 2, notch = FALSE, notchwidth = .5) { common <- data.frame( colour = data$colour, size = data$size, linetype = data$linetype, fill = alpha(data$fill, data$alpha), group = data$group, stringsAsFactors = FALSE ) whiskers <- data.frame( x = data$x, xend = data$x, y = c(data$upper, data$lower), yend = c(data$ymax, data$ymin), alpha = NA, common) box <- data.frame( xmin = data$xmin, xmax = data$xmax, ymin = data$lower, y = data$middle, ymax = data$upper, ynotchlower = ifelse(notch, data$notchlower, NA), ynotchupper = ifelse(notch, data$notchupper, NA), notchwidth = notchwidth, alpha = data$alpha, common) if (!is.null(data$outliers) && length(data$outliers[[1]] >= 1)) { outliers <- data.frame( y = data$outliers[[1]], x = data$x[1], colour = outlier.colour %||% data$colour[1], shape = outlier.shape %||% data$shape[1], size = outlier.size %||% data$size[1], fill = NA, alpha = NA, stringsAsFactors = FALSE) outliers_grob <- GeomPoint$draw(outliers, ...) } else { outliers_grob <- NULL } ggname(.$my_name(), grobTree( outliers_grob, GeomSegment$draw(whiskers, ...), GeomCrossbar$draw(box, fatten = fatten, ...) )) } guide_geom <- function(.) "boxplot" draw_legend <- function(., data, ...) { data <- aesdefaults(data, .$default_aes(), list(...)) gp <- with(data, gpar(col=colour, fill=alpha(fill, alpha), lwd=size * .pt, lty = linetype)) gTree(gp = gp, children = gList( linesGrob(0.5, c(0.1, 0.25)), linesGrob(0.5, c(0.75, 0.9)), rectGrob(height=0.5, width=0.75), linesGrob(c(0.125, 0.875), 0.5) )) } default_stat <- function(.) StatBoxplot default_pos <- function(.) PositionDodge default_aes <- function(.) aes(weight=1, colour="grey20", fill="white", size=0.5, alpha = NA, shape = 16, linetype = "solid") required_aes <- c("x", "lower", "upper", "middle", "ymin", "ymax") }) ggplot2/R/position-jitter.r0000644000175100001440000000330012114160774015374 0ustar hornikusers#' Jitter points to avoid overplotting. #' #' @family position adjustments #' @param width degree of jitter in x direction. Defaults to 40\% of the #' resolution of the data. #' @param height degree of jitter in y direction. Defaults to 40\% of the #' resolution of the data #' @export #' @examples #' qplot(am, vs, data = mtcars) #' #' # Default amount of jittering will generally be too much for #' # small datasets: #' qplot(am, vs, data = mtcars, position = "jitter") #' # Control the amount as follows #' qplot(am, vs, data = mtcars, position = position_jitter(w = 0.1, h = 0.1)) #' #' # With ggplot #' ggplot(mtcars, aes(x = am, y = vs)) + geom_point(position = "jitter") #' ggplot(mtcars, aes(x = am, y = vs)) + geom_point(position = position_jitter(w = 0.1, h = 0.1)) #' #' # The default works better for large datasets, where it will #' # take up as much space as a boxplot or a bar #' qplot(class, hwy, data = mpg, geom = c("boxplot", "jitter")) position_jitter <- function (width = NULL, height = NULL) { PositionJitter$new(width = width, height = height) } PositionJitter <- proto(Position, { objname <- "jitter" adjust <- function(., data) { if (empty(data)) return(data.frame()) check_required_aesthetics(c("x", "y"), names(data), "position_jitter") if (is.null(.$width)) .$width <- resolution(data$x, zero = FALSE) * 0.4 if (is.null(.$height)) .$height <- resolution(data$y, zero = FALSE) * 0.4 trans_x <- NULL trans_y <- NULL if(.$width > 0) { trans_x <- function(x) jitter(x, amount = .$width) } if(.$height > 0) { trans_y <- function(x) jitter(x, amount = .$height) } transform_position(data, trans_x, trans_y) } }) ggplot2/R/bench.r0000644000175100001440000000132412114160774013314 0ustar hornikusers#' Benchmark plot creation time. #' Broken down into construct, build, render and draw times. #' #' @param x code to create ggplot2 plot #' @export #' @keywords internal #' @examples #' benchplot(qplot(mpg, wt, data = mtcars)) #' benchplot(qplot(mpg, wt, data = mtcars) + facet_grid(.~ cyl)) benchplot <- function(x) { construct <- system.time(force(x)) stopifnot(inherits(x, "ggplot")) build <- system.time(data <- ggplot_build(x)) render <- system.time(grob <- ggplot_gtable(data)) draw <- system.time(grid.draw(grob)) times <- rbind(construct, build, render, draw)[, 1:3] unrowname(data.frame( step = c("construct", "build", "render", "draw", "TOTAL"), rbind(times, colSums(times)))) } ggplot2/R/utilities-help.r0000644000175100001440000000164612114161113015171 0ustar hornikusersaesthetics <- function(x) { req_aes <- x$required_aes def_aes <- names(x$default_aes()) def_aes <- setdiff(def_aes, req_aes) if (length(req_aes) == 0){ # Suppress warnings which occur when sorting NULL return(suppressWarnings(sort(names(x$default_aes())))) } if (length(def_aes) == 0){ return(paste("\\strong{", sort(x$required_aes), "}",sep = "")) } return(c(paste("\\strong{", sort(x$required_aes), "}", sep = ""), sort(def_aes))) } geom_aesthetics <- function(x) { aesthetics(Geom$find(x)) } stat_aesthetics <- function(x) { aesthetics(Stat$find(x)) } rd_aesthetics <- function(type, name) { obj <- get(firstUpper(type)) aes <- aesthetics(obj$find(name)) paste("\\code{", type, "_", name, "} ", "understands the following aesthetics (required aesthetics are in bold):\n\n", "\\itemize{\n", paste(" \\item \\code{", aes, "}", collapse = "\n", sep = ""), "\n}\n", sep = "") } ggplot2/R/stat-vline.r0000644000175100001440000000715512114160774014333 0ustar hornikusers#' Add a line with slope and intercept. #' #' @keywords internal #' @inheritParams stat_identity #' @seealso \code{\link{geom_abline}} for code examples. #' @export #' @examples #' # see geom_abline stat_abline <- function (mapping = NULL, data = NULL, geom = "abline", position = "identity", ...) { StatAbline$new(mapping = mapping, data = data, geom = geom, position = position, ...) } StatAbline <- proto(Stat, { objname <- "abline" calculate <- function(., data, scales, intercept = NULL, slope = NULL, ...) { if (is.null(intercept)) { if (is.null(data$intercept)) data$intercept <- 0 } else { data <- data[rep(1, length(intercept)), , drop = FALSE] data$intercept <- intercept } if (is.null(slope)) { if (is.null(data$slope)) data$slope <- 1 } else { data <- data[rep(1, length(slope)), , drop = FALSE] data$slope <- slope } unique(data) } default_geom <- function(.) GeomAbline }) #' Add a vertical line #' #' @keywords internal #' @inheritParams stat_identity #' @seealso \code{\link{geom_vline}} for code examples. #' @export #' @examples #' # see geom_vline stat_vline <- function (mapping = NULL, data = NULL, geom = "vline", position = "identity", xintercept, ...) { StatVline$new(mapping = mapping, data = data, geom = geom, position = position, xintercept = xintercept, ...) } StatVline <- proto(Stat, { objname <- "vline" calculate <- function(., data, scales, xintercept = NULL, intercept, ...) { if (!missing(intercept)) { stop("stat_vline now uses xintercept instead of intercept") } data <- compute_intercept(data, xintercept, "x") unique(within(data, { x <- xintercept xend <- xintercept })) } required_aes <- c() default_geom <- function(.) GeomVline }) #' Add a horizontal line #' #' @keywords internal #' @inheritParams stat_identity #' @seealso \code{\link{geom_hline}} for code examples. #' @export #' @examples #' # see geom_hline stat_hline <- function (mapping = NULL, data = NULL, geom = "hline", position = "identity", yintercept, ...) { StatHline$new(mapping = mapping, data = data, geom = geom, position = position, yintercept = yintercept, ...) } StatHline <- proto(Stat, { calculate <- function(., data, scales, yintercept = NULL, intercept, ...) { if (!missing(intercept)) { stop("stat_hline now uses yintercept instead of intercept") } data <- compute_intercept(data, yintercept, "y") unique(within(data, { y <- yintercept yend <- yintercept })) } objname <- "hline" desc <- "Add a horizontal line" required_aes <- c() default_geom <- function(.) GeomHline examples <- function(.) { # See geom_hline for examples } }) # Compute intercept for vline and hline from data and parameters # # @keyword internal compute_intercept <- function(data, intercept, var = "x") { ivar <- paste(var, "intercept", sep = "") if (is.null(intercept)) { # Intercept comes from data, default to 0 if not set if (is.null(data[[ivar]])) data[[ivar]] <- 0 } else if (is.numeric(intercept)) { # Intercept is a numeric vector of positions data <- data[rep(1, length(intercept)), ] data[[ivar]] <- intercept } else if (is.character(intercept) || is.function(intercept)) { # Intercept is a function f <- match.fun(intercept) trans <- function(data) { data[[ivar]] <- f(data[[var]]) data } data <- ddply(data, .(group), trans) } else { stop("Invalid intercept type: should be a numeric vector, a function", ", or a name of a function", call. = FALSE) } data } ggplot2/R/stat-bin.r0000644000175100001440000001257512114161113013754 0ustar hornikusers#' Bin data. #' #' Missing values are currently silently dropped. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "bin")} #' #' @inheritParams stat_identity #' @param binwidth Bin width to use. Defaults to 1/30 of the range of the #' data #' @param breaks Actual breaks to use. Overrides bin width and origin #' @param origin Origin of first bin #' @param width Width of bars when used with categorical data #' @param right If \code{TRUE}, right-closed, left-open, if \code{FALSE}, #" the default, right-open, left-closed. #' @param drop If TRUE, remove all bins with zero counts #' @return New data frame with additional columns: #' \item{count}{number of points in bin} #' \item{density}{density of points in bin, scaled to integrate to 1} #' \item{ncount}{count, scaled to maximum of 1} #' \item{ndensity}{density, scaled to maximum of 1} #' @export #' @examples #' \donttest{ #' simple <- data.frame(x = rep(1:10, each = 2)) #' base <- ggplot(simple, aes(x)) #' # By default, right = TRUE, and intervals are of the form (a, b] #' base + stat_bin(binwidth = 1, drop = FALSE, right = TRUE, col = "black") #' # If right = FALSE intervals are of the form [a, b) #' base + stat_bin(binwidth = 1, drop = FALSE, right = FALSE, col = "black") #' #' m <- ggplot(movies, aes(x=rating)) #' m + stat_bin() #' m + stat_bin(binwidth=0.1) #' m + stat_bin(breaks=seq(4,6, by=0.1)) #' # See geom_histogram for more histogram examples #' #' # To create a unit area histogram, use aes(y = ..density..) #' (linehist <- m + stat_bin(aes(y = ..density..), binwidth=0.1, #' geom="line", position="identity")) #' linehist + stat_density(colour="blue", fill=NA) #' #' # Also works with categorical variables #' ggplot(movies, aes(x=mpaa)) + stat_bin() #' qplot(mpaa, data=movies, stat="bin") #' } stat_bin <- function (mapping = NULL, data = NULL, geom = "bar", position = "stack", width = 0.9, drop = FALSE, right = FALSE, binwidth = NULL, origin = NULL, breaks = NULL, ...) { StatBin$new(mapping = mapping, data = data, geom = geom, position = position, width = width, drop = drop, right = right, binwidth = binwidth, origin = origin, breaks = breaks, ...) } StatBin <- proto(Stat, { objname <- "bin" informed <- FALSE calculate_groups <- function(., data, ...) { if (!is.null(data$y) || !is.null(match.call()$y)) { # Deprecate this behavior gg_dep("0.9.2", paste(sep = "\n", "Mapping a variable to y and also using stat=\"bin\".", " With stat=\"bin\", it will attempt to set the y value to the count of cases in each group.", " This can result in unexpected behavior and will not be allowed in a future version of ggplot2.", " If you want y to represent counts of cases, use stat=\"bin\" and don't map a variable to y.", " If you want y to represent values in the data, use stat=\"identity\".", " See ?geom_bar for examples.")) } .$informed <- FALSE .super$calculate_groups(., data, ...) } calculate <- function(., data, scales, binwidth=NULL, origin=NULL, breaks=NULL, width=0.9, drop = FALSE, right = FALSE, ...) { range <- scale_dimension(scales$x, c(0, 0)) if (is.null(breaks) && is.null(binwidth) && !is.integer(data$x) && !.$informed) { message("stat_bin: binwidth defaulted to range/30. Use 'binwidth = x' to adjust this.") .$informed <- TRUE } bin(data$x, data$weight, binwidth=binwidth, origin=origin, breaks=breaks, range=range, width=width, drop = drop, right = right) } default_aes <- function(.) aes(y = ..count..) required_aes <- c("x") default_geom <- function(.) GeomBar }) bin <- function(x, weight=NULL, binwidth=NULL, origin=NULL, breaks=NULL, range=NULL, width=0.9, drop = FALSE, right = TRUE) { if (length(na.omit(x)) == 0) return(data.frame()) if (is.null(weight)) weight <- rep(1, length(x)) weight[is.na(weight)] <- 0 if (is.null(range)) range <- range(x, na.rm = TRUE, finite=TRUE) if (is.null(binwidth)) binwidth <- diff(range) / 30 if (is.integer(x)) { bins <- x x <- sort(unique(bins)) width <- width } else if (diff(range) == 0) { width <- width bins <- x } else { # if (is.numeric(x)) if (is.null(breaks)) { if (is.null(origin)) { breaks <- fullseq(range, binwidth, pad = TRUE) } else { breaks <- seq(origin, max(range) + binwidth, binwidth) } } # Adapt break fuzziness from base::hist - this protects from floating # point rounding errors diddle <- 1e-07 * stats::median(diff(breaks)) if (right) { fuzz <- c(-diddle, rep.int(diddle, length(breaks) - 1)) } else { fuzz <- c(rep.int(-diddle, length(breaks) - 1), diddle) } fuzzybreaks <- sort(breaks) + fuzz bins <- cut(x, fuzzybreaks, include.lowest=TRUE, right = right) left <- breaks[-length(breaks)] right <- breaks[-1] x <- (left + right)/2 width <- diff(breaks) } results <- data.frame( count = as.numeric(tapply(weight, bins, sum, na.rm=TRUE)), x = x, width = width ) if (sum(results$count, na.rm = TRUE) == 0) { return(results) } res <- within(results, { count[is.na(count)] <- 0 density <- count / width / sum(abs(count), na.rm=TRUE) ncount <- count / max(abs(count), na.rm=TRUE) ndensity <- density / max(abs(density), na.rm=TRUE) }) if (drop) res <- subset(res, count > 0) res } ggplot2/R/position-fill.r0000644000175100001440000000222312114160774015024 0ustar hornikusers#' Stack overlapping objects on top of one another, and standardise to have #' equal height. #' #' @inheritParams position_identity #' @family position adjustments #' @seealso See \code{\link{geom_bar}} and \code{\link{geom_area}} for #' more examples. #' @export #' @examples #' \donttest{ #' # See ?geom_bar and ?geom_area for more examples #' ggplot(mtcars, aes(x=factor(cyl), fill=factor(vs))) + #' geom_bar(position="fill") #' #' cde <- geom_histogram(position="fill", binwidth = 500) #' #' ggplot(diamonds, aes(x=price)) + cde #' ggplot(diamonds, aes(x=price, fill=cut)) + cde #' ggplot(diamonds, aes(x=price, fill=clarity)) + cde #' ggplot(diamonds, aes(x=price, fill=color)) + cde #' } position_fill <- function (width = NULL, height = NULL) { PositionFill$new(width = width, height = height) } PositionFill <- proto(Position, { objname <- "fill" adjust <- function(., data) { if (empty(data)) return(data.frame()) check_required_aesthetics(c("x", "ymax"), names(data), "position_fill") if (!all(data$ymin == 0)) warning("Filling not well defined when ymin != 0") collide(data, .$width, .$my_name(), pos_fill) } }) ggplot2/R/scale-brewer.r0000644000175100001440000000247212114160774014615 0ustar hornikusers#' Sequential, diverging and qualitative colour scales from colorbrewer.org #' #' See \url{http://colorbrewer2.org} for more information. #' #' @inheritParams scales::brewer_pal #' @inheritParams scale_colour_hue #' @family colour scales #' @rdname scale_brewer #' @export #' @examples #' dsamp <- diamonds[sample(nrow(diamonds), 1000), ] #' (d <- qplot(carat, price, data=dsamp, colour=clarity)) #' #' # Change scale label #' d + scale_colour_brewer() #' d + scale_colour_brewer("clarity") #' d + scale_colour_brewer(expression(clarity[beta])) #' #' # Select brewer palette to use, see ?scales::brewer_pal for more details #' d + scale_colour_brewer(type="seq") #' d + scale_colour_brewer(type="seq", palette=3) #' #' d + scale_colour_brewer(palette="Blues") #' d + scale_colour_brewer(palette="Set1") #' #' # scale_fill_brewer works just the same as #' # scale_colour_brewer but for fill colours #' ggplot(diamonds, aes(x=price, fill=cut)) + #' geom_histogram(position="dodge", binwidth=1000) + #' scale_fill_brewer() scale_colour_brewer <- function(..., type = "seq", palette = 1) { discrete_scale("colour", "brewer", brewer_pal(type, palette), ...) } #' @export #' @rdname scale_brewer scale_fill_brewer <- function(..., type = "seq", palette = 1) { discrete_scale("fill", "brewer", brewer_pal(type, palette), ...) } ggplot2/R/grob-absolute.r0000644000175100001440000000202112114160774014775 0ustar hornikusers#' Absolute grob #' #' This grob has fixed dimesions and position. #' #' It's still experimental #' #' @S3method grobHeight absoluteGrob #' @S3method grobWidth absoluteGrob #' @S3method grobX absoluteGrob #' @S3method grobY absoluteGrob #' @S3method grid.draw absoluteGrob #' @keywords internal absoluteGrob <- function(grob, width = NULL, height = NULL, xmin = NULL, ymin = NULL, vp = NULL) { gTree( children = grob, width = width, height = height, xmin = xmin, ymin = ymin, vp = vp, cl="absoluteGrob" ) } grobHeight.absoluteGrob <- function(x) { x$height %||% grobHeight(x$children) } grobWidth.absoluteGrob <- function(x) { x$width %||% grobWidth(x$children) } grobX.absoluteGrob <- function(x, theta) { if (!is.null(x$xmin) && theta == "west") return(x$xmin) grobX(x$children, theta) } grobY.absoluteGrob <- function(x, theta) { if (!is.null(x$ymin) && theta == "south") return(x$ymin) grobY(x$children, theta) } grid.draw.absoluteGrob <- function(x, recording = TRUE) { grid:::drawGTree(x) } ggplot2/R/geom-error.r0000644000175100001440000000600212114160774014311 0ustar hornikusers#' Error bars. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "errorbar")} #' #' @seealso \code{\link{geom_pointrange}}: range indicated by straight line, #' with point in the middle; \code{\link{geom_linerange}}: range indicated #' by straight line; \code{\link{geom_crossbar}}: hollow bar with middle #' indicated by horizontal line; \code{\link{stat_summary}}: examples of #' these guys in use, \code{\link{geom_smooth}} for continuous analog #' @inheritParams geom_point #' @export #' @examples #' # Create a simple example dataset #' df <- data.frame( #' trt = factor(c(1, 1, 2, 2)), #' resp = c(1, 5, 3, 4), #' group = factor(c(1, 2, 1, 2)), #' se = c(0.1, 0.3, 0.3, 0.2) #' ) #' df2 <- df[c(1,3),] #' #' # Define the top and bottom of the errorbars #' limits <- aes(ymax = resp + se, ymin=resp - se) #' #' p <- ggplot(df, aes(fill=group, y=resp, x=trt)) #' p + geom_bar(position="dodge", stat="identity") #' #' # Because the bars and errorbars have different widths #' # we need to specify how wide the objects we are dodging are #' dodge <- position_dodge(width=0.9) #' p + geom_bar(position=dodge) + geom_errorbar(limits, position=dodge, width=0.25) #' #' p <- ggplot(df2, aes(fill=group, y=resp, x=trt)) #' p + geom_bar(position=dodge) #' p + geom_bar(position=dodge) + geom_errorbar(limits, position=dodge, width=0.25) #' #' p <- ggplot(df, aes(colour=group, y=resp, x=trt)) #' p + geom_point() + geom_errorbar(limits, width=0.2) #' p + geom_pointrange(limits) #' p + geom_crossbar(limits, width=0.2) #' #' # If we want to draw lines, we need to manually set the #' # groups which define the lines - here the groups in the #' # original dataframe #' p + geom_line(aes(group=group)) + geom_errorbar(limits, width=0.2) geom_errorbar <- function (mapping = NULL, data = NULL, stat = "identity", position = "identity", ...) { GeomErrorbar$new(mapping = mapping, data = data, stat = stat, position = position, ...) } GeomErrorbar <- proto(Geom, { objname <- "errorbar" default_stat <- function(.) StatIdentity default_aes <- function(.) aes(colour = "black", size=0.5, linetype=1, width=0.5, alpha = NA) guide_geom <- function(.) "path" required_aes <- c("x", "ymin", "ymax") reparameterise <- function(., df, params) { df$width <- df$width %||% params$width %||% (resolution(df$x, FALSE) * 0.9) transform(df, xmin = x - width / 2, xmax = x + width / 2, width = NULL ) } draw <- function(., data, scales, coordinates, width = NULL, ...) { GeomPath$draw(with(data, data.frame( x = as.vector(rbind(xmin, xmax, NA, x, x, NA, xmin, xmax)), y = as.vector(rbind(ymax, ymax, NA, ymax, ymin, NA, ymin, ymin)), colour = rep(colour, each = 8), alpha = rep(alpha, each = 8), size = rep(size, each = 8), linetype = rep(linetype, each = 8), group = rep(1:(nrow(data)), each = 8), stringsAsFactors = FALSE, row.names = 1:(nrow(data) * 8) )), scales, coordinates, ...) } }) ggplot2/R/translate-qplot-ggplot.r0000644000175100001440000000735112114160774016667 0ustar hornikusers#' Translating between qplot and ggplot #' #' Within ggplot2, there are two basic methods to create plots, with qplot() #' and ggplot(). qplot() is designed primarily for interactive use: it makes #' a number of assumptions that speed most cases, but when designing multilayered #' plots with different data sources it can get in the way. This section #' describes what those defaults are, and how they map to the fuller ggplot() #' syntax. #' #' @name translate_qplot_ggplot #' @examples #' #' # By default, qplot() assumes that you want a scatterplot, #' # i.e., you want to use geom_point() #' # qplot(x, y, data = data) #' # ggplot(data, aes(x, y)) + geom_point() #' #' # Using Aesthetics #' #' # If you map additional aesthetics, these will be added to the defaults. With #' # qplot() there is no way to use different aesthetic mappings (or data) in #' # different layers #' # qplot(x, y, data = data, shape = shape, colour = colour) #' # ggplot(data, aes(x, y, shape = shape, colour = colour)) + geom_point() #' # #' # Aesthetic parameters in qplot() always try to map the aesthetic to a #' # variable. If the argument is not a variable but a value, effectively a new column #' # is added to the original dataset with that value. To set an aesthetic to a #' # value and override the default appearance, you surround the value with I() in #' # qplot(), or pass it as a parameter to the layer. #' # qplot(x, y, data = data, colour = I("red")) #' # ggplot(data, aes(x, y)) + geom_point(colour = "red") #' #' # Changing the geom parameter changes the geom added to the plot #' # qplot(x, y, data = data, geom = "line") #' # ggplot(data, aes(x, y)) + geom_line() #' #' # Not all geoms require both x and y, e.g., geom_bar() and geom_histogram(). #' # For these two geoms, if the y aesthetic is not supplied, both qplot and #' # ggplot commands default to "count" on the y-axis #' # ggplot(data, aes(x)) + geom_bar() #' # qplot(x, data = data, geom = "bar") #' #' # If a vector of multiple geom names is supplied to the geom argument, each #' # geom will be added in turn #' # qplot(x, y, data = data, geom = c("point", "smooth")) #' # ggplot(data, aes(x, y)) + geom_point() + geom_smooth() #' #' # Unlike the rest of ggplot2, stats and geoms are independent #' # qplot(x, y, data = data, stat = "bin") #' # ggplot(data, aes(x, y)) + geom_point(stat = "bin") #' # #' # Any layer parameters will be passed on to all layers. Most layers will ignore #' # parameters that they don't need #' # qplot(x, y, data = data, geom = c("point", "smooth"), method = "lm") #' # ggplot(data, aes(x, y)) + geom_point(method = "lm") + geom_smooth(method = "lm") #' #' # Scales and axes #' #' # You can control basic properties of the x and y scales with the xlim, ylim, #' # xlab and ylab arguments #' # qplot(x, y, data = data, xlim = c(1, 5), xlab = "my label") #' # ggplot(data, aes(x, y)) + geom_point() + #' # scale_x_continuous("my label", limits = c(1, 5)) #' #' # qplot(x, y, data = data, xlim = c(1, 5), ylim = c(10, 20)) #' # ggplot(data, aes(x, y)) + geom_point() + #' # scale_x_continuous(limits = c(1, 5)) + scale_y_continuous(limits = c(10, 20)) #' #' # Like plot(), qplot() has a convenient way of log transforming the axes. #' # qplot(x, y, data = data, log = "xy") #' # ggplot(data, aes(x, y)) + geom_point() + scale_x_log10() + scale_y_log10() #' # There are many other possible transformations, but not all are #' # accessible from within qplot(), see ?scale_continuous for more #' #' # Plot options #' #' # qplot() recognises the same options as plot does, and converts them to their #' # ggplot2 equivalents. See ?theme for more on ggplot options #' # qplot(x, y, data = data, main="title", asp = 1) #' # ggplot(data, aes(x, y)) + geom_point() + labs(title = "title") + theme(aspect.ratio = 1) NULL ggplot2/R/scale-grey.r0000644000175100001440000000213012114160774014264 0ustar hornikusers#' Sequential grey colour scale. #' #' Based on \code{\link{gray.colors}} #' #' @inheritParams scales::grey_pal #' @inheritParams scale_colour_hue #' @family colour scales #' @rdname scale_grey #' @export #' @examples #' p <- qplot(mpg, wt, data=mtcars, colour=factor(cyl)) #' p + scale_colour_grey() #' p + scale_colour_grey(end = 0) #' #' # You may want to turn off the pale grey background with this scale #' p + scale_colour_grey() + theme_bw() #' #' # Colour of missing values is controlled with na.value: #' miss <- factor(sample(c(NA, 1:5), nrow(mtcars), rep = TRUE)) #' qplot(mpg, wt, data = mtcars, colour = miss) + scale_colour_grey() #' qplot(mpg, wt, data = mtcars, colour = miss) + #' scale_colour_grey(na.value = "green") scale_colour_grey <- function(..., start = 0.2, end = 0.8, na.value = "red") { discrete_scale("colour", "grey", grey_pal(start, end), na.value = na.value, ...) } #' @rdname scale_grey #' @export scale_fill_grey <- function(..., start = 0.2, end = 0.8, na.value = "grey50") { discrete_scale("fill", "grey", grey_pal(start, end), na.value = na.value, ...) } ggplot2/R/stat-smooth.r0000644000175100001440000001623612114160774014527 0ustar hornikusers#' Add a smoother. #' #' Aids the eye in seeing patterns in the presence of overplotting. #' #' Calculation is performed by the (currently undocumented) #' \code{predictdf} generic function and its methods. For most methods #' the confidence bounds are computed using the \code{\link{predict}} #' method - the exceptions are \code{loess} which uses a t-based #' approximation, and for \code{glm} where the normal confidence interval #' is constructed on the link scale, and then back-transformed to the response #' scale. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "smooth")} #' #' @param method smoothing method (function) to use, eg. lm, glm, gam, loess, #' rlm. For datasets with n < 1000 default is \code{\link{loess}}. For datasets #' with 1000 or more observations defaults to gam, see \code{\link[mgcv]{gam}} #' for more details. #' @param formula formula to use in smoothing function, eg. \code{y ~ x}, #' \code{y ~ poly(x, 2)}, \code{y ~ log(x)} #' @param se display confidence interval around smooth? (TRUE by default, see #' level to control #' @param fullrange should the fit span the full range of the plot, or just #' the data #' @param level level of confidence interval to use (0.95 by default) #' @param n number of points to evaluate smoother at #' @param na.rm If \code{FALSE} (the default), removes missing values with #' a warning. If \code{TRUE} silently removes missing values. #' @param ... other arguments are passed to smoothing function #' @inheritParams stat_identity #' @return a data.frame with additional columns #' \item{y}{predicted value} #' \item{ymin}{lower pointwise confidence interval around the mean} #' \item{ymax}{upper pointwise confidence interval around the mean} #' \item{se}{standard error} #' @seealso #' \code{\link{lm}} for linear smooths, #' \code{\link{glm}} for generalised linear smooths, #' \code{\link{loess}} for local smooths #' @export #' @examples #' \donttest{ #' c <- ggplot(mtcars, aes(qsec, wt)) #' c + stat_smooth() #' c + stat_smooth() + geom_point() #' #' # Adjust parameters #' c + stat_smooth(se = FALSE) + geom_point() #' #' c + stat_smooth(span = 0.9) + geom_point() #' c + stat_smooth(level = 0.99) + geom_point() #' c + stat_smooth(method = "lm") + geom_point() #' #' library(splines) #' library(MASS) #' c + stat_smooth(method = "lm", formula = y ~ ns(x,3)) + #' geom_point() #' c + stat_smooth(method = rlm, formula= y ~ ns(x,3)) + geom_point() #' #' # The default confidence band uses a transparent colour. #' # This currently only works on a limited number of graphics devices #' # (including Quartz, PDF, and Cairo) so you may need to set the #' # fill colour to a opaque colour, as shown below #' c + stat_smooth(fill = "grey50", size = 2, alpha = 1) #' c + stat_smooth(fill = "blue", size = 2, alpha = 1) #' #' # The colour of the line can be controlled with the colour aesthetic #' c + stat_smooth(fill="blue", colour="darkblue", size=2) #' c + stat_smooth(fill="blue", colour="darkblue", size=2, alpha = 0.2) #' c + geom_point() + #' stat_smooth(fill="blue", colour="darkblue", size=2, alpha = 0.2) #' #' # Smoothers for subsets #' c <- ggplot(mtcars, aes(y=wt, x=mpg)) + facet_grid(. ~ cyl) #' c + stat_smooth(method=lm) + geom_point() #' c + stat_smooth(method=lm, fullrange = TRUE) + geom_point() #' #' # Geoms and stats are automatically split by aesthetics that are factors #' c <- ggplot(mtcars, aes(y=wt, x=mpg, colour=factor(cyl))) #' c + stat_smooth(method=lm) + geom_point() #' c + stat_smooth(method=lm, aes(fill = factor(cyl))) + geom_point() #' c + stat_smooth(method=lm, fullrange=TRUE, alpha = 0.1) + geom_point() #' #' # Use qplot instead #' qplot(qsec, wt, data=mtcars, geom=c("smooth", "point")) #' #' # Example with logistic regression #' data("kyphosis", package="rpart") #' qplot(Age, Kyphosis, data=kyphosis) #' qplot(Age, data=kyphosis, facets = . ~ Kyphosis, binwidth = 10) #' qplot(Age, Kyphosis, data=kyphosis, position="jitter") #' qplot(Age, Kyphosis, data=kyphosis, position=position_jitter(height=0.1)) #' #' qplot(Age, as.numeric(Kyphosis) - 1, data = kyphosis) + #' stat_smooth(method="glm", family="binomial") #' qplot(Age, as.numeric(Kyphosis) - 1, data=kyphosis) + #' stat_smooth(method="glm", family="binomial", formula = y ~ ns(x, 2)) #' } stat_smooth <- function (mapping = NULL, data = NULL, geom = "smooth", position = "identity", method = "auto", formula = y ~ x, se = TRUE, n = 80, fullrange = FALSE, level = 0.95, na.rm = FALSE, ...) { StatSmooth$new(mapping = mapping, data = data, geom = geom, position = position, method = method, formula = formula, se = se, n = n, fullrange = fullrange, level = level, na.rm = na.rm, ...) } StatSmooth <- proto(Stat, { objname <- "smooth" calculate_groups <- function(., data, scales, method="auto", formula=y~x, ...) { rows <- daply(data, .(group), function(df) length(unique(df$x))) if (all(rows == 1) && length(rows) > 1) { message("geom_smooth: Only one unique x value each group.", "Maybe you want aes(group = 1)?") return(data.frame()) } # Figure out what type of smoothing to do: loess for small datasets, # gam with a cubic regression basis for large data # This is based on the size of the _largest_ group. if (is.character(method) && method == "auto") { groups <- count(data, "group") if (max(groups$freq) < 1000) { method <- "loess" message('geom_smooth: method="auto" and size of largest group is <1000,', ' so using loess.', ' Use \'method = x\' to change the smoothing method.') } else { try_require("mgcv") method <- "gam" formula <- y ~ s(x, bs = "cs") message('geom_smooth: method="auto" and size of largest group is >=1000,', ' so using gam with formula: y ~ s(x, bs = "cs").', ' Use \'method = x\' to change the smoothing method.') } } .super$calculate_groups(., data, scales, method = method, formula = formula, ...) } calculate <- function(., data, scales, method="auto", formula=y~x, se = TRUE, n=80, fullrange=FALSE, xseq = NULL, level=0.95, na.rm = FALSE, ...) { data <- remove_missing(data, na.rm, c("x", "y"), name="stat_smooth") if (length(unique(data$x)) < 2) { # Not enough data to perform fit return(data.frame()) } if (is.null(data$weight)) data$weight <- 1 if (is.null(xseq)) { if (is.integer(data$x)) { if (fullrange) { xseq <- scale_dimension(scales$x, c(0, 0)) } else { xseq <- sort(unique(data$x)) } } else { if (fullrange) { range <- scale_dimension(scales$x, c(0, 0)) } else { range <- range(data$x, na.rm=TRUE) } xseq <- seq(range[1], range[2], length=n) } } if (is.character(method)) method <- match.fun(method) method.special <- function(...) method(formula, data=data, weights=weight, ...) model <- safe.call(method.special, list(...), names(formals(method))) predictdf(model, xseq, se, level) } required_aes <- c("x", "y") default_geom <- function(.) GeomSmooth }) ggplot2/R/geom-hline.r0000644000175100001440000000504412114160774014264 0ustar hornikusers#' Horizontal line. #' #' This geom allows you to annotate the plot with horizontal lines (see #' \code{\link{geom_vline}} and \code{\link{geom_abline}} for other types of #' lines). #' #' There are two ways to use it. You can either specify the intercept of #' the line in the call to the geom, in which case the line will be in the #' same position in every panel. Alternatively, you can supply a different #' intercept for each panel using a data.frame. See the examples for the #' differences #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "hline")} #' #' @seealso \code{\link{geom_vline}} for vertical lines, #' \code{\link{geom_abline}} for lines defined by a slope and intercept, #' \code{\link{geom_segment}} for a more general approach #' @export #' @inheritParams geom_point #' @param show_guide should a legend be drawn? (defaults to \code{FALSE}) #' @examples #' p <- ggplot(mtcars, aes(x = wt, y=mpg)) + geom_point() #' #' p + geom_hline(aes(yintercept=mpg)) #' p + geom_hline(yintercept=20) #' p + geom_hline(yintercept=seq(10, 30, by=5)) #' #' # With coordinate transforms #' p + geom_hline(aes(yintercept=mpg)) + coord_equal() #' p + geom_hline(aes(yintercept=mpg)) + coord_flip() #' p + geom_hline(aes(yintercept=mpg)) + coord_polar() #' #' # To display different lines in different facets, you need to #' # create a data frame. #' p <- qplot(mpg, wt, data=mtcars, facets = vs ~ am) #' #' hline.data <- data.frame(z = 1:4, vs = c(0,0,1,1), am = c(0,1,0,1)) #' p + geom_hline(aes(yintercept = z), hline.data) geom_hline <- function (mapping = NULL, data = NULL, stat = "hline", position = "identity", show_guide = FALSE, ...) { GeomHline$new(mapping = mapping, data = data, stat = stat, position = position, show_guide = show_guide, ...) } GeomHline <- proto(Geom, { objname <- "hline" new <- function(., data = NULL, mapping = NULL, yintercept = NULL, ...) { if (is.numeric(yintercept)) { data <- data.frame(yintercept = yintercept) yintercept <- NULL mapping <- aes_all(names(data)) } .super$new(., data = data, mapping = mapping, inherit.aes = FALSE, yintercept = yintercept, ...) } draw <- function(., data, scales, coordinates, ...) { ranges <- coord_range(coordinates, scales) data$x <- ranges$x[1] data$xend <- ranges$x[2] GeomSegment$draw(unique(data), scales, coordinates) } default_stat <- function(.) StatHline default_aes <- function(.) aes(colour="black", size=0.5, linetype=1, alpha = NA) guide_geom <- function(.) "path" }) ggplot2/R/coord-transform.r0000644000175100001440000001150312114160774015354 0ustar hornikusers#' Transformed cartesian coordinate system. #' #' \code{coord_trans} is different to scale transformations in that it occurs after #' statistical transformation and will affect the visual appearance of geoms - there is #' no guarantee that straight lines will continue to be straight. #' #' All current transformations only work with continuous values - see #' \code{\link[scales]{trans_new}} for list of transformations, and instructions on #' how to create your own. #' #' @param xtrans,ytrans transformers for x and y axes #' @param limx,limy limits for x and y axes. (Named so for backward #' compatability) #' @export #' @examples #' \donttest{ #' # See ?geom_boxplot for other examples #' #' # Three ways of doing transformating in ggplot: #' # * by transforming the data #' qplot(log10(carat), log10(price), data=diamonds) #' # * by transforming the scales #' qplot(carat, price, data=diamonds, log="xy") #' qplot(carat, price, data=diamonds) + scale_x_log10() + scale_y_log10() #' # * by transforming the coordinate system: #' qplot(carat, price, data=diamonds) + coord_trans(x = "log10", y = "log10") #' #' # The difference between transforming the scales and #' # transforming the coordinate system is that scale #' # transformation occurs BEFORE statistics, and coordinate #' # transformation afterwards. Coordinate transformation also #' # changes the shape of geoms: #' #' d <- subset(diamonds, carat > 0.5) #' qplot(carat, price, data = d, log="xy") + #' geom_smooth(method="lm") #' qplot(carat, price, data = d) + #' geom_smooth(method="lm") + #' coord_trans(x = "log10", y = "log10") #' #' # Here I used a subset of diamonds so that the smoothed line didn't #' # drop below zero, which obviously causes problems on the log-transformed #' # scale #' #' # With a combination of scale and coordinate transformation, it's #' # possible to do back-transformations: #' library(scales) #' qplot(carat, price, data=diamonds, log="xy") + #' geom_smooth(method="lm") + #' coord_trans(x = exp_trans(10), y = exp_trans(10)) #' # cf. #' qplot(carat, price, data=diamonds) + geom_smooth(method = "lm") #' #' # Also works with discrete scales #' df <- data.frame(a = abs(rnorm(26)),letters) #' plot <- ggplot(df,aes(a,letters)) + geom_point() #' #' plot + coord_trans(x = "log10") #' plot + coord_trans(x = "sqrt") #' } coord_trans <- function(xtrans = "identity", ytrans = "identity", limx = NULL, limy = NULL) { # @kohske # Now limits are implemented. # But for backward compatibility, xlim -> limx, ylim -> ylim # Because there are many examples such as # > coord_trans(x = "log10", y = "log10") # Maybe this is changed. if (is.character(xtrans)) xtrans <- as.trans(xtrans) if (is.character(ytrans)) ytrans <- as.trans(ytrans) coord(trans = list(x = xtrans, y = ytrans), limits = list(x = limx, y = limy), subclass = "trans") } #' @S3method coord_distance trans coord_distance.trans <- function(coord, x, y, details) { max_dist <- dist_euclidean(details$x.range, details$y.range) dist_euclidean(coord$trans$x$transform(x), coord$trans$y$transform(y)) / max_dist } #' @S3method coord_transform trans coord_transform.trans <- function(coord, data, details) { trans_x <- function(data) transform_value(coord$trans$x, data, details$x.range) trans_y <- function(data) transform_value(coord$trans$y, data, details$y.range) data <- transform_position(data, trans_x, trans_y) transform_position(data, squish_infinite, squish_infinite) } transform_value <- function(trans, value, range) { rescale(trans$transform(value), 0:1, range) } #' @S3method coord_train trans coord_train.trans <- function(coord, scales) { c(train_trans(scales$x, coord$limits$x, coord$trans$x, "x"), train_trans(scales$y, coord$limits$y, coord$trans$y, "y")) } train_trans <- function(scale, limits, trans, name) { # first, calculate the range that is the numerical limits in data space # expand defined by scale OR coord # @kohske # Expansion of data range sometimes go beyond domain, # so in trasn, expansion takes place at the fnial stage. if (is.null(limits)) { range <- scale_dimension(scale, c(0, 0)) } else { range <- range(scale_transform(scale, limits)) } # breaks on data space out <- scale_break_info(scale, range) # trans'd range out$range <- trans$transform(out$range) # expansion if limits are not specified if (is.null(limits)) { expand <- coord_expand_defaults(coord, scale) out$range <- expand_range(out$range, expand[1], expand[2]) } # major and minor values in plot space out$major_source <- transform_value(trans, out$major_source, out$range) out$minor_source <- transform_value(trans, out$minor_source, out$range) out <- list(range = out$range, labels = out$labels, major = out$major_source, minor = out$minor_source) names(out) <- paste(name, names(out), sep = ".") out } ggplot2/R/theme-defaults.r0000644000175100001440000001105612114161113015133 0ustar hornikusers#' A theme with grey background and white gridlines. #' #' @param base_size base font size #' @param base_family base font family #' @aliases theme_gray theme_grey #' @export theme_gray theme_grey theme_grey <- function(base_size = 12, base_family = "") { theme( # Elements in this first block aren't used directly, but are inherited # by others line = element_line(colour = "black", size = 0.5, linetype = 1, lineend = "butt"), rect = element_rect(fill = "white", colour = "black", size = 0.5, linetype = 1), text = element_text(family = base_family, face = "plain", colour = "black", size = base_size, hjust = 0.5, vjust = 0.5, angle = 0, lineheight = 0.9), axis.text = element_text(size = rel(0.8), colour = "grey50"), strip.text = element_text(size = rel(0.8)), axis.line = element_blank(), axis.text.x = element_text(vjust = 1), axis.text.y = element_text(hjust = 1), axis.ticks = element_line(colour = "grey50"), axis.title.x = element_text(), axis.title.y = element_text(angle = 90), axis.ticks.length = unit(0.15, "cm"), axis.ticks.margin = unit(0.1, "cm"), legend.background = element_rect(colour = NA), legend.margin = unit(0.2, "cm"), legend.key = element_rect(fill = "grey95", colour = "white"), legend.key.size = unit(1.2, "lines"), legend.key.height = NULL, legend.key.width = NULL, legend.text = element_text(size = rel(0.8)), legend.text.align = NULL, legend.title = element_text(size = rel(0.8), face = "bold", hjust = 0), legend.title.align = NULL, legend.position = "right", legend.direction = NULL, legend.justification = "center", legend.box = NULL, panel.background = element_rect(fill = "grey90", colour = NA), panel.border = element_blank(), panel.grid.major = element_line(colour = "white"), panel.grid.minor = element_line(colour = "grey95", size = 0.25), panel.margin = unit(0.25, "lines"), strip.background = element_rect(fill = "grey80", colour = NA), strip.text.x = element_text(), strip.text.y = element_text(angle = -90), plot.background = element_rect(colour = "white"), plot.title = element_text(size = rel(1.2)), plot.margin = unit(c(1, 1, 0.5, 0.5), "lines"), complete = TRUE ) } theme_gray <- theme_grey #' A theme with white background and black gridlines. #' #' @param base_size base font size #' @param base_family base font family #' @export theme_bw <- function(base_size = 12, base_family = "") { # Starts with theme_grey and then modify some parts theme_grey(base_size = base_size, base_family = base_family) %+replace% theme( axis.text = element_text(size = rel(0.8)), axis.ticks = element_line(colour = "black"), legend.key = element_rect(colour = "grey80"), panel.background = element_rect(fill = "white", colour = NA), panel.border = element_rect(fill = NA, colour = "grey50"), panel.grid.major = element_line(colour = "grey90", size = 0.2), panel.grid.minor = element_line(colour = "grey98", size = 0.5), strip.background = element_rect(fill = "grey80", colour = "grey50"), strip.background = element_rect(fill = "grey80", colour = "grey50") ) } #' A minimalistic theme with no background annotations. #' #' @param base_size base font size #' @param base_family base font family #' @export theme_minimal <- function(base_size = 12, base_family = "") { # Starts with theme_bw and then modify some parts theme_bw(base_size = base_size, base_family = base_family) %+replace% theme( legend.background = element_blank(), legend.key = element_blank(), panel.background = element_blank(), panel.border = element_blank(), strip.background = element_blank(), plot.background = element_blank() ) } #' A classic-looking theme, with x and y axis lines and no gridlines. #' #' @param base_size base font size #' @param base_family base font family #' @export theme_classic <- function(base_size = 12, base_family = ""){ theme_bw(base_size = base_size, base_family = base_family) %+replace% theme( panel.border = element_blank(), axis.line = element_line(colour = "black"), panel.grid.major = element_blank(), panel.grid.minor = element_blank() ) } ggplot2/R/xxx-digest.r0000644000175100001440000000474312114160774014351 0ustar hornikusersbolus <- function(x) UseMethod("bolus") bolus.proto <- function(x) x$bolus() # Create a bolus object # A bolus is a list suitable for digesting. # # Most ggplot objects have components that should be hashed when creating # a digest (especially since most ggplot objects are proto objects and # are also self-documenting). The bolus methods ensure that only appropriate # components are digested. # # @alias bolus # @alias bolus.proto # @alias digest.ggplot # @alias digest.proto # @keyword internal #X hash_tests <- list( #X list( #X ggplot() + scale_x_continuous() + scale_y_continuous(), #X ggplot() + scale_y_continuous() + scale_x_continuous() #X ), #X list( #X qplot(mpg, wt, data=mtcars, na.rm = FALSE), #X ggplot(mtcars, aes(y=wt, x=mpg)) + geom_point() #X ), #X list( #X qplot(mpg, wt, data=mtcars, xlab = "blah"), #X qplot(mpg, wt, data=mtcars) + xlab("blah") #X ) #X ) #X #X lapply(hash_tests, function(equal) { #X hashes <- lapply(equal, digest.ggplot) #X #X if (length(unique(hashes)) != 1) { #X lapply(equal, function(x) print(str(bolus(x)))) #X stop("Above plots not equal") #X } #X }) bolus.ggplot <- function(x, ...) { sort.by.name <- function(x) { if (is.null(names(x))) return(x) x[order(names(x))] } with(x, list( data = digest::digest(data), mapping = sort.by.name(mapping), layers = sapply(layers, function(x) x$hash()), scales = digest(scales), facet = facet$hash(), coord = coordinates$hash(), theme = digest::digest(defaults(x$theme, theme_get())) )) } digest.proto <- function(x, ...) x$hash(, ...) digest.ggplot <- function(x, ...) { if (is.null(x)) return() digest::digest(bolus(x), ...) } TopLevel$settings <- function(.) { mget(setdiff(ls(., all.names=TRUE), c(".that", ".super")), .) } Layer$hash <- TopLevel$hash <- function(., ...) { digest::digest(.$bolus(), ...) } TopLevel$bolus <- function(.) { list( name = .$objname, settings = .$settings() ) } Layer$bolus <- function(.) { params <- c(.$geom_params, .$stat_params) params <- params[!duplicated(params)] if (!is.null(params) && length(params) > 1) params <- params[order(names(params))] mapping <- .$mapping if (!is.null(mapping)) mapping <- mapping[order(names(mapping))] list( geom = .$geom$objname, stat = .$stat$objname, pos = .$position$objname, pos_parms = .$position$settings(), data = .$data, mapping = mapping, params = params, legend = .$legend ) } ggplot2/R/stat-quantile.r0000644000175100001440000000700612114161113015017 0ustar hornikusers#' Continuous quantiles. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "quantile")} #' #' @param quantiles conditional quantiles of y to calculate and display #' @param formula formula relating y variables to x variables #' @param method Quantile regression method to use. Currently only supports #' \code{\link[quantreg]{rq}}. #' @param na.rm If \code{FALSE} (the default), removes missing values with #' a warning. If \code{TRUE} silently removes missing values. #' @inheritParams stat_identity #' @return a data.frame with additional columns: #' \item{quantile}{quantile of distribution} #' @export #' @examples #' \donttest{ #' msamp <- movies[sample(nrow(movies), 1000), ] #' m <- ggplot(msamp, aes(year, rating)) + geom_point() #' m + stat_quantile() #' m + stat_quantile(quantiles = 0.5) #' q10 <- seq(0.05, 0.95, by=0.05) #' m + stat_quantile(quantiles = q10) #' #' # You can also use rqss to fit smooth quantiles #' m + stat_quantile(method = "rqss") #' # Note that rqss doesn't pick a smoothing constant automatically, so #' # you'll need to tweak lambda yourself #' m + stat_quantile(method = "rqss", lambda = 10) #' m + stat_quantile(method = "rqss", lambda = 100) #' #' # Use 'votes' as weights for the quantile calculation #' m + stat_quantile(aes(weight=votes)) #' #' # Change scale #' m + stat_quantile(aes(colour = ..quantile..), quantiles = q10) #' m + stat_quantile(aes(colour = ..quantile..), quantiles = q10) + #' scale_colour_gradient2(midpoint = 0.5) #' #' # Set aesthetics to fixed value #' m + stat_quantile(colour = "red", size = 2, linetype = 2) #' #' # Use qplot instead #' qplot(year, rating, data=movies, geom="quantile") #' } stat_quantile <- function (mapping = NULL, data = NULL, geom = "quantile", position = "identity", quantiles = c(0.25, 0.5, 0.75), formula = NULL, method = "rq", na.rm = FALSE, ...) { StatQuantile$new(mapping = mapping, data = data, geom = geom, position = position, quantiles = quantiles, formula = formula, method = method, na.rm = na.rm, ...) } StatQuantile <- proto(Stat, { objname <- "quantile" default_geom <- function(.) GeomQuantile default_aes <- function(.) aes() required_aes <- c("x", "y") calculate <- function(., data, scales, quantiles = c(0.25, 0.5, 0.75), formula = NULL, xseq = NULL, method = "rq", lambda = 1, na.rm = FALSE, ...) { try_require("quantreg") if (is.null(formula)) { if (method == "rqss") { try_require("MatrixModels") formula <- eval(substitute(y ~ qss(x, lambda = lambda)), list(lambda = lambda)) } else { formula <- y ~ x } message("Smoothing formula not specified. Using: ", deparse(formula)) } if (is.null(data$weight)) data$weight <- 1 if (is.null(xseq)) { xmin <- min(data$x, na.rm = TRUE) xmax <- max(data$x, na.rm = TRUE) xseq <- seq(xmin, xmax, length = 100) } grid <- data.frame(x = xseq) data <- as.data.frame(data) data <- remove_missing(data, na.rm, c("x", "y"), name = "stat_quantile") method <- match.fun(method) ldply(quantiles, quant_pred, data = data, method = method, formula = formula, weight = weight, grid = grid, ...) } }) quant_pred <- function(quantile, data, method, formula, weight, grid, ...) { model <- method(formula, data = data, tau = quantile, weight = weight, ...) grid$y <- predict(model, newdata = grid) grid$quantile <- quantile grid$group <- paste(data$group[1], quantile, sep = "-") grid } ggplot2/R/stat-summary-hex.r0000644000175100001440000000545212114160774015473 0ustar hornikusers##' Apply function for 2D hexagonal bins. ##' ##' @section Aesthetics: ##' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "summaryhex")} ##' ##' \code{stat_summary2d} is hexagonal version of \code{\link{stat_summary}}. The data are devided by \code{x} and \code{y}. ##' \code{z} in each cell is passed to arbitral summary function. ##' ##' \code{stat_summary-hex} requires the following aesthetics: ##' ##' \itemize{ ##' \item \code{x}: horizontal position ##' \item \code{y}: vertical position ##' \item \code{z}: value passed to the summary function ##' } ##' ##' @seealso \code{\link{stat_summary2d}} for rectangular summarization. \code{\link{stat_bin2d}} for the hexagon-ing options. ##' @title Apply funciton for 2D hexagonal bins. ##' @inheritParams stat_identity ##' @param bins see \code{\link{stat_binhex}} ##' @param drop drop if the output of \code{fun} is \code{NA}. ##' @param fun function for summary. ##' @param ... parameters passed to \code{fun} ##' @export ##' @examples ##' d <- ggplot(diamonds, aes(carat, depth, z = price)) ##' d + stat_summary_hex() ##' ##' # Specifying function ##' d + stat_summary_hex(fun = function(x) sum(x^2)) ##' d + stat_summary_hex(fun = var, na.rm = TRUE) stat_summary_hex <- function (mapping = NULL, data = NULL, geom = "hex", position = "identity", bins = 30, drop = TRUE, fun = mean, ...) { StatSummaryhex$new(mapping = mapping, data = data, geom = geom, position = position, bins = bins, drop = drop, fun = fun, ...) } StatSummaryhex <- proto(Stat, { objname <- "summaryhex" default_aes <- function(.) aes(fill = ..value..) required_aes <- c("x", "y", "z") default_geom <- function(.) GeomHex calculate <- function(., data, scales, binwidth = NULL, bins = 30, drop = TRUE, fun = mean, ...) { try_require("hexbin") data <- remove_missing(data, FALSE, c("x", "y", "z"), name="stat_summary_hex") if (is.null(binwidth)) { binwidth <- c( diff(scale_dimension(scales$x, c(0, 0))) / bins, diff(scale_dimension(scales$y, c(0, 0))) / bins ) } try_require("hexbin") # Convert binwidths into bounds + nbins x <- data$x y <- data$y xbnds <- c( round_any(min(x), binwidth[1], floor) - 1e-6, round_any(max(x), binwidth[1], ceiling) + 1e-6 ) xbins <- diff(xbnds) / binwidth[1] ybnds <- c( round_any(min(y), binwidth[1], floor) - 1e-6, round_any(max(y), binwidth[2], ceiling) + 1e-6 ) ybins <- diff(ybnds) / binwidth[2] # Call hexbin hb <- hexbin( x, xbnds = xbnds, xbins = xbins, y, ybnds = ybnds, shape = ybins / xbins, IDs = TRUE ) value <- tapply(data$z, hb@cID, fun, ...) # Convert to data frame ret <- data.frame(hcell2xy(hb), value) if (drop) ret <- na.omit(ret) ret } }) ggplot2/R/geom-tile.r0000644000175100001440000000636312114160774014127 0ustar hornikusers#' Tile plane with rectangles. #' #' Similar to \code{\link{levelplot}} and \code{\link{image}}. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "tile")} #' #' @inheritParams geom_point #' @export #' @examples #' \donttest{ #' # Generate data #' pp <- function (n,r=4) { #' x <- seq(-r*pi, r*pi, len=n) #' df <- expand.grid(x=x, y=x) #' df$r <- sqrt(df$x^2 + df$y^2) #' df$z <- cos(df$r^2)*exp(-df$r/6) #' df #' } #' p <- ggplot(pp(20), aes(x=x,y=y)) #' #' p + geom_tile() #pretty useless! #' #' # Add aesthetic mappings #' p + geom_tile(aes(fill=z)) #' #' # Change scale #' p + geom_tile(aes(fill=z)) + scale_fill_gradient(low="green", high="red") #' #' # Use qplot instead #' qplot(x, y, data=pp(20), geom="tile", fill=z) #' qplot(x, y, data=pp(100), geom="tile", fill=z) #' #' # Missing values #' p <- ggplot(pp(20)[sample(20*20, size=200),], aes(x=x,y=y,fill=z)) #' p + geom_tile() #' #' # Input that works with image #' image(t(volcano)[ncol(volcano):1,]) #' library(reshape2) # for melt #' ggplot(melt(volcano), aes(x=Var1, y=Var2, fill=value)) + geom_tile() #' #' # inspired by the image-density plots of Ken Knoblauch #' cars <- ggplot(mtcars, aes(y=factor(cyl), x=mpg)) #' cars + geom_point() #' cars + stat_bin(aes(fill=..count..), geom="tile", binwidth=3, position="identity") #' cars + stat_bin(aes(fill=..density..), geom="tile", binwidth=3, position="identity") #' #' cars + stat_density(aes(fill=..density..), geom="tile", position="identity") #' cars + stat_density(aes(fill=..count..), geom="tile", position="identity") #' #' # Another example with with unequal tile sizes #' x.cell.boundary <- c(0, 4, 6, 8, 10, 14) #' example <- data.frame( #' x = rep(c(2, 5, 7, 9, 12), 2), #' y = factor(rep(c(1,2), each=5)), #' z = rep(1:5, each=2), #' w = rep(diff(x.cell.boundary), 2) #' ) #' #' qplot(x, y, fill=z, data=example, geom="tile") #' qplot(x, y, fill=z, data=example, geom="tile", width=w) #' qplot(x, y, fill=factor(z), data=example, geom="tile", width=w) #' #' # You can manually set the colour of the tiles using #' # scale_manual #' col <- c("darkblue", "blue", "green", "orange", "red") #' qplot(x, y, fill=col[z], data=example, geom="tile", width=w, group=1) + scale_fill_identity(labels=letters[1:5], breaks=col) #' } geom_tile <- function (mapping = NULL, data = NULL, stat = "identity", position = "identity", ...) { GeomTile$new(mapping = mapping, data = data, stat = stat, position = position, ...) } GeomTile <- proto(Geom, { objname <- "tile" reparameterise <- function(., df, params) { df$width <- df$width %||% params$width %||% resolution(df$x, FALSE) df$height <- df$height %||% params$height %||% resolution(df$y, FALSE) transform(df, xmin = x - width / 2, xmax = x + width / 2, width = NULL, ymin = y - height / 2, ymax = y + height / 2, height = NULL ) } draw_groups <- function(., data, scales, coordinates, ...) { # data$colour[is.na(data$colour)] <- data$fill[is.na(data$colour)] GeomRect$draw_groups(data, scales, coordinates, ...) } default_stat <- function(.) StatIdentity default_aes <- function(.) aes(fill="grey20", colour=NA, size=0.1, linetype=1, alpha = NA) required_aes <- c("x", "y") guide_geom <- function(.) "polygon" }) ggplot2/R/annotation-map.r0000644000175100001440000000356512114160774015173 0ustar hornikusers#' @include geom-map.r NULL #' Annotation: maps. #' #' @param map data frame representing a map. Most map objects can be #' converted into the right format by using \code{\link{fortify}} #' @param ... other arguments used to modify aesthetics #' @export #' @examples #' library(maps) #' usamap <- map_data("state") #' #' seal.sub <- subset(seals, long > -130 & lat < 45 & lat > 40) #' ggplot(seal.sub, aes(x = long, y = lat)) + #' annotation_map(usamap, fill = "NA", colour = "grey50") + #' geom_segment(aes(xend = long + delta_long, yend = lat + delta_lat)) #' #' seal2 <- transform(seal.sub, #' latr = cut(lat, 2), #' longr = cut(long, 2)) #' #' ggplot(seal2, aes(x = long, y = lat)) + #' annotation_map(usamap, fill = "NA", colour = "grey50") + #' geom_segment(aes(xend = long + delta_long, yend = lat + delta_lat)) + #' facet_grid(latr ~ longr, scales = "free", space = "free") annotation_map <- function(map, ...) { # Get map input into correct form stopifnot(is.data.frame(map)) if (!is.null(map$lat)) map$y <- map$lat if (!is.null(map$long)) map$x <- map$long if (!is.null(map$region)) map$id <- map$region stopifnot(all(c("x", "y", "id") %in% names(map))) GeomAnnotationMap$new(geom_params = list(map = map, ...), data = NULL, inherit.aes = FALSE) } GeomAnnotationMap <- proto(GeomMap, { objname <- "map" draw_groups <- function(., data, scales, coordinates, map, ...) { # Munch, then set up id variable for polygonGrob - # must be sequential integers coords <- coord_munch(coordinates, map, scales) coords$group <- coords$group %||% coords$id grob_id <- match(coords$group, unique(coords$group)) polygonGrob(coords$x, coords$y, default.units = "native", id = grob_id, gp = gpar( col = data$colour, fill = alpha(data$fill, data$alpha), lwd = data$size * .pt)) } required_aes <- c() }) ggplot2/R/scale-gradient.r0000644000175100001440000000577412114160774015134 0ustar hornikusers#' Smooth gradient between two colours #' #' Default colours are generated with \pkg{munsell} and #' \code{mnsl(c("2.5PB 2/4", "2.5PB 7/10")}. Generally, for continuous #' colour scales you want to keep hue constant, but vary chroma and #' luminance. The \pkg{munsell} package makes this easy to do using the #' Munsell colour system. #' #' @inheritParams scale_colour_hue #' @inheritParams scales::seq_gradient_pal #' @param guide Type of legend. Use \code{"colourbar"} for continuous #' colour bar, or \code{"legend"} for discrete colour legend. #' @seealso \code{\link[scales]{seq_gradient_pal}} for details on underlying #' palette #' @rdname scale_gradient #' @family colour scales #' @export #' @examples #' \donttest{ #' # It's hard to see, but look for the bright yellow dot #' # in the bottom right hand corner #' dsub <- subset(diamonds, x > 5 & x < 6 & y > 5 & y < 6) #' (d <- qplot(x, y, data=dsub, colour=z)) #' # That one point throws our entire scale off. We could #' # remove it, or manually tweak the limits of the scale #' #' # Tweak scale limits. Any points outside these limits will not be #' # plotted, and will not affect the calculation of statistics, etc #' d + scale_colour_gradient(limits=c(3, 10)) #' d + scale_colour_gradient(limits=c(3, 4)) #' # Setting the limits manually is also useful when producing #' # multiple plots that need to be comparable #' #' # Alternatively we could try transforming the scale: #' d + scale_colour_gradient(trans = "log") #' d + scale_colour_gradient(trans = "sqrt") #' #' # Other more trivial manipulations, including changing the name #' # of the scale and the colours. #' #' d + scale_colour_gradient("Depth") #' d + scale_colour_gradient(expression(Depth[mm])) #' #' d + scale_colour_gradient(limits=c(3, 4), low="red") #' d + scale_colour_gradient(limits=c(3, 4), low="red", high="white") #' # Much slower #' d + scale_colour_gradient(limits=c(3, 4), low="red", high="white", space="Lab") #' d + scale_colour_gradient(limits=c(3, 4), space="Lab") #' #' # scale_fill_continuous works similarly, but for fill colours #' (h <- qplot(x - y, data=dsub, geom="histogram", binwidth=0.01, fill=..count..)) #' h + scale_fill_continuous(low="black", high="pink", limits=c(0,3100)) #' #' # Colour of missing values is controlled with na.value: #' miss <- sample(c(NA, 1:5), nrow(mtcars), rep = TRUE) #' qplot(mpg, wt, data = mtcars, colour = miss) #' qplot(mpg, wt, data = mtcars, colour = miss) + #' scale_colour_gradient(na.value = "black") #' } scale_colour_gradient <- function(..., low = "#132B43", high = "#56B1F7", space = "Lab", na.value = "grey50", guide = "colourbar") { continuous_scale("colour", "gradient", seq_gradient_pal(low, high, space), na.value = na.value, guide = guide, ...) } #' @rdname scale_gradient #' @export scale_fill_gradient <- function(..., low = "#132B43", high = "#56B1F7", space = "Lab", na.value = "grey50", guide = "colourbar") { continuous_scale("fill", "gradient", seq_gradient_pal(low, high, space), na.value = na.value, guide = guide, ...) } ggplot2/R/plot-render.r0000644000175100001440000001630412114160774014474 0ustar hornikusers#' Build a plot with all the usual bits and pieces. #' #' This function builds all grobs necessary for displaying the plot, and #' stores them in a special data structure called a \code{\link{gtable}}. #' This object is amenable to programmatic manipulation, should you want #' to (e.g.) make the legend box 2 cm wide, or combine multiple plots into #' a single display, preserving aspect ratios across the plots. #' #' @seealso \code{\link{print.ggplot}} and \code{link{benchplot}} for #' for functions that contain the complete set of steps for generating #' a ggplot2 plot. #' @return a \code{\link{gtable}} object #' @keywords internal #' @param plot plot object #' @param data plot data generated by \code{\link{ggplot_build}} #' @export ggplot_gtable <- function(data) { plot <- data$plot panel <- data$panel data <- data$data theme <- plot_theme(plot) build_grob <- function(layer, layer_data) { if (nrow(layer_data) == 0) return() dlply(layer_data, "PANEL", function(df) { panel_i <- match(df$PANEL[1], panel$layout$PANEL) layer$make_grob(df, scales = panel$ranges[[panel_i]], cs = plot$coord) }, .drop = FALSE) } # helper function return the position of panels in plot_table find_panel <- function(table) { summarise(subset(table$layout, grepl("^panel", name)), t = min(t), r = max(r), b = max(b), l = min(l)) } # List by layer, list by panel geom_grobs <- Map(build_grob, plot$layer, data) plot_table <- facet_render(plot$facet, panel, plot$coordinates, plot_theme(plot), geom_grobs) # Axis labels labels <- coord_labels(plot$coordinates, list( x = xlabel(panel, plot$labels), y = ylabel(panel, plot$labels) )) xlabel <- element_render(theme, "axis.title.x", labels$x) ylabel <- element_render(theme, "axis.title.y", labels$y) panel_dim <- find_panel(plot_table) xlab_height <- grobHeight(xlabel) + if (is.null(labels$x)) unit(0, "lines") else unit(0.5, "lines") plot_table <- gtable_add_rows(plot_table, xlab_height) plot_table <- gtable_add_grob(plot_table, xlabel, name = "xlab", l = panel_dim$l, r = panel_dim$r, t = -1, clip = "off") ylab_width <- grobWidth(ylabel) + if (is.null(labels$y)) unit(0, "lines") else unit(0.5, "lines") plot_table <- gtable_add_cols(plot_table, ylab_width, pos = 0) plot_table <- gtable_add_grob(plot_table, ylabel, name = "ylab", l = 1, b = panel_dim$b, t = panel_dim$t, clip = "off") # Legends position <- theme$legend.position if (length(position) == 2) { coords <- position position <- "manual" } legend_box <- if (position != "none") { build_guides(plot$scales, plot$layers, plot$mapping, position, theme, plot$guides, plot$labels) } else { zeroGrob() } if (is.zero(legend_box)) { position <- "none" } else { # these are a bad hack, since it modifies the contents fo viewpoint directly... legend_width <- gtable_width(legend_box) + theme$legend.margin legend_height <- gtable_height(legend_box) + theme$legend.margin # Set the justification of the legend box # First value is xjust, second value is yjust just <- valid.just(theme$legend.justification) xjust <- just[1] yjust <- just[2] if (position == "manual") { xpos <- theme$legend.position[1] ypos <- theme$legend.position[2] # x and y are specified via theme$legend.position (i.e., coords) legend_box <- editGrob(legend_box, vp = viewport(x = xpos, y = ypos, just = c(xjust, yjust), height = legend_height, width = legend_width)) } else { # x and y are adjusted using justification of legend box (i.e., theme$legend.justification) legend_box <- editGrob(legend_box, vp = viewport(x = xjust, y = yjust, just = c(xjust, yjust))) } } panel_dim <- find_panel(plot_table) # for align-to-device, use this: # panel_dim <- summarise(plot_table$layout, t = min(t), r = max(r), b = max(b), l = min(l)) if (position == "left") { plot_table <- gtable_add_cols(plot_table, legend_width, pos = 0) plot_table <- gtable_add_grob(plot_table, legend_box, clip = "off", t = panel_dim$t, b = panel_dim$b, l = 1, r = 1, name = "guide-box") } else if (position == "right") { plot_table <- gtable_add_cols(plot_table, legend_width, pos = -1) plot_table <- gtable_add_grob(plot_table, legend_box, clip = "off", t = panel_dim$t, b = panel_dim$b, l = -1, r = -1, name = "guide-box") } else if (position == "bottom") { plot_table <- gtable_add_rows(plot_table, legend_height, pos = -1) plot_table <- gtable_add_grob(plot_table, legend_box, clip = "off", t = -1, b = -1, l = panel_dim$l, r = panel_dim$r, name = "guide-box") } else if (position == "top") { plot_table <- gtable_add_rows(plot_table, legend_height, pos = 0) plot_table <- gtable_add_grob(plot_table, legend_box, clip = "off", t = 1, b = 1, l = panel_dim$l, r = panel_dim$r, name = "guide-box") } else if (position == "manual") { # should guide box expand whole region or region withoug margin? plot_table <- gtable_add_grob(plot_table, legend_box, t = panel_dim$t, b = panel_dim$b, l = panel_dim$l, r = panel_dim$r, clip = "off", name = "guide-box") } # Title title <- element_render(theme, "plot.title", plot$labels$title) title_height <- grobHeight(title) + if (is.null(plot$labels$title)) unit(0, "lines") else unit(0.5, "lines") pans <- subset(plot_table$layout, grepl("^panel", name)) plot_table <- gtable_add_rows(plot_table, title_height, pos = 0) plot_table <- gtable_add_grob(plot_table, title, name = "title", t = 1, b = 1, l = min(pans$l), r = max(pans$r), clip = "off") # Margins plot_table <- gtable_add_rows(plot_table, theme$plot.margin[1], pos = 0) plot_table <- gtable_add_cols(plot_table, theme$plot.margin[2]) plot_table <- gtable_add_rows(plot_table, theme$plot.margin[3]) plot_table <- gtable_add_cols(plot_table, theme$plot.margin[4], pos = 0) if (inherits(theme$plot.background, "element")) { plot_table <- gtable_add_grob(plot_table, element_render(theme, "plot.background"), t = 1, l = 1, b = -1, r = -1, name = "background", z = -Inf) plot_table$layout <- plot_table$layout[c(nrow(plot_table$layout), 1:(nrow(plot_table$layout) - 1)),] plot_table$grobs <- plot_table$grobs[c(nrow(plot_table$layout), 1:(nrow(plot_table$layout) - 1))] } plot_table } #' Draw plot on current graphics device. #' #' @param x plot to display #' @param newpage draw new (empty) page first? #' @param vp viewport to draw plot in #' @param ... other arguments not used by this method #' @keywords hplot #' @export #' @method print ggplot print.ggplot <- function(x, newpage = is.null(vp), vp = NULL, ...) { set_last_plot(x) if (newpage) grid.newpage() data <- ggplot_build(x) gtable <- ggplot_gtable(data) if (is.null(vp)) { grid.draw(gtable) } else { if (is.character(vp)) seekViewport(vp) else pushViewport(vp) grid.draw(gtable) upViewport() } invisible(data) } #' @rdname print.ggplot #' @method plot ggplot #' @export plot.ggplot <- print.ggplot #' Generate a ggplot2 plot grob. #' #' @param x ggplot2 object #' @keywords internal #' @export ggplotGrob <- function(x) { ggplot_gtable(ggplot_build(x)) } ggplot2/R/stat-smooth-methods.r0000644000175100001440000000400312114160774016155 0ustar hornikusers# Prediction data frame # Get predictions with standard errors into data frame # # @keyword internal # @alias predictdf.default # @alias predictdf.glm # @alias predictdf.loess # @alias predictdf.locfit predictdf <- function(model, xseq, se, level) UseMethod("predictdf") #' @S3method predictdf default predictdf.default <- function(model, xseq, se, level) { pred <- stats::predict(model, newdata = data.frame(x = xseq), se = se, level = level, interval = if(se) "confidence" else "none") if (se) { fit <- as.data.frame(pred$fit) names(fit) <- c("y", "ymin", "ymax") data.frame(x = xseq, fit, se = pred$se) } else { data.frame(x = xseq, y = as.vector(pred)) } } #' @S3method predictdf glm predictdf.glm <- function(model, xseq, se, level) { pred <- stats::predict(model, newdata = data.frame(x = xseq), se = se, type = "link") if (se) { std <- qnorm(level / 2 + 0.5) data.frame( x = xseq, y = model$family$linkinv(as.vector(pred$fit)), ymin = model$family$linkinv(as.vector(pred$fit - std * pred$se)), ymax = model$family$linkinv(as.vector(pred$fit + std * pred$se)), se = as.vector(pred$se) ) } else { data.frame(x = xseq, y = model$family$linkinv(as.vector(pred))) } } #' @S3method predictdf loess predictdf.loess <- function(model, xseq, se, level) { pred <- stats::predict(model, newdata = data.frame(x = xseq), se = se) if (se) { y = pred$fit ci <- pred$se.fit * qt(level / 2 + .5, pred$df) ymin = y - ci ymax = y + ci data.frame(x = xseq, y, ymin, ymax, se = pred$se.fit) } else { data.frame(x = xseq, y = as.vector(pred)) } } #' @S3method predictdf locfit predictdf.locfit <- function(model, xseq, se, level) { pred <- predict(model, newdata = data.frame(x = xseq), se.fit = se) if (se) { y = pred$fit ymin = y - pred$se.fit ymax = y + pred$se.fit data.frame(x = xseq, y, ymin, ymax, se = pred$se.fit) } else { data.frame(x = xseq, y = as.vector(pred)) } } ggplot2/R/geom-polygon.r0000644000175100001440000000712412114161113014641 0ustar hornikusers#' Polygon, a filled path. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "polygon")} #' #' @seealso #' \code{\link{geom_path}} for an unfilled polygon, #' \code{\link{geom_ribbon}} for a polygon anchored on the x-axis #' @export #' @inheritParams geom_point #' @examples #' # When using geom_polygon, you will typically need two data frames: #' # one contains the coordinates of each polygon (positions), and the #' # other the values associated with each polygon (values). An id #' # variable links the two together #' #' ids <- factor(c("1.1", "2.1", "1.2", "2.2", "1.3", "2.3")) #' #' values <- data.frame( #' id = ids, #' value = c(3, 3.1, 3.1, 3.2, 3.15, 3.5) #' ) #' #' positions <- data.frame( #' id = rep(ids, each = 4), #' x = c(2, 1, 1.1, 2.2, 1, 0, 0.3, 1.1, 2.2, 1.1, 1.2, 2.5, 1.1, 0.3, #' 0.5, 1.2, 2.5, 1.2, 1.3, 2.7, 1.2, 0.5, 0.6, 1.3), #' y = c(-0.5, 0, 1, 0.5, 0, 0.5, 1.5, 1, 0.5, 1, 2.1, 1.7, 1, 1.5, #' 2.2, 2.1, 1.7, 2.1, 3.2, 2.8, 2.1, 2.2, 3.3, 3.2) #' ) #' #' # Currently we need to manually merge the two together #' datapoly <- merge(values, positions, by=c("id")) #' #' (p <- ggplot(datapoly, aes(x=x, y=y)) + geom_polygon(aes(fill=value, group=id))) #' #' # Which seems like a lot of work, but then it's easy to add on #' # other features in this coordinate system, e.g.: #' #' stream <- data.frame( #' x = cumsum(runif(50, max = 0.1)), #' y = cumsum(runif(50,max = 0.1)) #' ) #' #' p + geom_line(data = stream, colour="grey30", size = 5) #' #' # And if the positions are in longitude and latitude, you can use #' # coord_map to produce different map projections. geom_polygon <- function (mapping = NULL, data = NULL, stat = "identity", position = "identity", ...) { GeomPolygon$new(mapping = mapping, data = data, stat = stat, position = position, ...) } GeomPolygon <- proto(Geom, { objname <- "polygon" draw_groups <- function(., ...) .$draw(...) draw <- function(., data, scales, coordinates, ...) { n <- nrow(data) if (n == 1) return() # Check if group is numeric, to make polygonGrob happy (factors are numeric, # but is.numeric() will report FALSE because it actually checks something else) if (mode(data$group) != "numeric") data$group <- factor(data$group) munched <- coord_munch(coordinates, data, scales) # Sort by group to make sure that colors, fill, etc. come in same order munched <- munched[order(munched$group), ] # For gpar(), there is one entry per polygon (not one entry per point). # We'll pull the first value from each group, and assume all these values # are the same within each group. first_idx <- !duplicated(munched$group) first_rows <- munched[first_idx, ] ggname(.$my_name(), gTree(children = gList( polygonGrob(munched$x, munched$y, default.units = "native", id = munched$group, gp = gpar( col = first_rows$colour, fill = alpha(first_rows$fill, first_rows$alpha), lwd = first_rows$size * .pt, lty = first_rows$linetype ) ) ))) } default_stat <- function(.) StatIdentity default_aes <- function(.) aes(colour="NA", fill="grey20", size=0.5, linetype=1, alpha = NA) required_aes <- c("x", "y") guide_geom <- function(.) "polygon" draw_legend <- function(., data, ...) { data <- aesdefaults(data, .$default_aes(), list(...)) with(data, grobTree( rectGrob(gp = gpar(col = colour, fill = alpha(fill, alpha), lty = linetype)), linesGrob(gp = gpar(col = colour, lwd = size * .pt, lineend="butt", lty = linetype)) )) } }) ggplot2/R/scale-.r0000644000175100001440000004465412114161113013402 0ustar hornikusers#' Components of a scale: #' #' Guide related: #' * name #' * breaks #' * labels #' * expand #' #' Mapping related: #' * aesthetic #' * limits #' * palette #' * trans #' #' Scales are an S3 class with a single mutable component implemented with #' a reference class - the range of the data. This mutability makes working #' with scales much easier, because it makes it possible to distribute the #' training, without having to worry about collecting all the pieces back #' together again. #' #' @name ggscale #' @S3method print scale NULL #' Continuous scale constructor. #' #' @export #' @inheritParams discrete_scale #' @param minor_breaks Used with date or datetime scales. Either \code{NULL} for #' no minor breaks, \code{waiver()} for the default breaks (one minor break #' between each major break), a numeric vector of positions, or a function #' that given the limits returns a vector of minor breaks. #' @param limits A numeric vector of length two describing the scale limits. #' @param rescaler Used by diverging and n colour gradients #' (i.e. \code{\link{scale_colour_gradient2}}, \code{\link{scale_colour_gradientn}}). #' @param oob What to do with values outside scale limits (out of bounds)? #' @keywords internal continuous_scale <- function(aesthetics, scale_name, palette, name = NULL, breaks = waiver(), minor_breaks = waiver(), labels = waiver(), legend = NULL, limits = NULL, rescaler = rescale, oob = censor, expand = waiver(), na.value = NA_real_, trans = "identity", guide="legend") { if (!is.null(legend)) { gg_dep("0.8.9", "\"legend\" argument in scale_XXX is deprecated. Use guide=\"none\" for suppress the guide display.") if (legend == FALSE) guide = "none" else if (legend == TRUE) guide = "legend" } bad_labels <- is.vector(breaks) && is.vector(labels) && length(breaks) != length(labels) if (bad_labels) { stop("Breaks and labels have unequal lengths", call. = FALSE) } if (is.null(breaks) && !is_position_aes(aesthetics) && guide != "none") { guide <- "none" } trans <- as.trans(trans) if (!is.null(limits)) { limits <- trans$trans(limits) } structure(list( call = match.call(), aesthetics = aesthetics, scale_name = scale_name, palette = palette, range = ContinuousRange$new(), limits = limits, trans = trans, na.value = na.value, expand = expand, rescaler = rescaler, # Used by diverging and n colour gradients oob = oob, name = name, breaks = breaks, minor_breaks = minor_breaks, labels = labels, legend = legend, guide = guide ), class = c(scale_name, "continuous", "scale")) } #' Discrete scale constructor. #' #' @export #' @param aesthetics the names of the aesthetics that this scale works with #' @param scale_name the name of the scale #' @param palette a palette function that when called with a single integer #' argument (the number of levels in the scale) returns the values that #' they should take #' @param name the name of the scale - used as the axis label or the legend #' title #' @param drop drop unused factor levels from the scale (\code{TRUE} or #' \code{FALSE}) #' @param breaks control the breaks in the guide. There are four possible #' types of input: #' \itemize{ #' \item \code{NULL}: don't display any breaks #' \item a character vector giving the breaks as they should appear on the #' axis or in the legend. #' \item \code{waiver()} to use the default break computation. #' \item a function, that when called with a single argument, a character #' vector giving the limits of the scale, returns a character vector #' specifying which breaks to display. #' } #' This parameter does not affect in any way how the data is scaled - it #' only affects the appearance of the legend. #' @param limits A character vector specifying the data range for the scale. # The limits control what levels are displayed in the plot, their order, #' and the default order of their display in guides. #' @param labels \code{NULL} for no labels, \code{waiver()} for default #' labels (labels the same as breaks), a character vector the same length #' as breaks, or a named character vector whose names are used to match #' replacement the labels for matching breaks. #' @param legend deprecated. Use \code{guide} instead. #' @param expand a numeric vector of length two, giving a multiplicative and #' additive constant used to expand the range of the scales so that there #' is a small gap between the data and the axes. #' @param na.value how should missing values be displayed? #' @param guide the name of, or actual function, used to create the #' guide. discrete_scale <- function(aesthetics, scale_name, palette, name = NULL, breaks = waiver(), labels = waiver(), legend = NULL, limits = NULL, expand = waiver(), na.value = NA, drop = TRUE, guide="legend") { if (!is.null(legend)) { gg_dep("0.8.9", "\"legend\" argument in scale_XXX is deprecated. Use guide=\"none\" for suppress the guide display.") if (legend == FALSE) guide = "none" else if (legend == TRUE) guide = "legend" } bad_labels <- is.vector(breaks) && is.vector(labels) && length(breaks) != length(labels) if (bad_labels) { stop("Breaks and labels have unequal lengths", call. = FALSE) } if (is.null(breaks) && !is_position_aes(aesthetics) && guide != "none") { guide <- "none" } structure(list( call = match.call(), aesthetics = aesthetics, scale_name = scale_name, palette = palette, range = DiscreteRange$new(), limits = limits, na.value = na.value, expand = expand, name = name, breaks = breaks, labels = labels, legend = legend, drop = drop, guide = guide ), class = c(scale_name, "discrete", "scale")) } # Train scale from a data frame. # # @return updated range (invisibly) # @seealso \code{\link{scale_train}} for scale specific generic method scale_train_df <- function(scale, df) { if (empty(df)) return() aesthetics <- intersect(scale$aesthetics, names(df)) for(aesthetic in aesthetics) { scale_train(scale, df[[aesthetic]]) } invisible() } # Train an individual scale from a vector of data. # scale_train <- function(scale, x) { if (length(x) == 0) return() UseMethod("scale_train") } #' @S3method scale_train continuous scale_train.continuous <- function(scale, x) { scale$range$train(x) } #' @S3method scale_train discrete scale_train.discrete <- function(scale, x) { scale$range$train(x, drop = scale$drop) } # Reset scale, untraining ranges scale_reset <- function(scale, x) UseMethod("scale_reset") #' @S3method scale_reset default scale_reset.default <- function(scale, x) { scale$range$reset() } scale_is_empty <- function(scale) UseMethod("scale_is_empty") #' @S3method scale_is_empty default scale_is_empty.default <- function(scale) { is.null(scale$range$range) && is.null(scale$limits) } # @return list of transformed variables scale_transform_df <- function(scale, df) { if (empty(df)) return() aesthetics <- intersect(scale$aesthetics, names(df)) if (length(aesthetics) == 0) return() lapply(df[aesthetics], scale_transform, scale = scale) } scale_transform <- function(scale, x) UseMethod("scale_transform") #' @S3method scale_transform continuous scale_transform.continuous <- function(scale, x) { scale$trans$trans(x) } #' @S3method scale_transform discrete scale_transform.discrete <- function(scale, x) { x } # @return list of mapped variables scale_map_df <- function(scale, df, i = NULL) { if (empty(df)) return() aesthetics <- intersect(scale$aesthetics, names(df)) names(aesthetics) <- aesthetics if (length(aesthetics) == 0) return() if (is.null(i)) { lapply(aesthetics, function(j) scale_map(scale, df[[j]])) } else { lapply(aesthetics, function(j) scale_map(scale, df[[j]][i])) } } # @kohske # scale_map tentatively accept limits argument. # scale_map replaces oob (i.e., outside limits) values with NA. # # Previously limits are always scale_limits(scale). # But if this function is called to get breaks, # and breaks spans oob, the oob breaks is replaces by NA. # This makes impossible to display oob breaks. # Now coord_train calls this function with limits determined by coord (with expansion). scale_map <- function(scale, x, limits) UseMethod("scale_map") #' @S3method scale_map continuous scale_map.continuous <- function(scale, x, limits = scale_limits(scale)) { x <- scale$oob(scale$rescaler(x, from = limits)) # Points are rounded to the nearest 500th, to reduce the amount of # work that the scale palette must do - this is particularly important # for colour scales which are rather slow. This shouldn't have any # perceptual impacts. x <- round_any(x, 1 / 500) uniq <- unique(x) pal <- scale$palette(uniq) scaled <- pal[match(x, uniq)] ifelse(!is.na(scaled), scaled, scale$na.value) } #' @S3method scale_map discrete scale_map.discrete <- function(scale, x, limits = scale_limits(scale)) { n <- sum(!is.na(limits)) pal <- scale$palette(n) if (is.null(names(pal))) { pal_match <- pal[match(as.character(x), limits)] } else { pal_match <- pal[match(as.character(x), names(pal))] pal_match <- unname(pal_match) } ifelse(is.na(x) | is.na(pal_match), scale$na.value, pal_match) } scale_limits <- function(scale) { if (scale_is_empty(scale)) return(c(0, 1)) UseMethod("scale_limits") } #' @S3method scale_limits default scale_limits.default <- function(scale) { scale$limits %||% scale$range$range } # @kohske # this (internal) function always returns a vector of length 2 of giving # multiplicative and additive expansion constants. # if scale' expand is specified, return it. # if is.waive, return c(0, 0) scale_expand <- function(scale) UseMethod("scale_expand") #' @S3method scale_expand default scale_expand.default <- function(scale) { if (is.waive(scale$expand)) c(0, 0) else scale$expand } # The phyical size of the scale, if a position scale # Unlike limits, this always returns a numeric vector of length 2 # @kohske # scale_dimension uses scale_expand(scale) for expansion by default. scale_dimension <- function(scale, expand = scale_expand(scale)) UseMethod("scale_dimension") #' @S3method scale_dimension continuous scale_dimension.continuous <- function(scale, expand = scale_expand(scale)) { expand_range(scale_limits(scale), expand[1], expand[2]) } #' @S3method scale_dimension discrete scale_dimension.discrete <- function(scale, expand = scale_expand(scale)) { expand_range(length(scale_limits(scale)), expand[1], expand[2]) } scale_breaks <- function(scale, limits = scale_limits(scale)) { if (scale_is_empty(scale)) return(numeric()) UseMethod("scale_breaks") } #' @S3method scale_breaks continuous scale_breaks.continuous <- function(scale, limits = scale_limits(scale)) { # Limits in transformed space need to be converted back to data space limits <- scale$trans$inv(limits) if (is.null(scale$breaks)) { return(NULL) } else if (length(scale$breaks) == 1 && !is.function(scale$breaks) && is.na(scale$breaks)) { gg_dep("0.8.9", "breaks = NA is deprecated. Please use breaks = NULL to remove breaks in the scale.") return(NULL) } else if (zero_range(as.numeric(limits))) { breaks <- limits[1] } else if (is.waive(scale$breaks)) { breaks <- scale$trans$breaks(limits) } else if (is.function(scale$breaks)) { breaks <- scale$breaks(limits) } else { breaks <- scale$breaks } # Breaks in data space need to be converted back to transformed space # And any breaks outside the dimensions need to be flagged as missing # # @kohske # TODO: replace NA with something else for flag. # guides cannot discriminate oob from missing value. breaks <- censor(scale$trans$trans(breaks), scale$trans$trans(limits)) if (length(breaks) == 0) { stop("Zero breaks in scale for ", paste(scale$aesthetics, collapse = "/"), call. = FALSE) } breaks } #' @S3method scale_breaks discrete scale_breaks.discrete <- function(scale, limits = scale_limits(scale)) { if (is.null(scale$breaks)) { return(NULL) } else if (length(scale$breaks) == 1 && !is.function(scale$breaks) && is.na(scale$breaks)) { gg_dep("0.8.9", "breaks = NA is deprecated. Please use breaks = NULL to remove breaks in the scale.") return(NULL) } else if (is.waive(scale$breaks)) { breaks <- limits } else if (is.function(scale$breaks)) { breaks <- scale$breaks(limits) } else { breaks <- scale$breaks } # Breaks can only occur only on values in domain in_domain <- intersect(breaks, scale_limits(scale)) structure(in_domain, pos = match(in_domain, breaks)) } # The numeric position of scale breaks, used by coord/guide scale_break_positions <- function(scale, range = scale_limits(scale)) { scale_map(scale, scale_breaks(scale, range)) } scale_breaks_minor<- function(scale, n = 2, b = scale_break_positions(scale), limits = scale_limits(scale)) { UseMethod("scale_breaks_minor") } #' @S3method scale_breaks_minor continuous scale_breaks_minor.continuous <- function(scale, n = 2, b = scale_break_positions(scale), limits = scale_limits(scale)) { if (zero_range(as.numeric(limits))) { return() } if (is.null(scale$minor_breaks)) { return(NULL) } else if (length(scale$minor_breaks) == 1 && !is.function(scale$minor_breaks) && is.na(scale$minor_breaks)) { gg_dep("0.8.9", "minor_breaks = NA is deprecated. Please use minor_breaks = NULL to remove minor breaks in the scale.") return(NULL) } else if (is.waive(scale$minor_breaks)) { if (is.null(b)) { breaks <- NULL } else { b <- b[!is.na(b)] if (length(b) < 2) return() bd <- diff(b)[1] if (min(limits) < min(b)) b <- c(b[1] - bd, b) if (max(limits) > max(b)) b <- c(b, b[length(b)] + bd) breaks <- unique(unlist(mapply(seq, b[-length(b)], b[-1], length=n+1, SIMPLIFY = FALSE))) } } else if (is.function(scale$minor_breaks)) { # Find breaks in data space, and convert to numeric breaks <- scale$minor_breaks(scale$trans$inv(limits)) breaks <- scale$trans$trans(breaks) } else { breaks <- scale$minor_breaks } # Any minor breaks outside the dimensions need to be thrown away discard(breaks, limits) } #' @S3method scale_breaks_minor discrete scale_breaks_minor.discrete <- function(...) NULL scale_breaks_minor_positions <- function(scale) { scale_map(scale, scale_breaks_minor(scale)) } scale_labels <- function(scale, breaks = scale_breaks(scale)) { if (scale_is_empty(scale)) return(character()) UseMethod("scale_labels") } #' @S3method scale_labels continuous scale_labels.continuous <- function(scale, breaks = scale_breaks(scale)) { if (is.null(breaks)) return(NULL) breaks <- scale$trans$inv(breaks) if (is.null(scale$labels)) { return(NULL) } else if (length(scale$labels) == 1 && !is.function(scale$labels) && is.na(scale$labels)) { gg_dep("0.8.9", "labels = NA is deprecated. Please use labels = NULL to remove labels in the scale.") return(NULL) } else if (is.waive(scale$labels)) { labels <- scale$trans$format(breaks) } else if (is.function(scale$labels)) { labels <- scale$labels(breaks) } else { labels <- scale$labels } if (length(labels) != length(breaks)) { stop("Breaks and labels are different lengths") } labels } #' @S3method scale_labels discrete scale_labels.discrete <- function(scale, breaks = scale_breaks(scale)) { if (is.null(breaks)) return(NULL) if (is.null(scale$labels)) { return(NULL) } else if (length(scale$labels) == 1 && !is.function(scale$labels) && is.na(scale$labels)) { gg_dep("0.8.9", "labels = NA is deprecated. Please use labels = NULL to remove labels in the scale.") return(NULL) }else if (is.waive(scale$labels)) { format(scale_breaks(scale), justify = "none", trim = TRUE) } else if (is.function(scale$labels)) { scale$labels(breaks) } else { if (!is.null(names(scale$labels))) { # If labels have names, use them to match with breaks labels <- breaks map <- match(names(scale$labels), labels, nomatch = 0) labels[map] <- scale$labels[map != 0] labels } else { labels <- scale$labels # Need to ensure that if breaks were dropped, corresponding labels are too pos <- attr(breaks, "pos") if (!is.null(pos)) { labels <- labels[pos] } labels } } } named_labels <- function(breaks, labels) { breaks[match(names(labels), breaks, nomatch = 0)] <- labels breaks } print.scale <- function(x, ...) { print(x$call) } scale_clone <- function(scale) UseMethod("scale_clone") #' @S3method scale_clone continuous scale_clone.continuous <- function(scale) { new <- scale new$range <- ContinuousRange$new() new } #' @S3method scale_clone discrete scale_clone.discrete <- function(scale) { new <- scale new$range <- DiscreteRange$new() new } scale_break_info <- function(scale, range = NULL) UseMethod("scale_break_info") #' @S3method scale_break_info discrete scale_break_info.discrete <- function(scale, range = NULL) { # for discrete, limits != range limits <- scale_limits(scale) major <- scale_breaks(scale, limits) if (is.null(major)) { labels <- major_n <- NULL } else { labels <- scale_labels(scale, major) labels <- labels[!is.na(labels)] major <- scale_map(scale, major) major <- major[!is.na(major)] # rescale breaks [0, 1], which are used by coord/guide major_n <- rescale(major, from = range) } list(range = range, labels = labels, major = major_n, minor = NULL, major_source = major, minor_source = NULL) } #' @S3method scale_break_info continuous scale_break_info.continuous <- function(scale, range = NULL) { # range if (is.null(range)) range <- scale_dimension(scale) # major breaks major <- scale_breaks(scale, range) # labels labels <- scale_labels(scale, major) # drop oob breaks/labels by testing major == NA if (!is.null(labels)) labels <- labels[!is.na(major)] if (!is.null(major)) major <- major[!is.na(major)] # minor breaks minor <- scale_breaks_minor(scale, b = major, limits = range) if (!is.null(minor)) minor <- minor[!is.na(minor)] # rescale breaks [0, 1], which are used by coord/guide major_n <- rescale(major, from = range) minor_n <- rescale(minor, from = range) list(range = range, labels = labels, major = major_n, minor = minor_n, major_source = major, minor_source = minor) } ggplot2/R/fortify.r0000644000175100001440000000147712114160774013730 0ustar hornikusers#' Fortify a model with data. #' #' Method to convert a generic R object into a data frame useful for plotting. #' Takes its name from the idea of fortifying the original data with model fit #' statistics, and vice versa. #' #' @seealso \code{\link{fortify.lm}} #' @S3method fortify data.frame #' @S3method fortify NULL #' @S3method fortify default #' @param model model or other R object to convert to data frame #' @param data original dataset, if needed #' @param ... other arguments passed to methods #' @export fortify <- function(model, data, ...) UseMethod("fortify") fortify.data.frame <- function(model, data, ...) model fortify.NULL <- function(model, data, ...) waiver() fortify.default <- function(model, data, ...) { stop("ggplot2 doesn't know how to deal with data of class ", class(model), call. = FALSE) } ggplot2/R/utilities-grid.r0000644000175100001440000000126412114160774015176 0ustar hornikusers# Name ggplot grid object # Convenience function to name grid objects # # @keyword internal ggname <- function(prefix, grob) { grob$name <- grobName(grob, prefix) grob } width_cm <- function(x) { if (is.grob(x)) { convertWidth(grobWidth(x), "cm", TRUE) } else if (is.list(x)) { vapply(x, width_cm, numeric(1)) } else if (is.unit(x)) { convertWidth(x, "cm", TRUE) } else { stop("Unknown input") } } height_cm <- function(x) { if (is.grob(x)) { convertWidth(grobHeight(x), "cm", TRUE) } else if (is.list(x)) { vapply(x, height_cm, numeric(1)) } else if (is.unit(x)) { convertHeight(x, "cm", TRUE) } else { stop("Unknown input") } } ggplot2/R/geom-ribbon-density.r0000644000175100001440000000162012114160774016111 0ustar hornikusers#' Display a smooth density estimate. #' #' A smooth density estimate calculated by \code{\link{stat_density}}. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "density")} #' #' @seealso \code{\link{geom_histogram}} for the histogram and #' \code{\link{stat_density}} for examples. #' @inheritParams geom_point #' @export #' @examples #' # See stat_density for examples geom_density <- function (mapping = NULL, data = NULL, stat = "density", position = "identity", na.rm = FALSE, ...) { GeomDensity$new(mapping = mapping, data = data, stat = stat, position = position, na.rm = na.rm, ...) } GeomDensity <- proto(GeomArea, { objname <- "density" default_stat <- function(.) StatDensity default_pos <- function(.) PositionIdentity default_aes <- function(.) defaults(aes(fill=NA, weight=1, colour="black", alpha = NA), GeomArea$default_aes()) }) ggplot2/R/geom-map.r0000644000175100001440000000701412114160774013741 0ustar hornikusers#' @include geom-polygon.r NULL #' Polygons from a reference map. #' #' Does not affect position scales. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "map")} #' #' @export #' @param map Data frame that contains the map coordinates. This will #' typically be created using \code{\link{fortify}} on a spatial object. #' It must contain columns \code{x} or \code{long}, \code{y} or #' \code{lat}, and \code{region} or \code{id}. #' @inheritParams geom_point #' @examples #' # When using geom_polygon, you will typically need two data frames: #' # one contains the coordinates of each polygon (positions), and the #' # other the values associated with each polygon (values). An id #' # variable links the two together #' #' ids <- factor(c("1.1", "2.1", "1.2", "2.2", "1.3", "2.3")) #' #' values <- data.frame( #' id = ids, #' value = c(3, 3.1, 3.1, 3.2, 3.15, 3.5) #' ) #' #' positions <- data.frame( #' id = rep(ids, each = 4), #' x = c(2, 1, 1.1, 2.2, 1, 0, 0.3, 1.1, 2.2, 1.1, 1.2, 2.5, 1.1, 0.3, #' 0.5, 1.2, 2.5, 1.2, 1.3, 2.7, 1.2, 0.5, 0.6, 1.3), #' y = c(-0.5, 0, 1, 0.5, 0, 0.5, 1.5, 1, 0.5, 1, 2.1, 1.7, 1, 1.5, #' 2.2, 2.1, 1.7, 2.1, 3.2, 2.8, 2.1, 2.2, 3.3, 3.2) #' ) #' #' ggplot(values) + geom_map(aes(map_id = id), map = positions) + #' expand_limits(positions) #' ggplot(values, aes(fill = value)) + #' geom_map(aes(map_id = id), map = positions) + #' expand_limits(positions) #' ggplot(values, aes(fill = value)) + #' geom_map(aes(map_id = id), map = positions) + #' expand_limits(positions) + ylim(0, 3) #' #' # Better example #' crimes <- data.frame(state = tolower(rownames(USArrests)), USArrests) #' library(reshape2) # for melt #' crimesm <- melt(crimes, id = 1) #' if (require(maps)) { #' states_map <- map_data("state") #' ggplot(crimes, aes(map_id = state)) + geom_map(aes(fill = Murder), map = states_map) + expand_limits(x = states_map$long, y = states_map$lat) #' last_plot() + coord_map() #' ggplot(crimesm, aes(map_id = state)) + geom_map(aes(fill = value), map = states_map) + expand_limits(x = states_map$long, y = states_map$lat) + facet_wrap( ~ variable) #' } geom_map <- function(mapping = NULL, data = NULL, map, stat = "identity", ...) { # Get map input into correct form stopifnot(is.data.frame(map)) if (!is.null(map$lat)) map$y <- map$lat if (!is.null(map$long)) map$x <- map$long if (!is.null(map$region)) map$id <- map$region stopifnot(all(c("x", "y", "id") %in% names(map))) GeomMap$new(geom_params = list(map = map, ...), mapping = mapping, data = data, stat = stat, ...) } GeomMap <- proto(GeomPolygon, { objname <- "map" draw_groups <- function(., data, scales, coordinates, map, ...) { # Only use matching data and map ids common <- intersect(data$map_id, map$id) data <- data[data$map_id %in% common, , drop = FALSE] map <- map[map$id %in% common, , drop = FALSE] # Munch, then set up id variable for polygonGrob - # must be sequential integers coords <- coord_munch(coordinates, map, scales) coords$group <- coords$group %||% coords$id grob_id <- match(coords$group, unique(coords$group)) # Align data with map data_rows <- match(coords$id[!duplicated(grob_id)], data$map_id) data <- data[data_rows, , drop = FALSE] polygonGrob(coords$x, coords$y, default.units = "native", id = grob_id, gp = gpar( col = data$colour, fill = alpha(data$fill, data$alpha), lwd = data$size * .pt)) } required_aes <- c("map_id") }) ggplot2/R/fortify-multcomp.r0000644000175100001440000000422412114160774015557 0ustar hornikusers#' Fortify methods for objects produced by \pkg{multcomp} #' #' @param model an object of class \code{glht}, \code{confint.glht}, #' \code{summary.glht} or \code{\link[multcomp]{cld}} #' @param data,... other arguments to the generic ignored in this method. #' @name fortify-multcomp #' @examples #' if (require("multcomp")) { #' amod <- aov(breaks ~ wool + tension, data = warpbreaks) #' wht <- glht(amod, linfct = mcp(tension = "Tukey")) #' #' fortify(wht) #' ggplot(wht, aes(lhs, estimate)) + geom_point() #' #' CI <- confint(wht) #' fortify(CI) #' ggplot(CI, aes(lhs, estimate, ymin = lwr, ymax = upr)) + #' geom_pointrange() #' #' fortify(summary(wht)) #' ggplot(mapping = aes(lhs, estimate)) + #' geom_linerange(aes(ymin = lwr, ymax = upr), data = CI) + #' geom_point(aes(size = p), data = summary(wht)) + #' scale_size(trans = "reverse") #' #' cld <- cld(wht) #' fortify(cld) #' } NULL #' @method fortify glht #' @rdname fortify-multcomp #' @export fortify.glht <- function(model, data, ...) { unrowname(data.frame( lhs = rownames(model$linfct), rhs = model$rhs, estimate = coef(model), check.names = FALSE, stringsAsFactors = FALSE)) } #' @rdname fortify-multcomp #' @method fortify confint.glht #' @export fortify.confint.glht <- function(model, data, ...) { coef <- model$confint colnames(coef) <- tolower(colnames(coef)) unrowname(data.frame( lhs = rownames(coef), rhs = model$rhs, coef, check.names = FALSE, stringsAsFactors = FALSE)) } #' @method fortify summary.glht #' @rdname fortify-multcomp #' @export fortify.summary.glht <- function(model, data, ...) { coef <- as.data.frame( model$test[c("coefficients", "sigma", "tstat", "pvalues")]) names(coef) <- c("estimate", "se", "t", "p") unrowname(data.frame( lhs = rownames(coef), rhs = model$rhs, coef, check.names = FALSE, stringsAsFactors = FALSE)) } #' @method fortify cld #' @rdname fortify-multcomp #' @export fortify.cld <- function(model, data, ...) { unrowname(data.frame( lhs = names(model$mcletters$Letters), letters = model$mcletters$Letters, check.names = FALSE, stringsAsFactors = FALSE)) } ggplot2/R/geom-freqpoly.r0000644000175100001440000000214012114160774015020 0ustar hornikusers#' Frequency polygon. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "freqpoly")} #' #' @seealso \code{\link{geom_histogram}}: histograms #' @inheritParams geom_point #' @export #' @examples #' qplot(carat, data = diamonds, geom = "freqpoly") #' qplot(carat, data = diamonds, geom = "freqpoly", binwidth = 0.1) #' qplot(carat, data = diamonds, geom = "freqpoly", binwidth = 0.01) #' #' qplot(price, data = diamonds, geom = "freqpoly", binwidth = 1000) #' qplot(price, data = diamonds, geom = "freqpoly", binwidth = 1000, #' colour = color) #' qplot(price, ..density.., data = diamonds, geom = "freqpoly", #' binwidth = 1000, colour = color) geom_freqpoly <- function (mapping = NULL, data = NULL, stat = "bin", position = "identity", ...) { GeomFreqpoly$new(mapping = mapping, data = data, stat = stat, position = position, ...) } GeomFreqpoly <- proto(Geom, { objname <- "freqpoly" default_aes <- function(.) GeomPath$default_aes() default_stat <- function(.) StatBin draw <- function(., ...) GeomPath$draw(...) guide_geom <- function(.) "path" }) ggplot2/R/aes.r0000644000175100001440000001373212114161113012777 0ustar hornikusers# all_aes <- function(y) c(names(y$default_aes()), y$required_aes) # geom_aes <- unlist(lapply(Geom$find_all(), all_aes)) # stat_aes <- unlist(lapply(Stat$find_all(), all_aes)) # all <- sort(unique(c(names(.base_to_ggplot), geom_aes, stat_aes))) # dput(all) .all_aesthetics <- c("adj", "alpha", "angle", "bg", "cex", "col", "color", "colour", "fg", "fill", "group", "hjust", "label", "linetype", "lower", "lty", "lwd", "max", "middle", "min", "order", "pch", "radius", "sample", "shape", "size", "srt", "upper", "vjust", "weight", "width", "x", "xend", "xmax", "xmin", "xintercept", "y", "yend", "ymax", "ymin", "yintercept", "z") .base_to_ggplot <- c( "col" = "colour", "color" = "colour", "pch" = "shape", "cex" = "size", "lty" = "linetype", "lwd" = "size", "srt" = "angle", "adj" = "hjust", "bg" = "fill", "fg" = "colour", "min" = "ymin", "max" = "ymax" ) #' Generate aesthetic mappings that describe how variables in the data are #' mapped to visual properties (aesthetics) of geoms. #' #' \code{aes} creates a list of unevaluated expressions. This function also #' performs partial name matching, converts color to colour, and old style R #' names to ggplot names (eg. pch to shape, cex to size) #' #' @param x x value #' @param y y value #' @param ... List of name value pairs giving aesthetics to map. #' @seealso \code{\link{aes_string}} for passing quoted variable names. #" Useful when creating plots within user defined functions. Also, #' \code{\link{aes_colour_fill_alpha}}, \code{\link{aes_group_order}}, #' \code{\link{aes_linetype_size_shape}} and \code{\link{aes_position}} #' for more specific examples with different aesthetics. #' @S3method str uneval #' @S3method print uneval #' @S3method "[" uneval #' @S3method as.character uneval #' @export #' @examples #' aes(x = mpg, y = wt) #' aes(x = mpg ^ 2, y = wt / cyl) aes <- function(x, y, ...) { aes <- structure(as.list(match.call()[-1]), class="uneval") rename_aes(aes) } print.uneval <- function(x, ...) str(unclass(x)) str.uneval <- function(object, ...) str(unclass(object), ...) "[.uneval" <- function(x, i, ...) structure(unclass(x)[i], class = "uneval") as.character.uneval <- function(x, ...) { char <- as.character(unclass(x)) names(char) <- names(x) char } # Rename American or old-style aesthetics name rename_aes <- function(x) { # Convert prefixes to full names full <- match(names(x), .all_aesthetics) names(x)[!is.na(full)] <- .all_aesthetics[full[!is.na(full)]] rename(x, .base_to_ggplot, warn_missing = FALSE) } # Look up the scale that should be used for a given aesthetic aes_to_scale <- function(var) { var[var %in% c("x", "xmin", "xmax", "xend", "xintercept")] <- "x" var[var %in% c("y", "ymin", "ymax", "yend", "yintercept")] <- "y" var } # Figure out if an aesthetic is a position aesthetic or not is_position_aes <- function(vars) { aes_to_scale(vars) %in% c("x", "y") } #' Generate aesthetic mappings from a string #' #' Aesthetic mappings describe how variables in the data are mapped to visual #' properties (aesthetics) of geoms. Compared to aes this function operates #' on strings rather than expressions. #' #' \code{aes_string} is particularly useful when writing functions that create #' plots because you can use strings to define the aesthetic mappings, rather #' than having to mess around with expressions. #' #' @param ... List of name value pairs #' @seealso \code{\link{aes}} #' @export #' @examples #' aes_string(x = "mpg", y = "wt") #' aes(x = mpg, y = wt) aes_string <- function(...) { mapping <- list(...) mapping[sapply(mapping, is.null)] <- "NULL" parsed <- lapply(mapping, function(x) parse(text = x)[[1]]) structure(rename_aes(parsed), class = "uneval") } #' Given a character vector, create a set of identity mappings #' #' @param vars vector of variable names #' @export #' @examples #' aes_all(names(mtcars)) #' aes_all(c("x", "y", "col", "pch")) aes_all <- function(vars) { names(vars) <- vars vars <- rename_aes(vars) structure( lapply(vars, function(x) parse(text=x)[[1]]), class = "uneval" ) } #' Automatic aesthetic mapping #' #' @param data data.frame or names of variables #' @param ... aesthetics that need to be explicitly mapped. #' @export #' @examples #' df <- data.frame(x = 1, y = 1, colour = 1, label = 1, pch = 1) #' aes_auto(df) #' aes_auto(names(df)) #' #' df <- data.frame(xp = 1, y = 1, colour = 1, txt = 1, foo = 1) #' aes_auto(df, x = xp, label = txt) #' aes_auto(names(df), x = xp, label = txt) #' #' df <- data.frame(foo = 1:3) #' aes_auto(df, x = xp, y = yp) #' aes_auto(df) aes_auto <- function(data = NULL, ...) { # detect names of data if (is.null(data)) { stop("aes_auto requires data.frame or names of data.frame.") } else if (is.data.frame(data)) { vars <- names(data) } else { vars <- data } # automatically detected aes vars <- intersect(.all_aesthetics, vars) names(vars) <- vars aes <- lapply(vars, function(x) parse(text=x)[[1]]) # explicitly defined aes if (length(match.call()) > 2) { args <- as.list(match.call()[-1]) aes <- c(aes, args[names(args) != "data"]) } structure(rename_aes(aes), class = "uneval") } # Aesthetic defaults # Convenience method for setting aesthetic defaults # # @param data values from aesthetic mappings # @param y. defaults # @param params. user specified values # @value a data.frame, with all factors converted to character strings aesdefaults <- function(data, y., params.) { updated <- modifyList(y., params. %||% list()) cols <- tryapply(defaults(data, updated), function(x) eval(x, data, globalenv())) # Need to be careful here because stat_boxplot uses a list-column to store # a vector of outliers cols <- Filter(function(x) is.atomic(x) || is.list(x), cols) list_vars <- sapply(cols, is.list) cols[list_vars] <- lapply(cols[list_vars], I) df <- data.frame(cols, stringsAsFactors = FALSE) factors <- sapply(df, is.factor) df[factors] <- lapply(df[factors], as.character) df } ggplot2/R/stat-summary.r0000644000175100001440000001666012114161113014700 0ustar hornikusers#' Summarise y values at every unique x. #' #' \code{stat_summary} allows for tremendous flexibilty in the specification #' of summary functions. The summary function can either operate on a data #' frame (with argument name \code{fun.data}) or on a vector (\code{fun.y}, #' \code{fun.ymax}, \code{fun.ymin}). #' #' A simple vector function is easiest to work with as you can return a single #' number, but is somewhat less flexible. If your summary function operates #' on a data.frame it should return a data frame with variables that the geom #' can use. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "summary")} #' #' @seealso \code{\link{geom_errorbar}}, \code{\link{geom_pointrange}}, #' \code{\link{geom_linerange}}, \code{\link{geom_crossbar}} for geoms to #' display summarised data #' @inheritParams stat_identity #' @return a data.frame with additional columns: #' \item{fun.data}{Complete summary function. Should take data frame as #' input and return data frame as output} #' \item{fun.ymin}{ymin summary function (should take numeric vector and #' return single number)} #' \item{fun.y}{y summary function (should take numeric vector and return #' single number)} #' \item{fun.ymax}{ymax summary function (should take numeric vector and #' return single number)} #' @export #' @examples #' \donttest{ #' # Basic operation on a small dataset #' d <- qplot(cyl, mpg, data=mtcars) #' d + stat_summary(fun.data = "mean_cl_boot", colour = "red") #' #' p <- qplot(cyl, mpg, data = mtcars, stat="summary", fun.y = "mean") #' p #' # Don't use ylim to zoom into a summary plot - this throws the #' # data away #' p + ylim(15, 30) #' # Instead use coord_cartesian #' p + coord_cartesian(ylim = c(15, 30)) #' #' # You can supply individual functions to summarise the value at #' # each x: #' #' stat_sum_single <- function(fun, geom="point", ...) { #' stat_summary(fun.y=fun, colour="red", geom=geom, size = 3, ...) #' } #' #' d + stat_sum_single(mean) #' d + stat_sum_single(mean, geom="line") #' d + stat_sum_single(median) #' d + stat_sum_single(sd) #' #' d + stat_summary(fun.y = mean, fun.ymin = min, fun.ymax = max, #' colour = "red") #' #' d + aes(colour = factor(vs)) + stat_summary(fun.y = mean, geom="line") #' #' # Alternatively, you can supply a function that operates on a data.frame. #' # A set of useful summary functions is provided from the Hmisc package: #' #' stat_sum_df <- function(fun, geom="crossbar", ...) { #' stat_summary(fun.data=fun, colour="red", geom=geom, width=0.2, ...) #' } #' #' d + stat_sum_df("mean_cl_boot") #' d + stat_sum_df("mean_sdl") #' d + stat_sum_df("mean_sdl", mult=1) #' d + stat_sum_df("median_hilow") #' #' # There are lots of different geoms you can use to display the summaries #' #' d + stat_sum_df("mean_cl_normal") #' d + stat_sum_df("mean_cl_normal", geom = "errorbar") #' d + stat_sum_df("mean_cl_normal", geom = "pointrange") #' d + stat_sum_df("mean_cl_normal", geom = "smooth") #' #' # Summaries are more useful with a bigger data set: #' mpg2 <- subset(mpg, cyl != 5L) #' m <- ggplot(mpg2, aes(x=cyl, y=hwy)) + #' geom_point() + #' stat_summary(fun.data = "mean_sdl", geom = "linerange", #' colour = "red", size = 2, mult = 1) + #' xlab("cyl") #' m #' # An example with highly skewed distributions: #' set.seed(596) #' mov <- movies[sample(nrow(movies), 1000), ] #' m2 <- ggplot(mov, aes(x= factor(round(rating)), y=votes)) + geom_point() #' m2 <- m2 + stat_summary(fun.data = "mean_cl_boot", geom = "crossbar", #' colour = "red", width = 0.3) + xlab("rating") #' m2 #' # Notice how the overplotting skews off visual perception of the mean #' # supplementing the raw data with summary statistics is _very_ important #' #' # Next, we'll look at votes on a log scale. #' #' # Transforming the scale means the data are transformed #' # first, after which statistics are computed: #' m2 + scale_y_log10() #' # Transforming the coordinate system occurs after the #' # statistic has been computed. This means we're calculating the summary on the raw data #' # and stretching the geoms onto the log scale. Compare the widths of the #' # standard errors. #' m2 + coord_trans(y="log10") #' } stat_summary <- function (mapping = NULL, data = NULL, geom = "pointrange", position = "identity", ...) { StatSummary$new(mapping = mapping, data = data, geom = geom, position = position, ...) } StatSummary <- proto(Stat, { objname <- "summary" default_geom <- function(.) GeomPointrange required_aes <- c("x", "y") calculate_groups <- function(., data, scales, fun.data = NULL, fun.y = NULL, fun.ymax = NULL, fun.ymin = NULL, na.rm = FALSE, ...) { data <- remove_missing(data, na.rm, c("x", "y"), name = "stat_summary") if (!missing(fun.data)) { # User supplied function that takes complete data frame as input fun.data <- match.fun(fun.data) fun <- function(df, ...) { fun.data(df$y, ...) } } else { # User supplied individual vector functions fs <- compact(list(ymin = fun.ymin, y = fun.y, ymax = fun.ymax)) fun <- function(df, ...) { res <- llply(fs, function(f) do.call(f, list(df$y, ...))) names(res) <- names(fs) as.data.frame(res) } } summarise_by_x(data, fun, ...) } }) # Summarise a data.frame by parts # Summarise a data frame by unique value of x # # This function is used by \code{\link{stat_summary}} to break a # data.frame into pieces, summarise each piece, and join the pieces # back together, retaining original columns unaffected by the summary. # # @param \code{\link{data.frame}} to summarise # @param vector to summarise by # @param summary function (must take and return a data.frame) # @param other arguments passed on to summary function # @keyword internal summarise_by_x <- function(data, summary, ...) { summary <- ddply(data, .(group, x), summary, ...) unique <- ddply(data, .(group, x), uniquecols) unique$y <- NULL merge(summary, unique, by = c("x", "group")) } #' Wrap up a selection of summary functions from Hmisc to make it easy to use #' with \code{\link{stat_summary}}. #' #' See the Hmisc documentation for details of their options. #' #' @param x a numeric vector #' @param ... other arguments passed on to the respective Hmisc function. #' @seealso \code{\link[Hmisc]{smean.cl.boot}}, #' \code{\link[Hmisc]{smean.cl.normal}}, \code{\link[Hmisc]{smean.sdl}}, #' \code{\link[Hmisc]{smedian.hilow}} #' @name hmisc NULL wrap_hmisc <- function(fun) { function(x, ...) { try_require("Hmisc") result <- safe.call(fun, list(x = x, ...)) rename( data.frame(t(result)), c(Median = "y", Mean = "y", Lower = "ymin", Upper = "ymax"), warn_missing = FALSE ) } } #' @export #' @rdname hmisc mean_cl_boot <- wrap_hmisc("smean.cl.boot") #' @export #' @rdname hmisc mean_cl_normal <- wrap_hmisc("smean.cl.normal") #' @export #' @rdname hmisc mean_sdl <- wrap_hmisc("smean.sdl") #' @export #' @rdname hmisc median_hilow <- wrap_hmisc("smedian.hilow") #' Calculate mean and standard errors on either side. #' #' @param x numeric vector #' @param mult number of multiples of standard error #' @seealso for use with \code{\link{stat_summary}} #' @export mean_se <- function(x, mult = 1) { x <- na.omit(x) se <- mult * sqrt(var(x) / length(x)) mean <- mean(x) data.frame(y = mean, ymin = mean - se, ymax = mean + se) } ggplot2/R/layer.r0000644000175100001440000002053112114161113013336 0ustar hornikusers# Create a new layer # Layer objects store the layer of an object. # # They have the following attributes: # # * data # * geom + parameters # * statistic + parameters # * position + parameters # * aesthetic mapping # * flag for display guide: TRUE/FALSE/NA. in the case of NA, decision depends on a guide itself. # # Can think about grob creation as a series of data frame transformations. Layer <- proto(expr = { geom <- NULL geom_params <- NULL stat <- NULL stat_params <- NULL data <- NULL mapping <- NULL position <- NULL params <- NULL inherit.aes <- FALSE new <- function (., geom=NULL, geom_params=NULL, stat=NULL, stat_params=NULL, data=NULL, mapping=NULL, position=NULL, params=NULL, ..., inherit.aes = TRUE, legend = NA, subset = NULL, show_guide = NA) { # now, as for the guide, we can choose only if the layer is included or not in the guide: guide = TRUE or guide = FALSE # in future, it may be better if we can choose which aes of this layer is included in the guide, e.g.: guide = c(colour = TRUE, size = FALSE) if (!is.na(legend)) { gg_dep("0.8.9", "\"legend\" argument in geom_XXX and stat_XXX is deprecated. Use show_guide = TRUE or show_guide = FALSE for display or suppress the guide display.") show_guide = legend } if (!is.na(show_guide) && !is.logical(show_guide)) { warning("`show_guide` in geom_XXX and stat_XXX must be logical.") show_guide = FALSE } if (is.null(geom) && is.null(stat)) stop("Need at least one of stat and geom") data <- fortify(data) if (!is.null(mapping) && !inherits(mapping, "uneval")) stop("Mapping should be a list of unevaluated mappings created by aes or aes_string") if (is.character(geom)) geom <- Geom$find(geom) if (is.character(stat)) stat <- Stat$find(stat) if (is.character(position)) position <- Position$find(position)$new() if (is.null(geom)) geom <- stat$default_geom() if (is.null(stat)) stat <- geom$default_stat() if (is.null(position)) position <- geom$default_pos()$new() match.params <- function(possible, params) { if ("..." %in% names(possible)) { params } else { params[match(names(possible), names(params), nomatch=0)] } } if (is.null(geom_params) && is.null(stat_params)) { params <- c(params, list(...)) params <- rename_aes(params) # Rename American to British spellings etc geom_params <- match.params(geom$parameters(), params) stat_params <- match.params(stat$parameters(), params) stat_params <- stat_params[setdiff(names(stat_params), names(geom_params))] } else { geom_params <- rename_aes(geom_params) } proto(., geom=geom, geom_params=geom_params, stat=stat, stat_params=stat_params, data=data, mapping=mapping, subset=subset, position=position, inherit.aes = inherit.aes, show_guide = show_guide, ) } clone <- function(.) as.proto(.$as.list(all.names=TRUE)) use_defaults <- function(., data) { df <- aesdefaults(data, .$geom$default_aes(), NULL) # Override mappings with atomic parameters gp <- intersect(c(names(df), .$geom$required_aes), names(.$geom_params)) gp <- gp[unlist(lapply(.$geom_params[gp], is.atomic))] # Check that mappings are compatable length: either 1 or the same length # as the data param_lengths <- vapply(.$geom_params[gp], length, numeric(1)) bad <- param_lengths != 1L & param_lengths != nrow(df) if (any(bad)) { stop("Incompatible lengths for set aesthetics: ", paste(names(bad), collapse = ", "), call. = FALSE) } df[gp] <- .$geom_params[gp] df } layer_mapping <- function(., mapping = NULL) { # For certain geoms, it is useful to be able to ignore the default # aesthetics and only use those set in the layer if (.$inherit.aes) { aesthetics <- compact(defaults(.$mapping, mapping)) } else { aesthetics <- .$mapping } # Drop aesthetics that are set or calculated set <- names(aesthetics) %in% names(.$geom_params) calculated <- is_calculated_aes(aesthetics) aesthetics[!set & !calculated] } pprint <- function(.) { if (is.null(.$geom)) { cat("Empty layer\n") return(invisible()); } if (!is.null(.$mapping)) { cat("mapping:", clist(.$mapping), "\n") } .$geom$print(newline=FALSE) cat(clist(.$geom_params), "\n") .$stat$print(newline=FALSE) cat(clist(.$stat_params), "\n") .$position$print() } compute_aesthetics <- function(., data, plot) { aesthetics <- .$layer_mapping(plot$mapping) if (!is.null(.$subset)) { include <- data.frame(eval.quoted(.$subset, data, plot$env)) data <- data[rowSums(include, na.rm = TRUE) == ncol(include), ] } # Override grouping if set in layer. if (!is.null(.$geom_params$group)) { aesthetics["group"] <- .$geom_params$group } scales_add_defaults(plot$scales, data, aesthetics, plot$plot_env) # Evaluate aesthetics in the context of their data frame evaled <- compact( eval.quoted(aesthetics, data, plot$plot_env)) lengths <- vapply(evaled, length, integer(1)) n <- if (length(lengths) > 0) max(lengths) else 0 wrong <- lengths != 1 & lengths != n if (any(wrong)) { stop("Aesthetics must either be length one, or the same length as the data", "Problems:", paste(aesthetics[wrong], collapse = ", "), call. = FALSE) } if (empty(data) && n > 0) { # No data, and vectors suppled to aesthetics evaled$PANEL <- 1 } else { evaled$PANEL <- data$PANEL } data.frame(evaled) } calc_statistic <- function(., data, scales) { if (empty(data)) return(data.frame()) check_required_aesthetics(.$stat$required_aes, c(names(data), names(.$stat_params)), paste("stat_", .$stat$objname, sep="")) res <- NULL try(res <- do.call(.$stat$calculate_groups, c( list(data=as.name("data"), scales=as.name("scales")), .$stat_params) )) if (is.null(res)) return(data.frame()) res } map_statistic <- function(., data, plot) { if (empty(data)) return(data.frame()) # Assemble aesthetics from layer, plot and stat mappings aesthetics <- .$mapping if (.$inherit.aes) { aesthetics <- defaults(aesthetics, plot$mapping) } aesthetics <- defaults(aesthetics, .$stat$default_aes()) aesthetics <- compact(aesthetics) new <- strip_dots(aesthetics[is_calculated_aes(aesthetics)]) if (length(new) == 0) return(data) # Add map stat output to aesthetics stat_data <- as.data.frame(lapply(new, eval, data, baseenv())) names(stat_data) <- names(new) # Add any new scales, if needed scales_add_defaults(plot$scales, data, new, plot$plot_env) # Transform the values, if the scale say it's ok # (see stat_spoke for one exception) if (.$stat$retransform) { stat_data <- scales_transform_df(plot$scales, stat_data) } cunion(stat_data, data) } reparameterise <- function(., data) { if (empty(data)) return(data.frame()) .$geom$reparameterise(data, .$geom_params) } adjust_position <- function(., data) { ddply(data, "PANEL", function(data) { .$position$adjust(data) }) } make_grob <- function(., data, scales, cs) { if (empty(data)) return(zeroGrob()) data <- .$use_defaults(data) check_required_aesthetics(.$geom$required_aes, c(names(data), names(.$geom_params)), paste("geom_", .$geom$objname, sep="")) do.call(.$geom$draw_groups, c( data = list(as.name("data")), scales = list(as.name("scales")), coordinates = list(as.name("cs")), .$geom_params )) } class <- function(.) "layer" }) #' Create a new layer #' #' @keywords internal #' @export layer <- Layer$new # Determine if aesthetic is calculated is_calculated_aes <- function(aesthetics) { match <- "\\.\\.([a-zA-z._]+)\\.\\." stats <- rep(FALSE, length(aesthetics)) grepl(match, sapply(aesthetics, deparse)) } # Strip dots from expressions strip_dots <- function(aesthetics) { match <- "\\.\\.([a-zA-z._]+)\\.\\." strings <- lapply(aesthetics, deparse) strings <- lapply(strings, gsub, pattern = match, replacement = "\\1") lapply(strings, function(x) parse(text = x)[[1]]) } ggplot2/R/facet-wrap.r0000644000175100001440000001740312114161113014257 0ustar hornikusers#' Wrap a 1d ribbon of panels into 2d. #' #' @param nrow number of rows #' @param ncol number of columns #' @param facets formula specifying variables to facet by #' @param scales should scales be fixed (\code{"fixed"}, the default), #' free (\code{"free"}), or free in one dimension (\code{"free_x"}, #' \code{"free_y"}) #' @inheritParams facet_grid #' @export #' @examples #' \donttest{ #' d <- ggplot(diamonds, aes(carat, price, fill = ..density..)) + #' xlim(0, 2) + stat_binhex(na.rm = TRUE) + theme(aspect.ratio = 1) #' d + facet_wrap(~ color) #' d + facet_wrap(~ color, ncol = 1) #' d + facet_wrap(~ color, ncol = 4) #' d + facet_wrap(~ color, nrow = 1) #' d + facet_wrap(~ color, nrow = 3) #' #' # Using multiple variables continues to wrap the long ribbon of #' # plots into 2d - the ribbon just gets longer #' # d + facet_wrap(~ color + cut) #' #' # To change plot order of facet wrap, #' # change the order of varible levels with factor() #' diamonds$color <- factor(diamonds$color, levels = c("G", "J", "D", "E", "I", "F", "H")) #' # Repeat first example with new order #' d <- ggplot(diamonds, aes(carat, price, fill = ..density..)) + #' xlim(0, 2) + stat_binhex(na.rm = TRUE) + theme(aspect.ratio = 1) #' d + facet_wrap(~ color) #' #' # You can choose to keep the scales constant across all panels #' # or vary the x scale, the y scale or both: #' p <- qplot(price, data = diamonds, geom = "histogram", binwidth = 1000) #' p + facet_wrap(~ color) #' p + facet_wrap(~ color, scales = "free_y") #' #' p <- qplot(displ, hwy, data = mpg) #' p + facet_wrap(~ cyl) #' p + facet_wrap(~ cyl, scales = "free") #' #' # Use as.table to to control direction of horizontal facets, TRUE by default #' p + facet_wrap(~ cyl, as.table = FALSE) #' #' # Add data that does not contain all levels of the faceting variables #' cyl6 <- subset(mpg, cyl == 6) #' p + geom_point(data = cyl6, colour = "red", size = 1) + #' facet_wrap(~ cyl) #' p + geom_point(data = transform(cyl6, cyl = 7), colour = "red") + #' facet_wrap(~ cyl) #' p + geom_point(data = transform(cyl6, cyl = NULL), colour = "red") + #' facet_wrap(~ cyl) #' } facet_wrap <- function(facets, nrow = NULL, ncol = NULL, scales = "fixed", shrink = TRUE, as.table = TRUE, drop = TRUE) { scales <- match.arg(scales, c("fixed", "free_x", "free_y", "free")) free <- list( x = any(scales %in% c("free_x", "free")), y = any(scales %in% c("free_y", "free")) ) facet( facets = as.quoted(facets), free = free, shrink = shrink, as.table = as.table, drop = drop, ncol = ncol, nrow = nrow, subclass = "wrap" ) } #' @S3method facet_train_layout wrap facet_train_layout.wrap <- function(facet, data) { panels <- layout_wrap(data, facet$facets, facet$nrow, facet$ncol, facet$as.table, facet$drop) n <- nrow(panels) nrow <- max(panels$ROW) # Add scale identification panels$SCALE_X <- if (facet$free$x) seq_len(n) else 1L panels$SCALE_Y <- if (facet$free$y) seq_len(n) else 1L # Figure out where axes should go panels$AXIS_X <- if (facet$free$x) TRUE else panels$ROW == nrow panels$AXIS_Y <- if (facet$free$y) TRUE else panels$COL == 1 panels } #' @S3method facet_map_layout wrap facet_map_layout.wrap <- function(facet, data, layout) { locate_wrap(data, layout, facet$facets) } # How to think about facet wrap: # * vector of panels # * every panel has strips (strip_pos) and axes (axis_pos) # * if scales fixed, most axes empty # * combine panels, strips and axes, then wrap into 2d # * finally: add title, labels and legend # #' @S3method facet_render wrap facet_render.wrap <- function(facet, panel, coord, theme, geom_grobs) { # If coord is (non-cartesian or flip) and (x is free or y is free) # then print a warning if ((!inherits(coord, "cartesian") || inherits(coord, "flip")) && (facet$free$x || facet$free$y)) { stop("ggplot2 does not currently support free scales with a non-cartesian coord or coord_flip.\n") } # If user hasn't set aspect ratio, and we have fixed scales, then # ask the coordinate system if it wants to specify one aspect_ratio <- theme$aspect.ratio if (is.null(aspect_ratio) && !facet$free$x && !facet$free$y) { aspect_ratio <- coord_aspect(coord, panel$ranges[[1]]) } if (is.null(aspect_ratio)) { aspect_ratio <- 1 respect <- FALSE } else { respect <- TRUE } layout <- panel$layout ncol <- max(layout$COL) nrow <- max(layout$ROW) n <- nrow(layout) panels <- facet_panels(facet, panel, coord, theme, geom_grobs) axes <- facet_axes(facet, panel, coord, theme) strips <- facet_strips(facet, panel, theme) # Should become facet_arrange_grobs # Locate each element in panel find_pos <- function(layout, loc, size) { n <- nrow(layout) l <- size[1] * (layout$COL - 1) + loc[1] t <- size[2] * (layout$ROW - 1) + loc[2] data.frame(t = t, r = l, b = t, l = l, id = seq_len(n)) } locs <- list( panel = c(2, 2), strip_t = c(2, 1), axis_l = c(1, 2), axis_b = c(2, 3), hspace = c(2, 4), vspace = c(3, 2) ) grobs <- list( panel = panels, strip_t = strips$t, axis_l = axes$l, axis_b = axes$b ) info <- ldply(locs, find_pos, layout = layout, size = c(3, 4)) names(info)[1] <- "type" info$clip <- ifelse(info$type == "panel", "on", "off") info$name <- paste(info$type, info$id, sep = "-") # Bare numbers are taken as cm # If not listed, assume is unit(1, "null") widths <- list( axis_l = width_cm(grobs$axis_l), vspace = ifelse(layout$COL == ncol, 0, height_cm(theme$panel.margin)) ) heights <- list( panel = unit(aspect_ratio, "null"), strip_t = height_cm(grobs$strip_t), axis_b = height_cm(grobs$axis_b), hspace = ifelse(layout$ROW == nrow, 0, height_cm(theme$panel.margin)) ) col_widths <- compute_grob_widths(info, widths) row_heights <- compute_grob_heights(info, heights) # Create the gtable for the legend gt <- gtable(widths = col_widths, heights = row_heights, respect = respect) # Keep only the rows in info that refer to grobs info <- info[info$type %in% names(grobs), ] grobs <- unlist(grobs, recursive = FALSE) # Add the grobs gt <- gtable_add_grob(gt, grobs, l = info$l, t = info$t, r = info$r, b = info$b, name = info$name, clip = info$clip) gt } #' @S3method facet_panels wrap facet_panels.wrap <- function(facet, panel, coord, theme, geom_grobs) { panels <- panel$layout$PANEL lapply(panels, function(i) { fg <- coord_render_fg(coord, panel$range[[i]], theme) bg <- coord_render_bg(coord, panel$range[[i]], theme) geom_grobs <- lapply(geom_grobs, "[[", i) panel_grobs <- c(list(bg), geom_grobs, list(fg)) ggname(paste("panel", i, sep = "-"), gTree(children = do.call("gList", panel_grobs))) }) } #' @S3method facet_strips wrap facet_strips.wrap <- function(facet, panel, theme) { labels_df <- panel$layout[names(facet$facets)] labels_df[] <- llply(labels_df, format, justify = "none") labels <- apply(labels_df, 1, paste, collapse=", ") list(t = llply(labels, ggstrip, theme = theme)) } #' @S3method facet_axes wrap facet_axes.wrap <- function(facet, panel, coord, theme) { panels <- panel$layout$PANEL axes <- list() axes$b <- lapply(panels, function(i) { if (panel$layout$AXIS_X[i]) { grob <- coord_render_axis_h(coord, panel$range[[i]], theme) } else { grob <- zeroGrob() } ggname(paste("axis-b-", i, sep = ""), grob) }) axes$l <- lapply(panels, function(i) { if (panel$layout$AXIS_Y[i]) { grob <- coord_render_axis_v(coord, panel$range[[i]], theme) } else { grob <- zeroGrob() } ggname(paste("axis-l-", i, sep = ""), grob) }) axes } #' @S3method facet_vars wrap facet_vars.wrap <- function(facet) { paste(lapply(facet$facets, paste, collapse = ", "), collapse = " ~ ") } ggplot2/R/scale-continuous.r0000644000175100001440000001003012114161113015506 0ustar hornikusers#' Continuous position scales (x & y). #' #' @param ... common continuous scale parameters: \code{name}, \code{breaks}, #' \code{labels}, \code{na.value}, \code{limits} and \code{trans}. See #' \code{\link{continuous_scale}} for more details #' @param expand a numeric vector of length two giving multiplicative and #' additive expansion constants. These constants ensure that the data is #' placed some distance away from the axes. #' @family position scales #' @rdname scale_continuous #' @export #' @examples #' \donttest{ #' (m <- qplot(rating, votes, data=subset(movies, votes > 1000), #' na.rm = TRUE)) #' #' # Manipulating the default position scales lets you: #' #' # * change the axis labels #' m + scale_y_continuous("number of votes") #' m + scale_y_continuous(expression(votes^alpha)) #' #' # * modify the axis limits #' m + scale_y_continuous(limits=c(0, 5000)) #' m + scale_y_continuous(limits=c(1000, 10000)) #' m + scale_x_continuous(limits=c(7, 8)) #' #' # you can also use the short hand functions xlim and ylim #' m + ylim(0, 5000) #' m + ylim(1000, 10000) #' m + xlim(7, 8) #' #' # * choose where the ticks appear #' m + scale_x_continuous(breaks=1:10) #' m + scale_x_continuous(breaks=c(1,3,7,9)) #' #' # * manually label the ticks #' m + scale_x_continuous(breaks=c(2,5,8), labels=c("two", "five", "eight")) #' m + scale_x_continuous(breaks=c(2,5,8), labels=c("horrible", "ok", "awesome")) #' m + scale_x_continuous(breaks=c(2,5,8), labels=expression(Alpha, Beta, Omega)) #' #' # There are a few built in transformation that you can use: #' m + scale_y_log10() #' m + scale_y_sqrt() #' m + scale_y_reverse() #' # You can also create your own and supply them to the trans argument. #' # See ?scale::trans_new #' #' # You can control the formatting of the labels with the formatter #' # argument. Some common formats are built into the scales package: #' x <- rnorm(10) * 100000 #' y <- seq(0, 1, length = 10) #' p <- qplot(x, y) #' library(scales) #' p + scale_y_continuous(labels = percent) #' p + scale_y_continuous(labels = dollar) #' p + scale_x_continuous(labels = comma) #' #' # qplot allows you to do some of this with a little less typing: #' # * axis limits #' qplot(rating, votes, data=movies, ylim=c(1e4, 5e4)) #' # * axis labels #' qplot(rating, votes, data=movies, xlab="My x axis", ylab="My y axis") #' # * log scaling #' qplot(rating, votes, data=movies, log="xy") #' } scale_x_continuous <- function(..., expand = waiver()) { continuous_scale(c("x", "xmin", "xmax", "xend", "xintercept"), "position_c", identity, ..., expand = expand, guide = "none") } #' @rdname scale_continuous #' @export scale_y_continuous <- function(..., expand = waiver()) { continuous_scale(c("y", "ymin", "ymax", "yend", "yintercept", "ymin_final", "ymax_final"), "position_c", identity, ..., expand = expand, guide = "none") } # Position aesthetics don't map, because the coordinate system takes # care of it. But they do need to be made in to doubles, so stat methods # can tell the difference between continuous and discrete data. #' @S3method scale_map position_c scale_map.position_c <- function(scale, x, limits = scale_limits(scale)) { scaled <- as.numeric(scale$oob(x, limits)) ifelse(!is.na(scaled), scaled, scale$na.value) } # Transformed scales --------------------------------------------------------- #' @rdname scale_continuous #' @export scale_x_log10 <- function(...) { scale_x_continuous(..., trans = log10_trans()) } #' @rdname scale_continuous #' @export scale_y_log10 <- function(...) { scale_y_continuous(..., trans = log10_trans()) } #' @rdname scale_continuous #' @export scale_x_reverse <- function(...) { scale_x_continuous(..., trans = reverse_trans()) } #' @rdname scale_continuous #' @export scale_y_reverse <- function(...) { scale_y_continuous(..., trans = reverse_trans()) } #' @rdname scale_continuous #' @export scale_x_sqrt <- function(...) { scale_x_continuous(..., trans = sqrt_trans()) } #' @rdname scale_continuous #' @export scale_y_sqrt <- function(...) { scale_y_continuous(..., trans = sqrt_trans()) } ggplot2/R/plot-construction.r0000644000175100001440000000741212114160774015747 0ustar hornikusers#' Modify a ggplot or theme object by adding on new components. #' #' This operator allows you to add objects to a ggplot or theme object. #' #' If the first object is an object of class \code{ggplot}, you can add #' the following types of objects, and it will return a modified ggplot #' object. #' #' \itemize{ #' \item \code{data.frame}: replace current data.frame #' (must use \code{\%+\%}) #' \item \code{uneval}: replace current aesthetics #' \item \code{layer}: add new layer #' \item \code{theme}: update plot theme #' \item \code{scale}: replace current scale #' \item \code{coord}: override current coordinate system #' \item \code{facet}: override current coordinate faceting #' } #' #' If the first object is an object of class \code{theme}, you can add #' another theme object. This will return a modified theme object. #' #' For theme objects, the \code{+} operator and the \code{\%+replace\%} #' can be used to modify elements in themes. #' #' The \code{+} operator completely replaces elements #' with elements from e2. #' #' In contrast, the \code{\%+replace\%} operator does not replace the #' entire element; it only updates element properties which are present #' (not NULL) in the second object. #' #' @examples #' #' ### Adding objects to a ggplot object #' p <- qplot(wt, mpg, colour = hp, data = mtcars) #' #' p + coord_cartesian(ylim = c(0, 40)) #' p + scale_colour_continuous(breaks = c(100, 300)) #' p + guides(colour = "colourbar") #' #' # Use a different data frame #' m <- mtcars[1:10, ] #' p %+% m #' #' #' ### Adding objects to a theme object #' # Compare these results of adding theme objects to other theme objects #' add_el <- theme_grey() + theme(text = element_text(family = "Times")) #' rep_el <- theme_grey() %+replace% theme(text = element_text(family = "Times")) #' #' add_el$text #' rep_el$text #' #' @param e1 An object of class \code{ggplot} or \code{theme} #' @param e2 A component to add to \code{e1} #' #' @export #' #' @seealso \code{\link{theme}} #' @method + gg #' @rdname gg-add "+.gg" <- function(e1, e2) { # Get the name of what was passed in as e2, and pass along so that it # can be displayed in error messages e2name <- deparse(substitute(e2)) if (is.theme(e1)) add_theme(e1, e2, e2name) else if (is.ggplot(e1)) add_ggplot(e1, e2, e2name) } #' @rdname gg-add #' @export "%+%" <- `+.gg` add_ggplot <- function(p, object, objectname) { if (is.null(object)) return(p) p <- plot_clone(p) if (is.data.frame(object)) { p$data <- object } else if (is.theme(object)) { p$theme <- update_theme(p$theme, object) } else if (inherits(object, "scale")) { p$scales$add(object) } else if(inherits(object, "labels")) { p <- update_labels(p, object) } else if(inherits(object, "guides")) { p <- update_guides(p, object) } else if(inherits(object, "uneval")) { p$mapping <- defaults(object, p$mapping) labels <- lapply(object, deparse) names(labels) <- names(object) p <- update_labels(p, labels) } else if (is.coord(object)) { p$coordinates <- object p } else if (is.facet(object)) { p$facet <- object p } else if(is.list(object)) { for (o in object) { p <- p + o } } else if(is.proto(object)) { p <- switch(object$class(), layer = { p$layers <- append(p$layers, object) # Add any new labels mapping <- make_labels(object$mapping) default <- make_labels(object$stat$default_aes()) new_labels <- defaults(mapping, default) p$labels <- defaults(p$labels, new_labels) p }, coord = { p$coordinates <- object p } ) } else { stop("Don't know how to add ", objectname, " to a plot", call. = FALSE) } set_last_plot(p) p } ggplot2/R/position-.r0000644000175100001440000000230412114160774014155 0ustar hornikusers# Position adjustment occurs over all groups within a geom # They work only with discrete x scales and may affect x and y position. # Should occur after statistics and scales have been applied. Position <- proto(TopLevel, expr = { adjust <- function(., data, scales, ...) data class <- function(.) "position" width <- NULL height <- NULL new <- function(., width = NULL, height = NULL) { .$proto(width = width, height = height) } parameters <- function(.) { pnames <- setdiff(names(formals(get("new", .))), ".") values <- lapply(pnames, get, envir = .) names(values) <- pnames values } pprint <- function(., newline=TRUE) { cat("position_", .$objname, ": (", clist(.$parameters()), ")", sep="") if (newline) cat("\n") } }) # Convenience function to ensure that all position variables # (x, xmin, xmax, xend) are transformed in the same way transform_position <- function(df, trans_x = NULL, trans_y = NULL, ...) { scales <- aes_to_scale(names(df)) if (!is.null(trans_x)) { df[scales == "x"] <- lapply(df[scales == "x"], trans_x, ...) } if (!is.null(trans_y)) { df[scales == "y"] <- lapply(df[scales == "y"], trans_y, ...) } df } ggplot2/R/utilities-resolution.r0000644000175100001440000000154712114160774016460 0ustar hornikusers#' Compute the "resolution" of a data vector. #' #' The resolution is is the smallest non-zero distance between adjacent #' values. If there is only one unique value, then the resolution is defined #' to be one. #' #' If x is an integer vector, then it is assumed to represent a discrete #' variable, and the resolution is 1. #' #' @param x numeric vector #' @param zero should a zero value be automatically included in the #' computation of resolution #' @export #' @examples #' resolution(1:10) #' resolution((1:10) - 0.5) #' resolution((1:10) - 0.5, FALSE) #' resolution(c(1,2, 10, 20, 50)) #' resolution(as.integer(c(1, 10, 20, 50))) # Returns 1 resolution <- function(x, zero = TRUE) { if (is.integer(x) || zero_range(range(x, na.rm = TRUE))) return(1) x <- unique(as.numeric(x)) if (zero) { x <- unique(c(0, x)) } min(diff(sort(x))) } ggplot2/R/facet-layout.r0000644000175100001440000001121712114160774014634 0ustar hornikusers# Layout panels in a 2d grid. # # @params data list of data frames, one for each layer # @params rows variables that form the rows # @params cols variables that form the columns # @return a data frame with columns \code{PANEL}, \code{ROW} and \code{COL}, # that match the facetting variable values up with their position in the # grid layout_grid <- function(data, rows = NULL, cols = NULL, margins = NULL, drop = TRUE, as.table = TRUE) { if (length(rows) == 0 && length(cols) == 0) return(layout_null()) rows <- as.quoted(rows) cols <- as.quoted(cols) base_rows <- layout_base(data, rows, drop = drop) if (!as.table) { rev_order <- function(x) factor(x, levels = rev(ulevels(x))) base_rows[] <- lapply(base_rows, rev_order) } base_cols <- layout_base(data, cols, drop = drop) base <- df.grid(base_rows, base_cols) # Add margins base <- add_margins(base, list(names(rows), names(cols)), margins) # Work around bug in reshape2 base <- unique(base) # Create panel info dataset panel <- id(base, drop = TRUE) panel <- factor(panel, levels = seq_len(attr(panel, "n"))) rows <- if (is.null(names(rows))) 1L else id(base[names(rows)], drop = TRUE) cols <- if (is.null(names(cols))) 1L else id(base[names(cols)], drop = TRUE) panels <- data.frame(PANEL = panel, ROW = rows, COL = cols, base) arrange(panels, PANEL) } # Layout out panels in a 1d ribbon. # # @params drop should missing combinations be excluded from the plot? # @keywords internal layout_wrap <- function(data, vars = NULL, nrow = NULL, ncol = NULL, as.table = TRUE, drop = TRUE) { vars <- as.quoted(vars) if (length(vars) == 0) return(layout_null()) base <- unrowname(layout_base(data, vars, drop = drop)) id <- id(base, drop = TRUE) n <- attr(id, "n") dims <- wrap_dims(n, nrow, ncol) layout <- data.frame(PANEL = factor(id, levels = seq_len(n))) if (as.table) { layout$ROW <- as.integer((id - 1L) %/% dims[2] + 1L) } else { layout$ROW <- as.integer(dims[1] - (id - 1L) %/% dims[2]) } layout$COL <- as.integer((id - 1L) %% dims[2] + 1L) panels <- cbind(layout, unrowname(base)) panels[order(panels$PANEL), ] } layout_null <- function(data) { data.frame(PANEL = 1, ROW = 1, COL = 1) } # Base layout function that generates all combinations of data needed for # facetting # The first data frame in the list should be the default data for the plot. # Other data frames in the list are ones that are added to layers. # # @params data list of data frames (one for each layer) # @keywords internal layout_base <- function(data, vars = NULL, drop = TRUE) { if (length(vars) == 0) return(data.frame()) # For each layer, compute the facet values values <- compact(llply(data, quoted_df, vars = vars)) # Form the base data frame which contains all combinations of facetting # variables that appear in the data has_all <- unlist(llply(values, length)) == length(vars) if (!any(has_all)) { stop("At least one layer must contain all variables used for facetting") } base <- unique(ldply(values[has_all])) if (!drop) { base <- unique_combs(base) } # Systematically add on missing combinations for (value in values[!has_all]) { if (empty(value)) next; old <- base[setdiff(names(base), names(value))] new <- unique(value[intersect(names(base), names(value))]) if (drop) { new <- unique_combs(new) } base <- rbind(base, df.grid(old, new)) } if (is.null(base)) { stop("Faceting variables must have at least one value") } base } ulevels <- function(x) { if (is.factor(x)) { x <- addNA(x, TRUE) factor(levels(x), levels(x), exclude = NULL) } else { sort(unique(x)) } } unique_combs <- function(df) { if (length(df) == 0) return() unique_values <- llply(df, ulevels) rev(expand.grid(rev(unique_values), stringsAsFactors = FALSE, KEEP.OUT.ATTRS = TRUE)) } df.grid <- function(a, b) { if (nrow(a) == 0) return(b) if (nrow(b) == 0) return(a) indexes <- expand.grid( i_a = seq_len(nrow(a)), i_b = seq_len(nrow(b)) ) unrowname(cbind( a[indexes$i_a, , drop = FALSE], b[indexes$i_b, , drop = FALSE] )) } quoted_df <- function(data, vars) { values <- eval.quoted(vars, data, emptyenv(), try = TRUE) as.data.frame(compact(values)) } # Arrange 1d structure into a grid wrap_dims <- function(n, nrow = NULL, ncol = NULL) { if (is.null(ncol) && is.null(nrow)) { rc <- grDevices::n2mfrow(n) nrow <- rc[2] ncol <- rc[1] } else if (is.null(ncol)) { ncol <- ceiling(n / nrow) } else if (is.null(nrow)) { nrow <- ceiling(n / ncol) } stopifnot(nrow * ncol >= n) c(nrow, ncol) } ggplot2/R/matrix.r0000644000175100001440000000276312114161113013535 0ustar hornikusers#' Code to create a scatterplot matrix (experimental) #' #' @param data data frame #' @param mapping any additional aesthetic mappings (do not use x and y) #' @param colour default point colour #' @keywords hplot #' @export #' @examples #' plotmatrix(mtcars[, 1:3]) #' plotmatrix(mtcars[, 1:3]) + geom_smooth(method="lm") plotmatrix <- function(data, mapping=aes(), colour="black") { gg_dep("0.9.2", "This function is deprecated. For a replacement, see the ggpairs function in the GGally package.") # data <- rescaler(data, "range") grid <- expand.grid(x=1:ncol(data), y=1:ncol(data)) grid <- subset(grid, x != y) all <- do.call("rbind", lapply(1:nrow(grid), function(i) { xcol <- grid[i, "x"] ycol <- grid[i, "y"] data.frame( xvar = names(data)[ycol], yvar = names(data)[xcol], x = data[, xcol], y = data[, ycol], data ) })) all$xvar <- factor(all$xvar, levels=names(data)) all$yvar <- factor(all$yvar, levels=names(data)) densities <- do.call("rbind", lapply(1:ncol(data), function(i) { data.frame( xvar = names(data)[i], yvar = names(data)[i], x = data[, i] ) })) mapping <- defaults(mapping, aes_string(x="x", y="y")) class(mapping) <- "uneval" ggplot(all, mapping) + facet_grid(xvar ~ yvar, scales = "free") + geom_point(colour = colour, na.rm = TRUE) + stat_density( aes(x = x, y = ..scaled.. * diff(range(x)) + min(x)), data = densities, position ="identity", colour = "grey20", geom = "line" ) } ggplot2/R/scale-gradient2.r0000644000175100001440000000546212114160774015210 0ustar hornikusers#' Diverging colour gradient #' #' @inheritParams scale_colour_hue #' @inheritParams scales::div_gradient_pal #' @param midpoint The midpoint (in data value) of the diverging scale. #' Defaults to 0. #' @param guide Type of legend. Use \code{"colourbar"} for continuous #' colour bar, or \code{"legend"} for discrete colour legend. #' @family colour scales #' @rdname scale_gradient2 #' @export #' @examples #' \donttest{ #' dsub <- subset(diamonds, x > 5 & x < 6 & y > 5 & y < 6) #' dsub$diff <- with(dsub, sqrt(abs(x-y))* sign(x-y)) #' (d <- qplot(x, y, data=dsub, colour=diff)) #' #' d + scale_colour_gradient2() #' # Change scale name #' d + scale_colour_gradient2(expression(sqrt(abs(x - y)))) #' d + scale_colour_gradient2("Difference\nbetween\nwidth and\nheight") #' #' # Change limits and colours #' d + scale_colour_gradient2(limits=c(-0.2, 0.2)) #' #' # Using "muted" colours makes for pleasant graphics #' # (and they have better perceptual properties too) #' library(scales) # for muted #' d + scale_colour_gradient2(low="red", high="blue") #' d + scale_colour_gradient2(low=muted("red"), high=muted("blue")) #' #' # Using the Lab colour space also improves perceptual properties #' # at the price of slightly slower operation #' d + scale_colour_gradient2(space="Lab") #' #' # About 5% of males are red-green colour blind, so it's a good #' # idea to avoid that combination #' d + scale_colour_gradient2(high=muted("green")) #' #' # We can also make the middle stand out #' d + scale_colour_gradient2(mid=muted("green"), high="white", low="white") #' #' # or use a non zero mid point #' (d <- qplot(carat, price, data=diamonds, colour=price/carat)) #' d + scale_colour_gradient2(midpoint=mean(diamonds$price / diamonds$carat)) #' #' # Fill gradients work much the same way #' p <- qplot(letters[1:5], 1:5, fill= c(-3, 3, 5, 2, -2), geom="bar") #' p + scale_fill_gradient2("fill") #' # Note how positive and negative values of the same magnitude #' # have similar intensity #' } scale_colour_gradient2 <- function(..., low = muted("red"), mid = "white", high = muted("blue"), midpoint = 0, space = "rgb", na.value = "grey50", guide = "colourbar") { continuous_scale("colour", "gradient2", div_gradient_pal(low, mid, high, space), na.value = na.value, guide = guide, ..., rescaler = mid_rescaler(mid = midpoint)) } #' @rdname scale_gradient2 #' @export scale_fill_gradient2 <- function(..., low = muted("red"), mid = "white", high = muted("blue"), midpoint = 0, space = "rgb", na.value = "grey50", guide = "colourbar") { continuous_scale("fill", "gradient2", div_gradient_pal(low, mid, high, space), na.value = na.value, guide = guide, ..., rescaler = mid_rescaler(mid = midpoint)) } mid_rescaler <- function(mid) { function(x, to = c(0, 1), from = range(x, na.rm = TRUE)) { rescale_mid(x, to, from, mid) } } ggplot2/R/geom-bar-histogram.r0000644000175100001440000001165012114160774015724 0ustar hornikusers#' Histogram #' #' \code{geom_histogram} is an alias for \code{\link{geom_bar}} plus #' \code{\link{stat_bin}} so you will need to look at the documentation for #' those objects to get more information about the parameters. #' #' By default, \code{stat_bin} uses 30 bins - this is not a good default, #' but the idea is to get you experimenting with different binwidths. You #' may need to look at a few to uncover the full story behind your data. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "histogram")} #' #' @export #' @inheritParams geom_point #' @examples #' \donttest{ #' set.seed(5689) #' movies <- movies[sample(nrow(movies), 1000), ] #' # Simple examples #' qplot(rating, data=movies, geom="histogram") #' qplot(rating, data=movies, weight=votes, geom="histogram") #' qplot(rating, data=movies, weight=votes, geom="histogram", binwidth=1) #' qplot(rating, data=movies, weight=votes, geom="histogram", binwidth=0.1) #' #' # More complex #' m <- ggplot(movies, aes(x=rating)) #' m + geom_histogram() #' m + geom_histogram(aes(y = ..density..)) + geom_density() #' #' m + geom_histogram(binwidth = 1) #' m + geom_histogram(binwidth = 0.5) #' m + geom_histogram(binwidth = 0.1) #' #' # Add aesthetic mappings #' m + geom_histogram(aes(weight = votes)) #' m + geom_histogram(aes(y = ..count..)) #' m + geom_histogram(aes(fill = ..count..)) #' #' # Change scales #' m + geom_histogram(aes(fill = ..count..)) + #' scale_fill_gradient("Count", low = "green", high = "red") #' #' # Often we don't want the height of the bar to represent the #' # count of observations, but the sum of some other variable. #' # For example, the following plot shows the number of movies #' # in each rating. #' qplot(rating, data=movies, geom="bar", binwidth = 0.1) #' # If, however, we want to see the number of votes cast in each #' # category, we need to weight by the votes variable #' qplot(rating, data=movies, geom="bar", binwidth = 0.1, #' weight=votes, ylab = "votes") #' #' m <- ggplot(movies, aes(x = votes)) #' # For transformed scales, binwidth applies to the transformed data. #' # The bins have constant width on the transformed scale. #' m + geom_histogram() + scale_x_log10() #' m + geom_histogram(binwidth = 1) + scale_x_log10() #' m + geom_histogram() + scale_x_sqrt() #' m + geom_histogram(binwidth = 10) + scale_x_sqrt() #' #' # For transformed coordinate systems, the binwidth applies to the #' # raw data. The bins have constant width on the original scale. #' #' # Using log scales does not work here, because the first #' # bar is anchored at zero, and so when transformed becomes negative #' # infinity. This is not a problem when transforming the scales, because #' # no observations have 0 ratings. #' m + geom_histogram(origin = 0) + coord_trans(x = "log10") #' # Use origin = 0, to make sure we don't take sqrt of negative values #' m + geom_histogram(origin = 0) + coord_trans(x = "sqrt") #' m + geom_histogram(origin = 0, binwidth = 1000) + coord_trans(x = "sqrt") #' #' # You can also transform the y axis. Remember that the base of the bars #' # has value 0, so log transformations are not appropriate #' m <- ggplot(movies, aes(x = rating)) #' m + geom_histogram(binwidth = 0.5) + scale_y_sqrt() #' m + geom_histogram(binwidth = 0.5) + scale_y_reverse() #' #' # Set aesthetics to fixed value #' m + geom_histogram(colour = "darkgreen", fill = "white", binwidth = 0.5) #' #' # Use facets #' m <- m + geom_histogram(binwidth = 0.5) #' m + facet_grid(Action ~ Comedy) #' #' # Often more useful to use density on the y axis when facetting #' m <- m + aes(y = ..density..) #' m + facet_grid(Action ~ Comedy) #' m + facet_wrap(~ mpaa) #' #' # Multiple histograms on the same graph #' # see ?position, ?position_fill, etc for more details. #' set.seed(6298) #' diamonds_small <- diamonds[sample(nrow(diamonds), 1000), ] #' ggplot(diamonds_small, aes(x=price)) + geom_bar() #' hist_cut <- ggplot(diamonds_small, aes(x=price, fill=cut)) #' hist_cut + geom_bar() # defaults to stacking #' hist_cut + geom_bar(position="fill") #' hist_cut + geom_bar(position="dodge") #' #' # This is easy in ggplot2, but not visually effective. It's better #' # to use a frequency polygon or density plot. Like this: #' ggplot(diamonds_small, aes(price, ..density.., colour = cut)) + #' geom_freqpoly(binwidth = 1000) #' # Or this: #' ggplot(diamonds_small, aes(price, colour = cut)) + #' geom_density() #' # Or if you want to be fancy, maybe even this: #' ggplot(diamonds_small, aes(price, fill = cut)) + #' geom_density(alpha = 0.2) #' # Which looks better when the distributions are more distinct #' ggplot(diamonds_small, aes(depth, fill = cut)) + #' geom_density(alpha = 0.2) + xlim(55, 70) #' } geom_histogram <- function (mapping = NULL, data = NULL, stat = "bin", position = "stack", ...) { GeomHistogram$new(mapping = mapping, data = data, stat = stat, position = position, ...) } GeomHistogram <- proto(GeomBar, { objname <- "histogram" }) ggplot2/R/facet-null.r0000644000175100001440000000420512114160774014270 0ustar hornikusers#' Facet specification: a single panel. #' #' @inheritParams facet_grid #' @export #' @examples #' # facet_null is the default facetting specification if you #' # don't override it with facet_grid or facet_wrap #' ggplot(mtcars, aes(mpg, wt)) + geom_point() #' qplot(mpg, wt, data = mtcars) facet_null <- function(shrink = TRUE) { facet(shrink = shrink, subclass = "null") } #' @S3method facet_train_layout null facet_train_layout.null <- function(facet, data) { data.frame( PANEL = 1L, ROW = 1L, COL = 1L, SCALE_X = 1L, SCALE_Y = 1L) } #' @S3method facet_map_layout null facet_map_layout.null <- function(facet, data, layout) { # Need the is.waive check for special case where no data, but aesthetics # are mapped to vectors, like qplot(1:5, 1:5) if (is.waive(data) || empty(data)) return(cbind(data, PANEL = integer(0))) data$PANEL <- 1L data } #' @S3method facet_render null facet_render.null <- function(facet, panel, coord, theme, geom_grobs) { range <- panel$ranges[[1]] # Figure out aspect ratio aspect_ratio <- theme$aspect.ratio %||% coord_aspect(coord, range) if (is.null(aspect_ratio)) { aspect_ratio <- 1 respect <- FALSE } else { respect <- TRUE } fg <- coord_render_fg(coord, range, theme) bg <- coord_render_bg(coord, range, theme) # Flatten layers - we know there's only one panel geom_grobs <- lapply(geom_grobs, "[[", 1) panel_grobs <- c(list(bg), geom_grobs, list(fg)) panel_grob <- gTree(children = do.call("gList", panel_grobs)) axis_h <- coord_render_axis_h(coord, range, theme) axis_v <- coord_render_axis_v(coord, range, theme) all <- matrix(list( axis_v, panel_grob, zeroGrob(), axis_h ), ncol = 2, byrow = TRUE) layout <- gtable_matrix("layout", all, widths = unit.c(grobWidth(axis_v), unit(1, "null")), heights = unit.c(unit(aspect_ratio, "null"), grobHeight(axis_h)), respect = respect, clip = c("off", "off", "on", "off"), z = matrix(c(3, 2, 1, 4), ncol = 2, byrow = TRUE) ) layout$layout$name <- c("axis-l", "spacer", "panel", "axis-b") layout } #' @S3method facet_vars null facet_vars.null <- function(facet) "" ggplot2/R/theme-elements.r0000644000175100001440000002555612114161113015152 0ustar hornikusers#' Theme element: blank. #' This theme element draws nothing, and assigns no space #' #' @export element_blank <- function() { structure( list(), class = c("element_blank", "element") ) } #' Theme element: rectangle. #' #' Most often used for backgrounds and borders. #' #' @param fill fill colour #' @param colour border colour #' @param size border size #' @param linetype border linetype #' @param color an alias for \code{colour} #' @export element_rect <- function(fill = NULL, colour = NULL, size = NULL, linetype = NULL, color = NULL) { if (!is.null(color)) colour <- color structure( list(fill = fill, colour = colour, size = size, linetype = linetype), class = c("element_rect", "element") ) } #' Theme element: line. #' #' @param colour line colour #' @param size line size #' @param linetype line type #' @param lineend line end #' @param color an alias for \code{colour} #' @export element_line <- function(colour = NULL, size = NULL, linetype = NULL, lineend = NULL, color = NULL) { if (!is.null(color)) colour <- color structure( list(colour = colour, size = size, linetype = linetype, lineend = lineend), class = c("element_line", "element") ) } #' Theme element: text. #' #' @param family font family #' @param face font face ("plain", "italic", "bold", "bold.italic") #' @param colour text colour #' @param size text size (in pts) #' @param hjust horizontal justification (in [0, 1]) #' @param vjust vertical justification (in [0, 1]) #' @param angle angle (in [0, 360]) #' @param lineheight line height #' @param color an alias for \code{colour} #' @export element_text <- function(family = NULL, face = NULL, colour = NULL, size = NULL, hjust = NULL, vjust = NULL, angle = NULL, lineheight = NULL, color = NULL) { if (!is.null(color)) colour <- color structure( list(family = family, face = face, colour = colour, size = size, hjust = hjust, vjust = vjust, angle = angle, lineheight = lineheight), class = c("element_text", "element") ) } #' @S3method print element print.element <- function(x, ...) str(x) #' Relative sizing for theme elements #' #' @param x A number representing the relative size #' @examples #' qplot(1:3, 1:3) + theme(axis.title.x = element_text(size = rel(2.5))) #' @export rel <- function(x) { structure(x, class = "rel") } #' @S3method print rel print.rel <- function(x, ...) print(noquote(paste(x, " *", sep = ""))) #' Reports whether x is a rel object #' @param x An object to test is.rel <- function(x) inherits(x, "rel") #' Deprecated theme_xx functions #' #' The \code{theme_xx} functions have been deprecated. They are replaced #' with the \code{element_xx} functions. #' @param ... Arguments to be passed to the appropriate \code{element_xx} #' function. #' #' @export theme_blank <- function(...) { gg_dep("0.9.1", "'theme_blank' is deprecated. Use 'element_blank' instead.") element_blank(...) } #' @rdname theme_blank #' @export theme_rect <- function(...) { gg_dep("0.9.1", "theme_rect is deprecated. Use 'element_rect' instead.") element_rect(...) } #' @rdname theme_blank #' @export theme_line <- function(...) { gg_dep("0.9.1", "theme_line is deprecated. Use 'element_line' instead.") element_line(...) } #' @rdname theme_blank #' @export theme_segment <- function(...) { gg_dep("0.9.1", "theme_segment is deprecated. Use 'element_line' instead.") element_line(...) } #' @rdname theme_blank #' @export theme_text <- function(...) { gg_dep("0.9.1", "theme_text is deprecated. Use 'element_text' instead.") element_text(...) } # Given a theme object and element name, return a grob for the element element_render <- function(theme, element, ..., name = NULL) { # Get the element from the theme, calculating inheritance el <- calc_element(element, theme) if (is.null(el)) { message("Theme element ", element, " missing") return(zeroGrob()) } ggname(ps(element, name, sep = "."), element_grob(el, ...)) } # Returns NULL if x is length 0 len0_null <- function(x) { if (length(x) == 0) NULL else x } # Returns a grob for an element object element_grob <- function(element, ...) UseMethod("element_grob") #' @S3method element_grob element_blank element_grob.element_blank <- function(element, ...) zeroGrob() #' @S3method element_grob element_rect element_grob.element_rect <- function(element, x = 0.5, y = 0.5, width = 1, height = 1, fill = NULL, colour = NULL, size = NULL, linetype = NULL, ...) { # The gp settings can override element_gp gp <- gpar(lwd = len0_null(size * .pt), col = colour, fill = fill, lty = linetype) element_gp <- gpar(lwd = len0_null(element$size * .pt), col = element$colour, fill = element$fill, lty = element$linetype) rectGrob(x, y, width, height, gp = modifyList(element_gp, gp), ...) } #' @S3method element_grob element_text element_grob.element_text <- function(element, label = "", x = NULL, y = NULL, family = NULL, face = NULL, colour = NULL, size = NULL, hjust = NULL, vjust = NULL, angle = NULL, lineheight = NULL, default.units = "npc", ...) { vj <- vjust %||% element$vjust hj <- hjust %||% element$hjust angle <- angle %||% element$angle if (is.null(angle)) { stop("Text element requires non-NULL value for 'angle'.") } angle <- angle %% 360 if (angle == 90) { xp <- vj yp <- hj } else if (angle == 180) { xp <- 1 - hj yp <- vj } else if (angle == 270) { xp <- vj yp <- 1 - hj }else { xp <- hj yp <- vj } x <- x %||% xp y <- y %||% yp # The gp settings can override element_gp gp <- gpar(fontsize = size, col = colour, fontfamily = family, fontface = face, lineheight = lineheight) element_gp <- gpar(fontsize = element$size, col = element$colour, fontfamily = element$family, fontface = element$face, lineheight = element$lineheight) textGrob( label, x, y, hjust = hj, vjust = vj, default.units = default.units, gp = modifyList(element_gp, gp), rot = angle, ... ) } #' @S3method element_grob element_line element_grob.element_line <- function(element, x = 0:1, y = 0:1, colour = NULL, size = NULL, linetype = NULL, lineend = NULL, default.units = "npc", id.lengths = NULL, ...) { # The gp settings can override element_gp gp <- gpar(lwd=len0_null(size * .pt), col=colour, lty=linetype, lineend = lineend) element_gp <- gpar(lwd = len0_null(element$size * .pt), col = element$colour, lty = element$linetype, lineend = element$lineend) polylineGrob( x, y, default.units = default.units, gp = modifyList(element_gp, gp), id.lengths = id.lengths, ... ) } # Define an element's class and what other elements it inherits from # # @param class The name of class (like "element_line", "element_text", # or the reserved "character", which means a character vector (not # "character" class) # @param inherit A vector of strings, naming the elements that this # element inherits from. el_def <- function(class = NULL, inherit = NULL, description = NULL) { list(class = class, inherit = inherit, description = description) } # This data structure represents the theme elements and the inheritance # among them. .element_tree <- list( line = el_def("element_line"), rect = el_def("element_rect"), text = el_def("element_text"), title = el_def("element_text", "text"), axis.line = el_def("element_line", "line"), axis.text = el_def("element_text", "text"), axis.title = el_def("element_text", "title"), axis.ticks = el_def("element_line", "line"), legend.key.size = el_def("unit"), panel.grid = el_def("element_line", "line"), panel.grid.major = el_def("element_line", "panel.grid"), panel.grid.minor = el_def("element_line", "panel.grid"), strip.text = el_def("element_text", "text"), axis.line.x = el_def("element_line", "axis.line"), axis.line.y = el_def("element_line", "axis.line"), axis.text.x = el_def("element_text", "axis.text"), axis.text.y = el_def("element_text", "axis.text"), axis.ticks.length = el_def("unit"), axis.ticks.x = el_def("element_line", "axis.ticks"), axis.ticks.y = el_def("element_line", "axis.ticks"), axis.title.x = el_def("element_text", "axis.title"), axis.title.y = el_def("element_text", "axis.title"), axis.ticks.margin = el_def("unit"), legend.background = el_def("element_rect", "rect"), legend.margin = el_def("unit"), legend.key = el_def("element_rect", "rect"), legend.key.height = el_def("unit", "legend.key.size"), legend.key.width = el_def("unit", "legend.key.size"), legend.text = el_def("element_text", "text"), legend.text.align = el_def("character"), legend.title = el_def("element_text", "title"), legend.title.align = el_def("character"), legend.position = el_def("character"), # Need to also accept numbers legend.direction = el_def("character"), legend.justification = el_def("character"), legend.box = el_def("character"), legend.box.just = el_def("character"), panel.background = el_def("element_rect", "rect"), panel.border = el_def("element_rect", "rect"), panel.margin = el_def("unit"), panel.grid.major.x = el_def("element_line", "panel.grid.major"), panel.grid.major.y = el_def("element_line", "panel.grid.major"), panel.grid.minor.x = el_def("element_line", "panel.grid.minor"), panel.grid.minor.y = el_def("element_line", "panel.grid.minor"), strip.background = el_def("element_rect", "rect"), strip.text.x = el_def("element_text", "strip.text"), strip.text.y = el_def("element_text", "strip.text"), plot.background = el_def("element_rect", "rect"), plot.title = el_def("element_text", "title"), plot.margin = el_def("unit"), aspect.ratio = el_def("character") ) # Check that an element object has the proper class # # Given an element object and the name of the element, this function # checks it against the element inheritance tree to make sure the # element is of the correct class # # It throws error if invalid, and returns invisible() if valid. # # @param el an element # @param elname the name of the element validate_element <- function(el, elname) { eldef <- .element_tree[[elname]] if (is.null(eldef)) { stop('"', elname, '" is not a valid theme element name.') } # NULL values for elements are OK if (is.null(el)) return() if (eldef$class == "character") { # Need to be a bit looser here since sometimes it's a string like "top" # but sometimes its a vector like c(0,0) if (!is.character(el) && !is.numeric(el)) stop("Element ", elname, " must be a string or numeric vector.") } else if (!inherits(el, eldef$class) && !inherits(el, "element_blank")) { stop("Element ", elname, " must be a ", eldef$class, " object.") } invisible() } ggplot2/R/geom-rug.r0000644000175100001440000000500612114160774013760 0ustar hornikusers#' Marginal rug plots. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "rug")} #' #' @inheritParams geom_point #' @param sides A string that controls which sides of the plot the rugs appear on. #' It can be set to a string containing any of \code{"trbl"}, for top, right, #' bottom, and left. #' @export #' @examples #' p <- ggplot(mtcars, aes(x=wt, y=mpg)) #' p + geom_point() #' p + geom_point() + geom_rug() #' p + geom_point() + geom_rug(sides="b") # Rug on bottom only #' p + geom_point() + geom_rug(sides="trbl") # All four sides #' p + geom_point() + geom_rug(position='jitter') geom_rug <- function (mapping = NULL, data = NULL, stat = "identity", position = "identity", sides = "bl", ...) { GeomRug$new(mapping = mapping, data = data, stat = stat, position = position, sides = sides, ...) } GeomRug <- proto(Geom, { objname <- "rug" draw <- function(., data, scales, coordinates, sides, ...) { rugs <- list() data <- coord_transform(coordinates, data, scales) if (!is.null(data$x)) { if(grepl("b", sides)) { rugs$x_b <- segmentsGrob( x0 = unit(data$x, "native"), x1 = unit(data$x, "native"), y0 = unit(0, "npc"), y1 = unit(0.03, "npc"), gp = gpar(col = alpha(data$colour, data$alpha), lty = data$linetype, lwd = data$size * .pt) ) } if(grepl("t", sides)) { rugs$x_t <- segmentsGrob( x0 = unit(data$x, "native"), x1 = unit(data$x, "native"), y0 = unit(1, "npc"), y1 = unit(0.97, "npc"), gp = gpar(col = alpha(data$colour, data$alpha), lty = data$linetype, lwd = data$size * .pt) ) } } if (!is.null(data$y)) { if(grepl("l", sides)) { rugs$y_l <- segmentsGrob( y0 = unit(data$y, "native"), y1 = unit(data$y, "native"), x0 = unit(0, "npc"), x1 = unit(0.03, "npc"), gp = gpar(col = alpha(data$colour, data$alpha), lty = data$linetype, lwd = data$size * .pt) ) } if(grepl("r", sides)) { rugs$y_r <- segmentsGrob( y0 = unit(data$y, "native"), y1 = unit(data$y, "native"), x0 = unit(1, "npc"), x1 = unit(0.97, "npc"), gp = gpar(col = alpha(data$colour, data$alpha), lty = data$linetype, lwd = data$size * .pt) ) } } gTree(children = do.call("gList", rugs)) } default_stat <- function(.) StatIdentity default_aes <- function(.) aes(colour="black", size=0.5, linetype=1, alpha = NA) guide_geom <- function(.) "path" }) ggplot2/R/translate-qplot-lattice.r0000644000175100001440000000571212114160774017017 0ustar hornikusers#' Translating between qplot and lattice #' #' The major difference between lattice and ggplot2 is that lattice uses a formula based #' interface. ggplot2 does not because the formula does not generalise well #' to more complicated situations. #' #' @name translate_qplot_lattice #' @examples #' \donttest{ #' library(lattice) #' #' xyplot(rating ~ year, data=movies) #' qplot(year, rating, data=movies) #' #' xyplot(rating ~ year | Comedy + Action, data = movies) #' qplot(year, rating, data = movies, facets = ~ Comedy + Action) #' # Or maybe #' qplot(year, rating, data = movies, facets = Comedy ~ Action) #' #' # While lattice has many different functions to produce different types of #' # graphics (which are all basically equivalent to setting the panel argument), #' # ggplot2 has qplot(). #' #' stripplot(~ rating, data = movies, jitter.data = TRUE) #' qplot(rating, 1, data = movies, geom = "jitter") #' #' histogram(~ rating, data = movies) #' qplot(rating, data = movies, geom = "histogram") #' #' bwplot(Comedy ~ rating ,data = movies) #' qplot(factor(Comedy), rating, data = movies, type = "boxplot") #' #' xyplot(wt ~ mpg, mtcars, type = c("p","smooth")) #' qplot(mpg, wt, data = mtcars, geom = c("point","smooth")) #' #' xyplot(wt ~ mpg, mtcars, type = c("p","r")) #' qplot(mpg, wt, data = mtcars, geom = c("point","smooth"), method = "lm") #' #' # The capabilities for scale manipulations are similar in both ggplot2 and #' # lattice, although the syntax is a little different. #' #' xyplot(wt ~ mpg | cyl, mtcars, scales = list(y = list(relation = "free"))) #' qplot(mpg, wt, data = mtcars) + facet_wrap(~ cyl, scales = "free") #' #' xyplot(wt ~ mpg | cyl, mtcars, scales = list(log = 10)) #' qplot(mpg, wt, data = mtcars, log = "xy") #' #' xyplot(wt ~ mpg | cyl, mtcars, scales = list(log = 2)) #' library(scales) # Load scales for log2_trans #' qplot(mpg, wt, data = mtcars) + scale_x_continuous(trans = log2_trans()) + #' scale_y_continuous(trans = log2_trans()) #' #' xyplot(wt ~ mpg, mtcars, group = cyl, auto.key = TRUE) #' # Map directly to an aesthetic like colour, size, or shape. #' qplot(mpg, wt, data = mtcars, colour = cyl) #' #' xyplot(wt ~ mpg, mtcars, xlim = c(20,30)) #' # Works like lattice, except you can't specify a different limit #' # for each panel/facet #' qplot(mpg, wt, data = mtcars, xlim = c(20,30)) #' #' # Both lattice and ggplot2 have similar options for controlling labels on the plot. #' #' xyplot(wt ~ mpg, mtcars, xlab = "Miles per gallon", ylab = "Weight", #' main = "Weight-efficiency tradeoff") #' qplot(mpg, wt, data = mtcars, xlab = "Miles per gallon", ylab = "Weight", #' main = "Weight-efficiency tradeoff") #' #' xyplot(wt ~ mpg, mtcars, aspect = 1) #' qplot(mpg, wt, data = mtcars, asp = 1) #' #' # par.settings() is equivalent to + theme() and trellis.options.set() #' # and trellis.par.get() to theme_set() and theme_get(). #' # More complicated lattice formulas are equivalent to rearranging the data #' # before using ggplot2. #' } NULL ggplot2/R/geom-raster.r0000644000175100001440000001024312114160774014462 0ustar hornikusers#' @include geom-.r NULL #' High-performance rectangular tiling. #' #' This is a special case of \code{\link{geom_tile}} where all tiles are #' the same size. It is implemented highly efficiently using the internal #' \code{rasterGrob} function. #' #' By default, \code{geom_raster} add a vertical and horizontal padding. #' The size of padding depends on the resolution of data. #' If you want to manually set the padding (e.g. want zero-padding), #' you can change the behavior by setting \code{hpad} and \code{vpad}. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "raster")} #' #' @inheritParams geom_point #' @param hjust,vjust horizontal and vertical justification of the grob. Each #' justification value should be a number between 0 and 1. Defaults to 0.5 #' for both, centering each pixel over its data location. #' @param interpolate If \code{TRUE} interpolate linearly, if \code{FALSE} #' (the default) don't interpolate. #' @export #' @examples #' \donttest{ #' # Generate data #' pp <- function (n,r=4) { #' x <- seq(-r*pi, r*pi, len=n) #' df <- expand.grid(x=x, y=x) #' df$r <- sqrt(df$x^2 + df$y^2) #' df$z <- cos(df$r^2)*exp(-df$r/6) #' df #' } #' qplot(x, y, data = pp(20), fill = z, geom = "raster") #' # Interpolation worsens the apperance of this plot, but can help when #' # rendering images. #' qplot(x, y, data = pp(20), fill = z, geom = "raster", interpolate = TRUE) #' #' # For the special cases where it is applicable, geom_raster is much #' # faster than geom_tile: #' pp200 <- pp(200) #' base <- ggplot(pp200, aes(x, y, fill = z)) #' benchplot(base + geom_raster()) #' benchplot(base + geom_tile()) #' #' # justification #' df <- expand.grid(x = 0:5, y = 0:5) #' df$z <- runif(nrow(df)) #' # default is compatible with geom_tile() #' ggplot(df, aes(x, y, fill = z)) + geom_raster() #' # zero padding #' ggplot(df, aes(x, y, fill = z)) + geom_raster(hjust = 0, vjust = 0) #' } geom_raster <- function (mapping = NULL, data = NULL, stat = "identity", position = "identity", hjust = 0.5, vjust = 0.5, interpolate = FALSE, ...) { stopifnot(is.numeric(hjust), length(hjust) == 1) stopifnot(is.numeric(vjust), length(vjust) == 1) GeomRaster$new(mapping = mapping, data = data, stat = stat, position = position, hjust = hjust, vjust = vjust, interpolate = interpolate, ...) } GeomRaster <- proto(Geom, { objname <- "raster" reparameterise <- function(., df, params) { hjust <- params$hjust %||% 0.5 vjust <- params$vjust %||% 0.5 w <- resolution(df$x, FALSE) h <- resolution(df$y, FALSE) df$xmin <- df$x - w * (1 - hjust) df$xmax <- df$x + w * hjust df$ymin <- df$y - h * (1 - vjust) df$ymax <- df$y + h * vjust df } # This is a dummy function to make sure that vjust and hjust are recongised # as parameters and are accessible to reparameterise. draw <- function(vjust = 0.5, hjust = 0.5) {} draw_groups <- function(., data, scales, coordinates, interpolate = FALSE, ...) { if (!inherits(coordinates, "cartesian")) { stop("geom_raster only works with Cartesian coordinates", call. = FALSE) } data <- remove_missing(data, TRUE, c("x", "y", "fill"), name = "geom_raster") data <- coord_transform(coordinates, data, scales) # Convert vector of data to raster x_pos <- as.integer((data$x - min(data$x)) / resolution(data$x, FALSE)) y_pos <- as.integer((data$y - min(data$y)) / resolution(data$y, FALSE)) nrow <- max(y_pos) + 1 ncol <- max(x_pos) + 1 raster <- matrix(NA_character_, nrow = nrow, ncol = ncol) raster[cbind(nrow - y_pos, x_pos + 1)] <- alpha(data$fill, data$alpha) # Figure out dimensions of raster on plot x_rng <- c(min(data$xmin, na.rm = TRUE), max(data$xmax, na.rm = TRUE)) y_rng <- c(min(data$ymin, na.rm = TRUE), max(data$ymax, na.rm = TRUE)) rasterGrob(raster, x = mean(x_rng), y = mean(y_rng), width = diff(x_rng), height = diff(y_rng), default.units = "native", interpolate = interpolate) } default_stat <- function(.) StatIdentity default_aes <- function(.) aes(fill = "grey20", alpha = NA) required_aes <- c("x", "y") guide_geom <- function(.) "polygon" }) ggplot2/R/geom-ribbon-.r0000644000175100001440000001076212114160774014520 0ustar hornikusers#' Ribbons, y range with continuous x values. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "ribbon")} #' #' @seealso #' \code{\link{geom_bar}} for discrete intervals (bars), #' \code{\link{geom_linerange}} for discrete intervals (lines), #' \code{\link{geom_polygon}} for general polygons" #' @inheritParams geom_point #' @export #' @examples #' \donttest{ #' # Generate data #' huron <- data.frame(year = 1875:1972, level = as.vector(LakeHuron)) #' library(plyr) # to access round_any #' huron$decade <- round_any(huron$year, 10, floor) #' #' h <- ggplot(huron, aes(x=year)) #' #' h + geom_ribbon(aes(ymin=0, ymax=level)) #' h + geom_area(aes(y = level)) #' #' # Add aesthetic mappings #' h + geom_ribbon(aes(ymin=level-1, ymax=level+1)) #' h + geom_ribbon(aes(ymin=level-1, ymax=level+1)) + geom_line(aes(y=level)) #' #' # Take out some values in the middle for an example of NA handling #' huron[huron$year > 1900 & huron$year < 1910, "level"] <- NA #' h <- ggplot(huron, aes(x=year)) #' h + geom_ribbon(aes(ymin=level-1, ymax=level+1)) + geom_line(aes(y=level)) #' #' # Another data set, with multiple y's for each x #' m <- ggplot(movies, aes(y=votes, x=year)) #' (m <- m + geom_point()) #' #' # The default summary isn't that useful #' m + stat_summary(geom="ribbon", fun.ymin="min", fun.ymax="max") #' m + stat_summary(geom="ribbon", fun.data="median_hilow") #' #' # Use qplot instead #' qplot(year, level, data=huron, geom=c("area", "line")) #' } geom_ribbon <- function (mapping = NULL, data = NULL, stat = "identity", position = "identity", na.rm = FALSE, ...) { GeomRibbon$new(mapping = mapping, data = data, stat = stat, position = position, na.rm = na.rm, ...) } GeomRibbon <- proto(Geom, { objname <- "ribbon" default_stat <- function(.) StatIdentity default_aes <- function(.) aes(colour=NA, fill="grey20", size=0.5, linetype=1, alpha = NA) required_aes <- c("x", "ymin", "ymax") guide_geom <- function(.) "polygon" draw <- function(., data, scales, coordinates, na.rm = FALSE, ...) { if (na.rm) data <- data[complete.cases(data[required_aes]), ] data <- data[order(data$group, data$x), ] # Check that aesthetics are constant aes <- unique(data[c("colour", "fill", "size", "linetype", "alpha")]) if (nrow(aes) > 1) { stop("Aesthetics can not vary with a ribbon") } aes <- as.list(aes) # Instead of removing NA values from the data and plotting a single # polygon, we want to "stop" plotting the polygon whenever we're # missing values and "start" a new polygon as soon as we have new # values. We do this by creating an id vector for polygonGrob that # has distinct polygon numbers for sequences of non-NA values and NA # for NA values in the original data. Example: c(NA, 2, 2, 2, NA, NA, # 4, 4, 4, NA) missing_pos <- !complete.cases(data[required_aes]) ids <- cumsum(missing_pos) + 1 ids[missing_pos] <- NA positions <- summarise(data, x = c(x, rev(x)), y = c(ymax, rev(ymin)), id = c(ids, rev(ids))) munched <- coord_munch(coordinates,positions, scales) ggname(.$my_name(), polygonGrob( munched$x, munched$y, id = munched$id, default.units = "native", gp = gpar( fill = alpha(aes$fill, aes$alpha), col = aes$colour, lwd = aes$size * .pt, lty = aes$linetype) )) } }) #' Area plot. #' #' An area plot is the continuous analog of a stacked bar chart (see #' \code{\link{geom_bar}}), and can be used to show how composition of the #' whole varies over the range of x. Choosing the order in which different #' components is stacked is very important, as it becomes increasing hard to #' see the individual pattern as you move up the stack. #' #' An area plot is a special case of \code{\link{geom_ribbon}}, where the #' minimum of the range is fixed to 0, and the position adjustment defaults #' to position_stacked. #' #' @inheritParams geom_point #' @export #' @examples #' # see geom_ribbon geom_area <- function (mapping = NULL, data = NULL, stat = "identity", position = "stack", na.rm = FALSE, ...) { GeomArea$new(mapping = mapping, data = data, stat = stat, position = position, na.rm = na.rm, ...) } GeomArea <- proto(GeomRibbon,{ objname <- "area" default_aes <- function(.) aes(colour=NA, fill="grey20", size=0.5, linetype=1, alpha = NA) default_pos <- function(.) PositionStack required_aes <- c("x", "y") reparameterise <- function(., df, params) { transform(df, ymin = 0, ymax = y) } }) ggplot2/R/coord-map.r0000644000175100001440000001572112114161113014110 0ustar hornikusers#' Map projections. #' #' This coordinate system provides the full range of map projections available #' in the mapproj package. #' #' This is still experimental, and if you have any advice to offer regarding #' a better (or more correct) way to do this, please let me know #' #' @export #' @param projection projection to use, see #' \code{\link[mapproj]{mapproject}} for list #' @param ... other arguments passed on to #' \code{\link[mapproj]{mapproject}} #' @param orientation projection orientation, which defaults to #' \code{c(90, 0, mean(range(x)))}. This is not optimal for many #' projections, so you will have to supply your own. See #' \code{\link[mapproj]{mapproject}} for more information. #' @param xlim manually specific x limits (in degrees of lontitude) #' @param ylim manually specific y limits (in degrees of latitude) #' @export #' @examples #' if (require("maps")) { #' # Create a lat-long dataframe from the maps package #' nz <- map_data("nz") #' nzmap <- ggplot(nz, aes(x=long, y=lat, group=group)) + #' geom_polygon(fill="white", colour="black") #' #' # Use cartesian coordinates #' nzmap #' # With default mercator projection #' nzmap + coord_map() #' # Other projections #' nzmap + coord_map("cylindrical") #' nzmap + coord_map("azequalarea",orientation=c(-36.92,174.6,0)) #' #' states <- map_data("state") #' usamap <- ggplot(states, aes(x=long, y=lat, group=group)) + #' geom_polygon(fill="white", colour="black") #' #' # Use cartesian coordinates #' usamap #' # With mercator projection #' usamap + coord_map() #' # See ?mapproject for coordinate systems and their parameters #' usamap + coord_map("gilbert") #' usamap + coord_map("lagrange") #' #' # For most projections, you'll need to set the orientation yourself #' # as the automatic selection done by mapproject is not available to #' # ggplot #' usamap + coord_map("orthographic") #' usamap + coord_map("stereographic") #' usamap + coord_map("conic", lat0 = 30) #' usamap + coord_map("bonne", lat0 = 50) #' #' # World map, using geom_path instead of geom_polygon #' world <- map_data("world") #' worldmap <- ggplot(world, aes(x=long, y=lat, group=group)) + #' geom_path() + #' scale_y_continuous(breaks=(-2:2) * 30) + #' scale_x_continuous(breaks=(-4:4) * 45) #' #' # Orthographic projection with default orientation (looking down at North pole) #' worldmap + coord_map("ortho") #' # Looking up up at South Pole #' worldmap + coord_map("ortho", orientation=c(-90, 0, 0)) #' # Centered on New York (currently has issues with closing polygons) #' worldmap + coord_map("ortho", orientation=c(41, -74, 0)) #' } coord_map <- function(projection="mercator", ..., orientation = NULL, xlim = NULL, ylim = NULL) { try_require("mapproj") coord( projection = projection, orientation = orientation, limits = list(x = xlim, y = ylim), params = list(...), subclass = "map" ) } #' @S3method coord_transform map coord_transform.map <- function(coord, data, details) { trans <- mproject(coord, data$x, data$y, details$orientation) out <- cunion(trans[c("x", "y")], data) out$x <- rescale(out$x, 0:1, details$x.proj) out$y <- rescale(out$y, 0:1, details$y.proj) out } mproject <- function(coord, x, y, orientation) { suppressWarnings(mapproject(x, y, projection = coord$projection, parameters = coord$params, orientation = orientation )) } #' @S3method coord_distance map coord_distance.map <- function(coord, x, y, details) { max_dist <- dist_central_angle(details$x.range, details$y.range) dist_central_angle(x, y) / max_dist } #' @S3method coord_aspect map coord_aspect.map <- function(coord, ranges) { diff(ranges$y.proj) / diff(ranges$x.proj) } #' @S3method coord_train map coord_train.map <- function(coord, scales) { # range in scale ranges <- list() for (n in c("x", "y")) { scale <- scales[[n]] limits <- coord$limits[[n]] if (is.null(limits)) { expand <- coord_expand_defaults(coord, scale, n) range <- scale_dimension(scale, expand) } else { range <- range(scale_transform(scale, limits)) } ranges[[n]] <- range } orientation <- coord$orientation %||% c(90, 0, mean(ranges$x)) # Increase chances of creating valid boundary region grid <- expand.grid( x = seq(ranges$x[1], ranges$x[2], length = 50), y = seq(ranges$y[1], ranges$y[2], length = 50) ) ret <- list(x = list(), y = list()) # range in map proj <- mproject(coord, grid$x, grid$y, orientation)$range ret$x$proj <- proj[1:2] ret$y$proj <- proj[3:4] for (n in c("x", "y")) { out <- scale_break_info(scales[[n]], ranges[[n]]) ret[[n]]$range <- out$range ret[[n]]$major <- out$major_source ret[[n]]$minor <- out$minor_source ret[[n]]$labels <- out$labels } details <- list( orientation = orientation, x.range = ret$x$range, y.range = ret$y$range, x.proj = ret$x$proj, y.proj = ret$y$proj, x.major = ret$x$major, x.minor = ret$x$minor, x.labels = ret$x$labels, y.major = ret$y$major, y.minor = ret$y$minor, y.labels = ret$y$labels ) details } #' @S3method coord_render_bg map coord_render_bg.map <- function(coord, details, theme) { xrange <- expand_range(details$x.range, 0.2) yrange <- expand_range(details$y.range, 0.2) # Limit ranges so that lines don't wrap around globe xmid <- mean(xrange) ymid <- mean(yrange) xrange[xrange < xmid - 180] <- xmid - 180 xrange[xrange > xmid + 180] <- xmid + 180 yrange[yrange < ymid - 90] <- ymid - 90 yrange[yrange > ymid + 90] <- ymid + 90 xgrid <- with(details, expand.grid( y = c(seq(yrange[1], yrange[2], len = 50), NA), x = x.major )) ygrid <- with(details, expand.grid( x = c(seq(xrange[1], xrange[2], len = 50), NA), y = y.major )) xlines <- coord_transform(coord, xgrid, details) ylines <- coord_transform(coord, ygrid, details) if (nrow(xlines) > 0) { grob.xlines <- element_render( theme, "panel.grid.major.x", xlines$x, xlines$y, default.units = "native" ) } else { grob.xlines <- zeroGrob() } if (nrow(ylines) > 0) { grob.ylines <- element_render( theme, "panel.grid.major.y", ylines$x, ylines$y, default.units = "native" ) } else { grob.ylines <- zeroGrob() } ggname("grill", grobTree( element_render(theme, "panel.background"), grob.xlines, grob.ylines )) } #' @S3method coord_render_axis_h map coord_render_axis_h.map <- function(coord, details, theme) { if (is.null(details$x.major)) return(zeroGrob()) x_intercept <- with(details, data.frame( x = x.major, y = y.range[1] )) pos <- coord_transform(coord, x_intercept, details) guide_axis(pos$x, details$x.labels, "bottom", theme) } #' @S3method coord_render_axis_v map coord_render_axis_v.map <- function(coord, details, theme) { if (is.null(details$y.major)) return(zeroGrob()) x_intercept <- with(details, data.frame( x = x.range[1], y = y.major )) pos <- coord_transform(coord, x_intercept, details) guide_axis(pos$y, details$y.labels, "left", theme) } ggplot2/R/stat-bindot.r0000644000175100001440000001776712114160774014507 0ustar hornikusers#' Bin data for dot plot. #' #' Missing values are currently silently dropped. #' If weights are used, they must be integer values. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "bindot")} #' #' @inheritParams stat_identity #' @param binaxis The axis to bin along, "x" (default) or "y" #' @param method "dotdensity" (default) for dot-density binning, or #' "histodot" for fixed bin widths (like stat_bin) #' @param binwidth When \code{method} is "dotdensity, this specifies maximum bin width. #' When \code{method} is "histodot", this specifies bin width. #' Defaults to 1/30 of the range of the data #' @param binpositions When \code{method} is "dotdensity", "bygroup" (default) #' determines positions of the bins for each group separately. "all" determines #' positions of the bins with all the data taken together; this is used for #' aligning dot stacks across multiple groups. #' @param origin When \code{method} is "histodot", origin of first bin #' @param right When \code{method} is "histodot", should intervals be closed #' on the right (a, b], or not [a, b) #' @param width When \code{binaxis} is "y", the spacing of the dot stacks #' for dodging. #' @param na.rm If \code{FALSE} (the default), removes missing values with #' a warning. If \code{TRUE} silently removes missing values. #' @param drop If TRUE, remove all bins with zero counts #' #' @return New data frame with additional columns: #' \item{x}{center of each bin, if binaxis is "x"} #' \item{y}{center of each bin, if binaxis is "x"} #' \item{binwidth}{max width of each bin if method is "dotdensity"; #' width of each bin if method is "histodot"} #' \item{count}{number of points in bin} #' \item{ncount}{count, scaled to maximum of 1} #' \item{density}{density of points in bin, scaled to integrate to 1, #' if method is "histodot"} #' \item{ndensity}{density, scaled to maximum of 1, if method is "histodot"} #' @seealso See \code{\link{geom_dotplot}} for examples. #' @export #' @examples #' # See geom_dotplot for examples #' stat_bindot <- function (mapping = NULL, data = NULL, geom = "dotplot", position = "identity", binwidth = NULL, origin = NULL, width = 0.9, binaxis = "x", method = "dotdensity", binpositions = "bygroup", drop = FALSE, right = TRUE, na.rm = FALSE, ...) { StatBindot$new(mapping = mapping, data = data, geom = geom, position = position, binwidth = binwidth, origin = origin, width = width, binaxis = binaxis, method = method, binpositions = binpositions, drop = drop, right = right, na.rm = na.rm, ...) } StatBindot <- proto(Stat, { objname <- "bindot" informed <- FALSE calculate_groups <- function(., data, na.rm = FALSE, binwidth = NULL, binaxis = "x", method = "dotdensity", binpositions = "bygroup", ...) { data <- remove_missing(data, na.rm, c(binaxis, "weight"), name="stat_bindot", finite = TRUE) .$informed <- FALSE # If using dotdensity and binning over all, we need to find the bin centers # for all data before it's split into groups. if (method == "dotdensity" && binpositions == "all") { if (binaxis == "x") { newdata <- densitybin(x = data$x, weight = data$weight, binwidth = binwidth, method = method) data <- arrange(data, x) newdata <- arrange(newdata, x) } else if (binaxis == "y") { newdata <- densitybin(x = data$y, weight = data$weight, binwidth = binwidth, method = method) data <- arrange(data, y) newdata <- arrange(newdata, x) } data$bin <- newdata$bin data$binwidth <- newdata$binwidth data$weight <- newdata$weight data$bincenter <- newdata$bincenter } .super$calculate_groups(., data, binwidth = binwidth, binaxis = binaxis, method = method, binpositions = binpositions, ...) } calculate <- function(., data, scales, binwidth = NULL, binaxis = "x", method = "dotdensity", binpositions = "bygroup", origin = NULL, breaks = NULL, width = 0.9, drop = FALSE, right = TRUE, ...) { # This function taken from integer help page is.wholenumber <- function(x, tol = .Machine$double.eps^0.5) { abs(x - round(x)) < tol } # Check that weights are whole numbers (for dots, weights must be whole) if (!is.null(data$weight) && any(!is.wholenumber(data$weight)) && any(data$weight < 0)) { stop("Weights for stat_bindot must be nonnegative integers.") } if (binaxis == "x") { range <- scale_dimension(scales$x, c(0, 0)) values <- data$x } else if (binaxis == "y") { range <- scale_dimension(scales$y, c(0, 0)) values <- data$y # The middle of each group, on the stack axis midline <- mean(range(data$x)) } if (is.null(breaks) && is.null(binwidth) && !is.integer(values) && !.$informed) { message("stat_bindot: binwidth defaulted to range/30. Use 'binwidth = x' to adjust this.") .$informed <- TRUE } if(method == "histodot") { # Use the function from stat_bin data <- bin(x = values, weight = data$weight, binwidth = binwidth, origin = origin, breaks=breaks, range = range, width = width, drop = drop, right = right) # Change "width" column to "binwidth" for consistency names(data)[names(data) == "width"] <- "binwidth" names(data)[names(data) == "x"] <- "bincenter" } else if (method == "dotdensity") { # If bin centers are found by group instead of by all, find the bin centers # (If binpositions=="all", then we'll already have bin centers.) if (binpositions == "bygroup") data <- densitybin(x = values, weight = data$weight, binwidth = binwidth, method = method, range = range) # Collapse each bin and get a count data <- ddply(data, .(bincenter), summarise, binwidth = binwidth[1], count = sum(weight)) if (sum(data$count, na.rm = TRUE) != 0) { data$count[is.na(data$count)] <- 0 data$ncount <- data$count / max(abs(data$count), na.rm = TRUE) if (drop) data <- subset(data, count > 0) } } if (binaxis == "x") { names(data)[names(data) == "bincenter"] <- "x" # For x binning, the width of the geoms is same as the width of the bin data$width <- data$binwidth } else if (binaxis == "y") { names(data)[names(data) == "bincenter"] <- "y" # For y binning, set the x midline. This is needed for continuous x axis data$x <- midline } return(data) } default_aes <- function(.) aes(y = ..count..) required_aes <- c("x") default_geom <- function(.) GeomDotplot }) # This does density binning, but does not collapse each bin with a count. # It returns a data frame with the original data (x), weights, bin #, and the bin centers. densitybin <- function(x, weight = NULL, binwidth = NULL, method = method, range = NULL) { if (length(na.omit(x)) == 0) return(data.frame()) if (is.null(weight)) weight <- rep(1, length(x)) weight[is.na(weight)] <- 0 if (is.null(range)) range <- range(x, na.rm = TRUE, finite = TRUE) if (is.null(binwidth)) binwidth <- diff(range) / 30 # Sort weight and x, by x weight <- weight[order(x)] x <- x[order(x)] cbin <- 0 # Current bin ID bin <- rep.int(NA, length(x)) # The bin ID for each observation binend <- -Inf # End position of current bin (scan left to right) # Scan list and put dots in bins for (i in 1:length(x)) { # If past end of bin, start a new bin at this point if (x[i] >= binend) { binend <- x[i] + binwidth cbin <- cbin + 1 } bin[i] <- cbin } results <- data.frame(x, bin, binwidth, weight) results <- ddply(results, .(bin), function(df) { df$bincenter = (min(df$x) + max(df$x)) / 2 return(df) }) return(results) } ggplot2/R/autoplot.r0000644000175100001440000000143512114160774014107 0ustar hornikusers#' Create a complete ggplot appropriate to a particular data type #' #' \code{autoplot} uses ggplot2 to draw a particular plot for an object of a #' particular class in a single command. This defines the S3 generic that #' other classes and packages can extend. #' #' @param object an object, whose class will determine the behaviour of autoplot #' @param ... other arguments passed to specific methods #' @return a ggplot object #' @export #' @seealso \code{\link{ggplot}} and \code{\link{fortify}} autoplot <- function(object, ...) { UseMethod("autoplot") } #' @S3method autoplot default autoplot.default <- function(object, ...) { error.msg <- paste("Objects of type",class(object),"not supported by autoplot. Please use qplot() or ggplot() instead.\n") stop(error.msg, call.=FALSE) } ggplot2/R/geom-hex.r0000644000175100001440000000312012114160774013742 0ustar hornikusers#' Hexagon bining. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "hex")} #' #' @export #' @inheritParams geom_point #' @examples #' # See ?stat_binhex for examples geom_hex <- function (mapping = NULL, data = NULL, stat = "binhex", position = "identity", ...) { GeomHex$new(mapping = mapping, data = data, stat = stat, position = position, ...) } GeomHex <- proto(Geom, { objname <- "hex" draw <- function(., data, scales, coordinates, ...) { with(coord_transform(coordinates, data, scales), ggname(.$my_name(), hexGrob(x, y, col=colour, fill = alpha(fill, alpha))) ) } required_aes <- c("x", "y") default_aes <- function(.) aes(colour=NA, fill = "grey50", size=0.5, alpha = NA) default_stat <- function(.) StatBinhex guide_geom <- function(.) "polygon" }) # Draw hexagon grob # Modified from code by Nicholas Lewin-Koh and Martin Maechler # # @param x positions of hex centres # @param y positions # @param vector of hex sizes # @param border colour # @param fill colour # @keyword internal hexGrob <- function(x, y, size = rep(1, length(x)), colour = "grey50", fill = "grey90") { stopifnot(length(y) == length(x)) dx <- resolution(x, FALSE) dy <- resolution(y, FALSE) / sqrt(3) / 2 * 1.15 hexC <- hexcoords(dx, dy, n = 1) n <- length(x) polygonGrob( x = rep.int(hexC$x, n) * rep(size, each = 6) + rep(x, each = 6), y = rep.int(hexC$y, n) * rep(size, each = 6) + rep(y, each = 6), default.units = "native", id.lengths = rep(6, n), gp = gpar(col = colour, fill = fill) ) } ggplot2/R/scale-alpha.r0000644000175100001440000000214112114160774014405 0ustar hornikusers#' Alpha scales. #' #' \code{scale_alpha} is an alias for \code{scale_alpha_continuous} since #' that is the most common use of alpha, and it saves a bit of typing. #' #' @param ... Other arguments passed on to \code{\link{continuous_scale}} #' or \code{\link{discrete_scale}} as appropriate, to control name, limits, #' breaks, labels and so forth. #' @param range range of output alpha values. Should lie between 0 and 1. #' @export #' @examples #' (p <- qplot(mpg, cyl, data = mtcars, alpha = cyl)) #' p + scale_alpha("cylinders") #' p + scale_alpha("number\nof\ncylinders") #' #' p + scale_alpha(range = c(0.4, 0.8)) #' #' (p <- qplot(mpg, cyl, data=mtcars, alpha = factor(cyl))) #' p + scale_alpha_discrete(range = c(0.4, 0.8)) scale_alpha <- function(..., range = c(0.1, 1)) { continuous_scale("alpha", "alpha_c", rescale_pal(range), ...) } #' @rdname scale_alpha #' @export scale_alpha_continuous <- scale_alpha #' @rdname scale_alpha #' @export scale_alpha_discrete <- function(..., range = c(0.1, 1)) { discrete_scale("alpha", "alpha_d", function(n) seq(range[1], range[2], length = n), ...) } ggplot2/R/annotation-custom.r0000644000175100001440000000511312114160774015717 0ustar hornikusers#' @include geom-.r NULL #' Annotation: Custom grob. #' #' This is a special geom intended for use as static annnotations #' that are the same in every panel. These anotations will not #' affect scales (i.e. the x and y axes will not grow to cover the range #' of the grob, and the grob will not be modified by any ggplot settings or mappings). #' #' Most useful for adding tables, inset plots, and other grid-based decorations. #' #' @param grob grob to display #' @param xmin,xmax x location (in data coordinates) giving horizontal #' location of raster #' @param ymin,ymax y location (in data coordinates) giving vertical #' location of raster #' @export #' @note \code{annotation_custom} expects the grob to fill the entire viewport #' defined by xmin, xmax, ymin, ymax. Grobs with a different (absolute) size #' will be center-justified in that region. #' Inf values can be used to fill the full plot panel (see examples). #' @examples #' # Dummy plot #' base <- qplot(1:10, 1:10, geom = "blank") + theme_bw() #' # Adding a table #' \donttest{ #' require(gridExtra) #' base + annotation_custom(grob = tableGrob(head(iris[ ,1:3])), #' xmin = 3, xmax = 6, ymin = 2, ymax = 8) #' # full panel #' base + annotation_custom(grob = roundrectGrob(), #' xmin = -Inf, xmax = Inf, ymin = -Inf, ymax = Inf) #' } #' # Inset plot #' g <- ggplotGrob(qplot(1, 1) + #' theme(plot.background = element_rect(colour = "black"))) #' base + #' annotation_custom(grob = g, xmin = 1, xmax = 10, ymin = 8, ymax = 10) annotation_custom <- function (grob, xmin = -Inf, xmax = Inf, ymin = -Inf, ymax = Inf) { GeomCustomAnn$new(geom_params = list(grob = grob, xmin = xmin, xmax = xmax, ymin = ymin, ymax = ymax), stat = "identity", position = "identity", data = NULL, inherit.aes = TRUE) } GeomCustomAnn <- proto(Geom, { objname <- "custom_ann" draw_groups <- function(., data, scales, coordinates, grob, xmin, xmax, ymin, ymax, ...) { if (!inherits(coordinates, "cartesian")) { stop("annotation_custom only works with Cartesian coordinates", call. = FALSE) } corners <- data.frame(x = c(xmin, xmax), y = c(ymin, ymax)) data <- coord_transform(coordinates, corners, scales) x_rng <- range(data$x, na.rm = TRUE) y_rng <- range(data$y, na.rm = TRUE) vp <- viewport(x = mean(x_rng), y = mean(y_rng), width = diff(x_rng), height = diff(y_rng), just = c("center","center")) editGrob(grob, vp = vp) } default_aes <- function(.) aes(xmin = -Inf, xmax = Inf, ymin = -Inf, ymax = Inf) }) ggplot2/R/guides-grid.r0000644000175100001440000000204112114160774014435 0ustar hornikusers# Produce a grob to be used as for panel backgrounds guide_grid <- function(theme, x.minor, x.major, y.minor, y.major) { x.minor <- setdiff(x.minor, x.major) y.minor <- setdiff(y.minor, y.major) ggname("grill", grobTree( element_render(theme, "panel.background"), if(length(y.minor) > 0) element_render( theme, "panel.grid.minor.y", x = rep(0:1, length(y.minor)), y = rep(y.minor, each=2), id.lengths = rep(2, length(y.minor)) ), if(length(x.minor) > 0) element_render( theme, "panel.grid.minor.x", x = rep(x.minor, each=2), y = rep(0:1, length(x.minor)), id.lengths = rep(2, length(x.minor)) ), if(length(y.major) > 0) element_render( theme, "panel.grid.major.y", x = rep(0:1, length(y.major)), y = rep(y.major, each=2), id.lengths = rep(2, length(y.major)) ), if(length(x.major) > 0) element_render( theme, "panel.grid.major.x", x = rep(x.major, each=2), y = rep(0:1, length(x.major)), id.lengths = rep(2, length(x.major)) ) )) } ggplot2/R/coord-polar.r0000644000175100001440000002015112114161113014441 0ustar hornikusers#' Polar coordinates. #' #' The polar coordinate system is most commonly used for pie charts, which #' are a stacked bar chart in polar coordinates. #' #' @param theta variable to map angle to (\code{x} or \code{y}) #' @param start offset of starting point from 12 o'clock in radians #' @param direction 1, clockwise; -1, anticlockwise #' @export #' @examples #' \donttest{ #' # NOTE: Use these plots with caution - polar coordinates has #' # major perceptual problems. The main point of these examples is #' # to demonstrate how these common plots can be described in the #' # grammar. Use with EXTREME caution. #' #' # A coxcomb plot = bar chart + polar coordinates #' cxc <- ggplot(mtcars, aes(x = factor(cyl))) + #' geom_bar(width = 1, colour = "black") #' cxc + coord_polar() #' # A new type of plot? #' cxc + coord_polar(theta = "y") #' #' # A pie chart = stacked bar chart + polar coordinates #' pie <- ggplot(mtcars, aes(x = factor(1), fill = factor(cyl))) + #' geom_bar(width = 1) #' pie + coord_polar(theta = "y") #' #' # The bullseye chart #' pie + coord_polar() #' #' # Hadley's favourite pie chart #' df <- data.frame( #' variable = c("resembles", "does not resemble"), #' value = c(80, 20) #' ) #' ggplot(df, aes(x = "", y = value, fill = variable)) + #' geom_bar(width = 1, stat = "identity") + #' scale_fill_manual(values = c("red", "yellow")) + #' coord_polar("y", start = pi / 3) + #' labs(title = "Pac man") #' #' # Windrose + doughnut plot #' movies$rrating <- cut_interval(movies$rating, length = 1) #' movies$budgetq <- cut_number(movies$budget, 4) #' #' doh <- ggplot(movies, aes(x = rrating, fill = budgetq)) #' #' # Wind rose #' doh + geom_bar(width = 1) + coord_polar() #' # Race track plot #' doh + geom_bar(width = 0.9, position = "fill") + coord_polar(theta = "y") #' } coord_polar <- function(theta = "x", start = 0, direction = 1) { theta <- match.arg(theta, c("x", "y")) r <- if (theta == "x") "y" else "x" coord( theta = theta, r = r, start = start, direction = sign(direction), subclass = "polar" ) } #' @S3method coord_aspect polar coord_aspect.polar <- function(coord, details) 1 #' @S3method coord_distance polar coord_distance.polar <- function(coord, x, y, details) { if (coord$theta == "x") { r <- rescale(y, from = details$r.range) theta <- theta_rescale_no_clip(coord, x, details) } else { r <- rescale(x, from = details$r.range) theta <- theta_rescale_no_clip(coord, y, details) } dist_polar(r, theta) } #' @S3method coord_range polar coord_range.polar <- function(coord, scales) { setNames(list(scales$theta.range, scales$r.range), c(coord$theta, coord$r)) } #' @S3method coord_train polar coord_train.polar <- function(coord, scales) { ret <- list(x = list(), y = list()) for (n in c("x", "y")) { scale <- scales[[n]] limits <- coord$limits[[n]] if (is.null(limits)) { expand <- coord_expand_defaults(coord, scale, n) range <- scale_dimension(scale, expand) } else { range <- range(scale_transform(scale, limits)) } out <- scale_break_info(scale, range) ret[[n]]$range <- out$range ret[[n]]$major <- out$major_source ret[[n]]$minor <- out$minor_source ret[[n]]$labels <- out$labels } details <- list( x.range = ret$x$range, y.range = ret$y$range, x.major = ret$x$major, x.minor = ret$x$minor, x.labels = ret$x$labels, y.major = ret$y$major, y.minor = ret$y$minor, y.labels = ret$y$labels ) if (coord$theta == "y") { names(details) <- gsub("x\\.", "r.", names(details)) names(details) <- gsub("y\\.", "theta.", names(details)) } else { names(details) <- gsub("x\\.", "theta.", names(details)) names(details) <- gsub("y\\.", "r.", names(details)) } details } rename_data <- function(coord, data) { if (coord$theta == "y") { rename(data, c("y" = "theta", "x" = "r"), warn_missing = FALSE) } else { rename(data, c("y" = "r", "x" = "theta"), warn_missing = FALSE) } } theta_rescale_no_clip <- function(coord, x, details) { rotate <- function(x) (x + coord$start) * coord$direction rotate(rescale(x, c(0, 2 * pi), details$theta.range)) } theta_rescale <- function(coord, x, details) { rotate <- function(x) (x + coord$start) %% (2 * pi) * coord$direction rotate(rescale(x, c(0, 2 * pi), details$theta.range)) } r_rescale <- function(coord, x, details) { rescale(x, c(0, 0.4), details$r.range) } #' @S3method coord_expand_defaults polar coord_expand_defaults.polar <- function(coord, scale, aesthetic) { if (coord$theta == aesthetic) { expand_default(scale, c(0, 0.5), c(0, 0)) } else { expand_default(scale, c(0, 0), c(0, 0)) } } #' @S3method coord_transform polar coord_transform.polar <- function(coord, data, details) { data <- rename_data(coord, data) data$r <- r_rescale(coord, data$r, details) data$theta <- theta_rescale(coord, data$theta, details) data$x <- data$r * sin(data$theta) + 0.5 data$y <- data$r * cos(data$theta) + 0.5 data } #' @S3method coord_render_axis_v polar coord_render_axis_v.polar <- function(coord, details, theme) { x <- r_rescale(coord,details$r.major, details) + 0.5 guide_axis(x, details$r.labels, "left", theme) } #' @S3method coord_render_axis_h polar coord_render_axis_h.polar <- function(coord, details, theme) { guide_axis(NA, "", "bottom", theme) } #' @S3method coord_render_bg polar coord_render_bg.polar <- function(coord, details, theme) { details <- rename_data(coord, details) theta <- if (length(details$theta.major) > 0) theta_rescale(coord, details$theta.major, details) thetamin <- if (length(details$theta.minor) > 0) theta_rescale(coord, details$theta.minor, details) thetafine <- seq(0, 2 * pi, length=100) r <- 0.4 rfine <- c(r_rescale(coord, details$r.major, details), 0.45) # This gets the proper theme element for theta and r grid lines: # panel.grid.major.x or .y majortheta <- paste("panel.grid.major.", coord$theta, sep = "") minortheta <- paste("panel.grid.minor.", coord$theta, sep = "") majorr <- paste("panel.grid.major.", coord$r, sep = "") ggname("grill", grobTree( element_render(theme, "panel.background"), if (length(theta) > 0) element_render( theme, majortheta, name = "angle", x = c(rbind(0, 0.45 * sin(theta))) + 0.5, y = c(rbind(0, 0.45 * cos(theta))) + 0.5, id.lengths = rep(2, length(theta)), default.units="native" ), if (length(thetamin) > 0) element_render( theme, minortheta, name = "angle", x = c(rbind(0, 0.45 * sin(thetamin))) + 0.5, y = c(rbind(0, 0.45 * cos(thetamin))) + 0.5, id.lengths = rep(2, length(thetamin)), default.units="native" ), element_render( theme, majorr, name = "radius", x = rep(rfine, each=length(thetafine)) * sin(thetafine) + 0.5, y = rep(rfine, each=length(thetafine)) * cos(thetafine) + 0.5, id.lengths = rep(length(thetafine), length(rfine)), default.units="native" ) )) } #' @S3method coord_render_fg polar coord_render_fg.polar <- function(coord, details, theme) { if (is.null(details$theta.major)) { return(element_render(theme, "panel.border")) } theta <- theta_rescale(coord, details$theta.major, details) labels <- details$theta.labels # Combine the two ends of the scale if they are close theta <- theta[!is.na(theta)] ends_apart <- (theta[length(theta)] - theta[1]) %% (2*pi) if (ends_apart < 0.05) { n <- length(labels) if (is.expression(labels)) { combined <- substitute(paste(a, "/", b), list(a = labels[[1]], b = labels[[n]])) } else { combined <- paste(labels[1], labels[n], sep="/") } labels[[n]] <- combined labels <- labels[-1] theta <- theta[-1] } grobTree( if (length(labels) > 0) element_render( theme, "axis.text.x", labels, 0.45 * sin(theta) + 0.5, 0.45 * cos(theta) + 0.5, hjust = 0.5, vjust = 0.5, default.units="native" ), element_render(theme, "panel.border") ) } #' @S3method coord_labels polar coord_labels.polar <- function(coord, scales) { if (coord$theta == "y") { list(x = scales$y, y = scales$x) } else { scales } } ggplot2/R/guides-.r0000644000175100001440000002276512114160774013606 0ustar hornikusers#' Set guides for each scale. #' #' Guides for each scale can be set in call of \code{scale_*} with argument #' \code{guide}, or in \code{guides}. #' #' @param ... List of scale guide pairs #' @return A list containing the mapping between scale and guide. #' @export #' @family guides #' @examples #' \donttest{ #' # ggplot object #' #' dat <- data.frame(x = 1:5, y = 1:5, p = 1:5, q = factor(1:5), #' r = factor(1:5)) #' p <- ggplot(dat, aes(x, y, colour = p, size = q, shape = r)) + geom_point() #' #' # without guide specification #' p #' #' # Show colorbar guide for colour. #' # All these examples below have a same effect. #' #' p + guides(colour = "colorbar", size = "legend", shape = "legend") #' p + guides(colour = guide_colorbar(), size = guide_legend(), #' shape = guide_legend()) #' p + #' scale_colour_continuous(guide = "colorbar") + #' scale_size_discrete(guide = "legend") + #' scale_shape(guide = "legend") #' #' # Guides are integrated where possible #' #' p + guides(colour = guide_legend("title"), size = guide_legend("title"), #' shape = guide_legend("title")) #' # same as #' g <- guide_legend("title") #' p + guides(colour = g, size = g, shape = g) #' #' p + theme(legend.position = "bottom") #' #' # position of guides #' #' p + theme(legend.position = "bottom", legend.box = "horizontal") #' #' # Set order for multiple guides #' #' qplot(data = mpg, x = displ, y = cty, size = hwy, colour = cyl, shape = drv) + #' guides(colour = guide_colourbar(order = 1), #' alpha = guide_legend(order = 2), #' size = guide_legend(order = 3)) #' } guides <- function(...) { args <- list(...) if (is.list(args[[1]]) && !inherits(args[[1]], "guide")) args <- args[[1]] args <- rename_aes(args) structure(args, class = "guides") } update_guides <- function(p, guides) { p <- plot_clone(p) p$guides <- defaults(guides, p$guides) p } # building guides - called in ggplotGrob (plot-render.r) # # the procedure is as follows: # # 1. guides_train() # train each scale and generate guide definition for all guides # here, one gdef for one scale # # 2. guides_merge() # merge gdefs if they are overlayed # number of gdefs may be less than number of scales # # 3. guides_geom() # process layer information and generate geom info. # # 4. guides_gengrob() # generate ggrob from each gdef # one ggrob for one gdef # # 5. guides_build() # arrange all ggrobs build_guides <- function(scales, layers, default_mapping, position, theme, guides, labels) { # set themes w.r.t. guides # should these theme$legend.XXX be renamed to theme$guide.XXX ? # by default, guide boxes are vertically aligned theme$legend.box <- theme$legend.box %||% "vertical" # size of key (also used for bar in colorbar guide) theme$legend.key.width <- theme$legend.key.width %||% theme$legend.key.size theme$legend.key.height <- theme$legend.key.height %||% theme$legend.key.size # by default, direction of each guide depends on the position of the guide. theme$legend.direction <- theme$legend.direction %||% if (length(position) == 1 && position %in% c("top", "bottom", "left", "right")) switch(position[1], top =, bottom = "horizontal", left =, right = "vertical") else "vertical" # justification of legend boxes theme$legend.box.just <- theme$legend.box.just %||% if (length(position) == 1 && position %in% c("top", "bottom", "left", "right")) switch(position, bottom =, top = c("center", "top"), left =, right = c("left", "top")) else c("center", "center") # scales -> data for guides gdefs <- guides_train(scales = scales, theme = theme, guides = guides, labels = labels) if (length(gdefs) == 0) return(zeroGrob()) # merge overlay guides gdefs <- guides_merge(gdefs) # process layer information gdefs <- guides_geom(gdefs, layers, default_mapping) if (length(gdefs) == 0) return(zeroGrob()) # generate grob of each guides ggrobs <- guides_gengrob(gdefs, theme) # build up guides grobs <- guides_build(ggrobs, theme) grobs } # validate guide object validate_guide <- function(guide) { # if guide is specified by character, then find the corrsponding guide if (is.character(guide)) match.fun(paste("guide_", guide, sep=""))() else if (inherits(guide, "guide")) guide else stop("Unknown guide: ", guide) } # train each scale in scales and generate the definition of guide guides_train <- function(scales, theme, guides, labels) { gdefs <- list() for(scale in scales$scales) { # guides(XXX) is stored in guides[[XXX]], # which is prior to scale_ZZZ(guide=XXX) # guide is determined in order of: # + guides(XXX) > + scale_ZZZ(guide=XXX) > default(i.e., legend) output <- scale$aesthetics[1] guide <- guides[[output]] %||% scale$guide # this should be changed to testing guide == "none" # scale$legend is backward compatibility # if guides(XXX=FALSE), then scale_ZZZ(guides=XXX) is discarded. if (guide=="none" || (is.logical(guide) && !guide)) next if ((!is.null(scale$legend) && !scale$legend) || is.null(scale_limits(scale))) next # for backward compatibility # check the validity of guide. # if guide is character, then find the guide object guide <- validate_guide(guide) # check the consistency of the guide and scale. if (guide$available_aes != "any" && ! scale$aesthetics %in% guide$available_aes) stop (paste("Guide '", guide$name, "' cannot be used for '", scale$aesthetics, "'.", sep="")) # title of this grob if (is.waive(guide$title)) guide$title <- scale$name %||% labels[[output]] # direction of this grob guide$direction <- guide$direction %||% theme$legend.direction # each guide object trains scale within the object, # so Guides (i.e., the container of guides) need not to know about them guide <- guide_train(guide, scale) if (!is.null(guide)) gdefs[[length(gdefs)+1]] <- guide } gdefs } # merge overlapped guides guides_merge <- function(gdefs) { # split gdefs based on hash, and apply Reduce (guide_merge) to each gdef groug. gdefs <- lapply(gdefs, function(g) { if (g$order == 0) { order <- "99" } else { order <- sprintf("%02d", g$order) } g$hash <- paste(order, g$hash, sep = "_") g }) tapply(gdefs, sapply(gdefs, function(g)g$hash), function(gs)Reduce(guide_merge, gs)) } # process layer information guides_geom <- function(gdefs, layers, default_mapping) { compact(lapply(gdefs, guide_geom, layers, default_mapping)) } # generate grob from each gdef (needs to write this function?) guides_gengrob <- function(gdefs, theme) { # common drawing process for all guides gdefs <- lapply(gdefs, function(g) { g$title.position <- g$title.position %||% switch(g$direction, vertical="top", horizontal="left") if (!g$title.position %in% c("top", "bottom", "left", "right")) stop("title position \"", g$title.position, "\" is invalid") g }) lapply(gdefs, guide_gengrob, theme) } # build up all guide boxes into one guide-boxes. guides_build <- function(ggrobs, theme) { n <- length(ggrobs) theme$guide.margin <- theme$guide.margin %||% unit(0.5, "lines") theme$guide.vmargin <- theme$guide.vmargin %||% theme$guide.margin theme$guide.hmargin <- theme$guide.hmargin %||% theme$guide.margin widths <- do.call("unit.c", lapply(ggrobs, function(g)sum(g$widths))) heights <- do.call("unit.c", lapply(ggrobs, function(g)sum(g$heights))) # Set the justification of each legend within the legend box # First value is xjust, second value is yjust just <- valid.just(theme$legend.box.just) xjust <- just[1] yjust <- just[2] # setting that is different for vergical and horizontal guide-boxes. if (theme$legend.box == "horizontal") { # Set justification for each legend for (i in seq_along(ggrobs)) { ggrobs[[i]] <- editGrob(ggrobs[[i]], vp = viewport(x = xjust, y = yjust, just = c(xjust, yjust), height = heightDetails(ggrobs[[i]]))) } guides <- gtable_row(name = "guides", grobs = ggrobs, widths = widths, height = max(heights)) # add space between the guide-boxes guides <- gtable_add_col_space(guides, theme$guide.hmargin) } else if (theme$legend.box == "vertical") { # Set justification for each legend for (i in seq_along(ggrobs)) { ggrobs[[i]] <- editGrob(ggrobs[[i]], vp = viewport(x = xjust, y = yjust, just = c(xjust, yjust), width = widthDetails(ggrobs[[i]]))) } guides <- gtable_col(name = "guides", grobs = ggrobs, width = max(widths), heights = heights) # add space between the guide-boxes guides <- gtable_add_row_space(guides, theme$guide.vmargin) } # add margins around the guide-boxes. guides <- gtable_add_cols(guides, theme$guide.hmargin, pos = 0) guides <- gtable_add_cols(guides, theme$guide.hmargin, pos = ncol(guides)) guides <- gtable_add_rows(guides, theme$guide.vmargin, pos = 0) guides <- gtable_add_rows(guides, theme$guide.vmargin, pos = nrow(guides)) guides$name <- "guide-box" guides } # S3 dispatches #' @S3method guide_train legend #' @S3method guide_train colorbar guide_train <- function(...) UseMethod("guide_train") #' @S3method guide_merge legend #' @S3method guide_merge colorbar guide_merge <- function(...) UseMethod("guide_merge") #' @S3method guide_geom legend #' @S3method guide_geom colorbar guide_geom <- function(...) UseMethod("guide_geom") #' @S3method guide_gengrob legend #' @S3method guide_gengrob colorbar guide_gengrob <- function(...) UseMethod("guide_gengrob") ggplot2/R/geom-path-step.r0000644000175100001440000000405112114160774015067 0ustar hornikusers#' Connect observations by stairs. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "step")} #' #' @inheritParams geom_point #' @param direction direction of stairs: 'vh' for vertical then horizontal, or #' 'hv' for horizontal then vertical #' @export #' @examples #' # Simple quantiles/ECDF from examples(plot) #' x <- sort(rnorm(47)) #' qplot(seq_along(x), x, geom="step") #' #' # Steps go horizontally, then vertically (default) #' qplot(seq_along(x), x, geom="step", direction = "hv") #' plot(x, type = "s") #' # Steps go vertically, then horizontally #' qplot(seq_along(x), x, geom="step", direction = "vh") #' plot(x, type = "S") #' #' # Also works with other aesthetics #' df <- data.frame( #' x = sort(rnorm(50)), #' trt = sample(c("a", "b"), 50, rep = TRUE) #' ) #' qplot(seq_along(x), x, data = df, geom="step", colour = trt) geom_step <- function (mapping = NULL, data = NULL, stat = "identity", position = "identity", direction = "hv", ...) { GeomStep$new(mapping = mapping, data = data, stat = stat, position = position, direction = direction, ...) } GeomStep <- proto(Geom, { objname <- "step" details <- "Equivalent to plot(type='s')." default_aes <- function(.) aes(colour="black", size=0.5, linetype=1, alpha = NA) draw <- function(., data, scales, coordinates, direction = "hv", ...) { data <- stairstep(data, direction) GeomPath$draw(data, scales, coordinates, ...) } guide_geom <- function(.) "path" default_stat <- function(.) StatIdentity }) # Calculate stairsteps # Used by \code{\link{geom_step}} # # @keyword internal stairstep <- function(data, direction="hv") { direction <- match.arg(direction, c("hv", "vh")) data <- as.data.frame(data)[order(data$x), ] n <- nrow(data) if (direction == "vh") { xs <- rep(1:n, each = 2)[-2*n] ys <- c(1, rep(2:n, each=2)) } else { ys <- rep(1:n, each = 2)[-2*n] xs <- c(1, rep(2:n, each=2)) } data.frame( x = data$x[xs], y = data$y[ys], data[xs, setdiff(names(data), c("x", "y"))] ) } ggplot2/R/limits.r0000644000175100001440000000617212114160774013544 0ustar hornikusers#' Convenience functions to set the limits of the x and y axis. #' #' Observations not in this range will be dropped completely and #' not passed to any other layers. #' #' @param ... if numeric, will create a continuous scale, if factor or #' character, will create a discrete scale. #' @seealso For changing x or y axis limits \strong{without} dropping data #' observations, see \code{\link{coord_cartesian}}. #' @rdname xylim #' @export #' @examples #' # xlim #' xlim(15, 20) #' xlim(20, 15) #' xlim(c(10, 20)) #' xlim("a", "b", "c") #' qplot(mpg, wt, data=mtcars) + xlim(15, 20) #' #' # ylim #' ylim(15, 20) #' ylim(c(10, 20)) #' ylim("a", "b", "c") #' qplot(mpg, wt, data=mtcars) + ylim(15, 20) xlim <- function(...) { limits(c(...), "x") } #' @rdname xylim #' @export ylim <- function(...) { limits(c(...), "y") } #' Generate correct scale type for specified limits #' #' @param limts vector of limits #' @param var name of variable #' @keywords internal #' @S3method limits numeric #' @S3method limits character #' @S3method limits factor #' @S3method limits Date #' @S3method limits POSIXct #' @S3method limits POSIXlt #' @examples #' ggplot2:::limits(c(1, 5), "x") #' ggplot2:::limits(c(5, 1), "x") #' ggplot2:::limits(c("A", "b", "c"), "x") #' ggplot2:::limits(c("A", "b", "c"), "fill") #' ggplot2:::limits(as.Date(c("2008-01-01", "2009-01-01")), "x") limits <- function(lims, var) UseMethod("limits") limits.numeric <- function(lims, var) { stopifnot(length(lims) == 2) if (lims[1] > lims[2]) { trans <- "reverse" } else { trans <- "identity" } make_scale("continuous", var, limits = lims, trans = trans) } make_scale <- function(type, var, ...) { scale <- match.fun(paste("scale_", var, "_", type, sep = "")) scale(...) } limits.character <- function(lims, var) { make_scale("discrete", var, limits = lims) } limits.factor <- function(lims, var) { make_scale("discrete", var, limits = as.character(lims)) } limits.Date <- function(lims, var) { stopifnot(length(lims) == 2) make_scale("date", var, limits = lims) } limits.POSIXct <- function(lims, var) { stopifnot(length(lims) == 2) make_scale("datetime", var, limits = lims) } limits.POSIXlt <- function(lims, var) { stopifnot(length(lims) == 2) make_scale("datetime", var, limits = as.POSIXct(lims)) } #' Expand the plot limits with data. #' #. Sometimes you may want to ensure limits include a single value, for all #' panels or all plots. This function is a thin wrapper around #' \code{\link{geom_blank}} that makes it easy to add such values. #' #' @param ... named list of aesthetics specifying the value (or values) that #' should be included in each scale. #' @export #' @examples #' p <- qplot(mpg, wt, data = mtcars) #' p + expand_limits(x = 0) #' p + expand_limits(y = c(1, 9)) #' p + expand_limits(x = 0, y = 0) #' #' qplot(mpg, wt, data = mtcars, colour = cyl) + #' expand_limits(colour = seq(2, 10, by = 2)) #' qplot(mpg, wt, data = mtcars, colour = factor(cyl)) + #' expand_limits(colour = factor(seq(2, 10, by = 2))) expand_limits <- function(...) { data <- data.frame(...) geom_blank(aes_all(names(data)), data, inherit.aes = FALSE) } ggplot2/R/stat-summary-2d.r0000644000175100001440000000716512114160774015217 0ustar hornikusers#' Apply function for 2D rectangular bins. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "summary2d")} #' #' \code{stat_summary2d} is 2D version of \code{\link{stat_summary}}. The data are devided by \code{x} and \code{y}. #' \code{z} in each cell is passed to arbitral summary function. #' #' \code{stat_summary2d} requires the following aesthetics: #' #' \itemize{ #' \item \code{x}: horizontal position #' \item \code{y}: vertical position #' \item \code{z}: value passed to the summary function #' } #' #' @seealso \code{\link{stat_summary_hex}} for hexagonal summarization. \code{\link{stat_bin2d}} for the binning options. #' @title Apply funciton for 2D rectangular bins. #' @inheritParams stat_identity #' @param bins see \code{\link{stat_bin2d}} #' @param drop drop if the output of \code{fun} is \code{NA}. #' @param fun function for summary. #' @param ... parameters passed to \code{fun} #' @export #' @examples #' \donttest{ #' d <- ggplot(diamonds, aes(carat, depth, z = price)) #' d + stat_summary2d() #' #' # Specifying function #' d + stat_summary2d(fun = function(x) sum(x^2)) #' d + stat_summary2d(fun = var) #' } stat_summary2d <- function (mapping = NULL, data = NULL, geom = NULL, position = "identity", bins = 30, drop = TRUE, fun = mean, ...) { StatSummary2d$new(mapping = mapping, data = data, geom = geom, position = position, bins = bins, drop = drop, fun = fun, ...) } StatSummary2d <- proto(Stat, { objname <- "Summary2d" default_aes <- function(.) aes(fill = ..value..) required_aes <- c("x", "y", "z") default_geom <- function(.) GeomRect calculate <- function(., data, scales, binwidth = NULL, bins = 30, breaks = NULL, origin = NULL, drop = TRUE, fun = mean, ...) { data <- remove_missing(data, FALSE, c("x", "y", "z"), name="stat_summary2d") range <- list( x = scale_dimension(scales$x, c(0, 0)), y = scale_dimension(scales$y, c(0, 0)) ) # Determine origin, if omitted if (is.null(origin)) { origin <- c(NA, NA) } else { stopifnot(is.numeric(origin)) stopifnot(length(origin) == 2) } originf <- function(x) if (is.integer(x)) -0.5 else min(x) if (is.na(origin[1])) origin[1] <- originf(data$x) if (is.na(origin[2])) origin[2] <- originf(data$y) # Determine binwidth, if omitted if (is.null(binwidth)) { binwidth <- c(NA, NA) if (is.integer(data$x)) { binwidth[1] <- 1 } else { binwidth[1] <- diff(range$x) / bins } if (is.integer(data$y)) { binwidth[2] <- 1 } else { binwidth[2] <- diff(range$y) / bins } } stopifnot(is.numeric(binwidth)) stopifnot(length(binwidth) == 2) # Determine breaks, if omitted if (is.null(breaks)) { breaks <- list( seq(origin[1], max(range$x) + binwidth[1], binwidth[1]), seq(origin[2], max(range$y) + binwidth[2], binwidth[2]) ) } else { stopifnot(is.list(breaks)) stopifnot(length(breaks) == 2) stopifnot(all(sapply(breaks, is.numeric))) } names(breaks) <- c("x", "y") xbin <- cut(data$x, sort(breaks$x), include.lowest=TRUE) ybin <- cut(data$y, sort(breaks$y), include.lowest=TRUE) if (is.null(data$weight)) data$weight <- 1 ans <- ddply(data.frame(data, xbin, ybin), .(xbin, ybin), function(d) data.frame(value = fun(d$z, ...))) if (drop) ans <- na.omit(ans) within(ans,{ xint <- as.numeric(xbin) xmin <- breaks$x[xint] xmax <- breaks$x[xint + 1] yint <- as.numeric(ybin) ymin <- breaks$y[yint] ymax <- breaks$y[yint + 1] }) } }) ggplot2/R/scale-datetime.r0000644000175100001440000000644212114160774015124 0ustar hornikusers#' Position scale, date #' #' @rdname scale_datetime #' @family position scales #' @inheritParams scale_x_continuous #' @param breaks A vector of breaks, a function that given the scale limits #' returns a vector of breaks, or a character vector, specifying the width #' between breaks. For more information about the first two, see #' \code{\link{continuous_scale}}, for more information about the last, #' see \code{\link[scales]{date_breaks}}`. #' @param minor_breaks Either \code{NULL} for no minor breaks, \code{waiver()} #' for the default breaks (one minor break between each major break), a #' numeric vector of positions, or a function that given the limits returns #' a vector of minor breaks. #' @export #' @examples #' start <- ISOdate(2001, 1, 1, tz = "") #' df <- data.frame( #' day30 = start + round(runif(100, max = 30 * 86400)), #' day7 = start + round(runif(100, max = 7 * 86400)), #' day = start + round(runif(100, max = 86400)), #' hour10 = start + round(runif(100, max = 10 * 3600)), #' hour5 = start + round(runif(100, max = 5 * 3600)), #' hour = start + round(runif(100, max = 3600)), #' min10 = start + round(runif(100, max = 10 * 60)), #' min5 = start + round(runif(100, max = 5 * 60)), #' min = start + round(runif(100, max = 60)), #' sec10 = start + round(runif(100, max = 10)), #' y = runif(100) #' ) #' #' # Automatic scale selection #' qplot(sec10, y, data = df) #' qplot(min, y, data = df) #' qplot(min5, y, data = df) #' qplot(min10, y, data = df) #' qplot(hour, y, data = df) #' qplot(hour5, y, data = df) #' qplot(hour10, y, data = df) #' qplot(day, y, data = df) #' qplot(day30, y, data = df) #' #' # Manual scale selection #' qplot(day30, y, data = df) #' library(scales) # to access breaks/formatting functions #' last_plot() + scale_x_datetime(breaks = date_breaks("2 weeks")) #' last_plot() + scale_x_datetime(breaks = date_breaks("10 days")) #' library(scales) # to access breaks/formatting functions #' last_plot() + scale_x_datetime(breaks = date_breaks("10 days"), #' labels = date_format("%d/%m")) #' last_plot() + scale_x_datetime(breaks = date_breaks("1 day"), #' minor_breaks = date_breaks("2 hour")) scale_x_datetime <- function(..., expand = waiver(), breaks = pretty_breaks(), minor_breaks = waiver()) { scale_datetime(c("x", "xmin", "xmax", "xend"), expand = expand, breaks = breaks, minor_breaks = minor_breaks, ...) } #' @S3method scale_map datetime scale_map.datetime <- function(scale, x, limits = scale_limits(scale)) { x } #' @rdname scale_datetime #' @export scale_y_datetime <- function(..., expand = waiver(), breaks = pretty_breaks(), minor_breaks = waiver()) { scale_datetime(c("y", "ymin", "ymax", "yend"), expand = expand, breaks = breaks, minor_breaks = minor_breaks, ...) } # base class for scale_{xy}_datetime scale_datetime <- function(aesthetics, expand = waiver(), breaks = pretty_breaks(), minor_breaks = waiver(), ...) { if (is.character(breaks)) { breaks_str <- breaks breaks <- date_breaks(breaks_str) } if (is.character(minor_breaks)) { mbreaks_str <- minor_breaks minor_breaks <- date_breaks(mbreaks_str) } continuous_scale(aesthetics, "datetime", identity, breaks = breaks, minor_breaks = minor_breaks, guide = "none", expand = expand, trans = "time", ...) } ggplot2/R/scale-manual.r0000644000175100001440000000513512114160774014603 0ustar hornikusers#' Create your own discrete scale. #' #' @name scale_manual #' @inheritParams scale_x_discrete #' @param values a set of aesthetic values to map data values to. If this #' is a named vector, then the values will be matched based on the names. #' If unnamed, values will be matched in order (usually alphabetical) with #' the limits of the scale. Any data values that don't match will be #' given \code{na.value}. #' @examples #' \donttest{ #' p <- qplot(mpg, wt, data = mtcars, colour = factor(cyl)) #' #' p + scale_colour_manual(values = c("red","blue", "green")) #' p + scale_colour_manual( #' values = c("8" = "red","4" = "blue","6" = "green")) #' # With rgb hex values #' p + scale_colour_manual(values = c("#FF0000", "#0000FF", "#00FF00")) #' #' # As with other scales you can use breaks to control the appearance #' # of the legend #' cols <- c("8" = "red","4" = "blue","6" = "darkgreen", "10" = "orange") #' p + scale_colour_manual(values = cols) #' p + scale_colour_manual(values = cols, breaks = c("4", "6", "8")) #' p + scale_colour_manual(values = cols, breaks = c("8", "6", "4")) #' p + scale_colour_manual(values = cols, breaks = c("4", "6", "8"), #' labels = c("four", "six", "eight")) #' #' # And limits to control the possible values of the scale #' p + scale_colour_manual(values = cols, limits = c("4", "8")) #' p + scale_colour_manual(values = cols, limits = c("4", "6", "8", "10")) #' #' # Notice that the values are matched with limits, and not breaks #' p + scale_colour_manual(limits = c(6, 8, 4), breaks = c(8, 4, 6), #' values = c("grey50", "grey80", "black")) #' } NULL #' @rdname scale_manual #' @export scale_colour_manual <- function(..., values) { manual_scale("colour", values, ...) } #' @rdname scale_manual #' @export scale_fill_manual <- function(..., values) { manual_scale("fill", values, ...) } #' @rdname scale_manual #' @export scale_size_manual <- function(..., values) { manual_scale("size", values, ...) } #' @rdname scale_manual #' @export scale_shape_manual <- function(..., values) { manual_scale("shape", values, ...) } #' @rdname scale_manual #' @export scale_linetype_manual <- function(..., values) { manual_scale("linetype", values, ...) } #' @rdname scale_manual #' @export scale_alpha_manual <- function(..., values) { manual_scale("alpha", values, ...) } manual_scale <- function(aesthetic, values, ...) { pal <- function(n) { if (n > length(values)) { stop("Insufficient values in manual scale. ", n, " needed but only ", length(values), " provided.", call. = FALSE) } values } discrete_scale(aesthetic, "manual", pal, ...) } ggplot2/R/geom-path-.r0000644000175100001440000001674412114160774014207 0ustar hornikusers#' Connect observations in original order #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "path")} #' #' @inheritParams geom_point #' @param lineend Line end style (round, butt, square) #' @param linejoin Line join style (round, mitre, bevel) #' @param linemitre Line mitre limit (number greater than 1) #' @param arrow Arrow specification, as created by ?grid::arrow #' @seealso \code{\link{geom_line}}: Functional (ordered) lines; #' \code{\link{geom_polygon}}: Filled paths (polygons); #' \code{\link{geom_segment}}: Line segments #' @export #' @examples #' \donttest{ #' # Generate data #' library(plyr) #' myear <- ddply(movies, .(year), colwise(mean, .(length, rating))) #' p <- ggplot(myear, aes(length, rating)) #' p + geom_path() #' #' # Add aesthetic mappings #' p + geom_path(aes(size = year)) #' p + geom_path(aes(colour = year)) #' #' # Change scale #' p + geom_path(aes(size = year)) + scale_size(range = c(1, 3)) #' #' # Set aesthetics to fixed value #' p + geom_path(colour = "green") #' #' # Control line join parameters #' df <- data.frame(x = 1:3, y = c(4, 1, 9)) #' base <- ggplot(df, aes(x, y)) #' base + geom_path(size = 10) #' base + geom_path(size = 10, lineend = "round") #' base + geom_path(size = 10, linejoin = "mitre", lineend = "butt") #' #' # Use qplot instead #' qplot(length, rating, data=myear, geom="path") #' #' # Using economic data: #' # How is unemployment and personal savings rate related? #' qplot(unemploy/pop, psavert, data=economics) #' qplot(unemploy/pop, psavert, data=economics, geom="path") #' qplot(unemploy/pop, psavert, data=economics, geom="path", size=as.numeric(date)) #' #' # How is rate of unemployment and length of unemployment? #' qplot(unemploy/pop, uempmed, data=economics) #' qplot(unemploy/pop, uempmed, data=economics, geom="path") #' qplot(unemploy/pop, uempmed, data=economics, geom="path") + #' geom_point(data=head(economics, 1), colour="red") + #' geom_point(data=tail(economics, 1), colour="blue") #' qplot(unemploy/pop, uempmed, data=economics, geom="path") + #' geom_text(data=head(economics, 1), label="1967", colour="blue") + #' geom_text(data=tail(economics, 1), label="2007", colour="blue") #' #' # geom_path removes missing values on the ends of a line. #' # use na.rm = T to suppress the warning message #' df <- data.frame( #' x = 1:5, #' y1 = c(1, 2, 3, 4, NA), #' y2 = c(NA, 2, 3, 4, 5), #' y3 = c(1, 2, NA, 4, 5), #' y4 = c(1, 2, 3, 4, 5)) #' qplot(x, y1, data = df, geom = c("point","line")) #' qplot(x, y2, data = df, geom = c("point","line")) #' qplot(x, y3, data = df, geom = c("point","line")) #' qplot(x, y4, data = df, geom = c("point","line")) #' #' # Setting line type vs colour/size #' # Line type needs to be applied to a line as a whole, so it can #' # not be used with colour or size that vary across a line #' #' x <- seq(0.01, .99, length=100) #' df <- data.frame(x = rep(x, 2), y = c(qlogis(x), 2 * qlogis(x)), group = rep(c("a","b"), each=100)) #' p <- ggplot(df, aes(x=x, y=y, group=group)) #' #' # Should work #' p + geom_line(linetype = 2) #' p + geom_line(aes(colour = group), linetype = 2) #' p + geom_line(aes(colour = x)) #' #' # Should fail #' should_stop(p + geom_line(aes(colour = x), linetype=2)) #' #' # Use the arrow parameter to add an arrow to the line #' # See ?grid::arrow for more details #' library(grid) #' c <- ggplot(economics, aes(x = date, y = pop)) #' # Arrow defaults to "last" #' c + geom_path(arrow = arrow()) #' c + geom_path(arrow = arrow(angle = 15, ends = "both", length = unit(0.6, "inches"))) #' } geom_path <- function (mapping = NULL, data = NULL, stat = "identity", position = "identity", lineend = "butt", linejoin = "round", linemitre = 1, na.rm = FALSE, arrow = NULL, ...) { GeomPath$new(mapping = mapping, data = data, stat = stat, position = position, lineend = lineend, linejoin = linejoin, linemitre = linemitre, na.rm = na.rm, arrow = arrow, ...) } GeomPath <- proto(Geom, { objname <- "path" draw_groups <- function(., ...) .$draw(...) draw <- function(., data, scales, coordinates, arrow = NULL, lineend = "butt", linejoin = "round", linemitre = 1, ..., na.rm = FALSE) { if (!anyDuplicated(data$group)) { message("geom_path: Each group consist of only one observation. Do you need to adjust the group aesthetic?") } keep <- function(x) { # from first non-missing to last non-missing first <- match(FALSE, x, nomatch = 1) - 1 last <- length(x) - match(FALSE, rev(x), nomatch = 1) + 1 c( rep(FALSE, first), rep(TRUE, last - first), rep(FALSE, length(x) - last)) } # Drop missing values at the start or end of a line - can't drop in the # middle since you expect those to be shown by a break in the line missing <- !complete.cases(data[c("x", "y", "size", "colour", "linetype")]) kept <- ave(missing, data$group, FUN=keep) data <- data[kept, ] # must be sorted on group data <- arrange(data, group) if (!all(kept) && !na.rm) { warning("Removed ", sum(!kept), " rows containing missing values", " (geom_path).", call. = FALSE) } munched <- coord_munch(coordinates, data, scales) # Silently drop lines with less than two points, preserving order rows <- ave(seq_len(nrow(munched)), munched$group, FUN = length) munched <- munched[rows >= 2, ] if (nrow(munched) < 2) return(zeroGrob()) # Work out whether we should use lines or segments attr <- ddply(munched, .(group), function(df) { data.frame( solid = identical(unique(df$linetype), 1), constant = nrow(unique(df[, c("alpha", "colour","size", "linetype")])) == 1 ) }) solid_lines <- all(attr$solid) constant <- all(attr$constant) if (!solid_lines && !constant) { stop("geom_path: If you are using dotted or dashed lines", ", colour, size and linetype must be constant over the line", call.=FALSE) } # Work out grouping variables for grobs n <- nrow(munched) group_diff <- munched$group[-1] != munched$group[-n] start <- c(TRUE, group_diff) end <- c(group_diff, TRUE) if (!constant) { with(munched, segmentsGrob( x[!end], y[!end], x[!start], y[!start], default.units="native", arrow = arrow, gp = gpar( col = alpha(colour, alpha)[!end], fill = alpha(colour, alpha)[!end], lwd = size[!end] * .pt, lty = linetype[!end], lineend = lineend, linejoin = linejoin, linemitre = linemitre ) ) ) } else { id <- match(munched$group, unique(munched$group)) with(munched, polylineGrob( x, y, id = id, default.units = "native", arrow = arrow, gp = gpar( col = alpha(colour, alpha)[start], fill = alpha(colour, alpha)[start], lwd = size[start] * .pt, lty = linetype[start], lineend = lineend, linejoin = linejoin, linemitre = linemitre) ) ) } } draw_legend <- function(., data, ...) { data$arrow <- NULL data <- aesdefaults(data, .$default_aes(), list(...)) with(data, ggname(.$my_name(), segmentsGrob(0.1, 0.5, 0.9, 0.5, default.units="npc", gp=gpar(col=alpha(colour, alpha), lwd=size * .pt, lty=linetype, lineend="butt"))) ) } default_stat <- function(.) StatIdentity required_aes <- c("x", "y") default_aes <- function(.) aes(colour="black", size=0.5, linetype=1, alpha = NA) guide_geom <- function(.) "path" }) ggplot2/R/stat-density-2d.r0000644000175100001440000000634212114160774015175 0ustar hornikusers#' 2d density estimation. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "density2d")} #' #' @param contour If \code{TRUE}, contour the results of the 2d density #' estimation #' @param n number of grid points in each direction #' @param ... other arguments passed on to \code{\link{kde2d}} #' @param na.rm If \code{FALSE} (the default), removes missing values with #' a warning. If \code{TRUE} silently removes missing values. #' @inheritParams stat_identity #' @return A data frame in the same format as \code{\link{stat_contour}} #' @importFrom MASS kde2d #' @export #' @examples #' \donttest{ #' library("MASS") #' data(geyser, "MASS") #' #' m <- ggplot(geyser, aes(x = duration, y = waiting)) + #' geom_point() + xlim(0.5, 6) + ylim(40, 110) #' m + geom_density2d() #' #' dens <- kde2d(geyser$duration, geyser$waiting, n = 50, #' lims = c(0.5, 6, 40, 110)) #' densdf <- data.frame(expand.grid(duration = dens$x, waiting = dens$y), #' z = as.vector(dens$z)) #' m + geom_contour(aes(z=z), data=densdf) #' #' m + geom_density2d() + scale_y_log10() #' m + geom_density2d() + coord_trans(y="log10") #' #' m + stat_density2d(aes(fill = ..level..), geom="polygon") #' #' qplot(duration, waiting, data=geyser, geom=c("point","density2d")) + #' xlim(0.5, 6) + ylim(40, 110) #' #' # If you map an aesthetic to a categorical variable, you will get a #' # set of contours for each value of that variable #' set.seed(4393) #' dsmall <- diamonds[sample(nrow(diamonds), 1000), ] #' qplot(x, y, data = dsmall, geom = "density2d", colour = cut) #' qplot(x, y, data = dsmall, geom = "density2d", linetype = cut) #' qplot(carat, price, data = dsmall, geom = "density2d", colour = cut) #' d <- ggplot(dsmall, aes(carat, price)) + xlim(1,3) #' d + geom_point() + geom_density2d() #' #' # If we turn contouring off, we can use use geoms like tiles: #' d + stat_density2d(geom="tile", aes(fill = ..density..), contour = FALSE) #' last_plot() + scale_fill_gradient(limits=c(1e-5,8e-4)) #' #' # Or points: #' d + stat_density2d(geom="point", aes(size = ..density..), contour = FALSE) #' } stat_density2d <- function (mapping = NULL, data = NULL, geom = "density2d", position = "identity", na.rm = FALSE, contour = TRUE, n = 100, ...) { StatDensity2d$new(mapping = mapping, data = data, geom = geom, position = position, na.rm = na.rm, contour = contour, n = n, ...) } StatDensity2d <- proto(Stat, { objname <- "density2d" default_geom <- function(.) GeomDensity2d default_aes <- function(.) aes(colour = "#3366FF", size = 0.5) required_aes <- c("x", "y") calculate <- function(., data, scales, na.rm = FALSE, contour = TRUE, n = 100, ...) { df <- data.frame(data[, c("x", "y")]) df <- remove_missing(df, na.rm, name = "stat_density2d", finite = TRUE) dens <- safe.call(kde2d, list(x = df$x, y = df$y, n = n, lims = c(scale_dimension(scales$x), scale_dimension(scales$y)), ...)) df <- with(dens, data.frame(expand.grid(x = x, y = y), z = as.vector(z))) df$group <- data$group[1] if (contour) { StatContour$calculate(df, scales, ...) } else { names(df) <- c("x", "y", "density", "group") df$level <- 1 df$piece <- 1 df } } }) ggplot2/R/geom-.r0000644000175100001440000000257312114160774013250 0ustar hornikusersGeom <- proto(TopLevel, expr={ class <- function(.) "geom" parameters <- function(.) { params <- formals(get("draw", .)) params <- params[setdiff(names(params), c(".","data","scales", "coordinates", "..."))] required <- rep(NA, length(.$required_aes)) names(required) <- .$required_aes aesthetics <- c(.$default_aes(), required) c(params, aesthetics[setdiff(names(aesthetics), names(params))]) } required_aes <- c() default_aes <- function(.) {} default_pos <- function(.) PositionIdentity guide_geom <- function(.) "point" draw <- function(...) {} draw_groups <- function(., data, scales, coordinates, ...) { if (empty(data)) return(zeroGrob()) groups <- split(data, factor(data$group)) grobs <- lapply(groups, function(group) .$draw(group, scales, coordinates, ...)) ggname(paste(.$objname, "s", sep=""), gTree( children = do.call("gList", grobs) )) } new <- function(., mapping=NULL, data=NULL, stat=NULL, position=NULL, ...){ do.call("layer", list(mapping=mapping, data=data, stat=stat, geom=., position=position, ...)) } pprint <- function(., newline=TRUE) { cat("geom_", .$objname, ": ", sep="") # , clist(.$parameters()) if (newline) cat("\n") } reparameterise <- function(., data, params) data # Html documentation ---------------------------------- }) ggplot2/R/quick-plot.r0000644000175100001440000001310712114161113014313 0ustar hornikusers#' Quick plot #' #' \code{qplot} is the basic plotting function in the ggplot2 package, #' designed to be familiar if you're used to \code{\link{plot}} #' from the base package. It is a convenient wrapper for creating #' a number of different types of plots using a consistent #' calling scheme. See \url{http://had.co.nz/ggplot2/book/qplot.pdf} #' for the chapter in the \code{ggplot2} book which describes the usage #' of \code{qplot} in detail. #' #' @param x x values #' @param y y values #' @param ... other aesthetics passed for each layer #' @param data data frame to use (optional). If not specified, will create #' one, extracting vectors from the current environment. #' @param facets faceting formula to use. Picks \code{\link{facet_wrap}} or #' \code{\link{facet_grid}} depending on whether the formula is one sided #' or two-sided #' @param margins whether or not margins will be displayed #' @param geom character vector specifying geom to use. Defaults to #' "point" if x and y are specified, and "histogram" if only x is specified. #' @param stat character vector specifying statistics to use #' @param position character vector giving position adjustment to use #' @param xlim limits for x axis #' @param ylim limits for y axis #' @param log which variables to log transform ("x", "y", or "xy") #' @param main character vector or expression for plot title #' @param xlab character vector or expression for x axis label #' @param ylab character vector or expression for y axis label #' @param asp the y/x aspect ratio #' @aliases qplot quickplot #' @export qplot quickplot #' @examples #' \donttest{ #' # Use data from data.frame #' qplot(mpg, wt, data=mtcars) #' qplot(mpg, wt, data=mtcars, colour=cyl) #' qplot(mpg, wt, data=mtcars, size=cyl) #' qplot(mpg, wt, data=mtcars, facets=vs ~ am) #' #' # It will use data from local environment #' hp <- mtcars$hp #' wt <- mtcars$wt #' cyl <- mtcars$cyl #' vs <- mtcars$vs #' am <- mtcars$am #' qplot(hp, wt) #' qplot(hp, wt, colour=cyl) #' qplot(hp, wt, size=cyl) #' qplot(hp, wt, facets=vs ~ am) #' #' qplot(1:10, rnorm(10), colour = runif(10)) #' qplot(1:10, letters[1:10]) #' mod <- lm(mpg ~ wt, data=mtcars) #' qplot(resid(mod), fitted(mod)) #' qplot(resid(mod), fitted(mod), facets = . ~ vs) #' #' f <- function() { #' a <- 1:10 #' b <- a ^ 2 #' qplot(a, b) #' } #' f() #' #' # qplot will attempt to guess what geom you want depending on the input #' # both x and y supplied = scatterplot #' qplot(mpg, wt, data = mtcars) #' # just x supplied = histogram #' qplot(mpg, data = mtcars) #' # just y supplied = scatterplot, with x = seq_along(y) #' qplot(y = mpg, data = mtcars) #' #' # Use different geoms #' qplot(mpg, wt, data = mtcars, geom="path") #' qplot(factor(cyl), wt, data = mtcars, geom=c("boxplot", "jitter")) #' } qplot <- function(x, y = NULL, ..., data, facets = NULL, margins=FALSE, geom = "auto", stat=list(NULL), position=list(NULL), xlim = c(NA, NA), ylim = c(NA, NA), log = "", main = NULL, xlab = deparse(substitute(x)), ylab = deparse(substitute(y)), asp = NA) { argnames <- names(as.list(match.call(expand.dots=FALSE)[-1])) arguments <- as.list(match.call()[-1]) aesthetics <- compact(arguments[.all_aesthetics]) aesthetics <- aesthetics[!is.constant(aesthetics)] aes_names <- names(aesthetics) aesthetics <- rename_aes(aesthetics) class(aesthetics) <- "uneval" if (missing(data)) { # If data not explicitly specified, will be pulled from workspace data <- data.frame() # Faceting variables must be in a data frame, so pull those out facetvars <- all.vars(facets) facetvars <- facetvars[facetvars != "."] names(facetvars) <- facetvars facetsdf <- as.data.frame(lapply(facetvars, get)) if (nrow(facetsdf)) data <- facetsdf } # Work out plot data, and modify aesthetics, if necessary if ("auto" %in% geom) { if (stat == "qq" || "sample" %in% aes_names) { geom[geom == "auto"] <- "point" stat <- "qq" } else if (missing(y)) { geom[geom == "auto"] <- "histogram" if (is.null(ylab)) ylab <- "count" } else { if (missing(x)) { aesthetics$x <- bquote(seq_along(.(y)), aesthetics) } geom[geom == "auto"] <- "point" } } env <- parent.frame() p <- ggplot(data, aesthetics, environment = env) if (is.null(facets)) { p <- p + facet_null() } else if (is.formula(facets) && length(facets) == 2) { p <- p + facet_wrap(facets) } else { p <- p + facet_grid(facets = deparse(facets), margins = margins) } if (!is.null(main)) p <- p + ggtitle(main) # Add geoms/statistics if (is.proto(position)) position <- list(position) mapply(function(g, s, ps) { if(is.character(g)) g <- Geom$find(g) if(is.character(s)) s <- Stat$find(s) if(is.character(ps)) ps <- Position$find(ps) # Have to use non-standard evaluation because we can't evaluate ... params <- arguments[setdiff(names(arguments), c(aes_names, argnames))] # 1: mapply, 2: qplot, 3: caller of qplot params <- lapply(params, eval, parent.frame(3)) p <<- p + layer(geom=g, stat=s, geom_params=params, stat_params=params, position=ps) }, geom, stat, position) logv <- function(var) var %in% strsplit(log, "")[[1]] if (logv("x")) p <- p + scale_x_log10() if (logv("y")) p <- p + scale_y_log10() if (!is.na(asp)) p <- p + theme(aspect.ratio = asp) if (!missing(xlab)) p <- p + xlab(xlab) if (!missing(ylab)) p <- p + ylab(ylab) if (!missing(xlim)) p <- p + xlim(xlim) if (!missing(ylim)) p <- p + ylim(ylim) p } quickplot <- qplot # is.constant is.constant <- function(x) { sapply(x, function(x) "I" %in% all.names(asOneSidedFormula(x))) } ggplot2/R/geom-path-contour.r0000644000175100001440000000156012114160774015607 0ustar hornikusers#' Display contours of a 3d surface in 2d. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "contour")} #' #' @inheritParams geom_point #' @inheritParams geom_path #' @seealso \code{\link{geom_density2d}}: 2d density contours #' @export #' @examples #' # See stat_contour for examples geom_contour <- function (mapping = NULL, data = NULL, stat = "contour", position = "identity", lineend = "butt", linejoin = "round", linemitre = 1, na.rm = FALSE, ...) { GeomContour$new(mapping = mapping, data = data, stat = stat, position = position, lineend = lineend, linejoin = linejoin, linemitre = linemitre, na.rm = na.rm, ...) } GeomContour <- proto(GeomPath, { objname <- "contour" default_aes <- function(.) aes(weight=1, colour="#3366FF", size = 0.5, linetype = 1, alpha = NA) default_stat <- function(.) StatContour }) ggplot2/R/ggplot2.r0000644000175100001440000001677012114160774013626 0ustar hornikusers#' ggplot2. #' #' @name ggplot2 #' @docType package #' @import plyr digest scales grid reshape2 proto gtable NULL #' Prices of 50,000 round cut diamonds #' #' A dataset containing the prices and other attributes of almost 54,000 #' diamonds. The variables are as follows: #' #' \itemize{ #' \item price. price in US dollars (\$326--\$18,823) #' \item carat. weight of the diamond (0.2--5.01) #' \item cut. quality of the cut (Fair, Good, Very Good, Premium, Ideal) #' \item colour. diamond colour, from J (worst) to D (best) #' \item clarity. a measurement of how clear the diamond is (I1 (worst), SI1, SI2, VS1, VS2, VVS1, VVS2, IF (best)) #' \item x. length in mm (0--10.74) #' \item y. width in mm (0--58.9) #' \item z. depth in mm (0--31.8) #' \item depth. total depth percentage = z / mean(x, y) = 2 * z / (x + y) (43--79) #' \item table. width of top of diamond relative to widest point (43--95) #' } #' #' @docType data #' @keywords datasets #' @name diamonds #' @usage data(diamonds) #' @format A data frame with 53940 rows and 10 variables NULL #' US economic time series. #' #' This dataset was produced from US economic time series data available from \url{http://research.stlouisfed.org/fred2}. #' #' \itemize{ #' \item date. Month of data collection #' #' \item psavert, personal savings rate, \url{http://research.stlouisfed.org/fred2/series/PSAVERT/} #' \item pce, personal consumption expenditures, in billions of dollars, \url{http://research.stlouisfed.org/fred2/series/PCE} #' \item unemploy, number of unemployed in thousands, \url{http://research.stlouisfed.org/fred2/series/UNEMPLOY} #' \item uempmed, median duration of unemployment, in week, \url{http://research.stlouisfed.org/fred2/series/UEMPMED} #' \item pop, total population, in thousands, \url{http://research.stlouisfed.org/fred2/series/POP} #' #' } #' #' @docType data #' @keywords datasets #' @name economics #' @usage data(economics) #' @format A data frame with 478 rows and 6 variables NULL #' Midwest demographics. #' #' Demographic information of midwest counties #' #' The variables are as follows: #' #' \itemize{ #' \item PID #' \item county #' \item state #' \item area #' \item poptotal. Total population #' \item popdensity. Population density #' \item popwhite. Number of whites. #' \item popblack. Number of blacks. #' \item popamerindian. Number of American Indians. #' \item popasian. Number of Asians. #' \item popother. Number of other races. #' \item percwhite. Percent white. #' \item percblack. Percent black. #' \item percamerindan. Percent American Indian. #' \item percasian. Percent Asian. #' \item percother. Percent other races. #' \item popadults. Number of adults. #' \item perchsd. #' \item percollege. Percent college educated. #' \item percprof. Percent profession. #' \item poppovertyknown. #' \item percpovertyknown #' \item percbelowpoverty #' \item percchildbelowpovert #' \item percadultpoverty #' \item percelderlypoverty #' \item inmetro. In a metro area. #' \item category' #' } #' #' @docType data #' @keywords datasets #' @name midwest #' @usage data(midwest) #' @format A data frame with 437 rows and 28 variables NULL #' Movie information and user ratings from IMDB.com. #' #' The internet movie database, \url{http://imdb.com/}, is a website devoted #' to collecting movie data supplied by studios and fans. It claims to be the #' biggest movie database on the web and is run by amazon. More about #' information imdb.com can be found online, #' \url{http://imdb.com/help/show_leaf?about}, including information about #' the data collection process, #' \url{http://imdb.com/help/show_leaf?infosource}. #' #' Movies were selected for inclusion if they had a known length and had been rated by at least one imdb user. The data set contains the following fields: #' #' \itemize{ #' \item title. Title of the movie. #' \item year. Year of release. #' \item budget. Total budget (if known) in US dollars #' \item length. Length in minutes. #' \item rating. Average IMDB user rating. #' \item votes. Number of IMDB users who rated this movie. #' \item r1-10. Multiplying by ten gives percentile (to nearest 10\%) of users who rated this movie a 1. #' \item mpaa. MPAA rating. #' \item action, animation, comedy, drama, documentary, romance, short. Binary variables representing if movie was classified as belonging to that genre. #' } #' #' @docType data #' @keywords datasets #' @usage data(movies) #' @name movies #' @format A data frame with 28819 rows and 24 variables #' @references \url{http://had.co.nz/data/movies/} NULL #' Fuel economy data from 1999 and 2008 for 38 popular models of car #' #' This dataset contains a subset of the fuel economy data that the EPA makes #' available on \url{http://fueleconomy.gov}. It contains only models which #' had a new release every year between 1999 and 2008 - this was used as a #' proxy for the popularity of the car. #' #' \itemize{ #' \item manufacturer. #' \item model. #' \item displ. engine displacement, in litres #' \item year. #' \item cyl. number of cylinders #' \item trans. type of transmission #' \item drv. f = front-wheel drive, r = rear wheel drive, 4 = 4wd #' \item cty. city miles per gallon #' \item hwy. highway miles per gallon #' \item fl. #' \item class. #' } #' #' @docType data #' @keywords datasets #' @name mpg #' @usage data(mpg) #' @format A data frame with 234 rows and 11 variables NULL #' An updated and expanded version of the mammals sleep dataset. #' #' This is an updated and expanded version of the mammals sleep dataset. #' Updated sleep times and weights were taken from V. M. Savage and G. B. #' West. A quantitative, theoretical framework for understanding mammalian #' sleep. Proceedings of the National Academy of Sciences, 104 (3):1051-1056, #' 2007. #' #' Additional variables order, conservation status and vore were added from #' wikipedia. #' #' \itemize{ #' \item name. common name #' \item genus. #' \item vore. carnivore, omnivore or herbivore? #' \item order. #' \item conservation. the conservation status of the animal #' \item sleep\_total. total amount of sleep, in hours #' \item sleep\_rem. rem sleep, in hours #' \item sleep\_cycle. length of sleep cycle, in hours #' \item awake. amount of time spent awake, in hours #' \item brainwt. brain weight in kilograms #' \item bodywt. body weight in kilograms #' } #' #' @docType data #' @keywords datasets #' @name msleep #' @usage data(msleep) #' @format A data frame with 83 rows and 11 variables NULL #' Terms of 10 presidents from Eisenhower to Bush W. #' #' The names of each president, the start and end date of their term, and #' their party of 10 US presidents from Eisenhower to Bush W. #' #' @docType data #' @keywords datasets #' @name presidential #' @usage data(presidential) #' @format A data frame with 10 rows and 4 variables NULL #' Vector field of seal movements. #' #' This vector field was produced from the data described in Brillinger, D.R., #' Preisler, H.K., Ager, A.A. and Kie, J.G. "An exploratory data analysis #' (EDA) of the paths of moving animals". J. Statistical Planning and #' Inference 122 (2004), 43-63, using the methods of Brillinger, D.R., #' "Learning a potential function from a trajectory", Signal Processing #' Letters. December (2007). #' #' @name seals #' @usage data(seals) #' @docType data #' @keywords datasets #' @format A data frame with 1155 rows and 4 variables #' @references \url{http://www.stat.berkeley.edu/~brill/Papers/jspifinal.pdf} NULL ggplot2/R/annotation-raster.r0000644000175100001440000000511312114160774015705 0ustar hornikusers#' @include geom-.r #' @include geom-raster.r NULL #' Annotation: High-performance rectangular tiling. #' #' This is a special version of \code{\link{geom_raster}} optimised for static #' annotations that are the same in every panel. These annotations will not #' affect scales (i.e. the x and y axes will not grow to cover the range #' of the raster, and the raster must already have its own colours). #' #' Most useful for adding bitmap images. #' #' @param raster raster object to display #' @param xmin,xmax x location (in data coordinates) giving horizontal #' location of raster #' @param ymin,ymax y location (in data coordinates) giving vertical #' location of raster #' @param interpolate If \code{TRUE} interpolate linearly, if \code{FALSE} #' (the default) don't interpolate. #' @export #' @examples #' # Generate data #' rainbow <- matrix(hcl(seq(0, 360, length = 50 * 50), 80, 70), nrow = 50) #' qplot(mpg, wt, data = mtcars) + #' annotation_raster(rainbow, 15, 20, 3, 4) #' # To fill up whole plot #' qplot(mpg, wt, data = mtcars) + #' annotation_raster(rainbow, -Inf, Inf, -Inf, Inf) + #' geom_point() #' #' rainbow2 <- matrix(hcl(seq(0, 360, length = 10), 80, 70), nrow = 1) #' qplot(mpg, wt, data = mtcars) + #' annotation_raster(rainbow2, -Inf, Inf, -Inf, Inf) + #' geom_point() #' rainbow2 <- matrix(hcl(seq(0, 360, length = 10), 80, 70), nrow = 1) #' qplot(mpg, wt, data = mtcars) + #' annotation_raster(rainbow2, -Inf, Inf, -Inf, Inf, interpolate = TRUE) + #' geom_point() annotation_raster <- function (raster, xmin, xmax, ymin, ymax, interpolate = FALSE) { raster <- as.raster(raster) GeomRasterAnn$new(geom_params = list(raster = raster, xmin = xmin, xmax = xmax, ymin = ymin, ymax = ymax, interpolate = interpolate), stat = "identity", position = "identity", data = NULL, inherit.aes = TRUE) } GeomRasterAnn <- proto(GeomRaster, { objname <- "raster_ann" reparameterise <- function(., df, params) { df } draw_groups <- function(., data, scales, coordinates, raster, xmin, xmax, ymin, ymax, interpolate = FALSE, ...) { if (!inherits(coordinates, "cartesian")) { stop("annotation_raster only works with Cartesian coordinates", call. = FALSE) } corners <- data.frame(x = c(xmin, xmax), y = c(ymin, ymax)) data <- coord_transform(coordinates, corners, scales) x_rng <- range(data$x, na.rm = TRUE) y_rng <- range(data$y, na.rm = TRUE) rasterGrob(raster, x_rng[1], y_rng[1], diff(x_rng), diff(y_rng), default.units = "native", just = c("left","bottom"), interpolate = interpolate) } }) ggplot2/R/fortify-map.r0000644000175100001440000000676612114160774014511 0ustar hornikusers#' Fortify method for map objects. #' #' This function turns a map into a data frame that can more easily be #' plotted with ggplot2. #' #' @method fortify map #' @S3method fortify map #' @seealso \code{\link{map_data}} and \code{\link{borders}} #' @param model map object #' @param data not used by this method #' @param ... not used by this method #' @examples #' if (require("maps")) { #' ca <- map("county", "ca", plot = FALSE, fill = TRUE) #' head(fortify(ca)) #' qplot(long, lat, data = ca, geom = "polygon", group = group) #' #' tx <- map("county", "texas", plot = FALSE, fill = TRUE) #' head(fortify(tx)) #' qplot(long, lat, data = tx, geom = "polygon", group = group, #' colour = I("white")) #' } fortify.map <- function(model, data, ...) { df <- as.data.frame(model[c("x", "y")]) names(df) <- c("long", "lat") df$group <- cumsum(is.na(df$long) & is.na(df$lat)) + 1 df$order <- 1:nrow(df) names <- do.call("rbind", lapply(strsplit(model$names, "[:,]"), "[", 1:2)) df$region <- names[df$group, 1] df$subregion <- names[df$group, 2] df[complete.cases(df$lat, df$long), ] } #' Create a data frame of map data. #' #' @param map name of map provided by the \pkg{maps} package. These #' include \code{\link[maps]{county}}, \code{\link[maps]{france}}, #' \code{\link[maps]{italy}}, \code{\link[maps]{nz}}, #' \code{\link[maps]{state}}, \code{\link[maps]{usa}}, #' \code{\link[maps]{world}}, \code{\link[maps]{world2}}. #' @param region name of subregions to include. Defaults to \code{.} which #' includes all subregion. See documentation for \code{\link[maps]{map}} #' for more details. #' @param exact should the \code{region} be treated as a regular expression #' (\code{FALSE}) or as a fixed string (\code{TRUE}). #' @param ... all other arguments passed on to \code{\link[maps]{map}} #' @export #' @examples #' if (require("maps")) { #' states <- map_data("state") #' arrests <- USArrests #' names(arrests) <- tolower(names(arrests)) #' arrests$region <- tolower(rownames(USArrests)) #' #' choro <- merge(states, arrests, sort = FALSE, by = "region") #' choro <- choro[order(choro$order), ] #' qplot(long, lat, data = choro, group = group, fill = assault, #' geom = "polygon") #' qplot(long, lat, data = choro, group = group, fill = assault / murder, #' geom = "polygon") #' } map_data <- function(map, region = ".", exact = FALSE, ...) { try_require("maps") fortify(map(map, region, exact = exact, plot = FALSE, fill = TRUE, ...)) } #' Create a layer of map borders. #' #' @param database map data, see \code{\link[maps]{map}} for details #' @param regions map region #' @param fill fill colour #' @param colour border colour #' @param ... other arguments passed onto \code{\link{geom_polygon}} #' @export #' @examples #' if (require("maps")) { #' #' ia <- map_data("county", "iowa") #' mid_range <- function(x) mean(range(x)) #' library(plyr) #' seats <- ddply(ia, .(subregion), colwise(mid_range, .(lat, long))) #' ggplot(ia, aes(long, lat)) + #' geom_polygon(aes(group = group), fill = NA, colour = "grey60") + #' geom_text(aes(label = subregion), data = seats, size = 2, angle = 45) #' #' data(us.cities) #' capitals <- subset(us.cities, capital == 2) #' ggplot(capitals, aes(long, lat)) + #' borders("state") + #' geom_point(aes(size = pop)) + #' scale_area() #' #' } borders <- function(database = "world", regions = ".", fill = NA, colour = "grey50", ...) { df <- map_data(database, regions) geom_polygon(aes(long, lat, group = group), data = df, fill = fill, colour = colour, ...) } ggplot2/R/geom-quantile.r0000644000175100001440000000174512114160774015013 0ustar hornikusers#' Add quantile lines from a quantile regression. #' #' This can be used as a continuous analogue of a geom_boxplot. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "quantile")} #' #' @export #' @inheritParams geom_point #' @inheritParams geom_path #' @seealso See \code{\link{stat_quantile}} for examples. #' @examples #' # See stat_quantile for examples geom_quantile <- function (mapping = NULL, data = NULL, stat = "quantile", position = "identity", lineend = "butt", linejoin = "round", linemitre = 1, na.rm = FALSE, ...) { GeomQuantile$new(mapping = mapping, data = data, stat = stat, position = position, lineend = lineend, linejoin = linejoin, linemitre = linemitre, na.rm = na.rm, ...) } GeomQuantile <- proto(GeomPath, { objname <- "quantile" default_stat <- function(.) StatQuantile default_aes <- function(.) defaults(aes(weight=1, colour="#3366FF", size=0.5), GeomPath$default_aes()) guide_geom <- function(.) "path" }) ggplot2/R/stat-qq.r0000644000175100001440000000461312114160774013633 0ustar hornikusers#' Calculation for quantile-quantile plot. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "qq")} #' #' @param distribution Distribution function to use, if x not specified #' @param dparams Parameters for distribution function #' @param ... Other arguments passed to distribution function #' @param na.rm If \code{FALSE} (the default), removes missing values with #' a warning. If \code{TRUE} silently removes missing values. #' @inheritParams stat_identity #' @return a data.frame with additional columns: #' \item{sample}{sample quantiles} #' \item{theoretical}{theoretical quantiles} #' @export #' @examples #' \donttest{ #' # From ?qqplot #' y <- rt(200, df = 5) #' qplot(sample = y, stat="qq") #' #' # qplot is smart enough to use stat_qq if you use sample #' qplot(sample = y) #' qplot(sample = precip) #' #' qplot(sample = y, dist = qt, dparams = list(df = 5)) #' #' df <- data.frame(y) #' ggplot(df, aes(sample = y)) + stat_qq() #' ggplot(df, aes(sample = y)) + geom_point(stat = "qq") #' #' # Use fitdistr from MASS to estimate distribution params #' library(MASS) #' params <- as.list(fitdistr(y, "t")$estimate) #' ggplot(df, aes(sample = y)) + stat_qq(dist = qt, dparam = params) #' #' # Using to explore the distribution of a variable #' qplot(sample = mpg, data = mtcars) #' qplot(sample = mpg, data = mtcars, colour = factor(cyl)) #' } stat_qq <- function (mapping = NULL, data = NULL, geom = "point", position = "identity", distribution = qnorm, dparams = list(), na.rm = FALSE, ...) { StatQq$new(mapping = mapping, data = data, geom = geom, position = position, distribution = distribution, dparams = dparams, na.rm = na.rm, ...) } StatQq <- proto(Stat, { objname <- "qq" default_geom <- function(.) GeomPoint default_aes <- function(.) aes(y = ..sample.., x = ..theoretical..) required_aes <- c("sample") calculate <- function(., data, scales, quantiles = NULL, distribution = qnorm, dparams = list(), na.rm = FALSE) { data <- remove_missing(data, na.rm, "sample", name = "stat_qq") sample <- sort(data$sample) n <- length(sample) # Compute theoretical quantiles if (is.null(quantiles)) { quantiles <- ppoints(n) } else { stopifnot(length(quantiles) == n) } theoretical <- safe.call(distribution, c(list(p = quantiles), dparams)) data.frame(sample, theoretical) } }) ggplot2/R/guide-colorbar.r0000644000175100001440000003641112114160774015140 0ustar hornikusers#' Contiuous colour bar guide. #' #' Colour bar guide shows continuous color scales mapped onto values. #' Colour bar is available with \code{scale_fill} and \code{scale_colour}. #' For more information, see the inspiration for this function: #' \href{http://www.mathworks.com/help/techdoc/ref/colorbar.html}{Matlab's colorbar function}. #' #' Guides can be specified in each scale or in \code{\link{guides}}. #' \code{guide="legend"} in scale is syntax sugar for #' \code{guide=guide_legend()} - but the second form allows you to specify #' more options. As for how to specify the guide for each #' scales, see \code{\link{guides}}. #' #' @inheritParams guide_legend #' @param barwidth A numeric or a unit object specifying the width of the #' colorbar. Default value is \code{legend.key.width} or #' \code{legend.key.size} in \code{\link{theme}} or theme. #' @param barheight A numeric or a unit object specifying the height of the #' colorbar. Default value is \code{legend.key.height} or #' \code{legend.key.size} in \code{\link{theme}} or theme. #' @param nbin A numeric specifying the number of bins for drawing colorbar. A #' smoother colorbar for a larger value. #' @param raster A logical. If \code{TRUE} then the colorbar is rendered as a #' raster object. If \code{FALSE} then the colorbar is rendered as a set of #' rectangles. Note that not all graphics devices are capable of rendering #' raster image. #' @param ticks A logical specifying if tick marks on colorbar should be #' visible. #' @param draw.ulim A logical specifying if the upper limit tick marks should #' be visible. #' @param draw.llim A logical specifying if the lower limit tick marks should #' be visible. #' @param direction A character string indicating the direction of the guide. #' One of "horizontal" or "vertical." #' @param default.unit A character string indicating unit for \code{barwidth} # and \code{barheight}. #' @param reverse logical. If \code{TRUE} the colorbar is reversed. By default, #' the highest value is on the top and the lowest value is on the bottom #' @param ... ignored. #' @return A guide object #' @export #' @family guides #' @examples #' library(reshape2) # for melt #' df <- melt(outer(1:4, 1:4), varnames = c("X1", "X2")) #' #' p1 <- ggplot(df, aes(X1, X2)) + geom_tile(aes(fill = value)) #' p2 <- p1 + geom_point(aes(size = value)) #' #' # Basic form #' p1 + scale_fill_continuous(guide = "colorbar") #' p1 + scale_fill_continuous(guide = guide_colorbar()) #' p1 + guides(fill = guide_colorbar()) #' #' # Control styles #' #' # bar size #' p1 + guides(fill = guide_colorbar(barwidth = 0.5, barheight = 10)) #' #' # no label #' p1 + guides(fill = guide_colorbar(label = FALSE)) #' #' # no tick marks #' p1 + guides(fill = guide_colorbar(ticks = FALSE)) #' #' # label position #' p1 + guides(fill = guide_colorbar(label.position = "left")) #' #' # label theme #' p1 + guides(fill = guide_colorbar(label.theme = element_text(colour = "blue", angle = 0))) #' #' # small number of bins #' p1 + guides(fill = guide_colorbar(nbin = 3)) #' #' # large number of bins #' p1 + guides(fill = guide_colorbar(nbin = 100)) #' #' # make top- and bottom-most ticks invisible #' p1 + scale_fill_continuous(limits = c(0,20), breaks=c(0, 5, 10, 15, 20), #' guide = guide_colorbar(nbin=100, draw.ulim = FALSE, draw.llim = FALSE)) #' #' # guides can be controlled independently #' p2 + #' scale_fill_continuous(guide = "colorbar") + #' scale_size(guide = "legend") #' p2 + guides(fill = "colorbar", size = "legend") #' #' p2 + #' scale_fill_continuous(guide = guide_colorbar(direction = "horizontal")) + #' scale_size(guide = guide_legend(direction = "vertical")) guide_colourbar <- function( #　title title = waiver(), title.position = NULL, title.theme = NULL, title.hjust = NULL, title.vjust = NULL, # label label = TRUE, label.position = NULL, label.theme = NULL, label.hjust = NULL, label.vjust = NULL, # bar barwidth = NULL, barheight = NULL, nbin = 20, raster = TRUE, # ticks ticks = TRUE, draw.ulim= TRUE, draw.llim = TRUE, # general direction = NULL, default.unit = "line", reverse = FALSE, order = 0, ...) { if (!is.null(barwidth) && !is.unit(barwidth)) barwidth <- unit(barwidth, default.unit) if (!is.null(barheight) && !is.unit(barheight)) barheight <- unit(barheight, default.unit) structure(list( #　title title = title, title.position = title.position, title.theme = title.theme, title.hjust = title.hjust, title.vjust = title.vjust, # label label = label, label.position = label.position, label.theme = label.theme, label.hjust = label.hjust, label.vjust = label.vjust, # bar barwidth = barwidth, barheight = barheight, nbin = nbin, raster = raster, # ticks ticks = ticks, draw.ulim = draw.ulim, draw.llim = draw.llim, # general direction = direction, default.unit = default.unit, reverse = reverse, order = order, # parameter available_aes = c("colour", "color", "fill"), ..., name="colorbar"), class=c("guide", "colorbar")) } guide_train.colorbar <- function(guide, scale) { # do nothing if scale are inappropriate if (length(intersect(scale$aesthetics, c("color", "colour", "fill"))) == 0) { warning("colorbar guide needs colour or fill scales.") return(NULL) } if (!inherits(scale, "continuous")) { warning("colorbar guide needs continuous scales.") return(NULL) } # ticks - label (i.e. breaks) output <- scale$aesthetics[1] breaks <- scale_breaks(scale) guide$key <- data.frame(scale_map(scale, breaks), I(scale_labels(scale, breaks)), breaks, stringsAsFactors = FALSE) # .value = breaks (numeric) is used for determining the position of ticks in gengrob names(guide$key) <- c(output, ".label", ".value") # bar specification (number of divs etc) .bar <- discard(pretty(scale_limits(scale), n = guide$nbin), scale_limits(scale)) guide$bar <- data.frame(colour=scale_map(scale, .bar), value=.bar, stringsAsFactors = FALSE) if (guide$reverse) { guide$key <- guide$key[nrow(guide$key):1, ] guide$bar <- guide$bar[nrow(guide$bar):1, ] } guide$hash <- with(guide, digest(list(title, key$.label, bar, name))) guide } # simply discards the new guide guide_merge.colorbar <- function(guide, new_guide) { guide } # this guide is not geom-based. guide_geom.colorbar <- function(guide, ...) { guide } guide_gengrob.colorbar <- function(guide, theme) { # settings of location and size switch(guide$direction, "horizontal" = { label.position <- guide$label.position %||% "bottom" if (!label.position %in% c("top", "bottom")) stop("label position \"", label.position, "\" is invalid") barwidth <- convertWidth(guide$barwidth %||% (theme$legend.key.width * 5), "mm") barheight <- convertHeight(guide$barheight %||% theme$legend.key.height, "mm") }, "vertical" = { label.position <- guide$label.position %||% "right" if (!label.position %in% c("left", "right")) stop("label position \"", label.position, "\" is invalid") barwidth <- convertWidth(guide$barwidth %||% theme$legend.key.width, "mm") barheight <- convertHeight(guide$barheight %||% (theme$legend.key.height * 5), "mm") }) barwidth.c <- c(barwidth) barheight.c <- c(barheight) barlength.c <- switch(guide$direction, "horizontal" = barwidth.c, "vertical" = barheight.c) nbreak <- nrow(guide$key) # gap between keys etc hgap <- c(convertWidth(unit(0.3, "lines"), "mm")) vgap <- hgap grob.bar <- if (guide$raster) { image <- switch(guide$direction, horizontal = t(guide$bar$colour), vertical = rev(guide$bar$colour)) rasterGrob(image = image, width=barwidth.c, height=barheight.c, default.units = "mm", gp=gpar(col=NA), interpolate = TRUE) } else { switch(guide$direction, horizontal = { bw <- barwidth.c / nrow(guide$bar) bx <- (seq(nrow(guide$bar)) - 1) * bw rectGrob(x = bx, y = 0, vjust = 0, hjust = 0, width = bw, height = barheight.c, default.units = "mm", gp = gpar(col = NA, fill = guide$bar$colour)) }, vertical = { bh <- barheight.c / nrow(guide$bar) by <- (seq(nrow(guide$bar)) - 1) * bh rectGrob(x = 0, y = by, vjust = 0, hjust = 0, width = barwidth.c, height = bh, default.units = "mm", gp = gpar(col = NA, fill = guide$bar$colour)) }) } # tick and label position tic_pos.c <- rescale(guide$key$.value, c(0.5, guide$nbin-0.5), guide$bar$value[c(1, nrow(guide$bar))]) * barlength.c / guide$nbin label_pos <- unit(tic_pos.c, "mm") if (!guide$draw.ulim) tic_pos.c <- tic_pos.c[-1] if (!guide$draw.llim) tic_pos.c <- tic_pos.c[-length(tic_pos.c)] # title # hjust of title should depend on title.position title.theme <- guide$title.theme %||% calc_element("legend.title", theme) title.hjust <- title.x <- guide$title.hjust %||% theme$legend.title.align %||% 0 title.vjust <- title.y <- guide$title.vjust %||% 0.5 grob.title <- { if (is.null(guide$title)) zeroGrob() else { g <- element_grob(title.theme, label=guide$title, hjust = title.hjust, vjust = title.vjust, x = title.x, y = title.y) ggname("guide.title", g) } } title_width <- convertWidth(grobWidth(grob.title), "mm") title_width.c <- c(title_width) title_height <- convertHeight(grobHeight(grob.title), "mm") title_height.c <- c(title_height) # label label.theme <- guide$label.theme %||% calc_element("legend.text", theme) grob.label <- { if (!guide$label) zeroGrob() else { hjust <- x <- guide$label.hjust %||% theme$legend.text.align %||% if (any(is.expression(guide$key$.label))) 1 else switch(guide$direction, horizontal = 0.5, vertical = 0) vjust <- y <- guide$label.vjust %||% 0.5 switch(guide$direction, horizontal = {x <- label_pos; y <- vjust}, "vertical" = {x <- hjust; y <- label_pos}) label <- guide$key$.label # If any of the labels are quoted language objects, convert them # to expressions. Labels from formatter functions can return these if (any(vapply(label, is.call, logical(1)))) { label <- lapply(label, function(l) { if (is.call(l)) substitute(expression(x), list(x = l)) else l }) label <- do.call(c, label) } g <- element_grob(element = label.theme, label = label, x = x, y = y, hjust = hjust, vjust = vjust) ggname("guide.label", g) } } label_width <- convertWidth(grobWidth(grob.label), "mm") label_width.c <- c(label_width) label_height <- convertHeight(grobHeight(grob.label), "mm") label_height.c <- c(label_height) # ticks grob.ticks <- if (!guide$ticks) zeroGrob() else { switch(guide$direction, "horizontal" = { x0 = rep(tic_pos.c, 2) y0 = c(rep(0, nbreak), rep(barheight.c * (4/5), nbreak)) x1 = rep(tic_pos.c, 2) y1 = c(rep(barheight.c * (1/5), nbreak), rep(barheight.c, nbreak)) }, "vertical" = { x0 = c(rep(0, nbreak), rep(barwidth.c * (4/5), nbreak)) y0 = rep(tic_pos.c, 2) x1 = c(rep(barwidth.c * (1/5), nbreak), rep(barwidth.c, nbreak)) y1 = rep(tic_pos.c, 2) }) segmentsGrob(x0 = x0, y0 = y0, x1 = x1, y1 = y1, default.units = "mm", gp = gpar(col="white", lwd=0.5, lineend="butt")) } # layout of bar and label switch(guide$direction, "horizontal" = { switch(label.position, "top" = { bl_widths <- barwidth.c bl_heights <- c(label_height.c, vgap, barheight.c) vps <- list(bar.row = 3, bar.col = 1, label.row = 1, label.col = 1) }, "bottom" = { bl_widths <- barwidth.c bl_heights <- c(barheight.c, vgap, label_height.c) vps <- list(bar.row = 1, bar.col = 1, label.row = 3, label.col = 1) }) }, "vertical" = { switch(label.position, "left" = { bl_widths <- c(label_width.c, vgap, barwidth.c) bl_heights <- barheight.c vps <- list(bar.row = 1, bar.col = 3, label.row = 1, label.col = 1) }, "right" = { bl_widths <- c(barwidth.c, vgap, label_width.c) bl_heights <- barheight.c vps <- list(bar.row = 1, bar.col = 1, label.row = 1, label.col = 3) }) }) # layout of title and bar+label switch(guide$title.position, "top" = { widths <- c(bl_widths, max(0, title_width.c-sum(bl_widths))) heights <- c(title_height.c, vgap, bl_heights) vps <- with(vps, list(bar.row = bar.row+2, bar.col = bar.col, label.row = label.row+2, label.col = label.col, title.row = 1, title.col = 1:length(widths))) }, "bottom" = { widths <- c(bl_widths, max(0, title_width.c-sum(bl_widths))) heights <- c(bl_heights, vgap, title_height.c) vps <- with(vps, list(bar.row = bar.row, bar.col = bar.col, label.row = label.row, label.col = label.col, title.row = length(heights), title.col = 1:length(widths))) }, "left" = { widths <- c(title_width.c, hgap, bl_widths) heights <- c(bl_heights, max(0, title_height.c-sum(bl_heights))) vps <- with(vps, list(bar.row = bar.row, bar.col = bar.col+2, label.row = label.row, label.col = label.col+2, title.row = 1:length(heights), title.col = 1)) }, "right" = { widths <- c(bl_widths, hgap, title_width.c) heights <- c(bl_heights, max(0, title_height.c-sum(bl_heights))) vps <- with(vps, list(bar.row = bar.row, bar.col = bar.col, label.row = label.row, label.col = label.col, title.row = 1:length(heights), title.col = length(widths))) }) # background grob.background <- element_render(theme, "legend.background") # padding padding <- unit(1.5, "mm") widths <- c(padding, widths, padding) heights <- c(padding, heights, padding) gt <- gtable(widths = unit(widths, "mm"), heights = unit(heights, "mm")) gt <- gtable_add_grob(gt, grob.background, name = "background", clip = "off", t = 1, r = -1, b = -1, l = 1) gt <- gtable_add_grob(gt, grob.bar, name = "bar", clip = "off", t = 1 + min(vps$bar.row), r = 1 + max(vps$bar.col), b = 1 + max(vps$bar.row), l = 1 + min(vps$bar.col)) gt <- gtable_add_grob(gt, grob.label, name = "label", clip = "off", t = 1 + min(vps$label.row), r = 1 + max(vps$label.col), b = 1 + max(vps$label.row), l = 1 + min(vps$label.col)) gt <- gtable_add_grob(gt, grob.title, name = "title", clip = "off", t = 1 + min(vps$title.row), r = 1 + max(vps$title.col), b = 1 + max(vps$title.row), l = 1 + min(vps$title.col)) gt <- gtable_add_grob(gt, grob.ticks, name = "ticks", clip = "off", t = 1 + min(vps$bar.row), r = 1 + max(vps$bar.col), b = 1 + max(vps$bar.row), l = 1 + min(vps$bar.col)) gt } #' @export #' @rdname guide_colourbar guide_colorbar <- guide_colourbar ggplot2/R/guide-legend.r0000644000175100001440000004702212114160774014573 0ustar hornikusers#' Legend guide. #' #' Legend type guide shows key (i.e., geoms) mapped onto values. #' Legend guides for various scales are integrated if possible. #' #' Guides can be specified in each scale or in \code{\link{guides}}. #' \code{guide="legend"} in scale is syntactic sugar for #' \code{guide=guide_legend()}. As for how to specify the guide for each #' scales in more detail, see \code{\link{guides}}. #' #' @param title A character string or expression indicating a title of guide. #' If \code{NULL}, the title is not shown. By default #' (\code{\link{waiver}}), the name of the scale object or tha name #' specified in \code{\link{labs}} is used for the title. #' @param title.position A character string indicating the position of a #' title. One of "top" (default for a vertical guide), "bottom", "left" #' (default for a horizontal guide), or "right." #' @param title.theme A theme object for rendering the title text. Usually the #' object of \code{\link{element_text}} is expected. By default, the theme is #' specified by \code{legend.title} in \code{\link{theme}} or theme. #' @param title.hjust A number specifying horizontal justification of the #' title text. #' @param title.vjust A number specifying vertical justification of the title #' text. #' @param label logical. If \code{TRUE} then the labels are drawn. If #' \code{FALSE} then the labels are invisible. #' @param label.position A character string indicating the position of a #' label. One of "top", "bottom" (default for horizontal guide), "left", or #' "right" (default for vertical gudie). #' @param label.theme A theme object for rendering the label text. Usually the #' object of \code{\link{element_text}} is expected. By default, the theme is #' specified by \code{legend.text} in \code{\link{theme}} or theme. #' @param label.hjust A numeric specifying horizontal justification of the #' label text. #' @param label.vjust A numeric specifying vertical justification of the label #' text. #' @param keywidth A numeric or a unit object specifying the width of the #' legend key. Default value is \code{legend.key.width} or #' \code{legend.key.size} in \code{\link{theme}} or theme. #' @param keyheight A numeric or a unit object specifying the height of the #' legend key. Default value is \code{legend.key.height} or #' \code{legend.key.size} in \code{\link{theme}} or theme. #' @param direction A character string indicating the direction of the guide. #' One of "horizontal" or "vertical." #' @param default.unit A character string indicating unit for \code{keywidth} #' and \code{keyheight}. #' @param override.aes A list specifying aesthetic parameters of legend key. #' See details and examples. #' @param nrow The desired number of rows of legends. #' @param ncol The desired number of column of legends. #' @param byrow logical. If \code{FALSE} (the default) the legend-matrix is #' filled by columns, otherwise the legend-matrix is filled by rows. #' @param reverse logical. If \code{TRUE} the order of legends is reversed. #' @param order positive integer less that 99 that specify the order of #' this guide in the multiple guides. If 0 (default), the order is determined #' by a secret algorithm. #' @param ... ignored. #' @return A guide object #' @export #' @family guides #' @examples #' \donttest{ #' library(reshape2) # for melt #' df <- melt(outer(1:4, 1:4), varnames = c("X1", "X2")) #' #' p1 <- ggplot(df, aes(X1, X2)) + geom_tile(aes(fill = value)) #' p2 <- p1 + geom_point(aes(size = value)) #' #' # Basic form #' p1 + scale_fill_continuous(guide = "legend") #' p1 + scale_fill_continuous(guide = guide_legend()) #' #' # Guide title #' #' p1 + scale_fill_continuous(guide = guide_legend(title = "V")) # title text #' p1 + scale_fill_continuous(name = "V") # same #' p1 + scale_fill_continuous(guide = guide_legend(title = NULL)) # no title #' #' # Control styles #' #' # key size #' p1 + guides(fill = guide_legend(keywidth = 3, keyheight = 1)) #' #' # title position #' p1 + guides(fill = guide_legend(title = "LEFT", title.position = "left")) #' #' # title text styles via element_text #' p1 + guides(fill = guide_legend( #' title.theme = element_text(size=15, face="italic", colour = "red", angle = 45))) #' #' # label position #' p1 + guides(fill = guide_legend(label.position = "bottom")) #' #' # label styles #' p1 + scale_fill_continuous(breaks = c(5, 10, 15), #' labels = paste("long", c(5, 10, 15)), #' guide = guide_legend(direction = "horizontal", title.position = "top", #' label.position="bottom", label.hjust = 0.5, label.vjust = 0.5, #' label.theme = element_text(angle = 90))) #' #' # Set aesthetic of legend key #' #' # very low alpha value make it difficult to see legend key #' p3 <- qplot(carat, price, data = diamonds, colour = color, #' alpha = I(1/100)) #' p3 #' #' # override.aes overwrites the alpha #' p3 + guides(colour = guide_legend(override.aes = list(alpha = 1))) #' #' # multiple row/col legends #' p <- qplot(1:20, 1:20, colour = letters[1:20]) #' p + guides(col = guide_legend(nrow = 8)) #' p + guides(col = guide_legend(ncol = 8)) #' p + guides(col = guide_legend(nrow = 8, byrow = TRUE)) #' p + guides(col = guide_legend(ncol = 8, byrow = TRUE)) #' #' # reversed order legend #' p + guides(col = guide_legend(reverse = TRUE)) #' } guide_legend <- function( #　title title = waiver(), title.position = NULL, title.theme = NULL, title.hjust = NULL, title.vjust = NULL, # label label = TRUE, label.position = NULL, label.theme = NULL, label.hjust = NULL, label.vjust = NULL, # key keywidth = NULL, keyheight = NULL, # general direction = NULL, default.unit = "line", override.aes = list(), nrow = NULL, ncol = NULL, byrow = FALSE, reverse = FALSE, order = 0, ...) { if (!is.null(keywidth) && !is.unit(keywidth)) keywidth <- unit(keywidth, default.unit) if (!is.null(keyheight) && !is.unit(keyheight)) keyheight <- unit(keyheight, default.unit) structure(list( #　title title = title, title.position = title.position, title.theme = title.theme, title.hjust = title.hjust, title.vjust = title.vjust, # label label = label, label.position = label.position, label.theme = label.theme, label.hjust = label.hjust, label.vjust = label.vjust, # size of key keywidth = keywidth, keyheight = keyheight, # general direction = direction, default.unit = default.unit, override.aes = override.aes, nrow = nrow, ncol = ncol, byrow = byrow, reverse = reverse, order = order, # parameter available_aes = c("any"), ..., name="legend"), class=c("guide", "legend")) } guide_train.legend <- function(guide, scale) { breaks <- scale_breaks(scale) key <- data.frame( values = scale_map(scale, breaks), labels = I(scale_labels(scale)), stringsAsFactors = FALSE) # this is a quick fix for #118 # some scales have NA as na.value (e.g., size) # some scales have non NA as na.value (e.g., "grey50" for colour) # drop rows if data (instead of the mapped value) is NA # # Also, drop out-of-range values for continuous scale # (should use scale$oob?) if (inherits(scale, "continuous")) { limits <- scale_limits(scale) noob <- !is.na(breaks) & limits[1] <= breaks & breaks <= limits[2] key <- key[noob, , drop = FALSE] } else { key <- key[!is.na(breaks), , drop = FALSE] } if (empty(key) || all(is.na(breaks))) return(NULL) names(key) <- c(scale$aesthetics[1], ".label") if (guide$reverse) key <- key[nrow(key):1, ] guide$key <- key guide$hash <- with(guide, digest(list(title, key$.label, direction, name))) guide } guide_merge.legend <- function(guide, new_guide) { guide$key <- merge(guide$key, new_guide$key, sort=FALSE) guide$override.aes <- c(guide$override.aes, new_guide$override.aes) if (any(duplicated(names(guide$override.aes)))) warning("Duplicated override.aes is ignored.") guide$override.aes <- guide$override.aes[!duplicated(names(guide$override.aes))] guide } guide_geom.legend <- function(guide, layers, default_mapping) { # TODO: how to deal with same geoms of multiple layers. # # currently all geoms are overlayed irrespective to that they are duplicated or not. # but probably it is better to sensitive to that and generate only one geom like this: # # geoms <- unique(sapply(layers, function(layer) if (is.na(layer$legend) || layer$legend) layer$geom$guide_geom() else NULL)) # # but in this case, some conflicts occurs, e.g., # # d <- data.frame(x=1:5, y=1:5, v=factor(1:5)) # ggplot(d, aes(x, y, colour=v, group=1)) + geom_point() + geom_line(colour="red", legend=T) + geom_rug(colour="blue", legend=T) # # geom_line generate path geom with red and geom_rug generate it with blue. # how to deal with them ? # arrange common data for vertical and horizontal guide guide$geoms <- llply(layers, function(layer) { all <- names(c(layer$mapping, default_mapping, layer$stat$default_aes())) geom <- c(layer$geom$required_aes, names(layer$geom$default_aes())) matched <- intersect(intersect(all, geom), names(guide$key)) matched <- setdiff(matched, names(layer$geom_params)) data <- if (length(matched) > 0) { # This layer contributes to the legend if (is.na(layer$show_guide) || layer$show_guide) { # Default is to include it layer$use_defaults(guide$key[matched]) } else { NULL } } else { # This layer does not contribute to the legend if (is.na(layer$show_guide) || !layer$show_guide) { # Default is to exclude it NULL } else { layer$use_defaults(NULL)[rep(1, nrow(guide$key)), ] } } if (is.null(data)) return(NULL) # override.aes in guide_legend manually changes the geom for (aes in intersect(names(guide$override.aes), names(data))) data[[aes]] <- guide$override.aes[[aes]] geom <- Geom$find(layer$geom$guide_geom()) params <- c(layer$geom_params, layer$stat_params) list(geom = geom, data = data, params = params) } ) # remove null geom guide$geoms <- compact(guide$geoms) # Finally, remove this guide if no layer is drawn if (length(guide$geoms) == 0) guide <- NULL guide } guide_gengrob.legend <- function(guide, theme) { # default setting label.position <- guide$label.position %||% "right" if (!label.position %in% c("top", "bottom", "left", "right")) stop("label position \"", label.position, "\" is invalid") nbreak <- nrow(guide$key) # gap between keys etc hgap <- c(convertWidth(unit(0.3, "lines"), "mm")) vgap <- hgap # title title.theme <- guide$title.theme %||% calc_element("legend.title", theme) title.hjust <- title.x <- guide$title.hjust %||% theme$legend.title.align %||% 0 title.vjust <- title.y <- guide$title.vjust %||% 0.5 grob.title <- { if (is.null(guide$title)) zeroGrob() else { g <- element_grob(title.theme, label=guide$title, hjust = title.hjust, vjust = title.vjust, x = title.x, y = title.y) ggname("guide.title", g) } } title_width <- convertWidth(grobWidth(grob.title), "mm") title_width.c <- c(title_width) title_height <- convertHeight(grobHeight(grob.title), "mm") title_height.c <- c(title_height) # Label # Rules of lable adjustment # # label.theme in param of guide_legend() > theme$legend.text.align > default # hjust/vjust in theme$legend.text and label.theme are ignored. # # Default: # If label includes expression, the label is right-alignd (hjust = 0). Ohterwise, left-aligned (x = 1, hjust = 1). # Vertical adjustment is always mid-alined (vjust = 0.5). label.theme <- guide$label.theme %||% calc_element("legend.text", theme) grob.labels <- { if (!guide$label) zeroGrob() else { hjust <- x <- guide$label.hjust %||% theme$legend.text.align %||% if (any(is.expression(guide$key$.label))) 1 else 0 vjust <- y <- guide$label.vjust %||% 0.5 lapply(guide$key$.label, function(label, ...) { g <- element_grob(element = label.theme, label = label, x = x, y = y, hjust = hjust, vjust = vjust) ggname("guide.label", g) } ) } } label_widths <- lapply(grob.labels, function(g)convertWidth(grobWidth(g), "mm")) label_heights <- lapply(grob.labels, function(g)convertHeight(grobHeight(g), "mm")) label_widths.c <- unlist(label_widths) label_heights.c <- unlist(label_heights) # key size key_width <- convertWidth(guide$keywidth %||% theme$legend.key.width %||% theme$legend.key.size, "mm") key_height <- convertHeight(guide$keyheight %||% theme$legend.key.height %||% theme$legend.key.size, "mm") key_width.c <- c(key_width) key_height.c <- c(key_height) key_size_mat <- do.call("cbind", llply(guide$geoms, function(g) g$data$size)) key_sizes <- if (is.null(key_size_mat)) rep(0, nbreak) else apply(key_size_mat, 1, max) if (!is.null(guide$nrow) && !is.null(guide$ncol) && guide$nrow * guide$ncol < nbreak) stop("nrow x ncol need to be larger than the number of breaks") legend.nrow <- guide$nrow %||% if (!is.null(guide$ncol)) ceiling(nbreak/guide$ncol) else switch(guide$direction, horizontal = 1, vertical = nbreak) legend.ncol <- guide$ncol %||% if (!is.null(guide$nrow)) ceiling(nbreak/guide$nrow) else switch(guide$direction, horizontal = nbreak, vertical = 1) key_sizes <- matrix(c(key_sizes, rep(0, legend.nrow * legend.ncol - nbreak)), legend.nrow, legend.ncol, byrow = guide$byrow) key_widths.c <- pmax(key_width.c, apply(key_sizes, 2, max)) key_heights.c <-pmax(key_height.c, apply(key_sizes, 1, max)) label_widths.c <- apply(matrix(c(label_widths.c, rep(0, legend.nrow * legend.ncol - nbreak)), legend.nrow, legend.ncol, byrow = guide$byrow), 2, max) label_heights.c <- apply(matrix(c(label_heights.c, rep(0, legend.nrow * legend.ncol - nbreak)), legend.nrow, legend.ncol, byrow = guide$byrow), 1, max) if (guide$byrow) vps <- data.frame(ceiling(seq(nbreak)/legend.ncol), (seq(nbreak)-1)%%legend.ncol+1) else vps <- data.frame(arrayInd(seq(nbreak), dim(key_sizes))) names(vps) <- c("R", "C") # layout of key-label depends on the direction of the guide if (guide$byrow == TRUE) { switch(label.position, "top" = { kl_widths <- pmax(label_widths.c, key_widths.c) kl_heights <- head(interleave(label_heights.c, vgap/2, key_heights.c, vgap/2), -1) vps <- transform(vps, key.row = R*4-1, key.col = C, label.row = R*4-3, label.col = C) }, "bottom" = { kl_widths <- pmax(label_widths.c, key_widths.c) kl_heights <- head(interleave(key_heights.c, vgap/2, label_heights.c, vgap/2), -1) vps <- transform(vps, key.row = R*4-3, key.col = C, label.row = R*4-1, label.col = C) }, "left" = { kl_widths <- head(interleave(label_widths.c, hgap/2, key_widths.c, hgap/2), -1) kl_heights <- head(interleave(pmax(label_heights.c, key_heights.c), vgap/2), -1) vps <- transform(vps, key.row = R*2-1, key.col = C*4-1, label.row = R*2-1, label.col = C*4-3) }, "right" = { kl_widths <- head(interleave(key_widths.c, hgap/2, label_widths.c, hgap/2), -1) kl_heights <- head(interleave(pmax(label_heights.c, key_heights.c), vgap/2), -1) vps <- transform(vps, key.row = R*2-1, key.col = C*4-3, label.row = R*2-1, label.col = C*4-1) }) } else { switch(label.position, "top" = { kl_widths <- head(interleave(pmax(label_widths.c, key_widths.c), hgap/2), -1) kl_heights <- head(interleave(label_heights.c, vgap/2, key_heights.c, vgap/2), -1) vps <- transform(vps, key.row = R*4-1, key.col = C*2-1, label.row = R*4-3, label.col = C*2-1) }, "bottom" = { kl_widths <- head(interleave(pmax(label_widths.c, key_widths.c), hgap/2), -1) kl_heights <- head(interleave(key_heights.c, vgap/2, label_heights.c, vgap/2), -1) vps <- transform(vps, key.row = R*4-3, key.col = C*2-1, label.row = R*4-1, label.col = C*2-1) }, "left" = { kl_widths <- head(interleave(label_widths.c, hgap/2, key_widths.c, hgap/2), -1) kl_heights <- pmax(key_heights.c, label_heights.c) vps <- transform(vps, key.row = R, key.col = C*4-1, label.row = R, label.col = C*4-3) }, "right" = { kl_widths <- head(interleave(key_widths.c, hgap/2, label_widths.c, hgap/2), -1) kl_heights <- pmax(key_heights.c, label_heights.c) vps <- transform(vps, key.row = R, key.col = C*4-3, label.row = R, label.col = C*4-1) }) } # layout the title over key-label switch(guide$title.position, "top" = { widths <- c(kl_widths, max(0, title_width.c-sum(kl_widths))) heights <- c(title_height.c, vgap, kl_heights) vps <- transform(vps, key.row = key.row+2, key.col = key.col, label.row = label.row+2, label.col = label.col) vps.title.row = 1; vps.title.col = 1:length(widths) }, "bottom" = { widths <- c(kl_widths, max(0, title_width.c-sum(kl_widths))) heights <- c(kl_heights, vgap, title_height.c) vps <- transform(vps, key.row = key.row, key.col = key.col, label.row = label.row, label.col = label.col) vps.title.row = length(heights); vps.title.col = 1:length(widths) }, "left" = { widths <- c(title_width.c, hgap, kl_widths) heights <- c(kl_heights, max(0, title_height.c-sum(kl_heights))) vps <- transform(vps, key.row = key.row, key.col = key.col+2, label.row = label.row, label.col = label.col+2) vps.title.row = 1:length(heights); vps.title.col = 1 }, "right" = { widths <- c(kl_widths, hgap, title_width.c) heights <- c(kl_heights, max(0, title_height.c-sum(kl_heights))) vps <- transform(vps, key.row = key.row, key.col = key.col, label.row = label.row, label.col = label.col) vps.title.row = 1:length(heights); vps.title.col = length(widths) }) # grob for key grob.keys <- list() for (i in 1:nbreak) { # layout position pos.row <- vps$key.row[i] pos.col <- vps$key.col[i] # bg. of key grob.keys[[length(grob.keys)+1]] <- element_render(theme, "legend.key") # overlay geoms for(geom in guide$geoms) grob.keys[[length(grob.keys)+1]] <- geom$geom$draw_legend(geom$data[i, ], geom$params) } # background grob.background <- element_render(theme, "legend.background") ngeom <- length(guide$geoms) + 1 kcols <- rep(vps$key.col, each = ngeom) krows <- rep(vps$key.row, each = ngeom) # padding padding <- unit(1.5, "mm") widths <- c(padding, widths, padding) heights <- c(padding, heights, padding) # Create the gtable for the legend gt <- gtable(widths = unit(widths, "mm"), heights = unit(heights, "mm")) gt <- gtable_add_grob(gt, grob.background, name = "background", clip = "off", t = 1, r = -1, b = -1, l = 1) gt <- gtable_add_grob(gt, grob.title, name = "title", clip = "off", t = 1 + min(vps.title.row), r = 1 + max(vps.title.col), b = 1 + max(vps.title.row), l = 1 + min(vps.title.col)) gt <- gtable_add_grob(gt, grob.keys, name = paste("key", krows, kcols, c("bg", seq(ngeom-1)), sep = "-"), clip = "off", t = 1 + krows, r = 1 + kcols, b = 1 + krows, l = 1 + kcols) gt <- gtable_add_grob(gt, grob.labels, name = paste("label", vps$label.row, vps$label.col, sep = "-"), clip = "off", t = 1 + vps$label.row, r = 1 + vps$label.col, b = 1 + vps$label.row, l = 1 + vps$label.col) gt } ggplot2/R/summary.r0000644000175100001440000000247012114160774013735 0ustar hornikusers#' Displays a useful description of a ggplot object #' #' @param object ggplot2 object to summarise #' @param ... other arguments ignored (for compatibility with generic) #' @keywords internal #' @method summary ggplot #' @export #' @examples #' summary(qplot(mpg, wt, data=mtcars)) summary.ggplot <- function(object, ...) { wrap <- function(x) paste( paste(strwrap(x, exdent = 2), collapse = "\n"), "\n", sep ="" ) defaults <- function() { paste(mapply(function(x, n) { paste(n, deparse(x), sep="=") }, object$mapping, names(object$mapping)), collapse=", ") } # cat("Title: ", object$title, "\n", sep="") # cat("-----------------------------------\n") if (!is.null(object$data)) { output <- paste( "data: ", paste(names(object$data), collapse=", "), " [", nrow(object$data), "x", ncol(object$data), "] ", "\n", sep="") cat(wrap(output)) } if (length(object$mapping) > 0) { cat("mapping: ", clist(object$mapping), "\n", sep="") } if (object$scales$n() > 0) { cat("scales: ", paste(object$scales$input(), collapse = ", "), "\n") } cat("faceting: ") print(object$facet) if (length(object$layers) > 0) cat("-----------------------------------\n") invisible(lapply(object$layers, function(x) {print(x); cat("\n")})) } ggplot2/R/coord-.r0000644000175100001440000000730512114160774013425 0ustar hornikusers#' New coordinate system. #' #' Internal use only. #' #' @param ... object fields #' @keywords internal #' @export coord <- function(..., subclass = c()) { structure(list(...), class = c(subclass, "coord")) } #' Is this object a coordinate system? #' #' @export is.coord #' @keywords internal is.coord <- function(x) inherits(x, "coord") distance <- function(., x, y, details) { max_dist <- dist_euclidean(details$x.range, details$y.range) dist_euclidean(x, y) / max_dist } coord_aspect <- function(coord, ranges) UseMethod("coord_aspect") #' @S3method coord_aspect default coord_aspect.default <- function(coord, ranges) NULL coord_labels <- function(coord, scales) UseMethod("coord_labels") #' @S3method coord_labels default coord_labels.default <- function(coord, scales) scales coord_render_fg <- function(coord, scales, theme) UseMethod("coord_render_fg") #' @S3method coord_render_fg default coord_render_fg.default <- function(coord, scales, theme) element_render(theme, "panel.border") coord_render_bg <- function(coord, scales, theme) UseMethod("coord_render_bg") #' @S3method coord_render_bg default coord_render_bg.default <- function(coord, details, theme) { x.major <- if(length(details$x.major) > 0) unit(details$x.major, "native") x.minor <- if(length(details$x.minor) > 0) unit(details$x.minor, "native") y.major <- if(length(details$y.major) > 0) unit(details$y.major, "native") y.minor <- if(length(details$y.minor) > 0) unit(details$y.minor, "native") guide_grid(theme, x.minor, x.major, y.minor, y.major) } coord_render_axis_h <- function(coord, scales, theme) UseMethod("coord_render_axis_h") #' @S3method coord_render_axis_h default coord_render_axis_h.default <- function(coord, details, theme) { guide_axis(details$x.major, details$x.labels, "bottom", theme) } coord_render_axis_v <- function(coord, scales, theme) UseMethod("coord_render_axis_v") #' @S3method coord_render_axis_v default coord_render_axis_v.default <- function(coord, details, theme) { guide_axis(details$y.major, details$y.labels, "left", theme) } coord_range <- function(coord, scales) UseMethod("coord_range") #' @S3method coord_range default coord_range.default <- function(coord, scales) { return(list(x = scales$x.range, y = scales$y.range)) } coord_train <- function(coord, scales) UseMethod("coord_train") coord_transform <- function(coord, data, range) UseMethod("coord_transform") coord_distance <- function(coord, x, y, details) UseMethod("coord_distance") is.linear <- function(coord) UseMethod("is.linear") #' @S3method is.linear default is.linear.default <- function(coord) FALSE #' Set the default expand values for the scale, if NA #' @keywords internal coord_expand_defaults <- function(coord, scale, aesthetic = NULL) UseMethod("coord_expand_defaults") #' @S3method coord_expand_defaults default coord_expand_defaults.default <- function(coord, scale, aesthetic = NULL) { # Expand the same regardless of whether it's x or y # @kohske TODO: # Here intentionally verbose. These constants may be held by coord as, say, # coord$default.expand <- list(discrete = ..., continuous = ...) # # @kohske # Now scale itself is not changed. # This function only returns expanded (numeric) limits discrete <- c(0, 0.6) continuous <- c(0.05, 0) expand_default(scale, discrete, continuous) } # This is a utility function used by coord_expand_defaults, to expand a single scale expand_default <- function(scale, discrete = c(0, 0), continuous = c(0, 0)) { # Default expand values for discrete and continuous scales if (is.waive(scale$expand)) { if (inherits(scale, "discrete")) discrete else if (inherits(scale, "continuous")) continuous } else { return(scale$expand) } } ggplot2/R/position-collide.r0000644000175100001440000000627112114160774015520 0ustar hornikusers# Detect and prevent collisions. # Powers dodging, stacking and filling. collide <- function(data, width = NULL, name, strategy, check.width = TRUE) { # Determine width if (!is.null(width)) { # Width set manually if (!(all(c("xmin", "xmax") %in% names(data)))) { data <- within(data, { xmin <- x - width / 2 xmax <- x + width / 2 }) } } else { if (!(all(c("xmin", "xmax") %in% names(data)))) { data$xmin <- data$x data$xmax <- data$x } # Width determined from data, must be floating point constant widths <- unique(with(data, xmax - xmin)) widths <- widths[!is.na(widths)] if (!zero_range(range(widths))) { warning(name, " requires constant width: output may be incorrect", call. = FALSE) } width <- widths[1] } # Reorder by x position, relying on stable sort to preserve existing # ordering, which may be by group or order. data <- data[order(data$xmin), ] # Check for overlap intervals <- as.numeric(t(unique(data[c("xmin", "xmax")]))) intervals <- intervals[!is.na(intervals)] if (length(unique(intervals)) > 1 & any(diff(scale(intervals)) < -1e-6)) { warning(name, " requires non-overlapping x intervals", call. = FALSE) # This is where the algorithm from [L. Wilkinson. Dot plots. # The American Statistician, 1999.] should be used } if (!is.null(data$ymax)) { ddply(data, .(xmin), strategy, width = width) } else if (!is.null(data$y)) { message("ymax not defined: adjusting position using y instead") transform( ddply(transform(data, ymax = y), .(xmin), strategy, width = width), y = ymax ) } else { stop("Neither y nor ymax defined") } } # Stack overlapping intervals. # Assumes that each set has the same horizontal position pos_stack <- function(df, width) { if (nrow(df) == 1) return(df) n <- nrow(df) + 1 y <- with(df, ifelse(is.na(y), 0, y)) if (all(is.na(df$x))) { heights <- rep(NA, n) } else { heights <- c(0, cumsum(y)) } within(df, { ymin <- heights[-n] ymax <- heights[-1] y <- ymax }) } # Stack overlapping intervals and set height to 1. # Assumes that each set has the same horizontal position. pos_fill <- function(df, width) { within(pos_stack(df, width), { ymin <- ymin / max(ymax) ymax <- ymax / max(ymax) y <- ymax }) } # Dodge overlapping interval. # Assumes that each set has the same horizontal position. pos_dodge <- function(df, width) { n <- length(unique(df$group)) if (n == 1) return(df) if (!all(c("xmin", "xmax") %in% names(df))) { df$xmin <- df$x df$xmax <- df$x } d_width <- max(df$xmax - df$xmin) diff <- width - d_width # df <- data.frame(n = c(2:5, 10, 26), div = c(4, 3, 2.666666, 2.5, 2.2, 2.1)) # qplot(n, div, data = df) # Have a new group index from 1 to number of groups. # This might be needed if the group numbers in this set don't include all of 1:n groupidx <- match(df$group, sort(unique(df$group))) # Find the center for each group, then use that to calculate xmin and xmax df$x <- df$x + width * ((groupidx - 0.5) / n - .5) df$xmin <- df$x - d_width / n / 2 df$xmax <- df$x + d_width / n / 2 df } ggplot2/R/save.r0000644000175100001440000001130512114160774013173 0ustar hornikusers#' Save a ggplot with sensible defaults #' #' ggsave is a convenient function for saving a plot. It defaults to #' saving the last plot that you displayed, and for a default size uses #' the size of the current graphics device. It also guesses the type of #' graphics device from the extension. This means the only argument you #' need to supply is the filename. #' #' \code{ggsave} currently recognises the extensions eps/ps, tex (pictex), #' pdf, jpeg, tiff, png, bmp, svg and wmf (windows only). #' #' @param filename file name/filename of plot #' @param plot plot to save, defaults to last plot displayed #' @param device device to use, automatically extract from file name extension #' @param path path to save plot to (if you just want to set path and not #' filename) #' @param scale scaling factor #' @param width width (defaults to the width of current plotting window) #' @param height height (defaults to the height of current plotting window) #' @param units units for width and height when either one is explicitly specified (in, cm, or mm) #' @param dpi dpi to use for raster graphics #' @param limitsize when \code{TRUE} (the default), \code{ggsave} will not #' save images larger than 50x50 inches, to prevent the common error of #' specifying dimensions in pixels. #' @param ... other arguments passed to graphics device #' @export #' @examples #' \donttest{ #' ratings <- qplot(rating, data=movies, geom="histogram") #' qplot(length, data=movies, geom="histogram") #' ggsave(file="length-hist.pdf") #' ggsave(file="length-hist.png") #' ggsave(ratings, file="ratings.pdf") #' ggsave(ratings, file="ratings.pdf", width=4, height=4) #' # make twice as big as on screen #' ggsave(ratings, file="ratings.pdf", scale=2) #' } ggsave <- function(filename = default_name(plot), plot = last_plot(), device = default_device(filename), path = NULL, scale = 1, width = par("din")[1], height = par("din")[2], units = c("in", "cm", "mm"), dpi = 300, limitsize = TRUE, ...) { if (!inherits(plot, "ggplot")) stop("plot should be a ggplot2 plot") eps <- ps <- function(..., width, height) grDevices::postscript(..., width=width, height=height, onefile=FALSE, horizontal = FALSE, paper = "special") tex <- function(..., width, height) grDevices::pictex(..., width=width, height=height) pdf <- function(..., version="1.4") grDevices::pdf(..., version=version) svg <- function(...) grDevices::svg(...) wmf <- function(..., width, height) grDevices::win.metafile(..., width=width, height=height) emf <- function(..., width, height) grDevices::win.metafile(..., width=width, height=height) png <- function(..., width, height) grDevices::png(..., width=width, height=height, res = dpi, units = "in") jpg <- jpeg <- function(..., width, height) grDevices::jpeg(..., width=width, height=height, res = dpi, units = "in") bmp <- function(..., width, height) grDevices::bmp(..., width=width, height=height, res = dpi, units = "in") tiff <- function(..., width, height) grDevices::tiff(..., width=width, height=height, res = dpi, units = "in") default_name <- function(plot) { paste(digest.ggplot(plot), ".pdf", sep="") } default_device <- function(filename) { pieces <- strsplit(filename, "\\.")[[1]] ext <- tolower(pieces[length(pieces)]) match.fun(ext) } units <- match.arg(units) convert_to_inches <- function(x, units) { x <- switch(units, `in` = x, cm = x / 2.54, mm = x / 2.54 /10 ) } convert_from_inches <- function(x, units) { x <- switch(units, `in` = x, cm = x * 2.54, mm = x * 2.54 * 10 ) } # dimensions need to be in inches for all graphic devices # convert width and height into inches when they are specified if (!missing(width)) { width <- convert_to_inches(width, units) } if (!missing(height)) { height <- convert_to_inches(height, units) } # if either width or height is not specified, display an information message # units are those specified by the user if (missing(width) || missing(height)) { message("Saving ", prettyNum(convert_from_inches(width * scale, units), digits=3), " x ", prettyNum(convert_from_inches(height * scale, units), digits=3), " ", units, " image") } width <- width * scale height <- height * scale if (limitsize && (width >= 50 || height >= 50)) { stop("Dimensions exceed 50 inches (height and width are specified in inches/cm/mm, not pixels).", " If you are sure you want these dimensions, use 'limitsize=FALSE'.") } if (!is.null(path)) { filename <- file.path(path, filename) } device(file=filename, width=width, height=height, ...) on.exit(capture.output(dev.off())) print(plot) invisible() } ggplot2/R/guides-axis.r0000644000175100001440000000736512114160774014472 0ustar hornikusers# Grob for axes # # @param position of ticks # @param labels at ticks # @param position of axis (top, bottom, left or right) # @param range of data values guide_axis <- function(at, labels, position="right", theme) { position <- match.arg(position, c("top", "bottom", "right", "left")) # Quick fix for conflicts #297 and #118 # Previously, at = NA if there is no breaks (breaks = NA). # Fix for oob bug changed so that at = numeric(0) if there is no breaks. # Temporally, at is set as NA if there is no breaks. # see also SHA: f332070fca77399a84ea7a116e8c63f6990abaf6, SHA: 2ae13ad0a856c24cab6a69b523da0936ef7a94d8 if (length(at) == 0) at <- NA at <- unit(at, "native") length <- theme$axis.ticks.length label_pos <- length + theme$axis.ticks.margin nticks <- length(at) zero <- unit(0, "npc") one <- unit(1, "npc") label_render <- switch(position, top = , bottom = "axis.text.x", left = , right = "axis.text.y" ) label_x <- switch(position, top = , bottom = at, right = label_pos, left = one - label_pos ) label_y <- switch(position, top = label_pos, bottom = one - label_pos, right = , left = at, ) if (is.list(labels)) { if (any(sapply(labels, is.language))) { labels <- do.call(expression, labels) } else { labels <- unlist(labels) } } labels <- switch(position, top = , bottom = element_render(theme, label_render, labels, x = label_x), right = , left = element_render(theme, label_render, labels, y = label_y)) line <- switch(position, top = element_render(theme, "axis.line.x", c(0, 1), c(0, 0), id.lengths = 2), bottom = element_render(theme, "axis.line.x", c(0, 1), c(1, 1), id.lengths = 2), right = element_render(theme, "axis.line.y", c(0, 0), c(0, 1), id.lengths = 2), left = element_render(theme, "axis.line.y", c(1, 1), c(0, 1), id.lengths = 2) ) ticks <- switch(position, top = element_render(theme, "axis.ticks.x", x = rep(at, each=2), y = rep(unit.c(zero, length), nticks), id.lengths = rep(2, nticks)), bottom = element_render(theme, "axis.ticks.x", x = rep(at, each=2), y = rep(unit.c(one-length, one), nticks), id.lengths = rep(2, nticks)), right = element_render(theme, "axis.ticks.y", x = rep(unit.c(zero, length), nticks), y = rep(at, each=2), id.lengths = rep(2, nticks)), left = element_render(theme, "axis.ticks.y", x = rep(unit.c(one-length, one), nticks), y = rep(at, each=2), id.lengths = rep(2, nticks)) ) # Create the gtable for the ticks + labels gt <- switch(position, top = gtable_col("axis", grobs = list(labels, ticks), width = one, heights = unit.c(grobHeight(labels), label_pos)), bottom = gtable_col("axis", grobs = list(ticks, labels), width = one, heights = unit.c(label_pos, grobHeight(labels))), right = gtable_row("axis", grobs = list(ticks, labels), widths = unit.c(label_pos, grobWidth(labels)), height = one), left = gtable_row("axis", grobs = list(labels, ticks), widths = unit.c(grobWidth(labels), label_pos), height = one) ) # Viewport for justifying the axis grob justvp <- switch(position, top = viewport(y = 0, just = "bottom", height = gtable_height(gt)), bottom = viewport(y = 1, just = "top", height = gtable_height(gt)), right = viewport(x = 0, just = "left", width = gtable_width(gt)), left = viewport(x = 1, just = "right", width = gtable_width(gt)) ) absoluteGrob( gList(line, gt), width = gtable_width(gt), height = gtable_height(gt), vp = justvp ) } ggplot2/R/geom-pointrange.r0000644000175100001440000000325012114160774015330 0ustar hornikusers#' An interval represented by a vertical line, with a point in the middle. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "pointrange")} #' #' @inheritParams geom_point #' @seealso #' \code{\link{geom_errorbar}} for error bars, #' \code{\link{geom_linerange}} for range indicated by straight line, + examples, #' \code{\link{geom_crossbar}} for hollow bar with middle indicated by horizontal line, #' \code{\link{stat_summary}} for examples of these guys in use, #' \code{\link{geom_smooth}} for continuous analog" #' @export #' @examples #' # See geom_linerange for examples geom_pointrange <- function (mapping = NULL, data = NULL, stat = "identity", position = "identity", ...) { GeomPointrange$new(mapping = mapping, data = data, stat = stat, position = position, ...) } GeomPointrange <- proto(Geom, { objname <- "pointrange" default_stat <- function(.) StatIdentity default_aes <- function(.) aes(colour = "black", size=0.5, linetype=1, shape=16, fill=NA, alpha = NA) guide_geom <- function(.) "pointrange" required_aes <- c("x", "y", "ymin", "ymax") draw <- function(., data, scales, coordinates, ...) { if (is.null(data$y)) return(GeomLinerange$draw(data, scales, coordinates, ...)) ggname(.$my_name(),gTree(children=gList( GeomLinerange$draw(data, scales, coordinates, ...), GeomPoint$draw(transform(data, size = size * 4), scales, coordinates, ...) ))) } draw_legend <- function(., data, ...) { data <- aesdefaults(data, .$default_aes(), list(...)) grobTree( GeomPath$draw_legend(data, ...), GeomPoint$draw_legend(transform(data, size = size * 4), ...) ) } }) ggplot2/R/fortify-lm.r0000644000175100001440000000510712114160774014330 0ustar hornikusers#' Supplement the data fitted to a linear model with model fit statistics. #' #' If you have missing values in your model data, you may need to refit #' the model with \code{na.action = na.exclude}. #' #' #' @return The original data with extra columns: #' \item{.hat}{Diagonal of the hat matrix} #' \item{.sigma}{Estimate of residual standard deviation when #' corresponding observation is dropped from model} #' \item{.cooksd}{Cooks distance, \code{\link{cooks.distance}}} #' \item{.fitted}{Fitted values of model} #' \item{.resid}{Residuals} #' \item{.stdresid}{Standardised residuals} #' @param model linear model #' @param data data set, defaults to data used to fit model #' @param ... not used by this method #' @method fortify lm #' @S3method fortify lm #' @examples #' #' mod <- lm(mpg ~ wt, data = mtcars) #' head(fortify(mod)) #' head(fortify(mod, mtcars)) #' #' plot(mod, which = 1) #' qplot(.fitted, .resid, data = mod) + #' geom_hline(yintercept = 0) + #' geom_smooth(se = FALSE) #' qplot(.fitted, .stdresid, data = mod) + #' geom_hline(yintercept = 0) + #' geom_smooth(se = FALSE) #' qplot(.fitted, .stdresid, data = fortify(mod, mtcars), #' colour = factor(cyl)) #' qplot(mpg, .stdresid, data = fortify(mod, mtcars), colour = factor(cyl)) #' #' plot(mod, which = 2) #' # qplot(sample =.stdresid, data = mod, stat = "qq") + geom_abline() #' #' plot(mod, which = 3) #' qplot(.fitted, sqrt(abs(.stdresid)), data = mod) + geom_smooth(se = FALSE) #' #' plot(mod, which = 4) #' qplot(seq_along(.cooksd), .cooksd, data = mod, geom = "bar", #' stat="identity") #' #' plot(mod, which = 5) #' qplot(.hat, .stdresid, data = mod) + geom_smooth(se = FALSE) #' ggplot(mod, aes(.hat, .stdresid)) + #' geom_vline(size = 2, colour = "white", xintercept = 0) + #' geom_hline(size = 2, colour = "white", yintercept = 0) + #' geom_point() + geom_smooth(se = FALSE) #' #' qplot(.hat, .stdresid, data = mod, size = .cooksd) + #' geom_smooth(se = FALSE, size = 0.5) #' #' plot(mod, which = 6) #' ggplot(mod, aes(.hat, .cooksd)) + #' geom_vline(xintercept = 0, colour = NA) + #' geom_abline(slope = seq(0, 3, by = 0.5), colour = "white") + #' geom_smooth(se = FALSE) + #' geom_point() #' qplot(.hat, .cooksd, size = .cooksd / .hat, data = mod) + scale_area() fortify.lm <- function(model, data = model$model, ...) { infl <- influence(model, do.coef = FALSE) data$.hat <- infl$hat data$.sigma <- infl$sigma data$.cooksd <- cooks.distance(model, infl) data$.fitted <- predict(model) data$.resid <- resid(model) data$.stdresid <- rstandard(model, infl) data } ggplot2/R/aaa-constants.r0000644000175100001440000000002712114160774014770 0ustar hornikusers.pt <- 1 / 0.352777778 ggplot2/R/stat-density.r0000644000175100001440000001134312114161113014653 0ustar hornikusers#' 1d kernel density estimate. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "density")} #' #' @param adjust see \code{\link{density}} for details #' @param kernel kernel used for density estimation, see #' \code{\link{density}} for details #' @param trim if \code{TRUE}, the default, densities are trimmed to the #' actual range of the data. If \code{FALSE}, they are extended by the #' default 3 bandwidths (as specified by the \code{cut} parameter to #' \code{\link{density}}) #' @param na.rm If \code{FALSE} (the default), removes missing values with #' a warning. If \code{TRUE} silently removes missing values. #' @inheritParams stat_identity #' @return data.frame with additional columns: #' \item{density}{density estimate} #' \item{count}{density * number of points - useful for stacked density #' plots} #' \item{scaled}{density estimate, scaled to maximum of 1} #' @seealso \code{\link{stat_bin}} for the histogram #' @export #' @examples #' \donttest{ #' m <- ggplot(movies, aes(x = rating)) #' m + geom_density() #' #' # Adjust parameters #' m + geom_density(kernel = "rectangular") #' m + geom_density(kernel = "biweight") #' m + geom_density(kernel = "epanechnikov") #' m + geom_density(adjust=1/5) # Very rough #' m + geom_density(adjust=5) # Very smooth #' #' # Adjust aesthetics #' m + geom_density(aes(fill=factor(Drama)), size=2) #' # Scale so peaks have same height: #' m + geom_density(aes(fill=factor(Drama), y = ..scaled..), size=2) #' #' m + geom_density(colour="darkgreen", size=2) #' m + geom_density(colour="darkgreen", size=2, fill=NA) #' m + geom_density(colour="darkgreen", size=2, fill="green") #' #' # Change scales #' (m <- ggplot(movies, aes(x=votes)) + geom_density(trim = TRUE)) #' m + scale_x_log10() #' m + coord_trans(x="log10") #' m + scale_x_log10() + coord_trans(x="log10") #' #' # Also useful with #' m + stat_bin() #' #' # Make a volcano plot #' ggplot(diamonds, aes(x = price)) + #' stat_density(aes(ymax = ..density.., ymin = -..density..), #' fill = "grey50", colour = "grey50", #' geom = "ribbon", position = "identity") + #' facet_grid(. ~ cut) + #' coord_flip() #' #' # Stacked density plots #' # If you want to create a stacked density plot, you need to use #' # the 'count' (density * n) variable instead of the default density #' #' # Loses marginal densities #' qplot(rating, ..density.., data=movies, geom="density", fill=mpaa, position="stack") #' # Preserves marginal densities #' qplot(rating, ..count.., data=movies, geom="density", fill=mpaa, position="stack") #' #' # You can use position="fill" to produce a conditional density estimate #' qplot(rating, ..count.., data=movies, geom="density", fill=mpaa, position="fill") #' #' # Need to be careful with weighted data #' m <- ggplot(movies, aes(x=rating, weight=votes)) #' m + geom_histogram(aes(y = ..count..)) + geom_density(fill=NA) #' #' m <- ggplot(movies, aes(x=rating, weight=votes/sum(votes))) #' m + geom_histogram(aes(y=..density..)) + geom_density(fill=NA, colour="black") #' #' library(plyr) # to access round_any #' movies$decade <- round_any(movies$year, 10) #' m <- ggplot(movies, aes(x=rating, colour=decade, group=decade)) #' m + geom_density(fill=NA) #' m + geom_density(fill=NA) + aes(y = ..count..) #' #' # Use qplot instead #' qplot(length, data=movies, geom="density", weight=rating) #' qplot(length, data=movies, geom="density", weight=rating/sum(rating)) #' } stat_density <- function (mapping = NULL, data = NULL, geom = "area", position = "stack", adjust = 1, kernel = "gaussian", trim = FALSE, na.rm = FALSE, ...) { StatDensity$new(mapping = mapping, data = data, geom = geom, position = position, adjust = adjust, kernel = kernel, trim = trim, na.rm = na.rm, ...) } StatDensity <- proto(Stat, { objname <- "density" calculate <- function(., data, scales, adjust=1, kernel="gaussian", trim=FALSE, na.rm = FALSE, ...) { data <- remove_missing(data, na.rm, "x", name = "stat_density", finite = TRUE) n <- nrow(data) if (n < 3) return(data.frame()) if (is.null(data$weight)) data$weight <- rep(1, n) / n range <- scale_dimension(scales$x, c(0, 0)) xgrid <- seq(range[1], range[2], length=200) dens <- density(data$x, adjust=adjust, kernel=kernel, weight=data$weight, from=range[1], to=range[2]) densdf <- as.data.frame(dens[c("x","y")]) densdf$scaled <- densdf$y / max(densdf$y, na.rm = TRUE) if (trim) densdf <- subset(densdf, x > min(data$x, na.rm = TRUE) & x < max(data$x, na.rm = TRUE)) densdf$count <- densdf$y * n rename(densdf, c(y = "density"), warn_missing = FALSE) } default_geom <- function(.) GeomArea default_aes <- function(.) aes(y = ..density.., fill=NA) required_aes <- c("x") }) ggplot2/R/fortify-spatial.r0000644000175100001440000000535612114160774015363 0ustar hornikusers#' Fortify method for classes from the sp package. #' #' To figure out the correct variable name for region, inspect #' \code{as.data.frame(model)}. #' #' @param model \code{SpatialPolygonsDataFrame} to convert into a dataframe. #' @param data not used by this method #' @param region name of variable used to split up regions #' @param ... not used by this method #' @name fortify.sp #' @examples #' if (require("maptools")) { #' sids <- system.file("shapes/sids.shp", package="maptools") #' nc1 <- readShapePoly(sids, #' proj4string = CRS("+proj=longlat +datum=NAD27")) #' nc1_df <- fortify(nc1) #' } NULL #' @rdname fortify.sp #' @export #' @method fortify SpatialPolygonsDataFrame fortify.SpatialPolygonsDataFrame <- function(model, data, region = NULL, ...) { attr <- as.data.frame(model) # If not specified, split into regions based on polygons if (is.null(region)) { coords <- ldply(model@polygons,fortify) message("Regions defined for each Polygons") } else { cp <- polygons(model) try_require("maptools") # Union together all polygons that make up a region unioned <- unionSpatialPolygons(cp, attr[, region]) coords <- fortify(unioned) coords$order <- 1:nrow(coords) } coords } #' @rdname fortify.sp #' @export #' @method fortify SpatialPolygons fortify.SpatialPolygons <- function(model, data, ...) { ldply(model@polygons, fortify) } #' @rdname fortify.sp #' @export #' @method fortify Polygons fortify.Polygons <- function(model, data, ...) { subpolys <- model@Polygons pieces <- ldply(seq_along(subpolys), function(i) { df <- fortify(subpolys[[model@plotOrder[i]]]) df$piece <- i df }) within(pieces,{ order <- 1:nrow(pieces) id <- model@ID piece <- factor(piece) group <- interaction(id, piece) }) } #' @rdname fortify.sp #' @export #' @method fortify Polygon fortify.Polygon <- function(model, data, ...) { df <- as.data.frame(model@coords) names(df) <- c("long", "lat") df$order <- 1:nrow(df) df$hole <- model@hole df } #' @rdname fortify.sp #' @export #' @method fortify SpatialLinesDataFrame fortify.SpatialLinesDataFrame <- function(model, data, ...) { ldply(model@lines, fortify) } #' @rdname fortify.sp #' @export #' @method fortify Lines fortify.Lines <- function(model, data, ...) { lines <- model@Lines pieces <- ldply(seq_along(lines), function(i) { df <- fortify(lines[[i]]) df$piece <- i df }) within(pieces,{ order <- 1:nrow(pieces) id <- model@ID piece <- factor(piece) group <- interaction(id, piece) }) } #' @rdname fortify.sp #' @export #' @method fortify Line fortify.Line <- function(model, data, ...) { df <- as.data.frame(model@coords) names(df) <- c("long", "lat") df$order <- 1:nrow(df) df } ggplot2/R/facet-.r0000644000175100001440000000324112114160774013374 0ustar hornikusers#' Facet specification. #' #' Create new facetting specification. For internal use only. #' #' @param ... object fields #' @param shrink shrink scales to fit output of statistics, not raw data #' @keywords internal #' @export facet <- function(..., shrink = TRUE, subclass = c()) { structure(list(..., shrink = shrink), class = c(subclass, "facet")) } #' Is this object a facetting specification? #' #' @param x object to test #' @keywords internal #' @export is.facet <- function(x) inherits(x, "facet") # Figure out layout from data from plot and all layers. # # This creates the layout data frame which maps from data values to # panel coordinates: ROW, COL and PANEL. It also records the panels that # contribute to each x and y scale. # # @param data a list of data frames (one for the plot and one for each # layer) facet_train_layout <- function(facet, data) UseMethod("facet_train_layout") facet_map_layout <- function(facet, data, layout) UseMethod("facet_map_layout") facet_render <- function(facet, panels_grob, coord, theme, geom_grobs) UseMethod("facet_render") facet_strips <- function(facet, panel, theme) UseMethod("facet_strips") facet_panels <- function(facet, panel, coord, theme, geom_grobs) UseMethod("facet_panels") facet_axes <- function(facet, panel, coord, theme) UseMethod("facet_axes") # Text description of facetting variables facet_vars <- function(facet) UseMethod("facet_vars") #' @S3method format facet format.facet <- function(x, ...) { name <- paste(rev(class(x)), collapse = "_") paste(name, "(", facet_vars(x), ")", sep = "") } #' @S3method print facet print.facet <- function(x, ...) { cat(format(x, ...), "\n") } ggplot2/R/stat-ecdf.r0000644000175100001440000000301612114160774014107 0ustar hornikusers#' Empirical Cumulative Density Function #' #' @inheritParams stat_identity #' @param n if NULL, do not interpolate. If not NULL, this is the number #' of points to interpolate with. #' @return a data.frame with additional columns: #' \item{x}{x in data} #' \item{y}{cumulative density corresponding x} #' @export #' @examples #' \donttest{ #' qplot(rnorm(1000), stat = "ecdf", geom = "step") #' #' df <- data.frame(x = c(rnorm(100, 0, 3), rnorm(100, 0, 10)), #' g = gl(2, 100)) #' #' ggplot(df, aes(x, colour = g)) + stat_ecdf() #' } stat_ecdf <- function (mapping = NULL, data = NULL, geom = "step", position = "identity", n = NULL, ...) { StatEcdf$new(mapping = mapping, data = data, geom = geom, position = position, n = n, ...) } StatEcdf <- proto(Stat, { objname <- "ecdf" calculate <- function(., data, scales, n = NULL, ...) { # If n is NULL, use raw values; otherwise interpolate if (is.null(n)) { xvals <- unique(data$x) } else { xvals <- seq(min(data$x), max(data$x), length.out = n) } y <- ecdf(data$x)(xvals) # make point with y = 0, from plot.stepfun rx <- range(xvals) if (length(xvals) > 1L) { dr <- max(0.08 * diff(rx), median(diff(xvals))) } else { dr <- abs(xvals)/16 } x0 <- rx[1] - dr x1 <- rx[2] + dr y0 <- 0 y1 <- 1 data.frame(x = c(x0, xvals, x1), y = c(y0, y, y1)) } default_aes <- function(.) aes(y = ..y..) required_aes <- c("x") default_geom <- function(.) GeomStep }) ggplot2/R/geom-text.r0000644000175100001440000000634212114160774014153 0ustar hornikusers#' Textual annotations. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "text")} #' #' @inheritParams geom_point #' @param parse If TRUE, the labels will be parsed into expressions and #' displayed as described in ?plotmath #' @export #' @examples #' \donttest{ #' p <- ggplot(mtcars, aes(x=wt, y=mpg, label=rownames(mtcars))) #' #' p + geom_text() #' # Change size of the label #' p + geom_text(size=10) #' p <- p + geom_point() #' #' # Set aesthetics to fixed value #' p + geom_text() #' p + geom_point() + geom_text(hjust=0, vjust=0) #' p + geom_point() + geom_text(angle = 45) #' #' # Add aesthetic mappings #' p + geom_text(aes(colour=factor(cyl))) #' p + geom_text(aes(colour=factor(cyl))) + scale_colour_discrete(l=40) #' #' p + geom_text(aes(size=wt)) #' p + geom_text(aes(size=wt)) + scale_size(range=c(3,6)) #' #' # You can display expressions by setting parse = TRUE. The #' # details of the display are described in ?plotmath, but note that #' # geom_text uses strings, not expressions. #' p + geom_text(aes(label = paste(wt, "^(", cyl, ")", sep = "")), #' parse = TRUE) #' #' # Add an annotation not from a variable source #' c <- ggplot(mtcars, aes(wt, mpg)) + geom_point() #' c + geom_text(data = NULL, x = 5, y = 30, label = "plot mpg vs. wt") #' # Or, you can use annotate #' c + annotate("text", label = "plot mpg vs. wt", x = 2, y = 15, size = 8, colour = "red") #' #' # Use qplot instead #' qplot(wt, mpg, data = mtcars, label = rownames(mtcars), #' geom=c("point", "text")) #' qplot(wt, mpg, data = mtcars, label = rownames(mtcars), size = wt) + #' geom_text(colour = "red") #' #' # You can specify family, fontface and lineheight #' p <- ggplot(mtcars, aes(x=wt, y=mpg, label=rownames(mtcars))) #' p + geom_text(fontface=3) #' p + geom_text(aes(fontface=am+1)) #' p + geom_text(aes(family=c("serif", "mono")[am+1])) #' } geom_text <- function (mapping = NULL, data = NULL, stat = "identity", position = "identity", parse = FALSE, ...) { GeomText$new(mapping = mapping, data = data, stat = stat, position = position, parse = parse, ...) } GeomText <- proto(Geom, { objname <- "text" draw_groups <- function(., ...) .$draw(...) draw <- function(., data, scales, coordinates, ..., parse = FALSE, na.rm = FALSE) { data <- remove_missing(data, na.rm, c("x", "y", "label"), name = "geom_text") lab <- data$label if (parse) { lab <- parse(text = lab) } with(coord_transform(coordinates, data, scales), textGrob(lab, x, y, default.units="native", hjust=hjust, vjust=vjust, rot=angle, gp = gpar(col = alpha(colour, alpha), fontsize = size * .pt, fontfamily = family, fontface = fontface, lineheight = lineheight)) ) } draw_legend <- function(., data, ...) { data <- aesdefaults(data, .$default_aes(), list(...)) with(data, textGrob("a", 0.5, 0.5, rot = angle, gp=gpar(col=alpha(colour, alpha), fontsize = size * .pt)) ) } default_stat <- function(.) StatIdentity required_aes <- c("x", "y", "label") default_aes <- function(.) aes(colour="black", size=5 , angle=0, hjust=0.5, vjust=0.5, alpha = NA, family="", fontface=1, lineheight=1.2) guide_geom <- function(x) "text" }) ggplot2/R/grob-null.r0000644000175100001440000000106712114160774014142 0ustar hornikusers#' The zero grob draws nothing and has zero size. #' #' @S3method widthDetails zeroGrob #' @S3method heightDetails zeroGrob #' @S3method grobWidth zeroGrob #' @S3method grobHeight zeroGrob #' @S3method drawDetails zeroGrob #' @keywords internal zeroGrob <- function() .zeroGrob .zeroGrob <- grob(cl = "zeroGrob", name = "NULL") widthDetails.zeroGrob <- heightDetails.zeroGrob <- grobWidth.zeroGrob <- grobHeight.zeroGrob <- function(x) unit(0, "cm") drawDetails.zeroGrob <- function(x, recording) {} is.zero <- function(x) is.null(x) || inherits(x, "zeroGrob") ggplot2/R/position-stack.r0000644000175100001440000000362112114160774015206 0ustar hornikusers#' Stack overlapping objects on top of one another. #' #' @inheritParams position_identity #' @family position adjustments #' @export #' @examples #' # Stacking is the default behaviour for most area plots: #' ggplot(mtcars, aes(factor(cyl), fill = factor(vs))) + geom_bar() #' #' # To change stacking order, use factor() to change order of levels #' mtcars$vs <- factor(mtcars$vs, levels = c(1,0)) #' ggplot(mtcars, aes(factor(cyl), fill = factor(vs))) + geom_bar() #' #' ggplot(diamonds, aes(price)) + geom_histogram(binwidth=500) #' ggplot(diamonds, aes(price, fill = cut)) + geom_histogram(binwidth=500) #' #' # Stacking is also useful for time series #' data.set <- data.frame( #' Time = c(rep(1, 4),rep(2, 4), rep(3, 4), rep(4, 4)), #' Type = rep(c('a', 'b', 'c', 'd'), 4), #' Value = rpois(16, 10) #' ) #' #' qplot(Time, Value, data = data.set, fill = Type, geom = "area") #' # If you want to stack lines, you need to say so: #' qplot(Time, Value, data = data.set, colour = Type, geom = "line") #' qplot(Time, Value, data = data.set, colour = Type, geom = "line", #' position = "stack") #' # But realise that this makes it *much* harder to compare individual #' # trends position_stack <- function (width = NULL, height = NULL) { PositionStack$new(width = width, height = height) } PositionStack <- proto(Position, { objname <- "stack" adjust <- function(., data) { if (empty(data)) return(data.frame()) data <- remove_missing(data, FALSE, c("x", "y", "ymin", "ymax", "xmin", "xmax"), name = "position_stack") if (is.null(data$ymax) && is.null(data$y)) { message("Missing y and ymax in position = 'stack'. ", "Maybe you want position = 'identity'?") return(data) } if (!is.null(data$ymin) && !all(data$ymin == 0)) warning("Stacking not well defined when ymin != 0", call. = FALSE) collide(data, .$width, .$my_name(), pos_stack) } }) ggplot2/R/utilities-matrix.r0000644000175100001440000000562712114160774015564 0ustar hornikusers#' Row weave. #' #' Weave together two (or more) matrices by row. #' #' Matrices must have same dimensions. #' #' @param ... matrices to weave together #' @keywords internal #' @S3method rweave list #' @S3method rweave matrix #X a <- matrix(1:10 * 2, ncol = 2) #X b <- matrix(1:10 * 3, ncol = 2) #X c <- matrix(1:10 * 5, ncol = 2) rweave <- function(...) UseMethod("rweave") rweave.list <- function(...) do.call("rweave", ...) rweave.matrix <- function(...) { matrices <- list(...) stopifnot(equal_dims(matrices)) n <- nrow(matrices[[1]]) p <- length(matrices) interleave <- rep(1:n, each = p) + seq(0, p - 1) * n do.call("rbind", matrices)[interleave, , drop = FALSE] } # Col union # Form the union of columns in a and b. If there are columns of the same name in both a and b, take the column from a. # # @param data frame a # @param data frame b # @keyword internal cunion <- function(a, b) { if (length(a) == 0) return(b) if (length(b) == 0) return(a) cbind(a, b[setdiff(names(b), names(a))]) } #' Col weave #' #' Weave together two (or more) matrices by column #' #' Matrices must have same dimensions #' #' @param ... matrices to weave together #' @keywords internal #' @S3method cweave list #' @S3method cweave matrix cweave <- function(...) UseMethod("cweave") cweave.list <- function(...) do.call("cweave", ...) cweave.matrix <- function(...) { matrices <- list(...) stopifnot(equal_dims(matrices)) n <- ncol(matrices[[1]]) p <- length(matrices) interleave <- rep(1:n, each = p) + seq(0, p - 1) * n do.call("cbind", matrices)[, interleave, drop = FALSE] } #' Interleave (or zip) multiple vectors into a single vector. #' #' @param ... vectors to interleave #' @keywords internal #' @S3method interleave list #' @S3method interleave unit #' @S3method interleave default interleave <- function(...) UseMethod("interleave") interleave.list <- function(...) do.call("interleave", ...) interleave.unit <- function(...) { do.call("unit.c", do.call("interleave.default", llply(list(...), as.list))) } interleave.default <- function(...) { vectors <- list(...) # Check lengths lengths <- unique(setdiff(laply(vectors, length), 1)) if (length(lengths) == 0) lengths <- 1 stopifnot(length(lengths) <= 1) # Replicate elements of length one up to correct length singletons <- laply(vectors, length) == 1 vectors[singletons] <- llply(vectors[singletons], rep, lengths) # Interleave vectors n <- lengths p <- length(vectors) interleave <- rep(1:n, each = p) + seq(0, p - 1) * n unlist(vectors, recursive=FALSE)[interleave] } # Equal dims? # Check that a list of matrices have equal dimensions # # @param list of matrices # @keyword internal equal_dims <- function(matrices) { are.matrices <- laply(matrices, is.matrix) stopifnot(all(are.matrices)) cols <- laply(matrices, ncol) rows <- laply(matrices, ncol) length(unique(cols) == 1) && length(unique(rows) == 1) } ggplot2/R/translate-qplot-base.r0000644000175100001440000001216212114160774016301 0ustar hornikusers#' Translating between qplot and base graphics #' #' There are two types of graphics functions in base graphics, those that draw #' complete graphics and those that add to existing graphics. #' #' qplot() has been designed to mimic plot(), and can do the job of all other #' high-level plotting commands. There are only two graph types from base #' graphics that cannot be replicated with ggplot2: filled.contour() and #' persp() #' #' @name translate_qplot_base #' @examples #' \donttest{ #' #' # High-level plotting commands #' #' x <- runif(10) #' y <- 1:10 #' plot(x, y); dotchart(x, y) #' qplot(x, y) #' #' plot(x, y, type = "l") #' qplot(x, y, geom = "line") #' #' plot(x, y, type = "s") #' qplot(x, y, geom = "step") #' #' plot(x, y, type = "b") #' qplot(x, y, geom = c("point", "line")) #' #' boxplot(x, y) #' qplot(x, y, geom = "boxplot") #' #' hist(x) #' qplot(x, geom = "histogram") #' #' # cdplot(factor(x), y) #' # qplot(x, fill = y, geom = "density", position = "fill") #' #' # coplot(y ~ x | a + b) #' # qplot(x, y, facets = a ~ b) #' #' # Many of the geoms are parameterised differently than base graphics. For #' # example, hist() is parameterised in terms of the number of bins, while #' # geom_histogram() is parameterised in terms of the width of each bin. #' hist(x, bins = 10) #' qplot(x, geom = "histogram", binwidth = .1) #' #' # qplot() often requires data in a slightly different format to the base #' # graphics functions. For example, the bar geom works with untabulated data, #' # not tabulated data like barplot(); the tile and contour geoms expect data #' # in a data frame, not a matrix like image() and contour(). #' barplot(table(x)) #' qplot(x, geom = "bar") #' #' barplot(x) #' qplot(seq_along(x), x, geom = "bar", stat = "identity") #' #' # image(x) #' # qplot(X1, X2, data = melt(x), geom = "tile", fill = value) #' #' # contour(x) #' # qplot(X1, X2, data = melt(x), geom = "contour", fill = value) #' #' # Generally, the base graphics functions work with individual vectors, not #' # data frames like ggplot2. qplot() will try to construct a data frame if one #' # is not specified, but it is not always possible. If you get strange errors, #' # you may need to create the data frame yourself. #' df <- data.frame(x = x, y = y) #' with(df, plot(x, y)) #' qplot(x, y, data = df) #' #' # By default, qplot() maps values to aesthetics with a scale. To override #' # this behaviour and set aesthetics, overriding the defaults, you need to use I(). #' plot(x, y, col = "red", cex = 1) #' qplot(x, y, colour = I("red"), size = I(1)) #' #' # Low-level drawing #' #' # The low-level drawing functions which add to an existing plot are equivalent #' # to adding a new layer in ggplot2. #' #' # Base function ggplot2 layer #' # curve() geom_curve() #' # hline() geom_hline() #' # lines() geom_line() #' # points() geom_point() #' # polygon() geom_polygon() #' # rect() geom_rect() #' # rug() geom_rug() #' # segments() geom_segment() #' # text() geom_text() #' # vline() geom_vline() #' # abline(lm(y ~ x)) geom_smooth(method = "lm") #' # lines(density(x)) geom_density() #' # lines(loess(x, y)) geom_smooth() #' #' plot(x, y) #' lines(x, y) #' #' qplot(x, y) + geom_line() #' #' # Or, building up piece-meal #' qplot(x, y) #' last_plot() + geom_line() #' #' # Legends, axes and grid lines #' #' # In ggplot2, the appearance of legends and axes is controlled by the scales. #' # Axes are produced by the x and y scales, while all other scales produce legends. #' # See ?theme for help changing the appearance of axes and legends. #' # The appearance of grid lines is controlled by the grid.major and grid.minor #' # theme options, and their position by the breaks of the x and y scales. #' #' # Colour palettes #' #' # Instead of global colour palettes, ggplot2 has scales for individual plots. Much #' # of the time you can rely on the default colour scale (which has somewhat better #' # perceptual properties), but if you want to reuse an existing colour palette, you #' # can use scale_colour_manual(). You will need to make sure that the colour #' # is a factor for this to work. #' #' palette(rainbow(5)) #' plot(1:5, 1:5, col = 1:5, pch = 19, cex = 4) #' #' qplot(1:5, 1:5, col = factor(1:5), size = I(4)) #' last_plot() + scale_colour_manual(values = rainbow(5)) #' #' # In ggplot2, you can also use palettes with continuous values, #' # with intermediate values being linearly interpolated. #' #' qplot(0:100, 0:100, col = 0:100, size = I(4)) + #' scale_colour_gradientn(colours = rainbow(7)) #' last_plot() + scale_colour_gradientn(colours = terrain.colors(7)) #' #' # Graphical parameters #' #' # The majority of par settings have some analogue within the theme system, or #' # in the defaults of the geoms and scales. The appearance plot border drawn #' # by box() can be controlled in a similar way by the panel.background and #' # plot.background theme elements. Instead of using title(), the plot title is #' # set with the title option. See ?theme for more theme elements. #' last_plot() + labs(title = "My Plot Title") #' } NULL ggplot2/R/coord-munch.r0000644000175100001440000001463012114161113014443 0ustar hornikuserscoord_munch <- function(coord, data, range, segment_length = 0.01) { if (is.linear(coord)) return(coord_transform(coord, data, range)) # range has theta and r values; get corresponding x and y values ranges <- coord_range(coord, range) # Convert any infinite locations into max/min # Only need to work with x and y because for munching, those are the # only position aesthetics that are transformed data$x[data$x == -Inf] <- ranges$x[1] data$x[data$x == Inf] <- ranges$x[2] data$y[data$y == -Inf] <- ranges$y[1] data$y[data$y == Inf] <- ranges$y[2] # Calculate distances using coord distance metric dist <- coord_distance(coord, data$x, data$y, range) dist[data$group[-1] != data$group[-nrow(data)]] <- NA # Munch and then transform result munched <- munch_data(data, dist, segment_length) coord_transform(coord, munched, range) } # For munching, only grobs are lines and polygons: everything else is # transfomed into those special cases by the geom. # # @param dist distance, scaled from 0 to 1 (maximum distance on plot) # @keyword internal munch_data <- function(data, dist = NULL, segment_length = 0.01) { n <- nrow(data) if (is.null(dist)) { data <- add_group(data) dist <- dist_euclidean(data$x, data$y) } # How many pieces for each old segment extra <- floor(dist / segment_length) + 1 extra[is.na(extra)] <- 1 # Generate extra pieces for x and y values x <- unlist(mapply(interp, data$x[-n], data$x[-1], extra, SIMPLIFY = FALSE)) y <- unlist(mapply(interp, data$y[-n], data$y[-1], extra, SIMPLIFY = FALSE)) # Replicate other aesthetics: defined by start point id <- rep(seq_len(nrow(data) - 1), extra) aes_df <- data[id, setdiff(names(data), c("x", "y"))] unrowname(data.frame(x = x, y = y, aes_df)) } # Interpolate. # Interpolate n evenly spaced steps from start to end - (end - start) / n. interp <- function(start, end, n) { if (n == 1) return(start) start + seq(0, 1, length = n) * (end - start) } # Euclidean distance between points. # NA indicates a break / terminal points dist_euclidean <- function(x, y) { n <- length(x) sqrt((x[-n] - x[-1]) ^ 2 + (y[-n] - y[-1]) ^ 2) } # Compute central angle between two points. # Multiple by radius of sphere to get great circle distance # @arguments longitude # @arguments latitude dist_central_angle <- function(lon, lat) { # Convert to radians lat <- lat * pi / 180 lon <- lon * pi / 180 hav <- function(x) sin(x / 2) ^ 2 ahav <- function(x) 2 * asin(x) n <- length(lat) ahav(sqrt(hav(diff(lat)) + cos(lat[-n]) * cos(lat[-1]) * hav(diff(lon)))) } # Polar dist. # Polar distance between points. This does not give the straight-line # distance between points in polar space. Instead, it gives the distance # along lines that _were_ straight in cartesian space, but have been # warped into polar space. These lines are all spiral arcs, circular # arcs, or segments of rays. dist_polar <- function(r, theta) { # Pretending that theta is x and r is y, find the slope and intercepts # for each line segment. # This is just like finding the x-intercept of a line in cartesian coordinates. lf <- find_line_formula(theta, r) # Rename x and y columns to r and t, since we're working in polar # Note that 'slope' actually means the spiral slope, 'a' in the spiral # formula r = a * theta lf <- rename(lf, c(x1 = "t1", x2 = "t2", y1 = "r1", y2 = "r2", yintercept = "r_int", xintercept = "t_int"), warn_missing = FALSE) # Re-normalize the theta values so that intercept for each is 0 # This is necessary for calculating spiral arc length. # If the formula is r=a*theta, there's a big difference between # calculating the arc length from theta = 0 to pi/2, vs. # theta = 2*pi to pi/2 lf$tn1 <- lf$t1 - lf$t_int lf$tn2 <- lf$t2 - lf$t_int # Add empty distance column lf$dist <- NA_real_ # There are three types of lines, which we handle in turn: # - Spiral arcs (r and theta change) # - Circular arcs (r is constant) # - Rays (theta is constant) # Get spiral arc length for segments that have non-zero, non-infinite slope # (spiral_arc_length only works for actual spirals, not circle arcs or rays) # Use the _normalized_ theta values for arc length calculation # Also make sure to ignore NA's because they cause problems when used on left # side assignment. idx <- !is.na(lf$slope) & lf$slope != 0 & !is.infinite(lf$slope) idx[is.na(idx)] <- FALSE lf$dist[idx] <- spiral_arc_length(lf$slope[idx], lf$tn1[idx], lf$tn2[idx]) # Get cicular arc length for segments that have zero slope (r1 == r2) idx <- !is.na(lf$slope) & lf$slope == 0 lf$dist[idx] <- lf$r1[idx] * (lf$t2[idx] - lf$t1[idx]) # Get radial length for segments that have infinite slope (t1 == t2) idx <- !is.na(lf$slope) & is.infinite(lf$slope) lf$dist[idx] <- lf$r1[idx] - lf$r2[idx] # Find the maximum possible length, a spiral line from # (r=0, theta=0) to (r=1, theta=2*pi) max_dist <- spiral_arc_length(1 / (2 * pi), 0, 2 * pi) # Final distance values, normalized abs(lf$dist / max_dist) } # Given n points, find the slope, xintercept, and yintercept of # the lines connecting them. # # This returns a data frame with length(x)-1 rows # # @param x A vector of x values # @param y A vector of y values # @examples # find_line_formula(c(4, 7), c(1, 5)) # find_line_formula(c(4, 7, 9), c(1, 5, 3)) find_line_formula <- function(x, y) { slope <- diff(y) / diff(x) yintercept <- y[-1] - (slope * x[-1]) xintercept <- x[-1] - (y[-1] / slope) data.frame(x1 = x[-length(x)], y1 = y[-length(y)], x2 = x[-1], y2 = y[-1], slope = slope, yintercept = yintercept, xintercept = xintercept) } # Spiral arc length # # Each segment consists of a spiral line of slope 'a' between angles # 'theta1' and 'theta2'. Because each segment has its own _normalized_ # slope, the ending theta2 value may not be the same as the starting # theta1 value of the next point. # # @param a A vector of spiral "slopes". Each spiral is defined as r = a * theta. # @param theta1 A vector of starting theta values. # @param theta2 A vector of ending theta values. # @examples # spiral_arc_length(a = c(0.2, 0.5), c(0.5 * pi, pi), c(pi, 1.25 * pi)) spiral_arc_length <- function(a, theta1, theta2) { # Archimedes' spiral arc length formula from # http://mathworld.wolfram.com/ArchimedesSpiral.html 0.5 * a * ( (theta1 * sqrt(1 + theta1 * theta1) + asinh(theta1)) - (theta2 * sqrt(1 + theta2 * theta2) + asinh(theta2))) } ggplot2/R/plot.r0000644000175100001440000001107412114160774013216 0ustar hornikusers#' Create a new ggplot plot #' #' \code{ggplot()} initializes a ggplot object. It can be used to #' declare the input data frame for a graphic and to specify the #' set of plot aesthetics intended to be common throughout all #' subsequent layers unless specifically overridden. #' #' \code{ggplot()} is typically used to construct a plot #' incrementally, using the + operator to add layers to the #' existing ggplot object. This is advantageous in that the #' code is explicit about which layers are added and the order #' in which they are added. For complex graphics with multiple #' layers, initialization with \code{ggplot} is recommended. #' #' There are three common ways to invoke \code{ggplot}: #' \itemize{ #' \item \code{ggplot(df, aes(x, y, ))} #' \item \code{ggplot(df)} #' \item \code{ggplot()} #' } #' The first method is recommended if all layers use the same #' data and the same set of aesthetics, although this method #' can also be used to add a layer using data from another #' data frame. See the first example below. The second #' method specifies the default data frame to use for the plot, #' but no aesthetics are defined up front. This is useful when #' one data frame is used predominantly as layers are added, #' but the aesthetics may vary from one layer to another. The #' third method initializes a skeleton \code{ggplot} object which #' is fleshed out as layers are added. This method is useful when #' multiple data frames are used to produce different layers, as #' is often the case in complex graphics. #' #' The examples below illustrate how these methods of #' invoking \code{ggplot} can be used in constructing a #' graphic. #' @seealso \url{http://had.co.nz/ggplot2} #' @export #' @keywords internal #' @param data default data set #' @param ... other arguments passed to specific methods #' @examples # #' df <- data.frame(gp = factor(rep(letters[1:3], each = 10)), #' y = rnorm(30)) #' # Compute sample mean and standard deviation in each group #' library(plyr) #' ds <- ddply(df, .(gp), summarise, mean = mean(y), sd = sd(y)) #' #' # Declare the data frame and common aesthetics. #' # The summary data frame ds is used to plot #' # larger red points in a second geom_point() layer. #' # If the data = argument is not specified, it uses the #' # declared data frame from ggplot(); ditto for the aesthetics. #' ggplot(df, aes(x = gp, y = y)) + #' geom_point() + #' geom_point(data = ds, aes(y = mean), #' colour = 'red', size = 3) #' # Same plot as above, declaring only the data frame in ggplot(). #' # Note how the x and y aesthetics must now be declared in #' # each geom_point() layer. #' ggplot(df) + #' geom_point(aes(x = gp, y = y)) + #' geom_point(data = ds, aes(x = gp, y = mean), #' colour = 'red', size = 3) #' # Set up a skeleton ggplot object and add layers: #' ggplot() + #' geom_point(data = df, aes(x = gp, y = y)) + #' geom_point(data = ds, aes(x = gp, y = mean), #' colour = 'red', size = 3) + #' geom_errorbar(data = ds, aes(x = gp, y = mean, #' ymin = mean - sd, ymax = mean + sd), #' colour = 'red', width = 0.4) ggplot <- function(data = NULL, ...) UseMethod("ggplot") #' @S3method ggplot default ggplot.default <- function(data = NULL, mapping = aes(), ...) { ggplot.data.frame(fortify(data, ...), mapping) } #' Reports whether x is a ggplot object #' @param x An object to test #' @export is.ggplot <- function(x) inherits(x, "ggplot") #' Create a new ggplot plot from a data frame #' #' @param data default data frame for plot #' @param mapping default list of aesthetic mappings (these can be colour, #' size, shape, line type -- see individual geom functions for more details) #' @param ... ignored #' @param environment in which evaluation of aesthetics should occur #' @seealso \url{http://had.co.nz/ggplot2} #' @method ggplot data.frame #' @export ggplot.data.frame <- function(data, mapping=aes(), ..., environment = globalenv()) { if (!missing(mapping) && !inherits(mapping, "uneval")) stop("Mapping should be created with aes or aes_string") p <- structure(list( data = data, layers = list(), scales = Scales$new(), mapping = mapping, theme = list(), coordinates = coord_cartesian(), facet = facet_null(), plot_env = environment ), class = c("gg", "ggplot")) p$labels <- make_labels(mapping) set_last_plot(p) p } plot_clone <- function(plot) { p <- plot p$scales <- plot$scales$clone() p$layers <- lapply(plot$layers, function(x) x$clone()) p } ggplot2/R/facet-locate.r0000644000175100001440000000456512114160774014576 0ustar hornikusers# Take single layer of data and combine it with panel information to split # data into different panels. Adds in extra data for missing facetting # levels and for margins. # # @params data a data frame locate_grid <- function(data, panels, rows = NULL, cols = NULL, margins = FALSE) { if (empty(data)) { return(cbind(data, PANEL = integer(0))) } rows <- as.quoted(rows) cols <- as.quoted(cols) vars <- c(names(rows), names(cols)) # Compute facetting values and add margins margin_vars <- list(intersect(names(rows), names(data)), intersect(names(cols), names(data))) data <- add_margins(data, margin_vars, margins) facet_vals <- quoted_df(data, c(rows, cols)) # If any facetting variables are missing, add them in by # duplicating the data missing_facets <- setdiff(vars, names(facet_vals)) if (length(missing_facets) > 0) { to_add <- unique(panels[missing_facets]) data_rep <- rep.int(1:nrow(data), nrow(to_add)) facet_rep <- rep(1:nrow(to_add), each = nrow(data)) data <- unrowname(data[data_rep, , drop = FALSE]) facet_vals <- unrowname(cbind( facet_vals[data_rep, , drop = FALSE], to_add[facet_rep, , drop = FALSE])) } # Add PANEL variable if (nrow(facet_vals) == 0) { # Special case of no facetting data$PANEL <- 1 } else { facet_vals[] <- lapply(facet_vals[], as.factor) facet_vals[] <- lapply(facet_vals[], addNA, ifany = TRUE) keys <- join.keys(facet_vals, panels, by = vars) data$PANEL <- panels$PANEL[match(keys$x, keys$y)] } arrange(data, PANEL) } locate_wrap <- function(data, panels, vars) { if (empty(data)) { return(cbind(data, PANEL = integer(0))) } vars <- as.quoted(vars) facet_vals <- quoted_df(data, vars) facet_vals[] <- lapply(facet_vals[], as.factor) missing_facets <- setdiff(names(vars), names(facet_vals)) if (length(missing_facets) > 0) { to_add <- unique(panels[missing_facets]) data_rep <- rep.int(1:nrow(data), nrow(to_add)) facet_rep <- rep(1:nrow(to_add), each = nrow(data)) data <- unrowname(data[data_rep, , drop = FALSE]) facet_vals <- unrowname(cbind( facet_vals[data_rep, , drop = FALSE], to_add[facet_rep, , drop = FALSE])) } keys <- join.keys(facet_vals, panels, by = names(vars)) data$PANEL <- panels$PANEL[match(keys$x, keys$y)] data[order(data$PANEL), ] } ggplot2/R/geom-vline.r0000644000175100001440000000601212114160774014276 0ustar hornikusers#' Line, vertical. #' #' This geom allows you to annotate the plot with vertical lines (see #' \code{\link{geom_hline}} and \code{\link{geom_abline}} for other types of #' lines. #' #' There are two ways to use it. You can either specify the intercept of the #' line in the call to the geom, in which case the line will be in the same #' position in every panel. Alternatively, you can supply a different #' intercept for each panel using a data.frame. See the examples for the #' differences. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "vline")} #' #' @param show_guide should a legend be drawn? (defaults to \code{FALSE}) #' @inheritParams geom_point #' @seealso #' \code{\link{geom_hline}} for horizontal lines, #' \code{\link{geom_abline}} for lines defined by a slope and intercept, #' \code{\link{geom_segment}} for a more general approach" #' @export #' @examples #' # Fixed lines #' p <- ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point() #' p + geom_vline(xintercept = 5) #' p + geom_vline(xintercept = 1:5) #' p + geom_vline(xintercept = 1:5, colour="green", linetype = "longdash") #' p + geom_vline(aes(xintercept = wt)) #' #' # With coordinate transforms #' p + geom_vline(aes(xintercept = wt)) + coord_equal() #' p + geom_vline(aes(xintercept = wt)) + coord_flip() #' p + geom_vline(aes(xintercept = wt)) + coord_polar() #' #' p2 <- p + aes(colour = factor(cyl)) #' p2 + geom_vline(xintercept = 15) #' #' # To display different lines in different facets, you need to #' # create a data frame. #' p <- qplot(mpg, wt, data=mtcars, facets = vs ~ am) #' vline.data <- data.frame(z = c(15, 20, 25, 30), vs = c(0, 0, 1, 1), am = c(0, 1, 0, 1)) #' p + geom_vline(aes(xintercept = z), vline.data) geom_vline <- function (mapping = NULL, data = NULL, stat = "vline", position = "identity", show_guide = FALSE, ...) { GeomVline$new(mapping = mapping, data = data, stat = stat, position = position, show_guide = show_guide, ...) } GeomVline <- proto(Geom, { objname <- "vline" new <- function(., data = NULL, mapping = NULL, xintercept = NULL, ...) { if (is.numeric(xintercept)) { data <- data.frame(xintercept = xintercept) xintercept <- NULL mapping <- aes_all(names(data)) } .super$new(., data = data, mapping = mapping, inherit.aes = FALSE, xintercept = xintercept, ...) } draw <- function(., data, scales, coordinates, ...) { ranges <- coord_range(coordinates, scales) data$y <- ranges$y[1] data$yend <- ranges$y[2] GeomSegment$draw(unique(data), scales, coordinates) } default_stat <- function(.) StatVline default_aes <- function(.) aes(colour="black", size=0.5, linetype=1, alpha = NA) guide_geom <- function(.) "vline" draw_legend <- function(., data, ...) { data <- aesdefaults(data, .$default_aes(), list(...)) with(data, ggname(.$my_name(), segmentsGrob(0.5, 0, 0.5, 1, default.units="npc", gp=gpar(col=alpha(colour, alpha), lwd=size * .pt, lty=linetype, lineend="butt"))) ) } }) ggplot2/R/geom-bin2d.r0000644000175100001440000000172712114160774014167 0ustar hornikusers#' Add heatmap of 2d bin counts. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "bin2d")} #' #' @export #' @inheritParams geom_point #' @examples #' d <- ggplot(diamonds, aes(x = x, y = y)) + xlim(4,10) + ylim(4,10) #' d + geom_bin2d() #' d + geom_bin2d(binwidth = c(0.1, 0.1)) #' #' # See ?stat_bin2d for more examples geom_bin2d <- function (mapping = NULL, data = NULL, stat = "bin2d", position = "identity", ...) { GeomBin2d$new(mapping = mapping, data = data, stat = stat, position = position, ...) } GeomBin2d <- proto(Geom, { draw <- function(., data, scales, coordinates, ...) { GeomRect$draw(data, scales, coordinates, ...) } objname <- "bin2d" guide_geom <- function(.) "polygon" default_stat <- function(.) StatBin2d required_aes <- c("xmin", "xmax", "ymin", "ymax") default_aes <- function(.) { aes(colour = NA, fill = "grey60", size = 0.5, linetype = 1, weight = 1, , alpha = NA) } }) ggplot2/R/position-dodge.r0000644000175100001440000000266212114161113015153 0ustar hornikusers#' Adjust position by dodging overlaps to the side. #' #' @inheritParams position_identity #' @family position adjustments #' @export #' @examples #' \donttest{ #' ggplot(mtcars, aes(x=factor(cyl), fill=factor(vs))) + #' geom_bar(position="dodge") #' ggplot(diamonds, aes(x=price, fill=cut)) + geom_bar(position="dodge") #' # see ?geom_boxplot and ?geom_bar for more examples #' #' # Dodging things with different widths is tricky #' df <- data.frame(x=c("a","a","b","b"), y=1:4, g = rep(1:2, 2)) #' (p <- qplot(x, y, data=df, group=g, position="dodge", geom="bar", #' stat="identity")) #' #' p + geom_linerange(aes(ymin = y-1, ymax = y+1), position="dodge") #' # You need to explicitly specify the width for dodging #' p + geom_linerange(aes(ymin = y-1, ymax = y+1), #' position = position_dodge(width = 0.9)) #' #' # Similarly with error bars: #' p + geom_errorbar(aes(ymin = y-1, ymax = y+1), width = 0.2, #' position="dodge") #' p + geom_errorbar(aes(ymin = y-1, ymax = y+1, width = 0.2), #' position = position_dodge(width = 0.90)) #' } position_dodge <- function (width = NULL, height = NULL) { PositionDodge$new(width = width, height = height) } PositionDodge <- proto(Position, { objname <- "dodge" adjust <- function(., data) { if (empty(data)) return(data.frame()) check_required_aesthetics("x", names(data), "position_dodge") collide(data, .$width, .$my_name(), pos_dodge, check.width = FALSE) } }) ggplot2/R/geom-point-jitter.r0000644000175100001440000000307012114160774015612 0ustar hornikusers#' Points, jittered to reduce overplotting. #' #' The jitter geom is a convenient default for geom_point with position = #' 'jitter'. See \code{\link{position_jitter}} to see how to adjust amount #' of jittering. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "jitter")} #' #' @inheritParams geom_point #' @seealso #' \code{\link{geom_point}} for regular, unjittered points, #' \code{\link{geom_boxplot}} for another way of looking at the conditional #' distribution of a variable, #' \code{\link{position_jitter}} for examples of using jittering with other #' geoms #' @export #' @examples #' p <- ggplot(mpg, aes(displ, hwy)) #' p + geom_point() #' p + geom_point(position = "jitter") #' #' # Add aesthetic mappings #' p + geom_jitter(aes(colour = cyl)) #' #' # Vary parameters #' p + geom_jitter(position = position_jitter(width = .5)) #' p + geom_jitter(position = position_jitter(height = .5)) #' #' # Use qplot instead #' qplot(displ, hwy, data = mpg, geom = "jitter") #' qplot(class, hwy, data = mpg, geom = "jitter") #' qplot(class, hwy, data = mpg, geom = c("boxplot", "jitter")) #' qplot(class, hwy, data = mpg, geom = c("jitter", "boxplot")) geom_jitter <- function (mapping = NULL, data = NULL, stat = "identity", position = "jitter", na.rm = FALSE, ...) { GeomJitter$new(mapping = mapping, data = data, stat = stat, position = position, na.rm = na.rm, ...) } GeomJitter <- proto(GeomPoint, { objname <- "jitter" default_stat <- function(.) StatIdentity default_pos <- function(.) PositionJitter }) ggplot2/R/coord-fixed.r0000644000175100001440000000306612114161113014431 0ustar hornikusers#' Cartesian coordinates with fixed relationship between x and y scales. #' #' A fixed scale coordinate system forces a specified ratio between the #' physical representation of data units on the axes. The ratio represents the #' number of units on the y-axis equivalent to one unit on the x-axis. The #' default, \code{ratio = 1}, ensures that one unit on the x-axis is the same #' length as one unit on the y-axis. Ratios higher than one make units on the #' y axis longer than units on the x-axis, and vice versa. This is similar to #' \code{\link[MASS]{eqscplot}}, but it works for all types of graphics. #' #' @aliases coord_fixed coord_equal #' @export coord_fixed coord_equal #' @inheritParams coord_cartesian #' @param ratio aspect ratio, expressed as \code{y / x} #' @examples #' # ensures that the ranges of axes are equal to the specified ratio by #' # adjusting the plot aspect ratio #' #' qplot(mpg, wt, data = mtcars) + coord_fixed(ratio = 1) #' qplot(mpg, wt, data = mtcars) + coord_fixed(ratio = 5) #' qplot(mpg, wt, data = mtcars) + coord_fixed(ratio = 1/5) #' #' # Resize the plot to see that the specified aspect ratio is maintained coord_fixed <- function(ratio = 1, xlim = NULL, ylim = NULL, wise = NULL) { if (!is.null(wise)) gg_dep("0.9.0", "wise argument to coord_cartesian is ignored") coord(limits = list(x = xlim, y = ylim), ratio = ratio, subclass = c("fixed", "cartesian")) } coord_equal <- coord_fixed #' @S3method coord_aspect fixed coord_aspect.fixed <- function(coord, ranges) { diff(ranges$y.range) / diff(ranges$x.range) * coord$ratio } ggplot2/R/geom-dotplot.r0000644000175100001440000002612312114161113014637 0ustar hornikusers#' Dot plot #' #' In a dot plot, the width of a dot corresponds to the bin width #' (or maximum width, depending on the binning algorithm), and dots are #' stacked, with each dot representing one observation. #' #' With dot-density binning, the bin positions are determined by the data and #' \code{binwidth}, which is the maximum width of each bin. See Wilkinson #' (1999) for details on the dot-density binning algorithm. #' #' With histodot binning, the bins have fixed positions and fixed widths, much #' like a histogram. #' #' When binning along the x axis and stacking along the y axis, the numbers on #' y axis are not meaningful, due to technical limitations of ggplot2. You can #' hide the y axis, as in one of the examples, or manually scale it #' to match the number of dots. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "dotplot")} #' #' @inheritParams geom_point #' @param binaxis which axis to bin along "x" (default) or "y" #' @param method "dotdensity" (default) for dot-density binning, or #' "histodot" for fixed bin widths (like stat_bin) #' @param binwidth When \code{method} is "dotdensity", this specifies maximum bin width. #' When method is "histodot", this specifies bin width. #' Defaults to 1/30 of the range of the data #' @param binpositions When \code{method} is "dotdensity", "bygroup" (default) #' determines positions of the bins for each group separately. "all" determines #' positions of the bins with all the data taken together; this is used for #' aligning dot stacks across multiple groups. #' @param stackdir which direction to stack the dots. "up" (default), #' "down", "center", "centerwhole" (centered, but with dots aligned) #' @param stackratio how close to stack the dots. Default is 1, where dots just #' just touch. Use smaller values for closer, overlapping dots. #' @param dotsize The diameter of the dots relative to \code{binwidth}, default 1. #' @param stackgroups should dots be stacked across groups? This has the effect #' that \code{position = "stack"} should have, but can't (because this geom has #' some odd properties). #' @export #' #' @references Wilkinson, L. (1999) Dot plots. The American Statistician, #' 53(3), 276-281. #' #' @examples #' #' ggplot(mtcars, aes(x = mpg)) + geom_dotplot() #' ggplot(mtcars, aes(x = mpg)) + geom_dotplot(binwidth = 1.5) #' #' # Use fixed-width bins #' ggplot(mtcars, aes(x = mpg)) + #' geom_dotplot(method="histodot", binwidth = 1.5) #' #' # Some other stacking methods #' ggplot(mtcars, aes(x = mpg)) + #' geom_dotplot(binwidth = 1.5, stackdir = "center") #' ggplot(mtcars, aes(x = mpg)) + #' geom_dotplot(binwidth = 1.5, stackdir = "centerwhole") #' #' # y axis isn't really meaningful, so hide it #' ggplot(mtcars, aes(x = mpg)) + geom_dotplot(binwidth = 1.5) + #' scale_y_continuous(name = "", breaks = NA) #' #' # Overlap dots vertically #' ggplot(mtcars, aes(x = mpg)) + geom_dotplot(binwidth = 1.5, stackratio = .7) #' #' # Expand dot diameter #' ggplot(mtcars, aes(x =mpg)) + geom_dotplot(binwidth = 1.5, dotsize = 1.25) #' #' #' # Examples with stacking along y axis instead of x #' ggplot(mtcars, aes(x = 1, y = mpg)) + #' geom_dotplot(binaxis = "y", stackdir = "center") #' #' ggplot(mtcars, aes(x = factor(cyl), y = mpg)) + #' geom_dotplot(binaxis = "y", stackdir = "center") #' #' ggplot(mtcars, aes(x = factor(cyl), y = mpg)) + #' geom_dotplot(binaxis = "y", stackdir = "centerwhole") #' #' ggplot(mtcars, aes(x = factor(vs), fill = factor(cyl), y = mpg)) + #' geom_dotplot(binaxis = "y", stackdir = "center", position = "dodge") #' #' # binpositions="all" ensures that the bins are aligned between groups #' ggplot(mtcars, aes(x = factor(am), y = mpg)) + #' geom_dotplot(binaxis = "y", stackdir = "center", binpositions="all") #' #' # Stacking multiple groups, with different fill #' ggplot(mtcars, aes(x = mpg, fill = factor(cyl))) + #' geom_dotplot(stackgroups = TRUE, binwidth = 1, binpositions = "all") #' #' ggplot(mtcars, aes(x = mpg, fill = factor(cyl))) + #' geom_dotplot(stackgroups = TRUE, binwidth = 1, method = "histodot") #' #' ggplot(mtcars, aes(x = 1, y = mpg, fill = factor(cyl))) + #' geom_dotplot(binaxis = "y", stackgroups = TRUE, binwidth = 1, method = "histodot") #' geom_dotplot <- function (mapping = NULL, data = NULL, stat = "bindot", position = "identity", na.rm = FALSE, binwidth = NULL, binaxis = "x", method="dotdensity", binpositions = "bygroup", stackdir = "up", stackratio = 1, dotsize = 1, stackgroups = FALSE, ...) { GeomDotplot$new(mapping = mapping, data = data, stat = stat, position = position, na.rm = na.rm, binwidth = binwidth, binaxis = binaxis, method = method, binpositions = binpositions, stackdir = stackdir, stackratio = stackratio, dotsize = dotsize, stackgroups = stackgroups, ...) } GeomDotplot <- proto(Geom, { objname <- "dotplot" new <- function(., mapping = NULL, data = NULL, stat = NULL, position = NULL, ...){ # This code is adapted from Layer$new. It's needed to pull out the stat_params # and geom_params, then manually add binaxis to both sets of params. Otherwise # Layer$new will give binaxis only to the geom. stat <- Stat$find(stat) match.params <- function(possible, params) { if ("..." %in% names(possible)) { params } else { params[match(names(possible), names(params), nomatch = 0)] } } params <- list(...) # American names must be changed here so that they'll go to geom_params; # otherwise they'll end up in stat_params params <- rename_aes(params) geom_params <- match.params(.$parameters(), params) stat_params <- match.params(stat$parameters(), params) stat_params <- stat_params[setdiff(names(stat_params), names(geom_params))] # Add back binaxis stat_params <- c(stat_params, binaxis=params$binaxis) # If identical(position, "stack") or position is position_stack() (the test # is kind of complex), tell them to use stackgroups=TRUE instead. Need to # use identical() instead of ==, because == will fail if object is # position_stack() or position_dodge() if (!is.null(position) && (identical(position, "stack") || (is.proto(position) && position$objname == "stack"))) message("position=\"stack\" doesn't work properly with geom_dotplot. Use stackgroups=TRUE instead.") if (params$stackgroups && params$method == "dotdensity" && params$binpositions == "bygroup") message('geom_dotplot called with stackgroups=TRUE and method="dotdensity". You probably want to set binpositions="all"') do.call("layer", list(mapping = mapping, data = data, stat = stat, geom = ., position = position, geom_params = geom_params, stat_params = stat_params, ...)) } reparameterise <- function(., df, params) { df$width <- df$width %||% params$width %||% (resolution(df$x, FALSE) * 0.9) # Set up the stacking function and range if(params$stackdir == "up") { stackdots <- function(a) a - .5 stackaxismin <- 0 stackaxismax <- 1 } else if (params$stackdir == "down") { stackdots <- function(a) -a + .5 stackaxismin <- -1 stackaxismax <- 0 } else if (params$stackdir == "center") { stackdots <- function(a) a - 1 - max(a - 1) / 2 stackaxismin <- -.5 stackaxismax <- .5 } else if (params$stackdir == "centerwhole") { stackdots <- function(a) a - 1 - floor(max(a - 1) / 2) stackaxismin <- -.5 stackaxismax <- .5 } # Fill the bins: at a given x (or y), if count=3, make 3 entries at that x df <- df[rep(1:nrow(df), df$count), ] # Next part will set the position of each dot within each stack # If stackgroups=TRUE, split only on x (or y) and panel; if not stacking, also split by group plyvars <- c(params$binaxis, "PANEL") if (!params$stackgroups) plyvars <- c(plyvars, "group") # Within each x, or x+group, set countidx=1,2,3, and set stackpos according to stack function df <- ddply(df, plyvars, function(xx) { xx$countidx <- 1:nrow(xx) xx$stackpos <- stackdots(xx$countidx) xx }) # Set the bounding boxes for the dots if (params$binaxis == "x") { # ymin, ymax, xmin, and xmax define the bounding rectangle for each stack # Can't do bounding box per dot, because y position isn't real. # After position code is rewritten, each dot should have its own bounding box. df$xmin <- df$x - df$binwidth / 2 df$xmax <- df$x + df$binwidth / 2 df$ymin <- stackaxismin df$ymax <- stackaxismax df$y <- 0 } else if (params$binaxis == "y") { # ymin, ymax, xmin, and xmax define the bounding rectangle for each stack # Can't do bounding box per dot, because x position isn't real. # xmin and xmax aren't really the x bounds, because of the odd way the grob # works. They're just set to the standard x +- width/2 so that dot clusters # can be dodged like other geoms. # After position code is rewritten, each dot should have its own bounding box. df <- ddply(df, .(group), transform, ymin = min(y) - binwidth[1] / 2, ymax = max(y) + binwidth[1] / 2) df$xmin <- df$x + df$width * stackaxismin df$xmax <- df$x + df$width * stackaxismax # Unlike with y above, don't change x because it will cause problems with dodging } df } draw <- function(., data, scales, coordinates, na.rm = FALSE, binaxis = "x", stackdir = "up", stackratio = 1, dotsize = 1, stackgroups = FALSE, ...) { data <- remove_missing(data, na.rm, c("x", "y", "size", "shape"), name = "geom_dotplot") if (empty(data)) return(zeroGrob()) if (!is.linear(coordinates)) { warning("geom_dotplot does not work properly with non-linear coordinates.") } tdata <- coord_transform(coordinates, data, scales) # Swap axes if using coord_flip if ("flip" %in% attr(coordinates, "class")) binaxis <- ifelse (binaxis == "x", "y", "x") if (binaxis == "x") { stackaxis = "y" dotdianpc <- dotsize * tdata$binwidth[1] / (max(scales$x.range) - min(scales$x.range)) } else if (binaxis == "y") { stackaxis = "x" dotdianpc <- dotsize * tdata$binwidth[1] / (max(scales$y.range) - min(scales$y.range)) } ggname(.$my_name(), dotstackGrob(stackaxis = stackaxis, x = tdata$x, y = tdata$y, dotdia = dotdianpc, stackposition = tdata$stackpos, stackratio = stackratio, default.units = "npc", gp = gpar(col = alpha(tdata$colour, tdata$alpha), fill = alpha(tdata$fill, tdata$alpha))) ) } guide_geom <- function(.) "dotplot" draw_legend <- function(., data, ...) { data$shape <- 21 data <- aesdefaults(data, .$default_aes(), list(...)) with(data, pointsGrob(0.5, 0.5, size = unit(.5, "npc"), pch = shape, gp = gpar( col = alpha(colour, alpha), fill = alpha(fill, alpha)) ) ) } default_stat <- function(.) StatBindot required_aes <- c("x", "y") default_aes <- function(.) aes(y=..count.., colour="black", fill = "black", alpha = NA) }) ggplot2/R/theme.r0000644000175100001440000005553312114161113013336 0ustar hornikusers#' Get, set and update themes. #' #' Use \code{theme_update} to modify a small number of elements of the current #' theme or use \code{theme_set} to completely override it. #' #' @param ... named list of theme settings #' @seealso \code{\link{\%+replace\%}} and \code{\link{+.gg}} #' @export #' @examples #' qplot(mpg, wt, data = mtcars) #' old <- theme_set(theme_bw()) #' qplot(mpg, wt, data = mtcars) #' theme_set(old) #' qplot(mpg, wt, data = mtcars) #' #' old <- theme_update(panel.background = element_rect(colour = "pink")) #' qplot(mpg, wt, data = mtcars) #' theme_set(old) #' theme_get() #' #' qplot(mpg, wt, data=mtcars, colour=mpg) + #' theme(legend.position=c(0.95, 0.95), legend.justification = c(1, 1)) #' last_plot() + #' theme(legend.background = element_rect(fill = "white", colour = "white", size = 3)) theme_update <- function(...) { # Make a call to theme, then add to theme theme_set(theme_get() %+replace% do.call(theme, list(...))) } #' Reports whether x is a theme object #' @param x An object to test #' @export is.theme <- function(x) inherits(x, "theme") #' @S3method print theme print.theme <- function(x, ...) str(x) #' Set theme elements #' #' #' Use this function to modify theme settings. #' #' Theme elements can inherit properties from other theme elements. #' For example, \code{axis.title.x} inherits from \code{axis.title}, #' which in turn inherits from \code{text}. All text elements inherit #' directly or indirectly from \code{text}; all lines inherit from #' \code{line}, and all rectangular objects inherit from \code{rect}. #' #' For more examples of modifying properties using inheritance, see #' \code{\link{+.gg}} and \code{\link{\%+replace\%}}. #' #' To see a graphical representation of the inheritance tree, see the #' last example below. #' #' @section Theme elements: #' The individual theme elements are: #' #' \tabular{ll}{ #' line \tab all line elements #' (\code{element_line}) \cr #' rect \tab all rectangluar elements #' (\code{element_rect}) \cr #' text \tab all text elements #' (\code{element_text}) \cr #' title \tab all title elements: plot, axes, legends #' (\code{element_text}; inherits from \code{text}) \cr #' #' axis.title \tab label of axes #' (\code{element_text}; inherits from \code{text}) \cr #' axis.title.x \tab x axis label #' (\code{element_text}; inherits from \code{axis.title}) \cr #' axis.title.y \tab y axis label #' (\code{element_text}; inherits from \code{axis.title}) \cr #' axis.text \tab tick labels along axes #' (\code{element_text}; inherits from \code{text}) \cr #' axis.text.x \tab x axis tick labels #' (\code{element_text}; inherits from \code{axis.text}) \cr #' axis.text.y \tab y axis tick labels #' (\code{element_text}; inherits from \code{axis.text}) \cr #' axis.ticks \tab tick marks along axes #' (\code{element_line}; inherits from \code{line}) \cr #' axis.ticks.x \tab x axis tick marks #' (\code{element_line}; inherits from \code{axis.ticks}) \cr #' axis.ticks.y \tab y axis tick marks #' (\code{element_line}; inherits from \code{axis.ticks}) \cr #' axis.ticks.length \tab length of tick marks #' (\code{unit}) \cr #' axis.ticks.margin \tab space between tick mark and tick label #' (\code{unit}) \cr #' axis.line \tab lines along axes #' (\code{element_line}; inherits from \code{line}) \cr #' axis.line.x \tab line along x axis #' (\code{element_line}; inherits from \code{axis.line}) \cr #' axis.line.y \tab line along y axis #' (\code{element_line}; inherits from \code{axis.line}) \cr #' #' legend.background \tab background of legend #' (\code{element_rect}; inherits from \code{rect}) \cr #' legend.margin \tab extra space added around legend #' (\code{unit}) \cr #' legend.key \tab background underneath legend keys #' (\code{element_rect}; inherits from \code{rect}) \cr #' legend.key.size \tab size of legend keys #' (\code{unit}; inherits from \code{legend.key.size}) \cr #' legend.key.height \tab key background height #' (\code{unit}; inherits from \code{legend.key.size}) \cr #' legend.key.width \tab key background width #' (\code{unit}; inherits from \code{legend.key.size}) \cr #' legend.text \tab legend item labels #' (\code{element_text}; inherits from \code{text}) \cr #' legend.text.align \tab alignment of legend labels #' (number from 0 (left) to 1 (right)) \cr #' legend.title \tab title of legend #' (\code{element_text}; inherits from \code{title}) \cr #' legend.title.align \tab alignment of legend title #' (number from 0 (left) to 1 (right)) \cr #' legend.position \tab the position of legends. #' ("left", "right", "bottom", "top", or two-element #' numeric vector) \cr #' legend.direction \tab layout of items in legends #' ("horizontal" or "vertical") \cr #' legend.justification \tab anchor point for positioning legend inside plot #' ("center" or two-element numeric vector) \cr #' legend.box \tab arrangement of multiple legends #' ("horizontal" or "vertical") \cr #' legend.box.just \tab justification of each legend within the overall #' bounding box, when there are multiple legends #' ("top", "bottom", "left", or "right")\cr #' #' panel.background \tab background of plotting area, drawn underneath plot #' (\code{element_rect}; inherits from \code{rect}) \cr #' panel.border \tab border around plotting area, drawn on top of plot #' so that it covers tick marks and grid lines. This should #' be used with \code{fill=NA} #' (\code{element_rect}; inherits from \code{rect}) \cr #' panel.margin \tab margin around facet panels #' (\code{unit}) \cr #' panel.grid \tab grid lines #' (\code{element_line}; inherits from \code{line}) \cr #' panel.grid.major \tab major grid lines #' (\code{element_line}; inherits from \code{panel.grid}) \cr #' panel.grid.minor \tab minor grid lines #' (\code{element_line}; inherits from \code{panel.grid}) \cr #' panel.grid.major.x \tab vertical major grid lines #' (\code{element_line}; inherits from \code{panel.grid.major}) \cr #' panel.grid.major.y \tab horizontal major grid lines #' (\code{element_line}; inherits from \code{panel.grid.major}) \cr #' panel.grid.minor.x \tab vertical minor grid lines #' (\code{element_line}; inherits from \code{panel.grid.minor}) \cr #' panel.grid.minor.y \tab horizontal minor grid lines #' (\code{element_line}; inherits from \code{panel.grid.minor}) \cr #' #' plot.background \tab background of the entire plot #' (\code{element_rect}; inherits from \code{rect}) \cr #' plot.title \tab plot title (text appearance) #' (\code{element_text}; inherits from \code{title}) \cr #' plot.margin \tab margin around entire plot #' (\code{unit} with the sizes of the top, right, bottom, and #' left margins) \cr #' #' strip.background \tab background of facet labels #' (\code{element_rect}; inherits from \code{rect}) \cr #' strip.text \tab facet labels #' (\code{element_text}; inherits from \code{text}) \cr #' strip.text.x \tab facet labels along horizontal direction #' (\code{element_text}; inherits from \code{strip.text}) \cr #' strip.text.y \tab facet labels along vertical direction #' (\code{element_text}; inherits from \code{strip.text}) \cr #' } #' #' @param ... a list of element name, element pairings that modify the #' existing theme. #' @param complete set this to TRUE if this is a complete theme, such as #' the one returned \code{by theme_grey()}. Complete themes behave #' differently when added to a ggplot object. #' #' @seealso \code{\link{+.gg}} #' @seealso \code{\link{\%+replace\%}} #' @seealso \code{\link{rel}} #' @export #' @examples #' \donttest{ #' p <- qplot(mpg, wt, data = mtcars) #' p #' p + theme(panel.background = element_rect(colour = "pink")) #' p + theme_bw() #' #' # Scatter plot of gas mileage by vehicle weight #' p <- ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point() #' # Calculate slope and intercept of line of best fit #' coef(lm(mpg ~ wt, data = mtcars)) #' p + geom_abline(intercept = 37, slope = -5) #' # Calculate correlation coefficient #' with(mtcars, cor(wt, mpg, use = "everything", method = "pearson")) #' #annotate the plot #' p + geom_abline(intercept = 37, slope = -5) + #' geom_text(data = data.frame(), aes(4.5, 30, label = "Pearson-R = -.87")) #' #' # Change the axis labels #' # Original plot #' p #' p + xlab("Vehicle Weight") + ylab("Miles per Gallon") #' # Or #' p + labs(x = "Vehicle Weight", y = "Miles per Gallon") #' #' # Change title appearance #' p <- p + labs(title = "Vehicle Weight-Gas Mileage Relationship") #' # Set title to twice the base font size #' p + theme(plot.title = element_text(size = rel(2))) #' p + theme(plot.title = element_text(size = rel(2), colour = "blue")) #' #' # Changing plot look with themes #' DF <- data.frame(x = rnorm(400)) #' m <- ggplot(DF, aes(x = x)) + geom_histogram() #' # Default is theme_grey() #' m #' # Compare with #' m + theme_bw() #' #' # Manipulate Axis Attributes #' library(grid) # for unit #' m + theme(axis.line = element_line(size = 3, colour = "red", linetype = "dotted")) #' m + theme(axis.text = element_text(colour = "blue")) #' m + theme(axis.text.y = element_blank()) #' m + theme(axis.ticks = element_line(size = 2)) #' m + theme(axis.title.y = element_text(size = rel(1.5), angle = 90)) #' m + theme(axis.title.x = element_blank()) #' m + theme(axis.ticks.length = unit(.85, "cm")) #' #' # Legend Attributes #' z <- ggplot(mtcars, aes(wt, mpg, colour = factor(cyl))) + geom_point() #' z #' z + theme(legend.position = "none") #' z + theme(legend.position = "bottom") #' # Or use relative coordinates between 0 and 1 #' z + theme(legend.position = c(.5, .5)) # # Add a border to the whole legend #' z + theme(legend.background = element_rect(colour = "black")) #' # Legend margin controls extra space around outside of legend: #' z + theme(legend.background = element_rect(), legend.margin = unit(1, "cm")) #' z + theme(legend.background = element_rect(), legend.margin = unit(0, "cm")) #' # Or to just the keys #' z + theme(legend.key = element_rect(colour = "black")) #' z + theme(legend.key = element_rect(fill = "yellow")) #' z + theme(legend.key.size = unit(2.5, "cm")) #' z + theme(legend.text = element_text(size = 20, colour = "red", angle = 45)) #' z + theme(legend.title = element_text(face = "italic")) #' #' # To change the title of the legend use the name argument #' # in one of the scale options #' z + scale_colour_brewer(name = "My Legend") #' z + scale_colour_grey(name = "Number of \nCylinders") #' #' # Panel and Plot Attributes #' z + theme(panel.background = element_rect(fill = "black")) #' z + theme(panel.border = element_rect(linetype = "dashed", colour = "black")) #' z + theme(panel.grid.major = element_line(colour = "blue")) #' z + theme(panel.grid.minor = element_line(colour = "red", linetype = "dotted")) #' z + theme(panel.grid.major = element_line(size = 2)) #' z + theme(panel.grid.major.y = element_blank(), panel.grid.minor.y = element_blank()) #' z + theme(plot.background = element_rect()) #' z + theme(plot.background = element_rect(fill = "green")) #' #' # Faceting Attributes #' set.seed(4940) #' dsmall <- diamonds[sample(nrow(diamonds), 1000), ] #' k <- ggplot(dsmall, aes(carat, ..density..)) + geom_histogram(binwidth = 0.2) + #' facet_grid(. ~ cut) #' k + theme(strip.background = element_rect(colour = "purple", fill = "pink", #' size = 3, linetype = "dashed")) #' k + theme(strip.text.x = element_text(colour = "red", angle = 45, size = 10, #' hjust = 0.5, vjust = 0.5)) #' k + theme(panel.margin = unit(5, "lines")) #' k + theme(panel.margin = unit(0, "lines")) #' #' #' # Modify a theme and save it #' mytheme <- theme_grey() + theme(plot.title = element_text(colour = "red")) #' p + mytheme #' #' #' ## Run this to generate a graph of the element inheritance tree #' build_element_graph <- function(tree) { #' require(igraph) #' require(plyr) #' #' inheritdf <- function(name, item) { #' if (length(item$inherit) == 0) #' data.frame() #' else #' data.frame(child = name, parent = item$inherit) #' } #' #' edges <- rbind.fill(mapply(inheritdf, names(tree), tree)) #' #' # Explicitly add vertices (since not all are in edge list) #' vertices <- data.frame(name = names(tree)) #' graph.data.frame(edges, vertices = vertices) #' } #' #' g <- build_element_graph(ggplot2:::.element_tree) #' V(g)$label <- V(g)$name #' #' set.seed(324) #' par(mar=c(0,0,0,0)) # Remove unnecessary margins #' plot(g, layout=layout.fruchterman.reingold, vertex.size=4, vertex.label.dist=.25) #' #' } theme <- function(..., complete = FALSE) { elements <- list(...) # Check that all elements have the correct class (element_text, unit, etc) mapply(validate_element, elements, names(elements)) structure(elements, class = c("theme", "gg"), complete = complete) } #' Build a theme (or partial theme) from theme elements #' #' \code{opts} is deprecated. See the \code{\link{theme}} function. #' @param ... Arguments to be passed on to the \code{theme} function. #' #' @export opts <- function(...) { gg_dep("0.9.1", "'opts' is deprecated. Use 'theme' instead.") # Add check for deprecated elements extra <- NULL elements <- list(...) if (!is.null(elements[["title"]])) { # This is kind of a hack, but fortunately it will be removed in future versions gg_dep("0.9.1", paste(sep = "\n", 'Setting the plot title with opts(title="...") is deprecated.', ' Use labs(title="...") or ggtitle("...") instead.')) title <- elements$title elements$title <- NULL return(list(ggtitle(title), do.call(theme, elements))) } do.call(theme, elements) } # Combine plot defaults with current theme to get complete theme for a plot plot_theme <- function(x) { defaults(x$theme, theme_get()) } .theme <- (function() { theme <- theme_gray() list( get = function() theme, set = function(new) { missing <- setdiff(names(theme_gray()), names(new)) if (length(missing) > 0) { warning("New theme missing the following elements: ", paste(missing, collapse = ", "), call. = FALSE) } old <- theme theme <<- new invisible(old) } ) })() #' @rdname theme_update #' @export theme_get <- .theme$get #' @rdname theme_update #' @param new new theme (a list of theme elements) #' @export theme_set <- .theme$set #' @rdname gg-add #' @export "%+replace%" <- function(e1, e2) { if (!is.theme(e1) || !is.theme(e2)) { stop("%+replace% requires two theme objects", call. = FALSE) } # Can't use modifyList here since it works recursively and drops NULLs e1[names(e2)] <- e2 e1 } #' Modify properties of an element in a theme object #' #' @param t1 A theme object #' @param t2 A theme object that is to be added to \code{t1} #' @param t2name A name of the t2 object. This is used for printing #' informative error messages. #' #' @seealso +.gg #' add_theme <- function(t1, t2, t2name) { if (!is.theme(t2)) { stop("Don't know how to add ", t2name, " to a theme object", call. = FALSE) } # Iterate over the elements that are to be updated for (item in names(t2)) { x <- t1[[item]] y <- t2[[item]] if (is.null(x) || inherits(x, "element_blank")) { # If x is NULL or element_blank, then just assign it y x <- y } else if (is.null(y) || is.character(y) || is.numeric(y) || inherits(y, "element_blank")) { # If y is NULL, or a string or numeric vector, or is element_blank, just replace x x <- y } else { # If x is not NULL, then copy over the non-NULL properties from y # Get logical vector of non-NULL properties in y idx <- !vapply(y, is.null, logical(1)) # Get the names of TRUE items idx <- names(idx[idx]) # Update non-NULL items x[idx] <- y[idx] } # Assign it back to t1 # This is like doing t1[[item]] <- x, except that it preserves NULLs. # The other form will simply drop NULL values t1[item] <- list(x) } # If either theme is complete, then the combined theme is complete attr(t1, "complete") <- attr(t1, "complete") || attr(t2, "complete") t1 } # Update a theme from a plot object # # This is called from add_ggplot. # # If newtheme is a *complete* theme, then it is meant to replace # oldtheme; this function just returns newtheme. # # Otherwise, it adds elements from newtheme to oldtheme: # If oldtheme doesn't already contain those elements, # it searches the current default theme, grabs the elements with the # same name as those from newtheme, and puts them in oldtheme. Then # it adds elements from newtheme to oldtheme. # This makes it possible to do things like: # qplot(1:3, 1:3) + theme(text = element_text(colour = 'red')) # and have 'text' keep properties from the default theme. Otherwise # you would have to set all the element properties, like family, size, # etc. # # @param oldtheme an existing theme, usually from a plot object, like # plot$theme. This could be an empty list. # @param newtheme a new theme object to add to the existing theme update_theme <- function(oldtheme, newtheme) { # If the newtheme is a complete one, don't bother searching # the default theme -- just replace everything with newtheme if (attr(newtheme, "complete")) return(newtheme) # These are elements in newtheme that aren't already set in oldtheme. # They will be pulled from the default theme. newitems <- ! names(newtheme) %in% names(oldtheme) newitem_names <- names(newtheme)[newitems] oldtheme[newitem_names] <- theme_get()[newitem_names] # Update the theme elements with the things from newtheme # Turn the 'theme' list into a proper theme object first, and preserve # the 'complete' attribute. It's possible that oldtheme is an empty # list, and in that case, set complete to FALSE. oldtheme <- do.call(theme, c(oldtheme, complete = isTRUE(attr(oldtheme, "complete")))) oldtheme + newtheme } ##' Update contents of a theme. (Deprecated) ##' ##' This function is deprecated. Use \code{\link{\%+replace\%}} or ##' \code{\link{+.gg}} instead. ##' ##' @title Update theme param ##' @param name name of a theme element ##' @param ... Pairs of name and value of theme parameters. ##' @return Updated theme element ##' @seealso \code{\link{\%+replace\%}} and \code{\link{+.gg}} ##' @export ##' @examples ##' \dontrun{ ##' x <- element_text(size = 15) ##' update_element(x, colour = "red") ##' # Partial matching works ##' update_element(x, col = "red") ##' # So does positional ##' update_element(x, "Times New Roman") ##' # And it throws an error if you use an argument that doesn't exist ##' update_element(x, noargument = 12) ##' # Or multiple arguments with the same name ##' update_element(x, size = 12, size = 15) ##' ##' # Will look up element if given name ##' update_element("axis.text.x", colour = 20) ##' # Throws error if incorrectly named ##' update_element("axis.text", colour = 20) ##' } update_element <- function(name, ...) { gg_dep("0.9.1", "update_element is deprecated. Use '+.gg' instead.") if (is.character(name)) { ele <- theme_get()[[name]] if (is.null(ele)) { stop("Could not find theme element ", name, call. = FALSE) } } else { ele <- name } stopifnot(inherits(ele, "element")) modifyList(ele, list(...)) } #' Calculate the element properties, by inheriting properties from its parents #' #' @param element The name of the theme element to calculate #' @param theme A theme object (like theme_grey()) #' @param verbose If TRUE, print out which elements this one inherits from #' @examples #' t <- theme_grey() #' calc_element('text', t) #' #' # Compare the "raw" element definition to the element with calculated inheritance #' t$axis.text.x #' calc_element('axis.text.x', t, verbose = TRUE) #' #' # This reports that axis.text.x inherits from axis.text, #' # which inherits from text. You can view each of them with: #' t$axis.text.x #' t$axis.text #' t$text #' #' @export calc_element <- function(element, theme, verbose = FALSE) { if (verbose) message(element, " --> ", appendLF = FALSE) # If this is element_blank, don't inherit anything from parents if (inherits(theme[[element]], "element_blank")) { if (verbose) message("element_blank (no inheritance)") return(theme[[element]]) } # If the element is defined (and not just inherited), check that # it is of the class specified in .element_tree if (!is.null(theme[[element]]) && !inherits(theme[[element]], .element_tree[[element]]$class)) { stop(element, " should have class ", .element_tree[[element]]$class) } # Get the names of parents from the inheritance tree pnames <- .element_tree[[element]]$inherit # If no parents, this is a "root" node. Just return this element. if (is.null(pnames)) { # Check that all the properties of this element are non-NULL nullprops <- vapply(theme[[element]], is.null, logical(1)) if (any(nullprops)) { stop("Theme element '", element, "' has NULL property: ", paste(names(nullprops)[nullprops], collapse = ", ")) } if (verbose) message("nothing (top level)") return(theme[[element]]) } # Calculate the parent objects' inheritance if (verbose) message(paste(pnames, collapse = ", ")) parents <- lapply(pnames, calc_element, theme, verbose) # Combine the properties of this element with all parents Reduce(combine_elements, parents, theme[[element]]) } # Combine the properties of two elements # # @param e1 An element object # @param e2 An element object which e1 inherits from combine_elements <- function(e1, e2) { # If e2 is NULL, nothing to inherit if (is.null(e2)) return(e1) # If e1 is NULL, or if e2 is element_blank, inherit everything from e2 if (is.null(e1) || inherits(e2, "element_blank")) return(e2) # If e1 has any NULL properties, inherit them from e2 n <- vapply(e1[names(e2)], is.null, logical(1)) e1[n] <- e2[n] # Calculate relative sizes if (is.rel(e1$size)) { e1$size <- e2$size * unclass(e1$size) } e1 } ggplot2/R/aes-colour-fill-alpha.r0000644000175100001440000000414212114160774016316 0ustar hornikusers#' Colour related aesthetics: colour, fill and alpha #' #' This page demonstrates the usage of a sub-group #' of aesthetics; colour, fill and alpha. #' #' @name aes_colour_fill_alpha #' @aliases colour color fill alpha #' @examples #' \donttest{ #' #' # Bar chart example #' c <- ggplot(mtcars, aes(factor(cyl))) #' # Default plotting #' c + geom_bar() #' # To change the interior colouring use fill aesthetic #' c + geom_bar(fill = "red") #' # Compare with the colour aesthetic which changes just the bar outline #' c + geom_bar(colour = "red") #' # Combining both, you can see the changes more clearly #' c + geom_bar(fill = "white", colour = "red") #' #' # The aesthetic fill also takes different colouring scales #' # setting fill equal to a factor varible uses a discrete colour scale #' k <- ggplot(mtcars, aes(factor(cyl), fill = factor(vs))) #' k + geom_bar() #' #' # Fill aesthetic can also be used with a continuous variable #' m <- ggplot(movies, aes(x = rating)) #' m + geom_histogram() #' m + geom_histogram(aes(fill = ..count..)) #' #' # Some geoms don't use both aesthetics (i.e. geom_point or geom_line) #' b <- ggplot(economics, aes(x = date, y = unemploy)) #' b + geom_line() #' b + geom_line(colour = "green") #' b + geom_point() #' b + geom_point(colour = "red") #' #' # For large datasets with overplotting the alpha #' # aesthetic will make the points more transparent #' df <- data.frame(x = rnorm(5000), y = rnorm(5000)) #' h <- ggplot(df, aes(x,y)) #' h + geom_point() #' h + geom_point(alpha = 0.5) #' h + geom_point(alpha = 1/10) #' #' #If a geom uses both fill and colour, alpha will only modify the fill colour #' c + geom_bar(fill = "dark grey", colour = "black") #' c + geom_bar(fill = "dark grey", colour = "black", alpha = 1/3) #' #' # Alpha can also be used to add shading #' j <- b + geom_line() #' j #' yrng <- range(economics$unemploy) #' j <- j + geom_rect(aes(NULL, NULL, xmin = start, xmax = end, fill = party), #' ymin = yrng[1], ymax = yrng[2], data = presidential) #' j #' library(scales) # to access the alpha function #' j + scale_fill_manual(values = alpha(c("blue", "red"), .3)) #' } NULL ggplot2/R/geom-defaults.r0000644000175100001440000000142012114160774014766 0ustar hornikusers#' Modify geom/stat aesthetic defaults for future plots #' #' @param stat,geom name of geom/stat to modify #' @param new named list of aesthetics #' @export #' @examples #' update_geom_defaults("point", list(colour = "darkblue")) #' qplot(mpg, wt, data = mtcars) #' update_geom_defaults("point", list(colour = "black")) #' @rdname update_defaults update_geom_defaults <- function(geom, new) { g <- Geom$find(geom) old <- g$default_aes() aes <- defaults(new, old) g$default_aes <- eval(substitute(function(.) aes, list(aes = aes))) } #' @rdname update_defaults #' @export update_stat_defaults <- function(stat, new) { g <- Stat$find(stat) old <- g$default_aes() aes <- defaults(new, old) g$default_aes <- eval(substitute(function(.) aes, list(aes = aes))) } ggplot2/R/annotation-logticks.r0000644000175100001440000002056212114161113016215 0ustar hornikusers#' Annotation: log tick marks #' #' This annotation adds log tick marks with diminishing spacing. #' These tick marks probably make sense only for base 10. #' #' @param base the base of the log (default 10) #' @param sides a string that controls which sides of the plot the log ticks appear on. #' It can be set to a string containing any of \code{"trbl"}, for top, right, #' bottom, and left. #' @param short a \code{unit} object specifying the length of the short tick marks #' @param mid a \code{unit} object specifying the length of the middle tick marks. #' In base 10, these are the "5" ticks. #' @param long a \code{unit} object specifying the length of the long tick marks. #' In base 10, these are the "1" (or "10") ticks. #' @param scaled is the data already log-scaled? This should be \code{TRUE} #' (default) when the data is already transformed with \code{log10()} or when #' using \code{scale_y_log10}. It should be \code{FALSE} when using #' \code{coord_trans(y = "log10")}. #' @param colour Colour of the tick marks. #' @param size Thickness of tick marks, in mm. #' @param linetype Linetype of tick marks (\code{solid}, \code{dashed}, etc.) #' @param alpha The transparency of the tick marks. #' @param color An alias for \code{colour}. #' @param ... Other parameters passed on to the layer #' #' @export #' @seealso \code{\link{scale_y_continuous}}, \code{\link{scale_y_log10}} for log scale #' transformations. #' @seealso \code{\link{coord_trans}} for log coordinate transformations. #' #' @examples #' # Make a log-log plot (without log ticks) #' library(MASS) #' library(scales) #' a <- ggplot(Animals, aes(x = body, y = brain)) + geom_point() + #' scale_x_log10(breaks = trans_breaks("log10", function(x) 10^x), #' labels = trans_format("log10", math_format(10^.x))) + #' scale_y_log10(breaks = trans_breaks("log10", function(x) 10^x), #' labels = trans_format("log10", math_format(10^.x))) + #' theme_bw() #' #' a + annotation_logticks() # Default: log ticks on bottom and left #' a + annotation_logticks(sides = "lr") # Log ticks for y, on left and right #' a + annotation_logticks(sides = "trbl") # All four sides #' #' # Hide the minor grid lines because they don't align with the ticks #' a + annotation_logticks(sides = "trbl") + theme(panel.grid.minor = element_blank()) #' #' #' # Another way to get the same results as 'a' above: log-transform the data before # plotting it. Also hide the minor grid lines. #' b <- ggplot(Animals, aes(x = log10(body), y = log10(brain))) + geom_point() + #' scale_x_continuous(name = "body", labels = math_format(10^.x)) + #' scale_y_continuous(name = "brain", labels = math_format(10^.x)) + #' theme_bw()+ theme(panel.grid.minor = element_blank()) #' #' b + annotation_logticks() #' #' #' # This shows log(x) on the axes #' d <- ggplot(Animals, aes(x = log10(body), y = log10(brain))) + geom_point() + #' theme_bw() #' #' d + annotation_logticks() #' #' #' # Using a coordinate transform requires scaled = FALSE #' t <- ggplot(Animals, aes(x = body, y = brain)) + geom_point() + #' coord_trans(xtrans = "log10", ytrans = "log10") + theme_bw() #' #' t + annotation_logticks(scaled = FALSE) #' #' #' # Change the length of the ticks #' library(grid) #' a + annotation_logticks(short = unit(.5,"mm"), mid = unit(3,"mm"), long = unit(4,"mm")) #' annotation_logticks <- function (base = 10, sides = "bl", scaled = TRUE, short = unit(0.1, "cm"), mid = unit(0.2, "cm"), long = unit(0.3, "cm"), colour = "black", size = 0.5, linetype = 1, alpha = 1, color = NULL, ...) { if (!is.null(color)) colour <- color layer( geom = "logticks", geom_params = list(base = base, sides = sides, raw = raw, scaled = scaled, short = short, mid = mid, long = long, colour = colour, size = size, linetype = linetype, alpha = alpha, ...), stat = "identity", data = data.frame(x = NA), mapping = NULL, inherit.aes = FALSE, show_guide = FALSE ) } GeomLogticks <- proto(Geom, { objname <- "logticks" draw_groups <- function(., data, scales, coordinates, base = 10, sides = "bl", scaled = TRUE, short = unit(0.1, "cm"), mid = unit(0.2, "cm"), long = unit(0.3, "cm"), ...) { ticks <- list() # Convert these units to numbers so that they can be put in data frames short <- convertUnit(short, "cm", valueOnly = TRUE) mid <- convertUnit(mid, "cm", valueOnly = TRUE) long <- convertUnit(long, "cm", valueOnly = TRUE) if (grepl("[b|t]", sides)) { # Get positions of x tick marks xticks <- calc_logticks(base = base, minpow = floor(scales$x.range[1]), maxpow = ceiling(scales$x.range[2]), start = 0, shortend = short, midend = mid, longend = long) if (scaled) xticks$value <- log(xticks$value, base) names(xticks)[names(xticks)=="value"] <- "x" # Rename to 'x' for coord_transform xticks <- coord_transform(coordinates, xticks, scales) # Make the grobs if(grepl("b", sides)) { ticks$x_b <- with(data, segmentsGrob( x0 = unit(xticks$x, "native"), x1 = unit(xticks$x, "native"), y0 = unit(xticks$start, "cm"), y1 = unit(xticks$end, "cm"), gp = gpar(col = alpha(colour, alpha), lty = linetype, lwd = size * .pt) )) } if(grepl("t", sides)) { ticks$x_t <- with(data, segmentsGrob( x0 = unit(xticks$x, "native"), x1 = unit(xticks$x, "native"), y0 = unit(1, "npc") - unit(xticks$start, "cm"), y1 = unit(1, "npc") - unit(xticks$end, "cm"), gp = gpar(col = alpha(colour, alpha), lty = linetype, lwd = size * .pt) )) } } if (grepl("[l|r]", sides)) { yticks <- calc_logticks(base = base, minpow = floor(scales$y.range[1]), maxpow = ceiling(scales$y.range[2]), start = 0, shortend = short, midend = mid, longend = long) if (scaled) yticks$value <- log(yticks$value, base) names(yticks)[names(yticks)=="value"] <- "y" # Rename to 'y' for coord_transform yticks <- coord_transform(coordinates, yticks, scales) # Make the grobs if(grepl("l", sides)) { ticks$y_l <- with(data, segmentsGrob( y0 = unit(yticks$y, "native"), y1 = unit(yticks$y, "native"), x0 = unit(yticks$start, "cm"), x1 = unit(yticks$end, "cm"), gp = gpar(col = alpha(colour, alpha), lty = linetype, lwd = size * .pt) )) } if(grepl("r", sides)) { ticks$y_r <- with(data, segmentsGrob( y0 = unit(yticks$y, "native"), y1 = unit(yticks$y, "native"), x0 = unit(1, "npc") - unit(yticks$start, "cm"), x1 = unit(1, "npc") - unit(yticks$end, "cm"), gp = gpar(col = alpha(colour, alpha), lty = linetype, lwd = size * .pt) )) } } gTree(children = do.call("gList", ticks)) } default_stat <- function(.) StatIdentity default_aes <- function(.) aes(colour = "black", size = 0.5, linetype = 1, alpha = 1) }) # Calculate the position of log tick marks # Returns data frame with: # - value: the position of the log tick on the data axis, for example 1, 2, ..., 9, 10, 20, ... # - start: on the other axis, start position of the line (usually 0) # - end: on the other axis, end position of the line (for example, .1, .2, or .3) calc_logticks <- function(base = 10, ticks_per_base = base - 1, minpow = 0, maxpow = minpow + 1, start = 0, shortend = .1, midend = .2, longend = .3) { # Number of blocks of tick marks reps <- maxpow - minpow # For base 10: 1, 2, 3, ..., 7, 8, 9, 1, 2, ... ticknums <- rep(seq(1, base-1, length.out = ticks_per_base), reps) # For base 10: 1, 1, 1, ..., 1, 1, 1, 2, 2, ... (for example) powers <- rep(seq(minpow, maxpow-1), each = ticks_per_base) ticks <- ticknums * base^powers ticks <- c(ticks, base^maxpow) # Add the last tick mark # Set all of the ticks short tickend <- rep(shortend, length(ticks)) # Get the position within each cycle, 0, 1, 2, ..., 8, 0, 1, 2. ... cycleIdx <- ticknums - 1 # Set the "major" ticks long tickend[cycleIdx == 0] <- longend # Where to place the longer tick marks that are between each base # For base 10, this will be at each 5 longtick_after_base <- floor(ticks_per_base/2) tickend[ cycleIdx == longtick_after_base ] <- midend tickdf <- data.frame(value = ticks, start = start, end = tickend) return(tickdf) } ggplot2/R/plot-build.r0000644000175100001440000000576112114161113014305 0ustar hornikusers#' Build ggplot for rendering. #' #' This function takes the plot object, and performs all steps necessary to #' produce an object that can be rendered. This function outputs two pieces: #' a list of data frames (one for each layer), and a panel object, which #' contain all information about axis limits, breaks etc. #' #' @param plot ggplot object #' @seealso \code{\link{print.ggplot}} and \code{link{benchplot}} for #' for functions that contain the complete set of steps for generating #' a ggplot2 plot. #' @keywords internal #' @export ggplot_build <- function(plot) { if (length(plot$layers) == 0) stop("No layers in plot", call.=FALSE) plot <- plot_clone(plot) layers <- plot$layers layer_data <- lapply(layers, function(y) y$data) scales <- plot$scales # Apply function to layer and matching data dlapply <- function(f) { out <- vector("list", length(data)) for(i in seq_along(data)) { out[[i]] <- f(d = data[[i]], p = layers[[i]]) } out } # Initialise panels, add extra data for margins & missing facetting # variables, and add on a PANEL variable to data panel <- new_panel() panel <- train_layout(panel, plot$facet, layer_data, plot$data) data <- map_layout(panel, plot$facet, layer_data, plot$data) # Compute aesthetics to produce data with generalised variable names data <- dlapply(function(d, p) p$compute_aesthetics(d, plot)) data <- lapply(data, add_group) # Transform all scales data <- lapply(data, scales_transform_df, scales = scales) # Map and train positions so that statistics have access to ranges # and all positions are numeric scale_x <- function() scales$get_scales("x") scale_y <- function() scales$get_scales("y") panel <- train_position(panel, data, scale_x(), scale_y()) data <- map_position(panel, data, scale_x(), scale_y()) # Apply and map statistics data <- calculate_stats(panel, data, layers) data <- dlapply(function(d, p) p$map_statistic(d, plot)) data <- lapply(data, order_groups) # Make sure missing (but required) aesthetics are added scales_add_missing(plot, c("x", "y")) # Reparameterise geoms from (e.g.) y and width to ymin and ymax data <- dlapply(function(d, p) p$reparameterise(d)) # Apply position adjustments data <- dlapply(function(d, p) p$adjust_position(d)) # Reset position scales, then re-train and map. This ensures that facets # have control over the range of a plot: is it generated from what's # displayed, or does it include the range of underlying data reset_scales(panel) panel <- train_position(panel, data, scale_x(), scale_y()) data <- map_position(panel, data, scale_x(), scale_y()) # Train and map non-position scales npscales <- scales$non_position_scales() if (npscales$n() > 0) { lapply(data, scales_train_df, scales = npscales) data <- lapply(data, scales_map_df, scales = npscales) } # Train coordinate system panel <- train_ranges(panel, plot$coordinates) list(data = data, panel = panel, plot = plot) } ggplot2/R/facet-labels.r0000644000175100001440000000472612114160774014570 0ustar hornikusers#' Label facets with their value. #' This is the default labelling scheme. #' #' @param variable variable name passed in by facetter #' @param value variable value passed in by facetter #' @family facet labellers #' @export #' @examples #' p <- qplot(wt, mpg, data = mtcars) #' p + facet_grid(. ~ cyl) #' p + facet_grid(. ~ cyl, labeller = label_value) label_value <- function(variable, value) as.character(value) #' Label facets with value and variable. #' #' @param variable variable name passed in by facetter #' @param value variable value passed in by facetter #' @family facet labellers #' @export #' @examples #' p <- qplot(wt, mpg, data = mtcars) #' p + facet_grid(. ~ cyl) #' p + facet_grid(. ~ cyl, labeller = label_both) label_both <- function(variable, value) paste(variable, value, sep = ": ") #' Label facets with parsed label. #' #' @seealso \code{\link{plotmath}} #' @param variable variable name passed in by facetter #' @param value variable value passed in by facetter #' @family facet labellers #' @export #' @examples #' mtcars$cyl2 <- factor(mtcars$cyl, labels = c("alpha", "beta", "gamma")) #' qplot(wt, mpg, data = mtcars) + facet_grid(. ~ cyl2) #' qplot(wt, mpg, data = mtcars) + facet_grid(. ~ cyl2, #' labeller = label_parsed) label_parsed <- function(variable, value) { llply(as.character(value), function(x) parse(text = x)) } #' Label facet with 'bquoted' expressions #' #' See \code{\link{bquote}} for details on the syntax of the argument. The #' label value is x. #' #' @param expr labelling expression to use #' @family facet labellers #' @seealso \code{\link{plotmath}} #' @export #' @examples #' p <- qplot(wt, mpg, data = mtcars) #' p + facet_grid(. ~ vs, labeller = label_bquote(alpha ^ .(x))) #' p + facet_grid(. ~ vs, labeller = label_bquote(.(x) ^ .(x))) label_bquote <- function(expr = beta ^ .(x)) { quoted <- substitute(expr) function(variable, value) { value <- as.character(value) lapply(value, function(x) eval(substitute(bquote(expr, list(x = x)), list(expr = quoted)))) } } # Grob for strip labels ggstrip <- function(text, horizontal=TRUE, theme) { text_theme <- if (horizontal) "strip.text.x" else "strip.text.y" if (is.list(text)) text <- text[[1]] label <- element_render(theme, text_theme, text) ggname("strip", absoluteGrob( gList( element_render(theme, "strip.background"), label ), width = grobWidth(label) + unit(0.5, "lines"), height = grobHeight(label) + unit(0.5, "lines") )) } ggplot2/R/coord-flip.r0000644000175100001440000000341612114160774014277 0ustar hornikusers#' Flipped cartesian coordinates. #' #' Flipped cartesian coordinates so that horizontal becomes vertical, and #' vertical, horizontal. This is primarily useful for converting geoms and #' statistics which display y conditional on x, to x conditional on y. #' #' @export #' @param ... Other arguments passed onto \code{\link{coord_cartesian}} #' @examples #' \donttest{ #' # Very useful for creating boxplots, and other interval #' # geoms in the horizontal instead of vertical position. #' qplot(cut, price, data=diamonds, geom="boxplot") #' last_plot() + coord_flip() #' #' qplot(cut, data=diamonds, geom="bar") #' last_plot() + coord_flip() #' #' h <- qplot(carat, data=diamonds, geom="histogram") #' h #' h + coord_flip() #' h + coord_flip() + scale_x_reverse() #' #' # You can also use it to flip lines and area plots: #' qplot(1:5, (1:5)^2, geom="area") #' last_plot() + coord_flip() #' } coord_flip <- function(...) { coord <- coord_cartesian(...) structure(coord, class = c("flip", class(coord))) } flip_labels <- function(x) { old_names <- names(x) new_names <- old_names new_names <- gsub("^x", "z", new_names) new_names <- gsub("^y", "x", new_names) new_names <- gsub("^z", "y", new_names) setNames(x, new_names) } #' @S3method is.linear flip is.linear.flip <- function(coord) TRUE #' @S3method coord_transform flip coord_transform.flip <- function(coord, data, details) { data <- flip_labels(data) NextMethod() } #' @S3method coord_range flip coord_range.flip <- function(coord, scales) { return(list(x = scales$y.range, y = scales$x.range)) } #' @S3method coord_train flip coord_train.flip <- function(coord, scales) { flip_labels(NextMethod()) } #' @S3method coord_labels flip coord_labels.flip <- function(coord, scales) { flip_labels(NextMethod()) } ggplot2/R/stat-binhex.r0000644000175100001440000000551012114160774014464 0ustar hornikusers#' Bin 2d plane into hexagons. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "binhex")} #' #' @seealso \code{\link{stat_bin2d}} for rectangular binning #' @param bins numeric vector specifying number of bins in both x and y #' directions. Set to 30 by default. #' @inheritParams stat_identity #' @param na.rm If \code{FALSE} (the default), removes missing values with #' a warning. If \code{TRUE} silently removes missing values. #' @export #' @examples #' \donttest{ #' d <- ggplot(diamonds, aes(carat, price)) #' d + stat_binhex() #' d + geom_hex() #' #' # You can control the size of the bins by specifying the number of #' # bins in each direction: #' d + stat_binhex(bins = 10) #' d + stat_binhex(bins = 30) #' #' # Or by specifying the width of the bins #' d + stat_binhex(binwidth = c(1, 1000)) #' d + stat_binhex(binwidth = c(.1, 500)) #' #' # With qplot #' qplot(x, y, data = diamonds, geom="hex", xlim = c(4, 10), ylim = c(4, 10)) #' qplot(x, y, data = diamonds, geom="hex", xlim = c(4, 10), ylim = c(4, 10), #' binwidth = c(0.1, 0.1)) #' } stat_binhex <- function (mapping = NULL, data = NULL, geom = "hex", position = "identity", bins = 30, na.rm = FALSE, ...) { StatBinhex$new(mapping = mapping, data = data, geom = geom, position = position, bins = bins, na.rm = na.rm, ...) } StatBinhex <- proto(Stat, { objname <- "binhex" default_aes <- function(.) aes(fill = ..count..) required_aes <- c("x", "y") default_geom <- function(.) GeomHex calculate <- function(., data, scales, binwidth = NULL, bins = 30, na.rm = FALSE, ...) { try_require("hexbin") data <- remove_missing(data, na.rm, c("x", "y"), name="stat_hexbin") if (is.null(binwidth)) { binwidth <- c( diff(scale_dimension(scales$x, c(0, 0))) / bins, diff(scale_dimension(scales$y, c(0, 0))) / bins ) } hexBin(data$x, data$y, binwidth) } }) # Bin 2d plane into hexagons # Wrapper around \code{\link[hexbin]{hcell2xy}} that returns a data frame # # @param x positions # @param y positions # @param numeric vector of length 2 giving binwidth in x and y directions # @keyword internal hexBin <- function(x, y, binwidth) { try_require("hexbin") # Convert binwidths into bounds + nbins xbnds <- c( round_any(min(x), binwidth[1], floor) - 1e-6, round_any(max(x), binwidth[1], ceiling) + 1e-6 ) xbins <- diff(xbnds) / binwidth[1] ybnds <- c( round_any(min(y), binwidth[2], floor) - 1e-6, round_any(max(y), binwidth[2], ceiling) + 1e-6 ) ybins <- diff(ybnds) / binwidth[2] # Call hexbin hb <- hexbin( x, xbnds = xbnds, xbins = xbins, y, ybnds = ybnds, shape = ybins / xbins, ) # Convert to data frame data.frame( hcell2xy(hb), count = hb@count, density = hb@count / sum(hb@count, na.rm=TRUE) ) } ggplot2/R/stat-identity.r0000644000175100001440000000277612114161113015037 0ustar hornikusers#' Identity statistic. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "identity")} #' #' @param mapping The aesthetic mapping, usually constructed with #' \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set #' at the layer level if you are overriding the plot defaults. #' @param data A layer specific dataset - only needed if you want to override #' the plot defaults. #' @param geom The geometric object to use display the data #' @param position The position adjustment to use for overlappling points #' on this layer #' @param width The width of the tiles. #' @param height The height of the tiles. #' @param ... other arguments passed on to \code{\link{layer}}. This can #' include aesthetics whose values you want to set, not map. See #' \code{\link{layer}} for more details. #' @export #' @examples #' # Doesn't do anything, so hard to come up a useful example stat_identity <- function (mapping = NULL, data = NULL, geom = "point", position = "identity", width = NULL, height = NULL, ...) { StatIdentity$new(mapping = mapping, data = data, geom = geom, position = position, width = width, height = height,...) } StatIdentity <- proto(Stat, { objname <- "identity" default_geom <- function(.) GeomPoint calculate_groups <- function(., data, scales, width = NULL, height = NULL, ...) { if (!is.null(width)) data$width <- width if (!is.null(height)) data$height <- height data } desc_outputs <- list() }) ggplot2/R/geom-linerange.r0000644000175100001440000000404412114160774015130 0ustar hornikusers#' An interval represented by a vertical line. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "linerange")} #' #' @seealso \code{\link{geom_errorbar}}: error bars; #' \code{\link{geom_pointrange}}: range indicated by straight line, with #' point in the middle; \code{\link{geom_crossbar}}: hollow bar with middle #' indicated by horizontal line; \code{\link{stat_summary}}: examples of #' these guys in use; \code{\link{geom_smooth}}: for continuous analog #' @export #' @inheritParams geom_point #' @examples #' # Generate data: means and standard errors of means for prices #' # for each type of cut #' dmod <- lm(price ~ cut, data=diamonds) #' cuts <- data.frame(cut=unique(diamonds$cut), predict(dmod, data.frame(cut = unique(diamonds$cut)), se=TRUE)[c("fit","se.fit")]) #' #' qplot(cut, fit, data=cuts) #' # With a bar chart, we are comparing lengths, so the y-axis is #' # automatically extended to include 0 #' qplot(cut, fit, data=cuts, geom="bar") #' #' # Display estimates and standard errors in various ways #' se <- ggplot(cuts, aes(cut, fit, #' ymin = fit - se.fit, ymax=fit + se.fit, colour = cut)) #' se + geom_linerange() #' se + geom_pointrange() #' se + geom_errorbar(width = 0.5) #' se + geom_crossbar(width = 0.5) #' #' # Use coord_flip to flip the x and y axes #' se + geom_linerange() + coord_flip() geom_linerange <- function (mapping = NULL, data = NULL, stat = "identity", position = "identity", ...) { GeomLinerange$new(mapping = mapping, data = data, stat = stat, position = position, ...) } GeomLinerange <- proto(Geom, { objname <- "linerange" default_stat <- function(.) StatIdentity default_aes <- function(.) aes(colour = "black", size=0.5, linetype=1, alpha = NA) guide_geom <- function(.) "path" required_aes <- c("x", "ymin", "ymax") draw <- function(., data, scales, coordinates, ...) { munched <- coord_transform(coordinates, data, scales) ggname(.$my_name(), GeomSegment$draw(transform(data, xend=x, y=ymin, yend=ymax), scales, coordinates, ...)) } }) ggplot2/R/annotation.r0000644000175100001440000000443312114160774014413 0ustar hornikusers#' Create an annotation layer. #' #' This function adds geoms to a plot. Unlike typical a geom function, #' the properties of the geoms are not mapped from variables of a data frame, #' but are instead in as vectors. This is useful for adding small annotations #' (such as text labels) or if you have your data in vectors, and for some #' reason don't want to put them in a data frame. #' #' Note that all position aesthetics are scaled (i.e. they will expand the #' limits of the plot so they are visible), but all other aesthetics are #' set. This means that layers created with this function will never #' affect the legend. #' #' @param geom name of geom to use for annotation #' @param x,y,xmin,ymin,xmax,ymax positionining aesthetics - you must #' specify at least one of these. #' @param ... other aesthetics. These are not scaled so you can do (e.g.) #' \code{colour = "red"} to get a red point. #' @export #' @examples #' p <- ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point() #' p + annotate("text", x = 4, y = 25, label = "Some text") #' p + annotate("text", x = 2:5, y = 25, label = "Some text") #' p + annotate("rect", xmin = 3, xmax = 4.2, ymin = 12, ymax = 21, #' alpha = .2) #' p + annotate("segment", x = 2.5, xend = 4, y = 15, yend = 25, #' colour = "blue") #' p + annotate("pointrange", x = 3.5, y = 20, ymin = 12, ymax = 28, #' colour = "red", size = 1.5) #' #' p + annotate("text", x = 2:3, y = 20:21, label = c("my label", "label 2")) annotate <- function(geom, x = NULL, y = NULL, xmin = NULL, xmax = NULL, ymin = NULL, ymax = NULL, ...) { position <- compact(list( x = x, xmin = xmin, xmax = xmax, y = y, ymin = ymin, ymax = ymax )) aesthetics <- c(position, list(...)) # Check that all aesthetic have compatible lengths lengths <- vapply(aesthetics, length, integer(1)) unequal <- length(unique(setdiff(lengths, 1L))) > 1L if (unequal) { bad <- lengths != 1L details <- paste(names(aesthetics)[bad], " (", lengths[bad], ")", sep = "", collapse = ", ") stop("Unequal parameter lengths: ", details, call. = FALSE) } data <- data.frame(position) layer( geom = geom, geom_params = list(...), stat = "identity", data = data, mapping = aes_all(names(data)), inherit.aes = FALSE, show_guide = FALSE ) } ggplot2/R/utilities.r0000644000175100001440000002036412114161113014241 0ustar hornikusers # Null default # Analog of || from ruby # # @keyword internal # @name nulldefault-infix "%||%" <- function(a, b) { if (!is.null(a)) a else b } # Check required aesthetics are present # This is used by geoms and stats to give a more helpful error message # when required aesthetics are missing. # # @param character vector of required aesthetics # @param character vector of present aesthetics # @param name of object for error message # @keyword internal check_required_aesthetics <- function(required, present, name) { missing_aes <- setdiff(required, present) if (length(missing_aes) == 0) return() stop(name, " requires the following missing aesthetics: ", paste(missing_aes, collapse=", "), call. = FALSE) } # Concatenate a named list for output # Print a \code{list(a=1, b=2)} as \code{(a=1, b=2)} # # @param list to concatenate # @keyword internal #X clist(list(a=1, b=2)) #X clist(par()[1:5]) clist <- function(l) { paste(paste(names(l), l, sep=" = ", collapse=", "), sep="") } # Abbreviated paste # Alias for paste with a shorter name and convenient defaults # # @param character vectors to be concatenated # @param default separator # @param default collapser # @keyword internal ps <- function(..., sep="", collapse="") do.call(paste, compact(list(..., sep=sep, collapse=collapse))) # Quietly try to require a package # Queitly require a package, returning an error message if that package is not installed. # # @param name of package # @keyword internal try_require <- function(package) { available <- suppressMessages(suppressWarnings(sapply(package, require, quietly = TRUE, character.only = TRUE, warn.conflicts=FALSE))) missing <- package[!available] if (length(missing) > 0) stop(paste(package, collapse=", "), " package required for this functionality. Please install and try again.", call. = FALSE) } # Return unique columns # This is used for figuring out which columns are constant within a group # # @keyword internal uniquecols <- function(df) { df <- df[1, sapply(df, function(x) length(unique(x)) == 1), drop=FALSE] rownames(df) <- 1:nrow(df) df } # A "safe" version of do.call # \code{safe.call} works like \code{\link{do.call}} but it will only supply arguments that exist in the function specification. # # If ... is present in the param list, all parameters will be passed through # unless \code{ignore.dots = TRUE}. Positional arguments are not currently # supported. # # @param function to call # @arugments named list of parameters to be supplied to function # @param parameter names of function # @param # @keyword internal safe.call <- function(f, params, f.params = names(formals(f)), ignore.dots = TRUE) { if (!ignore.dots && "..." %in% f.params) { safe.params <- params } else { safe.params <- params[intersect(f.params, names(params))] } do.call(f, safe.params) } # Convenience function to remove missing values from a data.frame # Remove all non-complete rows, with a warning if \code{na.rm = FALSE}. # # ggplot is somewhat more accomodating of missing values than R generally. # For those stats which require complete data, missing values will be # automatically removed with a warning. If \code{na.rm = TRUE} is supplied # to the statistic, the warning will be suppressed. # # @param data.frame # @param suppress warning that rows are being removed? # @argumnets variables to check for missings in # @param optional function name to make warning message more informative # @keyword internal #X a <- remove_missing(movies) #X a <- remove_missing(movies, na.rm = TRUE) #X qplot(mpaa, budget, data=movies, geom="boxplot") remove_missing <- function(df, na.rm=FALSE, vars = names(df), name="", finite = FALSE) { vars <- intersect(vars, names(df)) if (name != "") name <- ps(" (", name, ")") if (finite) { missing <- !finite.cases(df[, vars, drop = FALSE]) str <- "non-finite" } else { missing <- !complete.cases(df[, vars, drop = FALSE]) str <- "missing" } if (any(missing)) { df <- df[!missing, ] if (!na.rm) warning("Removed ", sum(missing), " rows containing ", str, " values", name, ".", call. = FALSE) } df } finite.cases <- function(x) UseMethod("finite.cases") # Returns a logical vector of same length as nrow(x). If all data on a row # is finite (not NA, NaN, Inf, or -Inf) return TRUE; otherwise FALSE. #' @S3method finite.cases data.frame finite.cases.data.frame <- function(x) { finite_cases <- vapply(x, is.finite, logical(nrow(x))) # Need a special case test when x has exactly one row, because rowSums # doesn't respect dimensions for 1x1 matrices. vapply returns a vector (not # a matrix when the input has one row. if (is.vector(finite_cases)) { all(finite_cases) } else { # Find all the rows where all are TRUE rowSums(as.matrix(finite_cases)) == ncol(x) } } # "Invert" a list # Keys become values, values become keys # # @param list to invert # @keyword internal invert <- function(L) { t1 <- unlist(L) names(t1) <- rep(names(L), lapply(L, length)) tapply(names(t1), t1, c) } # Inside # Return logical vector indicating if x is inside the interval # # @keyword internal "%inside%" <- function(x, interval) { x >= interval[1] & x <= interval[2] } #' Used in examples to illustrate when errors should occur. #' #' @param expr code to evaluate. #' @export #' @keywords internal #' @examples #' should_stop(stop("Hi!")) #' should_stop(should_stop("Hi!")) should_stop <- function(expr) { res <- try(print(force(expr)), TRUE) if (!inherits(res, "try-error")) stop("No error!", call. = FALSE) invisible() } #' A waiver object. #' #' A waiver is a "flag" object, similar to \code{NULL}, that indicates the #' calling function should just use the default value. It is used in certain #' functions to distinguish between displaying nothing (\code{NULL}) and #' displaying a default value calculated elsewhere (\code{waiver()}) #' #' @export #' @keywords internal waiver <- function() structure(NULL, class="waiver") is.waive <- function(x) inherits(x, "waiver") rescale01 <- function(x) { rng <- range(x, na.rm = TRUE) (x - rng[1]) / (rng[2] - rng[1]) } # This is a hack for ggplot2 0.9.3 to make it compatible with both plyr 1.7.1 and # plyr 1.8 (and above). This should be removed for the next release of ggplot2. # Tag: deprecated if (packageVersion("plyr") <= package_version("1.7.1")) { rename <- function(x, replace, warn_missing) { plyr::rename(x, replace) } } else { rename <- plyr::rename } #' Give a deprecation error, warning, or messsage, depending on version number. #' #' Version numbers have the format .., like 0.9.2. #' This function compares the current version number of ggplot2 against the #' specified \code{version}, which is the most recent version before the #' function (or other object) was deprecated. #' #' \code{gg_dep} will give an error, warning, or message, depending on the #' difference between the current ggplot2 version and the specified #' \code{version}. #' #' If the current major number is greater than \code{version}'s major number, #' or if the current minor number is more than 1 greater than \code{version}'s #' minor number, give an error. #' #' If the current minor number differs from \code{version}'s minor number by #' one, give a warning. #' #' If the current subminor number differs from \code{version}'s subminor #' number, print a message. #' #' @param version The last version of ggplot2 where this function was good #' (in other words, the last version where it was not deprecated). #' @param msg The message to print. #' @export gg_dep <- function(version, msg) { v <- as.package_version(version) cv <- packageVersion("ggplot2") # If current major number is greater than last-good major number, or if # current minor number is more than 1 greater than last-good minor number, # give error. if (cv[[1,1]] > v[[1,1]] || cv[[1,2]] > v[[1,2]] + 1) { stop(msg, " (Defunct; last used in version ", version, ")", call. = FALSE) # If minor number differs by one, give warning } else if (cv[[1,2]] > v[[1,2]]) { warning(msg, " (Deprecated; last used in version ", version, ")", call. = FALSE) # If only subminor number is greater, give message } else if (cv[[1,3]] > v[[1,3]]) { message(msg, " (Deprecated; last used in version ", version, ")") } invisible() } ggplot2/R/utilities-break.r0000644000175100001440000000310412114160774015330 0ustar hornikusers#' Cut numeric vector into intervals of equal length. #' #' @param x numeric vector #' @param n number of intervals to create, OR #' @param length length of each interval #' @param ... other arguments passed on to \code{\link{cut}} #' @seealso \code{\link{cut_number}} #' @export #' @examples #' table(cut_interval(1:100, n = 10)) #' table(cut_interval(1:100, n = 11)) #' table(cut_interval(1:100, length = 10)) cut_interval <- function(x, n = NULL, length = NULL, ...) { cut(x, breaks(x, "width", n, length), include.lowest = TRUE, ...) } #' Cut numeric vector into intervals containing equal number of points. #' #' @param x numeric vector #' @param n number of intervals to create #' @param ... other arguments passed on to \code{\link{cut}} #' @seealso \code{\link{cut_interval}} #' @export #' @examples #' table(cut_number(runif(1000), n = 10)) cut_number <- function(x, n = NULL, ...) { cut(x, breaks(x, "n", n), include.lowest = TRUE, ...) } breaks <- function(x, equal, nbins = NULL, binwidth = NULL) { equal <- match.arg(equal, c("numbers", "width")) if ((!is.null(nbins) && !is.null(binwidth)) || (is.null(nbins) && is.null(binwidth))) { stop("Specify exactly one of n and width") } rng <- range(x, na.rm = TRUE, finite = TRUE) if (equal == "width") { if (!is.null(binwidth)) { fullseq(rng, binwidth) } else { seq(rng[1], rng[2], length = nbins + 1) } } else { if (!is.null(binwidth)) { probs <- seq(0, 1, by = binwidth) } else { probs <- seq(0, 1, length = nbins + 1) } quantile(x, probs, na.rm = TRUE) } } ggplot2/R/scale-linetype.r0000644000175100001440000000224012114161113015135 0ustar hornikusers#' Scale for line patterns. #' #' Default line types based on a set supplied by Richard Pearson, #' University of Manchester. Line types can not be mapped to continuous #' values. #' #' @inheritParams scale_x_discrete #' @param na.value The linetype to use for \code{NA} values. #' @rdname scale_linetype #' @export #' @examples #' library(reshape2) # for melt #' library(plyr) # for ddply #' ecm <- melt(economics, id = "date") #' rescale01 <- function(x) (x - min(x)) / diff(range(x)) #' ecm <- ddply(ecm, "variable", transform, value = rescale01(value)) #' #' qplot(date, value, data=ecm, geom="line", group=variable) #' qplot(date, value, data=ecm, geom="line", linetype=variable) #' qplot(date, value, data=ecm, geom="line", colour=variable) #' #' # See scale_manual for more flexibility scale_linetype <- function(..., na.value = "blank") { discrete_scale("linetype", "linetype_d", linetype_pal(), na.value = na.value, ...) } #' @rdname scale_linetype #' @export scale_linetype_continuous <- function(...) { stop("A continuous variable can not be mapped to linetype", call. = FALSE) } #' @rdname scale_linetype #' @export scale_linetype_discrete <- scale_linetype ggplot2/R/templates.r0000644000175100001440000001542112114161113014222 0ustar hornikusers#' Make a parallel coordinates plot. #' #' One way to think about a parallel coordinates plot, is as plotting #' the data after it has been transformed to gain a new variable. This #' function does this using \code{\link[reshape2]{melt}}. #' #' This gives us enormous flexibility as we have separated out the #' type of drawing (lines by tradition) and can now use any of the existing #' geom functions. In particular this makes it very easy to create parallel #' boxplots, as shown in the example. #' #' @param data data frame #' @param vars variables to include in parallel coordinates plot #' @param ... other arguments passed on plot creation #' @export #' @examples #' \dontrun{ #' ggpcp(mtcars) + geom_line() #' ggpcp(mtcars, vars=names(mtcars[2:6])) + geom_line() #' ggpcp(mtcars) + geom_boxplot(aes(group=variable)) #' #' p <- ggpcp(mtcars, vars=names(mtcars[2:6])) #' p + geom_line() #' p + geom_line(aes(colour=mpg)) #' } ggpcp <- function(data, vars=names(data), ...) { gg_dep("0.9.1", "ggpcp is deprecated.") scaled <- as.data.frame(lapply(data[, vars], rescale01)) data <- cunion(scaled, data) data$ROWID <- 1:nrow(data) molten <- melt(data, m=vars) ggplot(molten, aes_string(x = "variable", y = "value", group = "ROWID"), ...) } #' Create a fluctuation plot. #' #' A fluctutation diagram is a graphical representation of a contingency #' table. This function only supports 2D contingency tables #' at present but extension to higher dimensions should be #' relatively straightforward. #' #' With the default size fluctuation diagram, area is proportional to the #' count (length of sides proportional to sqrt(count)). #' #' @param table a table of values, or a data frame with three columns, #' the last column being frequency #' @param type "size", or "colour" to create traditional heatmap #' @param floor don't display cells smaller than this value #' @param ceiling round cells to at most this value #' @param na.rm If \code{TRUE}, silently remove missing values. #' @export #' @examples #' \dontrun{ #' ggfluctuation(table(movies$Action, movies$Comedy)) #' ggfluctuation(table(movies$Action, movies$mpaa)) #' ggfluctuation(table(movies$Action, movies$Comedy), type="colour") #' ggfluctuation(table(warpbreaks$breaks, warpbreaks$tension)) #' } ggfluctuation <- function(table, type="size", floor=0, ceiling=max(table$freq, na.rm=TRUE)) { gg_dep("0.9.1", "ggfluctuation is deprecated.") if (is.table(table)) table <- as.data.frame(t(table)) oldnames <- names(table) names(table) <- c("x","y", "result") table <- transform(table, x = as.factor(x), y = as.factor(y), freq = result ) if (type =="size") { table <- transform(table, freq = sqrt(pmin(freq, ceiling) / ceiling), border = ifelse(is.na(freq), "grey90", ifelse(freq > ceiling, "grey30", "grey50")) ) table[is.na(table$freq), "freq"] <- 1 table <- subset(table, freq * ceiling >= floor) } if (type=="size") { nx <- length(levels(table$x)) ny <- length(levels(table$y)) p <- ggplot(table, aes_string(x="x", y="y", height="freq", width="freq", fill="border")) + geom_tile(colour="white") + scale_fill_identity() + theme(aspect.ratio = ny / nx) # geom_rect(aes(xmin = as.numeric(x), ymin = as.numeric(y), xmax = as.numeric(x) + freq, ymax = as.numeric(y) + freq), colour="white") + } else { p <- ggplot(table, aes_string(x="x", y="y", fill="freq")) + geom_tile(colour="grey50") + scale_fill_gradient2(low="white", high="darkgreen") } p$xlabel <- oldnames[1] p$ylabel <- oldnames[2] p } #' Create a plot to illustrate patterns of missing values. #' #' The missing values plot is a useful tool to get a rapid #' overview of the number and pattern of missing values in a #' dataset. Its strength #' is much more apparent when used with interactive graphics, as you can #' see in Mondrian (\url{http://rosuda.org/mondrian}) where this plot was #' copied from. #' #' @param data input data.frame #' @param avoid whether missings should be stacked or dodged, see #' \code{\link{geom_bar}} for more details #' @param order if \code{TRUE}, order variables by number of missings #' @param missing.only if \code{TRUE}, only display variables with some #' missing data #' @seealso \code{\link{ggstructure}}, \code{\link{ggorder}} #' @export #' @examples #' \dontrun{ #' mmissing <- movies #' mmissing[sample(nrow(movies), 1000), sample(ncol(movies), 5)] <- NA #' ggmissing(mmissing) #' ggmissing(mmissing, order=FALSE, missing.only = FALSE) #' ggmissing(mmissing, avoid="dodge") + scale_y_sqrt() #' } ggmissing <- function(data, avoid="stack", order=TRUE, missing.only = TRUE) { gg_dep("0.9.1", "ggmissing is deprecated.") missings <- mapply(function(var, name) cbind(as.data.frame(table(missing=factor(is.na(var), levels=c(TRUE, FALSE), labels=c("yes", "no")))), variable=name), data, names(data), SIMPLIFY=FALSE ) df <- do.call("rbind", missings) prop <- df[df$missing == "yes", "Freq"] / (df[df$missing == "no", "Freq"] + df[df$missing == "yes", "Freq"]) df$prop <- rep(prop, each=2) if (order) { var <- df$variable var <- factor(var, levels = levels(var)[order(1 - prop)]) df$variable <- var } if (missing.only) { df <- df[df$prop > 0 & df$prop < 1, , drop=FALSE] df$variable <- factor(df$variable) } ggplot(df, aes_string(y="Freq", x="variable", fill="missing")) + geom_bar(position=avoid) } #' A plot which aims to reveal gross structural anomalies in the data. #' #' @param data data set to plot #' @export #' @examples #' \dontrun{ #' ggstructure(mtcars) #' } ggstructure <- function(data) { gg_dep("0.9.1", "ggstructure is deprecated.") ggpcp(data) + aes_string(y="ROWID", fill="value", x="variable") + geom_tile() + scale_y_continuous("row number", expand = c(0, 1)) + scale_fill_gradient2(low="blue", mid="white", high="red", midpoint=0) } #' A plot to investigate the order in which observations were recorded. #' #' @param data data set to plot #' @export ggorder <- function(data) { gg_dep("0.9.1", "ggorder is deprecated.") ggpcp(data) + aes_string(x="ROWID", group="variable", y="value") + facet_grid(. ~ variable) + geom_line() + scale_x_continuous("row number") } # Distribution plot. ggdist <- function(data, vars=names(data), facets = . ~ .) { gg_dep("0.9.1", "ggdist is deprecated.") cat <- sapply(data[vars], is.factor) facets <- deparse(substitute(facets)) grid.newpage() pushViewport(viewport(layout=grid.layout(ncol = ncol(data)))) mapply(function(name, cat, i) { p <- ggplot(data) + facet_grid(facets) + aes_string(x=name, y=1) + geom_bar() pushViewport(viewport(layout.pos.col=i)) grid.draw(ggplotGrob(p)) popViewport() }, names(data[vars]), cat, 1:ncol(data[vars])) invisible() } ggplot2/R/stat-ydensity.r0000644000175100001440000001107212114161113015043 0ustar hornikusers#' 1d kernel density estimate along y axis, for violin plot. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "ydensity")} #' #' @inheritParams stat_density #' @inheritParams stat_identity #' @param trim If \code{TRUE} (default), trim the tails of the violins #' to the range of the data. If \code{FALSE}, don't trim the tails. #' @param scale if "area" (default), all violins have the same area (before trimming #' the tails). If "count", areas are scaled proportionally to the number of #' observations. If "width", all violins have the same maximum width. #' @param na.rm If \code{FALSE} (the default), removes missing values with #' a warning. If \code{TRUE} silently removes missing values. #' #' @return A data frame with additional columns: #' \item{density}{density estimate} #' \item{scaled}{density estimate, scaled to maximum of 1} #' \item{count}{density * number of points - probably useless for violin plots} #' \item{violinwidth}{density scaled for the violin plot, according to area, counts #' or to a constant maximum width} #' \item{n}{number of points} #' \item{width}{width of violin bounding box} #' @seealso \code{\link{geom_violin}} for examples, and \code{\link{stat_density}} #' for examples with data along the x axis. #' @export #' @examples #' # See geom_violin for examples #' # Also see stat_density for similar examples with data along x axis stat_ydensity <- function (mapping = NULL, data = NULL, geom = "violin", position = "dodge", adjust = 1, kernel = "gaussian", trim = TRUE, scale = "area", na.rm = FALSE, ...) { StatYdensity$new(mapping = mapping, data = data, geom = geom, position = position, adjust = adjust, kernel = kernel, trim = trim, scale = scale, na.rm = na.rm, ...) } StatYdensity <- proto(Stat, { objname <- "ydensity" calculate_groups <- function(., data, na.rm = FALSE, width = NULL, scale = "area", ...) { data <- remove_missing(data, na.rm, "y", name = "stat_ydensity", finite = TRUE) data <- .super$calculate_groups(., data, na.rm = na.rm, width = width, ...) # choose how violins are scaled relative to each other scale <- match.arg(scale, c("area", "equal", "count", "width")) if (scale == "equal") { gg_dep("0.9.2", "scale=\"area\" is deprecated; in the future, use scale=\"equal\" instead.") scale <- "area" } data$violinwidth <- switch(scale, # area : keep the original densities but scale them to a max width of 1 # for plotting purposes only area = data$density / max(data$density), # count: use the original densities scaled to a maximum of 1 (as above) # and then scale them according to the number of observations count = (data$density / max(data$density)) * data$n / max(data$n), # width: constant width (density scaled to a maximum of 1) width = data$scaled ) data } calculate <- function(., data, scales, width=NULL, adjust=1, kernel="gaussian", trim=TRUE, na.rm = FALSE, ...) { n <- nrow(data) # if less than 3 points, return a density of 1 everywhere if (n < 3) { return(data.frame(data, density = 1, scaled = 1, count = 1)) } # initialize weights if they are not supplied by the user if (is.null(data$weight)) { data$weight <- rep(1, n) / n } # compute the density dens <- density(data$y, adjust = adjust, kernel = kernel, weight = data$weight, n = 200) # NB: stat_density restricts to the scale range, here we leave that # free so violins can extend the y scale densdf <- data.frame(y = dens$x, density = dens$y) # scale density to a maximum of 1 densdf$scaled <- densdf$density / max(densdf$density, na.rm = TRUE) # trim density outside of the data range if (trim) { densdf <- subset(densdf, y > min(data$y, na.rm = TRUE) & y < max(data$y, na.rm = TRUE)) } # NB: equivalently, we could have used these bounds in the from and # to arguments of density() # scale density by the number of observations densdf$count <- densdf$density * n # record the number of observations to be able to scale the density later densdf$n <- n # coordinate on the x axis densdf$x <- if (is.factor(data$x)) data$x[1] else mean(range(data$x)) # width of the bounding box of the violin plot on the x axis for continuous x if (length(unique(data$x)) > 1) { width <- diff(range(data$x)) * 0.9 } densdf$width <- width densdf } default_geom <- function(.) GeomViolin required_aes <- c("x", "y") }) ggplot2/R/zxx.r0000644000175100001440000000237212114160774013072 0ustar hornikusers# Default scales ------------------------------------------------------------- #' @export #' @rdname scale_hue scale_colour_discrete <- scale_colour_hue #' @export #' @rdname scale_gradient scale_colour_continuous <- scale_colour_gradient #' @export #' @rdname scale_hue scale_fill_discrete <- scale_fill_hue #' @export #' @rdname scale_gradient scale_fill_continuous <- scale_fill_gradient # British to American spellings ---------------------------------------------- #' @export #' @rdname scale_brewer scale_color_brewer <- scale_colour_brewer #' @export #' @rdname scale_gradient scale_color_continuous <- scale_colour_gradient #' @export #' @rdname scale_hue scale_color_discrete <- scale_colour_hue #' @export #' @rdname scale_gradient scale_color_gradient <- scale_colour_gradient #' @export #' @rdname scale_gradient2 scale_color_gradient2 <- scale_colour_gradient2 #' @export #' @rdname scale_gradientn scale_color_gradientn <- scale_colour_gradientn #' @export #' @rdname scale_grey scale_color_grey <- scale_colour_grey #' @export #' @rdname scale_hue scale_color_hue <- scale_colour_hue #' @export #' @rdname scale_identity scale_color_identity <- scale_colour_identity #' @export #' @rdname scale_manual scale_color_manual <- scale_colour_manual ggplot2/R/geom-crossbar.r0000644000175100001440000000655212114161113014774 0ustar hornikusers#' Hollow bar with middle indicated by horizontal line. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "crossbar")} #' #' @inheritParams geom_point #' @param fatten a multiplicate factor to fatten middle bar by #' @seealso \code{\link{geom_errorbar}} for error bars, #' \code{\link{geom_pointrange}} and \code{\link{geom_linerange}} for other #' ways of showing mean + error, \code{\link{stat_summary}} to compute #' errors from the data, \code{\link{geom_smooth}} for the continuous analog. #' @export #' @examples #' # See geom_linerange for examples geom_crossbar <- function (mapping = NULL, data = NULL, stat = "identity", position = "identity", fatten = 2, ...) { GeomCrossbar$new(mapping = mapping, data = data, stat = stat, position = position, fatten = fatten, ...) } GeomCrossbar <- proto(Geom, { objname <- "crossbar" reparameterise <- function(., df, params) { GeomErrorbar$reparameterise(df, params) } default_stat <- function(.) StatIdentity default_pos <- function(.) PositionIdentity default_aes = function(.) aes(colour="black", fill=NA, size=0.5, linetype=1, alpha = NA) required_aes <- c("x", "y", "ymin", "ymax") guide_geom <- function(.) "crossbar" draw_legend <- function(., data, ...) { data <- aesdefaults(data, .$default_aes(), list(...)) gp <- with(data, gpar(col=colour, fill=alpha(fill, alpha), lwd=size * .pt, lty = linetype)) gTree(gp = gp, children = gList( rectGrob(height=0.5, width=0.75), linesGrob(c(0.125, 0.875), 0.5) )) } draw <- function(., data, scales, coordinates, fatten = 2, width = NULL, ...) { middle <- transform(data, x = xmin, xend = xmax, yend = y, size = size * fatten, alpha = NA) has_notch <- !is.null(data$ynotchlower) && !is.null(data$ynotchupper) && !is.na(data$ynotchlower) && !is.na(data$ynotchupper) if (has_notch) { if (data$ynotchlower < data$ymin || data$ynotchupper > data$ymax) message("notch went outside hinges. Try setting notch=FALSE.") notchindent <- (1 - data$notchwidth) * (data$xmax - data$xmin) / 2 middle$x <- middle$x + notchindent middle$xend <- middle$xend - notchindent box <- data.frame( x = c(data$xmin, data$xmin, data$xmin + notchindent, data$xmin, data$xmin, data$xmax, data$xmax, data$xmax - notchindent, data$xmax, data$xmax, data$xmin), y = c(data$ymax, data$ynotchupper, data$y, data$ynotchlower, data$ymin, data$ymin, data$ynotchlower, data$y, data$ynotchupper, data$ymax, data$ymax), alpha = data$alpha, colour = data$colour, size = data$size, linetype = data$linetype, fill = data$fill, group = data$group, stringsAsFactors = FALSE) } else { # No notch box <- data.frame( x = c(data$xmin, data$xmin, data$xmax, data$xmax, data$xmin), y = c(data$ymax, data$ymin, data$ymin, data$ymax, data$ymax), alpha = data$alpha, colour = data$colour, size = data$size, linetype = data$linetype, fill = data$fill, group = data$group, stringsAsFactors = FALSE) } ggname(.$my_name(), gTree(children=gList( GeomPolygon$draw(box, scales, coordinates, ...), GeomSegment$draw(middle, scales, coordinates, ...) ))) } }) ggplot2/R/geom-blank.r0000644000175100001440000000250512114160774014253 0ustar hornikusers#' Blank, draws nothing. #' #' The blank geom draws nothing, but can be a useful way of ensuring common #' scales between different plots. #' #' @export #' @inheritParams geom_point #' @examples #' qplot(length, rating, data = movies, geom = "blank") #' # Nothing to see here! #' #' # Take the following scatter plot #' a <- ggplot(mtcars, aes(x = wt, y = mpg), . ~ cyl) + geom_point() #' # Add to that some lines with geom_abline() #' df <- data.frame(a = rnorm(10, 25), b = rnorm(10, 0)) #' a + geom_abline(aes(intercept = a, slope = b), data = df) #' # Suppose you then wanted to remove the geom_point layer #' # If you just remove geom_point, you will get an error #' b <- ggplot(mtcars, aes(x = wt, y = mpg)) #' \dontrun{b + geom_abline(aes(intercept = a, slope = b), data = df)} #' # Switching to geom_blank() gets the desired plot #' c <- ggplot(mtcars, aes(x = wt, y = mpg)) + geom_blank() #' c + geom_abline(aes(intercept = a, slope = b), data = df) geom_blank <- function (mapping = NULL, data = NULL, stat = "identity", position = "identity", ...) { GeomBlank$new(mapping = mapping, data = data, stat = stat, position = position, ...) } GeomBlank <- proto(Geom, { objname <- "blank" default_stat <- function(.) StatIdentity default_aes <- function(.) aes() draw_legend <- function(., data, ...) { zeroGrob() } }) ggplot2/R/stat-sum.r0000644000175100001440000000466012114161113014004 0ustar hornikusers#' Sum unique values. Useful for overplotting on scatterplots. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "sum")} #' #' @seealso \code{\link{ggfluctuation}} for a fluctuation diagram, #' @inheritParams stat_identity #' @return a data.frame with additional columns #' \item{n}{number of observations at position} #' \item{prop}{percent of points in that panel at that position} #' @export #' @examples #' \donttest{ #' d <- ggplot(diamonds, aes(x = cut, y = clarity)) #' # By default, all categorical variables in the plot form grouping #' # variables, and the default behavior in stat_sum is to show the #' # proportion. Specifying stat_sum with no group identifier leads to #' # a plot which is not meaningful: #' d + stat_sum() #' # To correct this problem and achieve a more desirable plot, we need #' # to specify which group the proportion is to be calculated over. #' # There are several ways to do this: #' #' # by overall proportion #' d + stat_sum(aes(group = 1)) #' d + stat_sum(aes(group = 1)) + scale_size(range = c(3, 10)) #' d + stat_sum(aes(group = 1)) + scale_area(range = c(3, 10)) #' #' # by cut #' d + stat_sum(aes(group = cut)) #' d + stat_sum(aes(group = cut, colour = cut)) #' #' # by clarity #' d + stat_sum(aes(group = clarity)) #' d + stat_sum(aes(group = clarity, colour = cut)) #' #' # Instead of proportions, can also use sums #' d + stat_sum(aes(size = ..n..)) #' #' # Can also weight by another variable #' d + stat_sum(aes(group = 1, weight = price)) #' d + stat_sum(aes(group = 1, weight = price, size = ..n..)) #' #' # Or using qplot #' qplot(cut, clarity, data = diamonds) #' qplot(cut, clarity, data = diamonds, stat = "sum", group = 1) #' } stat_sum <- function (mapping = NULL, data = NULL, geom = "point", position = "identity", ...) { StatSum$new(mapping = mapping, data = data, geom = geom, position = position, ...) } StatSum <- proto(Stat, { objname <- "sum" default_aes <- function(.) aes(size = ..prop..) required_aes <- c("x", "y") default_geom <- function(.) GeomPoint calculate_groups <- function(., data, scales, ...) { if (is.null(data$weight)) data$weight <- 1 group_by <- setdiff(intersect(names(data), .all_aesthetics), "weight") counts <- count(data, group_by, wt_var = "weight") counts <- rename(counts, c(freq = "n"), warn_missing = FALSE) counts$prop <- ave(counts$n, counts$group, FUN = prop.table) counts } }) ggplot2/R/geom-point-.r0000644000175100001440000001343112114160774014372 0ustar hornikusers#' Points, as for a scatterplot #' #' The point geom is used to create scatterplots. #' #' The scatterplot is useful for displaying the relationship between two #' continuous variables, although it can also be used with one continuous #' and one categorical variable, or two categorical variables. See #' \code{\link{geom_jitter}} for possibilities. #' #' The \emph{bubblechart} is a scatterplot with a third variable mapped to #' the size of points. There are no special names for scatterplots where #' another variable is mapped to point shape or colour, however. #' #' The biggest potential problem with a scatterplot is overplotting: whenever #' you have more than a few points, points may be plotted on top of one #' another. This can severely distort the visual appearance of the plot. #' There is no one solution to this problem, but there are some techniques #' that can help. You can add additional information with #' \code{\link{stat_smooth}}, \code{\link{stat_quantile}} or #' \code{\link{stat_density2d}}. If you have few unique x values, #' \code{\link{geom_boxplot}} may also be useful. Alternatively, you can #' summarise the number of points at each location and display that in some #' way, using \code{\link{stat_sum}}. Another technique is to use transparent #' points, \code{geom_point(alpha = 0.05)}. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "point")} #' #' @seealso \code{\link{scale_size}} to see scale area of points, instead of #' radius, \code{\link{geom_jitter}} to jitter points to reduce (mild) #' overplotting #' @param mapping The aesthetic mapping, usually constructed with #' \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set #' at the layer level if you are overriding the plot defaults. #' @param data A layer specific dataset - only needed if you want to override #' the plot defaults. #' @param stat The statistical transformation to use on the data for this #' layer. #' @param position The position adjustment to use for overlappling points #' on this layer #' @param na.rm If \code{FALSE} (the default), removes missing values with #' a warning. If \code{TRUE} silently removes missing values. #' @param ... other arguments passed on to \code{\link{layer}}. This can #' include aesthetics whose values you want to set, not map. See #' \code{\link{layer}} for more details. #' @export #' @examples #' \donttest{ #' p <- ggplot(mtcars, aes(wt, mpg)) #' p + geom_point() #' #' # Add aesthetic mappings #' p + geom_point(aes(colour = qsec)) #' p + geom_point(aes(alpha = qsec)) #' p + geom_point(aes(colour = factor(cyl))) #' p + geom_point(aes(shape = factor(cyl))) #' p + geom_point(aes(size = qsec)) #' #' # Change scales #' p + geom_point(aes(colour = cyl)) + scale_colour_gradient(low = "blue") #' p + geom_point(aes(size = qsec)) + scale_area() #' p + geom_point(aes(shape = factor(cyl))) + scale_shape(solid = FALSE) #' #' # Set aesthetics to fixed value #' p + geom_point(colour = "red", size = 3) #' qplot(wt, mpg, data = mtcars, colour = I("red"), size = I(3)) #' #' # Varying alpha is useful for large datasets #' d <- ggplot(diamonds, aes(carat, price)) #' d + geom_point(alpha = 1/10) #' d + geom_point(alpha = 1/20) #' d + geom_point(alpha = 1/100) #' #' # You can create interesting shapes by layering multiple points of #' # different sizes #' p <- ggplot(mtcars, aes(mpg, wt)) #' p + geom_point(colour="grey50", size = 4) + geom_point(aes(colour = cyl)) #' p + aes(shape = factor(cyl)) + #' geom_point(aes(colour = factor(cyl)), size = 4) + #' geom_point(colour="grey90", size = 1.5) #' p + geom_point(colour="black", size = 4.5) + #' geom_point(colour="pink", size = 4) + #' geom_point(aes(shape = factor(cyl))) #' #' # These extra layers don't usually appear in the legend, but we can #' # force their inclusion #' p + geom_point(colour="black", size = 4.5, show_guide = TRUE) + #' geom_point(colour="pink", size = 4, show_guide = TRUE) + #' geom_point(aes(shape = factor(cyl))) #' #' # Transparent points: #' qplot(mpg, wt, data = mtcars, size = I(5), alpha = I(0.2)) #' #' # geom_point warns when missing values have been dropped from the data set #' # and not plotted, you can turn this off by setting na.rm = TRUE #' mtcars2 <- transform(mtcars, mpg = ifelse(runif(32) < 0.2, NA, mpg)) #' qplot(wt, mpg, data = mtcars2) #' qplot(wt, mpg, data = mtcars2, na.rm = TRUE) #' #' # Use qplot instead #' qplot(wt, mpg, data = mtcars) #' qplot(wt, mpg, data = mtcars, colour = factor(cyl)) #' qplot(wt, mpg, data = mtcars, colour = I("red")) #' } geom_point <- function (mapping = NULL, data = NULL, stat = "identity", position = "identity", na.rm = FALSE, ...) { GeomPoint$new(mapping = mapping, data = data, stat = stat, position = position, na.rm = na.rm, ...) } GeomPoint <- proto(Geom, { objname <- "point" draw_groups <- function(., ...) .$draw(...) draw <- function(., data, scales, coordinates, na.rm = FALSE, ...) { data <- remove_missing(data, na.rm, c("x", "y", "size", "shape"), name = "geom_point") if (empty(data)) return(zeroGrob()) with(coord_transform(coordinates, data, scales), ggname(.$my_name(), pointsGrob(x, y, size=unit(size, "mm"), pch=shape, gp=gpar(col=alpha(colour, alpha), fill = alpha(fill, alpha), fontsize = size * .pt))) ) } draw_legend <- function(., data, ...) { data <- aesdefaults(data, .$default_aes(), list(...)) with(data, pointsGrob(0.5, 0.5, size=unit(size, "mm"), pch=shape, gp=gpar( col=alpha(colour, alpha), fill=alpha(fill, alpha), fontsize = size * .pt) ) ) } default_stat <- function(.) StatIdentity required_aes <- c("x", "y") default_aes <- function(.) aes(shape=16, colour="black", size=2, fill = NA, alpha = NA) }) ggplot2/R/scale-gradientn.r0000644000175100001440000000353612114160774015304 0ustar hornikusers#' Smooth colour gradient between n colours #' #' @inheritParams scales::gradient_n_pal #' @inheritParams scale_colour_hue #' @param guide Type of legend. Use \code{"colourbar"} for continuous #' colour bar, or \code{"legend"} for discrete colour legend. #' @family colour scales #' @rdname scale_gradientn #' @export #' @examples #' \donttest{ #' # scale_colour_gradient make it easy to use existing colour palettes #' #' dsub <- subset(diamonds, x > 5 & x < 6 & y > 5 & y < 6) #' dsub$diff <- with(dsub, sqrt(abs(x-y))* sign(x-y)) #' (d <- qplot(x, y, data=dsub, colour=diff)) #' #' d + scale_colour_gradientn(colours = rainbow(7)) #' breaks <- c(-0.5, 0, 0.5) #' d + scale_colour_gradientn(colours = rainbow(7), #' breaks = breaks, labels = format(breaks)) #' #' d + scale_colour_gradientn(colours = topo.colors(10)) #' d + scale_colour_gradientn(colours = terrain.colors(10)) #' #' # You can force them to be symmetric by supplying a vector of #' # values, and turning rescaling off #' max_val <- max(abs(dsub$diff)) #' values <- seq(-max_val, max_val, length = 11) #' #' d + scale_colour_gradientn(colours = topo.colors(10), #' values = values, rescaler = function(x, ...) x, oob = identity) #' d + scale_colour_gradientn(colours = terrain.colors(10), #' values = values, rescaler = function(x, ...) x, oob = identity) #' } scale_colour_gradientn <- function(..., colours, values = NULL, space = "Lab", na.value = "grey50", guide = "colourbar") { continuous_scale("colour", "gradientn", gradient_n_pal(colours, values, space), na.value = na.value, guide = guide, ...) } #' @rdname scale_gradientn #' @export scale_fill_gradientn <- function(..., colours, values = NULL, space = "Lab", na.value = "grey50", guide = "colourbar") { continuous_scale("fill", "gradientn", gradient_n_pal(colours, values, space), na.value = na.value, guide = guide, ...) } ggplot2/R/stat-contour.r0000644000175100001440000001072012114161113014663 0ustar hornikusers#' Calculate contours of 3d data. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "contour")} #' #' @inheritParams stat_identity #' @param na.rm If \code{FALSE} (the default), removes missing values with #' a warning. If \code{TRUE} silently removes missing values. #' @return A data frame with additional column: #' \item{level}{height of contour} #' @export #' @examples #' \donttest{ #' # Generate data #' library(reshape2) # for melt #' volcano3d <- melt(volcano) #' names(volcano3d) <- c("x", "y", "z") #' #' # Basic plot #' v <- ggplot(volcano3d, aes(x, y, z = z)) #' v + stat_contour() #' #' # Setting bins creates evenly spaced contours in the range of the data #' v + stat_contour(bins = 2) #' v + stat_contour(bins = 10) #' #' # Setting binwidth does the same thing, parameterised by the distance #' # between contours #' v + stat_contour(binwidth = 2) #' v + stat_contour(binwidth = 5) #' v + stat_contour(binwidth = 10) #' v + stat_contour(binwidth = 2, size = 0.5, colour = "grey50") + #' stat_contour(binwidth = 10, size = 1) #' #' # Add aesthetic mappings #' v + stat_contour(aes(size = ..level..)) #' v + stat_contour(aes(colour = ..level..)) #' #' # Change scale #' v + stat_contour(aes(colour = ..level..), size = 2) + #' scale_colour_gradient(low = "brown", high = "white") #' #' # Set aesthetics to fixed value #' v + stat_contour(colour = "red") #' v + stat_contour(size = 2, linetype = 4) #' #' # Try different geoms #' v + stat_contour(geom="polygon", aes(fill=..level..)) #' v + geom_tile(aes(fill = z)) + stat_contour() #' #' # Use qplot instead #' qplot(x, y, z = z, data = volcano3d, geom = "contour") #' qplot(x, y, z = z, data = volcano3d, stat = "contour", geom = "path") #' } stat_contour <- function (mapping = NULL, data = NULL, geom = "path", position = "identity", na.rm = FALSE, ...) { StatContour$new(mapping = mapping, data = data, geom = geom, position = position, na.rm = na.rm, ...) } StatContour <- proto(Stat, { objname <- "contour" calculate <- function(., data, scales, bins=NULL, binwidth=NULL, breaks = NULL, complete = FALSE, na.rm = FALSE, ...) { data <- remove_missing(data, na.rm, name = "stat_contour", finite = TRUE) # If no parameters set, use pretty bins if (is.null(bins) && is.null(binwidth) && is.null(breaks)) { breaks <- pretty(range(data$z), 10) } # If provided, use bins to calculate binwidth if (!is.null(bins)) { binwidth <- diff(range(data$z)) / bins } # If necessary, compute breaks from binwidth if (is.null(breaks)) { breaks <- fullseq(range(data$z), binwidth) } contour_lines(data, breaks, complete = complete) } default_geom <- function(.) GeomPath default_aes <- function(.) aes(order = ..level..) required_aes <- c("x", "y", "z") }) # v3d <- reshape2::melt(volcano) # names(v3d) <- c("x", "y", "z") # # breaks <- seq(95, 195, length = 10) # contours <- contour_lines(v3d, breaks) # qplot(x, y, data = contours, geom = "path") + facet_wrap(~ piece) contour_lines <- function(data, breaks, complete = FALSE) { z <- tapply(data$z, data[c("x", "y")], identity) cl <- contourLines( x = sort(unique(data$x)), y = sort(unique(data$y)), z = z, levels = breaks) if (length(cl) == 0) { warning("Not possible to generate contour data", call. = FALSE) return(data.frame()) } # Convert list of lists into single data frame lengths <- vapply(cl, function(x) length(x$x), integer(1)) levels <- vapply(cl, "[[", "level", FUN.VALUE = double(1)) xs <- unlist(lapply(cl, "[[", "x"), use.names = FALSE) ys <- unlist(lapply(cl, "[[", "y"), use.names = FALSE) pieces <- rep(seq_along(cl), lengths) # Add leading zeros so that groups can be properly sorted later groups <- paste(data$group[1], sprintf("%03d", pieces), sep = "-") data.frame( level = rep(levels, lengths), x = xs, y = ys, piece = pieces, group = groups ) } # 1 = clockwise, -1 = counterclockwise, 0 = 0 area # From http://stackoverflow.com/questions/1165647 # x <- c(5, 6, 4, 1, 1) # y <- c(0, 4, 5, 5, 0) # poly_dir(x, y) poly_dir <- function(x, y) { xdiff <- c(x[-1], x[1]) - x ysum <- c(y[-1], y[1]) + y sign(sum(xdiff * ysum)) } # To fix breaks and complete the polygons, we need to add 0-4 corner points. # # contours <- ddply(contours, "piece", mutate, dir = poly_dir(x, y)) # qplot(x, y, data = contours, geom = "path", group = piece, # colour = factor(dir)) # last_plot() + facet_wrap(~ level) ggplot2/R/geom-path-line.r0000644000175100001440000000530112114160774015042 0ustar hornikusers#' Connect observations, ordered by x value. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "line")} #' #' @seealso \code{\link{geom_path}}: connect observations in data order, #' \code{\link{geom_segment}}: draw line segments, #' \code{\link{geom_ribbon}}: fill between line and x-axis #' @inheritParams geom_point #' @export #' @examples #' # Summarise number of movie ratings by year of movie #' mry <- do.call(rbind, by(movies, round(movies$rating), function(df) { #' nums <- tapply(df$length, df$year, length) #' data.frame(rating=round(df$rating[1]), year = as.numeric(names(nums)), number=as.vector(nums)) #' })) #' #' p <- ggplot(mry, aes(x=year, y=number, group=rating)) #' p + geom_line() #' #' # Add aesthetic mappings #' p + geom_line(aes(size = rating)) #' p + geom_line(aes(colour = rating)) #' #' # Change scale #' p + geom_line(aes(colour = rating)) + scale_colour_gradient(low="red") #' p + geom_line(aes(size = rating)) + scale_size(range = c(0.1, 3)) #' #' # Set aesthetics to fixed value #' p + geom_line(colour = "red", size = 1) #' #' # Use qplot instead #' qplot(year, number, data=mry, group=rating, geom="line") #' #' # Using a time series #' qplot(date, pop, data=economics, geom="line") #' qplot(date, pop, data=economics, geom="line", log="y") #' qplot(date, pop, data=subset(economics, date > as.Date("2006-1-1")), geom="line") #' qplot(date, pop, data=economics, size=unemploy/pop, geom="line") #' #' # Use the arrow parameter to add an arrow to the line #' # See ?grid::arrow for more details #' c <- ggplot(economics, aes(x = date, y = pop)) #' # Arrow defaults to "last" #' library(grid) #' c + geom_line(arrow = arrow()) #' c + geom_line(arrow = arrow(angle = 15, ends = "both", type = "closed")) #' #' # See scale_date for examples of plotting multiple times series on #' # a single graph #' #' # A simple pcp example #' #' y2005 <- runif(300, 20, 120) #' y2010 <- y2005 * runif(300, -1.05, 1.5) #' group <- rep(LETTERS[1:3], each = 100) #' #' df <- data.frame(id = seq_along(group), group, y2005, y2010) #' library(reshape2) # for melt #' dfm <- melt(df, id.var = c("id", "group")) #' ggplot(dfm, aes(variable, value, group = id, colour = group)) + #' geom_path(alpha = 0.5) geom_line <- function (mapping = NULL, data = NULL, stat = "identity", position = "identity", ...) { GeomLine$new(mapping = mapping, data = data, stat = stat, position = position, ...) } GeomLine <- proto(GeomPath, { objname <- "line" draw <- function(., data, scales, coordinates, arrow = NULL, ...) { data <- data[order(data$group, data$x), ] GeomPath$draw(data, scales, coordinates, arrow, ...) } default_stat <- function(.) StatIdentity }) ggplot2/R/stat-spoke.r0000644000175100001440000000233612114160774014333 0ustar hornikusers#' Convert angle and radius to xend and yend. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "spoke")} #' #' @inheritParams stat_identity #' @return a data.frame with additional columns #' \item{xend}{x position of end of line segment} #' \item{yend}{x position of end of line segment} #' @export #' @examples #' df <- expand.grid(x = 1:10, y=1:10) #' df$angle <- runif(100, 0, 2*pi) #' df$speed <- runif(100, 0, 0.5) #' #' qplot(x, y, data=df) + stat_spoke(aes(angle=angle), radius = 0.5) #' last_plot() + scale_y_reverse() #' #' qplot(x, y, data=df) + stat_spoke(aes(angle=angle, radius=speed)) stat_spoke <- function (mapping = NULL, data = NULL, geom = "segment", position = "identity", ...) { StatSpoke$new(mapping = mapping, data = data, geom = geom, position = position, ...) } StatSpoke <- proto(Stat, { objname <- "spoke" retransform <- FALSE calculate <- function(., data, scales, radius = 1, ...) { transform(data, xend = x + cos(angle) * radius, yend = y + sin(angle) * radius ) } default_aes <- function(.) aes(xend = ..xend.., yend = ..yend..) required_aes <- c("x", "y", "angle", "radius") default_geom <- function(.) GeomSegment }) ggplot2/R/facet-grid-.r0000644000175100001440000003501312114161113014305 0ustar hornikusers#' Lay out panels in a grid. #' #' @param facets a formula with the rows (of the tabular display) on the LHS #' and the columns (of the tabular display) on the RHS; the dot in the #' formula is used to indicate there should be no faceting on this dimension #' (either row or column). The formula can also be provided as a string #' instead of a classical formula object #' @param margins either a logical value or a character #' vector. Margins are additional facets which contain all the data #' for each of the possible values of the faceting variables. If #' \code{FALSE}, no additional facets are included (the #' default). If \code{TRUE}, margins are included for all faceting #' variables. If specified as a character vector, it is the names of #' variables for which margins are to be created. #' @param scales Are scales shared across all facets (the default, #' \code{"fixed"}), or do they vary across rows (\code{"free_x"}), #' columns (\code{"free_y"}), or both rows and columns (\code{"free"}) #' @param space If \code{"fixed"}, the default, all panels have the same size. #' If \code{"free_y"} their height will be proportional to the length of the #' y scale; if \code{"free_x"} their width will be proportional to the #' length of the x scale; or if \code{"free"} both height and width will #' vary. This setting has no effect unless the appropriate scales also vary. #' @param labeller A function that takes two arguments (\code{variable} and #' \code{value}) and returns a string suitable for display in the facet #' strip. See \code{\link{label_value}} for more details and pointers #' to other options. #' @param as.table If \code{TRUE}, the default, the facets are laid out like #' a table with highest values at the bottom-right. If \code{FALSE}, the #' facets are laid out like a plot with the highest value at the top-right. #' @param shrink If \code{TRUE}, will shrink scales to fit output of #' statistics, not raw data. If \code{FALSE}, will be range of raw data #' before statistical summary. #' @param drop If \code{TRUE}, the default, all factor levels not used in the #' data will automatically be dropped. If \code{FALSE}, all factor levels #' will be shown, regardless of whether or not they appear in the data. #' @export #' @examples #' \donttest{ #' p <- ggplot(mtcars, aes(mpg, wt)) + geom_point() #' # With one variable #' p + facet_grid(. ~ cyl) #' p + facet_grid(cyl ~ .) #' #' # With two variables #' p + facet_grid(vs ~ am) #' p + facet_grid(am ~ vs) #' p + facet_grid(vs ~ am, margins=TRUE) #' #' # To change plot order of facet grid, #' # change the order of variable levels with factor() #' #' set.seed(6809) #' diamonds <- diamonds[sample(nrow(diamonds), 1000), ] #' diamonds$cut <- factor(diamonds$cut, #' levels = c("Ideal", "Very Good", "Fair", "Good", "Premium")) #' #' # Repeat first example with new order #' p <- ggplot(diamonds, aes(carat, ..density..)) + #' geom_histogram(binwidth = 1) #' p + facet_grid(. ~ cut) #' #' qplot(mpg, wt, data=mtcars, facets = . ~ vs + am) #' qplot(mpg, wt, data=mtcars, facets = vs + am ~ . ) #' #' # You can also use strings, which makes it a little easier #' # when writing functions that generate faceting specifications #' # p + facet_grid("cut ~ .") #' #' # see also ?plotmatrix for the scatterplot matrix #' #' # If there isn't any data for a given combination, that panel #' # will be empty #' qplot(mpg, wt, data=mtcars) + facet_grid(cyl ~ vs) #' # If you combine a facetted dataset with a dataset that lacks those # facetting variables, the data will be repeated across the missing # combinations: #' p <- qplot(mpg, wt, data=mtcars, facets = vs ~ cyl) #' #' df <- data.frame(mpg = 22, wt = 3) #' p + geom_point(data = df, colour="red", size = 2) #' #' df2 <- data.frame(mpg = c(19, 22), wt = c(2,4), vs = c(0, 1)) #' p + geom_point(data = df2, colour="red", size = 2) #' #' df3 <- data.frame(mpg = c(19, 22), wt = c(2,4), vs = c(1, 1)) #' p + geom_point(data = df3, colour="red", size = 2) #' #' #' # You can also choose whether the scales should be constant #' # across all panels (the default), or whether they should be allowed #' # to vary #' mt <- ggplot(mtcars, aes(mpg, wt, colour = factor(cyl))) + geom_point() #' #' mt + facet_grid(. ~ cyl, scales = "free") #' # If scales and space are free, then the mapping between position #' # and values in the data will be the same across all panels #' mt + facet_grid(. ~ cyl, scales = "free", space = "free") #' #' mt + facet_grid(vs ~ am, scales = "free") #' mt + facet_grid(vs ~ am, scales = "free_x") #' mt + facet_grid(vs ~ am, scales = "free_y") #' mt + facet_grid(vs ~ am, scales = "free", space="free") #' mt + facet_grid(vs ~ am, scales = "free", space="free_x") #' mt + facet_grid(vs ~ am, scales = "free", space="free_y") #' #' # You may need to set your own breaks for consistent display: #' mt + facet_grid(. ~ cyl, scales = "free_x", space="free") + #' scale_x_continuous(breaks = seq(10, 36, by = 2)) #' # Adding scale limits override free scales: #' last_plot() + xlim(10, 15) #' #' # Free scales are particularly useful for categorical variables #' qplot(cty, model, data=mpg) + #' facet_grid(manufacturer ~ ., scales = "free", space = "free") #' # particularly when you reorder factor levels #' mpg <- within(mpg, { #' model <- reorder(model, cty) #' manufacturer <- reorder(manufacturer, cty) #' }) #' last_plot() %+% mpg + theme(strip.text.y = element_text()) #' #' # Use as.table to to control direction of horizontal facets, TRUE by default #' h <- ggplot(mtcars, aes(x = mpg, y = wt)) + geom_point() #' h + facet_grid(cyl ~ vs) #' h + facet_grid(cyl ~ vs, as.table = FALSE) #' #' # Use labeller to control facet labels, label_value is default #' h + facet_grid(cyl ~ vs, labeller = label_both) #' # Using label_parsed, see ?plotmath for more options #' mtcars$cyl2 <- factor(mtcars$cyl, labels = c("alpha", "beta", "sqrt(x, y)")) #' k <- qplot(wt, mpg, data = mtcars) #' k + facet_grid(. ~ cyl2) #' k + facet_grid(. ~ cyl2, labeller = label_parsed) #' # For label_bquote the label value is x. #' p <- qplot(wt, mpg, data = mtcars) #' p + facet_grid(. ~ vs, labeller = label_bquote(alpha ^ .(x))) #' p + facet_grid(. ~ vs, labeller = label_bquote(.(x) ^ .(x))) #' #' # Margins can be specified by logically (all yes or all no) or by specific #' # variables as (character) variable names #' mg <- ggplot(mtcars, aes(x = mpg, y = wt)) + geom_point() #' mg + facet_grid(vs + am ~ gear) #' mg + facet_grid(vs + am ~ gear, margins = TRUE) #' mg + facet_grid(vs + am ~ gear, margins = "am") #' # when margins are made over "vs", since the facets for "am" vary #' # within the values of "vs", the marginal facet for "vs" is also #' # a margin over "am". #' mg + facet_grid(vs + am ~ gear, margins = "vs") #' mg + facet_grid(vs + am ~ gear, margins = "gear") #' mg + facet_grid(vs + am ~ gear, margins = c("gear", "am")) #' } facet_grid <- function(facets, margins = FALSE, scales = "fixed", space = "fixed", shrink = TRUE, labeller = "label_value", as.table = TRUE, drop = TRUE) { scales <- match.arg(scales, c("fixed", "free_x", "free_y", "free")) free <- list( x = any(scales %in% c("free_x", "free")), y = any(scales %in% c("free_y", "free")) ) space <- match.arg(space, c("fixed", "free_x", "free_y", "free")) space_free <- list( x = any(space %in% c("free_x", "free")), y = any(space %in% c("free_y", "free")) ) # Facets can either be a formula, a string, or a list of things to be # convert to quoted if (is.character(facets)) { facets <- as.formula(facets) } if (is.formula(facets)) { lhs <- function(x) if(length(x) == 2) NULL else x[-3] rhs <- function(x) if(length(x) == 2) x else x[-2] rows <- as.quoted(lhs(facets)) rows <- rows[!sapply(rows, identical, as.name("."))] cols <- as.quoted(rhs(facets)) cols <- cols[!sapply(cols, identical, as.name("."))] } if (is.list(facets)) { rows <- as.quoted(facets[[1]]) cols <- as.quoted(facets[[2]]) } if (length(rows) + length(cols) == 0) { stop("Must specify at least one variable to facet by", call. = FALSE) } facet( rows = rows, cols = cols, margins = margins, shrink = shrink, free = free, space_free = space_free, labeller = labeller, as.table = as.table, drop = drop, subclass = "grid" ) } #' @S3method facet_train_layout grid facet_train_layout.grid <- function(facet, data) { layout <- layout_grid(data, facet$rows, facet$cols, facet$margins, drop = facet$drop, as.table = facet$as.table) # Relax constraints, if necessary layout$SCALE_X <- if (facet$free$x) layout$COL else 1L layout$SCALE_Y <- if (facet$free$y) layout$ROW else 1L layout } #' @S3method facet_map_layout grid facet_map_layout.grid <- function(facet, data, layout) { locate_grid(data, layout, facet$rows, facet$cols, facet$margins) } #' @S3method facet_render grid facet_render.grid <- function(facet, panel, coord, theme, geom_grobs) { axes <- facet_axes(facet, panel, coord, theme) strips <- facet_strips(facet, panel, theme) panels <- facet_panels(facet, panel, coord, theme, geom_grobs) # adjust the size of axes to the size of panel axes$l$heights <- panels$heights axes$b$widths <- panels$widths # adjust the size of the strips to the size of the panels strips$r$heights <- panels$heights strips$t$widths <- panels$widths # Combine components into complete plot top <- strips$t top <- gtable_add_cols(top, strips$r$widths) top <- gtable_add_cols(top, axes$l$widths, pos = 0) center <- cbind(axes$l, panels, strips$r, z = c(2, 1, 3)) bottom <- axes$b bottom <- gtable_add_cols(bottom, strips$r$widths) bottom <- gtable_add_cols(bottom, axes$l$widths, pos = 0) complete <- rbind(top, center, bottom, z = c(1, 2, 3)) complete$respect <- panels$respect complete$name <- "layout" bottom <- axes$b complete } #' @S3method facet_strips grid facet_strips.grid <- function(facet, panel, theme) { col_vars <- unique(panel$layout[names(facet$cols)]) row_vars <- unique(panel$layout[names(facet$rows)]) list( r = build_strip(panel, row_vars, facet$labeller, theme, "r"), t = build_strip(panel, col_vars, facet$labeller, theme, "t") ) } build_strip <- function(panel, label_df, labeller, theme, side = "right") { side <- match.arg(side, c("top", "left", "bottom", "right")) horizontal <- side %in% c("top", "bottom") labeller <- match.fun(labeller) # No labelling data, so return empty row/col if (empty(label_df)) { if (horizontal) { widths <- unit(rep(0, max(panel$layout$COL)), "null") return(gtable_row_spacer(widths)) } else { heights <- unit(rep(0, max(panel$layout$ROW)), "null") return(gtable_col_spacer(heights)) } } # Create matrix of labels labels <- matrix(list(), nrow = nrow(label_df), ncol = ncol(label_df)) for (i in seq_len(ncol(label_df))) { labels[, i] <- labeller(names(label_df)[i], label_df[, i]) } # Render as grobs grobs <- apply(labels, c(1,2), ggstrip, theme = theme, horizontal = horizontal) # Create layout name <- paste("strip", side, sep = "-") if (horizontal) { grobs <- t(grobs) # Each row is as high as the highest and as a wide as the panel row_height <- function(row) max(laply(row, height_cm)) heights <- unit(apply(grobs, 1, row_height), "cm") widths <- unit(rep(1, ncol(grobs)), "null") } else { # Each row is wide as the widest and as high as the panel col_width <- function(col) max(laply(col, width_cm)) widths <- unit(apply(grobs, 2, col_width), "cm") heights <- unit(rep(1, nrow(grobs)), "null") } strips <- gtable_matrix(name, grobs, heights = heights, widths = widths) if (horizontal) { gtable_add_col_space(strips, theme$panel.margin) } else { gtable_add_row_space(strips, theme$panel.margin) } } #' @S3method facet_axes grid facet_axes.grid <- function(facet, panel, coord, theme) { axes <- list() # Horizontal axes cols <- which(panel$layout$ROW == 1) grobs <- lapply(panel$ranges[cols], coord_render_axis_h, coord = coord, theme = theme) axes$b <- gtable_add_col_space(gtable_row("axis-b", grobs), theme$panel.margin) # Vertical axes rows <- which(panel$layout$COL == 1) grobs <- lapply(panel$ranges[rows], coord_render_axis_v, coord = coord, theme = theme) axes$l <- gtable_add_row_space(gtable_col("axis-l", grobs), theme$panel.margin) axes } #' @S3method facet_panels grid facet_panels.grid <- function(facet, panel, coord, theme, geom_grobs) { # If user hasn't set aspect ratio, and we have fixed scales, then # ask the coordinate system if it wants to specify one aspect_ratio <- theme$aspect.ratio if (is.null(aspect_ratio) && !facet$free$x && !facet$free$y) { aspect_ratio <- coord_aspect(coord, panel$ranges[[1]]) } if (is.null(aspect_ratio)) { aspect_ratio <- 1 respect <- FALSE } else { respect <- TRUE } # Add background and foreground to panels panels <- panel$layout$PANEL ncol <- max(panel$layout$COL) nrow <- max(panel$layout$ROW) panel_grobs <- lapply(panels, function(i) { fg <- coord_render_fg(coord, panel$range[[i]], theme) bg <- coord_render_bg(coord, panel$range[[i]], theme) geom_grobs <- lapply(geom_grobs, "[[", i) panel_grobs <- c(list(bg), geom_grobs, list(fg)) gTree(children = do.call("gList", panel_grobs)) }) panel_matrix <- matrix(panel_grobs, nrow = nrow, ncol = ncol, byrow = TRUE) # @kohske # Now size of each panel is calculated using PANEL$ranges, which is given by # coord_train called by train_range. # So here, "scale" need not to be referred. # # In general, panel has all information for building facet. if (facet$space_free$x) { ps <- panel$layout$PANEL[panel$layout$ROW == 1] widths <- vapply(ps, function(i) diff(panel$range[[i]]$x.range), numeric(1)) panel_widths <- unit(widths, "null") } else { panel_widths <- rep(unit(1, "null"), ncol) } if (facet$space_free$y) { ps <- panel$layout$PANEL[panel$layout$COL == 1] heights <- vapply(ps, function(i) diff(panel$range[[i]]$y.range), numeric(1)) panel_heights <- unit(heights, "null") } else { panel_heights <- rep(unit(1 * aspect_ratio, "null"), nrow) } panels <- gtable_matrix("panel", panel_matrix, panel_widths, panel_heights, respect = respect) panels <- gtable_add_col_space(panels, theme$panel.margin) panels <- gtable_add_row_space(panels, theme$panel.margin) panels } #' @S3method facet_vars grid facet_vars.grid <- function(facet) { paste(lapply(list(facet$rows, facet$cols), paste, collapse = ", "), collapse = " ~ ") } ggplot2/R/geom-violin.r0000644000175100001440000000774212114160774014474 0ustar hornikusers#' Violin plot. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "violin")} #' #' @inheritParams geom_point #' @param trim If \code{TRUE} (default), trim the tails of the violins #' to the range of the data. If \code{FALSE}, don't trim the tails. #' @param scale if "area" (default), all violins have the same area (before trimming #' the tails). If "count", areas are scaled proportionally to the number of #' observations. If "width", all violins have the same maximum width. #' @export #' @examples #' \donttest{ #' p <- ggplot(mtcars, aes(factor(cyl), mpg)) #' #' p + geom_violin() #' qplot(factor(cyl), mpg, data = mtcars, geom = "violin") #' #' p + geom_violin() + geom_jitter(height = 0) #' p + geom_violin() + coord_flip() #' qplot(factor(cyl), mpg, data = mtcars, geom = "violin") + #' coord_flip() #' #' # Scale maximum width proportional to sample size: #' p + geom_violin(scale = "count") #' #' # Scale maximum width to 1 for all violins: #' p + geom_violin(scale = "width") #' #' # Default is to trim violins to the range of the data. To disable: #' p + geom_violin(trim = FALSE) #' #' # Use a smaller bandwidth for closer density fit (default is 1). #' p + geom_violin(adjust = .5) #' #' # Add aesthetic mappings #' # Note that violins are automatically dodged when any aesthetic is #' # a factor #' p + geom_violin(aes(fill = cyl)) #' p + geom_violin(aes(fill = factor(cyl))) #' p + geom_violin(aes(fill = factor(vs))) #' p + geom_violin(aes(fill = factor(am))) #' #' # Set aesthetics to fixed value #' p + geom_violin(fill = "grey80", colour = "#3366FF") #' qplot(factor(cyl), mpg, data = mtcars, geom = "violin", #' colour = I("#3366FF")) #' #' # Scales vs. coordinate transforms ------- #' # Scale transformations occur before the density statistics are computed. #' # Coordinate transformations occur afterwards. Observe the effect on the #' # number of outliers. #' library(plyr) # to access round_any #' m <- ggplot(movies, aes(y = votes, x = rating, #' group = round_any(rating, 0.5))) #' m + geom_violin() #' m + geom_violin() + scale_y_log10() #' m + geom_violin() + coord_trans(y = "log10") #' m + geom_violin() + scale_y_log10() + coord_trans(y = "log10") #' #' # Violin plots with continuous x: #' # Use the group aesthetic to group observations in violins #' qplot(year, budget, data = movies, geom = "violin") #' qplot(year, budget, data = movies, geom = "violin", #' group = round_any(year, 10, floor)) #' } geom_violin <- function (mapping = NULL, data = NULL, stat = "ydensity", position = "dodge", trim = TRUE, scale = "area", ...) { GeomViolin$new(mapping = mapping, data = data, stat = stat, position = position, trim = trim, scale = scale, ...) } GeomViolin <- proto(Geom, { objname <- "violin" reparameterise <- function(., df, params) { df$width <- df$width %||% params$width %||% (resolution(df$x, FALSE) * 0.9) # ymin, ymax, xmin, and xmax define the bounding rectangle for each group ddply(df, .(group), transform, ymin = min(y), ymax = max(y), xmin = x - width / 2, xmax = x + width / 2) } draw <- function(., data, ...) { # Find the points for the line to go all the way around data <- transform(data, xminv = x - violinwidth * (x-xmin), xmaxv = x + violinwidth * (xmax-x)) # Make sure it's sorted properly to draw the outline newdata <- rbind(arrange(transform(data, x = xminv), y), arrange(transform(data, x = xmaxv), -y)) # Close the polygon: set first and last point the same # Needed for coord_polar and such newdata <- rbind(newdata, newdata[1,]) ggname(.$my_name(), GeomPolygon$draw(newdata, ...)) } guide_geom <- function(.) "polygon" default_stat <- function(.) StatYdensity default_pos <- function(.) PositionDodge default_aes <- function(.) aes(weight=1, colour="grey20", fill="white", size=0.5, alpha = NA, linetype = "solid") required_aes <- c("x", "y") }) ggplot2/R/geom-smooth.r0000644000175100001440000000467212114160774014504 0ustar hornikusers#' Add a smoothed conditional mean. #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "smooth")} #' #' @inheritParams geom_point #' @seealso The default stat for this geom is \code{\link{stat_smooth}} see #' that documentation for more options to control the underlying statistical transformation. #' @export #' @examples #' # See stat_smooth for examples of using built in model fitting #' # if you need some more flexible, this example shows you how to #' # plot the fits from any model of your choosing #' qplot(wt, mpg, data=mtcars, colour=factor(cyl)) #' #' model <- lm(mpg ~ wt + factor(cyl), data=mtcars) #' grid <- with(mtcars, expand.grid( #' wt = seq(min(wt), max(wt), length = 20), #' cyl = levels(factor(cyl)) #' )) #' #' grid$mpg <- stats::predict(model, newdata=grid) #' #' qplot(wt, mpg, data=mtcars, colour=factor(cyl)) + geom_line(data=grid) #' #' # or with standard errors #' #' err <- stats::predict(model, newdata=grid, se = TRUE) #' grid$ucl <- err$fit + 1.96 * err$se.fit #' grid$lcl <- err$fit - 1.96 * err$se.fit #' #' qplot(wt, mpg, data=mtcars, colour=factor(cyl)) + #' geom_smooth(aes(ymin = lcl, ymax = ucl), data=grid, stat="identity") geom_smooth <- function (mapping = NULL, data = NULL, stat = "smooth", position = "identity", ...) { GeomSmooth$new(mapping = mapping, data = data, stat = stat, position = position, ...) } GeomSmooth <- proto(Geom, { objname <- "smooth" draw <- function(., data, scales, coordinates, ...) { ribbon <- transform(data, colour = NA) path <- transform(data, alpha = NA) has_ribbon <- function(x) !is.null(data$ymax) && !is.null(data$ymin) gList( if (has_ribbon(data)) GeomRibbon$draw(ribbon, scales, coordinates), GeomLine$draw(path, scales, coordinates) ) } guide_geom <- function(.) "smooth" default_stat <- function(.) StatSmooth required_aes <- c("x", "y") default_aes <- function(.) aes(colour="#3366FF", fill="grey60", size=0.5, linetype=1, weight=1, alpha=0.4) draw_legend <- function(., data, params, ...) { data <- aesdefaults(data, .$default_aes(), list(...)) data$fill <- alpha(data$fill, data$alpha) data$alpha <- 1 if (is.null(params$se) || params$se) { gTree(children = gList( rectGrob(gp = gpar(col = NA, fill = data$fill)), GeomPath$draw_legend(data, ...) )) } else { GeomPath$draw_legend(data, ...) } } }) ggplot2/R/grob-dotstack.r0000644000175100001440000000357012114160774015005 0ustar hornikusersdotstackGrob <- function ( x = unit(0.5, "npc"), # x pos of the dotstack's origin y = unit(0.5, "npc"), # y pos of the dotstack's origin stackaxis = "y", dotdia = unit(1, "npc"), # Dot diameter in the non-stack axis, should be in npc stackposition = 0, # Position of each dot in the stack, relative to origin stackratio = 1, # Stacking height of dots (.75 means 25% dot overlap) default.units = "npc", name = NULL, gp = gpar(), vp = NULL) { if (!is.unit(x)) x <- unit(x, default.units) if (!is.unit(y)) y <- unit(y, default.units) if (!is.unit(dotdia)) dotdia <- unit(dotdia, default.units) if (attr(dotdia,"unit") != "npc") warning("Unit type of dotdia should be 'npc'") grob(x = x, y = y, stackaxis = stackaxis, dotdia = dotdia, stackposition = stackposition, stackratio = stackratio, name = name, gp = gp, vp = vp, cl = "dotstackGrob") } #' @S3method drawDetails dotstackGrob drawDetails.dotstackGrob <- function(x, recording = TRUE) { # Need absolute coordinates because when using npc coords with circleGrob, # the radius is in the _smaller_ of the two axes. We need the radius # to instead be defined in terms of the non-stack axis. xmm <- convertX(x$x, "mm", valueOnly = TRUE) ymm <- convertY(x$y, "mm", valueOnly = TRUE) if(x$stackaxis == "x") { dotdiamm <- convertY(x$dotdia, "mm", valueOnly = TRUE) xpos <- xmm + dotdiamm * (x$stackposition * x$stackratio + (1 - x$stackratio) / 2) ypos <- ymm } else if(x$stackaxis == "y") { dotdiamm <- convertX(x$dotdia, "mm", valueOnly = TRUE) xpos <- xmm ypos <- ymm + dotdiamm * (x$stackposition * x$stackratio + (1 - x$stackratio) / 2) } grid.draw( circleGrob(x = xpos, y = ypos, r = dotdiamm / 2, default.units = "mm", name = x$name, gp = x$gp, vp = x$vp), ) } ggplot2/R/geom-bar-.r0000644000175100001440000001436512114161113014000 0ustar hornikusers#' Bars, rectangles with bases on x-axis #' #' The bar geom is used to produce 1d area plots: bar charts for categorical #' x, and histograms for continuous y. stat_bin explains the details of #' these summaries in more detail. In particular, you can use the #' \code{weight} aesthetic to create weighted histograms and barcharts where #' the height of the bar no longer represent a count of observations, but a #' sum over some other variable. See the examples for a practical #' example. #' #' The heights of the bars commonly represent one of two things: either a #' count of cases in each group, or the values in a column of the data frame. #' By default, \code{geom_bar} uses \code{stat="bin"}. This makes the height #' of each bar equal to the number of cases in each group, and it is #' incompatible with mapping values to the \code{y} aesthetic. If you want #' the heights of the bars to represent values in the data, use #' \code{stat="identity"} and map a value to the \code{y} aesthetic. #' #' By default, multiple x's occuring in the same place will be stacked a top #' one another by position_stack. If you want them to be dodged from #' side-to-side, see \code{\link{position_dodge}}. Finally, #' \code{\link{position_fill}} shows relative propotions at each x by stacking #' the bars and then stretching or squashing to the same height. #' #' Sometimes, bar charts are used not as a distributional summary, but #' instead of a dotplot. Generally, it's preferable to use a dotplot (see #' \code{geom_point}) as it has a better data-ink ratio. However, if you do #' want to create this type of plot, you can set y to the value you have #' calculated, and use \code{stat='identity'} #' #' A bar chart maps the height of the bar to a variable, and so the base of #' the bar must always been shown to produce a valid visual comparison. #' Naomi Robbins has a nice #' \href{http://www.b-eye-network.com/view/index.php?cid=2468}{article on this topic}. #' This is the reason it doesn't make sense to use a log-scaled y axis with a bar chart #' #' @section Aesthetics: #' \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "bar")} #' #' @seealso \code{\link{stat_bin}} for more details of the binning alogirithm, #' \code{\link{position_dodge}} for creating side-by-side barcharts, #' \code{\link{position_stack}} for more info on stacking, #' @export #' @inheritParams geom_point #' @examples #' \donttest{ #' # Generate data #' c <- ggplot(mtcars, aes(factor(cyl))) #' #' # By default, uses stat="bin", which gives the count in each category #' c + geom_bar() #' c + geom_bar(width=.5) #' c + geom_bar() + coord_flip() #' c + geom_bar(fill="white", colour="darkgreen") #' #' # Use qplot #' qplot(factor(cyl), data=mtcars, geom="bar") #' qplot(factor(cyl), data=mtcars, geom="bar", fill=factor(cyl)) #' #' # When the data contains y values in a column, use stat="identity" #' library(plyr) #' # Calculate the mean mpg for each level of cyl #' mm <- ddply(mtcars, "cyl", summarise, mmpg = mean(mpg)) #' ggplot(mm, aes(x = factor(cyl), y = mmpg)) + geom_bar(stat = "identity") #' #' # Stacked bar charts #' qplot(factor(cyl), data=mtcars, geom="bar", fill=factor(vs)) #' qplot(factor(cyl), data=mtcars, geom="bar", fill=factor(gear)) #' #' # Stacked bar charts are easy in ggplot2, but not effective visually, #' # particularly when there are many different things being stacked #' ggplot(diamonds, aes(clarity, fill=cut)) + geom_bar() #' ggplot(diamonds, aes(color, fill=cut)) + geom_bar() + coord_flip() #' #' # Faceting is a good alternative: #' ggplot(diamonds, aes(clarity)) + geom_bar() + #' facet_wrap(~ cut) #' # If the x axis is ordered, using a line instead of bars is another #' # possibility: #' ggplot(diamonds, aes(clarity)) + #' geom_freqpoly(aes(group = cut, colour = cut)) #' #' # Dodged bar charts #' ggplot(diamonds, aes(clarity, fill=cut)) + geom_bar(position="dodge") #' # compare with #' ggplot(diamonds, aes(cut, fill=cut)) + geom_bar() + #' facet_grid(. ~ clarity) #' #' # But again, probably better to use frequency polygons instead: #' ggplot(diamonds, aes(clarity, colour=cut)) + #' geom_freqpoly(aes(group = cut)) #' #' # Often we don't want the height of the bar to represent the #' # count of observations, but the sum of some other variable. #' # For example, the following plot shows the number of diamonds #' # of each colour #' qplot(color, data=diamonds, geom="bar") #' # If, however, we want to see the total number of carats in each colour #' # we need to weight by the carat variable #' qplot(color, data=diamonds, geom="bar", weight=carat, ylab="carat") #' #' # A bar chart used to display means #' meanprice <- tapply(diamonds$price, diamonds$cut, mean) #' cut <- factor(levels(diamonds$cut), levels = levels(diamonds$cut)) #' qplot(cut, meanprice) #' qplot(cut, meanprice, geom="bar", stat="identity") #' qplot(cut, meanprice, geom="bar", stat="identity", fill = I("grey50")) #' #' # Another stacked bar chart example #' k <- ggplot(mpg, aes(manufacturer, fill=class)) #' k + geom_bar() #' # Use scales to change aesthetics defaults #' k + geom_bar() + scale_fill_brewer() #' k + geom_bar() + scale_fill_grey() #' #' # To change plot order of class varible #' # use factor() to change order of levels #' mpg$class <- factor(mpg$class, levels = c("midsize", "minivan", #' "suv", "compact", "2seater", "subcompact", "pickup")) #' m <- ggplot(mpg, aes(manufacturer, fill=class)) #' m + geom_bar() #' } geom_bar <- function (mapping = NULL, data = NULL, stat = "bin", position = "stack", ...) { GeomBar$new(mapping = mapping, data = data, stat = stat, position = position, ...) } GeomBar <- proto(Geom, { objname <- "bar" default_stat <- function(.) StatBin default_pos <- function(.) PositionStack default_aes <- function(.) aes(colour=NA, fill="grey20", size=0.5, linetype=1, weight = 1, alpha = NA) required_aes <- c("x") reparameterise <- function(., df, params) { df$width <- df$width %||% params$width %||% (resolution(df$x, FALSE) * 0.9) transform(df, ymin = pmin(y, 0), ymax = pmax(y, 0), xmin = x - width / 2, xmax = x + width / 2, width = NULL ) } draw_groups <- function(., data, scales, coordinates, ...) { GeomRect$draw_groups(data, scales, coordinates, ...) } guide_geom <- function(.) "polygon" }) ggplot2/NEWS0000644000175100001440000021262212114161113012341 0ustar hornikusersggplot2 0.9.3.1 ---------------------------------------------------------------- BUG FIXES * The theme element `legend.box.just` now can be set. It was not properly recognized before. * `stat_density2d` previously resulted in errors when geom="polygon". This is fixed. (Fixes #741 and #749) * `annotation_logticks` previously drew one set of logticks for each group, and inherited aesthetic mappings like colour. It no longer does this. (Fixes #767) * Plots with geom_crossbar not display correct symbol in legend. (Fixes #768) * Grouping is no longer set automatically by `stat_summary()`, allowing for summary paths. This reverts a change made for 0.9.3. (Fixes #732 and #739) ggplot2 0.9.3 ---------------------------------------------------------------- * The `plotmatrix` function has been deprecated and prints a warning message. * `stat_bin` now produces warning messages when it is used with set or mapped y values. Previously, it was possible to use `stat_bin` and also set/map y values; if there was one y value per group, it would display the y values from the data, instead of the counts of cases for each group. This usage is deprecated and will be removed in a future version of ggplot2. (Winston Chang. Fixes #632) * Several small changes were made so that ggplot2 is compatible with plyr <= 1.7.1 as well as plyr > 1.7.1. * `geom_polygon` draws multiple polygons as a single grob instead of as separate grobs. This results in much better performance. For example, drawing a world map is about 12 times faster. (Winston Chang. Fixes #666) MINOR FEATURES * A new theme `theme_minimal` has been added. This theme is based on `theme_bw`, but does not have outlines around many of the rectangular elements. (Baptiste Auguie) * A new theme `theme_classic` has been added. This theme has is based on `theme_bw`. It has x and y axis lines, but no box around the plotting area and no grid lines. (Thanks to David Kahle) * `geom_segment` allows setting `lineend`. (Jean-Olivier Irisson) * `ggsave` raises an error when making images larger than 50x50 inches. This prevents accidentally creating extremely large bitmap images that hang R and eat up memory. (Winston Chang. Fixes #517) * `train_cartesian` and `train_trans` are no longer memoized. Previously the results of these functions were saved and so they would not respond changes in the operating environment, such as a change in locale. (Winston Chang. Fixes #592) * In `stat_ydensity` and `geom_violin`, the `scale` argument now accepts the value "width", for equal widths. Additionally `scale="equal"` has been deprecated, in favor of "area". (Jean-Olivier Irisson) * `stat_quantile` now supports `rqss`. * `scale_size_area` has been added as a replacement for `scale_area`. This makes the naming more consistent. The new scale also by default makes the area of points proportional to the value, which is different from what `scale_area` does. (Fixes #635) * Functions now have gradual deprecation behavior with the `gg_dep` function. * Scales for required but missing aesthetics (x and y) are now automatically added. (Fixes #676) * `geom_crossbar` previous raised a warning when notches were used and the notches went outside the hinges. This has been changed to a message. BUG FIXES * With `geom_segment`, when a variable mapped to `linetype` had an NA value, it would raise an error. This is now fixed. (Winston Chang. Fixes #623) * When using `coord_map` with some projections, latitude lines wrapped around the globe and added extra lines. (Winston Chang. Fixes #562) * `stat_summary` now calculates a unique value at each x. (Winston Chang. Fixes #622) * Colorbar guides now supports language objects returned from functions like `math_format()`, and will render them as expressions. (Kohske Takahashi) * When using `coord_polar`, NA or NaN values caused errors. They are now ignored instead. (Winston Chang) * Text theme elements used in `guide_legend`, such as `label.theme`, caused confusing errors when the angle wasn't set. Now it produces a more informative error message. * Theme elements now have their subclass listed first, before the `element` class. (Thanks to Jeffrey Arnold) * Previously when free scales were used with non-cartesian coords, they just wouldn't work. Now ggplot throws an error with an informative message. (Fixes #673) * `geom_dotplot` previously worked with `position="dodge", but did not work when using `position=position_dodge()`. It now works with both. (Fixes #709) * For linetype scales, NA values previously caused errors. Now `na.value` for linetype scales defaults to "blank". (Fixes #711) ggplot2 0.9.2.1 ---------------------------------------------------------------- BUG FIXES * find_global now searches for objects in the namespace environment instead of the package environment. This fixes problems when ggplot2 is imported to another package but not attached. ggplot2 0.9.2 ---------------------------------------------------------------- THEME SYSTEM * The theme system has been completely rewritten. (Winston Chang) * The functions `theme_text`, `theme_line`, and so on have been renamed to `element_text`, `element_line`, and so on. * The `opts()` function has been renamed to `theme()`. * To set the plot title, use `labs(title = "...")` or `ggtitle("...") instead of `opts(title = "...")`. * Elements are now just lists of properties, instead of functions that return grobs. * Theme elements now can inherit properties. For example, `axis.title.x` inherits properties from `axis.title`, which in turn inherits from `text`. The inheritance tree is stored in ggplot2::.element_tree. * Theme objects can now be added to each other with `+`, without a ggplot object. There is also a new `%replace%` operator for adding theme objects together. * Vertical and horizontal grid lines can now be controlled independently, with `axis.grid.major.x`, `axis.grid.major.y` (and the same for minor); `axis.ticks.x` and `axis.ticks.y`; and `axis.line.x` and `axis.line.y`. * The `size` property of theme elements can be defined relative to the parent objects, using the `rel()` function. MINOR FEATURES * ggplot2 now uses the external gtable package instead of internal gtable functions. * The condition that set parameters (e.g. `colour = "red"`) could only be of length one has been relaxed - they may now be of length one, or exactly the same length as the data. Recycling is not done because it makes it harder to spot problems. This makes `annotate` considerably more flexible. (Fixes #489) * `stat_contour` is now somewhat faster * new stat class `stat_ecdf` that shows empirical cumulative distribution function. (Kohske Takahashi) * Dependency on `gpclib` removed, and `fortify.SpatialPolygonsDataFrame` will now use `rgeos` if available - this is particularly useful if you're not able to use the non-free `gpclib`. * `ggsave` now supports emf output files. * all "template" plots (`plotmatrix`, `ggorder` etc) have been deprecated and will be removed in a future version. These plots are poorly tested and poorly supported and really belong in a separate package. * The default guide for continuous color/fill scale is now colourbar. (Kohske Takahashi. Fixes #555) * The arrowhead of geom-path and geom-segment with `arrow = TRUE` is now filled with the same colour as the path. * The algorithm for calculating breaks locations has been changed from `pretty_breaks()` to `extended_breaks()` from the 'labeling' package by Justin Talbot. (Winston Chang. Fixes #580) * `scale_type`, the function used to pick which type of scale should be used for a given type of input variable is now an S3 generic. That means that if you want to add a new default type of scale you can provide a method - it should return a string giving the name of the scale to use (e.g. "continuous", "discrete", "date") * When there are multiple guides (legends), the order that they are displayed can now be controlled manually. (Kohske Takahashi. Fixes #470) * When a scale for a given aesthetic is added to a plot more than once, display a message indicating that the first scale will be replaced. (Winston Chang. Fixes #518) DOCUMENTATION * All geoms and stats now document their aesthetics. (Thanks to joranE. Fixes #447) BUG FIXES * `scale_x_continuous` now respects `na.value` (Fixes #522) * `geom_map` now correctly uses set aesthetics (e.g. `colour = "green"`) * Setting breaks outside the limits of the x or y axis no longer causes errors. (Kohske Takahashi. Fixes #552) * `facet_locate` no longer evaluates unneeded expressions. (Winston Chang. Fixes #565) * `annotation_map` now gets group id from munched data. (Winston Chang. Fixes #568) * `geom_raster` now supports alpha. (Kohske Takahashi. Fixes #596) * Both axis lines are now drawn above the plotting area panel. (Winston Chang. Fixes #585) * The jitter resolution is now correctly calculated when the data does _not_ include zero. (Thanks to Karl Ove Hufthammer. Fixes #572) * Legend icons for `geom_boxplot` now display linetype. (Kohske Takahashi. Fixes #608) * Facets now appear in the correct order when layers with different factor levels are added. (Winston Chang. Fixes #543) * Distances in polar coordinates are calculated along spiral arcs, instead of straight-line distance. (Winston Chang. Fixes #471) * `fortify.SpatialPolygonsDataFrame` now uses the correct ordering. (Charlotte Wickham. Fixes #434) * `stat_vline` and `stat_hline` no longer throw errors when `xintercept` and `yintercept` are passed to them. (Winston Chang. Fixes #624) ggplot2 0.9.1 ---------------------------------------------------------------- MINOR FEATURES * `ggstructure` and `ggorder`, which call `ggpcp`, no longer have a `scale` argument since `ggpcp` does not have one. * built in datasets have been checked to make sure they use characters, factors and ordered factors appropriately * `geom_raster` and `annotation_raster` gain new `interpolate` argument for controlling whether or not rasters are interpolated * Added `plot` as an alias for `print` for ggplot objects. * Visual tests have been moved to /visual_test and modified to work with the vtest package. (Thanks to Winston Chang) * `geom_dotplot`: now supports stacking. It uses `stackgroups = TRUE` instead of the usual position="stack", for technical reasons. It also will stack in the x direction when binning along the y axis. (Thanks to Winston Chang) * `geom_rug` now allows control over which sides to put the rug lines, with the `sides` argument. (Thanks to Winston Chang) * `annotation_logticks`: a new geom that adds tick marks on the inside of the plotting rectangle that have diminishing spacing for log-10 axes. (Thanks to Winston Chang) * Coordinate expansion is now handled by an interaction of the scale and coord, rather than by the scale only. Also, the `wise` argument is no longer needed. (Thanks to Winston Chang and Kohske Takahashi) BUG FIXES * `facet_grid` no longer drops duplicate cases (Fixes #443) * `munch_range` properly reports the x and y range. (Thanks to Winston Chang) * `stat_bin2d` handles data with NA in the position variables. Error was triggered when scale was limited to a range smaller than the range of the data. (Bug reported by Tao Gao; diagnosed and fixed by Brian Diggs) * `scale_*_identity` will now produce a legend when `guide = "legend"` and no breaks or labels are supplied (Fixes #453) * `geom_map` now works with `coord_map` (Fixes #480) * discrete scales now accept named vectors of labels again (Fixes #427) * `geom_raster` works better with categorical input (Fixes #463) * `qplot` no longer uses non-standard evaluation for geom/stat arguments - it doesn't seem to be needed and was causing problems when qplot was used in special environments (e.g. in knitr) (Fixes #377) * `coord_train.polar` and `coord_train.trans` remove NAs from breaks. (Thanks to Winston Chang. Fixes #422) * Theta breaks with `coord_polar` have equal angular spacing. (Thanks to Winston Chang and Kohske Takahashi. Fixes #288) * Empty data frames are now handled correctly: layers with empty data are dropped silently, instead of inheriting data from the plot. (Thanks to Winston Chang. Fixes #31, #332, #506 and #507) * The alpha value of set colours is now preserved by default. To return to the old behaviour, set `alpha = 1`. (Fixes #475) * `scale_*_manual` will throw an error if you have too few values. (Fixes #512) * `facet_wrap` gets the `as.table` argument back. (Fixes #497) * `resolution` now returns 1 when range is zero. (Fixes #526) * Titles are displayed above legend when legend is on top. (Thanks to Kohske Takahashi. Fixes #432) * Specifying breaks outside coord limits works. (Thanks to Kohske Takahashi. Fixes #430) * `renames_aes` now uses exact matching instead of partial matching. (Thanks to Winston Chang. Fixes #529) * `labs()` now works with American spellings. (Thanks to Winston Chang. Fixes #521) * `stat_density2d` sets the limits for `kde2d` from the limits of the x and y scales. (Thanks to Winston Chang) ggplot2 0.9.0 ---------------------------------------------------------------- NEW FEATURES * `annotation_custom`: a new geom intended for use as static annnotations that are the same in every panel. Can be used to add inset plots, tables, and other grid-based decorations inside the plot area (Contributed by Baptiste Auguié). * `geom_map`: a new special case of `geom_polygon` useful when you are drawing maps, particularly choropleth maps. It is matched with `annotation_map`, an even faster special case when you want the same map drawn in each panel. * `geom_raster` is a special case of `geom_tile` for equally sized rectangular tiles. It uses the raster functionality of R graphics devices for massively increased speed and much decreased file sizes. It is matched with `annotation_raster`, an even faster special case, for when you want to draw the same raster in each panel. * `geom_violin`: an implementation of violin plots, which are a way of visualizing kernel density estimates. (Thanks to Winston Chang) * `geom_dotplot`: dot plots, as described in Wilkinson (1999). To bin the data, it uses `stat_bindot` to bin the data, which has two methods: histodot and dot-density. Histodot binning uses fixed-width bins just like `stat_bin`, while dot-density binning uses variable-width bins. A new grob, `grob_dotstack` is used to render the dots. (Thanks to Winston Chang) * New fortify methods have been added for objects produced by the `multcomp` package. * `stat_summary2d` and `stat_summary_hex`. These are work like `stat_bin2d` and stat_binhex but allow any summarisation function (instead of just count). They are 2d analogs of `stat_summary` * `facet_grid`: The space argument now supports `free_x` and `free_y` next to `free` and `fixed, this allows the user to adjust the spatial scaling of the facets in either the x or y direction. This is especially useful when the scales are very different. In this case space = `free` could make some facets very small. (Thanks to Willem Ligtenberg) DOCUMENTATION * Thorough clean up and checking, including documenting all arguments, adding systematic cross-references, and adding commonly requested examples. Thanks to Jake Russ and Dennis Murphy for the help. * Complete series of aesthetics pages (grouped subsets of aesthetics) with examples of how to use the major ones, see e.g. `?fill`, `?shape`, `?x`, * Added a complete list of theme opts with usage examples in `?opts` * Added "translate" pages to demonstrate usage between qplot and ggplot, GPL, base and lattice graphics: `?translate_qplot_base`, `?translate_qplot_gpl`, `?translate_qplot_lattice`, `?translate_qplot_ggplot`, SCALES * Scales have been rewritten to use the new `scales` package, which does a much better job at defining what a scale is and making it easier for you to create your own scales. Scales should now behave much more consistently, and it should be easier for me to add new features in the future. * `breaks` parameter can now be a function, which will be passed the scale limits and expected to return a character vector of breaks * `labels` parameter can now be a function - this replaces the previous formatter function that only some scales possessed, and the `major` argument to the data time scales. This function should take a vector of breaks as input, and return a character vector or list of expressions as output. See `comma_format`, `dollar_format`, `percent_format`, `scientific_format`, `parse_format` and `math_format` for examples * Transformations are now provided by the scales package - see `?trans_new` for list of available transformations, and how to create your own. The transformations in this package should do a better job at computing default breaks. * Transformations for continuous scales are now detected automatically when the default scales are added. This ensures that dates and date times will display correctly when used for any aesthetic - previously they only worked with position scales. The system is now also easier to extend to new types of continuous data that you might want to plot. (Fixes #48) * All scales now accept a `na.value` parameter which provides an aesthetic value to be used for `NA` values in the data. Colour/fill scales default to grey, which should stand out as different from non-missing values. * The new `oob` (out of bounds) parameter controls how scales deals with values outside the limits. The default action is `censor` - see `clip` for another option. * Only `scale_x_log10`, `scale_x_sqrt` and `scale_x_reverse` provided as convenience functions for x and y scales. Use e.g. `scale_x_continuous(trans = "log")` to access others * `set_default_scale` has been removed. If you want to change the default scale for an aesthetic, just create a function called `scale_aesthetic_continuous` or `scale_aesthetic_discrete` that returns the scale that you want. For example: p <- qplot(mpg, wt, data = mtcars, colour = factor(cyl)) p scale_colour_discrete <- scale_colour_brewer p * Scales now automatically shrink to what is actually displayed on the plot, not the underlying data used for statistical transformation. If you want the old behaviour, supply `shrink = FALSE` to the facetting specification. (Fixes #125) * `scale_colour_gradient` and `scale_fill_gradient` now use a colour scheme with constant hue but varying chroma and luminance. This is better because it creates a natural ordering inline with the order of the colour values. FACETS * Converted from proto to S3 objects, and class methods (somewhat) documented in `facet.r`. This should make it easier to develop new types of facetting specifications. * The new `facet_null` specification is applied in the default case of no faceting. This special case is implemented more efficiently and results in substantial performance improvements for non-facetted plots. * Facetting variables will no longer interfere with aesthetic mappings - `facet_wrap(~ colour)` will no longer affect the colour of points. DEVELOPMENT * ggplot2 has moved away from the two (!!) homegrown documentation systems that it previously relied on, and now uses roxygen extensively. The current downside is that this means that ggplot2 website can no longer be updated, but I hope work with the `helpr` package will resolve that shortly. * ggplot2 now uses a `NAMESPACE`, and only exports functions that should be user visible - this should make it play considerably more nicely with other packages in the R ecosystem. Note that this means you now need to explicitly load `plyr` (and other packages) if you are using them elsewhere in your code. * ggplot2 now has a start on a set of automated tests. As this test suite expands it will help me ensure that bugs stay fixed, and that old bugs don't come back in new versions. A test suite also gives me more confidence when I'm modifying code, which should help with general code quality. COORDS * Converted from proto to S3 objects, and class methods (somewhat) documented in `coord.r`. This should make it easier to develop new types of coordinate systems. * Added a new method `coord_range` for finding the x and y range even after coordinates have been transformed to other names (eg., theta and r). (Thanks to Winston Chang) RENDERING * When printing a ggplot2 object, the rendered plot information is returned invisibly. You can capture this with (e.g.) `x <- print(qplot(mpg, wt, data = mtcars))` and in the future will be able to use it to get information about the plot computations, such as the range of all the scales, and the exact data that is plotted. * Drawing a plot takes place in three documented steps: `ggplot_build` which creates a list of data frames ready for rendering builds, `ggplot_gtable` which creates a `gtable` of grobs, and `grid.draw` which renders the grobs on screen. Each of these returns a data structure which should be useful for understanding and modifying the rendered plot. This is still a work in progress, so please ask questions if anything is confusing. * The `drop` and `keep` parameters to `ggsave` and `print.ggplot` have been dropped, as the data structure returned by `ggplot_gtable` is sufficiently rich enough to remove the need for them. * Axis labels are now centred underneath the panels (not the whole plot), and stick close to the panels regardless of the aspect ratio. GUIDES * Guides (particularly legends) have been rewritten by Kohske Takahashi to provide considerably more layout flexibility. * `guide_legend` now supports multi-row/column legend and reversed order, gives more flexible positioning of title and label, and can override aesthetics settings. This is useful, for example, when alpha value in a panel is very low but you want to show vivid legend. * `guide_colorbar` is a guide specially for continuous colour scales as produced by colour and fill scales. MINOR CHANGES * `geom_text` now supports `fontfamily`, `fontface`, and `lineheight` aesthetics for finer control over text display. (Thanks to Kohske Takahashi for the patch. Fixes #60) * `collide`, which powers `position_dodge` and `position_stack`, now does not error on single x values (Thanks to Brian Diggs for a fix. #157) * `...` in `ggplot` now passed on to `fortify` method when used with an object other than a data frame * `geom_boxplot`: outlier colour and shape now default to values set by the aesthetic mapping (thanks to suggestion by Ben Bolker), the width of the median line is now `fatten` times the width of the other lines (thanks to suggestion by Di Cook), and the line type can now be set. Notched box plots are now supported by setting `notch = TRUE` (thanks to Winston Chang for the patch). * `ggsave` can work with cm and mm `units` (Thanks to patch from Jean-Olivier Irisson) * `scale_shape` finally returns an error when you try and use it with a continuous variable * `stat_contour` no longer errors if all breaks outside z range (fixes #195). * `geom_text` remove rows with missing values with warning (fixes #191) * New generic function `autoplot` for the creation of complete plots specific to a given data structure. Default implementation throws an error. It is designed to have implementations provided by other packages. (Thanks to suggestion by Brian Diggs) * `ggpcp` loses the `scale` argument because it relied on reshape(1) code * `map_data` passes `...` on to `maps::map` (Fixes #223) * `coord_fixed` accepts `xlim` and `ylim` parameters to zoom in on x and y scales (Fixes #91) * ggplot2 will occasionally display a useful hint or tip on startup. Use `suppressPackageStartupMessages` to eliminate * `stat_binhex` uses correct bin width for computing y axis bounds. (Fixes #299, thanks to Dave Henderson for bug report and fix.) * `stat_smooth` now adjusts confidence intervals from `loess` using a t-based approximation * `stat_smooth` reports what method is used when method is "auto". It also picks the method based on the size of the largest group, not individually by group. (Thanks to Winston Chang) * `stat_bin` and `geom_histogram` now use right-open, left-closed intervals by default. Use `right = TRUE` to return to previous behaviour. * `geom_vline`, `geom_hline`, and `geom_abline` now work with non-Cartesian coordinate systems. (Thanks to Winston Chang) ggplot2 0.8.9 ---------------------------------------------------------------- A big thanks to Koshke Takahashi, who supplied the majority of improvements in this release! GUIDE IMPROVEMENTS * key size: can specify width and height separately * axis: can partially handle text rotation (issue #149) * legend: now can specify the direction of element by opts(legend.direction = "vertical") or opts(legend.direction = "horizontal"), and legend box is center aligned if horizontal * legend: now can override the alignment of legend box by opts(legend.box = "vertical") or opts(legend.box = "horizontal") * legend: now can override legend title alignment with opts(legend.title.align = 0) or opts(legend.title.align = 1) * legend: can override legend text alignment with opts(legend.text.align = 0) or opts(legend.text.align = 1) BUG FIXES * theme_*: can specify font-family for all text elements other than geom_text * facet_grid: fixed hirozontal spacing when nrow of horizontal strip >= 2 * facet_grid: now can manually specify the relative size of each row and column * is.zero: now correctly works * +: adding NULL to a plot returns the plot (idempotent under addition) (thanks to suggestion by Matthew O'Meara) * +: meaningful error message if + doesn't know how to deal with an object type * coord_cartesian and coord_flip: now can wisely zoom when wise = TRUE * coord_polar: fix point division bugs * facet_grid: now labels in facet_grid are correctly aligned when the number of factors is more then one (fixes #87 and #65) * geom_hex: now correctly applies alpha to fill colour not outline colour (thanks to bug report from Ian Fellows) * geom_polygon: specifying linetype now works (thanks to fix from Kohske Takahashi) * hcl: can now set c and l, and preserves names (thanks to suggestion by Richard Cotton) * mean_se: a new summary function to work with stat_summary that calculates mean and one standard error on either side (thanks to contribution from Kohske Takahashi) * pos_stack: now works with NAs in x * scale_alpha: setting limits to a range inside the data now works (thanks to report by Dr Proteome) * scale_colour_continuous: works correctly with single continuous value (fixes #73) * scale_identity: now show legends (fix #119) * stat_function: now works without y values * stat_smooth: draw line if only 2 unique x values, not three as previously * guides: fixed #126 * stat_smooth: once again works if n > 1000 and SE = F (thanks to bug report from Theiry Onkelinx and fix from Kohske Takahashi) * stat_smooth: works with locfit (fix #129) * theme_text handles alignment better when angle = 90 ggplot2 0.8.8 ---------------------------------------------------------------- Bug fixes: * coord_equal finally works as expected (thanks to continued prompting from Jean-Olivier Irisson) * coord_equal renamed to coord_fixed to better represent capabilities * coord_polar and coord_polar: new munching system that uses distances (as defined by the coordinate system) to figure out how many pieces each segment should be broken in to (thanks to prompting from Jean-Olivier Irisson) * fix ordering bug in facet_wrap (thanks to bug report by Frank Davenport) * geom_errorh correctly responds to height parameter outside of aes * geom_hline and geom_vline will not impact legend when used for fixed intercepts * geom_hline/geom_vline: intercept values not set quite correctly which caused a problem in conjunction with transformed scales (reported by Seth Finnegan) * geom_line: can now stack lines again with position = "stack" (fixes #74) * geom_segment: arrows now preserved in non-Cartesian coordinate system (fixes #117) * geom_smooth now deals with missing values in the same way as geom_line (thanks to patch from Karsten Loesing) * guides: check all axis labels for expressions (reported by Benji Oswald) * guides: extra 0.5 line margin around legend (fixes #71) * guides: non-left legend positions now work once more (thanks to patch from Karsten Loesing) * label_bquote works with more expressions (factors now cast to characters, thanks to Baptiste Auguie for bug report) * scale_color: add missing US spellings * stat: panels with no non-missing values trigged errors with some statistics. (reported by Giovanni Dall'Olio) * stat: statistics now also respect layer parameter inherit.aes (thanks to bug report by Lorenzo Isella and investigation by Brian Diggs) * stat_bin no longer drops 0-count bins by default * stat_bin: fix small bug when dealing with single bin with NA position (reported by John Rauser) * stat_binhex: uses range of data from scales when computing binwidth so hexes are the same size in all facets (thanks to Nicholas Lewin-Koh for the bug report) * stat_qq has new dparam parameter for specifying distribution parameters (thanks to Yunfeng Zhang for the bug report) * stat_smooth now uses built-in confidence interval (with small sample correction) for linear models (thanks to suggestion by Ian Fellows) * stat_spoke: correctly calculate stat_spoke (cos and sin were flipped, thanks to Jean-Olivier Irisson for bug report and fix) ggplot2 0.8.7 ---------------------------------------------------------------- * coord_map gains xlim and ylim arguments to control region of projection * corrected label generation for computed aesthetics (..x..) and special names (`x x`) * fullseq: now always returns vector of length two, even when range is 0 * geom_point legend takes more care to ensure that fill colours will be shown * legend: fixed scale merging bug when labels were set manually * scale_area: gains a legend argument like all other scales * scale_colour_brewer: gains na.colour argument to set colour of missing values * stat_bin2d: fix typo in breaks calculation * stat_bin: deals with floating point rounding issues using the same algorithm as base::hist * stat_density2d: fixed bug when contour = FALSE (Thanks to Takahashi Kohske) ggplot2 0.8.6 ---------------------------------------------------------------- NEW FEATURES * trans_log1p: new log + 1 transformer contributed by Jean-Olivier Irisson BUG FIXES * aesthetics: fixed bug when overriding aesthetics with NULL * annotate: adds layers with legend = FALSE * coord_equal: correctly place tick marks (Fixes #61) * documentation: usage statements should now be spread over multiple lines * fortify.SpatialPolygonsDataFrame: fixed bug when region variable had missing values * legend: don't try and display legend when unnecessary scale added * legend: text labels now correctly left-aligned when non-numeric * order aesthetic now correctly affects position adjustments (Fixes #70) * qplot loads facetting variables from global environment more correctly * scale_date and scale_date_time now work with infinite positions * scale_date and scale_date_time now take expand argument * scales were not getting automatically added in many situations (Fixes #69) * scale_manual was not returning labels in the correct format and so legends were not getting merged correctly * stat_contour: fix error if x or y coordinates were negative * stat_bin: now copes with bars of zero height (Fixes #72) * stat_qq: always use sorted data (rather than interpolated quantiles) on sample axis. This makes it behave more like qqnorm * stat_quantile: correctly group results * xlim now works with datetimes * all plyr functions prefixed with their namespace to avoid clashes with other packages (thanks to Steve Lianoglou) ggplot2 0.8.5 ---------------------------------------------------------------- NEW FEATURES * geom_text gains parse argument which makes it possible to display expressions. (Implements #50) * all scales now have legend parameter, which defaults to TRUE. Setting to false will prevent that scale from contributing to the legend (Implements #27) * default axis labels and legend titles are now stored in the options, instead of in each scale. This fixes a long standing bug where it was not easy to set the label for computed variable, such as the y axis on a histogram. Additionally, it means default scales are only added to the plot until just prior to plotting, instead of the previous behaviour where scales where added as layers were added - this could cause problems if you later modified the underlying data. (Implements #28) * coord_equal: when ratio = NULL (the default), it will adjust the aspect ratio of the plot, rather than trying to extend the shortest axis. * x and y positions can be set to Inf or -Inf to refer to the top/right and bottom/left extents of the panel. (Implements #18) * expand_limits(): a new function to make it easy to force the inclusion of any set of values in the limits of any aesthetic. NEW FEATURES (MINOR) * aesthetics: when _setting_ an aesthetic, you may only set it to a single value. This was always a good idea, but now it is enforced with an informative error message. * stat_contour bump up default number of contours * stat_density2d: make number of grid points used for density estimation user controllable (implements #9) * geom_bin now allows you to set whether bins used intervals of the form (a, b] or [a, b) with the "right" parameter (implements #20) * geom_path: linejoin, lineend and linemitre are now user controllable (implements #24) * scales: all scales check that breaks are supplied if labels are, and that breaks and labels are the same length (implements #40) * scales: if breaks are a named vector, the names will be used as labels (thanks to suggestion by David Kahle) * scale_colour_gradient, scale_colour_gradient2 & scale_colour_gradientn now have formatter argument to match scale_continuous * updated citation to refer to the ggplot2 book BUG FIXES * coord_cartesian now correctly sets limits when one or both of the position scales are non-linear. (fixes #17) * coord_equal: now works with non-linear scales (fixes #13) * coord_map sets aspect ratio correctly (fixes #4) * coord_polar correctly combines labels on end of axis if expressions (fixes #39) * coord_trans now respects scale expand parameter (expansion occurs after transformation) (fixes #14) * facet_grid with scales = "free" and space = "free" now calculates space correctly if the range of the scale is < 1 (fixes #1) * facet_grid works once more when facetting with multiple variables in one direction (fixes #11) * facet_wrap now sets aspect ratio correctly * facet_wrap now maintains original order of data * geom_hline and geom_vline now work with coord_flip (fixes #30) * geom_path drops missing values at start and end of each line (fixes #41) * scale_shape_discrete, scale_size_continuous, scale_alpha and scale_linetype_discrete added to scales to match naming convention of all other scales (fixes #47) * legends now correctly calculate label widths (fixes #38) * legends will only merge if both the title and all labels are the same. (fixes #16) * legends: fix for bug #19: Legend with three constraints doesn't work * stat_contour & stat_density2d: fix grouping bugs (issue #7) * xlim, ylim: fix bug when setting limits of discrete scales ggplot2 0.8.4 ---------------------------------------------------------------- * aes and aes_string both convert prefixes to full names * aesthetics: corrected list of aesthetics to include american spelling of colour as well as base R abbreviations * aesthetics: fix bug in detecting which aesthetics are calculated * aes_string treats NULL as "NULL" * annotate now works with missing x and y (e.g. for geom_rect) * continuous scale limits now automatically sorted * coord_polar: fix bug if breaks not all inside limits * facet_wrap: can now specify both ncol and nrow without getting an error * facet_wrap: now works with statistics that produce both x and y values (e.g. stat_qq) * fullseq now adds additional break on bottom if necessary, so that the include.lowest argument in cut never comes into play (this the source of a potential bug in histograms) * geom_boxplot: alpha now affects fill colour of boxes only * geom_path correctly switches to segments if varying alpha used (thanks to Karl Ove Hufthammer for the report and Baptiste Auguie for the fix) * geom_point: the alpha aesthetic now also affects the fill. * geom_ribbon always sorts input to avoid problems with certain pathological inputs * geom_smooth was incorrectly applying alpha to line colour in the legend * nullGrob renamed to zeroGrob to avoid name conflict with grid * position_collide now works with missing values * position_stack: fixed bug in detection of overlap for negative values * scale_discrete_position now uses drop argument to force dropping of unused levels * scale_gradient, scale_gradient2 and scale_gradientn now uses label parameters, if supplied * scale_x_inverse, scale_y_inverse now actually work, and added recip as alias * stat_qq now correctly groups results * stat_smooth will not try and fit a line to 2 or fewer points (previously didn't try for only 1 point) * stat_spoke now works with reversed scales * grouping: now consistent between different geoms (Issue #33) ggplot2 0.8.3 ---------------------------------------------------------------- New features * alpha: new aesthetic, with scale alpha. Where a geom has both fill and colour, alpha affects the fill. * annotate: new annotate function to make it easier to add annotations to plots * facet_grid now takes strip label function from parameter labeller, not theme setting * facet_grid: gains as.table argument to control direction of horizontal facets * fortify: full set of methods for turning data from the sp package into data frames that can be plotted with ggplot2 * geom_errorbarh: new geom for horizontal error bars * labels_parsed and labels_bquote functions to make it easier to display expressions on facet labels * scale_manual now supports breaks and limits * subset: experimental new feature. Layers now have a subset argument, which takes subsets formatted like .(var1 < 5, var2 == 3) etc. * xlim and ylim now work recognise Date and POSIXct classes to create date and date_time scales respectively Dealing with missing values * facet_wrap: add drop argument to control whether or not panels for non-existent combinations of facetting variables should be dropped or not. Defaults to TRUE * scale_discrete: empty factor levels will be preserved, unless drop = TRUE Bug fixes * added presidents dataset from book to package * American spelling of color accepted in as geom parameter, and all colour scales have alias spelled color (e.g. scale_color_hue) * facet_wrap: contents guaranteed to be clipped to panel * facet_wrap: corrected labelling when facetting by multiple variables (thank to Charlotte Wickham for a clear test case) * geom_histogram now works with negative weights (provided position = "identity"). This is useful for creating back to back histograms. * geom_step: improve legend * geom_text: better legend * geom_vline, geom_hline, geom_abline: should work in yet more situations * resolution: fixed bug in computation of resolution that lead to (e.g.) incorrect boxplot widths when there was only a single x value in a group. * position_stack: fixed bug in detection of overlap for very large bins * scale_discrete: factor levels no longer mistakenly reordered * scale_hue: now spans full range of hue if it less than 360 degrees * scale_hue: rotated default hue range by 15 degrees to avoid unfortunate red-green contrast in two colour case * show now works with ggplot objects * stat_sum: fixed bug which resulted in dropped aesthetics * stat_summary: now warns when dropping records with missing values * stat_summary: should be a little faster * stat_summary: correctly passes ... arguments on fun.data * theme_bw: corrected justification of axis.text.y * trans: bug fixes to logistic transformation * order aesthetic should work again ggplot2 0.8.2 ---------------------------------------------------------------- New features * borders, fortify.map and map_data to make it easier to draw map borders and choropleth maps * cut_interval and cut_number utility functions to discretise continuous variables * stat_summary has reparameterised to make it easier to specify different summary functions. It now has four parameters: fun.y, fun.ymin and fun.ymax; and fun.data. See the documentation for stat_summary for more details Minor improvements * ggfluctuation: default to aspect ratio that produces squares * ggsave: filename now first parameter, not second * qplot: if sample aesthetic is used, stat automatically set to qq * scale_datetime: improved breaks calculation * scale_gradient: better default colour scheme from red to blue (thanks to Charlotte Wickham for providing the Munsell colours) * scale_size and scale_area: increased default size range * stats: all give useful error message if missing a required aesthetic * theme_set warns if missing needed theme elements * theme_text: now possible to right and left align text with hjust=0 and hjust=1 respectively Bug fixes * be explicit about is.discrete to avoid clash with Hmisc * facet_wrap: work around R bug so no longer crashers when ncol = 1 * geom_errorbar now works correctly with dashed lines * geom_path will now silently ignore lines with less than 2 points (instead of throwing a mysterious error as before) * geom_path now responds to the size aesthetic once more * geom_polygon etc now correctly displays linetype on legends * geom_step now works with multiple groups * geom_vline and geom_hline: fix bug when mapping intercept to variable in data frame * ggsave: path parameter correctly sets path * guides: fix broken legend from default stat aesthetics (e.g. for stat_sum) * scale_manual now works better with missing values * scale_manual: labels now correctly sets legend labels. * stat_density_2d: no longer passes unnecessary parameters to kde2d causing an error message (seen when setting aesthetics with qplot) * stat_pointrange: better relationship between point and line widths * stat_sum now correctly preserves other aesthetic columns (should be a bit faster too) ggplot2 0.8.1 ---------------------------------------------------------------- New features * new labs, xlab & ylab functions for easily modifying axis labels and legend titles * qplot now guesses what geom you want based on the position aesthetics that you provide: * both x & y: scatterplot * only x: histogram * only y: scatterplot of seq_along(y) vs y * scale_datetime: a first attempt at a scale for date time objects of class POSIXt Aesthetic improvements * legends should now work in cases where you have multiple layers the use the same geom and have different aesthetic mappings * theme: new theme setting legend.key.size determines size of keys in legend * theme: new theme setting plot.margins to control the plot margins * tweaks to plot and legend layout Other minor improvements * geom_point warns if missing values present in data and not displayed on plot * geom_smooth gives a more accurate warning when you have incorrectly specified the grouping * geom_smooth will switch to an alternative smoothing method (mgcv::gam(y ~ s(x, bs = "cr"))), when there are more than 1000 observations * layers gain a legend argument, which allow you to force the layer either into (TRUE) or out of (FALSE) the legend Bug fixes * coord_equal now calculates scales correctly again * coord_flip: flips axes labels again too * coord_trans fix bug where transformation incorrect * facet_grid: fix bug where tick labels where being produced outside the range of the axes * facet_wrap: fixed bug with ncol = 1 or nrow = 1 * facet_wrap: labels correctly clipped to axis ranges * facet_wrap: labels will match panels even when factor levels are not in alphabetical order * facet_wrap: now works when a layer doesn't contain every level of the faceting variables * geom_abline should now work in a wider variety of situations * geom_smooth now gives correct asymmetric standard errors with generalised linear models (thanks to Thierry Onkelinx) * geom_vline and geom_hline now correctly transform their intercepts if the scale is transformed * geom_vline and geom_hline: now use xintercept and yintercept instead of intercept * legend.position and legend.justification work again * position_dodge now works for any number of elements with smaller widths, not just 2! * scale_discrete_position: does a better job of calculating axis limits when plotting a mixture of continuous and discrete values (e.g. with geom_jitter) * summary: tweaks to improve output ggplot2 0.8 (2008-11-18) ---------------------------------------- * The two biggest new features in this release are the (long awaited) ability to have scales that vary between facets, and a faceting system that works like lattice (facet_wrap). From qplot, you can use facet_wrap by specifying one sided formula (~ colour, as opposed to . ~ color). To see some potential uses for these new features, see the "Positioning" chapter of the book. Implementing these changes has required a rewrite of large parts of the coordinate systems code, so if anything seems strange with non-Cartesian coordinate systems, please get in touch. * I've also made another round of tweaks to make the plots more aesthetically pleasing.This includes using a bright blue colour for geoms used to add statistical summaries to plots (contour, smooth, and quantiles), and tweaking the default colour scheme for the continuous colour scale.Please let me know what you think.Remember that most of these options are controllable with the theming system - see the book chapter "Polishing your plots for publication". * Accompanying this new release of the package is an updated and expanded version of the book. The content of the book is now largely complete (~170 pages), and over the coming months I will be working on make it polished and easy to understand.See http://had.co.nz/ggplot2/book.I love to hear your feedback about the book, but at this point please don't bother reporting minor typos, I would much rather hear about what you want to do, but can't figure out from the book. Other new features: * geom_bin2d/stat_bin2d & geom_hex/stat_binhex: for 2d square and hexagon binning, particularly useful for alleviating overplotting in scatterplots * geom_freqpoly: draws frequency polygons (= stat_bin + geom_line) * scale_position: both discrete and continuous gain a new formatter argument to control the default formatting of the axis labels. See also the handy numeric formatters: dollar, comma and percent * the xlim and ylim functions now produce discrete scales when appropriate, and generate a reverse scale if the minimum is greater than the maximum Improvements * coord_map gains experimental axis labels * facet_grid: new support for varying scales in rows and columns * facet_wrap: new faceter which wraps a 1d ribbon of panels into 2d, in a similar way to lattice * geom_bin: gains a drop argument to control whether or not 0 count bins should be removed * geom_path and geom_line gain arrows argument to match geom_segment * ggsave now checks that you are using it with a ggplot plot * ggsave now produces postscript files that are suitable for embedding in another document * ggsave now recognises the .svg extension and will produce svg files, if possible * ggsave: default dpi changed to 300, on the assumption that you are saving the plot for printing * qplot: uses facet_wrap if formula looks like ~ a + b (as opposed to a ~ b) Aesthetic tweaks * geom_bar, geom_polygon, geom_rect, ...: default fill colour is now much closer to black to match the defaults in other geoms (point, line, etc) * geom_line, geom_path, geom_segment: lines have squared ends * geom_point, geom_pointrange and geom_boxplot: now use shape = 16 instead of 19. This shape does not have a border from R 2.8 on, and so will look better when displayed transparently. * geom_contour, geom_density2d, geom_quantile and geom_smooth use a bright blue colour for lines, to make them stand out when used with black points * scale_gradient: tweaked default colours to make more aesthetically pleasing * theme: new theme setting panel.margin (a unit) controls gap between panels in facetted plots (for both grid and wrap) * theme_gray: removed black border around strips * theme_bw: tweaks to make black and white theme look a little nicer Bug fixes * coord_cartesian now correctly clips instead of dropping points outside of its limits * facet_grid: margins now grouped correctly in default case (non-aesthetic variables ignored when generating default group value) * facet_grid: fix long standing bug when combining datasets with different levels of facetting variable * geom_smooth calls stat::predict explicitly to avoid conflicts with packages that override predict for S4 model classes * grid: correctly expose subcomponents of strips and axes * mapping aesthetics to functions of stat output now works in a much wider variety of cases * order aesthetic should now work with bars (and in general more geoms) * position_dodge now works with points and other geoms that lack xmin and xmax * scale_area works once more * scale_discrete_position: empty levels are no longer displayed by default, if you want them, use breaks = levels(myfactor) * scale_discrete_position: fixed bug when limits were set * scale_discrete_position: more aesthetically pleasing expansion for a wider ranges of plots (picks expansion based on whether or not geom with width used, e.g. bars) * scale_gradient*: axes are correctly labelled when a transformation is used * scale_x_log10, scale_y_sqrt etc now correctly transform output from statistics as well as raw data * scale_z_* now removed because no longer used by anything * stat_bin: correctly returns 0 when no observations in a bin (was previously returning NA) * stat_quantreg: deal with yet another new output format from quantreg * stat_contour now has arguments to control the position of the contours, rather than relying on the z scale * theme: panel.empty setting removed as it is no longer used * theme_grey now aliased to theme_gray * theme_line: setting size works correctly * theme_rect, theme_segment: size now measured in mm, to be consistent with the rest of ggplot ggplot2 0.7 ---------------------------------------------------------------- * ggplot2 0.7 introduces a new theming system which allows you to control (almost) every aspect of the appearance of the plot. This system is documented in the book chapter "Polishing your plots for publication", available from http://had.co.nz/ggplot2/book/polishing.pdf. Bugs fixed * geom_boxplot: now displays outliers even if only one present * geom_jitter: setting one jitter direction to 0 now works * geom_segment: should now work correctly in all coordinate systems (note that arrows only work in Cartesian coordinates) * ggsave: correctly uses dpi for raster devices and default dpi changed to 72 (thanks to Brian Ripley for pointing this out) * ggsave: current device no longer closes if error occurs * position_jitter: now works correctly with 0 jitter * remove_missing: some statistics were calculated incorrectly when missing values were present * scales: extra scales ignored (again) * scales: legends respect fixed parameters of the layer * scales: legends won't appear when aesthetics are mapped to NULL, or set to fixed value * scales: xend and yend now transformed correctly * scale_date: breaks are now rounded to correct position New functionality * geom_point: can now control colour and fill separately for point glyphs with borders * geom_step: now has parameter direction which can take values vh (vertical then horizontal) or hv (horizontal then vertical) describing the shape of the stairs * qplot: new asp argument to set aspect ratio * qplot: now captures the environment in which it was run, which should make it much more robust at finding the variables you expect it to find * qplot: now treats any arguments wrapped in I() as parameters, not aesthetics, e.g. qplot(mpg, wt, data=mtcars, colour = I("red")) or qplot(mpg, wt, data=mtcars, size = I(5)) * scale_continuous: new minor_breaks argument to controls position of minor breaks * scale_discrete: new discrete position scales which make it possible to manually position elements * scale_gradientn: new colour scale which creates gradient between any list of colours More consistent interfaces * can use color instead of colour, and old R names throughout ggplot2 * geom_jitter: Arguments changed to height and width to match other position adjustments * scales: any point outside of limits is dropped (this was previously the behaviour for discrete scales, but not continuous scales) * scales: limits are consistent across discrete and continuous scales (limits c(1, NA) form no longer works for continuous scales) * scales: order of legends reversed to match order of x axis (and to be consistent with previous versions) * scale_date: new limits argument to set axis limits * scale_discrete: all discrete scales accept breaks argument * scale_discrete: all discrete scales have limits and labels argument to better control legends * scale_discrete: character and logical vectors now reliably treated as discrete scales * stat_density2d, geom_density2d: density2d used consistently (instead of density_2d in some places) Improved aesthetics * coord_polar: more tweaks to grid lines to enhance appearance * coord_polar: new expand argument to control whether axes should be expanded outside the range of the data * geom_contour, geom_smooth, geom_quantile: now use blue lines * position_stack, position_dodge: should be more informative if conditions for stacking/dodging not met * position_jitter: default amount of jittering tweaked to align with boxplots etc. * scales: background colour of legends key matches plot * themes: Complete rewrite of theming system, see new book chapter for details * themes: direct access to plot options via $ is now disabled Improved documentation and error messages * facet_grid: documentation improved * qplot: Better error messages when needed variables are missing * scale_discrete: improved error message for too many values in domain * scale_size: improved documentation for discrete variables * online documentation generally tweaked and primped to work a little better and look a little nicer * website now includes a search box * links from rdoc now point to correct pages ggplot2 0.6 ---------------------------------------------------------------- The two big changes in this release are improved documentation and legends. * all major ggplot2 components now have their own built in documentation, so that (e.g.) ?stat_smooth or ?geom_point now give you useful information * the legend code is now considerably more sophisticated and will attempt to merge together legends for the same variable * also, legends are drawn based on the geoms used (instead of the scales used, as previously) so should match the plot much better (e.g. for geom_smooth, geom_boxplot, geom_vline, geom_abline, geom_pointrange). These features are new, so there are likely to be a few bugs that I haven't discovered. Please me know if you discover any. Other additions and corrections * coord_equal: should now work correctly in all situations * coord_polar: add start and direction parameters, giving more control over the layout of the polar coords * coord_polar: added my favourite pie chart example * coord_trans now deals with groups appropriately, at the cost of decreased speed * geom_abline, geom_vline, geom_hline: should now behave better in a wider variety of settings * geom_boxplot: deals with continuous x-axis and grouping much better * geom_boxplot: now has it's own legend which actually looks like a boxplot * geom_boxplot: reports if missing values removed * geom_crossbar: the middle line is now display thicker than the other lines, controlled by the parameter fatten (thanks to Heike Hofmann for the suggestion) * geom_density: fix scale adjustment bug in geom_density * geom_line, geom_text: all size measurements (now lines and text as well) are measured in mm, lines/paths default to paths 0.5mm wide * geom_rug: new to add marginal rug plots * geom_smooth: added example showing how to use geom_smooth with your own models * geom_smooth: fixed bug where if se=FALSE x axis always includes 0 * geom_vline, geom_hline: yet another rewrite which should make them more powerful and less error prone. * ggsave reports width and height of saved image * position_stack: fixed bug when data was empty * qplot: allow qplot to use computed aesthetics too * scale_continuous: tweaks to minor breaks to make appearance better on wider range of coordinate systems * scale_discrete: all discrete scales now have labels argument which you can use to override the factor levels * scale_discrete: now works correctly with character vectors * scale_size: changed default range to [0.5, 3] to better reflect new sizing decisions * scale_size: legends resize to avoid overlaps * scale_x_continuous, scale_y_continuous: new convenience functions xlim and ylim (and zlim) that make it even easier to adjust the limits of the x, y, and z axes * stat_bin, geom_area: fixed bug in combination of stat_bin and geom_area that made it difficult to draw frequency polygons * stat_bin: fixed bug which resulted in increased counts when the x axis was a categorical variable with a single level (thanks to Bob Muenchen for pointing this out!) * stat_bin: no longer incorrectly warns that binwidth is unspecified when breaks are set * stat_bin: now takes origin argument to manually specify origin of first bin (default is round_any(min(range), bin_width, floor)) * stat_boxplot, stat_contour, stat_density_2d, stat_qq, stat_density: na.rm parameter added to the following statistics (thanks to Leena Choi for suggesting this) * stat_function: new, makes it easy to superimpose a function on the plot * stat_qq: axes flipped to agree with base R * stat_qq: now uses sample aesthetic to select variable for summary * stat_quantile: updated to work with latest version of quantreg * stat_spoke: new, to make it possible to use geom_segment parameterised by angle and radius (thanks to Jiho for the suggestion) * stat_summary: better documentation * stat_summary: convenient auto wrapping of simple summary functions Miscellaneous changes: * it's now easy to change the default scales (and their arguments) with the set_default_scale function, see ?set_default_scale for more details (thanks to Bob Muenchen for the suggestion) * new order aesthetic which controls the order in which elements are plotted * min and max are now scaled the same way as y * functions are silently dropped (e.g. aes(colour=col)) * scales do not try and map variables that don't exist (fixes some rather obscure bugs) * aes(mpg, wt) is now equivalent to aes(x = mpg, y = wt) ggplot2 0.5.7 ---------------------------------------------------------------- New geoms, scales and aesthetics * stat_step and geom_step to draw staircase plots (like plot(type="s")) * order aesthetic (currently only for lines/paths) allows you to control the drawing order within a group * scale_manual makes it easier to let ggplot uses the exact colours/sizes/linetypes that you want * scale_reverse allows you to reverse the scale of x and y axes * scale_grey is a new black and white scale for categorical data (colour and fill) Improved options handling * new function opts() to allow modification of plot options by addition * update(p, theme_bw) and p + theme_bw now work These changes mean that you can modify plot options in the same way that you modify all other aspects of the plot, e.g. qplot(mpg, wt, data=mptcars) + opts(title = "Fuel economy vs weight") Improved documentation * many tweaks to the online documentation, particular including the actual code you need to run for each object! * every page now has a link to a form where you can submit feedback on exactly you do or don't like about a page * required aesthetics now listed in documentation * geom_polygon now has a decent example * numerous minor corrections suggested by Jörg Beyer * separated plotting advice from details of plot construction (what vs how), thanks to Bert Gunter for this suggestion Improved map projections (with coord_map) * coord_map defaults to orientation = c(90, 0, mean(range(y))) - this ensures that multiple layers line up correctly, but means you will have to specify the orientation yourself for many projections * coord_map now respects limits set by scales * removed useless ticks from coord_map If you're using ggplot to draw maps and have thought of other features that would make your life easier, please let me know. Bug fixes * adding data and aesthetics in separate steps should now work * layers with set parameters will not use mapped aesthetics * use LazyLoad: false instead of SaveData: true for better future compatability * coord_cartesian: fixed bug that prevented you from overriding the default axis expansion * coord_equal: now scales correctly if ratio < 1 * geom_abline: fix bug where slope was ignored * geom_jitter now works correctly with groups and categorical values (was actually a bug in how scale_discrete deals with continuous values) * geom_path: automatically switch between polylineGrob and segmentsGrob when drawing paths so that setting line type now works properly * geom_segment now uses both ends of segments to calculate axis limits * plotmatrix: fix bug in scatterplot matrix where all scatterplots were transposed! * qplot: should now work better within functions * quickplot added as an alias of qplot, to avoid confusion with qunif, etc * scale_*: better error message if you add a scale without a matching aesthetic mapping in the plot * scale_identity no longer converts everything to character * scale_identity: grob argument renamed to guide * stat_*: made all statistics more robust to errors * stat_quantile: fixed bug when only drawing a single quantile * stat_smooth: returns silently if <2 non-missing data points Minor aesthetic improvements * coord_polar now specifies aspect.ratio by default, and I've made a few other tweaks to make polar coordinates plot look nicer * geom_bar no longer draws gray borders by default, but instead uses the same colour as fill (this eliminates a tiny gap between neighbouring bars) * plotmatrix: tweaks to improve display of scatterplot matrix * scale_brewer: added option to reverse palette * scale_colour: colour and fill legends now look exactly the same (previously colour was missing a grey border) * scale_discrete has slightly larger expansion (0.75 vs 0.5) * stat_bar: only output bars with > 0 count ggplot2 0.5.6 ---------------------------------------------------------------- Improved error messages and other notifications: * all geoms and position adjustments should now give an informative error message when required aesthetics are missing * better error messages if data not a data frame, or mapping not created by aes or aes_string * better errors for qplot when variables missing or data invalid * better error if somehow you are missing necessary scales * stat_bin informs you of the default choice of binwidth * stat_smooth gives helpful error messages for common problems * printing a geom now displays the data set that it uses (if not the default) Other improvements: * colour and fill legends now surround by background plot colour * can now draw arrow heads with geom_segment, and have added an example demonstrating drawing a vector field * density plots should always include 0 on y axis * default boxplot outlier changed colour to black * stat_smooth supports categorical variables a little better * implemented hash methods for all ggplot objects. This is the first step in making it easier for me to compare all examples between versions for quality control purposes New data: * seals, contributed by David Brillinger and Charlotte Wickham, used for vector field example Bug fixes: * geoms hline, vline and abline now all work correctly when a grouping variable is used * block histograms (where individuals are identifiable) now work correctly * all ggplot objects should now print properly from the command line * fixed bug in geom_path when only 1 point * segments geom now works correctly for more coordinate systems * order variables in scatterplot matrix by order of variables in data.frame * geom_density deals with missing values correctly when displaying scaled densities * fixed bug in calculating categorical ranges * fixed bug in drawing error bars Subtractions * now relies on R 2.6 * removed grid.gedit and grid.gremove, and code replaced by grid.ls ggplot2 0.5.5 ---------------------------------------------------------------- Improvements: * ggplot now gives rather more helpful errors if you have misspecified a variable name in the aesthetic mapping * changed default hline and vline intercepts to 0 * added "count" output variable from stat_density for creating stacked/conditional density plots * added parameters to geom_boxplot to control appearance of outlying points * overriding aesthetics with fixed values that have already been set with aesthetics now actually works * slightly better names for xaxis and yaxis grobs * added aes_string function to make it easier to construction aesthetic mapping specifications in functions * continuous scales now have labels argument so that you can manually specify labels if desired * stat_density now calculates densities on a common grid across groups. This means that position_fill and position_stack now work properly * if numeric, legend labels right aligned * polar coordinates much improved, and with better examples Documentation: * fixed argument documentation for qplot * added (very) rudimentary documentation about what functions return * documentation now lists extra variables created by statistics Bug fixes: * coord_flip now works with segment and all interval geoms * geom_errorbar now works in all coordinate systems * derived y axes (eg. on histogram) are now labelled correctly * fixed bug in stat_quantile caused by new output format from predict.rq * fixed bug if x or y are constant * fixed bug in histogram where sometimes lowest bar was omitted * fixed bug in stat_qq which prevent setting aesthetics * fixed bug in qplot(..., geom="density", position="identity") * fixed stat_qq so that unnecessary arguments are no longer passed to the distribution function Subtractions: * removed grid argument from ggsave, replaced by ggtheme(theme_bw) * removed add argument from qplot ggplot2 0.5.4 ---------------------------------------------------------------- * border now drawn on top of geoms, instead of below - this results in better appearance when adjusting scale limits * ggplot() + aes() now modifies existing default aesthetic mapping, rather than overwriting * polish examples in facet_grid ggplot2 0.5.3 ---------------------------------------------------------------- * added experimental scatterplot matrix, see ?plotmatrix * added new border.colour and grid.minor.colour options for better control over plot apperance * updated theme_bw to do better when drawing a plot with white background * better default colour choices for gradients (and more discussion in examples) * fixed bug in ScaleGradient2 where scales with different positive and negative ranges were not scaled correctly * allow expressions as result from strip.text * fixed rare bug in geom_vline and geom_hline * fixed example in geom_abline * tweaked display of multiline axis labels ggplot2 0.5.2 ---------------------------------------------------------------- * add argument to position dodge so it's now possible to accurately dodge things with different widths to their physical widths * added median summary New examples: * logistic regression example in stat_smooth Bugs fixed: * evaluation of arguments to layer is no longer delayed * can use categorical xseq with stat_smooth * x and y axes named incorrectly (thanks to Dieter Menne for spotting this) * can now pass position objects to qplot * y jitter calculated correctly, and jittered data rescales axis now * removed silly legend from quantile plot * extra arguments not being passed on to geoms/stats * fixed bug in stat_summary when summarising a factor * fixed bugs in stat_summary, geom_ribbon, and coord_trans examples ggplot2 0.5.1 ---------------------------------------------------------------- * renamed scale_manual to scale_identity to map position_identity and stat_identity * ensured all grob consistently named * renamed aesthetics argument to mapping to be consistent with description in book * added useful utilities for modifying grobs * bug fixes to x axis range with interval geoms * added ability to turn legend off for single scale (currently undocumented) * added economics data set and matching examples ggplot2 0.5 ---------------------------------------------------------------- * complete rewrite of ggplot code base * id/grouping completely rewritten so that automatically grouped when any of the aesthetics is a categorical variable.This behaviour is defined in the Grammar of Graphics, and makes things like qplot(wt, data=mtcars, geom="density", colour=factor(cyl)) work nicely ggplot2/DESCRIPTION0000644000175100001440000001034712114411470013354 0ustar hornikusersPackage: ggplot2 Type: Package Title: An implementation of the Grammar of Graphics Version: 0.9.3.1 Author: Hadley Wickham , Winston Chang Maintainer: Hadley Wickham Description: An implementation of the grammar of graphics in R. It combines the advantages of both base and lattice graphics: conditioning and shared axes are handled automatically, and you can still build up a plot step by step from multiple data sources. It also implements a sophisticated multidimensional conditioning system and a consistent interface to map data to aesthetic attributes. See the ggplot2 website for more information, documentation and examples. Depends: R (>= 2.14), stats, methods Imports: plyr (>= 1.7.1), digest, grid, gtable (>= 0.1.1), reshape2, scales (>= 0.2.3), proto, MASS Suggests: quantreg, Hmisc, mapproj, maps, hexbin, maptools, multcomp, nlme, testthat Enhances: sp License: GPL-2 URL: http://had.co.nz/ggplot2/ LazyData: true Collate: 'aaa-.r' 'aaa-constants.r' 'aes-colour-fill-alpha.r' 'aes-linetype-size-shape.r' 'aes.r' 'annotation.r' 'bench.r' 'coord-.r' 'coord-cartesian-.r' 'coord-fixed.r' 'coord-flip.r' 'coord-map.r' 'coord-munch.r' 'coord-polar.r' 'coord-transform.r' 'facet-.r' 'facet-grid-.r' 'facet-labels.r' 'facet-layout.r' 'facet-locate.r' 'facet-null.r' 'facet-viewports.r' 'facet-wrap.r' 'fortify-lm.r' 'fortify-map.r' 'fortify-spatial.r' 'fortify.r' 'geom-.r' 'geom-abline.r' 'geom-bar-.r' 'geom-bar-histogram.r' 'geom-bin2d.r' 'geom-blank.r' 'geom-boxplot.r' 'geom-crossbar.r' 'geom-defaults.r' 'geom-dotplot.r' 'geom-error.r' 'geom-errorh.r' 'geom-freqpoly.r' 'geom-hex.r' 'geom-hline.r' 'geom-linerange.r' 'geom-polygon.r' 'geom-map.r' 'geom-path-.r' 'geom-path-contour.r' 'geom-path-density2d.r' 'geom-path-line.r' 'geom-path-step.r' 'geom-point-.r' 'geom-point-jitter.r' 'geom-pointrange.r' 'geom-quantile.r' 'geom-rect.r' 'geom-ribbon-.r' 'geom-ribbon-density.r' 'geom-rug.r' 'geom-segment.r' 'geom-smooth.r' 'geom-text.r' 'geom-tile.r' 'geom-violin.r' 'geom-vline.r' 'ggplot2.r' 'grob-absolute.r' 'grob-dotstack.r' 'grob-null.r' 'guide-colorbar.r' 'guide-legend.r' 'guides-.r' 'guides-axis.r' 'guides-grid.r' 'labels.r' 'layer.r' 'limits.r' 'matrix.r' 'panel.r' 'plot-build.r' 'plot-construction.r' 'plot-last.r' 'plot-render.r' 'plot.r' 'position-.r' 'position-collide.r' 'position-dodge.r' 'position-fill.r' 'position-identity.r' 'position-jitter.r' 'position-stack.r' 'quick-plot.r' 'save.r' 'scale-.r' 'scale-alpha.r' 'scale-area.r' 'scale-brewer.r' 'scale-continuous.r' 'scale-date.r' 'scale-datetime.r' 'scale-discrete-.r' 'scale-gradient.r' 'scale-gradient2.r' 'scale-gradientn.r' 'scale-grey.r' 'scale-hue.r' 'scale-identity.r' 'scale-linetype.r' 'scale-manual.r' 'scale-shape.r' 'scale-size.r' 'scales-.r' 'stat-.r' 'stat-summary-2d.r' 'stat-summary-hex.r' 'stat-bin.r' 'stat-bin2d.r' 'stat-binhex.r' 'stat-boxplot.r' 'stat-contour.r' 'stat-density-2d.r' 'stat-density.r' 'stat-bindot.r' 'stat-function.r' 'stat-identity.r' 'stat-qq.r' 'stat-quantile.r' 'stat-smooth-methods.r' 'stat-smooth.r' 'stat-spoke.r' 'stat-sum.r' 'stat-summary.r' 'stat-unique.r' 'stat-vline.r' 'stat-ydensity.r' 'stat-ecdf.r' 'summary.r' 'templates.r' 'theme-defaults.r' 'theme-elements.r' 'theme.r' 'utilities-break.r' 'utilities-grid.r' 'utilities-layer.r' 'utilities-matrix.r' 'utilities-resolution.r' 'utilities-table.r' 'utilities.r' 'xxx-digest.r' 'zxx.r' 'geom-raster.r' 'annotation-raster.r' 'annotation-map.r' 'autoplot.r' 'zzz.r' 'fortify-multcomp.r' 'annotation-custom.r' 'aes-group-order.r' 'aes-position.r' 'translate-qplot-base.r' 'translate-qplot-ggplot.r' 'translate-qplot-gpl.r' 'translate-qplot-lattice.r' 'annotation-logticks.r' 'utilities-help.r' Packaged: 2013-03-01 17:44:46 UTC; ubuntu NeedsCompilation: no Repository: CRAN Date/Publication: 2013-03-02 15:56:56 ggplot2/build/0000755000175100001440000000000012114164416012745 5ustar hornikusersggplot2/build/partial.rdb0000644000175100001440000046343512114164416015111 0ustar hornikusers‹ìýyÉ™.ˆf‰ÔJ"(E‰’H…H-¤B$µ”(‰¥Rm¶Ü²Ë]‹WÙê$$áÂÂB‚’è>Ýî³vŸ½Ï™93sçÎ̽·ÿ<Ÿâ~ˆóAü›pûæ›ùLdˆ%#mÿº~N?Ab<ñ¾±ÇûülÂqœcαbðŒQòýàÿ>pœ1Âóøù½§Bw žÞõZ×îv½Öôgü˜ð«_V_wÜÝ %þƒñŸ|öåÇñoúíJÛÛ ²:K?EÙ8'ç>ûW'ƒµS«{ôGè¿ÿ;ö•±Ïš•XþÇ¿ùúóÕG±ïòš•VµÖŒ“ubß+tj Ïï¸ýàoOÒ/žÿ—~×ÿÅ㕺ëûøkÇ8áñÕ‹ŸU:ü­Ã;Aêÿ§C¯Õt^ŒÎó»fçn§±÷Ëàÿ¾®í¯õõÝ/·jõꃇ›Ü[_«®í<Ú¼»»»_ou6î6Üæ]¡~Ê_Vc{[eQ–Ë""Ï_àÔ?ÆþšPEi_éÖ½ø‡Þ‹ëø«¨8è—Çþ1f(ü™î!}o,øÞø?Žší«~o"…Çøןýìëï ˆGÆhNÖO¬çVGˆQmŸN#­T>‰¹žxåÖk®Ÿ’ï{@¡`l× e?# CõróeP!Ìß÷*µšWeۇ̯·ö=æ6«¬Öìx튷ß)KrC5®"½j°Ê:µN=É•ÆPM„e¤Ëö«Œ²¿+ Å*•Îñ/?ùâÓÏøŒ£ 8âÑ,–§Œ N½Üp÷÷ƒî‡m±}óòe‰UÝŽÛý!èp:Á‹ÑwKÒ¯pµIøé§Ú¯pŸÿí·üZ§Öj¿ZÕkÆu¸PÞk½}½{|üâóç/¿ú¬ÄÊåòŠ4uÞ¸ÞGú¾Ag8ðÝÝ$gwŽBðØvÊþ˜€xá¢.²ý3âÑ,•cŒIò( F ΑžF±X„>ꯉž+ðãÏtåù…¼Æc¼n¼êU沺·ë]ͶǪm÷mó[®z;îA½ã³NK¶réwçO~’CåN B'ŒTn¼R‡­‘l34r!<‹ôYcÍÐñWÁì#©¢ìÆ€“HOê·B+ 5R±·¯u¼FŠAò·ŸBzÊ~LÙŸm§á ÍôHòîyyf×öžÄˆH\XDZÉRCR§b¤î|½Œí=¿³çujŠ%và¸õú!«´š~§}PéxUÙÚ%ÂÓÀ§HëÑN2ö¶ÖÙ“­â³¨VB>:©Õ'UñXP’ Äf€³HÏlˆ‚ñõ·)ÙN/ }!ûÖÿld‚!^Dú¢¶MŒ³V[Å æ€W¾bÜ &ƒx8¼Û®7Þ°cKÀ{Hß³cóÀûH+͉Ž¶eöE³~(Ûp>>AZÔø„±¦çUiK£[ßë°`´»¬îzí`àûÆ«³Ú;l0·í±Ö¯Ý®Ñ®ì LF–â¤õ_`†…li‘”ñ1¹ìBPlgVZ¼’vQ4†lÏ#}Þþx‡²ŸmS(xŽy »Î!oÂì†]ã´ð¤À¬Æ_Šc®c1Fåçpy,³Vµ1jVY+h¯Âv«¢-­Ýs00§Hë»nÃ.·Ù¡Æ í’§ßL£Ò o }#ûÖ€Jf ÙÞDú¦}7¤ìo ˆÇ6 q'ÏÖ@è²l håYYh¾5X¥±ªùÁ Ì­³NÛmú;­và W¡;ðƒÑ@“üM¶r‰2ïkŸ ­?˜eÑj~@2 Uó£æLÖûÏ£’ g‘69óIñ~* ôÿáÌgÌQœùè¹eQ@<¶iŸ«÷_@Þœ,½ÿßÛQ`WN!=e¬X¢ »ëäVsàw^ÔÙ’ën&[­á¤hWë ;ÿº»¿_§­½ýV­Ùñ£¦‰·’D/¢® —^ʾàŽOÙ^Gúº}ï£ìoˆÇ69<ǼKÈû’“e#0V.ËvUD¨<ôieÿ¯Áη‚ž½ÌùwÈí}¶ïú~0þ;Ùº$Š“ÀÛHßΡ./£þ.©Ë´õµã*mQ*ßGZé OJ›“²´v†C( )e›²´FÙÍ­}\/³¯©Í¯¸MVkVêUaÁgo÷Z¾ô`•Î7‘ÞÔfz‹±7nýÀóÃ…5>‰ fÛ%Ö æ® w¿Ì¾ò(¢Â-ãÞ©Öî‘VYò ÕHøÒh“Ÿc½£µÔ9ñ…Õ²,½k D( ê Yû™WUϯ´kû½t_ÍRŽ‹ùÚû"lœ£ž½OéÒ¡Yí„€x4Ke†±Ÿ’Mׂé‚_#«ßõ™$³ë¨#B­Í¸ä­ïð0ðÞ€þ©GÓˆÐe Îz$AYÞ@Z6~\¥! 7·‘Îc'ìÊdpp12‘7*&B„ ÀiGã8ªœ‰Pvc@ô†”?¾åÓbßÎA=ñ¹Í`râvÂU¶ 'ðËŒý\~/hΟ"­¿ø„…Ó>ÿ`¿~uVnÛmxAæ‡ä…k%¡gSðƒ›°9Bs'ž²h@äXçm+˜ú™W ×a¼wûõZ¥Ö ÞÍ Þ§ö.0D3È“_‰æ†f/*Ô]lÃPáò":; s¢ŠÙË2_[B­{ GWß[–$²‚ÌWàp¸Ñc¨º&^ZéëÖZ)²‘­õÙ¶‰xNo#­Ôx˵M”Ý8ðÒw´ëkj… ©T ŠHÖŠˆM øi}~D§@ëu:HEÄüÀB‡>Úw›^ÝÜ~§Õþ܆¹>BZi)%Î36mý“ûjØlÉ¡KÝ? Ú7nû0pòVC–ý0¾c”}Ðö„eL3•0”5- }ïÛد{~oÕ¢Võ\_z"S[Bów¤N½ÂZJÊpr[urÄPöÇÔ›ÄпN€=ï.ÙJò£Å½ àûH«ßŽ_’..¢1+ ëãå»°˜»Žæx9ŒPp<¥Ëáòtjç$Þ<ç C@ Ã^ƒþû¿£ÏŽ÷ýa!ØÀ‰ø/èó“”!­ë¼÷»ßÓg'ÿ!öÚ£†(Ä38ó´Òj6½ ­@|}g"þ?Øûþ)ý¶ÐÊ$Ý÷?­f»/ØA³ È;A¯çGcÁV½ÞzK3 a£f¹í}wP£Høº¥ ?ÚnÕ«+uâüé_j¿ŽÒ5ù÷Œµã4x¬-:üÒÇØ*b©È7Püð¸“Ø@I‹“jë)»ã(“HŸÔ7•Rp^²ú6íÜúþ^Ú‘ã—ò‹À„]éÑ9ɵ>”]˜°+mË])ûóÆöi¬ù‡W ÿ8Ÿ8ž¯‡Op4ë'*­zë -ë ÇáÇ#çZ³vãpŠãNï.¹¾eJ;e?+`l„kÍAxëcm9ïKOäë |{—£Y9EûÎá¾ôàþÜâ„sä¢QÖ.rnA(•µí"ô\0v¤Úš‹÷‹ópÁ-òt‘“p Žf]dܯýVÚ=NÂ%§‘VšiɹÇI¸áûH+ìôï̈ÇÐÛŸ ͱ[)}“Ÿ÷œÞõ¹˜Vð qñ*€ñ—/¾ú:å/ãa û‹¨hÖœÞ UýÐCÒÅBÙŸ<ñcÂoOW›n£Vù¼ÆË<ëô† é&äG+; $Ëø÷ëÉ&4IúÆ™ìg£W~ë0%Ž1³’\ ½>*ÔVnÉ©sÄ£iVKûìé*ûŽ–Ì–ßvJ¬±¿ÛéÖèTܶ/ íªP¾ü¡YbƒºqõñXXbŸ‡Û¯á^4‚bênl*É F¸€ô‚6ÉçûìΑ°}+l‰}â6ou˜ïy¬ÞI>èøü¾oÛmîz¬µÓݬ’~‡àNøéçÚïÁâïÑÛöÛbkò¶)œîOýY·MaßΠmÞ§J®WênÇK ðI5œ pÛó;l§Ö‘¦¾ º›ŽÉ‹•–·³\o,-ûkFmÑÑfH¾®ƒá"Ò‹ÚDKƒLòÞ8_¤WÈSÈ›¥š”¢¼¾VbÑÊ EÆl{U Š øÈÁä_@8 #–¿uÿÚBÞÍø׃¥pKüÝë~í7Z­Î^¸%¸Qx¦ 5‚ C=Œ£Ô”~¾„B÷ Éý@|¹áuöZÕ­ÅzƒjÜÛ Ã Ê×ø30$Ô»1£Wã!oŽfj<è6¿Jêçé ™Rå }£Áè£pm}.G f‰¶þ–ßnLméáVЮ®”X9h[+‡õÞ „w}—åkýcPÿøhÉk¾ÆFu‡Þƒ ¶[v·ÚÍV»±L­ÔƃඅÖ:…O@–pé ýŽ7ÞÂRÙ÷N¹üÔÙöJÔ­mUwä© º„æ:^yOû ys4ãi·Ó<ŽH…£·µ¬Ò„?IBáè—&áÉzm»í¶—÷ë‡mùÚüˆN"=©MªLÃ(?t¢jÀ«Û”—ÉëKlç ÎÅ—d)Múû JÈçîemÒóŒ5ˆrßèOÉM^€¡pKN“ã*;Ò,Íj8`m¬ürýWA«$ü¼ñ+yÎ?OB~DmU›óØ_É3ù3äN¨w*Wüíi¿Ó^MSžÑK° BËj2ú Þb‡öRŒzÎÄÖ[žýÁ˜ÐÜÕ2ùFûGÈ›£™F{s‰½ +n¥–uÙv­Ã<ׯyípÜŠ‚ˆD7õz£Oiþ_€3¡0Õõê®`PL5¿ÛnìoEí¥0H–¯ûƒçzõ–gjðëõpugëë/¿QÞÿ9x “*ëöû%òæhÆ~ç—¢ûv•V«]­5iÙ¤§K~-ï+ð"4×ó<‘Xp¾¾Êëzm_aXÿ5X¼˜£òû­ºÛVx…o@›PëfNb¶…Wü,|BÖ|>ñ£6*½sAÙ Ú¹8«Kç§Nt.’£™›²òû÷?CüÌIÜ¿7Úã´ÐÉ),çž3f¹©>(»Pˆˆd,Û”ísÊn (³Ñ4‹«4èp«ÕpÂ質׮½ñªÑR!Ð"‘»|ìt£‘h’<Åp!H’ÍÏaµ„|Ó]Mài`pó¡7¼ñ;\@Zi/K΀_!¼ŠôÕì øçðB†4Ó¶ á‚ò^«]ûm«Ùqë‘!§*i ªŠkÀÖŸvÈ7º¿€™f×è¿q>ˆ_xi¥xr&û Ø áÒ&›ú“¥ìÆ€<’RS ZA&ûÆkGnCƒ•µWbtXFZaIÞ^ ýe¦öz&š¾y»cHax i“ÝuŠÅþVúKçHÈ»¬-ö—°RÂ+H«éyˆ¿•ÃRöóâ1ôötBÊsë~+eôLFøÊÉuNñ þÀQ}N¡EãW(ŽÊ¥‘ø­äó|ü¿_#?G%OúFüŒÚø1ñÛ_VqQüÆu”Oí·½}·íŸG»Ï~ß}Á€æ@íSá_ÞvÛi•–¢ìK¯ËOO"-ìt8f漣ÎõýÿòÏõï¦~¨ZAAuËÿç6ëêÕÅò:,Zòÿ÷ºß‹ “NÆO‘V*œÄ\G“®JÅv¥PöçÄc¨Rn|n`¶½JÇmîRŠp/aÛõ½0Fù»U÷]M6ÎÁj‰°„tÉ`¢\°#`«Æ(û²€xkläØ‘ªÊÕŠÅòÊÕC&[½]kjjV?Dú¡6ùù¸fu@²òí¢qê„ m{W§¶eïCÄ©%í}F—ÎqjÅR1.N-Y,ô’pEÔ‚ð{(Oζ@*ýn˜ ªX»Š©¨Ö 'Q U¡oNÔ^Hˆ)ÄY§O U³EJ]Æ ì& ©ÚÙÇ>LHU´ Tb0LH5dê©<Âá†Ó'š¥]ðP¾üÞÒ=;v1¼ïô ¤ª¶j©Dâ0A U‘ŒETQx<áô‚â ˜H¥Ègž1h^Cté)ÛóHŸ×.éñe?+ Û4øÒG3ƒQùa×$ò&ÌnØ¥": ›™t%%Ç\ÇbŒ²H%ÎE`‚@ªbíf"ZD¥ ¡¸³n ¨dÆíM¤oÚwCÊþ–€1T[4¦Pðój Î!o¾‚–Qk  JŒ Nª\²fk©@ê9§§–œ ªX¹fR§QÉ„³H›œùŒ œ jËí(û‹Æ¢ùØ¢!H&åêýÂ`0CïWH"†ß/8Š ¶Rgá§O U±Z3H=º&Lˆ‘‘U#@å‚I@’@ª-ïƒKñئ!´¾¹6CT’ 5 ©¢@r‚@ªæ¬QTa1/I ÕZ]ŠÊÇúu™¶¾¦$ )œoL E›ÕÒÚEaB(Ú¬–Ö(»1§§Ænfí# Tb8 ÜtúR™f$:›&L÷§}¥ûÀԬ웲+7>Ԭ웲[>vúRmõ¡”ýc©Š4 ¤^‚q £ý¬GX|jEÙòÑ–Rk§W-”ýyc·5ß~4T®žÓ¦?—(çˆG±¥:­K‡6Û&Ä£Y*O#Ôm7’gcµPn®Šø´[ÕƒŠÇÖ«´­âF‚sïVöÜvz¬ºQ$‡nVªŸÒ!W¯¸o·ÕW‚Þ•Â A?Ûií¶ÝF¤;Ti5;µæAë èѤ•‡À—ð!Òµ¹?aÑöíZ3Ô—skÍH”m"êsYÿ ÑpÛµ 7¾JÍšì \iBs{[·¨’°V“ÿ‚aÌAÝm—ÂQrh&N¯$É—#aBÌÍC'ÞzµÝ½´ÍÔcPDføi%+ëª)»;NO^øŽsä2–­‘²$ M˜pŽ&hv‚¯Ò5ú¨‚¼#^LN4?j­Ï5Ñ5'QõL‘ýcŒÙ½vdâ{!g“Êf‹Õ[ÍÝ`–ÚööÛ#£h7h‰š©qé¿LˆŒ§Þþt[Û¾×~®›û%¶}@$ƒ'\µb~«á±hªý&h‚ÜíºI»É¾°Ne°ý_fýsAgÕv+Ѷ~!Ýâ_CBAóÒ¯;‚ùö^Nc Êþ˜€zc ûºth×qBÀX(õèë®÷ú‚ûÓôV£n-÷Ü·…?í¼•^b5_͵@ÈþI绫T‹†XVÂSî4ºp+{, òBjµ*[b¢î«9ö÷»« ¡pm¥U?h4Å@Â\ÆöãC¾].}—ylWœÄ¸wÖ–ö„aŒ¡¥=ñ[Ã.Ÿ¤jˆN8åhlÒÈ j(»1 ß[T»õqä·4Þ”–¼'ÓÀ NwÓPÍLÐ+¼ R7 À[H+­–É×ÍEà2ÒJ}ß‘r8‡µÏ†û­ç«4ADg¸‰´þBg0„ë ÜÂv’FnÞwn¨eK Qó ±4¬ñU–¿(¼knL"Ñ°‡/;4‡¯5ƒžk?ЃµèÜ7¿À‚Ö6z1ÙõwÍM"å[RáêS-é{‡²nJ< âÉÚM);~liýáÐZo>VæâñÑòò IÖˆˆíiàc¤õ½à#›î Óz£Šž~öüÞJÖE¨·]¡gñw‘÷ÝL,¾õPµjPrµÎ¡t7u6O˜ ô••ýß…Í Ûuš•s1lGƒö2†VÄ{…*›®!½–c#E<>JZ>BZÞ =u¤ì7Ä£I㬰x%½Â°UkWa gËm—Ì:²æhf©!•S6Öþ¿¶ FÞÝ :J倮öðÖÙfxl¿îVh¬ROÏö MhnT ·Ã¦•oI;höù¿ÛŒÖ¶»gÏ^‡ß¢%p¥“ç¢Þ‘¹aáëöÚ Ü©¶ª»<˜I÷¬vZ«„$ß Ý3 3iÑ’­÷Œ¢’™ž1©¹ìÖuXˆ ‹À+H+]šKizSNPvà<ÒóÙ·ø”ݘӓ¤sŽ„ñS´ŒÓeöy­I—k¥€ˆÈUà Ò+9˜ª°q˜¡©žíšêNИ*P,/#}9{K}ë|)vK}ë|Su#°Àü½Ö[?˜ŒÔƒøvÒ÷[áæ s¥÷}:½]ç'Hë÷nX´ÔñŽú±°û¢þ¸»îM#àà‡fð«¶×©Ðú2“?M-Š¥%)RgŒù߸~H CópÍM¥‡a¢”CšÙ†m"kŽf†a›Œ}ÕjÃÓ†G;{ݳáMÙð¤æsƒŸYµF®·ÈP]éA˜0pIŠ¯¯~¸#:ùpmKÖš~Çs«´ünuèLJ0îúž×ôÚa×Àj[Ò+¢jš¹ÃK,p|o' F‹p¸“ÐeÍ–}ùÓ¢:šÖ©ÿQPÃË ²sK"txi ×ß)»ëÀûHëïìœZ!‡HW6T;€BZ"µúç¶×éóZÊZ zQÖ¦ýúÀø¿ßzë½ñÚ%~¾Úâ§ue_` &µå˜œH/€3ám°'ÿ%'è¢[¼‡¼5V]fR‚ô‡F_à2Õ@ÐW¸4f5Zj'–$ø ¤ùñF¥áÕ€e¼[|ï–¬«EàÒkÙ{1ew¸Žôºý˜²ßmÁ,8štV²–¾'2nøÁ¦þÖ=ôƒF’­Áð»)a•}AšÐ\3ŒeÂåZ•½©Q˜(îѵk~«Yf?r[û²µ½Mg@£¿Y“ç.êšËÈÏu?EÞ„ús]ú I-Þý½NgÿñÝ»oß¾-o¯z‡ÞjÓë¼mµ¿-e{÷MÍ{{·Ö¬zïÊû{ûÏ*µêÖÆý‡ÒÞ$%:'½AøÔéÆå’“ÄK¬§Â#³uéz&6Ï€Ÿ#ý¹v=Y÷Vj§µ_«H’•‹H v {á—Ëb ÙN!=¥]wp\¡µ”Á&pTÚ_¯¶<Ÿ”ÐéC0piÊï*ÑsÀ'N7Ì€&á2ëÍ2ê­ÝU?°¼CFN£Sn¯åü9ê“PØ5T·§^áÈ{BÎ7‘W¼Ìé,ä÷"ïí"Ã-ÚÄóîm@I~¤©9|i¥ K!¿qÝâ"³â±Þ½€Å¼p4;¢0¶ùñ”¡·òé;¢c/¸ùï~OŸü‡Ø;+7?ó´Òj6½PöÃè;<¡ÊS¦#B“Ô‰M©î v DÚÁ ­Y:”V½ÞzK‹˜Âàå¶÷ÝA­M;Ž½i­®ÖdÛ­zu屬¾×ý^$C5¡æë(ù~OÀX#.AƒÜïº.•êbì$¹b©È·Nã(Šq'±u’,'ÕÖSn›Ž£O"}Rß8TJa@ünÉRHÛ{ï­ ⑧•˜ëÉW~§ÝâNû2.T¥43Nmù(»pÎéS•²ÕTPö—ÄcÝ7ÅÀì9ø&e;ÌÑ7)ûSêûæ‘·wëû{®ì é8|‚0!IVþq>A˜‰Ä–PöçŒÝÍ·æ|tëÞmùïÆOäë'àÍúljJ«Þ:žUœ€Sœ€¥U-UÎANÀ)NÀ* F,SÚAè™06õ´æ BÀü<DpŠ<ä$œ‚£YpÈ)Õ=NÂ%§‘žÎÞ=NÂ%ßGZ©ÛÒsÊ~F@<ÖÝC ÎÃ=¸~·ÍœÜãTòcÈ=N‘Œm¹Ëº4ÈBœEZ© •s‘Sp „›$¶\ú]ŒE™µæ"¸E!)À-x£•“‹pƒàh¸ñk¿•v\‚ÐbRž{L|º˜W2—˜ÈÇ=ÄÄÝc.ÁÑð D-TÒœb±:™€Uæ8¡ìgTž$æz*4Èn«Õ·°MnÀµlÔ×Ùµ €²?& C0þòÅW_§ü…dæ(š8Gz5ÎÇÖò`•ØзâzÐìŶè}ÿþÏ’íe4Filô ëÏ`7c6$¹¡=6*Ô&í%ì™#E>/µùü~¨ÍGüíÔŽÓw¢kóÒ´~øQ÷„¨Iëf…=]eÑñr£S E}]Ï_Þq+V{¹rX_Y‘6ý o"}3»v!•Ç‘7G3g\>_:r 7 Ó FSbo÷jªö&ŠÇ‚¸Q<\Bj¦êÀ¥¾ÌŸã?Gúsí—)VØž ¯|U &„E¤‹Ú¬.aõ¶Víìm•ȳû Œ…xþšìŽ–YðC¥ÕjW_ïÔkû Eø5ˆ. ½ Mòî’´ž·µXfÇ ,4ZþÞZ¬ºíowÛž×\”gý ˜ÞEún>þäÍÑŒŸYbßøûŽFiJ? BAcP“R)$#¶Ì‘`öo·©²ƒ6Èm+ÔæÏ@“PˆG¤IùÃÑ)—Xh¢b¿#ý?q‘þ0“üòæhÆ$?Yb?¥Ë£Ý~z9Œm|˜í/ì—X,ô›üì …3ðšo2Y¯m·Ýöáò~ý°-_ͯ@„péIýör‰}¯"…eÜðÜ&kìOî;E¥xe‡©79SYÿ L ͵— ÁU«AQvp‹¿À¡ÝÚ÷J¬Aï±¾ÒrTð­_ƒ2¡¹@•/øг ;ß$´‡Ä:d,öfdÖÁ/z†-ÿ>¯ñ„/~‘C[ñÈ›£™¶âüû 1V†G–Oåæ‚¡ ¥ÉmKµSxã+Øí6x 715ßá™ê;ìzn[á-*`Nø ég9Xkys46¡ê·Öð|®çú‡Ô«ást]îÖ{;;´øòÆí¯ñKR_Æà š›P}¼$ì¯R ó°ÏÞ†Þ¨á6ƒ¹c- ßEõ Ãlۣˋ$ý"; Oø1Òk¿ÈC´ÍÕšÛh5«X¨o´¸°êÊAçhË,oÚ» Løé‡úƒ¥dòÁ¼§J]w·ö„æKòNZCÞÍ8éâûÜ­x0ÂÝ£ÜmµªÌ­w¼v3 È’z†>•èo@ŽpéEm¢åAvÛWåÒ¤¿QÂ2ÒemÒ3ŒÆ=^çõÛ¶»¿ü׌¬SšZtgžÑ¦öéE`£ñ»èÎ[ð¿ÀK‚ö«J“Œðª£b‘0Þ ™I×MúU O(\zÕ]ìZ¢èr~m»VlAÞ`›`BXDº¨ÍêÚ0ƒ•æÙ7ÂkH_Óæ¹Æ"ÏÙi{ßí·‚ùÑ ƒ$cñÀ`ùºRô“Â(gT ×^Ë¡ýys4Ó€Î,±O£PCò6è´ºøç*]=ˆ¶µïS˜ƒùxBƒ+ÚKÅè–fÕ“ŽQ'¿Ÿ\Ää5©Ãiê K(D’Ô¤~‰÷M»íZu¹Ì‚Þ m“4Á7 Ex éK9xø[äÍÑŒ‡´Ä>&•Ÿ]·Ö,Q˜Œmw;˜ Ä×Ϧ»ˆ^³BN뇻¾ý¦|ôÔ ?Bú#í×XÜ`ó+Íù< W‘^Õé›z£ß‚¡¹Ñ©¼­þ%òæhÆV·–Ø;`jú–"ØRà…X4úXôš^ ø ©ïðÏÀ›ÐÜ*ÌÖRO“§_l+Œ`Hr[;‰b[ÒïðWàýWFßáY0­¢õåHO«»ÃÆ´‹â^UÌà¾)ý æ„Ï~¦ýç–º2Qó ÍëwàBxésÚ¼–£u:Ìûú^«¦³_ö7 H¨¥cv„î÷iªUb{<ö\à›=‰èhW¢Óê¸õ#Ò)m·Ó£R,ýŽW äg—¾¯ý:·—è š^¤|x¤È¨á¡âÝõFiÂÿ$ o#}[ª;š¹”ð.[áK”ØaÝÝÞZ P0¥ ú„榺òýÌ¿BÞÍô3×—Ž„Hã2¸Õš¿_wÃ)ùFì_ƒáu¤¯kS}DdöÛµŠG[jwŸöÔxý_Qê6¼×á;ý ùÿ7 Lhn/í“€ÇNC¸Yé/‹|WJѦŒ‰’~-ÿ& ö„æ– e+iõ":œ"mÅÿ,—Pow4+×[8ÞÞGZ鈄œSv×€~½ÿ_ðS‡HëÓË/Qøøiýèüs,êj͉,pÑ=i5Ëÿì•pé9cD±<·î·R†R”ÛÿÛÉu€IÙP}€©Eãÿƒà¨\‰ßJcÁÿûäç¨äI߈Gk ÏÎÆÿÕ‡r‘ÛïóÛ»|öXæü'鯆#…g¿ïòX„áôÏ¥´œ‘]0lÚ¨¦ÕJŠZ ½»8…ôT¯„³ñôŸÿ—~×ý¼[ìÊñô?R.q*ªn™ÿñÄàoº¤Þ@ð§¤3ç,¹8e;- fœZ<5ñÒJÅ“˜ë‰Wn½æ&­0óV±\lW e/j¨à1T-óÏ«U¶Œ{î>Mà6ª4‹ÎoùeIª<À$áu¤¯¬©N­SŠ0a¯ÃVMQö7Ä£XSú!|† (Ëcé ]y90›}:·Å~ôÍË—Ñáœîü>pøU…µöã¨KÂÇH?Ö~FÿñÉÊ‘ëÊ%V.—å‚yãIÈfÍþÀww“ÌžËið@lLfËìyÀgŽ±ª¤ÙÏèÒ!+?# ÍR1ÍT²Xxëo¿OÂÈñ§ØCyr!©S1Rw¾Þ6Ü(Ò­´ðJ0EÈð;íƒJ'ýRí âÓNW—0L?ծݓ,RŒ“$3jpŽ„?×èš“ªxÌå RÄfœ^DÆçÈ·f‹”ºšBÙM/ }Á`¶Â`ò BcM›g­¶ŠA̯ }ŸALñšäë¥Ýžx­7Þ°cKÀ{Hß³cóÀûHß׶‹“eöE³ž'nPÑ?>Aú‰6™',<ÇtÚöBaq7ºbQw½6Bã@+®ÞµÞxív­ª°ÊÍc¬žvu‚_`†…lÃ1ü\–ì´Cˆå•tùRÛ¼†Ä §lÏ#}^»@¤Ç;”ý¬€xlÓàËkÍ Få‡]Â6]†Ã®qšç(0+Ï ­40M”V.?‡Ëûû^¥¶ »ˆ"5«¬´Wa;áUÑÈÖ.q.Ÿ"­?ìºÁº÷hÐ.yú­A•N¨µ ×PÉŒ![aÀ¶Rö·Äc›Æ žc^­°œšek@  Ì @ó­Á*ÍÀˆUÍf`nuÚnÓßiµáUL~é9”?—ô>û"|‚´þH`–E‹G´j²‡Í™¬÷O£’ g‘69óIñ~*Š1d{i¥™žÛQöŒ)¹Ø¢éb^Þ/ 3ôþS|-Q]8…ô”±`‰Z€î*§[ýÍßixQgžð–?*0ƒ¬ ý@»Z—XØù×é^_x·ºUkvü¨iâ­€$Q!(bÒ‚¬*LÂílƒØö>Êþ†€xlÓZß\!¾x†ÀX¹,ÛU G@ÃIuÁ9¢h ¹;Ý}sÛ»äö>Ûw}ºävþ²u),æ…§î&#§î¬ÕåEÔßE#u™¶¾v\¥Í”«“Tz³ZZ»Ã!:cÙ¦,­ çˆ ®}\/³¯©Í¯¸MVkVêÕ#÷öÞîµ|éÁ*1œn"½©Íôã±½ia­ ¢S à6Üý2ûÊódí{6Mx iµÙ›qû&J÷~”½}Sve§{þQ€Oð+'ÿàÁѬœˆ$&d¤àô.€Î ­d©rRžó=´í ô»Yc›+ÖD¼Hšƒƒˆë·9:ˆxÓ¼ƒŒSZY÷˜€KN#=½{LÀ&±÷¦•º-=÷¯Ïôëî!^=ÌÁ=NÃ%Nçë§áͺÇ)’ŠíŸLu‘Óp ÂY§/˜jV."œ˜M ¦jËE(û‹Æn\Xsñl.rnq&_ã~dЃPôxY÷8— ´ØƒWÊòìAø•lŽyõ gágóq³p‰³ùºÇY¸GÃ3H}MÖAÎÂ)Î:Vg gá„9Î@gTž$æz*4Èn«u$g4m¨~ŽD«(ûcâ1Tã/_|õuÊ_H:ÊP4ל#?ÎÇÖ)IÊþŒ€ÊQ¬è[ñø§ìÅŽ %0ºŠ¿˜l/£1Jc£WX‹°Ž1’<²ybT:©MÚl‡ãi#6ôIUY9*ýŽm±w%vÀa(Wþ®^k,ß/­¯Ñ‡Ý¤ßä:ª‰ð¤?Ñ~“sÕ®òJDPž—ØÁ`ÈÔ[1^Áÿ¿­U;{¡|ÐZy½Ä‚ÿSЯ¹ †„z×zôìRÈ[Ý…ûx\_ ¯:=ãbÕÞõ.à"MUP´JRÚÓ<*?PY†ß^1ZJÒeL@õFM‹Æm”GåÒèƒù\cÏQÉ3©«¡Ïú C=0ô÷…”1ó™èµÞÑŸN«™‚O#-Ì,³ÞMÿþX¹Ô£ÂúÓ ÿp—î}KŽNÙŠ3bSu ¦ Z>¾µŽ«îj”˜ëhÀ…’±]1”ýyc»¸š3ûqës›Uöv¯æëµý0úVY’#?~@8ô¼Á*%ò÷Ò ö«ˆ²¿* Å*:®=Ðr @±XJ<òwäÅckÅú.!]Ò¦|›b}wÃG¼KG¢‡š[ ÁÉy›$iÞ Â­ƒN½æµËÑ–~H½îV¾ ˆóßø{î¾übý¡Eä.W‘^ÍÞ§Šð#Â2ÒeûÆLÙßmS°_Žyù”°”¡O§1 Ô @¡·Rt¦BŒÒXmG¥¬¦€ÓHO+—U_…3>Ù‰q™Î#mn)õ0È9”*áÒúËH—Ù2‚د°†û­Ç\F-qÛÒ²GDì*péMm‚Eƶ[ï¢?öBÚ€¦á`„BgfȀƿþòiû!*³À9¤ç²·Á}ÂûSΑûªöSâf¶7^µW[*Á/ ý@›àSÆ~2‹"ëP|ÙN‹UZ}úy·Ý:Ø÷Ÿä…éiâ«Aßy+‚VØÑ[ò9ò›¡¤ª­0p'"Q—¢ØÓÁÿ¢›—Ì{C"’§ˆôuTbgó•M¤õøc ¯Zs›Á ÔvväÃå‹‘²ÎQd5x¢¬264É1Gµë«)û}ñئ1‹‚ç˜×àiH¤lCƒ§‰Þ°¿pÚéj*Ž ŽÅxÝ E³þ¦¶Ä¢åêÖŽŠÛ_€un"­ïö·ÖÕÛ^ÝíÔÞxÔêR»Ýªv´¾¾"ÉW °­µ©!×𸮔í¤ïØwDʾ$ Û4æPðójÄ ¿ÙµŠ ¦Dª,:} ¦’ES"Ìlj ¦Šµ«¨`Ê£&(˜* ᓪXAÁ”Íg>Sí†(%Ü8e7 LP0Íjþp92ÁLmBEÁ”ÌL „º‚)ñZn8} ¦YÚÅðžÓ§`š¥]Ìï;} ¦ªm…š‚)æŒ!&(˜*’±¨`Ê`_qL_À„‚é<Øj4“vQÄOl%¨xØïPö³â±McÏ1¯a×UäM˜Ý°KEÁ”€ š…š°lL‰s˜ `ªX»™(˜2T:a‚‚iV­•Ì²½‰ôMûnHÙß0¦`j‹Æ5<ǼZƒEä½èdÚ((˜£Ð|k©‚)Q.L+׌‚)¿~D(¬ fíýTcÈ6AÁÔ–ÛQöŒÅÓ°EC¼÷˜§÷‹÷³ó~USbUN9} ¦š-@ ¦7a‚‚©bµf `zu}ÓIT0ͪ rA·Ÿ¤`jËûn‚ ǘ‚©-C®ËZkÄ»°Ù5 ¦D¨LP0Õ\ƒ5ª`J' ¦Öêrõ·b¤.ÓÖ×”‰Rø¾Ó+5«¥µ¡Ö!ÔlS–Ö(»1 ¹µ,L‰á,pÓéS0Udš‘‚©x]S[}(eÿDÀ˜‚©"  ¦<¶¡Ö­k¹Uv·“LmU e^@å;ʼn¹V0åÁnù-O3Ã*é" ì ˆG±¥šÔ¥³ý‘.âÑ,•'ŒÑ,ê`ŸFRÍ*«·Þ©Å½`žâù‹¬Òj·=¿Õ¬ò#$;µ¶ß¡¯Ê¾@UIhnwåí®ÔÚUöÝÛîÔêAµL47töÂú€ÁÛUk£_¯D=°,û»`Løi¥Îáû» çò|æ×)8^ýí´[°¤^g¯UNMnª,c­èÚÑ°>¨]GÞ뎩A­ø­“ƒ£F¤ž&6`ÑÑ8!"×ñRvcÀ)¤§´+å6Û9h†¡ÙJ¡Ù7ÜCÚ.u÷é¤m0v ø ·^—5"âyøiýB‘1?Š°¤4ŒÜ€m8¦Ž–'Þ8ä±dhYö„ Q»\Fz9ûá$e7ëô?`fµUoà‹„·‘ÖŸ?O†Ã8>”“µ\ârøiý6;èqjÍÞ>Cð¿½Ö[v˜ÝÕÈè¼{Å­WênÇ«ª¬EÞƒYßsLö8ò÷}äMø‡Óx›ÐbãMÙ§S÷1éû”ÿ9à´Ó½£eèõ‡)ů 8¹ŽÐÀ"9êЧté—¤ ͤÁ;@£\µfÇk¯òik»!Ý kªÖèÖ^Å Æ[·ž×ìM“dùo‚ó¦ÑøÓˆ06M*‡fM÷ÒÌJ–¿ÀÙ ÿ`Žzļ‰s0¬j 5I7«Â¼ÔàõÆ>¥}ÿmï0œHô‚bæL»qÕÂËÑe|_e‚-X¼èËšäWYxX‰1®Ï·.—ƒ$NaE“Ó¯¾õW¤Ë{ 4 y§²j¿#ùYs4ÓŸ•{ÑL¼1$ÞvŒ|ŽI2~–„zÑÐ’vÖOîôˆÝ–»Elî7‘Ö߉¦ŠäØw™ÿ]»³Ü\‘eõʇPk®(7T|›þÿ`Õ11TœÃÒní ݪeíÖÁî^ým>´ ¢u¸‚´Ò<ñh4‘tõe'º ›Âèä'_üð‡Ÿý(Ômà¤õÏ_H·”ýCñè÷cá"è¸Â)mt š„àŽn´òÃÊ÷jõ:£sîõ2[^ßüàQj¼´x3'4z’½oWE–ÙÇ`Chþ$û©Wà•2<§Ü>qr´PöÇÔ›´Ð¿N¼@󼻩,ÉïS'š¹|Š¿<á¨Þy¦=®[\DcV@<ÖWA>ƒÅ|æh®‚Œñ®‰Á˜Fˆ‚œÚÏ%{ñ¾÷{úìä?ÄÞ[9Þ÷™§AÇÑŒÔE>Œ¾óǹ;e 43I{È3jÆû‚4«ÁBÅøÑd³U&EÔ“gI–ÛÞwµ6Û{Ò#˜.m·êÕ•Ç:À_!ýJûu”â]¿'`¬!— Auò±.Zœ0¶ì£X*ò-Ô8ŠbÜIl¡$‹ÅIµõ”ƒ ã( 3UãP)…‘­%K!ý|­›(P»ä÷‡/«PKU¿ŠBѤd\^AúŠ±ŒS[?Ê®œGzÞ~sAÙ/ˆÇºŠÌsðOÊv ˜£Rö§ÌÆ?O4jÕj=m:ˆÛà¤ÍùÉ¥ ‹Ày¤•î1—˜Ê×=¦à ÏÐßz"FÖA¦`SGM%k™rºñ^óœ¡ÓwfTž¡'æz*4Èn«Õw.˜ÜàPý˜²VPöÇÄc¨Æ_¾øê딿pìËjŸÏP4Ÿ;G&Fœ­k8”ý¤€xäiзÎü£Ó›džh/~tÃ!ѧø÷ßK¶—Ñ¥±Ñ+¬ïÁn8ÆlHòNÐبtR›´ï;Ñ’G<Š|jóy/´ùˆ¿½³Ïž®²è.Ër£SqÛ~‰îr,︕N«½\9¬¯”Xcw%õ~`*ãÀ<…H‡Yya*?CÞÍ\Ê{ŸÝaâUªeùz 6„Zñ0Ûü.¤¯ÁR$ °Åx5ùàÇEð_”çÿCp&ÜDz3‡þòæh¦†—úk˜ð›Z§ãµjü °#ÔŠ©~„éb"ÓJ«Õ®¾Þ©×öˆþä‘^Ô&úDÕ4Ùé7øs°&4w?¹ÈôÊõK0!,"]ÌÁe¾BÞ͸ÌÕ>CŒ4b· ©Ë—Ö×`Fxé«Ú,ײ,±ž8pðQùž<ío@•p éµ*ù'È›£™JÞê+>D”)Gۻ主mÏk.–x¬™2­ºŸ+”åOÁ›p é­ÊògÈ›£™²œ[bÏ«Õ~•×Ô°T©ü~N„sHÏióût‰ý¨ÕA`-TwtÃ×=è´(Z :Ê^×¹tïÞÇŸ®0Ûa‡H?Ìm:Y’æ_gBsÓÉ9Ö+Ü˽â•/ß*8šëbå}ÉCÞÍøÒÀ—‚ÎÜóÙ¿MrjM—ú~.zè³Õè?iÆ;`Ihn)è`“eôY«R ª{ÛÛ¡(R¼6ÙÓrDðäVcÿ ãUS#L¥¾Ð.^‚PXçÒ¡OÊýÈ[¹;¯ýÖmWƒJb_lû^ûMôŽÞÎŽWé £L}¡=¼ÄžÑš]b̓ƶצ@”<î¤|i×@ˆpéYmr×ëµí¶Û>\Þ¯¶W‚®$è;ÜJÅó}Šx׬¾²ÒTz„ב¾®MõnC\¦m½©yX¦= µ7Á=øñ]l¦ÒÜ•oy¿S»HßÕ/`ÆØnP”ûÄŒ—è28²µò•MôêF øý†þjnlÍ­æÞèg|àS»÷úðu½µ»¾¦Àµ ~„7ÖW7,'rÖËÂÖ,´×Å´Âø¦¢„e¤ËÚ¤?¥€M¾Æ>¨~„ôG9 #¾CÞÍ #–ØÇ| ©´šÃ´|ö.5X*É6ˆ. ½ Mòéûƺͨê­W@ôQ+ì[Ñ÷†ñÌ¢·’~´ ÍE  Ë=·]bÛÕ]RÍãCrôú;<ð%ä‘øõƒ¥ªp—ïÔÀ÷À(÷›I}Zô&ëk%¶Sš …ní ÞDúfÂ[äÍÑоù[(KÜöø [ŒK³|f„W‘¾ªÍòÂR`uM¯MƒïH8(4Jiv‡`Dxi}ó/Üí Ýj0^]&íÚ»åv3˜,¯¯­“òf0Í ¬òAÜ(QþPŒ¬Ä*Ë]–7ÿGÏÁÿ­+Xèoñ&„_ ý…ö[ím #Ûà £a-e¶^btÍ9HþÅÚ¿(AG øiãý…ߢŸ„¿ŽÔ+‚?M 觠lnü…Âëþ%^‘PÙ鉷ムòjç(œu§Ö9Th¤ÿèšßªî.ó_-¡ E¤Éü~sa5õgë(ô¿]ÂûHßW¡ž˜máU56óºNBÖ/Ýï“m´|_Aù±"ðÞEêm Y¯ý7vŠ íÐÚßà­9*—€™@Öÿ܉åqÄ£ëN ñâKìËr)’á(±”ÙOË¡èËK·í{Íýø\5˜ü¿@þ ]o:ºtÍØOÜv¯Ÿítå1 Ló¼áµk$“ýŠÔ‚îm¤Ž5ÓèÿKP&4·r]`l}cuý¡tü „¤ Æóô«à;^›Ô’\óŸ#ïkþk¸#G=×<¥Kçß8QˆŽ±Ί¥"‰âoQ#‹"yO«XÞs’¯œ¥ö5‚*P,âÅhZoª¨åßÂYâÅhg›r‡²Î#=¯?á¢uŒ`"ý¶;ði!¦*GzÒ²ODnøiý%Œ+Œv+\q…è 5×Û4k‘døw°å¿Cí½§Z{íú´púSà ðÒJC]9«¦ì–€÷‘67LMµê¿ƒ5>@Zí帊Æ)Qx|Œôcƒ"·Ùê쑲{HÞVoµ¾eÁ´¢ëfn=”ík׶ÂÈ¢,ó ;þ·NS º'â¹u¿•Ò[QnÿÎɵ§ì ¨Þ‡kÑø÷(ŽÊ¥‘ø­ä+Lü¿ÿ€ü•<éñ›:ôÙÙø¿úXNôänÃmÞ'Øeþ“ô—'é/?û}÷&¡"Íû)­j¤HC½@zp ñŸ|öåÇ åDoeOæùÿxùèwÝÏ»…¯,H£\î(¬n¹ÿñÈØ4ÝFR‡!øUÒæéyK®NÙλë,Aô¡SÛÇ#ßbF¢V@‰¹žxåÖknÒtN˜$$‰©ÙªÊþ¼€± šsëÓš¿_úqÔM¸Xà²{Uæ´wÜJ(h´Q-K’æá‚ ËH— ÖY§Ö©'9¿Lxé»ö댲_b×^¯GpŒ]W,–c¢[/ã?Ûb?úæåËî¾føƒ4åã¨= VEÊ«,ø¯ƒ÷b‰í·üpàzde\ž3oG W‘^Õæ¼Iœ)þ)ÙÒ¾ðA§p¦O~Ó w‰ÃýX|Ö¨uÚ´9´.Ï_ÔHXÌSä‘ø7Ýr›vµ?þò«ÏJ¬\.Ëo<ˆaÐ/"}Ñ`£rà»»IÊ8òâ Š±Q°­F%2 ›H6*×uéÐ:Þñh–Šñð¥’ÅÂñ~ò$7r§ȳà¹ô8:9'i-ö-å÷Ý *±ÿ ¼›4pÁ,ü Ò‘_÷"ÂÓÀ§H?ծݓ,:%IF À)´QC ¤*sùª¾1‚qéYc-RêÒe7 ¼€ôƒÙˆ{É#€^tºí°¦MŒ³V[Å æ€W¾bÜ &ƒxMËXÒnO¼V€Hoر‹%à=¤ïÙ±‹yà}¤ïkÛÅÉ2û¢YO=‡>¨èŸ ýD›Ì“`ãyÕð–Õ¶Ç|ºzÕ OQs'¯ÍêÞ¯Îj;ì°u^°h½ñÚíZ50•˜•ïnï+¾À Ù†wAªÞŽ{Pïø²“ºI°!Ôš§˜×á”íy¤Õ&Àâo•b%Î ˆÇ6" ž£™Á¨ñ˜t††]ã4‡T`V ¡šÇ\ÇbŒÊÏáòþ¾W©íÃ.¢H Â*kíUØNxU´*ÕŠÀ§Hë»nÃ.·Ù¡Æ 풧ߜC¥&\¤Èª5 /!Û›Hߴý-ñئ1‚ç˜Wk ,\gÙÐʳÐ|k°J3°îqn·»ºHwà{C®&¢^>AZ$0Ë¢…¹€d@ªæGÍ™¬÷‹[³H›œù¤x?"Ü…Ù^@Ziæ£çv”ýEcqÅmÑ8‚瘗÷ ¡÷Ÿâ«´ ì N/P)ƆZ€%jºëÇnõ7~§áE-¹¾Â¹YdEøéÚÕºÄÂοîîï×à )­Z³ãGMo$‰ W<’bºeÕP¹ÀñÃSÿcΑSÿ¶¼²¿! Û4„•ð\9ä=çdÙ7¨€g®2…b p2¾nøbG¥¬¦€ÓHO+—U_…›,i^•¶»2'<ó=Ìzñh¥J¸€ô‚¶ù^dË4ÁÁÜf¥ÄÚ^#hýRïÛ ª¨«À‡H?41kÔüðZ`¬÷…Ý`–ÖnŸ–“·©Kð9B­ùX²z”5)¢RÞEúnö&EÙÝ®!½¦]i̯ՃŽ]~I’x¬#ýX›ÏãF3&Ù¡üeËe'1¸OV½8e5†l/!}É~÷y9ù±MC8¹k/>¼ ³ëÅÇÊeY+%B °«ªØ‡ÇwRç£Ín{÷€ï>Ûw}ß«†£ã–l]ÅIàm¤oçP— ¨¿#u™¶Kv\eæ@”ŠN¯Ç/:&Ïô¥n-Àpgœ>Ù¥¬:$Ên hnã:]å fnt¯Ö¬Ôªžðí^Ë—^r"†³ÀM¤7µ™Þb|œCÛc|)Ú§ØÍV‡Î-”ÙWž'kßWaÓ„·V[ƒ5nßDé>ðÒ²·oÊ® ÜDZ©úä웲[>FZ€#݇RöOÄ£Iã}.•6(¢^Õ븵ºô‹Á8 µŽxË°ø¥:ÊvÆé.œÚ®Êþ¼€ê˜µh\CÁsÌk„µˆ¼ ³aÄQr`ÑÑ=¯'uýe@ŠÑ1V¿sX÷Ørxn•!u‚®ÀÿîÀm{+ Œ§VZ,•ó­EøáC¤õ¤š²ÿ@@<¶i‹¿¹úÖuä}=Sß:Å^+°+§݈8«¡s…'ÂzWx Ư«ªÞOÝJÄ•‡vÌ6ÚÁï~OŸü‡Ø{+G;8ó4xíf$Nûaô?ž¸)‹~B3“´¨5«f¼/X0gñÚ~ÇmÒm‹=:@U¯·ÞÒö¦°¸½Üö¾;¨µ½ªø!Ý»ÃU׫+©ñ¶G‰ð éWÚ¯£tÛÿ=c ¹ #—‘§œ„Op4ë'"JY9 §8 K-ªZªœƒœ„Sœ„UŒX¦´ƒPö³Æ–†¬9ˆs)á1ä¸uæä §’Cî'w÷Ó6¼Ä*g‘V299· ¼€´Ò˜RÏEx0Ž±K˜Ö\¤·(äã"¸o´rrnͺȸ_û­´{œÞ!¦i¤§³w‚ð·Ïm»Fv]ÄcÝ=øöæD>î!®^æèp Ž†‡Xo½Úî^GÖA&àŽÕ!Ö¬’0Ç!e?+ ò+1×S¡Av[­¾UurºP}‘_«xÄDŽx ÀøË_}ò’#¿¯¢hÊNtMwÌQ¼¦«W,”ý¤€xäiзâAèØ‹í&0âñoï&ÛËhŒÒØèÖ]Ø Ç˜ euj$µI[ƒ=sÄ£iCl)¼Ÿjû`;¼ÀuÚ¤i®£ÒLÕÆú²( ·†ì6tŒIßp6`,õ Gû(Æ='ê8Æ6:­Ÿ¹ï$Ž– Ýiš bT½¦_ënÈ^ nEक¢o¦ R.7Qv§b²àX P@Ù^жŒÙÇl£ÊPݳh²V˯˜Ý?š6T$ƒtrîÁ6¹¼tN­È¸ GõVD‹ÆC”GåÒ-ñÿ>@~ŽJžIƒúÌœNN\¯EI'çlô§Ú-ßßvÛi•3‚Pâ·ˆóqÇìÑ1ÓB9Ÿ(‰©,íbÈ×ÿïkÛ…¢Ä‘xL˜R$cQbªY"”Óú/`Bbj lµ–øä†]ü´}9!@£­ñ}gV@õõ+-çPðóvM#oÂì†]*SĨL•Ñœ`e+1Eœ‹Nw¸—˜R¬ÝL$¦„kåI!ͳj ¨dÆíM¤oÚwCÊþ–€1‰)[4„f8×Ö@ÜrÉ°5P˜Î0fÐd*1E”‹À‰)ÅÊ5#15‹Jž=šÎÚûyÿOY&HLÙr;Êþ¢€±Û ¶hˆ?yz¿¨r“÷«JL«pÊé‹ì¨Ùd 1uY&HL)VkSs¨kÂ%¤—²o¨\Æíu¤¯Û÷>Êþ†€1‰)[4Di™<Q©$»F@Aœ‚€ âšk°FÅ)ˆâ$0AœÂZ]Š‚'úu™¶¾¦¼_8Óšt5?«¥µ+0„«ùY-­Qvc@skYˆSÃYà¦Ó'N¡È4#qŠyØ4a‚8EžöÅÓÄ)²²oÊ® ÜtúÄ)²²oÊn˜ Na«¥ìŸ§P¤a@œbÆI˜Ç/«õ?8JŸ$Na«Z(ûó*æLÌupàßJûªcrX¥$›rL@<ê£*}¹Iñh–ÊŒ©ßÔáó?0fNâ3丘¯A-ˆ8j”á(À4œ¾ïôEÎê”é :³šÙõ1.ž1:Q€G:ß>RàìïrüSàáë!—2.ªYo®a€ùNïþ•öë˜,Aƒ¼¤¬K‡Ð໫X*ÆÃK‹#;fG&ÄQ5•Rp+A²Ò¦–¦ÃN+1Wõ0Àš«†¶ÕTPöÂ[óÍ!a€³öÍ!a€mùæ0À¦|óPÖ€0ÀÙùæ0ÀYùæ0À¶|sH`k¾ÉG6±¡…-ßäCÂ}“ža€ ùæøaÕí:ùN;ßl» j'²îIOÑé­È#ÌÚ=ùêWlÛö{òuYŽx¬»ç(ÄY»ç(ĶÜsHbsî)-ÜIŒ.­º§Ù¢{Š1stOÊ~^À¼ÜsH ä¬ÝsH d[î9$²‚{y{¥ úbä„ú¬üCŒs›°SoË?(ûóÆö®¬ùG>QÈÇ? ð ÞbåäÜ 8šõÅ ú§w)tÆé‹ðš•ƒ„'!«-¡ßÍ ÛY±æ Cbdí CB Ûr!!5d|§V¯Ëº‡yÚé‹ž•{ˆñÞwú"„Ûrö™#ëî!ÆZÈÁ=NÃ%Nçë§áͺ‡²ÆÄi¸á¬Ó§1‘•‹§h“4&l¹eQÀØ- k."FÂÈÁEÎÀ-Îäë"gà ÷ *gà„{1RŽ=e?# r’˜ë(!ôÏÕ7ȵ €ð˜€x €|}~W….ŠL"=ÙãcëØ xG<ò4è[FBèó»C7“íe4Filô ë&ì†c̆²:™Ú¤ÑiõÓÆBè+ÚÐbB?<ýEc‘¶ÛÜõô‚è/£‘^Tµ²¾lÑç'úWtÌIßtV`.õLçœ.ºO4!`옵“ŒwP#wœÄÑ’¡»ÑIF¯ÝnµDê@±LXÙÏêeW&¬ìguƒ²Î#=¯mç¢æƒ*€Nuû©¡FU°Œt9{åú.¥LíµÚkx'7l|HóH+Õ¡œÅ–`¥%ÔOÁ9"¿•Å–`¥„W‘¾ªmǙ۔Ž“Gð:Òúw‘å­t–¹š©•N!(p,¤I²2ÒU檓(M’•‘®Â0WDiE˸6«Ñã·î¡ÏZ;Ìß Ï^Ëšî*¼‡péMm‚SŒ5<·ÉîDmIÖË0Þr÷û!6ä3¡Z”Ðh¸íC†ó@~wq9{3¦ì.W^ÉÞŒ)»sÀÛHë_I?C×x+­ÆþAGú¦11Ⴢ‡H?Ôft‘Eë³v«Þj 09Òö{6K(ÄE1l¿§Ã†Øo´‚–@à  ÎÚ|)««À5¤×²7_Ên¸Žôº¶±=IÚv‰Æð1Òú÷ϳP¤ªÖûüù˯>ÓÓ¦JÐIS|…Ì´©´RQ›Ê–SѦ’tʬµ©KÅøySÉbáýs¼‹QÔ«?>½šÑÉÙÖ«á‡D ôjkWQ¯F<3™ W£0zH …)¯WC„fœÞyÁçÈyAÍ)u퇲›tzç'#çµ³pL‘ÚLЫQ´ ½b0LЫ1dêz5Äk¸áôéÕdiKÀ{NŸ^M–v1¼ïôéÕ¨¶jz5Dâ0A¯F‘ŒE½ñôk‚^⠘ЫáëP„ZsÉór£ƒ~NˆÙjkøE8+ Û4&QðÍ Få‡]EäM˜Ý°KE¯Fg%)THŽ¹ŽÅe«WSž½ÅÚÍD¯f •N˜ W“Uk@%2†/ßDú¦}7¤ïÜ0¦Wc‹Æ9<ǼZƒiä=ídÚ(èÕ£‚“ª^¥ÙdªW3íôÄ«ôj+׌^°ÈŸ¤W“•÷SQŒ!Û½[n‡”.ÆnJÙ¢!nuäéýCÔª y¿ª^¨X5åôéÕh¶èÕœGV„ z5ŠÕš^àøIz5Y5¢h¿tݾ÷Qö7ŒéÕØ¢1D´ÊZ#0D´ÊP#p<ÜÓP Vžuº âŠ-ÀÉøºá‹•²šN#=­\V}eî÷¤yUÚî q™Î#=¯ÂInñHìF^Ð6ß‹l9!Ĭî4 ¢#î à±Þ¦Ý„ÅÜt4Û´Bˆ£\IqÚÉú’à?é ox‡\÷»¤f¼¹ê ò=ôWH¿Ò~Ó:ˆ4¨NVtéPo*FÓŽ8S,ã:ˆ’ÅâÈ΢ÆQ„ á`UC¥\“,…´±§iÄÑi%檮ƒ¨™±ª¢­¦‚²¿$`LkÍšoÑAÌÚ7‡è ÚòÍ!:ˆ¦|Sv28D1;ߢƒ˜•oÑA´å›Ct­ù&Ùƶ|“!sôMzè *øæ‘·WRr:áô„v¿²ò¾ J˜°ûeË?è9/`l=Øš "ÌÚ?†Úò!B„šþ¡¨ä$JÎ8}JNY9ˆ(˜ ädËA(ûYcKCÖdˆ`Ö2D Жƒ ‘Ôt%%'Q pÚéÓáÈÊ=DÁ·÷>[îÁ…9â±î¸D!÷(À%xƒ•“{pƒàhÖ=”•œ Nï"è¬Ó§ä”•‹„'AÉÉ–‹ÐïÄCï±ûIÖ\dHl–¬]dˆ -¢¨Ûƒ¨(9 ÑÌÊ=†hÚr!Z€ÖÜcˆ`Öî1D Ж{ ÑÔ¼õj»{i·†GR´8•sœðxF•g ‰¹Ž"uÆ£ ¨ïi—äˆÇPÈKÝDÑÐ1׳H+Ý`Ó+Ê~R@<ò4è[F¤ÎøM'.¥tø%^a-Ãn8ÆlHþ@ŒfÍçh`ª˜Ô™¢ ±HêL<³¦'t&ðëÛdª6Ö—í@¡³dÇ%µr:IÅ•¼8êNüºª4ºµ7!`쀵“J«¨‘U'q´dèôe$ɳWó;­Ý¶ÛPàXtR%y²:IÙœTIž¬Î_RvcNª$¢e\àb¬[ *JRDê*ðÒúQäͶ S-gj¶:‡†Ë0TB‹‡†Ë0TB‹‡†Ë0TBs‡†‹G:=éÄDfÞéiñÌ;Š·SPib!<6õ]'×>ï.¼ƒ£zŸ§Ec %ÀQ¹4$Æöü¿uäç¨ä™4„¥ÏúÄBŒiV Ô 9?°wÅŸÚ¨¦ÕÎj!3Nw{—”cö °iµO5K~£ú§©’ ŽtÙ’»S¶³ÆÖ9$h˜7vjùÎëy¤•Š(1×ÑC„²±]5”ýc‡×4«æú'­f§uÀÕé\¶Q5ªré;+lÍ¥ [Æ'ñ(VØÈwU5C‹¥|T3d£šjˆ0qÐ$}7A5d£šª¢%ÂÇ‘wµYokÚÿõšU"¸}Ðéœé“ß´j!çvë YÅgZ§í®ËóO‚m"½©Íÿ"ñ?*Á¢¦{"žÃIÀÔnX†éžœÄÁ°­†%9 ›H6,×uéÐò×cº'Š¥b|óP²Xè/$u”Šº'â>VÑéÓ=œmÝ"< LÐ=Q¬]EÝQ A÷Da ”ŒI^÷„Íg>ÝÍ)uň²›&èžhg›²bt&2ÁtOmBE÷„ÌtO „ºî ñZn8}º'YÚÅðžÓ§{’¥]Ìï;}º'ªm…šî ‘xàôdCbº'Šd,êžð…«³N¢î‰â ˜Ð=™B~MxÆ y 9žCÙ&D ³5ü¢ìgT_#Ñ¢QDÁs43•vM!oÂì†]*º'ô0Aé@rÌu,>ñÍT÷d 5K˜ {¢X»™èžœC¥&ÄÙͪ5 /!Û›Hߴý-cº'¶hL£à9æÕÁ/²l tO„ãµ´™êžW"“tO+׌î‰Ðÿë­ŽËy?Â÷%éžØr;Êþ¢€±{¶hˆz#yz¿¸u”÷«êž«pÊéÓ=Ñl2Ð=™uzzB º'ŠÕšî‰(¹±„ôRö• ?I÷Ä–÷Qö7ŒéžØ¢!êäÙÌ!ï9'ËF@I÷„(€g>ÝÉÀ€îɾG8ô´rYõ•‘’îÉœðÌ÷0ëÅ£9”*á‚Ó§{¢¼çdF÷„X]>tútOÔçcæuODù ­ù˜9Ý¢RÞuútO²2)Êî&pÍéÓ=Q¬4uÝâ±LÐ=QäcL÷D”Üñ¬{qÊjÌ鉎Œ9GNÛÚê>/'?¶iˆz#yöâóÈ›0»^\A÷D8Ο¤{¢¹“jT÷„(NtO¬ÕåêoÁH]¦í’)ëB^_tŽ\€Îjƒl†C˜ù)«‰²Ãƒ;YèžÃY§'œ1ë˜8”‘îÉUØ4a‚îIžöM”îtO²²oÊ® ÜtútO²²oÊn˜ {b«¥ìŸÓ=Q¤a@÷„Á8 …•ò¬GXÔÿŒ!Û§»pj»Z(ûóÆâÜÙ¢q Ï1¯Ö"ò&Ìn„uFÈ€EG÷¼Zßió—)FÇXýÎaÝcËá¹Õ£­%æwලÆÓÀH+-–ÊùÖ"ü‰ð!Òú ÒFMÙ Û4„Åß\}ë:ò¾ž©oâG¯Ø€SŽîFDœÕйÂáG½+<8Q’õ®ëÈì:lë}Uû’ó.aU?>9ŠÃ'=³¦ì7Äc›†°š—«wÝDÞ73õ®B÷ƒ½ðÒç”ÝëXŒÖÍн¢ËõZ€l¹yÐØöÚl·í¹6ÓݦlÕ×à&Òú6Îغ¬§ (‡_xÏÞÓéÅy@!Š½m»C<†Þ~°6˜ºÇV Ó#éÝcºtû Î8âÑ,•'ŒýØkÓùºëø)ûÖk7½züÊctvç \Sÿ¶êmTUânˆñ{Ìã½ÁXµæï×ÝÃð_Ûóéì^´TÁ]Né¨ <Ρù£|ÃtÛV#¿³™“ý—`óõì?Þ}HÓYu¢–c,Úb©Üg½5Ãm¨ìÔÃõªç†ÇBBK¢ƒ"t8´C›‘*1<ÞÞGZé:@b®§^a&¥Ì(·»ùZÒ]XGmK2¬¸sZs%ùëјõáí:,fÝÑÞT-ÂH€3NÖ¡?þIPÁŽ ˜Â㊚ùæª8 ü5Ò¿Ö~Ó€4È ¯êÒ¡i‰E;Ö+–Šq @Ébqdgkã(„HɪơR BZH–BÚÆŸi ÀÑi%檮¨™±ª ­¦‚²¿$`LgÌšoÑÌÚ7‡hÚòÍ!€¦|óPÖ Àì|sˆ`V¾9DЖoÑ´æ›|dZØòM>„ ÌÑ7é ¨à›GÞ> À¬üã„3PЖÐ3@К ÑÌÚ?†hÚò!€šþ‘`V2DЖƒ Ñ´æ C4³v!€¶dˆ ¦ƒ(‹œ‰:€³NŸÈYV."ʽ%ˆœÙrcì2²5)À- ù¸HnÁ­œ\„G³.¢$rVpz‡ù¦>‘³¬Ü£ vŽÕ4Teƒ¤¦>@nüThN3eL@õŽY‹ÆS”GåÒ˜‚ðÿ¶Ÿ£’gÒH›>ë“š2(x¤$6 ª­ýù´ÚAjjéé^I9fÏ›™–šRùŠ ëOSh*á ò¼%gçÇ9Æc$h˜6tjýøâ>&j”˜ëh2SBÉØ®Êþ¼€±HÍŠ9õi«ÃUÊRRE§»Ðo¬RF‘’šBzÊ~¥PöçÄ£X)'´W]†œ»S,–—’Šü6;!©Q0EÊOD!©íZ3 žª"“>Ò•J¸G¤óó·µjg¯[ÔÁO/ð.`Þð:{­Ps*xA Fd±ÄÃæÞà.Þ€—zÈzûp·Ý:ظµSù¶ZkÓ§ô–ÚÔ]¤ï³œÊ·mºeêt± ti_'ú!üeø¾¦^V¬ ºåžÒzÓËJÙ÷°ÕzÙ÷l=éÒ¡%ê3Æô²KE~ýFSŠÅ‡Kñÿ$šr`Ñé‹?2:¹Ä;Ü+o÷j•=6q$äRk2·Þ ºš µcËÅ-ýnXI?欀xlÓ˜FÁsÌ«¡–¤2l¨Nñ »pÊé Ü$ÙTÅçáǺç5U Œ?zhh½fp‹ž:á ?µ\BzÉ K§ì‚Qv^ ª‹Î=E#¾À‚Q⑉o(”¡"âsÃé‰øÜp Mß¡?Fῃmã Ñë"ÊŒ…6…ù;½G·K‘Þw—k®?„²#½·Ù M2¥¯ß½·Fa¸·¹+Ýó‰*9æ^à,ã¤$êfAƒP°gÝ÷a Ô•1s‡\zŽ°/"Û4Dõš<û>QÀ%»¾ïŒ¸T¦À°àô$¯ ŽâE¢~ŠRÿwGxéËÊ…f¨ÿ#2‹À[HßR!%×ÿQvW€ËH/kòt_ÿ§¢L´|Œ´þªHÐst—y…‰]ÕëxíF­ô$½a´Ðéû*B\sðFB£]ŸçVöXø Ì÷öݶÛñê‡e¶èÖ닃ÞDEyä= ¹xÌ¢Dkêõn/È:î·)&ìzttèIÔÅÿ; -… ¥I„ó:šüWYÀº¶KómZ ˆVÜ}æVÚ-?MæTÛ¯{QýHÇú…Ѩ¹huür¸3§"QÁ'š‘Öož²^_R¢nïm3˜ð-V¼fÐ÷Ro÷Zu/èv¢Ÿ¼(v¹ŠNÁ{@áô›æÌ°¨A¦’Ú7¯*»&ÇÀ†Pë0Š\ãµ™OW!`ÌQ=|"þVI¨`V@<¶i\CÁsÌ«ñZDÞ„Ù5^½Íp~§§PpŽMÔm¾öZoY¥Þò½¤† L~=h6Nøi}çÄèèÀÛ`Ð1d$Cý_§uPÙ+³o‚ñÁhÍks1…Ùì€P¸Á¢Éþ2‹Jº]êJÔbl&=üºR„Âè1ël1² 0Û„Û#¶šÊ~^@<¶i Xo­»‰¼ ³kÁNâøŽ¹°èèu‘ºA²ÔÕšÛ Édw¥’Z†¶WÛ7ž‚°Q>Dúaõ*ƪׯWÙ]¢ÔåŸ[¨Å[ŽæxZnù‡² §E5kåL‰«ç²uÙFølƒpi¥fH®¾)R.Øoý(û«â±MƒË ¤È XsÖäM˜]#|Z86©@°LˆS¡¹»{ÓßkÔ«QÛ»íE#IŠ×­6EŒŸ©¨#ÌŸ ­¿°wÑá÷Ü(ä°·³ÌÝIؤ#[ë¢úÖ8,±‰žZ‡%º(ÛX±Eà=¤ïeßXSvW€÷‘Ö?†sŠEV¦¢QñøiýÉÈ ,è®ÒÀ­[Þö*îͥȾè¸hd~«á±VUš·(X±ô†6ïIÆöÛ­}¯Ý©yþŠl§'Ü.ÏÿeÝéQ 0†l‹H+ #õz›¾ÇmŠ{®^yf8óÀUr þÌ#‘ãÍ<ºÑè(–ØàÖë‡ Áï´*OÚí‰ð4ð)ÒúÍÕI,œJ’¹‹j%n¸hôpIU<æz²ã"4œEZi3¥!J @ÙM/ ­t"M®C½ëô®èQð4mbœÎá*”ûœÓÛÿšsT×€ÄD`¯’w{âµÜ@Z©Ó”·‹%à=¤- ´(»yà}¤õZ'Ëì‹f]úØ8‘x|‚´‘ƒMÏ«FwY<ÒSgn'¸‡’å¬NŠŸ¬¶ª®“(-®¶kU…`k‘%†hî Á ÙÒ­O¾Ø ½à»6„·¬¨ C¶9nYQö³æ´e%ŒÁsvñÈy@úvµ.±î‰0ºà~«ÖìøQÓÄ[I¢b\?á¸J֕˲½Ž´þ%4iï£ìoˆÇ6 aŽ˜k# Ì®8†øQ VžEZéX⥚±;*e5åôVV§ÅótÉêPa$›4¯JÛ¥#.sÀy¤Mž$HYÖ¨ù¡æ=ÎF÷;‚YZ›®J”“·©-ø¡Ö|,Y ãë/¿‘6)¢RÞEúnö&EÙÝ®!½¦]i̯ՃŽ]~I’x¬#­Œ~Žq£Ž“ìPþC áÒsÙ÷âäRcÈöÒ—´KEºû¤ì/ ˆÇ6g(xŽyõâ!oÂìzñ±rYÖJ‰Pxi¥&‰;©óQn·½{@ƒwŸí»>]¤ §ð²uI'·‘¾C]>Gý=7R—i»dÇUfD©|ßé“¢Ìjƒì9 ‡Pëvµ\‡DÙÍí`\/GGÈ*n“Õš•úAÕ¥éßîµ|é%'b8 ÜDzS›é-ÆÇ9´=Æ—¢}¯SbÍV‡Î-”C5I²æ …sÊöM”î!­tyCξ)»2pi¥ê“³oÊnøiýŽtJÙ?&÷Y¸TÚhÑ}¯ãÖêÒ#¬O`œ„Bø¥¬GX9QSCÙÎ ­ÔÚéU e^@åx׉¹N¼êvÚ yóhgŸ:&‡UÒE@ÙbKu\—N0W %ñh–Ê“`ÖÚ &±U /…{ŒQÔãÖ~QiµÛž¿ßjFg)2Bö>GUš;#qŸí2ù;"=…ŸÐ}¯IÇ9°—ãÊ2ÿØ ;¨šÌ7(ÌÂn«]ëì5VJÌmâ í_SúÀŸƒôŸ;&ÇX·¸E–K¬q˜-EYˆá[í¶]ùJÿ õ–´*ý+dÍÑL¥o"ÆhÏ7(>Uø»(À>uá0ïèo¥7*¾eÂM¤õWúÄ22ÑæAcÛk‡®òÁ5\ò\z»ƒz0Ú>P¹3ÿ (c”þŒu¼Ê^3<ÞU¯5j·'’ceöóÖA¸·ÇVJ—ýO@˜P8\¥ß^Deïú,…ãë(@W3à7ÜftcÈ^ÒcµŽBéÿ¤j´½¸B=]'h"zÆJdR¼Y†?+B!vœ¡qÉ©WèÖRÆÀ”Û϶ ÒÍeL@½™ýëÄk3Ï»‹Ð’ü~áDÓƒ_à/O8ªÊyIq:¤‹‹hÌ ˆG³Öä÷q~ ‹ù¥£¹3ÆW£ÖŽ è—:ä'Jö´+÷{úìä?ÄÞ[Y»òÌÓJ«ÙŒbç}}çG…2e6$43IkÎ jÆû‚4«AÿÝqü=:ßX¯·B©maïi¹í}wPkSì…Þ‡ÔÑ}Ðv«^]y,ë‹DŸß9z…ô+í×QÒn|OÀXC.Aƒêä’.ZÑŸ0¶¶¢X*ò-Ô8ŠbÜIl¡$‹ÅIµõ”ŽqáI¤Oê‡J) Ðl”,…´ýÈ÷Þ)к yZ‰¹ž|åwÚ-~C¶/ã"ð"ÒeœÚòQvàÒsö› Êþ’€x¬û¦(Ë™ƒoR¶cÀ}“²?%`F¾y¨@ë‚€Ö|“2,-ú&eWæè›”ý%óòM>²‰ -lù&Bæè›ôœPß7¼½[ßßse'4'à„ Ô²òð „j¶üƒžóÆŽlXóQÎ8ÿ|"Oÿ8 ŸàhÖ?NTZõÖA[ÖANÂ)NÂR‹ª–*ç 'á'a•#–)í ”ý¬€±¥!k"*gçà §àÜ:srSÉ!ß©Õë²îq .A8ôtöîq .A˜`Ó–{Pö3â1ôö§Bsì†î[yÏé ²«/Ðh@èÍâ1Tã/_|õuÊ_8öe5Ï/Q4´tvé³=>¶6 (ûIñÈÓ oùG§'éwb ½øÑÚn£_àßÿ*Ù^Fc”ÆF¯°~»á³!ÉÝ{£ÒImÒ~íDçi9âÑ´¡r´`¾ÜèTÜ6mTzþò;¶Åû»++ìw%–W¤I¿F–‘.k“~*Cš£ ~¿^~ ÿ Ú„æ4läëßEÞÍlb^X õ2ÂC!«Q9Ñ1ivÛ`D(ÈMj²»:¸¢¥YVÀŒð*ÒWµYn°£I*n J´L׫ K¸ôFFè!oŽfŒpa‰}ÆGovÒDå(o‹; F¸€ôÂœ-î‚Ù®Q[¼Ïµ~%ÆÔ(œ8$¿ä­qt Í¢7]À50«-àM鎔ÔäKù7àL¸‰ôf>ÿ-òæhÆçW—ø ´šOqÓÛ^xJ<†æ·¢]µÔë©œëàI¸Šôª6ç5Æ Üq‘þP¿àYtÌìõáëJ‹î}´ü妴¿ÉR_TÅ·~ðÞËm<›F ^Þh[È›££½´Ä¾ˆ‚8E|ÞPý ®4Á}"¼„´~ü…ª[(š®PŸ.ø¤ü|å‡÷ .GX¯ü6òæh¦òg—Øgïöq¹««8%MÎ!ÂY¤gµÉ½L¬x¶5RÅCÖ+üqCatÚÁk ÷v¬×ûòæ˜ñ9ÏTo÷£<î‘ýE§†£Ë„±3ç¼;múÏ­Ò1ÝwÒÌß‚-¡bX“ùÍ”Vi½Và½A›HßÔ/æþ^X®Açx¸hh}¶‡F‹YÞP‹¼9š1Ôµ”êÞq+V{¹rX_Ñ«ø¿UÂ5¤×þ(*þŸí?˹âÿ ysü#©ø¿Õ¿6Zñd+^uF÷;P&4§)+_ûƒ¼9š©ýO×þ?¨|ÚË3iÿì …0šoò=é– ÄD¶j«º«bÿo@(D*°nÿys4cŸ/Ñ2h÷RäÖb0oZd^Ó?h{~$½×½EI‡Õ¡ìζ½Î[ÏkB@Púeþ^€ðs¤?×~™»ƒÝmhö¿S»HßÍÅ°ûëLÞ°ÿ ÞàßälØ‹¼9êö–ØWÝ5ëƒz§ Ña­ûQ­íìxm KM  4í¿UÂ5ÇØx'}­ ©¡V2ã ¶„æÆ;q3QÎ*õèŽËQ#&ëV3ã‡7øw9›ñ¿GÞ Í/-ØÃÛÿ`Ô>—¶‡hk‰,¡»I'oÿ/@h®g‘7‡ÿ„¼9š1‡ÇC'íƬâ?ƒ4ác¤õØ}3Bg—½‘ü=Þ‡P¸!/ÿn‰Ù^ñ‹ä YÿÙý£v!}†²?& tfL—Îu¢ƒBñèŽY/æK‰½,ó¸/Ÿ"›OÑB=ö¼áµkW:âÚÿ„ê#47dŒ.‘xNÍ x?¸·|/¸n|ðpuãѺô ÿÿÌÒ̘­Ÿ~|‡FQ•Dkÿ¯Èð¿åkíÿ ÎQÝÚµhü/(ŽÊ¥‘ø­äSŽü¿ÿù9*yÒ7â‡ùè³³ñõ±Üð» ·yWìÊü&é/OÒ_~öûî;LÂëúï;ɧ’φÊk·[ím·V9?ùìË Š^‹ß­€¤…xLØ1{]ÿùÿxùèwÝÏõ¯ë¢Zð¼´º%ÿÇsËŸ¶ÇS*’?3=äyÕ’³S¶çŒÝ’ aÜÔ©ùã·#„#éòÔs=ñÊ­×ܤÞàŠãØÑ¢±]3”ý¬€x ÕÌéϨRXP+Ò1‘ùµÂi§{QÂX½tjú  „ q1lÕ b1w1vCB²^F“¦Î†Ä.P,–UÌ€¸ï.C¢žÎö|óòe)Š|‰¤9‹7ÛŽú(r¾ JCIGšwÕª™¶s[_>.—Ëòs2Þf&¬BhÿïFûþØ Ì–ñóëœcCTIãŸÑ¥C¶~F@<š¥"™¯€)8NÒe>Éb¡¿ÔfŸ„*ãO±‡òäõWîÐÜ´+ˆb‰øQ\ºJ«éwÚ•Ž'Ç’~7íôà¦#×'k÷$‹Ö%ÉL Z'œ#—›5ºãDy—OP¥ˆÍg‘V'¤Œ_S+(»Ià¤/Ì6åšäDd‚!^Dú¢¶MŒS(E…rŸ^AúŠqƒ˜ âuà@ònO¼V€Hoر‹%à=¤ÍuíbxéûÚvq²Ì¾hÊËƉÀ'H?Ñ&ó„… õ¡ú¶G"< ûÞ‘¬}Ý{ãÕ¡^î‚C1^A뀋oœv#‚*¾À Ó×®?6„ZÓæóJ¹.¶ÍÈö<Ò9Ì )ûYÕç„Z4øúG3ƒQùa×$ò&ÌnØ5NSf`‚v½ä˜ëXŒQù9\Þß÷*µ`ØE©AXe­ ½ Û ¯Š¶@¶v‰søiýa× Ö•C»äé·ET:á ¤odßPÉŒ!Û›Hߴý-ñئ1…‚ç˜WkpyŸs2m hAYh¾5X¥˜Ï7ãÜ:ë´Ý¦¿Ój7Âpç\Î>’l­Üs°/Â'HëfY´~Dòl= {YïŸF%Î"mræ“âýT|íóÒJ3=·£ì/ ˆÇ6 a%6Wïƒzÿ)¾–¨À®œBzÊX °D-@w•Ó­þæÀï®w}™dEøéÚÕºÄÂοîîï×i1y¿U#ÉÞ°iâ­€$Qqój é¥ì¾@Ù^Gúº}ï£ìoˆÇ6 ¡õ͵‡dØ(h`¡0A[s Ö¨¶°˜—¤m­./¢þ.©Ë´õ5%`!ìnRˆÑ¬–Ö.ÂpBŒfµ´FÙÍ­}d¡M g›NŸ¶"ÓŒ4°ç`Ó„ ÂWyÚ7QºLÐÀÎʾ)»2pÓéÓÀÎʾ)»eàc§OÛVJÙ?0¦­HÀ¶bBïÜ…Ü‹O­([á¼…íj¡ìÏ ¨|@*1×ÁØÂÓM0»)¸ÇUm–k{þ~@3ä÷ Äî•Ø}zÂkñ¢&½k,ŠÝ+ƨ$UŠqܯ!}M›çS‹})þöF—b¥Ýò}CÅù üµb„iºÒGÈ›£Wz´Ä^ìÐx…ßK¯¶Ý·Œö«©ÔzÆیâñR”¸q Ré?eÂREú›KP»co÷j•= Çç‘á;“¯½`(~€/ÖƱJåÿ18 ½†&ÿóK¬Õ®ƒD·.ê…kzÒÜ>BsŠŸt݉Šr™ÚØ°£&v%“¶ëS°ÿÔIUÕ¼;P²Š]?3ê_Ò î”ý1ñ(Р…¢i]:Ÿ;Ñ3ÇØ .k—LÍà £¹cœÉ"pi¥Ñd²Ó¤Å½ ì À¤ f›²ÍKÙ¯"}U¿E|Ì¢Úéj­âvH…W:€2QbÀûHëî:DÛ­íîuÂÞ «¡¹ [aZµZ÷žÈþ>LšPXìµîf/÷‹LÝl²Û«¨xÙ xᤕr^öžE8´IçNñ²ð,¤•œûH ,$yY׺e­—¸]>EZ?âï)zÙYþì–P8þm؆Ï™h(P<¼†´Ò¶œœ ÿÞB¸ˆôbö&üx áÒú „sÙ^x·ŸÖ‘£–8j|e­—h]>EZßz;ê[{Á8ÿ·­f'è+YõŸÁ’ Ò̸UŸ¡Œ×þA£á¶®!m!êew ¸‰´ÒÄLΨ)»kÀÇHëGý:&x‚ò|Š´¾õ^cüŒX?˜@†ÓçÚß”¤ù&ûÒÑ=ˆ0È|O‡²ßhµRK"X>BÚ‚õRvËÀM¤-X/e·|Œt1ë^Â`9š‰Yw1ŠYW ZÛZó u@›Œn½%­bòCØ)¡Ö!ŸÄ\é@ çÖýVBΟ#·sZ‹ ì ˆÇ6/P•K#ñ[ƒ…Œü•<é# ›ÓµURž<ò·R[Î$…gœîÍS^TŽÙØZ¦%…?Õ-ú½?MMá„uäk–ü² óÆNM ¿K|ÞéÞ"•ç–˜ëh¢ÂBÙØ®Êþ‚€±XMšUsþû½I’× ¦)I‘_·&¼‚ôƒ54Š¼pÂQ[5„õ¡.âQ¬¡1ímË!AÇ‹¥“ÞËN_¸ŒtY›ô€¾°¶õ+ê Û²þ!úÂ’Ö?£Kgˆ¾°b©¿ä/Y,ô’šïlô…G'÷¦/¬X»Ùè +ổÒ%Æõ…5[$U}aílÕô…m"}aC‘™¾p–v±ä¤ê gióNª¾°j[‘‰¾°"™?}aÅ° /¬m^jú¶†_Cô…mÑàËmÍ Fë ve /,9æ:Ÿå©/¬X»yè gÕPÉŒ9©ú¶ܲ /l‹Æ žc^­Á9ä}ÎÉ´50¯/¬Ùä©/¬X¹Vô…³ò~*Š1'U_Ø–ÛQöô…mÑ®ËçêýÂ`0CïÏH_X³°¯/¬X­öõ…³j¨\0 HÒ¶å}”ý ñئ!î&æÙ Ñ6Ô˜×Ö\ƒµ©/l­.‡è Z_ËB_8«¥µ!úÂY-­ ÑV4ˆô…™æ£/œ§}¥ûNª¾pVöMÙ•T}á¬ì›² /l«¥ìè +ÒÈ^_8«Ö}a[ÕBÙŸwRõ…5ß^K_ØV Ñ–UéÑ¢/¬X*K<%ËN8š”t¨YÓ^4•†mY̬„£¶ÅØU–ä7®[\DcV@3Û:Æ•†Gç1Pix´¢#I gúŸ¤†‡ †k^T3ß\¥†ùBƯ‘þµö똖– ANXÖ¥Ã28ÆU(–Šq©aÉbqdG¥ã(Â5UãP)…§~%K!mòhZjxtZ‰¹ªK kf¬*5l«© ì/ ˆÇºoŠÇºsðMÊvÌI•¶å›”ý©aC¾9þθÔpvîIT©á¬Ü“²+8©Röܓ²Ÿu÷䃛Øè–{òQaŽîÉV8f枦¥†³sOzŠNo±Ç’{ÒSpz 9¹'_µá˜—{‘ÎÚ=‡H ÛrÏ!RæF¶‡ ´.hmd+Ê[ÙŠ2Ç9Žl)ûKæ5²"sœµo‘9¶å›CdŽ|óÈÛ+É€‹*Ç {ñYù‡(f›°oË?¸È2ÇØî”5ÿ(À' ùøG>Á[¬œüƒG³þ¡(^pz×>gœ>𬤠<ç{hÛAèw³ƶV¬9ˆx}4Wnstñöf²çQtMY™pz*ÇdÂé©çè üÚ0ǼdˆÊqÖ2DåØ–ƒ Q9ÖtS³s¸Ÿx$¡ãY¤•ŒDÎED¡cá­m¡ì/ »iaÍEÄ»¯9¸È¸Å™|]DŒ÷aÞEÆý®äôèîq.A8ôtöî!\% §>Gqê£)yF@<†Þ~ð³@õ-r­ <& C §^DºØãcëØ5|#yô-:à£1Jc£WX‹°Ž1’<‘V•Žª¸¢ ×¾ŽR'œFzZ›˜iymá2z’¼¶úU3òÚ7A‰Pëj<¨µaymQüÒ×´yš•×%À…ÿšäµW9aÂðÐt³?’Ì·¹3ÈÙŠX‹à«H¯æPvCÀy$ªAGúA«WbÑÂbàP“¦-Y’¬²êÝ•~5Gife°!Ôº¼r„Ùã¾ð˜T¢ïúDÊéÿ$”)—/Ú» MøiýÛI&ŠV¨hƒEû=Å¢-±hõ/ø,hÅõ”Á14µÑj_¶#)ãmuzé!(eL@½!¨ö¥ 7!`ìÀ±µK÷Q#÷ÝnuЄ³GŒ^b˜p~GÓvSïkRv`ÂùílS–=(»1§æoÌ11àš}ÌÞxí(€Žúí/â´¼‡´¹è‡ƒ$-îÁ48¹6"à%Õ-Q•KCbÙ…ÿÇuä•<“Vè³>I ƒº JšQƒµÓö¾ÛoÕÓªgI‹÷‘†ŽÙ;\¦%-”ÕDxiýi*ZÌôWä’%wÝ<‹ƒ‘ aÜÔ©ä§Æfœî!yj‰¹Ž&h‘p)ÏVÍPö³ƶ—5kfúsºýç5+‡Œªf·Õ,Kòã§êçž3X=£¨YlWeY@<ŠÕ3¦½þ1ä^›b±<Áœ’»ð@1‹®‚Äv­¹¨'m‘:Yñ HÙ"3 †43h÷Š:¶ì~ˆŽ…¤ÝÏèÒ¢c¡X*ÆqJ ý…¤V;‹ÑÉýéX(Ön6: rbˆ<ã:š-’ªŽ…v¶j:Š6‘Ž…!ƒÈLÇ"K»XrRu,²´‹y'UÇBµ­ÈDÇB}4ö¢c¡øt,´ÍKMÇÂÖðkˆŽ…-|-åü˜µa×$ò&ÌnØ•Ž…ä˜ëXŒQ®:Šµ›‡ŽEV­• &éXØrCÊ~€Ž…-S(xŽyµç÷9'ÓÖÀ¼Ž…fk§Ž…båZѱÈÊû©(ÆœT [nGÙб°EC8Á’«÷ ƒÁ ½?# ÍÀ¾Ž…bµÚױȪ rÁ$ IÇ–÷ ѱ°ECh}sm†èXjÌëXh®ÁÚÔ±°V—Ct, ­¯e¡c‘ÕÒÚ‹¬–Ö†èX(D:ŠLóѱÈÓ¾‰Ò}'UÇ"+û¦ìÊNªŽEVöM٠б°Õ‡Röt,id¯c‘ÕkˆŽ…­j¡ìèXh¾½–Ž…­"¢c!?ªÊTÇB±TÎ3Ö(J–špMïðXb®š"¶Ìe&ÂQÛ\ìŠXHòÓ¾¯A4fT kãm‹aŽæx{ ˆÅHgBGÒ°Èþüó?iX < 9È|]ÍzsÕ°à ÷¯þ•öë˜Ö° ñ~ô™jX(–Šq ÉbqdG¤ã(„@>ªÆ¡R ÎúJ–Bß„Q)š(q)VDFç$×úPv`Šˆ-w¥ìÏ ›#Xó!:YûÇ [þ1DGBÓ?£‰ŠJ3N_°Ä¬DTrH–hËA(ûYcc\k»øXkËAx_z"_áK Í:ˆr°ÄNOMaÖé –˜•‹œpzj Ám¹_¿æÛηæ"CÔ²v‘!j ¶\dˆš‚¦‹(K ¦¾`‰Y¹‡(h,Ñ–{@­²‹x ½ý(Áùb¬ú\L«ø]XŽx €^°ÄI¤õWa•‚%Ä#Oƒ¾e#XâhŒÒØd,QråsbT:ªÁmhý»0^WÅm»îÕjÍm´šU¿Þh¥› | rQþèuT á:ÒëÚ¼ŸKò.±íZóm­ÚÙ >^+¯Ë¿‡mñ9Òϵßãc½÷XSx‘› Oø1Òg×wÑÜ t¿]«xÒº¾¶¶¦œÑ\j¿ˆüµò_1ú"Ó¬ûmù£=N#=­MìÃ#%\.W½¦_ë–Ë#·VøÇ‘þPû%–X_½k· Òü1Ñ‘ÂÔ­m¤;Êþ˜€z¿ö¶gÙ‰ö8Æö¬m{ÞEÜu4·=Ú ·=÷j~§µÛv ‹À+H+]5N™ú¥œÇ¢ì Ày¤ç f›2ã¤ìÆ€ H/h[ÆÙǬ[üÒáéˆÊUà¤ï+‰AáéÊ0É5'×Æc ÞÁQ½ñТ! ¶õJCb¢ËÿÛ@~ŽJžIó9ú¬/<¹i£ÓK[¼Ú)/U!{„Àt“H «ŽÙƒ¦Ó}¨ZèAAýiƤ+ö×á K>þ^÷{âQ aÒÀ©ÁãKoE¤• '1×ÑÂÑ ¥b»R(ûsâ1T)ÅïÃçÝV“†ýµænY’œ‹néYƒu3J,:áæ‘íºáw38ÆvŽ$ë&óXtŠÅ²‰Xt뎆.ø®f$ºM¤7µùÛŽD§mõŠ‘èlYýHt’V?cb{f@$:ÅR1‰N²Xè/Ø‹D7:¹?°HtŠµ›M$:…¾ØN$:ÍI5v¶j‘èm"ƒHt† "³HtYÚÅ€HtYÚż“‰Nµ­È$"™?œHtŠ/`!¶y©E¢³5ü‰Î ¾œÆÑÌ`Ôx$:Cî "ÑIŽ¹ŽÅå‰N±vóˆD—Uk@%3 -7¤ìD¢³Ec Ï1¯Öàòæ+fµæ#Ñi¶yF¢S¬\+‘è²ò~*Š‘èl¹e? -C"ÑYó~a0˜¡÷g‰N³°‰N±ZíG¢Ëªà±QR"ÑÙò¾!‘èlÑZß\!‘è 5æ#Ñi®ÁÚŒDg­.‡D¢3´¾–E$º¬–Ö†D¢ËjimH$:EƒÈ!"Ó|"ÑåißD龓‰.+û¦ìÊNj$º¬ì›²‰ÎVJÙˆD§H#ûHtY°†D¢³U-C"Ñi¾½V$:[E0$ü¨*ÓHtŠ¥2ÍXì<”Nºi¤§YŠf:[¶²ûà¨m+vÃÐIòÓ¾A4fÔ0tÖÛ ÃÍÁöÀ0tÃŽŽnÒÉú ó?E >hrlù¦šáæn ø3¤¦ý:¦#ÐIÐ ÷»ªKgH:ÅR1N²XÙ‘è8Š€0!:Šªq¨”€¾’¥6a|/õŒþZÄ#O+1ד¯üN»Å?õe\ +2†2)úÝÒsö› Êþ’€x¬ûæèwYûæèw¶|sHô;S¾y¨@ë‚€Ö|S ¼gÑ7ÅÀ{9ú&eIÀ¼|“lbC [¾É‡„9ú&_Iá¨ï›GÞ^)rë §u/a!+ÿ8áô¢î%ì Øò¾sÉ1¶¦fÍ?†DÝËÚ?†DݳåC¢îiú‡bäV1îތӹ5+ãî%Dnµå ”ý¬€±e!k ù\˯—rëÌÉAN%?†d|§V¯Ëº.B‡8íô…¥ÌÊ=NÁ%ÂRÚrÊ~F@<ÖÝ£—(äã¸o°rrn »‡JÔÖ‚Ó»êhÑ= “£{`T×Ee÷HÌu”¨­ü²¤úú¥VPöÇÄc¨ô¢¶ NËùØÚ›»†"á[Ε۠´µu4Fil2ÚšÕ¦·jÔVÕøKáÑ¥gt}àu»!±»ò´o¢tßIÝ••}Sve'5vWVöMÙ ˆÝe«¥ìÄîR¤‘}쮬FXCbwÙª–!±»4ß^+v—­"»K²¥:­KgHì.káø‡¡Šø­ÑŽÌ¥žS!Rà,Ò&×FRÚRÊn hnmä  Á8!<¨§2›%:ËH/ç`2 0“c&“"kÛ•íö‰U8‹´I›Iéö`ž ΑyRÖ¦ºó\pŽ q5mâÛ¯ø*v1Ò¦í‚ßÐP`w¸ô†»¸¼‡´…“”ÝUà}¤õOœb~Ke3ŽX<>EZ3î ª×Ã}BšÌÔ[­oùa‚j«H¢Íƒh…¾EûÛ¿ñ*ÔÛ<ƒ¢¾4w”`í]¯lkÍÞv‡»Ý:ˆÞdß :N¯ãµ}é8œ L ×^3f{£Æá¼æä:î£ì ¨7î;©KgщNÔpŒ]=T,•IÆ>>äÐ%&ÉIXqO#k°^ôã âWV:›&×tRvEà<ÒJ‡£”ÂíaøìÞÕõÙj´WüV_\Y+"n À'Hë·G¤qÝjU{v´6¨Võ\âŠÖŠV¼wû^»FM¬ÂÉ,ñnä&ÒúK\q&¶ZÛÙñÚ´sõÛZµ³ç—ÙÏÎ ÷°¯³pÙŽ÷Våf#Ni„‹-ï9&[ÊawpЬÐîRóó èÞ‚¹Sûm{{µf•Š¾î:Kw7Á“°ŒtÙ˜7z…u™”&ë‚yv”ý1õ:ú׉G]•2Ó”nø¾ÓY’߸nqYñXŸm®ÀbVÍÙæÀ€Ìš ⥖ìo²þSXæὸÐÐ$ÝH]V3ß\Ã2ó}é_#ýkí×1–Y‚9áu]:´Ú1 ,³b©Ë,Y,Nª­«…eV5•RpyS²ÒÖL‡eVb®êa™53V Ël«© ì„e¶æ›CÂ2gí›CÂ2ÛòÍ!a™|óÈÛ+…~C#'@ÉÊ?ÄÐÈ Plùe^ÀØ–¬5ÿ࣋X÷nË?x7~"_ÿàÕÍú‡bè×N/6òŒÓú5+9áôb#'„~µå ôÌ ›€Zs!±‘³v!±‘m9ÈØÈš¢úUŒŒ<íôŶÌÊ=ÄÈÈï;}±-m¹Íu÷9k÷Ù–{ ‰Œ¬é§êµ¦×9Ü—ÿ*FGžuúCdå"b܄ö\aº»\dÍE p‹B>.R€[ðF+'áÁÑp’Atä¬Ü£ <9ö ˜øt1¯D J“ƒ{ˆ ˆ9º‡&ƒÈ[¯¶»—vå7ÕA&à<<¥È¬’0ÇFÄQy’˜ë(áÃyõuv­ ì ˆÇPȇ_AÑ܆)"|çck'ù6¾Ç< ú–‘ðáËø÷w’íe4Filô ëì†c̆¬‡˜,Áž9ƇKòÙÖæ³ «Ú|Äß}¯Sö=¯ºüàá£Mù‘e˜@ÙITµUdu·ÑzSó|öt•E©_úaóåf»õv9úh¥ÄÖ×ÖÖø•4ë»`z÷hZ“õôûªF4ÕƒÁ¯ á4ÒÓÚÄV¿£½öå¶Û ƒÒ± ­¨KaÀÓ­Åî†EyXÏuç{jr~2€s4FÙzÓê˜yƒ °&4wj÷{ÊoPêHÛZ—›{xÂï!ý=í·yaâmÖÊ ïsï@øéÙuæ©< oŽfŽ§—ØéPw¥E-Æ;iVÁ„Ð\¼Ô ¶7:£³Ì«Ùõüåw[‘¬È×ã`G¨»âÓó v'µYžÛ#ð!4—þq7*ÄC¶ÅÊåª×ôkÃrye… )¼À&Hš;i*ï$BÞäZBAòF%(K…FEhæ»®™p›A<×Êä™ ±Á ºÍP¦ eºv[F™ÊÛà‡È›£œ[bÏ«ÕþàÏòƒ¼gàD8‡ôœ6¿å”Æ&꜃: »g…vû#P$äóGý뤷¶•ÖA³C-£4Ûç`H¨hBüíí¶´©Iøc$¼´~y¯ùys4ã5SKì“=·¹ë1¿âªÌˆ>•O»ÿ@q å­ÒÈõÉîHSþ 4 KH—´)?eQ¾&Ž¯ÆÕš×ì,/~BLƒAv½õ–ôvÛž× ~Ü ¼ž~n{U…Ñç MhNœBÞ(…ù‹A£ÜZb_ìt¼f0qaÕVóVqnö<¶µ–­ð§m·MWmÚÞ~Ûó½è+Òïð}ð&ºHýwm”¨¶¶}¯ý&¼ê÷.cù ú¥ßjx, ™õÆm×Üíº—z'(õ„y—Ùwø¼'WŠ“cåú{­·ÑúæAc;x‡à¢ùˆô;ü¼`ô¦—è°¾çVöX43’/Ü?Bs‹> ]ô ¬[˜œ«Žú^‚1¡0ÅÓdÿl‰½Ø Z±Ö[ïצ%!•3ˆpdÃ*®ßáu!ý?sBa|¦ù÷'u;Þn«}¾¿Tˆ1Ùöaø"}îœÒÔº„ÂZI.æ#/ƒôaÔ|‹-JÖÝmêÃ:ă!CšåÐ!þ9òæh¦C¼žºÜ£1oøô…‹¼šT?úŒnÔçÀ¡¢‘¥`ŠaÀU/¼†Lþ%~wà•ØÔWù ô …©æ«l.1 eÞóÞsßx‘zµrÑkD1¬û_Užÿ×àL(¬e0…£¥¬h˜úîu½µ»¾¦°–õ š›Âݶ†d€ùOÀ–PX†×d~sH9ûßµ; d ‚„7‘¾™y1¯`þ3°ý™Ñb–oŒŽ¼9šiŒ?îoá*­V»ZkC æú¯áGƒå”OúE~ò„Âz„æ‹<_ †Äo£&—ÔÔµÚµÝà5ëªíÜ/ÁPX²n¯7G3†ôßø43 š'tzÁôÕ‹Bƒ¼mµ¿ f¯í`µíU\ „N§jm¿#ÍÿWàLh®¿ºnšP‡Ñí*{­ðÚs‡ýÖk·‚ÁF³J1£Þî³rÑòƒw æ¯Á+z»ÁHô¼iÿô ÍuÝ/hÖ·SkÒþ ‹Bûò-l¿Ý †ñØ»P½…³r>X‰*Iú}^ã…Y¹æû,.ä¬#Dnº†ImzL©T¢r„‹H/jMÚR‹Z š€P߶•¯Ãr‡¯‹ag®0äwAšÐÜ–Úgäļ¥#Î%j´î·´`ÓözKR𣠃¤.7Äf–~—mð'–'u$ùÊ R¨‹ 8WŒ6H?ÈÿÈÜ6*=Eîû€ý Øoׂñšô ì‚ô®ÑVçÆ  ¾ò‰Ž=ð#B]é.š ßDïN!U§5Ð%4¸h&E½MK›¾§Àþ7`LhnÑL¾õøys4Óz°%öÉ}öBâ=äNí]0 =PšfÔÒL¿‘K¨ìèþ6õ U·ý-ߋîââÛ½ZÇ‹¯™* iàÍ5ròÕßDÞÍTÿÙh„´ãV¼ô¬©œZàAÈϧŸÕæ´¶ŸœîÙEBs‡+B¦a¾ÞmתËÏÃûì¯Ù'Ádªz(Oó;PûΨÉ[\ys4cqñýà0¼n0+Û9¨s51Éã+ÑØ%šÛ…<(¬eêkø NøÒi¿ÆB×H“J“ì€áÒ x¦yjFMóBæÛ¶»¿ü׬±ïºòìÞ€¡ ×eÝqÞ"oŽfgy‰ýð Þ©Ñ‡n›ès_ñ݆ǂOöå·cß"¡¹fñƒ¥póø,õ’á©šó:•~iö‡`LhnxÖ»ªópcó‘¼)þL‹HµY=©ÖÜF«Yõ_û 7æ-ÿäÈ¥þ¡Îµ¿kBs÷460-:ú"ü¸{0«x½ÚÁ¤Ta¼þÏ@–pé ý¢'—{]9ès»/C·‚ï+Lõþ ¬ÿÊhѯvß@,Þ`üÏ%²Ãó·ò­J/û×àIhîbÒ$μÙZ¤2VXúøš›Jß̵ڪîz dÿ ÍíÊwjÿys4Ó©}ºÔ]Ð÷\ÿŽ!Xmt¶ŽVxÞÔüƒÀ¿™·³C—mßxeÆ^tnùl;z©’=©¯ò/@ŸÐÜ6Åã%>ŒuÙÅšõš•C¶ßªî}tÐÏñÑ-½^ð/kßzaÀùÔ¸³©/ð/AšÐܺÕGš54j·ĺóï°•S8»û¯@ð#ÇÔÈü‹Üê€J9¾²,Íó_ƒá5¤¯ió<L„ÚŠðoÀ‚‡#пŸ|o¸h×ùß‚-¡¹ãç˜î®¿ÂsHŸÓæu7¬ãÚÎ}ÏmZo Ú†i?xo¼¦¢ü[0%¼‹ô]mÖëÃí«lªVðïÀ•péumÞWbV@ ‹6ä â߃!WÍQ:9BñÃ%öÓ½Ze/”ºàv¯I!)B´kAÇ×Ýâˆ&GÁǵfEþlÁq‘þ0Sû¨zû=mûøàúÚÇö ÚÞÕkåJì…>â?%!øqG…qb¶…WÕV30¿“5nÿgÇäÈL~„Hù±"à²æ7þÞN¤…Uù{¼5GåУñ_P•K#ñ[ÉQ€øÿù9*yÒ7âÁnè³³ñõ©œðÅ݆ۼ{t3¡Ìßb’þö$ýíg¿ï¾EÀ%T&9ï$GþE€L«›Ÿ|öåÇ åDoŃ×N!=Õ+'Ǭ(ÉóÿñòÑﺟw _Y”ä#år§¢ê–ùIÓm$…¼*i´¸bÉÑ)Ûiñ(Ð0käÔîñгçV*žÄ\O¼ ÕzSò}(”‹íj¡ìE9*<†ªeêû­ví·ÁpÀ­³Ð«$ÙñÀ¼Pæñ`UN§Ö© Ÿ5Ü0}Ñ~åPösâQ¬ýÐgCZ‹å1†º¡÷.#zB0ÔýÑ7/_F̺?$˜¿º(©ì8ê’0a1Jñî³à?¾zJôjU’5ì.–Â{ª¯w‚O‚_|þüåWŸÑʔ®+oC &i»Âïî&¹—&âØÍ–+ðàùcÃUIW¸¨K‡,ÿŒ€x4KÅxdhÉbá@_ïÚ³b~ü™î¡AúI•; 0R¹ñJ=¶F²ÍЄӋ¬{é³*œR±úòË“HOê·B+ 5R±·€}ÿ`Ì92³ÕSöçÄc›†°‰`°G’wÏ3È›0»¶÷$D ä À¢ÓT¯Ø𞊯NÒ¥½¾ˆW%v€ÝÏð_û Òñª²µK„§O‘~ª]»'!í,IF8(*Êøh´ÀIU<æò…B)b3ÀY¤g 6DÁøúÛ”l'67KmýÏF&¢ Ç¡iã´Ñ­PîsÀ+H_1nA¼¦Ýi·'\n ½aÇ.–€÷¾gÇ.æ÷‘Všm+Êì‹fýP¶á"||‚´þ¨ñ ƒÃøØŒõéþCt%ªîzí`àûÆ«ó][Ú„#í÷v­:à\TÚ LF–bÂQ.Řa!Û0h“Ë.Á†péƒæ•2ì¢. á`Ì9üÕÖx‡²ŸmS(xŽy »„5ì ‡]ã´î¤À¬Æ_Šc®c1Fåçpyß«Ôv‚aQ¤a•µ‚ö*l'¼*ÚÙÚ=#|Š´þ°ëëž$A»äé·Ó¨t„#‘YµT2cÈö&Ò7í»!eK@<¶iÀgº˜Wk tY¶´ð¬À¬4ß¬Ò ŒXÑq›Š[Ý9æÇ;£²•+(5…#¢cb$0Ë¢Å|ºGAGÈ¢æLÖûÏ£’ g‘69óIñ~* ôÿáÌ;R¶ÝŽ²¿(`L‘Ð ¡àsõ~áæT†ÞŠïí(°+§ž2Ö,Q ÐÝur«¿9ð; /êlÉõ7“­Ö ÈŠðÒ´«u‰…=ŒEEñ[[µf—Áx+ ITØ“MŠ(ŸU#ÀŸ²½ŽôuûÞGÙßms(xŽy5—÷%'ËF`¬\–íªˆPxéÓ*Ä×`ç£ØÍn{÷€ÜÞgû®ïãÿ°ó—­K¢8 ¼ôíêò2êﲑºL[_;®Òæ¥"ð}¤•Nʤ´9)Kk—a8„ÂÒX¶)Kk”ÝÐÜÚÇõrt…ŠÕš•úAÕÃy¼Ýk¥G>T/³ÀM¤7µ™Þb©uä:D0Û.…÷¼î~™}åy²ö-œÎO aš§}¥ûÀGH?ÊÞ¾)»2pi¥ê“³oÊnøiý“@Ò}(eÿD@<š4Þgý—Õ%‰ÍÃ8 …¹~Ö#,êÆ-Ÿr)µvzÕBÙŸ¡·ŸxÕí´ò>…Ò^pL«¤‹€²?& Å–*>x‘¦sÕ‰%ñh–ÊSÄè¤ó‡Ì%‰¨½šz·´óX·»^n ïu´Ê¾C]&H§(¾ÁY¬õÙ²/ß] Ba«ÛpoÍ~3èlö~—€KH›œæ¥tI”Ý ð:ÒJÓ<¹.éÌšðÒúÓºãBWÖV‰ÂMàm¤ó˜,Â( ³›œ ÔÝV°P"VÎ!=—½…Rv 0ËÌÚB)»1 0AÐ4‹+á`%šÍv÷ƒ¶¬µ5j+©!vÕÇàH`¬`μªz~¥]ÛOQQ¿ åKR9uÝKðŽz]÷I]:Ô„NˆG³Tž„‘ãƒ.zè¼ms´CŸ¯}Ö:ån Y¯ZV´kz¨²"l2<ñ˜SàŽ×®xû]]1²zŠ+Bé EM‚R 5P%úÅ[º-Ëÿ&8š»õ𑲒×ãý–îQowù‡Q¾ºëÓ¤¿ôÆkKŸª&É¢¤±&÷{Œí»M¯^fÏëA4ÃÚõÃR8ø#£ñö÷ë‡ÌeÕÚÎN`eÍÔûìiÄ…èdIÁ#‰  5›¡ÀXø.áÓêºé*ì´ƒâ–(,~„ •)’¿Ê¸¤›M@¯[¾•ôàåi$oƒ!oy¯këO½ÂÌ9¥E£ÜøåùœÚyÊþ˜€zí<ýëÄáûóî$?ºé>|iõ»…ñËÒÅE4fÄc}P» ‹Yu4µáµïãg]ƒnĦÞñÀ)g‡ŸöÊöÞ÷ï~OŸü‡Ø[+ßû>ó´Òj6½0|è‡Ñwþxîp§ ¼…F&é÷m5Ó}ÁšU¯Mz;U?&²)¬Ê/S€°Z¨ÊÒûF]AŸ¾ÝªWWRcrüHÿBûu”î>¿'`¬— Áã/hÑá7|8ÆÆÉŠ¥"ß>ñŸãNbû$Y,Nª­§,£O"}Rß8TJaÀ]gÉRèÛ¡ ãùÈ6ÌÄ¥LØ‚“\ëCÙ€ [¶Ü•²?/`lQÞšˆ—Èsðãð‰ãùúÇqøG³þq" Þ'ë ÇáÇ#‡³vãpŠãNïâ°¾eJ;e?+`l€kÍAxëcm9ïKOäë |/£Y9E{Z-•u‘p‹Α[%Y»È ¸¡p.Ò¶‹ÐsQÀØùYk."\&ÍÃE·ÈÓENÂ-8šu‘q¿ö[i÷8 — œFz:{÷8 — |i¥‘~”•ñzûS¡9v+¥oòóžÓ;ý >Ó* Œ#C0þòÅW_§ü…äP…«(š²!sê eF@åp7ô­xÔÄöâGË8 ŒxÍ»Éö2£46z…uvÃ1fC’ËžÓ£ÒImÒÖ`;O±¡öEåÀNÅm Êo;%v¸ÕØßí d„§þ‚]¯£jÍmEÈ—âòæhfÍÿú~W:,Œ~ 4uwx¢”¦*l7u·*ô¯),Ĩ 47‚ß1¤´I®¦“ô½ï–××Jì ¸n=P(ØàI(¬â[·Ea#Ô -Î/±ŸÒ7AT¾{©P^oOðUñ0©&Çû#øKW×ûîÀ­+49@—Ÿ‚†™jR¿'C}§^ÛW`¾ ¶›ŽÉMg©BßoÕ•¤„ƒ  ]Þ·„}ëÃ%öu‹bãï×ÝÃÞ¡œÝ¬5…"}Ëè(]ép›'õ%„ó¥I±ô_â ~Kí‚‹›¼á!iv[`D˜ }§î_Á€ä»h<²¿[ !Ds‹N¢’ †'o|ö×ÌmÈ©P–ýKÞHŸ!oŽfŒôÓ(òuXµ$×Ö=G²ü[Ò£y|¿D%·Å*Ëk¥µÒzi}%ñ5ðÁ:}¤Ð§~ú„Ÿ"ý©ö«¬ l²Ê¿ ¸÷^WžösP%\CzMuFÔ—í@žÝÇF+_zšCÙPošsZ—Î'N´cÊÑÌ)Cù•=Á†3<²¬~¦žx‘VŠ ²À•rb™²+çž3˜mʺe7äw‹”J)ýóáñµ7^; ½vâ©Á¨UÄeà]¤ïæ`°ŸÁH?ËÔ`5ÎØ+ý̱zÆþ3XégŽÕ3öŸÁJ?sLž±_-6mV½«Á$8ÇùõÖ¾ôñPâv¸étïnjr<ÇèªJï|kIÖ’?‡õ&œ’2dÉgBKö½]ºÀ§Àp¸‚ôJö¦LÙ]ÞFZé:œ)SvÓÀ;HßÑ6“3¡)»áíVYÃ%&%àHë/&¾OM¯tîþ~»åÊÑÿÌ•Ðüu[ZH÷ܺßJ7QnßwrMRöÇTMjÑxà¨\‰ß,Gõäç¨äIßIŽÊ,Ò@)ª÷~S#!Á´ŠA‹êÒBÛî˜=“lZ‹ê¹j¡Geõ§)F5ÝC^w,¹9š×.âQ aØÌ©Ùã{ÏÓH+•Ob®£©Q%ô?¶ê…²Ÿ0vþ@³^–F+±¨jÂ¥UÀA% ›L.Ò©5wË’¬ÇPQ„w‘¾k°ÒFQ©ZCzÍ~¥QöëâQ¬´‘¯ù¨ªT) dlg L•4cñDq‚ «"ã'$KųI*Q©*z›àæ[n7ºUÒoÀÕØŠæè ”Ô²Äóu¤ ]r˜ZVÊ1&[.9䓤Kj«e…Ó6cLJKŸ ’d±}åQý5Å– §§¬Ttú[F'g[±…O[kWQ±EJPlQA$ƒ”Wl!B3ÀY§O±E³EJ]ú¡ì& Š-ÚÙ¦,ýœŽL0ÄÅE›PQl!sÀÅC¡®ØB¼V€NŸbK–v±¼çô)¶dióÀûNŸb‹j[¡¦ØB$[Ô‡]¶[D2s£.Š-|Špi¥‰\Šy¥Ükà×gé焨¥¶†_„³â±McÏÑÌ`T~ØUDÞ„Ù »T[„qV’Fƒä˜ëXŒQ¶Š-EáIPlQ¬ÝL[¦Pé„ Š-YµT"cøòM¤oÚwCúÎ-cŠ-¶h;¢¹¶ÓÈ{ÚÉ´5PPl!F§'?i¶5ÈT±eÚé^UKRlQ¬\3Š-âBû,Ò&g>)ÞOE1æô-ÆÅ™žÛa¥‹±§¶hƒ°\½_”ïÉÎûU[„Ëûá÷ j2Pl9¬[«5ÅÁñ“[²jø$€²½ŽôuûÞGÙß0¦Øb‹†(—”g# Ê÷d×÷4¨€g>}{É ;uìÅŽJYM§‘žV.«¾2 ÷{Ò¼*mw…¸Ìç‘žWá$·x$v£ H/h›ïE¶¢Œæ6+%ÖöAë'Ž’X]>Dú¡‰ùX£æ‡‘=¡G®Š»Á,­Ý¤½jÆämj>G¨5KŽ»ðõ—ßH›Q)ï"}7{“¢ìn×^Ó®´ æ×êAÇ.¿$I<Ö‘~¬ÍgŽq£Ž“ìPþŒåÒQ#ʺ'—ÂÉý¤Sü¶ºOÊú²€xlÓ5²òìÅE-£ìzqÝ5"T&è®iî¤Õ]#Š“ÀÛNŸîšµºnh¨Ë´]2%]*¢TtzJDEGñhZJ›“²A6Ã!œqú‚fÕ!QvcNOyÈÌFºkÄp¸éôé®)2ÍHwm6M˜ »–§}%#Aw-+û¦ìÊÀM§Ow-+û¦ì–>Ý5[}(eÿDÀ˜îš" ºkWaœ„ZqåFXÔÿŒ!Û¤ÕÞjU e^ÀXˆWÍ·¬»V@i3Çä°Jº(ûcâQl©´Å[®9=QªI§OwM±T6CñœÃŽÔׂÞÉ¥Sho¼fÖD1ª@J–þ"*’piýNêΦ 'ioEïr+˜Ý“,MaETe³> ¢Ee8 ,òrrGbÉ"PfÝaRvàÒJ«Or¦°j6‹h¥5Mc>Uyl¯õ6T; 7#˜ÛhÈ;QcÀ§NWáP“â#U¤ÈBh¡KGµi é)cõ5L Œ{ñM'×Þ„²?& ^oBÿ:ñô£²D Å'€ï;}1YÝDgV@<ÖÛaQá([îAÙψǺ{à…|Ü£—à VNîÁ ‚£áñ•¿çÊëœÞu[‹ã«‚ðä8¾B¯ÕżÆWC"àdíâÒeŽþ1Ÿàh¸ûPÑäQx0K݇t(ÇŸP¹ûHÌuÝA7H}}_«(ûcâ1TòºƒË(š'º =昈Ø%],”ýYñÈÓ oÑä‡Go'ÛËhŒÒØèÖmØ Ç˜ I•Nj“vöÌ1¦;¨hC‹GtI燴]Be¥Û{{¨ Aõ$ ‘^Ô&zn_Wúp\VÄxöªgÁc¼ÂAÊS-ƒ¡pˆ,«ö"•Ç]äÍṈ̃›¹%ö¼ZíŸ'¯Š·N„sHÏió[êV)¢“’KD«<¤ÎtXWpŠu°#Ôº°­Y£È›£™^b?qÛ‡lß%}« Èä«òÈN#=­MìQ¼*÷Œ›\~[«vö‚ÏË*Z–÷A× Â´Òµƒ£{%èïyµÝ½Ž*ÿàL¸‰ôföùys4cŸ3Kìß‹ÔìX­éw<75.çHœBüMjw#‰½^Û ~öÆáan®DTßšs3¬+u×÷³`-˜ AÖ[#±®,/n·ÞÑ7K½WГàÜBzËÞ;tcQwßFáDùN­wHÌv .ÜÍÅ7s:òKÙPopF—U„€±kÖŽÔ~ˆùÐI\ù2¶7°VàW&œÏÈêVeWÎ9}ç3²ºÕ@ÙÍÝè¿Þj{»u·]bÍ®ÐCÁHZ£è]>AZÿš ¼ñ>ƒÁ>ËÔx#e34¾ ‹ÀKH+U¨œù>ƒÉ>CåÅ ræû &KȯNª•{5R6kFÞº‡t¦Þj}¶–¾–CäæOÖ7Þr¸ÒjVÃѼ['YëN»¶}ŽóÊ.{ã¶kîvÝ“v¸`܄š‚u‡{Ž¼ŸgêpšážÃÏž;V/Â=‡Ÿ.8Ö.Â=‡Ÿ^Eúª¶i\}ŽêÈz|…HÜDŠ"ýP›Ü<ëÝ‹nœFMµÓÒñ©>†ì ÷a¨ÚI òqø'N®cÊþ˜€êc-Ÿ¢8*—Fâ·K r­_G%OúÆHƒ¦Ôî”4 á_$3<‚Â`Ñéžwãe䘽ÑfZað™j™Quüã¹7‚¾àTy%®ZòqìÔt £&N-?88…´Ré$æ:šº`ÂF–­Z¡ì§Äc¨VV>‰®”²Ö¶ïµß„A½ýkµ«á tû½‹B•%ióó–„kH¯¬µQä…Ý ÛµFÙoˆG±ÖÆ´ü‡\úS,–§$¯(.˜ è'ý â 1¾ZùTûH¬ïˆ¸  9¨$âÇ[RB†43høÃDüøh 6B³eøüÇØxUÒðgtéŸ0&â§X*ÆøJ ý…¤Ö\Qį <ÅÊ“³-âG¿›&ˆø)Ö®¢ˆŸxJ5AÄO¡£NŒ,*/â'žSœuúDü4[¤ÔÊn˜ â§í€Ã¡ü˜l‚ˆŸ¢M¨ˆøƒ9`‚ˆŸ!ƒPñ#^+À §OÄ/K»XÞsúDü²´‹yà}§OÄOµ­Pñ#€ "~Šd,Šø‰Š¥ "~Š/`BÄO”L8?¢m^C.ÑP¶ !pm ¿(ûYñئÁÛ8šŒÊ»&‘7avÃ.¿IØ̤“(Û%9æ:ßïÊTÄ8 "~Šµ›‰ˆ_•N˜ ‘Uk@%3†lo"}Ó¾Rö·Œ‰øÙ¢1…‚ç˜Wk .nfØ(ˆø£Ð|k©ˆß9Øa‚ˆŸbåšñ›F%Î"mræ“âýTcÈ6AÄÏ–ÛQöŒ‰øÙ¢!ÏÕû…Á`†Þ¯*â'\ó ¿_pw9l‰øÍ +Â?ÅjÍ@ÄOoL¸’U#@å‚I@’ˆŸ-ï£ìoñ³ECh}smD1Áìù"T&Èÿh®Á•ÿó’ä¬ÕåAFCëkJò(ÂY褸Y-­‰: q#²ZZãJg„æÖ>²ÿ!†³ÀM§OþG‘iFò?s°iÂùŸ<í›(Ý&Èÿdeß”]¸éôÉÿdeߔݲÓÓ7ŒÉÿØêC)û'Æäiÿ¹ã$FûY°øÔŠ²å£-¥ÖN¯Z(ûóÆ¢äh¾ý`ùX-EUÑVPöÇÄ£>ªÒ£#êN:}ò?Š¥RbläÃR²Œ…£Íb`C64Löƒkb.äkE °ŽÚVdXöãªmØ]ue?$ùëјÐÌVü0œÁb˜£9 (û1ôøèH¢E'ë#Òÿ$ú1|<5ä¼sYÍrsýà[ ?GúçÚ¯cZôC‚ùßU]: Ø]¯{ÍÝÎ^‰Iª€‹>jq< W‘^ÕæìF—<Ê;Î~9*ß­¨ÌÆÑÏ¿\ÿUPä¡ùl1×//éµk•e ¥ä/Ó+¯¿,o+øý› ­hµñ é÷ŽÙ9.Ò®ö{Žÿ••edO(ìaeÕæ§òXAÞÍyxD¥} ¢¼ÛŠÌôp+ªÐÛ Ìa ®'_ˆ·A˜ð!ÒµÉOuõÂÀ7ò´xÐí;ÝpdÜZÝŠ2æêÖœðˆÐÔ$ (ò[:vªRKX+¯—Ø=£½ò„#ýqF{ys4c´,DS¬ŽÞy¤N‹íÔÞyÕè8©4MQf†!Í´i.­÷®‡ÆYb°uùÚzfqØc½vEésµkDGÔ—ÑŠjr„Úf¤r ºø‹†ä[áL|Eš'[‹TõšJ3BÚz?FÞÍTñ,UqxÎuj Š¼ÓfŒÒäD˜Y¤gµÉ•!}äv¼Ûoí£†½J«ÙjfÍ ¡“‚ß+’þ@†t0¯mín-*°ßã­£î¯ÉþËdöþÁ¶ïu–…— o°i^ûiZ^ÜX[{¸º¾º¾H“Z­jù/Cø%Ò_j¿Øó¡ÕB½ÀÖAÓk_<¼~Eë=ž;ás¤ŸçÐp|„¼9šG}VvÛíÖÛž´ \šE5ñ›àç0’WPŒÒä…‚38 ¾¾Þj|¶Û®U?ŽXƯ’ISFw§'w+Ârƒ`­á¢C0h‰ ú0ÔûÛWŸr‘Ba‚¥Éúr0‘K•G?"#X¬»~gQšá§`EÈo‹]Öf8Y¯m·Ýöá2Ù€|±ñÈþ„“HOj“ºZ9:? ‹p+r£e…Êi»WµY¾Ä2˜1ÕÃÁôƒóè:ÃéËuö‚®ŽvûéÇJ½åÓ¤Pþ}„™ óé94©ßGÞÍ4©ŸD­R4ÿ û׸V 54¤eÀ§jÁ§á ÍǨµšÒo"”¢Øh¾É¹¥`Z¶yÚ7Qºï¤jÙfeß”]ÙIÕ²Íʾ)»Z¶¶úPÊ~€–­"ìµl³a ѲµU-”ýy'UËVóíµ´lmÁ-[ùQ•!Z¶ê'^$ÎLÉrî2êxIÌUSÍÖ–-Àv8jÛ‘]5[I~ãºÅE4fT5[kq‹aŽæ@| šíh‡IG’´Íþèô?IÚV 9½¦f¾¹JÚòå_#ýkí×1-i+Aƒœðº.È.¤IÚ*–ŠqI[ÉbqdǪã(ÂÙUãP)…g%K!mJiZÒvtZ‰¹ªKÚjf¬*ik«© ì/ ˆÇºoŠ‡½sðMÊvÌI•´µå›”ýI[C¾9~ØpeÝ“qUÛKH+Ù‰¬{R†Eàe¤/Ëx$UÛ+H_Ñ7Y÷¤ìçÄcÝ=ùà&6º°åž|A˜£{ò厙¹g­©Àì‚Ó[Œ²æžôÞ%÷¤§àô.rrO¾jÃ1/÷"ª›µ{ÕµåžCDuÜóÈÛ+‰N‹šº »€Yù‡¨©›° hË?¸¤/Çغ¸5ÿ¢©›µ ÑÔµåC4u5ýCQtZTÔqúD§³rQ8õ¼Ó':mËA¸Ž0ÇØò­5)À) ù8HNÁ›¬œ„G³¢,:]pzw2g>Ñé¬\¤ < ¢Ó¶\„~'j‰aµæ"âÝÎ\D\@ÍÑEÄ«•æ]DItz.A8íô‰Ngå°Il†i¥‘ž{ˆ7{gœ>ÑiÍ·EtšßTßeÐ*Êþ˜€x €žètéb­}ôkøG<ò4è[6D§Gc”ÆF¯°a7c6$¹©~T:ª¢ÓŠ6ôl‰}Ï£­óŽÞ¬yÌžÛôÃp}á^©Û®2¯ÝnµC½‡è—t0l¿]«(èr]G>Cú™ö[\ˆ"‡‡ãCQ€jå@>Š¸p0I¾@õhµÑªRñzc9,6ö×Ä‚OÕšÛh5«¾ž’´ÞAPñ·PócÑ僶šµï¼eN÷zðÙJ)0¯Z«t–éK±¶XÒ? þ•ïm}ýå7Ÿ­ü²²¼¸Së,–}¯L‰•_é Mÿ Ò“]ã:’Ê´¹ÃR—#™°Ð^‚‚ÑPÉ—Ô X&©7!?¥¸(.ÛvÛ¬²ç¶–o½ðÔD¥ÕØw)äÒIÕ,ß: c²ôp # Q›kBn.1÷ Ó¢«•0þŒ÷®ã5é2t§Õ=g¾&MV”§üU·EI5 .T…‚Bœ(bm®E‘w¥UäÍÑŒ+=ZbŸÖüýºT®ß©Uí%wtµ&#Ù„ÖÏÞº‡òZeBAmT“þ5ß”×¢Êå¹Hó¼ n„×¾¦Ís“1Ú­ Zÿ€[eQÓ^b´Ã¼EÝé~ÔÕŸûiþkàL¸‰ô¦6ÿÙ œïÄ£ØÉ“[!ÂY¤gµÉ]è‘ ï@ª²Û#Bs#ÖcºRÐ -¿­U;{ªêB¤¼$õe}š•vË÷µiÞµûFiÊ·›7G3íæíHY³Òjµ«¯wêµýPS;Ä #6¡‡Ì}§0x’„B¿®IøF¢õ^AÁeDIkó1CFR’áINçð)ûcêM‰§uéP“?!`ì ©µsîQ#ÄU`CòÎiV( G2²º˜GÙœ^Øþ‚£ê.%Û”eXÊn 8ô¼¶aL>ŽÆ‡4ÍñŸÈ+qYÞAúNÆ* £gg¬ÅØEd8´RÊ™ë˜èÔO!¬Íõ L”ð*ÒWµMãüc}0›©SÚè>š¬Õ%䃛ûÚÔîP´å¶[ÛÝë„·âJQ`ÕÐ\hòEÊF­Z­{Ònö&ýÔITÕ³æf[È{+S7;{d «@±´Ø'lÁ±-ö [p,Bs}ÂÜc¶^# ×¾B+Ž WÖn‰Öð!Òõ':ìˆ÷\۵߶šÜF}"kÕÂ’ ™£3ÏdÕg(&Ùkÿ ÑpÛ‡ W¶€²»ÜDZi%BΨ)»kÀÇHëG 8&}Çò|Š´~äÇkìˆÖxÐ+óºÝƒÃpîÀ—7ßg0ÙgŽîz× óÔÇüF«%-úHÄÊÀGNw1kë¥ì–›H[°^Ênøé<¬÷,ö™Që½ШÍm­y@kÉnÓ­·¤C*C%BªœAòg|Iõ90§UÊþ˜€xlÓø%ÀQ¹4¿5Xþìäç¨äIßIþÌ ×@ ´s) ç©ð5Üý´šAýléÉ^)9f¯ð›V?ûPµÔ)~ÔŸ¤îY±‡¼×-9ù{ÝïEˆG†I§_S(:Ýóñò¬sMñL(Û•BÙŸ¡JYøq«~¸K²Ð;íVƒ¹,ø'^ÛkV¼0B›$W~¥ƒðÒ7 VÕ("g ç lUeKÀXdqɪÓÞØ@±XV!rØÇ@y32 =3á „&ç+)gÚbfGú¹ö{,.…Ú‰îvÝ#o£Z!ê´v=zCi¢‚0X·ùXÌ®-IËÓÜÙ‡'µj(·»ãV:­öreyq½¼¾Xb‹¬—7¢Ÿ6¢ŸîE?Ý[TLõ=Í]¾3®ï©zônsT»Xš\„g‘žÕ&w†>ʶ‚ÿóõ„:…˜`š”Vp•ô7—ï•Ø½òz÷ÿ6ÂÔú=Ä5p$šM¾ÇôD8¦kÖ ~ys4cðsÝþL×æïáÒsÚü.ÃæÛÞþ2Ù}Ôm±û+ò.p¬´«~ÎØ»Ðü{ì~Œ£ý°ü¯|ïȇåð;ôãüH_‘~Q§ós¤?×~™ŒÔK2 Yߣ?ÀáWÖÊÃ_(TÄCð}xô=4¹ÂØaX«¿¨Ä[=è}ÖHX âÈ¿‰(èù ÒŸh¿É}KßF·IÝ(?ÂQ ¶ºòíš *-z†ýv™æÙÀŠœæØgÛÆP›‹ÊRÜoRގΰ„úJì;Hö¦ìŽô[ˆâŒÏ~f¢öÞíÓ×õZ£Öñ…i4CQ_Ï\3|ýH9G²æ´”gøÑŠJanáu¤¯kS]cÛÀ‡ J¸ætÇQ@6 Xæº |zýqÙ€07hËé6´l‡Á‡ËAg{OÞ >EBauÄz' tâ;sKìc¯ÓñÚ\Nš—°â%Æ¿Ñ»VÚµFßt—nëÓŒ®Óª·Þzíåvë-IîøËß|õ¼ÝöüŽ¿Øhïé—–¼ Ž]çëµí¶Û>\Xí¹ûÞÆ [Šî˜yõÔpÞ©^âE3MŽ,*ð•8ÑZŽ~.E“œuù¢ü¨2¤™6ÍóµîÑujš‚ g)ÍíûàC(ÄBÑ]Œ4H<ŸÚΰƒ¦“¬wy1ü|Q¾_€á"Ò‹ÚDÿ>hâ£þˆWò‘†>$»Ò7 DõÃvÕkw»‚ÞÓ?8Ú¿;òûë¼΄ÄÝŽ|±üEAø÷Hÿ½v±\a¬îú×aÉÐÛ„ËíáûËSü3Ð"ÔR‘9Bñ¿Çj®!UuÑPÃdÍÿpÇ­x×oÛAV쯻Ëãòö…Døß‘þïú³¾¿’&òCdN¨5ëK̶ðŠË¾&d}ÙýÈ1ÙÇKïþoÎñ˜j èÑø%ÀQ¹4¿5X”òÇÈÏQÉ“¾1’(¥yÄr”ï§C)D{£nºŠïz”E§{¸‘cö¡i=ÊgªN%õ§)H9ÕC^‰÷,98¦ ]Ä£@è‰SsÇO‰N!­T:‰¹Ž¦H™0“²U+”ý´€x ÕÊÍO¢{¼¬µí{í7n´ÃSk²V»¶[k’Þ/%9󓵄«H¯¬²Q”)…­UÛUFÙßb•×^«rÍR±XžbeŠ\z°4e¿¤–P¥°.¬ù «$TÙ ’qT¬’ÎN{MÅ/nt: œy›;… Éù!q&r¿iÕBÎíÖA³ ÂÁl¡M+2ë%ÖtËíFüüù˯>“'/^_¶á4É_ òn»ÝzÛ5%QPñö€0ÓX3L´à$Žm50á€YÀØŒ@²ùôà ±gŒ‰‚*–Šq)FÉb¡¿¨_–A\ÁéI2œ##õÑÉ%’ºþ2 Ũ½ò;‡u-‡­B‰QÓ4À߸moEñ4ðÒŒ9Yê½QÅñ!Òú-´QSöˆÇ6 Q–Ñ\‹c\âÌoâ›»p é)cÎu#t®°¿=ê]aw8IÈz×Y§'ÉõÒJö%ç]gáQ„~d߬ 7Äc›Æ$,™c^ÞUDÞÅL½«Ð"*ÐCN… ŽâT81ò÷Íн¢¡k¸àÍ–›m¯ÍvCh:§î6Ud—øí÷M¤õ-lœ±uYOŸB… q²ötzñ1|Y'bÛŦbˆÇ6 qa+OOŸFÞÓN–ž~<œc)P+8=±Lt¨†¼|éy8íãZáJS‰¹~W~[Z hß#Ü@zC»N'{¶Û®U?V)DQTFè]²vv*‚1§gÌQœ]èyÙûøG<¶iÌ à9æå좰Kvή(¨(Äh10!µ(¨xÞé)X%**Ö®¢ â,ª•0APQay>Q°A^PqÖéŠ(& *j7D)!Ð)«I`‚ ¢v¶)wãg# 1APQy´'/¨H æ€ ‚Š† B]P‘x­7œ>AÅ,íb xÏéTÌÒ.æ÷>AEÕ¶BMP‘H<&**’±(¨(jS%ÜéT|‚Š¢ˆ’Ðûg=ìâj"De[ã.Åms(xŽy »†ˆ(v©*Š*J jšS¬l‰s˜ ¨¨X»™*ŠÊK<øÇì[.øAÙÞDú¦}7¤ìo T´EC”ʳ5ågÙ(*£Ð|k© "Q.+׌ â*™P˜žeíýTcÈ6APÑ–ÛQöŒE¯³Eã* žc^ÞÏ7s²ôþSü‘»pÊÑÝ·Œ·KÔt7¹ÕßøRj⮸™Š"ÐÿŸ½Q"¹¶…Ñl‰[ @ @Q‚¢¨»é›»Ým÷Å·Æ«wJ•’Ê.U©ëÈû_ÛÿeŸ­ÿœ·XÏ´ÄopNÎÌUQY‘U—Œ´}ìoåP3GFÌ—9.7PÖ:ÐO”EƒÍ?<¬Ñ)²ÃF•D £®‰÷ŠDo¢­ %ÒEYuT/“0{ å[î£Ìßk‹¨xŽyu#´€lmºDGî4¨€æ›.'“놯vuêêpÖën°hÖÕ@EÇÓ¢*í¸qY^CùšÅ`NY2ïÃXé3^Ö¹Mþ%‘>z2%ô1øú¶«éyn®éü>ÈïQþ½ñëØ–HW AñwÔMŦÄcX+Ö%Ò«ÅS¡CJäÏtC§†äîP¬…´É÷Þiк$ uZR«cª£_Fù²5Ãc©£/ ¼à¾« óWÄã<6Åt,9Ħp1ÏØ$óCÔÑmÅæ‘­K:‹M28t›d®Ì16ÉüóŠM>³IL-\Å&ŸBæ›ô Qf׈;·÷k‡ûi‡¿Çf—ì,d'¼ž0»dgÁU|ÐsQÀÄZ›³ø!Ìžu|Œfw#„Ù ããÄN£Öè4UD”fŸóº9²Qš]¸ë:@Èü¼€‰u!g2Bš=ë!Íî*@FH³HVÒìY…ÈivW!2BšÝYˆ…|B¤€°àVN!‚£ÝÉBš=«ð(Ï…ºÌ캈ÇÒÛH³»ª2?á¥J³V€º4û*ªfÍë[Så|\mБùÓ&Ô½Õv)­H³?À¿.÷—ñ¥±1«¬uø Ç„)îNŽKg¨^êiµ/âóµ1ŸGàðȘø·ç–ØÏ‚zÐ$E)º¨LKЕíMiÒšæZQ‡µ£¦zžâÇ B8ò´1©Ž¿‰qUB^Ńƛ*É•‹ôó• ¿¾ÞV[Añ ðëôãZPßkï—XX»ÕúÞŠ†š·¨_ú1Ê¿H1Òe‚„NôR±€N’¯2]Q³T¢§ë£‡\É'Êyn¦`jÏG­+˜êžú_b/+•Á¤O©7[ÆÒ&]@yÁ˜ëo>r4šb²-…™@)C™Ó\¤¯¦èÝ9ÂE”sð»`›£¿›YbŸìûõ½€µv| ÉÄÁ„påcVŒð¶ðo#º?ÒO‹Íˆ?‰R“~³FâõW³ó&~ Ûí41[bßR^£ÞÁvƒíVß•øô¶2Ma ³º‰¦¶‹{Í ¨k~jŸX¥©ÞªŸÂ6G;­zc‰Ne¶›Z$^gØ>ôI[´4Õ‡ÏÀŒðÊ7ŒYÞ­ì&tOIŽoíÙÃdäE²ð›Aû9H ± _ßö[0±ªìƳªw!a ’¢rèu”¯“|?")F zǵUuŠ¢€¨DÝQ“âƒtŠ}ò0±‹™šè”˜ŒbÍuc¢„Û¡3ýO{ê½”(òi¯—š[b߇5úS”‘ªZoµ?5eéXršFùéú=4"•ø\ŠÅ—¶ð9En°µH~ Ñ°¿Ó_ZõPõ†ý ¶9ÚiØKÔ°tÈ4ØiÔH—–zŠ4•Ý×`Dh$FÔÇns‰ý¼ñ–U[¬SÂv>ŠR·øa¤†ƒcƒ®,´ü7ô}Å¢U“fP£<Ú*óÿ8 _¨†üïǾÉÉ?8l–ØaÈ8h¶á¢¼Þ5”Á ž„ CÎÏ8†Ö7 M(|Ž¾À¯u_ Äh”Øò[åzç hVwŠ•HºXù½¾Å»|ÛßHλŒï`›£.ãY7(£kìgÜ'ÿJ=*¿éï­:ˆ4*;á‚ŠyTþ<“}T¦p6ŒÊß‚ôo­Vú í`÷”_áw MhO)ñ1{¤Ì\ňò~8* ¼×â…çð‹wk±T´Èÿ„ …µsCòƒäé®lùíZ'Ðð?€/¡°ñä;?€öV}çST;x7ÄujþvPÛZ\Û|üd1Ù¯òô …Õ Ó«W‘9^e}uuðU”_ä O˜çÇÕ¿Á6Gkj÷C5%g2”’¸a‹†U?úb-+¿À Mh¯o_]ŠR)rµÕï¢ìÃÃfЊï²!o;à﩯Tþ7P%\EyÕ˜öìÀ¢–21dgQž5&vš±xymC]³v,-PCFW;ZãKóë%ö°Ä•ØW/WÔ î€á”ÍóJÁõˆàW/†+ U±Nð¡PƒDS“`RU‚ !ÁGM¼¡ñù³ N„ (/ó['´€»ÖÕÖ¦e]ê;#Þ‹ÑÜf±´H}ã¢ñ=%\GyÝ&ñõŒˆïƒì~VÄfD¼ ²Õ¬ˆ?ʈøŸ@öOV‰«ÏHþ ÛíÌH–¢­FZH7¥è6{ÓÂ4î-“(3­¡Q2â>¦-±/» E ˜(rP¡?Å“%’Ùó)ëV-(±VƒUÛ”™Kù5@ð#”?²1¤L[!掠‹Òbç´ÑŒ–¥Hÿ³Î›GÌßi6Z-¼–ò ÔAšÐÞPÝs°ÍÑÒ&ù;šÒµ‚ŸŠ«åÕpœ(on–°µµ¶ª±­vj„ efL³"ÝOm‡Ôi­¯ð]ÕŸj½j«ø.üÁ:»Ëº ÿ¼×ltñß„ý™öeÛ‹áÏ'~SõWý ¯G(L‚ _µt(ۆݢÎyëï±ý ÊMÐ$䉀J98s ¶9Úqæé°Þotja‡ÐhþY™TD§Qž6&õ~÷|u?E~‡'tÅuõö뀡½Mëµ~Š}§ÇbO‹w|õy¿WÂ5”׌yßÂûFt¼3Â(ßÈ!:ÞÁ6GÛѱëWkʤŽ@äÈjtýk÷çÝz×Î¥þ‘v•SUuëü'ÿzÝ?u½B@u—Ÿïµâ†£ÇI¯.âÑ a×É©ËãIëΣ¬U=R«'^ûµª/ûbf%²“p®š…Ì‹x,5Ëû¿ŠD™Kt–€Vt}º¾ÞnM E¦<½áÊKª]m׆e©"”,$»j(.-ÉfC­G’ºØ5"ǼfµÜí;u\ l‹}õý—_vO&EP&|mG(¹7­I¸ÌÂÿµÚ~›VV«•pZm-–z ê}?V&Í{NÂ2ÊecÒ—‰4?}‰+—X¹\V_ôÓâ^Fù²Å˜ìÐéçç{N'™0ºŠI>npLLŸcò²)è“T@<†µ¢þñ=…™ò¤ߊÕÂG¦äØr½ƒ¹pÆë&T''Õ]½÷Ý~0˜Ì¨Ä:­Ž_«±F½ÕnvvÚAêuðaÄg/P~aܺ'Y|xN‘ŒpR^ì ¦ RY]Ÿov(›ΣÏÄSfLݧs„Fßcr©«ï¾ù^Ù¥ˆJ øåÙ»™[®¢¼jÜhS¬U­…»ú’$ñX>Cù™1Ÿ–’Ju*/$©‘%„Éj§šôzBÄ(»>ÉôUñ¸¦!Ü#Ëu®yg8ŠO–˪^J„ ÀÓ(ŸÖ!&ÝI½Ö‡‹&ó›{èl/;ô[”ê#ú„WmK¢8 ¼‹²ùÙõ¶¼†ö»f¥-ÓvÉŽë|9¥ Dg:« ²kpBA…0ë‰ÌMíí`Ü*³ïèËmǯ³j}§Ö©¢üÈÛýFKyɉÎ7QÞ4fz‡ñymñ¥èVÐ.EyuüÃrt'[‘ìuø4á”õÖ`­û7Qz|ŠòÓìý›Ì•›(k5Ÿš“¹"ðÊæå1”Ì?! l =€êØuÎI(,œf=ÃâW_ÈìÊZ½Y³ù‹â±ôöS¯»ƒ¶ÄvµÍ<›Ó*å* óâÑŸU™Ñ¹éÅ“Žx ke±x-´öïQ.?R†hÅYÞÂÿŽÒÑ ²[©ùqÓh/¢ ×P^³æHg^W‚ÖN³z˜¢{ùBgN®´÷áhæJwMéÐú딀‰Kïšµò"v%Á[àK»ZÔWª­Ãp\¦^Z牄EÂfkíWUß@X+‘e׃í ý6ˆ· :‰Ù®Ö;N‹’Výí©¡úµö~£³·l‡Œ®ï…ÿ™ê,ƒõ²í7èe;lÔñHE"úQÓ{f´óÉß«ÄÔw<„Ù›Å7XdqÝKH¶ÊLgÆ)µÊT*-Í8OG—þT%ß× ø¸‰²Í `ʼ“Ì­x݉_TÖšªÍ;ÉÜð9Êæ>å>°¯åøŠ÷^Œç‡V«º]­UÛÕ@}È\“ »´®kH¸cqì<Š\îÁþ=ü^ bXü­ÓÛí°ÙÙ÷›ª'UˆÐYà%”mžê÷SÌž^öº·k Ûæ Ø}ðøG{¿ÚT¾Ž@ä€OP~bLò ëÑå‰xªJŠ(§oc›äåÈÑšAt²·®¼(¤>UÊ É?gñÄpT£»¸ñ•Gq~ÍÞÆœëñÚf÷M«Ê»`÷AšÐÞ‘ä*=þjhíû‡Ýˆ31–Ø~ãmð&h*÷{e°,{Ò̳®ú½0ÍÑN¿÷8î÷¶«{{A«V]›nü…~pØl„ |À#­ú¬Ê}| £l¾õù,>…Bœ(ù3rÒ:5q´4¸ï¿ â•–ö>͇Ùnð1˜z›1¿ð…(ˤ­Éÿ)ãgü#º ½ ß)8¤>ƒ&ÆºÞ ­*ûu0&”$ÕŸÓ·¨²ƒÚ}BµÍøÛ*Ý£¬ìßôë;QßÇO—ãÎOõ x’8B{súMFK½Õr«Qëðc–Ñ!&@‰mw¢C—Ýj(ÓÊ„›(›¯„? ?IÂÉA½ú­†GIãéÃo?¨†ƒÌïȾ)ƒj¥Ró{©2”½Ä·0d~!¬øzï`«Î5>¡1[þõDÇql4ÂÔ È€wQÖÚ¸Sûz"sW€÷P¾—ý×™›–P6#'”;j²XF¹lÎCy»T˜še¸]z6rÏŸ:~8dó Jg€WQÖ:¬ æ d®öá³vP27éõR»a ÕÐ1Ži¬OƒëÀ›(ßÌÁE…™@†.:¹h%¨·ªí£õŠÇàû(Ût–} ¿|êõmógí£Oá—Oá“žã‹ïÇ'»Sbšw¢I{§ê»ÄìðÊæóà)¾¥_Rõaa2%æn°ìÃq²ÄíÆ;Ü?ÄìpåÅì=˜Ì.¡ló4}Š“¹ÓÀ[(›Ÿ¦¿}aC;7Ê_ñDé6P(›/œ¼¬…ßÅõp&û&ü*EqFóîVçàÀoV!mPïl‡ß¥ÝU æ·U_@øî´¸p~DŽ«5vâÉ8mÇ`G,þ¦¨Ö£oöÖ?¢l ·Ð¶?"ÔG<áË1ÃïTüÍÐQ½X \ÑŽJÍxNò¹ðÊò¹I ?½k¾R|½Ì^b‰²ûiLßøñý)U¿%n ÀÇ(›¯Zͳøbç¡ß¤«]X‘Rõå-øï–gxgRê×…Tf~ípŸr—­–W7VÒš9íÔ>Ñ»4Jç¡æ][pf ”Ío½M(:[ðÂ'(k­ÖK­žz3dË·às:aBæ'Ä£é¦ô_K“ë¼ìUUä÷¡O?Ä¿<å™,#3­.¢1/ ç#åGð˜<Ñ2Êï{<¥—ú4µ_!Bîüþõoô³“ÿ•xkí¿g^ì4êõ Ò\ø þœd½)]®ÐÉÈ’õ>ÖsÝWá§j%h†S*’¢™ôn£Vk¼¥ÃZÂùôb3ø©Smñ‡´ZN^·µÊÊ3“¤¿@ùƯ£•äö=ݸ À[¦th–6%`â„žf­¨÷OÇPdž* <‰òIsçЩ…!‰lk!í{æ½w´. ˆG–ÔêÉ×­v³Á³è ž^Fù²5é=™+P^pßUù+âq›b¶âb“ÌNsŒM2JÀŒbóHƒÖ%Å&œ:ŒM2Wæ›dþŠ€yÅ&ŸÙ$¦®b“O!sŒMzN h›}o-˜¨~Ðœ@LJ.±f'„’K¬®âƒž‹&®u9‹1+|ñ!ÄDžñq1ÁÑn|œˆÏcªÈIÅIxꌮ§ªÈIÅI¯/ù—ë!óó&†œ—-ຎ„«¨pïÌ)@NÉKrl·Z«©†Ç)„á¬×Íõ˜uxœBH^@YkØ2—³˜óð( $ ù„G!Á;¬œÂƒ;GËó«è`¿j|¼^2g‡ó«‚ðä8¿Â¨ÕżæW#ôU²Žqé2Çø˜BLp´<|Ð}#Õðàš2\ªÅÑð!JÚä8|ù9µ‡©ÕS‘;ve`A‚€«Òè¯ïU™Ÿ¥ 8öå«o¿Kù䧡j^‚Ó¤§™ Ë¬ZÈüµe©è·’j«Cü¥o J}ˆÿþc¹¿ŒÇ(Ye} ¿á˜ð!Å­ôÉqé¤viŸÀw8žÖö!âóԘϧàð©1ñoÙ‹û,Þ.´wü&å‚ZÅ·í;8Ü[Q—Æû ^A¸ˆò¢1Ñó‡ìž¨¨Îësp!”ì0ÛîRyü ¶9Ú9Z³°Ä^V*ƒ l©w-SùýœP^0æ·”h?ò±x%‡m±ŸÂKÃÓ^¡QÎïdH 0å‡Ø4‰þä~a5$î«Ò]§ÝhwŽj+„¿IB!a‚!á áøšµ)ß/Á‘påc¾7e|é6¾¶#üÜo¢l~yG½ú ¶9ÚéƒÎ-±Oöýú^”-©–žá:•Ö× òu÷?ˆÐÖχÅIäpáßGŒŒüã^Ó¯TƒðWk·¤c»]ë‹ê­ý+¼¡Ð«¾Îê(¯ì¾ß |ò× J¸Šòª1íÏÇ þ.ýèo‹­F­Záj½ê/ó ^€P˜8¸oa›£ˆcKì[ÒÿëZk7Ønõ]P‰¯D)ÓüÔÊÌzÇß¾ÅfPY,1¸ïCõæý íuüü͇1îÊoóùq—þ«bô+Ý7xU|¨1*üÄ ?@ùƒ|ô·°ÍÑŽÞ_b¿ñ›Q~¼xÕŸ>¯æ7ÃÂuêCÆïÀ“ð>Ê÷Ͷ"|UªþA£^Á‡Qè~è‡ÍêN ÑÖ¿Çß[uØk•DçŠùêÚƒµUuŽ/Âk(kÝ_“ãºÇÀ뫯©G ’¯AŒð:Ê×sì?Â6G;ýÉR7KÈNœR5¬² ŽEëÑèÝbÛG±œýè SkWkAWïiWùMþ ì ?Aùã7™]b•êînݨ¢®\½údgQžÍny&–Þ¶5: ÿr„ö¾E!á·÷šÁÑÆjoˆ´2j.®üB>^‚PøÐ6|¡ôBisTvO™å6˜Þ@ù†1ËGl¬€¾êW¦¾º„öîßÞeiþ²)øËZyCÝ#* Ihoõâ~Š‹o×ü? 2Ö¨ä< íÍcŠÒJ>¬Öÿ¼hæ» H(d¢5¤{gÀí,í!¡™:ƒø·êãð>ls´3ºDYÑZ Þµ›~<ܶX¥Q¿Ó'Ú¿V;B:5ºÏ Å{A½§&{ Ë —ú*UÐ'üåO_åò}ìDIªÍXJ¤Um¨Óû( j€†ô>» Ëû·?îuHßz‹‘b™N˜ýÔ ?Bù#ã×x>N¯`é j`Mh/íDVÅäÜQÔa›£Žb>ì(R¤^mL%×!Ây”çÍ2^sÁÄv`Í¥»À²±Rbü³ìUqµ¼®Ñ̇`}hÕ)Õ›ù'Øæh§™¿X‚#ÒqŒòïÖ“BQ:§m’¨4QòÛÝfã  ¢Êo©IfRߨ‰· 6‘ ßèåR”W†šã´—(§ÝiB6¸±»KŸ›!íè4RgEÏ¥ü-p'|‰òKã÷ø,öæuú¨ëª³w¿ëB×éVwƒZ+(6;õênñáú {ÁB'/±¯^ênÈ·ÁŸPØœ7ý@¶Fº®Î²f„ö>îeYêsuÎoÀ“ÐÞ¤]½y Ûíô#sKìûpVùSœ´¹Þj~j²ôTjï@‡på9cjׇ5«z;¡½uºGcî"ˆSeê]B{çkŠ ê¼ÿ;¸®¡¼¦Ã[j¶ð:üü ljV[bš®üoV£E=jÉþ„€x¬UAðÎ?8¬²ô>|éôßÝTAÚ™¿Ç[sÔ® ™ª2ÿáÅgx9&ÒS8KŸóW´È_Q%ïUË{^Jú첧÷Æo(¹ŒUª92W.x—±³JFæ&WP¾bì×cÙQ•¡d3~/½£rÞjâvøeóýö‰‰é¨gšûßáÀ„Q¾hÝ™ tªˆØ"°„²Vîq5o&sï5wTóf27,£\6ö”ÓäÍqí«º.yÜô dÂ’ DØd ‰…S”ÎNÀŠÕZe¥OóC•ìÿ&4Z’Z¥“ûå©M›ÈÚÿéå:b“ù õGl#ÿj€£vmHK~©„ÿc“~#yw‚~v6ù_}¤–¿íÁ_Ð[õ)ó7˜¦wšþÝÿÖ}ƒG”XïBJg:Óû‡štœ3­q~óÙ7K*Š^‹gB¸èuï¾óŠòì&×{ù¿¾|ú×îÏ»µ¯\ï3£Šê«[ûÿ8YùH¶+¥)ù#Yê}â(ÜÉì%i‡hdàîÔò|ó(kÕ‘Ôê‰×~­ê˾á„/±r\· ™¿, Kmó³—õøTÑ¿Žã‡Í ÔIãjûˆù,ÉÛ‘–j8Ç J\k,^÷ÆVçAµR©eÅ—âI"¿Bù+‹mÚ®¶k²xã÷9 ¿Fùk÷mJæ% Í65¿‹7"S¡fµ<7£È/âÒÛb_}ÿå—Ýu¯èʬÅLvP~`Ìú! ÿG9âéøtµBr{í£Å‰³F"]‰—ËeõÅ9Þç ÚiÖÜ¿Óò÷dîÏóròÙCbZçÊýyú&Ž‰I®¢ûÏ™Ò!o?#`â±f­XÏN¢X-ô/Èzü“ˆA rü™é¡:9O¶”xD.îV–ºÇkvõV»ÙÙ G&ܳ^ODaÖëÓ&ÔlÝ“LKOL°!$33ÌeM<éóEi­ ó(Û›d¥.Ò¹ià%”µæXj‹4b†Ë(ëÍ©úê–Ôl5ê}ø>Êï[wˆ©Ð!~ H=ì‰× påu7~±|ˆ²½r¨_\Jä0tûŠ2ûº^;ÒÉz²|Žòsc2Ï«A%Z·Ûè0ócaØè\#«o‚«Æ‚d”¢–óšÕŠÆbOšrÚ“žÒ|9ÖU«e•`×ïÔÚ-ÕÏ3`C(Ù47v¯ù¿ÈìE”/Wˆò|‡ÌÏ ˆÇ5 ¾BÇÑÎdT}Ú5 Û„ÙM»ŽÑ§Ž³ð ÊZSÌú•_"ä#iùÝpÚ…K‚ì>k„ýUÔOôª­Kœg€‚t–aëÞ§]~½Mú¥À¼7˜A£ÞFùvö½ÕÌ$Ì.£¼ì> Éüñ¸¦qÏ1¯Þà˜gñúÝrŽ¨FÝ™jôÏ¢‘ –àÕ¢Ÿªbf/¡œÃê2™¿, þê² ÄHóŠ~a2˜aôŸâk‰ì Às(Ÿ³Ö,QÐ]åô+ê´ÚA<ØRèïªkiÏÁáÊÆͺĢÁ¿æÖh1™ßv® ½€"QáàŒ,ÓUVÕ >"EÀI¯O×Uô‘ùÛâqMCè}síÄÐì:ÉrYu¨ô_£ê‚×—¢Ðp öZ,Ìê7÷:ö-vè·Záü?üUÛRXÌ‹®O{}W„µ¥p7ÑB[¦­¯×és„“²”×Y-­]†ãJR^gµ´&ˆ[\û¸UfßQŸO•¢Ë¬•@LÖôv¿¡.+L ç›(o3½Ãøµ0ZXã±á×v)ºvuà–Ù·A êß ðiBɹ<ý›(=>EùiöþMæÊÀM”µšOÍ¿É\ø ågîÇP2ÿ\@<†4.°è#ë Ñ 4UÇ®+pNBa¶Ÿõ ‹Z‘Y>ÛÒêíÌš…Ì_0‘àßðí§^wm‰m® sÕ³9­R®2?! Ížjì3/ith³mZ@<†µòœ1ÝUª/p MIhowåæqر´Õ³?þý/mõÑs¿§¸Ÿêùo®Úê| äG”4~ÛÚê 4( šÒáÂD—W5kź¶ºbµxªêc¨B‰F“®sèÔÂËŠµöÝk[[}|ZR«úÚꆆuµÕ]udþŠ€xœÇ¦x"=‡Ø$³“^ª¶º«Ø$óC´ÕmÅæ‘­!ÚêÙÅ&œñRµÕ³ŠM2WðRµÕ]Å&™¿"`^±Ég6‰©…«ØäSÂc“/qÌ&6øªC'_­ãËe—týD5<é™ñz‹T31fžô¼Þ²EÁë;ùí*<ùRG<ÎÃs„´{Öá9BÚÝUxŽv·žÕº³K@§á) Ë; OQX>Çð$ó×Ì+ ˆ‰B>ñQ@Lð+§øàÁÑn|œˆÓ"ªHÁëÝXCYËSÕ¤ <{è:@èïæLì­8 ñæk"®Üæ âÅSûrl·Z«©†Ç”7TZ>«ð˜ò†JË» ñÞóœ7 -ï,<Ä»’9„‡ âžgxœFHp´§èÐEûèPyÇõ4‚pe­>T-D„#¾âÑ_×!Bæ/ ˜¸"â,DÄK»9„È„Å™|CDLT’Á'H$ó¡g„?A„Kpy~‚ðÛÜóú9‹˜8›O|œELœÍ7>Î"&8Zža Éæœg„gXg„9ΰçÔžaI­žŠÜ±Û('6øÅ~³$F@æ'Äc©Ž}ùêÛïRþyžÕ›¨šEüödŒœ«3’dþ¼€xÔiÐo%S¾ñ—V|öLˆá¿çµ¦±1«¬%ø Ç„©(5LH—O ˆÇЇ—¢+0ÑùHš«GÇ#£›\jA™¨ÏA¦Æjxy¨Ä-˜[6q's×Y†»p4só¦tè’Ò”€‰ctÎÎú ¢š^ <ùrÐl6šÛ~Sƒâ P²ó•Õ*2WJv¾²º@Eæ&×P¾fìçãm“¶Žª¿ëÀ2Êåüu>º’©¿N÷÷½g€ï£lÓsRvNºÏ)èzŽšÃ®ÀIWà“^Ÿ¨•¦g\Ž6ùªõJuÇ/©ú-±º|Œòccv×(5nÓ¯îí·q…é^wlVV.¹ 7¾ëõÝfʤ Þi6Z-õ.ø®ð<îaÖMfnŸ ü${¾ O&|Š²Ö]³)™ß!çñÖýèñí»øš[_¨…¿Ó¬þ¥Qoó{zª/pÎLhïjžú˜Q‚mÂìÆŒ3”5êÇVçàÀoi0œ^AùJöñEæ À«(ÛœY¥Ä™›¾²^²Wñooô}!‘’T;R+ßëµB¿Vu^"w øÜëÞ/5$y’Q!å!â>¼–0»|ɱ¸Uë Ñhïkœ^GYk æÀdnxåÙ;0™;d(3KSž°Ã­Ö;N‹ùu¿ÖØ[Tõ\buøe{ '†‰GñÌe`NŸúd~B@ýO}#PµkCú[ÃÅ£VaÏÓ±I¿1–x”M #-©3ø×jG{éYäÆšEy¶WUžÝûöå£>Ö¯ú¨²þ9µ£$U6E;™0±¿£@ö£S÷ÇÏ+#á™^I­Ž'%ÔŒë†!óLìK6Ì¥_ÅmRb>£cgá—Ó¡ßÞ/+’䇺±x•¯[l£q„ n |Ã}‘y& Í6;)Ž®”fµ”ºBP‘Ëd§%|ðRþ;P2ö}M(W¾?BJÑ÷çLéŒPÒ¬ë7 «…}Éî;¨ñÉý©@i¶n6*P#³¬‰í«@öHº*PÆfõT 4}"(K‘™ T–~±ä¥ª@eé×¼T(ݾ"(M2?*Pš/à@ÊؽôT \M¿F¨@¹¢!žZ¶7µ®eiÚ• ”âœk"Á(W(ÍÖÍC*«Þ€jfÒKUr†d~ˆ ”+çPñóê ÎÃöy/ÓÞÀ¾ ”ao§ ”fã:QÊ*ú©*&½T(WaG懨@¹¢!ìbäýâvFvÑŸ‘ ”aà^J³YÝ«@eÕ P½à#@¦å*úF¨@¹¢!ô¾¹v#T ,uöU  ×`]ª@9kË*P–ÖײPÊjim„ TVKk#T 4"(M¦ù¨@åéßDé‘—ª••“¹²—ª••“¹!*P®ÆP2?DJ“Fö*PYÍ°F¨@¹j2?DÊðíT \UÁ(õY•*Pšµr…±”ÓQªü„kQbìXò˜qÕ”®çë3×á'}ƲšÒ /Þž»áIÕ”ù3­.¢1/ õI7ƒÇ0ÏpÒ=TMiœ¢cI)ÍzY…þ—”Òè ÔˆCÍÏôœ7W)%¾šøå×Ưc[JIµÉ-S:4ýr&r@hÖŠu)%ÅjñTg¥ÇP„’ŒYºÎ¡S CÎü*ÖBÚÇ£m)¥ñiI­êK)Ö•RrÕUù+âq›#¤”²ŽÍRJ®bs„”’­Ø<Ò 5DJ)»Ø!¥”UlŽRr›#¤”œÅ&ŸÙ$¦®b“O!sŒM¾ªÂÑ<6ûÞ^K â„×Ó2’ì&d'¼ž–‘d7ÁU|ð]LŽ‰õ5gñ1BË(ëø¡eä*>FhƇ¦„¨&4ç ˆAd ¢šD ÂU€ùyKCÎd„šPÖ2BMÈU€ŒP2 -1QLhÖHUœUxˆš1¼TكkqÄã<< ‰B>áQ@Hð+§ðàÁÑnxh‹A¼ÞÕÇyo@ "«)D ÂUˆÐ߉gG'E…ˆx…2‡W/s ñc#ˆN²û)o¨œPVá1å •râZ£Djuœd÷üºþ¿Qpý"Žx,U€z²{†ª¹éõ)Tp>®¶°Éü´€xÔiÐoYIvÿý¢Ü_Æc”ÆÆ\`BÀ„)î§/K'µK[‚?sL$»×ô¡O—Øo÷ƒ:ë´hRÜÅ.ŇÃé; '(t ×ðXûm—]šþAÐJÝŽš·ÿ=à§(jü*Ÿ-±F=ˆ2øùÕz¼ÁºÓh4+պߎSRþÎ>Ãû±"¿_ÐZ)1æ×+Ãn•Úÿ3”?3~——á»D' é%pVÓoµ;Õ(;l”î¡ÿeâ_Z)3ö²Îª©™)RßcÜ _¢üÒø=—Böͪ¿] (‰íŸãV!j7özCe¢ÂÉR™–‚í¾4•‡˜ºßÞ±¤çÕJ‹½¸Ïvýv£YÜ).®•×Klq=†µòzü§õøOã?=\\QÏü³Ö„öîīפ˜Û^MÎ#lÂʤΪuVEerbåy”çÉaaŒ²­ðÿ¥k¤R* Ù )­àPxÈj§ø°Ä–׺ÿo=*mÐÿßP÷³ûàx¿ßç ùN¨)Ã8¡äsÍ™Ã?€mŽv~¡;ž™úü*8. ¼`Ìï*|¾Éïãl‹=ZQ5°"äg‰¯3üœ±w‘û‡þúý9ÿz9þÃjøå‡}?,G¿³NÜÀéW”_f/@ø9ÊŸ¿Ì Ùlô3ŒX?¤?>Á£_Y-?ŽþB£!„ŒqÑ­Ê÷<·*?aì(jˆû1¿¸PÄ[mô~µHÔOÐpêoòì ?Aùã7yÄbgéñ[ïv©ëå§øãzÜÃF½îºz¿&T¼øî;ØÇ0N˜gû¶9Úé`Ÿ,±O:ÍfPo‡_Bo| 5Ø_3ÃͽÀ|†ûŒŸö¿‰!û5èsF‡ˆ)¾zé$ÃâöÑV8ç¬Vtæ“›àJ(tÐÎ[ÿls´Óú¿.RÍÅG”‹¼2KtH·ønë]ø¹¼u´²Âîõ'¥¿¥-°­¨®Kl¯ÙènU++õ+Ìѽ_£üëê÷ls´S¿ÒJD5œ´‚à ~-þ9`>£\:á‡ûÛFóÏ¡sv¢ì`á÷mûN+œ>´Ž(üü Ý V~‹-0'üåßb¸ï~»Ó Hû"NÐ[Š`­£V;8'@å½²úêÉ K(Lœ»Pi6?ÛZífà˜Na?!B{Ÿm·0Aì´:Åf§^Ý-n„S’Ÿ~¼Z^[јB «-âʘéÊ ¦P ªSe¢ƒ¡½•i†0=Ëuš!¬]ZŒ€§‡|¡Íá"ÒRÇaQbñ£­Å½fpôpu±Äh{,ü{ïra¹Rœs8¯Fá›Çb5~¼Ä^Ö£Œqm!—L÷&M­Qß«¶£;úáoÕüvô‡xÑ›nðwÒ/맾ÈÏ@þgýÁb>¤DcÇþ!w‡ÍF¥³°Juw7 Ù(]اŸþ)Þfi¥ÞïL%þs%4R¤f‡êÓò 7¯¬6¾òn™Ÿ Y:e:¿ðâÝ[Ž‰»IÎnO~ùÂ3íi‡ü/ÄSf_Y÷ŠhÍ/¡l3esJZ2W ÇP¬™M9]@æ& (›/Ë]‰Ò)PWçwı¨ê´Äë ð!ÊZ‰’ öK8ê—™:m,×Ö¬no+çNû®ú%rF·!ÕÜöK¸ê—h›‚góªÛ~ W%¼Š²ùZm¬7èw7@ýúÎ~£‰QêY!‰ÜûÀg(›§L)„ß ÷ýwÕTÅø4:¿„ÛþÒë;‡i©©†‰ÈýÖ¾òrÉü„€ú㱯QµkCú[ÃEä~{žŽMú±Dä¬)™i)ÈŲÈ?uüz»Ê’g ¹ ( §í<»ylKÈ}¢[ñ¼¶þ95äæzÈò¹£`'³bòÍÄÅ-Ö]º?~ME¸ NMju<9¡j\· ™Ÿ¥–)¿¬To˜Hk»Åv›ƒpvÑýi3Øk­Vøy]Väίøn ¼a±éÆÑ–öå\7™" ͦ;n¼Ø4"Ï„fµÜ‡¶÷—ìÄå„Ã4†œË¢¸'ž*.§Lš÷¨„ÂÁCÒ›DšB4¨ÓY’ÅíN»r¦Ÿü©Q87z?;¨¶›´:º¦Î_¼>»‰ò¦1ÿËÄ¿î—›!«Ï_~ùígš²}âåE!±¬µne”lÿ*Ï]u+ÑôYÀÄ÷b·bœKˆÖçΘíÓ¬õ¥QæH»5«…þÙ€©)Û'¤‰–ÉöOεlžJdû4[WS¶OÔ‹’ÈöiÌ…¤ÁÕeû¸€—ršó4'i))«Zdn(‘í36›²ª%ŠtJdû4}BG¶,%²}–B_¶x­×½Ù¾,ýb øÐíËÒ/®y²}º}…žl‘ØJdû4É8”íã«Wg=éÍ°!Û7 6„Fk)î•rå—† I˜•¤®w5ý"óóêјAÅs´3UŸvƒmÂì¦]:²}ô; D¨KqÎ51°r’¥lß9´,¡D¶O³u3‘í;F'nfÝÐ/MÂì2ÊËîÃÌß0!ÛçŠÆ,*žc^½18ËÞ@C¶OÈIAo©lŸGN&Û§Ù¸vdû„ñ_vØ4«è§ª€†„L¶ÏUØ‘ùË&’±¸¢!îÜäý‚dýº²}Ī<ç ÈööÈöÍÃá†7 Û§Ù¬Èö‰JmüPãRöÕ _&Ûç*úÈümñ¸¦!J¬åÙ ,Àö‚—e'p<ÚHРVžEù¬vp2¹nøjW§®ÎgQžÕ®«:Š6YÒ¢*mweAx®õ0ëÅ£Ô*áu”¯»ïeV¤|Û¬”X38{?åCiÄêð1Êæ;Êá÷ØAµ¥ŸAƆhUÜ¿Òšõð§eÆÔ}ê bŽÐè{Lž’ì»o¾Wv)¢R>@ùAö.Eæ–«(¯7ÚkUkÑEXU'"kÀg(?3æ³À¸S'œIu*/$¥>Èj'S8Õ̤×w4×ÕðyUþ¸¦Á¿8æ5Š_ƒmÂìFq ñ]"TJÄw wR­ŠïÅià]o@|×Y[^Gû]·Ò–i»dZâ¤DiÆëø3^ß9Ö¬6È®Ãqç¼tùY Hdnho# ñ]b8ÜôÄw5™f$¾{>M(ßÍÓ¿‰Ò# D|7+ÿ&seà¦7 ¾›•“¹"ð™7 ¾ëj %óÏLˆïjÒ° ¾Ëàœ„ÂJyÖ3,&avÎë.œºn2Q@ý3æF4n¢â9æ5ÃZ„mÂìfX'q`Tƒ\8㙞WK’ºõeHŠÑ1ÖVû¨°btn5Jr­Ÿ:~3XÑ`< Ü@ÙÞYóÔØZD<>FÙ|a@+cïõšÑs-1Ënv±uŠ½Ö`WžóL7"’¬nGÁï®è@xdtDI5ºnÁØ-øÖ]ÿR‹.aU?š>MzšÓ'3·&ó›âqMCÌ·œgt-Ãör¦ÑUè^bРWžGù¼vxM$h-Gá_®¨UCdÅzç`;h²½fà·£¼Õ~jJ®aœç€›(›{Ø1ÆÖT#]Ì1Í/<Ë>ÒéÅ'aö8ÊÇ݇Øâ±ôöS¯» KÛS¨í”¬Ú®ª ˆ˜äˆG3º'Mé„þ-œqÄcX+k¬·f²Ð}…ù-æG)ô«õN£þ¡î×{€’ðùª´ÅÄÞk(¯Ó>‡»vÛwtf/5ÛQ+1£÷9”ÏYsï3¯+Ak§Y=LQ¼XEžÄ;'/Á©9š9xÚð5õ²»§È®9N/x]EM~ÇL«‹hÌ ˆÇù¬£ ){†³ŽI~›VûªzêF'.$yüd¶iþú7úÙÉÿJ¼¸vZ†3/ÂÞ¯gRû þœü )K’B?#»«ðBÏ{_±ð‹*h¶Ú~½ëzì6jµÆ[Ú|–Þ‹Íà§N•2ó?D¾íF­²’šuœ< DùƯ£•”à==¹ +WPi²8%`"eœf­¨wQÂ|YÖE)V‹§:‡>†* ”hâé:‡N- I3 X iÛ1ï½Ó uI@<ê´¤VO¾nµ› ~ApÀð ð2Ê—­NíùÈ\¸àu¾¹î*Èüñ8M1‘D±)|Óæ›dþ”€Åæ‘­K:‹M28t›d®Ì16ÉüóŠM>³IL-\Å&ŸBæ›ôœÐ<6ûÞÞ¯î§]¡šÉf(9Ÿ“U|œ@LJÎ縊z. ˜Ø±vb>žâCˆ‰<ãã$b‚£Ýø8g—W “Š“ðÔ]OU “^Oþ"Êæž© d~^ÀÄÚ³3Bå <Ç÷Îœä”ü± ÑnwûèPyQìÂâdF×IÔBä‚ðÊZsJ³áIÊ8&®ˆ: ‘¢Oˆ¼ÓÊ)D¸Cp´"ÇZ]iøñãàõŽXÍ¢<›}x„G¸ï:<0³ë"çáÁ7_§ò qõ2Çð˜BHp´<ÅzT÷öÛª2… ˜òœN±¦à•„9N±Èü¼€ÚS,©ÕS‘Cv{­Uu žXQ‘ߨx>GŽx,UÀ±/_}û]Ê¿ ÏQ_FÕ<ðâÃHIÅù¸ÚÅ~€HàˆGýV2]þiÅûƒF÷ñ߯ÊýeçQN¬{vÙVóy©[ïq]ýsjùÌö7ã–£Hç‡9âÑ aÙÍ©çã+ô³(kÕÔêxJ>’k·®Ú…ÌÏ ˜Xê2l—[?¯îíß? šQÒÉúéöì´ýú^§æ7YؽQ>!EÆ|OƒðÊ÷,6Ø8ú=ü°xÉ}ƒ‘ùûâÑl°±çþºú=šÕrw âÎN½G¸{`Èø¹¨ÞÓ“éIQïaû”Š1R~ß0“ò‘daׯsÆÞ¼XµVþa£æ·Cuñ°€Q§í(u¾›˜`º Z>ÀpLL·ƒö}ûBºá¤:Žf­XßßP¬a$íŸD±VŠ<[ƒ _n—ìGOГu¶Ëûfõ/zÛ¯E¢÷o‚fœ§™˜Röö(M³ÉÚüs”Í;‡ŒnœÑ¥‚½fc»ÌØgþÎ~?Ñ8kí7:µ ]`óY| Ugq¯ñ¿@ù…ñòÄBÙü P8 W²Cšt?™E;oáKsDü0ô±Ã€dVôöÛîûí°k­F­m„di÷­Ì^íö-iøõøÌ&$Ðà^_ÂÇ(?6æþ„u«¶”ÃJèþ%h6îãç+¥è5h%ig߯ï:ä€0¡|Äü<]-Û÷ßTéöXT±mzEn«àCh´Ñ)¿O²Ö£j¿CT®ÊZ€Z¿Cæ.o¢¬7³ë3ÝúÓh”Eà2ÊËöåf£Ü er¸†²Ö¬¶Ç@y6Gö×Q¶wôôÔk¬Ÿ¥ÌYÞózYàršÉ‘ù Ífrô_K¿´¥©A¦€¼©À¬2T £3/ S¿UÞézyèît • 4™eâ²C„罬3>ýK(ptŸ+ô2²äMèùn®B|oá”0~ÛB 4è.šÒ¡-1ÕvâSX³V¬ *V‹—êëzBºÎ¡S Cò)ÖBÚª¾m¡ÀñiI­ê Ö tÕUù+&ÄÈœÅæ¡À¬cs„P «Ø!h+64h  Ì.6Gf›#„]Åæ¡@g±Ég6‰©…«ØäSÂc“ž!B±Ù÷öYf'¼¡B®âƒž!BÎâc„P`Öñ1B(ÐU|Œ 4ŒcáwhM5B£„>}Ô~¡ã$É´ö”gUÝq>ÁKþå_d7YMåñ)ls´s&áÓ%öy”´!è»$ъójtÐ<ºÞ½ãoׂ’(Ö@uÐÙÙW~•Ï@ÿ³þ×2”,±Ý˜W{?Œ®îmŠÔÍËT~BHYœ”œ?<\_]¥Q*òÜUuWü¸žGù¼1¯{Ût+&¤ï…#š%Ú F¼ñ[Qgüs°$´§ÀÁ¶ƒúÎ~D6â~¯OBDƒæ+P#d(3óY¨œ&ù¤I¡ó±8 U€mŽv:¢ðKg,1„TZ_‚Ê—ÝÿÀÆ—Î-ÉDSžm„¡Ô[ò— GÈïš'›¸Ì'ÁÍN½º[¬7où°†£}J„BF.Cz+Kü¸>;ƒÃ°Ã!%ÎÞ*D†2߯Á‘påc¾«è+»ò¾0Ùë(Óþ¨®¢¼jL{f):KÍÏX+³ú5˜ΠÍP«Ì®fR©'S¤^Á߀>¡Ñ4Cj¶ðºÒ¨·Û—šX "sßz6ûHõ¾šìOˆÇZ QPæYß¹©‚´uËïðÖµkÀŒÆ÷¨ŽÚµ!ý­áú§¿=OÇ&ýÆXú§¶t8‡ªŸžOÙ‹ïN“ä`Z»Œ¡}:ãuwÊxyvOÂÚÖ>ýP»ÎÚúçT>=×CÞˆ:Šq~šš# V]œz<¾ówe­Ú‘ZO÷TòµêªUÈü¬€x,µÊôz…+’<¹"·I4OE}Êë;¸aÜ4ã(œÎ£<ï¾ii³‹‰ãtŠMc¾§8âD°fµ¼à §¡› Õ7•ˆŠ*¿‚x|T¢¨§ù ¤š¦oª¥Ê»KB†2³èø£TBùŸ˜†¹r|~@ŠcbRªèøs¦tÈÏϘP Õ¬õóc´HÁ“n0)V ý ².[Sv§ <3=T'çZv‡þn(‘ÝÑl]MÙ)4ë”'•ÝÑ¥=Õew¦â@ꊪÎyšCbÊÔ5%‰™›JdwŒÍ¦œÌ›Š]0B‰ìŽ¦OèÈDvÇ’CèËwÏuÅë˵“¥_,z²;YúÅ5à#o@vG·¯Ð“Ý!^Oß8!»£IÆ¡ìŽ(o,‘ÝÑ|²;¢t±d—ÞؽRNhG}3ÌJRϺš~‘ùyñ¸¦ÁWÔ8Ú™ŒªO»¦a›0»i—ŽìÎ4|fÚ“ m(ι&Œ²•Ý!Î3@‰ìŽfëf"»3ƒF'”ÈîdÕPÍLÂì2ÊËîÃÌß0!»ãŠÆ9T<Ǽzq3ÃÞ@Cv‡€ö{ƒLewÎÿ%²;škGvgLh´¨ýT“0+‘Ýqvdþ²€ ÙW4„DܹF¿0Ì0úuew„;–Ñï<Í­ W²;s^OÐW"»£Ù¬Èîˆ:œB‚ø¬;ª¾ùq å[î£Ìß0!»ãŠ†ÐûæÚ ŒÐá´Ô hÈîˆ2œÙÃ5X«²;ÂbžLvÇY[Š’šæm™¶¾¦%K"$²]ÚÏjií2‡Pri?«¥527 ´·ö‘…ì1œnz²;šL3’ÝY€OJdwòôo¢ô(‘ÝÉÊ¿É\¸é Èîdåßd®|æ Èî¸CÉüs²;š4,Èî\s ³ý¬gXüÓŠÌòÙ–VogÖ,dþ¢€‰%†o?\v‡g_àú²9mú“ù ñèϪÌèÐfÛ´€x kå×óu•ëpŽÆ®b9ñï /Þ•»áIÿ*ò;fZ]Dc^@;û9ÖåJÇç14ñïȃ c¥ýñ²>ìü¯´¿£'M#N.¤ç¹¹¦ýåöïQþ½ñëØNû«@ƒâ¯lJgDÚ_ÍZ±žöW±Z<Õ™è1T¡$=›®sèÔÂC¾ŠµöÁxìÝo’ù÷ ÊWt˜I­Ž™ù÷*ÊW­+óïû(¿oî:™¯ ˆÇyxŽÈü›uxŽÈüë*Ë»Mÿ (*»…Z'œEyÖ˜Ø2c”»%ƒ-®­–Øzø4ƒÃš¿ÓU^POf&ÜE.ˆ¿çÙ¸ ~›E™»‡“Uæ*ð3»Cß?ËQ'"\‚0¼ð#þíÇÉÎUJ÷®Äè  •Ø=¶VbGñϨýü(üù:%xV~‘"È~ŒòÇÆ/r¦—‹O½nW@ƒP˜NêõÉf‡¦Sæ—2ïz¯yG{^ÅQ¿£5¢!hI˜Õ†Â¼€ÿ¯{žŽMÙðG?H§l'µïÐdÊR&ñ§ã§º½~A{ŒtÊçQNï{vOÛN§¬ŸÂ:ª«΄ʒYÂKGQŽ+R]Ä£Aò›S¯Çw2gQÖª©ÕñR*Kî¹j2?'`â“Õ°]î~5I‹Vš~} !;z»Zï4:­p®ß$-+òæ;À„k(¯Yl¶qÒ-¯£¼î¾ÙÈüCñh6ÛØ·vtÓ-kVË=žn9ò¢¡ —²+Kä¬4—)»ò`î甄ËF¹–Ë(—I_&Òu¿Ü$ŽÏ_~ùígš© Åƒ[µ!ã • :E›ÛUPŽÐæV Ê˦tø‚(ÇD*hÍZ±¾Ý«X-Âxi#´¸÷8ã ¤‚ŸœëTÐ|–P’ Z³u5SA‹[–’Tгi–õTÐDhÎëm×Íy}Ûu†=RjÞ27íõ¶ë¦½¾í:c³Cv ùž©$´¦O褂& @I*hK¡Ÿ šx­×½TÐYú_G~è ¤‚ÎÒ/®y© uû ½TÐDbÃëeRN¤‚Ö$ã0´¸ù,I­ù6RAó…(Â9”µ>æRÜkÄ*ú³$’«éá¼€x\Ó˜FÅs´3UŸvÍÀ6avÓ.TвÍ/Ÿ”觪˜„YI*hWa‡”.&*º¢!LÂr~1%pvѯ› Z¸ý~!FK=@© /¡$´f³f Z|Y*è¬:þ@fo¡|Ë}ô‘ùÛ&RA»¢!¦`γ‘>ØR'p<ÚHРVžEù¬v<ó7ùjW§®Îy=9sžî®¹´Ž¢M–´¨JÛ]!. Àk(_³ÌC’óaô:Ê×Ý÷2+Ò¾mVèÐÞAØûµtß>Fù±ï±ƒj«E½0G«â~ø•Ö¬‡?-3¦îS ˆ9B£ï1ùq}:ë¨êRD¥|€òƒì]ŠÌ-WQ^5n´)ÖªÖÂ]}I’x¬y½|Çk^_¾cM> Œ;u™T§òbºaÁ‰²Åy–ó+xPv=|’é«âqMƒgNÉ<ìlçim ³Å5„Ì2AÃT«‚b¾d‰ ƒ³¶¼†ö»f¥-ÓvÉ´Þ¥ $•DVd×à8„’TY Hdnho# Ab8Üô4™f$èp>M(tÈÓ¿‰Ò# DÐ!+ÿ&seà¦7 è•“¹"P"èàj %óÏL:hÒ° èpÎIhtWm†EãÏ$ÌΡ¬wøÖ¨YÈüE‰s ß~¸ CµÍ<›Ó*å* óâÑŸU™_a­ÜglüóØ:×6ßÞGù¾5'%öpù"gNn´×áhìF–Åh1v xÁ{Pä7ö±ñatæÄã|.^N5š‡{ã’ÊXrÙ_Æú—ÜÃè)Õˆ{Uëùn®r|æóÊ?¿Žm¹ô+¦txš0Ž ¹ÍZ±.÷ X-žê<õª€P’ïF×9tjaÈ%#ÅZHûœ|ÏDëáRïQ§%µ:¦Öƒ ÀiÉðXZ (/˜{ƒŽÖÃñ8ÍZYÇæ­W±9BëÁRlê$“¡õ]xŽÐzÈ*Fˆ-d#Ä\ÅDZÃøÐL&/ª-ÌyÉä³ 1©¾$™¼«!óó&ÖnHAQÈ'@  Þeå Ü!8Ú ­dò¯wÓoÖHœUx„çB]‡†­.âq#’od#´\…Ç­ÃðÐN&/ê-Ì{Éä³ 1ç‰$™¼«!ó—LÜÑr"#ô²‘z ®Bd„ނ颓L^ÔZp8‚ˆZ 9Ž bê£Djuœdò<Ñ…þ&œQpqŽx,U€z2ùÛ¨še¯O‚óquÆ„ÌŸ: ú-+Éäoá¿çG<µߤ±1«,ž9›c‡¼LŽKgh"ìÓ&’É+ò¹nÌgÅëÏ…¤ÏGüÛsKìgA=húí ºÊ®L‹gƾÛý"4¤õé~§Ù¨'Òî~“m±µ§O6ž­m>Y/!UÐó[å7¡Ï7šÅ/ý??§ÿvE='¢˜ÞúS”?5~•[µêvÓokGͶDǵý ÕbÍF§^ùѯ§Þ‚J¥Ê³aò˜6¿¶»Õú­J°ãWªü.Ábü7Ô%FÉûwkFS½Š…ã†ÑÕ­÷<Í\°†ÁT†mŽv!²}ª4äìj iû·¨â4<ò¨2”YÕµ ÛíT×Ê>»×—5–êŠö¥¶Vc!ƒ­(¾5êMp-Q=Àïõ._¿ø1Û°óÑ%¹b„×Q¾žCã>„mŽvwa‰½¬T3j¦^Nå÷œP^°Ð×¥9_Ôž÷×D¼·¦Ñ¾àºáÙìë¾PåÍV>â_Ö«Çx Â/Pþ"}Ûíxì'Kì»pöÀ6k5~Ϫ%bÕJ¥å a~A3„5vÙW/Ù¾_¯Ô†ä'L}“§`Oø ÊŸ¿É‹hìù¡7f³ØÚæê*[fÂÏ^„?£¡|1r‡Å?ÒØõÕKåWØmÂ(›§Y³>”>5BæÙJóŒF!¡e®Ñ(4ºÅh\ Çz|“8J±ÝpŒ®Àtjí*ÅÞÑVŽ¿³ÏÞ)óÞWB{ýóÝÁqoªA+öÜ£­76ýAÛ…?IBá³ËðåbÄø€{f”˨¨AïCP"4J)oèÁ6G;þX G‡^Öê„u¬Úªß¡äµ~›2TívjÊt_‚"¡ ¾eH÷#jOJ¦÷#˜©q·ãnj1ü€ëÔËQGµþ¿îŸÃ®j1ü‹ê­ÿ1¨Ü߆¯±9ÎkPÿÒ*U¿þã~µÖx«Á_}Å!͹÷ ½wn‰}ß ØOQ–Òj½ÕüÔ4ö©Ô>B!]ž!µ'©b¼´…±\ÈFý¨ÁwŠ‹ô͵H³•pä\Ôèž>cBa©Î^j¶ðºÒ¨·Ãþ½²tGæ~fµMÕ}‹ìOˆÇZ Òã=ÛÏÝTAÚ"óÏñÖµk`w2Í輊ÿ‘.&.-iÖŠú¾ê/Ð"¿ð¤ûªŠÕ’væøT4¿Øö›ìf€’½wC·MMAæ @ÉÞ»±Ù”=M27 äy̧Qqâ…JµþN›.¶ƒfø}ÛbÅ°=Zé*±ÃÚdøe­¤†ž+|ødè¹ÓÝo¶è*¾Çàû(k)l¨ùïðYÂk^7YOÖþû|–ð:ÊæËš—SüWÕo‰Õ àcÏVÂÓŒÉ;Â@Ruà/á´„ÂñË|Ÿvµ£=圿Äì2p e›™iSÜ—ÌÍo¡¬µÅ¥æ¾dî ð6Êæ™h/Eî»í´ÖÚ¡µ¨ê½Djøe­µ6©U:8„1ÕH™©kþÒËuþFæ'ÔŸ¿Ñø 5ÀQ»6¤¿5\ùkØótlÒoŒ%„lK”w¨òù¡Åf'U*j äi”§{UäÙM½a[ùí*ïìýsŠ Ïô·á'Ž"ü½îïňGƒ†M§îŽ_/šñº÷ZÔYI­Ž§€,ÔŠëF!óçÄc©Q.üÒoîUëáø6L¤çc$u|å+Ûg©c!û­ëö!óï ˆG³}ÌðÈB¢Y-ϹÔqgo¨Î±D\Xù ÄŒ;Í7ˆ¤å:Ǭ–[ô³íÚ¢¦¶0ï? Ë(—-FÁ(ma>HÌÊ\E¿Í11GUŒcmarú3&´…5kÅúí?Åj¡Az:ò_ jü9ÛCuj¥ Jw_²Xø4Þ&¤ ŽÍF’ Wwöo]Q«~påMã¦}Ìb1;:ôöq-öqt^$œÕ3öªåH†n'eÅËé\)zøåÇÆÜçXT¿~µ¥a«QÍ*2/I¶¹ g'ÛÍ°kUíS‰ÌU C™YëS‡^°¹¼‰òMãVºRŠÓ‡%Ö¬îí·Kl»Ñn7”—¡‰×¢×S¨]ôlŒ§Yè:V vÛª3@QqV²œgÜN#î6ó>qáÅÕÐG¦Ï ˜¸ðâŠ_Üàhg" >äMÃ6avCÞILB5È€3^÷¸æ —¸G‡eÿ–X§Õñkµ#ê¥Ãq£³ÓRÏ! #> |ò ãÖ=ÉâÓeŠdfЬ„B‚ƒÁBªñá+ÏiˆOu1ò¼±”Ž(eÕ~Fð¨K(_²h6eœšñº‹!ÑþÄ)¯oÓTÓ'Ž±p”Ò¨÷¯»É•õ¿Ób*tˆ㉗¿à:Êënüb øå‡nüâðÊÌûŠ2ûº®®]E$6¼®ölT6Ÿ¬6„Fsvµiõn“0+£q5ß!óóâqMcÏ1¯i— ’á´ë­õi0+%ÚŠs®‰ä²ÞK„|ë0Ø©î†Ó.¢HÂýðã=œtQ?TШ¶®X.švÍx6¦]·YWÃýR`Þ=€L¾1«Þ‹Ö‘Ùe”—݇!™¿# ×4.¢â9æÕÌÃö¼—io@‹ýÌ @û½Á}ú#VÕVøæ×X»é×[»æ-ûCS;Ò¬V^y$ÊüËâ¹×Ò6î<‹7P¢Å¡®¶jô‹"ÎBãgýdjÒëå•GÙuØ‘éË&R5¹¢!*Xçý °½àeý§øfš»ðœ×]зÔ,QÐÝæó+ê´Ú$îÅC? 3Õf]€) ”7Œ›u‰EƒÍ?<¤[´,º‚ÖŠ»&Þ (½‚¶&\ByI‡¨Z'@õÂ7ÿo¡|Ë}ô‘ùÛâqMc„¯³N`„¯¥NÀ¾¯á¬K!^gmy íwÍJ[¦­¯e!Ä›ÕÒšp¶_–†;«¥527é¥ ñj:DB¼šLóâÍÓ¿‰Ò#/Uˆ7+ÿ&se/Uˆ7+ÿ&sC„x]¡d~ˆ¯&ì…x³šaâuÕ,d~ˆ¯áÛâåB̳9­²-Ä«>«2£CÇS¦½T!^ý% ɱ`Un‹h%BûK†Š»®üe >ÂÑØ_Ü*î*ò;fZ]·¼¡Š»Î&Ü#wÇç1TqwÔˆ±äv§½¬ïüüKnwôÄiÄ žOõ7W¹ÝsÀß¡ü;ã×±-·«@ƒÂï¢)®Á1‘¹B³V¬Ëí*V‹§:=†* ”(è:‡N- ¹è¢X ‹Z¢dÄe(Y Ÿ“ZïCæ @Éjˆ«p%óL|8‹’·YÇÇÉ[Wñ1BòÖ0>4EÉDÑY~RSËSÕD•ˆ’¹ 2?/`bzë,@øŸc]KOä |Y£ÝÑV]:áõ„_ç½ÌOY…È ¯'ü*Éüä*Dè¹,`b+ßYˆŒ~Í:DF¿º ‘¯†!¢¥º$ê¾ÎzªKY…‡¨û*œht\v–#Ko?Žê_ˆÕÿ3ªž ‚#K`¦ºT@¹Ðããj‘ÌO ˜ø4U[lu¡º4£46f•5BuIqÑóä¸ttU—4}hùPLÊÝÞñ›-žNþm»ÄŽ¶÷4RÊ® %Vàmïy6üž?L¤âVæ%$oFòºžäÕM}ßÙÓ )ª-]Gùº1ɇ‘ŒîÚo-n/®PŒ%öMgÃÄw£#òÊo! 1}ˆò‡Æoñ|Œ·ˆ®‘“žÔËZí†ßŸq*å7¸Ö„ö.õ<öüLâÖ?UÛí yGÝ{Ê`Jøåºü€Ù±Rs³9m§‘ù õ{n#«¨ŽÚµ¡0Ñàÿ[ƒ=OǦl<¥Ÿ ¤Â³’—mh¼ )qÖÎV°G'ÒÚeŒ\x³^÷בgw_Ìv.¼uë•õÏ™OrÌæ3GaίSqL|l)аíèâNÁêUÔêx9ñ$WN]5 ™¿(`b£Á°a.~[­ïÕF x íc”ï}”ß·ØBãdÅŽ »n!2]@<š-4ö¹ݬxšÕRBV<8ÉÐÌxFið„·!åô0˜¤/-3žßl6Þj¿‚¸Ï ‘IÓ|…»ô œA½%íë´Û!Õº_n„þüå—ß~¦™ÅO\õ•¨MGí¨,~)‹k®¢vÄâšbÔ2S:Ñ()`"‹Ÿf­¨ïˆiÛ„P³Zø˜=xâ€bMƒZxÖÈâ7>5ùuZ~©>¾=É@FÂ~àWh5©ÅÂÅo¶­œd ¿GøeóΡÀbŠÅE:b¼Ê:)SÝ”~žè´×w¶Èu䟖?®iˆ™äìõƒêÏ?ÏzYFüI bäç²$fŠ1Ÿ$uëKšöÒÐÚj…³àb¤‡^b4Ê–Xë§Žß Tc‹p¸òFö±uñDøåÇîšð‰€x\Ó˜†sÌ+¶f`{&ÛØÒK(Ä“…Ør˜ pÆëm‡Kj¶®f‚ÀshVBI‚@ïsK éwæ€óÞ@‚@ãŽ(å6ýÒ4P’ ÐØlÊ™…s± F(I¨é: éw€’–B?A ýÎ pÝH˜¥_,% ³ô‹kÀGÞ@‚@ݾB/A ýÎP’ P“ŒÃÂf³l/Qól$œB£ÕZµi A“0+¹$ïj¾CæçÄ㚆˜˜/Ïi—¸‘‘Ý´K'A pcA–Ìp #ÛÂvY‚@ÍÖÍ$A ˜›N’ 0«Þ€ßW'³Ë(/»C2GÀD‚@W4æQñóê Ä|qö …³çô™&$Ê3@I‚@ÍƵ“ PÌM'8aÖÑÏ“^ö¤ ]…ÝeùãšÆ*žc^Ñ/&ŠË.úu«ðœ7 аÈ Aà˜"”$ÔlÖ Š¹é$ ³ê¨^&aöÊ·ÜG™¿-`"A +bb¾<;átH–»šÑ¶¼µÐ|W3y@ò•²<_-!œEyV»®ê(:²UigˆËP(g½xt µJxåëÆî{™éß6+%Ö ÂÞOYêžXÝ>ö¤îõ¿Çª­õÂH­ŠûáWZ“D×H#NÙ§®#æ¾Çäwë¾ûæ{e—"*%à”dïRdn¸Šòªq£M±VµìêK’ÄcÍëeÁ[óú²àiòY`Ü©Τ:•¿g!f”YâR< ѯ׊Vº«âqMƒ¡â9æ5Šß„mÂìFq4¿D¨”¤ù5ÜIµšæ—(N%i~µå"ÚoÑJ[¦í’i¥A%J3@Ib›¬6Èá8„’Ä6Y Hdnho#‹4¿Äp¸é ¤ùÕdšQš_á“S–æ7Oÿ&J€’4¿Yù7™+7½4¿Yù7™+%i~]¡dþ¹€‰4¿š4,¤ùåw× î©Í°hüÁÚˆ,ͯ«f!óÔ¾]#µ:<ÍoÁë~YœV)WÏûÉþ¬Ê<»Ã´€xŒ¿¹™ô¦“N:tåâ6ƒ%•èwù åœ<¦/áhì1–ý®xñùòOšè7« YÃèÌ ˆÇù”[Ìa4åšèwœ«žc%ûõ²¾Ôü¯d¿£§OB7#›|®ç¼¹&û姃^£üÚøul'ûU Am²bJqÒ’ýjÖŠõd¿ŠÕâ©ÎI¡ %‰ètC§†ÜßU¬…´OÇ÷Þiк$ uZR«'_·ÚÍ?Ì<`xxÙëjÀ[2t£K@§C§˜ßÙáÐ)æwÎqè$ó×Ìkèä‰hx&ÇáÉ3gñØÈ)4%f ^/uƒp=/ë)DbÆU€ÐßÍ ˜ØXq #rfe âÊmŽ2… àh7@´%f¦SžTb&«“•I$f\…™¿,`â2˜³3Žå"§§ó ‘Ó ŽvCDKbæ4B‚pÖ˜É*<„S²2‰WáAæçÄcéíÇ‘˜IÉþæªÈü„€x,U€ºÄÌ]T ‰FœEYë6”Yµùiñ¨Ó ß²"1³‚ÿžgÇÕ:ú“ÆƬ²JðŽ Ê*“êPÁ‹ÓÚÉïx·VÝnúÍ£â^³Z!YäÒè% ÝíÔ£Ö3Òº0ÊÄÛŸ€MÔÄi~Kâ°-VkP*¶#*ùm aœ`ùÀëÓy1dü¶Qî*‹ðTÓë82ÿºÔÚþx üßîý…O×êx>ç8Gj-¨ïµ÷Ã?vêÕvqµ¼VZÜ9X\YÑxûU¼1á[”ßf×I¥òXƒmŽvŽ^ªîvÞüÃVXKì¿+³[#B!‡óZzÛíÔÒ•wµêykÓ¯ïq|Ý"‡Tw§G E(d+0$¸p$#†2¿ p"\@yÁ˜ß'–:1¤”åݦPVùââÛF³VY,±¨Š·"Ã<þÃQô‡(9Жò›<{ÂOPþÄøMæ¢+Í+?ìß-–Wþ¨^ÉO@‡P3?ÿy¯’›ÛÕz¥ÿ¹Ä¾zYJVûJÜ‘T»òË<Å ~ŽòçÆ/s«¿õ™¤ÚÕë}ô…«†TI쥅Ú^¡êYRïzõb„‹êDŸá"Ê‹9t§BÚ?‹ÝéËžœ˜ßÞ/BL‚×ß=ÖÚñkÁï~ÜiÔÛÕz§ÑiCW¨¶[pTõú4¼—(¿4~‰W&²ã„(ëMŸÍöØæh§a?\b¿ot¢{€á§'wtÙ®ìD™õ£À.Ò"I]ì/®°Ôó½©oñ!˜Ø_6|‹µF‡nÞ†ì·ÊBÇÙö·kA4¥n6ª­âÚêjiCgNù¸ ó:CÞbÞ·Þy½s4«;Å°¸³ï7ývÐ,òßÑ`-ŽL¥O“õ:eœ­¸·/¾+±ÏÃ9i‰õ¼£Äjoi⿶ªAüc%&ªÎƒN˜…X ºÕŸú+ Ý)¯QŠ?ªC„ࢺØͧ J¸ŠòªùÏøÇÜj8 ‰Ká;вfXzUÔjéÏ@ÐÞ¯ÞÒÂ<ÈæÇÚ{Y¡L¾ý÷Ú”Ùý Œí}¬e¸fòs$´·f²¶¢#L*‘†°©tï+p%´×Ï?Û–®™„Q³/ó¬mt#j½»d²¾¡O¿iBaNêðv_`Mç¾é/¬¾@úñ <ìõiËbŒZ© KUÊïú%Þ0@9ÐyW©Ù¡*º÷aî—žÍþNyqšÌOˆGƒ†,½š2¯¼x/–c⦕³» _£E¾öL?:†Æ,t¿è4èÍ…L³–ü65E™+/£lïvwêf(™›. l¾Àvœùa£QñW€×Q¾ž‘_ÐŒEƒÞ=àC”ºñ‹ÛÀG(?rã7€(›çZ=®“ö•(<>CÙ|Ð\dì SkWïó‰k4‹mEŽK½†z~†_ÅÞá"Ê‹ÖZŠ6hi½‘Ò³“µ_{¹Žwd~B@ýñΈÆ7¨ŽÚµ!ý­áªñßž§c“~c,Õxk æZÊñ§ãê ÑH[ÇŽ?òù^5yvs,ØŽ©]íQ]ýsêÆÏö7ãÏú{^¿ì  –Ýœ:>~£ce­ú‘ZO6^’0ÃU»ù9'Û Û…˜Ï↠*$æW‰’Ìû5vøõ²"[~ÿ…ðÊw,6Ö8 ò<©RÑ}c‘ùñh6Ö¤ñZåˆ šÕò‚+ÈG^3T@¾«Úÿ®Æ µ˜®@"Ç®ù ¤Æž&¯%ÂλPB†2³èø£DØùD 1?såøüF,ÇÄlUÑñçL韟0!®Y+Öo\)V‹0õñÒ”-ÏLÕɹ–¥¿›Jdc5[WS6V¼3$‘ÕŸ¥¹¬Õec§â@êÞ—™óúîËöH©K,dnÚëÝ—™öúVüŒÍ¹¦Ã/-Idc5}BG6–,%²±–B_6–'T$\÷dc³ô‹%àCo@66K¿¸|ä ÈÆêöz²±Db(‘Õ$ãP6V¼ý%‘Õ|²±üú ¡äØ¥±{¸ÓLf%I×]M¿Èü¼€x\ÓàKmíLFÕ§]Ó°M˜Ý´KG6v>3íI…"ç\ FÙÊÆç D6V³u3‘A£JdŠ²ê ¨f&avåe÷aHæï˜uEã*žc^½ÁyØ>ïeÚhÈÆ£Ð~o©lìyø¡D6V³qíÈÆ΢‘ çQ¶ùå“ýT“0+‘uvdþ²€‰L®hˆ{ yF¿0Ì0úuec…¬DÑïb´Ôd ;S„ÙXÍfÍ@6ö"Úšp å¥ì;ª|Èdc]E™¿- ×4„Þ7×N`„r¼¥N@CpNŽ—ήÁZœód‚sÎÚR…7oË´õ5-A.!3«,Í]VKk GYš»¬–ÖÈÜ$ÐÞÚG‚sÄp¸é Îi2ÍHpn>M(œËÓ¿‰Ò# Dp.+ÿ&seà¦7 8—•“¹"ð™7 8çj %óÏLÎiÒ° 8'¤80; £6ÃâŸVd–϶ôÄ5 ™¿(`"©§áÛœã‰n¯z6§UÊU@æ'Ä£?«2£C›mÓâ1ÿ4uFJ•è54¡ýO“QÚsïÃâõ|ç:†£±óXÖž»áÅût7<©öœ"¿c¦ÕE4洳ã>ûfðæξ‡jÏq\t,é¹ìEÿKznôDjÄ çŸëùn®Òs|¾óÊ?¿Žmé9ô+¦txâbŽ‰ ‘šµb]zN±Z<ÕÙé1T¡$A­®sèÔƒ¿Šµöi[zn|ZR«úÒs††u¥ç\udþŠ€xœÇæ鹬cs„ôœ«Ø!=g+64h]ÐYlŠºscSÔË16¹ÌǼb“ÏlS W±É§„9Æ&_]áh›}o¯%žsÂëi¿Iv²Š^OûM²«à*>øn&ÇÄ:›³ø¡ý–u|ŒÐ~s#´ß ãCS®Žxù³âQ§A¿eE|íþûE¹¿ŒÇ(Ye-Âo8&|Hñ¼Éåqé¤vit0é´€ ñ5Múp):K·Òp¼#:†ÈÓ³Æ.ë´hŸN3´iþ ìújl·Ún¹¯žú·ÐD„¢ü¡ñ[|´Ä¯ÓÓ…ZÖjñIÊÝZð®º] Jñ½¼kí7ÞƧ„ã÷©¯!Üaõ>Bù#ã×X]ŠoÙFg'H‚e·Ù8`~ý•ÞˆÞ±Évö–Ní/ƒ*á*Ê«æ´cQdróMmñïñ âÖ®¿Ón4‹;G5dÛ©k‹´ÕCPHd¦ß[ ðX‹÷Å}V;(†Èþ{KŠ{B•õÕ©zý­€+áÊkƼI{€hG¢"¼½ƒw‡~½R¦¿+*½ r„|HX4&zQ…n±VðSñ Z5¬Ðÿ]\è&…__]Qφ&h4Êô5¿ÏXØ줽H©BZE£èᦄü¬©^þño'5˜Ü‡uB!A ó8.Ã6G;q¼J>‹8Œ P[Ïž6ƒJu§]ŒB¼ŽNo£@ŽT;”i?UÂU/¿nP°m±ú~¦8ŠpUZb,ÔªÐ!Šb-Îku¶9Ú©Õ+K”1+Ê£Ìô›4›¦º’ÍC"®š8¯¨G°ÍÑNE=ke¼À-…IØ5÷Í÷Ÿ™I~>Fù±1ùHèVg'šE„/r+œ=†ñ±VÞ|ÌîF?håðgÊtŠÓ¸Ætkýtï[ +j}:È:;–L§=]Wî!•‰o‚,¡Ð!™víýùiI¿ç(œˆÑüf' ®£p.F¢<;݉.Â, Å­^"X3eO£®]jv¨H¿F”"æéjŇÌOh¶ˆa,ÒCYª¦LœI×½¡ÌåÕ@nª8Ãq7aM$ÉWMíÒ˜n¡Í…5 C¦ê{ ÀöžtÁÒåãÓÂúÁàÊ Öb,õ 2™+¯ ¬5I1›²ÀOæ&WQ¾jì7Ã%Y ý¶Ò؉n™Æ¡ø`Uï%zï_ lžn•±Ft‰1ÊlI‚ÁÍF-Z¬Š.þÔŽhPÈo¥ÊúCø7áª×ýÆ0d=Ëy¶”¯‡~.„³(ÏZóµaÒ7<¿úK/×Q„ÌO¨?ŠÑø5ÀQ»6¤¿5\úæØótlÒoŒ%}cKƒe¨òÍù”A ÖkµƒÃ´vC÷fÆëÿäuäÙ½ài[÷æCí:kêŸSõæ\y#¾rãïyýù!ñhаêâÔãñs´çPÖª©Õñ4o„jqÝ*d~V@<–ZåÆ'ñ kÖØnÍ7~<ÅØ>¢¹Dµ©œ…:F²×¨¼l±­Æ‘¼‘ä rÕVd¾( Ͷš4^ qóU³Zº’7a,'xÓ”Q~…’7š¯°>Dò¦RmÆg&èçûolˆà¬£¼n14Ep\…ÂÅPû‡¦Žf­X?ù®X-ô/HÇÚ®kÐãÏùªÓ“¦`½Ó ­Æ.F˜gìΛý;Ñ×ö› ©õíJÇ/å=Cù™qÛ>‰„êl¿Ñ¬þ%üÞök%Úι³ÿ&fÛûyü{œ½"yñœ·°„n©›y‚Ì>Eù©qi'Þkâib{}¦zï wd×;hJd IÙeYŠ}ƒC‰,"< ”Hdi¶®¦D_† ”HdiLç¥ÙwÕ%²ç€óÞ€D–qG”²˜L8 ”Hd›MYL>»`„‰,MŸÐ‘È"\J$²,9„¾Dá pÝÈÊÒ/–€½‰¬,ýâð‘7 ‘¥ÛWèIdn%YšdJdMÇž¡D"KólHdÍ€ áÊsÝ+eÚÅ/ YIšhWó2?/ ×4Ρâ9æ5í=³›véHd ß`2QÃï±l%²Î{=U‰D–fëf"‘5‹F'”HdeÕPÍLÂì²×]5u†dþŽ€ ‰,W4„´Ù¹öÂpeo !‘%dÊ 7ÈT"K¸*“ÈÒl\;Y¢:Î<Ê6¿|ÆPÇ‘Hd¹ ;2YÀDÂW4„ŠÏ5úG¨ãXŠ~]‰,Q"çœ7 ‘eØd ‘u ¦%YšÍšD–¨¤#ÉCŸU'ÀŸÌÞBù–ûè#ó·LHd¹¢±€Šç˜W' ªyd× hHd Ç-eY†k°V%²ˆâ4ð®7 ‘å¬-¹.æ0kË´õ5- !¢4”$³Ìjií*‡P’Ì2«¥5á̮ŵ,$²ˆáÖèYÔˆ»¿ÐóÜ\õ±øöâïQþ½ñëØÖÇR AñwÑ”?yÈ1qY³V¬ëc)V‹§:5=†* ”dÕuZrK@±¾µt>ˆË P²42>'µÞ‡Ì€’¥WáJæ/ ˜øXp#4ª²ŽU®âc„F•a|hê|ˆBQÂæjÖ" EI²ìº 2?/`b~ë,@øŸc]KOä |£ÝÑ28áõ´¢æ½!ƒ¬Bä„×ÓŠ’¸ ¾­Ç1±¯ï,DFhEe"#´¢\…È­(ÃÑ2•¢f½!ƒ¬ÂCTŠ’¸ ®Å¥·'O;_•Õÿ3ª~¥ž#K ž§} UC§ „oCÎÇÕB#™?-`"Õ·Új«•<í‹øïùÁT­Ø46f•u~Ã1áCŠ«ž³ãÒšcû´€Ú×Ç£´Ä¾­F¹Ëêøõvµ´|öɧŸÇ)Ây"º"­Ÿ™åײR¾ø.ʧÙh¶‹Íz£yP|ôD#g°˜s[8$iÈíVœJ±üô£_kÔ÷ŠïVJì])Ê)°µH«¸éW@oœ挳Ý{Œ•EÛÞvÉÃÐÃzi±½†pï¸vTê¿z\;bEW¯A1›¶nÖùãÑ=˜qÁ,Ïöc”“Ÿ‹¸‡lé냸µ4¨ÝB£›F}ÔVè5)ye=ýÎÙX º…¨rîoö5*û?ÈÖ¾Õ ¶ :«Vý@½‡ZƒmŽvz¨¥%ö²Öj°·æŸ[ñÅh&ìn¤eå6:’ÛŸ“°²Kc#Ý(ï6ýƒ@]*AÌÆ=‹ò¬1±KŒQ*^aÐÞX]ÑExF„ÂivÓI¥rŒ”¢éNq§¸è‡!»¸½òÆj‰5ƒC+™¹íM‚&Ô‰}†áaQño·R:?äJªì&úÁxE8ü›°ÆÕßALĽ…ò–îÌ€Ù¡™——a.%÷¶«o¸§h=ŽúŸ%F46QµkCá+šÿ§ßötlÊ>ég93íäo4ȘÙÞ¥^¢ûWÆL±Æ©¦þÿ&cæŽ"\<ÝqÞȘ©@ê‹S7$cæø´¤Vµ3fºj2?+ K­2÷]Ø ¿Æüz½ç 7J“yå«hœ4™9*W ÄcsÄ£Ù@™§ÉÔ¬ž&“8ï4™š¯ð`HšÌC¿iñ|þòËo?³#óÊ,ÆfŽLWq0"G¦bd#S³V¬çÈT¬ú¤çÒ"Ö ÆŸ³=T§&½]|µ}@—i;¨ÑZJ­Fyš"ºV­«_Å,à÷Ÿ üĸa7 N6ƒV+ºàà×+¬RmÒE± ó[,¾W°qfÒ¼ñÀW–8Óc «–zˆ±Òc>Fù±qi¥Ç|"à+ g;=¦³ŽaDzLKC6é1»†¿Ÿô˜š­›MzL¹»›ô˜Æ‘^zLc³zé15}"ƒô˜–"³ô˜YúÅô˜YúÅ5/5=¦n_‘IzLM2?é15_ÀAz̬¦]#Òcºšïùy/5=¦+çPñóšv‰+œÙM»2Hiø9–kzLÍÖÍ#=fV½ÕÌô˜®ÂÌIéŠÆˆô˜Îza8Ȳ7°ŸÓ°7È3=¦fã:I™Uôó\-)é1]…݈ô˜®hŸkôHi)ú3JiظO©Ù¬îÓcfÕ ŒHé*úF¤ÇtEcÏ1¯N`DzLK€ýô˜†k°.Óc:kËé1-­¯e‘3«¥µé1³ZZ‘SÓ!rH©É4Ÿô˜yú÷ˆô˜Yù÷ˆô˜Yù÷ˆô˜®ÆÐé15idŸ3«Öˆô˜®š…ÌIiøöFé1]U™ŸðRÓcªÏª2M©Y+—“Ÿ4ɉ)¹ãbè.†91]9ÌM8 Gc‡q›S‘ß1Óê"ó^jNLg3î91Çç1FNÌ!‡Çÿ•óïﶃ^NÌ/õ<÷ï5'¦æëØΉ©@ƒâo˔Έœ˜šµb='¦bµxªóÑc¨BI¾&]çЩ…!WkaÈgãv ªO”.¯¢|U‡šÔêÉ×­v³ÁA ž¾òûÖ •“óÊ×Ì=B''çuñ8Ï99³ŽÏ99]Å爜œ–âó½w´. ˆ'ûØÓ^Fù²5Ãc¥]@yÁ}l’ù+âq›|v“˜^¸ŠM> Ì16ùš ÇŒbóHƒÖ%Å&=3^o'ÑQlÒSðz;‡9Å&_dä˜WlŽÈCšulŽÈCê*6Gä!Ո;·×Êõ.&"•ìóeb"RÉ>Ÿ«ø óL¬|;‹¾ Î8Ž~ž;gNñqJþX‹ú¿˜?~|œBLœr§§òSˆ ŽyÅG1QÈ'> ˆ ÞcåÜ!8ÚM-„‚×»r)œ¤Í:@ Â#ÑBp ôwó&ö5œˆxU;‡×Ns )G˲ëTki_>©2… ˜r SðÊ©|d AÁ1¯¯Ñç §§ó Ó ŽväÔn£ÞÞõw”'Y§§=©XHV!"œR•‰…¸ 2YÀÄ-g!2"ÃCÖ!ÂÉ7DÄ$<|„ìÓÅÕøài-~„ˆY5rü!óÌë#ä,bâl>ñq1q6ßø8‹˜àh7>¦Hoj?¨îí+ÉY¡Ã•Þ³^/#Õ‚—ÛJ/áóZéF`Lç$ÓŒé|ƒdÁÑnh)NM#$g½Å©¬Âc!AxÁPœrd~N@<ÎÃc!1“OxÌ $fò ¯aÕòëÎkFxαf¼ÞZŽs,2Q@í9–Ôê8Šlç€ú'*€~gB@<–*Àº"›«cîd~ˆ"›ÚYŠlã1JccVY#Ùœ§V^ö†*²)ò¹gÌç8Ü1æ#þí‡$)/´wüf«DÇ¥‹ï¶Þ¶Kìhëàp¯'tÝj6ÞRRû~oÅP—í”?È.0Ç]³wæÜ!»'dÎV¯Qƒíœ×íÚ i]]bŸìûõ½€ÑÔ—5v{Iz´Ö„ ؆ /õWÑÜZ[5S3º\ÕŸŒ&Š‘.Å('…FãÞ!Ây”çsðý2ls´ãûl‰}K {7-Ú ¶[}TâËÑF‚h e–ˆ®‚ʪÕ}ô®>–ѲçÖj‰½‰ ê¬×ÀtÍ3LWßÇze(ëèÄÛb6Ôù®ƒ#¡ÐW;•‡°ÍÑN¬,,±—•Ê`Rdu¡¹GàD¸€ò‚1¿;ýABÓøxÃÖ®¿Ón4‹;G5Ñ_K3Ëh þígã± ©µãׂã¿ü±Rm…ÿh;(Ö¶iDÔcð'ü åÏrðPQ3Íž‡¾?X§Ñ ü¶­Ñì\SОvË“!»mM?)6iî³µS|Xz¬Á~Œ7û+ÛyCs]4ŽvúÅû}£%YBŸ4Âöå1iG©¸ šB2eƾKO˜ú B¦`‹R/Ÿ,ñÄ|jËßÄrZÈ´Jl»Ó¦ì,”cÔo+¿‰ÀÞûåOŒßäÞRÏ¡)/[‹Å‰½[q"¡aRÓ¤2ÞKBaoÈø£Á Œ¾+B?9ô[açJ‘‹ÿV$iÈ£ZX\ K­HosqQG"Tøhô>Bù#óY!ësoõNâCPù°ûؘªwB•Xì$`¾R2_DÉÈûá¿Yõ·ÃÉ^+XwÔû…—`Jhovº¶“²´A>yp¸·²búE÷1¸ 3lÓùÌN_Lõém‘ÌîF‰…ðpë2KQ’äðØ›V™½mkˆ< ½˜ÅùÌÕ%öu³åÅ¢!†rMÂ…Ô½äS°"´·ôð{ªmΩ¸HU¾8¤bã&X›`-lŠhIe‹=´o›AE£„Z’ ¼çõ%pÖ‡|Ûíô!sKìû°õ#=áp(Ç?Uï%•ÚÏ@‡peó”OOc‘ct ]…;Þep_H.ª^?eBaRl:Wg±\_8Ã]Œz2·ŽüXc¶û ´íÍÕ?Ó¬a]᜞ÝS~—_€ÿ/<›]Úû¢8¢iÌZ_X­nõ˜ÿ¶9Ú‰ùõÞÇE,DpÄâSà%Æ»Fâk½cKÊÄ ²„¢‘!qÇ»"_8¡½]‘+ýss^ã[Õ ~ R„B ]C‚‹ƒ]’þÁ½5šüÈ.¢¼hLô‘„häÇÔ嶂fu—ºÜƒF½±¸ò1ÿ£õ_ƒ.¡°¬§N]j¶ðºVm;àG;¶ÉÜ7V£_½"ûâ±VÁ;ÿà°ÆÔv{鵿uSi›àßâ­9j×€ïPµkCú[ò3üßÞ§c“~#y4~v6ù_ÙQ£Ÿ¦všþÙÿÖ}F”ßî¼74¿]5õ:mš8:½»ôv/ÿ×—OÿÚýy·ÚµÓÛé×xXSÝÿÇɈG“‚”FäϹòFü¥£ÏëWÇ£Aê‹SǯñŸCY«v¤VO¼ökU_ÖýO *&ú«Åu«ùYñXj•«ß… Âk~=ˆN›ÁN;Ú¥UNùÌó.¢¼h±ÚÕvM=ü¼#¡DÌÃU;ñ³…ñh¶“ùYµ9ÿ4«åÿÒ Ý¦ˆ-êîJdß²$‰KÑGpµÔæ;ZT_“ÃIö†4_ÑÿºÂ7} Y¹\VŸ¥ó¾“¡Ì,:~§å便ÇÿČ̕ãóDóSEÇŸ3¥#^5<Ó{ kÅz† Åj¡AÖkÊ{„g¦‡êä\Ë{ÓßÍ%òÞš­«)ï-æˆÈ{k ÍRå uyožç˜óúŽöH©Zdn(‘÷66;$1OR!‘÷Öô yob°”È{[r}yoâµ\÷ä½³ô‹%àCo@Þ;K¿¸|ä È{ëözòÞDb(‘÷Ö$ãPÞ[Ì÷!‘÷Ö|òÞbšÉ ±{ÈaÅoÑOz}7¼\M¿Èü¼€x\Óà‹kíLF­_—¶4íÒ‘÷žözw%‚¾Šs®‰£l彉ó P"ï­Ùº™È{Ï Ñ ù•¶ÛÙ÷T3ü"ð2ÊËîÃÌß0!ïíŠÆ9T<Ǽzq93ÃÞ@CÞ›€ö{ƒLå½Ïÿ%òÞškGÞ{L8²Í/Ÿ”觪˜„Y‰¼·«°#ó—L$¾rE1Òż¢_˜ fýºòÞBr‚è÷ žæ¾†+yï9˜"Üðä½5›5yï‹hkB£µN€ê2yoWÑGæo ˆÇ5 ¡÷͵îüfØ hÈ{ eòÞ†k°Vå½…Å<™¼·³¶¼Œö»l¥-ÓÖ×´ä…i²l7Y-­]†ãJ²Ýdµ´Fæ&öÖ>²÷&†óÀMo@Þ[“iFòÞ ðiBÉeØ<ý›(ñÅyï¬ü›Ì•›Þ€¼wVþMæŠÀgÞ€¼·«1”Ì?0!ï­I¼·pàW&ïÕ ‹Z‘Y>ÛÒêíÌš…Ì_0‘ÛËðíÇ“÷æ·rÚô'óâÑì©NšÒ¡Í¶iñÖÊYƾ­Tk~“zwEJ×Ð8„Ââ¸å¾¼íðЂ©½+ÀE”³ïÏÉÜp e›Ÿf)ýù5øá-”Í?ÍŽÓMUW% ·+(¯ä0—¾Ÿ$Ìp.]=è^R¢6t8—&s Ã¹4™›Ú›KO¤¦VëóÀK(Û;½qæuœuá0% !¿évÃËu\»hàh6®MxòÕ‚©—ݯE~Ì‹0üËSº¡ñ;fZ] ~ÂÑÎæ³zgvsÓ3ìÌ¢[ÇÓÛQGØSˆº½¦ñ׿ÑÏNþW⥵¯iœy±Ó¨×ã¢Ä¿ósç"¥×qçâ+=Ï}Å:õJÐlµÃ‰A+ÚËÞmÔj·´°-¬d›ÁOj3¨ˆ?¤ã9Õ:ÛnÔ*+ÏLînüåß¿ŽÖe…÷Lôâ 4(þn™ÒAŽß.â1¬õÔ>æI»'ÅjñR}=å³ùª€P’¤\×9tjaÈÅZH›q*«œK&””ǧ%µ:DI™ Î%ú††S{>2W.xú®º 2E@<ÎcS¼d’Cl’ÙI`Ž±IæO ˜Qliк$ ³Ø$ƒ3@‡±Iæ Àc“Ì_0¯Øä3›ÄÔÂUlò)aŽ±É—}9šÇfßÛk©œŸ@LJ–h²Šˆ BÉ«ø ç¢€‰ gñ!\:Ê#>„˜È3>N"&8ÚMg|áG8ç ˆÔf '½ž¨öEo@¤ÖU€ùyëB΄ï–ñüŽ„_‡çÞ™S€œ’?–äØnµVS Q¬jÖOË*ã/F²Þ­­ZÐnÍÖáxþ»ÛÍÀÿs‹Ì¨×Á¿á½ ÿåש©Ù¡ÊηaîG«á¨Þ-ý ñX«‚!ÊÎ|jñßÜTAÚùÃÿ†·æ¨]f4|ÔGíÚþÖpeçmØótlÒod¬ì,ê k);ŸŽþ7ÕF­ZOk—1´Ï£,ì­yv“ÙÖv~©[çq]ýsª;Ïö7ã׎¢œÌŠÂ x4hXvsêõøýÌY¯{%P˜ÔêxúÎ’¶®Ú…ÌÏ ˜¸ÉaØ.g~5I´ÿSVdÆo®NzÝóz”Ò0ã:K6D\5 —rà˜¸ä¯Ø0c§ÚÓtÖ¬–{tŽCw¨¤³2c1µŽpøØñSÒoæêÒGXÈêéÇ•F%úBi7«៿ûæûÏÔéó^3qäÊþBDŸ¾1ˆ¨~CèêN‹ÙP^°Ÿ£t§ùåúÄ|ÑU|ò1ƒcbö¬Ÿï›Ò‰z[ºÓšµbýªbµƒcÿ©Š, f Dòl|fž,gøä«]ªšž÷º¢f–†ÞcÔë¨Æ4Q¹ ¼ŠòUJ)sÔ!·Zg½žpñ¬×'\¬é¼×Y*Ž+芣å8`ÔK#ÃZëðÊÏlŒD*þ"]úc´ÂÅ×£Í6¦î^¢b®Ùð'ÍÛôùË/¿Uö/â²|Œòãìý‹Ì•€OP~bÜv©cú°&y ÜDyÓ˜Ç%Æ*úvÂÇUçÛ¢Ž±dcÖ¸mF¤ ³‚®ëáœÌ/ˆÇ5 ¾”ÄÑÎäƺŽ±¥aüx4Õ VžEù¬ö8žü0º[ÝÅ´X=üZ­ÛGïûoÝÒiüá&ÊæÁÿ<œÍû¥oöYq;Ø%Yêè;ªÛ¬D#ÈbtÈ(œðÓo§„GÚX"Á®ÿ”z:ò„ ;l6MúŽŠvÔ0Ö;ÛA´¡ÖØnÍ7‘ŠlKYbàHŸ³úYTµÑ^΢ÜUâ&:ðßU:ñ®jï|| £lsä¡+MfŸ l>r*w‹dþ©€x\Ó˜EÅsÌ«wR³ëOb5Fƒ\Áëåå,x}»ÃŠýsRXò Ë\<-±N+Þƒß ;†v³³Ó”¥q. e _ ü¸uO²ø ¢"aåQ\i1˜½ËšxÒç”JÄø3ßCkQŠ:™™ z Y9ˆiò.£l>;=ÆM‡X¾²Þ7ò0‡˜ âÇ0€ÔÞx­×Q^wã\Éë!ÊÝøÅ5à#”™÷eöu½v¤Úq‰ às”­LÌêAP‰%¶ƒèp“ŸoŠŸ.ìUë;µN%Õoßî7ZÊ“Ub8ÜDyÓ˜é†lhÑÂÿˆ ¿¶K¬~»ø‡eöm¨ú·0X‰)¢ÿü›(=>EYkwOÍ¿É\¸‰²Vó©ù7™+Ÿ¡l~L+ûüsñÒ¸Àâ|_t ¡hC.Þ›]ŒP›aÑøƒYUÔÛáø¿ëf!óÔ>ö/µ:õº;hKlPÛ|i+§“Õd~B@<ú³*3:´â6- ÃZ™aL¼£JJLò?ƒòŒ579óº´všÕÃQeXäYüsr”"œƒ£±£H§ßS/»ÓE~+^|¼qÿò”grçmì+<ÃèÌ hg7G}¦}s×3œiG7_§ÌDƸ˜zL™_k᮲½úú׿ÑÏNþWâµµ¯¾žy±Ó¨×cEœâßùǹŚ2izÙ-Ö_éùî+Ö©W‚f«í×iŸ{Ÿ–®jµÆ[Z+>ŠÍà§N”ÜRø!íx‡½÷v£VYyfrö”0~­ËŸï ˜èÇhÐ ¬˜Ò¡)×”€x kE½ƒâ7ÌŽyÒJ±Z<Õ™è1T¡DtO×9tjaÈ…OÅZHû`|ï­KâQ§%µzòu«ÝlðÃO†g€Âžµ%é=™+P^pßUù+âq›â¥Þb“ÌNsŒM2JÀŒbóHƒÖ%Å&œ:ŒM2Wæ›dþŠ€yÅ&ŸÙ$¦®b“O!sŒMzN h›}oï×÷ÓŽ‡ Í%0”ì d|Q‰P²ƒà*>è¹(`bMÍY|ˆrˆ!&òŒ“ˆ ŽvããDœ|Q5@N"(NÂSgt=U-@Nz=ùù‹(›{¦r€ùy+C΄§ôà95Ï6Ľ3§9%,È1J-©§HŽ•T;Ï*€{<ðl¦°U¯¹UØæhçÀ×lWéÕ+h dgQž5&©ŸdvóóV&î”F7¦¯¡E²Ê„örüª·ïCØæh§}KíËÿü§*)™÷£™RXƒ«êU÷4 y_\2¦|SFy§ÑhV~Ü­U5g1€Ô[ZHLc³”·tظkÑM ! z¿M ûÈnÇ9Õ›x ܶrnâ`›£&þd‰}'aÕ8Å3åéòù»«T[þvM#¸?{ÂOPþÄøM®'[Q.hõfÿį£|=‡f Ûí4ûË%ö}+`>k„A4Ù¶_¯ÄÑM½Sk´ÂB@‚íVÛÝ„³ä&k+©wBRßãcpÿ¸ÿ ßãZ²Ñã ÿa³—7ÔÛ\pF1—ƒó6ÿ¶9Úió…%ö²RÌO©.:ý8. ¼`£+úªÑ¦LH~»ÛÑIv¿ÓnPþ–(‰f¤_Rao÷ƒ:óëGÂûTÕßäs°ÿܳÙ^ #+žþ*3úX +ⶇE.îF MÐÕcåçàFhoX\ÂSøžÐàû  ù2ÙŠ1ßâh¾oZ:tŠ„ü&[Ñ]ÿ@‡î ø…Uºê=ç—°ÍÑNÏÉÂy0e˜ì]° 'F»Õwa7݆W¦ùKP#d(3cšÉÖEË’<íÑÓÕÅÿ ´ôðáãÇŸ®1þ | …õƒ|VµÔ•«¾eB«ÊUݺ}UìÕ®zõþ œí­ê‘ôkØæh'’îዲÅÞ´Êñ"KµîÓ Ïó´µØýøÊŒ¿KB{ëÑ¿àßÀý™äZ¬±³6÷6D èóånú¹xö²Ó88ì´ƒŠú”ù[¼¡0˜¿Ð'’zï{+·4ßúÍJØHìëHÖ ~Ç`w7ØiÈŸ—úBßá%¾³úBóK¢C§]«Ítý…Tr߃á<ÊóÆänÕªÛM¿yT<¬5WÂ$9ü ÕbÍF§^ù1œÂ*Sý è ) ©>8÷ŠoªöŠŽÂNíM83ÿø.,6CW©ï©÷¼¿SÂ(?0¯`Æb…rbÆk´Žl5ü Ôè„z¿³ZÁ³Æ[J¿ÂY”gÍëp€XWëýèÇZcomUƒê@ïVëð¾Œj¼Xue‘³.Fœ5æ6?€'á}”ïsþpŒêµù¯ÁœðC”?Ìa ñGØæhg ±¸$&'iÅ;zðF§ÅÞ©/HþÈ.¢¼hLôy¼ÆFÃfÜAõV*ÂA þ‘(D7ö±ì¡ü?‚5¡½$õâIùQà7Kl»SÙ£<_|BŽÂx›ù¿.¡°oꞺúˆæƒ®o•ú²l@‹_dmµÄvka?¡1¦mƒ á2ÊË:d¥f ¯+a†s„¶Ätæv¬vêÙŸµ*ÞE{ž²ôU|4©¸©‚´SX¼5Gí0£ 8j׆ô·ä‡ùÿvaÏÓ±I¿‘<G?;›ü¯^ªå°ypà×S„2…iú‡§éþðoÝW‰Dé….z)B9ñ¿D·EÒæ7Ÿ}󱤒è•øMÐs(ŸëU’g7¹ÐËÿõåÓ¿vnž\è#íJ§ªêÖù?NB¢º0*!ÑùòVüµ£(ÇÇIñhаëäÔéñ[œçQÖª©Õ¯ýZÕ—¨‹ OúñæªYȼ˜S¥f™ù2l{4£ »²"9~Å•påy‹mÓ®¶k²á'í!`•/¹o2/ '¯ª)¶ù)éy–4«åc½à-b:œî~õý—_vgéñh15š£Ó¯jLÑÅ”<’‚š/ðˆ…ÿëŠ „ôª• üm-†Œ÷oÜ릟”X¹\VŸ°ó.”Pòua –¿—–ÔIœ$&g®B'¢à˜˜ª*†ÂeS:äùgÄcX+ÖïY+V מkðãÏlÕùI°ï„¼:µ óY-Ø êÿ«4ý·õ»”Zyþéïø³ç^WëÏy㎸!l84z#ÕnH¼¥zÖ47솆^Žå·•§Qž6ï…V4ZdF@<ÖÞ~D:ƒ)ü“^ßw˜«>˜ÌŸkâÍ`{#’zxòk˜üd6}¯¦´µ ¦&“¶VìxJ[áY DÚZ³u5¥­ùº¡DÚZ£–5±†´5ápÞ¶6îˆRt(§ië¬zÿ³± F(‘¶Öô ik DÚÚ’CèK[®×½ië,ýb øжÎÒ/®yÒÖº}…ž´5áP"m­IÆ¡´õtì‰Jv 5_À†´õ ØΡ™½…ò-÷ÑGæo ˆÇ5T<Ǽ:+°}Å˲ж&B DÚÚp Öª´5QœÞõ¤­µåU´ßU+m™¶¾¦%ýK”f€aŠ¬–Ö®Âq…)¥5³)Kkdnhoí# ikb8Üô¤­5™f$mý>|šP"m§¥G@‰´uVþMæÊÀMo@Ú:+ÿ&sEà3o@ÚÚÕJæŸ ˜¶Ö¤aAÚúœ“PøÖÏz†EãÏ$ÌòO.­ÞάYÈüE2<†o?\Úš+‹\÷lN«”«€ÌOˆG³§JN^”éÜðâI G<†µòŒÅãQt÷Ç'=Õ¸¿§k¹õ°ŸîDóõÊh™ŸdUåÏÐ’„öNžeŒNB¶X±¥>Ý Ba£ÛòXÌÞv0{¿+À%”m~ä¥ Hdnx e­<µé&œšð6ÊæuÇC?V>‚A–wQÎãc`NI˜ÝÇ@¬¾íokx(›. ¼½‡’¹PøÆÌÚCÉÜ$Pø<0t‹«ÑT%þ–%1›åmˆ:µÔ¤ Úã}àc”[«—3¯+Ak§Y=Lɶ~Ê×£r·—,ÍÆ퓦t¨a­¼ q; dp”måm#ü@;jñ…Ïj»ÌØïÃQœ¾2ƒjäYñžé‘Îfˆ°Å(f)5ŸyTëí ¹¶y.MòzºöMeÊnÇnRU¢¿x»_ÝÙWå¿ Î„öfYH÷Ù#Þo)»Ôv—Ë?V§ÃáÌIùLð‰,&w6äþˆ±C¿ÔB7yY Û î·«o‚ÚQ)šû‘×´:‡‡µ#æ³Juw7ô³z[•¹öÌìºF^,Ñk¨ß üýøeBקÅu?ÎÈºÛ ë?|?Z¢Ððù0&”¤ÅÒdÏãw¢± t+xG£¿¿ f„Ìëί-õ÷§^ãÓ9¥W#k<±TN}=™ŸЬ¯§ÿZ:ƒÙ]¡SäG‰œ§€¼®´•&¿äí-Ñ‘yñ8Ÿ×Þ‡ÇÜ÷ çµÑµïãC?¼†ÝˆM½äcÎ?î•í½ï¿þ~vò¿o­}ïûÌ‹F½«â|ÿÎ?Î·ÐÉÈîp£çº¯X§^ š­vø‘ØŠºãÝ-‚DIoY¾Ø ~êT›AEü!ͼÂa}»Q«¬¤æØç.øPþƒñëhÝ}~OÀD7®@ƒç_0¢Ã¯øpLÌ•5kE½âW>yÒþI±Z¼T_OY>†* ”Hïé:‡N- ¹ì¬X [4~íp?í€éÐ Ø3@ÉäøœÔz2WJö ]…+™¿(`bUÞY|ˆ·Èsˆãˆ‰ãùÆÇqÄG»ñq"N « ÇÇ=©4eVrAqÜ“JSº 2?/`b‚ë,@øŸc]KOä |3£ÝÑVÿ>°8áIÕ¿³ ‘ B‰ú·«¡ç²€‰´ÎBD¸MšGˆa‘gˆœDXp´"Zêß'„³Þ€úwVáq!AxÁPÿvd~N@<–Þ~qc~üAÿ[̨x&0Žx,U€º¸ñ}TMÙëÓ$ç|\­4’ù3j绡߲"nÌEâÈýeeª[ GÈwÚͯÙÝ © 4­ÀÐÞ ¥Þ´Â6G;MûÁd}kþQï WëÂÂÖÚ­øø e¡rm,…]¡b _âÒ ÿ–z}—Ï£ƒ1Êì^‚¡½„À£Ùj¬MÉÛ½…,ÅŸºÆ5KŠK-ö?˜ î¤ƒ-¡04dþ»8GzT¥á+ôÎÿB¢Åµpnµ¾>!>\])úyø£ðÿÖÂÿ æðŸ­Å?Öè+>Á+ :M†¯·:jhø ½R· Ôi ª„«(¯ê~O˜ª=ÁÍ}fµ·PþH&óš}$Ÿ6¥ó¹ï·s´sNU}]Xü@Y¿ZÒμë_Ê ^3ÀË(k% ÇKÚ‘w2W. ¼`Ñlʪ,™›ò«iZ'íû¥èôã~£YýK£ÞökñššÍ|XS\®¡¼–ƒËŠÚÏÙ¹¬Á5ŸÃOî9½¦ñsøéÏ=§×4~?ý¹góšÆõÈgã¹_%Ø ±Â¶é„t«Ö8T>_LÜÞnzÝË¿†Ï3ºíÔ;!]RõäWð^BÉ);Kž|&òäV°G7@5^÷zºå×½>Ýò¬\™Ì]ÞEYëF˜š+“¹Yà=”ï»É™È•ýèz´ªã“ð ÊOŒÍ‘F=h†CxØlø;û‹ªÌ~%œCÙ^žÚ‰ üZ«‘2u"k\õ=§ %™ŸPBiDc„æ¼Z;Œ¹IÈÿ÷KØótlÒoŒ%ffIWk¨–Ù…”¾ó¥¼ûq»ZOk•1”̦Qv›<»'Úm+™} Qã¼¢þ9uÌfzÈÛð[Gþ^÷÷bÄ£AæƒSoÇÏ,Ì ¬U9R«ã©˜ µâºQÈüyñXj”ÂÇ´ÜIk\Š´&ÑìˆÊZµ“Ò*ãè—I&²®Z…§ËåˆG³UŽ/”8Ò¯Y-ãA;\½Œ+ oûMCí2aÏÖüävYø*;^,±·ÕJ{?üÁjy3|fã°«_¦Ìœ÷š‰ 6˜7«{ûíž²ZØœw\åðªuþGeæâ)M{Ì/óífàÿ¹Õ%ª¥ ÇÏÊA#*_¶Ø½ŒÒ„+xÒ9®«î%š ˜˜ñ+v/%S:´d|FÀÄ9ÍZQ_õ‘„áY³Zè_NTx¬i°+ÏyIqÇg'MŠ{—Fê¸ ˆ³A”Ù§=!8¶öàá*²-¨¶îiX$|ò ãÖ½va~}/à) 4TD*I¦6ÃN õ9?ŒJf%™Ú\õdþ¢€‰;a®hðofŽvzDõØŸ†íi/ËØ?^Ü ^/}Ê–"ÿÞËvǯñq•G?ûº-šÄ]ƒjãÙó^Oç¼×—¤Q³qÏÄ«Õñ E‘Ñ švÆë‹ÿ¬cž*`fÏ¢|Ö}°Í€ Çi]G2£qÏ1¯˜>ð²Œy-G%N!|Ìb>ÉéÂ×ñô>£Ðü£f"Á¨ü!뜄Ó.¢HÂ}Öû«¨Ÿ*è t´Ëf€/P6ŸvÝf]YMôKyopN(If“Uo@53éõ”³&ct†dþŽ€x\ÓXDÅsÌ«7X‚í%/ÓÞ€Žõj0+í/q”¾ƒhPNwXcûOÁNWž'ôÐÿÐ×z! ×4„¤8¹˜(•]€âÇÓ5Ø€ç<Û'M—(ȺçýÊŸ:­6]èåq¶Ûhê(]n ¼aܬK,_kþáa®&D [‘LXÑ Vš3MRºTïl‡óãÆ.ÿà$±Håëð{„Ë(k-¬ªõƒdnxåRÉ|Q@<νxž»š©Ÿ¬õVµ}¤A®œñLO³L$§Ì 5àÈ%ÖÚñkCsc< Ü@Ù|ç\¬ ¾×ŒrÜ7Øš"«54ìZ÷÷5—ËÔB*af…[Q¦¡¦êâkhŽx,»ø‰ºNOMœ€×Q¾nÍÃß( î~]½«tB—WõlbxøeóõñI¦ìÌëpàuxÔ{1fíÌk¨c2{ åcî™Ìeg>U×ë°‰Õ &§zß6RV7@JîÐZŽ4|„²Ö1"5GZpeó!ByBæ ˆÇÒÛŸx­ñ¤|nPÈ>ôrý{ïçˆG?ŽÌèÿM ˆÇ°VÖûeµÕ¢­!,¹ÑQ±N“¤jG¬U­Å:ÊTRÅÒh‹bHÂ$Ã’y] Z;ÍêaŠNÜ#X|œ¯+=†ûp4v%iç7õ²»š«Èn,L/ ¬Õ)O`Ì3«.¢1/ ç_>¢à“Ñ—O”ÕôxÊ‚ñ¨¤©÷Ùpæ<Âi/ë´¦ýýìä%ÞY;­é™;z=Vxü þœ$¥) ÛB#KRúžã¾bp²Õ ݤNÇ}÷éxA­ÖxK¶°Sl?uªÍpÒ#üzsúdmÔ*+Êëhïu/–W9çõÉ«h¾ŽVzÏ÷Ltâ 4(üŒÅBè‹bJÀ„Xˆf­¨÷NÇPÇ:iKC“èΈ'ëØ8Žx8Žÿ àõ­­ºŠ 2^@<–Þ~u÷ÄÉuð¹ÇÄW˜a¨«»ó Û›ð‰É]œ’ù)óµ/t+êî\ø™Ü_Æc”ÆƬ²žÁo8&|HñKyr\:CfO ˜PwWä3oÌç…×K’kÆGüÛr«J‚† ±IRuo‡Åµgk«%ø;”ù{ÝPr¶ŒrÙ˜ôm¿‚ôñ;@^ƒå`FxåÆ,_.±ø«R7¥zœ$£+¨õƯÅß’ÈTLÚ¬è—Øö•ßãCp'|‰òKã÷xÕö½^2~!üZ"‡}â-wµ(1rß«·ËGxÂW(¿2~ŸGKìÕn†û!Mñ5…:u¡úeÒÚšÔ¡Óø£a[|Œ— 4±²RǦµ·î¼t t'7Õ …îd«é·«õ=^åS°#4ºÍÑÇtæ@luV\ž–påcVWd^¹µZ^Sgø9X ù^ .÷3Œ²Yoµ‚ŸŠJÃ?Š¸ª“ue—Q^6&»¶ÂŽÕd«­vc/–{‡_{?âzÄʼEqQ£Í#Ãpºu‹áü"ÒXßá åzµM»ß«¹Rt™Œ"ü(ìËeìn먅ˆ /P6?œñA‘T݈/õL}Î+cÝÓh!GVWdá"ƒ„ÂtÈð%n³È‡·é]KÝ{}[‹Õz;¤¾¨s¢ Ñeô>®«ÝúFU£r‹áÀÙè4·Â‘³Cï°[­Õ¶¾z©Nû— J¸Šòj!÷ls´rÅ%ö²Öj°·æŸ[ùÙ¿Yõ·uzª¯A‘P¸gHwE:ÖúþÊŠÙû+p$\AyÅ<’~Šé†cõ«-Îœ¨†ÎY­kLê~ ~¿6$©ÙÂëJ£Þn­vÊç,™ûƪªGÙŸP{Ù!¥ ø²Â@¯ý­›*H[xùoÍQáňÆw¨ŽÚµ!ý­á¯ßÞ§cS¶F?xµ"7ª%ï:Åÿ™õJZ«Œ!ðzås½òìž„°-ðª#©Û«ªN‰×ó=ä­ø½£'³³âÑ a×É©Çã"¯çQÖª©ÕñD^…zqÝ,d^<ý†ÇR³¬~BçàYïÞRc»EkmQ~j5ƒ¶_ßëÔüf”/¸¬È~ Føå'o-Xá8›ëÆãÛ\ñh6žù¶ÉˆS#šÕò¤§»^K VO˜T<]À÷Ê´œ©ýÓ¤l÷ë·§ÈÞbW»Ë·ñÒ¹–p)ïdù¨¶O¦ÄÂ(áR>SHÌÝ\Å™Ÿ01“UŒ…÷MéëŸ0!\ªY+êGf h‘‚çÉŽÌ(V %’ýü1òd fü‘äkŸ™'ë¼î‡cN@™ÚÞ„CL£Éöªo¨×èDQìEg8ÕÅ £µxàs”Ÿ7îC’m¶£%Ú"Üo4« ?¢Ã?VªÍx[¿E):¢¼WÙ¶rÎ\~ŸßyhL|ŠñNÕñ[”Õ¸Yê³Rrb‡én¥£ìºË: Ïçh§Ð’{}O@;¸zWÅ?¡ 3ìª4Ô3„«üºªäEŽÉª²zá ð<ÊzßtÒ*ÒQ"¼ ¼ŠòUJ)¡œr pø>Êï;ï™´"%“ Vòöªjp^>Fù±1¿ƒžŠj‡;¸šöú¦Yw¸„“0+òwÝÓ‘ùÓ&ŽQ¹¢1ƒŠç˜W‡{¶ ³ëp5UÎyÝ#½²Š}®CAúY DPE³u5U„?™ ŠÆ@!M$©.¨B„æ€óÞ€ ŠqG”’šÌM{=Ѳi¯ïIV£”°°(TÑô Ab°”ªXr}Aâµ\÷U²ô‹%àCo@P%K¿¸|ä ªèöz‚*Db(TÑ$ãPPe6öÄ%‚*š/`CPEH7(TÉjÚE¿4 ³’Œ§®æ;8ßE<®iŸë´K”kÎò;W]ˆ€€æß¹ FÙ ªç DPE³u3T™G£JNÞdÕð€Ì.£¼ì> Éü‚*®hˆRÊyö¢vm†½†  1*Í{ƒ$£,U„Ú2A•¬ì2‚ŠP"¨âʳÉü ‚*®h,À™9æ`W`ûJ¦¦+¨ruÅë[ò°4äf ¨r¦%‚*šÍš Š(,¹‚“U'@õ2 ³·P¾å>úÈüm‚*®hˆ‚¾yv×`ûš—e' !¨B„ @‰ Šá2§UA¢8 ¼ë ª8kËëh¿ëVÚ2m KKp‚(Í/x‚*Y­^]‡ãÎy‚*Y­^‘¹I/U¯UÓ!²T!†óÀMo@PE“iF‚*7àÓ„A•<ý›(=JU²òo2Wnz‚*Yù7™+%‚*®ÆP2ÿ\À„ Š& ‚* ÎI(¬pf=âñgfçPÖêíÌš…Ì_0!¨bøöÃUN¡¶oz6§UZÚ¸âÑŸU™ÑYôâI G<†µò1ÕSìªÄ…ϳcyR«£²ù.Ââ­|鈣±3YÎæK_PS^OQ4‘ÍW‘_ò˜ruyílª¨ÏÆ—á1Ëžál|h6ßÑ÷{ÆÊç{ÎËúÛ¿òùŽžW ŒìFÚoô\7×|¾³À? üã×±ÏWÆ…ø72Íç«Y+Öóù*V‹§:Y=†* ”ä ÕuZr3K±Ò¾)mçóŸ–Ôª~>_Cúù|]ud~H>_g±9"ŸoÖ±9"Ÿ¯«Ø‘Ï×Vliк$ ³Øó ;ŒM1ŸpŽ±I毘Wlò™Mbjá*6ù‚0ÇØä‹-Íc³Ï*å“Rýž9 œEy6ûð8 ¼€ò÷áAÏœ€x,½ý8é¶Sî9»ª€÷œ +@=Ýö2ª†v*r¼KIæϨ}—’~ËJºm~²ç-ÓZVKccVYEø Ç„9ϱßá¨/‹ø\6æsîóÿv¥"ä™­TýƒF½‚ìs;~Óo—Øa³ºh$E•íWP^1æ{¾"$Ã[¯h¤Ããzï„’…^QzT]^÷Áå¾U^ê~V†mŽvVÞ?Yb¿ot¢ýóF=œe×¢Õ°V8¬ñìÖQòƒí#œÄ>¢%2úqw‡CùM€=á'(bü&W–ºi¢<ôÝ4©kt©WAŠP8hJ0"H貶ªî“k µæ‚àC ‚ë µn• zÐdƒfe‰}Ý”„Dœa]e¾À‘Ð^ç¼<Ø°<üNq­ºàêªÆH²‚„ÂÎN–dË!Û -²Að±U²ê)$‹²è‘W#Œ.ýú¬F¹‰)kM”»\™¡(¹)I«®ÉpëMh(úAµÞÑÜŠ&3+%Rˆüá6%¯ÖJ ¿ Þ„[(o¿ÃGGÒwˆgb‰wà?¬õ½Èy74ºÑg NøÊ¿F)a‘Ÿ„Éq"I—w%FU¤gÂ]JqJç<΄ëãììû-Y”dY™“à‰bCN÷âŒÏÔfÝ w½/†8­zÔЋêiî>KBáÃÁñ-ÆÞÕªQþˆ†Ÿ0NŽú îx‚!?b~–þ“ñ+—õT”\?ê»Ô+]ˆt‹óãL*ý%è½4­t©Ù¡yÁïÂÜÇV\½£!ûj¯¤TÁ¼à|†È$§ÃXŸà­9j×€ÃNŸzñŽ‰ÃÎ;‰:(ëWKÚVÝi>ïªê\Ù‡påkž›z@›Ì€Â6kfSö$ÈÜ$ð*ÊæÓÚKÑÁè°îý½FݯÑP×ÈFA¤Þ®£¼n­Nhå9ðk­FJ´g~îåÚ‡|Ž á¨ß‡ÑUšŒjCú[õ¸Ò’§c“~c,mK™î‡ª \ÕWUí´†C^à<ÊÂ*¬g÷`¦my—•ÖÕ?§¾Àly3þÖQ˜“Y1Í –Ýœº=.00‹²VýH­Ž'0 ¹ãª]Èüœ€‰ {Ãv™ÿ¸Z¿áhÌ'ÊÌRVä8‰f!¼†ò5‹M4ŽŒÀu”¯»o"2C@<šMtÒøókÄaUÍj¹×“¨šÖeÆâAFÉšŠ&ãû$IƒÅ3¹¶ ¤×/& Ì™wš‰ QCÎkÄYX5‰+·Ñ¬îUëÝ?ò¿\-oªóÒXÊÔ+5yßoÿ]•–Mß…}´÷T>5*š_Ö#ä+w ?aî ëí£½f£s¸8T™Yù ™Eù™ñ \¦¨ûåæA§–ðÅ( Ù”¬õÞ£„/xûć…«Þ›ÌO˜øÌR콟šÒ9# kÅz6yÅj&Qý©6Ñeh+x½<î¯/¹ñøä¤YŠQrcêÈ(çfØïúµ%7;5VDÒº¦žú‡p¸‰ò¦qÓglñhQ‘Ê4Z”P|-ÅüXyÌùÌé„û'ó'ÄãšÆ *ž£ÐzsK¡~"žhp+§QžÖŽôäQË;âÌDˆm| ÝÇ_©6,ýÎyà”Ÿ7ì#Æ—RiBÈ#=îåbDw·ú.¨D½U4;l±b­úgåD/çÑü„ÂÁCæ§{Ÿ+Š„fA‚PP»Éº£:;Kdö Ê棰rÁG Žx\Ó×…òì¨æ`›¯‡dÓQâŸ_ì ÀsÞ@*BÅ®*™Šìøo÷ƒºN…]^Bù’v…©õè©ßDæ:p å%R)!²ÙEæ.o¡|Ë؉çY8MF‘R”pQ5ÀˆÓmà3”Í¿o3ž*:hÑI¬êAç 7B”Óq)1û¶$ùr>.EdJÀ5”µÖ4Ô\ŠÌ-×Q^7n¶cL݈ÁCàc”3yÆ„YFìÙ‚G‰žô)RyÓÓÚƒ‡Ê2Oóð¤yÏæÉÆO7ýú^÷ô¾FFd1ÛµäðvVÓê&aV²Aïjü'óï ˆÇ5 1ÕwžÓØ&ÌnrF\œÔ`X ÓÍ©HrGBk*²ÿY€+_Òve‹ã‘YÞAùŽ)µqcÁë‰Q.;òlb*’¾Ô>¬V€ÏP6ï…Ÿ³Þºð] ÚAó ZG’Þ¼x¿J3¹6ºf™‚þ Dק¢W`­àÎâµ£2[ôkµÅao¢úbÒm{/ðŒÅ5_†¨Õº£ kû(—ñ^@‰ŽŸÇC|øÊr¬Ñb¾j{ãø}²®îÑÒG´GÝjû;n1§Ùh…3ÛЪ‡µ nå,œ×@“ÐhOmh§ãûåe”ËîÇT2ÿ@@<®i»÷¹í7`›0»¡ýD¼Ÿ«Á­4_ Mž)ÖÔ‰ÊyàE”/jW—¥Aȼ¼‰òÍìu27\DyÑÂ' êÂGŽ¤ß1ÖVKÀ(¿0æwš±Ýj³Õ¦F‘C|:\Ú¥÷çés\Ú%ógÌii÷&*žc^ï"lf×ñrhP+…ç<ûÝEü!_n¶w(P³ß%2W e–}¿Kæ.o¢¬ÕÝ'.1$úÝÖ~£SS3^ž§=4$÷”±j½M)´k-Ý©5¸* ­uE‡•Š~‰mÿ1Ú)$1…è+ŠìżÚÂè¬{hª¤I˜ÝDyÓ}×HæŸ ˆÇ5 áa®=´°ØŸe­³óF” À¿“ú6~ïêœólöÐ#ŽM¥vÑ¢¢ÕM”LÉß/ºkC¾uÑGÑÆDÀZ‡þ­¨OŒ‰Õ’×ÝtãñnÈîZ,{,,WćJ*áì}OubñF(¬WdÝSLÂìu”¯»ïÉü ñ¸¦!h åÚó„x<û\Fqt´XƒZhÞ'÷&_íêÔÕ9à,ʳֺáãѱkÕN˜¸,¯¡l3˜S:á"j•ð:ÊæÁ|™£n«ú%Ö oå l®Eøeó ìÛŒT[- 4†|@oý&­&—S÷©Ä¡ýÇ莪K•ðʲw)2· \EyոѦX«Z êíšò¹Kâ±æu÷­¢²ùH¾À¸S'œIu.¯ˆ{ÈYâR“0{e­³ fÃ'™¿* ×4Ä\ŸyŽâbnÏìFñctIƒY(Ñ-WÄ“ŒVÂ7ºF… Šö#{»“ š ¶Czaªgˆî ð ÊZ‡®Õ¢«„ˆ"|Š²ù ²[“ùMñ¸¦!l æ]eØ.g]'q Vƒ\8ã™Þ^J¾Ý^âÚL K¬Óê„¡vD9m[ífg§(¯fáYà ”Í·N²8ôÉ<@³ wZ ¦a²&žôÕŽˆÍçQž·Ø¥ä"sÓÀK(kõV›>ˆ]0ÂË(kÝMœm4ubÈOWéRæS¡CüzØ/>A_GyÝ_,z]‘L~Á•5ÿ&sEà3”s8ÛLæŸ ˆÇƵ€s Ù²žañO+2Ës?è6j2Q@<–Þ~êuwЖØ>ƒÚþг9­R®2?! ÍžjÖ”ÎG^¼³ÆÑNJ绌}¼Eþï¦àx\¥}Uù5¶Ó¨uê­gL‘ïK´¡YÎÞa“Ò÷Tå]ˆÎš€x,}’žÜ èVŽjÛ™GÀg(›÷Å,Ê}å-Ø®ÖK´ôÌÓ3Ó±ùw‹Š,?F+2”Yö="UÊ=˜½‰²ùí®÷Tý™Ì/ ˆÇ¶?iÐZ%ž‰ý™û‘ª_©ðÊVÒ^[ñçOàÄö³^§ú3UÆÌ. ¼àÞŸÉüñXögÝLŠÄê&°ˆ²V~iÒ×Ùÿ]O—Xdz‰×=à ”Í—¡GžMŽÄù‰t>ÏûIã—u¤àÞ 4†Üç™Hº{mV‘›(7²ÖnºZLR3^…YžiM/K¦QL’ùËⱓǣõÔny ­gé83WïlÇã Ç«uµ¸eà&ÊæË Ç™F^‹ÏṄs«sÉÂÏñç…]{1™?) ~nõ¡tê:nLœ¦PÖúª—rºQ*±ÖŽ_ *´^Æs®†Ž½¦Au¸ŽòzöNDæN¢¬uXÐìs—Ì?! õõxQûpå ëÎ|#¼¹pƳ-‚q ¤úzåxêÝup)ÉYàÊæ¬+q6Œ=JÊåŸ-%æPºÓ®>I¸‚²ÖוZ RíLÂì]”Í7£”cÌßó|…š•i žªëá+Þ+/‹C·ºYÅåƒJIãàl>Fùïåàh_B‡¯edöÊ>T[†Ì_Pû@jõÄëhGOb÷#ÔôÀœ–Ü¿ˆ ‹x4=ùÕ¯LçK/ž rÄcX+/ûeÿtº°Ói6£ÏÝ«Ï‘ÝaP)Óõ·¥tR¾SÿK´%¡p²À|¸%Ê”!6ʼrÄ:”ÿ/ˆGáð;·£Ué~Š„ö‡Û3¯+Ak§Y=ìdhn²øu¾Að5Ÿ£Y¤vS/»§ùýÊ‹……yÊ3‘ >fZ]Dc^@<Î')¿†ÇüÚ3œ¤DbáÇ=måÔ¸áy/kµð¿þ~vò¿¯­­~æÅN£^v(x?ˆçGø;å †ÐËÈ„¿§ç»¯X'œÊ6CO©ÓÍ´}: [«5ÞÒˆ#œ5*6ƒŸ:Õf8¥~Hý:}ä5j••gª¡ˆ#þ€òƯ£¥—ýž€‰~\½ÀiS:4•œa­¨wPÇPÇ:i ;C5égÄ“ulG<÷¤ J®bƒÌŸ¥·?ùbõ/² ˜D$¦H®+€Ï%8&>Ä +àØ—¯¾ý.å_˜ø¦’ò…AUó—kÚz2V@@?;›ü¯^ª-:>8ðë„UÜ2…iú‡£¥ÓÿÖ}¾|aÔzð~ºäð›Ï¾ùXRKn—ƒ_þ¯/Ÿþµûsóå`“Zëª[ëÿ8kÈuÿ@c ù÷Žâ\\û½Ð{4hXvsê÷NgQÖª©Õ¯ýZÕ—Í#'Pžôþ «v!ósâ±Ô.W?®ÖÙz…Öüz´ûÛ`a ù{ºò}ËI´ á"Ê‹Û©]m׆-6J2i¸j'dÒè"ÍvûèCê؈urÍjÙdLˆä"2Ó²-öÕ÷_~YŠ¯!ò?Ðü;üÃbø‹é:ÆC×îøŠê&Ê›ÆüŸ±ðÝ”3!¹j%¨·#¥å8ƒõ{¸Zb‘pFXŽÄ!J¬\.¯(¿€ðe#ÓÑ5Ž‡NËßK[™§‰ ›«x ó&¦¯Šñð¾)rÿ3â1¬õ‚Z¤àI7 «E›úª‘/k0ã$¡ÚøÌ¤Ç KõÎA@©ÔÞ;íϲxDGïêHêG¢¯M $¡šfÛ®2¶Ýhï³w̯WØ«T›ñf‹òfDÉ4®²í#žhQu¼œB뮢¼j­HÝ*¢¿ä;Ùk(¯¹ïÈüº€x\ÓDk-v–êÝO™pÆ˲[Єú™ ”b¿`Aê ~pe½&ii B—à5o@Ê8˜SVîΠV %딚îkKŠXÝ>ö¡4Ùe"Å׈%Io }JKŠ°|à BeåR„ËÀUo@J³Ñô¡×€A(M>Ö¡¦á,„ (/d?Šóíc2+„r5|’ù«&¡\јAÅsÌk?Û„Ùâš’5ô; Ÿ-Ïhã%kèwø8/‘¬Ñl]MÉšóhV¾àŽ/mƒBÖÄ’5Dh8ï HÖwD)[–dn(‘¬Éj”:»`„ÉMŸÐ‘¬! @‰d%‡Ð—¬!^+Àuo@²&K¿X>ô$k²ô‹kÀGÞ€dn_¡'YC$6€ÉM2%kfcOŒP"Y£ù6$kĪ9”µvEÔ¦]ôK“0+É)ëj¾CæçÄ㚆Pñ¹N».Â6avÓ.ÉbTÚ_SÍV²†8Ï%’5ú_ïö%kæÑè„F_ïj½ïÈì2ÊËîÃÌß0!YãŠÆ%T<Ǽz!`–½†d 1*Í{ƒ$£,%k„‹Ef;,jvAE(‘¬qåÙdþ…€ ÉW4„å¥\ì l_É4Àt%k® °®x}K–†Ü $k®À¡D²F³Y3¬¹Š¶&4:h£Ö ðåM2+°q}dþ¶€ ÉW4ÞGÅsÌ«¸Û×¼,; É"TJ$k —9­JÖÅi D²ÆY[^Gû]·Ò–iKXZ’DiÆëmnÎxš‡0Súœ”Õ«ëpÂ9o@²&«Õ+27 ´·¼…d 1œnz’5šL3’¬¹Ÿ&”HÖäéßDéP"Y“•“¹2pÓ¬ÉÊ¿É\(‘¬q5†’ùç&$k4iX¬apNB£#çj3,&ave½#æFÍBæ/ ˜¬1|ûá’5§PÛ7=›Ó*å* óâÑŸU™ÑYôâI G<†µr±!·T9 _"âDƒ׌J9·‹·òõ›[ðŽÆ~c9å},M/x)çù_†&óÚÙ?QŸx/Ãc–=É÷x)çÒï^ý+åÜßßuA½”sÐóݿהsš¯c;åœ ñodšrN³V¬§œS¬Oubz U@(Ik¥ë:µ0ä*b-¤}?ÚN97>-©Uý”s††uSιê*Èü”sÎbsDʹ¬csDÊ9W±9"圭Ø<Ò uI@g±)¦¼s›bÊ»c“Ì_0¯Øä3›ÄÔÂUlò)aŽ±ÉV8šÇfŸÕpž]Sýž9 œEYkö¬'„P¾à><è™0‘KÂðíÇÉ™r)ÝUŒ¸”nXê!—Q5´+!ÉéjùˆÌŸ: ú-+!ù)¾¢Ü_Æc”ÆƬ²ŠðŽ ržècÅ‹7º9&2B*ò™5æsîóÿv¥Â^Ügñ"L±RõõJ«DËÅ¿é·Kì°YÝ VÔót܃sÜó¤š%š|g+ì^_ªub%)y6Cͱ(5¢«û`B8ƒòLv]V*2ls´³òþÉû}£m•ï4êá$»-†µÂQTP9JR±}$f° w³X(¿É°'üåOŒßäÊO§K wÓW¤.Ñ¥\)BáðŸ!Á«ÉAþµUu§\+Bá˜ZF j0\«u« ÕÃæ!ls´6+Kìë¦$(ºj×GB{½óIËÆ\·ØNq­:áêªÆX²†„f'MÆg[énh±} †­²U÷É'°ÍÑŽOž]b¿¥ ¾?Ñ”A™ÓSð äÓG­)q§/"2Åw%vÔM–Ö›ÌШ¼§KcïjÕƒ¨y‘3®„ÿAÿÔ[{oAÈe¿ø;z#õqBV5‹ot% ïÅ×*Xøÿ4ª\¸3i6pJÍ^WÂ)J;hµSfádŽ‹f|0!µ Èþ„€Ú_K)U0$<.¶ÜTAÚ÷âÞš£Ù÷¢ñÙ‡¼x;‘cbkÑÙÙ‡Ñ"zÒ%R[÷æù°¹^Ñà7”,¤gu2“Ì€’…ô¬Nf’¹I ½|2 щHúîðë{šß¤žµ®qh]>DÙ^6aÉà?€k~äåÚ‰|„(á¨ß‰Ñx‰à¨]Òßž þcØótlÒodž ^LK>4üÅ”ÞêLü/5Þ “¬#ü,ʳ½jòìžÔ² þcíj+ëŸ3¼ä øŽ"ÌŠù[E 4l;:u}<<®héUÔêxùà%)G\5 ™¿(`┼aÃÜÿįí„#u;`;ƒÃF=ºäF©yqÜ·ûÕÖŸƒf”¯¡¬H}­EøåG[nœ ñ ë–#óÄ£Ùrcèfˆ×¬–Ï÷ÐñFIá…íCÊ›”žg«ïÅR_šøJ£²,&Ãå„Öc ù_$þ;`—VÏËšùê…lvbFkÑ9*_=¿‚“˜SºŠN>¤pLÌ°£Ó8_}4J ˜ÈW¯Y+êŸéb–raÔ¬>fœå!ïÕ`VJ²©ŒÏLšèá^-¨ïõö.0쵘ßbZ»zX‹6_ýúåKDx¸‰²y'pž±O‘>‰.͆ý€"-1úy”Ï[‹ÿÔ³jü˜;™EyÖ¸6´Á_kbx{¡zØ [†½V>z‚×;¨„²fÜ[ÈG¿wÖ“æ£7œ‘ëå£'\^óòÑóäá€×½|ôšîk+=á àco ½&»LòÑO#æ%í }J+=Q)xùè³r)2· \õòÑk6š~>zâ±”ä£×äc-ý œ…på…ìGqÂI˜•ì¸>ÉüUùè]Ñ8‡Šç˜×(.Lã2Å5óÑ©pÆÈG¯8Ž;ÌGO„g’|ôš­«™~ÍJ(ÉG¯1PHóp©ç£'BsÀyo ½qG”²J榒|ôYR³± F(ÉG¯é:ùè‰ÁP’Þ’Cèç£'^+Àuo }–~±|è ä£ÏÒ/®yùèuû ½|ôDbÃë¥sOä£×$ã0½°&ËG¯ù6òÑ'·Ê´7‡Ô¦]4![“,aœ«ùúö.âqMCÌŸç´k¶ ³›véä£'F ý5ÓlóÑç $½þ×»ý|ôb*t£¯wµÞ€jff—Q^v†dþŽ€‰|ô®hˆyàóì „¯ð,{|ôĨàõ„+Ízƒ$£,óÑã $}V¶€ "”ä£wåÙdþ…€‰|ô®hˆyàó 01/yv¦›þ*ë*~¿£¥!7ƒ|ôWaŠP’^³Y3ÈG/¦B²@fÝ P½LÂì-”o¹>2[ÀD>zW4®¡â9æÕ \‡íë^–€F>z"TJòÑ.sZÍGO§’|ôÎÚòÚ¶L[ÂÒÎ×=¼à ä£Ïjõê‡pÎÈGŸÕê™›Ú[^È"=1œ÷z Íç=gj2ÊGÏàÓ„’{·yú7Qz”ä£ÏÊ¿É\¸é ä£ÏÊ¿É\(ÉGïj %óÏLä£×¤a!ýM8'¡Ñ]µ?“0;çuW8]7 ™¿( öI{©Õáùè ¨íEÏæ´J+ü„€x4{ª‹¦th–J@;'Ö‹Œ½Œ¥ï6ýƒÇw*•è›Ê¯±F­sPo=cŠlo¡Ýy«¢õ)éñ覺µÀ‡(kí†I?JOD”trØ?>GÙ¼<Ãp{eØM£!iâ±t+Ì̺û£ XÙ³(kp4ËÞHæ§ÄcÙ}TU—TˆÑEàe”µ6Û=Y¶…ZãmøIÅ/:m±Ö_«…óS•®'¹´¬¿ÝÚØnÍ7~´ä³× üvH³½ΦÃá>ø©vYá,5~‹ýj}/`÷é88»«úËðùeÏævëqF§æ©ÓdñPÖ¡HM7³'¼nêPסHæO ˆÇöH¹Œµià¬×={£‹IJ ‚—ØúÆmºw½]å×ü”h^–Q.gï?dîðÊÜOãÈüª€xœ/ì³  é¦Âoó}g&^à,ÊúÎœœ-ÇÎTö¢«CËpx9*Õ°ïŽúè§êtÞŒoרlþ ;uÒìkýÔlë+Š¤Vи„3(ÏdnT“0{åsî»k2^@<–ÝüÄAµRQî‰Óeà5”µ.†H9ÍÅÎL é´»jbÆ€|)ÊÞ-ñTß!s³@~H.‡Kâdþ±€xœwÕ<Ø]/û®ºsx¨ÜU¯0ƒ®:¢”ÖUßÓ쪉ëEàßMW-¦?vØUSLÂì9/·®šÌŸ0›®ú¸Ž‡¥ËÀ÷QÖ:È-ŸYÇŽ™õý™5Ñ»|êu•l³ö27 ÜDyÓ}wMæŸ ˆÇyw-æ Ï®»>vt૪T£0ƒ#§±÷kj~s/hµûÖHjA«-¨¶.qžZ=r*.Ô,ì®ÆÉ}4:¡Ã#§T3“0»Œò²û0$ówÔ>r*µzâu´ ,±Ë•9mÓ”³ñèG¿^ï–°Ùʱø·«Œ)%§Re½Šö[í/[ò¡QBÂ`q-_OZƒ÷p4ö$ËBÂë^œ1dÝ“ +ò;fZ]Dc^@<·ÿ‡ð˜‡žáð?THxœ¬}c) ÏzYç§ü—’°0v¡$,9ÝñZÏysUæWï^£üÚøul+ +Ð@:"ó¤ƒS&Ò}kÖŠu%aÅjñTç©ÇP„ED]çЩ…!)k!íäŸm%áñiI­ê+ ÖUvÕUù+âq›bVÍb“ÌNz©J®b“+sÌ(64h QÎ.6ÉàŒ—ª$œUl’¹‚—ª$ì*6¹‚0GíØ”ZG*51Es]|.Ã1ñ%hXêR©Q5´%xe §âT«…ÌO ¨½¶A¿eE*uÿ=Ïl­µrÆƬ²6à7>”ÕºÔPÁ³Ó&¤I5}ˆ-E—@"MM|G'ï¹4‘2MQ¡Ìt}lÀìPͤÇ0ÇåÏrZ†z gáhæ8ÆË<›^/[¯ä#J³VN0ËCÏÐ*ϼÞqB»jÒ¦)gDoÖ`xxÝ3Hš2qH¹CDæÎoxÝlŸÖ̦ÌWÈÜI C™ûÆL_¢¼–Mdn üÀZ] ÓKÚ„KòóÂ9u d~B@ýĈWßKQáSk‡1'Jü[°çéØ”ÍègzIÖ„{† &]º"MJÍN3­mþí½ù~É•%œ%jƒB¤$J”D1DJ(ࢥDI¬ÒR‹Ë.»l«ÊÝnËV'$ €¤2I¬žnÏ>Óžù¾?ææIæ!æAú ¾ùòfž‚‰L±d¢Úcÿ:ûDQ”îɈ{cˈ{þ*˜$Ö;*ëÿÁ¤ßçêâöó«O0I‚†iG§¾o€`ÒèÌ­* &åÕ0d~€`’fÃ\¿I‡­~‘¾W oV$¹N yo¡|Ë`S¢´„òRþMEæo ;Æ!ÙTñ‹]Æ’«å ’à/’º²Dûv{oAO0)á —â¬’à(T¯9­À·ú’Ô¤ˆ„uM÷`ĪÁ0&Eħ±éZ^a@曼J†Áe]:äõgŒI)ÖŠügŠZ¤`%~¦¬>öÕUÑ$)ÏY«O“dtj¦4I ø=Âi”§•ëª¯Ž”4IègsVŸ&‰fT§.Ð ¨Õp´¶ú¶#Ý×”& ýÙ<ð¡Õ§I¢È.MQ ,ሩ¦O)i’•2pÕêÓ$ÉÊ¥ÈÜpÍêÓ$Ql4uMâ±LÐ$QäcL“DT›EyÖ`+¥|W»N˜MÐ$Ék4'óWŒi’äEcˆ²Xn£8ßP"ÌnWÔ$Æî$MÉqÌšhu°&ÉIÔöuËä´Jº Èüñ(öTÚwÃæQ3Íœ½=’&‰´$ C³ê÷òi3ÒcáçjàÊÆÖ¤'öœúîž´„‘y`õ”™Ì|Š4I†æA’)A“$«î* ³gQV:à¨ld~R@<†Þ>=ÏßN &Î:ädþ¢€±¯šo?JRZþ P}ñ«U<G<†*@>)-OVƒÏ!ñ¤´ymî’ùIµ>‹IJ»„¿¿œì/£1Jc£WYËðŽ1Ê=Éj;-`,)­$Ÿem>wÁá®6ñOÏ-²/–ãÑGúŠ#MKT¸;‡ò9mZsú¶g{%Ïñ÷ì}gc™-FGTœFê×âTŽ+àE(œSÑäxõÛ¨Ú-÷^=] ‰•ðùÌJ°"Ž4j2¼E©ùüR—ç2­–>,”Ù%…ZøaAžë*øêåÑ ˆ5Øæhæ ÞÙEöÂöëÕðV—4§uð ä½£þÀ³üŽ.úŒÑkÍ2íä—>”ÙA™ýÀ¶ØËòm¹Ž„|LXÖæ{þ»{8—š<³{`C¨užLÓËîÃ6G3^ö%å&o·éÍv½å³àWƒØgÎ;‡.?úûvÕ©õ¾²×[á‡ÏnEÂÇü*”ôÛðdô„_¢ü¥ž0ÞÞáKm± ùvV„æzÂki ××ä)Šyà…ó¹¹»&OŸ’^‘LJ\ó}½ÖÞc5׉>-útè­½¦GÙ·é\Ûñêt‹`ôêô!²šz(;õe6ñ„_ ü…~O´È¶ö{ÇiuƒIš™˜ÙÝ\O4Ÿä‘Qm+Åã {,j>[–äYŠ‰·Í±dƒXªDø¨2”™6Íg›¼Ìü`”Ö*Êt4øÊá¹ë9Ö–Ù]é×øÔ Ÿ¡üLû5Jl@]wßb]¾Ö?EÂÊ¥1ô«BUìWgÙóZ­?Ï”|‡ôœgQžÕoÖ>ï¤é%Z³R ÏW* sÌ øÂh³ÞI¤Û Â/A’ðÊúwÛäýð3ØæhÆ‹‹ìå^8‘ô«vC~ þL‹(µY=µ9»̆J(Ì,Ä™¦&ùYT—o"¾ov=»VwZíRÃ}O]ø¶ç¾oËí½ú.õ’ ï÷êmGaå-ÌØÅIhîŽùØæhÆ1C½¦¶x<­í²ú‡`ržÿ–¦ù¨2ËÔ(~£ÏS{cµçÔšõ§àFxå&6 bHk›Úÿø_üçú×x”ë•õÚ›œB#~ñ(Ð0íèÔ÷ CY¢Ue9´¼†Ì_0v†L³a®®×Ø÷Ž×r ­Ã‚¹A½i·Š$Ñ ´ áÊ Ûi-´„nyµR¸ub;|!VU M±Z¸œe4-4ÛslóZhŠo°×B Þ§ú=-Ãćô…¢ÌC‚¾²Ø߯Û-þ¼[}ÅÔä¿DüÛ^]Ðl3!á&¡^ByÉ`ô“pK9¨šWô9¨*½7ué„c¦€1 7ÅZ‘?X -rʲ’ÖKV ÁãƒÐñ(ô¸€“(Oªp³’Î…õås²“)à”õæPIµubÈ4j¹ÀÛ(ßV!—2½MÉÊFæ®K(— š øu¸Œò²v š"šBýß>@ùÁŠH¹›"^9ˆòCíŠîÐÈüÇâÉ›†¨lfn´‘ïWEq¯ ûÕh£À;úýj|"[ÂÔªCgâh:´ì&eeô½²-Kl§€P~4†–÷hYÃca(¤¿Ïz 8kõTÚfPž1h6e .øtn_Òv 1€ð2pÑêfÏz 8#T„°DÍ»ó%¼%`,Ûx^4&£xêâ¸Æ€"lf7¥¥¢³0AÓCr8c4Q—V²- ÏT5:ÕÃV”l‰¿ð}å«*”äú427 ¼†ò5mç+3A¹Œ1¹î„‰ d㋨Í7QÖßöX6=šÁ¬¡í†líj»c7úï>„Zɲ¤Ï! WQ^C§0Û„f¦‡ÜJIœ¸€ÂPžµ«“¹ à$ÊJóÐÃWßBW?3œ9ÚN«&ÜQˆüŸÝ“õ¡O ï%­CŠTÛ¶[µð µÏJ¶Ï5ÑzŒ%yNãP^0æ]ÕNÚNªo“eà]”ïfï[dnXF¹¬Ý`“½«/ ÊÄeøåÇcè‚„?¾ŒC"Ï ™+s\Á`c²+¥dfóѲB¥_OÖË–¢ðö³(Ïæ¿^ óWŒ%¹É‹†øq~œË–‹°Í¿Ig³l9~ÓR VjMTBJ'âÃÛWÒë–‹ø=Âi”§Ç<›»ˆh"œCy.û®ì¢Õë´¯£|]Û}/³’0q[.3ÏiºïœÔSÙƒjøeý]ò[Œ5ë¾OßÇ!ÉB°÷¶× ~®Td}j1G˜eaka¢R®¢¼š½K‘¹%àÊkÚvŠùõ†ÓjËK£uàc”õ'p³Œ;uÌ™*’ôD‰ËY”•†S¹QœB ó–®(φO2U@9ÿ. Ïãæ=†’Ù'âѤqžE’®çð‹,²c×2œ“P80˜õ ‹ï]Ù (!'™¿( rNŽD«§^wíÛÔ6ÏTefZ%]dþˆ€x{ªSºtèìðIÍd»XbÑ‚:Õ‹Ã;µZ¸¢²”Š»ÓlùÒúØ¢2Ž09Í}2µÛ+V–cŃ¾+pu¢¥{ Nê\<Ù»ià ”odßý‘¹ àÊ ú±¯â8‹â1ì8Ǫn§%›‚(ÝVP®(»Í‘¥SÜmîÈÆ<ñY·º‡ú {ÀX«ÓÜ–yîß7Y¡ÝN#âÃÜ6Á¢ó¦o²Ç5*QÛ„(ÈÄäáë7aö!ÊóçÈüÇšI\ ßY¯¢æW­,;ëãaºòš·pÒÒÍçTŠ÷Õå(©zx°i¨7;MòÿuÖS@­Œr~Mæ&€›(ë¯G¥ýšÌ?¡·?þ:\§LÔÈw׬±N_×õ¦¯ñqBšÎ:"‡ã¤j¢q±éýd9n µ¯£|ݘǜy]süªWßO(]‡Å{ãõ›{ðŽÚ~“ØåzÞÝô’äG»2§€XX)f¥¿OÞ"]]DcF@<¹ž¢¼Öè¦ó=–²¯6J–ÓÔK8žâ´•u>ß?ý ýìÄÿŒ½·r>ß3O«n«É ýοžÌ¼){€B7“´Çõ÷jÎûë´jŽGjxµH;oÇm4Ü÷ôéSØë.yÎÛNÝsjâéŒd½Å¶ÝFmYzÛC|òkí×QÊgû‘€±Ž\‚Æùè7ôÓ¶Š9ÒðhÖŠ|uUqÔJì¡$«Å’•Ež@ù„¾s¨Ô€¤µ’µöý㣠´. ˆGžV¢Õ¯ý¶çòãò}†‹@žmæ²1é=™+g­îeœ¼» 2EÀØÍëÜbSLD<†Ø$³À1Æ&™?) ~l²JŠ?²s¦c Âi«›)ëð8† 2Cädþ‚€xr>¹ˆîy…Å7<Ž#$8š ¤×Çñdüåqü…B„yÇ=Sâ1ôö'C_¬ÿ0HŽ€¯åÔç·Z@æˆÇPýú«Wߦü ɲ>P5´•å³=>yíßùI•7Úè·â CüÅ–Æ Œîãïsá2¥­46z•õ1ü†ċ$7“&F¥3P×þ´€xù<×æ³ ›Ú|Ä?½ÕdOWX´ Rjºïꎩ7~`[̳ÛõÖ®‚rãc8¡^ÚñOÏ7¹r#Ѩ×:J¤Ùš¢½¹æ ¤î ‹tsÃÉk†n¡ÖÒCÔ–û¯'{âý•ÝÚí4lAÆOÀ‘påem¾Køn×ß;õݽ¶ÙOAp å%m²wuöí–SÝkÕ¿wß)~’„ü˜þaì~ÂÑ‘­õÕËl‘ýÆñ˜çvv÷¤ ?ÉçF ÷»/÷èúM×mËó}Ž/Œº¯|ô¶9šî‘z;ËÒÔ>Bs=ÒF“rÕâ»Úv½ÒgAj/Cì}kC>x>Y ”7´‰/.²Wt&ù.Ûwìï}¶g¿ þ‹Ž î…SêvýH’ôZ—˜1}1b—ÙAÐUU*ÑQ‹JE£ÊEuz!´r§!êôŠ§MëY)u´õÎm;~( È ‡GÉ 5UíŸYÝÉ•î8K~Vì›oîîúš¦v½¹qö*Q«º®W{ÓöìUìBÈP!D~ V„B½j¬òÌqþxšëUåÃú×°ÍÑLXŸ&x ßåç€éÚ‚4³W`ChnQ^ [•Él×[ Ñð-˜Q.Ž¡Ý¾ƒmŽfÚmf‘ýÜþÞa6{ç6ªvË kK“û Π<£?ÃEw\«ÛM·U¶¤ö½zÕ¡.Yš)—x'47Ãý$&QK<šö‡p:ËåÃ+eÆšu€]~º,¯òú· N(ì{h¾D‰T^iîjÐzÎÁƒµ`RMtÄIÓý-( ·M5éVˆ.—ûõêÛÛ.ÍÁD•ÝzPÇí ŽTåï@”°‚rE›ôå †íªÓ~³ëÕk¥ û'Ví´Uèý”…¯º%Ãp·Ó¨ï+t–¯Á„pœåïa›£™Îòr°âNºÜ"Mï ô£÷l‘R{‹wÃ_¶ÛÔ¹'ÝÉ)‡¿JIОEú5Þ€:á3ËÔö³Åð„âíð*ÖmÖ½Šq‡µ–Ù;Û«ÛÛ :’è·»Öa‚Œ~YúUþô …}¦Ü׆mŽf÷ê"ûÚõ)›·ííÖéiWmKšá6Xš›{÷6é£OMåÃ&]‡ÝâK2êðƒUwô§ Xk7÷m»×õoA^]¾ûªâ}…ù–æ»Í/²_zŽïxïÌ´@ ÌçQž×fù*Þaüå[ÿÞ†PX ä…;°ÍÑLþd‘ý6èq)Ñ%ÃêUÕáuÂûž[ëT©Ã®ó]~ç;~‹Fúuvñ „†¤æëüڠÄ5 ï/{xBa]›»¿Ôa›£)-²_`tÞv·ñºKk}x¤=¨jiºEBsóñõô4î#m¾¡&Íû{p%\Gy]›÷§Ý½Ý½ºßvw=»­ßÂÅœºûOy‡ºæ„Ÿ¢ü霶 ÛÍ8íS9/Xõ;ÍüA¾*[ M(¥Ð|…oÒbK\µ§9_1o-l7ÔFAoBø ÊߌÁAöa›£¹Ù¨o{¶wPÚoxôÕ<èÞìjÕñ}úÒߪ½±[òÓ÷· G($bÔ¤ZŽü÷fÍ©Ú5‡üºË®}óÀ±½2[_“oe4 …ì,ºkÀáá÷Œ^*ŸƒwÚÇ)„ ê„ÏP~¦ýWú¾·)w·m"¼‚òm‚«©ƒŸ÷Ò¬;`J¸Šòêú€w°ÍÑLpa‘}̀à $_ÉKS{:„æ>S=Žfµ §µÛÞ2•Å@†ó‘Ò/𤠅£’š/ð…ê „C±òYϼ¡pŠDþeÍ^×ÜV;˜%´LoÂÜF}T>VÈþñ«çƒÝÜop飾SÊôÚÿO¤Þþ¼5Gå0“ àßXÑÝZŽ±{¶¹eøG´È?¢J>Òª–¬äë:'ùGNvEà ÊJßî’£%-É&™+/¡œƒ4™›^FYëý|˜ùŠ6¢»KYg%B³À»(›S%§Û ŽÝðÝ”0!—ü'k¬Ç?!:8ªwZ4þ„à¨\‰¿•|Q‰ÿïßž¥b“~#~‡~v6þ·^ÈåÄXmÚ­Uñëv…¿Ã$ýË“ô/ú/Ýw˜„ KΧtS“â?µ‘šöë7ŸÿúEBMÑ{ñ[nP&}–ÙŒ%Ïÿ÷×þÔý¹~Æ’Ï4k~£Ö­û=™NZvsX¦“‹=ä-içî8©ÒE< 4Ì;;õ€'QVª¢D«Ç_Ûº4›æ(I§yòj2IÀX ͦ™Ù¨Å¿¬ÔÝVE’ãš…på9ƒMÔ®·ƒnü^GùzþMDæçÄ£ØD#OøS—`Cr¹(VKåðé®Z ¾l‹ý⻯¿ŽVÙü?¤I‹©>*(W´I¯ŠÇ£ºÌÓNHɳæ'á*ʫڬ׉uË®xDû‹ç_¿úœ6,[íèµ.3b¾¾¶FŸvÖYâ¤HÚÛñíÝ´ü6Á%æ•yE,O8ÆfÙ’ËtéП boüѬù%ú)´È)+q‰.Y-ô/$æ%‡+++‹V_^òÑÉYI½ìÄW;*µ5 ¼€òåÚŠ×ÒQ sÙ°&*W×QVå¶ÈÜEà<Êj ø§s½Nö<Ç'ÝOœu“ 1¢Æ€OQ~ªMñc‰(Ir§k„—PVšã¥4[Jþª‹ ˜MØÊ«3&ó³âÉ›ÆT~±¼‡²ÒFž¼_Ì¿qw¢Â¾iÉO]ˆÄà”Ÿh“y¤ >îuúN›Ùíð;OÃ>p<ÖpÞ9 V29úR0Ëñ¼z-pÙrK$¥’S| ,d^ÞÀCzÚ%Lµ’.od5íâ&dVkÏFo¾3 *ñäMC¸5Öi—F"Ãi×Q:¤£À¬Ž)(ιŽÄUž#äý}§Zß ¦]D‘:„æýUØO85ô²­Kœ‹À§(ëO»‚Õ;Ï.ƒ~ÉÑï ®¡Ñ µVïr½ÕÌÌ.¡¼”’ùÛâÉ›Æ*žã¸zƒë°}ÝÊ´7 £q Ì @ýÞ Î¨L+0båÓÄ*s·ÿèTÛHÍÄju?è+¢\Gòý1.£¬´ #`×T„OPÖŸH{6™* ž¼iÌÙ9Ž+Àl³Lì$?gªÀ®xR@3‡õƒ êóè<þißÐA*4CY„ º›ÁZÛ–þ&äÑü¼$þ©|×-ØÎððG¤)®vV™˜WPVú°‘ÒɤlWÝB” ‹6cfS¶«ÈÜðšÕ]MäØd~N@<†ÞþøëðÓZJ“ .Ycí×– õúµø”Aš­ß&Ä£Y+³)®+²ô„Œo|ñ<óºæøU¯¾Ÿ"=x—Çë2ËpŽÚ.“8>õ¼«v$ÉNžžGYé(™LDcF@3–òãß]xÌ]Ksü›à3õ[»©?øí2~¬ Û;êúúÙ‰ÿ{så;êgž+:sþIô;ÿz ÓBG“t×|[Í}¿bVÍñgiÑל=š_6î{Z®õdÎXÉsÞvêžSHßu‚™é¶Û¨-§Êtrgý(ÿAûu”îg$`¬+— q>jý»È§ŒeûQ¬ù>Š_ô@øÖ9áE”õ§íÒBÏŒ€±Åon"f.C€A1Î9 àh6@Ž’†«lxœ@HN£<}xœ@HžGù|þáí.â1ôö'Cwì6Jߊï#¸€ÞT«†¤ÔѬ€£_õêÛ”!9›ä]TMÙêÝ-öøäµÅZÆïqÄ#Oƒ~+žØr€¿øb¾„¾]Lúû+Éþ2£46z•µ¿áó!ÉýÞøExùDj+ºÏ"Ÿ%m>«à°ªÍGüÓs\‹báçÏ_½RêXƒ¬uÿ‚¢¢u‘>_—vßñÊL•Û:øæ`3•Çls4óÅç¡(tÁ«ŠËÃÖ:^øm¬ÌH†á½]’Ú+ÈlÞa‡(?Ô&_‰2ó½ õ„"Óõfi­ò ÌÒÐÞ_+³ui‘û zß2™Pðb\òb£¦ ú|ŒÙ+…Æ4è•SÕc†é3à—7{îˆÀ#£T†Öä“/~ Æ.k²_f‡þø ð«Â/ËŒ;¤|«s}Âe”—µù~Iµ]Û¡ú¦³ø)9öíV­ ìòš§>!øÝ›ʼ7à?9P_ÞÄ~‰ò—Úos™ý²ýÊ»`ãz¡îéÍ*[ÐIR—U¤Wê†?…šX?lý° ‘‘¨1äé “’Ôèrë1ƒ=Âí¤^“é«vÃysð¦á)ô£[`HÈÏTè_¨¤°D¡ÛžÝ"´…´Â”ä%470É7õ§°ÍÑLS?¦Ê‹% ¦¤z¥Þì#Áwñ컃]·¥P‘Ï@ú™•(”[E>‡mŽf*òóH¨7lvÇË°£á³½°«¥…pµP’+Mõ^€?áç(®ý.óÌìÜî%˜Σz™rb~öè M¼;mùÚÿ ¼ …9‚æ;|*ùzËiì;ªoñS0'k3ãJÕÆ•2Ûº'‡ùøÿÌ29®Ü« ûœ<Í6Ä·[în-¬—"ùk°ýÚh<ܬñ9foûC{[áç G(\ÖÈ}Xüls43,~‹ïÖîx->žÐ"ÖÝÙ!Ç®¦<=T—~ß¿^o8~êñÂÔ—øÄ …)»æKü´Ö?=ŽæÁDs!òÞî\¹'´, @„¹ýä½ã—x‰_îZt7{¶ß~`oEG/ðf׳ku'ðí ôêm?˜¤®;+Êœ•û ëù_1¡¹Íyßþ5ls4ãÛgÙ7®7Ê»ê+ð ädÎjsúYª«b­ú*}*6ï«ßâ-…¡CþÍR]…¹ïŒ6°¼£‘ý#â1V„Tù®Äoò©‚´Ï¿Á[sT®=ƒà¨\‰¿5X ñoaÏR±I¿1’¢AE>%5ijá?¶Ói Ìñ?‚"róŠ@,³ML‹!¾T­z^[™Zˆ Ù°ª9…;¾Åu ã®N ?_se¥J´:šbÂçʼZ†ÌψÇPË\zÕÙw¼zsß –6ëÆ—$É ´ ÏørÒ:”ÌZ»FÑBœGy>ÿ6"óL@<Šm4ò•MU-DÅjy -Dî$¥»»)ûv{OAcP¼®!|žÓ|…Gôq;Y‘|Ÿ ®—I9„¾€7ê~°ÄÓ“H¾€kÒ/}méÃʃª(}˜W€9§) L—ýÙéCÅZ1.}(Y-ô/$fD"KX˜ 4:±DBEÞƒ!õ“¹Ià5”¯‹¥¡Âu„s(ÏåJdþº€xò¦!ªšëXäCHÐË.„¤…ëÄÞ¥Ð{ Эžp’“ ãí» »Ì$®t¶k¡# Õ³«3%Âu”×ó÷gˆôuOÞ4„Ô±†Õ$lOfVGi–§À¬LÈ*Yñãú%špR\ÙµZ8Iµ‚ˆ]e¤c§ aGl‹À‡(?C»Ñ–E#í*1ÓH­:„ÚÝNÊ ®bÔø! ]Pֽݤ`ö,Êgµý@º›á®ÈOÞ4ÎÁ9Ž«·›‚í)#Q‘ÖÛ)ŠÏL!(¦‹b‡—£ø ž&ˆÏ(¶®¢øÌ4š•0A|F¡ã3$>C„.X=™ž –âþbJG”’µ‘ÌMÄg²êv§# 1A|FÑ'TÄgˆÁ,0A|ÆC¨‹Ï¯eà†Õ'>“¥_,Äg²ô‹9à}«O|Fµ¯PŸ!€ â3ŠdrŸ'†˜ >£ø&Äg„OlzŸÛä¦]4MÀäE”Çð- }{Õ¿%iÑ?4ŽsÚ5ÛüóZF‹LÑbTê/2Äe+>Cœ‹VOó¯h™˜ve">#*&äöΪ7 š™€Ù%”—òC2[À˜øL^4D¥²qö³°=keÚ(ˆÏ£P¿7ˆ3ÊR|†­>ñ™¬lAE˜ >“—g“ù§ÆÄgò¢qÎÌq\6DëÍP€©ŠÏˆzoç¬>ñÍ!7ñ™«0EøÀêŸQlÖ ÄgD‰7.°˜}' J¼ÝDùfþÑÇ…í8âÉ›Æ*žã¸:ë°}Ýʲ˜¨Tdç‚D¨Ô?rßæœsƒÔ>åÐwœ`ŠžAmK¢8 ¼ƒò1´å<ÚoÞH[¦maSésˆRxåó*ÔRúœ”Ý«y8á”Mn/¤ì^‘9~ÒÜöÂÍ û–ú|ºaVoUš#汿çú©—µË påMm¦·Yt¯Úîƒc,hˬ,›ö~…½rYÿfði„Dãôo¢tøe¥ó…rþMæ*ÀM”•šOοÉ\ øe¥e„ÞJ柈G“Æyfhº^°ÄrÚv½!½qÎI(ì½f=âñgf/XÝμ›…Ì_PùîB¢U-y¿¼ª€Ì±Råý${ªãºth–?@ÞO±VJŒÙB¶¯è3¬pN¦ê6:Í–ÿ˜I².'e¡24%•Ö« :«â1´ =õá¶Ó“m\â³|‚²~/x’—·I²¶m»‡Ì•\M®ë£—_¶zâƒË–âùJ½ŒØdþ”€1áS®{ @kJ@<†\w¾›C§{ŽÛ¡ÙmZjËú3‘¼Ü@yC»)§XÐyžãï»-ú„Êdà μd:”µcS-œ†Ùi”§óЖÐöñzûá²–|º?¦ñü6¢‘£Þx i:4*N ˆG³V®0–rûP–ß2ZŠPØí6ä-Ãt-ùœç“ÏÜŸpÔöú–”›þð¼Õ§k)ÉoäK’ƒè̈G³Õä7ÑÊ𘲥¹‰6P×r¤Ø#ÉZfŸm௲–ÃwD„~&éSMÍ{Ç*kÉOýåßk¿ŽiYK F–Ñü¶ÇØì^±VŒËZJV‹%;%=Š* LPRu•Zp©^²F^c ¼ä_<¹ž‡Ì€ç¬¾ïäy…*™Ÿ0¶ÄÔ|ûQ¤‡x†õNB«ÈücÓ=Í —*£jV¬Þ-#ý5‚’šNQÀXTÈ-ŒHqáòJ²¿ŒÆ(^eUà7õ– ×F¥£*õ£èCç>P¾T¯åzÍÒúšBâí5ÔùZ÷/êòTOÚlÛÁª7`ÖM°K@«)ü£uÔæp>ëéÝXö— @És©Z…<¹ Á´PøÈnX‰ù¬‰ÿD–x˜÷…§}i:6ýâ=…¼÷ð „Bjé¬:Ñä€ÌmM\_d¿¤c×¼FýðSŒÛi‡_g¤IŠº@×Q¾®Mry‘}ŽdÌ®Ùû´9¼ãö3wÏÿÞaßÚßÛ{¶¿W—æû …§ÜWT2׸WÙ«ðZÀóìÖn¸ÏþaÅþP÷¥ ŠÒ?ZÛr‡ÓP!•wi­Ì6–ËapSüroŒR9?q>ì÷úTJK®Ð/m‚6¡¹4T/yòîžtчHn‰^ijfa 冷+x1=i —(¿Ô~“t6£î”>Âv¼wòr¢Ð Êú›q_¤Uóʃ2{0¼žÃ!B¾¦E5¡/PþBûeÎ.²¿¡Þ¡÷KsÚB>…<«ÍéSŠQ…ˆEŒ¶šÑø ˜~Šò§ÚoqŒÒPKsì‹Éê4¹lÅk”×ØvÃn}¿`ØSŸ÷3+Q1Bñ~µÈ¾uq·ì€ŽlÔwv»‡3*×c~­žz§Æ0ÑÞ¾MÑÙv¼ðÜ^g?¼„ö§ú¤ßë9Þ…ðW(ÿJû½vLt'‡3 bŠ¹DNò‰?P˜k¾À î ¼3†éˆ0¨œŽÜœé½+L5ÛóéRWø¸ ç4yVvDQŽ„qÄ»"MZ*â mÒ¿ÝIqU¿Þê[Ó¥üjÕõÅ_ÝV¡gÆIë·(ÿv N,*Sç‡Q‚ù‘ßzt^‰ÒE¡"ssê[$ @ÜmÜËì>°?° ’‘ žµ”æúøj]¯=¼úLsZz=½!­Õg¢ÙŠ«0ǵÆtp€ÌOÞ4DÉ!­ÚHü­ÁŠ?‡=KÅ&ýÆHŠæÒÞ˜x€g#Ÿ£SP¬–ˆ ð(6 ¥.°‚òŠ6çMJÏßÕ=€\XŠÚÀûz­½§ÌŸ÷ ±-jMþ—‰ÿžSßÝkw«Y[m A†^;BÕòŠÐ!j’:òguEµÅZ1®6 Y-ô/Ìr**­¾,§£“Ë;Ë)ž&d9Ul]Å,§bVþ„,§ sCYN‰ÐàŒÕ—åT³GJ½/Mæ& YNµÍ¦œÑ;¹`ˆ YN}B%Ë)1˜&d95äêYN‰×2pÃêËrš¥_,²œfésÀûV_–SÕ¾B-Ë)‘xLÈrªH&Ç,§¢ôGB–SÅ0‘åTø«·ÆOq¯! 5ôß iHòš~Ψ¾€Õ¢1‰Šçhf2j\rÁдK%Ë©0ÏJÊk(9ç:ÿ"—i–Ó¢ð$d9UlÝL²œžC£&|†Éª7 ™À//¡¼”ÒïÜ0–å4/S¨xŽãê ¦a{ÚÊ´7PÈrJŒ @ýÞ Î(Ë,§Óðv„,§YØ4‚Š0!Ëi^žgcYNó¢!æœg€ ó­ L5Ë©”.üýB„††Ü ²œ^€)„,§ŠÍšA–SñcVÂÕ‹¬:žw‹ÌÞDùfþÑGæo ËršT<Çqubbùì:cáGjàY”ϪPK¤t‰z€èÛ†»Ž§ízÃQJÌÎêeÈ?g)Îå‚éˆgÄŸ°Æ2W$ó%ñäMcHbþÜ‚i¶g3 ¦ãч/nà¤ÕU†4M—)šðAN'œˆÝ°„²’CÉ…Ó,Bˆpååüý˜ÌßOÞ4†¤áÏ-œ†¤á7N ¸Å ü ¸5?ÁÍÀM' ¸skK1µ¾~[¦}^QÊPL”ŠÀ„ ÜY}Y¹Ç!;Æ̦|Yä˜ÛúÎ"71œnZ}¸™f”{>M˜{œþog!&dàÎÊ¿É\¸iõeàÎÊ¿É\ ˜;¯1”Ì?0–[‘† Ü×ᜄ ¸³šaq2ËwÆp˜—Ì_Pù0o¢ÕÑ2pÏ[&§UÒU@æˆG}V¥Ÿª~R@<šµ2ÃXÂñ]•|í… CÞ2,['ƒÅ…ñúË|„£¶¿ÎÖI[˜§€ Ù:³:e<ˆÎŒ€f¾éËO¸oÂcnZšî²u¹¾ð×l?¾;7jÙ:wÔ¼÷Çš­SñuLgë” ‘G¶NÅZ1ž­S²Z,Ù)éQTaB¶NUçP©…·RŒÕÂY2‹Vßqò¼Bä(~#y‰V5²dæUC²djV€|–Lþ‰–¾N¢¬?/—®–[pKŽEKñ¶ý–‘,™ü“ùR²¿ŒÆ(¾ÅsZÚ¥Îïh#ì´€±,™ª§Ùg®ã·n·YÍevë ½^Qñ]¶g{5ÚΫºM‡uö™M‡9v: †ÜÒo ¨,éœN4;0çßE\Öñ3}ŸZ†qT÷)-wP•kC¢ äÿãyq-›I‘N?3—s¡ïæÿÀœ çSVr'ÂëíÛ´v!ÛÂY”…C†—p”máOÝŸë/á¶TëüíÛ¿Ì< “=äM¸›S„ó“ÿc#½ ƒîM½¿;‰²RÝ$Z-ÂP)y·É‘n€%ÎÊ5ÛäöK»Qí4ìð &}×xÛ±[tld…Âë²_8Ĭ ”+Ûl”¬ «(¯æßfd~M@<Šm–yÖÅjùYÞ¾˜o!žä@+ÿ‚ÆX“ý:å/HÉ·P«ÓýÐíþèm˜‹Q+ïÂ:ÊëÚ¼ïïZ˜³›r¹ÌZvÅ£Zþâùׯ>7‰A˜ì‹ZÅL yEíL ’QËté„ûÛVj&ÅZ1ž‰A²Zè_HˆÎˆ1§À°L8Æ3:Ãä{ Ÿ‰½AWE4º¥P¦TÒ0\n¢¼©Ý´EŸÁ F§&IJLÇ 5ßI™ú¹|·ó~2?% ž¼iˆ×ÄÍu…òAÏWÊg­,ƒþÆ1r`ÑêÛ/—Œ÷8©›¿äù¥ýpF\K ÆÓÀ(?È>¶Î"ž¢ü0§&üX@Ê÷µ[õS õshQBaê”u¨Óëó ô§­îšwŒÑïœÐ̤ÕôúÜB}¶§­,CýX¸øS V°zÃTÅ`?ï}¾ÚQ©«s@¡¬XW}u.ŒÓ¢*mEL%ÞóOÈf¢éSG¿ýõwÒ.EÿP¸Šòjö.Eæ–€k(¯&ýz#Ìåzuàc”kó™eÜ©cÎ$;3Ì¢<›ý(N!…cùáÕ¿ ëP¶â¼†O2U@d5í¢Ž•çžH¸×|gT8âÉ›ÆܹM»†äž04íRÉE*&ŸHÈ>¨¹Qšm.Râ\&ä"U_½›ÏE*&¬ÐZ½Ëõüž4™]By)ÿ0$ó·Œå"Í‹Æ*žã¸zƒë°}ÝÊ´7PÈEJŒ @ýÞ Î(Ë\¤Ä¸LÈEšU€]GP&ä"Í˳ÉüSc¹Hó¢1gæ8®c°Í2 0Õ\¤ Åðû… ¹ä"e0E˜‹T±Y3ÈEzmMÈ/V-fß P½LÀ,¿èv3ÿè#ó·Œå"Õ|ûѲ‘,X&#ßtv ÉÀï *eo8) ™ÃÊ%Fâò]©m|\ªÕˆ·$JÝi¶|éëíbŽá¦Zî½·0?ΰ÷>î‡w帬Þ=Ö‚¥xƒ#‘Ó¹ˆS÷æ‚ì+±š2”Yöý™ã—{oXݾ0ïà'ó âÉÝ—à³K™úïé`¢ìzô)Ãn(,X½¨ëP¢M'¾(Söd¢6¼ƒ²¹óû©ž,¬‘Ã{šæíÉd¾, Coüuø!9e¼"oå—…Ç4Šß†ÛsÔÅãdi:4N ˆG³Vî06â…5•;ÖÍß}–g¬Ô³8Nº¿á¨íC†óŒQïr ˜g,«{uƒèÌhf¿^~ì,ÃcÊ–æØ90ÏØë»#e;ke}=ý¯Æ„{„ c“=ä-²§æ·cÍ0Vþ Ê£ý:¦3ŒIÐ8ýF¦ÆkÅx†1Éj±d'§GQ„ ÆTC¥ÜÀ–¬…´ã$jËsât xÍêy‘ç–hõÄk¿í¹ü|KŸá"på9c†GJ·&|»É»¿ óóâÉ=@ÅëõcP2;c€’ù“êè!:dgMÇñdÇǬÄÏ,yÅ™ŸOî±Á§±ñ=¯ØàãøññÆÆqÄGñq ÇsŠ þÉæøxcã8â£rl$Z%M'_Í©Ïpµ*€Ì¡ OÓYFÕ¬ 4&‡G^›7+pIŽxäiÐoIÓÉ“öU’ýe4Filô*«¿áó!ɤ‰Qé¤vi«Vtm—c,M§$ŸKÚ|ÖÀaM›ø§ÅEö…ç6Ù§oßÒNˆ4«u¸aå¢6«‹ìé óÚ¥µµ2«í°-ö@>yÒø —4¹Í…UÂ'Î-vPsnm-¼}» Ïñx çú²ê©Ry܇mŽf¶»7YX[¬î3¿i{mæ´ÜÎî?ăýK~†>ü‘ZJÚàL¸‰ò¦6ÿéx[Ë7ðC!œFyZ›Ø¥±}Ï©Ö÷åÙ ÉÛÄ W¹»ß#ØæhÆýô‡*åµ üqír@íÞ-W¦k1L—ÙÝn&DyºOA‘ÐÜ ¢‡ƒéÒâ7ááÁ1§ü‡J#Ê Oîîø ls46¢|G§?ëí0C Û¡ÉËÏŸ¿zECŠã·ëM»íN…¹4ÿOÁùSËäˆ2Ù¨o{¶wP"Îòû D¾)’ZAOĹíWÂÞWp)è3Ú Ë7yÝÊs~ž„+(¯hs~1Zð÷õ÷4X†o+ÿ"/@þÅárî‘õ¶9š‰¬ Š,ú2Hô!¨[/º/t(–Üf³w¶W··&iŸ,¡09×$¾å›û»Ýt·ÍvÕöšús°#Ô:}¸óÊ´L§^ÝŽü`Ç®¶]¯T=h(ÌI¾gB­Î+ÑláuÍmµÛA—²N%s_õNù(!ûGTÞOH©‚"«xíŸäSi;*?Á[sT®=_¡8*×Fâo ©ø)ìY*6“ö¹èg}"&”ä)"¡A~Ì.­]F©@° uI¤âü/þsýS@Ê ¼¶þ2¥*VWõœâÛk]Œ©KÐ0îêÔóñâPVª¡D«£ V$ì@æÕ2d~F@<†ZæâË`2PouÜŽß;'_‘¤ˆ/4Ý[Þ'­C'^´[hyŠ„ý×¼Zˆß½åˆG±…ŽiOž†ŽR¬–.O/(R¡%J‘°ÎTä\!q®—Á‰/”St*´)øG¹Š6éûDº‹Åji­²ñ ÌÖ*áÿûøÁr™Žê7; õúµ)„ÏšÔoõ¦ÓÞskTµÞÛ3J\É‚ß ¹m°ƒ¦¤Q°g¿yu0áTYÀØZ@²ƒ¹©K‡Ž¾ž0–”X±VäO‰ Â`­X-ô/$ÕëcBÊïðPIÁ:t°dtz‰WìKU·Õ½mÛë-ÜvÊEâZOê>Ï Ö€|Çÿ‰vãžeÌnÕx~ IJ¢ˆ_ÍU¡”23O9-ÆÓ~“ÙI”'µkBI¢( ž¼io°+”zaã<à?ñU\Áê%Ð/¨¶UbÈ/ðAßsèÂ^0õ:ènç†ysˆç4ðÊ÷´õ4ëÑ’$TD‹ Ý{Ö¡ÎÛÇÂ>ï+Z=–³½'oçPñÇêS°=eeêÇ£ùª7 èI9$#=~urñWüò­çìzŽïÓZóêèôô…Ü)á¹×CÍF½ÂØËŽç…)Ë£dz~gßõÚ¾lcO£ …Œ‰ÛI}Ä{«Àk¸ò†Á©—¶7ãüu틫͇“=…ó¼À%Þá6°‚²Ò:5ñ_¾auŽ°¬äU)µ3@Ðá*ð>Êú«×d÷½È¼ ?ÅŸ¬G+ Ý «'1a:$’×0Aæ?0&C• „yÇ5Z ›÷ŽVJÚ4D©´ú´iÙe¢M#~½JÈn«éSJÚ4D¥ \µú´i²r)2·\³ú´iM]›†x¬´iùÓ¦™³΢<›ý(N!5³ Ú4y Ÿdþª€1mš¼hˆ‚!ãÅÅ\þÙâŠÚ4Dª,ZºÛK9jÓái`‚6bë*jÓ1ž¤Mch¥© MÃg„3VŸ6Á¥fŸÙI«'Ï2iºF’Õ(5¹`ˆ Ú4Š>¡¢M3+< Ú4†B]›†ø,7¬>mš,ýbxÏêÓ¦ÉÒ/øüû¾Õ§M£ÚW¨iÓ‰ÀmE29jÓˆâ# Ú4Š/`B›F”#Ñ:ø&7í¢®ff´iòšïˆS®KçT— QdœÓ.áôV†Ó.mbT&¨Qh~ÒËV›†8 Ú4ê«wóÚ4×Ñè„Z«w¹Þ€j†Û[By)ÿ0$ó·ŒiÓäEcÏq\½ƒmfeÚ(hÓ£P¿7ˆ3ÊR›† Ú4YCP&hÓäåÙdþ©€1mš¼hÜ€3sW€-Àö‚•e€©jÓ, °ðû… ¹hÓ,Àa‚6b³f M#܆Lº™U'@õ2“7Q¾™ô‘ù[Æ´iò¢qÏq\À‰CÀD¥";õM„C´ŠñßæœsƒÔc]!!¶oû~0Ŧ¸rUä>&wP¾3†¶\Bû-iË´-¬c*}Q*Z=¡¢uè¦bV»WKVO_DøþmÌlÊî•°ˆ0¸½p³Â¾¥>¿j·X½UmtjŽ˜îûýžëKô&†3ÀM”7µ™Þfü“.í]ñub° -³V°]=+^­XcíWàöõzÁ#ºthr4) ÍZ¹ÌXböYv«h'Báü‘!_¦•Vŵñz̼„£¶ÇÖJ£C‹§€ç­>­4I~ñ ?ÒÕE4f4óýX~¤Ü€ÇlXš#å@­´‘òÇŒ¤˜–}®¤¿*¦ _E ýLÒÙïÕ¼w¬ŠiüøùïQþ½öë˜VL“ AQrZ—ͼ(¦)ÖŠqÅ4Éj±d'¤GQ„ ¢3ªÎ¡R ’IÖBÚZª0Ó(bi—z<­D«#Š¥ñóÔ—I,måÙü» 2E@<¹Ç¦˜öi ±If'¬T±´¼b“ÌK3› ´. ˜[l’Á"0ÇØ$sàc“Ì_P96­Ž"H›¢å]|.Ã1¶Ô¬yAª T ‚ŸDY÷@ºZî!8âQÛ&0"HµŽ¿?Ù_Fc”ÆF¯²îÃo8Æ|Hr¹>1*7§Œ @Iò¹¦Íç!8<Ôæ#þi¥IéÑIŠ é¾«;þï¢l饖ç¾/E?Z.³õµµµ~¯%x÷­*Ú¤4‰0 ˆD Û+3/Ì´ùOa(Šä$ͨ^ÄhvåxZN= ­›‡¯õS“Z®UDÁD•­ók‡˜²·ëkä¾ó¶´VY “lnÿû`‹þSO1‡¡Ì²®Ðà%ôÄrÌU¨|w´ÛÍlB¯-²ßºðÔŒÝð£ãÞ[?¼wµSo3¿éºí½Þν–LÎÊkY4´˜SÕ÷„…>»O6ôç‹ìn›®Øí¨fk®ã·n·Ù~½ú=³QôÞ¦ã@v§í6ƒNµJ—ŠËÌO=s7’ŽŽ õ¡ù.·éÈÒíF#¼sC.Ò~ïØß³†ÝÜ®Ùôgžï4v´tôŽ.rí¡>RæÌ·˜JÏðT_uíu9Ú ¼_‚+!ŸŸ®¡Gû ¶9šéÑF Z·ßQçßf¶ÏÞ;õݽ¶\¢-ïî×{ž6˜ºk)è³Uåøâ×F›SÞ­Èþñ«‚ªr|ËçU>U¶-ú oÍQ¹ôh|‹à¨\‰¿5XUî;سTlÒoŒ¤*gNál ¶Ü¥”o}§Ã+Z}§µÍÊrS(OõêÉ2{ZŠ”åþÔý¹þi©çªõÕÕ_¦®Üty36rŠt~æŽ#†Ýœz>®*7²Rý$ZMU.á‚P^íBæ/ˆÇP»Ÿ×jÝÝ?Ç«H’›@{ðô˜'­C‡[µÛf=9!!eÞmCæ/ ˆG±mF¾B¤ª'§X-O¡'9É@5¹®„[ô» Jmâ9#ᛇæ+”Iî,YKNPA£ oMq9á>’&å'D¹'wÀþ‰}Ö´^¤ ÇeFïñh­Ìv:†nEY¿7º¶Ý€ Ûµƒÿ×pß/3¯Ñ¬°/\§ÕC¦ù{žBáéêd_@T¤3׳c¬.­›Ã¢„Â(§1‘KÎŒ@õ©@m8ƒ²¹i\jf„³VO*ðÊJ³¸³)§GE¼Œ²Ú¬MüÓIîº.Ⱥ.á,påMmš7s·}Ç{~oô»i ©§ãÑ—Ïù1 o&r&ö쉀ž±›(+UáP¿þãÿ‰±=ÚÜ­¾S »¼ò}Uº}ÿò]àc”gidŽ'^z‚²~ï+=G!óOŒåT¤a IÁB¨µÅÒ,CôRÉlB’¼š…Ì_0–ƒ$/çPñÍÌë‹(šÁ*ꥩ°hõ ZHNaãÂTwø:™ë-á<ŸÌ†“XÙÆ%¾ÓÀ'(ë÷@ò;6Ò¸}“¾pw ­H[HO£ù̯`ËjP sVOÎ6vICµIÊ*MR´z²fÅ 5É$5ɾÛ8(}(³e•¶¹¼‰²Ò”J¾mxÈÜBùÖ˜ÚfÉêéa.Y‡Žbj¶Í)j›†»[ú Ô.«'¥X±I)fÙ.%à#”4;‚~å&ÊúK%ýÊÇâÉ›†øulœá0K†…#¾l¶+!yg¸X°¥œ#‰ñ¹ËÓªWÝÖmßWižÐ¦•lƒÙžÛiÕ0iøT¶a‰ðYàÇ(+u<õZ‰vêÙö_eG«ëhK<˜êoÒö܆$[ž¿‚§ïûÈ:”z-«¾€/Èì2ÊËù!™¿# ž¼iÌ â9Ž«/Õø²ë ÝoL ô @a a¨KXò÷ÜN£%¡[Bûv+ú€.‹¾‰¹©÷@q¾ÜDYлÖb*ÓŽ %³WUˆ¥] ¬{ªþ¥{å¹üCÌ_OÞ4fQñÇÕ\í+V–=À±pÐR Vj-0£%GÝÄvJôÝ9e[÷ ~ð)Êú[†§XWèY’¨ÁÆóç*Í­äBž^fù®áéücÌŸÐÌGfÓl¹…ülÏYY†üG-Zñ(†{œN©Õin;Å;ôU‚wèú‡ÝvºؘÝV`}xå{ÙG–0€†ßz&,Åo=z.Mæˆ'o×áÅÇYó°=Ÿid A)P+õÓøüÄW;*uu8ò´r]õÕQxD,-ªÒ¶çˆË,pÎêJÔ æ”í¹yÔê<\ø¼ebJz™•Âf eæ9M÷]zòƒA ÅŸ‡=Ôdw‹±fÝ÷é tD¢Üòì½íµ‚ŸV“÷)†˜#L¸"¬éSGi;FÖ¥ˆJ¸Šòjö.Eæ–€k(¯˜€úõ†ÓjËë+u«§J¸n™ØƒeÜ©cÎ$û%ýœ…PX™e=ŠS(MÀ,Ÿ+_Ñ®%µÂ«âÉ›Æ*žã¸Fq!mJ†£¸‚^*ôÒ4Ä¥¸^¥J†fI;ñ/ê²ÍJl'PÖŸ#kaþe_’pÄ,ϵ0½þÌŽq-LæÏ8¦µ°0:5Ö—`{ÉÊ2ÖOàÒ‹¹‚ÕSÖ+X:§fâúˆwIµ›b™uüelŠ9yjÛI½JCê}x e¥ïâTàoHTI:ì‰×2på|übxe“;YübÎêÉ+bGK·¯¨°oZòË"ñÀêÉ >°Lœ÷{ÂÂTsá–ã¶C"™ÌŽ¾Þ…:”ø¢_ß ¥4iÖErÐ^½¦0Ùe Í]X¹ÐûúØ=ñ/;y]„|*YM»hÂYƒ$Ö¼æ;d~F@FÙä•­”« ¨Ÿ <†+[dþ©€f®lIÓX…3sW€­ÁöZ¦v’gÈP`Wž³údn5‡ÜE ²nî»F'çh“ÇÙŽëÉ6ëL>@YGs‘…ãkÃÞßoЗ SpéLbÝg*’õëhk„dàYuT/0{Óên{æ}dþ–€x ½ýh"å–ÉÈ—®‚( ºˆG1ðOéÒ¡m…“šI0t{4‘r&Iö>š0!Ÿ»©cR ´*â1Ô[žÚ÷œZ]eÏW¸qnð ï Æì‘ÉÂ+z{¾r½{ fO¢¬ïßÒ2sd¾ Óóéƒf]v¨€ßã£æ9KñÆz¢óÞl¸ïƒµu8p¾¯c{ÂÉ^Y·&¦3ÀM”7µ›tŠñ;G4½o:¶lE>„SN¡¬t3BÎÁ©NÁì4ÊÓù;øC8Çóªn4ÌÁmY™Sbt8‡²Ò ²D¿ÚÙßOqpY¿&‚ øØêÌÑlÉ+¬ïR¢ƒ‹`Â…¬œªƒß㻊²£0²Næ¯ ˆÇ°ƒËßÑ$>‹À›(+ÍìùL†ŠÞ¶WcŽç¹²‹âtÈçlJ’ä<†ÌÍ…£ÐyÏô?†órÄcèí¿fa}SzŠM.{7¦…Î#¸9G½…΄.š)L ˆG³V0ö¼Å{ç Êsâ8á^ÝzÝ`Sn0³x?œöÈß_ä ’ô ©Ÿ‹67è›iH'b•öΡ|Θ{Ÿy]süªWßOÑ?Ý„EžQvLNþŽÍQÏɧtélYÑ#ÍZyÂØËž¢%J ¦<”àÇ©ÑUxòîRµãyá1dÌ0Üj¸ ãÔRsÁ¦½À'hÊO,“Ëå·g?…íO-Û³ñQµ€%}m'mh¤%XNYׯSFÔ”!dn8²þ"£Äv–CßYø¹QL6X½í#ï©_a”‚QÖ‰ˆåyàc”õ'ÒOkº~›S Ý^XÍnÓÔ::¡[u›ûÀûY'<ÿü¢ì<ƒËšË™-Ïaû¹±0H<‹‰pP W YçŒÅBÊ¡¬ç;”g²Áç;B~o_?AþÏ0¼Ma>Tý(¨-Ÿß”¨]ÞGYÿܘ¼×¾€§¾0浇ZhP>Þšž Öe?9¯yO!œDYÖ»ÂÞïÕ«{ô±.pÖ^Ù¶éJ‚½¿ï¹êM;JîG}¹Â§<¢Z>AyS€—𜗙xÑÄn#íäÃ@}ÕP벉œ½„ßžAYÿ~ÂràCŽ[jsÉð«PÖ‡ºôåÈ—ˆ0Â(믖‚9°pú>úìäß÷‘däîÁÏZlÛ®~¿Òöì–Í‘e_à38Ûg–É9ð, u•ÒÁBt?xÈšJ¯ûDÚY”gyáÉ×ȼ›²º!k_Xc]ó‘ù#ê­ùèo'VÞÕÆ”äG*¸§€øF¬±T·ºˆÆŒ€xrïÏE9^­þ‰~ç_’[ÊÐ'ô2IJnM5ßýŠöH/ÜZÖ‘;n£á¾§Å¢ ˆ[òœ·ºG«Þi}YÆ·Q[~¬£÷;”§ý:Jh ëÇ%hÐ œÖ¥Có™SÆ6ÍkE¾ƒ:Šª8j%vP’Õb¥úzÊW“£¨Â(ŸÐw•Z x&Y i[É~E&:—Ä#O+Ñê‰×ÁÌÒå×Òú —Q¾lÌpjÏGæ ÀY”gõ½A66Éüñ䛢ˆÝb“ÌNÇ›dþ¤€Åæ­Kæ›d°Ì16É\8ÆØ$óWTŽÍ”… ÅBý‡Ab¡±)ZÞÀç2c AÍ 8úõW¯¾Mù’e¶‚ªùÊ2¹Q#]-dþ¬€xÔ6Îüëâ÷ñjÊÇâ/ñ÷šì/£1Jc£WY?…ßpŒùPV§$R× ?³¢½EŽxù<Òæó58|­ÍGüÓÅ*{ºÂ¢Uf©Ù®Úž_¦UVémàDeö¾½,¯bús¸¡ÖÍŽCL§«ìî!±^yb¿„E¬"±}Ä‚ÿ¦›so³ <¿7Â(ßÈ®ûJåñKØæhf›ñÂ"{Þtbû6݉h;^êÖv*µ_¡ÖýÃigâMéw•‡µõ×`I(\1ϽQ_Á6G3Ú_s”°>ÔFÖ®¹oÁò[£5·g,È9ësþ< WP^Ñæ\‰sî |7š Ú¤¢„”+cpÑ¿mŽf\tªQßölï pÍF½åøòõó·àB8…²Ò™£Ã'‹9¯Ÿ?õJžÔoA„peýÛzZ9¦ÞÞòKÊ÷–”¦ÿw LÈÏé*É?¢_dz‘ð;0!,¢\Ôfõ2µR=ÒŒFÆ«TïM^ƒ=¡ð!?÷˜þ=ls4Ó›‹ìÛ^áC§Ðè+4?–AŸ ƒÉݬ®º ·ã¥~ëMåÿp&ÜDyS›ÿgÄ¿î³Þ¡Ñ0ÓÊ{×û>¼]m³F½Y§ïì½ñ»ž½¿G_@jλz5=gr꫼}Bá»æ«<[d¥z«ÚèPj(ö«Žíµ(³_~öEt à¥]÷Üeæ»a"©¦¥“ “w:íA'S_ãïAðÊÏ´_c}‘íÔ ø ñ³™»o¿í8øQð:>ó÷Ü÷-¶í4Ü÷Ò¼mp%\Gy]›÷Ãxß¾EÐ]ïzÎÁƒµ Ëöë?Ðlv#xÆþuÝëòÝÉ6>Dù¡6ùûiä·Çõ*è ÷§sï k°ÍÑLOøyÔÂmƒn§r‚Ùä©\‘­]x ½ÝûíîWUéwqÀŸP8czòAî°Å!"½µP³½ïÿØÚw‰P&47ùø\~Ϲ×* ï² þ»F›â|56Q˜âí !ÿè®v GüÓ—,ÿ:®ƒ=á8'S„mŽfºË‹ì´füPÿÝïlƒ³üã{P"Ý4é=MÛª<Øzß.³[ÍýÝp¾¼cWö›]¯^+U‚™tõ !ßÒ Ð&4wïàNò`«ÑÔžç7A’PȤ¨_ç)„ˬ+œD©Oh¿B ´[Fë\>º\Øæh&º¾Zd_µã‡³aªÒè“Ýi»tN¼浦­‰6]%:µ÷ìvø«_·]…½Ò}¼áW(¥ý>GÇnOQ/Q(*|Px Ò„ÂÐo0z é Æ”íƒ0©â1i>T׺oâƒ=¡¹ïËQº•-êTÄ{]ûmÚxBþ)ôË1ô0ØæhìÃÊw¾ÃÞ†ÉOë-¿íØ©GîS©½BsV…¤ºËaJ¬-ÞkP›nUK ‘3“µ…°ºŠ÷ LhnF/ßÂ`›£™^\dŸ°›û $k¸»uŸ<'Xæû~ÝmI3=;Bs_k¨K ßìï¹~ÝÚtß®~oQ½àíÛ^жÒD9”´‰ÞŒ<óù®Sf?[¸''/Oõ@ð&ÊúIŸ T,GS^?è%iÂÛ{ízë}½8Ê[_“ê„ÏP~¦ý¯ñr7)æÖÂë”>BÁ_þŒ …Œ=šì*ÅžÞDoQÚsê»{í-Ëä_èŸð„üÏOÇзý ¶9šéÛ kû•V§IâK¼Ž—Ù [*:ðænh*lGü[P&47D¬²¤ ÍÂnôµÌnÖ[ A<ºÍºÝPð榄«(¯êï\é[:UþïA˜ÐÜ®ñ—RUžøÍ’m(ÄáÀjÍ"Í^×ÜVÐYøíÓ_ÃÜ4zò]Ù?" cUàD³œ¤»?Ãkÿ§|ª í¸âÂ[sT®3ÙkÿsôtÑL¾ùëÿ-ò_P%iUËGVòÁø#©WÆñ*Ï¡|Θæ¦È sà”•[–27œFyZÛ.†›ÂôMÉö ¹Ìuâ<ð6ÊꙋÓd@RAÄ4FÉ{Hø1ÊJ³Ty)¡œá:yP¥o ˆGwñÉBO s*Ù:eäÐôÚÿùXˆzkÏA^;0¡Ê j«À{(ßËÞoÉÜ2ð>Ê&3Z¦ø-™[>°ºÂ­šsL%= Qx|lu³ÕjR9ÇXÃ­Ú îª²¬þÞùÏÝß79ÐÑÝÇnønÊ„¬ýÙëÄŒÌP}b¦Eã¿¡8*×Fâo%_{âÿûï°g©Ø¤ßˆßî¡Ÿÿ­çr) V›vkUX¯Uø+LÒ?Ä»óArü)öPž\HêdŒÔ]:ÌÝ=Æ@±Ì:~'<(&¤`”m]ú³iàS”õ»„,:’ Iæšõ”•(†¥0R'nÚüS‚± À”gŒõH©Û*dnx åKͦl«œŠ\0ÄË(_Öö‰£ÌõTbx åkÆâTào‚’{âµ Ü@Yiª$ï‹À{(+MäýbxåûÚ~q¢Â¾i5d;."ñøå'Údž°ð&Z8yßvÂÛhv;º=ª¡G×Â#Ñóð.„Æב}Ó‘'†˜ÏVñ.0}Éó3`C˜pêOÛ½R²y…}3Ì^Dù¢v…HÏwÈüŒ€xò¦Á7Ü8š™ŒÊO»&a›0»i×QáðIø̤•(y.9ç:cTyŽ÷÷j}'˜vEêV¢k¹ÔO85ô²­Kœ‹À§(ëO»nÓ.;ŒF¿äè÷E4:á-”oeßPÍLÀìÊKù‡!™¿- ž¼iœCÅsWo ì®fÙÐV‡³P¿7ˆ3*Ó ŒX9mæq·ÿèT»Â쵺¿ôa¨)ôcSp/ÂÇ(?Î>À¦T„OPÖŸH{6™* ž¼iLÙ9Ž+À„+±ØI¾]§À®`õ‘ Ö¡ÏešCî"Yw#ÑÓ‚ÑN'3…ÏòÂ~WÊùv³.F {Ÿ’íF2·~¤~Q÷£yƒ$Qažtñ"«N[ã¡Ù›(ßÌ?úÈü-ñäMã"*žã¸:Øž±²ì&*Ù¹ *¤v4·9çÂÛæÁ²z7ÔIôÙ¾íûP•qeÛ’(Nï |g my íwÉH[¦SèsˆRxe¥£)}NÊîÕ%8á”Mn/¤ì^ êp·nV³Én±(á‘#^×~¿çúÒ‚q—඄›(oj3½ÍX(ì‡{W|,hˬ,›ö~…½rYÿR:„‹£,Õ’qÿ†Ð^ˆP~”½“¹ pe¥æ“óo2W>FYi¡7†’ù'âѤq>:ÄÛt=Êï*aÉŽ]³pN„Ä3YÍ°(x'`ö‚ÕmåÝ,dþ¢€x ½ý©×ÝA;ÁöIÔöËä´Jº Èüñ(öTÇué\EÍp4sž$èåíp¢²C锣ϰv­®©B1ÁF§Ùò™$Ùkh6Bý^>mFz”ÎK)0«×QV:%•¸$=òA¶Y‰Ç}à”õWœ7„6î£ce„ÝpH’æ‘ðÊ7²ï ©VJ0»€ò‚~W ëÎd~Q@<¦Ýù@Þ‰Ñà Ê+ÆÜùô‡®Éú5Z>FYzq™™qçëpa„$cY¹3UÆM˜Ey6ÿ‘Ì_¡·?þ:\7¤ aTÓóÖXöùÈÓ»¨7°ÇcFš³¢ÝŽx4ke…±ÑOËRF€¤õštæuÍñ«^}?E‡†ÁâÂxÝh®ÃQÛ Øò?‹V¢€­$¿£ºÕE4fÄ£ÙjòlBJ½ ¶¶Ão_Œ¤_{ÎÊúŽÑ_õk‡o• ¹/䪹îXõk§‡òßi¿ŽiýZ €óºth£å”€±$Šµb\¿V²Z,Ù)êQTa‚F¦ªs¨Ô€Û3’µºMN¨q Û«(_U¡–huD Ûk(_3fx$ Û9”çòï.ÈüuñäŸâ¥¨1Ä'™°R5lóŠO2?@ÃÖP|, ܸí5”ÍÅɈB¶s(+EŠ\€’¹ð:Êú‘¡$d;/ žÜ”OqbsŒ¼”Ï%Ç üC ÇlTZž¯æ™Î.6é)Z½oŽEëÐŽ_V±IOÁê}S+X‡vüòŠMþ=‹clÇ/·Øné#6…xgl’é“f› ´. ˜[l’Á"0ÇØ$sàc“Ì_p\±É?»óÔ9Ç&O]ÁcL±y2ùшÍCV|±NÝ<‰ œFy:ûð8‰ rçdþ‚€xrB¢0žð( $x‡5¦ðàÁÑpx øž«—C!Çð(Ïã`:«‰VO†îXÿaPÞž…A}ÿV«Èüñª€£_õêÛ”!9¿AwN£¬tæ]¯ZÈü•Ó°ÐoÅSú ð?úô“Àˆ_SYJö—Ñ¥±Ñ«¬%ø ǘI~*-ŒJ'µK» ßáxÚˆݬíê–óaßnÕ*¡ÄÝ÷x¼¾Vf[„òÉ—Jh‡’•¨V¢š#ª¶s3:¶ö:­úNi}-`üßÆýº<ÍeP#d(3mšóMŸ¤ˆûh®Uȳ¼f„ó(Ïg×w¤ò¸ ÛÍœ°xéE|œ ²µå®–W˜ÐŒ”ÈÂvß ÿÿr™YÙR«Ð2Ⱦ@ù…¾w6l¿ý&|™Õn8oÞxÎ;Çói1á Aï”o÷ lsW»ófß ƒKAecäWuÛ=Ñì@‰ ~ÜyÍhJidþˆ€êCšuÔGåÚ˜ñÿmÀž¥b3i¢A?ëËdl(©îÀDÆSÖK'£¨ÓLk•ÒO¢<Ù«!Ëì#ÓiŒ?Q®ñNó/3‰q±‡¼ ÷s ðº¿!&œz;¾Y´º[hò¬­Ž–ÂX¨•¼…ÌO ˆÇP£<}Õi²`²û¶ãàŠh…‘xèN§Þº£\#m:Éæ¶h~Dúuô#é[x|G˜ð%Ê/ 6ä(I?Cù³ü’Ì. ņœÐž 9–¥X-xRãNs´”Ƒ«^Bãõ>Eúy'4ÖvzÅ„Æy9ý„Æ’NÁĈ kÅøÉj¡!©sÏ&¡ñèä~d [7›„Æ ãvb"ã 5{$Õ„ÆÚfÕ+úD 9Df ³ô ~½éžÕ—Ð8K¿˜³R«ö™$4V$óãIh¬ø9$4Öv/µ„ÆyM¿†$4΋ßwãhf2j<¡±¡iW %ç\GbŒÆšÐX±uÇ‘Ð8«Þ€jfÂJMhœW’ù ó¢qÏq\½pý3ËÞÀ|BcÉÞ ÎhŒ ³ °)aBBã¼<›ÌHhœi83Çq˜j-ÃË(¡±æ›BcÅfÍ?¡qV¶ÅÓç}d~@Bã¼h Ihœ['0Û3V–€ù„ÆšÛœy&4έ-‡$46´…•EBã¬v¯†$4Îj÷jHBcE‡CBcE¦ãIhg̵Gͻ̷gÇäà‹pjŽzž6z©ç]¦mäSÀóV_ÞeI~Gu«‹ḧG³Õä÷…Oçzû€ó.»02RÖåI+ë+Qͺ<|?Gèb’.8½Usܱf]>ü[”ÿVûuLg]– o ™f]V¬ãY—%«Å’:E&d÷Qu•Zp½G²Òö²¥“FKÆÓN+ÑꈗÓi)ãò¬Õ—˜.¯®‚Ì_0–˜.·Ø’q9ëØ’q9¯Ø’qÙTl(к$`n±)&[Î16ÅdËcŒM2EÀqÅ&ŸÙĦyÅ&ŸBŽ16ùGŽú±yȪßMÀ&w‡´œ¶ú²âeÇ­^¾ã„¬xy…=ÄcèíGÉŠ—r‡6¯ r‡V³ä³âÝBÕ,Y‡RYjîB(%z;%`l¹!·f$+ÞMü}þQQiS-^e݆ßpŒùPîÉèkÙicYñ$ù,hóY‡em>⟮‡Éä¢M˜R­n7ÝVÍ/Ó6D˜­¯Úi—Ù¶Wo($dz̙ÛÛ~±È^ðK6ßFƒUí¶³ëzõªÝ`ï¶övÃñ£O]¸“³ãzM¶ë¹ýGJS÷åÚ/ò|±G¶j$†÷¢cÛΞý®îzô|¯‘ÕÃû’þžûž~W+KÝs”Ÿk¿Çg‹Œ¾Àºõ<ö*¼Æu@û\]Þáሖµ‹ÒVìÔÃkžvxT+“Ýg(¦ý* ‹ÌŽæý^½ºGõÙsìVð>;FênÜH©îP^Ð&Z¬uóÚuš ‰WÁ„°ˆrQ›Õç‹ì[—U]Ï /íÐqÍÀ3ÿn†îmW÷êÎ;'¨b/óëyXãeöÞ ¯úI¿Ëø~Ž²ZîšX7C¡93Ü!rß°Sé:(ñÓ±8À«IoîPôÓˆyæ[W¦€¡p^I“ãÓA»ÉLiÅYòìÖ®C3Ò½2[_Sx…‡ Møeý»m£½BV¶Wø´?6ú ò%¤«2P…0 ‚9¥4ŸMp , ¬¿ ›OmÚ€£Bë=3Ây”çµY® bY¦#¦nÇSæ,äÂH×ÎÍão7èqg#‹/Òœ¶Àƒ¯uÏjsZLoOåEÖ'`G¨uŸ1¾8ÌTÛû>WBs‹Cyï{ÛÍx_y‘}ÕòÛÁê&<Ú@ =ºÀd7üè¦mP»©gCS) K7qI§I™õ59 ÎAûV*­JE¡……)¬ÞéPÍ~ ÛÍ´ðÒ"{É[ò½SßÝkSc·¢«•|a/MVXËv,–2HÖËœýVà¦õª£ÐТËà@òdtÎe¦éª_€5¡¹Qò®ú%ls4ãªS‹ì/ènhK&L‘/Íë'àB8…ò”þÊ4Ê×Íeø°‚<¬|CR¾-¿?Bs+ÓOFàZÝ•³»Pf½Õ‚ôKüÄ …^þ%Í^×ÜV»íøíÓË0÷3£>( dÿˆ€xŒUÁi®5óu>Uö]äk¼5Gå0sÀ÷çVô‹£ò7-Í£¿@‹üÂJ< `è"ôÙÝÝF§ÚîØ cˆZxe¥ûWÉ!“v!šÌ€×PVºo•b6å[<™›Î¡¬¿t-¼^a3¡¨§ÝõìfjBîAíq¸‰ò¦±Š¡Ï®MS‚†ôk¬]É7ˆŽê]‰_¢8*×Fâo ViùìY*6é7FRi1¢2P£åRJ‡u†ÿ3MÛ;Hk—tZ¦QžîÕ‘eöR‚i–uN•õ—©Õ’zÁË)Ìɬ˜g+v*J‚†iG§~ëµ 3’Z%ZM¯E¨™¼†Ì_0–œB³an½ Û¤î;쀧À ÖCôÉñ€_¡üP‘¤&šuÙ=«yÄá|&1¹HŒúâ‘•|õxœ‡©yËäžÕÆZÁM»×ïœj›n™ôB‘nI6)R-KòehrB!ûYÖA8À#³wQ¾«„²ÎOæËâ1ìüÇBçW vø1ÊJýß&<ÜOHÙ OPÖ_ÑäO²5:á·& ÝßWìßäÂqf§PžÊ?üÈü´€x²{lÙÜúÄjÈPfÆÆžbÔçü²^MÜPVÚ%9Äíc6bê9¿ð©DL&•µó/ EPWaY¿Î”Äš6Äcè퇋±ñôºcZÐߌb¢‹xcÿœ.úh5) žÜ§ãKh‘%ËÔñ·F¹ˆ–z³ƒ(€9ný“9žÛÜÖÿ-JÃë¾÷Ãɶç4VÍíÿÙp>Ô·ëöA°æUÉ¡=|Œ²þããèT(?ÊÝ+wwúÆ’ù£ðø¹JNkìÿëõƇÈßg½‰}fqêágBwßñì¶C_mq/¡D[^²Ì…--1}¥þÔŽï‹2º¼*ÉË`²Üý}Å©]²šÛM®©¹/¯£|=û(&sSÀy”çµÛhj™î%„NÍMd]‡è0àÊkÚ´&‚ù“$1ó¸p‘Ó· \̆~Êê}Ç–¬]…ÌQ.êÅe¦Ð$ç€S(«-’TV%[å2pe¥H’o•i C™©UnP^0Ý*©û”[e¸fu;”Èö`›£™ »¿È^ñþ'ìÀÂ<¨˜ÛG·£Øv}w×ñ¢SÁä_~ö^]Bs÷væ›û»4]ö;Û­Rø!µzÐ`7¶Øƒ¯åú`F8ò¼þÆ]“(F§Þ‰b0á¥uö‡­ðãïÁÖÞûZaK³ý ÍmÜ]bø…Í›0âK*ì`D(¤)×d÷Œ³|!šSñÀ§ HÉJ¿FÔ Ÿ¡üLû5ž°¤ÿÞ ê~8؈f‡Ai]¥!Z`MhN î<8hØÛ¥…À“úUlµ’&^Á5¥‰ìÃ8¡¹Üê"{ÞbÎ;¼Šö¤{õݽÆó¿wÞ;5š¶½úv'Ü4‘ïSß‚)á*Ê«Ú¬'ƒŽ´â;N­ô`ó¡|›z B8‰ò¤6©rÓ}GhÁ(õ;?¬ÒRËsß—¢-—ÙúÚÚZ¿—¦ìƒ&¡95럲æ†Øï»ïx·Ï7V=·Óª•è„Zkwy™F‚wnÛ‰v[ÅÎWú…Úx Bs;_â…‚ÿ?úI0Þ÷ö®¤ß¦ƒ7 4·AüebœÔ ‡ûTÁ®UîQËD^Ôj }Þ;¼Á;£o3ÑÜfòÖ õ2ºˆúÅ"û…Û®W¶ç¾·$fD!@ö|´:Þaïê¤/Íö¯êìó”QôûäAÒ/ó/@hn30XׇÛô”}+¤Oü<û}4{t¾ùMtçt‹¯î³7Á;¼aõæ¾ëµí–ü™”¼á8×õ?À6G3KŽrà$·v[ÎíFƒ5\÷{R »¿èÃGà |¥j7¾{ühšëÎå«îßÀ6G3U÷h‘}Ìeý`uË=2¬¨0nü®L`¸’kóßL—nO¥ÿ Løeý,”•E¶S÷ü éív°¢|¿W¯î‰ÁC´«ns¿ÓvjòS¢Q ÊmÒ£!jùÍÁ›À5××Få?áE”õó>Lð‡ðÄa½Eùëü¿í4™[­v<u®rÞõß‚0¡¹ÓT»Økz¶gûlÛqZÝæ‡øQä×AOAža7ª†Ýí‹yï~=íuÍÒ¯÷ïðJ„Â>Ý)àb˜Š6˜ä;íêçí»t,9”þîötŒ‘C·{N4íð1(J¿Ð¿ÇKš›žÛ«U³½ ÷1}ùîù?€ ¡¹Eßµ0D££¶a¯W:ØZ#UaŽöA‹PëóO¢ÙÂëZÐøÁH×N0Í{Úÿd™4ä/²D@<ƪ«â¤L0|oø?çSiw·þ3Þš£r „w¥ÎêÒù/Vt˜c,ê^‰ô]éÿŠù¯–îVÉ [ÂgÃõ/ÿT¢@±¼ŠòUc¾›ªÌFæ Àk(›ë5Rï “¹ àÊsúŽ‘ºNTë×ó(ÏÁAÿNùÏ™:h±·Aî,+,çPVj49ýg¸å?£} V.¹uÿnùÏVOXÅ€kH»(ÙgÀ(߃‹þnùçL]t2tÑî·ŽEà5”Möf)úgx埭CzgY{èŸá•F`L¨†fòØ?#Bþ TÉ ]ù–¬Åà&Ê›ù8Æmàc”çã7€OPÖÿx&=û#óOÄ£Iãv¤{-H…#IÝ{uµ«é4²ÿ-r¹µ¾K'Z¥TŽÝðÝ”I2YûïÖX—dþˆ€êK-ÿj€£rm$þVr–þ¿ÿö,›ôñdô³³ñ¿õB.ãàjÓn­Š_®*ü&é_?W~ú/Ýw˜„é ϧ °â?µQKkß|þë 5EïÅóA^@YP+±Ìæƒ|þ¿¿~ô§îϻկœò3͚ߨuëþ_OIRÙHiIþ$lì¶s w2;# æzÀ“À‹(+UQ¢Õã¯íFÝNÚKf×bÝäÝ4dþ’€±fšMsûyx“ˆ®ŒÔÛn+Ó7>cžSmÿNÃöØv½%-i>v"¬ \1Øfíz»1(ÿá*Ê«ù·™_b›œi9uGvHêLÅjyrø$ÝF­Ô´÷÷éSÅûÅw_ÝÍKýŽs„ÿ!ýÇИ„ ÑßàÙØwýPƒœNmÔkô±¾MIsÈíéæýZ𞻿ýõwŸË3çÝ+aÂ`Eæ‰yµÝ{”J× ø‚PkôI ÓŽoï&…)Oh{ÒJœ]æ¦|Tá›kK†)Ó¥CvF@<šµ"¿Å$¤ IÚb’¬ú’Fž£` Ì @¡¦ä™%ª– ‡*uUN£<­5:'æüûÙ ÂÒ'OøÍK(—ŒExêŽ ™›.£¼lÐlÊŽË)«§lpå;ͦ$á%s —ਊÂE”ó÷` ð]Ä“7spZŽã ¤)ØžÊ6*Y/BðL ¤#ñ@Ú·)cTÛñ|¶oûô·íªÔÝ$P+ŒÍ‰É2ð.ÊJ+4¹™[–QVZ‘Éõ(dn¸‚²ÒLY/”É|E@ ¼†ò5ãq*pˆ7”@:ì‰×2på|übxe¥obò~1¼ò}m¿8Qaß´©š ƒªþð Êú_4Ÿ0ÖrœZx$oÛ “mBÛ¹a8k8ïœmRF1º.F7¬½z-pÙ>ü${…lC©š³cwméÓ3`Ã{:tÉYO» ³š½ˆòÎòÌ$?yÓòöŒuÚ%$ÕÎô3€Ý¶˜€æ¿fVž#äý}§Zß ¦]P¯b+Ì ú«°Ÿ–wQ_ Ûº‚¨a8í*Z&¦]·‚i—ÝjSç…~ÉÑï fÑè„·P¾•}o@53³K(/å†dþ¶€xò¦qÏq\½ÁUؾjeÚÐY'f ~ogTþ·Ç`šXeîöjg”QTL'ªÐ ÷$ÃëEëÐõŠ¬ì*‚Šð ÊúóiÏ&óOŒ]¯È‹†p×|¬6Ûs™ØI~hO]xåsƆÜE ²îqB»öǎߦì?<Îv\O¶Yç`ŠðÊ´›u‘…ãkÃÞßoÐyÍð.ªe¨ûѼA’èu´5á"ÊJ_1ä:ª\¸ ¿XLXcùjAæo ˆÇÐÛŸzm{»ò¤¤sêÔö¼e2ò¥«`> ˆ.âQ|=:ÌŠ¶›8âѬ•;ŒõÌw¿7&˜—å{-GxesG×μ®9~Õ«ï§è 3X\¯-Ào8jûPâàqê9߉–ÝF¥ŽíŸ3<¯ÌïªnuͬôåÇü›ð˜›–æ˜^™;–²Ë9Ú-¢ÔO€üœ»¸?ŸÝ¹?ý ýìÄÿŒ½¹ò¹3O«n«é˜ýοž»o)Û±BG“tû £æ¾_±N«æxa®©(¥ÝŽÛh¸ïižÓýå³’ç¼íÔ=§&þ6Dë-¶í6jË© äF¹C÷”ÿ ý:J÷Å>0Ö•KÐ8µ‡þU(ñ|t,÷b­È÷QüÊÉQ+±’¬KvžzU@xåúΡR .‚IÖBÚ÷¨>(к$`ìŽãè´­žxí·=—ë3\ [š† §ö|d®œEy6ÿ®‚Ì_Oî±)^îCl’Ù àc“ÌŸ0£Ø³‰M-òŠM>… clÒsRÀŒbóZ—Ì-6é)Z}Ÿ³ŽM¾ÝÅ?l)6ù-ŽãŠMñúöbSˆÇqÆ&™>) ~l²¬i53è^}8mõÝ Î*dL¼æ€Q~8¿]†¯.ó[ñ·R÷S»·e¸Gaõ†9\‘Ë{¬!ó×Ä£VqA—ãGg¤ñ[Ië–Æ>^e¥#âQìi&F¥“ÚÓlXQŸÏ"ŸÚ|îÃ=m>âŸÞ¯±§+,: _ªÕí¦ÛªùeZ­–ª¶g·Ë¬æì·÷Êì¶Åö½zÕY–O±~rÿpY“úʼnŠ_çö|sŸIåñ¶9šY]Ï,²WaêƒÚƒà¹49.)L8ƒ²ÒÍ!r« É9p¢¥Ë4 •>üaCÁí¸4¡0ÝÖd}=•õ;Û“'¹ b„×QVšf&š¨•}æu9y×'ûGTîùSª`€Vö^›çîÓ¿'xkŽzc_<óœ4ÚÔ?%`ì¾Jnkä-´È–ejœ´9'ó›=Göâ±+¯£l.‚S¿ö“¹påùìWBdnÈPfú+¡ðqP÷ö®Û²²KdnWQÖïé§WòüÁ¿BÉúï'ðYÂ)”Õöff¾SFùKxe¥¼8ržKæ.K(›ÔcIñ\27 \FyÙ€“çÒr9h–B 9¢søe¥Ì1‡hfÌ /ºËßÂÿžJ(è˜[¶§ËÏ>…µgÖXGc2D@õÑX‹ÆsÔGåÚHü­Áò³/`ÏR±™´?@?ë“Ÿ5(‚ª$@;òÈ?‚í ʲÈ2{Þ´íšµOö—)B+¤mämù.§ '³b¶F< 4²pxê ùþK(+UR¢ÕÑdh…ÚÉ»qÈü¬€x 5έdÚî¤X[„¶ŒrÙ`‹"B+É»ÅÈ|E@<Š-vT{«cHîÅjY;,BK=P†Vš¶x9} å5mÚ÷I¿Š¸ ç…òpZiê¼SíCkR_ ê¢$®YÚ” Fª¢m^‘:侘d¤2]:ôgthkŸ­dµÐ¿xÁÓ¼íèÌòÒ¡Už“êê4ßn‘ß)$bóVOvÞ:´¡â# ÑÞAùŽA³#ÑÞEù®A³#Ñ g|óîÏÈüŠ€xò¦1Dˆ6·~lˆ­©~̼­d?v<Æ(!ZÍ…GB´Yõ)C„hÝ9!ÚÜ‹ï±5Xq×0/D›•gNX©B´ªý­ìzû¬5Pˆ6«Aoˆm^£ ᤕ*D›IÄÇq zEØ&ÌnÐ3/D+9æÅ å!D›U <„‹(/æïÁàÓ„hó¢qNËq\$|<Ï2Œ Ñj.‚ó¢ÃÜ‘˜,[©B´YÍÈÜ¢•*D›UBæ&¬T!Ú¼B™ÌW¬T!Ú¼hLG>”&D›[_N¢5Ô£d#D+Ù«üx„h[7!ZCÛæ…h³Ú$3“VªmVÝî…ÈÓ„h•—ìÆ…h 9DfB´YúÅ¢•*D›¥_ÌY©B´ª}E&B´Šd~¢Õ\ÉUˆV±uÇ!D›Uo0Dˆ6¯0$ó„hó¢!\Æko0DˆÖTo`^ˆVsƒtŒB´YØ!Ú¼<{ˆm^4†Ñæ`s°=—i€e$D«9äæ/D«Ø¬ù ÑfÕ P½LX©B´yE™ D«ùöZB´yUÁ|iB´ò¯G‡Y…hk¥”&D;2/ËöÚPH6nÈ4ehóò x GmÊW†V’ß5Ýê"3Vª mn#þMxÌMKsÄ(C[¯¤ŸƒI‡ö"ÊÂæŒeöâÜ_uh…¡{ZaÇŽ·È{5ÿ«-ßëzƒòí×1­C+A㼕½­b­ס•¬KvšzU@˜ Ù¥ê*µ0à.˜d-¤}Ž2­C;:­D«ê:´š†Uuhóê*Èüñä›Cth³ŽÍ!:´yÅæZS±y @k€mv±9D‡6«Ø¢C›WlÑ¡Í-6ùÌ&6µÈ+6ù‚pŒ±IÏZS±™–šXQ‡6»Ø¤§hõ} Ì:6ùnÿ®5¦Øäß³8Ž+6‡èÐf›CthóŠÍ!:´ ±yÈj:´Y…ÇÚ¼Âcˆ­æÛkèÐæUCò hV€ží9”Ïõøäµ½Kæ§Ä“7%8Çq}(¢C«yI"[Ú¬hÑ¡Ul›Y’žë} 1#G»†òÚ\gˆ­¡SÅÊÑfu®xˆmVn;DŽVÑ/r“£ÍÍo—á«ËÆüVü-ãr´Y¹Ë2\„0A€H±9²£Õm‘´nCUŽ6Ë9g¥ÊѪˆi9ZÝæ–>"ÌJ•£Í²9®X©r´ŠÍ‘Ÿ­"Á<åhóšm‘£Ímè"Gk2ÉéŠÂéQV¸u ‰‚´³(«õ7âŸ^N¤•õbu¸Žòº6»I¦#Œ»ß!œDy2ÿ°ªÀ4Çq…Õ*l¯ «¢î^ ѳ$©§PTÚ%³gSVŸ0®ªs¨Ô´€xÆ6Í&³âɺs#sçW¬>a\ÅÖ0#ŒKœ®׬>aÜ<u˜ Œ›W/Fæ ˆ'÷^l-ró3X—J¯‚ˆGAÀœÖ¥dnhn]jB—^·ú„q³2;\´ú„qóê×ÉüMñŒmuH<î ÆÍÒMo„q[CS—Ȭ„qU· ã®G-ÞGã.¦¡¶ôQŽ:÷ XNÆÍk¬!ó׌ ãÊU€QaÜ KcŸÆF¯²ˆÒñ(ö4™ Ñ*úÐAˆV‘ú¥¸"h(À 'E›ƒª­ê\=)ZErë‰M˜•­Ðÿkò® àýÎöʬeW¼&D*ôÄi…]CÕ@eÖ{0÷بJw¾dþˆ•ªM+Ùùj+³Òl攀±¹-Ò¸RßSËÔ"MýÜÄ ŽEà5”•'£ö&sàœÕ½ážõDœÌM¯£¬¶*ÿ4R·ô‚i“ÝÚí4lé+óDg¸ŠòªZšÊ¬[ðYÂ)”Õ6¦‚SVfÝB+&(³få»dî20A™5+ß%sÓÀe«O™UÑI \™UÖg‰ÆàÊú³DÆ=­ÐHUõx+¡Ö$1u‰”¦ÎÊÓÊ}juD&óGT‘µh¡¢¹@ f š †B]sx-7¬>Í…,ý‚g°»gõi.désÀûVŸæ‚j_¡¦¹@$X½ï1ÍõÙX^š ¢¶®¹É˜ ÍQm÷ÊJë¢÷J9šöÍ0› ¹×ô‹Ìψ'o|£™É¨ü´k¶ ³›v©h.LÂg&­Ä,ë’s®#1FÙj.ç"0AsA±u3Ñ\(¢Ñ 4²ê ¨f&`v å¥üÃÌß0¦¹s¨xŽãê „¯Yö š ĨÔï ⌲Ô\˜‚{>¶ú4² °)a‚æB^žMæŸ Ó\È‹Æ4œ™ã¸LüN]€©j.©ˆÂß/DhhÈÍ@sAøÜ’¤¹ Ø¬h.óì$Í…¬:쌇fyn¡›ùG™¿%`Ls!/¢ Þ8;Øž±²ì«‰P˜ X­¹Í9ç#¨ÇºüR?Å•ô½~¢8 ¼ƒò1´¥¨§ß–i[XÇTú¢TâήÚgØ”>'e÷ê‡ðÊ&·Rv¯„$T·nRfŸ Ï¯Ú-VoUš#¦¡¿çúÒ'È.Ám 7QÞÔfz›E·¢üpƒm™µ‚åaÓÞ¯°WŽ#ëߢ&£íÇàßDé>ðʲ÷o2Wn¢¬Ô|rþÓ–!>FYi¡7†’ù'âѤqž…Ç1›n˜<«m×ZÚ‘Z‡NäfX¼üÇ«;ÛÊ»YÈüEñzûÁªV<‡'?K2¦ïêdþˆ€xÔgUztè8ˤ€x4kå"cýçŽd©‰„œس “°âºžsãu—9¸Gmw1,auÝŠ>~]·%¬$ùÕ­.¢1# ™Ï&òóíyx̼¥9ß(a5¡ˑ䫲?\üWùªáS§!ç„Ô|w¬òU|†ó;”§ý:¦å«$hœþEýã¤B*”øåGÅZ1._%Y-–ì|ô(ª€0!Õ¿ªs¨Ô€ôÆjaÙ¦¢Õw^/¯9ŠßãˆGžF¢ÕQòëó#ÁêÁ©U\'Šcl’¥YòùõçQ5;‡_q%ï¹'™?+ µ ¸‘ '×ñ÷o$ûËhŒÒØèUÖ ø G½‰ºþ=+ÚçËp¢èC‘ܤٮÚR›¼#l./³»á·é7áw¨’ÝØߣ;k•uù³÷·'1“‡&ùÏUȗË[ Ñ,{Aþ]n‚?áç(®Erù'`Ž˜Óö£zhhÑXB pT® ‰žœÿïI[*6“:,úYßmWSW.^t½˜²=þK5§å×Ûim3ÂUWdx· ¯FM_u}©ZＶþ2/»&œÚý!§X¿Ÿ'l4KÐ0îêÔûñë®PVª¡D«£]wMØNÍ«eÈüŒ€±:Í–Ù\¯±ï¯å4Z‡9~»Þ´Û³nk—0ûC=ôéCλºÛ¨·Âƒ©²ßqÄ[±ÏP~f°G¹ûåçù·"™! ÅV<¦=Û²W¬–ÜŠå‘>ð^¬Ö=Ø”W´9? {°üŠnäà åCcknm× ~m ~².Ï÷±„BÊ?Mî‰;Â7 ºkw|¿nÿ¶Wçà‚ yÕn8ô ¶çØ E™Ë„Õ…"ùËDž§ªûâùׯ>W¼xÌ?Tâ›…s ƺ–a Vâü8¯®%œL [-Hv-%]:´A{FÀØÅcÅZ‘ß°/j C¹bµÐ¿xæMY˜pæ}tf|æø|àW;*UU ÇÚ M1ŽR'$ÓDå2ð*ÊWU(¥ÌÆS6˜ÉÜ4ðÊ×´÷:+áÏ2zfú¬‡QÐ@$nsÀÇ(?Öæx7º €>OzíÙ­]'àؽ$Qaòî%^LÔˆ ¹×±pèõ/â²|ˆ²Ò&ç_d® üåõ;ÇÔ!}P“<n¢¼©Íãc5·u»óqÙ¥‚x‡2!ÛvÛ¤|b£xš€ÙË(+M#ôoÎ ˆ'o“¨xŽf&7òÃx¶ ³Æ…SdjàY”ϪP³’ŽòÜ©ï`Â.Žv£Ñí£÷ìwŽJªË"~peýৌHvÓ¡36+m;;tè“:‚&-»Ár8‚,TÝåB Û×¹V™p_ýèüFè 5¶ï¹û®GKÀ0W ÆÃV§¹íx4 ºÛ¾ã½³ÕòyNô”ÑVƒTµïëµöÞB²«DMÔ´?Ô›& S¶wž_B­Å \ïLÎ:³£¬?r*]8|$ ž¼iˆ÷ ÇÙ;‹÷ß2ìÃ]j ~ïl`•u¿wîsÎ:t\m,Ó`â2 œCy.ûiðÔ*áu”¯k»ïeV —)ÝÁÒ TK/Äjøeýí®›Œ5ë¾Oƒ!.ô„¹¶löÞöZÁOUVVâá³ù8îDå.°‚r%{"s·€«(¯j·Ù)æ×N«-Ÿçˆx¬7QÖŸcÍ2îÓ1_’Ägà,„³(+-2äq~“†Ì^AùŠv­Hždþª€±¥yÑsïf7ˆ+¦h´˜“Ž|Jã9¦h$ÂÓÀ„Š­«˜¢Qˆñ¤ …¡|òA8cõ¥hÔîˆR.{’¹I`BŠÆ¬F©ÙÈCLHѨè*)…¥¤†B=E#ñYnX})³ô‹E`BŠÆ,ý‚O¿ï[})Uû µDâ0!E£úîJ^)…äçwWL¤häw$ µ{ÉM»øn6™MÈ¡×|GœrÍX:'™´hˆ×dÇ9횃mÂì¦]*)‰Q¨ÿúHŒQ¶)‰s˜¢Q±u3IÑxN˜¢1«Þ€jff—P^Ê? ɼ rOјyT<Çqõ ¶™•io ¢‘¬Þå*½Þ Î(ËĸLHјU€1aBŠÆ¼<›Ì?0–¢1/üêÇqØl/XY˜jŠÆÖ~¿¡¡!7ƒ 0E˜¢Q±Y3HÑ(^KHјU'@õ2“7QVۚ׊>2KÀXŠÆ¼hˆwúÆÙ Ó¬ ;ãQ„)p+'­n’tÅ. ~!ö¨/Ÿ$Ž˜LY½ŸS–êݤA›D'†\ @îð6ÊJóG¹"2wXB¹dÐlÊÿ¶E¸Œò²v oõ 3›Býß>@YiëWoE¾âC”õ?Î*]ÑýX@0!ýyVþMæ*ÀM«/ýyVþMæJÀ„ôçy¡dþ‰€±ôçŠ4 ¤?_s ‡þ³žaÑØ3³üЦÚÎV³ù‹*g¥I´:8ýù)ÔvÅ29­’®2D@<Š=Õ”.U+:µÆÑLÞc죆 ;]PŠNÆ×jõèþ«ºN³åK§Ô]C» ÙܧSë°½ne95V\D©°héž°“:O+¤ÀnxåÙw€dn¸€ò‚~ô«8΢€x ;ÎñèΣ·;ÀU”W•ýæHŒÓIølÈ› à&ÊúÓÐÖõß2¿!ÌCùEJw‡­Kò܈Ú!Ä”•LÞ¯oÂ,ÿ4©æPZ~½!иÙ{ ûõ±ð–±µ»ÀU”͹õ)ÞÞ‘uì áyÒCÍ–{È„;ÍøÚ¾B—Ÿ·ííÆíj7ß'“Ý'¼'|ˆ²ÒG9g§*º³ÂÇš¼§pdþ‘€fî ËÏBî£æï[YÎBNG~Þ-W Xž·ºš¥†Bï&=ôßäÓ½”7¡_KçQ!¦3@s›³«U׫…™Ü0IB™…™Ow=èGÑÕ$Ú9t›_’¿Š.\~dårBŽªkÂê^-× 92ÿT@3'ääSè3 ÌZ ´ â1µ0ˆ; ìxö¦«(›Ì–âºᮄ×PÖÏ&="ósâ1=RéSˆÒM ÿB§´èNìÅÏ…”Èk¢~[6æ‰Õ]àc”õ7'Ûºç°ÃÞv?Hrú8ªú'QV:¡ ïÊ×a¶ˆr1ÿ^øcüG<†ÞþøëðûA‚ÝUÔô#à˜6øENÞE<ꑬGg>ÈqRÕÑxʘr¢iÙ7æ1áˆþ‘¥8ª'Z&ƒ¸ ‹üâᘼê <‰£¶W–A¤†9Mö—Ñ¥±Ñ«¬Oá7c>$¹\ßM•—¯zfEGù9ÆÄZ}h~1ág(¦-}fŠ²>ƒ¹—:a¡/áöõB ~‹Dš5Â)cËÁÜv¬>G‹|niîX œlbR`8‹ò¬1ÏM=OOæ À+(+¥º•›t‘¹ àU”õSÛž?Ô–™Ý’N‡J„®+(WÆà¯_ÀG¿ÈÔ_ψ³Ã"ð Ê&='Åa¿€“~Ï)¨zŽœÃ~'ýÂ2ù=ýú!‡‚²¾KÜæ€æ·&£„’Ñ€,ý•ëKø.á$ÊJ³èÔiªc³Œ”‘‡¬ýÄëxLæ¨>kÑø 5ÀQ¹6$VPü?…=KÅfÒB~Ö'’nN¬;M&ýèÁÜ1Êö-~&±ŽÿövÐw…ªëâ¬`Ûöz?:ý¨ÞÚ¨õ~XŒ~è~¿'Ç~\u[m·#üç¢{®ïú§£_Þ)úñ”øã~«5·}ØjôÏ;žçz‡þù©C?ß‹ÿ…Ïy»ï6âo¿ç|ˆÿ{u¿íîzv3^-{‡«/ªÔ?ÖÛmGàq&üéáßœêþ,Œs [˜±¿¿o·÷âæÃc^½N÷~ûW‹ø“ÆÁ®ÛŠWÄÛŽÝj×}ïáÙ~Â{xÁj»ï7ëÛÛ⿽„×Ù3ð]ºÿû~ÓuÅ·‹,Öûj¡í|h÷ý,{4±××»˜·‡Aµ}è÷øD¿›ä?¬‰n×ýé!‡)F?í‹ŒðÇ}‘Qg5‚wˆ?™œ ÿ`§Ó w<â?¯£}è:þüíÛøo&4yøóxCDÕáï»ß÷U›ßiÆß#øQÓöúÞ?ßã¼ø‡#."ÒiÕßvœ8íCýŸõÿýÿrŠó­–ggplot2/data/0000755000175100001440000000000012114164417012560 5ustar hornikusersggplot2/data/diamonds.rda0000644000175100001440000175316012114160774015065 0ustar hornikusers‹ìý;°m×±¦‰g몫£BºvÉm¹’]q¡¶Ë¶Ú(GŠ!©+äµìk—-¹’]VeSVWoÈû>Ï!@yEãË=Ö7ò_c®½÷9$ˆþæø«ïüîÓï¾ú«¿ùOßøé_ÿ›ÿTòéïûÿ¿õ_~Ô¿ûßÕyßù?üá¿úÌï´ó¿ü¿~ÿßÿû¯þöúýÿŸuüNÒ^]g´‡ä{ú—λ®ä:Œûõóû ýoÉïHÆÉ|òùôÞþ«ßé?×å8æ±æóà¼}÷ÿü‡ÿâïßëþÚï¯ú®ÖEóëõß]×óp©|ó—ùï곯oI¿<Æû‡áüô¯ëóÇqïþ~úþ›O®¾òÃñûOþ° ÿî¯ÞzúîXäO~?[_ÿõÙÇñ™ãÞóúƒ1Ïþýƒÿòûÿ¾UŸ¹¾ûAÿ鯿ç|ËògCOßóÃgä»c¾ëzº.¿ÿpè¡{w¬ÛYÐŽ×ÅŸ:¾Æ«ã¹>Ò¿Gù5ÿ‹«ëŽóÞûòý·Ëzü`Ø+²Æ?ô€þþb|ÿΰ ¾œWë>®ïùz{\Yý”LóåFOv²®»9î笋ìî­¡G5ÿÒ_ë¡6ôãhŸ~½5>—¨_eÏžGÖgØ+ÇUÇqïi=Þ²Þk­ãYÆ%}F>¸¾p½·‡~ò=vúCµËùô—vß—>#:ü€íc§Wžæ-WvÆqØá2ÙÆ:Ó®ÚIãøÁNÿ·µ®uìUú.°~åÆ|3¯ïvÑWp?@{|®ó$Ë¿ŒyÏ™Gû³ÂGðiƒÏГq<ëÿ–ìÌv“p¹Ö;\ÏöPx1>ãŸ|^ùAá’ùN¿/þW~=XüÄ8ŽöÑ'ã¿ûû³ßëãÿßÒoæ™óñ+;½ýH~eYé'í£G\÷çùƒùëNå©–œ¯†;.y}Ìg’´Çyßãø»a/\ç±®æ¯Ë<Œyÿ¹ôœ@OñÅ«ŒãcÞÁ뿃ë€Þ~Èç1ôûÆõÀx±ì ûNøo™øŸeáÚ†wÎŒþÙ>vç%<ú©Ç+Px¶ã‡’eg‰ßÁwãÊÎo·K%þÂí£Ëu…ÏƽÂ×qÜûÂ->ñÏ£ý_šôõCÍ‹yYÔ—¡·u<|~Ø+ß;žó<ü\<ÉñÕ_ñóNóHû9ðÞóLû\ïmñÀÒ¿±®?•Ÿà<$øU¼yH®São/öPþFý_ÖGñ#Ç3vÒ¼Ä×ÝñÙ]<êxÑú’xÁÏFž§p×ײÝ!‰OÀÃÕNÌ+¤y“þÅ8Z¼;ñ>Ç7ÉNé׋¡¶Úu{i}jþ%ß·½+N!Þ. Á?s|ŒqühØ3þD;ð¼Š_å'"ïý±¾9¾ ω‹Ôn’œ÷£Á£jÞᣟÄ÷ð ôÏïh>ÀMŽsÞ¶ãu–)oy] ï¼mY<_úÈ|W<âøD8ãØ€KàŒãlŸ·ãK~PúoþH{•ÿßãgŠŒyGÖyðÒ¡×?’~ÚÙ|î|4ìÑ8b»«ø{àÆÖoxþG{‰_¥|^ùñ*üýÛaý?t?Œëc¾ðö#ÉÏÔyê7ëôžpó¹ð›ãì?êºcœä¥œ/w\_¸ä|âÅ[„ãÖ[ðÊú²“K>€¼!q—òx…Cš_í¤ó"—öir¿*®R>Îú™ü¡ýÓ’ÏS^Ý<²ìnÌ'’u²½€oKˆƒ_¼­ë û7þ"ñÕåUÍÿÝÞRÇñ¼jouAV=JþdÁEÉ^‘p©òÀ/?Ò÷æ÷æ»\7âŠüYñ± çi܇i}}œù#þ‰ëÆz˸.|ªêƒÄ…²—£2áJ­›æ'Õ S~w©c¦üyè¸qEúÁ:à÷ð3ÿ“¿¾¯Z.öa7Žöß×w=ÉÛâ¯ZÚ¦uIù8pñâ5ŽóK/?&¿‘®”'Á~ªøÁy%ããOòíÉ/,uá^ñ.Ùcš—%n7îÛo†yø¡üŽ'.«| ëe9úgû']ò´'~bç3y£Ò§ñ¹â`áVá{ð— çc¾b“OJúŸâœ4 Ÿ+o(ü]æOúý ëó+|çûŠëá•C‚«‹>+ÞßÙyŠóŸKr\÷£àŠWk>jœøµ_z¤:zñçÀÓ\¥nWñuÅ¡)þªùÑùô£øfÀÝTOdþÌ9oÇÿ‹—+oeû§>•êÜæ7‹¾lôÿb{ õHÇ‹i=¬—¶‡¤/žó'ÂxÌ‹j~‡[¯Ë/§¼³íEq÷O™ï:¶OYỎã}|âõ)óEÂÁ^ nlüßîºÌƒëK=BçÁ_YÇÈ¿¨W‡ßwû½oyÝó¯}mŒÃuîïñ»æ|ûÅÔì/¯pYu¡ª j¾UO"Oƒ-ñžpß+ÿ?í”ÝÉY_ü€õ,éó\Þwc¿Pù‡P·s<¹Äÿã:¶ë£ûé}fÎßÛnvvž,óìÆü¡âyâìP¸Eœ÷¸½_®x×u|¡þ¡Ÿ?z ÏÝÇuà‰OÁw–x\~¼ÖAù!ãvÍ“>ÓãWå;Çü˜Ç{ÞíwéqQÂã?¯| z!û(½Ó¾”G™ßÿ,u®?ì¢êfØáÀ-ﯩëÉ_.u/ó$Å…×ñ·ðFñwdßö·ÉNKÎï•žŒy ³ôõ“t{á÷cŠ÷$Þ‡eg î+ïí:0Ç-û®Èb§A¯ë:ÄUÆM­÷séã[c<þÞqÌ’à8ñø‘a§iüØ 8a;Nü‹ëûsÊòù‡šçj_!öŒž„ñ9ÿç8ÆyZÛ£ñã-µo >ìêÞæÁ5Z÷ßyL×áÍ·¾7οt_å‹\âæw³_c‰¯Nx}Rž)ík\ìj´ó ñ”¿ˆû)†Ý¾¯v.&{´ýýHùÑwà#â‘Èâ³c>°ÃIßm— ·ü¹æYyãõÛ÷rÄhܱ]Uü?~GoŠ/êwæ£âÑŸªKHœªõ ùdóì…W_/GŽ™Wøwó¾·¿H÷{%>±øc]×ùz$ëâx!ÕCK/ÅÐ÷%?¨¸”q%{JëaûIú›pÉvîxæ× å72ñBçÏ–:;ó?®o¯ý8cüÖÓʃh½ž)n²Q§ð~Ô£ù¡$_ô>ŠSØŸ!<_æ½¢aïi£ëe‡÷‘ùb ã9Ç5Þ_øóàGþ>Ùóˆž&|*?­»»ßr‡·e—âG²'ç9¿òëâ»øpþ{òC¶[óküÖG£¿ö¿ö7•ß£ŸøWôNãNðw©ÿ)ÏQx0ú“ìÁzWyjÅùæ|.½x‘ðÃøF}ÝÇ1wÅë^Uôéçwˆ³¤¶“Y?6ù;ìöSé[ñ¹qÝtþî¾,ðê‡Ò ãØÑçÝ<§_Úÿ\ó~†|íÚ~ÜuçÑ\ÏgœÞ§Uóo|ÞPod^ê÷Ðï”÷r>'åŸßµ?d<â®Û>÷ðß÷ã~ò»õ„üíy_û6½>]ÏõãÊÂóB^²ò2¬£ö$žTûçÈßÐ>×cÞâߟ ­×õß©žæç{$½´ßñ}&>¾Öù›§Ï©þÀÿÉ+8/¤|bWÚg²Ü‡@Ýeð$?w"ñóSúWû÷À»qòùÏsÙo’èmñ+ü´ò[UO”>ðû/†>îüBŠoü<Š_\òsˆ˜W׿‰Sj]Â>Ô”7 }®GœþC·êè»yg½Ìãð ~ŽŽqÑöAýÙ8äû½Ì›ü{¬K‡üª×ý¬:|¨Æý§êßr=×_à½Ä%ÁÿÖïcÑësñÝ·•öïð¬Kå›Ãþ¿­çöðûÓ±Þæw¯ùEÖ>Í!ÍÊ7Ƽ¾þM=_HýNx™Öu±sÅ3é~(ïÃ@ÿ]o²ôó¤Ò:º~µŒ‹|½ùŒùIÈ{Z?wúo;­óɯª¾oÜ[Ƨ~/q¥ü‘ù9×õþœâ!b~mÞâytž¾Rvþ™pÙqüûÂÍ,^1æù\Ÿwø°Ô×È?wTÝÅyû´/Ë|‹þ¼-ÞmD;ðâ½eó§ÿiYýžû8ûóZ/x xKúl}|¡yt ãç—¥ý°Þß’Ö¹¤ò2Ûß•·|ó¼.æmð˜ò˺¯Œ|eå]Æùæ+¾Õvæ¼hÚ§ÈïæÑiŸRµ«¸ÍÒëÀ¸+e|þlý!^ ¸b\µž&žê¸ã¹æ•Ï^ÏÊ ŠG/–uç½3üóöþñÇw¥ÆÑÝó[\©qn⬣ÒýH÷{¹?ÎO$Yynñ?7Ï~Ëã^pR<äG¬gŠßÇ:šo™§}ô·Žÿ»T¾6ÖéRùæ˜'ÿÝ1óH$çñ¹ìmÌzl>—žšž÷e\e]ÐóÄgw|ÏqÔI±ÏÊG*žóók¹¾ýJ³گG^Vñ×7þ;®§®c¼/¹Ä|²ž/1ÆýþK¼h·Ÿ3ÏIûPR^ayn‹òmå·‡]ñ¼µ,™ò8!_R¼`Ì û–jšÖßççw›ÏàÏÉëÔ¾Qñóòãwß[ôÐy‰À~#þà|¨q3áç“Ǽc‡Îsy«çËíøù–î_ºoÆùaãÅ3Í{Õ·¼o+ØùcÖ—¼¨òc–Œ£xŽpmɯ`º~ñDùYxK²ÚW7>¿ ßEÁþ&çug`·Ö£ÄÇ–ú"üIqkêw­ÓÁ8IþÐ|©ø„â>?'™uõx“ä¸ÒçqÝz¾™öm”?ãdOZ÷²{ü¨âljËsðs²ã‡qT÷1’?ÀÞƸñwËóñå·giЋ”§4¯¶?¶þyœo¡è‹â$øï×ß­÷®Žgü}'ñ¾ÀŸŽþ"ÍëRž1µó7£_Ëu_²„W&^ÊgçU·[ZÿvÏùCŸý\•Š6<,ÕÇ.•ÉÿÙ¦ë<7Îaÿòw5Ùs_å©àÏÊQÿp^Ó¼0ݱ»¨ü6x1ð±âžÆÕuÿÊh/õÃzcüc>+N yèâ]Š¯+?¥øéÂ=úë}ø‰ŸWÜ">h¾˜ü‘%ãsþzÁkÅY)?šöwÔ~0ú­x¦êÚóÉyè!ŸÙ¿É¸Í§*ŽS}-åkküß<Ý¿Í>³¥î.¾âï]ç®<7¼M< øÔ¸~ÊßÖûÈBþÞ|nÇ¿obÜþ=ñ óÂõ§æ_<Ó×/¾I;Â×ôfóÓÄó>Yì[|íRé}Үݷ‘ôÓóí÷38ëçêx>ü<:ô?åY7ô¤žÇ¬ýµŸr㇓,œVÞø-õ§žg]\*̓ßUû¥Ç;o½Oñ—ü“ŸïË÷ŽË^¨³hý—ý>CwüËÒÇ=Ÿü.<iþ¯¬<ð†·îä·†^ÒƽìOBOÑká]éíXìÂ÷kÔñ½ªçd±¾ºžë‹ö‹}™ç/Áî•+¤û«*.$ßLïI|#íCLúÿ¶øOµâꢎCçkÿó®>`û()»c}Ù—ÌgçãÓ>ùå¹0Cb¯Ës¡‰{}*<òøS¼F^Éë¿ø?­¿ýi٫⦔¢ßï²Ûïôé÷GãWñ^óî„/µßŽºþ7øQü÷Ó^ácð+Ì»ï³ühØUǾ!Ö“þ«Þ”î“"/jž—dâ‹Ë¾Ðoöû5ïZ¦},åÏñïÃ^\N²ÎÞ:OUv&Þ_ë$üKûNi·ü÷×).ÝåE+îV>/Å·Îx¿K=O=“þ‚³¾¿{y.$ó©þÕ¾ïÁG¼gÇ;jÿÓ˜¿çöc£½'TŸ~®y-ž4üzSù0ñƒÊ_³Žâ W+þÐ~wÚq{¾ŸÑó‘ø—Ÿ_¾äÙ‰Kä§}&ë[ù1éC=ÿVõÑm^Z²ÎóüOæ{Åi~ÏvÍ?ýÖ:?“žz>ùýçZgÏï;âðì¾Pϯç=ϱ]þB8ñLóëú xTýÓ>TÿŽ4MûüüâŸwü”òœ^ïZgå«R~ïçZïÒG]¯ÚMüj#Í3.{µ¾˜Ç·Ø]ÂÚóz.Ïïí×>ðL÷Ñ&]êZa]­_5ïðhųË 'Å‹B~È÷gû~¸%Ï£zÀ.n÷k=†㧠ϥÇïËÞ7ªuxàãì× O¤WàG}¦ŸÃßð9Ù÷]ó»»â“æ?öÃðó<Ö}¹_.ð<æ¹Ö‰ëŽãÑ·Äû\Ï]ìzœŸökŸ½¯Þ<$Þ%á~”ßÜØý3ÿÒkû±¥?šOó‡ÂIñuìñ×O\Wæx¿Ü÷!WCÞØömÿ³ÌçŸKÿ·?ôú¥ý–Ï„§µo|¹Ô¿:¾P\›öë=WþË÷7ëm^°\÷–$úåç0$ûpÜS¸î¬õŠßV\<Ú¥Zgø¹ü”ë‹È­—^b¿àq‚ò6ÌãÚ‡¡þ8ŽÇÏ=׺'<(|“¾º“îË·=<ãßIúC–|³Ûÿ©ü‘óß|&®x!½Oû›œŸ(^¤ûº\ÏñýÙÉߘïz\—Î;/; ×á8Þ¶ð›q^­Ç8Žq?Jq©â‘ÒÏ'ýä³Ößu+ì!Ýïï}ÄÎScoõ€÷?ÔyGù·çŸyñs"øÝ~ë¹ÿzmŒËòÍ1ïä7‘o¨ŽNýúRùýÇTžó†uo¤q³ìDö‰>Ž ?ãýÆ£ÝÄ›°ƒ”ï¼t_Få¥Ržpô‡ë¡®Ï×~Š¡§à¸ý=ûªýœGï7{.þâzOòÏÖcä§jÇ÷¡ž…<ð áBšÏêÇXøYŠ{w÷ ¥}e×ÅÛeýµoi©¢çÊ×íÚ5~‘ö>­£Ï‹½©t~Îzã÷ƒ÷ôÉ/™oˆÅߧþÖÏ[`ØÍâ¿.[Ïœwõõ½ÿ‚ïý<,ã‡y–ãÌ­Ϲ¿œ÷"Œ‹ßS; nŠ‡röéü ó Ž-×ßØ¥Ï#õºý@û½™wó?ŸWùc­Ç¥þ?kwÜn>øžyeBíS o5ð•ñ`wΣ8ïXþT~Æñ÷Gòc~~¯ëX»qrÝ(~+œŸáùÎóø9µnÚŸRø£8+ñµO'Ø>iǼÙñ÷N¯}ßТgc?Ôçô<š÷}oŒ3É[ÏÂ÷ô=äãÉWù¹-®¿Ä糆ëÖñ_­“?K.íÉú8Ú#^"þñx>’þ¤û¸ØùCëÏ»_Úç ÷{ý¼Ç;-ûÂîÓ<دÉ.>þ ž³xVá£ê§ðì»ôjÏ:U\l¾ zjá«êÞ‡ˆÿGVýD繃L÷ÃÙo0ﬗíÙü.ñØ¥ýƒy.ßÇŸOv–Þ¹Ô%B<ê0…úõôó_=ŸÁßÊsZ§]?h¯ò™w½t÷^\?_w©GbÜëüóÖ)=Ãù„Š×5GyØQ~w©¼”ÞTîì£ö·ßúâ xCñ ¾ç|ÖO²übZ_üzʾêKÄAcÓó¾ÿÎý¨üÔ7Oëg®32þÄŸñ‹‹ý2ߣ¶“…ÇŒqø9.^¯_7’_sÝÐû—ùWÜiÞ…ß*~ªøÀïÕt=3áˆeâeÅÛŽ)뺒߫f<çÓ<gËïíòB_?½_zgwïXŸ6v½ÔBb~TýS\™â™å¹Gè‹üï¥2â¾ãÉŸ½ÿPö±Ã·%ÏK]šüu÷õ\ŒGð5äâ'µøaìè]Ù—ûYûMǺÀÓÁdG[0úŽ›ß»Þäú¥÷s6ª?Ês‘õû?žKk¤'Î;/ù%éûÑûW=Ò> û¹„O»ë`7Ì·×ÝÏ1Àî^Ìç.ãÑ礟ÖÓÚ—¯úò¸*¼cž\W`>]ÏHþ¨övá‘>ïÇæ5¥Ÿ›‘ò6¬Ï¥|Œ<æÓÑÎQùÚÀ—£ß_WîÚ+»V=¬ôF~¢ê·àvÈ÷–žh?Ø^gõœLu•¥_ø{âê7æ[×½Ÿ!ÙQékÈ»›ÿÖ{3ƸüxFÊkyLñ æ_ýW¼o*ñÈ’¶×ñ½ïŸ£Ì7ŸÍ'ëæ)Ÿ\ø1ÎOïsd^?a¼¬û8ïG£=ïst£ø‘øÓrŸ»ìɼxÃaüv|”ÖçšÒy2žû±«_±ÿ×ûÌ*Ïøi¨W,ù½°þ†<ÜŽo.q•xƒqn»NÁ.áæUŽsKÿð½÷)§¸ƒãɯ8ïêç©r½ÒÿÀ·ô?Iüå ö©´~]ö#þVû”GuüZõ í?zW¸ùÄA;½-é|C’îù7ñÉë©ùä<ï“ô}ûè÷âÿí·‡Þú¾kûyëýuý0²üð¢òƒðâ^­÷‡òÓžoïSwÌS.•O%á‹ðGß·íãø̾Iÿe“Œ=õþ¢ÄS¼¯½xUÊg„üò7N÷i˜-ù•°?Êù§Â ó߀#Æsç-Rÿ­§Þ_éë,úGþ£zŸësÅK©£“gu¼ü¯ýöTñ58AžeÌÃGòSŸ¨Ÿæ®s®)y).׺ÀkÆ÷ÞT¸ü8û5vÏYâa¯Ÿç{|¿«•ÞOìúzV÷Ë‚£Î—8ÿþ Õ Ä‡Žö/Å5Ö_ó™7ÄùÄÂÛƒ_¨ýù¸O·òÝ¡ŸGë/‡ó¤Ä)Ú–òT~^bÚ·Ìkˆã“¬çòŒÏØõò¼Åƒ¼2Û÷ËT^Qù¸e?ÅÅW\ßë’ò‰;ž‚ý_‘}Ù®’ÞÕ{1%«~¤vë¼À/ùž¼ò§7þx¬'þæmâlámáAØ7ß‚/:Î.Þ®‘çÝ÷íç+—vö÷ÍW:n©ÿûf^—çº;]ðNÇñ™v^5Ÿƒ§>ýxUò ñýÊܨuØ𼥎°;.äÜŸÚwã<³Ö}}›º“úmšò)Ž^Æ¿É“ ×;J^²òÄô_ׯ¼¤ýyå ̃À©ªŸlö/W|(?žOÇ|>¬íòci} ç˜wùaöw:êu/œ•Þò}=×Ü |¢¤öò½ýSŒ7R½ÑõBùÛ_†öê8ôCv½Ôñ}|ˆ›ŽJ®WïOq¿ëZ•—"NÇŸØðƒ£óxT²~Ë})ìkc¾äo_ÙŸUÿÆç_Z~ÿÚŸÖ%ÝWðÜývžHvðQÀ%s©s†þ&™ž3žæQyÌÍ~Æ$?V\Pó­¸ì‡Ò_ô‚<î{ÁþÞ ë—æÉú]ïmÀHr|í{ëWûú¯×W?„‡u¿MØ·ócÙ»ó›©^T¼š|ÏhÇûÚ>rÜ"},¿@ͺmæÁ÷¹ù~7$í~gø›JøâwÇxŸŽy0„×¹Žþ­13ÖŸº5íó¹¾õxúñú§ó­\§Î í'É8’¬ëi~ž;äºßv†¬yÇÓÎMeÙ¥xXÌ7¸^…¾™â ª/\M’xÞ×õ{¸ý<1çýýœCòžÎú3ã*ž5¾wüö9.~C~†| û _9>IáiñØ]œsMó`»ó˜wå9?ùë-¿ úâç·qçmÀ[?O(JÕ!¼®®Ôzp½q¼ßà<á¢çæ·!Î9º>;¨ùp^f¬Où›±Žu_ÐðGåŸtó—öGXú¹w¾_þZÖøUWrûŽCüý¥ÏµßáXÒ×:Ÿq½H÷û3£Gâsæ—Îãù=®ûøù×ÌÇÑç™—Þ g‘Ÿ(Lÿwûgí§–|€ê@^—zž¸8¾¯Ïa½Ë¼Ï$䉌c×5Ô¿£yÊ­L턼¿óæφ}ù1ߦów| ïT½iY‡ñ»ß›P¼Büûãà§uÿÞ&ÿ•î‡^¤ò%Œÿ¶xÚ‹4/aÓ}v‹‰¤}ÁGëiÎóUü¨õµ½ªv—ýMÄIŠŸœGt]Jïóã¼wð³ãsùálªç,ýãZì“ëâ/ÙW'¾î}<ŽÍçœ2¯|‚êÕÕÑ?xvïºñ’_f_ÁèÕ§C\Ì|¼ Ÿñ¾á7Ÿ©¯%¿ù_z‚4_Ií¤¸ é|Ë'Èn}½Ÿ’wXâ›À¿®wˆ'_¦Î’®/¾îøÅ÷C:ß¹ø!¿<_pÌŸ÷q;î±>ØÇ}­%¸ã÷Ú,÷]òYþ³ì”~™ïHO¢¼”§ùBÒë±È÷OùæýrþÓýἊ‡„Ø+×£^Pû…ä×*ßh~½ã²ßô\‚Ý{ø£ó¶àÃÁzá2~õ¿ö\þ¶î»/µ.Žj^Ugz[õ¡‹õrØA­sðŽ¼Ï>$Aº¾v×üîÎø¤ò ~N0ëX÷É>;ßû¹VK#¿G`Ù'ùÓøÑÏEXü4úI}úâÐ×£ï™.~GF~½ž³x"¼§æž®¿{gćÑ~õOöÄxùÝÇ=—ÿ¶ôº.û|Žâh:þ`²Æ;üxnU¿ì'ñgì›ðgúÖ牤üámç/•ï ßwA+^Ò~’Äë{ìYù÷ªÛã/6ûz8Þù¨ÄË}JñÅGÖ ßŸâßos= áí­dÈÿ¼ÐüÙo–_•Å‘¯ž0ž%þÚÜ„_§ïëóó§jœøwúe0ÕñÅ ]g@¯Ù?¨¸+Êq^Å3Ææ•ö5Oè%ý¨:B°×_R_1.¦õÔü.²žâEõ\ŸÑ¯å~"ñ†e]~¼8®ÿh|®õ _g™—úwú[vžîç±ÏáeÅ· ·R¼ˆ,?L܉ߔ~[Ƀû=´Ëy¶çMþÔxî_@Vþh÷æø¼HxØøüt\ÇÞæïÙ—y]ùƘ§´oóXÒŸ$·ã‰Ú•ê¼É?{ßÔF.<‹¸@8êú‰ó%µŸb|.ôïcÚ8óâ=ÿsÞØù6·S™î“©yÖñاùỸ9OòΦ÷Jø½¸¨¿èŸóÜèßò^Lõ£êÐö³Ê‹2å?B žÇ8ÚõûŸì/OñDZoyÉc»Þ©ÏoYÿÆ|8_i}^üŠù†ò‰ËþeÙ—óF þ§ïƒ¬÷Ýu©ûToóz#?|n'}zn?ø ãyç7á•ä¡ÁéÚ_fÞ1ÆË:ø9fÉ?Þ–ô­Ñò‘‰W"9Ž|f¼¿\Nò{á"ÇmòÁ…kZOæýÖóâs´«uóó<ü^ˆç7—û=“øMß'WüÖý úŸ_ò »|}ñ#DZšç_Èó:Ï™xâK“ŒoŒß~‘8!ÕklÏÖgë/zÁ> ïãªÏæŠOÈGp¿«?lü·_Ó8=~NUÍÓøü¡ôÒ<6Õa’,½V?—çµk¿ÌŸÞÖÄÛvùèôûϴ΋¿ þe§_ð‰ô¼Õݼ/~ÿ¥ü¸ã\ßGîù4ß÷~¦·‡^/yƒÀÃvï×[òãÂ)×–ý&Êwz ¼ù…Æi´Ô¥×õœó–ñý§èe¸™öƒ'{K<©øß+O¥ôsyN·ê Ë>Û—$—¸Ný„Wï¤íÊúQÏyŸ8ž:ÒÂ7|›üê»ÖÏ„§ãsºß¿ÎW>¢ppœç÷nð;vûñ7O÷#—~~×ó„†t?—úòøÝû‘Ò¾àÚÿ/¾]w?“×Ï븳‡g×ó»ùËøÞ|ëûc|Ô›Jó:ø%íÿƒ·Žß_ã7%Oùú˜ç›Ê¿uÜ9æ§êb¾/0ñvÅÑ…[ÎŽyôþ^®÷¾ùíÍq08);XpXqfùCêËÒ7çóë­ô?á8VuRô3ô³úKûŠçœúâçpÝt×á÷dÑ¿Ò×%—ç ‡rœë6ö+Š[]ûç¤OI.<Ð븉_ÍC—}T÷ .RxöBߧuq>ÚþgÉéçóxÜð($zR÷A¤¼€ò»ö›/ä_êzš_ð‰ûàë¾;üõkù¡å=ÊËûþéºï¾‹°íãàüâ+7äWG÷!Õs"Ç<,<Šã5nâ/ÇË{Ðkç”·³´ÝO1/²>„ü±q¨ú«¼áw˜¯¸žF?dàT=yÇþÎeŸ¾øçW6ÚÅ-ù3áa½o#ì__â_®+ü\¤êÛ)þ­ûk({>ˆ»¥Ê•ÿW$ãsÄ*-{õýèöƒ©>²œO\­ýé>›/‹„¯ÞV{¶?¿×Úëób³nÆ%·ó3¯ ß¼yÙqïNâ·çx÷wUžPq±åÂgd¿ïK?·Á®ä78Ž} »ç븴à¤xIŒów~Üqì&o˜âÞå>0Æ‘¤ð>=Ò<Úöàç<‚OI?>P?üÈZOâ.Õ÷+O±á9;?°ËÇÖý£àË…öýžãáÔò¾É%N ²ø¬â‘-< ¿­óYgç»Sü³àߦߖÅ#Sœ!Y×ç¿?ôéºJùsç=Å›jOدQûšÆz¾½Ûti} IÖU|°xøøÞϨ|]È_¤üWù7í[Xö1nxyÝ?kC¾€¸ÊúêuÚäS>x—g¼®ô|±è1uëå¹3øëŸð–ß?ç!½ ’zWåEÀKüÖÀUãÒmñ5ò‹7mçõ1_ä3ùütÌyKò |®zøF¦õuýªâ)òŒãsñãñ&U¼køÛáÇâ¶×Ôÿ%•„×/¥xéý^è“ãIûk¿Ÿ&ò=å{vqcÕ‰É?†ú~á¤ÎûéÐwüÙÂso™‡" —‰Å3#OqýÔ¾CãrÚïWóè8¾zÇñK’^w?/Äy}ó5ü¸·äI…ëŸuJûÍ"Ÿ²òßPݽÛÔ“¬ýPö?àOXÇ…ŸÁ‹T\ôBüðC__qÎÂã{âEîWáëªùÇ~–ë€;ž—G¹®[û2ቪ»^;¿ëøÿ+~äºxÍ/íK.ãAÇ÷Gó^;»Úî'!Þ"”ŸYp—ñRÿÂÿ窓/û´¤Ö)ðæÛÇùóOÈkÿcåχÞ},¾V/ï±ížk?xý=ÿOxûBóVýÞÔï—}MÒ—Škÿ·çU^xèozž•ß3µ“~N[åCÿútÔ¢‡Ô#Õü¿é¸½ø—æÅãÏQŸC>¼%Ò~~y¾zÂõ‰ç°ìWûoð—¾OÐñeñª1þE?dÞ¯ƒ\ê8Ê»¸þîãýÜËâƒçûùRU7µ>hßK=—ü-vOžy—|IrÉC¸žì<•ÖÛ÷•ÀCwy€âÏè—ã$ÛýƒçuÞæ]wöúоò›Žÿüaïß'k/Œ—ºqøÞ<{¹ ýµŸNñ¸ÆË|øþN¿ÄûÒ¼ïöE[Æç$«KÞ œ5oñºYÿ¹Ÿ@þÔ¸²äÏ•w*¾¡:%ëƒwÕ~QîíÕ>Ð!‹‡^—ÇÞ‘dþ^ýc~°+æ±ü•ôÈñ×›žs¶Ô-ä—ü=uCåu­å·\?I|#ù ìnô+ÉÔ®/ýÓù5Oà®ìçCñóå9¾ä¡Yç€+æ£ÇÿÉ#ˆÿù} ¼Ûøœòïú|æSþ%Æ;áüåxõÏxþÃৗ0?~®Ò¿/wüä#Ù_ô¶Ëkê÷®ýâ…)nIú§õ5O­z™òêŽüÙÄÆï7+þè<éf_IÕiT¸T}ËRW…ÿO‡ûØ^}£>SõaIæýêpa?‚ù¥q¸$|d³¿ÁñZÜ4$y®Ÿs‡ß€7¦:Ÿê)_x×Qû–L~x‰Ó†„÷ºÿÈŠ#7¿û¸Ä‹¿¡Ê{Ôúy¿9ëèyrýd÷~ò£ÆE¯›íV2á6í’·öü¸ßK]vóëÑÿ»æw»¼©ó‹7•‹¾npy‘öÃäÓˆÀÇEöS7ŒÓ+ÏŽÞót?1~mÉßoü„ó4 ?À?ë¼'ÿgžÁç¥.âz~BøZxˆ¿Nëc.É:Ñy¤¥.iüvçú˜Ÿ×õ)ðÇïS'¶Ðýê^oxráÁÁø%ájñÍŸû[ë“ø…óúÞõSçÍÒ¾z׶ù)=—y5«< ×e=×U^;€×Œó>ßI’y[ò`òG~/Mº¹ÖÓíY2ÿÒ·å>{Hö7™_§}¸Î»-ï{EOÈ—s|¸NÙ¡¾÷󄪤ýoé=ò¿~ß–ä¾±%?ÇüŽÏ·~ð¸ò~ÿV­«Úçó»|/=*ÔzÚ]ò[¥Ïøá£|Tzìçdoÿæé~§º.Ôíüîýõ=ü|Èèíku¼pp^ŒkõN­wåÉ«¸>4Î[î›s¦|¦yðÏ䇽ÿg9oŒÃ| >÷t´kiÞGÞ÷ÚXOKÿîv¨[#©g¿>ô‚óøž<)¿•)NösÞvÏ*}.:®¢.€¾;Hõ²úê#K|«8¸¸§üŒêd®‡íâð¦ü¡ýºpÎ<¡âQ®3d½rèù…ôžƳìë!îÕú.ünÈORÝÒRëë}3…‡â÷~ß«ț¨®µÄ»ðþOþ=¾7Yý±¿"Ÿóã1n¤ãsæÛùhô…ç«,Ïõô|èú~ž™e\/Η~Ö}ά#<˜ß©lö ¦|Šù¿ykÂq¿ÇØã0ÿ)¿"Þý¾Æ³ã“…[øyÖKù÷SùßÇdi~^Ÿ¥×»÷.~'{+\ó±<Õq‘â°…/ ?Z|M¼y©s+oYû)áä ᯪsÅûý/ØŸ§¼¬õ ^æƒqv>žx\\¿ž+åù#µÙNCý6Ý·Wñ8Á“YOÕeŠoáÇÆ8ð/‚žù¾ØÛŽ7¶z.Ü.^aü®çùÂóÁ<7ñ_ÁŽ—ãñ3c}áo—ò²tÞuÛ»®$yôx¿¿ÉûåRÝuÁ çÇù…÷£$újKq’ëK¼¾ÑkãCIïûQý7é—÷‡Óø1ù±¸Ïäš’<ƒŸ³ŒK|pÉoy·øßrÿpð¿)®«úˆüÎÏ„³àøõBúåºÆ²ß‰õ5ï‡~”ßv<2ôw§üƒeéx”Ö/ýNže\¯êŠâ-åÿµNËó'ß›ï~,Þ¼äwòß»ûmp¼Ÿ3é¼%|á§ÎƒÉ,ï%”^@¿BœP|Ézìa‘ŠjÊ÷¹N¾¼WlÈÚ‡ªýêæÉååï—z_ÀÃå~&ñ=³xü'ìGYöÛ²ÞCÿþYý*‚½©.VûŸ¾ù½€…Á?ï\wpžÐÆ~U'ª| qÎç–|Ã8»¥½ÛæwÎ3Þ”ŸÞ¶ü%|RøóLóT8Ƽ“· >¥8’yöóùyžÎ²/Rø›òV\o‡~>¥yŠqhᯊC"^×S^Áy‡qüoÀEÕoéý•?Q<°Ûÿ]ãSëç§9þr,îŸJü)ä JÈï²¾æàüI|°ø¤Ï‡G ·ªžêú…ߎw…{i¿šõbñÓÂwö°¾é¾iï[_x<öi¾Nb®_oôÇyÕ…¡Gâk¶7KxQÙ»ð£î­8eèyê¨K¾!ð{÷Ï÷÷Ö÷ãxç¿ÊŸ1~óï÷ýØÃùK|öÇÈžê½¢ª×Å}못¿ ¾AèOॠO¥éũ¢_ÖK_\î“wüìú•æÑñ©õ ÕuŒ?æ‡æý¬WŠJŒcÆ_ÉÂ#çÛ½ß@qìRï—>,ïK2þ_WŽñ y+ɺ}ã<ò©‰þñ¹Þ¯h¿aSžÐz´ø퀓K\©ø|ÁµSöîx@uŽßЇÚÏjœv=¿ò ÎWÿçƾ%שñ{ãó’¿ßqýÌû!ÖK /¹vcpÁ~lÙ©q.Ï£]ñ_?ïÁr¹ßBxQ¸@|šêSʘϕ]:^ˆÏ·½3¯ôWí1®÷zr/ÔâóMù^ël;vžÏÏÙçxÞËk¿í}8®W•Ë¯ÁO¨Ž‘âãAá qzìa‰ï%+Ÿ,}/<w‚.Ïáoù¾ðÇ÷å׿Rú ¾ê³7þ™/›7ǽĸë¼èÇÿÂÃàæa=_hžüyyŸ¥ð¾ø¦®_ï‹—>|,þbžíý–Ës[¼Ôþ4Ճğ]oó<–_Úð@û‰´_Ùã¬ñ†|áÂâwºoÑy"çê+¼]òŠÆé§ßëÄü9OSû»Àí3K¼•|'íc龙ē}Ÿ2Ç/0Ÿ¦u‡/š§X_ÔÊ›g‰WìøUÙ]ÊoŽõ®÷<Á«Æz’ð¾ÈÂ9×a”¿/û1Ÿb¼ã8òÍÜçd»¯u ¼ÎϹðþTû‘EŽõÙ½ ¤q~†ž&>sS‰ßÓç›æ—ûßáq¡¥7ž€§Þ— ^Ùÿz?káóñŠ§‹× ±K︺ê™Ògó˜_~}l{ÇÁ³àsoŽöÌÿ^ú]|oß{Y¼ôº<öo‡=!¿MÑ|[ë¾ðý^ö¦ý¬ÿ’§ù¦êp’éþVçßë=´c¾ÁÇW®»Û g±—ƒ|ÏûÊ’\ò‡ŒS÷…|,žÂ¾€å½`Â=Ûû áò®î]Ǽóóx¼Ëû8­/ô»î?Q}…ý}È´ÿeÙŸ#?µ¼÷ž¸ÓùCw''ðKÖCü*Þ7àu‘ÅýpΗºn@>TZužð»ñÆÏ÷LyΊ;Ð Æ«ûÆœ÷ñ>F×é=Î¥ŸÁÞ[»çV\üÁ‚§ªŸïöˇ±¿òkÞ¿è¸Øó.?ÍñÎËUû½Í×ÓçÍ+7|Ó÷‡-ëûEûOî‡}Å U¿4®ÿ’¼¹÷CKvöÂüÀá[ßí#ò¸oñòùûc½‘ðOóQ>ß–4/f|ßѸí7Ì—}ÈZo?oyÁqÕ‰Y¯Å:Ï0æ}yþ0ù9ôß|è`|VãTœüùOðµüûhç—ÚÿRõü ï¤}ü‹ï 1oYð6ÈÂió å*qj_OîƒÃZç£ù®ºÃy߀ËskÀ-ókñ7?WÉû½é…ü†ý…yVñjú“Æq¡,½Ç$Óóö¬çå/ÉÃ+±òöC¿œgr^jɃ©noêÜÅ?…óůÐ?ñÝå{ô—õ –ÿ|ÆUz­|þ²ßQ<“yv¯pHû¹¼o3=oá™ôÙÏÝ,œažÑ¿ ç‹Þ;®Q^.ÅÍËópdÿÖ‹…§ œZx¤Ç«¸“y÷>bú•xär¿ÈŽ×ÐoÏ{È[9žEox¿BÕW?”‹?\ò)^r¾Çë„ýü÷~Œ²¯„_â¥é~‡…w‡ypÜ›êËs™7ë¿ð®Žç8øy)ñÌòã!ϲԯÐOÝw÷7Óäó«4ÏužÒür‘C¯ÞóÿæÐëTo‡·Zúº·-¹¾û_û ”'µ?KqÆ–÷b¯ãwôöcùŸâÁÎ\g.? ^©Ÿ;¾Ž=$Üôó±gZð×þ^þ£ò[ÄsÊû—9>aüŠ7‹¯(¾ôó¬|œë!7ˆÿyÞvij\õ¾ußgRë³Ù‡Ä<8o›ä‚«aŸäay0;ì/ÅG|>v’ÎOÏéø8è«y´ã¨Z?åuÒ>ÿ×¹^°ø}ësÈ xdÜ©qÉoý³ò[–qŸdZÅ©¾¿Ä äK_ÃîÍg%{Ýá£y‹øvÍ£êV5ÏòóÆ}ïJ÷™{£ùZ͸'þ˸ýþwÇU€§xÿŠóŠ+‘…Çææ§ð¸Ñ_?‡xy¾£â±Êû ŠkêyÔ¡¤·UgVù±pÜuëg¤ÿõå_Ì#—çqš7ñ/û©vùxê ó‡¥íœù’¿/½w|&»¢NZ¸äü88Öže¹ðÊ }<|ÓyXóWøú¥²ÎúÌ÷¯ñ!¹žó»¸Þy5ïÃ1OªçÉ¡G·U'~r¬Cí;õ$ûÏŠóÀÖ|®ç¹a_Ê`¿®‹}†~ \f<ŸÊ¾­§ÕûMü¡ñ/ù5Ûߧ8Rçÿ¼P?–çÓà•_`Þ–ç ~µÔ“/f>%oh\¤®ÂzhžÊîµï/í§4Þ–Œßñ¯õgÃïàýc¾ŸÜ ú´Ä嬗ì£ðv|ï÷sÔþ"¯«âMæ¥ø.ø3ô…õ®}ÿªç.ÏQÌ/Ák}^òŒÞoô»øÆQþ‰û¦Ä›Ì½ÿ0ݗ㺌ù¦ó:e_Ìë“{_Ø'ráÍÕoáVåûÍ/函ÏËr·ÿ:ÖånÊ-÷š_×|:Ÿ«~.ñx=®³ä·Çú’tóïÔÓS¾v9æÿ®¤yáR‡5±Þ}ÚåwÊ^À!â/ìkØKå]ø~Ì3qZÅGáþƒêq”qaªTxmñUxÏhç“áÏéþ_û9lâŸ*µßp>Ö<|yox¹÷Ïú=•‡r=¿†?ÿø^ø•¤ë©eØYàÅ\×û‡gDïl_?Ó¸ø>='ÒyGó©ê/ë%¹ÔsF»¾o©üŠÆãçù~–²GÅÁÕ_é7ë[÷²^c>*NõølØ•ò–Ø‹ý<ÝÏ!ôþ¤eÿzÚ7€áúŠ§ wol%¼ë`> ÞÌxýœ¦ŠGŽ Ÿ–ýáŽk÷U¼¹ÉÏ;O)ûc—Ì[Õä—É'}4ŽGz?Uº¿¬ò†à'úê>Ž×¢T\åý:Ë}J®{Š':o‘Þ×àç¶cgUï€Gà/Á'Ç=Á/ƒ¯ïg©¼øHþ“ø|ÂßQ_Á?¦¼©ã2ÖKøóß7L»ê§Ÿ{q ¯¹¾ý¢óqU?"O¡ëT‚?«|™ÆE¼Pí Ç>G¿í·å¯~<ÚqzyÔmÅë)ŽÀÞÿ””¿{.ý´½zß18\¼Oõå¾xñü0ñQá”Æ—ò%q>vÒñÆÁúÌò™ö‡8ÕûY¶÷c¢gŠ7Ò¸˜ÏŠ3?yߪyœ÷ñ—Ô÷U/ÆNµ ò›\G÷ÍÛ._Çν¿5½¿¦p‡ùåsàs ?óFŠ_7(~YÞ ,¿ÂùŽ¼r~Ù~3¬3íüZû—¼Ùüû«ýPà"ýÚäÁ3ø짲ô¯ž¯¢} Î[ïxÛ²o_ùm×KÊ/Óp(ñ’ qÃÏÕúΘ·?¹<?n+¯›ìÍu¶ÚG¢}¼ÅïWXú¹KÔëyC¿›öS¤ûýþÖ£ûìêýVºN]OöæýYå°'ìBó°ìwR>Äï++^IžÄãu?U×y®xÙï¹s ž¶äg¹ç~mïÑלXòã›ý•õÞ@í÷ÛæY5_Ⱦ¾ü¯Ÿ Pñ¹ò+õ|sÙ™ßéç”3?…ëØ=x :Õ/‰ÛŒ¯—Ú›ùóÂýiÔ1G¿yO~·òíã¸ß¨î„þ|*Þó¤ãúõ å?ÿYîsëľ˜í}ºñhÑ“Óu}rï‹õA^½‡\ú±ìSíšO,÷G)oüÙhïWÎSº>áz!~|=q^Žø•üq§øzzÏc|Þ„xÈr.ëD ^Ç:+Ž®~©Î[ñ¢üàòüUî?.~¬ë:Ž îýdô·Ö|?ò¾¿OêSõ¯êÝ_WϱöûÄʱïRûô~®<Éçh_‚óïð/׫YG×5oÊËì÷vxYömÊ|0>Õ–çЪþ›ú³»ßê¶å/7u€ÒgòÁÄÓ²›zÏ„ê]K=õ~&IÇo¥øÍñ}=7MqZz¾õ’7Uo+ûR\åøfÙw‹y¿ð©ý•}¢wG¥÷·¹®±è™×[ëP|JóœÞ#³Ì‡ø¤÷éW]yøö;Uü Ê¼½êŸHO}?Ñò^Ó!9ûÖÀçzŽù¢ÓøõÉ=á@ÚQuù¹å=Oàãcôhè ñÅ­í¯”ô{KJïdö»®ëÙo8n`^^6{mÌû÷Æú¿1æ“ÏßëoÉþM·Ç~Î7FÿÙ¯ùí¡ÿ;i=.}VËõïåyÃØÙ†WîdéûÎË”ÿ¢¿âq¬/|òñ®Ã2Ì‹óhÆ)¿|©“çÌ£pÇúdáºöq9¾ƒÿ,ù)å ·|<ÒþDï+qÿ«¥öéׯ\OwüK?Ék3O®K›Êÿ:ßåç›.ëOŒ«š×Ë>ÌBüÊx¼Àû{Ós™‹çãË‹`7¿tü§]LJÚMÅšøzP¼Oy›ªÃ¹®5ú—îßñý#æ‡i—û߉C”ó¾¸O=OçËÏùòû SéÓq<2åy;öºŠ‡wl¿^—O´O£ôLxÌü8+üP½ ò~åC«>,>d«¸Oóá÷{Y¼Ž©nó}¯(nJ×7_úÕ…û—}kð=æ‰ùP~Úþ±x¡Ö§Úá8ß4~¯¼zÆá÷ù%Þ»ð_Æö%ÙÞÇ÷O‚cò?ËûY†L¼ Þ—~‡÷¥ß_óûaG3øîM%<²äèg’æ£Ë:°^é{Ùyu6>/yAðZú²³“åýÃAú:ŧÐcék½W¾¡}yÆÓåyØäKUA¿Ê¿Ù^¨ï‰Õõì7jžyÿ¹Þ›{uŸßhÿ—ô~âóÐçòüÎ{P>ƒg²_Eñ7q×)žàº™êüΣ/qŒxVùúyš¯©çü.ïÙL2ññÏê—ùè×òüÇé—ÆÛìƒãÿXóÊý?˺ߵßܶý‹—"i×üDÏyrÏëv:Ž'÷NeŒC,]‡¦}ø+ùß?ïºìö~ìÏÒ·Ãydò_Öwò®Ë©üáÕsqGÿ~&féç+”þÁ[5nxdéꨮTûÌ“®_v­})ÑÞÐìHüµâ²Sµì ýª_ÃkµÞõ=ö“À·©©½ÂçíÇïÜŸé¼²óË•'•~¦xÖ÷UÝ*Ù+uçq†ÿ`ÿÆ’×ß¾Æxô.¾’=½Ë߬yª÷Uk_€ãÔîŸëOà§ü`â¡ nÓÙ%~Ò|ëO]ÆçY¸.­|ŽõñºqÕG£–Gë羸ž'Áþ'òSög®3ÏU'‡§¡_ð;Å?~.˜õÊ~¯ö7i9|lÁ§ƒ~Ëxãúœ÷ ýJv£8ìj_™øÏ áß3¿~ŽrÌ»ÀÙãü‡ûµ¼Ÿ›ue¾•¯æwçýø>åÃàÝ ,+¿5Æý©æ½Ü¿,>±Üg)}rþl¹G²Ö×yOÛ…¾OïÓJþÃÏru'kNùRù9ç÷^üÝN.óN¿™gíùظ€Jßâs'}œì£öÅŠ:Þå|øXÕ_‡ý×súµ7–ŠŸÒóaøýcâ ñ¸%.ÆϘWi=ìÀ]ç)Ó¾’úžvÂ>i|¨ûÍÊ/š·|ñû“{Øë¦Ýåù¿è—ë>à!¸½É÷-v¯|Æ/³â‰_ŒÏ5ÎXOºP.|þtÜOîËŸz?ÐòÝPïÚñ¯K%õç×Ç:¾*ùÚ°S$ß[yÓÂ×…°cÕ‰8®ò:®;á×VüŠŸÇ^¨O=Ã~ñì³+{¿Çõ~(?âø!ígò÷ô¯ì@uäÂMí£¨}܉çÊ”ÞÉ®}ÿ»ëAŽ;žvºNõẎøðRŸÆ¢OÂkïSIùáÒáðÇò?ÖŸªg2æŸÏøaóãz |¬ç+î/a=Yß/úUyåå½=ؼ ¾}ÚΓ{_ôï+©|Fªw;:*+Í<ŒÏ~O“óMÕOדúÑgÂç}Àç¿ÜÿâeâË~«]|í߉ÏÀüvƒ~ §¾/ⶥì§ò8ðEáˆóm—ýìRçV|jœ_öúþÕµÉWy_/ýû-yU¯õtö?bCï>ï*¿ßßãGR½Ý²òعóÐŒ[ø¿ÄAæÛ|&~¥ßã<=‡üÉú3æ©ø¹ô`á_!Ïê¼à‚7Z×O“'ÀWÙ©yȧà!zJžÆñ9ú%ÿ”Þ/¿<ð =yÿáÓÑuêëJ×›¹Ž?[ò{:ïÒï—ã6ý~sÌ·Û]$çé:æ¹o}ò÷©Ýo û`)òûOŽJxõáü¨ýôÎq[zî8Qõåt}ÙÏOvŒ¿ÿü>·ÚçE;ä}ÿ'¸„¿T½;å…ýžuåS‹ÁÛ?0_6n¤ýŠK–<&óeþ"ŠŸI<¤Ö>Ãuä½>Ës‰ù¬q¦|¦qjÙf=Á‹_Z.ùñÉâ¡HÏ‹æÓû>j¾‚ŸÜI×yäŠ#¤ß5Ÿò•ÿ’†.q¦õyPþ3=fá‹ÄÕ£?˺ð»Ö×u êw >Éÿ/õYïWöú™çÈßÖs }žòêæ=Ìï'§¼­êÍ~ÞVÕ¨{³¿™:qþø{€ßù=±1¦ú×}‰ÿ”Wc|{IÕCèïÏG?·JïM÷¯-÷ (Ž6o\ð\ú’â¦%¬~»Ž‚ßóû6½ÿ²öÛ°Ò;ïGKu†å=´/+®’ä¹Kµ/x|§\· ®øXøã÷âù9/Þ7ra½àɽ„gÄ9èÁ°ôÓ÷£ømï—&Îrýž3ÿ²L¼Õ2ñ>óÂÊŸŽñ!¿¾©\üæøþCòŽÚwg~Yö|º?ì*¿ Cÿá3Ê{=3~é{ãVåE…'gžÜÇï ï /Ä»*ÌxÙÿÈþ ø&vâ9çcœŒ=qÔ|q ·e§Ê?¯kÞï?¼»ü þ†¼ãv~Ï~3쫺n]Å~ä3­—ïßòý¦©·çIíUþy§/§ós5ÿ¬G¨ß²?:>ÿ™ºíhQüN8†_ðsÖýLžcÁ¸‹ßßåý§è©ë3ðúM=¸êUÎÇaŽÓß¾BÙû–-_xîxa\çWC¿ W´~õÞƒaÅkÑ+éWù'çÓ¼C|Ñ<€ç<½®z¿EéxAÜ žj?BùôJÇ»®³ì;Ò:€›~„ó7Þ÷k\wþœû;Ò}8Ësõå—Ýú]vm¿Tßc?ðPÙ?xZë ~iß ß§}8~ŽMùü]¨³-õ>ýþ™ü<ýÁ_ïø—yÞmË—ÅSûŽ?Ñ+ü;óí|ç},ÿº¼Ç0øýO…ä+—çËÞ‹ï„ú‘ßÃQq¼»„OP×±û½™ŸâÃÊ+0_u߃ð}Écw×+ÉnŽósí÷'†Ÿ|r´Kýçár|ÿ³y?ü†uÞ(¿ðäžòɵN§qøò¾´—OîiŸUé£ð{yÞ¯ðÙûL* ¿ì|lÝÇ¥<„÷Ñù}Ëó…é?×U]{÷ñÊC⯕¯ò~»Åoï¤üâ²OFÒ<‰ùñ¼$ý08Ã<“ÿ§_7Æù™üϯ¤®i^ŽžÖ}øŠs±äòž@ìkðNðÉ÷õ˜ºži»IÏ'®ûÅÉÿŒë-Ï7‡÷É^‘à—ïü¥y™òQðós,]ÿq|R×Á/'?#\#O˜öaú¾ªôR×w˜×_»}ùAóIüeÍ+|j´W~H~¡ô[ñ¦ó4®ÙoÿÂ~}µŸã<û+åÍï?Þ£Ïè[½oCû0¼?üÒ<Å/Áïßp…Ÿ…o+ô3pAý÷þ=ã¡ï·æû/ûŽëàÊCò=Ç­?¿1ÆK;oþò=Ÿ©‡'ùt¬‡ûýæ˜Úÿn¨#¤÷TU\¤º-8½¼çEù¦ÒÖ{U|™î¬ýfò®¿ÿ >0Î_öYcÇÔ]'ãW~­z2ý*»Pþ¶x$ùÆ¡WŧàÁÆ+Åû¶3ç}ÊŽ¥ÏGŸoî÷Ú,~ˆz¡ð±ìž£üF|´%¼çÂ}o—çŽõó}Øõ¼ÕYìÏKš?ùð¾óŠåþ Î×~çÓs¿+>ÓºV~Gü~y¿§üuIû½ñÉ=¯ók?ëøÁ¼‡¸ßzàºrØËâsøUß?Xul×ÕàËCzߺãžÊwŠ¿¤<ë'§xùäøÉòÞâq=ø¼ú§ð:éÅsÙý²OpcÞRú¥q”~þ,ûù'´¿«§Ê>Jÿ—u&é÷óø=ñÅOƒ½-z Î⯼Áy2Õ-hœ²÷²“]üåû!|Ÿ¡ù«ë6ŸÉoº®äõf¾ê~tïo®ÕúÂWÇ<g?׺,yìLþÙ¸·<çšvÅ–çsŽþ{¼ïâéMͯø)8±Û—üYÄ7Ç…ã3<붥yÜ¥¿¿1։ϯyYøìðË”W}ÃþBö·ä¯Oó W÷Eà—ˆÇ”¿ÇýZøèýÚÅBþ=®3v¥ø¯âOùÛ¹ç¡êYÊÇ‚KµïLqËR¢>Æ>(åQ ‰ƒÐOå_R^øêWâÕÅ+àÓÆuÅu5Ú×C¿c~tÊO–8\ï |KÏ7‰ïËYpÀyæ}\w©‡+UÏ/!/¢y¬õwüƒ¾:Ò~ -o–;ZìE|¾ü¸ü‚óæÃeßʃú}SËøÉÓ‹w£ģûë}T®³~êyS¾'ÝŸø«³ü@þ©î—°d^äÏC~÷É=â0Õ[ü¼jOõâYÖ³üú…y›z®ú1>3¿ðÖ£ö7²;ŸÙ'ż…ýÍ[ ¾Á ˜gsøÿÚoj¾îñ€£Ë}–©¿Ø/íÞìý\·ô;a?¿£7à?–~^Þò¾åâ~â*êïÄCÂGÏ3ü?Ù‰q¹öµé:K¾Žq¨Ž’ò¯üî}K¾˜¸wèïg’[û9ú|ºÂ]͇ãnúM>ðRùæ˜ø\úìïÉg¾9úùí±®Èïýb¥óŸÎ“’ŸDò»Ûå|óÖ§ì!Ì×r;ü„õã„?˜WT> ¿Çúh_×û•ì«ò¶;ÕMŸx’ñ ì;q;‡EÏéŸò-¾ï¡ônÌñ6Õ'—8\שöÁ#ÕE,—}ç²ö9<;µ×'÷ÆúÙŸú¹¦Î+¼>XŸÊ_y^ÌûX?x+ñ2ãð|§|$ó§ëå{Œÿ3Ï#óÀñªsùù­~ÿg|8q/ù‹ÑïÊÇä×Äëý~ª»"‡¿®üî¯$}uí¿§=Õ½Ü~­ëQžÔõ–ûiÀò—ÁNüœ\¿y‘ì®T=Âñœø ýóóbùÞû°éÿ }Nq“ý´óš»çüÀSáoƇÂGÙGÅeð5ÕmGû>‹ÒöÁ¹Îî8Í8;>ï1n¾SÏOzÏÎ×9Ÿë&Ä]Ø?ãWÝ:Ú580>pøKÙEÍó-û¶þ¤÷!0ïà@ÕÍB»‹þý¨zó©ù·ÄU~Éó&½pÑþ”óDœÏqe/žåSj­ÖuyþzÁ:¡¿£½ºo>"\ý|_ïcs^bHÛÿ¢§Ø'õ ÅO·0ÖYú[yQóTõ«pCãªçG9Ÿ(½Nõ~Gý|bÇ;µë 7°çÚ€¿ uIïÃHv¹äi‡žø9kIŠ—YûU‡ ùÓå>xÖŽŸ½>ÚOºnÍqðÊÄç©|ãQÉuàÁÈÝyÎÚŽ½§ê C:OSû ‰K¤ì ±>ìøCíó þÏùºâmŽ?¿8þÉ£q8Ë}Ü¥¯¿-þ^^ã—lÆyp@õfóá¥Þ2dá×Qž°æAù*ßÏPùš´ŸÑ~tH¿7ùx_õñzãCåE–çÛ¨?ÜgJ¼ìçÊŒ§u¿­xPO}ñŒyúµö=øy^GóãZÍŸúC?~#üeHá"86>OS¯ö÷+ç}Wä7Ðÿe=¾8þÉ}ßÇÆü‘ÿÑþxóQë?0ã>ñ¹üŒqž# ?[öàðÎË?S¼}èsáÞ˜º/Ly=ü=qòòÈ +ž6¯S¼Túm"® yTïöýgåÐOñ ïC­}«â•¿²ž0¯ðKígô¾FÛ“ù¬ãdÚ[Þ;øBÝ¢}7Å„Ké}Ë}òÎ7Ü4ÏOyËŠ›ÄÇwï‘òþŸÚ¯¬8{t×ûDÊÏ:nW<îû¤ Ø=ô#É[ˆ³Àë/úùäöʾ]×ù0ù'_“=;é|êgœ'\ú­ürñ-ñºª7^vÓü!íïäm·›î·©:’í^zàûa«~ þP8@žk\¿â-òè·ì…ó*o¯|ÙÀ«Ò+ó^ó²Oõ¿û©ð¯òqð å-žËÕ>A¾—¨~°ßüÓþÆ%>Ôy~îˆë«Å+e–Åó´>zþÒr?q|>šüç'§þ ?\þØï Æ.Ñ ç5ÈÔsÜÂþ?Ñûpø~ynÈ)^”üÚ~Zõý´Ÿ³ð˪X—¸nP¿süX?÷—üĘ÷'”O2.×u4ŸÞGÅõÁ'ô‚vÍ£½Î¾¯å…æÝûĸymóf×Ò|º^½Üg¢ýGb_ÌÃèG½ÇIùSpx©s‡½¯©ž«6æ­òQŽË÷ÒOÖï™xî'Š?éùl­“æ§ø v+}¨çÞþ[õáùy>ó4ò’©Þ}©äzOGÿ—:ù…û9é7ý{mÌû1Ég}®OÕuBýÍ~(æ“GŠŸ¹ný©ôxù=ÔÅ}=Û¡ß+ëûÅœ‡O÷sU~Dñ»ý+ù$ì‡ó*oB\Ë|Ë=“4¯¯çÄi<ËþÇÇð7âYñ{ú½ðÚ÷Û¿UÁ|a§äKÆu?gÞäŠ'ÁóٷĺPgUýÏ~ËùñtŸ·ñ¹ú1ÖYë û»>×ùõ<•€GÞ×™ü}ùÑÑŽëñ®÷”_Ôú%>”êyËþÕÇü–ß±Ÿ©<8z)ûp~cÉÀë¦÷×ú|1OSgúùKáù©_†ý„^ß?Àø+®E¿.Êný^™ªGê¸ ëyGæé9ÈeˆëðÅ›àLÚwJ†8%â혅ß}!«~ä÷¼,û5ãw߯ŽþwV@víçÊ,øê}›òKË}¡Cÿ(¿H;õüká—Ÿ^¼UóìûÞÍ_ÍÏwñbÖ•8Kó˜ü^ÅùŒ_ø·«3–Ã/£gòç‘$þ%^ ¾cܶ7ð»øCï·ãós­¿~]Ù 8ªüüÎ|ñ(L¿ïÚÛµïïwŸÊâ—’ð[xgåGnZV½Ÿ¼î—Tú9"Ö÷å½=§8·Ú~’ºuHùüVá yOò¢âwæoµJõäÁný.äoñ£®S^š/)<¾T?ÈgÊ—ÿ‡g“ÃŽá¡Õx¬þWž|7u函_¯ð€ù>Xú9r~ïiõGúâþ×:ËŸU< ù2_\øúÌñÄ)ÄŠsJ¯”ß®¸_ù"ûÏåþÊ°ŸŸ¸©â"Å1•—rvœ—xtºß)æqT¿yŽ'÷”Wóý~•¿§ÿâI»÷Ûÿ¦û®ç-\ã#~Â⺄òlæ•1.÷ƼÃOì¯Í—ŒØoážôoÁ)Õ¹çÁ7êyqÊ«}xó]ÕåóƒG”o3/»†¯Áç˜ÙÅsáÿ‚ ²KÇ¿;¿å<1Ïëñä>|Rö8úYüÝýŸ}¦ø|þ˜q‡ºñ9½· Þ\y@æüÙ’¸P>»æyòOîñ½p ½ûeЋª “óŠzŸxí“RmÉ;íòƒÂ=×%¸~åwÑÃPÏ"¹k~÷Êù$zà8S<(åÊÎT+û‘·ÿg=l_öÿÞ— °Ï]vVõcúU¦kJNjůÇøÒûp ÿ§V^ÿ oxìúã¸>~Ùï6ßó} åçäë>“oœÖ]G[ê÷ ç6u]ç‰Oc¾£|W忬GãzÌ#yŽ/=ÐzÒê_uv†Þ ¿S¼HüµòÊð"ôE|­êOòß橵Þú¾êåÊ“Õóë9dí—Ð÷Ë}Nã:ø‡å~Ç9꟟%¿P~«ò+cœÛçcOàÌ8>.?ð|H¦úSåíÁ[ìƼDþÏû­>wÞ]|Òï©}㺟Ùßùe?2¼}Bß]o)ÿpè(_©ûoX'ï# / P^ì…õ…õP\µ<~Ø®h}æwõ»î£¬~Á/Ÿx¥å²~ŒËïñûól'~þßòžñO(?Yñ%v‡ý ×CO–zºÇE‰õN€ŸUWѾ²tß‚ïw­¸VÇ9^©}:ÂUû¿j_~p™7ñßâôsÌÓ]ó»W-žÿ«ûÈñƒìOŸÙçâûU½ïÈñlùqá×1¿eÝŠŒxzÁ#ôKøZõíËYîóÁÐôQýXøçø=ùÿå=¨²ƒŠçØ…Ý€¯ðCùçÅ«½Òwáïûðû&Ëo8ÎÉŽÆü^Åÿ®÷[íã1¾ÛÏW~MùUòA•¢¿òu?ïøýséµý´ï^ö?ѯ„×_ÿäÁ·ýq’õ|Eí'ÛøéªóV^Œë*XyGåoÆu꽬…·Äwà¼Å’üª®WïK¡?è=ó§öG}¢ò¥•7àú!N¨8¾†?1„§Ž|(ó…þ™wé¾£\ÇÿYò$cœeoü>¾ÿ|¡}€Ó²ã´OÚyñŠ·G»U?Âî°‹/´ñ½Ÿ¿ìOfý†Áüž[ôÓÏ]KûÈ°‡ÏÔÖ¿ê<ß<½ï¯pýGOÆqŽßR¼kœ/žöå~*;+¾%¿i¿å÷ÄÊ¿=¹G?÷×~òzÄÃñ ¯gÝתý]èeÕYÈŒ~Ù.Ÿ ÍãêykcÜ¿”Þìò.ô}Bjß«âÊe?óEü+¡òØÖ'åÉ~-Qñ„ôẞóŽ~ˆß7Cün¿Å8+/2Ϋûä…cËóBT‡gŽÞ‡°ì› ~Ðõ??Ðý¨çÒ©mÜvœÍ|TÞêÔßVÜ1Î'Þ­zó°±c?GN¼äjÿóÏüîsÍyAá-8¤úÆ3Í{ͧüž%íú9–ÎKU¼%^P¼Þ/¿ö¹ç+øzþŽdé‘úµÃSó‚ÆŽÄXö£%œ¦_‰7ʯ>×õŠo¤ÿµ>!ïä} Ø¿óÅ~>[ùWã ýg=™Ïë¾z}©ûŒï?—Ÿ¬ëÊ>K¿àIøá1Ô_“(œ†wˆ'ø~ ¿·ÊùúñkÏßùÖÇþeðwžû^¸S<Óù+õÓû|?ø¢/›}ä¿BžýŠ’§!‰#¼ïÂþ½õ³x߇ŽKq“ñ6í3yªZ×ãjÝá©Ò·ºÕñ×%ß!ÞZx¡ü ß&~YÏé“Ÿ[î7 ùTø¿¿>Æaù1n$û*ßí½1ìÉï¯õ;*Í÷.=yôúÅKÆçåþ ô+ä3wõð_ˆ'Ø¿û}=ög~Ÿdá7quHò–CVÝÔù8áRò?‘Ï_ððü’}™®Ë¤ºxUñ4z?ô{¨|¥üýX¿²×ª›Â‡$_Qö× ÷뾃1NdªOš—Õ¾0ð#èëR~‹z£ÖÃ÷,×ÿà|põIÏ14?/>FÜ ½à÷åyZAš_ú>lß_ç÷gæùÀJoíG­×ÎËÕ>bÖY8ñ‘û=ô´žç"ÿÏ&Žô¾ÐŸYïˆó´ßcÉÿhËþVå{žã×F?~9Ö‘}szÞBÕý>—}/Ï!“ŸZöo¨ßƒÕýQ•/ŸÓ{éoÍïoí{ þ¾Þû3ð‰>ÕóàQäñ°ê!ò¥Oò§^—Âá¸ß›ÖÕïëÐ<^7àRå#áÕØ»ôßñ¨Ç¹Ô#Æü£ož<$oS]öJÏNÇQùyï\px´ûkù¡zþ¸ôk‰O‰°éká ó$þ—ž_°HáKíNõÛòýÈç³?§x8ûIÀ©Óx³ìºü9q ý;ÅÓ+»_T¯ó{>º!ÛñÃïüâ>×Æxæ9ùÖ7Òü÷µ¡ÿ;Ö=È'÷Ð÷1¯àÆoFÿKþ¾BÞ»ƒ3ÏäwˆçäGêýqŠ7¼¿¥pCyÑÂAå5ŒãK¾d´SùÌ1?‹ q#u†¯‰o%ý7ÿ.?«ý>K}LñØgÒçÊ/â_¾Ýûb]WyʯîËPÀvä¼ë_H¿×Èï×[Þ×ÿc¾”,\áeä Çz¹^ˆÀ¿ƒ³KÝvÈ-ŸU—^òø=ât×׃ßõ"ü½>»$\,;ó~*ï¯zëË:Ù ^ãõö{ø*þ<îkòƒÞJû¥7Ì/óB¼_òþ¨e¾oIù%óúùïÑ<ú{ç—û‘°ÇŸó¾œå¾dâMühÈSW¾RyÇeßyù᥮H/ý¼°Ê;ùÍX?ð:Õ-ðO¶g÷ësù3ÛaŠ7ÑÇß’?⺣_uŸ¿ê!U§–Ÿ3_8þä‘Ö»öKhŸ@éóOª#\*á[ð>çùø¼$Þ÷æÇå›w%w~¬žÃ€$ߥ<ÓgnÜUÞý_ž› §*ß?$úBžÍï1?Ôóä‰Æ8àqß §ÁßÚßD^…ãd‡K=’yUÞÆöLž±îWuFqöb‡ÂüÝò\ ­S=Îö¤¸Úu ?ïø×ô»ežÇ:2à›ù„ñ’uyÞ«âÿŠÅ=ÿ/„Ë jžÅsŸ›Ï$ž$¼wc‰ûµÎÖó¸±ÙMÚÇì}®®{ºÇøŒóàúUÏ+¡ÎE½jŒÛ÷;øùö¶§Â3ãœp-=wÜÏM¨z qã'~Ão‰Ï0Ÿ/„#ŸŠ?më)Hé›ßƒUz8Ž«û±À'ÖKqÂX§'÷…Äo~Ï×'ÊWp]?¯¿ìJøPûÇuØ_´Üwü)Ž]pŽvd'öGÎ?Å},Šç ¿Æ8Ák=ÿçÉ}ü û&Æxý»qñëª:oÅ#ÆYÕÇ+0Ö…uªë8¿¨|náãTž©ê‡²3úçç#ƒ[eïç×}׺Ÿ pZvã÷ —¯žm^I^bü^ú‚ž€wƒÇÒÎ]ó»WÎ'µN¾ÏMu—š§ÊWÊ_Ôó^¿øyuÿ$¼ƒ<¾ýå8ï_ŒvÑ“ÅÏÚƒ ÄåÒ{ï_/üùž<¦~‰kÏr-ûÛ•wõsßè>ˆ'_ÃðÌ+ùGá“ßó[|á4Z8õð4?´¼—z©_àgåW½Á²ü$<²ÇŸÒ‡_êɲ¯B¸Åóh~Ù?ÐoüŒð¸ø‘êÇö'ÅÃi{ÏåÿÊï1>+³à*ø#{±VÜDü ŸóÀõSþ¾ìå4v•ûϽ©âWûöèß)®\Õ—¨Ÿ*Oaûˆ÷Ó _C¯á%Å7uógôgàÙ×X?òŠ[êù©c~«¾âñe¿„xßCá<,ëäûM‹ÏÃï¥:±÷A.*îrüºàî˜/pòcézBû~¿ƒü²OÄïc¡~8ßœîßv='í„7|ðó¾ô˸ùüÔ¯”?ôýøès²‹ÚŸ4Úu=›y…ßÕ}6ðv¯‡êUË>ÏÓù¨uñs–:šò)ßàúžǯø}.¿ù7âÄòK¾Õõ!ò¾“¼¥ñèþ¼'ÿ«8ÜvÿKñ†Úß2úï¼ã÷Æ8“丿×c´ÿ¡|þöXŽ'I;ÅóÆyäG-ùÝÇñùõ¡ÿé|É«z7x£ºƒõ…? Î"Ÿäý Ϋ”~8O>Œù*}ãú’Þß‹žþHÉo“¯úš¯¦ž;ìyN‡ô¥ð8^MÿBÞky¯ƒìÙÏwôý!®¿,ï…ÿQÆßâWu~ùWáwp‹ýUô¯Þ“Cä÷êþ;ü°xUòÿ‹úyl‰WŽ~]Õõñ3Ò{é“år?Χš—²ÆIüͼ3¼Íû½J_Ågü½ã¼¯i¾–û ‰OàŸÊKÖþ‰1¯Ø÷лÚoèüBíùƒÊ;ïK?8OùæÒ_é¡÷/j?o­—ë-¶ÞsHÖûû±>“ßZøuapDü$=×öcñæ=í;¨q±ÂYÇEé~Ϋ÷hàg¬×CþæÔß\=O‚8Çv|Ê#—ç^Vý]óÞÖ{ÒÆqèû/åz¨ãžâCí£±_-¯õÅŸøù:~^”íÉï «}PãûŠ7Æxá_ƒ]½{_þ‚ýàWòkÆWá¥òk¬ÛZßà8å—ûàýÂgÊST~Lñ²ó1U'ãý´¾yñ«eÏÎØ/}¤õªçõ„x¯ò*½?[¾_òàà5<}Òyµ?ÿ Ï >à¸Ó¼·åo×|ÃÇ^°^Š õ>Ê+=ý~æqöù'¯o½Æû‡àí¨§ñû˜7׌ÇΛØnUß[ö̓gN–~c×|ÆnÇ8¨gø~ñÈ+½°i|®žüG’žó_囵§ô¡ø¢òøè•õw©›ÁƒNõ¿dÕë8^výÞëüvŸ:×Å­ŸŸËߧ}¹eäXWéQÝ7Æ]óK¨ß§¼Ø­qj‘ðlxžòûŠûyôÉu¨’ðVÅqèGÊ¿åww%ŸŽþ#¿5ÖëÛã|Ûü”|ìN&ÞÍ÷»ó®û»ï*„^¯Ä¥§ú_ú^y»a?èçsóÏSžR~©ö’¿8ý\çû¾xòˆu÷IÂOÉ“à÷NíኟSwåºæÝØqìqyþQÀu?‡~±à–p„ù%¿â÷y_/íW}žzéøžõæý•K½'äEWê9›ì_ _˜?ÊõþÙ~oØ·ë{±žyꟈ¯Šß>øÆé> ¥Õ#?•?]ž?âsx˜ñ\ú{µÏ•øÁñ­ükÍ»â´z±ò HÚ_î³í×ói—üü1þR~ü0<õ9ó ?t^Nãsþ=Æ1ŒkSÏ5þ´Ç³+|P>NõëŠKµ¿¥öýU}gŒ‡õ^ò¸Škª^8®óXyŒÊC±^Ä»§üîJ/Æõjß¡âåŠç±›ÓúÄÏ’?Xê>ü>ôªêÞØ‹úUy2ó”q½ÏÈs¨.UõùѾŸW¤}±F¾²òDã¼zþcÀé³ß7Qú_yôžÆc9úñä_±nŠ[œ×Šödœ²É פÿ…_Úo†ô}r¾Ÿ=µ^‘ש÷b¨îŽÞù¹ñɯùù¢ Ïã]á°×Õ~ñ4?WíúyI®Ï›%~Æ÷¯ý|c¬/üÕ|ñéèïQùí1ï—žg Ïåsåq¾©|'ó/;¤žÉqð@ù³+»:•Wù<ðÄz«nRù8òµÆ!ã“ò*µÿ]ûÝŠ7 ÎϨââ«öÆøÈû><­Ã^å”g*ž7®[ÏÉûYi§ö±’/$žf?¨Ö±âð2åõ_³×ò¼PIp¥î‚ß3Â'¿g©ç‡ý~^zXï³Ðþæçק¸¾èç§ÌƒüTíûç|ø(ö’xël^s:WþŸø‚¸£¯‡^õWëÄõÊÎÀ7ô›ü¶ëp´K=¿+½rCëUx‹_à9@Ë<ûzøƒ/ÆKÝýjÿ˜ÖÁy>çûG¹/\{ȼœúµøØ’ß/,~^1Nñ¤ÚgO^‡Ï:?å¡êþ x"ykô{2/?Ïï;ºâûʇW¿¨8ƒ7žò€âÝË}à§óSïsÔ¾™¤5Ní/\Æñ+áoñß¡¿Uwý|þê>xý”¿©}üÃ^±gâ ðBù?ôÑþÃÏI÷3]Õµe×…çè³ãFû]pí´î·ÜöÜu0ìš|±ê³5?Êëþÿ©z;v縸Þÿpš·¾âç|ÏCý¥î&/<ìÉû‰“ª]æ»6nÒOâ á$uwøŸ%¼ùæèïQùwÃ.=i¾ó¯’äoi‡Ï^ÿºHö±àŽì{Q^çÉýál7÷O÷çÅ|DÅ=àzDãÔŸ/ÏÓ(üP1<üÀx¿ zï¸Ú~õy¬õ¹‹ôo¬ãoù}Œ¿êl¯÷Ô}Bì›øâs]ï>ûbˆ/†Þ±NuŸ5ü?xÂÕ'ëþÿÓ} WëMþe\ÿ7§ý]ô²ü™óš=gmÉ£ÕxÇøõþCºú3ô¡öÿÿ2._?ÿÑ:ù9!¾¾jïÔß.õç}ƒ? {dî/4æ¡ü§âßznõ‚aG¥çÊÏø}šÞ—¡çŽÀÃ×ý èo°Çßð»òH£àv­x ì}|~džŒ½O“¿âºÚºä+·ð x™öÛÔóáµþuß<ú<Ö÷_~ót?~íç¢Þ¦¼Ä.ÿ_úÂgôàôû«çîQ¿7Šw×xã~îsÅɮیóþ«Óó×<ßé:.|úSãí8þ9Õ'òÔW×U=âÆïë÷¯WR<ÚõJôž_ûþ°ï¥.½áoß×Cþí¸íÂëÈg"«ñEη¤ê¯®»“Ë~$øÖðÛåoNñn‰¼Dû­–zoÕ“Ñ[ñ½ª ú%ã“û§uÑÊK¡7ØSí[áúøa_¿E¿¸Þ©¾]IévUñ4~lôóÑ鸮ôñ4N,`¾Zû+G+~+¾xuqü&äƒÒsˆï ï*ßO—_ñ¾ãŠï•·[žG"ÿ»à(|áôþŒÚgJ=µxë;xïy<\u^y úG^ >PÏ»†ç)/^yÇu’Ä+þþ¶;òp§ù?OÁå±µž5~ñžz¥ì™úÌ=ú/<Åûú½îwQ~Ðù6ìퟱ7ã3yö«“_øüžÞëÃ/à­~Á"© ¬÷ɱî§zuµŸ_z»ìp^}è 8ìçMU«çaœâù—ûï9þTÏW\°çÑã.¿fÿ®üoí+ þeÙï7®®,÷U©ßÿ"Øëbw§ññ’Ÿõ} ~þëüúáü–ò\ÞG÷Ó1¯¬÷i|Y÷—êšWõMóKñë¡ó‡Å_Oó•K\Uû“Uïª8ê4¾sÞåÊïáçÑ{ǽ¼Â/éµ÷ oøºöõö[òŸ±+ñ“å>*Ùÿ}xŸò”øÉ_KOˆ*®5of¿Âà…ŠïÊïø{½Eú½‹#¾‰~œòãíÚžø¡ï§dŸsÍñ¬öC0®Âeú1ôÒõ σæcõ+§ñž×{Á!ð¹ÖÿÔŽ®ÆóÓº·Ÿ÷Syq®ãý©è1þMñõ²ïÏmçHìNûWíŸê¹æÅã8?8ç¾ðk‘Ä›ÌoÏ»+^ûV„ãÎ÷%ù­OHïŸ4Ï#¿ùÚÀŽóy ¼¯•oÊOÚ‰ÓˆãbçóWÏ9ç«zG8¯öŠ_'éýo)Ã}àå?f¹žpÙ÷Oüö”G:oxU<­ã_ñîÑžíÊyGßϱØÕÀ'?'×õýêö¬ø´æç4>ã90Ëóáê~ñÂÂå§ê=´g»$§u ùÉ«þ˜ÿñ;yâÊS}+½«qº^«¼÷‚W½\î# ¯ð@úTõV漓>9/©¸±“ûZwó†˜ïU|Qüþqº^»üÝr¿IâÕ¿!¯Oëóh¬_ÍÏ©¼âw§uܵ¾=æ…x²®^0>ø_'ÈóuÊ—÷P,ñM?WïI?˜GâóÓ<ìÒío©ý&å]¯óó(á4<û¼Þ_Å9ÚNá'ØGîpvùWÖ^Gþq¬3ëWù@ÍcÊ'1ÿèÙƒÓúÒU¾;Qž»'ßò¦Wú¥u(ý‚Wžê[ÙÉoX'ÖïX~ù*Ï:ôÈïyª÷% G*oÇ>{ðáÔVQþƒy>;V>+{}N¼£ø¨æ™õÏ®ýõÔ¯÷׿j;úG?êy² ÇÄ¿°þÚ¡8`ÅÇÓ<›ïW«õ†o½6ìüRéüàuÛ!_yôø7‡Ÿ‹yÊ ‹çkŸL­C¯7ö¬¼þýÅ)¾å:ßéº×>Ê/î›»ÊG9ï3Ú#¿_ö ½¨øò4­}…ö?KäÔ×Sùž}ƒÊTü©¸{x |ŒŸç‹=‘ZÞ¿”Ö³ÿÝÏ òñOÉ_-ûžÈžæ“xîi­k=¿hô÷“ ‡#N¸ê<Äúhž­v~Óã;u1ƵÌWÕ¹Ñ#ð3èÓ}êñð1×h¿çý`Î3Ó·+|;Í-ïÝ(ž¤:þ©žvºÿ­Ößñþ˜«}ZÉÆñ¹é4οÒ#á üá‘ôƒºûçî—ðíÁ©=Æ8u‘ažÑ#øBå³À çëƒú¾¡ÚW¬ñ<8moÁ½_ëósâ®Ñ¿†ßÊßRtü[<›¸ÀyeǧÄuÁõ¡~>ÍÇÊ{%IYû€¯ê‡CêþÏeÊ}éÇRÇÑu+¿~züUþǼUëÿ5Ú•¾ÊŒq|rê×kßÛ§^g®«¼eåIÇü.ñìàûŸ‹ç}®üÅCÖ“þ;ÁÎB^iÅCç§ÆüÕ~AêÞÿë}‚âÏe—aý°ó‡Cþ‹q>÷ñ|”ª‘dŒ3§ë¸Ôêwò¦§uË«q°^ÈÓüОê‰ß+Q¿_>Öu­ŸòSõýièúÁ‚ ¥/ÊsPÐýôWz‚"¿ÉüÓ¯¡Ÿ—{½òû"Ï|D…$þvZ—Züú×Fëýœä}Æï5¾q}ÆñBëY¿Ë~>Æïºî-üƒ×>æž,¼òÓÓù¿ÊsŽóÿó߯ßU]›uþæé¾î߀?,÷»¿ôO~pч¡ßäQëþŽa/Üï\yËÓùbÝÖ}R§uÎõúÄo§ùÉ«}#ÌËiýÉ£”ýÒ.~Â<›<™úòV«U\[÷)x\§ú³Ëk,ù¬z$qàiÞm·ßaÙý[å5´¾¾/èj¿8~Üó>-Ï“ì¨êñ´ìdá\ç´|õ\TÕ·ë}ƒÁN—üñêiÞû §ý9å—WyÕaW5Nãâ8ŸXðk‹:D܇0¡Ý€5oÿ+Åz¯ÅÕulÿ¾Žù”ä¿6^‚ôŸe\²ÃÒ3â›S¿½æ½>àþý!/Ëç3ÔÝœâÑR‡.>¯¸È8*~ñüŒù«ºÚh^]ú…^QŸ„÷ôõ¾ú¼<ßÒöÉ|3ŽT§ uY®WÏ%r }vÿ-{=Í»¸Nw¥Ú?C^:Vñ Ý×D[Ö:¿_yHü+óˆþÑÙïÓ«üö8æëÁèïãÁÄK¿Rœ‡?| Yù!ö?žÞ¿á}65>Ö¿pû.Þóxî*ÏXù%øÅXÇ_ŸÚÅ•õøžcñä1zÊ~•S=[y¸òR…W§úSýaBÕ5¨ÃHo:ÕÓeŸáç§~ÓÏ©XãwðAq£÷íÖüp><û<³®pH<¸ž[Šwk溢óÂÌâ%=aG”'z õ..?B¿~x¡p¿°Üw.ýÞí÷øÖ˜Ÿ§ÇJŽóÉ3’—|mÌó·‡^qükCï9 £®4Ïã|úÃç­ýq~I?ɳÞ5Ÿ}ÅrÍSzÇ {Q½sÙ7ãýqä·Æó ®öÊÞ>U~Dùžûò› Òþ´z¾ x~>.»âícÜÁE·ëüÙ©Ÿ[êØŵ<ÊÄsz{öó¢¯Ö“z×À‹‡‰ß§ó¼îó;ʼnÂwâûÕÂ_pиéu×NóBìß½ÂõÑOö{<<ÝÇpu}øý¡ý íïÖ弌ùåòã§õ#ëÇšb½.í‡ò.Ÿú?×cÕꀧ|¹â‘ª3œúcï7¿â3ð×S>yuÿ3|†ûíOùõúœ ÚçÕýè¹Ö½ôõqœè|ú1ìüó]ÀËG§úPöëz¸‡žò>´²_ã?yFÆÉúŒø«ÆCÝEãa^*.ÅÎÐCòœ(MÞšºZ?Ï+nŸÎã•Þ©ŽYùòâ ^ßGZ=GuÉ—Uè'xuŠsO},=;­Ãøy4Wû£±OxÑ8Nq´ëÍwÍï¢|mØß÷¯ƒwËáÃÈį¿?Ö•võ^‹X·aêõÕýcè?y©Ñ®žŸœî½Ê#Èo û®û`KÆ8ÙW†ŸúÌö…ÞÁs°ÃS^w…§§zñ+á{é5|ÿ‹*¯ãý¡Î‘gá=šŸËN*¿#íçÊŸq½Sžežã}ÕOþõÀe=máãªã×ïܿžIãû•Wr^½ø<û¿ë~ x€y»êB _Úð´ò+à’ôõOXö­»~PëÏ“OŸñ#µŸ_~£òŠè'úF~_õR}^ëZߧ׻z¯øX7ö yj_4~bÌ‹ï»V³Æc¾Xoö§ð^À_I?xŽ®÷±.Õîéz¬v8Ú}ÆüŸòÄø>õO´Îìó(¿¨} Ô5/WyÍÓç$\­7üút‹yóU|1úÇ}z.ÃrŸ×â·á5çã䥭çü\µ7üÏyBŠOb'ª“•}©=óõƸäÏV=8&+^õ4öiÛǬŸž‹òÞä}iô ž£¸ªò©ãzU—v¾åÔŽÖ}C´ï}A>Ly_Çýï…wàþÉñŽÛyxj~^Á²NÊÃ_=¯}‘_¯<Éh·xîhïëxê¿‹ßÀ·È»"çCƒ„÷Ñžù"yRçK“¤Ÿ7”~.ÿú\pn¬çÃS?ºê»yürÌC=wö‡þ.û°­×ÄÁcKGû 1¨ž€¾>PüãüAå5èÏè7<ùÈv¦:Ìrßù×ÓçR\ñ S?¹Úg²oùëâ=?¼ºoè¼à¡íËuç;È+°î¾ŸîOóóÅkŸØçð|æÅíá×\/Dí¹>ç_NùSío‡I¿?c¿ çxñ¦º¾õNøZùâ°1®çÔ»TK’~PØȯ?¼i©ßªÿõ|EòWc^…ÓWuó”ƒ1¿«¼4z[xâþ¹~J<§y"NxH¿NíþÊN8oàsݯƒÿ#žëL\¸å:¬pÕñÅ¢a>–8€ùü¬òi§qÚ_ oê9 <»ü0øA|2üY½Ïê”ÿ•¬<ù7âwŽ³½Û€!Ÿ¥ç†.çƒ+ÅN׳úÉ~‰”W)ÿ¾ÐÖó´þSz²Üg?ôå?¡à0þvÌ÷3êèõ¾1/Oç7éKÜQþ…<ó©^¬ï+6»Ïó¿Ê—$ÜÐþÐÒ?æõ×W`†ŸeŸócòU¬ÇÀMx'yê§qÖ“ÿJóQ÷MK?ŒŸu?'ù*p|\çÍ1;>Æýçé{óŧCoŽ¼Õ#Ïœ¤ÛAîÎ;ØNéÏiØÅ#Ä7¤¥_ê>åÓ|äÕsÏ„kº/¨î»¬8Oy2®·ð.êŽ{ƺ¦ùüs‘ßzÏç¿WõÆà_IüD¿‘ì{ñ÷È£qžãÆ›Jìz‘Cÿˆ+“dølœ_ø~×Þ"5O®s0Žx^hÇú•Ú·Lç^äÏIr>z½àô8ÎóXó®~0ïIÏ,¹îι.ý8*9ßã±þØß•¬?Ÿwã°rý-=ë—$í¹¿üÓú‚ý>ü ÉqàÃQéó“ž/83âŽëÊ£zõ•üJÞDb׉Ïb‡è%v~“çL|ÂþÏœïóŒÛ;|p»;?¾oùýïßßÍ×;ŠËGqòð2ÌçMeòëöo)~`ŽÆ—¿»>úè¼ûM¥û»ð°—dw%“ÇŸîâR×5ÜþuãˆKyÐN&»=jÏé¼£çﮟ~/¿’·#áæy ÿ|;@Ÿñ‡æ™Ø çsdñêÄ+%ÝO$×ñxŠËþÌ/Óq–©Ý£ù„KqçÒßS?ïZ¿^µ¬¸A~ªðÃuðqüQœ×ý=øïþø{ãzñÀѯßÛz‚æ#©îS™x üõ¨,ÿl¾ />hÇוî‡ócõû5ù-ú¶äY¾q>ŸÏº^7ŸÊùžÏ¿û ±¿»Ê÷V7ì{vü•ôìRœ·4Ž¤ëÜ´ýTçpÞ¨ÖmÌ×Oúá|lŒ7µþ ?œ¼m;ûJ~%oS.¼|BÐox+~2å™mœ÷²ýwáÍÁúÒ~b‰ƒ…3•WS<®k|tþjÇ›^–ô<0ã.ëšêRÌ~žqÑç'Þ‚Œþü`ñÒº~[ù¸¯äË•Éþ­õ»ê·ÎÇÜv]»ìi|¾´^”~G_Ë>GûŒ£ìqØKÊãs~³£¼Èöÿ•ÜÙ»óÍ•wÖ>¯Ô直þrëþùñ³ÄŸ¿4þxC;ÝõÿRýýJ~%¿ÌÒ¸¶ðÌNø¿“ißiúœòÊþ}wþ¥Çíúe¾•øÉ[?ðÑ?¦y–¿¡Ý%*x´®îö^öqGÛIǧó/m÷º2õç¦ã²ô}KèOñ„ íÎÒþö+þ#Oükâ×äS*_>ÎwÜœöɸŸÞ'¼óÓ‰_ïðŒñ3>Îãû/«d~]W¡^†ôï;ù²öSíä·þ0¬ñ};è’ïiÏàíÓß=Õíçžë3íÂk9Þu[_I{w5ϯZ2?ä©’d~—ï…;è¿×Éñ“ßÅᯊÿïš¾liÿò²ü38·Äõà¼UûÑ£ñ"þìR;8ÚþWòË)—u´¾ï/ìöך÷ìö}%ÿL¤üy]ûÁ$íáÓ•§úÉõŽÆÿ;Nz£çØq2xÍïK]ã ô>ô¯V|Ðy¿kîs¤}øýZüA˜ŸëúYïR~ŸòÚŽ3,oê¯ïZš§bðƒŠ›eŽkwöèøÉ÷i~lÇIîŽãzÎ3¤|Ó?þÁÿòÎâÛÂá¡ë1/;ôªòK_É?o ÞàÑï]Üz©´ŸÆÚR~ŽÏÆŸò‹›:°íÞùÄÊÓ ¼}UÒõ×¹«®|MžðÇ.æW‘λí¤çÙ~Yz¢õ²¿FÚß.¼kÃÇw’þ§üŸåu÷íÚKíïÎ?*½ßYqŠìÅöïu©üÍ_œæs¯+Í«JãPÕ×Âx’Ç+¾Ù\×öBÕq±Ëî®Çq_œ–y›ã8·“âb~R|C¿ÿš¯¥ëù{Þ=Ÿv7ŽLõð]»æ¡GÏK¿»½]û¥û<Öý¸.¤çËKß.”΋,üxYy Îwýà¦ùïšíg¬ÏCÉ—<¸ÿû¶d­Çèo­³Ö—y´]îô¾p0ä7œG÷un]*sÕ¯€K}9àK’Ö'®¿ðçõ¾’_É[ö׶_ä¥økž‘x·ý=xáû†îJzÜé8xóú7ÿé'ûH®+©¤ïí¿¾õ‡éÿ÷/=OÀzýøÞ ÙOà¸+Åo:Žó¹ŽýÉ—M&?‚Þx~ê{=§‚óªþ­ý#iÿÀQ¹‹øÇùŠâ3_/Ù]òÅt¼ãg¿\G{4®ñ;vº“7Åqó§K¯y¾¥ëø8ë¿í¤ô/ð$¯ŸãÎß$´Ø+uGø¦üžíÀý1Lr±;ÇÉÚ ýL~ØúzݸéU:îFÞŠ÷¼*¿i{¸ë¼ÿ—U¢çu_òÁ¬Ÿ?'‰µ/ìÜö¿àòhð"$ÇÝõ|Þ¶|¼ãȤã¯ÿ¹ëýuÇŸ(?x¿'Ü·!9œÄo½öõc<‰½íørÛÞ8ÏþÔþþRÞd>b¹®_^xlà[ÈÄ3cÿ—ÑÛ–®—•ßüØ’¼ÊÓßœö‰À˜WŽóy‰7ݵÄoìêmŒ³òʋ»‘—êƒçÇùUÛ…¿¯qh}Ž¿ùžãïZÚï¤ãuóëôûQY÷8¯O¼ɺ.õåŒ^dñçõ®ÉƒiÏßÓ¿¤§Ö#Køº?§ïwë|ô|Nõ¢do7•»<Ç—]¢÷µBqÏëî·°ŸOñQÊ#:ÏóÒøþ"ü¾Ë{úø„;wí¿’_É? Ϫï¯é‘ðϾp+ì§{Yò(ßs]妲øíh—ù|U2é‰ñ`§Ìã.~r>ãRYvJœêZHÛÝ.Ÿa™âž¤Ï;ûK»¾í¸žåü×5ß»¸ÿáºßúÃô¯õ{xaúžóÑOÖÏæ©5®Ý~”¯äWò+ëõ)Oý%Y~^y»XŸÿè÷–þÝõÉÝù–[~|ažâ¶ìØ<.ÅGóŸþ Q&ÜM|üh½&å9_•¤¿×“®+gð¼ù8~ÇŽ÷×ú;4¾%¾’â°Û’—êÅMåm÷ÿË:~Ö÷éﵡ©g€S®#§~ùûÅoûá³õ)Ú›Žã|úÏgûQç±—üÈð×—ô=}oü¼”ïÿ¹Õ!_¶ôszñ_Σ§è—ó^ÆÉÛ–ÖïŠ7‚_Þñ¥Keñ:ÕÓóªñÙy ]|äqrÞò™ð}z3í:ïX¼™ó4ß;>æ8;­gƒÔO×Gq»òqÒcÇï—êŸw¸é~à/œ?ô~ɻƇ£ò-å³ _¤_Œ·ôIzq[uˆ[«gŒþsßʧXç—…ƒ_ÉËd²Ëò+ø éóR_zOÜà<†ó»}k—ÊWÍï¿’_É»ˆ'ÓïØ]Ê¿™wù<óÛ{áˆø{¾kÿtTú=´–àŸ·yÏ? ^r[øìçÿíö½Ðå½yêç‹/ÍI˜óÆŸÜ–¼k^·“¯}ý‹x&Å—ÊëÎÓmç Íøì}Cqß7qŽô²ìkü¾ÛõŽÎs¼Qû,F;ÉÎvxº{Âú›ïÇ}R›üùuåÑxm']ÏEŽJ·“¤õÏóg=GÒ{9YÏá¢â±»Â úá~_·ÞF|†´?·¾ÿ㨷Xï‘Gy‹ùFúìïwííÚÝwôü£ßïÚ½tÜ»ñ$¿›Úá8ì ޲䟇]¼¥}–—懾’_É›Hâ‹âḣühñÇ×ô¯Ø¼™êSGå·†}Þ–¤¿ŒÛøc|?š¿e>w—®o ®^ñ=<ò ø²ÊEoÄS\—¤×ѼéõužÎyƒK÷A¹_œŸìç¤Hïƒá8dÅ›!.ð|§ã^–dæ]|＃çÑííê@7•K^Xü—u¬ûW¶ËyéwÛyºß˼¼æùӼ̥üÚñª³ýðC;žfq”×ÞVÞà+ù'"Ég„ºz’)ƒžO ×ï?ê¾,2Ã?³Øá˜â¡ÿ´,þµÁ'øb‡å9‘ª-ù5ñH>»]ô‚ãžþ^ÜÂó‚|_¦OþÏ¿OËÂçÇyÌŸå.¾ð®1Oæ+ö \×ýLöF>…vwyÉ…ïy]ézý/þ¯¼÷§•ŸßØC矫Üퟶý&>x¸?3‰_Ãn­ß•ß?È-í'ŽòºÄ‡g¿)Ÿu<ͼõƒQŠ0®Kñu'æ•wyNxú¥|áR~Æü^÷÷K¯sÛ×ï½̇w¾Àúlû°ß<"ñ6Ž»”Ï%y]»O2é18düa_ ùDå-Tç6ß1¾;ïøªd]ðÏÿ2ôb9nŒãp»·¼>_ÉÛ•¶ß]ßuÝò{¡„Ç/›/Ð/ìür<°óÃØçò\™[Þÿ’æÛxããÌSw]ïƒGîÚ»kÞýÇ&¯›ï¸©t^ûµ¿¿5\Á‡^Õ~Ä0/\¿úñ’ñá+ùåÎ#_W^Â|¯ò2âæ_I/wõ¬ëæsïJ~kø7$ãü›‘Ÿzúû¯ÇÇùÌqð¼£ñ˜ÏCò=×1ïãw_ßß'=á:´Çñ)?Xuúq>ý¯ëŒvʯ ÜÙåÜïÛ–é¾ú£zÏ9z¼ãAÎ/ž&û³]ñ}íç;X7¿+?øª$zçñšG:îÞå?v=^ö)HÉ£X¦ºõ0Ù)q0×=Š+\/åEŽúóÚ›ú§?Uù¦Ö©ê`CŒ?–® 'œÏþ‚_¦xóèóÆkåÿéýs¾';vûèg´ÓÀ÷“·Æ³ÿH¥÷—߯ò~¦ëîSw}oÑÙGÅ×7ä…Œ >dÿûƒÁS…ß»¨:ì&a¿Ãøn»žÄu®Ûîm÷ÇvÉø½k¹¯àÂë¤xõ®âØ£×5^/RzôÖàõæ#å¯Ú½ëÐæ¥GÂÙ£ûV-ò&ËTg¸n{—^çºò®ó[/K2>ç±Ò{F.Õ“$/Øý~TÞV?ÿTä?ýÁ þ»úì<Ímñä¯#ïÄ^/x¹«CºŽøƒÑŸá 扉W~Y¥ãÅT‡¾­}ø3æyôqö‹|®}™ŠGák×í⤯äõdùIéU’wÏ,òšüÍû.åu7•äMY‡§ƒ÷qý˜§½ëù¾P²oýr> pmè!ó‘ôÏñ–Ï_dø}á¯â5HÏ?þ¨üˆên/[o¾’_Éúó9Ý_€^íž/ó²d=g,Ô.åŒ7úýa×æíŽ+}ÿÐ[æºoc‡3~Žè]ãÞ©Œù´ÿõgÖ±ž¦úì÷Åsisüïx‡·Gyýuã¼$?7ŸÄÓø<ωï°>wŸ½*i½HúP|]qõ¬ÛÞÇ|]‰¾£èï’W qzb½~Õþ¥â¦Ôa‡Þàûœv<ÙvpÅÒñÃO€oÂçtÜMåµÛ/Mx—üM¬è{óÊt>ëüV8éûŠ9þ®ò~ÿË—Íï*Ï9â®Ûâ[É"ñã—úÏTŸKÇ»î²ó;~JÿoÛnÍKñãèþ¸ð|è»å¶NòKê²ò ÃN¯[︔W˜¿Áïñ;Ø×;úå`Ï®o#á%ïˆ?îô»xà8?ùï/HýÞéí]ÉÊÃ_S¿Tw´ûŽÖ‰yb½™ß/šùo_¹¿ò>>ﳡ¿~®Š%ú⸸öåÜîê±þ=í?LÇïä®ëÖ‹¿’—Iûqï- xe¼+2ÖÏŸ_;þ.=ØøŸ…ß*¾\Ž—¿ùÆW~KþÇy ø÷]óÜK¥õ%Å%wÝÏ?é}Ë/;_r)%?µÜ?/½)~0ìÕy¶Å®•?ç:Ë{១]½“ví·Ê]übyÛñÑŸšdýR½ÍÒóŠüd´óãÑþÌëÏõR^VœXùûƒ¼~^]Êo«=êÕ;ù­Á·ÓïÔÅù̺\7¿U8üÛMñܲžÑï áXÄQñ”òÓã|ë/Ÿ9ßëÃ>/ÚqþÉׯx5íG |Ðv”ò Iú¹Ž»ãw÷W™Ÿy^‡òÙ2éòí‘w_ôO¸íß=Ow_ĸÃq¿ú[ø˜x:y#ôùös@¶vô&í‡ßýnIRÞ?]÷UËÝ8^–|K뉟ÞIãñí´^íúå}`_6Yã~{_ÇNîöÛîλ´}ÿî~W<1ÆU~^qÂÛÂu$í«î$|fþùxÅþäèü;Ÿòe‘GyŸ“ôqŒ÷éÀmÖÏ—âË×B=ûµ¯‘/Fz=ý;íÔzÝÒ¼yR­7ñ¯âwó#ÛÅ._Åüúxãjâ¿où°ò½Ïc½¼¿q9_<·põKRÿ:*é7|™ï™‡Kãð´ŽKœ$üÓ¸žUÞDñçU¾EuÀ—%™p½¸k|»kéü×¥²ü¢ìÞüÛñ,özÔ?-ùóѼ;Ý÷_|eè¡qÇxg»3ß±½¬¸ÆyÃ?U‰=‚ àýѸϸDã8Ùúâ|ëÎy¯:þIõ!úmÞhœ;Šÿ/KÒOïïYðXù&ïÃHí›—_*wzE~^ƺ˜§ÁwÒñâ§þÏŒÛüåh>ÓóUë#é÷’Ú?›§ñ™uþ±ÆyÝõÙú£Ñ¿Ä?Œ»â0Í'ø Ÿ²žÕ~Aÿºü£üŒüîQy×vý§&áŽ*o!|*Þª}?0¿ùBÉÝy—JòÆèyºÿçbù’êOI¦ù*é<‹òf¬S‰$òÒ»’—ŽçeËâ]AÖqÂãÄ °Ž§ÑgdåÇú§¼ŸŸä8¨îí`?eGŠ+èoÂkúÍù»øi'Ö©Þòuôý¥<é¦~|'—õëáy7Ÿd^¬/;~‡^§¤ýíGy¼îh¾Ò2µó²¥¯—æa'_¶?÷þžÒ#ñ`ìßýKùì†vÌ‹ïÚ•?zo™Ž¯yžÜ”ÿ.~v“ŸbÞ‘ _ûÆi^™ë^¼wÀ™/[ݳôÿ¥}eæ?æ¡žçA’¿ZøTÈ3ØÿÞ”¯–Vç®êRÎûÙŸF~?~÷ý,æ=>/}ïó= ÿ?®¼Ê8ßvG{Gyë~?0/3~V¼4úYþÿKR_yÙ²ò‰Ê+c§—úSãÇ‚{Ê“,<Òú,ÿiÞXëÞ¯¥göËà¶ãhÎ7O®ùAŸ~ý©Ê£|õàsÚ?o{:ìô¨Üµ÷Ú×û:·q€~¾6ò§–w=ßוŒ×úÎxùœòKü&;‹ñÝ°—£qËuùÚQéñ*®ß»Nÿ~ï`|»ñ“c}Ü¿Äk-=œçý®3Ú_:ÏhÿËùä7˜/Fš¿–ÿ¼ÞAž¾®Æ™òâÉþ¯+¯Û®ñä¦ç#ë~Þ¡—é¸W-o{ÞÿÔ$v„~{=ß¿?%’2-žöŠâ<Çã‹¿ù­»–©>âïÍS‡|Y$ý¿iÞÉñ•ßå;œLy¬Kó•…'òIÂûàe;;\øâh>O¤žžx¥ù,Çýça'—ÊÄ3_–Ló“Ž7Oð÷;éu#.²LùÍ·Æüúó‚=[¯—úÎ…|t'oÞ–tþÐ<ªò¼Ô†ýÜVüoÞùÎГÂâƒTGw‰›¿qš73.›_Ý'ÿ²äŽ·Í?ݶôõ±_çK’{^Ó~gô¯®»‰?’$.¨ø`ô#µë¼±ýzŸâ{ôvç7ìçÍg‹_‡|Â;øùãsÍ ó |YÍ‹ò0î¯ù’íÇxÏqiÝŽòä£üûË"ÑŸÒ÷ ¯9Z¯xÕxYù9pBýþñ°dêwåïBürS¹Ü§ð%•ÅÆgæ;?˜7Ûnk'þšäËÂ1ðf‰K„/›—:î/üT]Îøç|Ë]ãÉWrßõ~LdÚÏÇzƒ[‰Ïo.^š'³½`ÏåïÇgpá'#.ñ~㊫áð¥áG_Oùs—àˆ×ÓûA­gÏ:O¾“yCù‡àŸoK¦ú«ã[ÆMœn¿p[ò®ñæ¦òµ¯ŸÖýK’çÔçeüʯ$™ð‡u9Zæø$íG ·È Ú¿¼ã¹àø†½9ïbÞÝç†L÷ÏÝ•düžß_»˜wjgôcw]ø;üÔ²ò ÒâR$ë‹ßåsù¿ ñ‚óø¼Äòç>ÿâÑƱªï;¾cþ”?ñ>gŸ—òp_É/·tã<Ëâ/‡¾ÁïÐKãæuãšÂŃ÷¼ì8+ÉÄ«}öaûOùÊ£uiÖ«ò¯§ÿ!¸‘ðM~Ëó‹?²~TÜ«üäF=—~ýxô£ŽÿÆiýÎã·>îê>>ò:­Sò·©Gý—ó«Gë6KÞçày;IÝxýTq`Êc³Þ|¾íüÖ­çËÂ<8ogý´¬ø3àà›Ö/å]¿* c½óxÒ{å ‡·hŠˆ¯¸N¸Äßð¸ƒzÆ8?´cyé~öÔNɱ^Œ‡Ï‰×/ü]ùEÛK§ë.|\¼Ê8ÊgóCó¯âaÒCçG¿’w+­ñ8íÓ8*±×ÂÅ!èÑ?„ý!K¼:$v{×óygë8æ¥ò‘Êó0?‰OxþÍKn*éÇîyGãË»’·=/—J?wß¼œã~Èñ×¼Ÿ¼Æ/šoîðþÒºíâÐ׺þhÿí°.G÷5˜Ÿ8Îñ|?¸ˆ\â#µsôwÆû£ÏŒswœåM÷˜g¥û‘é߃떵¾à¼ðÇúðG'5~ø8¿ó=z½‹_o*Ý.~Á|n'‰‹«Ý±nÇ%<ñ~Ýí~.ù‡òcâÍÅ7ÔOäÛ#_ïç–{_RÅAÊË:^@O,{£_Îk_o©¼s?våãX?ÆÅïö 5oŒ_ú–â‹ëJ÷ÿ¦íÁgøÌ|TžFëUyð9Ϻj»¸‘ußWë5ô×ûÑÓ~­h×Òçaü¹î×?XWòý†GíÓy…½Öïèõè§óo;L2ÅÕµ[ü%´ç}ÖwàCð£Ñü&zøù{•ÿvú]ù?vÉx˜Â£¤OúžyFÿÙ‡á¸f©G£Ô_·?´4Ï2Ÿ#ù­á'ùœ¾çókc~üÙç[ú8çýn*YòòØõºÂ§ ž-ëöwUÜ3®·Ë{ý¹Køúé<­õþÆúsÌ»ë§K}‚<Îзݺ¤|Oâ­–Åç†ÝÿX¼ ÉïÉ/^W–ßVy,žvËûœçBo¶[¾7¯òï·/[&þÞµ=¾l;·Lñ¹ãwóœ”?H}¿ôM÷ó¦Ò8d>ù²¥ù^âŸOÇ|€OðH$Ç-x¶¹þmÍãî>éÊ ½-uüºÞ“b}²¿ñý´1ÞI|j#w÷ƒ[þ0ð8çiÀæÃûêŒËÆã)ø¸Ü¢ëÚNS]vп§:?Í×ÇA:ïWýŸü‘ò©‹ÔþãHñK练dýK¯ÅO—ýf²«»ž×ëÆ®ë•_Rx‰cœçëVñø;øPû@4õ<;á–õÂqÇç<ðß‹ç-|OëÌy´gþk;¶Ÿ>*}Þ®×#+nãa=ÿIññÄù¢£uîK/);}U2Ö»‚>¡w5?ã¸âE·g¾O?–øeS?Òõ¸ÑŸ4~×3n[rô{í§S}Ï–à|›yƒ'9Îÿx¢óã¬ó‹;>¶=Ž¸{ÄÑŽKvqm’äG}_84æË<”ó*ÿ$>³«þ@ø†ž1ÞŠ‡ˆ{RœöÍÓ}} *N”ÜÅOÆEçG ÿ]®.Ïm—?øá8éxs·®ñ:C2¯Žó 7òÿTg5.x}‡ZOlו/ĪnëušO®_ן‹íð0IæWù/ï?½t~w2Ö…ß±Næ«øë;ô®æIõXü¿q°ü˜üß»=¾÷ó[Wf+î ¼.ù=ç5Ê^¥—ÖsûkúA^Èûű³êŸúq)¿Øéy=ïEùœWÍ÷Ÿ¬xL¸[®Oû·½ŸàÖ÷'Øï}!®ú±â ã†q7­¿ã˜Äߎ⽟{n>`ü¨ëŽÏK\(Éz?Ÿ-Íÿ$OXÇ }æ{ò‘H¿\¾1Ú÷ùÅ Çï©Ÿþi~iézüQÉyðD÷ÛÇ¥ß/O’œw©(ýzÀgççÌ¿Œ_…cÒ»ô}âwµ_xØúáãð—þžvSœ†Lý9*“-íª_Æ#ç=|ó çÅëz).ßÄé•ïr|®Ïð)dŠ—nÞyÞpÇ+Ÿ%>pPþˆyÅF»Ìóžò•ÿQüXvÉõÆ:Ñ^ùõ ·Þg纥ãhç—ºßhwù,Ϫ¸rôßëRv¢ù¬~Žùt>Ô8¥í@øV~Ô~=È£ù&ÚýiòÓ²KâæËû)Œøø¥yߧ}FÎ[Ó®×ßxäx©ð>àïCç‘ð3ǹοƒã?T¾ÒñÍM%ó“öAÙ¾é/ó_ö‚=?r]ܪuýósD½•_ð+ðTæÕùSð û¬¸Gzyy6Ö}÷}åŸd§G¥÷ Þô|xyMKÛ ’óø /þ²Ë4/ÎCݯri>ìºùýëJã ùîò½ù˜~_pq|ö>À²gû?Õ5ËvzòBèÚÞ².¡.myt>“^6òbŒ\"¾õüoçá†<îeÉm^EñŒõ½ô$œ¿Ô©U—Jyi®“âÕ$#^a×Q?Ä‹<¬·ýç{“t_aÉqúSö.?ïúGáVàç¬Wå]6vžðo—}[ýðý¡Îë0Þ§Yz¡¸åEG–ø@qЂ_¿lƒã¯”ïÀwúÂz¼ú_ë4ú¿ðK¥ë-üNuBò ôsɯ W7-8‘â˜$eÇ‹Ÿ>(Á»ÛâƒOÇøÈ'Àû¾l2ÕÙ ·œŸò|ÏÿÜ•ý ÷ñHüDZ^Þ—³è¿ægÑcÙçQ¾•ö•!§I×ÝJ®'ÿe¾•âØôœFãªýÑ÷Ü_ù-ì"ö{ÃÜ×x< øŸö;ØŸ&|G·Í£ÐC󸚷a_G;¾:Í¿;ÞöþâToõñæmK¾›þ‹—¤<®óØ‹Þ3_ñ}ûÃ8¨æÙüØv®qxÒ}X¬ó®®Zõ•¡Ÿ¶Ï£ãÁÎÜîö|ô2ðãÔuåÑöýýá?Òû±„‘çx„xô²OS¸Á<×õ¾íøÌÎû™¯rœŸ{d¼³ž¦û[‘)OsÛr±£`Wµ¾Ì¯ð‰¸ÍûÈwú·ÛWp´úíúÀ«æs·.‡Þ-Ÿƒ4N¾™H±Kûã•ë¬UWýKþ0Õƒ¯³^l÷õ¹Žf;óu…;¶‹T\e{/áþ;Þ<š‡ |‰|ÛÑúà•/Úù½¥Î»ñOÄÝË~þÐ.ëç85Îë†_§ßòsp|wŸ«¯ù~ÏþÌö³ð„£ñô&ŸýÊ&ž÷ñ?V¨êíýbñBÍO<>ØùNŸ_•ô> ó%wÞFx€¢ïw±ü¾ù€í/Ø?ëÈgïOvjÙ—ò‰ß•å‡•¼4¿ù±úWÏ'ÇB\¹ü.þPë«8ÌÇ¡÷ŒþC¿Ënò}þÝö»«﮳èSøœøAÊ›xþ¿ç;ݯpWyªdÿ΢ç2îÿ:Ì×Æïßóu´Ý×G]îR¹;ÿéXß×Ƹùìüƒ÷ƒ7éómI·»Ãó7ƒÂ^¶vc)ý-¿7~7¿Yx…ó·åuÏû²´ëÒ¼yØ÷?ƒïæa©~âö*žXêyýŸªdÞ+Pqm|~p©7løGÌï9¥þo}O<.Å é>Ü­t¾‹8IÏ«[pJúëqåsl’ù(žxtä1?œÇ+\!¿ò(Η-çY¼[ߧøÇ÷–1¿».^ª~•âÉÈõ½ãZçs™¯²‡`Ÿ¾ßÃG¨ã:öºö‡#_ç#á ð«oþ,|j´‡„7<ýCr>Ÿ¹îŽç}!þbùžöôþe »qÑüô d=°óJ×ãóäJóXÖ…ùr¿Ïü[,Ó¼á/Ð3Ö™®ïuµäw®ûŸ‡]{ý_‘¼k?qX;þÉX§]}ÁïÏøù8oÁW⃿>Í[Æ~…8ç×ð`ûÃ(Úg?Æõ†Þ:>ZòWa=Þzd¹72ÖÛœG þÇõ?ÆyËtÿýNïüÜøò«Š[½×æIŽ~q ?èþ,Ï9v>Sùª_Åùñ|ÂÔ?ó3Ïϲÿ‚ø|¬#ׯ}gÖ3ÍOÚ¿Êñγàþ-÷£i^œWÀ¾vëùe“~ÏrÙâøÅÏØŸ4ìÓû *Ž>*m‡Ì?zo¼OñƲ¯—8Qva|ßÖ3ïH&=¬u“_Zpy#K/<Ïý!Üæë.½Î-ÉOR½ˆùPþ=BÂSˆSà[ðÌâÁÄ3Ž£6qÏu%ý¸­öþfØ’q7–yÄo„ù½Xšç„ã~°éÏ⟤×üþwÝçÁÁÇÈ‹6ü¨ž ®^˜Ÿ[ú-¿³äI6Òãƒ,|+ÕÍúÝy ó¼Âu×EG;…/‘wÑ¿À½?ýõqì#ðó£ð ‡­/©?)ÞXx­çy³`yÿü&ŽˆúôÊëŸoüãOw|~ÇãÑ×ßÝŽýä¥Ï¥3?ý€ûZ<ÞkÊ£í$»Iv¸Ã£šßï,ëo½2Í­{ÀÒoë/¿[¯ÔÞÿnöM½l™øíÂ×^‘¬:„ìôU÷ã•É€‡×•‰o\ÜÞ8}Ny¾ù–ùØkãº×•»ç’^WÒ_ø¯eÊ»úù„øùÄ;ˆ¿l>ºYKö‡û}P‹Ÿ¸g½à9Ž_—¼Ä-éeùO󈀻…ó!žYΟÙ?¦:ãqܼøuÙ ç¥ý’ñùãw×O²‰|$ð’mXŸwÏ©[¤òOÖ·â÷›ü7ã©<šxká“óöSÎ J¢~|%¿Z×7µ¾‘]ªwÊc,÷‡)Sz¢|ÆN/Ñ'ðµxT¿í­¤y3úy0Ž¢å>ž!É#ÇÏ]ÿ±Èwƒ½.ùz× ^2ïBÊ¿Žz,ý‹qJXÿ¥n¤ó ß3Þ¼›ýRŠ|þGé¼gh7É?$<ü`Å[!nK¼ë¨4ÏsÞòË&·¼)ÔWÉO!7+>“ê³$òÃPçHõç¯VNöZ|qè§ß;ê|…ï§G2ߎ[G¾…:3ùÕG°ÞéýÉÉüXyÁ¥~òX N¿TuÑÑ/üYá˜ë¤âëKüï<„®c>˜êÜÆY_Ïóa>Q¼B¼'ßry¡ðÞqAÅÖkç¯=¾ Wü^ùìKý—TZïZô)Ä݇ýüWò"éº{ÂÅþ†´Ÿ3¾.ú ¸~‰GÈ?˜xŒë ø‰¿ûëÓú“dz‹“ÜoÆy×~7JÅëž·4ïÇ‘·$Þ5æûRùtôwÜMùëMÛ»î+¿ Þ³«?mëŠ!Ÿx©]û9F·%—|¸ãí¯Ÿæ·Ë=XüŒì‚ø²ð/ø¯ò£_Þ?Qú"½«÷ †çXúziÒþÝKë;ɸÞÕ¼Ù®S¥>¬—ù~—ÅŸ§<šæ©ìÑü[ã(}ëôLýXøû#}5^9¾,~±™%®ÓçÒoÅMK?íïG?ßs<•ÖñK"—|ÛgÍ÷.ÏüG*/Wã5_©>­<£ë…õÞáXÒÇ…7ªKþónÉ8.àz|†?˜§½6ú÷tôç¨üÖðo œ¼ô|$õp¤Ÿ{„ܵS?äí×—øÎó#~±ø¥»–GíbôîúÕ’§ô<¥xPëDþÆù°%¹ÓÖÁuõ¯Ú ñ=û:¼žä£?¾-~Pýؽ_jÉ_Ûž”¯$ÿpsñƒŠ£èß´o…¸ÿ˜ò«é>›ÈûY×Ä÷®+5nôü¶K÷qÕüŒùØí·Oúï÷£ü\yIûÅeÝ[Á¾èGå.œ7× Ÿ|]×¼XíÚþß“ýÚþ˜üjÅ;Gy×ßWy|Õeð¿é~ǥ΃ýÊnc<ù’%×wSÏHxòe“ž_óÊäŸý¼í­`½_–ÝåK‡„gíäë—ùLþ!å ¿¬rÙ·cŒ ~Ïzíø9Žé=„GëÇ·%ãý„ß8Í/¼j™ê¦æUgKq¡æu›G’ºëh˜ôÆùósúï:’÷cyõjx¤âjçkœ_ÀŸ"á“˼ZOF{æ™Æ½XŸN.þLua®—ž{èûówû²Ø@ûÆÙ?#ÎHùÜ„ýÄó-;ÿ~²éª§ïxÕQö§"ÑóÝsÉ=¯eWCOX¿â²ë¤7K|¡~9Î\x‡ïáëÎoÑÎÑ|£¿7nlõúè¼;®¼á:ï–ºÜ+âq¿}Èo[Þô÷£Òϳ$O¸ä/Â|&<ñqËóÉdOØË]ó»W-ç©ç®7ǧ¸Ñí$¿îx0É£vl>Ã:~ ûsŒGÆÛ¿yíÚù’K÷Ÿ&;¨}Ú_|}v~n´ƒÿùÄt]Ö=ÔKÝÞÿñ ²Ì+×/Âù!ßëõ@ÏbÓ+9~/}³ßóúï©ë”^ ™ò°¶3Ö<©õý÷~³Ý¼¥| ŸñßS¿jÿžöaF?øù ÆÁüþ£ð~Ñ÷Ý|%¯%K¯7q¡ñÅöTþ•v¤WöÇÏ8^qú~ƒì[¸x_v o¿!_|ÙòÕnº¾wÍï®+ÁŸKÏ{UvcÜãyØú»ð8åa®+.þ³ðÐ Ós£ðý?ÛÅA›zØ»âO–ÆÏÇ;cý‘œçzD¬o†ã˜×1Ü¿w¤ŒûG ?ü/|5ðóÛÂÉqçßvÒÏË·_öÕŒõwÔ|>ñ)û…ÊGÏøý´î¥gòG?öàþ,û—T|¦þ,qÁÎ?§ã’ÜÙ¥ãÿκz~±›Ã¼Höíú±¯çþ/û'à£A¯—ï]ãe_’}§ïmòq´Ëyô=ù¡÷ îø |½ó¸ì¿ ó›â´/›d¾~"?fé8’ãÁGÏ’èÛî¸kË€—öSµGãZò!ô§.±óëò¹ïŽy{mÌ3ò±.äsþV÷ÃðýëÃ/О³|m¬3û'ùž}›Gåò\»POs\Tq¹êvå?Uï¶}Y‘¯<@²çïøwâ½qýzŽá]Û©¤ý|ÊO¦u¹®ü‘Ö{Wc^ÒóͨK9Nö{ê’ÜîÓý’HÖ©öwÿåé{ÿÐÓ:μfð?ç¿Éõ4Ïæ1¶3ç9ObÞÿ¾¨ãß•¿à÷Ÿ’Çß#+o¡üä;:>ÍëOÅ[¹žÏKûÍ·<ÇK•wLùè!Á­â‡jþîõóóÓj28æ¼³½Â7ܽµø{¸Þ‚çÌ›âŠÃñUÈK¸%¦|ý‚ù&óRq¸a^ú’eù5ã× Û}/è¥÷8â)ã2Òú›ö×.ë<ôØr±skYOá]É£qÝŒ³ò*ÂËê§ù|8åuu]磽—_—O¾r9Öóé'üïë÷1/ìóä3òRþùÇ.oËþ¯+Í#mwå6yyx û´kß¡í@Ù%Ž7Ž:/ü½ï¡}ôÉùÆ8?âOž_Ç›wž'Òx’€/Oóo+>=øÂ?Ê3Îß⇑ÞwXù»ñ;vû>yH­“%ëòO›}Ò…#Šïá£Î‡YVsä7*ÿ6>—Tÿ–÷ÍŒqúùÕÏ _äE?ü½ö-ö*¹ìç±¾æ¡Å÷Å{Ó}‰Ç`ãºÅû/ŒW+œxT˜¯74þ»ªß³þÆ)Ûý.|B•G_æ[z’òâË}C¦øwÑ#ÍkâÙeŠoY×”ï_êŽÂç¸Ïó Ðû´^e§àÿ ×ÿUó9xîë#¿…¼n~éöÈûr=Ž{UuýÝgóJß—ˆ>»n¼HãhÈ'W^PvzX:¯éüÁ‡Ÿ³I<\~~˜âAìGóÃçâ7Ìñâ&>5/*Üã:!Î7ïâsʫܶäzËó ç;ŽgžÁ9ñäÝ}û»z°7¯ªùU¾Í8äxúéç$‘—2_XÖ9ì;^öA+?C?Ùc½u½Åyâe?[hŸuLû¤ï¢é9̯ý×[ž[«xm‘ã|Æm½({Ÿ¿'?vÝø€|²®#¿HM¾KÿÑúûý¶—ò¿Û’ÖÏZWáRÙ?ûµBÝv+ØÄéÄK·„ãÑ+ï—YôGëXó,;]òÒÆuÛþrÙ¿bkÿzG’þ¼ìÒ÷óØ_×s¶\Å oØOn1?ØÇRGÆž…ë7}~Ák£ßOÇç”e^¾ýNŸ[oû[Õã_ãJíV¾tÌÒí\*éùd­Ç-ãBÊçÛNÐß¿ÌçŠÓÄ‹R¾-Ýßž¸îŸøh²CòècÚ—åü˜õÔûŒc…#ä7®–ÿëæ÷)]w_xâE‘ï Ç µ¾Å®,ŸáZ/×O­'ÎC?¿ÿ|Ì ²âî°^ŒçŸt¼õõeËòð€æÓiž« /¯ySž—ý÷Išç.üýëÉ|:¹Ýïì|«xÛ¢âæ •7‘Ÿò8vÏ·(=‚OŒßßÛÌ·ÛÛñ–ÈgF‘Ìgñü±N?“5ß-»">wÞOùhâ—å>;ãI^ךoø#qðå]Ùgªg”þk]^ºT<âþTÜg½ëùSâ ôp¬í®ŽïÿI¸O»uŸžpÓù ûó[â’g¯ãZòäŽëï¨N³ì —ô¾{÷w›×Ðñ¶KæÛ|ËòµÑ^â‹oŽö‹?ŽöJø,yE®{q~r\žjIûÆñâ+ªƒùþ`óÀ”°]ììÐñ¤ë°®?Ý•ô8+^ÞüHó̼}àûàÇ|¸åõYò:>ñ”t¾Û_êää‡ßq|µ?ÎKï·~¹„ñóuª¾Š¾‚ÇâÃéûšñûTo·¼«º™ûqiüàüßëêýÃÅ÷µ~KÔõÄq>ö¶Ѿó)¿^øê~ÛøIö€-ïy8³ô¿ Œã=‘>-|rŒ¿â&¯«âÈÂO¾§Nza=¥òµ—ÖŒo⑵OVúäçÀ?~¥u1>™w³¶ó•ÑOß'“â|æ§òÿâMæiÎïº[¸©þ3oähw©38ÞQ>æe×–8ÈýÙÄIº¶ÄAc>g>ÿ…8b‡ËÄyuÿH²ÛÔoū鸲³Ñ$ùBøVñ:å÷3ÿ;*á§æ¾¾åc,wçY–†<—ù·ñÒû§°ç'”w*½•ìöͤ¸×ëè}ÉÎwg$»¶XòcÂ+Ç×凾X?“ަϮw.ãÔyËþÑW,‰s‘5oÄ%£ŸÎ›8/‘xÅ{òÿ»ç¦¹¾ìöÒy ¿ë ßx¦ç÷ÔñªÛT^Oãt¾ ápâ•ŽÛþÏq²›Ò×À¿èóLüÀz:?²Ôt}¿×iÙ žçy§?µ¿3ðƒe7<Ýó¿ìwð¾‘TÏXõðÝqñèïû£?H¯ ’ãwþu‘ÂÏ„Ökø„ýLÂñg—Zø‹ò{Ïvü(Ô½¶ûëÑ?ù!Öƒ˜„;àæΞR?Êħž‰Ÿ{™gû…”?KzàyÜñ8ô¢ø¾ð¥x¢÷¥ŸÄW+^x²Ü>ä?Š¯Ù,ã8‡-8=ÆÉxÐkçM¬ß¥/7ÌÇÚ/8NôgKç韎ã_zš¤ó•Ô¹¿?úüΘ×ÇÍ¿;úãv‘ßóŠLü’ã}½$S¼îï—û¢4¯®ç8/÷žì%ñ8Ž#¾ÞáoıMs©ƒ€£)ÿฑó”'€/9/a=]úcí¼§ïîp¼ãoðÖy!x[íÃÂ)n[ÖÉy‰0_Î3%\^ø8OO0§ºáNÖsœ”7¬¼³üÎÑçp\*]Ç'¿â|–íÉã?Z¯_ôFþÆó›òoɪŸØ£>›`/Ëý›cÜø±òg¬ßÀ/ó§Â/ìÁó8æ¹xžòñy3’…Kú>ña÷Ló¼œx‘ó²UGîÕ: ÒxðÛ¶³t¿”ñ¶ø¯ëOÎ{IŸ–çöŒ¬Sº¿Òëo>^üCõ÷—ïmïéý”Æò.…Ûž/Çy—Z7~íUÜ£xÖu5ó,ïSxKz›ç¿¯ï½¿œt~wgö‹^ŸßLuãxÒs×Ik¾¯aß8ëàïS|óc]Ì·¿Kò(»myi?‘¥Cß\÷ØúÏ£<|vPveÿuPoüýÊ_ø¾OçS£ÿËûÔÇŸ ÿT¾ÊÏá‹í*>N8[óhüSÞoÙç„ãô¼xßÐ¥ù’ä×b½"Œ¿ê$ãúÿ(|wܺÛw ÎÖ÷âÏÅ3Çú¸>_ñ¼êôéþ¾/ûÞºEþ½“Ä—¥gG× ;‚Ÿ0éwñOéóöŽoêùüØGÀçÓ]]òÊázžíîÇ[ê_â95ðpéQz¾lšgóÍôù}ï›_®¼•óßâqé}2ï'T—´ýÛ~j<“=™7·m'•?í:ÿQþ ýIu/ã‡ÖñºÒóãûÝüœZßçÅ:íâHçÝ(¾“æ«x¿ö£9¾äu¾ùxÙ óq0Þv>twÞ¥2åÏßõºñÙy¦ÂëÑßôœˆÞ—Ý–|}“E~{ôÿRI¾”ë—¢·…‹è±ðÅú°¬ãЯôÜ,äöy=•â;Ú‡‘ôØϳC¿>Tÿ¯ëo“Ü=ÿËÒûbŒ'æSGù;^M¼üOãºK¾ØqÿøžóíÏß×zYOÐó§e¿QˆãÑK~÷sø–uW=f—oOßG)ü(?¤~WÞ<£ð»ê9!?¿<Ï‘øKß•'í-û(’Ð|¦ãý¾£â;ìÿøúé¾A~ÇVÞü/õ¼ò°ïË<ÅýNñOŠ¯%þ\ÏR\rt=ì·íŸ*o§x~±ÿ€?ÕnØf{«õóýLû2œ—ªõVþËû:XWŽ¯û#BýÙuxòΞ?ò~ÙÿŒïª?É9m¿ÃùÇÛA–Œë-ñEÈ÷šOï¤óœ‹oø×.”øÁáï®Wü(;ZêÖŽã¬ïÒoëñŽwî$ï;L<ïq½ïŽã‹— ù狯ù¸$¿5pñµ1%Çü‘‡\~’ßá›G¯ç%à–÷•˜gìÚ«÷Šˆ×—^)—x¿ßcâãГůvñKäO8ßøRyOáÿ{Â]ì£ø:ñá_áS¨ÓìžwàñÙÿ-øæ|¡Ú©û4ÆøÿÞp£ü¢üÃ’ѼTÃø/(ÿª¸<棊?°ŽKq)^®ûm´®¾ŽëNK>ÿ€ÿÒuÑoôó9ûàÓÄŒ×qUâ/ŒgÌ«Ÿc¸³[û[ëÉ;²—ÃÒýÕüûxÆùÌþ=Õ9e‰;oU~Ë<*ô7å×Öͯ+—}ħׇï“Þ¾+¼YxLXÏ”çMý®y øVýMñ”Ú<‡8uØÓòœ›qž÷o\_7#ßÏ»t]S~}9Ny†E êyVA/kœšGçÝñ)?B{àÒvÉ<> ëU¼1ðx¯«ùãIûŠˆwÂËñ?ö‘ð2=o„ÏæiOG¿žŽëó=ûù>ñCdµ3ä.OI»nç¶åQÞygòB^~”?SD&»EïðǾŸ×8n>T<€ûÞ„ËË}3ÂÕ´/¾‡Lxl»LõçÓàØ%íØß'Þë¼Ñ3ñ}ìÓ<<½w&­²pÎü\㲿©çˆÂ[Å›*%Zîÿq´÷ý&tÞáõßÇ—­~.†ë¿ñ}'ëyÂß8Íךï/ù1ôÚ~~;$ëí¼ôbãøÕ¿?mä’þëÓ<¥Û-¿:æ7ÅÓ̃÷?—ÝWŽæ™½n•öV÷?*îXêÍò{oÉ.,Á1ãÕ!Ž÷yô›¸ÉŸkâÑüó¨¸"­ƒõÞà:Ü.~ ºZ.qô8o«Ÿzáùòs` N¦øv´ÿžíUyÀ’ã¸z~›ôÑ8žÖ+áÙbgc| oŽz8ô=í÷8ºþñ=&²c?WþÖ¸•oòþÏþ(áú‡îßgÅ9£ü¼÷YØNž¼±Æwç|ñKÇSÖ/ì¸ê-c>Ÿ‰—,ñ™òE»¼Q’¿€'H_RÝ›þÆú¿ìøÛúl¿æø”Ïàp²Û²wñ ÏWÝ$~8¯“òEöGò»¿¿Uvöq|&åkʯ¨®™xÁ»:þÕ“¿Œù õ7Õ?‘¾¿ÿÄá~à’^çàJàëâ—uÜÐßëüôž¤¾û™üà’¯&þñ–õÆûUœÇöóÄÓºD}fþñûc]ŠO <ó~ßÿ\Æü«ý£ùBÅac]ß^8^OöÏz/þJúTÝŸw¤ßk¿2Ÿ‡þ|ò2)O`y×üîUËžÚ^|ß)ÒuÊë)Od{þPøì|Ù»òcö…¿âaœïûƒ-+/d|NqÇÐòÄK݃¼kàï\sÞ/•ø…_h?'’8ÍþÒñã²OÜ®Ÿü»óæóæWÆ)æ±Ö‘õS} |øiðÏ¥gã:iŸ½qëgŠ¯¼ïÈü›õˆu*õãyðûøÉå~æ1¾Úßò®iBòà©%ǧû:9?àù[øÔX?ö‹z_å3ñWòÌ'~æÊï%{Jxt]ãõ[ô¼Òº<záý2Ûzæ¦_1ÞÒù¼E_B»~îêÑyKuÖ$iÙßµ9~¹/|Ÿë>lŽîùøݼ—Ã]ßáù•ÇŽ8¾~Wã©ça8Þ%ë]ñxˆgü7O;:®[–©Žæã¾*=ª]Ö?Ä›Æy×?JqÕ8ÿ®ùÝÓ±nI~wô{wÜnÿ2ñ%¯ÓÑí³´ÞØŸ{?¦qÏóoSqàø>Þ÷£y"Nãñ¾bô¡ö1‡zån?Ûáyo¶Ý%Ïqéþhüíº®lýÙñÚ›ÊKŸSï÷N,ùJñ~ûßSùC·ÄcÊ£/÷m$çõ_¶7ß7ã<ÖѺæueíO_Zö‹¿9ß較ㇷe÷æsËýe—Æ×öSvüħ°Æ‘øyˆ“vý#¾÷ûë>ƒPw±]WÜpúÆúÂúȾ?¾ÃÃ*_D¿¤çußÏ&ïó—›üàÛºnÒ3Ï çÙÿ8?Q¸KžWçåaIš×}{àÉëC_ø¾ö›nx!÷ïסÝ7‡=?ë{©dÜÞ_q\zž?&½IëíúJÝ'=úãó½ŽeWI¯’¿ßñó„\W/ÞîKØù½›J÷ÃÏù4>ÒûÅ…¯à—áiq%ñ¯ƒóÖÞïï} j_z_ëfþM~,½/*­Ûn=½Õú¼Ì‹óÖyúüÈ:üNžîuœù$y ¿_Áù&ûmïµ?M’ëXíWï0¯HüÃóåçY,RøàxqYGéSÕ©78µÄ›ybì#I_öÛ).ÜÕ±—ñëßwqAz®öÅù,áCzNAâCµÏA|ÑÇ9Ÿîç;×:ϵ4å³=ã8ã1¿»çð!òpù øÆÑ}¦Î]——!áþü­aIúxø¢ó—4ŸåwÚAÂg-m';}‹õ*ù%þt;Ê?îîC4¬v„ é=ðŽô>†Ò{ÇŸâ•è£qÃxèýõžr=¯(Ååo5Oiã߇úl²§tÿŠqk¹ÿ‰<íPÒqÎW–Õ¸+þs>Füä(ï6Ž•ï ÇJ_äg_è~ÉÅŸÊ.íG’~.PòkÆÓt¿YåN¦çeYìŽûõ£?Nñ›ãå|ø­ò3K±ÙχŸDÌÇK~Ï…ë„èñò^ åG"oÙ¬7óê}ËsØBžö3V|°±+Û{ª¿0>óëâW}ûå}ü³Íü™ï:.òût|ÿ»õÜùç—%Ó}^»û¿w0o x“óÞÏôaZ¯ÁOü{=Wøµð“q^ÚQÏ©üûýà¯ÊŸ?(NNÏ=‰v9Æx|îõa·|ÿƸÞwG;È7†ž"—ö†¾¾6æ|åN^züN&¾î8Év¼Í§§¼NàIÎ+YoR^šã?u¯ÚG'ÿè¸&ÙMÄ Çq!ß´³SóÒÝs…k_*y}ö÷–ÌcåïÅ'ì7ýž¦ò3}Z‡¡¿æe‹¾„ñ°~Û÷ïn^c\¸´>f¿ëþ–¾†8Çþ«òðÊŸ-û…å·ý|øÅ.C~ÚõãÊ+jÌ—Ñ‹ôœyÛßÿ\¿;Hû›wÒÏ)òþŽûûǽP|ò²¥×÷\±Ý¸ß—]¦yKÇÙîKŸÄ§®Ãî9ôÎ'ºÎ”Þ÷i^ ß,)¾I¿¹?Ïß×ïÔOõ}å—cgÆ/Û»ó‰‡3æ¯ïkÒûç}¾íÞûƒ9_³è)þ@ûB~¨ùM¸»<§ëÂ:]ŠClWÎs¸ÿ)yÛ2Å?–¬ómñ´—%¿7æÓ|ùÝ1Ž‡·ò½ó™ÅÓµ~I&¼²Ý¾ë¾yœí~“ ×ûÚûÂÄwþj^<ôiÉ3 ¬‡'y/üÒâNâŸÔ%GíŸÌ¿R=ná“ãüíóBáçIowüÙ¼'Ô'=~Oãr¿8ün㯻Ò÷Ës/J?gùêÔAÓõSÜçÓq¿xuÕµÌ;ïæ‘ÊË/qégÑçüüëÝ·*^ˆq…ü?ßÿt¬ÃâO†ý\ÛïkœàOõ[8\øô«ÖgôÏ|ëºò»£?·ÕÞË’‡ùcø~áW±wÆuГ’Ö+Çw^'çÓ±Õ¡m—ë/õoðz§;?·ÓKê-Èä·¯+Óó.ù\Ïoö·<_O¸Éøk_ªŽ³ÿ¨ç}ѯ ¯©ñýt_åCñÛÊÃq~å/µïÉÏ¡3~ZO`¾6äâOø¨ÇÔsÏ>*—ë0AÏvzj¾ä~ïâ÷%ï1¾‡ÿ§÷¤üÉ[ZÇjoàõÛºò7óLÜÐøœç'ßâû\\_Or«ïŽWÄ?Ïòû‘Òó½’Ýw>“÷ïK½ 䎎/~/¼(¼ë¸Ügô»¬ùÒ<&þšâ–t×3¾˜Ï¦ã ·G;_`û¡T‡®ý(Ü— øæºytü’¯—ìÑël;[ÞǸñ“•o·Ãˆ‡}“_ŽþÓë®Ç|}$>jÞê}è©Ž°ìëQ?Ìk¾;ŽCÞo;Ú^:î¶ûƒLû÷jý©lêGËóìdµŽ¯‰?Ê.¥úí>z˜žKQùÏ[?’Äî–çÝ¿ Ä{ÏoàU|f¾±ÿÅ/}¶Á)¾÷>®w†>8Î]ì+ÅõÁOr]ïG©ñêù#Kþ+øŽ«øÜû& ×ÏIz_q½ò¾–ÏW<'^ËüW<à ùbã÷;Ú_ùy—ø£¥?’ä!ʤ7æ éûå>zñ鸟!ØÑî¹:—Ôc÷ëpœ3¤ópÎ,u â7åKŸ¿þ…q;n\ÞûêzÖ yU­“ìa©ëÊþ=þg!î/}•^/yì {Öõѯ÷Å7½/}ŸÚç|ê/ËóÙG{~NãM÷sø}º…ÓÄÌò 1ÎKú_P>±pl—Çv»»)soü÷ð_Ý»÷íÿùwÿxü»¿G¿û{0ɇÓßý!LÇ"ù÷ƒé<ŸÏߣðýü÷@m=žþæß…kqìÜ·Gjƒÿýp:÷¡>§qùÚ¦sæ¿Çc.ß[Ç{ÿÞéÍ}ïúùXß{ìÝq¬å}‘ïOíxÍÜy~³çÂzrd}ëúóœvc¯›Æý`jsÖ›¹Í´^óøÑû÷NûñPí{mº1=P´:§Ó-·Á8o¶ÏU§›÷ïöÓçy.æ϶)ëÍ9[ðºÍíú±a#óœóoÏg·÷§Ïcòœuã?jãÖ ¯¡×cß#}æßš6Œ§ž›y^ïëüjó¾Žy ómwël_ó¿=g “|ÌüÝ<óõ:ìèôÇxgÛ} óº{vï9ºoû¤‡žÛs×èlÒ˜ö¸¹Þl¿óø>Z¯ÜïÎgø:îK׿¤;¶qc‘×*ñƒNçß?sl§‡óy :ŒHë˜~óÜtØÜù Ž¹¯ãmC;¼2ŽÌßÍó1Ûï¼¾çpÖçœó}Ö/÷qÖ«nnfæzæEtL§þîþøZïõø|Ǽ>Æn<^§nMvXnÌ5Ÿ™ñfÆÓùßI:<÷ñÖ•´VžYæsæשׂIOŽ`Î9þÑ釹Q7Æ9/f?0·Óçk'<9‡3žú3ëÁœ›˜ÿ欛SϵçïÈZìþε3_kÖ!ëÖŒû^Ûz7FÇ÷Ã9‰KuØÙý%¬˜uÃ×NýHsÞaÎü1ÂzÛµëß;ýìlÚmÌí8â6íÇ;{îü‘1øñ½^oº93æÌm“Ï­õ¹ù7Þûœs1]Z—îúŽØ·w~ĺg=íüž}ÍcýÖ­ïCçÚÉlïóoɧ:Þx¨ß:ݙϟÇaÎߟì~î¿óóøìæñ¹Ÿ¶ýn®“:V™ÇÛáŒíÊçÎkm»JºñXÇ%;y óæþì0êá½µ/|6ö¤>°.øÐŽïÍãw¬;Žw}~ò#IßæùOëeþ’üê¬G÷›ãÏÍóì7Ì»çyðqÖskÑáÇã{ë|ÎóÚé¸Û˜qb¶»ÎïÎç›#±¿{;}8·æö¹ó:w|Ä6×aLÒ­ùwçÜlgƱ.?c ´nvùõ‹¼†iÝ=Wnsþ|N·’ó5ŒQ¶»kg_7ÇóóΘg½˜uø±®é¾w¶”0ÅmÍ~¿kÇ}r[]ü“°ÈÇÚ^­ç¶á®f§9ðXéZó¼wzipû÷õ7ëÖ#µÙéÍŒÏôïsùo÷µ[ÃsxÐÕà‘s¿Í=¦®½nml]8ÏzÐaZ îtr¾^w^wnͪ=ëˆ1i>¯Ë¯ÙF’x8µÙùÞn\É?:û±Nusa|êtÕã›;ç·æö;Ì>·f3Ö¤õMú2ã¹mÛq€ûa,íx]Òo÷×:ÕáH7–¹öyóuOêê2i-»>Ÿ³Cþ=ϧmëœ~?Róx:Lëú3ÿf.àcý]·ö³½žËutkÜÙ‘Û6?tŸ»±t×éxNGZÇäçÎÍ™õÖœiž·#ù·}._5ûsˆt¼ug‡#]?<^ÛfŠMÏé|·f£çéÜyó7ZW¼îöûî¯çxöƒŽGì7Í:ž:÷£ãnÝ8·íâÂ4gž›ùs‡ïÖ¿9éñ˜Þ¿wÚ¿T7?§³~9wÖqèy¹f²™js^ÇC÷ñݱޥ±±Û™Kž³/û'ëç9,qœû›ôoÇåf½tLqn~v>;­Ï|nMlÏ–^¿Ž&ÿ1cË]ÿÜ_7—|gÜÆîÎéЬ›çxËÿÑÍý\v}2ùÜsóaŒê°rÖ“ƒ»~w1½u¤óŽ™{_ŒM_HúÛù³™“%;¶Ÿ›û>Ï×Å94æ:æ¾w×îø¡yNâkó:¹Ÿó|xŽwzîk9ž³½ŸÓƒ.~™û>ëÊ<þÇ÷NÇuìëô=ÍõÜÏÎÿ»Î|^â@çþæ¹¥­sœØ¹ÉGúìþÌm:·~ÿÞ:¯‰Îkåï}^²ysÎ'>P›ÕÖlÿöc]¬Õù‚„ÿi}í<×s,Ðé|§Û‰·øš¶»ñØvÇuœ¢óEÉ'ϸ;¯£ï°Õ¿Ûo›—Ìøe»4nœÃ¶„ž÷.1gO6yN—Ñ3ç¬;ßÖá_ÏŒ]]ßgë|J7wóv˜m=רã] ØÍ}§cö-ÉF¼~‰?Íc3NÚz½g?hŒ›Ïël)«u²³—îØnœ³m$½MýæÇûówI7lÓ—ü=º·®G7§óZu¼ÚXÙa”ýùµ3ÏQ§Fvúh;Jëð°9Þ:4Û”k/ç°¨³×°ìk»~óÛ×ØÍçÞ¿—}âlCçt¹ÃÓ´†^GcÁ9.f¼êü²õq>֜Ø“rFçþæþ;Vèæ£ûÞëÔÙ{y7è°ßÕå}g®Ðq-Ûí¬£³¾³¡î;ëðìÇ­‹ÝÞ Ï›ñÇsai ¶mw>6­«±Æ~ÞíùxçÉ:Ìëü@g7tk8ãE§{Wç³:~4ÛÄÃ{ëzدÍmzÌQ]‡Jøî5ëp̾lþëì Í‘¹ÝŒÝ]ÝϺo½™1¤³ëΆ<ƹÏóuº¥³Kcª×,ùܹíÎöçß“ÎZ×ìºø*Å2æ"um¯y²§ÙŸ‹7¼Cÿ>·&3FœÓÉù÷yçëÛÎíw¸ì9ìðgæèŒ}ʬƒ.Ïó`}µ]š?>Ô9ÆÎOvvæñŸ›/ë©ÛèlÇ6ãß湶nÏøhìïü–m°ãÊ ;l£óœùóŒëií:¬´oŸÇØùkÛÙÌs{Ž):¿¸ÎümÞ¸Õa\Z×K0Ýx2ãC²ÔŽ×ÎóÙaÑf^cÀlÞ«5û·Ãñy=æ±ÌøÛùúΞºku\pnù±.î¸sÎoæïpͺà1ž›Çn>üy¾îŒ{i æw1ÏOqZÇ·¬ûÏIcšÛ™s7¶‹ÙŸu±mö‘Úpçñ&ÿb»:‡}¶™ùú¶ÕÎÌal+³ØÇÏ|{ž'¯mêó9îpìákÙo™ß<¾·êŠ}ƒ±Nuýí¢³ß®ó:wØçkÎæ"ÖïßÓ¹ó|X‡»u™u¹³«Î¯$Òé¢köIö)žóÎî»ñ¿Œ?Û׌‘]ÇëÓÙag3ÝØ<ÎŽóÚf¬“Ýš»=¯sÇ弦i~Œ'ÆsÿFŸÍEçþ;>™ÇØáµãδ&§kÛ>æ~ÎýžõÀs3ÛÊ||‡#Æ÷Á1†q´[ÃÎ>é÷¿0öøó¼^óuæ~Ì×ì8º}d§SþwÇO›I'ìc| ¯u7§ +ézæ¬ÝñïáoÖ­™[Î}îðÕöÖÙMç?»ïºcøÞsh6þ¸=û™yîìƒ;Œñxgßá5ït¨³§®½¤îe^4·ûPçØž:]ŸûÞÍ?}sŸfÌ›1&>Òõ:èô¼;¾ëƒ¹ƒýÐÜîüu£óIs»^ÛÎþ;äyõº%;òµ=Žd{n³›Gû.sQcTwÞŒ‰ž+Û•íd^¯k‡£/²Nûsß=÷3çwÿÜÏûævº5zx/Ͻí¹Ã±î¯ç·Ã‚ù¯óõÛ|lÂAcŒûl ç;ÇÃÝœÌÿ~ 6Œ¶wc}‡iÉž“]9Κå<Ö‡j;é’ûš¸B·†óù3‡ìÆÒ}Ÿlgn¿›OÿfßÕžÏ>©‹SϸÔñqc˜×®Ãýwø}® Îãöz<º·êòã{=oõz>n®mnßÙù#óXm¸Fa ë죛4dz~8Ÿæ¸¯óçŽsì×fßeñZκà¾Ìkfî0Ð6kèür²ÛŸÿ:¾flŸÇÆ5¼OÃm³=Yª ~sM|î‡}Šs´ûú³.Ÿì':2×ÍeçwçöÜ;×ù÷®V`{5î÷: ›Çc<·þ?Ôqi>='ÖÑn~mg¶WûeŸ?ë¢íë®}N/Ïù]·Óϼ­ó=‰3YŸ;ŽmL7vu:á5œñÝךqµÓÏ‘ýLwŒûôðÞ:ÿžÃù÷s¶<û¿„MñúÜwÛh‹G÷òº%»ï®c|4¾$ܶ'½îôsžkãVç;\ì8Hçç“MÛŸ¸ïÖ‡ÎwÚÏ׶Ï2Îκ7çµì÷¯¶ÏN—ý9ùùN:c¬5Î̶ÝapêÏCO]Û^cc߬÷ö© ¿ÝË:Óù‰¯}žmÐm{“Ít¶f:·c{êì¶ëk×ßd»Ï1î%Õá͹¹Ÿmc^ãu§cF̺5ó5ïçy öOèæµÃ’y;ÀïÌú5û ãršÓn^Óú™³$Œ˜Ï5Ìö¿ë‡õÎí[gfÜœ÷½<ž®iÜñü>ÒçîûÎRÿ:»ëòrþëìvöaÞ ’ð|nÏz:ëºõ£ÃNŸ­O¶­yìçxD×ocÝ| ç8g]´-?8s¹ŸK>³Ã ný¼.æ*¶Û¾}Ãl÷]­Ô–÷åÍÛ¶|Îæ’nŸ›+Žu=±ó·ÝÏú7Ëù7Û˜û4Óù „µ3Vtsdh®úHí$_à±uz6çÉæµLóݵá1¤¹6‡´m%¼ìôe§CÆó\Ï[g#éo^“sºå±Sæc¬ÝœØŒîO§Û=wcN|ØcH±Ê<¿S²óNÏÎéöŒ®ó¥5´¾wþïœýÍýìæöÜx:îó¨¹n7Ÿæó5æÐk9ßsoŒè°ø‘ÎëÚ3G' Ôf÷›×£³áYÏí“:?ÓaàÜ·}Ît˜ÞÙ±Û˜`?aŸã¹ë°¨«çÊØd|˜×lž›nOÏ<Ïïœûê>³±d3³®ÏýìlÄúåóm¾öl+¶eÛ«±Æëa;ít‘¿n/ß<öÁ›6gÝwåѽ~¾º8ÃkÞ­½çƺÔá¯çºóUÉ^cÌÙ¼i{‡Ë¶™¹më‘cƒæîüˆûØéV7'à©ç5;7σÏïüLçë:›íæ:é謟þ®ó=tÎÎŒÅóšt>Ö6Þù!Ÿo®Ö}ßù‚_:›²^¸ö šsçóçenÓ¾sö)Î$}NñE7ߎS:ýíôÓö9÷µkcƉÎ'Îód?g 6¦v÷„Xo:{õ:uØË͵¼Îf;nk[~¤v:æõìÖ½ÃQë³ùó”xÌÃ}ë¾KkØýÛºæu³-wzÕé`‡ÆÌ÷Y—ç53¦¦Ïžß„¶Ç_óx»¾cžÏù7ïÛñœy æ~ò}çëçß¼/Èü$Ùg²‡îÜùØ™gk;5ÏMXÔÍs·ÝúwýI};‡Õw0¦ú˜:n¶µNg»X`ž+ãïwxÒ­ŸûÉŸ¹Sò]ó1^wçj6v6Úá¯Çaõ<ζæ~$žÛèöt:?ŸóàÞªKŽ©ºÜ‚ûÖ‰?çÊü{·¦¶³¤Æ㲯ÑÙð|íûj˶šôyÆK¾O{è’>w9 Ï»ÿ:œíôÅçxn%Ýépᾤ¯7×Õ&Ó¸ÜËy€×Ä:ë¾Û¿%<2nvöh{ï°×ëmÝí°"ÍÑl·çðéÜغõ?´úœYoæ6:ž1ÛfÂ…Çú<Û®ckûò/gý977ÝÛWÚG$}èt`žƒ?;]L˜Ô­uçíëºógÙoÿððÞ)¦tøblîtÉkÓý™'žã>Ƕb3¾Yºã;Œßù6ãdÊ#%Œètlö‡3þ%ûéìö^x\óÜúÜΟ¤¼HÒOŒ#ç8júnžWß›lqž×<;ûìö|=ÿÝø;{rÃxm}I>g^Kßkâ}«I¿;û™õÛ}ëleö u|ƒ9×.­ÿC]ïá½Óu²ÞvöÕaý£{ëzw~e^O¯Iÿusœl³Ã—¤ÃÖÛ„©æYóútve›=7ö‡ú=Å×Ý\ÎzÚa—ûkôüÌm{î;¥µ·3_ò¿»m‡ÓþÎs>¯‘yÒü{§«îW·NͳS;³t¼å1ÎkÕù‘Ç:ÎkdÌ´½[wºqy ç¹ìt&­É‘¿4ŽŸºy9§îÿC]3ÝŸ0Ïog[ÞÏ¿ÛWÙ‡Ï8Òé©k~%=bKî—uÖógÎ…uc<§W¦§µ;gcÝ_§»¶±„÷Ýšvsçµ:Ç ºuí|äÜçÏÙpçÿ|ÍyŒÝµ;œJú“üñ¼Öç°ß8Øñ9cqg».u¶>·™0,­íìËæœ×9LHüãˆÏèôq>ÎýpÌiï¾ÏsêyñœujO±…Çk;~poíƒõÙcyÜ|×éYò'÷Õn²Õ„Sþ¾û;‡K‰‡ïþŒû‰[£SûÖd§óÚ¤:ß9W8û×”Óú¸}¯yƒΆŒ>&Í‘ý³u¼ÚéÄc]¿û<_3­e‡^Ën¼ ÿø®»jî£í:ͱǰlîO—G›×t–Ýšúo^#Û´1¬k«‹{»µ›ýW×Ùu6Õý=ÖõŒç»8Øk—æÄúj¼µÝ%»²mtÜf‡oó=ïõë²ÓûÎVÓ|ÏzÞá“ÇésmÆßN_N×:¼JØ>ÏkÊw‚·í¦¼Yg×]?»5í¹ÓãÏíjÝuÎõ•q§Ôýét(é m¥Ó«®ßí|\ÒóîxëHº/¨ÃÊnüÎY>n®™b®ßźݸŒÍÝ:w˜˜Ž›çÕ×ìÖª³±®?i;>3÷3åoέyŠÉNmvº–ìÍmìæäœíÍnÇ :õغõ´Ûå»yìúóH×vû§±aC®]t×õ¼uøoéµt?=?36™£ÏÜó»y-ºù;‡õoíl¯ÃŒ„»Ýz9îžq%ákZ‹î¯Ó5Îw~»óžÃŸÌm±s{çÓ?º—9¦õ:å‡;¿–0ÿ¡>§ögâó\?ëp [óûj³³™—ù×ù”Ïæ?øU‡}Ì™çÞ¶4Ës~á®ùügSz=|ãä9Œðµ½/Ä>Ø:•ô¡kk‡=33n¤µ´=ζ–òxÆž95ÿ¹½Î/Ø¿\bCï­ãžu´›/æx¾æ9ÞÜ]÷œ?Lç%ÝfÜêüD‡3f}Í:÷as¯×9ßr.Ï’t³Ãvcz·Æóúuú’¾Kv2ë™ñÂó;ë±ç®ÃÖ>ž;×öà5êÚ¶Íu:bþsξêüäc;[ït×úéûim»î“õÙsØéŒõwÆ ×9ç¹èö¡sÞ¬·îw¼Ä65ëu7·óq]^ÇךãE¯Ï³O1?êÆÙá1ëz.ðçN¯ºëú»d§ž‡yLçlz·ŽuÜ<·þw§«Ž fß7_Ë{W=Ï{êƒçÛc´í¸OógëüÜ?`ö·Ž;Ó~ÓYÏ=ƤçúìõíÆÔµ™¸Œ¯Õa½mÑóÑášul>ÖüÛíÎßuzoŸw®öœæãQs-ã¯ýv§/ií:;ó:sí™oÍܬÓgûÌnþ;ûOýxÜ\çèœ:7Эkǧøœr.îyíÏk?ÐÙÞÜo~»¯'œ|¤ßíggŒœmÑúÚùY_m³Ö>§=Ïž+Ç'œÛù‡níÏýuñQúKØâ5µœçþñ½µï Oºùíp®kØÚáv7gÝzÏýœý‹ã†îxÃ:×Ù}²c묳ÎÍsÐå : ê°oÖm÷{î«yu7V÷ñÎïbìO»µ6NÏ¿»þæ9𘭛Ö÷YOf=›mjž“ݽ™^[뀱®‹ë;ùx:Çúé1u62cs¾‰·Ïãíö#v|Â6Ù­¡Ç•tÍë–bûÎtXÞaž1Ýzçc:ݱmûüsívóa{œçÚsÜ鱵üWŒ ]?¬ÏÝ?jŽŸÿÝÅ!‰ïØÓšp¬ã~ÏI²Ï›±Ò¶ÑÙx×ǤãéØyÌǜ׭[ßn½“^uëÕõÍ~Å8ëuílÁºlΙæÐ3†yݺ9ó8èþ{g|ïæ&ýÍØ9_»ÃÔÎv¹¸nnÎa”ñÈz4ç¹:[ó¿çv쯬Óƺ®ÿƲäËÏaŸ×Ê×rŸÝ–u³óƒÉwÎ×îp±³×.–÷Zò»÷¥Î˜Òar×îl/ÕF:ß:hî9îên Oæ5´nò]7§]žÃcõÛ47Þ¥ÚŸ¿ë°¢ÃžÄ »>ñg~ÒŸÆ2ÿÞá©×³Óùtn mŸžq7Å0~nD—+ît¾[—fv)®ìüƒíÊ8fÙé¢ûÛù£™÷§{:›œ×>éጳþ­ÃèÛ½¾_Úqàƒ¦-ûºyþ}¼×&å}ºµõ÷Ì©¯ópú-Ù,¿;N´î9¯9Ÿß­Q7×Æl·×aj§ƒöAž/sö9¯ê°¯Ëvxéu²Îw˜ÒÅä©ÍY?:Œzpo] cÓ®íÇÍoÖc¢×7åŒk¶é4ë·×ÜøjŒKØçët6æñ¸O]ÞÏ6c4ÛZ‡©ÝXÎé^ò™îKâÊóút¹Ëîü4®„_ó¾Ûcâ\³ïŸšq²Ã­®ß]^/Ùs²?3÷ÃØd;÷úuœ~žÿÎï·Ïéd‡}ö^³ÎNºyœÇ`®tÆý°ï4>Íø~n¼îõ~ÀãôùïïÖyK§÷]ÝxÏ­kÇ|=÷É:ÓáUgŽ³ÑÝÙw™ktŸ°ÎxÚùg?Ÿæ¸ÓÎ>ºsºy36Î9;÷å‘ŽµêâÍùïö›ãÿvØ:ãC·>Ý9Ý\Ïvíö[öÙ¶«¬óßL:zN?:Þäñwç%üíÖÙÿN÷¢˜ÓÃCÁºÐéñ¬?Ýõçu˜Ûå³qÕmwvô°ùó9nëQs\§;>¦»Ö¹yìôÔ¾ôœ=¸÷ÃØc´ßìæsÖ±nNÒšw–|BGÂn÷Åó3ëAÇW’.wy&¾¿y¬ö^ÇÎ~=ÿÝgcç?ŒoH>ežscQ7ëø9,÷zœ³]ú~¿9oîCòYvØ“l±ãÖŸy æéQÓÞ¹ù}¬ö»9êìÛ~Äc™Ï1'µt_»ÏçÆæóÜ7s’äoÏaâ<ÝZtþvzê95®¦¶}ôÙ:åyrž®›Ó®=Ï‹q͹‡Ýœu|éèß9¾Þé±×$}oÌ2·›q"ùǼ¶9ÇŽšk$\›ít»³“s¾Áç{üÆÀsúÒÍë,ÏèÖµ»/®³÷?=“âÚöxÜ–ÇÞÙSŠ—ŒéÖ¿yí»\ùnígüržk¶ËnnSL“Æë¾{ž’nú³÷ZY×'ó¸Üÿd C›Ýq»ïf;펱®vúÓéŽÇ7çÒzù÷î8ëÕŒ-¶[·ÛùÉmŸ[ûÎZ_»ã:lî0ÍzðPßû¼îs÷7ã~—+6VÏçx9¾ó=ZïvºÚù}ÿæ¿Yß:¬žûùXÇ¿’M$–ìÖkÝÍyçk’mó×Õ•Œ[çæØžüâÜ^wÿô¼¦s·žçì»ÃànþÍ-Îá‹uÐc³ŽÏó;¯—?§µíðÜú`Lãí|õÎÆ»9=§³oµù^½Îž¬_‰ƒÍcè~ïôÈëÒ]¿ÃŽ/ŒïÖ£„å ‹çyuü7ãIº_¸›;ãÒìëÎé©s7»}YîåqvØÕùzó¢t½KÚvÒ:vkÖÙ‹3O°K6ÐÙŽu6áô¼³=%ßÕ­Z«nÝÜ's¡îø´ÆÆùyŽg}ëÆéqÍúÐí“ípiž/û¯CÂ8÷ñ¡¾ïø¥ÏëþÎù‰öÚŽ:ö\û8ëûwmÎÒ¶pŽ—øö)ÖádyÝç㻽+ $ëæÒ:ÑÙÕ|Ín.I}sÛ³M¹OG±ÄcHv0öõqæ.iÞ½FI­çüNÂQÿù¾å„MóX:ï`îç·%ðo¿õœºÏîÃ.Ï츺ô®ÝN‡¬ëiNæcΣ×ÅÇžë[ç[ÏáOgSöÉ.ºy97¯à™ÏKë™®×í—óœŸÃÁäOÒï>·Ã~ÏSÂóÙou÷Éuk=Ûx—ÇpŸ4çœë_ZÛ¹_óz9~Lkh½HºøP³­&ÝœïSðZ§ëv×Ic˜ç²³ÎÕ7ëx‡íó8­ÿs;Ýód:Ýéðk>¿›ë‰×¬ëWç‡ÏÍQ—1Nwøx.Fèö»'ý;7®¹?Æyæ¼»—ÔöâÏÖ‹nÎc‡‡Î&~Æ3۱羛ëôÿŒMÝ\Ìãd|]Ž·[[Ûð9»Mv0ÿ{ÆßnÍCýÖù5c-ãîž‘sd.Ní8&ñ¼vcîpÂ:Ûù£ùœnÞº¹ëô¥ëKg£ÝñÝ\lƒÓç+|½¤;ó¹3éôtÖ÷Ñë1ïs^¤6ŽÑ±]·&Ý=Ïçt¹ÃÊ4·s»é¡oæã­t×qßÜÎì+˜£sy¬t¯s‡žßn­»¾.}J9u_§ë{‡¶Éy¾&Íç¥üø9[¶œÇÔÙxšã4NÏ‹¹FWIkÚñ£ù\ã¹ÏëöŸ»/v6gOxwÝ¿][ÉFÎÍK7o]nÍ~ª[ÛnÜÔf‡Oþwç“Ï¿ÃÃs8év;{êì9ùh_3ÕQº9ê°ïœ-wÏ7™Ç×åQl{¶÷s6h›ð\vúië0ϼöaÓþ<ç©ß¾NZOǹ;ó÷]nϺtÒëÝýn9µ«wÖac·Ý}ãþ{x/ÇA¶×=¬ÓÉ–;ìlª³›Ù?XçHÚtóhýëj¼®·^úçqt>Âúí5í°Âó7Á8ì=é\g É~έY‡gçb’ÎÖ7mx}Þ&»éüÄÜŽëT3xl3ž³îù:]Ķ2Ÿ›p6a_gSݸ:,œÇiýì¾ïÆ´Ãn:}íþÝ­©ÛñõÓµêx¯«íÏÇÍëÚñ°sºÙù¯NǺ9q?½þ>·;gö±Æ® ãmg³©îÝáá¹±uÇ%0†w8Ÿ×ép§GØ_wîZi}:{´|¬ÏÝœuØx“Ïí¤˜1Íõ7ÏÍAç ÝÏnÎÒZí춛3Ûÿ|šeÇ5ÎÙéüÛœ7ïr-É.ÌÕ淾Ϯxž;ý갫Ù®.f=ŸmÊkŸüÙüoŽOyš¹öçµwëñÔV²ÇT>‡eç|änƒ¤?ŽÍ»9›×ØýëÖt>Æü¥ã–ÉGxºšR×ÏŽÓuë®nÒÙžñÔÿN¶Ñµ5·ùàÞ:ƹ}ïîð~ž÷®=ûœnÞgHúïuŸ×ÂcvͲ[wÏ·¦Öýn=í;Ü×ÄóõÝõºuMþÏx`_>ï5óü{MŒçtiŽ¿§vzØÃúÒÍs§¿t=×ù–]>ÜmÎçÚnç1÷ç¿.ïÑÍg§þóyžGúkç¿ä;œ÷¼Ì˜tŽ—¤¿N§;ë0©Ëë%üìtÛºäó»1$¿ÓýÛÇÌ¿%z s‡rŸ“$}šñÕõ·ùçòÝšvç[ºüK×–1Ð|´Ãf먯 îuמm§ÛŸÖÍé¹ãÎéØ|lzVÃ9½ìð¹['ó¨Žc¥ý.—ØÒܶûÔåwl×éþ¾îxû¬4Æ^Ûd›ÎFñ•é¾Öï;Û0&wö?¯×L˜j¬ïtÆú“|iÒ?ϯ}­íªÃ¼ÎÆ+us—þýH×´=tëžY×fÎcì°Ìöe]³~¤¾%lt?:¬I6ËXç¾³~Þ;šlÃ:î¾&¿”ð8ùƒYO»ñuó5ë«1¨[“Žç&ût›é7=Í[7‡t6pÓºLÂÛ#ÝÑ·yoå<ŽÎΓît8i¿’æx¶=ÛaŸnÝ]îç—æZÇ9ûípµ³³n~­gŽ£Îͽç`g_žËsöîï;;²ÞùšÆó_7éQ§K;Ý›ãïêô¾›KÛqÂm0Øãx §uépÍØÔÙ«uÌ}ïæÈöáùMⵟûÕéyâm]º1vµ—nœ³Þ[‡=ž´FÝš';ëæÙzíã|h—éþέçŒg¾žu)Ù7þnm»yöõ½þGæù±Úœû×=£Ãûëö£æœ'fI¸2ÁæöHÚ÷ûûùï~sÍyLn»Û c_`|³?íüjÚ?l½w¬ÐéB7‡Ìƒ¹u%ÙI‡çö#sÿ:;ït²Ã¯tÖ¹ÚBgËÆ‘ÛÒy s;¾íöSLØa›}BwüæíÎÞºó¬KöyGü šæ¬[_s€Ýzy_ôlsþ½ÃŠ®/]$ÅTI×}Ž¯ØF½& ·æ¹6Þuç¥þúÚÕVúóõæ8~>7íašÏ›uÉ:íñvz:ãÓìg;¿jýöu<×öÈn¿â9}šû4»[ÿ®ü{¶'ëüéíîº)—‘lÒk™t¸Ã׃çùêxD·Ÿº9ë°§ÃqëTç;œ›egϾÖCßÝ Ðé§çzöqÆÜ{=“ŽY»g¥Ìz”úi]íÖÄ}š±µÓǤëÖÇã©oóœÎvÜéºuÄómýôXçØÁzîùíæȘŸt¥Ó‡9O“òl3§ó\îp×mu÷ñxmf ší$årtÇt¶ç5ô=¬Ö«§<ßÉöÍ©:Žœ°5q§O­7î—ÛìÎØü%\=—çLºú›pÒömüçØ:àvœÿtû­ÙW' s[žÏn»|²çÂvküëÎOýéÎI~µÃÊníÒ:&¬êìعµ4Ç»K÷×a£u óG [­Wþw§íö\ÝV²©¤ –¸ïé¸î~®Ôßs¶Þ¹‹±:ÑéZÊ×ìÖÄëî6Ü.ßwXÑqºN?<æpçÖºtÎÖÒgscÒ¹þ'’¾týéÎ;2O;½îì«;¶›ÿYß<·eÆ1~&I—ÇKóâÕn^ºØkŽå¼ç'éüŒß;žf½Lç̼ÌóiéôÎktI:ìj8îïNŸÎÙlâP¶­Îïv9ûtÇx?ÏaKêã<Ž ­¯Ý\tóÔé–m²›KÛ†çÁ~’ß½¢Ã¨ÎŸIîÛçžãNsÜíÙ÷ZÎã·ÝÍzeþ{×Ò¸=fÏñ9{ìôÕÇumí8ÃN7¿û{ÏÂÎ7Ì}œu“Ü嬳]{Ýœw¶åß½>çê5]>Ä땾ŸÛH9*ÏÅ9íÖ:a{Âú3÷kž·KgLèìµÛ/5Ï­¯ëq<Ò5f0¯M×y¬¶¯szðPmwý÷:¤á%8è¿#ÿÿÉû·i¶%KóðCÄßøz‰u¥+Ý7º‹& (Rô^|>¥ZPú‹/‡ÙôÈü×^{—.&2Â}͆ sºgfâšîûÄ%]̦F;w1ÇúÉfwæÛa¼[wò5IZ¯í’8Èkg;ãàŽm¯ô—cŠkêúN6ÿÎ\»¸4ïM±á>¿c·{Wér~²™Çä:Ü&aé ãvóœÆŸ¸r* £iž]¾é0úšò¾c±ßÍá m“?Ò¼¯x}ÝÚÊoÝs¸Oýp'^ÜŸuÿ*S>OÏå“]ÓZœ—®§tø&·N¶ü©Mÿ¬b®4†¦d®;¶¯þuþ°??º>ÌìÏþ¥S>î|Ùá.a¤Ã]úiü§gŒË‰Ç­y8Öwó°÷Í ËÎqŽ%û2Í)é“ÎfÉþé¼Áöù4Ö¸÷•æÙ•„ˤÉè¿©ûdê/­‡ëú‰ÖHqòݾ>áÉ;>ðucö´MWI¿GÓá}ZÛì¦ó;óq‡ÍGy.WhcþIZçî¥è¸À}:G¤|’ø˜ë!‡uùëLxKg—úIùµó}Ê“;S:®˜0É3š;qÛ$-q©®ýxwí óSI8Hß»1:ìM6L±d[§“ÝïæAÇÀʦÔæÇå±}µ©c¾‹éÔ¯ñbjÂÛ¥¶ÎíÝ6ŒgÛ å—CuÒËy×lKÎ…ã“X—þ¤ÍmWŸS˜c¬‰¼¶nŒ )¦Ý§}ÕéàÉ öéï)¾üî’Îr†Òù’m¸«ît=éÂ.v÷:}‘λüÜ]Kq›|åøØUwÅÅwøòNéð3­¥ö}ä¬Oxü§%q‹¹iºö±ê§÷aZkâÖMyì®ÝRnHolßi÷gòÆuØö]}Ç4ñé¸u|% t姤›ÒzO&ÿy}]!$›~Š«„‰¤qÒwëÁ«¹Þã¿U—bË6JóI¾›âìï;Ï~‚õï Ïœódïï–»ñîw'>åÚ“íÓþ­Ó ´S‡ù#ül=ÕÙ~ÂÅÝ—Öçy¬rGŠ½¤W—„Ÿ[ïjûÝüÞqãÁù)ùÏëp=c'á qÏÚ1|'ÖVR<˜c:ÞI¾278ÎV¹´ûÞñ×eî¡­9ž?S^¾‹­N/¤Xél™rlÂVªë\8Åc`k?œGïðóTÊ1wJùÈ9™q›æc;u÷{èÛ¶5ÿÛ÷SùIþìb$ù-͵ó9ëšæé³0çºn¬²q÷^­ãÓ1Üqûwœ¦ÏæÛ)­8±›Kâ›T’ߺkݼüóθŸvþp wg%ÆÐ]^M)•ôîü¡öÌݹM‡›ÉŒ—)G®Öpg|Æ s}ñ©ÐWŠÓIwylsµŒóWj‡SL;ïšÛSìw±]ßýwYݶ›kçƒnÞO²¿Ocj²£Ç›x§ãËÄOÖ)'¥5w×’†¸³î” lsÇ„}èÜ–ð0å‡ÎF«ûi¬Äžsâç™çmïƒS¼Lëèb®[ót}…•»ö¼žÂHÒŸé¬Â<çsÙŸ®µ ߇ºÓ§±Ã8KqSsO¹Çº#­ÍköóÇ•qL'¿0­Ö]üJ›YÓLºÏ„Îæó¥ï©¯îo›9Îlç¿»ù3áú§ù$Ù¤úêþfsÕgLÙ‡=lƒtæ>ñL×ÏdÿOú™êveâ¬;ÚÃvý”OV¼œø*ùˆuï”4ΩûÖßÉ7æ-Û™˜ò³›®ÝOz¢ÃwÚG›Sþ’¹&¯'áÁç¡Þ’ýûöuÝ|S^t~ñú¬O&-·òOÇ©«>|ìúwæpgLæ&®ß8°Í­9loö1åPïÑ'¼ÑSŒLŸ¾w1—ì뵓ü=Ðd£Î_éïNëS±FOÚ€sð~Ú~Nñ|§°¯;qüvçúÄwuËwôÎ?|2´¦Õ~Ësîæ°ª÷÷X:ž0‡tø$ßø»yß<2ñ„¯áþÄGw°Ýe^˜òrwŽón.N¬œW“M¬Ù¦bÞîú²¯ls×1ö˜×jn~ŽÄ¿Iú;b6³Öê|æ¼ü‰¦LvµêêNØJ¹5q[ò]ç3óøj}åÇOÞ{›úJ¸rwž9Ò®ÓY†?w¹Ñ±è1¿[Ó߬N¾üDgv±‘ì–°d¾±]îä’ô™ºÒ?ÓúŽP÷ÓÜTuý?">µéuslã7åcc€8¥†Úu¯Ó§¶oï í&_ú·~Šù#´÷µU~ütÌÕº¦\ã9ÜÁJÊõåKží®ðÚÍ­óãœãtùr²C×ïÄ+Æ\Ò«±ºuw¹ñ½0]KZ+Õ»ƒ¿¤EV¶ëÖ>áµ[7mtGw±|·íªþ´–OÛ­î›Sü|’¸4fS_“6šæ•üÞÅ¢Û' óÇÏôw;ӜͥwÖ•pιÜå¤c˾µfíòþÊßäÑ®mʉÝÏt%å®Tº¿¥K^œÞAù÷T¬);îò¹Ñ§ãÐÞÝ<ÒØŒáCý]ž0ñ~z!áÑ6qìM6s{ÏËk#×tøe¿)hוN2ßÙFæ¯'ž1u§Üå¡´†»ºÔZÞ:Ðúu­©l s”Ï„º}D7á¬ÓEÓºý¿õœ“¯'^î°ïxêΘ/–i7ÏáL­J:÷µMˆå)uåNß¾þI_]I/Üõi7f‡¿OúšÖ7ñl‡'ÆßÊÏ©íj“Ý»\Ôa,Åq•Îæͳ+ŽtŒÕ÷4‰WÒXißl.uœ¬Î›wN˜êî%;%ì¥|µÂ–¹:ág*ï´ý3J:ßu¬Mí»Üÿ;ŠÿÿžóDÇž_Ší¤eV8ãõäO~w~J\Kû[·xM«¸ùÔöw8{â…‰Û?ß×>i·Ê‘+n[­ß¼n»—¿“^»£ V¸]×½ËE~§ÎýúÙOÂ{—“oRN<“ÞèÖ5a|º—èrZçÇ„­®_ÖõÙýj~©ÿS}Ü™c²uû§çû]ÎüNÓýdûOùª«?ù6Ù´ã²;ø˜ÆNíë݉<Öõ™´Ö4úÖóºsÖ`ŒY÷MØÜ5~Í'½?äûÓ\¦¿ϱS\wϘ<û8­õwÄMÂ]77k”Ž£=Ïî{7ÿŽŸþJíû;ìú6)Ž>±ƒíJÛꛟ·wx&Ç`‡õÄ/]Nõ™úùn:~ì|”üÒé­OÏŸœÿ?õý]MØõ뜞ö]¼³¶Õ÷OràwúLóµ/K×®°ðÒ¡OkŸâp:“wIÿsÒ1ÐÍ¡Ó¸m“Hö÷õÎOéó„K÷cÒÇƺÕió”ã2­oê#á"]ëøÐk÷ž.•#ü\½ãGÛ¬pì9ß÷»~7Žlÿ}(æm¿ãÕ=Ëf ‰s½'õZïp7Çe¬N1™0~7ŽŒSj…]}ŸŒ'cËÏÐü|‹ìb“ëÿ.Î’M\~šcÿžÊ*Ï%.K6à5â¬{OàŽ}9þï|Ž÷»íçø3r«õ¯žØ7õn s{zæÐ囄wÇtš‹ýë{S›i-«\”xçÒµÄ-ßuVvNqœ¸ü.f:,txéòÇíÓ5ŽÑÅcÊ_Ž»;qô„ ‘ü'¯Ýï6ïôÕÙè.&&üùZÙ—{Dc×Æ€9›6Op„ŸãN ¤s‚Oì:Þ;Ô¾ÓBå»ô¬Ã|h›ÛÇ)GÜ¡„-s\÷ؾÚÎxJ¸îô•µÂ*'L%wX˜ìsÇvÓ˜i¬ižîÓß)°œóž5ú*¶ªÜÙ§¹~Ê«ŸÌÇkìæ×­óÏœcÚ£®âó¯(«y¤wâSlÝÁ÷¤Y~×Zº¼”tjwm}¼™'¯Ð®››óø] ™‡ÿÕg÷ÿküÌ¿+ö¯§çÉŸ5^º?amâ)çÅ)ÖÓ:¬qÓœ“ݺ1“VîÆÜK«X]}ïbö»ñ¶Ú#Lv¡Žød<ÇcZÓ'9ÖþM±'×ÓŽwüÞûÄwÛY3žê+í':žéx;Ù¢óÉ„ÃÉ^+O}rmÆjÂp÷ÜnÂê£Vîpoê»ãºÉ&v=çv'>ïðÎݲšûÝqÈñéºÛw–Jz~àyOu}²ç”—½¦U^HxšÞZÝO1–brªWgçöþÿî>ÁLÒí©îÝž¤Å·’oÝt6ÛíóÓÜ~r¶^ý¤ÿu±²q²Uõ5ÅR:k¿ë\wgoëqú°ãb¯'Íù;vvîéÖt纱”bnââ)>§|“¾§g…Pì—• 'M½Ê®wjÜNïÛ¦ö›óÄÊFÝ:“vK>N8Yýþò”Ï'løú'Üæy:®»znÓi¡d§I»—MW¹3µ;5Ö˜:¶û¶÷Ó3÷Ä{+þ÷u·ïp”æ•°²ëçT¯Ë_+þê╸YÅEÊGÝžÈØ5ÜÏ\r§ÝTçnnü´·WœŸìÓáì;…ü¼ú],uë«ÏݳªîL¶Û±˜ü}‡ó&Mu*ÖOÜ_Ù~•;>ÁŽmh;ß_ªçõus¡M§8ì4A*žo—c’v¼k·Z“Ïà®m§ùÝåŸ.VRnìÖ@;tû“wé»Çéx¦ûÙÅrʺœS±±ëó´fÚÄqšl¼Šë®ïOÊĶqê¸f Ü9ëºã×Oõäï*¬ð±Â›¯§|r‹]|§:Õ?÷W¶µÇ¢/Sžò¸Þ¿¥|ÕqìÇi½ÎÃÎ'wr\Å/ýÑÅïdÛÕ\ïÄ qÈkÄÇ*n;¹“WxÖVãOgw¸ôîW|A?}jçÕÙû³vH¾N|0å¾ïØÂXHíºóû@æ›I·²nÒ¾ÖO«¼w…ºîe®IzîwÙÖøI1mŽr,$^¶}ì¿Õüƒø·p§z¯ø}ufÁu¤XêrKg»»v¿Ówg_1ÚN1o%_ª³Š ó)cö>SlL¿Ïe›®®{þÆÌ”·S_Ííç”ë:|ÚŸrc&ñJÂõE7Þ¤¿£AWv8ô™{úòŸ×Ó­a•:ߤøíb»‹û³wÅÄ ×ÞéØÕš¦5®ð=qÒÄ«ÝÜRî¸ãìÛöøäo/°dÏ /5Ö9ÔsÜt~˜´ÉÔ'ãæÄ|¸ïñ;±S¼ÝÉiŸ`nÕŸÿ.íd»OÎè&ŽJõºó]·I9.á4ùmÒZ‰«øì€ãQ—9‡3Ï°ßɆ]ìO¶]Õs|Ú6ŸpáꜥãœnNŽ¯./ÓÆæ‡Oó±çœ4AÂæGw´Áä»;¾œîß¹—ðßi¬S÷RbyõŒ`e7ëÿŽa]›òâj®mV%ÙxÂsX²Å¿ííñí·»ïöy-ö“ÇHþ#lÏÇšÐú?½¦TÌ›ŽÌkïLøœö©¿4'ó|²ß'þœŠŸ½sm]¼ù|¦0y'tùŽñinðúºgi57Ú9팽®b½óïŠ?R¿ÝÎ;nNýø=£)Ö;.HóéæÐÍÓüæ\Ñ­yµÏ$m«U<^a bcŠé+Œ=»Ê7^WÂþïxÿ`5¯*~¿Íõìþ}ÛšoÚÏMXLïHÙ]™ž×ÛÖ¿¦|¶ÂxÂíô÷×Ó»qvºœ¼ÂäÝþÒÏ»ýN>d¾˜ÎÅÜg÷; )Þ™¿9¿Ó/“­#èËéýŽÔg¨óµq—G¦ü2a¤Ë´¿çÆXN>éxÜñ›æ;i‡ObÏó˜ò…µŒñjßß}.ÛÅDÂugÇ ÏSüOy%ù•6ZÅñhÌs.Ýßx ŽXÏg¡ÎÎ!$_§õ¦3˜´†»xë0jü¬ðѵù$v?‰‘.^ÓøÆSZ‹ûõÞ‹cÕÙ›}9ñÀSœ']v6ãß±Ûäƒ Ó:ì®ö¯+_²M÷Ž¥Ë>”7¼¾k¬)>=fŠ¹ôîHâ¾;¹oòYâ”Ô¿ý‘ÞŸ«zÖ®“ÎRÜß®{]O9Á{¿UérølO¼ÐÕŸÚûݯÎ_w|:­©û^~4§%L¶r¿é] cëŽoÏí}>Þ+¦¸ëž·vXï4}d;'ýÄ>»5M>\aÇquwö»Ü5ÍçÎýTgÕ&Ù*ÍZ×Ê?æuò±µ—Ϧ;nHº*ÅGÇ)^\¨åëçêl»ãì¤3“N_óFŠ=~÷ ík[ºmÀë>/¯8µÖ?¶{Z÷“3§3ŒmŽòÚ¨Õ:“°dÕ ÆŒãÊã9uš>}wÎØý¦9w>«Hu&Íç¶íœ¿t¼»ÊIF¦ü3ùØíd¡^#þ¦8K¶œ09­s•Óx^7á’cïºÖÍ…ñšðàù£iNæÿ*Ýïªv9(ñf²õ´®ÎG£³yÊcÖW±ÖÍÏýº>¹pÂ}gŸ¦ºÎ;ÔOë©L¹ÙXél‘lÛÅÅ”W\Ïù6áì}Aܲßôûf]an¿s.”øwâXÆÇXÙjºÇ±îØ'qñÙq…ù«Ë5ÖGÕo²¥ýtGW¥5Ù+šüªÏC}Zv¤=Ó<êº÷/ŽÉ;óMxér óê„7Ú?¹¦.?L6b<&ü&»M'åÇ;:'i÷qªÞr·‰ïâµlSýù÷!ºM8ú„gÝÖ8›rnýdœ¤¸c¾ïb²óç”S:¼O±0Ý7·'f¾\á=á3aÇøM1Ÿ¸Úv¤m†º¸N|>iÌÚ†SœR²>YéÎuµÇt\v8'§ûå;:¦ËÅ+ÿtµylïñb¾N:ðÐ=g=s6ÏV>áÒO8—qaÿvÜeÿ®¸kâ”÷œçºùL¹-ùÕçUÄÛ„«Îß]NšæÉ~È\k:ïK~[Ù™òN€5ËT¸žÂ(ŸA%>Hó¥¿Ó¾©ìÔå…Ä«öÍ„ ã9å¡N»«æG×ñ{ГÏÍËþÌ1îreŠUÏÇöáïàÂmÙ¾ðuêí”漊õU :žÿz}¾g¥ù^£‹~¶/;{pn—úèæz¨¯‡ÉNä®ÎŒîw±;^ÅV+qù”;mç[Ʊí•0±Â-ûçÚ=ך˹½còP„-¯mŠ]ãL~¼c¿4¯n\ÇÏô»"ÆoÊÎé[ß÷3¢”£'>™Öè¹ñì8ít8[ù!ÙÖšŽ±aNsÌ'}a~`oŽÛÉ6éïÄxÆc!õ›¸+á¬ãÑOóKâ ævÛø ã9–½¶î¼¯ÃÒû¶Ç$˜ƒº–0eÌNܵ¬Þ—ôù†Û›OSÆÆJ?%LtØN|:i+ë„©LúÈ?'M—t\Çw£íVóí¾Ó¯>âY@‡-ûÛ:ý=kXÚëÐ8Ú¦æäYœÓöí—ÎwóRqFÙrõ;Ö6ÿy+~LZ©Ë/|¦Ò­sŠ%Ç(më9¬ì—ö—x¾©ž×øÒúäV¦R¶ôþ²Ói^«ss‡y®Ë™Ý^Á<~‡c:žKóKëJë°á<È9§9&Ütq™Ö4ÅûíþžÓÝÅÏO3÷qÍ©”'«ë ûlÂïÄ-´©qÔayÂaõ‘lËþ¦øKçIÃØæŒU×õz¬ÉV6Lx£½ÌIóu¶{`Œ•æëðحØ«ÜžžÿÚ×ömõǵºì—¶>ÕwÂz²ýÄ+Ž/k—;±Ë9YÚ¿‰k:\ïºÞÅfŠUÛqò¿ó“ù}šƒmÃøùô÷p}-Å(¹»ãÿ;űNÿªc Ùábºnœ\¸n®2†¼§Ÿüà÷3ØÞ1~h ÎÇqE~ä5ÚÏötìM›„[ï·»<ßñPŠ‰LýìêÃkJñh®¸‹Mc¦ËçwâëTŸœç*žm›ÄîcâþÄ剫Œ¹;Y'÷¦ß}ëø·;çHXw»ŽÃVù*Ù ÃgºWkœþÎDÇ')î&ì­¸ãîýT·›{úœì8åïOÆOm釻qò”1ãxèb×…œ–~×!ÍsÒ\wʧŸp™í›lÚÅÈj,çÛÎÖÞã§3Ÿs½¼Fç9§ü|m_ýæõ{þ).'›zÞvñ4åèUÎbN,¬æ:Åq<á´ãýÔ¯O{º”cºØ0m{úÞŸNþŸüá8Ju§³W¯+Å(¯‘OÒó¶;¹ »×­…¹¸/­»ãÜ;ùã®ó~°l3Ù<½3’ìíëÖ5æŽTî¬a²…û¢mî>ë"Çܱ'çÞÝu}Êó«5ÞN#X›uøîò>ñí˜ò8¼ß½w”ì˜4Íd7âÚ1šÚyžÇöõov¶°ÍVñ—žyÜÄMXÛ;Ï¥véŒøؾ®»î9¿9’æêòQ¶ýÛqm‡oj ÿžþÔvÅ¥¬ÓiµUÞKØ5¿ÿæOêsÇ!F|îîý™±˜ôD—»’m:gŒßñ‹ûè0ÓiíŽÜw}÷»ôŵXZßÄÕÖ~]¬ÛÛ¼Ôá2­×|ÔÅBê“v®z]n5·t~L~âdÒfNë°”plž™b8ý פ—’J6·O»5Yã¬rdg—î§c¹ã¶UÜ®®wÚ°‹!rŸmzn_í›r$×g|²¿t†e¿šÇÒ9\Z‡çêµL¿÷a<Öuó…××q§1Å¿õÔåÆý*¶îÄqâ¨é9ÁÔÎþµÎÙC½ÔWÊëþaöKòWÒ¦?qx§™7¤ù®lÇyÜù›½ÉFw8à.O8I¼•æåºÓ3×KÜüÀÏ”#¦ fºƒ‘TêËû‘ÎŽ>o˜ôeºfþLç"‰Gºx7ÇØv—úI¼ÖáÜš‚¿«J“ë:™úM¼ÏX _L˜K±d¬0î8wïqíwûÂÔ_ÊéÎåi¯Ÿ0—üòW”t¾—ò“q‘°Ùñ&íÔÅV—SÜÝ¿i_’8…g«˜4.:®êÖi,¸¯Õš=Öª~·¯ó: 3÷w6º“³Èô‹÷7IsM¶î0Á¾ÒßwKcMg¿¦œOû$}5ùrŠÎIg¤e»þ¤eØ®›wÿ}5·ÖÛqë'¥Ó«É+Œ¯Æq±Æéüe›¯ÆJö±“ÿº{+;Û—.ø3qøê}bûs"Gù‘ú4ºs—mf™4p²kŠ»„Í´·¾ƒ}žy¥}l_çÉ3ûz¯¡‹ãcn3IOXœ|ïxHÏ:§üo³ºyÊÓyöÔ×”O;Œu}ÝáÙ„”ÿ¬[Š«¦þ½ÎÕ§å¯wë4'¾#¦­Í ž ñ¶küŽCÏx®—ì1åÔ)ΪÿGè·Ó!´e:û\éžIûuÏU&½n%]Î>Ò»ÀŽîÄwòo§‘;%ü0®Ê¾uoµÿèÎJ’퓆™b—uøNm›Þ“3—p éY_‡v &Ò9.Ïe¨:Ÿ¤˜¾4žõØ¡k«g)u~™¸¯°œÎ :2§¡n:‡v¾ã}k¹U¼tuÐ:³îx ê% ÑfI¯$Û:ÞÒ’ÏVqŸ8îN>îò>í–Îi|Æï5M~™òF}¯˜ãó(ïw¼NÎÇ1É:‰³k äÛø±½Ç!ój²+ï›s§ØLL¶ZåGãʾpîgÞ¶?º¶©¤ózã'áزͺ|3Ù¬|íw°‰­UüÛ‰O8¿ä«Õ³d‹=Œí¾œ‹“]’.bîr_¶µóŽ¹yò}îsŠ´Öd›„;û8aŸ°Ú7¤±îÄ¢ù0½Of|ÓƉgj¾É§I;Iop<÷™xr…ÓkûšmÛÈ9*ùËÜ1ÅáJÕýN·ŸªÇ9ø9\Òq+M1O¼¯bˆ±yÇfÍŒQûÎüÓá%ùغ`Ê“ ž{Ò6]»ªÛ=Wc}ò¿ñÌõNÏ7’†5®;]·Ò§‹ídƒÎfÝX],ÛÇu˜ðè ç2îùRê÷ҭɶHçxäÃ;øê4€yc×|­7SÞJø'–»óÇ)nÇ^ì×c{Ÿoâ÷‘|Ýͧ›7÷ÐÖ>ðÞéÒ÷¤gçÔ®pÉþÝšl cÛy;á>´ ÞîÆ`Âíü_xv½¤·›;1–ln»¤|ÅüC{¤õz ÇûJ¶¶Í“¿=—nÝÆ¿Ï^C‡ê§9Ô5r¤÷:ôÓ”Ÿí¿;¹XIØ2Þ'N°¿>WZéŒKõíÏ)vº1Œ3sŒ÷7‰«c)z>¼o['­ç9‘WÞáº4óÏe:ÿ:O·æ?®=qºù.ÙÕñÚùŸm»¸I¹Ü1Ò]ëø£ã€”›’"&Ó¼îÄ<çDû¥}U§W{5Û'µ“ökÇÖ²Þ3OùÉØNœî˜Møòú'ï™ï<'ó„á‡æÁnæ•É‡]~÷5žý`Lwy$­±‹Ç.Ç$~ïÖšrÅNLíijÀéÙ[Ú»&,¹ ñáëÞ#lçç¸Î3ùÊ\d>ãÞ¯ëwÅ-nb›äÇÎ6n›úœð˜¸«Ë]ÿiîɇæè‰Ë:»Ò.éü€ÈXMqÜÙƒ±nẺ¼™ôA²•sC·žl›¸}â?jœÄ©Sž¨öÕMvðY9Ç%ß±ŸäOóN—Cº¹'ÕÙèS-ɘI{?úÈœaοt¶´f]ù˜\ÕáÚã¹ïîýëÎþæ;íx ­ÇŸíljWj> ïw\èu’[¼Ÿ5h«i=öc–xHvïxiåÇÄ}©„÷ŽÛyîâ¸ì¸+Ù€ó^ñœãÅ:‹ºÆ<›t·ýîÏÓÙ{Ù€Ïk\ߺ(ñsçïU¼$ïtŽçDLËôqן}é`Ûv¼™æiLY_œá>1DŽêxŽc—º½L:è¸#ë¤Cý:n¯¿‹ó|â“U¼9ÿ'Îu¼sÜ;ïÙ»Æ7&y“â ñ­ñþØòºíOæê6c>ikaòU7¯d›Ä»ÆÓ®³Ÿ“Y“y|ã-ÙØyðÔOj€'†öCò3ûëÞÛUÇÚ$ñ+Ï«'_wþ´æ¨¹NzØkî0Ã>üÙ¹ ã‹iMô¯1Á\a?9w2æì«ÉÖÓ‡®ûޔ߼†I\ªo[»î´Ï·½j¼i‰×Ícݽî™tªççÂÄDâÇÄìSóç0q`Š3ÚñšžQÚÖiÞ‰ûºX'Ç¥øïlNÿ;yMÆ óС>•úL¼Þåð]Åcqí§ÆJùޜ˵§’ôטÎ,œ+&í1•CŸï¶K|B»qm)Ö§4÷ŽÇmë©®µw:× »Ø2oÛGæn×ëò=ñ—x$ùÓš=Å౽NJyÃÜz„6ô%KŠ5æágÏìá¾×MÙ]Ü%¬zÎæ ®#åQ¯Ë{.îãœÛÓ¯ó[£^¿¹È1j;[gL±çý=õЧ¤]9oÇÐO }¾âÆĽ¯»]'i(Ï/µ¥ßœ§8.Çv[Û³‹3Ö3Ç%NJ¶4®:ÜvüyhŒÎ‡®c-侺þ¾’Ÿ¸>Ù6­;ÍÝñg>õ:“?SŽKóIþIëOš-ùÇùaâB㟶èú˜âÏsï¸Ãë`žëøÀ}¦˜œÊ1·LøHº²‹wöí}–ãÿné¸Ó¼“lÅ5§<é|–°`¥IÜtï'Lkë¸2q#ñežLXíb*Ù®;§5ÏÒîlÇä›d¯-]ŸðÛñajs…û> öø´Ïhƒ¤-º¹{Ÿ™0ÒåÎþö¹c:ÙÃ×;<¥µ˜k;œÒ¾îÇþèx'íÒý.ŒAÚÑç!>s;ÔÆyÎù¦³¡÷ÌΟ)Nõ›âþ»%áÁý×|w}wûŽ~éöàÓØSžìpÆx&&RL:.Ò&,Ùo]ì¤=uŠéÄG¯Ù_²C§!§ kŽÛ®Žs¤Ï½vŸ£¥=}7?¯;éâ´‹Å„—TìæüdcÜØ›p0ù*aÄkI±Ñù.á ‹Ádë;vLsJg›«8Ÿðù;¹.Ù9ñÚÊ–…â!Å<5„‹ùÊqÎ9:ö8GæåÓ½mۣ㬄kó¬ó-9$aoÂi—+;¿³Ö`ß—ÚvsérµFªÛéÂξɶÓûh¼OýåuóžãÞ>ìæh\ëûÒÜmÎêÖ›lŸlXœ•üD úLô ßSÿæÚ„)cϱÀøJöNÅñ“8Öñ‘üAÎpœ»}Z§1³Ê«‡êÂÉ]}ãâf¾K˜°Aþ´±VL±3i;â:ÅéĽÅå SSÌxþ ³ßÕG´•5mëÜ”ðxseûàÚúX5ÞÌÏnhÚ“:Ð:¦Æ4/wqÌXö|X÷ņùšßã2v:?L˜r\Ø {ô Ÿé°m—«ÝžšÜg)\kZ˾eÛ¦øb}¶KçƒÓœ“pº~Š^«Ÿéùé ;~O'Åh*‰C:û›»:Þåz'|[s° 5Qª—ÖhßÚ¦Sîq¼;Ž“;<šÇ¦Øéæí¾‰çÄô }”Æ4®Ì{ÆPÉŸ¶%ck²¡íè¼ìœM|8滶ŽÓ²1büz=ÉÇéü"Ù-͵üæ¾îä û»Ëaø~Æÿÿ–çù§ÿ×?ý—ÿå_?ý·ÿVû«ç÷ÿ§©Ïÿý?ÿóþ·ÏÿáÿñOÿòÿþ?áÂëÿþ/ÿô?ÿOÿÏÿùß¾^ÿÃþ§ÿø_4ÄõŸþËü_j„½þó¿üçú—ª~žÿãüOÿë?ÿ1äÿñ¯sýo¶íÿß`”?ÊóFÿVž2~]?þígjSíÜæD½ô’@µ}ü[¶s2æüŒ³£ý ýTá }O´#PÒˉÇöN^œûŽ±M"OÔ=õÓ¤üÀ}Ï뉺Æ4ðÙ÷Cãä^#×u©Éçþ/\«öe[b:úE2¿ÓæÆ×˲"±#´qIuˆƒš«7u‰S|qMLüI8ÐÎÄ0íÃyUymïx3 269îs˶°oè‡Kß9ïºÏø´ žœ\¸ÆjϺOŒËääøél˸yiL'ò]}g…5ÚΛóñ˜°äù¾ä‹Sc%¼[pU<‘Cj|sf•$JÈsÄÁ¡{çÔXæCÆ:ë›>°c©|Å9>ltÿ)þ_áÚÆIâÆüÜãÇqX˜1¼Ô–\Ì<@ìq »®÷\Çk{_ëSã9þSž1_ÙÖÆ;1bžç}Úšz„ø¡(-½r³1®%>1¸ïTÌÙ)7:¦/|O±_}0^¨'¸ç–Ä÷ŽuúÖyÏ>ö†‡-ƾ¹.m ˆ jög=[±üÚÞñL~}¨ëÇñ™læ’rýnmMÛ§ÜD šðK£}h/b„ºüP[bÅxrNgþ£X’^L%ù,õc=[vóAW+‰w¬ÏÍc¼–r ó­÷ æë‡úå8µïÙê»ížöÌ“)ž½rŽu û-åX¢ï“íé—ê¿|é¼èØ4“?<ÇÄÅì×ø°ž·Þ£ÃlëuPËózÕõ¾7iM÷ŸâÝ\äx☬ÏRó,¬ÔÜÒ^!içZc9iLÇô§š”qo¿Ö5óeZ yùÊZŠýxïA\žõ1g ÓFÔ0Æ~§'/µ5&}×¹žKãx¯Éùøž÷fþÌñÊMŽJ&8±ïJ I¼&íç¹#ôçOÐÿùŠ>¨ïœ3 çXõ{hÓ‰7ìKΓ¶Iù‹º€ë ]¦ÌiÜ·]Ã|î˜ágâ6Ù!iRj3jÙtÞè\‘öüìƒß'ÎOq4ÕIÚÆ\Y¶}ª=mcsœ•M:»1œŸió¨ñ¸ŒX49ò³ç\¶·ÉĶcÚ}ù,‚ö¤-¨Ÿ˜gè³ò÷ÒlcÝ–Öm¬:§“‹ñƘwœ%®%w'}m¹xïá\h¼1¯–m9ƤCi¯KŽcúœcž¸nNáüÓ>ÐøH\æœIü›‹·Ò|Œ9ÆWá‹Ø²Nf^pÖKÌi)v¸g0×wés S߯pß¾>õÙu\¿ÖJž:¶÷¹Ôwû°Ú–¶6CäjÂò)õ¼&MÍXJüÆŸIP‡0žˆ¥â_rƒ5ãKãÐææç” XÇàø n¼uöAŒz.ŽWÛ·êRZqÈâ}÷ŽÎ/ŒEærçXs:sS§É8nÊŸ]!N‰_¯cÔœ8¯NÛx@ÿ‡Í‰Æ(óçĸu~²¾µM+×8CyÖáý,±Íœ’ø7agßÞ±G]ãx¾ô1x©Þ¾}ŵ1ñTÏñP\ Ï_ÍÍ3q9ÇK…9–šÕºÞ먱ÍwÜ×$>H|ÆÜVk%_¸°ÝvÞ_+{ækã†0§0$ÞrnIkžò8ýÎqjï˜r¶±P«y”Ÿ×˜—ísž¿'üRƒ›ÇXècæÿºÎy iÚÂüFßpïÌu0&¨ØŸùÃ1kr<ÑŽ)'[¿vXàüöíÝgŒÏ£î×ç²µ'ã•kM{xÇr—ŸvõÅ{Ž‹úɺi?Æùw奺Å[쇼Àñ)ÞiCÇ0qAMËœÃ=„ãÉqcßÓžŒâõ ?‰¯'Úr“Ïÿ¨ÙxÝÚÚZõOôK\—»b{™OlóŸ˜7¶l£²íe9G˜s˜›Òsxkosµ}á½Òí‰SsãÁ¾6_ìèg×xŽ±ê;ijúÃyѺɜRíËŽ´sU²+ÇJãqýGÇ\–´¹§q)ÞÍé\—×ÿhê9—˜?è¯4wê >ãbÎIgfIïY™£‡yþÒØŽ½#ÔwŽ¨õ0NR,Õý—îUŸ|Îü@{3îjÇ9[;úüǵÆæþ€"n™·«ýKý3—ëxilŸï˜Sh‹„5jokÈÏçW滺Gn³#ß&;3‡Ó_ä½jǸ±þ`n¡Ïˆëvæ_ljµ“5mj^Ÿ¸‹k²¾ V gó»ûcìÓV57òBš+õ_÷½+Ô“)_“Ãì»´7¨µ—olêæ1çó‹ïYsÔ5ƃ5!m}¡nÒ¼…kî[Ò>‚cíÛ;G$ÝAÀ{ä7î“ûŒáKõÉϦêïU¨ÏˆSçRk,â˜Á¹¦\ÁÜÀxãÚÏ´!çGÛ+äpŽÉv¬ãy>·¯ë ÿ“Û}^MÍèóžÑq^Œµê›yÊëäØÚÌyÄ㘇“6%îËI+Ró8o1í7ò›÷w‰cý™>"Žœãèúܶ6/¿Ôï¹½çŸ×Z+%íTk}¨ØgäbÆqÐå(ÆàŽzôAâ>â3iYó$ûsœLv$¯0.™œïÈæ ëhú)í;ÈÑÆ)ãXO\ÈxKšôúIñä|EÞ+œo5>9!ù–çÎc]l[ÛÌuŒ“æ@n6¯»^­Ç9«llå8¢Mœ»b›ÓÏŒ Æ y†X(ûÌyuÏϪhgÇ:í{¨úŸ8rüÖœ9ó®q‘8ÜM[ÑF¶?ùÿ ÷¹ß¢&õþ0ñ&ëútÎN¼Kÿò9œùˆ1xjlÛõ¥¶æjj8~mïyƒë'&¬=T:ÕÚÀ<^mˆëQïϘ«ŒqÚwŠ?ç4æfëç*Ú…y Ód5—Æ{j¬S}rþä§dOkÚý¥väwæÆvL$-cn5ˆÎÏÚŒöç‰_;¬Û˜G8gr›Ÿ÷P“˜KêgÊUnÓ•´î”ŒÅ=¸5ÛÔh{ï»yFÍØ>Õw}§=™+yçP´ŸõÚCã$Îb,£ôqÍ6N9€¾>цùÃ9†\ÉØ·Ïœ[úù9c‰Ïƒ©WÇs]æjë5â9³­M­Q:Nš8îÿ¥úÏpëô^™¼ÑÙˆ’…±Xu¸ÇªïÄ°õíDQ1G;§ææð]u½ÿI|ÐåEîñ'ºÐçä÷í50WЦ5OÇs3u7ãÆs£žäžÖó¢n7W’iãÄ[Ö«Ö•äîŸÙ¹çÆòÙ ×g0n?/):ÿ{ÏGÌ_ôIò±u%ó ë2~Y×>¦$nÈëΑÞ#ð~Š+â‚y(iÁ²MŠAr¶÷_7ísŸC!W­ŠãÞ¾«yYG:g0\¨˜¿<–}Í8z5×É7Õžv§-­elWbŽ¹"Ù̼s·P¯%?Ö«N§V…9ĺyŽq”pœ4E­ƒx°Æ§fðˆ)Ç'ízjLrõu³˜K­‘®í+>¨¸þ—êØ.5N͉¹&iÞŸî¥}‚µµu±Ç«1ÌÁŽKb„Džc.§ïÉkOŒÃ¸´î ïì+ò›óšyÇù!i’Tœ‡Rܤbþ­ºÞz/cl“sÌå#óÛ[;N¼N¬[ì£Sý’3yÞA;Ó‡Ô4Ä7sµçnme.>¶ìWbŸ9ÅÊ9=¶¯¾½¶wûPpîä0Ú¶|Çófk!c›<ÂöÖ¦äætâ7åoç™tfA¬Ÿãç´yÉçmĭㄸõžÅXNØrþ¦?k¬O[¥œmü£I³¤x¢>¦¼÷`tÌw:‰ë5V:~r<¤R~š4ãœæÿÆàþzš³>ÓŽÅÌOÄ51H??¶w›tû[G u<úP=b.åÑîã¡{ô[ÊEôçÄ|žâൽ¯ÀXìöZݼÈ/÷PI{Q¿“O‰¡”G¹†Ä…¼Æ|T¸a¬%½øÐØ´£ÇOXç^%åÜÛk¤v&žŸê3ÙÆšÕ±G½fl åWžs1OuÄû_Ç´óãìP=ïç>o{b\®ÕùÄdIû¾”Kî÷kmmmÏýmy Žu9ùŠ¶ít.ûäZÉwÄ+sqà¼Jn¹Ô§c†á˜ä/æÆŒs¤9ÛÏ­hkjö‡ÚÇûÓu?ÕaÞ"Ö ÌeÔRÎïä%óßcqI»˜ï¸.rwâöí|jìê>:ÐÛ¤Â=CÒQæ‹Â¨÷–<à~¬‹‰UIû/ëÑt.B¼3¿šç¸¬ºÔàI_ÒÏÔÖÝ3O¥˜³_È«ÖWÆ*ëZj}Öærj çÃÇöÕVäbÄz…¼Í\Öéë çhúyµú0_7™ë´ 9'å~k/ó¸µ'×Kþ&–g)WO…6ï´‚5‹ùv©ï§îíªCû;§&žr †w$Ó9¡sñ¤;¬®í‡ô¹„X¤Ÿí»W¨c{úùõ¼óø¥~˜Ÿ{)ߥ½ˆKÅ‚qZ±–ôû¥m÷¶¿c=qXƒÆÓä礷xyÅv$¶žášç”ö¢¾ŸpâuÑçÄFâNƵoÒB¶yÂëÙV5__«ëGhkýmÎN¹€|ã˜>ÃØÄ´}Ã=±ýuh<>W©{SœtØb{ òªu ùØ×÷²G]sL0~ÎUÌãŽeÚܱ`½;å*ç¤i]~xj¼”Ó#æWÛÍ:—¶%¦÷íëÚ/Ôãù­õ!õß¡¾}^Íû×öŸÔJŒ%®Ãþ`î¨qË>Œê2î5ÎP—qPk´I›~§ÍÍ^#¯›‹ÈõOÜãz>S¬¶Ôhæqú4ñmæuYw›—ûœóCý%>!†iÆuu÷ãŽMrs!}C]AìÑÖÕ?í~†±F¬1+e»'êó|“÷©{æG®—{!Ža<ØgIsšoÆc‡>ô¼œ¨iésíZóu|pß–ò&qïñÍg>‡é8=íÙ]R¬2'™3m»cYc˜¬Œ[òû¡¶iÞìÇ82&Ì×üImà˜§È¹lë±Ì!Ü÷™§§”OÈÃÜ?²_®Ÿ¸©±ÿµïщ)ÆswŽkeœúÜå›äïmÈ¿IóÙoÖܬCÝAìŸe[æhb‚9Ý>îâϱHÎL¾ášÊöÞÓz½ìÏ8°®M\ðØÞý\c2ï0;.¨Õü“>£Ö2ÐNõÝs°–.ßQïÛOæë#Úß{ ÆWWªOl37rŒKýSìøÎ1˜§ÈÄ/Ïâ/|gl%ÛWä3ó)9„9Â}’G™sÉ= —Ž7öOŽ)[Òæä>?šï|N`íhÍêB?cWißA.ªñSnæuëɤ_­¬™Œ)êys•ýkÍH<[KPÏ[É Ô‰×ìë=çyë'æJÆY§é;ê+ëñiW毮-óšó+5RwB¼2Û_äΗ9Ѻ¶Öî5%,1^ù\ÀúŒ¸dI9…ñÍg>spÎ2n­U;MÒéQúØ<é~6¨%C\}GÍá8öüi3î£Ìm>ƒ³c+[z_ã|nL¹oÒ¾Ì )ŸRüé¼ØåKrWÍ?å ë/òñh½{§˜[SŽ´o’­ßæIæ…¤×S ²OÚÛy Æó¼+Ä}a¹l—ö”æ!æÜŽwì3öç<`Ž6“«¬÷ø ¯ËýÄÈí\ÿÄ8¯í݆ç–q¼*)‰-j@òPz>›üÁRõÓä}ó1šú4¦±_êÓ¹ÚgVŽ}>[àOcˆø!^èŸ9›ÚŽù†{1r=u$mXþ 6™»{]a>pŽ'Çräræzó÷&Ïí«¸æknžª×ñQZWÊ¥)Æ©Í1æÎô¬ áÔÚž65fÌWÔŒ´àÙuÇv\åŸt}ß¾â’saüŸæÚ“¶`>M<ÊqŽeßÔ–/ݳgLjçX›ŠýÈÜØé¾cûêûÿ­îw|I b}ñÐØÔrI3ø§íÊ¥¦$ŽOµ)Œ9f|FÑiæ(Ÿ¥x¢M’®0'Ý-SNpþç¾Â¼J=ν<¯¥ýoa×k1›·mkbÀzþ¶ÞtqüQ¿Zr|ŽWõÏìÃõR,•Í—ä<Ÿ×’Wøì9žjK-M]8MyÃz)iWêcb†1GN­¹ïºFY—šNÏëi¯À½(5}ø9TŸz)a¾; â³%ﺜÅù[³ƒ‹˜â˜Æ9mD-Aý™Šýþ@ž‹ù´Æ}¡]—W‰3Æ=uL—÷Œ)ï-|æbMF,§OŒ•ìJžŸ¸Æ¹,qQ׿s#ùÃ>§=™ïÒú蛪çs5k,j]sÄ+ŒÅ¼A¬DZkÞªÏU¯0Æó·NO…ö¨þ¬#hóÃÎñwÇ­õ3“£}>H‘Ÿ’ÎI˜d|R_vù“œœb÷T=çþ»ëÛ\jmÄù?oŸí˜ë8®ù–Z€ù–L›sßÂéZÇ@gcÛƒóH¶ ïu6ªõ¿4Fâ9Æ'1t÷|¤‹~®±î´ç#å¦î;õ×JÝæŸ.ÖwŒž¯8ÖR,‘;97Ï™ñÌ=KquPÍãÂýšKÒ4«â<[¸çÚ»:Ä[Íøç™Q±y„öÉÇÎÌ#~†J ô@}êg×åuŽéýû¨1¨uÈÅÆz }ðPÿÌ»Œs»1çñÒwÚÓš÷¯y?JlÐä¶^s% t¸&&È£I÷ãÄôs{Ç–uµ1Þa½ãLâ•øí♾ãšÙ¾|êýuXù—zƒ:‹vx†þ¸Ï¨ñÙÏ¡º¶ûCíóOõG=—ò!s)µRÍ£âÀ±_vL˜ìôò[þœ8v4vË6µrAâIëÙ²·ó¡µ-÷zŽu滤oÓfä­ò'ŸV!–­w¹ßqÜš'Íiö/çFžJñê=cÙªìF=uqw5ß½M¹œú”1Ãk=á\FýšâÆþL¹‘ºÚ±áçDŽkï‹™ó ÷æ}âZŒ{­nïÍ5X$=¹Ê-\ç±½s§ós s çP6çz¨½Ê¿‡Æ£¦áÏGèÏ\dÞrü;Ö©Ë×ô£¹<ͱR¿Œ½Â-Ç£=»ÎoÜӃĎýÁú®“o=1d]áý«cÝ{Fr>¹±Öì|Jÿñ¾±Ÿò-ýÌy‡]¡F­ïÔ<ÆÏOjç]m™Gsä2òœ¹€ûî¡>C1ýÜÑËùˆktžz©í¾Û¯Ä‚5 qa;ƒÄþc{Ÿ·÷Ý^eUîìyüŒšX"&Xg:¿%ÛF䦤lÇgè—ßÓÞÏšÔý81oO¬ï˜6_3gÔøŽ™ ŸOÔc_Ôrä5Æ#çgMûD]r~Òè§>W[â–í©oœ[©íó­ñº=[Ç]g?Ì ÓĹb…-Æ9u¼õ]Ç9ĵuÕ®ïÞWÐßÎ;SÜ9ƹƗ>{ßI»R§¿ÔÞ…üÔårö[öòÞ»ÖÉ8dÌN¼öI±¶è´kÚ'Y·ZÞá:má\å\Î|D¿ÜOsNä+k >Ûxàšñâ¸K:aÚx¾ÌÖ‚e³¤ÇÎ-c-å#Ç9‘8>5žsñg@ÛQRcÖšý\‘…ئÍ}¶G[Ò.ûöÕI×ÐÏí«o G´±I<ÕÜœ »8HØ¡ýÍäXæCjkæJžkSϦó#)öˆ;r»qé´N¢ŒMŽQ¾2×x>{è×yžõ™C]ºë—Ú’ü¹âÉû*ｉCæÚòÀ½U¾pÜP'8v©cÒ»Î3ÔÅœ“ûµ/èOúÃ×wýt^í°é3Ô”¼÷âXæÃSãR1Ÿ™[x~ }fsj<î3¨AÈ·ä ëYsvÊ=lËw2^ÓØ3‡#‰køÙùÜcÑï¯æG®¥gÓÚ¹Û·÷5×}®íPŸæjà„âœ1níXs¤&¶&±=¹o·žsœNk»t¶³ÎvÜÙÆæaډϣÌa\ƒs“c*åÇ#smj_1¯³Ô3iœd/sºóÛ+ôg¬Wy…úæLëFs(ÇIuÍ/ä½Â°ÏÌIÓQÃ0ç1·“ÇhŸ¤/¨È·ôuârùv¤þq'§GŒ)ÚƱï5òܤ8xbl<5.1G¤?­y9ú$ßqݬC½òÔØ>㥭œ·‰gëâ‚qg~Jçû>òº9ß'÷;^Ìã鬮ækߺ­¹‹8}mïkIÔ†¹—zÙgÂömÒïæê}îQéSîy;üÛ§ŒêjŽÉµvgÕä¦Z¯c÷À}öoÞgòÏT«KmÈW\+ñ‘òUa†¼C»?øIûž“6z©¶ç8Ÿî嬽o7æ™'­[Œwb’Ú´¾'l0WŽ‘*ä¡Šb¼͘9¶¼VÆ­±Ã8HX¥Þ÷„9ÚÝù˜¸¶þg®84ÎCcs¾×öŽuögζFÛ5^ºÏ½.ýóíkû:gÞgÌPk<4Žç˘6/vš¯îÑ_Ô,U—v#öK|.FLÖšœ£äïW¬ëÈ-Î)7á»æȹy¯c ï}ãÛcu…ñB,Ñw>Sâü¹÷&6¬=­±‰Kû˜ñø×\lÿ—ï:MV¥v¬úÄdEÎ#VÈ_Æ/×b-Ç\cÎ%þ©•É‘«{©>wÆã#ùݹΘ²–$·‘G¬¹&ëërqdý—ð~‡ÙßC÷_W¸G°úÍ{‹ô¹Ë«>CwœŒÏÂDÒÕ†zÏúÇþôwû$åmÛ×öØ1^Å:u%y›s߇î?Ô/ãˆ1—âˆcL|{ê{âYò<ã€u¹ç"Ž¸ÿæÎeÔVÉ'>gx†kûö'´™ç˾¨­É÷Ž#âÜ8 wŽ&ßY9÷1oÐ6…îuOoQzl^güY¯¾4N§…¸'°oÈqÖ7Æ¥mÚñ%ë3ÿ1'r>´aõaNHc•­¨ºy‘C’–¢>wž·e^²n.Œðì˜%&¨é·²yáñ­].ŒÃ|ÃïÖhäiÛ9ñ1sJùëµ}å­Ä!Œucó¥18osŠõñj¼‘gµIZÄç&U77;^ˆ—²©s×e~qðš}–’8/ññhI®àœèú’|àØ0¯¼nôe\ÐIËø¾÷½Ž£²9íhû_¡Ú*Ùµ 9ʸí4zÊI)§r\r;}µåKcZ‡1Ç:Oz’cÔwïIÌ…iöÜoÌ}ÌÑæbæs$mBÒ§Ä0c­Óœ×ö5&­é™ ̱Œõ‡Æ¡}é.–í{æî'Í»´cˆë8Ãwç£ôÌ&áÔÖ¼Èøõù…‹}ÀÃùšshóµçé˜aþv]êSr÷FO´¥ÎbnMs%_rÿ^¶Nç9ÆðyÔµ½ÏÓ|Vkª±ˆ5®Óqʹ;7Máœh3ÛßÕ—çâ³渧Æ,,òÌ€8tN5ö\¨w©%j®Ì­ô±q_ujnäøÒ‘ŒîïØÿt®b¿# oŒ!ò†÷–ôÝ„EÚƒs¢/™;‹æác‹|›lÇýPê—~©ùPûO\ïBíC=nýïçC®ãùÑ–Ô°)8/ּؖ8"6¬ukžÔÙìßy…ù×:þæ9ùšó£FI{ÚŽ˜u.µ¨•¬c˜“­oÉ«µ†}{DZçx#;?r.~øTÝÖÌOµ'•ý¼¿'ß”oÓþøD{b‚8fl2/íøžr#çîœæ8šŠñá~ÏÞ×3ÿ?uÚ…|kîp¿Æ/ù‹qË8'Ox/bL³ë‹ÄÑ{¸Þñï5ŒïzätîWí8æÆ•÷±Ì¡^¿ÏBÈ_Ä5ó£ûÚñÓÏ%˜7 ougçÉWÔçöŽMÆ3µ+5HÊ…äaÛ›Ú¯ã¶ãY«0¶i[b©ò/µ:óJŠÏÓ{LïW׌—Õ±9á˜ÏÈ·´)1Së.;ð¼Ñ¼Éö—9Ö9‚sã5â›þ`œ8·p|æ>îñÍ |ÞÄHg~ºT×£yÍÚB.NëI6½BŸ¿£tûûÙœd¿M¹kêËs1v¨¿ËׯÐÞqýÔ˜ÖÞ;”Ÿ¨j^ô/õ!ù;åíŸÔ(´G²—9šùé ×ÉYÕ®ã.óó)syÛñ:åFk"Æ®íÖårr»vã3î:Îòg•ãïaŒ#Ô3g3¯/Ô£ôä\®·ÓüõÓçÔºÝ:°~ÊaÖÿ+ÝK<šiGÚnÅgoÔàäîêÐ?ÉWÆã‡:ÍüTþunà™ƒóTg{óâSuWœ3ùloú¤†¢í}fy©-óê…ëÜ#°s.÷\WÒÔ?ÝÙØ ë\oñèÄËÞ›LûoŸÃy䃩=mîøáž‹¾4Fé›UÌw…ûc€ùÐõâ"æ4Ï¡0â½=ë;~jÇK;u¹ÃkãxÌ«Œ jü_ÖMœ;¯Ù'Ô°ÉÏŒ1óEÂNÕ·Üõû(âÅϴپ½¯É±Crm_×ï\I..û Õ±“b>핽$Nã\#5?çs…qŒµ§>—ɽæòýJÛ½tÍûuÚ‚ëJ1`Þbnä¸Ì›í;Ì ÖÊôSš»÷ræŸÍ²Í£©ç=ªc½ö(ÎçÕ–çæIòs&÷±×öncû‚mèx➘sï¸È8ó3b’>eì:“mS~2P÷­ðC>N:“±^6³¶ ¯¼¿3—;VxÞÀø(ÞcŽâœ­'¬“É £ï’þbœcÖb §iŒêëµ½ûÇxeÜ$]ÈëÔŒ/keÚæÔ8ÖGÆ(×MÍÂñŠWÌûOý43G2×1~ÎЮ® Œoò ¹Ös¤æè0”òŸÛ$~àúvýd)ÿq­»Æ£¬Wk~ŽN]d>JšŠü™Šó$1bîe\'¾®ù™çÈ?~§ÁýßÔ´9w*)¾ºÂú…çIú”¹®|@-@¬˜ƒ=¯ê“º›kv^cœ$ÿ”ʆ‡>;xæá\Ç~=ã×Ø!>©Éȃ¬Ç3¶e<±}ù™œžxþu> Æ/]Oűîó礭ìsâkŠÑºÎ=—ûI—!W;V“¦³Í¨A«0÷YOÑÏï}¾4¾5ýäy“#9wƹ¶KÏÁÙÎþc,±c¢ìà=<×nM{n_çW~4‡1>Óžƒëv¼P?Z«8g]*Þ%;Ôüø,Ôg2;ê0/<·w?2ÏØÇÖnô±5aʳÄqísDZéûßöJ¶Nc°¯´÷£mŒ'ò`—cͧÇökÖ·´«±Rs®œWý=·÷¸plãœ}k½ÎøHv°ßÌuÌ/åÎ3iÇu3ñr„¾´åÜ©¹™×OÆ3ó'Ǫþ=âÞ|éó?úÂZËù‡œAL$Ò‡ô…y‘¶`_Æãº3ŸU¥½ÕT’ˆÿâ+ûÂ{†ÄŒ®ŸzÚq¸…s´VNï$t¼gûSÛÐŽ§î¥=QÍÛ~ºÂ8Ä5íFœr4×èÀœOìÒÖæ«ÄÿÌŒãÐúÅñi­AÿZ§1¿Q›¥¹1ÏÕuŸ£3Æé;óŒKùÈçÿ^oâ¼”Wè~N%qPÊήӎŒC}‘ßéŽC›¬O¨õè+®µ0ÏØH{Ï)ù’¹7åuç¶]cÕ|a—Úûò'Ÿcð|’\Å|èùQSÒîÔÒ\sÅ ùö¹}Cs¨umÏ};±@l;.«_Æ÷øeã´ð9ÿ©öÆó4mDûS§Y“œ'ésbÔ?ÙŸãÆyÐü̳,kqrãø¥ïäKc¸ã b‡ý1Gs¼ï}ص}õ ã}pÝæÔÂ%÷üN_Ù?‰cË.äGîû‰5æ´t6•â×9¤êÔz‰sæªÄ]æ%ûÅšöqî¡/­)ÌÝŒ½j—ìÀX2?RóìÏù—Xp×M÷œ‹‰ú“ó® _¸w†>Òuî.Œçî=ØŸeÑ.äõâZïÌåIsPÛ‘WÌËŒ%bøReK¯—ý<Ð7s™Ï_™{¬óÉ#´§¹Û1Èõsjn5ï]ä÷tïq£.?S#p_šø=á£êxÝô#íËœË>Óô´ßå†xæ˜Ö3)^˜œ¯‰ÝÏÚ‡|YXcnâ¼/µ7þÉóÔ iÎŒûÊ™öã~yšýǧÆ`ßô•ï3NÍŸÌžíM{Ò~ÔXŸë#&ˆGî‰8Ÿ#KΫ<ÿ#G¤¼É5&o#V­{œ‹hî!?öݾ½¯Á¹Øó%OY»QP+[§óòT ñN¿Ò¾ÔJSN"{M´ÏñŠ«ÈóÄ,µ õD—Oˆyë•äâÁxOñeîæ¾¾³Ž{„q‰=ó7u=ýÍ|œ8Ÿù†¾|âZùšq“b›cÑöŽ“”Ÿ㶳ýá{ÖRÕ§9 ÚroJ»ò|†¾§ÏR]¨S9ÁëpîJ…û7ǓϾØnW=ŸI1æ¼ge~çýúLÜ8F“.³o¹g1çvyÓÚ”í;Åóçæîo«Œ1ú‹÷ÊŽ /:œÛä®dãškÚÕ=s™K§Uç_Äa—SÞx¨¿Â”Ï:¹W7”­y=íÁ8ÏÉg?Î\‡qI½bžJqKuƾµ†yØyʼA_qÞ¯0–Ï7ª5s+õÛ';Ò6Ľmä½E² 1FLtûMŸaR'qLžK'‡î‘y.AÐÏÆPò'ù–|líØ7g;¶˜³ˆ_Çã+ŒÍ<ŸÆ§}žúI[Óæ®gÎs<”o¸†úlmA~#ÿ& ¿4†óSŠµC?ƒ‰ó¡ëØ~ö 㯸ÀXqþ'fú1qŸ÷]Ç–sXâHóµï§|i­ÆöÞSùœ…ükMG²cÌš#c”u©Í‹Æó¨u‹yßœëÅõÔ/u™uãÞëvL±óÏ„l/Î:ˆk´Èá̋ܳxOX|Ì}…Ï7h#æî'Òš™CNô[¸vœq ÔžæRÇk§½¬­ê›šÄ1—tJš7ï¹þwªß”¿˜;‹Ãºöæ”úYc³=ã!Å2s¹‡{7b†Ï<̽Ô`>Ó4g¾Â5ÚŸÜš´ˆùÊüâx6¿0ž^ªïsDk[ǽó$¯›‡w—ÝÌ]´%Ï͹þÂËîsíæ.Ç™9/åúÆ{0êpk!ÇÇKçC´µc†çØžsN—Øõ÷ZܯsX¸Ïå:Î i/Ña*åêiûѦ¦yès*ûâþ3ôA_sOlßÐ6Œ?öá}³õ$ãÔz,ù¬ìÉü–ðM~!w˜³ÍÔµîÇw\g &]Ę$gÑ~Î Õ÷æ„Z¯ÏOQ—ÑÞ¶­õšýbÿÔúíkÆOŠ)ãóõ3<ÏÏüXs öŸ1¯Ä·¹ƒgwŒar.íä}È…:I#|æ@MàxI±G¬§|Ê}´}Ìñ¬…¼·²&~`\kAû«Ó—ÞçQמø™t†qÝq¿Ûö‰oœ©¯Ò|&kû»õF‡Wb}P¿gÜGø¼™cÒßÕ—yŸóìb‘s·>1–‡Ö=ôcâ@ä6kZbš}z“t³5qDû3/ÔÁŒ ΃k6Q38W;¯wn÷Œrc=í8?óœíås6Ǥ-½ßâ<3Žiçç'›ìÊ53–¸"¶;ýã½5²uí”æãvlOLÓ^õÙñJ~cÌv%ñÀª¨NIìÒWĬqåüm~b{Ƶ÷Ö|''ñsÒà;®Õ܉ ægÚÐZŸkH1ËÂù»Œ'ç]ê:K;ÛWß0÷Q£7‰WÉ æ|ó•çK¾LÜ™âÅ9ºËÁIÇØ7\«ñÆ5;¿8½ßIë/]B|§} uZ——ÌÃ\—s mnÜYûôé¡6‰3yžÅ9—­;§ÚQ»xܤ)Rž'–¦È¶Ëߢ»¨*ORïZ÷xŽ!Ö«þ¬-Ëž‹û æß²sŸ9Þ8J¹¥Óž‹y×~4ž‰ ? ºÔÖy…k#_¥½yŠ+ò£}Qý$2Ñ>´«cqÆX2ÿ ÔgÔ¯ÌKÌ)±z©ósoò/1븧6-¼² 〱î\BÿqWhOÌ]—9'i6r!qÈXKg9ÝyÁ±}Å1f:Ç¡>1θð^”{dû+åJòˆ¹Öï¤=(×Fþ7~¼c•ul_mÆøK¹Š1Èùóú¤ª±÷ÐÇñz£ìƒvs^¨¶ißáül#Õ?ã™cv\–âØ\SŸíbuh/öɘ¶N½ô™{f^c¬YÇ·uç¾Æcß¼¼ë9k$Ÿ\¡uÏSõ̉ä5ò¾ÇJº†ZÑþaþ7¼W ~'¶«s‘¹—s¡Öœ4’sõ89Äí»µVÆíQ6`,yÿX¸JvJsôuû±N›:ß¼¶÷5Ö¨Ö,Ì}Ĺ iÞc<4~áŒó#&Ì7Œ%îU»ÌWÖ/Ô;ê’—iÇçöGeOãÐxæ˜ÌŸ»ê“5/kéêóHÚ›kᾎ8åç¤M*lߧڱmÊ#\us;µqΘ&Óœ'mi»r\íáüÇëÕ.å0ïÕ‰!®…|ÁxLñs¡>Ç&Î/2FÌÔªŽÓúâÞ¾îñœËx0~Õásêª Ÿmç4¶×C ñÔ±hŸo>Ç~ê>óÙ©Ÿ´í“4ýn¬%£V7çYçãüLÂzÁgBοŒSæÄN«˜“ OôãÃçŸÉ'œ‡Kù‚ÜÄ\ìvŒOjJÆ)ù´üe[_¬O_Ú>µ~Î-q9ÄZàTŸe;ǪÇ⬇cvµeN³ö¥~¥>N묾h/ãÊÚιŒqðT磲‡¹Œ9†yÕú°ð`?[CX 3­QYÏû:Ε˜­>öí=^ö0¾µ?sN)7úÜñÂœísÃ×öŽ·”óœm+ò+ùÌ{úÚó —ÖØŒWâ“ñCîâ<Ì9§Æ±~c‰k¿ÄXÚkù,…ýð;s¯Ñ·Î2Ï;—Ú®Äñ´}i¾°h[æê”wÏw_<ç°=49ó¤nâ\ãN‹[¶s×CÞ£=ˆm®×ÊgÞÛÔ=ó5}üÜÞã#͹æÄ1ìçæêßz:aß>fÞ§îd¬Ðߎ#s)qmÛ{oT6<ñ“q½™qP6ãÌ Žeâʺ€m+öãß¹ÓyÙ˜?›¾­ÓiËKí­«ÈCÝ>íD=ê¶#Ž£\#ï{ÏE¾°f¬ëÌçìÏø*þ$·:.¨‹Œ#îÿì»”o¨Ù¸oö¾1éMß;ÕΚ†˜MûmÏ×±éÜ@®#G¥˜§­ˆÁKõºsï%‰)öËsÇVçÿ+Ü£¿©É Ú>¢OR,›+©ýŒ1ƵáñA!'ò'yxq\:GY³ÑVÌyÖÍŽWb#ùÊš¡æÀ¹$œp/aþáùùÁÚؾ÷8Ö«Þpœò±íF.°=ŖüâüÈ\C¦?RlXËÐfŒ¶!q½æö}6ã_ôó'&Ëø®Â³4âèؾòyÛÜmž3Æ˶´õ41M›x¯ëù›ûˆkæ!ï“h#bÆë1ÝÖûSç·jo=Ax|çis€¹2Ù†÷½ß³ýïêÓó¡¶yªNßÕ'÷‹Ä–ó»mZøéÖ| }»‡~¬ó½^®Ûy‘:о§&ôZi æ8ëÎdsæÜâ‚+ŒOíjÍf호Àû2ò¾õñjŽ&OÆ»¬KŒ_s¶yÇqB\’ÓËWÞ_Û¼–òçÉ}뮶ž3¿'Þv΢Oˆë3¯•Z’|Fšg;å/ÚÓu«/ÆŠµrå˜t†A-Á9sÜ”ã‰ù„‘ê‡~£&⾃|ùI¡-œ/ôÍzµ.ú܇üZ¶+ßQ›W|Ïû_b“¶¥¿èOÚ™ú´æäõ?B=kï m9^ÊÜ{9O8o:ËÆbâ ç@kú…<˜t21n³ s s¨û§¾°¶JœL=I{Ù¶i¿Î¶ÞÓ¯es>mMÞ`]æƒú\1ùP?Ö”ûö¾&Ÿ;Ð_Œ;öáÒÙìTºVñÖé®ËAÌrM웶z©®ÏÛµ3tw…¾¬ŒS×É[¼ÏÜyn_ç˸ä^•˜Kk$†“­Í'‡ê–?Ü·2/&Îf{æ}Î?Çœeî"®ê‡1Óñ×ìÜÈXHZž|oÿ1säÙ¤ì/rãɱn¾f>%–Sº¶w›3ƺáýïSý0ß$MøÔ8œ{­ÇùáêÕzª>µŽýl&^éƒÄq—~7ö³Ï¸~Æ5mÍ8 ¾¸VkÛ'꘯ݳ><4–ýG.q<“ƒÏ™Ò~Ÿš3½Vbјµ¨u<4.ýjÍdlñýýP®é©17[«xßBuî0n¨¹¨ïÛ»ÍÙoÝ'–mKçYÖ#^xF‘´"ãÚû“ºÇ¹ÒÞ)>ª5'÷5‡þ ívÕ¡. &qŒ<×MûιæI|kô¯ó@âŽM=ŸlÍŸŽEj„„]Ö§.ê'sÞ¥ïä.r³ó;ãÝñÇ9:G‘§˜'žÛ;«Ö äËšsÕ}aÚÍçVÌÇ´ 581·:o¼BaÌy æ‹C÷\/éY·ïônºÆ¸b~·®²§&*Lðœ |áÏqúæܬ ˜ßX˜GœKˆÞ§þá|è7ž}&“®¥ünã87^˜Ë9wî+ˆïŽóhç€ÎÆôÏþɽÆ^òí™ÎꓵF3ï_Þû{nÞ«ïé Ëþ2ÏWkFççCbÍgfŽ)æÚøPßå/¶%ŽfŸ·Ö Ä!µ.±eÛUél‰Øb,О<ßíxŒ¹Ê:Ùßé›tGŒÙ&µò;ñìý0ý乓C©MŸ51O‘«ÈWƪsù…|o^êtH:çKšÃyÅÜ@Ná|'RkTŸ‰Og®Ás çsÞ´{­Ã{vâÐÜE<¤µûyÇ¡_™kÍÌùl?éCㆹûÙkûêKò…ë9NSž|¨žëSoyÖä)¯Ð>ú±Ö%¶|Nç³}Ö£í:^a¾ †=Ô–ø·ˆ1ú³ÖOž çvåÀgòcõE­Ìx ~MÅÚɜȾ>ÈÅäâ„6´& .çÆžó¯óZânsNÍ·ðPZé±½c„±“Îñžáš×Öñ-Û8çë\/ýŸðÊü—òF*Ƶy?ñ§ó¬cš¾!¿”½É©×:ך1éKÛÌ|Zs}lÙÆŒk—çöÕ^'mȳçIóÚ¡zÖ5/MT}jIj ÆDŠ=Çê1ŒYöè4±qøØÞmÈÏ|¾¶ã9ÒyžqBNæ¾ÜkáúÌ%Ž ó9ó ÛL¼ÂX±n°æ5þÌ£œ÷bßþÎb_§s“Tv}öÚ §´Ûê­ŠŸ%2§pþÌcŽ5ê8ï|¾Äù™»YVù1ç3Gæ'úØÜŸ°È¼Lì¦ú\m˜ÖCÛªO_W.eîçºÇt8˜°±Š‘IOý{,‡~~²öäoçgŸÙ»ÌÁνÝØÄý…k]œW,[˺Çöx«B\¦>_ÃXéºç—æ±o_çÌ3õ‰s»òSþO9‹qÌõ:§Yã—ïøsÇwòïCŸw´!þj<Ÿ™‹.µ±.I:ËÒù»kË8°/Œ+÷Cî÷™‘õ¹s9¶ðÒé$ÇLâÌıÓyº‹ïMuÆ:›ÝÉöMjOÞ¢½»éx‰s½£íÛ{ÌOšr•C9'ÇÛ'TŸ'|:þËfe7óg­ÍgìU*fŸêçµ­×Ûáò'¹ãwåßQ~·¾âSL’ó̉ſäÕ„ßý ~N:¶ÃUº¿Ò@+<¯‰kŸªGì¥öO´£ö_Ù?ñÍOÊßj?0i`®ÍÄ{eòkÒ–ÜOûº4Ç ý÷ÔçÂûÂ=úÕZÅŸ“Ft×Msp<Ú¶'sÿµ}Åq•.ÿ–iCê9ç®Un3¿øsj“¸É?ïò+ëí‹>ºï…SÚ¶®=õÙ9‡y‰s ž#ÅñcÝÝÿ±tIöIºáŽž™J:O"ÆÏ·êO\˜r†¹ÊçWä÷n×­ùTÛ.Î~·FIqL6¾8î{ÍÉë Ï\Ëש[«íB›Oùù õVÅs4ö=ÿ*¯ðÝïš]Û{Üu±vn_}›â„>*?]¸GÞIqlü^ê+á“kù®¶Lë£jnå7j«Î>Ÿ”¤Gì|ZîòáŸYþ mçøNmÖ5rýB¸PÇ÷¨«:íõ}kÕ–óšÖÉük.t®H6_];š:Îw¾ö‰–g?«±øýµšëº’8Úßù¾-ýÐåLò×Lÿ&Ž?56ו涫ÿ®ÔˆÁâSçOòBâëKm\ün󩹇ÏçOÔ­{Ì¿ÌiIçyžÖgs-]¿Ó¿}Áó¹”ë“þ0ÿ^ÛW_ø>q?µõµ”Gíó4>s¹óqªkÿÒvÖpwôd:³þNY—þÕ¥°V1KÛV<Û÷ÄÞï,?éó;mɳû¾|}ÚZ—$,_[ž“ÇÚÑÏ¥¾Wßä·»¸¦Ÿýìh¥秾­{x®”JÙ§Ó:Î}WSçÀ¸Õ†öšüNþvÞs.öYQá¡ú™òÙ§:–\™ø·ËÝþ=kÿÉ–«BNü„gYŸš9åÎò‹ó¯õµ}kýæëü¨„忲xÞŒ×íb±â€ö²®ÜÕÖû!Ÿ+T9Ã}Ú‘|Líų÷×Å(ßéLØ!;—¸OëÒý”^ê4,çmÌ3Ç%{Uº~'ïtù„öIûŸm|ÂAÖ¤é¹uâ°Ô>iÜ;m¦ûÄŸ¹©ËŸÄ÷>Åûÿˆ:·8”8¢ŽIëe:¨ îhÈÕ÷Ôç*¿Üísj·oyþ]}Û bß|Æ:Ö9Oý$%˜8smŸÛ÷÷-¯åûƉõ79Ïü”ò/Ï€Ìõ][Ÿ 3çÏÎo/åÙÄ f\ÿ±½Ï‹16ÅØâ~½›Ó]ÝÀPßO§8£~0î»ò õm'öÏÜ•8}¥Ãîž7ü£èóߥ‰óÎ3é­„©»×.Ý»«9Òž•¼Ä:å[Ÿ'Û÷Þ§Ÿ[ÿ|®Æ™ôBÚ§2¾.ÕaÝâ¯dCîoîŒÏ8e¼Û¶wú2?˜ÿŸèŸú9‹ëß·÷µÒ®\{—ìóloryŸ\’ú}„¾k®®Ç³Ú’Ül[”ï‰Éç–çOœ§xë¸!Åjõa|tñüT®žûáZ¼ï^åK¾÷÷¤¡Wìb+å¨Çönë´· ˜“mö泯‘W'ØΟú±«¿ß¨“|l~ :Žœ'è/û£øÉœÛùÜEJy€c'þe{ÛŶ!/íêë¥ï¿³$[|W/ц•k¹Ÿ}¯´Ÿ)³îOµÞŸaË»åwi>營öa½˜üdÛ%­Y?+g:¯|·øŒ‡ý¦¸*X?ù·ßæOòÉOpöÔØ~_óðïîݱ™ãš€}¤ï“˜ðÁqh›O4'y”ï)8—qlâÍçQ;ú›âŽÚËy=}?õ9éßgnðþ¦ËÇæßÎ_ÎcŽt]ç}¾ßáX¦Æôã’1è~;ÞÝõ3ÅBúhêæÚ¿uù+sÈOËwbuU «³ò31úؾâ¶8¡ã®ßQlkÔâ(jÚ.Fø÷S¨nêsâ»/“{“Æfïî·’¦}€óÆTgo®usá~–Ôû¨×è?Ú|“öMuy†cširoÂýJvNåxæÖÇöW…-ë·š m“ôÍw4çÌ|ð·äµZógÚõÝ÷éwç0ç3^§Ÿý½ò'ŸŸ×}ç?k=â™ÚÑç‰>CÛõÙ¾øÐÏœë;?N¶OëL\“®OcÞ™9(åšâð‡úr]O©y¦œŸøÇ>™ðŸêt6$Ÿ^¼¿æ”ç¨IûÔ:j_n<ü®g‡û†Ÿh俲˜óÍ)¬—ôìŸùŒá ý‘ƒYdÝjÿ ÷võ™Ú§ú]Îp=çQjèŠ;ž3qÏÆüÈ5Öý“u’Mʇ>Óÿ‰K«Oçuê«O´-ñ¼ÂyXgxÞäQûÂ9;éêk¥9¦BWŸÞ§îÛ×½ói§SétÄ*Ï¥¹s<Æ‹íA<8G9Ï¥¹}ï%÷~’gœ÷ÊvRî¨OÏżdŸðg}vN¦]‰«ôüÁý9Ÿ&L¸L9xÕîRšg²]Õ!܉sšó_âØT˜ŸêŸ°¯)ß臾wNæç«é›|ºk •ÎÅÓæÔŽS^¢V¼Ð×¾ŠÿtÏ?ÍCø ÅÁï(ÎÎ.¶Ñwø­úHçgÎûõóÆcÎòÏô·»è;®…Ï'|–¼ŠÉ²Û?’ÎïÊ_¡Ý¿SÌuÖpüßò§yiÒÖÃ]éx9µO¼8iQ®Çºß\c\;'“ÏÍ«éùð'˜Iü–¾›óN›bœ½:Iý:Îü;H>HX(;M97呤ÜU{ÏgåƒGY¿%|$ÝîücǺŒKæI÷óX_Ù€v¬qhÏ==ýé8:ð³Ö™°G}Òé!Þ7Fx}Ö@ΙåôìÓ±f šâœ÷Ø×øÿo¥³É©ÏÝ~»{×g*+Я~6öyÆ.1ÿP?Ž sì®ß½ïzÌ¥Ôo¼Ÿò„óR]Ÿ´ºùÖý0wìêƒÚñ'z¼ãëúœ¸™sÙõýÐ5jekœ”·™? ëó#æ^+}¶zFeùGÓÕÎ ?Õ¾ÖzöYù¹³É#Üïüø Ž§ç%…Éô÷w8‡ônWwÞG-_¸æ³Úk›ñâ9P»˜+ÎýäÞd7ûúÑc%š›îæ(âƒÚÒ±Ìï.Ö:Ÿç=ö·Âxâ²ñßcÌßõË®6éyw:ß:tÿqsìjŸòoú¾Òï~VJ<Ù?;¾‹qÐù4aÄß9ƥϻÚÔ˜>£õ8ŒÆv:_rþ»“èÿž/¹“çg&&gÖ²iì:©ÿ´BLÿŽÕŸäðòYŠ›šOùåÎógr‡‡‚¾c>KÑ1ÍØûnùÄŸh‹ÄóŽm_¯kÔèŒå´§ Ÿ‰æÁU.úNù«óקe×Oæâʸý$n:Ýi˽™y‘ÿ’|Ê¿MF¿'\s^܇&ŽgŸúeλ‹ò/ÇtÛµ}µ÷Ìö)K7ÖŸÅÓÎQŒaÛÍóܾڇZËöH{ï¨ öæÞûUñ`âRæ=âö¡¶+|VÞKxNZ‰óáyEÕû{áÈšs:ËëÎûÈÄ…÷‹ÏʆÄ㎾y­Ã¬íl}sçóÄ ^ªu•­¼÷~ŸXÙþ½r1ûÉ9eâ<ç¾.6è b-͇|—ø뎽S*^j~ÜûøïÉV]¯¹ËU+Þõ~+Í‹8¯y&®aLüY1{—S=Wj‚®¬ìã§Ý±Ÿr<1Êýçin$GÙäoçí«¹ÞøîñW±XcÖz˜kýŒ|ÁsŠŸâãïÖIßt¹Ãk^ý-^s!1–æX˜í´NÚ[1Ϭ0˜ðN¾dNt¾:ôó¯(îptñkùŽ<ÑqÁĵŒ)Ú&í8¿;:§Ëiž±ÃŸÄªõIñüOr±íBŽòþ²Ö³ŠUÇs ã6½Ã\μOžû®þ[êeóΤUÊ”ã梇9‰…Úß<Èþ¦ØrÎ]aî¡úÄ3ñðTÌÛÎí+&ïò<1S6ôó‚ª×áÊýOûqÏmº³Iæ³î¼l¥1>-æsÙýúù&µú¡¾î”îY,mow¼hìsÔæ}ˆAúh…Ù]}wc”ý^3á“\N›>Ôÿµ½Ÿ}±¿ç–±º‡~m‡Égí¿ry­û= çHæ¡4f¯¥5øzÅ*q:ÅqÍ{PæžÎ§Ä©±`ÛRg‘¿¾¯ŸÆZ*µ®t8Jç«)~:­p—·ìU>LZ°Ãµ1Qñãó]>«%O¥9¦ý3×k\R+ðÌãwh¬;ü_¶ª¹9êEç Ÿ!¤÷#;Î`Ü“Ë*î:ölçš[š óß/ ÇÿÚ–¸1¬sº3¸IûgÃI;$Rã‘£WÏ~¢)>á®4Wž§›o§\L®z 5æ¡qÍÝŽ™)žîè„?C+sÇbþ&×[ã¥kŸb¾°ù»1s ß”ë¨E¸F~®ºÕŸ{“[œó]üwßØ/íÛ­û@=Ž_6¬5x b²³/ýô1B_yŒ»~1Þgæ`úÃûó$íà{I¯Uìu}P³_¿bKŽ/Ÿé”O§<¿g“|F?0~OÝóg¶gž#/8N“¯w>t_¿+_XœoS¬ðŒœNÛOÅ¡ŒÃî§Ó/…¿WÓnµçêlLL’;È—)f&@Œ}Z/|š—žÓwr$Ï‹¼Nj^jDæÅß©‹ØîÒø«5çéo°P“˜× ?=ïåš^ÍgÛ3á„sdç óø®ñ¾ƒYǺûáœj^ésâëÒhÅÇÌ÷®ŸxÞþ"ÿuš´³ïw‹×Çܸ¹ó6±à6/ŒaN4?Ô=ÆÎ#ŒËñR=Öu|>Õ6é¯ã±½ãÜ1ÞÅ–Ÿq\º–òMÒO\_—m'ÖÙ·w[1_òùtÒ+U¦çµwy…këö7~ÿjâ¨âÎ.ÿßÔv®qNœ[âÛÛaL§Øéâêî÷‰yÆõÎ4~7ü…ÚÁ{²òÿ”/û3÷ÆÖOx6i'ê—´ÇþT›¤{“p™æ<å£îï)•Ïè¿KŸÉ©|7ýµ}åÆd×OlDŽ!qÕ/×ÀµtºlGûôlš¾¸«gîžÁrŽÔS~ðuî3¨™ý;ÜïúÙåO¸†9ŽùôS[¾Üñ½ã6Ú‹çD]á)·÷+®øÅ:ĸ%&ˆ1Ú?a;i'~ï´ƒceÇXé|»âؾà<*†&>Ik6ýTïòÌ/q ÏÝEæVïîâ³>{/UŸýû9ä—jŸìè<’âx×8|/Ѻ´‹»t/]ëø¹ê[;}§øL.åá竼ú~+1Žk<ï‘gßÙ»—ïÉ×ö¾¶›žc ú¤K6ºc3×ù{Ñ›äz>KàóbªbuµNÁóöÅ3ì»óýiùiì‘—¸fbfÅñŒ×OýżÅ~>‰ÑŽÏž\ë¾O»“ Ó95mìþ‰-¾cOžq1?x|ûœZuŒ'÷OœÜ‰qê¡úžüæ³åŽ[êšã‘ë!gú=¶ZÃ#Ô'æ.µ«{«ßafù{áÃU){:¯Qó­ò}ì}ÇwµAlï>ãçISZSsd<ÛnÏ3î±&Ýs†k÷ì\³Ú_¬ì_sºƒ1ÇçòÚzì~§¤sÒ.œ.]ã|kÍÞ œáçCýT,ª×éŸwtg¿I3³œ©Ï<Ïı)÷šÛ½ÿù4fùD§Ð¿“^»Ô.í˜/™oÿªBþ%‡#Ÿîc>ÉUwž§ºü4Ÿ9—ó;91Q8`Ž¥N2ؾôûµ}Å–cžãX¯1wçØŸÇ`>­ÏÝ{”«œmMIQg>5þŸ¥IhkçÓOðÅõ;ORrrlïZ£|–ö(ÖÜŒÛÞ~tÞ·¥Ý_ázÍÉù–}’Ã™Ûîð)÷ª^—cÏcx¼ŽÊŒñ3]¾êu׉¿ò]iššw÷¾µÝ‰º×öîÇÆg}{Ç>ñÜÙà'¹·ó±ã:Ù¨¸À‘ú›ln={„vÄ9‹Ü¼o_×äüÍR>`°_Í5—Â%óÿïȉ?)Üó—½oHþI\O¿wy»üÃ¥¿îè ç³»9…ºÄÜOl;¦ÿ¬¼Uc¯xí»…ù½›aØ~ªöv6öÞ¡üdwÌ‘ïÊ.i˜x ÍÉüilÖ|Ó™ ó¦ã˜¹ìÜ2gx.®_kéü6Å\ÍÍg…Ì=ôç—æm»¤üÐiûnìOâf÷«Rxâùs¢õ¨±Àú~Æ—réê¬ýnÎôö'ù‰ó+–â6ååš»÷íää”ç’jNÄŸŸ÷טÜ_°Çös&óO­ÉœÅïŒ%ÚqÅ…öèô+¹‹û(ò"c…¸Jyq*Ôí'®‘·ÌßþÌ3ú™uýŒøÚÞ}dMa\2öí¯u¼šò Û_Û;S¸ÃÇö¾nã:qtÕMÜ|ª.ϹÝÏŸQè'ú;qõ®ëî˶7gI/˜ëÒ|ݱÇ47zòP›n µÆZ÷3ôA­<ÍÏí¯-cgÅ;Æ«˜àû‹Ü#2Þ8—¤+¬î–I»ÒÆ\/íñÔøÞ¿Ñ?ä„#\#Wì¸W¶3':>áÞSãЮ´yÊ9—}P»1&¹G$g˜{»X 6­kLæ\b{Ò«ÔM)}ÂGæUœ™¸Ú¾¨ù$Lóùºúbnðy|áÖû~âœüâ0åФ ˜‡¨q¼&žÃ™‹œûØ÷/ÞLy&ù‡ùÍyõ©:Ÿ\ ýæ\ôÔ÷Žwmòcz¯¾ãsê#ÜçXÆä©:ÖxæÄ[É'Äù±òíÁÜ›žo%ž3ï– ¾ËAI£ùÙvÚÏ;'“+éþ>qX>à=^ïæí¸ºÃaŸÚÄ÷¼O¥~M}¨ïFÜÑÆïŠ;v=¿§ê—ÎiŒùjknå{:¯¦/ŸqŽ ç%÷»hœÃ fíÇq¬í©åÉùõÓç1‰‹Ì£Ö7iŽŒwrh‡ ï}µO¹ª?íoîêÚÉÞä펧8Wú“sàú¹î¤+Îp¯óóÆs>¤¯a¼”wèæ ;íÒ~“:,Í•¸u¼zÞ´ûCõØmIùwŸÜqæ¼`[²ŽµØ”ßÒZŠ«˜G’¾ æ˜Ë¨yêßœÌysç?®Ÿy²ÓGu¯ã“ŸÆ$çC­6ùË~û4W&ÞsLž}–AÛW=‘0‘bÌÜjît.01î¼u®âzÛFÒ÷N³8¯¤5Ç“MÈŒµ”ÏV}•¿hGÅsI®³Æô¾‡¹·¾§½’}åxaŸŒek«é=†„sóf—׌Á³äÔ†ëq®b<­b’ktþãuÞ#v¼æ4‡;‰sÊ7Ž]±Ò(æ±3ôa?¦˜`lxÌ«S\v¥Ë}]ö»u%¯S”=kÖ0ÖKüLÞß1>íe_–|Ÿ8È{Bê1¾«oŽ0n»$wsd[w±ØŪsá‰k]^c.·­©Ó'þ´¿x}×ýâBj0ûÎ8JÜÇ5œÛ»èÓCí¼¾dGò8Û:ö“¶XÅ—Û¥âúé\,ÙÃ1ì~ùlÅ}°ð¬†1Æ\‘Þ‡±Ntl%~­1|¶iŽsÌ<·wÎèb*ñ£¹rÒQÖna\ïÎ_ä¢)^xÝïý>š±RH}'ÍÞi„Äõgó¹ËwÅyÅ­^ ±9õqç:mB¼ò9'ýÖÁ|Æy¾¶¯~vþb 7ôëq‡X?’gk.µÏë´{Z+ë;·™×ÙÏ~û÷‘—ˆ%Ÿ§b –r°µGâ­”Ûicêë–šy2åó‚q`îéx0í5»g¨Ýyd*ä*ê'Æv—ï»xµÖ癳sï¡6]nÛUÏmŽº}45@Êæ r¨mÔq/qêµpœƒùÁs¨ñùN¼÷<ô™ã£æD{²]ºÆýµ¢ù—¶§¦àgç%Æ“ëíê±äùÚ&){ÍÆWˉG̹~>áç|†á8qNMqc^)¿–½JÃÛW\ÙI“]Þ¶MéÚÈœìœõÐ÷Ä%Õ¿ùËÚòN™´ctʽŽ·ò롟䔩ïk’}É' ¼f ÚåŠÄ›IË'Þ=ÕÅ"1À¸`NMãv{ß'yÿZczŸÇùvd.$6YgÇg¨OÜwç$æåOKÒ´÷I)O¦øLØIùéÒgbšk2^<Ö½Wkar{çHú)Å“9›yÔ¸¡V$nl Û’66ÍyŸp­ûîòcâ¯Z+µeòUõo_ЇοƘù"áÁ×os’yÓü“öÿ• ;Mœšò}W'ÍÑm<÷Ur1IÛ$íÈ}0í|m½Ý‰ ïs&ßt>öÞb²]ÊcÆnÒÝÞû›ïÏæšcœïkXŸê?áþÓøí88uœ:‡yë}â|êÊÂŒuCâ%båؾ®×XŒ5ŽÉý­µ¹‘ÚŽíìï·ÈýÜkU=ö[óäïm]Û×y¦óKsy·'è|=ÅBŠç[Æ µœ÷¼^6HïE±®ßS¨}çS߉£çö®ËS>èÊwõOù.q5ýH\×}┼•ž1w¾tŽOuÈ«OŒŸôP—Ó¬5ô_m©O“tÞþÄîÎŽoÛhÊ™ÎUŒ-Öã9ƒ÷qU·;ÇMz—v³¯¼Ÿvžî´AwŸ…qC¬–Ìñ“íX—\êñ;þXišnMì›}ñ|ˆ¾5v&n佄ßÄÑwy%­Ésã;4Ž¿ßÊÏO]¯>|?iUî­­Q®Ïϸ^ÀüO®¶>p!'y?å÷ŒRé¸ööþÅ\8”ëãÚ˜'ùûnö#µP§}É]5>ãÇÚÕ~!1G% Ôüh/óûtý ?»ø´n#V<ïCu·‘»}íRηæ8úмFÆù'î#fºuÝå5êH¾ÏÍø0FSŒ&,UßÝ9cÒeŸj&ÖsŸæd^'¶¬“Ó˜ŽÝnþés+ sIÇ™ãÎ֭ɯ>«ä:ÊǶWâ².‡%¼“sª°/òÅ¡úä(s£±Èøö9ë#Œ4Œcpã9^çx¦b?Ö:üû£‰‰c-Íë¹õ~hü}Ë~Jþ3ž™ÏÉ·‰‹ïðÁü¹Âc-Ðn)ƺ=_‡‹š›÷¾+õç5¥ñÏík\:s¥8'ó¨cèDÚ“ç6‰§™'hÿNS|·ü<ïuU̘›“žM±áߟdŒ¤¼bvü©þ-Ÿtëp¾Hþ2ÿ™ëv}ê§íÁußÍQ)ß0þùþ¦9,ù˜gŒÞ Û)w‹ÎÛÄ‘ß·¼ÃOÉ'Ëó¥Ÿ9wÆÛC×ÉÕIcÑGæCâ˜zߘç˜äyêvæ÷úK{\ç"—¤_Ìë…á)¾¸G<í›Ì{œ+s`Ê1äᎡûü3¸“þ&ÇqM霆šðNážßëçü_Û»-ÿÖ¹£üe.'‡Ô}?‹å9ë“/'ýM=gœš[é#ÚøÂX´ û·L\Ÿ8vjã}g‡õ.½fîu«ßÂOÕ7çX3ÿ´i‹tÖ|6ãû¼ÆØæ}ÿ, žhK®µ°Žåœë»ý”rÓ…±ÒûÄĽ1F9¿t¹±ÖøÆQÿP[ö•rŸ™ÜÙ»Üå€;ý|Ú§‹ù ÊKß˦—Úþ$’k{ê:÷»ÌÎ#]®ð\:›'¬öˆÍê0ßõѪNÒŸeâÒ¼Ï"ïXk=¶÷ôÚÙÞ˜!÷$Nc|Q“#¹/85>í@ža\îCè+¯›zÑzÏþ =¨—¾Ã×æ^b‰6"w^úÎy9Θw]¿Ð†{1Öá>¨Û—9VR®ÿ„ƒ&Íɸñ~jzÙqÏwø‘ëu¼ðºíôT}óP§WÍuŒŸêË8²ž©qN'¸N~×NÜOStëòZ裗úgÎ6—“o¨…¬É«®5¤cÑùßvh|ò®9êÒx ›ŒýZƒ÷´]\—ˆÆ•mþÞb1×xýg¸FŽa_äí¤Èí‰ßÍᎷŽÃ>ÑVi¾Ì“äeúÏíÈ秮¯b‹Z”óð<ù¼“ÜIl[3ÿR˜[È…Þï'ÄóŸ‰ôCÂqíg?“ÚÂ:vâ|çKæÑò·yœ8çþ‚÷CS¾únŒræ?w7†ŽíÝ¿ìÃq·£_®™œHŽóùeÊÞCïÛ×ç÷ò­y×…sâÏWß¾Æï¹õþ0ç<Ð㌹:ùÿÙæî»°Æ\Åø¯û~ŸÊ¹ñ…öεÄǧ¼á<Éõuçh.)çVá;éïÊN“®wÛO¶÷…öi¯Ä}"ca•îp³s°ã•6÷ùÆÄ+>cn«þ¨ èOÛß1}`8×4ž}ïg¦äoΉüŸâ½°ÊøsÛªc½â¸cìPÃq´mcèsKãÂö¥ý¬Á[¡.8‡2'¤Þ'<Ôãçmÿ[œyù™ý¦ç®ÔÞWY{ŸjS8!F™÷‰Usl÷¼Ï>`¼ñ,‘qF;³_käïh‘ÄSI«ÓžhÊS—x=äbëb‹1OŽc¾±þ7G9ñ¾×™´}⤄mjâ>§¾åZ1óópŠï/ˆyÆ0ùÁ19­—M6M>I\JÞ²®wžö c>ÿà܉qjpc˜üä’âÔyžØåwêëCbû¡ûÕ?5ƒù‹¶wn$>x^ì³bc™¾ôš±Ì1¨é©áºœçëÎ_Æšó"9'íYÒ>îÚ¾®-¨kN©¹‘3©y­µ¯­·wïüa]ÂñˆuŽÁõ[k¤}­¹‚üç\™òÇ,;З)¾¬ñÓ¾„‹8²¶±­‰IÆû$¶ibœEÛ81ïp³oÚ<éNÆ9µ€ñÞñ`Ç¿IË™_Í¿ÄuŠ;^Kù†Xgî!OX'3:ÖŒoÆ#ãɱJîçO¤'lO|zŸêµÓ§uŸœN›9Ÿº­Ÿæ6bè±½ûÌñY}“/i's8uÆ®¾§Ø Ý1ê|“´}üT{ÆœsóV˜ó ý霓ŠÏUÊÞ<5†­u8†Ïω“ĵ\oáƒ6µ^dŽe…S?¿°í|f•r÷'Ì{ÎïÖæöC^<4–uõ1á3Æcžë'–Œ úÌç 'ÆL{ÛÂg8‡ú¨yðü9åZûéNÞb Ï¸Nïk©ÙÌ{Þ'2Oá'ñ¸€|Âxã¼|Þ`¾Jû*㟟­;ÌU ö£ó´µ÷n¼îóÆ‘y×Ú‡m­Á*.:}å\FýÁsqÖ'Ç¥ý–µë1×9ß%î%·úüx…uÎ'iTçÛ5]w[c»æéój°'ú'g0FSneÿS>PÏX²Ï­ÛžÛ:Îç7©ê ã–úŠ÷ÈÌ)Ä õ ÏÌ;ÎœmbÓÏô!yŸ:ÉüÃuqîälj3§}Œyç çTæ4¯™±á=}ñ÷&ÞÔˆw®5i_âü©kæaÚ”{8Û0åê!ÆWŠ±š£m`9ž8sÆÃS㤷>¶«ÏÄ-¼f¿1VØWÒª)>hr|â`ÚıoÝ`®d®¨ú>¢/yÕÅ@šãS÷jÞÞ'3¬—‰§Š'ú‚9Â>:ô™1é3CÚûÐOê.oxi}[kqë?Æ c–zÍýðäDÝÄe檩œª›ÎG‰AãÒ{Gk9r]Ê•´+mÖñ!Dz63'ÖÏNC9¶96çÌóVëÆ5A²?cË|g¼PxnÉ×\£yÝÚ›xçØOÒ‡ÖÞö»}y†6SÖ…É/IO:/á¹X×0?­b¨;OK9hÕýC~w~6ǧþŒ!rú®1.´¡;ž'Çñg¯ƒºƒÜÁØp Ðç\/yÖ±ïù›ƒ¬íÌ/ŒWÇó6ã‘ã$NœüÿP?ÔAÔñêÿñ½rfçÿOÌYÖ/ÌÍŒ ãÁ}WŽSú,áqé¼íÜÈó ÎÃØ4žlë>Ï™yÖs$‡LüScqÿt„qhçyzNôoÊÑ~?Îúã¡úŽÇ´ó cœv7ßPSš£Ra?Äíëb Qm™ÓÉñÖw|ç…¾¥–O¹fÛçQÖÂÄWõ›xÚ1rª½¹¼âÇûç@çYÏÓë&÷2ïzA.'Nȹݙ[§#¼é´1L½èyÑfuÏï2{Otª¹œ1Ä°6äóCçžQT]ú•¼O.gŒÃœ«ó1Í÷€Í ÄÄC…q`üXkO>_8ÕoÒ%ô¹u@Ê]æ$âÞ:Ÿ©»Íg¬ÇœÅ5ûÉ'ÄñʸçØô3uÃÙŒAÿ1vÍ1¶™‹÷‘ÔÄ/u)÷>œ;1èñ‰§¤ï\'í–r´y„<@^­bŒgä­.ÿ3vˆwç@Ú5­!içw_ãض?qIpþµN>sb Ñ–“?È™^ûSc°X£¦Üø€i[ë/®ÙþM˜OgŽ'ž÷¥Ïä\ê.çòJÒk&Jålúw>K{sb‚qO|V½~RgxßC\t¸åüÍÕô£ Çp.:4ö¡þ¹vîe˜ˆSr˜çln¸TÏû@çpbÆû߇ú¢íhÆ8µ!ç±îJû%ŽË£=#Ûájú¦_Çu\oè8Ö¼‘ò›÷2æ6óŒùÇ{Ꞥi“®yïæ8æwaœŽw«5‡qÊ8¢ ¬;9¦õXçcã€ú'齉÷:Žü£¤ß©£­‰Äìr˜stúÌyðzõeßq\ÎéÆgî$¶É…¼fl{-i¾ô³±bžIýÓFŒö[ZŒx ÿyîŒSÆÇœtÃ3|NºÔ„ØàwÚ‚Úà¾É!¶1mB_0_XßÚ'/ôÍýdŠ£´—êøÑþ·V7_û31ïXO6qŒc‚>6ߧ½ç`ý›ò+ûI\I_Ñ.iÏ‘4Oµe¼™³­·\|=éˆé§Û§ïI'Oö±÷)—3GRg[Ž3ã†û•×–qhûû:ñA®dÎóººüã¼MŒºçXöËû 7Îí)®R>pŽraL˜ëÈÇž«sÍSã‘“ïöðÓx3NÝžëd^£ 3ü]ÿc“MüE¿°û8åäçöu]e3¿Cq¨m­‹vçÚ˜'wƼõ‡ín.S÷®p¯üaKî|nïþò¿ãµ;œxç³ñD;»ü=À”ŸºF¬×ÚxS8+\˜g9kÚ¼^cЇÔ—îS³™_öí«Rî ÿ9kuÚ˜øI|žrÓ©>»¼Üéæ¯É\g® ‡zþŽÿ¾(¹Í˜b^¡ ç1®û]œ3³MŠóC÷éÓÆ&¯X ó/b,éž]ŸÓ~4éÆYÊYŒ5Æ9ýÞéZ#9¹ãÇŽ3™‹¿“ÖM{6çQÖñü×{ûÿç_?ÿ·ÿ6Îøãúÿ¹>ü_êÃWþûúð­ÿC}ø¿ýÿº;ª»ýßn¼þù_þó?ýË?ýçûúüÿãú_ÿù_þõÓÿñ¯•ÿ›mûßÿ7Ì·pZþô»ôI›<¶w_¤¼]±á8˜ õ}“ÎKhsëø'Þ÷y½ÿé]À´ï¯RXx…ë¶ 9¨Ó˜¶ý1ˆGó¢ÇØußï~8®ÿæÇK}P×$»/ù’š©æÌßµásòZZSõE›“Rý.ÿtþ ¯¨[“~c~¢Æ$?¥q~¡Þ ?¼B?ÌÉ)ìè“X¯ñmï¦;{âY]gs(Ç &‰Ç’úÊñâu%{V¿àÏÕ¹§ú¶:,Wĵ¹ÉÚš¸"ö“]_ê‡öðÞƒöu>´©¼Îïã¨ãüš›mç˜,ü“;8±ÛÅkÒSéü©0H.I};Œ?ú™6O>¨µu¶Lœå\5ͭÙ¹ø¾3Îœÿ¹'àšœÏêÓ¿ß\u_ïD{Ÿ$Þ n¡íêùÇk=›1j~ămœø2qƒã€8I…u©œ7ˆï—úßuÏgSË|ÅqiÛâ›tnÁ ŽNø´Ý¬§Í>¬v¿B_)Oоiîœ7çi½éu™ëºx´.$æ¦ýŠ9Óü^¶3?Zy­¼Çs@óµsõ·¼Æc>ö\_êŸÜé¹uÚÈó¶É<ãû§'~2Fhwæ²_¸V~ÿ…u§s=âp:ï%ŸNœÎÏi_Óq½u¿{ßd·þ¤o8¯_[Æ°ùŠï0üÚÞ9×kÛ5^Â×â|KLvz¦ÓZÔ Õg1ý}úÜ{^ŸG—ßy¾CŽ=ï© 9FZW§ èÿổ1䵪ï\äuwù.q@ZËÄg‰#S‰ú6õKìM$aôT[æ~E>¢M¿ ÷ä|s8ÿ>B²•ó©çùëß ÏûØöýû³s y¢ÎHh‡„?rµ÷6>? ßk Úkf^ãÏÊ/ŸÌWÖ;Ä’1°ÓQŽ7js{·ûñ8gÆ#ã>Í5ŸjÃyp-|6å5=ÕóYÊ[ΫŽç©ŽÏÃÇ]\7ãÞøú¥~ŒùnOZý»¨Ql˱<7rÏ¢™Ë­•‰cc(ñHâ¥Äö?ãŽçŽaónÂ+ùÇg •¨Ós“]팑§æ ¿s°‡1˜ÓÈOæNÎqÉ1yŽ›rHÒ æ6ÆJâ!ë;9ÀýùÃØ䜜ÇÍéåWû¼î8¡–K¹¯î‡ô¯ñ²«nʽärr]Š÷„urqâçS}Û‡Ž9ó‹ßDz¶¨qa,rEÂñcŽ:1žó{Â~çOƧmèÜÇu§3FžGVlqÁŒGÆ´óƒù¡êû9G­aW]窄)®3ÅrÕá¾²°WúÓqPûLr•Ï‰’ìSsˆÛ¤÷ç¶KñKÇÐŇã/ù=å˜Ä©Æ-}DŸ·îËï/¤së-sRõýÜÞíà9:‡ðˆmÌkö]Å¿§³=Û=á’?™»‰[ÚÝØ£f$>87MÜðÝ£‡Ææ\mË®Ÿó|ñ ßáÂJÍÍgóä_æ`b—<í¢N7R~ëbiš?íà5ÕØ>S3¾¨¥ˆoãÎï8Ùï569ï }Nζ]jÜ:/⾚˜õ˜>÷N¶óù&±Àüoÿp®Ž«.'wÇ9§L\Îxt±æ6ÇrÝÞo™[Œâ#é–NK×i)çªï\dß’Ò™"c‘gh]¾%W±s!û/<ÚäóíÅó ®ßç@>ϯz<¯îâüÒ¸Ä_Ù‘çÀœ?ýM[64.·uqáá\ù¡Ï¬¹Fû¹lgmÄœAìTŽæ™wŠÕCcÇ2¾[Äí^ëq®péx+ÍcU¾´‹×SnIÜåç§úIš¦ìD.ó>ìP½Â(ût;?G1ÞËî.õ\«âÄcx.µ¶—Æ ÿ›i7ú–9̹ÍZÂØfú3ñ£9”g|)8o8~C‰˜gºoHï30ߥcN­:é<˜ÏÄÒy;c=i4ë1c™k Þ'<>ûáù&õ«ß—Nþ'öãwEMR¾á³çFž#o‰-k#çò”‹È éÝ,ã¤ld^ò܈¡×ê,Þ|ægÎÌÕ~öc;¶wßrlŸqíǹ†œdîg¾÷9¡5FÊÖ(‰ó<ý“4@ÇÍ~ŸÏv²M9‡i)ÿRŸ—eKÖsÜ'><ÔOc·pš|A[¥|ìÉ3ÙŠýo[zM´+µ ÇášÈY]¾&“‰hïG/år–ýÌyñw2\—¼æ÷ˆÛ|Ïyõ uvŒ[ÜïùÓ^ö»ý˜Îªö0¦c.q!cƹ²Ó„~vl_Ú¯ÉF)v8/ÚÅÏ[*gÕ5Û£~û<ÀÜ@¿þÒÏ)ž©’ÆðZ8.Ï™ö¦­9•œçfN¤ê,‹~ó3ºÎäŒ.›+ˆA¯™kg¢vr;ÆšñCúü%µqÜÕŸyÌñO®¡_mGãÆZ Ù‡…±Ÿt13ÅŸía,•?lçfk7~g®©¹ò\Áüaþ·Ÿ©ŸÙc,Ç?´9Äv(,v}¾P/éöÁ91Ÿ¤œíØp]r9ŒÚÒýrnĤsŠóü cškVX­ù™xŸyö¥ïŽ¿¤{Ì;ç–}Å1SŽê4D§1XìÿN“ï }Ýù·ì_{¿ŸG¬'ßR·¦±¨oŒC¾SÌwZWê:v:œT«œß÷ä¼:î ïS^ïîw^¤»õ0~8çòËKý'ܱ¯ÂÏÊÆNyÏ~7&=–¼æOnOÜýT?5.ùÊ~HÚ“œá=3ñMŽq^ß·¯û|Ç¿õfÂm˜x(aÙ×úìñ£¾_ñÀ~’6"'Zr^|w…Ú«~~Êqwø/Õ…k{èk,Lx}õ¹8'í©SŽæþ-Kåg/Äõžµ‹ÇJïgTÜQ39WÑ6Ô7ÖÆio`¤¸0v½ÞŽ»Ý–¶'_t±Òc®v¬øoJpÌKÎgî\ìg¶u½qP? óã×óëìOmÍ›8õØÞýÒí‘»¸ØÕGá–ß]—vLs90–çÎD¸~ê‘.Z+R_Ќò+çê~g0Æ©/+©ty Û”Ün¼V}ÿŽƒý˜xšœv¨žµ°ð9ïûNûö¡1ó“¿½/½Oæ¿Še^Kïíy^>›¾[RîJñ9­sà5îhSçº:‡1†É]iôWzßÍÏóë,Ÿ~¯yk¼îB^O±Pz§Ãâ —ô÷+?䶔ƒkNeë}wü™pég|Ý:’o*5/>#HíÊþ´yØsa³Þ½Ã‡7N˜O¾!WÚ6Ü w>íÆ26;þal­ ÷;eÓôÞ_ẳǦétc0íµÙ¦[·ë%áŽ÷yS×}¦‘Úo•/ù¾úŸÝ¾Ãyèn1½ÆîL4qVšÓ¯í]vg%IÏ°o’ïX/Ù£Óq)¾Íç.Ž&»Ÿæ‰d¿‹Þ§™+XÈ;Þ{«ç%_óû”Ëo´Awoê+Õ­¾¸é0ÕÙ)­kò}›ìÚålæÝIOØ?Œ?žû™ók^~B ûܼ“üÙÅQÙ›:–1i®®>Žð¹ô¶÷SÖºX[ù·æF}Xödù®“»¬Û»Xðìüà½Çììï>¯í«îëó¨ñxª~éÿt&ïõtãvñ6å²Uü{ì“Ü`NJœ`>òÙTÂwšß´ÞNk¸®÷ÉF\[Âa‡“Uáú§ûw®§ýWšSZÅÁJ»¤qÍgômÚÓØ–‡®1.;s>ÔÝù+çýý×ïg×ßñ§qèØeße+ž ëç|vJÿ%ßUÛ—JÕçƾmlÛ'þ3ç¡OÛ6Á5§ggé{âæ¾_xi,ãÅ|Ú³ªg{tñ™øãOÐ×IJǤÿülûØÖ9¯Ãª÷&ÖØçöu)†íÿ4‡Ä!Žs×0åŠê3ýÞWz¦å=|:Gþ…ëéì´úaÎìrñh›36hOëPóò¤m&Λr¢1ÙÙ}řݼÏUoõwfº1üî ñÅûéçµ½û-ñnâsû2Ùe²mܽϑΠÍ-Ü?1×Û×ÎØïrAÇswý›âÇöáÜ8_sµ€cÃJ?'¶H…y#q›5}šû*FÌ}Å/οUxïµ9_{œ 7ÆŽýN™ž‡LXð\º=»u_Ú'ug³Œq>[]a—ïüwv§Vëòhçë)¶˜{Òs¡ÔŸñSë÷wÿ-YÛúÜÞùÜi>ít¬û$rö_ÂJ²;ýžÌí5se÷ž~²aÒåäüdÇn¿~‡kîàÔ1kýÓ­ í²ÂñâçAæ÷n§&Ûݱ×f-fì§Ø²/;?î¡_Ï©Ë/~†Çùܱ½m}©¯]}^Í=¾—æ5$MÙÍÑqä{Æmçßt~oÿ¯žN1Wuü¾*×K_™'S1øÜ¢â³>Wÿ0^çkr çù m;<&ž3oxÏ”bÁqŸüœ°ßáÅטoº¿[ÓñDò§û\ŸÖ_ç-Å)wp–0:­Ã1gŒk®[ýMïkzÎ<›?Ô缊_ÖI\‘êzÎwx¯‹Ž•ÞÁg®-çJû;f'|w ÙyŠƒ4‡;¥æ×ñ®ç2a‚óMöuž&¿Ñî•óù¬Ý»ÈÏ|véüL?p<¾?“ìc<óçê=Ê”ƒj?B<%n4ïÚ^‰cè³.O¥ê1–;ŽJcS?$œÙª1»÷ÅØߥû)?O˜°ñŸ'l§8°Í;MÎ{æS}qý霡[»9ãÆLñÌ<œžctc'žêñÞ„ù.·§qu­{–Ö´ªgÞ5~»ßWó»U ?§ê®l0ù›þ‰L¶Hû÷{Û¦¿ØÇã8îýnQúÝÜŽ'ëo¼ñùílºo_çÐÅ|âdÛ„g];cêTU/åï®Ï©Üáº.¶¦q§ëŽõÕŒ¿Õ<™• Ès©_êÝ´þ„mÛíÓóˆî|¼ãUb úáß@#Ó¾»³U‡'?¿»ƒ®’ gÉïŒËä/î;;ÒW^“y¨®§w/Ì!ÖWÅy8iB×eÿŇ“¦d»_ºF»~Â%wÞ îxƒ6?ÔÖ8ëx%ÙØû#.›<õÝg» ³•;8wûßmïœIt1ÕÅ~—ïrÐÝqSÚ~/„ã9NºýWZ¯ýy‡ƒºxü$.iïšÇô;=?nmƒT7a/iÎä:í×Í+Í󎽓M#ö§÷¸Sœû³ÞÎ~?)¯ðÙyfU\wÉŽÕy»ó]âAÚ´ã^çó*æ’ÎÆ|æßØç72®êõÒ]Oœ3íE“:½—ü¸òoÇ[œ£Ÿ_2çw~uܧ÷ÂV•|7ÕóÙéN0¦R.ð<ºw»ý·'VüE_vü`¬ø}Àk«¼Ä˜õýÎÞwø£âÅ{ëÔ¯ÿÆÜ4~‡ït¶éw«Sá3"ÛÁÏü¼‹k—ÄWÇÐקɆÓÙF—¿\ÒÞý½I?Þ‰/×!~»¯1& ™ìÑ}ïbËuœ·Îæó?º\ÐÅ!¿O¼±Òï +é<:µuêΨw˜?¼¶Ä›i«zéLÐ8¯z>ÓœžÓ•:~¨zþ{žkúÛ“+\­°lûtZOgjSü¥ØHêwÓý~ÓäË4„Íéy˜Ï•&[M<ìq­wR<¿«6wöù‰Óº:ƺs³±•8éκ»{)g^º?­+ÍeŠmså¯0Îʦiü„ã4®17ÙlÒšŽb×ïw\ØaÞý£+L¥>ìoâ7q[§ÉÒþË|åû¶Ó¶Ÿ–ξŸb7­uÒòg¤zÝùÜ#ÝxÄÐtîÇ6Æ÷±ÆW7WÛ×wÖ¶Oï ú³ÿUõåç(æ¼iýwÖ@¿$îš0”b¶ã‰Cã¹ÎwIÿpÝ)g¬¸ò ×¼ÆN³]ÚÐoÉž[ê³ÛKÜ™µœñ—lÚa«î¥} qëøLœlD~©¹²Nú{³ß)ÆJëOº”gÚwìŸp—4Œû0¹Ç™u๽¿Wïß¿[áp…·´~Ž·Š¥Äµ‡¸¤<š¾'ªy]ú¼²·í”ö=öÇ £Æ±ûI~°]Ïí÷¦wûªó7µŽs¿ŸÉSuÿw&••O“Ò5¾G$»Ò†wòRµ÷;ö;ù/Õ™øÁXOϸ®4†çO?ÚÞö™ët{s>;æ¼üûÉœ‹c?Ù¸ÆLø.»§1¸Îô·¼Î SÖì‡NëþýwèVqÐÙ¦Ã0cz…¯„¡úYsã¹ë§1¼_[á›ëJÚ%é Ï—~LíÍIÝßÌ3s®éokt|>åCç“sûš[ì ãÖ6_]¯~¬)9Wó×llÙn^ÇÊi­U<æÝ}l—ÇF'N%ñ›õÙ´Çð»±´Z/'Ž2×'wgj|Þ}·]̦{éù™mo»úÌxÒ½Ö_ܳ¬ø|ß2SžtûäŸM'îèpH?¹î×ùÿЧ>_¾Î=Q÷{ð'î§8±ï»ò<“î°?*7&\tº¸ó/‹ÿæšã„KÆ—cƒçìݸ +¥EÒ>²ÃxžŸÏÓkÌô|ƒý¤œž|J _<’òýƽ›¯¥õO6¡n4‡rœ‡ú[ù¥æžðÒá†sM8"?%wñUóœÆír݇éúÄõ]û.î¦úÞ[t:ßÜìuÕÙ„‘8v\®â¾êV»´—»šÏ«Bÿ¦ðzêÉö©®9µó˧kåÙÆú5‡ô&Xº¿±±*ÜOt}'¾p¼1W¹_®¯æZg6ŽŸ„Õƒ´{â‚ÄG]ßÆŽ‡lßî5'ß­|ï9M\‘üê5Ü=ó¸sß±åx¬ï|¿ÆýØÞ‹Ó‡¬ë9pì„É#ôáy$Lw9qâ+bºã:ÿýªÉæÝÙ^òIWǯÃFZ'1¾úÛ|·Ã¾úã>ÿ¦šû²Žœ4xŠ¯=á׉¹d/~÷ÿmL¶­y§ßý¹tÿÒuòbÇÄԹͶ0~ëš÷Ÿžºèq9ïnþåo®7å¬.“ß¼6犄á4¯4ŸÔgÂï§ßã›ð75N9®‹õ»¹‘ï$x)öý==Gr^ëÆNÅ{5ï/Í)§œè¾}öçqS\'¬¤­õ˜Œ¥Õß'JœêÂXá;F[ýÝΟÍù7álÂOÂWÒì‰Ó–S›î<ˆ¼Êõ8ö*.¼·_í7'Ì9¾ÌæWû„šÒ¶1·;—§ðïÝus™8ùn|³Mwæåßí42Ï |—°“Ö±âè•o9fâÈ®=mmŸuãø¹1ÕÅr—W§õx^y$åªä‡Žª.µŸgÿÂ5þÑ4וŸ8®·{'¢ûý,·Iç+Ö5Þ{¥Ø·RÎa5Ç„Wû¾‹7êâŒmÍÿw±“b×Í þyǧ)öÒ|’Ö1Œqk}6×íçin«½xÑ=òxiœn®ôÏÄéuæËñÒßiêb-iÛfÊ ]é0mûútÍñ˜Æìî9§;o¥½mâXètè'åºQX—\a\ÔÚÓû¢)¿¦¾ëó³—¶íø*ýÏÙçg¨[×i¼;¹2í!îίÆI¿Kêº+ì'Ü:¦Óþ!íy¦˜^ź5g?‰¸nŸ›%’ÿÓ¦3³OÞqI|DûßáÞ.¦9¿?Êê÷ë¼îòRç[ÇŒ÷Ô sœ‡ë&|˜Ïü·[mÚ¢;cã5ÎÃqn¬ÜÏÎ7ü^Ü“ôú]žx2ñráØ9Åñh?§9¦X°þä:ýÓùμlMµë§íßá‰÷»3稄ó.®ioŸUÐ&‰ïý¼Ó¹5OâÛ¾HÞaóØÞ5!çç6\Ë…ñ§ß éæÒi|ïÇïÄŸ}’Þ1N¾}è;טþw¹±âØJþ­ûI“$ xMéy«×ž4ª1Ç÷a[~?f‹cÔX›8«ã ÇŸ9-qmëß]¯¿åã\îytzÒ?è©:ôO§µ:_áž?w¼bû³­ùŒu c¤Ókßx¿ÖÏ÷°8—Ž¿¼Wá=kïΆIøÿ‘؆|^h~2V¬ã£ çÖTŽ“—Æv,óo›#Ò>µö@ÆQÚWsýæ½ bnNqžHøJ1š°Gl$l÷ÆTŠ=×MØO1Ù•”‹ÓšGðnNÖÿr>¿šïæ鞟7³®ýÉ÷œï´èlÝ­™šúܾÆ9網û¡}ÈeÆÒÄ£äNc‘¶cL:’kíø)iɧöãÒû#ç%ó[Š³êÓÿïvb?a‹\jîÏöKb_;f:]Ðí5RnôYÈ®q×ß}ï.6ÅCgo¿wQóîþó¡ûœ#ý@Îð¾Îñy©î¡vô±ß{æýt–“°å¶¶é®zÔ—Ÿp}0ñcÚ·uSÓ×/Ò–ö™ÿ”9øq¬¤ù3绿§ÚvvªºI'qiÍÆñn»ï+i³o>s¶½^ÛëõþÄ\”´Yš+m[sã»àöÉ„ÑšÓK×Ì5ž;íîß»©z)ouZò'¥ÃNŠ§Ä{Ÿôq'Ι«|==ß-ŒXXߙǺœ–´žmÖé¦n‰cRœùgŠss©±ê¼b;ûëré '­‡õµíìP1Wõ»÷˜þ:»w|깧3?æ¤Ò¨ÓÞmŠŸ”ãjä8ÎX3/²ß´³='º uYW7Åýᘠ¯&_\Øwæνûü®–æÚÒÿMsáÿS³æ,;8®»¹%­—´RÕå;)æ&æ ÚËg•sŒûÖùß÷­ƒè㳫c|'ìlç¼i^î´Qòi‡›G踦ö³¯îâ/é…4ÿ.ÏÖœê÷Û¼âÑý‘»yÏßîð!±•|YsâßöZS¾µ–KÚ”WþyjÜ”““/Ó³‰²£5JÊ»´E7÷´NÚ#é0Îe…möÍ¿žö¥©0O¥ø¾T—mʆUR,& bîH6IzÀXLXr<ìÛûhçô{äfê‡ô¿»8<·¯o—yÝu¯íëû0Æ'}Pk©¹š/ŒÕ;Ý~¥ã¨dï]õWºã†„99Åÿ¶©×à³ó‡?;~9bªæ”þ¾´Ÿãýñ™ûøζċã#åÖ£­¨e8ŸÉO‰£»üËÏÞ÷—úO<ãöw1Ä’ÎCÌÍÖRÝÙ ïW;¾Ó“ÎÉ‘ÄF­ýúñ˜æ¿²Í¯pmU¦}c²¯}–öËö;}Jeœ%;›7“O»¹ZOÔ¿¶wœr5ñíglÌcæ™Ä©ìÓX|èû%ÎS~¯ø?›6Ö-æÿ‡îsü4ÿ4Nò»9(½[s`¬âej…¤+ì—î³9dâ£ä3ÿž^ÕÙÕ†9Ÿ}NyÍvê0{` ¯É2–ŒAÇ­±mýBΩµz)wZ×°/æ„k{Ï榎_=vÚC¥|mÎ0oÓu=å;öçÜ,Ž9¿#¿ësÕý…±ìç¤A<×t&H<¥Üab Ñq¿Ÿw$»;Ʀy`Åý_ïa<Ο\“xžqìñ­ÕºXHÚ‚x¬~ècë§s{Ç ýÁÿµÀ˜q>®±mïsu©Xgî"oT|Xw²bž¸úµe;t\Íü˜â#q5±K;2þìsç žt/Úß9ÓçV‰C8”ãŒëNK°~ÝçZã)&¬Ûžè§{³Ã›¿»ç^ï1ÙŸÖÎþ;æóò¡÷¶ÆvòsQâÁÔwâ5Ç\í%Œ/b˹Ÿ}§Òqœ±Ä¾8Ú»ãÛ#Ô#nˆ;b†·* O´]â Ƶ±L›ð\ͼ—0¶Â­9ƳÞs¥¾7֧ߛ, iÌÞµ§¹³ãš¤mÍÇ]Ž³;|Úæ s¾ó™Ò¹}Å~ÒÏþÿÖ-Ö=æPç6ΉÿoζL8>õ“ã0v’»šïÆf‡gë ò뷶ˡ{Ÿã™i£ÄUŒYã,ÅFùRuÏç~×\ÆüÑùÈëßÕö ?+Oqþ‰S;Ü'îMq잻÷‘’ßé®{òÉÆJóªûÖ°)—&Ü$ÍR?m·¤§Œoó5×P~6¦·¬Ïµ§¸q4û$a7µÝ·wûýQ—gúžû¡±œë<†u­ýÎ{ÖÃÔ–îÓšŸüÙí­YÒßv7wýÚÞß±0ï¤y˜ëºüb GĈó1á¸ç¾.å‚/\û{lïÏÇó„Mbˆ:Ë|ø:á€ßé‡cûêâÀù‰ö±)Ró%MÂyuç|GϹÙïì\Ûû{“>çO~7áZâûÐ}×Üéos²ùœ>ßõ9iŠ4î©ñxýܾâ/åFÚÊï#Ì­ü]¿„?óc+å@ç‡NQ—òo­¥¼eÎ;B½ŠÓ§úçyä…ï>ãsI<áëæQçPcçи¼N®·Í{‰ùû­õ“¿ûDîqµ6qœÖ˜ÄvÝKùÛÿıÊ߿✟;7:ž¹^ë þ´ÝÙO§7’öNØ3ç’¿ø>ˆíNî,ÿÛ¯äsíä= ˾ý×÷çÒÞ/áß^1K<” R 8¾)8÷˜‹SޤțÖ9§>' Í=sÂ2íX6xá>çOš/‡2æì«Ä±\ÿCõè þ~u9ýfÞì¾[ì¡Þ«©K{“ƒæèó°íÆŸe ®Í9ÎzǺ˜“|èœm¿¤u±slÊ55æCu‰As¸¹Ày³xÚ:…ÿãä×öu]Þç_=®9Áü™0@9±ÿêë×öŽ÷ýÒOŽå½Á”{ÝwÒòäæ‘Kc§ø5÷x=IÇÕºü¹â<ý  ò-ýFnñþ†¾w®÷ß¡Íè3ÛÜkº¶÷XuÜ%ÛÛ–¿0.sP²¿ñL |„ñ­ãSß]!FSŸìÛû¾?KÎâOÆYù5åtç8kŠ*þ[ÕŒ Ú߶K¿wkàøÖPæŽÄ›>—àZoÔüŽ#ë%ŽUØyèó×Â9“Ik“«_æê§Æ$ÖÉiŒsωqûÚÞŸ'YÓV?ö“9ɶgìÙÆ´Š Æò¯Ð?qb-a¬$î íK™ëèã£Æåõ¶ô»¥é÷O¹F÷El%­‘4–¹¢Ëĸyš9ÙZÆë÷˜i<¿ÇF?x⟩ê/åá]ý¦B,%îql¥ðìûOõïüm<¿¶¯s¨5ûýÛÎøá˜ÉVŽesçÆ86Ÿreÿ'zÎæb³ê³o¯kÜ1Ƶ`Ç;ij1Ä:æhⒼξŠ¦½#ãŽùïP³Õ½ÄëÄPÒa© ÛÑÎI¸ÚÖüa~±¦rŒÙ×^‡cËïú<¶lgÇ`ÚËÚæÆ'c’ù i&k%~6&iפÌ+ëh®û<"áÇùÂ9Ð|—4´õpÒ/e'ëëŸÄ1ì—ø¢V5ϳOÛοÏD¼'=‘þN@Ê!öuù€ZÑ¿³Å¸¿Ô/µÅ¥úÎuÖwž·×jþHë3¯ù4LJû÷8Ä<ù¿â“±Ä¼öÂØÖÙÕçÜéSò‡í“øÀú1åSž©0Öýd\1FØö©öÆgû¤ý+Öüû~´;û­˜šb”œÞÙ'Å1ùvW]úÀœbí\kùµ}1éæøK¾ôÞ™œf~|jÜKuÍÙ w.I£8’C™oÌ¿»ê2ÇÐÖž'ãˆç(œ_Åcã\ˆ›´GH¹1å&ë²?Æã»Õä}êBã¨ÖåÜd ìÍO®“¼CÝd;ï*|‘1Aÿûo›% ‘‹‰³² 9“6 §&½Ã~’Ö$çCŒ5çaž7&}¾ÒÄ"×ÄØp\ÓËëg;Ú"á’<Éïeþ¬×bŒ{Ëgæò“m—ÎWic×·Ÿ‰Ž›Î({ÎÝÆ…sšóÜ3Üw>4ÞÌ‘µNk W‹¿ƒÊ1½Çàz¬U‡1^­»o…j2óµscˆ\hl¯Ž bºÎÀó,çuç5â+í7l çä#ôI<¤ýïqæ3Ú’ùß\eœÑŽlKmàØ$¸Vú€ÏœYÇ<ÍÏħ¹–ÜÅz§ú6ÞÙOz߆ö¬ëÞ+ùwœWh×]÷­Ï8/Ï•ñx©Ï›ç'ÖÅ©\×®1ìû”Ìaô™c'é0óYÒo«Âœ;•—¾›Ó’_È1^ë¡ö忲ßW2†ˆeï™?Œwrçb>#¦:_{ žå9¯¥˜£F£}­Ó/µµßéç¢ôŒô—ú&‡8ŸOuŸÏRÎÐ?çÁuø}ž—s&ïgÉ6‡úOzÚ×y駵Û°­ùŸ±G¼pŽŒ§t&Ðé8Îi×øÄí]œ”žåpLâ:ýÝ:s$ù×¹’<Ÿú0¦ì ó!çI}˜ò³?׺øNܽ¶¯vgn$63Œžî‡x$ˆÅ¤«Ù¯¹ˆöt?¼Ç|v„±ÈÏðþaîrü»žy9éDÖ¥Æã=km÷_85¯<ÕÇ mMH>#¿[CøìͼÉü¹ë:yÓû öç1˜:¾§VK¹ŸqL»&¾íxØÚ¶¼Ð¿qá|O®w,0§ù}pÇó ëúìX!÷Îø7ͯė÷ä@ç;ëJç3kÚÑ9Ä:–`ƒ|‰÷‰êÆ¡µyŸñb-f_ÑÔrÖëÆm[ý™xôÒ¸ü}˜ä®‘ºÜ9‡1{¡¯tï|`®d_̑ăõrÒ†)§êÃÂ>2?‘_èß c2¶Çä&Û8ù–¥Û§Q¿roj“H1e•´}Îk¥ £)?ËÞãV_þ?þ]îsËœâx$Ç:Æ“næZ|Yë`¢†#f=Ÿš ×Áßùuέù¥3x☸é0Âø³¿©«È©žSÍ‹Ï´¿Óš'Ì–¬¿Œâ¬ã;®“ϵœ¯ÉO>S1ÇQ[™CˆMÇ!×@=Fžãz¸nj?Û+?¿š±«ÇЧs ¿w¿_kÝ»«/÷K¼QS3z)SŽ¥ö7¼‡¡¿ŸCy5Å›Rþ3'kÉOüL S0GwvIûÍ—êQÏ9Ç2Þý<ŸœÜíû:JŽt|™;hWbÅ¿_”ö5Ÿ‘ïS>uÜ[‡zOàá½mF|[«ZÃqr oǾm縣_‰Y·%—ÒçÌÑ´C²1@['ΡÆ}ž0d|mï¾ögΕçÁ¥WÝ'íåý«9™&iUcÖ¾ç3!×áÏ3´å\.ÝãsÌTÈO®g[ø9\Ù‘y;᜼䜗88ÅG·°?È)W¨—øÊÌ–~o…vóدê’ã¸ãÚûÚ¿®¥}ûyê³1˜òJÂUÇÙÖRæ9ç9ûÎkæ\#—î{Ïc{úw$mcúš}ÔØÞ‹×¼‰ç’´ÿ§¿lGþ^‰q;ÞäÜ~"fì7Ÿ $zÄíNýb¬+æ©—î§çZÆýD{ÿR_Äs·^q¦9Ö…Ør^6‡ÐÖÆ£5 c™þIz”{@ÇL—;Ç¢NŠ ¶OÏå\'i'û̱í˜%N8Oþ~AÙ„\˜ðIß:ÞÍ?I›'iÈŠOr"ÇHöLŸtëÖ|Ó~ÍϘí{÷M›T©³-rù+Íû×öu½^»ó&}JÀëµ{_aþd_|ß÷‹Î¯PŸ9€váÏêƒZªË÷Ö^æMò§Û§ó÷ÎÇÄq²-ýo߸Ÿ©+‰#û˜‹èjJ>7`Ü3ÿ™gO}Nã¿Ïí+oZ $ÎïâŸ{0æ°S×ÌWÆjâ*®%åΉüÉuÙf樉cÍÁ‰»¼Fó¨sĹ}ÅOÊ»úL¹;錪Ës˜„)çJcÁf»8˜<ŽÅ{\SW¯³Ÿ5*ë%]Þá‘ŸIšKèWæ:Æf }@;ùlÕrÒ“©œMÛΦe?âθIyÅö¿¶¯Ü“ð—rñol²ß.Ö‰ ãðÐO¾k⾬AíǪãüJ\“»kî)Ng'^a±<Ÿd—d7ÆufÅë8ŸvœË¹¤ó®¥¾[;uñnlÛ»Ï÷ûÙ–ÿÍ]ι)Þmk„ô>~jŸælÜO>dÆdõá÷³’Î49lë´´æJ¼ËõZÓQO™GÙ§Ï hëš´Ïêø‡cÝєݾlß¾î9’o'O´a\0¾ý®K‡ûdçS).kî^'ûq¾6Ϥüg¶/ãô_ÊÖ ÆIŠ‹š;ÏOYø>ñ½s¡s³¹¯ê0ž¦¼ÀûÞ78Ï÷Ƽã8åcÂÏ"­ó¼¾4ÇCã;Öéqhœº_çY¶SâÜ„s”÷a~.Bî©ûÆþ¡6¶=µšÏ•{ŒûÒïNy ëºõ·/¸>žØç×Õ\:>ñus-cÞÜÝñ]éScÒ~1‡”/ªo?—JÜî9–ìS¯Ùs¨Ïö›1o@>­Ï¶1µO§ Kü¼£Ÿt.c<VR~$F«s1íÚÍ÷ØÞÏãxæÀXàµÄ‹äTrãÞ\Éysžì×=ÛÁç$]α isâ3½·åüà}W79Ž|°ìÌz¶!íÍ1Òû‰CÍ ‰¬·|–‘~ÏÄ}{ÍÉÎÁœ·÷ܯ¥õ#’g:>5gvqJŽ1ÆiãÆ9.=s³ßhƒ”OŒË„1k0oî÷ßËMk$×ÛûïÌ›ÌAž¯¯¥}Léü—|äº~fÛQOV=ž×Ð÷éü˜{ÒÄy\+Ÿ$]Íù™ÊÎÉäíêØ"¿¥9ÚîÅÖÂô›s²yÃ8Nv'FíâÈüN_q¾ü¼:åÎÑ:ÃZ¼Öp…û)«þìseögýÊXa(|uºžz0áÌ8¿†ây˜KËæWøœxÛZ Ý÷8É&ô—ç[÷ù|šïÄÙÇÖ‘ÌÉĺýVý›eSk.óIÂQÒß~6¸ï¤ïÓz˜ÍùÎÝækëTÚ#ÅÉ„r%c;åôŽÛR¾JctgF¶“¯™W\<¯Cc§¸äøÌßÃ|Öñ¶ziN“ž0“ü<¢®;Þ­“vµcÚ q×@åü’ŽK×÷òדìâ;iqkÐôÏŠ¼?©º|ì¡>¼ÎCíR ñÙVŠ#î©“ï>0Øžóþ’N=Ô/c¦îÕyMÊá§êñ»ß/°5Ï9v“ Rnc¼Wm¸&;f-SzÉk$ß$Ü›Ž“váüÏpk仕åß.ÆmÃ4O¾óîÜ”Öç眉˙_»ßù² öÍ öÑ”KÎCWøìy¤Ïæ7î›ýN1çcrMéwÙkܗ꓇È?|NÀkŽ9Ûαؕ]mµš»ßí4o˜gY‡Ú3é‚„MûÅóéÚÚ·ÎÝ>÷¬kŒ™ #i}Iÿ+Ï¡®ùÃó÷œñKÌ8çÛFΚ8”Ÿý¼Š}ø|+õ³«­õ’õÉ©’lÃïéy ã C.K: î¯•mWÇ×C®JøòúÙÇÚÿñ™ç#ÄxúB¯/a»âÃÏ›|>éy8Îè? àX Ƶ uˆã†6¥el%[pŒ;¼EÞ-®¦­íÓõÙŸŸ;®Š×òg”´Nc*qc÷¹.[±øwWWöwÌ;î7élcÛ¹Õ{swòɯí«Öît±sJgoj—Š3ÛÎßÕþ£ ö­÷IiR¿³t\Šs}çÏ´6?{vù4FþVqóW•K??Y»õíüRßæH¿Ã8qG‡ëý¥÷x…|“°G-0Í%ñ@ú>a¸ÃhÊ]á¹í=ÅÈÔÏwJ²»mâ\ì¼`Žs.œ®wulㄳ²¿'N žý¼ÔgøwÚ2¯%šbÒmÕáú«Ž÷ì.¾©-ïhž´÷üi©>mŸtÍ>HöMm’ϪðÝbsJâÆ„ã¤lWsã¥>§–«>ý{]ü$]”îSu¶HžðcÞJ¿'ÐÙyÅkä™s{ç¹³ë*6ü®a7×äDz#uØ4ŸÂëÖg>‹ZaÇcv¹+å¦Nsý建§+¿“³Š·RìP‘[™ÿ­óÍéî³^Ò#|þí÷™‡x¾»ÒIxOAÞ®þüœ€xu<9nÉ¥]Üs>ᆻgÌsÖï¶ýJ³§}?§ø8C[ÿ|…¶«9¤>VuýÜ„8™âÎö¬ëæ¯×Ù—uû5¿~‡žúÉëäÕ‰c²OKÚªÃâq³þw íóÇüyæLþÞÃgs~ŠEÇsÚ£üÞ.?­ò|z—¼bŽŸwº˜¹=Õ±¶KüEnñüïb¯Ó¯+.¼Âw^£šö?©okæ*©ÚŠ¼±ÂˆýÁüƘ<·¯|ôIþ¨vwío pç í®¦`¿ÿ´ýwÊŸÁ‡Œ9ç梄gǹsžó—ñštS}>u}íŸý>¶÷yø>µ¼ùñI;$Lל¿S½#\ûcìg5Vç“B­LŸ—=§5ýynï~3O­°é=×ïļùjâ)bŸ˜üG<%îOû[Ú‚¹±ì¹‡~»8ít^‡³´sº¯wýO:Ñ}¦\ügŸÁkÄìÔvÚפ=ŒÇó5ûïŽVN8+î³ÝK9ê“g%Ó\þ óMÒ: ‡êý®ò]ð¶ÖY«¾'v:ŽsÝ.†<'ëÚ?îñ÷¬èã®Ýáó=Œ±Ò  ÷ÔóÕù7ù%åÎé<(ÍËuè ŽGŸM¹Êösîö5žý”êûÝgt]91®íd›vc9ƧýÈ¿'íß•;vÿÃfõØ_:+ öÿ°‹ÿFÛ8fÍ+Ÿ`æÐ8gýU%åÞ£Œ3Û©ÓÓé…×_Ÿ»}7Ï¡º=×êlºãú‹mÂ~ÊFŽSëÆŽ[}^š°Rù¦ãåjgóÎUßáÚ¬‹Ÿ;Úp:·žîq.»3ð¤“'ý½ªOýÅ{¶ÊvuŸ9kÅ}û6Ûó'yìÏ.µVç8äˆOÝÑ«ï©ÏU®¼ÛçÔ®ÓÀ©~Ò^w¹.áÉßïpBñŠŸƒø¼Ø<:qíïOsè³Ïˆ— ƒ¿nÖ嘗¾;OU_ÏÐ÷„Û€ÜÝñ@­›ëÿµ½¯eŠ'λlLÿ1>ù¾Kǯæ@¯Ë~wN²?“æíæà¼ÃR<Éß¡àzVûæ wÊ?Š>ÿ)§C]Gú,õ·vרÏ=Æä'â€ÏÈVç÷5ÏÝ»øv[¯yÅûgp펅ò‰1Î9gÔ¼îðFŠ.}Rþ“ž5Wz>üɹXWÞÑŽ«:®7Õw;Û2í…œk]œy®“rcÙcMó»“C>áŠ4ŸOÚ1Æ™[?í‹9ûïECßµeŠÂ€ù êG¥¿oziü'ïÍg_{jì¤CWœ¾â‹Õõ®Ngê•ÂšíT6ò»"ÅŸ)žœÔïÞeK<—ôEÕ/­C^⻡\+5;9†1Á¿ó6ÅÊO m_cÙ.wËkûz6ÁuÓ¾ »]¬%¿ÿTë}šgù³øë®6¾ƒižÏOqßånçègÓþS»}§±VßkäéKõ¿›3‰Yû©‹A¾qG“šßËþûz‡ÚØGéÌÏ÷yÍ1¾Zw*õ?<‹÷§³šÕíö½«³9ÿü§ùÿ“ÂyÖ¼ïrÐ'Zä“9Ño5¿²‹í=ñLÚïó}Ðc“ÞOxLmõßÁ}?áËÄògä5sç„í?ìÇ¿OF~2×ß±ŽU8£­øp\…C?³dÄxµ¡Ö«Øûd/K~Ië:šñ¿³ßºk÷”¿ÜÆuRÞëÆ1Ÿÿ$¾wÝòawvtl_÷K<3(Ÿ‘—ÎÆg5×é,7a‚:¬ŠŸ™>qϼH<Ún\DZ}µÏ*LØ°Wœþgígl»®$¿U?Œ—²OÚçù3ñP±I[ØÎÄ ótŠ9ãÝ.îIíjN§¾¿ô™Ú‘÷hΙö:U¶ùÆ >S,x|öiÛNºÐ˜N~ð<êsâ­)Ž·ŽL.ñ"¯}'vïê=Ú(qXñ]×_ŠWòc—¿ÒYs(Ï!h§É÷ÝùXWïnírôÚuzØýÔœ;‰·WLšÉ>õÞ"ñÃjý+~îò¹õ5Ï*_M;ú×k)»%¸/î_þÌògiúU™ôÚßs±>O×Wzå'šw*¥ ©¿ùÙœ–ÖæÜšòvÒÈŽ¥ÉÏ]=ÇIñpzßüK~èx;ÍÝu¨'Èå¥Ï·U{Ÿ1­ðÏó¥;¾õ»4äÃ'ê=Õî‰1VX›î“3¦ø¸ƒQÚŒgôöÅ]Û0GtX›8§ü›4l·6ÎÝ9¥üu¢¯´ßžôËò·ÜˤòÉó˜SmýN$µJa£{†– užùŽ\HŒu¸áú˜'“®¢öøî¯æí6©ÿÉö“ìò.ñ{§°½µµç8i ×­8¹ðÓÚÒïÅžè‡þªq÷æÀ„%Öc猩¤ß§Ÿ0jŽv¾àüÌ7Ýû›é^zoé>+ŸãŽß¥Iø(Ÿ»ãâ¤>)ÕGzn˜ôJÙÜãÑ.þÉwkSÌ'MUq`>q?É¿S»ÿŽò¿þÅóõÞÞÏïÿ•Ç¨ÒÚïØÃó0Ÿ;•ÏÓ{`“&Mï&>½aìk¥—Ëf…óç6ÛÂ¥ã¸é»9Ï<›8ÔkOãOÚ¾Ëu…‡ý¥gËæß*í]'<Ñ_zÿ$j…C}Xcý]èüÑiÂ.oÕuÏ‹Øç3â”ß¿3oö=í3ø;¿Ôiž?µ có…ÏÌ%փƹŹ„yÕšÐãú~ºnMç¼Ã8ñ³.ÇžýÞqÙ?R^ø[ž7ÒÏIÇv}0&Y&ͶâêwÇ%¹ìÔ½—úHÏh&pégcºŸêq^ŒKÏaÒe¶[³x6ù9ºæÅçïÎ]ßÕâôýØÞóϱ½Û‚ãµN{œèÿ¥ï^S²‹¹Ûû¤‰ËÙ·ÏƬOîòšß?’®þÚ0Î'­U÷Îpí§%í¡kœŠA?#s¬&޳ŠâêÀõÒZ)O{@ŽŸr±9ªÖ‘ìÂ\K ` k­ã¼ÿ‰nbŸÔ?é~—«îð÷”ç’¾ú¤mþÝwÏÿÌÂ}Ê}ÅfêÇšl²ýVuÂÝ÷‰óË_ܘ¬Ÿ}¾šôõt»*£Ã8÷ºŽÿâc›í”®}‚ò'ÏËÓþÓÜ:å‚)èÏšbÒ¿3—ýU%iôâaëÅ;{æéùŠã í¹ׯö>¢~6w'p~)ÿ~Z~‡Žè´…µ¯=ÃõºÆX¯ØL±‘¸¨ÖD?­òÔw9ëï¹—eGﺘ›òYÒb®_Å÷ÄÄ©?“oÉÆ]å æ}ž­:ßZǦ½^·í´ûN6 ±ÍJƒÐgü<Óþ”>)ÔJ´WÙÉ{Ë—>w¸2¯›?hƒ•öJ…¼óWkS—Ò5ÆYéÇ+÷*«ý,}ažM9ëÒÌ›IýÕ¶Ks±¾ìŠm]×Vqbì×ö_Ϲÿj^ƹõ€sçBü¾ÂõÔnºNýÁ=uBÇ[äIk®‹×N—ê¦Üf—üàØ6gv8øÝêN$_vÅ|÷I±æ*_1ÿ»Í4W汕m~ç>à'Å\y‡?:g{{… þ-MÆùŸ•{§üéâüHŽdN0ÜÎývzô;¸ý3pl÷»öæp®ãÀ=rÝÄî§{.ÿgí!Èùô7±Q>çÍíÖÄ í4Ù Ë!ÿè¥lçøM{”Oúìb·ãŠ¤èï:ó¤Þd¹£­¾£ÓZÌÅU7q[i‚»ûædã°8³Æ¦í©Ëœ7|nü·ÔÃÌE\Ç|~÷ì‡þ¹}~·$¤Þ™Æ.9‡?uz>é÷¤Ëܯ ÷Z“î´¨3JÛ‡¯Ðϧ¥ãï;ÒžÂÚ©~:ÝÑ2§Ú%]æåw¿Oã|}¢ßŸê®ÄÑÎEùcì:;è4ìŠ+ŠãŽæ{õ“8%]xØÕßµ}sàJCv6Hqz†ŸÞÖž½bªðrÇîi>…Iâ’qÆœÊs´;|<ñ³yò ×~¢‡ÿ,:åêš/9"íÑê}}ÛÊûætú÷×ö_ß+­{w¸¤°_í8—òÁ¤yWÚxÒÉæøÄB¬uëöyÇ'š´°óÄwj]ιäĘ O“ötþ¥p±íï?Ckq>io@l×y'÷¸^çJ;°ìC}r@Ç}¾gþt»¼“òX²—sâJKЗfÒÞ„ãÐv)·Z»œk—ÏR¿0c…z‚s¯¼O\ðý çã ãX“®tjwÝy"å³ëÔ¥~ærÈú§KÏPÿ'œù“=c­í ã°ðþú¢F¸«ßV:‹s¼«ÅªLº½JõM|'ÍÑñõ/µe8k>nã¸ýnùDËíã\k~ôOÙñN®åsYbËù9Œõîèqr🩋S©X 7v±Î¸©Ø§þøD³uî¥Ï+<~²NÆ4óga…ë ×$@=È ‡¬öŒ×úég®s X&+/O¾ñºÏÉOÔ%~GÊhÊ©im¾Æ~.}~ê'?s,Þs 2öº>~m_×ã=Ya‹ü›rdÒ…)×tÜûDß“~%n­¯&ý[ã?kMæ8Ï5í~R<ïŸÄ~zߢâ8í÷<6ñ’´;ûêø°lÊñïjÇe—û¿Ã½ÆÝ¡qËÔ9“þpýzè'…Xþ®Æ ´.·¨u&~·6âþÊXO>0GM6MñP±ÎX(LX¼«‰Y—ñÊÏÖ\ÌÏ®ÃØ2×'=Vø®Ÿßᘔƒß×g®#ånk/ëÝ\Ã3¶_è«lƼ6éÒßQÜoÅÇ45}•lfÍ’Þ¤mŸøN|s ŽMŽL:"]37Y/ñxåçæ]ÙN¼Þí‘’~zê^ÂóÚtâ™cÜÞ?å‡é<ð¯(eóÂ'¹laN:¬û|mÿu_V¸¨>Z¸¯àódrÈïç®N³æå^+åê Åk ?iíäüú~ª©Ï»ùlÊŸ´—9Ñç)iOHVOôWzÐ9‚ßïàÝ{ž©Ô˜¶©u_§É¿)'ÕºéÓ¤å¾[Ì÷wì3q=5—ñ[·õcŽºN}Øíéýl‚ü_üm nœ&`’4¿wÚÁzùßqln³­˜·5Åi§Å¾‹1Ç·íźŒ r1Ø­!ÅëpLÚ±pRëå¾’ûYǦuƒõAÍÜbì¯â9Ý뮥8õ<~R^§öàνŸäFcìwð[Ù™y£bÂþ,<üT+‘sèoë¡ÄS<³,_9Æ÷ÐÇ­ÛÕù{Ñ›´}ùqh½µÊµ>ï)¸_ý;6WûšOö]+¾ýnήŸÌ{̇–»üD÷Tü0—sÿe]{×æû׺ïIOyüä˪G®&ë³ó´Ï¨CéÏý¬cÕùÒküµ}µójÂúÊßì#ig¿#p©~­›šû93ã9«ÓËÖˆ•g½&c»ããßÅõŵ×öÎS¯¦Âsæ6kÆügi¦ØçžÞœÃvœWa¶r ÇdN7¼OµO¬‡;ŸÙwÔÊ«¸e x¯Å˜æusé*¾½¯ëêpÜÂr:ŸæìÃ]c¦óŽê¿;O*ß¿P9›{^»Ðõõ*õâï̽+';ѶÞSuÊëŽÉŠûÔ6q¾sïû<`ÊóôeÙÜã“ ãÆèïʉ?)ü{cÞ[P£V 8œïSn³½öíý÷˜§¹ö˜_êûÝœ’æWñï8éòáwµGg“N?ü´tyÌ{rçTëïø3î ÷åsò“}µcLdžó¨ù—~bMñkflø ¡®½Ðg}~é392é:~>CkÀ„ÝŽŸ¨IÍEöðõò‹c™:„1b¹pýo½¿£æ)L;÷zÏC «5™ÈÝ«3¹;9“šƒ¾/\¾ÐÏÇC>‡¢V¢¦ï™£¨ÅœƒŒ¯_ÛWL1Ž¸7áßB¬ùQ³Ò?Ìçå'žy”ªC{aì꯮'¡½:ž¼ÂÏ—~µv°ý?ŸîGº9Ãq@=ÈÏÔ—æDÚµ|Uö¦Ÿ÷WŒ U÷‰þ‰WÚsâIã‘o½åO}‡?_ÄmæKëwë”Ng¸ÿ?³” ­oœOÌ÷\÷Mß%=Hžpñ¾X­9L\ËùT;ÿß1úØ:ÖqÆ9OÆ@ͱ{¾X÷S>ÿäœÔó¤fæ³$î‹øn¢mZs.Ûš/­­ü<ÆÜÒñ—±f[‡[õÙñÚ4çs{Ç(ý@­@þgN±~Neâ>Ö1Æ9gÖ{¡.ãè×öŽ ¶c¾OÜTå“gÈÔfÆ ùú¡1/Ç:çêùÎó¢;ÅÚÏñOqþ¶1ç\kKãÔýWÓÖú©Ó¥wŠã„ú£üA}nï±gMjÎOñïxK…gÜç’«©¹l—çö•»RÒŸÔX]ë¸Âú}ÑOämï ™ó½Wïò¹û¾dSû7í«j¾5ŸÚŸ8/ïugû¯½ÔŽ±Ãø)3ŸqO@Û$~·ÆHc¦¸£hïIhscÕyÊsæõÔ§û7Ü嶊ÛNk¤±'Ô Û9á5ÅIgë´ÿ…ŸÔ…<¥fé°À¿Çù/ˆÎ7Å-ëy¸*wíÖÅ}a…ñzgünÜŽ¿ŒcòÔç4ßNGøl™}e_¶÷~¢®U|;·ŒEÞs\$>íæ“´ét.ó Ï}Â}ö]✮Oî;¸ÿ´ ¸/¡vO{Å.?t{Ââ\Ƥuëøêê2O§} Kw®™JÚÛÑOu&BŸüÚ²¯È‹äKã®ÖaŽìÖD»Münüwû}òCÒÓ䘄±³Ï=͇ëJ¹4Ùr^IUžJ1>ñBõE¿¤¶œ»ýy‡‡½qa|¹½çíëu¯Ó´m—“®Vüæqls\7/j[ê4Ï=ù<ù‡÷C;ë…„½‰ó©[’_¡ïô½~ÒÝùÝ'¥Ë Ôj‰;¾¶ÝŸ¨ÓiþT¸^á’×Ø®ãÆ:'\Ù¦rnŠ×®=ëûŒ¸‹?êÇÊ´†ÎézÂïw{fk ¶7Þ§|DíÖ0­uUœ§­WÓ¼*—[1ÆÜG­‘šþ;sóü&>9C[sZ—x–Íý#ÏH’κP}«æ¡ÄѶɺ)>áÚÉN5¹'•¤“Ï’&K?É—ÞctëKßSnH¹µÓ´IŠé‰C;¼vu;Œ‹‰óS|N¹\“üE,)î<®ÏfîØ!å™dÃÚWCº’ð2Ù‰ã:v’žžx*aȶLxZiÍO óÏ„™„ÇB:S;BßuÝgPwÐîSÝšÇNóIj_ÔÜøœ‚và;‘57îSÿ™³ÒsÈNówx¬¾>9w»ƒ‰Z»¹{¯‹óàϯçöþ>ÏèG~çýc{ÇHÇé|×.…c‚ýOLŸ±swŸ1­£ëûÀ®Ÿâ÷R;óã·‹¡Ä]iïp§qÆgx=ˆg×iTýòmÅBªg›v{¢nMÌ·Ö5“W÷“Íè÷?lÇ¿õiNïxƾ¾Ð–±g¬q&_߉MöS|i›]ÛW;Oåê›ÛxmÂùd3û\6í/:üûÝýT‡ûÄÎf OÝž‰±â¶>ëåÚ¬ÉjݳˆiÒq ï%Í–üg?'ßÔþÖ{?úÓgæƒ^Ë)S¦=\ÂhÇ!Ißwø¯õZ·¥¸2=ÂX)fÒµ)ÎÍ¥ž›¯û|Þ8Ÿâ`•Ë&^+<Ù§S¼w|e,϶ÇŸÎßÜâsÈdCûÆz*Ùú¾¯Þ‹ª¾“>ƒeþ특íPvôßáÃk®9§½CþÓ³b†<æ=“±Á1«-9„¸¤O»u:¶3÷?šñÜyjâŒd§©î›«z¼—ÎUîÄ\ʵ†§Ò͑׻g<×–sÞwøænylï˜sn™ìå˜Kñ|gî“¿lƒUžàXæÃ.ïpÜi”w²t¶Låî90Ï`Rœ|š§:?—®p}ç^OzîÎ8©ž1™xa²Wwoâî‰Ë–ÖÇ]>aß-¯“ŸwÔ³¦2Ð>Ç›Îõ>µÁrÇÎ+^÷ÚÒZSûÉ>]Sñ;ŽŸ=u¹­ó³ùêú´_ªÞ*f&ý’ÞãšløÝÜâóÄT’&J˜˜rJ# «.ŸÛ'³ËsÝû5N:Ó­~ÒùsZ×ÿÓÙ[qýôžK§!’/>‰¿Äõ¥59÷î;ãue;Ïëü»]œxìt^–pm¼‘kºn<ÙÎ~ŽêùèÛ9“6[ÅÎwóÀ”§SœO6ž8iÊ%©ÏôL²´ ù¡‹oÖñs/÷ËÏÞw>5öT¦½xwõ ã¼pÍ{KbâÓX™8¼æhÍkì%ΤͼÆÕü&]ÂëÎOŒý„+Ïwâ¿cÄy“ûýä‰OÇ]#ú;åb‘xKóîâ°|bÏ©Ë®]ìÝžgTçöþ7G©yÜ/¹z:³J¹žx¨5T|ÏŸ¹6í{Ÿ±MÅÉ„ÆäwùwÂgòoç󎣉Åtϸ%VÓ;„ÝÚŸugÖéÄ™5Ç¥{S>qÎ$ù<9=›c¬Qtc®0Å﫳¨dÓZ“ýÎåi#Ž“ž™ÙÎ|ïÎÒ{1Éw6É™ŒÙò í”xÆ1â½üKíÍ7I×;¯‘£=ê ctê÷f~Z8‡´7ªùÖ¹¿ŸG˜W‰‰§üÖq¶íd›¤yß}ι®îw¥îSû%žº¿²¹sl—£Ýg3Îùž«ÇwŒcc“}§{‰S’Ó3ì.27'{Ô:mï.÷u÷»³ÍŠmÇ÷|·­øˆ>MqŸž«y~¯0~š#ãÑÏÎ|^Õå5û¢óíbîwé¸Äx´ãüº÷Ì?u½Þc¿ì‹ßŸƒöêÖËß‹3PÓÞáó¿5ϧøH¾cÜQË‘O¨Kܤ}”q½z6ì~W¼ü¸Ùg—kÍæ:瀧~v¹ÂkÿÔ?¯íëßìêxÒ…Kœ{^Ÿý0ˆqkXŸck¦g\¬›æO.$÷¤³û™¿¯Ï¹¦sèZCÚr]e/ž¥×ÆQâMú~Wÿõ½|k,Öû[ÝžÖÏÏpöžâ€{¶ãÿI\nþ ¶¬ÌωïŒÚ×yõwsgÙŽ8¦m|n˜Îðï”×öŽ!â=ÅÍ_™; Iç2¸8½.j¥´0^ˆ«Ä%æ˜}{ÇK¾ÃØóv¶HyÌ8MûÆTl/óû6xÎÞ‡Y»ýX›r.å—é¦y3ùßûóò/Ï­Ímµ­:©ÿn]´›c³Ã„×Áu‡Žç½*Äj§Sjì¤oí;ŸsLç¥wÎQW—¹–ç3I#MXK8>¶÷5”ý¹î„-ßOì~˜‹=¯îL‰Øc\ïúyèóúêÞ»+Œü®²z•žÅü¤¼¶÷¿½ä1ÊNŒõ´'³Ý¾› ËÖæcÒã0Ï­r…çb­Ìu¦ù'}ÄxërÈOyߺ³®9ß—Ïj®î‡×ýþB]/{&¼9Ë]«9ú÷È Ä!c`e?æxbÕc¬ÎœoҸ䋟Ķs‚ûæ¸æ{bÏm»¨±è§§>'û$Ùö>S0WO\SeÚS%-¿ég\ÚVÄñwyÒZÁxJó°JZ=ñµAµãZ.mÛ{Lï·­UÈw{èã“BMam“0Ä=AÂxÊ¿æ >»âçô,‡ù¡æjmʾ9?j‚ún8ßù9]Ò ÄAÍ…¹¯ã)ëS®ÝçÍçöŽ¡Ÿp—sâsûê3?WdÜ{œÿ©ûÆã$åfïG¾£=_™»9–uGÕõŽ»ºí©±S>G;¶¯HÞ¤.06W{€i~ü»ÌŽ‡„rOõé¿»Ä\Äuúù±R{^g\x¿Þq1ŸmqLk¦¤¹~¯½®ñïz ëÈïÄ*y1éRÇãêÔüü¿wõÓáÆ>7ö™‹Ì±—Úó'ñÿÔ˜Ó>‰¹¡ôD­ÉœC¬°dkçú"§ó„UÌ¥XeNs¾b®x©Þc^#ø7@ØG­ç;¿×àõø;u«ícNstÄüóæ•Zy2éç%úñ¹½ÇI·§æ™”ùð»¥Î“&ô|+pMÔÔœ3ïïéÙ{ÊMiŸíóýºN̾0Ž9ƒûןèÚÇùàR=âtÅÎ ô5ñì\‘ö`5çc<ÿÒwêŸç¼ÔŸÛWS¾¡Ýhr^a­0Qs¸P‡m¾ª¾™S¨%\×Ï>^aLîã¾oέGø~êsÙ÷ø®KÚïÖ4Ìßä%æëSíº¼b>ež½ÔŽ6÷}ŽGžêßë­kÌù]^g|ø9ÃK×^ºÇy:–jìïÚ¾úܶü ÿ0ÆG“ö·–{†ûæ/οWnîs®c.ëÆ7vŒa㖟͉_OÄñÕí|ÎIŽf\’V±Ÿ8ŸvïtBÂml_–}a¼kûú÷ð/\gÿì«ÓW5‡ò_Â5ù´‹G¯™šÄ<ã\èók#j“”#jí§Ú£Ä*ùÂþM~O¼`¾5/c)Nyͱé~»|ÜÅ_Ç9Ö\£îe½„Û_hｈíI¿Ò^ü…Ä;Þ[ÑFÕ'õz᛺®ÓÙæææº^ýzß“lÊXªý3Ͼ.ËßsL|G8‡ù=]ÆDú»DÔC)¾ék÷e¾Mëó¾`×8Ž æÅґ쇹’Ø1ç‘3NôÇÿéÍßÝK¹Ô˜ñ< ;ÔßÆ]Ê´ó£9Ò˜Iópìt%͇¾ñ<Þ:yöPó!7“§¨5ª_že2÷‘ ˆ5êRÚ¨pK|˜Slçks‘ñE[OZ‰c\ªÃKÜlA¿ía̹] ¥’xË}wý¸>9¼{npèzÙËÿ;™6d.§¿™Cêú¯íVqEŸ¯íÝGô{÷Ü‹sòs b‡çIæKÇù§ÖW6q~KX[i÷*Öpimä úÉ»‚[õ_ÕÏk{Ç7×L;– ^—8JØ/ûgÍS퉫÷Ð̓¿Çq¡­¹þïò9=Å{×憤s.õǼë}£ï§õ17Ü-웜àyÒn çæ?Öe=óRz¯“qFf{SÓ0Fªnñõ›óÉc‘™“8V͇Ï.wõ›ô±ùÒ˜f®£þq~q.'Þœ'öí³É_¼W?Í•Ö¬•3Ø?¿“߬Íß­WœŸR2î©Ÿ•—œKnKÿ?¶¯spŒ$eœ7q屧\Äg;ŽEëÙšwÍËgƒúô< ‡¾g\ó9–9»[?ëMûHÏÅöåܹ‡cœ²Ÿ²Ïx¸ríilúI_$~&–É-Ž9÷Á5×±áK÷»¢ÌåæUdžsY­;Å:ýF.·ȯ^c—ï²8ÏrlŒ±ožÁvd®0Ïs|ž¿8’Æíð›ÆMš—ö®q}žà¼êØçÌq)–‰;ljí]8$6½Vó‡ãs÷yÇ°2×u¼¹«]·ãÀ9„yÞm¬8wÚüü ýZ_ðÞ í©=KS²=cªÓ‚Ö¡Þc§\oü7fÌä|çñT¬ù.`§w8–5sŸïÖY“²^š5˜÷bŒ/¿+ãcýDn0îR.è¸Âï%¸Ïš3ë“«Í9Öì)š“‰OÎ÷ÚÞñpþYû_Øì¶,MðtgVߪ‘¬ÑHÌé6 fÒ!UÅûÝðUH-™ÅhºBj©<$™Q"³DTÈ(™‡$3jä&SȬQ1£"3“¥X¿U^ÏòÉ0Wútî9ïÞëϳžµö9ûì}üåÿ¿¾+Ë:úUîWÛ³FåýÝWûó¾òè9öoξçÚwcOŽ}Æ«‰»_ǃ¯ï r]ØWnä3ü×{ÕïÆš¼þõ…ݹvø»qüësrÞ‡}å~ríkå½KþûélÆÿë:Ž¯5ík|¿³'ã¨Ýwµáëù×½K_±Éû‡¯ãüwsÉÅïìÊ?E»”ùõ^òÿÿŽÆѯuã»õWù¼ð5æ_¯}õûoBïWßr8ªñGãù×ñö_Âúë8ýoBÇ×~Ï2¿rîëøñµîû=Ÿ±þu´û:Æd}Ͷ_9üý*ã»õ)/ǯx}åÁwuæo¿È4®­ùÿÝÙæQÖ·ôóë8xtþÕþ£ŸùíÙ>Ç'¿}åÍ×{¦ï8ýUßw÷»Yrœþÿå>çkßrþõ—>_ï=¿æÅW®}­aÚ|#s|ÿÛ³—ÄâëoÉ×¼·:âNb›×r<úŽKßýûnqÞq8ëøwµ7ë…yçïþ®Ïß|#÷;n|Çw¿}wß—µRìþMüÆ®£w_Çîïò,ïÓRÿטÁ"ãýµ6~µç+ß¾Þç¸×…뿉þ_ëYÚüçòþô»<Ëø~—wG÷Š?…ü¼gûªãëxú7gû¾ƒ¼¯ú¿ÚüßEÿ£¼ùú,™ùùu|ÈÚŸÜ<ªƒùŒøµ–æú–ïžµþ6þ?㟵oׯõúë™ÏÖy¿ùþÕ†ïƼ¼Ÿýj×W s/uúHÇ×÷0ÿý7í³~~íטçGÖµlÿõ·é˜ý¿;ÿ.®ßÅ0ï›þÕ̯œï5íëßQø®^}݇ðU_ΗýKx‡ë×9ö¯ï©’ßÕðïbó•ÛɽïêñwÏ0‰>å³Ãw1IÎeÍ9âÍW¿¾ò3yý]=üélÖ¯÷<ù¾YMüŠÑ×þ_íø›ø÷ÝóÃ׺ñ¯B‡{†¯Ø§ýyŸõìG_qý®|—/©/ÇøœWú.ßݧ#_õ‰Ã×çð¯mS¾ZüõÙ=mI^%¶ÉÿüöïwíþÕÝ-¯ôùn­Hö=ªsÿ}œ'¾9ÉËÜ9:ÿê×ß|sLÍ÷¼WIîÅ)ŸË¿ò!óðëë×x}7Æ~åÝw÷ßßëýM¿¯œÉz•ÏÂiKÞ#emË5eGãòw×3_²F|/úŽ þñåë}òßžÍ1ò»gËÿþyGvç3DÖªôûh,ý.¶üü®ÆáX>äýë×Z‚9î}‡ï¿dÛ×1õ+¾Þ—åWlrŽ?ß¡°-ç…ÿ%›¿þû:6}7¾½û‹Äà»çùï°úçÿêŸÿýÍÿçŸÿÿÿRúÿOÿõú¿ýêÿþöÿöüoÿÛWÿç?þÿí]ýWÿó»ü_ÿÿhi¿û‹ž¿¥çoê—ý¿ýûÿåý÷ÿëÿR§?Ýý_ÿoÿ÷ÿíßÿóÿý¿ÿùßÿùììÿõÿ¼þùõì¿þwýããî¿þw}º¿ú¯ÿ]ÿ᪎Ϲþ‡»:^þåøóç_~¿ùÝ_μÔùÙ_äiÿ39OÿüßÿãúgGz´¯þ(;þpû—v­¿®ÿüPöVûçoÿüßÿñßô\—ð)½¨ëx œý¸ñþâñ~²¯Ú·_ä“û^x–þŸÁ§»°—Þó)¿'ýñŽ_wÓ®´ã÷e9­Ïñoÿaêm?Ãþý=ô_ÿ²÷Ïçlï.ð¦n×ËÈËjóë¿È½ùcØ-oêüÏÿ\zÅ_{zÊ®ŸñBœð(ó!øÛùæñòå¯8ÒWþ±C¼Wñ¼’¿ðÃÓŸ¿¶ß‘¼ŠWçMð]?øÇq,;nèãGüÞõ+ø˜ùøƒ½òOxâÞ«;â_ö>M;Ú_Ç™âVvtÝü/“¿]—´—ÇüçïÓô#ëT×Q8‘[<•ßôœÈÃ~ÃnuÞõã(_ÃÞÎozñ’öâ¹ðúõŒßø‰ïUøÍ_x9ÊvžÇõÒç]§ð2òºý¼¾ã#뇟ÑO|ÄOº¿8‡Y‡´S¯Ê_yG¾q|ñîrêëëQ÷V=ø˜íàï¼ÀÓ×°KÉ |'xˆ‡8\Oÿúzµû!Oáu¡ï“*N]ñ€=äF=ì< O^EÞ‰·ûDñ[x<‡v”¼¶§ì¼ÑŸpzÙó0å¸~óÿå8ÿHÅ»ò:íàoƵë+üøW×oÔ'¼‰:åØy§N??8Ðs;åÃÕ¸ÿKåaçÜáG^ÔÉŽ|Õ;|ÃSõŒ_øw®³ð€}ò}q½ë|ä5þ]ȧ×è?õÿNêYõsŸÃ›_U?<À38©ø“õž}ü$·ÚŸØ«.—½ÿŽ|ö“#!·ãÊù{q¿œ¸=nâIð¥Ÿ[¦¾|¾é:.~ðÅÿ?–×Ë>÷E¿øÁ+ë<{ÔõÌ_üç¯:pÀÆ>þÃ?Çzøqí8á/žÀYÜÄ|õ(ãx­ûòÔ%v«Gü$/ê\çßuø粫ïË.âˆìÆÿ»éûáÕ÷âÇ¿ƒºÜ÷qðÎq øß¿g}ƒ§ûúàyØíô+œ:>ð~˜8²»yÍnõ¯¦?¸ñ«ôõ¸ñþ¨7•gí÷Sàô:í_öä¸qšþ÷óaáyóÛªg‰äAòC½`à¤Î?Œ¯ÚÃû*ð7y«Þ]×àþ9×?pÏçÑ5òŸÞ÷ðûÇ™÷ßÆÁóÆ•=pc7<äÝùŒó)óJ<Ô¨WìæoãC¯úQq»Q'#~}_Nü$¿石}éuå9¥ïoðänÚÙþežËãàE׉À·Ç[r«]ŸÓ{rŹŽ=Þ²«Ú÷¼Oà¨þ÷ýQÔ~¬ßÿ]ÙûïÊŸúå=;£ô¼žÃ©ú{~ïûDçøu¼Ÿ#éÑüÀi=oé‡â§ÿiÚ×u9ãŸu›ÜÂëæ﫽~x Ÿ8á%}~Ïú#ÿÉÁoö8Ê/<Á·²‹æ!¼hÞâCä‡8ünò þo›þì¼ üß&~=~6å…sñbÇcÔ¹âAÏ÷—=7êYÉ1¾æøÝq);ºþæ‘ê,¼>&_äeÚÓñ¤/ò©ë*»ñY{ø‹»ø9/Ä_¿§éÇgJî/øH^ᶞ?'Žë9¿éÇyÄà/r2ïñ(ô&_šå_ÿìÇäkÙéy«ïC7デmGé¹ùSñìϳîÜT?÷[}?.ŽêÐSØ›øºõºçÝþó¼ÞöüÃ_ÎùÓÌ/<îøoú¾áqâÞ×ñ§âÖxÀÿÈq²ùYÇ~O)ŸÕõÏy}=Nî‹Nò”Þi¿çíõ¼õô„ÿ4ë@;üƒkŽ¯ðsàµÆ­§ioÖ—ÎOçñ{÷wÄ~åx„§xžùDOú\| —õ~_x‘õ¡ê@ûYù.×ûö¨xóíÄÃuqc÷Ë´£óárâà}eâö׎k~_&®k¾Š}Æqr£æ}E÷c/=Õ¾ÇyVx÷ý­søF¼›¿âÇŽˆ÷ºîxþWìüóþ½ÇváGä­úÙówÚÃ1âÑã<¿é!çsò»yENæyðϺÍþáqò½úwÞÈëäWýÞyÃ>yP×ûùŠÝQ/¬w¸)½7ì€~ÝͼÉû%ãC×é‹8'ïΧè—÷IÍGùSö÷}„x‹'À%úçûˆÄ·Ç»Â¥ÇÅÓ”×ü€Wð©Ÿ;áS×[¾øã?þĸó¶íGñ+ß·ãE‡Õ¯×Åüºú?O¹WòÙÇõ‚Ïu?‡/øü8ã²òNÈ#Þž&çm/¾·³™W]àE®¼*½'¼¤Ÿøåu~]~âzq)ù=?–õé"Î?ïìá׺~ãuáã½r\îû‚©¿ß«ý¹ÚãAõ¿ùßë<êÀzà¾×¹yÅ·ø /¼ÐOÞÈ?qÐ.문±ëqⲞ£³îUï;¯ëwÏý|¬¿vøA^ĵë[òó2ðÃwýÔq<ͼ÷{ð¾Ö[r»Ö¹ù¨ž/ÎqS¼åµëü¿|³=žáSÕ³~î`÷EÄ…}âÊÎóy\÷Éò‚~¸Â µƒkùe^ôç´?à÷Œ'œ"¹®©ý“7ý¾ëØóeòôדŸò¹çÙéÜïü+yù~;Ÿó׸s?ímž|np 9‰ÃωwÔŽ›xÒ¸->͸åûšõ<~¯u!ä½ÆQ>èïHþkçåïMõÏû€Î3¸àüØušz']‡«]?_Égõ¼ô›Üª—9¿–ï—ðî—?–?üÈøÐÿ䛸–Þ®“⧟¸ÞOü×ûõ‡iG®ßXëª_çáEÄÎâ%ÿî§ß=î“s¸—}ŸËÀç3ü; ÿ2?áý4ííºíØ-Å5ìÈû´µî‡çøKn{=;Ù£:{~Eþ÷<üþ9õ®y°ÒëyÊ{´~>b7ÿÞ¦]ââw=ñèö®g›£ú—ùî<ëü²ŽU?<Î÷m9Òyo¸Ò¯.Èñ*žu~F=lÄA\ð“\xòï6ìÈ88Wv°+ë'œÄA¼Ï§+?à.ùï¼äu½­ßoø)Þsû8D\~ŸvÑ/Np—¯Y/ØqæÞ²Çï/xÝÍú¸æUΧž\o»ÖçÝM{Zÿeèxæ:¡|_ÕqÏq¿àß«8ÏÇ8žÇùç”s“öámÔk÷êQãGx”]7e7Þ‘g~ÔóSÚ¯_¯ _=Ê|æ·qµüìyíK¯çŒìÿsàÝ÷%¯s¼Èçã¾vžíðN¼Ô‹Ìsöó¾xŸ<‘/Ùž<ùÆO¼Æףߚ×L¹/᯸gýcoòž®?D}¢÷uÚ—ó®¹~¾ó‚þ©翣žäóxç¹ßÕ¸'¼8à'|£.´Õ¿ñ”Ÿ¥×zä^ÏGúßgüÖ:¡Çiw¯;Á3××eüðD;zÅò¥ìéøâ‘øãÏŸ'/{<Æ×+NÍûç‰Ãâ‡vâòGíµ;›õ8×g5?á~û}=è÷­÷óº÷ÔYïó¹£çÕÞ¢¸z>¦ìº ÿzÿ ?"ŸÖxË?yŒWS^ß7ü¦ä‰{å—x?Ö¾…úý¦Žg|—'øEŽ<7øãzK½Õ®×éU»¾o¯¨oÍwúžf=Îõ+‚çâÑã59…›ñ·÷3â»ðe_¿Ÿ·âM®Wïõú—ܶGžk/øD|×{kxâ-ýäà»ó§÷5‹?yx‡À+×=wÞÊ~Dž7?ô»œþç}CÞ_æ{˜œ·êûkxŸ<ýð•}ò’ÁÏ\—·ê=®W¿ßW{ù»Ö%N\ó>PœJž£û0÷Õ=‹_QwzîO¯Ì¯îÇ/qÁ'u/óN—៼OÄy½—8à$.ìr]<ýùŸœÏ^óÛ3‡ô½O<gý3ÇÌÿˆóÚG<^õ(ë)?Ïç:ïu‡üü˜þù½ÇSñuäGóù«yS~ýv¬}Ïü ÿzÖãµÎQzÂkzŃþº~*|{lÖ|r~;ÇíµÏBžòKÝÕ_=ÓŽòñeÖ—æÏÅnòè5ð9Eœñ"ëÎsØñWò·ï»>¢ŸxßG~߆=¥¯ß¿]̸÷¼Qùãx4Ÿ½Ö‘ÃNíÉ »ò~`Õߟ߅è¼fÜԃljwÏ;ÞM»~©8­õˆuÞû—ª_?½ÎêXäg×jßëñK^ŸóW¿¬+⛼qý~öï<|Ÿö[šÏɽþ¾ê@Å ~kß0œå7~>Gû³Éƒ~>+?ó½Y¯Ðÿ(Oé}ŸþôøF.Üëxówu¬ßÍôº¥:ïý8ðȼ¤Çï1Žud7|àžx$/£¾õý/½â/ý²®Õy?§Tû^¿õÛ’O¼ª_®«n¿Ôuçø ‡°_OÁ‡\È“wêQ]Ïý'ë>Š>y<ï|>Åyñ¬ýÂ7ø9å¼I®WËçó滸>O¼VÝøŒöxÀ¯:š¯5ÿ뾿ùQý×w&ø¡>È7øß;žÙ¿~ïyc|ÁûÇÀƒý÷SN¾ÌûÉÜ÷Þï_Ä“}âq6õ¯ý69°çúÀþ·)gíC»šþœà‡'p᧸‹#ÿäûœ‹Kð"ç¹ó~d­?qÝQ<Ù+/K¯ïŒx¬üö»¼bŸúÆÿ·‰çZÇ™¼ƒ_Ô™µ½Î{žönÊY÷Iä‘yÖóéçõŒûZo›ü0Žð_žDýŸ›ÿõO]‡ÓÃü=ëF¿'¿šzð ÷ùàþá蹟8už­}:äàkÆ?ò¡ß»;ÞM;qùkùLïCèy™×{þã7Q/Õ™ÏÖú3ñ¡O?¼¸ ýòO=ˆ¸­÷˜ð»üè÷Ïäˆ÷ïþÒoíg&>y^ñíïÒ%×;­}Ê—~.ßð®ÚYŸÙ<<â¼Õ!<{™r:òH]À“jŸëÛsÝÝQÝÊõ8kŸOáÕû.ï&¯ú½wàÕß/§¨+¹Þ½Ç™ŠS¯Ëþcé%÷O÷Ë8Vÿþ®^âiùÓûÙå)ûŸ'ÏÌõú¯çЗu]Þ^O}ký»øЋ‡õû/õ»¸›×êûÿ_M}¹Ÿ°ï—ÙO/<œóKž¾Í~ÍŸø½×<†¿x!þÓž®ów3^Âß^$Ÿ¢®ôþ¢°»ï¢Næ¾÷^硽þÚ—ü5Á~q©v-/ë…þpúœx­cµï÷ …Û/ê$¿®BŽz“uC\Ô³º¾Ö»ñK{GõEz œÅ‹]âéGñ/œú»Fò¾¥®ý\õ%÷5ù_|]ëÄÊŽ®×ò2pÌ:½ö]º—êÏîæ³ü{|ñ;9ú‰«x‘xïûhÏ~çQÿ{|)½½Î§äõ~øÀ3_à ŸóÐÇníßfœúþŸŸÓÏ\Øë©øO?ê<¿c±Þë‡þµNP<è5.ú]{xŸõ9.}wvÂo ?÷3‡ûêÎ'®GëŠ{Þ(êáª{påŸvðÁq“_Áï\çU·Õå_×u<Ñži¼8FÜsž¢ßƒ¿MÜr]yïÏâ_Ôó¬×½?şθó»ôö~‡iGÎ{dýȼÏï0u=aÿãĵï+ØOêFõËyÒ¾ßÑ>y$Þø(ïÔéˆ_ç}gÓŸ×äKÉé÷â–|“¯ú»'ø‹WùÙu¾üËñ¼¿û”| žæºµþ=í£_ü÷»øÒ£=üüþ<å¬uN•W¿µ/˜¼§éo®—ZßiÁ+~âÇû´§ñ¥7ó”}pˆúÖϳòünæYﳎ|Xóoi½ßÇìþ9ðÊzxø=f~÷x×yþv]¨ë½.îuÊí¸'ÏÕ‡²·ýÏàIûñ1ëOòmÝÇð>úû]ÿ_ÒŽ—°ƒŸ!~q¬x÷s.<àI¾uüå7_Ù“ùÕωYgà)¾ü œ×:B¼Åíñˆ=Á§|Þi¿´u¾òH|îç±å°¿äôº+vËÛÈ»\GÕyw3>G¼oÿª_ß<†}Ó®ŽkÊ »ó¾·÷/Âá OsÒáý›¸—¨Ck>¼ìîuŠâíúOq$7qvî(~šxwÜo§}YOÖóÿåiÅ©óõvÆ%÷ÿæ:†ÞÏ÷¸Eõ^¦ï»Ä›ŸäUûõÜSqi;ñŽ®ËëégÇ>ð¿~džÔñ?NœÖ¸yÕóõu½×¹ˆßë´#×›ôú¿’“ë ú{=ê<ñ¥âº¾'å:ž‹Gòüuڳ拟âº8‰_Öü Þô¹xÂ%â’ßw_û\Ko¿Ç—õ«ßçÈçâMÞ_õ}aÖ‡³içZwÈ_xºÎŽˆ¯Ÿ¹ŒßŇÞú½ŸËÙ+_ٟLj›¼Èz¨_Ô—\ÇÞ÷á§ïñÍù°üÞtËe‡ß]—oâ‡GåïzÿøGž÷ýéË}•kNá’ëßsüí÷•úÑ«=ÿð†½Žqþ4q:Z‡³ök8’§Uü!Žk¸øæ‘ÝêÊóÌõŸ]݃gÔƒÃýtyÎOü„÷ãÄ­ëEäùšGƒãYăü+ûՅ΋Èï~¿‹_‰?=ú»õz=ïñÿþ]ß®ŸO²Þ$/Ù­}Éëu|ìÂ×ê×ïßÅWe^DÞ¯ýíì/¿{\¤O;þÑçücêͺÔϽòîÆÅj×ïe/ç±ß?i÷눿ðÈ‘|ö•½­ÿŃ~Áóiò"ói­§'‡||s~9íÉïz¬ïõÈ—ÈÏ×ðµðo¾ˆ£þx¼ïûáŒþôŠcäEó<Žë;B~wžò ÏžöàáÅô'ÿ~Aóþ¬?pÕ_>œfò{ågÙ³öiF¾Ýˆ;{Õx¿OùëþDÿ²ï¾ãQõW'šGå>w­u&/aœµ{›×³~´Ÿ¿|[ãôÕ<ÏýSkþ¾Çœ/³Þ£ŸçÉç_ð¾í*¿{Þ²ä÷ßøÓŒc߇D>­û0¿¯{ž@¼øõh­ƒy9h/>äÁKœÅE}ˆ¼k}Á£µÿ^ô|ÄïÁ×õ]–û©ï$¯ð½ôy]ûËÔ3òJ~¯sg»Ï§Ÿë¾Ï9ûϧÿ]7ðˆüþsñ¸ü6ïµÖ³ò/Î3¿ÖwbK^îã^÷)âªßKøÉnyÂíƒOkž€½i=äŸ×~8Évg}Ö½G·?Ÿø¯ç õácêéç•Š‡÷®ý^2ó7ä÷s}ù{S××þQö¨7ÁÓõ^¬üÌñ#¿Ûû4Âö7êÌz¿B<àgyÀŸÛ¸o?ú{gwá¿öÕ®×'—¾þ>´8_†]ïSïú>1»á\~çwÔ²^w= ¿Ö:Gñ9›r{ÜÅǺžïÓ{þƒð¡ÿ#ìÃïàq?õôü×þ9v©aßš×¹ˆ¸ÀoÊî¾/gŸøªäÀO#¾gawò þâÁŸ×Ù¯ãözµ“x†Opb_ð¶ß›”Ý=ÿí>¦Ü~c‡üˆq¥çYJ~ó*ãUíz~•~öó >åoÏç¿MÜ{œºŸyßx‹«8²«ôõz•òç—ÌKýØ“|¦¿~ïç.|À§àeÞ7÷ó·¼ægÉÏõèyß¾¾@?<†Ýôú½pÉù–_>fÈõ0ë½NÖ)ùüî÷ßé~xgõ»÷nþ^xÿ}ÍàËZÏ}šþ¯õšø¼mñÛQþ³7ë‚oëù·ôwÈ<£Où ·:zN0¿‘û1ó;¹^¹ëZÔƒ\p´sÍ/‰žÑëúåôcÝg¨w®Ó+ŽúE=ÊûÁ¶7Æv}§8畺nó®§éWǹâ×è.ôÖyÏWò‡Ü«À%ê]Îkõ}»ÕÙä9=p(¼z=•:öë¿œ÷ºAú².•¿½Þ±ì]—¬®wÑ.ðç/~–ž~¯£¿:&ä >ŸM»r]fÖËü>Wó•]ô^F»yì¼"OÕålj_¾‡Ê¿_³¾k§=ÜÈå?>Tüð ÿÖx[qíö~vʸÊëËiÿ=Ã’ÛÏ•¿šñìõ),þáúúzß[ÿOø*Ÿôƒ »µsÝò\>ÜOÖzÛÏkú/Š÷êl¿/OÁÓ¾W7å©ßåOÔƒ¼¿ìúÂ?<âè[ïWÅ]|=ðõ»|ÐOÝ&ïsÚÑïoا®È¸ÈOxÜO?<õ¾)õ‡ÿø˜ãgð#÷ãv= »Žî{ñ0çß~'Çзö©ßNÜrÝÚÑýv~­óK>ˆ;¹—“‡=>8öŽp<ø°]Ñ/çÓÏ]7 ~o~vÞáÝgÈÅýõ£/7÷k½NÉ_ãéãô³ó•½ÇÆ¥âÐßõ`{ä¯q!ê&9ùµNžúþúÃ7Ç·ü^Åú;å¹õ{ÿ0<ïOSÞÑw›ºŽâá㔳ÞÓˆ9ê? O<èqÿ>äÜN;r^·y§Þó^ì¬~}ÁG~Àž¨'ë=ŠþêóYØEù§ð_]ÒïvÚ³ÞËÁóþéw;ýïùÄ_ïñ€]wÓïÕ­ò·çž#>YG¢^vÝ.nàãA¿o)üOo3O¬gÂ#ëÇä©ök"ÜÔ#þîù|Òó¡ô¿O\×ü*»þ>®—ÿ½/ë¼yVz×:(ùÇgã.n…_¿§âWòRÞé'Ù‰ŸìGuBâ[ÙßÏW¯WöG^¬÷èüÃkíôs=y¨ÝGô¯~k=¸:@Ÿ8ÄqÝŸ²C¾ü*ø®ŸvüÆ3yõ<¯¯z̾ÄGû:Ú'Õ¼'§âÛ§ìiÊm½ø#î§ÙñÒ9<£ßú{Ô¹~.-þ®:Ï<;›ú?qez‡×ø!ßÆ-ò£õá5ÜNSoç*êR¯¯GrØ-ÿÙy»øk|Q¯È«vù]äœd_Î'å<৿¸â ÿJ_χè‡/òècþžß‘Z¦ýüóò½?¾k=C¿·ã¹êEéíûQ<øÏ%®WK^ÇáyêËçžþž|…ë)âeœˆøøŽh®;^ëø#Oèc}ò@;ýä¹ø‰+}o³®ƒíñTý’¿â‡Gâ ·³°óaâÓqO;Õ·ÀÍyÿ_ñýóÄ»ë9Q7ú~N¿çÙ¾ý*ûÍSçü{ç¤ðéûGù~ãƒü‘ŸÁ³þû—ózóÖ9=ê¡xùýeÚ½öO⼊7}?Ë^ñ?^àÛ}#¯×{ÁÒ×ãD÷sõ«=ÿog½íõûô”]¿°S]0þ”žœÇ½‰c®3îùr´——™'/Óÿ^WS¿w½/—ÎÛ»§^J¾xFþ÷ý§¸é—zµSÏ´WG®gûî'OðV¾$òú-ü!O|à~§žÛ°Óï‡~ÏÌ.çâö›é_¯Òž|ö¾M¿ú{'ìdwê—Пë[>;üÎߨ#=ߢžËCü‘§x[ù”ßç[ïÓ2~QOš÷ì÷»<Å·Çðë)òãsâ˜û ×~,çpç8ÿœò<_f¾®}eò=øoõoð¶ìëûö²³÷Ÿ±‡öË3úä!¾ˆÇÇô»ë_Ô‹µ.¬â×ëAKN¿?ûÓ¬¹~¼ŸSåCÙ—ßÍ[ïIás”¿âXüÉï>õx ußøQøõº+çp{ýÞ¿ÆU>:'?ë&?Ä'ë\ðã|Úß|âçõ´Ë>·µÞ–Ÿe}¾=üÓÔßãËǼÞßdùìçâpTä\KN®ùýÖ>.<5Ίüê¼çïðE|².ÈkqÊ8À™ßúËCG|¦'üíù8†~ÀGùœö®çUþi‡'ÚÁ“~d=¦7ä7.ô8¯ÈÃŽKÄ7¿´ä±“þÂý÷u=÷ƒtÇy×Kø¨âŠ?ÚU¿ÞïÎþúý—ßÎxä{Úµ.¹âÔ6êKïK¿›¸õûá_•²§ôu]€»|ÂÃ’×ûmï¦Þ~‘_~WOõ3~ˆ#Üøó~Ðÿ1å­|ñ;=êäSȹ~츛ý{ËõòëGÚo|“ï3îÍ·â¥ûèÞgÏNq¬v]Ù|XëžÙ%¯&Þ½¾D~ˆoéïõ:䞦Ÿ¹/«ýSçÈüœòｔŸ¿”Ÿý¼Uq[ñº’ó =ò§ÂßõËéô8Kûäù¯gþv¹ ÜÄï.&}½ôö{ñÆãÏ©§Ÿ·#;ßµ——òJ½—ŠwÏkƸÔÏÕâ¯>Ð_êª<ž6Šw9ž¯}œê•sõϯ&ùþ¡ŸwðOågð³ù¨Ÿü8M¼:ÿËÿ^§¼ÌñºÇ¼zŸx­ïž&ö´?‘×¹>q½OåOÙ³Þ3¿F^8ªÁ‹æ/Ù/®øG>üä—ü„ÇQ¾%JΩâ©Nd>ä>Îæ{æ¥zWöö¸È?rØûöú]]—7ò‘?ù^¡ï~UrÕ£ÒÓó†êOéëq¸x™ëüÖúÿëУ?\JNï³ùsýà"[§ ßðÏÕŸ²g½g?x‰‹:âúkȯv§‡©§yÏNõ2ÎÏjßÏçê\áÙó¼Ú;§ñ&ó÷súÇnëz½3œå»x¤ÿÅ_÷‰}ßG¾8Ñx÷|#žªô¥½ðb×y´W×Ëþ^'HŽ~üL>ª+pÃ?¼|šñÎûÞ^·È/|”ü€¾ÑÃGúð³úe}î¼<7¼Mûš7øÿ÷éO~o­qWW#Ïú¾ŒýÚG=î#\ø¯žý¹ôã 9‰WéÏq®çóª]ßçTuÔ r#oÖ>¨?ù]‰~/†ïì—§—S¿û}õš½y_×ò¢Žå8Øy‚7Á‡^7ãMßD¼ÖwÇØ/oñB=|¼˜ø4ÿäÆ¥ô¬ýnâ¥]؇ë}~±¿ôÞ¦_ùóõO|eÙ‘÷“êSÇžå¾û]ýÎïÝ.\Øs5ó¤ëÜÓ_ù,ŽxE\#oÖúz¸Ôy~c½÷ýœÇæ¹Qw×zÒÒ×ÿ6pèï§9êϼ.½î‹rg׋Ì'yt?íïxˆ7?OÓÿ®ïÓïü®Hãõ¨ë¸úœùÀ·¸öö÷ßÎ'¾¹Î'×tÁ{ñW?¦]ë¹þ‡\ß÷{eGîËÍýÖýwøyØã7¼èÅ ú🟧k^ò .ð/{zþMÜé¹ ÿÉÃ÷Èv6¿7ñ·µOU<Ÿ^Ç€÷8eR7‚gý\gq‚ßùįϧ\×s_U®¿ËõvÉçõ¾H<øïˆk¿ÿ¨xØ[qîï ácò¡ô÷úÓûÙ®ù¡Î¯×z<íððçºÞï%ƒ·_®KÍq8¿Gz´^­ýó»ü”Çx)ßCκ¯‡{â#Þô‹wùÑù‹øí\^à-ûáX¿¯ù8âKÙ¡þ¬÷ŽxæˆÏá_Îkä{Óμû \Ä ÞÕ¿ïÔ7viO®v™·™—pŽ<Èuk>äiÆ#ßkµöÃ¥Î{ú=ò`í› ½ìÄߧɇæ‹#=pP‡‚—ëwrÅ‹}x¿;Š¿#ß»žóS;úßæï=ÿpu;xœõW]=¼ßÄW|c?ûà Nìñ;y'öõßeÇKø ŠG߈}QÖ÷ªðÚQœàCîßO¾çxÛïþ|½ žÀ.òŸÞã:<ª}× ~ÐãzÉïyùˆÏüÃ/veÝd<áÿ9ãG_ßwùŸøæœ=â8®ûC¿—üþN {ñäzúÓë‡äû²¿cæ§ú%N%·ý 9kÿ±xT{÷æ!W>Áƒ=pprû¾Uü²nÀM˯õw|ÈŸü*^õýgÚ}u(ë(ý‘×ë;uÞ÷%o³~®ïÏÞ_ö’ó…ð†¿÷ÓÎäÏémúsv¯ºr8ù]ÖÜï}Rïá·à_~_¾ùI¾~aOî;íøE]µ^µã÷›:þCéå/þÃ9òq½—aOÝÇõûÜ×Ù¾í/|Hyô‰Wø³Ö—óë·užä–ù½÷#ýGãHÞ÷<»þa_ÇS¾‹'?+ï~„?¹¿6×­ï—'oñ¹ò³ÿnŒ~êKÔ™žßSÄN~‡ »ù§nè'?ñü6p`ßå‹vú¿Ìq0וõ¼óCàø&n£}ñc½W§Ì¿:ºZã¹z q’·ðeŸºÂñâWáÙßk”xšõIÜ#¿×w ø öG=êºö8ø>xø÷{bzáP¸­uœÆyíüyú»ö©V»Óe´c¸ÎïÇ°áü<ýÍyºÎñL^Ñû<íhýÅKóŒ9_™Ïëy£âáþêÄní —~®Ä#¼”Ç껫]¯ xšööü2Üôžd}¸)ÿNéOõë÷w|ÈýùýJõm­{SOñJÎzyXzò;kÞ#ëÜɃ“:GÞÕ´3çÿÖ÷R«]®_u¡ôÿÀsùË|ßsüÏõ@ë9$ó&øÑq/GöÉ/ñã·vä•Ÿý>¬ú[§•ßUéy«°£q¨óuŸ dz×éŠçÃŒGÎ[ç|]¯ÃŒüðð÷yâѼ֎ŸìŠz—ß©ê÷x|ëzâ(쇻ãÙ¬Ëý^ú}ê_Ïõû ÞOÿzÂoʸ²CG=o~ŠœèzÖóöY×.gþçþôµ¿ÎøWúð‰|¼%Þ¦¿kPþÝ?ë2F¼zÝ0|²^ˆ§ësÜ¿ÃýSäó÷iæsß÷œ&þ¯Ú³ïãÀnýñõ#®Ãƒôª?pó;¿ÅU>ð÷uæçÖû×Û)}ÿ/ù_úû9np‘¯SoÏïÔéõ¾œy¼ëqI{yÀëÉÏáo®§[ïe鹞GÏõ½ÏKÜ«ýÑýC×vOnROåQÏ|D;â6x¥?ûÕræïk^;ìYóÕ®ùð2ñêû©Ô«ÞÒ¯|­ë½Ž BN¯÷açûÔßû„àGñ4ó5p§—rœÃvêÏN~Ÿûûùƒ%·÷%žô‰^EÝh?’…G'$êâª/çU¯\ŸxdÈuF=.Š \ðÁ¹þâyß5`wËá…_âp5qø¡î%ñC|া«·1N6ÿäKòZ{òù §ÂÍ{¸¶G¼É ½ë>Ãuñ |rÆzÞáü®CžËoòè͸W»ž×`ÏeðäyÖ‰®“÷Á_ñÂùÍÞ²§å–Ý7aÛYþç¼]÷ÃSíéc¿±õÓËŸ·ðèaé_ë®^C×öïï¯Æƒ}úÉkÇê×ï‘ïöïøÍO|yž×[þåÌ‹5Ÿ$K_¯ç`÷Y´Wïày9ãÛï»ï§?=ï•uónâÚøÁ7ýä?áCÄ©ñ×?Ôq8ñƒ|¸á-}~W7äwwž–ܸ9²G¾‹/³.º®Ú öžO»šçÎñΗÓ/'ŸOäοü}Ù©^Ôõæ¸<Íãºïa/\ŸµoKoÎO¯ï$³/òºåk/Î/ÁëÈ«ü^ÈÚ‹üN^ŸàÏϨëï;óOØE/»á«„þä3?JOßßÈv—øÐÏ¡ð>…ózßò·ðéçü`oàšóñí¿xj/Nú%ïøsš¿/ûÙ©?¿éÁC¼Éº<^ó<âËNýøWöv=ͼÑÏžBoÖKq›v5OÂþN¿ðP½ˆüXyÆ_uêuÖ±®¿â…÷‘ä–=¾?ÕuáAÿå÷òrÝoî YO?¿”_xx~À³õý8xªSeÏ/ÿ±âÎ.ùN¾ëâEŽvpæOÙÑû¶ªÜú{Æ%·÷}ŸÔÉÄþTçx‡¯x}çp ù¹^4ëãšßy›úºîÆï7ð›ßƒïký\âŠÇq?‘ßgéùlñ8Óë:<ËÏ^ ÷пæçëØïGä#û_f¿¶7yî\yª?^áøUç}ŸÎ®?Mž·œó)Gœr>9÷1溥õ}©àsדÒû£®ç¼[×wxG>åºäq¯ÿ"Ÿð\¿Â³ß+‘ Ov^NýÝÅ.Îá\~­ïÎñ‹~|‡§Ë^×Qööý(üáó¿‹3¾‘£^°¯ò»Ç­ú½ó?ñ$úý/þñ~ïyKùï´«ä·¿ò8ò¢ë&œîf=Zï½]zÒëƒØ+Naî7X÷=ì(Ürýç/ðÆüå×ûÄy}7É9¿ñO~ÑžÏÐWøä<¹ý=]'çq½G%_¼á›yþ:íïxŠßË´£¿/&¿ü~¸è/âWö7¯Ø)~ây×uMÈsŒz¶öE>M|r>º×/³—<ø—Ý=J>Ê·ä ?Õ¿ó÷)ô†]ë»Y/àñÏûç¾ýãäcÇ ¯.BŽº wí®&/²>Ÿæú³ü;Ik_‰ú[ò­ôý±Þ_ñ›’s6ñjœñ ŽâÄ^vàwäaÛ%Oè öw,Jn÷Vßq„7ž<Îë뽆|ó;ò}ágîûËû¶u?Š_ä–Þwà§]àØrÕ‹çiOã~½Dn§}}½ÎÍ“ªÛ¿ñ >Wa§ü<Â_r¢ÎôwÔè§G?xðóaû~ðmòfñG<¯¦Ÿë¾L»÷‰ÛÏêJÖ9xà¯|„cý~ ;Ö¼ }âh|Á'òÊ8°O»ºÞu¿žf¼Ö~`ñsnüÀ¿»)͉CùÝxÀ ÿ2Ïા=‡]ðã—/ÕùÐ×õ¶ä®çm<%?ò¼ß—á{O3Oð+÷±ößç*}Ö×u<Ä“ôð3ø—ßáÈñ¼¿/z>Ç“~¹ýz= ø_íó»†]ÇÕ˧©}'åyâ±êfÉßžÏvÊžÞÿñèçœ_Mžæû–üÎBÏ©_‘‡Ÿâ÷¬òé!p¡—<|¾ˆþp"W¿‡‰O¾‡iyø®Ø%_£n®ï‚gÞÁ7ëÞÛŒóBïŠS®Kíç@ñåÞÝO|rÝêšWgWâ"¾ì…kæyìz ¹Îáõ¡ãÍy#úeýŸ’×ñ<° ï?§ý?<•?ÚËCzÂÎ?ñqãðïÀNô‰ûµc§ºQ<Ìï%ý|R~ôûZ¿kõq½'U¿àõ+çs;ÿ2ÎøÊþˆçz¾%Ÿ>öˆKàwC.{΢ŸøãÓ]à¸çýT¯ oñâ;«ÿ×õC{ד7â žŽ=ŽF]M&Î}ßRxõ:íÄŸ_ÚÖzpu¢ììûwqƒkðb­W'È?ñÕþ2äËãÈ¿aG¿ ¹ýÝœ*=øñl»>ö×±×qUÿ~ž þ­ûoçÿµÆŸ£.ô:ú:o9üÀwyqõIðÁyÔ­®/øõ›Âñ×Ó¯®KÉO|¯vÖqç>­¼éû·—ioǾcΫ®çr×ï¿ÇuÝŸÁŽðÃ/¼tN¿sù_zä |KOßïûôõ< ùäá \^fÿUw‹7gaG´Ëûø\×ÐøÈ—ŒÞù÷κ.±G>‘Ë<Ïø)™w)÷>ìÁ~e9›íÖ¾©³içšÇÃcuøïæ¸×þE}þ9ñUàWy—ëJú¾ÁC})üÍOözm~e] ?pèø°3q~˜þæøØþëýÖ~Zx»®îËŸÈcx˜×É÷ük>ßxÀyñ¸ê¯Ž°ƒÿ¯‹ºðvÐ?óNe_w¿Õþ~ÂEÜÃý4ñÈûЮÕo}7_ϧý­ÿaö[ÏåÇzþ({û9F¿Ëß%ŽÆù¡óËiwËì}šx®ù |ø˜ö4~ø ÷’ÛûjéÓž]Õ¯çÁá —!?ðï÷ùx„'ôVÿõw‘ß#>pO<–—p¯þ}ߌÁ×£ùŠþ^%>Ÿ—ýò%·ï“àô4Ïó½ïzßÉ>xè/Nô%®Q?Ö}\ø¹Öi‘ o<"_¨ó_þ\q‡’ßu&ü]ëeá(ô ~çýt®ÇXóÅê>üä"rŸf¯/Â?ã ;Oxøuû£8\L>uý} {‚o«þæx‚ð.»z>Áuõ‡%ççp}Çį¿ÛËŽÈÛõ½ƒëyžûCú>*øœëLòy«ãKêaµ[ëh¿ž×†Ûmà|ò7äàø«‹ø|=íYë7+?o>æõuÿÎ^ù|àWëÁ—Î7òòõ|íÛòûSÈM¤^vÁ¹üìñ÷iêï<Ä[úÄ…]üúÙõ Þü‹ñ$ÇÑžï×NÞá‘xE\s¿P~‡h½O¥ïiâ¿žùãÉš_‹8>ýžÀïò.x½Öcþ+Oá¡žÕÑz¹õ÷Å'øÔãgáÒûÏÅí#숼[ïcÅÏŽw3¾ë;Ì%§ß[ª;¥gÍ ãzðvÕõ"_›øôúœ¯ÖþUñÃÃ_ô¿¯yxòg}ëõBäÑw6ýé¼¹ŠøáQä{~§k}Ï Á×þ> ü¦]í¿8$ßã<Ÿ[Ösþ¥]ŽpÁ{çø"Þ9®\Äïòõ§’ wyñuüû¿\w?–õ¨ïGàLNá“ßsZ÷ËYÏñFü'^ýýŸ¿«~øC^â!>$OÄîa÷z^„¯xñÇïÉëëðC^²ë:ìç{žýÿÃõ@Å£ü>@Þ‡¯}ñòoðŒòùbÊËõŒy}Ù™|çøé÷ûÙ¾y(ŽÚ^ëy–^|‹zq#žì¥.™GâãWk9Ž±ç9ä³W{ãÀÛA<È™r{YÊÓ¾ÚýxŒñ„üq¯¯—þ“<¸˜ò×ü'Ň½ä²›ü‹éwãÚ“#žx _ødÝwí·ïSßš—„Ù)~ѯã&¯ð³ìíï À+ƣ܇–ïíõN~_Í_¯û÷àyæ}µ¿ùÇÒ÷<ý¢·×[ÂU8‰Wsßaç ýâÅ^uN¾« O~t½Ë:¥ýk\§_¼èe7žÂMø#þ¥·ï[ðà=ü!¿ùsà×âSò™^q‰¼ëúRväþì\ï°Ö'àiÉëõ‰¯:ÏŽŠ×úÞæKèÃgq`WàÞórô\xòvòGÜŃ\×Å#ò3¿§ºÖû¨Ÿì'vžNáO¿×Þ1êCó#ìíqD{y|m\þTü¬øä¾Ë\¿ßu6¯«Kâ'uI¼ñ’x¼n¹OS~óÖõ«àyâB.½ò*yÂ/8Tû^—ö«ŠÞÂÎ/—\¿ÖrÃ?ø!ŽpŒºØë{#.]Ïý=Or¾¨û݆ýø¼äzÿý¯¢ygӮ·ŠÛÿ”|«~ý÷JįÔçìø»áÀï—Ù®õ…?ë=‹ø³3y(îô㥺#oSNûöæ{Óµ>†ýø+¯ä »/¦þµïŠO¡ÿ*ò>yÏrÜÊõ½×ßÏämÙï~á”|¼Ê8G¼×븶=úGÞô¸]øü;þ¾Mûék{×›<þ}é…~èÏö—Ÿë½¯:Ç.z埼Á›º~£ßuè=âc]7oÖ߯f¼üŽ÷á¼ðírâ·ÖsW»5ïã(Osæ¼Ø×óï!öü }ü+=ø–ÏëÝžßxv”ž~o!þì#?OÓïÆ£âÒ÷+øù×÷)uìu~¥¿çqŠ?ù^*߯¬y¶èßï¹.#ÎYgØc\Oõÿ*ý>~õ oȉ:¸žÙUúsÙú~ü^úýÝÄœî:,Ÿè‰¼\÷»ì/ùœyHúõ'¿§óˆë=1yìüMã^Dþ¬ï`œ…>øåïOíåÍÛô׺5Þœ‡||Äã<ê÷Îgúƒ—k>-x£nç÷LRŸz±îCÉe¸hWöíÍ÷Œ«f}`—º£¿ñ'êM…wÏ¿þñ/×Oi¿úø|_qs®àƒ¼{š8v¿MsýiÞ/¯õe~/}+ùøÎ^~ž×Ã}eò®…¿ï¿WSÎZ_E~Æ‹=%¿íã¿|üYïsáõrùáºü©~½¿™}òNp•÷p¿›ø¯ßéK;Å•\üÇ'xË'öóŸŸÓ¾\G’÷˹"ç¥×¾GqäûÄo³Þ‰»úô›Y/×÷e"¾ù\‘ï s¿èÚ‰oâXñí÷öäÂ_|ò÷êç9¤çÏΧk^[=);Œk?HÔÛ5/Ì.ãÔõôgÝÿ‡½Î¶øØ·ò7Ç­oû~Uœ ϵ>+ää>ÔÎãà}®£ÉýXk]±ºL~äOÇŸÿX~à{Ù“ãƒ#áÁ><ôû]øË^ñÀ“·yìïÊLjoïG.¾ôûyí ÇŽÃsØÁ_q$ŸÉ‘çx%_*>„žÆWœéW'à+Nâ)îÚ•—”¯Î¨â/_Ä;êNߟÐþƒºÖó4Ú?¯ã¸Ö‡%þ®“'ÎÁ×~yÐøã{ð >â¼_ï;áqË¿œëº®9O¾’ÿ8õ¶ÿ…÷ ûèù˜ús¾¢íxšúŽ¾•u¦÷µhÿzñŠ]ø .k6ã¼¾‡˜õ6x¹Ö‘©SÚ?ü}ñ5®9–ý½îIüáï?M^üzü‰ºœqYÏ»â}1qZëHü^ù"¿ÛîÂaý½u‰^õ#ó@轚ró;7®<ç§|Öž¾:â{Ï3$Þaoþ»5ñxÁ‡þ÷‡Î7ñIÞ²ƒøÀï}â³øâÿ®'y¿¾æc¿õ}MöËO~³+ùƒWŽðÔ.ìYß]s½úõ÷ C{ñ?á|r3^ñ»zêœÿx†¿ì-Ü{}ŒþôácÄ%÷Õöûqùþ‰/}ì¢^Áÿ<®ýY®ßO½k^žÞ²ãß?ÊoÇæEù“ßã8úØZ·¥Ÿ¼­ükÿÄQ\Ô8‰?ÿàyßïaø/®÷z6þ„­OœŸfœ×xƒïôV¿æ}áßÏiÚ9/?r>My9ïšõñ†¼‹é_·'OÜÅó~â»ÞƒâGÖøªcüøV»æ±xeÞOøÁNrÞ§Þækéµ*ë~®“^õ/pïû!òáF®óàE®×ÉçÖ^÷ô2ó²ù]qèｺï/È‹8庄õw/È'¯á€gäáoÖ…ËégÞ/å¾°öW;ñLJËÐ/nì‚kð0÷…7/Õqà¼*^ùݘµÿø£ã{É[ßÇ| ܯ¦=ù~e­Ë€£sý“Qwúº~üsþð'÷IåóöÚï >x/轋öpÐ^~kçw¸ðW»¬£âˆx~>õäßS‡šÿü‡kæ{Éëï†~†œ¬ì®ëÍçûiG®k]ëCð™¾÷çÿÙšø­ù2øàqø›û‚ò½ÁÚGã(NÏÓîœ?^ü½Gq>á_ÔÝõ(zñüâUwÿ1ò”ÿ‘7ý¾ßñKÞðã>Úe½‹ü]ës*Gï9ú}«~1^t=}öä¼f·‡¿·5¿…Ç…ÏÚGQ¸äú~.¢žâÁÚ/]¿÷ówÖ#×Å5ìË},9Îæ}f?÷ñ‡|øE½êùèê×÷uü¤/ë¥:˜ùè<ðìûq+{Nâ‰wò_ž'îk]}Ô·¾ÿ){¬«Ê÷.=žâ9ÿ?§ëï㛺éw~²ßÞ&^ÍG~V¿–ƒgð} =ø¤¾_ržªù†÷Åï®ÏÓ®|žÉ¿Ÿ-ßã®÷¾ä²C#oñô~ÊM½Hy·qÎ>ù7¿³?ž¦½ë{:/·µ®Õ¹ºð9û­ç–°3¿Û´¾‹N^ð"ï_s]ÓáwÂàŽÿé?ÜžíW¼òV»¬pc¿|UÇø{þàSÖ9~¿…=QïŽö·ÿˆv™§9¯ñ |ž¢Ÿ|-ù]_³þð'êY¿ŸÁËûÀ‰½ò‡ÿì…ßÛ´}7 /Ä—^|Uù)îäˆx:ŠwÔ¥œWË¿ï¼¾O¥>á?»§¾›ÿùyvgxžö¯÷¿ì¦ÿ¦ýkþA½d/œéƒoééý^âª?œ’ç³ó‘žëiWߟUÜz}yäy/—ÿø†gð&_Þð3ëŒü{Ÿzò}üzßÏìyžxæýñºÏc÷iæßzï…ôâ±8j'^ü¿vì»{]Œzó<Û¯¸‰'û¯BOÄ#×U½Y÷•üáßmćâ§?üðòjÚƒ×]¯+Nî§ûþÇ1ò£ç‹²Ná» ÇÞwUýó;‹9Þ®yÛ¨“ýGó»}_ =œù™¸fûÈ£|þëûq<‚CÙÙÏCÁÇõüëuNüIÜÓ¼—x ínÃ?8«Kä–œ5ï"åQûy2ñ#O|NqžùùÖíñšÿìÒîpˆ¸öùûÄ«×Aà…ëwSÞú.zÄÿhÆáþÈã^÷Rz¬·ìqKü².¨+äñSž° /N‡\7ÒöÎ9oÝû˜ð츟q\ë𾥯׹U»>âCɵN¥ŸwøÁî°«Ç3qeŸx–_½oƒßQ·z<äÇsÈc'¿ÙøeÝô;9Wa_Í~¹´ã'ìÐ/òóhßpî[ß·qä¯óÛ‡ÜoÝ÷ÿüÄKçìz›q]ïÉçÿuà ŧó;â’ïÝz<ü௟xW\ô+ûò>¤ó‰½òY{¸á]äu®§è:_þßFœªýZßP~xoÐõîxŒ—‘Ç+Ÿ³.°ëbÚÝq¹ùeW¯ï‘'xùÛu âkž¬×yÂ#ìXÏ=Žâ­®¤Ÿú?L9=¯"Þ™§ïSÿ/¿<ñHüé9ÇÖ>zñúlÊ…KG|ðö9®“«>ÀY^Ã)âšëÙÖ}ˆ8ŸçÚá'?ñ_ƒ79¿Ù÷ia·w.õ“'un|h9¡wýD<‚³øÞ‡ñ„»¸e]Á/8á-|È£WÞ:¼§ÀÛuþE>¤k}/y®GÎûü^óOx÷ö¾Eÿ°s͇Ež§]kÿIò¸Ú¯ïj—¹.þˆOÖÞ§?ÝN}H^°.·|?—u´ÇöEZ÷GâÇ?rÓ^ýà~àðíÓ”ìÒ?êHû'Þâšvh—¼e_åg¾/éø;ª³pvk+¹ìÑ>êfÎóíPw~ùíÇÖ}Vð,×v=Ñî4ñ]yàø6ýn}x÷9yÝÏ åo¿Og<ëœ_k]ÓãÄ+ç­úüiú8¯ís}l?gÖ>Él'ÏÂïýÙUíú{¥ͯg¾°×¹vpÁ+¿OWÝ.;Åe­“û˜¸ôû7vÃCýf¯<=ë9ŸèÁS8eþd^¼M|ó½è¼yˆæõ|®_ïÉáþö½žõ~÷lÊMÍõý.{">‡ó ÉÛôãû£:žòÂùsøy£¿~QgÚ~â¥|Ãç°¿¿/¤~á‹<Ð^™§øù~ôw»NOº®±/âÓóƒôjÏž²{Í'ëywCÎSøC|åïJ_ý¾ž3/g¼ó¹ºy•öó¿’W%Ïúý^Ÿ*¿ßf|×>Zx?ÍãúäË<Ïõ(kýÑùŒÏšÂ+ù›vϺŽ±?y‚ÏÕÞsÖƒß×÷ÎŒ p·¨¯Ý.ðXß ﻨ_üò»¸ê‡…Û/~Ï8’§={£5/ƒï½Þ,íuÏð_³¾ã-žºç§ð«ò¶×ŲWœ²^©·õ÷õÄ.Ÿ3>ë» ¯Ó¿~ϼÍ÷ÆÍ;|„;ùê³xÝÍ~Gë@û»ôFý[ÏßxÁžÈ³µÞQ=Òž_ä²ó1ü>õø*.%¯ù$NôÀá1ðà»à¼j\Ù£=>‰ƒüŽ¸­÷‘‘ï?‚_=>¨eo/ßK_ïŸ ?ÕåßLžö¾ü§°¿ä£ú«<Âñ}œöæ÷BÛo¼©v}ÿ"?ÄM?f^ô}Ùû´#Ÿ÷úûƒò àúþÀ™x7äÀì‘çøAOð½ëuáÐø¼Müú{7ây+Žâ ^].äßMÿ×÷³œ³ã"ðÁs8jÿ0õ亣µÎÿiâsø=öÃSùTr»À¿Ž½®ë<â ¾eïïËÎÞ߃p=¼øO8é§nT»Òžð§Û.êÚoK>½âr=®Ã€Wò”žŸ¦ü5ŸIÞïò>2÷IäõSõï¿w¦}ò˜ßòîsÚwâ·¼Á8¾îO»>½NÜsŸGçÞá…ëêMñ·ë|àí×¼ÁcÄ'òn}A½TŸðSÝϺ .äÝO¹¹/n=çÂK}¯Â÷Tíz¿äüáÀ§øýnúÛ¸^M?û½!»Õ¡Ï°SüÄ>pg/ýð >ô¸ª]òE½ œs¾)×3®÷/WÓþµNø~žçº¿ÜµöQð_>âkøßõ?B^ûÍ?¼­ëù]—Ï:Ïu¹o7ýìyS~è_ñé÷ùpa§øñû>ô‹ÜãØ¿ïÓø çÌû<—OôT¼­ïßzÿÀ¾ÛiçšÄ~e=•—äá•ãcè—ûéo×!q'õD{8²?~W箳'ó?ø¾æé駲;ï£ó¾²ïÇä¼ôÓ¾Îs?ßÚç,Nê<åOÔ±~oBÞÅäÛúžöø·ƒz¸Öwâ]òÉ9^Þ§‰_ï[yvuÝ'¹ÉrÅA{G<¦·øØï[ô ¼óïEö|§:Pýzv¡¿ï'àUqï÷4¯òëÄOüÏ|P?Øí¯^f¿ž—jw“üˆººö«ÕõÞ—É/¸°Sûˆ{Ûùúà†×âÀn<:ÍãÚov>õô< œØ‰Ïêùâ™ùøxÈ—¨gkýcòê%ô“OŸ<‡“sí_'r}N×9~ÖwîÄ _ƒ_yßã²8é_~õ:®È“æcõ÷~¾ŸÅõuÊ]Ï“ð¬qžu¤Ú¯ïm•Þ~«gòR<ùó6ûå{¯õ} ùœu²ô¯çxúî¢ßÃô?ß®ý eGß«[ê„:oø•ß ^ëF£Ž®zˆÏ‘Ÿ=n¨¯xè÷ÌË—i_Ï£°SüÔµûð‡öÔ±ý¯ßóývûÁ.íðˆâ$>ÕoÍóóaÚ‘ãs_E‘[öõºmyw?ãØ÷!ç—Ä+÷+ôß;Ãkrð«®ß”½ý{ñ%/â¹êªëòY]'­ûl¿ð†8ŠÁ]|"ïÖ{=ýKn流¼ÌùâŸ]üûû âwçúÁ›½Ž…W¿7e/\‚Oë½ZâÏ¿äåôÇ÷™úþP<’7òG<›rò}ÅúÎ<û«]ÿ7ô¯ùÎŒGò©äöû±Ë©7×ݬï¨Y»ÎýØ/^ô\.ÚãMâ•öÃA?çì8›~æ¾ßÎS¸kŸ¸–|¿çþÿ—ÕüÍü‚{Ä7~ïçªàvÝïjús¸ÞQ¼Jn¿÷ _~W»ž‘ÏÆÇ·¸u±óŸ¼§yÌû¹¾Ï <ÖúzÇÇÈÏàyÎ4¯Ãù|\ûM“O1.5åü³_#.ëûVøO¼ºöç~®õ>ïðƒ_ôÃ~~Ïúã(nüŽ8®û~]L¹½þ¸úõ{ü÷{ð­ëÜàÄx±ÏõÏÐS×û=’üHœ‚]'ÔÙ­÷›Dþu~³ K|ë=ž¼|›òz_Üü.žì…ÿØç_ùñ>Ç£~ŠxvþãeÔ‘µÿoÏÃxžOù½¾ OR_òàbÊéyO~ÂÔ%qÀ“³‰G®Ê÷8ýÝ„Çøý-ê¶:דWY·ë÷_ø)ÏÔ8; 9ŽêCð¼ë=\£^¯õí¥§óŸµ‹xæ:ú~ÿx>ãûšz|?rðo Ç^_ñ«¨S)Wþ‹ÏÝ´ë‰çól¿êªvøgârÙþê×÷Q¿¤Žê¤xüfÖŸ®cúã »¦}ì_ã”sñr”—ó¸ä²÷3âB.\ä?;>ì§p¥÷ýû¸­ïhwð.¹½,ôæü_çµú[íÖ÷gø8êßõŸ^y¼ v{¼Ã8„Þ~_èúëÄ‘ü_øÃ|O\Õ úà ¯ÂYXûõ §›Ôçœ_YGùAþ?•¸óï-p·SØy?ÛÞ¿EÞ­çuuˆrc\êçBýå^ོ*9Í«Ðô^'ó`Ý?¿ÔYçðÓ®òO=Ézãaãêw¼Á öfŠzÙò؇™oïágäs~¸ÿ~bö#¾â×àW3Þíàp9ñ^óÙòO½ÐNßòy'Ÿ¿×sÂí´WÈïäßq]<£ðï>㺼©öý\ZòrïûœâGï‡:ŸqXï"ú~ÎQwÞKç¼ýgô{›ýú9F¾èG?\Õ;vóSÜ ß\GœÏWýü|Êç÷|Ï°žGñ>Žk›sxákÉ;•¾Œ×Ú¸¶Ÿ~W‡Ä ŸÄßuòáú×óDÚ¸4äÉK¿‹cùï{jk´ü]ßÛÿ˜våzŸµÿKþ8Ò_ñÈï¸õûlñÑïqú»Öã¿#îë½*|óXvôw'\/\ŒÛ}~?õ÷¼ÔoÿÒÎûÃ>f«ßÍß…_g·Î_øÂ=ò7×ã­ïÿÌú*kÞX¾T»þ{áòë.ôÀ)ùN¿:(Þ~w½ôôúYv½Íz³ö°¯ß¦üÞ'èúóÌïžp,=?BN¾Oú¸ôx¦~ÈקïëB¯›Õ.ãy1¹^îýWu5êgóÂï™'xÈÏy\ß?8G^¬u¾êeð4×ß®qM^¾Í|Xëƒßk½½þxt~eûl‡÷ðã?ýp¨8®õZ‘7=¯'îÁÏœ7óß/zÖ<ÔÓ<æw×{ zëØ÷Ÿðw¼¿ »c\ë¼#·âÖ<ä~©pUÿñºôõ~{;<ì~Îé‹öý>åWå_áqÃqÜ×ýåÝô÷GÖ%8¦\r*.ù½€œ‡ø‘~ãÿñS\„üÇñÇûº~bŸ¸ÆøÐûñÅå~â–ó$ùš£ýÜm»2_µ»›Ç¬}?Ëo8à_æµ:Ê.ýñùmúṸï;È“'i_Ú|È÷j«^á±þò©ô5ßê÷>Wð)äös„ëôŸÏóܱî‹#ïú¾^ä<Ž·Ë]è‡üá…Á»_~ŠþøúÛǯ£¼ÉïPˆw¿wcWõë÷ÊéŸ#ž¨›øö>ããù#×ô}Œ:T~·=Úˇȋü¾Vþ½Ÿ|²Ö•d½º¹ô°Ÿœ‡Y?¸«äãUá–ëúÖ|‹cð3õu}zŸqéyTyyõ½ù]òžßþ¹z}/Æ1óþÏáWàß)ëùÔ§içÊ«ä•ú’ã~>Ï~‹âHNð°ãïü,äÒ[öõ| U¼Õ³5ï wxÞ…\8:ǸË_ñÖ_êwÏ/}¿DŸzRþõs­|"7x°æ9Jîºð;{èͺ™þ_Ï~]ÇKë½rÞ­×ëÝÍß{=ÏSè%G¼cüÈqëæJNŒG9o»¾Kâ÷¬©Ý‰ßmØ眼àmÛÇ~v&îWÓÞõÝn|—'ì£7ø¹ögE=Zë°ùý:ñò¾¥ç‡~}Pgé!²ÞªwáwÔÙußy>q̼[óªüÐî(>ÚÑø¼„_âE.ÜŸ&NküОÎõ§ÿmêiÜø!u½÷÷°[½æ^È'qÇ?õ4êŠyÿþ^·~‘§ yò²âÕëKùñÇ´·Ú7ôŠ8e>Ý~ÁÇÜg»¾çVÇ^(ÎâCNØÛüƒ¯~ø*np£—ýÏÜw³¾GÁ_y}q©ß»^ÝNœÚNG¿Ã‹þ˳ë©/ß_öýÊÝÄ)¿[ÐóB8Ê'vÂ>ìÁcu…[óž÷\¯ÔÏÚÃYž¿„?Ï!—x[vÜü犣ßß'n]¿Êï®{ô†]ëûV×ßÇç¦ä÷ßëã'|ùx÷}üåqÖÙljgË ¾õ}Tõëu'ôâñ1êXó)ò½ó›>~«“øuñãÚ§Zø7Oø<¹œù‡ðÀ'þá;¹3oþ~Ö—^ù×ëÙ‰WwÓžÜ/ºxu(çÝ;ß#ÿú} ýð>È×µî«}ÿ ñÉ‹ËÀžüü |Ù«¸Dó>Éû^wQxô:üϺ/òáÄçeçþ~L»:ßáÆ?¼x \øùä<×{äþ¤Ü'äï[Çμ¿Ìñ2×u®º8tÿé÷šboðb­«vÇ—”‡§åß/•¹Þ­ŸƒÉ}˜úÖ}-»È ~ä~Ö¶·üêõx{ŠúBþÝ´§ù‰¿ŸÓßõ=¨/k>ÔïâŠGòOÜåÕå<6^ð£WünÞû‰_î?Ë}ˆ¹þ¦qõ»ú§âI¯#_}‡î&ý_üeà°ö%áù]üï»ÐuZ}ýÙ­¿ßÙ-þQ/}Ïw½7Ë8<Ìëòè£'üýø4Oσ×®7áï)ä÷:u×á¦~ÞO›ŸOÓ¾õ^X>°ë"ü:Íø¬¼¸˜ýúƒ«N² êÀÇäÉz.¹ ýâ ozé;ýôOr>¹÷cGœŽ¾'³öaÈOõš¿ü$Qg—¿Á˵Ž&ù™uõ.~? 9Éóò»ïóÙ8õó?á\]˜çkÿyàØß{Æ¿³ù;ÿÖ}þâ¹:£?ÜØùœÏ/]臨¯‡¯?å{ð0q¤¿ðéy9ãÅóÄ/k=œÂîe/¼‚çù>e­ Ÿ_ì,9Í¿ô?òeá@nÙw#~x*>eßѺ¤æ]Éíû<*{{ÿyoÓK?üÂû«8ç|g}ú¼ëç®ëðîYïà¬Óðú˜íÖóxÖrœ‹Ókøù4ñ\÷§ôÑ#>‘×y¿Òvú½pćÆ-qyÇæÿ?u_®/ñ+=‡÷ÿ¯¾ï ·äö>òñNë_üëy°²·¿w^ñìüJýǾßÕþuúßÏ5âÈþ½ï“È“'x…GÙ®Ž½ÿÍïïtö¾ŽÈ£õôö¾¾ßμ\zñ¸ÎûþY<áõ©ç/Õ ÇÓô~§·©§ç™ò:ë?à(o'¾¹ï,y±ÖS“ÝpÊü+»reãú0û¯ï ¿rž­ÇýçéçZç[çù>wÕáàO¿G§‡i×ázZú£®Úšë,;nïÓž_þÃŒc×)q¤~âÂü¸ÿƒ¹þåuTî£^ã-œ_¸‰S]ïz1í_ÏÏâIÿùü=Ÿ/2ïàÛë\É¡'ùq#ØKüÙƒê {ÅGüßB?þ…9î¯ï ]Myý|ö›’õdÝ„ü®wø-žðPç#ßrýyóLüé‘Ç~‡¯v%¯ç+ã÷õ>²â°ø.ŸÈ¥p‡«¸ˆ+yÉ;qä7>ÀÞxñ6qËq&ëÒMà˜ß+Ìq£÷ •¾ÎGö²‹\òØu¢óX>$/ng<ø¡}ä]êYø¨?Ú¿ÞׯU‡£.¼Î|h¿àpšrNôã#~E=ìqš_øEþEà†‡ê"»>üÓ>ñ.y}!ÏÉ£ï:ü¾Ÿ×—_®Ó[þ5ÈÉø~=.‹Gáˆçy_˜û ÚÏäùç<Ïû€æŸºv¸.Îìà'ëû*ìyšx¯ïéy“ëš÷ì"Ýô±§pìy«¸Þ¼ Þöõˆ_Ç~üW/äåsÉñ˜ÿàÌovñC\_'~°‡ý┼)}§¨Oë½4œ ÿþ»CøCžøë/žâR¸œäKø·¾—¡ßÕ´·yþ0íëñÖñnæ_~g§ý}žíÖújþàSòKÿˆG¯Š¸¬ùv‰Ê==o…ÇÅ—¾âž½?ÁõÀ5ßs¯÷Žx —Û‰Sק·iŸóµ˜½Žô‰»|)|úï—–½}?|zÅÜâÇZw‚7äT{øæ÷Œr=Oß׈#¹ø-Î䈫ßÓ^¸¨ÕÎüxù;„Í/8É›¨ÃkÐíÄ%ï7þÚ88qh{ðLÿÒs‹é¾Ä«Îù-¾êù»îÙŸü䇺¤>à•÷ò$×Ùõþ™Ïð'êPþÞï33ÿèãiÚŸïr¼XûÝé »¾KÝ|§÷2ì‡{{×É#_=ªüó^Ï: ¯¬³ïáž×ñùWxÿ¢Ÿ¼:âé}ä™|*¹ý|õd½ÿ¨þ«þÈ3u ‘¹i­?VoÅ?yÈyû2qÌýù=ÿljSÛq_úùùvF~õû©çà8d¹›Ðwšò{¼ œ;Ïàß—©'÷_æ}_ã /òñ†~~eþDý\û–Ø÷çpfgÙ×ãiÖÒÛ"òÁ<¶÷Ž­G;ñ»;8ޭ㟞ßÊxnÆSø³Öeá—£ßO‘ÉþE×¾®Œg›·Qÿú¾G~á œÿ.òš^íÙ+Þpužvü6òL|å ;ñãrÆåèùg½ßÇåÄ¿ó®úõß Â_ñæ×Ù÷rÖz¯«ˆ+¼ØÃ^çò½®÷ó9x”u>êÝÚ_ñíyˆºnÁ´îw³}Î ­ý«ô⥺”õ›¥w}Ÿ>åß¿ä:÷{Ô뫾վùõ¾óZÞÞ¿xùOÄåñ¯Û8ÂÝç³>ç¼ÔQ}Íuoëy6êjþ]“Ÿ×:×ŵxÜóOê ;ƒWêu~ß,×µÿâÁàeßÇDûÞwVv¨ýÞ³ú÷wž§k¿¾ˆ+Þ>M{rý^Ç‹¿ŽxI.ûñÏਮÃOÜñö*ð·ëÙ/÷-ä:ó‡ÊãAÞ÷¬çÛÀAÿiÏ Þp‘×êqåg¿oÓ^;öñ#ó?ØÃOþ‹‹:(~äð÷Wù„7‡Ã÷>p”oâ&õÏ8GYöÊ/~²ŸÄ¿ðêù%q+=½Ñu|)ÿó;Œý^X¾k'~ì&ŽüP/ð5ø›üί8á>>E~K¯ëƉŠG¿ß—àõZç ?ògü{Ü >ìÔ>ã‘ã á—q`^Þ†ÝüÀ;þòÿƒ9O‘ûZ×ߧP—\{W]¦?ø¿žèW§É½~åúã~oYç½.X<ðªŽ¯ê ¼‚gkžùaêÉï ä>Ÿµ.å)üM¿ Ÿ~.¾u<ƒwkýRâ WíÔ™Ëð3óH»ˆgß'›8½Fûƒû\q¼ ®&ký <ù‘õ%âšû¬W{<Á§°3ŸWsÿxó¸âÅÏ~ïò<õ÷>—:ïûàY?Wðƒžä+Ézñ .x'îpà·ºÃ~ú §ß‡_k½•xiÇnñL¾‰?½ú¿Íó®Sp§ßõÈõÞ0ÆÅÎC×Å•?â/òáœþh_ÇœÏXó½ì y¹g}W Îs_@þ¾æÃð¨xÜŽkßnäÇ)â»æª_ÏS¨ pwy'ú‚w¿ÐƒGÆÅô>ÅçüŽI~oiÕqüÃoý‚/YsýrÛUí~›¼àž‘¼ú9írd~Ë/ñ-9ý½“ÛyžóyëùÞÀ©ïkÙ WzÅI½ªöùœØqg7þéãTÿÎߨ—]‡âúíÄ·Ÿÿ"ŸÖýGñqÍ/hgŸÑ>êêá}þGùqÍû²õ¿Ë¿‡Ù®ë­øáõõì—߯XëRÔöëŸ<ËeèÃÛÓŒGîÍõ¯k¿}®‹“<=Ÿö5^Q_zÝåc´¯¸ôü‹ëŸÓŽ¾ïÂ?q |JoÞ÷åsE?x‘ù|Íõüy?¹öçÐËN¸„œ|´Ö‰°»pë÷†â8®çíÔ%~Gg½ZïeCþz?ù’Ïë»,®‹¹xƒÇü=›vvÆo祧qäüÏG¸‘§ý]È…ë]ÈÇk¸ú]þàCäO߇ WuOÈ…|Ù­>;/»ó»èk¹øÄ®ç™Ok¿Ž~âSþug>®xxºœö®ùJuÇïâ ÞÁOú»¿øž"nxÇNø;ÊÓˆËúÞ˾¨sý<öµžÂ©çYÈÇ8Š/>à—¼Soà•ãOæ ÿJïÚ_ ~‘ Gúž§¼5?Íø®÷ú×ùúûÓŽ\œû(×z„¼oÀÛ¨gë¾ÎïôU»ÎËàáºo©~=^hÿyÈžSøý>í^óÆŽåw?—¸.~‘'kß¼ùçŠGÞ?¬ï2dž«ŸS~?_güàB>~—Þœ×YëóÕqOq ?ä÷};œ§¹ž´óËyÔü¯Êý„ç|ÎI>¬yGöDþä¼NΫ¬÷ao¡Oœô¿Œø¨oÁ£¾Ï‡xE®x™x‰á7~DýðýÏ~ÞÀ?úø<–¯/ò£îµ|‰:·æ‰Ïã÷¬òŸž¨ù>f­·ƒßÕl—Ϲë9+ë±ßɉ:·¾¿G>Ü´Ÿ÷)·ã/Îx¥?~ýž /Õ%íù•ü¯v=o›<:¼"OrÞcí§RÏàO×æKäÓšG¥ï(?àWöõ8—‹ˆƒº–u”?âoíøC/¼äQÉYõ1ëþû=úç÷y'ý+ž}ßÍOv>M}Ý.pXã¯ó爖¼“ë×µþ+ëmÉé¿›¥ÝUÄõ!ìóûÃ<ïë3N}ß\zn~W×ïæ±ç7ÃÞõž¯øÕWE{¼ƒWÖ©àA~¹ï_௧ÀÜj'¯úï«sYÏœ„>vÃÏãH¿öx—’ßßãÀ/y*2ï¦Ü¼/]÷ QWrÝCïóûÙ<æzË%à¦]ávJÜð4ó#ó ÏäuùŸÏ“kœÀç¬Gâ,Á§µÿÕyÖ¡ˆCó¼~Ï¿oÔö”þõ\ïoðîçS¿ï×t¾ÂW{uÕx@û?æyç¿Åç%ð–_®ã›xáÈ…ƒöOSOç‡vxüÎñÜsnóúe¶?ŠÛº.üúï±G<òþ;ßkå¼Wßüª®ó«Žý¹Òsó¿/ ?ëàÛ/r#níOàÖõ8ù€ÿGrðå!úóW;8ÿÖzqòý~òÙ+¯Žøu <Ôøãßý”“ë_sd­Ó%Gû‹ˆ»vYwŠý¼‡ìø ÄÙ‰÷e×h×ë¾ ÿµßë~ÁǯUÙ¼^ßeÅgãNÔÅÎ òáÅîçéGç]ð¤ãUíú¾ÒQ>Š~â#yÉÏ’×ßU-Þ÷ûMv¾ÁÓü^Þá>¦àyþýïü^j˯þ?B¼:ÿàO¿úu¿à™qâ‡vä°_Ü^ÃÞói×Í ûÅéaâ“ãVï“/}¹¯ç?ùñÏï­y8z]Wgà«|#Ï;ŽÅŸ®“êy¯¡¯µ'ï*ôÕyó ?]¸±Ox¼L¹ë¾Y]Áýààü3üwúÉÍ#þȃâc~¢ëƒ#»Ø/ÞçÓ®^÷„çÕ®ëtõÏ¿{ï]ú{ƒÿ¡~Ïq2øÕó'âƒwúå8¥]ð~½OWÖ_õnQº]òœú§]p€·ú—þ‰ûÄAýκ{6íXÏýòX>øý:짿âÔë<ÅùeÚ™þ&OòûÈxÓÏcÓ¾…ÿù[ö¶]xŽÇÅŸ\_rø]4¸ÀUÞ'>!/ç­ò¾µŸwðJÀ¹®÷}Ækøù8íkþÞO<›güQøøjç\<áùÔÏ5ìP·øõâlú‘ïoֺȋig~/h­÷†SÖqzŸ£½vx$n™¯ôD½èu4Y?ù}=qYû‡áÏï¬×¥¿Ÿ‹ƒùýʶ;ø–óS‡ãQâ¼éýÌ?E}©ãþ<Î~yÜû¬ðD<Å÷eÚ‘ïwû{ ¿ªvâ'ü&?Ëž¹pÔ.ùÈÿó‰c߇…Þ§ƒGk}½1î¬÷3Q_rQ¯k†ÛëlßëËñ–ž«¸~=ýÉ} k=;Å ¯"žÍGçâ®n”}™§™GëyŒÉÿÀ¯ñ‡›~~—§éÏÑ:÷¼¯YûaüN®ëìÇõCþ¨ òûuúßóYÇ"ÿÖ¼ ;®£;3ÎÚ_Ì8µ‘íGÚ§<̼;Úï—ó×½®Òuq•ÿ™·äf½ý˜¸tÝzšvç÷CÖøI?\ñ:x×ï¡É =k­¸Á7ó*øÔǧi§xØÙïÕÄ—ÝQ绞ªg3m‡~øð6åuÖî|ú“õ³y|ìûxýµÓOûøýè{ïëýFÙÓG2òií'ü |‚O­·ú­såýõÄ£yúýèƒ+¿’_x’xé—ôàyÖ%úñ­pð¥µoO¸ß:ïçxhïÉ#ö%>‰»¸¸.¯ðU<ðžÎÕÅà÷Úwã÷¬O×SÏzÎÓ¯ÈKÜÄnÕîh[¾OËçðõ¦ø˜ßoÈñB]ñý„äÀŽì~žþ­uu™çaW]ïýÿx]~4ÈK^GÜs=aÏE^-?Êß^·suPŸàÁ^vi„Cæeµóþ·Çsq€ÛÃ÷þö}8Þ¼Nÿ{|„^|ƒWµk½gqêù{þŠoäC×sùÉΊãMµ³n?×÷s?êú/…_Æ7øà Þ¾k\èÁ7×ÉÁ#<П¼çð?âºæçÅA]PÚç:³\Ûzá;Èëe×ËôkÍ»Ë'ypy#N©ŸžÌÇ÷¯õ= 8—?Ÿfü²÷L‡ûÐÔ8ÈÃÏà%9÷Sÿú^ƒ¼ŸÇ¨3ò!ë°ü/ýé‘?ðz ¿áA\BþZÍŸ÷‰÷I|/&ný]GrØw4îO;ó{ý¾/è•_…C×ð«ßo_N?3¯ú}-»ÕõPþðÇñ¡Ú“Ÿ~áÛiÆ¥ëXéëq>êFîkíç½çËè‡cÉéï\F<Ö¾NqÕÿ|ú—í×}gÊ)|sÝêú®}äÞN¿ú~üÿ¬Ó§ˆcò¡âÐ÷+ê4yxÇß‹ÙnÝ_ëû'…OÛq„GòI<ɹšñÈïsõýEÖGxù=êÑÚ¼à/;åž± ?fûõ~,ìkÿ2îø'ÿnã÷°gå{È-Þú¾ò þ^‡¿ú帬^œÍãznðûUø—ùGz^£_úuôþÁüA·Ç7ö‰'¹â­ýâ)~ê´ó8ö}ÂÅÄ7Çÿ^?yö>ÛwJ^±Ÿ.BÏÝ´·ï?ÉáGÔ­5Ÿ.áù‘ßÍXÇΉ»xG>f½Êï™å¾œõwXÙ‘ü Þæ}W¿Öïqêoé¿›x$×w+ß&îù÷ŒrŸÛúÎ=\Ù©?{è{‰ã{àQñìu1Þ¬ïIÀ—|r´^´¿ìÄOñyŸúÚߨK½þÿ?Eý€#þιf­çâOÔ¼oïºó8ñXß¡‚?9üyœú2ÿÖ÷LëØã`éÉï2¬ï¬ð·ÚßÀ?ä{òê#¿È-ÿz¼Ž¼Yë󲮈kâv?Öý<ámùÕóðQ_‚¿¹îí¯äGœ{÷búµöw;'—]YïÊï¾’ÿÓïÜ·ë±úyQ<¢.õ~ùäOòίŽ³:ñYüúŒ#=üË:B®ëìÕŸ¾ð»q‚;OÓÏUäeÙÝï½Ùø­yýðE?öú=qͺ¯.ð#ùäœßêÑÕ´+çs=ÍZgqèùú"/¾›±ÖIe½L}p•Çò›¿g½¨v'ô‹7½a÷ºÿÂÓ¨—¹nþè;XkŸ?Å÷qÆ#ßÇöóWÖzn'ÎmWä×úÎÂé{ý#>²çn^?úŽÃš_#Ÿâ“ãyǯôçlêÏu‘k_|ùq£{ÉÇKx”œÆ_¾|„œ¨ÿ=þñã-~‡¿‹—'ü<¿ÃŸÅw¿WÞõ<œºGùø—ûiçÚ_}v‹œàr?õv݇³zvÅ8Õu½äöº òØE®sø°CŸâ÷÷°[>ÈsxfüØ¥N«/®ó‹þ°»ç¾®—u´ŽoÍGð“á|àYvö<áiú±ì~ ?ù]ýúûð"7xÒuà9âÍ^¸ÂÁyñ!ßK澄õwLBþá¾RzäóSè¹ø[z×ü¹º«N‹¿“_™WäÑþÓÄa½WÁcò£n纱®'ê²cÔëÖünÔßÖ›õNÿà{Ûòâ<÷5¨¯kŸg¾Õq}òc¶ëß_§üõwCb|i;]‡ÃËlŸu4ßì÷òö*®;ªðäÔÏõþ àÃîŒ?¿¢Žtþóÿ,ôÓû¿ßÎüÈ¿³’ß5^÷Ñç3¾Gω9OÙó^·Óþµ¿›QïÖ>6¿ë÷|È|xþ~Ç‚=üã|Å×àã•y¥ŸºA¿cæcñªñ-~öx!J_¯£+;svÖᮇäÒWçø ×Ûà —¾_~S8â_ò2úçýx¯¿™¼èyþã{ùç\¼ø|ËuSë=Ïû´ÓüP~_:ß÷¸CòT{öŠ7|ÞB^äq×QúµÃ;ùgø_O¼VþkŸ|¹˜í:Ÿä‰ë…Ï©üîuwô³×ïgÓoyèúš7ä÷Ã÷ý²®÷}­º ŸÀeÕSxð¢Çöˆ3>¿"^k\õ»¸À OøK^ÅeÅM|Ÿã:9ìÊ<Ä¿Š_¾/ïy8vŽ'òê¸ö9²¯úÙÿÒóÓpÞËã¬/½#òhÝ–ÿý^3ã ^p½ç½N¢Ú9æûÀµžn®—ýãnÚµöKà™|‘gøkœÊ<|˜ý×s<Å‹üœÚ>ýå¼]Çøfþ|„õ^ä©/øÃ.òàBù~'—ßøŒWüç7Üà©ÎÁ!ú5þ¥§×oŠ3»ô/>6ÏéovÊãÿñ¹äðÿbòqí‡x ?7z"/sÞ7¿×ö;ç÷Û”—ë^×·8f\K¯}$½oX¾‰ž°_œ/¦=kß¾|bgæsò¶Î»Îœ…öÀ_¾¨—™×ô°Ÿ^¦_k/ýU·zûÿõw êü†ý¥Wžõ:ì¿+yÚÕõžŸr„¯ñ„üe—ü6Nùýròd­_Õ/ùíc|Èõ 9ýƒ‡h§nÀK}7ùȯÈÓ~ŽÕ_»²«Ÿïg½hùQÏz~)ðÌõùýžZ8Oê;2ñ<õèuâ“u·ïO÷÷¢>­ýÐgQwà£Îàq;Ï^¢ýgà@Ÿßù…âís^øè½fÎsçúíüNÐúþxˆûKèã/ûÈ/|û{\‘Ÿ¹¯0÷¶ßì_êƒñëcú‘ëeÖs²ºù”ûdòy¤çwäWÔ‰~¾á?½ø)ïÔ¸_šOú'ÿî¦^÷«k¢þâP¸Üˆ3»Ù‘yqîy4¼„ yò þYgñC{þÀ#âÞr\Ç—Û‰k×o8¥|yÅn|Ç'xjŸ~±o³>d¼ÊîÆŽäá‘ßß/øßsßD®/_ëë_†ÎáWüYuà:p€=É÷:¿ù§Âùu¶ï:N?á€Ç®¿†þÛ)wÍ[óÛõ:¿^&žkž¬ôŸØ‹§ôðGÝùœqîqR<á)ßå‹8>>ô‰Ó{´§ïcÚãûÌk?º—zµƒ/~‰ïUÔ“¬/~׿ÎûþMþŠ}—Žƒó»ˆ'»ñQ»’·ÞSÊûÈÞ'ýà¨?}x¨>ú¿7~TÜ[~Ø×Ïqð¨ó›³À©Žkß|~œõ¯q‘_Ú‰{ñë"p•¯ô¹ñH^ȳÌ7yõ«Ç;ú?¦½ÎÍïo‡Â»÷g:þT8þ4y¶Ögòól“/9Ïß¼OõDü«ß ;ÅžüpýjÊiœðK?uG¼ ¯œYóá𯨠K¾:Qçù½"ëBÖóhð(ïk×ódÅ¡ß³d}‘GòD]Ò߸%ÅøýïÞǩçhbî{ú~äû¦\»ö÷ðŸ|~/È… üŸ¢}äC®ón?áJŸëÓ®\/q´¿réÿˆvðx›ø®õ'pÎz¤n„}ùþ¼ïñî,üÇ?õÏ‘½Á“¾Ÿ«cçüÄ<¸ÿSØ­>î7ü’Wòò!®«üÃG¼Ï¸èO¿s<xðÓøPöÊ«|îíú¡įóò×ßûaœîø¨kôE^¬õF/³¶ò’úÁÿsö[ó¸Qß;Näf}Àûj_þàÅgÝÉu™í/ÞU¿SðDîûñÆ#u¾Á›ÖƒçaßÍ?VrŸµ^‚ÿ÷µ#Ïñ¯àI¯£¸e€£>ê\óÎäe¼ ¿õž"ðÉ} ý>ä2p…ãgàù]~4.ìÇ~²O\ñßèaçÅı׋à-ÿćþÀïqƱ×ÙEÝíû8~FYû$ë÷›ÿ2yîyùóœ§Íu­‡ûÙê¼çqåû+žÍßë¸~;ñËyÚ?D¿µo•ÎÉ›xä<Κ æzûüûkßoÙÕ÷¿‘êSŽ/k‰öWÓŸ´g­Ûã¾À_Þ=„ÿóšWÕŸÚã>â5¼Å?ò«Ç!~Ë^|Ð>ýd×Kô£O;qÆsrá$Ä™]eþ]Œ\WÜy(nÚÑû<ñÉyå|½ÖS>½®,óHœƒk}8½ôàiÔíõ.ñ‡Û}à+îìdÏÓìŸû×z´ žè/Îâ|;üžJÉ]ë2éåÔ8àgèϺÖuäÑñ\ë<ïÂÑûÅœëy~¤½ßÛÝöË_|½ ûðþòƒ?‘Oìwä?üå•öâ¨ÝCàRÇ^¯Uþ­uäˆ?ùüz˜¸¬ï«Käʃ:öóûñ ~gSþáû yþþñ;êmã wyUçmOò‡_~‡“¼+|د¿¸à¿´cý~¿žñè÷Ö‰«q‡ž¬×ðñûi¶_Ç×Ñuñ?M¼s}Îz¾“wç³_×±·ð“<þE½]vE½Xó2ì†_æKÔÕ®ƒ·Ñ/g~Fø¸õ{nyÁnõDüÈÇ“º¾Ö}$?ÅC|´§·Îû¾TžÑS¸/×ûB8†Ÿ'×ÕƒäÕE\™¸÷üººvšú›GðŽzÉ^¼\ß}‰ø%OñM\ä7ûáƒ/ü¿ê$û_§«~ã9üKOãCnð;ýîuü¼˜~÷>ù–øº¯ƒ8äzàµî)ùqÈç¦ä×Ñ~ÅÞ×uw}@Ý‘¿ÎÙü ï"ÚM{z]BÖÛçð—_a×Z_Ç<Šº•ó=/ÊnzŸ¦?ÍGyŽì {Ö|´¼ªö=«}ÖçY7ÙWøõ}=?ð$ôµýú%Ÿ¯'.}¡]Ô©Îßä1ýø^¸Øgœóek½MŽâz{¼ò}b®£^ßyˆ¼ÌçîÎë»i?·ˆ ýêHéýkó 9_Üñà_éëù:xþTù£>é/ê);äWñ·ÇMþéÏδŸ=užï×~/xdð7óý}ö_롯gøWõç1p¹œ××ûR×#NíÔöï*ò©ðXß™*¹¹o'ãó=&?+þëýð]žªâ¿ŸÂ?~”Ýžç½7ÌüÈõk}›~aOã|9ñèùUøÁ Þì—ç¯Ñ>Ç#vƒ'ìfųìj¼³.á¥:&‘wë;Ž‘ïk½‘ëä•Ÿ¿x-Þü†‡ß#¿ó}Ôš7žv=ן?øööé'_¯&ú: Oß/êzÎ/8±[?öÎ=ü9ýXë\ÔM~¼D{G<(¼×ß‘{Œøˆ7^âYæ^ÝFÕ'ùr?íèøÀårâÜ×ïæõœç]ßÓ—÷êMéÏû”\ºø“yêwþó×¹z᜿ðSèç_µïyFþáã)ìøÑ§î‰ Ü"×Á»õ*ד_yq¸>þWSþÑ÷fç艼I¬}ì„Ùã:~—¼~^`ÿsàÅ_±?ò¢óác¶ïû.ú]çþuìûŽ:ö~~ÝÍüÈ}ù\Ñóp¥?÷ô{§àGÇY{u_èÍ8d]“7ì½ >À™ö–}øw*{òù_üz¿^ÁûbÚµÆ+×Å)ò+סw~F=Éç­ÎWrå…|žæ¾…üx ?ð'êåúÞsò.óˆâzº:Ê ö«‹ê†#»Î¿ïŸ¼ë}¥ørÿ’?‘?k~éiâ´æyÕƒ’¯®ä÷vrÝæZ_™ç콚<Îù¦~¿ÇÒßó¨â…Oì#±×ÑïäË?|–¯ôà—ü»˜¸´^øÈ﨧kÿlÔóžßúýF»àÝzN•wð þ¯÷“Q's¾¿ç%ùyÃß·Ù¯ëéÝÄr~±ýÁ‹ê×ó³ÁÇ›8_ó©xò¼çßù´cퟃwñj½ÿ> <î&~¹îE}ÎçÙ^Ÿ™xF;ë¯?qOÞëõ0ן®û°‡¨'ð…K]÷}æ^ñú£NuýÂû»ÀA½àWùsô\š|êã¹ÖF\ß#¯óžçƒcÉíýá~g§:_øˆ;’ßQoV彺Qòû»Ðòã2üt~uŸ=òC»çiWçüï¦]pìïçá ¾ÜMy}|[ûîΦ_ë¹Qýæ\3ÿñõ£×9ý¡·Ÿ ÅU;GíÄë>Îáø2¯¯õa—ú‚×ê ¹×‘GŽø­Üà<˺ÖãÅýì·î׃G]Ç'~=ß$Oc\hÞáOÔ§žGù(nøjwôži}‰+ý콜¿÷xY×vÁå9ìàŸöpbOð,Ÿ£ûùY;øjgz£®5?¦ÝýH^ð·ÿ^ <äÛuÈgÞîù¼ÒÏŸôÀ+ÇçìŠüÊï4ä{˜|Ϻ¾ÏÁþ÷ð?äöó;ÕíàÓz®Ä;<:”Ïù¼žó í|á÷Ëмìø/}—/õôü¿öxo|/¾ûG~çwBr=Zó=yUyyô]†¼¿êyu¾Ž]gõK¼ÙõøNë{¯ä{½‰~ð(ù=ÏÄ¿¨;}¿ëwþD>õý;éaÜËî|ß»¾«œócú¿¾Ë*žŽâéãÎMÔŽ3¿àx>ýéç|’üQ/žgœúþšÞ·ÀA|ԉ̷:o{ù‰§ä¿O}¹®?×uu|´cOø·ö§Ã+ë<Å»ÄßQzËÞž—àßsÈ£=ì|œú{8üè¹›qYßáKûä4îÚ“_~õøœužâHŽ¼È¸W¼z\ãoõëõ,ìÅ?qªëê~©ïÃÈùv?å4NÉ7Ç—Ù¾ÿ~'?áÇÞä¹òC?zÉg?œñ:ã+>uj­S–·ò<â˜ß9íúÀŠ_¿oW¿\‡ÿå´Í>NÿÿÎFĹëÖÝô«ëgÉéº7<«øŸè;ªxWy~ô:|g7ýxïóy«õ±S½¯ÒŸßZëEÙq~Á)x×÷‡~¿Vöe¾æx¼ô®Í§Èóµ§ôô}½‘okþNΟ¢Ä«¿W”ù«?;ÕÈ“~ÿù>ýXß;+?{ž­âÐö“õ£ížõ¢Ûáÿ’—Oá‡<~œñZ< »ò{4ë{ì‹:ûJz^ÿáH>/ÙÏò幟³Ï;§äˆgÕMßqëñFûГûˆúùõ!p—?1¾÷ý|gûüÞ¿úýþÙÄ}}GŒßÏSÇAvÕõÞx?íjÞ•_ý>ù®}òÓõ—ø=â…?ïÑpº 9øg¸ª?ÚÁ±ìèñå=âZ××÷4§Ÿk_ ùxŒWÚá_ٿƼP7\×J~Ïo~„ŸðcD=Yónø*¾ä‰ ûñ%ë ¹©·äØ·G~ßWï÷¨¯?ÂÞµÞ¿äÉÛô'¿7»¾«ˆ×+»ùw¼I¼Õ³Â»ó np"çqÚ'¯OìP‡ÙóøŠypxšíš_eG×zÈÅy-ÎâÅvÅïù~=ëhÇ™þ¨ë}=òf½_»ûñBÔÅψ‡óÓŒGÖëuŸÉŸjwó:ëåªOpÖ^ݸçýŸï÷}9ÜÅU}c?¼ðÿ?¦]9>çzýü~C~·-ï§ó}äzž 7péïl‘ü\÷ùòõ€Okšô^LÿVþD¾äßO9äü‹Wë;joaßÕÔÓ<ä¼Ó_>gÜ3ï:¯µ“/xò8_<Êüu¼vp_¿;§'Ûgï/öˆ¿8fý Þw]'Ýð¨ø6Ï2‚wÞëöõŠ“¿Ó»æý"ŸóýYûƒx/þdŽz¶îó ÷ž7€Sê‹úÒßÉÁK8h‡‡‰ž}LúþÞ‡^ÿ¯È¿üs?÷ÈÇÒÓõ ^ô°C<áÅo¼¼˜¸­yvÆ8sS¼mÞD}iœñ‚]~ÇõØ9?µƒGÖ—ˆßš}œ<Ê:”ãiî§ÉýÛž«¬7]ßÍ×ÙÉ/8½D=ªëýÞ!óD¿¬KìǺžãYîOËïyu='Ÿþ¬Oäˆ+ûý^öôsWåQ?ÿ=L;r~ºyO×ßBŸ#>:VÜro𡇸»þç׃¸àOÉéuµQOz]Í?ŸQòs¿Cç§|¥¿Žý¾¨pÉûýÃq•ü©ßÍõ8K¾v®³óaâÐ~ŠÛí”·æÑä#Þ³ïϧýë»âãº~WS_ÞôûZþgÞӋωÞªÃe_ï›_v<Íx¯ïâË甿ö]ã—ßÙq6ó©Ÿ?É—ß‘çͨ]7ÙñÉ÷Î9ï‘÷¥§ôd}ƯÀ«çý}\›òš¼¬Wä‰ëÙ¼Þų|ï”ë—?>ñCÞà œð÷"ìÃ?ý#ÿ{þ+Nöûy^éûPy wvg^Ò›u y%êLõë}âü‰z¾Þ/Òþå¾»^ÿ+ä•Ÿ‹üÅã{òþ£ï—áê<êZ?_èï÷Œ/œëØëZÄ=x‘ëM~„Þµ.ßõ¬?ä‰{à¯ùð+¿øíýðÚ“¼» <Å5øµòSÞÝÎx7¯ø‹o¯!'ãêÈ/¼‘ð.½ë;Þewס»égîç\/†ý"~¹OtÍ/¨ï쀟º‹§òG<"®y_Øïïëܾõ~Î0^/;¿ðøbÊYë%Ù{6ãÔ|úǪ_ÿ0ùÕvÓzz½?ñZã5;J?~ö÷¾>"®øJ|Å OW×ñE¼—ß7üO~à#ò+õŸä#>DÝZïmåM¯ýlO3Îë¾þúŸO\{½¦üsÄCqþMÄSœñ®ò©ä»_ëùeve½3°KÈÅgòè/ÿÈ…÷c´Ç£²?ŸK×:‡<×>y~ös!»3¿ðί+¹ò ë§:“yŒ÷ì!|xáMúý4qÆû›¿Ÿü[÷1ôd\࿈oÇíaÊË}=¹_¯÷óÿõƒ »ÊŽ®ôDZx¯}¦üPO?¦yë}6|ÕqPgÔuèvò(ÿnXÚ•ûÃòû3k]üÈ‹ñ3ß ç|Føù6ëÙÚ—À_uS|ÉÑÞu¼Ã¼¢'ítŸ§)§ë*ÿOÁ+üÛÛô;ù×÷ïÕ.ÿîîZ_ÅoñÎãÐã ¿þÎ-^½Ï¸.ÿÅŸ1.v©v]×ä]ø±ÖñO>g»µN_ÈGv•ßè|:ÛG ñˆ=ðd‡ôx<Ñ«ßz?•ñÆß³é÷Ú)>ì¦?ãgü|‰öê$¢þ­yÄàe¿àçCد_ùÛëU؃WåwχàMÉËúß<.{yJnð$çw;Žâ]òò}ýz¨¾ùþèŸûK×¾>í+ŸÖûEvOò=ÄZwÊδ§Ú7£.æ8™ß}éç íôß—À)Áó~.%Ÿ\ñ »Ö:õ#ä®õLøWñï:_u“ÜÒßqúÜ÷)1Î݈3|õÃû‰OîÃ=©»ôg|Çõ]8E>çzÖu®÷éO7‡<¸ñ“|rØ7yŠïåŸï0äw0oþsŒ“pLÿ£]ıë<ži÷P¸ÿjÖ™¼¯ÎóµÏ>xCÉÏýÍù~©ï_ËŸÞߟuŽÜ¨‹k8f|N—ÅË·‰kg✸ȃàqÚ‘ëžú9LþNí·zPçÝO¿ž'ë½.¿¢œÄY}õwd'¾…ß¹ŸzÍoe¾Š7Ü3Žê>´{=è‡gW3×ýšþäëÏÏàïZW’úÕ³§¢^¯u})Oüñ_~Ñ#ÕàKÇA|K~?Ïð¿pï÷Àpú˜8å{Õµï,ýû˜8õ}½ø§\á?xø]>²§üËù济ÃõŠÏŸÓ'ø÷¨¿yÿÕãeò›xqNþ­ù ¼Áßò³ïBOÖÁàÙôOˆ'9OÑ·‡è…çó”Ó~k§ß[øÿøÊò"Ÿ[/>àoäiŽ_½>!ãŒ_1ä>Ô|_¼ö£ÁÇu¸D^w½å/Üñˆ¾‡iŽç«>%ø/~ìV§ÈcÞˆGÄa­kRç/æõÎOxÒË_qÊ|Hýq}ÕÓü=ã/ÏÅ=ýš~5^xÊ?¿“ÏOñâ/¼ðîmâŸß­Zße"×9¼³¥ìä_ð!¿ÖÏë…CÏÿÁo³~žO»ú½èMždþ‘¸]Mÿ׺ƒŒ3=üL9ðsÆ÷3ÚÉg×áyÐqd?}É?qä/;ëz¿?'Ž‡ô+ô.ùìƇÀo?äÁ‡œË)¯å²ãbâ¿ê"^E¬ñ‰^þDÞ,܇õ~„Ü÷§ÅÓàMÛù³ö÷F^­ùlvŠ¿Èwžöªc‘wî_8Þø½âÛóš%ÝŸˆÔÓõ÷6ÈåŸëågÏ &Ÿ?'Ý?ëGæ{Ô±žG‘ôà•ú œùst„¯ú‡?áGσˆ ?ðY~¥É ~“›ø¦¸äx›õü/ý¿µ.çaGäOóFœ#/×:–§ioîk^ùísæ~–üŽdã¼íù“¿V·œ?†òCÜŸ§+»“WpŸ×ýðÀÏÏùûzÞc§v™ÿìÌöe·çÓ\?¾öQe§»)ÝkGÚe{ü>âßiÚ½öQ…}ýÞÿoù-_OQÉã?½‰œÄï3ì‹üi~kÏï«hwögàÇuäÞé§þ‰ÇýäO×{x<„<|§ÇïìÌøÜ>p£ÿ3ì ¹k_CùÛzµãgÚéøú½yÜïéÈ“¿éŸ:$áèGçáß{Èå|ä~d¾Eý]û„Îg»>gáÑó.ð<…œjßíÞ&nëý'Âå¨n¤ìw~6ãºÞW‰[Œo½Îì,ì‘×O7¸È·¨“ùž&Ÿþôâ=¿£®æ:¸\'vCÏiâ²ö Ós>åôûýøËϲ‹ž¶NðÅ7òø™y©ýëô#׫äwzÝßé+;ûýDâõ1å庰5^ÂémúÓçü~DÜó>kÝÿ’C_ô[ïý2³;ÄžüÔOûä{ÏB/9É{úï¢ßg´S/ä+œùÿ<å¬ç…°Ëz¢~Ÿõ<û­÷ŽqÑùãqîw]ßw >åß…\ÏWÕ¯ç7éw/øêÿÇÇ™—=M??Å¡®÷¾ø#^^Gýø˜ö®÷¡çžûˆßáåÈNùWíÖ9î¯yºÇÀ¹ä‰Ï Ÿf¿üÎK?§³Sû‹8’w=ýËüìyš‡Ðÿ4åtœ³~dG´=‘/]ÏÉÓ/òrÍëÏñ}䈷öŽâò~†œ¶‡ŸéWèYó§ò”ŸüÀ#8|N^¬ïšÜ¿ÈÃ'ü¼ ?"Or^ßÇÊíÅ^ôÁðÏzãœ|ñWàT××w‘´WÏÄ1yVú×úSöe‚w]?±^Gq©ë¹O9Ÿžò~ç{]×Ï9yúû/Þ¢ßA¼×>cò‚ÿëù4ë%\ð:òýçÐÛ~ȸ±Ÿž·Àïøwüw~6å¬õò¯ð’\ñ‡ÏÛıå²KûŒ_úõ²ù@~Öñ~æß“k;ðUÿ£zŸÒ›ó½ù²õœUvõ¾‚ú½ß›ÀÏàMýäÓ ŸÌ÷§)çhžgÕ|€óÕŒOÏð“ÝxˆÏ~ù—üq.?²°Ã±äÝ”ý½ïN\Å ?Ø!Øs{àwÄy½/‰z±Ö¯ú]üî&×¼AæÖ)ö¼†_΢?{ùö4_ĵìø÷uôàï´=QïrÜîûáëÉ“¾/q„?à(žxqíàJþùÔ·žƒùù³Ö5.-·Ž[Ô½µž‡|qdïÅìg]¿>™¿©OOòVý€#?ÃÏ’ç;ý¾?ƉÆ.âq]ûiáSöÚo×ïÿ*~ë¹~ŽìJ|Ø|\ÏGQ·ÖsqðQÜ×þ0õânêÏõM}Tð Ÿø[v­ýì2ŽD]ë}áxõò˾¼ß;|/@oðg­ÏþÏ8Ò~åóÌZopš¼lñ×9;3ÅA~ú‹;ýÕ¿÷ÂßQ]+;ú¹@¿³#øÔþÑ—ÌÛÔK}ŽŸá—x¿—áÏÅÄqÝ'Õuq8‹ß¯g^­÷éü•‡wÇ|¿²êCá–uv­ÿ‚'?Ãå>úeþÀá>òœÝüÊöÏóØßu*\Ö<ÂÝ”³pæ§<"‡½p…;¼‚ÿk>Cƒ7|Äÿà”u2ê躯Q§ø—ôC]¸œv4àÃ^¸Ñ¯¾ãqòE¼³ê—‡©/ëeËe_à¶ÖMßN;×>µÌÓÀ¯ß—ðK~D}]ïÝ>ãúûÄ#ïË×þ!ü“g…Gß_©âù·øÒÓß)…7R¿ºËþçðáÿïôsý ¯Û~À‡Áß¾×.ìï¼b×{àŒ÷³¬ýàìÕÏØ›ù­ž‘#øˆWŽäÂßà ƒG뻺ÚÑK>Þú¾¯ê¼÷9Ÿó{º™ÿ«\ÍøÞ$/ëؼ®cO秙§ë½¦øŠ?ùð¼ »?Bž¸FœÚëïÏ×¾2rØW¿­Ãí¼ÀCqÐŽž¬xïËðósö_ûzàÅî·°Nú…½ù^%¿;wôݦ֗råž:¿^Æõ?„yÚøÊ'öÃWÞιÞ~Å-ó’ŸŽp&ï)Îõ“·ü#Ÿöãqà·ž‹áu­ë­ßùÃ?8à}ð?×}Î+Dÿ5îû]ÝŒñ£å±“ÝçuEÏkä5ÿoÃÞú}ÍÏŠ?»2¾™§üÕ>ò`}GG|èÁ[q¨óžï8û´#rsŸüc¿ö¯Sïz¿Í¾ä‘þ_~|„žä÷_É“uÅ<»˜ø¯uwÉGu!ë#ý~çoò(ëÌÅŒÃú{üÿ˜~åºÿSwýI>¦\ùx¬~ì†Gྞ'N[µïuzÏ®3•OýÂÌu ìéùÙ¬›ð„;Þÿ4ã½ÖKžúGòE=‰|Xã#¹ì¡_ð$ðÍ÷š¹>%ŸCÛîÌÇèW××x8­÷€Á·µÏ ¿ð ë)œÈ:µžçÈO|*¼ú= \è…—ü ¿W>Gžgü×<$ÜÙ'Žy=ùÈ>qÕO÷ŸÖó Üð÷m^ïõú³#yž²£¿ÓE.ypdŸóê÷#í‚WäÅšï;Mýk_ yxì¨vù]Ø~Î'÷=ø#úG>³?ê%üÚî·ßC§¾ôë!p“‡ì~=ìÁù“¼uW;¸TûƯ~o{£å<Þªy|‹¸åxIžxÊGí³^êõ:×®÷ÑÎϧ=ë}ÿÕĽùGøàiäõz¯ Ÿ|¾ ;ïg»õv‹³~ôÐ+îiïõìßëLõ¼jÜñBÙWúíêïƒÂíaÊYuY~iO{èã§8¿Nžæ{“UùÁŽÈ‡çÄ/ÅoàÊ^öðS=eò‹ÿ1~¯ù£»ð—ÞÀ½¯.Góvù÷ƒ×|>òÏuzƒ×=O&N䟇þ¿Öw‹KoÏ{—ž^Ï‘õõjÆ%ßSö{"õè%üI^iGÿËÄ#¿{ÑïååSäÑZŸ«^áiäGß²'øºÖ¥§ýžÇÞ¢>±—<öˆsæ-yì û2ßésýu^ïßÙ÷öÛüàsߧò¿pÏïLæû¤üŽJ_ÏzÍŽì'ÞwÓ^ë&zÞ¿p¸ùí_ì¸a?{èÉûü©8ÜhŸüýœ~ä}ëâ)~‰oÖ•#œØÉ/z"ŽùwX;¾âSq9ñOÜù]ø«'}¿ÆòÓ>rÄý-êÎ[ØÉ.zñ(¯ÃGø°K½L;[Næ»öê‰cÉíï*¥ýúeb7<¯¦ž5Ÿx;ñXï\‡«ãkø-žçKà˜û5ò{bk_;èK<隆Ãïâ3¼ê¼ïߣŽ¬y'òáE»ëº¼ìqB^Eþu^Àû5ìá_äñzãOó®ð‰þk¾øÈëËO.|ø—|QÄÁïWó¸Þ˲ƒ½pÐ/Ç9~¨Çì?¾¯Sn®ó^ëáãO×ßÛÀ-ò ÿNœn¿ÓŒ+¾ôø¦_âøŠKà¾ö „½¹opí7àWÔãõ|üvâ9Úñ‹ÿê œõÃwñpäǯû}Îß»8áQòŸqe/¿žâwþWÝ£‡uÄQ>é'Þü‡æ#½¯á‡úàˆòñiöïû§jßßaþäEXg]åïZ7ñ ¿ºÎꇿ÷q~ |èõ{é¹ùcõÃgy€‡pWøȷ翳«ìèç 8á[ÄuÍoìåGäQ~Ï)óm}ͯµÃ×»À“ÜËißš—açû´·Ÿçbüìßñ$ëâKÄ>ä'.ø Y¢^‘sSýÿíØYú{½š#;é''ë’|Ä÷êo¾æÄ/¼ ‡ü×ïãµæ¯áñYßËÆùœü…/¿Þæï]/Ùu==~êO¿xâ}áÇÚÿŸxF~ç<{Ïkñã!ìKÜ\'ÿmêkùÁîˆwη¬ù ˆsÛï\~ó[œ«ÿ ü_ewÿý§³y\õ‘ÎÙ/õö| Ÿ>øËçhw ûÈÁ§ó©çðûˆìŸÌkþèv®çÎÈóßØIŸþì¤ßQ»ä£8²_<ñ<åñG¼ùCŽvâg‰[æ¹:Å[úµöW¼Ü—­ý‡ô8^M}k!¾=O?Öº¾³ïë»ðw=ülûäû딳֡E]ÎûœõÜzvâ½ü£_‹'k?}ðw­Ï.y=~GÝk>Ö±ë|ŸÂ?zÙñvÃËuþ]|ÇžwÔ>|`Ïkà„'xͯÂÉóR‡…Þƒ8®ç”÷‰WÇMäÃÕô;ŸCÖ<•:¯]ð§÷óÁ3êèZ—Çø<„ì Ÿÿâw û2Ê¿~®Êü’'®Ÿ—¬sßÛÝxÝG¼àÎïÔu`=ïã‰útíøU¿¯ï㱇žàc×KíÄ C<ëz—¬â(þêÍmØýÖw†R_æ:ËŸ—ðWÉyœ8®:÷lÇþ»É?ú¬ïêq=úÉC¼…wéëïµëŸëéWïwÂ¥ß/àWÄõh¾x§~—OâÇÎðC¼øGv«·¯S_ò®ñýœz׺ö‰/»éoxàMäÉš·ÀzÔ±×éÇz?ª?»ù_ø±/ó.ü¸˜~®}~Ú]M}½?’Ýòg¾g_ëCØKŸzub­ç”7úÃ3ÎûyX{þOÖwD ·_ä;àšyÌŸ§rýÐZ×ç§òû‡xã1~‰gO™Ïïš7Ö_¼2îÆGúã÷ܱÞÛ‰_Ö#x•==^ÂIüȼ\ûzϦ9/ûXÖü?â´ò…½1¾>7ªWÁóÆ)üj;àVrúýhŽOïaû"ßÈï}­x’y8æýß ¿âúšu]¨öÖÿv¡/åʃÀ;ŸÇ×óÄù÷ö¯çszÕ[íñ­üèûòʼnq¾ÖÀ_èÉxÓ{vä­úÊvà=;Äá2äá!¯µçwáì¾c}o?Å)óR;y‘¼Œ¸ñ9×/¯õ¨gÓßµN”Þ¬¿¯ÓÎõ÷„ý¯§¸n\º˜v®ñ,å¨/Q/Öó¸<Oúî'O›7¥Ož®zË>üL¿Å¥ðÍ<íû!ø³ƒ¿ò±ôæºêuýuú»žÏ'zåœèzßíôŠ—øðËïìÑ.òtíç 'ò"çÉÖó9<ÂþµŸþðÆ“‡ÐórÉ«ó¾g?àÅ×áw;qX÷ùxÆq¡¾~×_¼¢¾í‡8\Çýzâ¸ö©±;ý~›×s½ØZ†WìPégý‹·½~1x¿êgÉéyþÜκÜñ¡÷.ür~>ýX÷OyÔ^xZýz¾,ýßÒßóWøPqýq€gçIÔïÃ}z~ç?<áF.»à¡ýËì—ïÏož/vÁOäsñºš~¬û܃c®ÓZã…sòäûàNNÄq­OyŸz“ß?xÉ»¬eïú>\ÙÏŒûyØ{öÝGœµOíÄùqæ×Ú¯êœ=úÃïØÿ°k}_ˆ|þF<\èHïùÄg½Çz~¬}yŸï¬oý|õ¡ãâüHßkÈ-x¿ÑëcɃCæ§zöG¾u\¯C¯vWSnæm~wbí‡Ç㬛u¾Æ¥·°?Îsÿz~G+çÞòFܧýë¹ßñ“|¸³³ú÷ú /ÿÕýwŸ³‰{#S¿Ÿr?‡ò'×ÁùÎ{Ïc_úrŸaûü—¿ü=ÊOçú_Ìþ¹~Ößå^ûD"Îkþõ%ôÆï?Ò^þfÞWx6êžoúùŠñ"Ožãcða­ÿƒƒþpO}ü!Wû«‰Ó‘=üv=êz?—±K¼üø·œà‘u ýw²>¾OÿZŽ¼Èz)ÎÁŸæ!ûÄC](;O!ïeþÞ< >tÈøõý¦üåŸ<¨vë»!äðSÜèÓ®ò€ßô¦Ý-/ã~ý!ãÁ^¸±Sû¬kú±ëeöïñ˜ÿÉ7ü Þöz˜”ËçYïæœä‘8&pÊ: 7þ&ú•ýý\w¸\DœÙå<äöïê—z} "¿ô»‰¼Z÷ïÓÿüþY®[é8È««‰ÿúî™xäøI^ò ?Ná';Êî^'ÁòȹvçsäZ¯w—Ä£õâ þá ¿Ï¢îàGŽ+p»˜xäû¶µ/ɹöêŠz××>¼S\gwÔÃÅWþà]ú—ñ >¯õvø?¿ó'ê\Ç‘wa\rœ€sðzÅI¼ÀþÀœŸO|VÝ“ÑŸ¿ðËz]r¼ì}ÐÚ‘Ïþ†}ùý‡Ã÷¥•êÆá~ þÁËõ»éÇú®@ÆÏïâÃ~ùvç{×Ö#Ïõ<À§ú÷>òÔ/îúãgŽ/SÿzÎ×äoäóz_~¤O<žf¼ÖßWb—öüÏz‰W®Ë7ý¢Î¯uÕ×aþ™ßþnIƇ=úÓù³ÖO9j·«iwóí-ð ^­çÓ°§ùq¿_N?Nâ”y“þÁ#ì\ï[îçõnW~ö});Kn¿'VøÃ?<çÚÉég×éäyú߉;Ò>×çîïwù!ÎÎáî˜õŒüâG^ ø§Ò{Sq8ÉÛÌÈïܧ¸¾¯ùŸõåè>½ß+œ&n뻑ç9ÏÛÏ·ðÃk~«Ÿü‘÷‰CÅëD='ö>xë'úñ÷a¶[ûó&+?Ï'ë¾Ý1â¼æcå/yÁ·ž¹˜íZ~úÞÌSíùKÞå´ëæ×¥—\ùò2ý>Ú?µÖÇ¿Ö:Œäy×Ó£û„|.Z÷ì¹ü¬v}?¤þ±>xÍÌ«àǺ¯%ç)âYúziæo´ï÷ðeÇÚOÌOqË<~»^ÃuS8â»8±;ò/ßÏ例ž ^w~Ë¿‡_«®‰¿8à9e^ŠGâý8ý?ú~Fó.p^ßË€§vüÄãÏ[¿÷¼¢£x?M½=n‡_7Gñâ7~ò#ðÎ|_óòÎÕíñŒžÇéwãþôý^óNpÆ;¿ñ%êÅšçd¹ä°‡^ú’üL~§®«CôÝG;öd~â‹ã崯DZû8ÏÖ>8òåIäñzÏâúó´3ç™:oÈ…çã´íÃÓ/xÚõî-âª}ð´ßÓÉg|‡ëí´kÍ'ù]]c× ù“uÝu~«CüG~<Ï“ßQoV݇óÙÄ'ßÿ­ukò7ëÅÅôg½G‚ç}ÈËúÊ^ñÔïzâ˜øöý—8%ùÏ¿×/ñP?õƒ÷Gœ“Ÿ~‘¯ž³7ëaæ½8À!ãÀ^íJÏz.ÁöGüVž~D;rÙñþŠG÷÷#É¿~x*Îì…OÖƒ²/÷‘ä¸Øv_‡^~k—¡¿ëLįŸ/®çùï]w|Ÿ8æ¾ùäQË/}]wàÃ.Gy”ü7íð7êã/üžçxŸõ'ë‡xàÿBÞÚ§äzÔùü~Õš'ÐO;ýµÇ÷Ä!óä=䇟ë¾Õ9;ȃ\ ÷¾/íô×î>ü}‹8À•¼§ð¿ìøârÖ÷ "W¸˜ù×z Ÿ~ÏíÇä=ÿÈßü¦pàgÅ¡ÿ3ž±nu~ªß/îŽô¦â¤Î±;뛺Äõ9Æ»µÞñ3ôf\µË¸¤ÞGÞàEÖ5y¦îâwõwì|‡9ìå??Å-êÌ´îüˆøçûÖ\OÖë®à¢=\#NkýŠ¸ÒÏ/þœO¼ºNˆ«üt=yÄOú^—¨k¾šþŒgäß_[¯¾îðOÿà{ç™öð;Myý\…Gðp=ìêç¿‹gŒWýw ÄY<Õ¸’K¼E¾\D{|ºãZ~¯½ÏŸf»\?mþ¶÷ ó/Ä/yÆßàuÇÎxÅ<ÈxónìdwÆí2ÚÁƒ<öV|Oâù6ýêygöÈ—:ïûQyvvž¯×þóä<è˺î×Ú>ù{šùÓóoôºNÞ}ȧO¾Â…=gÇæ3ÿèO>ã§:Ú‡Ô¸‘—u†rá.oð2ò}=_Ÿ•ë5Öw #Gë.šÏ츞¿¯u<ßš_LyüÈñC\ò;÷í}$qH\àåöåüz¾ï÷Oê>E>æ|s?ϪKô]Myëý˜còÛ1óL{òø펾ë°æMžÃ^8fþ¹~7ýZû'ø¼ZÏQõU»¾OrTßð;òºñ#oJÏ͉üb>ˆ£zåÎðƒsÔõÃu8ìÂøã=ü>§?]ßKÎZÇùñ/ûÑuŒÞ‹‰ËŠÿùŒO׫÷yÞuåsò”_/‡5ßà¼ä¬õxùžãTóHüÓŸÂÇóI¯ÏWñàñK¼"׺1õ„=Y_÷ÇÉ“uß+_äSÙ×ëLô#Ÿßø*?Å#y-.ü"çaÚÙÏ-~g—8Ý>òWöâçmèÉüÊöøú¿ÃØq¸'~ð û×ý7û´g·¼~™væ8Úó©ò—¾ÌÏ_•œà}ϧðë~ú½ö;?Äá:ä«K®óWù•úõó;œýîÜÏù#Èyšö¬qçô}»5Oôöe;ù ¿ƒ_½ß—¿ìÀŸôƒ<íá|ñ»Ž#œÏž¿Ç|UoØ“ñ{›þ5ÞêÿÔÓóéÇšw¤?ú­}uÞó=¥·¿øÁ‡pʼfßåäWγ¯õžøQýò½ÉºvÔÞìzšxe¬÷çp:¼ž‹Ù•y›q? ¼Õöˆ‡|oþÃMý©ök} ýßÌ'þòýÏ3”žÜÏ™óKk_Qðo}‡ÎuõG\ɺ°ê¹~Égõ*ë‰8]O{šÕßsÖÇy=¿u¸û=øöq:²;êõ_}Ÿ@¾Ð—÷pÇíã÷õ\…ïÏóüp]hÖ#u*ñ懸†¼uŸH^ÖÁÀwÍ×à3;²¿óûy<±7ì_ߣ¼˜qh¾”œÎ[~&ÞaÏúÞ‡<>¬÷½™/â­>$>pK=Ú—=ï“yÊoýÅÉu~ó3ëZáÐõé,ìu ‡kKœ g¸õ|úùü=÷]öý ;*žýÞ‰íØ­®d=ÄkÇÈë¼êü8—Ÿ¹_|­Cz ;ƒ¯?üNNØ“ãP¯øXrûyš3ní—øøYŸ"¿Ö¼û"ï:?ÙÇÿÄ'òa­&'ã™ùþ밟]·!¯ôwÄ/8课%´ ûΧëûtꋸ\„‘Wkž˜]¥¿ýa¼yšý3.m_ð²çu\w 9Í#×Ùõ8¦Ýð¸œý×s-=¿µ¾S|î¦Üõ]§ÙÍӥ߉Ûå÷v¯ç—ìW~çß»[÷ É+ú®BöÅßþ»}~wT_"O;Îá+?àÈ~8ÂE}uÌß+}ÿN\.¦ÿ+ÏÅ%·Ç Çç‰|²_o=Çf\ázq)ürýÙZ×Ò³æëÉq¥Ÿï£n´ÜÙoíŸ%§ôܨK~î}œòsýFßÏ°'óŒüb'\Ë.óÖöósðgáø¼ÿ®ä‰oòÈ} yò>òp=O–¾ž÷~ ?Ä7ãM_æ>‰Ã]àü4ñí~gqî÷àk×yöãsòƒ'k]4;S¿zÂnýµ¯:”ßÙ_ëiá/Nðó»¼Ï:%^ò#q}‰vøýÖ¼ïmøÁýîC®ü`çó”ßüÁ«ëÀ!yÈ®÷ˆOò3êÀz•u,ê[¾ç[ñgwäõzO–í^gÿ|_ÒüŽü_<†ÃCÈ»š×s¾v}¯.Á¿õ>/뜓‡ŸÓž¯M>kÏŽˆûšÇÄúÓî’·Öï±ãiÚ»ü _¼ðÉuGy~t=ÈüåÏÓ´;÷¬<ã¢î¶ÚU¼óþµÛ¹wrñ"òm=¿~ëýøûÔ»ÖUd>À÷3ä‹wòC»ÈóÃ÷égöc‡q+ãö1û¯õÎÁë^÷*~—qŒq«õÉÓŠS>ï­ûš:öþn~ªÇø®~…¼Î¿¬Gõ…^üg¸±%Çß-êûq|äOÖña?ð ®üˆüéû)8<‡_ðeÜÈg_ð·ëbÉíy*~Á—߉ëìÊ<Gv9'‡¿~ÇŸÌ›·ïûµþàmæWÄc=Wß…Ü·ˆ¼#ÿŽÞ;­÷ é/ž¯Öw³¢.¬x\E¼Þg¾Ì|mþâ‘xŸO{/ñäGw=p¿pâÞgüøy7åjʺ©ð×ïpO~½Füø¶Ö+‰+¹™—ôF|¿‡ðÏÑõäKŒ_Gëò×<›ß/BÏóôsíÓŸÀ¥ùñ<»ûÞ®|ÞèûnúîC¼\/ýÍ vã;9ìÑïs×ßý‰8ä{€µÞÈùmüÎzøOOÄ+Ÿ#Ö|ÿ´zÙ'žÉsrÏì¹~ò„^q-×}/{²°‡O;bü=\—w~/s^¨õŠ#¿àá:yŽò#ôüµïx®÷!ù{Ö í;èÏq§ýø|Äý`<^ï·á—ùª_é[ûÄñøiÚ±Ösïz\äùú®…x±ËuÇ’Óûԣȳgòû+Ëzñ‡>ñäçûìŸûq×~3¸ðìMžâ‡8À3Çß·y½×_{fÅßýÝZ/É^rÉ{œz­Ïëç{ö”ŸÞG¶8²3Æ¥õ¯ˆÏѼÀѼÉúîtõû~?_vÀ9êκ¯/<úùˆðÃûäMµ÷ý.öÙ´¾Wñ]÷o—¡'Îs?@¯›SOÄÁyÙ¿öçDÿ|nÿè}œú×óAñ£ëÒ_¼ƒ+üé#Ÿ½)ï)ôá‡óò£¿K§½<}#¿õ‡¯~ðõ;þÔùѾ§µQù‡_³ÿÑû£õ~4ðÊzÒù¤>ŽýþFˆKÅc=¨øÂ~§üñ½ÀÞOÍŸ³éÇúÎÙõôg=ª»px<ø>úÓ—ø]]y¿É»8ˆïý¬¯kþ¿®¿÷÷pÿ|¿uoõ"ò­ËüJžà“v‰wñã^óK~–¼æÞÑó2ñÈï4®÷¹üà¿v®_Îó£÷>¹Þ=ãÕ<æÖñWq—·úó/âŸÏ“ë{:§ˆƒ~Áë7׌§°¿ôô}~çÖ›üvÄ“û‰o~ïÿp¿·ø°.Qz~­ì¸)}7ÿPrÄU=ͺñ>¯÷|`Ÿó·ðNGõVÿÏÐ{9ýKž÷ûÍigÏ÷i6íZó•pM;ò:;äkÙßÏõü¾œM;ú¹ ÉcüÊøâ³ëp€ÓÓÄwåWÓ>z^çõµŽ\ÿSÈK¶Ï§þ|¿·öA%ßñ:òîh]÷²C<ñ2®÷÷Oøur­g §ô÷ó¨:€oø¥Ù•¼\ï£'‡ßYÑî#~O~ÂQ;væxúLJi÷zÿìÏðoþëuR?í¯ÂnGþ$Å žüÈüçÿõ<æüáÚwÀOýð!ó"ùK^èéºÌ¾¨wGû¶Öú_×åqä[ã|5õ®ç\þF]_ëèÊïÆ/&NùÞ¹ñ8®u•pHþÊ;òœ‹wÖsq{œíhõ*÷!ÜÀ1ãÊNxÈ—àGß¾O×z`øÁ™—á>ñ‡¿ŸM;×ûhò/Âß«‰ózàÇmè?2>ìõûÇôó÷òë2ê‹ãÛŒSçÉK胟x[oäs¯ÛÏYWÉ˺˜~&îâFþÛÄq½g~ã­vüË:"nê¶þ—y=Ÿwò9%×·}éwÔŸžÇQG~[õ¦òc}ÿ äö:×yþsé[óC™·Ú‹ã}àøäz±Æ_¢þ¬õvò¾ê[àšÏß9O²Þ²+â»Æ üÕ^¼ØC^Ör£®«C7¿›y¹öÑ_úWþTþ§\þ“ÇGögžáAä}~7´¿kÌ?¼Ç¯ÛˆypgòO]ʼ ¾î×gÖ™Ðï(ŸàÇÌ?òüÎïë©ïÏêØõ"ýuÄsqa?‘<Ê:Ùë‚è‰|^ã¼ïBxkïºøû^Î#?r=ñš7ªc¯w¼|ä{“Gòâ2ÎåW¯ƒ:…?ìÍ|`'\õ#ç.껎âzzâ÷5n>Ý_$G\/§Ý•Ÿ?BÞÑóYûÏ>ü€÷}Ô{ýø!ŽaÇZ÷˜|€'Õû‡ù{‡Œ_™§ÆqËû‰SÄá-ð>À?Ÿ“Oä±ï2c|Zϳü€ç{Øý6í]ûûè=8ÃC¾ñ‹ø;‡?ýW¡¿àr;ùÐqÂ/üuþ~d}vLýpä×ù¬3ë;éÉëó‰ûú>:–ü€/»äÝÅŒS¾Ç[Ï“ä_Ìþëý#|èã_ðv­ã >­ùßÈç^o|n¼ñäbÊÏ÷ßëy~ŽY/Äÿ>®‹7;3¿åÝó]QWrÝþZ×y'2ß^gû¶_\².‹sÖC¸f;zù‘¸ù]õ¯pi|ðÞõ«÷×uëcÖ:¨àùZíÙGþgøq8GÊùu±ßß;>G<ñW>ÔõîO~Ô©õ<øeYó¹ôeþg^È»Çÿõ¾²ÃóôZ7öòÞÂ.ý®¢]æ7»ñFüª_×Óð³ãF¾óç°'ñ ~v‘+.·‡ußJûÕ‡¨S‡ïíâ.Χhwz.¦=ë=‹xå 9·áWñ¾ÇEqQŸŒCä뚗ϼTÇøÏÞð)ê溿Ì<`/y§ðïjêï÷cðzœñ#÷ßÂC} 'ùöý“gòNð“—xMŽ~ôÁçiƳçø §Èïú‚/k}ÿé/¿~°›?ìÂßàåÚ·tÀïæEÔ½µ(êÛçäósاóiGþý²µ¿ãqÚóOá_á•ßQÏ|îuü`>ˆ{Ô¡µÞ7óGí‹CœÿÕï”$ùƒo…K®k¾FÞd^÷¼>œfèwþ_×}+?ÒOöDÞ»ÿì÷Qo3^«>>Îøôüž‹Çë´{ýýõ-ü\ëŒà‹?ìöñ7ùŸ§\Ç“÷=?õ@»ˆKß²C{¼#'ë_òžÎ“YG>Ã~çGù¡|ǵ¿_\ØË~ñ{šxô}õyÄGÜ.¢ò”½Ú“ÇÎ×ðŸü—éw~ç0׋÷º ´ Np`ýê‘ëðQç3îüÿì h=ײ›q–Gì†;«ÝÍŒcɱnàæ#ï’/Å‹þ~Êç̳õ\’uµÚ^¢Ÿö¯ŸwBNþÝ‘¾‰8­õ ð¡ý·ßçO¿ïgñ¿›ø¬ùŠ«ÿ‚gkÝvìɺy1í\ó[™wü ?âÐüyœýÖßc¨ö]ïù·WÓï5//ÿðö /öévf7¿_縰öIÓ§_Ö³ð/×9®ýQúÁç=ú±“_øìºs¼-9§§°|×ï§ÿ}ÿèw¸f|Ÿ›ƒøôw©ØG=ò;ûÙU86OËŽ%O{uò~âÐï'èe'>‘£þÊGñŽüîñáù@ï}èÓÏu~e}`gáoÞ¹Ç~ž…ŸqÄ»:7ϱžðàiþ¾¾ûq_óJâWzð7ëKŽÇaD=èú¯aoâ–yN_ÙÕxɃ‹Àñ!ì ¾ä÷îÖw‘/ç#ܲ^Ñ#.góüh>}íø˜vås˜q´ÿÎbäÙÑü|ûagÇ+ýÏøE]Xëž&žë=¹QwÖýñç´s}o¥ðñ=†æOùsâ‡~çÃõ×÷õÞ–}xÇÒ¿öëֺߒç¹g­ˆ|ê÷hìS' gëis~6ד÷ú öá“ßÙ‡§xGñsÞâÍ^<¼œøv¾]ŽÕ¯ŸãØ_¼Y|ÆËÈûµž«üèõØâMø–½}μ ¾¶=âÊÞä·¼)ÞüRñ>Zÿ°æß³~Ñs?ysT?¿ã9ôá¼Wýð~uÞóöü_vãŸþɯ¨G}-¾Ú?û}Ó˼žóKÆíx!á’yúò¾ºóñ{ëg/n#NY7ÈÑ_—÷%_»×y=ÿÅšwÕ.©'ëúÙÄi­—ªã<ü˜ñîu ì§/êÄᾑˆO×Ar]Wù~ã%\ÔëÛ¨·QßCÒ#oðë|ÚµÎK¿õgGï ;¿õÏñáÇçô»ó)óˆüÆ#×ÉK¾ª[yý~žw~¾®ÃS?¼= Üñ²¥_ÚÁ+xÔü¯÷éoóˆ]¿£ïh­uEQWó¾µy|1í\÷÷p!¯pñœ®›ò(ôçþ†5¿ ?ùËv8/9?ø-ÈÃ3ñfoúY¸Úןß+ïyº×ÀSÜåùøÄ_ü̼Ë|ü^ïU&Žë»¢äNüÖþ#Ç—h÷>qêçάKQÇ{žÂïâVíz¾þ<ü¦Ÿ¢çz¢Üç²ösE]ZÏ/%ïF<ðÿå—:Uò;þŽìQçJo¿w‰øôs;{ø•y¸®¼uŒº—ßh;ðÿ.ðä7þÃ/øWýr^¼ŸsÉ}ü>®‹ï‘ýžõbÚŸu¦õÑïÄ/ÊŽþ.gÖ!|f‡º{6ý^÷g·a?þEþ®÷fêþüÄúàVíoªÝ/uýæ?”Ür¿Ïz_u ×3¬ïóÁQV—Oÿõ¾¥p9©ëâPvÛ‡ÔßS¨þòq}7žÜ¨?k^V:çWÆþéÇ/¼KÞ’›<Æ'ýÞÂNv¾ý÷Ý.¢?¹øŠ콞zò=¾ãï«ÿºï|ˆþøxòÎ&Öº5íðM^=^ò"Žk¼ç'î9n®÷ êyð|žzí']ëB鹞z:žO3ë}ÚãÝâv®uÁŸ¾Îoú¯¿÷kͦ§žŽ¹ô^…ýøüκÁ߬oðÄ·»i_>§7¿2~i~øŒgòL~>„Ý3=þ’/ßÒ~þG½]ë)¯##Ö}"ÿáÄn×áüé:sšçù¾x­/Äúø“vàÅ)ùð4õ®÷5Å£ŽÞÊçü“ÁŸ–ùÒ|gŸ|üü¾Ý’õv½Çs]è>þö¸é?àz=ñèûš<Ï:Ø~=OýyßÑx“¼Í÷WÛûÄm­³‚þݯJîïËÏWööýû#Žïž‡ ùYçzû9ò9ôñû:äˆw8‡ÇOÞf¿U×#Osþi­ÿÑßïä8f=;Ÿz×} ûô/}k,¼Âß®»ÎÙ‡ìy œ’OÕ~åßµ¿›Çæ;üüŽá~£óívâ~¸è2ä„çågîéüÒ¯ì_û#¹Žn­§Žø¬ßÓ´·çÊÏß³#òdÍçÀ!Ú­õ×™Q_Ö<8<á8÷w¾ÕCúÅ/êNί÷ý0¹/¡çeڙ߻踈¿Å¡pNÜ{Ý›ºB?Ä'â¿æ¯³žà³ß#ŸæáÛþø}­+a§w¯çöøÝõä!žÇø±î+àêü"ä“›yñïvò»ôþÈö¥ï^ò/ó;pnýp—_Žð-ûÍ öþ\òžâxš~°§ùsÄWþ⸼L;z߯fükûBNò%Û±£ô÷û1|Ò[»ˆÓšÇð;^M¿¿+u·÷_çËè—ãEò-yþvð3øÝïCJoo­píóàËÍŸK®xò×8ÀŽà×Ñ|ûZ¿Š×óx´Îbá$ÏÔQyÏNòÅ N%¯×A^†Þˆÿš7’ÏŽøYzúýYèïïòÿsú•ë‹òýG¯ƒåÖ½ƒ<=z?²žûò˜|+ýkžãrÚ•ëS{Ýeðy­?+ù}”uÒyé±àè9¾ï—áÄþùÝ1óŽ¾"'â“ÏÆ^§ú:íYûÄÝuí2.~×>ø°ì‚“8È8Á¯®gÝLy¾‹¾ê¹¼{™çä³»ð]ïÕ¢>¬ù~x>F¼ý®ÞàÑÇ´cá’¸‰yÚ࿾;ývEܾ#ÕíÉ}‹cÖ‰h¿Öm–¾~>¡½Ó®u_üËùØ|ÎP‡{?Oæ-?ØÅþÄC?öd^Ð{5Ûç¼àQ]_÷­ŽÚ…ܵÏÎw§¿Ë‹§{œÂ÷ð3ó£ï'²^Eÿõ—×i_û};q9¼Ÿ$÷!ü¡÷.ŽÉûäõÕ´³óNüÕ ú¯ÃO¸T{ý{]|ßNü×ú’”“öÂø_u"óÎñeâºÖ°ó3ä9^D{ñˆvôñ+qÆëOÖûž÷×E—ûÈö½õû/…‹õFkž¥úßð+óTœ+~kÞ…~í¯üÇ3x9ʻпÞûE¾­ï _Oú>B¼Ã¾\çÞu”~þ±“=wŸ¶ ñv†¿ÖóþÈv…gß_âw]ï:ó4ã²öýœ¦¿¹Ž¯y˜ýøö®õ^wÑßGùè^äªpQïù÷4q^óápI²‹ŸðŸpÇ+réÇߌsäõཎålÚÓñ‹x­ýoð:›ö­ï Éö¨wêDñ¸ß‹T;ïcó¾x­‡ˆñh=ïÁ‹Ÿóúz¿$+{Å·ôç|j®ŸÊ÷[§ÌGuOµ÷»øáÃK´w]â¨NF¿µ¡ìîy·öçñ“ßüRGC¾/éçþò놼ôëbú³Þ›Ôy/%âµ¾c€7¥§ß7‘§Žß×ü—vêKåÉévâ´Æ?¼Îz¢NèÇ^ü ½Ýu¦Û݆ÿê­:GþÊë«ù{ó´äª¿ÚÉ‹Ì¿Ûy¾žƒÙ}ý=n¹hÍÓþù¾h½wŽü\뚃WÍø«Š¿üž~øª~=®•¾þŽ%\³Þ°^9.°[ˆ¸Îkâwðs½WÃä9¿ñ$êƺ|>‰{äÁוWðÕž}~‹Ë]èËvÁ¿ÓÏæ³sù§Ÿ¸„œõ|ÉñuÎŽ—¸.QÖûpñÌvg?|ñæ5p»v¥çæ?ͼoÞFþ~çænú§]¯¾ú‹/œüõâ†ÿâ&¿ÒŽÂS\{¾YráÏj×ûÅÄŸ}ϼ\çêSÊ¡âÂÎÌ«ËÉçõ]óÀ)Ÿ›ú}8¼®'î½Íõò£ëø¾‡û¶ñŠ|~Ã…œ’ßßëx–~hWýû>4òc­Ÿx|ñ—ìªö ~–_ù½ý¾Ÿ:M½]ÏÙ7ý\u¼j·öAèÿøý8p´o‹žUï£.¬õ츊ßߦ¼qÌùØÞç™yX¿ç÷¥Ö{ ø¹NNøq¸ž¨ì¿®›ì$‡]SÎúN×A×¼´vò)펼î÷Ë®«gôŠ§¼H~‘o~j‡oâ„o®ã½x+¯#OZÿøËÏÈß´·óC®7:ÜïBOŒC=OÁ^|Ëúé:{ÈaOùã=y¯çÐ/ñ^G|õ{ñ§Ÿßãˆü7ýÅÉïGüŠx÷÷VåóÇ”ÃÏ“ú£.¿†ýxž|‚+þ8——üe¿:Æþ:?¥]pù˜qÈq§ç3Å>âÃ﬿ïÑŽýÿ_Öþ—ÙŽ§Éó=H¶¤Øƒ„Š »dǦ¤+Ýóëkb…„š 5KTH¬X#¡fÒì¢FB3Ho@h˜ÞÀ®YÅ×Íâãç#OÕ,Š“™îþ?"ó„ákÖö…|·÷ùÊžÐE/Bwø>.åêó.ŸÜ¯äwðÚw÷àS¿^¢ø= ?žÀü€/<×T~%züøgÞÐ:¾ítð½’–O€ÿe/2Žöèt¾þ?ð·ô0ëòbLJûêYϛكà•ñŸù?ìý~¹Ÿq¸æ÷ÿ³ŽÙ·*?ù~ÐÛ:GõàWÖv%÷s½æIÜWßøûô‹¸Ù·¨øcÉ5óÔ÷üz:ÂÈaèœÆp>È5×ý¯ð/þ röˆu_³®—6r›ùƒ?ìYÞwmõ²à:Áï²ÛÔ“e§Ú{aÁ7ò} Ü×;]íý±ÈëºOûÏ÷nÛ{ ñá_ìÙ‹½­8$ëxY—< ¾ŠÝb¼RñBø9`¾ÒÎQeþèCøJüîßO\G¾¿ìü-|‡Ìÿâ>ßx>®Î/üë}×ÀÉú„?™7|ÔKØ¥v¾(ôs]^ìðÛû?w¾¶øü¡oáW粞±ÐÓÌSÿ÷= ^¦ Üèqä/v$ë˜uÞe])Í›0®Õ Ò/ã·¬õdÑ_ç¹b¿ÿ×½]Ín.|âWËÏ<ìü+~@Û¹†—;ÞG„>Ú½ð+ýB×·^¾§ÞÎÝÆNB? þj³~õâ Nµ¡oék¾ËUç¥Íß¿à³ðçþpéQÖëoû}îÓ´ºSÖ1×áÃgð)ö&ú™u ÿÓrZ~3ø„ŸÔ§ÅGûî5ß³oïýä~ô mìäµí‹AÛ~ö#ø¹Éú}D?ÜoçжzÍâïãÃ~¿}—#ú=ùû|áOš]ô—|¥àÿ_âw#'éüCô&×Yܧ]ŒG¾Ò®yëÜHú‡¯¡?ü žÑ‹ô¹_ÖöIâ'`ϸï]|Šœ†?”«c§§éíå-ö:ü‹€óiÇ£®#7°­®úónøüƒWäóÛŽ'ÿ¯.vû£•÷nÝÞ¡'öá„~ç:ðaßÚ÷¾Â¿‡Ô—öÝܽá׺.9]òQßc ÜÈkøŸùÃÏÈÁ×]¾í{óÕ†/k\äöêw¤Û÷é·úÿèKž‡þÈCð^òVu‡Øƒ¬GðŠ\†ë~}_"ú¾….Ò“uÌ}ÊCæY÷+Èøô#¿ÃŸŒŸ£'´ÇΗ:?¾­þÍ…±Ï¯A'øZç“oÁ©:ô§øžþÁø´úqèŠ] Ý'úgžÌ>¾ÜùÜö©ï}húŸñYÏð-ô„_Y¿Ø±¬+íCø¹iç ƒü¿ WzDyÊøô~¹Îó_;?j~رV·Î:FŸŸaßIOæ‰ÜDß2Öõ,æ­^>|}ð3íütæËiï¹@NÔ>~Àýð)xŸÿöýê3úµï^†þ…oìOéoä)vj­OÉè->ÄŽ<îòVt¯À¿#ï›ùàCýʼáOä&ýÂïï;ÛùµàÅu‰ü¤ä»—L¿ÌCy }Ñ›ð)ô­ço ¿-_Ytæ¸Ë?ž{¿:W”uüz"/áÖ‘z¢q>ì/åŽßª8øøÁõJÿ_ûü•G‡?‘cÈi{Ÿ1pCwîgsÿøðx|ß×­¾+òkÇ§Õ ?ëñq§§ÅÏ‘ËŒ#¿ ¯uÞõÓ¾níýªà—ë¬×‚ûŽø`JŸ#oYèGáø¡'ô…KNª~¾-ü’§¶ø'úx™/r„õŒý¾ýô=rùýú¾îtµ÷¼h×'ëþ¯þ7ò7ë~±£™'úƒõ~ü²ãoß-hïUB>ô}+êcä ö¥êÁûõN]G?_íül畃GÆEß2.ëOx°{­.x™ïã·ä÷ àØå­}7ò½Ž|çþ÷}¾z9È|öyÛ÷ˇÕþÅZç:o²ä(ï«•¿„]©<*phÃÏÈÑâSóËóèKæ‹„O±л¢ëC½«ºå:üüµÃãy)®;õÖΑ¶}ÅŒÃ:×ùž¬kô&t¬uI\Yç¦^ìü«úí'ŒŸ2oøùIèŒÜDÂßÐAþ€~Û¾réyàγì_ä$ü¥>ÿÐû:>ìv°äñoûs~ÿ¸à†ŸY÷¬oî§_æåuè >Y‡ð3ò“ûŸkú‹Ìzüö}ZÚ¿à›u¼ÐþF³.ÁcᙺYÛ Þ´›ÁtT<”ù?îòLÐêV_w9åûIµ?zW{[tÔ>oô?ú¹mû ñ_ÀÏègèÏ:Q¾"ÏàOû>Nøžy³ž‹ßùþdÙÍÀû~‡Þ¬[à‡o¡û׎_“3ÈýUù…Œ|=ƒè?¿7L¹åþté}äýô’ðC7ù¿æáù:OøYŸð-p‚'ý@Æ}Ùùßêb±3‘ŸèSÖ=ø…ÞG¬Wð$œŒã<¯v:ÛyžÐü#OáWð‡>V¿_àKøÿÏ?î|«zQäæåÎÇvNûóRÏÿvž-ë>…žtç~ìÔ3à¯þ-NŒF^¨W™?|}õø…kò+màG^"Á~ ñOíoü€<¦æ§} ‘ÓܾA.k2ë¼)/i£G~g|ðŽæyî~ä"üÉ:½~à{óÿ¸Ï}/~³öõþí>ßù=õìO¾‹|G^i_"?Á'úÏûáGè Ü%G·Èùº_ysäéÛ¾í=ßðôò|uÅÙÁ3Ï3>ëH;ýú8¯€OžgþÐù_t”ÞÀ—ë{ñ|Íü 'mà¿ô#>Ñ—À<…^øê7¿¯ú#7|¦ä*ô-ù(;=ËóèqÖ'Ïþµ.¡3mø=ˆ^…Þ\g@_ð]óTü½¥¤”ø ö%Ã߬ÚÜKš\üØûµ}ö¬Ó§Îf2oô2ë÷ôÀóÚû²œ'ë|BWø»à×~ð'´‘×Èé!üÈÅç}\Û[øÕ{Ðûú®ú¯Ýóý¨ÊÏÃØÉ·™oËþOñ1ó~ßÛö»ÈY;'·ÆÕ÷1ÂØÍÅÿŠ»oñùáF.1OÉKìfžG~ìó¶úXø|7òñ̇“/WÝ&ó.8UG‡½jv!ó‡?Ñ+è]á ûš÷Pl¿!ãÊÎg]"W¯÷¶ÙáÕ¯Þky½Ãoï …žàŸç˜§è‰^Ážð=t~žïÙ¶óR‘÷µn•A¾ªÞ—y¢_¸áñÈ:†^È_éå)Ï£_уÐþD"¯ÑÏô[ã˾¿Þñ-:?íx—a½k]¢Á#x_«#·xàq·{Ä¿ä5ð¨?‹®œ«ïá|ßç­¸(p¿B¯ÃŸ¬[ô%òuËó¬ìWÙAÊEðͼáÇ x±±_Ðߪ»üØçkë·æ‹Iºö/3øxÁ;ë>F"áOÆ=ìó2.oçÁÃ'Ú—èôÖÎõx)ô‰\óýÕ¶¿þf½³¾‘ïèý+ÜÞŸ¬Cø{\òLy ]¹ÎºÅ>=Â~Oêÿ+Ìzƒðkï+‡/YßÈÉK¬WúÇÄîgý¡?¹ºè'h×BOä%ðν_ûÞbð üÀËúGÎ÷cæßÒýùþãßÊ#`OéWy~µèÍzDžÂoÈ!÷QÞ->çü ߇/?8YWØ·Â#üXü\ãÊo.¸õÞÓ—®Ò7ð)pË^ƒÎ[ðˆ,:nà§í³ð|BÅAkÝsº£¿Y—Ècä)x_ÀÿVy¹óãè/{ >§^} ]¿v|+ ¿_è{ ýþ¾ß§_®õÍü¡'vëÓNg«û¤_äèØékûŠ„ûjŸŸõíªsÒξÞñˆ^ýKìOà-¼Ê¯…¹ÿ°ÓQòøáÏWÀ£\†ÎûýV¯LûaçCåeº€Gá>¯ÜÏú§ø ¹áÿ"µ:täóo»Þ¶ó¡—öå#ðú¶ÓѾ[;YxB~y~¥½ï¿æ¥Ý«uÈzNøóm‡ßêNk³ уjƒwàdÝÖø:g<¢‡áë¬ÏϽì[á=\òÎó$<\qbøý£Þ…o¡3t=îô—Ü׸κP>ÿ3ð‡Ðžd¾ÜÿþD~?| Öz1ÎãyÒù.ë¿æiïWFÂÏÕ/uÒãÐ<éŸÒ~ÙùÕêÛ¡#pA7ë"ùUñwÝ“ûáWôdñ¿öAÉÒýü_m}G/|8±n¿è(?G?=ÌzBŸXç/<ï¬wäðZ6ò—kÄõžö‚—÷€Û¾Ö…ïõ”¾¯çõžyèŠdh‚ÇóNӯاûz•|q|Ö%ã? ŸÈÇعïäçåËnfžÐ|/ó®uiß|¾áëÀÅýâÇÏÿö=ŸàÓ—N¯ÎºdÜ·ÝNñ;‚uý_Á'ü&ÿéÿBø¡ï±R?bð/ðÿô-zýmçýÿíÀO¼ÞŸ—ždžÀ!þ±?™?ró°_·ï©„žØEŒoñoìSô?ò|ÖzU½yÁ©:$ì9¿/Zû´‘ÇØ¥èkîg½A×O¬ùFûº¼:W½\tñüwÛ˺­ùx®#m[ŸÈ×ð#vãø¾\;Wþßáë«/îO¿ªe}¢?ÁŸã"‘øžÿ©ý¬Oà?ÞWçÚB_ä#òð÷_bÞÐuÓýÚÈô†ïç¶}Qêù¿.9Šœåùšï8±ã/àÚ÷¿²î¯v|+nÎ<‘Ïð5ë}Ÿ³®áSÆ-|Eÿð9ü‚kïoD®b÷‡Ð8ѧO;=í¼Vô7Ïsÿ×>¾ü]øôü ]™ï5è‹=ûp\£3z¸ð©sŸ¿vøUïXpë;PѯðaÑYßÓÎóàºé?ò°ð~›ñáÛ}œŸ«zhæËóoЫø¥oÀ7ò9¬ïxg=ƒÇç]oHoí£Dž3_àäzÍËï:]äkÖ9Ï£ç¿?ý³þÁçØù§ï±çv‚刺‹_xÞïo¾?Æ÷¡>á{à‘ÏõŠýûºþ¦àÄ^FÎ#—¶¯= ¿£¯Á?tFŸøÿpmÿ#|ø²·ákíç-~Ö> å9|û~E~§ð#ø…Þ¬û¢›ûsŒã‹Ï‘¯àŸë +rþ‡þð?ëýÿéŸ_îýùý§öÞã¯ý~ÙÍŒ#k\Õ[2>t< œð1ðÂÇÌ›õ‰_ ü‡ý>χW¾º¿`\ú‡?ö¶½Fyÿº¯;ëíýÚðuµùÊ·ð€õ ¼¬côfµ­LyJûißöeÙF/ƒOôxáYß]ߢ”GÝ?ˆüe\Ö-zùàxú·ð%òµðÏ÷‰Ú¾GàÿÀsØYúÿ’Ûð5ú—q‘cŒ¯zàãNW{?ãÛΟ’Ãð?r•~‘Ÿô˺}ÛùÂs³ïÈòòÅøªÿýº¯›í‡V|¸/öùZ].úõ üþ«M~Éóïu.rRçï‚gÆ}Äýà~C?êyÖ!öåaçK;‡:#O¹yÈø\ÿðãÛοj³ÎÑð¹½—’uÍ<ákø™yc?3.ë½Ymûß›¬×7Àû¸÷~å£ç°«Åïôÿ§5_žÓßÿ‘ÓàE>Æ~Áî´÷ïà/*.œ¬öñõ>÷¨ç-ï#¿!íXèÏuÖ!ö.tfž¯;\ž“,¼2.zò ød^èkÅõákä$t½ØùÊs\ùîm}o÷o èd]§âº¬Oè?Òô§ž}ÙùXÿ›”uŸÃǬ˧ò ï;í{'|<ÒFž3è29†cPû*ßÐBèßZ¼}Š~‡®ô Ü\?ï|«õü±ó‘û°ïB×ú¢ß7É:.¸•¿/»WñLè ý¹ùŠ~|Ÿ³NáCæ= _#gO½ø°ó¥ä$|¼ð5òºCgðXt¤ŽØâÝصà—ëð9üͺ…ÏÔ—Ì {[t?ÐQqeèàÿ*ò|4ßÓ­y)¡wá]õùà9ÜŒžÞí~‹c¡µnák𦾮qµ>øákàÇÞ„ŸY‡ô[ëQqçšçqõçûŒ¬_ß‚gäýð=áû ÉkJ¾ ü~HÛ—ˆ¼…‘/èÿ§‹çÏí;s¬ûµ÷Ò`?ë;§«å>OÛ‡¼èóz^õäo;^9·ÕÎɬñuõûŽWégèYpJ^#é—u§~d]¾ _Ö-㣯¡;ü ¿Â_Ò™yâç³N±O0oèɺÇ~džÌü¢ÿ™/öbµýË®üÎ[³ïŸv¼/óýÝÊwsz¿ìýùýOÚ«Úç ÿ†žðÿ­JßÃøo~·†uÖ–Weç ÜÈcôt=\Ôû©¡;ãÀï÷tr](÷™Í—zOóo\Çð5ó¿‡}Þz¯-óÁ®´ýœð‘ðÖ|ô_UçI›y¸'žð/úña¿ßä6ú}{‰~iíÏó^\Ù‡ÈMÖã%ðü·s‡Ñ‡èYà…µsÞ¿v~…©w–ýÊø…WÞ3¬¸9Ï£/ßw>ª|RÎÂß´Y¿Oû:ñ=Öæ?(?¡3ÏiO‚×ÂG÷‡×<í§hdzžX­;qžôœÈuÖrÍs­¥¿C´Ö«ò¾sçã ëÙ¾ ¸ô/±g_wzÚû“¹ÿ}çK­ ä²è‰Þæ~ÚÈ×ýúøQö*üÌ:|žÁ+üýµãÛÞ÷Jêgø>=îrSr;¯|²ŽÐÿ÷œ?mÆ…ÎÌŸy"k=ShyYä,ëûx‡^ÊíGàE>"Ÿi)gÁ?òøé>Pï2òÍïý°^“x³ùÏ×;Ëþ,8©OTý;ãÒÿ×Îfó|µ|OvÚö ^æ_ô$¯iñõ“vû'ð}ÜùZz~À.µïäyÆ->¿Ë5íläòXù2äŸó–ÜE^#7é÷jÏø¸ÆGn>ìxè÷z€ë„õ½§ð-ó‹þð=ôZßèq®c‚_ä$øî×Îöá—;Kß3î‡X{ïû–ñ”—ð)ëºÝáKæ[òžï×óý©’ËÈQüLÚ¬ìp;Gù mðÝŒ\nèI?‘gê÷¿ÊOD/Á'ð÷=ñ͸ÈEÆOâ;Éýˆ¶®á3ä±ñuµù^AûþøK¬_ðžY÷è ô©ð^í½øÈqÖ#ã3ä)v!öæÆ¥ð‹¼;^5_ø”óð;í;L”ÇôÏze\ð ÿÖý²7Y¬SÆG®¿ìülùqøð°Û¶NÑGÊô¡ü}ðãºÓ¬yÛ¾ä—ßµ¯~Ú±È å0øï«ÕÃ3øÒÎÏg>Ú¡¬oàd|øˆu)þõ¼ìtúÿØé¨u¡ü…÷õ«õxÆü°¯ÌÝ‹Ÿ'Ï3oøKúƒìMó7iÑÃ;Ÿk<ä¾Õá‚Gäã1žþ!ô†ß¹O¿¬ô(ã¢7°/mÿnÁ©¼6zúè^ÿ¬Çgè_ôö¼½sîtTÄùCOä7ë 9iÿË”u }Áç˾îÜ*¹ ?h×Ó/ô|| _áKø=¬|&úú‚ÇO¹û¼²>Á'mäéØñouÖèä¶Ñ|"WÁ;ë˜çÑ÷ð¿b|ä7ëžuŽ|ÏÕ¯Þȸð…ò¾fþèKøþ˜õ«ü ö€ïié¹6ã+Ö¡üvøAù^ða‡Û9^è¿ù…7½ÞùÛÞ¦=„œ5ÿø<£G›õ¹ÓË8¢â§Õ?ïÁj]6ø¥_ä†ð³Лö>Lø›ëŒÞçg}±Îi?ìülï{Ä>SŸBGè‹|ä~ðƼ¬»Õ:„ßYç܇yùR¿®ùÂ÷àŸùÂßÕÞÒ/ü¤ÜGž"ŸÐ“z¹iïag|èÈú„ÿ\‡ð9xdݳŽÑ[øév~•úžu ÞÁ“úÈùr?~*ãÜÊ󣧡7ð׌Ë:æyàGŽsÿ3æËz§_è|†Á#ôs]7x†ÏxY¿<ÿºãWò›þ ¯Òëoûúòûv ?Â׬ñŒüÓ-;Âú.ßÓju”ཀý¤Ôûÿcǫ΀om~ÊàT>D>Ö:gžÄK9wÌý¾Ïò˜ëðoáÁ÷/x^˜þºÖ›× ¿ÇÈ/íÈÀý±ç9曕'…ÿŸw¼Úy“Ø©àór§_õ"ë•ñ Ÿö~3ìDÛÇÎøÇ^Ù»À‰€<¾íý^È[«ý Ö£þoé+ø¾Îjë}’èË—]¯«~ ûdû’e¿Bß—½ýÿNÖr×ü亮ÃÿÐþGN ÿítÖ)tf}ÓŸr{Rç ¿a¾Ð÷tEÞ¿ÜÇ·½GJ¾†ßÁ#| ÿ².¹Žþa\é{ZÀkß ÿ£ÇÑÞ±ó‘uåVW<G›çéOþDoò<ב‹ð7ëûÏIç~Ƥ_ø¾†þÈiüχÝ~¶ý̯à_èaâú"OYÏ…õ˜û;¯‡¯Y'ðù-Ö©âèo­g®#§ ÏÇеæ¯}çе䵾ï½›xÞá²ÎZó…Þð9ö2xnøþë´àÕ{9™ö:üiï/ÄŽf½0>ãh߃7ÇAŽZ¾;}ŠÜg\ÖãõNOÁ_Ï«þ»æ©ÿµ‹½¿awÊÞ¡gÁçÿN0ß,¹„ÿ®úxÖ)rD{{Úôÿø<2_ä8prùÃïص\‡?/v<ÚzdÝâoà7Š?·Ú:W‘6vàóÞ¯×}Áçî;ß·Ô}ÈcË`oy>¡âúÈå5p¨o°O¥Ÿ¿¶?qì×|_”ßà¾;ë»íûÞ¹;99öùÛ9ïÐûŒù³>ÿã¨çîpZÞ÷Cèˆý~/~FÎò=%ú÷¶:BWô$òM9Jÿ;^Ÿú“qÀ¿â‹À[ôV'óg|àS¿#W¹¿Æ—¾…®èñ‚]à{n¬s4?<³î‘Ÿ\‡ÿ±7‘óØê/ä˜ëu;À¯ÐMy _Üä©ÜoiqLîS.!׌¯Û÷Ô7ó…ïÑïدÐ>OØ·’“ÀÌC½ÿŒù#CÆíÜÓÂ/ùûq¿«Þœ¬cÖ)ôœûó'zþ·Å‘[¾gÑοGê{?Y§à»= ý;“yCÿâOåU¡;ôF_s |[}#xE^¯ÐþçyôðØû5=z½ÓÏ:JÙ‹ôOù¤^¼Ú×¥âëÀ͸ðõãÎÇ–÷d8ﺮõ ?³>¡wñ¥ÞïÍxÊMôjõãw,ø~yÉUìÃð'üÌ8Èe;gõ|ÉuÖ9úŸu\A¾Úy”ðò;ÙÎåï¬ÛË®w†ÏÁo=¯ÿE|èG«›¦]ò[ýr?뵞W>|ÒïÃÎ×Ú÷ŒçyøŸëпðå¹'}¯9t¼BK}¾Ë¶Ïòb¿_þ7ý£//w:nyy|½Ã-=¦üBŽÚùùè7é üÐCy¼Ì9Œ]<÷ud½¦Î3EÞÇŸ;u®„ë…umç¹b/?àšòýcÞÞ_výhû«¿v;ÛÎ_„žOûü´3ÍOüÚïsßìv`ý^ïxä½'î¿jý/ó¬uÎw¥êL}[5|L›u'¿#¯áÓÂ#õ‹ŠÂ÷ÈGð'3Oäûq_Ïö}ŒŒ£ýyÆuø{I½€´ý‡èyæ _üºÿu_§öý…ð!ý³®¤û+è¼~èÊ<ßvzÚ9êCàrý>Ô«5ÿ_„›öÃ>oìD¾K]õ¡Ø—Àòĸ—矊±›G¹¦¼ÆÞ@ÿ›ÿHèK{Ÿ<üÏuð˺eþ¬Ï“ßkû Áö·àÀ®µs™Ñ‡Èqà?ïô×:ý#èø´ÃyyˆÜýØù’若_î|áûªíRð œÀ ÝáwÆÑ®EÏ@/÷ŸoYøµØØ‘Ègæ?0OàGÀÇ’KàWß¡y‰~Ävžç¥KÂǤô„ü BwÖéË>_}·4v!ônƇ ?h7¹®á7íEž¯ù*ï|ÜéiçÀ`ÇÚù”Ø3ÚKѳVŸ= ~ßð=ë=„æûtµß²àÕÿ€¬ùë}ÎÌûzò| ¼àþÅ~…î\£ûŸ“ŸçàÃñ€Ïs4•Wç:ü¦} ÞßwøŠÏ#úEO2õ;ýÓ/r¹Šžà•6øÂŽðû5ô ë}Šœdý£§ô3Y—ð+øN®?üYrCý.9€þµs¡x—¿Éz†Á—v)øϬOÚÌóeçkÉÉË}¾ö…à‡ñ´_É÷YŸ.;•y£ÿ”Ç%/ofØ¡¢3÷i'#wY×ô>EnîxW½‹ôgüÃNW«ÃSn²žÑÊù‹ý>Ϲr_¢â½Èä¨ò~Ú±GÜ7z÷ò›çÁ#ö?óeý°ŽoÂŽÔù³À‹|¼¿×ýä›9çöWà…îÈaà„>Ð]û¾™ça—ÛÚ'q}Ã×;Ýí:ò»Öu$žãlö%vëã·²3/v<ÛwÉ OÏb|½O™þÁïØá´ï¤P®iDzn‘×Ø­ÀIÿÈÛ¢£òÐÑâÜÌ< Gc/zñˆñéøÁ7ëz"?¹~…çÐßz?ãÓ>?õ¦}ç-ó.¼n”Ç<½É¼‘¿gèô¹Î³nä8zº®ÿ¼Ìÿê:ðCOøJ9U/úþ¶ó/°cM~>èCúcÝÚ>Næ~F>2?í\ðYãÚ9¸ÀM}Ÿ!'åNô§¼‡?¹Žœ„‘WàQ|üØÍð v³í߇ÎÀçý/ûü/d^ÐßüTCÔÿô‹>SÏcÏÀŸâ?ìuó³‘ôúÔ>ðyÊ8Ø“öþ]ä.ó‘¿¡ë èx±ãÁ}†V¯yÞéor¸Ñ—Gм°-Ìúe}r½èιÇ:Gò?žYÇà—ùb/"·Ô£u]õÏ/;¼ä‹Á‡öã¼È]ð .~ñ¼óqÆ©´×õd¹ÊzE®"gÇÞ¶÷§¨ѯн\÷ße|â™èMô6v<ôE^BÇZW¾/RqÑ›çò ^äbÑÙÎQ~r?| }áWÚŒûŽçáû?¬y(o¡cñéÆõŒ®þ_EïCÈoÑ}Ë:†?é½b}à¯ZüO|õ¸?oö!÷Êuä!÷3ðœQ_BäôèŽÈúÁ®nþw•ï›·ú˺_v xCnZ¼ûr—óvNëÒ¾ï½ø±ó¿Éé‡^¾o_çÆò<ó>@ΩY§G๤ü‡ÑïØgØÍö]Ÿð+ô‡ïÁ'ô}¿Ò†Ž´¡ÿøº‚ä&ø?‹G¸Î÷¼ãÑösBGž‡ îcúå9å ø_¬#éI>\yqÖ?r?½®ëûÌk=S×,?—ëØçc¿.9|À|À«½G’çáïâCÙõôËzÒŽƒ”{žæ÷[<9L?Ø“ÛwÌ>†nØõj³þ¯€'éÈú@NJŽŽý~‹©'±SŸv|«.9…}áùªv~=r˜yÃÏ 7rºÆÕ>fÖ5ú•ö ð€ßhï—sé\|þëïÐëеð¯sNY—ÈEøŽuå¹æ­ÿeñ¡è>¹»Yç?ïü,úÃاgà ¾×¹ÊO÷ùUÿ'“uäº.:oуÌ;}È<‘ƒèAôbÁ­÷JÜz)óf}Cè[mÅsÐÓ²3ë~½Gûz·Õ?ø/~óûF%ϯw>ðýžVXðnëyøRü ½‘§Œ¼f}£Y‡ÈµÙÓÈCð üuÝâÖð/ô<ïãË?.üêÿ•~íø—~Ôã…o¿|Ÿ‰oä%t­õú+|Zm½O¶èˆÞ”¿‹½ œ\gýcWžUŠÜ…ÏX'ÖU²ÏÎó/¥·?w¼Û÷Vb7øF#Ÿáçyª|'üÏz¬ùo´¹†YŸØ!øž³.ú€wûCøüÃßØÓÀÍúüÜáèûiüÇ—çXoçþÃ;ÂËzoÚƒÜÏ:GnÈCðÿ2ïwàx‘‡ÌóiŸ§ÅI¡+ö+r½Æ3þ œz&pÃ7êcìå,x¯ù¸_[ò•ûwú[½íc肽ªú>è®y!äCÛÿ‹ü¥ ¿¹_ ‡yN¹œŠ[s?|ù<2oð‚/ì+óþ¿FûþÒ/à¾Qž¡ÿµŽ«ÿí_vù-ÿõiç<ÒFnÒ/tüØñ®s*Y7Ø«Ê'3oúEÞ"i#×™/øCnâGŠžð=ph3å(ü "‡Y—Èuàc2?ÿ÷¨g <ÊÓà~e]ƒñŸ^`ÞôûxѳÈYðý¸Ó­ç¯Óæ~æ ¿CGä:ôgV¿v®6ý`ù~RÕË"aÿB/å/t/ΟñYï;íœxä7ýƒ_è„Þ7¿ýsßÞߥ]5Ï‚_ç˜2Oø;J¾òüfÕuÃÇEWìP}o#ó}ßá´|8ò´Ö½âšµÞos?|ùºó³í'ÇÞD^a/Ê}Û騼dÍ“<ê¯Ì½L}¢~Eþ`[<ü3.xæùš·Î-Ež³þáÛâSùëÀ¡>GÎ"Y·àùeïßüið‡*½IÿÐK{šù¾O¤;ò°Ö-ïV½1òý°ó©àd¾o;=í» ´ŸÁ+ð#§¹^øÝÀÇâú…¯Á+úþdþà•ëèQúE¾Â§Àç:Âä;MMÏb"ß:ÂϬô©g >Y§Èÿ«½­¼fáYùsàf½?r 9`œØâƒðvªÎ/D>`‡ÊÎGž¿`ݳ¾—ùÃÇàñ¼ã×Î/†/Y÷¬ó’“ÊS ¯&¯ÔËf??‚/ø¯7ò~†ÞÈIô)úyÊ|Ïh#?¡;ýs?ðÒf="‘GèoàT -õ‘òø¡7ëµÖ¯êdÁ?p¨§ž‡þ—À3øïâ3ôªâáà¹~âüÏûøVw‰ü`Zžùù¼ƒç‹ýyË'‚_ÆG.³.ñÿ‘¿¬í ä™u*î+–øú zC9Yë×êÄ“øÁN×{n'øG¹àgû>v®³ëšç ÎOàKù½±Ãÿºä(|;Agä:븙÷+ðç<áOðZë”ú­½·]ïÓ…nÐW|ZtÔ~íð = »üpä2óÆÞŸgÀ…]hù:ãô‹¾¼‘‹¬+çý¶Ï×òUê_èËú|ÜñkqOøúƒgè‰}„^–<„ï‹oO.å3ü~¶÷„ÿØ;ò7ã©W·ðŒœ×{mÿ²ú¯~© dþŠï ¿-þ ßÓ]¿#^Á'ëõƒ}iï9†ÎÀ~Öó̹„]©}¿¬oì}èß©/Ð~Ùá´ïPQ.(ÿ¡7zø¼ëmóÛч\þ‚yä>g‹s²n°/MþÖúñüNð(ù'²._wà¾ØûÕûY§ð?ø~ÉGä'ý7z>ñüFó·Á=¯óKkþÇÐO9 œ—°§?v<ŠÁç3øòxè.:òøÈ8´¾ó>Fo¡'EGæɺdþÐùÍ<‹Þ’oÌÓÞ»ËóÈGàeÝ¢Yçs§»}‡#ü ¿^<ÏUq~Ö'ø„î5¾ê8éúÅÞ–¼C~ôœÄ‡N;Gx‹ÿ­ž¾V<8-Î|yþ¸ËW‹‹^à9ô¼Å…¿@Gîg½>ìòYùþ¢ïzUçŸ)Ïé—u̺„άwæ%^´7ºN?ÚÛÜ_ü ü¿¥žÁøð rgçÑÛyµ¬7Ö¯íwGBOÖ3pöq%7 ýdªò±è_úÇEob?)—Áö®âgòöŠç'Û{€‘×àøi3Ö3p>>ä‘çn[ý!v,pcŸ9OðËzå~ð[tä}”zú3ß+Ìÿqdzø–uˆýzµË篺1øÍóHõþößvyb½¹Öå3Öûå¯Éeð‹Ý¿¢èÌ|X‡¢#ó¿ØûW|ú£¿´7¹ÿqŸŸúöÄq±¯ÑŸ¬?õtáÇó[-/ÌúNü õ|-;8Ì—xžˆuDžo«<÷ãŽg{o-ë}MüÃÕïñÛŽ×-ò}µsÅ¥_èÎ<Á+Ïa×ÛþÅ'ðë×ê1?ö~Íï¾ÀúÏ-ÎÈ:E>"™÷yçg× ÑQï/-z¨ÿÅ×à:Bž‡O?Ñ?øþÀóÕfÛwú°.Eæϸx¼W[çç"w‘Ø!žo*û9OݲÅWûc×¾?ü¾îó•¼g^ñ­¾ûÈëÕ¯ÖëÎýÚâKìEè^Ï+>^ü,zò|{·ú2Oä3ö/v+p"Ñ»Øçðö$üHÿØ©à}âó¬;ç¹b>YûÉŸA?ô°Ù[¬;óå’Ç/û¼üžAûŽµÈ×ãxî¨üô¼Æg€w½Çµàßþ¯uº3Ö¡}×sÝoñCìÇ·}|­Ï’ç²ãÑóÀÍóècä?ü~þüŒ žáKÖýÇίÒ÷¬×«þš/íêŸïBÇ¿ñnsZëÙ¾Ó—u_Á«}ƒ;ž­®õ|Éú…δY‡Ø•—;Ým¿0ü¥b]Ê®†žÀÇzÖ÷zÿá?Æ— Ÿ°n ïÈá+ЗužEþr?| _^‚oŸ÷uÈwßø?Eï¯Î#c=x>·Ö-üŒ¼„Of?_*Ïó¯;‡o³ÀÍ~v«×¥Íú~æ ~á_àÓNdÍŸ:Vé[úg>¬ߧ«õ[||Œ\A¯ë=̬køKýÏü™oÑ[ßó¥þ;}W¯ç±›å¿¾¿„ŽðëÛÎ?Úã÷Ä;úñò8±áoäû…Œ<…NØž±sÃí¼Ý#ø ûVøD/>ïø¶÷é#—äSèŠ<О@Ûy…ǯ¶ïœ6òþ¼ó§Ö/×Гö}…èiæ |ðá‰xfÞµU‡Áó²oY¿;}<¿ÖÖ÷ìLÖëÁý¢V÷ÎuƽÜélßµ Ü„᫬³žÍóÐùœéxù¿Ü_Ç:?x¸nçH>,;–ç¡ðh¯BGåwY§Ð¿Rû¡+tD?£ï‘»¬å÷×Þ¯â·àù¨çiŸwº(ßm½`Çøþ ó¦w¹O;Ày¨¯‘o± íœ,ìSøYû±ëyÕ³ ß­~ümǧìÞ’Ê÷¿ú^ìt{¿4rø¹:ï๠œ¯{[ûKäïj+þ¾¤;òuXpó=çvŽ5ãÒ?ëõºÔw-².ÿýû´ÏÛâÂ;¼z,úAûúi_?î·¶z è¯|Íì]ð{x¾g¾ïx1j~9|‹<‡þðëÃNoÅ7öõ.;€u);{x”‡à±ð®:èÏ~.ù\üù²Ãá¾Zí ?ˆWÕ=ó<ëB=ˆ<¿ZÏà“û”?¬S“s®Sð[ëUë~ž°'_w:ŠY—\Ç?r]Òoµõ]šÈíÂ7pcí¼÷É+Þ~ÞÛ²[/„¾Ø‰ûüùN@‹oco^ív²ê-é= œðö•ç|Û÷²N¹O»z¸Î?w<øž÷)KƒgÆ}Ãzä~ø?Äï7Ö9¤×²®‘ïð-ý¢—ßöë’÷àgƃ9üÛ>®/Xëò.üŒ|fÞuç•—F. ­î™u_ëÑìõˆz 9hß9‰}ø ;±Æßþë~Ýø<¢×Ï;ü¶L= ý\§Œ‹üd\ð^ó´ºâ¢£ø»èÉwEªÿZÇŠ7ü ~ñ£«­÷Ù^‘×f¯ÓÂ?$çy„ø¯òc¡ûè£ýÌzD#§‹þ:/~Eß"oáä´Ö7x|Æü¾ýÚélßüØ—à9ÞÑ¿Ìøv¾µs€/w¾1->.ô¢ê+Ïö^zä%ý2/ðá>ìAí«¼¼ÅÏÂ?ú˜ë;ÿG4»>ô÷X²®°£åo—þW½é_×8؋ءúþ@èÏ|¡ö±âàXÏ#Ç‘§à9 ßiO³~ÑËÚõ¯¾O½úºÃ «æ#YÇôÿ¿Ö<‹¯%§¹NÒ9 GÚŶ9 Üà¹9@Çê×¾÷Ÿù£/Ѓvn&òúp¢¯Á7ry[pÊ΄ŽÇ}^î‹´ý‰à8‘ó\GŽr>ŸèKÖ=xDÎc¿–ÞY=ºìxæÿ¾ÏÇ÷™ë½³Sô}Éå#Ö¡­çê_ö÷çNOû^RðËsÒõeïßÖ-ãƒGÖ7ðÓ/ö#-Ö³ÕÁ¯ö¾É¢«Î¥ÿëZŸà;xkžì%ÏËw³Û{ñY‡»]nzør‡ÓôòØñ¥ÞU|ÿÅñµïû½(»ù*»} «-û€u¡^ð\gä«âœÌú?ív¬üyè\ã3.p3>z»z_îôU]0ëùÍ}£kÉGâ<žjñ`ÆßW~ÿëyÖ7pÁ·âWÖýóζÿ•u£Ÿ ¡½ˆ…Þ\Ç^ìaÚ5>u¬¬gí—e~Øaž“­ýfø;~Çè1t¬yøŸ[àC~JÒ?ü Ÿwx%?¹ŽÝ ]i±.­îÿ xd}ÃßÐñ}ßαïôü¬cÅÀ»öM¡?í¶}¾ôÏz„_´g‹?õ=Éèaà†ÿÑ Âœƒ¿üž\Éù–õË:}€OÓ«—À3|‹Š<‡o«ÿ;àUøGƒGð[rÀ|¹éí’ë·Y¬kø|Bù¼‚Ç×ÝŽ•Õû9wøU¯[ýªIº2OÚܾ;þí;K¡'úgúº‚ô…ûzÎ=ó­þOœ;%Çá_ÆEž²Þ±Ë¡ úVûk¾²Ã‘GÈGù§_€}ý±·%™'÷çÏ;ŸÛ9èØ·´™'ò|y¸Îk†oY·ÈCð ÿ³^ÑÿÜOÿ¬søz2ì`ø&v®ò™ÏÀ+ò>D_ãG—ŒË<«_òÚý䎬ã}žØÇòס#r–q›õ[óÖþfè žï¢áKàfìsÕh²^áÇGÐ8àGÙ­\¿}‘›È[𧾇èC;÷¾gÝ3_ø÷øGo^ìÏÛûd‘“‡ïúŽì]­Wä÷û~¿½OJ½Z|+9‹=ˆüe}çÐ>‚ŽZÇðóø’6òO«wFŽbŸw>–Ÿ <_àÍ÷©JÂÇ\gžèEÖrÇóDõ Ì¼ùÞg}¿7ò°æ+|ƒÇâcê3ág+ ?¾ ~¡;ý‚Oø}ÞÁ#ú—ëô‹üE#ÿXçÀ‹¼–]€\ò½rÆûíêÏ‘…žÚ ÜO;¿J^¼|_´êêÑË¿/ü¼ÄÅïõ<õ‚²çácøþGD^Zþ=~…õˆ^Eòf½³Áëë—|iëyŽ}¼·÷1O;בþ‘Ã_;žUXëPë·ødu9úŸê—õ ?Ò/ëK~¬¶â¾ÿm=ÞñiûWŸö–ûÿ\oúaÆyÁÿ1öžzùÜð1t~ßáÙþÏ9µïÖÄ>}ÛùWý²^ß0oÖ%ò—~‹ž¦—›ªSÁ.·8ÿ×>oéc®3î׎ôžß«}»Õ¿ê^ÏgRÎà? ^𠳞‹ÞŠƒœÛ¿ïúSydäâ'äà5ô rÒâ„û¸âCà†~Ú×؉Пu‡^´zgÖöª}—.ò•õYx'~«}ÕÐó ó…ß™/ôÐľ…þà:c¯¢Ç¹†üµ÷—ƒWðÌøÈ=ýJè _Ÿñœzšñ¡/ü~ØíMü:Ï·÷à2oäæðz±çw±Û{;ÐÒNƇŽð+ëz·uÿ;ýk\æÏ:„žÅ—V¿¼†ŸÀ¿åÁ?ëþg#w¯öu¯8ãaǧìÅGŒüt‡á ä¸ðÿ¹ëoûƒ(;ù ü_à_æYx<Ü5í³†þÈWà¿èkô4üÍüà{æɸo»ü<‘¿Ð‹w»:/¼Â×ÈGÆ?ì÷k¿rÒÞ ³®°'í¼YæYòøÍÏD‚wìòš/çwsqÐßöÝ¿ð=ð^©·DߊÿŸw~´}ôôËüПFä%|Êuú‡oß0_ø9ÈxÈãŸvžåå¾.ï‡ð7ü^ëSužà½ªzØâ_ùºó£üÝғʳָöžÁð9ôD_r?ôQ(°C-^Œ|‡Ž˜7ôB?Z]€÷ƒ××/ûîV;?H;ý¹\¾Ás"·ÿþ^ÖkÍ—ñ­²è«÷9§à¹Ïõ—}ê}±Ìÿ°ÓÓÎá‡ßÁ+ë»æ©uÂ<|oªô6ëü}ºßœçëšïƒðRÅÿ/ëœþ± ·Ö?ÿZ~;óF¯W?û?·²?áÛO\¯Ðy¬ý­%G-¾ þ´yN|`ßÛû(ÐÚû’çXã©GáwÖ?zD»•6ëýøyÏÂã󾞵~°§•Ï®þµŸý¼Ï_z–y£Oá#×|®¼>p9oÆ=ìó•üANÊ>g=焆þÅož÷oçª7ëy ”ÇÈÇ7ÈIú…?Yï—Xß\G¿£7ëyíAþÊ.®ëŠGƒÏ‡}]ʯŸûø²£Ð§&O ~ßs«ï#Å^¦ä#ëC>NîÃ^²®ôyˆ^Dr?ô‡®ð'ð^¯6~ë¿B~¢'ÑÇ×;Ýí{¼´K¡7z{Ýè ÿ"¯ÁãüHûaçGùíÐx‘Ûð#zøÔ…ç»èGø›ë/û¼¬‡Ä/T>žõ ? o->V¿¿ò|áÏï|BOì@äïï‹ÿYoè]ùmê÷Ͻ¥¿¬ºÃ¿A¿¾ï|ißÅÊýÐüÏUgþG“£×»Ègìå'óïÇï²y{>¯Èûâä¦ö%ò<ö$üËz³+Y§\Ó/äùWò8Yè§Ç§]jçÜ"‡ëùí¿ïxU^Žu¯<&tnäÛ®awŠoáô£öE#Ÿ‘Ç/;]Uÿ_p²o¸á¯Œ½Ázò,|“OÖ÷Ÿ‚gÖ+ü Ü×»ý,ûðkosþ²êÑËgØ‹È õ-ëšybÏb¯3oø<×uû^fä-ý²NàW­誸,ëy9öõ¨u|¬wÕõ~îø•^PsÍŸ<ƒçë ÏÈIômìAøyϼÿsçcÙãðöúUùõŸ÷iê½Þ%g?ü¡Ü?BηŒ[rUö2v$ëý‹Än‡_'ÖýxNªè=qM¹¢9wúJÏ°^<ÏÈ÷9Û9¦Ì=ZëR|þ'Ðÿ <Ÿr¿øöîóÎ×’ÓŒ ¼¬ô®ú/:‹®È1ùû²àÔ9¨ÌC½Šœnøøó~ÚùÓäp˜çµ}ÄÀ{¹Ã㹃²7¿v¸u>óqÇã/áwãgð ?Â?öËüá_î/zê\ûââ/ 7ø/¼’·±îTuÓØùÀ¿YøTüK8l×|U—}XôVüºWÿ·é—õŽ¬ûåï²¾ÁçØñ®õ ž¡3ð¢kÝj=ÍþÇndÞÀϺ‡ÏË®¼¬oÖ=ò}‹?œæyàf½agþZ|M|PqBøþF¿Aoæiÿgœ{©ó‰÷ØÓÄ#ï>ïxç¼p;×”u ÿ3ü+>„Þo;xºÞ'œØu]ûA±'ЗÆÇ5oÙ!¬G¾ÕÎCF~!WµŸ6væÅÎçŠ3ïÃ>ñ%ë‘õ‹ÜNÖáÕ~]ùZè ¿a'KÃØ·s§£ìEì}ô/øEî×óÈIùÍOû:Ô¼À·½ß•õ œ¬kä$|Œ|-:Û÷á`WX/àûwÍÿÌüsç/puÉ:¯þu®øõ¿}&ãs?ë·žÇÿU¼8Á/ý#'ßõ´âòã ÿÀØ׫ê©è_ñ`äŠö/z?C|"·°7^è§]Éú/ÌÏï!qß²åk¡#ãü·áOä8r½ÚòWÑÇÕ¯ìÅš—çr뽌]ë8x^ïU’Þŧð…û˜u.á5ø’q‘£;}mÿ,xþû’Õ¯ì1ýhàeƒWèH?àË:÷à ÿÌû‘u[ðëûµ”çèEè‚]N}¬üeÖ9ð#?±§Á+tF¯ž9wx·ÈYø|Â÷à{ß´°G¬1Oá÷JnÁ/ü}þX¾×Wvzý \¯ùê½Ø5.ÿ¯SöêõNOÙùÈièÌüÑÛŒ£žeÜ7ÈÓj_Ïà“õŽü†þŒÏüáGøyý¹þ¾¯Wéä)ø¥Ö#ó~Üׯ þD³>¡ëåÞ¿Õ«Ò?ü ~ŸwÀ·ìàº.¿¾üØ穼t…ßUßßë\Ò«ÝnTøïk\ðÿ¹ëCÇ}Þ׳òØÕ¢'ý!Ÿeoóüv:üÉ:EO¯î‡¯‘¯¬ã‚SùEúï´™oÁ¯82úû>Çî…ŸY‡ÐŸuˆ<ü¼Ÿï5Ü¢/€Së²ð¬ï¬û•Ï¯–ûíû¸?vz‹™ÿûÞŸïßÕûÙÔ'ŒkçT‡Ÿ»¼ó»šÌCZܸ´Ÿ|·å;¹N9Iy„”\¯Ìù_ëRqlÖ)ò>/ùåÿo´ó‘“ÐýYxT]0ÏÃßØK®{ð ~Y×ð!ò~g|ä*㢑Çÿµðœ†/¤;óežÐ½èå÷æø”¿d>¬WÕobŸù=¨èMéCÖ/÷Ÿ1ï÷]žø^Ï”/~ñ|z‹Ó²Þûú?³þ“õXüÉþ$õ»á“瑳ð/úî~¢ì[ðÀº•ZzÀu-;¸‘ÿ¿-9ƒÝáûhU§‹žgžu]ÿ;~„Ÿ9Ž~;íûÆÿÀ…=)½ÊýÀ¯Ð¹úº?B®sŸë} ¾°Ï¤¯G^ø”Üo»Wzȿн}Þáßþï}ýÛ¾xÖ3óå9ìS;_F=^dþи‹îª/“¯‹ŽòKkÚ:CŸêû°_÷qm??p¢w¾‡žèSø<_b\ð¾‘ï¬gžg½~•WÓNÐO€žŠw|J®².¡ÿ'®÷ÜùØÎ?ÂÞTž|^íðy]ö%t¯–ûýÜGÏ9\îß¿ÿ¹¼ðüû¾÷kë¸u~mÁ»á9í'ß“)yŒœç~ìVðÝ|0OÛß ÜÇýy«+D~³~Лê·øžý~ºìÆZ÷ZÏث؋èô½ìSä-x­çÍ^ÒF.ÖºTþ÷rñ ú»kò¾SCwÚ/÷ù×¾o¸ÆW8ÜWà÷#ª>~F®>Þâ/ÏIe]Êž†ßYܽŠ\ÑÞ}ÛÛÊc#'±?¡?r<Ó¾Æü°g5ïZǪ÷ÅnÅŸB¾ÚwÁÓïËη’»è{ø¾Ã~r?¢ø½ž¿#ŸhBWä-p"¯‘Ëô§Ý\ó%Þnû8±ƒGýÎóð3p³Y—Ðyÿ7ë=¤Ï8êwøµè«sYÏu?ßiiïÝÀ>ßqÝìÞÇîöžEø9‚ܵ¶ös2è^mÕ8_à‡ÿ°þ?÷õkïPN³YÇð-r~f'ðƒ_ä"pÓÂN´s̱3ÿ°ã×ÞK~ÜéoÿyK~BGä˜zyÊóèï×ú{Ö*ï„~·÷;rýôdcÒëžõŠ\F_2>ôÆo„àð繋VW œÌÿ~æ~Ö/ü‡Ü´ï Ã~W|>¢më½ùµãWzº?ê{'¡ûþ¾­¾u[㊾Ü_ã+Ž ¼ÅgÖ»ŠÚËècø™þáÓšïFy€_¾´óý¾‡‘‹à½ÆU¾½ˆ|D‚_žSosM{{³ø™¼½¾;Í÷Ã}y¾àVþ³à×÷U²®‘3èë̵?:Ö|e¿3þ#øú}§·§ ³ûz¼Ë:‡ŽÜýá_äö…uÞöÓô_ô†_ñ£EGð _?rºúENj½B?ì`Û¯¢œdÈIùÏà·æ¿;ܧ©ûá3ÚZŸèGZØúûŠÇ°ní}мc‡ïó?ýê{e‘“Ðý†\ЯTþ“õ_ãxÞ¼Ö1ò°Ö¥þ?/ëº2ä¢üKøÿ{= ?]•w…ÎÈyèŒ<}_!GüŽ&ý]ôé ô·ïÕ¤ }÷zçýåÁê7íû¿YçÈAäö| ½¸‘ Ø…ª§^Ö)ýu¾ëÇÎïÀ«ÿ1É|YÈ{³c”Ïð5ýBï«ìUÖ9|ù´ëqí£„ŽW;Ÿy>‰~•ÿ¯RóG.¿—ùBGúÿÚñ«x$z½†ü¶÷33ô˜ßñkv-p–¼´ý¶ÈË]>j)§ßwx·Ð—u þw¸|Ï»Õ{£çÐë‚›6|ø¸ÓÁs¬­nŸu£>GÞ`7þZôÑ>Ôù“ðõÜáÅžÕÿ8e}?žðñãßaa ìvà†Y¿¯6|ü¯¶Þsü÷]ßùý‹ÚwÀú´÷[‚ïä=ú™õyØ[îÏð\÷_ßeŸ¨Å9ágàFž!ÿô³í»ÐãòG¡7z›6xF~ÃoÈgÅ1<Ò/zyL¿è]ú¯y«n}θÜ_CäªíOEÈIä8øƒ~žïç÷§ø>bêÀÉ_JþƒoìHèù¹Ããw†ÖzÿÀ }‘÷¬WÆî¯ß‚—6ò=¾yO°ö5¢¯ÿ¶Æ?ìóñû˱?õ}3ÚÙ´á[èŠ<¯Ç%'l±®|¿¯}ëü¸~°û•GE¾`šßÎz^æ]÷›]XÏó^f;'Kÿ”uÈüÇÎîßW>º}µ?üœ[äkݯõŒ½ÊºDÞ––ßþ¥§¼ƒOÆ->›­º{Ö…z~ÒN„ŸÁÏèOæ#ÞáCìèê_ßçýï°;´G™?ס/r|Û>ù±kòþ…»¬oÕÏ2O®wºê½¤˜?÷£ßYÇÈYø½ ܬOôëq§—û¨•·ý÷ϬÖw_ÿi·SöuúùyÞÛ’ÿ;¼ÊÓc·¢·¡+x§_äzVqTøyâ>~ûNéŠ^fþÌ:"g¹ÿøÇÿd¾Ð“ö'ôvvµ}‰öå ðŒý@[ã3oìVäõ«s8‘óèKðKËõ‹þr½rýŠÞGþ¢Wácð Ÿw>•^G¾‚_øýÉ:ô;÷qôǵ>Y¯Gà³ð­}‰èiZ¬CÉSäzÐâ—ð'÷Coøu }/Ñ/v(|¼Úéoïu…/Ñè}ÅCÁ[Öuë:·»ò÷Õþß«ßמö¿‹Ïõþà·}j¿:x{[óÞ»Ùí¬3ä–Ïo9]mÖ½Îã.¼y¾§Î ‡Î¬gîßð%züÒf"gàOá=©x÷×Áëø¼‚ìQѹMÿÌùÌúD>3>mø;”ñKƒðZxWÿÀ þ nòÞ’·ÈK觿‰þRÒ†°3|Ï‚û´Sm?5òyŒ;Å—Ì|/ë8™/x†¡?ðƒGìbøòz¿ß¾gý5>p¢×áé¿öÝê/ÄO®ûe÷‚Oäù%øº¢i#§ÿu—Ï–/FNÖ}Úì7¶ï{®–uÚZ‡ð7|ˆ~/xõý£ÐO½^×e7cGݽku‡èQøM;{øßv}àÿ:”Ÿýú_î|çûÿ|ŒïW—¼E^B_èy‹Š!Œ«jß|hýÂ÷%÷¬·ø0ׇçñ‡<Çšõ*{Nû‘ë<ܯÀ?r= ß³Žkžz(ëùˆ\Gβ.°Ÿ•_nàî‡ï…ô’ß·iyXìàKð#v%ë›ëô½Ó[ïF.0éIè £ßßöÞãëïfïƒ7ìE«Ç~Åz„Y÷ÈMìbžGObO—ïÀ'ó‚ïÅÌ 9lþŠò¾Æ>|ÙùÄïÏÑNWÝúÝæyÞñã÷¤m_•u´èaékø°øX㳞¡#òòuï_ðÒÿç§Þë ^¯qÙ—­s ~ùOÐoÐÕö#ÏÁrÆ}»vÞ úËï>´s>y}mç&×u}ß&òõ}^ñIèZxð;¨uŽ%ød\ìXàOÚyô×ï|¯Ø‡Ð9ÈøW;~íû K¿ª>|Ž}þöÝÅÌs@?Ó¦?Ö‘ûŸU¿&ýácÚÈõßV¿5þùü‰ïGÈô†çEêüìlÉcøI;} =áSàØ[ž‹.üŽÜ®ù*î}Þéiõˆ¬gìÅè‹|¥älÁ©ïÐ/ùoöqÁÍ÷þË?író6ò–qÀO×?ö#|‹¼Ò» yæwCÚ¹æ¬{ú…ÿßî÷+} ¾<îrÐêµ´g‘§Ðÿô~Û?x±›ÇNå§âºÌ=YzËïèž‘»u¿Õ¥2øÌ÷Q­þ]z~´÷p o–Ç·óƒ>E~)—‘ßû:1`~\xå:ësîmÅ1¡'|¦ž|ÚùWñÙ“çæ«ÞOûµî§~Tö:r~,<òþ_ÉMú^øý\tSÚw\Â×u¿Î—¬ùkÿ*rv‚Žà‘ù^îøT½4ô„Ÿ‘÷à›þ€³ú—ÿ K*¯^|©:pÖ‘ö#ð¡<×Þþß#-èkïßþãNOÓ¿¬cäø–¿ _"?¹žÿr˜ù0¾ä;xäù+´YŸ\G®ýu~”ë;Éïº~O» }åûùÎÓÛØËô]%?×xÆãô·íýjð‰õ°V/ ?ü[ýÞEN^ìøKïÛùÉÈÙÈgÆåyø¼Ò/ö rßüÏ‚ÿ×?îüäûÔ•ßf¯Ã¿»<ð=¼öþ%ô»ígÅNGŽ¢±Ç¡~º½§ö¸ÓÝü3æ-{yáû³å7²><£¿Ÿu ?zSë»èhïoe=ÓÒD/çлšuùˆñá[ðÿ¼ãQë:Â×èEô ëRuÒøêͺ®ï0DžžwþWÞø¼ÏC¿ÚôúžºG½O»ù!=åÃ×ð?ë»ä•û-Ïþ¹ó¹êøY‡\‡ÿ N{Ïøõ¾Ž|µ/\ø§žÓÎi¿¡ó•E¯ÿ¿ÿßÏÿ×qüŸÿÇÃ[ð¥þç ëšý‹´÷÷ÜÏ:î[´Wïç9æ§0<ߟ÷吝ý|Àá~ÿ[Ü'lŸð¼èÅ}îc“_éßÎÍ ô‘_ïØpŠÏK>kðžm<Ú÷÷ãÉ_ö'Ú: ~™ÿ¯‡N£{µMŽ·ø’ÖžƒòŸ×ăëðó¼ú—~ɼ\7[/ëÉiæ#>À‹×Æ—›ÐÅuåsÊGÓsÒsñ#|³s¥ÿ¸ÿ–-Ç-Ñì˜]güÃE:Aå‚ôµkÀ+‚ç&76³Ÿ€×ôpÍîÞxó›T~ü¼ß纙|š]'žÁö$ó½ÉsÌC»cü£_ >MÏ@'õúíŠ;ØŸãݘGýÔqÿšüœæ¡Ür½ÍžMòiü¯ÿ‰2¸ë~øYòCøÁð-^±uüëÜñoþ תB·ùA“K“_ÚGH?ðT?<Ì_ßsÍõ->c>ÃÛâR[Wµ‡èO;¤zÂy„þæOñÜäAñÇý)n"Í.³'Ÿ“WzBOùï¨ÿ¸Ö|\è|Ãû Wý è×ü<ô ÞS\¯uPö>Sœ_x¬ý2âÕô ø ]¶>S]ÄümÅ!À‹ôÑ_µxŸôbõ˜v—y ã Ë-þ1ùå¸æ§IϺþëanþ¢å%€[yÔÃ>žëoòNù~ÂsÃßòž©ÞkyùÀ8Õ╱ž,ôOù€ò×Ó¾ å–ûbÿ$㬎«ñèzþãMÿ4Î1º¤mð‰/æ5þÚ> í•éGËo@õÛâ$ËÇ­žú߬s—åüHž³cF§å”§)Înù/úÙ8êg‹Û0ïäW›ýÆüS½ÂôŽxR¿ŠOVGÖüm[GÌÃçc|Œù5ÏÇxµKè?ÉŸí»6=]mö4/Cÿòý¦}âÓêN2Þü½ÅM”§&/¤ûÜǵüFú[žÕô-ðyŸø¼u}^ñ+ŒwL_,_Ó¸yÀ×ì‡Õÿ&ÿcuتó¢Ë1O“sé?ÊÛÒÑìáñ9ñ‘yØŠŸ©ºNµu~ýè߬®jy¯íoØ>Jîǯ·|~€«û é·Z«'™Ÿý:ð(¸9 <Œ_.ž[]ÉÖSãwÌ?Çürj3ŽùM['Î{ìÏi÷¬Ž7ù—IO-ޘ꒖÷´üï? ÷êy³gäû´ßmu¿Iž®Æ¥f÷&xÕ?]{(O´·MÏüÛ¾×@—æ;yÎkÜo~Ià™<’?ÔS{nqë`o­óê¦ï&‡-n–~›úLËsÒ?ïëÈsÊ}«[âÚôäj}ïŸ9ÏqÿzŠ?x±Þùy¿Õ™q=åE­ŸàÛê˜èßø·Ú:_%ó[~eçè_X¿)Ojô¢å~õÕuÕxx›ÑûÀõ6ò›|œâf£“þÜ趸R÷!ήֱA'íÛ`<í ¯-.¿û¼Z÷"}‚ŸÅ;¶/cx›\µ¼–Ï…ƒO?hûB´'Sÿïà¾Æ#˜ÇôGíÿÕçÇÞš½kþý[ž'ó’~‹ÍNLñ›­ó”7Nz>ò‹pO³³V7 ]ºº_I|éG-ÿlxcß[ñ <Ò+÷[>†~Æ'úµVçÆ8Ëÿ©ïê÷8è6ýë*˜ßâb®—ÕL~4_Ç<gRžêúá?Ú²¯‚ïß0NWý3¼Œ¾Œæ'mý OÜ'=¼¾§ó}Õ‰懧¸Åê Œ³'9 ¿X?"o_&ûVu¸õsZÂmvŒt‹ŸÚ¾"àY¾L;Ûò\ô'_m?ÃäÙè±|0ýªŽÆy8ŽôOÏœÏÃÏ•_Ckv~ªï-¿7>Ûû~Æ'žë3ûC>‘Ÿm>ÐûUùàiþŒû-Ž"œÐ‰qÍÞžÓþ¿ùë—^G4ÿ†ñê÷9ðkýV[vŸø`<ýªá}u­^0ÅÓŒ¯(œÏΛMñ›Úm›GÆÛ¾Žå+-[çë4~<ï¯|ú÷Ó?çAÖwIQ¼Z?½~ ΔŒñ„Ü·s'ô¯Sÿ©eë¢ûlëšç§m=-^/»•ïçë­~ ¼Èïô§fœÍõN•tLùùé)o1}›âo‹m¼Õçš¿Á8õcç~ý„Öòy• ô£c¿[žo\s¼Õ3« üyΰÉï±³8ªñí\]„ ü,Φ_´}'“o‹¯Z|xìxk}x®Õ;4oøªoœã5Ï&gSÅâÚÇ|7Šþ ó’¿*ïh'ÿ7Å›Z×õÆQ¸6ú~|øêwý¾éG[OÌÏõ2½°qc=Àðýš_¡5¿¯õ2ÀµüŠëpuŸ+ýó}ÚÖ«4á|œ÷Øñ´÷ó ß©~2® é^×7Òñí½ËÐ ¼Ÿ÷ûöþÿW“xrŸRãuà=ÙsÒÛâÎwÞÇo’ƒIÿ[g]·¸mËñ|Šg®žßÖºäyÿ>ã|óÓ-ïÅüŒCó})Ú7‹“,®mýsør=È}Ÿú¼Íñ-^ß²­u™Ïâ6óo“ýžê¬–¿5ºAç´ïhël|°ùZœsqþçŸû|6Þìðç4»„ç¯ÞtNÂê¯Ó¾€­«íÏMûÄWãÒ{ÜŸÇâ)®+턾¯¶Æ³ž`õÆÏF××Yþ@;E{3æ3ëºåqÀÓâ›É/Ø:Mû6ÿµº&ñä}gó€3ÅóoQNm=,OiöÄÆáù”¿Ür_æ1û0ÉùÇ1®_×m¿c C÷_ŸúÔÖëÜç×|øØ[‹‡èšÿB?ÕƒažIî(¬Ãµý<\O~„yã–`œñõ‰ã×ê—æ?&¿Ûüè±yÊÞüÜëÄʯ|}ÕS4~@¾dõ¾ða>izaùsåKÀgÚiu/éÏy(m½A—ÅKÍÏs~ô¿ú]B“C£ËøiqE³?ùÇ1z[¾ <ËΓÌOûjó›}R*xXxª“\ÍWÔÿËMykÓw´SöÝâÙ«q·Ö¯y?tä9ðæºNø6û|ä¾é­å±Wí´ÕõtÂæ\³G¿™=!>¬CÐ~˜žr½ZOºï&ÿöóOqg³g§Œ'ÜýI'Æ3ï0ÿHûßäëÇýï:›>þi|ev›yï”è9gŒ·:¯ùù–ooŒW?vÜ¿oþYãÐK;¤ñ àköÕêh\òõ†~-ž¸*ßÄÿÜñ›ìlËgŸiÿ¸Ù©s§×â6Ë¿Íž×øO{]ûªüMþyò‡Üß$^´Ç“]3¿Ðò¹~ÂýʳÐßèÅ8Í»_³WV(ýÅÿNþ`Ê—¦úµñÙâ3Ëc'{nq.õßüò´þ&6ÿdß,ß ž”g;opù»¸oq–úÜùþ™åìϼÃÖ‹ö~ªµñègߣ³q­î‰ñMÏпÕ{Öý«ùBÑO|Ðj,p¦:sÙÓàkõ—€oqÉ}ó·ÖžÒ|<·õoq›Àì´ÆÙ¼žà®–õWÚ3«×pÜÏXx¾]ïO5yü-nùÓóXÔ­¯æ?ï”ñ¸nz!ø©=;÷k‡VýÓ¹Ó7ÕõŸê?p¿ôÿÃ~ž6vÔêz¯S.Mnó]5Û÷T»zZžŒûÓ¾“ÅÑÍ/‚nËo9/ãÆįßáî[ÞcyA‹ãpmvæj|¸AóäuMdúj~‡t2¯h|œ‡Îq\³K€?ÕU®r½žóÿ‡m_†ßwkv×Sý»Å‰gûÌ,n!½µõ“Öì8ÇSïl]lÝš_=*·è?í\Ç|ôk„ø ]\¿¦ÇhÍþ›¼Ù¹]ó{¬/]]Ï)îky&è79e|¨õCîO<'_[]ýÌ?šÜ¨ß<öçäÃT'5¹Òºój­ÊñŒ{&{Üô×7Þçxàaþ¨ÅIÀ›v»Éí±ßŸò Ó‹‹5Žº¸Dù6{Çù'}àº69忇Ã8Úþ¯¡ÅáhiÞà¾å‘ôí;,h©'Ÿ2ÞT=ü§¸D¿ï-p[=óØÇ·xtåþq<åâ‰ã¥Õ¸Y®§8£É¹Ð=ÕÙÌž7?qÓû„?NûSê_ÑÞ„®)ße;¦Ý¶u·xŒùBËS<:®®çW¹Ç8‹&{Èx¡åa‚§ÕG˜oMu«æÌgvÖì2ï›^Ùù¶VßÀs‹Ó5/œŠ·ÿfwÑòÁ¼Óâ;‡F`õ´wkòéá?®S/-ÿD¼ß”ÏZüD;Öò<Ò-øSŽL¾¨ÿfíü‰æC2žqf­ë¹÷köc½hçB‹¯üˆàey†Å¡w=fßZñêçð¼Õ¯Õk oÒ…ñü?Úƒ|O¾æYÿÿ3ÅSÓyÛŒ]–Ï6»xV'nz|-_5}ç{$-î^Í«·5{ŽþVgkurâwoàɺ­ùé«þTë8„gp¯ÅK¸¾¼b-èg3>©õæ8¡#牬ÎøYíáºfÜ¡ñœŒçóÇ/ÐCýŸâJæ;¬Gsß‹õ1ã“å©ÔÒ“ç·ÀÅsæ#O×â"Œc{ã¸sßôý¦u$~m}8-åøí—ýýh¡=Ð<x›½Õ<ã&=W¸Òßâòg¯ã>]”C‹O›8ÐýÈ_ÃòÞühèÆ<†·åùSžK{oü ^s¬þF;iyKËË/‹l _Â!ÿ§só-/$vqÄSÏçæúØû[¾kã,/&¾¤‹ëßì6ú7{:5NþÔ‡ÚÂý^˜¿â´¶ÎMÎé‡ëwû÷‚ÌŽš¿nò+÷-ÑïO¬ç¬K½“U¿u>1v¯Õ»ýš|ó<7»N¿ly2ýHã+îOñã2ò±éú›þ¾ý¼ê'p[Þ,ýT?ú+ã·ùᶂãÉÀûßÏý~Ëwdþv~p-/hqÌq¿µ÷ò->¢±ó–wMõÒÙì5èãúÔùÀŸÛ¾,èc|Û¾ëü€Ï´©þø¸6ÎúY²|ÄÖ‡ëlr«ï«à¹Ñ]ðVžev®ÙÐ5å¬4>€.ã£åg ïÕ¾á÷µ@‡ÙÙöý8´¯ûüôs÷”=ï×ä×»å=S{Þ¿¦_Ò¼mÕ!&|Ïû-׉rmñçtþÕú[«ç2Oà¿VçBËSš]•ù,²<Åâ[úIòÕê6­|yîËò&³¯Z'ú¾ÄËÚŒ;1ó×ÿ^`>“OÆ!–ŸØ8ÍÃÎýyÓWŒÓó¥OýðœäÆäb:ÿ5Å£“d˸¬ÅϘªß™ß›ò:Gû xÄðÛ¾Åêgv¿ùýsïovÈò{ÍóŽÅ+c^-óSß-ß0½5¼-/±xÞæ}³ì‚­{Ókô3{Hûq5o²ø“üÔýÁ“ûræÇ›Ýü‰ï!sŒoy¦ÐI<ùžåÝÞ"<Ö¯›ý^u ³¦G–7ØúLq"ãCÛßlñeðþ‡Œ“ñjÿdãe«KÒžq½èŸ[Ü)ð¹®/Lñ‡ÑÙüÔj¹Fü¸Þc½ý)Ov^êvìÏ[ü°ZÊÑ7iûŸ¶kàÅ~ªÇ>Þâê±úyÂã}¡Gë„?ô·ü¹ÑÁ~ÇN?ûëY¦—Œ#Í›žü‹Æw “òÄ<ËÞsÉÿ¾49À8‹ç$ï­^õuÿßWóCÓwǃ¯ÅÅO×ü)ðmö0xÚKÊ•æ/À¯à>ì÷5N ýi¿îß/´øN÷µŽßß×ü‘ô×­ñs=·ÿãkò øfG©×MÏßÄþœž÷"Þl1NŸƒNË ¦|”tNù€êgè:Êo>ßn|b^Éu ?óÿàñ°ÓI9·ºVóolÑŸu;«?)ÿØOè5¿Þö1?ýŠÅ!“} ÿàxêwÑ»â~â«~òÜÛF×q|å[¤“t¾ö}ö×À¯Å ‹þÖê8”ÍGOotʼSüF|-¿¦^Yühù"å…ñ9ñÐýÌ×øbô¢óäóþóÊKÐÏü³oR;‰¶å+€Óì¨ô3üˆOã/Æß0¾ñý-Îj~k £É#æ'\»O8·™>M~|¡|ZÞgvÚâ}­ž\ç'´´_ö~†Æ)˜§Å}g|5úÚyqö—–òir¥q6é]\?«GT¼|^›Ïô¢ùã>>Ê'âÖüu£ ÷-¯4ûdõÊ£Ÿjùèly!æ×ø?×B‡Íg~SåóXÎG¼ôÝŸ™jðïé;S\kzDüÚþ6ài½…xבò6Å/ä‹ñßì¦ÙßvRà7üB§Üop2Ñ!Ï[üsìý4]V/ ˆžC<ã“é}Ëßy ûrÞ.ôÑÎÒOPN›½ÄsãûäÿLž¦|ØÞûÔ}n¹¯úˆq&‡“}hõ"àO~[ÞiyñX÷A¿é½ŠÚGD?“;Ë£´~üÎûóp>ósv>Óê ÍŸ =c=ƒó†¾c˜ã§xÏôéêÿu6ÒqîýZþµ®ÿÙú£õ¥ü [ÐÙä×Ïï¡Z}¦É+úY¾qC¿æßÑR.u™wŠÇ­~evz²ÍþÊ}Ú§&çÀ‹yœW#^¦g–O™1{a~×Îë4<2.ý×õ ý¦õ1¹SÂ~ÁGà6{¿®§ý*®cèÒúð¶8Èìô˜ =VǹºÏjqšåE-~Ã}‹S¯Æɹœ«qùbøq½ÞfŸiݧ?·u3þ·:Ö zØf¡wÚo0º4^#}¸¯öv˜¯Ù«÷ÏôÆòÅÌ?~ïöÜû›\Y=v§ÙõÇý}°f¿^‹Gû¿À)úC7è³u¢ÿ6ºí»Rm½Ø¢¿í/Ø>§Åe–_XÆä²éæ3?lòcúOün›_ã;Ì7å¡­> ÷íýÔIŽšß>V3»`qämµåÇs <ì{N“höx™½·üx|oϧz—­ë¤ßôïS½Fë€C>Ø{_F¿é›É“ÙÆu¶˜·Å«ÀÇòËwO7?€ç&×fÚ9·Œ&/g~®w³ ¼|¸ŽV/S?+ø•®÷ëÌß4{¸Vç°ø¹áñ“ž×hIÇ-óåúù÷óš=2{£õ+à9ù®[ðf‹—užà;ÐöÕÿð|üŸ£ϛݖþSÜmvîñã~ÎSë…Äo˜ÇâË?­þÇïöë9È<ü4žãøá¹ÅßöÝ‚'<ŸÞ+Ôs6€OûÐä˜ýÏ”_h½ xjæ!,Ž±8ÍúÑOSάÎhqêX’þägä0üÓzƒÌǸÞò¶I-²zŠÅí­æ±øJã´áºÅíë:ßiåÿ’¦Íwßð9®'; z6ô3¹œâ|‹ï&üÛy(\·sÈœ—øaú/³/æßâÿb5ž“ç•Ï\įÉ/ð¶8ÖÖ‹õþ/’}·£Ù‰sŸÏâ¿Â ôr½é‡ª>ð°ÃiuÐipxÝòàcçÝ©ø¾Ç$ìWv5-èivô˜©=OY}ÂüæìOüV{¸”cýàkòßÖi sò?SÜnreû\W£ÓꦟƟ©NFý›â£ÏâG‹¯2ïMð4Æñ*×¹x“ÝmöÀè>í>à˜þkÞ&–Ïß9ÏçNòZãÖõó}<Ûzæxj”ø>í™ÇžâFò©Õ›WËïƒÑ~3î¡Ýjñî[=u²kZÿ<;Ïcq³ñ©ñKð§_¥Ÿ¾šG[Ü1ž#¤›í@·ÅM¤›tµøóÜVûÏ¡+ó x·u”y,³¼Úäc’/³ÅÞæ+|×¹®ਞðù±?§žZÝŽy#㽉n£×ì3¿bø5|@¿Ú»>öûcÞ‰ùMîZŠ~7Ò‡çÓÿ|˜<7¹ðÕüç”û«µ|Úð¤}0»`q$ñ4?hö©åe Çâ€VÏ=6yÅ}ͳAÉ!ãnÎC:m¿ØìªÅ•YÒàж¼ ϯžÓÔx\­óÔ:®ÿƒŒ]kuÌcvëdu±¶žoþÔê £~°¿à©ç3¿ýOÅém]ñ?æWéÌoÚ!®¯ë{GçýÖì™ÅÆÛO¤ßN{;Ïõ¼Æ™›òIó‡SþDþ·uÄóÉžLq•éu³ëúÍ÷ýÿGÿhü 8”Æ9Á‡ßG£Ý7¿‘ç7´ÄÇüg;mýûãÌ¿šŸeùÀ÷õ¿ƒ'ž7=]ç.ø|:ohñ ç»å¾Ð¾æ|å¡á+ó/FÅ­Wó”VÂx‹l>Í·WK95y0þ´:§ÌÃqO¯÷óµ^¤×fGuÿKè5ÿw5N³xÒò«É^Z?;?¡r”qh©7Á—ôX½ÌâÈÉ®h½ ó˜ÝfJýh~Yà´¸àØáš½£žMñÓãdüãëûߣ×øׄ[ß¿—þv>‚u²IïZþ˜~+Næ¹ú5‹›U®€?ãÉÀµºýÕ<×ôø†k­Ó¡ŸÅ´_J?®-²xÊôˆúCûkñ¹Ù¡¦?BG³ï€Óê©Äý[}Cæ·øËüï[}€z:ù÷å¯ÕeÐ^Í;¦ç¬›Ú{—öÝ«{N~ÐꉖÇLõÓ«ûŸc†ù¹n†gÓÌoúExÍNqÞã>WåŠ÷mÝ÷†ûæ‡F{!øYÝÖêãôcVköó7}–ù‡êþíq_òÙÞß·úgèÓÿ³D[ö ýZ ¸–•þƒÕÂ=eú¿}ÿZ|Fz^ßÏG-Þ±¸ØôáOó¢V¯ÁüÓzÓ?ë÷ÐuÁ?¦ð—S~GûkÊá‘/­?æ1zn«5û͸Òâ¼/‹ëh—h'ŸÙûmoÀÓâÄiUÎ@Çd&BüÍN›¿›ü4×S¿»:ÍÏ™»¶ý©ÀÃýÆôceùåÕ<âé”þÄOúëŒkËWÚ÷Öu‹›…¾fW‡|µ8Kí­Ý_×%gÏëý‰ÿŸæ‘”Ëè¤ÝPxègq—®/ð™æ1{or@{jqïU;Ñüñ<×ë÷)V«ûh§8ï‰ùìºf7Ùã±þhpŽ}œùe­Ka^ƯöHM?Êu«+{»fÞÛâ•Õ¾Yÿ‹ô„ûæOÌîLù};׺ÍîŒuâqÜ¿NÿìûMövÊ÷'¹ÑøŸtã?ëÜìï¿Ø¿§gqʇMß;³ºJ‹gO»7ùxãýÕÒ¾´8ý[üEü€õÙè4{eï¡h}ϹnÓþÓ(7ègñ ë)&Ÿ\[¿Œ·ïæ’vÎÆôÅòÙf_sŸpNéG|@WókxnßK1=²ÿÙP;çSÝ:Gfrr5ïÕxðÜ[ÓŸ&oÀÇücÓÓõÞÓèφûô×–¶¸úÜŸë÷ðŽûã̯þéþÍXÂ8‹û§øÌιLqÐXW;îÓ¯y-æ1¸&Gæ׌>ÖA¬ŽË}ržjõvÁÏòx³#S|¦ù1è²÷-šÿÁ8³ܧ½\™GÏõœ÷¯§|‘ã¸^¶®Œ¯-/¶øQófÞ?÷qZÜÄWë3S=O÷»Wkÿ£¥ú |>æ;SH8Í^ þ-?;÷qWóÚ±.ŒùZüF~Þ¿ëÝü8è4û2áÅõ·ødZ‡vµVw·ü„v«Õ§e|Ãç¼?^ý¤ÐkùªÅ)ö>ñ¤ý þ´|‚x’nynzUðsŸôrð™ì‰å3z}îxMúky›ÅW-9÷þvÿq½ÓÖ_æ3ÿE}U¹cüD:äþ[=xòߦ—Š÷ºnñZ³;PÞ-?ò®é; æ74áüÄ;ô­kû®¿Ö7äšñçÿ¿Žûã˜gÚ~àTW°uU»„û&7ªÇBgîsßÓô£ð$^Cü…^£¯ÙuÌÛøx™¿}ç‰ts^ÌG¹µº`Æ¿ÁóËqFàûx‹G(‡SžÙò}Ð×ôåØá¾Ç}“'óö~ý«å“ž™½nvÞð—vŠKiŸ´~ùk¥ô[æ¥ü[~5åÑ×üšÆ3«}ók?jñ_í§¡_Ë0Ÿéõ[üFV×=x÷Ÿ›ýœê6†—ɧ;f=¶å±Àƒñu»îp¦8´Åׂ÷X'Æ›<’Þö½gÐeþ²Å2¿áÑì,éÝ/ÀµÙY‹,¯Ÿø9Ú-Àµ<Óøñ§úBÿ©qø4Ÿ;÷ûWó}“Oú;Õ3ÀռǞ£my>û >Ó?4¸Óz6ýÂ<Ów¬¾D}¶|ËâAã7ñnqdúã~;ÿ¸ŸÑü}â?õë†'è˜ÎÇM~ìvì×fg,nb]’òø7öü­î$ý§u}|ÆuÚco-®µ¸‡ëôÿ^÷éO¦såWã4µCÇýñ„oç·'?c|£ü¯Voè¡žjÝ)ó®ö†kÍ—2ß:ÿ÷ø°Ïgò×ì¥ÐkúG½jß—=‡ëÕZ=º­7ðQ;Üßâž\#1¿¦u \[½ÈâsÓK“Ó)>¤~NçbÌÿ˜MqÉdß­¾Jþkü'ðUŸ9ß)-ñÁÿÆh\sì÷Çu\÷Û¹Uâ |ù¿fZgÀó©>Õüžk~€þ&gj…Î’k^¯–qõ{ŠwMo4_ ]hÛ9þŒ]–j= ×F¿åÓÌßÀÎY^Lþ[œÈþüŸjµÀ«O½Sœ8Ù'òÍòE[ïɶø`Àóéyµ˜×Î|”qÆ/ž?œäÞìÝ“Pz‹û”—¦/Fÿª—j]+óÚ<‚?ñ5{Ü쮿-/Aÿ7¸¶ÖâY‹ï›Ÿ!„cãäÚüê x>ì?飽A»mûXMo8ôŸòÚIò×â/[‹WOiü*xOþ‘­Å7ZB««s]ÔOá¾ùcåÇzR¿oøv@ýÅq¼ù«d~õ— §ÙQŒg?ûŸªfŸlÁGñ#=ëºíŸæó0Žd¼ÕìèT¿8FŸÃR|s?ñõÕ}jƽěñ°Ù{Ó§?ŽO@ŸåáÓyÆ3Wã2«sŽûŽ˜¯­;á€?àÙòIŒŸêÄÄ«ÕQжøt´ºÊ€ÉmËïðÜüñky àÑô÷u_ó«üƒƒñWíCÉ÷·ûÿWLþ?a\“oÁGãàczÎø‡vmÊ3þF|ñÜäp¬ûNÓ+ôcË÷“ÕžÏé{”ŸáþOp]YŸivùØû[N8ÔC³?\·f0ï$¿ZÏXßy½šWš<½ý¹Ã±x¾ê˜§É𱸽é³Ðq5¯ì‘Ö/ÐOãJàÙô=ÏW«y³ÀM|M¾“.æÕWó1óÇ£žáz²oÔç¡ËIß0OŃ úfu®¦¯Bí õÂôÞüe[GÀ›ê°¿59cÿàI:m<úMú©q­à|ì{Bí0К32¹nq2áŽI>'=·º¬åMO¿Ç/{=oŠ³š½=÷q.íœá«ù.3—y¬D½Ö|Gð²ü ù½µŸdvÄê*ú¿[§qð²<×âË›Ÿ;öÖìL‹§ñ¼ñçØŸ×õ럖ï¨<Èuñ!õoà©õÝŒËóóþµÍ_pñ?¾-¾`âþc\„þïvìýÞòÿc2ÐûöåÎO‹Óéw&ûÜâ.àiúøþÃnMîZ»è0ûÐäŸp?å¶Õµûã¦úpÓ7à;å5grsUžŒWÇ3Ž2û­ò`xIžD;içzµÎú×Î7=šà{?ýîÕ4ŸÀ±üm‚C¹³|ÖÖÅüýKÁǼ-.Äó)îµuP:­åü¸nõGÌ«qùpßê.ïpþ¸â2™W¿ž~OûîjÞôÐÖÉâMõ+€;åᦿæo´~@<@çäGÒ¾Yq«7¬þ–2Ÿ±ó§M_IûåúüýsÍ£ïqý‹»5C³Ã&—ýªŒkùˆàUô¢NRúú žík´¸åÓž?Y>0ÖŸŒ.ÜoõcõÊ…ñEónÌcç/n˜_í:ú1³ujñâjWhÝáDâƒùÉ/Í9úOy~ì\¾cžÿ#f¿Àeœ8ÅßS|ÐÖ õ£«å÷ßñý²ã~³û–gY]Bã/ö[íô³øÝä´àHÿQñÜÖËêÔ—ò{‚‡ÙúQÆc=Dð˜ì+ù=ÉaËoÞ—“ßÇ°ÕøKð7¾êõç=¯kv­ùÊÍ“ôkç>1Ÿñ-øÚÿWÓjýóS?5^¼–ï’¡Ãòíæw†þS]PóEgþÂÎcÒ©\àzò[lmž÷xÞêè?ñg<Ÿ(ýZ„ùkÞ¥gö}æÄ‹r1Ö—H?Æ_–w\OòÝôYð5dz{U¦8Öâˆ'ôÓs‰y.øLþ·ñ pó|üÞñ0ß÷;¯õÓ¼iÝ''W~ü¼®W¼iu’&÷ì‡y¨—Í/2x7;K|V?ûþvË“Á‹¦|nª{Y¥v^ð³úYóO×ê9Z/ú°ïï™·8Šxã>ù¤çh‰ÿ±ÓK=n÷ ‡tn»Î¼„ƒþ<Ç`òúo~ZOáýãþxú-ÚeówíúÜï3ß$<ËïˆÏ ý[~}ìý-_$}ÍŸq\úá¹ÕC®ÚëÄ-îžZ¯½¶î7«KkzEþµúžOõE‹/¸Þx~õ¾æ¸æøvþHú·yVÛò à™~?á¹úÙÕê¹ôoÕ¢ßhçG‹—ÎýÚöÁèoL.ÍîMùšúÅã÷ãMO8?÷ŸXüÕú_<×u=ï÷›êXœÃù«_üÎäLŸÛú¯©ß¤*7€cõæõê7×uøAü§s;é~v^ÉèåùÀ¶¾2nÒ“Â ôLyÐ_Z>kuÒfÿqM;kuñÿcžV#}¼Ïx4¿ÆöÜŸ7¹±×é >¾ÿmòiúX~Næ×z7àqþ)7}кܱãÑÎÁß±~ º&¿gò¡óŽ|¶eGÐâëT§á:¶8ø“?-ŸÄüù¾\ÎùQÌžÛ~Ðô]܉ï“ìûù-ž;ïouj›x3î³8iÊKÇüÿüýýÉO¶|óLv“ýH·æטwÒ_Ê)íå©&/ö\ÿÇœô£Ûê´­¾¸Ó9‡òƒ‚—­§Ê…à;Õm³Å}O½Ó|YÚ)Ÿ˜ü]]çû§ñ›pð¼ÕNŒCkuäIϯæ9Ô#û¿§)ßnq_ðú;Nö^ý7æmòxã>Â0žñ锿Ð?4½zÀ}ÀùÓsÆÍîãºò<Œou-à¯úú¨‡Ì«¦¸f:kùIñ-ñ²À¡]¦!~–ŸYüly_³k Çò‡1®œ)¿1ûÄñ-o’ùÈGó#–¨Ý<7ñ$Üà‹y[ÿ÷ÿO©­;à››âqêë6ž×÷VÏ}¼ÙC®WÓ/Áw²_V_2½äÿ`Y<Ùâ`Ü·s¦Í¾âyÓ'Ò‡ûû>„ÙËø_ÖoÒñš÷þ¨gèßÎÁbüd×LÏ5ÿ"žr=}gÎìÏTg™ìRã;è™ìë4®Éǯç7â ¸”»?åã5³¯f?ï&ýÔn¾½‡H>r_ï†ëÉΙ·|Çê8æoìÿž,žŸâ6ú…É¿èwèH/ûÞ ¼1®ûáy“×ãþx¯Žß_W<…ù¯ÖÅì\uãá¯ëÚ'ÊûB¤øIkõ!­K‹Ÿ›FÕsô7ÿjrWù觵øôIúOçF”Žó÷ãÆú¯ôoëøOè_Ð=ÕOl½,n3;0åÊ—à+xY6ÅwS>S~!óŸÉŸQGºŽ}¾·ÿãü8áñû£ÿåšóòXæeºŒçc}…-ñ“vŠiÏl½¯òßü…ÅÛ-/"èG½-|Þ7ù÷©^ØÞ³|,žägŠ_™G6¸¸OøŸ‰œšÜLqYËOHß±ã¯zÆqœ‡ô÷[‹çX‡a~?æ#¹^-ÎÄó).5ûiñš­7ëœS¢Õ‚®ÍŸZ‹3ŸÕ_.èjñ>®[¾Š~V#7Ò…kû.›Å-þÅsú«¿N~Ôâ3æ{f×Þ|ÏÂòE£ëj~¤y—´æ7þ´ÞbvKõ™ã†~¶Î-N9÷6ßý1½³¸àj|;ñwŠ³ÇøóÜÛɯŒõiõ¼Ð?ýoC¿öã§sX;æs«¥žÙz[󳶮£ß=÷þ§q-Z³”“ßf×ç4Ú Ìûøüûqš_c~Ó—©^×Ö‡ô |Æ7­=vxe§ø-ôg7þÖü«ÆŸ†žó:ý¤ÿ¨ï‹>Ì;åfǧø¨ð[ó†oíÿ:Çâ%êà ýì; Oh|@üŽnú%ÓƒÉÎŽë)ýÚ:Hÿ7ÿ«ñ_É=îOöXë¤èßöd\Í÷y×OË'L¾4¾=pý¸ÏcëÅùÈ'ú¿úîŠÁ7h‰ÏùûûoäæUÿ†yZÞ…yho5?>ðœã…þj_ËÿË¡ã‡ZÇß4€ñ·›Ý¿±¿ÐC|§´Zå|'ú÷ÇYÜ9æ»Bw“kàñ^žþ_®'þpÝ,?`Ü©ù{î¯ë'Lu-ÍK0ÎâÂ1>ÆW½-¿çdr?åþ#ÜðÏûýhÞáÿû®žgÓ}XC»azwYÎý¹~÷Œó­kã—í¯äü#ë½´êw…®ñ<‰Ìgú®þ ךoàù”ßYœ3ù]õK2õ†u¨zŽÿY7û¢ú…ùu?Ï-^º_,ßlxδ>m]@å²Å ‹ëDz²^¬Ûq]Mߧút³«À¿ÕaΡŸË¼§äüé°8D름¿ZÖI-ÿ3¼ÍNØ÷òF;_÷«^%ø·ø ϧ¸fÊ£L¾&þNúªúMú>íï—[ü9å+-¾F?ÆWS}¦äç×þ~+éãû^®…^µÿ€Wöžx±ÿGÄ‘œÿØé›ì®ÆIÇ~_ëTÜöÿ×€3Å?j¿ƒá þ­~Ák˼kò+Wó Ú«In”>\›ÿ¶8Ýôõv«—Oqìx/;ÈùHϱ_OùÓÕýç9nè7Õ§¯Æfÿ®¾gÞê"Ç>ÞôÛÖÍê,­€þ­þû¸æwþƺ€Ð?æ¡óLûËÍ>c~³[Ó~¼ù‘ægý&|¬®<Õ¡lŸ„y á[˜ö¦ùçóþ¸wHÛüæ39Ú¶çïŸ_•KóÛfçÍNOõËw¦xžöÉâ?“÷‰ïæô¼Óy¿}ûÿŸøÓù*³GôûêO¿ÅK¤‡ð1ÎÆ[Àì"ùhõ³OZ^æ/Ú{êëzªCÐ.Ä|?ˆötŠï ¿Ï¼Ÿ÷ïð5<_ë=7Ùg«§;ç3ùû_gË&?Ðø(ø|Ê/ù_ö›ã‚Z‹+§¼Õì–êÆ7½_«[à>ýòÔÏüç«úںϸaÊ«BíNàr][ý…ô ?á}÷ñ´óå–OZÖÆËý霉Æ÷¸Oú8þ|ÃǶ^ óOãè1®F;ÕkÝùA9´<©É=ZúA>çºq?lÊcÃo«çYþ¬ï]®?ýŠæKÇþ|òK&ÿ£¿;=ù'Ž#ßsž›òvuÍøÑàqܹÏcrfü#~Ç·zúUœ»îSo&»F;›ï©ÿWíFË3 >Ú©ž¢yÛ±_[vŠ“”ÎЃù/×#0Þê}V/¢=¢Ü×ýu]õÖ‡®áÍñ&ÿ–'V¼ò ï îó}xæ—,o´¼ÍÖÅâk=B>Èü-ÿ\-ë"ÉShG-ÏlóJÿ)»Zojò<Èož ±8ØòZ­ à>ùKøüß*‹Ÿ¬.IzÍþÛúj½…táÚæ±øÑüW«kaãÛ”ÏküÁùØýxÍ}Ê\ÿõpùz[×–g˜5¼/³£êÌ7àÓúÉü-N8÷þÏÄýÕ¿âšø_Ûo˜ê„ÖjüÈð.ï¾Æ-¸6{Ax•?`¼õ36Å7\ÿæçpßÎÔsŽÇÿ¶^^×á¾Ùå/£¿žS¼¨×jŸ¤Õú‘ôŸòi“ƒÒÛµo?Öc‡óÞºf¾Iÿ zFºmÞuÿýú>ÆE6´7Lõ¦ ¾ù?‹ë¦8ÎìÆ´&Ͻãÿ=ú·º®À™ò+ÚyÖï¦sdf—X2y®ø`å¥í»fƃf—ˆ_«c\¤‡þ·ÅíyŽ~“_´:ÂT?à÷Œ-Ÿµ|Ëâ““âîkž¸ßï×*>\­;ȼj׈ûqþ÷ùiëÈz_éÍ:÷ÿzõ»6ê7e^£ËâmÚ-‹×Ï<Çeù‡ÙËÿõÇ~ß∫~yò{ö}b¥íÕ8ä‰ýýºì®ÐAzìÜ»ÑCyãyÜ)ß²¼Për€gñ»ùçIßi#ÿ•·ücïßâ6™_ó<ô§òZé‘ùÌnLù•Ú \›ÝS¿-t«_Ä|¦/æ§(ŸVwR~~fg5^>÷ù¦ºƒù¿–g˼Zz~ø'Æ¡%_)×Üiö˜ô³?龈ÏUÿ2åÓ“¿4»jy¨òtXœ¥yŠÌcçYš< ~6{¼1¯ÙwÚßfÑ2Ÿhù é<«;p=§z’ñ‹x3Ÿ¶öj>mñ†ñmò+àÿ´Í~Ó^YýHó}¡»ÕMÖ}ÖY9>vîª|ÜWëi|Žù[ƒùÍ›½Ö87ðŽžÆ«è§þVèoñî“/Vo›ââcñã”gLyÂÄ/Ë£Íÿ˜åú¶x@ð©uúÛ8àUõ'›÷M)_¦—å·ñÿ6÷šÝiñèÕºæ3ý5¼KÞˆðæûa¦7¶Ïiq/ã%‹Z~"ôµu>–Ošÿ6ýiq5ç9Ð ýSþmu?;Ƕå!ÀkzoÐô”öÂÎÇ2n1:§|Ùüÿäïé/§º‚ÉÛôJ®§Å#“?šê£—ãÕÕÞ¤“CôÓ8~µÆW“ÿfo0¿ñÉü©ñAíƵ|Œø_­«¾§ö™­ÀµxÒò¶ª‘àI:Æýj\kþ‡çE?Þ àº›=ÒúÓ«µ/(tÙý–/.®[~*p _Ö[T_0Nå™xà9ã!›úgñ‚ÅzÎý¹Þ·Ì‹ûM~0Þè ¼É¿›_R¿'mÓC´ÆWʹÕ%´.Äy0Þü¨æ¸O}©zëýÿ¥ ÿ¥ÏŒ³Í®´~BáK~1Žý˜à7é±å?NÌÃÿ³juDâ)t¼ÅÿtظiêóTŸ·ï®_µG—ëƒò|²ßŸ[ÿöþà[§þÇèÆMõd“‡=|À ÝçZ}öÍœ‹~¦/æ->Ëy~ËÃ&ù3½¡žXÙ1õ;xþîÛ^?nëóJvÆô~Œ{é‡kö³:•å§åÏq=Ù)­C£ŸÉ‹hþTàLq¿ú7ÁOýîë÷¤A_èjß-ö—ù­>ž»"ÝÀsŒ+AÇ”‡\ÓKÒkuõ‡€cþû ÷Í´ºûc>õ‚çe†¶è;÷¶é‹Ýç|çý–òmq¥Õ¿Öxœ‹mñ1àkÜ“q˜—údq±î3£µùu? p-ÞòUÊׯé à¶ü@è6ÿ¤yÆY½§Ù¿©¿Ðßì À·xNí:æ·xÚö'=iy áâù´ocvâjÜlõ]óSÇäªÅ÷ë:rÙà΋ûõÅ)šêWOÀãjüoúp5Þ§þ´z®­.N»võ’Õuè¹.ô¿œ§Åœðì{FZGÄ|f?8žt]Í™LuØ&o€C¹§]¨} ŽC¿éûº&GæŸl][Ü8º¯¹®oG~š½Àsó#–/Mõ³Àyƒ~VÏ°¼ÚâV£ÏüøÕýzúo³ÇÍnÉ|Ç€žIG¹<î_¥×ŸoË|Íþ 5?™÷ Õ__¤wÊ?qŸv`ª˜±øÅð˜ê±ÆÇ÷ðÔ÷7õQý1®YŸ˜òXµýýºÎ¹ŒWû9jÿ€§ÖKe\³—«-»óïQO9çýDx¸¦ßá>ãú£É>Ø>õH×Kúýgãµ’Œ³øÚâÊ{Õ×H÷ç€kñ!ã*˃š?]Äg:¿Õâ+Ì? U¾ ݦ–GYü ~‹óû}‹{[¼)×–'Z\:ÅçS\Ôò¶O=Ÿôòj>iòEøU>Wó*³-o‘ñÁ;ïgÓ®’ºŸ˜þ2ÎðhëøÀ¯åQÀÃä›qõ7çš®Æa–/Ü8Nú™6¹<ïÓ£õ¤Ðƒÿƒ5¿J;¡ùðq¿åˆvIã À3¿¤y˜ÌO~›þþ©}Óú:è%Xg$?žÐ¯ÉÇyŸÞqß x˜ÿ§¿5{>'jr”qÒ²ïj OÜ7;9Õ.ç[À¯ùw´¶šG¬kúÚýÐÓε ~Vw›ðTý=ökÊË ×WýƒåMŒß¨ä‹ÙW“óO&WåO×uÛ¿>-¾å|r}ÕŸZìê{"cüÆù‚ç±ßWüߘO³%ýÀOëG2×·ÕÛe>‹C,Îd¿éûSÜI9ùëáþüÍþó03þi¾‰~¦‡oðÜò/Í[µÌó)gå‡óø[Û¾÷Cº¥¿ÙG‹»Z>üÍ.çû@V7ivpš~€šÇÎ[ž "¾†èý溶ó ´K­.H:Ъظf‰®µ ÷ o|ÿ¼ÅïÄ;óƒîÉÞX\nþ8õ·I-î°8œ|°zéDŸÅ‘Æ/òS×í¸??óeËóT_xßàßc¿¶|Gϯû‰o4¿ÃµÕoZ|-óÑï4»ºÍß6;ˆç-.¾f7Çst˜_ã.àaçýl}hÏì\…æS™÷Ëï¿+w5Ž¶s*ôkò„qS?ÅÔsåîÞc÷¯Ö_­.añmÝX-Æ©¿Å}Êu®ßà¾åg´3S^nñä¤ô«Oh¯Œ§|ÉÖÅîOr_|É{ƒ€×äñÜŸÓ.Nõàé=”)Î1ýàºWþ½ž·óÑ€oy'ë–w\­—™¿ÓººàMùQ¾ %¼VoA?Ú×&—Ý*—B¿ŸìÕUûkt•]Áx[G«¯‘Ov.sŠ/ßþÚëç—YßâÍÀÇý7Ïû¸1î<î÷7|Ì_R¿ynÇìŒù#•KÌ7ÙoÆæG,Ÿiz¶Ú[æÁ¾HÑ÷¶'¹nùÆy¿ÉîOùF»Bêaø6ÙsËSL4þà<¸&-ßÃý)®39ã$´´{|ßêjƒv«Åñ ÓÖyúN´ÚUÂœ&72Ÿüaâ¿G|'Âø5Û«Ïõ°xhZµÏì'xZhúOy¦X\C9·ûÄŸúµžOûšóQ\µwÄ—ó¯)n1ûlëvù\ŒÐoòN½ã:Y]€òi÷™Ï«< Þ…Çó~}5~µ:ÞÕ:[øbùíë”Y^ÒüVð>7æ3:&ÿeò1ɧåóÏ5üŽuý­ÚGà9ý„åiªOŸòPq+ñM΃vŠûµ.¼-_0»h~¼Å·qíÿHç‹ýûŸSýÀìÏ´?jþ„rbëÑê¨Äw]óÿ«ˆ¿Æ è§yæoñ:àçô@Ç”¿Ž|;öûšÿ¤ßÏûïÛ_šÞ­¶ÅýÀ—õ“c‹«,?¥Òý ÒÁö¼ßÏÖãÝ/ü?¸à×â#ÁËèæ{LŒ{-¿nÿ‹†ñféG[k-é}–WSîšÆuóGõæé|Žûº_ûbßÔý/k…>ó—–‡iÞA¼ÑŸòØàNé××ûï š=7ÿmò’–ü›âœ©îcñCóƒ™ÿÜçòsÚ}óÇê·3_è|ó/Vßköm“cïoùs{¿œô ýSû:}ÇYóéoñ»ÝŸüDóGÄônãÛ±÷ë?çþüj½›|‹~ÝÐúnþ{Ì‹0®Ås¸V»vî÷5>¦S|mù][ÒwþþùXÂâ-“ÓKÖi§|‡rcù§Ú™ÜÜýääÕ¯.è›üƒÚaÜŸô~’Ÿ)µõWyÆõøßé½-âÇxÑäµäðZ^ pÔžaœæM¤ƒýG‹7Žý¹ñ‰vnÊs-ŽjöøÜû[Þcu>Û3¹aþeqÜTg2yœô¾å£¹Æ}[ß)ïl~Tà˜½¦ý³~ Ïè% ·ùµ8§‹q¦Sœ0½‡eõ'Úmžshö øNuZ‹+Ln4N“q“=µú˜µ“°:&ŸOñ ã0ËÓXo²z’هџÈÿ‘s“ó©ži~Ôô÷ö¼ð:÷Öâ"óûSžeqƒáetÙû*f'L>4ox~iÕO£Uy²ñë<íOò ³×¬{…Þfw0ߤw£?ÞÇýùÔ_ Ì?Ú¾EðzBs1OÑ%xqž\‡ßö}f³—ë)‚Çd·§|Äì•Å£&'Ä_óÒ9à¯ùÛs§×òêaö½[ü*óš]2>5ûŽûV—¢4ÿµ®ÿw™_í”ÐC¼›}æõ×ûûº¾BWÓ?Á'tç1,ÿ2{ÐêþëºÅ«÷áOõÓÛ_Î)ÿ5=§|6ù9„>C={ƒóþ¯ Ý'PÏš_Áõ”7MqPåI‚§Ù]•GÀoö„ð€ßU;7Åfçn »â½‡n[oÌ{5µõ7¿­öÂæùµ¿ov†rcïó¨ÿ8†~F×±·­îÏkÀ·ºn³;˜ÒõëáXhu÷©nczovžöÀì¥ÅifOÍï5½裞}B½/iõº)™ì&ñ¬zà7yþ‰|ãÕþ}[Õ—ÀEËxÛò>§½gÿé‘yMN¦<›zúßiq/îOòõ„Võ€ð§Æ»«}‰ÿ)d{îp¦üÞôÞäÑò/µ«K.Ûw´1Þöë,.·ç¶Þÿ‰ÿ–²~Ûò`ô×øJðÐú”À¹ßÕæû4æW÷†ûÍ.r¼]£5ù³|FÏá¯I^'{C¿võ{QfX·±s)÷^­¿–}=êgðÜø~½—ýÚê?j~ãLÞ¦|›q5ýuà¶8Zàš½)»rî-é°|ÿéøý8­Ï¿ýyM¸BŸå|®õ¤cïgùºGÕs— Çâ,󫼟z¹Ù%OqmzÖüú•ÿ^ûZ-ß!2Ù7ò§Å‹Ÿv?:Lå¡äðyïÏçûÂJ'è°ïµLôWõRó»Cú ^?/¹š—êÿ‘aÞ–¿É¼šÉsû®CÓÜ·sŸªß¤Gðšê±&?cü<,ÞÐs¬€×âÃOZ³7µ¸%/ü®ðå¹ õßÄ tÚ:[Ü7­Çxž­Å•–?µõÝ´g´{\çØO‹Ëš_^w þä£ñýIƵuºymòjñW““Ð/øÜŽýÚòIú ‹/õ¾Ð5åµS¾}b\9Æé^¶OdòQùÙÃùÖ÷)KnŽûóX<«~ ýÍoÙûT­Î¶ð¼­þÌ£ht_RæmvT®§}¨é\h“'à7Æ“çýç–ÿÕwQÑoÊ šü~Zûn³å½„ovrªC]õ'ÿY9¶s ºnćð‰èaÿÂó·|Fæ#^&Æ‹_ä½-ËŸù^†ÕÍhÿ'ºMïGûÏ~€crOyf;ù-ÛqmxLçá,žlù6àÚ:R§}D‹oèÇ,Nžâ «3ÝäÚôÃò[ƒoë=åW'¾Ù-ê×Qó £ð›^ Þï>ïÿƒØâïÕ^ý.;ýÉ´ÿhõ'Û‡köì¸ßRÎZÜ,ý-ï˜ò¥–7 ŸÉ•Ù=ž4û@}·8¬ùC£øPN-oêB§ ýZ2:…««Ù:˜ÞMqÀ´/;D¹™ì¨ê1:Ì>Luª¦ßÇüÎD·ñaŠ»Î)î¤Ü™¾Ýö]MôkvæÜ[ÓÏ?–Oà=Öae¼æ/¸oüL]Ûâ0˧ï¨èwúÖuøVú…ñ“^‘¯-þM¿u¿}×ó4=~œ¿Å'™÷Üû·¸ð”kà­ëF:Ÿ1æmq{îcÚ;ÚÃV—"éoõ#‹ŸÌMv¢Î§×ÏøL94:¯Ú-õË™p8¿Ù“ác<ãرî&÷˯ óÕø»}5»Ï8‹ý‹Žc¿µ£õBÀ›â¯é=}«§ò»ÿ­®†yLþÂ'Ý#Þ÷¿ã7åƒê§€÷4Þä¢éàX½aòÄ×âÆ&·úªùßéÿèšû<·[=Õì¥ñÑì/ýõ‰þkÚŸ4Ðì ®-^´x•v÷Oëãù#´SÝgòSÌS-þlv„ó Þô·¶Öóš=Õºèlø¥ÎüÐÚ>µå[ñãMÏ0n’×v¾‘­ðpYGŸì:ñãÿ×}äÛ–7ZÜÝâ<×z•Œ³õköøµº™Àµ<˜ëçünK‹›?Æ­æì¾Ú]ÌcùW›íäG›]æ<ègy¿ H;eùaó3h©ÿºŸ 8¿›|Lùt«3 ZÇÊ< çrü#øZÞ`ò­þIðku <ϹrÍWpßô„r[rú4ž=öçê¿oª/Û}êK‹ ‰]¾åy\ç«úezÜò!â^ƒÛòfÐGy+|_Þ?×hù-ןvoª[´z8ž7ü…î¿0?çž–hÝ pX×7?0å÷´ShõÜIÌîi<Šç¦&'W÷=©/–¯·ýÍ«ð€‡ùËç­_«‹å9úQ?Ÿyãæ£-_\×oò=ÛŒ'Ýl¯Ioíœ>íà§q½lßÅä±Í+x7xÀÓäËäZãÉŒã}´ÍŽÇÿ![òAè-¾óÿ¬oýoj“Ëàs =÷–|kß«<³ã7â»ÚV÷”~S=tMrHy± [ŽŸî“.ôã¹hóÏS=Èò³”g“'ó“FoÃó#¾'Œ~Œ#[³ZËë¦z®æßlñ¼ðú°ç“\´8÷©÷üŸGI·áÈõê÷ÿyxÞü.áaÞ‡àùôžÈwؼŒ¦º¡g¼gõ”f—d^‹‹§s@fŒ¯^ú=(ÀâTó#æÿ*^M+ðÚº×&G-Ÿ~ôkZ§$]€ÿ~íïÑq}(—¶¿ÑäE®§|Æâ/ÊÇßU|›vÝouHi­.Õê„|nøŸû¸1?Ä}ÊOü‡­—á;í—Zž0ùûîa‹[wÊçl§ºãèGûãÌNòÆ'¸fgì<È?Ü×ûþÌ÷?jôgþ4ù‡V§ø8ÿÌ~œãùþáZ=„ú©ùéÈýãþó©¾ÂïÓNöËì×ÈwŘ˜48¾‡;ÐoqÓ´o;é£ù%ƒ__ø]6éw5?hr.ó›r}mŸ×òLÓߦ„Ãy/â=ž‹;î?·õ¼êÇZž;õ'>¸?ÕÝ-Î,:×w˜o۹ϩ®Ôä&pˆéX׬¿Lõã‡áÍuÓ|ô@{JkýŽ;‡`ñ“Õ—,Þä}ûnI³‡¤ßæþŸîûoÚK³‹S¼dúF¿¤ü²ù…nÊ­òI®Õ.Ê|fŸZ]MZæSÍßÌ7å·ó9bògþÅêa-O@¿)Ιì;å·Å9_öùym¾£gqÙ§«ñ©ž{Ç8ÍGA‡é±ñëOýÕú;9Å“=iò8¤«Ééqó"ƒÛø+Ï[…tÛ}´–W^ögrßäÐäÉì*õˆë’ï–Lð¿Ó¹TêÕ”ïY}eŒï~‹ÃÐ^Í㌖'+B/ýKâð«ñ Û2ùmv ð2Ó/›_è!?í}ó«ßÝßO%Þè×òo\[¼G:Êÿú5¾âù·™^My¦Ù+Ë«¦zåÑôAëJBõ¤ùeâ)÷-.ÐõÄüÆ’Ëç}ó âmúcõŽf¿':1¾­ÏqÿºÕOpmy¡½O>ù᩵™GðŸâa[ªûLù¾Æï‚ù9Åõÿ€~uþ„;óe\Èö†qÿÛ9{£sŒ#Ͻê–-:Õ >f—ŸüÐóKë>÷µÙï†þS¾`õ«Ï©¾ðþ—ýüg‹¿8ï±Óoõ€)¾1{¯ñ ðiþÑàÎjÕN Ý£ÜÊ8ó‹Z‡<ï³u´:†]›?±øÔìW‹S1^ýêoŠgµN%tÐ?[ži~’~¾ÑÉq¤Ï'¼Í¯·ïyáy˯®É£ù Æq“¶üÃâ.­ ƒÎIŽ9O®Û¾úk„ù4Þ’ù§º8ç³: ×uòë-nÄs«G6¿qH¿tèO¼Wku¨é}I“—ìk›\SÏ Ïüsókœpi¿Yžix_Ňñî÷®Õ)(÷-_ù±Ÿ#žòÓ×)¯¶ü—ö‰ßÓüÓú+󙱉yëýˆoþÏšøX×âJÚÏo“ÄŸýãè?ÕgÒerkþÌâ¥æÏü-_§¼X¼¨öã/*ÿ€?ÖcIÆ]•_ t›NùŸÉ÷LûÏ«µs¹MNØž{kòN8Sƒr:ágzÉ8pªÇÚº}´¿ô_µú©SžB{Ùâdâ<Ç꺖÷×ÿa?c<ð™òêc³›¤ë¼?ÎòXË h75¿5<„›Ÿ~Éò™F‡¼'Öò¹¶8®å›˜×òH£×ê–Ï[Ôì­à«vn]§^D»D>2®» tYœaüÉ÷Þ¦s‘j½t«}¶ìß¹_~ÅÏÌüx–zL{Ûò]¡sò›&?-¿$|À3¿ñþa§Oí®-N´}qê³åÁœßò ÖK›ü˼§OçF[¼(ý‰÷$ç”kÓ߶þ ;óØû!öýû_Zú“V—#>€köìrÜ›ï­÷ýÚ{Êá4?…Vë¹2~’êAËËØâoõÓ\ÿõpî”k¾vîmÓ?Ò‰ëz¾ê3jç0ïŸÖéo‚­çÊ›§ºFéÍÚt±¾£qµÜýg®€ÿ)ó¼ËöÏsýæÛ~®÷Æq€×ì6®'ü-Ž7;atËŸÿLñ¶úËÐxûx£«ÕÎûýU~¼´‹ñ&'W÷ €§åæOÍ>–¾¡¿åãc½)­áŸy‰/ð*¾¦EûŽ¯}¯ÓôÄæ'¿þ³qqó/2¾äóL|4þOßßnz"í7Z~1ÉK;GD¸ègùd[âÃù¿É×UºIŸô÷ÏÐÒµøóPî›8÷qf/TÎÐÏü?í Ù9“w£×ðµ|Âê«Ó÷ ­Ž@9´ñ¤Ûì‹é‰Å¦‡Z·8SýŒzfç{·ýï'àû»Äxn‹ƒ3žó^„còO£ñz®ðb¯ÌÏX|bøŽñ æ×ýša>ËG,^5;qu}-šòɦÇÀ“rly/ëWOYœbñ ë0í p’âWòEº€¿ÊÛkÐ1í¯Ùþ;ç·}°fyó2O0¿ÑüZµ‹ùÕ®s¾ÐÖâÚy£›çùUžqßò“÷h)¯vÞHå,-ð¶¼ØÚ«uË{tŸtZ¶ñiÝ·}bÛÇ0y¸…^Ü×|…x?oÐk|hþëÜÛ)?±ñŒ‡ÌNö?§÷3'ÿ`u1~Ç^ãV\[œeñkÃp­®Óâ(Îóž÷ï›õ’ü5½0¿Þô^ð©óhÀ+óÛÿ\\Íã¦ç”Cós¶Ž“_Ð}àÕÖó6=ÁµÚaÁ‡ë£qæj+>Î5æùÓüÅìA‹CÑZÃì«å Æ‹G5^'½€Ãçô§Æúkó‹¤Óê-ÿX‹q¦Wú}$ôköp)†W³Kx®y î[¼nèÏz>áS^õûr ›ðÍÞ6>¥=Wãð6ž÷Oôçûlxnzcrgñ­½ßÝôžã8xZ6~G–óËó)jvýŧõýÂ¥>XüaëÑè4¼1NëèÁ'ãAãu«·™=²|°éaðÁµ½—0Ù£É^pþúOqÅô}ézú^±Ù=ÂkùÖqÿþ·Oñ|“+àaõ £Ÿu-mÑ/ûÞÓ>‰Åé&&/Ñcƽ•ç»íë=¬:7ôz?_šsEù¿Šfç„/SÜoõöIn[Þ ~ä='“£\Oïm4¹Äü*8w¥y“ЭþIæ·x]å xk=ø¾Åw›~±?èÿÏÏðúŒOã93oòfÿ¯¡~†ÏqŸþÏêêf·4®$~€krbveªžé­Å­&?jÇe¾‘Ï2ŸÙê¥ù‹)ìšî§à¹]WÝÿ¿Ñðz§úXÉ'Þ§Ëõä¿M/Yg¡ß0nv·Õí@ã‹+[ýý¹þö½ýÆðÏâ.‹×GC:×}«‹š~MõÍ߬úOñ·õÓzÑ·Ú&ǧ´ë¹ƒ¸oš¿™ìô¿^µï&φ§Ù#ÖçÍß3>žê÷c\>Œ³8¸Ùe¶ììtòÚêL¤‹þçj]´â!ôoqZõ—Àûj¼hñP‹ ˆLJ.â/tYkû Vg$þO|z¬žyËs£{]×û¤ðšÝ9î³÷Ô¯àþhyÏÍî–ž_ö³u3}×|ãø}kûìÓþ¬Ùyòßæ1;3î |ö§x‡¼Ûòâ[q î·zÙ¹·ÍÈ8‹‹Þ<ïô.ýå‰vqŠ‹ÌOi\Æû˜ßìg›ÏÛ:Ë8óÓ†ÿT×Ò:Júîãzÿ+ÿsÜïgzö§qíW‹7‡VëXhíÿ*MnÌ¿MçéΫùXÛÀµéãd'l\ñïçþ}õ€g­ñ_ë(Ãø¶_•k>}“¼QïM¾êû3 NÞ“ð5ÿ1®®›?=О×úåyâœ6/ú·üš×gqG‹çs½ZýÿMŽÃóG¯q¿Kè0»Ò¾¿‡¶Åo ßð¤\š¾0_°­®¼¦¸ÊìAó×ç~_ã\ÌSö%x¿oG¿ú¯æ17\õ¿-?=î?|Þá«<|¹ÿ³É›åùšÇ?\Ó>´8rÝgþ?Ï¡딂ßäoÍ>0?lû8Ä‹øx©]Ã|¶4í³Xßø<ä¹Æýë–,ÿ‹ßÔº!®-o°:™å‹Wõz²ï¶®ô+VW/?8Àä|ª×Ûßiñæ1{¥y ñ:5þ ¾Äð,?m~…ó/Òç__í\N‹ƒÐÊϦúÛäWìÜ–Ù¡ ¯fOÀÍ5áa>Õ[Âa?¹¶}Õ£n;×fû jŸžÆÀËÖ—y¬Å›\§i?þ{Ú'¶øwÊ+ ¯I>SgÑ|'ýÎN³2¿ù£V§<À1ý³:¸Ùw¬¶Öýx¡¿Ý·¸$çŒì}vp,W¿‹û´×M¿W|;å3-θ|Þò—CúËüfß,¾&Þ¤?ýÈWµÃÀ‡û-¿'=˜—ñ›ú[Œ·<¢åËÄt2Î2;C~Ñ~Ÿl-ošê˜­Žƒë©Î5=ÏÁqüOýñ_÷߬ó}±ÑÚù‡ø˼Ïh^¼„¶NWí¼Ù‹Ã¬^>ÕÍ~´yHOú/ŽÇ9˜ÉòÃyo­»£-{þ¿ö|ÒÎS¤É!á }V?kòqÜï¯ög€kqÅ_Ó9E×ý~‹S1¾µÄÓúOâ 8ÆOóoš× óMq‰Å¡“ý3»©ëyT?¤¿Æ«ÇÞŸr?ÅS2®#ð÷߀Oã7[ôŸò'“¯?ÍÓo˜ßlñ çÁxÕ3àcñí[ÙzŒ~c ªÃZÜGþŸ&|È—–?òù!ÏIð÷Í€'Çi‘p×5ó Îoû0Í þWõCëT¸oúcü˜âØ—ç9æW?ŠûÍ®“>Á£Õ¥ÑZœ2ÅÍZ'6<ÓoÕ3ò]ÓÚ'±ï—ç»y_è ã$üûT‡ªxKð³¸éêÿ?Ù¹ˆÉn×ú²?Ƶ:–Ì?Åÿ¥g «ù3Ì«zÉq˜Çòã’ççý~Ó#ÒeýxÿØÇ«¿~Óþ’åK—Nãíܦ½ÇG¾èùBÒ!xE¿j]ð}誇>àkþ¢Ùà5íW’Êá·Úu[_Ü7»¨qÈqÿù´O¢-ú3Ž4»cñŠÆ帯þÅè]×V/œèãIgôJ;žç ÀGíï[ynyÇoÛýà„÷$™Ïì{«s^§ûxÀ·åirM¾µ¸'-ñ”ÖêS=ÊâgOžà 8f?”Oè§ýqªã´ýàÉüÜòóËvÞäTù-tÚ>õÆâ–æ' .úÓoÐ/š_žüä$¯`¼É}£tµýõóþøÉLõm«;´¸"ç‘…NÝw~šÏfüý+Ò6yÄ÷êX¯Ï»Þwr=í\èT¿žì×Õú‰Õ“”ïh-ÒsgëºÖϯÂѸ]à™ŸÓõzÍO«¢?íÅ#Æ'úwæÉ¿iž+tMûÆ?ÓoÖ,O±õ¡œš6{G½›ü™å£|?“;‹{¬~Óòâ¼qßì„ÙkËÃÍÿµ};®é&Þ¸V¿8V'°uÔ}gÂ=ŒkÌî·º\OþÔâ‚)·x–ñ©Ù{Úã/ájvÞo§¼òýÃê7ÌC¸mýYc«ù,ð¾v.vRý¯A§Ù Ê]Ë'0®Õ!…ÞÉOkEè3?87?­'é¶|ziyÚh·wµ¦_Ïs.fÍ®’~‹‹ÇÐÁýŸqIú1^×zèPqìø]­ãY<Òô0øãZíðg=žy‹Æ¿ÀÛøkïË[>aqÝÕz¡Õa›?bKÏ»k}æãýý±ç÷[[_Û/bÛgžô¢ù Áƒq Çk<¼®oÇÞNp4O¿xÝò+àg­ùmÕûaÞ&Ÿ¸&ÿMo(Oš_q>¡cŠ›‰§~•ãøž–´-ïEK:˾Ðmü»Zwµxw’ï)ž¤¼[ÐäPÆq] ¿«ü™òTÝ÷•ñ“|MöÃâ³IŽµ*ã®ÖÃõ|©ôkyà_óÊ £Cè6½`ý§ù Œãxå Çá9׳GA?ËÿSçy~ŒŸmëfø5x÷÷L­µº¤êúYÞañ€ÒûpŸ~‹G-®·õ¼ª÷æ—,¸ê[ž@<ÏûídWx¦Ñüe<ÇMõeµcèou‰)Ž4¿«úJx¹Üï7­síc¼åCZ¿Ãu['â)ø5ûŒç*/À×üŽÕ‘t_Öèå|ÇÞþqÜŒûSÏäv±ò)ÒA8¤WàSOÌïNù§ÉÙÕxŒ|™äû+MNäšqƒâ!p¸Sy5úkÜùbß19òµ+Äð¦xÆò{æïS«SMü'_Ô¿güžç¼ãÃ'õÛ§³<ÊüݤÿS]Þì„Õ*;÷Ööšá9ý©ò_è·ýU®+í\³#ë;$9ßÉóÐvnAã,ô»š\nÉ—é9ç•û´óìGy`œAûfö£=—~fio™´<ð(oÓù’_íø“^NöUó1Ü'YO˜ømöp²ÓÓº™Ôý&ô·¸Øê­Z¸*ïÀï*Ü1¿=MŽý~λ–ÿ:?~ªgÒN^•ÿ).¦|3n2y1ûDÝÖMÆiÝ÷¼ßÚ&¿,ÞÔ¸JÆ™¼MvõOëhStµNmy­ åÔÎ Y×ä%ßIºšGOûZS}ÄòúéÚòf“kó\ÿ–¯c\³Ûëþ\s]¸×ê‡ç~_ó2\Û~ õõ½V~&Œ &ÿÒþ?5ß«K<ˆý ‹o§©ÿ-Þ@«z}îý,Ÿœâú‰®1_‘yyŽÈâJŸ@·ê±ñpÉgþoRä´ì>ñÃx[çVc{Ê5è$ß[}NæåøÉÏW½åy‡ÿÄ~ëf¿öçŒ_ì=ÌÔéø=ø)O²¸ÕìœñíjÝEë-Ç}øÆwË?-N°ú•åÑ#¿ÐZ|4Õcc~Îç„+ó^=C»nö–÷'ûƸ–ñ燷kÂG?³ÃSü?Å=¦?S}Kãôô¹ÿŸ'×ȯµÓ{WïÑš|6ûÊùqͼÃäËò“Ã)T?)øU}•ãö[óÃc¸oz8ùmó{­N’ûpÞ(qü¹Ïû§ïY˜]ÕñÄôN~Üö'y1{hu^{oò;ÉŸÙ/Úó¿N‹ã„Þ«õhêËíùþ8µ‡6¿£¼݆ŸÐ×òyÌczA>Žçß8¿Ñ)ôj]™óžÀWàX‰ó7ÿ#øOòMøÔÛIþÌ^˜Ü›¾ºO¸Ì»'yÕî°ÞœºŠÅ3”ÇÂï¼?ÉóK‹w콋—ÍNý¦ï&Ûy~õÿ2ÞêµÍžáÚäoòkšÏNt \Ú)Ê¥å+7öæ™òòiU×iµMï·ø·â³È7õ<ô'/žöÁ-Ooü<ËO,ië&x™?oùÆ]Í›ŸBË£ÒòûŽ¦OS^fúÕÖi§1Ì|Òê“_lô¾ùw³Œ(ßeŸ/Ûo(ûøyÏÚìOóKŸÿ}eÍä¹ñ…yžÖ?ØóX<`xMþUã†Ç]ÎÆz$áóùº6}ázRϦzåŠöbô³ë9׉vÆòŒ«vŸô¨Ýø–ç¶üôõþ=MÊÍd'F¹’yßcœÅO“Ü›ó}-ê³å¹”_Ã_÷¹ÑšßPz…ËÌ϶|˜ø³S\·ÉO¶y?=GB¼pßê„ÛêIë¾'²}˯[>°®i—¦x{òïMõ²?­#µ|‰×«µs–7ŒùµÍwìýUOOÎgõ Ú…)™öéMLÏUî0ó ¹ÎsÌgrjñ ÚÕÕ¶ï)Ê<Ì/ˆÿ„g³—„‹çZ?y¦:ñ·üÖ_Æëܯ§:aÅ·ùžÖòë¦gS<®þQâú圦ÚÓô_qeþÏ>ç‹ß¬s"ùŸJ“³\ÿ3è6?G} ž˜\Y¾Ùò ÞÇó)®iûyßöµÚ¼‚çwØ~)ãOÍS<'ÿgñù;­åÛÆ7»:¸Žô‹¹füÜâà£õD\Ouº– Þ·8ÖôÉâ©F×@χ*áY½¾Åa€£õÞ?ï7}Wú¦søWë¢Ö’_ô÷o¾ïu?ïã÷-óo›ßðÑ:öã}üÌoµzÏ€÷$º¯Šþ¬×[Óâ@ÂG¿Ñ/Ë<§Œz x´qy~ü¾ôAíŒÜŸü>×ßü¦ÅÝÓ~×Õ<Þö_¦¼Èü¶ú à=å·VG¸·˜ÿ¿§ùÇu|?‹o¹~-ïÀ¸Ú?è¡=cÜivˆülõ˜ó~¿É¾kþ}ì÷í}«‡Y<­û@ Wãºàµö³T>Ø–§ËüÖf½Gr^ôŸÎG™ßir…y4¿æ¸Õj}ì*~rÝê»®Ÿ0Îê!\G‹Û&ûhñ™ý?N=Ïÿ£|ØåðOëWãi¼Æ «%_sþhÚo¢ÖùŽÅ6ïo­/ž{¿)oë]¹Ÿï¼ÚßO™ê(ù>™Ú/âŸûy?ï)6)|1;¤q’ØQêùýIN5^ÄÛòœñ¼”ÐOþ™?¼š7¿‡ç“ݱq“¿Ô¼“p1_F?‹›§ºTÛy_Î |Ëÿb>­3û8º¦uŸâ“+Æ}W붞WÛ¦w§Ü—ùôÿ(oúÚYÎW~ pÎýþTžì˜ÅÁwç¹À£_ Þª_ïOùç5>´}»»Ÿ±¸Bë°˜WýýÇüÚ¯Y=$Ïù~×Õ}.³;i™çi¼s‘‹3é÷¦¸žð[ü!ô·yA§æ±/÷÷ Ø:çò§ÿ¿®y«Ì£õk\7ºH¯Ì÷§ç7Ë~níá|ynªùCàsUϦú’ù±ñÜIðÅsÍûÐÏò—f†yÆ:ð÷c€ëzh˜×â}ú Û?7ü,n!ßZ<#ó›À ½öfwZ¼´ôÔü‚é…ƸµN3Õß}Ø¿CyuÝŠ/?É唶zìz¯§Å5¤ ðøÿæÙŸòþ$ý›´ç ßüÏd—µÎ!t˜°üµÕUìù!-æ'œ7 ¼Š_ÐÏê6fG³nWãƒÇ×R¯&þ„¸Í^¢ß¤_“ý¾ZÏmñ-ñ>š×/¡×äˆ~QçE?Í׌>ÁÛôÈò@úiËoÌßü)ïà9Â?ݧ3yTûM: ÷Ÿpmõ€÷|Ž~“Y|=Å“Þ5¿øèoú5ñ±µ Ûòzãç´ÎWå!tZÞªúA<ä¹Ö3BúßOÍ?ùxPîÒï ý¸ÿ:å»FÇÛï x6»Ìv€7·5ÿØìȪÕù.à¥qõjéW­ÞaþÇÞÑxc˜gŒOåþ$O–¯ÚþBä¥ñá¸ýÓ³ÿÌ­ÛìúM­Åñê'ÑšS;²®Õ¯½Oþo«ä(ßË9‹'›Ÿ1:—ñsâ÷d'm?ÇìϘ7ã½p£ßâ7³kéw#~yÆÕuÒº5ž·¼òâüV!>ã{[€cñxÙñcÇgäËpM<þb?Ì›qú*ÄŸøÞ€cûWí9ÆÛº˜½0;ny¥ÖíÙOÛ'иVàYžmñ„Õóì>ëWý½ÉSÅWB¾Ç@<ØߟûÿИ<]Žó0¯Õ%-Ρ|èÿ‡ášþTé5:zÀe_åó ð-ßQ¹äs\×ÿO²ÿj+ž ž¯Ë? ŽÕU&{bq–öݸ_r8½oB:@ÏTïŸêaV²ø€óÖÿ¢ãùäo˜—Nõ‘¦ÇþÜæ7?3Úõc®qíy¿üÞ¤Gfǯž[·8Ìò‡ÈçtîÕø>åqŒË­^Äøiª¨]•ù¦zÅÕ8pšÇö‰¦ýk©'´;ͯ–q½É1õ›ëÕâ^Œoç*Ъýá5ðc9Åuä‹ÙéÖóhý™­àC~Z.øÛ>÷Tmø¡múO82ÎúÙüf5®åsißвžD?cq·ùóŠ§äy¾ÆøÙê S~ŸüÈôÐò,[Ïû¡âøiÑäµÙ5âÇyäÚöá&»×âT§×Ç—ykàñ~ùçøb<ý_“?gù§ÙµwÇŸÝ¿šoq#ðº\_z¦ý,ú_®s‹cÏû×ÔÛÉþ©_9¤àðÜîÄg£[ó'Á·áÉù­ø¿¿«üÒ¼”ø¦?ž³ÎL¹+ø9ô°àâ;>¤—úÛò â><ìý'¾RŽÕîŽÅ}?hðÍÞŽã‰ÿ€7éoy/èó¬‹ãh÷[Þ‚ñÍ/‘~§uÁSí,îÓ^µ÷@·Õá'¿kë¬û ¤㌟S¾E:[ÝŽã0žüjñ?ÆÙ>§­#ñlqàq¿-ûÂç¼8Sœdã¬p“qÿOöÂâê»õ·ú‡é…ùÙ)¿Rý&¾œpð\ý/æ œä!Äßòš«uÈÉŽO~hŠGÌž1jûŽ€¯õ éÇsÊ“?ËüÍŸ£ßÕºÀ÷_®'þ[¼Ùö?ùmùqí#‚î†÷jiÇZ>‚y¦óD–Z¼£r |,n§üY¼lõ?ͧqÝâ^Ì×öA¯êð°|jŠäy«·Ì;Õ³ÔþþÇj<¾Z¾—G>™¶xzfþËö[®ÆySýÌäÚö=Õ_Lô[úw’SÒÕÞkÇü­þ<´Žzìð->äTõGè¹ZonþóÒîê8¹Öý ô³xDí3áf>ÒyÞ§£é­Í‹vÒË«~Øø=é…ù­é;ñ/…ðžøoò3í_X¾grmzA»jü6A»xYWky£íïZ5Ù‰«çóòÔæÙr^ô·yÚ9b´¬KŽëŒVëÀÛä~ÒãGð|ó¼úgŸ–xËu«×É|2Në:h->ÿoÃx‹g¦¸@÷gåštOù~ëÏ6ý2Ÿõ<³V¿˜êûêÏâ}³G¶ÏF{gßC‰k>ŽyÚû˜ßòm‹¯Æú‚<7¹dF>ªŸF?µƒœô™}²xÇì~‹›Î}œòxNuó÷ Ž<׸pßcœæ{Òoª7MûR“}¢¼ò»w¤Ïò]óÃãzûüÜ竺‡à3ÅŒ§o¡󶼌ó\¤wŒKï©~0Õ­¬ÎjyÄT_°8Çð³üÀÚÉß\µKšw®–ç.9o®+.Kÿã~ky¨Ù{³—V¿g\H{ÑâaÀ1»ÒâwŒ·¼còÇ_Ž7ˆç×ê&æG›> ŸÆiÀkªNñ]“[Ü羥ř“½oyÉj)OWõÉè¹ûõ´eô®Æ·úÛêl×ô7ý´Ä{xNûN»Ýòfö<ò±}——ð€çhùpLþéo©¿“üNù-åÖêÆWóŽ3ùS/ðÌ¿7þoOõŒ®i¯Z¼†yGûÍçÄÛè =h-_ë€3ÅOfǦø¤é‰À›ê_S^K»ŸïF¾Å{Uõ¾Õº~¶Í÷yïoõw³‹šq Ý7½S¾bqÞôžïUºb§®žË÷u¯ñ½À™öÉ Oó3&çœÇü™®;ð3½49iïç{ky§ÅÙÍ^ËÇ} ´”3û~ÏsÓ¾j¾ËxÑÏ0Ïlÿ ¼›œ|Â÷ƒ'æ缴χµõá5Ûî”—Z¼c|âW“7“ûªë =m]0ß$´ŸæçF>‘.ŒkÏCæ™âÚi¿‹þêê{±oÛüÀßâÚ&÷ ×öh¯ ‹3¬®3µj÷2ŸàÍq\W“Ç«~@ãUÂÁ¼÷ÓoÑ5¹Æÿ$›Õøãh¿oÁ[àkÞg÷­ú3?Ó÷®÷”7žVÿÒýÌgzköÁÖÉàÓÿ]­XUízæC‹kjÑè•?c^ÊWÁ¾ZOº§˜ŸÔüpÏûýÔæ>¯….“›ÇŸûw§ø×ì‹æ_ÃóQ¤¥ý{q¿à~Îq4=ø¸ÿ_ãEú-âA<Û{!¸¶¼¨ÉÝwÔy i-ï¶õ˜ê½Äûê¹NÚ%ÚÙ†ßjŸ†qS½cŒsñ|ʇ®Öoµ–ûàɸ’?Á¯åIÄô^Þ'@ÿ&ÿlß_“îsé~«àký[ܵڶ? úÚxàM9mò-óš_²ó—z.Jæù$ϧ¸ÙôEãPi[Þ xöýo[G‹óL¯´NÍñœãýZë„ {Š#‰ãsÊˤÏvÞÀêoJú;£ÿ¶®§5ùùÃï©›±ïÄZ¼ar£v†óû¸ÉŽ©Ès™§å%ÇŽÿTO²u´z’æw‚ߘÈ<7gÿ÷jzµ8®›Ðc~’ë¡ÿc€k‹çm=¸þWù;ÎOºðœròžý0ÿ”×Z}Có0ÒÍy1~¬ÿ¶žÁƒð¼Õ_ÀœVÁu‹Ÿ¤ßD—ù7ƒ×âÐcò7Õå,íè²8Õðžôr”#àmþ–ëÈøÇÖ{|¯ÙþXÆ©=ü[>x¡ã ýM?µ.ûïVÝÑêÈ´“÷ÇÛ>@ëG8rmñè·†^´ö~Ö´?dñ‰ÖII/Çynq•å­—ë˜wÊ3;Žy(æÕõDê±É[‹Ïä¹ÍsÕ.]õÿoºF9KkðIÆÿgß·5¿aù÷G9ἄkmæºÌ¾4ûëäKWãP~¯kä›Ð«z:Æý«\Ì;í›™ž(?ÐNt\­³_Í3&ú¯ÖÛ¾à5{ixàyänÊ'ßœ¯êi “ã­žQz ¼+ÏÀø|_2ÿ¿–ïä:ßµ4¹ÑüÉè8¥?ZõÓÀßö‰Ÿí›i‹~S~Gùº¡_ËëλðýUo¯â9Œ¯x@æ'ÿ'9˜êQß-¿V¿gpeÊùÅ©.?® Ç­ûÜÏ4þ‘þ©Ž5ÅÑf7˜OMq¡Ö‰¤¿å§Óº0oµý%öŸêpWñµü>ïÿ˜]²è¾œç¡µ¸QýÒy¼ég»zY§`ž7Æ×¹–ç“^µ8÷§z»ù#¥Ï©ou~ý­N]pñÞä´~Í xÛþÁW[ü9ÕSZýQæÍ{Sõž àcþÓò‹Ÿ-ªßãŸü»ÆãÂËù¢ŒŸÎO›X~eq·í'MüâTî³LÿãÜäîØŸ³¾döïª}nþSèiúú˜G¶øø«ŸãóÐ|¦8¯ÕµiÓ­ÙÕ¼irÝ®×¾Iô^õ&ô xLyüX?ḎÙÝIÿ&½4ýÒüîØ[Æ'ZF?£ÊÇ';bxoJ7úyû‡®ãþ¼MÎŽû÷o3ô»š享:Í~·sœ Óè0¹ë1†Ï¹Ïû§ñï3ž5ýÓ|ϧuבýB—á³ZËÃ&=dœÈ¸ÇìkøÆ÷ç¦üÓô¾í‹§?éœf‡Ìî÷iÏx“ãZÞxWçÕ:9ð2ÿjù”§ZÝ„ù\‹ó€Ïä¿›?¼¯9—ŸÖäÆø¢vvÀGß?›èF?“¯fg0ã£æG…®ÉþkþLx˜×ê¨ôGÑ{õ‹ëºÕ18à¶øú"½ä[[?»:¥?û¿èó¶Ðsìm«ûÊüS\8=ÜÇ»Õ/0¿ùŸ©nzÕÎOù~ìýu¿tNyyäé ×-?î[½Öì¿Å9ŸHÿ)o˜ðžÎah½A湚ïNñÓ䧦¼TóÑc¿ÏqŒ›&½­xóiœÖ¼Ÿñý|¿Zó:àiëø~ÅÇO8‡`qÄ´Nôóc½ø´øãáþ<ÊO§ó…ë~Ë;ˆ7éæ5ú5û(p¬niu;G×ü§À›ôÙêwv=å¥Üg¡½VÿxWíEÕ‰÷jÃO‹k‰wã;ïàOè_úòã¾?nñÀŸöo,Þ«s“±‰_Hø`~|Ò›f‡ _À¡}±xPõãÕ¾qü8Bçûoû÷A›þã|êMàX0åÃ&Ç—ã›ÐÁy8-ãDê·é¥í—Yýµøü Ïê^•¯ðŽ}¶&O¿qý¯Ö윕Æ[Àcò“›|s½óÞUÛ÷x±ç;”{óÞ“¼Z>möRó ™×ê©ãºbû1®ù{ö“Öâÿ–w²ð±ýË›§u¡ÞOüŸö]˜Ï˜ÝÒ¸uµ·Cú¾Õ™,¿aÝÃö7'½¦ý·ú¦æ[lßôEëöovìr¾y¾í~qÊç,2=hß¹ü,nœâ•)Ñ:›Ì3Õã¦}§ NÅ¿˜×ÖÙδuÄx«ß1¯Öº‘Œ¯÷€—ùyØûç¼ðdgL>ÍŸŽu^é7ùå«~øÒ¯è¸ývÄö¦ü“òPvéÃ?4ÿ2Ñ‹ûíœÕ¹·f'ó|úþ Í§û¬™Wèkúüå÷üh~Žøä>襚?°ÿù&ÿ¦¼l²ÓfÕŸ.Ò‡ñ¶aÿ'ÔÞK&rý.ûÉÄ'-þ—©üî—ý{µwØò~ò»}wWèÓ<ð4¾KN¹¯Gûz¹¿dtMu£é¼Ò”‡Nû}æ‡Ì>ª|ây³›xnçt žæSÀÏòGʃåwŒW9ß pußg˜g²ï|žúô”OjüqÞ¿¶¸kòÿ“<¶xJÆSn™¿Œv“óê·É·W¦\´ú æQ?)øW]'t Ìû,ß×÷odþ?•ÃæßÑÚ¹‡ øhÞ|LO[Üùr¯+[¼1ÕX¿¶x¥Å#àƒúƒã÷÷ÿÂýçµñhÍÔ¹öô}&¿º~ÖÊÿ7^Ž‹‚·ÀoþâÜé4?bës <Á'ò`u«çZGë¹À«Á]|}o߃BkþÈö7.çYè§uFÞ—~Wë-®[m;8w|´Þ.ÏMê{\Èg܇ktä;Í?§ÿÊÿ-ŽºWY}Èâ›'üú ϛ߽š=oq1è˜â/ó'ÏüÆOÜŸâ&­;’NÜ/>>ï÷¯ê•ž8vøµ~ð›ŒG2>õÄäó9ï?ÙuÍsÎûýÈoî‡Õ}áKËód~‹×®¾O?Jü.Ûs<׸ϯÆù¥gßöóáÕÿÕþ¿߬ÿ|Ïÿ-8v¸M¾€WË‹r}Ü7ŸŠÓ€—í4½ÅsÆußâšy ×ËäƒëhyAË;1ÞänÜ·c?Â>¦§J‡à9Ƥó·| ã¦ÿÝáºX}Óìgá÷}??böuʬmók mÉ÷‡=^œôÇì´É¹ñÍÎŽÖíçÕxÇì'ñ®uùûïΫ¿ÆõÕ<»Õw‰Ï@‡µ÷ÙþÌÔ6ùå¹­Õ¾g»æe@ãPÁ›vy‰é›áiñ`ËH7æ›òHæíiÍŽ7úq¿ù½É^?¯)?§ÔüÏ#·Ì{¢=öç–—°MÿæÇ¥ßÕ<ØìÉ´n´{<Úþ ó™ý5ù£Ýºj?¦xÓì…Ú‘coM?¦ü/ðþ<³Ÿôþy]ºÿþã´Ÿhñé#Ÿ—Ù¸iÕêæiÿ¦8Éè0û:å—Jç)ýϽäÎöû§¨]ü-Ne?«hüE| /·çmŸ Ý/~Vï¦?Ÿâ³ó–o)}Wíëý¼Téÿôԓ)þòLÓgûŽb‹9^æië™: ú¾íϧúeû#àÃüÈü›åûº¯<¦ýê»æɯö:èUùbÝÒìñ³ÕùŸùËÕ<Àò«S…OÜ·nùç¾–?>Ý?ŸÈxÊö3Ìþ›MýÛx'­>?ï·c½×VÇšöÿ?ÐßLõ÷©~<ù…IMÏ-ÕüQæ£~åû%ߨ;ÒÏØ9ß³sϦS]s:ÏÓú_êµÅ›ïÑš¾0Þ¿—M~–x¼Ã>ð4Íkz;ÆgÀGó$À¡\’_¥—ÿ°×[Ü뜻øãº,ï¯Öþ·rªO¶:æ±8q²'–?•ĵõ·¸vÍò¯gã¹ÍWó¢>du _ÕW§ïïœrýgLûãû8Ãx[çɶxJè£}»ºï1ÅÁ&7†§Ñq‹Cž0Îì´é/ý¥ås-À÷͘}¥´:z‹[¿â½àü×´Œ#ZóZ]Gë§xnþƒã›¿žº±ø`ùz‹ÃÃÀ›â^õ7˜Wó/ܧÿ3¿ÄxlŒÿ…Þé¾åÙ“ž·¼Dú[¾7ÆÛÀkò·Óº™¢üûU8ÿ›}Í×ó],À7¡qÚ¹ãkvªÅ[Ä‹ó‡^à©úhpνߴ~¶?5ù{‹¿¯Ö¦x«äßa™ZÕ›c¿?ê àU?ü/ÜUyhq úY¼0ùm=—¼€‡úÒ |m½nÇ>nj‰7ÿÏÃê»­n’Vèò÷|/»Îë¿i?áªjvïóÒ[=aÜÕýÚÝøß–¿¦Å}ÕÛ´xÞìß±·­Þð°Ã}ÿ°Ã¿Ç2<Ÿê?“ÿ˜ö‰5Ÿe¿¡êÐʇÜVoŸÖ×ì)ã‹Cì<ŽÆG Kω>Ü¿š™^.×÷&ðŒßµ^_î¿GÒö•òxXžbëS~ ã§s G9›üªÅ=ÍoOÀi|çsôk|ÇüM^‰Þθœ£®ÿgâ|B¯Å#É7¸.Ô;Ö'´Ž~J‹çäË´¿d|Ô¸™pñÜÖñjËÚÑŽsž¡ŸåÿWëèŒ ¸Ïlqíî›b¼é•ÅƒÓ:ÕõOÔ·/â=ÆÉœÀ»õ[mÓ_ÐÙò5àq5ŽŸü6ã%“[•»Õ2Ïhñ8þ‡ƒô›4þ^¥?ãH÷¹ß¿Znöt7û€ñü«q”Å£VÐóÚ„'óò~Û×#ýœgÉA}g9ùäzŸ–ñƒÕA[\|®Æ¥•Ÿ,yñ¬³5{º¦¼ÝüõXG;÷çfÇÔÏ®û7ÎsÜoÍÏ”œÁî'^üÓ¸¤é;ð²|OãioqƘ÷’.Ár3åS½¹éÐC=kuAï·Šéy¸ßÏâ·IoUO÷¿æ÷É'ÍG9/áxÓMú@}²:©ÊÆ7øÜ÷^l©õÿǸ?Åc´/´£oZŸ¦oÀßꦭüš½¸–Çé¾°Ü÷MîŸÂ·8m¢·å;h™_3¯Ö|ó¶¸ê~Çý~jÏ¥U¹<þø»Çýçc]pµÍnÈ÷œ4Ï#~€kòcëÜìÑK¼9<·üÒüYÚ©þ×à.íóAÆ[e7Ÿ7ç|;Wañ»ÉÛäGõýyÜ×<uÉf7pÝòŠco¹/¢y ú½]õ‹[-›ômúþK{Ä}ú-«÷·ú鹟ömÕ~ÎÀ#^äðekñeá“ÿ#|±Ÿ›äüµÏúÍ_q=›<¬sJí|éþxÿ;f_§üÑò+³ï1~Ê'ȧ«õÓ?曶ÿ0ÙÕ«ûl“½¿Ê÷«ñ¼ÖÉ O<Ÿä[íáÙõ€ÿ´_4­·ù-Ê õçªß°ÿ%·ó’Zoè4þNû Óy»1>G«õEÂ;Ñ êGä¾å!–71N¸*Gg2Þçz3>yûú6ß3“yŒ«‡™œZžw5nßÂõÕ8Óäkª‹3ï¶xÁäöÿoùNðBK»?É í&ã:ÖñÌ¿Y½ô²ÜâÚìéµ¼gü®é7,>âÛ Þivô˜Ý7¿k÷Ç<­É¿ÙoÆÁ çrœÁyH[ÌÓö]d×7׶¯ÞüVú_ó7ÓwZœ ¸ä³î×|¿ÿ¾€Ú1ÜŸì$åÉâµß?ös|-o8@çã¾?Ïó5oùžæÿëYà‚Nósïùœx _Z¼ ¸6ÿ/79Z?<5“qc^#Ï9®é5ú7ý\-ë-G«Å¼“ü¾Æ „kp@ñÍðV;‹yžÐf¾¶ß…ù¯ÆSï°ß–~mø5;¼ó¼¾?…v²3´ß·çûã,ξº{Ã8Ú•?aÞ¶¿:ȧú_@o;§|XãI<·}Ë{X SÚ¾–Áû¾ïC7|NzMÞÇüÞã~“?ðü¦üL~·žó’¿©ŽavÚìÆ…BoÅõÒoÚ×iz <,~¶úí Æƒ2Ÿæ;€ou…Iß‚×í¸Çê žàÏ´yH7úOûV“¿íð5¾Nþ:õL“Ÿ§õ]8«ß˜ž4º¿Š¿\àey¨ÉÍä§Éÿ̧õRàÓì«ôWÿKü ÎpÝö×âê:¿Žçê÷e^˳GŸù‚'ž[½t²o-Þ=–GkÞHúÖõպ̘ÇY?<Ÿð™Æ“®É~X^Ùä#uVŒ3ø-næûcòi‹·­~©vôÓ¾¿Ôøò ûO ›xOúO¹b]±êÜ«ýg¡Ûüù?0NiuêŒû¼ï3^µm?â¸ßöƒþ£ÉµÐÕü&ðkïcóðœðþ7Õ'Z<º-ÎÕz$àVž%ý,Þ39iy6àš½´|Åè¬ù)gÇ>NíÛqÿùä'*î"Ëõ›ü›ú+ôÓ<Ïm©å+ëÚö¬îaë9ñùj=ÍòË3Ìi‰ý.ÎÓâ™ãþ¸–·p<úYÒ¾Ÿ}µžqù’¶iy~øMùo‹ˆ—ÐaùŸÕù-¼ªOÖ²›S7ÅñÇS¼¦uy<ŸôpŠ#nÀÓôÒü-ñ³uÒx˜ô –§[]¸å3œGèšð4þ¶ý«àù‡t™?·üÒâÖ¶?/tY¼­y5è}ÿãþ9¼ÇñöäÍÊ{ù=n[«ßØzsíðU<ío•çóãƒçÇ}Í?ðÜâ IŽí¼Õ#¿Ï´”1^[­ÕuF?Âïd ]§"kûp‚7ñ·<‚ãcwØ6yæ÷^óè_ó<ÜÇ·žÚóÕ2Nâ:·8ø[}ïªý›ìøåþ »êŒ¡Kà´úé:u2?ú·}¡w’OâU~ Ïsµ¶ß¦ñ ðŸö5Z}ý×¾Ÿ6æËÇÞ¯èx¾¾—<›½JËyÐfœo6¸£Ü[?â…çS½·íSZÚ7³K-_xž ‹ùKÎ#µøUð£ý3{Óò ´íü\“¿¶¯kñŸÕ©uŸý[Št­çŒk¿Rè™ÎAYÖêËÀƒu„É/š|NvÞê2mŸý0^ë%ÄSàX¼2ùc‹Ç,Îlû Cñ¹ˆÅÿøfGA×Oïô‹¿¢6{Ôì4æ™ê W냶dø(ŸüÕÞ{]Çu¿Î Îf73þñ¸ÿþÅ~^UëY¹¿ê„±÷îïûÒ¶:á _åÀ¿ý×±?§Òx ãL¿¯Ò9Õ&»dß“Rýå|ÇN¿Ú£oºë)o5ýjþ t7?ö°Ãoë›ï®~ùnËûçûtµüð&{Uß5ÞÃ|öÐ)?Ïó›Ìßüé‘yš~~ð‘~*Ÿëºþÿ–øåÿ¯Þâ:ÐQõ™Oׇô òÀIž´üÕ_ËùØü?íDËKq=ùá)¯»*ÿæ÷Ly„ÅsS}°þ'FèSù%þh­ÎcyïoŒñ&úQOÕÿ`~ÝŸùÚºœ¿guìIÿ¦ý-êcXÞ2Öå:x°nO{Cÿ¤x ¾ôלrK:>Äp&|'92ù±|œreßݘޟ™ÎOù½É¯õ›âÚ±5¸ wš¿ÙÏÏéýV^kÜxÞo-/˜ò¥Ô'ùÔ|Q蹚oµ÷!gŒåÚìþ pupcO™N³£˜ßè™ü÷¿ª#6ß±Ó7ísþVG à7å÷SœÓÖ9ý>ìçtÿäOáà½YûÜ–7P¾ÉÆ)ü^íKêzÞíU}|óŒqWù‘ù€?ÿG[÷=†û¶.z^Qžû‰˜ßâ.ÆUV_êWãi¬®izVq9ÆOûdc}á?‰¿Õ·ig¦º6í—É­»ÆQ¼/óš]¦]Œþ·ø ­Ú'Ü7ùšì™ÁåúßÖµæOë~Þ×PxßâL´S7æ Ú }­þËý(/µ¿‡óaö½µ©ž­ç$ ZÆÿŒ÷ÊïËw)­fõÖA¸¾ôÿú†Écû¾©àÑêX¹/ã4~Ç|ÓùæÖŸø>ZúWË¿§øÛÖ×îsî;ñýHÚSû¿Ý÷÷ó¦o5þàyøÂxÀâÌiŸrŠ-ßcýDëÖù®¹ÑÉû˜ÿ*]œÿ–ëÄ͹~¹ÿ¯å}æ/-jû)Ò¶8ðƒwöÅZ¾ ¼§øÁì>í£Õ3ÌLñ®}-ÿ¿y5®óH<7z”?€K¹xzÜßO›ö!&_×ü9æøkùBå·ÁðÍ_•ž Ü«u&³¿-¾"]€ÓâcŽ—ÖÆ™ž.‹[ýr]ßpÝätµü„ýŽ½ŸÉÿ¤çÙ—x“}vðƒãßÏmƉÓy9ÊÅ ”ó·¶Îö=»1Ž¼è ×™rRõ’<çü2oú1ã<&ß-ÿ•¶æ9vøï>Ú“I.Ô®`¾F'ðšê±º€û“1üTOˆ®›_BÜÁùÞóÚè þÀÏèkrÄëθÿ’q+œò¼ŠwV+Ï-n5?9å9§¼ß<ùW«·½_q$óKò·ÅÏh¯M¯1®ÑƒùhgÒ¿é{ðy4yny,ñÅü­®xÞï§ûjÄóÑ›}âØ1®ÃuűxnïÍX|×Þ£JktàÚüÊTGšö#©ÿÑ'“»[à|ßÏÿŸð?>ïñœß/|ù= ¡«ôt¶8~µ<Ÿ?‡jòŠûSœt5){hý€¿Û9ÉÛ$çM>ØžŒ¯ïzà¾òGæã9cþÿõ”'Zý‹ëHù¡Ÿô’ù€å3‰Ãí½cËcÞà=Ó&·Â‡±E[—)ÿT¹ã¸%·©àZRóö¡?ó߶þë¹Å´o´›­n$m{O(u*|gŠ3[^ ¸·»ÞNõ+¹ÎsÀ5<îãà¹ÚÀëmˆ;[]ñ5Þ/#<Ã{]߀‡å ¬óÕý{Þô=ÿ«ÊùѶºDÆ?ü¾íUéø0Ùùâïçž«ñ ×å/ŒçzX^Øö•ˆù ð';9ÙÿÉïs?Ôü‡ùª³¿ïG}¹Û‡£¼Ç¸À™äj²åÏó·¸>ðvxS½Q÷ˆÿ0Þì>ùqõÞ¡×cÝ—ýq=æ€ü¸ŸSuàiõÊú>ynïãŸîÃoërî×æ÷5#ž€gù&ãÃq?ÇZÌËóP„cû´š¯î'›=£¶¼p[^¶î“ÏɨÇOè×ôCð%ßÌþki÷ƒ/ÆŸ†/èQÿ‚ûZg#þú©_M~×uÎÃÒ¯˜üPuÿsÀÓìUÓ§{ü;ÕU‹Oø?c«çR^êœÌ—º†Ú™~‹¿l>å#éYmÅøÿÂ:§ð}ç§ù»éý êÿi³µn'ôsÞðƒy™ÅÔ—fò½ÜovZà±. úûr¯k‘‘+Æ×Y§zoyË´/`v†üμ¬ÿ¶¼ô“οbü·‘Žq]N¹Æ<“ŸÞ£´¸Yãûáù{ø5“÷wówSjuz­#Ý”Â+ƒ–ëÙäØæ#]Òoò×S\Öô^æoq—Œ7>[¾ªyÛjm?€u"Ó£†ááºé¡á/ôØ9©It_ö¸?^í0ç ¼ó~?®§ÚÁƒõd‹¨Gö~Y«ß‘.â!øßä9ãSÖš|žé/í¡åfÌn™¾Ô|rŽ°ÅÀÏú·z]öwö~µ.‰{~îß37=d¾hûäß´ÞÜnñ#ú[:å%cýÁ®Ñê>¤ŒS?ˆùÌOhþ˜þë¹íGO~Êâ{Û§´øðھхÖì¾ÕÁ®)¿™ä¨åcèO{eû¦ynq‰Ùuêõ”Ù95ÎC9$\®_Ãã&ÿ1Õ“™¯Úþf‹¿1_Áã8¶xÞöÛqÝüæ×ûûÓwb,°}Ûq¿?å„õóš`߃ñY“‹‡ùßö´çЮ~”[;סñ3Ÿgüqÿ¾É—­—î œiÿTãoÁÏôÊÿ¦–þÛìÅèw‰î¿ÿò øb>=_Žþ-~xþ=¾ä·½ïÒâXÌ×ô˜ø¯û–ïXÝÆä£Ùsï?ÅKWý>ë.š÷Ÿco›¼ Þ-N^ãiç,_oú 8M¯çØç±øeª×Œõ¨À9î÷g<üýé¿loÇ>^ó<à}µÞÏøÌú_µŸùnSí·?ówj7€Ïôž=÷§Œ.‹¦¸_õòÜç¿÷ñoú”~ ×ÞsíZê±ÆIë\×»÷ëȦ­}ÓËɪ«ËY<Ùì+ùü,³}ò“çé4®[-÷µÍ_q¿³Åý ŸögŠŒO?ZŸpdœî×[oîcŒõ«ã¤mã†yF»zì­ùQó;º¯‚~ú%éoõ6ê훕_¼Ç{‡“ŸµzeÉ ç•kË›'»F?Ãø½Õ#9Oð=öþ–W4¿oø£µ8Èâÿ&·<5ÿÀøf§­?îÛþDã#é:ÍÏ·¼Yèç:š_mñžÐG>µú2žß_ãKÀgmõ–ÀO½eœ‡ã×8‹g§üƒ—ísÑ/S?òܾŸhr:åwŠZ³c¶Ÿ¤ï‘ >g˜,¸÷Ÿ[œdþ'm«Ó“®ÕÞŽ½³·™xh>‡y&{0å·Í?žùuý®$ñWëTª¿xμ¨C$}çN‡å'7àWç=Òÿ Þ{Bÿæ7>H€ñ”«–‡.çirîó‘¿ô/MÏ9ðŸò­O_yÎufÝÅò#Ó§1O4¼€Ç˜ï{ÿé<Åoš¡_ù1¡—q¾­“í{Lñ¢ó·x´žã¦ó-Þ9w<¦õ3;ßüàè~ æ±üMí®ÀÕz5æi~ ãó={‹ƒÌž\­#ÿZœñ€ùÐOë2¡x·8ô¸ßÏìÁd÷L>4?[×ô‡äëij'ñ|â·Ùkãk£ð­®?æÀgqåä&pšýÃûnùþÔ/˜ŸnvùD¿uM{ÔöÝ3NÚæ§?³Ó9õ–˵Åv.ªÅ€«v…÷q­û ¸žÌÓ¨Í Ý–ï3~¼}Ø¿Ÿ qÆ!-¾?HÿD=Ô¸í{ô£Ùÿ·ÚºXÚ¾·“ïlçþ§ûf ¯á›~ «äƒÿ7„ñmÌWöøÛ¾OÚòòeÍû&ß1C®ô!ç¯Õ»^ïç†3¿eû„&¯”wú«¿›²øtª×Ónšß1»–þíûýègñ¾åAÿª¿"½„#øXbq¼Õ_¬^huÁIžÍÏØ~þÿ—½»*Ùº̸ÏCˆ{ˆBBŒà„lÜÝÝÝÝÝÝÝÝÝÝÝÝÝÝç_ {Õ«Oõ9¹ÿ7ó<ï훤ûXUí½«Nw×OB×-xßÛåßÿþLÜznh,#Û×x“Ò?cŽ;v$Çš/†úkhþ¬ge¡vÖëŠç¡ãÎ#e¿)ë§íÓn_×óCëB±q-p\qãVã‚öÛà¼O·/û ­[¦ä±}¦}>ó‡Ž×%Ûç%ÇZO Ö×çéu ]G~íRö¹§Ðx í?î{hõ÷¡ùTÜ}ƒP¿}>eÙó–±ÇÐû\BqOãp¨¾Õþ“òï ÈyðóKóó‘ò¼Ðu ½¿0®‚u—œgÜ<\óÖ/®ž’ÏY†êÞ”õo9ÿeäøãæ9¡õ¸¸Ìç>¦Ô—¡ãÞgÚç×CôüöIÿ÷¸úTë¶ÐxI™÷Éþ“Æi¾~™Ðvy\ò÷¸ŸãæÑ:ˆÏí3íóBq^ç›q×!%/Êch~ªŸãæun^ÈçÉñ…âAJ}"Ç­¯sŸC_hý"˜Ïå:„â¬öC/¡þ7¯ÑqËçëy,Ï´¯Í'Üñ~ýïQ¦Ô;òº¸<:o÷¼@^‰[oõ÷¸÷Ϥܟ–óI©äù)Ÿ/‘Ÿƒó1=þ{ìy×Ëú…=ººõži·z¿„«oçOzÿI{Pðó |žþ]/OY_àññ8b^ÊG¡ûz?I·“rTžª‚ëòz½Áy½ŸlO÷ŸR_Êc(_×ßt»½¦ý}ðxõïò3û¡®»„êµPý™2o•ó‰:Nƒój=>Ý¿üŠ÷quTè{?Cy•×1ÔRê;=Oy¾Ûþ=ÑÇ©uwJìý˜÷ä8Bõ{ʺSàøc×sÛÓýºq¥—ó öO=NÙ_h¾ÿËØã²ú÷Ðvä¼Ý¿“,Ç7wyÛž—r]ç7)ýƒÇ%¯wßûeÏsï£ìOã`h^¬³å|Bóþ~±Àëõ¼—‘×¥ÄOù»^ŸP]ÏïgÑõ®¸<ß´>ŽÐ÷çqòï˜ÇΧä8Sþ½%{Œ›éç!ÙO\ûn4í¿c\—Ðíëy&ü½®§iÜN™¿î3íy»ùî>Óþœ²Žlî߇ mOö—/BëeÚORâ¹îG·Ïó ½>p<Áø)ûÑñ•’·¯×:8å:Êó×qÜŽ¾N·§¯×ã•óˆ[? õË`ÿ±G¶Ë2|l·çõšöùÁ|,qq(ÔO‚ïÛäþx<¿‡ê¾P»Å½?@;ôï è~Sú‹G(îÇÖÜOà|ƒëq²ß¸õàü_·+ÛÕ'ÁºZöšo%Ëq÷!4^dzl/éýÚ¤çœWÉþ8——í‡âQÊ<ûúi¿?Óu>†æÉqq<ô}¡|âÎ[ö—éy§¬ßÈó‚q2ðwž??ÿloÙ^\›t|…¾9Ô¿5ÏêzÖ¿¡ù{(¿Ç·d?¡q®õN¨n_Z~Öçñ|SÖBûÈñ‡Ž'f¿quv¨Þ õ—ÐzZp¾ÕkÚý¹qÉÇÀñ¥Ä£Àcðþ!_/ÇÛ¯õyzþãˆËçÁºI_'ÛÓ÷¥/%¯ Õ‹É£îGãmʺ Ÿ·OôïSÚ£Ræ1ܯ^ÙÎ2º]y ­WÅåÕຩO×9Bó>¡x:®`^ÕçÅüÝßo,ǯã\Ï/”oSæeëàú‘|¾O¿ï98/Õó‘íò{&ƒùS^ì÷ú|yö7=N·ŽmçÉï™ ]'‡¡ºJ¯wèüBë´ú¨uB°½BÇz}à¸t¿Z×óºÆ½Ÿ!´NŸ2¯ó·`’ó Æ=O9Îà}o=Ù®Þ—±ûáq†ÎO^—R×È~âò¾^Gç)ºßÐ|;ßÇ­ÛMy¿€l_ÛAs)ù÷ôø~ƒÐ¼!TÏiýâ>Ç'çôs¶qõWlž l?ÔŸSâ‡l7îïú¨ýÜÕEÍÓ®…ú}hü¤ÔßÇ­ïôšöøãæu)×w ùªçRêi9o~oXh=Q×¹R¾?[¶¯×#4ŸÐýh¾‹›O…ê-]' ®7Êc(.¹ó‘ý»u*y}h¾Éû›quwÊve;ÁöåÏíÆÝGõË”<%Ç‘¸NÐól_×ËSê=NÙŸæËeåyqõJ¨¾ ­÷¥Ô•íj»„âc(Îi| ®óÈÏÁ:UŸø{J•Ÿ—é%çÇãÛ'úçPÖ똲?îG^Ê)qÆþžrÝíQßÇZŸãù†>¿z[p~)Ç£ñ$Ô\}ø{Üø ÷”z³×´)íÜn¿¯œö}#¡Ÿ1nžªƒƒóéÀù„ÆkÜüNû«ÎCõûþuý/ôsÜýàÐz)¯ß÷î^ß>íëâêÚP^XJ~Kþ=ô~ÇP^OɃ|¾l'ný)%Éú†®Ÿ$¾!Ï ýŠ—Z„â{p>*Ç¡õ–ž_¨.Õq¢ãXÏ#Tïi|Ñ߇âBp^#¿×몯bÇ…¼^¯‹ö×”v’ŸSò÷§Ç:_yŒGôŠþ{¨nJi_ÙNâ<ºOôcÊz¼Ø~r~ZçëïSòqèg9ŽP¾qíÃ÷sèñÊþƒõ¨<Æ—žg¨?‡Æm°Î’íñ1ôù~þ7X¯èyð8BÛ“×-Ûžþ¼BõiÒ8¦ñÂíŸß¿ÍíÊu࿇àþ½Fþ^žßÕz9ÔRæ[òïÃשÛKÿú{^—}¢Ÿ¬çå÷‰ÏGu½<ô9™`¿–í…^×Õuظø?R湡×÷šö1e¼ËóCó©Páû•Sò®˜Ï ÍŸu»ËôšöùIïgèø‹».q÷)x¡zF×Bí¨ã?Gµ^æAn—ç'?kÿå÷kðß«Ž‹—)õ‰OþîŽ;To÷šöõqn*qý'X§Ž;t}SÖod?ú9¼¸|êO)yXŸ/¡ú)4nRòb®ÌÛô8íQÇ 5¾hÕzQÇ]p¾)Ç[¯êïõùׇ®kÜü7ؾ<îÀë‚ërÜqãõü‚u¡Ÿ¾^ž§ý5Tÿé}±Pr¼Áõù»ÆI#q÷!t^¡uQÜ:ZJ~–×/c?kZ Í“B×U¯‹ë÷÷L{¡z ô¾ô¸yˆ^÷P]¯×5e]4p¾)ë ²ÿ”8ØNpþ(Ï×x®ñ*i]Œ{²¿Ð¼2å¸÷™v{qu°¾>åû+ìQÇkJüàþuú3?¿8×¾zþòû¤ñQǹÆK÷~9Ÿ”ü¥Çk?ë<5%Èë‚u¿ì/å{ôyrüÁíÉ}‰Ð÷>…ÆCð:Êñ†Ú3éü!—d{n’ÛÕýÊÏü{pÿrœ¡ùÆ2½¦}L‡òüP=Z‹I¿¯AÛ'XÏ~Nùþ}=Cþº¿Ûoí±«ë*¡~Z·w¯‹ù¾†Pÿ ÝÏpõ–í¹ùDÜ£œoJÿÕó–íç‡1›ÆÖ·ý$­ßô:ÆÕO¡y|ʈña|ácóIŸFø >Oà ø²‹¾‚¯=ßdàÛ„¾ßwÁø1ÆOžŸ=¿ü*~‹ð»øcZÝŠwu8-=çOÏ_ž¿3·@¯€Ù20{æsÂ\ Ì=Í0o„ùæO` š…Nc‘½Óè“Fß‹ô3Y¦†²»!'Ü å™ü„ "Š¢ {J<¥¦L”G¨ˆ0  2¡*Q¦ñ+hPÏšæ8j"ÔvQ]# J£>C =`04š¦Íj­†$Ðah††e`x#"Œ4£"ŒŽ0&v3ÖÓaœ§ÆG˜`&šI09¡Å",°„Y2¥Â ð’y^¯&ðšçõoDxsÚØ5#MÙ÷oyÞ6ï˜w=ï™÷=˜ÓøÈ|á“>õ|ð¹ùB|™¯"| ߈o¾ó|ïùÁüðS?{~‰ð«ç·4~7˜¿ÄßS-Ø f‹1»˜#Æ\æöÌã™7Æ|bþ ,àY°- ›Ez›>1úŠE#ôód‰ì9"WäA¾§P‰bQ¡´”§šYq2êX¬ð ðTB•§: ÆSP'ŠAP¡!`°i hÍ-¦5`ˆ§-`( ÃÅÏ(Ïh¡=¡±:̸4:ÅxÏ„€‰f’™ÜK` ±¤XJ, ˘e#,—`EXɳ²Y%C«ŠÕ"¬.Öð¬iÖò¬Ð:f]Ïz ­ŸÆil(6‚Øä_3Ià3Ïç_ˆ/SEÅ°D†tÏ‚_y¾ø&CßšïÄ÷ðƒù~Šð³ù5à7ó{BxþÅøûŸ=D› fs&0—gîóˆyÅ|bþ ¦±pŒE<½EÑ7`QÓ/B–§¿'Û““FnŒ¼ùžS£ÈSì)é‚RSfÊcTÀ€€JSÕžQ¡.Â@1ÈSoÄà€Æ4šš=-¢Õ ù—ûlêöÙNÎÐ)]÷O¼lëC3ãŸûBCÓ&FtÁÈ€Qb´¡=ÂXOGÀ8è„ñfBB#L“ó,.–ˆ°¤XÊ,°ŒgYÏr°¼XÁ¬èY VŽ°ŠgÕ«EX=ÆkzÖ X;u̺i¬°AÆØ8¡M`3Øܳl™ÆVž­Í6°­ÙNl°C„ÓØ)`ç„v]Ån ínö0{FØ+óøöa†'4bª)ûžÆÞbϾiìás`Œƒ‡šÐaæp8"#á(stÇÄ86ã='À‰ž“º 9{¡S<§zN§Ãiœi΂³Í9pnBˆ ÍE.Žp‰¸4ÂežË#\áJsUÀÕ暀kÍuæú4n7š›ÄÍn·šÛ<·ÃîwyîÎÀ=ž{Å}æñ y6dèQóØ¿·f´…OÀ“æ©O<áYñ\Àó^/Š—àeÏ+1^ x-Âëæ ñ¦yËó6¼ïFxÞðA„#|Ã'ð©ùL|ã‹_ÂWækñç[ñ]ÀæGÏOâgó‹ù5à·¿‹?"üã/ó÷¿î•¡Ù<³ÃfNÏ\fn1™×Ìa~X a¡I O†úšE#ô ÈJ£¿É¹ÿšYqrá¼ù¢ÀS(Š<Å1JD©)‹Q.*b 0• TAu„š4j=u0e Þ4À`Oc„¦ 4{†˜61´ †™áfD„‘ 6c =ÂØ0ÎÓiÆ{&F˜”Æbfq³„g©K{–ñ,›ÆrfyX!Š3ØJž•ÓX%ªfµ«‹5Ö4kyÖŽ–ÃFvèäþÙÿ:°.¬çY6€ ÅFfϦ masØ"­<ÛtѶÛ‹ÌŽiì;{vI`WÏn°»ÙöLc¯nÚöñìÛû™ý=˜= ‡D8óሎGë9.ãá„4NLà¤p²çÏ©žÓÌéž38Ós–8;Â9žs#œ—Ðùp¹0¡‹¦Ê$¶EÝ5ܤ‹#\p™çò€+"\å¹:kĵpçúéä¸ÑÜdnöÜâ¹UÜãv¸CÜiîꢻÅ=æ^Ïýð@zÐóçaó ^/¼á•€WzÍóºx#›ž·"¼mÞ‰ð.¼—ÆûžøÐóI†>5ŸMÕÕ8×]ÜŠÏÅâKø*¯Å7æ[ó|áñ#ü”ÐÏâϯ~7ÀŸÅøû_‹ô‚Ùf˜æsyæóxæó™ùŒ°X8`Ó» ú˜¾Xú™¬ý=Ùžœ„ò ß@a„â%J=e¢ÜTˆžÊ4ªª3PÓEµ¦&0ÈÔ4˜Á1§•6ž™~iÍžO«¡-ÂP1,á Œ0#a”-ÆDh‡±¦#`œé4ãÅÏD19Âbfq±D„%ÍRK‹eºiÙË™åÅ 1V4+™•#¬«šÕ`õ„Öð¬amX'ƺf=Ø6Œ±‘gcØ6M`3³¹Ù"–ž­zÐÖ1¶ÛšíÄöfØvòìc³«Ø v÷ìáÙ3™Ä±­½g¹cØ+`ïûì/ÂAžƒ3pšÆap¸9"‘æ(8ŽIàXÏqæxqœ˜ÀI1NNè” œ*Nóœá93³8Ûsœ+Î3ç› ºáB¸.¸$KÍeâò®0WF¸J\í¹Æs­ç:qƒ¹1ÂMºn[ÅmžÛÍîLã.s·¹§îõÜ繘VOÇ¿ÄqrÊþ x(‡#·sªç4Ïéž3 °bŒ•"¬œÀ*fÕ€ÕV°†gÍ€µÌÚÝ´ŽgÝ€õZß³A„ 3°‘Ø8Æ&Ý´i†6››-Ä–b+³uÛx¶M`;±}ŒÄŽb'ÏÎfØvK`ØÓ³—Ø{Z3-NNÙÿ>ž}a?³„b˜ÀAæ`8$C=‡MG‡{Ž4Geàè€cŽÍÐqÝt|„Ò8És²Á<ª÷©iœ–Æiœá,8;Æ987ÂyiœpA.2›KÌ¥—Áåž+Ò¸² ® ¸Úsm×%t½¹¡‹n ¸iªÈ8ÖÙEã“ãþSÜì¹nMã6s{À=ìNs—¹î{=÷Üð€yÐóy8˜G=™Ç#<éy žÏtѳðœy> ž»è%ó²ç•nxÕóZ„×x#àMñV†Þx'wxÏó¾ø àÃ4>Šñq7|’À§ð™ùÜóE„/¾ŠðÍT‘qlB„‰=‹ûïý­ç» |ïùAü(~1¿šßÌïâñ'ü%þžªO/ÏlbvÏÓÉœf.ÏÜ0¯g>Ïü1HcA³YXôîA}"ô±¨é×YiôÈŽ‘ëÉ3ùž(ì!EŠE‰§42Qî©0Ò¨L£*Bµ©…ºƒD}75¤18UÆ¿I Mƾc4A³§%FkC"´ …a0Ü32Q ŒŽ1Ú»a¬éã: rbŸ bb“<“#,añKˆ%#,åY&åZ¾‡¬àYQ¬äYY¬"VMc5±zŒ5ÄšžµsÀâAÏCž‡Í#âQÏcð8ô|d>ö|ð©ùlZIãZOÓãè’ÏÍ=ä+óuÀ7 |ëùÎ|?Dø~¿DøÕó›ø]ü‘ÀŸð—ø»W¯¾½f3³Ãsf`.3Ìë™/¡ùa vÓB°°gOoÑú¦±hýD–§Ù&Gäf Ï“¦0CE¦8 ÄSšFY†ÊE…`*=UP-j"ÔÂÀT=—J¦ï O}„œFc@s-¦5¡!jC=Ã" ï¢02Æ(Ïè€1Ðރƚ':Æ› ˜˜¡If²Y,Ì—úb~ÔwÉ–ò,-–‰±lÀržå=+$°bB+yV6«˜UÍjžÕakÂZXÛ¬3­ëYϬcφÿrŸÍ9+ÂÙæϹ œÏÅÌ¥§£eRõÝÈll6ÉЦ°™gs±…Ù2­blÐ6f[±l;ÄØ1`g± ì*vóìnöHcOÏÞö ØÏìŸÆ1„ƒbœÀ!‡Å8™ÀQæèn:&±æ8ÏñN€á¤4NŽpŠçTÏipº8£›Çúž•ÐÙ1­ï¹ç%p~„ à€‹<›KàRsÙ´þ‰[ËÎxÿìÿrÏæJÏUž«=×D¸6ëÌõpC¹ÑÜ$nNèVs›¹]Üp§ç®n¸ÛÜã¹WÜ÷Þ»áax$àQx Oxž„§ÌÓðL†žõ<ϼ/Æx9à•€WÍk¯‹7Ì› ¼•·=ïˆwá=óABÂG]ð±øD|j>ó|îù"Æ—â+ñµçómªË%Ó÷;ø>Üs„ç(s´çϱæωNòœlN§zPgŸîA=œ}¦ç¬g‹s27Óâ$júlÔôÙÔïÙ›KÌe.7Wx®ô\%Pg£ϾÖs]jóì=7ynö Ͼ5ÂíâÏæ.º75o6êÝlÔ¸Ù÷Þ=y6DxÔƒz6ûqjÚì'=¨k³ŸxÆól<—Àó€z9ûEó2¼âyÕ ^Î~£ ®Î~Ë ŽÎ~G¼kPSg¿ŸÀõu6jäìOÅguröž/=_ ÔËÙߘoÓø~ÈÀ~2?›_õsöïž?Ò@ýœ:åe¯œÙÌìæð .ΙË3·™æóyP'ç,hò .ÎY$½=¨¡sõôódý+ã·V†ÖŽ–Ó_ –ÏÉ1¹È÷ ~Ï)4E¦ØSPšF™©0<•¦*F5ÔÔÏ9¨™s‰zÑ`›¦¨sZ<¨‰sÚ" 6ÎÃÍ3Ò3Ú ÖÍi7cèðtšñf‚™è™d&ÔÇ9¨‰s–LµrÎÒbϲž=+™U<¨sPóæ¬áYS¬åY;êáœuÍ5mÎFÔ·9›˜MÍf  ÆÍÙÊlíÙƳm„íaÏŽ;™Í.°+ìfv7{˜½ÌÞ]°Oû™ý jÞœƒÄÁPïæ ÞÍ9܃:7çHs”瘎pÜ¿Bq,­uºÏ?†Ç vÏ9Éœ,N 8ÝsFBgzÎòœíA-žsžç|ƒÚ8µqÎE€Ú8çRs¹ç Ï•µoÎÕžkĵÔ¾9×{nˆp£A-œs³¸%à6s‡¹Ós—¸;jäœ{Í}µrΊð°y$ÂcP+ç<éy* ÔÊ9ÏÄx6Âsžð‚A}œƒú8çÏ«õqÎëunÎ[Pïæ¼ð®ç}ÏæCó1|õnêÝÔ¹9_Ôµ9_Ôµ9¨]s¾ðƒùQ FÍùÙüjP§æüaþLà/ów<”LSÍ&æˆ0—˜[ ®ÍÏ †Í] gb^WLÙwî‚bOï.èëYTdÔ­¹9ž\“g jÑÜbƒš3·<êË\Ô•¹•¦*Bµ¨‰P멨=s™zƒ:35fnc Ôœ¹Íi´š6ƒº3wx#ÄH3Ú &Ím7c=¨9sÇAgŒñf‚˜€ú4µi.jÓ\Ô¦¹KzP‹æ.c±,+Ô¦¹+yV6«ˆ5ò|"POæ~n¾0¨%s¿ö|#P[梖ÌýÁƒ25dî/Ô¹¿›?ÄŸ ý5J˜^y¨óæ˜ÓÌå™;`ϼÔyóGsŸÍ¹pÆòcf¤õ2´~®jÛ<Ô³y yŽ€:7¯·§éëAíš×P»æõÔ¯y9&× Ñóò  ÐyP×æ•šrSa*=¨aóP£æ¡6ÍC=š7ÈS/Ì`ƒú3¯Ù´Dhõ ¨Eó† ÷ þÌiFjϼö.@mš‡3ob“ jͼÅ<‹Ãž%#,åA™·¬Y΃Z3oE³’ge±ªg5XìiÖŠ°¶@‘·®Y/ÂúfJGý™·‘Ù؃Z3o³› Ô™y[y¶1¨+ó¶ól¨-óvŒ°S„]v»‹=`Oƒú3oo±ìëAí™·àAÝ™‡Z35fÞ¡1‹€:4ïs¤5`ê½<ÔyyÇ›<'š“¦š³fîÿ'Ã)æTqš8Psæ•À9æ\Ïyžó=Èyy.†KÍeærs…¹ÊsµçZq¹QÜ$n[Íí¨#óî2¨!óî1÷šûà~jÉ<Ô‰y‰‡Í#âÑÔŽyOxž4O Ô„y¨ óž÷ Ì{ɼ,^ñ Ì{ͼnPÓ塦ËC —÷žõ[ÞæCóqÀ'æSó™5\ÞÔqy¨ßòP³å} ßÔky¨×òP¯åý ¨Õò~ð›@—‡Ú-ïOÏ”Úìï©–§B–?»™CÌå™ÛÌg怚#!ƒÚ"ƒº"5E>j‰üEE?ê‹üþÔù9r=8‰ü"SâAM‘_å¦*jŠ|ÔùužžA¦Þƒš"¿Ñ44 Ôù¨/ò‡˜¡1†M5³â$÷ŸÚ&„Am“?Ê3Úƒz'¿Ý3:=ã=j™|Ô2ù‹ Ô0ùKŠ¥ ê”üÄŠf%³rÀ*fUÏjžÕ j˜üµ<¨WòQ“ä£ÉG ’Ú#Ϧ°™ÙÜ æÈßÊl ¨7ò·5ÛyPsä£æÈßv»ê…|Ô ù{ ~ÈGÍš!µBþ~žÌÁžC rz>rz>òwþÑžc2tp’9ÙœbNóœá9Ó —æŸá<<š95ÿ"sq.ñ ÿæ#çæ_a®„«ÌÕæs­¹Îs½¹A ÿæßp‹¸-ù8ÿs'Üe—ó‘“ó‘óïóÜo0z“ó6šÇòo>òmþSæirnþsð¼çEònþ˯˜WÍk^7ÈÅùÈÅùo™·áónšX¶am”Ì”}Oã}ó@ÿ|lPä*>3Ÿ{Pä _Ôùßx¾5߉ïÅõC>ê‡ü_=¿‰ß j‡|Ô ˜º§šÃƒÚ uAÁ,ºØsI—šË<˜Ó!Oa>[tAþ+ºÑÜ”rcÑ-äÇ"äÇ"äÅ¢»<÷Ì_‹È‹E˜§=j0?-zRÃœ)0ç*>Û Ÿk΃ó=ÈÅÈÅÁ%ÄüâË=W˜+=W‰k̵p¹Þƒ\PŒ\P|‹@>(¾Ãs·Á\©ó¤âû=FxŠóóËJÔI•ÔH•ˆ-•Gy0Ÿ¬<Ö ÎTb.Y‰XS‰XSy’A¼©<ÕœfP'U"ÎTžg΀¸S‰yc%ê¥ÊK bOåež+"\ãƒ9g%bT%æ‘•7zn1w˜»<ˆI•÷šÍCæ1ƒÚªò @ŒªDŒªÄ<³qªñ§ò%óšyPOU¾ð¾ùX ÎT~j¾4_Ä”JÄ”JÄ”ÊÎIqrÇ©û®F,¨F,¨F,¨F­RxP}…À|©úÏõæf¸ÅƒØP}GbF5j“j̪;ª;ª;ª4ˆÕbE5j“jÔ%ÕO™§ âG5æKÕ/zP§T¿ ¯Ä‹ê·=ˆÕĉêÍ'±¢ú ó¥ùÊ|mªª¿ð£ùÙüMU3[̃jæ0sÄ‘Ô25 šÞ±¤õJM ^©ÉÄ–š\ƒøRSb[j* æ<5ˆ%5ˆ#5uq£sŸš¦-µG bGÍ0ÏHÏhƒRÓa&z;j'j0ǨY ިAŒ¨YÆ,+V+šU<ˆ5käëšÍ<×5×5Ûzk0¦kv‹°»Ù öö × ×`0—¨9Ô`>Qs„9Žñk›kN0'y“k0Þk0ÞkÎöœc0¯¨9ß\$0.k0Ÿ¨¹Ì`,Ö\éÁ¸¬Áx¬¹ÅÜá6Àø«¹3 ŒÉš{<›5˜=£5ŒÓäôš'ÍSã´óˆŒÓÌ%j^ô`¬Ö¼ìAÞ¯yÃ`¬Ö`ŽQƒ\_ƒ±Zó¡ùØ|25fed§ž1eß5ˆ5Ÿy¾0ˆ5ˆ5¨#j¾3ßÔ5˜ÃÔ .Ô ¦¨A-Qó' 6`hN q¡± ± ± v>ÏćZÌojö þ¨íc/jûy;j7j/jQ“Ô¢©Å\¦¶Ì”Ô"µˆµˆµ=ƒL½,0©E ©Eü¨EíQ‹øQ;;j3j1o©ĘEÍQ;ÎŒ7`¢™äAíQ‹8R»¸A ©Eì¨]Ö³< ^Ô®dPÔ"NÔb^R‹º¢v=ÏúõD-êˆZÔôµ[˜- âH-jøZÔðµÈµ;Ôñµ»ÂnÄŽZÄŒZÔµˆµÂAžƒ=‡Ä‘ÚÃâG-bG-j„ZÔ𵧠ČZĈÚs=çÄ‹Ú 1¢öƒQ‹ü]‹8Q{µ¹V\g®7¨ëko27›[ òy-bG-òv-rví}p¿A<¨E<¨}Ø<æyž4O{jŸÏÌ j_ˆµoÂ;æ]ƒøP‹\^‹¸Pû‰Á8¬EήýÖó½ùÁ 7×þn0k1kÿþWÝlc±nƒñX7Ì x0ëò` Öõ1ý Æ^]ŽÁø«C¾®Ãø«Ãø«Ã| ®ÄS ‡u‡u˜ Ô!‡×!0ÔÕŒÁ:Œµ:ÔùukukuC<ÃaŒìF¬Û¹{¦ì»ã½c½µAÆzÆyÝ3Ñ`|×a|×a\×-m–‰€q^·`¬×a¬×¡.¨ÃX¯CMP‡q^‡q^·N„u=ÿuûu˜ ÍFfcØTlf6÷ VÔa>Q·µ@íQ7åÜw1ˆu»™=<{ÄŒ:Ôuˆu‡y÷ Î¨;ÒˆuÇšãæu'xKêN6§ Ô"u§›3á,s¶A¬©CŒ©C|©Cl©»ØƒøRw©±¦±¦î ÏU5IÝ æÆ7yPÃÔÝæAü©Cü©CR‡T‡:¥õIÝ}1¨î!ñ¨ç ó”Aü©Ã¢q§îj“:Ìê^ó¼oÄ º· ꔺwÅ{æ}@ÍR‡ØT‡XT‡º îú 1©îç¿zþòüj bÓÀ9=s™y âÓ@Ĥ˜G D,ˆùÃÀ"bÎ@Ä›ˆ7+=UÔ‘ó6ˆ?›ÌpâÎ@Œû÷1îŽó‘×bÜĸ¸$`lĸ¸²YŬnÖ‰€ñ;pC³‰Áxˆ±:ãsàVcràö9}àNctàîÞgs.ê!‹K<—þ«»q¶«¦œóÀ= j˜û˜ýµÊÀC<¨W" D,x¤9ʃX4ðDs²9N5§{0ÿˆx3±f ê–˜‹<¸^/ó\áJÏuÔ,ï0wG@̈šeàÔ,1ˆ81uÊÀ§ bÄ@ĈÏĆ˜· |Å N DLˆX0ðmó®xß`ž0ð ƒx0ñ`àžŸÌÏæƒ:e ê“ûÿþJ€^ƒf7sŒýAs™¹ÍnÔ«¹£}º}¹y¡aÓ[ Ï6 ¿6dC`Û€~ÛPhŠ rCC 74Ty0wm¨7ØqC£Aßmhñ´äƒäôåôå†ÑfŒéðŒ3ufÃ}¹}¸}¸ý·ý¶aUƒ~Û€~Ú€xß°%l;˜ âLÃ.ôÏÄøôφ= úiúgæt ‡x0¯k@ Õ€z©1¼áxq’Aÿl@ÍÔ€ùYúhbyúhÃi ï6 Æ7\Ö31o8¿Ùw×€1Òpµ¹V\áfƒ1Ó€ÜÓ€qÓpã¥á>ó€yÐ`n×€1Ó€1Ó€9]j¶†§ ÆMà æe@Ö€­ó¶Œ›†w=?  Œ£†Ïá ƒñÔðµç[@MÖð;üaþŒ'L‹z žÃÌc挩Á?ƒ‘÷K Û`Œ ÆŒ16ãkp±Á|mp)TäƒÁSƒ›¦Í€15xHÆÚ`ŒµÁgƒ1ncž6ù`ðd³„YV` Æ8¼ªg5³ºYà  ^Ï`þ6µÖ`ä‚Á›ˆÍ Æâ`äÁÛ Ô`ƒ1ïlÐO#7 ÞÇìk#ìAŽŒñ7øhs g >Ñœb0OŒÜ0ø<ÀØ|‘cmðeærúÿ`ôõÁèÛƒ¯77ä†Áè߃÷£ÿFÍ4õÒà' úïà§ÌÓ€><øyúò`ÄþÁ¨££/F_Œø?óŠÁ诃1·Œ˜?}sðwæ{ó»A<¥"æ7ÎæÁü¡qƒz¦q1æè×Èè×È ýýµ}µ±Ä3ÀƒÚ¦±Îƒ<Ð8Ø ö7¢/6¢~iDÝ߈¾Ø8ÚŒ1¨c; úi#jÿFÔ/诓Ìdš¦}·qÉý·öˆ±gŒ½2׸”Áœ¤c§c§qUƒñшÔ¸®Á8iÜÀ`¬4b¬4¢njÜij•ØÚƒ±Ò8eŸ{ŒÆýÌæs¨@®jÄXiÄ8iÄ8iD]Õx¢9Ń\Õˆ\Õˆy}#òUãùæB@Nj¼Ô`¼4¢–j¼ÒsÁ˜iÄxi¼Ñ`¼4"/4¢†j¼ÇÜkî‹€\Ј\ЈqÕˆªcª5T#ÆQãóæ±Ôˆ±Ôø¦A]Õˆ1ÕøžÁØjD>hDmÕˆñÕø¹çûÌW6˜»7"O4bì5þeþž áx*ä†&Œ¥&Œ¥&Œ¥&Ì!š'š0ohÊò`\5e{r òBSaÌÓ›ŠM‰A¾hB®hª6˜[4a^Ñ„1Ø4Ð`~ÞToä&ä¦af´Á8l  Æ_Ó$±˜A½Õ´¼YV7èëM˜s7¡¯7¡¯7­èëM›ÂffóèçMÈ MÈM¨Ïš šš0¦›ÐÏ›û›ö7úsÓásé&ôé&ôé&Äþ&Ô^M'Ô^Mg˜³<¨ÁšÐ§›Pk5!þ7]â¹Ì 4]gЗ›÷›nôÜêAßnBÍÓ„œÐ„>Þ„yBÓ=æóyÔ _7=ežö Ÿ7¡Ÿ7¡O7!G4¡æiBÍÓ„>Ü„>Ü„>Üô™øÒƒ¼Ñ„¾Ûôül0çmB]ÓjÆøhFÝߌߌ~ß|¸Ïó yÈ Æ7c,4£^j~Ú ¶7¿nÞò –7c 4£Æoþ>ö ¦7£njF,oFߌqÐüÀ˜hþ}*”%½ZÐ[æòÌ}³±¼ý²e!ƒ˜ÞÒǃþÙ‚þÙ‚~Ù‚ú¾}³ñº}³ý²ý²¥Î · /¶4ôÖ63Ì3Ü`žÜ‚þØ‚¾Ø‚¾Ø‚øÜ‚þØ‚yqËâý²õ{ br ê–• ê‘–U bt j’–µý¯e ³¥AÑ‚¾×‚Ü‚~ׂš¨c»õEËâHƒ8Ûr’9Å †h9Ï\h[[S[®ô µ µ ÿ´ ÿ´Üî¹Ãƒ˜Ú‚¾ÕrŸAÚ†þÙ†° sž6ôǶ—" ¶¡O¶!®µ½!ëÛ>ð|mÐOÛÐOÚGÛ~3˜·Ð/†ÎåA½7ýdèÂ}e(æîC1šíAŠþ2´À ¯ ­ðT‰OS„3Ü O EüŠ|9ýj(j½¡è[CÑ·†b2óð¡ècC׆¢Ÿ ]ʳŒA?ºŠYM¬aÖ4kôÅ¡èƒCÑï†"¶ E-8±mèža@<Š¾5óŽ¡èGCdž"‡Ez\˜ƒ E8±n(rêPôµ¡è_CÑ¿†žgO‡^$Ðdž¢ ½Üƒšq(rçл=ˆ}CÑ·†"Ö }J G[ G|ŽZ{8rÎð‹ âÁp´ÕðkrÏð› Úkø-ævƒ\4uÒp´Ýp´Ûpä¡áˆÑ†£í†£Í†¿b^5h¿áÈ1ÃÑnÑ_†£~þ©uôp´ápĉá?xЖÃQ G¼ŽöŽ¶þ×T#fó -GÌmЦ#Ж#ƒF =G =G fö±;¢È`쎨0È3#ÐÎ#о#ê ÚyÆðÔÊ# Æðˆ‘Œãc ÆñŒá¿#CF,ëYÁ Œ@ÛXÓ oŒ@ûØÌ ^±­A½2ùcÄεɴý´ûˆ½=ˆ{#2âØÓ߈CõÑÄŽG™£ j¤ÇÄ“¨—F Ž8ÙœfNô×çæ#OF Ž¸Ö\gÐ/G OŽ¸] Ÿ@}4âaƒÚhúæôÍϘ j¢è£#Ð?G ÆŒxÝ ÎŒÀ\oÄG}ubÌˆÏ úåôɈ+#QœË ïœKF¢ßìè{#KF"wŒDÝ3ùc$òÆÈRSæ)÷ €J@‰83²Ú úàÈ‘5ÎÈúàHÄž‘“}pä f%@¼¹º}oäz€˜31g$bÎHÔÍ#ÑG"ŒD‰>8r{ƒùÙÈ= ê—‘ˆ;#ÑçF¢ÍG¢Ž‰Ü1òXƒ6‰6‰6‰ö‰X4¹c$Úw$Úw$rÆHÔ*#/ñ ļl$Ú|äÕpƒA[D[D{Ž|̃\1í9uíH´ÛH䆑ïxkF"GŒD=2yb$Úpä7€<15Éȟ̯æO@^5»óŸQhÏQˆ£óG•šrÚjÚjj€QÈû£'F¡.ÕfPàŒBM: m5 ybÚhÚhòÃ(ÄŠQÈõ£P{ŽÂüzÚlâÅ(ĉQh¯Qh§Qk´×(´×(´×(´×(Ôš£Ð^£¶h³Q˜7Ú× Vu°An…ñ9êêÊQh«Qh«Qh«Qh§QgzÎ1Èñ£.5˜/ºF`\ŽºÑÜê¹ÍÜaî4È!£îä‘Q³£KF=f÷`ìŽB^…¶…º`ÔsyfÔ‹ãxÆí(ôQïxÞ5Ï£ÐF¡/Œúxª£ŒúÄ ?Žú<€>: 9o4rÛèÙ bÌhĘш-£{ĘѹÄ—Ñè“£‘ÓF#—F=ÈÓàA^~:ºPÃŒnÐWG#¯FN˜2zœïAÿ¾;z ³¤Aÿzg4úïè• úñhôßÑÈw£Ñ‡G¯ëôáÑ›Ô9£·ÛÄžÑÈ£w @n½‡A>œ7ý|4úöhôíÑèףѯG£ùÑhÔA£ÑG#ÖŒFßÜ2±f4bÍhä‘Ñw™{<˜G úæhôÍÑè—£ÑG£Ž~É &FL>9ýo4úßhÔ=£?1˜[þÆ ŸŒþPÓ`ÚÚk Ú| Ú{ bÏÔ¦cPËŒAƒ<2u̘,ƒyɘâϘ:ƒ84í:yc bИ9cÌ(@ûŽÁÎÆ &A;AûŽ™àA<ƒùÆ´ßÄ 1h¿1˜oŒAÛÙØ _ŒA®³¹A­:fkÏ6f[bÓ˜=Í>cb òÈä1h¯1h¯1ˆEcN1˜cŒ9Ûƒ¼1µì˜‹ âÒ´å˜+Ì5ž Úu bИ;9v rÇØ¥Ìò}s,bÏØ5‹Æbî49d,âÏXÌÆ"¾ŒE[E[=Ä–ÆឣÚvìñp¢qi,rÉXÄ¥±§ÔHcÑæcÑæcÑÞc‘_Æ"¿ŒE»E];ý,úóX䘱×Ú},âÑXÔ´cÑöc3ÈcѶcQÃŒýÄ MÇb^<ùbì·µ*†v¯Ž9=ˆ/ˆ+}rFbJÚ°q¤µkêƒÄ‘Ä‘ÔÈhÇ´cæˆ#ÌHƒœÑÑîÁü¢c1ƒºµcUƒöê@®è@Ût ¿w žt Ot ¿w :#:ÐNÈh«Ž¹½9¼ã®ã­cƒ<Þq€c³õkæ•hŸä‹´QljæTƒqØqº9Ð>çä‹´KâYbWÇ®5h§Ž›mÕ:¶9£ã²ãaó`|v`~Ùú´¹¢ã³ã5ƒ1Úüßñ`¬v`¬v ot öìÀ8íÀØìÀXìøÙ ot`Ò¼1n6ƒ¶‡v‡ñ8uÀ8äŠq½M¿©z4þ”Ü8ä§q˜×ŽË7ˆã0·‡¹ì¸*S 59kÜ ÓlZ bƸa}mò×8ô³qèèãÆÌ›Æ!vŒ›˜;C ‡Ø1ýoòÚ¸å òÚ8ÄŽqè‡ã'Æ!·C_‡81}qj–qèƒã¶6ÛzïÆ¡ŽÃüvÜÞp”@Ÿ‡±>î\ƒñ>c}ÜåóÖq×Äøqè?ã0ÆÇ¡¦‡ø>uÆ8ôqÄöqOÁ3æEƒX0ýfjŽqè;ãÐwơߌC¿÷­A ÷»øÓ árõêDÍщþÓ‰~Ó‰XÞ™k :QSt"t¢½:ÑVh«N´S'â{ç@@|ïD\ïDûtŽ2h“NÔ‹h—N´I'vÒ‰Ø݉ëß¹‚ÁµïD,èD,èDèD=щñ߉ëÞ‰Љڢ׺ã¿×»sG@®íDMع—ÁµïÄøïDŽíĘïÄ<µ×¾ã½1¹ó\ƒZ°cº×¾1¶ùµ×¼c¶ñµ×½óNƒz¾u|'rl烀±Üù°ÁXîD{t>ek;Q³w"w"wâzwb¼vbŒvâ:w¢VïÄ5Ü9ys<®ñøù Æêø êôñ9&×àºÇX¸;qw<âîx\çñãq­Ç#îŽGÌë<×y<úøxäÅñ¨ÙÆ£GM>×x<®ñøµÍ:ÈãqýÇ£ïÇuø;5ùx\ûñˆ¹ã1ŽÇã?ÜàZ?Òà:Gž:þ\ƒë=ý}<®÷x\ïñ¸ÞãQÏŒG«Àµë:}|üÓ}{ô fŽGßv\8þƒ6ø9uÌxôyL[zM@[L@Ìœ€6˜€ë?ý~Bï©2‰m³Üs& O@ý4¡Ä`ÌM(7¨§& fŸ€ZiÚzÆÔŒ© ˆsß& í',m0Æ& L@˜€7ý`æÓÐÆß& ×NÀ¼lÂfbsƒöŸ°¥Ù΃ñ71oÂ~p°AŸ˜€þ0á(ƒq7ýajÝ ÈµPM8S .N@N€ñ7coÂíysú„{á>¸ßƒq8ãpÆà„GÌýfúÌ„gÄëæCƒ1:õïÔHPçNø 'ü1ÒE¯‰§ç0¨•&Îó› úÊÄ>ÌÃ&bœN,6h¯‰ˆ“ÛÌP)ÐŽ;" -'.a0–'¢='¢='¢-'¢í&bî5í7qc³©Ažšˆ9m4uÒÄ ÆîDÔJQ'MD»MD}4ýv"ê݉GÄ̉h¯‰'Ô¥/2¨&¢6ˆ¶šˆX9í4í4m4ñ~ñAÛLDŒœø ` ODL|˃¶˜ˆq:csâ÷€±9uÍÄß<§ÿò †"•÷š„v™„6™4¯A»LÂyæÇ“1ÈY“Š æ“PÃNBΚ„ºbrÖ$Ô“O'!žNB,„ùÈ$´Ó$Ô“»&¡m&alMZÜ,a¿&¡&­¨&¡f˜„q5 ñsÒúm3 í2iKƒv™„6˜„œ5ioϾµÔ$ŒŸIˆ§“ГP¯Nš„: 1tÚ`Ú`êÍI¨&a^0 m1 m1 m0 ×{Ò3×{æ“/'!NNÂ5ž„\4é'ƒ¾> ×v®çd\ÇÉsôóÉ \ÇÉèÓ“‹&cN0yirƒØ4×t2rÿd\ËÙ™9&£ '£æ˜Œ6œÜêAûMF»MFLœŒÁ<f2ÆÐäe9p2êŒÉh·Éh·Éh³Éh¯Éh¯É›Í Úm2ÆÒdÌ9&c,MƸ™|ðÌ;ßH‡ö ÃfÃ{ÈÝpdŽŠqt;&±]t\¼ÖÏ®Šqu×d&ɱýGŸÆ Óщ œÔE'ÏbNé¢Sg1§ý§'ͶaÌ“gÛÄl*6›G؃zc6Ô‰³m-2Œ«=e¦]ëÓ{È3É™ÓÑY=ììn8g&;w&:/àüÿÌ,.v]+®ëa×O+åX.HãÂõ°‹3pÉ‚.N.ëA—ÿºâ?3Ì•©ñkº»aª)ûNëªäêÿ#®‰qíÿˆëÄõ7L7vÃM³°›{Ø-=èVqÛÌÁ¸Õ-7enfïÿI·Ü1“Ýp×"ÝÝîé¢{gQ÷ÍÿÄ­›3p‹çVq[B·Ï¸ó›Æýÿ™ýnzð?‰<ôŸŒ<œÀ#í¦Çx|jÌšíÏ]tWf¦ì;Ö3Ñ“zª›žžNžùÏÿŒg»à¹éàùÿ!/$ôb÷L¿îžqÒ×KÓÙË=à•¯NG¯ý÷zxãÿ73ôÖÔt‰÷D›æ8ÞÎÐ;x÷ÿ3ïõ ÷{ÐÓÁ‡ÝôÑtòñ¦‹O2ðéŒåb×½3ÖìŸÍ">ñE|9ƒ|•Æ×i|3 û¶¾ëAßÿúá?ÿø1Ÿ23]âà}ñ2=Îâç ý2ýÚƒ~óüžÐÿƒþüÏLó×,æïž•òùœ$¶ ØÖ³lïÙvô$ˆ¥]v„¦ ]‡9zeh¶6ût0Gæü1×,lî.šg&š÷?³2Æ­÷`z=~.óehþé`nXpXh°p„EzwSèÛ ‹Î"úÍ`YÿQqñ,ÅCzØ<2­™}Þ=®ÿ = Ê™r#äuS~7$Tè)šE÷’é 4CeӗƯÙÍÀci<žÞô>¯ÿtCù,®¢ ÌD•iTÍÕ51jÿ©K/.žÍöDÀ“Ýw\i ì†A¨ÿOb Ý0øÿ°ÆMÝÔÜE- ´vÓO[ÀÐÃzÀðx)1ì©#åXFü§GüÏÿ9£f1£§ƒ1žö ŒížO'ÓÝ㞣#¡q]Ð)ÆwÁ„YÜÄ LšI&ÇXìÿ‹§±ÄfÁXöL<›ÜKŠ¥º`é™d™ ,›ÐrÝ´üL´ÂL°ât²ÒzÜÊÿ#Vñ¬:­´ñì9ñ|„ºF#Òj=`õ4Öð¬°V[û?ÓÅ:=`Ý.X¯ ÖŸ6ø°a„ØxØ$½Ù^/ÍqÇõ?gÓh³é`ó„¶øÿÈ–3ÀVÿIlë m3ãLóÙœ(;EØÙìbvõìcwór7¼Òu±×dÛ€íþ‡lŸÆÝ´c;ýjç€]"ìš¡Ý2°ûÿ{¤±gí•ÐÞ³žâÖ«3Þ?ûß'ƾûýÙ;àÿ¨»è €ƒ8d8t::ìÿ‡OÓ5¾æy}Z3âÜþq„92£2pôR3 96ãf’ãcœpâ rÒÿ€“g€SÂ4~uÛi¼ù/w §þ; NŸÎΘ‰ÎŒqÖLtv„sfQçö€ó:¿‡\ÐC.ì!™‹{Ð%Éø±kFJz|³”Kᲄ.ï‚+Ò¸² ®úO—]=\“Ƶÿé–ë2p}¼o%{l7tÁÓÉMiÜœ¡[ºèÖ Ü6Üž¡;þ»sp× vw7ÜãÞé+“ØémÏ;É%>ÆûÄýz CÎd‰‡»é‘ðèÿ ÇºàñnxâØ“i<5==ƒ<áṲ̀İwÅ{ï{>ˆña*w ÏeèùöB/&ôÒÿç^žŽ^ùÏtójŒ×Äëzcô¦ç­žÃf„ž<‡XoGxg&x7÷2ôþ ôA„»à£.ø¸}2|šÏfQŸwÑ }ðU_ÏXÅ·ºéãÍ°süfðm7}× ß'ôC?þg–ðSúy:ûe:úµ~ëš>“³‡ØöJcoÏ>ûÂ~i|<ƒ}2Uäuø=Â3ÙŸ]ð—ù;½9{ÍâfóÌ>ÌaÎ Ì%æÎÐ<³¸yÍ|³¨ùÓX`Z0ÂB §±H„ÞS1nýãÓ‡ûŸéúÌBú&°hê×C² ÿÿAÙr2”#ï\~„‚™¬0sÓ5~Ö•cUP£dWš@YŒòP‘À€ÿc*EÕ,ªº‹jbÔf ®‹vÑ ž“.–MãóžÕåc®ÐÐ ƒg¦Ð¡åÿÖ I£m3ô?sËÐð„FxFÆëéø—8N&86g”í3‹hŸNÆ&ÔÑã"t&4>„YÔÄ.˜”Ðäél±„KtÃ’i,°ô,`™4–íž”öÅŒ1Íq,cùÿ!+xVL`¥+'°J¬Ú «ÍÂVŸIÖ˜ÖÌÀZfí4ÖIcÝÖë¢õ{Ð]°aæǶ/c|åù:à›uåX{ÔFž6 ØtÙ,ÍÚ"[ö€­ºhëÛDضËÀöžf3´S7ì°‹Ø5Ænb÷{d`OÏ^bïé`Ÿ€}3çb×· |×Eߧêʱ&¶ßt´: ÂꢃÅ! šÆaâðäÏ‘pTG'pL›ã¦ƒãÅ œØ '¥qrœÒNMã´4NÖe?$×ÕãuÎHèÌéä,svÀ9žs#œ—ÆùÓÙ1.ô\ãbqÉtviB—y.OèŠ.¸r:» ®ŽpÍ t­¹.ëÅ žº)›§£[bÜš0®ýá§4~Nã—©¦ì;Åm1nqGŒ;Ó¸«‡Üí¹'{Å}iÜŸÀz°2ÇxD<*Kèñ =ãÉòT7<-žéÏFx.àùÿ1/ˆ3ôR×Ìv@„#`7ÛÁ šÐ/3GÆ×èånxe&x5ീ×g!otÑ›x+ÆÛ1Þ‰ðnïÍ`ïGøÀóa|œ¡OàÓéä3ñy†¾ˆðe¾ÊÐ×Ý“(®ýÚóã7=ìÛ |ãû ýÐM?ŠŸú9_øµ~ë‚?bü ™¿{Î\½bÌ&f1Ì™ÐÜ3Á<1æëAóÇX `ÁnX(`áÌM˜Dʱ,2ƒô†>}#,Ð/,O““¡Üyiä$PhŠ"”$Tê)ë‚òÓÉQ™ª€ê„jDm@ÝL40 Sß lESÍÉÌ´89eÿ-]ÔÚÆ$Ðf†F–áÝ0FvÁ¨£Å˜¤Æt¤Ñ™Æø„&$01IbrÀbZ<Â3É’–ÊÐÒ=d³lÀr–ï†Âŵßzž;†#¬<­’U3°Z«{Öˆ°¦g­ ¬-ÖIhÝ ¬×Eë› Ì†‰#laÓ²™gó[d`Ë™l+±µg›ÛlçÙ¾‹v€g€`g±KÏ™1p¿Gûgÿ»vÑn=dwÏ ì {uÑÞiìÓ ûì׃ö7tÑiä9xqšÀažÃŽ82GuÃÑi“Ʊ⸀ã:!àÄ œ$NžŽN™V(ŽMüËé3Èipzgü;3CgÍ‚Îîç¤qnœ—¡ó§³ <Š‹2tq„KÒ¸4—‰ËÅâÊWýË!ÿø3Â_ðwØì½Ò˜-ÆìstÁœ=h®sgfš÷D6ãÌ=ÿt°@ ¦±PÀÂi,Ò½#ô1}»`Ñ€~id‰þ²» GäÆÈ ÈO ÀS˜PQÅ%¦t*3å]T‘ÀQ9Tyª»¨f:«u©fŸ×3ߌóÏþÎB¥QŸFCƒššMKB­ž!hËÀP1,Ã͈#Ũ€ÑÆ$ÐÞÆf Ã3NtŠñ3ÐÏÄÿA“¦“É1lþ´@Ø”}ÇZ,Æâf‰4–ì‚¥b,c™4– XN,ß +ÀŠ=`¥4V«ü`Õ.Z-Âêi¬‘К³€µÄÚ]´NŒu3°^ÀútÆS¥‹eÓ÷?KÙÈl°IÀ¦Ø,Â消±¥Ø*[›mbla»Û'´ƒØ1ÆN³#ìò?lׄv3»wÃöôì5ës±kÁ+£ãÜöé!ûfh¿ íŸf¢ÅAâ`qH‡zóž¡#ºáHsTBG“Ʊžã8>bœhN2'OG§ˆSg!§%pzBgtÁ™Sý·šÎNõÏþÏêg§qŽ87à¼YÈù1.\ä¹.ñ\á²—\ÑWvÁU \í¹¦‡\+®ƒëg²bÜ(n7‹[¦£[§³ÛbÜÞ3¢bØŒ0ÍqÜ‘Æî ¸;÷ô°{=÷™û=ˆ#<äyØóH xL<žÆâÉ€§"<Ý Ï$ðlŒçþ ø8ŸDø4à³€Ï#|ðeÀW]ðuߤñmBßõ ïÓøÁóãÿ˜ŸÌÏiü’Ư~›I~7Óâd‚cKëñgB%ôwØ<½24[Ìî™#`N3Ìí™'óf`¾ó‹ÒXÐ,aáé`‘z'Ô'C}=‹Fè—PÖ Ò‘=ëƲEz{úÄè6Íqä$›F^ŒüY\§0EÓI±) ( (‹PžŠ.¡2 *BuB5 ÔF¨‹00CƒbÔÏ$ fpBjÊ@s- µNkº|ÞæpÏæÈi¥‹¡Ó“žƆd¨m&šÆ01܌覑FEmƘv1¶‡uD¡ÓŒ0ÁLôLŠ0¹,añK¤±¤XÊ,°LBËŠå",?­ VLh¥€•#¬âYµ›VËÜ ‰‹‹¦êʱFZ½ ÖÈÀšÖò¬mÖ1묗¡õÍ]´ay6Ø$M63›'°eÀVض‰±­Ø.í=;$°cB;Eع‡ì’Æ®vë¦Ýg¢="ìc¯{'7{¿.Èê¾ÄǸOÀ¾žýØ?"(Jãà€C2ph‡‰ÃÅ )ŽòÝ Ç˜c=Ç™ã3tB㤠œì9¥›N§‰ÓÅ 9•ÆÙâœ4Îpž9?à‚éäÂ4.GÄ°þÙ9]3eß). ¸4Ë"\>\!®WuÑÕžkĵžë¸>7˜ÍM=èæn ¸UÜãö€;bÜ™»Ò¸[ܓƽ ÜpŒă<œÐ#æÑô˜çñ€'ÒxÒ<•ÀÓi<#žýWdËþücˆôœçyñ‚çÅ„^Šð²çÏ«ž×ºáuÏ=àMÏÛÞé!ïš÷Äûâƒ|ãcÏ'æÓŸ¥ñy„/b|)¾ÊÐ×â›ßFø.ï~ø1à'ø9_~í!¿eè÷€?àÏ€¿ÄßÓš·WzÓ-æ¥<¦Ù<³‹9Ò˜³›æòÌÆ<ó&4_ÀüX ‚i,cá‹ôN¨O„¾3Т¦_@–§0‡š7ǃ¾>o^å§Q =E¦¸JDi„2QžP…g@ŒÊUª¨µ Ô™ƒ¦š=?=‡ûUïiˆ18CД@³hÉ@«gH@›šÆ°4†wш.iFŒNcLBí1ÆFèã"tŠñ]0&ŠI“#,–Æâ1–K&°,íY–Mh9±|­ V+yVŽ°J„U3°ZB«O«'c_FqrÊþ×𬙵2°v„uĺ1Öó¬ß6š6†M`S±YÀæ máÙÒ³•Ù:m2´m†¶ÛÇØ!vòìÜvIc×»¥±{Œ=Ìžž½ÌÞ1öIcßnÚ/Âþæq 9Èlé!‡ŠÃ=G¤q俦K,ŒçŽá¨GÃ186Âqæø'dèÄ'%p²8%SNë¢Ó:Óœ•³8's#œãü„.ð\h. ¸8¡KÄ¥æ² \n®Wš«®†kÒ¸V\áú€Ì⦠Ü,n‰q«¸­‹n÷ÜáNsWw§ÓŠÒ(†’®I{\÷¤qoŒûîð€yP<”¡‡#ž}=û‰ý#áÀ‰ƒá‡fè°d2Žq˜WÍ^žPEØ?û?<ÆÝpd„£–uÉS™Þ”};÷dè^q_÷‹̃1{‰ðh„Çàñ <áIñ”x:Æ3]ðly.Âó]ðBÀ‹/‰—c¼¯‰×#¼!ÞLã-ÏÛ ¼ã]Ï{zßóçCÏGžø¤> øÌóyÀâKó•øZ|#¾߉ïÍSM¿ª¨îÜŠcüÔ?'ô‹ç×éè·¿{þ€?þ ø»ëæï%f3³Ç˜#`Î4æ ˜'`^Ï|1æ xLh¡²p„Eêmúxú,вú{²3ãÉ‘—@~„O¡)J¨8’¥ñz*îeêŸý—eóøù+zX¥§* ÚScj#ÔÁÀA} N ÑÓ¡9 %FkCÒhó 1,Ã#Í(cLŒvÏXÓáéã&¤11`’˜ÜM‹‰Å#,a–K™¥=ËÀ²žåXÞ³BŒa%±rÀ*Z5ÂjSÍ´8¹Z„ÕÅi¬aíë$°n[ϳ~„ <š6ölb65›lîÙ"–b«[wÁ6fÛ€íÒØÞìaÇ€`ç€]ÒØ5ÝbìžÀ°§Ø«‹ö‰°/ì—Ðþ   8(¡ƒÅ!æÐ áð ãHÏQæè™'ŽpŒ8Ös\Ç{Nˆpb„“ÌÉâÏ©æ4sºç Ï™:+àìçˆscœgÎï† ºèBÏE]t1\’À¥â2q¹¸"+ÅUž«c\×vÁuâzÏ pc„›nŽqK·¦q›¹î0wÜwÜã¹·Ýïy Óëµp¯^ÏÝоȩSþ;­}‘¢[–ýüÀâöÞÍÿü×Þû‰)ÿ=ÙÞgêï;zöEüç îù½'^Õo·w'µ/<å¯Õ?µ÷îõÏí}ìq‘mÎyþQÛ¶/2ÿ¨)ÿ¯½ÏFÿü×¾06RtËrí}l{}þùó¨öÞS~½ìÿ>¾üÏ ÛûØë¶ãáqô9úŸkï3e÷?Þß¾ˆ<ö±óYdÊaN¼Ê=ò8{ÿsZ5îù½m?‹Øùö¶ãZxÊÿnsA{{~oîßÎ[áñó8¸=>Ï®C»>îºÙuéýÏaösׯÏ›×Ó®{k§>·üóBwÝyÞü¹/ÛŽ‹çÁ×/Êvçñòº²ìxÝõáó¸îO~æöz³¿ðül;¼¾®=ø:;ÿ¾|Ý»ÿœð¿ýŽ¯·ç±ò8ûÛõʵGþÜß®S¶í7›Ï·~–kÛËæ£í7Û®SŽ'æë³í<³ÿyÙîíÙvœÜNŽ]Ï,ë7Ù¶?·]ë_ý­}Üþ¹û};>/Ç®ƒ{=¿¿í¯¿]—þ¶ßþv\9ÖûÛuȱ~•c×?›¯ç£_ž·gÇÙßú5ŸçþÎíévÙ<^¾Þ¶Ïíf[é/ׇí•Íóãõ¶çg[?tûåöxüü»Å÷È~awוýÀ¶ÏëžÅvå~µ_ØþòíïY<ž?ŸÇëÀó·ëÁãȲ~×׉ÇÃóà~¹îÇÎ˵£µ3Ë ^O9o÷z^^O;^þì¶Ã~aûÍáñ±=í¼û±¿p;ì—·ËñÌøc¯Ëe?ä#¯7Ï϶—Ë~ÂíØcÏËŽ3‹çÅv°ë‘Ë~bûe|Ë‘8èâ Ç÷Ëöd?’óq×Wㇿ—ñâú·ýÝ]þÌ~Éñ ñ1GúmÛÅŽ“×Å<ŸÛeÿé§ÇÅë#íÄø™ÃþÁö²×»ßËùeYsÇc׃ç‘Í~ÄëÉëÍv°çq;Œ³¹ìçlwö#{ž»gÒ¿sÙ/íy<þ~Ø÷y\Ì—’oÜ~%_gË8çù²ŸäØñ¸8ÉþÀý2OÉþ]žäyóïlÇ@<æß]±í¹×s\³8®y^ÏÎÛå îý‚ñ̶—Ç~ËúBú'ë×l?ŽkîŸ×—Ï·óÍâ8cÝkÇíêDý™¶Ö÷}XGk½Èù·«cmÜ.Êz™õ!ç%¬ûl?¬sûØyõåvd?}íxekÇï^Ïýðzq\°=ìuy¼ŽÖþýW¥^d½•Í¼Æv²Ÿû1.²r\±¿q¼kœ³q—gÇŸËñmíÅ~‘ÇþÌãg\çñX»³ÿåhýÄë çϼâ΋ã]òG_ò%·ïò9ó.ëQÆC>_öïò´¶‹×CÇ¡Œï~Œ?ŒcÒ®î|ØŽŒ'—ü½l—Ç‘Å8ÌøÂveàu“qçÚù+Tÿj\”~⎋ûáõe|àëí¼rô<ä<]=ÀöeÝÉß³“z"ŸóÍÌÇåyeq|é|‚íÆú’u1ã€æk^©ãõ¼Ýëx·Œ'Ü¿ÖÛüYûŸäG‡)ókî_Æ¡«ó8N¤¾ÒñÏþÅu7ndAû±[‡`±çs>•Ç:ý‘íÅíjÝÂóâ¸áñòuZ¿3nh<Òzã’y‘ë2¼Ü®Îßíu<^™Ÿò‘y6—׃ûãóyülWŸ<î—ããIë=És)ë¶|Ç=û?Ç-ÏÃöïòë©‹Ù¾:ŸgÿÈÑxÂã•ú2ŸñAâ¿Ÿì¿<>¯l?§]ÿ|Û>¯3ç Œ?2ïažç|­7ÛëûÚöú²îc&®^ci¯gÝèYŸò‘ëšü;ëHîÏþÞ—õ(×Wí:p=Öý̺ÖÎÛ'ë`{=×åŽ?©g\`>faÝÁ¼Ä¸Áþ¦ë2ïaÿsýŒqŠýXú…›Ïp;2ouã‚õ.ç7’Ù?Ý|Fò&ç³ÌS¬+]eáqpû¼~ŒØx}d}CÇW¯ë%ƶ¿¬Ëºù ã÷Ãóc>”õj—çyýyÝØOØNï¬;ø¨ëBøz^ö[Öevýú².³GWgÊ}|þìêCÖuv>®.Ô:“—uÄ”×óï\?åëùÈúS×O¹nÊýóyü=ÇûÔ:rã—×϶ËuLÞÏtýIî׺qÀ8Îzžuó0÷/qÔµó¸Þ‡`þa¾áÏ쇌³¬Ã´ÿj¿âëyì·ºNÎq#ýȧŸ«Û×y\r?ÄÅ='ë ÏJžvíÅ<¬ë&r›÷…Ý}!^Ž+ž/ƒùXG×…'¹_­ûìzôãuåúš=r½ñÄÕ9Rs{Ì«.ËýN½“-ûuëOó9ã9NÙOä~§;]·ã£ôGw•ý–ý€×YÏ?3nòyìW¼Þ²¿\^Ö›r_TûÏ#Oê?oïÙîÜŸÄç”û>Œ|”ú[óLÿ@¼sýY÷#ë‘.j>ãße=ƒó)·Ž#Ö™ò<¿¹~¦ûe|•udW7Êý×ÿ%ï¹G>Ÿã†ç!ý¹¿ök]?–õ=_W¯i]Çíò<¸>ÃþÏ<(qÇKiÿþrýÜù±_rþÄ~̼Æyã™]çBÛçynýSî“è}®”û¤O¼žŸÜÇ‹Ô7î|Y?rýOïsó>6×YßÙóôý¨½­]RÞGÉ:ÑöçÞ?ÊçÙÏî÷¶wÖß\}kçåê\¿í‡ë«‹êú&ãçEösû‹ãŠ[¯°¿»ù4dz¬·°žàüÈ­Ë°_3¯pž¨ëMÜטÏG9^9>Ùß$?h~uã¯ge?å}Ž??¯㎬ßp;Y2v÷Çù|^ÆQž—®ÿsüI]Ã÷qåHÜqõ²ÔÑzŸ˜ûËåþô¾‘ÔÓïÜxc~àug\°ç¹õ6Éûî8%θ÷áèzûׇd½…ùÔÅþ¬÷ß$/¹v¶Ç|¯ÎÇyÜ<^OYÒõÀ”u<æy®ËüÞ½_ýSêße¼¸qÁøÇñËzLîêz²‹ë\àuà}]ŸÔuC]æqr;Œ;2.]½*õƒ{±Œ'·>Çûk¼ÞŒ'ü™ëFŒloÆko×ïx~l7íWš?õ}¬?¤.Êb?æyðg>Oïû±_iœá#Ÿ'ã˜ïƒÌçüÃ~vë+:b;j=¬ë`oZ7I½‘-uÛ>Ç ããªÆ{™s¾éžÏø¢ëŸ:Oäuæ8’8ìÖÃy}Øžv]xŸ—íËy0çu'Ìw)ë²nïî«J]èÞÀëÈ:ýÇÉ:‹rÝÜïy=ô}ì?ÿ¿x½d^¥÷«eÈÅ1Y?pýHç².Î8çêTîOòûC?ö_ÆÆ-Æ=ŽCÖ{ŒÚ?$¯¸ù‡æCöÈÏ{¸ñ ë~¶ý¾¬ã¸¾Ç:Ó¶ãêC®+Úù¤¬C²ŽÓuFn—¯³ë”r_œ|½Þßæv¸Éçs»<Y÷tñOÖ‘\ý!í•2Ï—ù®~.#¥ßʸa~pï'–ñìÚWúS>‡ý@ç—ïÂøÅüËqÌ~Æx%óR÷w·ÜWÐuR×.rÿÑã8¯¯ë(öcÖ#ì猯/²%Ÿ¥¬ ³ŸË:¢~Ó½ȶÇ÷Û¹ù’Ôéz"x/°^ëê.ÆI‰?:ofž`ÅyÛ›ï'âû¬Üû5ù:ö{^G^/™»Ï¿p¼±ðõŒ‹œ's{’Ýz Ûý™qñƒ’7ÝçeíùEÖ^|tõ:Ç#ûû'ûŸÏñ&ë.Ÿ²²¿ò²®äÏÜŸ¯õ(Öýr;<~}Ôz’íÎ8ÊxÀxÍø¥ó`© Ý|€×—ýíÂ:‚Ûåvotûr_9åýì7ìZò¼ØÙßØßeýÚÅ9é×.2îȺ%×ÅÜz’ã¶;.ŽsÆæ!^'ÆiŽKÆ ©#y^.>ð|x<_ökŽο™ä>»ÞŸwï”u ×OdþœË<`ÇÉÏ;ð¼Ü}1Û.×ó8'xž:/×ú€Ç+u‹ƒqRê·ÆxÍ~ÍùÄKæ·žËñÁó“y¯sÊz7Û[‡ýõ,ó¥Î‹´~eÅ<ɺšë_|ÏÃöÃu1·®ÄñÌqÌv¶ëR uŸË_ìWR¿¤ÔG²äÞÏñÂþ$÷Wôú¹u¹/âÆ;ãÛEâ שÜ}wn‡yñƒu-×ß8ãÏú>‹PœcûÉû²µýe^æê™2>°ݺ-¯¯?û‰ßÊë’Ïíò>¤ÞÇÔõn®_°®•õDWŸòõÌûZÿ°}ØÎìv]ÜçøùÈx)ó·^?¯2Ðõ=}ß‚»ļÈë¡ëÌöº<ÖŸlwY¿qï+áqÉ|…×…ã6ÏyßÅ­ðx‡yÞÜ>Ï—ÇËþÅþÇþÌãdþçùó‘ùEú‘ËëRç1¿¸xÃóc?Õz‚ãÖ¶“§ûe;p¼ê}Ù¾[ßd?‘ú&ŸqMÆ1ÛÓÕsº®Çß³ã#ë5Öƒv]RêP;ýþ#÷ùk]ßÔz’ÇÁ:’Ï·¸àžÏík]j¯ë-?k¾póy^oöæ¹ÿRØñI=àæS¼ÞÌËÌklÆ}‰®_³.‘üäÞ‡Îv—úD÷ãâ¾ô7ïÐúEÖMô}Ù®a¾•¼À¸˜Ç8.Ç›­çËú‡ãX×Ϙoä~Ž[‡e½!÷ SÞg-Ùú³Ž_ã‹ãŸíÄ8&u¼;nÉú9h~¾G×ôsÎ.îÉúïϺøÁ:ØÚ¹Û›íÇ×s?Ro¹vf¿·¿çɸàóù¾]Wwë²þîöÏqÈ:Iú£[áï9_à£ÞÇd?d¿”yë½”÷{±?2NJàæ/²~åî;òQÖÜç t¾(ëiÙ²_æ·žÃ×sÿ¼~|=çsºž)ÛOùܯŒ¿”ú„uÛýHï#²2Iý‹ãžgûð‘ù†Ï“ù¦«CØŸ$þ»~Ìßsœ2~ØuL¹-õ—{äßíúõe=iý¡¯í×}Ÿ&ŸÏ:P×­R¾§Ò®›{Ÿ$¶óèÍ:ÑöÏ÷UòxúÚñ¸íKz_kÊû§õ¾Ǭûò}¹YÖ^î}º¬8ž%®»ùû‰Ì{Ü}ÆþÌ|Èq óö·N ë†)ïkäëeýß}ÞZêJý¾N}ÿ´Û“uŽÔuúùS7Ÿâ8Óù²Þçãùðg>_Ö34¸÷Ër{<~yÇ·[Wåº ¯;ó>¯3×#t½AÖÃu=Í}¿R`½Ô½OGÖçÜ<œŒ;쟬óx½ÙÎzŸD×#×dý×Õ <>Jýéî¿1ë<ŸùÔŽG× Ý¼™íiýϽŸ‹ý†ÛcœçïYïp<èº÷Ï~ 냮>džã8fÞ’ûS.Ÿ³Žçu`Þ“ua}ß Çu>û!ûƒÔIük7ÆYKYW”ù¡Ë <_Æþžã—õÜÇqë&RW¦¼Ÿ?s<òÑöç¾_”íÍ<Åø+ó7ßXGò8Ù¯yœ?RÞ¿`Ûç÷ð¸u4^_ÎS8~Ù¾²ÿ”ï1ÔõssœiÞÖû>ì'ì‡Öþný—¿çyëü“u!‹íÄ~ÇqÌóávÙOØïX/01¾é¼—qQîÓ¸v`\á<”וãÈÚï³uëe|d<âþx€ã˜¯“ù›·H\Oqëïì—ŒZŸÉøsqŠñ‹y‚ãžãAêAWOÙöy_7e¾Æø¬ïàxãøf~áv8—õb—ùz½?Îü"õCÊçéå>¾ÿFë\Wr=‘¿—õw½9>9ÿæuäý™‡æŸîzÈý ­Ïõ{ ]œc¼a\–z–ësî}㼎ìï<_»>n]ý™ùŠókÖ¼žŒç¶]~^Ø}^BÖ[SÞ7Îóaÿ’y‰~_¢û=Û‡ëXR7êûÈr¤?¸ù•Ìóø¾>›n]—íÂõ æ+öG^û¹ŸÄ·n ÷ë]ÿÔù‡¬k³ý]½Áë£ëýÌ?l'¹_ì>ߦëÁš‡ìg®§³]Ý}]öWæ1ŽS9^wÝùÈýð:ËõÔïÝrëu¶_Öãî~(ã,ë/öSÆ?™»¸À¸Á:Wò¾[¿cÝÎãgÓù7¯?ã çµü™×çÃz“Û·ýñû‰Ü}¹¿ óHÏÙ¤tï¿c?ã£Üo×ÏÓ¹÷Ùèõ•uÛ|]wÔù+¯7óû‰®¿±–u?ý>=·*ëË.r¿²Þž-ù‰×ëÔúþlw=uÛž—/ë.îºòz±Ÿ3¿²Ýù<æ=Î÷¤¿éûµßóÑÝg{È:©Û®Æ]ßçvØN²ŽíîY¿võïs}’õ ×m?îsÕö:÷}ä²¾èîK[?pß+nîóß<®wZ{¹õPY÷Lù\÷Ëçñõ<}¾µÿ="®{öe=Íú˜×õ6·ÏG]Wå#×ky^\/åö¸^Ëóçñ±¶¿»G{^_®·òýz½í|¸NÌúÛ­ûqÞÍqø$÷Y\cÝÌ:‹yNÆAŽæ™Ÿéº‹+ü;Ç9ϸ¡ëîº^Ëíòxù³7ï#é÷¬§|±äq7¯çy0ž2nÚus댲þÇûpú}h.þð<¥Žâz€«8îY—I¾ËÒãæöx=¸?ÆG]wÒúŠý@Û™ñŠ×“ñZâž;Ö‘²Ž!õ¸[?àùȼ.åûÅt}BÚGßäÖt]‡ñDâŠ~ß‘~ªöSW_ëúÇŸ¬»»q!íÈ:Ô½†×Qêûl9.Þ¯gÞrã…qDã?ãÏCîs¹º“×—ý‹íb?»÷UØñöc\dÒ¼¢ó|/ðz1Nñõ²ÞîÆ1ç)ì72Îô{Üõñæî‹ñü¤}òä¼Üz:ב¯—û.:_áßÝ¿3ɺËΟ÷ÉÝ÷¹³n”ß»Ÿí¼SYo[üp맬—ùþÖ™\ge]Îßk½Èú˜Ûáññï¶~ïR_9o·îoûqõ ïkðºr=qEâ›»*ëVŒ¿îyì¿öüB¶7_Çþ£Ç)ólý¾ký÷çxŒ“î~û©Ôcn<Ûy¹~Ï~ĺ„ñ„¿ç¼MêB·NÀx(÷Ã]Ü×úÐöŸÅ¼Êí°^’ºŽq›ëžúù/Wí¸²¸þÎü©ëU?ìZ?ñ<9/g\ä~y=$žêû­ôýn]€¿·óçx×÷ ¿wœùYŽOÛA¿WÚ}n‡u”Ä}wÝÙ~|d—ßëû´R>OËváùð¼¥sŸ¯d>áubÃüÀçógn_ç¬Cx~RϤܧãßÙn¼~'¬e|¹ú’ýTê)í7)óC/שø3ëpmO¾Ï€ýSÇ5ÛÉöãÞ—Ì|®íÌú•ãy”õÏߎ#KãóóÏÛ¶[ÈëļÈqÎ:†q‘qŽë=ºÎÅvb?縼çÞG(ëx)ßo¬ñJçC߲ΚòïXÚÏ\—”öÏ‘qéî—ðºâƒ~4Ÿ×‡Ûåó­Ýß´nÏcÀ~(óawýy|²ÎÏãÍ“ãróe¶'ÇóÇ)ë@ƽŽÚï9Îd½žýŠŸ÷t÷íY'ñrû\ÏdÌ¿Ç­ã²î”~åÖÃxÝy]9CýŒqKò’«“$>¸ñ®u(óºÔ!î{=8?f¼çzû¯'·Ãõ*7¤ŽpÇ/u…›wðº0Nh¾ãþe¿úye÷ïJ\/´þïê5æ}ÎÛ9ÞدYß2Îrÿ<~æ+Û·«ófW·È:¯—®{¹<ÅíÈý—þ{ò®Þ`>åyÈëÝýVÖ[\ÓõCÆq®q¾ õ¹ËOŒK캮¥óx]o’ukmo‡¹ŽÀ~Àþ%õ‹~ŽØ­sÉ:¬»ßÇ¿sû2_pó/þž×OÇën‡ý…×_ÖYS>Ê:žùû“y‚˧š?ØyþŒö:·Žn¯ãûAÙ/tž”Çy.Û›q…×ÝŽ“ë9®àóe=Öå)ö[>êú¬ÖýìÒßt,OêqýwmÜõc^”õ4ý÷¼õýQî}«R‡…æîN”õfg¸?þÌûl?ã¯ÿÎó`?ä<›—ù¶›70.2þðº²ÝyžÌcŒ'2ÿrßÉçóø9®ä¾¬~Ÿ…{ ã!Ÿ'õµ‹gë–òï²ýOØ~šu~À~.u‹‹ÓoÚ®<ÆkæA^{~¡®›²]Xò¸ó ÷3¥NtŸÏçxad>gÜçö5ŸI=éæsËN{ßQÇSžæI¶«[÷åº8ã‡Üáç‡]¾”õ ÷ýäöÈñ/óe÷½9ò>?æW¶››/°=˜WtœË<­ëp|²?J¦ëmú}Ëý¥ŽwçÍë¬y×Ió¯ÏŸù‡ójÆo®k2ðõìWœÇqÝ“ç/õªÛ¾m‡qÎÅ;Ywvõ‚Ô9š×t]‡ñMæ ú}rúï i¼rýƒíÄþË|Àù:ϟ׋ýŒãœ×rüÉ:²~»Ïèzë*Y¯uy×þîÖ‹x¸^_®kÈ|×݇dþ`½ÀþÂý²Þà¸àx–õ|W?²_ó8¤nuu4û§äWïòús¿çÜú¥Þd½ÂG^íG¿ǽNÖ[ôs›)ïß“y¡‹×¼ŽïÜ_¯qƒëmrŸÖÝßb»k=ͼÍë óE~ßRû-Ç™Ì S¾'œ?k½ÂñÄõ n‡qõŒÌc]}ÅëÍë¥ón^/^?­3u]“ã€uûÇ!÷ÏëÄyµ¿×ÀõCn—ë²nÍëéæ§\÷Ðõ ÿ²î•ue?˜—8žx|ý¦½Oåêæ)ŽcÎÇù{É7níÇëÉóçù°}x¼2ßuý˜¯c>âyñù̳ìǼ~ÜûÖü™õ˜goÖsR¯õµçë¿çÃûÊnÝÑú{¤O_Ûž[Çäþí<ehÛM¹ŸÍŸYßòg¯Ö¿’¯õ¾µËS‡rÓÍkXG±?pýžãë º.ß9Ïâüó‰—n¼qÊïÝçEØOåþËì/2¯póWöcÎã˜ÿù{΃_˜ìïî{p¹N/y…ïÇvó>YgÕ÷ðuÌ'ü;ó'ç‘l¶#㪬Èû}Rîor|ÉxvùŒ×í­÷yý%¿»¼Á×s¿2ïÈ•zÊõC>Oê?÷9j7ç=|>·Çv’uwß–ÏgÜ`?–û"ºÞàâ-ó¯ëhö/ÆM®÷qþÅñ'÷¯ô}cî~û¯¿¬³¸|©ëì¬$^»÷ 1n²_3¿ðü9ÞY§HÜtëË:¯âùÉ}U·Y—Hù<”Þ·eœçõ’ºÁÝ'࣬ã»õ^}¿óûó¶¬s»õÎç´~Öû5ö÷­Ÿ¤ÿ»ï)×yÔÓ®Þfœæ<„ó0ŽSÆU]ÇÕq!ï‡pŸÇ’ø“«ý‚qÜþÎïÑÕïÕÏgÜávOy><^Ž;©¿Sò —ç¥ùq‚íÊ|Ï~Åñ¬ëÚ¬“yœlw»îöüÖ/¬ãßٟ؟徇ûÞ]® È<žãL¿—9OŽ'åû†ØÎ<‡n[æüU7ÿ縔õ·]öoŽCžó+ûóû!ãÛõ û‘m¯@Ç=óßöç¾LêG—o¤>Ô÷-»÷ÇH~g?äxâçÝßÙ~lnŸqÈ~Ïïqu˜í§/ëB{þ¢¬ûìu®.ä#ë7»)둬ëX/²Þäßù3ŸÇßÛþYOº÷[²¾´órÏgýÊóáö¸®Éü#óW÷ﯰýd}B¿£€óeŽWæ=Sœ'òïìOì¿|d~ãvù|ŽÆMöwéî¾$Ç©¬Û»÷I2¿Ëz ¿ÏIë#ýq÷Èú‰ë´ºþÂu®ïðïŒËZ/ÈúªÞ‡rŸ³ežÖu1¶f¾ažà#Û™×›q’õ£ÌÿÜú ¯/ã(ë2Yç,`¿ây°=Ÿ˜wø{¶#·Çã”õîÇ­ÿÈóSÞÎó“ùiŽŒ{wy\oa½À¸Ç~Ìõ]Oµípÿ|äö4ÏñuZð|ø<Ž;>Ÿý„u æS^g涷¬éçàÝ:ó7÷#ïpuóÖüÅ8ËþÎøÍëÀ~bÇéî·i<áüŒûažb^ãxãùr|°ÿ°˜79ÐñÆýJâê8¶“ÔW.oóõ¬ $_å˸pyŽó<]–º‚ëIü÷iòdœëýŸ\9Þ|‰®?rþÃõ}‰—®^ณzÔ}>’×ñ’u¯?ã®ÌKS¾Ï”u$ãóç²>íêgÛ^¾n‡qŸûaáþy?®‹»ÏÆüÇë¢ë¢Rgèç 5oºû¼~rÜúùD÷ý˜Ì2?tó{öWšXGZÿq×Qæ‡n}˜ãOêà”ϧñ8t½šçÇù¬œ¯;^Yç÷.ºüÁv”ûn?r_ÉÍ›™Çä},®®g~–~À8˜r?€œ/H½á>ÏÉõGÖ‰\'äúï#s½’õë9®3ÚëôsÔn]R^çžÇºu¨ÞÏæ£Ö‹úwÖ|äþyü|d<ã8åõå#ÛYÖ™]~gœå¸Ñy…õW¾?ÐÅŽ'Ö¯ì¿R_¹þ-ënË<ÌÝ`ÿ–:É̓å>žÞÿêÇz’óBû›äQ÷¹dî—ãy›çÍ¿Ûy¹ï âõ–xéîÇp‡ÛÓõ_Þçâ¸àëÙï­½Üþ8¿ãuÔzGÖÜç7y=9θYÇr÷…˜?xýùz©Üzë!Æ9ö#}äó9þy>²þàÞÇÁý°½Ø¯ùzÖ+rüî~®\/Í3Ù?Ùoù*¥~Ô8ƺŽãûãqÈ:û÷rٿٯäþ©;®gðzÉõÌÕ¼ÀñÈþËíé£Ô§º>ëÖÇ8x½y>¼nì_ì7R7ºöãëù³ÜOuõ>Ç+ÏO×MÏØŸuýAæ¥î}x¼Î¬×%Ï»ï‘àv8O²í»û4ºîÆëÁñÈóaÜäñ2ŸÉur÷I‡í¼9ÿOù|3¯ÿÎóãqs{ü;Ç‹®“k]ÁëÈ~Èß3.0°ÿ°Î’<­Ÿsÿ~‚Ôyn¬7tÌøÈýÉóÝ÷ïH?MYÿd>‘ûp®_qû¬;dÞèÖ¹]ÖiŒRg¹ù/Ç÷kûÑ·Ö}^FßOÀñ©ëCì·œ‡Jÿ×ïË‘öp¯cýË8aýÙ}¢®gJ¼eÞuõ Ìÿ4ïk>×ïGËg}¡ë¹l/¶#·/u¿‹OÌK¼¾<.©Ü績h?§|ßë=ÖcvøyœÞúhÏïmý†ßßÎûà¬KÝ÷±Ûq»×ó÷¶ÿÞvÜîû”x_ÝŽÛýÝŽ÷åÝ÷7q{v½ø³ëG¼Þ—ŒÒ]|—y¶»/ÃþÆv”÷?p\è¿g¡õ½‹+ìWº ÷ëm;¼¯îêOÆ]™o¥ôææ[Ž}ï'ñ‘ýšçÁ8ÌëcãÈÝç–÷#±_ó:ñsú~IW‡Èú¨Ë—Œc¼þÜÏÛ¶ãÖwdžœòy)¶÷Çë$ëŒç]^åuæ¸ãød¿:ůÔEn½˜õ›=2Ÿ°9ßaýÍ<§õ Ä W§Èupóin—×—ãƒõë@ön×Sã9Ÿ'÷‘Ýùs»Ü¯\·^Ëçñ|ø<þžõû‰×E¹_Žwm_ö_ÆyæG®/qÿœï°ÝÙ2ÿJ©Kyþü»ÔùÒžî~¨Ü¿pã™uó©Î˜¹¾"uP®ÖA’'Ý8gÿ·ëçêk©ܺ§Ü'ÔÏU¸Ïm±Î—¸¨ÿsŽŽ_»^úýJn\sü1þ²½y|Œ².ìúŸÔk¬S¸Ïí¹ëÆ~Â~&ë›.žs<ò8˜çmÿî}—Œ[¬GØ?¹]Ž[‰ßî}£ŒSìÏú~!öK¶_ÏqÁçÉ|Ì=ŸíÄógýÌýð¼ø|é'î}´vÝWù=ªn]ÖÝûs¸Ng×÷E»ï`<‘u»”¼ÇüÊ:˜qSò—ëGï<öGîí)ë—î÷úwY7uëR»ûßoÙlwùr?(OÆ·Ò¾)Ÿ“dœa}ÇzÎŽƒëˆü>u÷ýöÈú­íŸõ›[oävX¯ò~¶íŸ¯së‘ü™—ý¹õKþÌuOý;_ÏŸ¹_>òz³Ÿ²}_Ù/Ù_µÞd!yÝ7?r¿Vó¿7ÞÝÿ–úÔ½„ÇÉùû?ã9û“¼ÍÕ R_¸x&çåêÆG­{x|Ü?Çãûã ó´Ìw\þÕ¸Ìz…Ïã¼ù›ñ„ã—׃××q–ã•u=·Ïq¨ë=’¸nçÖ=¸ÞÁüÈírœñùÛ‘×ǧyZÇÇ'‡íÍ~"ó÷(ëïnžÉ¼)ñÂõ;^_>J¿rÏãz2Ç!×¥Øo˜gxˆý—×›×U®·ûþæÆ3Ž;^gÖGŒßÌú<]‡²óÊ×zu‘ä —Çاù:k÷9IÖY\?”yˆ{óŒäEžo¡?×Üñs{¶}ÆY~ÿ›{Ÿ?3p]ÜûZø|Žž?9.9yÝm{î>×ï8^íunÝWò›ëÌ?Rgò÷|ŸnŽÛ™ýãšÛãß%ßòú0Ž°·Ø¯xŒ_Ìˬo7y~¬mû)ÿž$ë2þWïévXOòy|½õ;®7ºuDë§îßd½ËG®;rÔžç¶ÃçqÝ’Ûáýx¹®î~Ùïe}&O‧W2Ÿuó>ŸýUê-7?b½(uû¹ë̇2Osÿ®ã#Ç û¹ÌÃ\^’º(å{7Ù_d|¸|ÄGŽ{ö;½oÂýð‘qñÓ^çÞÇÊñÃ:@뾎Ç+ySï/¸º‘óM¹~îzé}¹O¢ÿž‘Þÿc¼Iù¼¾¬—¸u^OæOŽsæ#ŸÎ5®°ÿÚñº÷m3ÿñ:03Ÿ²Nàve}”íÈy—›'ðyš/t>«÷gX‡ÉßÝüA㤬ëç@YJÝíâ.ëa^gYOÐï_wï³c¼äù°°ÿò:ð÷ŒË|uý˶¯ß‹âò ïÉz˜‹'ºîÅã`¿‘õŒ”õ1™/¹ö¼–2æv—ä}n¼ÊMWßItõ÷ÏçóõÌšg5î鼃ý’y\îcj<ÒÏ˸¼Î×˺|Ê¿%ëÐÚŸµŽà¼ÙÅ5½N¬#ÙoÿYr¾/ïsqñšu¬‡ëçÝù³ðøyÜ?Ç1ã€õ3ý|¨û^$Žöö^gH¼sÇk×Ë­#p~Çãã~Ùo¹?©?Üû@ØÎöúBÆ%^ÖrŸÉ½¿Kò²«ã™d>œ§qL× ø(qÅ­1¯rÑöçÞwhOùwÊuý‘¯çóí:ðsÛ¬ç¸Þ·vÿþ#﫳´í-ÂuP®+²Ž´íóߣtû·ëªÇÇãpu-ï‹ÛþÜùr}–ûµþêþK;÷ï_r;¬mjÝÍë"ÇïÖ•¥.N¹?Ë8%ë˹ÚϹÉçn|³žb–¸”ò}@’ŸSêv¶ã2¯#Û‡ýUú‘«Ÿyüv~îßÅ°í²]íúë¿ÓR¿Úñ¹ûá¬ø;ï”ã’Gw½dž–rŸ•ó>YïJÉã¬g¤^qýžñŒãŒý‹ófæ{ŽcÆ/¶3·+ýŠqRÿ½)W?ò}!?ëxb|ã~8ž¥Îe>tíÍëÊñ'ïKpë ¼.ÌÜë6^G™Wºù û¿Öye}Tßgäþ]ÎÛx\l'žëWŽs[zœ|žÖ3xr¿ËmOês×O8دÙ~Œ3ŒW|äúŸý†×ƒ×Iï³0³áõg»È:{–œ§;^oŽc·ÔyY²Þ£÷ÝucÞ–y‹CŒã¼^ÌûÜ.¯û©æmŽc^g™GäI¼r÷]­Ý8N9îx5%ÿóº³?k=ÃýñùÌ[Ü/ã _Çv²ëåÞ(ó÷ý„rÿXÿ4W±äϬûìxX§õåz&ëM­?ù|þÌú“u ë>îëÁ¬e»)ëªÜëQ9¾”:’딌Œ/ìG¬C˜xý8ŽØï5HœwÿÞ#ã lj¾/ƒ¿·ç¹ïé–vvõƒ¬ûé÷è÷'¸ûìGÖ^îß7a^eüa¿c¼f}anRë6ŽG'ëD­¯%Îè÷½æJ>Ôq­ÿ~š~?x¾æ-Ö_\_b{òylG©ëÝx–ù™[“üïâ&㞬#ºû†Œ+²nšòùRæ)ö¶ã•´£ûž ž¬#ë÷–ºóf{°$³eɸÐïùwýž¯g?‘uƒ\ÙŽþ;Ãî8õu¼rSÖ½e]Ïõ3{{?-Ç¿Ž[mOÉ÷.?°ÈÏ®.‘õm]g?tuÛ‰í+ëe®N:ͽ†¯“õ@w¿€ã„ç!õRÊ÷±é}LÍ;ûáxy¤¾Ù}8㠛׋ãTçkÌóìßÌÿºÎ)ó™”wVîӦܗá¸`»0ŽË¼Å}¾„ýíÂxÏëÆ8)ëÚn¬ë²gŒŸŒ—<'ã9ó ÖÍü;Û›ùQ※­ñœóÛ¾~oë"7åyq¬Ø_åü]>•ùë÷>®Ëð¼ØOy>º.hÇíê7Ö{¬Ët]Ð{ÛvÝç˜ì¸Ü}qþlýÃýlס·]·¾öè>×Äz–õ+ßÀGÞ·ýò¸µóu¿·ãà÷6¹¸ÌëÏöç:4ûÇû—½žÿnnÊý5¶¿GY·Ï“xèòóÇ=û ÷«ëÒãøæøgÝ&ûuŸóÖ¿óøù<ŽSÖmZ²Ÿ±ç϶÷=7ü»ä }¿³û>Yos×™ãXÖ¿Üõažûj:ÿrß/Íñ-ë.ŒkYR÷¹:Zâ»þ;,.¾ó8Ù41¿ó:óüùÈý±Ž‘û«9Ú^Œ¿ÜÏùÛëÖz?ýñFÖ»¸ÞçîÚþÜ÷}±êü@ïI;¤¬/ðgŽ^G­ÿ8Nx~2ïá÷ª¤¼Ï‰ÇÁëÉëËu æþ,uNJ>äöØ.¼.<Y×äü¬?ÏGî?j½ÎuLýœ¶»oÆ~Ç~¤yKõLö™¿èú•Ë—|ça<>Ž7¹è®ÛƒyñP®¿«³YH‘ò}ÒŒÓlÆ1¾^Þÿãö'ó"·NÌ8ÅëË×1.³®àv9ž%é¿íÞÌñÅ~aÛwß—-óWn‡ßã«ïçuqQ×wÙxìW¬kt݉×ÁžçþOr\°Yg3žêýæ;.®³¸úVÖR¾‡P⧋wœŸÙ~RÖÉõ¾»ŒÇ”÷Ý3ñºðz0îóxÙå>‰[—ÒëÃëËã•õ÷9WöG¶?ۉϓãtï³c}-qI¿67Ðu¾îÖAô¾æøæï­ýÜçígWwq=ЮW_Ö—¬ í|Ü÷ñ~4ëH;NÖ•‹Øö±×ó} î÷g±ëážg¿g}éÞ§iÇÅ÷qòßIç¿KÔ—u.×-í8ÝûJ¥ÑÏÇ}¯žÌÃ\Üaœáø¶ö*Ð~¦ëh¼Þö|·NÀv‘ûaî{µ¿q½…Ûã~ô~¬ûÊý*?íxܺÇÇ%û#û9ÿÎí0^qvœn=‡qŽuëY_áû>¸÷ùq­›8¹>Êý/×|äxáó9žu©þ»mn¯ë[r?N¿'Bÿ]™”û£Ì{Ülǽ_@ÖQÜ}f{k?Þçfœf|”ñî¾_…õįlÉn>*ïWpñMã1¯ óãŸ/õ‚»_Èõ-Æ?‰ŸnÞÌ×q»¡ùõ'æ9Wç³þåùp<ȼ®ë'öÛ¿û÷Lô¾f>a;ȼѽÿ€ãëLìWü™×‘uÎ8nø{[üYâ{ŸY7H\suó•ý\ÀxÄöæóxœŒ ìïRéz¯ ë—OYr{6N¹/ÇåÖe]‹çç>g̸Â׳ýY‡ðïlo­—5ß²^•þêâÔ™n|p;2ŽÜ÷i*u¤Ë'ÒÏÝû¸Ø.ŒsºnÆþ(÷•RþT™§óþŽëœwpàyÉ}è”ûAŒOŒ[l7­8¾9~y^|¾Ì/ÝñqÜË£›¿q=@Ö•R>Ÿ®ë7¼^ì7²n¥uŒ«¿XÚuLù÷t¸NÈ:÷§m»úï¹?ÒÎÃÝ'·vvïä:¨ÏuLw¿Ú¶»(ë]nŸë”ü=÷g×Ù­§J¾Ñ÷W¤ÜW’y˜‹³¬ó?¸ž¤óE‰û.Øqó{ Ü÷ð°Jÿq÷áØŸd<躛°?2î³é|‡yFŽ“y³@òŠ{'¯ÇÇ%Ï[â‹~®GﳺõWÆ5™Géû#SÞÌö•xêþ®ãMß—ÄöçuäxãþÏø3¯¯Ôkî÷Åyû#×EÙ/d]ÒÇ+ããó2ãÛ“q–󞇮'Èú£ËãÿZÿóºðùŒ;ºnÏþÅúBß·e¯sý_秌ÜÏK[ó ÏOâaû¬_ººÑ¶ëÖ%­ÿp=Ð}·ýðsà\ßäz [‡äß¹ŽÈG½ÏÍúT×#yÿ›÷ÛY'²µëÌãv¯³ãqÌ“’/Sþ}S¶û!ãûÛ™yŒ×•ã•íÀß³½ÙtýEæí.N2¾2^ðøØ/™§xŒl_ž—ÔOn^¡vüî{ß—ØíÑ}>WîS¸~Éy÷ËqÃx%ëê)ïÏâxàyp?Ìo×Ý¿k®ë‚¼î2ÿs÷e½/WóKæÕnû|ÖOö{÷ï-òzr\3p|ò:ðxÙ˜øz^W­§Y×q{ì/<>Ù¯~ŸLÊýrîGÖ3Üý?nŸ×ƒÛ׺‚×õ @¿HùÜ Ïvåy3îIsû•uÑ”º‰ýš¿g·ãwÿ~8Ç+ŸóP湟è¶+u®›×É}%—çÙÙ_8žØϘ/¹=^g¶_`þà΋÷;oØox^<nŸÛc;KÝá>§&ë†îÑÆW!ëÖ“ú~:®¿ñ:Ëy¦|?/_ÖÍݺºÔyßØ_ØîÜ>ã*×÷e;..ðzÈ}ï\¹^¹:ÎtÞ ã^çz_šqHù~%—Ïxœ|_ã´Œ7ýwódܹûØÌCvüœºÎOCów?Ä^çÞ'Ã~ÎqË×ñgm^OiOý<·»ÌëÄñ*õ’˶ý|G¼È<àælæ#¶›Ö[Ìsuì”÷ÕË}’”—ÛÕý°¿ð÷¼^œw°.f}/ý@ï/è÷À¹ú–ñŒqL×]9íg÷>ÇÿGÙßBm’lÙg‘"Z«+£22#¿nfFÞ«¡M†i"Ò¨ÈaáâEDDD‹ 2XdˆHñ"Cš42h@ßî_¡~‰/^ws³cçcŸ}ÌÍïyñ{x?|£óþ~íY_9žî¼çoÝ#ü‡=yø>úð+¾2|ã·'|çö[òœ›ï¿Mûž;yÉÙ'CŸ_x¬ÕgR}È™¿müäÇ‹wàPú|Y¾[^õØ·@~=⯵î$ã|Ä)q¼þ/üöOõ±›Ç{¿üOÖW-nW>á=ÆK±oñ‡/žý“?`žø‘ÔÑ–?¤®ÿsý±ëÄ=G~Þs‚§ºnéñ> iÜx[ó¡?Í÷é·y'gÏgÂ÷û/“Oã§yŽ}tðž—:Ñc”ðÁ“§ã]o]IyûòÐ}_y~´|–~_?~ ?µ;ÏWïõ»véuô¦ïùÔ>W$ä^µÏ™]jO|K>ü'vC_Ï#íÍO˜/þ‡?!7~¤¸‚üÍcâÍâŽxÓ¼×õžÓ[C‰7«$îôýóÆ—Ç{+Æ­õÃâ¸W¦N¿ùäõSÜÅ׆wî{a‹gäN¯Åñ­y¦ñ:ò+ü} ‡»ïôω×kËëäÏä¡¿x>¼ž°çxGç×Σ¿ù¿û¯Ÿ»?zòúÛÿêíp©ºøÉa÷Éúë¹þœëùÝŸm¼ÿÅ~Ø}óFò'_vÊ.Øqò½ÇzWúü7ÜØ:XêÓýçùñƒ=ÓÛàâ~uùšqÆ>ûŽ‰‡òº—x<¼ g4/Æ3x>ÿʘ·òòô]>Š?IÜYÝɸ´Ÿ8ÿ§âþãÚõ½Šñâ…qÁŸåU"÷½7JßçÞGaÿýquÖ»ì}½—þl~Ó¸ÅiqEËS–×Ïy‹Kú¯eçì^ÃLnâœþ=N}iû…ÃqÅ•p ¼¼·÷¬áB×ÛÎO¯ûJ•ŗîSï>yîý!ÏÕž£ñÀ§úÍ^‹ïè‘ù¢ŸÉO‰½l?š7=Æ{°wÿg‡ü~žÅŸÍ^–'à Â3íûºúÍNÉ!¸võ6ù yÐ3y><ä¹Åÿxur¢Ïm‡þvüø,ó¥áC¶Ïü’x½úOÖ£<ÖéÇòäsýRßž?ñÜôs~O_Œ7|ÚÏõGìš¿ïzŸàê­C%y£ëîÜ{…ãç›oÝóÕZïµ®cûwò'wqµþyqW<€[é)½4OÅsÍî|u7íOpE÷#zì·á9åûÜâÉÌÛxþ8<ßö :¹ný㵯ùýÃ]¿}}îº_;ý.ÐÚ½~só'z®züÇñ{o~w„{˧êÏ·ÞòüÈö3:ù®þßz^ñ²:»ë{_û«ptqúõoõþÓ{ëD‡›—¼üŸ”gŠð,;èEòÍùµò™±¿ùgù~êãÙñGìOÈ~µwzi}ñòûðÝO¸ûW/Îëÿõ µßáþÀ¹ë«xTÿƒWÇÁ›äÍ¿”çÊ8ºçú£ÈùÇø—ùi|ùÂÿ w¶îÑxÍ¿•J¹ëþ÷ÿ“¾|÷]xñ•Ÿ—‡%Ní(ŽŠkâGò­áãaáKûIqÝûHýî`¿#üx_?õÁî5<¾º¼»ý{–DZ+í'ý —äb^ÙOæeëñ²Ng<$¹Ý¸—õ[ÜJþ<>š=‹sÍ7µãzö!žâÿôÖ8ÌÜ÷fÞ[WÚï±G=—/;3Oæƒýh¯vÔº¿›ûûý¡Ç~æÉׇӓw<ö•q}óSú—‘»szHÿk쀜G†7ùI¸ž<ÉKbÏÛ.ùøÖ¶ÞÎþé ?“ø·¸yÏ›½E[—X>f£×‹;äÄîè“yÖ^óó©½æçäÕ<.žÚ±øÓ|ÄÎ7þÊS\q4/ɯº_ËòvMŽáeV_#_òÐNðÇöo€ƒ×>žü‡go<ßÞu{ÏÞ†ûà6÷9ú?ÙsxÎuìïׯÇú¿¿Ýçyáqð:Ý¿m¼Xø¼êô:üz¿Cµ÷Pع¿­c1ßák†ÏÄ9z'^òóâ0}¦/üþ’»¥O©ã¶.8^Ú¹úJëÒôÍxãï÷>¬yà炯&W~À¸ÅS÷óÇäÁÎ3›×ä«Í+Æ_šG÷Ão½¾<$¿}Ûþ•ðKy«{^¿Ã4ž‹œîÿ[?§ŸáS&GúÆ_Òý6_æûúõ‰üè•8CÞò$yŽ~àmÈÆ߇,ž¸~ì}Qã"'zš¼áQ÷ _2}tŸž×Ÿ†ÇY|LžÑïÈö½Ýá“øáýž¸±÷8ØAø‡|‹ã=n ©ïíý¦àèÇøè_ê }Qõß9}ÅãÊø+þÓ¼Ðó©½ä Û'[øÏuý“x^\"Ÿã73/}ÿúñ¾_ý­þÂoü9ð£Õ»èípîõ߸÷±“G Â+©,¦Gž›ü`v.>ùp½çÑ·àÚ#ùÂü·çë/ýàS¯.&?zlœæ“}‰?xígò½Ç¾èì€?¥WòŽäË/­[%ïÜ÷Fî9õüœ|“ß^¬ WàDãHž¸÷íÌopI÷ßÜüøÿó×Óïá@ø^t,Ÿ ŸÁuo¼§ãÛï7/ÃÅ£p"܈o<9u_¥ÝíøÂÍþå+â¶ùà7ÏËÃo}=þÂÿésðàâ ëôKþ7‰WæŸÝy®ùg‡ôwŒ¯ù¦¸QÞE|§gòýŸVÿØ:+¼è=ŸßÛþì¹~+x¶ëç7ǶžFœ4GóÍÃå×ÎÞ'Ñ9ÇÚ‡¸ëˆßuçWÝߺVpæöãÀÿñ?ü…ùõ|óOÎúÃù?ÿÛç’«øͯ‡·yèƒ<.1>~S¼à7=ÏøËÐÃŒoùQùÿ÷;½©±GÏ¥wþ^ô±®Ç¼ÆO?êÕä'ž°Sõ½ðTûþ ù†/Š3É[šFǧ“ÓÍC×EϾÌOó/ý¢?îw}ø¾Å¡ð†ëvéSq½8e\áe†é¥ûÌ‹ßÝwÿßú«ø÷á(ãâ/åIæç%ϛ߇Óͽâç[ŸIý ûtMoÃï-nêOüãæŸ_#WòJÜؾÈ쇿€K¢oÛß·<1¹ðgÆÞí±ÎˆþÀOä­¿ŽÉ‡6ßð¸~ó—úG¿/n&ïý1þ†>xçòàìJÿà®ÎkóWq™|ÿ~Þúñ¼~ÊŸbãIÂo­.J>pgÖ…LnÅ‘ü3{‹­nŒo¼y´?û‡Ó×ÕÕSŸÞûì÷Ü7ÎÕÉá»ë§}•ú¾÷ÙwÔ¯;j×~òÞ»nÔî=çñ½Lz{íwÚ–¿4NË£ùW~H»ü]ø´­UŸãï[g0oÚ7OôÁsè=²n‡ÿÞ÷NÄq¯zšºt÷)›>ê7}ãé#;G’Gú¾E×ËÙÿmßeâ/Ï£ïø­oÒ¯ø×áótçûÞ†þw ÿ4¾Ë‡éSêzï€ðsåÁRŸx징ë÷~}©Üµ[?¨~÷\ó̯ѻð®Ö-î;!‰#›¯ØÇäüÏÇ¿ú«âÈàë®ûkÙ:‰é•q‘SpÀÛ{›WòÐ/×›gí/¹ÑC÷›w¸„\´ ¯É¯Ìwýºùà7Ø;ÃÎËßÒGöm>ÂsvÿØéoæau•ÄI÷í»'üÄø2÷“=½û·Ÿ¼'Ïs„ë’¿ß —³/óâwreOú£ìÞ|³+zB>ú+? O0<Ö<Ž¾yø“~gCíovþyëlÃ'-OîxÔÊçÉ+ðšüäõ÷WøÁx\Oˆk‘Ãì¿õ¿çþ­¿H=·ß)Ù¼›'ã‹?[Ôq!z.Nü)ry¬—Êü?ö0Å—ågÄ3ú’üî¡ïÆË4ÿ§r>’qÖß=Ö¯·ÖÏ$.,ÞÝï{oîÂ÷Á›pfñç nƒ÷ð„{?H»Ž'ßǹöôËïð¢ók¿ëU·o’çêgyò¬'Y¾NžæÕ|Ç-Þ3?¦»ûªÐÏð ¸R^éôO<ÝúµÔ«ûIÀ3æ[æ—’g=Ö3ñ§üapˆsû¶ýSå“zQßÇy|¿Ižñë«…ÿoqxãÇ O[¾ö±ÿ< ¾›÷ð¹ã÷ä#úgæÅóÂwn=y“küçìݹqÒ3ú¾dó¾mïS_?ðPûN=áÅ}ò ÿÝï}¬>tÏýýÒîéûâ?ÿÅz®ù!·ûÿÞ;`±Û?%”ïؾÕâmæ­~÷ÇÈñWz`\î£Çò»ê¿xÎOÐ_Çð9åEÇK/?B/´#ž…‡ßÿï,ûßlÜe‡ükãÿKïá~ÍøÈßõò×7>Þ·á7É_¿Rç(÷Ký†vk·äÛºÔ]ÿÙÿÙqêÏËû=§õóJÎÍÙþ˜Wq£ë9ðžO.ì¦x‚}‹ üôÝ÷ùï¾Ä¿Gyeü û†O_>™vÂÿé=ä‡è<ÍŽÈøʗÓ[vŸzKy‚µ«?å!¯?ó37¿øßÅ ãs~¦µx ç/¹'ή>FìÆýú›:õøÐëÇx Çò©æ…?_Ø%Üvχ¿Þðß¾¯ã>øÎ9üxÏýîëÑõ7ÞáT<æõw8¶xWOŽ«‡»¿Ï ^Ý{ £â œãýUœ¤×ÿå§æ•žÒËë÷¾ŸÈðWâ—vù‡Ä«á_q™º.þiï»Ðq'xaë•øqýâOä{É›?ÙÑžÃ~áùÕõ¯ñKüÍü»¿¶ïÄéoêN]'Ú}vù7vKþÍóø í7n×l~Ø›yJ=`õMrnœ _ºxŽ/ÏïÃô̆,/?H¯Ã#mýªù4?Æ[}—É;8¸ßé]ÝÑ|TžÉ«ºŽkþ×8ÌÛÙßÈG;â*y°ÇÔÉÿ”~L.‘Ûü> ¶÷¬ü^hõêÔCǧèx¥¿~oÙµ¸©ÿâTðÎêê´ô„>ósü‰yMÞ9½U_ÊS=ˆŸý±óëùÎõ›¿#O8/úóØR<—ƒ{‹Ï6NöøÞ÷Ñ~)^höÀAþïh>ÈI"Wí×âÇ~ŽßܺÃðóg_òƒ«3<ðýâïèý…OÉ=öò+œ«ý»<:ÿXþ8øîçÄ“ÉÃ9½ˆ¿™¾‘CyÍÄÙéýˆÞ÷;Ä‹ ú£N ÎâmõÃóé/»Kœè÷ ­·Þ~ ‰Ë÷ÅÂ[=ö—J³÷ˆOòøá9ø®|`ñãýÿ#|é~øžÄWÞyßëþ»çÚ—ý/S/ð¡7Ÿ«§Ÿö}õÓ[ïÕÛöQÇ­Ó/ñ›ÝðÃ7_ðÕ¾£ ·Þ¼á+Æˉ;âUò§G]CþªÏïܼ.^&O^§?Ὼoâc?[ãv^´öœÑúîƒ÷,¯`ŠC¯¿Š¼›Ÿ-î™k_{ë®Å ýßáÙð¿ŠoîgÿäÚõL³cz{íú°ŸŸÈ©ñ‚fïüIâÙê†âÀ«3î;ôÁ¼fýC¿§=ýI<>f7Îߧ–‡Á¯ø)ù 9äºávq)øÆxñË£á_ヿŸyO~z+~ˆ­—³vj^ÅOçpŽùÒNpàôIð}L~ùØ÷ß|ñ3ÁûÓÎSø¶å]üÊÉÙqõ!Ï•oñ;ü+|G¿\Gôß'·äAõ@ü {Hž¿ñ·îªú™u ?Æß?èz’ØSë÷_Œ3|ôþ¯¿™ï_¢Ýkû¢±3ý§ÇìÈ|˜WzËoÉwÈß ?1¹’'ù§°û‚Ö?þI{Žâ¨cåûë÷fWáS¶> <ÀêŸæ5øàÃõ ÞÚ>D÷œ}/èîßupÚõkë%ï¸upß?âAµÓûn\«›ßuÛ'èôtuw8ž,†+é•ñ›/ójžÉ›Þ8§âÿBÿØKòàÍ;¥çå¹Â/÷;¤óÏpMðÖü'\hœôÉø®_㯌‡þ–§Çs†÷™è_âQ÷¿dÇäaÜü#¿, ~Yœƒùöؼ;yçòFׇGù%~|<y³kþ×¼¸¿5®ë÷äiüן_ÅKú¨á³ïùˆŸðªÿ›GrÑ?ã7ßÚqž¼¶ëßgáE‡Ã"ŸŸÆO‘û'è—ù`Oá×ë(é½y¥?p˜8•üzGÍýM|/Süš:Úì#qh<„|4¼ÎŸ’·>Þï;õŸ_aÏêýìÑuåKŒäO´¯Ýßï®»þý–úòô€þ‰Ûá§ß!+ÿÊÎÊÿÁwñ ˃«å)ÉÛ}®»ço’~²SÏ—/•ß×_ò úeœæáìË>Îêû³WòÓ¿ä3û]>KßøqöÛ|„Ÿæ_éÊŽøv _ÍÍ«ù,ÿç±>’~9Š—úYþÓü˜g׿øÒ8gžè5ûâwô;øov;ì~ý÷VÝÇ^’§.p=?×ú“ûÍËÙëêpä¤únÜùÿøyþÄïæ‰þž¼«~’èxí}„ßn¾?›÷œoóÿ}Ǿ¼ç8y~8y}8y ¯ú¿sø¿èÿůε›ëÆ£xWq7ÏÁ×wëvû~ÊòøTÜåØ3½ÿßïìYž)/M^¨Šžý)ýéúáGžž²ëÈW“Ç?Öe♲~àQ‚Ç]7™zJ¯Ã«o¿’ØÕæ©uõÑÔYú}™ñì×|§^4;—Ÿòú!‘ox‡O§ö×é~4åË秎vâ÷ƒÏâ]Ïþ›¯²òÓ/ãrlý8r^þï¹Åg'—_õ/¼ýÇÒzÊ΂LJ;Ó¾·±|os÷ÏŽè¸@É…ÜÈ“½‡ßXÞY¼g|N¾±ûº?ÖÉ$om¡ï…tÿóÕ#‹²^¡8d87qzíßÝ·÷ã/ûô³só\þþ`æ…½˜·ÓÏÕKËÖOy¤_Žòø-ø|y2»¼qÌÿ›ç“ý îú98¡ó²ùà¿Ýg>ÅØW×ì;%úü¼ïQÑSqAûáûý‘¾Çôø.–8Gì”&wýŽß^mAïé%ÿ¢ÿ©Ë”GZŽ_x«³%^u=Âü“þ½ð€ïZ‰·ä~Ïù­y;ýu}ý*?b{{ÄÇ$Žìùžgî:û¸û·_Ï=ïóNnÃÎ]§Þ}ãúxýØw|à><¤ßo¼ÖMî{?xI¼¦ó“w¿gŽoÝûB÷»ýΫWô‘_|à©æQñO{/Æ9=¤OôñîÇ .Þ”¥>¸ëéKò ù“Ú•q¨ëgýRð}ÚûˆáÆŸ‰ÇÆ ·Ò;z)N$Žý@Noü(½m~{Üøô§|˜ùc?ÉÉãó_Ÿ\Ù9;â{ßsÆ'©Ï±³úOúàzr+K_ƒs7oî‡_Í?^i¼ 9Ðù{øíå/ôœƒè›8’¼¿û*w}ÄÖß¿¸B¾7äJ/´\¹8Ï^üÞüH¾‘¼n8¬¼8ÄŒG^QÞ$y×âGx¾­Ûsë®3þÏ‘‹þÄ®‡—_¦N·|ËøøídÜ]÷»u>Á¡›úN¿Ìƒ~“<ŒŸÕò)Å ÎÅÁðÒã?ƒG~‰_Þ>™äÈ?;lþÅ¿…Ÿ_õ¼èÿã{ÑÆS¾M;ÎÃoÿCuìÈqr'þÔ|ú½Ý¸¬{žoÞfœžŸþý”qï’/î9ô…4?æUûì<ó=»ˆ?š¾G¯ÞöŸ|â—õº´Óý¸¶O}ù{z¤nãyò—àöå©ðŒ8Jü_?Ä…àŒÙ{2älÞ/Z¯?yrßwóðÿŸùæú¹ï];¾´ïû8wÝù=¿ï¾ëçÚ½ñ<Ú×®ë®_ë<ŒGuÿkë/ïúí{yíï»:p'œ{í ß:ºþ溺þÍïc_N|©þàMŸœ߉÷»öNŽßž~ý-\Ï~çwåùô_|£WáÅ÷ÞLâÌü>» ÷îNë÷Y‡Cbߡ‡g/ôX;ü~ðööû+%N³ûð¹ý.áâfyýï³ñ†ïn}»ûß>¾;«Ÿø•»o8/üÔ£©_×ÞÞû(ÎÒïòïå?È›ÿ¤7¾áeúR^,øxó߸qúµýˆî¹Öwû}û˜¦Î´º?îÜÑs‹S×?æ›üøKøÙ±¸Ú¸[·ä­ø¸‡ÜÍgx¢Õ©[wð;;§?p\HNÁ}õ4ðŒxl<ô™}hž'?ýŠ=mŸ@z‹—K½¥ù"½þ-×ÍîS'|äáÅ»OÑòZ~ ¯d\æA¼Þo»÷éÌ_xœ~×vù&;,ïÈ^’ÿlÂËãMË7¬]÷‡—Ÿ~‘gqsp}×-_àïÌsôu~’Ýðô#úõ¨»^\¢¯7î_›‡·ÎAOÈ`ž‡è9ÀQî÷ÿÄŸéëÅWóÁ¼Ç™?ùUøÛò#ÛW<ùH×á¬?ì(q¼õ¡ã÷ûž²ƒÈëñ=-öæÜü–'¢GžÇžè[ï#öT^ǼéßK»æá·ðWÝ¿zë»n¾†ÿr¾¼ù΄?ïy{¿_ ßÝóí¿´÷“ཛ_ûqŽ×…‹O?öøSßýp%þUàÉ»Þ:Õé1¿~ý—ÚGðÍcŸ×áµø‹ä£Ëùqq4<äô‹ž·î¼õèÅztÏïþ~êë[~r´žïÍ.OÓoñ;z?A~©_ è¿ÿó«ìVûÆ…Ÿà?N/¬S+nŸ=Ǿû~ã/ñ§ýnõpdøÍ~Wlq?½ñ‘oߧšÿ'×Ä›~ïcþ¯þ=|Íc?׳׭k ÏÔSW/ '‰·Ã­‰ûn±þ¾áNvƒ¯¯ÿ¤gžg>ÌcâÀx#íÓW~úúiÝmy¼É³8þs]ý:ùîg¯ô…¼Ãûý=uߘÜÙ_êk“#û¦_oõßäAËnj˹ûé§ñ¦ÿå÷6åë¿È?|ªëñ÷|ýJžú{ø‚áð[¿}þnïíÔÏ°3÷Ó›Ô]×Λ£çÉsS¯íwoúâ~ÿxü9ÞÔ¸ù¸…+Þ'ÏêÁõãwv$>È+ÊŸ³/ý$vŸñKÚUOºy>§ñ³ãùášûÿo׿ÏñÛ]Ÿ90>.þì±_Äý¾z&üç>¸.u‰^ ßþ¯}yyñå~våx㑇ÁÝüýý¾|ñÚÕßßÂÇ,_ã§ØW혽‡Û¾4ü9Ósüƒvá-8©y!»ap`ìúóO_æ÷ýNËøÒ—øðKãNùñÍyóøÉé¹XÇ _üœöô#~trÓ?ü”<6xbïå&š~—?ù®^yíùžøÞ+coøI퇧Üw:ŒŸ>ÁŸæ/Iâ´ëcßÃ[þï¹õÿŽôÃø‹ñ§ãsØ[qG®ë> ‹·ü<=€›àb~ˆ˜§Ú=?>óWú'î”$§k÷×èÕO/z7þ–\´‹M½`v£ýÌÏäBõ›<øiófvßãSÌ¿còúèúå‘ô‘|áµ›Ïí/Äç?Þ—6þägó·Æ?¾ûƒO¶Ïsêóáïöþ*¹Á+Áíã±È½ã¿öÉeýÁ‹åèƒ| |éüû¯Ÿ­g¬Gžú›ºÏâ@烟 _ÔºÊúɾ͇¸ÄÏ$¿yÛn¸›½ó7~ë)ö>Ø]ÿ§ú÷ò0á'†Ëé»çñWäpýŸ>$?ê~ò«3Äîá°íƒ‡Ý¸v¼þâ‹Ó÷ã3ý¿øï™çŒwt¥.±|´x†Ÿr„#O~#gõø(qdq”Þ‹›æÍ< ñ}_G=úþŒÒræ?ÅC8ÜÉE۸ܜUžnøÞO]»ëËúžËöM¥gü˜ù _z—zÕ¯ü= ®êºÿƵñçž{úõcñœûãÇööLÏú÷›v)®‘Gyÿ>ù³ãćãyÃsÌÏ×O›Wq/¼r÷ù{ð)®+O߸æœþ–Œßë:ƒ®;Üúü·y¬JÞõ¨{š‡ÔÃgOð¬yÀ˶Žc~‚Zؾ•sð]¿³øÀaåÕoÈ¡ó%bÿÁ?Í÷>ý_½É}æÕ1u‚Ÿ3“÷K}dr4>vžuïÍ›÷[¯ë¾¿±?ý`×áÇgW÷¼Fשmý}ÏÄÓ¯Õ×ÊóóïìX;Æ÷‘‹|¥<ÿÊNÒ¿~Çaù’ëÄßÄ¥_úüòÉK6Îá Ï¡¯~o ç Ï•çƒá´ç~‡/á;8R»øMxÒÿÛ>~Ôžÿ·]Ï-ÞÍuŹ³sò`Ÿâ.ÿÁOƯm½Oæ³|Öðaø½úzÛ8½xÆO°qBýʼõûSãù3q‘ ?3ûO¾ÚuŸó7±‡~¿xú#nÑûâg¸,ëEöþ{xYx¬v´ºcí!v<>FþCÏoÆ›Ov(^’3{+o:^¼þ}ë'o|öé÷£_é³~« Ðúéùâ6ùÓƒèÇ⓼Zñ!ðÊÿ·Öçêô/þá±ÿûÐó?ôûéÙï7ÿ?ÈwùíÐýI¼ÿM^ê¨ôáŽ~gŠ_{|“´>àÿp /|¹y…³ü×â÷OØ]âÈxKý÷ÿðx‹Á³Ë£2à úKnü!ÿ|Y܈l=aë«å_ò–ò}æ“ü;Šg­O‘§¼‡^6>FæNîòžÇ÷¹ŒÓñž÷ùâ§è1y›OxŠ²_úÍ^Å_ýJÜÞ>ÆAË·óÓÅÁé?Å/oý…þ¥Óõ*[÷GïØù0~¦õë÷x½ë×ð<'^ÿ‹#[Wö>øpß=§ïå|¼ãöa?=ݹþÁ«'_¿ÛWé­^ÿà9ÙqëÏ壒_Ǥ.²|Œß§åÕÙMòÇŸ«ßx™ð¿ò›òQù8}çì|ù 8ÐøFßåwÑ‹~gañÛóù1ã ÷ÁWãûðLâ­øÜ÷èOÎ÷~}ê“#yÁìƒ_‚]oœú™:Æêõÿɦ‰;}oî×›¯ß‚ïäyÃéüö]·õÉ›{?©ûjMoù¡æâLóVñ9üâünxš­+àÏü.Þð÷žw¿—k} ¼€çÿ*®¥Îû}0¾ðÛ÷ìÙ+=h¾åÈÂ÷ŽoˆÝú¿~?;ßziùaëÁa³Ÿ{>¼¶¼Ï<l]éoëè¿Ã~î:8’é~Ný²ãgßÑ ~xÈ?HŽü3¿ã>òϸçø|ȱ/úá¹p!œËÏj'8Ÿ^î;ÄpFê ÃmðaxäÙ‡ù‹‡ëöÞJê'ô¨<íâ˜vÙ]üûp)9'»*¢ß}Øuå ‚Ïú~ëC.úÿ¨_ýž1}ù9rx¬oäWèKðþô—ÿo°õôŸø™ðÕáAƳù‚óàú«ÿäËG³8.1oå¯ùý¸ãgúK¯ÙçÊ'ñ{ðⵇÙs¸¿xýÚþ<ðZøÀ}÷¾»óí“týí~Gßœ<}'Ò}Ûwóôøòú»ßËkò7åI’ßn>Ê'$~÷{ñ]Ÿ1¿Ã%ÿ躥=W;yîpû ¶|‡Ð'ñÿèœÂ‹sãÓƒ‹æ·µÏñmò8 ?Ïñ§p&~$yîê¸â狯7¿¿‹Ãä£~HÏÙqøŒG݆½8g/æ7¸G=è7q_Ð>;%g8Š?ñ~1u²ŸãëxÅmø#òZ½æ®ÿ ŸÐ'òáùÏmEÓæ'xañ”üè);¢ÉZgŸß3?ôD¼÷ûéÍôJæëOñÃðÙä|_tÿ€Õi‡½ó7ì"yV¿'³õšúÍ/‘Ÿ<Óï×oë>ÿÝ—8QÛ}ö×^òÀÕIþ¹ý¿ú+q@ÄÁ;_½Xž”ºÀÞ“4>óìyô^¹sùåÖ7„w_uòdz÷½ªù½“ëÞ#-ïkÞÌ#?HŸøÑð"ï$7¿¦¿ì ßÿ9\Oþü§ü*rÅõ»(ãƒ=…÷™ÞÓCóJŸõ?¼Í/‰?æqõd¼âµ?vóÿØžüÚÎlZûÎÇ{ú?œê>ÏÅKê_Úy´\<<]ž°yœåÿô¿_ùú G¹Þ<ñëüŠy¥¿Í/’7>Ö…‹Cþ/~ÈWµ\Ñü´ß¿||/¼÷êðSâýò"x#úGX/Ó÷æ·^²ù³þ‹sþ^¹ßùØúÌÃx&øšÀÑðzâÍð…þ 'ñ¯äR¾P<ÑŽùuŸy2ô*x´ë¯¯SïÞ‘¯„7þ‹ï~5[Î.È뮳~ß/-?¤øzzªÝâ<øiäT~K^ϾýŸ^‹kø¢ÔkÇ_Ò{r '~ŽÕNy~8Éóœ“âÑòÿ“—:ëòRqP^BßµOŸé9½‹Ý/#¯Ôín<©Ü3ï;§Oä®?á3»îvûÝê »N~2˜žÈ <·ó_~Þ9{,ßÚú<}u]øµùÇ“Ãï©, ߦ¿óô0ó»z2’ãÖißùä} g«ké7{eïÁ}øþ?ÿÃù%íò{äFô'8v|`ðW÷¥\|9ÿð»ç•g¡¿ø‹ð…[Ežô—œù9vZ\èyòPñŸÓãò\~ýðâwü4ýO’üö±Ž†ÿѾy(ÿ’q÷»~ŸÿãùAý*ƽM}qø O ¿…_|¬§ô;Ü?£×ïáЛ÷Çþå~wî¨ç7®¿=ù çÞÿí_Gn¿K¸’¼ñôåe]Ãì3<Óâ}Oá}ä¾bŸì8yËŸ\OOűûý{þAü×oñ‰>¸ß8Â7á3úðò@ãü{wøýñ™­'Àküvx(øm¸–=Ð_~)~>Ã÷Œ‡äÏø‘Ù•v=^×~ðD÷ î{©Ë;ü¯’“¼‘ß•4^„-/ôXOš||~^âiù½ÔYÇ·ÑzZ|L/ðuäWÀßù½ûqŽ…CN>ŸóÃæ‹ßb¿ä~à÷ë¿}Ÿúµò òý¾g»¸ÈŸÓ[ý(žÍ<-žÀ pÿ!ЋŒsq¤ü¡ÿë§#} OðMxÈOú<Ú8µý·¦_©§¶Þ¼ö\—|yu`zI£ß¿äyÝW«ëu»ÿϵoò.igñ–¿Ë:€áã>˜¿Ó?öŇç›þi×<µþ¢ê#ü§ùÏÏn^œ³SþC¾‚Ϭ\ð ~Ç °#r2^ã`7ü†ß‹KÌSë ©ó•ç_}€ÃßÒgïåÐ'ß}Ï[À~›ÿ&ßþ%ó?k/z·x~ççúiíŠôäÚ±ÎâWíTÞáÍʇoÝDx›®·šÝÁÕõOpÜv÷Ù‡òÁWâýŽßìïw„綎 ?âñ£á‡áF¿kÎô|8X»ðpÿ¯Ýò¯ú­]¸Ùýú|ºëÜGŸ~ ÿ’—ëNΓÇ]ç»H¯_¾¿ï ]íÜñÚß÷å“'6Þ°gø4v?¿^ãÃØŸxázú;ß:”ðâ×ì-õæ­ÃägNþòð}—&|A÷A_~ªòÒàŸÉ'~{ëD¯½ßÕío^÷½~€ßIÞÒõ‹·É&ßòPxâøó_owŸv·?ûÝøÅ“æ ð™~§v?ľW=9ÊsÈ׸Roì÷ë׿ðãÏͧ<@ÞS^Ÿ<½‘îý׋‰ß¼Sÿ À·ðÉõï·ä‘³/ñÂó‚—WÑk8E\ºþµ>[ÞvñY\ Þy¼EnŽìCÿÈÅýò$zê¹±³Õ¥éeðôò ¼ }a§Ú¹öÕ¡‡Çàó?àz¸êQŸÏïùê@ûÞÃûwþïç>ù;>B¾‘y_îºßâo¶îż3ùVÏÙ+û _ylê:æqûß•Ç3nýõömþéŸy¹ö¶.×ýæÙ»¡/ì’˜úÙúûfôÜs‹?K~¿õ#ì‘>zŽxÿ¦®0\^¿GŸƒžD/6Ï/ùã£NJþáÙ—WÐWrf×~÷A`§Ówz}ÏÝ:gzO~äÃOÑùNy:ý3>v^üzýw§Oü˜_ìV»äY{‹ß—ol×/¯_ü•#{ñ^\ëëŸÿõé¯~‘óéþ¥|h¿kúsôvëBÌÿõßx|‡\á r ã ~uìw$ëqé+¹FÿoÃ?®N—ócò8€^â_ƒ¯àª­§öüê;ÜCžá«V0ný¾þl þªâÏè…ñÁÅâ’~{^ðÉö}m]B oøÎ[Ù«õìšãµ·õ7Úãw’Gw߇Ղ#ß—tŸ¸ ‰KÓOñ ñ~r–ï‹¿Á}{ÏÖ¼…®p.žñGäB¿éò×­CqÄ/¾éú‰oî¥ïÆÇ¿À1äOpؾó;ÜyÏWwÇWŽO¼ßñŽ¯ã)ñ–ðèéчÓGß·ïÑGø²ÇàÏ­G€Õ»oœã'7_äȃç·á'öB/ÂÓo]ØÍû¾£ _šwq%þ7ußÀÕÍñÚâ¨qÐ3þ‘ÄOÏ¿ñ'îÓþŠÿd××ÿ}Çœ}ÜEŽâøÿÿ¾}¡ø1þ ?þ®õµ~ÿcï#Š‡ä'…§go¿Än—àþ¥~_¤Oá¿[/þÛ¹q‹³î£pipM÷³ß>vå øûÄ“ùeúÊoð'žóÆÏ›Ÿäù|\Ro™þÓ/ø…>‘‹xËßÉo‚7¦Gá#Wç¼y°ž´ëƒWg'Æ•ºÁã{ žc<䇇T¾þÙßyuRz)î'®í{5æŸ|øöh~ËG%ž7‰«Ú1qíîÿãßþsÿ·½aü…眼~¿ÜÇŽé«ü-|çxvIŸÔé9¿bœô‚Ýòsø.÷7o.æßy¿<½ù!È¿uÒ­;jÝ÷Æý{ç¡ŸäĦÎ=œzUë¾³ã‰>Á³S~¾1ßô]þ/Þ[ó¥¬Û/‘ücñ)ú6>ÿ O¿úÿT~™×oõzœ¾8^ex ®Õozb=ϼ9×.ûàø=þ½°«âHù­8ØW׳'ú'>Ã#x vBï<¿üEð4œ5þO —Á÷üãÞrÿý¸T{îs¼ö¶Ï>ÓÑ}'‡G»êê~oº}9=ÏÿS·°bþ”Þ™Çø™½‘¼¾û/lßÛûÿÞÛNÝhqn2/©Oð{‹GôG^CïÅqqž?e×áá‡ïÄ»æÿð ? ÿpZôn~΂sÙ9œÿV?Çϲ{óÂù-¸œà qŠ<ø=¸B>¾k¸ß2Æ'ÁgÁý?U/ÜG^ø ~ƒ¿ _8‡‘GxµÕ™ÂOÍO›GçÉë—O'>LÿȾª¾¥î>ž;|íãýùÖ{áöþ¾üî¯ñ£Ýçtñ%xýu_ýò¤ü«ëøÉàÓñôôD¼†#éôQ7ä—ôÐÿÉO¿ŒÎ7Ïæ‘|—Êïoý€~‹¿ÁAÃáá#7ø]ý½ñÙ¯¨v5ÜÉ/Ákò |ý¾v7®¬{é>þýþÙê‹žÇþàºà­K ¿æ_–÷ðá õ{~A>@¿c÷™ßŸbOÞ/þ0Áûî®ü |;ƒKàò¦Wü³ùãȇéy!OøC>߸Ï9ûHžôsž¿}ªè {qž8¹u›žGO´«_ž×z®8£ŸÁÍóôŒð_üZòÖÇ>Yá5ú>Òöï¤Gðnøpz¼ïsÑ#vQþUÞb~ë7ÚÞiëUøÙÈÎÚþéÎáH¸îæè:üåÞÛq~òXÝ…¯îºñ”p`xÈÕ³µsÏùpzóAàÌÓÕíñ1‰[ÃW§‡ü{iùñSq‹Ÿp=’ç®^ažÍSð<3?ç9á5¦ü |Ç/²?x:uŽÇw{Ù±xëyôž¾‹£©­.‘|§ë·ø©=‡ýš‡Ê/yîÞót=ùi—Üà ñH?îzþxö~÷}þ/‡Oá_~žÐŽç¸Ÿ¿ÕxÔ8Ø­ù'ø÷àÒæÕÿᕶ_ ÜËÏÑïèÝxQþŽ o°}MÝïÿæ'üj¿K‡l=ŽùbOü¾vŒ¿þß¿äŶ^ ./Áï&//$þ‘—y ñN|„Cë¬néÜsÈŸ>’?y±ÓÓå-äLjKâüâzãgÏæ[ÿý?vÝ}—‡™×ðÑýþÜÞÇïɇð?â«ûÉ%8¼ë.«—›vš|m¸‡Ý±7þ§øŽ]ê^^>ÌÏe=Ãö5 ÏÖïi Oðô‚þ÷oÿ6÷ë?/^k—¾’Wx®½·‡÷cô]Ð[vî:ójþÙ'}îžÿ?pšûɃ?ÆÿÅ?ô;(Ãïäö›îû5ä(—oè½2x”œùã„þ{~ÖGŒ'}n?{þê€üºyïùxß*~_¾;>€Ò ç©_­®yÿ߃3ã§ñîŽ[Ÿˆo¼ñu_÷oñƒ×¯¾_>ˆt\Š—„OþÞËÙùõwïÁŸg7»ßÿáJ¸Ï|Ù÷PÈG}aëžèÜ•ºÃ¾¯š¸±}Á´>Ó¾ãõùsñ‹_ îï~9Ë›ÅW~áôb¼({b×üCù;úDÿõ«öò’ÿï½zÝ<—¿'é#ÿùnýJò®ñ"ôZaWÁ7ʼn‹Æ-oߘ=%?ÿf|ÁÛŠ^°[ùª~©pRãbôêñ¾“~„—^½DœWÄSã(Ÿ*Ž´~Ÿv­Sµ.{q…]‰·ìƒ]„WÜûçúü¶z > _'àËR\œ4ð9ë/?N¯ùÿÈz/ná)´ƒ'€;Ø#½òÜ—<õ!gþ~†Zœ ^ZÝ€[Ì7¹\{{ÿÚ¼™w~¤8¾²_ý½ñªkOŸè©û›]±7v¿™g¸Šý‰sâ<ý5îësør o4†ÞjŸß ¿?Ü$Ï’/w^Ãïl){Üõã»+/¼/.O¥GÆY;O¾Ôï.lÝ9ÜÇoÊ#’Gî>í¿Í®ùSvÁ‹cð~üÔò¸“žë?ú.ŧý?þÐïŽ7Þ«sép0´øѸà`ø…Ù5=’—w­žÅŸÁ+üü&/ù_øÂïžGOðšìSÝüÊËà¡ä‡‹ᡆƒðmü!¿e±›î¯Ðï¼¹î÷>‡Ýùžqdgò-í&ÿ|¼÷ήث|Ö8ÄOúÞ<Ô>óðìÆïìR¿ù3v^fë§ZÏ£‡ìÁxÃ'.Ͻ~mÝLøÜ­ æoÄ‹Ô§—ÈÙ<¤žþ¨ã³ÌoøƒýŸÜÌ{ð»ù™?w?¶ŸøÉ>Ù{©Ÿý»vÜ>Êâ=}0æ‰éÿ#†OÿKàøÀÿ'¼ÄðBâVß÷šNž½~„Ý>Äô.OþŽ×Àé7\C?=—ß-¿/®‰çì&ùÂêƒám¦÷©W€ËÉ‘¿p½q'Þn½¢þopx÷ÕOhÈßïô/ó:} ï3•¸²ïÚÞóÿ¸ñ¯¿úåùá]«ûN üìæ~Ø:æmü“øµü[ûâ \‰×ÖovÄ?óãä^gy}3ïæÙ¸ÉYÿ“_u¼v·. Ô—Š·ïüÏ>´~û±>„åò!~)yðê8®wðàä“8_¾tñI=µu6óÞÅõÛ¯ÇÁm×ï½ï]¾î¼öÆÞsß•¼qy®ï–{ÿßúÍ{Îp§sü(¼z.|yzõñæã#»O\XÞ¦N!ohݾcßâ;„ÂÃuýÌâ}òúŸ<îêwœ¯®`^Õ¹2žåËâPðõp²çÄ¿­>ÐušË‹õ›Þ‹ì]ü“&> ÇhŸ?¢çü;œ$þhŸý;šó#Ï„Oå£ú!nòCòcòäÏÈSœ,£Ÿ‰ÃÆÿ9<ìê òÂÔYª?¿ógÆ‘úëäê:çá³Vg¡Ïðü^ÿý_\<½ø-þ}ëeùúÍï&ßb¾n<ž«¾>¿Šï¥oâexÍ黀KÉ›òóúÍ÷×ÿzOoþ6üÑðsz^}qÃóÄ{y„¸£ß슮ßþ»ÿù‹u!­‡-nŠ³ðýð<ó¨?ü9èÙ:8}åwõƒ=ÅïMÞìÁuþóùù;ýå_ÉS|kÞÀx¾ëõ…›ù©“ÃöW•Wò7×þïpyynxÕá¼2œu×Ù?xö«_å-á]ùoòýñYì)~qz~wþM^Ü9½ ¿õ·wüüßξ“¯,o6ïáI†ëʧ™'~Ÿ}±szmüæÑ8ô#yÈö/—ÈSé¸Gá5öRœ™×Çøü¿¸¼øüæåñ=÷¬3Øz.ñ»u¼ ÿ&î²_qB{âƒ<5¸¾Úw{ð>îgå=Ÿ_À³{~™Þó›©#ôýŒí_ÂNø#üþ.üD×ïñ«CðwüQðé¾_ym])ήÉG?àq¸ßf×â<ùê·û’ÏÿÁ_äeáºð«³ðûä©?âžçèGðÊöÏ#ý§_ü”çÂæžzFøw8~¼!®ÂÑðmê{[// žè{p;\=¾ˆ>‹—­èŸüNÚOñ€ÞÖ~ÅËàè½_ö—/ñêøTqˆÝˆ§ô1üUë{Ë[åIäo8-ëbö<ùXâÝöµ÷ê?½Ò¿Ô¦Ú¡/ðáÉ[ž²¼„>?|“zþx íÒw÷™Ÿä{Û—†¼É…Ø£ûœ“3ûSŸ‡[ô£øCþ”|fö‹òáaVV/c×Íÿ˯ð›úßG†/µËß“ør÷ý5óäýø­G0¾“×W/šÝ‰C÷\òÓîöA¡üÜÉo$íú¯ÝÇ^®]ßÅíw£'?ù5ýÇÙ ¿™80œ§gä.’'¸Þ|ÑCÿ—ge]ÀÞ;gOìÅŽ‹ ŒëÎÇŸÈk㧆ߵ›¼|| ?lëÙ+; ?±<†WäñÀ{xVG¿çÁsÎË»j×}Å“'‡ý^|èùp¸ó·~À®+îŒ\¶{%óÀ^ƒ#æÏÌŸxÀŸÀi/uòí_ÄÑWvÀÅûÔ–ï‹Ãâ#;à·+õÃù+öì¹åáè³ñÒ/u=òp=»O]búŽ?Cø‡âÀø¹¾WÛuvòì­ãq¼vÿ/¾Ø×x¦Ô·.T<À“ÂÅ×?ñgüù‹?ü_ù’ë§õ’ãÕÂçÎo¥®ýÀ«‘³ùçç7W?çgÈE?rœ_t$ñn¤G‰KÛWC¢ÿò´ðÌïˆ/î3.rååMð«q$_Y¾Ã\OŸRßÚúÙ¬ƒ(_åùÍOö=möbžÔ?ø ö*nÈG¯ýßé£ûô—Пðo[’ëÆ‹ÃÍáðì«Š“ò¢ä[‡)¿€Ãáßð–ä콞Ǻ:×ñ‡pˆöÍŸÊsøƒòÉð}ƒO̹ãcÅzMŽü†ù»~ÏÞ³£§ì _—üoy6= ‡úW~3÷Mè)~HáY×›Ïå׃o§_Îéeóhv/žÐGÏM|wÄÇßâO¶Fãàxú{ø><Âgy'ÿ(^óÏü$»)þ4ãâoáÃŒó,0/éçü|‡ñ?ôŸ]²›ä7õƒ³c<3y†GÛº9óê:zCïà,xÎñž÷öÝõŸZüçá]×ûûÿâA¸±¸ö WâE‹kÓÏòÖ{?’Åy“ú \óü£ÿ‡?Ü:x~%ÿ%~`ëÆðîK½a<#¿È·øCzâè:ü™x ?úÍ΂Ïú«_ƒG¶oüg§n6þ.ùÙê쟞ŠWŽÉ/gØ›çë'¿<1~š}ÂÏî÷<üXpýpÒõç³¼=ømïÙd}ÒäÄÃé©-o?É™Ÿ þÝ:$òö|q_àø%ò2ÏWËï¤^n¾>ÿçù& ?‘OòáÕÍèAø¿ÿ·Ð÷øÓñ¤äB^ðýýþùŸ.îñ»ü?ýå7Š‡ùü,<Í~ÌsçÛ¸à™Ô‘‡È7|ÔúG^ð>} ^Ü:¢üò!Wó¡¾^n¸)ë ¿Ä}þ‚¾°oüðìþM{Ã¥Ž® ßµ÷®Ø³xLîâ"üÃÏÊSÓïÕ³K¼—GO.ŸàÇä!òxògßæ•òk©­^¯Ü¼xÿdòãçá«àìùq#õ’åUõËìÆxÉýúµº½Mþ¸úÂýßw„»oÇô„r¿uáÛ÷‡üðexMãK³÷S“·m7þ­#bgä½ïwè‡ÛÈß‘ÿJ}l~°|´çó·âšù2^ó£]~€2¯ô—_”ç6Ÿ0øŽþ¼õgúyÏà08ïž7Ÿ?Âkð\7ºîkÝZûÅ¡î‡oˇúÝõåU{?ÿ/®•o įn?-qµë%øzš¸ýsâóÖãÀ§ô þäoø/ù.½ŸÄ úÍßëê:q!þ`ß—Ïð(á šm_8‰>뿸þaõfy~EûüÑê2p’ü^’¤¾ñ™Þé/œÆ?±ïà¬ùa~üúÑ}’ç7èop¼º÷ÿÇàbþP\å³Þvur¯ôŸ‡_àŸÙ“q·v]ø˜ñœø&þÌxÅÓäg{_ˆ|ùåà×ñzðCpÉŽÅÃâ´ñË+þúžOÉ~៓¯µ.·u ä ¾á7ªwðDð¯çŽOd—ð y›÷Ä›_¢oÝ?¥ëA÷^ 9¦Þ0=Iþº:¼ßùãÔ¹z.;¹ù¶Î>ˆÛƼ¹ú:+®¦N¿uÈŽô(yýú›ürëÈ£qÏA×/ï1®î oÆ~|?ô÷Ô|»aò ñHœè<Êc^æoþíƹï9‰O®·´ï~ñ¿å™ÆCžôS\ªÝÒŸø›­%Gúÿ4Þhø,ü9­Naˆá?8Œ¿ÓŸàLy€¼kñ)ñ~~Ež¯]öŽ'ç?ÈŸÞÞó–Ÿ\÷¾¢øró4Þ‚^ŠoðÙ]×}ηþòÆûñÚ¼äÿ®×¼zrè>F[oé¹7Þý_{'}ïçÆñmž·÷§NÞ»fâ œ{™ý›çà¬éUpèê¢ô)üÔÞ/dgæ“ßJ¸ûM/~ËóáKq[\Š=ìý¥ð~Ûg^3væ:~T|Q¯À{©·»_?è¡ûùø•$oý'â߆»ÉIž®¾îþSüÆê+ä¡ÎÍŸñ;â¦øgþÙ}üýøéÄÿÕåÃït]éâcòï¾ß6¨?ÁW[÷CðŒù _ò#íêùÂ'ú^o×áÕù{òs4þ{.}Y\æ'¯?øÅã¬s÷¶ïÉõs8Î6Ïæ×¼™WúaøåèÅÞ[7?òqý Ÿ8^OEÿáÏë‡}KûþtŸ·ý[sý꘮3¾ò/7®ß“¿m]¼çæ×9½Ù:®Çò3ùTx¶îo³ñÝuüÇ‹Ãx/|½5¿áÅ·¬ÿkŸž„ïY}QŒK<§gä+Nò¯ô†‰­ËÖ.ÅäQ{Šýè?ÿ®~nJ¾c罧B_3¼¶ù[žÄ_°zÇOâøUö çÑ'¸ýú÷y&Þ Ÿ\»ŸÅ ~õäóo.oä¿’§7ò“ü™ø?±oòO±qÉÓÅÛäÓ/yûŠ_^>ÅÞ“ô¤ñAÞo¼§§}¯Ãz—ñòdvV¾åÚùüoâOµÏžáJz7À#%ÿí:=ùÅÖ1â#ƒ÷=Éà4øl8¾»þø^¹÷̽?Þn…'ñ¤÷{÷wÿxçÞO_¿ÃóáX×ùÿõߺäùÓOöñ;ý¼ñ}6Ï쎞†?ìwJ—_ÂïêZå‘nü}bûÊ£ü\Éò·âǃŸ÷þ–_ãoÃgÿùòÝåküNê"ó¯äÇîÙ¡~†Ÿ˜½'îvÛêÁÆï:þ˜<îyö•}¿9û„ÃÉ­ñ‰ÿ4?æ-öû£8çºà’ù›àæñŽü ù¸žßÀ‹¿ôÀsÅ}þÝ“³¸wõÚæ!üý,Ÿ*N¯öè…xÍO’gýtòŽî£c>ÆwÒO8—Ðçð ŸÿþìRüçôŸyî=µäÝ«£›ßȹßkßÿÌ>Øú›¼Ìxàký`Gòx (_]\a¾àÏO}±qyx‡ÜØ ÿ=Xe¾Óáz8\|ºv>ÿ§“}?é{ãWŒ»u¾Ô%éËòþ.Ï6¼M¯è?}¤‡Úa'âxò.8~v~mëħ‹ûã…á~N žû½¼{•ÊCÈÎÉKNæ•~ˆ¿ä#f¯Áex¼½ß}ÇáEü!Üwúùíù¿áIxî䌿þT†'á½ò£úç>8T{ÿÓK}¼ÿÇO²3ñœÿäïÂɇ7ÍûŠ6OËñA×îÖYò?æãþÏn<…yÇ3F/¶Þ„}ñïp„ø¡ðeò<~Ò~;«SÂ1áÇÇ«§¾Ñï“×ì™Þ?½õÿŒ§ïÏn]¿÷âÏ&þbžÌ|ÿ /­£ê‡sñ ¾½#¾xñļ;'~äž?¾¡þ<ù ¿õÇ_¾¬_YwaOëÌÉgGþב_4^òˆ¿Ø: óŠ§ nY]L»äy¬}Gñ~°Oçî¿Ùƒÿ‡?/IÏàZí‹Úã·Å;øN]Ò|ÑöÆþà ò„gƒÓ‡cƒöþ6ý?ø-ñŸ—ŸÅOµÎ½¼‡þÑ/õög…¯~äwò\ÞKþâ?ùïÎ.ájú/˜GórÿŸåûþÿA®å{é¥x/®'î>¤Ý_é—àëw·é“ñˆÿ×Îïò$züýXçÈ꾨ù7yç曟óò"Ÿðž³;ñÇïx øQ|`úE‰k¿Å¿Âsö³Üºí›7¿Ë_é½~ÃIòJzþ¶ß•nŒ<·_«ùÄß‘§qá­Ã«¬iì‹\åñ+‹ÏŽâHýdâßwß>Ìô ¦oäÈOá-µOÏŒ—ÿ1ÿõYO€_ÞzF8éè÷âÀð‰#|'–‡ôý(>ô{m·ÿ×<ìœß·â_û]Óéýñ[ŸBŽôBħ½ynü¤Ÿêÿtþ'õ‚ùIí5^Ò3þ/¼æ¯Áâ÷žµ7œþºûÉö}œí³Á¿á]ÎOîý÷›?‡ÇóÒÇá4øCÜÑ~ôzöÊÏÇŸÁ«sñkì$Þuä/ÞÃÁ½åI·Î@|á‡O¼á÷õûü\ï{ óÛÆ/>ðã®Kýûæèž<ã꾓Ëcø•ß¾ëœ¶<6ød8Ž<Ø ?'½&y|-ÏÀË°7qFà2ã§Èß1ùÎê øµä‹{ß*üæÖ-ðñÏægë­ð6â=»ͯqËkµ'6~‡àÕ³íǹ}“W/ŸÖ¸?Gð$¾nÔ?óÇO¦.Ù|dë9ëný—8žÿ/_5?ø/ãƒ×Ù5¹º^\p¤çwŸú¼¸ßý3º_áüÚÉeïáÁübý8þ‘Ÿ§×É;ç‡ù7z½o½¦õˆ½‡E~êqÇo½'a7ø q/~mu×àfßÁO–ï¥/[χgáÿÈM¯Ÿp99g_úÁ>ÿýùü/}Õr’§¥ÞØïðîX\aÞÉçæ×ú‚¾×ÕuÙ{/Œ¾Â»x~<ëé=¿$îÀÕär×ÿÁÎäQ‰CË“Ê{{ºß÷½<ä=Ç÷€¬‹tþí=oõìÔ¹­«´ú·á =oxÐsOoñ¢[_ _ú?¾ñÆ·ï¢ßsÖŽóëŸû>OüV?@¿à²àóÕ=èµ|„Ÿ…oÂoý}œb?ôQÌpFâàê´¹¾ßÁü‹öÕ=Ù#܈§2n~Õøé£þˆCü”ûåãâß]·ý²È…øþ-uv·ï£$^t?ų“×ÖÅáŸÔïø™kGݧëë‡ïé‹øÆÞÄ zÀ.ýn¼üóuý§OpWô…á¾Åkø„‘wþ«Ó qä—®]°ýhô ^!ú!¾òߞÎüN?ZïÆs²'~Š¾Ww=ÈŸé=~>/±õ–î—¯‹oò~ú~ÿܺžëõ3¼÷âˆöØ5ÿ-_…Äg÷ë7=UoH¾´øsÿÿ=n{ãQïyŸÿëÍ¿|ù¿}É+îýôàüñªá‡&‡Ôöýýg¯±¯ñx싼àUýƒ›‡ÿÉÝ<{®þ†OÜ{„ò ÇðèÍG÷>·¼FþLîü+¦¿ø®ð„Ë#bïËSà%ã Î\?È—žÀÝñמÿùg‡ÏÚ÷ÔR§ÝúbG8†üà>÷‰›Å—òù-üèw㌿è{1Ûß}ø ~ÖóÔÕ2Ÿ{[>%Ž…×/O;Žç—ùþŽ)6ŸüJüÝì+z²uΉs³ón\7ž?¾ùçóíƒ!¯¹ù†‹¶ŸMÖ,ÿj4ü†ÏÃWÞóú^N÷o>¼ë‡#µ gÂwßxFÇð‰ÃúqãZ}üä°z¸ç½úyãÅ·vóêpü2;‰ÜÆÄ_ô;®[ç ðKâ³yä›xÁ>·ö{r¡Oô°üúâøÿÈs·o1½ ÏòÔ¿ÿÿ‰‡{ß,õ7ï w?ƒ½7(®™‡èÿgó ë\]dû¥é¿(]{ŸÿíÅ{¿ó7®í+¢ŸüœçŠóY÷4?^qùˆy¯ÂGl=Öõcõ²úxWûô2yðöááR÷ïGoáRב“ö‚÷é¾­<œ±ßÛ:uvsrd/}¿bùŠöƒ#W¿s¸sr ÿh]ø¡?‹/â+ÿ^zq„Ýüã—z½õnáÕÉ×wçåMÆA^ɳÿøë/ëŠ{?„^ýçñÉ[›_o<ørWW‘·OxÁ½À~îù˜GóW“ý6Éf¿òNÏëºv&Γ£ÿ'OŸ~rülë9âý.ߧ}z´z»öù;ãM}­|õô‚=±xU\¤7þÏ_²_øéòŸ­ßùÿÞóÅÁÃIôõ³qáõ’_í;ɳ×?÷Ó'¼ˆö‡·>8¾ yÉð'þæ®û½þƒ~ðáÿ¼'¾:vø«Õ3Å•äÃËùwq]üèøùÄ‘íG•u-ê.Ãpüßù=<ácÿÇâÅâRøÎï®wÔŽûOÞ®ÿ¾OþÍ÷ý4¸ïyÏýæÎÿ…OþÅ›}NnußÇ¿ž¾=xVÇÓOxÛw†ð½Þ_ßw6»ëúk¼ëóüí;—úÝüÿ _ÁÍâÞ“ý‰ðË?ð7âÝß]|Ð.’¼_Ø:­øù}ÏŽßL^´õM~ÇsÀÛžÏÏüÂoßsVï߃çÆÛµþGŽx7vÇ_Âá©sð÷ÞSÞ¾ÅxlqŽºþmÝ-ǯ©C%™?—âÿVãgáú›ÇÏÿËååxhz^aù™¸ÉÝïÞïþá_Ö1Œ—»~/¿¸ß?ã—É‘%ß߃Ç5Ïá_†Sƒ÷ N(Ÿ=~ï/‹CåÓoÊg°ÓáúïðïÆiÃãm}3yF­cö{àÚ_þLNÁ£âãæË|êå±/{LÝ¡ëÕ»OÞòk|³ëÔYSÏ{ìãpý‚ƒù)óÿî=èyïwHƲßûýÏ¿ OÃÃü”ùÔý¥\ᇟò¼Í³ñÓ?í¹ŸœÙ\ÓºÉwï÷òŸòxœÿ¼ùÇ›™?òa§êµ‡äÓ«¯Ÿwv¿°åü’xÆ/â¢Ï“Kâ&|¹÷Öå+ÚO°ßáÊ{Î_.î­Þa¸•¼Ù‘vɹþþ5n~‚~ľªÿ¿F?é“<£ô…ýñ#æ!ö¾¼•ýÔOݼÿ“£þyîoßÁÇ“üƒf¿ä$_ù÷gÏî'.þm¿[ø/<èêö'¯}„Ó®¿;‡cïèû”N>œ¼?Ü8>œ\?Ü8ö8ûŽ®}øùÃõc×ã]×ê?ŠwàÌ/žRþÃg=Š¼|z.®à]Ø1»Œ=ü–ùîzKó¹|ŒŠ‰ß}?wëùùA÷é×ö>»À#³ËÈ}¸XÜŽ?d>ÏÎÿÜ°õ´æ›ÿrþ?})ÿÇ>Îð \–õü˜zÀÞË O²y¼¸3yˆoêlü˜~ª?¿þñ[ä¯.ÿ¾}>ƒß‹Ó[ç\Üjr]ëÃ7ÞíG!îš?óJ>7NyâÖÕ%~u_˽G WàmñéòJö©nA?õ÷ä÷™\ø)ó _³Ã³¿Å!qUÜ“?ˆ/×/ü¿üϳu æ#x¦ë€«¿V¾ááá=þÇ8Ãûí½½kwßMdp ¼Ó<–?îðÍüÞá–ÏÁ 㹂g–ŸÀ'òsóF¾ü[q?}¾vþ ðÔìxëçñìL^)_ ¿åßÌ¿É_'Zþù×ÁÁÇ×ã«ß¾÷`;Øû¨äÈå‘Á·[Ÿbœ©[l¿ÿÃ=«?4oâgN~ÃUÑÓ½_ö®ìŠÝuôg뵓÷;ðŸõ Ÿ¯‘»åÏø]óÄ~è?N7o}oS|ܺ$y~º>ü:¬÷R?7þ‰Wž£ßpã·Tüžë{äÉxAç'·ñ„×>¼i?£Ý‡ºÿäô-|ëwוǽù}ÛWiß‹‡‡o~œ÷}þ½ÿIîô•|ù¸ïĈâÄåëüÊô?ÌSðÞpªvÿéúÍßÿß¾<÷ܽ÷œüuï?ÒçÄç­#ßè‡|ˆ±C|Ü™x!ŽâmZ_Qøörúï;ºâÏpû_NŸùIýu¿¬nvÏùãüäÖáé_òËÙùõ÷Ïì0ùæüþ:|ÈðOòÛù¸Ž¼àn~ûä¦Îµ|<<Óp?êYâÇ_¾äƒ÷} úC/ïzëBW§bæãþ¿uløAöe¾ÉÝ|¾ðIìÖz•ÝÏ_¿á§½çÿ7ÿÃæ}‰ÏžG>õÁW{¯ó¿ä¡àúí3xó0=Â3§~x¿®®‰ÿ—‹=6o Wá?ù¹¾1<_õ<ýùë/åµþxŽvÙ“yp¤?ú-O—y}Ýú~ÞnžFîúEÿØÕñdúmžw<½ÿ‚q—¬Hþ±ø.Šwìáæ}û ?;>¹ÿ…àŸîyËÈ›ŸŽ_~ïóÿüóÙ=±÷4\‡Ÿ>¹üÿ»ý!éEôsþ_ÿé+ÿ¿Küó‡{žzþÇà>û%á/Çkßþépèöüþ/ª÷«›ŸÜ¶~@]~„o¾…'ó¼µïºþnÜôšþÂ7ôíì@>ðàù¹Øõ¾O*mž|Ï™Ý%ßë~/ã›ù'veæ™Þ›ïðú³uÿ7®µ×ñ±'8î÷è;—<ùßÿt~~8›úîæ#|¼z½8³õHⲺûf¯ìž4žäË¿EÎ[otýì{C«35/‘—‹SüñŃñƒµ?ñUÞ!.è×áíûϟÙpéÉoß¿<½øãôQÞ½ü›ô“šoq*ó¶¼ú¿]^dð¢ô¿G:^zžpuþ•Þʃá ß¾ô‡ìÁóúýšßã¿ùÝ‹ËõWð`òö?Î{ý¦¯ô3ñqõvÈ?è'ù‹wæ+ö1»4^öç¹ìL{ô?üÇò[ö‚‡!?~!þkñÚ¼ÓÝ·ú]êÀË—ô·þ-ö¸õ±øµ;v}n×Aί…ßÇëýÁþùË‹ïêâë¾ÇÃØÜÎÓÇÓ×?EãsÈ=ü@yù_òûòù¯ùÕ_çÿùK9®îœûÇýŸ?/É>S‡Þ wuóLJ×éHN§oäDßÄ[ùÜÃŽØmý¾åú¿uYp½¦÷ôZ>ÿ¾xDŸð|w¾÷%Ù9<@?ŒK|•§8—±Wy-<ë~óD¾ò½“×xé;ÿÃ|4/b¯pÃïŠ;ô!üÙôW<ÇÈÿÚ³Îiëïú7/pØã»’×­+ÅÞ¸úq|çcŸ¥›Õ×á?ÿ‡3On¾ô{BøJë1ñ®®ßû•Á/Ÿ3Oô`ëúÍÿÿ’ûø[x)üçâ‰ùŒ¿„7þˆ=ð3ã›ÄozEŸ¯¿«—XGÈOñ“ôª8ne×òQþãÇåAìúp¿1þ‹}êŸûŠgäSü^qGã <Ú8Ì\ÃÉ?yýø³q²8ÌïÅ+‰_«çÀ+îÓ?qßÂ'˜Wý†Gø1ò§¯ŽøHþ—üO~êÖ/l~¯Ý?óü6ý ·Ôù¶>θÈûòåÕ¡Ý'nã]Å1ùuò~Ëú0¸xñDûôÿúÓ÷„ûžÇìžW\ÿùxψ\§ñ>‰“~_}žÝÀäWüÅOãÄ%qÁWîgÿåÉ]¿š_÷%Ùûô·xÂMô /âÿô‚È+þúK;ä?–‡øÏ.õŸ|Ãïlýž<Ÿ~ÁÁÆõÿ<ýÐOxŠŸâ‡áy!?ÇßñfÓƒäGãÌ'9Dþ»Þ¸ÈŸœR¿Ý~òw÷óü¿qÄÏò;û =q¹¦ûÀÇü_ò¢áµ¶GòìàÕùóEnìïú½ý"ÈC>Ïë‡8O>ôñú³õWì؉v"ñœÁðßò:öxv=ý†Ø;2ŸõoêòÁ¹«w\ÿ–«Ë°Kù‡xð÷_®sèûõgëöÔ…æ×ñ¥päÉóñ…×þ7'GëÕ‘Ç3ÂsðáP¾v>^?öÞùé>ôñýtø®Õ/G¸ž½ã<éýnžÝýÇ/óQy¹Z8þÎÿ‹wÚ¿Ä%ú§þ¿¾´ãîK>ž žä×àOú'ÿÀC‰ŸÿæËë懊SØ/¾'ùíszÅN<>âøþŒtý§z¦qñÿxIòH¾¸õ6go{nâÇÞË /vv~M^ˆw­oâ•Ì#ÜÏ9êWx€®Ý{¯â£ºƒßÿ׸åqW¿à!þG^—‹á=ÔÁ»Þf8†ÿ—Ý|XBöÝ>qFü#÷èáð;=O"罧­rz|?”5ÏxvtÏù=ú»÷fÏ~Æ›zîááGòdïÎÏo{Å~vƳõÊøuøÑ?ÏiA\ñ<~Cƒ>{>ÅÞý_\ÀçGNôazx¸u±wÝö;÷í³ùÉÿ5r½ù´®pëoè‡øyømúÊO«+™~YÜçðxÎé/IÉÁu7ž½Ÿç{Ø|÷c~TÿoþïãÝ}ãóñÕðˆùÿµËoÃ%áëËüâë÷Þ?"ߣó{æÇsàiu ãgßgvÍ^?y\ívõÃæOüòïÁúÉÎåÙp{s¤§ÉÃéy÷ië{U³ãÿ¥Y¾äÜõgË'è;{åÇýÿæÇ>Ô[?¿ÖuÕËwÊ_?‹ŸÚ¾¾äûûŽðÜ“‹÷´‹¿†ËîÿÃu÷ïÙ¬®}ÏûpÏÿpãÿpúñn½çï½nxÔùõcGý»çí=püeyÏ{þøK㤿ì”>ÐgzŸõ«“‘'qr$î§ëþëé%y'ý3ÏÖÃáÅùqõ ø‘¼ç÷¾›üM\a÷áÍÆÓˆÇô®2~¸ˆ<Ógçòžÿû—õ—ÕSµ' nè¾:«÷»_¼==ç—þH²ï÷Ñ£àî½eÞøMxN‘÷·yK\·îºûç ¯À­ðNå}ÏÙ¾¤ô §—©l=ŽßÙöåõÁK»ž=ü—ÔèEý½ñÃëæ ¾à—Éü›Oýäïø™ÌóO‰CôÝ{ùüÎøys~˜Ä›äÑ‹ÏWÿYûü™¸–ñO>þûkü„ýþÿ`/üŠö¢÷ã÷‹çø'¿·ñé½7rt¼ö¶ÎÎuüëõs|?Fo®ÿâÝúEßè>ÐÃóÁcðÞðæïu×'—½~ÏyýßzÆ{žý|öü&~R;êçŽxR×ã!óÿõ—ýüÓ—z€?þQdOâ6>Ñ<ÑóOÃwç÷ÇÁyì oA/Ì”ãø ~É<Þ¼¯þôßþyÿ¸þìûeô>uø®ÿë>\Ýpï?¸Nâoà`õK¸‡å¯åùìTÜ?~·zü(Ÿ&ÇÅ{vB®òë÷¥ß™}ü?¾´Oû¾ì½%òÒ_ø1~q~áúÕõ×ôÅ|ÂKãUŒƒß ?WÿþxOõpØâúéÇxNøǼÒþMÝÂóþ>½Â?{Oá·úS÷ý«/×eÀ#ÛŸƒÞ—çZ' Î—°_¸ZÜÂ+‘»ñã!¯¾zv±u•iÇ¼Ð·É ÿ]ü{rùñôäÏôÅ<‰ãü9=<}—7Îÿèÿÿöe0¦·žêž;¿póJÎÛÇÕ¸à²ósãÅi¼Æý2ïú©^ Wóª_âÙá³ß2þå+ðßéÑÖÃÝü¬›ûðhâùŸOO½?¸:½~³ þ>æ÷sßü_øiã_ÞošWóîˆÏãçÍCòEßãð]í}CožÆ_±{ýf7Žÿð¥^ŒŸâŸñÂü†º¿ÈÞÅ v%®û&_ysúo¾OÏÙûöE0ÎæoðìÉI½iõ <‰üåäºü‰ß#Wzx0ÿƯáy.®ì˜¼ýQ_¹ùVW\}ž¾v·ŽSü¯M—GúÿõþÜ®ÿö_ú—'ŸÉß·<ãÚ³o³øð=Ï|lýÆéiqá^\]Üï×Þ~O¸}(áP×Á­~Çoª³—g<ùízG¼©v=Ï}ÚspÔì^â÷ø·kgßa‚SG]¾Í~O¿VOeçþiÞÃÞñ„ü‘ÿ³só ?Ô>›¿yNô}ú£}vtrý)~vùˆxƒ7gÄÓ×GÏïò?~_]ˆýðÓ§»?FóÛÕOáÁààá~àú»ïrùýä×ïÛ-®¼ï÷Ó‹ñ—ü!½:¿Ñï” Þqû¹à}ù1ó—ܼü‡â#Âßn¿¼7Á?\ñ>ò‘Çw_éŸþÓ/ùŽøÄÎ’ØŸãså¬]r¤oôì_ÉgîwýÀ«Šûü·öè-¹„\þ">¨[Ñ£Ó¿Í»|€~ÇŽ'á²Ô?ö]²ÿö¯Þ‰“‰Û³ñJ?îyüü¾K¾èÇÍ÷¾Ó¿°þ“;^’¼è¼ïùäâ>~7ë†ÏämüMê Ó/ùÁµ³zwüáôl»pÿ­}þà®SO\Ý»xÿË:Å_ý¹Ð{zzýægäË[¬ÿðý£77žÖ Zgž~Ãép-= ï>~ƒ¸q§zøÖSÑG|½ûÕÁÄE8ĺø=Ÿ\WO¢ßäÂßÑ›»ëG'—/áMøOóaÞùo8ìŽ[ÿÂo•—¿~ìûvቷo‹¸@o¢‡êäìR>â±Ï‘¸AÿØOùNqF~?=Ýxõß9½)prî5~í‹Åip|æÜuðÙÉ{¸¯×G:ž¿Ú¹ûÛÏÑ^û×~Gú½xòþÿ§Î¿ö÷_Æ™ùò¦ÇìÝz”æOg¿{óž³õƒÚg×ðPø†ÅíkgöؼŽ]ËKñDx ù¼qÓ;yñ?~iwþÿ“¸ÃÑÿû}ûY#9ˆÃwÜ{àì8uÃíb|ç¦çâ˜û¾I|LÝ…Þ{'øQ<œÆßã—ùoóŒ‡$_ãâ_îùÿÒ}pÀ=g<+Ü$ðËò~„œÉ÷?$Žð;ìšÿ¢wŸïÄ §À³÷ûOæùp÷cóŒ'¸þí=yòƒÛåy׎ýi¦¿ÆÉNè«~ãS÷ß:»â>¸Þòû韼lÏ;þbõÈòUð¿âw8æôý/üÂÍŸõ¸òé=WÜá¿Ä=yjò‰ò«ü½ñ]©ÙÙéçpÄõϱñoëîØ|‰Ï»öÕ)ö/þ+øÄ‘¾ãgämö±˜ÿOÜ]>dœônˆëþó—ññÀ¸øû“<È/þ$¯*?7­Ÿä©ýÆ¡úI¼9ÿõ—uP~ؾ•Ž«çš/zt÷õýÔéÁéõâfñº¼?ä‡È•½óÓì€_çé½áË/Â{©ëÌ_‰Žü¤çe|Ö=â8;Ë;˜o¼0¿bµsþ¾.NÜ|x?yrÒ¿Öµä‡òNz\ùÍ=ÿÃýûßïã-ïú­<9Ù×ñCyJøžƒCýî¹÷û7mßñìàÃÝ·u•ðæ{8R¿N_¼4üù†µŸâA]Wžµí8'‡“ãësŠ›µK~þ¯ÿ·ÀsŠ³éCê/â÷‚S·Ÿ2»qä‡éíá¾Åþÿâïø•ÓŸ?ñëâ¸øÉϲ+þþâ×øqfœ÷\qeù·øð?¦Îuö?ÜóÅCñ‘ßâ‡âOgâë3<Ïüü…ø¿ÿŠW¼ÿ?ð-j~Ô¼ËÃáLq¼à•æc/¼ëæü6ý”GÀ)ú™¸´üÞŠ_æGÜà˜úK¿×5^ïž\·~Ï<Ãéòƒ¬ïØük‡<ÈO?Äevãzíë½ï‡éƒaúe¼ðöðǧ¯[â>ö¨¾„‡*^8=ø³|ùÆ9Þ\ÞÇ^å_ü¸ùq~òYè»y¡Ww¾þ»ûè¸æÿÿûT/b§ê<Áµû¾ï¿ˆß ¿økþÁÿÿ!r“_Ð+㇇é“üÙuæ_mÞM¿\gÿEüYy*üñÿþ¥žÌýû¬§0>rô<ý<»ñ]}¿¯üÛ—þrñjŸ½‰»äÂ/²+ú­=ýV·;=ÿ³¸H¿îzþfq“}Ý8¬Ã¾WOÅϱcr¾û¼ªó7>>mݾ<+œ/oÂÏÅ«ÁÓ¾¹ï]Þu['zóäý¨Ç{ìÎéió¬òÜâÂ]÷GóêëßÞ¯£Ïç»^xïQÞxyò=ïÏxzEoàú+Né»egü?ÃoÑëÿÆǾù#~‡~Ò7þMÜ`äxýØzùßý>Ü‘:àì’\µÏÃËᇯØâ˜|sø•<]g~œŸüÿ¥ü_QÏ‘ÿ«ƒ]œž}]ö¾¼z¿¡¾D^žON'‡ímžÔé’µî»z3y—5Nø‘ˆ#â%^H|uyðæÝ|šgþúäºz±qàÛâïðËÞ×™ÿç_áú‡ç(þGÔ3ðyôëä6ÜwqÃ÷ûýôáóé7xþñIçôW~%O÷õ?|åp~êî_½íôg¼ŸûrÝð¦ùqÎoé×=Ç÷©ÿä‰üýeŸ©cn7}#ÿÓ“á`ñÐ8RŸ˜^Âãôåäµ÷ ͧzŠþ]·5ëôù÷úsò+ž“§›Gýd§É7‡kè«vøeGÏÿ/_úŸ­‡$OÏ=}]~kÞÒâË®ämüçÃ>Z“N»÷œÿ þíî›ÝŸ˜}àMùëæYþϾàl8ðŸíþ¯îozV^qûŠÁÏþ/Þ;gŸñ›~±¼—8Sÿ‡ç€ÜÏÞáHã>¹o)ùµöôÇ|é/<Oœ?žÖ/~ÀÑ<Ð|ÿ¼Ûýqßè…~ž>ë_øÃ%¸ø_êÿäo|ìN¥oðRŸÏ±÷ûÿÙ÷Ö%NÀ1‡qŠ/ôY<8=þ³úô=ßñÏ×oÇùku3þ_f|µ[vo~øý_ðCõ3ƃÿv}píæ|é¹ü¿sûØx½[½Þøè;;ÑŸàê­#i~*ï6.üFíC<4o'í#§¿ú“úæ¾×)^7»€áÃkwù^…ÿ&WøØüÞN¾q.o¿ñl:ò0^ò£§§ïû¹vÄ{q€]¸?ü{÷ý. Ž^œgú¡=çò„“›:Õ¾ë!þðß|Ègï¥ð/äM´wòþ—7¿Ã¿ú ¿\¿¶Ÿ?ûºçýåâÔÆ ŸÒƒø»­ ½y?œ8·}Fàaø½yoø"üÆøŸ¿|éÏVÿãÙ)|àwzd~ÿEüœþÞüÉ'Ž}G6ùèòbÏ9ùþ%~þᯯÿ>?öçÄñ½ß!žœ|ì3dLøkÇk8íƹ}×ÕÏñ”÷œ­€+O^Ý_óÛ÷·7ήïÜûLśεã¨î ;Ò—Úå_2ì†ÞÃUx öm~ÙíK|\}EQ¼ü ž=ö…Ç7Ó¼Èÿúe\ë{Uìµë(ü0|ßÿ‡oÞw>åò†ÈwGíÓ‹·£ç½ë_ÇQÜßíè¾ÏÇ“ïdzƒo£‡ûΪñÓ[×»Îù=gû4¸^žÜí8~/ߺç|CÞgûÿÝ·<î~äò/÷ë{bççØñúÕüÎÑ8ùyªùð¼gë¾?fž¶ÆÉÇ|í{ôBûüÿáyäh<~§¯äîÿú§þ¢=z¤ŸõSÚõ;ýÔŽûo³çäEŽæIÿ’/¼ö>’£¼ùîßu7þÉïìrß&7õó[9^ zù±öørÞçÎ.Ú/Ç·yžÝê;Ã{Üó¶ÞÌñä´uk'×}øæßÅ3_ôŒ^œ^ŠìæCåié1Ä|Ò?ÏÓÿ“÷ìÜsù[v}׉«®³Nï›×7×ÏýÎÜ}؇~˜wzÎ.ü~í-®“7~ÉïÎ_Žk?|ÿôøN‹£ûè+ý}¯ã«?½ñ>žW;Ö®ûôƒ¼üßïÎõ/öò¡~Êÿûü>'öù˜÷‘Gõ˜Üêsÿ꺮óÿžëŸö{]ç§ó–yy¯ò—üqýDâèâ‚qëOí–_4¯âyóŸúÕø–s~l~®¼­vçŠOªÏîƒ3ÈÓs¾ð{Åyžçº>ÏÿÙ[pÇ·Ñ»í³@oÄM¸GõÓQü1¯~׎ø'‰wúi¾õ+yÒßÆ.ºÞyó/žÉ».¾ì:qOÜ…ƒÉÏyýNãAqUÏ«—Å]o~¼××ßT_{ýWüÀô(ÇɃ_0OðŠ£~šØýòcóí>óižé {÷\¸÷ìazäw8θùÝ«ýÌ·ß×¾öܯ]÷7Ÿ žYÿÙ‘çèGò‡|Šç;ÒßæüqñçÙuÚsÎoù½|CýŽëüþ–?ÿ÷æ»ÍŸ{ì8OÞÆy羋ï}€ûàAø_÷}ÿ¿ëÿææE{àgx»ö΃àÜon\ú5Ü`<úMñOÜ ¯Õ/%ÏûæƵvÙyqSâæp\âÈü3?ÑüÏó_òÍÕë‡þ ¯ûõÉsèÏ›žD_vR{4~G÷Uÿõ«ù>}î‚à¡òÚe?©OŽ/÷ÿkgy…yï<™ã$ßæ•úyÿßúèðo[-Ÿ8¹ ·ÁµæOûž¹<òÏOdßÃmåÓptïó»ºÿGŽÎKÿ[ªËË3òFóJÎÁ¡øÙ<¸ùGýR¿ç}L»³³òãô—<‹g›O ŸˆkâÓ[½“<{?¾ïQ_4_Åßñ;{ÖÿÔyö{ùúâE8 ×¥Ÿåß^ë«úÑõ •æ­ãxÈ×|ÂG­g¸Žœ›—¤r캓áÇê%¹Ðß>ÇïÅë3âÜÚúu㜣:SpÃô†Ý–Ï.ŽáÿØ#?#Žè·yqùÖ.y»Ž½›¿üþà÷{]øÈÇ}åárÿäÑùë¼ê¯y).2Ÿü+ûi»Í£›†W‚'øOþVŒØõâfâÃ+>W´Ïº¿Àχ¿{|7I»ô+ý~ÔÓ÷wÞúŒyäçàgzuó¸xHŸá˜ðNëŸq•‡vùT÷Óã ïµvÈ.ƒß\çœÑ/úåØ:6»¤Žâ³ëèEõ•]•‡Îq׳¯“Ãê¶äB/ÅeòvôÞú¹®_ƒKýIý᱿më)Å/­+¹>ö?½çGŠCÍqopòòTó/®è·vÈÅºàœµcþËÃÂ}æ½uäÄ•G>VÞÈyã`y¤ò`‰Ëõ£q&¸ôÛ\÷اCÒ¯—zÉôθ\—ºaýÌ£Þ¬]í46/õ›ôÀ‘\ø§ä5¼N3ßî e\ùᛷžšÜjÏæ£~ÉøSWZýwýAðgñøæÓx£¬.Ô8n¼‰«³ãÖcÊ#”h¾_ r|ìë»ÜþŠŽêÙ×ÎêÚâTy½âŽò_Ã)­Ô>ý¿ù\®_T\…#ÅóÙ:uåÒcûÝó·ñ¼ñMÅKÅÙo|TqWóÖ ŠK[¿o}¬zêÿoãüÚü;¾ñO=¾ÝW~ª<âŸçÿÅ#ÿÚç~­oñè§ì}µcó×ùÖO~Çuü!üV|Ô|&þáu]<Ç_áå‹Ká|Ï…?R']ü———÷Éuã±Ãëìº>G;Á-‹#ðægqÎx÷/ñûYòö^ØÎõþ2ÿô-ë_V‡/Oôâ?k¯­ï·Þíÿ­3”gȺ‘Zü‘õBÃyäÏ_Å©ý7¼ù ýqþâ¿ÇšïÔ•_ýƒöÈI"çá*x‚Þã+Å#×5o,ÞŽ^ô»mË;´›|uzë_×lÝEÛ‡ÏØþ8ùÃpXøü×8ÍN³žjzÁþô«ü»Óò,oÍãÏÆ“óKÆK?‚ûw_ÚŠSéƒþd}ÆòEy>ÄñÅ_q½ùüÊ+Éó]ßõXÍÏÙYüáêÔ'ßÕ_àoöh¼ú)ï þÝ:Nó\·ºŽþWÓçÄÓÕmƒÿà\øaïO…/þ@¿èçšWrÉÿßÅ®¼éûʼ›÷÷yÆå¹m§ùžþÀQòzóêœ|“÷~¨ÑŸÄ×ñNæßïñûã)È%ñêá¿›§wñçáÇy–û^âÆü9Ußê´­z^ñdë4oõˆÔ!Ö¯âÎÔö|ò oþØÿ›75'8o¾‘¸jÝÂ꽩#¯?x6úAÆ_>'ó0\ÈàA¿;w|ËgÞò·Î›ëõ§GãkÝí •—˳¾ÖŸ¯å7o÷w¼ÍcÞŽo㯾Æ×U>ÕãÖùÅÔ'¿Ô©†Ô—‹Çõ~À»x¼ÄK?ï#Š+­G¾å‘m¯ó£ÝóË­û¶ýG½¸<‹v[×$ÿêI¯^¿ÙKýŸv*Ƕ×ßW^oþµ~¢óÔþ¶?ý=õ‚å§â‡¼GÜÅsâÁ›W'ÿ峮ןòÀæëÍ/÷=ZœøÝõç;vüeë&Ä÷ð̯û}˜yCqÆõ¡÷­›÷øÆû%϶Îm(ßvî:þ4|Ì~çw›gÂ~ÿ1}³°7ò*’ülvÈÞüß|%Ïؼ‡§˜ÝÊ[ƒwá~BËC¤NýxµñKÿámóÇß—ü–œ_òÙ]çÿìœ#z•¼ny†£ñ—¯ôÜÚ…q‡oz¬ŸÐ®ëË_—_ 7ÞÁïõWõ›íWø¯Çûšoþ×õåÁô¿ü瑹¶Uùö¹¿~ô¼¿÷Xž¢ùAÏë_š”Ïë}ou™ò&®+îí¼¼ñ{ou"þéä‹7.ÿÚ÷³‡ÙOþ?žŽÝÆ¿,.¦îÉ¿lù{u½öŵð’ã è;½‰zðfôÒýžÏ¯ˆäÆ•çç§Þ®_ø¹ü_\|ø?¿OðÒ·õ_±¯G]Íï­ûÖžj­W»®vîغeïëÿëã7Ïå‹ýžñªÿ>öC’÷àùÄEó/Á9©W>Þë yðÕ©›oÝnqø[½¼|Hp›q•ìzØÙ—ç²cý5îâ8÷7ѹ×>ùu~ëkyHÇœ¹ú]óq“*X\á¾Ø×c}¿sø‡üàþRÝçwçî+.^aÎc¯÷Šµ/¯áº~‘|<Ÿ\É'q¸ëõëjë_k÷âVë$p"{öòªœ]_¾«ãw¿vƒ'†Ëõ‚»¦×p”xQêÈ?‘cñ\ëù‘÷c]UñQäøX¯Òúaq–ù§¯â{ëõÅUÅOžW|UÜRüÑq| OõúêWãMýb婽®›ðÿÔwºN²ïßö}Ǻ×—ß ÿ:ÿ“<öcäº:wóóÖ ô7ñkóÝü¡úÖ¼¿ñ‡]4©žÿíØ<þ »Þyq±cíã?~û¿ö§ßâSåžúÝöðûÍç‡è3¼2üÈÿˆõçž_(þnOª÷ÆOî­óˆûäSžµ¼¾ßÝ_=­ o÷xO·óSœÔë"ÿÇíº_ªGÅýŽ­¹­ë:úÿµû¡ú»Ï¥¿Á÷«›ÞóøcW]ÿ¡q7<ÔêÆ®ƒ{š7é_ìdy7\“:ÂO6OѼìØ:µù5þ^ïÈßÜ}]7ü¡]ó˜~>Þ·tŸÿ³Oyšÿg}ty„ñË‘¿<ïc®ïûu]7߸ºuDä~|jøÕ·÷-š/Çé·qÐOü)½ô¼æì¾<¹|9vWùußx xȱ¼:yÑ;ý4>èú«^3ûGÙy§§z½£zËõkçâ/¿fžÈA¿“‡Õ=òv£þŒ~°kÿß?`מ׼¼ü¿òVW?\ÿâ/W§ óŠ?Ñßø¥®?Ùþì®ÓîýüYüÚøõ®_©^gÔ–/-ÏÌëw³>jóü¶Ž‰?ʺ©îKðÈû¼úׇçz¬Ï⪿Íkµ÷vìs‹*¿^_^ºübyƒ—~L^±Ã·}Muƒê‹8@ïøyq=þ®¼Ðcݶ8Eÿ‚ÿûž^÷W¬§¿•SymóX~?%7ÿ×^êCýÂî7>Çøkí.ŸÏáÀ»oïå¸þúå¸ßï¾­gä—o~¾éóbçc\Í‹‹ë›çð‡Í_òìá8ö'úòõG½”ÜŸ~òh^äŠKË7ú]¶ñ×ÿé¿Óù)>ÄÀ»ìÊs¢¿Ós~!øÿuÿ|Ï/^-îêüUïÊ'¿ém뎩W¼î—üÆkGn[÷`œô#×=æ½ùty 8Åñîë>rß<êäÉ›¶U>¿\?·ŽéÆáÿ{ßD?¿÷28ÉýÚ=¹ã¯?¦ÝÇþwáÍ^÷o*>yýª¿ç$¿}è«üÂ|†i½¶|éÖwàõ‡žwì½q’é¿£çë¿ùõ{×£´®Ô£vZwñÿ¶çÜõÁÿó«â›ù¥­3k¯~°õÉÎgòµÇzžèÅÖ3%¾­ž,¾À‹ì‘=™v`¼ðIó»ò=òFýWßo¡çηʣ¼å“åÏÞ¾ù°»ùò0Þ´ó8†‡}<¿ç®{;¾å“_ûê8q‡õwó&„'Ý8=Çó´÷1ŠGšw±ûÚYëƒå­³ïðÛ^)¿“óßÜóÿæƳãÉÓw}þ‡{Žÿÿ§síìÿêIž£nDŸœÓ£øá}—ò®Ã_n?Ìà¹ñ¢î»~¬â¹Ôyû‚:/ßP"üÔã=³ê}õ=þiõ9çÜóàŒküh¦¼¨~•ç.¿Ê>Êx>Ü_9ã à~®3áIù„ó{Îð ãc÷»îúñ¨özý•ÿ³ßô÷Á£„g||ï™ßÇào×ùçãôé»òÀÁÇ[>i8‚ž%oÙÿÍÞN4?üÚ ÿµxÀ=Ï}å¯Âcõ»”«ŸÓ«à€îÿúØïßCÎòîÈe×á±øÏòÄø$ù…v=/u¬­³NÜ||²õØÖ7›·´NõÆKd¼ßV^ž_ÞıùTÖ©<ò+ø$øõ±·¼…ÜõÇïúëwí¦Ž$y¼GOo´Wž'íÖnSþh{ô“Ðó¯ä•¯ß3|;ºþîßûäÅoätÇõ“_©Ñ—È}ë'é)9ˆwp˜óÚwyŽ¶[Þ¥yŸö3/¯ßui>ª¿oGø„ògÅŸìÌ<èoù/ÇþÞü³yrÇÛß+ß·ñ6¯}ËÏÛâ”7œ^Üý†Ïá¤7ïÿä ¯Ðoóñ¦Wo¼°<¤r{“ç×ô÷M~‘ïÖQ†wùêºÕ>.ñ}Nþj8%xåQ7|Ã9áKw½qÀQçWö;;w¾¦oåGªWåU¾–j‡¾Ô/G/­·šÜøsþ‚ã^ytã'Gþ@¼wËÛk/þúcýIâ™þÃ_òýf/ôEÿZ7(Ÿ\?Bžp¹êwëVâEê0âËêšú7&iþ÷ˆoÅCo<†8ëy­Óõø²Ž¬ëUu1÷'Oz¼ÿéHîåQŠ÷ZŸo½Ì±ø"yËã;ˆá¾ú^¸º«y‚sà1ösýP' /pÿ3{ 'Ú§ô]8‡'éSðÍoùø¾uñ/\ ‡šOýo¼vNŸå{äUû*îéúr—·¨oÈ›ùe~X\4߉¯[‡,Oÿ½öä9Åáô†<š§h‡|O^”q>ê¤æ=r|àsú–~>öGÑÏò^ý?œ=íú“×óðoãK<—¿4å›èƒó·8Qò)ó¢¿íóô¯èg÷_ݼz>9Wß;~qW{Á ïH³/÷½Ô§V/…Û£ç‹/©Ç¬.Ó|$ë$Öžç¯~‹Så=‹Çë'c‡k‡^kßóÄ=ãÃ>pKxÊÇ>*â¥ëÈ7ë6ú>öê:øÇúAúSy™ý.‡·<Oèzyšñ8‡'Ëê¿s×/?Àÿ™ö½¾§²~Ü1~jøËsÍ/¿^nûì…çë¾XËë’7 ÷ð#o<9™òæ'ààâó¹ìûÁú­w×g>Ö›ËgSj|Ÿ.? ïÐïNv?ô¾÷¹vôWûúc><ßuÆáþø·®íþΓ+y‘ßõÿñ=SqS¾Ðú<ÐûàuxÂïæW³iëiø¿—üwza¼çíû?Ú}Ã%ÎéGù¸Ó‹oð˜×Ÿ}O^»ë¿©>ºŽ>ÀÃ~‡ûÈuÞ|¥ùPóš^ÿÂýÖ3z^^ù®>8š‡òH_™ç¯®—~ãÏ«ïå;š¾àã×q¾Õk2¯û£ôX9¼ñœ/üú+_ާ׵>ðöø59½]ßÿWþ­Sô9ü¿Ê¾ÉÃ|T®ü¬xÈ_Ã=pœ¼ëÁSòËÚãWà/÷‰Ó®K<~|Oòe½a×ûm<Éo_¿«¤ÿâ~xÔÇw}⿶O‘ù¡Oâfêúpð×ò ø›Ü_¾Qüa\Î+8þñ{ùéö“_j-Þɺ³ÇûÌî {ÌOôñõ½ë“ç¬;غ‚‹+ËG̯q7ÀËôP¿ô—¾šæu®ožQ¾Ô}©;uÞî¼<@~æ¹ü[üãp6»J>2ù9ú?{×ù°ó›·æo¯y–üÉø›'¿õÃyñ;=i^Ôu,ÉWZY>ÁÎåcòLóœ¶ÿ›/¿“·vå¿ò3ýržú±Ž&yóæGéÿücx¢_üý°Kó—q6/š_—ßàù…?´÷ÚÝwíùÞÏ#îµVþ­ürã,}1~zÊ}õ;{oÞâ˜<ä±ï¥ù`Ÿþßz ÿâ÷òdéw÷^?]'þÊŸµG^á϶ï0ùê';âO³®ã‡ßû¸ìÖü¼ÕWù»Î›üƒÞ_ý!wvÞúm׳¶ŽªŸ­Ãß:oý@ÊϳŸæÍÃzìý]OQ9ÔnŒç —o»~Œž­®qó+/U]ÙýÆI¾žKÃmÝžçUïØ-;qÞü‚ÜØMøòò¤?“[õ¦|YüoóÇ÷àØgxÿõ³¼B×gx¾yiÖúÓ[~Ò|¹÷½å+Í/›¿TŸÞÚk^úÂk>ò§®+Oñ–G_ûTò»á!º°ç,.ÃcÎùgí7õ»‰]w>|•ãðUâöð]óŸÖ#+Çú©ÖCÂgm¿ºÆ›Ôó»¯ïì‚Üs×^õ¦vG©»íHþðŽëR—Y>E^Žð‹ù÷<òõœàÉâºG~INoõò7^z ŸüDòÁé›cãWóUGþî _¾þð‹õ æ)ñx8˜üéM×Cd½ÄêÈêÊ×O¼áöOzóôªø®xD¿ëg/»æÍ/»ß¼{Þõû{z•ünøoo¾Ùuùrzü‚£û©7oJ~ñÐ{÷ÓoÏK^ßüï{ù¶ëÂo¯Þ½ÚQ»¹þñýýŽl]èñ] þÖóú»|+íÏh·|€ßõ“þ‹}NpÆcÿM~ þ}çÆÛñ¯qðWüCï/ßS|b>RŸìÏà~úžø»÷&ø?ñA?øÓëßÖ±È'ø%õ0ýv½úFŽ|Z¿§?å…Ë/w¼oÇ®»iþR~.8ñuýë[þÑ£ÿŸÏ/¿Ù¸ûv|»¾ñ"<ëƒw¬<¾&¿Êñkóóv_åÖã×äèükrüZ½¢|Eo"ñdyÜRÞ¼Ë/ð;ðŒøíúØÕüTç¯ Îð;/üðãýõàÖG¼k] ñÉ}ü¶ëZ70¾øÍá­Ô!Æ{ð§÷gxÂðo}O«¼éx~Ñü˜y„xèºàŸÝGïôS?ÈßupeófzD¯Â+O¯ôßuæ«ëÄMÏ ¯ýØ'Ò}ÍãËß4Ï5ŸúÛü¥ñª¼¡ywôœæŸäúRçß~|;o~_t]üÓƒ·Å[Ó{¸’¼œw½…ûË{V"ïåÁcå?^ùËà•âçÙ]pÕ·Þ¼}oþÈÉs´Û<Ž½ë¿ñß—?øŒ7þ!~~ãLÝàÛêAóxÝò¯~/Ÿý¿É©çÿÅßÅÑÎë·á€âö·×÷÷þÿ-N´ýÿ³Ç7>üíÿå§úûßõöÿ^G¿[oèuÅSŽ­Wi'õ­½ïqþç;zî÷ê¼Îo:Ò×ØóìÝýìï „·lœ_q×íý“æ‡ÕKòb×ïoîÿÛçèîsܾð®»çm½åù•o*Ÿâqq‡Ÿ×?ò©‚cù±®«]9/_È‹KÚ÷™'yPó*í…ìË ùxo”?wðãcŸ¿{¾ß;ßôá-§gðKïOÜ(¿ØýŽ—g²³âaváwq¾ù^òoë·;õáâSëZ¿^?Éþ£ìY¾ æG¦çú]^Ĺü¢ùQùuí•Ow ž¶ŸÓ÷­‡Ð;<)}1m×üóåÿõ—ÜôÓuŽÍ Ëç’§y¨üG?<Ǹô_z==r_üQ÷³]3øzúLÏj_õ{î‹>?Þã.Þ…ãÌWqÚoÈÿÇwñ)¼EŸšOÅO¿î?ô~ùñý-úe¼äÚö›‡:–¿x;6O};¾«×½ñç­S”‰Ü<0ýHýÑŸ›ß¿ã­Ÿ7ýHœzìó‘çNé;½ Ï+ÿ~ìËÞ´ç÷®gð;|•|ãñ]ý*ÿç:ýâ'Ùmëh/í÷÷Wì yaß;[þ$"§âäıâxìÛù©û}x±ëŒ®¿ÛÒõðfóÅð ûºßã÷äqÛÈú€ëç~‡;ýŸŸ0®àññÑôß¼n=?>þ”ŸxþÇú̵ÿ9¼êyÚ…+›Õo÷È/FŸ_¿£Õëjõ7_[ÿÔ:_ãGÿÿvŒ_ÿÚ÷ƒñ òhÜøÚ±úî9/õˆG>W?KïàDq„}ò‡É‹û¶Þ¦¸òkx¢ò-ž1n¸.õÞ~Çï;“=âpùlþÇõün×¹ô~þ£|^4xø;×ñ͇͗8NôÇý‰ûóÛðTùDò+OÕûßp½xà˜üäïÍ}t¤oáÖŽ8ã:Çæ…úá¹ÁOïº/׿ŽÇÑÿÛßÚUã}+^›Ç„WyìåùðPùíè{ƒKêwùQ××ïòwúåù™—Çû1ôT»ž÷–oôX{îyë›p¡cóë^ŸÇ¿ÕŸ{üZþT¿×óúíÖm]×¼«ãpÔÎ[=WûÆýÆG´þûrýx0ã P¿;<äwþÉïü/½¦ïÉÃßá£ÿþÿÂÏö÷ñ$ú\3¿™¼àÁ7;&n>¾ûT~ àH~w¿ï匿ó;Üwói_Ç¿ N|ÄÓÚŸz4¹˜×óc¾34<ÞkõíûÿÞÂgê§û¢Gðç¾Äϯëîþ½?: 9½}¯ï3âöÞ’ñÜ}Û/Ésœãyo>¼ÿ77ÿÚÙw’ÂßNè}ë©Çà1¦gþ/îÀü-=økö!N²ƒà¥Å“Æ_í•õüÆ?ÇÖÄ¿>îÁ|íÜsû|Ï#<Gö^ž;×m}}âìp|LŽæ)z>žF¼'ßàŒîòxÑ|†GÙ±<’þóOÚ/Ÿ™|ç;ý{ùÿüqòœòPø}|ìÛ«ßÉKÖOýfÏóÚs]üècmãlãvù‡Æñòým×ýñoö²Nã1Þâ|]ðñÖâ/è©só7Ÿo´z:|Þúbê“Ó3ø·þ ù ?à9ôNÿ‚'·O#} ï¸~—Œ·/Øwôx¼é þ/öÕ¼¾¼CÉW_÷ƒs®ÿÓòå?üßïoÏ­üäáÑ£ù qŽ¼\Ïj£·}=Š³Ê'9NŸÿÐ×{®çøùdþ?ÆNø™»ÿ;y>=þXßB.úIÿ¿ŸÌSå|ã^jž\õÀûì‹j½ºþ Ò¿W¼Ö|Ås£ýÔŽyäG².軓ïwäÇžƒWuªÄÏíÞ|μ…×Ú¾&êòâ}ããKœk]l|°üƒ}j×}É3矂väßïzë߆7:ÎÆéæÅÆÃnÌýϱùpq¸Ÿ=¾ÕWàq~L|xÔ…ù ýŠ=õ½¿ïb¯k¿¸W’>ê)Æ[¨vm~ôS;åñAÆU^ÖÿÍgù;óÝ:¸ÿG{Nâüã;„îo»ôR?õëæ‘¿¯¦Ýà”G¼nÝ€ÝЧèÛð»v›™ýŸùºñz>?м-yÄë{ÏY§ò¨oO¯oݤÇðȯuÍ·ºLqÃÛÑuwßw±ã½Ï¢ßíWñGëíÅ5ú]'NÀ«åOù×ð¬ý¾îÛ÷aÆ'ßs¿=XG´õ¶üVøòÏÎÞb?;ò?Ú­Ò¾þ97þÚ{ý${l^ë±>«ë ‚wL}úQ‡‡×Åâ5~5ø¢ßÓž|åÝæõ­®eþÝ×<™¾cy<×9êgâjãr¿þú}òµÇû÷ÚuÞô±.¼ýêñíyå-Û?ãp¤ôôï¡wåwù‰·¼åíü×ãá›Ó7Ïwݳ8­üúð¡qýÏ_ò¨}áÁWÜÿû=Î~/gÏqŸq§ŸðÞ•Œw-Ÿ6¯üš|›'6l»ó@.oùFñéõ×>Nã1²ò±>‘Þ&Ÿx|/\¼xÃSá?ë—Ë??Þé¼³8Kÿ´_>»óR¹•WpN~o|×ÿðÆ/|íú7;ìÑýÍ¿öÿ^×u/yÝãwý,×ûÊVo›ïúôöaÿáI·¯&?ì<8qñWÜiüîú‡òr/õæÇþ_åûïhçÞWðÿü7»Î|Æÿw¿ùÕ{\çyáYÜ¿u]ÉKïëgô·ë4^¿ë ÿÎßÖ•‡h< õÖ¯Çz7~(v÷øîKòëSú]õá^ó¬ÝÆ{Ï×_ÏÃß&þ½ùq¨ùŽß»îÊsŒËs<×óŠ¯ÉCê<<÷Ö Âì‰=ýå‹O¯áŸïøƒÚAó¶æw=O¾õú¾T¯k>Úëû{ÛmþÕëË Éâ/ó'æG¼KÝn¼Œ8(ÿH=by‡#žKþUÞÆuÑÛýîzó×ùf'ôÄuô î心ßùOq!;kœá7Z'j½©qÇ9¹Wÿn<ãsï÷­7=y[¿ú¨Ûëÿì9áÊÛ?Ö‡ÁgÉc÷~nêÑåù·^?ùïã}‘ðÝû¿ßsÝÞË7ßÉó»ßÈ·oñ"ñçQ£ïÃ쌞ñ?ìÉý‘ûê„äë~ãÁWªokâAùʇùÆ'»Ïxõ³çoyê[ÞÚ¼é-{»¯ùXòô¯òâ=Ÿ,^ŸÏƒófçð bþà;ö÷à™Êg7%no-¿¤÷ô3ü}ú>8iý¥¯ú•x×õ:“‡sããÏîúïƒ[˳t½â;ÕýÔëþÕ®«'wyúòZÕ§ò î/*Ž‰³áEº_è+Ñç½éuù‰ÿ^;xã7ʳ×/VÞoü|ó…·öš4¿øï=–Ï/'ÞÒgq°üGøÀ×÷±z=ýe?o~Žœù7óPÐþ"ó×÷MðÒッÏß'ý‡[ø«æÙá%ß#7.óiôËü/9ò?솜á£â’æWÍ·Ýï¼ë Œ§ù?Vþ¶Çæ­ý=õ‚îc×ý]|Mø€×÷îú¸¼ù[ëQæ'ë8¦owÿ×ßOì!õÝ®Ø|$mÿÛ<­ù˜øÐ<1qm<)»¨Á_Ð#óÎnÊ«—GiÿÊ'§ßëgýÞ:»ç»N{ìúú¹}6ïúoîyÞÃÙ{ë'ï~ß²ï%}¿Ïx¼—‘ãc¿t8©ùâÿücý§ç9ϺúõéÚs¯>ðu½+=Mþ\þgy˜x¡äÉãµæñýÊøçñcž{{ðdñO«Óð3õ[惼øóX~”¿h?ÍòâՃȑ>$?ï€ 'ýâ䕉ŸûŽSüôôC¿ëÅv\~Î8á“7¼åw~§öú†»Š×èepkóÜ¿Ñü§çô¾8"ùÓô$ù5¾.Ç|g~Ÿë‘ôŸÜé}ýeøäâ‡Ç¾JÁ³þ~†+ÄzÞéñÞj¯Óý ?ùøNûÛ±x´yƒqéwîK¼z¼ßíÿwnÿ?qðÓýî;䟮O×¾8¾ñò»7Ÿìn~B?š?uþZ—2op,¿U>­<2½õ|~•¾•oÕîÛñÏK¾=9ò;p»Lý­ûY¾ò÷Éõ¸æìÖõ®Ã÷Þõ[wÌ„ÿÄÓûïÅr¿ëñǯë¬èCäØõ]ï y>?¿U.î‡ ’<ò‚àäG]ó_ôû雧ž·N×:g¯»q‡9¿çí½êko¸Îï7Ž{?›]ÞÑ{èìkïÅ—g4Ÿæ NÔŽûS÷®ûpíª‡w=d÷-ìúî7\ùØÑ8ÅEr7ÌÿþØ||ïúÆ)þåü½}Ù<—~Â/å×®½ï\wýòþðpuõ;þbuñW;ü3ß:\yXãJ®û4¾îïøµ:ÛûÆS&ïÇû]á¬_xø{þÕ¼›Oò5îÄë®ßþXB>žS=TO n^Ðÿ»‡ß¡—®sNÏàö¶CïùùÓ¿í§”üà±û+W÷•7H~7½­ßM¿¼MâÓã=§ÖŸê¯_~oD_ßò˜ÅÍâ‰Ö)űôsúa~Ê’‡ßÉ¡uw×Ó;ø[Œ«¼:=ÔͯFŸû¦kŸ*¿ò¿ÍoÞì\\áGœ§îýðõ//þë­ÞþÕßë‡:¾[oÏ8ø'ùÏÖ·ð÷ž«ýæeæ¥gìú®ç'?Ê‹ýŸ|ù5¸Gûì–_ ßöºOúñö¾Ï#n„ÿ•Œ'W’Gê^ˆ½‹“ô¼øÀó[OyãiŸÜʧ/^æ 7Š×áµý¾~Ç£þ[~¢ùrí­¼‚öNÿöÞŒùÍßéíöãÄ:Ç+•î»çØÿÿØ÷hð”ãÛnÜ[Wyý)¹ý†_xyÙ¾ǯòsð‚<;y<œ¶u\÷¼Ox‹æãá_÷ŸNž?\Âø}q‡>²;~¾»v¾ËsOýŸ±CúÉîã?âUãSãzâÿÖc”äÀj7üpqÃâuñyo\ç‹kèAâä_º8YÄ¿ó/ñõ3m_¿é…ö÷Ã÷>Ö Æyï ÿ<{à§è3>5¼ßôŸœàÑÊ9¼Ë¾Û(Þi_ÜI ½âŠúóä5“/9e~6o]g:êò¤æ+ükø€Ç~Øì½<”ù§ùöZžäkçÓµûýõë“û×øõò†äÚñé—ûÛßÆ-óùR‡è>–ß«Ïá äÉáy§'ÁcßFþÃoæ5üíê¯åaù¸…j×}ÅCouPçüQò§ù=z€Ïr..’ŸþÄ?~›ë?Æßg‰×æŸÿ†ßÝO®úé9å“[w„;ªWâeò·ñ@òâGóÛßß®o=²¼©|³<99ø¿q‘‡x¿Ë/Œï¼õ6p}ùÇú1þJ¾dÞÔQî¾ù-ù€ù ®>~ÃÅyêáúů²¿ðÀ[GIÏÄe8£|fæ}ý }Øy–w«½9«Ïô˜úÝò¦â ¿Ã¹|yóóôŽšŸÆÑäýŽçâVòÁ~ïg~ðM¿ýß|ñü{%ßÔKïµ’sqeœüªñ$ŸÙøÛÿ¾rö¡?âJë#žS?\òxïG?Þ~7Ný¨üÝ—zœ8\æ‡oS*Oþö]Møâû³kë‡Çà ã¥/á[ú~áÛz¥é?¡ŸüSxþÇ÷ä[ðxþ 7í»N?üÞv=—ýwõ]ûôÖ¼º¿xݧ]×÷È/•‡ ÿñmåØñú?»k…<èûªG•û‹Üë{ìýú•øóØ$óûø¿xÓ#=‡CÙ»8=ÿ!íŽ_*oOÏ“Ï=xñæÎ]Ï?¯ßË‹C׿OäÇáåÔKfçŽõÇåÚÏ7räGzž¸9¿ ¯‰Ÿ©šñß/?®ßþÿ†w]_ž_P>ıy³ë“/>Ö¿›ÏþNßrÝú×ÿ;òü<šüm|DðFãèc½}yX~‰=¹~¾Øëpbñ$~"vµõŽüÆÉÛºÇ}èô ïÙ~|“þçsçã?OŽûýú¹z:þR=^{~‡WϾ¶/æÉÝþ˜»Žïÿäd\õ›xÞ»Îs›¿~h¼¡'üWòëÇ÷;èý¡ïü‰ö’Ï 7Üïßã‚'Æ»_owøWþ®õî3ªÞÂAÚcôÏ}Á·÷Ø_Ö3?‡ù7øŒ\رù4žò ­W:ÒûòÄü Ü~tq?…ñ9áK»¯ÙÖÍðoô)8ú±¾ÑQûŽ~çOËïöØz¥cø‡îC4?^ã›ú;ÿe¾øKíµ~É~ôƒ=ºß|¿ûé'=Œßìû¨ækï]á©Û~ÚóÙiùÑôsúÁgj—x¤]ó¢=r Oõxÿ&¸i<´ç×.ä炃‡¿ákø£q1<îöA4.ýg×왹¿ñç]×ïüûøµñ;ôU»âJó¸ŸoÞÞvƒÃwÞuoí$Úûé̓Í“|UÞVþ°¿7Ÿë9½z[7¥Ÿõ›ù}øLÿéþÿ)þd~D<âOéUâãcݨ#ÿÞÿmû㜼ù7ø½|lêdã}Äkñ‰\õÛ¸ý¿85u¤áñB<'WþW?Ù ½ãGø›ÙGùF¿w]—öÊG4¾•lžHÎm¯üå[ÞÇÏ9öwíÕÿ½­WëóË«º_ûg¯gïÚk<áçøÙð°ßf>Ù©üâÜÑ|½zCʯÕÿ&o¡¿ôN{ìžÿ¸v¼/¿õ#òz—Ÿʃö˯ë»Ð~qÖ O÷¨óñ+iÿñ~ûÕ>?V¾´ü!>F?<—¼µßu)É/uìú?×µ^æù‰7ßEÿûÄñ»âIpù챸ºþ>–G§¿ü¯ëù-¸ã)__|rGu°íËA>á5û¾rß/˜Þ™gò†—£w7æýQ·1ÞÖÝ[oáWÈ“qW”ß-îs]ëtŽáŠÇŸâMñ«Îñ®ÑÛ~wô‘”‚Ú÷‘'?Ôÿ»ý$om^8~ÍõúC_ä%ò ¸F{ð!?Å>C?ùSyœß»Þ®å/Ùcø’Ç:ËòúQ~¢÷ñÇîÓ¾¸ßë¯çÏëgÃ3=ð¬ß‹?ÉAœÔäÁ%ë7†?ñ×ü–üD¿Ì¯£ùß–—Ò/ý³ÿàѽŸj|ò}ÿÿmÿ½øÁ^µ—8[ü5^"'ø’_l O4nUÏÂ_=Þ?mœãÙ }é:Ú‰szP^.úòºZí¡çá|`y¿ê£óÆí7¼Ñzläõ¦OoûR·>2~PÜJ|Þw‘õßuÕóòmpªù×_Çò\ÅK‰_ýýð<çúÿ^òxßËïá—_± xÀ}â%üÂ/v<ÁSkGŽÚ ïÒuÕãé­#à7‚wvÝ=ü˜çëq„Þû³ÆÏßÚku¶¬;Y~Ýü¯ouÇüÎ_7ißQ\a'æA?»Î”Ÿ!¯É?&oý爃ì/Âÿ‰×ô2üÕúO>É?ûýÁƒ“¯ç†jÁü¯^,N?¼Õ ‹cŠOŠ7ü.nów­ÇÏ=ø÷7¾Çþ_ûÍw:ÞâÄ⧎«çoõÔí¾†KÙ“ãª÷ÓOöövžúõ÷‰¿ËƒÅ{ý£?ÕkG׳ñ:üû›|º¿Ë×pçëþSåéŸLÜWž+xö5¿åÍøoq‰¼Œ ¾ágÌ9ò›ž‡_*ÿœãêÆñ×oû+ìýªøÑ7ÏÝ<Þ¿K|ìR{¬©}¾Ìgç­ëº¶_|AÎÝÇ“£ÿ—ß׾߃§ÏæÝóû×ߌÏxù{í4N‘?Ä}壚Ó{ú”<èñ=Õžë‡yâ—ô?ñbõsroúXÏPžVJ~9üôc u­ûdç×|Ôð¯vâ¯ö¾08dq+<ûò³6üÞsóÉ¿­ßø-ö/®»>üÛâGxì­/$/ók>ÌSxöåôL¾p×?ðYž[þbuúMÅó«?=¶Ø<Ð8É—^±#ó~úü½ókÏ÷´VÏä÷ù‰Æc~˼Àcü.?ªßåùè[y÷{®÷ËáËáXñù<Ûü‹+Æ¡ü¿ù7Ïô'ãÙ{âå1cÇ}ßá±/¿ë‹ƒ’ÿô}®×ï %_z¬wulÿ<¿x-Ç}ßçú7¼BߊKÙ+½cìÑ»ðîïÔÂiü™vÙ#ÿGZ`OÚoŠSš_¶¾ð†›ý.ß* ®oêÿ÷·O¼¼,¼ß+Ys?ÞÙxvýø„Gÿ®½®?pÁöw?®?û®püìô"¸nöYœG/ñGÁóãð7üyò¥¾ïåûÇÃe©Ã/€·’¿þÀ_ï·ÉãÆ{'ÞúåäÏÝ'úQÇÌsû\ß·ûÔ¿òkåéå/âëüNßÃÒïñ”­_”k<(¯ü=ÞȼÓ÷³oúH?åƒüâé°uÜô†}w/O¥§ô›þðÏäãyüùú?=ð;\(±oöË>=7¸¡û¬Nžr¼}ê]ú½ýWÊÏñäšyÜ>"æÎxÉÓë$ä-Å­÷ÇN?Ì3¿Ë'Xÿ⟼¦yaÿáW¶Ï„~5Ζ§ÉM?ð–âÁãÇàÝî«´÷Ýð—øJüåÏïûŽ¸ß‹?áWùÈé×êí7[ç‰ßôûÝ·}7Ã×>ðuäòº.ëkG÷G–£OÍgŠõÓÿé¿‘ü˜ÿ§øÓÆqø08qùKó ÔÑw=\ɘ?úÇ~ùiçþï(n7nÔ_Å~‡Óø?ãïøØyð“~ç§Å/~‰\3[G\ñøþzqGx€æ/{¾8¹Ëú}ˆïé} ô½ëøSòßÛßòEÆßyoœÓoþ|‚ƒ·~§y#Jîô ýYýÀüÓWzÄš'óÉ/òï—ÄÇû¤9ïÎ>Ø+½•oâRßêûÎßÕ/œ¼?±3ã䟌ߎ٣þ™ŸàôW¿ä¨¸Ÿ¿æ‡³>aï ˜Ïâ®â3ÇàëùÃð™ãUøø›Z·Á°{zyynñ¯þg~‡û"Ÿé+{ îZýÚýñëoóŽÄý~·{õðÔ£ñZÃKôÀêò4ú­_ä¬_äìùôÁxÈ)õï%ìþøÝïâÏ·ø1õ¬à°ÉûæA^9>‚ßJý‡}ŒG…«ÃÿÒ·ÕÃä­å¥Ù'9À…æ­uD¸—¾7.?4N~Øïä©}óÃO™q³¸¢ög<®‡/“·¾øx»çòX~u.ÿs]iG½Ü÷€àÀ~ß.Ü>7Ÿz?¼™þo¿L8“?o}¶çæ·<^øÍ·ï.×xß<}ðkÅ}ÅýYÆþöþ…ùîúÿÞýžž—·aÉWïðœø¿Å9vD®ËËÃ×n?ñ)r_š¸¿|ÏsÊw¥¾·u?ø@þ¿ù™qjŸþ´^ؼ$uÅéQçž%žwèë¾­'Ágän¾ƒãÇÇ™¿àöÉ×üÄï-ŽÓï;_|ð\íÁÓüãO*>ÓGGó^ã«ß1ìü¼áó?ñöÞòã}œÚ'½ïé/}£ÿâùÊ<,náÓ‚³Å=ñÔó]$ÿî5¿ðFìÊѺ¡Ù ;÷Å»ðî›_ãÀ“ÐÿäÓ“\AÆåÿÆAÿ=Ï}x»üÿcìcø±|`ôbv½ù¶ò†KàØèÿc½£~´~éÜsS}¼—žxÿú>\eþ3ή{è{È:®q°×ÔöÞ§ù OóߺN^¦ž•ºÖÆÅñÏå%ŠƒÃ“Îõwωß%OÑãÇú5~Š¼²¾àáÇR_^ÞйüGžÍï«$À•?ÃÉoë7Ì'ï‰÷~]y/Zfß/Ž¯®¿«?߸vlÿ{t|ô»úô³¸°û^nŸtz½Þ~íî—W°ïÔ–§×^ÜGÞü?pýW¢·ò±·}l·¾FøñÀuw=x¬Ç‘¯³?q€]À!âýÍ8¿‹ÿ^]nã/î¨Îö‰ý‹æÕ<ÃýŽž¯~©Ÿð‰þ›ÏMïá/›'˜W~J-O,ÞÁEÆÉwÅÙ©-N‹¯åiZ7ºóÕŒƒ4>zGÞÆ•|fóXÎËøÕW‡ÛÙe¾ô«ø«yF¯ßÈWŸö~ãä×éù…Ñÿosýä.ç‚óö^3;^_| 1¼ÁN‚Ï/ùןv¿YT\¨Ò/zà9×ÿOâwò ñWî'ÊǺžþ—çm¢¼iââp¯8LZj ž&{ݧ |Lñ&9ÑCò”Wß<ö³æ¿å©ëOÏé%9'o{rú!õ×osŽŸ£ÏüðøÅü~“äÌOø­/UüÃ?»®"?ñÜýü=ÿ£ä·ž®þÅïÔ/•xó[ÎÍOøŒòà‹Ë×þ§ö—~—ïè÷†{Ù‘:‚ëê?ù/þ(þlñŸÿI½d¼PüÜòÞø½}ÿ%óþø$œ ïÞqï]×'¿Å•7¾}÷üþ¿ú÷õÏy÷“Þp>Rÿ\½ç<Þ¿c‚gö½Ë»nGuz8ÐøàYGý†gïúÉ¿zrÚ8O÷ÞQä²ýãÉݸԕäcp1|N=òsü>=¨ö{pÙx=¿ÓC~ þ‚cù1uâSñž²úÎ?ó{ôšÿ¡êÍ¿S/^ÿÌ y©«æøX/öÂ_ú½u¶ðk‹á•çŸ’ß<òqõdóÄ߆oxøøÀÿµOþpjüÐâZâüüYxÙå±òÛԹƫ“SxÛÇ<òOá=ø´ùyõ»GÏm¾Q\a\ô•ÜŠÏ«/æ?ù?\¸uÌæ?q䱯<ÚúÈ]·<«ëÈþ‹¾õ}¨åiô‚½y>Üâùì_»®‡ëÃÎŽè±ûùký¦òmvÉÂwïùð¶ëÌCæµû4.o@óÏÕ?ùHù£â“à/ëw wò¢Gž¿Û}m†‹÷Í¿¬?wý'öòR—Xžd^äeòæðnßv^´CÏÍs为ÜÎ~îúÄöÊ/ù]œ“/5O’ßÀûâDùq¥|9{3Oxò.¿DÿɃ¾ÁïæƒÞ&/oðú}Nú,~ò³ô1quy<ÿ.>Š?ɧúýˆáÞ¬³Úz)Ï Ÿ¶ý‘ȉ^ð›ôŸt]x½ñÃñ÷NOûºe}Êëþ¹á!&yÎÍÏð'ÂqúÅ~]'NÂÃ÷¼­û<ùì}õ“ÿþïøvßýþxïÎuîxò\;ž—ç¾ÕKûÈñ'ô¬8ªúñá/Ä{ò§=ºÎ^hÚ|ôåwþex(ö\¾pëȇŸâµ{åW‹'çïŠCØ·cð¯þŒçp<¹ Oxÿï\|4®äÇ“çy¾þ³Cr+ŸÆßÈk;ð‡¸L^ügã=ÓÔ7'ÿâ8%|‘8-ŸvŸù0^~ËÑsc÷ûn–øÀ?’³xH®ÉKßGk]NwðÇ'/ëÁº^ò±.%×ízò6Ÿá·í«·ü…¸öö~³üìå8=‘†ß|_xÿîãÿ°Ãા2üjôËsRÏKOá’ø5óý±~4üðã=!íГò¢É부ÿ ½¦.=|žy~!þi¼aô°ûML^æ…¿äèû ~ìoš<ýuŸâ•øÑùkãô{åç÷ƹĿárà?Ãô½¤ï¢Ÿßù=8•üË£¦¾Ö}‹Æ«À;ÁÇ÷Öñ©Ú /º<%uÑÖÝŠçÿw´Ï.Ù» Î^£gݧu·Oú/î¿£þócÆé>vW>ž~ïŸÁqøÊ“Û‡âEøíä‰7tßö™ 'ò[ó*þ_ÿá=ë?µÿøž›öÄ1Ï ?¼ï7á%ñ³ì¼¸\¼åßÈ98ÿí½òá}ù›xë:óí¹üSò®G»Î›i/u°ùuúÞú_íB<`ü}øþËzñ~Çk﹓[xµ½?@žá[g'pÞY¾LßµÇÎøOxžá/Ù)½‡›ÍSã˜ëw‚›k݇{ÇðúKŽ‹³ÁíÃÃæGžj^£ŸÃ¹úï<¼ØÛúžÇþôôI|H\´_êxåÔ¡º.j|›þ²ãÏ6ÞRCp½þº¯ó'ÑNä5ûp„£ZG§Gâuù1Ï ^_ž)^˜úk^ùð#ÃYì[\Ò®y3?Á»unäS^2¸oÏ)Žðœø<ß+> Ÿ·vrÝ£îšüxû·²ýg/úu}[?DÿáRú×zDæx€_‚’§ó«û?Cá‡ä-³³è×÷ÕÛúýä {/Ò1õ³ò´^/ü^ñØ×¾OðØŸ¿x¶~'Ýú1ã7OwÝ7¯?'g½Èxcz!δŽ“þ¾~ÿ.~{zD¯à?ó/žáwñì^¿å£©l=‰yK^¾ý:ô—žï §ÃEÚ üÔy ^Ý>©üNó‰àãÕ9OþÃið*ü¯}ñ_¼pü稛Ÿ~çvï·iê¹ð`qeÛ3_~oà“ò†ð»|Œß ÏÉ*çÿE®©³mßf~ñåø]õ®„«àTñ•Ýð#ô¢z-ï„ëOý¾õFð?ÉÀ ðwøËî÷Å~ŸâGµSÞ­ü ý}ÓsòI\Þ|”—iO¾å÷ä‡ÝOîñ]¡ðœÃUü»öSç>µ~V¹ù¿vùøÍá‡ðÌ{ÿ¿"/y^põâ#¿Õ8Xœ¼óà[Â+=øûä{ÞÛïÎ_æex™Ü‡m^Œ—œýþ²~ã»ØÍðgò‹öóÅ>ù{z¤Ÿá›ö=aGójÜòòðÆ[Þ÷±þ,ú2þ÷Æñƒy?9X_úXwLŸù)í{ý§oü+~H?èSøËù›òäÆgžÊ‹‘³ÿWoãgºþeù?^~ö'þ»\»Â—Þs¶Ï ?l~´c~R_nI¼™¼ÚŸÈoöØõô³ñ¯ø½xªë_Z¿¥WúGŽåÓ¿öÞž~»>q|ÇÈ{ù,ýc—äR~º<¨ø“x9|HÏ*'Ï >|ÔçùÕÖa‹#üYêä÷;â_÷>£ú }1Oì ÓßÄ‘ÙIòÝÿÊÎÌ9Ç/_ÔïkNd7Æc^’ß=êáË».ç»Úƒ=»n ÜúÐpjò’îóúÀù‰¿­>öÁ‹Ÿ\þ½|6¼ôø‡›¿Åy‚yÁÁ%ô¡¸^üÏú™î—óh§x…ÜÈ7ñkßùv„Ëà½×ã½uö+^›ðûá;Ïqß]çùp ܈Gõ|÷郯ßÎëïj·Í;ç¶~‡ÿŒu?ÚÿǃñKõ«ìÁÑsŠOÂû•§ìwÍ6ßÁuøœØïoÿ1¼t®ëºŸG»ÆŸzm÷)œßæÿÃGî½&÷Á79ð[ì€üRßÛ|%¾o¾ÊC4Në¿þð¯æ…ÿà'߬ Ù¾q©ol¼æoyÏó—ä¡ÿòøÖ=µ§Ÿ]ÏS~*uÐïƒs~ µ3<¸!~‰[á±ßlüõÿà¿Ç{˜å›Ä…ð맺þõ×w1‡ݯ¿ôÍïô‹Þ›ÇâÛòØÚ7îðb:_ñ‘ñ–_wnþËÿ;j?äç"ßñ†úù ×gÀÖ¡ŠÇøJrÐNæcvî˜| ïý—ó‡ðDžÿÈ_É]ÿá”ð u—äá:ó?òX·êùâºø/®¿£ø^vvmþµ/bä"þ¸N;úÃ.ŠÿÈ“ßÑ>¹º?üÁøGr.O¾ýQwâ_ƒöÜ柉ÓÝozíÓsã7ÿ]¯â÷擱Ç̓ÿ‡O|¼ç÷ƒ>êñp]ñxC¿ÃWNŸÈ¼’çl=·çõD¿“Çì; p`p×ð¢ëà;x.umønï{Ãsð!¼wó»ïÁ+ð$\ï>uyõpü¦þx\y×oßöÓ#üéì=rØúóƒŸÍº„Í_ó2í4_u~ºßí}¬ßs.ÿi¾l^ù=~Š¿M\~ðÞÚÇW§.ü)v<^ŒÜèWýWyrO]qq·õR~¦8›ÿL?v^~5<âŽå“·—¿þi×óâ¯û½Ðïêß]gå ÄÛ{®ü{û‡'\|/ÏÐy¿~ ¿;Ü’zðã½mív¾‹_Šã[o]Åu•‹côïÁ/égû]}êõí9óÉoß7ŽÜûO†¿X½*õ«GœH=©ë˜Ëwo‡¸}Ïÿ”ºàÞ;%—Ô±×½‡_ë àöY¾Y¼Wï¤oô’Þ'Ïê{{®ù£wÆžà/›ÿú¿~vý’ë‹ê’O¯/|t÷KØ|Ð3ã4nòwò¹åõ»Èw~"rÞzTý çoy¹xžcóòòû¾^æ±ßsëPåIšG‰gðµ~×ε¯½È£ñ«ùþx$veœ³úYÞï'áÇà*8èä mß<Žºïýß¹³µçù'ûôìxzâ½™Õ›[÷Õîµ³uúv÷Í]ç}ï'lô›ÿ7ß×yìëîøÆ;ú?œªð¡ÿÃpéÍ‹~ì{ ð££vµGÎÆ­~ïºÊM?Ž†gõË9mð-žûÚÝ>NíWêŸÞ?zì×tÿ'ÿõ+òÁOnßÔ{Žùìþ¥{þéÛp÷ÉkG8þÎÿ†/yÜqótrY^Ñ|„œé›ëôǼË´+ß _øõðÚõ~7üRÿÏÁå­ú½÷;÷\~E{å3SöݼÇ{ŒYÿ´<öäòsüìòb|§vá‰àúá^ýç;žàš‡ŸN´÷®Åí¦^ó8‡—â—÷|¸F¿ÅaüŸüª¸Eüáã^^;ú×ñêWïǧ‰Û~G»î"øú­þ;ܧÝàèî0¾˜ÞŠßæ•|²e|qìg€ÿO]òQ_ ?ðXWÛßÉ¿õº>Çøß®£gí§~óˆ³÷»øÍoÙ÷wxÞÄwÂe÷ÜÇ÷êámçþŸÂsøfí¼áXøT?à@¿k¿8\»~w~ÿ·/€ïGý¼öøîæ×òkvÿãø†ºNÁzˆæëžïœÿà¿éAãJø£½÷r?èý­~¾ðv«Ãk¯Ö£~à{=W&ý_ÿxŸŠ\²n`ãºsøcódÞù_ýç/Œÿ .{Nñ¹³ø½|"¹&ŽŠÇÝïrñD?Ä1óOxGúèw?pÿßþüðÜæÿwÿãûôáÿÆS÷ÿw>žÞûãÓOý~Üxfíà;]þeïái=îŒ^Xï6¾ŽÜÌûÉÁï•—ãçSÿ…–ÏÓ«>W¿’Çm½ØÉqïÝ—þàÙöé!ýØ«sú—óÙ[λ.¢ë§ÆCÒGv×ü°vÈ.ð°ä~mïAv|Í‚߇Ïár~ßzóvýð½¸îïððŸáÕï„š|ð`õ7ÅsäÔy ÿµ÷;à{ülqâòüVõ†>º¾8 x«¸Þi¾ÐãŸQ´|iñUxÜǺ ¿kÏyù¯Ö1Ú?Ï)/Öÿ÷ùÚqî˜x¹ºtù¾ò"å‘Þê1á}¦/ìSœ6y_ùqóÞ~dz'8Ìórœ]“ ?¡Yß°|§õ$ãggÎïùÛ/?v·uôåŸî>õžÉ±¼+=*~걸§|ØÛñkè_yËæµâ‚u@ø¿y]q.y&ÎÛÇÿ±îÞüh~‘+»íºý,Þ.^ï8Ãã>ò‹â¨ÖÕˇŸÜóµãÿÚ+®ëü9ï<´_ourï¼öy7žígíŽÞªßܹïìtßíáŽäCã1øOÏ%GöT?Ðsý Ϲ¼Åñìy®sz׺GõŸ=‡—øôÊ3ò?äÂ7/ï©ÿüUxŒú±OMþòtþÆu©¿¾OÐzRëV•cy‰æãÕC8 ~»çl«ßñ–êÛðÙÉsë#Ÿüû‚º/õðñ®×âF÷yŽöŠ_õÓõi÷«ï·Æí=†ä‹ËGš¿5ÿÐnë ©‹ö=Š7ž°<|÷÷z|Äuì—‹‹p2|šõ†<ž¾òûÁµËcäíÆÿ?ü09ÝÿûÝ™¾Ô}‡ ‹[Ù)9iÇóº®&yA÷¯y¬ûK½ÿÁ›5zNã yjþáùÑÇæ%Ýbr2ïчÖ'×NãHósý ç¶sÏß÷%S/Á?n_zóžaë?ç]¿Ã‘^/ýݺEý)^}‹så·Ì_qÎ×x¡àúj^ù´òæüÓºcùŸ»ÿcô{ë'è›ç¸ŽÝ¯ÊÙ]ôðÁg×õïçÚ~¶½ðµ['~¶ß-~|Q¿‹£‡Ë§Ñïò²üAüû÷ÑWñ`v]\òðƒž[}+o÷×kßžçþŽSÞH¿äùì ñ±~³õ"|ƒ~Õ¿¦îöÈË›•¯mÝ\;®slþ»yì#×¼ªv¥?æ;¼ÜC®Ú9½ý˜‚çïåå©‹>ö=á_¾_õÃﱫO‰SÞçè¾Þ³Ù÷߯=xñÃcëïè½0ï‹­Ž~Ïùpã\{Ú?ùjgxï wÞ¼{míßýžï}¡}—éÆíØúôì)<ùÃȳ|\óçÕïà‰ù/zO_›çè—~†·\æOú>Ǿc“zÓÃoégÖ­ ·ðÅ5äú²ãÁ·k×±øˆ=W±kúþí±¯.9ÉðŸoσ?ÉË<’Wòðú÷­sL]gþ¶y ½ò»ûŠoø~ˆŸ(wá×éy¹v~ºö4ÏâtôgöbÞ]Oß’Ÿão¼Œ]>¾ÃÓvîù«Ï³çô/yÃcý%»>ÿÎÿµ3Þ£ukxö— ¾ÀËŒ·ÕÏÔÙû2Á‰]ïÐ}§ï{Ñ«ëßä"c?å}Í{í7þ`q‰ýó“üy±›Ô1o÷}.zl~õ3u©òQãÛŒ_~|óá;<ý^áòôkGþ=øhr,~§/Áñå)H=vße/Ñù¥7쨼[êc÷_Þp]ãVýRqtãlxÓÕø‹kwúÜx]>Ö±ý¨\˾}?áÑ.y¥ÞÓuÝó×ÎÞ× ±¸ ¾‘|çñþQùar©ÞëOêG¯õoÿ/±<žù®ß÷2oü®Ãw¾õ÷üí×^÷¾5\¨½ûÿcßú;ðŽ'‡Ç¾£Îµç¹Úƒco>§—wÝê6õçäožé•< õÂåÚq?»fçÅwÚMýxß#ñºßYï¼?ÖiÓwzCÿ‚gûûõ¼ã¨ŸæÊ¿ºÿ Oò{䕸8Þ2õÔǾ2µÃÔÇZwYÝãäf^‡“ôO¼G§æÕ¼ðêHôoö¶> N_AŽÛ¦ù³ù(þ¨ßKï{4?‰[þŸú=œ1œÃŽÌßÙ…ù$—ÄÇá_ýL÷°›òŠž_ý?þˆ©w£‡¸òV¯$w÷ó+ÅÏÚ½ùýhþšÂñ䔼÷±þNàsr(/ÿ”'ßöàÕ›/µ>üVgo;=¾ñ»­W¼Õ‘ÒÎôFzý¿B_àFy§ù99­>UþËýÕzÇNÂ{ÁK­×üÈ"‡½ŸÞkòb/üåêCüŠû3εçwúèù÷}òǺdÇ{>?ûØçVÜ /ðQë.­Ï†~¬ó óÈ'øóGNƧýòäP~±ý«_ä‡=7¸àõ{fžwz±ý+3žÉÜʃv^ËS:ïxè%~æôaûôÀgêÅå á»âA¿;ö~xòäãÿÃp¢ç„Ÿ\;®sîy®‡#ÓŸí7Ä/³_þUæÅ?<ö ©ÿ4ïÅYY‡²cÛo½,y«x·:ûûGzÂoêWêÈó+ôˆ>øäÒõ=Ÿñ…xGýÇémùQuÊÖQùû~—W†«^÷Ëq^<@š6þ‘3ÜŠ¾ß¨Gùÿõ{ë+ø•{»yìS£_í·~ÝóæÌ÷ÉgzD¾×þø·ú-öžºâò‹ÖÃ÷lÝ ùȧémòŸÖWØÅð1=¤ÅÃÅmiwy,?žw8½x0ùÎô­übqª~½Ô?ûRiÇóƒ“u·âÒðæûŽý’ó3ÆÏÞí=|Dë¥ô+ë-ö>ùÊ;[×ÿœ›gG~ß¹¸H¯à*q*< uÚù¡ý`·üRóÒÄÏǼ&Ÿ{àþäùoëC7ïágßøÑ×ý+ËðÏžû²Þ}?p$üvóôÀw'WûCnû{ÞöïqßÉ{ïƒû? ÿ¹îÚyìcyz`?v×oݤºýõûë÷7ô˜\È^°KóCOàÿ§á ]·ïG‡7™É“ïÿ?ûiœ4þæÇôÞÊýuóé÷ð[ò£ý¿ôX—¨ÝÙ-çä÷côAÜß‘}˜¯ðÔDŸ£ïûî;<,Žšý¸ó£gã™àf#ŸÇúóâ2váÿž_œK¿Üüûx¯AÞPݤ޴º:Žùq½øô²® ¼Kå¼ï èçÉ÷Gz+>ñ᣷^˜ý’kŽÓ·àqú3¼]þ­¼0ùÑ£èÏãýXÇÖ1=Þ.ßnþ‹§Ã=Þ'-_Ñßá·àIø®~s,nÃ^¿÷ÿâH8øž·ï ]¿ÿ6^»û>\óÛð¨Ûo2u´Ùmí(þµïi<ömräGé{¡—ÉÓ¶žœR ÷ì'¼ÇÖ«omŸñ/”¸¶u‰ä ¿© WO’/O ¿÷ú>§óèÓã»­«„Û{r‘ãëw›ô¯x#õÈÍ“¸Õv˳œ|­Oþ¡þ½< |”|屟²þ›úhÜô¸ó^|TþÛsõ3uà­¿8¿ü“çáÚ-Ïo‰ëpHôsãÖz—?ߺ‚v苸•|îÇħÅ;v#î4ןùÝõßÆa~áVò(ßØcñý$zÅŽ[W€gé+<’8Ýý=6_ä¿üðÿå×7ŽÐcÇònÅcôˆ<ù—ÎOâËü¹ÅÆ£'ÿ|äý®g÷æ‘_¤?ÉöÿØËc ž”à‡Ókã‰Þl^ø'ö@>ÉCf?©ÃïHέïyîüGwt}ëƒiß|n_nqÌýŽÍÃä½®ÇCªgˆs'g¸ù'r•ÿ±óÖ:rù¬Èáñ$zÑõ%æýŽûþùÍÇã;ówün»v·oÑõã±;>Ž,ÄSžûd:Þó¶.Àsüÿìbû(éÿ=_ûºN‚Ÿ¨¿h~Y=éúá~ÂsÍ+¿I?²~¬ïÁîzyTìéxH<„÷ô7ùgù;þÝ~:ìoñØ¿88mýN>½}zξʛMoÅ•ø¯Å~)<Êë~á;Z¿›?-¯HÁ_ëWñ¹oýù~ÏÚxMøU¸ x觓óÏ÷¼Õwä›åE²~e¸Aû‡É?õ©ÆËòùâ¢ëŸßù ŸðpÃUÅïYúØ·„˜~•¼NNÞßÿñž£Î¿ýMÊ«„g+¿»ënÅ¥[o—x]]ܶcpóðÿÁßxùÀËô\ñœà·ñ+áÁ÷ݕ䃾ä·÷š—ÖNŸ<àáân¼2ùþhÜâiðåw•·¸¯â]œœé‹¼ðž×ï+ GjW½€=зð Ó?ó½8Éïêÿ{Ÿ£ß×áG?Fÿ‡§éy½Ôëz^œn¼ÅiôŠêKÚ?rb¯Í{øíä!÷Ýé¹øì¹þžÜßï¹ëVGw„ë®_ðÛêï§'ÛgS;ÎïyÛwóäµu¤÷ÿñŸøS¼eùQ8Ÿyòë>¡ß¦¾3ý"çO±óýŸ?˺”Ǻwþ£ü^ùèæóô’?Õžûë—='õØÇþ*Á‹]×ùø~Pôªû×o¿ôäuóçp »e?ú ÐñËÑ|•'Óo8…°Só£?úx¿‰;{ÏF?ù5íé—ù)¾ÿ͇ü€üZ‡"‡ð·[Ç;yègëÕìڸʻø]»pZøÀ­; ßðøî÷K~ú¨ƒ9fvl~výœ}…G}ìOo»Þ?i¾éGâíƒt?¹š÷ðàÆû1qíSüïâ)}L^¸¸l>êGRwXýŸýä¸÷üø~Îø’gÁU}Úµ\<ýçG=—ýðâ79¦Ž°ùêsç=ÖŸ”—Jž·<Ö»ÇÎõ=ö§¹Ÿ'ˆßêûøãÕ=‡=ï¬z#ÿÂÒ[~5ñ|ëeGØQêÍó#ô¾Ó_óÔøÂßñó7Æ[ï4\¦ÿ©ì{ÅmæÍ<—ÿHî±’8H?_ò—ýN¯ø=zÎnùy¸™ßôÿÖÿè5?a>äYÚ§·ô=üèü´x×<Ÿ ¿ûåOøÝð)Ÿê¯äYÅïÁÛg~ÄãݸöýÈò“×ß}ßÏÁ™'¿½WŸâoÞ=oxðæço¯ßûÎåé©ï‹ì{–ÚÁWâK]wã^¿Ì?;d'ÉÄÃÅwþÄ<“??IOSŸFoÙ3»ÿôx¶ñ›ýšWxÇxðÿáý>±ïà‹Ç{ úãúÄ•7¾gë•È‹¿OýŽßKþßï ÍßÁüþò³å‘ùƒ7>:|ÂüKyè_þ?^X¿Ëÿ6îè?}2NñŒ?¿˜'òjÝ>Jc~ŽÜ›ßÐ?~)òÜ:ü{ÎÏâ ½o=ÈsØ“þ²÷óW~/,ûéz¦ñpɳg7ì3u¤á©kÿÇ{.ž^{Ú|‰cáOÅ‘ÇûHâ;Ñ/þ?zÎ-¯ ÿÙï[>ÞG Øï >Ö;À§_ŽåcÇ'wÍÄåðó­š÷âc×ëÿ¨?æ=} nåÿ½ö£y‚?É‹þ…ÇÝú Çàå«ÉûäIÖ%l}Bxõ­·Èy*»ûI¿áí»> {ì›lÄøšøðuBü–öØGê,|€¾e=ÔòHöä~ÿ§ái6ÆOÙ}cÿü}øŮӖÿ—çqû<\øø»u1xƒ¤¿ñ—¾ÇõÀÕoñ§úÎÞµsÏÛ¾ð|†,~ó{ñ^®kY;p%œ‰ç<9¹~ïÁémï¨^~Ïý_éú“Ïp¯ñ™7ùAø³åíׯ‡]ïe÷æ58lß ÍßË4¡ü͛݅wé÷G¶îÏsÍâòêÈÁ1[Ï~ŒËxÝW¹Ò{ñ-~dþÆxÙ³8Þëß·Î^VâØøÉžÉAø óÁ®ÈAÜ_ðxŸW¿îü§øõá óêùô)8tuºä1ý®ÔþÏ¿—¿qþR+îzÔeéÁÉwyRpÿ§ôgñ”þ‘—£ñk½]~:=7‹OÇßÐ7íUnåÑýNîôEÿ“‡=¾ÃPþ0qöQG|ãUZ'€ƒ3?…/YþdÍyÜùÕv›þÎϱ×Úeyeù²8CÏÅEýd7á;Æ{èOpúìß1ñpuðò.'?ës¶Ÿ¾xÇÕ]ƒ§öþ0½0þò9ü}4~¸‡~W<'qãûøßž¡ÏôFûÍçÃ{®Žl<±wýø9z_õ‘Ò{ý©žÈ‡Ìƒ¸D“u_ŒÅÙÔ…ûþØÖ5h_¼÷È;ëÆOÜs¼§³:dø £ë†üNÈKž“88=/¿rúû£8f¾§¼>7ùÖc¿Ó‡ú—¬G˜?ÜÖý2N~éúýáä:|xýNÄ[–¯Tï¾û¶ÿ¥û´{ý€ÿÔ£‡Sµ{rZûÚ…Û¸öÚúﾬwåcýý€Ç‚v=ÿhëÌ;;â—àqÅüÊ+èuôdþ1ùÀƒ_`wüIòãâ½Ùç·îÉψ×áÛæ—äÓäÄÏÓoòŠ|[׿u åÜßÉO[wˆ?z웓uÃÆÏ?'9‘{ðùŽæŸvNÞäýZÞ]¼ '˜WϧWñW‹·â¸q†~Ð>¹ùÝøù[~ä|êÿÿo›gÑóŸŸ¿þ|Š_í:´~—hþÚ¸é ;§gü¶çtÝ‹~…JnÚë¾™ôó'¸Q{á1uRýƒ+äuá£ö~…q¸E~­—•_ ¾Úúˆ¾ú›«Ÿâdø»ág÷Ó‹ð”ÛßP< ¯7œÈþðnâ8ù'_Ø>àp >ÐsÊç˜göA>Åùü?&/ä‡ãW&×ÖAÃ_uÝËòÓØýöCågÙaxÃîû¶ñ‹CðWåî:8ìäqïçýUþþœmœÁų7¿ë7ÿGƒëæ·µã÷ÄÅáÂÔcŠ÷§gÉwǯ_øåáÿØähÌSy˜âRq c|æQ»ÑŸùÏ»~v"¥^§??Òóàëågæ)óˆgX=ó;†/tôGõqü%þ±x.õë­Ûô»#\¨ý‚ýþÔíWv_øÅ#¼ÇÉÍqój>ýnþÄ%r†Ï´oÞÃ'ÆΗúÝ1ú¿ø…w†›ðSôÇýÁ³3~HžY½n\…3›ŸÐ+ü<{òÜúuãç[×)nϲ:ûØ7;ÑïäõóæïÖ:VÆ¿£ù×Óÿ}_™ÝÊ+ÈAÿ\ÏîÍ?œÀ/{¹ËÛ[gõËñMÿr]×ÅoŸ›ðÒ‹§Å³Í·Ù9Ê2îÉ)¼þcAGxèž·ýfÊ爗劗bßÝ?}qœ|“o®>mžNÎpÔú«_ä…/Ø3Xþ“é‡úmæáÇÄÑ·ï¿—ÇÝz…ðÍ?DŽ}RØ)9Ò¯øÇá"v«ð9k祮!x¬GI]rxA¼¥¿­—³3úCž©§î}ÚÄÛéUí‘_J¾5üb^áKý#ä¥ô ®òÜÔ–Ÿx>¹Âu×ÿŸý_¿ùMóAø5þÉüm}KëÔå¿\O/Ê“½Øåü²ç¦Þ³~‹ì‹üÈÍ1ùÔâ=N\XœKþX>µûo'ˆÇáGºÎ`ý£‡ü@æ¯<Êwч®Ó›|è_ý¹y½H~:{w¿yÁ:Þ8w ¹ß‹'ï¸}6Ëgö>¸ê:ø®„Sµ‡ÿ<9¿}?èõ»—ág·pFëÕì¦| »Kœ[~Î;o]'xö±žœß¦âÆ®ùkñÏ|‹Çwü‰~Ðã‹}=ÖÄúóôS<ç›ñ‹¹në{“N=® ¿¹z^pÜÞÏïåÏáU'÷øUñu\Ç#ñ¯žžiösëþùÁðcãóüG=ļe>û‹ç¸|[> nÐcy=ès{L½dvDŠ¿ê—‡ùaòqžúÁòLÇöÏøÈ›WËŸ†¯ÜzÛÄëñ:ì°õ{핇ѿðú³ÿð1?•Ä÷©7_;Ã{áÿ¬[ו7t¼þzü›;ª·¸qlß÷›¯ý~ú³÷ÍË[ú]ŠcÍêóÉ·œÿd¾ä¹oöÔü€¼Í/ÿÇnÂG»nY}È}üoâÊü|”ö†ßä©Æ g7ûu=ÞþH]bñGÜà?ùåðœðøì.<ݾâ9ÆK®Íèý û×>{,Ïy}t?<k8Á¼âÕøùæÝð ñ»/u°é“x§ö«¿ò÷…§¼üĸš7›{žúsß'›^‡wê{k[ßA^ž«¿æ;8ïçàçG|+ïX\ÍOÒCyEý§þ¿ð3‹·ÁÛãËÃO?ÞÏHÔõ·ó÷ü‰¸í:ñæ>Ï+Ïe<Ññ‹©ÿ¿‹‡£üÞnïíeÐô.~dýŒß¬Ý/^y®ëé)û+?§ŽÌoéþšWÿ×ïò/äç7¯bŸÆ¼³¼#x ût·~мmú)>¼ðnkW¿É/8U”ÇÒ r»ëúþ üûGxÇ]kqO¿ù‡·zFqPðææÛ¼éoòç.O>Q?¶õ.õæ—üô‡¿á÷7á~ó(N'1]ŸôØŸ#vÛuiÓ+ã8ýR—(oº|5xÅõ«sv>ãáÿ¿þ~€Ûàºëï¸ðæißÃCᶻï±ú]÷îÓœŸÞxìS¹}îz¸ó±_úÉéoN.}Ïõ÷ôcû©ë¾^†Ó¯áå^_ÞUûáaûÝôÞÕ|ïyä »ÞÿÝwz·õìÂóN~ßÖ.éwü?1~“žÃQáç—W‡ÆGàåù›âÇÚ뵿ïʉ‹úž©ûÄ÷{Ø‹Ó쎇Cù_~†½¤ÞÐïúô=ŸõŸÿ×¹'?X{©ƒtÿž½ŸþhíÇÿüÿ²8!nÉ;à&íÉñcäe\ñÓ«+šßð5ó³É»×?þŸãßñ™ü³yäoïÈO/_4ÉÛæ‡ùçÖÓôÞâ!é]x“ñnð 9Šs슼È3|ÒcÝ¡<âæͺ˾_Ö÷Ççá¯ïÁ' ߇úûô7uÏ}·“ÜËãÿlÞõ·ó”|a|«ë²~gyGý½¢7ÁSåÙ+§á¨äAq°Ïðßüè‘Ïcýzò¼Ç>ô ž¨)ž ß¾ýcø ò3þä{>ýöœ§qô}ÓáçÚMþ»ùâÍ›þÞÿ­çƒ¯WÏ*ΣwÚ'~V¿ôÇ|i> _½üC»äÁ‘§£ëÙ¹y1ßÅ›p= ÏÿØo!yÇc¼üç‡ÿ¨Ÿêº¶ÊquÓð¹ËCøËâ_ò,^Ïz¨½OENŽüNò‹ÕÉËsø/qïä'OOññw«ch·õ‚Öà*8¬üiñ œ†ÿ¼öû Wº¿¸Ò±Ï…+áEçp«ßËû†/^?‚›û¾ñã;Óì4|ýðUüÃô"õ«úãÊ}Ï¡_÷¼ŸƒëZØõžG_üîœÝ±7¼jðU÷ëظÊËÉßè]ý";åÏüNÞä¿3?h>ÊC”—s¿£xžËWñä÷ç9“ã!éEpóò¯Î3¹†ù¹8^Éóè/=‹,o0O?áÿ†ßn¼ÞÏpοN®ô4ñpü=hÜ0¿w¾ýßÅ3y%ùÈûÄÛð_ý^Äã½ØâÖð—}¿‚+§ôÿÝý&üáýþsóùÖ=bßåg÷;½2?¯çÐÏ®q_xþµGïϦϕ›£þ‘ÃË<ŽüöñOáÛ¬SÛºKz€_£ÏåqSG_JZ/‚÷ÜWÿ Ïø=øuú€4^óí¹wü)qc~MžãwqÞÂQ廳y›¸Þóñž~²òÐý÷þ6~ìQWóú¤ÿô’¼ºN$¼Ky…âOíO3½9}™?4ßÿ?Öþ—,[ï;›ª«ºNUwÕ9õqª¯'ÂÈdˆ°Éœ¸\ÄÄdˆ±ˆ‰Ð bbb¢!&""&&"&B3wýžˆóÏÈ8}=ƒ2ò}3wî½öúxÖ³vîÔor¹çm£7\çw×¹Ïï7ÎÝWžñž»÷‚ü~׫ÿëüÚS—WöýË­Cð;ü臖¯$'vÉþȃ|šŸ'¾Înê?_âL×S4®uUù¶ñz¹oz’|jû­¯sú?ò𫉷³{ϧ×úmÜÉÇ;ˆƒìþL½|ýl|ß´oÞ¯M¯ù'ó>æÁñ3æná÷´>zï‰Ä÷û ã[Ãkç5NùcüØêˆäìyô¥ñ·~Žœõ<<—üõS wÇï?ô¸ñ¢õ6úP¾;ë@æg]ÇëŸåáÆI>þO²öõßóá¿—Ñrêz‹úuò#‡øûÇû ñ7î8ʷܼýDî®'ö@ONV×ÒâFóߥNûàÍܧà·Ç>ÐpRë|äpÏß:·ä-?[¿lÞR}àÄâÉðÕóSæŸ\è)y·ŽžùY]¢¸ºø<~g÷|ÄzJï#—ñ[Žò³äõ»{OÀs\/þðOâÕýþcãAøâõS¼uø‘ž„Ïlþ¼õ$©=ìÔsW?µk>Ë·ÞqßÃ…Ãâ‡|Çgu¾ØÇc]+y¦®5ùÖŸ5±ÃäËÓËÄ›~ÇìÁC¿ø¦½ð¸ËËðúìoxí>x¾òÎñw¾ïŽãOïíÛùí=þÛ÷o>öÝI<|êèy×Oû°¯½›¯­O½yÚ>ïw½ëÆoý]̯&ÿÚ:ø‡þÑÓúéÔ™¶mêX?Ä_ç¡W©?4þ÷ý§¿Ô‹ÏY7¾’]°SùLyŽ+õ»Ù ?ßO¤^𨗚zœ¼uy|xÒ¿Ä/oüÁ[ϼúøþƒùO½lr&y¤ëäÇðÙµ#ßë{ìœ[¾Ã|ˆ[á—· ¯B?›ïFÏûÖ7/p¿ñÑGý*_œ87¿¨}~_<=9ãé|Ï~ò®=à3Í_ò§áƒÖûƒ †Û‹CROû‰¾’¿ø&_,ã÷ëÏüMðË?øCí—üÌwüM÷Å{ðfô•}ÒGó7œ<ôQ' .ÿ¡ñ,y2Þ}ë]Z÷”¿$>>ÖÿòSÕßø¿?×NŸo\üú–§’³ñhŸ>8¶¾âþä7­—oÊ ¯ÓSþ‰ž›óe\âKðåÃm©[m=`ãHâÐô”ü¿¬Þg'¾vÝÁöÍ¢''·Ù™£ù¸ö½×°çy¾ùŒ?}Œ‹?à÷É5z·ý6ŸXÿÉÑ|Ä.ëW—.¼ù/ž|sþŽž·Þâü¥N0=VÏ3ü#}l}Ï‘ŸKü»çïÁc÷ü½Ïsóä>ïµàÿ”ÿß?¹kgõsü"ÿxýøÎu©k?øI|$|ªŽ÷÷{³ól~è3½œ'Ÿ^§7õ«ÉÛŠ£ÊÿtÿÇ{ºü8¼åy7žíó#ïh)?[‰]7;â=Rïn¾ø~½¼Ï÷÷¾»§?©#ðú]¾(Œ},OŸÊ›ÒuüáýÿSüêã»ô?“<î±/ŸëÅYòj~~cëä‹é•çÀ%ê§ÑãÅíà‘Oþ~xìÖxØù ÿ÷ðëâ$ûŒþ=Þ· ï:~è®ø÷Ó«í`œä.ÞÅÏ>ö©küÕoòä¿Ísø¦ÍŸvÈ“1^x øµún?°Ç:,~§ü;ò¼;ß{ó‰sõ—ühòµ®sÜ~×ξk`Þ­g(ßɤ>W9 g%_g—žWœP<Å’[ëVááû=¨µÇßÀî¯õÀ­ÅåÍÂÃv߶Årƒ¿à zUüfþé ¹Ë‚ãº¯íG?ûÝeFóØî»1ž£yðlùÁÇ~j±ÿG+úóSÆ=I®üÒõ_Ùüܺô®ƒÞ~.ä¯ÝÈe~?3~Šÿ ·àâ~¿¶ß¯žýŸ¼vpmãÎcßv8ñ®ß÷ï9êÏû>$ÞðÆõü¦}G¼áÉ ®ôúãÞq×_?¾'á^|%Ü{¿¯ø‹<[y©ÃMŸé!97߉-N–×áÏ’ïoßÈkg8Ás2üÿ#.ÁEÉ3æ¿‚ß]ì8µO¿[W¦gäкLêÍçW/.OÈ^õ—Þz®ûøýs?»à7ùãÉùä|yùZùNýãÿÉM¿ROiýoïi&Ÿ~|Ç«ùùáYàvñ+~걟[ê8ù©=x?ã§ÇÚ5¾ðãŠÈÇ|%Ÿìï¹æÅzr0ÿáÇ+Ïà~ùWx·õ[|eñ>MÞÖ}:·ýžøö¨‹¥.ð˜ï¼õØ'“Ÿc¯áËû¯NÊ®šo›çÈm~\³ ûX<øèàÄåÑæ1¼CÛŸ>6ïyˇĻæ§7¾Çw…ÒßÇ{ãw½¼iýÔÿ—|¢zÛ÷8—_»_ÿõƒý˜ÿ7¿âŠ³Økò½é{Ó_ò Ÿò¶ÆÑüÛ¸¯‡Øex–ÿ`Ü®zìSg|á¯Ê?âᯭS¼çøý››—ñ™ðÜõ÷ÁG“®ƒóà>í¹N½ë¾»þï;ä×O8vë/á\õ|¼%œNæå-ï5ÕÏêíÝ÷“xpóó±÷‡·˜]xžù¬þ¤.ÐuOïT%¿݇]ûøíUïZÏà?[¿+þ_éžgñ¿x…<ô·8M^%ˆûÚáj÷™—Ç>$¯ÄÇûö­o¸^Üó·OpüÓÆuçÛYùAüy7__ôwûIàµÄ <³ù¾çÊWºÎjñ€¿Éÿ]ÿØýy¶¯eñqøàÍGùÖðœÃú«·ÓÇòBâoò’Çû ÆA¿Í»váJza~è?}*¿BʇŠ»áe‡‹boò’ÇzÕÄ÷í‡Y{r¿ñ†§´þ¾ë>ûå·÷}˜Åó*®ë_x£Î»÷ÿV—‹ŸS?˜¼wë–Ë“{®þÓ·òÐƯâ<~@<€Kéƒþ»ÿÆÙ}Þ¶ÎWûô†?«žyð’Žô4xpuõOã&ÿà¸Ç>Œ©£µ^üxO+uí3nžåÝÁÍ[WDÞôÎóõ³øðͯGîó³ÎÏÞ—ðÉ7ËO.?Ößàåõ·ü ž1uª­¨œë?´“ü󱞜Ÿåw‹+égÞ[/5¾“çÖEÞùÞ›9}üöîß:ËûýñÞë´çx×mŸIü&è>íáCáXýñ?œèèzÏÓï{žö¿}ÑïÇú±ð9ó‡áÝ—ïdgÙwëž›8óxO'õÝ¿‡L¿Íëµÿ)~kÏ)î /²8Æ>¢—“½ºþZǶzÿ]þ18±ûíÕÿ=¾û®‘Ãö‰4쟅WÝ÷ûð“ÆÉ?êûm¾¾ä£’‡yNY~ØçÇÏÞƒSë7ùgì©û1>ÞscßðŠy¹û·¬x$8Ìw5‡/’ W%Oßû*åÝ×øIÞÎS?x¼/G.Áý[ï˜ãÖA„zÔ½û{xÁùs¿w±+q;ù‰|~ìúÏǾyì|<7|ʧâ[Gzyý^ÃÿÁG«s·½êÛÍÓêÔpÞýÿø~#ÜWÇÿ­NÞë´s¿è:uô]g„+õ×ÿŽmî„'Øaùعuÿýž#=þHoüßø^áôjï»è?BŠù‹à¾íS¾¦ë„VwŒ}¯žÙx<¦õáÇþ‰ü€q{žqÄß²—*»ouÚ‘ç‹/ü|ÿ·|Îúõ%þÄ8Ã7-~¿å}ÅYåWZO‚{ÕËñ‰ƒñãóËøD×›Ïë_÷)¿Ö8ê<¼ýHÍ»£y¿vª¼ñÍ«_âß#»ûðÔ{~púü-ý§ÇCßoöÞêK|›˜GÏ!Çàâõ‡=°¯ÄŸùþáüýï÷ÊöÞ/>þŽìä'òöœàϾ=Þ$~oú’:Üü óÄñéwóexˆ½=¾gT>Ðü;7¯ü‹ûŒ#~¯¸®ø­ûÂëÇÖ{¿àºÖu–‡›ïÔ§¿‰ÏÛ_|c«Ýøö½ØòôÅCæ%uÏí÷Ån+yàÆMôÇuü%;¸ëªáÕ­Ï0iwxžsù§_ðhôbò¿Z?Ôñ†Ý¸Þ<7v=éã;Éwß /ºï—/z‰›ÃûžgÞàF×—çjþ¯=ñ­öÞéQßjýÁïâ+ûùùþ/ùãþðÿþ®þüÇëÿêÜøÃÓ·Õ±ïzû÷ü\ç;<ÚµoåáÅkoxþƒáÑkç›ÔÓ·>y÷©ÛﾓÃã}#ýÆkÞùÖažþñæg|ëÉÓ{ì[GzÏ[}.¿qo\úýÔ×mÀÍþ÷¿kçú·u°Á÷û^(ù†ÿuÿ‡û¿ß÷ì~ð}Oëñx¿¿ñÄÆKNž‹¯6þ“óÖã^»ýp¿ñlÿ,çñ¿óŸì}%ûKýé~ñƒý‡WN…å£Ú»ñÌð‹ìº¼†ëýo¼â-¿éw~L|ágýî¹åõ\O^âIósòçÉ!qbq/<ÉŸ§ëú\Çê§ëɧ¼oý­þÀoåé\W\ ‘o½Õ%´{×}²nŠ?&g׋þ'wuSyXø±æ5¼ž|£<ÿcý€¸Ñ¸X=H¼z¬ÏŸ¢oËãñb~ožOÏʃ‡ÿù)¸¯u˜ÍKy^q”^½ÅKþ¾Ó÷‘¾ýÅ.ÆÐg~ÅýðRð_ßãÝ8‚ã~Œ^Œ7ƒgØcò±í7Hïå¥ÅY~Ï:ƒáOúXœî÷ø“å%‘÷ã»Å·ÎÃ÷4ß/|ýøHü¦cò‚O\_?¶~™¿Ö—ü÷ÃÕË‹ÅóžeüLüÎÇà<âÞß ßâÂð£ûþUñKyåðêÍöïþ1qiûÆÒSúË>Çu¿åǺGúÍNb_}?cï {.ÿ §œ<Æßý?ÆÏ<Ö§»¾qU¿2oø‡îßüö}™Ç> îK|©ŸØ{Á…¯û?dÜü¿ÎÏ‘/ÿñ†Ûô—r]î݇´ñ>ý\ÜŠ"ÿOâXpîô|ÉݸË{ÞýÖ™?ürýoüþxX¿ÃÙᶮ£z!>≬Û#'ýÏ’¿4ïî̽áÌ#9Çï=êè#kò3ú¯†cõ—ÿbgñ#ý÷cý¡~À‰÷ý2¿³ßúóÄž¬ÛL=©ë*ÖNñ#=Lýäa7ôÓïô$u¢éKä»<2øPžÑõC\¾qûf‰?÷?¼;ÿ‘|¤õËÇ~úInÎõžu\ùíŸ|ºs~~ùù‹‹÷ÜŸõÛ|znê[÷íùô1ýÜü&nì¹ñ›[ç—<µ8³<ÐÇÈoß3 O÷_NÎü,¼×¸CêÕñ¿Ë·ã?±_rƒø8?<|ùŸ2ïïh}$ÿ;ÿÈâóù/|â=ÞÂW~w×áww<=úžƒãð¬îËâQáUÿ;w¿~h·÷kß¹vNNû_{wö6?æ™?dßÍ_ø-ñØu윿J¼øo^éYx±ù3ñY?“<ö1o¾$΄·{¬•WÇ_ì=äéãý?<»qWøÍð}¯éü‘üw¼¨ñÁ;åáȱùZx‘­GŠ_ìºçò¿?ÆÌoÜ}:þª^зÈs<ÁÝLwþR=7´KŸõ#u´Ç¾Ð'uéé39Y·zÖáO¶®6u€ÅÁ®ÃH\Þ:kòŒ½=Þß(^ñœÚ·~Þõóâ‚y&OÏÓnyAú=~ìO–þ?øuóÂ_뇸@^Æ[¾ò¦Ú7Øy‘SêùãÌ:{âÜòÙÔö=öNŽ×?ßáÙwA‚ì9?¢~;À›úÝù¾ûžýñ~XóïâÑæüÿýÿ=¼ž:Éž'nç·N{ê{ܺ ~ý3´ã>í›oóéºðÁË›ÜoZ÷?9'ïÜþÇæ¿úˆÿÆ;Ð7í‹W‰]ïc]aë~ô¬ûXõ˜úXë ›_Çð8ÒºŠq¸Žß® ¹xJ?øz)ÞÓƒ»^>²|…'ÇðËWáFyí ¯4^ ~þúîîÛ¾¡øFõé““ßÇgÂs׿?á­7À'Âðžûá>íø/ª½ð’ûÏYþÒ¹þ&ž ¯•ï¢Wá%øùJ¿ñðKå1øqVûô¾5OdÿÑÃåÞ£]z½™ß WâRý¾ßÅ…ònô3¼ÉúYü{y¬ÏÕßâ~7ñ¥ë§ßm¦ïìÍ<©£Æ?¼½w·ç\»Ýïq~™\îwë¯øÓ·½gƒ_»çÙ×gÏ«‘oˆ¿®ï<ŠÿüNæ÷ñ^Aø™Çûá[^¿Çîþø·ñ“wÝÞkß3|—8¢Žåû–ó×p7}ñ»x^nuÅÆ qÖ|'ÏžÈ!z;;¥gäí÷ðП²Ž`ùÓ=ïcã[ã>¹ÅÏÿXAžÅÛÆç9ê”®k<£oü»svÕv®¿¯ß›m}8y×ò9rßîü¯ çˆÇ©ÏÀKãe‚[»^úvœ:j߇ïþôÝ—«þü±.»8Òü’OxˆÇ¾*ü²çð7žOßÍCäºõèähÙüø-ÞåºÙ÷Éyû¨…¯žŸä/ROé÷‹ï•%Ÿ~¼ÔüŒÿòœæ©å'oçÇâ[’'•gj¿·†þßóâùéõÏâü½y¼¿šqOoÍwíúM_Ä·Èk¼|ßÁ‡åïú­7½v·Îïyý®ÿö{MÝá±_Ë oõ‘‹£æ£ø|ùÉði³zïºß}ÁûÆ·õ—ô€þÈ«‚O7ÎÆ#q?5Ïá½»¯á÷7ä!oOÊŽøsãfÏá¶Fø~·„žêçÖk¿øÈ¿…¯èú–ÇwåŠÙ'üÞaóß©ÑÿèùòÊò(æ—ŸÏ_’â·„<Å[ýsÄs7>Þ{ üØ7Ïüñâƒ8¼çnÝá=§uä½—|8< w^û;ªK»Îó´ãÜÿ­këOpᮃƒ[ïvt}üÉcŸÜð/ÝÏìÇȵë¸V¯M>3^£vã9úÅþÚ;ö|~Š½Ó‹àÆñJâIòÓî'5=—Ï‹¿ÁÍ÷ämä'®³ŸÖ ÂçüÔõqñÛã©ÈË8àÆðwÕŽíOëÆá¶Îœù+r¹ú±qò{Ú9ùŒÿá—Œ3qsú–ºBë,Ë[ºž.jýOâ/è'{Ðÿø0^¯8=øýñ^SòëG¼K=æñž½$‡æž÷²Žoû]—§ nx|_^§7úC~á5öÏäõµƒÍsùÝð€ýîã=kòð»8T»hž×|¾]༹|.O¢¿å=õ/þ¯ë˜áûÕ×ßúâpjò»­ˆü[ﾫê²ìwö ‡{.&ùÀòäö'õ ûˆXÏPÞhö‰§_±õÉå§Ù³£ÿµOïÙ5ù…o(<>¶¸­ëFNÞ[g‡‡Æ¤ÎñØ7¸üfë#ì üA¿ïÒý6øÕ­‹¸ë­ïÂ{Xÿ=¿V¼˜8÷X7]ù„¿ä7º^qñ–¿’ñ7ô/õì~÷zëM“7þrí8®niñ¡õ4zÛ:{ç_á'v‹?„á.8ôq^ñZqvÜßÿ÷¹ð£çû¿øR;ퟣöÜŸü|ëUù=r!wv\Ò®KÞ¾{Á«‡ú=|øcÿMzK_=O¿ù ù}s}x¢ÙKxÈ×¼OÞO^ìüäå=ŠÉ³8YœJÝ£ïÃ/~cø¤åŸ~7~òä×ÄCvݼ9ø©ûÝt×ëž/Ni×zÇáÆäáø£í#Æ_ò§ÍsÙsòåÍKóùòƒŽäÂÒç𭼉\ÉY;æG¿Ì+» Ú> ð=5Oüºx­?­gÑûúåØÏxÏð\³G¼Uñaq‡8}ýúHäûæ1<+¾fx >¨Ý<>±—ò¡ìU;æ9úñà=ÈAœ).Mt~&|áÆß<'8n߯6¿îoþižµã®…è Üâyì²ü·xßz|aœ~ç/ñ_p ¿‚ÿ!ïÔQ»ŽÉ¸ÉÝû©ÞWü8ùÑ·ð€]_¢ÿó7.ó²øoè…ßáØä™÷=O?É‹~…§ê{Kóì;ÏýÒrd?á'ë_ÝÇnùQq,~çããSx•¾ÿÖõh[O$.é—ßõ›?l2oü"½e‡üSâ ?³ý»Ã/õ½ûò8?Õà‡ã‡7oáV —чOê{Æ•ø3|—'öÜuøHü¢vnÜöKÚuá·^ÓïÚ/ÿèèú7œi<Á»ß:ž\1¿Íè1»§ßì3u’_´ÏÒþ®qÒ|˜GGx…ÿcÿü;=ÓþßNݪû]¤çâ—<ƒž%ÎN^áo[_[\ГÛÇðqÃmô_Üký,yÏÖ&®Â·Ã)æ‹_cGá}ºŸyÀîKùX—*þñ/õCÁ‰{Ùïú w’CpÜðŠy1^øÄýüaqøÍóÞ{‡Oàšòãäãþœ«+v]¶¸úçÄÝùÛàøù-ý¨]¹®ëÄ)¼|›¼îú­g _²÷5Í“qëç$Ÿï{ õ²åØýý¾õÖä€OK~µz&¿Ä¾×7¿©Wô;C+ýîíò4í’Cë+®Ë8þ½Zžãî þjýk~4~½ïûþÔ¸~kúà>zhÜæ[ü÷òŠûÿÓÍËxX~áäû©¸O¼NÞ2¼Ù<„·ÞázúLná÷fŸâ¹qù¿u•àŒÇ~ì® ²ñ¸ßs\_fü÷vô§ën~àÓåÃì‚È[ÒÿÇ>›êAüEëáÙ·Ë?ò·ú#nh¿vn<ü»¥ÿá%ßA˺…Ígü™|m~Æ<è/»—ßñ[®£Gòi~‹½Ñûäïã¯~ŒV×øýd?á‡û‰±[çÏü§öÄW|»ñ&ÿë:éG=JÂÏO“WÆñà=O?ÄÍ>k_ú[þ¸u(ã—Ä/þêô¥ë÷ž þƒá>üã=ÿñþµ#œ ž>iüᵳ߯ŸÞ·±Ñ·×G¸žÝ~G×Þw''ûQv}ãÖ‹³#ò,î+¯AoÍgëUæûúùIœiÎ|Þ¸ñÉÖ{¯uù-ûHþ°üê:[‡þïñ^gëŽáæÇË÷±Kø¯õõòEâ9û½uŽôs8.qcqÁÏçÉÿ“çyNù™ÜÿØÌsÌwxÒù3qø~·ÿ1{gçÃAáEVgI±}–ø½ú1qø~·. ¾¢GãmÈ“¿v߇O*Ï3\DÔ·Zÿ Oñ—꽸Já¥H\¼ôÜ佦wœÁ©ÍçàH~O£Ž žioO_k‡Å×pRðõò8š<šâÏ‚/ß“75¯œ]×?GÀ'ï³°7z}Gx||²y$Gzÿ1þ– >›ßu}Á#óë}^ý$;`'pË]‡ŽÏnž>°gr‚3ô«Gr•ÿ‡gzØ\Û:*\¡ÿìˆcñï[ïßz½£þÁ“æ‡üÌ'=mÝ_lý5üòæ±x^¿Ùwê1Þ¿í¾Áïy„\^h~õ+v1n^ù»ð(«SÓkr—¯=߃W/à r7å%ZÓ_ü‰súE>wTîÃ7ª#ãùà¸×Þ«>Ü>ç÷ûÞŸ'sŸ÷ÃÇ[â?Ãs®=¸×ñüàð­ëz?ì8ôäŽ÷üN»p29øýôyíßuýŽ½ó½×¤äëùä“öÝ·#¼ì9p¾ñÃÏ7¿{Ï}8RþÔü=çó·å‹øv –‡å?ØgêTÝoÿÇäO‹çY/°#×™_òÒoçÁC[ß<úÈOÅ!ó Æïwýëp—¸Åo…?^¤·ô£ü¯~5¿ Çôö-îÀËü6½&G÷gí#¹Þó—ö {Íün}KçŸÑcþ½ü{0o™/ëQ†/»'¼D÷Ó^)–çð<ó¨¿ÁÓåÕ—Ÿðð4œëÜýô—^©W”ÿ¾ß~Ø|©ã9'ÏæãðžöñŠøªûûNÓý&r.Ìî<ß<%ï~pÕü¦ùÒŸê!Ü™yšß"wóGÎÚá/õ—\ZÏeoåç2?µ×å=Åwü¹Å ÷ˆ#ô)ùþò^í—wL=»ß_Þ{^òò Ï×ý`V׸súÂÏ­îw¦ýáÕð—KÏÍ·z«öä»â`y ~-¼øCÞâsê?{.Þ„gy]ì|óG‹‡Æ«}¸ùÆ7Óñþ/Ï9œ—ºÿÚ]ýôÆýx×µëþëçpèÉ÷žŽ×_ý>Þ÷/ƒ—}Om>·x"ÎðKáƒ6/ô)yóøËðZÓúwíý¢n™|¼þ¨ëêg7üØK^·5~ŒŸ‹Ý—ÒSòbÇü4G¿ø9ú /¿öû Ó{øñžû¼›úøâŒãÉçü’|a~îú£Ý¬Ç(I¾»ïÎÁ³ðGùùðã÷…࣌sï/šGÏgïô!¸üñ^oy%ãŠm>Òý™ÆÓ¼øÝ×ýüšxžçø=ú<¼@ïÒÿÖ¹?òëæƒÞ“cîŸÜ‚'&wvìH_ÄéÔ)–W4>4žÓwþC¦ŸäÊ/hW¿ôžÐþÞïâMë»É?ûÝ—}¯Ì¼vÞȾ­~ÀÇ'öôøŽ6ü|ö3»1Oâ¿Æ±—kwß—Ý<‘·yˆ?\ˆ½V¯ßü™í†Oè÷ÈÚÞÏ×?ëKïÅ“#ì~ý¦ðÇ]'®àý–_ðü=ƒày×›‡ûß{€Cª÷úežø+qþìz ~¼ðµ©MþxÝä¹ó¯âàÉwû”ûÝõìžž„Ožÿ¡ßå’î}[~‰ÞfÝÔx„Ôó6¿ü²øKß­÷!×é·xQ~_|'Wò _úa~é‘xœ!þ­N ÿ!‡»î5ïßâïàÄâÉçŽðüˆO¼ß¼gyÓò¤xNçåOµ{óõØ¿]ûŽ®÷<çâ„yk~Y<•x¿õ"p½3ßÁ ;ò#ô,yLß+ݾ]‡¯GØûÁW…G\|å÷ùIúm¼ì_< ¯³x—8мxz—¼U>ù ^Éýâ~ÐÓäiãuŠ«Â£îzq&<äø vp~åQw#Gþ*8ù}ò¼ÖÑÕ]‚#O£‡Ëù~Dÿù©ð‰ýÞÑø zXœEôÛx2›oþ5~~~ˆ=èðêê˜áÆëè·|Ãü°+÷%¿?‘8<¼ø1q§ïClÝŒù!vÞõôè…?^¤¿žg¼É¿¼ÿ@åõ«²#8.ûç©‹ÿÏþìw÷ÃŇ­“zŽãÉ}xðä÷x?Þýú¥ý<9ýÆ{°ÃÔ˺ïÁòÈû¿<ÔüLò1öïî=~‚aoìÐQ /ô$ùÁÞç ±}]èœü~¿³¸6ùÐü ÿNO¿øÅõÆ9}Ìó§á@òàÕà‘ÏÈÿð×p¿uyŸçˆgü÷µ¿º xH¾ìœÜ‚‡/á&ó!ÎD®Ž_Û:Úòf'‡íËS¹'¯ý1ø®ûu®ÿóWú)®š'Ïaæ3<úø&~Ôuæ¡ë(ŒËuüz×+°/óÜ8!¼Êú™çlÆiÜâÿ®ßååÉNq=œ®ß÷ÿ§ð¢ÝÇbë ôC?á ~žÒ=s]êý^Áð/½3þ©öIžüPâïìO¾×|DÓsÝg^Ì;½ 6¿`¾ÈËuüRxÞÅËÓ‡Oæ‹þ{žcò½ù»æÿìÜqëÏáZþ¸<Ž<‡½ùmÝ`ñ yìò;úÏ_Ýù§àRëÏØÙÏü¿Goù×Ô†³ož~Ægz.{ Oð¨ožœ<¿8zø:ò^?äÅ©äÆO8§<Àx[׋Ï.nºÎøÒßå»øäå‹›ô+uû׸FÙKò˜ÉŸ_Ôó_õyŽ8Gï¹oß-Ü>tâŒþ%Ùz‡ä/Ýö§øÅù_þÚuå¥Â¬Á)uÏž/nð×âý+?'n˜/þˆ\ÍKë[úMÞô!üácÿoÇä%§ý®Dó¾}÷^ȺŒåww¾÷µð%É«w|Îïû?òXúAޭdz·àŽ®ã—ô ¾¸£÷Òº¯ˆïÄþL¿êOùQGþIéç7n˜w~.ÿGþÚ3?ɺ/ýÖ—˜ÇÇÏñsÖ5ʇV' ®\ݾcgÆ GÒ³»~rò\ã”O„x¬5þëß¾okÜæ#¼îò#úá¹áçZ—˜]™·ðÔÃiŽâ}ãgÈÓ<ãùéµùjÜøÙ‰~š—Ô+ù>AÕßðÉã•ïþŽ;y8yZ¿øáÆç¸ëáC8OXœç×ß=¾Wî.½yVﾞ{ŸîtÔ¾çÃ[äj8]™Oö)¿ ìúŠÙ©yLÞ·úþ0üõxNÏ¥÷â„xh>é¡çðò°Æ¹Ä‹Ç÷cÙ/I¿Ãc=pùº/õ®Ö_G]W¿h^n¼ÃæÞóü\žmvÀ>îùæsöÚüÐ<ˆoì5ñrñÃ<;<>f¼…q_ŽGãÔ«-Ñ—ð(ãgõøõ›>‹Ÿø1ýÉ‘¿þ™ÞòïúÅ.ÂGÌÿÅ_²?÷Á7‰Ë«‹‘3»£â8?ÛïÌ.›'Ñ'òw^ÜD¿]Ç^é){§+r¹þÀ'Õ÷ÕÑà<øÕõ‘×x zl¾ËŠ›Á]›Ÿæű·å›ò!þÑ9yÐûà(y„ïÓ,/6oÉ×—gÜ||Šš>’Ÿù…GÉ_à~ú“¼jõ(¿Ó8—ŸN»}và\yàÖuE/ë·Ï\vý÷ÌÞs9¹<¾/ ï]­³|ì»~òÂ7~ç9p¨#ÜêÿŸï,ìwÇâV¸S;Á™ãgÈÛ‘½ógüœ¼øÁïÜx©¿aWÉæ?ù1ó?Ä_Œÿç7Ù=H;ºNzûáÒK¼!ý§gäƒè/½/ß _òöðÃëŽßƒgÔcŒ‡_Âg½åw¾ý¨îyÖÅOn©Ç<Þã'§â;óžvþNÝØuôž$7ó /›_×;'ßÖÙ¢—ã³ð p2”¼yzfœÆ'oŸ½8fÜü¹Â)ú'Ï/Ëšó‹Ï`ÆGÿÿäcÿ°æM³oúÕúUpäò ÷±kþT½ÿplü!7óÌ/“¿þë'ýŸ˜ŸÚ±ûɾ ¿S^uëàün|ÎÍ«ûÛÏ%óIŽÅËø"ñ ïÁŸÀ©æd½ÏO±¿­Ó£¯î×.û¦'øÁï-=ø¤ðzypÿøSó—ü¢ëëˆÌ§8yY¿èIê‘p¯÷iuRù„ûÃó–ßüÁ“ž¾xGzIΞŸõ<Ë[à'ó‹ð{q`ò_ò5žœÿ¿ð‡Á?ÅK¿Ó|B¿ZïágéûÔõ®=|íÖ;§öÃuý¿÷÷Sä÷X§K.â·ëÈG]ƒ|ƒ§gïâµñˆÇüyšwúÃîáÃòzpe7_ÞÃùöäÚ}Ô·_§ßµëw÷Á«Îoþ¶ÿ’ãéÏêê×Þo<;o?é?EÏÌ/ÿ™|ü1ø‘ø•ù#zâØIpÎÖ%ÀYžËÎèaó ~ô®[^Aøþ$|Më~á_kÚ/oÃÏÒOrºvº5{›^ßï?{^x²Õ1ðVø¹ð3å#º_ä§ø¡?<ÈìU<3¿x¸Â¸Íƒy&í{.¼É_‹Ïì]w} },>»vð?ÅOX×ÿȇÈ^ˆ®Ã;Óƒ´»ü¼x‡Þ™¯Ô…ï’»8 g„ç›üÊ+û=~oþMÂï«·¹ÿÆŸo™ü†<ŒÇóäæ•>™_ñA?ËËŠKpšçÐq"Ïé{{ŸPþ#>ùÒWÇú™àÅÖ öýLÞ¼:ƒyæ_ÃÏ4[ü£—ä¤ô‡ß¼ô{ÕÃ#äÊ_/ùuÞù}Gx ž¹þý?4=ƒK¦·ôÂÿîwv2þǾíì4~æ/•SøòñìØ8Ã'þ»¬|çÃs‹oÃ/wŸƒ=ÇüÑ7|Áµ÷Ia¾’Ío°[ù4žvõGúÇn3þKž2¼J¯ƒÓg/æ“7,þÐ×äA‹ÿô¤|sðÃÇø³òŸBŸÅMùiøÿ¾_8¾ÞÑüyÎé×ðÖ=wü"~îÃKÚ‡sû ]{ã'ñŽ÷üñ›®¿vw½ûo\«ƒ÷躶ï¾é3Þ†<ÙmxÄÙ{ð…¸BÏÞÖCòcæÝþã!Ù }2¿‰_ã…ø þ:ëSVåGÍãª8EŸÝÇÎägüsþH]Ëýô‹¼=y\¨_á±ÆçÊÏÝOÏÍ_ì{ŸóñÅx2oËóàÇð³Ös>pÂÇ{ºìrý!w~G«._\3-O¯¸ù¡'⇼€Ó‹òTô:~¹¼Äø=GzË_›Oþ-¸eý'ÂÇv¿¿ÅEãmÞþo¼©8c^Í»yÓžyM½az£¿žKOͯøâ(¿Êsöþ 9‰;ÁçŽûPî{|_ ¼D÷?Ü<Ǿç'ȃ¼rÝìÙ¸‚O÷~9;¼N÷;Yü'ïòÉW†§Ã»ÏŽƒoçßà rHÜ,?ºù)þä_õï®ûDoÄuõ’ð“Ëó’'m= üd~S‡ÿ)øh8¤ñ†¿4_ø³Ö­›WÆŸ<Ö ÀOê*òXúrÏû3{ѾöÈ'¼$ù3ž!u‘ê¾â8KßÊ÷Âûòuaçæ•üSXý¾Ôû»ñ7ågñ!ü;œÁÅóËÞîwû>Mïè7ý4¯ìo¾{ýüYÜq$Ÿæë©ç®ÞÉRà7ÿ?^ï½8‡ãà¶]_\éè~<åõ{|"¯è×ã?¯?»oÙëýr´ÏÑð= ß4?ë7ÌSñ»'gþƒ¿ÅÔO†›ØKxóGý8ùÁ¾[bþc_«ÃÑÇä…»>ñdzÆOFËÛNßÿu&y'ÿ#®D¯»þ§õÔ‰¿ïtÃýõ Æç¨_Æ׺ÿa>øGíê·ñø_?´Çß'ÞÌŸûÝ8b§['ÏÏf>¶ÞN¢ÿ­3†7zðïød~ÕsèMxÏÍsù(~“ŸLÝê!ýHü›}Òr¸£ý§f¿ìÖ±ùLâ¼:¹±kþž§ym>Boõ‡^8g¯â»£—ðù—’oñPâýìØxÍ{w”Ï¥Zžqq…<å5á‰7ßÆC>ð‰yߌÏ}Îá>~T»uóÖ˜§è;ýxäÙòNíÐGó¤?ñ¿«O¥Ãïô"ùìæ‘<Œ¿úo¼å¹õ“¾Åuÿ¶­Ç)~¦—Žñ?Óóž|ûz–7ÇãâØOƳ÷OÍ'{láHO#×¾ç´ú‘8Ã_ˆ3áçv\¹¤ž0>2ü¤8³ý}Â㬾f¾éAðy÷}û™~’CxÍÕÙõ×ø"Ïɇ¼Üï¹á/çOš7º_»ê€x½òxð%¾ìïŧ7¾Ïí{Bêåðé[çøÍÉÍÑwzvÿµÿmŸ÷wŸó­Ï<}…‹áÒ¾î;–ûNÐ{ó»ç_ð­~o_#8¯K¾7¯ÞwÚ÷~üÏÙ‘´{ãßûIæÇÿúÁŽÙ‰8Å.Êñ phâÕøþŒžñWüÞÉË{.óóò4ø„¡÷ò+þ7¼àü&àGñaâ†óòüÿÍþ´¿°ïØóƒâ'96žñ«ü?O4¾¥þµñ“¹— f}DyÂùçÄ¥~'°ûûΑ—þ'þ/_2?âyЧýßø’uãM‡–¿¤g“/½K¼ž ÿºü†üʼnð—ýÉ[—ümöÅo‡3Ïô–É®/N1ó­?áYöÝÇþN?ä)ú}Ïo¯?ò–æwáÿïÈS>­ŸÎÅÕÔ)W—=OûäBµ“þ>¾ ®:–ò|Ï1¯ü€ëåYÅ×xµÌçð»‘ßÀ…âzó¯“×/žwr€?¦ÇÉŸû^ÔãýHø‘…7{Ôµ£ÞK_¯»ºG/¦ÏÎå žû|Ô›ë…Ï[}NÂó?ö[àï·ŒC;ìÑuä–ø¼º9ÿ%¾§>ðàûŃæwðCäFo÷½åòÍ?ùkãæÉýΆô/|ëäß<;çc“#¯ŸåsïºÕïO®}¯h8®¿»Þÿ÷»ï¢?Þ;¿ãö;‚ƒµçúëŸýãÿß|gzÿéuäþiõsx‘ÿ ÏÝõŒ«/¹¾¼‰£çh_œ¾~—‰SìØ1¸p~Š_ Íïä£ì^ã®Ý­#b÷üÑôÍüâíÄ)v`Á%³³Äë½ïÃ^ƒ#»ßÌŽyþêâ켜8ù4ßj}Á¼oâÊükìdý¢OÉïÆ[ÜsöݸX¾kÑóò¤{ï5ÞÖ‡’ïü”øÛ}»ò''8—þá‡à:ã/È'¸}z\Ü}`w?ÀwÍSùCþX?«çì3¼Ðò(ú²ýø9qJž¥NÚüUÝû® ¯ºï”ß¼ì÷âLçÅ™ÎáÍÿiÞÉO¿=7ryì7L/æGô7|Ðð6¼Áo³Oý|ãYËÜ8¶Žˆ|'ømý/¾g_Á­«k‡<׃Wö^AÏïŽo(ýý—uµù_þ²u\ñŽ_ïÌßÌjOEžÁ)uðµ§ÆGóOnáÏV/ Ÿâ‚ç±3þ¯yù„ï÷q>Æìùô–?Qo£xö¾ïñNz¢žǵN°{óE¯è¿h¼æ©<»7_âÓ<ÁK¼˜žòÛ/¼äêÆpXùH¿ßõ«ßülÝçõ{ç'Ÿ½·îÿ;§j¾U‡ÇW^ÿÕµí#ÛtßǼþY/úà×ñXðý…{ø'yùó_äžÒ÷gæïÂ'~¬¡­#xNñló0¸R¿õ‹ýÁ-pVy˜ÖØ3ý¦‡ú[§ÿêvôŽ¾ó{ìNܹþ,/ö¿yÐãÖ/þ8þpþ…=–Rop]â±øðCx¦­çÓ®yr3;ãWŠ§=Ÿ<ƒ?Oêô3ñcã€÷ôÃ|š~”¼ù·æYá·ï8ãnœ…ëøùàˆùµäCÃ3æÓx2Îñ=᦯ôÃøC?ÎOnÝš~$Ï|¼Wñïwó"þŠ›ÑGyÌŸ£wÓÛæKìÈÿx=ü½Ó¯ä}yû°Ä¶þ»øqãïz‡Å[~?2¿ñG[Cú!î¿ÒÇðÝõOú(ñWîwô;½jÞÈþÙMüsËÛç?ÆＧ ¾iõrùšù6?ì£øÞ<’gë7îw¤מvMoô3ù¹©—oÝþcìû§èáƼ;þ†_¨?d_×Îöù€á2| Ñ9¼xýì{>[oéÿÿ77¿ßž=|sóòÍõ{Ç»ëEï÷ïn<[§é\¿áHx_yã~ßóŸì8üÖæ×|–?‚ãoæÇâWªþŠ_ô)uàáñž¾Ñ‡“Ͼ?oé­cꦿè½.Nàgà²ä÷ôyüŠ8g]ÇöÙã?È›‚3N}¯‡} n^þ#ŽñC±;ùæüºq¦î8ÿšñ=¾G ðGúÅþâ¿¿Är¯ÿ6úG.üŸçº/üñÖ{“Cð´}ÿøKyôÍ×ðŽëàzÏ#ã)¯\~QÿÈ‘_e/åmÄÁøÅÕçø¿äCûŸŸëõçþ_;pryëÄõǾšâ—xKßÈ‹¾™_×™/xO;úÇ.®½í›g>Éå¹]ßõsõ«8G¿Ì{ìfýu?Þ‡=»^œ¤çá†Où;ãfïpüNÅ}óO›~NzìïÁþ“ wznô¯û%uŸ¬ÕYÄþÖuâIêå‘–—óÓáï%’«ñÆ—žìkÚ}mïˉWáK'—àÔéKøÚå÷ôÝ–_l¾%¾ó;ŽåAù‡ø‰îG9¿™zR÷õXœÒ^óƒæ•Í/Ù§ùò¼âqv™ºÐÖ‰«gó žK~®«}ÊGƒ‡–ï‡çXÝþºÿ÷:óÆ¿£ßñ‡êÑwßös‡÷®ûÝñƱ:8¼ª_øÊ›×Úq=< ‡â%o¼«{·ÞÈnÙ½ßáóG%>>òà´»y6×Î/‰{øÂÕa=žŠÝ,Ò'ãâ]ÏžøKã`¯×ï­‡H}üSy=ñM;ô_«Яòwð¹öãogçÁó?Å>÷^ƒ~eÜüã~"ëWuìøÃáÿà×ávx²|iøÍÕøÿ<§ë*^Ñq?¦Ÿ©³,o¦×ôìŽûnœßSoNsÿõÿ~“=Ðwþè®®|¯uäøÁõ‹ÉÏûMWÞÉö¯¶_^-¼ßòÁò؉ݧ üz÷WêúŒùóøÅñò´åIÂSv}Wëä¥ü@óúUøúä¿õq©ëô=èÕ Ù)¿ˆ ¿Óõ{¸øæúíû‚{ŽöØ?¼Ç$.<öƒ¢®ãå}úmx$öãwò׸$ãØúœðék¿|{ã©ßÓ¯ùþâæù×à#¼Où¼ñ“xG¸ÎSç¾çã¿;=†7Ç7ÞïãÕŸáNøÕugOÞgÿöÆ¡®¾÷×_¿ð©«¿ë§vØsüÖ‰wýîýòKú gGõû"}_bïÝ•¯)ï—±ÆIöžûm?¢‡Ÿô»þD_ú˜¼tëé'¼»__™üxòÕŽñ7o¾œ?ç_ƒ?ïô—ŸH~¿z5<×ò_â<»Ó¿È­û™xŸgø„?pL\)·þ'ÌþùƒÄ­éMñ9„o›ÿ O»ô¿çÚ/Ϭ}íz®ùw?»Á÷”ß ß?¿g>Üo>È%üýÇàƒíÇ%nÆŽö>upåæ1~xüaê³Góœv¶,½ƒ'Z÷*/éºæŸôJž,~ºŸ=hŸœ2ßâåÏx1ÿóOôôî÷žµï;.ï®\Í3<_ž%uˆùKã«×ßuþÉ“>…çÝww´½y¼ïÜṽç4olžœö»Ïâ§à£^?<ƒ oó¨î7Î<çcí5_êSþÝ4/_8}Ù~Má;ô—}×OuôþÁmä9Õèÿ¼õmòhqÂÿpiãIãÆïÙô[?ùñ¿y‘þj·üEõÆsÈI~,.Âõ“ìÖs=~·Î‘ø6?j\/øë\‰÷ëñÆ·s< ~Ðñú³ïS­'‡ñŒxJø/©®¿t¼qà-÷^| ×ÂÁ×û oÓø’]…žüèKêS‹»åé û 8œ)e¿æžy?§>ÄÏã ØeøéÇgß]K?»àï“®Þ<Öõ }¶¼ÄìL¾Lÿ[‡”¦N0¿™û7¿á·®Ï|‘ÇËqóÙ‡äéãùø%ò‚Ö®ù‚Cè\Áž]OÌAžþ¾¼ÖñÊ“cübã÷Oñ‹}cùµñ’}É8ø8~‹]ý\{,¯müOµ“å¹Ú\çÿä½ü\ÉÞÄqý!ŸÔË6Ÿúo|Õ7úázϧoÁ³r+® ?ñ¨ÏÐy}ºó_ø«Äá í²Oz ¯É:Í»~âÃÝ'þ˜/ãÖ>y_øþå潧ŽÑý›?Åïn½œy‚çËSS7ê~hŸòÜîg4=2ásß›…gÄ£ò'xPúHùƒòÓú¥½æÉû‡·zÄ:¿q<ŽxG8ïìöïàDGÿÛÚó<ížÜÖ®ëÛxU;®7ó o‰ßìþâ›÷±³ú»äž„£ÿæÑýâoñSìeχW’4î{·‹ÛüJxÇåwÚ‘çÐÃÔ)¶Î‰ý^&/úŸzÓêºÉ+‡{ô›=Êk‹sÉ%<ÀöA4>öÄ>ÿVwÀ+²K~C<¸öÖŽ£þ_òŒù9~ƒ]òwô‰œ:¾ò^æA~Ο&_^z.?—ºS¿W3\ 7d7.Ï£Á¡Ó;òq,ÿů&ƒwßs*0?ä<ƾ—/gyqÊsÄåäy?VïèAó$ùy°³ôG¸o§]xÒ¼Ýï¿výýðhýˆç‡oÜøÍ‹yr _Ý÷ÑŠCæ͇8Ô<§ÿ‹—áCÆòcæY\,Žiý^LþÐïo>ð#^°yxäôØX¿Ã¼^ûÞû~è8ÃS÷}ïîñÐÇàÞÍ#{ ^×¼ÖøNr/㿺_ÝÓÍÿ’Sã™~¦n3ÎL>ýx¯Û¸³>e~7<Ïð®qª[ò©?ôýœ®Ãêû]ß0?v㼯7œ¡­#Ñ—ðË3Å-z@¯ƒÿ§gü1¹h—Ð ¿‹³×}O28îõ{Å›xJ|`ïs¼q>ö‚+Ýó7\¨Þ,_ª=xöôfxR¿cG³7ÇÄõé½ydßÖAÀ_þç_’Ÿ•Ÿ7ù¿}ÿ~i^äz¥½òü&žíÆá}„åÓÁ5åñö>&½ ÞœŸ%öÉ”_%öLÎôÑxb×Ëãµ›ütþËø‹‚£àȽÆÿ¸.¸­û"t_ù¶ÍSêã'ãàèðM}HôÛïð~ê>ï‹Ñ óEäͯ´NçèÿäÝû_~ìDÞÁ¯åÚÏ­#âÇè={g»nPœdOä›8C_­>Âæ‹}òŸÆíú¬kZÐ<ß-Þ°'ÏgüLÖÌ‘'üÐ<Èxé‹øHß\_<õ…î¿ýX‡â(N²_×±3Ïç?µŸ8ÝuC³;öÎ_ËËÉ…<ƒËûþÿ£þíúÖÈU¿Ãï}êÆ_íó'ð(?åúòFúþ¥ßO^¿ý~íýìùÿñ˺eãå~÷\ÇÄÉáPxà~qÈ}©Kwß‚íspíÿœ¸6~.ñùQÄ/ッéOqê]¿uœì8¸wõóÀ^rÜüÑkú ß„úÔ¼†>‘—q§ng>¶?Dâìêô]_¡Ÿúœ´¼–>‘·ßÍWêŸóƒâ8{+Ï”|¡yÓxz¸îÕÌWßWzäaì«v•ºÓÑ×ÖÅ'ò~~Œý¶^µ÷¬ôÇxŒW;üMëjôÖsÙ{ _¬¿ì×s«OäÏ®’‡OžúÁžÂ‹Î¾=ÉOý’½f¸<þ¨c¦~ÿ±~¼ã«_©«tÿ¿Å¡ò<áEø‡ææ÷Íè }/ßJOù%ùûÉÏ<Â¥ÎÉ)~ÿØ:áÖK<Þ1~zæ®ø'ñ¼ÄíäO{?~„ß®ýׯáYøúžóÀoÁÇ}‰‹á>xÙnÔŽ#|¯8Óï®k;žÇnÅóûü1þjuz~Ÿ§ßê p¿$ þ[ü Ïá׆§ßèÇÖEË›[-ÏJÿémì`¿G_û½‹ñaÆÓ_v¿ù1þþ¡¯ì#zÞºÝpEìw¼y5ωWÃ[‰—›·ð‘ó+ü„z(žÄ<7ÖOšök¼ìŽoÉN€³Œ;uà­+/üž|¼ë1~ÊùâáÉÛ~±ý½ésä°ýÁÅqúÝú£~Ñûâ™Ä­§þœ¾°vë<~õ«=pRùÔØéâep®øßïv¯N>R±z%{KæÄÑÖ‘›ÿ‰Ûìï%>Ìï%ÿzÔKø9ÿóOúU½ë9¹ñò+Ï—w“‘u}ßeõðJÝOücüÔòãˆ^/?2/âµqÕÎéþÏýì‹>d]Äê_ѻቮ˺qï{Já››O÷{âŸ"·ùËúÏm\dÏÉ÷û>â£nCOË£vÜúwíüµçûݸ’§~JüÙûôÅu©—Ï_ÀkäA¾±‹òÄýîÀòóòOÍ‹ØQä¸÷Áè­q³‡Æ»èçÖYOÜÑþ[í9æ_;õgìúîÿžƒËÂko¸ÐýŽð[o¸P]ÞÑó´ïyøPëð¯xQ¼²þ>Ôuüy æ^³Oþ§ùˆùÂV¯èyó3æ‡?fwâïõgïeºî£7©W7ÿ./³¼*¸ëñ]<ö½\~¨ìžŒ_¾Ãß»ÞsÂû ç‡o^}/üÏøqÎKþÑïÿLOè{xŠå©·=ü?ÂÎø+óËÞè ¿üç=å®[>àwô“¿uù‘ùÃ9þ×>9¿8Ï_ñ£wý_2¯ÛŸÈøä‘'×á öC®‰÷5ù þnŽ6NwÿŠîôXÿA.Ú/ï½Y½vG>±ŸÙ»öÌ'ý„ÈßóÙ»ßÙGóöNè;?I^á%æGÍ_ž3çÈŸ˜_öh|¡cðþò¾ò>ÚI|œ>šOú!>Ô“ùúýäðÿ}||w¦ùAðöxä¡«‡Â‹ú>üSý8½$GíÃ]×NßÚ>í'Wßñ~ƒ#ñ•7«“ßu««ëßóWϾùÿîþÿpýݾ™wüöÆ·ý•Òîã;™Æ•ñ=ö“2üœæzõ'~°úoyxø™¿Ô~]ÏàÓò á‰v8£¿â}ÒñÓü—çg7áÉ—G韼žL>Yÿºx}ý´/E÷½Ü÷ ÅsòäWâ_øg|áÖï°+òaïÁï[ï¸ÝüpóKîì[üJ]æñýJq„?òó`žñ°îï8œGï´Ç_‡×^ÞD¿ø‹òÐÑ¿½_jÍÏÍ/{þ`ü9›wq-|Äã} ã5?ò¤¬#Øõâyº?<ë£iüì,qóñçìMÿÜçœ^èoþïù±ïLøÌåeÍKÅðµ›'z¿²8ê9gG?ÓsrÒ¿›?û«jï8ˆ~Ñy€ùÑÿøµÅCþ¥<`å~rÛþüÉ–—ñp£qVõ;~ç±®‡“gpÛÇú7íÜï?¿#¿™<¦ûuw_ñ}þ°Ãø«æóßòÉà˜êÕ/‰ë‡|>5þÄ¥åµæ/ú¸ù_©Oà_èAêˆëgxä~ߨ뵇+Å­»Îþ×Ëëر¸Ë®Ø›þ…Oš}¥Îöø~°öÝo|î£oá9?ÆÎú}—ÖÁ»þ¦ßgxäKô$<ÿÛ~«ƒ_»ö%êºÑá³ëßö':9Â}¯ëá?¸P;Ú×^Û¿ãÚó»þøßsÛß“C¿“é¾ùúD®ì‘ÜÍgøéÙ]õE|àï~þnù¹¸(®àÉù;8€?ÛôGéaônzê9žïwþCœÀOÐgGr`géö÷}#ñ¿(n ¯ûÐãħñ‚ì„\âßß}äÂó=êñüNù8ÿ§ßˋ︼ƒŸ4~þš>y¾û熟ùþôægñ2qµï9¯ÿÆÕzMpõü­þ‘ãõkß ‚'#ÇòÀý>MŸ7~Œ^Z?þvövÏë{C]¯»ørzè»Ó»#/óJæ%yfëc?ÞÁó~ ïò1~z¼€8¯=zCŽâ8¹}Šÿ.†;¢—cß}ϯuÙOÕÛú3íÑËð\]G`|ž»öhþø~ ö }òÔò§—ü=gçì”?I^Ôï <¾ aîúÏ?œŒCèUðÚÞ­}Ô_óÆŸzt¿¯4}âŸå§®3_Áýï]°Gý ¿ðÙ¼…‡\{äûÜwîÿ?»Î|´Ž¯]ãö¿y&Çä£ý~Îô…=“·öاx’¼~öÄ.Íc~ßw·Äuã£ü½rÎÎáÀâéò”å!ÙÍ=O^Ø}ܦ‡'¯ñ1ä“ÄÓóેœ“ßNÏà!ñ•Ÿ gô)|\ùæõ·öÝúŽøÅnÙ{á7ôžÇo÷…¿ƒ§}_sëé¥v\Ï÷½Ëá5y>¿lüpüv×ýŽI^ÿÈ‹å•þùøßî1¿øüØ_Jüñ{xÜÇ÷ÏÌ‹~¦^Øõ)“y‘7½ÐŽø‡¦åO¶ž4~iy½IÞ½ùh‡_Ñ/väþèQýïâ\ò˜­ÿ î˜ÿ÷ÜÇ^ùy~ŸÞ¸N|2ŽÌóðxy¸î§‡ôƼ™íÂÏâ9yû.Ÿ¸8»çâ¿ë×Üï9äœõ½„Sù9zܱ<®ù6ùÊÛá`ñž]ÈÃÅ]×›gv?Ù÷¾6ÆÉŸÐ÷Ÿyæ§ÂÏ®®,óŸÕ£âUÇú]òpN/ÉC}6¸|y0ožÙmò«õÜŒß<§ÿñÚæ_»­KyÎ?Èÿ`—Å{ò˜ØÙøÔÁWGgÆo^‚[º^¹ï§Œ_1ý ÊÛÆnë›Sÿ˜ÉK{ü§ùkî÷Ìßâ±óò^ÅÏ©¯l?<; _üFøòõƒÞÓŸð³s¸Úüààr ^Ú~'á¿ßxŸÍ¿üĸR'ß<ÓíŠâ^ô¤uÐïÞsyN묭Äßµî8;e—òƒäIëæ'þêQ'θgçå5ùYqZ>Ø8íùwÿç¿»þ’CøÕÇ~±ŽžCîåéÃg ‡·zîSü™ïº;Ö®g7®/ONØ-=¢ßô¡ñ ÑîéÃÏ©Ëüÿþøn§ù ‡ì:|BßÏûÿ4=%Où}¥?æC?á%vdÞÈ~%ïßûpì›?£GüŸ¼Öýô‹Þ³#ú}úÙøÉ>Î{Ôµ'Ï£OY×0ûמûÄvËžô‡þˆwÆ]¼#K=pþãž?ù„Ï2þÍÏÝ·}Šî¹{ßÛïðàµ;¼æxýßñä8~2øò¾Ðó´sóøœzò¶NsuóüߺûÖg:Þ}¾Sùx˜½ã]è‡ü&ó½:¦y'ÿðdÓ'óÎŽøsý/SGûØcâ çl]ZøÑÇ~ž{íüÌ.cgk·äå~çŽðœ~&¾–{|ÿ^Ë«Ä-ã0>øȼù¿|§ùá÷ȵõ;ùy3nýã×ø~Æð¤p³ç“›qòÓôÅ|À'åíø}ñ½x†þÜø6^q‡ž“+üfâ:¹_q¹#»Œž|Êïã!økÏ»yý¹Ï-ŽM\í>”Û_0ó:F®äÃï™7~'8û×Ì×/ñc]G7üšüíñ!~_ëàòní±ÓÖ!È]ówÚc§üæÝ¿º þÓ+×;z.y–Ïgô‹ý“Ç=×û˜øˆâ¯â¹éAìk8€y~ø‡Ö輪ü=ÑßÔÇŒÝ-.Ò÷äïœCŸ\GÎŽôƒþ§.Ö÷gº_d¿Ò}öþjxƒá@íµÈ/•Ç.Σ_ÉߦÏøJ8—ù=yÌÇÚ:Ey/~!üt×Ý¿j×ýæ5ùÁ¯ì"~^?Æß|?Üï«[Ÿ|áÄïòÿgâáEçžwú¾}-oÜßOvÔ¾s÷¥Ý­ß<ùö}¡ù ó%~àýé%üÞï9pX¿+²õ-ì1~éñ·ÖààŠ­3¡ç7þŸïy³+y¨y¦ßô®þ¨ùªq–×ä!É÷ñÅ#×ü4=¼qþ⹎ü±ñ‹ú/*?ÏNøvdœñƒã?Ø­ûë·Ø«ñÈož‡ëðÆÏÝÿ¾öïµè§ö‹#›‡’ùf÷å‹øïà¢Ç÷ÂÍù´âžàæÅ'ötv¸u‡Õ«»ÎwéÖ_ö"o×rtÎΊÏËÅošöÅÝ“Çæ9~võVóÏ^‹Cõ~òç­_·àœžÃæ6_ì:xíñþ¹šwÇòeâ¨yO9|Ú¼ÿE¾òËÖ»áÍÏöáåE™ÿÙ{pl¿óº}¡Ìƒ#½Lý¢ß5ùØq‰÷Å­9î=9þÇ8ù!z«ì.uxµëæÇê—à¿èMßoœ}àIø)r.¿˜u/?V¿7[ï\>{qBÜ€ÓĹðÍÝ7ä§Äí¾'÷à=+§ÔQû=–&Ïð½[ô‚s»>ó±¿ßùùð‚³»ð2;¾þóò¹Ö/Æk»/ë0¶ÏñK=}ëªÈ¡y>;JÞý'< žïž§ÎüxÏžó;ܘs¸ýîž¿º6|zã¶>s<¤ëü®>7ºÿúãºoÝŸ4>ò⧓¯þLÏø-r \>nëñO»>’=ý"ŸJ´<“šgúl>Ã?÷ûµ÷ðì4qóQÏK¾òØ×÷þÿ…ÿÒ^pÇã=“ð±¡ÿÁ—}uŒþqLü×–g™wvMþänžîü7r“_t^oÀµæmú!Ó'r ÿ4¾€ÿô;ý*JîìÞÿòŠðJ“9¤¾×ï<Íoã«’W=ø¤ØÏO‰‹Gás¶þ–üØ/•~Ð{¸ŸÜøcöÃÎ\Oþp›xKOé…øÌ”s̼o½'ùk½Ò?ý4Ü|µõ¦É“ú]¼Å½à†~¯d¸/ømùVqýhÆQ|ºçmݹvéOø–é/=ƒàÓðÓË'É?uýÖù»Ni<ªöô÷…÷Üwýøã ÿܺìüpðo׋n]—þÆOæü›ëŸïõ8ÿæÚùoyó¾s|¥ßáO¿ß¼ûÎï iwÏuŸçŸ|÷=!í_{«Ûßøü>~Ÿzr)Îì¾ìÛ—>½öï»Îùkü(|~ãüÓõÿѯӛ½_ä÷Ãÿw?\½}›NNàpúGZçÅaqíüÛ/ì“ß‹Ï~z;<^v¸Ö}áëö¾ªsø'¼gë/ãS𔉓ó{Úá÷ʱGýŽ{¬O௮¿[÷žoqFœç¿Œ3ëÆÿ&¯ÎIý£ûâ=—¼œ»ß8’·/îð+â!>Q\ Oo¿Ç:?ò»ßl¸~ÛhÇûÿ/×®óÅcþÒ¼{Ž~·ŽÆ?š‡òôæ?á ò÷åå´¾ µ8,^‰+ѯ½éw×ßóä Ós8†þ”GžY\é?û-oX~Œ~ÿýT?@?Ê3%?èû>êkÝW¯ø÷±µùÏÅ_ö¤Ÿ±‡õËxµç¾äã|Ó'tßÆÙ;¢äO~ú#OÔ{ÄÿÁü>ý%Wó>të+ãGºæürøï~g¼xkuþÀsȃß2å2Oý è¡ü0óòØ·Ñsåìˆ}駸)Ÿ î[¼s]ø‹âååMì¥uã§ÏŽx æ‘ü›ù½ç¯ _<//#?yHøˆáXr¢÷晞ð«pBó6ÿ›?çÉc뫃¿'rp==4¾Ôƒö¾,;&Ïáîþ_ãg†÷Ë÷àAá?çpœxÏß9ü‰'…ÿàË›Ÿ7έu?œ~òXݯ{òÜ~ð0|«kßÿ[ wÞù‡kïCóxzFì ¼ÂðþŠÞ²Köw~Ìw°æÏÙ |×}ö»yâ=×|ßóö½AzOïØ]®›Š#ü*½¦wxÕÄíO±ÇÙoêªãm“ß ÕŸynðÊø>ö¢áÕ>&~­^Ì>Íx‡oÓžyƒsÃëtÿÅÙ==àÏÌÃÝ·ºYÖK¬æ%q±û"tý^ß3Ÿý–ïŽÿ«þ,ß¹~m?éðŠÖ¯ _„Ï›ýÔ¿‘‡y.î¤?‰_ã1ù»ØÍú¿üØÏßý'ßñš'—í§Ç¾ÜŸø²Ž¼ë>à;o[— gâáM¼$xrÚ.¼çî¼í8¿ñíxóõʯê_ÎǯàÑ›ÀëpŽûèÿêœÀoô>‰ ìFŒGdplpÐ싾°GúPûÖ?úÊoñ#ônÀ÷/ïL~‡ÿ¡wÖEüZûˆŸáÏÑz|íì9üy¦Ž¹ïÓÑoñ§q‡ò›î½æ×È9|êäG‹½Ï¼º/þ·ñi8’\Ì}"xÖ<§~3ý3¿äF¾æÕü‰Sô‚>ãüïÈŸÃƽ֯¿°·ÖyÙCpz÷»Ûû™Í£ùu|Ixvõx@;ÁñÝŸ¸ûÙ,~·ø’zÀøóœ(ÜúÔàÄÅãÌãê¬÷üÕÑádqŒÄ¥ÔUìú†ºŸêòLr#wíš¿àªîW6^‡\ØÿD?à_Ï¡/â&¹”×óüàþ­ÿ€'Êã†Ï¢ïÝpuLþ%uÿ½Çb\ñ3Ýïzþļ“Cò÷Çþµô\îyüßú|tu€>R¾Oÿù·ÄÃá(ýH½eøÎ5ïì¦|«çÂuÑÏÅŸÔ¯6>ãIþÛúóô"¸møÓóÀï•×ð{óeþÜuæ×ø¯ig§ô |"9ŽWm| ýølæ§ïEßbïä×uì^<·à18 þ*N»qìèwí¸.ÔŽßONüØç¹®¸ÑsŠKï÷½Ç®ýÓ‡Ýgž?Íoy+ñ8õ±åŸig¸Œ6¤—ìYÜ ¿Ô÷—Çò÷âù¯Ã/ óCÆyýÅ×M/î¼ß¥~àg8$xkïq°öD¿“G¹~žàWÌ×ÉéW¸Åó]G^æ£y•ù Ÿô¨§™Ô5áß¿À­¿_ÍñžüõxÿW·÷{M{¿™^d=ÁpwžÓõf} ïº~óã7_ü\ëà}_ò‘ÿk^Ñýj½Œ3üÄøO×¹Ÿýñ³äœ7\È/¼þÇÌÇÖ÷‡²/ZùÓá8‡<’×í{dáÆ;±3þ€^‘=gÿô=quñ?G>úÉOð{žÞ’?Ù<’ùó?Ú!÷òöŽäJnׯ®cݺlúñ.>¯<Þ§áÇÍ—þ±ÏàÕÖ‘¦çåÁSÞ¼ôcühxÿvý|àÄ{þ¯Ísá-ý79nþØŸvÂ'§‰wÆO¿ÌSüuÄÃÏô›ÿºqZ×ñx¿(ã|Î>~!Ïkÿò Žîºíåµá ºþç±¾FÜóq¼ƒ/Æ{“g×h?ý]¿ÊWŠ+YV>ä±obò…G>Y= gókà Çáá1¿ç|ß‹„çÜÿï9oöÏ)®íuŵúéÜ}/¸ry‡yàGüNNüqpÂcÿ.úËOÈÇÌ'=£?©«î;"æ)úÕ÷¡§GŸú|óˆôKûñ}ur"Ÿò9üdù÷Ô¿ÿ^üÓâ5yf]×p£ëïÿí¯>¸ï‘­GýæÿÉ¿ ¯³yÑ?¼XêË‹ïÁãã èëÂSôý-ó¹¸É¿%O·ò›}_hy†y¦Ñã_á{¸¡ãɼLÎâùŠÇð‰~y^îß{7®_=~j>åyâù‰ûì†ýù_”Ñ[óI¿é;½JÜï÷ˆ†ßµÇÅ©ðW?F^Ë—Âsß/Ñ»ñ•žo^âÿ‡‚¯ïÓc~ ^WNŽÖSõ{žÃUú™ºøc]ñ²õN8â~ÿíôGÝÕ>bìaëNè9Ó{ò»qïû0^û;áeÇÕÿÐgv}šо¸@ß“gÏ>ãÇ3x^ìsò þÿ¡¿ò9zÍ.õƒÝóåã–O¿é}ø³íÿ{þ)ö8ýg‡ÑƒÆáÎ÷ô7ùN¿×VÜͯü}]<ÑßÔ&ã$‡»Þ¾ åËçÿµg¦ÿ)vQJ‡2ŸóCâ5ÿázúãe‚‡~Iýf|¹ž?N+s^\‡ïƒÓàÉò™Å¥xÇò¢ŽêÚå?µòð‘ðç þ-ÚïÇ×Næwé;w}xñå-ñ+÷(Ëš×äÇÝ·vy”ûÛÓ3ï ÍNô;<Àß²;ø(ùÏôPþ@?µCOè§:€ñšýH\Wöþ_yóš‡ò‘ëöUÔ×/éçx9r•‹[ñåW!¿Ôß'ßøµë<¼÷«œÓññôósŸÇîØixÞ퟾aï_‰7îåKáìðXO]œØøýRçÞ¾nÆ!Þ$Ÿov÷¯BÎúA/øƒøùÉ? ¿]»ÃgÅ•ð™ÿݯùNµîòä°÷r®ïǼ}¯rß›ôœ“Ǿ[tvÕ÷¹[ß^¿Ä zL®ü({c÷â+?N?Øcñ}yjzEßÍ/ÿÇ®èûýþ‹ù¡oâDòº¾§ã»[}ú²õâ•øÀßø=|Oy™Çû=‘ßp¿<¶8ÁŽá«·:œqßóïù©ë¾fu«òvæQ\7©ƒ,¿v}âÑì—}Ó/ã3þÞã×ÄÁէɟ <>)ëgɇ?%_z‚×à7’‡Ž÷ Ž¨Þm=£þÓ{ò4>ó)>ûùoGöBOâ?k7{ÏF|ÿ‹ßü¥zbÜú ç—Å¿î÷Ìëâ y™ïØÁò½ë;ï¾ãÓÍ7E~Ñ_q qªûÑLîð?#Ÿq„ nÜò+ëKúþþpq˜‡èm¿çùx—Ÿ?Û¾ÚÝNoØmpíúÑ:‰ñ«ó›þÂ<òÏðƒñ³Wó+ó?É[7Y×2}†G’gl^ô7<7(o-/Ùï4ý”yîûøøù_ꃫ¦ïÁÛçà¿Ç{(üsøï郼­ü¶þ†7é{w³v}îzêá"þ ø«û»l_ßÈ%v°¼&~åñ]Àæ¡Ú!WóÐuô’Þ:ºÞ¸]/o»ëö>Éýg—oƒàIx?Ïáý^pûó”„çNïÝ¿}˜®ýí“trÚ¾Gþ¿ñ}{zeŸ$ï‰ï½ôë÷ö1ºë÷>¹£y'Rjæñ=(|yºŸ¼ï_—§Ó~y;ú@‹{ù)óϯð³ô/ü×Ö›_ôý^ñãSâñÖz;ÄGðwü%{ãçÅ“»O\ ?³x”|‰?þø­ð {ïÑsµKÎì6^þAÜç¿ðTòxÏÇõ«ÿì–|Ä5Gx”ÿ§úëwzE_ùÿàªâ«ß´Ó|ÂsœóïÎé=¹ø¿å§âg?5²;ÿ·^¢K]—#ïèÉx“ä9ʼnkGÿ“¿±‡ñÌüêqÝÙþ ]G½uw¤¿ã ùùæMp7» ?‚_Üû ü¿yJ]¿ß=ß1þäçÌëxŒÔ‹¼ŠøÉnÈÍ8àßàäæñ“+;»ñ|é ?IØÉõsû+à[<‡ ý¾óîûÎn¶>‰¿ä¿à8rc×üŸ:PäÜ÷vÇÉåù©‹nÿä“—uŸá©{Þ¯ô&yÏciæéžû‡?ð§Æ“óÅoÄO­îʾÄöó‚3ﳸ/ë;ß‹„ZG×OöFšŸšÿÔWæ߲Τ߻êþ$}¦ß _½‚^%š¼Ø©ø&~°czl<®/»~˜raWì‰ÿ=yn} ¿g¾ãß÷Þ=ÁoòOøÒÄçñìÒïñ‹ÃºÅðDêÒÃÙâ ¿Å/ÀmÁ;Ë7ø5ú›yÛû8áÝúÝuñ·ï±¬Îtýú9Ï[¿øµà»á²òÿí—uö½ßhþáñßDõ7õ£ñ¿æA£¯ôü¯_òydì¿ïw=¾ó±3z-N°‹ø‘ÅizD¯ÊÕ?i‡ß’§®æùžcž‚û¯âÖKDO6^úh>+úã~ÏaŸøCzwñkü}ô¿ëغ¯ßâ:ý⟓̯V¯Âçüšy\¾Â®ø-÷ë'=Jýþ±’œÈGÜàèoüs|ÞxYÏå‡é×é‹÷ñþ*nêŸ#;„×É“Ó_Çø#8ßý×/ù×ä»_=†?ëï†C“þšú]ž^ Þï27>—×mþô)ý÷ŸŸ:Ÿô’^³çò͉¿8aœò³ÿîK9WÀ ááæ×<ÿˆ„ÛîyÃu=Âyðßµ7é\{7ÞÇþ÷»úö®ëQ{ŽxÕ“«öôkûb»ð°øJèax¼¾Ú÷WoŸ5¼ý[ÞÞh¼Æõ.Ž“¿³Û?Óq\¼hœ÷à?çø zfüôDûô´ùZüÓôŽ|µ£âqzþß{ŠîïÂïu}ž~Øoî뾫[ŸŸÅ¯ôûIókâ+¿z~yÚÔ†GÙ³xl|ä(NÁ­­‹dž‡_’'/Îó§Ærý¹~´ó"Þñ#ÃÚõ\q®ü™ßã[—i~ûù_Þ|§žW¾ø’žüvóöùŸ\¼Šï÷KðVõIæÇÿäÒuMÚ¯ÅÉàŸ‡üSÞ.?Ûº°xäyý_|’WzÎÝ÷þM¿<‡>‘+½Hž8£ŸÚ§üVìjë:<_þj>É…ÝÒŸä[ïÍø½uRvžþO¿e牛Ÿ*z›:Âã;©Cí{§áé‡_<7<{÷}Ù:Gñ%ø˜¼÷ýAvâyÚo†‡ÿUª?‹¿ÿåúÛuÖõÏúEOÌWÆÕõQãcÌ G~p¬vÂ[îûV~¿~þ&®˜þ+ù×êJü£xÆnýÏîØ?û¬Ê{èwøØÙ™öôƒø'<¹º$}ô¿~šïæwáç_ÃK­¾BËo;ªoÃgêÑð×c¸ ?yí :?y¸Î÷õpçÚo»7î½Gî:¼$œ¨ßþÇCê|kœž×¾õnÕžûK{úEpíÉmûÃë§çjŸzשÿ¸ùûpÏÙ÷†ï9;Þó?OýSðl×·¯îÃ/GÐ×ú vÏðI凂¦¯üAêê–³7¸Žc÷§Ï«C5߉¿[—ÎNà›ÄçÉ)ù{y¶ßäûîWÂÿ-ne[ßÿXþžº¼õ¾W–zàöä—úoÞâ»^q.®_åÄ9~ϼÓ#ø*q`þ÷ÎÕ«úžÆò|¿“/fœð¾8 §È£Ì£ö葸/ÏÓŽçÓwã)¾ágˇÂÝp ½Ê¸¶nÚøŒëú»}šÌKë\ôš]éÿõgë?èŸöØ¥ûÌy÷õ'|ÝâŒ8H®åÿÄQóë9ÁGêÌËsSÿþÔ_ãg/'ó¼ýiR|çþƳ'x˸Z?(þ‘×°£àçÕÇÙSx鉺'ž_Ñ8Ϯɛ]‘ŸëÌûÍÛöu3ÎŒ—¶ÿlxûáQý Î)_¿ïÚ».yìòø4yÌü1|$^”÷K~·8À¾õËø“×õ½¥ùò»ù•Ä›ñBÁ¹}¬ù]Ïa×ôÆ<%Ž?òÜúwþÇ‘ÿ毵{îû…Þ;´Âü;çO~³þ¤vÃÞÉÙsèýL¼Y¼ÖïÔÆWGLôŸ|Ä'zKŽ÷ܽ¿Ç/YGa¼ì>½~à-}ÇçQ‡Ç›Â—ð¼<éý"xÎ>ðÚ÷»ï êWñ­#Üì¹=â™ár8ø~·ÏÈã»Pæ W^4y`ëõãè“x"k'ñw<=â\g¾éQêôø÷ã±÷Œ«þ–ßvç]¿ãW<‡ÿ!¯Ä©ù‡Ö1ËtÑáïäË[OÏ/Šwîcž~Õ¾˜ãóô žÎë~ãIÄýâ†òAÍ»ÃuÿKx¬û‡Ž5¾ò$âéõÇ~z›ðNå=áû~ÿs8¸õjr‡é ¿zýÇ÷ì{sxJñò~ÿäú¡¿ñ‹Ó~1üØêj­Ÿ²§Ó×Ïÿáðy×lÿQ÷“ y‰sæGwýÓ?Þß//ÃoðÏűò¯ë/ÞeöäúBÙ+\H~ôEž%þ߸¼0üÅ>Ì?»»çn½·q’ïÍ»÷ŸûÙê/üšù¦ìÅ<%ŽOÏ/ëŒèYpÒ[é½µÕcáze¾ä{ô®`øØàÏÇ>ÅôF O9y²o~ˆ¿t?|q÷m}¨ëÉ™Ý8†?ܺzB~õƒî‹_¢“yê¿|’¾wö;)éð±yÿìƒÇ.é}‰f—Úw=}eæ‘>GqiøˆÉQ¿ÃûN_ÄßøÝÉÙ}þ§O©ƒÎПð­¿Âƒâ#9°r ? ÿ;ß8à?¸ Žƒ¿àÅëÏxFG¸òîÛ{Ap'Þ :Âå)áKø°|­ëõ¿×áUñ’ù½ùÙöa™á$y5DoÅaqnUoåáxî`ŸŽµ÷ð³ÏÔ›WgïÝŸüvëªø-z®ÔYôË>{ÃY'‡á þ†¾/?LJy;æ·ØgêŽ]9ÿ$«8Å/5 §“§÷|Çbõbýðö%®>¾—ÿуĻßô»¼ ¿pãñÞÐêzúþ¢ûcÌ/ø_\ÖOãÃ[¹®IÞ^^yþ‘œƒÆ3Ã5âs~ï{¾«s‘+{ew®oþÏßfÝÂâ{Æ£Ñó-¿päG#ÿñjü9ûÆË…oÿ9þcë}Ã×<öÒò«òWê¬ø—ë—÷*6×ïÏ©ïn^¯?¾Ó7¼Ê>ÍWðÿx$úDßàUzÏуø³í»–üsúcþrí}qØõ™§é•~â½à(ú›òÀC†Wg÷],xR{žÏÏógüÜ@^xYú„·°Ðð¬ç±CqŸOo·€y¥ž+ïŠÇ¢ÿ[·Æ¯˜râw’ŸϪŸÐ7ùþ˜oýd§ÉË»oÉcòö¿þ¶¾ã<ë ¢ÏêîÅ}ìaë¸Z×O³ýBÉŸúêê{‘o÷+éºqï7~”"gãã_Ìoê¹ìö±>nƒûà6¼¼xýüN½þÆ=þñîO‰·„;¯}ëM]º~8~ ŽÝz84ýÀ—~>dxßbWü?ÌoóÓð>€Þª‹¸~乞|ÙïÍ.N®~vçÞ/Ýïü |įñWpFêCÛo/ñq|Hø£ñÝɳç/]ç(^‘ŸñÊoø¸-q$7xáú³÷m?ò®_íwÞÊ{O ÏhþWäZÿä§àp~/~¤û//]ãkÆ›™z§}y tçÖÌÿ‡íwß[‡êwŽû]‹áx×Ýòø6q>þt¼ìÝ÷9ó¯ô‘ÞÈ3ñ]pvÄ7úÏ>ÅÙÄõí·|Ïý18}üŸùŒœÇC²O÷›'÷é_âÞÖåð[ô>z;<\ÿûõãÇø»ÖUðîû®Qx«éQxÏÉ!ùj÷]¼÷à>ù|üæò‹ÌÓÖ Ç/Ìox¿ŸâŸ†wÙeê׫3Ówø0xuß ÷~‡¿³ðxô48~yxô’ýÛ§wx•žÜ8Õ«æßàGü€8c^2žá×ð›x€}¿îŽÞûDþ¿syÓp’ûø ¸‡¼è­<)¼ìoå“Œ“ãÏÅCó?ÿ7ý¥§ÆÁ¿y^ù–äðɾ§~`û¬Ë·ØuøÝæ_üÉϱËýοñ«äįß}ðàŽ7Û÷Ò¹cðÙŽùÝzMûkZ?êº?µ}÷;žœÚŸÇ¾ìð,œyr_ªì‚?2üÿšøA÷^ý4ïü<¼É®n>ÙI×Íì½TóÄ^éGùLó wÁ=âªyçÃC/þÊ—NÿÕw†CÄAñÎ'ø)vÌï’›ëð ì›œËwŠ/­³ÈÙßõcûÿ°<yðgî§ïü,¹ó³®»~ÁÏò‡áfÿÃuÚ-’‡âoÉ#u¹åçÆ_ÜÖxÖ|:¸yß/I»ó›æGÞ_þAö»ù^l_WúÅ_–¿‚ûáæò™§®ÙþY'gÏþf¿ð’8_WðËáagçô"8pýÇå_ô.gÇå+ÅÃćåmôþÿÛïÕ[ïHû±Ç¾üʵ³÷üÉÏ|’|O/è3ÿaüÚ=½üœùÎ ßFîãoà‰ð¶ÃSîs}Û>Å3ð9Ëgã·Ëßî=qzþÈ]Þ¸äIôa~"õðùÏ1_Áwôåsìwó!¿oR?ý6o 7üQë¾ü üAnü4¿Ë?’ƒx’ü>çç·Ï˜ë›÷ßoÿñGÿé+½¢G쮄“µÛº ˜ø2üÞm¸‹Ÿæ؇ø#žÀ‹áåË÷îýd~~Ð'q4õ ëàǾY²:=;g¿âXð‡óÍ'?«_‰WòïÇØ?ó»“ß×á7®?xønïí¸ïοÃw^¿ö?~òäè}ôp§öñ¨×Þ·yî·×Çñ§×Nëä[_@ÿài×ñÏâ$y“GëÞôÆ1øuþ—ÃÅäOoð"®gGü¨ü'|ùÞÃä·Ì@œ3Γ7^l¸Ãüðkå/“oÇ#'órýÞzTü‚¸â>í³+~ÔüÑcóAÌ»ù†/¢ž?ÿMÞÚáà9ó~jÏ£p–ypŸøfYϱõxÍ·Ùoôo¼=£Ï‰ëÍç~Éõ‹gðÿªŸñ“}D´[<ÃËõO~«ÿÉW·>’¿2~ñ[ÞB/èÿ©ÝÚû† Í;½0nöÄoðãÚs̓þ_{ûŽy–ÿcçúÍõžõzEžÑ§ÇºáòÀpŽÿ=ϼÃwÍ{à6q1uà­×·é…x[§úEîü˜ç‘Opóƒ?¤Ÿž«?ä Ç“®›Ÿ©~Ð z&ò?}à§áÄÁñ—ô’ßÐo~O¾»ƒ_7Oõcw|ì_‡Ýóöžœ¿ÂqÊÂøÅûý±¯&\yóåûAß^ÿñßÞxÕÇ·/Óõkÿž*Žàèãõë7ñDÝ°yˆüáž·ï)ó_øþ!ó½ûøCól>Ù{ã*ý…ëÄó^aë ô'u¿­ “8?»ó;ùàeØËõcß³ºû·¯99Âø>þNÖ^ùÉèñÖ¯òwâ>|à~ó¦_'Ïñìß(¾n~ø5ø¡¼€øÂNÃïί³CyƒøfžÃw­~K>©km}ä7å 7ò£ñ‰òÜåYÄ^¼¯á;Ò~ßÿÀ+ør#'¼šßáóHNæçô^ÿËW,þhÏsÙ yÈ—´Ã¿³·Ô¥»žóáAã NoãzqI?Zïô¿q…ÏŸ¤=úŒ+OÙ÷àÝñ&Á×åGggô «þfìŽm<ÕÇäëòËÍ?Ü£Þ“y˜dGâ®|7zX¾ï§Øãì¶uþ—ßágåGåáÈ9úñØO)¼B¿ëøsôrý×Ù‡qñ×åkÍCêi[ohž='_kž9žƒÝ‹3úAØþÂüˆw߯âÿó»o|p¾ü"u<ãæM\1ïåoÜû>Tìv‘úáÖ;èWòÙñ)äD¯Å³âìðŠË’ïï½UýŸSW/Ž~ì§Jîð#\çò‡ÁÅŸÿîúáùð~ðœwrÞ„áNøòÎ?Ü< —^¿ŠO‡óð~w½:¶vÒÞ¾3yz¸:ûg|¨vn<ËÙ½À+óãê;ð?<§ÉäôÙ¼º><ÜOkæ“_ðKø&×{Nx¡Õóè‰ñÝùg~ŽI¾?}_ß'þ—8,Îñ#~§ïá5çßý®_‰;õÍÛÅ!þ‡`Gä#¾…wè¾]çÜ}»¯ËxÅë'=Ü#oKÙ±ñÒ/r¢gú‹5ßø×ðo‹ÃôWü“»Î¹qÃÓüÌýNOÇÃÒ“äÛ74uÈá8þêú»÷œÈ;úú›y†‡RWi}zëÇ-.Á¿ÆmÞÙñÍ£qί“ïÝ÷™ÝŠOü­¼&ñmë ùøŸÏNR¯|àOqÅýx yûÖ®ü%v!tŸ€Õý蹉‡®Ïó¬×ß¾_ð;„§ô?üY¿“²ï`³zÌ¿Š§py'_ý >é>ƒË ñ÷ÿê?‰—‹Ÿðû§üügÈ~ãî(n,ïàGðò#zê˜üæçà´~güÁ×»ÞÒ×ÔoÇK”×÷<~Ž ·ßÙ9{ ¾Þ¼š7~Š™ñ‚ðüûãÇRwÜúzÅßò?ô ¯÷Ò›ð±«KÑÔiÆC5?å—ùÉèóÖEèGòSôN~"ŸÓ.¼¯²óšúÌïÿéæ¼Å7óa<áï—×_»ŸÿÙÉ·xîúçá¸èxú³#žÏ—âo^¾;¹â=W‡oœknÕîõw|çõgõû“ûÚ•o°#ü!{£÷÷ûâ1?$/Kru2¸ÿà×á÷óËõßü?ÂOÁ™î×_Ï¡gá_·süÒøý§oâ·øÆNáÂÄõùO8?ˆŸ˜½ógÅspQÆ5|ÈžÄCñT ¿0\У<‘ß.?/ñŸúG¾äçúð Ã[æW¾çü/èÁ/“'û†ïȇÿàè[òÑá<8Ôx2ŽîGR?ºy4Îø›áñnó¥nµï‡§®ÓýÿÍËâ½×8çþÿ ܇¿ N _«'ˆOp´~‹úÁ˜Wz7“{òÆñþä ß!oã†SȯœõýÎñêºì[çσ±ÛÕÙ¿b\üy°ú¬ÿp=½ÿñ¢ÝhëXäÅáuéÃöJë:ºé‰ño÷gó^íé_òŠ_:ÿéw¿ã²õ…ô~o¹¼#uiö6<¼oë[åwððÓ{Rãuù9rágà­Ô«–—GðúòTú¦Ýð’ë/=œ¶.Â|ÈÇS‡]A z.»—Åßä1ã£ï‹³Žü*çä`ÿŒò/³x‚¾dÈÏ9ß>=ü§öåSúMÏÅóð•îïwé¶N?x`óÎψ“á%ÆÇ›7óŸx´õ·ü²öO>{¾¼ùöÞ´õ}}ʺß9üéwÇkŽôœñŒ×îêæ7/{¿Æÿß±NÞ7FØKìqräÿ‚׺_éÖ?'/øý^þ@Ÿè;}OÃãì=çü-ýŠ¿”/n½qÄo 'z>»æÄv•¸Þ÷.7îÓ“ßRÿÚ:|xÍúþ\\–÷ÆîÈwï9ÁÃâ=O½yã$8H<æŸè»‚ ‚Ïßõq]?ðtâ1z×}þ¯._$Ž-_¡?æñÚµïýYD^Éß—¸V\>Sÿ–'úC®¹nù{üï¯áCg—žKŸè<¤ÿÉïæÓ~“ƒy6¯â;<$ÞœüÌÿïÿâôT^Dã·gÇ­[¹ÎsØ3¹ëWx×æ[WÀ“Þ,þ±ß³ß+ü·uÁæ—ýŸm]®yqLüÍõú-/cÑOr\?ÈËóÉQ¾ïÿàååíäÿ“·v赺¼Àÿðÿw<=|xãþ5󵼯||ÛŸÂC/OÆÛ˜g×W_å±µçk§ï«“ïÖª7ßú¡_ð-¼íÏ W÷:ø»øÜuÅñúñözÎþè%§…'‚OÇ[‰/p;–Ïð³üûæßù5þ\Ü O¶~Ð{ý ~^‚Oï¸õèÆ §²Kò¯8¿âÜóʃ??ÂOëOpû¾G#¾©_&wŸÙå•úÀÏäM®Îù|œñðð_ð÷ücóíÁ‡ú''άŽ]¹ò«æçž·xÉ¿¿ï=¬Öïà¸îä÷åÁÝ}´z¿u`äÑý·n±u ý‘Ÿi'¼ÁÆ%N'^/kWþW¥?;ÿá^ù&ùÂÆËžõW<3ÈÛÑïåEà ú GÔ^Å1~‰Þ’»â¯Ê§à¯ô‡7„_¯¨~@_µÃþÙ‰y‡ëÙMþßûÉgöþ<쮳^_{[W›zïð =gðnêÏ÷“óûì¹ë†‹ã–_×ð‡äÓùàèyyVó^cþŠ¼èCò }‹‰Ÿý Oš_xÿø?ÿøþýúÿ#ûæÏñì;ú¼qû½y8CŽüìÕ8'?þ”]òOäâÿø}¯t®~urÚ:-òª¿W՛—n½¾|‰_Ÿè³ø^eúÞg~šÝë'?WÅuìOçñá7¶¾Œ°Gx‡áSøk=Žƒ‹ý¯:ï9™ð§çé‡çù]ûîó¿~8ê_q¬vƒO/ùqú}Ù¹ÿÙ>%ñ¶uºù#ó`þé]Ú_¼/_|·­~¬½à ñm©om=½)~‹]n==ýŽ¿_òEnÛ žæGð—æ#x‹Ý¯Ž–¸´ú¾ãëw¸F?àÛàÎ}C°wq'üÙü*{¿×ÍŸëoþíÏ>>Ήü&Wñþæ/Œ/ñhq‘Ÿ ‡â”çˆúÿ8\H?È?8ÿcžù=òƒñ½ú½ßû6ôžÝÀ)â€~ò—ÁeãSè+ý5úÏ¨¾©'Ê<¿|¬çŠ“ä稿äÖ<‰^¿¼÷5} šÿH½yë×è)½ò\ú~tö-.òŸæ•ŸWà)íÃyúÉOç“ÇÖ)à žo>áó—¼Ý:ö½×›ú×òñÀ}ì”ÝÂ'w¾ú| õøÖó·?»«ÿå§Ý—||ëføuøÓsóüåïÆ”W¥·æ;ñnöf¾ŒÇ8õÇï옽Wòž_2žùG㦿ìD^‚Oßÿ _»uEpuüâÖK³§ý¨¶®Œ]èoãYq*ÿ”ürë1Øqò´Ç¾_êJâ$‡Ï °¼ˆ¼àDvúÂCÏî“—vß‘­[2ä?æ|ø Þ»ù(>ô;WZÞ´¸³÷;‡µƒ—,ÏX^Ó¹þõºàÔÙÅɽñ³ëMV7ÏŽ|qö˜¼®ë]öž„y ^]Þ‘Ö.9f¼«ÿé'¹Ãaðþ‡‡™?ã/ÅCþLž(¾°_ø1ÏßwV<ŸÂqp@ê÷Û¯ x žžä§O¶–O±·ÓëÏÿ.øÙ<ëŸ8:{÷[Þ'ÿð<ú4ü³ÏÌÃÖé÷Ûgzï‡Oo!±Ÿð««{ŠÿÚ“wè9ÿ™ÿò)ìÇ<Á?w½÷™´Ÿ?›úaqÊpsyaãäGÉÝ|Ä/}ì|á ø¸àîÛûeÆÜBžóCð³~y~xßæ=ý>üÖAÓOüžújý-?Â_ðƒðMxíáOþTœ„¢ìvü^x¿ñÏpèÞ7ŸáGùYúN?Åkr’wÒ+ø]|„»ê÷Í»xuòá'Õ}Ì£<ˆX}›¿#O¸–ÞÑ#vB¾ðDìu¸>ýžj?ü²übï‘Šßô±zÍ5¿ÕŸèK÷iÝ{æûþƒÏà7ü!<ŸÁðàÉsøÏÿÚÑ.|yãÛýêýÎ]×öÛëÊ_z¾ëácþŠ>‹ô„žÁ{òÄä]ïˆË³Ù…#9Ãùî§Gò¸UþHŸÄq#ùN¿»7|FR‡_\°~Mœ.ž“—²#yløÅ­#4.ø\|§âcøÿñ!âGý”xV^’ÏÐúÆÏÂ{‰{«WŠÇ~g×ô#ùm÷Z=!úÛ}3Å!yLñéÖW÷»ã1á6yUûg<É#‡³Õ’7~þWá!øÉú¡äk­[6.Þà•Ø!{àoÄ[öÑxúÚÞO‚ÿø3~ nŽœû²‹Wñ+‹ßäí~ö™ø°8Fþä">¶>–xµuôøIó^|–ºêêÄú—ºÔô~z>¾ÞçùÛäû¾hê%[§,»ÞgÈî‡KÄ[ú*¾‰ãæ'<Àö ²}oñÇä@Žð1ýcoü 9á•Ø |ýÿ±þ#x³ï'mÞÙ9^FÞÔø¨ŸáÇWçºû¬“ùüÍ?üþœ!~ã3Ï›?ýãÏÌwp·ßÿïŽg“7‹â? .ÒOy3~Ìï©Ï¬NÁOk§ø)ׯ.aì1u¤áúÊ~åƒæ“5pZòÃåaü;¥úçyô¼ã7ÿwýp®öè¿ ¿SðŒº1žOp׉›p÷çÿü%¾ýjéɵG¿>ÿ‹ëÿµûù¿>büû7Ÿî§â§vøOü½¼_)¯MÿÅíÏ_ë¯è¥¸ÆŸ²{úYJÅY~Ž¿ ;9íÑ｟™üž¶¯ìgx—ÔîÝ'ή>ÎNñ@ä<=+¾9òÃá?Æ¿¦Î[?®Ÿž/¾³~œ~È;è‘|[žD/ƒ·[ßJ/à;㤗ôž÷üÄ©ùËð}ŸvupúÉß™¼Gó»Þ|Š?œÞG¾ý¾á¾¯çüþ/%NÀñ«úû׋“‹ƒúm>ä‰Yÿ°öœ'ï[}ƒáxã"—ÔË÷¾BêdÛï,ù5ùþf\x5çäŠ?ÎzÎÞEýäó¿9ùò Æsv¼yK»ÃEžê¾ |Ù¾ãÂ︞;; ÏMžc<Ë#ÝïùìŒýÀ­êNæ÷úÃ?õû³ö­å†cå÷ôºøZ<€Øï'_×ÉCàEí5¿oòKôiù»6?x4~ƒ>ÄŽªÇ«ï¦~0<*¾Â½ôÂşüåŽ?âÛ‚—ÅßrýâkâÆcõ)~ƒ\ÌŸ|4ÇÕÍØç½xzmžN.Ã7ø y }òó§/=ÆÿÂÕïð[ÝÏkïáÿñSp¨~…ݾ%Ú5~öÀ>ðHäÈžù)ýÄsya>’'>êùòKõWø0õŒÇ{¤÷¼ß¿ù7ðŸÿÉñÿòä£æxÏíq¸Vþ@ÿø[x Þ#ò¢ïæ9øeïýª/ÓgöÉžRÜz,ÇæCäe>Ù­ü€&/ë÷è·~_|H¼Øúó,~è=ŠÝ<Ö ã¥è¥<4ñ{ïQ‹¯òWòô|ö¦ÿðtê³'öÆÿ˜ÇàŠù7ýÑÿòõî#gþ‚þÞóäyôºß;¯Onô,ùûæß<wüÚì\¼ÔŽû’·¯.ÀókáM§wü4ÿlÉå®ó‚Õ_â_ºùêëú‰ßÒ/ù­yp½qãÌ—ñ•ïð»¸è~¿›ÏGÈ…=¤29Ô†×Ù{*äqÿï}q9ùüø äa¿æÿéÃÉgõ)zÉðW∸f¾´“õL[¯çÑKz¿@/† Í›çÐ'v7È#ÓS8Û¸ÅI<ˆq±/ù þŒœã÷Ç¿}ê÷ÏxÇ{Îãý8îôåõjßÑuŽý„ÿÖcÛ_ƒ#í“ôKìÓ{t[·`å=Ç/È·~‹½ï½Ë×o‰3ã¥é§øÉÎïÿßÿí—ú5?®=|=;÷{òÞõ[É{?^oµ}åàäÔ•†ÓÄsÏMÂÏlý ?|òü뿾þˆäüßœ}†辜óŸæ1~ïw~žæëßÌžæ/Õâo†ÂçÍÏñ ü]åÄÏ™Or¦Wø ~÷¿û’O~)(Îà áóÅþéqÁî¯7y÷¯.Ìÿ7=‡O2?«3’³:ÙO§7ü¯yÒnp̾G´ ÇÁåÁu[gÖøæÈ<¿ß£Ü{åò›<_]ï±~ì[ÝwxJþ9Ò'ù¾aq„ˆ¯x u–ëŸzÃÞGW77.úœµ}Sjâ—ùwNätó½ú<¹zŽëÈξç­~<þsìiu$q‘·¥Ž±¼IÿéõµÇŸì½Kù/}åé'¿“¸0{b?Ú‰¼¶¿\ê8ý.ÕôÎøÞxcþÜõ7®å¹äyòÿü÷WW äˆ1_òxúÎŽàjvW\}ÇåAäÊÿÝø&·ðk¿FϷ΢¼¾#ùÉw®ÝÏäKÍ»ü .†³é=œVÿ^suþŒÍ}'ñ2õŸÕ›Ä­ðãû^—qÑ[þÂ<‹W7¿¿¾éû=õ©³óü‘ùØ÷wðgçêÊ=ú®Žý)Õ³}—Ò¾êûîþñæÕó†[ï¸:;þ5¼B¿''~¿.¾:Ò{qÝýø]<®8ÊþS?Úº~ÿÃAâ"ÿ¾hyeïõÓ ù#Þ‹\Çïø¡Oü[âE÷Ÿß,>Ó/u‡ëŸþ..òoâžÿW‰›ô˜ÿ½ë·.àŽ{϶üUpôÏ™âçÕñàžàï}oŽŸ4>ùƒqÓqéîÿ«|ÞàïàãŦ>3?Lé~÷Úß:"þ¾2ÿÆCÏoüê¿E?Ælj·ìA»ô”ÁIôZܺö¬CÛ>…ôHü¥_×þ笰ßöÖï¥^¹¼¯q¾ƒwÙ/¼,NÓ ò2~rw={€«_·OdpàøT8$ño~,þÙ8»^fïIOxì}_âƱ÷5sý¾S¾—½¦½}Ä!ýf©³nˆkgûÿÀAô²~û®§7[WI>âUøܽw@_ÙsòýåÛá]W¿bŸ©¿Íï¨g7ýmÞg<ø úœ;œš80|LáW~G\â7È5vÑï‰o5ÿì˜<°ïeÊ÷ø»Ç¾€ì?žaïÍ’{óby? Ϧ΄7›þ…ÏÝøkä OÂ}pÜ=ïÛ{þ¾W~ãøöÚ÷ÿð¢û®k×9>ćº¿¼'¨_®»ySOß:Jçú ú=†/yìÍ_ÑzM¯ðŒpƒ8!_寒?>¾_–x0þ/¼ó£^€ÏS_7®¬kÙzŽë×ê3â¨sñþ»~xOpuu<ÇÝ7†Üûâ~¿qϯë\rÿ×oï}[÷•Çdz$]þB_à×ð,[ÏÏï„—×gÉ#fÆÞäÙεk<äv÷m”|þ”¾˜_uùüÒú³~ÀW?^îy¬û—§7œÊ¿9Ê·§¬Î(?H^©Ûw.Ðñ!¸rz!.'žI¾W¼í³0½â§å%­'¾w?çéWóP׉ô~%_óNÿ=—¼îüwzè~¸˜½•"wx~O]¢ùQ¿ã0NŸÈ“¼è üj| |ïGãsƧÊãáy«þè_ä½ÂæÓýá†C“¯=Þ{“‡°ùSxzqañOù+rçw'oµÎbù&?§ÿôOü$Oúxã_>¹°'߉ê{…øŽ}þƒCïèû’ÃkxW8>sÿµ·÷’Nþêÿãoï¾oo<ßžü¾½þ{ÏýöôeßÃÄŸ|¿½~ìz×9Þ|kì÷Ö—à&ù#;ºqÍ™Gò¿y“×â5­“Zø_Î_÷½Úúú ×Ò{~?øaï!Òox=É÷ð–ô‚ý›/ãäìÞ¡ŸÉ+·ÿÎÉáwúÊÞO^ÛM>,ŒgOûŽ|¦=¸ŽÖ_ã–ÇËCñ_ü€ëàKó‘øÔ}“†oàSþ ž'Ž±cy¬ëÉQÄ1zÓï„ŠóÛwÁ|‰“ôÈü‹»­ÿßÿ[ï%ƒ÷Ç÷À;׿¾ï¼÷xîzëÜ·®:u«ñø~×>~¬ü¼gžÉ‘¾à‰áVó˜üéó7'Ïëo¿»Ô¸7üÇÎÞ·¿(Ü yž|ƒ=ý«/ýÈçraßáá2üëøæææ™ýËþóÅ;v îÓÃäÇ÷–ÉoH?ï¹Ë7µ‡W'çöe<Ìÿ™g8üädÿuë1öý‰ä9‹ßé·yÚ:¸ëæûî³öÃî"ß­3Õo~ô_Ÿ¶÷;üËîé¿LŸå«xIr–ÏÜóéÅÞo§GÁ‹[ç.>ÝuÞÿÿNô¼šv ž’úÝpÜñ¤ËÛùiù+9‹Á½³››?Ç­{aä#ï¥Á£ûÎCùR| ü›qÿ þêwÂæ_øÛ?ÿ0;fGÆ-.ßÒ«_"ïůàþouP¸Ô8ù3GòýûË؇üÎxáüùàù =ýÄcž|ð€øÅáJçw½ß?8‡Oo¼[ª?žã|¹÷âñ¢xTÇ›Ïoï9ûÎzøèἆ|Ë|}ó¥}ÿ_ÿogêÂpÐ?ÿ2¨?¬žDŸÄ›äÓ?ö®Úûw_òeÝoF<Øz=óËôW]Pœ ÿ6ß™ÿñœ»~u q[äì„Ý-~ËÏà”ðu»ßw®¾xàº;î»&æ^æ_ø×ÿïü·qm]ºþ]»5~šß oµïEš§¬/˜Ÿ9`œÛ§œƒ£­ó[œÄkÿïçÿ×͉œŒWÈ®'à&íŸü Ît½ø™õ#üãÞs+>2ÏüUøǽQ½‡££7«êüåüàô”žÁuü¤<#v°¸mü©kÃCä¼u©âqÞ¼#úËÎõÓýçWø‰á@rlþ§ßâ®xg¾ÊÃñƒôÂzŸ´g^÷gNÈÆÇðkâ€ëØÃåÍÛ$ýÝ÷Ü_ÿt×óïä4^…>¼öþ’ëùÃâ+ò=ÿiœg¾÷ý&ú,ΘÏÿýK9|ªÑs8ož|oöI¿ø›à"õ‹Ïõä¨äxí~,»ë>\ᯮƒ'¯½íCtýìõÖ3_:ÞxìóŽGüîÆõ§ïÿñ”ðlxIíãU‡‡o~ö‹ü‰ÿ%ŸãßGùK×Á“®?ýXžÁÑg¸Dü¿á²»®vO±—á?þKûÆÑ8„g¡ßðŽü9~}<¿‘8±uÝ‘Ãð'}…³Ù£¸@_ÕyäK©ƒèo÷ùë÷|W×þ7_ò¿‹ïúáœfŸü <'ž¥ÎWþaßáƒ+Ò¿ñ6ü­vèU䵸ï¹Æ'îëgðxyÇíûÌOž„Èç¯p˜ßÅ òâßà”äýåÅÕݧÏú…0OÆM~ú2þn?Izy¼ÕÞëàÉY~m~ëÍNé=¼D®žsò'wü×x”ë?`qL|¿qÿÖ•éïÍÃð=}#/zO/ù¼µ£8GĉÿñËþ·²GñBü4ïüÕÉeë ùþ>š~‘}r.îÿO_Ö[–Ï•/áÇÂcö;?ÃÏæÿw×/¯çoà 8,8wu)óï³O÷þ‡öäð¼™>Ñsü7üa~áéÊýß|©_ôjøA?å—üAüʾoh¾ƒ§ùƒí gÐGöúÐ÷òš7’o¿[‚§Ýzeóí¹â–~ÒSÏ7?ô‡¿‚Ï›gé—|2xmï#â3=O|ƒ’'yÑgúAÏÌçáõ­›+ß^eù‡¸Â¿’§ø@ÿè;\`~ŒK£W³rßÙë/^/Ïýß¾œéçÛû,¼‡|½Çó ðƹ÷Íá<íª;ã'ñ†'—}Gò®Û~FúçÄ_züzr°¦ãÞ«¿qY¿iœ«S°Ï»^O÷»ëÎ?ŒŸÁç]¼+®ì{á«ŸÁg×ÛG9þ²ß‡·¿‡ëà#ú~~MÞþ[î¾sÎ.Ãçÿü½ßÅuEz'N'/>»ç¬nÀÅõð²óÉ›æ¿cÝ?fûdÈ{oÜ¿›ñƒ>\ûä½ý=–gÒóI/Ä·Ô—û|ˆGåáí‘ïéßïØ{ø|Ìo‰3[o¼¿õðü!¿GþñcÛ¯ÈNè¡ù’GóÏ©{ ¿òÛâ 9‰â&>†?ÕoÏc'‰;ã½G^fœæoÅßû\ÂןO\>ï=iG|ÑÆ!O1ŸÚiœ0ÿ³Wrb_ìw|}ú»õÀŽäÁ®ä'ä—øÔ:Ùø1|Ç̓up·qŸü9þN^wýòí°sø”Ÿ£'ôðä»ïeâÅï|ú'ƒç© ‘#|Y»€ƒÙsôiu¿§î;}Õ?y~^~À/éçá{ó6ÞÞÿü¬ñÀ§ì8yàÞ¿àõ«üHÍ \Oâ݇¿ˆßßø“'¯N·ÓO~ÿ¸ë¶ ¿“?EoÿIÆ)®×žé^–ß$oú+NzŽñÓñÑü»^Í?‡Þû Æö#غH÷Ñkó«Ýð¹;ŠßáSç·ÃCÏ{NâÖÖ!ÂmðÚ]7œïÝÿpÚxÁ›O߃®»ùÚõÅ‹øQÏÏqxñîwþ~Ý|¬΋‹ùüWõ€~¸.ùþÖ%˜òMkïðž#îi—]xnó"¼gx˜®7›}Ÿþ—ÀÿâK}þýd¿û®Lò¸G^rŒ_ÞøÂçì÷“Ão±£åÅÆßúIxöñžòRóqøjó ÿ”?<öË'óOÞp~…¼ùóäüúûWúƒ—ÔïÃêgÝ/~qK^ >‹ŸŽxA~<üÕâcü!¹ýn>+¯|ãwzM“gÿˆ÷ÇWuߪâä½ïìúf^Ä[¼ y o³uDwýök(¯ ~Áäró½}¦ôŽ‘ošgùŠ<>¼3Ü`]Èø< >ž˜gyªÿpCò™áGø‚þâ‰ÄizB.áÁ<‰ú†¸/oðÜÿþË:ÿxmyy4Ox[çòtøøú·|Š?† ¾ÿòyãGáèð,³Wõ†›ÇÕEÈÃü_žnýÃäb={0/ÑÛ®SØ÷eÃÛM/Ù‹yƒ«éKø¨Í7ý‚§øIóþïoÈ›‹žç9씟6~O>°õ4žÃ“'}¿þzt~åüžÅûÅó·âàÅ«ÕåCô Þ”w†ñ¾Íð°ºYÖ§¬ß~ç÷øµßOñS‹WäÜ>\a¼×Ÿ­ÃJ~=¾Ÿ|éûÉ—_R懴ãœ>Ò£ó;Ý¿Aþ1†<ÿþK¾àñp8M~»ó}GÒuðÞÙ÷êç÷¼ñxÂÓ›í¤ý›ßí¤wÝÞ/¿qn&¾óúõxýô@ûôs|ûå·ùÃàsxK½|ù™ùT¿G÷?÷ÿ§{.}º~”?øý§ø%úó¾¼íü2^uë£éwì¾ß}ì>hëï>ÜÍŽþcükôxñ‡|Éãô`¼ªþŸß·duõ"þ;öc^~ëü&/Ã?õ=’¿.7ÿãw[`—ì_|Óoøœ?ú¾ä«æ_ôKüåá@ü|}›?5_'§ß#×ù±¿ÿr\ëïõky§ßå5pÞý>\ü/{_ÄSû=¯û}ªßŸù/úküäjü~ýoró?¼'_ÀÀ•Áêà{o_>}ÿñ®ÿ+ÜÏ°‡ÖµÌ»À§Ð[zl¾ùwó"^Ðy9'~o9OP>ºùkÞÊ÷l]~âOîó§ã÷Ù5üEþwýâlæyuXýÁ¯Üøà5~Ðú–ÅKùrëËü*}ý]?Êÿÿ¿øï÷àÝå7þç7ØÏŃáÇ÷ÛíDzzÆÉm¸C»òö~z²÷+ðOü}g§äÉàçè½fÿôåž;{äÿÉùÆouØâŸ|Eô“>ã ùá³Ç½GbÞN®¾ç´ý¯áßð«—Á¡©³ ¯š×Úeù)qLÿå/øR|ÿ~ãþHÿù{òý÷×_óõ?|éïúžÔêˆ7žŸnÞþ‹kïïø½Æi<,½½ëW70§¿Ûgâä1\Ápšsü¼çþëo×;º¸ôäúàáÊkïñ¿û´ãxòØÿî/?éú‚£ä;Þ{üýI°ß9\}_È?ù^¥—òžøï½wÅßâÍø%¼}ƒoé=»g7ô=<øÖYÏ=×úø­ ÐÏç¯ÈUÿžgï)â[Ô•Ä9~Û8NÇûðW©»Á…‹âÆçÝýÛß’ºß÷½YýçW/¾·¤ð }ºyàçáºñ…â@xàÕëøq®Å^?.˜_ÐïÃÿã—è‘çÉ?ø‰ÿ¥ŸÝ|^ö~_< /ºïÍÈŸðª7_êQ{žëøYòæ'“¯î\±º?ý¹~¿}•ßÃíð#ù$Î-ΰSycø„®»íû4‹¯Y¸÷¸ð‡ÚÁ‹šW|xÑõøßk÷'uDüžþãuù›ÖKá+þÞ¦ŽÓïéN~pgÖ7¬ÿì®5>øÑø¯í{ p*;1¯ø>Ï?³v_üÞö³ºþŒ3/­‡ògÿ ï?ü!õ„ÝGOØõï¿ôçÓÿÿGôƼuþµSÞ® ^žÄŠSú¼j}Ðø xFÞK®žã¹Ñ÷áPþíìxï£ÁƒìøŸÅžµþjï˺ŽÜå¥gÏ[OA_SŸ3Ž‹7Ý—løVÁ3™_úc½‚xo<êðô”\é“yÀ;&ßïÃÒ'ræOäÉüopöü¥yæßØ |ª=~Ý|ûŸþË/õOøxï>ìÙûàµâ>×;ÂwþwÿÍûãzí9/þ,Žlÿ=Oûü7=h=Nd—ø%þ~Ä~ënN/ÇžÞo?®âMó¯?æÓ¹¼œ^üÛ/ýÙö‘—â‰Ø±8Éÿë/yß[g;û²?öü³<ü®÷ÞáÖè= Ïßï,ïý™»^Ñgq‹Ÿ†GÃ{4/û+¼ÎŸ\·ÿÿFŽüŸù•ÿ½ ¿›yÞÖ[‘+;K½hÏMÝžÿ3ÿ¿ÇÿmýSã²y½ço}cq™~]þJ'¶$=-OŠ_5¿øjqF|ð?cÞÔÓn\¾«;ùÃÉñ«{ŸÌ8ð6ɳ¦Ÿ§?éëŒO»ìY}•žÈ+õ‡ž|·¾ÂüVÿŒ7|ò[íJžçâÓðøÉ+èãìŽçà$zÂàÃògôçúùwêÿe}äwóï¹åwè¹ùbOp£øçûW‡‰sx¦³Çßãçðt7~ö·÷ñ£Á¿öK^Äç¥.ó{ìãwí’?|OÿW^‘<ÇóÌ»u™[·¦_ÿáK?9ù©_yýONŽ¿ÿë/õyúJ?Üg7ïýþÎü1žÝ8ñiüÅéÑc¾´×’Ãá£Õÿ‹/?OO¥Þ²ú•çˆëôžoÜ$úæwxЗÖÏ®ãÏÉ_àùæS¿Ù•xNÈ;õ°ù}ób|ñ{¯ŸÿWÇ+â{NÞWïzýá úÁ?ªÏ˜þãìÿuîë×ö ¿c÷ïy¬<9yÿexÎsוWôÜ×7xMퟜ¾½vv¼ë}/h¸óæžtý¾sî:¸´8W¿á×{ÎÚu98w}ñùÉññœò¶ÅÍ}žó¶ÛþD®«Ã7£¯ü(܆WÀSÑ#ø¯¨~qöÍ.~—Gj¿(îÐC|ûý_úÕþ«ÄÃÄÇí ÷;²“ÿòK»ØûxéÆÿ7¿«?êüCñ’ëø/öèùᆋÿÇø3u-qßÊß:òï÷¿uyÝ7÷±Žþ?Ùÿ~nß½Ÿà-Z‡‘ÇàKÅOã„Çé!ÿ&îÁxékW]}û?ã ÉÎÑŸü²¸ÂŸû}„‡ú­úw펯Ugþ_¾œßâÒé_ê~Ã+p‰øC’?ízy|sóýkââö5T¿ô®Â‹Áøˆk¼ œŸ:þôèäµ:q˜¸ïžcßßí¿¤ŸôCîþ½§zrÎ5ïžÇÞÊO:7/æ!ßÔÿç'é‹|$<âã=í™G¼Ôÿø¥ÜºŸìúɾá<-=åÇø8 ®7nr7Ÿå³Ù›¼F=¡yÚ᜿’?¹Ñ[8˜=ÊûÙÿÎÏþ»ø_óAßè©üDø8•<àQúIïè‡< /nhçì|u0úWݼÒßí×æv(OÔoq’ŸÌ7þÞ¼7yéGê+ŧ+ÞŠ'á7ŠWñÓgóBÃCñ¯«‹ÿ¯_æ±{ïÀ¼é?ú3ý;}X~E?“ }„/øµ»î¯~ÇÜóæ3ÓCöÅÂâþÇü^ÿü¦sG8þƒ/á=ø¸ø±øóOÕNqç×úÒ~ײëJ‡§ïÿ½§tϱ^t|Sç‰àáó¬n|ú÷‰}âÅؽOÅ{GøŒ>§îò;þ_ôœ³“½O ï†'=—žÞóøT|ïÄ~Í8ùuíü7_ê×ì.ƒ3üOÝÏïó;âQðD×m=öU¢×xHíò ±Ë­§dÏòêø“ÅË{þß±kü6;†oÉÑ|³/þëžG_–Ÿßïã1àd~‹ß•˜wö/Î$/ïw©~Íx×¾vømzÀ¬[¿ß|×qq´}r2¯Á“ã/ôO|Ç›ÓûÓ[yÚâ±þÒxœýz>~Ã9½Ó_ý·ҷkß> {ŸÕx®ÝñªpÄõoïéþç/íO8Ü ÷ðûúo|ð³8zòïIÄ=þ?yØÞ3ăº>u‹Õ­O.¾»ƒ^ó[ô=y.¾‘Ý…—ŸÈŽÙ!¾Ñ¼ÈƒþëÌ3»“¯Ð;ú}YÝ#<íÖÐgvf¼âƒ¼ëæ}~×óè5Üטgí5ÏÓ.¿÷¿´Ã­Û¼ûv.¿ ·ç9ò×p¯çÖÞéEì‹¿Ïè<=„Oõ;yÚÆ}÷,o2®æ9ìD\Œý— ¿0Üjžw½ÁÃÉÅü$ÞL£·åN·Ï:?"и“½kG>lñðßYW—Vïdÿ×ßô쮃ç÷þ>,×mŸ$~íôŸ2¼÷áMï¹{Üšóñ§Ú9¿²u£å_Ý×ïºôgïÝõ¾iÎ}Çèä±ãÉ{çá{û’Ð÷Ó¯ásö›||ñXž¢=ù(Þ>¤·ò€—8Øï¬n§ýÿÿI^£=ø‚IcþZ?±»;z¯lï—±{¼þ—ý“3y°{çä O\}7e¿Ãÿ[ìÿÃ_‹äÀþØ]ä4þZ{ä¨ûÁ_›o÷Á}ôÖüáMùÿÃéònú¬=øƒÞÊÈ‘„Ç›ÿ1¿ÍŸðåäÁ¿ÈçÕ'´kžÅK툇xõâöš§³óíÿÞüú_Êsõx ÿ@¯x™žñ·â¾vk§¯Ó y˜þi|ùOþˆ}’öÈ%<Àü{gçå/ôÿôà¿€ó’òÃògßÁî>žeGæ |§ùûo¿Ô›}Ÿ‹?¹öÿjüòö{z9þÔx¯ßÛ×ËÿìÃ|i—üO6OúÇoÐgù»“_¿ÉŸ½~˜WzurÚ¾ù÷ûßÑ7Ï5_ô‰\nžÿûÜûQÉ+í34ܧ9?¹ì;;7¯ûþÏÙõøó»­¸çí=ôëçøÅ{ÞöíÄÞõxѽ_:¿~¬Ýëçc+ûç7ã×—ÑWë]Î?²GíýÏ_®‹Ù>€æïìŸ3ÿJ?،ݲúÏòãôñôbïõñ{‡S&ÏñÍäyoÿÔ“×p>>o]¾¹¼ó׎í—ç9êOùñ^wr|Ý'¹qÒßïä=׎ãc_†{î®?»ØïwöUÇ›ïé=Úqôûéñö—½~Ûçvã==Ù:ÿß}|¹]²ydëggûÝsðÿÆiüÚ¥'§G]ÃOëZñ»üÿöi>ù=ìLÿÌßsv«wý¾¬.u×}{òûöîßùÉïÛÄ÷=Ö}×ÏÓ}'„<WzÜøv×}{òþV;®£ï'·oo>Çüo?ìß7~9ÿ–ë?›g×yþÿqïû?{Ñové¹æÛ¹ÿ‡ô‹þûŸ}Ñçê±ßµÃîk¿}ŽûÈ]ׯh¯×kÇø<Ïïõ7îëužç¼ý®ŸÑOí·½Ègûù½í;×èßc¼­k“Oç¥~ºzá(zNŸ—~°ëÆÆYþaø3~kñŽþj]Š#Æë:íðËpì¹úÅOºÏÿæ…¾WOÛÎ/;W´[}È<ç—ŸÍqò1_Æï~™“ðŸü«ùª=WŒ·v`ÞÇæ7cOpÛðx ƒyr_ó~þÎ?äþé™ßá"vj~óÿpIý{)..îGȱ8C»ðDýhõOôÐyýtýkÿ¯?n¼yÁïÓ߶ßû=¾çžœà­Åwó =cßâ:€wá!ú£ßÅÙ®÷»#?"Ÿ—'›_v­Ú~Yûð<¿äwϹóáJz —‘ 9Òëà>òœ|µo^êOåìÅ}ü¤ö:ßü8¿õ’ïìwþÉ}žë:÷µoGí¶?ÚuÞq:¾=Ïÿüìéÿ7p°ó›?Âgpqâþð\¬_מvàÉ]_8Š3Á¹òÚoÈU¸qÇòß´ÿÀü_qTâÊp±~ñGüóïA¯´ç¾Æ¡æü•cýwò}OF]×x"ŸéùUßô­¿¿ýïø¦‡ÍÿÚ~4þâšÚAøŒÙ;Ç/ñ[äÅÿðwòaG~ß}ü-Æo9z>˜:ùâEyøçžó­üI?ù·ØýüVù.qœ¼È·~¦ócþÜïèþòoáçö½"ööâÏʧ¥·âGx¨_pþòk|sðÖ~wž|õƒùJ¼{àã~Ë?Ë“ϸ?û¯¡¿Í3Ê?•§ÍuË7š/9gÌÎè‘çÖŽûÜð;³ó|ÿ¶_Äwõso꺭»zÿÙ<ì-Ÿ+Îm=™?‚;ï͇š·ã†?èeñ#}ö¿öšo÷÷öÏuÚŸ\?\ï¹å3à-ýLJÅ.<øþ`þŸàÕOè û§WúŸ¸7Êü5¾å÷ÿ¨=ÏIÿ^ó]ãäŸÈ£~§¼žøÜxî:óIÎô·8ªÏ©Ÿ+¯”|dõrã+Åóçº^¼?ð0æß¼ÁmŸà>u"óﺶ^ou¯üþxnêíÃ/Õ'ãcWåuè9ùdÜÃÓÆ¡]qPÍkô§ùÝæ]ÿýî¹ôÎóØQù1÷Ñgú;ØóÊËWßÙû{l=¡úÚ¸ÍnØCÖù=Ö‘W”G§Ãóâaù›‡ÝëùÖò~§'æ‡üàgíÆþ×ïäëÓþÌïæÏsÍ+ÜDŽå5é9?o'ÎÎ>’‡NžÅ¯úÇŒ³yŠsGzîùúUÜÕxÿ²þê}ÿ8úŸ¾Æ¯uÝ";YþNRWÙzLréuð+ù”ßfæ±ÿç|ú`S§êwC¾†?ÆC²ƒèÅúe^ÍKpõÖg^{ßëç=÷!wúÕzd^Z§Ó~ýùøÝ|‰sòVò7®æŽìœ¾ùýEßäüøŸÿ+o[^A½u÷m=+>Ë|â™â^×á—?)S^¥y›óþ_9‹x7|šsñʼ½á¦·yjÞÖ:Î[ýÈü½ñæoyÛ×ê m‡_l õô¯á·úSó×ñ½÷íøµúÁ›\zÆùRGXý¢8 ýëx¿6o_›§·úÈKýcu…ÖIªGåqé5?‡½ä‹#îƒÏøSÏÿÅÁð,[Ί_ühò8ñê{þ]\ Î…«ï÷‡?ßïð—ñãÁáVx>ú>yÁS÷ü¼x(î˜÷ʵG<„þÑ[ÿgýÕðüP|;\Úü.ùßâ’cÛßô«ydò¥éUÛ)oœñŸ‹]/7-žïÿŽžÓñ;âuÙ#¹$Ïûj>Më_Òßâªñ•ô]‘«våg±»á³òYô*xizÔú{cÇô9|F×é­ßä˜}OùýãʳÏ•÷ôòà¿Ì“q9ò“ìƒÜ´#Þð¿æ5ín>¯ÿ«¿g–]ûÁa«›ë'¼‡ï¤×pkxÒõK;§Ï궎Ë[ƒ§·þ3üíöù&_zÅþûç£ü‰yèü…¯yð4äçèþäovõ³ÏwÎ/ãõÔÕÈÎ(¿!_ ßø‡Ù5;eW­G˜ÇÄçò³§·üÃyxÊíºÚWøÿùã%'~×ýìºùEñnqµßõDZ¼…ç7Ÿ'®½âVýKc~ÙÿÚã‡{Næ¥ùH¯§ü}‘׳ÃàIþqvn=ÇÍÏ_óïì€_a©îؼà­Îóµ|-8ÿ±¾‰Ýd¯ïó•‡i>ù–?½õó%Ÿz_ò™¯»n<êG»¾\^æù±~ ú±>>ó·zØuåeù×ë§u2®¯œk¯•Oy¡ú“ê_ýŒv›W6¯wNÞÎ˃x~ÛíóÝOOê·üþ–WŸÉí+[þˆ<œ×ïÕ®ÚŽÏõÍÓ;ní'ï(O¸üµë!šëGøÌñÉp™qÒwø˜^ÑGq9ùÙãûxÆ'_âŸÅy€8.OáßËK”ïõÜÉWü®Ÿ8¹°ÿëïx?z 'TCôüìÝúÀž3á1¿«¾Àž×<·öF:/ü–üÐ|ÃkÎÉßuâ‡Ï±q©¸þ­Nû|­‡—_{G­ót<­'|müorjÞÓã[=æíX¼T<öVÇjÞÖ~‡Ï/%/|¬3 ß×õ¦óCüzøùõ¢ýÔEÇ•ÇÖ?þÉuü~‹{á‹'ú>Ýì-¼éüwÖO<ðy&ïÜõ©¼ý?œâ<ëP>$®Î¯–w4^rWˇ7ßuÞûÏÉ5|ÔãýK혧·u2îoÿœ'<ú—þëßÖçáoá­›Oü~nõôæ3ü ½+¾ŒÊ«.›¯ø…ñSÍ#Ø+û¨»v¾½þü1¼ù#ïH}g8S÷{ç§ù…þñ7ú¯ïy—¿yắ÷ì€=‰ïâqñ¦ç±·Öçà×ó#â0yÁ5ůуÆï­ßö»sí·}W¿È/y~ùò‚wà'Ïg7äÓñ‘çóOY×÷Ø÷­8»x&xçuŸ7>˜ïx«_æ!ó×u_ó³úï9Íw<'ë>Ô:g?üaó¯ð̸”|çQ/"ÇÊ·ø¤8/¿wýãü[qaç·y•vã—_ç¿Ç^÷R×}}©ø¶ú×ö7.—³_þÁ<ñ#üGù1þ¬u˜þ¬ë‰?R7žö9å‡ê?ÙöÞø¹âOíÑÓ7\Üym¿Þðí×Öéhç  ?ëqóÛ±x»qα¼ryG㿺>(ù÷g‡éƒvÂ|½‡7hß<+¼ðìï-©Þ˜§Ö£zL~ûÈ;]W<Ùÿ{_ûá÷ö§í”®>×?tÜþ¯\²á!ç·ü±ã Þ|¼ÇY;¯F_÷uWƒ &'x°ü®z–xæÿÖ9Ë;Ñ·â~ãÓOçp½zÊÙA÷mýü‘÷:÷¼êÜÂîà¶â¹ØÙx$íëþçÏÉÉuð™ø¼Ð¼~y·çO¯ÎL®}.üã9ÆUÎüú¿ë~Z×Æӷ犗ü‘~ÀIåù‚Ó÷òcø;Ïýu¸õKž~rX7<ÈâtûMðü1ùË+ÜW>¾ë’Ÿ/oJžøx/5üȇ\×ï%½î“Àžè£þêOx¦ÇþÊžëÜÿø¥äÕ}‘<‡¼ïùß'ÜþÍçåûüÑÉáqä/ø÷«ƒ†Ù¼êoãÞ?..g¾&wzg¾Â¿LßùeÏs]üïW×q8¦þ9}ÉÿÓ—à¨Õ—S‡ÎÔ¯úcíòëô‰]TŽå³Ê—Wj¼'¯·|¤ÇòÎá7Nòj>W^Íü5ÿð{ó™Öz]õ®¼^oüß×úóÖæg•×[Þª¿/üÕãyÅÇß:ÅCâeðòÖE4¾¥~ºøQêæ¥ïEw‚æå執Ÿ¼~”'ÏÂ<Þ[dáGw½s~ |íã»"îËóñŽã[ù]G×9^;cüõöɼ~ìºêÏéÉ»^«þ¢úÐzIí°~Cvãü>üÜë>Æâ¼Õ:©s÷›—øÿ]_^Oûô—rî¹ünñ«v]oÞ;–_-DßË£ê¯vÄ1óaœê2ÿË—uŸÅ=v$…g{}—ÿhÞ‰×K\|¬W ÿ:eüåCš÷jÞù Ͻº@ùRã÷»yc÷Æ“úýê]å›ê'Ì—ç„Gè÷8Økãó¾ qr[}%ü‡ß»^ä1o­ ±8¯ü«¸á¾øÍá¤Æ»äŸï(™·øÓÇ>+p;!Wz ^ð÷åWR¯f¿â—vä1®coÆÓºwêK{o7õÚé??CßàÅðpÃùð¡ßÃoëòoyVù·ø®?âgÇÏŽ<¯õ¸ð¶ž,yTßçÞó฾uõ˜ä «ƒ$_Ü´—ü|í'/Ô±ùSqÄ8é½û[÷èz*Gzý¶Î¡üRy_~Ÿ^·¼­Óh»ÆÿZhü{NÅåÑ:î·#{/ÿäwvøƇ‹ÓôN|u¤ÇÖ%°7~E¾mþ¯›%¯N€OÄz§_æ.’·›góô†Ãê¯{ì¼¾õ»yaâüëûÃý_ÞøÙ;Ž4ümò¥áköÞçêoâÛëøZos^>µxÅsâ)}cÌGyÑê¹ðæN(ãºâLã×ZWIý€_’™ßÙñˆÅY=ÖO·þ^?ïœüzîù/¼nóíáý3oÚk¼lüíyæý±O@ã½o_¬Þï6?qdg/ö± ö9>Ö±²GG×™ñ,üä÷ô(üáÛ~†ÃÏžOSÇÚÿp ý yÔ=R'YœæOê—[g Û>ÿÉ‹>ô9YÐñwÍñmð;~~&/çâìÿò%¿^žjýò<íÒòk>ažÃÿ?Þço<-~à'Ë–÷4®äký¶ËŸŒ§|%=˺’×÷6´ç>í¶žÃŽÚù_ó¬ú÷yžç¿“}&®׸åz~Àuô5ùìë:æØÓæ×ÿ/¸yv–< ø·ë¨ûùWÏoÑKöÉï¨[ê_qÝÛ±qµú^^O|ízŠבÿÈñoýÞÌã;9â²ûê¿Â·~uÿ…æo×wüoÇê㋾ú÷W®=V*Ïü¿cpÎëï§çÛ×ákúôÂ?ò7ýüšÜûå¯ð×űo¸ÿí8èü üË~û½ ñ`ð ýU?„\^~¼š|Š˜GÏ…“ø£ÊãM¿¦Wù¿ßýzèUôbו·âÿ’'l?"r½v¶Nº>.á§=§ü*\EoÚŽþà Î_ô`ñFþÆßÃ;ð vÄùòÞÍï›÷ÔŽÊ÷›wíhWœ{ã‡áËÔ“g<˜×òþÅ=å5Ê£˜§·ºÇÛOo•ïõàÃÊvÝAy©â¼>¦øâQÿõØß²¸£y±|^…?œß<|ýØúSøM>ÆÎÌ;lÁ~‚G¿ÕË^÷[ôœð°ýáVò×ÿÖAçÉ£<ù¹/úõØ¿ƒ>ðãâ`ü`Ä'ri>žüqßÝäO“ç'ÿ©~±¼­<¾<²óòÎ~/кMòåcÉ£ûý…òÔ÷#ɽ¿³+G÷'ïœý›ó|½ý=ô«õ —úßWß,Ïú†3ßêï­z¾óÚAŸÿºz¢<-¼Åƒo¦WÚëyŽ‹ôÓ8\çyæó ·³›^'9Ñ—õìÂ9yŠ‡þoýÞ:¹‹‹/u}¿o})ý¤·®gÿž¼Üõ¥{ ŸÚ3½`‘çðiøµ­‹?{ð’õÃìÌïÅ›ü„£qº/þ­yÁÆ“úåøÍâ—ðì­>öÅ)ÜßSý.zVù¼ÖOÞx>ßuÕ÷äUãÃ<7uÂá?úǾŠ[ËC¸.Ö¾¸©úïwöÓ<-¸{ø>‡§ùmýß”W¢gæ¥~šÒ^õ7r+þŸÛz6ž N1ä'.ŠÛŽ½¿¸Çÿâ®ç›ÿð®}÷>y»ÿˆ—#ÿòt/|Üã{îÆopväwåwÃwn½}„‹SèGxÁóÑ«Ùkðìp…ñÂIðù&ߘކïû®qŒ¿{Y±õoá‡ïåùoßÃy|ÏÝ|¿xÑ|…¼3¾ák~}™oýÍußæ«yFÖÃ<Þ30OÉ['_öä:~ÇsŒ—=[ë=Žô]Àé⨸‰¿!ïÄÓñ=ø÷9/¨<ÛüAñCòÛùcóIÿÌgpïæ3üÅŽä?¿uO±Ÿæ½÷ˆÙ';ȼ<ÖÉf½Ð#_O0{„Š7c}'öÝ×i§ó>ïñþ¢<¼æœ>´á‹ë­ _ðuòþñ•âùÈ7ä£ì0|ôòÖþï÷Ô¿¶_•ü–];Ò3í‡ÿ|ìÃ-Ö¾ÀxØ~%øþ‘¿šŸâtóE¾áÝkß~ž=ÜuýnÔ#Ÿ ¹ëï÷­ç,Èü=âoñUq¹•'"'òð?¹„ü2å5÷;=O}àÁ7h/~í±¦£¼]¿{?@/=—Üš—³‹ÈÿÁÿV¾ôÔø¯‚ ñ¢8¸8Íÿox×øœOìø±ý.®Ð/çþ/NpüZ¡ünó<ã)^ì¼õ÷æ9žg|OÇßu ¿Í7ïºÙïûÛøÕµWzãwÏ3ñ)ñ‘žo}¹Ñ_úÿöÈ;ÂÇö;ÃÃqô¬xÖs"ŸîCöà[ô×ü°[ã®~Ó#ãx±×Ý×:!}¨=Enú_ó¶Þ_ÿÚú¢v[¿Ó^Ûéü”_ñ÷‡Ÿ¬+ÎîxÚ?þÔ¼âWâ·»®wüžÓ|ÃspLpÓcKÇòžåÏô¯ñI<Ÿ9>à{|óGžÛøYžÖ}õ?õ3ŽäTÿûÆ+ê¼3rýSìfñ4u¸G¾>äõ;“=¾åu/<Ë×Ö­­Ýë×÷ÉcßöyäYòtçîç'éaó¤ðç{?ÃóZO?xì—/óú½ö]o~ün¼­g¶ÎËÎ;N~Äÿæáå¹sýMï±ÏKúýØÇà…xÄÉò:µCý²¼X?È^„¯ý¾ÿ¿óÓÃÕÉÜWÿR{­_¬ý¶®ZÜP¿‘uQüúvìº'ý+Žy«ôØ~½;ž·zRóì·ûÞŽõ£Í»šgtüoÇ¿U^ÿGÿ¿Êõkòz“såôVÇh^«ŸÉ?4n„‡o?¿ï†4¿süÖï^/®É·ø1~ÎQü(Îáoý_¾£qì-®÷õù®ãËw9‡'rþ¡ó÷Äÿ?öæ¯ù¿âyþW¿È“ßô¿yÎúŽíco°³ð kÅ•<„¾Ð?¸Øs´Gäo\æÏ}ÎñOŽÆ‹'êÑ}ÁW\÷–'÷ºÚ_yróœúÅ7?÷ß~YÇ~äÅ}åQám¿“ ý%_y_ç¼\ÏþÃÿ½îÓéÜ|™ÿø§ÙAóжC_áxÀ‘½h78eífþp?yF¿&÷Ö?ø—ú¹òvâyãZý|õ!uÒÇwwR_{û~õg‘G×…¥®7\×õÎËÏ–/Lܙ߃É»õÂäåú"ÒÎ{üD×ý=øî·ü õ€ùKó¿¿ß˃½á…æ™Åôëw Nè÷D÷;{¢õßâ”ó“·÷v¾çWør þýýþýÉÛ{%u[ô„tœ‘Óâ‡y`¿±‹ñ°Å‡±Ë®ë]»äæ¾àÎéEä¸ûù‡ôcõÙèÅü¢q´.W¿c~é»ÿõÛs’×¾ñóË“á3v˜ºÅp9è¯ñéOøœ^äÕï1ŸÒç·õ2äêwã#¯òß­‹¼ñ¹õkŽoëzŠ§ßÖùü­ë~þ±Gãú[©O¼þÿµ#»ûÚÿ=š'Ç·ßéŸãËï÷ÇO¯vŽ¸ã÷ð ¿£äu]¯=?Ú¼¨u®7Þ”]ñüáÍëú¯=ã/Ð:‰8’øa_£}ãž¿õ–§Ç;×<ýÉG;[_ÄÞÅ‹Œ_Ü}ȃ¿ßùÏw_í×¹8ÿ‘'‰gÁ¯÷ä=wsþ®ü£c×i¸?¿ù~ì£ ÇÀIÚïsÄCößz¸ç'yGnÝ/mÏ ù]ôryiòì—]˜×%Î.^Ágô&~wãízdñªõ}ý1ïâ«øEÏà!ùsñÍóýÏþµ›<âÁ#4r|ã×ÏÎø­á.òïÍGõÉÿú¥ßžßyÕÏÔ#_׋4OK^¾|μÑkó@þò;íëož?œî9ôÉõÕ£ò®÷×sú{ó‡æô€|’×¼ÕýçßÈýE¯f÷샾»Î}]ǼúÕºcëŒî ŸýøÎnïo}¤yíÛÿüGù˜>¿¼Žcùwò—gÈ[ØKñJãé›þ“GùÆÔ}ggÅéðoô÷ÊG7®?ö½ìÇþúä’úÈã}xþ›žÓ>÷ÆßúÀì©ùDäØý<_¿ÉÏ8çÄýÔõ+várȸü3¼Q\.Î:¯Ôçô¯|JÇY|i¼žCïS'Ús\ÏžÚ}Ïs¶‡ÜZ3¯ò;ò¦ä{óû}äÛzMy‹ïéC×_j—_ìﮧW~‡'R—{Ô‘Ë+³û7|^½w½ûÅ 4îw0—óûäN‹Ëà5ý o=Üxú°ý!ñwð$þU»ô=sïOv}V¿‹¾v]—ç?Öqu>²îáu}Ö[Ý G÷ý­ñ«qï-®þcý½ñò­žñµëÿ±uŽÔß] Žîþ@‹ì“Þ§nü¶~ñÞ扼èç~qŒ_Û9Qþµ¸D'اsãçùI÷Ƀý^¯|¤¼>•_äþî ôø^pÐ#ó;y˜_þœÿ'Ïð[÷Î’o<øeGúºðclq¾öÛ®x@_ÅŸ7ýíóÅ‘â#íº¿×¿Õ7Äú¡½ðµ§µ×:xã¤þ´N;\:nÏãØ…8ÄžZï©_¬½•oewÓÍ›ª/ôY~Üü¥Çæ¿î{«¦®Ù:äcã^ÏÿT_óÛ_«3ûÿ­îûµúpÇ÷2Þ×zî˱û9ÿ£ë»~w„7n¼ã·ü^?d© ï9×oöãzò-Ó_q N)>gÇôÖó]Gßò¶çyá#Ç´ÿµï^­^œõßš?8ñìûæ륮ò|GÞxÅëï7'ŸíWý]ÿ®½Õ½éGõ7ú¾ýÊàKý(ÿšº]¿k²÷ÂlþÊççï½%|é݇ݸüýÜw®û>Ò]çÜûµ]ýøžWóJü£~¿]Çîøãä3ûÞ qëûâßà„Æñ©q]<÷<8‚½;Â+ð;/ÏÑxÙ:GÛ îy]?ûµcû÷rÜ>ðü|Gßð¿Žô/¼kד=¾BÞp¥|5×—³~pû›—Ê n —ì³üÚÉç{ãižM.üVx ­h>îoG×_óã9ìÝõ=o{üNó§æ‰ñ³¯ï'ö¾Ô‘ãjžWÿö–Ÿ6r_qý‘O¨²ú‰§0ï9Ÿ;Òí¦Îõ¶.ø‘ϸÿÍ_%[œŸúXWŒ‡)ߪÁ³ýlÔxÌ/ð¿îç÷2Ž½ÏÛþÄo<êâ­+¿ñ!å—ÛÞ¯âXÿÖ^ßö:¾ðlÝ'ç·ÊÃ%¾–ÿn\bÇô?qoò1óO•/m¾R¿”:Ùìâ?3î/nîu=¶~£¿Ú1>þ^¸sñ ?=ü¿êGû™ñÊs¾‹Þ<Þ“7z¤ŸÚk¼#Ç>¿ñ!x·ë¡q-8ÿ»ÚEy«ð@{/œ_£ŸÁ‰^•~éù¦~кÍxDúlì>³Ë—ó×úrëЩg¿½×ö¨{k¯üUŸ×zg½Ëã½r8žœSjüµî­]qÕ¸´çºÊ/Wþªí¶OÕYºÃýäÀ>’·=øeúâ(¾'n­?ÉC–ÿðÇéÏ#¿èº)vÚü¬ñ¶q÷kÇÆßÆ÷æ­—¼ýßcåù=¾àXñpñ?üó£~ì¼ý¯ü÷µc>áÏòÓìŽßw /þö>a¿ïù½ç\ûßó{®O^Ø}%ÇðiqÔ.ë'èopÆc¼o¼uüOßÏ~ìû‘ºóp ß]_ÜfÞÈŠ/‰Ã}ÆçH.âvù~S<‚ãß¼¼´Ûïõ¸ëÅòÓnùÌàËÇ÷æƒ[ûÁ8j·Ïql?zl{oÏ?û†“'qÈ|ø>ÖÖîÞü}óêÖÿšG?•÷»ñÕß&Ïß~¦®+¾&G8±¼¸~ëÏ.Ô¿âN×±#ý¤OøZñëÆ3žÖýäDîor.ÏñV§.Þ«cß[½$|rë:?ðëžÃN‹Oà,ÇäïT_ñûŽôÚuò½â•ðŸ]/غÕø~ÐøÌï_Õ<¬zòÏ¿äùu¦Î÷ßz|Ëï¾6ÿo×Õ.ÞìäkõÄ¿õú·z]•×›Þ²Óßê–©»õû©ýÎgëIÃáâvx¹G¼^i½»ëGvŸxªÝ;z½ße¼¿Yœl<=ò·ÁwÝoäñ}«Ôûþù÷ì\Ýç9á¿‹·‹‡ñ¡x»¼Yëq΋ßx¿â綜½÷Üù«òJü–úœ–ÿW‚_=~À‡pŸùç[?‰ž-îW~æϱ¸ã%Ÿxð´Í_‹›ÃËmýdò÷­; ZžšqŽÿ`oøy×7iþØq;6¿|³£7>…üZ‡tìsÊ“¿ûÝsƒëë•?õÀø-vûX·l¾µüÿÈ;ä-ü•ë³Néñ^þÂüG¿‡#®ßÍ;ç¿;ÿå)Ë–GmÞ]\\üË_%þ®Rÿܺõ¨Ž7ŽíÿÞ²ûO‘—ûÌŸybgü‰ßá%ók>‚û§:oóÊ.‹«'ò¹Ö9ªÇþ¯^™7öP¿ná±–G†Oœ½„×]ý‚•¦'ןÈ™|s„?çÉÏÿôšÞ—?ëQ¿ÅàÇþkÍ㯶N²õÙÖš§ù¿y[ïõæ±qÊÿæ×ñúû}ó‹òü£ãWÖ5<ÖÝ™ÿ“ËÖ÷³cþžŸ~áÕf‡ì¢y0¿b\Æ¡ýÆ£Ô ç¿éƒøþ©úõØOµq•?pd·Žü0û¼þZ'¡^7»coåñ›Ï‹‹æ>–y‹³«Ûûå˾v,/^~ùËOWßéËýÿCyÌèíÎýŸßßøóÆÛù7qöì÷ûÄ=ú‰}à‡äIWp×ü`yØ»ï‡7V˜¸²~ÑKqìômû‚%Žt]ùÃß³þ\¼/ø}¿‡}ì×Ùë³ óèwüŠëÉÏóÍkñaò“ùqмœ]ý™½…7Ü{kwü!¼ûë>ÌŽò‚þΘï·ëãw·Ïýô˜¿2µ“ĉ¾O³<ŒœÊ«ˆ_oüˆëù)q4yåp…ç¹Þ¼¯ñ9w=¿6ß ¾÷jÃo?ò™·zVñU×·ô¨_ŽÅko~óíØç½ýßúÞ×Öót¼oº.qh×Ó_r*þ­õ;}¬|Ù¡?¹ÑþÏõ‰KÃMò‘ðÝ:¼ßïyß¾Åxº¸º|tq þ6k\ñ{óÎàÞÇ:lö¬=ó|ó´ý•ÎnºÏæ·wßÎOþ»Þs®o¢OßÓ7öüV?‹žÿ)vØõ >‘½²KøÈïÉWÌïŸo÷|ýå×—'_÷gægÙ“ùâÇ‚Ãçg“žÑcöf^µ+?/h|üTx¢ù­ÖÕã·^÷Iá:Oô›ÿ`o扽˜Gr¢·ì‡Šƒž —Ò—ÔÕVgãÇ﹫èÿ)ß×nê ó«åCõWÿ[¿q]ðöký¶yMOºxüÞø÷úÞdëY‰Ó}ô±®îîß{Sòuþ€Þ4n4¿è1ÿX/|ÎÃß³¯âDü–þ°cúþ&'þ+¸äÁO¾ñ•=¿½¿–GèOñOpP×W¬þtãê: ëÚ­GøáæE~‡§ë±ïÁá¿`ßô_ÿËWt¾çgø±ø‘ÇwCüž|ú±ovõßž_œ*N‘wìæ{rh~Ðú?¥=vÅoó?®ç7Ã×ïz¿»ÞQÿÙWxßñ©ô€ÑÛä;³£›¿ÂÏŽ¿ Ïµwz[{>7p ß;|Íÿ¼ø½á‡Ä×ë—ç??øÊÖËÍ«có‡7¾´qæχœ¼§¾÷¥_¿‡ë®oï9{ßÜ<ÁyôHû§¿ö;zì?´~\·&ÿ¸ïݵýÖš/Gf~õÎð[Ã;ÁýÝÇsï/Þ8H;]n¾ìO?>š~±›Ö½ùþ”ß}ìlë3[çà÷èçÍÛ¾srσËëïšg4ßH¼›ŸÿZ]­ o¹8L®Æ—ºzqÿ#ðòÌõ}½uª¯Õ—úÜǺ©ÆõæÏw¿õ«Ë7Ä#82ü÷žk~èpÆâFý&¾nÉ:‡ï;oæ5zÿ¨Ÿ¹Ž~µ½äÕã ËçÉ_äK/ùëãý—¶›ºËƒt»LÐúÿ´ùá·µ£ÿú§ÿô?/ÿx•¼ŠÛé‘sz!NõX~Äyó€·cŸßxÎïÁ Æ%ßJ¾6\ž¯ûæ<¾_û7á6ñá‡üNƯu<ì>øöÂoÓwy ½+?Há?–oš~4ùìÖÝÅ®Z?zìC£n#Ne^üæ[>è<ùÓã=ñ€¼›‡Âe/åÅiã0¾ÆoÇ·8Övýž8Ü÷¿¶N•üÃkïÜ<”ç­ß2xP¿ù#ý ßþ¨{g{Þ]oí;Žø?ü¢ßoœÛÓù‡ãð—'Ÿí§©í\û§?}&áK¼£~8‡sñ¬x<|&~3<êpT¹ôÜõá…GŠ_È·õ›Æ³Ž/q²ïá6îuüóòBþJåó²Î¢~t~*Þá×áÇÖ3‹£z}½ïŽ{¯>8{û±·òêpdò É;¸tõþŽ%çàˆñ4äL®x*rͺ’›ïÆoq5ú¤½}í­>”úàW÷c‰›ou®GÞIŽ~¯¢÷;;Ûïâ9_ø¿îw;<œ½~ÞsÆ{¹žß‚ŸèGø•~§öñ†q„×ù3¼á:ý¡â¸<*OÉ.ºÞƒ±‹àÓW>”—|Ê;Ïïÿð¼ÃðÜV^ß¿©sï©Oã/Ÿ~ª{oÒ<¿öîùêñï'jçôaûËÓ­‘7y™ïâŠÊÓïæ±óý’Gí¾âÕÚKŸ+žñ›á·_Æky°8]^?0ìñ…ŸçßüjýOý ÜðÆO–Çt?}­œè™ëÌcâÞp?<±÷>Ëw9ògÅð¿Ã_5žx®üâMþÁ‹­ço= ûëóëWNoÆ3’GqüÅ^øEqnhûÑo<Ã7x—áyx¢üvò´Ù­<§ë•ô ŽL~õØÇÝù¿íªOð3â;ûbo®ÓŽëõK{êì®4ÿô8|ýüVpèŽÁAï>õX^ÎóÃËõ{ä÷n*çò(•Çÿ¢½õC{Ž~ï|õèÿöïí˜ù}Ý×êäÒïÇ,Oá'ÙÅé÷ŸÅ1þÓ8Âë|Ÿ8úXëþðèêœ~Ç¿ò§?ÄÏŒoH¾úŠkÊ77ÞÑ÷õ!­ÿe½×òMq9~?·¸üô5Þ–7éú÷‘GpìãÜõâZã{'x r2î7Þ~Ó~å(nóå—ø vŠ—.¾¤¿ÍCZWÉÿ÷®ùx!øîÛúßúG¸É®®Ã…Ú7_ž;<‹¿¼ÿÿxãÿãï¹ß﹫§_û«ÇÃÑðÿ¾ñ¨p—ú»|‘üøßàìáãz©oïzz‘¼[†#Äg×¹Ïsâÿ›.Ä;¤áö‹¯p={ÆÃÄ^Æǵ®€Go^øØwŽ|á qÉ}åãÊç¿ðõ]µ:¯<…^Üül]ûOþòxß´ü…£ëòûüìµçý‚Õ¹<ÿž»¼Ãïˆ_î7oü—ùå_àh×7nð3ôékþöíȾġÇwyœ“KøŒÇѼ9ò/o|¬£öùQó!È:ˆò¯Ëc^ðÖÆM¿Î^¶nÙüÆß/.°w¿ëWóól^ØExÀå3É£¶.›ÜÙ5}#göÈ/:wŒ¿§oß·ÿâ¸qGÆ÷¡ý¦/žÇ¯Ñ'þ'óÿ¨ñƒðÈ›ž×ŠGàˆâ‰Ö}ØWë!É3^× hÇyù¢ëïêÉÁ+z}œË/ÝO?Ìc伸”|÷ûúÃò´ÉovÙzIøîoøXÏ[þ:8½y×ëºýö‡_Oþ_?ó}âöƒßÑïà›GRÜ°÷ ù<‰üR^ažÙ[ý+\žãñýUóÜÿËKñÃâ'} Ž¯ŒÿÅOÜø­dWâ^÷UÝûy‰£òÀù¯—þ/ÎëWqº<€ý˜ÿæÉp"}­ÞÂÑð\"n8ú]í>ø¨ÏNzì«çè>8´øËïÅmÍ·ØMñOpÍüÿÅ?š¿ò‹å¿Æ¿g¼å¹ñ[{?¸¸ôúõç§:Ö#ÿ·ñŠæ×¼&/x]GÒõ1æ“žÒgq±ø xÀÿåÙwë«â¼ûËk…_ë÷FëÙáKøF^ÁŽŒóÎíŸ&_xͳû¿ù¦?å?Ë÷WOܧ¿}>¹ð£âAìp~½8Å|Wý3ùº¾¿‹cŽì€ž„7‡+áÉÕÏ’Ç<Ö§ñ/ôÕ<ñ#åa«Ï~¯¿)ÏøvîèymÿíúæîoþWV»k¿û\ǯñ©•ãÛñ?!gú˯„¿ÞO]Îþ³söE´Ï?¿ñbou×¹~Ó/8> >Ü{ïâ%žÀ¸øþ¡x~ˆ½?xKÏ•çð?ìSüg×ìÿ%O}´ÏÞþâ&ñ¦ÇúËÔ¡_ßã Îy}?ÇýüÖ«t_ý€—Voj¼5¿ÅÉ_Yo±÷@“?ð\K_›´÷†ßË å8¿è˜çï»)]'#u¾òûcý9Ò_çõ»õÎ]÷–woÔïÔò—~'ßâÕÞ§_韺ýx^¼¯:ù%Îdì¯r„+ÃÇ<øsvÁÞ´o~Roëþ‘ãÝ‚?]·¼ăj§¼ŒvùÑònúŸüðñ]‹þÎoã5´k¼þ7G¿»Þ‘?7j‡¿ îðûÆa~[¯z‰7œj¾üÞcúßõ¬ßwüú™¸!¾ðwðÓæ¯|éµ÷Cîß¾.ä"‡[ç*MžOvþàèÕ9ÅÓð­ïo_6×eÈö§ùmãòüÖKÙsx´G}°ñô-N5ßf§åñÄ×ÄÃG/Ži½´ùDó‡µçØç½ñÜ/×½Ö[+ù<Žäþ†"ï~¿{ëîÊ—'þ=ö¦çð…y3Nö~~ÇÖ5µÃÞƒWv”5/u|óï/<à[ÿÆÿÑçäS³ó´Û}ë§u”®ËŠ¿îú£µ{ö€ãÿ ÿßsíG4ÿv~ò±O‰'0ßÁSüÌø:~þ±?‰qÀ+ðWðñô;¿¿í‹-é~1ß×ÎñŽäÏ°ñëg G~Ÿ,/NŸùaòfüjê.;†¯zÄCròÿÝçýòÊßÖ³'øŽÿÕ/x°þx¿Êïx„kw~å…w(ÿôøž/ÜÆ/²_vê¨=öÉÞÙ·þ²7ý2NqÌüOv_ɾ7±ç&Ÿ[\õ\ñBüë¼ñçÅçÆyçð×þ™^6ž4¿,~yÃ)ÍÇá®ä?<ÿ‚cÿæcyÚ—~>ö¯zÃO=†¯yí‡y,~b×i—¾ÿPy§n0œàÜ‘ÿpÌÿÚ]øsv w¿áEçå³bwû.}Ž?)ÏÿØ/ýmý|(ï‚¿ÈÛüÝ}{OÜõúï>ú$>&^w~OjëÉÃx\o~N„;{¾öåoä@?*vŸ†ï.>“_ô{µ«÷à_\w­Î^k|•ç”·¯ß­ÿ,_Ò8ðÆã½ëëOêÇëì%x„œ^ñ;­_|««¨K¥žU~ô3ÌSø¯ÅW¼ñ‡_|Œßžµïý.è9|OSçþÇgðäÖóŸyô“=““yhÜ‘o¥Þý}ä?\c<Æ-^‘‹¼…_Wè«ßµËO²“æÛâ{qRåÀ_•‡Ê¸Æ?ùþäº}?’_r??X?幎ñg}ÿDþ½3?ü–ßãWßö~ãqƇy¾ÿÍø†·ý$f·â£|^f÷b’׬ni|æžààv½~¬§ƒÈÃ<ÆO«—./&¯ÈnîtÎ_²íñSðEp"<ÒýJßêÃÿÎî%Gs$ëÖs¢"+#oqqðˆÈú;šÉÑ4FMA#ÐÔÑ8ÔÔ”€²gÔk ò@Þ!ø9i4Û¶/k¯m4.‡k=‡ž~®þÁ>R÷Z¼¢ÇäÜ9\¼¶ýŠŒÛ}¿Ú¡Oô}'n]ï‡?å ìÒ‘_vnüÕ»ÆÇ¿ËËÿûûø ~“?3Ïüý!?vèhÞ\çÜsÅíëGìéZ/m¼ü>»Åÿ5Ï¡üXüÓÞÇ9ÇO§½ç~ôkïÃùîýó3¿öEú|ôÐ{@ö[Ú¾Jî;úö þk>’’žìÿîw4Ïþ/bçü¼þ%Þ̯„/_\÷{xò«NAoðô$óô¸ÎýÏ—ÇKðßÆœ}é ¿.ÎÑãæìÔsÌ7ùžþ½‰[â’öé¹öÉ­8žþó_ü_pÏpZìôâ=óŒcx³~ö¡^¸ýÚèþ„ïë>§ÝïT;óžã¾òMÉ#ûý’k?îœw­»xÂc©ßô}Ô w=ùc8à<çûL^3þ†ßâ_Ø \!NÀ#ð8Fò^x‰ßi»Æ7Dï^âæï'‹kôçopÍ•§¶ŽS|ä\‰a—å·gàJ¸–üÛþ†ÜÌ«üU gìˆþ˜Ï!wyTŸ£ú²õšäã>ó½¯ÀчäwžM\éû$Ó'¼ ÿ'Žåœ¾|óótžûý´ûüË‹â_ÄïðãÓÉ#ùüâlxÕñÐÚ#?rÊsÞŒ[»äzæiß?>ýØ{wôG?Ã׉ßùñÖ¡ÄïÖÝÙ=9ËßÄ3í8²ëþžüæú^Rù¶#ÇoüþO<æ'È“~žëåK/Ñsûu?¹ÍÏîÙKýMë>®K½p|}(ï¤N2ýÑïøyã΄ûØ™ö‚ë–'öýÈÉU»üDp <ÒúC÷7aÿxƒ®óÚúIýr?Ò}U·ÞSô›ÞÀ‡â¡ùÅðG­_…/ºò»ò4©/>¾7¿±¼›ýÓ óÊ~õK;켊ÓŃ¿x¯|Tãhë‘꧟׾c=†G_~ ŒÙ¾îøK|§ç†Ïï ߊ۞säµýNûÛWéÈmûz—ëá,ão>ñ?xüÿÍÓ=›‡¿-^áUÙ«|˜>ñ_Áã‡\G_ÃË­Rü ŸðêÆí>yAýLüƵˆë’_ÏŽÈ%yÒêÂæ™?!Ÿï·ùÉâtò*~¨_häIßÄ­ÌÿÖ³¦…ùæ9Ñ“í_•8¶}«Ísûažáàðd«ç9ŠsÍKıà]ø`õ°ä¯Ý?pzh^‚gµ7¿iþÅõ༾ïþ˜Ÿ%?îzàæ¥p{ߧš³›3/ÃÉCŸáÌä»öw\^(®™ò!ÿæÝú‘úèp‰¸ñ7õÇ}Í<Ÿ¿Š?\ü¢§Éo‹×†‹ʓ—gñwðŽçÓÏÔ¾f>»Ÿíxìäû«UoƳ¥îw‘ÓÖ9…§Ø¸È Þøiþ¬õp|RüË[ì~ûr5Ÿ„Gù£Ôñ&g8(öw½oäh|ÆË_=¯ñŠë;2¯ä®þO¾âMpÛÞËeú Ÿ6_oK.á릷ü¿›8;ýO³üÿÚ#g~¢q-¸ÿ-ñâ-vtñì²õ òã?ÊÛ¨ƒãõá8ÿ‡ ø¿;Ç'¸Îý¼´ï>ZyíÓ®îÿ·ïëò•ä½ÇÑ‹íÉŽÈ«õ:óÛcývyìä­³/~4õ…åÃáùûÞË•„ÙúGöZÊîéYp’£çÿgóv/îóSžOïä]ì^?—ݱ'íÆŸÕäq]Ï8yy~ë,á÷þ¡}ãOÌ¿U½0oOü…몞C¾Å¥ÍwÓ÷õ»0ûþiy¸ßE®ü}ä›ÿðoÚK^1|NÏéQxçÅ_zCÎæ#q¤yÄcÞüw8?øèñ;†É#Ÿö›~zÿyy ½qäïÅrç7È-uÊ­»•§…ƒÙür­Ãò|øß¼i7óÛ÷‡è³x^;Qÿܺ0ãäwøCö/±GÏÓ_ù2ùÁkâ(99²Ïà¢ëGý¯|#¼gy¶ýŸŸäg´W?O_ø9ùGù„®wa'þ¯%o¹ô>øý‰¡ßÁ×µ‡§ïiw¿˜ÖÉægø_z¾mò ÿ½yæ¿à?¸œþ°wýr_òÒ=G\Öýe/‰+×û´ä|ž¯>Ì;yůMŽüGpÅÅŠŸî«?ä—ùiý îúýZžÌŠ×ŠÛŠ›‹ËØ›~ˆ÷æ]Õ—¸àH.敜هvé¼Äž¢Ýçc86ã.2¾æôgñ*¸|ú~L‰¿ó úU¾ ^L\™ÂËï¬W¼êáäH>ò¹òê®^¾p79™?Göâ9ú^äo÷%Ðâ%ú(Næ¾ ïÓ'ó‘¼süXxù¾÷tík!.„¿.?:þ¾ om‘áµð!òxïc}‹^Žg$wþ>~w~ž¾‘gø€îçÞïô}fÏÝwˆ<·|XùêèÉå_ÙEñrýOóï§|²üªÿæ/ù2=Y^žþÍ/óƒpYpuãçæÃï®+/¬½æ¯ñ³{¤õmúb\ž'.˜rfßävV'†#ážâGÇ3Nßo¾°:7¾ñ÷Ýsø~†·àsݾ§®~]|—•pœßõ¾Äsâ?ãsà[ç¿çãAÃç¯ï~r>óHn“þÃÑå‡;^òÒO<±#\ϯñó=ò¯ÆCàÏð3óGü=„»Ä³s¾xW¹æçÏáäáP~—=¤^¼xzËÓ÷ÚÊÏ^ûÿ„¯˜½ÁìßQ¼`ßì¿u\x•Ò>¹¹Ž=óãâwã¡ç»¿øÕxø)q’ÿv½yÕo¸ˆÊófüExòñ_Á'×{MõûÅxöoy˜'^†|é ýǯ¥=¹¥¾Øõ|ËCÔÝÊiÇ8Ì/<]¾Â8[W‡àËÖŒƒé—ñŸë_p=œÒýr‡Wà!z’º=rïëÆß ÷›ç𥋋Å=pzíݼ·›/ø™~›ßÜ¿ùOÐušãß›=à ëðC{¾þ6ÿàçé…öÈГcÏãÙ·y7}£¿ßÖ×$ÎõûÖ_ãÆCVŽp'üÞRÿ¾ÓWÏÑÿsß[úõÍxRÚ:ö#¿wÌúœë{Gìƒ|]ÇNÌýføWó°úAòø¯Õ—æññm¾kž<÷¡î·|·ñYËý«#©ò¸äKË‹´«_ìvþOï´GÞô½ycüúµÎŒ¿—žþO¿ŸâRðɾ _ÀôRÞËïákóî½÷#ç½·îüÈcëCáÖóü½¯ןñùNæÕNÛ?ã]û§µ+>=ÔíꯇøþØ1õ¾‡¼ÿ»¿ëœÓ ¿—w(ßÕüõéÈnÅ v-n°ŸØ žºï,?Ônò·×^‹«äÆïç9º/ö½ú2ÿçÈ¿±Wþ#¼Öæ!xc¿'¯žŸI|¼‰x¬äæ¾ò ð‡ø”xñµâ¬ÿ§Ž:ÿlþø#<¹|DÜÄðú[ü@_ôƒ^x®üɼ¿þÑr6¯äÍ_†Ïx\ÿ>eëgù[÷¥>Ò÷~æçÃmüæÓvØødÞ»ŽÀ¹øA/ø;ñ„½Ñ+ý3ϵs×i§yEy¨ðtË×ÿ&_|Í<÷» óžG_ä•Cøì¯Áwó³ÆEß´Ÿù¹Ö%´îà:~Ç3¯ãmϸõãzÏÒ}p°ö­? 'øH¼­ûÉŸ}Ó#úZ»(¯Sˆ¿¦Íý†yÜ/³u úP>*|ÉüüCOýÎ.Ø«ÿà ü«x?ò=ùÿö¹ ÷ü¥~7n”om½M?èuëcxs8ݺñž³oã«]&Ž,®ñ§Å•Ñ“Çý‚Â3±cûÂÌÿÄ?,¾Ã…ÖOð_üFêÉ{»õã;z¿ûƒ?1ýu]üäð­£ëø[~ˆ]GУÊýŒû[òºÅ ׳O~“x'>›GújÙöʯ™÷ðŒ;†—»ö{pœ¼cz½¾ ?øµúê:íë§q'¦.0¼úðœÙ—ù•‡Š»ÅoÉ×_ÏÕïØó•_ÓŸ3>yÑp<Üd\Í‹|_Òþ[ý¤~ñÜŠ_hÝù >ø|69oÚîHž1Ó:·øÄŸ»Î‘‡¯äãk‘ïµÎÔ‘ß~â¿Z_q_ž;<]2þ‰|œç|Ç·šçâ!q=’ƒù.¯éwr‡óƒâuæqó—|ûÂ9çþñÍ솇&~‰]¾¼ûqðØåUŸä÷ÅÆœxáÆòð_x¸Ö»OýÞè›|À¸7ËÿF߆=ç´7ýª¿6¯îkÞ‘yÝ{ ü‹#=áêÏZwLÞßõ3]ÿ=;äͱ߽ÿåzvÃÿ$/¼ù÷•Ýv¿¤â¢ñŽô>~v|‡º5 Ÿá‡à ÓÞµ_<‰_„÷à9õó3¿[Wyô²ï™ïz8Žõ;¾C{ç÷îã4¼©]Ï5©Ë ÿÓ?þþ™GöEOØ{xk.×±gùéßɾz®=x„ÑWñ† ¿´u1ì‹ÿ`áúžÑì‡^ÑËäW“ÿ‹;ô™ý‡ñ§½æ©^þ÷}èÅ/í‰#‰ï‹ëìÑõäi~kì,üòµHìjü­¸éºòc¹¿ûÁWÑ‹ÖUןðKË‹ë¯è§|B^âúð]÷0~Ø|œù›?5ïôMÇN›oœÁ{Nq®ùküÑý×ãÔžùÆ—ª{{~ù§ÔÙç?’O–×n¿3® ·úŠô•Àþ_žØÉuäà:vþwãö{yÃòGp';H~x­3 09‘‹û"ǯµÃ^g^ù‰ò„=ª_™Çò˜Îù%óŸ°ŸÜ?ÿ&?WÎGp÷êÞÉ_—çD>å­»ï¥ðöšç%ä‡goñÛO·ù¿ëèipáü¿Oþpµu<Æcý¿xžß€ßÝïˆÄÏÅÿïýŸòVÍSwìw߶Ø:™qÃsøÀðTÛ/M;ôºv©ìÇùiïó‘ÏŽG_‡÷à;x¾tÄ žþo#í´ýâ¾sôÿþ>üxƹ~ù?þîÄ£–çäwÊu>é)ÿήéCâqãþcë»é¹vÙyò³k¿¸ÔÛŠk——²[ãƒ'´+¾¤><\è¹ÆÇ¿ðÇòCvâ:öêzzå\»üHù‰òSÆ­¿Žåç’_ûë¸Îxÿ¼·=»Î8ùíÕUàóZ[¿k|á×æ·Í¿äùOüløšÉ|b×ó÷Å'ú_9åy•Ç[ç™\œû¿¼Æs´ã:zÇiÇü‘kxÍ=OÜ ÎÏV¾€ÝwëožK/S—^Þ¾qvhÜåkƒ—‹WÊ9–GÓ>×Uû|íõèºäÑ_cgãóä{ð&{.G.ÁA{ÿ·y¹vÌûŵú GóGÅcñ㛟àÀ­w¼X¿ïXiüþo\Åsübó´ú®«èøè¿ëåCæ¯ø?ñq¼¢ù„OàÜüáiÝg¼•_æósä?üf=‚~Áßô…™O×Ó;òõû¹ûNÑ_GÏ=×}4îàù‹§v4oÆïwrÐùEçÛüú~9â©]W¼V<Ú¸ñøq§~Ýum¿8÷)ÎÄ~‡/g–_òÇüô‘×_ÁïoʼnìE#2þòfúÇOk7yÆ…ÉŸïÂÉ_Çï…ï{]/tíï“u^ãSÂ/®‡{·pÚêéâEêå—~ˆ×âŠsq¿ù}âÿäLîä‰Ç ÿÜzäâ{ø™ë{€p®~Òw8‚^¿6¾ÓŸæUµ Ï-îÏõÛ¯~‘GÖ¯|Íq8Œ¼µ÷`—Ó ÏaŸô†>f=ùžçüÈùÊÃé©~ÒSóê¼öwÚ_Û<Ñçžç<|Þõ}òѯÔAÊ£ÿÍ+ÌŸ~;'7zWýó<íj¯ydÏ›§>å®K®ï•‘Cò7yâ÷¬ïS¾L³üïåïÂKï=óÕz!=1Ï÷íÁÁñCågçŸì¸üKãXóºÎCã¤ûzò‚ÉG«'âÿ@oé¿#ýI;Oyðõ>aóú§¼´ùXóšÆ ¿·¾Òü¦ýèµG¯émò÷ë;[áÏöÝAútîÇSì{Ÿò ð¿Oßß:ø…OÏuã›á»'k=¼«}÷ÁßÍü_>pækß=ãpü^=fßü¡#\ÂîÉ7ñ¨ëq®ï‹Õ_´ýœóÏ]5 =q>WØ_âèõ=e|;ÿ·ð#üGyEü¾ŸÈï©›8¦Þ²çGñ5ÿ;ëwŒ7ø{u‚Ä÷ë»åüjê­;«_"/ý0žâþ#¸b|ùŽþ->³ó3¯ßcÇã¡è }ÐNý‚ñóOÆܶqðCäáè>þMø}íw\ÅûìÊuåIéKy>þÚ¹ÿן²í±3ãi{Æ¥ŸÆG^æ=v<|?q­ƒ6oê@Á Å¥Í+®} ŠÓcÇßâ¯þj{Å{Å鞧ÝÆûÖoȱzâw~ªx#÷½ÕÞ“·n¿Ï÷{pÊü[ò"rþžû[wZ^žõ oñƒÃsÁ'ë_Æuí÷FNÅžS¾¼8£¸¾ò}ªEn«ã'Íošÿâ&ã#/úÓy*Ž//ázþÖïìŽ^oí«rìuÕïæÛ½¾Çòã½ÿ!ϽÞ+)^ÖozÆOÐçÅ™·æ£Ó¯æ5ÎG´ë¾Ä×ÍÛé§ýø·ü¹~ëÎy×·ú}ï3ÁoþïûàÓ­ƒÅ—žñì»Éðdpå¾W7u=\„—/¾Õäåߢ_ÛÇ8õ uàog|ßÈ·q|Ësi~H¾Óùš~–s<×ï½X¿;?ín?"ý¡/üýj¼ryðÍßØ?äyä çÈgðKüPüÙúOŽYWtíþdxªüSòþùŸàÆ®'˜¿3Ï®;Çá@óiÜüˆyôþß¼6¿ç÷Ë£Äo\ÚMœžÕï–?:¿_û¥¨¿«ÛÓŸcGßéOý\òÞký¨xPž*qnï 6îu…ÿ÷¼ë#êï;Ú}Z_ѺEã/ù—èý®k¿žpuùr#GyšùÏpõ/<ë%O~,q}õõØo¿sµ÷Ù{¡áƒèáü}ª˯uÝPñ’ë“ß\¸¢<Õ‘×÷âùó»ø°ï¢'¿îügO'ßò¶µÿòõÅ¿=–d·GO¿çØ÷+÷~ùÿ^ïÓ·nRü˜ümò ŸÒ}úþïôòôOÖu2]Ï·~›ŸÚ‘ñÅŽ?“ò‡ÓcñÄ8“KâÐp]דÔnË÷§öÂO®ÝØÝŽÁ=Wþ"¾²Wãiž\7üU†ÄúýuÌ?ùâe­_Á©[^òÚwÓÕ«~í;öŽ'©7¯ŽîÿÎO÷}%ÏÅ7‹çÿÛ‡èŒÃùÚsÔOã9ú²ßãú^ÊüDóËòPå‹èi×G„ç)®¿ø©Ö™àµÔ7Ë›.N‡ÿ»öÖž8ÌO‹ëåÝÄ÷—×Lž»~WoÇ_z[>­xαuë¶[>ÖxʯÁ»äUÜ\Ï|Ëó®u2üÑÇì-ùëâ(}`ÿúIÿÌù½Ís®zŽëN?W ùãŒë‡q“‹x¾cx$¼Áõžqñ«~E߆è[ðù[Û¸NÛûI§pÛÖ‡%_ØóÌ;/ËÎé?¿ ÿ™¯GÞ0öÝ:èô5yUç¹Ï_~Ð|4~bõ¸äo‘çôZ}æÜ·ï…×ÞROÞó2ÿ¯^9ò“î+~2>y¥qÒŸÆÍâÖúñä™ÛìôÏû‘Ã]ì•}ãCÜ—zgëˆÿÓ¸A>ôòÌ“÷Zg¯uPüQê³×û-åÉèEê¨W›/ö¾â\ý=ãôÝ£î·|÷Éߛώ½h·øÖyê×:ÇÖ'è ¹šçs]÷Åéú³Ë¿ùtðkÝqøŒùõÆYí×ÿ±KrÃC7~]ë/á°3ßW‡»†Ïÿ­oô¾÷Þ³Á#§~wŽ¯<íŽ?ôÿóœ‹uî:çð¦váPí;÷ÿô‡\†§ÌOüüõžqìrqËyçÕóÚ^xÅÙoí'¼f÷qzZOráYöœ¼é©þwùßðþýÂõÝ ~˸{_q"ûJ^9ûJ|úVû*oÌß—mÞ™:gïE˜Ø§÷ӿǾ.þ‡<Ô÷ñ(Æ!уà·íK”<}8!üʵ® ÖòŽ]¼ã;<¦_Ñí+n~TÈóÙ;ˆ?®‡Ÿ´gÜìFÿÛïðÛ×÷ÍÓß‚7hþG¾ÍÙ'="o¸‹\ô+qqëÙµŸ¼äiÿ‚ëý.GýÐNñª£¼'|Ôã¾®+oY<”|êo×ùý¯ûô{ÇM>äöÄÓ‹æ£æ©vi<ôÝx['Ô®y)¿ —†þÿº^~ÇÒ3ãJ¾váN×uý“~Wê›—ð,WÝŽ=¤ž¼öør+ê>~½í³WÏÑŸ'¾ ñ®yûŸðaìöâ/ù¥ò2ü™y/NàWÉ¡üóÄË'wþT'ñþ-^轸ܺ=2å}?“§Š‹Ãså+‹Ëà8ÿ?ýÝýÅwmÞ;òÚ¾õmß}Å•Ú…Gݧ}¿÷¹ŽÁã‹cGÕ©û]¹Ëó»ÎÓÿÏ}x€åýæéÈna¼áÓ®u,ìOS”zøõÞ,~H~Dî+O§ß{½êéc]ûÔÒ÷ê]q\xÜéÜè½O8¼Ñ¼[SoÝû5ÉW¦/æ!þÿZWg§¾û-óXü2\h~ÞП¶/îxÿê-zù£úÏo—÷HüÛ}Íõ?uÚñc§å;ì’}È›Îó¿GÈiñW\)Ž)~cíÒ§ð¯Û—þôCrïE±Gq\àR㊯}6Ì;F>üQpj÷á_¾·ëȯøœù.Üïr/nÜO‚Ëû¾øχú;}~È;/\_^.|æõ}bq…I)ÿú-×íýéð×{%á;/>­ÇÆÃÖÉ‚ã®÷Få‹æ7¸ºïóoAò–½7 ýòõ­o<É»ëŸò”øã«®_ÿút,zê»Ïøø‡ ×á÷ÎsŠË¶/º:ùé¯ýƒ®}#=ç´³}€àJí»î´×÷v¶?¦þû>¹m]æi÷Ó‘«uŸŸâ_Ê×nÿ²ð.ôiy9;?ázÇÏoÑãïü±¼œ¶¾›¼ŽŸKÝsöq^õkx$|÷µ¯UùÇæcOõlñƒé99¶Ÿ®{À•Ý‡äé÷áíoyÔφßË3ïp‡øF_ø%zaÞù)ý䊳šçñ ÍkúÿâÛ§x“:öµ¸qn§_áŸf'x>~÷Œ{z}žg?Òù£ÄÕ®'¯èyäoþØKë»ñ»Û¯IÞ¶õ¢ôå´ã÷®›3ÿê”ãÿ¢W½ùÜÿ£úA?+ò…OÌ‹þÓ7ó\|½ÏW^\{Æ oÓ| <Ðøçùæ=õˆ®G.ÿ½÷†[Ÿ ïéÇøor=ÿßû ì¸ý,~ìî{ââpFãsãxøªé³çš×Õ¯Á=æÕx‹â··9=aO÷?ÉÅøŒ›~<ð½[×ýÚûäæ¥üjÚ?vðý¡ý-q®ßSZCÞÄþø-þÃѸÙ9¿ÞþZÀÏxNxîñ*©‡LŸš'_š·æÁ'[WÀ¿žûÆGµ^Y\Þ ¼ÑµoFæwy—~ÑwóaÞÏó®:3žÏ~î\½utcÛ‡[ý®nîþòÎÏ8¶®Î:óoí{>§Ý½÷sþÿéÜ÷Éõ§ÞëC?vw~æÉóÝ¿ÿk÷\ç»F}ÞŽg<ŽúqÝçºóûð²ë<ÏQ¿é7;)Xý¦õ p.;‰½àwûùÕæçáÆ¿$¿î>­ãûàƒúQãc'ÚÇù%ýbWÍsõ÷©þºÂÕߧûƒ{û½›k§¸Ê§.X>në™êïøÉÎ/ùº÷É¥ñ1yBýýUÿ†_øý3_Úƒ¿Å¯ú{óÊŸ†·Ç3î;LÉcöžýÇàGò!óì9­‡–OJÝ÷ªãUoÂÃ]ë)Ãsu_ϵ¯ßGÎÖ½n?>õõ¸’>‹áýyƒ~“›8ëzö-žË£Í[ê ;ÆN¯u3­k›ßÊ…^éœa~ÃO–¿½âóéÇê=ò4vézãoÜßá˜s½z}À΂Ϝã?ñ­ç9Ãsð"Üçº3Žá8íº?ý¹¾tä6œ ÿ:—ðçi»}ÞO?|Wó%÷=îŸÜcê©O¼öõz|6»â犃à úůð7å <Ïõž§öÂ~ýŸÞºßõ~wóú;ÖŽñðâmù–äÙ×ûܹíÂ]®Ó?!^Š“ì]?Œ‡¼ÅgñGÜ!7~‡hž*¥n4ûÎó®÷ýÓ_ùƒûÄñÖwŒŸ~4¿æ‡øõà¥âµÕãŠßÊ_ÃgpÿNžäæùð‘ù ¿[žw|lâÃÖK{ŽyGáCò+ï)>…Gû9ü /ÉW¶~3¼úâ¢øN~p¼žöÈW>ø¿Òõ[Ç＞þXG¾üˆüø-ö'^°Sã5®ð‘Ã1p;áw¯÷[ÊÇ˧ákz@ÿø_rMž´õþÅ«äOžút­o%'r~ª»—÷ ^¼êÆíH/õËsÓÎì‡ß‰Ÿ^½/þäÊÃ[^áyüQâÒxúàï~éúî}1ÆÉÏÀá¯ý}rÝîçW\÷Tߧ?äÛõxûÂãC¯ý9ñ¦êïGþ×wÓ=u~¹l¥òºÉo®ü­çåûÂã—?ê÷`–'°ëðSÚ_ý€‰gÉkú#zÒºþâüéÿ<¾” ¯9»=÷ùN£çý.ºö_äŸôÛxØKpÁâå:ü8ÞvïY¹¾öÂ/<äqݯª~îâÙ}òÿù5ãàgõƒŸêú(~tæ¸ îÐ_óüDîçüuÚýÑ8Ì/%n.ß6oÆÓ<‰]ˆç=6Ï)¯¯ןù°OôìþOž>;‰¼¾ã[Þ’üÍcôl8ìüþ×éÇó¼ùçÔßèíÞW0ŸìëÌÓôWÜÓž|ÞuÁ'ã«åóŒ›^ë—só­_‰/ÃÿåÉÙóŒŸ~¶þÂŽÈݸݟ8ýø=Oã'wvÀ^™·ë»mü„8¾ç[ú·øh|䛼s83þ™Þ~ßY> ?ä¡]þ ùÒæ‡<õ~"Ïæ©ávÞß[—J6Ÿáf?ôî´»õjõ{üZòžoiWüéw ¿ÇÏòWßkÿááöž¹Æî¾Gú‘ò:“½¯ÞÄ^®|ã©NçX[¼n^¿±<"ú½üKË+Ç]ß9M=«üoñÍð–óÓ¿­Ç<Ï^<ý~ƒëŽ\ûjÂÎ]_½Ø÷ÑO?.~ïÙÿŸñßôÿÜç{E«ßÈ»ÅÑø±ñÝ샾…?Ám^‚/~ÿª=šö<ºûË—›ÿ/¯W¼ž¨ßEºöébW©“,_v}ø­É—o<nÔ¼fžð æ!|ñ[qœÁÀÛî‡WànÿçoÂ.¿Ì»ù#þÕxµ+Ž¸®õƒð ]ÿ³º]yfþ-òéû_ÃAâ¶ö‹ƒ×¦×õ;p©ñ6/KÝñâ÷‹/‹Kõ.hÜ ž¿¾§ëÅW²+ã7ï±ÛáoóÙŸàнO¼ 'Íï°+ñ“¾ó~à)†kÕ?äíå¹’7¬ÿò˜Æ5úC>É㧒Ÿ<}§hñƒ]zž¸FÞú\°~ñ'üñ¶îÙ<ªù]ùçÖáÉ»uå‹—Ø•8|4ž„ý’§q‹_áaûïÅ\ße‰ÿÚ~>ô…ü›w:–GÔžø¡#¿¿ø«à¿ëýa8–ÿ‰Þ —˜WÏ >O‚+—'_pÊâ^ò´ÖY§Ÿg>Ô½ùÉïñ͛ċé'¹ðú[½ÑÏà·é“ç?\WÿE?èù oqå±á‰6æËü'¯™Ü/ÐgúÁ_8çŠ?ƒ®ï'/?”—º?ù÷óïÿ:×;^yû…ûÅÝÇS“}…_äçzûšlótž³õæ™_$‡ø×p"¿Oé¯ù<òûAôÌxØ¥cüÃÅ‹$Nõ»²ß2Žé‰ñâñêŸé }Íõ×{¨Å—®“w²+ø‘þº?þvGv’¼}öMŽô[üMœÚþCÚѯä‹ßóÿò«f]ÉøšðÏË“Î<ü¥¿üVãgy.óÈî͇sú'®À‡òˆóûpÚ™×½?~ú±ÿÃyð"ÜÏÁ¡ç¼ë$·ÞÑó|÷<í9oÿøÓOë5Ý7R¿µç(^„¯¸p;{7oìG3É5uHׯD/Šùú“¨_û=8`~ùü_µï tîúÝõ“¿cÏæ÷üŸŸ4>¸¿|Yøò­Ó”GÇolÝ{ì¨x|óO6ÿçÊ+’?wÎÿJü¿öS O¼÷bâïÏØ»ëà6ó\pñ_æ±ã)ïW¼÷À«¸þÚçÙxÎs­kè÷ÆCY_|ó#ó¼|˜~°GöɿЋÚ'ý“Oó›Á¡ücù§½g¬ßæ'yÐæÃ<‰»ì™/v(î»~ÐqÐõâ¨q•§>íý7rƒ—ë§é}ç<¿Ò?rg_숿%Wò0ŸüˆçÇŸwñì~ ?ù¯®c·´§ö¾`øÒ1u–­÷¥wÉ#/yÒãh<æ§Ø›þ†lxy-ÿ^}‰þwºßþµ^W¼ÒÿÆ»Ô'/ÉC~”ø9h¼ðÀ®¾Ö9‘?KŽüsêÛ[[}ñ½ÈñƒpžãÑÓ8¾ƒ÷N·ÿåy^¿3¾z7œyÎ÷Þ<ž®Õ.ÜØ#^R^ÿ´ã¨žÏ_Ç]ü"; /ô™Ÿf·ò óü¾úŽù2æÿ ÏL?s>‹þÐwýÒ.¿þ°ëC†‹=þñ{áùºžWlÜâ¦x"ŽÓ¿äKã!“üÙ¼Ê?ˆ#üAüѵo¼—úÐúk^àƒä{Ãð¹i‡}û]> ï—·4©Ë,Nÿc^ÓõGœ3¾ÖiƒãÆ/Ñ zL/ô³úá>í›ßà°Å?×ñßôô´'Ž§6ô—Ý…7˜^…Ÿ*¿Û}Cö~¾Èxõ×uîK¾Òï9Œƒ<·qò´Ç^.< j”½Òsã”ϸžÒCýÐŽëÙ¼ìÿÁñ³WvQ¾»ø¹ù0}0ô©ëÈíoß:í§þ·ïVñCîÿé-ûg¯±ƒá6χ È^…ÇžÞÏmÿ„òEÆ-Ðg¸Òó²^`úN¯Èß8Ù/ýo¿ùh<ãoÉÅs‹GâWg?§³Ïjÿþ{žÓø@øÉä£o±ëñp‰—óOì‚-Ï ~%ŸßË?Ò3zÞ^~;ØŽËÏùÔiºoà÷èÏäñ-zÙ}º6?ÍÇ=7þk~;uöåiìþÕO–§ðÚIžßºèì>5n÷Ñ_úûO"&^Ο/;/ÉUüà¿þ’}éëá+'—Øõ…×Ì_ðÂÆQ~Æÿá3vÆ{~ùúÈòäh^é—þ…ÿhvzÚüØuü‹ëÄ'ýáWôGüeâ„ûÉ/óôÃýä$~ ýq4nr,?^Ž\·>Ú¸Ø/x¦­;8ó¾õ*ÉC6n¸N7ÜwÎ}‡¤û;5Ž¯sÿü$ýfïò±ä£¾ß3¼”<ëz/³ú?ÕïÑ—g™pŸyǧÀMÉÇ“²kóþh¼¿ë⇷þƒ_r _´zbø¥ñQ™Ï='qv~ã´óƒüØãCÞx­·bgügí׸è•cÆù´~°û+¶Þyáíâuø†Ñ3ã/þäßÍ3üÊn7¸©¼þò³òœä*NèGxÉáXzß:Üjœü†¸¡þÏŽÎø¶~®uäÔ9§oü·có<ö%.êŸv;<{×å_úù ×°èÅì/xqóÅÍó¹ÿsŽÃø?G<¥cpåç#çϧÿk§×ŸyÛ~ìð!·ˆÏì•¿É|‘³÷Øǧh—}’Søâù¯ôwó,o&rï\G_²^èZ·Çï§sñÇ|xŽø ‡ÑñÈ1õ°Í“ö£æËúœ­›3/áy¯ýþcO×ûN©»O’/L¯Å-¸(užÉO{Yï6=õ\Ïñÿ¬+¾íúàÕáøÿí->&Oœ¿ðüàßîR½˜¯æoš7û¢ôȼ8²ø=|Øpxê$[ï§Ýàµk0¼`yló˾ùú/o9rû”¼´ë!† ÈSùez+¾÷eÉÚóùý|ô]àÜð‹®ß>–ð®ç©ß·ßÉÿëwf'‰_Õ&šß£/Áõó3â? ÇÐCy·:2}+åÏä5úËÑ q,ø­ûûoÉÿÇ{â‹/Þ†|à&rïè¼–~®WÞŠ~‡ÑïËo°×òûìŽÿÒOÏÑ.9„HžâCìúÚŸ/yòÆ· éw£ç÷¢¿“§ñêwyÛð ]¿º8sæ{õq‹Ù ÿÓõAá;úÎx¨¬k€ûþÅ>§\ï—±/ç­ùœR'o½~þà7|Rý)^#÷Øóî'ãˆ^O?&?íÓ3þçôóGçƒ=ã&¤?á÷¿‹w’—&Oûô1ýß~q‰S‹wí??í~ú»ïúôÛ<œsßÕñ½œíçŸã¾×‡žëá·OGûnëáH8óÈaçGûÎÎé_¿‹³ýÒµæåÓ‘s¿×óùÈåóé—û‡›ñp°ß-ÿén5ŽÞï\ûîËz‚ »žœ´ãy~wûŽœ¶. uÓ­;Mݱv¾z&<:´ö¦÷å1Ø·¸œ~2ùãxtõgz‰(¢_Úÿ7}ƒ’‡WãÏáS¸H;ÆÛºš~7î¤Nºñš‡Æ{úLߊKÅUò._=–wðâ`î+î»Ö”÷¡Ï­ÇF>׺tøEþܹø ó3åáàâØ×ô=¸ä{æaëAÌ_y*z}­_ò2ô¡¸Ë|ÂUô¨¼†ëéióN~ xz~ ž /[œ9ù9ÌŸ%oüG¯?Ñ~på¥÷ì_ï´‡Ç懃¿¯ýÔà0zk\ôZÜŠ_%÷àóî÷7üV½öÇÖͽ7N÷§.yÍ»~&OÜûVüRó‡æù‰ûÓWþßý®ã÷O¿øYë9»ß6¹EÏäEòñ­“‡š¯ðËSéiürùŒñ•p™óàgxyüçy^yÚ‹‡ý»výÞvŠOáO|ìÓ}p½óàõù]zûà—ÊŸ ?òo­75¯i]Ññ\÷¯òçÎÙ¿sÏóœêy¸@;§ý½Q¿Pþôô“Ÿ[»üeøÃ+þÉGµÇ¿° v íF>߃Wº®»uÔùUý%§¿‰WW=X?OûòŠ­£Ñ_<¿ïÿÉ?úþùÖÄ>»_îæŸëŸü^ùÀEä›úùÖ!È/ŽþŠü–ׄ×ÜÿÙSâÅânꔓoøK8|­ÍëS/äÇú^É¥ŽÙ¼lý¨þÀep×ÑË‹?,~Ã÷ý¯áY‹û´ç>íÀ{®{ÂøÏâOýÓ®vܧýâLvEc§×þ©7n=]âbýäöÑ‹¾o]üÉ^Z—,eo™Ï­KN¾`}Ñò¶èáøê{ó)÷‘7ýO詼Íýü#9&.´®6ÿYþ±òe?ì/uTqö_üûZŸ‘W†_ݾ)Í+Ì'|Hþ‰[âï_â}ø±µcþ­ŸÀSË3Ùwë‰Ñ£¯Ñ»Í¹„O›\ƒK‡çËãÀ#Gù?Üýþ6nþ>h·yÒ¹^Þ<Ümœxwþ’?f]~©¼Cë€Ó¿s¿ùø×é÷¿øKø„›ý†÷Ø#ý n츯u%üDó'ò„¿ÄEóÁÎÈ=ñ3ÆYÞ·yyzŽøêúÊ™˜úgœæó´û/r„ç¯<1=¢÷©Slýù1^ãñœ¬é:ÆòüÀŸº>ùq÷ß_T|FN彃¿6Ïѯî×ÀÈgúÍÞG9϶š~ÉÂNáRó!^Wã*=ó{åä~óÀòƒñãèEò»¿‚gç§ù%òƒÊÿèOüŵŽÆsøÍÉ­|oç1|íäÄ~ù+þ—=5_*¯¼¸| ý5þä äiÿÖí¯Á/®ÿáG®÷Ðá¾ò‡ð<éw¸R{~‡ï´\¢½­=þbß»<×Ù/~×¹ïüëàÆ#— _òô†ŸhÞÆ_™÷àºÖ¿šïwËü3{¥oüøÚx—ßËsoŸ"yÿ¯üðÉü»s|¥ëâ—?ÙWy‹ÈiòH^Ø}o»¿ðüL¯Ïúƒ¾w¾qŠ7Æ÷Àw\|;ggxŸèÇpyWî:~…?$þAœâ7‚÷»æâJyý‹^úY>€<Âsõ;]Ï6?çzrçç[ÇdWú¾lzBïÌgê*oñw—\ƒc6NóÞtï ÓƒðrýÕõÝ0×ÑËòdüý>©¾]qVûá×»~tíÐsãœú݂ɽøÄü‡ùоñç]ïûx¾þi—ž7¾_.ÎEþ׺BrÕÏâ´øó G;ò÷ÁòŠõ`§ì/rì÷ú–ÏèOý½$Oz{¸ø7ýjþ@ÿÄ òÃ#¤žzåëG¾Ësïnüô u,rmܨ=Á·Ú1Žàå½!^Á]§ßãÃO¿ÂÏ]ïÕz¾óæ5g|Û,ýÛ¾8Å©æ‡Ýˆ—æ?Ü*'Ÿ)a?3ó×ï`¢w•þ‚ÝÓçÓß¿ª¿ÁGW?täÖ÷éêç»~`ùIãµç‹»ô#õŒÉÃøR‡§Ÿ¿ñ6s̺„‹Ïs?ÿšüe<<½Ônykrª+zìjûÙÑÇÖ½ÙµûõSsƹ}?\Çê¿v[—3äu®ÿýºÞçÊ<>îè9á_·Gïß*ÿæ%üKò¥Ý_¼k|üøÃüŸjß¼·ù„gÂoŒ× ·Ö]ÔS¢§Ãw§½Ï§½í·îÿ§{_éœ7âáÄ£/û®ø¹nï vÆk­©{{ßÈw†gáJx¸ë7Ö>|nüæ?þ²ïsÎ?Óƒsü¿={h^Þ«ëç?’WîzÏa÷±Óåôåôcúqž³ïñ5.ðì@ûôÔóGVwƒSÉK?à÷ÕøQy49òOð®þhÿ´ç=¤ O“{òÇÙ‡~D~«„GœÉå‰æë\w}/¾Ïõ<íÄ¿mÝ3¿^­qwëa“ÿL_Êóèox„Ö¯¶çÿ‹<èŸù‰¼ÞƒdgÅkŽÉ;Ê;,Ïã_;®Ô3·Þ”žw½›yJ]rûá+çð)ëGëÅ‹ü¿ñð+ÍûÊ£¦~ñ#óºø~æ…_û—ЋƹÔ/üûÎwòò<×>£ÉÃÞ2ê¬ï‘ûÞ*oÚß›×ÇvÐöu4Ÿ™¯«žˆ·gùg÷›ãã_Œ‹ýÄî‡ËÇÙ]q•cë2îƒøùæÍïÈ1ùKס¿±òaGp¹T¯éGøÄk«úi×'ßËú—Õɯ“W/)O˜ë®<Œ<ù…Óï+¯,©?êO­ÛvíÛq½×*ÏKkùzy+ãà§ð¤âKí¿¸G!§àv¾úTêÅ™Ý׫ïïmÞÅmÏ×^â~ßËô¼áíà½ÊuþNüÕ/vÆÿš·#GüÒÖ©¥þ¸}fËÓ™z}®.‹ž.¨½Â‘î“O²Ûâkú¾µïçmÝ»xç„Wù+óü_žg|äG¿[7üë\?’oί——·î÷š/~Íó]O/ŵàkýª~ˆkž?ýµþ¾öÀ¿æºíGçÿä¯_åkø ~Y“íùüüioGúý`OÓóðäÛg˜<ŒC~ =øÞõŽñkþó;ŧîKüÙûcÉKðó{î®ï{«'ë=×÷¦û~þô˜=òÓ×µ¿ýi|c_æ»ëêOàuvüÑ}=¾7tžù7ý%oúí~ýò~‹½Ðs×Ñ7Ï)9ð‡Ûwƒ¿ð•G^«+;?úáþá¹£çkÇuÁ}ã=Ïïx̵wäùzúûzô|¸õ\ßî;™çþñ™xKú¿p­×Kþ3y†ç-oé=|ÞÖ­zNìã{âáò¹ð£×º_~!u‡k°Æ—â…ð6ý.éµ~J?Z žŸ™þþàøÕðþ‘¯ñ'º/uÊÕRoÿ?½§ß:¯úöà Œ¯ŽûÞù!×àûèvŸ¥kŠÖÉôŒÿ o:ý.ßBßbÛgœ^³—àØùáò­ñ“?dÜÁaß#÷~Ÿr¼aã¾&v±þY÷âœt4_ÉGçÍ3¿™<öú>½Ñ~q±ñ‘“øîþðaÝOïªc–Ÿ=rݺHçG;ªk«+;žñ:¾úýŒózÿæèݵÏö]ç¹=w=œØç´ßž§}òiþãÚ£/Y—rÕ™='|×ÞÈ?½ö™ªÝÊÈ!8qõ§Æ‡ó¼ñQô;¼¸Þõ ‹x´òsæ­qœ}gíÃxéCòák?Å3îéKòˆ=Î?ó¸ýÃáóÕu/á[ä9.<ýù«úÈ>›×x.¿–|ôÚo#yøŽ©w4ŸøQy„§Î.ÿçúèùÎË‘;iÜÈ8=O?·O½q5NÀ™©GÏáý‡xÊ®¶ž³üŸøù×,^„g¾Ö맶÷×ø ¼kùÊò‰ämÖ7Ä>ºp¿GÐuëoñßÃíñ‹Ÿp'¿#aÏ솞~ÿ—ëè197{©…—úQ;Ò^õòô÷ŠÇƒÏàCçð›ßá6ÿ?ã¹øÁ^žß÷}Éàà ŸÂ—Ú-.-ÎtxÊïñßýÎé¾ËCßÍgüÅö‰L|^|*_ïÿüLüÃ#oÏD?þÅ®âßv?}îþ·å³»ßÛì®ùMð^ó·ùx7ýnå§Îó·¯:¹{^ä¿}O»[_Ïá'y¯ø­ÞÀ_nðêEñfâ÷üàéçÖ£œq-M}·ß±¼¾‹|6ìùþ9ί‹ Á½×Q¿ø‘ÖŸ¢—=ü<§çÅ?_ßÑrÝ‘Ã_Ñ“âöÙ yÓí…ÿ½æ¯óS¾¾ü$û3ùZò ÕáÅ óÞìÚ×›?`§úežÅ3úKÌwò¯k½¾<.<ã×Ìÿì´xØ|Ò ò`ð¡~ë}¦çð ¹…W»x›ð°åó†ïRw¾Ö÷Lþ©ÿö}¶=7~~òmž(+_IÄò”æ×<$Ú÷^›;OÞ´y€³>âÚOÝxɧ|^ñ©çŸvð “Ïé—¼a¼täÝý6~òQŸ§úUþ°urÐx×<ð ±ÓæýË[á¶È·û–ì˜õ«•·w.C×”O4ä”üÓuG®ÿ8óÿOçgþyž»ã‘“ëþyôØùž~ÿùÈãç3>¿ëß?|ß½zçÜuÎ{Ý‘ÿ?NûÆA?ŸþÿrÆï÷_Žþü|æ£÷ýó´o<¿}øùÿyä÷îÈA?þyÆ£ßÏ3ÞÉï´£Ÿ“§vÜߟë6OGÎ;žëôGÿ6_æÏóõ÷èÅÏärúMo~>ö²£ß<~!òˆ\v4ÞÓß?üóÌÓŸGþžç8ýûãÈï3/ÖyìºsþáüÿÏ#Ÿ?¾9jïÃiïÃéןg^þ<~î÷süpäôçßÇs\»ç:ÿÿpäëù¹ú¿þ:ÿãôÇõÆñÇ‘Ó‡#Çßœ¬SñþÛ‡£‡ëÇ™—ϸ~÷¼Ónÿÿ‡~ŸùßèÇÑ/úÞûõò Ï%ŸÈÛ<»oןñZ/Å>´ó;1úoüæœôÿ<çÓ¹Ÿ¾NoOû¿ÒÿóÜßÉáüý!·ÌûäzÆñ[æ÷£ûμýFìíÈØx<Çüœñïý€ÓÎüʱËÝwžg]ØüÍiï7÷öè!{ÝýäÉï¹|<ÇÚõÇôÿ7?ô¸j¯gœ³Ïê}üåävÚÛ<ÓWzæùìK»ì,ú4¿Îל#}ùÍuôT{ä@Ïuìýš÷3¾G‡_ø?øñ<Ï|ì>ö)þœçþa¾Ï¼øŽ÷䚸5û7~?ãþ|úñ)zü[ž?¹›ßèÓ~×öåܸ¿fÏç9=‡~ˆ·ìƒ}›§ÆûÄEÿ·Þòò?çø›ñ4þ³ úÉõƒÄ>>š7ý>¿ÃìC\™ÞÐCó‰§ÞÔÿÎßÅ_Ò·­O­^èŸvϼ:Þ†ƒáC8¾^ N~<ý„[ßû?üzú«Ï‡Ëüö¼óü_Ž¼ßÃãpòñžç/Ò“à¿óÿÍó¹ïÓyÎôŸ?8Ï×w‹óÒó³øç¹ü6=?ãoœü=þqúÀ±Ûâ¾<øùoâÀ§ÆY¸Ž]‘“¸Çßwí~GqÓÿƒŸèïü¿qÓósßo‘WqÊì9¸ü%.üîy‘{ãŽö?vÓŸ ¯ùâwõˆð=Ýé÷ÑSþ°¸²ú»xÄ/ÁyÚ¥_ç:qñ#y’Ói·ñoý:íÊó?%~ ÐÇÚ/ܘ<Žƒç?Œ3qkÏ?ò‚c“?9’»y¬þó‰/ÃYÆÅ.bgÆï~qy~ûèÜ'Ný‘yÓß_á\ý'wzÁ‡ùƒÈ;qdã¤'Á½¦_äÅN›¯±ƒÆ)úëwÏ ¾kÿØëòÏ}ðÍkÿ(Žh^Ó¼ö´Ï·Sô;xsxÇüñ“æ_8óý¹rþ;$Ï®M>8yoÍ__òÿ~ßûCç-¸ÙûÖË’§ÙÇñSý}b7ì îŠ7/ì4y·~.ß ¯0}”ïº/zè~zM~¿óËì*¸zþ yü‡Ú#;c¿‰¯ð¼v÷=uñ€½ëwòúɽüý=ÏÛ{TG?áÅ||>ð<äi.óûpZxTÇ‹—„WáÔ] ?Z~îÎôûi¯×ÿ‚¯=ý°ïUóyqî#û:Çž/Ž›gv\;Ès†Cùáæñò!8‘–?‹¤ßâÌâ?}?¿ÿ‚»’·O„üÎÿëçWø1r`ÍÅwþDž|®ûl^’J\ão‹Ÿ.¼ ?ñ ®ç?äåK<×¼…ÿã7~?>0|øòÏ‘ßó›q†ü>'>ý|ì8qä2*ýZüj<0ŸÑŸù=yNäãÿ³~Š¾‡ïGØáåßpúâ&žB On‹ƒøñߣ?ñÏþ?û%§ðû—¨>Ê›à?~ûôsûíç}¨>9šOö`Þ‹]ç/ñ;õ‹ìïøçáûòºú[Þ´zÿÏÄ)<ýp#¼Ü2œrž7}:×ÿž:Óòýâ v.~÷ÆEîs¼xúa<üpó ò`å)*Ïúßð<{Nó!ý4îOÇÙWóÇáYñ8z±|$õ‹ò¶åý|'<ãߺuèÓÏwð!>ðÜ·º=œzúwñ–xIü¥£çk·¿{.¼Ùöüßï=žë–O„7¼pÉ9~ŒüÌÏïñ—å'ŠŸØ×öC8ãø¬ìNt~§8  Ìžß“g]¸Ïx£oåV§ ®¾,Vû+¯'Ž¥¿ÅÙÃáÙVgR7ž?:ãý­ýIdòNècýFðûäB®§áxú„ï£?æ)ùøä-è§y)ßžxUœsñ&§Ú‰?zâŸ.ž§|ðùÿUW&?úÞ„<ÔmÊo,Ž—?£'äÏÊSù];ô 8¿ë\®úi×¹$yÎpbùVúÛö‚»o’ù>GõíóSÜ#'øÐxù+ñ9ñââãµã>8–Þâô·úž¥ó2¨xPü„ÿùw~ î€ûÜüQÜÚùžÞêgpÆ…Wéoã‹ñº®×7_ÓŸÄ—á êsëPg¼ÅYðäú½»ðGòÌ=·~=zµ: N샟;íu}Æ¥·åÿÄ‹ÓþðVóëÎ=&gúP=s¿{½xÝäCÓ§øÕõ³Ï;Ï‘çÊg¦ßG.êßöáÜ>îá•ÿ–ÏOž7ÿëÿx€ò›§å%ðÑ9¼§áý~®ƒ+‡;áÍó¼­S ÎóûÖ7:?úµõŽ§GõêâZüêøÉ3o««_ìŸ}Ù?ßüÊ›ºŽá·èoífü‡ù?Ï~eücøšË»à¬Äíòípíê"ÅcÅÇæ?üÿâ^ø÷É nǵß®îzÂâ†ÅýKÝhü¬~Ó_ýË:?öWþjó„/ã/k÷â^òëÅG¿7>ˆóç~y6¼óyñFp&?`Þ¯Îüò«£‡G­ügø¡âKzïL¯Ëß„§Z>Ã>Âc^~ùÜ/ŸºÆ À3Å]âNê㫇#>«øbë%Ò^óµñ¸Í“rÿÇÄ]/ϧ7çÜþÇòÿÖ9fƧ]õ²È3û¿áÖÏàˆåWâ ;.. osÕÄ[~Šw–q6_íº¸™ŸJ^î:vì}_uUïã^ëðx¶å äÍ?áâðBówͳ‚K[¿œý²‡øëÙùç¿ÙAë^<®þ—wO\Y~’¼í7ü°ßõ/þüZ®<;ÿœ?ý…»ÄGq™žÅï4¯Øz˜òí­C§õ{æuëÉØõÑË}ß^.Ï‘¸±õ/ø u~Yn1ß8Î18n¸±xïœw=ãêÍÎá¾âD¿Ã«Å­Ú-NÕ~pã…+á þ£¼\¼Q~¥õ òÝú v¿\ü+_—øµöŸpbxÿ+öàyôz¸Å}ÚËõË?Åþ•Ò_v\ÜÞqøŒþ'þ-¾Nœèû.7^þ·ñ:¸hóüµ8RÜsæŸÚ:Õð¿ŸöWwl½?‰_)ž»Ö'\yRÚù#úÓøÞ÷½®÷pá8,ñ¥ú½ Ó'8L|.o[§üqýš<>Ø8œ÷>|ò¿Ï|â ÆÇþ»??ýïsüðÖi’‡ü®'£¿âöÖs²Có>eúÂ1‘ëø“ðeÆ<Õ“¯uÒÁAûΉ¸/ž~×ð)»ð»þ‹ñ{×{ÞpLx\þi~.úd<Ë›ƒóÄ]vÛúCñQýƒs8xë;É‹‘'¼Ýy7?ôzÏ[»üù×—xŠ‹‹mß<ó‡­c»ê{D}áÿ”Ï·«ò7æ;ùúµ.ùÜßïéØw|ñ—~Ÿ¯¾Xœïü…¿òéúËúMóÉ/¨_Ð_¸ÂÿõGœå_ãצ÷x85q†ßX¼§oÚÏxÅí/á;VW-îz:‰çyÃgÅ…Úóç½î´ûÞﮃ+‹pèÞ»o‹'ÏuÛo)|þUÃOšŸæ‹Íóàšóü­fÿðYñKüù•çwÒï½×iÙ;®¾óÑóÏõøAq‰½‡9Òïà‰®³[?égx©ñ5þŸúÌ•·²ýL¼]½ÿ÷_u®Ê/üçUÇâô[½M\"_~Êïò|Kê›ú ߌ? µü;ñ’\oÜqÔ~ôdùNüÑ…³›?• ÞªÜøÃkù%¯ê~W}T¼`?ÁÇÃUðœú2ÿü ×ãÁàA8L\†Îüïè¹÷lDxñÃg^WŽœ'7í%/`ÿÃ×â,9%þî}ºØÏê®äFY_2yWÅ?n?“àü˾ØEòáá7ýžÝ{9Ž©Ï]|¹¸+~Š§ÑÏÿœÂ_-Þ?ù[rO>Õü·ã¿Öwžë¶Mò]zÑu®¼2qa|ÕÑþaï´žÀ¯¦ŽtÕ×_÷>HyÕÄ‘òµ=<×[O´þËSË‹âeØkòfý˜_s_q@óuv§¿ñã×ûˆágŠöÞ‹çåÿˇSGZü>®w$·Ô–—À™·Å~€¿wñEø¿òxpÿ—g<¿¿?òÚû8§þo_É‹?,¾Ä7zÞé‡}C½wn]åö«ä¿Ämý)Î*Îà·’G wŠä]Þ†Þӟƽä[oe<å‰O?¶.6žÅõüØéÇÞóÿX¾Á?$i¾º:7ýOØ%^•|á~¾LÝ´ë›-o;þ*öî½îùý‡WàâæÓæ;ùûâ¼8û6Ï‹ú¯ô‚ÞÃ5ôGÿ“oÎ/اÊó‡øóظ>³û‹}Œ¿¾Ö]Ñ{ö„Ÿ•w–OŽ?áÈ_Voâ÷S·Yœ:ò_Òøò‡‹ÈÇ<†?è~—×ú-rK>`}äâáÎJ¿—ïãô‡þ´®òà—¦‡ìŸüå5ä›ø¶ý¦<'|˵΀þ&þw½óµo¥ëÄ)¼^øEøÌ{5ãËÂiî;ò¼p¢ëÎx‡O¿†Ïs÷û‘+~~µ¯ºãxSýçúÿiW¿ºÎqëµ›×±·ØÍô4õƒk¿vu䇿¼Þ?NÎû{φðçñOâ¿Š–ßw WÅ?_ï¹=ú-ã-ϸuUúÓCñÆøÏóKYÿØ)¿ã:ã‚àËòÀ‰ûk7¸÷ªŸÂ£‰›×{¡ô%~nÙ|—hžZ^+yyë{‹‡Á/â͵KõØѸ'ùɵîà<¯ó{Æ?=Ûç_ÇáÏ8†O¿Çk–„+Ïïûn>ô<÷zF{½®¼j¯/¿ ŸëúÝ¡w~‡sÏüî¾Öß÷&ížvÞ÷¹§Ý_Žü¶”üœ|÷Çþì;wÝ×ö =ýpÝöåŸè ½*¾KŽ?Z2yòü­v·Çψ'Åg±ç­§áœóüñ,ò ýƒ?Ø_âñòvvüTŸWÃw­=~'ñÝv=åâ“xÓz/?$~ò¯üuê «¯’»ÆƒóÁñó;­ƒ›—ò$æÕ¸Ë]ï«ñ[­+…ßØøãW—?v]Yô`üAìyz”xVyüV¿N_È•‰SòÂsÿ‹yT1oü*¹ê/ý!Ïc7äŸün»ü’ú!?ç:þ \ñ)â‹:¶üÑxÃGZ¹ï1‡ß=ÏÙûóÁ!Oë#®zpy×ä±Å—Ó?þFü÷ñ«ü²¸¾¦8ªïK\ñJ^@Ý—xò¸ÏŒÿ7ßp}~Ÿ¿…Óô/÷­nZ?\P¾þ'ŽïÂò\þ.×nòÌêÛµ,;tž8¸ïK&/ù3öÚ÷T>dÜû>½fÉK+—×ðß]ß<À®OÿW7K]«ûv,¥ü¿Öüˆ~‡w'ÿê}ó³ð¯úgÑ÷ðþÆ7|îܸb/Ë×àó!nùýš¼uõwzÓõ·â§ïŸö}«åáõ9_>·ðWg|«ç%wÂÍcíþ!¯oý§üýÈäRü®=ú&žOã#ù'mݦ¼ôâbòžò=ËÃõ—þOô¯ë\úéìôŒÓ¾—Ãg|;‡ÿÎõ×Á…{ˆ/,Šß„ áÅÓ÷úò¼Úm{mž¤_É º_ñÖƒÁ+ñCõ ­“u¿Š«}úÓ}ä»?^ýò£ì:¼Ùò»Ä¿ò|;ÊËé_âËúÉ.ÚÞ¹®ë´½¿»÷Wüèý«ü“±«ø¿¾ç:žË¼µ®§&^<-À^Ô£:ßÉ/W¿ ~Z¿»üOÜpxðÖû½€î“Úï}µþ>½ÄÃ¥Žþ1~hçü6?Fîå§Åÿà¥kÄ3¯ûždêÎËkSZ<Ëú˜âÁùOóÏ?&NmÝ,ÿ*…WÝxá5~U¿É‰ž–Ÿ¯é7Ü’ñ’Óï±'¸cvžðsƱøxÞ÷W‹ú}Ñâðá–üúáºÆ»à¼åÑü >Õu‰Ûë/¿iþÚäs}ßoëè‚oñ÷»N{ì‰>òwÅWá‡6Ï~oý"ù@ýûðcêEŸâW¦¿äg~ù)ú.6rÖ®~'o^ûìÐsÌKò¬é9;ÒÏØ÷ø«ðÙ×{ø•3¾Œ?‡gµGÞx¸ÌGëP»>'§#·—ÌGëd­gvýεþ„ÿöÿÝá+ÖÿÆr™ÏðÓC~:<ìäËNÄ9ñ°øÁøõŸ?ÒŸä#‹ƒåóŠÏZÏ..ÄúÝuŃÁuýÿêÜp`êçWßïá!w<óÑõ£ÿL\[þÂŽüÞ¸*O Þ¸¾ëDÿÄ7ù¼ûÄ—àýíÿÊî⟦OxÒ‡ÿ¯_§Ýñêáá?׳ý ÿÞubŸƒdÑ¿å9Ûò"¸~‚õ»|Zù2×óp1?b*¯ÇîÄñàýØ÷7ù‡ÔϺ\ßÚs<—Þ‡ž¹¾ÏKܸ¾§É¾SïjÿÝ}˜âŸ?D_ºN¨ß? ßô£ñ$qõª·'~÷êÝá?¿ÈC\a/ÉK'äù[¦úU»Èø–”L¯ï›àÍ»Ž¡'ø>v¬‘÷Ö•qü®ŸÚ‰ÿžŒßíú®å«ê%ñ§ËûåK© ïõ= x;öðóyîÖCžçXGú>TÇ>÷­~îˆÇìñëÖË[¿p¯#êh®wήƒï§/ÁCã‹“gÍŸø=<øô‹Ý°¼BÖ™týïì‚Þ·ŸÕëäó÷üwxŠñ_ôYÜ OÆ‘zôKxÉî³w½+¯dßúû?røé§ÖWŽ|_Oû/ËpxâÝä£òiý,~äòƵOoøñ,ùéµ¢I|$ïðÛóÓì4ýj|µ¯îøÓððŸy[^횇à‰ñ ñŸ›óÙ|$üpyõÆ“ë} Ï?ϳ¿â—Ø[ë:}¯±ö°}ÊŠ{‚¯f‡ì y;NÏœç7ÿø=rŽ5Í?âŸûžØÞ{çÿ=ŸþÒ‹è‘ç~‰~¬]È+è3žF.¿×¼iíe}œŠ/áoçÙ'}nýîôËû3pïù>ãû3¿ïÃ^ß#?zßï–ÇÄWâ{\{ÕÍOÿ‡?=õ}ù¾÷´÷ãÃû~Lš?ªÜà2ú×ùsŸë’×ðûÃWz—ü¬ñeþ3ø§ïeÏ/$®\uº3ù͵Ÿ‰¸ÑóÆÿâ*ã…Sñp¿Ô8 ®Ìn´kþ‚×ÇÇO/œ&wñ¯íÈÛø«ó<ß­ûÿõ¼¼ºUëÚð~òÏÙ7¹ñ«ÅÉw.¼©}ö.Ž—Wj}*ñèi_ò­‹?ÅÁÁQÝàòÓü ¹ÁCáÝ&'ÏK}`õîð­6þŠw­3'oûœ8·yË<‡kjþ‚¯Øókù¼ð<]ß4žÔ8“–OŽ;Í¿~–£Ç©·—GºôNÔ¿s´ov÷˜e>'/yìÇÞËÕÿà`ñzÉNùsýåÕøÝæÇú§ÿ~×~ë ÉóÆÛ‹çücô°ù]ß#ßw„šÿ´T~ý$/îþhóÇä»þ©\êo“ïu=t×O6¯î:εþðÊSâ‡wÄË3žíóqŽWÅïiçZo•x}áöæóô¹¼`âñÖ¶>á9áÛ¯ïP~îøÄ™ð¶‹+éyüíû¡_ôË<©wãïà9¼|æžÃ?:ÇÂqÇ>®÷·áBüç¹~û"ù¯Â‹Á›»NÏ|]ïá;\>ªq#|ÛþŸúOyhò|¥™'zÝ}€—çÉCË_7Ï-Õ<+^…ß¿BÏ<øíêáa¦gÆÅ>ôƒÂÏå½È1<ÅìË8´²òI=rû8ÒwqƒæÏÉ/¸uþ1¸|<†8üoý:|¨Ÿúç¹õ¿â~°yEðG¿«4ÿ¤ü2>Ûõâšëé“øR>íïþwÃS^ûБ¹Š_ÑÓ§ºØìI~’¼ªzo\ò ‹/p]ðúø×àž¿qÕãàöÎ߇ïmž´øOƒ«¦ÏÅ-Æá~óìùÉc‡/[·„“éƒq—í<Ïûÿô9ö_?¶úöiG}Caϯ^ÀYü<ïy®~¦þ#_y¥¯©_\ë5ÓÞäŸünýiýH<å_Ä¿‡ÜúÆÄùÙ_úÑ}¶–Þñ/ì ó;>"v²|ì<ߨ ¾¸êÐÁ=ãßô»öؼœ2òï‰3}¿ê%~ýÂgá{®cðvßçi=ÁzÃÉ÷ôç%uñìÔüž?×õ$ÍkûÐçü¾ï£‡_Ÿ~‹sÉ{·oŠ8L±«ÿõýø¿§Áuçè½iïó¬î}Ú{/ýÜÿÏxíC´ýÙÓN÷/ºÚ;GíéO÷sÚÿ‡_‚»ÞcõR~›þ—§Ônâë~O õºùó~ëÊâG? 7Ä,Ž%Þwõ§w±÷åÇ솷ȯ|€øCNä@>±£ÖźßŇڙ¸müæ…¼šçGNû>Lø½í£žvñƒß)_gÍûè›vø]xE¶|¸¸+®e¼W¼ÖŸäq«Ê¿Ø¡ñ”W<÷w¿fï÷÷}“ùEzײW|TpßÞcÈÿû^ùø˜à—âÙcqSôþžS¿eüð?GÞ‘ûêbÁ©}/vùkìêcäÕõr{O«q”^Ã1ñ+{>ž+ùõÖGç/Ÿr?½/Pœ|ÕEãÏæ¯èUô·õ—§ý-¯ïïêùæO£Ÿå«º/z¿9ýù¼uí[_ü¿ÖzíÖm6OsŒ^•çXƒ'¯õ–á·ù¿â*¿7O¿f¼™Ÿ½¿Þ`~¾*?ÉŸ5_1ÏÅÎÙSòØò‹žk>ºî¡ëäuåAØsòÏÅéònÁK®+Þ¾<×÷ûã®Ã?nŸw8Ôýðvñ’G®ïi§®}ñ êèðoÛ÷÷é?¿%þˆ/áLJÏýŸ~à ÑÇëûÅá ÷þ¶øžªxl|ÿ›¸·çðås‚7¯ýëÏé]ë`õ”é'9$ÿl}¹qqûÂÁ‰‡[ÿgÞÜߺ<›ü¯ó¸ýÕ]oþÃ'n¿tÚ…ãæ7øq~^×Oz~èQ®ÎÍ“¸.Nèlù¡àšâÆî‡qå©xú ~*ë*®÷Ί‹Ä5ò¤'õ¯é÷öqÐ?ó >ð£þ‰}ö½«ò®×w4‚g§‡Wø¹òáM·ïeœ­Wóç>ëV®?jÞ×øÆîá[uþøûåãÁ3ø¼å[üíéõòê|]÷cœÖQø¾Âü4?E¯Œ“ÜôSçŸ=G\5â”q·ü›κ„~ÿíŠÛƧÉýþ{æùÊóå;Í[x­×úUó,ÏJ½«û™]ïáįï}ÏO×ÁsÁq]?Y<‡ï„CÇ?žó¾ß3³Çóœë÷#ÿŸyû%úÙïá-Γ3ÿ[ž$xszÈoÃ'­ŸÐí¹m¿›Öo’÷ûýÎؾϡÚ‡³>éÒ—èõâ-\ÄÏ„›½þZ_øøý­#§öŠ'çô=6Îó»Žá%ÆW‰Óòcübqoòëú×Í_ÀKñóòë—àËÅÑäu›g×%ß½ö ?ôãÌ?û’õ]}?ö -?Ñúʵn3¼äpmpßÓ¾Ã]ßÑ}I×_úH’ÏÏ_§>?ÜÆoFÿ'ß\¿8àzó>¦ÿŸÜŒ?¸¯ù„~ÑŸ®Ïœß)nºÖä®Qdí$n\ëeøqX»Å¹ŽåÙŠƒýß1xóÚ7@ÿ«y¸ùu}øÁùõäדGý7}çOã×ÆS’#?\ñœü@ëJü·ÿ'¬ÝÍOGßöœG¾â]ø„k_FzXþ%¼Kë8Ë¿ýŸŸïÄ9q‰|Óü—3nóC_ƒ³úà‹Wö|yyõ{øŒ§÷Ó›Ÿïùâ‘:œy9ãü#v¿ùs^Ès_£×“¹›/íñÉ“ä;[÷%~´ŽV;åoÊ·’#;=ín}á¹îñ½ixóŒo8±8^<÷í{9çú½GƒÏ<ÇœqGý±¾sß!:¿_û—ë7Ü{®ßþAg|«‹ãIá\íŸþíxä»ÿãuÏøúõ§ï¼»O?ÞŸûÞŸëíï¹ä^<¾ïiçÑŸ§ïÂOÏ“oÍîÊS•Ï¦7Ú ¿S>‹~½Ÿ]ëvø±àÍÆÏÙ1?¿¶8Ñûø3~®ùºxDNÉ ç¬#I:?äÿüÿE^G>Ë‹ƒË.ž+ø|ù%Ü`üá_W÷"þBøóåÿpBqeø¸^á~Ì1¼éüŽñÑ ó|síC“|„V>ÝG|ñ-<ÄîKþ¸¸C¿ô¾¤¿å÷/¼ðõ=àâïæ[ü¸y ù@ãù#猿ïW.û†×á'y˜x…1n~‚~v\­Wv_²îgÕãæU;ädÜ}~ñAôý >›?bWžß|$ñ”o\û|’ÿ´ùûÖÙ™çôçi_€æE}ï¬ñÙû†Wý>j‡7ãï’ϽWÎö_X\áïZj~g<ÍŸØþ&üêŻ»xYõÜ>ÏQ?“ß5n/‹ß_žÞ û%N¾ôž=ˆoì‘}ë[ÙÿêYó“ì9¼Ãp{M>7ÿrÆv]yyÐêß‘cõ»¼Eù¸¾—závø€Üün3þ®§˜_ ¿s½ã<õ}ÇŽË|˜oüîêÙô*q¤ûp>½G~ñSÅÍÚ 0ý;ÿ÷>A¿3Öõ=Oû)´ž·8é~ræ·ÊÛñSô—¼ƒÞ6žTßõ?ãßc^ÃÛŒONžSÿ½øâyô‘œÓß ×ί'Ÿ¸ö牞oý©ù‡sŒ×¼øÝsàžð¬Ÿµ¯­ÛnÞ?t­{Ñ}J|é÷C®u#gœöõïz·µ“ºËõ>ð‘yw‰Ö¯¯ú‘öË÷ŸtÚÑÞ7Ñ.{åkÍCS¯=^‚½:Òó™öºÿöô7ü÷Ö±‘7?fžšÿ¯u߆®{¡Gêñ•Ëäežé…ñœûþH¼ëw.<[¾(yàUOIqú[\Í^ã7æÂ÷¶>wí›BÎð_øÝî{ÒõPõÛôuò0ÏmÏ<‰ûáÛ^è|+ߢÉ·:üçá áM8nëïðŸöžð_¯û;¼Z|ÛëÜ…g=ŸLÏã6¯Éó–7óäïzñ5þ¡ûu?·Ùž…/ܾ†x¡Øýµ>P¿è}x¶k=ƒ~ÑÃð£ìq™?†SésêK"ßÏÅ ž_È¿¥×¾1G?7^v¼±ïX²ûŒkóÿy}&ý»öc$vI‚úÝå+ïÐ.¿G¢7Ý'usó©+\u—ðEÅ¿Í[¯õMòùÔMå‘ãóáó÷Pwžó±·‹ÿo‚ýÏ®_Åæ!<Èìì ’C场p¿Wxù?óÎÏ”//)_‚ãjÿ§ËGø±äk[çÄ~ÕZÉú™ù ñ¡¸-ys׋]ëöð+Ú#ó¦?‰ÇWÞuÆóGúq½7û˜øòÆ·k za~Oû/â ù5/+_›:ðp¼¼Ö÷ƒV?ÿ_ýûŒïÝiÿguòÓþÖs:žû|×òúÎБïµÞàüÿý‘7ü>ÏÝw0[0¿ì¨uÞØ#;Xœõ~Çï§ÿÝÿjvm>cŸÓC×9&»Þãã’¯õ{/‹Ó§__âëß®ü2qàqVâøÕ¿äK{O5öÖï”ç¸êáâSøÆÆû½ÔöÌó±ùáu½qÇÏ?å‹×û€Å¿ü“ø#nÇÎ+· —¦ÔüsþŽÐ~ó(Ïó~ .¡OçùW~Üñ´ž½ë—7µýœžò«ìÈ8“öû WÝ9|qqB÷sí>×]Ïw}''x¯qcñÞ– þ¾öûä'’­ÿ¯Û|æi½ôö‹Èºœk½eëÉ“ÍׇØç_Ù«q=ñ^¯7ÄÏ^ï+¯¸ž¼åúVq]ò¶Ëݯ]úvŽÔ$O|åÉ3yÍõ½ªø³Ù‰çÄ>ºnK½êÏŒgóIÎôE;ì…ß”ÉO÷?†G¯Ü7NþýÄžºßÅÇŒ§ß‹êûyÝ'ñz?Ø}ì"ó:\—|±ï=~1ßøö'~\¶õ‹g|Önß"¸þ<ý~<¿wÿ¤wg|]g¹÷éñŸg<ÛéÌÓÏúåx~ß~žê什á_r†»ÙeâÄüGëÀâ}0Ÿæ'õŒ§:Éødv/îk×ïì‚¿À3&\ú?½÷\èáÅ?h<ÆA¿<¯u4¸ øãiX¿«³‹åŸÚͺîk¶ú`pãäþÌ/?ç¾â»ÍWx¹ù³ÔÍ®õ)å)'»ÿ\ùÊÏOÏ+ŽOY½/>^Lý£ûw,cùÞðÞ‹çyÀâáч/GÎÛ¿£8Jüˆœ¯ýs­+âx•Ö·áÜß‚+õ·ûÚ÷=µk­þß_üqò¯ù!óSþÜ?Å8›ÿ8òmýþC;ô48¯<Ôø潿Øe÷aµŽpüfóUú­¿©óLŸš‡á[7OæzÿäÌçòvižåð•ñÀᙿ+¯§Çñ“}¼û3çŸûñG×ûL©óó[—¾ëZÏ 9÷qâ<ëZÍGyöfþÃ_^ëœäâRëjͧºŽ‡½¦½ñEáæï]×x`¼Ás­“¯ßÚ+ïzÏÆQ?ûà'Ö¿Øi¿Ûw­Ç"_øüÄN».uòç—ØIø†~{ïïà+Ãn¿ôð“{?èèËÞ:ýÎ;ã‚÷~ÁGžv÷;oY¾ô´‹ÔŽ}™ð«û.¥öŽ<ÿÙ<¸|mý ¿¿ÝmëÂÉ—ýžBßËë~µ›êѵ¾ž^Ó‡ðÑ;/Í.Ç/N¯q†¿Ûû á57i¯u›ò¬[ÇÌÌ·y.è÷æ“ïüü>}¿=}}Àså»ãäcüŽµ?öü[ýìwp·n‚Üù“ðÅÓó"oÌzš~ÿ|÷“OëTâ&{Å'î{;õ{̓>§?×¾wÁ}Ó×ðy{!öÒý=úÝóòOûÊÚŸýsýjì²qã%óß÷ÊûžÀõž!ý䧴'ß*Ÿßx19çúK^Á«¯ú“ºÌêËG~pžrßgtÄæwß/‡CËGþr®ÃwO«øÄsÜ{ð®‡/áY÷ŸqÕã1õóÌ¿vÆ÷…߻ޯr4_üé9—G¯þм¬ñ«üCñýÆ $N_ï±…7»xéä­×þ²áý·;{nž†¿¡‡Æá¹ÆÇÏ“gÖŸ|h<R×ìþÁ³‹Ô3>×?=áÁàöîã¶ùH¾Û}º/ü°u§ÉÛè|q8LÒò²äÇÏ·NJžþOߌ“?Š_ʇ»ÿMßWèúÚ§ïï<½'8ýÓžycð‚ùóœäÑ[ŸzRë}]Ï8Þ¯<Öy®ý ®÷vØ›çÁƒÆ§]øÀüøða÷;»ð^ù4ã«¿ÿÐþöýäõ“}&®Ýæp >ªëw‚ëåã¿øÏÔK·6?œ|£ë‹›wvÿý¾Ç³ë›ÿEo»?âÚ7Žð_Í®ü¨÷û½8Á<Ñ'zʇ§X>Uœm¾ðû‘×µ»ŠÝn_aúŽç¾< ž¬8ãÝ~Mü\ñRqNñ#9‰©//Ï.é•ñš?ù#½ °ýÉŒƒ?Jžtí/g~ËÿÐç惉7Åmó‘Ãu$~…ÞkøÆ‹Ç[?Ô«ºOG¿+Z¼ûóÑ?Ç÷§ã÷Ë#âñ’Å£çÜúÈâÖ÷§¿xÑáQü#yôp¼ç‘Ûõû9ß{;ÎáÐò¸üáÑk|ËìžÁ‰æ#úÝïá~ª½‡/Ø:ñ$ùÁõþqìmz’zB÷ Ñß~/zõ*ýÑ®xB.WìîâRÿm~ù!ñ¯ßw¼øUöKÎáõ[çݼ¶Þk<ñ“ÿË~Ô#Ÿ+~Ç®®uÒ] _žãúàŒ ï%omñq½«yÊsûÖµÿzx¢îçy彉û/õ_|ÆõÞVÿÏ$þ.~’ƒ~‹[ümò€Ö©÷ý%öžÑ¼‹§ŽüÆõ=eóÔx¾íSýý:×Ç€ãصßÙ¿ù ïijé|û»¾«ޥߩi\½øºsÜ{Èå»w«÷>×ߎ·¸„þ%½Þæ?Â÷/ÿzÀ }_¿ûBôûÀW}œß!ßä#W³yTâÑÓ÷Cú}—ËÞÔÑà >ÖiÊ?ÆŸnåàÞË/iÇüÑsñ,þçª'éox½î _œ>?LŸøgÏcOìÐ|}kýñq½1;=Ïm]¸û¡MÞÚϸŠ÷6ïÉó¯ýOô#üáâcìªß+¼Þkü¡—ô˜ùzÚg}ï½À—pµ³õŒ§_û¿ßsÿp¬ç¸þtÝÿuÔ_ñ!<ÉU%ÇÓ/ó2¾!ùØÓº»‹o‰Ü¯ý øKñ»öûl=ûz?¯¼ž~Wo£/Ý}¼VxÖ%ºî{ë‰Ø'þ¡y²þ?¸÷4Â\ëûË ò/GžÏÊÏǧ~þ’ºV÷ë~?ºö÷#7~&üîµnæa½cñÈUok»æÁõÍ+É9õÁéWêeýîòõÞEâv÷o½Öã¹îÝzGr×ÏÄ«™¿]·ç[Nœd§Á»ãÓØ/¿¾®û¯í» äë˜zا<¿ëÀÆ·ÑÏØë«q$ÿh>xùŸâÏé<Ós×Eþï}…_¹â9Ћø«á›â ÆãÔ9'æEyGùš}o3¼ßGéºøký-yúÝuð—ó3/¿…¯ÜþQå-ØOø¨ñ×Ñßý¿ë‰‚S‡ëWä;çºî¿Õ÷?$îõ;K«Çœqï» Åùáç/èùÔOí–·f§ì‚>Õÿ–‡§ä=¾ü{ò âñë= í¶ó|ùе/}Ð_ý¿?»:¿9ógÖƵ‹€{È“\RÏì~ä¿÷Xà´ÿý?ëÎã÷à¼#·®kô^u÷{ìû0»ïŒ«ßI_ýN<òèþïøͽŸj¿Ïë|·\ï[ó§©3nŸreï峵ǾÃS­Þtäÿ’ø=?Œ‡ŸÔu°/>ôÚ/£<<¿ 4Ÿq]ëR÷¾êŸ~ÛüñÚP^ܸq'ÞµŽúR¹‰΃߯ýÕøËà†ù 8>ç/±û‹'M>19ó³ú¾øâ™áŸð'ã…“Wö{ÙW=Û|4n-Þ—š¯$vÿêñÛÑÇë½óžù½ð·þE_6úq~ÿâzvú`'×¾纗ø•Å‹ú™âŒúœÿ‘õåñ‡¢×³ÃÖÿègò»å9ÉK.;‰œ–OÒ«ôkï·Ä¯ÎÏ?œÃN†×ºŽ&ùò¥—‰§]orÕ9Z§Iü¯}¯ŸòÝèí•¿¯vÿŽâÄís GóÅùü±v‹ð°Å±É«[W(ßû)þlxˆß WüRq=9TΕ‹ñ„ßi¾ëîÇ'4¿„Ÿâ÷Ñ»W~¡yºç–_Š¿Ñ§æw•SòÁæUóÆ•ëáÐù+óÅoTOŒ#yÅe7ú<ó1óNþ¿œþ 7žþí}ëÓ/ë$ßù?üvÆÕ}&‡\áº~?Çs†Sñ¥§ŸðâÞó>¿/âEsùËád8ö\·õ•§Ý=Çïð­vpëêþúW—?½®#¿#Ï®7øõün=èÖœ~o_ÏðW]?»¯¢7×~H©]qÛuñ·³Ø¡:ßUWHþ¿õLåÙÓñê âX× $Ž_ï_®ÿŽ½®öϯ$ÞÍÏŠ[ÆËšø·ñ¼ÁM×úýÐ>ÜH>™W<ôU'j<$oíWòÒéUú»÷>ƒ_ºÏú‹qüû÷Ÿ~¢GÕÛห¾ßõ?å+è‘qŸ]80ùܵztç¥x#®Èä=Á÷‹ÓÑû­7<ãiÝñúnOò“k}(>ƒS£ñ¾8U¾K—×yNó;rŽÝ]ûÝe>úª—Ècq¼ëÉȇÜé}ôyçáÓ¯÷¦ÜoüÑëáßúÔé¯<¬×¿\ûÛD¾ÓïàÇ‹·Ó>ûÓ¾ù¯^»Ž\ý.M£ãZÝžtžÂ_ëÖsìu×~µ•_êÝ'¶ßËbçËWšj‡ü›’·øî“ÿ6]{üQ×Iøø§æO×÷„ê×ZgÔ¯‡ûÛ~ó‹í£æÿxæðyóÛæ—|»Î›\Ì^´óŸ8°ü”ÿáØKòÞÙ瓇y4ó€Ç„¿Î¸Þ·®~ú‡ÿܺNÇ#/xó—åq‹kýî¼÷u½€ç»ÎsË+ëGx¡—èi÷躔}¥þ°ùxÖ/+ÿèœþ¦¾Ðu¿ÓÛØÁòÂäé­»_ûö†ß\œM>ÜõZógá3ê‡[?œ|ƒgÉïf©N~xòbWü”ñ7ž—OƒcŒ'÷Ãã³›‡ø}½Ï$î”#oÏ _½ý,ÉÇÿË =ðý÷S^}ñ0æýÜßï‘uŸåþ¾÷ ðnžÛøçyáa¯u ©Wtçîs~å}_ùØ+~±çñIpcã¨ùmþQÜê>vίǮ/=:íÀÍ­Ov£áËà™êýÖ‰5O!/zX\ëˆß1?ùÆw剻}ßp¼í9ÿ³õPò)n€ÿSºö}I½kþDÝš¿£Ÿô yÉüôèšÇâN~I;‰ݧ³þÕ>7ŸcßÝßqýH~5žy›=?M?ŒÓ¹q±§Ú=ÿ»êdµïÌëÇÈéÊð0Æuî!çø“KØKã­ñêWßÐÿ#‡›ô¡õ¿ŸyûÿÕõH['Þ¼¨8¯ù ;íüœq⧶o¢vï¯ýqRÏû‚Ç ¯zá5|ãéϵn³x08q×k·¼«ÿ=~Ä‹Úí}å;ýî:‹]çÏ®ÛNqzøÖ‹?ŸóÜñÁ×~ÎÅËõ{ú›|fü¥¸/Ž·LžÚÁ«<äù}oòšâäð ãý"Ïêiy©ú鮺ì?yÌêá‡ú¾íp‘xdÜøn¸¦ë?øéÆñÓï­CèOùC¿7î<ä9×zÇÖ——ƒküßu?«åÁ™­Ì_•õœÖÚ>¿|åÉüaýKø"÷½² x×óõ+øèâ׊#ŒÓu±›ò—ýŽSãQב¬}raáy¯}wÏó“ŸÎïÆ>/ÜÜ<<é{òêk½›yªèsèOâôãz´Ä¡æ ×¾3äî~ýOþ?="·óûük§\ïGâÒïâMøŽÉÿÈsëyõ7þþú®<=Ž>Æÿl~‚œµ›ü ½pÞ9÷ŸwGžÛÿî;ׯÄSžöáÁ«ë½ŽÕÎi÷=üjÝÁÑÇŸ­€ÏxwT7?òܹv²çZó _ÝOûÊÇá-~ʼûÄwË“¶ý ŸXÞàâQÄýjÿ“÷u}Ñêvm7ñyÏ/?aœ®;úüè·q·žs®Ûúø–qÿžìõè‹õ=­3_óœüRÞ·u‡ÈaöÜ<7ñ¶¸ë齯âüÙ?{7Þö“ÿ?|­ÿiÿ’÷^ïëÓ'~ž†#´›u/‰?]wpäöÓOäþóÚÜýâYùéä‡?Öñ…gÚ9ù{NpåÆÓ<¦ø(<Çðx®Õ¥èOñKø»±÷¾²öOÿÆ ëoã4ùô;åËûÂ[ïý§Ô®º3?  >ßû¶Áßã_´ï÷èc¿;y­C¡ÇxÉðSýžLëËÝo»ûo\ù•v['å—äCÁe/ßÅ·ŠSµcí·ÞO.ørr8ýý…¿¸ìªö|pí£ï9§_pÜÞOwÄGÂeg^ñ€ïñG{/¨¼ ~Ñõ§Ýk}$è9ç¾âʵçxìÆu/ª~_DNì¨xÿ(‘üàúN[ù¾ó×ôœò¨ðãé·8±zvø¢ñ‡Í·éﯿõÿžRüìþ‘×þ€Î¼öÝà3î­ÓM¼ØsÌ“ù Øõú×÷¥ðŸò~Ä8Ûs‡¯:¡v›—™ïææ!~i÷Ñc¿_ê+Oüóµ.:|ty­õ‹?(ndÏÆ-o¢¯ä<øª_ô›õ/ýØz^Gã-ßîèyÎù—èq÷ؾ çÿ¾gÕ¼vþÖÿÛ_õ“à=§þ8¸wë•®u Æ…÷ ?ý+ÎÓÏàÄ/æ;8~ë0øÉsýâ…ù<×ýAîú×súŸ~\ûÝé½£¯Í÷ã÷¢G×þXülìjÏ%'yx°ßû½Ö«/vý\q1\Jîü/^‰œÉÃïá¶}ìdzu䢽­C°Ž"øl¸Ž ®\½ÙõÁ…ÎíûŽ·\»Úsžß‡O‹cÛ¯œÛïÿìyÁÁ[WSœS|v~_~~í%xá¥ó|Žø³î¸ü±¼KêåóžÖËï}v(6®ÔÑ®x½ëú˜ÇuT‰¿^÷ÿsýWqž]ý$ûÃÞþ,æGÙ¥óàÔ+¾‘o×9{Nëîçïù'ò/~̼l¾§<§ù`êzݧzÇžxúØþdœÓ'ý*_G¢¯Ë‡Sߺ¾Ç¦ä\?þ9¼úõý*ñíüßE,NпðIpÞõ}ý‰|'ó»ï^\û;ÒÄ‹W÷ð§]7ùî<×wÞÿ«»¯ÞžbñÅ|Ñcx.¼áõÔè5ÿ 7­ÞÁo·tQ÷!žßƒåáG.^1¸v~°ù‘ëŒßýô.ùëKâãµ5¼ËõžBx€ùaã…_ÊWÅßo¿)õýï¼ócü ùöðÉ×þ åµO.á/ÿÉ_W­Û4ßi}•?Ÿ\#ÇÆIòÂò3Á)ó“ÎÅ7ã×OÏ).9úðªØÑø~ê\ø(<•~\ùþ ø¾øܼ‡·¸ÞSŽý.þÓÏØÉÖOêWãxqƒø™c÷W™“+>¤ö|ùôœk¿Qãg×]O™úÿâ%É¿…߸ÖÍ6>“çˆìH¿¿$/¼ögw^|E.ÁU×w?›'÷¹Þ÷Ä‹—ñ©Žìpø(u’ÉË|˜ßæ_âyâÿÞ5ïúE¿ƒg>ÅÏ\ë³Íûb/ô½~Ñ‘ãçÈMÿÅÏöÃü¿î(>„~½]ë^ò»¸ðÒöÅ1úðÀ[´.>¿mÜåER¯¿ê î îžœÙg×9¸Ÿ>oó_úÿ^¦|×Kô`Ïa'Éã·ÐßϧŸö/òûpÙ‘ÿö:íï¾s=¹u‘ÎáÆÓŽý’쓤~¾ï 9®_­G¿öÝɬ§ì÷%éÑÅçÓcò—ÂSÍŽ³«ï; Çøæý±Îù~ŽÞ4ŸnmØuÖÍG¾d}ÉSܹúÝxïÆ^_'¯:~ò¦«Žlô•]O?ÙÃüKqXíÂ1õÛÙ[ê|/yîKüÐõ=Aýæ/:¿GoÄ¥ëýaq ùÇp!=sïÂW6þ—ßé~}dy©~ЇÖM¢Ï×û¹¾ëÁ—„'Ú÷Äé{í¡|zðø¥¿üsó®Öì¼õÚ«qŒýŠ[žGÞÚuî\#ùÁäÓxDŽôƒÁyôR|d÷©—^ø!þhëëè·õû©w6ϹòƒÖçÙ~RÜ_Ô}í7þäkOü}߯næÿÈÙóš÷ò/ÎémðpëþÕ¯î§ï»TÚmyñ®Þß:zVD¿ÌÏÑ»/ÁÅ׺$þ¡<à9NŽÉŸö7ÎÌŸñ4~™öNŽÚ¥w­«t‚öÿu½ÅµŸBìà ‡—¯\¾a|É‹s?GþWýÒýøÕð,ã ô·ñà¿Í“~výþ—þ•ÿ(6ÿô˜|]uðÓþöŸ4.~†½˜¯ÖSÈ9xòÚß¿ëU‚/žðh÷ÿN,> oÞ÷ׯ}tÚ¿øéé]ñ}q0?ÓõP‘çäqâô§ÊM~¿ð#phòû«>Š¥Æ‘|x~@>‚ïªþ&^=Ï›½Òâûø©k¿Orןó¼íGR~6u˜~‡hýN«?Ýz®òå­‚7¯ùçªßGoú§?â”ñvý¹œ£ïÛ]ëâÂÛ_ûMynæ×~æx=ø˾è.ÄgæøÓî»Óï_Ïø÷¾ž¿xú¹õŽp«ÿ;žqïþ^Ÿþ­oœÉ?û² 'ÒOþ9¸êâ9ËÏÑ“ðX¯üAñ]ã!}fGôAÿô'ùr¿{Ù÷0¶®]|è:”ðñÛ |ûY='õ˜âê‹×:ó°uåÏ‹“c×>æüjÖãÌï·ya'©·~ÕŸàëòw×{¦äÓúDñqéŸùåŸÉ;v=‡ÞOÎodž^¢'û\óbrÊûH›ÿ´s}¿:ypëZÓƒâr‡S[g"þµ¿ëgÖ¬ÿÆGþü#Ü]~B»Áë·þ:Š÷ì–j¯xýÁžW‚{ç·‹'Ê;_Ö\ï!Ó/z—8}_¶zJ>Ök~ˆOüܧèqß#™àGô×ó\ïºæµáå/ÞÚx“WÌ.+7ã2ŸÚn¿æ‡ò{òªkŸ#q¼8Ïóƒ#»éú>/¹Ô/™¿ð`ËØç¹~ïÉÏ÷½²þAÞȆÇ\|WƒÛæèË~ý»÷a¯ý‡È£¸0~zí•gò|÷u>¯Fß‹³»îrxC]¡ä%¿½äümýN={øËu‘K¿g9?~üɱ«Ÿ~"Çø±Éž­^/§ý‹‡ï¸ÎxúòÖϯýQØgý~ñZüíµO…<¾y¥£çƒ:?qìýµ¬gìw§Ç³Ãæy®ó»öéøÛ|ÜuæSÿ’oß!/ãt®ÿ™—í§U^ Ž…[µCÏ‹ÏË‹§ë_ûÍ·›wö¨´Û÷(¯}Z“§—°ù?+¯Õ?¸™|Ø~ôÌ/ܷñîû“Žð¶ûñ¸§ÿÑg¾œ×=ó¶úü‘÷U×?ý* çî:ü,þ¯ì¬qºö)þeüž»}%ÌSór _ÒúÞõ^²v›Ÿ†½x½à«ÅIv”zòµßQê„Ÿz=ë:èåp9·¾^íÚ°ë;ʧWpd¿ÿ5ù‡²'ýã‡2¿Í¾Æÿ,®¶ÎEïå«p ½ žœÝñmOÿ"׋?Î|_û9yNõŒ¼“¿ŽGhžî¹Ú¡/ÆeåÉ—¿OyøãÆ·‹?þ»ÞkiüõÜððaqä×sýkùý{â/éuñ%?½¼Þ«rN.ør8!qæš×^wëÑÂg_ßy«<o¿Öoã«~´_å<猣ïÉÁÃgG† <†÷ÔÙÏ<^û_âCýï‰7ÄW¯þ ?:^Ò}®sîúò­øNz\¸:lùºúoþè ÷ñoò÷5.¸ž]Á9Ú'ÌŸø(Ίkì9u„‹/ Ÿ3œ¸»ýYŠ«<‡_À/ÁçxšäGOûK^ëþÅëÔ ö^Uë5‘‹û†[á~¾~4|Àâü¹ÿÍ9?’yíúÑÍcy~,x¯ûlÔÏvîáÎć«^CíýŽ^.þ”GK>´}ºÝw®ï÷¯}÷O¿Ô™¶þºùSλi¿/ázLàTý OÞ<¨üóµOEðÓìµz[Ü>móENxäÚ=c§ôñqÖ}“[ñ¡v‹ï]Gè7<¡=~´ú/.Ò_~¦õ)ý8ýWo½êó©[Ž×ȽuÙæ=åÃ:oWò¨ë»ìž_uêó·Í˵ãzíÑÛóÿá>óή‚߶Ÿ<\À^Ä[vTÜ¢Ï->Nô¸çoó~$××}¨?H~»ñ³GúÌnè5¿ /0ÿ‰ÿô¸8që)ôƒ¿+n©ƒãºß|¿·rÕ]ù‰ú ã+?§ß§ãï›Lÿ"¿¾ÿ×} ZOy‰~uŸûkýhê6‘ãû¿w–ÓóLžÎ›¯Ÿù|K~Û¸Ôï¤{îkä—ÍçžóWò}ˆŸ×>ëž{äüÅóã—†ï“ço}Süúõ=)óMñ`å²^k8Á}úÓ:uðòü‡y®½yNø5ã½p›ãùÿÖ7–„ýnƒ+sÝð^yDχCk¯ÿ/n|±}nóÂð*×ûÖâ¦ëèaìòZ‡Uþ(þþzÏ]ˆç~°ùøõ~†ùo<_~}7<×O¿ºN&ùÙSüêý‹'ñoÝ~|ÜžçzO½°3ã3È¡y½û¯ºLâÞðXÖ£tÝÁÞ‹áŸZ?3nñ38¨ßE½ößÀû”G4žä)×¾§ÝùÝ´?ydB÷y­Ü®ßÝŸ|jûyˆÓžË^à*óæÈ¿úòöÙkx™îO„÷ßúßð×ÓóÔ“.» ¾¾Þo§é/=0ÎàFúôµú|Ú~t½Y¿ß<^0yßêÁ‘ÕÇ/Æ>fùmpßµ¿%½nn\‘ç×sÝ×ó»÷gçü(;eÇÖ9ˆ§žçHÏcÿ_ð]ôZûžÇNS´¾“üqëcºŽÊóÈÍý®‹ß¼ÞÛ>ú±}9‚‡®÷Ýô猫ûé¨w}Øp²q?à¬í[a¾È9uöñ‹ìT\⯲Ž§xiò3>¸‡ÞÖ>³dz‚Ÿ÷\ý?{^òÃ~_wüJëÔñ;Ÿâ÷Çß×âqb÷³ÿä‰ý>Àêì£^t .®ÕŽqy>ý;~dëméox”kŸ„â­‡õOWüªþ•çäïè·ßµ¾k~Düdô¤ußòáç¯õûôÖs³>mïù”o¡g~w_ógñ&ë®úMã!>©y·~ý?í¾%wÏÓŽñ¸^?/G/üd=ü—?LÝiqõ7Í<Ô%ôó+¼ NÜÕ8zùuóFôÛ}þnø«õ<„còݾ¿Ò÷$žÖõ{’[¿#N“oíYûúi\â\S^tutúJß™‹sôç\÷ªÿë4Z)^˜œJç÷âOû.Y¿¹}Úƒ'ïwzD_ør-Nú=ºÞwïÒ|¦ë´Æ«ÑwöÞÀ÷íºn¡ûq-îG?ž¾kvñ˜Í÷šÇw\ëüSç{¬—e§Ís‹ ÊϹ.¼ÇæŽ_ZOd¯ú§S>Ûó×Ì}qÝé?,>wdÇüBñbq9?‡ßó=ýò\y¨<•ÿÐ=Ÿº÷R·ÉÏùÒî—ØÓKãŠÿÓwóܵ÷èñ%Æ?Äӻ⠯¦>qùqr5?âóùÿkðå¾# ì;õ¬á\xJ7Æ+º/uÒñ Éû÷ñ"ôÄ}úYÞ\œ¢Oô:r¼øhú ?LœN–±[<y˜§ä£­O,¯áÙë“°OëL'óÃÞâ·¦‡Ou Ú[ñ¯ùs?=Èú“ë;Qæ‡}Gýsìvïo›OøÙxƒ£ŠO?Ö.ñ£ìP¾þ¶ïQ^¸¨ÿo•ü¥<é—ÓÎÇð&“{ί}}ãÏé8ü9ì:ýI¼é{`ݧtõ»òü’8UÞ6¼`×ùÌÞóü­»sL=g<ÛéÇÿ¦n·dþVïß·÷¶þ=­“Þ ~»þúùîèí»3þžíÿŽîsÝ9ú;Å,¯ /·ùdϵ“à©‹Wl¾<Õõzp4>iú`|ôÚõ­»WÏéWüf÷Úzžà¬ùoýêuôö ×»ùÂN¿¿oŠε—ºÈžgœåuŽüà…/éÏì]ÒÿO\ú»ï~Ê<gm^ø©ä‘ä¼õHú“xv}GG?àŽÖè…8•¼ºzq}Ÿ$ã™^ç9×÷œðýƃG6nÑ?ó[~€=±ïðÈã9»ï½Øèe×}ÒO¼rqNët׺ú¬^HÃOõû,׺èà㎿ë£úÞNßûé¾Ü}ÏèzQ?š‡ß?¬þŸzÝê—ãÚw°µ<ñª=óœ:B×Ñ«ÏOÊ_ŠO’?o=Œ:d×Ò/úÉ?{ô\íœö¿žãó ^%ÿ|ÜÞuÿ‰#~ú)ãí>ÌìdøÈüÒ§‡zîp³öŧòž«zü³zPðÛâ]xI¼aß?N4îgÚ!ϾtøUŠs#ušknùUÖYMÅr¯Øûj}ŽÞ%î~hð÷êðÇðã±÷ñ“p&~ñô«ßi~Ä_žöw„ãý®}õqçOõöÖËøÑÕÏ\®õžåÈŽIün¾»y¢Éž¾ózñ4Ú5ò ñ†]çy³7~µ~‹‚w؃ç²÷øeùèµO.;?ăÆÕô{ûséxçðØÖ‰ÁWpiø¦Ëÿõœ¾›¯àß® ,ÏV\ÒºÈü˜úÅù½ßI¿¾ËKïøq*yÊüpòœ~çxþSÝ‚ÜêÿÌ!¿—ã;¯¸ÒúÜ¥ÚÑ_~¬¸"|ä…kîýøÅ|^œ¾Ú¸É/ùÄú©_æÁ}úENüIÆq}½8É}©{™Ç/ÅsìµvÍN̯cüÐÅÆ_]ë‚ù Çäéîóœø›~ßìÊ ÍŸëÉ¿8G|#zDÎú™|ðªwŸ_ß®þ%/é~×~¹üÉ‘Ï[ô­|~¿Ó³ï†øüöUwÔ®ß[oÿù¿àÔ­/å—]ûÛú—3Îïæáüx>vö„—·Cù6/7þ¯±÷î¿(nlä!¯Û:ÚµN½ú¿÷9òš]òóô±~þH=ä«xÜ÷κÆ£]ëOã€üL<ԯƓê¹qgʵÒyyÉ]ïá9á¹óõèkŸò3εs~wÿîƒ/ý>^òŒ¶¯%ü8Lžâ/9ŸëÊÉ#Äa÷‹«âipûµèÜßõ9/ô"v"Þüa¾µGßà¦ä½ì|ëïä«úWÞ@èsyöéùÆWFŽ±›«>î¼~©õH~˜??Îøß‚Ÿ¦çéçKƵ÷»>>ø§ûÈÏδç9ìÒ¼xýªü×Öúк+ÿ—›~žûæ?’Ç7íý@v—¼ð’—~v¾å‰gýÞÕUïƒsÂó<í·w­Sß~í­ÿÅeôCÉ—¾&_øT<ä¾ä÷Å=ý®d×6Ÿ¼ÖïÃx¹æUòó[¿@îòp<#þ5ëCº®hññŒkß™ãÿØCåS|Þwú‘çÎ/kOÝ¢ù¹'žu?ù7íÏ]ëK‹¿RÏè÷Ž¯õ;áõ§_»úþªßìzMø~ëfè'{¬_÷{ô¹q¦ûÝ]ï55O‡çàÁ#ßg¼Þ¿Æ÷•÷ëuç\Ýyü$¼•p-¼é¨Ýò“pëù½ë>û=áRÏuqô‘ï°_ï)/¼K~áS‡sÏüo}¨þ ~÷œûÒûÓÏ÷§Ý_O{Ö¡ú.ûu<÷ÿ|´¸C÷‚[Ÿ¾¯Õ}8?Ø/{®ƒÃ’¯ÝäçŠÇô·ñÒºøŸñ¤žS|ê¼¼’ÿëoyþ&uï¡nÀú£ð×÷?#Çñ/æƒ<*÷æ#çºë= ÏIqí“œyi½qøD¼Oü[œí¸ÚOz§ê¶ü®þW^üVñý2_žsú±xþ²ëȶ>ļFO¯ï¸À/ÅñïÓgþ=¸­ñhù½ ÿ}íÒ|—$+ŸÑï( ³ãħkPÆwñw®K>4;„r]ùúáãO>Õõ5¿qš'íÑ#Ï?v»÷‹£è“ßéKìßs½c\p˜ç„ŸX=–ÞÒ‹ðG×w®Ø¥ñ›·àÿë}úð,}ßzë³:~ók½­~ð ô—=…ç~úÞÛô yÇô¼ù«vÛ~ìêúî—ßç®ïMÐ+ãfô‘þ‹ ÇŸ]ßó¬^E¿ž¾Çûô~ÎxKúàwó›có«§ïšÁ»ã_ŒKœ ?#ŸÙõÍ+ÃßÇ—ØÕ§‡q^y!; èx‡è±y>u½o¿?²ºPÖt_Í÷ðÜyÎêùG.ã[ËË_ÃqðŸïñìw¸óÈw<ë{½?Ÿ…S{_ð·ÿ¿486oâ_åM‰ÃÍs¶¾ˆÿIÜ>¦ÞwÕÁù7ú¢ßì/|„ub_Ø7½ ¿\>cúÎþñÈôíÈaõú¬˜½Š_ü…~Ã'® ¯±|;¼qñòõý˜òsÆuæëƒy{à}¯}ÇÌž/õš§÷ɺïíµ¾ N /~ôŒ ïx­ç!?Ï3Ïâ«8G^î ¾žÿ?ãó~g×/^ï«è7}Nÿ÷ÿÓΗê¯ëÍã™ço•Cëünø–ë;zäžq}añ˜¾Ä_v_ÆÞ·u±ÍÇÔÅGþÙüyžû+ï#ǯõúãz¸ëèùÞ[õýÀ¿™z×w_¸—ñ¼øîß žwÿ·å7ôB~dþÊߧnÖýWö¾Zñ¸~»?~÷5ã\| ¯¹ï{ãá58O Ÿávý_ñá®?óï½ö«Îïׯ~‡?Ýo–ß5.ø²ë¾ÌëÑ×/xòòþæ/8ýó`/§}ó6<Ú™ýÑïúSý¤gÑ£Ù}sL=ë|à—Ô»Þùz_ôÉ®ÝG.Áݵ¿æýþPó¤+¯dOᛮp {?¿=ýßúð;ºø›à~ß»Y\NÝpë8Î|¼•O“÷é‡zuø'8B{ñáÉWǧe¾—'ñpù´nlüæUü¡¿Ú+žâÝ_¼šøÞý ºßÔõýríÑÇðUçþ/Ÿ nµ?¿ãÕu{ûî=>-yêô:¼ðâ^ðC×,]ëñ†ø÷yœ~„¿}ÓÞù}y=­Ÿôÿðí×üÉOcüõn3¼]ëø‹ÇÆÕ#|Öùvn¾[¯†ƒâoÇ3%ž²Û—ø×ñ°ì–Ý„¯»â<ÿ¼ê%þ¹ùÝìœ=»Ö=+΂ûÊó‹{žŸüiò Gvž8Øu*k\3ÏñÁ5ͯV‡H\~'ž4o¤Ÿë".ûÒŸ¶c­g‰—á“ÇהǤ'ñkåËgçì!¸póί´_™ï§ïKç¾w¿T^â ?¨ÝÌßpWpeù¿«Þ~Æ¿÷~Îøñ«Gã%µ{ìÞ´ŽÉï¿«Û':?ãoª_êÜg¼ûæ¹îZONnê‹ê£æ‰>4eWÍÿØqðdß·›½ÈÓø¡ðX˯¬' ±ýKÌ7=®ß×_ö—|Ó÷¾û~âì‚þ² þ&þµ¼Öâ=çÇ’Ïÿ°'~Î!§Ôå‡Sï?Á/ë{äøùÔ_®÷tb×Ýßf~¼üdòÝ뻆Í÷<¯þ^è?}à—à›ð–ëgðpóèÖáÆãЛàžk?Lÿ'W8òÍϯçš?vªßô yáÞchÜÀë±xÍü™wvãHîì%zP>þz¿®ÿg_æ?¸®ïÍ/Opj÷o»ð 97o£§g\_3?õÓ|í‘ßÇ>7øcòu]xÈ+žÒkz'oÚ8bß]߸ö#ò¿ÖCÄ~ú}ŽéŸy“¯Ñ ÷9òÛü5¾G¿áà‘­7'ÇØÁü«yM~®ÿoÕ×øKïÁtŸ¾îçz½Ÿãêiú>AœX^ŠåÍåMÚ+Ž.Î…žüʹÞ÷ fïú½¼â³~˜¿Go·÷ÿäOÓ[Gþ¨<{êæ½õ¡åkü}âõpýJ^»uÉÚ//pÚOX^+¯èºó¼ë¾s]qç®Ã+âµã9çÿ;ÿ4O©Þü»ç¹_»‘Ûâóåæ]g¾´Þ+žâç\ÏÉçÊgàé ÿ¾dxêôs¸…y¾y§?î矲nrxQ~OßàvÀÎSo—ïÆ﯎W\¼vùÓÄÍ«~¬]rm|«?c§ÁQÑɫúý®ñ®âdx­kŸôäkû®™º„y o·|#q÷ÊWû~Öä 75®•%ó^­øw¼ª:IxÙ ÐýãGÃû¶®:ÿY¾ŽÝj'x¡ßÙêwºïþãþ®Æ‘x¿8–üï5ý˜†Ì/;—´ü~í—¡_â»ä¿´_¹ùLêÏ[ÇL¿‹éWí>u̯ډ¼ß›ý²C8É|þí»Cæ5|âì®öbþ«êÀôß|h'ó0¾/~¯r/m>Œ‡ž¸Ÿ_È}×:Ý#¯/‰OÓëä×û«É{º¿ðâ_ëÌ}NíGÜ/ÈËxà™òrñ#Û׌ÞgxøùuÏ·àËÔ‰·ÞG¾Ý:"=JêSìGž;þM¿Œ7ó¸uìª÷y¾ûô×õæ‰}ówÆݼàè =þ"O6ÞØåõÝUñˆ½&¾v?ÙéyþǬsïGžqìGÂqpäùÿûóü÷p¾Oy~¯Äkæè½¼æøÍ3oöi¿ÞÓ9rÙûêG6¼å™­MâúŽª<—Þó£x„ä/Ñ÷®ÃþSw»öKŸmþ<}ÒzÀ¿À;p»L`üKõ0~¸û‰n=SÚ)NÝ÷Íäµüy‹Ëâ’ßÉ—Ü‚3®}ƒôN×?öHNì‰ßï2{dg>½ÚïZ.¾²38Ž'_þ/Ç—ØçòuýõœÖ[w‹ÿŸŸ×Ø{üàô-~çúpã?ü^rë6Œ›~——ß3ù•ï+Orä»u¼©Ç^ßç¨>·ÞÍÞÅýq=½&?8¯íy^øæµxÂüy>BÏá×ðT­?Ì/Y÷`̳¸Ä/™Ôg¯}é]ð÷µÿ&{ÄSðyîÚQÒ?þ!ùO×#ÏÏÖ_šz—g]Îò@Ç௭ïðø.ó4}oœýü`Ý}uòÏÈÏ<9O^0»£oðXêNó¿Áᯱ«~ß®ë\¯÷É#<þülû9WhþW¿äXþ÷!ÿÑ/ý,?¤Ÿµãðã-Ø£võøÈ3|c¿—±8â:ó¸õ=ì1ñwv¦]þ*qoçiov#'þΕ¿5_üû…oÔ‰Ïÿáµá0ø~ÄÂsøÇ󜽷 ‡â#ý~ƽýŠN?·Ÿ'\èºãv<òYÿü~ž³vñ£ðë·ýA§_ôúØËxsv—¼¶ë—øñÏÉ#ØE÷wßb~üßs›¤r½G&žÖï9®ô¾vüp½ß§½úú×z-½ågäñÆ[<.Þ–&/ö?Ú}ÿ†O؇vâ77Ï™ò¿¬_ž›<øÚ÷Î1_ÁqùäÆÏÃÁòazg<áÓ¯ý]Ø·qÂKì\ù­ÿßï²Mù[ÿ¿ŒÍüÎóká¯uÂäL.î3ú"¾ëOë–ðüBùG~WÞhÞÇÇË’kðÑÞc3¯GÎÛ¾óa^#ÿá}ö~ö5z¶ýÅÍSÖ‰Ì/Ä®ÇG{np&üß}ü·õ.¦'ú ??¬Y^£_ü ½‰üWÿl}‡þ$o]]}Š‹øÏu$oÏW·aWñŸ[wO/èWâ÷òÛæ‹Î›w—¼@¿Ùuø¥§ïÒö}óáÈ<¿u¢ë½vP¾8yõâžöZ‡ñ\òôüs\½™]Âá©[t?·Öû—gˆ›É¿›GŒ/qñпÆíl~é­ye§åô—]‰³§}ëm÷>ýŽX{úÃé\æ9ç¸÷ø!~Ä8ýίÕ_Ê;[¯Jlx1xzù>ÿïœ?u”Ïgž?ÇþGé»I>üþK~·¼3óÐüpãàÇøµøîCXœäOS?š¥oäV?ÅßÑoþF\Kü[;ñËóg­C™çäú!ÏèŸßƒ;6¯ðšÿ‹Ûå“ÄOã þ»â<{ßÅ»àË®Ï.eOÁ»[!žÐzÎ^Ø¡ù7.8…~›ŸàÚñWôÆsr_×çÑ_zÃÑ7óŸø=ýcá†S´O_’o´Ž±8ïÈÏÆô»†ã›Êë°ã1îà”ùqöhx%~¹ïÝÏoò_úOoÌ¿vè=b—‰ ›‡´w­cGøqã·èiø^u¦Žÿâ'èUòͧ盯Ö?ècã,ù$ߟŸ¤_úa>û~ÃÇ—ê=ùT/Ù¿áÿæ1¼r÷ãm}àâÈݥ[?è1½;×ÙkÏ#þßs+zòÿ—èUq ¿tŽßé—¼Ž\Ž~=íû³z62¸qG8χ:/ÿxôAû×~‘g|êÝãÝï¼ü$œ©ÝÓŽ÷¼ôüÔua¯Ñëký´û]Ÿü{<™ç5¾Â]üVò©ùq<²þ…¯¤?Û§:ùy¿Svícý¿ö“3Þèÿüó¬_æŸ ïÆŸÑŸ}?‡œàÃòµò5ßäNžyÞÞ#gãW®¸Úú¦ù!or Wò\vÃñ+ô—ý¥NÜu à Úg§Ú;rÙwTÂÃlß@¼”øÉ^²®arðܬX½Ÿ0òo?;/¾¤ßñÍK‡ûƒƒgçõçÚ38^g8 ú:ùÒCý ~~¬_ôž]àCáÍs½ý)† “ÿ_v»nvöõ·|ý1Ïp\ëíæ#üåÖžçÁ­—^'ŽuýN×c_û»†g[¾`<žãÿúž»õ«ÎãO_—æÇî}Ó#‡ùóðÆó£áCöNýìz0ü†yO¾½øbþè¯ç;ûr¼›žÒk~„?LÝÌ~å{/æ\?\·¹^üáÑãkw¼bñê9·/%|¹õ›GnÞóÆwn=¦þž~õ»é[gyúé=o|f÷ñ¥·üKÖ#t_…ÙŮح¸Æ%àyæ=&/[¿ô§ëBèüÑütøϽoýš¾4OKü»¾ŸÉÿi¯Ñx˜på\¿LoÃÃø>÷žßqÊg“wuâêåÁ™¯é'ÿ,Έ Ég†óÌ_âÞxØÄÉîG¹¼Q|ÀÈÿx®õ[{­û•Ÿ`—xöâ:v“øþF®ðIøÛ­wêzÿâ¿7<™õBÓWþÅó»®›ü¿19¥Ýæó_77ŸÚç×û¾Éû?öðBýEü;½ßºr‹¿?oœ?ý„ ».êZ'EïÍsóí&œœÂ ^<¹ùLž7üÙøEÎgÜ_£W_jïä Ç$¯¥w{¯!õŒÕ/Ò^å0¹‰›É¿÷;œØ~&®/_áÉÉõY?³÷ #ÏÙ¯qïø]¿’g^ßCâß´/.¤>°xGH|k}ç¥zÿ¹v<áÄÕÃSîû;g×ÎáLøîŒóª—ÛŽg×÷zÎ}[©½^ï_žþá5¯}ŒÂ‹Âxξ×3yáw;þÊÍïÆg<Ž•—cxák?ÍóœÍ[q;{T;zÚ¨ü}íéÊCƒWo€³åì‹=•ï×?q6|×üvòªkŸŠ£_ÅqìôgûþÇ¿÷{mÃ×äÅ/éã²ø¢_~o}ƒÜê¿ÉW»ü—y4q>rîºËösþ ¼JãëKâv÷χv~‚{¯ï$ëyˆƒág‡÷<Ï<&ßÞ¸Ãu½A÷o»¾§xÎÇ‹ˆk»É¶ŽŽž˜zÕø_ÞÎ{ˆ+«Š/ô)òÝzLíÃa®‹¼.| Gx¼ë»ëɇ·¢¼l×=ÂßÕv‰ÿeòú#^7¿#?ã!ÿêEð¢üt|™xi~ØAq=4ÿü…sGú{Ÿ:ßù]¸B~|º}’èwüܵnþè_ßÏÝ:ŠÓÞµîYÿœóëüGyþ>8¤~rëhÔrßðTâV÷‹¿¾ß ?*n=ãü–:=3îñˆäÄoðÓÉ£–o‰»±Ëù?ziœæß¼™×Ô?Z\ž??{ɺ¾ß±uNáOw¿dÜoì—½¶žãÿæ)¸³ûÅ÷}‚~—mþ-ëFúýŸ¾o×÷ç®÷‚Éø¿q…G™|ÔËáá3¯Ã¥pÜŸ9âe{ŸöŠÿ<¯íÀÛmÏQ{ÅçÅÛpiž3yœóÅá[®}¨è¿øö.—õÃp½hü÷{ñ„øê~zzôm<…¸¯_å#Äqþ†ŸrÎþª¯Ú­>U?ùÙæ™úý´n¢ü¥8ÌÁÓäû…=±Ë£×ßØeüCëµ{´|ExáÙÛ9_]™^ÈSRwÝ:…âtzé÷Ö±á·ÔqùSó¥={Žxñ´~ß<Ý}j/¿¥ßÉŸ¶1¹‹ëáƒfŸ©;tèÖ1ˆ‡ÚI¼~©jÜÓŸþn~É!ü1ƒ#®ïH_Æ=?;¿ÞË3ÆçÒ#¸†¿Ô¯ÄGþz¸Æ8ò›åçÆï¾ðYú¹ý/Ãeêæp ßŸpŸëœ—o|Â}Å‹9njñdëúžï¹pjî»ÞOgÇô>y!9-ž·m¿ ×Ó·ò×Ñã/É+‡óñÿô-ëMð-»Î¹~˜oã+/Çï…X~ï¾Ó®ïQñ›Ë»øy2»jݲñÍ8ÈA¼n׃luüØÖ-ŸûŒO$ÇäÇÝ7ªû-ŽÅ.‡ŸèaôuØŽ‡ž?nÿþ4¸©ëSÇÑûsüJoªŸåÉ…¾'èzƒ;y\ב_ïc°ïä7‹‹äÏNÈßïòÖð"ýžâÖÑWóOOŒóÈcû ‡Å>‹+ZÇ\ÿÎóñäãÑŠÓùÕ®ûcWäP|ø0ÜvÚÛxj·ÿâAùxò9ã™_å7ésøþÙ½ñËOèSø­‹l^Á².kr ί¡ÿõKâ9“këæßsÉü‚o†·È½y¿ó»-_=\®ÿõ·ð–yaÿå‘’ÇmßfóÏ6_Kûûn™þ°kó@~æCdœþ/Oâ§S§Úxõ“ü£üâx"òÂãœë¶_汃_Îsú>‘u–{OèèßÞ:ÏY;®?ýÚ÷Î[.ÿ žþ®?ÎÜ×Þy®õ×÷ÕOûÚ¹Þw#~€?äå]_<ûˆ½u¿¾åÍæƒý%žÌOÔÿ³#íÓ?z«¿±«Ùkp[ãOqL¿ŸØï0Šü¨üy~8üKóòæõ}Ÿ~ò7^¿ÃËçüͼºÞüèxî¼q7s¿öø­Ìc÷Mì¼÷½„ͳøþmx«8ý§Î2{ö<þ$~bþE< Òx8þVÅ™à°~‡óâ±Z§£Æÿ89°Ëäã{¿ ÎâwÙQùú(.šóGo'<èµ_]ê«Û·3¼òp>ÅïG.ûîˆ8|:þ¤qß9{Iœ¹òÉ£_ùñSpþ竺±cxìí¿*¿ oê†á_·å´óÍø"ò;}ŸwëÆèOòÆá|Ü]W?«g©M¿ƒÿf‡ñÃüÀƒ>j|‘ñ™ÿøãÙ){£Ï~oÛõ»^\ÒO¸0ùÇUÅ—ò;GÎoɇº9^ŒZ¿Ìn6_üŽ~†ï]ÿùgvŠW…cÍÿ”ürû¨ÄŸ–/ùïãû¿ƒ³ëO¯ï0Ñ?Ï¡Ïô}5ÏOþØþ,>óˉ{ÅÇ_ôC<æ/ñúÓ÷è¹j?~Õø‡÷à48¯ëöýŸ3¾]~wýû£‡ÚÝ:Mx~lý/é¾3þßϸ?òn&>Ìÿx.¿ G™Gúb~âÿ‡ëÃõêFæ‹[âhñõò×—ï ?ñ)ý7¯Îø—¿™gú¨Ÿµký1‰?‹Gôoa|§Ÿßšw°oò‹ÞtÝÜäAîÁË/³^¥ùæõ>XãPôtû¶ÉWËãšx’ÿ¢ÇúÀ'Éç÷¾‰ûÃ'uýÛÓºï¾÷[oÄ¿ê/½£WøÇòqô™}§Î9?[þÚÿÙq'¿¹Þ÷véwóÖ|%yÔâý#—ðiý~éüŽçуðÕâôö¯>$¾m]Vüw÷SvÿâgëYŽ±SöÿÅ|{®þ›wóÌnè¿ï‘'?ž¸ÏŸK}Ãu“}N¾[~ ë®÷!è¡#œÜ7òô®´Ïо yîó;܇Ü~KðêùÿcÝúÌKß׶ïúÅg¶üäéÿ~‡sé ù°ÓÆ1~ùÈ£üÛ•·À§_Û/…þ²ËúEv;ë÷ÀÊ_Íßz®~i?|æµ~ZdúËŸgogÑïäWƒ—?&ýÏ:ŒÆ¿ù}rK^¶u/áúæù1öÙø„o8ç«cç÷Æ•ñÖÚoèOýcø‹~wazEïÌÇÜÜï\xúŒwÇóÜùkã£ìA<:ãŽÓ?ùÎC}¯ûu_âá“äa]ZÞüª¯%O›¾õ~ó‘úîêBüµxGŸ‚3^º>`ó§âyç‡Ê“'ŽÌ~Åù9‘³þ‹Ú7/Ú 5?¿v­ëâ¯èµç×^j_ô1¸8?þd|NüÛüVý§ûø-ãö|öTÞš¤nº÷]‡:rüRÜ›8Üz5¾¢ë(wÿyÞÞƒ1_ÑÇÖ®u8ÁëãíÄíè¿yl>ë:r‚ʃ7=)éz#_ûw½áòtëÌýHþ·ý7ë—é‰~±vÉ_‰“ÍûãgúÞ_¿·2ž°õðî«gð¯úo–GJ½ïµùùz¾~ùñ»}?oñ#¼÷ògãà—èYp ?\§Á_g~ö;¾2<âp ÿû];xH¿ÃOøO;xÆþ®G¿?ý^nnÀ™WñŸ‰7À³çðhÖÉm½œy'wø2qX]ó[òçéOó zI¯õS¼Š}lý8öêû@ã÷üßýÚã×è»çÓwG×ë?<èù§ÿßâ×'?q—¼\ÇoV>êßüãÑÛ¾¯p­:×-®=à•k¥øÃ're¯ìôíÉnµ‹7ߣyvqüFÞåïêïÉ›¿4¿ñ7Oë8úýùÏÈ¿ïW‘Þ¦þìKŽãoéy±¿àÏ®Ó/_Ò÷¥ÇÓ»¾y¹ÿ— ì8¸Ëüµ‚×\]BœÇ"÷é^’<Ãk]ëq“‘ó÷sqËÆsîßú•ÖC»N_6;"¯ð9wýTüÇêÜÅ7±¿úÉÕeƒOw4ì¶þâ÷µúeylÛçÇÏÿéùâùö{!}Ojÿ§'‘ÿü}ëIô>Ã4?†÷ý^üÄ?„÷Ÿ®â>ý¡®‡ƒüN̓xf¼ä\¿Òùo?LÏbOü*4}dOÎc']Çx½'Ç^ù¸Á¹8©ÎT¾ý’½bŸôQ;æÓyyõºæ]ü*fþ‡ßc—ËKÎ|¼?ýÝ>ççºOûïá²sÿ¯G_ðš{¯çôËþ”ö]‡çìÛ§nÿÊÖ±Ï8»¯äµ_»~ùÿyîÎÛ.¾ÃÕñ§Ý×íªKò“ÉO§o«ü[x‡á ¿'ïñ]èOñ Ã]‰ÿÛïÀIG¼w;½ågØ;Óïèß/X¾‡§ÎxÔõÙíâWxº/•³þhŸ¾'žáWË“À/ây맬N…Œ¿x`r8óâØïK]û­h'<Ëü¶¸zâµ^_>ç¾àÚë{–ìãŒË>å]GØ÷•¾äÿÓ/võBËË;à÷6ÎŒ>òu^w_ò¼ñ*äróÏNÈýgýÞµ­ëÃÛô{nðÀpHê“9ø¿¸lüôƒ¾„—ßýü¬ù#7óèyžOïËç§.ÒýH¯÷á[ß"'úlŽðVü÷Kì½~wÏ'Wíw¹~Ò»4oɳ6ÿü‚ûøáijá°èçpûÌú¯íÏ9_<=ýžŸéóùÛ®€ïÔ±ùËÈe<•ÿ›wÏÓ¯s¤·ö¹Ÿ~c<ùKã^p9<9Þ:yåêSâÒ9ï~¨ÓgóHOO?®up^ÿˆWôÿóûðap#ü¶öÏï{ÏG{}NðãðâÑ£‹G}âWµsîӟŇøÁùóY?KÏR»ÖÍ›x õ;÷ŸþnßzÊNé—óðôo|¨yeßüù—¼póÏ_ÓñK¾óÀ«.ž’#¿žu[ôqõóúƒø‘­+eÇòRã!Ÿóÿ7v’¸î}¸á9óü2;7>~“>À}©7-‡ávh\ÁM‹—G®pöâÿÎ4þ¸Ÿe¾»Ÿõ®‡oÎõò‘ë»BÆÅÈ;¸¶ï©ñ7xûá¿ðd‹w䓸ºý@è-y&Éúøÿ.ov`¾È§õ@<»•÷„Ç.ÅÛˆÁµú}íK ßx€ä¥×­û‚gŒç²Ïsß›vÙ#=Š]ÏäìÆü”_•ïß/.òúÉžÂ_²Ó½ßC/ÄGúc\áÛû¾ãò2z ŸüDì׸ÕÙçŸ"qgzç~ãn=^“?½ÔOwxà¾'7û‹–çºÖ{?àÞ~‡rþÄxÍ3{0^ÿ7ïG^ìg¼9¦ýòÅæ/ùÌpšû·vÍÖ¿À©Ñ£ñ/ôÊõŽÍ'ô[ü¨<œ§nøÈ&oؼh‡^„_œÿtNÞßø7vEžÆM¿à9uo¸ðôg¸ÞëÑÿÿîº^_éwÏO{û¾å9¾;ÿ§Ÿp(\|û;v4¼ ŸºþØÍxÍ#×ë;FùÿŽÇŽgõœ3/ï;Îàñë½ù£÷ã…µœ¾u­}>»aáÇ_%Ÿn]Kýcy¸B´ëÿÁÍ«+ÐsþH<:ö2ÿ Ožþo½¾¸gË [7`‰»[˜z^yÓÕ'Â+¯Îüèêá-Ë;îºð[¯¤>àþøéë;Sü[ðüµNÅ<œûèÙx÷'þžÀAÚ£WätÚŸ>TÏÔOø[ã 6ùýWŸsýõ=kzAŽì¸ë6]'ŸÐo¼(=ÔOù19“_ùùÔYÖ¯ø‹ñFþ/Îà[µsüÊ×ê¿•ux‹WÆ}ô¾ø$ã©?Mļm>Ø=ÖŽx ‡%oÿ Ͻ~uÎéç[åMð~úÅáÄòæ3öµç±ßȯ߽غVxí\7®]þ[û­§Á©ñs_GÆSˆ3üzy qÇQüJ>9^ˆ^¥~yíëÈ~èSx§ò «;'^u2ù&?@^úOìÊ‘åOáæGš¯$ÿžŸn]ÝY<Š½âI6/ŽäH¾òópä·uœGï¶N´¼&¾Þ<ú1/ ǽxämÝéîsÄCžs×w?Ï‹/.{Æí?n¦ðó—©WÏ>ø‰sþ?Ñ+~%~oþ >ÈÿÙ[÷³»ö‰ËúáÚØ—¼~|Xê²×¾Ãô™_b_ÍÃÜ'Äþ·Ÿ‘xËO‹ÏôŽ ®í÷¶¾ŽçßNWd—ò*íÄO¬îã:ò»Äíâ"óÍÿ†¯ú|wÙWüãpGðAßë½òSüÜyþ'x þ®}‡×›¿Õ/òÿªÞ-~™÷ÌÿÞ ¢ÇæU|žØw7á°ÔñV›wr…{<—\ÃËXÿ¼|(úgÝòð­ù‡£GŸ‹¯É“'‡úqý¥7ð‰:™ø¢_ûáÁékæ}ø×9;0?Æ¡ŸÅ…æKü¦õ[Æ«ÅSчî Ýúàâ–yO~3?<ÿÊOfþËÅ/9Æ®î[¼ÀO&?z£Çæµ¼hq}¤Oäί’£y1¯äÆÞµwÚÿV~ýÈEÝaþ<~oõðÔÙ6ÿžC?Ã?mö=IoNÿ¿Çîùðšù€×á0ö@àHö€H|Þ:ÏYÞM.ç¹_ë7Ã#-¿ë“ǬÞàº3Þò"8Bûô-üéÖ‡z½ /:ÿ;›>™?σÏùyóLïè“ëù©øö~­O*otÆ÷ói¯øëéÇðÞéïõ½xî´7<êwøÎÿáDíŸþî{?§¿{ÏÝuGnã=³Á¾ñŽ¿¹êÇú%î¯%¾ýô½¥Çâ±8ÉNé‘:[øésqÿN>=Þ=ùôµ¿ =¢¯žk\ì¶<}xËé»q²ËÄ‘½ßÈ°Cxn<ÿ_ÞM^ì><ÒÚåOôÛyð|ùÎÕ¿ø-yûØ!ù™ä­Ã÷Æ/>Õ$ïl;Ëóï_ÌFø‡øÝÍ+¿/á%Óc~ÈóÅ}~€?Ó®|$ñ~xÔüñËæQÜ+ßÀÇ^^ë‡ÌÿÝú?ÕzbqXêß[ß=êz²­›þ÷ï³÷îsr;qbøO{ì™}å|óH¿õ?üæìî•Ÿ²7ñ.õ/8yv-¾°ãä]ýÂð'½>㟧쎜kì?ðb³GëEÈÁ|•· Ž»ò´â$ü\Â.ømy5ûNýfvK^ìF^Ì~O{ü÷Æuî‹|¶Ÿ¾ˆ½è½ /¿<Ç<×áEͧøaþR—†CðÖ¯‘ëËã½ð¥ôÀÿ£W¾«1þT»äªýð4Ó~Þ›wã«_§ïì8ùhýÿÖi—þT¯¶‹=‘ë9ò0<ý0ò0ãKþsíË¡Èowî;&ü0£ýª_6OÕ§ø‘ù]ýLÜ´>ÁþšðþQ{xïÌÓµû‘ϵ/æù¿ºw÷ww„÷ö]!uîs®^¾õ ð¤vý®ð/\ ŠKæ‹|Ìsä9½¿»<Ýõ®3?ÍÇÎq<_øññÎù§ð(òþhq—¿àoøÉä‘‹òWÏK¾ßzÀü{+oT~"yòÖ{ñoüGê`ëGòÆùòm‡·ä§Â§ö=÷Õo´+Þ{®ûå â(Øz?Ò:$ùÑ'~„ÜÈÃ}ÉË÷ž®¸ÕüD\ÖO8ÎLÜVGó=–½¤Ÿõ;úk¼ü&|’yxM¿$>í}yúl¾ÕÇÈ?yrýÞ›øEîìóÇÀGì¯uØÆ™úer5~ãd§Í¬ÿÈñún;Þ¡õZ~>|òµQí®qÑø’ÇN¾p8¹?»äéAåÌ“x%þ^¸1þ•þ çÃy•k×ÈäÚ%'yBñù¥Ž3\àHë_ÍyÔÏÆg~~9òC® _WbþA{æƒÝãÕÌϯê7g|äF¯“¯¬~nž‹ÿÅ)ó#/|à÷à™ò›ë"§È¾z>^.f±—ù-ø•Üù5z’<ˆœÔQVgh|"7ýû“kðe÷Í^]H¾“|`ï’¿×z“þˆ'pù&¯ßëz¸>;¿¯~ ?žñ¿;ÿw®ßxä6œ©.~žç÷½/ãyGo·ÿÒiovynêóWµ¯øî‹ñ¥þÔøÙ?^üy­ï §cG[7nÞÃ/Ï•7v9ñ;©,^WôlùCë£áÕæ_ùszEžá±èë×Ìï•ïŠᱶΛÿŒ~-?Êü}­Ÿ ¿²|¶úT|hÞþF¯Æ;˜wòH]öz?78eu¼ÄëÅÝö¼šßÐ+ãnûÁ[ßÈM|#_ý'ÃGu}Øâ(¼ø‹_»Æo¼ôÁ8ª‡ô ¿šüíKâÞê©·moâÔêvãH]fñŒ9ÿ'çâûáI8‚\øïàƒÙ»päÏùQýèú$þXÿÉÎ0¯áÿÆ«ñãôN4/ôŒä’wÍ£7[Ÿ™<~Ø~YÆ'OmÚñ†‡œ¿¢wáíúÞáðYòÙ}÷L¿Ùcxàñrâ_p'¿µu‡üšñëüßìñÜ·ºUôwóožÅ úÃÏ%o[Ó/×y\ýŸÐù Ü?Ùïi ‡Oz?/^ßFì&ñŒ^YWˆ×Ûû-çyøÉýÿÈa¼%xƽëµWžùZ;ioøõÈw×;úý´?\ 7â)ñ—p¦y‘?‡÷)?Ð÷Îo¿L¿Íƒú‰8•ü®ïé^û²³¯Äéî³2\¤?ì1ý˜_Ñ=r?ÞS\ÊzÕQÈ/yæÅk‡lüå ƒƒ¶ßLô~ïd}Îâ?rôdßCÖ>{£ÿ쎜ƒ[6|@óËÓ®ºþ—ø·ùcý&sþ­ü[üW×GN‡¾CâöüxùVñ(óÈßéç×>¯8†•wˆ>íÿüy‡î:ÔáØg¿ïó¤oÃÕ‰Ã9å#çè|[»¢pù›—ÄùîgãzßkØõÑ#ñO~a~ÞðæÎ6âZq±~j߸éAy&vóÀçwÿ‰åÏåÛÍòåyÉkƧÃßü‘þñ»á‡Ç7«#ëOäÞu¨[gÔ÷òØ)œ½™žGóTz˜øò}Þ> Ú§©Oo½·8a|ÅáÁ‘“‹ùÒ?õ¶äS[oéúø›âÜ+ŽÑ›èép/”<Ûú¹ëý9í'žL_‚ú]¹ísè9ø öʾè=2ÿüŽþâùà.¼žs8팷ïoo}åÑ?|áÞ«9ãØw(ñ„g\¿žñ?<ãè¾B;úýÈ/º£ëŽþìº3oþ?^Q¼O9^]ßo_eq õ á¸æÿ‰OoñßØyî{“—´N 7y—¿¨“ñ“Ú°‡Ö[×<Ÿ‚³ºïx¡òRÆ%.§ž¿ú€ûé½ü> /³}¼ù•öŸ<—}°·Ôô·ü¶ïÆÏ—ÂÞ ‡‹cç>õö/Õ r o2È|‰³ô.ý˜ul~à>í†Ýz1ãà'[.ÿg‡ÇØ>NâTøÒâ—~±ûü-?ÑßðÕƒå ðŸþ¹>uØký¾ßÃã¯=~ãôã[ùÿâzþ#yÿê‚G?—?á-Ä÷ÑSr güBâÔü[ç n‘±wóƵuÑÆO;úIŒ_¿Ø}ðôì .Ö~üS×vþö]©£æ£ïéMoÄᬨ=/>«GŠ·ì!ø|ëoŠ×ÜÇ®NW5_òG~²vìÜ|Ñví:ó<ð ³ò1~÷“ûÕïèëÆ?Ê¿?î½€ÖÙÛŸèÝx;ÿÏü¿¥~6¾™ž™—ħísB_=Çü¦??cüâDêÊËs¢/Û_ þÞÿõC<„ãèWôfó Ož~ü8ýúo7»=÷ï;ð<ý§gÆGoN?‡ãà®â¶s½ãöS/n„GóžÎ¾û¿â<®ïŠŸóîß>œëˆŸ ÿ¸þùô»“ÓOò9ã^þ ¯Ÿvù§áóðfËÛà{zF_Ê „Ÿ{xŸ˜×ïó\qgqÿÉ/–7 GôÓs‹›é‹¸¥ÿâ­x@çÜ:ôò!­Ï¾‘Wë/òZþ;þwò…CÏýßñ'úe¾R÷`/³;óõóÇü´üÛyøÅñ)øIãeÿ­+ü»½Ÿ~rÎ/4Þ¥¾ð{ïû‘Ëgü×ÑS¼ }¡ÿ©g¾¦_W¿úçõ½Ó½ïœ|jq+yðÖ/ë‡Ïùur2ÏpžU»ú[ž3õ«ÍsðGßã_|̺˜úók}2{Ô®¸%®…¿™¢7òÞxrö!þ°có™ù]~÷õÆ?&Nã<7ó;?ÙzgòÒù_vy ¯%>_ëvámö@þ™¿­ûó7ñçóß­—¤Î1BäÏžà-8¬x?éwG8®s=<üv}O¼|¨ö‚¯ÿ;©G×÷ÎáÑ3þáή¨ý–w‹Oųäã]ßÓ|xûç×Î<ß<'ß›¾ù?= ZÜH_Ïø vÜ:¦8$Ÿá¢ïÃßü™ç¤Þ4^¦öžq¸ÃóÈžºÞøá§Ô§†CÏýÇvßëñ”­CxnøéÚvÿ‚WZç4Oòæð+ó7áu¾DnãÁ£ûŽ¨ëøçÖõ‰äD®ü%¹Áúø%qwïð;ᶟžç&Z5?ìÆsäð¹ç³ìIÝɸ‚#¯ý72ß[Gþ³ß£ïþâ­“Oþñ‹Ãá7˷уî§:^›=gƒñ¾ÕŽ§øëôç~ôüŸGßî:þ×Ìóì'ò.†ßŠ‡ñݧ½oG.Žó[úc~ù!vž:á¾×sŽ[—Gá>úCßáOýbwòúËhÇ<=à¿á>¸†þ±wö¿Ó3öÀÆ¿/_O|©ží=âEý Þð¢ß¹|ÂÅÁé»_»ð/|_\N~ä¦Ýàç§þ.¿¨^$oÐ÷9æç衸uæå{ñ >C¾%>y½jW3yúð=‡'›_&žÏßÀµ­ïáëoáÁÖõN¿ÆψWü<|Ãîã[ÿÚw*’×ήÙmׄ/Ù:Lòhä(áŸÃÇ®^cä%ŽÒý ïúíÌ÷i®¿Ü:ýÃsó‡Æ©¿‰çòö͇ÿgƵþ*u·õ.v}pZçqxïdüÕÔ5¯}-µ/®Ð;8éŒsëj=OüLÞsí7^uû²ËC鹶¾žã-ýì÷$§oäŒß_5ýæ‡Ì¿ëÃçÀ¹ÖÕ}]Ïn2Þé=½H>»ùŽœko³3~ÆuáÙÆ“âÙÈͼÀÃô_\÷œÓ¾qn¿IýO\¿æ Orìô­¼¹Á#ôÐüy>|xžûMÝÅ|Á…òõ&vU|ü<ÛuPæ¥ù™q»ß¸øñðÆ)Ù~RÁûåÇÏÈN{ûþUøñÕákýÓöEù5ão}þÀÛå!£_×úrà·á‚äóó{ì“ÿ!‡#?øúMüõÏŸßRÜ/Þ¯Îãoö}nr£_ô2u™é½‡ËÅ™ÔIÌÃp} ß9|vîßùS]¾üêÿzôæú~åyþž£Ýóï/ýzäÕûáúíÏ~Î÷¾ÓùÝþOúÑý6æ?øG~®G“ïfwáe—_óO§½kx.~ˆÿµ~tösŽpÛìÎ}ì˜}_²Ï£oþ/ž5Ž»>y`ß_ž½‰úÁÿ¶Næ¹ÿYýé'úéÈÎàÌæ­Æ\V~nø|?;½vgˆÛç¾ÿ¢ßõÓÁ¿óôÔuÍGÄ“øŸóüá¼ñ+ìÑ1vpé¹#ýö<ý×_z/ÿä’¯oñèë,ã¡bö¹_·î;]¡½ä»Oéwã>Ú?¦ë ‡Kñò“â í<è¹vƤî6ÿ¨æýßóóßó×ëÿiß÷èÇx€Ôï§ÇçÜ~ßþìxžïØxÉNà€áóü5; ^šÁÅ­êoêâ×÷°Ì¿žv¼CýXù¤ä{âáâ¢~µ¿ì’¾F?¾Æ¾÷^»l¾¨ßüü[þ¹yjã1œX?œüîÚ‡Þ“³sù‘sí5_Ò®ëºÎãèï;ã¦ÏGO——qìxÚíú˜ö³ïÿí½ÃÓÏ®Ãéû„ïO?½‡(¿ÛwaÕ/̧qñ#ê§Ú!—å…ç÷}'â´·sóÞ£ç{Ù8Ì?ýIÝäZ'Ôþ×>\G>~÷<÷;?þÎüðo¾g¶ó3_¿Æî»G>¿žùª¾¾väè÷éÓé/½òß~ î/È ~Ïé|ç9âZŸ/®8ž«ß*?y‘#|ç™_8!óC//ÿ„wžü^ñRý莸üÎþzÀ¿—Ÿ¯Ù}£7ìN<†çád÷‰Óâ˜ø‡±?ítÞÅíÈ?à!v;>‚«[?q¤G™×Ýûßs›Ï7¯êß¾÷æzrÎu;÷<òv_qGý:|Ó<1õ¯î[rå3®‡S“¿ôx½‡Ð<¹çO¿·ýŒgãj|q$Çô§u¿µsîƒ ßñïÇ?¼;óïÿÃËü‹x·ùÿGx8r8”ÿ‡ ƒ—¯ym?ƒW'§3Î}ï…¾„è>ÚÚ½ð@ü¼ëËCT/ÍËÑßá§úCóFßžø’æÓÍ·Î}ïÎóÈ©ó~Ù=Ižò¤ß×õµ¯ÈåÂ7m7ú89¸ž¼jwÉ»®÷‰øàö—^Ï:î~¸o^ôò;ðø±sv'ï2øóL.å%Zç7õ;Oþ§|9‹O§Î·ùgñiOܾÎ9ÞnÇsßpý·ÿ³ŸÅ«âë‡|­Ï½òÇâ‡üc<…8M/ðZÅ7å=Ÿò¯Ä×ÍSâqù”áSx±zóäŸ<—^7ÜqÆCî?§ý‹×­<ëÃá{žüד?¹p=7:ß­<åûwúe¾O;ï!ÿh{Á¹×{‹ò;þ©¸_¿µ“¼hø•Ÿ‚üâÕ¯ôwþÎyý?{äË“>Èsïyšý)ŸÑûù r“'µä)åM6OžÓüƒ\=Ïý½®ySpíã>zO|Êßéaùðò/½O?ÚNå]þ7z5y5ÿ«V~éÏõþ®ëôãÉ<ùÑø­òBëwî_œŸÛ÷6Æ»†'Ï <ÔQÄÿ'<7þ"yû…—â?›·^úßyŽ~]õ~W|ׯð1ËïøíÖ2óüHâðòƒàôå ý½ÿwüܼeí yòkx~´õ‚ò¹ñ««³ˆ?ñ;Í»k¯äº:Nýuy ø þÌøä…ÿ8×M>þúÿ+Þ¨ýzâ…j/±›Ë?6/ìï=ÖΛwÅß]ùYõ{m·þ—^´_O¸°ñø‰ï¸ûÿþÞ¼Zó€‡Æó5?„ãèuy`<(½¢¯p=ƒGðOìÎé¾ùI¼ëò{óÀòôv¼SøŠÚãæ1v#O€cf_ð\ýã“^ºþ<ç²[ÿçô#¸ñâÍ‚ÏÚ¯ýÞ|7z°£çÇOíú‡ºìŽžÛuΟú—qÎ6.‰;ô†~=Ègz 'ÏëþßPý¨½ê¼Âs¾üZ<þ¿Í΂ƒ.Õü£øªx¬þ¡újœ©íÿÉóßײ·Øé#>//÷€wßWîõ¿ÍË+—§ºcçC{_Oq øÀø<¯÷5n–¯)þ~[Ëùž÷Tß-¾î¸·Z¿ðꃷòäßò|ú',˜§Ä‹ò)‹#ü£ùˆ7ͺ¾g×ñ Úq½çŠ+§oúÕ~¸_á›Öê¯é¡v‚ãÅ­¤>Œ¯œÀoð\•õ€×ûù½¾ú]ýÄÓö:xéÁ¾¦ÿîÓŸ¬—¸ø¾Úç/¬ÝàÒýîÈO™¿òWÕÓú}úÅ>^Ÿ2Îò‹v¶ÿó]ÿÆNñ—Î=?ñoz?ÑurÕ›÷‰ƒÅEþIüÙ|Óû¬[k½øZ'Oÿ—÷6¿jžÔy*?_ž'ø£¸dþƒÜô+ys×y\¼Šú;‰_§¿ó—µ·Œÿ—èÙ#Ž{‘÷ŽYWPûy\wEê«ìWün]ÀüÃ{ÉŸ/¹›—®+v$/ö²ú›y‹~Ï?<ñá©ß¿^ëèŠÏ“?þmý­ñ¾|X×Ñ=ñâ´ú9ÜxŽ[çzŽ®ÃS]õ•â‡<öÂ%ÅáÉ'qyüÀøQù>^-8îzNñöήߨ}=ñÒÅ_½®ùËîòܧ<¨xÐ8Ë»—ÿv^ýÐnç­ý¬ßt}õ·ý®|\ßëþŽ‡êwäðsüPã×ø¤ð]û`–—$‡‡u:YÜÜëýÞü¿ñöèõâÐow½¯#Ž/¯ž¬ž .?váx~Ôs\Ç÷:ÇàÝ'ˆ—å»ÄýÔ¾ë=/DNø<¼¸ }ã‡?Ž\~K^yåg­£äÿã õ'ñyýÐïÆïêOŽ‹k×_bÕÏØßûêqôý}ýÇS¼ Þž[Wç?j×µ—'»rìøâgúÝ®{¼žSþNܹžŸ™ÿ‡|ââek'Žùã`ùÐñäg¼Ýßxx5ù&ÒuRòœå½òÏ£ÿ³Óðà?Ç Wœvv¤ÿäk<‰¯³«øÇåá‰Ûß‹GèüðG>·ñUÞm·ü‚vä¸ü38î×ÿå?×%Í¿÷†Gšœà_yzóàæëÅýîwt½Èz<ó¢8>O=æOæïZ'X½lÞÖùâÌÇßüÎÿËÏeþ¯urÍ[ûåñàùùÇÆΆ»Î8­~¥_Åi׺¯êGm·zÖüýI/\÷wí%®]rm;•oõÁõáe®ë;ŸÏï{ùW»ñWãÙÚ~õ¦ÇòSígüƵ²óRÞ9yÆòS¸S\ þì{‘[çO§®Õ÷aú>Së(»Oǃ¿Ùº8ÿüþêÿäÒçÀ{O8näð×æ®l>¡ýð!×{O­÷Š?ç:8ñ /5n?å'×w°+—øëk=fâí…˃÷.¾!qœv=á×Ëw¥?ò”§õIWý—~ûó«ØÉÕžç•—1ç÷ÝO.ñ{“üèèÿõÿÁÅ×>É‹&ŸäUWûáá®ëÂÌ.Ä©ð­ó§?㯟ö¯ßËSµßoGó‚'^­ÇŽ»óÚ<ç©¿ò…üiç¿÷ÿ>¯þ­çÍ×ô#¼KyÂå/ÇßüüUþºë+Ç{÷ÿìŸ}E¯¯÷èðEÁc[×!Ž…gyùÌ~Ëó¨£Eî×ú÷ñ‹õ¯ñ+ó×ç9WüàŸ\_þ-8huqY;}õý£¾záˆð2Wü¬ÝÖ“?ñë×úòÿocw–³K–\陌ȌˆÓÆIÓPMAÐt“b• (±@QPs¥±qš¨¸_ø &pÒÿß}ûn¬Y¶l7à+N—‡\ù¢ÚÿÚ1|Þ“s÷EšuáqüçÂÍæ’‹ú%œ‰¿q_¾É+ÈÿõwãMyÿÚùÚ7|`õ6þê}í˜þ¦~‡|õs>íÄ©´Ïþ9×#÷ç-œÞ‚çÃYc/Ì£‹£º¯ôžü2ó2oô\úž«Áö_z©œéG©ïäõ²?Ꮎ_¼üþÞúÃñkùýœr›ŸÏNþ€üÖ’Ó‹÷7>sÜäµ+ê‘å8néÓ/‡û¼ñùUåVyòü·â·ëûâ?pÑYûÏüÅ•çg.><^'?®ËÞg—'DZrž½ZyõpHßI®óKŒ£óAÜOrð}×pë!o®s¸ò1ïŠ3ÞýìO /8ý f\°Ö‘ËÇÀo”·^ûÔŽ¾“Ÿê;áeòçËÁ·…ëÖzùÁ®â¾êÍók¾YÏÿêøh÷àí×ü—®á¿p|†ú°òýÞ÷ÁσÛó×ÆUò3üî<ljs³ßà< i¼õšs”ž6Þ#Ïàùü’ó}Öïá¤pÈë—‘ ñþÓß™•¾¿rfþwqeö¥øƒë<çïñPµ·öç§Ó§ô1ž»ñÍNó—ܧOÿòï祤‡ó>8ãWìôŠ.{ŸždGõ7à¿™’½¯^ò™Ù üÚÈ‹ø´ï«ô#®ç™8•8eÅ‹ÄOçüx¡¿Éƒü×ÚWU~]\ n·<õßúô÷#ÞZó¸åÛÄ7á@xÑkÿºÅó·÷úÕ8ø¸®¸­zÚ¯âìƒÇ¾öï[ûÆåò7Ä£kßRø›+h^kü9~Ê8Ëý$~Cå±ÜWF^iÆIÞç(Ïuýæ¹wä3fhvùõ‹ësæ÷ÃŽû÷ìð²óG½fÞŠ¸}ûpý‘o^þ•?ëÝà¥Üví«Ø{=ÿÆ}ü<à:g£÷ϾßßãòS•Ÿ]uþBõ`>Ãɇ&Å‘ÄãgZ/ïñ+?’ž¤½Ÿœªõ å?S>ðÓ£é9ñûÑÍ<ÒÚ!£ßÕNË_¥_ú»Ú[»’Cp¶ûqOÿ$OáãìNöº8©rô›¯}#¯~éÛô_ïÇ»ï½ç×¹œæ ˆïÏ}Vñ7‹oPo-Gû€Ý¾ö“]¼§~&»œ¾›?h\Ó“ÆïâQ’?püèwö¥q —}Àþ&'Õ?» ÏT\¢Þ'ñìÌg½Ižœ7áxT~òEžhÅ]Äkÿï~ï ¯º~g|Ö¾õ?qûynXÏýË¿Ï/®çªÇû¾ó˜W=•§¾Ÿ>fÓsôõ·òØïØ­5¯ ù7~‹ï)î/ž–Ç)ÞÆ_|´Ëì_žC~äÄ—Ã[W/¿ƒ}¾pÖ•:ç\òÙûÆEÕ'ù¹æY‡Íûñ~Ÿï¬ó’{ãå¾ßÁ¹K.½éyôbÅÁÊúQ¿*Ž¦^ËnˆÇ/9I®å×Á!³?HöÞåÜ#î‹O~ã¶xl~¼¼ö§+®©œÊí n_óKó÷éõ§‹gàÛþ–¿~r°ðZòÐßÃÁôç’ã+ÏPÿ‡^Í8ô}Çžþ7øù÷“3Ïd¾D>-{Ï|æS-׸Þ{ÉMòJ¯ú;.⽫æqñû‹÷,>ÃKÈS>&·ÙŸƒ§¼B|à¾ïk^rø'=KNà{ƯÉYãÞøýûõ^øWÞM¿WùàŠ‹/t?€¥ßýÝúËsV®ñ´~¯+qè²7àÌÕŽúþZõð=ûyQƒ+凉ƒ×þ;òbâWq¥¸A}T¿Ì+Êö»úm<˜÷>¼âø?ù¨ô׿×oɧq±öÃ<¼ÑÂñøYyÔu¥>k\Œ§•³îÅE¯ÿ~zãþ·ïï?½r~zåþô¾Óy?s}~xîßwº®ý)ûîaO».>´ßÁŸ´Î·t܌”ÃË?o)§ä–?$›ù¶ñ»ïwóöžK“Ÿüœr|ñþ̃ÑîÏW|“ê÷ò‘ð1Ã{ƒÇË׺¯®ášðžx³¼¤÷>çû•ßóÜÇ-¾šë¹?¨ü°ü«Ï§ÇðÀá5Ï÷pŸœµ^G½Ç žÊÞ3þ¿ª¯ÚWq\r¯?0~#^]ûãԯϮL?uŸÜ7ñmÞ×pÏ9 ?ŽkÜ›WÐwë‡÷Üâ½’óÆK<‚=?ùÇôð}gåÃá[F¿ºÊ7ƇÄwðüÚgÉò’/x¸™×Sÿ ç>âq |ÀÊï‰'§âx¡ÚŸ½âû¿ê¿¾çyŽÓ?‹|‡¸TÜU»»Šó¯üüa×ÏyGðxs½~žþÕ_§ïýÝßwû;ykÿíµ[ûrñà—?—¯Ñ_ño~8û+¯’^bŸ—ÿÿ ®\ûIŠ‡Ä#•“}°ÝàáÕ¾ßj¯Åç>ïsâsñ¿ñøo•W;ºVŽ<÷¬õAðùK^~Çÿ¹OÎ9Üþß­O;‡eñ`Ï,œóôyð±¸>kž{õŸyÍ/_Áë~¸ƒã%¾¾äÃqχW{ÿÂÛÙåÚGü{Í—”½Ô~ô÷ä)¼PÞ1œUUä+ÜŽy‘Ù7,¿šq>Bå¼zõ¼çœyaõ%¹´^úüóBÁßθ½ïÈ£ü‘q{ªÿ´þõ£<¿Ÿç”ÆïàWþ ?*¥–_ª]òùõ£¼ÏQîšWDÞËö¬¼Ê_É]y¡Éôx…ßž|ÍüÓô¨yoœ£VÜBi~`ð[ø/½G^xUžÕø­zÔþøÜâVòœÊßšg~?x“xwæñ¿×É_vοsu½ßðÌÍ/yãeùîËxç:O»öeá±]ç;ïõ÷Ê3~¿:ÏK^ÌøZ=“ï ÿ¼ñZ ¯2qyÏ5®â¸+FŸÿê} |O¼îUÏÏ|Œ®ÅIþÃ?º/ý´¯ûú±q•'3«<âݱcù›÷^û ýªžx<¿ºÖu¤G½oœ?wÿ6ç/_û¹º~qâ¥÷ÝYw`ÜN¾p8þ{ò³Ä!ëÜí¼÷Ú ýXç·á¦áq¦ü­ù\¯¼×Þê5þ“~]ùªük÷=ÞïZ9ùaÇ+{˾$îuáÕ•7É¿ˆ÷àù‡ÏÈf‡û=¹Ì%ÉGþ3¹1ÎÒ_¦òxòq—¼¦æ_zÞfáçx/ç3<®¼×uM?³Èyíœý0k¼žõ®>ö_¼á—Ù½ï„3›WðÆýgóï*3r›~È»9ÎÆcµœv͇>çµÁ[ûn^ü)xôÚ÷côÕzZŸ+¾êþŠO'­¿ý îºøºå_ЇµO¬íð½ÆÁß×,O\ž]ï’8˽òOö·õ½Ê½ú×ç”S¿kÌ{ýœx'ž¼5ú¨ÿ Ÿ…‹ò‡ðÀ×¾š‹¯´l·¼'õYû v=øÝÙw?¾ä{9ûN ï繂ê›ïyŸÿM_+ïj§xÅßk§ý">’Ç绋/tÜ뵯¡ëßÜ|Ο†£ã—‰×áI“óÚQj\N‚×ûþÞ{Æe^óÄaâžÚ•½¬?êŸð>qôšgÚß«wñzñ üÆâA™Ï°ÎÏ?ÏÕÈóšwÙU¾·ñqÝH÷òoð`æ“/µCž74û…Ÿfk|ÆoÈçš÷Ž6>)~©›“5Ÿr”§®sˆ‹Këß¾×ïõk÷âIï±ëΗžx#¾±çûNrðê³ÖÉ¿ñ\ó9WÄqÊ¿¸];¬Ý4þOÎê—ƹvØïá ¦œú©ø¼ÖÃ;NÖO>µ8«òkß+Ç}õg}×ó{׺û;|“Ÿ*î(Ž}ýñ³ãæ8UÞ…ÏÄQòóò®â¡ìßO<üÂ/âJ¯µ8pá}ã@ñâÁçŸó†®«ñ‹8ýŠ‡}¿œž¢ù ðÙÑ•×a<\gÕzOÏÁ[çñVôvøºê_ÿ&Çõcq:¸Êz.^<¿€ŸRþ®s‰Öúµ+³é«qGå0ãÜWïâ1”Oxö•§ƒ7>ç÷u/Ÿ¢¾šƒw]çì8¾W\|•.k<³Ws8‡<Ð:”y#‡ñÛâùÍž«ÜðTx!|/·äÐzõ½Î¥t©qä¹ï‰ñ/|ÐÚ·û±úÁöâ'Ö¾(´ÛqZëoÍû†¿.r]ßóå1Ý÷b¾Ÿ~<ùXû×vï5ûöÆmðfþ8ýÊÎ\ö¡v‚ãÏù}—ý¬|íDv¥÷幪§ßëïú=íšüÎ\çûÞõ=ìöâûÅsÆ…ÚQí§qþiµÇ~rÜÌ÷8>W¾áŠÅÑúÙ‹÷÷;G\yú­¾«ÿ%ž»ï6þ<;ÐwËã“o_ó ²{ØkyôÎÝXë#ó;ò‹=§Óoé¯z®òÅ»ðQ×¾ñÁ‹GÏ>f¯Â‡Êéë_çy¬ý.•ÿ!ŽÔÿ/ÿ€ÿž3ü}Å5ùßìsßϘç/¢?§ëþbó<<ß¹V¼Ñ¸Ä{Á§yNÑ•?Ï5CÏO^¨~ÈÞk_Þï_9§r´«Ú‹êowê|yχ'ùD¯ÌorfõvÝðZ?%wÉ­¼Xß!^<*ñÖgp¬ûRNœ$ž®yÊ<Ç9Ÿ^Ãs`ßïŒ|\ëD—<ÁûϽüà5ŸÄöb7<‡ÍuÀëûÖ›ëoȳë<ÆÿÀó‰'ß]=óÁw1nÎoüp}ŸøNûâU\rØó4û׾ú9$ɼ~úT‹ ?½þëùñké¹yžä«ò*Ÿv/€=˜þ'Þ;íwåõ<8sí3€]v?KíXﻮμᴷçàw†ÿÕÏÃ_Œ]TjŸ¼©ßO/ˆ×|9qƒ~:½­¿Ã5ÉÛåž>/^Yüáß{ºxGüĹnªkã—žc—׺–ëïW½Í3~PŽõP®ÎõÌþ]Ô÷²ó—]¿Úe;ôÆ]–ùCÇ×rÍ#\üþ…_ã×ù»âjäuáKøù+?|žßFÿˆCÖ:ãÚËÿfg^¹?¿þ˜|øëò§?½öÍ<ÌÞë¾çéŸ5?:_ÿÀ7ŸyÎüÂkïÀ‰k=™ñ‘v)ÿ-×ø÷{÷Ç|‡Å‡g<žWìóÚ/¹ïÈûÉáG3ÿˆøÔõ+îÀNºžepOò^¾!½HNßïÙÿÅsv/ßH~DœûGÆeñî•^Çž > ÷UÏž¯æqÂCàìæ©,žÂùðâRãéÆéS¼JùÊ+_ÃüçO­õÕ×ø8;e|m»º·¿ê'âÕÁŒ×ÉÃüúžø?ý‡|„ßé;cwã}õƒ.7>Xùªä›ú®ý¥ê/òfÚïu®é…#ãUäMùûÚ¯Ò8+{ÑûàÀóœšÊ%.:Ïá©¿ÔóÚ©?=Þ¿âXûéÚßaÍK‘g÷wâ²3¾¶>^ñãg\»§sâkžš~äÀ)öÓèWò›üƒïW>*ùÍ^Ä+¢?kß…ÞïÞzèÿ{ýŸ8£çõÿà–•ïÓÿ§×ÌÛs=ç'ê¥Þ}2îÿ‹kÃcÉ]öÆywâÊCo]¿íùkßêW¿•7¯Ü×®?…'_93+¼Ðý»þüÞ7ï&®5á¼£un_ù¿ä ¹üyþؼ`ãsðÒ3o¢û®ÙAâèñ}×ùÐÄoƒ ò³ïûñ+ÃWùÜkÿ´_å̸̫ñqÔôßa_×~Gðvk¾ò°òçä;N»PÿTÎ7XN¿_å‰×}.;wñkâ{ëŸý‘¯Šç’—rüÏ󧼷ãíÊ=ø¦Å7¿ÊSt½xˆ«ü‹Wð{ʯåùý∧ÿ¿¡§®¿ÿ\çªLÞ0;Óûò¼?ù”5ŸFüçõàuGgçÈ︂qÁuN§ûqNYyæ1ßuâFý¯zƒ~º_ÀGyñÅ«‹ï³—¶3½ï¹ô–ûsßö®Êa8â‘ʯøÔö¿tŸœõ½+OtàÒó|–xdùâ®ñ×=Ÿ=‹ïÊÎ翳‡ðâÅÁ¡Èõä“ìaú§ý3n¯žÅÅm—±ÿ'Çò,òiïùÉS¦Oï¹OôëÚw z¦·¶¹šùQñïùÁm¯ÿÖ¾ý=^½ûpfåv> 'Ñ®ÿÇ ~­^Îó2+¾Ñ/]öÚ¿«?>'ÏÌø/¾Þ«ïëW¯|åèçÂQúAíqÇÃÏu þ~õöH»?óDâ/±Cc'ò'éññŠó’ïòBâ˜âŸÆ©ñÈOÕå'èW÷“>÷ ®^P>¼à‡ó2àïjÜû®ñŽ+^‡ïX|v|ì’ñrå‰Ðóµ®¼z‡²çÄ='®¿Þ«>õ|ÜWTNò]ù=çµzö<üàâ#ÔË·žòéƒüD8OÞÅ~ïTù—ü1ßuÿüñOW<ðêéyXçüúqæÍcgÖ¾<æµ[鵇<ý‡q¸v5û¤ýñš¹îÍ{z_ÿÉõ{åÏýÄ+®¸GÁïýî>È«ßô¯Ä)«ßñ3î‹`<7¼^ò!NÍž†Ã3õ{í Ï6þÊø»«ø_¾^{kyâyxã u®iõ”_ ÜΛù™~/<ûQ¾þ¾¯þƒ×Wßú}εξ•ñ‰áóWÏ©ßë§ÙG(|Ùwã_}='oø×Ú+>¨\âë=ýK¼s­+š|ü믟žüN>ÿxnòöÙ—ú%¼žF~?$?òÄK#×äï®üÿàâÁpFýI¼çùu+—¾xÑü•|‚~ÿ˜ß[ëÖ?â'ˆG×üÇü¡üŸõÌoÉ‚²ƒS®¼DýÔ¸—^ó z¯r÷ÉMö¸ß¸¡|ç\ÍŸ„C²ÇØë|­âà™{ÅWÝkGå¯8L¼ž|’g:×Ýë/| ¿Õÿù‹è9¿¯¿½â9ûûâýž~]ùzòÚyÌkn×ìÈûûÈ[ñNö¾¿g'ú=yƒ{×¼ÄìKúc=‰#G´‹—]¯>Æé]ý˜]MN¿…k‰~Á,ü¤ß3nWþ™×qò]/¹¼žóïõ|ñ¹_šrY9ÄKs¾Gqiø)»LÜ>çKñœû®óŠ/ð_Ë.%oôÿ9Ÿ|¸ö!Š—+®®ïúåÉW×É?§j'ž*~«^ø}ýj훼løû²ƒÊã_ÅãÆGô|ø&=UÞkw¸$¼jüÕ8¯x ÿ™Ì?§ïoyoq¥~|}í¿öe .>÷Å_×þëûÕ“øÊ|®û²¬ø';š\’' ¯LeýþÅSÂœë;Àmk@â®sß(®+¿î‹×¬á¥per¾ÔoâÊúÃ÷Źò7é ~uô¼¿7ýÝüqñ¹¿˜¼UöýXxÛûÞCïO^KÞ¬ç«_åèw»ÒÎðªxÁ}¦?\×NܽüjrW¿RY‡‘ý·$×µ£vWŽ~ÛúÉçúúq^{Î|@íïïW¹>n:çáÁ‹¬çº—þ†žþ5>¸pÍe´CW<œïæwáÓŽß›¸úµû qì̯í{ΧIŸ;3ñ qí:!y4¾&ï°øù£Ü5ï^»öì½û*.Þ\{uÄÙ?4¸~px¹ü4üù:C» O7óúõ›]ÃaðxçyÂÍÓÂÞœûÚö^¯¼îý×wûï®ù!ý.y]ܹÖ3[¿Þ·=ÉKø?ùÓŸ_raünÒ~_©ÇÊ]å§Ëד¯\ùðž ¿Oƒ³gÿpæÂyÆ[¯*ï™]{ã0û|¾qžV{ ~]ù!ëeüuáÇê«ß’'¹âgÿ.¿wä=Öü¾p—vÊø ¿wžÓ .[óŸòØóJó½ê™=ìyÇ?9’ß‚?W>¯ù©+?äs~ÏòÍõžóO©Ï¹/¨íuÞ€r¦¼]v÷WœF9«_°£ÖËz\ñ.ý4ø ^|­;Wî‰Å k_èì—qˆ8£ø»ï˜§¿ð§øU½'†Ÿé祸_ïÈç§Ú‹_uÓ…ãNž÷¯s!ýø\|ìû}ç½7ûÈë€óœÚ8fçyùžWÕnñ/¼Ãà7üËÚÚøÉxÆy'Æéä]îÍ?äÃÍõóÖþOê™ñvq¯~üñÑ>§Ÿ¼î•—âåsß5ú{­o¢Þk„ÊK^´SæÿŽùCƒ#‹3Á•Îsóùu>Z~½ç^üF½g~ óÕß“\7ÞÔoâVùfíÅ×õò#ú_ñqÐ:ß;¿ÿYþÛó«–ßÅîh§õ÷ìøÞõGÊÍèMñ{Ï©ßÆÛƧ׼¯ú {¹Öw¼¤<èä¡ÔgÆõZO÷›ö6{I<·ü=~}ö)nëýâ{âÙ™/œË›ÖÌC\ynø¶eä Þý'ägÙEåÛßÕüÓ<ïsú÷ w&?K|{úî¾ÆÁà¦ÅOë_²×ñ¨/^ø¤}×_ñ՜ǟ¾ü‰xcù]å49NþŸ<}.N÷áßÜï|âûž«_ã—áa®ý†×yPñù‰â¥ì¦¼¡¼§ü¡|gË;Pï5ï;;®íïò^ÈßĉÙÉìVí$?´ÎyõúŒÞ^ûÜŒyíÈ¿žë¿*O¾¶ßåQ¯8²r+§¿_8=]ûH°ÎúWåü#þÖ+xèÌGT_íàÅŸ|dgä“ÑËs~пÏýÉm§vè£ç‰wçåÎ<ñŽøOü¾XxSüC½fÍ»_çR>9šõ;]_µn©~éï³>·ú/.=:ìÛZ—¢½ê½''Ä¿„/²?Ù“WŸ¯¯_»ºòð¦æeñë×¹{+N%>¸ÎÛþ„]û¬=Ÿüiý\œ¦ÝH廌ÓãÆâ]Ö ßÙïð¢^×þ•Û8ëÖþYókç:Ì~ï%/ŸñSçú%úÅýõ/þoìŠv½ìHrÐóý]|ã=8hŽwý}áùMò¿Ë~ÆC ­§Ž_®¿åÇõk³ø çmeßÔÇô {Úïâòä=Xû›×~xûÁ[ýž­W-Þ®\ž?Ïsyý=þÕöšç}ò°Ö\¸þCœ;|Ï+÷Ûë¯o﹯ÙÑ7žßÈGÎüÎâÕìrãXž9›v‚ã”÷5?OÞ-܈|žó{¯zÉß½{ó>æ äjoó̯ýt²7ÙÓêŸÅoŠ;ݯxÊ3—}Nß²ñÏÕ¼>|@þ {1ûè'ÇÅCõÏOÉGóµW'yχ7“³ôáÕ÷<çœ?ãݸÈcæW'ñxýZ=»×ïʇ_Ͻ{÷GŸõâá¶ðÙ«Ïà»WÏ֙Ϻkx ? ³>ÞyG¯>³¿Ñ{¾ÿž›¿Ã£7®³ÒûûìßI\ºò]—þ~éEãœÜ#?kŸã¡xâðË¡ŸùÙÚ?ûÔ<9Ì/þ&n‚¿ ÷姊~é½êEÜ;ï‡'óŸø…µ.ððû‹Ÿ×YÏ_|prðŸjÜd|3ü!þsŵá¡Æ~fÖ©Äk$õñdñVöͼ8_¿•]©Å-ùóìPóŠ—º?ÆÍ[Ô~ˆg³Oãm×sòò~¶×9pé™ö}Xï÷ž~@{Þó´×ò\/2ñ_õ@ϯëè¿ño~ ü>òN‚¿yú«âhâŸê1ë³;ýøÓy=ëÜCìʵÿ¾ûNŸó Õoÿ®ÿ§œ+_¿òÙð¹ç¾æwúþQßµßüUí£ë+zÎzˆ—ËSØ>ß«~Ù/ðlrXü5r~3Îo|‰‡.;»ò×ýû¸äÈ|÷ñÜÔ«öÁ³ë‡äy×üë O`ß(îè*Ÿ ~h^CñÏZÇvðïóôóhÖ¼·ô¦ûWŸYWÃïK/äÜóЧùý•38/<÷Æq~o\ãßýàÙW¯ÁáÓú{¼öת^]ó]ÁÙùÑìvþ7ûÖwþÄùaùÓoê»öáú]^(»Ý¸ƒ'g…ñoýÿ@¼6çá'â×ôó³kåa¯æjþ+?ŽAÿ'¯µò~á#qCvžxüÃsÖkŸWýyïï‰[´'ðJ®'ßÃO¼ï0në;>‡Ü'̹ˆ<7ûa'o’Ü%OÆ9\g߉äS\Ÿ<ª‡òhù5ÿþ~Ÿu©”wßróxÍßw>É:—=¹Âκ/Åòóôï²Wãâ<¥5?RžÒyIÅëÙÁ+*_e¼!ŽÏn€kÿ=öÃx¼ïÁW-žØ¼Z¿Û^ðÜâc“CóÒÞƒg²³3.]ûNñ9ãåùõcú1yÔÆU´vöoòð>˾åWßó“O ‡¥oáJøqÙ赸¯~”o3Nôª]öwyþâ-~ÿp>»|¤8JÂý†_“ÿ g^¼HßÅ_L~ù=ÿíµïûÓ¯oÕOÿrñ`ú»ô"ž.~&9©_Äñø›…ûŒ?Ñ¿Ö .H¯‰3ÇÎ2¯K~3û¾Î]Ë^_÷×<œüc¿›?wþ¸‰q™ø,|Yûû;þæ:ÿÌ8Ç8Z¿=ö¬÷ÈßÍ>¹—~#7òk=r1<@r"‘ž߈Ç.>C¼ÖsÙp5yŽßÚÎ&¾NN{oü/ãâü€õÝâ†ÞƒÞ+ÜÔxÒÞOÈý¼Ÿ|†ûÄ+ââWþ·ðñúÌo‰×#Îý„Ÿ]|¥|ãá—/þfÅ)àaùÍ¥§òrê©vžvÅSá^忧?}KŽ²ƒÖ³ñ4Ž'é^»Øïéñ2vÁý«\¿·òôåý²µ}òîñkÕ“xx­wê.PÓoüÈú]{rÙy„#Î[ýèßÿ*œ8¸0<Ø•ñþÐ8$<ù/ä¥ãã+ã/»O¥oðs³?yå…»ÅGñÕðª=ßzðÅWeOò;×øÖÆ]oï/~‰ñXåk‡©Ïð—oüÆ_gÇű=O\²ô2ÿ,N¾ßyu×þpK_/üÙóàÍÉGdOOpÈøµìYþêõÛçpÛ·ŠïØsõ÷áO–¾U<›ë˜jŸ¿»žÚûÊIŸVüý«þÙÕÆ?~áØG0ù+Ï¡|Ï< í |b¸7œ†úð|®ýîsx0¿@¼ªšç«OøðéÛÏØáž×.Ä3VoÏ'úéÙ˹>;™~ÿôÊý)Üšÿ oæ7·ýž½õ÷ði×þÎ<€™gP;³»õOÏc×ÝghöaÏÿÆ—…3“›üY8/<•¾Å½zM™ßO‰[†7èïæo°/ûu¥Ýç:Õ¿ò~xäm­ë"Ž?÷ÉNOÃáäYf½göKÞ#;^¹}—ßÏóÀÀáäp¯v2¿4ø¸{x«îÇÂ{¯x49øˆÓÈã_qü ñÖâäÁô—ùï~7ïˆ_=Ï©éšÿîýüqö ;)n^û䪯ùïä­øµßÑgùõÏøÁC¦ßéÝÌ3ÏÂ#Î<8òöÓ¬c —Ÿé\2y^ùÝ~ÏŽ%Ÿá‚ž«ýà­‰‡“ßð›Öé¹òíÕò“ÿ‹G¾òGõ»ùù#ó'é‹8Èx<¼Eü6ýŸýzãV˜}˜ûò©¯&¿`þ®þ ¾¹Êɗ懳×âbŸï>Éù)é?z3ó)Í{M.ÄïÝk_˜O±ö-zϯÖÿŸ‰+Õ/ÏÄ“2nã—°ÓïðOòªç>E×Õ¼¥ò›Þö}ò£ÏÉ ¼ÉàžK.á§Ú—ÉùúÓ¿µ»¼Ñ³7c²ÇÕ—xtò‘ÆCµ ;{í«1盇á¹×zCq·¿ÃÛ­ù݇‹zŽz­u¸â3ï»øïá_â1Â3ÔoíoëïÉ¥¼9ñ˜¸aåµ/>9üdr•Ïï=ùùúä¬}&nŒOxå$Ÿ“'–ÿjœÅ«ò Ýïx^¡çj»ÿÄÊ;jÇú»ö«r¼Z®÷]+§þ¨¿ÊË÷ýøxƒOÚ!pÀÄâHyyß¿üóÅû㇋KGÁ3<¼üEþ+;$þÔô~ú_ø+öbâ7ñþ¼¿×ñ›¼Ÿ~É«üÝ~lÙÿ~ñÈ=§õ{冿ÓCí,|Ú/¯*Ϙ=+>kÜ^eêïw䟵×ÚûüQ8–úzNÝìøô3ü1¸ \†=_öQ^ œ(¦¾åg³ëî{ò½xÆùsäs?!Ï⑱æÃÚãÚÆ;vïsáu7õ¾qøïœo¯ë¹o ¿Ùnø™ÅÖÿá¦ì1úóÙyo\>c¯ó->ÐÞˆËã{²—Ù«ú'^Ç8ÿ~íë?óóóçñ?µ;=¬=‡ÿ<×?w†{õOÈÅâa«OõGOž×çÀë<úî›×•u¼ú^vKž8^4^µ«¼¨ó˜ÀEçzâý¼ù¹±ñ%ÉOþ5œO2û·dgÓŸþþäÑuÃÓùýpõ\\{‹ƒÌÛ(_ü¾öa+>JÎû;¼ó1ÿqàï ‡Oü”}Õ>Ë«4né•øSÜÙxõ÷â‡Ê¯ÿ´¿?þ³xrxÔâLâƒÑ÷WnãÛµøó[ãñêY9îDZòuàÓ™ßXüQ¼‘ÜåoÓÊ{õÿB<å>Ç“ßg ŽDOÊŸNœ#ƒ]粉¯õ;Å…>ñò_ÈýÚ?D\`^O;"_žüT盯·œû@û\õôïÆ)èÍuù9ßxgíÓªÿÅ$Ä%î矷ή}dhÿšQyÄ›ëüAëmý³7ÆÉñnÙýx&çyäç^}]o=vÌ|ƒr¬=†÷Ñ~¢?:/¼ñÌ}Ão]vé~?|þý„øï•]VÞ°Ïâ ‡ýʾ…ë²ãÙǾ ?zíû1ó‘ßõoò/òL¼?ö‚ø¿v¹>ÙyãÆÚé5ϼߓ;óÄïï?˾ú·’û°¨'¿¡ç>}ÆéÆ¿G\¿âuyùˆ‹_«_Ó«ÚóÊŸxµq{ýôå}¯ýÚ¾$/ÈÏŠ7’ýpýßß_ùk<ò6óÞáS>c7Çž¤ïé]ý~'ß×9µÇ<¡ë6fžQ~Î8<=ó6±?ç~Îó»nlú©kö'¼A`æS&¿Øù᧳ç´Gù[ë²õÇôÏ䉵çðŸï5ƒ¼ÆØË3.€?^¯þòîâ­ìjþK~D¿¬¿’/ñûây–ʵ=Ö×ïùþ_‹'å‡{_¿~}r7y-¾3ó9âã’ó÷ûèEòŒœµNèöWrO<Ôßç{Êyö@?i;õ¿Ž“rã{Ê]r}ñï¾×ßÓËxú%×sÖ{ñGÆ'?8ヽ8Þî¼î³ëyLö»ó@¯áyæÆmƒëê‡ü ëfþdõTª_ø¬çj¿ó?Šÿüý¸®y,ųåe^ýõqÖÁ '3ÿû2ö¨r—ùìÒG~®{ù‡ TpÊZ'.ÏOX½|žûôí[ßá÷úuÖÕbgÆN‰+>gÍïçïþJÿ_y /~Ç~2ŽJþmWò¿sí58°¿‡½¿Ï¾Cï½ÙwäéÅüþꯙÞþ\yï¹Á£¯~³ï&ñI_û·t~Œ©ðp>—~Ä;NœûdƒƒÜ7}ý‡»/ÄàñaåÉ_5¾éuvõ£÷ġ⧮é¡<‹xY~©ç±Kï.}…?ûúÆwâ›ìv"{•ý~ãÑuôûºòùò€òBú—pýÕw›ß:v£¿Ëûc×ÏyÅÓø•î'oþú%¼ûIù¾x¼‹_Äî˜G?~ÈÏ„ºÆß/¯×žâRùâè5Çç““äMûè¼&ãNßã{k?›îy~üiã^ýõSá‹Æ ÜwòÌßë}ï]|£Wõ£x œ±ìTö÷}'}ÿ[ˆœÍüÉô {¸ö¿4ŸÆøÍ~„Oï÷|÷”û9ùïNyÉaϧ§Ä·7¸Nnæm×?òÔ{ú‹8mp†¸\¯Ÿ¾Æü~eâ³Æ§r‹ÿ·٣~¯ÜìDv)»M9×ù±ƒ¿û{þ£~ažÀâ)ÀO‹OПê}¾ò‹ïú»xAþ抛úNå·…ÏõÎKH?‹Ïù½õ®ÉËpëȵüVϬýÂÈKžûâô{zø¾7ç5¾é_x¯ûäD~»ªüÈêfß“ô_> óáUy ×—'—¯ÕûúñÞñ]÷![ò‰Þ~¥ÏÅå/yíáÁŠò»á¯ø¥Ú[ý¹Êßn+Îtþ ód&Ï”½0Î;îõkëœPìî½â&ñ$ñöšï@{Ü·xÖoÉgOŠ3ð“ÚÿÁ™èsý>ÏçÇ/þXP¿Ç¯f×'Gï&Wõkv%IüçþâÌkßÎ/¶/¿C\0xùÕËvõ÷¯ü}ü׫GëÙ\=qzvœ0ù£âˆä }ë»ð—î;9ëèª?rýõÕ£~ù‚½~Þ´ræ|‰ìqö³z%—ðoco²ÏÄÑs¿pá:©~}z0¹5ŽNˆÓœçó³ ã=zsÅ÷õ‹*»4yy‰ìóæÆ^ô|ö «¼´xB|#^_Ã7­se‰K—w‡'èûg82¾²ë{nö;ê¾kïõ÷ƒ§>ó•ûñYøuözý;û·7òÞõù=íqöŠÛ{Þò>º—7@>×~çØ‹ÁéaÏg7z>}¿L^&ÿI¾R<ëy qÂ'ßëš½Ìoá¯Îõž4¾;øÐs?´‹ÿ&~­žÃ§‚χÿ“WÐ?‡u Çõ^x6œ¤_ï¹Æ1¹ì{ÝçÓ·Æ¡rÃõ+y¦•'R?Ë3n´µŽ?¼÷ð@µ/|?š>¤ïðÀÊùà5øËá³Ã/áø¢pN~Ñørů‡Ýœõ¼K~¿zw-~+o¯5í.ž¨?’¯âÜðYíNNªÏ'ïÈïØ¡ü}<]¼gqAÏ1n_ÂËÙÇp¥ñÄÈñÐÄ•æÇñKãŸò7ðç‚'/Ç.Å7¾Ç|góÇ3ß±þxß½öùž0œðî=g|Î#ï½pc8ü®nýϬó)Ýú›ÞïïoüÄ«ñìkŸÊgç眡ên®Üâ¢×¾yïõgë–ò[ÓÎÚõìάgª?ª×ìUõ ÷¾q<÷¦½sN³þ@žöУ‘“þîüŸðvkÖ)–—ÐŽ‚cä äú^þïÚøíÒì³T¿wÕ®â€øñåͽþžÖ¿Þ÷ÝpdrZ¼ÞûÙð«ó´¦¼ìEñ>ù£i§í¨|ðóð8Ø3÷׺â¥pãÉ÷É'öwåV¼Ïu–/R>ÇÚ›<ãÏ4þ7;[>áÿWøíáÙà¹ä'^ƒ÷Yþï8®#¾˜qžø‹øxðK~Ž~yÌNÔ¾ìUòˆ>O¨Ÿ¬ýðÜS¾üñËàeq]òYùùéüq÷ÎO£žž¯»öLž^¿þžü%wâ y9yïƉyîãí<•úI<8T^q+ökø0ãðÊÚßìÕ#=Zó؉Cô£gà¡y®þîýÆ7üƒò<_ã3׃Ísà™±ƒÝçàsÇž`¯Ö>Ñè¥ûKO?ƒßµ¿ž·Î‘ïíwâ:çC _O¾Îeª_ÒOê9xqi›8Á~½Unà;f|ˆ{\o4zCÞdô»vä·Þ÷g^ý—ý. o.žÐž¿ /Þ ‡…ûÄw<®[ëô¯pi¿¿çæ{òÁñhoüg?“æÛÔ_¯~®w“§œüUã¡\f—‹kÄûÆ Æ#â~y!ù†üæš'HžÂ}&œ?*Oâü²äaæ{åÿ“æõ·þw»’¿É?UOâïYÿ<gßfÞþ%=¬¾ð*3¯î]ã7ÇïTä'}7¯¼F~Ôv6Þð Îß™ò^½âå¾à†wÉÿÉ35>ápâ••÷o`'ůò¯Ãƒõ;þ`â*Þ›u?àÃø#וþ†ú‚½v?ß5¼¿òÿÕ_¼uäÃg>e÷=ÏxÊkÈÎ _$Gà@Ïy8ó}?y‘W'Ž¸E¼LûÕó‰ã#ýàñQ÷ÈóšLÞcáýêE?Ž¾’×X¸5»_{”ûä¯xX<Û¹YçÛôýì,ñ‘|ïü8Ïxâ7ìÒÄ1ùå‘qHÎäóÝ'íÜÕßõoâ3y/ôÌ}·FÓ—ä­~Îî¾~mß…ßñË ¿çßÂÏæ­ª÷Á׬{úsöO¨=åõ“ç¿’ïp>½ñ×àþÆ].k¾;f|kÿ»¿±ç­8ýé»®Ct°…ë^û=fð[í@Ž'î{ýé<âÊ1ÿ:÷áǾ[Üd^ßráÖ¼∙Ažã“ý ÿ8ñ-<Ýš“^WøéÜÏkãKücÞ>âüty×udúŽìþµóû߯òÚgð÷Ø“ìøsíÏBÞuô»+ßòY\`ž(\Ô{Õ#}í{ðz“e> ï/<šßgÈ;ɧL< ¯{𿃧‰SÃeî2|Ê…[sñ¼ŒûŒ õY8£ïŠïŇòœà‰µ*vyñÔùûøùØì{åÃ;­y^¯žõ¿ë*Ö:íHzV.|šëžç¯Óïú;¹§ÿ¿öæ¿ÝoÊó´ÜbÖïgWÅÙõï+ïWÇW¾Ÿ|ÈZOTü_cþqí«N=ÝËx±zˆ›8ë«ÀEë\®âµì²øKếøŠ‹çðïæMÔ«ìlã îYy âŒ5ožÑ}×Êw5Ê öaôò[þÓù¯cïÂ=Õƒ¸ÜùôæÓÎËߨéÕ“—ü¦û‘^ñÓšÇ\­u…Ì»˜kõªüÆYÜÏ“ž$ïõ[öîÇZ$¾¬ÿÅ{¯Þå½ÚoÝý–g]R÷]å!ÛOþÖ¹’¾×õ¨÷µ¯§ûÂ:Ïa䔸Yÿê<—íBvÅçä+9‘ßt=MvT^}ÖY¥ß¯þ³oå ¾>òóôJ{/oQyðkkŸtqE¿xñ*øsä>½ÂþÝ*¯÷~ŸùÔÓõÃë9.é=üßì÷g½Å%/å~Tó}â”ù;ö³z6ïvÅ·à§ñÓæͲÛá¡Ê ßõüð±Ovûö¿_ùÐ%OÉIyJã ñ­¼j¯ÝÈùâiovõÂËÕ£rÐ7Ïwžq‡í»ÝÃ^ûã¯}áÃV®qª=õ¿ñÑóf\‰O÷çŸð·—ù¹µß øº+|¶ó ÏV~¸Ìý:'_å<¾ä'{ Ž^û=™G&Ž^óú^ù­ót­áÅ°“#ÿéGßMþÈ_¹¯ÙØâ²âôû4õ†—5àyHŽÃÄè•ç—/“÷=Ëîã]wµö5Iåuú½çŒà#×üöô*=ÉžØ/ÙÇú¹ñ…Ÿ»ÿÚ±ö÷¬]æËóGÄÙk^­òÛ}r‚œó¦Ägá·ð]÷áBqèë÷õ{ï‹ûºö|øÓ¿SæsÎï}7ÜØ÷®ïʯ¤—ú xLí¡ó‘F¯³ëä['">É®Êjϳkø#yʕߪþÉ«ß7eWyoøpÍðæ_ÒâÆñCØãáÍÍŸå:ÏëñqÓ´'; ~Xóв»ú»Ú%®üìIþÐxõˆ¿™OPýåü¡ë)‡ÕŸð8‹g‡ç·–]î9x²ž7¯:ó ÃŒóÄùÆ]ÍóÀkûœüßêïìzrܸOõí•×uÚÙx_ˆ¯ÀÕÃsô»¸>öÊ[O^[¾T½©~âxñ„ç(6ŽÃýJî¹—œ8åõÛðJáήá8ð¿ó$qLqy¡µ_šq»ãý>•|ÄÔ«8¬qÈ?9£ñoÜŒ_Ê_ NÍ®^v߸…8hp¼íÔ^/™_Zó†Ó+ã%ytðñò{äïœ?3ñ|r¡þ⟮ýnßD¿,ž+ù‘Çâ}ã}ñíÊg¦çO.ÖßzÓÿ³šñ›ß³óðDËŽ÷;¼ÓÊW¼’ëªäßß”œÿ®s¦Ñ—Á ä¡/ç_ó@‹Çá±äE¿Ò¯ãO/^[·ûäU»Ñ}×W­ùÈíÂÛÊ£x»â:uÞ4ønä,±q¨Ñsó#Î÷˜úa_œ§=ùãìöo✧oãÏÄ=ÉYvz'íä:Ε_§/^>yaÞÊà5û»úigŒÁÁÃÁ÷ÿÆ÷–þÑÏž£7¸%\ôêåºÆø‘Ù/çx!œ5ëWÂA᧾[òžÿÓ¯òÈ?¿çfÝuõ¯­}^ÿ¬}ºÆƒ>y™}ÒÁaî´Îøkïßw§¼÷÷ÙG¾~’7 ¿ÅK={#®t?Çÿö+?/®îyxØuÞAò@ý<7söQzåN?×ÿ•ÓøÕÕ§~¨ß^½f½ÓûÎŒ{86¼]ùÉÙ«Ï\+÷Õÿ§ä¹ïWãúG~¸qy?ã ¯Æ1oœ†¯Ž§†WYû1^þG<›=¿Êçèwˆ/¯ò×9:ɵ¼mö ¿ nŽwY~þ}oñ@O¾Æé'ÄâãÕÊÇÏÅ/ÞM;l\ß³ö%€k†Éo€ëÎùùõâ3ç{Ô_}G—¿$¯æùK×>Ñ×|¯Œ«üðô#üÓš nrï:¯ÑþR>|Nù/BnWžüž>ä¿W†sâÕÂ/Æ«äßÖ~ÜýNœç89O"yôœÓµN¢qi¼_»¾Åÿ}AîÜOmð ßÞ žuñàaóD·Ï-=J¾²'òò}G\í¼Ü3nW¯ø½ö7©·éYíƒ×ûÝø»fþjÍW¬_³WÄ ‹ŒŸ!¯cy‹ïOnªWèûàb÷‘ÿ O3þ3=·Ÿû{ýìÕçåœÿüþþ•¼ß”«Ç_Ê9_áZw?ûÁ#+çžC><5óÏsPÃÅñØ¥5áéïä­}{óêé9Ëáù„•g4_­^×nøÍ…×äuåeÁ)s.zrª¼þþÊí\‘©ç+gÎ%‡gšþ!O~ÅQ3 kí˽ï~Ñ~éÏÅOéUõ#ÿ{Í1¯iÞtù…£^k½ø0þ³òª¿q#ãç<óÆŠ“Я_ò©ƒá7×¼:øÀÅã?Õûþ{ù?ñgr [Ï]qzãϸyþ­yäåW‰Of>aõ‡gt=y¬'ÿn;G\ë<üϚ׌¿Yø¬úXžù«Þ'ãGÖ>°ÆãõgøÖ¿×âAì¹çÄœåô<økå×ò‹ÙWí¸øxÉùJËN]ùÙž×~Ö¯ÚW¿®W>³q O4.WüžðÜUqŽóuNœÒóo\—_~ß™ýž^ûÝOixè×¾9?I¾º¿sõêÊž4Þ¶ù¯Ýó{÷﻽?¿÷ÿÿóýŸyäåÂwá’¯æÕð3 wd·Ÿ\ÄÏ-?‘}ÌnaO<xækš_„7™yc¯_&‰?·ü‘¿ì|ö§ò呺OòוóÚÛ¼)×£èFŸÂ›µ>uί ·€çSàÇÎèðçò™ùý ï¬sÁÍÆ»ký¬üJåËãoÄקßxõr¾ÝðÞý=¹Š»pTÏ%×ðøãWä÷7ìéµæÒñûûûÚÿG^ñ^óD‹§šÇ^§=«Þêz²ö’§½ø·âsç×ÈO÷ˆ»Óâ†yy”Î_pñ½à2÷U(žš8úÀ•“O÷\ûa-|iÿw')_áÌw?ü1xæ‹ø@<žd¿’£ä²vw¨ßÉIò¥Ü^r#_'¯%> O2çb׺±ü‰<ÿ_‹ËŒƒÄ÷Êgþüõgû»^eÙù“ì+qáøúÑy îÏíºÃ•/ë}âkqà9^ðaë9ü…ëëÖyÕW{þê5û¨Š[ȧ ÞŠ|õš{磼åœúßýû|ûÚ—)ÞñëÊ÷^¿Ç‡¾vNyo×üŠþî}~Õ~”¤?ÇNá.¾7;ùì_ïÇÿL¼ _;v=6>sÉ´3ÿpøƒÅïfàŸNü¬]¹žƒo¹Ö/\®)Ü;Ïhí“‚Ü­ü€üy¸0¼n Ï…ïÂuâ¶~ß›yœï÷µÞþ•;¸°ßÃ…áØxÇòÚÕ³ç{®òÈŸO;jWíßá¿×ºœü}r]ÿ%¯ÿÃC+¯š•Ç„g‹§#’óÆÙ KŽoåÝêGífýzÌÇúnÜ”¾“‡Xò/>›øò•{­+4Yówå1[|—|'χ¿ø~Ùkø¾Å«üæZç$N•Ï'o8ŸDy•×ª̳è7Å3/ßï¯æ¸k7»úwùÔK?”Wq·õñ9ì÷ÚWŠöÎ91Äo³ŸUþìÉovnÍC>µéu~õ›z,¯¤½9x£…[Ò‡ü@ñü“¯Y· ¯…_¹³þæ=çu΋¯¼ò߯×{­K›õFï~xËw]ç2¼ûùîëï)ïµòôÔíÇ.4.ü+ç›­¼F82»sø9÷?s>Ü|Ÿ¼ÆâÝ_»’Ïïò½þÅ}¥&~IÞ³£á pÄÚ'²çºÖïá‹îÓxásžª¿WŽþQ}<æ„k†Óþ„[Þûá‘©7ãéüÒ™'ѸÉoe?^;&þ;âõáqù}xyÃâüâàÄ÷||ÞývzO6ýÎ7îßÈ»é'À)Ë_Ë;ÕŽWoûå ú4óJëâò3^°žøïi¸Dœ*Îò ^Þ>9xï'?#â p¼ÂÌÑNõüàò#É]xä}ç~hÎó:ðÓGyÅ/èûëòß ¿”][ç†'%á¸ì×ô%¹øþ>ÿóE¿¡>ôwONÐ×iŽ¾ú7ÿËs\3ö8<ϸ.e×ôA¾âˆÇÌ3L9ù}x—ŸßûsÎy×W^ozç¯Ï>ýâÑø@ùÄxÌ'§ñ’3³ß{?\?Y9]_=å?×>T•Ç8Ç£ynÅ÷w¯ðÊ{šþ1k.ùyâ¶Å_ˆV’Ý“Wª>òôÙù ¿WûÄ[ðK¾ó'ò¸ÄwÆÇ_køÝ|Âøí¶¸<=gÄÔ ÿ8þÅùáù™â—x¼pfå›Ç¯ü|ï§VNr˜?-/‰]öä]Ã5­_ýÑ÷‰wjÿ×üW8­úÃ+/; ¾˜þ(§}'?bÜõÆá7í¦ü—øñ›õNÚÙË>À7Ïz%ôpäþÉ—çz®PkÞkñJãýÆoöƒ@>'.¨ßÑË…Oå_ÃÝé9ü»ç%,yÇî.¼{àÕsžgíS/í'ÿ^¹àç5¡çÒSß;pÞyþšß³ß}ògßlìQùõúZ—#ΟüIzž<ïM<¯® nûŠ ÿ‹kÏýEÁñ“—2q|ÅòèÆáGíúŽ<¸köyÈa¿ëï¯ôKú¼ò¦ò!ôãðõâ:y?ô`Í d\’çìåä‘òÃÙ£Ú[¼Bœ6ëš´kÕÓq¸ôNÞ¥ßå1GŒ_Ìt/n”¯µ¾àôù½ï†ŸÃmá®pໜö¾ïz›ö÷qÿ Ö{—Ïq¿ÊæA®õ?òŠáÍpä¿pä_¿—Ÿ}^yí4ûOÊOdïâ—ò3áöÈ>4ÿÐùC3o »4~£ø­<„üOøŒ~çæWFOÁwòõ£§èå9»ì¾€^¯}ÔÎù”Ú“®ø÷µïvûøÕïÅC1þÃg0îêÕ̇­õçâ<òkËi絶ÞìÔó+î¹øÆ5<3ý˜ÿ%žünòýž›ó‚ä=l/vó3ú1þ)Î9òÄó÷gZï:|5ã/5x#üR»ˆCäW¾ð½µ?ý«ç÷x÷\ë6FÞ²ËÙ}ðýš÷Q{ú;ó¯ŸÐCñOvjöA3Εÿª?➱ăŸÈcLo¯X?¦—á’ð|÷õ‹ñòDœýE=ßT^áßf|äûÀak>[ã]}È¿\~z?W?_®ùà×5U^5¹€O;Æ|ìùŽü¤<\õà:qÏ¿müû.vyp`~8¾¹œ¸¾öå©Å?´·q¿æg]ë×ù\8~ª~žó}ãU°ÏsÉUý›]užrv}˜8"ùc¼Ì{¸N{g#ß(/ÙßÁ«œ~ï¹ð£ˆÏÄ¿ò€ð ã—«þo퇽˜uñ}7û ƒÖo/Üïõˆ'Îýv³÷ï;+Ž—ÇK.ÅÑàyfùyòÕ?ñâNãò£'Þ÷Ê8Ÿû…\xÛkóíêqOíxý2úõžÿ žÖ ?šM.ë_òæõgQ~PžSyhŸÜ¯}|µOêyñb¼q|س w[ïä¨x"^¿~"Ÿ³ÖCÕÏÅ¿ÚƒìVí~å´nÕù¿ùæI\vÑ}'Þ¥¿¾XNñCõ̼pך¿Ÿý=pøðÌ໋gœT¿qùìá"pñâ{ûÝx ~è9qqú‘þ‹§²cðîÃ;x/|Úûõ3ù4Û1ñ-qëœ+Òx`/缌ì»þ¾÷‘ëuUãR=“÷âéê)_aþ ž{ÍH¯¾kùOxiåc­óJÎóÆ[Æ“òºð3®3Üžë÷p\8M|Ù}åuíùpî«ßìkôÚÛï §¾rzí›ß+?~øõÇ\ŸœÆWîÒ3õ¨~3ÿ)¯%F|²Þ?ðÝâó+Å¥—©|ø)óhë÷ð ß[ø¨çº&oÕ»öÔ¾äS¾'|‚œu1ÙŸ#>uÝÅàü^ùPó£à´¯Ôß}v¯¼|û›Ç׹ѹßyÁòkk^mï3¯aíÏÙóé9¸lê~ŒOÈOâ×'Ÿ¬œŠÅ£ÄKúóò±_;5|KqúÙü³áÊ7>wr]=°÷sNR~øíwôiø›üP8/|˜¾Æ×Vý2òþ”ïÅ > 7^ñŠèÿôKßßíÚó¯òxà~ç!MŠñŠwÝw”â ó\åëg_÷ìCö&|Û8åÿáfüÈï¬s´ÏâÀúÍv%¿ú[ñ£ñaqHvU»œ½‡‡p?‘ÇpSúÕûÌ\ûádW°§Ú³™?‘<“Xùõâ®ä:½%'M½ãå“ çT^òa­þÕÞ£çk^Z¿ËÀ¯¬údzŽøçý q—<ÅðÌà¿xȉÇð¯c·Wì–øuô™øá£}xÎyá»WxÎÅ¿æWãIßxw?x°<ôkßœ?ùôÁuM“—G-N}ïçO¾rfýëßùýÕç×øÜÆC<'_ÿ\öÖþ«ÿ“GqPòn*þ†ß{ȼ€Á?Ä÷3O¬ø¶ï¥gï»ÉË̃ÁÞ®õè[þ{æ£UŸê/.ÞÄ^LýÞ÷ÇçWéÇчô,¾ãÙÁ;ú+ìÙèµ8Í|RüOö¼ç±Ãƒ[³_áWx¯5!»¡~7žõüîì{~w½ûï¯üòÇ?˜§²æ‘ÉG‚3‡ßÇUΑ/üq=ó…æQ“?ôç‹úW?{€Ožžüéï¯ñví Ùuô"^2|Æ|†ÏÈ‘óK&/g>®öë÷Þwýµðƒ|®vÇøÍß•'ãø‡ŒÜT/üêÄeâAý¨ü‡qQxöëÌç7¾~Xç‘¿þ\^|ã;ûv¾~ž}:»¯œwïœß_½zðf|g|düh÷ñ¦Õÿõ‡û;UŸædχ7{åÎ>ÑÆóèËØ¡#®ZûS&ø½5¿Ã¸ }»â´ô?ÿâ}Ïù<þgá0pÕgôQ\«ž?¿•ŸÖÎU®ïçÿiÿä•Òkæ…‹WÆï<{8û`†Ûã1z¾òó£åa^}¾7^ÉO~þØùMò,ÿMõÎ>—w|ý:ï5nñÚÝìl¿“‡[ö¼ç‘Ïá׺—¼ï Zÿf_²—òÊå´ŸÚßì£þ3ý¨Ÿ”{å<¿];ëâŸk]ªëâW¿À³N¾ýu¾ÄÈeö<øÄQÆ'µ¿~=ê=yâô$|«_µ½à¼uÞlõ’—­Ÿáë=_zâäêAþÐu—+oCy+þÿi|‘½¸x»êÙw³¯ÊS¸Åx<~©É/ÏúœÆ üæùcêWøØ5ß©ñ¥Ý+Ž©½Ù›âÜìüàÄ%ôëð¯ñ:•3û˜&ŸÝŽ|žûf‚¯Ö>ª^#¾þB;Ë8pü>ú’\×ÎüÇ绶ï±qÚìÏ®†[y pv~œç•¿ïκ¢®å‘ã Ù¯_fžgüg×7náÓÙ_ýõûœôä`êÁý/¯}³ßç«Ç¼_}žÜÌóõ_úH¼é:Ýñý½xˆ|Ïà‰ø˜ìmrƒÈj7®}'½rÇoèóÈ{öxrxÑä¨ö„Ãȃ_ž¿ÅŸ»CÞR¾eü[÷øÕñׯ¿'Fsð®x~wù—úÙ¼–¯<ù•÷wב¯s¤êWxœñ+øÍá3²'òQÈÓ¬«/_Þ\fœñÞ|T?5þï¾óÆ?ÂWO<¯Y=Ác½¯~Í|Èô(¹ }×~8_õá#y6äVœ0vžþ›yËòÝ‹•Ë®ÉMþ!ùªüðtõ¿„Âa×wêŸìO备àÉù=;oÜŽ½Ë/5žèûØ=x×ó¼%ì°ü™ûÅÏ÷ß}¼×ðN{ß3~Ê„ß—ÁqÉsãk~¥z`÷Í/¸ßƒóÙ?êÇêYyÄÑõûôtì+qhãÚþ •çøîWŽåÈwË/z¾õÌ›HÞáËÏ}a²‹É‹xPù ¿Õ_ù%ù¸#~˜þî½ì(r=v©ïå+¯ñÃ^›Ï{O>bâ‡Ú]ÿ¤—õ3~qÿûÊÿþÁ¸rö…*>éyúÃ}d¦=á±ðax >oÎ#·…Ϻ¾öO~ºr}.¼Ú}ß«üpíë)·ßß÷‡—|×ÖÇÇSþb»*žhÆ-ÜO¾ÏüIãô }›y<ùGâðÅ¥ÏñZà‡áI/½CÎ|Nžií;Yd/Òy/yÜú+ùMÏÒCðêÚO1»˜Ÿ¯½®Üì~ú îZóÕ,'<œ}"=yÁƃòÇ>€‹×9ÎéÝ“ö3ûš}xã?ùøÁWÙ¡âAñ<¯óf¦]âÉì?¼¬ëBG…ÇÉC.ÞØø$žT>~Íó¸²ãá„߉Ç?‡Ïñ'®wõ3[ýJ¿MV;Ì'›w>ðÑ­æ/{ÿÈ'8;Þbðqã_‹jwfÇàåKåóÖüüäBœoF?8ßmìñ¹ûEL¹Éå{oÍŸ,Ÿ}¨ùixÚö]ùú7ûôwÖ'9"Ž’\û*e/³+üîùnƒSÁ¡Éý’£p¼¿ûOˆÃ~Ç~'Žý„tiç³ÔGÃÎøÔîÚNÊO&oé?ò2vŸ~5>˜¸ö]gâŒá‹»Âç¹rÙäÕøeÎH~Â!Å1éKåçÅ+å‡Å×nÆ^¯u¸ñ Éùq×̸ƒ¶Þ{ñƒá¸7ΞWÞþG;û!½úOø®³~¦|zü#å–ïnį= ×–Oí^ç“w_{°Óã?ëáÃÄkÀKLâÝ_¨ß!¾+ŽŽ§\ï>÷äsÌwŒ¾‡c’pì¬gHŸ‰ÏŸžH^ù¿c7ϘW…?úŒ=ž}3Òð÷èk~;~Vÿßx`¿ÂÓÃ[¯XãÚ•þžþO~˜¯¶Öf¿ÓÿìZý”©^oü~ÃþL;“³úžlô¾bö5ÂîÎJNÞx|£_‘+׉LÞ¨μ¾7ÞãÇê¯üqÀÄáÖÚW?xß÷Ì#¢/âÿy.¼’=–·®?™'0~ñ—~qð~nñŽxþGýíü쓼ùøûʯŸÍÇ·Â ¸^>gÖ;ˆ{ÈŒ|ÔÞä7¿/”œ0^æïg]ïÞÏï×_µÜúz,þ¿öGç‡Þ÷VÜÝxÕ_¿ÇÿÛwþ†ÿýÿ~±zÿ¸[¼è|¨Áíù‹êÝ59zíš} ÒWãºw_Ü*>û />y¿Æ»qÎŽ+‡àÙå߉ïÆÏg‡^Ÿù¿¾Ó¸†ÃÓ¿ôMþ¦8+üˆýüŽ~¸?௯~®™ý-_?„ç¼÷ýµ?z8®¿÷{÷ýýõÇ¬ß G†ûªG¾ïMž½ò^ýñÉ×äÓßøL=“ãìþÚ¸¹þo¼âÀy`ìö`áòˆó{þ397Ÿž_N>ȣʻ®y+Ä'®3cžqð <áø«ì qÏôcòmÞ×k~-û€žLý³¯¯|÷uÿŠ¿öœ éßÆC\Ü8g÷ò×C8ñ0ï8qªã^œÎÅÊ‹,\g¼`¾"œý~ß_ùØ?÷»ÓîÿÏ/fÿ²SàÆ¿ú\„‹§×ì•øní“zñ¹æ×ã?j¯ö4üðÚ5óO°ë߬wå5>ù‰äžfpjõD×þêÉaúTœ¯-ߣ<%æÛ§{Žç‡Ö/Õ£ö'Å·áŠwŸ_ë‘«Wr“Ý1ßS¿é§á¥Ö|ÈâûúG·¸”<ÉWìýà¦úÿ2z’ýÍ?÷~þ'žèµ¯ñÖï‹c'¯›y\•'¯†<•ßÔÿdç_ÊÜÓx7^æ¿3qÅÔ§~í;âeíö«×ߟ¬ù[Œ§ûkº?vç9N…’¿êÝséeãW¿ÃW~a\-oþ^ùèÑÔ?½¡]Ÿñ'Ë.3.£ىƓ¸«þsËÁ‘á5qa¼c8®ßåû{Ï÷ðÝäÕõ¯~âÈÁ³o|?ö»íxírÂWêwv§{ìÎøÙúxcí×>Á¿ ?>e§|>¹'zïý'dwf½Krñêõ;öÜõËuï,(;È÷Ä…òÓ_á°ü2¼°çŽ¬y ù®ÖåÆCºeâ…ô‚y.ù±oèÙðÆٽ׿³n'ù!¿ü;`Ûù©£ß}·úgÃþužöøü1¸lòÒÙwpÉ’“7^ÉßÌÊGË›­ý êä`ñf_ïúÝ™ ¿ªþÄÛ7ÕŸõ;8?{àþŽk?sò‡½7ëäÓ‹üzå~— _üpòW;¿ñ+â>ðÑšOÓóµ[><¹yw½Æ'ôsÚkûÄ Ø£•ÏÉÞÂwÎ9¢ÕçCöÑý±V{ˆËGiGk_^ö/9ѾeÅO‡}»äô:7qÏ€øθ^ûrÎ÷Àûú#y‰•ß•ghë'ì¼—<ö;ß›ñnÜ’ãmxzãÏKžynä£F~Š—ókÉ¡8¨ñ¦Ÿ§=ï{¿Ë3†_ù¿¼z¸>§çÊ?^ Ï…'Å£ýý•Ó|Çá+/úÊYëÅßuÖÛÄg^¼è»¶Ž|ì"ã6ö¿ô#y‰é¹ú[xÄyI³.Š¸jøûÆÛü öß8xø‚ä$œ?çýê÷{äúîá àÙ¾‹«ˆû‡§È>¥Çò½á¿ì:öeÅ]Æïâ‚ðJ߯þÅW•›¿yõ›}&ã?Ì„—Ó£ôz›˜qÍ®ƒ_×ü¢xúmú¡vŠïëü}x âÉá^»ªŸùçùžüzþ<ÕZŸŠ\U¯üRö®y¦#ßô—<—ók‡·A®s3æ=ã¥ô$œžœ¤¿ò²žrá‹ÅIÃ7—‡{ã>ñQåùýÊë÷Æ9;@ÿ¸‘ëjWyè·çŠ®ü©þ<ûf^\1ýU½ó»kãþu~Äćàíéùä©ñÍ_‡gäkˆK‡7uü}/9L?à§_êϾøN½»Gä_Àû“¿!žœóÜëç'‡cïz¾xžjüaõ2Þìj>®ñ¯}ðÚæßf<ásÌ뎽 n[y¿ðzrÜ÷™G1ç׿ØWã–µî+9yý;ùrù]xhýÿìßØ‹÷üØqãÿÆýõÇøEìOòÖ¹î‹w ·ö~ü@¸*œN{í×Í~>ïï?¿þø\ÿèþ>xõœ^¼ú«ÏìóÞì{]ß{³oeßëù׳»¿‹ŸãM_?y®ùÂ¥áæÞ{ßYùùÞ{ß]ïËç^Ï÷úM|î<ƒpx×ìñ+gð¿x8dx™7î?Œ;ñ³#¿‡>­ý¾Ó—x0ò€®C϶\y×ux~àØÁžþÈž…Û²ñ§Æ·å+œW—8¿}ô|¼ÎEï'6nùF?Ž €ïçûð”ž×>¸0üPè^½¾ç¯ä«·y«ü¶¼ ÏÍ÷²ÇÌçÔï}‡’G?Ó8à7Íé¿—<ÕoñEõ·y ø¬Ñ«ðq‡yp׳Oœ©ÿ¬_ÅÊQ|¥ñ@ñfzPœþ‹÷÷»ð43ï¶v÷ˆsÂ>G^Óù§îC6<í®=ãï°kc‡ªGí©üÆüé¾ÑúùY'[‚‡œ<r3㘜ßagý•ü8xí§—žÅ·¦?Ù‘¾[šGH>ù}öGÎîįw’ßs½áâ={¾W¾Øy§ë܃úž}ì^xªßÓx”±gõƒrŸ=ÈnÈ“ôžøÛvæߪ¿v6ûÏ»pqáZ¿Yœ‘ŸH^²§ÄOî??ç‚Õ¿ñïðä3ï¥ögÞ÷ó¯®cûþÞÿýé×ð´Ù«ô¸<¯òuÌçRž…ÿ^¹kÝÑÓ§Ùœ¶Îß /VnøPœNŠ;½ö^å–÷¯àáÚ3rV¿<9¼‘ÿ Gfç’3ù©®êÑåÏôc¯>?ÂAÚ#yõ)¾A~2û¿Ç]WÈ÷Ï:ÒôÐö‡S²É[õ#¿2÷ตÏKß⃒{ðËu~ݬ÷çw%7øÙüÞà øi÷q[¸!yÿdoÒûÉ Ã.^ y:×Ê›ä7úþûýOå#jŸï‹7•ÏÆ7ÿûä8 '?ídÏ—Ÿ»øÄKÉAã'OÔø×Ïò¶µ»ø"¿œ¼g­õZò‘âÆôïý}ð×ûnùÛY7Þ¯eܦþæ‰â{§ü8ó.¾iÞxºXßYñºrš?’‚?›ušà„o–>~Ç.É˼wp~Íè/z¾øÿëªýè=q ¸˜x[ýšø<à|?ã­‘Kø·±É1yeñ¯ñÍò;ð/ò-ú±5!½…^8xz­ó~¿ÿ¨ß—(=x»þ!ßé<§i_v%»ãü•ê]œ®.Ž Xó+’ñ¤| 咽ª^ð¶kž{¼xp[xL'_øž›õ=ÙyÉÊ“/”_o^ñ]8-œ(Þ ·…û{åù÷wùo\Ú¯©û9—èõïÌGè½÷ü”îì¼æ[)ùKåÄ«¸ââåó±;æ±GïˆÚ×W¿³æM%ŸÝ·Œß\û®§ˆ ×þÎñ“á:üÏð+ø‡Ñcyœê›^g/ÐWqá7ìàZ¿qä¾_þ‹ò<ÿdâÖ¾ŽSÿÀƧ“_êïòÜÕ§¼[ã'Vys/ÏΈ#ëïùñ3Ä-+‰~¸â¬Îþ('z±Ö«&Ï•ûê1yÏú§ïàO|øÕ.ùMùkãüÅ⛌¯À ëýâÑ꥟Nó[O^çügã3ø¤•gŽo’ùðÉŠ§á¾}ÿ}¿*n¿‰»ú;q¼ë’Ö:þâ¸ú¼Âø[xé‘ÛðKóú{íÉN«oÅ“ñÌý= }ë½ä0ýìyp®ûMžü·òIÅsÈ…ûƒN½úþáçÆ/À‹j_œÏxêgö4ÞDœT;Ž<ݲ{äuÔÇpmå—g¼þÚó§ú;=mü‰w×üâÜñ+ø5™þ¿þÌ.LWì|qEvýõÏì•_2¯¿0x+öúeáIyÃ÷üà¿pÞ»Îú¡'—?¿ú¶ÞhÎ|õé~áÔðë·Î³WzîùºÖßÄÑãä³ÄYäÃ&n‡÷r>öZwšý‰æÞÆQÿ 3|dvI¿ßwpƒ|ÔØSóßàšeGªg¿‡/ˆ·¼æ-—ºÎtø¯úÛzáOÜÇyö?Oþ~røý?ñ¼óàg=Ãû}xÝÚ~4";åü§¯èýÚGÕòÄ#ò¦à¦‹ßªþÓøQÏÁpžaøzÖ…÷Ýü|vûµó;~ù3ä{ùIx=ýœö¹þ\qJöDü“?Hn_û†‚GÜ]œxø‘•O¨ÞÕG~9sÞÉš/©µŸ³3àžY·X¹õwöþÒó´+ŸÐ³Å#%çò~WžC|aÿ$7èÙ”Çó3þÈ©ûÖË;É»®õíéWß3ÞeÃã7ÂÇÚâQqåàûô1óÀ;kOãT¹Žögò«ôÏÌ?‹_/éïÉ?þuæåfÅsäé×|‚êkþ@òý>çê„×䇉÷W<:ç^ÚßÚ¿''³¯=8yìVyÕìLv#çgÅ×/øµ‰ÛÒòžuåÇ;ϸË|¡v=? N4>ýAiŸ–œâW^ìÈ»ŒžfOz®qEç¼ò•ÿ¾öμµæ aof=øÅ…;ä©ÑSãÒ9÷D¾Tû O;粧R/÷Ãs}a^‹<ÈÚï»·ò2âàWÞýñÊØmx䙟]ë÷ô~dâ»p”qšz½=ç7aÇ“ß=‡}(O·x ÊyãîyŠÎ3”÷]v¶ñ}ý.ŸsÊÄsá½×ŸÍËô;åç&ÏÀx{®ñÈ!ú1ø¹r¯ìú™}¯}ð—=ï>‚×ùGe§hÿ:÷'<>‹Ç|õùå•»Î|õè¼È?Ê7¾ú.}¿Ï9AáØphüæûÎàÝpiÏwÿô`Ê×>9tßž…CÔÇžS»ZžyRâjãÄk}êðÒæ…{>~4”üeƒâYyÍìD~Õx8ûQ}ˆëå_¯8Évκ¶ú¿b¼žÞL»³ßéÓÑÿsîañTþžÞó„ô{ƒClGz%Þ?ÕáˆÚþ_~Áñ¯Àé“O3>À]ëeV~œ°øYë)îzò6¸ÞD^nâüì_ö=]yHó}¯¿¿‹ÂØßpÊìß×{É|Eþ ~ ü7z'¬ßËŸƒãÇå/àÿfþYï¿¿ÿWÕÛ¼v ^iúÁy]ɇ~Xy”w„›ñ%Ž•ÿi¼Ö>†Ø#ãžÅ—¡'ž;>øB{U{³‡ØõÎ*ÿÙ8Í8ªñA¯?:7tÎ}×Ñ·ü~í¨<ñbýMœåúài¸D}ž²v'Ï]“¯Æÿ5ýÞ]ûgfÏð‡KNô"{"ÿ\ÿb¿†? Ç{ËëÊOkï’SíN8+ûbœ\äwŒ‹êgž¾K<˜¼:ÿS=JnŽx~ñ|gâ\ù6Ú—ÜF^:þ0>rîŸ ~×M9ñžÝ‹ûâ)Ó^ßû[ù˯9<<>·|å¶OèÌÍÿ8)» H~´£ø‰ì`ö½ñûnù•.ÁojçF.’_xŽ±;Êv{Í$O7v7}RO³?µ#}+.£~“§J_ùãÏÁ7Å“®;Ñox~â:Ÿ¦qÁž¯s¶ú><ãè¯|j¸VýTN°³ž™üóô8Ìu®k^§ø3<ÿ…Wšy«á•îüS?Ïþ—ħ3¿S^B<];°§â÷9Zq“óèÄÅOîË®sÀ!òˆÈ'÷½Úa<˜=‘·I¾Á ο[qíuëÈOõxý©Ý¹x¡ÏGÿMýÈ;ÌzOìßØq¾¸ƒñ9>äbä¯x|›ÝŸ /îÑOâ§þÆÙê‘rP?hW’§îá‹gÿþôI?𮮣߯õð™ßÀ‹—Xçåwà[ÆΧ_õGãžùÊ·|íÇÉ/ºîu­ëÏžÄ7ć_öCûœÍ~èÅmŽOy9ð˜¼ÁÌ‹Õï…‹ñgÃcšÇ{ú1úCü´Î6CµÖýf'µGÅïþ7>>òõ×ä‰Ãg]û½ë«O¼cû½»¿çÍ~C•Û÷_¹ó÷êÓûàÅu_½*ïÕËýŒÖüWåû¹Î o#¡«óÖó…3®É1y”‰ƒú.ø¶u©³bv˜øí’·ñ¿}/{c>/;žVÁ—òž/»òµÛï»/í: ý^øLû(‹g°³®º~¤Ïñâ×pß›ñÈž(GÈõŒcx!<Ý»æ{5¿|êiûû®¼›ãŽ3^r~ýÇå×¾(O€³µÿòféqåµÿëI×<6ðÆè[x$ýÈ.WÖϯ¿×iÏ[—{­Kñ|i÷?@\°æÃdÀ»îÅÇk=?<Ñì«R|~€ß]v©z½~*NìÜ÷ù;~øZÿºòÎàÁé§ô¾ñH¾GÍga7œ¿¸®G}×¾:ä™ÝŸ}ñ†Æw؃ßñ3߈ç~ä÷Òã?pÈäWù{ãò{ß!ÿ2òQ¼ÞÁK®q0žE>G°/ÎZótÌg›WIŽ³ßò=}wÚ÷ú1{S¼?zT½€¯¿ôìXó Vç•7ûb4n”³ÖȈsÞxN~úÏ“âÇ÷ûœë^ëùøÄ÷]ÏwüǼÆYþÊiÿ²u~d8±r.ÜÙ÷*7|–?1nƒçÒkGF/À%îÏsÍŸýWÀŸµÙ'òp틳Ö% ÿ+b¾:}‚§Ï/~Æ^¬õ"éIv£zOQïp­û=‡ÃZçéyw£ïðË?^;ÓíNã4ûj¼ñ™ýfȯ|×ġÏ^ù3ﲸ5{ðÞ«½³ž¤ñ«_ñ3Îã—÷õ¨Æà“ǘŸ–?LŽ*?û‰¿„~|Ânû·QŸá’ßìcñ2ó&>Œ ‰ƒÖ|]yãóäõÛgê=~þɧç09ò#¿ðÓÃWïpïëçÖwŸ#nšú½z·ï±|yß_vüùØò3ß+¹È?Ƈõž¼rr¾šy Äë‹_—ñüNß«Ù!ãÝú=»öÊ÷<óÙ?2ò!^Á~ºïøÚ7»°æ'à<×nñRÆaÚSâV×…ýNyî'¼æê/Ã/䑇7€~­þW¢ïùÕ‰G²×ÚÉôŽ8aøøÈøŽòjù'ãóÿûßç÷'ä’ âƒÑÇì ß_|ó Ö¼Ëòħ®£<ÐwðîC3vñßúáoþæ?ý屿ýË¿Où÷ÇÿùÏÿÓú_þò?þòïs?þýŸÿéÏÿün~þûÿõŸç÷ü‡ü§wóëßÿßÿé?ÿóÿÑßþãú/ÿü?vóÏþïÿá?uó_þé?ÿ}7û¿÷½ø·ÿ'UúôOÿø¿ý‡ªõí/ÿ~ú¿þòÿú¯ÿõûoþü¯¯º½ðù?þùŸÿüþ‡úË+¹ûþ¿ÿ/mÁ¹ª#°4ggplot2/data/presidential.rda0000644000175100001440000000051112114160774015732 0ustar hornikusers‹ r‰0âŠàb```b`â’Ì@& `bN æ)(J-ÎLIÍ+ÉLÌa``)b 悪árÍ,NÍËÈ/O-‚Š°{§æ奦TB¹l^ùÅùyP«_fœÃâ–_”SæœXT7ƒ-(51=®Î©´8fºsNf^I>š3È)vè1€À•za„.]¦f¹@è% z}„Þ­¡Aècê €¬É9‰ÅÅPÿÃY\KRô?¸#¨d¹Ãé;HŽ`úÛ^ÔøJ-(MÊÉL†‡—Kjn~rQbIf2nL]ĘC¹.ÔÎKÌM…0 Ì£ A˜‚â`*r˜Só`‰‡µ(\‰fgQ~¹ÌD^ fjÿÿÿÿ†#H¹RKõÒŠ ööÆ×-$ggplot2/data/seals.rda0000644000175100001440000003773412114160774014377 0ustar hornikusersý7zXZi"Þ6!ÏXÌà‘f?Ÿ])TW"änRÊŸãXa“ÆqÅjnçj-&édAn*³ …ŽÑadnG’b}8SbwÜ pÓúßÇ«•É#V²Ê“AµŠG¾;Ñ:þkK¦%Îý¼4¼²@ÜÆ¢ @춻®¤§áN_ÕqÉUèžÐž[s•èzCÎÚ¯æÚH“Q¦X]¤½t“,Þ8)v¦—Þuþš¢¸úsÄ\Ò÷*«på‡B°U<ÎT&†>á}ÏHƒŠ3%¤›j&I±LÐo$1/fÖs¢HõC/“™þ n$¡³Õ˜4ýl(êr8ÅrËóö1‘ƒ‡úŸm2ä^Bî3ï |Ä™j¶³²¯ˆ¾„øzψåìXpÝ÷®Îû'¤›ùFï–É’„Çå³,$ýfM™èç±,FÿåúÁƒåE|‡Ó»CaÛÛ#¶â´){E˜—6s#Òˆ/Ж•^Bj=“øXÞ•ñD™WöHÍ~“>Ò°¾“$=›ÂtHxy¨)îÓ©Nötµ†ÂäÅh|AžŠïÌ%.N=¾ßñE (Ö%>©g6€-˜d©9‹žHK zD=‘±×$˜{ÒšWãÕvcœ£!T“bÜ´Ýã Ëdª!6šÁ)1Ñňr=P†¾½¢CS¨Ž¸&³Öc'B‡¶ëŽ“kå5ŽwLF¬‘Éy4͈B²ß ê½Ù4¦ÞZ aMX)õÈjŠw±ÿdÃE2¹¢ÿVšˆé´%œI.ºÝCÊ—Pïaç`*ëù"áìèÂW[;Ã4#’Š<ÏÀ¥ëå @ûAPm`™šµ‹¾ÒÏ1ÁÓ–æ“øÕâ1ø¯¨E½7HtSIc Ÿ³ŒØ(³HæfßõMBòp\ë‡z²tª\cµ0a3Ràùæàuú þ1µ>{V6D(‡ÑlVTýwæ¸Åóp«0™‰·Ä#áoÏsÈ“E`§¥9…¼—›%ÁÆ\ŸU‹œ½J¿„´G²~‚4˜“›)Îw¡÷4H>êYÈrDˆdå©6Ñ|Þ—Ød”[^[•€ó6eØ¡ÀÁþ…"£Q…ײ½QØ LZuQa!sÏo&8‹‡ýêtëíg[.¹¸æ‰æÜÕ¿¯s†šJÕù7ÔnOõ:/…XNK'üµîåàíÔ÷Ô؆fï?4§¬R8ŒÍ5¡ \4Å·ÛÚ>k=ãýðJY{C@µEvHUkzÌÁ s‡Ý>ŽÙÖÕ¡YÞã;ðýw šöá8€¥pV®n&b ˜o{3BqJjáDÒ}Y½ƒˆî®é6ì@¼s&š<­õí!|íÚ¢$¦$”ZãyÜÈ/²½Àay ËÞÎX‘NÇBDøÂïhû}:ijÁÚãødÍW¸ÕµÁ‘r]¾‰ÊI¤˜o%6s¤]#L]ý3sP8ÕöÒ5³§‹i5¶álFØáøe6›—x[õá¦BÁ^Ku»Kºbæ"ºÀØ©¬yÏŸàÈ"¾—xw2­Š7›æè[>#uåñsŽhíGö´‚@¹WéD¨Ü!_2féâ^¿]&ð,SבŸ°#H!›lš':6ý©DB¼WÆ͈ ’%—hôkð§M7ÇéAVÛéioBȳx·QÌœ³YmWÕ¡pò{Yµé±.Üå«Tû^0·ÏSçYxìЉÑ'¶‰hæ°óì’º>>‹*Ýxç.Á|,öÿ«]ºŒ´¥9²qwA·¿šJ—S`­w0â§O–³*ë.~k©©fÏwT·î 5 ' duÎQF ëF—£?Í;¯«ýð© _ØH¬”6¨*ð®G%y[f­×À¾*e{‰Ál5`áfqÅÝ Å™¤)•ËY>Ùybcw_I‹=ï[±rš¶–lNÔúýõi/¬´Ô¹œ±˜rËÒa‚5Å7ÅÏž±°³êtúG²´Ð°^+\Z—x–U*¡Í®yƒáïÚ¦ õðÖ¿¸…CäeéÉV6­K§™øÂpv¯)&®ø²æI¥Àiº¿tû¾"B©±‹—ÒB˜q÷ž›ß¹õ`¢=Ïviˆ¥Æ¦ÔMŸ™žÌ_2þØhLÕÊáɘ8rF'âôzÇóÉÝI?"a­!s-y¥¡Iíè@[÷OÃ˲Òu«¾- ÂÓçÿ@—?ØLŽ/±%¢Ð—Ϥ'k„]Î\ÈBbý±±:7£ Ùoóˆ^adö3@e cúÑ:›®‚>,‡ªþ£÷å}»bŠÚ¼WB㊙oÀKnS˹îñ÷üyN—ˆ…é˜o¬„ƒV×]PE$È£»šVØâS¹]­(Çá©3ÄjB¤¸1Ö_kYÂÔØ iÆ¡.TÅN…vçª CŒRrE~® I\nhSUÿ*YÔûI¨‡Î˜jÎþ†ž"‚e½P8þìÅ7ËÊ=%;qguÎmëæªsóbÇöPþÑ5äžÆ඗p5  ·*û€{v”©6 DÕÙ¥pkl€ó\8‰w&@¤l3¶I5DŠé]ë[^d=² [aÎ »K¥ËR!=pö/¨(Sð4ú’Ö€t-+ãµÄŽâ †nGºJ–ú,Èd¯ÛÖ¤aKb(ÿ$½Û„ „UYY>z»x°½â+Šž-¼—Áâÿ‹òØÙ0óò»Ý€°Ø˜Çï"(“ɽóö› ÇÿЂ4Z”c@é2jU°ü¨:¸b £wêi{tGÕp"Y†ÆÔÖ6†$F_ã£fy(Ødæ¬>/ï:ÝÒAÞþ7ºS‰ƒÅTÛìDZY0 ¼Tµdµ;íŽ_*:ØìV±G3‘Sxª#…H澎¶±u¡‡‡ð…çÿÁ Æê=þ/%˜s¼•ÕY÷ÙGT_†º4žÜ®_bð ,> "¾eÈoÞLGv¼Ñ…‹Eöø6æŸè¢C[EVo¤U?(q2nh¢¤±{œ¡[]hv,BÓŸþD²ÀnÀÊß1U†«¼^¯`¢×™ÁØTŠù–8wˆWo&¹ò$€Í¦\÷¼¯f‚(p™Ÿ8¦ä.ÐÕ§y€üˆLüòD( )6jvqE5í÷Çib•¬äåƒ#ÉÀ ˜—Û)nÍÀ¸ÒhDø4"®ð¹¤MR’Æé¬8^ ÌÛKMt=, ª;ñÀ/ÃB ÞuýѬÈû ãw‡Ê½qꎹE@¾ëBŠð(!Dñ>è&}4_?cÁÚrêrv>BØÁÿ-w¨CŠ”ÈÿEÛ¯H·&~*uhKwÝyà·ëÜŽ°«¢“ž¨RqQƘ¹hR2n°×ðm€†²ø$ñs]YSãÖòƒE°@”+êƒÞXšÕ3—6Wàx%ßpß'VÈÛkFtqšõÏ®Ü&6Ï8îHÎ7•GCy_ðŸÌ-E,XðLjñÑЭÊSœ_©;µö¾ôñŸ/ëõ¦*4ȸ$dD¶ AaîU{ü¾Ôª­FøêÞ4OtZöA”W‚Áòæ&ü`öÚŸÑQº›ˆ–üäZÅ{&DÖÕ˜@‰²DóH¸ˆàˆEO”í—ÀI^Ú·Ÿî+%ï/b‘ôâo{;›ypM‚ÑLúƒDÁ7F…Ͷ0„úÌ+ • +6ØǹˆçòDÑÒt£“ÑR´Ã‹WKÃ@ÿ(}Ö%†þX~ÛêÇw¨»yw¼èÚ TŒê¢ì;Ò%ÇØ!U+ >áug&Ú•¸wNzîëuÆŽîšt’ÓùL@ ë…+ÓáN¡ÚSfrÌ£(¼ K©g„¼%Ö¶P6í¦ò¨/Ïl3û ã*¯s hγÛÖõҿˈx\Z.pVdrÌwåÒ¸€ì X2Ú„o¯·Æiô*Iõ»Õ«D/=¦©8’BNÝÈÞý?ÏM˜ã \)Â5Ú’Ò£º}óŸFÏÀ,ë!uu®ÒñßnÐ^˜ÈݯDE„×E;KM à<¤øyA„H_£.x,— “¥x}FÊ„Hó•Ùs-ýÌ×ûËÛ D¶^0—dÍq])’ãO/…f›5.]Í\ôWb²ÝãïxˆØ¹Ny€e%jö®Ýná"ûAPòië*Š#ÞqPO`ôEedÑÃ=Ào{üõmŽŒÛEn—;ÏÌ[8Sª¯g½ŽNÕ«~T¢=6~ži_¢ú)Þ¸Ž߆g£Ö%èAõêrþÞô 0œTpã¡ûU«~<ø“¹{å=*èËžèfCS¨À¹» ‡(_âopI çp×Z7ý+T‚ è4²¤»É`q™= ¢Um…عݾÔÒÖ«ÆQ÷ˆç‡õõÙO_ÄäÈ€(úÖ`ÜmdÄŠ+D4‹9oÓñþÅm½Ö¡Két»…![*d¦sn¤„S¬Ï¡¼õL˜&Šõ³–¿„»`Ñ!>h[ˆÌ)D)‰pÒåDOŽ?% |dÂ~÷!¸M³@•~­D—µîË¢pçO“ù_ëxÔúšp*á+ùL™xöŽ¸s4KÖ q„zù®6ñ-VåΫ:ƒÎž’èyln‚©Ä$H]Ÿíñ}L€HE•O~I+JàÂïBÃ=ô ìŽÔÄDzá³]˜¬¡Û`‡'÷å(ú˜LŠQµÝ(ŠaÐÔëºp]G»SÿSœv0ª¬ëlÇ vå3¦„"Û Ôpˤ·l|¾&©ƒÐC¨,°Œè°"ûºü]v,ÏÔ ÞQEìòf+éË·v;Ä‹¾I´µçcØ!y_ô B­<é€îÇDÖnõmßi)ü!®nÚ42î°ª£üV ÓdC˜ã鲆¡1í|+ÚJEB¯J½C;·8V«çE¯IA]q‘ÆmˆŒžYfü:qæÁM¤÷ÊüM üï†Dhá&Ä,Ĕ§ªH_[–ñ)¢{ÁEEöd(ÁfÊ8ûíI¼,Z…Ò›KƧâ«ÔM¸8ŠD‹ŒÎ%bæ²jÍÁã ô?Ê´²µÖICzR}¶lvœÔ\4~ßpDd×¼°»Œ—9ªûTäÓd†ÄTä%*Àɇ’¨AÞˆ‡:ÖBÔ¨_T ?(%|>¬BsŽžåçtýî©—1Ì䆽|ªý+2YPÕ ¸V]¸!¨mÔ7s³\“ä±½Ëõæ„fhDr*n7Aý0ž2þZ=Dç.QÐŒ¦Á·4õRÛêÂ5\0mRANá.“âlo´ºù³~}±YQ%òþË*Îíba?å¹MùwZDº&qìÁ:Â/¶xŸÍ8²}9i‡Î½yL M´1S›\a©”³x}VU˜Æ 3Ñ;Á—<"'☜Ÿ¾!:xÅs”¾Š»m1SºÁÄO—Û±zØæn˜2.—;è¨ cËÒH¡ß -;•hR5Õ±ˆ©I¢mKúÓ.¡YœY›0Ñ3¨ú›ï(ÞÁß2’ó£èÜ…JX^¨I$’´)íÛýJÀÀ´$–óͤ=U\3ªÿß¡B*Å ãßBAÁ¡h`v«jˆD0Ýpl88zo «5Ï=ók0"ôjßAÑÞWÓ%|°v@Ç‚Á•ï†QÄ´׶èȳ‚ýÔ´$CÛPP¼ûZZëÃA©Ôl{,KeäŒÑeüS=Mîûª7ÃTlo&óŒI‘ ‡X.èp@>””X.%Ïx¸+$‡œáî£Ä2|ÖùÊ$„Çï×H8Vćß0ú…¤F·Í•K[رµÐJóUl›Í¬pË, W»­t6FÊCÑébªŠ±­†žp›,™›Yï³®j ºÈåoÍg1ÆÈ⨊,๊ŠûÐ}½©=qfµ€¸ÂÍG¿OÍfknٓÕ¦vM´Ñ†Ä<ûøoNÛ¡Ú‚rB…ÉJLa«j¢Ã#‰HÛؼ‰Ê8«¨ÔëL·òôseˆ±óNLc¥q•ÐBÃ20Ìç×'ÀæÈÉòo#rPA±òŠÁ]ŸÖn¦a?Ó_Z3°’¦-ãÌÊ$ßï|÷Íì?D£_—t¯J">ˆÔ÷YuvÅ ®Žâ:::¤&´€†uQzý¶­ë C°pP[3<"ÁîÅ8Ϭh*Ð75ÎFó˜qšv_· u©¡÷cö‡\h Ù¨öù‡`Æî”óCÜ©tmÛã#l%cJÑ<•ÝÐbk:#™~Êû²÷ƒ¢Öôzë‹0Mžœ*ùeYQ·éÝ¡2Ìž‘ë8;7 ÿ§Â$¤pؘäÈpR_ñ Ñ ›î²±²ê½d{eQBÉ壷¡½SRéØOá7`p?ìEúü6 $D›fš›’9AÒæÚ*®CÂÖ Ÿ›¼â4 ië>™”H‘–#‹ré¢öŸÚê¾ÂÑOõz„½VFùkÇÇèÏÜ|¿úù[ÍfBn¨Jg Àê¨Kuð$%Ï«¶gºïAª°ÓH´LÏè¹#SÎk~á™GÌ3Ù|JkÕ oÓ|®€1·ÔõÑÛÞŠ9­”k-tLÎ8ÝÔÿð²Çkc¶Y?[‹Î‡(a€4iꋵosRýÑð i¥”ìÿßÖ¯O‰­{  ÉŠWlø5 {Щw =Œ»ëÄš=Q8ªòV÷|t$Ù'µ2x L·&#)« ËÓª‘?‡„œHóæÁŽN!P’Éÿ ]ët^Ùi4ž¬¬ <riœA7?Þ­ËíÀ²‡‰t~SÊŠH6~’`wFËm›„ôÈ£¬«S®º?Ÿ±%Óó‚r#ÜOš^© ¹Î0£PÀµ§Gõk=åL_¯¸pf×õ0†Ö6ïüúa°¤h°„ëåä“ÀõVŽe`@xßÀuñ]1ŠF>[Hø"ÛÃö¨‰@ÊW½‹{¡ÍÔS•¿"7iÒ0.Uÿ˱ëõ²æ|0æL]~€KŒ¤ jÇYûJ}—7´ß70¨ØŸÒ·-uÑDÕUSïÆ6å¡—A0üò™•ìgY™Á› åHõÁ|ã‘HvgyU,Þu?Ÿjj¨¢Ï<·ž­ #²™¨ü°ëe…W‚rQTÕ'Råó8æï+ŽÃ‘£êvÆÚ´f\`»£_ñJÖ†â€*'Éû ¤•mÊf ôO@ðì,–ÿ2¼†RRMïG/ŒAÚ7ö?Ô¬ÎÕq¦Ç&qÎ0Ö}³®vzØ|1«¢¾Y?¼²ñÒ?ÙÇ$GÜÏòŽv³º® Z©Ú½†Õ,‘ÃêÞÕ¤&ý²áÆ^ G¿aDßeNgë;e[Öp¹^©6ì| 7EåJà]òX“ßèæÕo ¼%$7=e`ƒ4åMPaõü6Óó)Íùë+E™ÇB¥Ê3ê¨úŸ¸Ýô?ºÓ{±UK5µM<â·fifÅkÞ‡yt«(âá•î°3%i…ÿÚ^ZjcNQdÓV (K¸Dìã¶E%­z§©ç]ø‡œ¶¬ 2JEÜ£‚Tª_¨f2îõ|?šÒèd´¦:òˆ;Š•[ЋwsÀ‹óaÈÎæoÌ;Ç1´|;î?†ÂÂØ! “ÉrÜ7­—&Bϧiußî6AîTëà’ë®C$ðdo8¡—*§#Æ¢,àš.W½«`ów'ZZ¶‰ë(ˆYÒ+",«õj=¬ŠÉ€›ë=#0Íž/wyøAÕ<Îû•:öQe$ö©³ û àðT³p+;$'è•ÓÚ[&Ÿ:/¯ÝQ|T…oJ¡T°Ë +*Rµ® ÑöIZ¼Áª½Ê}?¤››(˼K~ÖúJµ+óèRbSëÏûŸö.E9¬g-ÀØoÉ*¶)ý“²)ÀFá,³ã†~?µÚ“iF™ Ôöwn§AÇ]ÿ™Ž òpÔò¢óíü7ƒ>"´‚lÃy`´×øa¡Ë#Ò­u~ŒË€³U=/²prxìºÄãé§^ЕèëZtÉL"ÛXBa› U¾å Ö míí ÑL¼+È×°xTìÄÕôÏ ýù3³îꦨ¶ÿ NcW½ ¼9œŠºGbyý'¹Åè‚ ém«bpòŸÒÏ4XìŽ%ZÍ…/£äÉ0K·"³¡¹(3;€jä«SÍQ´c—*FµF\8%»Ú=ƒ+Jꋼ°÷Õ—yÄG¼QʉSS´MûµY#Ãròºf8™%Å*Sú **±l ŸpA¾øÉC@Ý&w¸’»ÆVµQs²ã‹L¸ñU!gg_®ÐÁfT=å, @÷ð^ÿÖ>èô¥VsošÈýÒ¤¼ö yS#fÔ×"73[Þ¢S™kŒÍ5ï»êCTÔ•ªrtŽP||‡ôïHUæç³zíø¹Â…fLÚ²„°9A rÉ|#¬º‡‘ã#‘W‚JV`LŒjyžŠ°A¢ÐÒë±9MK}ÛX¥[ +ç4yOüÊb%$èäŠI•”íQ (Õ“¢5ΘâÆêËžÊr’?ë7à,YwÙ;ÜÜýRäHç“‘œü«¼ä˜wiÍEµJU´ð%ΙÊ|ífó.;†Ÿ¼ uç°Câ1Á…ýÝêŒ9Ês`ÍQr†-*M¡á& °çÍ݉$ùm.T¹îrIºÃ>:<%Î*$­+u‘ów–iß䫶• Oü»>NN5ìÌj“«!KYÒŠnºL†-áR> æ¬A޻⯪À9‹”F²†Ž%<˜/j>÷,ÀšŠ}g<´;Òá'ðWqE™]ìàTĬzm4 èJ"b™:F?5‹’Í¡Úc§œX›hµ’¼†‡6Ì/÷™y™ä·:«›DøJ•*d"ª˫ザž¤šìf‰2ð”&œ‰xh¦=vè}ÊÃï!®_Û’Š†Yÿ)ü7õøÆy‰Òj{»«½‡ÓÆ^+m§ìn]ÊÛˆ‚а„TJ{¶y¤ ‰ì¯éÿp¢ñ¥'qv=§§|s°¤—›¾‹|§Ö¿(Xµ™ÒÛŠñó-ùœ¢@6mãÑ‚¹DÆòCŒ§Ïì ¶9ÜKÿYX=µïñp²ójY¨ÐG`°M @†çaÅ<ŽÓ]t“00›b x~á~—pEèÚ2þ›Œ?¼€ø ¦õÂâj†<$»‘L>(œ3J{]Ÿ‘Þsµ‡Vs|eKƒxÙv|Û¶!Bã§N×(~Cø¢“8î‚ Qâ3ý çnL°ù¤Ð?t§¡¬&,Ô‹4ñ9n3~X¢yek|ÚƒKVW3ƒíñ0“ÎBÎ1«¸jnŸR¨C\Rš¦Ä¡¯/ðôÒÖ Ë%„¨´Õ®Š¬pË SpÏ y†á¸Ö[ì¬÷ñaËH½ßªHÛ…Sì ySßÞС¢n ?¬þÙH† ÃR}ø]R×d“ŽF?ßÑ:ß+šì">•£WÙRòÉG§ %îe†dÕ4Ê×ÛFV¢ýŸuŠ8wª”LwÄë¨}ùã§íÕðíj8¸Frwz¶yýNïBFŒ"u5ÑDA¸„òOªÇ€vq|¹l·ÿFS¤È„FŒú¹õ»t£{*5±é–¨Ò±5S½ïˆ´B.tE†T ™hk Åè2ݪ»JüÁoÓ,ðL§K kNe|”ÉyƒZ¡ c'e¢7ß0=…m.ßH)0cÎùâË'ÓŠýŸlxrÚ{)Bƒù¾(͆e×mã-Ž‘þ­SÅôëgÃj3¸„¸·Ÿiè=‡ð½0Lbq7 €” €ŽŽ ¼ï‰êß´^>“ÆÆS‡íQ&ä,iZ*©†Døåp}•vL90×ÓO†}"À}AÙG~¤¹ F¹L{ʼrç„Êïõ7|nó¤–„ôeZ•ùXÑÝœ¡ò›=â{K¤—$µï‡*­Ü²÷B ¯¤º6#«kÅ¡æ'C ÷ä”ÏÖa}Íêc½õÍÛg¢OÙˆNh~5½¼YWw´èHïq-!}ÍR‘òCh•G(ÉÉ›’QÚQý™â·?=kˆê¦¾ž+Gùº‘QY¸=_u^Œ/aÝi¿ äoLm¸4ôâ].?|n]>R\’í';ÑÜ£!®<Éœé451pýÖwÀN YÄ|ñc«‰»o‘„®Ñ.”×ÆÕr²1D¹èÌ«K횤ñwb¸7Yâ)êõÄ çˆg„ù¡gôæ¹6Á}Õ>—žQF¥·Î =Žuöõ·„PV€CYM´¸ÃÑÉuÉ×#×y®nýôÑ=½G‡’+×Ø2Ùÿ³<½ gú¡ËL/XRšÿ›Úþ­ Né‘6¾ü`W¦Hn´'4Æ%0 ɉ+Þ¨Ùt½y­¦žñPÐV†BùÕ@=Z¾šŸEH >FwŽ †ªÚ g¦¹½''b°~ÑW”ÙGHk·ï2€Ù;YÿÝøZªÌŸ®kFº2æ ÁŠ®`’Õ-[Å _ÆDV>G*4 ™‹eXÍ45´ökmµ;¤)(¤›bXlBl÷+»vÐTÇ„Ék5.š¯ÅÅ&Ö|`è´–ÓÌÚ9 sÙ"w‹ÃZgU„<*ÂœƒÔóö•ì½Jt^/ǾÏæHø¼JæÙ ‚çÓð ìYV²`µ1‘vh;õ¸pù;5š·›gð:9È1¨Ç• Y @uðv*KŠ­tr¥Ÿñ –¥Ê×øpçï(—Oa\ “Ïš­V ‚Švp2j‚‰Ô:ðÇϦŒöîÈËóWíý=Ô_™¾%•Èð<#”Áâ!Ð]GòWðKüß6upÂWþlSFØb0´_ûâ®z]5p¼‘‡"Ívu˜8;îÅK*X˜{çjïÓÒÿýfÓ!)ÇĸpÍü/Ú¸Á3¸‡”Óš@·é…àæNš/Š³Ï±Ý,rµªÙ=ä]Ax•'»)³¦AæÁ˜ÔT×€¸>Mq–"tBŽIçþ3Mzel)°æÌ”u<‘—ÞþVO‹‚´ü’— ~rB<¡¶WE?ç [ß÷Fy€¹Þç=å2¤jü…¼\uѼ1ûºmðYNÞí*Hcn’¯WÆq~ôÓ Ìž³Tì„Iq;O\§¶ÞL: —\o‚ fß]ÀÐ=-‚ãB];ª>Š¼ì>]=Ùu?@þ¹üà¡+~¹ÖÄîm³š>õW9À5¾ e`r󢆕9sà€ÉÝÀ!íá21Ÿ‘+ôx•Õù>ó*ÂNè1zWcþQôIƒ3E¾MÛ(Hþ.”T ç,¯wXá2ÓÆÖ…@뙇dÓ&Ù]^¦-÷6øu´¶qEx0ài Çô©4Å 4 — !Éí7' Aë ×R²jSko}á ›tã:Ó›âEܾ¤®¬z¼]·íŽ=\M"´Þâù¥Ø üýß/!–¼ò•­ì·d`·Màï)Út–MÂd+Ïеœ®bùèt1"~ßÓâ˜Ã¯Ü°+þüþÂóÎIxÓ6úÞ6Rœ|²Œz"'äÀëv4}9p"|Û8›|EôK­•Ç†Ì4‰UÔò³ßWfÖ2iÀ/¨óx/°L”A÷iħ!ÿß«°XÙãW3ÿ½ÃNq¬ï `+©Q+ °UðêõT1¹ž¾‡ROUž|ïw0ç€ ÎTÂÚ£ÞÆ#2Å]pV^ԶȿîTôm'70£ÝºW©Ÿ†§9@Q²r¬ azIJVI³‡¿ÄF‚M{^Œð–uÔøYÉÉ©6ÞNo; Z~’N!fŽ’¦Ò‰#Ê´j”£ŒÜHÿ@=vH.…„6–Ò´-)c¦ÿ[Ì?RÃFñ•?7¾ËîÖõ‘@L—…R…þjwrwëgmŠ W|ú³ šïCj·Wï©!ü¥< e_ ¾/WOEÛPf)ZÈÎéu³|ÔžTÂÀíº•Â™K4ÌÆ™n‘@Œ‡q¼i7É] Ô¦Ów8D¦ÜÇP%ˆK!à ¶X>â­Ü *îMyªRál¶­ÉíbЃ¥zá?©¥·SHë—4¬rÌ¢µ¿ ×½†yæ…•ë“ÏFÕjÖq䜉Bs¢6¡€Ôå!Û„Ú´ƒxœB5¼y÷XŸj¶§1—jœ¨K1ûÂÒ™Hl¸ÕÄ\ëQÊÌçÙz¤üWÕ1³ T/ž¤ëc¹Lš÷Sü ·÷oŒHÞ¡d$îÏuU˜W¶4kžâzÉŒ¶Áw|ŒØ)Øì š8–ŸI!õ!†¹bÀì=9ÃUcU?G~ŽåªH 5ªÿcô Æ!QIÖœC¦P@m°\©Ñí(#Z)Nƒ† ‡4Ÿ„2®¤^7Nè¤õYÇxÀÑPòfòUƒº/À¸‹XI·¼ßœ2 áoZÊ×ð…ÀY<ÁB«´åÑѳa†NuÍd4rÉfF­6§ž2¨aÍv¬z*1Š^r˘Zó™ökÔ´pºQµŽX÷ånÅ)¶”½kE A³ó*t7%+È¥AYÉ ‡ƒ Ys,ªvÀ–çï*ÿ6Ðñþ•äõ?\Uü8èG»P:vsä,V&á7žmÑÄzÉíÛ:ƒ•þ@À`-…‹_;¡üOñF’¶´7Ç£àõ£¼¸Ð~ éçÕ6—CãÏ™-g »P!úÁ âs>X÷Š ð_¸^'áø^@l¯ÇCû #?ëó‰ä>äØŒ"(¸£ù8Nm²œM­ #²ÎÖèê„É”ÃðTYªô´{Îß#Î'H4AàSE 6úy‚í-Ýø2rÜ5¹¶Òš¦÷ù˜D;ŽÒ¥­|7iá[†Å´I&sÜòPéãš•\¯‚“˜´Ñ¾7~%ÔŽÙ9Ò‹×( õ‚Zµ¼2ê*b×ïE½œï‘Ûã)'õñ¿øìÊ”á \Q uª/’1]˜êTI‹NðÑ’."\üGM68Ð@R‰ä›ç$¡Ê¾ ìK©zª—t\ô†Çpž°èÞ…gÙ¸F»$`GÜEG‡ÖÄÐ i ­ð0MçŠTLðvŒ¬ÓÙK“ϕ ̦°ùçµÔ£A`›Ç†¾â>3ªC,ä6•;…S©êF:è<‘ÍÀ?iàþÓ&àå¾¥3ÌwU™GV¾ …ë@8XBTÊ|»Ðð×kHŽ—­Õ«€t )J ïï3¶d«â6aYŸ«ï Ý’ÚãÑ{H a§Æ1·"¿x„gj*B“ …vçó)â°öñ¸Ä•µÜÕT:,1kB—]gdio¦½ME57mŸñÁeX²]Ã\ÇžjD =UŒ5!Áh}ïŸLï?â×GÑ&:ûë#¦çüÛÈ[*Ôÿqn^†7Ñe„›ê‘ÿ Ð]›C4?”SsY‹-u–—ÕAÈ)Ù‘—¿ÇJ'úsæìzÊ›ø?‚YŽg•8x pÐÞJ>s;èð³Â{=Jçin¥»õí9b¾;TÊ®wˆ¦¯Í‘ öy¼Eeq.+­B,ÈËåœ| £ ‘â÷“rN1ðûœ&BgåkX×(ùMMAü‰–¬‚uÌ£MlÍõÝÜkm¨úùûefÜ4_•@¦O~žZ1E#ѻ⭩9œ#;âþ^Üy|¬h.L¢ fô;Ú€bMgkº­ž†¨óÏãðY÷g>¯Ýž:ÖuæZÚå^»!K0yô.ÿ”#ÿ ¯ˆÃ ÿ¯¼ÕÝ>õžc­©ì…gzsôˆEüh¥›Û³ËªØf9² ‚xÉeS,4¨Q‘Ñ?ªâÁÌëúÚ±!9ß ©²š¶ló/ž¡çÊôqmb£±h¬`šÄï"Â)”vYy†EùytˆøÚï›Å€ JÈG CåÑ—KÓšÚqÏ7™@J]­ƒ.£tJï£Ò™dŸBBî§;KÌŒ¸ù'x¾8‚ÝâÎøS¨Óˆ¦ÊÅfÉ„ŽÑ†[¿àÁÆzðÂø]î¬ö„¯ðƪå½øû@³œ¯ÐŠ„®ˆXËK~jvHF‰+KŠÒq³¬êS‰ëîL͈6P£â=¨eÞ‚[ÊŽÿ?Ke T¸F på–Ü”7Âl˦úHú§Dˆ¼è£fÀØÍ»ó“a›Ÿ#3´oc|l>·^Ñ%e_öË'2îü&þîÑ‹åD¯ÞÊp$Õ éÕÝʧ‹ÛìXظ¡¢%a¾Óaã>”ÄbO˜£6"w\yÖÊîu%²àrG™Mïéq‰ù>‹8N·u®ø}m‰Šd²¿äzû½©:ö‡Y;Î!u8žø)òélý|º<":&¡é ÃvNwóæcî0ÏGÚQÔ.q{›à„IíÒHÔ?9β*4°ÝÓxLq<÷$µö³˜:÷yÅÒú¥—)azÏÅMýŠlà‰®]§R®úZ­ÇL–Úá~“Xà¨ëú’5‚ç×5Êï“pF2xøaØ;9™ååû5µ0“ª#ÔÌqp‚#,‡ƒ“+Rä:ôV¿Grµ5Òâ¦áo´û °\—ƒž‚yÉ$ô9½ØºM}vþ½õ¶'êÂJÂü–§y¶CYöPs9ØÅj•JÔDðºyšs÷MLi˜=èŽ[teN4ÏüépçómÚõ·Š©9M׳˜óZ¯ˆŠT·n)=™iË>iW}eD-2ÙûŒR”‰óº”¹KeR2 DmBuÑ(£ã ©T7†©zÀ÷…áÂJÆ<¥aɆÅT@˜ÖmhÒ0ÑîëNow©?®B'Dq'ú‚¨°A]9õ˜AKGZ4$cþïàCl¼|÷uêA¿ö!œRÄÿQqHõÕ@gmƒ,Â|«A#ÝM)H‰ç??‹6•…=6±>‚™ªitv@õúoÐc8(µqP,”БÄ+Dsëg·ŠùŒÁfÆd3Æ”/ß“‡55Tä§ØØî¾ÅÚÒ2±½g ð g¿obéÞèæ;zoÒëMüvŠ·wr*Ýжó¦ÐZJú©Iø:m³­G€ÊNê¬Ýnê‚Œ‡Ýmƒè¡Û¤2LˆÇ$ÀðÚ³ÏRªø#@å2+ÁdH…riXYÂLP³Ä\?†5mz_@wÅÑ™¡_3l^5÷Hš¶FOj9d™«è@”Äp Õ-ÌGThr@¹/x}Gü.ŸFrAÊ ¨ <¢ÁQÌieXБ34HhÑD«p4Aâ`¡¡|P"(í,ŽV@ ü’÷ï°Ñ½³Óu OÄxÑz­Åð5—l›Ö† ÏX»¶¿BÖ\.DºÄeòèôðÐ!†ƒÀÓ& V.(×z@$MÞ`…$ç~%ÔG1Ý!ÌXg²¯„%ͤ6íYc¢>Ÿm}´€_jp7‰C)–¢Æ1„÷#†È㾺ŸŸ6µF?3DÑ5ä BlÂ"¸vÝàëF‚C ß ¢’fK*Ú;»]É¥ÑßRlHqÿ3™he’™éd”S 4ˆÆVʤ/bÞ6¶ ¥ã (Â|-f}T”’û‡¯rŽ£¡_“°í¤I*R§°%—J”)P¨ðð,ZäÅV‰ý·ƒkÖ>àoC9[2 NÈm¤F]ÓQcà|ù:ÓytÿùôY!ôÞæ)Š-$àÞ¢`›MúáÍ¢ëÆqÕŽ¸oñÐ1·Xa?Ùç­KýæZ1yùD?«&[Rã͹6‚ýÇ éå׈Ëðb<ïËò:¿ê¼õ[àáx¥\BñXwd•œdk`&·†ZÔT[ó¡D"BŠ:ä*o>\åöõ.¨ÒÞ±ùu(@Ö ^7£"åLFký HñõÃÄÒÒžÓ§[h~§¤-ˆÄ]iBÕý‰ßׂ˜=SMlÞ»öÍ—ÂXþ‘}×|µú°œàSñúOŠÑÁ5UZR^BÈK…MVLeÑcý**ÒgËívµ¯‹u3ŸÄ•’¸“¾A‹Ì÷NE¼­dé×îÆæB’Hÿ6$&VåÓ*IÖXÌó¤ðÿmô¶©ÂTî¡÷<ø˜j ϳº–˜“˜E¤«´Cõ2¿À™Ïi¿Ÿ˜4û?å¬ÁÜmú!µÃRrê9õA[ŽÎοÞ=AxÂbs¢öÿz·zi ô1‡D) <}aÛokiä*)§a6-¯…xDÝcõØ.­¤ú]±nŒÒaxZeó”ãÞ%[ª7b”Ëh‘ þp“µ9±ŸOnÚß´С†i»ÅÄ]40Ù#È;ÉB“úì…»à>zT~Ñx:QX=ý·Äg\S°1žû¡7Åõ¤DéHÍ9Ø– ×AèxòµÕÉmeÌ á‚ÚÄ~ÞýŠð8&¸i·:žOr˜qÿ•=™"ÛŽ4OЖsôµõ :„ÖcþW\'œ”®$Ülúœ!ãbšö|_l¼½G=Š¾Ñ0ÃC‡®àdG 3")ˆ(A·¸à5F¢›öÇ|ÃMÝñLD¦(ûƒ‰LÝ<=_”ãiú´>×ñP;F S¥ƒó½¼5 ”‡¥È ׆!èe|/¹gc*T§•ø„ÎÒ›µ}œ[ï?Þ;jnÐÊëj‰ ¹GT«Åû-«„~yMW¬H—0ëÌ6¼a›|ò|ÂEV„3ô>•ö½fKáz ÊQrò^ÊÆ\½©¯D ^ìá´9=²(¦¯H<±€æäõ¦*ŠUêêJoîÊ—;|òi¢wnC¡qÅÍÛ"Å ‰õ^ÕòZ¡®ÍzkAñMÒvþÄÕåèèd¡µeVÀ·üoKE¼ð…9 ġиñ‹5šÊù“Áa}cߪSó]TO3Þ09Åèpo”Aµ•Ka÷è*5r:¦–Þ; 'Ökä>)tw_ˆø`*•¿BMmÒ—Ýõ¥‡÷°Ñm”ùªòÿÕŽw,—˜UYªÃ¤éì¿hÍ[ *ÖÆLfrœø™Pd™µ¶ohœ)2-Bñ÷QI9ô®a¥€lR¿›-¬åŒ{P "½dÏÅÓ¥væj²Žƒ÷þ`b•ÂÛøÔ|˜ŸQù ÖuèMλ‘ME²ÛZÕ Ò½Š¥w8SŠø×Ã3_ŸV]~ø v3½Ìo9E9nâóÅ 0—´¢XRdÔä]2ÉfÑèZÄ;¤…ÊŒÚv™rÚ‚»¼ÈçþûøjÅßAQlæüú…¸t4X‡¼EìºðËKðÆ/®á+d§.‹Õ`eq§öuUý¹&‚ü+Eh19SBû2Ý¢ªƒ¢«:Õ$ÎYR€¼_ÝþÛt”)—¯¡Ü˜}ÖÚÈ8A1~!}Îs<wÛåF. ŠE×Íu‰yÄ?0ör'R lÄ bK%Q*5Ï‘7Ä>ãw¿5¯_mð[Ùr›Û?³1 à•ÁúM¸iéS†ÓáL~Ø×Oe½aØh`gä±æJc¶4P½ l§9Šê! ²€T་E ¹ùKZë5wâ.óòýÆC›¬À"­»±ñ¿§ÍØ=gt0ä_$ 5±ut{ÒPñÔj;àà>éÅ()ƒaEÜðÖ 8ùÌÙÊ£]êf×ihÀv2Š¦£án—‘n$“éc$ çápÆ×âÌ´7ù3U0 <ÿ»^ €²k}oÏ%ªº1Ï;W‡%…)xæÒ*ÊB€¢ÞTgqüµ(Òòa™ÞÊísòZ€Zqî=5-eíG'€Ç'aÂÑÊ8J]AÕ1X¨½4‰\AOzPÂË¥óÈ|Ão䦑ºnL9>@¤ÉšeJ§ÎnÙ¢Ö4 94‰Šê= Ï›+ Z¡L&ö?t‘×8 »M˜ÔºCHhãy@]'’ØË›¶æ)ôÅRÍý 7ÖѤýã*ž 2Ã|4þðÕ´,šÈ©êÇ`Ñ¿°¶Ñ«‚ÔŠ/¶ì÷É-x±ÿeÐùVD˜4Œè[* S¼†H{m}Ý°Eê)y«4þRó/„¶¡š®.…ëÎiƒ MGzr[ÃrªHתœÁm¶‡åáJÅžÍ\!Õèí=ÕŸÓÿ~NüÝ3w/å¹(qæCm…W•$¼¤¹òÄnDVx’b±Û>ñòým3]œ[“;_¶ bÞ-Ák¼ô9lá_L6e Ô”eDVj-K *ô0«z@9W ÷tÈoÇã’@tN\ÊéNb—Ñ‘ßVùˆ°¶C—(ˆeÉ»\,eî̇Áßé/úT§ /fñ²8èW€Ü‘wéó”ãÙµfú> HÑÁöšé§©>£Ó-£Ò¢&2PÁǽoÌõ‹?‡z)Ò™“ w¸ÊÖ†Xº};„£yX]ó¤ãz “íüù—]4k>ñ3s{„èÂLcÁLeÁ)cJP„vkioº.,•bOð)\ V`(<‹ÔÃPŠ†ÈCèIQâ;@†x5̈áCZžÐÕ2RÍ…·Ð¼ÜæÎ7ž|Û Í0ùñú¶ã&µ­bêõ×H!Æ£ƒÐŒü|¡Owügîë1`ÉK‚÷¹RS¢ÌW8õ ´5ƒÃJºa6Ê"ò'tñUX«÷KI)ö½ÌI\Û„\ZÞ.•4î•:É:ùö^rØ5÷Õ¿35TXÆ$Eš’ÌÐ!™¡©›¬þóék÷«W„D€6 Ø¢VÍ‚×ï`É2FÕ+Ƴ±‘S¥¦£Ü,›,’HU«û{ WozYˆ ¬4A½ˆ•÷Y?ö¥=—dº9åà«q{V¤foÌx¼& œ€@YDƒ0̸ú!¯Tz–ãîÑÆ4û²ß¸¦Áò€°À݉fßôÏwRçfqÖ»xyþQc°§ùäÝ¥I!J$9š¼.IâÓHÐ`ÎyUò5]:$'1ä]v¤Òƒx}ÖÜ,ûIBíÁMÁ£.Tµ<=ðïS Íùiž)ž è"¢`,ôúÍ°*»¹9Lðõ6Z™;ö ú‚‡༫ã=´4®©(¨ùå¹aVæ„I´0XŽAJÞŠ¤*Öœªxvü>z”‰J-PDï/l·ýTò¢³#³Òhš5¶ÇƒyñÊHl³ñD!”°h{ÊÛœB…¼ây¾µê9­KÕ¥ËJd]{—À°.ÁÞÕÉo D•­êëCò •QÎñªÈ¶óNST É=5;n @ƒ¤†ÎK¿*Wx>ˆ»¼°G£ñˆ˜ÿ´%剷¶—ÛBÛ ÍØ?]à詼”•ª¯=O+<“ÁœÎþq/Ù<|Ðç[mÒI[´±Låt´’‘MÍ–œòr¥€‡|1Yª×I"S¶$FÞÉ1Åd½‡xž,õcz¥óp~²8lÜ»)_Jز û¯/R7-Yh Ç‘ šFÑB\‚GHà^“Ýlz¤Ú½ØZ {~úd¼ìd¦Tìýúpv y½¨æQÞÁ™+ÎœùýOú-Qׄë!óICÛÚbÐ(mpцK„õ-O Â4 Ínkƒ¤Î˜±ÏSLØu~T¥@;³ýïïæZ׺µ?¤CùÞQ ­M:j¯Ó½41Æ5"ôÍÌÚCµ ã´z½üìS<À(̇ÀߺE¤ÊË>qY2‚ùxYºß´2ÊIŽÐâ¥E„âcæ—74ïÂwÈ+qà¢n§‘±F±êeæ<Ùï[7FÀ{«ŽüÎâ>ѪÉJÙƒÌs=ÿâTƒÁõ[ɹàB¾pa!Wöƒõ>Fç×…rlÞñì0"܉Š¿ð½…ì–/>*mß›bí²N¼îÚ§4y¯zNã«o­Ý½=Ç4oðßsšV"½\èeB©6Óâ8þîÈG©:·lÀ.¨@{;v«YËaˆ.ŽeLG˸VÓZ“¤Ó¡È=ÿbŒ!²ûÏêgŠ,È‚úyÀ–às6èJ·ç¢z>0 ‹YZggplot2/data/midwest.rda0000644000175100001440000016746112114160774014745 0ustar hornikusers‹ìýTTM·6VC“EAQTDEDA@EE”]$ÉÝ„ÆŒ9‹ T0€‚(*ÁˆŠ Å,"A$($H–¬$ A̳Ý~Þ¹÷ŸÍZ³fÍÜw­ývŸTµëÙÏ~j×i<‡cÊ›(Í“&„ˆ‘¾h¢ø•-‚ÿc¡I¡I¬[µÔsÙæ-„ˆÀÍah²x4¯ÐE›ˆ6 m2šÚ´©hÓÐôѦ£ Í@›‰fˆhÍÍÍÍÍ mš9šš%Úl4+4k44[4;4{44ÍÍ Í͇æŠ6m.Ú<´ùh Т-BsC[Œ¶m)Ú2´åh+ÐV¢­B[¶m-Ú:´õhÐÜÑ6¢mBÛŒ†øˆlEó@óDÛ†¶mšš7ÚN´]h»Ñö ù ù¢íEÛ‡æ‡æ¶-íÚA´@´Ch‡ÑŽ ¡£… …¢E;†víÚI´Shah§ÑΠE G;‡víÚE´Khh—Ñ® E¢]E»†víÚM´[h·Ñî E¡ÝE‹F»‡ƒ‹Æp"í>ZÚ´D´$´d´´‡hÐRÑÒÐÒÑ2Ð2ѲвÑrÐrÑ£å¡å£ ¢=A+B+F+A+E+C+G«@{ŠV‰V…VVƒV‹V‡Vö í9ZZ#ZZ3Z Ú ´—h­hmhíh¯Ð^£½A{‹Ööí=Ú´˜.ˆ qa#.lÄ…¸°6âÂF\؈ qa#.lÄ…¸°6âÂF\؈ qa#.lÄ…¸°6âÂF\؈ qa#.lÄ…¸°6âÂF\؈ qa#.lÄ…¸°6âÂF\؈ qa#.lÄ…¸°6âÂF\؈ qa#.lÄ…¸°6âÂF\؈ qa#.lÄ…¸°6âÂF\؈ qa#.lÄ…¸°\>¡}FëDëBû‚ÖöíÚw´h?Ñ~¡ýFµAß$Ð7 ôM}“@ß$Ð7 ôM}“@ß$Ð7 ôM}“@ß$Ð7 ôM}“@ß$Ð7 ôM}“@ß$Ð7 ôM}“@ß$Ð7 ôM}“@ß$Ð7 ôM}“@ß$Ð7 ôM}“@ß$Ð7 ôM¥OeQåQuR’&†&Ž&†'H¢dJ¢œJÊ õAC­”ì‹ÖMM­?j©¤Ú@´AhŠhƒÑ†  ESBC­•TFŽ6m$š Ú(´ÑhªhcÐÔÐÔÑÆ¢i C¦‰¦…6MM‡ÌqÌqÌqÌqÌqÌqÌqÌqä² rY¹,ƒ\–A.Ë —eË2Èeä² rY¹,ƒ\–A.Ë —eË2Èeä² rY¹,ƒ\–A.Ë —eË2Èeä² rY¹,ƒ\–A.Ë —eË2Èeä² rY¹,ƒ\–A.Ë —eË2Èeä² rY¹,ƒ\–A¾È _d/2Èä‹ òEù"ƒ|‘A¾È _d/2Èä‹ òEù"ƒ|‘A¾È _d/2È"ÇŸÛz¦>1#S#®`CÊÈÚŒgdkjÆì`ÛÙš Ï4¶³³5ëÝàØ¹Ø 6Ä8fFNÂÉÔÄÈÚÂÎÉöÏ&‡cgm-lÑĈÛÛ‰…‘½‘¥¹íŸK®£¥‘p‡˜‰µǪ÷Rk#×ÞV­-míþœggmÆí=ÏÎNx¤ ÇÈe–G8i'c3ŽµQï°$LÍFZYÿµébéèØ»içdnmÄíÝtiodÞ‹‚™©¹‘+ 3S#ŽiïàÌfͲ´5Ç Ï2r5st^ËþË+ÉY#[+‘ÐYNÖ'indmmäøç¨9Ç̬7¸ådk*ÄEû³üëZ #[;!âèaoCRfL¬¹`Ĝަ,9vNv–½cŸmdbõç\ñÙF\û^¢HÍÆáþÝ”ølÜ2¶%=Ûn¤©‘³¥÷Okv¶Ng[õŽH¿[Y™ ·%¬ÐM£? ²²µã ¿[ãyÂˬFrñ´¿¶]8f¶&ÂmQëÞ¥­-16Ü¿dmgÞË:)S;[ ¼…Г¿‘·1±6ûÃQ#“?±b6œì{!–°12µü #Žåß's¸F†-ýÇ©\®‘Iï–™­Q/_p‹cÒ‹½¸-Ç®wl¸åhn‡güq׎ógp’6vH.Že/íÌ{!·7³ãX ÝÁðö6"foiÔ›l{Ë^ØÙövö½‘²wÂ\±²ìmÎÉѶ—ÿ’ÈqS;k{‹ÞmK‹¿Q†ƒ<iÉýk—$×q$&½eïH1¾–xÂ5²57²ù'×ÄÂÉÕº1®‰]¯Ëâ\ 3kãÞÑpÿèŠ4×ÑÌãû{IG£9f.fãdû'jRÎf̱?;Ä]ŒŒ¸¶8H;aÛ.x©öÓ\Œ\ÿȨ‹…e¯"Hõlp-M{¡u±ìuAšùn‰RýÇ—Uë×/[ì¶bƒÐk;;Ó¿Tå?¤]ŒÉ á¥2ÆFG ;kd‰‹Ðmc³¿ôTÊØ“ýï¶þ[ñÿôýÿUõþW¤%þS*$MÍŒ8ÆvœÞMÍLŒ86ÿp<߈ÓËiS'ã¿DÌÌÚ 5°WÞÿS“ÅfYÛ¹þeœÄzSùiqsKã¿„ÔÏí¥ÞèõÿA¡ñ0‡ó—bôh4fŠU/¨ÿ¡Dv.dAÚþ²ýš-:»7 ÿE¾%g›ÙÚ2ÙÛÐ?rýGƒ¥¬ì¸&–N\+;áµÖFÌð{gÉEÚÞŽãø߉ôÿ•^2GÿL‹b6˜½Òó¥‰â¶f.e¨­±õy´°LÜî?†eçÒ›PböHô^ý­›K¥xÏÈ{åÉÞîÏù¥œâK{ëÞKÙ§^ñ‘BÁœÍöžú?h RÁö¯Y¤G{〚èdlöGZP}œ{“áb4ç?ê(iGK{{LLÛ^ÔÅqÏ_¨þ­¡2Î=U&Ö½s¬4_VÿÒU¶³¥y/ôÿƒÆJ0[–½ô”\ÔõÞdú[%˜?¸ŠYã¼Þ;Y›÷b%Áˆé_ô1²F(z·lqzµéÝBGÿLã(¼Fæ½mâV/QD{³‘Ñâ9½´Ö«8]ÿ)¶‘ &½•ÉÛ«¯4V×k3g;ËÞLÅ*ÆØÎõ¯ZÀÄ‚ šK¯CŒ`÷öû?‹´ꬣðB)SÄßò/33ú 3³^É5G-äþ)î°º6uùS/™Û™›[ ñêˉéHGŽ‘3SNöžÄÁrØNØ¢”Ò†‹â‰ej·¿ú·pâü‘”ÿ(ÊÅn KT2!ãØ–®‘´ä#m„'þ#«R8ýÙͱëU@Üa…é,<Ÿ¬cï1¬,‰÷ou·6²7ëe™$¬˜`VÖÌeÿC˶vêR¦ňüU@bajcüç¨-.´zÛ’B%upú{&ü»•°13±ãþ 6Ö¢v6X‡ýmKÓ¿”@ÊÆ+W§?üŠ±$#ÆH[ad˜m”c#×ÞSp:13ÿã곑k¯HØYýÕŸ¸ Vã½é‡²éEWÊŽ¡°Ñ_MaˆÍì¬ÿœ7ý³åÈ5û£9¨œF½¹ÑÇžcÆEŒ˜ µ6s¹ÍŸT‚kdnù'¶ÿÖ¯ÿEžñ|[KëÞ É`kgg™6KHiÔ2t‚ûWÆ8:a§½#B)É,ÀÿÔ…¨Ž1ì?äOÂÅŒ÷ÿR(­üT¦Q#c§?È925³p¤FÌ2ÙrÎ_¢eÍÄUØò?· ÿTéÿÔÿåžÀ‘’¸ðâüÕî?%¸àúÞò¤¸v&ÿ½ŒIš8¹YØýÑdÓ¿fA¬%gac&mÿGmÉ6û³Ž’š…qžeifÝ[Åþgmù*˜ò¾wË ñü³õõ£¹“ÇöOåðµâÿ·ºüÏ¿…¥ùß!—@àPBÌ{[²³¶1ûS†þ¥©ÿêá¿Õäÿ°dÿÏêÏÚòïÿcQ.nÕןb¥îÏ]™ÿ,QÜ,ìlÿrü?ŠH\;#½á¶1³ì-rÿsYýÿN=‰[Hx!Œš¡;N½“Îß檌¤½‘“µé_ü]KJÚ#–‰²rÓÝ‘™g!týÉÃvÏ àzóßéÞýg®4s¿<©†SG·$¯Þõ nßÓêëÌW|ÄU뵕à\‚Ãk¿á pVÐn¸à¸p¿ðüÓ‚þíh4¿£àLs_k¡§×¥s LЯðø%?B…íG ü¶/¼N8¾£‚v/¼Xdt`ªuo¿Âó®É-¶)ýp|í û¿1¬§ˆVkßVþósoÿÂñÛž‘éÝáM¯¿Âó"¬AûÇ÷â)ÄIè´W!þ‘ìÁŒËÕã&¯·ß‹‚ó„ÛÂë„ý ãtUz¦{D¥tï~¡B…ø ýùw—~Š7»˜ß»ÿ¸À_a»Â8ý‹ãõAÌf÷ŽÃ_ð¹ïŸø ÇYp\¸_ˆ»°ý#‚¸FþÃO¡B|…|Æ=@°-ÂýÂÏ`Âv…8]ü‡ÇÂþ„ŸÂñðZˆë‰òWÈḄãüwÜÂvÿõOØοû…xlÄIØžðSØŸÐaÿËsávø?:ö/ÞBüüÿ‰ÿ¿üŽCØÿAA{ÂqñòKx\¸_ØÞ¿qþ7>ÂóŽÿ£ÓÂq y-Ì?a> ã*Œ›ðú›…ÇÿÕs!¯Âÿ›ùAˆó5_1‚<¶÷ïgôõï­kMáªPoÿ™.}è9¡×O¡>öæ±Àáuwû…yÿoÂó£:*Ü/ÔçuEØŽpüBýø'ÎÂë…íÝÛ™4Oîè÷Û•½¼æG²à¸GáuwÇ{óé¿Ñ9ᶰ]a|…ýþ«sÿÆAxý¿ýÛž'Œãåæ¿[‚~c&õü×ÛŽð|aÜ„ü»øÞÂíóXxþ¿ü¶öŸ:Ax\ÈÓÿn[x½°ÿuçÒ?u‚‡þ©w„í ÛùW?þáö¿ãîû‡¯ÿ¶ó/ÿê«P?„~ã%‡ÐÿãÿÔ)ÿž ?ÿ;œ…í ÏÆïßyå_ú}ú]ž'ô÷ßù¼„¼ýïðòð_=ûwÜB¿„yýo»Âvþ§P/oŽ*f®€x&ºr‹{ã.Œƒð¸°t!t„{Þ]ý§Þ¼Ç?¡·}a„y,¬‡„þžû§žê P_ÿÇ…ý ëdáùÂþ…û…ñêŸÐ!B?„ãæQ‚àúXNB¾ù'¬ÿ„ãößîÁG{Ûž'ÌÃõµwžèP¯N Îê™ð|!>B]MY¯¸ÝÖŠ#{Ü«ëÂ~îü£«ÿÖ—Â~…uu/ÿ„¸òÛ!ÂèÎGˆ†/!ÓƒÙæLÈ BW¢GˆÑB&ï$"„øo"ÄP—iÞ„ì;EÈãdbóâ&!Ö’xýÂÒYKÝ׳-óv1~¢,GˆW!á„LÍ $|7!ÇR ú“ƒ Bv9¢2‰îNìόɩD?LéÀë56|–{Bœf¢É%쪄åù›°NBê,‰D£1a]¼ˆ¾-Ey¸ß¯·%äÀ-"’ÿ˜°ºÏÖ㧄$-©JH7ö«ŠøOùDÈqQÄCg¹²„åŒûù ß¿QK$d ^w2†yóqü?«l !A’Dd±!ËÎòý!fÁŒ¡%ÆÐû:a©< Ä#°®ØoI',õ,B’eË ‰ƒ8Þ£8^·=„8">[–aûëp,ˆÓäÊo\÷oC$Œ°KÓ ¹êHX¿Ö‘>­„\Î&d,ú¬‚íßÃø ?jÜ‘Sï°MÄG9aÞŽ8à93&".„èÔÖÄ|ž§‹}{àV#ž‹Æ2«„ˆfáwŒøfÇ(Bxµ8î)x-rsøtìÇjø…%JDö¥#‡ýëœ!ȹï ‰Ú†þ_!¬!ý°y„ÌA ×"®êÈ¡Ñ}Ë 1ôD3—Âqñšþ„d ¬XôCûñ@,. '"CiÈYnrg?ÆØ ÛnRÂóZp|ˆõÊ"ÂZ]„û‹‰xúà„ÏB ¾Ërj!ׯ"¾èÛ~¶™FÈ3Ì rÄ“ŠEDÄâ]‰ñœü€HDœ$DóQe?a©b^Ñ ÂZ†Xg¤ ßöb®Ü#Ò‘ÿ\yÂR@ì— ŸB·n<Œ'×ÞLD¤)ÂÜÕFDÖI Ÿ¦¹€\ä~Ç¡f<$¬]xž!æ½5æÛ*ŒËô1„•Ž:‡ú«ƒÜè7‘ô@Ý B=0w¼Õg„5 1QÂ|ßy¸có®±|ODn¢n™n$"#»0ß·™V„ÜÇs§¢Î„`ÛÇQ‹,ñüÅÈÃ¥˜7fã‘ÿÈ1=ômË"ÂŽÄócb…x«Ž$¬~Â{‘ôhmUøEmº?!¡~Vf%{‚céYûmÛgVï¦[LŽL»Ú:úÛ*0³6ÝüþÃ?ºw³ñ‚°v+ê³›ÝU[7%åÐzàLÑŒ˜[éžã=s-Ý3z]üÅ6ejÙÁ‹Ð6£§_Ô?K B;wªñ°ºéÛîÀ“tÏ-~;Ä¢4¤“̨¿û½A¾_Mi€cO±@›®êiÏGdcop6Ýs†ßnH´jˆF@0Ýy{˼_ÏNÑ)NŽßk*iؤžÉú7y¨ëk¼¥‰C?«ßDwŠ¬=ýKù=ºžßïV˜ÇTÔ{Í«)ç‹ ©/›ß¾áûÄ{ÿÑëÞoê0<ÄïI#=í3­%Á«žzÔÏÌ+™-MCö›ã}¡müó÷z]›~¢<ƒú$à…4Ë-ÂþîGoa¡¾¸o[ ½¨4­yåû}ôØ· YÕãi)ó ¼îTÿzÿ»üÏ€_¾_óæVÓ½Eƒ³íj¥éÁdþþà‰sæž[@cš$†ìçMÃï”–N~}šÞÐðæ™+J`E3s#»tÞ²Èù5 =\>ÌwP6õÙ¢é·[g1ÝU,hÇ£výSOwº×-g÷S8ݳpo#Y´ñøülוnºM\ÿ7kŠhˆAڻͩét_â;ß®¥A¯Fnô?Eïåϸøt1=l›5ÎhÝ»£Çšu÷ÇŽ¨¡+«µ¾N ¢~ ù|òàsDlØƧâºtÿžùŠ¾eûh죪³«Ò7­{ð ­Ý²@ƶ?½ÉÝ ]M7‰óqóÜgjþ0î>×öàgŠÝ&våŠÇ¬;ôDª÷ðí+òéµ­Ë-©ÿ~?§ýøŸ!ý·F ¥¾ï½~íI½]ÒÞ}íÞM·_ã÷)Ì—¬îHO¼{Ò'<|2Mze4ol½$ÍÇ1Õsªç\ÔL{Î?9Š[òuKR7.ÓÈ3üv¶àÿÆû©ŠŠž~÷]“ÇÝú˜¼©m§¦7 wó༗4j|¢¶ØU)ê_+[¥CKçöäƒÏ”iÍ·ú,¡Áü¼<ÿ.Oižw5 ÎWœ°ã0 xñståß3–èCO°  š?Ƈ ۻ͘^xWá”5a3Mú,à3œÎ zðô[–B=$¥ª×¼ÕÍ—j?ü„^SMí9ïPÁIQÑTÄ¿îò›áÊWïÆÒà;üíkWøçwáû“t—Ï[ù©WýÓÕéÑÈ=ûýß¿ß.“K Œ`©¬¤'ÆŸÛ¾"ï 9ÍÇ-fø‡ì’F)zl(çx{c4=ßÈo÷Ø;~ÜŸt…ôûºÉœ^1lÓ¼™ôT^ÿ®6Ù4æbÒ€‡£^Ò†7‹™Õ s=P]fv˜îªÓÉ°HO‰íéi':™ß^È;Ïm.1ôÒdAœ¯ð?OÞêYP¦df¶ˆª,ùùtÝ¿#—÷{ëIêSñVê\ßÍ4PUÏ|‹YÀ׋àé=kºk)Ÿ÷ÁN|Ý ¶?Xó “Éά>hÀÅ”©»”‚hšÁåÐ1ºýix ?~§gòyq`?ŸBc+k¶£ÇÖðuÓï;_o}êÂW?ßD£Y¦¦Þ:e4È‹?>¿>¿r o3K†»ñym6’?¾R~þnsâëà¹}šþb+GЀ؀€8³\zuÍ«ÓKÓ£¶ÛÛ çÒ€ÞžîY›Ñõ}¼û™)Òe?wî2Û3“ž­Û¹$`ÙqzHEKË´î:õulÕ¿«ÚEý§ñ¯[¼ÊËèQÊz’ÕOnô’{ôîc©ª½‰“é^9þñ˜¡†ýp`ôļUùßÑëVN=ü Ëìèè7#–ÙÅç‰WÝ›ì1Ô+ÑèòŽsšÔÿ]¿~ƒ>O£§Ã22ïž £V­ºµú ›=™$¦¾Ós}Z6Ò+.Û<;lÕé¡ïüù(û(.ÞvSÿþÇ®ð^í¤î'÷ï·X`H/$×ׯg§ÒЭü8íÜæC}=F²}îFýªzŸ4U7##¶k==96öðôVzèÌÒªŸóè ÿÚõöCÆòõ÷¦Þ2=ZH7I¤¥\éO·óÇ›qÄ®'ßœLx^µß¢2½=÷оʴXœÌsçîÛo½zåʃŇ霉R¶ó玡ËÃ-ÓÓ¢åhµØÜõ¢3é¾L~|÷^ÓWÉ*žî»{ØêöN2FK+_a9e–£Ìñ¹¸Û'"/POŒºÐmh<§ƒM™ñ±èxusF]$‚ÆkuÕÆ…×Ñý+·m»1–Í\#»Ï†E÷/IJjÛöúòû›·¨´ßø7Ôwߌs‹éºØùƒ¥dŒ¨ïP¹}n_ßÓxý÷^uïuè–Í|½÷Õâó#Þh:©Oo¹»öäÍùþ¼ïoÁ÷sî­…!‹úM¦Ïæ¬r]DCåøù~B¶"8õ6MüÜ*nûä4}»5ÅècÿJ0}Îœ8ÔÿêÀÓ’ht=ŸçáÑü<‹sÐTœJÏ‹òëŠpq~{Û×ÌÕ²¡ôè^~}éø½ÏS¾~¿ÂÏŸÑ 'å•94>xmO~ŸìËϳ›–‡_ŒË¥ÁæM<;kzÁøLY†ÛúÊoÔÖ®Ÿ£èI3¾ÞNÚá~䙘;æÎˉ4ní”|o>Ÿ™¯°¬†4òÏ« _Â\NOõ»ƒ…” =ÍŸ×n¬äëUÜüž{ôh_>N ¯G÷Ì?ö©Hf|j !óÖÅ+Ý]D÷)ñyªkÎ4Dƒ×XYmÊBƒÏóý>¶/s¿LÃgóû=z‡?ÿÝÚ[²Åð„!=õ )±NʇëL«*³^:æ¡îmV@¯÷ã÷{Ê{ÌÛbÎQšn|B~k*­ØcÍÜÓ¡Ç¢øýgÊ»~T¦ç‡q=:3œŸ7‡’øýžáÏgwœøÇ}/ðu²Ëo÷¸;_¿ÂFñý;<Æ`ÀÙc_è½`~ÜÂú Ú›v÷ŠÒ»?Ïô;‹:»†Ï£Ëã÷èÍÅe#€žµà×gû/gþ£YÊ×Wnº«BË?ï¸9e‡MUº=¸t!àðuåèÛLå’KôhGï—|Šáñçß°0ÙíÅ‘ôš˜Zžhf4=9¸ç½ú*RÖlq#=ôï·g+¿¾Øô‹-ìô£þv™—~¼»A›NœXÈñ wMÜeÓB½Ýø#m?]4VQ®F1ÝhîéYü¡“ž3¾ÐnÛ|”zçMñ슎 ¬ìùqÚÍçéMÕÐíÚ¨—zî•@XJ=7¨Ê~:€î./ßï᳂^Ü̯WŽNˆXî°.šîàä-àà u~ýðN¿ÓéÌLIê7‰_?îöæ׃^Mo¿N=ÒLoßu* {1½÷…×݉–ªkÞ G”W­ºpû Ý›ÖÒ¿¨_8=ús`OWþøÓ«ù딡üñ^ÿÄŸŸ6Ž:GsÍ5iH¿¾?<þr÷IU ÄŸúíI¹¸|P½>?Þ-§9žL}ç)¯IyH÷Üæçã¦õϦòæÑKvüíSùë’Ûyü|Oó:gVøf,2JÅxC+Öá®'/[L£8–ªÕ‹éÉÎT¾§Â‡n~½kÄ#„L;LÈ&ÌœxàÚWᶎkúÉDdÆl\ãb3›ð<\Ob­–É":­\\âTc/a)ã:œŠâ¶=‘n õ*¶?¬×¢£qm‹kK\—ïÃ55®E‡âúÓzÞÛQAââZr@6!#pý™kÜ­y„ä+b»¶„Œ%Ä×èŽ-„¨w¶ò\ËãZü®› RˆxÃj\¯îDß‚Ð/\ûÁµó&uBö4‘Ä"ªj$¬ =\ß¾ ¢{- 9ýœÝb\Ëc!§÷×üó 1A¿q-¼•ëd®ï±ˆ‰ZHDæ ŸXèÍ8†ë幸ÎÆEÇ,ô¾Çqiâx§©ÉD¤¾†%k‰È6\_+O%d¶‡…îE„Ü~CXÏQ M.Ö䵄LÄßÇ:ñ2îÄ6§çÚ„}û¬5'¢Kq=¾ qò4&l \|@ T1FSNr4?1>–˜lGýËh#! +Ï4BÔ²Çsñš‹þ¤Ö=ŒÙ‘M?÷\¾Ã¶Í 16xŽ…!Ûo–$ÆÈc,a]ìCÈÝ­„l~LX£û΄¥†Em@&!!× Y„±æ²ã7wa9Ü'äT!ߦã¾"6Ä‹°¶ '$Û*‹'R‹1¾—°è뀘6Vb±/†jlg²7!¡Èsä—ùÄñ1@ÿ,1¦:q„õv;úû¹ç¾$Ù„~­BÎ-D®š½%¢vXð8l"ä ×â‚8¯–Æk« Þ°ê 1Ķ”D‰ˆ-òÔh"aíYCˆÿ9äW!·>2Ï’°$ðûRÜ7Ç…5è£ú8BF¾$,ÆØã2ö…Xé¯Àv IHX—› ™àBD$ GlŠJ#J„p/ÈÛõƒE®„Ô£_†TFÈŠË„å„x-˜NÄFË ‡"0ž]ã1~ˆÝÕ«èòk¿ =‡xG,Õ#ÈõüÏDDÞˆŠNB¼¤ˆx6rVÇ>ì:æöcˆ>8`’p Ñ÷Q߉ôqä‡ÃfÂ’ÂE—æD rma0a ÇIcÂ;ÂúŠ9ž‹ó¨p""ÃÜ/:Aúažsj‘ú¸!6xíp™%IÁýz'ëÃDÄ QÇñ¡6„aM7ÜŠ°úàXÊ0¿»*ˆè™å¤ÿ.ÄkY!‹½ Ë3šø„µùU»qG>öCîúß'l]Ä~9jÎþƒˆç"b¼÷_%¬ó>È7ÌÅ,Ò/²ñ°B½XLÈÏmxí[Â:ô 1m$2¸/ÛݲŸ°¦ÊV öu|‘6Åv»1²P” Y§ía^-Þ€ÚNÈSÌ»-9ÈkGü":©’We„Õ†1ºID£±‚ïÈS<Æð­C°žâxxO뵄åvµÀ†Hô„1)GÞ$–®!šÈáS˜;6£ȹ(äë¼ßDDcyùâs›°Òü ùŽ³D3æœú×àKÈMY"¦UOÄKâ‰èÔfÂ2@ß«-8Žñ@XQÈ—ÌǽÈÁ#} ëÆÔsÔÔW}äy8j‚n©Bÿ'#uÐö!÷óÛ…¨=8†™QDÌXsÛ\‚1?‡c؈Ú•/%¬9 ü{Ï›­˜o楨×ÈEÄwf6a±±-®a•Å³%,wÄÒðæêáJaM:HXñ3Ñ!Úx.ë‘îžEÈ!Ôã-/Ñ€š­øs ¹ºk=Ƶó•)béID8Xˆ™ŠÖ¯O8¦„¤cÞÅ¡6M@í=CXˆ­¥'Æ þ%˜+†Ÿ kŽCOž°6²û0jÛ=ÌÙ'ˆÈ ÂRÿgnį¨×,ÔOÂ<$¹J&þ³¨™'¹a.Ð(üdþE,óÌjÔQÄR4œ( ÁÜ&˜ËDŒÿPU2„þŒåøÉü«TÄ‘ô!=‡&èA­cŠL0™{¡„¹†yø5âL˜^‹zÏ<`™ ¶ Îæû :OñÏgÂ1 6OcúdPŠíg¸‹9ANòØ+‰¼“á?<—5»À\Šó ñl_ìž+ÏïK”ñ“ùKÑá|›y5A< Î;ÌC§Y8_Ë3>27s ¸€8±p¬sHkƒ±^Ïu¬Ìë18w“u8Ï!"'Pg‰5?þlÌæAæ~26?v†s=ýzðcÊð…qd1ܹT”9oŸWsgÁ.þwfü=>1ã‹úOúñMz©`| ˜ë;øû‡ Æ€qamÆOœ»û– Îcâ…:H˜þ*0þÌMÊÑüszŽc­EVòÞÌŒß ãÇò+ê·l.úÆ<k7QÌ!NaÉ`¬¥Ñ—3ˆ‘4^/Êä ÎL>‹ê‰!ëðÒó}&Oeñ±`IñûeðcŠÌÂ9¨Ÿ1ßFßÔP3å‘{âÈ)œ“ØÌÃãÑ7<÷öe€s#ó{6Ž•¤ñc!…Û¢˜ûâù\ê9†¼fy x7–Ï]ÑÏüø3<êáòÁ'ã/j¹ò“í!ØwY¨vðû`±9h-àü@AlYü8’~{ Ì€kV<‹bµÁäÖZ=Éô‹ÃøÎÄû°€S NX°ÞxÅôs‘ß1bÀhÄÁõš|÷\‹óëŽàº>“âëCÏ\ƒ1d[ü7óð{2‡ôÎmd± ç˜|ž ðÛHàëpþ'‹yJÄ$~Œz0ÕAÃ…çX]—íõâçÓ–h:‡ž6´1`ÚeV·Œ>Kó1ï9&CzçÄì™y‹™× ŽMl+ðûg^x@˜5MC®2¸g°ëÁ…ÁÚPàŽÅ\—†5Y@z^Ðã3.%ÁyLŸŒî0­+ƒÎǬi‚1Ë ÆÓO0& þL¬™50¾ Y£øØ÷à¡$8—‰m½§+‚1)ü!ðÁIƒî¤ç¥ =mc\Eqž!n‚þ5qÓøÇhu*áÏÂØ Œƒ‰'Î'¬þü±²²ýÌ`-Ђu%kœà;ÎÍÄ@à/ƒ£?¸N'§ùc#Ì ù‘‚ãŒßŒŸÌH<ø׉ºñ5›ðø¸‹35€?îÌ‹63g3õ£9êH ¸1?Þžö™±~âûÖ“g6‚¸hòñµŒÁD0&æF3´‰×²¨_<—5Œß&KCà›¼ _f˜ o†‡Lü0Ö,Œ½36ÔMRÆ£(õdÒóò–?ï3ñd^$ÁB-gíàë{_&w/àw¦o¬ÏD™¸ìçkû> ~›øs¶ÃË`´ ¨ Ç<Á5ÁšKkæ…¢_ù×Iãú¹gîÁ5& s„…ë>–6žeòSç2iF×Q‹D£ø>³PXX °Ì°`5¢í!=câØ01ù„kYÂh4“s[œb^6ÂÔŒ¯¸Žeæ‰v'°oFÏQ¿Xè;ór6Î#ÜñØ=Alòqcü¾*ÀÙ=Sgöh òÅĹFÀ½;ŽàõR̼ºÍžôÔ=9ŸÆo‡y¡AOžÛñãÉb´× ÌK-Þ÷ð•É=Al™?¼bò×I°ïª ÆÌMPf.ÇõÃkæ¥ìCü~YÌÛ8ÿôÌš‚k™:sŒ­!à3¾§|®õä “· —™¹¹ÏRôÇ\ÿœôÔŒ±˜˜Ïá_/ÏoÅ´PàÃA94œ÷{ê7_A»L3üBMcô½„ÿâŒ~ÊüñŠ0ÇBX18üeææJ~lD™œÁš˜Åð»/?7D™9ÃZ0&ëæ%,ä.®XLþbŒYŽ‚ã8aX¯}âxd‘J8±m/ç[B°n꙯]ebÏÔݘÛ"Œ^¢±˜:™÷¶ã÷‘cœ¿Å1,ä^Onã>¦†ûEø52Së“žÆ0x0ñï©É‘ã½s“;:,ÿ˜ù?C/\k2sìF_]ùm÷Ì+{b!Òp\p-â'Î`ÇäbuºTÀ¥|{æMFG\V¾¾3:³Q€Ó¾?=sÞÒ£™’¾‚s|ãRæÇBÇļp‡4ðuLy#"#h‡Ï^Ò£¢ˆ—¶)Îh-ÃaücxËü1£mjõøÇpÊXÀ#Y>/$N€À_ÆáúI¸†Ï׉JþøÄÜç0:ªÄ÷‰ÑKÃä8ë;áçê,>f=œgúÆz½?ò‡Ys1/ô`´™K¤/æ%G=5Ÿ~0ío¬ÿ„qΙVÌp¼ÌKŠ˜¼î©¿™y(Jà—’ –L-C®±™þïò÷³˜¸¡²1Œ‘"ˆŸ‰€S˜"Œv`®°ÌpΔF³˜ömøµ·2“Ç'øb¬¤™|frw®€̸¤që/ßH>gD?F ÆsZÀ5>&RL­Âè$£gLM‚ø’}?ý+øþ1íŠçÇšÍä¡—àœp~,f<#ˆS«0~; |Tã·ÉÌC¬[üX‰1k ³Ø&»G‚ëîœâǘä¾>0kèÕü{ ö2Î ‡òõ güî‚ø⸔lpÍÆ’åãÀÂ5óÒ¨>‹HOd ¸ÅÔ­Œ¯Z‚usƒ`?Æ4ãê«ÈP’øm3k’­2Œ_Z0¿âüµ¸ŸÏ|˜ýŒ ÎH1kŽáüþ™—ÿ°jùó%ažâÈøÉè5SWV£;¸ÖqDŸíb®a^Æbê ä¬ÃÛh/ñ˜4ƒ “Ïùc쩽˜ñ×ò1![0E˜:9Þ£u>üuSG0¹aÅÜË`bÀ¯?%™xa;£±ög1÷}6 ƲPàëÁ¸ªóï¿0'v•3.ò·1v¶ò1Å1±˜µÀ-1ט1k‡A¿øŸ=ü8%àñÁyý"/ØLûFìý2¼ej†Wüµ¥êÇÔfÑBA¼.3µæ8ór2¬™uÎ l¶ =¦æž èy*U#À“áìmA}¥ÆLJ9W…9Î`¬Í÷y¹™$3—1ë¶TÂÏQf~2æs¢‡ "üX±Fðýa^@Æð@zàø þ~6¶)ÅÌŒN2yŒÿ zê6U~ÿî‚õƒÓ->ßD™sQ‡Dßð}eðî‰7SOØ â‡:ɼ„©G'…õ/S3k<Ì}ÖJÒL=_q óR±Þ¹Í[Ð'j ›Á’É“z¾=s³&ž!ˆÛߺ¾ŽˆÕy Æ)οOÙƒ-ÖLþK ÚRðKxÏr S&zj6¾/=†|a9óçjÖ#ÁõS82ùŠ8Ï Æ¾g¢Ø7óâ4ó²0¦?f­Îbîÿ1uÎqR8—1/Eë©Á™ú„‰¡¾Àg9‚{.=¶X€-òJTŒy\-?ž=¹ÞW`Ì5Œ>òÛ‘Åñ²ò·ß{ÆCømôÌILÞ1µÎ{¢  V Æ&dz֌êLÍ‚º ËàÈèÖMæˆøý¦ÃAîâïùþVàÓuAŸrN0û–ðkjF'ÙùýôÌ«CXOâ·Ë¼À¯Gs.Zñ1™µ33è~Él[ 0aò9ÇbjKÌU³.øÅoŸ…xôÙ*¸wÂÔØ'£Óm1:/ÀJ’ôÞ»îñ[D°îgp&À™©éåù±’bâ9Qpœ9ŸÑáZ•¹VNгV~û=ó¯‹ &ÂûQ|Œz°TÄUŠy +ásqë©ËßRñCP‡°ÜPŸØ³÷¡Ôù~õè ÆFDx¿n ÿ|QÁ}aÙÒ[Ÿ1õAÏZ?˜ðu 5w³djŽM|?˜ºWù+±‡]Ïß4‹ðýdîWöÜûbt¸þ~âÌõÌ>¬ç Ss‡ò}é¹ÿ‰:%*/à(b$Ž×0/xü÷ïðF”ôÞŸgðîwU06Ô!åiÌC@ñ;óûÅ~®¨,ìGLÿB:FòÛbá6“s=u5Óƒ«ªàsß‘Éýcß x·JÐ7b3ƒ®“Ä™µbÀbîïæsA9Áv`Œ1býà_/Žº.º‘7ƒ“èþX{âÉÔ-WÉ BüXŽ1ë=\“(âúU™ÑDæ¾$ƒe¢ F 7™v·ñ1û»vgÖºÌ=d[Á¼Ï´ï+ˆU6?v"̘\ì'¦u`nÜ‘žš‡™gD™µø7™ñˆóÛ$ë _ÿPcX8÷‹3ãeòa'?>=÷R$÷G%ø¼é».<=:(ÏaKW°ø~ôÌÉâ‚5ƒ¹ îêÉ ÁoOLžôüV…ki©_‚ó >Çñ÷ÌÇ 7µícÞñeÚe´ u‹ÅhÅbòç>ëV~?ò3øý2ZÞ³ŸÑ†…lGâþ=‚qÉòyÈ\öŒ×ñŒn1ë¬cYL]ÀÔ¦Ìz4Žò´BÝÆ¥ö§Â$û¦PžjÐã‹çGQ—bS—³ÔùP ˽,ʻͽ¸"“òšGï.XùòŽ*ì\æ¿Žò^¦®ùAÆ+•+ãþ2ÒÿùÓã”×Àüéá<žu4@â"å Ð~p"h4åÍžt²ž|¡vKžˆjE¿¢¼¼j6#ð<=«(ê²Ò%Xªð9å=ôéåeì¾x¡h0u®_ø’s—òžV¥œ©t£¼g›Ã•&Ì¡¼Zó!§Å(O)oÔ·Q”—?øÚºŸ(¯j¬[Ìv ¼j %ëÌ(/íÝù…·¦Q^\{N” å]Zœ{ÿ˜3嵌¶ñôLyi§’U%)oɼ[ö.¢¼’y +×–PÞ¯yè¿÷ªm«ÎiP'‹"±/ÁÙ”÷ª)Gz u9ÐìëïŽ~ÖÍÙÜ^Oy/^YzO—:øŸ5::ÍðìëèFˇnxûä å)GÌû1Ç•ºÌ°ïç¹Ö‚:•¨\!í”göiXúå”w#2x”ÊQêrež©ßêB5Ϭڹ‰º$Ħ4ÙR—}w]Ky+õVU'¬§.ë‚æ¦ï¦Nrj”¥»Tmè,ê¢Zçub;u©6Qzæ[…ã?0ýy Žÿç [ÞS—¥ ó ÏoCüšÌ?ÅžB¼%V¬èÀëKÏÿ~1–òê-N˜û“º¤hˆN¸ã­¿´É_›òÖ}?Ë6Œ: áˆV•bœW˜,vZx‡òÞ¼‰ñl[é_ªH]Ìwøß©MíªÖ^;ŸCy{n-[‚¸ä/šÈ^(ÍÄgzô­xê¼®ˆ§ÙšJžM­vauù¢hñ¡Ñ•:Ç{µ©y÷.×üäúY”÷ùú`uÉ”÷úÄú5ˆSMΞ\yoê2NéÕ­èË”÷xßx‰×û)/¸ê¥Õhê¡NÓïí•–Fy¶5;ƒ<«¨Óêº×cñú‚~NÏx/)/0^þüÒ8êôQ+åÚÚ3”gåÑÏþ)âúèù€‘ë)¯ÒWîe•<ååªd6ÎBÿ g‰#¿îoiäb¾“š;ÿó5겡¶¢ý/>ëpóêáî¯qKT)¯Éæû…NijæèÊŸïçâþÖ¿G"¯ŸZ2-Ö›ò²ßFºÕ§.3Í·GÆÉ ßr'°ÎÈP—M•Ñšó‘ÏžŸ—÷7 .O¿ž<ŠqmÚ{,ó«%pØo Ê;¯m9Áó|ù„ƒé˨smsŠa¢=åÕ·¾Ù¶äÆi™|i0öûdÆ&ϘŸQ3´n'PÞéeÍEÑ”Qÿ²xŸÆÿ|€Ûâxý뀸;„òvåmRŠºÁ»b1Úò’{þ}2êZúÝWƒ§bÃ÷I½˜‡þ É»å†×Gùžnù4™:uöï>~m3¶/6u Æ+rÓ^H¸?úr²Uþ#âbW=Oã’(³èý…x=¯ô÷Ôåº ë¤³œ©ËÜÙ¢®öåÈ¿œ×ÉÞÊÈ+©e¢A•Ô¹Õrýf/ĵÁq×ÆÎVê¢]ØqaÞxÊ Ñ_½ ó°¤<Ç8DtvƒÑÊkÕôwÏi§.÷«G¤aŒh²ùV#šä*ºZð[%&ŠòbßÆF4*QÏ›=záÒÕêzsú[4+"åyâþž¯3§+Ý^^~AÚe¹Óõ‘Qq#Ÿ­¦¼a3Næ/¡”g7åÈÙ—NÔñrÕ¨§™_XVûã5u*Ÿ×}ôÛgêé«6ûíRÊÛ´´¢ª¯%åñôVjê›RG¯F¥i«1Oãÿ°=üõØ¢,i»—òäÚë_÷¥¼ù“7-þôãxûóé:Ô%øAwì=ÇÀ}¯ËiSîáY3$‘}ÏW|¦¼©Nebùˆó^•ÏÑxžñÂG{§MÀqÖ“°ÀñØŠžaƒqϼYáÞ0“:I z‘M]¬'†Xgü¢.Ý×-–̉ý ZùP›º¼X®¢{íu¾¨3ÜN_ê¬xùà‘%¨Ç·T•­¡ÎZžÝ UŠ¯Akn˜A´¹µ9€ºYëšÞŽq}[7RºœÜ1Ü0j%åúý&á;uÙSŸ:]‘K¿Ú‘½1»(OsckDÛ5ô{ùÅáQŸ~>6ËÔÞ@yë/¯Í.M .«‚dm׃ÍWÒ²¥(Ï\íž’ûyäÑ昴%Èï©O>Òog)OåžÝfv æ±E£_šuêçëc7â+åõÄÊcŸ¡ÎËô]¦B]ÂãX7?C½™VÂzCym;^üÀ¸D,_³ç'Sw}´Å|ˆ>96RÞ“º¼QŸöð0úS–î6í÷Ô¥þÓ5rvPîÞÅ÷ߟ§¼AÛ%85?™9iƒâÇ .»¯ÿÙN]æ8ì¿'‡xœ ®›‹ç¹ª|“¿ë '¹²C5Ô±yXYCŠµ¾wü“Òëw¨'¶ÛÎyÚ¡®¶¨ù]É¡Nm†«ÏÕX!Ï—%¤í”¥.m÷¦ûM¥.Ç8uÝÆ<á俲}Hy[äU_oļ¹Æõ{Ð_Œº-¸yc&êã£Õ]X_ 4?0þ0êÌQÏ#·žƼ\lð¸ç9§O¯uà|d^Uw%€òB5¢oèžDøøéšH;匭½.y 矇ÃZOrqþõ:STþç³å?‡uESç7ýW¢Þ}ŸÝ²†ò&­K›r’:.ú´vs6¶«8xœV1òR±hÃõ:Ì»7÷ÜŸíG£š7¯}ŽyµÙrb³5å®Uÿ´TÇI'ýn,DXw‘w#™òì;{¼Ãý¬³bCL·âüëæ4T6ùgÞæ¶ó1SÏ\œÃC}w¯IXèB_¨š¹F.£ŽÏ[u‚ÓöQ—Ø’E¦-¨ßç fgZnÄ~‚VrŠp~(\$*íó”å¶ÅRÔ«ÖiÇt.ËRljv÷Çü)y°0nÎÿy'˲“©KïTùX¿½™¹¶~ÛÊ[¤|ë.úiòpý2¬×s•T2=¨‹áÕE'‡`œ]º_¸¢<1ý}Co9¢Ž)Þ©²ó`öçÒ­ÔùIÓ€¶‡¨‹ÞÒ謆ÙÔeoAÏ¿yäÉ(dlÅzG¶k¯Â0çÂ#¬¸¦+Ôe`ÄÊÄòÔ)ºr¥®QucÞ¢ýç½8m± \êòÒÿסÅÛ1N{§›F]z¿îû‡þ”gôæµ½ÙQÌ_žÉáÏ8­ÿŽ•êcYßÓ…”7¢½»ÎûE_Y›Ã÷S—Wüç¨ÄQç³ܮ—z(¡Áÿ!u¾}*§É׈º|;ý¤ë€&‡U¯v/£. ÏZ~šaZ“ý@yé‚:¶‚ù'‘¨ó×F5íUôDÝÒìVÒFÜf>Õíâ½ôÔ.¹«8¾Ø½ï¶=Æ:gšjîÅLƒóÀøÙÈï‘»ëºÿÎ#£þ]b`ð¦ÎÎÏ.J_Åú<÷šÅ±'8ÿ|÷Þ6ë†+ò’% Q?Þ¾pøUì„u÷}5ñoÙÔ¥bá³Cmï°Žel÷ôé—bVaœÞÍ‹ÒÚƒóŠÄ•—w°ŸWšä«Ü±Ná^ºÞ| y’;­ÿ ŒwÊ¢{QÞöuá¡Öç(ÏæõIõ"Ž/f'çå˜Ë»ŠÚè˜% ×zª\ œä•Ñ±Þ<âÞóoy©;öC~ÜßöI§ë¿ÉZKÑŸ©läß³;¦ñíÈÏ{rš£þG瘭¦¼Õ—›.}iE=›û¢ºE–:=˜ÇMy‹çU–”o>ˆu“{ˆcò/˜÷»ÇVÈà: ôZf2Ö!î5JÒ¢Nƒ˜ë÷û±ÏkÃ1îCüú˜ þ7ŒÏvYë‚mrC°þxÁ>±"î#uNýäzô=ê1ô<ë’!s¢¶ýF½ìÑø¡ÇàPÎ 9ú¼V•f̧7ßoÖ¯Â<Ø’1Ò õÂwðæ±oz×kìÓãy¥¦QºÙhñ…ç’T¼%ÿÅÇ>…P³xmäGóh:êa«ñúË!­ã¥ºAõ8:óFí¢%ëàŨ.ÑŸI¾ðÐëJhÁˆßtôèŸÞŠê‰ðdW‹õÐ…epWóɘå g¹Á³_òô©¤Üøæ¯KáÇ5·™ón•Sý‚ß9ùu} üþÀqN¬…«¿2æh§b3u~«-Ÿ‹¤^/‡ï'c-ºÆë¦AÖÕ`ùÚ-w©¼þ£esG‡Ò±Ãc6F…ö Å;u|é{5ROݧ²3Ç3ÿÆ R߯ö ÛáºÖLÕ¯¨âI™ëã÷w@l„éQÍ·­$»nG-½'nÝ?•–†ze ¥r§LF† ·WxÎßwÜ ÒÝ^ôy~h?½-ùíÜð³øjèÍ£épƒ7üÛ›÷QpÕ&|Pɵt°c¦Grç#J—d5Ž¤m9ôÉâíJ]tä®EÒÎÙÒhSniüJšÓ³½!zž(Çx†è¤}d§ï „ :rh¢êuß3pÆ~áéÏ‘ª©~Öã6äèöwµCá‘Ëo÷% žtÈ•¨WGë!ÜוÀ˱k¾©*¿¡*™©»e" ¡Ìÿ°ˆnÀøyOçH»¼7”ÝÒòÛbqn$*½yä eøzÌØd /ÇWY‰MùBÇl+ÞòåëEøýøªÿZjFG-鎛ÿÞ :hvôÞwH‰p[¿ïíKªª>enÝùëðÕø-qÞwM¿ï¿`þ®ïX|öölȯŽè|(‘÷/µÆr]áAÚÒ•™—+!ýq\šâ¡¨\yäÑÖ/c¡ÎC}©²ô/H«Nôß>~|Úù¦J¬ß$xc:ÀïTmtÜÝì4ÄáÓneà õðÌòây•S•¡d¸¥&w v@46uùaªò’ÈÇõPl)[;ù>%¡ÿ¸Ë羽ŬØ÷Sõ §_½qR²+¤\Ø¢a~‰PIÍVo/Ô7vQšÂþ‚•Ðt;,;xX{õ5Ô5”‡hrþðèc~vËv§Ü%h‹âœ*Wy /ìV~k_ÅVgéŠoý mOû‹)^òðáø“™I*»áÔ‘·™à <= »öÀ‰AðaC…âyQ9hØ|-Ì 8™Š|öl<y+fm½«³îF$Õ-=½ÚåN†TGGŸ>ßRÜböθ;¬?¼šøæâ®Õ« Iÿ‡1gáüÀ7ÞÕC“Û1wEÍ]ˆZhUS ¹Å«žÆ8Sbåôðɼ •ái~õ9”ºÂZµ°\:|€hQ,ø–jÉ!»Eè ûö«Û Tk›Ú'׶Ã>þV“´5áÕº†€+¤!¡l{дA¹tà»~÷"!"ÉÉG®ñ øœ<¼&þ4$V;¹wç(”HnQ,¯o£"¿úYyzFÃ×S³öU¿ƒ”YT:•m!UgÙµ›w!zŒQUÛRhŽ?7uÚ˜@È;ùý¼…¶)|x¼¾n|âz(ÚëñêT?:¡lÀÏæì¾ð]«ƒ}ãy(£¾Ë¤4å®ì^^ÎÓ…X³ˆ¯CÄe úã‘åSÒèÃ&qÓ¶PÈÜ÷Eï–Ô¨:ºqeMï³ß³šÀ•;VOC܇º1µ:í´o¸éç’ËÐð{¹'MWé¤ÐÆtu—ù?¥hËÇl]è3Ôf$äžOój(€¯GæÙƹCÓùy÷ Žƒ‹™¥CÇM‡«ßs)¯€/ºÍâyó ˜úWÄÙ÷•>GÛÝ¡yíŒ} …Š”Ý}³CŒdÃÙŒSgNæŽU%ìUû@ØìÙ^ßT6ÀQ¹Ú÷Î?>¾Þ}ÜÍü_«þ8½€Ž×½òGàSØó“7nÉÓa§¯6Làî€â€<òñ$܈{½]®ªxÙUîƒR¥°ËdGœV¾ìgh®[õ÷ü‘ ?²D$à vç¡O§ÚÝ!çãÃ#îgÎSÝÅe¢æ1Ê”¬šÝ¤æT,qÈÙI­ð€eáè{d:Ä/爂´~Å뺌ƒ×A±ÏÂv¾¦C³ß\7¥ª­Øîá@M‡6<Ê­²†T_ÿuŠìëo#zô™)UÛðnéUKèø1êå¤âTJmLç½Ni*~ðÓùN®#¤ŒÓ0|~n æq8ðñè·—Ióhñ‘oMwAƒå·Ý ¿PqIþ:Xåzùó× [áµOáÖœu”hî׌ Ü ŸKU§®-{Žé^¬Ö í' I>N§8¹o©]ów/–n‚Ï2qO ô)KÌ-þºåK:r£ÚeÑ5ð¡¾îoÝ^IßA#È'A¼ÝÄŒ‘%û¡ÔØÀäÒ›ßðEÝÝ°ÒÙ2©¹Û1+-Ú¯‡Aré/Ð;ß /Øk2ð7_^í:ö%”Žšøíw?€’ªù/d]!ûyÒúA¨œ?;)ò@:¤šÕo˜çjuËô·m¼ñV³§o1ƒè~—/]‚²WÁÝzs] Ý&å ˉBÌCgù}‡ÒáØd±4鑯¡x¨‰ñ–wÌßýõüG'/Ú.;QñT]šPö³c/ÜÙ¹/InJ älp»¤».Ò3¯‚á¿2Ž½Š³%r×ͨ@1{Ñ ´>WànGÆÛ=#/AqNN޾͊ùuú‘†/èèµ[.§Ÿ<ѾYoÐ’³În 6€<ûÐW;›¢ ~õ¼ãšÖA²îÖÓ„I² F 6¨Œ„äwKÞG ‚š]šO/=Ø~7µWfÂ5‡ÎCî¹¢Ž¿1ÊOnˆËè6ÙCó‚òþuäÌ°‘µý$©¹·Î«•b$«ð†"\[ï7¸Z¡2Ԇ싟žçÍVðâ%<²Yàry|¦p½éXeß¹nÙÍ£íWŒ¼…M[~GÛŸ†ŒaÝ’KËVÁ“ØDqÛc?^m¸g"d̼‘õ²<²«ïJ_þ îð×kë}¬_Zû{Hÿâãcù&2[§Å_Ý?V½x¾Ò‡ÄÔê[«Cv¡›øSIix\0­LÇp dÏíšÝ¹ñÜÊÛ ‘“t sR–B·j÷˜Ô„Ÿ ‚EŸÂ#ŸÀÚÔÚðhN½’m°8$ù7FKo÷ôñbWcçA®ÏÎÁÎÿ€J®Ö…KFBqÙÊÐàà:È©m¹>¦ Òý .Õº%Ay‹­E‚ÓYH+úÆ͸¸RCä,.ù«CʇG#‚L‚²¤W­ÞRxú&ÛáÙ†>ðÈßÃ{’&Ò¢\²1ß³«*7)ZžƒÄÀQÏ\ƒ c^¡ÞÎes!¯`FØ‘¹_á¾ÇÝÆ£¡ÐÑn›¬K%äþ^$á}Q2>n8wnùDȉÓ¦¬92¬d÷uÞƒÂè3&òÝ^{=efB8…ÜÊŽƒC¡ÈÄÕ߀‘©»ðó¼ùEð0Í%âÆ«sfNKéÏvÈlªÒ ™ÊŽKuœ'CÚÞªˆýQðx†ÙÀ‰oûCÉ|íö«—¡˜U<#ã)¶ìŽ^® Y†ãcÜ †bYn­å Ÿÿ2Å7÷ä®:tËlxbt@¥tj6d®²µ¯©Ú¸j†h² dNE´¿Ÿ\ýbk «²kŠzÔ,x4°Vòò£™È1¦¡ïfHÛ¡÷òD¡T|zŸëxJ’ôGºOf©^Ý­·2~œ2Ú]ª é!³÷ŒîO<#5òʯ@wáÝî9d•†þBsÈ,ê+¦6'&®î\ËIS¾¬Nœú¤V]Êx!\¯Á×óEoâBö³+3–É(CnÌœ.³tät(µ®Ðl€¸+¾Ë‹ÔCbôºü¸­§ oo‹ý%Ñ.È-~÷q`=ÜÐ%¿ªŽ@ú€ÇÛ³ÿ¼¡©ù‡¢!·¼áä¾7K x»‘‚ùÂ$ÈÏŽ‘H‡4Ë~ÉPúµ;oü½xÈðÑ^¶àdEÛñ\jê¡œdáï O&¾óaåjBÅ|Eó,ƒȯ ™ ̃§¿XÍû:•!ÿw`ð[›‹“¿ú¿‚¬Kòv§îâܼç‡Ò?B‚fìÊŸY+!m«úqÈ ÕX\TõŠ½3MÙ‡yjçjªÀR€Ø¯[ò÷~Ù¥A7kæ.‚ôÉ›Uõ?ô‡t‹šÑÝ.©Ö­õõðÖá=]VQ!3Š:άRl€‡^áw5®}€êøª–gr'!#×}ãíAÛ!C½Ï¤ÕýBê‰}^Å:lÈ}ê!ºbåiÈ;¸#ýáÓ×™²6ç÷ü0(y1b•w¶Ô–öW ôHƒì¥"ŸFN€'™oxwŒ>B†ô"Ÿª ÷•íÎå# 5K3ªÑõòyóñmÝA­úzc™Ï'ÈQy&ó`c$<>yíÜÍcž•¼xÖFxÒUXª³¤ ò¬¢ˆä´P8[6u¢T ä›äû—YÕ£ÜO™ì…4 “¤a¡;=KuÊëoðxÁcý!Þcáñ¬ó÷~Ÿ€¢¹o¾Óç¡tKHU‡‚>~Fòaªî9Ó ¿èW튬)P"5=2ó»9”lôÈÚ7admxµ@K·RZ:hfð wD…ÄÞÊ—žÔ_5ëžd§›/NU€b£ýå]ò 3tþåÙÝžÝ8 '”w7a[‹ñB+¨xå3ñý:x¸>Ü;è Y³*Zˎ̇\ë¸é ºü¡j¢£¯yV‹¼ì»Âò,æf»´Cžçî•«»7BÑ|©¡~mSá‘`½–ï÷\ýÔì¥->ˆ=Ú~ä® œ¿$ JÚ¿/?ªÛ­—˜ÊA^¸mÔËÅ# '2âv湧ðPÈU¥>?õÃ$Éã? #ÉÉY9£ò}Ï®o”‚â[Zxû"¡ñú§Ëêò3¨Œ’¹Ò&O#hž?Ðk†”mŠÐ»|õ8| >ðlÑfx›çt.ý«>U¨åc|ðTIñçó–|g»ô†—ð[á{áž!ÔŽóQöxæ Ò³ò††E›ôEö@‡gÆá¢&ø¡Ù¿Y÷èHÊzÖÙª'JÕä¦Üi‹‡ÁzíÙ>‹ ~?‹àã›…SÎZZS–Êv«¡~¡Ð0¤àŠT¢!<›°ÄI¿c+7éW´ZxL鯗 וNÆ+\†¯ÍÂÚ†÷×Ë–® r‡ÊËfbf=‚ŠþA‰Ã² ö‚D½é'(¶î[)¹ô¼”´ª6wŸ&hë¼—…6µª³KžÌƒ¶lÝÃ4+~6ø„†¤øBí/ÒXj¼êGÍtk0-‚×úßmWo„Æð”É¿ &Ó!ÇSÒÞtBÇ$òDwLÔÚZT~L¡bå ÷ZÖ;BÅÄ56+Û¡ÙW:gÇ–úêv2ïÕŽÒŸ«Ó •?ûmÛ± Þ¸¿î’¨> 5SÒc³¡õHåúåËúÁK•!ïß´ž‡nÿœ8½JÔ._µBó®°i#*e R:‰½ma´ŽM^1ú{4ê̽mW]¯:ÜÚÔ7N‚–ìAçb]_é°2ô¥ç`ø`¸G'¤c´~·Ô½¤ïŸ˜?3PJ¦ã'Þo|»ê®?ôšæ<;å=M*vW»·‚rq'׈8hp)9µäȨ½8ñÆ¥q‡¡aá¦åÛë‚¡ê°¦ÍË”DxntÚQãR+Â:£RÑMzÌes¡¹Åç÷ç·xëjP9+ªœsª”úBÕÒiï>~/Îdï¾Å/c5Bó±~?R>8{«;$®ÒY8x<%³wàçPò1UÍcÊJHŽ;rò^K¤hÖÞœò­bwsÓ>]©—ã||ΗAÑBùg¶ö;D­ú*Ácã­fÞn~lÎê}wÆ@WLïÜ'+È )o,œ ¹!ç¾:¾V€´W–qN÷Ó!»3Fzo«d¿*®¶jyb5 ‹Ê!£9ëÒ”‘6ð˜•:üèÑÓpCÕÙ*rlt=N‡ÈAþBn#Ÿ§>ñubÄ (vòÚ$ë Q'eªÖÑûPzqðæG°Û/9:W~8¤åX>4y¤eýþõËÆòÕýŽï¹ æ“7Ççf2äØ®ÖÉ·ýyêz¶EA~èv ·ˆIp/V£-:* 2x;M/[@¶û—o6²W ïÜ» ¿Àãæf²?!å^É“W“–Áý0cRö{Ƚ¼Zkèê¥øi¬³ÞZ(Yý<ð„5‹¾Ê:4 Šj{¿§§!ËCÏÀcTn·ú`¦®i¿ûïïø¹{&gÜ’Oƒüãê>¶–«‘ò0ä dm¿˜.¡"9i¿ºRC ®vëÙ cœ¯O›ÉÛpŠïZȇ\ª€Ôw¯óáÎ[Hµm¹ÑWç=?³×lWÔôkþ7ÇEAq•xÈ#¿(#‰;‚ªBÞ”à›Ü” µ}ÿºpùÍzÕøòq«ñ}Qù£«­=„·°”žUCÆö݇E“ Áj˜MûÚ7a9þ””ÕHz{%nnÚ'(>è¢v{e5äm[§ÌÊ2ÆV—¹ï~Y¬Ã›³=Ì!»tkFdÀjHìÓfV¤8Òùë5xÜ9ªÒÌã6?ÙÚvOR—ïþ¡± Õ¯Ùãsú6J¾}¶óò,x©)²÷ÂøU¥Ñtuw wì©ã9‡Ý9´á”ùY/[À ‡Š!)Ò÷Û[©Jöɨç>ڽ뵬}öõýÁ ëµÄ;²ï*f@ yåôùº•£Ñ Ì+ øÜè/7?¶ß®ØhBeˆü¬#K.ŠŠlP‚§ú%¡Q¦W!5Á3õfådx¹½Cäê-xšÞQê?ªm?¯Þzj5‹.]2*ou}¥î Õ›+¢:í¯Pg«9c+šF@«ã'«øfxe%og§/7&ž|ýn'¼ô¿xÜò7t-ÒXVþA ²ºÖV›kC±^˜ã§{PükY×ï]x{Ðüã¼ß“¡æhÃŒ5”Âó_×$Ü…²>…w,5°Îy0[_j ¿õ;>E ——ç[´…'¥0“õP šÏm6NÏA'5ìÓgÓþ_ª·‹\0Š_¹Ãä±·ÊJ"IÏ R§Dܸö¤ýø Y¶éUá31ñ¸%‚÷„½á½uëÒ‡ü·¹C¥OM†‚é[²¾]8%sTvUä¢î㦼Õû Ï 5»ªû•@Kû"%‹»{×kUÃJ®^ý¦uílƒy£ ‰«ùöq.<׸q]Æ;â: y ½Þ#ç¨.€R©âÁ:O¡Ò`BìgCYmÏ~¨rgÑþ¡Jj*jo øÐóÕPða±ñ멨‡7O½½¤ egª´võß/TK£‚Š©ì¡ëiQÍ¡(¸yÆ•Â((Ò‰]éÐý²¾úÚÚ®½Å×/quª‡¼®µ…磩‚…êÉï½{×kżA¬áÓT¡LkÕŽu¢G k£ÍÖ±ù? ¤£ë”!Ö=7ž²~Çú@É•+õóC¦›‚1ËÅ’WÝi«1žÎ·Õ–•,…¢ G7/- 챑?ïšú@±äšÏ.¸>H®ccÙE\o÷…TÁz-ØiÌE;³ÃPúkNØػ۠ús»³Ù<Qƒô Zõì4Þ_‚ä»ÙÄÌ€{§^i(z¹ vm#ìƒÆ­¶?VlE͆3Ëf4ªÎW”àAÆtâÜÚa-k[ô¯´KBñ×Ã_VúBÉ’ ÎÊ&±R÷¶Š^-¤E†¼jå¹[—Ç®ú½ Êkí?÷3 z™BþÚ)Xä· o˜q<)‰Çöéü¸4¶w½–±Q]*j¼´®{»]áa9¤¦s/ ¾™plµ_T4Öki?©t`AFúúoÏ÷ÅA…`½ö~†×rõRMx"X¯==$&?åy?ìâW‡àA/vxÎ,ex–“/fí®ÔûûZêÁ¨3-žG¨l€zŸöXCÕüÑ9~Pf:lÂóäUИ3.ÄVé$d-Q»â´ |ðIsêŸO7íúuÜeÈñJy¹ûÇtxº`ÑÄÓÑŸ f]õ% ÃgPãh`5ç¬+dê‡×nºõ²Ü¿öÚ!mdÜÉÈïšP¼üóž¬fU(sC^f Ô÷û4ìíÅ}P’½@9= R[Îí¸þj6[æÏ©ËZ ©ŠwõV¬ÆzbÕ4‰;³ÇCÕ¾ÃÆŸ•Ü¡t÷S¸Òxë½î¹sè$¨êëÛwqÚU¾‘èU±UA6I³!wÓàÀYy(é³à™xm+Ô ËØpóùZÈ×Ñz?vÖxJ²XWg‹CÅ›¼Q_Š³ˆ™&@µE꺎¬Ðl¼v¹ßi(¹”~{©Z6¼M yJÊ g±rZ]u¤oðÛü1õ'<¿1í‰zê(ÔÚÝ=ºŠ}†m©ß^/IJžY_Aw°} Ûz(9d ä½;¿uLv ¼Ùukç—ÒƒP4¨<À{^Åß;hP µm#x iÐuW;ßòQd½{Ó´æ=|ÐM¹·óÎ/Gu¸Q¸®¨"÷|7'@óϾ>‚’ur¶·â] ‘ØÌ÷k.Ô/+Ë\œ ‰W‡µ´©„B¢[ZÒ—ÐÍð™³çŒÙåÞß×Ú,çÜ÷?¶Jó+·_«†é!×(“’E©†¬‘ÛÍ ï@OÖ.PéöM'`Ò@¨ÌÜmµô¶#%šó²wïyO³· —© uÃ÷ÌüÙê UgŸ¾¨˜·º;.|w*Gžþù1Þÿtp‘¾V ÍÇvÿ6|ð *¯Q9¹õ‹áþó€åÔ+Ê›µUý²áñ†œQ³‹á\¾£CÒsHM[våËHI(Y5ÓßÂUR÷®—R–V‡ŠI,ú,€Ëæm Éëá…wDѵ-\x$+nSк*£s÷=<1šÔªŒFh…Æ-鮕SžÁ‡g|"'Ö@­Ò"Þ]3T>™/fxgÔ-zq-)346ŸÞ¾Òã>ÄÏb­•ËãB±~åÙç[L¡¥èÄôWn1Sš|¥YC Þ¯:Ϊ™q—O±Ÿu ÒöÛÝ8¬[ 9qR2éNß!–;´fä' Oú¾LЙ~î±xqI¢¥4‹Ö4ï‚Ç“ú5YéëCÖåÅLx¯com8¨ŽóQÁ#½†ÅpïM¸Êƒ%úPϽùõÔþ¨:2hš×Ù}Pè´j€‚hdøäð!Ѫûs8Ó”áõï¦'i™þPs¾Ÿö°¯ÒðŽÈþx[RµNwÚÇ턯:·?¦CÍÚÏ#T´<¡xq§ñý¸#pæ’¿WÃ'ÉÛ͇2vYKf¿¥Ððü¬ùã ä믥Çn(…Ã[éªÈ-¡4z‡ŒäÇSð´æέ*ß T6ÁOqü (¬·Àf¥!duh”ë—ÂçäÀœá}t Ÿë¯º±ÈrvDœ4[TÛª”&Aóq—^—ÀÞÛAR½ëµ§^?TËG`7=Mš¦ÚÅž/¶Ùd 9«ßìÿ%—-‹‚~/ÿ?&/öóŸaFE?žº­ç›ÙûûÚóò×v-y™kxí^fóå¦.áù·!¿jå}Û@.4Þ? >ÚF‡Þ‚#páò: XºrÔ¦è)AÔQ3Š{*ûæToêv‡†˜Ãu*cOÃ#£C‹–jR±¼O+NÌ0†‡Fgn¦‡HCòó¶gö.uPºk±ÜšùJÐi[¼lbl eq¾„žS Íz5.Û[ =Fµ–¤+ _ƒ¯®¾¿Tî@Õ÷‹­!Ãá¡à÷µì >Çé»ÐyÇeÖÔñÐlxúûà 0H¬× –æ’¸‰¾"æÔfn|ÞñãŒÒåÈV_¼!°\ šæ`µ?.òÓ‹”¥Æ˜ÀË“/ÏT<{mº6³õîLƒÒj÷Øs¬gåÿpëÙ¾« IA1¨ågÈUkº6m ü~˜S7jœ5ŒÔ8¡¶rlg6Ní™?Ö_ùöý9äo;Ô~‰¼P0¢,ê5<¹™V”qIž^yd#áŽë7‰ùéœ.x|°DaθÁP°ôâj‹ÍSàSìÐê.2 Þ-¹)ÆùÞ»^ËeKXE¤¯€¸;*;¹3¡Pâù¼– ¨ì±Qƒ•÷B¢CÆ›ßæÐ\üa±ß‹ßóŸÁ¢ërïBd]²è˜oðvßâ¡jkàvêŽê-_ Ò·&Éúã%¸öx¸Ñø.³Þ3òº ä³Å·´h…Òáƒk” ;c{?þ¾ö¹kFböÒß¡‘4ù’¶»Òëêèló,ó˜<n¨È¦ÅÜû÷÷WG†|;Z®F„ôrß–‘^õHû¦á¼{Pòý^ÀµZ¸}yǹñE¡p!þÊ`õößðV±+úÒåZ85¸ä™èÍ:ˆR]¤{ê7í]¯¥w¿ºÿÎL^,]|sh—=|<|YÙY]Z×®X¡¸Ün}n·Ñ^lËàô»Ç5ÙÝž[}ááž{é Kk Ä[)jþiª\;¢¹KJÞÔÚ…$\¾DEX âŸú:ÁgKÆýmT:bìŽM‡^ÀGÞ¯ ƒÓ‡À]‰ æ!}uàÃ&õ«-qÝðá×±ùOF@ÅÙsÞ¬½Ó òqåiã•Ð颸ˣl#®û˜1rdú.ߪñâEÿ¿ûç£ãëåÊ!íH¿©N>)Þq|øÁ¨³ð@k¦Ý›« zÎ>íoï¶Â}nL´y#ä/IZç†AÖã¤å›~@¹à÷µqÍW™Q›à„l˜Y|†|kßc:I:šiÏ´ûòÙ§¾pÁsÀþœÉ!vIû"žP¾Ó\9?½ ÒDã|n…~€¯Ì¯E!ûã™v§Áñ²\Æ:ѸŽŠx… 9tj Ûwüv ›Um w†ÜƒTÏÎx¢ðï!{yvÄÿõ›¯äòÛlCW d_^¢25@ ²ÇL6úÞýÏI;¤j‡7¡“Þ™å‚Ü•:´oB4îsïãâm—÷«Z÷‹ûiÏŸ:-€{'ÛV.è ý–-ºP~Ñ…ŠØ}f`®ƒ,;<j´ ëj@z]L¤ETO;þ):»oÔG&BGÕÛyK]?B‰®ŽèÎæ:(»õ&]ï4d ~_Ë3Ç%h ž´%Ž½k³ žœ|°"ëÂ_ƒ%lB‰yÂÐêá¶èíؽ7²p=÷¸¸ã}ï8o§Ö?¼;"²#‡øÀûëýª >@É»2ÖúJ7—V;Ÿ†ø…k¶®ó Z­FŸžö=®†ÿ$g'ŽGgKtWBú]íg ÃÞÂÝßSµfgC wlö§°×pßd©VI§3¼ž¤<  çuÁßC¦nZ:2ød R>¢ãú}}Ò'¥’×›¾R¨ƒÔT·¨M›_Buñx±6•¿õèîo2–j‘A„à÷µHøõ)د.fW½y© 1ï–¨¦l?÷ÒÞŽ(Û× Á -—Gr¦CkƒÕöïïv@›ʢÉs¡ÀUäûþ® §å¥eÞù%nâã ŽBôí/[NhtC”\§{Ôë5ð~wæªôÖÞõZTÚ™®ÕÀ½%Áʦ’§ fSàíO§BîýøešŽáðà,[dð¤±pÚs÷LÏšÛЬ—û¸¾FÊú¶§Xl]÷\ÁmU© ¤µ·yý®x×Ö„Žp(ekY/ÊêAQšÆñï»WÂ¥ÇK–/qƒ˜œS\ oáßCB‘Ê3kµá6PµF|óýýi›>4}ô˜ó.›°cÎÒ1ðÀ Ãø!=îÈ®ÿµÌ¾=3‘»‰÷:*ô ÛìñS¨ •½ä×CŒÝ5û‹8š,×Z]ÎÞµ[y®w½ö¬ô»²*^”ZõÙ íOã>‡ 9 £¯^îTÄyŸ–Þ‘5•_϶x§CIÈ·±;Â÷àúW̾ @:€ý­î‰´‡Ô{[7¿{>œßf"‘|RŸyne ¯Æ¨ATR?½ªW15Aw$—û@®Õ3»J‘:èy:kóøP1ÍR}¹ÕRÈœÖîtêØ:!Æó•)û˳ŽfEè½Ä‚÷’P%ø}-šYV8~ÆKÃm6}Û Í˻ݾò×{ô?<´(†ü=áyãj¿À×ÇùŠ©/_ÀCþßCBJYdvw7¼ÖZm#å Oûß1þô~'•ŠÜë]5 r=$7¼ÔÕ»^KÎI”3¨ò›Çå\/4A^ÏH>W9 JŸ÷©Ì‚ëÇÝâS¼ Zæ†q¬vxïßCÖ>:«ù¡8ŠÎÖeõ_o M…«²NxFBËóÇŠ‹NCökÕÖ£¼áT ¾kh|Óšf¾aÜhzz¨úíÙHÚ¯ø]ôuí{Ä0'¸;.ºój¼” ýŽ™_P¿YÓºkÄÜ„NC[ö—SVÏ©Dõþ=ä}›>Û&­[Cû^éû6 Úl·ñn†RªñC½z¼s~#ñ÷PH¸9iË—m¹ÐÈîyò´m¨ìa]ç¥ðkÈÑŸÛ–c½ô¦®².ßÞÚ$%ÞR±ËÈ“epG°^«»ØuêÉ`ˆWìÝLœŸ¾°z|[²÷÷µŒ“eŸœ‡ëß»îvUÁ•®ŠÏSÒõ×øæAºË .[t ÆZq™'w8lá :¹q$$HÆß«‘Ø ñ+O½¿jî‹ùb¿åPX%æQÜé×!ð÷_V…Wçß?1õ·ö¥ßݽ'¨ü´Y&:Î !—™¥'Ά&«‡.·ïƒGk¯œ¾“îù»Þž)⾄§ÁŸšW îO%dÎ= ý îÇffÂ7î>Ãp][™£ýŠë¾bå]Ã.;ÃcúìÖg…¥ÐéKIWçkHR÷»ñ T ª<îòŠ±"Tâ.¿>‰|›µº*©be78ZEGõþ¾Ö&¿#¾bÕuˆŸ«]#Ë´¾[<=&èÀÃä¼/R÷õ!Çcú„rmpUÛ,´Î`¤uê_[gNà‘Çþ‘[»¨È •›u¾ ‡oZ %‹$ äsnždáxg¢$«¥~6j—]Cà¡ [7´Sn$®T2wÕR§JÏ.ÿ»êõìÓñ-Mþþxéa(>·â‘óÛm¸Þ:5ýq…'Dï·KO}idô˜ÏuzpIîû•²i…ð帾â¶ôðyÌIFù¥kÞ0Àk#”ÌlZ¿åj.ìi™t&¡ê2¤eÛë¼kü÷|¾{ÚªÝ9ËÅN¹CÒ;æ}rP/bGÇs*¹nÃ’~&¯áA±oß>1ŠðÙ]bû‡g»!ãú»·ÜÂ![º¸ìíÎ5TvéÇ[¹löÇ·›àŠ÷«¦)' ãœçèîª0xí·¨pOZø÷³Ìüö*ˆïTþš¤IÐÝÿBš|èÛ¨á5ú0tM›±B«"””Ÿy¢ Âß×zÿ2½*yƒnˆ2Üžyè—ÓÝ&(}¤a¥þáÜXlíÅKª†è3ßζß —žÉ½i2‚û}æ‰66A–¤nÊ 76ú›^± ’lV)¬9[MÓ†/4¸œÕ»ÕÆTï] ¹«ÅßÍwßvQNÆWOCÁ>ƒÑƒîn„ìÊ!•é[&@jÒr‰3±ðô‰¡¼DâdHïü2và°OûXoæe¯Ù÷žsøÍ shøáT².Û®¯,¶•‰¼ wëµ´GëÊX-4©tì-s(*zÈaÿ~øÝ!}2 Ü¢/ŠY<šrÒm’Î_+5‡Ø˜ {Ú·lƒü ö·D3!®Xõý÷q<(ÌXk°âàXHñQú̱.‡”[+Ë5š¹Âß× usٔͮǨHE6oÕ¶ã?eØÇÝ}!9¿¡=ÈžBtŽ‘yøW{(©y¶©u—¤éO’ÿ>N ’™}mÿ§ßi'!¾Ô7ÌúmT ð-×1Y wW‰ïÊÓ[OÙã¬u´ÍÓ ý×áÄþ CÃrO›cóÝ{ÿ2®õCšMÛ xÜT%¿}‡¤©q –Ï÷…ø>[ÁÜšïOšú"o+\sÓ=7ñ®Üà=Ί¶ ƒhþïkpë•™Vô±>ðEðòâƒ?¥UkÀãWšti*´p®Œ=õ*ì ~}¶S׃æüÀñÜ›³£óÑAÈû¼<,ù÷wÒû,­ë£jJȘ,B¬,éÈ÷‰ìoB4 µ°<š q½HˆFžEˆ#îßXL&Ì%d²^oNH„+!ãRÑ'7t ™4”g±HÈ”YxÝ6BVÛ²¤›þغ6!ö3 „mOýˆý]&d ¶ç„û²ó¶CÈüJB&â¹Ó, þ‘ˆ¼BÚo²`!Gçv a1Ï—MÏe-„Ø-%Ära¥ªÖ°Ÿ„5NŠíˆˆÇ[BVá8UNáXÚÑGB†=ÃqÎ'Dý´»DÈ<=BT Ù¼Ÿ°2§)n„Œ­!d‚&!28ÖþŸÔÍA<ÐqWk{>ÙÑEȬ¥„•cnÂ㈟~!òx— aéã~í„4µbß8vídBÔýj&rj-µêGÈI"âçØub{9D¤ûº(Bˆâô ×Ên\ÄQ ¯/!dñhBžÄÊÞŒ›Bc&› Yˆíè«â¤AXð<ׄå)JˆÑJB.)aŸ±8–Ÿ„èl%Äq{€°=KX}%0¦‹·Ã„$aŒ½Ñ‡üÙ„8c¸2=±€ÇÑ÷é ©D\aÌÂ}1l!ì#ÓKþ)!ë––Õ "QhCÈ ŒåFB\÷†ÁØÖ9BÈ#ž„ÌÁøÉâµv2ÏSÇxh¿#ddaM•bÞIÈ«bn6œä‰æ!"2× ¹ÅF}à¿Ûf*ŽÇǦ;±?‰ãÆž¹¼aÝ@ÎŽ?CX"óäÝ@ÿzÄt:Ž1^ûèƒíâxLª‘¹ˆóvBªqÛ9¢xªM!DabqŒ°cŸ#V°ŽË–°8 q?b0óeênlŸ‡íáرÏØγÃÉ„4cŒ)%ì>ˆÍ´Éü÷‹\ðG^#+1Nö¸uíKDÖ"‡| ™ý c¼ûð&,¯!D„ʾÆ<ÿc¤ˆ<ˆÞ‰ãB ëD kèIäb£ô™HèaœõqŒWB1ÞØÿlÌ/êKHÂ:B” Ëù±çr¹í‡ñœG¤?œÆ1`¬u0÷ãxuò'}ÄzaÝ AÞ!¿¦-!"„CXKWt±G.Bü®aÎïÇܼÑADO S° ŠœšQBX²Ê„lª%äëjB¶¢kq1–NRD$11ÆL˜Š8¨êßizú:Mð;bY”c¡r.^_–:ضn¾uA‚rå¿NüYN9,J+¯=¦œ¯* >H0¯Ý3¡N#wJÑ¡—¨Ó¸_×äÇ_¤\ÙýœšS+(gò†ù~o(ç³òÉí©C@¿9^a”»±ÎüØ ÊÓwâüÙ ¨=÷˜Î´[ï)—{-ÖQG”rO¯të¿šr¾XÉ{Ì–¢œ>¦Å¯V>Â~K¶op¹JB]Lbb¾PîòÐû¿$£(×+êǽu‘Ô¾3íÉZ)Cê˜\óP]ñ,uðÈ?±¦õ.µ·|¶V×Ç—Ú4—e½pÀø~‹bI½¦ö}M‚›Û6QÎÂÕ·f™P®ËªŽ›Ñ¯ ¸Ý×'P»³÷Ö{ÇͧŽ] 6D%Q‡9æ«»Ï. œåe³–„\ œ ¦oÙ;P®Qè¾ÒÅÓ(WÓh‰ç¹pÊ”püä9ÛŸs6lì\ÊÑðùúÁk”s?9ºàÄ,ÊP Sw{ µ_¬sÎÁ`j·ßçˆôÄáˆÆÏMÊál°UL¢ŽJÜfê&R‡¿nŒ“>A¹ý»mÞy£Ž¤aøƒ±ÈÇ°U£D˜SGËwA¶hR®~ѱÐÇg)×ÌûÉþûï)Œ¯ÏŸûƒ:†S=`mJ¹JužK“ÖP®ô‹ž÷3rº7ï82ýcn¶ažuŸ^üVo·y»`FµÉ{²×"úE ‡|¤œ¦Þ~ƒ<¸Ñù]ñ3Ê]B6¨=@9áÕŸ~$列¾=ï?çL:±%>ИÚ}^¥cf¬A9¶6â&r#)gfQý(¿åÔÞah×+äg9|݃|›¸f½¬*ux¿©ªXΖ:¼Ø›d<–:k}’vš:Jˆ-°€:ätŠ&(-£Nì‰å+/ùP‡Ên·HY3Ê —]pØó!â¸ò¤Aw¨ƒcÓVªü“rís´ìÏP‡iV¬s‘73“QA¨½˜Î—ÁÅÑÔqhŸ~UIƒ)焹ó•Û(wÁ¦BïÎNjÍݱA·UÇ{¶çY:œÃ~]k}MÖ-|÷ˆÃü+±ÕaL¹“v å줜]’¨åYj?t ­niFœ]æž•”¢Žþgê*x‡©£¨ò¯½c )g™$;®SÎ0½õ2Δ#æ¸)Æ+ƒÚ¿íX¤ýzµ78°QkU6µYUtuÓÊÕ–¨,žÒ—Ú;?Ëœ5ðµ_PßzÕ$’:žØ÷ýüä‘Ô…Ð{¨7_ç<èt¥\Qþ³UºâGÚìt£“ÕXJŸ°ß+v¦Ñ”Ë–\•½n*êŒØàuqý('@âôÑcáÔỚ㯅ƒ¨MçtÙü3”û¨}JÐsÔ™}ÜèŒy2Ô~óü›·ÒPW­V(›Ž¡\cµ™ƒdØÔ¡xÒ ‘¾O(§p`òÈ„rDŸY÷fåüúµðMÑ%Ê9•òTuéêðòÇÝE~ÔQRr`óIԣNJz‘7©CQÄ,ç1W)7µßB3Ô…mjR.wSnBÿïï#s¨Ãè·˜¨RŽ‘ßËëgSÎÙ~!3‘÷Ë#×¥l¦ÜÁ ºNÿp§ö®í•çƒ¨Ã¹N‡FQnpkt* u}÷„ˆ7Õ1”«±j¿büSʹ³?ÞxVålr×´YÖB¹z·™€óFnÊ-äý›à§­U锳8bÚ€µ™Ø|Ñ…äËÔ>q–߈ þ¨—…æ>M¥ö›'yå”;­ð©õ5;ʽ¸ºbÑ{1êäöñ]ãå|ê¸Ø2^ÓÓ…ruÅ'øæͦö“¶äUõG=¢ÿJ<Œ:M½v`i1åšrF Sý†øùÐzh¢oÓÀÙV»¨ýkŠÏRÇ/û¼÷,¤\›Âĉ'œ(WAwÅÀ„"Ê1¤GE"#(÷ÝM³£’”»ÖÔ×kC3u¬³s¥4âºÂ{ËÓ÷Ô±ÿ¦GWÎÖSû^þÊIeÔör™ž°uÓÍ£5IÔiÖÜ~úæc»5;ÎWÛQ§¥ËÝ[ÄR‡e—æ>ÿ†:[5/qàtUÊ5pgKmÇy–Ó˜ðV©õpÝ wÚO(W’½äêÌ¿ ‹¯ÈeSNè‹{#·SÇ¢s²g/ÄQÞËÞÙßqŠ¼òáD4åð®$Ž¥ö/róã­y”T(?./Š:d¦.Ñýµ‡:=³¶Ê}å8Ú,Èí¢vûÆmš9™r._z[±ùU1â­˜µ¿œ]5þ æGÝÓÔ§Øÿ—Ʋ¬~Ô~ ½ôc1ö›¡¢†óO¬Øx›ÀË”Cy³M>PŽû•Íùo)GjŽlÅüxÑùhòü§”•`8¹£“rfTtVÔ¥â+‹ ©SáºUA/C©ƒ÷ËC!›çPÎÕÕżMÔF×®³1L–r¥ÂF¡c”KÆ?y:™r¥‘~¨»WG…¨îÁx+ër”Eg¡^¾žbºð&µŸ>NâÊË(Ì{:¼œEϸH9Ußy˜±(ǥߗXÔ—‰£¦ékn¤œãï„ýšfm‰ó@…úž>5”³Å}¿Ã©í”³§¢^Àíùö•m‘oƒ•x;©“bÝG×Ï”ÛÏnSØŽ`ʽ+wqê§CÔžcøêË Žðú\làaÌ“+|³S{™µ[·Œ\B}¯èEõõ Ž'ß=NöT@}%ÒÞs0ÚÍ%•'¨cbM\ÆÌïOƒƒßï¢îóß7îÆ:¨¶àÊ ;¨ý¹ìmq£©}—J€×RUj¾%óË=œçÖõq¸LmÝ{~¬£ÝÆ"ÕEXÞš;s&u4qRJ2_Eí·ÍüÞ"~)éÍ8l'I9ç]Ž.ÅþJûœ6ž"F¹}¿9¬vzN”/yp–r"Ý_ÓqÝs¾0؈:†m½ap͆ڳîeÿ¸> ëÆ;˪·ÝÆúƘúÛQ‡y&ÚÇ!ŸÝ·ìÿñ盓šüÎÄS‡òRÝïßQ?rŸßÿ÷{Äë{¾Ç:©ëéÈsbú8¯%¯=YU„z´Ù–VÄà<àþðÎ*j»¸*rxóPÊ-«œÞwpå({ ñ*Å|\´š÷ä‰6êH?ï-YWïª#Å\Ñõ÷W4$R»†&ëàR+Ê)¾9ß«nònñ×¼¹ÕÈ££ÁO½·Sîñ„@·\¬KŠ>{,du`=—&qöÖœ—ÝM/I£Ü'-aâÔÆuༀ“(§þ%ïÛº!ØïRÞÍç¨[º;íߧ\±7FõCGQÇ÷ƒ·åW-ûüÜ€Ú?L îôÇy¹ìŠnÛ]ÌCÃå¿®N_K¹—.jèPÇëSfÛ ®j¹£ý(ò·¿²Ú›²2ÊmÿpVÉ‘r’¸ƒoæ¢î6qNL_…uS°~›ëP[ʲÈp´nꬿ÷YtÉyÔÕb7£%Û(·eöÖÏ»¨cmcŸ™áü²š{üúlyêxÏ,Ó^SNÞÏí •è¿{È⣛©½D˜ö€W8Ì‹ë“ŒóƒîµâõF8ŸG¸ŽUmšFÕæÖM¶¨§œ[ÜÓÑ8¯ON¹he˜A¹3Óçi²¤WÜJ;lQNÖñȬR ŒCÛÐ3‡PÇËõÏ£ÔQ7Œ-ÆEž½Ožêª7¸gd¨ë†SNÍ€ëãtœp=±m²kDå¬û­ì‹ñŽ9¼(rµã}uÙÀ9G¹r7UÝ»C(§c§Â¯cÙXý¸P y»\'HõÊâ!ß¹¹ÔéAàéÈ—t“ì±ëê©£é)#X†yºëcjkò Êíè¼å¸ßõ.}×q]Ô÷Án >ÉZ”³~ AɊ唾{mÖóG_½p+O”ûyÃyù†~äî¹ã(gƒ““îÁê0_DãÊkŒ÷\ߊp§Vê0)Fsç”ÃÔáu¾«ö, 6ËF»[ ^ñŸ…ÉMãéÅŸ™H9ñ5âFPG§œ+ŽP§ßVä}‘?’eÎÜÇ·¨ÃžÅ몸PGõˆöW ÈßÐæüAVö®×&]¼Ôr¦k Uó-vH¤º’×–,ê^IuÍWùUœô¤šŸâUÔî¦[¯m™ÐNÕ+b*'ú̧:=ö¾ª½E5§*'~oÿ@M¯ÔKëÞGÇZ³É°1…N˜–þëm´%??ÆÿÆõCtBöâEæ+·P}Í¢=b›ëé v„UžHÕù1¿YzÌgª5q¸ŸšY_JWÿ¾kÛš…ísSªFuž¹Ä_˜~Žš-^m 1S†êTŠ•;¹Ì¦:ïüW¾]F'ÏÚl¶ñÛ`:~rÒeÿy‘T·¬ðÌï++¨Ö*¿Ç"T[Î{òvUKŸQ¦!AÇ Y0Æδ‰N\”q ~)ÕTüpkÚx:ùºâOëWª!];ÆI•Ž?Ô·À*ü0ø€JÕZ ¤œ\<$OWScÎ’óM_èY¥—/¹ûéÄÑÛbÜÙTkŸ‘r¥Ï<ª³ªd§^\&Ռݴ¿®*–œ’|¨1†ê^4dVw3Ö|Ë¥ ÆÐI.ÝA§5~•nXî€ã|iîöpÑWª5à¹ÙV'E:q‡DHæªÅ:++¿È‹ê~"ôäùLjð6ôëÚ•’t†lÝ=åáÃ)mË6ýd7˜Nª»ô¼Žj²­ûÿ’ò§“bäÒ/¹Lu6K¿l.² º£\¯¡ãEònœ÷’jÊßÛóAs,èû!ÿÀÓ;Tgûæëf’tÒëÛוÕSõM‡É„ÑtòƒÍYy;úPí ¯ï­Q¹O'æø r|ªDõŸ^²ÎöÕ¡ãG<Ûº&¹•N•ê·yúA:ÖÕ€wæRÕÜ3ªfÄ™«T3¹È?É}ÕñÛ¢¨0„jx0ÿèêù|7aÕÛS=ë!ñ–TO{|ÿ2£¹tÂ7Iÿû†ÙtÆ/ +¨–Y[í—>tœZ×2냟¨öËß)‰ý©N#»e(Ô8¾*ÿY0,³=yß-ªÛ¨Y ÷b<Õí{©Iñþm:-±eN€ òd«}]Ȳªý:`vrr,Õžç'·5LŠj×îÍõøqŸê>vcV°––v©p„ÕëÌ#tÊU7eòdTÊi&ª£®mow™Ìú1ï° R•[‘cΡãÞfZ~S‡jte¼öNšI Ê#rÞg~£“ jŽ÷Y;‚Nh?ÝÙ|5i%ÕV“ðx“½‚Ž¯Lñ©[Dµ5Ú2w(~¦z7,uÞAuǽþ$’æE'.txzh•6U«>%m³¨ŽN>”•makCÕf/½œ5+‡jüHø¾àn_§¸_Ìx!Õ™b0fê=à`ļàïT«õ¨ý»©™Üc¿!Qåtòε7UÅÂ踩"ž×÷=¦Ó¦9NpÚÙHÇííx7eŸ <½B¹\ uà눳;·_£ã,êgø‡õ¡ZñºÛ‡Q@ %ßþT7° ôµFU3àᨗtŠmýYõv.ô5ïÌiÕ:ÉÄvÅÚ-TMß•a{žêÞÇü«ª«Õ¼ÿÛätœU˜|ìüÕTgy»‹yß{túÈö]±T7G¦ëŽùU:^ÁrÕÓù¨fñmÙW—m©ñsÑ*Þªó¦6¡»fÕš'w†¿y¹Ò$~Úªa.Ó1;ÿ)³â…‹„M)}ôÔ̈o©š£ûp>…TKÿ‰tâú1TmàÕë?½¡ã£ZOÞG§m‰¹yó5ÕÕëùm’jº‹>êFµ·i4\K5fîts¼s‡Žï»jÈyYOªí² 02”N;{¹ãÛp:Fë™Å®/ÕZ¾òsüˆ&ªiºÏ¿©þ.U•˜`w."‹NÏ÷ù{½êœ½öZŸõYŸÏû3½÷ÚV·¯~÷¯–£dl+NS–´$-;ÓïÍ»°ìÂ$öÃKj0Þ¹õC«‡àqpnƒðg°'®½óÒʦ’½õÖ÷d`úZÌy­¦Ì„ÙYYnÐÙ¯ÀÆÐ †Ì÷ƒšw`‚å‰5a+`jskO”V5,¢ë]âÜ·Àª~8¶Õå8ØR2A÷ ^Âb‰D1=¹Æ•Óº9ûrˆ})þøqņSvgŒ?Àö›Méôp1èÊ¥ºß´6„åƒ@¿J½Qâw|)woe˜öLû^? æÑ•\u¯è°ýJ²ú¨JØ>š»k‰`$̶Ùù¾`>¸è'>a#, <¤j„ûaÿ¥üÙªÅÉ`/<–°Ú´ìäÁ½üz½°¾pÿ±Lìèx廬NA<ƒ £q-7$Å£Á÷‰öJF/]wµ4ŒbœÃPEâÞ·°0/giÊ}…£ëŒûÑûÁì·Îsä[»½1c?LÂàEöÊu­`îN:¾?l´¯îA]€»wÔ‚ž˜^;9§nã6^²Ð½ƒ[Ç+·Ëî„QAÈ™ð¯§a^Ñô½ox Ø89àb­Û )ƒëz`šãò½'6"×<"›vÁˆ¥˜¤˜+Ç›C³ÏˆÛ@C@ÿÖàA˜Ìÿú\\Ô3Ïån;ý—ÎÏŸªÿ.¢0¶™-ŒCÊ»–.Sš—Oœ^Ø/x§_)®„Îô©Šµ™/aܱ´m!X^}½/7AïNþ´)õ±0ç‹hþ ¶Ÿ¬*ã«ÁºQrHÈúuBáYÍ›avÂõS¯·‰w ÝòEïaÂC-ÚÊw¬b¹-—¬WÁPKoLá0™¼®s°v?÷â4iæ9ùN;n¢»&_³HI‹.=M˜Ž‹× ½zšieÝ?ÀÄ¿FkÞœY0qöΙ>=úéUEy+0žé°ç¨}>؆††ÕÛ`0½.cË'˜Ew6=k›Ã ~€Y–©uqºXm‚î)ÄÏ\ý`糋³Ê”7GÊzaœY{ñÇõxè͵,I¯‡Ž_ëu™ z0X¥ªóyläîS“@ÿ½Ãêb60e³ævvχC±,}o‚LϼöÊ'qMæÖAšÆlèœË>Ö}Pf+/i"qvôXs% ºêð¸Âa÷ÅD‰¤Íp‰ KÀïü›)­ù¬ý¦°N ?¡` U/ÕŒC%çý³ˆë0ZU4ÜÝ]‚¡wbþœ¯Gº¡upf™}ÄBè÷NV›½²ŒÏ²ëfM!~¬*,¦ ìK‘þy‡7Àªü†ÏèFULðÖƒ©á+E©Øzè—å-{]Óû…?Îé‡ÕھǓ¦B¿á=ã{ÿuÒKl¢Ín’ÿܹ7œõVÇòñ$RЙý˜7ßâ3 ÌìmhÇF`æªH˶¸†€f\¤ l׸È_³qdÒÄ­¯¡kÑþ¥á³?ŒÊ¶Ýœž1šUŠvµ Saæ½-Zÿ­ ˜_ek]õr mEÛû,É úì)'„­ ¿O·Œ%x°xܘ't@ÌäØ þÃr0ŽÊÐÔÚ@ìû†Á ¢)0g•xR†ø7wjMþi°Ö} †±ý*ÃO9’0™ëáÕÒÓÞUõéÍ°>]ÁÚ¿ÆfêÏwz½„¾þ‰ó¸9ìo«Ûú?e|ÖK«ˆ§û V¿"z‰ž½·nÕ ˜q§*•äÕÀ4^ 1†v£>ÙK¤J1^ÑW;`•2Xѽ•{KfC·»ÇÄpW"Lg ätYÔÂ,¦sèˆlZJÝ/ñ†í±s|!Änß|˜ ¶­ ¬Ù 釣0»raŽpc+LuEmš˜`UyärÖ[Á¼ÛÄØ}˜èsKÒ矗Ûƹ‚üÄ®ïv†2&dÂr Ï{›¤/;8 ¶“?:7TŒñÝg)[pOد^óö­†`ѯ½c~‰„E¹á~n«~˜õˆìÝc¢“iŠ=%…/`žVãÑÓÓ3·¯æ#zöý(Kýy=ºÁàê,aµæ0÷(Ÿ¬™³N5‰Á~‰„^D…<ØIn’¶B/Àšºéí&˜,TŠ'¡3iË ÂGX°èÙVöÔó3Œº_HÄšŠÁ€"á Æ18ßæ<6~ /»¦o€I UÔ±ú÷»y/8óZBnâ)-XßÛ3ÂV…Ó‰Ó¶ÓY/Ûv}/—&¬“ËùniÑƼã*S`½'dRÚ"‚±þÇ•kvòOÊ^î¹ L–µ¯ñ­L„YŸh2ÿ•­`7d?+(»ÍkïÕDì#­ël|LÞ:lÓ!ÃEœ¤SÛ`Þ9ÓQn?Œ4=7µæ¤ÃdMÂ9Ù%0}kœñI$ f–vY ®GÁJW¿{—Z8Ìxgž4;¹ V¡Ò‘7áxìZëÄ53À^{ѬDÁŽÐ‘ÒYPIò†‘»3EÂâPÑ“:ôÕkR1óÂ#””Àÿ1üþC©×vg¨n•ƒdÓZ‰!ó}~Ëd4ÁÂüÅýò ttÂ8{¥ÍŒ×ÔîkÜ¡ý™úi£0iè“YÀÁ“Ó/<¿Å‰¥ûSï‚Ú ‡ðE< ¶q¥ìãm2¯ÕUEмuµÔ€ðó9#‹Á—™0íŽî60§NÙLe=‡p -¸DèÄOí¦m÷©ƒÎ ‰³Ë!#ˆE)ÛØYÖƒg×L]:Ä]²Îh®|玭þ³!a2Ó¬}~'xûz:AàË+Aw½[à[ÓµÃvÝðUql~´„Äò/Uüñ5à}&› W< âOO©š Þ®ÑêÃÅ×Áù¨G{È’O>nžÔõB·çžYIê3#~÷É~±à×w‹nß±8ûü'—Í ¤)¾6° "óC*fA$¹1ÅBù%TÅv¦¤å]Ä×ùQãY(ÜMßÉ»A¢=Ö¶`æ§3Û ²qúi£Èë¸C;:¯â©‚½5˜¹aKïBHrŸ8½ÞR’ö;yrËNCbNnÔòv ÒîŽs eÁ“ËÞÓ#;ü"^‡<¯‡Ð£ž~ñdˆÎZ7cmÝz(¬ÍLLÍH…Ì«?öplÝ´®Ã:AyvVÖC&~$?æ` TâèvÊV 2×ÿñåUª¶P_R5ó´vžŽæîóœëj“¡XÖ:^[«‰è¯¡ÜâØKH*^¥½ÊúIkÙ%½—!Ŷ~þu›¤§_]ŒŽÙ†!üÈ¡;7}2$¿6 NÛ“ i{úÓÐ#ºÝ’^}?´ËO®çš©§æïÓO=‡\ò”Œû >yûôrE(miÐäÏ…°'ÃÔ~ó&ˆ†=oíÒ#¸Û»p›Ö½=•J˜²_mäÞ&À~ÍRHE¦Ýœõ°º†g½ûœµ ;¹/¹âµÃsü›û º7½ÏŒ·R‡uö °Š¡ Ä·æNÅ!È„ußðâÛ2¢®%¯„ì`«¯g¹'¤ê_t œ?yÞø&÷—ç ¢îq)LŠ£O&Y´}‚œsÉB"g;ñÌ>‘:¡œùÞ—!ÓP³yÉodVV1=ƒ¿euDz“ciJ 9¨Ÿãë,ßó rÃË.²BDtý—®„]PrZ+_j³•»Í$oAÁŽû~;ë¤Î<˜-V¿BK‘vYC¢‹=·egѾã»|6êøO ¼¬Ý aáÇô„‰þ& &†t»@`¢½åöE`vfÕCÃ/d¾Õ點³¤@÷ŒD­›JnAÞSíjøS{Hë µ„Aâõ‚Ä•u' ÁصÑsWhfã5ÝÊ„!luxæÒýß!Vï,gHäxeq¡ÓÄO”÷qºgäšÔÆâ¹\>gþ9š„üõ¹$OX¹oÉÑC× “6âóÈV S\¯ ÑŒ¡ô|Ÿ¹É‰{µKH¿Íå³o~ý€ø#{y–t ûxðåG(D(ç¥Õ÷B@i%$©2òÙ†|µëWëxÈŠW?Ójooeÿ>Íp_¿ãÏ9¾‡ø§³¾P„Ø”M\'Ì…ôÉ#Ÿc%¡d^z›gÝ(D•±Ë'¡2Ò–µî¦‚‰tž“æ-Y¼Ð¸+A¥›§2¯=„x²¨ëZ¾càg¨Ó½·;Cæj÷&áS1ù`󬢢¢Å‘ÎB<\SùH{7_ÚÁ]qJ_ø?æËBÆÂy£NÇpí6ªJ¼ áÖ\G;‹0¨*}ëûx ’­½ßäÄ@²xÓò;U\P›nÐéÞæÁjsvµÎsèôØ{ÄI"æ:E ¥ùý±{Ù¸v6{Ø^«m®Ü[GÒÔ!éö”º‚îø@´è³pk”˜†ºçLk‹ß9ÃI´UÕÉ >¥æ¨‰émƒRßk÷Ñ`„ô(ø®¿ƒÃ‘~ƒC:éýUôú+ˆhç>þ@ò|Ó--7ë×CÒYh4Ûâ54‚Š¼¼,ÁgÕ›÷^Ì€ObÒV¶à1qöš>’|1}3B °ôͦ6‘Yà.ßÔd‘âÞ.É›å¿Òs'î\˜qƒ{Œ£f@ÂëÖÌŒ§àëKví‘IŸ»l‹Zd<ø´vl½'f¾eë"¾Ó!u®WðÁ(îMÉÑ놰ÉlwfÉ2¬ÏÕÉž‚Ô»«j½ CrÚ'…æ‘Ã_¹ák@F$ûZóœ\~µÃ¾99!rII•}Ò¼‰3£Ø+ 5È·DaE;Ì›6ý0™·û«mVBôrÝ6•¯ÇÀ5á>óþÓméØU¹æ#ñï{UC7쀔°Ì»èÊ¿~ÝxB4&ô‰N€PKWÓý$_ ½cÁ·m2T„Âê”ä¾C0ÿÁ=»¢0tžÄg°Ò â§}ïsƒ´¥ÚVç:gˆ³iŽ2Êuª?|…ÄažÀé9UظlþΧjóݧ˜¦Bè|šñ Ú2ˆ¬“ÓËzZ­ —Z¥9®^ûRÑÊ( 2!_\¦7J€Kof×Ë>Gh¹1{Ý®]…ð^C7«ýrŸ6caíhÙ7i?U ¦Æ.çv—pðnº»ä 4íøÌUà otÖðfqéÿVõ¤ëj‡ÑÅ›"ºØåàsÖ`æv¿ÏÛæ‚ÊÞà;sOcw·Ã·Ýaþûo¿„À^—µD~ìlݵ«Xü¹öK®ûCòæ»Ôû&½µíÜúÝb=?`ûN ÒÚ+^­p.€ðQ+È @Jë:í›Ö(ò EsdÀš­ØWÁ‚´Â§—ÅHþÇÉiñn‚LΕöóAÆà‘d¶¤ øCxût…K±9ÄÿsÙôv®oÓ#]%z=Tyƒ)ê€;ëX¢é1^ðΕûw¢…åc›¸9|±øP_ÕÒÉ{»dW\x þm9e×zkñróø/®H½ï¼þB}ÕNõöÏ¡Ìy:]å“Á»¶UÑåûàïØ1«÷ DË*ö'Bà[‹ªÝ ÄŽ,ŽœÐ‡P¸Rv¾…;ǯ[ýœ¿b¾ïšÏÉyA:}¶µJ|1%gïÈC|Zgë %êpv †øµþ¹¬ûZ½eûpѠÑw/‹ëJ °‡ð†©èËÛŒãîCƘ»t·À{ðÌëÉß ÚáÓ+ésW€7$EßÌØ</VÞ¾©¤0·UºŸÃWÍN<…¡k«œ ½li!ï©kð:tBೌƒæHU‚×Ô~5ÿ ±í÷΂—÷è’6« P½é]á#ø/V½™ý·ÑÆ_o³ oäv&¤*š’õ†Lÿ”¥+ vB]€V¤=i.ÔmŽJ稀ß>¥aÎUˆ¹?x2|$ \_æ›ø5î„ìÏÁðO!|^{SÀ;=äÛw\à$ò’fk‡œ_D@ÄfùàIs L˜é¡;óD-ºÏn—î$yWDØ%ª\®‹#>mtZàÄÄÕãÁÛZssŽL+LÝ5£Od»±Y;þt2”Ïþt^’¶É÷îV ƒ;‘Yì®ïŽqkßÝvèÙg+ùn`!›å¸.¶°ÀßÈótƒßx§”^T†Ìó'z³Bz •0?Ðós´êzçnßóü9/V_*„\ÕF™ì÷Ýa$ý°J©‡¢ÌåÜóÒzà_!ß÷õÐÈœ-Lk­v‚ÑçŠö-‰J3¸p4r6uŽ:/œ¤¹Õ¶ó8ÓJ qQ:³pö[Hê:ôt¨k[ÚxRN­³3¼èPôro~~¸’ ¾åWFI¾øòé3¹MP?¬tñ³‚.„Tº¾]ó¼Ÿvn¿Kòîò{…ù!=댠oTÇß÷ú^KQzšeµ¢’–S”ô-ŠZCê9ÙÅWŠ2S¢¸ý-)jåwŠ²%ýPÔ’³ul 徟ô›|œŒøy¯¸C,9¾H‰\¶¡¨)¶¥ZCQ‹ïd¬¥6EmS ¨õz¥<ƒ¢l?STú+Š¢£¨dN™Ù¥@Q—t)*q¢Ú:Þ³½~E¹Þ¼¢(Š~Ÿâ­o§¸"QÔ ŠºO ¬¿Mq+QÔ¸÷„¯=•NQó¯RT\!Å}iÅu}ÅUŸJQ'Ì(ž³äs×\Š2‘¡(û-e-JQúíåDøö¶¢¨…SÈ:[)ÊÜ€¢*RÜÇÈšfÚm5ÈL¥&EQò„×äd½¡·…<Å3¸“¢B®QÜåÕdÍ—(J®‰¢f}¥(%^Š:¹˜âºOQŽµ—û2Š25¡(׊²Q%ó’qŠÕkLñM{#OÓiŠJ»Iè+S¼«ˆŒ>9µ½ˆü<(*_™|¦S”›EåÕQ\ÓG(*È4‘ÈiNQ‘’UHÖ2›ŒÏ–¢¸ªÕ(j-‹âžEtò”¢>¹S”sÑG¡Aô–Jä#ÓMÆóQ\e)ªâ E%$S\jŸ߃—‘W¦?™+†¢üõ‰,o1×(Êw"Å5EQ×QÔW2ßBeJ€%Nqe?¤¨ÒWß3J¤?’¢ö½èy×®¤¸æ,_MQwH3ÂwÞ4‚±"ŠšXKä°™à‹|':d»ñ_¡d½lÂcXEEž.ÞOP<›HûôíKŽkD~>r~”¬ç#ÑMÑõz¢ÛñcÕwüa‚áXŠ+íEe|!øÊ¥¨#Éå7†W¢Ÿ²2WTáÓš¢4Çî6%v@ä5QžèÈ¢Ôe)êÜŠ«"‘¢Œ )î¨2·ÅÍM°}Žôõä&r!kM0"º zï!ô ‰ŽóÆî×÷¡¸ÂˆLçòQüKÈ^kŽú‰N‹)jé_º•¢–ž'2®¦x~ó×^Yl›zST}<Å­ÝGñØþÌ…(äŠâßýóYõ ².&Å5ë5Yï‚7ÒGo2%Ü9‰ð"Hq½/:xE-{öãÅ¥Iält‰âæ%ú»ÜKQZ!·/ù,ð§$½‰mzàJøÔ¤¨©D§êLŠr‘¦¸/WQ”¡ãžOño¦¸MŸSÔÒ¶Õžð¡Lq‰=´û{Nñ|_Gi4“saD.A‰MRTU9ŵ„¢®_p8‹â’"XÎÌ¢xÉ|a÷ˆ­ºSÜF—)î ܇ÏUrîÜR'gQrlŠ{^¤ðE}!k`®§¸rÆ0ÎO‰;Þ7ESÔ¢ ŠË–Nq}'òÚÔC‰½%8YH05žÈu±ç5d|Áa:éÓEä»èÅeZNp0Hñ€ØùÅõ‚Ÿ`5€â™Gñ_”‘Mñ|&~î7ÅÕõˆ¢8DoÅ&W8ù>î%X@#vJQÑlŠËšœc‘¾[ˆýzL&6E챌è×_žâ"þs+ÑÍ ‚ÁÇŸîRÔ`.ÅÅ"¼=&þæH Å—æ@ œ¦x4S\J‰-¬'’sú§(®ÃÄO´Q\ˈ?\_@dJpæEÖ`MÖhGüѶ±g‘„(FÈM‰ý¯"¹¢CQ)Äîžìš(>b¯ªÙDn;^’õ³%¼J•P\^{ î‰]V“öEKˆo˜J0¨@ÚQÔwâÓ<çP\/I p른b&û"ô§hQÔ<2Þ‚à°ž¬g á…`„ Äí .rvzdLÊ!Š[I‘âR¨¤("·dâOV“øð˜ø¨qû)îbOæQÜÒd]6dÜùÂËB².‚åõ ¢s²7bÇd½A$þ8“ùHœ2¿Oq-8GñŸx”øÄÉ÷(n{ŠKeðï÷fK¾¹Î¥‚+þšàSï Y+ ÎÎKÛœkàµÛ˺¥« œ¢æž½ÂI{Ñ­M#zà¤V·.Øûï8+ Z¼ƒ;òïæ~'§[H¿U#êKãÜÀÙÃ2=^•Ÿ“CÐ\à­¾Ú<ëŠ8[.M ;ΆžÄΉàÜæéìŒ*8yCsÚ Á9¶©Ì^:œÝªoæ Ágâæ«[‚ÂÀqyÓ°s[áÓÚyYn |ž¥¤¸;¾æô5÷gïô×KÁ9ň±8pìãÿz™œeã'‹E¹Ãç¡ÎGÏòvp®·¥†}:Î!ñ ÆüZpVVJ:­‡·YRP¦A8ÏíʧÌîGíôP2®Ã©^æ8c—läàeóç{¸S¦‘”—Žè¦ÄùQD.À}j¨>9>æ5ZÀçkìÖô¡pæ¿~ô ¾ 7Ûü…áÄ'±óî"x¯¹–ºc–$¼o³žºÙ̂ן÷$p®¼õÔ‹?ïKc¯WvÇsœx@ø&pfæ·©{Îö£Ùˆ>n½Àœ®šSaRD^<™&®3½®p„g8ë8+§µ/gs~òž[àl»-ª:ÿ|Šk߯õ²‚a·`Žôxø|vž}ƒ¬{ëNWégd]:‡¤µÀÙÕà¸Ô#ÐU0zSîIôÒüÂbð¹êÜ%r‰ NÝø¢²½à|’ÌÚC›o£Ým'Ôgƒ³zîâßÁ™aoTʱ'Ý°tÉ}pÄV(>V z’y{j@œõ‹?hó¼ç„nkí-8µËÚ“qhEÎ?‚‡n×Gù{ÀÙ×{êÁýóD÷r,G5~"ÒFÒOe©ð•nø<®]¼t!¡³èÐ+ _…«÷:‘óqG…¿ñü§jèˆVO 8‘Ê¡vƒBï˜s–Èuãò¨æCïÁ™Ðùžu_‡à 5éì^{pv¦® í"ø±½’®?LÖU§¶c7á3¸N(ð·’{•ýÙ'?ß#ÂÙl¸•âŽë†o3 Þò5ÔÇw$öa]¾Ãò8^S®øªÎÁ¥#¢=§À‰2Î^y•Ð…÷ö‹WÀ)8í—ëHô·_8ºy)|<Ù/F nç7JziÂA+Z¦Jé_'ýåç=2%ò<œ«ÓÛLÚÏŒ°– ‘öcÎÊ"ÎDn½ù|Ó÷Àçæf¹W_7yÖ¸zL&~àʬÑÞNpªm/5n"vBKl˜:Ö…”Úb}¯» Ÿ—g¶o#ö6(“ÛLì¤ëûêOßáó48IþA>Áß×íºbøøÇÙL%|2jÓï.ˆ'ý_ØZÎ9S>ãe“Ö‚“ûnŠHÑ×úøø” sÁ©*Ÿ³k¼|Ò†nØDp¼¥Ùöc’,|Þ~ý¤@7%ëLàåÙJüF±Ô%í r~gêò}þ7Á Âg…vÌZêÛ¹;—Ø›ô”Íw\SÉ:ªœ ®Ûú†[»ü¿¼»xF®!öÍ[¢@ü\áNÞà°éDŸšïÊg£À­{Ë€Ÿ 7¦¾'ú96.dèÌpœŽVõ¿KçäeÕŠc‚·>‡U©Ó0+c\BB!È9@UNh ÁíGßõ’ÄŽýÏ5׮ϙ+T÷[bæ<^1Œ»Ðüi¡“Q4}éb—ªsj€cðé Rdáçžð“UÄ^Ø|± ³:Êš6=Ó§†i9Wœœ_¶Á%Uà¸/8½ø,‘Ga®ø¿yðîK°XÞ( Ÿ5+ßþ§òMŠ5›àaÁñå{ ncm¶,G9ºÿj¦<8Ù»b/U»¯xwýVÁÅÞ¨‡Æ× ~ëËÃî.†Ïº±G~ˆ]®}ÿúôsup.»UÆ!vpˆ¸# â÷×­;xµ³]Ú e¿KuµEȺjö=üNä~nqõÚPb/™ÈÉç½å*Z.ñ6ù=G½ˆ}žî<=¯ŸôãÞµBòñ£_$j¼#1kêüy»Ý„ >Oxp]j§eÃÙi«®Â§ÈÍa×Lâ¯Kïï~yù8‘ãtÑ÷†Äÿï[Ç}…øœ ¯l‚Ëã  Éñ‰dGÙ$®ÈdIœ=õœEKëAüÚò¦;}b‰~’¶2*7ÁûI•¡¹‘ç¡ô¨I“>‡=/|<ã¼öÅ9¶€#?öÕ ‰ÿÜþ‚õ¾Þ¦OzÃ'qÒãëAð¹1MkO£Õ¿Þ›Í‰;›øv˜ÄËA6wÞ¡“į߽0Ëë2‘ƒÊIŸ¦FpîxwsEÔÀgÀeìE´$®µ¸på‘O†Í â‡J ü’ˆ\^ýq&§Ò~Kq#ñ_Q5‹Øž« ÞbÖ*Ϭû£©»¸‰Ý–Š_ZjDpq.Éj¡_:óع{SÁ9ß?æðáóã|´¾r&±ï³åy)!àØ>xGßIø¬”_5.d%±êWFµ{ ~%î2“Éù‚°fF>‰Ÿ[üböœ'òÝó*dã5Iâ÷oÒw9¼ìøþžÏ¥Žè‡^~%ùõ¯­F;H<ªLfUf“yŽOøªOâg}³aN:Y÷îyGNJGpÅêåd]öÅ<.Dÿf]‹vŸ'<öèUmâßö¿2¹*¡Ïû‰ÞŽVv Ъg¨AüëÁÅ÷¾lL…ÏmYï[Jåðy}æ`{*ÁÃü–¥ÉÚ˜5ÃIŠàs—Èêm'¶~Ú%JŽsB¶U^'r0‰ÜòiÉ+ÑeEÚóOÅN±²Çîä§â™Ä/Uç¿_§ÿœ€¸oöÄNª,Î[DìS•Îyë("×aéOžÄoJÿq-gùxƒ*k2_ˆåÌ=¡$oêÝä)xzã˜]Ì I%þ 8o³þbâWRî>V}þ’ÄÛºãN‚Æ~Ì$¸š3БAô~åÇØÆ-ð¹n¹ðˆ,‘WT¬Eøù»à,œp´½Ž œ%Äw¬ƒOh^ßu¶±‹k %ü$n¦xÌì&vv¢óƒói7¼×/vÈ$~Ö&yOH ÉW*.±ò$~§º¤ yéRBoÉËWð™.~þóJsâOº7} ó g3‚H¼™2³9v]:ÉÇ7Ú&’¸w/Ï<³wx3¼M$ÚÕ¾ô¹Ù<<¾L>CŠ£‡‰žÎˆåí$ñzŸï|ß]DnM©O>õÕæ0›h¹–LžHp‘v¾t·?YW¦“Nã"ד§×”G‰¿;ÁA‰è«ì°ü–]_[u‚îZ“¼êbÙë%-ÿç×\¶Ç¬â2/ò[Õ™}ð ë”Ù]Cp¼æfÁQùímt~âOíÏžh ïǪV3ˆ¯{}Éë?­¾gŸŽ¦ŸªrÁï†Ú óùdý±k×FÝ"tWë?au¾DefSrù=Oñ8âÇï;§JüÑ®w'#þ`¯ÎšªKä˜Ûyìá8p8gö¸žåÇêà‰¸ Ä*ï%\Tý™ÕÜ‹>…›üW‡µ„gîƒðy4ødz,œe5Ž•"ǦO"ùˆ—N¥› ‰÷¹»kl&ùPß–‰ëˆ}ž¯kѼLðäSi1ã-Ám|œí·¥Ä:Ú|ð=Nð1NYõñI'_í]ïŸk*…ªs|Ÿžáo3ÿÜ=¶6¼ï§m¸àà Ÿí£ÏuÅHž¼iϽ›Êd¼YÈòŠb’/¼î´Fj-|2mæ&<$z® óÞFä²E|‘•ÉcŽFÏn$~)éxú–rš«XK>÷™[øZ:Çvä.ñG‹;?ùo• øº´-ƒ¾ŸØ«ÀœWDog=z–¬$8Û/ë:Ùq>8³&SÒ$mµ2ŸtœÄ¿“y™¶Ž$/™ú§Ÿ©½1Mó‰?6 )ˆ| #—Iðn'|.‰ø«m–óÅ?É’|mËÚ?’jw0fÿÕ–5/ÄçùV2ù+I>2ýij™ßˆ®ë€u|²¯¹>'~n1ÿF»/Ä/î +KšXNüjÊìIß~4pHž°2øãoóå“m›HþV˜8õƒ·/Ñ[»âÛˆõdýµ­ÚÄ?zé/3Î%ùð6ÅÐÔ¶û$¿“¼4Y“ä5i›W¬{Fü^É!E®¥«ás÷žÖíç$¿Ù˜¢s1ŠÄóÊ… &¬"8,¾UæÛ`ŽœÆô ÂMuSrÖ'ø|µ—£¼›úÀûÕö"t#–³b'@óÇœ ÉͯÁ²KOz΄V–¹¼€nÌ/ìîsZ¤£ÓÜ7N‚Å鉞%0–òO5Úê åä²|º0»»úàçµ±ÐÉ+Þ¸Zí lÏŽ­®;½ž†ö)= ýaRYزZh…Õ¿é}°v,nÑIuÐ7K¿45=lñ"}Ï% /136ˆˆ­ *6» ƪ ¯nµf@%¸§ ] úEoö]>p"r2:© `9Tº²+²{·?ˆ{øL³×<œT9˜u}ÊéMYͲÁ±›“ µ/}Æ ½ù`l”J×›8fb³4ä]ê!2tÝnéã9Ð9oÓÄÔ „^Ú›{×C?fHØÜ2Ì£I‹y4ÕÀPWoþLƒÖÅO¹v‡aÌS¬ox{ìúcW"G@Wû:Ü6ƒí ?ŸÑ‘q°¹áµü $«Ôf‚*²ÙÒª ÌŠ:éÏõ¡úm|ø¹åa(æÆI¿Òrz3C¯Wmi€ÉÐÏgþlX2•5y°7ÖÒÓ8þê?ßG&—ܾÙñv`½/¹{÷Û褺mKu†Ilöõ¹±Ò “ÖÇ _®?ünmØˬ®míg@G\Ä̦Ÿ mnÏ•æm¡;ÀcZ¾ôÛ‡:@kBO…AÛ5˜ê>Ú“?oŒRM£j|½'%}ªÕ10HÎñX\wZÝîô0' )%Xj¾$ÌÄÍã‰Rc@¸±¥Ä Šôu'7´½‡ñÖI뤮wCÛŽ×iÕ£f¨ž·tÝPS—7§ÆiäAc‡U={O4h;3¥—‚&Ï·|΀~büGÞö4(çµ·ÚCe±Åª+ÚEPûœy7eùhW]1Yá mM;K)s>èTÔ›ôú ­[ñ.E§.Ã4yÎ!·"ŒåX ÷ÎvöáNh†¿´hƒO&²Ï@©-Õ¥aÖdbGÑ¢g½B¡˜ûô`¶6ª,áüÃÒý`ä;&„w“W[Pwô£¹¢ykÀp”n궇öQá*³—Ò O|¼˜ËíôõšU–‡]†¾_QìD£“=]Ñtw‘…`)Ï{ÞǼÝг˔>tìÏèIn]ý,Á oSYPLŽ¹:kB;Ô—½hPêeƒqÀnçÀ¹*Ðr{מ™—fµx©@UŠÓš"bÁœ}7¹ã+ñ_Óe *K`úÍ.=[òTÊøöÕƒ^«h6èý»_“<',‚|ַɧÖ„¿þPƒŒŒâ¼Î¼©©…Á…ð z ÔÈcä_­þ37§vBwX:¤¢µ:>Ë‹Ud90 YÚ$œzZÁ1Ùç¼/@Ëë¯CÙs dtB# Š^ªF xÂðÏŠèe‡!?yúf—tK¨·8Óp²½}ËÍ&zÂŽUæ;Ãàãá›)­ 5òÇû8¡ÿ>-=…¶úó¿;Řó}¦ëÞ^: vË¢9׌ŽC‹jê»e1ô$RÖ,ݽڧ\É`ùóžVü›“¡saP¸|¶ÀqOè\h¿t.&´›B¾n]c±GZ80‘ù™¯ZÕ”„9|8EiKÏiìÓ04Šÿ±†6;åôæ¼ýFÍrö  Tíã—§7BS k[¡«ØIùwN™ÂræU›órF0l|z} õ4••Òw®Á@O#Ûoe5Á£Þ ,„Æ•] #>Ñ®Ê ÁÞéð²ek>˜^ž)¹ƒfŸ.^…‰úzê] ÖÝ×Æ߉„.ÿå×ãmÕˆ\4¯³žõ%¬Y³\m´¦.yºzw?Ì ÊeJµ`ñ&Sb±2hÁ*bÎm‡‘êŽ7ÑоY?Óà=$3ÙqÂ^ 09z!e£ùf°ÃÜ*ZÙKUÕC`²«êë©Zгª 7®ã†F˜ã^ëe°‘J7àà ½Œ“ÊëiçÁdí 9“IciÜhº²—NƒÑ^Óþ Ž0LVMV]£;Ï(NÚ ãÆA–£ŠU‚%âDîOù2â—ëÀ¢A×ì[¥ôçîøt“UÓÜ{ž)S•`r3Á6Ç!Z¯íøÂÆAá]€Óá¤q0 »Ðe²êLÅžOÛÛÊ ‡“E¹{æ‚ñ`™ Ú½ã`~»Ä»|Eðw`6³žìíšÚvY`üyO¾^mÒÇ;Á3aälùdz¹ºžÑoúŸdÁ\²vùã70t=¿åäÞÉ°Ë22‰>vz³\5™ `Vš‡KÜÍ[]ˆû!Õ »#Áߧm-†’̧“ÇOÁ$z’G‡~$ <ŠŸÔ-º†ûXúî¥á›Bn‡æþ ѶÉ@¿Ãë1÷³Zh†˜¾¹ ©ÝŒ a•\0¾º:Qc^3‘CáíÚñJÐ1zë2SéXÙˆ¯él€æ±»&9RÐ\5ÕlÃâÕ¯r™1ÿ^ 4?ßyeý>šë5­«[gƒm!f\½¯O„§÷‡â+7 ±PX.‘í ꀼEŒñAI^h} Î [ì“”ÇNe›G _xæxª\ÔTJ/ŸÔ‚ÔÚm(°fÇ^Ž‹ßÞ •îº]Íy$Ž§]»œ-aãèøÖÕ ñ0±ß¯é¸Etn.oÇY°f›”Ÿ®… Ó¡ÐÑź½?`ªa™Íí^9°Ê±ž:-<Ú£üS?݃öëDÑwÞ$Þ˶ùpIFkJN}É­ûE”ïwvÎ\:½ùÖ÷¤{ŽB^ŽæÉ’[î@«ßF¡Ü",oµ´ã_Ϊ®¾ ‹% oæN‡žã£u[ª`aa_ÎûLæ‚áU%Ä®J'ì¾ v`çðüo™PN¨~(Öú&áЬþ×0“lÿ@ Hèê4÷?Xz¶¡¼k½OC§Å+ÝWþ=´çFÓ„r.@ß_–É`fuÖ4ÃäÜ«-(ŸÍO™ŸØ4u¼Î_FÆ'ۀݻ þíg½ÎÔà1¸§]÷«¯6Ÿ‰óè|g3Á´ßüÇïj§üÅ’-‡ êß3pÉVÛJNº‹ºA)â*óÃI]°8_h}GÛ¡ãÑ2ìùÕꖯ̣CÁ`¯Í~Ú×zÃ÷<¼rnb«;ÁCÔKß²õÐQ¾Ó~½ìÂà9r‡Ö}‡Wpª7tnÛûÞyrF_å$½7@&=cNæÙh¿?]æ¯:¬\Û “ç‹BíK¼¨å.N¼øÖÒšœÿmÎʨ…ò&ƒç’Ë —Íë¿0Ã;[ôLf{õ: ×í0~j¼>„÷ô]7OØ{áÔ ªÞ«’‡Å•îÌkÇǃ«>ç‰/œ;q2ϬA{ÉÓïÊ~ÐÌç•ðµ¾¶ÇüïsÀpúù}Sð@õªWÒ⻡—§S4¼dÚó {ö'jƒWŸMâÖôëGŸ‚U0+ÉKÙ&6µw?f|ƒÉÈ!ÖIÙ L¨Öð~0ì™?Ÿ7*-ytÊzÌ éÍã‚:¡¿eŠ[[yØ>kâ¼™ÀrŠÖîñŸ×€µ³$èÙ§y`™·~˜M?ÇO*^oÀ¢ žÞýÍS\¿µC`COŒä‡‰°l{´`Þy]Íè6|¸:fjFâlg°w944«,íäou4-8ÈhM>º×–·ìü^‰ñ§V ?¾7æÇ— é…ÊÉ››Ô¸ßÀbÀÏ«.&†ãs«Û³WÂ1Ÿ>^å¥#Œ­fmÊÑ‚ÑìFçãë­ 3.QóçÀ64¼ob٘ĩ[}‰Îƒ…šøÄ—»U¡³¯*uîk#hÎŒÛh1Óì/56Og€n4i×m[˜maOñ€T¹ã¡^7av$8Ìãù[¨H­1X?j£´ë‹¬ïÂAõ¹Käæ`È„ÍwÒªkÞˆ{É'èíûyýŽÍ\øiê!HºÎXôâøJhóEÜÞûfŽ/Õå£Óaºe]Ðé؇æx;ÀÒ7&xôà0ß®föv¬U?ίä¿Ëo ³7o þ;ï†ËÙé`] ]º $ûÖ\æ½&×Ϥ4«‡î¥Ë‚½†QvEäó¤>RŸ”eÖžÛ‹G| }+a~_&Zþ–T]¦HÑBša5ëçž&Nvk–4î] gÞ&µKOK¡=|qIü»y$_»pj¤à5L|»ð³¹?¯?ÙÖAßÛcŸÏØ÷H’uw6—Oó‡EGá5ýå0X9#0V»ºFŸ&¥(ÉÃL˜/ÙÚ¥,®ÃÒáó w-jW•ð-X÷&¤i>šËœŸÏXšHò?DL{î)C/¹ËH¬ôƒYÅJ‰—œ['X{ˆÑÕÃøÉÕ¾ÖPë6“NçÉ‚eûé­‰0Ô+϶×!r  Ö̘ “3Ò›¼Ár¨pJ™Æbñ×.vìFãé–6è–5¼|›Æ šÝK‘Ï4¶(÷à6mR/kÉ÷ €~u‚kæ~°–©ìmJ„‘g³èÐwè¤æùç|ȇå@Ü„€¯A0¿Sæ|5 Œ<þh/‘·`Ž‹‚D]64×ôfòG¶Àä ý´7ºª˜ºd­ë Ðët§L­²áÜËg [ÃÀ–ÜjÓº¦ ú¶–ö$OÑó[þ0ï­1ôê›n¾9¦ó1cÅw0·ÐÍñ¤ L­¦õm ŒŸÒ²ƒ|_ÑìQ~ö ôXÊïKÜ ÙŸÑ?iµ1LœOø;/=öGæÑþcµPsË™ÅùÔ–ôÊ¡Mÿ¹÷‹ÎIµÈ3×ÂØnìò77Øïbx¹f@sÅ•V|0{|¥áº”hó?T¾-%õñÀŒ çâÂbE›ç­œAz*hܱ¸=cçøE%0kó›•g SkRÞ‘[@ï:?'ë.LÞØ(z¬P‡QÎÌï?äaPå)âp‹Ô‰e™¯ã_=œ~¦9ÓÂzÖÇÆÍï…ŽCvÄë£{ ‰O¾΀YŒßye˧0ùêà&}úן;=‡WóÝ,ÂgRavþc¨½áötŒ[Íg&ÒWV<+T{—Ê©­`¤ìÙôò!ƉCg7¨F@oࣳŽJÐo׋6ójkwpæƒ3Ø>~`ü6ÐZíé#†1ÁH«:ñF*¦«êw?zø²š‚ŽƒßaÔ¶]nÑý)0Ÿ-{ÌþˆZy“"Fw‚6®Ìƒ7‘Ô÷Ê£3ýä÷ÃDqû‡Ø#™0\Ò‘kÓô?}ó€ö~OŠ#&nÊïÜÿš3/[s냩øhÜzB˜ßž|øÙJ(/œ~Y^{6h.R5¹ ¸ÔdJz†ƙϞRöæ<Ì,`v£F:M¥®ñ«}a"Üq>o–Låò‚·Ýûµwd’À2D÷‡Ç”bèL‹ZÐ|&›…K&ã‡i©6lV2,¿ìšjÕ`ó{ÎsWÐîÀbÖA>×ð0¹±ÕdXX5O½ÓÅa¡[{aºû$˜×]8q£Ž?œ¦ùê…C-yª¨ÖTS˜·Oãz•Ÿ Ó"¯¥ü›UI^]°›xnh¶ÙT¨¿€v–ýµÈ¨ØØù8ç$¬ŠX{ß|³Ü±-ÅÒÁŒx²çÓ C˜éÞ8˜ v„ZÁúú°0}ãY—o “··—šZ¾ß-]ŸÆ™Ã!ïÖ¬‚i!C¨ôb¬fþñ‚zX¸ù°ˆ`FhÎX3lºÊ…CÏU`âtY§Hí,tïª=œÅ‹'±KƒïÇÂénôݘ!€±'5¹0¸ z‡Æ~6]Ö·[e—4 §?Ò‘­ Ë·«‹VÉ•ÂÒ^Ð+ØçÔböísÌ‚ÍëT“.ù0È3g6Ìù¿IÏN‚M®þCíï0 ÿ”¿!÷Ó§‘WœaÕÐÜ:7gtFw>]ø‘¬wõ*ëG.°í°˜znß"XQEŒ)2Ú°Ðx½f£h/æGYë]óæféÍ‚}nï;iªìU&òZËÍa-çz_ë0¬}/êžšSf¿¬Ìñq,(™¼èxqìòÀ=?.GÁVhéíóÉ^°b´(+ÏF¬Ì³×WLûH­~©âb˜ž«i2ÜóºMb;=`(~éñ' &VÞ>Ú‡`!¼h¢ÖW Œâ´Pí˜+°ß˜0zDMæšK..‡ãJݱ÷2`r¯tì…ì0±ÝÅhÚô V-y!Q¦¥ï$ó°[.´Il-þÓ|°¹[Ô¾#mL+Jk@Ÿ³ChãžTÚèj!zjü¹WŒyšCCÍk9’'·o/íí ùU¬êø©°²æ˜/JkƒÉy·ž {äaÔ©È ï„Ŧº‡ëÎ-„®sïAùç`>˜ÌÚawÊ“U‹zÇ™AÏ[—¯+‹ÐówXœ_ ‹÷Þ ‡TH½¿wŠïÖ}BP÷\>oá—AØ%~¸™,´o›¥J/(B—QZ˜¤ë™c¯1…Y¾ä-?ÕLÐzcÄ¢Exdî… ïóöî ¡ÉÙ(Wëî³8»¤m×H¼˜ò¼j·&¬W-×ö!u¦Ì8‘©ã`o(ÝRp¶Ð1MxCâ kxì4¨n Øl=숫ýB™À°H¦ëk×b°Û¼¯™“à®g¦Î4RoÝÿ`ý½ÌuEc…;lø?l~³ä7n‰챨>Z­OäᘾfùpÐ<¨¯PRð4¼EâàÓ¥‹7awK÷ËðTg˜%œæÞ5¸žfc0 üÒÒW˜ ¿õã“bayfN}œu2èò¦Ç3—Õ@çÍͯM–Ê° ) ¿W6çÀìéÅpJÔœXRÆý î—Çͱfž¥Ú5¨nȹŠ?쥑~b1·aýPMï~üèJìšl~Nm˹Þk¸Â`O‚»ÎÇs`(œê™;âö<“ËSºÃT¶å¶ã O°?©÷Þ™ƒ±-lžWCëu%½+ êá±a§œ¼ápi–×eýwÐŒõ:õjç.˜üp?nù%&–9/Î#0ë«ù³gÐ\Í {·—ú·óZÃ`9•ÇÖ•~æ3d›òçÂàÏû¬Òûù¤jOB× ®¢ ó Œr'^ìYà UißèšPì÷¨?š¨Vkc¥Œ/LE‚ó.mhý“£ÿ¯ƒ0K¼ü­5¡“äÊ;ÂXº ];Øå­ð¬žRǯIį¬ÓÊo…Q¨ìÔM'Áô¬åNA˜ÞYr<‡ï´­Î•Dk˜Áá¼ï¢^¿—0òX<³ÕœÔ]i™Ë„÷(ƒ%)¶2Éqt?‰f—.½ ã):‹NI,‡ù––{z™O ñƒqÞˆû=‰C];ó™`<µ÷½é'òŠ€Á‹Ÿ{ê—ôÃè,†çº«~DÑs&A§PA!¡NÚï|vß¾#gš}HßCO²½%øÂÓeÎʉ¯Á¸Sù>‡©ÂV79§,Œ«eÆÏÞÖаӜm¤.“‘©5Áa¤Zh0²l. /”%†‚)ùqÐäŠؘñY™³Ô+ [KâÿR«íôî×ØEÀÂ,m×ñ â°Q–]j7šóÌö'ϼ ‹h=Dë«ü=«ÅÅ`5Ä'ùÝô/mí ßr™60ýf\³ï-Æê{V$…ƒé¹hâ—S…ÿª×˜|\œKï1.øTýw…`T»Ð?.›yíž|föa0'Í|~?4¿ë¹Ý2s ÷`vR¬J8´ÅîÔ7I@§]»©noL6Š¿$‘tzÅÑF¡=!Eèû]^ îžëoÕ­å7Èp¿€iÓ÷y kÅ¡ãÕðÅÜŒàº~ã¢å$@/m¼°&¢c[RC£õõ‚ÛÐ8ö#§ârxLÜÒb›Ãà£Ãð“µ`ôfù ï€ÊónNË’ â?Ë[{¡6UÑòhž̦Oøâ%ëÖˆ}û Æ:˜sÅÖ»ÿ‚þÓÙ!_J·CÎÃäG;uÌב•¹pè*xm>.„ÁŽ;§3 ½qã£ûk¡éâ;¶)4:'I¾ºØVl:Z²Ú<ÏWì³Ë%ÿ­à€540>Ÿƒ’ÖéßÞü€nvüE§º7•Øí^ÆåJ‰¥|à¾C¿š¥ðzÃÜ|- y1÷à槠SôvjÏ°Ó¥wË€úýâSë:Avæ>åtôÁ/Š³í{aîÌ;®ù)ø?Nðÿ\~¬ØI±»Àh©<ö1˜ä~c7„‚ÞsmRÎz‚G!Îkãhñm<æàÓ É»’ýü‘3 [¨²{AR%´ÝJÜêV~€–ù&ÿØËPÙ|Ór‰/Ý‹m—.‡~Õ§ÉÓºC:~X/[ü(Œôë׿¬‚u”ùC#u¬jOd‡}bßÍ[wgAóÇyá…;ˆ|´ž¿³:åÒÁwe `õd‡â!˜V],íQ?ZÌÓ¡ôEoÁš|Ëeª Zõ×R*"m¡9mí…«ŽS¡ýÃg:vÂÛøI\34EÒyÇ}…¡ß¾yì—¼¥á©¤ èˆ}I¾Bò¤±Û:• ¾?K¶ª¾ :ãî×2¶m;ýôþdz¿€ÎõÜ}wÌȘÎí‰Z –]GñÔHÐDŸ£fò+cí®­ùDä _²Éæ!TtÞ/LwV‡Êg»ïæ9P ÈMuUíêø½ÓJ!ûÁwæò£²PÜÏö«&õϽq'óïBë¥\ØÐæþ¼^Gø˜zY©¶ï¶¾ØCêÙë7 ¶ëA÷òÖ€ÓɶPÍ{Sr–5 êG„‹®\™³©;—Ÿ¸ “§7;„³ß@ªlY¬†Ó<(Xóñ&³fÕá´‹7ƒÌ_ö8-ª¦o«O–?íÌE™{^К+æ*ØëGbf«xAÇs¹œý¬}`¶Øœ³m@äÞëŒrˆr 8ò@]Ûêù®åÁÞdãÛC3Á0ß`8g6èÆÇo ·ܚäìkîÐœTxQ‹g.”–|x5:ø´ëµOù®MÝz®¸À¡-ÐÞ)°>²® ¢}œ-‹Ø0è+0Ùûr“vœßZç ‡§ "—6iÜé×p¥šRG¶Þž Ä«ï¼CÿrEyè™×G”o®…BñVöÇ0h¸ßš­5oÆI~¦Árôìì N‰PßöyeÀë2ÈžUYš[Õ”Ûk.…"ô½m/@S4OÙYzK減˜¿8‘oGóqhïwQWp²ƒVþqVïÓRâ7M, Lj!÷¡®ñ‘˜#NN éܤ ÍÎëªÃ>P~ê¨1[,tÿ[ª3·ƒ¶4uv¨v1è¼_u==ØGL°ñeÜÔâ\]½óë€fø#ÁÿR9tŽîj<¹²'loVMsÝ÷VID˜§E¯Ÿ÷÷„ {܉{gBָΙtꟘ™+Ãô<èõË®ëŠ+÷\fA14{DætÄòCmúÏ·[j Ûé_¯±útt>™h‡ÙB?ÿñãönH™Ê7¨÷ ŠG.kÕ¾ ‰‰W#%ž~{§XÇáâÝÐÝ霬;+g\TÆ«9AwVju+¯3te¬Ï®‹í'u~jä̃oa°Rˆ^È^ ÷ø¶"=`¼ÛÂp<˜Û…ôÍßêÚv… ýÐ1o ¼»*ºõòºîØëÛ$A³i<².ÜúÛdÆn,[y™«À÷i°4àÝÃdËAfÐažjd1ôʺ—óAßqš¿ŸöK¨¼¨—Q™ùæBós šì´*`¸ ¬JeË'¯Ta®Ü.?_ïX¦ë^óp öã[ßEmSèŽÈîj²˜f±ù¸¸×Þ°:–2óÓðè?²þã¾8É~s‘ݮЪrú0h2tW¼W3܃þõcJ`—:v˜Ä‡Ù<æá½[À¢*è±[¥¡'Úæß³ú44”¦dd~ÅÄæ/7kº`#­l–5p *Åçlëˆ=úÌ×v©„¦cÊóɺu]-‘Ý vO¸A Ïv~ßççöí$ÃotÍõlƒÑÅI2  S™øÇ;to ;÷t—ÀÎöáàÜ0w \ mç]Áì¤ó0bŠ|¸“- å͆ýVÂW¥Ô÷l Ïaw®C/bö½¡ç¡ïôLuÑ¡›¹Q±m}ž'Œ®l€ÎŽšî÷Ôx°ßGï… %µ¤óÒ"høeÔ•­„ÂÆ wX~†ß½¾k+ a22[þa ¥Ô=g ­í½ûÂû_àj¦®±ËIF0*MìÏÓ=-µ‘æW`Þr›ý¤´ ºŸSϜπ~¿É*þœ¢‡aƒuc×»ûϯì72€ÍùM||ZËÀк\4¶Z3JBÏ©ÎˇWáÌ ]8œ]c­•9rZÛ½OºeÂ8sÛ2÷6`NÞn¿!ë*´¹Žòû÷É€ñxÿËS 2¥ÃáÉÐg0Mx ×ê»@•ÿî£î˹`ئ{‰'’¸>éÞëeËìÀ ÜQÚ 'mû¹¯heÐñ½÷DfõkR{í-~ª 7»Q‹.AZq”.âúªëæ‡U‹÷Båx†ÕÕ‹ú`IÕ‹K÷‘ji/4ÕÈ4Îý645 fW"»„‡B2³Þ1r4„Œ®¼k#ÆîajˆØ÷°õ”Ý}P–^¾¨úØm>Ú×/–hS÷ò¹·¿±!ë|]„uåW+úÖCÿãõìÑ¡`èVûʿ˹Aò†’i±7ûa¡4¶•k2ŒÓ~vKÛ «ê¡ÙH$_ß~û>,T‚åv6C³âæ%gnh-4ž¼Í÷$´îyÞ}Û ýzËï®YÕ´"Á7›–€uÜu½¹pË*N;‹O…d—¢þEú}Xj[Ÿ5¸ò Ý}g™@ɪ¯Í–‘z9Øš'äkÑGh«îÁäÝ#CÍ[ÞUôø¼†žƒDõþ-ÐÛ1ÉuaùÈñòžú"\ š÷Ë?îoeϽóýpíAПÌ=›yr–6³üÒu¶@wZ]ø?Ð ªÉáù• ¡ùVîøåèñÞù:bu.áx X­š±¼µ ZÅk$¶C¡µ“µ t¾¤P‹€c`œVŒ¯_{ZW¬GJ-¼@ßx—'ï”÷é}¸rŠãwÍ]z™ÌO¼˜¹d§§Ä¦? ]¾Ïêjš  4®š”6 LJs¿¢ Ÿ¥™ µ »¼55 ¿slKtÍx7N% ôç©GãÆ1apoëþšü[ ±:ÞI¤'‚îjá°¿§‚Ô[¶û·Õ݇XKðÚzih²+6\%öÒi+þ:K "MÕªB÷•5׈öæ[¶­!ŸÄ‘ƒ»÷Üœ ÚâÙù‰ÓHq6¼b\#LN?ñõ ì‹gÒßÇíƒv]PAqs1”øÏlæ2‡YÕæ†Þa轿½Ä/*þý…Æé[A;žÆÚ\š…æ­ì‚§Ðõ;[n¶ºuW¹:Êý'óX¹À œzÄo<4µ>ùò¨ŠÖ^Òi]0PK\¯¹ÙtÛʧà4tØÝŸëê i¬Ä›~*Ï\û¿¬ …bWcú™sâ [.±ÞÐ?t¿°ëï»à²¤Ã¿PzWþxß&Ê®sN$”ö‚U²@ÍLj<ÚàÊŒ'ø¨©¹Ú@kË¢'‡ù–üëô­iYSaÖS6°ÞÌJŽ³R+¯Û@{éÛC_¡°²Ø+Q‹äe©6ºç VAñÀܘýnF`„¾‰yÎw†Í;šöL]¬1{ŸTdŸ¯Ô‘"õñ)ÞâWդλ9Â0ŸY'>»eO% &EÙ¿¤mƒæg4Ú}{ÝWß©Í#'@+ŒpðÍbÃpa¿_Ê­`tð:X– †ÖÖM08 ¾ñÙ9ShO6{ý¶̇ªe3Í3 âËÝ”s€äuoJ;ÅÎCÏnGÔ£…¯ S“„´üï¥úƒ²ÐÞÓ¹|ù¢ŸŽæ>ê­Yýt¥k`êJ4èÁèä‹ qÅJpÐKúöèÑ-¨î|¾J÷¢tü‚Ë^¬®^¯Je`ù·˜œ‘ v|¦~Õìùæ`w©Çô¬ òé€}¥J\?Ìú'÷?ІSêU5۽кj-ö”Ø5÷Gaÿ–A¨éLz•™4fÜ?÷Jg¶áË%O0¯üü=_'±¶`Y)º JMG‚Ta¸¶ïPʳ!°k9»óµ^qmðƒ4i‰ŒSko]¯rÚÐÑ´sѤv¨nemy\ÿ‘àqÓÛH›YP3¯{ÜWŒ]µ"[Ã?‚ÁÅ"5ãy0z~^/TõËŸ9âUµËY†Dþu¥FŒ¡©6} o?/Î:'ÜôÞPµÄ¼²`o9òìÖX‹tæ-<2ã{ç7ì?0š?Ç“zW›¦ö¥W8jÏ÷÷Í»o5¦E\’ÐýãV©Â(Y8šL= Æ™ª+o@Ï&S#rFô¦úyì3Á¢uÙ2h ·ç°ã„¡›n¢v?Úi>Ý‹î»Õãî{@îæ:ÆàmO(zÏÚõz¯'g=]_ Å—aóm`ª•,"qoõ#éE%õÐb(„}6H†Ž)×6ácI]sÛSV I±SLæ=èÎ4°wî‡aî×ü®Ö ùݽùBO ¬Z×ùélÐÊïµ·.;ý÷¼Rü'—ƒÞ?G¨Aý54ŽØÞ%•*˜këUg•¨BëEúý¦¸V0ªò衹{UNA£Œú¾r>I«@K¹¯-bÇTЙi-&5~`æ‡lí]²/½³ph¢Ë%7öÁÿ·.ƯÆÒáË ùç^,Æ»x­žÃº¯¤5›ÈQ±š5 …'1ËfëÌÊ×_oÙ9ºEƒæMòšF± h@;ðØ ÁšèŸ£Þê ½pá,§e\ ¹¯¬>k ¶\Zæ• ïëZµñý]¬ˆŽÎ~.ídb‚’ÐÈô8ÿ cŒ¢%ßH»Ã4V¾æÛ!6©W«Ç?ªÎ$u_}NèŽè¼Ò9m<àfG|¿’ô44gÎÕ`@g¸¥yÓT÷ý\ÏsƒÎÄ>¿kÝ@ ‹—}3S &ô¤)5µ'Iû’͆íPû*±°vÄLÙýá'G Ñ–º`N·&txÖÉ,öÍëuÁPÀà hÿˆŒúQzº›ò®Ê‚>§eúy‘a°ÅÞF†º€ñnŸâù“*@[÷ÒIJü,è_W?j %ñkÿ÷º 5`Œ¾[ vI ŒSåÍÜ @×V-ÝAòßb‘¨¢© Ë#¤úȬ 3Œ*†Eap´Œ#Sï-EÇWØ꯾P$qÃÚÍ¥ÿ5ô-ß*\"Ÿ­3ï-`ŽB-*ؿزÄÿq?.=rHæ"G†ÍÂÅ=–$>¯’òÿ8kÔ/j=^Jì5<üªK7¡ÃÛBS,µƒ¡.;|_×Dö½Ph9úZ×_º t®ÓZsÆšÀÐ_ÇlÞý$ì•š=ß|¾5tV~z©?èöúœœM—õi†ñ0Xâ¼:Z<4¶“Ÿó$?˜ñÛ/Øïs¦=Á´Ìlh칺üÙB#hE|ÎXÕtÚRJ›¾§½€¢Õ¬ ºû#¡w8oNµÅèÝN‘±’„Â-‘Ȩýç`à6ÕànúCRŽ•—a`¬:›Áýzô½‰;æΡ²ý™ò m9å­•”ý¥Þ Rü{ uá…OýrR/¬•LZpµº7ßVeï=ísY÷L^°žï]¶›5”ú­'¹î€êˆ³½Z<Œ1gvBÿèmûÛ ¶µ‹èâ\~°„2+Ž µ©gµþIf<äëº|Þx¿"ù_ñùY—ù ÏT¾»[©Œ†¡*:Øã}Ùù н?ÞK¹ó~eN0¼ážü0šµ] ï¡Ít÷Ó Ë$ùÍ„» ¥ã¡zì󽄕•d¥GT=Õ [¶j*—mlÃ;ZÁXÂ9q. š¾ã® xtBçö®ªÊ>ì›»îÑ s(Î~¼“Ðcn|j– öô-ljîAS$âwvÐWéÝuš!Hô'¸é/ñWo;ѶZ수ÛOC¿`å’ÈxñÙ¶†BwªÌ„ƒ{¾C»í{Û·B+hÏw,¼±šäùÆ'k¢/ž>Òð"Z´.ˆeÊÐ:ðuñÊi‡ÀÑx<ñÎ,l*îgú²C;¦r‡“úbBÙB{X\x3vÁr;Ž,’j*‡FöÅÂmǵapÖ'6íáN’36ð5Bã=t|!ɧ"}ŽÅ’üâÕ«WI|½K-¤@kLuñåÎ&8þösog£Ú ×Ù¯f“zǺQfîlXëµ.é=qŒZóƒ•è“¥ºÝD ³ëÛ¥ìWÀ1»Ø+Z›Ë;׉‚.BR¦N’·vÇ ng7ƒÙµ8aM(©Ÿle6x¾™Oìç~à‹+ÚÐ:zzúýPšÒ©ôc…&Ì>ŒcyØÐA“ß¼¹¢›ØEÛ…Ž5'`Ö8kÖö—YÐz|*õÄ’–‡ß(†æõ¶5é`N Ÿáú–ÔéBža]{ üìÚö‡0£¿ÿØöÉk³& TA·§óÁ•Ëí°¬{…Ûdh¼Ô0Ù™Mêˆ4Z¶p 4š·î[30†³vð‰;gaÔñ-Úåš54³(¿|ñ F–ååí› µîxJþÓ«ÐL Þ5'Ý´—§V¾>e Z|·Í•A¯Áã…»2 }ËÆÊ×´„ä!–•ÑNHkVô€úÃŽûÆŒêsÃŒÍgÝ gñ|ŽÄuh¶¶nè&xU»xa¦vݨœºª*öc+ÿsÏ.íÀ{/^~±¯Î©ó¡³èì)±6è¯X»©™sÝÄŒå¶CßùI2çû[bß ²O¡´qNÈ]Ź`èî%yú: ¹ÓõOƒV{óš»ø èQu\Æœ™çg 6ç¾mÅÇÒ ‡¡9-Ú7Ê+ZKÓ èÙ—¡Óôdë¦è9Ðd.®ý~_ˆð}U²,² 4¹A[Ÿ…Á±{¥Ï–‚åø€otØ ª-ù6ëÒHݾLe:­c¡ç©68ý6É+Þ:§Í–ZÛÒáÖ2°34¿xˆBåFæ«"ioèLûwnõÐÅõ÷{9™~µ‚Ý]½‚IN‘&ª`ì}÷Øl­ÔLXÕÏö–ƒ®öÒjà0±·Y"qI9%`¾l«cÞ¹S«O'Ê÷ÊCÃÑUq~ t,‡C¦ÀØ0P´£…Mõè•|w “ì;óNDç†nž£ ¨x­·þõ]Áô»ìNòÞŽHÏŒ*æðE¨ßœí´)èžàØqY‹C¥¨ùâpžô(ææR¿ï˜ÒyKZ®wO]2cÀÀïÑ`tzu¯&1>AuÐWYk37XWV-çÙ½†š±Ï7ö½…¡vþd¥ÑLhqª‚Ÿ~}•‚Ò¬jûÇ$ï.÷ ãz)’H•›ó é“õDT› í£Á³#X$¾oúâºLÊ¥.ŒÓÝMü‚JÑcÆ¿÷Òú·?.êŸÿ~oçú‡öÿôý¿ýýS¿ÿ«ë—ÿ×\ÿKßÿtŽëÚþÛÿ—ÿ•Î¯ôþiþÿÄã?ÉþŸøú_eõO4þ¿ÿtüßxÿ_pòÍû¿œÿO}ÿ“¬þžþÓ˜ê÷ßæø_ÆýÕößxüokû¿xø_1ñO¼ü'>ÿýßñõáô¡õŸÆÿ_ÿ ÿ‰¿ÿÄÇÿBÿ÷¶êûßìýÿ~ÿiÌâã•Õÿ2îõSÿ­ïÿuþ?ñôkãù+¶KüùÉÿK±_¾ þÖ.þçwîÿÐGô—ï¿þ“ø‡ù~oû‹&Ï/㸙›ÿÏcÑßæâùm.¡?Ï þ2žû·>b¿´ñÿvî¯yÆúˆüI_â>Å~¡Éýg» õÏëæþeܯs‹ýÒ.úK_Ñ??§7ÖÎ÷Ý_çÿ}=Üöçÿíœõÿò(ú˼¿òò»\þÿW¾ßhÿÊׯs “¿ÑÿE¿ÊD”úuõ+mÉ_èˆý"±?eÆOý¿òùuÍÇÿÛçï‘ø‡öÿ„¥¿úÿŽ}Ñ?×ý+~9Ïó ß\¿µÿŠAêoüqÿBS”úûü¿Ñçùeìïvô×÷¿ÆKü2æWûû…—ÿ¦“±9x‘ïrâ¡þÆ£øo´~ÿþ{Ûï¶ñ«Žÿ’÷¯ëùeaóWŒýÊÛØXɘ—û·>Òúk-}þ*¾_æåþm>êßõÿ;®~Ÿ“ïÏ>üÔ¿Ëá¯uþn¿¿bçW¿õëy>êßeüë˜ß}Ó¯øüoãþ“ÍüŽ“¿|Ë?ÿ]÷¿ûóò?ÿD÷ڼыü1aIa1 jZòÏVGÇ™õ¯¯n·ºýÝêþw«û¿ZÝþ¦àö7·¿)¸ýMÁío nSpÿ›‚ûßÜÿ¦à>FáßVÔð×bþµÄyA!‹Ä“o#¿w šöWwÕ¿ÈNŸäü×ȉ±‹ÿÕ;aQТ°?xƒâÂþü.· nÑ‚EA1 “ãа؄È ë‘ù¯ÑcÇÁ1A!Ñ‹‘cÂJ|dlhdPì/‚þýxÁ¢ˆ°ø?…âÂâC~¥úGÿ“% Òý™?zýJ÷†'L&MŒY”ðgƒÀXˆ„Эol@LLXøßë!-qñ æýy,A(Ä-H ‹_´8:vAò_3IþÑí?´‡Å,HþóäŸí²cí!‘1¡¿œüuÌ\þûé±ö°˜Ð°ø˜Åÿ~F 2v~Ø¢øñB´¾ ~ño Š_lô0þä¿ÑÑ‘)?;òŒþ†/áРEAFóâÉŸ£Fþ?§ç¸Fggplot2/data/datalist0000644000175100001440000000010012114164417014277 0ustar hornikusersdiamonds economics midwest movies mpg msleep presidential seals ggplot2/data/movies.rda0000644000175100001440000530541312114160774014567 0ustar hornikusers‹ÌýywDZ6òµµp'¸“¢–¢l ’MÐW‘¿™s € H€„H´ô_vWvw¢«+[µl|žùjó=&žÈªÌÈÈëû¾3ç̹×"*"»–\"#"#žØ^û÷ýÓÿ>}âĉ?øÓyúߟéÏÏþDÿù_ô¿Sô¿/¦vßèòĉ?_¦«ô¿…'þßÿ¯†û¿þÚüqñ¯Ë÷îÝKT²këÁ8µyøö×ûËD^Sóä]>Ðôç¦Í«qÃýò¯ïÝ¡6—7þúˆ/“ÕÌLÕ‡dglî$»cÝð?ÿëLç•ÿíÉÓ¬å}¶¸üh±ùûÏ‹~n[->|º´¸üÄs·œk‹O&iôM’*›ŽMò‡ÉGí-þ×"½je SVòþ¼Øks–þLFÊ$JMÚUIKöjúŸR³†¹°¸Rh5Ñn](ÿ)÷Wê,3Uµø,Ù©ô¾N6ÿªµÎËdÕN§¦šÒw'•M¶µ¢vsÿ°ÕÂlj2½˜¬Õyªu²¾î_ôyû¢_->Ï’Õ±Lìb²”¤ºH~ÕEªcß™‹/ét;jg_*úôdE™¶Å7‚Dy–¬ª½:O^×eeÚà+3';f”/ÊN»µøªžLê¼N“^639õ©YLƶÒYÖ4¹¼øj>[z[WK»Ä~}jq=Y³wïÞm¿ç&Þäö y?Ö}òâ4yiiìn· þ¹øZíÓTSi®Ër1Úbª‹lžT¦Êtš,®Úá:«mà§ÄkìÛºLJ•Õúñ £}½Qª·—'7“÷¶H›ë¥EºÛb²bçwè²,YÉè ³5õݬLzj~7Y¡§š\û/ÙT¹¥7¬Æ:y¥ò´Lì0y¡ª¶ÁùÅM] L’©d?¼ÊµÅ·ZUãd¥°v’Ísúä£ö7WîªÊUjTžìLx »5Ö0ñÀ^am®"þùÅ·4„4åiòSï¶+oñ]R´÷¿¸¸e¦3]ä:[Lvhvú弸ü{ªÚ[]Xܶ4)é{Ó÷lÈçwƺ¯îÐTêÏÛ/ZYÜ©GªÀ,ÅdÞ¶}“—6§F†VõÍLª¨kWé–ý´$"õWòʔɎþPéöö—wušÎi$´*J9ˆc2\Óœy¯JŒMÄyOC£u•ôhý¶+!Y|?VÕbérqýî¿îB2¼­§}ZE»Ö¯˜~]ô£Çþ±÷Ó®-ÍžjÆÏóŠžÓû©°?¾REÝ^ùq‹¦\ù,ù÷o-éûwÚVõ´ŒÍp˜ìÔÅŒZhZÇ[º06ÕÉr»úþ¾j‹ÍÞU•e¶¬§ ýúßûªª¨1MÂÜV‰ÉYêvâ~þåd©½ÇgKî-µ³li¥®x¢¼Èt9NÖKê"/龦ù0¡ÿ<Àîã?ËøÏÔ~ö^¢ë-܃ÖR?óÓìs¦¶l‡í4ž@Á’%YÑJ‡+ w³Áæe²fôívFoETMB3‹X¥íë¹ÿ¾ ÌÏfJ—´¤×Û[^%2„«NHišÝåÌø)þbÒç®»Ï_Ó%I´Äæ|õ¾P3šýÿÕ®júZ%•Öý¤*ÌdÒÞãKbl„D_lªy_Ó¡9»k¦Z|À–Mf…=Ü7åx0®“Åß÷i—OøWM“Ý&»…Ý×~>-c×bùæ´±®ªöQz£š=¡OS5í)}¥Jf´ŒMûûËÜîPQÇU*Ù¨¡SñL•%CCKPgÉTâ3Tn’rZTI®ixYFœ¾-F$QZºURXC bÃù5HíŒÞÅ$ƒ1E=š¿÷Çô¶ ½/Øû´;6?ºM?Ò õ7õpEßA{½&·JJìZt¾#§O™©Úß½[Úi2Vûº¢ &9diž >͸ɑþWô'¤˜êkˆgêê”DÏÎ@eí¾mZ¤$ShïJtAÿÁ&ÛˇÊk·ÚVôë CG26`úÕa+†®S“¹¢5šÌjM3PS“«¢}“ wôX›u‘zÙüWR˜vã\u”ß4Ï!·l6QÛ©÷’)¦–JJš1íƒ.°9´b©ŸIϵÍo2yÕæûf@“ú‹Â`¨\¼½-}‡^gÊÎXQ¯b`TòBOUz`ß#}n ÊQP>hÌî-“‚§úPY¥k_â ³ž–ä\ÃIî7¼3Ì‹š_`R^›*æ^¾×ê 4ÆËôüŒ–.=L À2Ù+PÖ¬¦Ç ¾§aK~¤wmg¬â‘KÞÓd§‹ùòFëI²Sl¶o »¼´?O&&£Ž R>v¹?×6ßSÛèŒú/¼Ûý£ïöùò½g~^¤‹4înÞ%i@ A{ÛÛË÷HÕ´_h–QeÅk>]T5Iñ|²Lk®(ìÁ˜4;o¶õ—q‘½ÿ ¢õ}I’’,)2Ëðz5IRÝ«=úôW¾§ÿäÕ‘“¤nôÈ~ Ûì£Fo(?J¹°üh1!+šÔ—Qa½V¹°ühiG™gÉK5™ØdýWßuî>xô,)g4.Ár[~Ì›^ûef‹¹ÿP¢ë‹ÿ¼ÇðŒí”Œ ’’'Z¡þøŸŸ<#Íãn~E<¾÷øžoø¤U°wìlìÙYâaOú%OÅŸF(`®&àoËOž<ÿÜJ»sËOŽÎœSË?;óÚÛD Í-u›ÛZíÍ¥«Ä ksc8ojZm/Z]æ&1UNVHU(Rh雷Kª£×V?[þyi/üí¿žþ~Òvúúûí7ƒÂØ›‹Ôäi;!þ´üÔ¿øSç¹,ýû=MÒ=½o÷ÔD%½ÜIŸ-?½ùtùgñ÷Ócþ^X~Jâm§¢mÅÂ…*îó@´¸|Ìß—èošù½dƒLCˆm?{®/?}Dœõ}Ò ÓzRÒèúEµHìGpó`ým‘BRØ‘µ‚‹b•DT¿Pà…g>ßñX¼×“v+ú“]G¦ÃŒd4Y:Ί™‘’æËÓŸÛö·–Ÿ>½Go˜ŒjMbC“*H²n­üƒê§O—Ÿá½X K¶ê|‚Þ̾M žÀJP3S’°dNiF$…)©­òÆ =øiûÒ_áoúÑ[RgÉÜÊi˪“¹*kßú<·èÊê+´¹BO0n_Ü©ûÊw7m¬¦ eu`hâ/ÓPÀ #ÊK¼ùé¯ÄÔíO¿ Þ¼nÕÒ…û´ÂI†Ñ?5ÉÒÚkT÷“—‹eòéKoüO©ñ†©ªŒDý‡7ï'}Ò~+ÞÒ\ïçvNËDèg°×f¤¸VæN²ÞÊ·ûN› ºÕ÷dɃVUƒGè­­pÁ–èNí¥%=Ÿ¬£¤1‘úU&$‡“=”Ê@c†úÕûI1Ÿ$vD}¤HÕÞ§a÷V2½@ÉÒ)(š÷ÿÑNõË÷ÿA¢s&+¬ÓWó0™ÏÜg{Oj1§ïó~©SÕÞüä}Ø BšÓõ zv°¹nÞ¿ç·$,#ŸÓTn·³h@7%“GMý‡7§cMwânÁ¯ŽIΑü÷ßöuÓŽlÖÂ,fÝ<Ò*¼·q&ý~=½:èÊý{K¥6Có¶¤Ñ+ê=ïÏ9éÿºÎh@×üÒÿó>L¿2¬e¢Ý£Ž:~àõ‹ó ­š‘* ˆ.º¡½6„v÷h4D¡ÝÂýðÖ˜…íÓoþéO¦·&ýí7›èÙí´¾ "¤ÚÎŒÌÞä]:/K?ç¯ÅÌÝ‚ ¯²’ÜûNbl“Õ„Ýãyô<â>}–À1GÚmöÁ˜»xŸÞã m"4¢mËï&ĸ>ˆì¾{óRP:H™¬ý}nS—5øº2E0…}˜78(Zê©û÷Hɳƒ± zø80?%i³v70½à¤™L6˳‡÷«›½yMY˜.º¿ì²œ¼,‚’õùý奟[óúêýå{ÜWA]Îæ¤Çy ûÓýeê¬UÚ$k2+^ëÊ5\©M–bvRcDŸH––àµLm+ònm‹Æ’×Û ŽÈbmøÏ÷<ñïýà™ßˆèwE ×ò€$îÓ4)H™ e˜ú§¶=výþĶûÝúŒyò‚}$zÚiq…د@$­‘ø[ÚμÀºÔòØR—êÌɆSvZòÊÝ )æWÜ)âDf5~J¶¥W׿£ë±&iZbÏtÇ=$7Ñ‹C=jñžM3¶³¬.ƒ§Og{ w˜Á]T„‡-ɯýüþÃúž¡‹á,ì :.’ròƤ­ÃbM¥þ¾h¢Tþ£®óõœGñ_µ!“fj'a2žºÿÈÙí{-ÜܘÜñpyÿ ­ˆ|‘.YêÓd{Cÿ‹Òýóý'=ÿ!OŽ~È—÷–N£…æÒI¬Ð‘ß·Aç™z@Ø –pã²ò²æçÄN*»}úí”*yô,X„÷ŸÂ‘è—Ü™ûOa7É/½xeKC=¨²ù+ÚÔ¼þûÙýµ7þïþ¼­S÷&ådyÞöáÿj×ÕX79öê3ºj äSh…I‹ø›8v£g“245p]O“7$Ó ÕW¥û¼…²ŽÇεžö“ÕL¸þN–4ÎÑXØ“†mF#Œ¬¿9¾Ô6¥Ÿ´"öt:T8qlïò·bCë&ßSnòá§,ºwÉ^,ƒîqý¾§™ŸÍÏ6TÚn 4V-aaÛœ|ÀÓ*L§ͳÚÕ^Ó¬Ö©ü _œœ>ƒžöˬaýµe=Kø0ü­%]Ba³!ø¡Î«Ð}_QÛºrû¼f!ƾ›U¡ƒ·Ñy«¦xEp¡!¾§ÿ,­‰õõ“ËØ©ò°=×àj ; é áQï˜È_>ˆ¨›¸,2w&ý û±sàôš+û‰J½*D÷ãL­LhüqTcëáÐ.õoN»½s–~ ­AÿnÅу¥÷^§þòAäåMèò…µŸwóξJC>O¶í`"_ì´£½N÷è¬]·g½ß}×t6¦HÓú[j½^²`ƒ.ˆóÿÞˆôéÕ9Ù{^¹ºE­¨Ãñúè:†çMnÕÏÚ]ìƒVÂ!~Ý~ö‚'“XÜ0Ãö¹_=èãWéj¦rÌâdk^ÕH¶Å÷îÐØÂA ]0Óìê C‡Ä<;²vjƒ³´Vª<€Ï&Ý_vÌõ÷·8¿ éœÙxyþàÞòêäû~€î=Ãqõ¾t'üéw[³èÕ%ž}ð̤üVO½VJ´Gáo¿ÿô`ÍO0uh|ûKF…-iþæ8á“ÎÕóP¢~µf¹ÿW+4~~˜ôȘ/éó·HvUd·‘øÕPÀß«¬Â{Njðb/ÝgQ£—è>Ræ!í´›—ázMïoQ\{H‹U#|)ÁéÃdkH‡_=“õ|NÖARŽÍ¤òñ綂^új¿xÈŽüÐÆ­~z`æ… =OÝÞ}–¼›ÑjC|Â[q6õWâ6ßÁŠÔ6Ìœ¤Ó¨nÚ…){æ!oh»úƒ_©_=LHIÔV)Z„„c;o§S‚m´T ¸’QAkÐà‡¤Ihq'/¨ûôTã 326´€y Yºø¼œ™‘­á§ Ÿ?L>$í8þÉ› §ÞƒGVyÅíêC'gy¥¿ã£–I³w³.!'Gcß—÷hkÈYšôÈãè´”¿ 3—Dkß÷Ý-âý«VdÂW|–CCD[á`,ÄÑwÔd„Š¥öI½‚(Óùam½Ø½Ú4³á¤9—ܲ•É.ÂVmQ꩘U÷¼¥…÷=ôGÛ~xÿ^ø³]âgÞ§.Št¸› Ýmh$võÀ¨, {ØØVÛ†T~Zk[4¡æ‘¯îÒÃ' "g,"#à<óÑ_>ü9yU”픾N—;Kžô íT5«³õoú´•Îç>=ê€uDìû4ïZ)ûÅÃ5´ó‹æ¸s¦î’숨—9wnéÎF_‰ã¯ h—ÆQW)gaæ¥ììü8éì#ر“d‡&t;™¾~äŽrš3©ÕÂLiêCØ÷«ïÔ£ŽCçÛGí(S•5¤_‚'Ï‹¾©‹œÈÅ,vJ@øy_Mû6s!(4¹2¸›ÓEÚ˪íô[ØÏ9¶›áè}N’C’ í(^§&6Ï›Û,â öL{‡KCv^Zé¡JuÿMàÐŽBk›¾ Èµà\}D¯Kû²?=שñ1__?âYßtûÖ‹»ÉîÝhH¡‚U¤SìQ[nC“(tضÚ^ù¦ Ó]¹»z7ùqE±o’ˆg·àO­èytïŸÚtáѱޡψ|;ü½ºÚNÈGˤmû#GË|:F?Œ´ÏG÷ᶞ,yÕûÌ£#kóOZéwñÑ£FÄU´þ„UzáÑÏ?³çdæ´a?iÂ÷öÝöâ§N¸ ·ËíчVÓYà#œd…ÔoZçÁȸø¸Ñnh ~fèaœ|L²'víÒ|œ¤¬ªŠºôZç™Çwµ"¥}±Çèû繞×ÕÙÇH÷ÿâÔ»®<~ˆQîÄÞ¨oç?º“<&…‡LŽ=ï½J”r i¢ÑÜUÎA8Qþ;ˆ;¥¨¦™Z'cï®>ùøçå¥{}ÈõŸüÑÀùÇpƒí˜Õ<çaÓâ¦ÎÍý1ÒŸ›þcŽ‰gxâo=?r¼uéIò‚]GÍ$ßP6p6È:›;ƒŒ]áv4Ÿ (Àˆ*TyåÇýÜRóK¬¨bØ¿| ±óOÜaÄïf”üÜËOªTø8Üœ¦±@û½QžN¯5´ŽL¹d/øCN?IöHwY?9éI³B-í©|©¯ •úä¼ß$ÅБϜ“‘6f†ø¨Ú1ûû“eØA#>àb¹‡[š"´yŽøt¦L~¯‡´øãÌ'ËËÉ»V8’5û¡ûï# ‘aT¢~ðŸ{rŸû?%uÌ/Ù“O Pù]ø³'¼ïä“ÇK??]º÷À_ÿÌg^á†Oq”=%Ñ  3O8 y_e~Ë<ç<ÑþvúI×Ãr”_ív0›LÞWi¤[ÿL²ñÚuž·÷¾N{.í5¬ï“¾CF,Ž¥üHñ3¯évÙüìÏ ZÁtëS?w"µNþìze¸ý •Rþy©õ`]üù^Ø•^Û\µ:×™Ÿï-–$R!Ã~vë|§¦1x‘²ð3ö„D–si;]}÷€¼š%ÛôÝaÃ<V_e¾ç¯’ú¿:†O|D{®-KŽñ­®&›–Äp;($K{yegÉ+ã£w/üü4™N›&ÏëÂÎæþ[7[ŸÔg?‡\„ÓOù0Õ„°©/É"²Ë \zŠó­9Ý>·#‹¯:=ýçÚ„ù†ÿ|ü´þdWÑÓ4ð»åŸžÞk{ì)뺟(tð—Oãð³§ÝöÃÓÎáÓ·Où„‚½,¯mbëIž.?£•ö†Ô½ºÌ”¤I„«‚¬Š±ÊÛ½ôFÜ®LH¿ÝWaùÚñ!ÍGß$Šœ,a®ª¶[¿zŸn9!nM2:P&II’G”v¸¨e{À‰£ùvŒž>\n×칧ÉÐ"ýe€°ÝvÂ>}’ŒT2W5t!ÚÉŒï-ZòÏ]ßh®¿i¯“朦G›žÊ FH%–?z¿¾óÊ?ò)ORY‚Gõ·á–Š×<È»ã‚Vðú ‰<­÷táÇí³§Oï>õ¯Oì^f,zX¨qxý§O—ž†ÃãÏž˜Ø‘Uÿ¿zÝ?>ï%?$[íKô’$?ö¦Ê§Üê%÷îý|GÞÒº' 1÷]{¾—,//!~»¨óŸß=’I¹z¸Ð#õÂ`%{u8Úè%¯êœ½Dïµ ²{ÙÞ÷\ž/Žµ']²]½¤?'+Ë`ÂÙÊ»ï®öh—ÙÇ¡vM^™‘·V?ɼHL£ÊA[D{—AwCBÊHÔäŲ̀d¨¯]ê%º¤÷Ñ$ ³yÝ·ûmôýßz¤Œ­N{æ©g4-Ù³I[LQ›Q7†©Œº9©4IÏÔ;xzØA¡?+öO’Ï û6±É¶˜¢ÞC¶NR"¬¾LöÙÚ„ÑF qò­BLç_{t·ÃCj/‚û"…œ-Kß:!u µ… -8rT#ä~Pvæ-=©¨mE÷2¤©@-áeÎÕ„–í…Î+gdmØ$§çÁgؾïG9Ï`œì;ÿ‡Bd7N6ýImF•V`f¦3c?E#rX”gSÞf¢Ûé͆ÒûC4ø¸ì˜“×t¿Š9˜Ý%¾µw~ã8;Î,ùH1s$¥ViuˆŽ(Çæð*¸ªÛŽ9Å×ÅuÔœ,äqhÏ+§ÛkŸGð%(i]…O«iŸ&ñ5×Þ?HÑäesé'ó_‰Lùî:C«öÀI¡ i¶8Ðã‚>+Ì¥>ÉGbíÒ.XµŽ¤s=2ð4'sB ê«=› ‰X²…zïc‡¿ìa˜l˜;îR¥ Í‚o±¡ûà’3D(c‘ÏÃxõ¹ç ³‘2!´çt¯ßÇËëýðž-%dmŸˆ-õ*¨Ø§¡:Ò¹¡O´ßû1šÚ¤„Ê3TÈ’£M\Ä1K-Hù`)¸j9kÎÒîƉ9*¸׊bWÕ ‡Öp ´ß~ï£á‚y­'sÚ@Ù·B—pU4¿ûûGsc=ß7¥ îèOÿâž—¶½7ÖÇ°Üÿô/8ÉŠt¤ö³Ie‡mþÏ÷Ÿüåf=¶[Ur\ËcúH;Ϊ¥B^醅ÐC¸mò²6™p\`þ¶2³] Ñ$ÔÇȉçg Tº¦™½úe¡†Ú º<þ½7Û*L~ˆƒÑÁ˜¬ ÙðÛ¸á{H˜ò•lu=´‚DZLvâÅÌĶ{í¼¦y¤‹T‡ ]\GqçÔ]CECtbMÍFšÉ¢ÙˆÌŠ1YÍ¿ÐÝÇfOyYBS ï×ié9Í.l†´¡°£»Ëd7¡Ý$Z9…õ¢H$µôÖH¼ûǨy»ñó^Oì ýLŠ{žЖïOŽA£—ãC4˜å4gu´éWÄ#ýÊNå¢wkL{a´n‰°Eš$œXõ›tÌ•D°9¼‡‡?µµÊy'múšv]áÛWÉ„lâyâlÚ Ÿ¸ûRU½ã´K\í… ¢†ò"ä¿^v” DÉóQuˆÝ»èX›¤;ã<óSæœcì`Š¤­(8㈹š‡Nv$qîCVÖó¡pº:*|®fIðÿù’#ÿR:lD2‹ÞlL—=©E¡_qt, +‡¾~ß‹”s·¡Ž·Í4ôH¡¤û„#ô@ªH‚ü%‡G“ÖÍÜCúë)Ȉ• KóZÕ´ƒáaL¦imýñÙm?@ÍzYÓJ@ªjLüK¯^)ô*²o­Ë*Iíä¹ø2øJh]Ú=¯Ñ‘¾T e‘31àçþ4{ï»íõ6à·®oÛëdéõ*ã™®^z]´B²zNfE6ñâçvÄqŒXNýõc/7Í¥»?…îq ËÚ˜ý¦@o\"£”-VÀídž¹IÆ«_g†Xƒ_3 ¡*|ô¾UØ!²ñ©ý•¦Í{ê^G:d.ßt¼¥æ÷ï•éd’¨„¢)öqºä*ê»~iï©q-½p¡¹DŠàØzs¥¹A¥Ü!Õª.ªàr,XÉ##O)Î{)QÙOŽú’”†<Ä…æ[öÀ÷y þ«6ÞwܾÎæÔº4U8;Ý°Âê=Jù*P0\d¬m>ïHñ:áã¤Ü«$´wÔ:3•ŸÁß3Á"§„¼yb+DM D*,¿®4-‘ªÄ±³ Ühx•ÁfFêâ,ƒd÷¿=íø‚B]Xó‘åÀæC¸Ú·þ ¡pÕMSñ¤ B&¼!é17­NM3û@õlZv4ÎÔDÝIz>ò„˜ÚŒÒÕ‡.C/7]0g{$˜ôti}è?€ez‡Lžö/¿εÁ1RæüÐï¸SFÄV 3 ¾£Ó”Á÷p£7 »¦ äÜmÚáq–맨äÏŠ«óCC-<Äøˆô Kv0ÐÎQmP¹ ÿ@3æ7ZŽ­u{d2¼°ë²,/å-J€P¤ass¤5z¡£3¾Š‡ë^_o¯éÝqÛA:;ղˮz‚s˜Âomˆi9óOU…‰dÔ° ÎA ê "Lvx@•(H•9ÑnzDòÓ6à9ŠîÓÐiµGYÎÿ#2^µÖ&üÇi¼xÕ¥–5TH@\×¾Ñ8í-x> ìG’émÄ0r´>R0' ZÎ6ŒÎ¤>ŽmŽìM+”y¢='[ÿ¶MÉdk7K‰ßµ€f¿Ì’M²ë2­½ìú ô__ÿÐh®TˆÜõ-¾Z¼ÇøVq8çª @«Æ€%Í_LkÞžè.Û^iÚ´ËÎÌ"ýÑñæVí‚ŸG‘ˆ ?#õfÇs5Ê´ð‘Ð=ÆÉó‘õ©Å—AØ“¤]+ r&^©%ÉJë$OÁØ ­úw¬=‹£™)1΃\ÀXX4cî€ç¤Ÿ †OMhj÷|ˆ;±á`Us½(A¥mg×9}ôS aÀ]¥ÎG·±Y¤´µßv³aÜI†´_úGôYÀo¢i`¨ókUvVѤÿÖäaƒÇônI\–* gLƒ?j• ±s¤ÚU¦B‚b©ÔÒÕ/‡“Ì,L|‹’‘š^[ñ >­†æaûïåï"iâk˜VÍ£è/AžYDŽKŽËË÷ºÁ!oX ɵ¡òFeÜ©Hr™|‘Äâödu•›1~^ û Y+Š qŸZ(Y«ïº`°‚4éýA°7B•$ K‚¼¥€ ãã9Ûƺ¸§ön×sG+Õ èdò¦;ÆùqµKFƒ×°oÆ{$j ËL·£,ûžh"bòUÉ;aˆ*Øó]v4/YÅÚ;×0¶ ½L;~hˆ;Zc¿áá¥û“ýî€ñ\w—·v@Io©!¿÷«b¡¡°„€ s½Šýfñ5 ̤ý†ÅM]Üø¦’A€x¼Ž¶¥«ŽIÚåTGP2g¦¤}ѓηóî*yAóÔ¿6T—¬ °—Û·ŸñéÔRoiÅŒ–Øæ ·}k³½ôš†(7J¬æ¾sûÄŠVÞg®aýrwçnï®øÃfmªÅ¬Lô‡AÖºÜ.5LN7Ç¢ÒrÀát 5ô¯k „rY¬­ŽÎó×è÷ŽÕ$ù*‹=b•Ô#ÃÇËOŸÜ“ýȨ ZeRqcÀ=xÒ\›˜]¶XtÛŽ×Òï0§8KÍîÉ»E ˆO=6Mâc¤œðûm×߉a/:‡–XN…©…rPñ7¬ 6oîCJ/´ô÷tϱ™h·ÔiL©“ºL„6 ¶Ú(°œXv”À}Däf#…aKÍQå#Õ{~O¹J&j†€’ø£­¡ _øœ˜¾åtò>N¢Ï"‡ýü@[´ú(匧xP¹–´¥<ÊÎ%&½Ri“1,Ð|˜Ã ©æó\ôƒ§›à?bb•<–I™î¥úªšè ì¨ûæ4e¶Mß³£HÜ0ôËÔŸ±þ W6Ñx²¶2ÕZ:l<"z}*%.5.'F~1£™dÐ #-^nV±sïn‡taiÈqƒäôå9`.j¡J^DÃLj:ŠÒÇè·%Ým´hœD¤•,øÕO¹†Rôµ„ØHÙÙT8ÆŒT£3`Ùä m*´Æ‘ê¬2Ô͵†Xf2Š‹‡_eâ„T»ãŸAQU$ '4;N kÅû¢a)'¿ä“<¸ ?B¦Á×}¿3Ñz gÁÑÅI\, §²t=´Q´“n: Ïд(‡ÆŸšÒ[]‡'Ѓ ô” ÕæȨªÄüy‹6QÃ1ñMú™2$4ëø&{:©UÐpÎ82ÎLMø f!âó&Sî JB}˜'Ï?Ìx$BTà­¦\,d"¸#’}dD•ádºi‚4­àúáÙ±-ªÒ=€Ø± ="ù,ãÄRþãù{ѱ³àŠc¬é=ÇÖÎóœU]öpŠv )Çjb÷ãçf ˜¬8§:>yK§Ž…ãá“GþNŽéSH-ˆTú¯"rY í„SVB‹è0žïHæf1-+Ux¨Šù`¾…JV0’&F ˜ˆvµ~¯ÆàÕaÃpfºà’6³ÀÄåë 9246q€ô%3¡¦–OüÎ &;=káçn%sL!¢À©äÁ4ƒ•$`™~-žV"®¹¾ÑKÑ038’DÚ[µç8íùíkü5P¸¡SHv¦õBo›2D’¤´©¯_q—êå=õOxa63(y$Ô_ˆ“UÀ¤/•¬ øÆ&Õ GMu¯Ž -5Ö~®5dÇœÕ[!ðË‹:ZÑûŠkðIJ²©INåæÐû–.· ¼Âmí…ì)ŸëÞ«M~çF º^ »þZ”*»¢x#¡´’»†ØiIJæz¡þ8öžÝÈÈÛËó$`HŒ¯%J{¥ì³ûQÃdpõLáÄØö"" †‡—¿\Œ~ɶ_´Ý6ôW3UwL­¶¹Kf8Òe±vû1úMO/]_ö祩ªpJw+n°Fh©H—[ u:Mvà„má‘š&ßÄMં[Ì ‘©Ð6ú‹h%›ã°6kÚN ìÛGš±sðîãhÂßè44Y¬9=ìðmŸVÍš­Gþn¨)ZxtTOãÿêü–³,xòCeaÅÿŒTÚ1ó²£8u?¹Î²2 ’—…2xxhúU·iUuΙ¿Ž[´aG/ÄöÓmHü†ÓÎ;q›5ïÈÈÖuÖ(ÿâÇæ~cQvà±Æays[ aÓå¿®ýkÿ-æ>Ϧô²@½H†ø¼=jüÂd&Cíô':ÿò„¥Ùk„š¬ûeôm·)"»q~[h’.ÕñCDºlfŽey|7½$㶈Þý›¸Á+µ·‡`8Ô{! Fy:ÿô\xEsÙ¬Ÿš|¯‰ñ#óÿ“¦‹qÓuZ½}›ú`¶]«>õÁ¯iŒH-Iãåþ]ÜÈe%"Q¡ÐŸ¸p­,¢ßí§M’Ý/¶ÿ¨Ñ·GUplwÞ½{+3™˜#Ö.Ÿô‰m1 Á[UŽã³é¸‘…˜ôå¯0å€ä!M-®–Ón;kº$#GÞôûø‡Ô‘þÉZ]t¦ogl«mÍ0ñ¸œÛóà“JºìîÀ†LÓù':ƒ žÐ.oÆë6´ùÁIY“OâøõΖ²C6a Ðk€ÕëOôFgÿÄÙ1Û?cõ©>ÛÁAY¾ÈÎÅã?^õu0õ‡ÎÃ&Ò|9V®úˆèP˜ûHJ}>ÿh“mk'±0?ÒdW}0.ãµÈâ&ìïo‰ úîhëÙœs&‘Ð_? ì¿Wå¤{Vvú‰)R5@ÜK.a³iôãÑFPNšWçiñÓ0G+Ò;ú5ân`6 C REY^ šœ+èb†•çs°›˜êk€Ôò[ʵ†ÓèÐðád¶ÈåïJÝ„ÇæâwP‚í@©*|mÊÕ‘ y/= =J¦4'›ëÏ{@4:Ñ'ˆªY:7#ˆs®GÃI¦íKÙŸˆHk±¤u+qeN‚ ‘æúŸ¸†©qÆ%ÂûBÓ:úqËdŽ¨>©twqL?ÿ)¼AÕWâa8¤®fóTíÓä| o먻€¨ ™H·N3ÞÒ[þ/vc¹&3ƒÓ¸®Ø”SêÅiJËåÕêá$›¹Ð¦¼wøŠ§‘vQ˜ItäßðÖ!hò¸üZËãý®¾NtÔá¹uaM-#/µÌuê¦ç|ßr8TÑì3üi‰ÌbC“_>þºl9³Æåïs£šS³ »v8_³«Ð·ü.jY3 1šnÌ#çÞ­¶ûÅá4u š4ƒ¥yKzźŸ œËó¦Ks¤*›Å‹^rs`ÅÒ0°I¡žÍT3)?v‡U goÿ½FËV05êÄc‡6¤%…(6ùîÐAÆ‘®xUpwê2Ö/µLž¥\ñKL8L¦8”ë70p <šÌÞ?“žºD}aTÃ&»ïNV¥J ˵†Qš„:€kðÛ´+ö4q³Èý|”ò¸7)Ä)Ä ÂÏ’!¬•“¡X?n,6~fÌ2*[µåÿºœ˜yb3ïs&2£ò[%n©+G×2&ÃÂŒtò¹}kƲl±>ßêUcuÃÿ,÷þ¥óhsæ:®þ@%Føìj[£ NÔURÜC•z‚ž šmñÅÄ8Ù”#øSÍ©ØqÎÔø³:Ÿ¸OZ„îÐvl\ÜEVïB îÔ¤jWñ÷WM=&‘[â½XôMÍÔF™=ˆYhá>¯ãç9Õ«ñÇç=!¶[j›n6͹:S¦ã¾-ïšÎd(áõÀapu¬€_Î1À.Ý—7? 2¬qÈÚ&a[™Ä$¹WÀ‘ð€ôÅuÖÝ’èjȸdjs;RU@“¾Øbé“™!Ø@0Þ¥iØк4…¹3™ûÈ|ksÔ¾!¾æ‚lrC.Jò¶é#¯â,M/|¾ì!â¾n»ä]Î "'ý7ÓC! …&Î;þ„¸*@”žuÔ©ly¥¡Ù:±µZ²fèGÉóf*3d ù}ö³€‰e\ÙË ¸WJü°âÃ(Ÿ:¤¢Ö8(:#œÝä‹ÕQEç|ÏAJņë嘟a8ÖzžÛØ6®vé±þû æi0½éeägô§ŸB?˜‹¶@Yö¨ÿå:Éã§Ék—E‘3Æêe´AìLzŽm;'E9n¸àÂêÅA‚W¯~èÒþ³Fß$ŒÅxùg]ëwltŠþ&ÚÙ¥CˆS¡l¼ºÛ»»-ãk˜“‡:KÍ]éaëƒ •˜VEà¤ß» –ɽ'OÈDø(öùŠÓ"Z¾AOøN´œ¶•I8ec¦íü¯›fvÜñu‘4P†êöVvĶ€¿Ýo3["!Ò5û÷/¢ä‚ë@Ó¢[¯?¨$›€ ¶§’IMO#Lû¾—{î„iú.Ì€ ˆp*ZD&ÄgŒr­ga?ú„kÉõnW { ‚V™†ã‡Db–^é-cU"Œä_Él'}iˆ§ú —óu7(ækôÜ¢:‰£šFð…5è¨\›à5€iˆÆ»Ø^'éâúl$å=‰tJŸfÎB¼Ê»[ÁD†'çFyÁJ]äÁi'ÍäzoT“…×W{4/s=*bÔ…’]ÕEßå>FA¸Áïô‘Ô뢀 õA½§V«¹J-JAú‡’b_ÒÅoï.Ǫh¹×zãÛI³Ëæ´§ñöÝr¯‚û†¶²\-5O€jN̈‰š± / Î@TCƒ·vZ_"ÂíÆèÏžˆ†Yi‹öyd¿ ¨Q߀Ϊ; ”z‰‘…]*á0èŠÔ(¸†CŠôxi0®ý‡ŸíÕ¾Jvµñq«ô} CÓ—r*Œ~fî¨ÑØ$*”å á6^E˜=D­ß)¢UÉï¢Ö_Ï ¬!ļ†ÑVm‘ou‹t‡ä  &UeÍVݮ̭lM2€ þµ™4°EaR%FÄ’žWꉷ3?¹?´É„TŽ±©.¡_!·ù€ãKô0¢ÉX›Ró“µ”¼«ìD¾45™˜¾Eƒ© ˆ!ͯi³«é…¦|ƒ rIoýP[Ã>òl.~ˆó{z.½”NÆ5ʪ%€×jï}MÆüÎ’R[@"ø•o–^xhŸÏz¡›.âoºåÙHˆ(lo{²à¡Ðïô#Xzµ‡b¼Ôm+­qF ÄÅ]0‘S[ô©lÝ\üØéç;ÎWïÐ;š_ýä~õŒ§¹;{€YúñÜè1¯sßh˜öc¸tâ—AEEÁªãf%[o6¤d°5f¼'É=\ÚÇÑ ×3`œÏÿ ½5rÓ”}MkŒ.bÆ[ øPYeä‚c ¨½4ÌyWywŒ$0Çô÷‚Q”¥¸DôÒ u ù¾Z$-Ñ/€ž8Y…Šê­l8×ÐT^z¬ ?÷Lp0Ð>ÇÍ| ÒŠÇõ¾Ñ\>ãŒLã‡n§Àç3I9¾çÃç[pñ”QL¯£C‘Œ^¦èa\a£þÈõ7|]–Œ²Bš ÍÃ&A¼ÚШÁbÙRó~˜Vø äÀB>f ¼[1jSeBœ$Ã&-–MXˆ%„Sn61`þÌè:5t‡bí“wôµ>ƒ†}[þ€„pé5}õ¡VÏ8¢,œÁŠ$>R]Ê¥ç´`éÅôxiÝ10pÍõßèúÙD(µ>¶(°—“ÄÞKàÎøoú#˜Y{$òè}Ú:ñ‡_Ž[åT±78–ðß³—©ƒ½Úì^®ú&\Yë·®K½½º²ŠæIM#OÝ æÊDíªÍzçD+×69%¸*yÃuF½@÷Ý—t1ù·{°þÇèÈfÓE±JÚðhȦ7‡µï@4D%O°mV?ÃŒŃLD‚Mê‡ç‘߻跀ü‘§Ý«çsÃÿ^ ÃËßð,5sïüÎçˆx€Wn‰_7Ä ÐŸÖ÷/½ -œ‘:,h³ŸØéÌ“‘ÖýÔŽU]„ÙB¿5}3·^ qÊ u!/vˆøù5¡~ÕJü7 —]z¯Ïu( E“Ç’’|&…FÈÌÜfƒ:«@Ó¤°Aza‚Ï(ÌöNÌÒ¥ßO‚Ò’}üœôà@šÐ×ÎQPþÀäƒ=²‰2ï٣ס•ª÷õ&uBËÓ  C>0õtZ'P!3ÌϽàvšÐrÂØ¢Fma–êJtR=­3ÀxwukM&ïÒn€ œÐÏB•‡^Æ@9%²Õ8z ¥›ÔÑ•ØR3êZ±§À£™ûˆšëtýZç ¸ ñõn’©±å?#±`|åÚ¤(ßlÖ@¢"P)~ò/›–¨vüf1×Æ*„ôg8ùÖŒ~kñ—` ãs¡ _îS02’¿Zˆ‘Õ3²ò•ûCü`jù 6™:˜¯` 'ŠRÃ,m€ÜÊ8G zá±®äNý6¼RgU*{µêÉÈáר|P³#SK=20ú>uès"y࣠tÑ'qA+×—÷ Ï‘Q͵SùüÂ!ˆsÎ+; "5ÃqdÀûp—8°©‘H`Ú+-ºr´öÛ.ÏA ëL¶ú­¨™š#b ‡¡Ø$‚Èch›9uÿ£ÍnS3=k‡ i÷ÔJLCÈÕÔ/š³´ÌýVy®kp ª±Ÿ'èŒÌ FÏí£."à¨ý¶lƒ€çö§™»X»”[Li4+@[¸ˆZyúu–š`Þ*ësŠþδ©©PÉ ˆ|ÏH.f _ uêü¸ •%Îõ3RãiSæÓ,fVŸIÙ€™V„–LùJ3+·@/låÝ_€âec|uÎ]Q¿Ó”ÏD¯‚¸£C ,Gzô<Њ¸´0ž}yì{×tS©0ŸjiÁÕ[Ó6†ç¡g¢ –Ÿ¹z=:Ò³eêÛ÷î qª$#ÞØäe]–¤»ÌmžôH yå·õ3MËí»o}U±†T¢¸¡Ø·˜j;§=xnp³-¸+œã˜‘€€ÁSjÒ”‹?jq¿\…‡q”@Ž2JèhÙt}k'A5Sï,ýgs ñ‹ì¯!ýo¤¦5“Ý€I\ГWþN…¸ô3;¶™BÅ1°û*ŠS¢ý0Ôf”£,0Àû!1êZÌ>ä "*³ž)®å­E’|)ŒçWõÿn…‘¼ÝokynE=©‡}5_"-˜c]Â$Ð#Ä`™}2ŠÀ®4LÞƒsÜrӀ⚧EòVï#¢F<)«é_º|`Ú|1 vmJVûŽÕ÷8µEáÏ@I¨Òf©Æl÷bkHãqÎÖïS/¸h6¢h "fmŸúwŒ‚ÖŽ0LeUˆÂ½ŸQËöù þFót*6D&aµ½œÏJ±ƒp-ã„ý{bÿ&Zd]ÔK1UL³sÌÉé ´HÂ$"ía=Ä?MÃIØç ݇0VÛÔd•8{õœªÝyó킳¥ lŸR¨Î½ l²[…ÝÓƒî½Ô~ŸÌr.¬ìáËN·|q¦ØR4 N:Õ¼ý£ìlL¯Žlbivç‘YãwîM’ï¿Û¢¯„ò„Ì‹EáUU±G?Ò‡ w’j˜Y!– Ç\ãšôÿA(ÓªFÖç`ÂÙÒŒh[šw~Ðx ½¨ˆ.ÎñE§´8 à!•¿øà_h›ß$N¡¡EÐzØÁ}_Îãv­}ß4Ø© dyuè^çyfÿ@h¾ˆå^hZv'BCÇû#|ôH‡Ã¥ °q¦ED£ËKùÈõùö:B–¹ê©/­+¡*B¿õÌö´æ…E1ñݱÑûÂÝO­^&ëyJZvP…nü»²µb\2¤6Q¦^ôã•–Ü+¡¦bCM<:™Fù ’ê8ŠÛ§õ‚Yh@:öâ"_$‹qÀci§íeÇàœ³;9€M:Öq5ÍÏH#ÊIâ½@‘Žu4?éjÃ0Ó)ƒp‚†Ø˜iÇ9œ^e%@5™ó–3¼´ÊDOqÔà]f…9*C•Ég7/Å°,ŸÆ?àø +JÓœcú3 ‘̽<»ÞwÛÕÏg¦ mè”>F©GfÊoŽm!ûa¢‹s|‘¬Ì5þ:ˆë~¹u„m¬À*þe®h¤rõ¹¦ù„Ké`ê!­aÎ,§ýR@ ƒ'$Ùé†DÒç2žìãçø‚ö¦_I%º#ˆlÂ6¤¿9ÒªEI ¨»¤`L9Æasî°^§J¾sã5Z‹pqo`ƹ©ÐsËwÞ5{I*vßú¢à×uÇf°_1È[õáa&-°q¦ÆyQ¢³yjÛaºìhÇm˜ÿÿϺæX,®àŽÁª/î®EA%ÀÁ¶gÆvï¥m‡"k·ÚV)˜÷|4J¶k={<"sêâΑ}ŽQÇ^ÝvWÍð¬Ö}çg ¹DÚe–IóÇ ¼Ùù9WÒ}H¿¿Ÿ”Œ*¾‹0l1W€˜ÝÁ8oÉ\ñ¯2‡ãîb¡±Ú€4çª0zÜ3û®2ž¹cÊÙÒ¯ØãK[3äb-Âf˜Am„ë%°º*ÂA‘£ý<ψ˹Àxî_ýF ¾Ì8ÌgCÛüØ»mÔE¦ÅÉ‘gli;ËŽyÊo>´åz ²»Iç{d¬å!ºì©Þ\›¾9ó“aÒíñKÏÛ·ý*â Ù}^©L"k^ŒZÐ.o£Ž,Ça¿¿ ©ÄÀE‚\A(o·@z‹9`+Aû,Ú&ÿ×ä “ø½AZ‹fZ’óg·Ò¿\H&‚wY%Ò»ÕÈÄ¢=FX¥-}C þ8õjcrȶìS¦® b\&¿É›ÑŒ`’°q<‘-òº]íß‚Î0êm}ö÷ >CMÈÙ±3F[<¹žë"*¬ÊA‰æyCŽmi ]ÛƒR¾+s_«ÃüOü îMt>Û~+@4Fvfšôü¿s­ùl¥ð)½dUÖ•Öâ¤(sp±œÖωàÀl=~7#>× ‡.*<ùÜq'-îkvm¨DÈüÂÖ#çâ—ó‚;p׎4/¢žiüŽ‹\P«2ø#xg×°‘»ëo@V êe¶ÏÃ^zi£Gô6èX<ú ðÿ_*»ѽóR{¼'¾Ö»ƒæãšÊüU¬Æ‘Pq̺*Ç: q#Ä@|Õ!lêÿ˜À‚·0‡\Äåk4\ &WÚF«ª‚¿KÂÝ›5VB²m͹ýyNV½Ïÿ®méãÉúâ¾ËxÇ4†ýé{ߌ·—w(ÞÈÚÚ2ª çu%Ý"YãyÉG\¦(ÿ3æ¥3Ä[_k9¦ª2ØÊf>á†çb½`üñ‘Ãîzˇ#†Áߣ›_lÀ2Gït¹erîaô»³-k;!ÇÑügmk•EúþæÛ¼v7mp¹]‰Yo­ ïä¿—„ §zÐôãUÛö_ÉzИ74NÏïBÛñ{âtö‚¤¯{`rÿH~à`±©„È_ÿº?k ©üÑ^ ž›€qÇ/ZœwâìºÎ9¾1¤,³dµJL‚†Òªø‚{CpMcÃý Òªšû½Kú[Híe³1©_äcÙbÅÎ?Î\+ÔˆW»11æqø{—ÛöÕ7G9°yס=zGr|sÃ" „ƒ)[Zµ¤_ÓþU‘y oêbÛ¡ì¡¿–°[ »B¤ |®Ü§‹Áñe;ülÑLg8Ë,õŒ†ÑŠ—í iKé¡^uæîÛ¬njÁ²§"­uS›ÙDï³o< WÊè¢?5÷üDËTqŽ]PµžÍ6ÐMTÕà7ËÉ4à  xVl¢$°@t’*Tuê`„:zEb„ÖÕ¤žÍĘêÑXçsҼ앚S̱…‘fÎô‚?óª£ØcOù.µÌ#œ…–SÇxnC€Ñpáª$³`Ʋðº_gõÒÊv€@kphàH Ž‹ÖŒ8¤nf¬gþk.Ä<£‘²²ÔP”]2v<qàï&7Iiw*Ç}zÃŲ]¹'¯‹C£3Ql3Vlÿ¶ìH5p"†JäÎxúï5ÎB.>3¦–¿ÝižÓ{îÒ «#T­ÞtTËí\ϱéÊfLˆ[jäè:ãÈ»EˆR>¢m o˧&ïlÛ s–KÜ †G²©5#©ÿ˜,:Ì@FzFt’Á~/ñE †ù†ÚÌnÖ•t‹Ý -Þ*ØfkÊ ý'²3›ΚïöXÃ$‰% ²Ü¹yãL ¯ g7ÿ¯d}`\ ómÑÏd)Ì !Gl™ŒŒ‚Á¥'ô$²lBõ<Èò‘0iÞa?>Éä°†¯·×˜²¿kè˜S¸öÄš­QuO*5AúgûJX›µ@²æ+i1Ô…ÁH¦ÓìP$˜}ð+¸ûd^¨é±fe¯E:Òǹ˜ó<Ùˆ#'†9`³×át¨"Oô³^È9:¿ÏJ„~e„HcaåqP’·û>–€:¬u@?&Eaª÷HuD½ú=ÃRCèýÔïiAóâ„a­÷U²$KßÒ[3¸hcÌ@Ò “j aϵ…Kñ² ®dµî„_ºýé @ù†¤G$›1Z¾mãW²¤uÛ¸[NõfCoÿ"–Ã…¶A¡GyPìÏ7ä`Úªî'îÀí!t&Ø¥†rô€°}TtSè;V@sóëÿ¬#EOºÊ´;® gSÖ§‹ÑN•¯ðä"ÄŠVž¥ý¥±µw”CZÕò€×Ê h ž§/„5¸³XÀµ|”q3bì.íŒMQuœã¢Á{?a³€s<¨Ô7̼ëÒyÞÃlòtî|(ò­`zMé‹ê<œ-/ÆšçÇÐ_‹"é[˜gaMx:Ð`L±^dô½.iù½Ê&ò£GõdÛ¤Qÿ>VãEpß’–¶g¹œ¼Yj¹G ·µµðßh¯?‚—Bó}†ÒQ)‘Ó¬¬£"„Š) ·¡ˆ%~ÙQÖsW¬³ ö/ïˆ4•g]bŒ&HD„ŠóŠx©J†:kï&ÄÏ`ƒ÷PÎCìiL\ͽ&àÿ82F%¬hÚ7f¥ß_h:ÿQsTm@Ó™HîÃÆhc)T-À½£Ëû½¬ ¡.\Œ„„4MÞ´b…é¹aЋˆ?ôU4凡Klø\R³*´™ÜvbÑôKÆiV¨pÀèÅÃFœz^EÑk“U Ä“*C”ý7`"G„[³7ªT•˜ ]§ÖK«ëhThR RÁIØ£™<݃p6®v@HÍœ3÷ùÈø’†öõÛø8âdßp)¾«&Sú¨¡ç^U°BiêÓV¤+"×Lã}§•D”ÛjÉ•ª:ÔœkGEa¼ŽŠ“T(röx'Ü*4A¦—šµúoIJûjŽ$Wäd’~?5¤ÃÌ¡iÑLšp¼_˜ÓU±Èµº¡¾›d@j jdý"všd’U ÔFMdÃFô<‘jÆÑ ŸhŒŸÚ¦ŠB¹šðAf’­ÓÄuÚ;*«H“y3/FcÑK†LW:”](Šr£û™Ü@IK"¥úò“^†:Ùª‹p¶tCÒX4–‘Wšþ ÔZˆ¯¾sWÉjT!’…¦Ýô¦ìÈ ƒÌÍ8Êc.´¦n„㓯Z<¯Õ)œõ£Á̵ØQóÎí®·;Õ ¹YÉYÉ쎇¶}5ŵ¿ô'©—cjIÖwÚaa5meWûÆ€ï™G©¨æusëRÅÍm{Ódkvª²ÿz–ô84½9óÛTÂbØ<÷ƒ#uó¯éjW••óüÝ‚ª mÁš›®Ín„X‡m GÀÄ£ |Ù›*9Ñî6ô&C¯™ï×)*2ÀÅ,½ágr¦nÓKoëý¶ìêzîªõpåRHÃmot¿Ð°éþ¨5òpòÑ'¨3»â2T&ÿƒkAÆh“-›~3ÖQ¬ú”kJvšÂœ3\¹¦„ RÇh˜C…ð®ÁV?5£íJàÂ4Kõ1Oœé"­+yÏ/§Œ>’Ó n£˜Œ v,|•¤‹–Dˆ&ûqû/½'é²ã§¨ ½3 o ‚†Ó§IÖÑÞšÓ¶"©—&jÙ¼¢ù™cãJ~Œ®–Ÿþ$t5ühW5@,7„ûaÖ4G"ÎÀÙ¢»/½ÕõPò/>MÓî£c‘ÞGSžéÉ ÿŒH…x™"éMúø¯+ìE&8Ã:ÔBŸP“¸B Fù”ñ¢nºl4 ™øˆ& ŸÃ *gß6,öÙ­f8þ(—6Xƒ ~Ji¸J° Z¦ª4ª©…FÈAÅa¬7¾lNÿ½ðo‚^ØŠ3 MhTg=IêŽuêˆÆ9oc¼e¢[H+vNK¬Z>N+³,¦êƒš |±¤óßcX³Ö¿´c•ÝlÃ#\–(i7¸Ö6XCÍ8®è¿ñÜâ.ôTlãn%Îsm#Zþƒ°íH¢CK×ÞA~+b?K^ë¡«æFw¡m•ú´(kÔÐm¿bÚ\ÒØu-d úQþ[TîͲcû |¿’ZRÆþ{Ñàß±%à9å]v˜TE~õ¯Û[¼=ø1ŒÑΛ6ÿª¸ ÄR À‡aâr1Ú–»d~•> Ó?„̲¼$ÙwVgàý¹_øÆ¡¶½¼x„Íáðfl¡¾7)nQ”?fí¡€Ââ+÷þ'ZÝÁÑâ(µ-wl}¢>è—ŽÌGw´¹æšóå×3‘Äcåp/h3(ä"mîoîÒpHÄl¹?‚KlC;Fjó\·õèàmEWz«>ð²Ò8¡¢!’*„ðô0cZòb™¬A««º•‚|‹Î,î«}“ìÔØtIÑ-Ídl*‘Ç. QñFæÐز³Éö³€éA}Ð/l‰8°·dÂÎiÃÂÎ ¿‘µÜh*´ngÂZ™öëLuÞ¾U”lâ+‘¸x¶¡HßÁõ†¦`Š“tGÑ–*Å8µì] õƒ ÙÛ³0;Àõgÿç›ë8Ê”:.Uk´f•®ŸðoÛ묤‘¼$%Dš6™iÒGž§ñQ\ÔÃÚ×ü29Ó\&Ë÷’[Cz¦ê¥–Æ.X#j]i9;öH@‡ÿ2Ò¦*Ê'l9U³’ö%–rÃtaqñ=ÿ÷™7&Žó¡Å»Ø3[‹!õ|“!â½Fr÷ ¯VµlFŒãÍÁ‚*PrÄIx†žw^(ú‘Ø€™y§ìrÉÓ· =D!1QÚcàÔöÛñ½¨ìP~FswV™rʵ€D˜óÑ^eÚBD}™²²Qã÷zà•Ê£.í¬ùöÔ½Ýþêr‡Œz,a…{–\öG‰_"u- õVêbtDæ´m¸ÞB§sö¦ÓÞYóøP*á'yvÅg«°C†T¢Â’›²ŒG¿Ï·€I»ƒŠ·%Í)³G¼:¥CÀæ—-|ت=èÛ¶c¿ äyß#~=u6«‹á¸_Í%¾jx DyTZxIcÜÁð‰k……Íé¼ ‡rºWbjFp)æ‰Ã†…˜#Å{LC‹Ó6}3Ä¡rÁû#ÝñäÑ~^çõ`|ô£Ÿ0ÙÑ7y¡hÇ G5ÿ 8Ç«»É2ð%ì¬ ’îˆÿÛ[›G:ðE¦*‡cqtš¼ÈæÁ5^öE49Có—fd3{”LŒå A›(°øÛó·À€J$ÖsÊ…ÇÐøèxHJxëWC^ˆ^êÒ“7œÍ.‡s4b¯ød”Ë!̽L¨0Sºâ`šãöV3ZÜ®F˜8çò7µYÀ\og+Zpíð\ (í9ŠÐÒR©CÌWXq¯ujŽtlÇd_ŠÐø¾ýpŒ„Ü …E$1—Èü^xOé™@ÕGÆfÓo´}”¸s;ܤ‹ãŠß.õH‡m"Ø%DüyòœÌôÌŽŒ>ú¡Ý¼³ëG9q±±ÀÎ÷T›h³jó!‚aåùþצž¹Í3lNx &jó°±ÆóÜÐD–w[è´üõÈÇ¿­Å¹{hþ®®2u ¼ Ú¢è ?àØIudÔ¶ŽNÒ9*q,V0Žq —4/Zú8Ž0>&ñøí7ÊA£»­Ê—‚;"¾·ÇjVÚTÆ[ˆŸu Á]œ©SßEòBà¡öouô+wP½úÈ­\ÝŠ_ÎóÆÊf樸Ú‡ Þ!Ë-é{â3;ѹÄ?ª°ß‡Gz†õG–$LjyëzqñM ׃ŠR­¢úk>ZB£é4” ßµ«úÖyEë¢ù_"Ƴär¯3—®ôc·ï]_IqäCvÍH‹Š2žL…ŽfÅWž÷+»tµë cö¯¦™üHïÀbql]º©?ÜÔð¢ï5×)oèß z¡¸Dq‹£-ýí±Í|Âc^ð75©Õ‘ŽF¾ @ët sᘛùñîÚX¥6ñ9tGèðÈt«”jÙnç[o§ù³³G¯²¯(_­y> bZKŽ« G½ã©d¸l(Jæ(…F£ø%7U÷Ô±ŠðþFi&Ôid¦W^WqöîDy¾¹4d zëfCÍM‰Ðµ…®¡!„#ÒNƒ›¥*:C½Ô6('8ÇL­ß…¯Ž™'©NÉðŸ_Hˆ {0¸ì¯0<¢Ë gJCŒ¸Ðø´Ä þ ×l]Ãñw@Ъ-÷„LOæ ÊyP¨3Æ…*nðiG¥'ñn …LøʆŒËG9ëñ[C ã N¾$ð± "àê|l‹Ö¼¿ð"´¬™JÉ@³±ˤj)Ü€Ï#uÍè¯É¡ÈJwº° ÂËMš²˜w†!–C˜~QvXз¹ä Ši½Gb`d9â¹prÄ®m"zó sLjl÷¤Äڽ̔\㨮œi®’Û°~`‰ž½:¥I™”$„•+«@}Vª¬NÅ{¸§Í>(ü7DÚâJ€õ¹ÊÄ9>T—3T=r“9=êƒðÄZßÍŸw‡„Zal‰Š“@§±‡jB¿IëTÉ9Xè£{ó™†N&’•ýǾ~2üö:RÔqPŠÉDU ¯8gE0xI,a­«zÙ©’Ç@Éeæ5‰zÀõuÌ[i{Ñ5™Ò-L]©i—a3`Î}D”%©>öèGàULeö%ëz˲}Õ7ÙÔ…™yvó¸Â°¨;zKb0´©¼åYÇ‚‘6ˆf&ÉÚ–D ±ðSÛ©cè4—¦}D)EENÜËèëy{z£†%wšs †©°ñä(9æ‚6}¯s<€´‰ä9}æA88ïx º(CFQm º„JھĦÕeç¤wOÖÌ[¹sÕ²ÜhUo92lh?ÿóMëJ5±<îkºö[…:ˆÎ yI” M%'¶„ÙøÒºHÖó¡ÉC å׎ªê<è[XÃ!×Yh³¯\Ô´”> ŽÙ/ÖóôŸ}°ˆ³Ñ‘¢ŸpANù%hN䧃.{Š¯ýT¸ì)˜M؆DÄ­cÅp¸•ãà:Lj¡ZüŒ†³‰8üâXVä[¾Ê2 ¨,’#gæɼ.*2µY|Þ¡ë}þt’)³Jõ!©”¥øI_';fßÏ@¸Q’ §ì†C <_C5‚üøhÃÊh–òXUEˆã††6LøeQ”:eÌ^ç‹*å¿w‘ÊÃ(Ô 5ƒÂö °gÐÒ2gè”#…¢¿9´>Ü@Ô0Om[wÌ^ç>+è¼kLêÙ6£wŸå*Õο¾´aëY¼Wr +Á[ìÜímÖÕ¦8‡½Ð6|û-´äæp;èÈÀQMÅ»€>fúój¤ÂàÃB&'Â¥Hˆ2üxHÈ4;æ:#§ ‘ÞÚ¢£Pce¡¥vˆÿÞÒ!°Cø:|ñ$!P!}Ì.”›n§þ7í/8Øž;¿@š{å“B¿o!ÁyC¥ðZqÔ—K”Óy@VâÏ{—sbב°—[`îð ù6mÂÏ×ÔT„E5MvHNøN¸ÈT›¬Wìâï'ð[@]:øW™Pº,:AúAsÙ1k¦ËXólY¿ä}Œ{ÅщQ“M¶ªôå~œ÷íq<’€ýº¤µÓŠÚ凞IÞM§¨ù‚Ý_Øìµu*¶œt…V¦v/I ¢Ÿö4í¬õ¾(‘§²‡n(yhEc²&§: A؇UUÎ85rHå>¸ërb†•æ³€vØ™á=í§Ú¡]U.´¸‰ÃªCŒ7G­ØPHúg¾²xMó™¶Æ—>XK'üÖ˜v5‚Â9-E„*¸FN þl—*j";ú[Ç4¹jÜËMJ ‰ŠŠéa“ßæÄÒU›õ¡Å¯Ã7˜š>àp:hWC*¤¥.%ÂËׂIßJËØÍ£ä…5;m65­é~]©PåVhxCKv£‚´½¨ÉIÀ) „ô°•aêsÝn„Ë¡+Ä ÷.û›P+!¾ÄøíÛˆßoîpYY%ð¢ÐŠö¼5v–I1æÄMÐî$}²€R˜ä}|é~Æ“Ž£'©õÞ ZË\^.Éçy2 ¸$gFwŸáh³½5Íë‘ F$ I.ÎbkšyäªË•+éz#Î1/·¦ˆM¶‘lô¹Ììþø¿B†Ø ÆsØ0n;mi(ÏÊÛ`dhÌ€"hµ!¦D‰´L‰‹L4ͲÄG)/BVÁG‘ÑMß4$²ÄŸ‘J]gtý¶q˜ôhä«Ë½00ÉVǤ«Š,zn³iòÎÇmÕe0Ä™²-ñ]Ú@Ì;¿(tåÒùH(xÙò­#¿gÿÝÔˆW,¶ŠYkàZÁGº­ÓŽã¾äJˆý¢e°±«Ò©¨8áxRïvU¿ƒZÉLƒ&ãš;2Jì®þ Ê(äy&×»ä©ôœ-+À¾/z¢¿s÷Ì gîÅ,AgÏyދگ닞øêîó»½»»wãWbDµÂÞ^öTôJT¤½}ΨÒ÷áOØ!=( æÔ§x—=¯jÒügÜr,_g·¨§³8£Ü½ '7å &ÞIš€¤éJd6ü/˜¡þÇW®£Tèü\CE2†À„a" b˱8Ýuh|®‡»«7¸j\}ì±q’ž)¹önƒ›®Ñ!g$‡Jåü ‘΄•-¹ä²ðÔOwsÏÂAÍ òœÎq¥ ~¦¢\:ŽÑa3eql½k0ãÂ|À>‡F×ó‚H"á½M[nûD7rHÀœ$%éšjž È“ï¯/¿Œº/þ@øÚ×IoTÂ)ÆtxL^Ýë-ÙrÅÕLë™ ”ºÑ°ñ‹DÁÊÓNIˆætÙâmZ•¼É¯Þ{TÜE*Ëæ®jËmXJ¼ hk—:L9ªM 7ýÜ«*){-f½«+YíïÓÜöÍJûQÛ¼éJö^è×%Í Æ gçË›“n”‹Qfâ…–XN•ÆòÈÚ9OÑMëøõaôŒy²OÓf^ËžfT-5Ò¢† ÷g™ŒàÕyäfÇB5€ 1DÐÇ] “HU~s³oS£:û7:?S¦tŠ rCÄšp¤‰}ÕµÅzÃësê oh ûy4±®::m¶]1s‡¶žNÒ_Ûà&½QE hÎúŽBB")^fÉðkòo|Ñøã4Œ¾6Óäy6œjÎÑ –òU×5Bá:$„[@™ª9˜›$QUèΡ 9=]B'àù~ œä‹ÊO4¬d¼õ>©Èj0ðŽEãµ:fOMkªŽ»8ÃÉ&YŸ­ ¾áH©Ù7%Gž§8nûET}f>f[‰ÆÓŽ‘‡‰ÕÜhÕbÓjgX!¸"…¥Et‡#¯\óGxR˜ìÐýçÑC@-B;Gz%êÔ,44Ÿ•Éƒ½Ü¥‡h«+Ç°Ö;?Jij§ñ9©cm[Åw±!êp}–‰^<ÓRŽÜ0Ž3dR@*lÞ‡æ)õ™AÉO¿Þ¿w,”£,>Ù£¼µæ–ƒ3*wx®m9S‡¾äú—1Îê×Í%ƒX{wXŒÈ~±mD†83¶a´ é®Í² mNâtʵˆÏÓ˜6ŸÎlÎ%¦ÁÛ¸i9ó/‚àn8;¤Ž,mÙx%ìH°ñ€a"eôQGË–|Ér=á#qþî. óáYcJ¼àt v³yW.í~H|lÉÏÓÉÐ(²ñFðyûèJ¬TQ/7–ôÅäM¡&ö@ÊkS©ã.ÎñÙÈã¬#²$r«)a ÄÛ| •Ûò=qÇ=§!NdÍ"zQƒæíûÓzÝCá„r ëpÈy Ô¥ £X¬Ô•¨¨} ùøÖšJËöD%%ð0*0Rù'²Âœ˜ØI=R\…¸o¼ê*$ªu9Œç–¾~"…¨Ï&>åÿK¾gj“¼ºØË3m*à×ÖBj„Yb'9¬‘¨–¢›¯ ƤRv\ÓŽ-}∦–¢ºÍû&?ö÷YüM½¿¹+nçmL½ˆ´bI&‘|½ÈüO‰W™¸ïwãH§5›F¿xwpŒûÿñ7T^Fý±Qpø š»Û»>b8Eíu&F¿ÛRû™Ýûö½¬±r‘I­ðz Ö›GŒÆ`T(dŠ©ªi'Ù\xrŸßµ3™GѱÓÖÆZ{DõŒ4ÂÙû`K=ÍUZÁt:á·±\õáˆàEB×Ïw~­™Í @ƒ²ºRÐÓ; üjŒ$ÎN9Zªäc:a·_ðÀeÎ.å„0"ÐPBÝL&òµ¹BíKRóä%åÀ»ÚòPʇYÐø/µL¶ûó4$MÝ”u”͵‚7 ®<âsŽVÓ1NW:÷ké/|Y€"°ìçâwCF³ÞI.ß•šÂÍG.!Ãï´ã¼RY&_Ž¶% 3šß¿W<*a Î"g´`ª¾óþñïÀ‘Fú,i7N>&FörLû›2‡‹]1¦wRM[t@o‰Áú‡Ÿ×‰±æKÀsÿ::ØÒ®~ÿ‰ÅõdÔÂ8ŽdÖUíψ]Ó'O‘AKŽ&?Ýð…4Ž“=wllE?Y”ž³ôýàCcU@¶Æ@°ð…›Ñ1¶&ódÚÉö¢Fó_U?0ƒ1M œÖµ9¬'Àcµ7iK¢‰#ö„5XýÖ‡&¼ð)0æÆôá¢'M‰ &\ \i yøsòª([OÚ÷-yEñºpp^œ‘Š2ì#R•›–«cá¸ò·]EÑ/)yMy7é@›· ÛÂø¾.ù.‹‡FÙ«úòç\îbSåÝG¾ÝZð…6#·av4š£‘pTÞj¹\—¦½ˆrZ*m]£ZV héáãŠxYœbXTŽ:áuçæî€WhÕ TÝ~?þù´oO´õKýª W,ù6÷‚úá FtÿÞ]3Õwäûžüšœk‰HG §Â´I—Xa(JzDð;r  u J:wRáÄ襥<Ù°BY¼BŠhåÕZ²íE&B¤Uȱø’)‹—{°–^#fæ„WØücqSM†²¿éIúÆŠ%H“s‰ L*R 3»sÂ4FOÎ d‹&ß'»Ôôä’ØñÕ…ЋO ¿ZηäßØÑ*voq„~ÃĬ„De‚ÑUDú ŸPØYŒ`u¥¡rÕa ðžï[žÃèF{B·G8-iàð5¶ÖÄס¥‹)Ñ~0}hóMh3³5'Œ€1«~̸™@càå!¿¯mó·¸Íh^Àõ…³ŠVÉ!”°Ðø,`^#4 êÖ%†~53$â€~ì Zß ·£V :ç¹CˆDaô±³Qä/ߊæ²þ綩\´7Ò¡Ã ÊɦA»¥`LÍĈÑ‚$p\!^ØFßÁˆø%)&;ÚÈh¨ÊÌlLÅ7”'kzÖqaÐ]‹Ú‹/L¤i O…u`!5ð¼ùÏ‚ü9(ùq7ù"Yߧý«—Óœšªœ‡šÒÜ`g¦3=¸“XŽÈ–®ÄkãèÑÄŒgü®€0©…ñX Ò¹\h.]˜ŠzŒè!5±ù\'Xž ž–iZFAÚ ­Ú%T ½±òþð-%öÚ˜“‰Ä/tŸwfcª@‚V'OF«ù`\ÌK¢P†—®ûcµ/.gj*YÕé8$çæ´à7Õ¸jƒºòî ñ8aF‘ajÐ-™B]8çJ%¥«^ÿ_’Ž²iHÃÎC…ÅŸ@oªñpZ®[óÅa'ˆÈy³÷®iU‰ žyò¶”ª ¡ëÚGœë]–²º|;|îÅJùûv;œG[á¥#,Ñs.ÀSq)LíF…ÃÀÕ¦ß{•‰cÌxü°)‚$~AHªY_¿@iaôÊ]™±5+z£aÊšv•y8TÇ·5!y@ïP³™–Ot,H!¾´ºüψïr©§5D¨Ÿ¨¬},C1€qÀo]‡`4çe`çaÍgw"5ÐÒ ˜výQg{(Â’Ðæh—‚y`Zê“:éºNÉV è 3.—(’·þÜ›ŸøL”î9ç®’7ílC”€S-mult{Êp¾¥utlG]+êiðƒ:ÚƒJN®Ún|øìøÛf˜‰Ôð†h…_Ý‘PVØ·|ûL‰ëv¡¡ujã´·@¹¹©èÎÇÄøKíå”üÒÑ‚}ãlˆ°ÈèÇÀ3RÿR$dw¼Z§'H š‚ôU{´µµ2á›é‰P™äJÏÐNL[¦­U»“]ë5ʤš>Ý@ÑÌL0¬gv ²ù¬DäîAx]OM±(ÚNº±â5ôR²ü |„œE¥ ÐWXX"²"òÌÚb_‘ò:¦-¸PÅH'iÆUÖI¯šÁª›èNÑ©ÓŽnKùq3Eâ­ŒÒA¥a,©y•,%/5WÞà ¡íºžbì†(Í Ü¼j¼+BMž™®ÿM¬Iš9&ºÎT8Xü+®5°Ïfï`Š¡Æ@ó裉}ôοê\”ü Ün¯ÿOèt—´KÖ>­é×ø'EŽÑ›Ô¶Ð´Í°i(cìƒ,Ÿ\)¡T4ÿÒèä½ay5éJ @ñˆ¾ýBàu_¶!sav¼n¦s8î›ê°³M¸¶Q` :•4Î1ÉGzwüý†´•Z )%nLpž4 ˜†˜‰|‘‚$M&z'ðð%i`^™»í8”:_|¿˜Q(?dœpDJo.Ô‚ÂLH™¯0(=mC^Š§DãÕ´ë뜣àÔXÆ,0±… r†¨¨Tt¾¥¹D7%Y€Bù0\‰•®&&†iüH…cX—ðˆÅr3F¡úÐ U²UϼšF®º›Ô$¥”7°÷(IÈ­IƒYʱ±€±¨á\ŠçÜbgÝ52cEÊ0`Ì€L”CU¤¡{ÿ ­S`È7Ô[L¥' T©¿”M.A&jwsšµJrœp$S™dO"nM‹#IsÅzn0k ¬eÁrÇuú„/ÿð%Ç.‚€#án¬þå–ñÛÙ¤"#°a½É#oPCeQX€D­‹:¡…‚š#f ABF¼í`œ‹4W¾¶³±íùId§çò“FYâ .Q&&á:­êP„WE<ú%õ]>šáð-b݇ìR¼Ô$ôÞg½pb—˜’£‡ËçôkZÌ(º.Ÿkó´¬ZÿÅEG¥ÖP,Õá×°š*ñŠÔ±ÉH%VKjN‹>ð.¢¤ø¢o Q$ü.R'4:4=I—Më(È”ùÈ  9››ÔNox&€)È¢•Å>Î;þÔRú‚©íDùs¯h]4àƒøä®àÈ ^#w'¦EGè ‚ÙYÅU ϱ•ìb=ÏÆ¡Gc%²®÷¸Žå[«Æ |hf2õý³Þ]9߀ƒÓÖ´9%âʃ$liÛ¥ ѨғJ˯1ô™û6‹‘Nˆ¬ÊË=%ü¢Ä >ˆ+xiˆ¢¶`Ûî…ľØq)¶Œ…›-½ÛÖŽ§QIQwféD»Û€@PSvC‘ÏV¤c$ûyH]–r=°ÄG$;PIa÷$×UDt­"<¶M9F~{Õ&—Ál“þ\°W°Y .GT"ú‡~&K áÿåÁdÕì›Ìê´ýÙ•†±Or'Ùªý‘ËTüMû×àw„_« EÑÅ~¸ãå–é`¦ ˜[Öõ–õBkÖ¼‘‘“y⥖½°èfÁµØp¶ì¬ÎTÑÒoµôm­Òy[.¾0j¤AYpxõ£ÍëfK·Ø±ÛJå"ºž&Ũ6 `˜,uŽ·gm²W¤¥Ñv@ó˜ôTÒDHºefXm]oZ–}iEõ¹ìÜæ{õlf&AVÙC;i7'Údü º€¿“4Â~¦½óú+&—ÈEnŠa£–{wÒ$:A!â÷Š¶KË…ü ±ûšRåÁ1§;œ… X~éHÕa‡7ß©:LÝOómŠÕJ uhå¾///4—|ø¿)üS-9Ê_m‰u9>G!¼g[Þj(ò~>лo)Bpüã$ú¥–HºÓÐîÞB”M_hioLÚí–ãèþå6ô(œ ùîØTc‘ãÉ´ œ»Ëœw ö=k§Â™äªU>søbËêzV=ãý˜Ńphß¼«éÖö)Œ,Dþfñ Ð8Ç°¾ð Œp8˜àðÄi²Ï0Û‡u)BÐH 5&:JŸµ1µûp°/ÐDòÓUáŽi¤ÓàOø.P:‰zˆ¶é臵?¼ êS=ÅqŽ+Hüƒ %ë©/™Ž«—ÓDž"Q©x˜Ä^Å™M9'ˆnŠcüRx® Ô¼ÞÖå á?a°Auqe˜ ²È0³°ôd²^AsõÕ þmzõpÔz×ñø„Òè¾F…£Äº:uÀ­p¬-l‘EHµÆKXýrºv4TÌBÊUÒ·mŸ4d1³–+¥pÂëqS®\1¤sˆŠè ÐÐMgh¨›ªØ*ö1]§f`\Þ_®rþ†ËDfM>bM€Äv¢ùÜàˆδôw¹“9ܹ½…ÄJΙcM¥æð’4£s› +*¯³!kž^òüÐ+,bÛûõdlò»ÉsÎ&sˆˆ˜›ªÔeí¦7€ølêªäé1ä²VB Ë]ðÛ.Ý%ôºÀRÝ ò[GZQ/þ|OJÙïŽkò’uþŸ6{/a´»Í8Òh‚Øÿ4Dãb-Hõ€KsN\÷Up„36<³`—3tk„Bv‘â´^–ö­¼Ô+ka^0CdPCZ¤Îæq,ýœ£Ué}‡‰8Sc+®u?¤\Ç5Ê|ÕY–ÚÚ-,(vmÁ{¬åþŒŒ÷dÍBí5ÑØ°³žàc*MÉ~= é:ÝeËÞ˜<Ó8û}Q#¥'kVj2)ñ. €žm~ŸÛ¥Ýt4R®^[΢a‘ŽÎå|Ùiú¢ W@3Ñ4R× ƒxFt.VË3r܈ Äõ_%„ŸœbÆ8”Š>B8Í„rj¼ šDA lj_14äRѼ&ÉëH¾n.±Û¯Œ9DAÏ;Æ`‰Î]Ïmäå5&‘2Gƒ±mÒ4ëç\çXÄÑ€¡ý¸6"ê¶ôl¦‹g\Á§ÉÕTÉkuxˆrbûf_„ûPkàýÒ¼ uI;åmù¬ñák°‘íj¬Á‚ßGBa\››ød¡al0ä@¤†UNp ©ìP·QDh$6¦î  µ ÇfÖÙd_gðÈuŸ]jùcºÇ3ŽóÞÚŽË„å:|.FV‹¼î®°1ä@!ZbTôÔ 4²1äÔªÆuqìÕ5w…ЬwnoÛÁDhÉàâ„r>‘툈·$_Bi?øîQOŸŠÎ5$jmr?$*‚¹”ÃK¡yÆày +Ü´ù>´yƱ-Èé‘‘OÖîâ>rÕÅš«ÌP…l¼[L0€ëj*¾\µ!{ëbÚ&²®¨‘Õ›™DKIë)ŒIJ“ÀBú¤iëO®‘fPï2Ť.'\[üœ‚ÐÉÃæ÷3ˆ‹ä-82ç6mªE=¦†îÒPçæQNÒëAÇèAñÞä#; ¶Q—gF`ÎÕYËí É­mFjiY=©aΖc;ònîËh1¡Uc°Î1 8´c3zCLáMž Ä~C{ý(öÊÖ* .ÒŒª'õÒ8ÈvuN·P™ÈL%í4?î‚~¾o«Ê°}Zfs.ÙUwCi™¢Î- xÜ%í°ÎŒ<µ¿!Ø ÖM¡Ò¸$;J@£wÁx`¾‡H'¬®ÛæÇ×ÁätåºÁ€—öó·GœuN¹@}”gÅþ‘¼ \ŠÙ®“d:€æJâôeFö~颢"o =¾õ:‡ë‰q¼Õ†åZ¶$ôùœ,Dô4¬æ… ÍñXí-oG3þW$/dÑ |¦EWð‚å²#}ù2 Æ‘À!qð|C߀:·^‰Þ!ª{‘÷‰¢ çŠä´Þ8?ëJçS*£PVFdfgEMÆ éó\ÑÓJñf‚‹€;S¶V]x¶JÞÖ¤qpÍ’Š= ~b–´wðÅKE‹Ÿýá»TV!ðÚÂï. Ng*¢éº_ wæ©^9pÐÝá®xµÇ6âãO$£(á²½˜€Öý"ÄøÜp<;ÚÒ)ij}øä|ç_˜ÝÊ{–´cå(}YŽkªK}Ù+‡ô­Á@áËÊÐÂ)rˆsjZVã˜$]×4°ã#‘Šÿ3"i{8~œÈ÷‹DÙÆ!aéùç:åQú‹,‚äóô‰’J¯ ¯pÒ£Hô• X—í¯VLò/’}ù.uÁÙ´#[ÿáŸÆáÆ)”G¤bé¨?(FXOŨ{ŽˆŒˆqú¼'0LÏöÊIâb`}(ë— ­ Ý•._iKˆ½ vKûˆ!gßYgŠKt’õpQÚ’ñžÎh% T$€æ$½Ô‹rúΟ˜›<#É3÷…^ÖúúŠ/Ð?{\Pæ@%öçs~Bs¸öwºà¢³¸Z.ºnÅ{@æ7  m·I+‰¶¦ ç7ê‰Ñ®ÿJµ³‘–"ü«!Zš‘ú6yþ¡*´K¡Î›Ñ6Üáî2yM²+ë„I6¬]Rð‚IçˆB¬òõ0㋇äÈØ«ÎOÞI×ó±Z$…øœ4«ñ3 Û†>†¬"QbI;×SÚG®tpwx-¦ÉKUtêbŸlrÃ:p× &aÍÕeòÚT‘NØ6«¾©4cûÔÉ} (ýo³gkd¢*sÌþÈåvÑ7£ ‘vˆJÇø±ü©K fü·žÄHë;D5üø¹ÐʈœIL+mDZ«6j Çû/1 ‰!5§Hiú}ˆŒ¾9Ò”¬§ªœÌm„¤EÚó ‰ .+0Ô!­ùvh„ùN ŠTp“Ørf**\õ IÑ«ÉŽÆŸîöE|`ÝËn甲Øi!²_ 4t­L×Âçßò‚ru´š–ÍRD…»³!7"•æçÇñœéê7د[^“8ãÚ’3 ðáO;m8Ó4y«‹´l ¾ÒjŸ$Š®Ø½Ò­ÌzÉß GdŸ(uMp¶Ä•ª^ùi®¼«B­tQ{ÇqbÛ9ì¦Å´ÎêPÑùu˧ÓjP—2v¯¢¹Þ7©`ðéB$‡ï$`°Ÿi·.ú¢æ(Ö¨ЦÄÁ‘'ŸCT\ÎdÓQÎQvQ¸áGgã袖¶­Sᑹ&8Î\‘Þ4?æw$ ß„zëç'¼óÔgQ¸ÖUÉø™¶ ]N6¼ó¶ŽØ¦Ž=`Wª[Û‘©d…G• íø¡E<`´ß|ÕR!=¸ÎV6$q*–V4Bå’™DT8†H Q„Š£o˜ò(žFë(¥¡+i)šèå¸ÈÛÌ %\JN +ä†ü%ˆ•ÇUÀƒàÎ3Ρ*:®Tø­àkœÎâs*ÐÐÎ*ô4»þÇziÓ¢GÑÙ™+Ä.Eåx˜8³sÀ€—”ÇK¿Ó†db(³óÌ¡dÒÑÖ›‚ÝHŽ!óìèOÀT±EÑRKù6LÒ˜š²NlR•d@“î ºÌhêŠ:JæwP÷3øGSYŒŒ†æ@ù¹EWó¬žþWgÜ•tö_hHìV«Äq“;úÃ!iXõØwF…<ÝR»ÓO/**Nø–E¿*ÝË讶?aŠ’Ô¹(ü­jÜW2Ûá ¨uÎ!·¾¯*ä]‡ƒ…ʙȪ¬bÜ¿ÊE#¸hŒ·–¬ý¢Ra¼Ýã½jÞfϽȜǕ۰E*^mŽÏ©D¤Zõ€Z¹¬nQ0•Ø $Χü,h€å‚@ÞM2 ¦a7ªà¿! Š±Nžá2æ{0Výb¨¼bàUßË ñ9­Á1£AˆrbU“_nC®9à Q¯iRè|0NVÅ醳é3€Û'ý«FXj<{»ÿJÃrŹ×]åÖðˆÅäÐìïtVÓÆä¥ $Êer`'ªª‰")•êžk~šÈìFtäÒb™™ÿ ¸'{÷J_{ŒÅKíõ‘»sžùC¼ˆ6ß÷ç=ù…¨U|ª¡ 챆kêÿGÄö+Ë\Ý^ßiV1;áØ$¿Bo¶mšbhÕ®ÿ Êã.¸SK‡¯˜“·çr$–P«UpNó¥Jƒ(»J”)m’_Ë»8ÜÖ…Ì C‰@2•À^hˆ«jØÉiè&ÆU¹ÐÐ;ñ.í½·kQ!ùLCÜQ-_¤ºÏ 5 Ð1wUGü õL42(Y¢ /AaCWWë5ü3$EHèf:ÊÀq@WŽr|}údÒ|aïꨚèM¦[.ëX&`¦Î“)©ËbuŠU!܉̈ ‰2.=&ÌD†Ü "¦F6ÆóczÁ.”-Ýx÷¥Ì”zÞ]âƒdÿïá™Ê§u;³H|¯a4ÂúÑ='»WÇf\+úà—LôÄ™„ë8öw2»2‰›ˆTJ²¶e æ–ÉⓇb¼\"›Y¥0Î8Ü BUêl_2HæêÇÜÅÐd­^IÓm¾ÔWíå8ƒ'ŲçÁÑòe¯F0|ÐÝ%{ŠÃ¶XÓøò [éÚæcÍ’°nSáèù8ï:ójv½ùU>ðÈCŽ'• ýhUÆQM[t1«£÷ãÈþ i=6ÉŸU ßi¤¤FªB<)'ØÜ϶óûF WÀ¡ÁDš4YÜrF¦ïë:3á¸ï"XHå@–Z ¤š&á¾¥×ß¼ SeÊÏ{Ž˜±~êÔ4î€qµëâë@º“ì-ºšsÑO߯QÖ)¿`^‹c0¾_¸™*¬L`– ê$½ËÌÊ#·«-Ÿarr›ÅîÙ†‰Äÿˆñm”Üä e9™9¤õŒƒÊõ½<ûž[ý~À·«>­øI†b.C%‘è~)m^ˆãÊn<åiI'HåöB§¸• ñ•g‰`,Ž:ÍDL{' ÂÚHìÒÇOµDÑÏi¡ç ˜TjTUŠÝ&·:ì; –xhʉÓ¢&òŠò+…€Õ zê€Ô|´ð-q›ÑtûjŒc½Á˜„!™íc•õ™Uþoµ~Ù¶Þ©¹L€§qI6¤)Ëd…›ê®+»Gj_1±åÄì•\‚K"íÚ`ÕÑíø „úÀ´>€ï˜ˆíLÕà. ~æÚf}íëC¢ÈèŒãSüz¨Œ•U’|ä‚Œq(ÊòÑŠz\ÐK$;ƒqFÙ~›I?A=,ã\#Œ[†|Ш¢Ø%¾~³F¿M%Ù4HbGøt«Q]OòykØRêQˆ>û«»BeœMÛ¸E‡\ zQÏÄD=éÚš R4×whù,ì7ô±KÃWþ!|}Fa„Jº8®QmOx®JŽ­µ™àšª³Ì¤.Äš4ç~tôö·^Ã&ùŠ xR/É6†ÿâµÔ© [Óéêp®f!ÝÁQ6jã²N2eK·C÷-_ïЪ`üJ‡j üé•ÈÑ}Ðj^;GL)’ô³MMªé–‘b’¹›¡>ëÕ…X«…hÄêüÒÐÿ¸Ió‘º(×?…Á,l<œ|•<ÏÀaé†ü;fÊ"p‡òAÄz–¼µ'A‘þ? êahJ_Òo'"‚Ú«oíÒ^Я›åúš&åÑ ëêPç}V©š_Üu¿hŸjÞH¶U ‹l)¡›šÊÅE•¤ŒV‡­„º‰_¡K°yÖU‰u÷baõ•#Ô /ú"ó®æz+pàR¿aÍ.f1pM²ý0Œ!(9*Uj(É¥w«ÇK Ùâìk¸é^’.4å<ϦÉ?¢&Ï\ߺƒ8•±±C’&tô¸vfs.Õ³3&õL§2¦i\؃çu ÔB8 nyÂ3öMÒJŸ£¼ÔnÀEXðMò(×EÒa¡‹í­$id&í¥i\w§[‚(FŠW—àKË.ضôñ¯\ýè$…ë™Oh/È´=L&‰º%;~"V¯·×guž@™U¥pw2{εhÚÔ!#·F¦ðµñð”WAÂÌ MŒöI¸µGu°4ëÖQÔ–?á7?ÏQÈãGU¹"쿘ìœG®ÁóŽÜ‰d8ÅÔO.1¡„“Ň6gzm6¤ˆN#’áïüÈ]ë¬ÄÒóöí€ðPWõ4·¦+ĽÉÊ$Yí¢¤u”XflhÂ/5D’-Å G…ó;ºÎ}º =æC2G™öŽÉö—Þ>ðé_ª>Riçø%OÆÆÛqtÈ^>EM3‚Òÿ1á¢'tŠÐœãH1ù/@µùG¯rÓN¼opU%Ô‹¤ªÂð¶dÏV1©BA¥“ÜH¶úöw|mà*¬Ù$›*úøªÄ”ÈB8×4›Y@,ùþdâíèù(Iãköí*U!EØ•JtG'§ÁÌþŸÒå䢨±¼ãû Að‰*ÙCá„èKwüÜeòn8ÌBε‚årUöõ€ eiU‹”àðXbÓa`ó­þb“ Šöppt`AäXZp!¦¶/´äÉ«dqÞ»þ¿ÎÛ5 º·¶bïÞñO`_«xOGÝvV€Ü@[Ö{%\—çZr|p½¯£#w¼Bó&SP»I}ÈkwlÀpš6%ªW“^`¡œhïH¿ø$õÖ Ûï~X¿‹¸Ïó‚ÑWçÔOJ6K¢f¯kÒ(p:Çÿ‘ínGí¶i¿%Y-êÒjÙð›¨áïf†è¼ßU04j?ÖV9éjk|ëùH@†å`|̱B਴­¦* ìDÿó;¨áMw ÍÂSDœJCó {Ûph-Âɸ§ñß}]ïGaN߈vØLû} ?l_67¹³H×#¨jï®]Q³ ù™Ä\T¹ò¤åª+dô¾–!èXHdÍg"¹uáÅ"hg¿ ùU ¤²p–¶ˆÉGi$ohkM”%€útÄßóLΊCK“ð3âµqÑ´@,ª9Ó¤µ£°o‚ˆO+¾ z0ç¬c²Ôª=ÍuOÂNƒ4_²ö“H£E*îÚXSÅ(d zœKê¨r¢So÷ÒOmèNRN 3›¨N¤¾¢?Þds5Æç¾ÓHÂÊj/«T¶Nâ\²@Ö9ßLŒÏßZ¢v¡[¦)Ü ¥Œk ð<;ÑjÉ¡±A6nOÏÇ[l*®‰†´† ±üôráb@8 ÑÉ×Z­¢#ó%apåK@_§Ë £d@æZ±Ž,Ù6©Xâ¶Mþ{êiO ç@¹a sE…Âàøýœ`ĈÖp8¯JTÇ„éoQÖ-‹iïŠÙØ4¿ß-ÈXŠSAÏæ\qÕŸš‹œë}H^ ¦$þÆH hañO´*ú­×Núâ!iP<Ëòî{ ‡ž<ß7Ù3dx“Fϯ¶ …¢t´B+QÅèLoÎ~bˆ‰‘§Xå´OŽhôñÓÜ’Ônµx ‡Ñw¬ßôÿÜ›õf®P oi‡v²€®?ïÃ'»ô¸'½Ø›Ó,¥ÇåJOU”›0×É¡+ü£¦Þ£u³7 SžÂ¶ƒ=N i0ŸS=¶îûE:¯,®9×#+¢†¯€jU…=t^;µ¨]R#Êx6LJ©l©Rs7ä3Üè"ðFKpUOé)#{HêM°Ñ‹µG¢˜Œ§ ÜÐïH¯|Eb&ë+ú·:T92Bü¡9 +î°„èŽótIâÅ ß}ê‚Ð/ëÂœ^IP‹Öm»c\[Y|™¡(õsF/®ÈU>þäüÊâ+›^Q£Â‡|¹ò÷Þß·þ¾ÓÊò•¥G÷=kI&Z¹‹“܉Ǹ¼r—Hš!èà ,‚Öxaåî‹»\Ö¶–p'Wî¾»»}÷íÝÐlçn²ÎaZ¢(Ä™•ÞÎó‰®ú!àèäÊ‹—Ñþµ²ù.§øõ?Ûü7}ŸR¶³wås½ÐägOTPóä7zhûÌŸˆøo8]he$ Žu86 ö'Ú|àÀHʱ²I_µO»´ð9CS–n¤’ß6ñYâÀ3JöÂq.Ñ©—ô ©íœÁjCŸå½¢Q-‘ÿ»¡Ûmõ‹¥RÑtE¯ã+ Ðõ„_¼?hM“E$^ù‚“+BÔÓ‹“ÖE«7Ajn2 kÍ|QÀèâ$_Œ¼)A÷è“&¡€Ò’jXù`ÀpH\¼«%B‡Î‚Nòa¬RŸnÕÒèSüf~º¡èv¹èžÿæïS ïó›y<$8‡Â£jr D)*°¦ ’` oØ~ ¢­ÛÁý—Å3_æ‹]ô™Æžv¦M7gèèµ³™TÏð„¾ñ'èA‡½bmxŠïò*þN¶i_j‹t ŸxQÄ*´YÐfÕ„0ŠþÿÌL¶DJ¤í—MIñpwÎ1\øa¹à‰$=R½àÉ»v.NWþ§ôKžî@$¬‡¼è8È׈‹ßƒwR.²¹T-Ñ¿\¨ÉïÄM h¯‚jè–ÿªU!pBAÓòùØDȃ2î®–‚lT}›¢»·}I 2<`qÁéaãto,Ø°©:ÐF®ÝVílÜ|¦ÉÓÈI2¢C\Vîœo7 ÈèW™¸ƒ¤¢\L^»?¢>ÛÉÕ¤3w*=+£×DñB€ô{Gø%&¿çxÎjðSækæ´Å]U½+‡ N>÷¤b®H5+'áЗÉU/ ŒŠÂO/¾õ4öŸ¯v¾!¢BYÃå®`¤@Xjz'YÍê¾ä~î³×.Äš#t]P/‘agj‘å%Ì<¸?;—g›K>0ëÒ¶BÐ깆Vî¡&®é‘Å>,ZÔ­%cäE;žL=7 Î…Ê.¶z¡ÁÀØÐ’6VÑ6wÚÑòP~ño+ˆWXå8­ÚОð—åf_–I“Ù4þéhã&7l‡³ e¢ŠöÞÌþàÁ3žœBFíÆÏøo¶øŒ+AÁÈòG6G[=¢V*MfîçUÈÚ¿}´õcjm>X(ÙzœÒTê[¤¸‰m‚ÌËñ›a9ék'üî ºZú "Gø32€•µå"Âi8+Ê[6W<Ñ% wÖaË˼Œ¿à‰›rf÷dÎÝ;á•9I|Vžµk§d'ëYPgo{ž¶µh?Äonr´Ò`èš|ìâc[Ž°sÊc?<ÿi‰!}A¶3áý‚¦¶Ovi~»¶>ðºPßWz t©ºè˜Y¦I,ÍHg*D/N8ñ† Õà (~Xþfî7WìA¬Ÿî%6luÜŽ{’™[^Y;Í×ÀÊSüžì´’úÑo5Qô(EPæþ3Ò&ýBÛÃV¦U)åÐÄ%¢ÚËã:CUG¾øÒŠË~?JP®?Z é‹îÐ¥eèBK]!ù$°ë.·t Ï¤÷BËŠ¡˜.µd†ÈP@Ž“Ús~!;{‡,ïè­Ø#2¸cg™Š¢hUÀxô-Ÿïë#´—)ûª§Ù”³jQ²è“Ì3-3 øùWÙŒ¦þÅ–Êë[á’d¼¨E¾ËWG9®âæúzÓâÖÇ[´M¾=ÚÙ»œçä¥üMÙªÙä£Ýè/²Á/;;ÛÉRR©‰Bñ$RSÊÒ˜ü¸/•&äÌd‰Ï߃’Î+°PQ¯á:Å _)¸r O«ÆòâK‹°1ðχ!¦{}ª½n8yµŽpìä5Ѐ6.ûÁûWO…´æ'd!CêzÍkjæ h;ºî`RÉÃÏ.3“†gs›RHš‹Žâ¢sü‘º`¼F,Ð@ª%{OnË7:@œòûÂT"’éÀÈ0âšUõ\{-RÎ{bSÒR»ZT>Ò;`ÊŸW”°8Ó¤—›© q⠛茻.vÚÏB<ÓXí›àù<ÅÄØP W™`KD½´mæKÇœÿG—çšKê¼~½¸—¹>Ó^‡E~žIu>ÇŽE¢¢ªqÀ»¸%|)‘ùÌ·ä¨|þJºÒV\n"²¨çB8y˃¹š¹]Ó3/ æ*ºë4³ääåNy>‰=˜¶>À@x©ÉX5J¢óòÌ©öºüáŠ'í³·þ«üGãmt3Ä)\¬f7ã©ôI‹ÀÆœJež9/ëh’Ðe){èM„(M“õ|Hà ò]^›©üÖ78‰”„ùEóeÃèºâªf²s›‚”2Î?éÅÉʼˆ£ÐÝOjrx¹ÞºLpn€»y_/Ì)ø‘átY4€ŠrVç…†Åð“Áª<Û; ,ÓrùͤÒ7z˜v—¦,IV9b ‹´ö>¿¨ìËM¸}Òr4®ßꃛ}Ñή×j¿åf ¡Õ„Á.€rÚ9‚¼·°Áz—-&[¨bšìJ?£Kù –­ÓŽ LDÓÅ.àï¢@µœŒ»fö‰¯@ñ¦  ãÌ°Î:¾jÑ„îﺴøi.Ï­>‰ÑTM’Q¿:ÌÏç°$ß ãŒÑT%…J&c5æŸûÝêsb*)ÏU‘Ë’êQÈ‘?Þ~Ó‘Nxwê7Ž€©Cƒ1ÆHAïñinÔíjƦBúÐÈÉq d×Fa²ØÚݵ•žØJ&MÎ*ÏA/NyÝÄúë%Oïb»SGiZûEäM'ÖHšÂ£ãW8&:,µ2ñ©÷káû _:õË(·ÇîæN™úõWá©ÏGµµAÎã¦4º($!šƒ5ìŠQ¨Ñ¾JÌ!iý(õ–‡I¸PÑ,®½Z¸L2TÉÔ&yŽkÿì«G9a[> æH%{, 7rë\O¼3¬åGID™½šzéÀz”‘Æ&@<ñãLóÙz=U©8×Gç3žbN—@JN1¡®°?|p'T;'É@¶úRj£P"–ziêÓÔ®3¡(]"E“>K°EaÏþLøc>ñ÷ž‡uÁß{¢+÷h­i¤€N­?d¦¹µ'æͤ=Ëg¬!²ji ~ŽÀõLEm9ª_\aZ'SSÒèsInxÚÈiev’Ì‘cb‰0ñÊù~é±ÆàÓRí×òäc‚Ô‡"‡™h‡‹{04œéé¤C4-'¦" 7O&´f¤<Ï|y’ÒKPÔj„šÉEˆ7›Ø|O‘æ‚ãF¹—Mï -¢ Mµª¬“½yïÍEõKW)#9V¸sØ*^qù#šë´»õëJ‰y”ñ$ÐZÖKÔÿi)œª—[ö ÞÖ\²®2«NF¶Þ C« =(!\îrCl“ÚRJÆ:žeÆ õÙ=ÄIÐú4ÎÍõ-\§ˆö¡ùÐçTdqô3åÑ/5Mf…mR‘Å©GFÿ2ïðf*èo Í%¤÷–(¼w¦¡ â~Y)yç¢P¥’drþ°b3“=À­˜J&ü»d[À,”a«Ò\ì‘Šz˜ìŒ÷É?”À…ÜQó¸ÏA#+.òy~K´´ño;†>lq÷Õ¿“åå?/Š¯N ¶ ·föŒ“®*T$¡‡MUŒýeê“S`óê¨+™‘¥¤0‚(ÊeEÏëQOÊYpG_tÔr‚q#‹1BÃ1LRÎLØ407'¨ qàOÈX"ó̈Ã1¢"ÍO@’‹ŽØd·Pô³Ì îÕδ´÷Ì_›ÉC~¶âúâðõë†ÊŽ´‚ªHš(ì«Ðf•f<^‡÷ÝèÈ· ‘_‘î›üàÀ2¢Ü•Ðìuë¶ÄA\Ç‘íÛØ2ŽÙ»xò:‚8OŽð·-²ú79èðØ÷ØV %·È/ÔÑKÛ6Çí¹¸×ò¤É_]„”¤€.+¤oóªTÍŠ9¢°­l×ÖåÆwzƒ‘w £kûé{-ðà½Ï¸ÚÁ†œÌ5ÉÛ9m9y܇0]¦8%Ê–^¹:¯ ÿ¦ä¿²úo ³\G 8UÒÐÖ¸¯öiÏ4âÉ7Ú®È)íde5†'0#ÅäI{wÉÑêj4ez?¸¾`Ž8¹Á]G&¾! T­˜”É>pÄa&(0Z¿ÃÕšå‹pbÑJ!¹ÐÛÌt¹CeVž‚ò¥„ [hhªƒáèõè‡ÈI×ÒiU”ð ?m蟃.ôOº€¤¶ÕþN;ÒšÖ3!R¦ódç@MiôD»\ËR©˜ÅNr5Kòy=*ðþd%'fa/ºò™”E+¬› É,4uJZ Â3w–90ò™ZLC= .R¢#‘†oõQ–?ÐÅ¡àÈ‘wy”ÑN‰]T¿Ì­‘'.Ó>é÷oPf¬_‡N=xð¾@>|ë>=4A¥¼Æ¼Ü$2jšç èëA®€k]H"ªªàË‹“³3hGbŸjHcaÁÂÇ eáÃ[ÎVaÊØQÓrvT=ˆíüÓŽs˜i1åò„U¶&L0ôyžX겂Lª¹°_\Dâ\î×´y#δÓÛòé†ùÚŠÅŠ8jÊ‘¶V˜Ú$ôãÇšdÁ 9üqN… ã2É;¶–Š?°³pBæʦǻ1N1kUMÛµqÑ,=)Ns»Ä  ô•É»®[Š8ïÉf–GfŽÕy&sXû(øxZ*« A@|:/±uR—õÙX/læÒ!{Y?ÔxºÖ¶e&áÊšR°ßd£‰·›Á¸Ðƒ c¹…ìæ+¡ê :Þ­˜W£TШl*° ›í1’•œ/ ‰fLâÔ]©î‚Ô~ÁWÍ%r}7êÃ6¾V&û6-Ê\»ú„–+.ׇQîꪔoM<‰‡{QÒ:GéÌØ–‡Hmkøó²Ž‚Ì @Y6^qÂË…#e©mõûØ ¥¯I¿ïä+/8&27I£Í…àhé-C:àwŽƒŽåÉ1 å•(Žæ6±tÊ]‘‚õ,êЪ<þòzsétÇ¢ä2‘æÙ¨’†²Nsizîó ¾óài§ìx×ò»Ç—§¬¢´ç^¼œÔHF#åéÜÏÍÏV”tý!ö„¿9Ÿnâ¯%È#K8-‘1¬5ÕÏMø ¾¨É&ÈìˆXð¼M9‘ø‚Å#/: jÙÑi>dt:çÎzçKÇ’52Þxå;NìäHUÀ -ã•ŒD*{¡P{2f0ícWmàüOø­3ß³¢ÑžEÈÛæi£±«ä˜—co»¢E5ç¾þÝü0”ÝqWÉv‡B‚$t-ðßißÇ›sË(™ÖÞ-¸€$6œ5|Æ9GG¾‚öD2 fM¥¡Š‹5¯¨¢¯Þf¥7*’û÷Bâªs”}©¡ns Ç…W)ÚÓÑÎÐÝÁùs2ˆÕÁ‰AX‹==3®,ÂÇÊÐzVö¿’=%”W…;UÙ®µ›L†ýD6D‰@¾á0J¾=³âbñŒ’þ(“+±|éÚ7|ŽËVéþ‚/Ô±WÜUB¶Aòï0ÿN;rì¹FûL [ÔòAÂp*úÉûà©À[õEÎ^|y±¹tòƒ€7øuË =±ðH^Ï;Ëü´k£ƒ®}ÁQ g ‡-úN‡œ¬¯;WÔó)gìcÝ ™@}~Óg½Ô¦«ŽZÖ4êl: µ»GþGC@Ï,]ΗEúj¡5‰—&†§;sé'Ö»øÎ9Â<‚l¼‹í ‡4œ%Ç‘¶â^zK+d E‰ÕˆÊErÊ3uiKïÙèשÿcH L* [gGz“è¿Ácœ‡”1¦–cŸðúm  DÂGâÒ¸»±ÝV•T<ÿÂd\DƒB¾½«ŒgP>Ù©q®iáò5v2%l—>'»n›Ž Tô­tÁÒe}~ü Tà*ý¦±5Óľ<25oÃûà^ J1ÐY¨}·Ku6/õ`”£üœ–G÷EJV?¢·è¦…ˆ‹(øhVÈ3Z e)¢Î9Ú‡™-CÚ5&¾2’,ìžT•Š¸ØÀËè&oòz0Éäyß36÷1wùšÙådN½Þ§Ï‡âRV{pëçRÒë! ^» Ð×<pÉ4¢ÅzÝsŸ ‰‹õ¹ao’´ï¸’¯xfã ¥U9‘<া Á@¨EëNÔzÍ3d’°L°g!.FL`&mªTÌkˆLƒW›à-23—’Ö„#®SÍe%÷ s |Èm÷… ˆ†iîJ¾5YK+¶ Íô˜ÂÃèõ)iµ‡¨8MvâÏfaÐø*>³ˆ#÷¼ðì$Y8lÇ=s¤'!Cœar*zŽ¹( ¹bd¾ÃHÄÊ õ ŒÎd¤|à#VÙˆ¦`@|R>“-íI‚ÿ«àˆ<Ž¼Ý´y—¥œÀ‰­«7RÒ1ÙÆ{qÑ3ßeóéÌ ¤ºAF¡7q•ƒš:ðÝe ïBBCêªSòýæ‘6[& w¹Õ6@­9Ò ú:?4ˆk˜há½!]7]RµP誀 Är`ݸ¹&{· »>þ™¬µÔ¦B¦eÁÕ‹¼Ž– ؤ%\b ¨}a œfÆÙŠ&†ö€çå€æã ° Ë¢p‹ÈS}~WÚØxµ¾'e”lÙ&z¼sJóŸ4ã/ ™•~”ð­' ¹RþxÍ5õd4F‘C[ä~PÌO6Ta^¡Üß9wEƒžUÒ#SÐ܆}A `cŽt1£ˆ¶9xƒY€*Խಯ2›¯hÊé‘~7“Y­E*”a%#ÐP›iHŸÎ‡ÿ%zƒ¬ ñì Õݦúþ¦²v{ðûq¨‰¯¦.c=£kÈûŠÖË‹È„î;˜'v0¦ižËg^Ži .Mà š Ø3|ȼ’¾ÃâP󱆎cËd®8Gœ –KC›§‘BBƒQj$°#RÌÀ†(m¥o@e@Ðvµ¾1Õ`Ü)Ú†FóÜ÷4ɈrÌ°˜Ç$™\ñÌúð°ìØæ3wö2…U25 Sé!êÃú]ïŠãV8‹ ^˜W‡Ú¯¾ÏÁfLé{Îó VT¨‹SÛX¼ORùvb*ú0›à²>ß9_¤û,ÂèÝ*E i¯‡Ó”)'!³¥Ø=ÉÇÅ%‰œ¡CªÖHK%-:[DÙ $kšCd¤\ìæCwlZÖ+­RÀrÂ×ZþQ›€óN×%Ý ¾ì?N–Þ5U&_‰³˜XÄ wJ½ôúîû»ñyZç:­÷t”\º;y)By,&cW««&}‘ÂÜf¶®“ ©üÈ5^­2X͹\•(q×ÑÙí-G1MN_þ|Qìâê8LÿŽìF ôÚ‡º_áýØõÊàÖ|¼5$aÈÕßï/‡—­:k8ºþI5w’>ý¹#[Jå6™(@2¨yôE”zs¯hÌD~ÌÛå÷M[V£<™’3eÅÖ´ìšÐ¨³b5˵ ÉÑ6©çW—ç Ž'hWek.™+æÑM0'™„E¤VåcõWt6”Q±á`4ÊŽ†ZU8-¡á^\ÏG4;ÈŠ´®‰&´§6-ã·Àåx7Tx ’¨A¶Xó‰7‚ⵜv×E;“ôÔa:‹*°iúöP‡Øäy†òBoË/ù¶m€Åˆ¢r¦é¿üq>nþ ·r o'¼¾U¡‘;Ç¥ÏüÕf@ÿjímæ³n‘."zµdÍ]ÍxÉŠ] µ+½ V=à’i§ñ5)n4•KVtŽ„øPbLvóö˜£|ò乆•*;Ýýœ¸ÖPh'¤x–¼±• nÞ3-w>•²±bµ\IèþÛìªFö‘Þ›®ÖôUÃu9ƒÆÅqÒÕ©mÁ6ø<ÊFü6pŸg€ä­Ëqò²Îâä£ÛM«¾w+Sy€èÍd\][:&.sí££¶\.\Ó±[ÞKÒzç¨o>êžmdÀgYÕQ`Ú6›¦ëöø*0·çRM>òóíš”“è¿ Ì1"zib ®¬«\µœiœù­íÎ1¬6es¦$½Ï0‹uµëñoVm¡2T¢ïŒjÃvîPﶛw#[íè~oÃêí}’ŸÄü_áV¥…j1ôÓ´®#ãÒßÉ•]|–Ü_æúm#W†ýy:’›ýÂÜ¿çÏ•š;9Ü-– ó¦Fª}Õß´*’!Bþ¬û…Ë¿¾læ«FønN:MkY¸…Í›0»@¢y2×\\©‡C•YéµÂf‹l¾Æk¨dVJ¦ ÔºÈ'¤¿‹ƒá:/ëd‚°ëº¨½0"íàÑ…¼.Bí¿ïéš$‚wL•Mî™ýy<¢¤A|¨$¬®n‡WúÐ9~§~clžÎJ·ËÔÙì&=(;‹‘Ì_ú’«´T€ÊšA¿òyn_p‹ö ®¸+¤O RZm‘ çÐœ6 þ$ú:Ž¥u;7\XÆvŸF’ÌUvâ•ð°‰i saXÎ=À -¥Cà1§´;ÖS²Aæ^Â~±ÇäÈwœf.ßÿ:y™5‰M¼’óŠŒù·º’´ *ܬFf9êdgÊI#pµûÔò ö¨‚!¹Ë75f;öˤDžví 3ÐØ“ßi<‚Û ØûA_¼²ÓߥK#L>á:ïm‰Ãæâ„ÍIàtËÎBh‹§„€0GÊøTŸã/ìGX&°n7,;/ùÀ©9#È9)%v²»†5ÀK;‘ Ìy!´o·W7Y¦­昊à ¢Ý1·”¡æ'Ih“A:æ†[B…8ÛÌ ÷¾•SŽ¶­ãž“º÷L¤twEI ÿh"e —c‰ok㥚FÉgDÍÅOòd5Ô•ü u4šÏH›ÝTⒸɢId’àýŠNžÝy¦­iLýüvš©/Ô ’/N”€‡p’ ¯êvÝŸáëõ2« á(àÎ%Î1}gl­À¹ú†‰»cäa“eæ‹dmfZÏbýÆ7z¯Jj"™c&—Éô žÄ3I^’h%®£m¢±HÍc]®ÃÝï80⟿bÜù.¢r«FïV7ÞZ7åtÅ9Î#ÎŒ©Á-ìÉNEZ¤ê:_´*>IànÏh-³E}Ù¥÷ºÐÒx™/Öz¼;‚>1Íuч-®L1¯¢Ô·.~€oîßC"ÙiGÙäVŒ¶g[|íX<Ô\j;æ4vé^tmÞ8b­“,W›¸0Z@>Ñû†c·l#Ægÿ>øA„y_ Ô:U³N0ä7žûÊf8›ÜÄ2ë˜}£÷ªèÎ7Çø­ =™o¥7dº…joFÜß4¿À[Q ¼éMžs/HɆ«¿[Dà[ц33@¡?ŸëN˜žV¥Ô¯4;ÅÔÆ¥Ä:8ÙÐÚyý_»8È„‘ÃÜ2e{ §cœK$+ýˆt…dõßü}ã¥)%¿ØáÅÛ!?t×S%?ì "œ¤sLb™ÄàyOÄYTv¤)"-_…oXðDåÊ¢½¤:ò†Ý}ÖÍ‹£ÒÍ‚UëpŸ¡^ÅVSÓ`“ô¸wé¼,õ¼»¾˜J3u×®c#-F£(˜JM=í £*7“²»ðP ‹2÷8^èçºÁ%>ö§š¡Ûôÿ˜òªÎ'eDYOµžs”×Jžz‚²ƒº‹QÖ¨CóAÎÒš‹x¨Q|âz\Ú•<ŒÜPD@êçX¡Ò6°ïK›É )â—$épæ° ä¾YWf ƒÃxÁtg†KøaÑš¼F+mÏÁt<ÄDs Á:cKn„¤` §Q@ºAËE‚ä·ä%)O!êº)g'Ĭ]mHþS,­+]¦Q|ÿ»¼Ë]ž-ËÎ÷@YÚ úÃUAf×ôQç7Ày+-ÔjÎ5ƒ+•ûs_œxñ‹~HR3åJIÑ¡sÃ+‘½›=à²S“ÝÂdv4ïnŠûab~‡KÓHǺª–p™¬ÙN<ýj ‚qsµ¹Ä}爛'+2Úµc¾ÏÃû8Rf¿iÒ[ÃâÇQ_™€Y¨›!èéª ¿7y¾´f>˜ãîô›ð-*k)¡ÀéƒN‚¼#›U’‘.3‹D‘ ÖvæïpYÌ}SU¹ßc¿O€Òf·*ÚéM Žl0WàˆãÂ'¥x]gV$ë]ÕÌaÅ0ÊÍ0Ìݳ`°Ç5`G£Oì„ è”Qk¹<’µ]]"U‡"§í&GªCAD¾ ÊÃéæ2´¿(®èN%ÞcˆH’uÚQS‡+à¶Â¥aI'¹Ç4/è­Öî·Ë/"tíKîêÌO¾4ŸÓéó¿ÄÞ:Eí¢E\ˆˆ‘•v,ýbK‡`[±ù¡Ýâ;¹3 £D@Ÿp¾ðÝfù¯Ä^ óË:„ÙÒæ«—XùÔÖÚt2ÿ4MU€Bø‰@­‡>ˆã$®a1i± êÊÙÔdDçpîî8;€&;Pâà ¡×yaD觖Z( L¤^q%ï©\Ì‚0i;ÄHõ†•œ*¾J4êcqdÃ{$xoIÐé̦–à.[Ùœ®Š=”—ßÎ]¶OþQøñv8AD§ œm }–Çþ^Ñ!ƒJ#eŽ¬ø*˜ $…Gz”׌1ð¡îd#¼4uÌhÄ> ®ÜÙÅÀâ õ¼˜àBˈkl øèf€Ãogò¶<Ÿ]ùtSðŠ–×qhГµšúzU T¢‹ä3ܨ¬ö- Œ*dßnªÉÒ“û˜påQ ‘Õ“¡4WÉÌ&û6ËCí_†Õ<ê§;a—#á·Ìn‚Xö;ÍÑ jÖa8±-ÙSKsäUŒì.sZô‡ ÏišÌQÆFÚ,ÿcÎå†ó²€(ÝàƒÙkÃؘéÿ€u­am¢\ ýÈÂùaç‡ï†HÔ8öžÎ[âtüjÃâaçE/Ž($Ó}îÚ0oËl»þZê¾aÂWþ¼K‚‡z KþDæbÄ)þ”ìB̘|š,GÌ’øôË‚·ÝŒÃ1½² TâÄÜ1¯¶3йÜtþFòÊ$C`–’ÄÛ,íe]n¨€«cL cšö†³¶ûìÈ“7ªÚϯÀŸ ”“6wšôÉÚð¡§Lò‡!…¢ÏUŸòÑ8úñhOÔ/·.sú¿j[»¢òF÷Q*]€£Ðg¾k”ªäplEn'ÑmrÿÁßÿùä~øjß’%Väó›ö9Êg B€”6g\½za)p’Ì<ƒhÒÓód¤gE2B“ÅHŸ6Õ•¹Ù[]ì£"Ú¡pˆàËqó5›YÆ¢[3òG(Ž@z .‚èŒ#w΂À*’Œö¼Õ /p+ÅmÑË€íKKR‰Š?Ž*Gøsд| -aÓÏ;Ê”%£M2OY²ûÒѺg—LǾ7Ò.:Úpû:ÊKÐMˆú*Y”çœçìÙºso=³Ô:¾W¦7VÎÇ™BùÞ×"³º!Ë 8LbôªºÔQàpĹKk‹nïG7}B&È[}@J}19²¶˜ûêþ`Dþ_Ër†]®Åù㥈ù[=9KÌÁ»È×urs¤6QÉè¯B*«»p ç ÅqÌhÓ&Ñ ÐŽt$f™Òæ?¸¤ å\Ð&y^qR+_X˜ …Ù¦íNÆ{o¯{ ©44N´%°¯¢6,~7 çG[Rçh3¡±P½è\8‘r=4þFk¶î‹Õš¸Z‚X _2Õ×r>…Ë~ùqøÁ¤MÈ4éW [Ÿ 7!«_ô‚AÚÅK›È$ó=5õG²íµPËÝu²3µ±?ä¾ö_8ǘÄA»Êôgpó¹Ê˜4ýÇ­ò‹Õ’3VrÀx½áhˆÕ†‚p¤hò9æ3âDª…˜$bIÊiª'JøÇóRËÉÂvº –USõŽ3ƒ;Q]Þݬ’!ª±aìædž×~?Æè†lYR-}òž&ÕBÓJ¯¹d¶hlêl¾ö„|·UÁÞ6Ab­ÝE‚¦›ÏBðÓr¢f¤ÂìMD¥c¢ÅæZh᫧ Äì“ fû&󈤫¤O8]sÍh2MªC…ï¢lˆŒ`båó«JQïGq¶ÔÑÅ()êau[æ œYn°ô|o~B¬Ä1âˆÇPÌjñˆá/2P’0ÂÅh¢ªC-}*g™ŠèÚà ÅËL4–àÎuðþ_ñä&ìrññ=q¬\d~¶_wW$þ{™þÀ(œ³Œž|ÂkÌ>Šýr¾áÄ¥[ϵTùŒ+ q• jëÈxž-h|fì­:xþ±º:¿X§q\Ð¥çÇok÷±Ð»¯Õ~[=eOâóÁDÇ·YrgRqó¥ß4é_c øOãð)jÇ¿&ÒA]x%ñ/ŽŒ#™:?ðëPO@9v³iJ”¤2¤ó2o° ?)¦5i nŒD/1usŽC–yçTÇñvIÖ‰`ú$ó–cêg@O’* 8t«*±ÉÒ¶•ŠHG)Òà[%5\”›ÃS^otš7V Å6fcð‚"–âÜ«(÷/tá3méee‹ˆî‚ °ó¨ðG$ýLÁ+øáKœ“%¶œÔY*OѨi#(šÜD)R­ˆR-i® Ʊ®l–Z¶ó_ úŒ\¾U5 yœ{Ãék×  WTÉI/ƒÝ'§!æf  +¿I’h(<¸õ`lÿÚTÐÈØ)ñkúpèÂM^&;€HòGT4€åx¢‘P:±4z$7¾’ñ–iZñωÏÏ…‡¶„a<@ú¥•D¶òGªö!ˆØØQžDç2š(pl9¨ “ÊS}0g ¬¬„û%zmÏ$aH{G ×À çE)ˆ°ÿœg=&ÏMU ó ,¡12r‰Ô/o<¸ŠJÐãzMi//Bö,öÂ!|Ä5~QŠ=G»Æ´W´‚2¨É;;­µ¸n6\DˆèË@ÐéÄ”¢l7ÒE êµwýÞ‘]I…÷´£Œý-îöîÊü5j9¶¢)'wÌedŠóÞä”Õ–c¸ø#™JŒ~(¦IÕ­éö¨%>KÛž^t‘®4Æ/doh ›þÆI*8÷ÜØlJ#¦d´â±ih° 0É$æÌ ä{6›-'ƉÒM›|ÄÁˆ `gË úÔŽS ¬{ñN˜7±Ü÷À Wã€n?ŽZqßÍuì'ÂÓà‹ÁNB¯´tøL7¸åÑB™3pDDzqìfBv23oGà!ùÕ ´:†€»Ô6‚UýüŸ-ç½Ê¥R: 4xÍ–\¯ùœÔcoèlÓ©<±-à bº¿úË΃g8ÄÜ%éÅÉ»)ôv·é3NA%- Ý®}CfÙÍ%GFýy(ó:‚?¿Òph|*‹AÕ¯7¼œ]ŠŒÇ }»·6v–[V© Q@Ʀ©lxÊ5 (]_2a/ša†+5®‹”“ªcSäAúÛÉ ¿‰WÊ×Ì>…+-ŒŸ¶„ßàï:×ÝÒA Ù«VÜ¿Ps•}äúZ{Ê]?¢¨®·N½›÷d'æ»{}¾½v™RajŽ7¥@{H.|UÉ1ÓZV<ÍäÎ,RFYÕ.ˆtMF"à"Y|—u³à˜Y‡`’œT„}éêr\³û]D |À¹0!iñJÛ ™·»dW!Œ*zÏ‚-^ ¹V#>µrøXü­wµ!ó®Ž- ï*Ýù6f>ß—±_N‚åÓäö}ß«9Wr6::Úcž- ¥KÝ¢]wGsÉÙ‚Ïú¼,zÊ?3 ;ÒGÅ$pŠ½4Ô>_éÖÑÅc¾@ÎÇ™údþØCÐ,@û§´d¹Ú'-ËŽ¤ûI¾$Òç팚LMu$X˳Ç6©©?0½Õa¶E•ÌÔ;¿í4a†köÆÄîЊs.aV £M¾G,¼Ò¹ŸJâÇ‹À\æ*$d]ó à›‘L^¸Õa’¢ Ä\™Ÿ|­Óä#-ÅÞ$¸«…"î:Ügåë¨â™í¨äcâ×|£‹%šÉöè(!ÎC)£ƒ»lîß­H`öfçû.Ç\R·|2[üÃ-ú¨±Èå¾q·MéBtÃL¾5Øç_Eœ_f.¢ÇAâصmq'Ù\k¨‰£ñæ7Òø¹¤?æö|åÒKV²þák¡Ý§:ÐéÔ]ÒMGc^›2·áEZò¹–,“–®·ÄWÈ$q>aQñù|ËýëÊFH«¸zoýcwüpü¯«Û«%W|+JB\ŠY¿†F¤•çáyw•ìÌQÐúI®7Tddƒ¬|Q°É(5-cC¥F&z¶ô-#&@½Í:ݨßþ+±*ýQí ÇxÆ€|iÅ\qÅ%ñC=ª\ÊIÇ_{À¸¥Â¯Û"‡T°Å×/Þ,:]ô_µS‚Ý w^ÎL¡ópnß«PšÓˆÌ䣘øçZŽÌö9ßù¼2ÀÆGÔg.qGÍ3—Õ…e´÷]£ýùÈÃ"♆ø<¤<]nIfzÐ"s¬!ƒálCz™Y uáhˆÄ™©£Ôý0ê-5®ëÑR7í´jš¶ýÛÉàh#Ý œ¯´½¾­—z¹™ °ÓÛZ•Vhï‚Èõ/åyÕBÃÞ©iÈ¡PnûlÄnª™˜y Õ”N î|AG•nïò«ÊE´¡§:Èñ~ãaªúØ«¶Ïà0µ`°^wO"§¯ ‹ëW–Ѽa¯6H×j©x6 ¬ÓOËc‹GÆRγ\Ñ«^óŒ—d"¸hŽYF{»çó¢Í†êvdL•Š^îzÄÈuçËäÝ6rt ¾Õ*@Ñ™*¼…´ÀC ô­€û$“47)I—..¼|Ñ­º˜!’Ü„$ 9MèûæÑ•À\;˜A¼Ðá´ô«Q Șèå²W¾.ß®¤?á ÏŽŽ×løٵ¶#0THp&›û¸ñ3 LMfK bp˜Àí?‹…D¤}2U*Œ…?Ls£‡5M-îI³ïPã0b )`ðQ'{xZË€CQáÜÊXã"ø?.qÏ´a 2sðqH1øý~nü#zéÊëøŸ¯ÅÇÐØÎTÖ9[ êI䦪 £.®Œë©™(·ƒmÛ,xtÆ5 HC†]° ÿ<ãJU®(áü¹°‚JOpüç\²!Ÿ^!bž”S_3ûÔ r6B“ËL8´uÒǃqȹú¬A8ñ0\·ñÿÃÚŸvÇ‘iÃpŸgìn-$Ej—zKµ=¦=·¨énÛã±>¼ópÑÖ% Én}ž/¨*° ª¬D9—¢Š¿þ+€(ªí™¹Ï±ÕÌ+P¹ ‘@ –+“eK r\Üب>Z®b¶üpwwúVˆÁA¥ÍŸtMŸVÜô¤âh½Ø„d³ó¸«DÕKzÜbBßÉ@×=ü};—–jh, ;±2ÏñP©'])Ø™ðKÚ³ m+œ²:o⻪Ø/»Ahq¤;ÃQšFÇuZÅÉ ,—šj4ÊÅ A°\+ß]Fš©­- ˜Ï‘!Ð,â¨ÞÜãr3(&Lð0¼Ò«{¨ºc«ñ™M¡$µÿ3@q¿ü Ò&[ꮆ‹Ø× :IWå¨lYDÁ —Ô2ÖœúÜ#më"F»eXë×Ñj`Fà§MGÏ^5aËI\é¯E“Å ý=£«ënQ§7;´E- [šäb‚´Ù&ùÂV-Ú™íK6ÜDÃ¥*Îè-d×Åîþ°Pe¬ŠÕ@\?eÄÄS¡¢)ÈÖ²RÄ5à§Ê´i‰öû€Á·0²L¶ \ÚNbLÁõØbç.‡q^¸ë%*åÒÄ µóÈž‹¬º Çæ¶CGüüu=¥-Çi¼Êé)JO3Ï^¥b=“Š¼ˆë0í°“í©è ƒ]HXûͱWÑ‚0A´pMbq#àcSáJ[=üΖ§i\Žd`ê+q Î™Ô¬ãŸâðk@¤CG_›˜Æ\Üž®Ô åî ³JKþn8AwzšÍ0¤U(ç—º·£túðp—9m>æà~A½Á‡ìÇ;ÊÜF?#Ú𢳤Lß}‡úº5оûóïÿíï¶øÓßmñï©©]¶¸à®g/(.3ÚÅha7κÌç0Y–ì"lKb’îŠÇMþÞ¯:°49yÓB©™çl‰Œ¶+o凫ƒˆà4RìŽCáæüq<ÙÙuô/ý•þÈ”åê˜7; Ác8èØùñFÌ;‘¾¯vŠJ i‘Î@_Ç[ n‹Ôû§¦†sWä±m†=eùôø„Vö›våû¹€Gɽ£.­ÅËÃã@FÉð80Íʘ;°cç _ùH ¯Š¸3º¼æ ßÅ•ú¸GŸŒt2(žÌæ)“ÝÅ(Ÿô+ãç©‚Ã_ÕòQŸ&E0®Ü ìÀòé]8« à®’Vá›|ZªôœîRµÖç«}ôLÍ2hÃÃÚå…ÉÍÉ@Í 3«X,<ûõÒón/A5¿TÒ«œ_½òϺ¤O¿o`àXò–ÿWj”–¸fc›¥á9V#ÅLÄÙËzž­/ÔåÎ;ÕŠ£¥éô=–wûܬN .vDšÂ6¼z±ÝèŽí>Jn¸«Û•§1ÜÊ°ù!/üñ4¹ðfV_Å7?Ïv°ò˜7)©î=`lãsüÿ¤„¦÷u-6X… O®LáÃœ²ò®Þš´˜³3šEîé·5beêÕ‘Þ›„Ó$#©f(rt€è‘¼)dϾáðE·ŠmzužK¹ÀÀ(KÐÚð’Åꣴõÿ ¼ÜƒMÖê좟ž­¼WŠ|ååOW×¥:â‹QwZvÔ¬ÞBuÁ¼v\Y{¾ú-Òöj»zÅy™ž…_Ûñߺ|íá÷} öÂD»#d6×èéÌBó£Ù{èêG±ZæÏõqW¯vЙº 3Ù òÀ7Ÿ8ç×A ÛåÕ)2ëÛ–Oª!seÆ«§¯–ûk7Ã9VHp2%øIìòg+÷t)ún¬]õì‘Ëm¦ûš!ø4Ÿ&ÆÆYñNºy(‚GKÂ3óž œp îËÓø{P¤Øvâ3YÖxk‹'S®˜ƒ4‚^ùù%d?(øáØ\FiX*SsŒvW%¶(úܦZlá/óñQ¤í»ÆLFÙKF~ý°OæXs3Ç ýfŠüjiû^ï1ä ÷vÀ¯<¸¯ê3zuXòç´¯Í  ~q«l¶â&œ´½ó¢Ên„#¦³I|ú†üÀYÃãn6“cM€Ñšô«ñ˜–—Å]\‘…È6½á›¾sdy)ÚhÚÕŽE(«A v1=Sàí3Þ§„3Äïè¶füÿ.[6E¿¨âO*)3ª¼DQ—›~ µcý9qL~&Ƹ$â«žªªŠÌb¤i:ãí‹©)NÔ{ú„'Rã¡Õ3xÁï#b ø - (¼gÇ]Ã¥d«à)’O> k]­I¾Áíöm3X>¿*ȼèÿ°È3ˆ; ¥N"±QSìvÔ©ƒRPm®ñO˜ ÄƬY`¦,Z542uá6 à%4 [uZoàç¥k½ôyŒ·¸ L búéVz:ð8 A‰£Ç4RöàST²ŠQÔ uÄ۶Ŭžö[2  ÒˆUÝ‘Ñà ¡j˜åU&ëÙNûnÖâ¹Mm)·3¹c”77· »üÒ&÷ìïKHÿ—g({ÃñðòyQ&©ŒcLéu–ê«ó“æod¿/ÅÄwÅ´’¯kY<Á-·é ŸÖ\~šnUn=!y¦Ê…(×͘ØÆ~‘♥áHS9ÖvšÇcA_ÿ3alYwÈ!‚¤wàk4Jod¹ôýÐÍɸ]"Žý´Úª­Uñò,L…_ éD© T›ÈDU]èÌ‘4¸¦È’òaÊô ¨Vg´A ,.·Â/ï᱋Ezû'gF0'yÈÒ'v׊ô¯¶¨ôä>íâ•=Ã,Þ¤ÉK3ú9ðVf5-3!©~¤Fõ¿ü]*ìcÞåÞž2çšÃ¬Œ ôJ~€T ˜%‹§}ƒ/Ò WcúeÆ¥™ÚpmYZA¨âaúcuÊÒzI ´)¬°ZÌ0ëh?Ìœe|ç`U ï–CEëݹì&Ò+[-g6˜E¯:øÀ/ú×|G@L–}¡8VaÈk§³Ø÷Þ12Æò–›¬7¶¨¸€“°Q ¥ä KäE d)ïàâ2[NÔ×eR!û‘&¹šöqbOë;¬ó¢^Û8×Ýv ßÝë•Â?[RjÅd}S\Æ(Û”2R!…òåñÖÇ)ŠyÇ'„Ht= b‚¸‘æŽäoì#¢[QDkQFí¯#ìVÌLEÎTJ¯†çêf Ûý–t×±9щd%tCz (¡uØïÅ‘Ù0_Wá¿`ImtL¦ÿâónÖGyºmâ™6’ÉÛ4Ýš¡-F¡³ÂšC7Õ GÌù'²ùˆ„FI3±s ˜8:K9õÒ‹yJ®;12ç2w MîÍÔ’NÖ?-% Šûôú6¬ 4ÁüVsÑÐ…Eh$–3úõï„]‹ÞVËo=3á¹pr™£áØlŽ‡ª.åTJ³t0ÒÐGÓ…¿””/ÅÍL(™Mu‘´opb1÷ž]½Ã>.Ž*¨Þ{+–êvª@³û\& #Nâf­·FEñÃÉq»ÍÊ-1'¼ÈËÞð-ò -•÷ ЫѨ}CæT9ê&Ê&»üñY4›Lÿö•ÇN´r•¢‘]Ò®±Ê_2µ’?\w.žÔ•ÜJ:pZwf$‹l:Iƒ3Ȥ-‰ úz¡@£|h›é¢WŒþiÏ|Xý“ξDHÜÎË && NRóÊ.„ØÓô}Nªu¤šBupºé7YéÞ^pÜ.Ki <§a\ügè›÷`éDÆû§{ï»X\æ—{eÜÛ&ë{ž‹ëÝ$Žß/þ ÿÒöß,„]Ûì6ÎçÈaQïæªÇ“„M!¾>ýàdâ©ã@rˆ,õb›=V¶®Xrxߧ%7]6l?{G}â܆A' 6³ôjû pÌ: Ê`¬áq´ÕcM›ÇFxAû½Ð¸¹Ñ·èÊQm³ÒïN4AsTßL Ry™/4š= )Ð)+ìu'8 Mk«š FƒHØ»Ù#NHÝ¡õ2ÚâMù.5uM ýv’°…î›="ld©zïa[_0Šj5–i: >QãR§—!­:}¢§Ñüò;” @Û†«BiæYCiGËØyWœØ‘N/ó¦Îìöƒ³ÖqJ3»*YÙ±Dt?\ŸÖÂjñbý#ta[êû¥ÕÜ^ðº…&è_÷3;:e¥ú¢Ö6زVÿôϺ2,ö}£®ªR乤 Èï1]=CÛ³)'Ýf'k¢¿™ÒÿÖ–™2åaR ÓIÂCý1 ð@52¤z¦E¤›= ‹˜P¡ ®"[ñyLé…^“noš¦ËæÙ׺=Ë8«ý×ýFMWÓ4ýkEh°oI,Ýc8Aצ×|«ª|Ö¸ÚK¢úïßÏ[Ôƒ–MwzÜr*x;½»±† kÉÙ•Q>©-ž&Ê^R«ö¢ÏÝ š‹nÖF†?yc‹ÛÀkYŽØÜÓÚS.ZCEI¦õˆ  ‘©îÝãftáìK{ÿlñË‹û}¾Ùþ#öj³ü'éój„#CÇj0 õá±£TAÂmBËèÛÌ›ua]l‹_zphë9<`p s0 ílE†fÒè5 ¥“På=»ÔDÍæÖ¦‚Lùù º& áûRÂ`gÂl2ÉB„ï†F5⪱ì0»Ón~£K¶>Uåj‡^0¨Ñ¼¹èáÓØà¾uÖ?Y%Ëèy( ɾѼ sÙçÃ&^‘w¥¢¤ÉSÌí¥ÎvI1Úþ^ÎD^h@ä:øŽT][ãk¥1?Í“È œTÅö§:Y±P9xÂéÔpbëYÖ|³—œé‹tÍ“NFùžüIWaVö¿—Çå]îñéíÒˆºè ¾3£ü}Iè–€èœïÕ¤Ø]vÙ-˜¬bå¯F³,_Á?Ýý×íªhYd÷0e—5åé:å¦÷#°_TÃä#ñἡãØx:SŽ…fpÇýÈ4Jws‚”û]—gØ}[Û™ih‡ý**Ÿ®[`[çLv•ê~‡1)Ù]IFLl:ĦýiRêâÌc€–9„n<›XQŽ:H\ 2·%_È[fÁŒá°š6 ÇÝàLÁa>K^È ÛK»õÏÅ;Àí]^,¨ÆezáÔ‡‰±ÓܳÍÇÒ¾3ãA‰<ÙÎ=rFÁÚâ¾ì‰ŽÖ×M“˜pëÖ”÷¬kjú:P©ý@7àY …Üf²†ùßÜÛ ¢ü½ãÍþ8 ÀYïñÕ¯¶ŽË”ûu3ÁWLKF:ãi„'à6¢ü[L+`ܶœñÍ‘Îò<œX[²ýµøKô繋ŸÁÀ\<)õxyÎ!šÉÀú”Q¹ÕûŠ6W©º0CcîÌOÔµ±­-þ­ÕùÀ.á‹þ‰Ncf¦.ºAm¨!®;)Â?ŸÄ¥›Zï—ˆ‚¥Iã}Vî⎓#gç"ñ'v•—z&„‹Þ• ÿžüHCÜäªìÔŵ¸ìöâObàÍ\­+l¬¸ñ·¾&é è5·r±´÷¬Å^ úe5­•«­#Sl·XÆÅþÒòKßxÁÜÖÅi‡*œ¨ãDÐÔ‘v±äzé®ùCiöØì1XšUmÒŸ:ÆpÕÅWùTNáþå g)Ï]y—Xwž8Y˜ä“ƒË|Pl?é'Æ,ŒocÛM'‚KÅ”bCsñP Jò®5†O¬Ø„StÃz@e†–‘Èð+ʃ÷~ÜBw’'Â×ÔvÃI“R º°Ñ®9—šÍ¹N¸rÖô†ÉÀÄ‹8÷%ª\œØ;SJ¥ÿÜÕj’i¨Ú–¦ hy}s|Vç¢ ¿=´r îjJžë=Ì,Rù¦‹%ǤÈÒÙ=l>~·lAÕ4Òb7»d]•çž1‹´¿×Kx±@Èt]%“=M¡"Ò8=ZÃŒ…"tÝa‡ Nl^¥¦1Pƒ»”/œ¾­G‰ñƒŽ¹J$ÖüÈT@0Wý‚ºø«6 [$ £¤ð­`ÚjYLëó[MÕã„‹Zùäš›}“f‚}îðàþG$PO–%žÂ7aIœ:ð²FÉனAf¢yÖ{™‘BÝ 0oòãÏûcA½OWÏs¨Ñ¤KxnïõXCjq£Nœ–Áìèç•®hæ.·uu*ˆô£¤«ènŽÇSÝ?Ç n€i¦¤mÄŒNÃH, ô9iËE‡<>ùª‡K309ég®8è@ ²üÿ r-"Ù& ðSeÚIúÛ„¼Ë!eêê`,±ªs½d;ÂœYj ó'*a÷d$!Úð`× ’ MFÓyÇßö«ÔËõ“ F´&ýgws<!#ŸGäq^0X&\‰¾ h›=–ûvÆh bëô.~-¸Š •oú“idp 0pZµXS§I–Åð4žF¯Â%frgFÇ"?À‘š©©¦ð-O})³èùÙd˜k •Ëq\H?sx ·s‡ ó@¼ïžÔxç}GÓ~Âý-·aº)W’÷¹o`-ar-s¿3·çäþD!t))ñá‘?~pŸð„‡uƒ-1¸|fÙ®Þ¸,Sù‡*$Wø€Ù<<ò+B> ¾†DÉ!u%[c}]ª=S 19œ‡0Ì»8Bð!;»vŸ?ž–ž» Vß®Ðõ #ñ `QÛëddüUw”½÷ž$~µ®TùÊ:z%“E#¿ûsÕ´ Mo• ê<{/ «iÒ»ní4môCUéõ’úµÿå«èó—|¥ÇÑCÞ·2UvþCy2{ÈVùúÇ ×Ô_Ëô&+Èu‰eõp¼dlÇÇ=ùxÖEb{pÙ#‚õÙeBrìûíX•bíëÁ¡ÌoörUÃl¬›UK´jdÁ$W»—ã(kÁžé$ 7U‡ïv8é2³¾?›àgKìÙãv÷fc¡L?¿[QÖ52Ymð^øƒnºÜ‚ïEm–r/‘¸`Æâ­®'¹lð\&tÝJD¾¸x»òÞˆ/b2RYš«Ùߪ/Š –Ä­D"b—6ÁqÐkï2þÐÇì79ÿÑÆéæk/ÇâZ¹}ô°UUú¾Ürù +MzÃnrÄeùëôå©—=uæäî¸Ü6Ír8±L|’LTƒtAuS…V+sש¸—=Ò«Š¢çì+‰½xìbIG\ŸDœê®hõÓc.àzR/£Añ^”ÿD'yFš9²…£†w[6xÁL#“È÷u"}ñ˜wÌ•»—Ñ&áÞÀçf]…y#Ï‚FøwÄîéKWK(KËí$ˆ“Ž¬ŒЉÚó=ð é áGoæš4úF𯻟ÌD¸š;ëÌʠЋ€:1ºÁ…*¾9פ‰Õ|Q–u-"¡öšÄ~ŸL©Œ‰è——Øuû“·‘Ùù^D²O¯ä–Oý*`X,ßbûm'œ¾÷Ö´m3èêñ$ùy;ßdÿvoIŒ>â¤tˆ[^–¡lQòö—ŸG3°€íñY`Ž¤áïïz\Ô·é¡—f”®Ÿ (…_êj@gj ­úG{­Ï˜!{‚7¥É)Èœ ‰ú܃s7ûì¯PÆN‡s¥©Éì¢~ÿ³Siøž¸‚ûšÄrÖ½uö^\Ù‘œÓ¾Û-Käøv"›ï"ì¦Ç¸1/[t¦é+°S´­H£Áaÿp¿ £³ þ†IíŒVÃerüC(Œ’¯óñ¡æXñI£¾ºÞgÎ]{6P2}Çž±oN”A_ëAáŒDïƒWëLÆ·eÈšC٬耳 g>Ú+»bLj~±mt-‰Ê‹S]"öAj6Sç礪Ǯ YûûgrpviG§ÀÙ³ƒ±pü[ÉÂþ;èU‡2Iz ú"ë±Y†*ƒFÒi™e¨BD›N…àü¬ÌÃ%/¬“;Ý'½@æË^õè"¸ûÚG@æ'A1ê¸ÌGÝ5©òr/Y~ ð`ò}# OôHÚGWû‚Ì×ßJSi6qßx6K2^eì¼î º ItW=ÒÄ2Ðnd° 3™#Æ@e5±Ý#>‘•"<5ÂóÕ9ë/³½&?¬¸îÖy#ÐÅOê*Sd¡ý0—6©/áz‚2w¦çÂì{Õ#gʘ’Æa×iH )v™Å=y h2ví^Œ;•ó©ÿAÓØCi¬än€¦c_š)Ü_)”îY}«ø†ÇgólaéãðaõÛ;´Õ4Ø®÷©Ö …“u:~UçïW<ÐÈ(F’‚0}³|0ÿrAdªÚN¿b”uT;€Ž&Ëv"Âà;æyk¦{NžÙÍÉm'%cR쎕 žì$Sžÿ¥ØN¯"W=" `®I=@( Xy:…/»³˜±NgµŸtêìºêÑr!í­ ¥ž\wŸLµ ‡¨DNfwI4rëä>ÄÈû£–«’ [ëì+[Ýþo1îw¢r÷Ï·Ð_œ“¶iæ×C¡gtšck?Ü ¨tpæ §Ñ§íë c¬àÙágQ§qZã‹s \6—¸“~Ë«O±;Úzdªmì·^¹êŽÛ´[OÍJø=Ú÷ÖÝâûo¿ýöbÑÊ‹h2ÿém¾R{ª› Mc5 ¦°}'u5퇨VT¼µóâ·».ÎC±è)é%sL9åÀ‚:vaKäÿþ;I‰sÝêÃŽ¿¯sš…Tبns‡‚6/5ê@›‚ÖÙÓSMÚýmf´#óÀˆž9þ‡çªkNkÕIẛ*-áJmÊ4YRO»º«)Øq™ÅØl'v89Ï‚—0˜[|°-šVõ»ÚûÀßw•«„Ãé£ }ºã:”öÀ§ÖÒ½6aãyiÏ’ÞE/é“^?÷eß+t«+ô(TŒ”-F]@ºX¡çæ½9"˘'l ^&K£^fðL•SÑ äžÌ£ØˆVð÷î'Ò1F@e¦ÉÀ»·gˆ·¢·ëY éßÝÒˆ|Jnp„‰ãÅÄœŠ-pÕÐÄBÚÔî÷¿û}è>:>DSìÎl ®µÃ¡M¬sÙÅöŸúµ€ÞçPÇ(ÁÔ4I}/ÃtéÛ¹›PX|4M©M+õ׸AÃnÚ˜#K]«+ý/è\,àEá€ãwÅ ÷‚†^«¨²jQ _©ÚØLÑ`»åð‡Åˆ‡™ÊMÖŸä˜Z¼Š—f ^ÏÈÀ¤¯ê~$¢¨-l+O0¿Ð^û¼¨l=ûóS53‘ôÆÛ¤@laN»2µK9Qå2”ä–„­O(éêŠ;û‹¸Eئ4˜¢ÃÄò/)Ê‘˜‡~²¨?æR@|…ä8íá¶Ö} ¦/£ª³üV–É wÿ5-å»Í|¢Ê69³ŒÛ¹¼çìf àÝO'=ŠlÓÙ‰ÞŠ]±»·Ýùy™þê(Úr]Oì<Ý[z4=¹$à÷MbéØëð¥‹Ó]“”¤'8‰ëßš’Ð×HŒ¾â…–À2& Û®Lºkÿ×@÷(˜pAa#¿ö?AǨÖßèñÕ)© ôû^>ØJ—¯cQÁ}#+û¢—¸¸´ÁÑt|ýŸ¤ùèÓP^¨ž.°•3öˆñMÓZ5oT9‹] Álà\¡:„%?׳G§øbÏž"“p—F}°¤Gnwà¾\Ôqá¥Û;¥0è"4£‘*ß 4K>Õ?Åì&ºåqñ^ݬ¦é\•]´rYÎW2Øbèx©IA‹N;á|.Z4»x š1dTø÷Œ@Y¶Ãñ§šô5Xò®ƒ ÒL'ÈDuçES„ÏÕýÒÕ‡ÏÞÜ„&ùjUù^NY§“ÓÎQŸ•p¢AÔ€Lµ [½&(Yœ£.3?'çÞgcÃT;ÕNd=°¤>!Ã(‰s§¯â=rÁ^ÚÆú(Ò4¦¤J…BØ°U7¤d#mß ®i£Å»Å‘ÎäcÚhŒº¢+jõ>>ù´é*M££R)Æ:LJ8GW 'æ“ }Mi‡„â†4`é&IÓjµ©ûÛ\ƒœöyS3RÑt`K%ªR÷—£b÷ôT™Z’kÝC†’£+ÍL£î+ä¤f•<î°(Ð ÖYU”5ˆiÈ–v¬¿&Œnš9pžÐÓü8SôÖÏ ‹üMšRË…~Š¶A»ù¹£›îêÀ”ÞR<óU'ËV°Ò mƒª¾÷>´0âÃ.éK³£b §M»ËùÞçfa£¥ gŽc«§Fa¿ àÿì¢áâF€ÿõyv"ZÈKÛV #£…[DƒÛ¦Ý$Ý×mÍ‚4©i(ãMqI»³E$AÁo&| = 10ju1µÍŒK‰Né`No ¡¿Û…‘¯°ß) ¥W8+–ÚÒ\6#}Gwe1¦Cü‡f73¶¤»ö_$i¶³è5EÉñ0\ž›­&ÒŠ5pYÅ’XèŽk€Ç’æ^sâ®øîÛÂÐ?ñ# 8÷Ëþ8Lt·< .*éË!¬GF¸˜€ôòMwTüáÛ?‡¦6‡ [Àº‡žtU7œdíc²Uߎ º„&8[”êNÙÈÊ^‡ÒþCR¾cÎG¤ï¾U¤®š`óXwÚ÷ Kìši‡¸óÇ~y¿ …&Ú–+¾ î[CÂ—qè=¼›á`±7ªb—tÎÖå¬Jž®F¤[ßFè!üauÉ¡ÊðŽýÖ‡5¡èœåêÙÃéƒßÅ!SóR™&É5½äá˜wBǵ5Åóž\´ý9ÙmÈè󃵶Ås=‰ðùd ùd¿@=ÑøåV kr žˆ±ÁG“êhYtl×bþ¼Î@S U×äyƒNrªg³¼â³å=T²‡ 9ÙöÞõÒ·àƪW­c·z9é¢CÝðbAx<´­X6=Ìñå2p>÷¸vhAjÎ6­Ÿ¥Q¢R7¡‰Qwà“è_î¿î¡|à‰žÍI±ùÉ–­ªÕì1Éèø™=W5,e5«:48úSÜ㟠höájB$#åõ¥¬Y‚ ƒ´ˆ¬Ú7 H{¯¾CqíR¤ØŠ6xÅËRTd°Õ¹ýH&í3ÄPµƒâd¥«Í3ª0:­¯KÛYvë™dÓ¨´|ú꺹p‚1ô|µò\ÄEøƒ¨‘žHŒ:±–F~“?ËX/c2àZb0ÓFÀ²Ì(îe©¢Þð…GPz F[®rúÛå…6ì¼hRpç€ØâÔÅà;÷®%.=u… ㈶à$BBéˆ [@!ŸÌ®d§AÓÊ9»~ÃR€ELöãbÛW,ça’|WÛâ•M}@çOÇøKÁ;¼Õƒ¯2Æéµ • »ÑcÔÙMêÓþ6ˆl=£å–½¾ñÂó³Œy®–l)r¿s9(MþLG]Tõ¾êÁã‰Ù3ê/I¸!”&ßªÍ j— V ~ÄaÍŸH!%,úŠãjÕ)´aæëq§ËÇÅwßó”ÉŽä#£™T¨ñRÉt†3ê®"Ó¬¼8ˆ$HÓ]Ðêñù IíÃØÏ8»wn ëèaZ®à…åè“ ïÔc:Ôô凖> ÿ߇Åý©h*«Í°;\>䢅¡¿ññ™J¦7Ñ1´èÝ“]ˆÁéп~æÀ^«Ûr‡˜ó^+šhB!wŒ×÷4Ïš*hÂx}UŒµîOÎ,n•ÉFI£žÏNL"Ûyàÿ0ð¢êÉîœ.xÛH=§I½DÎNÞñ?!5Ì䔤lÐ|:ìÚVqR¬'ø•«ü£„ÚÙ=×+Û®§€äº@ ÆN”þnšŸÝóQ”p*·oÙµqÎ ü…9‡dÅÝ‹PwFlúEÜýƒ9¡´¿z´û(9 8úS,™µ£Œ)>÷æƒÇHtÅp~èÊô~ÐíZ¼ç‹ÑMBI]mÍJ|òL„ˆˆ¹Ê\µ™3?‹ámzì_$&Rà+åoáˆT˜$HRœe±‚©á výÒW{ì©òNi=ÔÄ'IÊô®g3yZxZ¤#cÇÒÎ|hÅk{ÆLÒ8´îñÜOëÀ|'X7´Ù[ùk@„‘}$©¡k'}m3”)ZÑ›*¨247ã0F3£m°á}\rÃKb G=G)7#ŽƒAé%—ü[W+üìhøš -Çgjší•"?—§:yNBDêK-”lÒ ÓßÖP¶ÊTBÙÇ¥ Ó*o›-øT9îZ7â¬ùeÖ’5ÈÜQr?kÔ+´¯BhR‘¶@F'¢`VSŸ¯´;Ïù"Ö3ÛðM^IüÙ£ÿÙñ=zË£.Þ¢\±vBhT•wz‹ Í{‚Á¢Ê1>…²)ZÇE¹äWNÈB†GgÀfRóÖˆß\#$Š'¦9M)+»Ç]QOºþqîGËê*-šþyh›sÈ&§¦Õñ¤3´½J*!´÷€1Úˆ-.xB+¼¸|厓01~»8yúæòí"T¼]Qaõc|nçt¦hŽìkt\ºáZÁbj+Á´Æ((I”y…a°›Ê—ä‘.Ø—/±ØTÛòéƒ÷º;ò¹ä™wä#’DÒdíîzQ{¦K¬"Œf¡Âm_í÷‡)' *#ùï6À¨Ãä ì£A°¶OÃÀ$SöͬIæª`Ùq7¯iÇ;L„ègš<7ÕÐê®nR×b‡j2àÃ¥M ‘Ó^Z[´j2ên2ròhÅ ‘¨¢‡ÏºÕèFq ¼Æ…TãtºÐ[¶Ä"µÀ®ö',ƒm+L-¤IqYp¸JD™ƒùmJãgœÿ sðeÄL>ù¿âœ‚4kÉ·ì†SU[+¶7‹ý C¼‹ƒïTê®{Lµ´íU 9„“@]WãQPî¯ ¬Ö™½c?Àæ…’~pönÒ;$Ù#½í¬Êƒý`…Jg2uÞ‡!ªÐkÚ‰¥çƒ§H“*šY˜®0–­¹Åˆ¯dÆñE´óoä5Å+ý€n yk±ÒnP ª@aT€g›Õdz[¡T~„Ì™sµüOQ­ÒËvöRÒMŸ3 hÿ=Ýa Øì:Ë&þ6‚9ƒÅ†~קæćþ?èV[ÎᦋýØî`ÔÁyÞÐÔг´,ž #qè:€§vV×"˜Íº€iµs’YtéYЄïÞúš6Ý£4CV9-Ž;ѯ|¾ãaF”…ÑR„ÅÞònbQææ…ÂÝvº"…†CêaòUÞ R~A+ÅB?OåïH >³©û,4y®˜­^¶“lö°oâxäz¢ôn4š(Çb¡ff™~»_ô¿9¦GEÒ´9s¼,C¤‹%׾߷k‡NôX¤Ï²½‡ÏÓ7Ãå°L†JŸ\r`ÇñÅ|\r·—´¡EÆiCrV¶u!œù!½ðÍ´T&vO¦(.¥ìRõ2œYïl9Ÿa/_MÑê*”+á»ã5‘³é…™z¥;YŽÛÿ¯#Äg-Ó' )uùZ2Ɔ¹P–ACä\™}|Å©å´Q/^°ÏWÁ ºov$ …Z¹Óqï)zS¬ØË×úC G•ˆ+]Q½Q|§üÁ‹Un9Á”w¹ÑïõlZðvi'üB©É¿¯òª¼¦=BtÍS±7QbÙ ò×{Å‚¿ h¡eWvÉO|P– lúâE‘ËX^fð•9Mï @p· ¨Ï?Õ-8–`/)Åénw‚Ñÿbt“Qþâö°dõSö­ϧ;/Üwz÷>‚¡3M¶or¼mV“Ç,9„×ä}pBÝl“Çþj§û K™²³ ±${Y©ÇM),d_0N£ÿ{æ!CY'-ÊWn³ZL üŸùœÊr:/èd«¡aë_lñÛТ}„lg÷<.¾û#Ó·0+jªÜèÛ“nͦ”üAüÎKDÈzÜ? ¥ãŸµá\6Û+ƒöªƒÀZöIPÁOlÝú”EÎ 0TNÒ6gÂú·lV>Ä|]9/*ÏŠe…Æxn†EGwØ…¦4LP¤£€°6aŠ#x¹H6q¬‘ÑI»NMG#¸ù£ö9ûVväê—D&¦Ûh†ÍAÅETx%ƒN ›ˆ¤]r˜V£¬vÒÑ Á×cÏ"Yp¨†00¦K K\\Ì~æ¢6ü9¦b—vrÕ7·É<Ïî¶S­ ˆL&ºÌÈ(>Ù °€ô­ròl>€Ý¯›èsWDŠõì¿ü‚~AÃÛŸNâË@7£èÔJ„ n´r(øI¿Ò1Zj‡rvù°¶Cƒ[/s‘¯Éçùà™|‰±³_zÉg,ÕÜ!P›Ò2ÎLð´TŽä;©F ŽÈÀA<¤ž¨ÕPGw&K ¬mÚn–¼ËŠv¬"°€¿uf\g=ÞR€³¨L´l\•†Z\¥Q(#\ÏôÐGó-à´çt?›Ç Ð$ËO’ק£b·²’RàŠƒ‘"^sÓ\`¬õ‚WzœmjÖœ a ¹ê°Á ¹ÖC¢ÁºÃl•r‡¤I;b1.[ñ\­Ho«Ó]:‹EŸZµr¢h—ªx‰PunKÑ ]’ö¹j¡ÁÜòdçúH‰Û^( ò¿ä¤ñš‰3óãAÝJ!–=©Æôç›sùª({éßH„'ʔŸˆ¬jVŒ}µW‰RK£(Ž –áäL¿ŸÊ=úºkàyNE/¦a‡‘ÅâVîi”²®=’`òþhótf%ÓáºCgŠ~'Ò¤•Ñh •µy<¤—ÞŠRÞ&T¬î½ðF‘¯è† ñ_öÇ`Ë~‚dŒšÔ.ĨÒÚä6Ð|ÚnóRê&“Ž/”®Gé™ËèAݲ@.µ§Y¾¨V¾²1`!¢²Žò½‘¢Ùäõ1Q¼Áð Ý ¾NþØ¢ÿu3½-& =.»ðf"I‹³¥¿’ª›{ÓÑßì>ÞvR‹rn´vs(ͦD¦P»þtßÒwîÄ&õsSâsÓÈ’Ï;ǃ$žÆÓù,.Xæ˜ÔÀ‘*¥‰4ÈÍYÀágNœ¼o6¢ÉUY Ï£rõ‡ˆ’RÓÐ'ä'qìì™SÚÖ>œþûfÖŠjõŒ"qøFDi”XÊþE'vŒzZ´dipµ¾X)º'|lÌùзâdf w"¹çŠŠª5‡´<Ä £:Ø\ÕŸs…Ñ4˜£N|×xÃ:0Ý“.¸ÁðÒf4+!RbÖ/§ª)˜,ãèÄî1Ã<:ásn€”5jgÔ¿æš6F®+4\‘=1ª ïf‡Vôâ -¤of‘ðþ&‹Y]ÞòÊx UÓ^¶‡ò5r©ðøÀÄ“¥“ÔÒ p—a[BJ{Z3´ˆ€@xšè銖¶_‚ý—Ñ÷V0ÔzQ´tšlôVàvH;YО¶:OÂ-¾‚Äjfkúõ+g–q¨è¤C%ó Q÷K¢{oü‚Êž7z!r6 —ÎnþW"Ò'õyK´ÅFÿv÷ü°(· Š^Öݼ51Úê*šq˜°¨Q›AfªáhÂvM8åµ:)®‡3Ò\‚SNDÓÊöŒw‘¸x‹ W ¿µÖï@!{öQ€tÿÑ›G2}—¥vÆ!F3éÐf¤cÉÈ dïT9mrþWÒwˆêåÀüìõá‘ηܱùNpò~¾á¶äÏ4nÈ¡ÃÇ€2ÖEÑå­ÃÌ•Ur¾„Î)Oú`ø0¢ìHïì"¸­ zú–5¼²ÄïÆ V Àõ’w51^ÏùŒ¾¨¥ŸÊ¼ yåò¼°ÆBƒþGˆï€µùYÂÅÙê[áx ¦â‰s­ÉGÅ.¹ÍT³Å'9A“onGØ×HM“AzaÁî¨1M»| x ]ØÒ’$ÈúÆïŒô¦9ŒÖö# SXæQvRwsã8Y|0Š¾ê Âå’íå—}o%G.@ñòL™‹.ÐÚâµ=£6ù°œàD×j`@–¶ú£6© pÕ Rã4C\âêÄNíÎQrý¯z1« #C…·sg†nµóŒ~/r>sxÿ†oùCÇL†(3I½$B§µ<ñ]xD­Ö[xXHÙÚlpìü1Rc{RƒïæjDªDW]Þ¬ÛQþíŠ]ûcES+—Ji]ù8ÃtLéÓ´^Ô}‡aܾ´ÍŒVÊÎé "í¦6ã|Œiúü´ Q§¿ZЗZ!Ÿ9 êè6é90¶0ŽÅÆÛ fH|1v¸¡Q‡Õß:wýUh"‘{Q*ÚóÏè欜ÛÒ¤ 5—Ý "cÂ]œùð%”≪óÏuœy.n{Œ^Öp¢æ U?‰Z,u1›'0sŒæ«n.ÃoúV¦ðéË4È_ÈkÒ†S:¾è±¿XPJî F€~M*¤Ì‹­ÙÀ„Þâ7i½Òª·ž­GHlx0Mx½¼“€¹YBxíÄG6˜®·n­…ƒ@Ñ…›9f1t¼ä0ÚòîEº †}cI B L3q4b¤0ø¢Bˆ¿ [ÆF/;æÂ-bÒi9×ñýâ\‘2©ÿPd¼1ûî!)ëU²ÔÐ'?ä‚p¿í{,„ Ëe/–Ë«ŒÎd½àKY8߃þ˜>ZñÓÚ§7Wäˆñ{×BCz"#òŒ",ÞlÅtøûÄ yCÀUµd«p|·^ô ™Î¥‘{e/yn™³cePá%r›öø¡.=›ßwþý¿ý¼øßVü‡o“×ÅÙΧ—uÍT·ZÖtéE ¯úV„IÍ°qDDÁ1Ørb™ÞûApâÌd`ÃÐˉ´•} ÄŠÏ7Þ:&z {Büv£,ÏD ?ä° T÷ÿS/szß3[‚ÿjª*]¾ ^ˆ†C·v†vµ¼YNóUÒ¬ÊFÇÄBºè4ÀŽzù·^W:O8 ©«ÖDæžM”‡Á›|%ʈpý?p´åCí¾:6éþÍ D¯‹°«ÛSÉ`È‚ñð£ îC']|SmÒø¸ÙçØ4úqMàÍJÛ³Jæå¯_”O°áÁ'´ºGZ€‹Ñ¾—žauδ:NË¡ÞZ/WjIôWù TG¥œÆgšž†Qk€0ÇýCG³¯°É[Ú™ñäÞ÷ǵ£^:­•çz€…‘ßm¥+ê9zåom»´³©¨ð\ƒò/ÂQœÉÜâ-ÂLŠ"QËo©µêêN>RõsCœt7Ò wå}~Nß<ïÒm ¦¾ê\‡ø|);ð2ùÔÕãâ»o¿õQQ^ýå’Ѷxãx|‚µ?ÊœYU/ܼ–ËŠuŠÒÊ7êñ„‡1 ¼_ÁYÕ¿Ó{Æþ×UÒÅ"—;Û9n —’qôŸ²@VcÊt,žâF©/ (±Pä§x;ÿIŒIÿÌWb¸øpÍbŸ",lË“Ùcëé0DŠzìÛ£G纪nÛõ¹[ªw„"7·œÿ•<*8Óçh¨þO@»¶A¡zá½á¸h¯G(®+l:î'Gá>o ¨ M§!–ž˜ ìô5,\tÕnå\”U®›°hÕZº2$àKÍ ‡àÓz. 7M#Äà!×3¦M JÌ‚æ»8 Mø?ÄG…V}ø®¬’r/“#%ÿ.úùR¼\Êäî/÷úêûª®—;‡Ø¯ A$³¤ùF!ž%3cxñáðõ6“û¹¤o¶O¬M#}®á‘Iã*7ƒ$å»&ñ˜ê{CÂi^øm)b«!󈹮ÍkœÜïAº¼© ð-}L1µ4€ž´R§"õ'ƒÌz E­¤~rÕÁÇÝXÕé†AjAô|Þð8ÈïLNÎ Ë댞‰>?ÃœNëZÝd>ØŸÒ$Õ TL®£QÓ ±gž±á"^èI¿¡¯ü\)hâó~É;åÓâD'!Ùþs×ì­Ÿa}ÿ‘^èX«ú‹¾ Êìi;áœA[úulÄ ³[„ Ïg"HêóسÆKXœU=X)b”ÀP.×7Œ=ç›<š{üh!tfiÔÛ{£ˆ\ÑyÓ‚å÷#Ü´}PpVD -²…°CæJ´¨r_šŽ‹,¤C$›cŽŽvŸMnc P‹ èŽ7ýÈ)(”j5nÚX­ze؋׭(KUw’6ý:Ž±™A™ š»Ké ìhe3¢Lãm@‘.zxni²,:¿„Ô^t@ÓiÇêYž¯´—’– [Z²ªbbf3iÃìÀæð´e9 Ò®NîÇ¡ æô@³é lÊž† åÎEàf×Jf‡»è¡+-“….†¤ š…‰s.äX x›TROƒæ„îgHô 7s ˜'ѲäºêEžžÝ‹ô¬Èc¸/CTÒÀ¬QhNmkǵ:•ÑNB÷=ó42Îõ¹ ð;{ ˆ¹vË·†ÛÒ›xHSÃŽÿb¯ †ŠÏöºâ½Qñüî°tàyû¤×¬äÑ/qÔ—×è€ôÌfBë験çQ¦(Õûnÿ„·Fé/­PŸºÁ³V÷ƒ ˜ž„ãP‹Ÿ©[ŽmmÃ#é:tÕ¡i§34WÃØš‹ýyiÖDª’_*zbH ´fvÕ¨•nx;KäëñTS¸½IèDU(†é‚}n2C³K-¼·±'à’°Ëþ'ciÚ„ôµÈn}`§o„ßµnh¶jCOlû©ýÒºhÅÃ%ÔÒ%¢w§ÍAÝÍD¥”u>×ÛÚ,çØ…àt”ш¯nš|1w_}- ^×øþˆ°b¶‘å¯Ùçܬ·lÒ0,8+¢^GÙä-Ìù8ë·d2Gú^©¥¡~ãÅùƒhAç6¸ªeò&$K÷9ˆ’°ŒãÕ쥦Ôk¯†“‡H0lÆÅÖU;±r-»i÷¿[ýqpSÉûdꀦ IõÚïö:aƒ©k¤øvQÏ$~œw~A°M£AÍ u˜Ün#…SWl QÄà»GÔk!æ7—~ŸH×\ú'û(ć=E³ñ—þêæ 2ý°‡Am69v“9} nÖ4"¼‹TÛÉÁe>“ÓUˆ6·ÄfÍÕ\„-'=ÆÇ6KMiÐŒrlå'Ç®îWæo` èFïuõjÉ0Ò áÄ-Ì”f†´IP_i¢¥»² #yä®Ut±:¸'n;è'›rJ ÍâG¥ÇÈ)¥øº#°;#*ºâ$pÒ/œŒ,Œ«rGÔRÞ¬‰Sðµ-My†¦08!5kÛ1jEŠi²™©À²p_ÊBwÏI±'NOi (¶ÿíßâ»pð1Ü•ØSðÿ/‘÷ÓÈ‹jäÂÿ6dZžuaÇ¢÷܇¸øK–o’³`÷egj¢Î¦ˆÞ¨p¾~-[n»ˆ*fC(u´àoôÍè‰gá2ë=*Óô W>ЗD4BL Ë{ìY' !÷ÀHz!Tˆl±Æ îÉ¥çŸÍq±ãR-ålt æ0ÚÌÓHªÎU¨®p.ê|ÈX•ãwÿO45¯þIÃoœÚ×€dÚç%`´òõ±?×pì:2 ÁëÆ+ÙÊ4ýŒÕ@Òál`bqwœl¬™JF U‡¾XÔÉp¾½ÔBAXÎvO[¸ Dp-AN#AvtãIšdÿùk3o¼g5°xÜòÕq|SHyë…/ûJÈó”æp¹ðÎ[Q_ý¾¹¤A6Y~W©mcØ*4±±SóO&qu]c4-Šþo¶ ¦Äo£]À¥üÕ2¥ó½æ0ÖÅß"qL ×ö ÔrÙ·#±aèÌ;¦M<k^†RÝBf ñ³?X/ìÊ®òÒºÛ–õ+ɲåŠÉÃïE}.{ìˆXÄïb:Ä5‡ëÌFéŸyCHü3ÏI =ý8´) Τ_t‰¹ùÍ‚}‰2½â‘Þl?WÁj$¶æwbE©Fx¿ѱì8 ¾Æ ˆn yò°˜ J#÷ÅtضòÖeÚ{¶N’6.qªsÇ’Q‚ŽÏ&¡:1¦¬2WËD ÙpzFì´*JÀââ‰;#¶7ïÓËžù*;ÙóÏhêo‰>—-9e?wàöÐ’«T˳´ˆ:=ÊLîµê}\c3ìp¹ãYŠû–[=سËAò Š—O'¢gb¬ i ¤qE· —ÎûƒÂÒÒÿ$?„/?GB[oñ'•£šúj $I܃˜FÙ¬ÔÐs˜Od=)×€ô±Ûdè9³mû‰o›ue”'kNÛxÎTì7`¯ÔTcþñÜâqIî®ú³ð·Ö_s;ê1û¥êF¤ ¼Ëæ€7¨TÀ…Rä;h‘Ãëo:è¤V 2< lÕNAýWgy=ôÉÒ„ä(C±=åCUÛì= Q8´ý9¬›G\?a ™š;„V¶5çFRìÝ‚`lH» B—ú±®ä¯zaec $߀EQ¼b ©ûÓÙNe\,}ó¹šÐG3ik©À‚iwF£Ðäß!MÅS%¶µšN»â=þg­Ø(kÒš”]=àbƒ/bô ÀªXME4EIØ¡c2 û˜¥-»M ¸§ï²—*ÑÝ!™—z–úÉ×¼4Ín$ Eœˆiª±Æ®X§ï8°ÒøO‡½²¶OhzöÞj$j»ÞÄÇCGNmÊ5ÌãËÈÌRqxÓB_—ÛB™®Iáž²IœŒ±´–"ƒx¯áWõìáô3ð7T‹0ÅÐVWü}sdìsú"é7’]2/};‰ üÃXÞ$M-:§‰Ï¸?Pu)zÜFÒw<*;év±a^9E™ú<Ž™«Éß&KoÒ7=F;J_¬ÞǺjdÝ€­Ð2#¸Ö Þ:?“|jŽa…õ\6z•êÙˆ¢a-\Exhsპä¼'áVß©4à+\UžÊ²k.x<ç.ìBÝ—¾×.êÉL««¶x2<Œ¼Añ5¡Ä÷}Îñœ«±ÐÒQÏûYÔƒšƒåG€HJ)¼Ùcô@2Bÿv“nùR×}6‹xVgÁÈ :ã,9fya#% Ýpƒ•jßβgÞ‚›pÌ@#ûIX) (5“]±l ƒýäÇm¨¿s£?nØÆ•-˜Øˆ?óFü>sž¤tS ‹‰üy?‹^fôPÍ„Í€·¦ 3ÜÕˆˆ×ÑLxß$kC6à°ædÊm&9 .AfdAåšh>ƒd&B+éðl·¹ÆßL–rÆÄ9AhÞ¬T÷ý2H?FÚêròª*c úêð¹ÞÝL%5o‡4˜Q*q-<4wƒH%9ª.<ºÊG ’8j2ï0šM>eû×è£Ëî(æêšËî¹#úgg¬Ø‹î¦ .2x7ý…câÅôëh÷ôHdn8¼)hç§ Œ„ ’áà3Žå“ûŒ!|\tû–ƒS“¾ßÖ WÂFå‹zãlþ2V}s'¹NÕ¼G Ñ ›Ü’ƒá²ì¾‹ñg#uZ>ÆZ[ ò!Ô`©tB†Ô‰‡Mw4°ÒD+¯ÃtsÓ!ÃnŽ8O“q.±ìTlo ˆ“N Çå^¶ÏãÞ£§Ñ@Aô„­a¦„ˆcû$¬q=Ê5ò" ‹èKM…ªP4uw£â/¢za‡ ‹ý¸Køï2wæùY;¿$›öi‡<ÅZ¡$å%ýàpÉáÚýòy á4H2Á‰þ%>éÒ)joÎ*’Üç_@H÷Žôimh:ÙÌ|×4Îãæˆúg¼ÒagJªãùy|ççÒL¿€iXê„ìý,½Ê ÙÆ(‰±).E”Ë zxÌ®ÉpcÆQÄ_%kó%_îÖž‹,ÞZLÈ 7[";Ý%T‰ü¥õ=ßœÝçÁbÏg1°í¥¯GhJxÈdEé+¾é€EÖzäÌŠôò¥¢mØi÷ÞÀ%X,m-fØ¥*igŠ™P场ŠÚ¥N­Ÿk=*ÂECË=ƒâ±[:î_È%`?>:xnÇ»Qˆ žu'3åÓýG/bûkû^>*Fú­:Pâ|ê@üÑÿ³ÿ‡~œîïõÞܱË~¦*\ì–´IÙ‹=·`"ûöÿ3tê~_üöXë)‡xŸXû»~ÎÛW;ÕíDèξð~кü±çfç@ï<ïWί2ñO9p®Þ˜VÞ©á¡{1·¾ í¤Ì{ÛÊšò›¢­ óþ\·"îÒàõ(2C~„L%Iâ!²å‘ó[qüCÈvØr-©]£Ê…zm÷Ľþ5ˆ,Á ‰' -DDդϕ+u&ökmÍ8Œû^ÒU+ `l:*oÔ²ØèeÂÁUle¯"òHÇR–wÔë¡öO|ŸÈ»ÊÆe€ˆ;“‹´¢÷k@=¤Š ùAý¨8R3R„Î ÑäÒ]ŽªšÎ¨«“}'úÛÔÁ³^¤æY—(¼¸?;(Á’*~&ö-N4sªz¨h‹8&šˆ¼VÜ`g?ú”¯ï«át %&!1ð'‘Ør.ºØ¢¡÷ƒl']Œ¶m¾ íVǹéÐ9Å#S0¡ƒöØLÞÁª!å_¹a’…¡ÅÓòuc@ã/÷_Ÿ…h›2Ï;Ñ-ý¾ K°\@bf¡*Ôg|ÜŠ±Î‡Ò •ëâØtÇèÈŽ†ß¥]؃$XD?%¼ ©`ëî–ɳH2âAÚ^%†¾‹á›£%»‰±s³¹“Ÿ‰‚eë?Œ*(Ëô¡Ž #™B‡h®Â²{Å‹b6zŽQÔÔ®¹#.._ª`gÂÏFùè&¤™DwózDb% 4ÓJV±ÃÜ5×5é9xÒ‚v‡ˆ<ÖõÔ$•Wù -¨c§–Nz¿#õq¿ýqÂ4°и°Æ–’ÍûkB±½éqi Øqè?`ã*ñ¼RâNc3!©L7ªöÞ%mçª,´N†ˆRàéNN1¯så‡7Á‚€²ÅÅ“®¦ˆ†º8Ô-a1 {Ñ7`é‹4k z¯ÄÏ`›ŒqüЧ2?Õ(]¯¥ø\é•Ñb^õ¿ð¡ê>§–ƒèO:Åöü¹]4pñ}‰î¹ÿ‚‹„øÀL*#ƒˆ>Ö†‰š¥xŠ½€![<Ž˜qRÆ);þ%ŽGòfÁº÷JsZœuGñ9@ú4& öHŒ>^EÖ’0Ä^ ˜XÎ{¤ø}$þFÀPŸÁ2Ÿ»bžn,hù¬Bñ}må-°ªóO›†²ä¼ô*&ðßþHº$Ö+úÈ7‰DuZ?i©˜tÅùÄ“åe‹¿!õ §ó™!8M~Ë­oi÷Ú asJýšÌÁôÆe¤’žQÆ0°›îw-è;S4ôut¤»%O†“Ó~KL¬SJkæ4¯WñÞ£Ö”\áI–CcÆ| Nûê½*þøíŸdì+c OÒ«Æ¡©/JR׆\«ÑØ‘ ñ‹º0#màŸQâ#¸Ã(­u´<)ió8ã¯l7>3‹M†ëýô¹5’hy-pÃä‹a94Ý,_».õ¥“?rLJH9b‡5RªŒÓÎ,÷§ø:k û™!§‚VñJ(MI³·–Ƽ<. ÖÌZ…e?uO~¾ßÕ¼÷—óìM)xÞ5á˜HNFKÏ…øI 3Ýèñ=;ªhÉìÑ‹ƒÃ­Á6 ùnIÁ3äã6ót¬ô—ô¦¢+99! U.óß<×#D°Í"¿sx$úŽÍ0†‡Ÿ¼%MÌ?‰`É{½ˆ“?8eä ¸ˆ[9=—!&cBšØ ±$_Ëé×óä) \c)ˆ)10çaMÛ°>Cp–è ¶FŒÛ² hÀ¿$¼5SCê´)‹ëš…¡—Q‹2Úx‹ÝX\Œ)™:JÔ¡ãå¼AÃVÜ1C¬¿‹Ž•ë½à…'•:¶ùY~°òòç¶Rç°<‘ê¡ç¤¾¨š¹F_)93UìZCv«ŽÀËuF„vHM°ÓʵÃ@‰¬Ú¥:ã:°Æ5±5¼äÀ°ž}ÃÇ04VvØv5´]ÔPªÙó¶ŒKÐ&·´-ßfÙ½——•Ô·Ý`Ìr1ký¡oy7 °9;”ƒ–|žWœ\tÞF;á)è¦Åz4Ó1Lä6:ìj´ î.‡×Ö4âe1öfÐ »¤Ë€—º‹Øm«õmzŠ™Ê­ŒR/òXªå£ úÏ âOŸÆ¸¾k,Ð (uÛ k˜xby.wb˘LEñšÅÜŽÏø(?Ô®ùCY"èZ¹èVùnL…èІÌÈ„^'=Ôën¡‘¯ÖwºÎB~Õ`x¯ô¶—”Šzå’Íû.Ñ!XÚXRÖh‘·ÉååÐ`ÄùF> JÝÌ4ÊÛÄ]Ïs«ó†kQÒ¢L„Îœ‘æ…¸ÛŠ‡îq‰þ¹p9b·ÏNZjaeãšLÜÊf¿Áø$Q6e,N1—–5R‚f‡½¥mà©,ÂŽK.̪Ó_#À&*%ëájn>ö<›:èM´ô2fVôÃœ§¥‰¡o)VÂmåò“iv,3î2Œ¢¹ á,.? EmÇ<xS-¬’ª–¨»Ü°rl»¦:Å6צ–cì9÷íU¢¥ézÿÌä?Õ81mÌæ§HLRÉ.DñµÌã^&;Üð‡HfŽ ØÕÁD7zÏB漏´×zQ£:¡ò06~ü-BåâàšÃF~ï¨sx»856ÌÜ#]ãão3åÐI˜½LǹãŠ$vOFh[ŠÚï•¡ìÏÀ¬ôÜ`ºZÎp ]#Mõz¡]ŽyÓR ?£í8ÛžXëÜ5ó9‡ÄõnP&jzÚ›úά3R"Ú‡´@iÕwé×îÀbû²}ÅæEñE<¸Ž'¼éú"±¦•Û`Y‹«‰ø€û@¹ò%‚¦]èʲx}µ_õlR`¡Â ~œûä£wZOûVŸ¡U,üNo ¥ÁöØVºˆá‡î8–T܆ $K¹doc|¿,Ð%}뎯6• È“Sf¢ä¦ð® eG¼ìÿu2<¬Ž‹–â³ò?"mØoܯ˜FÝÒêØ2{YÌLÆóîìKO+>Úâ'3®PR¤y\ Àdÿõüæ±Eá¥E=]A‚ø}þÛjëçLÀãé@üIZiºo¶_ëÈÁµå*Œjäf6Ïñë ZóŽièLVkÛÿjµíñ¾ ÎÖ›wƒRNÙÔÆÎ=5 ûç€2S"¢ËÍ£b·…ŠOjäB¤C¿o¼²8¼É<‘•23%+ÆŠZwœ­×WR‡EHgv_GÒ@vnÃÖ,$ÖŸ zuE‰¸±#M«ôBºj¶i¨’ð‘Õ¥H‰Ž›ÜÁÈHSÇ_½"ǹò¿ý PNò»P¦¾X÷Ï–ÕÎ!2Éés†LÝýÝŸÿ'ÎKÀ&5¿ÝL®0{ÕP>›“á?*%&Úøo W{´ ûÁ/2‚V|Ð Nú08_ëxfCþÂm®Æ¹¨åXG/ô5'åÚ ¯M•ô) "acóK Ky¿Ë O‡Œ«Ur‚kEÅ)QiØì /ƒB“þX7r5Ž¢0ÎýN8@šÍõª’·¼Lâ܉1__÷ǘoj}¦QaÍ®p".œ,סí6òÏ“ýÁº«¨±ã­ëüø±+YŽuL#µizê¼_h“QiÒ3µ¨†z!ˆ‹OŠj˜O¬’ŠH%RNÑÊÄ[4âÍ@™l÷W™a'7º’=±òtŒ%ößu¿U(T&ÎW©ÚOU±[+Dm0ijÄ(š®F´Ÿ;®0$Õñ”—c+èž i–iä-ãYKš"Ûè`Þ 0ëDA!ÛxB)Ð綴CÍ´±ý‰†©€:?YO»°°ñC‡Ê9sd<Õ))GÄk`TlA~ ÌVN}vjéc„Ÿwmì®6$oŸÚCåØ·õÈ”ìX[ b¾ËVDP>=ºøn¤‚$×’D¶?åChÁÀÏ…P€åða±gÊ9$­ë‘<üb‘ &jb0‚XCØÛb‡æ9¦.*­4Ç`2òQQ‹õyŒŒfÛP1WˆûŒ‘ üc„mÕËŒU÷V&Iæ©ÛN¸à=1o•Î H9ÚÃí:QX[lþhoN‹µ\©éÈååtaœn9›5ƒ›¦“φ¤5r_‹SœÛÊ0¹ L”ÂHAÃÓ´ûú˜ç<˜a½;G´,Âgü–.¾›9[ÖÙÁWöžÒL n#v­+À-0I‡L™d2÷îv %3X¿‚ 0Âzêö•B»7¸U§hQÛ÷Ò7öPˆHaïà‡£+ ÙÌð@ut”/’ß4H„‚V fflÅÊ€âʳ¯$cn8ÿþ$±­yРa¶Y@‘ ±h¸OÞä'z"BÒÖzPÎ\ï1$î dÌÝý(ë O†HuC [c¯‚ÿVîÅÑ£×òÞ|ÞÕÌ .¿j¼€­*§Ê w+ˆX®E¬êâŽõ#ðƒÓÎÙ@­ËÇzKŠÈ^ä&¿ÔK3å,&z!”Cn«b³Ú‚m'pp%Å’Cp&ÊiÌT÷øŠ³ {¶DO„ÓŸò3šrÚLb.ö¯{Ákí+´\!6¦gHª—ºÄÍØöŒÍó‡1ܼ²n*ê6¢Ô§ ‰µ×µs7)>vFìÊÃÏ$Fùf U} |$8Lþùë=6Õh V¾»“I'ê ÜÌà9)"bêeÝx`U›ä¯o÷ŸHÕ‘¶}«ó#Žœâ$³?\‡wà´)hc¶Ù]/ƒK¢ÏíÍ´£^Τh&µÜŒb.ž/è5œ\EKQ @½D½cE[“÷†:u‰ó™C“W€lŠÝŽæèÝêq ¦•¯Ô¤ßÄõãp¼lO/$MÞÞqîY‘‘$âK¸êA¡Ê<ð§í§}!òFØU|Ÿ¹d¹a#_X/¸ÂÔ¦lþ+!F‡nÿEÇÛ`Faæ²Hæ.Ϳ䱑||'ü×êv1r¬2ܯ‚7ôr/|>Hï›~ ú êG14êâxHûo¸Ôàü‹íú÷§þùÏñÜøà«0®¶À:×£GÅýÁç îî|è’¨°œ¥  ê.öSÊsÓætW¹UJH¼ ]ô.Æ´¯ã8'1¹æÁ ïRØDã·òŠÿBÇ;¯Ùž>ö,î´¶ÒËëi©:þ£¤»ÖµPë“;}[#4J„âfŒß1?îCѳ‘Æã’{£CzCI.„»‡µ¢2 [ñ=†E'Õ‘²Ðbl`À¿W©FN«½¬É”+Ö¥‹ÝÑ‚É}u¶ï ©-ý?bx¨ÙÀ–ÂÀæÁ(Θˆ)ÿ"ðçvgPЂ94ôì¢ä ©; Ì…|͉ïò 0ÒÉÇÁ'ú™Cª‹¯ûCfé(³Ï•%b[Z#‡…ÙaŒàÉÎYC^¾ ¡_g=äì\Œ²}H=¢¨†I”^fL’ÝØgïÿõ¨´4bZ)0¥’žJíû>ºßK°ÖÐn ¸ÃÊ8P0%½C~aû7ÿY4wDTïr…ºgºÒµTnå“\v¥³Gy coh—S·´mk4•²ì¸“±?xÃú4æ¢ÆÇ]?´ïùCg¥„‹çª>•)ÜÄ·å‚êl¸Ñwt?iÂföÑÙÄûp›¹_ ;LäÕÙÒédîd6™A{W_Ê1§öXqEaΩ’†¬ÃÁ­,ך£¿Xyð"&vÞä#ÌЄYP׈1o- è¹Ñó×m]ç#kW?Yô rZ,&/¹ñ­ )ù˜X…Ïš±™0~Ô%û¦U šë߃)²*ìÖ±©cÇ0Ñ]«Ã~åsþÍÉäVœ%ŠÒw0Ó‚ùW.UÆ: ŒzÆUî]ZÙ½ODÈç>3/œKÊž:?·òJîœa+ðÆVFi›5R‹'•Ï”«ØtŒ¢µŒ_äÖÞÜûXíc7½4,`Ôð²_³¬U´±Rë8Ä9"dbÓls|ek«.ì4©§Þ<WšõdOY±OZ¬ÿéÑ–;¢F‚½ØqlxüÝ/BªóšG¹"¶èZ`‡Èo@ÇîÁ?¨˜†èD%Ž«F X´.Ùáw$¸º¯xIÕÉQKÒDƒ°Ä‚§åañDWé =”ü7{Ì]㤖Ls2؉Õ:´cö™îX±–~ÆP0¨>ò‡Ôq¤§Ì1uc2 Kn½rë¼TÜ-ÿ*Mî`L˜nj¬fû5H´ÄmGD­å* ôeeÏh_&ƒ´?T#ÑóŸ3J+ª³;7Å€Q£dàá}ѤÝÝÀvçœ&#gÂê¾(-’s¦•¢Ë‚RïªØþ=æØЬ5áú É1£â]pé±AØGpP|Å`Û£ÎsœL,»ã¥fÇoÀèdNä7@Û¿¯÷ǤúÇÊkŒï×–¿‘x Qtz#€Ç‚mýv@Ù®ÏøQ´Êmi_éaåÚ«Hj±JɱíÊæï ’s½³e²)Œv]Uf¦J©Û²X§@ô"0Àå§Æ@ñ½¨úýcLŸ3tÑ\£Ã#¯ï1¼ KÓ´?¹G‚åWÄn:È–Cº;µÔ|¬„7úãbÅ ¶D‚!å¦5œâY¡#–5Ì™Q)$QÂÐ-¯Û5ZØê¹ÛáöÄxÿœ%­y\üñ[¹ðEþÑ×dôM¾A|a.ô¹á2¤³f¹B„´ZæZ7)3Ú,äTbØdCZ\,[´Å@‹È‰e‚§"óÒ š¢ÑC0=ÑL,R‚ë˜ ‘­¹£Q±“þ›XÙêëÚù=>‰Ê¡GŠŸí?’ÏVN!O je­PŽ“sÌøGö,š“7Y„w vÌ$Žëo/±Ü|S»ƒ:® ›ÍhiíÏq+âàF+¬çÚÓ“X q#À gX®\!R\x©¥ÖëAKkÐ5+—Ü·gƒ@ Ú×i.:û }p3€Of4†Hˆûãx›(Ò«.x(¹ó‰ès]…I5^ô‡‹:þí°dþ™‡·P­œ˜Oä `ôHa×Û(:ú ·+s¬kŽkW®}<_Æ[Š]p’Ô ºð]8ž‹ ðÒ/‚ÔmÙj$­—á&ò¹UѦt¯!æÖŸÿåd9ÐÙ`³Ù¼»M+Û¾v[Ô¦É-ZMêÈ¿) <íÍÛ4Hó¡ ÃD‰ÿvôŒ éFar½ÁMƆ£ŠSƒpmy” صfWÚniÁ$ šäZMz1ïï{¹&»&%öH1R“º˜cOr>eœZOZ׈ ‚Î¥¼Eâ­Üôø‚–ÙªÕMæõ«[.:-"®0˜y\ ;´5µ<-a(_ÃA¡Ý,±Ù´¶&Ò.ð…À´×5ài†¶™rÆì\jN Y"ÌøQ¹9ehWú¯yœ—ü ‚äËoT¢²¬"[ñÉŸ…0ž|˜×q]»%‹•Þ“ÒÊŒèD&c¤EW49ÛNKìy˜è8aá•íØØK¿N¤Gv¦»Bû ï*6»”…$æÇý1h-mÿŠÖºý§oeß1öýÊoÙ€³òÛ˜,#17>Õ#ÄYXú{_“ú*\;PÕšqZ2^‡h¸c$MÅÍ@MÄÓ {Åe>éND.4Ú)ŽM[ôÕÒ3þ*Ñ‚ ìfdÞ_p® þž¿ŽÃá3S¥ÎÏ;}›ã9{Þ˜Œ+Íû½˜é%‚Û¨·ä ¾\mñ–õíÌ…íw´×ë|qÙª­žÖ\¦§yXErɧ¨4„]ž·à4ùó¿Žvùœ{kÇ«}èÛ¼ê†SÄ “>¼+›ôõCôoy7:VÅ=?Ž&‘gûF¶>n™æ•“IŸ°ó,0å–oÍø£]ñ“.Ž'é,y¬¼Ì´mV"ÔážOÉÌ$ãÇ5Š¬«‚Š ßΤxÀš æ_eìp¸Ÿlà :¦•j¢e>vã‚XX-MP¨¨zωïd2ˆ %&N3 ÊÎOfš~÷)ƒýwwÇ},ÍaÝ‹ì2C®ypä•bÿ 0MõnN|Z‡¡éFjTØaW&<΀”.zkrÚXw°MJY|Á _GXu±§:Oì}xnZÇ<ŒÁé¿£CZ{Šµ yœýæ4oM ‘îtN«ý¯1]4|Þî(8Ý+¤±*%Þ,\½¤Üv„í·xæìR“êÍ•£Z®æpA±Y¼·—¡‘› ìÌé©V–!Œ+a!wŒÖ0¸Qo|ÿ­xÚÆÓÍ—ÂqbÔÓtÄßð’g†4õTÔÿq©äʾK’1 ©ÍBjv—tm{h×CÛ)Ë*•|æK,Ž÷x³?ö{÷|³,ŸÙìH›©ô†•E1îî¹xŸÒ=ÜFºkt_& d$mšïÖ©›:d°ìÉÈw°“‚*”=¸ê1äщ÷¨±—[)8@B‘œ¢Ú2çõêáןw£FF¥3Wª•‘L5pŒú5r¬w0cêÿ!~Ù¢@KÕÈ#.oMNH$ïóéDm½ôÙ53JÂá:.ê´>ÐØ€4:&Æv¦ØÓ¥=KÊ/íûm;ÇÚ©ZMµn3[š+✶›Œ¬–¯¹œ“ñaìúÇ$|öý ͦ¼ˆjpÕ^’Íü»$ .N®/)&WùØ z[6±ZwqLóûÔÄ"«Çˆ0Œ/¥¥ê¼x[v’’AaNãgz«í¼ÔE9>c¾Ø&ô»ãÌšÓ0ozËÑ}4:¹ Š™ZøwÖœd¿V#éáödùQÀŸïPï¼éRª©k½$ý7œÕÃóç}«ÎÒ_»¼”ü×;Ô.ÿù(Ù9Q¦t¥Oάèµ—ÔkŸÑÕ{PÃrÙÌ@T/ÅÕ•wžÌeºwË“â\šõrï„Ô‹C]¼8哘ü3¢u/Z² KÜü¡ÄÂþ,?6«gÙr"…¶&_‘Œì£;ß÷[Áµ}—®˜¿°áäÔHþ#ý7–ôÝ 8Šp]ŒQ¼†t}çÒ;¹’#sEx´ó<êHa;ßsŒ ãiOÙÑüØu¡Î^q¬:4×N\:%v’¤¨Ç9í¦Ö’,Ç‹hÀ>«­ ðl'¨1Z'ÑÉ„w:Yrˆpä²Â3Ç2‚·éE+8¹àƒ+îr¡ô•n'Hë•ô6°”øŠu†`ÔWC#â®òÈø 6{r  ½ÏÎ;M›Ê ¸§rV9,l«²¥Ã¹b Ü$:=3³QƤÒÏQ.OŸàÐs]5‚õCê Gpó9ý;vƲÎàšoÇvŸOâú° AN97Ⱥoñ„cùEß°þ% !zH†ß‘˜+SÁä!b˜@ÌA±™À ’0_Ú©”Ñ3ÎmR+†x ݶ®tjLèN†¢oiýí‡>ð3nMðmxŸ/êaɓ⡦¨”A%.$Pu¦Íö…%§‹ÖžŸ;ºåŽH¦åÒùùŠï¾c{EøûŸ‘ýágdÿö3²?ýŒìßFöçøXöÊÚiâèbôm‰}F|;—=JG]÷À`É%wS·[çs×±IÎz!bÍ¿V§mv>/:J¬]£|¡;a]½Ìxi$·1Tj,§»¤ ‡ê6ϲz¯9´µÝ{$÷?㬧ð‰ÿǾZ¶ za.¾T= Â$eçJÀµèÀð%ìÑAcº¦øÃw¾ûν±=Åç"€Mpbüö…‹_r)húÞ+®ôv`d÷ÒD”øÛqÇ¡'¤‰ÎŒþ®6µx<º±óÒ “”q>*ž)°+õk’´Ì­SvƒÔàØKž“6æJíÝPvI»Ù,úòt2¶è*-HÍøˆÖ úD¶ÿýÛ àDUÔ•2™vBHšµ­“Œ„} ÇchÌÈ >"¸¿Ž¡tØØA!Ô¶íLä¨ú‚[8FÅ‘ÅÀ¥@~C+•¡&6E®ÿ§ضD1pë‚RhÂ;O~WÇUx&õT`ë”øŠ“ŸÆÊ7#‚J¥´›–Ì[BÆÑYÙ€°¡uU’à-¾yZMJMÓP¯aå=P¡?§².ë+Í »í$\ŠÜ`/av¯›¤sXðão06ZUìšy3ñÛp°(¢q¶Õcy ¿k¬ÝÒ¯³œ/´”2‘ï¿+<_nŒXï…ÏmŒºÙƒ(DD}6º)Ò¹ÇÔ¶ö,—§µE÷G—É0ÒtãúÃVMâ&qb”7–ªÝ}À{œ%k¬ÝL\Ø骑­^|¾,[Ê3â8õ5Ó(Ú! ®’Q‡Òkü_YÂíšh#î^)pKÎv*’á~¹HZÌêZ?†á¡&­R1G¡6QñA(LÊ°g]ˆ_¹Ûc/±bôJ~|›½œKnFü†Ç©×IQYðbòIXZXT.¹D«¢¯ËÔKAZŒžjM1õm¨ÀÇòÞ"Åã¿Þw–sÐágFŒ m V‚ymj`„1Üj‚°õ*€´¶Îçûmt&”KêÇTFK ³Œö×캢ï ô:Ó.vgÃ0Ó2°†\÷©ÅËYA}"øDXrŽk·bð¶Å„Te¶×#&úÒ]ï*¢ £ÅöHnþIŠ˜”ªÉ.¿f Ýl[1ý4ʯT#|)ˆÎi…éíöþd›é7'Ê"”’6ù´aˆáZ“GÅÛGE­–¨6OJÞ îÄV ¢b*HþøJ&àð/Æ=->˜"Ö.¾Ye õ¾Ñ—€4“àùŒŽwâÉ®úCý3ý9 µ\6zþwxlîPãáã~ñàJŒe·:Û]ˆ]Ék5éHk`·s˜jøç(I;G.R•y"êÌ81×c$•ü"¸ 0Vø*ìÖ 9% í )caÇó ïâåç(S¼70jZR !ˆ«D瘩]4SÓԿ䪽aHNõÈ,N›{†:32ÙþZÄS5†aOB˜¶eŠ‹JòÁ2|¤ÕPèè7R4ÕY„)?Ù~ ¿p—9¦Æ΋ÊÁSk˨…æ…?†Œ„Uà3Fô(é=Ê*ey0)E$°È3¶ÙÃ0°€G4¹åFL#TN¾êPÖ²!o;i”•É}ש߈·³âlc×õ^˜º\æaŸ:­åÀ¢’Ç(è¸k|X«Y7ôØ}ƺ>8çåES"Ÿ¾E%?1„Xs퀸@bTU§¥æjA·¹êQaÔWcdþ€ØWVÓI&ÐËÜNGÆ–fÖ@õ‹|÷7½kyifJær\‹²ç¤··À`’áàØ &άUû½Ýô#GB“]5¯áò™ƒ›ä·ë+hI®”oøXÒÅs¼RÑñú}@ßvˆGñü®Ž©ÙÚ}B{¨%¯zSAÔÖÿ²ç‚ì2¶|¶Ø2iæo¤ÚYaXü۟媴¯4§‰³I¾Jûª?1 ݹ#õ_EýóOíq:ûļwÕ.Ž¹r¹ÐÉL”Fø¤¦hV¡ŸC£æwG0Ö¯!tE…Ílf|Ôtn·”œÍhÚgâ@mÛ¤ ¤˜IÄR—Ûv8ìæÒ‚ŒwdIÅÆÿ&\Õè~éÕ·¶ÎGÉ\é…øõœ6”Å°T1QêªG“t@uäsäEƒÿuHjò¢Óù  B 賎.·_{FˆéCDŒ0=çË‚næD$Üã…Ï¡iX‚òI}>§»>`;Këé^íá\³ÖC†ÓÕj8U_à(¨\cè:úê~þð’?”ŸV=´Hb/c$Ä@Ç<¹?Õ£ÑÓñ¦ËuÕÆW˜Åƒ:UdBfuÙ«ÍXå1øÿX»ÏÓv‡ßÇIf>œ(ŽYç0_I¥°Éë “ŸÎµïäâ"üÛûž˜f˜q‡)†¬ù¤¿æ Ù±¼XéL¸¯ºa¢ø0ŽèX8œæT¾.UÛ óȶ‚ü' è7¿Écˆ„K—u­ÇÞTz'Fžø'd;‡—~«‡û€¼]Ìîé="øf·«ÚŸEïGtÏŒwx*GÒêï`OüYª*þÖ¿ñY>ÅNqÀAëpkµÈýi·"U-n¿W«…Mž`7”ZêWÆ~ü4lïôVƒ\ÒxCýçÅqˆ{Dæo?\•Í$¾åóôW-Ç· ^1Ú|7QgM¢³ÜÏ›ñåM=좗à‚oÊ%­ÃhI¼¨Í<Ú6¾º¨Á­ßI¼Ô…­Þ©ðê`ëM>ıÆ%gÙ„~‘Ä®ê©Ð–nå힌—óXb/>·•-»²·‡ÝÎå¯gZ}LúÅ‹ÔÇ.,5næÂ#-òs™±»ßc(%“uñu.?a²—ð#c¸³fÌQ)È"_QI¶DÅ%РĨÿä!9ÈN¨û·s¡£Ò¼hÐq,ŸnË 0iÓ§Èp|ÛGnÁ=Ç÷ÏK|ÆÇroUžF±¬œà)üÐ A¡à厡èa~ Ã)Gu;Y¢HQKËz ’[뛈êÍûIoOt{¾òvû9äD•SW òü<Ú•6úfü…~ÈNŠist“4à]¾ÚÉ„eÞËxQÈ»IxfÖ£0&ôïî¡[¥ýhg +ïÆ¡ÍCßÆïG{ʧô«_ª­±’SÚö½Î€°&l€Uª7"zlg¼Å”›^/¢/Jñ]œ÷¯G)vøOZîïOüŸŸ2¼¼ðȽ†%­OÇ-|ÐÒZ\ÏÒÐÕ_3¦‹‘iøÓt&ô}EcmMc¤ŸyæõÊôjŒ¼H »’çyð<ëzÈœ–ëkm{')Ï[LFŒê€Ý®“!Íå¥Í¤Mêº[ËSÑÿ•/°µñ>.s…¬RRŽÓô¥ÉJ% ÿ rƒ‘ºßíƒMI½²ùhdî&Y |kfs¤]³]-ɧ6¤¦t£‘ qÑxÕ´ÛÓÀT^w„³¥è/†öiHð?‘¦ÀKÔ²i½×α2ý‰6,ÃAúœkˆ/™ÑTcWÀ—zaªüb¯ ên-Ó‡Ó럛ü~ )|-á¼Ç¥Ìµòà_|UÇš›zêÏ#f ìTi@ͱÔq´:¿6«YZä¤KœÕ¯‹~ñ$òna%ê>sz¸²tÞm¹uƒ¼—‰ŠÞFb{lÚJ-Uq>1ç}³o¼\Ò§Óê)­ SšÂrNc¨ùöKúL#|*-jƒÒ6’4æYJDqÓIi£×c£† ƒdšŠ„ãHWý iæ(–J>I›d¢s@þ ¸_¥ö²–ñ²Ä´1Œ¨U4®IOn ÄVv¬âÀ—OÓò¡ÊŒBãs/k°S‡9®°(_Ð×d©öÃÁÐé`²©âegÑKâÝv#êй‘$)üƒÑdÏ>ûjC÷`ʤåÄÌPÛ¯,þ¢„ô\íˆ.Zèsï SI­jI¿Ø-wÞšbw|šü«ÍrÚ?àoöi ·2bÔ EvMÏR›iºçÈJè³7Ñzl¬ q¡E¹8_MÑLÀzìÁ_#': ™h5ªN¶ã†ìH¹Åy!‰{ ¡ùx°t¥=,ð—Ýèe­uµŸká†Ð*K9Ì‘uF2¢²¼Ä ‘o:nD'õZÁUüM p3™Š)C'j2´)ÁSh”¦7D›’)Á“µm˜Š ¼ÂqpvU‘T0 na8=”÷»Ágü<-Cå´;)ZÀ±QÇÜú©8ïá4_áã¹5aO_ª¦§IÆÄVcš/^ëmR§õ7+MxcëñÍ؃´I¶>µž2‰.þ/B‡/v4D~œ»<ÈYŒSÙd ¯BZzί2þI¹–¨t¯Kœ]¡bÓ$Í6òŸè©H1 ƒþ~ÚÀQóÓ}kQå]´ÈŒ¯šKÚšÝ1ž¡Av ²r]2m†¦ºÌ ¾húœÈ@ÒzÛ‹iIm8Ï•ñÝë6P† ËN}µKýP2| ÂCMï¬Tg4‹N‹q'}Iz:á° x4hþXŠ«MM#,FŹ¦…-m[œc+«6†ùl…•±í´ L¢_AS ºr¢ø—jÞµ0÷æ廢í²,¯°´˜ÍÄöòº;Ÿ,ƒä‹ éèIF†ïmN:@£f&¿·ÝÙ©ЊžŸv§"mkdfSáö§í™VIÔCß©²ê«ž™b !Öf“¡ª`2 ¤æã}~A§Gr¾!¤-®"[Ý‹Òrdøøg³hó „\Á™º&›v@Ï[,;¸ E§p8G-µ¾@@ëÆûxÚ:h;Øi¬œâ@x@;«qY‘GÍÐ0^ú¦Cæ4‹Ùž‰BÈ* ÅÄ&g¥7j¥9UÓ@lÀ¯ßc_2æ ’4]ÍHéXá·3Oø¤ðÀˆy:§—¢ë:zÖ7…ÀŒ¬¨…‚’ç`¦ªŒ)¦ÅùbiÏGɧZGJ8.v»¶› ¾‡iÊé,PãFhpÂKÉ›E²¬:–¿H2€{9—©74&¤ )¸F{ -³ -ű!TäTO’²¼·q\nO”g¾›ÙÚÔRï%)iò-Ê7!`¸-š®µ’çn´é}Ǥ|L¢ñW Õ é›äŒý¢á¸C\?Ы0È¥kÕ9’o]År1(z/¶*F-2{ !L‘8d®6¹ë£e¤§Ì-iÁìÂľ`Ùtj‹#,tß3mHÝ@Ž}߆^¦q!Þ?ѽí;jE#.ýÏ¡sƒ2% i›IKdNöάÒ1½OiõBƒ²«’ß~Æ¢±½øðª?„9)Ï*…!öf€muŠ(EzÓ1¡ÑËHÇ*ã>k»ÇŸšr6ãâ±Ü¨“Ș_ôà6h'öL$ÄmõmŽ—ÕtÒG¼ÌîÛ¹ªré(‘:44(aëÎÑ‹I“[¡ ( «q"\ƒp‚2½&äÞq§L½ÝŠžRffsOOÃú›Þñ‡(»e+3Ìj–ÞìÅ0•.‹cÐ5÷ûz/ËÖþ`d¤ëZ¿4Òéï0—‡ž·)ë“ÖÚÈãÈÛ¡TG~ңȺ|5`RspÐ }V 5gU)–q/£>Î œùdªû—½àçLÂ%ûcÛ…¥ïn/Õ™Òä7'©ÄÂÍ\43P‚[TSÞˆ¾›@%8Ææ1éŒæ¡¨™üK@"Ü„Gºq÷h¼ ‚þË#VæcÞõ-Ü8§…¬æ,|ÛÈ'÷©HoI-Js9 „ˆB&Uk†é»_Ñ0‚4êx*L71úŸÑ¦vGxuJªÏPöšFáßÆ÷+Þ!íwhc|Žtš¨_Ù_% ¤ªòé=>„m(1ŒÝ÷VÕ$» ÇJÚæN—üˆ¯Ù¤¼¢CsÑ«AØ£Ú¦{/£^ÌUGÛoʱ\?p®ÉíÃfø+B Ý2,H9 ÑPZðЃl*Õ}3-–:4" ›à—D÷MepSÝbl†›Z]¦ðANá÷5çUpšâãÒeǶ㋈11íÎQ؃+ã€ãX.áSÚcìYmƸåȱ;ŠU€  XÖ+™[Óãïo`d:‹Þ6Ëá„zcÜÏ1[ŸüÞH#ü_«ÓôT?C…ƒ0쮜>1gý$j4N±h¤'"1gWôw9ÅO)‡þç؆Äi©D{fˆ+ŒfJ%!Y˵ÀnT¥0cN@WÓ$p2ªŒÉŸø û¹MÑÕNh­éùÛЄâ®1…ï•Ùš°Þ§WÚˆíç‘îf@ùÍk‘º{=ÈÞMÌÙoî‰ód¸˜|¦Çé{ÿRŠ^i¤yÔjÔLóClô¶t¡É€ò²#%?æºTç)§§ŸÀ”Y_äÙJNƒ‘ÜÀ‘ö,¼àÛRÎaAµ &¸™KÁŸâe/’qu³fC-šc5¬Íi¤páo^|ìnÔ,&“|žK_™…s¢)9U%M$™îý\x¤aY¦Ä¿ßbå ¨Ë»q¤ß=FßËsÛeÙçQvhF gðº;D‘3˜ë2+¶kþwA÷ÙÒv©–=¥¹ÒLc ¥“Ð2?¹ü‚Àòô̶“«õ¶4P¾ W•'ßnö j®¿,ò8çâ å|àüCQ4ˆç­Ò‡þ v‰±¨eòb@K=lÊò²yŒ2_–Öª3èxU#B„L « JSŽrŸAþ—s´‹ŽM–JZ¨Ìl^ü¦ø«–kpš/qƒìA°|èrª”|̪kS × 0ÐÂÐê/®u›q¶ ¼7î¿ÂÈýM&È1ûZiæsÁÙä@ÒwTˆX¹ãAðGî’²Ûé$>äŠØRêÑiÒFÏ”Œfd$n V"YDÌ7z+¶}qþ¹Þlï!³Xvbc™oü4±c6¦¦Í#€#B^ % ¡òe…ᆖH]tRÁbåïé'W;2GPÜ@8j—×^˜RjŸ•rÓí[xZc=Êä6E±Â͸i'}LÆÿÖ%³©‡W«ñûdÇEð·® Hcú¨¶‰%åXÉà/°§§:y7@3zí€?×õPÄüÜíq~ š TÎŒéåGÙ,.ïâcòËÌ:LÞÂé†ÞúŽ i?D¼ªì)/Ftr‡rÝÂØî¼Vò\ãb¢fÅ@©)ièSÒ«­ÜÂWãàKç_ϬH ¦ckŸ:?ÚP-áâ6§ª…;㟣ªø9¶Ž0?ö—ÀL3/ÞœžúpÒXõ†r{oÜ6=o)Ÿa>ëªéÅÕr1;ÍågNÓáî$Ô ºã]¯¦¦¹[¡î\>xm–j:‰ ÊÂÒégÅöŸ¾LjßÀ2£×oøOÒu¤žÓÌÁ¸½,ÀÐ1¦E±TòSj@‹XK³l¦VÝ€þh"ˆ-tQéA$o#LÚ_A´—¬^í$îfñÌLLçþ³§8s$Ìöx…|÷ÈÉ*–ôwHˆÆµ—¨(ú´{/°R\ŠÐ^J‹aÊßMoY¥Vo Å\Mi—it1/ÕPP¹@ÔŸþŽ˜Õ1 Eº„o8µWÛ¡ÜÊ^ê?òo†I¦a#3†z\úÌnGøØÒ†#/ö¥´ì w_¿KéÄé؆¹’ÄÞK/J¤ÏÒš¡\»¬É*ÒØe¾w°æg’"ÌN†îà‚i‡=“=*s.Óâìtç@‹oÊN/<ø”„Ža§HêØSÁ%t X7ÖSó øÁŒéï©Œhé!-ò]ȶ½ ¾z踼™GÄe% £’¿1)J¢–R#q„‡bIc€ã!¶ßi&7}ŒÔ qNÐÝObá¸ÛA€W󜩖“<;;/Ž;ÝÏ/÷˜êQñ¶Vcð5ÀCmJ”×oSèJÙáþíÇΨöW;£ñÚ&«8·ÉµHëj¨ÆÊ8y5š;|X ‹”ÎŽ&À ðüÛzä²V”¨_5Á„ÿý8tO@ôo7ŸjÿñÉèP³]ZÚ¸ m÷Å(Ö¦®œÚ±}SÓ$2›Óð@¡šZ Óº' ŠåØTÀÌ£9 FHÝ%Wé âTÂ1w×£¼ánè}Ã'S&&‹qwÜÕ lÈÅx–Êdgæ,• “Ðòýb?rj s@/ûTWÎ-†a&¯ÀA-Š¯6äñ0žó&Ž5ÇÂ-t7.³ 6{†ý†dt ¤Uíp'À—ùU1Uï­0xÐk NŒ$:ò>ËZRÏ4Ûjž¢ƒ˜]/»11öËÐÛÒˆºÝA²´ÿKh„ªÅŨ8™‡>—(?Õ¤šÐkû«Þÿ #Öm†¯RÖÈ%zsVù@¨'U6$ý= ºØp;l¹Ws‚ÿðUhŸRuÅC,w_­ò$ÂY˜·® à‚¡qÿß•ÜÏ$žÇODj]-¿ò×&µ°AÊTñ†S¿¹ÔhÚëÜ 9Br“Ù ž„T Ñú¹-ÍH”Ç‚Cömä`¹%ìÊ–Ð(KóZÅ ýkÚ]ýщ¥bèÝ!â‚…å yïTSm·9ûOj˜2*F‰iL–þz7J¹œoU!`mBí¶ù]ÈH¯"e¶¸ËÔà!¿õ^”°­óÀËZUS±£©Y¹Í›üMZGè‰ÌÀý®oäW^>‡*Ñ—ÿtãê$¯ I+š£|¦O¤ý0¢WZš§ ŠÓa½éØ.»l\ÛÂÐ.ÌGk,¥³Úõ™wdúÃÿ/ø5Qý¶Ï érÌ«zé+œö´ÿ¦ájJ` |êv xÿcS Ia"`&±M&¼;ñLµSÏ9>ºh_$bå—+­ê„+7¸_ÙÌkF#“ÖÀøÚµ˜ruÝ 5†ç¯BÅP„ËP3»ó–pz¥ŠÖ2×3Vè§8!=øT— èšè™ÜµØJÿjÇyhP"Îâ#ìÂBóV·%BJ±‚…éU'Ž*’oáx0Ä?ÍùäÿÊZ™¬WúYÕ»]èZoZ7¢ ªié±àÐÀù‡Àû$(Ä]Ø@ÞæƒbwFÿ®N…ÿì¤{. I™òÿ‰%Å6mt¢ýë 7þÍ^<9}PP×éq™6¤ n9ü=½ÄF!¸, Ííëµ0¯wÆ)\öæ|’ÄÂuLQ†óà§b¿ÖMCfî ~Ú§žæO|üÝlîˆ`2ß²Ç#ŸÐu‡Ñ­¿ù@Z¶ ÂÌšaMï)ÝáôÈ6é,éûFú €ùßÒhš–¶û§xàd§øgÔ1£|¸vBû —`ßð>7D>µz¥Iå¬AÒzë¥Ýæþ˶ì¦Ø„ŒÇÁ‡ýK—ÂÇÝUÒ–‹¡^M‘R]MÃÎáÀe7*5nM[ú{Ú˜i>Ò»Ü'K¥0lŠ“n&ÉHGiÛpX¥Ê±Òô(¦ =¦«QÂ"Ïëºé âõ¼óÈu'£fí$uø« qãÖÝryfí()ŽAÕÀº‹Gm ˆ^âsì+ØMMAÏnúñöBó±B„N±´mÓ-i¦&’^`Îp”ÌpB(ƒ\½®–!qº¶¢•ç­­(¾5éÎ'È»YX®‡Ñ·ÿíþdIÍ ™v5¢t]êÍ[;:׳j©‘¨ÓÆ@Èÿ7¶¯í9OÏHÁœÁ9>œÐîøa1¥oå¢å²,úólÆó g)|(=¾èd˜Ð岘.Ô¨–g§iƒÉ'½Òm Z=‘õñôP–6­vÁ mçª1»³ïÂÔ87„MŽJÜ‹éÛSÓ’AwŠWÛ-š¾„éBÓ\«íþ’ڕѤe”EÇ:ÖS¸ÄØ,$-­ùã†^CTçUzãG®z°âúføa¨}Ùï‘.ï›A²Z>Û§[Š6Ì+8,Ó 3Ä®‘Ô™ µ|(q‰ai•ä†ßÚ7£b¨àgMè~oà1¢}JD;Žd³uÏþ é ÃÀ#è»h²0XÆx‹RuYä]\—¡( 0 Ý`KöØ.%r'‘I¸Šù4¶€)­nSc–œw´Kòß•‡ ú†™ˆãE)/`Ñ|3¹r£ Q8¢¹?ÉØÔ*íéüjþ$Ux_igÓ§Ë ŠwºêâÞ<úwnáo¤Šµ.æÈÕõ Ó"„ =d^UÄÀ<¥‰ÊÌæ*xÌ%"`†,;Dßà W†n‰û,ªyn$)MêCÛü$LÈ€‹–Ùgé1õ{#M¹@Œ'­žB13äëV9ÞêóÒèômTôŠbR)¯†FÐæ¥-¿‰¢Ç´Ë@¥BŽˆž÷ ißEK0ƒ#ÆËýýÚšÈû¥Ã*5dz"Ec¿BÌbñ­jц˸̪ ó¿îà…>×  ZÄéssŸ­šã„M4ê_éñòãȵˆH¯è¦€¥§ñºÀÓ4ØÛBr¨uÛp…^%z·—fÌ«Nt*Zßä5Y.²$o‚¯Ù•s„‹±\ˆ‚Åx>M[‚¶‹Ä·ÌîŒz |çAR ~Ĺ4|¸o9]•ô¼]Å”téc5+^k”ØËî‡ÑþrÓ­×jž•°B_iæ5Ëý‰›A’nëΑÓ嶩NüŸ¦,Æ–ŽZ=Ì8õß ®}‚:Úï;±ÿ'IçìòÇ\ËÚA&–´(¿áåÌ‚Ì.Ý0eÞ“"ŽÀnÁ”¹„ûërEnÜ=R#Äùu•Ôž[¶ýÕ¶íõ‚ × öñ½b´à¥ùÜŽvD;1j²‚E´Æ"?Á¨£x3Ý3~Ta/F­ç ‡Ç–¼­Qþ…¡š¶éºvQBûP‹§íΘ^^¿sÞ¯ íYŸ©Ô]Ýã®ÚË8L·®¡–2ëaÜ!©«ú­»Að¢ÔE}kÏ„1)À‘>몳)˜¶ùÐUÿqbpÚ| =>MUÿI¯ÓMñ¼ƒ»£‰ßßen–ÔÈëNÈÙØð‡Î¸¦stjª¸µrhêpí7cîg\å‰+ïßšðm¹#™8«RS”¸â[Ž•%ûØY~„égÚ‰’Jk^rbG"âðã˜dŸÜð†ƒ4"4¥g]ïUñb¨óÖóÕg[cBY Ÿ‚¾Ôz ¢>]üôâÅ Ò‚_–vÔÌBÿü:6ø/H雨vN-ϲ(r<]æÚ>æ9°DŒo<ÆÆ´D tˆ ä]£ò·<ËÞ‹Ï ‚-áø#šgù°Ö ºZño}¡-Zj(Nu&O†\¢4Ç?¿ >/¶¡ÁºXÒ¯QH……èó}˜ï ,{N^}#4I#Y}k¦b¬7SV|Â6ç"Œö͹˜ïZú Ëìi ŠKKžº­|Žy÷¥;w/øAEj˜µ|7{ì<ûÖ¬´=ê‚!5œLM+÷u"Ï_Ð~èqðç°Ø]€æ¸.^ü_«kú)¾fØf×ϾTZÕFH»i°#Dån©mßbÚ¬Ý!óßql¢ÈiqœZ»§HB­Gú#‹”y“Ûí‘Š¦¼­øX‹]X»”[ž«2"÷?; ƒŠ”N[j&Ý´›i¶$ªqÕÍ’_ Vï«‘I=4‹4¢þg6dP¯3€ú¹£H6å~HﲞŠIP‰ Š:}Aз~˜€!°Õ‘ð²%¸«Ë¥ã›ìç½5÷ŽÂû@ÂØÑðŒ¾ŽC%ïCê,žþud«q‹bwí%0å¤C8Ž ®1è‰â{u͔ǺNX×{"¶·*ZÔ7„ñIrO]ëQÈÍopcÆ×zPLýá¬LIÕä-Wº—ˆyÚ P!ªQ×´"÷Ôã?ˆÈ"ùˆ¹ÃÜìÅž9ñ‡†‡t$F?6U~vGa£F©É•…•ä¨¤néH%aË©0=Œ=ÐC¼;Ùf…켶#CºnÊUÞ7)‘vû‰Ñ¥ûvÓ) ‹âï › §éZˆÃšö#•n²´ ئªâUïÕÑxy‰!#¨‰øø\zÜ.í£†[5ŽöþR™Y¸]¤+XéyÿO‘èþI¯4•J–æå#ĶŠeÓa«e7Y²°K.8#?Ñ‹ñK„Ï1ìãWý‹BD_­Ø&ô$¦¾º (Ô‘ÓIIžû,íÃæQìoO§ÑM¸`JfÅ£ŸŽŠ=²-6„æ®—Frlò-Ž´s€‚]L¥¤ýk±­kD7W#ù¦ê8(p@kÈTl3‰ö<†aöb93$%s9‹{/Ÿ…°¸uÆ ïDA¡¶OŠxX¼~ô—¾¨Ò—,f÷#Sp§¢Z®­Äí×SÙY.ÎaÃ)F˜+©»F>lð‰q“I¾_ŒÞp¨,ÓÐ\(:!í©ŠßÿªèqñãÓ}Òƒ/üõ;[.DÕZˆsYÎ3µÄbÝ^TŒ*.¿8Àg-Þ$1>cGº«þèM··ý‡?¤ ûîÏÿ~øç?Ë'`X¤;d;´]µ¾Ý¿÷ÙO_ˆ9YÕðÐ '*ÕKo‡F¯;Rj·ŸÌ$yÁ\,-~ïîâ×â@bÕ ™ÆÝ`‚ý§ Êÿð‘ÓÀzÄ$~B ZÙŽb¿]GãWi3–Fô^ÄTd`Šâ:±s§&¥iÝ®a òïÚ€(»I:4[Ixû5]ð‡®…ÑTÙt¶hºº85e?)ÿÊ7;Vô˜ùû%—¾9œLH IØö <†ÁÎÏ.‚ÞÅ¢O‚Vbú0Ž=;Âöå²O»þ«üZ4ØGÈ̈^9û´N!3£S Ðéé$Ùü|·?v¹ÃT†ä”O ìä<¥ 7’ñ&ßpID€ùŠ·l[­§n•Ï–.þÁ“ÊË>³­ÿþ>eéqït”hüw‘uF8d*.m¸V$X¸Ž#.©ñSVöwA›ÇÔíTš9íŽË¶øÉ–ŠïO>ÌKÚ™`*b¿ƒ¸ò|NÝùN¤ö^w 2%J‹€QL æ^tIôµ(ÃÔŸºÞF Mg±N ÝÎш‰Ïªiñz ãøâo:´ßk'²M'sË‹ÀééÁ‰9í›89 wž¬â4¿éЕ`Ú+ŒgZ¼•fˆu>FpÝ<Ï”wQ­˜Áh¹î[ƒ½“¾« !‰Ù¹7"ú,X"ûû‘'שR¿4€¬\A]ãí¼ù3¯p0"q‰–k °%Ј{ø*k÷ßöÒi&±Õ7®ÕDôqÁÙ O }Ä/cMœ[}KB÷=Aä¶èa¤-, Úˆà‘.yg]¹ ‹*?|Lg<\fµy !âHä¾ʨ†HÑ>†©Û,—ÄÉÀî÷,ÍóÞð"º¨ ù‚ѦuÉó,äjNò—_ºÂÔLæ:ëµNûêªo$c¯®´æþÁ…^à %uÛŠ}»öquéµò¬kNpÀõFÄiÙÕ‘Ô]݈=!1Oe™’©Ücí|‰FÿvŽ‹$¸üjØF#%bíë|à=(YÎKHã…¯n;P¤Mæ/òÌ•KPƒe)Í#AôR º2ý;?tÕ¸”Ýp–dôHÚUgÕDDË_Ab7'w ]™§¢š=ŽŸ«…iÆ€^iÀ1ˆžÁhÅu­2s¬kõÓ££^-Xs×<ƒ˜0¦Ö<Ž„í-9b™p(¶ó–+-'íu×ÂÇ'uù4“ýïw h8µÖ/Ü¿}eKõ»ø¥Ò¾ŒÃ{®Ð´Ve\b¨¼ày,˜Â]/‚ùh¶ U’îâïøYž‹<[/:-Üvù1úÉ…#äÞ|¼àj ŽÖ3aùèÚ0þÓ~X©¿Þ{rq^Óî¨9/ÞÓb8CRÕ9”uÓ¯·kû¼©(¡ jÚ1F_ÂQǵ³kÿE‘ôèøÑÛGoÅËôµŠx±ÅîQÓ+¨Šƒ3UŸÆ•ÍžFË÷-&ÕI†¬«$¤Kr°0ý0ôõ¡ËtÝb¬ºSêÅ6NòNîZ“¯ð——]k /Íá}’"&€“ƒu>p–i1-1÷‘N¡wÈÙ‹·¨Š¦Ö"ø^.3–Ä{ÙÁ™d0T;û4Ìsïß5H`Ü·gƒhK\ëáw1Ìôæ>´".ºªG™•seÃ4Œí @+—›ûЗ춯:ê¥^ÞÏô%\kêLx+v«;,S;´rŒ8{¾û°s Eoeb;·3EáƒÑ2¾}RÊÚ6×r€âÒû¾}Ü„‰ë-v)W ®FLÝ·BÃCS«,Îö4ɹïQô’ êâ ržÓëNoñˆkþ]® *…°°ÔŽ =³ƒî™Å]Þ*SÊ â˜ d 6:[ £Xp¡öà¡-m+¸GíÐÒ¦fŸ˜ìÐäÄŸµ•èz:r›¾Ä”s„›r‘kÔ+§)§‹”šô1† lù÷]üÍ1F¶hè (­)ÍihPèïâÿÇ óV í‡Yò’åªÙ3‰¡‰?‰æîE´C÷HUÓ(áåð¸ã !a Ùàc”u‘KÔU=zlJ-3Q<Ü~¬Ð¦lñ.z ùn+¾%ÊZ^ª—ÌDÍ@Úò i¨ÍBµ1iÞ ƒ}i &%Pé2xeª+@E>NÈ2­+`ظâïÒ;rËÉ`táæÕ?*ÜbaÃ…y“ì×k.þÛD[E~Ø[ÆòÃEÿáÝ …‘ªäÞÇä/b× .­@ô~xQ· û³½•Ž~Û_BÐÏ5ÿ´f8ñ'½&0<ãª'’œƒÑEó¨8²¡”À¯uv£—ô¥,WŠËçdãe¨Ï¹¼ûHDjЗdbTýýÿÈ%M'b-½=ë{ñ$ÎŽ¨8óF¤ÕÙ²v´Åæy+â2Ip g¡AÐWœv6Ä®_çÅ®w§ÖUH°Õ< ÎôÛÀÒT^!b&§4Á…F2ÊVîþ.³p_FOdÀš쌮«Aœ¨*M©ÀiÍ¢=L7OÎøTëö®x ~¾I´¶û&H-Jnô¹ªºIO$øjDšäÜ"`$´Y q@/*dé™±˜»ÜUÈlD”0WY’ÍjˤV²L²Û  µ^UÉýË ‡·Z§/VœH&´á0&ó’ÄÒŒžåOzÒÕ1ÙèèC±6×mwLŸð»q‡1Ú_å¤;|A_Â[Çø˜šç¨ÁÀÉåN㦠ãdÚóÕo9)tåsuf‹ÒC,ó̉dÈFP†ÚÆÙ,^i5÷%ß’' i #r¦é*DÉüsìwŒÞßUw¤A?uŸ~¤éÛ Iw§A%Èqƒ€Thع&ñF§½øD3_‹ „„æœÀýô)#MÒ#çi)waÓp¾ÁéùâÅßs"þ ;Ö_llä¿èxQ[šXÛ÷±º6÷dÁ‡t©¸_ËŸs¶GÙÉ}M [#V%Îw|Ú•3“|äÓw8¶ƒ¥•Û¦U¥H]Úprdh©JØMÅ·¬p¶l‹Gø£hÔBù“¼ï0ˆiŠá¦CŠ–œ§>‡jR?‹1W=û˜^ˆ;nù ¥'OŒBÞ¤x/kLíPA‹lcxc*i27ÒbC:|0^Âß ¨=êŽiÌʾëÏGÛµ á`y›Ÿ¨NËn]a|$ŠKoDD<Û ‡âMÑ+95"·çš5œ"©…~š:G?t¸ w”R¬yôx)ì&èïxl´­f°´¿jl5–ÝÆbšÍU·PO…r7ø¸âžeËVj¬3]쎣ƻáô!=öß݃™ÕÇ|!–Âù7 ò~0³Ùn%ÿŽ³ÿ5}„§¢#î Á~¬f¾­ÙwD ¡{<Ñ%W€3Çö<&…»Gc·jrOAË!a´é¥gÔcî¯ð¤©Àý€‹›ÏëD³˜ybÉÓ¸Kû‚Ñ7í zódËvgQ%tÓ·yèbHj¡yüDÕç*Áx’Þ-ín]Á‡xWNÙ±µÇÚÕÎ0^8oõl ÛŒÎóS­3~bǺ•t¾=WË3Mû§˜SÐÃ(S˜V,}N6ê°íí¨FLC2Z@% ŒšÍ, (5ºÆ’¶®[f¦Xt!êÓ=‡­Ò8žk)ú ‡ŸiÐ9õðu†ç(hü°8¥=C0¤|É’º¸B 6}“Š‰Åaþ«Ð¨fvƒ¡åÔåÑö Ò‘˜b¸ŠäÌW)t¶2ˆ1¥õókõrlÂE‘0„óñâ’|-âüh•dV“¼E¯\WFThcÜz¢jîÜP¡u¥Fa~¬TˆauB? ÂM*˜ˆ0Ñ&ºý1ŠÇ›,©Ç‹þ.È'E"²ý1l 3ê·˜3p·±éÉM?Ù¦µ—3[䪜—KÔ7„¡gÆY‰º…åó‹2õ’Û!C‘3гºÊ,… ÊÔ­ã]Ö¿Üt [Ê• ˜¥OÛr¡¥¼j»Ôf£!X '!Oˆ­L¥çÏ¥]ýfaMâï3¦IÜëaˆÛÚÍQ™7€ИY²;_Œ àÜü¦—ZŒª_BØ_K)R¢‚òvÇ{ÖN/ÚL^aq>T ”‚ï“8xôÃv±}Œl™‘çžoñÑë¾­µQDçqhÑ<1`Í\áå™T=E«ãfDh!‰·îò{DâÇ–ò=f6GW¼R§².²x¢©3yôAÙ™WÂ=×½©=‰Îуi­ù è¨À&Ó~}³üb½ Í FXÐ $sØ+A ‰;™±¢‡¦‘ñáÏ¿a`ÌÁ,èŠ]¥Ôf"a½?.$¡SÂCSæ—±‰[7šà?ºÜãr¦ò:&jèÑÒ¨ZipÜb9-!&$º|]ÍŽŽ:æ,®;ÔÑpô·øµ©i–YkÆmÏt9‹#þŽkÖx÷Iíù©¥VÂËA¡ Ýq›ÞàEªÅ;t@S’¿ ’9ÝvÃ5k_¯RZ§¡U£»Ò¹ròû µ@ØåÜ“#¾»Ñúá‹Áª-N‘ëGcËÍ^ø·n›ÃÇi*î?ô{½¬ž a­±Ï ãè_Ñ€&o6¹qì³E.ÀƒÒ XÉN_žo¢ÞÇcúDÕÆÒj îü„ᦔ¿Õs¹‹¹&dÀ™½s+Â9WlsIfúËoƒebØèÄÒò(û=kíÂáÜÆ}·n9„“9/ù˜~+ÏâW‡¤Ë®:C}8Q£;âïbx‘€WžÛV.ˆ/_²Q–d¾(Ü›aÜDðhÀ€û­'âùîßÿôÝïn"n`DøcÜ òë4Ûä%’ïŒËƒù8阼¢¦§êõŽg\½Ží†»Ñ@z“›¼VÍP“^BC¯zoåLÏ $‚·Ú„Ø»,P¤Ws¶G1̼T·YŽyil[WªÅó±‹V˜zfs5Ò˜ëâÔÓ¡5§XŽìyÊéÙ:1éîFÇ<ê΢ÔðÊâ@×[1“Â+öå°u§vÑÉwµ—$¶†,\¸¨M»ù ½¼Šs&jrÖ¦M‚ö?ãv•°8DÊ¿¤¡¾Öã?¨f&Yf=ü2¹ÓJrAÜî!„}¢6úŠÖÉRú¦\W®2@šÙ2AyÔžéÚ.n)ÒŽ>ã”à3Ñ,*6ü°º5¹_…û®¤I®m<屢ÉÏ£¯nq;š!¶ß–Ü:‚ÕÄKó?ø@#›g±<ºÄ %ÛÄ=2)Â9¢­pBgüŽ°iŒô"Z‹Çl Y.ô¶0ôu˜‚ùe —ÏüQðØšê®ÅÝÚÄ0 Ú;%o²´°òì2)jÂGs'HI§"œÞC“pg9qjƒŸÍa¢e£6&‹j$©KxÐÕÃa‡l2èjèZò¾À‹k#C˜ùE´Lh/ŠËÖ•BûšÌdïàd?¡¹Î40{é•FÌâ¿>‰Z˜´jnöǬ¥F3:×q‚Æ’Vt`Bçóßk°³Òàsnà3æöUÓû,R£*¯ } Ì|VÌ»‘³© Çfü4Cú3TMÚ •v.áðYdp¿‰cx“ì¶ÿpu!®âî>×Y,h35@[h&Î¥f1‹öŽ+ŸZXTl{ÑFFÛR{è[WPPÞi5—:„»ZZ»#Ñ ˆñi]L>ø3ðÆ&™Ê›¼T46h·Öÿþw½“M¼¤ªiŸZõLs- ØÃe‡áVt#8 N…C;Jd¶Æbyꔸí?ýÙËî÷2PÔÈN„0‹ÛC‹ ‹ESj%IRcóŸl‡nø™¢'a”¹°ìl~ƒQ:ñú]¦EY³àZä)ã"z˜úä•YÈÇA[³i:[$RøCµ+̯…B16A$âe‡ÌD^<Ý[Ù²ò+F$4¾ûß¿ÏpAøΫiŒŒÄÄ1á2½Û’GÍ‹{?Õ2÷x‹Ú"‘ê9~'‡(Õ°L)®Çl[%jÝUd`î*r-"™+þoEX%6¶çQ¿+¶UC±• dN‹Û¹aÍÿ n€ƒÈ“©ÕzÞ e²?ïÏÇWz%t^@ÊÒv‡Ô…ú}?‚¾–R.ˆ8â wÍ}³ß®4ãy »(©>,ý÷ìÛ)ÛcC‘¤]tg\“~ÿÒ‹Lz„tÔ…™SGÏY;EÚÛR…–öõJgnFÞôaL–ùÕj³ÚÍ®/*š‘;QâîÎJÓç´E Ìo¬à´›}Kóa’Þ~o¥ÝkT)?ž÷½ðÕJƒ·vêÀdçûùj+.™J¯°ýè‰P>Ke©–«':& ”DîÂ&Aù¦ŸY~½ÒäDÓ47æB3•ä¤?ühÛ·šŒŸ\Ë…®ÞÂOˆW¥qm?þÆŠeÏúü>±Ö¥Í8jª·}UŽö,nbóMMÞÌM7+ž¨¸ ºM)¬Â°éæNPgC~¹ÉãtCÀœá}NÔ¸ÈÍa>‰ÚJhƒœy(ÕF2q­Zw/®K FÉ`yº%%å’K(˜ô¡êB`tØ•]f¸í:©Oœ–‘t+?¾Ù»üPê÷̸%e2;•/Nß *«¤Æ˜Šíé°ˆÄJ—W=lkceçu94rF«ZKæœilºœ$ò¶ƒ9^ {_Ú é/!ñàtà¸Mâ2½æÐCEaKG¹Ú¶óùŒŠmêÇ|(ŠWQÕTsl-XØ­ÛI¿'" DPâ­ÕßDáµ^ÈþèVì|dí¬É›§Ëá¦.TZÕÁ€ÑKÛdØýáÁ©i?z›â:|*nïoØã³a¿é\£í…ÌL™™Y¸jçÑä󼔑måÇ7ûc·di: ›‰ÌÒ> ¸qïJÑ“Ù\Qr.GïßHû‡I“Òáhwž|Þë 3Õ"t`€i[ ¶õ àWtÚ…)v[Ð!›„`ú‹•Vû¨2—˜B±ª£ñ+>D pk§ ¤»Ä„ZŸÙòT<6Zñv\™Rw¦q­Ç©úNçAìE-·ä×¹…)]ÜLD" €äœÐ0u¶I])8ê  ÎïÐm†ê÷qÃ\Ç Þ`/ÊL´ø¯rOùsÞ¬’öõdlRûñµ ­MjV¦=¬ûº¡“X-|¾ÊG‘­ˆ`ŒÅ€›B®6ã}+•¥€«½0ê@[ÊíU#Ë\ò@# ~TD‹Étõ[AàM®™mÌ _/gódC{µEëÝCš4N#˜4¾ð¨ïÚhgZÛ3.ûýJNF hâÙ†pP?"¥ ý”4mØU†µÂ"ƒÁת°Xe‡kû½‡!}è–0(Gùº¾…‰mO€Å£?ÉÆP >dC ¦•mÕµvVé´íh{b’$žÊ™aNÊeaâaIÇ1·5ŠPê$gƒT£¼Ô#Ц03ð¦u‘Ãò»ªÚD©è!ÔjyÄ·¥ää̬${T :9±Ñƒ·é1ÄÖ:Dî— œ'ë¶+}þ7ˆ®‚É%ó&½1zG±h‡¿±y¾.^sx½ôÚ²O«²kýŒ²Å¨-þ€xÔÖL»Â–¼§y–œ—j¬Ò>B,õ1_VNŠ„7¤äÚZˆžÄ¥)Ë5qpu´¼J8)+í`M¢ªÇÙä ¶$æM'mT±;¤·L`zœ/Ê¿{Vë1ªL½Õé,¿¶Òð¹s'õ->_mÁÖ;­34ɇLˆˆjõ»ßËÇò§û>oÓ.{DÆ!3Ÿ·)þ ïË ‚!J“¨s™XMêüaRúPˆ2IÖÝQšq/€MHF²‡Íj–þW¼î“D3ÌŽUE:è^ÙöÊÀo÷bÒ:Î}ÊU¿à@,~ƒYfª³uÆ&áHŸH‚öpè8T#ù駀ø„qu´2‹ÔH³åe+6›NÚÚ%D·þ5‡£ Åq̧ÚöCQykWÒ×ï2^JKŸq´S_åã½Zëó´É¾ {¥ãçÝÞMåS•\¶íÈæá$xáÙÒˆ{DŽþTìjë7ÕJ1& ®ªÄæË]ñ¸«OUZ¢í ¤OèZD²-‚íæe¶þCÜò_ƒà 8ÀPò=ˆÅ,¢c”¿a­•Ó¦cÎAKI¹„—E/¯xm߉7Q5Óàÿ§ýÀzL£vNãã»ý^ÏUB|0÷v3—t+Wp|¢h®áLs8Ês"ú&æ;1ê ?T˜,EÕŽ¹¤o<¡Þ‘ôs…ŒUÒFÆEyËÏžåÓâ=‡/ž£Ô{5EŸø~ç¤éB¾­ÌL ¦¹Ñl³€aKôÌTÚ§hÌA§úô¿Šïþ½ö쇭¸8ÄóZ3 EΊxÓË„iÓ¿¤³‹ªe,{X¨± 2ák¾PÚ®¶°ª–ÒxÌ`ªvÅÃÇÓ¥x¹QBãbð·3r[ó Bäý¢^mæÎÔ²)ŽDËZ/;‰í7ÃWrÄ \Âuœâq9Âåú[Ä [Šéã2OÂÐÅXZE‘pdLÅüÀ/pl8l‘=Å^Üx9cr[‘Ò[ˆÁÒû¹LeãÇHÏTûÈ‚ ¾~ ,Ô˻厼wO’ZQ7÷¹>󑦵#'M¡[g[)õ€^¾¿Säâ pž ÆròŸ‡¨ó$5I=rÖ§¹/ n.6ØD®ÀŒOì—–±kƒYÉ>.@ æ9bBÚZ‚á6´B>9…% ;¨ÁøOšJ ¹£Lp©0*×ø€†XJãk­Kme®²’&Œ³ëŒÐØ#­*uªm°„æXÔTŽ±:DñÄ™ð#0n¿âê^Q1ÕMû2æ¿&yœo”®»ÂH°r½°¬¾ë$ôn89áÉR¬—5SϤÇRÇJŽoð1 » N¦ÎYÕÉAĵš¨cG{òOšflDÞ2å‡ì‡%ל¨ìB‰U“aïM•TŸ>pݸäø4¿‘E¨â%Í<—.³ÖjάlÑÒIô墧ÌQÅ•ÐF`Á(–vÀÍÕj(h…>éÞëÈìu…Åc“ìl ©yÅokAéPÆBˆ±™óõm–Œ”smtÔáÍ\r̳4œýFìX¢eɚ뽨ÉËl².ÿ‡¼ùn.Ì/«È†Glnw&ô< SÁÒÓ8šmSUvè¾iZb9¾-úh ˆ@’Ù‡ì-ndŽý¦C-SH¥ ¼âèن禋œUø´Zs3ˆE{?e¸·æàí·HƒqsÒž˜ÒV‚¶ÓÖ ®Ù÷rçûïÿ(ÎìPGÁàaÚo#¯e¸ŒSÛÂÁÈzÈõÙà& é­»H¶~ ¨èÆ«8F(N¡ÖpØdYÀðïJšö¿ÿu.|\ëqW8Ó½¡¾íï\[¤‹Oh7Qñ_(q†º@ÑXÍuCwâª9BèSó^Ì-ÍDÿŸ½"„Q?5H¿ U+{1 g«à‰ÒíaŸ‚c®SK~²Ëh]¾êÁ¿FÒ}@Ö1?Dè2Ïfª‰É*Ÿr‹æÂ#¼­ÖéE #*Yø)vÏÏ»˜tuÕ{5í†ã—Ìþ Ë1_º³þ§,êwx7ùvB‹”Û1ªTˆ¹¸i»V™qµâ¢­ß˜÷+¯ÂnêS 2=³åø…NLŒäÔƒ·{œ3†ÀÛ‰lÊY|@–ª`¿á¡· ž£ h3×ÂéÑÜ Ùv€â S͇‰‰mrêÎGÆ¢Êç©Ü`ÐO:°ŠÕfžœ,ûÄc>®'£± 9ztçXP&¨ÍîX ÿCŠ˜óÉ™‹ÅgyÇ‹üR RšímˆIYe1ÛŸÁüÙ oùgßËæ[àd¯Mõ ,§=ù:“µ!Þ`Ø•bf(Rf…ŽÉ¡ùA7æø¯¹L„ì/¶Óœ“’aòÝ9F6Bî;™£*q±Óÿ~‹k®EËÅ¢cxð†3ó!‚L`¸ôÞKDE÷ÓÎæ¾£á¥>QM'I:¾³K_ÌšftPª&í?Úäú{É­Ý•2äf+g>P‰µÉÍjT¬(MjFÚ ¢ô…ß8Ç,…rdQ•þ2´ø™wƒÉsC?á;ίûC.ö’‡N{IÌ®¾°°\ë¡ý„UêF„ñ¶VÇDÝùy¬é²ÞÃÂ!Ns`sšŸmõ¢gôM3þŠÀÔå…+hfC׬TP—Æ»XÇÓ®I†,Š!V®ÏP–AZDs蚇žÓÄjZQÆÁ/M9ˆ „´ì†\t´˜³kÙv£ZŽFßë®’É ÈïºÑc m¼‡C›Í¿,¢Þyæ'a‘ÜqêǼ죾¥9oG½Î8ÔòNYEûIøÀù¦H‘!éìsØehåFz&íôJ$jô‡N—òKT^m” º—oŒö:¡áCgöž›Qôþlö¢Ì@v½ÇWR,7zÉi·Œvª;=ÊZ;Ò–¹š@™-!~‡¬|fêW®ß¿¨<,¥«30a°è ·5VªÝóPwïÅô{ÇÑ ªû@{”–Þz%£ƒ<ÛÛ$vq¹t¿…YÉ9êê¶øAÃ~"oñ×,Ø9Dnm±Ð V‡\ªÌÝÔ–YûñG ¤ýº?n|¼sÒŒ]Z9¹áëÛP0y2vÔ .FãÉUþ8.…^ (~ĵ5s Çz§U³Müû¿Ø%ǯãïiñŒ«=¡ýÙx.È’ç‚3rÍA/^$ômŒùÒZOK.­ÙRè¬ué…½Hº‰/³D\ârIÝÒ\ñb˜Þ)A¯#Kðzýgw7þ·È¦ê ÍÊì/}Ó÷«¿þyh]@Å÷¿OžLº†Ócwò¤,×ëuÒTð¤)ý‹k¬€šå.—Z€ý{—V+QÖËI?VEv­+„Ÿ&‹=”=¯ÅŒ·™;ŽŽ0ƒ?Í‹2efÞH¤\ǺŽÉÁ>@¨™N‘§1Pñ†CžYíJ7??_w"øä£^¼éÀ·Ø¶3Q K’+æ}ÚL\Œ³ggþoHHõ…‹I5ÉMBr2©{O÷Vù«Š•N/±@ºÓá#©é¬SÎËÌuRœh¡Ù´ûS¼ÂÜ+òˆ›<ãäåçY\ç–4"æ7²´e×ÓÍ?äc·3ÕÎpÂê¦XFiÞRø?©S¦m:Óè©ïú<®É8]x„›=7y~3"Ll#¸ë0^…];Žwä ?VmÏ0,çFnçÆ  ËúÁfmdù·u½¬dí?9ð•7L[aÓ€«ÂŠº[û tŸ¾`×P:Rñs¦7)žÚ¿.pŽÐR½›íŠ—Øä;º9T3•žïÐ| ÉöÇyñ6ì¼û¶²‚/#̳t Lðãm œ_KTâYðVÛy©ÓN7æ|£Ï©²iYÿ³0´v[V£é&<…*gI—…{@.#÷ùÓ-Y€C‹&*vœ `ûóK„ô3¿ðÖ/k@Kh¿ùŠe¨ª‘ÍßøEf؆èi™åÃß "G—é$³ç›qýÓGÒ K€`hʪ^ @Ðí¾dˆ¦ÔÙy옸=Ã}ôAàw3Ž¥ ‘…ú~úý*ô‡U¨÷Án0´š¾A/f¨#ùVáÒ­à\CPÇÐØSá†3‘À†&Ü>ôž ìéÄ3…dkA°ÛJ ßdŒ1«’Æ&Ö–M–tÅЦ!É=>1ƒ„E„Þ®UòL•Cþ+¡Þ#$KÙ£[ËT¹ñÊ‹|ÐçÏL2eƤ¿¹ã<¦¿¡%‘3ö‡ýx©ØXÌܯM+5'pfx}.1ŸÁ—•z¿—590*]¾•5 )22ÞÉ„‡ÈÏ®:ñ+[„Š 5¯Á›U|ÿí·ßŠ¾ Ñ‘LftÞãáÄÚ2=çñ¼Ö:ýá;µÈnº/òésnÒæ!k7Â^»Ðëq4¯Ê¸Ä[7èê[àvY¹wß½£í7ÈP¡!biQ“£Ó¿"Çdâܦ¯\MÎWÙÝùm­³¿6éƒVÈ'1øG ï:!¬Ô0eׂI !½<í A°lM´©Yo’îX¼¨†}Œîe‰X ƒÚN…™!V³rO¤W®8€Iu2¬ì×Q†`:…ÀÑJ×#Ðæ$🇶e1DÕ²7µqq3¡É}ÑÄ\íÎT-?ök¾Å©®ç¨±Œyg%:4ÍHÏ4êµ4É“6«½úE·zŽ|Õçêlª³•¥oæNè7RYZr¢6ÆG_`*%ç-><׆ºNiŒC”tá"ך¤ÆSGwú5‰-u½rE°(\|EH„jéÑ´'×{<Ó‡WÁÏ{Ðx"Œ±âB÷*FùlõMÊ%xT•ôw"(¾—ý Q´ÚÐØJþ´a.²*›N¯÷¢g›f¦…½Ä*i3ÅÖ‰Þj¨³˜€v›†æòj¨/<Å[¤Yf@^ı»ÃdÕ|è0?V;{`h¯§B-v#Ñãsøþdœç ’…¤—Ñ®+9ï  ²ø[øÒÁí>³`rä Y$Ñšjàouy#h»ð¸ “>§¦2r ºÌ"`žiŒœ6騟S_’^S…õ·Nø¸ØÓäQ\S>D~E1Ý5KÄ]Ø4á{mQkä?;N hTˆ,h[ÌÀdù¾5mƇXº'ÖˆìZ†óáGòyj9Ø<Ø­4§W“1tSÛxâ†0ò6/úãâ{gÖ8$¥$-”r%4ª&òDTmBdÙm†f´s¡ïr éc¥¿m-~:íF‡ðÎ ³ezã;'ôÔ”3 u@$ˆÔÆ›àG¡ÑjƒÌ‹IÃá…s£Û: À¤6vd`¹|ì ÄŸE²›Í(?èªQÐJ¾ÎqŒ¶WLîòÙš=ç –ÇE^t&›Ñ,}$#è»}{]eÎÄu4ùÀÖdÄÈàôe;’ izµvv 4&m¥†Ês q2½¸ƒ\Ä!Ü1_áë¤ ½ZŽ ¥ý@‡Â6z¯}3ÎÇ7qÜÞs‚‰vÄF zót„ëů™¦HñmY®·oꬴæF/JÖ¬õ}%ø/·zðФç‚#›òHmö‚Ì'vi?õA}ÊÇMò+ [-g¶KŸÂ}|.‚¾ÍEøºJz§â¤}¡û§)ë?™úkÙÕ±ÐÆý<›-lBKÀ®Iká~›ç¬ŒDÂÿ\Ò®š¦-ÜùOø”¢ËYÌ€Wùþ¹êƒ¸¦Éü©·u•EÜ„?‰\q®8( a$«ÊîúNlF¾rPp+ž!:b¼¼³\Ä׋Zxñzv7°vd‰ŠfÛ(Bvú§JWáK,†}¼{hÎÄÝ^fT”t[6z2  ‘Ø=ÐXÔƒŸúZ<5º”[4s-åLÁð"66ÑÌ3Ö+Wa®,°ã«}šk ÎÔD¼5} ‡ Šù,í h&]Zýæ…¸·±±krf’=˜¡ÄÒh;Z:bÔOmϨ¿© u-Jq…?&˜z®0tÜÚ*iÛ¨™uu^枀ǜ6/¹Û“«r±’š‚.=ãÙ,¯p1η¸2ñ¡áñ4·IÛ3GrCdhÑé†Áh¡šBlî$ij[݉èoTcò[ê@ã*3…êŽvràwªdþüºÃÓ Ä†µÊž èIδÅ8BÙ!nŠ5F­“Pp%YÕq qödÔïæ~P ò?÷²­‚lòW5ì.3©ßa߈ÏÅdËK^,,+îºèùPý5£ÉßM37ç%-M§âáSSégŒ„µäS“Žbztÿ9oǶÓõû ã•«UìoŠ·V» ÿŽ{«­xÈó„`¿F)Ö4~*ÑyËbû¹ZØávüZ–L6éc›²·¿t‰?Q4b(Çà2­NÃg&YB2Ä-y›6û¼eH„lh®æ!¯ö2à#52Vž×}9d›Û'òn~¬H 蛬ÉkQ_ø.*­í{¾ƒ=;°ò‡ÀöiÎ[æ ¼Ó­Dý0”Ü Y,çDèíY2ÿ²^ö³ö7ˆÐ a#ÛÅ?B%í(ág’z”¡’= Wœ:?—gðŸÚžªhÐ ½(HQÉ–€YsÉÛ …µþ*ÚK,ÿÿ¼ýéwÇ‘6ŽêŽ%qÇÂÔV²=†=Cp$Ëˈ¿ó^h @¤­oÙÝÙ݉®®lÕÒ`㯿ñDfeFVƒ²ç=÷Þ3c‘]KV.±>ñÈ#‚ä´‘ ;²Ï?ããóm TTšáK>¿i c¬ó†§v½Y7<ýÍ-zÎÄ¿‰—×+‰*w™Kï–S_Q\èžéŽþ…“5DÇr‰•Æ5<½péw•9`,ų1Ñ¥ Å‚ Ž\‰CôŽ£F!vŽTwRîª&ì;•:µ±,H¥æCN@¯Ô 2q‰!¿¡¯BÕ²g àñÒ»œÂæsÃuBrÒí&æÔrAÛÝpß³tV,P •®ò˜[{‡ø¤å ß Y¿Î3]ñÏWŠVŸ^ø*0ÿŸvΑqÍÚèÙ<‚(7 @„S¤ÿ}ü¬ ïw gßþ9|4;ð‚W™8¢£÷<^‰EÚ¢Sîªã£/L¦iRó“r²×=C–ÅÏûKYa+/Å*ù‹%ƒÈ¸Â NCo2 LÒç ¨¹í „IÒ ¦ÖÆ› y%·iI«;žÑnKZÖmn™Œ³ñlbí6þßÌNáÞf8ŒÁµ_R)Þ¤<ŸQƒ£Òã’Ž¾¹šÇ ß5ê…<Í…žê0s˜Z/fsJXB òwH±>7šnß%ÏŒ>­„©ž[ê9›ÆÈÓFó:Îï`«wSt¢†4Åy:WÚãÊÕƒ³âKër‘f¡‚†Ä=šÝ§bÚŽ‘ž§|2|ZG¥1ý&Ç”†]`Xê\¸ó ¶[ä cM¨Xfƒ¾„„Ýg}Ý”‰ç?“Ýq´̹xÎ#¨È#r5ºF7”Ž0q6žF§gÙÌÇjð$ÛñÎ!šÐïTÞ|Õ÷«Â'¹˜²=ÔÛ‘ò9QTU¦AÓ†Ö‡µˆD}n”üà9¾W€ ißê ¢Îµ"áBŒ”‘ Ù‡ýû™íûØ—`˜…3FýžëfÏYjD¸põ‡8kó;#iþÁ7Qe Ñ°§>¶ëó”6©&? Y7ë@ŸÓˆÌ&Mi–¢ž}3ãšÀ½˜óC’”š5yíK¨ÿš©¼v€R׿ñ¸”%[â YöqÓµPsÔ6£}ÍÑé•V^XôiÊ ÂÜvÔ‚Ý5ÐjŠ:ZêNkxI‚ ŒÄã“gÈ‹Ý WcÄS ¤êuæÀñ °ÍRñ€Ès…lØgi¥“±…?|‡ß‡c VvÌIi7/ý¯"‚¤÷ñ©5 ²§†™šÌú‚)Êž`ƒì›áP]pæ+ÜI¤Ý\fÂLd. ÍÞåZ­µ+],ìÅŸÇ–cq-j‰°Lßþæ¿[€æ»žôûÒGz°äÉK¡ÐÖ"‡wØy™úˆNàŽ èâŠô_e¢:ŠkûJ ñU@;V 5îf<0ç­y¯T-Ñpö™(;‚"Ri“æußÌö8îi¶pÇ‘(A}‡y.w5ü´Œæt›wbË–E,¦ußµž°ùØY l-‘/—tЈÛå|"lLKFóâuG§Tl]¢­°k™÷!ÎmÏÑ®p\‰1œå\ÓØW9iüS£²o¿ÿKÄ’<×Õ6`]M£zsžÛ3ƒ4`Ö,ÎãîÙ2γƒíïÂCE*)±³FdøDι¦%!#Brn<;¯’;>ri§M_$q4ƒ%? ÎçË`­ÚØÝjKÜo1l;mvÈÐça*þv7 üÊL`ë™­êÅPOv·záDÙØÝÞUKZ'30ïp@Üst>ÉÍûzâ²0ÂDüdwû$d®ÜßÝþIMÙlXÑÆßœÒ<95Ó¢xu÷ñÎã£ÇÿxüªË»Ÿ=†²Û½ÇO?þ@ûÊîãýŒíSÂ审õÇœñáIñ$TB1´í¿°gâã¦\08 \ØÈ«Õs¬ŒtF….ÿ†žù_h}±ûøÝcÀ¿F¦ž<ñéø,®Ç¨šÛ»m´>æ’U£€ ·ûÝy¿Úííµ3}÷à§GYßÌšS(œ§f¨Ú±ø·Ý´«²ZešÒ˜ŠŒ¸?¸þÒ»HMye”EUÍÂQþa.ìG_4ÊÐØšN¿¯Ó~Ôñgߦ{Á[ÔñxñêfE ƒ§o¥…Šáƒ¿Ô¡É~¦+ý ©Wˆš N}A„ ’D莳é•ø¡hëo¨Ó©;q4rÙß´0i+fíO:‚]é…†6¿»²²Ù{«hÌþ¸Ëi:—û$9 V§šD·›ø]HÀ ¢Ç‚¤ÇCcûȘª&Ø“Pp Lj•Uü/<Îgžôã¼lðXtm•!¦‰§§xàW߸XŠŠtÄm¸.ÿf´ÊÎ"ì µ– ^-š°‰tÞÜÏS>ÞU!SWþM·W0Õ«9[MO¢fÙ7ßü·è\Zø›>>é4;&¨ßóX–ž}‰Ø´ïê®êc“Ç ‡ –]50íûÕnÐ$è%!“I99x|ø8¾ÃÐËžòF©D ðÄ°CˆÄ´/e‡'´goXKò¤¨.¼…Ò׳¥   \×kŽ²Ë5ß‚ÕÎ÷“†Gy…©ü*&Œý2ù5pÙòq°Tù›qø½š«U*í6íÎôy¤:³‚Œ²3 Í5¼Îuî$y°™î¶4(9Þ¬à5¿ \š{[Xnï&‰¶nÝùߺWÐáêϱ‘íl¿pàPÉ›<êÜÓ Æ6Æh[ŒÑ%Gn!í.SS×ñŸì*=QÓÂn/I¾F ä [lÃ*?Å©fÿ\s¼]á ^ó$›F¬¶T;ŒÑëžØ& &’Üäã\ÏkX‡tàÀÄ·ïÇ“¨ŠÖᲕÅôΡ‚Ø=ÑÅ+ùÒ¿lXZ¡e=ñ±5i^‰6÷ é˨>é!î‘mE'Z¢‚:Ö‘PÑÜqZN´ÞÜj‰ûE‘”¨õ¡“ÛëØ68º‹¬÷~n+‘°¸«Æ$LÙiúˆ²^ÐdÀ°ìÛu;ê‰Ö·$ý!k›ô™Ì"gx¦ÂÙ€_AÏÙEIñ«SXÌIœÀi‚ª&Àf"=%*íÌç¨,\0<2*±†³ÞpL"*R[k…W¬‚ ƒæá8Ô‚C#vc¡šq¬éh[/cÅ+ê> R7‚–ÚÌ2|©>’BH‘~¥›:ˆŸ´§myˆP§!œ†d:p&Sã&µššÓ PÂ6O­8µQ¸á\úXãåÈ•ÉÆ:Hl`úK[‡A1a:qI«¶¥ij!%Ñù8¦#pÖÀkE‹¸ˆy¸g'X¥hé«I|“/=$Vvdê&¦2Цbf¸JJ×Æ;•á:'Vg/µÀ¶÷´ tÕÑÄ9´î(XŠÇHtø(ODvÂ#ûË\}E6zšQ-F¦¶çQéÀÓ.›©jONšßSUúT4ª“¸£ÞóxÈ)¹ 8^hqúNÃd Ñ™NjR‹mM'$M‚+†>öÔ†Áÿ¥Öu×¢s¦ »Ãº§í“Œ8Œ W=ù• Inž‚ˆcñå´‘Ó×ØÏõ´³ˆ6È%`-ÖÒ–þ¹áÊkñRg›Ù!-|¡jet?V lé5IÅ´Þæ{ý¦ .¡¯¹GµEï±Pìì!¯ñIöÇoÿüM¶óx·SèkäbÑ„¦_NK¨=©é³åSmb€2ÚðÜâ!8ɳ¯x:20huçb´‰^]غêZÙw¡BÎ]OyvaÁkž»kƒõ•vÞœ–;¤Ü<$*à}j_—(îõ d« 6KRzÍ1tnGB‰†¡OæLÂl={ˆ–,ÚåòvòÓœeOWsêè1gŒx|ˆš”¤È´Ã~ß1,"»àµcÀDOÙóIÚ\ŸššÇôRé+ÈŠ¯ÝVí?ÌiŸD±°yRí.Pe•í«Ádð„®9úœôÌv ÒX_غáZCv W²Kؾh&![3YÆw˜0ܲ¨ 8ÑMâó¿ÎL“„iu“  ŠŠ[Ó×¥Me!BʱV1©ù®#¡4å @E¦úÙ_Ú˜šOÀ³ù|;“0_:Ê°¡]ÃT.»øIEw>‘2FûÕ2¨Wx:RÅpðk-vIÖÇsàMéÐÝv®®B…‡kq™s-¨J$˜:øo0ÉUü¬¾7óõåvòèŸÄ裒9 [¨Æœqyæ>WZ >qú§túmÜ›™åÃm~||­×¯³°»$,ë€O—°÷UâQ+:*éÒ»´Õ”‰?žT‹"{Iûë‚Æ­>W´×¼PHÂVq`Qi×;y;Á1ãI{z!E.à ô 7)L·ã¼ˆÎ¡UÊf¤dG°}×)ã•~ot‚êzÃ1P»§ß„‰ m\)’y:í(@[¶Ï‚kub‰7ÿv`¹ÈT¯ªV~æ"=ñ¡.f©rT¥o¼Iá7F,Óíß(⦯ÏôýKÄ[ ‘ÖuQŠùX ±¬2ØýîQ¶Gºsõ(û›žåp%g|FYøÚ}ð™Š~7¶@F$Ù¤'ÀMÏa´ÉÃÑ;”œýw qÉ1Ó/TV\æ³*Ž ÐCwmG1šæ¦ïÀ#óÎæq¿æ'€ SÝë^rÌvjý‡oÒ>øÞÕh¯:äå1^ŽŸ7Ú_<³Û½d 8âYg/pô=®÷%Ü-H„òø‡ Y¼H¦¸#¯Äñ'®TB÷_ÓùÜNǵ–èrw»O~|¦u£vÓC²îˆŽ|óf<)T%³À áûãFTòj{Þ€´l¶¢w/¼:þ–GÀ0M¿ÀºÙ²\ Çqt¤N{ÿ(üRBÂE>Ýe¬51æ$ø,aø¶ŠO@l¿ïUnÐÞáç<¥©ä^:tøJÕ ¸;â¹hÑ.uVÒá™õiÇú(È\±j²ó cì`j†àMæ- &›%§11¦°e…¤ÑIl%i´Öw„Ñã_¥Ýö´´œœYV·ä,/ ˆi‰‡Jä²´W>¬m§ã±Gu´%—à ƒ‰ãR&HlÇ?ÒjÎ.ö#:B‹±\0m¿îR½¿äÓ+l-ÃÏÂX0ñ–clsd3-™w6Ìê5ÇÒÍ{)—]qԘѹ€]¨Ò'dª,f|[Ðk.+*øF^Šc-è ¼zÁM\Q*1O[zÙ-Ñ”‹ ¯$é·"}—¶öBdó¿KÖõ-¥ðâEvI›Ô1´s=vî½7¹^}3wÁ "¿á©âÙŸ—B¿é@£­Ì àO$wajYJYŒß+£Œ¨Œ÷kÉY8œŽóbKsÜ"zÚ‹ÆAb`lJ²Ìa“ýmÄì¾%ɶÈ ƒµúN‡ªTÈa˜r°gõ±3!à—#-)^û0¯»'©v¤ùE}ž#¾òÂu¬‡Í –õ¶ÏKeÝc²e3$®ÈÊŠ¬Ô8Y}ã·I©@ñÆïà|$oɱ"ÔÞãß%ǃýmíÒé(k’›¶ºR„ïü”‡X} É_!¥4ô Qó%ÒÂG¾#Ô)¯¿rÌ*†7 aY.§K ³X1–Vè”f¸œÒ‘&½Ðf¿CqÑÝ„w\‹6‰]lܪë>^xæSÏ‚‡’öÈÓù.–,¾ï{„Ìn7Ziúò< +èSmÇ}³Ô¨×.>Ö) ´ÍP鱂Ëä‘Òº)2³¡nBÚ†y†)z•¼™N¥‰±†ëunØyJúc8r6¹Ez e1[+”õÖô¢€2›Íÿú®™Ú/Ðî´4.!õs.Å*>XÅ…-m3Ö,­pj-Æ“;øjî(Æ##Uÿäù~˜Ó>å’™¶-Mös³¥aÃ… .i3ZÛúÖE¿¥'ÈÍ<Ûz¦r3âR‰[ÉËÍ’b¬w™æ­»¥6¼Øwå̧¥@'ÀyÁòŸ&+Z±pŸ鱩ƒv5„ÎFyüVS.|AÏS‡oÊ÷3Ä%È6—¯ÊIZÝ]köàŒD²×È×[ò¡VÓ.í­ÑÂQÔ‰ø[øÂK„\À:W &4Hðs)¯3‹Šé¿ÚUíC, ‡bv®§|Fb~†u0TÙÔTìÍÎUCo;ŸéL,Iàz³õ( ÝÝpJ·ºÎ=!͹ý&>v9ùÍh´ÍF(Ú^‡A™ŽZ×®}’ÒvÄCÌü´«ÁЇz¬íí–6¸] ôŽ­×S·âD«*l<ŸfØ20‰¼?g.ÅÕUúrA|^Óeœ+idp|ë‚«Žm©l“=;ýÿA{ôJáÓ¯ÀDIM±O¼ÚÊ÷Väæ_æ<Ïp®ÿ¥muø- νè Ô TxŽ þµcÀ¯sÓo?º£¸ û6D®–y3KIÍ8QÃ@b¹¿ìØ=J€N ¦gäŠ+Ž‹(¹GB=ôar£•O5•I¿ÿœpÝœS\L0Ð /ßTzÙ)2çÞϧµv,¦åÔ™‹ÊÕ·å¦|G­:Ùì7<=o„(yÝâÙñgLëÃß­ûrßuYjƒBzuÑ‘s‰ÿB¥ï×<µìG„'O:ož¤U,YrÓPøaœ~EŽM&–/~±ò0\µ ;ût¦5C)rñêÅjOkàñOß䉃eò8‘Ü¡³×ZâuäÅ)ªéBÊúK¤Iôî‹¿¶ •<á›á’Ðô©S}­¥u-Ô æBÿ¤"œwnl»·™LûœžÍWÀFÏtëɺÇX -¿ »ÜÓ&jhÏ„ 1Ò8Eiž˜-Á„7Šæås]˜ ‘–°B G’¢”t90ÃÂ! tç}Û£5]EáþáøÝåz“€VnðÓjžDçmºùè>7UN#PFˆO< —Z”Õ‰öc-¤J?T7öÞ}”·f S[™öNÕG~'k _@ò¿£ï ti¢x3剋4œŽ¡ûÊn‘úb°Œ* ?ºæâö¦cÍÑ:I ˜Z†OÉàÚ+û4à¤Iµ#Tjw½ªÎvFeLÔ¾ÙR_u§?d.`Vùø•ÔО¥[2F³=•‹nk ½úEê@=0”Ý3‡Aú60é+„ 6Này†"ë{XЂº™Tr+ü´˜~¸B¾SÙt¸˜øXFG]9×é†c¨‘„—ÒÀ¹ë¾‰XŠVÔ¸ëi8nÚ•!ýGˆ1ÅPÎìù©"~¢ !0<…z…$Û1rdsÓŠßS•†·8&ö~±‹€ˆì­²‰’“*Ì€î_çÑs€U¸°Y_ŸgSÑéqã3X˜‡ ggèÄÊ9”YŒ¿¤¨ gT5?ÄÝÜaJúevŠÒzet¼-íZÕ>€Ê8]?·ÍPø@¿¤SÅ™Y­²÷È˃Æ@ßXà©~æ{MI*§“5⌜)JñR—:¨2Ü*4‡ž©™r_U“îgäÐ.m—oW˜ô*~6˜€èø)C  ³N}pM›©XØ-õ‡f(j/Ý ®ØºäÂeb¯ªƒ;ð% ©÷ñãfád_Ϲ95§zæy¢ðKvö‹B 1®ãnÝB³õŠ {ÏџИn9Î~ÐÓeð})¹G–æ5tβSE,¹qü·-ÁkÌ ž©É­ënŽî ÷‡FXÂnu¹ÇMÑ}šË.  #’µ®úVØ,ëXEññNÂᮈ°FÚÎiè#xµ<Ú8€¬pQvQ™g¨Ûòñn„U¿sþ0û2*=é;G§.褹´O¢üÂÅ (_þÅ9Ÿj—Ðíú‡ÕŸº pä´Ô®ÒcòƒëîÏm>”"h¤O…ñŽ'ÙüœN¨ÓÞ3㘯4sÖ⦙ì'Ä/Œ…)]_ë9ÛÂ(ú;Çxóáóç…LŸd[¼à‰K;lH?k Vë®÷±Vå@$Þrd¬¹§´U²Ò×"ë• îÛŽŠ‘<¤.ø«˜Yö³¥Eþ3³à,t];xÎ7¤ÓÐñér߀'Ÿå'¥æú1ÍÛ>ïPjŸ§¸6‹lèÛ"‹b!Gõ,âP¢Á€鼃[ˆä¢ë#_™æ!“÷÷./…Ñ`_ØyŠ:‚/Ò“„co# ÚÅó$1ö:’³Â»6;:Ì…ôu¦³n³J&¹éØlD§sWi—fôÁ~ˆ~SÒ÷€_?LÞIfÒÇÓ ŒÂƒÍÑ1‡zeq+ûü€o…FGù:ëŠÀ7å±3ª¹”Ò2>YKì¨÷V9 ô‡`—¦0u²?îs‹“,ö†¦§y'ž¯¿OÉ€£üºzõçŽÍ5‡^#²Š«Ä¤V ¾Ë‚˽ Ë^·(ÇmîBÏb¹è{Z} ¼7yú=(ì79²ý¾¶rSFÁ Ã S¿ì÷G…­ØaGº[º§ï~›ûŽãÊYÐ{ë÷€DJä’_ä?Ë‚G©úXb®@Xœ…Ë"JIÞêÒ“˜‡ÀB m¸"8G0)DÖ¦`ý„ü‡ä Q¤—+áQÙÞ›ˆŸQ¸‘Åi5ò=b¯_‹^¨"îÂÈŸYWZ@úùÖГ+8ס"'¹óB :ÒæX´8ˆ€Ó*‘ËÓSKK{ZÍl>‘cÙB)F´Þ’œªb“ë?zª†HpÄ–òò=I¶ù|²Ø=ÉŸ7Eç%y ˆÙtWЮ{¾² ´x!¤?¦t[p»JΦàÑ"ÌCÆ}Á8áüÕa7 .b2’îf‚ñQ^2‰SÛHQ÷扊Š ´¿"³Æ'uf2k§ˆ~x§çÉ~Ùvà‡ôiÈm `ý ½ŽkÆá©M ¡ø°íµg*\j¦ÝîÔÙÝP—CÎZãñÕ}Õ&é©ÝMï‹–}H3\W.½ðiDzÓvâ˜uÚÿíÔÕÚÒJœÑ:<Ѻ@Ùõ×ÚnïÏøL6tÉN!Œx!H¼KÊÏH‚e›áDψúv.ä"Ùï€öŽ>QÊ= Zzî>¨À%Æö‰«$Š‹’€¼ì—Ñ×mo´íVêwrM¼§:7"îw½e¬ØôYØ„ˆ“aHp_’/¤cn"†LóK)á OÕnoâ%™ö<¶¼µ–˜˜àoµÔèµÐ-¬–»- Y¥¦ÐƒÌ=™ ®—S5_¥Šäzìâl÷Âï¸ívUr[ #NTnûE³l²)j¸dmY`—œøB5J蕨ÙsÌ _MSÉPúó —Y63µlE(R²ÏÏ󸹎&`² *ÎÒåçëEx¶ž!ÓgrY¯íêÖDßj0—vºĶ;Ôì—©6Bg#š¤MŒÐÙ€dßš“bi‹›»¨ŒbǸŒý‹·N3TÙ’!IƒÍê*‘ó-5³áÒ«”»L™ \‰²^Aw.DØ^,Í$×p‰'‡‹.à†ðb3ƒhI¸$×(À1EÌ9Åè5!tO®öTÑŠQyHQÅÕPÔH’3`±2šF˜ºë ¹ÃJ‰T|ÍA~!_•†n›¶«pJ5Ïvò6iðãDn§¿If¸QÌä¾ÑÒI«è*9Ñ',M¦˜hîBû)‰f"AÄ‘"äÈO‘ÏB„Š÷¿1þ•²æ(6¯¥pÛS—ÕÖ üï­–wŽ ­Z`]w¬¦(Œˆ„홊•XATøt›ÇæmzVÒo7FîÜZDb¨6Ç„«¤g3L?/&u™ÝS¡Lì Á}©^P¿ºím¿j…(røÞÑT€Wפ“N´Hl‰ïb% · ¼Öïkdí'“õ³ÞĈ×d=÷hw= 3§iÃ0„!Sí†ç¦EÛ™˜Öjv$S§‡9-@S-S!BcÍsºÆ¦¶•¾Ò½²«Ü¹‡@¥Jaˆ\!]¤ôÛ ×£ûݱÉe>0“¦M1M)y,rëvµcÛ䀆úíjæ?EÒ¾â(;â¤u•ñsš´¿„Ló”Ò w#(«¡ö ²¼i"ÐÒ˜Ñ_fÂ>·ÖÒ¬pl»K´xþ£ì>5-yYdóÿĵ–HbçÊí8·òûñMaøŸŸ †æ¹"-¨ëN®x ¶q‚ìÂ{M[«Üû:ÝTІ]E -÷Å ÁÖæWžðº7y:KH_ñ^nÖ â<»ì¸Åÿm{³mgÛi2ç­ÀØid3Ñ£ä}™•¾ï•–^%7³á¤ý²mcÉx¨?W¾¢eä>å^íL¼áZðÆšA²·€8±Ý«sâ0´BŠ—w5Ðc,§`Ï3Âeæɶ”^mO,ev¯£šSu5ÈŒòX³•M\`Ÿ!l)%G€HOÞUóI¡/HµñlMVu^a—¶ÒRw‰R£mGe·‰É׎қõK5è>vÌäZK^Š ¥Ò-Oòi$©ÅÛ³l9è>hbqo;>ïE´öñIoXèT#U—ñoßi?ObñÚAm©•îi¬Úí–ìJ£»wô¼;žçãmÓ¨ªv DJ;«Ph¯Z9K/älzo´» »ŸìMSKãH{Ûè/R)2ÌéH!¼3¶GZ‰×í}Ž&j^ÙáÊHùλÓ-JX틹±Y3À‰Új{«ãùr,¾y ×ÉAÉINðF‡\uŸ¤.MZ¸}•$ò«|Çg˜· úô™~rfŠªó(ÝØ®ö†$)ÎmñKĵ„˜,Œ".oÅ"ö‡—*buë÷(Ž¡ŠPP!Jo´m†‡1é&¦DòÚ°•nýõ/òá™&ô.ˆ¬£&ö•;oüâηZÅpLNûpVäÉÉ[—\«}Îÿƒ&ÇZ¼)½7¥œ’лܮíöS‹â5©û)ŠÆ#Ž½Þ~ªÆIpÔ'¸ˆÔÛJ”Αû fŒ01Qû¡N¤ßüº#çªgò&ÓXpA.Rð‚®:†p£oE ËŸð£ïôá|r[Pvˆ,ž r» ô+“ÜŸQàœ$%¼nɯ’ŽŽÒ‘Ìubƒ¤˜)t¦—ኟDüØ›þ©’%}üdàœK¦1ñ0¨zîF‡™¦Ê#Êù¹orKoº_«BÚÙˆòNÇÌc÷#abÆàÔ“ìOÙI4l:ÚªÈáOõÀ<ä…ÈEðŒ¡ø×@Ë#™©§býø¶ÏÕ,vI@µ…•*MÍýUçfÀë~B›~¼ÿ·[F@AÛ‰v¼ý„>h4Ñ2o•Ö“tG.E »Û‚Vµ‘jbP™×´2Óg2«H·>úIÅó/¿‹²~(€l‰½&}y1Ù’„´àï+’/U½ý3¹ íÚòÏe&´JS/\†|«ã‰™‹5Ê\¥Ï|¢¦šò ››ôxçøQ¥³.iÙ_¾÷äßKr‹Îbº Y¦SoɵùÒ˼#¹öƒP àF —ª;ï´žFYØ¿Û;#â²%”ùþLÐþäã†!— %\ìƒsç¦ SÐW‚øÖ]XΣ9ý%ø&éÎÁñ¨‰ª«™› ¼zâ«#UüÐ)¾° }€Çž÷ŸŽ×wJиx‚ÔàRs~5}§ÜÙU*Z2¦'üĨ܎> L$(ü½H’=“«)*Æ-J@f˜‰ Š²)ª³(ûÜœçíûv #¨7Û~¶À« Ì´²a”¡èòk9>÷=:O"~„>/!M©–œ¿ŽkHO¦šñë؉ž¥uƒ¶COÅßž½|W!j¹t nÎ’­‰í†H·;‚ú¼)FFz)·ó5#ø,@3CÅL’‚禌 A7Ew$°OtçT`ÎÅS2²dE™Û’9€A¾ aÄònÇ$:ĸÍÈI#ÛËù¸p¬ŽÈaÛŠ›¹”°àM·4S¬L–  ©4ÏëI8ÍÝ)òÖiDo5KÆõR8Ê‹i‹û­ï´«ÚÔdZ‘Jµ„\IÒ«‹ù(98u¬»‘„ꊊ”7Ï-óM2qÈÒ9~Õ¦0È„Kô`SØ[SŽMÑ5ÔÕ“Y÷ØœÉ4—™ãâ6Û¶³LDnÕÜ–R!JRRbKÒÂŽããX*·ú_Dã½{BR0çÉ5ÏøçUrç3qÖ¯Rè{¢ g×Κˆ›Có¬ßš ÊäŇ«†Žˆ;9M¸¾©ÙÛkš1C%†ºlôÉY‡àdðRõa­q•²PÕZ¿;}ñ~}±¬y¬ŽæÛ§>UÇ[ÑoÊ>Žß45ªã1â I•Âk #¸&‡Ò̼4WÿqjÝ~1"…­È·|'˜éO#äÜOÀÅáF\cI îu ºÓÒÅX]gâð$±8hUÐç¶Ñ¬'9œ\ôm7«°ú<×°h"Uò‰Ú…p™ã"Ü mÇ<'ßîž“ýUäY´4T_k çÂß›BÅ(?(·áù´ßMŒã h5iêI]ÏÎßnÛAɉã[‡h]LðÀúu`ÑÝŸMJ„< âSûÌFÛ‡¯ø@x·)Ž•sñÌS øžšÌö5€B%‡sß‘E)/Žϱ™ú'‘ˆ²ßoѯ Îœr>àøç5>Úÿiû»Á´ú¸0¹9w÷ñ ÖWrШ¸»ѳý/^dÿ§üÀ:kt`£½â 7IH¢m!UMb§¶¼ Ý°¶˜ÃöÂƧÜzÃÐ €N¢²¦P€ŽÕ#éC·õ ù ²¢Ö¤ãé»ýb¬6Äÿ?â3îX‰;ë¡V =Ô“í§Jx/ô\&¨ßäÄ™"ˆ•ÃsªäŠÏl™vyfÒxÒ¡¸íÆ…p; yíå––¯XkÄK"#’ööb6:µ Þh{t”F"¢¦õyJÚ'Ù|P'ß/8ƒpá'¤]A bÊg²Ç[…<#ÅôÈØ䉷ðÈø.R?¡ö±y¿:úÒßê®äʇÅí&:§¢ëè{Ž”dÊn0 …‹–‰Yl³¥spKëÑ)}òŒñbf΃a÷hMl×=HŽÃÎ2ÕgJ 9sUå©à* äm“xœý)ãè"KÑH Ï#cˆøÅ°‹ãÄDl<”¸À‚Åv‹W‰}c¾!†›iy,éˌЧºí;m›ÒNù¦cÖ\ê¨c ™\ EP µW#‰X¸Bog!’id*¥Èäê²ßI Ô£\~\ÂU‡/‘À#vɉž“Uö°Á¤1Ùƈöë1ðF§¶¤“èë8SÖHz«€;­èÔ4qLÍØNmȇ¡Õ™g6_˜!@˧ˆ”€.cur\À ó$î´Â/J2ÇÂÝàq~—L§g{ó%ð–±z­ožÏÈ £¼ø÷8„ùÈÌbþêL(¸HWM›üÎlQRcjyaæE'3cq#¿Ío@¨qÍ.< Kv¼,Ô<þt]kŽ0 «ÃŒÒª·B¯§æ‘2èýÀÂÅÏÈVîl Ž_UZ¾¸+’Š;„µ@Hãû5šœ½Ç)*âÕøqËi)UG²ºŽ¯hJé¶@Ó"½a–[vŸ_.;BHäK‘D™id¹šY;}ï8RëZ[ê"$½»-S1â:`ûgTõVàæîà~öœÏ‹%Ì’£0ÜŠÀõnÉp¯%Ø:*ƒ’àH é²çv]‹´7ɾå±æ²½öØ[ˆpäC÷aÒO’áL`´[“[9ÀD^ÊFÁ¤A 2„'ÑcòYèxá¯;‡ Éf4fnÒçÝ $‡À¾ ™™M•ÉŒêVn³?~óçÿúöûo[{æšÙ’>Q¥òëZ:ñè?‹ìPÓèOÇ=luq?ßc±ÔY¾l†í$£­•“otö-I€3ûF [ÍÕ0:æ5Ïé[ž/EæKµ‘ªlgœôµaû•ìî«·½4 *!Ý™ìFGšë'eŠ»!úuÎ!Go¥Ž«Ž ÂN/;Êa;k®M›Ý[]$ÛGH¾Ÿ"e,Ž×$ â«žâ*>¡t–ff¸°½ˆ.˜AuZƒþ0R*‡í %VJTàð=¾Ž=fJr {Czpˆ£Q|.™¤*=c\„ø%]; sîë– ½4ðŽI¤´†`]Ÿ£cMûXŒCÏsà4Âð'×Ìl·ŸÙ•8$š‘ ‹BÃIöæ}Pé·@ònM0‘€¦4ﻂ_©ÅÉ÷‹ÈelÀ#Äò“B^KÝ/e'Koª›ìÎò,öâKM¡|¯æ‘àâ 0¶ßý:ÑŸ0â5²¬“³4øã<ÔtÆÛÑì{-~Ãú+@OÄÐIr¬ý»&81JYôï¤6]§HKFyZ’¹éh°g¦~÷ Áè~C„%Æø°Ž’&»ùnÿ¾£Äši³Ù²#ÆΜ顃 {‰2öšíª¸ìZ¡¶mÛþ.ùq˜ûnÌ ;‰{ÿ5G³âœõWifÉÛäB{ýœ)–ÓÞY’{Äá#ºÃ}²B3ÌÓ å›‘ÉÃêŠãØ&Oî^ ìy×…Äõ¹'|C„eU'p»(uÆ |jì¸Tó g"›|ɳ§’öò"siL=ΪÜÒáyÊÌäT ûu*âQ´ÂtbéˆL¦"Û§²Maó¦ˆ0w@®èä•Ë)Bñ›<æyá7ÛÄ/¸†RB¥­ } {iÏ9¯¨ocYTšGÅ°„¼ÑжG’>œ©4²V\JÅÄ6§6Ûi' Mšù‡[RÀ Õ¤¹zý–ßyš™Cªìêx%X\Ù6×_¡©>˜Ì€z³°@-³g»?Æ©]Ð%}R`¡¸)‚á c- µEØô×¹QAïŽì5ñgÚõfËóÞ”l_Ü­^Ý'Vh·@chT'’Š0xì/M¢‚ÞñdNš#ùø¹¬7J"²²ØåÍ"Z&¨^) SÐN‚òvű% rk—¤Ì¥Æ‡‡O¡Š‘˜¯4’!„3úѹ¸;ræ BˆŽE}çË®»<>ç¤ÀÊíε; ÄœN’†îO'ÕsÞЗÿ¹ÙzƒS˜\üú±Ê1žº¡§ƒ&U›€ uƒÉË.N¨#U`¢„3®Ìö=)j/ίÛààÿ‹lI3ÎTä–W;^‰£b LÔYרK›%T\vZa¾>²Ç Ú¥UC9x%jžmëíSUÈÒD~ M+¢ì·C@Ó¥Ô´_mõPAQ•0†¼PÛ⑇‰„…VŠ‰ð9x.ãÿ„øì¹®}–VYÈßÓþTMÍ’®Që) o o‰ŠKT®B"%®] v]Í`Š)¡—Õ†4J1³n„>u„Yo‰}3}¶äÁÕh-3b²èq3ô [Õ‚ó åp"Úlf¡²U¢Ã-Ù¡2ïën`ÙéÛ´8$~µûòFË=exËWB`sôäyU§˜¿ÒÝßÍsU\ô tÚF¹üÉí–Us¼LQ_È+z•ƒ‰AÍËa ² ¼éø‰ax¶U8 Ë,ßÒ@s–é—ù2t ^  mbpIÍ —‡r_ÊŽÏÁŸ©SËÅžÛ‡ØÒ•°<ó5fPÀTó+n¦Ü-å[A-®äS¶Yxἡ“E°t#ï:ç%±¶Â^‰7/Õ Æ‘8T©†µ5“­ƒRp™¬Ýr¡ÄIX ¼jnô¹¨&ê86µØIXÚ‡hÚ¾Óƒ,JÙ=-IýÊÓ»Ò;ºOê],K«+=(¥%t ¤b˜lqÃO@µâvÚX&†­Ž§ÒÛƒgÖeÍV3y/¦5z¥[#“˜–b·?9¯¿õ$Rž;þÛ#úi@Ù÷AÊ-éy &Ýð¤êlÚ1K8:|U‡øJ“MGlŠÁ¤s#½U—dÝ{$.îv,R¬Ú*, ¡+b Ø·ot¤ên‚‚§/tƒ×3ô ¼;+SÔUç]@g{?ÔAëˆÿ+zû|\Äà¢çK1V7ulr±ÐöNÕ½öÁ߉‚"þ Sõñž#b¦Ï%­Dì›-%cl—Ai†6 •ÀŽa²:"ÎùdAûð›’4þ*Ö,ý}¶PÅ"7—Ã#C¨‰êÙØ-êÉÕ›ž›&BŸ]ö#o‰¶z’½âÈT §5V*ø½¬-6ÑR”ä(½Âñ‡– ×@ôg’8XÈj–eœÇ,.þÉñàV¹tTG"¡èÎ]ðuÇÆÈHø™ G†y$ûA—±ƒèÅù–u ¹ÂIX*âe~šdeýë-w!‹âÝñ„ùÒËCœìWžÉŸ^ûŸã+*’ìl­“KÝZT§ˆWøÐq*_*ÊCÙËÔ÷ÛmŽŠàd)•j±#“Ç‚³º°´°5V2¢ W+š¡¡(àü9UÂIÀ¼ä¢Iòµ.J±hqáJ÷KC,=GÈš &‘‘žêÞp×"FÀÌ߶e5·•ð§^ }Ö*-M„*­”[ßË9±Þ29ì7wAÚ·w:OGTC;=J kéwYž©2 .þV'ìXŪ類ôÒUC”€?²/Êe%¹W-ˆïÕêO˜Ü݇=/Æ߈Œd]ߊt ȃý¦`9H¡jõbV›¯KzâÂnÉ]/òç‘uh9ÖŒÜR-%@[èÀ¤¡¹è9.eg†Ô:@5ÁÔ8´y~Á ®'¾y}==…½bª"þmœœr§y×?n*ÛZÍå ás„…?4ÉX0O׶@xÓwß¹Ÿ“˜.¢a!ã“ ¹6¾j-£l‰á Œç6­¸'é´é\ÞÉÏ’r†’.s“'8±Ó¥o?ÓÂÊ µ±’˽%ÁFd3ÃYX%qÜæ¶óÜÌ&ûKŽÞvûÒ7aú«Á“Ô–¦Æ^ÑËÓ1bÔ!”Vkò¹êÈóˆêŸƒ|ß[ò -Ūµ™©¡é<3cýÉo~ ‡:}Òe¶gŠ®'Š„»”)™>ŒŒ¿ê 5}ÖÒmÉZ”‹6K^v#v©:.)¢·/yÓµ|~Šú0WæÃzŒ“à$Ã/Îçöl™ÛŠóyüEªÌ† ®_Uõs³U’&<^µ€^à•š§²wЯo:–aij:§†‰Šzsé¤QÙd/逬DÑh]wÄÙKŽ$ÎT³Æ%š§raø2ôý¤»ò?#ƒ1›léŠmÓæ†T¡‰fëÉ!N„vª<ˆ?9L¬å*?¤›ËÜêС–h-¹£"êEz….Æ,ÞJOc²ò´ ñ6üšEƒŠéÆDÄ{0Ãb~#ä‘k&›fhÎÃ"¸‹^å¬]ñGÇUæ– V¥®1=Ší—f:±µp}0iÆ@šNûk…}­F¹q„“*#r-dpÚŒ£XpÅ·“7NŸ‚Ðü+­M×âƒm¦EÚÚiýš:û>f…m¶´#;HÊñ`*²Õ°(˜Dª¤NØrjÇB×GËS3V¹={Â($qŽã>yÍõxf›¹Xè,™Â-%ö¤OvQ6.>%5œVRÈ å+Ìúþ(ˆ™Yxÿú6x|,ÇVl¦\63¾7}òŸê·gu·÷]5îý%$KÞÝß´oø­w±@êÈi&ÂëúEÈh¬^69ÄÀ"ÛÎzb8)›ù\È+þ‡ïàø-èOÕd¯ËÇÙ_BùéÛm:¼lŽ(ë]-Æ£o‡Ô3`oe]ËlÎØà !¢ì‘ø;Éœ—fA{—Ì¢žÐ7·uàÎ4!xðOgo[J,üw£ÉòþÎH ¥™&Äo Àƒª‘ÛƒŽ(]$®ï›Üuà|<¦œÄ¤ÃMæx£!ŒN ÆÄ:k",Ý’BVz´Å¿Ïr ïAzeѾ`ž-çͨ*Ù9¥N|ñ·;$ï3æÍÕ\¹7BáÌYšÓw«Í  düjW·m2 5TÁ ¹ŽvU«ÕÌ„m%t¾*%¶3›Öêb¨ª [´’:Ún 9Eì»-CzÆUs;O` ¼9Æ´ãááWAhÕqC÷©ª%–B`®^Çñª7VÈ«Ö%i[w<y-p°Ž™çéò_G\€¼éò w»òJT1w<;ÆYosý"µh´Lä»›ªZ~ˆé«¥&¡'` ‹æÙEÙ~2Dw[þÔe†ëNí/Ïe`–ÎØ@¬“9æ :y¬¤ë‡î$¢ùÇ:™4³>žû¨S¶fÃó –ß^‡ú‹£#Au[Ÿ´ãÕ†p’<+ª*+`úw€ù×\­Ã¥Vþ`'ˆböv{½Óýªc÷{;¨÷ˆNÈÓd7پݩ£‡ÞŒ\|ƒD(cNý){³õ ¸Kò‡_;6b²Ä…}Tüß¾Óqeâ@Nrñ•»"7ðf`âéd1‰s>O8/,NTÝ-yÆ}K3Ñ:¿hH8zùõ+™¡ˆ½òÑÈÁ¢-á¿Wßm‹ƒí Sâ%ü$1BÝn©ÀQé|<ÎV¾÷LõU g-òŠe^Ãõ»Ø…O¾ gÛ¥žÑrv„YöV T'‚ˆÇÍi·¿Fs¦ÆÈ )ƧvÜ”Eײé”$Ø|ÜDÅb§\rÈl+8>Ù……B6f±ÑÌaCäBåp_›pQ(ñðUÙþfÚÔú{ÄXR=LöÞÿžúã]ó<¦VV2[Çžðçÿ,žÿÁk¡CåY¯¨’sùŸ70‰½oBq¥c‰æŽ6S58UââV(3^Ϋ$Lıú¤Ê“bDÏ8ŽÕš,ÈŸþ¦íàÒLJæ=Bp 1sµìºî»ÖÈ•{žì£~nt'Ø´ ðÇL'Ñ/×;QbÜOH{oh˜²a£Ë™N\?`ÓDò¿ñ+BãW(^Ëñ¿ÌŒX„ðªoÿÜij"P’çXstdX‘²åH£F ѲuÝÇ–&ÍP±ÕTǬ%\“¦Se°)«f¦Äc:ú“Ô¦} R§³Y–b“Ê°ÉFÈ” ¶ð¦vÎYc¨{hÆÑ»äÙÖá{‚M@ĽŒo¿ýö{1uòìÅöþöñöÉö›í£í$×8XEú¼Ê Ôçn‡xX÷€#?'½›£Ù ~6ôKÝ¿‰ç¿å[8ÿ™?Â?~¯År©œÐwº™(iìB…`ËìÇrïN›ü²K–­-£Ž»_h5ïïh@A©&6nožñƒ@¡÷¤a#ö$†ûê`ezûæćˆÄ46Ås"ãZK:ž6ÑÇÔ¾EŸŽÉh1v´µo·m>·Qžt!¬É-Ca£›ùn``rt‘üï®×ŽâØÍÀ J€ç|µ‹D›ó‰ÉÆ@5åFÔÿ7캘}…Ê~]Ꟁµhîkš;°t¶MËñäéÚ *´»,HX¸Ðö˜íŠn¥Ï1|«H€]Ч<5E5]¹º=‚¿V÷­ºá:žj TbP8ÙNsÊ

\®±ëÝ!c3éSÇ8‡‚q€ \7KFŠÜïôàªgq^l¦üøCÉxÝ M² ZƱ~OZéЄ|ü,2ƒ_²E!Jµ£ø£¼6º>g“0 'M6!,ϬL¿Aîâˆ8ªú\ñÓÞÐΙO¹O›ÐB‹y@ûC“˳@Ò.’Ê.³Ys põqtð»4ŒGo54ɦ—ÁfQ²?Ötò>ñ;ci?(ˆE§,¶1n-Sˆž}JG¹-<¦lÅ›âG8 zI‡="8¬ÝŠxNô8)eqû.åA¤0”)è%uv&ä¹ÐÁ•k¨.øé¢zœ=CH§ô¾Þívht_ Ãdà²Ä±™Z½)LÛÂ/Éœ¦‚xùrsbÛÕÁ Ðzî™(ßžF tSÚvéœ:é6ù0-èNjߎÄήf;°žh쯘-?VC.pöÖpú.¶Îì—À¹;ÐCd~ÿ×ﶿýþûv¦­ãB¨§5e<ÆVÄ¿2 Š½xì}×ÒÎéð7àï`ˆ¥š ¥©…æDOFËÕpù·8ú(ÛŒ²P– ÆG ã˜1·ëv-I sª_‡~Ÿ¢ŸpИ!W§€õÖÊÅdÙ+ˆó–úëL(ØN%Ò/ƒü"""tÛWÛvÈ=Û”]šð÷aKÂAf´¥­¹§\¥*Zîæ@!¹T&ÏšX‰ovE­Zut|ŠŸ‡‹üüŠ&Ë°úZ¾F߈~Ô~O{Ç©A%ÝÖõq»%W“©ïˆ†VòžmÜ{ƒ¤ ™¤’óMO/Vž£Ïû8ÿA„᤭)k@<òçïÜ nkEáV±¿áã6 Uà €Uѹ?¶¥­`êëè¯2Ð;³Ô¤ÄbxFª:#¦nƒ~‹¨tVÇ%›õNi,ÊƒÜ ˆìu,4ýî‹ 8A÷²J¹¤»9ÅØ5@¼ÈB±°MÚèsTTkêpÑèŒP8]x½ÍÈQâgòšâK•×©<Ñò¼@ËÐ Ni§" ,0°jd$}ÛqÆ ¾?ÒxÄÔHz÷qŸ®eþԌDZ];%5DYZ¤ãhˆ¼…–)¶%û´©L!+«3k Ëö3á1¾Çôš _ 2 =Í«(E_»ªc”À˜¤,Ev`F(t!(kJlÙ$ìÑT“X†ætšqØ`‚©.¤-ìûv/éD×ÙÀ”ƒF®ž;-Ô¼ævŸÉ3ÏèËJ¤<’¦H,²0ÁV°œš´×O'Bä>•í«)`8‹±Ðæ}°À÷T<'»/³©‚M…5T@JùÕ®‚<ÛQÕ„ää¡V9SIàœÔ+Ô]=…†5¾܃ôl»Ø_ÅÐ pèçtÎ&J…¨ì ¿„/«šÔJ^æ‘ŽHÈþ.ƒs¬CÞ_ö®±ÊÅãá²CŽfØíëŽØ‰ˆó8ìª)•[ÀøÇÄôÃKé‰ßib(tÍø}I4±åÒŠÊ‘çÒ6êV‡p;\Æ€ïµä¹â9âëPÜN¨sùÌ»MNŸ›öW( ¸õ4¾Ü5³ì¸™1’¥«ÙðÔÔ¾cH`"Ej†]ØeÑ¿5.gÁ‘ŸÑäCßeF:\.Æd¦]éÌ:Fuo0õÌ/TˆtÙòxÜŠÝ‘lŽÏíØà ¿°sí¡(> òÀ‡»éa4’·0ßÙŸãÒaŒÒ⛓e/bÑ٬σ|F+ÈïÉŒçEq¡bñò‡à’ÌKj_ƒ@QÑŒsa6²:Í \Ϙ#c N#é5ImøD¢H¯a­ó꫆Ðý¦§"tŸSïfÂJ ÍÚ1éÓ‰õuæÕ0@‘1â9ÆÛj³nûUÜŽ/®‚Ëà:šú&ŸÈéRô†|š¦=»`?v(Å/Æ´£F8NIùÊDÒ;9*ÙØ×[NM´,:È{¥nUÝ ùÒñü_óVÕÏlçò<‘_Ìíû’²ï_ýÁóIa òÊeü]©¦ü@{­mÃ,§åçtÔ‹ÓZ^â4¼ÈÉ[çßfd0\ˆí@\¶¨Ô\~³ZiÈz¸ì˜ØÜš ZÒ -ƒhÙBa5ì#€·eÒYJŠ/*Ðă\Ô2¾bFE§Ó¼´sX] êÁ9„Ø5+äV[,+Q?’êrØp$ˆµa´®²´CZ* v£‰7Ïa¸0j –$Ówï…Ä»-‘Fäü :u†J.JrÆ°ßÈ9&Í\'O3ײ %hM&nÐïK†V/‡,"Ú_uŠ)vÕ_HÉ’)o„AúŽ£i.ˆ† è—íÄy ™~[ÉÞ-cÁ‘u×ÁÆ Mçy4nÙç‰EØBîM¹9×Ñ` RïQòÊ$²Ð )T ¨5ÒÏå­!õr”NÃ~J‡r»±XUÃüTi¯˜qÈptÓ`¢Â)Oë3{úû&þ¦0Õ]ôƒËŽ–kÜ~®RYãSÛÒq«Œ[àgÜ`k¼ƒ5F¡îtMßp]Pv1î†"€—œè#\?Oz FÜÑ$1ò¿Ú>.Ä¢Ê`ÄIÑ/P{œup6T”À¬˜±™¦µ¨úêH©ÙüfK-Æ âÆZÈ̱纓"ÄôçßCš™ ߪöÔª$±,­ë欣ÃRg/]»n ÒV•½ f_;Æ>é¸P ašÙ!ñÇD§~¤ÿV$[C¡ïˆ­Ô•oÜ]Ç9€ióY©ÎñËø<_z®ÙrYjÇ´¯w7eîecVÑuGz³õ:Æ[Þr´C¤v/éç"hàžc±á/¾w>â1Ë…çi ‚ãLøkí¤DT‘$ìHÂïŸñ‰øU:ziEˆ–Ȉ¾+·‘6é«-©œþ/(ôÕöÌšÌ6¢ãk¢h@•-çN1D¬ÖûNôàç+÷LÑWJÝ>ÏU ,“W¶$pc¿Yéù’ÄŠÂáÙNŒŽìzñ#Ÿ×èƹ³UTþc„R Þ`‡Í6̪›pã¢ø«;-1ˆ>+$=1sYgo„ËG\¥X^ÚvÊæ\uÄC3Ë”éMG_ØÜ)j € v˳{ºƒ{žå!›ó~ËYÆ’õ+¿¤eÅ›ÞLLÝJ“¢DÇe§€‹©Æ¨@8l%Œ~;¨˜y†ëÞ9SË(_Ï­íÔ  Ž‰<Ö½ÚÖ[ GG“Xœ0·5};mÏFÌ×)¤€Û›^®š™'Ù›¬¯úªºÏ”øÙ›ù$"` ½µ `Et. ÙÄ1s#ýž¶t2KÞ•zÀæ\«ý\Œ»-Ç$ØÓ ±‰_¼‘åbɧ D#Ž“¤2ia=ˆ˜Ÿµmè¿œ§¿½36¹T~ïs—zà £é¦æ¹´#on+S›Q6#ѧ.9n„ô½fÜ$¸y©tnÄ­P#G~ZõXßBõNÊ°tÛë® àØÄÖêÈ\²ªÛ÷‡¦ª#†ÂZK¦-|Vnè|‚H![Ø’éÂsDvdÎ[‹¤…G¨aH§¦DQÆûÕ€˜ˆv㇠™‚d×ãr»C‘®žÏ]qC³™>üs®ìÜÙ”7]öU…ˆBʬßÈ5L)¾pÁëŽndÎ}¦™~ï"BÖ{QÖŸîûsc¢o¶nÊ~˜Ž·<Wyª'jaðèM¿ßFq.ºw­«m¯zÀñ"£\Çä{žß¶j’š´¥â¢ m’«`çÜ0ª¼À¾#Ù„Ä÷Íg‰2öa³½à>fÚOÑ‚Î@ŸØ$é4W\<ôý…¹d`ßäª_Š4ÐÅD+ëˆa ;P­Ž·ÓåþàI˜3ÓÞ"îÒÌqÜòñü‚æ·IžBóÙБə~ †0Ø·gÖš'F=m¶Ô¥J«ÿÎ3|¥ØV6ø‡Úþ‡òN­‰ Õ¯ûÞô!*!m0-A­o*–ilÇ (I•ËÔùpn BÍëKDGw}3~óãz)ƒHw>‘óZË|¥ÎºýÛd% U†[!¨††=û{÷£:¨Û°}åI°ÖB)Ìÿ GÝ+;E|ïIf¥cýž²…À1)w¦HÈGÏzŽˆÆÑ(ûþûØ÷ü*±Oß{ÓqV­ÐZä;9šT]ßñÐäVÔÔdâ #ξˆ«æ3e$YõY‘§VØJNU4×~æZˆB1¹óvê çVYÄÖu!~ßù“cb°ãp ŒÈyœÅ½ïÐüSÅTœ“Æý˜\%t‹S…|jŠxºœÆ”Yzb;Ó±øÞiÙ(®J‹46z/l)~¤/wü"õ+GeÔŸIÆA,Â+ÔíHA‡ ³Þ¶™FŠ¿û×âF¸ ?x¸Â—ž ü®ÞŸ-Ÿ̌vÞ¿‰ÇIzñ.jèÈæÜ·¿‰»£Û;`5²Ù+°>KXHŠã3œCm—Ë»¨T…¤ «Ôž©l¨D¡Ë‘LFv™›Eçß…íéCýOC±¿Ÿþÿ†¦Æ !Šíæz½åiôˆî–&fj"D‚õþ‰ñ¤v1×Î ÍÓU ‡–®%P­íýzEI*€€S[ @›:µ3ØíRoÏÌöHmÏšª™!bq¤Ù­u¦ÆM|~_ç9(bWãZK,V ŸWZNñ!Âüx¨ƒŸéÏDeœßó‰Êi Ó3RC?D²eQ˜Y¶˜Nì.oTé› &1eìÿ˜TþºZŠ'lêªÉj5¥eyjÂnô+Újã‚ /+_žÅ­ô¦#Ú)§š<@t_€s¬€@îWU¸•¶{®‰Ü-újC#g|æ N?U‰ÎÀ•€õUKâdj¶gvZm}Oi‘ŒRU…È=£±n·« ÍíéT„É[£G Ú›2×ñ¬ÝLxÿˆÖ±»+Œô,µÎ¼ï•<õó–úƒž.I‡óY.HF¼‰ëÓÑ==ù•z…j窉±•|ZÒÇÉs1h5Â;¶AWX DFq*ÀÔë\ÿ29\#‰òzÔR›Á™g C·±ÀB¼}Ø”¨J³¥t¯´§èÅ…Æå¨/Ò˜hO5Eç-…XÖ^âÀ–ÃÒD‘ÙQó˜&{µ¥-cÜ®£´¥Q<µ :þß;÷úiB*œ€³pÔ˜™ÛÍO»ßé+dªTx>Âyʱ\7žë’mx"b¶$ ûÍHg½;º¯×"G„nFêIi›èZº.+· ŠÄÇŠq ©€n»53²–D;ðð†éx%åð){†qÿ­ë§šPÁó52‚Z_4C•ø·©¶èk-„{Ø—mU©Ý˜•ñWQv´8:P ‰E·ž£Tá[:z\ÚmnÆ4§·¤mÝÿ\7ÑpB»SÕ|¤£¹½‹w…)"’v…4˜“²ñC;NÜøauf#jÍnÝ-ër—=f$qNi¶gm-nõséàDB,mÑïô a©ƒ<õ«X™÷:-žªªóüc€ÀšBvBmPíª›.Bc™íŒØ}-ì{ŽQ¥mQwŽÚ=U‹òÀLrá/íPÜé9„*1•×ÑY!j;—»—'Û& éÝ–>E PdÇn%t–혆ó íÄuÞ„‰ßìP•Sù‡p$‰ò¡DŠ¹9Ü<Å}y\}<2\ÇkÊ·qâ>ñÙüq™®òöå‹®0ñ§oå3œ¨ào¸âÚ1ºÇL)Šül/ <7!ú:w*à¢.„6)"8¶¢ßý h²¾Ê¦jTM¶'j©·§ªV¡j­&ÒfðOø5ým‹S ìCÚnø÷Û´Zh¢vhø²å*2‡MŸâ9}Áš‘Ÿ„mÍ÷y›ÃxPH*ÓΙËu‡šŠà×<õy,8~é†'äBÂ:Ql4\’¸ZXú½JeÔ§4PFLj§©Ãtû,ràŸåê<jÙÄýìt9<ü O‰†KBC2$*ž—j’¸¿¹ÇˆN»Âˆ,ƒ;Ž>wõ·ŒC}‰M˜IÚ:äF—#lqÝ«® ¨q[Š°½óýM†àÒB–¯Ütt€OÛ¤Œ­M»£U¯8æpøÁDUuNZ 5Î'æ\(L9|,ûU0´¤™)[«Æ yȺ)ëL8þ¹Q‰·ñÓ]öâGD‹6˺¶³4 €96ë7¨ùœTKôœšvDä¨ïø£„ò|&¿tLUN7Ѐ‰Øâµ¼íÒûO _„óÅO¢Ñ—(Œ6:Wc_dóP˜ô7¹ •Ïh†ÑÜ)äg@õÀêí›m»=iBŽ)IسÕ?é‹Ì²!Óy ¤©âñ¥í¶]F, –M¿1w÷@“ô¾XÚóa±¤>4ágòGçȱ¤½ïT‹=ÊÙÔ¢4ËÜäY´Ó‚>÷,îY®EÓ2ƒRàB.3ÖH¾œi`î‘ŽX/,ij2qä2¸ED˜ÜlÛŽòå_F/±~C[/êu$Þ«¡—¯e4ët¸°©´f]a™Ù ¼· ·V!ÅíFËJ±ùE­˜Óf, 2cJüÓOÎ ‰ §»kCÍÇÙ)D`F †ë/Asý€J³g:-!pßw*Í{N·C"¢.Åú'¾Öâ«Üñ$WSTuKÝ‚9æ<ô* `¡$¬6­³×ÐçIßQæ{p;"h|Ê„ös_u-Ø’g²Èã.Vªèjí;Õ †á¼‰¹˜A”é ®v¡8Í—ÄîvVöÊ·8&h”’C=)'¿•PìvgÆ JK½ã´,¤‡ãNb_å@ézs‘õJº ¼‹“ý(ÈEöœ=,Å‹h»\î ‰°È~hD±©´}­mgù«¼“võ*Ñ ÖÒÿ§ATôX =ŽóˆŽ¼A‰ZÓ#à×VA¡á—vp¸qn)Ùž/àߦ“L“§äP¾É+”Ú¸fIâjžõ—ÒîNσÌ&ñ?¡¤óGAá'=µ¨ô«hÓsnyÑÐ÷•OÐö!Þ›²È—ç‰ë)é’#‡¿„زkžÿÞ†sùÒCŽ4rÿ³ß]X¤ã÷@ÎÐvR¸yä\Ì©|ëc=Faø™úá2<íßÑá“Û³shI:p¸Aqç_éõZ-ÄiRŽ”B€GûˆÛz"Þ¯ÅCÈxf!1’¯Q“ðTy?Õ!ºöظîÙï…ì…£=…ËÌ%ÌÀ\Èfšì” RòÞM°ÑîÒ®0 çhLŒ).àÛíõ¸àÓÜ’*iÁ{'°bîxŽKˆ¦xYØ`ÜùW˜(œ¯ã^©è!…#€™HDÝ$é›"_vÈ®¹>Òƒé¯É/ì2JU-rH™‰Lt®’"ÆrÓ±öøø:Ð1Àà j¿¸Ú¬12гçDj‹·N¢ýîEìôÐs­ƒwá³d™dÔÝ =öÛìØ(×Ü Ì×m½0¢Ý[åʈW¾ÀlýÇ„s%{Ejý ¢8Ñ‚Z²‹¶N’ÎcW:Õ¸ó×éØñ7÷85Ýy'gÏÃÏöWÏ(¶YЬ2`„ðúërx1õvK­´[ È_P­4VÑVþÀÓuÕb%µ2sÚáÍœ6Ý­NEÕß™ªÒ»r6¶ÛèÝöSøNÚÖråg)Û¥$qz¢U;g¶ë ÍÎhD'—ù³í®qd$¼ëÞÐAƒ¸™PÝÀ¿+>)@mËaú4Ç“ÄñÁ$x†H1'¼Ÿ€p6Ö¶œ»W[nÀ¤})¼MÕ\´Qà9µDèæ z^õR h¹$|;“YY!Ü},ñSÞ}yê˸;ÇBĦܠû:“’¶xN\YÄŸùOˆªÙ–ža^U:}ÕwñUý ¢ÅîõNo广##Ôœ˜è„( ²=(WØh= ¯ƒ‚H ¬‰Ôéïz.TaCÙÎœ$½Aaù½§“à…X§Pý˜×fÆõXtÉq‰QtÿÒ÷‡’…Rx<ž¡äj!,jŸu{±SΖpF‹G—çÏÛ-ÕH†O;~Hç]PYn :$@U}…ð€­«êÉLI»xóšüoá]÷T:oÑ°×FA—'™£›é|*bË‘à›º«*!ÊóFR;ReÎw|T×Óìž{‚›Çö/~ X ½ò–ÏQRŠwžló!ƒ¶^Äq–ÔÊS¼Pó9'Ö“a$?|Õ:&BžÄW~­ç}V­Ða[¾¨ÿD:&+ôCØìðÖÒw³'¼w .ƒÎ¸Å/÷V dÐü¯ÁhH“kPäÿ=uÿ,Ü?epc"Drp‘å¶"‰ú•|EVð¸ c%BÒˆÞêø~@î«SÒë3£cÚûÇ» eƒs®=Œ 00ÅûQФš˜ŒEyeÅ+ŽŒÛ{ç&¶±qÆô¬¢MlÙP,ÄV5œHzïIUGñyƒ!zõ¢~n—À«™¸âT/'qó%Ÿ£¨ð߯¿ãIDå0°ô`01lçŠõp™¼ž"dz!É®°“ãÄö° kE›ð}äUn¹ȼ™f¦“ø–•FÔ™ARËGäçMR£½,ŒËuÜqÓ±rÓ×@ýŠŒ5ÏhéÕ½RAˆ\GÉòWªf63òîXÛJà,[‰éÃœ Áþôh3¹«3XóÓÜÔ眊y j[héŽ&ûhýøÛˆTË Ç^÷D ǬtRü¬2VTœ4¾a•‚] j9#+#wXO>Òz$¨Bþ—@îa¥ âF[c¾gS_ Ÿˆ)|3–hFKO£´¼HýLˆÍ7AÓ‰á[:!+0³'îÍ4W»íA2ËNµŒ ßm&=×…v‰=o•E£g€ô «÷†§ÖV„nFâž2y#ÐÚˆQ áÍâ:*ºõ˜"ÀÓÞÚe¬uzµ% ì¢H· ¿ï7%‰Æβ؉µˆ2$ê¬Ì˪᱑VŇLf›Í|ôáÓ6õØ®í6÷<à,}ñÌ©Iû¶Gtwrj Æ}ÝóºOU©¾E3l,qÞÏqˆï:׈ǎ™¨ôË9mÏÏoñ‘æsÆ™{ÝQP= íE4ÿK8â Âð¬500iòì*aþ(Õ6­tQ`Ä–Âëºk%•¯yÚó˜@F[r9s’0iÓt¿!×N¬eŸ øÔ8gè+vk6ï…õ¢äòlSu&ÊŽ…D‹V6ÍÎú|ΗŽ¾TÙ?4MÄÞ–c­…ظ©€ é4òjGøxµnCÖ¹IGUå á> "8È4íS¸Ô–!}ž‰ƒ¶œgJùsra¤Q¡¬­q(¼.^|‰ ƒ³Ö@QM6KŠjkþ«²%#‘ΚwÑnv}&k…bY‘p2°•+„–)‰ CT'£'£×@ŸÃ—.ó-“šmæQ<Øö€G¶°új^¸M?æiñýk3wX¦ƒÆ cMÑuÁkJ[IòB#fõ‡&–¹áX¢jÝx 4Zòº°òÉ1(’›}û§o¿ãÉ´?›Ô÷Ô6ͤƬj¶rÍ4hßÃIWêjNò¤ þæ_í#,mÂ5ë,/µ®…8VEæií„ñÒÆðw$ãUgwN˜Ç³f<Σ·:¹ä»‰ bï0@Ü›Uýø¥‘iõ´ü]üž€îàòäR‡A¸îȧ٬…¦¬Œâ©‘/¥Ê&ô‘*\s¬b¥ áÒð“$“ãù„RúwÑ"Üã2‰”¡4` ƒô)›l #Ÿ£YÑêü.«+8Ýš‚Λ¡#Æc%ë›. ǺgìÀ_–ýµ[×<ù©*DœŸ#åQšÝšBû0éÙDUrkwDÔªîtÜ•ûýµ@,u—¤UþaÒF ô\¨=á.% ÎãÊñDÓOÂÍ5͇jɽ÷ó4ÿþCn`¯ŒºgûÈÐ<%¤ßZ —‚Ú¾ÈþŒDÿºs‰}ê1 ´}Š4ÙåðŸÛ¦nmçƒ4EøvKÑáLý&HEí<]ªŠ·ÔwZ0· Ýk6ë~wK2•Ðe˜úwgËz­fºuÀFû.§º•ÿÛ‘a\E¦sKgÈ}Ú[º›Ñ}þÒ?c|á,çìM‘=ÃÙÒ­Äó¾O ˆàŒFFRƒC€iØG*jLÙ#ƒØ¶[¦Ø¯:f"Ó $óÛªN`Îî®b5,.Gõ,|;<师|ÛÖò›ŽÌIŒé~pËq \9ƒ6Éà…C†XýÐw; ì—º3<ãɸ °s‡É¬¿1л¥“¨–óÄ1åOpŒc¨Õ–orMLÜð Âÿ+¶UãLŠÁ,˧(ÔÊÀ­ ynž7FŠsMneÁ¼*aæÅVÜfaÂnL’+J,Ñ•/劊“¿ÀgÁc¯à(•úÂ=æÒÜ­õßV¡ Æωw&öB!Šþ ¼ Lÿ÷À£69ÃÝó9 év¯ýD…,Wv;‹z L‰>Éþ‡.w>û±p¹õõKÁê,”+9tdIF¤ÉP³Ä܉·E6;`%Ù\O¹L‰A¡m#Ì:ÔåT£†×¹Òñ5ËH)n×2 !pTþ}g[‰f‡¯˜¸3ƒéÊ;äòÚ…jª\à¦Ý~Žˆ›ŽWBpIãbîç)ízøOÄ7uWMÃ;ße2W'ä ïŽKè¬pÙÿÝÃÏ]ï"¬¸ž#è÷f É›Ž ´¦4‚q•´3ýX%OK¨4s\Å'DF÷“¹f!›~à±”zœ7`G{ùuG€OY>ÆwW—¡hÈýHuH^MŠ/t/ðß4?é”Ùý¢Ë~ŠŠ9‚—cÄÛgI§´(‚âÖeY;äþRäá»oÕîvO‘b“Ñ÷¶]šjb+>sTŒ[´•¸IK_]ï^H¼ÞEøý–F£eJF3ÎþAZb<|Í9«ÝŸð³hÅAè3¯þE¾û†<‚"‰„×ÏD³7œ?`Gð2óŒÌ¬sm™ï³ˆ¤‹‹"XDG$ºÛm›¤%GJàØñü¦3×Ȭ³¢ŽSòâvœâÿÙ¶³mF®+Ô` [â!êŒ_÷#>Îè»ÊâŸý[—â4ãW:œ1‡ÀFêù0S%ìI™yáë²—¤dŠ4 úˆ(\"À©¬m†yaBŽë¿íFS$mÂQ ñWvËǬÅ|ˆðT#nb¤Ú$†[LDiŽGÙýùb¢.o:–µÎY7ÌHp|®€¤q˜ A×_0½à0*¹ Ýç¼Æز”’–ƒÜ†Ù÷$Æ {‚|vÔ> ç˜âh ã¡(^&jNkÌõ ™!.ñó„ y¥2‰tòνI™›Á„+&‰|Q!SçÚy%ßü92ª¹ÑÞ£h o¶+HN‡çb—}NHº ÇŸÅ«ÿÿ¾û@„¨¬ü¼J~þ°Ãvá²Çg¢Ç–³ KÊ]}»À ‰ÕRö›®SI½à?¡ËwÀxiò!0¢Ÿ#›ð…xJ‘éæHe’ ym˜„˜>wÒoÌø{2½Þ%œ°Ÿ ÃAØÑP}öa»;ž£bzéJoÒ¡xþ¤CÄeþ‰)Úä*·­R~ä(%¢Ö†‡oµ¶7ø…6"éöSüæu;ô@ë $ÖvÞ.ÌÙj~9\'O£FºŽêB× Ho ‡Ó§á?â:ç2ª”¿Â‘.T“#ÒÄå^Ë·:š,ëI¬ýCÒD¸*§üúízžÇÓqW0@&‘ù M€3àoh˜4†.ÆÎ]#‚C‡qÁ뜦ãG­@K×r¥6ÙÛO£êá¼Y&;OèÆñ\«x@HÁŽÉ×*×ÁsÁ«êIÄ<«ÊºP¾Çx «y1’Åí/¥Yí¿ÜüÌ7³ßcVx¤Q„)¨âq˜]ÐìÒ¾‹´Í–¶óx÷1jÑü±{§€4këL¸H™8[\—Þ{¼iŸ®MЧãÃM—¡–ðŒCEš¸þ\¿ýý'´mp|0Ÿk}Wj %b5ÆEç ¬±J=’à)%°ò›2©ÚŠžÂÖV'Åþâñê¢JðŸAžµA58 Q‰c;«é1™®;Rƒrdo¢þ“ÄP÷c‡:ùRU}Õ ]$,$xd%oÕŒF€lDN9¹°-œ‰g=sáÒ\a[L¶3l}{Zv³%¢ºçoÚC_8*Í{¹Vµë† á{Ï1‘æßòdI1ŒBTÿߎ_ÞÜÌæù ØO{ÿ ð³·ŒöŒ3„ªi%ÇkíUf·À¤=û¥i“‰bB\‹”*%ÉXqÿû•+‘ÖÙ¹5ès€Bz‰W‰åŠ#½)¾–C8óæ¦øÕ@ƒ"(rä2ø06Á¸\m'}šwl»)ÓŸ‹ðà–AŒn;Šj1عÚ*/(™žËå[`é«ìL„¨l:.Pº§ŸôV`*ö EÖEò ø}SÓ«‹NiOש@@ ’>Ñ‘ÿÌ ±=‰.è>…Èt»ê ñê¿fÊ6«ƒÇ´õ4_ª!iE«ßFFå¸Ë÷­ÈŽaàÖEJcÏi:;¨e˜,)]®–êºì9ÑgèÛ)Ư¯“ÇÖÁW¶‰-ƒÞí[éùçHµò;°›hľÑ2ä]þÊDç}Øi¡ðËž‚¹ò™*Pƒ®p_eßþ÷÷Þþöûï¾ÿ(þ[ tW÷ž½ò*M¥…’Å¢Ñ •Y[ʧL‰/nñ&Ã{Œ§?ðtŽðáx":íÛclÝwä|ƒÜýªš‹C©¥¤3I`¢aV:Léxcs)œêÓPxìSæîŠ%g2W‡} )îepðÇÚ{L"‚/ ;Î ˆí$û’Ùt0é!—dà‹¾.ûü0…“½Âƒjb \§†eÌýœÉ ëL„'$¹Š:OŠb¡™qisYع/d(¦¯9ד…è»VÁZˆ‘ˆÎÝ;®åîCIµ ÉÁå“=êò¦5 Ï‚ŽäS]IÈ%èÛi®#[„»­sÛé¦"läG¾îÈ?Ðfj}ƒÈ烀it)E ­µ'N›Áˆá¾Ü„áG?lSŸPÏ‘8ò¨á2¹â3™Q§ ÒE´ËžMßhxCfÕ\öÔñÚW¸-æþ?'Оs`É™>Ó&³ðú8EžÆ\µÔ÷¬l‚|©p‹}‹»]ƒðþ]™G»Æ6ÒzƉ†EË•a¼exjœ¾-·T ê#W˜.Iø4 }Qcƒ¾|M)#%˜~ ]Y“_¤ÞvT… ;®­UÃäh¯,Ë êö¾È]» Q-‰üì}”)¡]F&Ã1Ãø žuf…Þð)³‹ [îY‹ÎRr,Iy³~²R…,v7 RmÒ 8|54H SjTADz¿\ ÜaψjjžƒÍ 1èÃâ fÇjŽfµ  b2DiÄ Ùó¦(D~@Î,¸}húY+"…7[¨q=Ó"ánÓ)ét0ÏKM’B#N0>”Os3°Ÿ#²{7Q5휣ÊIÄSƒˆlÙ¥;~èµÈØ“%2õÈV"âä—*W™ÊÚ¡½yö“D°Mp¸ÞB{n¼¿š­âP$L³#Süú¬0"Ï÷½.#Ä#O?ˆ`=7ñ´¹ŽÂâ94ÿ_7ÀÔ­V~LE)ܤñ—K™ÉEÞ ¦}›Ÿëèâ/1ÔÍØ—sOìºÃüC²öY?…ös¿A8ðK›×ÿFe?Á‚\Ž‚V€9¡4àÄ\Ø+šñ˜d¶‹á¿Û,It¢ MhŽžÏì9 œá¿ òÃôªD õ@ð.ÞyvÁßV…"^®9ëœZÍLÀ8Ýå:ÙŽ‹Lê愶ܼ|8°u6o=«¢?[ÏØ¿uÇFMƒ‘ðÈß ä½Æeû7ÿ”s7pÚH¼Žòè¹ paKö ´YãIäÍÕ¥è…ïYŨ„òÀ5Œa£Î‡MÄml8~) C®Dv$¬_·÷ª¸Îmˆ|ز¹²YB? «¼ÉzùÂЙ°?˜`;)mœ¢ õž‡üÕ¯¨ÝòòÝ£^gsËć&;_ÝËÖTûzƒˆ¨4ÒÁŸG•ëDŸº³jq¾6(ŽˆûÕâxQÕ q¯qð~¥Ø±—ä3ú?äœ3ßo…´-á_wMzüìÔˆ7±÷Ѷ¹¦›r8. ËZëFû-ñßø°ƒ |×’2ŠÓk}îû?„²"ª2Ù;mNM,Ö|m·ÙîkUoëí‡ÎNnú&™â  w_2U š–ÁkÈWCSâ­>§ç „gc„ù×ô50cJÂç W1p¦„¼À¤WÊܱ_ï"Š±ŠTàâ´«lϾO]Ò¾' ³›‰D6Åè‹ìý¡šˆ§ƒ}g÷ÐLyƒBÔ#7˜¸ Ë»ÆtÔQMõP“r½W˜Fæü_&lIJ×ñ¸_ ÙÖÏ„±ì¨_gGªß(;·ÂVËaTî¿Ï‘ŸÞr¾G…¹$Û&éˆv#kônU倨Û¨aDåòá1Â*PR•¦Õš$4«&©¿J“xØ9(¯0i7~Ê[L`;ê˜tæâ8¶> /%ú#$œ³ü†P2à0Å Q w×nË}’Þ_g/‘§ŠSk?>2fLH¯¸Ï„ ÒtN«]µå2dñ‹1F”ê›Âè2´k|À/Ìß‚ñ¥c0â>‘ 6AÚ÷ƹ‰ ‡w¹WC„lT*ˆÖ}/´¼†OtÕcÜUàêàT¼ÓôÒ l-´%c³}k?Ž"ªD¹$4#ÅØFæuf¾ž‡eüRã6/$Åλ+<©”â!nìr±Ÿ±‘Oö…#²x5]$;p¼Qˆ†þ˜:åâóªmDl/èÇ®%´õté \ ìÌ’¨÷QD Wû q矘y»4๒©Ç&‡ÆýŒä­D_»É¼XüCƒ‚æq‹ˆœc¡Š‚ܧ#æ…þŸÔ71—ù{Ä›ÓP¢4¬¢iôù˜9‰>UgCCÎÔÊÇÅ·Á’6lËƺxø¥ ‘ÇÝ躭<w»(XR#Z€Ö¸ÁðÎ %jVªÒØC é±Æ$lÂésÚ€ÃÐ5ì¼êäS>v°øHÉ4éÙzlIØ#ÂÄ.ŠåEn+õ8Û?φ®ÈŽ]d »,–éJ¤× ®Óˆ8' RézK5m¥Bšçù@c“Až%½Šú ™(°Äk©]-ÖÿøÍvœh 礨!ƒjýx¡ðÚ«‰ÈU"ÍP¸<.bŒL3Û~j£ö×Ì¢^|]º8aóÄ”,éÞÙï²ÝF”¿»Ëħ¾ô!&Þ?š©(qî!m?6ÿ0i‹I›Í—†ëá„[.mœÐ z•Ûe´êP¯í Zûh(Sxx¢8lqà ÌàVÍ(H`èò®p#‹µVhFÎØþÑËUÔv©[±ý¢QÂ:ÃaÓ5%ƒS‘†5üäSüý5> Çø³c0:MP<›G¥Pà´•6~Çôtç>m}BÿñI6•™ìÔšlü7cïJ©™ÈWœº™fK™o# 1æ"Ç1œC¨³91§Â„p1‚³¨Ðçã¬+¦&x9q× _ìÙD£fË~ BjŠ3hU.¬³Ù,§ÿqobRHŠ³ÛÇñƒÐæ@’žbÛ ¥&¿9cq@¯¤5d¥nN,ݪFWÐ2é«oè䯷_)nñ4?7ºR¤Ê¦¨Á G t“>¯ º®r0é—¤F0<ÍþøÝŸâÒ"ÀrZå/›rÈÁºñHÔâD&`7œuB›­Óƒâ$/ES6óZJÆeƒÅ¶\‰¸ñh0?Ó•—•ò¨3Q&³©¦âÓl 0»êLöˆ8À€o{ª!ï­5d/_eŽ”ü]_Àúp8·¨~9€¦ˆW¾ÑÒžç1 gD¶F熮Ó.û»œ€Âáºg0~0xÒÿ“¸ç€­5úŒ´Þl°¤õm½™Û3¹,;s…¿í™ÞŠÃ³.®q#‰føOG¢5Ö·n“+uÈ`ÈZu%±F6ÝOVV ¿ü‰È‡¼Ì¤øMh:ÔfÔä§â½Uü J‘@O¾ÉEôýÞ£ŽbÕÕ>ÏuvN/_žGýk‚ªËºŠñ– ˜:í¼Fµ½!b=-I.C‘áB à®ÏÈ‹_—´X 㑇5@…†p÷éXâc׳ÿ#°Qà;™s‡¯m2N¯×‹j«ôýfwÁª‡Î—¹œÝ´6 ”ÒCuGZ™‹XÜë6u-üågºBø™nÁŸoFp"H*‰>ŒÍ;UÐMIn(ôù0f)âц»Ä{OTͶieôùR oaê>èÎ0–(¼EäSÚ‡ç$yœg4[Gé‚fç<ž÷$«žëA¸ÅR é±ßª" ¸þûî²ß§cáéV5Dt­æ´%™ý9ZZÿ³Gôg˜-Ë~Ñp–Î÷×äé ÁäW†¤®7ó‰È¾»æ8ÿ°8@]¦›.:l§*ˇ„Ϙ'ýè˜k‰¯|ÕñŸš#r?R2F3Û¯¿NÜlž|šÅáˆ{¥ ‚Ü8Ò1©¡´ÍýOcÎ!0©º}þýÇÿƒôÇYæùÂýâ0¤ž·éxŽÎ£׸þ‹´p¸$Åo¸i[eǃ Bñn»,ÿe;$èõTˆg¸åx ÷ŒÇsI÷yËzì}ysIÆp@]ã>ÿÓ¨i0¸_eR_Dú¯RÖ˜’wžÓõû¹‰È7™rÆX\¥’%žéÆ r$¢[6˜TŒvÙ™üDìÑtyARv.ÆŸÈûF£ŽO/À2 º»$Ni,eò±j©B­GªŒ½¿É\ÒJÅØ—ÛõÈ™ƒŽc´ÿ/ñÜýá B­›¼b,cäÛ@Ëõ§¯Ä¡—é5ƒ< ä­–úÂÎuŠîðƒ gÊ–v, ï¬GâL}7[r×3ÿiO‰ —®…àG5L>ÿ¡ÇAñºãhE[Æ{ïNÐÀ¬â },æ½üû&þæÑG¼4"ìöenÆüÁë® KȺÂ4‰4Å„W1®zÍè EPÊ5O]ü"é*“8Bõƒ”L9ÔðWmUI·#±žŠ’œÓ[¹ô<§þ½”q˜Ÿ%.Möõ–Ë“ñp(ãKGo·ö¯{s†æÆïؼO^0™QŽÄw:!1$r• <í""â"Úµ–ö.쟿ê=Güyå#¡óÓ–¢Þ@㺗Z¾7Áh!ÓËZD­ Ó£cdR¤íŸ€'Z÷30²ÁX~‹Iu„¦Ù³¡Ø^ÏÓÛ²¢ñƒ;ú¡VAv¿Þ"¸0n§ —žàIßöuzëü³f4j1MH÷àI`G; M¯öiOªéiëªke;Fœ£Lyõxçq§S½UÊuO9R6”+¦s¨›ý–ù–¦ÖÐhÀþÙŠ#Òø‚1~­Ç]-ï ¡ëuPhô›÷ð¿•5„\y÷°Xd5ˆ`‘Ù9=¡£9,Ã˽~?;‘{t¿¯|”Q|¨ëDÅIMŸzÔ‚»^êõÉü½oþ{¯oó¦ZÒ'B@Y…hˆ¹S|ð—ÉÍ<ªרs‘½¢³5VŒéÁ›øT¸Í6™ò‚qþO {Æùù¹iHÓze±À.†ò,uÄ.g tA¸Òt¥gó€r«Gj°jZÛØí–-ëcb]ô÷&þö™q‰Ÿä 3D]‡L@b¥‰öšOAŒ•:\ËèÐÙa*½ÊA&ê,Š|wÁaF¯Èa«Ô…Xk׈[Ãá]ÉáRËyõæßlO¹cR\Êh¼bÝNÌ¿{½AU³ôÂ~!E$øNŽÏ+×tìøo½á/üu©7Djz-šïD’BÏeÁ¢Þ r°)"Lfuþž±µ‚™·7TCv·UV‚s}Ò#þ7_Áµ!Égþܱ¾b>TïfÓõ9P®7Ï ÏhÊù„Nž˜èæè¨X2VçâS3¹U“ž•™6[s9ÕÙ±^¡Œô×âbËö¹W^ëc!ƒÉ¿×ð7müÁ]I‡ÔÎt`û—A˜ç*y€*Fõ”QØô7éÏ"« 3ãœþ,~3·™Ê*pD¬\‘£ÕDõuÇ|äK…Kr=y¬û1&—âzmµK ª÷io8‹:ÒvohÇê Én3z¤r‰2 STZþ‡*4ªÄ"!YÄ‹’ß·?*™Q+lÆœ=j²©™j“¹Èò8z•¬-K3µnMËôÅP’OûRUŒw-Ò"Ìò-Oµ+Jâ„|Yž…kŸþ[ª>"BOiìbaÌ뽑-7›ÛDu³7ª—8«á6¡ù±¡>îÅ@§›½±+5¯»ÁŒàHÀésÕî¸'É~º³ŒÇH+ˆ;O8Ãa¥FÝ>¨¤—zckªËô%594ÛF,âb&d±Ñ¨ˆn‡»=Îÿ§£DçˆNì½?G"Y¸±­oE{c‘—›¸ÃŽi¸P¯ÇvãéºtÁXÎ=HUn‡Ñtw£e¤ f|®§M¬0¹Ö›@J@ U®ŠÖ~¿Çˆ%Ï øU“¤O­ƒofxW’)ÃLþ·^;`[=“!ì™1©h ИÐHs¤þÕXõµ|¿Ô3²ù—ûëͨRSŸW[#5¡øv+W35ÔLÒ»Ètí”fŠ`ãhe½Ò3¨î¬ûqäI/«&‚Ì]'ÊHç5ì.Ñ`Æ*;µËvnSÅ [Ýà“žt‡ËÆMn¸/ç4lŽ³‹µªHµÕÑ~ÃŒý+6æ„:ê+…È<ƒèÒj±è[óôÞcgoøðÌ¢K Ì?×›­g9Ì¢ÔÓ†ãxUòUÄ­g:°G~@\Ðí’i,×íЫn§xolwÏ#e”¡äÒIhNIö ŸÞuŠ€ÆñTzß©2YtµÜí1 ŸžÙQ“/Ôö±ðˆ¸è^(·¥Ø P÷¯ì­FTa˜¿ô›%Màç[C›Û¸·™¢„¬˜šÜÞ5ePdo‚RÂ_uf„ ò¹ãÔÀ„a¼TÎpÐÝÞÞ&A1‚›¢hJ”¦ sôf˨lFûšé‡‰°G"Ô·9oè;¨‹˜ ]ôu9F©1:Ìb€.šŸã­¡á9~â¹jè`Êyqç¸?g"iU2€\ü´¨2Ϊ©ž\2`jÒ‚§f$…Ô|•—¥Ò¾“æß@§9‡¡ì‡­ £©kœ¦ßñd‡WëŒWaPÿ˜~‚>…µÄƒr!ÅÀ•ŒWNü|3å²Âe¹J¥ZŽ%n MAÚŽ&±$ïU&$àE ”زRÔò¡hÊÕœB²MŠa_×ÚIq}ÚEÉ–¶d‡\ L,×Ú›f;ôÑéŸçKÒjC>Kaü[ZŒž%­ÎøÕ.½üÿ”=g¯kJG?„)/ >'ò=E­”Ç‘±´4Ó¤«½é°´3«Ý£YЙÒ2Ÿí3_ëM‘Q.É.i®Î'ñ9,ý†„ísz§iHšêãquk•³/]©™Ð5¦4ƒbãÿ‡L²íåÙÖ³‰Þ¢O¤*|ù«=$‰¨Yü–Ÿö$?~ž¡ÂH¬ô@„çHºAĵ ¤—A¦íÀ†Ìá}·âöhvã²þØãÈß•+iÒ=ájZè)ç¡!Y¢šÐ#óñŠ;HNÇM¾ '+ŸÐ¾éjŽ¾5º.¶¼I}r®äH«xjrÕ†á<ì±£8ScĽLl3C *™õy=*†| ¶ž¯ˆ6UPÆ5©íÇøçOÀEEeÔ›=Ô 0ƒlg4R&µÏçC9–Ýö'Ô.£åÛ„E5UßY+T^‚ ˜Ôͼ^UÃéšzLB´ÅJwÍìyn\«rZwL _Z;›Îý@öMÿýÍão¾ù&{»ò³$ôV ¯¸¹îC€ÍRÁë–à6)pÔFË¢z ¬Ú˜évÀؾÈo½?¾Ã×¾CÁ¥ûËÒà¸=yñ÷ìÛo¿ûïìO½§¾ãgÔÅY_Òêf`¹®¥¦q£íRД;_]MÀÐ\Ã’³h*‘¶Ã¥×Ã%ðUP*šÓø‘ð–ŒÏŽ¦_‹{€®Êev8)UÌb£™£ÃVô)áÚ—;#q=øÅž†<›‹h %{Ip:ÎíY¾L´ˆ¶×Ž‹ÎS;un ¹Y‹ê8DZ¶]¼íª³¹®ö’Ù­–H'é&ݱP1çkÓ2râý‚·þ%°:H;v¤¾x\x.K¹ÚÎÆ_õB}JYƒbŠœ†íi4 @®ÎaÛØA+nÔíºFts}~(Ã3ËÞ ž5#„­«éhŠ‰z8w|”¹ã2-vEÐk-CàI©€ÆvLÛ.ýÿ©Bb7-šçâÜGÞ1 'iñvó9)¦j6]\ª¢­µ £+ÎWð¿0õˆ.Zª¹!9âèÎÍ{[ÚÚ)Ñn‰Ûž+§*ƒa†%ž_aIÑ$Õø´WÃåL ^>¼ø - #;q\÷¢é ü  8ç9 Åq®Ç‡IØY?çN Æ? a)Ȉh¶ Þ¸Ì÷irEÝptp½û™`°ÛqΆÒ‰®ãe¶3ÄŒø|Ú!bkÜõH|Gñˆûõ…ýP6Y5¹¢+܉C³B1¼Ðí„ýRö{ä#g9Ös Š£|Òä×¹Øx„ìž#[@t0Ø OI5b»Ë…ƒ W=%úîòô0Ï )Díiú· åbs.å x´Ðsøœ‘)lÛ9é4ݳ溣>'Jš;Lã2µÅÐ Ójµ7[&]Þg{Æ“` €A D¼1½Ÿ6­ISœæ»ðáÜ ¨|ÆöcÜ$u¯ôÙ$.czï XÛC3f[¦^˜qœyÚýƒDlÒ? ç¨b¹"ÀWó‰a„­‡–[? 5!OíyĶ¸‹œò’—±j°à˜ÿÏ÷l0uésÙ]}fŸpVúGá £ k?°†½vEi¸ázoŠì$žožèeõ â *vª:ÝõÿÚS ›rðQUüŒ)O£lËCÈ«%ÊïGWt¾8EöåIZ¹9Rî²2H£7£É< ÁŠÎLM·Ÿª©‰«ŽäN—˜¿IMû™ä åµAQmC›|Q˜¾ æÙÏb¿2å†4í·L1BàpXZ¡ËJi‹µÈ+âfp;¥r ]úU‡‡ñ§5^j„êEæAoÖW§ÐŒ|ˆÀ>í9©KÜÎ"Ý3T#jWÆf3Âð1'j¡¢ø²Æùy¹ê.Q@Þ.É÷vËmWkâ˯ªôö̶#û°¥£ Å ÿ–º•·ï¡GsŠÜG‡Ÿ0QF¼á5ÏF•Þ°giåŒY?xUéÈ;”~º[- Yëi>Æfˢӣ㬛¡`eò×÷Ä_¤ÒG1¨(Y§Žò™‰•œÂQZýkì[̶ƒI6.IÞš6]w™…˜RvFû| ýÿî'àjñR9;¬óh}ÅcÐ!ÿDL<ƒM̹£vc& ÉŸ4ßI㎮šì†^Ží (9:µÜŽ. àNÌiÌ &eVР†/²QÌy¼Lͱ*‡qö$ù6ÎbCÏ2ˆÐÙ¿ï!ù?ÙÖ.ãYªäÅ[±-qwþ„Í0Xšî:Úœäp®¾]7ª}‹nƒÊ°¿¶jÓº`,L(ÎýÉUV6À:Äõžª¾ÉmLç»F=ø-¢¡oˆ"ÜÖO•B £nRd¤¨_@©áÃ(cÇDª 3ÚaüÌ·‰H‹ƒ>Å–A3À÷HÁ– ;À½xç¦pvÂŒÎË…·åª—q Q_•ÁÍB"iAu°¶ßvŒenæ5ó¬ VÇûàé÷Ë9ÉlþŸ=IiåoRÇšÛ±^ˆ$Eâù[ecÙÖò²µ*¦ì0š–º’Y¨Éwü…­+•[êb²ÜÌ‚±þ 1“ ÔlÜÏ2g.VQxøºW¨Ö[ÏÏda4«IÚ†>žÐÐQà¾2¯bªÏ˜eæsxUù"ô€oIÝ‹…|îº.%ý”ľ9=Y3Ê…hîÔEÄo¬°(H¤‘¬o«äZ´F-髦â`§ÚDk sQ0t ·Ÿø.mÀB›Ûò2Á{ÔöQtß¹FŇp;ÜožÓH)ˆ`¶½¢ÏYdMïŸX"Ê—~ÀLF{.@Ÿu˜¿Å‹¤Vâõ@ÈvæeÈýùn$?³5´ùT½\_¦"ÍK ÜUmu#2k§¸¤÷;|à’ÈÌ,Óú-ž)LŽW‰d +"Bq†æªPÏfeÚ>2˜B ’­hÁúW"MäÙc\ +œYìà±NN&¥AÑYRžéaìJ øâ;»©ÇˆTÛÃb{³ç"všq“Ží5ÏA¤R|m&í·»›ìÿƒg7ý¦ìE: :4mµì¦ ¡Ø–NASï Gj7¹Ýߦƒî¤†+xgô¿Ê½)¸ÏØ¿ÐŽÆ—‚Ð5È›~Õüý U.d*aä¼ì‚6YâªÜô£.0¶¼–HÎ’×:)cZ¶¤KßÞ‡èÿÞ¥cîÁ8ì_«î\úß´1nŒaˆ…7×#R=>ÄÁû¢æ‹I·+’o†ãX¬¦ÓüÜ7³m§¦‘FB»¼uJ%XKôÜ-­û9˜èM²?¦b|ÂL…iÏz‡m5Ú‡5˜„p…ÊÅÖ ~ÏL´ðDj3ÈuáéO|jŒÛ=¤á(yü?ðÆÄÁ”–#Ç¿¿B1ˆ!üí;p»ÖÑ{?×jOÃoð%8,Ž}\ 1b$ôÌ'½¼JK¹Ýñ¬ ½Ÿ€¹ŒoL Ù³ÎÌÝ%-&.–«žcc)G90"ï—)'Nj wöõ™vÏE9Ä5ÇiÓwÒ‡[YÞ÷ºs6}ëf–:³{ÒÔúêüžÏT™Â•ƒòˆý# …x7ÏèG\N©h¤Éõ6“kÀ!NÔ‰–îxCdå%Š®§s½u·æMÏbQ‰`2‘†ç89O¦raÍEשT³`ñ p6[WµLÌÇÌpºàû4¥AiS°ÂÙÙÀ3 •Ð^™Ø¡ n¡ˆ•:½ð=ÑcîòÒ>È&͘“"ûsÁ.õ¨Ðgû@²ºà Ôò…\ÖBm/¹×=÷ŸÑhŸ%_’Ž{D3ÔVýM¼Š-¨ØקСÓÎû-»#5–·¤ÛH4˜YTPš =‘qãyUÆ‘—…säÇÌÆQ“ôƒ VéT»ïz¡|Íqý˜vÂ`1¢ôß{.äÁ®,2Ö#´ÈJ×çi}+ÜYTøúC Ð1Äö2“&EÃw}ªàGj½â‹Tgg´•s Úv>§›MðOvÄTñþ9þ…Ië@l®Ln5ã[¾Íé(þï8Ï©IâdN'ǬŠIwÀ@x!iË [ÕQÈC|fÒ1¢SÐÊðÃw?X#幬äó‘—ã)ÃdDÃÂB÷¾Œç™b'7C…q"²«Tïç•):²¼ŸçZÏe&UaÆAWM[×] ¨ç!ʆ¦å©.›l¨ª¦ŽIªÅiôdÐQšÓê«„Ñ' ( gÆ…Uq×sæˆÕ@KýVpG\ÒÒ,-DÒè„e£*Pg…†w•1qã +¹EÒW…ÿj‹‚ò:ÄâÞ¾€ÕòþF¼©f•™4•)ÊYNIÄPÙÖO¤MÐt;P3µä|2$Uœ­25•-­Y›"ÍoKû\-ƒh¾SÛGHÎúmi05JÏoèå îJŽ¸Fd{íBÀj˜¢ '}%K"ÀGá8E+ÛÉQR°=~išas²ÅÚ' îˆ{aHq6•}|g–V¼Û°É!8W|×ýÖùñ["´4i‡¯·ñ¼Y†jG1±’>A…±2ºÑA1óº M#ÛkF­æLû!-¢Ú1!eOK5¡'¬•Ùa“/ä¶R+ ì¶ëõ«”ì)BÊ묘fÞÏ°aȽë?гõú¤Ì×4µÞLéK½TÙi3K6ãD¸¸~jdif0Õ›(è®õXKÜAÕ¹\JÜL-9çU37EÚŸe8‰ ਠ㺣ÐÆïÛŽÆþ‘0="&k=ò$ㆠsn\y-ý9 Gù«Õ‹¥†ü@>¤/&p¸»pš£–@̎ΈÅÉ1öÎPøVs~×ÖD9ö^ò Ôy?έ 2è6±a/Åóø ÚÆT y\În-Yü¨^v4[.«Ë3ƒ}®¯ª‰ÂØ.ÛÌ¥ …IXn©”<ëRÍ…ãKP`Õ.ßgK^bθ>ÔUÑÞï\¯CÀÌYÒË@øáÞ·\oÕ§ïGÝNéxm°#WTÈßbŸ‘˜`šAn )ÐÕlünÞ“T„R®žñ™c`ëE0Wíq%†¶ {ăХ†ÜÅ?c‡ÕéÅaf&)£Œæ¾õÈ(Pž¿§-ÎuW‚旘Ѵ·k® P\;«’ßÏ•™ Xd¾¦ÕjÄÇY!ÏaÐ —.°‚V#/_Œ"EªšIk+]laóôZØ¥¯²0€êo¯I‡æbùOþ¾Ö³Ù™µÛÃ3v§góq“kÛ¯ £·)–:&OÐfCå‹žÍPI;SH8¡3‹6½1u¯µ]Æ7!ýßV¤¿× z½gKÃp½E¿Ý¡7zs:Ràup9d15€Ž1Å:3ì²s”ê Ãy©7ŸÐ1×:s—=ZA• ®iŠj¦q:ìyµPc &û¼ä¢­kNBˆéì.øåRƒ T³ÊËpmG(/¡f#Tuq ®‰Û‰´¡ÐÂfp¹‡8¶Ypºß¢6 {$©ÓÛìÐËäa×üŠXSø$h,?cS>€ÿhë1ê1ÕçSê–‡ªê·©… Ïå“lð2È‹FŽÎŸ¡K>Ü5U_çFG¬“yeâÍ7{s’B&ÈD  ¢—àzïg¸\Qú}Me ™sXT¾ùæ›0} ØÀhj ®Ä "‡ýÜЀÓâã.TØNsÍ7³—´úCªä'Dmb’~ØnËlª ØK $ÒayV"e»ÌÎh½jÚÄcøª ê=NêGqAÅS!þD±MÓÅ¥f°d°,B,Øu"VÈ©2Qøz2:üªkMb ÷f¯ì+@ÝÐlDvGXëÔµ¯“ Þ5¢`”¸@…ÀiRÙX:iƒ^>ï• lÂœË.”֗߀*Ú¾á¯Cö4à´ð ¸íÔpJP4×ÓW¹8°yD3û2噶@‡ƒ'i¯ðÛn/øïH&ÇݺNÂÏ|_>J=vÕÓH¢Õy D:.L1Àjî>l52C.RZÅšß8Þ£–Œøpãf?–+ù¨ Þ^³]—{e’ÐD߇:àu‹)¼ø^Óñ#£¶×{HyæxD,ù˜[BäG€ù\ ™ŒcŠÀT9´íe…› Íú$+QÑ•»q²Abëà†@§d1Rç3I|j¸°)’DIMþ©™6Å(®õ’Ëjdŵ5Õ\ÇÏDÛàˆÎ ÄWæ¹ÚHxs] :˜czéëbÇõóq¯à¤eÍòikõèqžÒËåuÇÓÛ(«¤2Ü­óY¬.ÔeýÍïÝK&Uåozæ*Á]Ï2´-ÚéëYn·Üb{yMÂû°sM¯éì”Á´zÉqÚú/ßN~›7ù:s†ê- %ªt0Oh*xèòeb o3u=]†ú‚&V€àî•Éxy†øÏ¡Øa¬¦[•ã‰Æé÷c y¥€ ‹]ŸãnŒèpÇuë;±aÒ¦—­†*_ý㌰ñã¦-šGVŒ5|¯oHeiàzÎvf3áxM6ohÿmÍ;m*E¢¹`׈C©¡2#4-·£˜ÿ_;¤¸¸j„¹ÏæïrbuaW’%ªÁÅW<¤ãFûϯø*#¤>®ÛóIDP½ÑÖîF²u”ØÛ‚ÞrÔ×=õ¸)f‘Œ[íE¬*ÛÎmY<•ü3Ïö'd¨›dçù.¦¨²—UœÀÔä\f l…(Š@¯–³‘86} mf o‹Ø¥Á»ôÅíŸCBÔCnóêyÎc£gT¿¸GeÂ~E¿A5ç"ðà¢ÏT“$»–Ò­³ÎÍ!’SGIYR—®pJ²·À¹ë9jö)À½U6F)óïÎI€BøÒÀã° ²‘¾ÂÍp,4FúIE[°fÈ¡ì¥H¡5 Ø|ƒý§|§¦M!†”8{ÂöÇ„×]+È-G?Ö®l®Ys¬Ÿš±´âÒŒÅÃðè½¼W6s1’¿nÛŒuK$›¹`•  Ó˜Ó‘-€iÊPÑñßzÑ_9h5¡UNÂìc©°Ñ|žr'(†„ù^(©H}&$AU0‡©"JËþ–ø@Qñ¨æ¿ =Ȇ/¨ïœdtl·ˆwS%##tä/ßøNYy㥃e)I€Ñšãªò¼På÷½Je§(ÜÃFDÅN@[ L«„~XWЩNU<*„¶åÐH&«jÂ'®VjºÞˆ°p¯öP?K%R(~¦AK3N±"z˧À}Ð E20Ò3am¶ 0LâÏ•8Œ|›g¹°x~Ê ý/´nºb;.x×dæ¤{!×!¤'M¢|{GòŽÕHOÞðCÉ|gòá@ÁÊ^,mô®¸´´DHyK~«IàŽ¶°öAØÙ³“õ{Þy?Ç£I¾ë=É!a‚¶ÿ¾mÊq2¶-[$^n$ŒX ¹# “”– ÑH°÷lYà ¢é’‹ ¸ÒäÕ:€°·$Î$Óßÿvʪ­5Âß-x?©IÅ·_KÛ"s1)ó•oÊUQÄÝLy{A]o_"*q„¨èO›r¦:×AUN+S#oFÆ ¾æ‡8÷#çá2Þ“³z³4’úªc$À· 0dl4êxbº„Ü‹59Iià ‘YÓI$µ–FžOåIÉÞ¹œtÇ -ÒVet –ëa£Î/µ<Á¤y'Ä=I'íj€hƒLsä®71/á ]ÎC”ª0Iâ Î9€õ'£PzGpè…TQ¥ñ\¬ô qu)£¼KÇ‚.¸+IÎS ñº±tÎKÑš¾O$ÕâsO¹rA6&ÙÅ~k@d†tn½¯‰_Ù›Š¾±Ú~Ž ¯hÏ+9íšÓ(õ\w-ÒÁcÞÆ5O{5ùGôáJ¯r)jâƒ8‚Ñ®4 lÖĺV´XçøFl×@¢—ߺeù<~ÁüL”—$©‰ÑœØ„Œªpbþ†:‘Ï9‰WÒ©h›˜)úÐÔè&ªóWÐõÔTaîöÚ€oFä(›Syå pé<û™*…üÈ5-ŃÞvDÃê‚*çbG¥é¯Î]XùËEŠ›¬ƒMsœÞoGÖxqäd±\­„ vfÅ£¤¡xG[©8#?óã4ôxoBŸà;HP¼ †<5®Pi$HÅ5ì¶lCg™@ ¯TÁ¬EbLNg$ý5eÉfD-v¦ A„Œ¢*a†?e†x’J¿‡X-^º&áçM×;-‹z›.… Ù $$IÃF×Ê·´k¿˜ø(.¤fý&Ïþòç8O‰KÇ\G»ùi2F°äé˸²U¥¿Žññ˜‚ o«·S˜m¿¿t8×u“s;öÙU‹aû†ç•°f‹“†‰ ̬ÅB„Ë-{©&…ø9Hï”H(¹å‰­Ûùe´^]"–ðï£iË…÷µKlœ6~Ç% òDÃ)7.’zÅêDvÍDe/,­‘!#iä°˜0Nƒ¶Zߦïj³6¼W|lÁ=›ÅA’|=øþ]ÈŠ5æТ|ݨx«õ–zlØ’79w·©BrÆ¡™—ѺU5óáy¥GbÀ¢¥“sL`$ý7ئŸÚ’®Ù”ܦ.ˆ˜2,RÏsšÃîýã^-ÀpÝóð€VqçpÍÌg@‡—ðäôYàáéÇZIú¿zSÀ›#’µlÍ”FX=]ç|ÉPýUzm;'™%»_u€ÉÃ(ì_î@(wÛ×z5JÑC¨Ž&¨xnÑã!íõØŽâ9Róá  Ô0ÿ„IPOÏôÚÊ287{l6€ ƒ'ô W—¤•Ñl ` Pˆ!—†.zjšiíF¯†ãû¨é#%ŽU èÝÜf£&šþ6{õ9Ðéø‡T; &©ëµ—»Ûkè+ÞªßÚÛõÎLŘO‰‡`…DOgK¶ri–1-‰Éq³m¦ Ù,MÜŒ›ÜŽ—aLZ¸º#m„«X͆!Iù1gŠ=ŒöÔÐMðw èJe,»—¶Ö] ’É`*§FSÚ“ÒÌÅl(wwÕµ²­?ÝQ’nkÜŠÚ~­B”ïmOýþ{MlL>«ÚTèMÏk£SB`éMÇ ©w›î³¸©lÎ[5ºóZËHµÕ ^.þsþô¸{¤›¿²P¿á>µaky‹@\¨â9ÉŸcGy¡¦Ó˜r´@˜)ç3̤’™ELÏ ïW-Å Cœø«`\ÂY¤•?P· Ý¡ƒë{s5þÓHçZ”ã^Àв“BÇ-†6âe<@sÖæó _WoÜh¬¢âG{Yù4óy.Ô¹…¬ÛU —±læMð\z;­mù,·=F($;§ ®é¥–™º ³á%­¢…Ž2ý½Œëž[tÂi8 Ûk}íÈ4³á°¨Þ‚s4ÔÃ>jÏ:²gölÌ bÏu,hÕ&t¡´ÿøÍããtÑÅ‹h·âö(¢@l¢Íu§j•DÛ|Ù2¸ÜјdJf‡V'ƒ Ô% ²?C  s.ŒG‹N8㯙‚xwå\îsh§\"VÕtY>ºé$zÃœqY–ú´Òò.ô£è£_cʱ„çÊCA)=Ycš{Tpiâ…p’4ÇÛÍ2"ò¯î€À`ôʇFäH~)™ÇXí 6¦q M˜1¤+l&? P¡ÝÐÖñÞ AaÃ]wdT­cá¦=›˜£ÿБCÕ{?ÐózÅÉu'ôØNò ›Ó!¾üß0í˜ õ¡òm,úô‡ÀDÚUÃC墥ÄUU4ÛÙ‚8ð› à:)˜ìç®+Rv<± }é§QEûTçÅeŸ(êøFXâCº£D¡ð¿uÏxáoýx,ýg%ãÑvôZ¡ºíƒ¤Ï·¹í:p "<%¬µÿ¼Ç8g;dÜŒw=dcØa©ÓïàaÔ#D¿²¶êv`,]|3Õé¸Ïúv¸Ì~@!fÚ?^f¶ÊG°M$Éd\˜ïœ­œù¥Jà¼å«×86÷þÖ €!9yMð£¾"¨ïŒ¨oØR·{•o·9nb# üPË’±÷ Ú¾Ið ¹[q4î>Å$™/ ÓÄ%(ÜSø|Pb+áÛBûvJ1Ìd£å’B,Þû±ØJ—sÖÔ“äAÿ¹!s‘üBÍçhzÉT«‡¢Ë¾›ÜûU"çË{_TvãNÊ?™4"Cÿ®`ð<ÙÉcÇ=Á=DÔ»kAzK°P± ¢=,zXºêôK1¥íâeaϲ>béõûì?xØÞA‚Ú•ÊpŸPè\> ëbV+âÙtnp³g°ÂÒ:ÅÐc7,ðf ßK8Ï1ž‹“c3aÿ 8JÆ‘­‚;áà™ã,¢“Ë bâð nÚ²“H«CtnÞnÛ­&(jƒÞò<£8 ¦BLüøφ¥6™DЫžY ü"PVrÍœLôö|gÁÓ@µ:ž«ARýØaåwÓ±°Qó_Ïc3š\l¨­âû×mõ±v‘ É ©}„[ŒZŸÑ×_-Æ›4òarÇÞRD“‚ðÂÄ.àÜÕIÎ3¨žPäru¿|Ó‡ÅÙL%Ÿ)½áY‘¼¹Ãc‰ 1ÓšYHê´à=A`v“0wñ5ë+žr–>Ifˆ?b‡èx+6˜¼2zþQ8© W”ŃÒØÍ…I÷>!8#¾t­lÑ椳ß÷r„ L¬ÇÏU]”Ì—¯H¿‹‹ˆíwŸ8›ÔY…Œ®`¾¡_Û\Ƭî+$E3¥þpbG?â—¾ù½øN ÆU ,ÂEi†¸xúxçqöÇo¾ûkø(gŠ”zZæ-®pœ9=Pegz˜78,Êr¹ë@¬÷ÎÌ™XÃ$kÑOJÕÌ$ý¦£ÿt¦I¨OòÇn0‡q bY±K½÷éÖô~[~ÄÞ~%“XÞo”ÕcìCÚø:UßoìlÖF¤5¼ßéÙL;T8f\}AÑ?í½Hø·]‹Èæ‰Ñý=Üàý&¾uKèâÒ ‰;ìÇèô.ÆÂ*D|ÇIæ˜ ^â=jDR 1+(¦ãqg\wThÛ{È ôä_wÈ\„Íý…¤gÑ“ÞŸ ‡éˆ&'Ó·såþ¶6^ÚÁ¯ É ÒBÆòåâ žúçÞ{¸Èü,vnó±­Î9 …C ÐÓ†î@hü G›xü~‘üøùÓǤ3–‰ÎùyÒ‰¡"õ©kãkû xÁ§x¥öRÙá_§wm7#}WŒžõÈ9n¢×O\èD•c=ÒïáDxk…²ó׎Qi$>0s†ÓÞ&QKn'êÍï'JN¾Ð¤<¡E%ðŽÜC΃‡;àÀI&DÀÑ ùŲ,ÞŸÑÀùU{PdxP718øž£ÄT9[Õžç1PdͳQ$&æ0ÐÅNBGiWe¬Ó»Ù¥‹9Õ2NâX pfÚÈhuë [´ÙÖo Cåmã?H@®Å}?$¹$ÁIÄ(})Šì²{K•Ã½Õ2$ÅejiK|¥8hñœÚ£×øî¿ïv „[Úb'DU¨áe.3÷VÚ_LLjÚRh»¡ÙqVß׉ꭣ‹–×Õ1e¢Ûxò }ÕTYŒÅUOH–/é~*í5kbœÓ#¦ ›¹P[´æ‚>é¹(M§xø—â70:«> CVE…ò íu¬»ü´Íc±ÄO™•Ö÷PÂ\_¦h+ 'ö ðè!§°ÒÛ?ÎåÈ€.`·n´4)*¯·DXDp¾{òVUSŠÐOÒl7[Òa©O›¡ٲ̠3› ùÓ ò3bƒ;#9N8„:z‘½t»·Ô\9 e\U\ ÄcóVóDÌ„š(ëâ\‡Ë̶{Î-Oa¯•žÈ«”·m±¿B˜Ã† ¦Éé‘ÞSc‘wÖ¡Ãz¿5 $¦Ñ¦èûš¯\_pqx3gÿ„~+¡—Œ—uÁO¤,¸.èïl¨ÜsƒÈl?’¥½?F"0—6$ïµ 9Ñw%ÍKgbÍw/´æÆ$&ýSOÿ åv¤°S“ á„oÎFFÑ&k£¬^ª‰Ó}¦A·úíµ{ÛÞÐœkw£K{Ûh…u¿·ý“MEÚ H{3ø–I„I€—>Ý{Ü{üº ɾ¼÷xÿññã“ÇñW?<†+‚„¶÷øðq{Ýá 0!ÞÖ§DÄëŸÄon½k[¿Úû¯¿·óœþ (ô{;ÿóÒþÏ ùVxÒ ÿ±~"PçòÞÓ}é _C{¥<ÝçDÅÅÌÔTY¿AM}‡Æb«ö^ìù¿½·ÿw9ÛBB`òÑ’0RfŒIú·½ƒ0Ü*û©ÐMyHK,I€Ÿ…XŒ=ÕYԗЊAû·÷Ê0ed¤7£‘971,]Ëeˆ•ù-5›xí™ò‘mî.ç2\öÿ }«Ð™Q¬r‡5‡Cü)JôòH× GnFÑö ‰÷ÙÂ.•¹ÝÂJ1w¹\öL]Äï¡W:nëêú –3 ü xmîifãÄ°|'ôÜE¡ô2·ÛNZnO \¬±EñœfƒMÁ GôéP¢°š1Í“‡†„²ŠÐFk‘QÍCw’þF(в•öbHžüûþÆVfÚòYªJbNîqíóŽz¥þ‘¾Íl¿å?+íÙ0†7Þ”¼=;’só a!)žýõ–.Î»Ö žn0i:ŸËqiæöSÑZËz‡°”ôaù¬ØkÆFøû¾ÜÅ`Ž°(@™ƒCï,²÷“^ºœwâR¾r|_ÎVqåËY¶—ÛT3èvÛ¾¸›{þœÀŸJ†‰Nñý/¢]ÆßÛ´ÈöuÚyÙï|ëÊÅ6Ũ”T .ý»ÐÿôúŸ?@o! ²”þí:#¹qÏ°Q´Ñ¾ú=ð¼ë 12fˆ÷ù–¨B(¤ ÏéÊ‚’.¿®=ñÐäãÒÌ„ît™9u€·Àê*Û);q*7ÒS§¾¾w“§(Bôò„æÂoZ€6‰¡ìà2‰òX\íƒD›½¢—©#Äû&ÎÔ)2N0NDZ§F‹âZt¤rQ„Þ@=àöií\´ãŒ‘æÃo à)iœÂ Fl.ïLç8#Ð}Ôžù¡º2MÑIFR2ÙiôøƒZ¢Ò©©³?…¨ÎuAýþ¿¾ý6#‘ËQ.êÇÓ€1cN0Æ5ßÆ×ù(lú&¹(há¥-tÏŒðavâX2+9gp9TÜ›}p‡ /p¼"$(Eq½âó&Þñî°‚ºÁ Ä ½#¥c[‹ïeÄ÷ú-š Ü%:›Í Éçv¡Ä¨º?Uª”—„ÀnÒH»«Ž~QÊ®EJ%_Ë“žêô¾†­Ê3ï˜ÀÜ5Ãb«æp žœ: iÉ©E\‹‹ü”MŠB‹{U(¸Á:€üø,5ÌkWËu&"ê/Ð9ù Özdùp6Gë¯ÿ„'®vjŒšüí»mÛG î©j"ܹÌÛ4? `F¸õh•Oõ_Ãß°F4ÁZ|‰Iû»ñòÓdj]aûMpÈ[âX˜Ò²¤‘ÎÏ`Z¢kæ0Å»"÷@Ël¦ŒÈOû7’âÆ@wÌIqUbïÈ(=ý·=éMãRôû¼ç‘îg¦ºâœÜ\ÍóO¸o:ÐÛ=7™oëa²T?ëô8.ìYװ付Ÿ=Ÿe?ðãýÞ lª~æ1'0 ‘¨JûÜs}•Ö¦©td¤–›¾¹àÖˆE.¹yªÒºpåŽ MõävñvS]\¸€YÑ¥¾CMÆŒ¦iˆV‘ßÄßÙó\ÒÏ¥ÿ²ã4âÜ¥6M‰í=‡R§45ObVòþþ×o¾•—û‚©uaŠ½ø&¾VbÂ\U_Ç¢Ÿ‚ö±ë®•Ø.¢=”´'H«˜Ág\E%õ†ìñ¯eÝ— OܦÈÓ·<ýxŽ¤Â³ŽÌɵPÓ«_o©bQÞhiÏËDuDYÝK¾‚q$˜£•–-G¼‰Ë ¬U^Îg*Ö© w=X_×Zâqˆ[oI'“RÀ–†Ÿ¿µ¯Bß4Êíf C•”o~`’’uw:äÿ‡§ˆ ]Ü »ì/7¯¢YuÎÚ‰bI[‹çr†0Ùª$œf£e<ÕgzÜ)ìvK®ÏŒƒñPrJTà6å¬C{fs£çhB1Ùˆ”•®twæe–~#ÅbPH- Õ¼•îæ·_aê$–¯å˜r ׬ŠûÐLLdò'f&Ðg˜¶ßÖ¡ ÂïU¦“ØRŠ=yl3–µ…bÌ8Y˜%°UU!Üîõ–+k#p(¿I.Wˆ‰ÚHùÆÇ--ªq‰³ŽÉ8ÇõüP“$~ã{” ʆêÞ0Åлv?À°ÙL-©Kgx„ôO'L%®`&bPDzµãœê‰ž¼C‹zÌÜ}ª]ýÔI¬Ÿ½áBÙBßléuMï(ü¸ëžñ”Tar½åÉ{ˆ‡ãYåÝ[¿ c9‹I7=ýZ1麻æ9V·½mç l{¾ŽÓ®%FÝ"’lݹޡÖ™ù'ä5O>ÒðxV+TÊv1µ}Ùcן(Ìá(ÎÝ3 ïÌ;S롃»ítÞKµwkô™öÔwjyÁè%QA{¨G#[?…;àyâž.Ç ªŽ>ëâ󶢻ӓâi#ц¬839üÑ^"YÑ£#ÄqûÛ´w µ¢…ü^¨OC¼;EußÑw!,†Q¼æˆ€P–-ömü„T~Leaë$ÒL<&íyÔA@ªóé6û^ “'Ân¸VÆjCnæz•^Kú%¦—bƒáfÁÆîWF÷åxéçãš ¤Q-ÛcýP„Ñ+¦Ñ$«ÜAÕÿw”5G9Ô¹«S±Eƒ ÁX€ßtäþ2{®* otË1?>‡i:ú„þ²‡Š~¸Ò;vÛ\ÀœÍúŠ¼»µTáÁ+ióÊœ“¤õQ8 C¤÷e4R+Û6=LöÚÒáÚ"ãú^é±,ý3¡^oYÓÚS]-å~ø‰·xNÐ@Niæÿ—–]óÄT!¼ä¨31rhrè~ ɸáYtŒ¢ÖH)6µ–®ôF¥óYØðvúØ9âÜd¢G4SŒ¼é¸';ä[ÖÁì »@Ë6Ù±E¼Šà^k¹¢ptK#‹¶{¸¯ÊÜÕÍ! ëžmRD[? 'X˜™¯dZa؈}Þ²[G,GWéXÅ â]V5ôª3ˆ û+×J èÞké,…¶PrAýO)ã\—ˆé,ºÚÚå0-+t½iªOM J]“´`æùnÏ0Üm›a³mž4–êÜDËãÝЉQrKèéU(Gq/p«¦O¬6ÿ…½`„³¹ @Úrؘh¬Ê69¨st” ®WvépÄžš •4§ñ=ƒÄÛ 4þg "Ñ-ØJò4Kíο8yüO­¬^âÉ îÚðaÒ,û!ꆻúdß®´t%—å[¿\eÚDŠ(Ù. ùñûC_ïÔm_G{äÎY0«òÅû´¬ã„áwö):ÂÕ#’­4ò9}…½{3p»Wý0çšã¬¼ØñïãÑ¥cÆ‚“s¶DxÅñr6ŸØp(a™JÙæ+j—ºo;‹Ïf?7Š%opç &ŠD(Ánp_¤ ¶›äk%@˜®Ž->LºË¤Šÿ¾}ÐQMoxg ©vC-&ª>´ø}ÔÒù0üöûïZo6ÝUÕç²á‰•?¾M%Ö À/˘ì·æ(Í`Êù¼qì™J#&í¦=Sõå?eÃ_;&pÀŒFRŸ-Ö}­fœ _&—:B)þUÚ¦‰Ä]Oˆ/{;VŸq-ò^˜`‘½î©åYÔ=>L{N‡q<Ÿ×%-&Û^väFN Æ©d|‘ô×±‹3µàSá€sí’76÷)`Jºø(÷xÇs”[ÍãïÞäDåáÿž£™™«ÀõB—VÒç)›¾çIõìã†PGXK°Õ—!æïºÿ¥ðåm0õƦ4ÑlrSÒËåv䬎DzøßP*G ¹û& tÿ¬ƒ .Ïf[Pic¬éΫô{¥šÉ¸О Ò}OBÌ̧ºS\Úñ_p)ÕäÌy¿¨8Sä©›Žz§a÷øN õˆu§[SV±”ÖG<ÒnlŸ0‹šG+Ì×!ºôè é¬ø›‹Ç×6O£ëà¢yш‚KsNlÍ8ƒïpÀj]´Q"^‡ëí±×Ã$—5c¤ð|H¢æ:ƒ}®bS"­XÌhአˆÌ§et¢nxZ*馧ÓÕ™û[,,pžØÍW>OüVŽ-vÝoiZäÖAËžÀ¢ÇB¬âÎ/’CIû_ŸÐ5üMÉ;,M\ЛžsÀ‚ïóx¹–ñÚª Âj÷xÆ‘]&™®Â 'oWæZ!7ü )\Ä¥Ú¡”2ö‰RýàÖ¾äß㈷—Âv³›ÖºnYmÆ@Ëýë³ XªŸþë³t¿Ìbhæ@%Òÿ‘wÃ]è)a…ȯõt;2®:†°Ð¬9J…ê=º²¥"$/Á#ò“ªÚ¨[Ÿ‚´;Œ¶nh²¶pÒ+qXÕH’ÿ‡§(®ç½žO jLh„%„É^så§1£€Òq-ë“¿›á¯I‰7@gWÙ0À`s÷¢ó,”ÕC»@ÙƒŠ~èØŽÙ̲U<›“Ú+¥˜÷õ’ä(³ðøROyâÕ0<BÓÅź`7Ø–f$ øÄÝâØ 7ÌÝ–ubŠz9GoÓ’hl +,¿´¡7M.SÐó[L†qÕ, Q ·î'`Õÿ´ñ€O\èB›8¥fEðƒ]æÑdø)·m´²??þ&~½ÆAèÖì¨Ù+5jÜÕÉå–…°6õ¶É3ef¼oÔÀèÌx<Ý ·`´ãRÍ':A²¦‹Nål"½çJb±H£š¥ø7™6£OàÀbîÒð/¬4U]õ„ÄHMS…TÒBwžìZ¥.~¦i¬¿¸èM^ûˆ8¹ñ1Þ) ó·Âñ[å3cšƒUˆIÁeëÆÙôÌfã®H_û<¤Á]↎òÝW;Àñs¨»µg¯ù.ÿý9þ¦-…ß#$ˆé³ªŒµy7¹ ~ÎÜ&-P̈òß:üIþR(Y ¿’ñšMÅŒ¥öUÐÚˆ@Ìúß“;ð~¯«h:ý2_Y ¹^ÑöõVU•¼ÈYpd¬1© ù2*~·ZªòÒò‹˜ÀزÜB Çä‡èAGå{£i#ú½§[Ë`R­:S—OìDªž+[—JéÄÞµõ³ðý.ƒ"¢Q×Ú6}õ±°À*0•V¨2ñ‹@m‹CAMÒ)˜Ø—m')Á‚ÝéçIÀ/ÐÇ«¦Ùf:Ê¢·¹%úÀ 9/Š~kŽ·’ôÐR÷ "ÑZúM.Á yy#Tµ– Ä=ìR÷ŒÈ3¸ÛRaK2•þÞépQ$n5ÿä²çŠYÚï#¹ NÌ,Äžñõ ƒÅW(ôS K5U!ãèªë(ö.¢@.&¥ß€ÂöÙ1£².ªÇ"E’Ž®bÐÚЮ·]…‡üVK{ƒÝ)ßßé®Åù÷ˆi¨¾ƒ5óÛ¿×ÇÀîMgþ ƒ>‚.Ño¢³6­a´5jçAg[zææ#DØ3œ¡¾Ž(ã  ¡òÚqìo¢‰`i÷;‘•K3‡Äƒƒ%ªŠ‹(5_kÝÃZs4á3è]C‡¤ ž}€JUÄ%¿ìísdm;”ÆB{E‰àOËD`ÓrãTl€“5¥p—iWýæ8ž/tgCk[Gå†Ú“&{o`Žzo¢Šè9¨™Bt@1¦ xKZž} œ ÄÒà%+Ód£ky'±‹n´íl¬Lv¬«è‡Þ1F›÷[˜Lqú¶ùp†²™í1¡ƒ©´} ܹbþ¯M©CsU y Ù ÊætbG³à5Ç\} ¼aR˜I—ÐŽ(èx$®uAŠYÌÑXo©0l7íÜüD‚{¸ñ%7h©ô¸œ#2?›Íñœä3Q Èõª]"½Ûl9êI>Ã91…¦B”ÓMG.Ph‡1ñá‡+Õ­ƒ4Qïk¿ŠŸd?°ðZa1s]ÉŒ‘ÿ›hŽqþçw5†$¢_Ž6§ŸÊèVZÑØØàŠ<²U_õ,&«Üt-ï§ò”ã“P«PÔÓ?t jÏ ¦¹8"f(®ã¾ÕR¼*éBcª6ˆ˜€'¶IÇáX4gÂ6Á yl×ù%ÚgŽ‘¼ÈÙ*C·–‘ª·öZ¼½ç5*X›åÐÙDÔmË8È N Áý*pNq66´™‘~h¢Û½Ð-ߢ«jçR^}®€ŠID}¯¹MT´›žÙdÏ}^t÷©‹&÷é%+Ó 4]*ÒêXÐÇ¥iÕÆFË)HÝ»i”$ÌP&ÉÈ\s\/WŸ}®æ.è 84©á \åüÜz-#ŸàväÌé™ÑcyÛoú§ZþäÓ=™ªç:±6Æ5F“ggò±Ì‰tÔ$Ùï¡'V[8•ÃJÍ£$TMî!I¿w$øÞ¼ÃÓ .VÕ·å8²ÿ%ô7EòjXB@¨mÆÉtä×H1r¢9FEŠœ¨éÛYÑd?ÆÑ©@þJ€4´Ä‡ð ÉN#ˆ¼lÄÞïÚtá,–ázèÉ…?æûŠdC…–˜kÅØÝGtļåèÚlçÊlרn*Õ l·½;ɘ|‰$&råaÚlɦŸÔ›JLÍ=q-³2üR€R;c^U7e’]DâW‰Xø!¾1R׶á‹oì96Ûœ•lôz­`<Šãz8Pò<~é«`.‡M9Ò²4hVÆÜVÍ…0¶ÔØF Ë-¦ºîû4ÙŠ‰m-†×k„PØiD´©Žú>ÇÜÕâõf¦¬t:M뙺ç8s‹zW0IY¡‰²xN£áƒ:_A BvÿÈŠT\Þ½ÿD12n-4ÒŒ‹ÁæÓk¯$AùB-í¹x(T4ð²ðhZÃ÷Á&Ñáiƒ´…Uƒ*Ƴ„Sê$Â’¨K„^UÎÌp «!\s\™½zÓ‘̓©þÒŠL8ãgú¢™pŒeŒRüdO 8Üå†GÛ“€É™!¡„”ç’x¬hë\ÓTø3+g-ñ2\î„ivÛm;óhlñÝ<Ý (:Er?pàøÌÕr&,èíêAtæëQ®…H¡¨M“Òh¶£:DOOù‚)(Ó:A€²˜U†“ö{ºq6AUÁ¹4ˆ¨SàŒ¬sN…q¸ j…iÆ•‘‘¡øJHtͳ·„Q­’ %`°´ªHW å¬vD¿†•;„µoö•'>Êö°ë—ã ·ybSÓwû u£Ý ”“3DDoãE+Í%{HW…?ˆ¶QôÚ¯€ ¿F g`¾ß%I¦è›°æo§Üe¡fÁÞzy%üÜ1‘™I$‹8 T“ƒ~…ùôˆ­Bu‡ çCŠ¾=Ë“ÞkŽ©¹|³Èçò‹“à✉ÉÔW¹pJñ  š8±þ¯IwÉÛãžæœ}»“Ü:Å9Òˆp]A³_>,@•Ç d à\¢sž§ £oaý0àNÇ3¬žcð > 8È$f«ÓÞxeϨÔ6o€7¯ËÇÙ·ß…÷$ˆãúC\õ#MåÇÅÒ[‡äÏSj#¨?jÏ›Á®¹ô=?&-©éïâ\ÉL¯NÛâÿÅõ@,[=äÈÚ¸ñ:Ê6È<Ÿ‹¨Ÿ5WIãÓ=:× ·2ƌŨoy2¢ís;Ft1°º6¸KHïæ銗¥¨²îè° 2Îl Op5kH„ˆrN¨rþ‘Î3Pœ©¦ªB¼@ðÞ}É †Ix‡ìk' tóâoû^4)Q£BÉ LÏÃ+¡HÙ~%|ƒW™'¯ô¦ÐÎ)hn _ ȃ1ø³Ò¥xÄØ5½ÃUíL%•y? LëBz‘G¿_È..œå5ÃLÅ*¹èD{«.ÚxO(ýRë†kÑ÷¤ÓÅŠ‡óö1’ °OöUR§õVìR\9±•2+QoŒ®+èJ•NOT1°ÄŒ Œ=ŽŠ’ì[g×&; 1]ëÌAD#'„Õ±átƒS4ˆR³NÔÆýNãIš¾žò+ñ$Øàr=ëX7g¿è¶£4ՔĂt£½åx‡Ê:Zɦc¹£ÔÁŒw1(ðS¶ŸÙ¼™«KšÙKz<çF€ž‰lTfbÊ5’U[Ùï?çZ•.¨¦C¸D $ßeßþ×;£sñ_üß8Ž$àY—x•ëh,‹dvñ~¨Ïô,oúq”@ñyée&ª¬°bèÃÝÈbÃÑtÙEözDÊ%/yÇuÄMD>Eëö×-õÐÐ.ðÄë1¬G´íå*FûŽÇ?7Jlº‚XŠX*³Õ|ÝËKÈß©’gê \7=uœýåûNÙ·Ày_áv$²«í¥°’oÞ3”(TÂî5›wæwdu&±àYgíýÀc\RÎ(Mc³Z¾Äò¼¨mlÍÇÕ÷…7xå:rÐFªÏÑ©:x&ñÙŸ—ô_{ñ³í—ñNñ^"ah05]ð¼–ß ¹½-8]\•ëw&ÒCA+ZÓèa.›ïˆKZ8qWÇ‚þ1å¡)©–.3ñHUÑ@c&žKsëÄ°Ê"vÙSp1Óv.z:¾Teç1¼…~1ÿw˜CÕyõ¥üEÆÙÿ Ê •½´ÕxiѤõŸ¶-!Êå"!S%7'&78qQ@zù:¶ Ø `_`3œT‚˜Þúû¿dœ¦Vª;^´U²N){û2ü»v'¯mà¯T©a¹çkÌü°T—–>¤bNHù ¼hÞšZ¹èÄþ#é»éK¥Vg–ÔºÍS{¾ƒiíe…3±£?Üvd>€Ø–#úµIâôe,R8êóg ÖMÊ|ãË”ˆ›ą́sEWÊ,=Š–äq‹áN{½c|¨I¤4¿îËШøG+N" ¡ÏŸ‰àŽóUÛqå=à+—ðNù¼Ž´‰HW\d§¬y€„>s%Ž€;ZG.!‡´Ü`ü¥ÒÄ$¬3̤/º§OÉ0î3è=JáˆÍ4ò1ÍÅ=–3áMëÄâ›^£ 7SDÓ#I¸ÛF¬¸+jÌôàõjqÞÂ;̶Š< ´VxiÕ¾ÁÈÊiû›„~ª˜‹ig´No0ØfG69G]ñpa˱œt¯§]À3ýp>ßY4nñ´š¾J~Ý‹RB•ÓÌÏWNBPÂC%ÉÇmvp ®ÎáÖ ÇÂ×øצnN` |ó%+[5ê¢ßå˜]gZQW¼êà»Î˜‹û)CÇØÝvÙ¡r^ƒ,ô.ÒºjÚ£Ñþ77%­®¦¦äȦøËæ+&©dsc'“„Áï^÷¼|Í”¥iR×Ò} ‰‹ª!urŒÔ‡GÁ=ë›~">œæhæ4žï¦À“ýþ]'¨¸Z‡°ø¤Î¼ìz,ØSV=²oM™¦E»è$Á]ö®»žW(Cɤ…QRa•áË4É€x)Z®‘šÖ²aÀÑIàÍÑ<ÑáŸA¤`R²j8cËÖì9êT}1gx|ÉUí—d—YÆYŸ<òmD“æƒ36Ÿ,C—$z"lHx½j&Yb@©ó Øú1òw˜2Äê’JEG,®z—§ÐÁ§ít/ÒTìh„~K=vΡ„C[©)¼3ãƒmØôí…óšƒñÆ`‡‚FZXùRÌÉ„™Žý_¼À»•°â|&É.osÎ Xo:¤2“Þî žMµ®Ó»ŸÑNâ0)¶;¹SDš„ËþËð*ÃûIŽÉ.í÷65“ër~¡±ôÂFËÑ_9Ÿ¬! (”Êì7ßÁ¯ ÄйB{Šý,“’HLGb2ÜÃÉTqVº2ù}>/'éjPqÖº÷J—X0˜PÍ£_Â\ãùƒô•{a¶%Šoü9þî–¸‹¸ºÍUwçÙ_—Û€%Þ´×:xé†"wÀ!u¨ì‡ï¾ÿK¶ñdëIr¿Is8¯Ã%mîH#ZVã¶ó è’ƒsE¥—é=¯z¼wÔBXÐP¹e¦:X·ùÙÌÄ"I¸p÷€1f€^{‹Lf¶¾ë…Ï”^ Ò^ÛÎíIúºËbúeëל*%Ð\®zIO³ö|b¯Ú%œS ûÀUMúCµH–öÏnOZëær²8Á!yòÐ[Í„ª*ú½ P‡Òãê:CõÌãP[èíU‘3§iô#|ÌAÙo~ø.;¾õú‰Zø tU{zð]wÏO|¬ˆàݺßHºaƉÎÉXÛ$ øªƒ7ÕÝú/Écö-9ZDÚwVQݾ։dÜäenEÅðz‡$ÑÒw/hE²ÄÆtg¼¯£„:'`;p+@6x0BÙáP§–û®Ô.-¾Ðùô¶ß·IþÊŒÓWzeD4¡CJ1Â|)±i¸é=Y ˜s‚ÈÚµŒÜÈcï=iâ9òm'ÅáÖ ¸^öWÈtÙMÃ{‘øž’*¢ø”úí¨±ÑôëNÌÛì}3bvПKÓw @©7°{¹d6éþ÷¢“¿§Íµ¯ÅÒŠÇ0eôŒÀß!%öúÏó3€cYúl¼´´ìCEšãò1àxÏ´Ki¼üÃ8›3S°G§ Ñ¹ ¤ˆ®huTóð Í—O3¹T[•ëoËG¤ì?œÌG9>õ 3g!èNêù8˜ÔÄyÞÖýc@ßéÞs²÷Þ™#8JÆö3„SåÌu¨;[Ø´á”̃熓j-Îx’·œnë^Ú"•9+ݱË‘ÔÑÈ;Èþi¬Ý ¬´Pˆtâ\x‹‹º«h¦’c¿‹8óξûkçw¯7ÛŠ¢J ,½ÿð''$sd39sߦ—øzWt.;€¦:¡ÊâY‚8¾Î ¾a3GS‚RØ4õ*9í *½¶6ÍhÓ…_g)»¨åf^'ÕçƒÅMЮåɳ:×GÚT7èÑט¤CÍl(S#˜U°‘ªØ9¢÷ùáÄë¼Øú®¼36* où؆AÓvÒ@îØÚ$“ÀJ'Àhóåm‰Óø“qµ·:ëŸ;Ô0S#_¶î½úÏwßó _$.Þ4$jÞâhW8©0í™\å.3¶/ô¢/·=Íœ²Æ²K|­+#Ób¯Dþö%”›æ)¡€|‡sLªÚ‡µü–¼¨¤¯Ë¢t`DôñY(= a^¨b¢Q†•,ßvº4ñ£™Ÿi×8«³7öIv°þã?<Íž´ vymü}þÄ}O©ML4ßa[8£G âpß ÷¶˜lnû2´?¶9Í/Fl¨i—{,æ8œ ŽäG;öÈ ïb*”ë,yÆÙ¯ ð±vú:˜Îy3&N1!ãdÍ.=M×zÕÉi‚Õr6IMÂçÓXNQBÎt0 •pÉÅb4 $ìé×n¥>ø9dZ>‚cX*Ó§¿c X Rešag™Hw@,èÏ7úù±zòm=+2Ë;3YC=¶‰ó<ËÀcV©a×àwê\ËÎc4­(6Ê*µñ˜ìA¼Ñ'ÙÛ*×*Ý/ÜPg‰Œ1X¥Žd@Ê‘Í~?æE8; ´ýâó¹¤Âþåé÷IjÈËPJÈMÏÞ¶ íÍî \íÏ•0txÌ õ‹bF ƒÐa¶÷;Kd××‚à –· +›»SWq@Ãm½½¯‘ÑÉw%Ñx .ú§²½ Ž¾& Ô³Tr ð× ·ì×Þ>¬Qu­=?ש+¹úG«O]†‰¡ÍáöÕ ´Æ{UZ°Eä*xí&WùÉpÇá ~+1˜ƒèÙ•3cý\rʸVpÉ0,`"U²׎қ†C)­çàuÊijÊE݈)Œ6-QIºÌÀXðˆº"‚ ß™ã8Ktª&[ƒ3yÞ.Dm˜Ÿ¦kc¸š¼¨姑©ê$~,­H­F)Uï*ã Ê&ÓpS'ŽøZ>nÞL#Ÿ„uIÙÿ)íö=˜riy0r]ð.^¥f^Ôºà9ÄN²WÇ!¿Áç<¥Ÿuq/ho$­¨¿ ¾)µo:ð¹ê+|·ƒ€ÖGÚ¹Ne`™d°ºê d þQb´œ£-θSÃñhX „ù–»+ÿT•=·  ZÓŒ” nf#œ_u)lèº(3—ÜŒ¨÷ºY.µeôu4|ÞŠh0“-WËM<`èêw Q@¤í»ë$0+HÇôô7;Óܦø—X4l+±Z …µç#s„Ë•ÙŸ€~ɪ@ò„&6Ó$Œš¯hV<Ö²'´óxÈÁ@Ðx¶ ‚¤ÅÃmÆD6a)ÈnˆH>8Wc;_䶕þ…×c¹Z ¢:ÒcÎå ·½ü‰ÿhSZŒNV«öXMR¦è«•SG•ln×±mvl"šÀYô ç+N‹5] {#µM¿VÔÅ ¹á¸êñÞKí–Uò3µ¬Ií¨aìè\X|×~îe]žš‚+ÄÐçÿ[en²ñ'Û00Pî¶QMA=£¹õš»JS·^÷à3 õf,ž”÷‹ÒÕ ^M{Å2æ»êoÚ¸êé1—ýÏÔŠ¶1¤mŒ{ã/D£y¦‡¾uØ@Š6¡kE‰s†èêw׋8 •÷ó=m¿“rº»8;˜ç›’©ßZw­÷m*ÚAF'“>ƒOPuÖ{vúöP$´M%eSµ‘<ï‹T ‡óÞ¸Wû7´„O@“w.¨^R¼?µº ´__œ)ìMÛ\¦û8ߊhŸêBÜ°§*ÙE=úÆžÀ}kY^ÛHU€+Ö¡$÷+Ñ«KÁdÕåÔe›^4 ý‚¦Æ,ʶƒ÷æXqZ`GÔÙ[ìCQ‰Ó dæâ½ælHN"Ø>¬ ÍÃ{ô.ïùKÒQ°1 )´Î…ŠÄFp²æ¦Š)]8OXx‹{8ÊW|¾¦ýë8]„ï[Ä1&ëd?-¥{‹Zç‘A²ûå,â[%~øZw-“dEP„ ÒkÙð/ã"IÊNmfÇcq(ï.ƒgp~ ã i"}%.2bdG¥ëº3É‹êb*ÊÛ:î'ùÖ*ò®ðµsèõ— ÜßÆßžDãïIWŠÑb4¥òù¹.æ9-Lœ ÞV½Ü(Äá?áDînÀLV³¡Kò\gimòcxôɶ®¢ß(.Æ%†ÐJ‰÷FüsöýOü.ŽAußAæP‘AdL »ð¤wŠr;J+Zéñ5Ëê@Ï",l80â>ã¶/E¯jáS)=æîYž›‘á&ˆ¼Y$Œ¤V\O3VÙó’Y›¾!ߤ÷œO/4ÎxL]^vOE,;ü97 ŸC0ãºã`4móa´¿Ñì€ó.\v½]$ú›å8 ¢ÀŽªJE¼Uµ…äϼéñ8·¥Æ@Lâ)í‡D+ª»û2í¼g¹£`(Ò;{)òí Ó›`uÞã(4ñ}XâçÝ&&EÇ=ad› ûI;”î9Ž¿Ðf¤‹ ‘0d4͵]ì*¿Ž¥êÑôDÁJâ8qøô§×«\ÑZ}×MRê2—’ÈyFq7ü_¸«ìY[ÔŠ>øcl¦KiS¢ÞÕNøG7è³S?­å³iàµÂK3Jlð&NöºÖâ$zGûñŒ¿Q±á³üj;IÑ°]ðlKJÁpL² và¾È«}h|Ü\¾xÑ[mш~g›ÏƒÝ Œë½‹“ÓJGÇU`¾“ì›r–qY¡0þ'•09ØîÙõÅ)©-=_üÒ5ê°¾¹X—u@>(¯”ØT‡îœX”Ÿ¬oMôª£äæ³a—X8:€þæxÑEüG ѵe#ˆhäßö2Ý_ ÚÈÆ#0šzÄþ?¬ý +<þ«ÈZhº óv'ii×Øsè[ñ²ç¹žOåýM³å¤§C/|àA#øÁºßØQ4žLêwvÅË’lTb–€¢Ïàd/iÐÍ{ ¸œäµ³ö–:nÂ:ÇΤ²Ý«,ñtíüF•2½ÙiÖY[zÝ`_«~ôÚ˜²Uœ>¤"hžkåÚ;NW“g½çÞw:‘­FˆÌ蛊œð­£ÇY/Ëäêuï•Þ›ª–„…SÃì1WQ‰E8æ=顪 ±Õ°Ùߧœa»³_‰¤~Ñ›ÜƾŸ\\á‹l§²ÁýÙ¶f+’IÚIÊGt«mN©ëág€ÙŦzŠ¾ Ï1d@z¾\•³GR¡wp„k²Á“loôz‰Jg;ùg×CáÖr›®§X(^kþoúa-{N·I}û˜ðÒÞÛ¶98i1qΨ!¢Ìض#i¿àá–YÉ`×9h‡)“ªeãÕ°šhkbŽ;j^E¦ÁÏ%ÇQrÁ÷×´Y G¼(廸}Ï`oÐ<-ÍÄ&i’VÔ–IóÕkž|ƒ÷Ýâ”þílÕô4Z’ cÀøî}}#A¾Á\U2miÌMÙ ÙÛú é†}Û6•9Á27xë¯ ×X0míO¢¡<¾“«Â¶gܼþjÄI½Ñ¥'UÉEbº» ™Ùô•¯ ŸŸ‰º`í-;A¢,•Ë>ÉiûFÄKý|ŠwÐmWDîœÛKÂíæþî’Lî=¨9‘½éË™4Š #ì#A`šK7!H°þ:Õ`QŠá\Á»¶ú‹³Æš.‰„~ÖÉs×–7^…ÐsQ'{V™cN˯m;–/öÜ)ɧqÙ¼²½dÈçÚÒÌâBqÁ`ìÈHäþ³¼ ;A ‡ü¤€Ÿ°+óé1ÕõÊ[ªW%޶׷ýŒD"µ­”½ÇDßAÿÙã…l$™M¤[¼eUò¬ÿ¾€sù¢”e÷|Eô»b]¬8äm™§÷'v†Þ¶2¼—ß‚´•?s‡ú¯V{ÿÓôÛr»€7ÄõÄ}k+A×Â+ímÖ Lr.ӧȻ Býjùÿ¶íÖ@š×6º´³zŠ¶b_I Â=K;ù[î.à7ƒº'ìå Sª)õ0h{ÑJˆ^4©èžù­Ä¦æY6N£=qK’›\6ëœÏlIÚè袲dÏéÛóC³ ÓH¬Þƒ¶–«Ðe÷Yu²‰.Isï8ù¶S„eH#,ô_´-"q¯0j¹¡à3í÷h ä³ØÒ‡ð}$ÓÕ3.+é„|üî̽ÛFà!¾ÓmêòÈÈ&‘BA‹O=sO->y[ ºÞɱ³G³=ÐUÁQ¦v9‘©o‹“´Ÿ¹X¡"ÒbT Íx¬Ë¸LÚ+Þ©ƒMªWÜí‹~~2ˆÙëoGéVŸGüÖvSô Xf^‰p²Sÿ÷ˆ£UÝ‚ýs©ê)Ý<îü~YqÕõ9"¤ÃoâÝ{pㄳ@·ÞîZÚå¼–§×¡,\Í5àˆ ÎÒó”J-–@žf"`ã*Ccj¡¸Äý¶ö6Ñ €½×¤ß gÄëo,o§’Ò<x‘5ÀùŒ*ë01/0Á©Ô´™”>W¹t¦ü„`%È´Ã7m8ñ½ÓaϘvfŽe$ô­»g ëþÏxRó ÑŒïн\î \ìWJ„¶†'°Þ-ö14­¨dWX÷ÔÎBPúmóˆ©à²N@Ö.gœ¾üC”gâCP1Âc¢êO¥Ü€up·±½|]Nèxcë¥ "Šsi¶Ð.bl3QÊ'㛳lCaÌö`’ÕcÛjØæ6h¯\fD»ÑãåǾnó¶ÿØ.¥f¿ì^ÜqÜØB ÂoI½íLpµ9·†Ü`Ý”I³ÑÕ.UUn–žÿX¾ À ¦ÒŽ[¾ @™P ?7á°fh¿âe<JªQÉK"C·(Ø™8¨‡˜u‘¼ê`Ÿ ¼7‘|Bâ%Íq~·ÃÐ(%H+´çé³x¸¢1"që­T"ù%Ü q5ufgjªâ é7,Þ…ÝÁvÞâº1·#•/æò„ó‹õ´n.‹0¿ëÌT—YôRE7“;ñÝæeܸÝvB“ç>XùeÌît¯.EX2 ´ÎZëøÌOþp¿R ©l·U/"è+‡›‡kOFèi®K¼Ó‹,†l_8¥¹¾¹oëÞæúãïìX‹·Ë´…˜ZÛʧëéow 0c]-Õ6òº}ëD36›‚ÀÀÒ⇒­Š´¡Þ9JFËñàj=°C2òAá Ü}ÇmZѪ`Aw7ÉEWÛ@¬T•Ò“˜DkXyŸUöD,mµN‹í8ئÏ¡­žüå;y—C¡|´ò+ɇs¾%ÉBÀÚLÝÑRob×n?e,}w—V©±£ô¬õ†—}P½Œw6i s÷;l¥êß„¶âãðM,keJhÎ"ZÖ•&3À‡C¨¢È fiipÃs$çô¹±ôI²b\eàCLmù‘WšØcÝuêlNà~ðÛ^ÁåŸ+Nx'¦!LŒ6 sÝßEñ.N«{ûÑM L°!ê×{×?ò¹°Æ~”ÛÁžbGõÏñ"ªµw‰—š"´ž“wF |xî2lk{—¨Ý;…“è+d«ÍòåÁ¿±„÷TsÅí²Ï¾(.½‰išœ3lÓ~9ð´ßå[\ øžyò-ñéع”úîǼ·]©r$ …ÜÄ}‘%1mú†:?VY+bY/B,ìk÷»kb[ÐZQ%äò?trÄ*š.÷«ÛûíOñ%Ýrõ1û?;èvT·ãÁ)l#4r¥&FDçÑ% ¶½¸„Õ'­pŒÜááüã2IÌxOT‰ÀR¸³ M7/töó<4nå¹öâõמ³Ç opá²î:ÏÆÿÂÕ wÕw–½Í°pÈ{>žhQãB ‡ÀJų˜Õ„F¹ÂÀzCý³hñ³^ؤ‰‘‡¾âaaܽà n =ò—8Z©¨ßÒ]s @OÕÑZRýW€Ì4umên^ÿ"HgÓâÜŽuô-c“êN©b/'q¦eØàÈÓ›ncº§" cÐwé>fíOø&R;û¢+â‚W,kŽŽðYt¤žòN3ßí ¼´0Ñ@üaãÙÀK¿ì¤Ýù¢)™ºÇ®ˆÖ¹Õ+óF…÷›{oÙÄ—¼ äHZ®30UÍXž£µ´ZMl$ˆøGaØŒÍjÚ¢ÔšS¢ñþkÒŠø™o{¥‘+G*;B&Hîf¢[—|šiú¢S[ÄÌ¥.ΘçS°C7YÓ“>e¹¤‘\Näâ¹Ñ! â‰Êتƒ_çvAkt•Pï±ä jÓÄx¿qøßÕ|®žÒ¬¦¨Ž/^dë<þÑOÞØ&G3Ç<•ÖÐK±v ø­p½ê`RmžÇm/cÜc*5š&)L}{ÓÚY{ó¥]ñÁÚ‡ÒCÌAS+¶FWÏêþW±_KÌÏöà·=±ùaöDÚe·…¸•]Ͼÿé¯ß%­Ò‰þãlø§þ"™L…ÂÔóURbG³>KƒªFÊ´üÌú$´é[E–æ-œ ë‹~ó‰¢ÐÑ›äë´6?›š#v+»Ðñ¸V–ÚoËèu%?—ÒË:}„èéwK"§²ó xãMä»'Ksfø„®6ið9+/xë#Òœ†ýÞHÄ´-bF+‡!Aè÷7}^OÞ”äI°ŒðB"«Å?•|½,É6˜6dG‘ñ¥òEßË'êY¥9½Ï‰©²™-"§Ø}–.Â4ß·yñÚ¿xòhN[ ›¸cÏÌ`¯á->LÑG©d#Ÿf¯ÔáL¼£YsfLØËÁo(ü'xJ?¥N/W«šY¸¯Ò—j±ax‰†0]6ÉⲌ }¸³Ót]ÛJx»ßñ>% ×sujbúßNX[(\îVÒ7£ùw…‹Ðv‘휅8µŒø»à¬tK ïÕH%ÉVP•“ŠŒÛW5ÙKDŠ×kùcéO"L˜EsâöèÓsVòSü0§”7áèÚ•ûÀqÁüéß“iho¨TX }²\‰mÀaèSk²`C=oØÐJ˜éæ´ÉJP5¸|e碮Ðfª œú/Âx,VÒGý·\fÌcÀ¹²+ö9=ÑÔqòF§í(l ¦Bs@›•à¯ªyoE[çÒ ’Ä?ÐúOïKâù|ñ¼”Šn+üÅøÊ'ïWƒØÍ’ÈñC½6zrà‰89vÂ)hNT}`o…¡ªD¸™:Æ3 ƒûv4«åél¥àVf/[q ð9é C%Ú÷éuhµW¦ŒÑß‚­Ÿž¥Õ $bªì˜ ÊÆ0˧sÎþÿˆt{~™Át Dî"è2šøŠ‚½0´qt'c L<Ùß…¤îG0PŽ…eù ðÂbG´QT§§m•¤ï¾Ù‰ÕÒ&‡6.”V| =ö©±ìqèo_Fß„+$w x†½­ è7•P ])úöÛOÞ=yû䯢jcP‚:‹DšaʼnÞœóÄ°•V¦•NZ?É^ªZdÜr8ûÙQÿšF âK/‚:Ž•Rìå„ )Œßo]¬”Zù÷u)™Øý¢PRÕãÊÌ|Ô•â”Ì«’…h¡Ïà.,^IwŽ¤~ÝŽ%/±ô¹jd›k¸ßpž™:-·}è—€[p¿UÏ"é;y‘w §y<ò]Œhº™Oˆ))­t‚rÏ?0CÕäƒ`šÍ"’ýàÚ80EÈðªû¢Ü®Ü;Ú?¶:©9:ÝóH­t&èjzèœÕ,¥EGÕÝzŽgüÐe½ ÉÐDòÃM:Ö…>µ‹»ôÙD\èJ'A¤Bý?¯u8¾B¤[õ`BíŽq©ã§æë£È Ç.§È\9ÉíG—•L§ÀwÔÍ"L®à¿MÅæšwÓE‘ÔâDUÉDVŒÞåïü%›ZÿO×á¸GÁ8>š £ßöŠ/=ŸZZç²_w_€¿×)saÉP8ÕQ;¦5@›l®ªèe€™Ûg·qŒÔ’Q/b¦ZxœÑ5m)tôÊãy]¶EÎ.ñ;Å8Yz¯;¨òEÅ[ ¼ˆ“$™B8ÊððLÏnôŒ>_ø`·;Ж¥fŒÝtwI–ž:é–µU(È pÆoÄqµƒŸ‰I$’D|í¡È‘„ÔNv)ðº+Uö‚’=Îö1`©’ìdÝcp<ƒe-Úøµ2gʃ¥¥”>ÇÈ‹DWàB^œ¦×Âïü ѽèd¦×¦'´z–äÁÐíɇ뚳Øæù²¼­ò|k„®÷Rvq~«VÙ‚‰·lïûœ6q[=Í6Œ|IèqÔ˜n8ôY‹D"J80¼Í 'üW=‚óÆÞ}¯óZ·Úö?÷xÑa€âu‚CÅ·|áÒU'^[Mã9ówˆ–mÇ9"v@&Çâe–I«ñ7*õÙ—÷ýeVhfuÙîñíR#›Ñ:ìܱÎÑF}…/hƒ7Í»Éû×¾úmé#ý@ôlÃ&ú.}L :»ÓƒÑôØ‹ÑùD“K¯nº«lùx³7úc< r‚m›ð9Îd#Ó!HÙ ¡L øuê€êDX ¿ÿ±™þ2|·ó lð7úâL)­ø?nù¿9³Ä{ZNX÷K|é×>QÖ›ùÁK%ý}¾ûTñððÒÙat¦ÝICf³Þ}øÊül=1¥8>ýv©\Ô)}&Ýsa¡ %¦†E›©üz°?!£*˜ýì|þHÈôØñËf./¡5γL‰Ï£ÇPà‹¶Áë WPá4ÙaƒJšìØx*Ós·Õ­au“î›ì-ÁkªE*éEìOBÆŠ¸Lgtï,Y\Óntâ ÇNa¡¾ì`aÐ[ñmùJ]q”ÝáÈÌÓ*AÊüÿž!zš½¨0vŽn4ñçúé¯?‘Æyœ&€½z‰üò¥¯$¸‰’%ïF‡§ÎÌ«üš4>tybà$¬Ù&/¼*EIS'’ä÷ïv0Ô"çÀ~.8vRD(ðÆí™]¤´#wE‘½êI6€ 0ì)ºty_ãýáhFýZOÍÜí¶BW?¿-mùéÕUw•¡ž…Ý–˜Ò¡‡]ñ2p¸öŠû× 3•±P?êè–í-i@NÔ;;¾ìp±“\F¸†f,aLépÜkA©ŒeibÅ™ ­c¤ÍŽg°»Rì¡tFÄÏâàEg['°ö] ˜b${©ËdÔ‹YÃnDDÞŒõ0X?¹Ìlá³l„i¾ÿ(êŒM4S5»Q2£ûIÞœº(aNØK;æÇÉ­¡QûmgA9¿æîh8jOô’ÙøsgèØ­”“«áT A”t rÿ|ô(>Ђ²ÝJuÙLÀÁ÷©•ÓȈGÀ{†Mú#aóM=~¨à:ýïQlY;ùû¹ |[œ“goçºrT‰ˆ,+†•Ì5pÕ—ê} ;©e-½—w‰Õ-Ž5ÂcƺjÀ·$'g rX¦H2‚ñ‹YL1|þ¾Îÿ(| Õ¹°Ê¨ó6‘LzJÛ7?pËm=Ë胓X¸hðy·¦uHŸ’ˆ<ËNRñæÿ¹·G'oÒ —/¾Kr²r3ž}¦D0gð#Õ½|Ošªe5 o[ÖVŸYÛ/¶_]”€ÙJœaÜ[.AmbMœHÌiÚ™UK&¹þý¶£à²®Oke­ÔÈÙÌØÛù ÏEåïXö–zMöA™†sB ‹øSº³Ð­ðA9µIÒz̳ˇó"†ßUè[8.3ø¼FÕÒ“@A¶<Û®|[c÷%ÏwÜ ß÷Ý:ò¥doÇ Ú>,\>F=›Úc—d Ìúöð0ùþilCv£‹,ÎA¾¶íœ9aÛ 6?p‚E->ãZ½4;Ö%?CêÎê Á³suòXN߇nbŠ´·+l<—âÔ;÷“ï¿û3 ßàö<´ê.‚ÛLH¤Ï†Ç¶º†Ú÷ìÊn!eÒÙ¹EÁ_ίŸ"|íN(q†ÛñÕ Ü L´1‹ÏKº´dç"©‘äUuÕUèËPnʺßæYÚ—ùs,ƒœ4ðöÙæB¬´ÔOàÁgòìùç›p¢M.(Aº{á²éØ— »°$ŒÝ—çÖ7"Þ³Áœ_v0ÙpŠs3 ?ânû¨ÔE?| ‚Üô£H¨—Ñn©0 xâè7!÷ü- Ð^!°¶7Sï4ÝD°g*ÄoÐ Ôø@çâŠ|ڿ䋧œð‚Æ_ãL§>¦X¢êf½Í´ëø×¹¸¾ŸŠð+¾‚—‘nd{ÜêÅÜô8Ť>õNðÚPcÔgÝòL=«ud§‚½¬ûaw<—¸¶qW£iï#\bÉ(v<`€]ssÅA'l}-·ZÖÍbæ)Éí¨Á£wÍ[m]ª,×vOIfZ-¥°Q™ÎhöÙj.OήmÓbJS{m&‘nke»Í&­É†X›xfy•ðPǪl¨VÒët*ldíPEKN;¢þtŒ\¶ˆÉ”ïÊvËI½Š\GÓ ñ<—oÓ:¿!B÷Wö^W´´â¤ÜK*§òò—¦EŠtåDŹrËç„‹Íûµív<¡}åï²—ªŒ=¾ÕÁA-¹øŒ.ò3þ¾Ž¿—(´V: ÙxÎuºE‹Ì–œY|4ÜR¹`¥ý5—µ)ŸÛ •QyPøM‡ækˆ2s«‰Eú =ÖM¹+¸œ8&–óÐÈw"p^+·ÈŒ›¬Ð§§¤‹4hΉJú\;™Åî—/DãÐ&þ´‡º*¬(J³ðaz§»©9¨÷»¹:‹âHËI½“¿2©3øµ úÑQJÜ¥ ›-ú9óÙÿ¼ÖÞå¨Ä8@5ÆÜ_â‹6š¶©‚•‡ø›0E=¿žR-mvØÒàWMôkmgðl˜dôÑL7ÕÒ(›)žDïÌvF[ϺÅCB¦Vúµàp×Ç’¯õù@d¨Xê™pVàÇP lŒÔ¼ÍG‘nÙÁHV9Ã"1˜†è’»ùÜ #ï(§÷o„”XÒMƒ15£9í¨ëÍ…Xþ:ßNá à1,íˆÐL."¾èäìlŽ$edªµ$ñ%ðM5ˆz?—šõZΕіÌVK †ˆ!m1ÔC—§QNûÔË40ÊÙ¢‰Nç´—bõûš.aIw©îýÜDZF©É¦–¸¾ðžG Ñ$ãH:U§EŸ!ݨÌs{ÙáÛJD#{¤Š®ÖIc–DHþ^‘<ÝÚUôÿ´Â^D÷â‚d6];ˆf+ÂÃÖ?1¥©cÈ…bFÃÔŸÌÉIÙ‰M²>Ñéµ–][µEì_‹ÛjŸ#|v,¾y¹ˆ[:3–úl¼†Lp‡HÒà%ëØì÷¤~ªcèÙ:§ EÝÿ9‚ç²þƒX§i&i#[¬c6º£=vp‹¡Bj€EÏT9b‚à{¬ ‡ú ëJÌ!¤Ž48 EêTHM]ù;Ñ#m¹€ÍAÕ¦F÷ßï¨ýï1€8ý‡¥áÇjÀ¼>ôÿw'à7ÿÏXe^;q·I?üí¨úcE­øgö±ÁÇêKê$·'A‰ŠÔ3ZîuA­&ì½?'™ŽcWNÃÑ*aù¡/¡‡ ­èúPF7ÓõDCÛýø\Wq£Ë¨š^¡«’SÚ¾}†&DulMµ„’{d²i€6Øá(5Ï&‘Êh…*,Š9|r¢ÞM¿Nã¶[i©e±´baÀ‰¨¡Çs¿6CœÿEGa=Œÿk~¤°Ã0©Ššr6³±è"þò¥îºhLΨ¿#†¨€ÿ3ò ÌÔÌD[ •ÈK²µ>S§Æìk(Á„{ÙÚÏ]›R‘ƒ »^Þ=ó®X‰Ú25ͪ2 ¤#„Ó혉 àÀsšã}|½OßM»ˆ±Ñüìœü´‚"•çFdø»è¤1yµ»Ê_.h˜3•×O?ýä%÷¼d´81DÞ,áÕïÅ’+vÅc¬ƒ ‡{g•ŽÆo­"}Ó\7‰¥q•¡†Yh^HçT–°ý~ß–ÍúƱNÌ÷h| :åSÉ|“k{ö%Ž˜ "‘ºatº µaF“E¾^àß±[¡~†ö~§|R˜œùìp–GÊñÔWädt ÔdÊé/àÕ×¢M©[ @´–-á°\¥i7ƒ„9Q’SÃNÂg£aS/6Ú·¦'=ÇðP\òÈ0v,rd¡óh‚GãçfnCÏ¿ÆMÜÏL¿Ôq̜˥,ízÇ‚`wÅH˜0E_g|ƒþNŒE¹#Ñv4M²oÝî„“å£)!Û#å5¡ ·+hÑî^æK\.´7äž@§!©»Q‰ÉœÊКù· ¡Šúäš=DÚBRPbߌÓ2µ8˜²&rk|XpB¿‡+˜ü>€ò–ùºzω=_q3šêÓÞ7åÿ »æ±”•A6•áZ@E·zÀ·žÞÞƒà?Zºk0 V²»øØågaågÐy÷^„]IP–þš¯¡Ì<¥¥µž«Ê»d¸Ó~>_Àö¼osÞö >æOû! ïw ½½©œãpBIöOäwXÎ6Î76{×æò/A˜ûÀ 3­çéWAgÑbR-pEšwð’SÐ –À-…7×/Äûp)õ€AgÆ(Ô½Yºr¹Aªà'Üa|xÛc ™"Í?qÐú&Êد3¹S¹Ôÿƒb×E±h¹•¢ŸºAäLjèëöcØ‚®FØ9Ô«ñÙá”êÛ5.VÈÍE1ep£KïVVÆ17½„w¬ói Ö ±\"„è©ÚE¿/´¾*ôTÚÑÐVxaƒ¥ã¡“å°†a¨8‡¬‹Á$”ê¹á¤a£æcøïzE—ŠFfº½—-øG{‹‹¬htZ‘ƒV)Joh³Ígm3´–8gA/›ëòÞ5ªVU¹ä‘¯Á£Lgÿ—Ÿìƽ-;j9[–;]úsç)LËìùÜä6:î|Á7ÃrBª mTùÒfûöØŠ·¯mi êMø3èm¨×ñSjŒ)v×–1»ß¿í Ϭc H–á¾ñX\jDuŸ Ú_½ü'}øÙã£Áñ!Þe¹ÉñW=Þ!¾)Éàs‘¶˜§ôà@Î7ñ»Üƒ_¾¶ãI´ÑU¯¿ ê.ùBNs£è<µn vm£j–ª8‹U-©ú×+Ýu†$­ñ„ÿãahÑôX'›d\%9íñ.Ì蔽S¦Ú1“ÀFj OÍLÃ}zhÊZwÕ=cï,CeðeР¯af¥-8¬8|Î/P„ÖSN·lÝ·£õòU´“^u%VêkX“8µ ö\à2aèsòüí)‘b†=T“©ô!E*û\r £J#®s‘~äÉ¥Ž÷MÏFOäÙç Ë[S†ëø›ñÃ4Ž6‹ó_Ƴ œÈ]!&$ã´éçj’l˜¯iÿ' ¬úš½ º–¢NÕ°a¡g¡å:r¼ó…èn{]¯ý .=Ç>^ óÎÐÐÏ;ÊùcÝuîÊÒô›A«¢)ºpöþµŽémhű/ˆÁƒ8îPê®+U§TWÇ ÒSøõNšœêŸ^Úq§K½bèÓ%ݦ…b‰ýóu4Ò³#=ãü¼ñ»µ ðš8WäZ5RÀ毡iA9`â׀ѭŸÏôrg‹ ?eÙ:‡{©e8¤¶Œë/}—vÒ†,5'|°XÅÀËÁ J FN×PªÉußÄ×â-kšÃ©Ú´bä­‰­vœÍ¦m8O  76»îIêD =CýJ&ò¡zÒ=¦öîNú Z 8þ2yaB±qè«@à6ãþL«L;ú!4¨‘6Ç}âúN2ïOö^R#pl{ËIÌ1 Ö}ŒÿùhiÙX8r£úæbœÝÓL™ìñ k«j]'÷¿cCEe{û0öÔÙ³\§ÛÉÞWõ¬³‹ìçÁ†üµáBFþÑ8_¨n“KëÈbæ[ú¦ ú€qæÒ·-ï/çÑñºÆ"!S¦ÎuÊ>“òTºø©búy¬È©Ú^ëœZ쩣Ǔuzª˜!Užßß!e£T³©¥¢õBÑFøT¢¦;\Ý/ÀÀ‡Gø5Øp8vkg|j4åºÉ&Žú2$€ÝÑAÁúo¥ã±•Þ‰VM=4uÍá´D–mEõE6‡»; õÔÎßsXÓ΂¾‰Šë'¼Òg$®D2Û‚.gÏ:nïh>€>]ÿ‹7Ñt´§&Ûd›&z]ÙÁ¸›ÓKGg¨}ˆñ>“8ž4/¦/‘ÓyGÓ6†jJÍAo²eªrœg*ø^}E´)ÔŒ#gëÑôDU§¤ˆ©¹8Å~ä •¦æÉh B¡-*Û–œ©(j¿N R áB䦖E¿M‹v¿\‚sæ$Q1®‡’½PÒE {;„ TˆéÅ'6Çö†*³ÈEÖÙz4AoùhâR®±~g¦Eâx±ñפ;Ÿ¨z#"Òœð ø<Áu8¿á®”DŽjš™{/`{¢ê©yš½™’&ælo¿¸c¤’5<èÑ~†n‰O÷ j,‹(q‡B¡¬hœã'TMóÆÌÄÖ¦FšxEŸ$§†ÊǙŗzÃÎÕ'#ý|Qµª†ôŸîcÌr,-q4a cŒÑ”Ò<×ñÀ~¥“2Y£&±} ÖõRòCC5sžk6¶l¹Ùnò•uÛPð8DSÆqºg¥;`6‘)âš;âmñèZ‰«2û¾ Õ§ñSŽY¯˜µ§êi6¥6_Ÿ‘•-lÏqQˆö–ìÒÌÕƒ®è˜`àŠ R»•®@/Ùõ§å± Ñ7•;„{<ÂéJ¨—<éÿ»˜\.¿ö˜vÔYôyõP8Œ u>HJ)Úû³ù=¸ì ˆÆº‘lãcúÊ îÄœ;ÌÞUÿO.Wü¥ËÕWÉÉÊáœUœÞ „ÑóHzïÅ°‰l¢âì-}ú…žK4`¹Ã[¯q–ø ›¸¹¥ÇH&^y‚x½ÔkЃ¯¦b¾ŒñÍõ)}îÃHÊþ-“¹“Ptê×ε.žÛmÒ/˜6ˆÆ÷¸ÅFª j­˜ÛþŽˆÊaûÍIïfâerædu¨4ȹäþJt=÷Kº(•ñg8 N+šðá­ÚÍú¤YðœTº†9˧cÏ®d9Ry°;jÙ£¯ Ç{ÿ¶3`‰¤ŽíǬ\CwÅFÃ5ýÑ«í%rÙˆ`T¾å´U«×”q1C¯…ob ÕBo´·?þ\òîÃ'¦ùë äÙ¾ÍåI{g‹h¨î@Róç":ñ’Ð<-IÝk£,îa;&úw¬vX[ö)½ä]?Ï™Çê8º:Ýè@ýñ¬gTj.ñ{Gµ£keˆta âÍ'éÏ{iºN|W€œÔ Q¿èúÉí(¥ ótßdð(ÛŽþ½w¢d¼ö|^ÛBô'Qqt7;²#HÖ!/¦þîƒ{7–„8gœ€Ö3ö‘R¸©›´;ZÂFvå€;'…Þ›!2¼âer‘ñð¯c(Ò¾K鹸°ûû•>D[šóU.~šÏ«ã~}»q‘@ñNÑ,î/\L,4"期ZâÇg"¡óu'r‰Î èX-[##Û©vªVA©JPAã:$x!…fði;)ZäùZÐ B&jBj'‡…1¥ •Å±Â¹ ‰PíKî*vë»Øj êjhfò:6–ÂIú“ìÌ·}¡×íHñ‹ð²îñïÔa³¬ üÖK ­4%¯XHÛQ 0p­î9©ýÁþG3øÐÁÛN].ø nA¶”áÚ7à <Ù6aýþrI ršcùà½_žÐT—ïúñ/Ù`W‰\쪒2ÿ=ñªsv^à£Ïs”À€Ê®îÑRL×ØXðÍññ‚;kÊÝgòJ¤;щ£2dHr^8¸FBF…x`¼>b÷ç‹x–ÇE™îéµµóì÷ÏlnaSúCj˜A1ás™\®øËÇYŠ_t—#±^áZËèAלû0̶íPmC’„Ò0¨¨Gª°Où Ú´í6-u‰G™ÿ(ø$DZ!eÙuþwl†eZÍ{>Ç*UÆÏœ±þ´ø—`Y/i«vªƒ)ùž“JòQ•ªšZÚB¥ÚHULÒw+ŒPO¸ø"?qMShÌf¶BtT/q(¢JÅžx3ñ1*KÛû‰ë/»kÎå'N».£ -NmP HQŠę́[TMÕŠñÀ—P?-=KO*Y™cO¨g P˚îãÿ‘1NÇÃœWÎHÑq´à8®Ù±ù)­¢á!ëÝ1Ë]ª†=ŽŒå~Ý+wÂÅpfüŠ>l.‹~‹–ü«cÚ­0Ø3œ¨pÐû¯•ºJÕ?âÍîeÿ̲\#ƒA>ˆºÖyéc]H;jU^ZG:ÓÙÇ´XŸéÞ ÖsZ¢èÏ홑`zb{+=ò¼ë\XØaG.ëäžËŠÝG¬¤žrBuØ®ª' u«ÎLrr£97B#8ò4ÒÐ’©&ž"¬XÏ«Fôì†BÅ¡Ð@ɈËžIÎçeä*#•b–:ù ÂÙ2ÿÒ^¤p¿ƒë·¤`bÆß2þwµ‚6j!É™®{ íKÅÚs…QÄâ¼[¶&{§Õ˜#‘7¡V-N­…EƒÅYþ«Q‚·Sü?a“ί>˜Úèçqkxa¯áòHåñì…ço.ihØÍv(õ¶CNÓ ßoÝ›s(CÁµl àGû˜ëÍ`t½”ÃHÌGxa›½*퉫Ï;™ u_w ‰• Qÿ†VÓÝo×n ‹ð7/«iJ ´–4}5¥Ø:9ÍdGdƒ¼Þƒ´ÑÓcÕ¡“lcD°A G%^/0VZ“(Î;üùq§Ônו{3§Ñ¼Òˆ.~¥ï*aåpÐ a.íþiðµ ¢~ZŠF :/êt.,ìAöNœ…‘îúe¨ÝÛн"¨¸ È¥@ªÝD}¹ÑÑ2¶ìJ„§hï¢ÀÒ/wÐúŒ§¨ìÀ®»Žôï¦Û"=ËòRÑsåXÔÃ6PÔÑ'n³Zƒ°pJ ÒV‡c¡u·mŽH[šè6q¯€l‘S!a2YE¼ÉŒ°Ü„c?çHño|‘mšÊóN‹ˆ—ŸWã%iðk·¥îΔŒ^ó¢Äáú¦Ÿ±gzììf‡"ýa$¤ö`ÞÓp»L&¶Ýà…óˆóØ•(G½›¶l×sÀµØ:üöd  øà¶-ø²o;ˆ£lwtš¦YÊúq~‰Ì¤´+ß8™íêRƒ²5è‡ÙÐUWl_5•ÍSìt}ï0™rå²Çb^Gˆ™eäFD’h~ ÷é3 ±kêäð¸Ð-#·#BïF껊&›î¹UÏÊç_û=bÈzuøЯÃÕ˧…‚à ñ~:'r‚¥Ž£÷e‰ú -¸i>Ù‡QΛoÏ3ü‰G°?HÛë9ß:¹§¿@ðHØߤnš3úX—S= [ºŸÈÀ„ ÆÕA5y–#Z¦R“ì&\È…ÛOÀpÙ }Vs:áÝ«¬Å± Hõ(K|JìT`£Î5» ö"fº2»fŒýQò]¿ÒAÞ"ÎÍ…õzÄÃXª¡OC+ŽÒùZšuc=Ç#É`q=ˆÿwú_Do”[XëqžvùåøÁM“É<%Ø4oÈ,d1`Ô½<"lÃQÈž–é”ç”dî¹¾¹rÎ /©n’H“„X#jfËÆmÆ]/ḚAreŒ¶dü¹ÌÂÈŒ¨’W`|SW´¹Ö ¯å.œºsØFn™4B1ˆwA³ÃV9i¿º ìÅ3è;5Hw\›ù¼›ñoE!Úuc¸¡^Túlä¶N;Z s~ÇAc¨_K×p´i›÷çÁ¹ÈH<нÒ]Çoÿ½xš…«&4ð{¨åÛß'PÊ™º3msU¬?_G>Ù©:Œ–6t-óÅŽQÙÜâ°rÖ,æ*C8s;¶"3'•@­ÊÞÓ”}jâÃK5·9mÊè‚Â9ÎYÏuŠŒ8é¹Á8";I§†[òÏ嬌KÇ='Ý1¹êrÔ¦³‹s¬Ž˜MUÝóo»íJ0•RÕÛæ}dSÎ(yæ¼s‰K‰mŪ1ø\ÙE¼ϬØó~¬ Aœšu,ü<¹¿ˆ ½‚oƒ6 Á”E¿3¤Ù·¾ôV6¬òŸ/D‰‰0ðò•ÓJÕbŒŠ›9!cösÁ·bte¢¥Ã& \Ÿ KÚeüí9ÅZò¡óYô솸¥]Ú ›x2t…X(‚çÝÍ™Aª8z[ü&¦÷I›_ÎPµüzñõ¬ÔGY£f…ã⎙¤“AœŸpîÁ›ñêµøp_¸Æ; Ð4 '^•t.1Ê~¿uÉŸXÎ>\ÿ!LÞfÂg4¤£žäÁ7zTÙ’¶0£ðùé3LÌÓ›äòÂFדÁíN i[©ËÐs¨d¶’—ù‚c•ãàÏÇzLPJwvÍãßOå˜!­Î5iÖ˜P7+«ÆÒ…[Èqº¨Æ¢ßîIåÞ‡¾"µí\T³¶¤>´!SâŽ)Ôdêö£J';C#"y©ÚE²1˜£bÍ íN׶×bˆ ð>þF¦lcÔ¥•›è쇟bW(õÈævb}o(Ú¦•ÜPâ¸3§§h²‰¥í¼˜Œ{‚ì¨eG*¼úù™Ÿã®»Ê^/Êr™*ùª—îéɤîašµ;,“[Mݳú ¨îÉrp"ʵª§a´_óbNq(¦H;å5IpÛ ‡´=]Êzƒ@ϯÓuåÚ¦ñ$š&•òTe]O£Fgìî¹Mç\ w°NýDÉ2ˆJ´Bò> ÕÁSèºd"U•£¼˜4ÙȾeèçйÎsäK&„,"ã·Š[¤Û¨ÊØl£í¯¨Ýñ«Ï8ßÏsQòŽ/Ih^i$·Î>+^ÈèÝt¬JM»ÍzRc¹ìÞê„ìh“ët¬BÔ½á Ií8DȾh†áã×tèï<ú˜Ëj(ŽóÊÕÐ0a²Î*3 =˜K—È™¼Q8D¯²+^ bã]ì»Û{ÜÒ#z7R¶Ú$Þôih­¨ÐÙ¨x†¿ÅØ eu,›€?§ kÞæl&ŒefÞ†P<º±R‡‡Ò“éCauá­Š}è c°ÆÁ\‰ ¹Ê³m@Wnÿ±«ó9í@z‹?ÄS}âÂuŠTÓf¡8ŒYFn3§šÔ¹ª^¾_ZÜÏùô3ØI÷TÌNx@ßt4‚òtÒS>¨ÄN´ˆ®:@7ˆ îײĂú¹Hê³S}˜"­§uæäêq˜¡‹>-дG£~ÓÉjY𔑎5z#yWFÄ¢à]•03†­1RÌ¥Ú{46¬Kˆt~,x£ Rh2³QvËÉôdžͦÆòOŠ\e?ˆÞµRàz–«8PfLût·Æ‚i÷¼îºAˆÛ’69¨l ?0Æ~ž.¸Çùâz;ܼ`b¥U" ¥»Ä[´J$_ñË Ú¥µò9uÙE3ímù†2¯J}n2λpöcZ8ß¾1Ö×»2)yJy͉à g^€ìÄyÛÔ$ò ˆÙ v‘ `— f 7Ø8èæûïši¯¶gI %žÍ«:c°²ô%4TdÙN›âN,±§?š‘]þPNˆœrme>!ÞÇæàx¦>ñèÁ“çOþÏ“åOÀ$! €%¤ÑË 2ü¡9W‹ôÞûáj'ܱù“K#”s'ñ”:¯UÙ æòr|ïè©ÈÎK½ µ“¨lpÒëŠAÆF5õ¨_È^UºÈÓmö=)­ë›É—]‘â7údéýÄ ñrðòwÔõ·ªžiíQ¿Ä{ãdüì·ƒqÑ亗ŸïËNƽÃg– nÊ2I²I'@“>›"šP¬%÷£lÏR§YŒòþ>ÙÉù ɪf¹M;aezVÙRü.òÿŸ »vb#å&¬õ.ö¤µºS ºpÈç‹°W|e`VRtñœÃð»÷ý:ÀÏÓ6¡ÞŽ',ý;ªÒZƒ$lÂÍõ†—!r|Ñ[g~{RvŽˆòïCôÑlÁû ~y[GK÷j®4k¯Û8Ge@ˆÞæ´ýH8L“;ß‚ ÎÄÕ'(1)Ö@Ñ4£°–ð¥tšv—HçµqË”“Úœ{JÉÂàð燇zÔô@¸þ×Ý‚GCÀÂ/͇TôÙô¡D¶@ Ù°j#â µûÁ lj-ûzÌSãkfC7ÒAØžß‘‡<éÕ—|u¸èBˆàvº‹\ÆýÏq½8ëâ _€©"¸{­:h³2“qýe'ôž9Ó Ú€×½9 0õýb®û¤÷9mz?¸áÑ´TÄQ‡ô+”"´¬´ñ $oA‰RµÑÉ%_ÌH…­E!ÚôÊiŒè£Ö¢oLitçŽw{§Ä&ÛYÈwp:%­­ïÙa/¡ÀÿÞ±K­ìX0@ q¢¢êu“pvØ A¡ZÜ*IÎ/ìXN:s®ÓvèÁRÙ+]Alæ3‘…¾iqæÑóйÔ:¢«ðý­‹)pÙ€…oï’¼!Õkœä4 ½Ô"-Vh1K;ÚÇžp¥±Þ´ç$I΄TD7=mˆ)w³²BµX¿ ŒˆÄ q F=Ìi’iP¬¸ù±›z#FE×7us¢S_ׯ~fËG¤p̱gt©uiÙËEÍC*„ÿCkF€ÛfnOøvKøÖØuÒŸÖy—BÚC_ô¤.ÕH£RuÓ><–Aä9Ÿ ³es<Ó.1«QlT•?r®ÝèTÅyü Õt ^‹…aŠ?Ñ{ñÀž³mr,l‘‘GbïÔn"A\…èE}Í3»¾OÛ"Ñ?: ¨rKáWbáÖ0Ö¢Ïü°w„55ïf¦l f¢ŠÇÙ¦ÏÉ™ˆäÀ¸ûqjõ8[ÛU:w•ë€`òßÃ÷¹n­%®¿jÁÇF;¶Ô>)åœSÕöŽS©tMëP0DgRUtýúšCžAA 3ûƒùº—~xv6RvþÁÙ²à²åSšœuÜ'QÀßÛJL2·Ü ìF#BrG_u"' úOƼ9e#ÒÖ¬x5M.3†ú‡¼m›\¤¿ —â> ÍBôIú#i‡sNhS–ï¤Yóð“*;6ù‘J’ÁŸ^×â‰cxÓÛÿÓ¿ÿ5Ý„DÙ`Þg½¼ê¥éé‚¢,ˆë1NXi{æ-èP>Ê…ñá‡Üè>nƒz`>6S8^§*}W0=tèЧ<2²/R³ä’8‘£Ù ‘°õ wÍ!§ôÞ/`/¢O[¸F ÑI¾à!|½©_@¯÷–K¤»ž.Ɉ'ª—Þ5žk0ÿÀ![“ë3¼Ÿ/ @ €¾ê/Ó3$‡ùœNÎåx”ò4]A™ÔÃõ_ƒÐ¬õ<. ÒÍ´-†ýB§&¦l{Ø]ÃV“>ºeê‘ÅâØŠJ»"] Â7;¼kœoº2Ù½ j»&ìª_íØS¯º’T„–ô†rý(:aÙéú4&ø£fªFP[„X‚¥Œl[7ÊSà Æ@Üpo'tʼn¤7Ncƒ1Ù„•§7N8iCãBâÊ‚¹~”"":ùZ‡”HåÑ©]tà0ºîÁ…^§zOÜ’1¦Œ<ÿGk„?î‡îˆœ®¾ rï c^íñI݃»0«Ê¼¥µ‰ÿgÈU‡Ð²[Ó¿ÁZ9"9»õ!¢Ù¦™Èœþ-‚:´1;¢.³›Ô=ÌÖ„elWúO‚³¨Uø*É0ï?xˆffN=tÀ!.ꑺ†‚°‚ú¯À¬z‹p,à߬á|h`щćŽn„Î퀿"%˜ôqÆÁ|ò( ÿ©ÅþÖAø@ëБ©Ô™W·ÝUö~®XÚLUÖœ!ÛÓ35‘÷ݲA;§;é=/-Í:¨E RâJ£Š6VÅH5´ilÇì8î‚höæH»,½Úü¢0y¤­[A1A‚¦töÈê¬Ò†*”&T¶%Åf½4ìPjê SÐr43ö2ë ‚¸8±ªíDF[ö…´‡p?{sä•E$.Ü›Ñ'à<À`0ø ;…ò÷5ö !Ź§¸å™nMéø¢âû!õÞµ?ÿ?x*úþ§üÙ_~Aö×sA+He½£ƒ›R._âRàÆÜ@“ž×¸h$c:â  Xú]p|ò >ÛaOA&ô¼ÁÈR˜{²;öN€¿`;â 8âBD¦]×0{à…òúï Ã_eÙ;%Ã?¯;¬­§Ò0²Ñ=ejq¤Õ᩽¨‰¤VZ¸ AÔêÀÌ„­‡¤¶"9¬æ=Šj •Ióª?ð¾0Žxúdzð}¿+í9œVÇHÆ›ùoz: –²®t‚Þ¶/â'ùÒ÷e|ñIäj‡T*P>tà-AOûb`›¾ÖApDj ƒÞ¦îÝþ<ºï‡’8õŽ'·:˜´ÍÞ±N¸cÑ;pðv®I³L÷÷¼Œùÿ¿Ä£È%ð‡^µ„ðz%'7׊m¯ñwÕÉ쬯¸k«³¿â‹±í}zü8Ú»‡¼¶­©ÏzÝ=S7ýaÝUÞ…vÖ½;Þ$Oú€/c«ÞϼÅÏéq´~v‚µY¡„FнÄ@§l¥Ý¯ œ=÷iÔìÀ.9q:KñêüÐÊ¡ŸÕ:±—©º9@;ÍS»ó35†K!Žö·L¯*8"/k)Xí/[&S=CB¯6n¤Äª‰„0ŒT"q ‡2ÒåšChJLY7¸§‹Ø øq‡•m&\Á¶^SÄÁ”æ=ж ÖÝO–ºî¿Vê+.Up®–´Ô³¸yåw6•Í’ïÅQÖòÃóˆvÀøVՌռ”kƒÊ0ùÚt ²Ù£Ñ¦B5‚¨ô†À”>;•­ÃÎù^=æhžìÃb4³Rî‹ée8gÍaÅ Ã6’:ì1»õ õˆò÷¹ˆæÇ<èò`ž_í m¨ú½TÂÚŠ<ɽ§¾7º)ƒ§Ü—RˆèR>™ lÁ+¾L¿'»ÑðFÃÒ+w2MVÒÀ"¼f øð”v"%­úùÚ ÇËqén˨-§]#í—ç0-“Ê:Wþçy!è¸"þ^åÐ+E¸u”шÙ2 åx=ÎÞÀ¿AØÈ!îè_1ò–äœ7’tIÎ*#B'Ü÷ߧÙ|¤{´ônŠMæ&ÌÁÈÆóWÁDÕxùk ÒŸ«£dÓtís0툹à b~/¢nFÝ2’ýË(öq7<ô“ØÏË¡L:6?ôÆæMæ.´T†Š»# Û§»#_6ÈÑ\?KW¤k±D¿> TüºCÚ™Ð6&쪸OäSmú¢<4‡I®›ðviü$“ÿ’rÎñw—¦‹9{ªæÁô€îQ¼áxðN©ª|±´ü­ÓèÌžU-¸†…d´Í(@Â(ô÷›Q¶·è9–ðhÏþüCÙó»¾Ö‰¸A~ ¼@çÑ%0åÒ¯ûåŸM‘-6Y¿ÌŽ\Ó¦^.{)æìRõº¿r†úsÔ¢ìc{#Cãìk;ÏûV$/²ÕLœÍ‡êÐÎo9‹&½ó@uoz…'5 ¬WÌÚ6šÔ‰ßoLfN³‰ÊÕ¬6G¢G4ÙÙ&²G†}ço ätž ô¦é`NsRäÚGà(ËJÒª Tx4 yhä4úHU\‹öT¦=¼`£+SàÕñ5š©ÉbfÄq´&¶!~gjBg¸LÎ $Ëä-f…G„{º—7V©#¯”*‡ºAîLyVr2¤ÐŒ?×Òìw—Ç2¬–Ú´cÞé-°¹¾’~ÚçþµCƒoä:®©7ªÁc¯õÄVòXTlé¨iNhk‹ "v¢>DýœfÄugg§©%SœaHO8Täy5ÓeÙ”Á–tƒ‹ã੬˜ÚàNbrÝæÙ°m°< #ðÂΦëöðiø•"O­É&RdÃJE"„*¦ºÅa1Æ(+²ȸÒù¸Є,ãS¿‚€¶%)}.¨ä½`K¬¿q §B«j¶kkzû²7˜–ŒÁ·¥ˆI=½Mè¡.áA ‚íQb€NË8jI]C36•Ñ Ý¨šÞÕ sì¡‹VÊäýV;R£Evš54àªÓè…ÌsP_Ðh¶T+#¸ûIÿ‘}IЫ‰ƒ/'¨ÈjhG5ò€Ì~Cf“›¹Êm‘üú‹ãq©!â$2xqÞcld@ŽFjZfñ›+,>I°‘ºápƒã­Þ/3ê¡*ÒˆùíñbAXÕ‘+’k ãPÛ£x¹êσi±„-Që2¶*1&;ï^&“·ð{ŠlçÆT§Õråê‘Ë®µ,§g•9Bn8Ù–J©ž.;øùÇÍsÅ!»6.WwŽ×ÑÂ?áE-¼ÙÓªÍË$7îu'Å-ññ¨ÎÞÎC{úçîWacô»ˆwlÒ5¢ë²–ƒe²ñšMŠ?L‹›lÐÒüÙžQ‹1lŽòÞî…I¹©kY¿î–I f”3*N{ŒÖqn¿–KD¤÷Õ øý£?i×â…™¸lÉgÈÀ·27.mw2#A¹nL£{ÕC¶.P½Hg/¨µ´©tžŸÕè5x¼NM æE˜*HÃN8]½ˆæYÒxÕéi›6I÷›ÇjLíhÒßìú߱і߸FÏÅCJoàe¼Ôõ¶ráFú2mOv¿“Á!®mB"¿×É‘UP·ÇÕ'~÷X ˜'Bÿm••J ~É°‹ëqgŒïô±ÍÛFLÎnpðþŸidLòe >/A_@>LªÎ0²¤p\C£§ÜOK§`î¶ù/ßVÓÀ%/{Ëãº<¤ .­zQaºL$ò’ÇWkÿ‡HçœóW.»/ÖØô6ו©{œôì. ˆûñ‹|Ùœ&¹\d!-ÛNð½âD}E”Éw™ÇH.é|ôMM]HÝtîÜr?ÐhöÛt>5ÿhÙ§hÓB)I2_“Z5—²µk¦+U_Ù­Á\_õÜÔ~Q» úa±[ø7<™0½8Ÿ3›™ ‘ó—¸à¡¼N¦ôa‡²Á_9Ýt…Òó j }H»§-u©úÈÌÖ}÷|¹ö42úö¯ñÐcÝÓû®8Pî¢o;È«@ï¡Urý>^Úë\4ñhXÄ8™ÀÙZ0¬Eø¥*†nŒ.)[ÇÀ€° ½ü”Á4&ø|[À}ò tÿãhùÄ9^,ç ‚’àŽÌd@ÔF÷T“né°Ú€ú"\Ñ ­&¹lÈÔ9â#bç^©SÙš6F ]õpiË`7¹â°ÇÙ© \¨´ªEOÀUp2ºé®á1™6¥#8ÖXþþÓ¶ªÇ"¬ÕDÛŸ¥( H¯þHc¡®Õ(]ü“9¯—Ò¸³íËVPêQÊ¥ßU³yâBç>Ùœ¿‹HS0“žÑ\Eï€Ì[É ³ì€úzúþß° f$G¼±{èTKoRʇ!Ìn4]^ÓºPd8Ó1×dzÓ¦ÆÞ½?Åðìxd«G tòB8ëôÉ‚dÜ¿ç·ÞªÇ—yŒîz [‚ÐÅ0‚Ǥ4^JŸ¥áœõT÷~^p§Ý H‘&.ðé à(ŒüMEºAí\hÑè®\ÑbAÛKVÃð‹ÐvWðZøÍ^wPOí‰hm’ƒ(F{K¦ÿ".d"}û·j&lš@°×n+}VW¥9Æ°}¦Š‘gNPQ«/«…8«©êð,<ïíç=îS6,áèg´‰”©î€¯?GÒšÍÜ"õ™d“>«?åpÁ‰«äµ¨Ü.ÍXg´Iþ¦R~×Õ&À´ :]þiäŒ{Rí2ò.ÿĉMi‰Ës5I^ª„×@ t8²½QNáBX¼%¸ÈYñºfOÐx{+¢HP)ÓEàUÌ!³%‡æBë‰äºø $q‰Xþ:ûÁcñx–ñq Ýf½ÿž‹*WéÎM"´6 Áýoc™:ûG‹Lvp_6Y[f•5Ò¢Ž†ä¸u¹"E3¸|›.KÚß~ŠlÒM=š–šsËf4˜¨Záj¨Ä ò=n mõLûpp=Ñn'z ªSÎD€å´Ë/1—3®Ão}M™ÍX³ÝEàµ\†°ö&sWFxKðuÛÚLtŒÌoÉÅ\ÌjNã0ÑcìoŸ š>²¯ä¦›ΊULnU!9l:ÑÈ0GsœôQWqÉ„‚_=Š‘õìd]ßéÒ"nÐw¸Ï-Ä«4‘*C5J¬úxn!¼Œ#—f ›Â9ÅãÚè(ÀÝåø¬ ´=âa¥‡ƒËïÙQÌÅ€U4âêM¸Tu¸°! &)Òè  Xe'x˜PJ;’k9=Í»±¼î/³±*b”dìô[ªšõ¹„®u7mö,¾ƒ½Â«.À>Û½¨ª'Yàø³§9ü}…YOwDº®×1MÁ‡|€O÷`ÞV}« ë"e€=4ðd‰4¯ê"dêÒ<1 ÑÕŠ/wÐûk«':™uÜýȦb&}g[Ÿq0&ñ¹ÍG¨Ê‚¡qKªÄ,Û·>u›¹*gâe!:T™´bÖ„KÞ–lÛgõ3lßµ\bIýV¶žz6<Ž±gßþ]åþû>G¤xíŠp°oÖò‘ϲ Oj/VwLôÙ3¦}g±Œ&ŽÙ•[D#ÒõÔNR'D€Nc߃7*_xge"mA£ž?•˜ËçÏÁd ˆ¬í¼ÿäËŒö{C;7²õq)4X{:EÅ\äècx"áGⱟ穛Į¡Â§â˜Íž–‹Evx jÇý4 XñžUú¤7áÓî‡4¡ÚÊøÉ;Ë¢dèÒÆç?o™=B¬„/zèç<[ÆÏAžØ˜s+2ï¡Hx@†½rhè)…iØ‘/W’±£ÜCƒÍÓ"œ™V³àµIƒ|aC^Tê´§º¦FÊN'`Š )~dêÓ}‡6Ì…+;-|Ȩ6Cšp#/ÂÂuâ×érÚÚìT™,²Ý}Ý¡&;Ð:p#zÌ„¡´ ~˜d ‹âq€·n>R¥ÊqP/’`Òª2™û$ Sü{'øû”ž[Oÿþ ®2súªs®ÓD¸<ÓM0ÏENÿ„§­°taœ TÌ}xCµ,¢GáeÆt²ø´jî²$¯ýôÝw"{ñ%Hæ"w.n®8…ð[Q¤’t¿c@q#¬ƒO+Åá$[Âv`òc£DƒQé@«}ƒ¯‘º=q/øžaÜ=qdõñг!ÓósF#—‹Sç6y~ì×»kšÕ'‰´C;5q¸sÉ}á>)³Íµ®DjŠ:t¯Ž ú€ã¨Ú—…®3–§ȉ `],ý;»ÏlQ °‡ÔP¸§úí¸j£ë|«ó¥¢Ól˛՘b%*áÛsc‡Ýì0;µ÷i3)[•øç9<UÙŽ…‹' þn‡Xû„ÓY'£®¤+hæAöHÈhÿWÙl={QÙ²P53û ':_Ð è0qÄ~Ú‰ºÌ+ôŒ_#§ˆÑvXq6¦PäÔ»V½$u¶¯é‹ÚZ&Dp‰¢•Uþî,ÐÙx¦Á± S|7QâË®)ªÐLvU /_8z÷E_Æyåy?­³¤sæ¨À(mZÒê¥o÷KjÙvé{0/SvhJ£—š™ãsjÒ_ !ºäDUøæpIÈhþ¬i«œ¡OÍ+é’Å—Tæ‡ïþúCœŠîtE8]±I=Eƒu;8ÌšHò÷[‚gcÊ Í°riÙgx˜Gm®þ3Ng¡ð(Úª*]⟵=fñŸâ]¹´_ÒL1_ø¯->IíZ7ΰ£pÙÉÞÉ<ÜŒ|ˆ>c«ñš°tC¼å$4oí"ßzz*QídðßÀÑt˜"hž÷õQÉ™x§CÁ~F}²JÜжǚ] ƒ„~ ìk4¼¶hµã^4(ÆbEëMíb0bÎ+¬wa\\ÐÜ?åÅðcTã¯Aò”¶&òÏ^¸ u2>˜j‚e |(q˜t\%™º¾ädæ!ç«zì¬bX,P|Pºn"+µNÐÖ£Ò l&¥ÍeçF½è >™>·59¨— F]R{qÌW!´n…¯i'¶@„ÝXØ!îøàû§,W½tWž_÷õ;]Š0‡‚¤yŠØ­q¯¸ª¥©úZDa#y˃Cdü!-~ÃɺÇÃHO1ÁÏYé3 tR+Ú¦¶$ÀÔù$ФQ<­!…/W`öŠƒ >Ö2݃ÇæØÀ¤`ê@ùè®ù*;R³¬XÔ9)¦Ýø§ï„¼ “®ø¯éÚpÖPó •Aß#=í(j&TÙ<_ßÀÍö·R•Ø¬¡jpy¤“ÍD¾"»CÏc¶úŸ–\†¹¥ÂÿŒyü¡"›h-ÚY¶ïfþ€Ô8ˆ ³¿ûî;g“û„ÕNüNå)É $‹å;HQ)Ì4ú,¶EaÖYï\ÐkŠàLu/¢É‹þžZù ¸Ì^¥NôÁ fo‹¨ì\sÙ»”ÐÄYJŠg¬Q2yìÏÀ¶`oCσ€äÇœW}"wœÌtí¼ŠÄ!C÷‚‹Ãà¿0lÅ,`$’§m\—íVðŠ¶ebw€Èqu @ŸÙvà ¤¡:ŽÓ½1I^‡ô"+¸|×bݪ—Š ¦É šðóØ&_dZ„ž £ïüÈOw´@ÏìIÜj³Ã[Ejô†æ š±aœ þ:T“¥·`Ž'–'émÙ%|‘.·_r[dÿŽù¯Oü.›?)žôÉ#ýÆŸ ';ݳ©¿•bõ+AÒ•» "4e–Cä ÌÞÛñLèÔå =D©1гW*²t¢á8û6úÎ3@ž²U ˜Ê[v<ÑLÀ®‹"hŠ·O^=¡§U•TÝ}Ø.x2ó¯IÚ#‰6Y«eBÓQЛÔ;¸î¿ªgV‹‹:”= 9D â2²¢Ò5X¥Äbàe[„¯”1D;¸t5—9LR>L‹ }¢Úê8Sš`b8ôŸrF»xÕÐŽz†p1R»;ÝS8fø˜ üžŸ…“žIe~Í ™'#ä>PG³,_¹§¿¦Åz,f½R¬´ZÀ ª}­&Jü wl4è<F¹Þ%Úw»¥è¡g;™iØ7mû~AŸ wIütm¬ïÛù\ÐÛd¶Ál£ŠöO‡³™ž ê…Bâñ×fŽóý®•îšóajEc)œœ›h•¹Å(õ±vÒ.ÏCugG[ü‡¾Ù{Ÿf#3ê·_íŠìªF~uÆ°T½³¯ÕN¨ü!FN_u7qMJsH;8Úœ0Í}Ò$¾Ð¾Ù:i/80àè8g8q„*ÜÒôÓ2I:^&tnBžÞ%¡Ý„æ’Ý¥."1Íõî‰GÃáêj@i ´#¨ÐZÚX6Ý‘>&aÐÖ¼IƒßfGVDÐ5kWÓ–­xñöyƒ¤?™£‰•«†¤gÏÚ:WÒ Sµ¼µÍ|ƒAXVèk?7B]«Úžö™«pŸ31u}öW;¼ãkúS•{挴=ç‡í!bK%™ó*JUõL-ø´9WaïDï u’îÒâ‚Ý•ô¢¦joÃn¶âø‡°ãµÞžðWÑ¥™ö¤ ·:v®îÒÿ¤E°ÊxlJdÍ3LGà| Lž$¼o>WäK+–Í«À™50b÷€aò«]ÎEøLV’â©E¼;º"Rb™ÞIÇM”átv히aâ¢/³àìmñ4Uª§´š˜Àí‡.ˆnïYH·l.uª4Ú†Ö˜Åqßc‚¡§î(n7*ßîœP?yî·­¥LTS:&Ý¡<¦'Ô&ö¡iÛP¿â÷vØLLmžå-·»ÍN"ë®ÃL|Âa(Ùî‰Z?2qûr‚m)·´`-CMDbÐ’—Á†ÙÆLZ !9p~ÝÙY(½>±Í:Õ¶T9 ? Ó«$œµ‡˜OT6S§vMÖ‹Ñ,GÄ8µòa#F&=<§u73 5é^ëA‡¢I ƒCø#Pe‹|»¬Åê­3Q\pè .ì,Š™ â?[š¡}ÌóºdâåoÍzû?ÕÓWp?}»y›iØXÍR™¨iÚŒVø\ FG£Õª+@¿6¦¡Ò˜JЛ/JšÃs;1uß3oaǶ¶Ki%é‘>«S)ö©ÿN…ñçs‡ì;ù"ûŽþª»f#xÜ 2&Ø`=òÌæqL3מ'ã>E"ºæE&Bð×— ügT÷¼OaJ= ‡³ ÚrÊ4myûä€ð®ÑwŸ¼ÃÌ4#ׇwøaàÿüß»?†Ú ²uR\+„öV‚}{u÷çíƒçïÙïHz8V‘DõÁѫ–iˆ› W¸½«2ú]På"±4 š>ºžD2š€h*i#{;a Ec3£¡€ÿ–æÊ®z”ùÂû)5CÊOþO–Þ[4˜ ^ö!Б|ýî®ÒÿŠ¬6PŽ2ªø”®c†ªÔIØû5Â4ìY¶šGî,Í°¡û <7ê™»;Ù +°äæ´ fQÒUqÀoÊíüRê’âô«hÇ&L@ׂ¿v«„Ú\ãSœÁG7¶Ð©öà]R·4OÄ;h.œ¡‰K;QMÔe.ì‚k ètŸã2kï’1c­æÐBTj¬j—ùk':% tnfmifaǃÆmƒ” ueŽTü±qL^GGÙ3Äîâ`ªö8× sGbˆh¼¼«@ÄTëh+$dˆÉ]·´û˜DÕ‡>F”åŒæ† Ó¾nM-z™ž›u8îu•ýjWq;å(ÇaʇÝ&{ɤ ±CÀ-‹fRá½³èe‘ê"Û\”mœHèÓL1HEɨó¡Àq'¯sƒÒžÄlÚäÛº|îîÎMÇfÅâ¤÷šsðÆ¡CwšŒk ôÜ»Vhm/ŽäãoPqø§aE×Y}‡é0âp@>¦©e›é -«Èã}Åɘ7ŒXH\e>¨ŒËâ¨ÌUr.¼á¡ù8×"™:àõM„%‡_gÃüÜuÄÞij:†¶á€+¦±UFùÕè_VØ}n²äƒiàÿ—›þÇ·€¶™5ìD·ï$ûÂPˆ2çèž©*l–¨WoG${±V`en»±GÈú4‚òF>ó6q‹~ 2TN)1>j›[±ÒñHVËf1ãÎ%FNb¤ÕïýÙu×w4XªÒ½#©¶¤•í-bC^‰åÿr.(´ûÃwOi]wÁ%´JÅnt5 I‹¾•Ø‹§ÈÑW[áŠãnÅ’47$Ÿé^=E|%­Sˆî *Öo…o÷ ©)>õrèUŽ bCXÿVÊGf§m˜ ïCÒŽŒ ‹'ÓâC4ÈJ• meM9‹ÄYE6{~xHõMŒmŒ‹,IÔtmlHÍÔµ¸¹p ß;› û-@EX©2\TPðI«HËÀVP-h£ÙV’Êú:Ê!ˆ Lj¯] ÁäÀë? żR°Þ²‘7¶T=ÔóÄ&êÐW`ÛŸj“ä$ü&È‘UÅ’rc ·¢î]hjFªOÌü€Al£U6'}ƒd™Å~¤ÛHÿ6˜’ú|Üí¸VxÕ¢0ÿD=ÍÜâÇ(ô¢] ³çÅ]8äD›>ŽAæ¶aÜ¢',²YþO¯îº+ÚŽš™.ML¢lÔ]¾’S6®ä‘àŠ‡8z}8.;|—‡»©9{·gd:ªöª—àz!]Å/°¤iD;•Hr'j(˜ÀqU³IѾ#XŠP**ñ—Ý•ŠÚ>m/¦a+È7ÄS1\Á¼²”qàˆo¼`‹Ÿ)Ãfëö.›iÐmR7J¼üwºú!숩C“Ò±Û²æQ?ÎßÑØE+ õS•é#К6FlÛJÞ—VJT‡ ¦ÒQ8Õá¤à°õpy—–v¹mj¯¤ÕqZúÓ® [™o‚b7ÿý<Ì^œèjv/ÌÅ]w6ÕÕŽO›ñ‘‘=ÉØŒâq½Œ¶ßìççãä­Q¥zþW¹Ì„›³°k»žmC†Å\íÀíxµÚaoú¹À.íöVÇ%€dˆ%\2¸F‘î˜db¨ ¦mÈ’f6+¸Î=׳¨üßÂÑEÇm£áå¢òþˆhƒÇn í7­  ½¿$ÆGŠqw—äÂj~ÉIžÆqP‹¼«ÞvÑ ÞV¹-Z: Œ"®™™Ï¥ñD'àÇ`ΩZÞr 6 Ä"󹕰ky2Ibs „4”:—`’­=/zf¸$›B xÀ“üí‚u£ìç¼Ân½”¡õ÷ûÎ(‹Þ3¹wã®ç_ª“x&ܼëí®<Ú›ny”*êˆû™›Qôwj³¸[¿Í‚UóÇYø3i—„4‰ã!@|xÇ5êD“T^lno K–t™›Ø5øÒ‰“{äûhÌr­öA-zÆ—eеèá–ûªU8ýsP#·ŠÚÑé€áW†E%0@m>îc¯«5ê±£3OÓ6æ°íäÜ9†q¾àÂ/¾–OuH8ˆæ»FQÑøg×_u×1ÉÎÔ̳mê¾ÉÇD[Ôf öSHṲ̈p»G¿Ê?w¨ÒÑ=‰?ÿ ®sç4牡q¹Óã%¼îqÌ(±Z|3W—ÏZ@5@8Ÿ©§Ku8QUÒ5pÍ|ÁI¡¸?Zé®1GQ­ç·¥ºbø±Y§§oTœ`9ØöW¡‰vl`³ÐÆ·lr㶭BC}ÁH1àÑ‹‰cŠ<4"ò—xéõï2ðNŠÏ+³W´–b{)Œ‘òÀ R –k¢uÀ-“Á¦ïêw`ËÕÏÝzP™É¤÷¸…uw~Ð1Å7f½¾l†nN 1,Ø„Ç( ‹yiû‰ÒV}ÚO5Sv‘kŸ^ÍÁ¤ø‹¯¥×ý)²‹‰Ÿœ¿Íz[0­þ#9ª<÷ýò­ I²vÕ!Œº¦¼ç0øTÓt÷¬’‡? "½»òè&{+Žp+³¾9¥?¥°jàò*US´ÙÛÈš…ò9ô·Ìœ¤¹âüг£üÀC;¹ê†inzž§¾@ò•îzÀÛzalZ(ĉ$Ð8ž!î^Ò¿áBØË‘.€ãÙίupœjŠõö÷®ìzWÖYÐbîÛÐ(§OÐçr+NV*$¦ãÆ]ÒXi”I 5UnN3?\8…áîªa«ãa4Ue¿Ë^µ´´b‹† “Á’Öärõ@Áƒd£Æëʪ Û,{¶%…Ûd/ïÞ#®o»«ì=s5gûOâ§FEç½Ãwß:|ÃJ™f¾2}Šëk^ê˜%hÀ>Mãs"ªÊ ­y×7Ë0¾ãž©DZëƒ÷±Æ}ÁjW>ÂØÉÊ“òÊ‘õl4ØW8Ä®Ÿ˜8 ýä W~ãt×]ù!–Ê°ÌT]Þ†0ïºÂŽ-jKsn¬±Ô_«…ﬗÁ-e§p -~Ywƒ¥——þ~,Ƈš ©‘õž“ÛI6ãSâæaP]aqbËþ5CÁ™¤ Ãt’Ìx¬[ÎY‡ŒÊbô7.Ûo9N͘ñ›ä¹ø)æ/Û¸-qPÍn™¢7v®g ¼©_xCaã¬ZxÓ²VoÚW.ìÐL¬T¨H©²#3VìJ‡½þ9ÜüEô)ÝܨÌ9·gó6‹‡N‚äñ¬¬1`¶-L PýÊ·aúˆÔçºKŒ*”ÊmMÁc&º$pÎõ,^Y,ª¾ã,úÇç}Ëá³`ÏŒŠ>ã@N>1È#Ñ ½rçz[G“X×’vÙѾ;í¥y§¡¹òç¹³ÉÐâ7Œ|™+,ÕK™"n"JôÙïÿ¾$8Nÿá\ÐÓâf•Ð°2ª™¡15k‡B mü±û;Î1%¼›éÌÚLJ¬º¬·‘óê¶QOsi³i°Ò‰£^üzåÈÒx(ÚFlIšyâìZ3o§²D; i·»ë§ÙKšfíúTzÖ7.r<Ñ9·4gìév*b!è{6§&o³ç ïÙã Ñ(§¶9å” ëïU ¿¢Üò:ù¶” ¼ –•_¾¼î/Ó:^íиY%waQöuÂP&ü|®EA<=>ü2u<,{; Q¦×ÙÄÓt÷T&/“ìAè‚ÆÏ,/c{¯tà@«~S æéa¨G¥†öûuqnôvϱËãTø6²/«'=» —_‡®^èâb9x@´Î–ÚfUÙ“’û‰ÄVŽÊ®ß=ïLð<ƒÂHvš\ZŒ¸¤WÂQŸÖwƒýYéè̶”ÐZ¶4°Ÿ%LVŠ¿ø°R-Ͷï4‡0:¢E>ÂWÂvÛ[÷Å~ø´èÏâµê’¿Yöý_â(%-qŽ2ÊåsÀÝŒ¹ÂfCp…|î »ÇÈ궪‰"Õ¤ÑÜQ=x‡Á:«-m#i»‘¤¥¤ è8Û§3l0©¹i›&¢¿p•}0c{" tÇìJ@jÒwÇO~ì<€@›OÏš?ÉqLÀ‡hà @Ód·Ò?âÛ@%ð3FýŸK÷³žp@+:Æd'¾Êb•$•ÿ˜P‚hørâë5Úc«õ¤Â˜‰ÇÚÎ"ò Ÿþï'l¥9<¶­Fཙ!¾¨faeHaX0„ªT¤›<Ÿ˜N¯º«ÇÙÛ:Ð1®8  –ð”b<â©Gúõ¯{[«“Æé¾=Eïé…fßí 4gÑ8Þ`)ï0rµ¦'3Z›Þ#£·0ø^êSé R3í\‡b‘ÏV"º(æ¡ŸSO8iÀłЛÍJ‹ ‰K (pï$÷;Ieqì }±j#ýŒ*{Kû€ ÅA°P0 ÑëEªqhØ‹S š.êøWý¥|_ÒêOÂXÐzNŠ×¤Ì•¶–Sß)roל{JÅ·‡ñSúš5ê7L`éøâ®:çq΢ÚOè©·-C§KS/þæa†ƒEÓ"|A;6æ]eQ›ÁK2P8»ô’oI²…H/ö?S OW‡¤õ¾ˆ¤C¡¿À0ZjÆ7ãfåÊ®æa'²ã¢è‹;…4îá¯J˜Ni–X£]÷F÷¹7IødF-³ˆ5¶›eo° %m'?áw¿ÚÅ®1ç{šÏ¡²×f¦9 b´šÞÚtw¨· DeÞ‚MA9ÏlQÀ°: öÃ9wÑ~½ ÛØâê>à¼]ƒ©ûë\·äq”׎‰‘cÅo€‚ªF-™„%5»pÅMâ¾c¯úˆÐpÑèFܼøeˆ\]UbŠA¿ÉlßÒ0Mð‚öá&¾èÛ¸9²;Œ€{ ib½Ë˜â9zÁŠŽ îûl7:Ù¬àoPãMdœpR»ãáÑ•g_Þp—X¦vuŒôÿïÁ—FÄPà#aÄó<ËmSë°†ŸF:!{щ|ôTZ îGöS÷˜£nïrbì5Žøç„°'¡Ë]ÝõI³áz®Ó™5œ¬kΩÀÙ9ìÜ]«JÖ1dJ÷ŽdgjSƒÂÝ "%¼îsð‹åÒî¼âRwaW¿\œ¸\Ç5ÍlÖÙ‹6ð q*ôÈAäqØË)Ä/U©vüˆ¡Æë1O³Í––γ¼G?Ouqq™/¤oÁ ‡„£%ÿÞÁ4+né‘6¼ÇuS ³Æ¤ùûBy«—FÖ î=ý¯Q5ÒfÕ#˜ I+œjáAÈ’6Ötyg3¶yú*¿¶3Å¥Lð¯Ì© êð-óÑè¥Ò{)ÕMÄ͸âÝ èÌ’é^¦“º¤wïªçIÚÉi’šš°¡÷51êûC\ÙR¹Kcœ³9zÉZ"¡}ãÓì•_±©5=mIé<û½ýYØäÌ_@ÔF±ôN,‰î .^æ^*À^ôŒ^ÀÊ’Œ‚HÐ'£H×Ë€‰L_KÈ%F†ql\ö€žGïvFh¬!t=7ðD–¢èÚ*oé±^Ê[$«×Õˆ‹ƒÕ¿®&  `ó/ØƤC ä‰ÒäÚ¶N&*¹¹$¬e¤ö)ŽÓñì|¾ÒS˜!Ù3ñ9ŸÂ»'?Ü„t07£d“f­xÜÝ‚QGIG(‡¼Ó8­)ÐJHð>·#•/æµî½ O¾ü½{«'AMš¹îMøMÝTÂÉ=ù„v!lû;‰þ¨PIšò7æ¿Æ9’ò+Š—h–òÂ_ÚuÙ+…·R…º@®’PÌýf½4Ùà5è{ý屑µj¦£Ü.ÓÌ^ÜuT r<6µp2¹Ì€Ö3áP¤©"ß?ä$¾Ú×Ý5ëâ¤ímÃ:¼¥Rþ0Ô2îìé꺻Ê~çRcŠÌ áóB º^ôŒK›æ—áîñ´šg?Gf ‡òfä1g÷¥eØÔVN£(𶤅—K‰žvÌ)÷t ¿ÖaíhöÀÝÃ9#]È€¢ðû‚18o|ã¥~/FšÜê´ŠpÅ»™‹®è+N€z+Ó´_ øNª½:ð ŽJ†6™ðœ¤;¬ӗB$šŽ¾éÙ]H¸A­ôàGéã¾è/¨Nò ùN‘ 1}ƒ<ñ+—à©^ªÌ–®MÕk3|M³´ð9Á^[‡/‹ï·UÝšfù7÷Ûº×,µÓèº÷„¢x¼8ÕÏc¸Ý¦ \e?|÷Ýw²:ÔLÀî¨axÿÈ2„N•ðí¡~fOø¤ØLi–ÌÁŸ‰” ˆ Á£ÔÖ¾â[ëÑ´Í Íðìç ôº‘PTÈü÷..òE¶÷D¼]£V4…`ìþ­sá!ôøEra·?6ÁAª‘áx’²nidXØ5´ƒ­ºvE×*‚*s W¤Zka°1ʼnžf%iëœV|_µ¹O,OqL³gK¡qv¡G®Ã_‚krÔŠ½.>wµ¾ì\‰¨z©…¿$¬æ^W¶3ê QiÙÜs; )Q¦Î¨ÆMû·¹Åw¨Åö¢ç^…wqýyÖžF/+}“ øf³Ú‚KáÑ£®íèc­¿kçñÌF©lpL»ÝI˜Úï#Æ–©h |ûr+ØÆ.°Ë7|Á‡KŽé1ZV$ÁÖ{ìˆfØVз9mͼûœ|Î.sùˆ®Ïgv¢ëÏÁÆ£½©Y@Gç|Vä:Ó븇@OlØÄU ›C+ÚRð¥ú!!mé6À¹Ýp ÎÚc•MÃýÛ0°B9»€ö ?³àîßQà]a˜‡÷mÕTÑ4!ïi¨sŒ‘¦Mæ)»â„SÝH™ö{²Î.;²ƒ§bþ¼/ÀúÜ$ÙÿÁã»ßþ6ÊÈ‘9€wXüƒ²"4cs^Þ›QB½N¸ª³¡ 'A6°¹óš—^lÔWD7IIàÔ§SÎ57™¡wÀÒ‰Z‚?^°V5FW«áˆ»žmvTãu„ >éù3ÑáKÄ©4–SÒÌù;ÉOq½ÃÞë*#þ ‡näãŠÞÚ9@ìä2©ã—i ç¥ÿ3¡d#™°]¦Ä×hS!«õÛîi_tNVÒæxRDå¼mŧÕ=~)Fâà60ù4ëz,°É¬–wSÑ.2 7a¬ÞI¥n ù„:²)?%|C ¥MZPÙEðuÅᶰxQÍK~2^‚ÀÚ™‘³P'ØΩ]ƒä¶ô©ºîŽh_Új,UË ä†Fƒåëhmb¢é[=™ØY¯°Èy®J7˜{ŒsFìÇ4>JðdŠ}„»cé“Qñ­ÀßÁà¾O‹“ „ÊFç¸k\²·«r Ç-Ç*æC¸[ –´ÈöMp43!Ÿ2ÒîáµÍXeyK¹­e ô=ÖlolØÒuŒ§Å3ŽŸ£.ÓÇ‚#5œµ5ö\M˜GðÖÝðD²!—æt]­¿¦´þ ì¾äy*Y>.¾J]Å/:0<ü?ÜuÉ $_ik¯ Ó¼4Ms5B²Ï";Ðmc=ùô‡ÈtÇß_×¾¬< ºï„¶f‚FÒY«ÊÊtu\Cd¬¢ù/œâ~&Èdþ•¿ƒ¿³ Oì7ÎxkÔh(4Ÿ°z·!š^Ãó§Ùß4p¿¹ÞqÊ r‹K†…5û#ˆà&ך» "¢Ö(»þ7Õó!ißöö½_’Š]jŸÕ8Ä4½´µžO™.™ozG¼Â,˜^­¸+þ|¼y†íxCúnâ,Á iS·ÉÈ€Jø Î{fï@äâJ}ñ8RÕ/‘Í5¸ZÅ"PÎz²M;-˜ä±†NY&²Wª<ÍAWž¤È¹Ê²×zŠ.(ªü ØÀZ‹Ë ¿ÆC½oÙGV®ø8¨Æ¶ïU©ÑåáØ)›¸äßO Ò¸èv¥Úìï-R'‰ßv/o°÷okYQ÷[…qçm4VNTuŠ³#s²Ï-i~¯@3oÖAtÒ®P(h#µúÈÒÂo'ÙôØŒ‘m2&0A‰’E`ÌôAã²µh¿É›J1DiysÇ€:GN¡Ú·‡Õ·“cÛÛ¹¹É!-¶â#©ìïÚÀjBo?˜Óšgû(Sr>¬³\7§ –\=”kV…EUfIÎ^U±{¢ÒuevqϽCÂÓ ­dïÔp(}•ÀMŠ€Ó"Æ(ßct‘ì,›´§ôK3—’šÎ©èK§®N;¥Ë!pÊMÎzelæÄSú›¹j‡ìr·Ióæ¹ ÊÕcl˜vÕz|EÚ#Ò¦­= Ñ6(V›ì¥È¾v—!…x½ROÔxéD„µç„Ä•@Âhqš›xŠC/(ÏßÚIÝŠ4Z´uƒÉ‰]ÔÇ'ÔJSDk8[Ú \ŒK!Pÿ{—šr4 ÍHß”¦’öc¦:Âθ‡ºßÉÀQ0‚í)û9Ç>YÈ©‹Ly¼“~[`\îÅavÛÉK^›,ºn:ä¯vuwAkÝG5‰]ésº|=tQÉ‘GŸmù‰úÙ£%׿¯„ðiößÝ1ŽÓÂ6è mª¡gZpÅìmšy e»žK æ·¯š×PöÊÈ—Cø»à=ÿ—llœ½€CãßìÄH_ü,?ýQös ï¿Ã×ì/¯ù?t±„ÔÝË¥¬ "'ñ'Ñ)à⮡Ûczí\›1˜ÖÝD9d Ž•é …a쇿þõ‡§´Š3僭ÛžÚhº¤áµ£ÚÑÔƆ%©`È¿ñ1(ÉûÞà°CGg³¾¥×wãY„Yéà¥&³.²]åË^Rf`¶ã LyÛÌú;ižÇí³´½ÍãƇ*¢ND÷»Ý5rÝñÆá ±í†›ób‘þk¨f¤˜=Å|¯[ø_LIM‹-0ZµsZåæç:uÁŒFáŠÞŸËgS“š%ï0|PéYç+†ÂCÒ•ÏL£º't}í:ŠhØ7íd­X¤/ç“Èá˜=`†hgCx.MŽìI:©Qr™ãbŠ‰¼Ñ´Õ1³E;":±³sðˆ‚úïÝ=½t W<œŠD(jÙk§güÕCG°åòyi&…âEv:b[ÎÇV%$Xî~A VÁ:h9?C‡‹¨Ûë|ñ"µ¾9tí%˜êH˜âèeÜr.Ãö8.¦âŒ&ú'~Øñõ>£õ«ëž«¥ß`Z=Ur’þeðFån1ŒóÙ\!“·0]„h=fcákO*Q}=¡ågnãjGÐ̺L™Š†àz­dëiñ¼2‘ÈþnZêqº°=¾L's'›Rbnzd¿Ï¸@·jäê¶S4MT9ŒîŸ ˜ëìÒ·}^uhùÑhÁCËX5 \ášTl1HZ‹®2x°ÜvpÅçlƒ¶Go¢E{ö¾Ôž§è¸ªÛݸ4ý^q‚Jlú²´·Uã ˆIS8º·Û†Ód„g‚«,aÙ¥Ý[!¢KY’'vG-dÔ Cˆ…ùG«ËÑ"y}Ž®ä¾ûÚž°}"žô8¹`ÍdÀÎ…7ĺÕ1Ìñß°— 'lë”®Ûî§ÞD"’6î[ ð@˜9”§â,ÂùUì`îïbª¼ÌRÀ§ÕpÜïÔ¾G'á½YÒÐI*î3 ÛÊ6Í„CW“ßó²$êƒDbËC>œ2*hqI¶ˆ‡¬ê³~·ó=IúC'‹#5¹gOƒæ(|褮ïôÈK­Òïš#,ÄWnÓî:€&mÙ‰yà°¹©âaˆ\ƒxòÿD"n|„ã—)»»ªV„:ˆ ç7À9Ûû]Y0]¬ \éŽ}Q+e¨d+ºîþžvõ#ÓkŸ÷6oÔDÿvÉûèå‘@„ãÒ:Ñ^P™‘ŠZ–{ó¿Áí¤sAszÿ`ðA@9°š§¤ÅòdÈ(Ï–ƒâÓ'R"Ð.Î*ü6ëàüŽ›~œ·ÅLxMŠ‘ð«Xõ0gÄRð9K¾šçósÊùFó ÜxœF\ëD»¶ºæJÑ‘ N8˜ÿ«…Ò*jöeRÈ—êHåK¹2©ù0ÀO‘sa"¹ Bˆ |²l+´cé×wÅ_f?~÷ýôÓ_ä›ú÷ïe…€lUjRŠt.~‡ÄÏâÐÃ鈾ÝÁÌ›á£Pû·¤< ÿî…½î^'knv¡†}JêÓ´4jA#cfÚ÷¨,G–&¡!¹Ì@ûm!­ó·ƒ`¤8O¦Éë›8Ýn:*Ã3Õ(xVͧ´”þô§ï¿Ìj?í{œcŠ³ÆànÚ?s#ÓB@Zø@&;Fr Yä`P<6J$‘¿Á2Ú¼ÖÏ¥¼VxÒTúFx¾ÅÚR!ä[fîžB|€“ÍømLóìˆTä)­ôî*ÙæèCÍÌÌbÅ¢dg M¡nDh˜É•÷[À^\0‘›œ6´ÏHÛ@»m1§”P–àD;‘Ê;ö/O¬6É'` ŠC;GJœ±Ñpƒ9¡ß†írf…ð¾/G”!õ2¡pž.^=ÈsX3ƒ…¸+ñ/QtEرÈQi‚9K¼Tžm«tß´Â( Ò––I‡mÒã€{Ö‡Þ8Í[(kã,öbH™éd”'´á¦ñ¨’­ê‹%xE  ¢¦ÃßÙaИ¾ pí’©žÍL‡ ¼3WÁù¤{ÐÛ½2½éݧÔ7øv–«©-Tú$r„»!Ï´Xv¼ìçFõÈÍIrš¸˜BÓì×îj|M—‡¬ú×ZÄnéÃø™ 0Š|¦0"‡®HŒñÓÍiÊl'ׂ¢ûª+0µùiÖe;¤þ?Ïø[©íÀu扔µø§“=EˆÉ”Š†P=çð›Ò7Р: »$<™ã"7@Xñ4ëžüg™jú÷¼ ?tÑ]±G™ÛY {~Ý®3aª¨Ò\ƒÕŠ„•ŒÝ v`ÔŽBKÐÉß <ü{Ìÿ—°ã hÐÍi:ñÿ¶Ô„ œ–姴NÛ4©Â'!?Ê?N³(ú;]4HÏB jë™W!ñìs¯ô¤§Aÿ3î ºm¡ñŸQÎMÒË%e@̺Óöµ¯J—ì„—,(½®9$ÍçqžÁG²H¾”†Î@Sš³7jBCff²vÂi_¿ÿéωߣ+V€ _8›~K"šÈ* 0(gã tbœ°QàÛŠš6Ìü8š3à}#’™º#Q[ólMñ{I‘hwSÛg¥×?ÿŒ÷ ƒaŸ"í Èn;ø˜t¡T¤é-ì(¸« ÆÙB,"ßáÇ1Çé1 'î<ˆ'÷NØyn Ç-˜ãcªƒ_ ´c]…àµu H~ãFòÎÙÛµWZ M¢¼Êôð“gŸìä-øK° û00Æ SóaïK;”…ÑÒr¨¥Ùú2$ûÚF/?nÿýJO9çñ'­³_™cš¢–œ)¹¦<…§Ié¹ÕÞY°%ò…pµºéÜxA4JŸ ¡çÂâS#× eé€l»Íáú0–¯vP-ê&˜zåS–¾’ÏR*Ö¾úO¸Ö’Ï Sâè¯iìÙ SU ÜÞвÃn¿¥&ûóÓìç ,óSGìY¨Àáz©+ôHT£±e¯uùáïKì©KAÐÐÕ¢Q:9ô*ATú0Í­a×xÚIOägEjé.nw®}ìAù²Íˆ‹EöåVÔÁ4­M…ãƒ(ЛJYø=â¸;zêºþ†Ù°¡5ƒAk‚“þ ƒ™…FØ‘>BÄB²YckwæÝà 3Ü}K ©)†:„GÜï‰&•*%»íà § ªÊN^etN›9NÚô-Ý6ìÐ*h DAæ8¡BšJXºÓóû¼êñ×F:{;ì@ÍSÛÆÍpüÏœŠ•\¼€¦”B8l3¼¾¾Å¬©|a8¡í ËàÚ¹žþ?Wà­ì¿Zýñiö¼k‚cšøÞÎACC“ic×"&°IT¾}¡V6seâÍ]|g^W–2†šÆ®#+iö7Û€Õqag ›QåúlaǪ›æñ™­È^Ê7–Ê[PEý¢|š)k²IíëiŒÕ5ì`T´È*!jÒãžÄ›4ðfßJžÓß, \ï&=-o-^²…rÙI¦X#MRdx‰÷ž±íYÒÈ°–ÃëvÎ¥Ý#]Ìl!òÙéŠ 3uvþþ÷n7?ÝÙMÕÄV6§Ù´¤ämÙ°²_ØÍuQˆ|ŸH(ßÐKÕó\úGdjÉ‘ní]A‰sú0e°W§‚‹¶ûå_íÚ8‡Yµ¾iʘ#Ъ Xî+D•Ž. V}äÊAô‹²Ã‰ÒxŽ¶;´ôÆèãØQã ©y›JðžnŠíÐeçr)dÃç°£)ÒÆ=Œ·Âù”6¶¡ïX,H3²©È@‚S¥MS—­ ƒp$ÓEïŒÎS{(Ÿa=k§Ò×6ÜU³ç£Ïºp®Óô:!ï™'ˆ˜5Ïr-©’˜_ÚåÃìµ v-}§xˆzÅÁ‡z(¶cvÔâ 4FŠÐSÇÔÒP.2$M'Pv|¤Ø!Û?Šõ¾°kõ8NßôéueÑl5› ){x©€è"΂ôØÃruW‰Q‘Z…˜sÏŠ Û*á´ƒËv4bs¤”z넹þ?qý€®5íwP¯Ç>&8¿õáX|l4ì6KsPÌpcÁfØõ/ãžÈyÓ˜™µð¥¥¹ >Ëqª²3nâYWR\ÌòÿD„ýaŸRÅ¡ ×0žÐdZí\hKÿs¶ >yòä?cÃÑý/CÃßݵ9­95í”þ*uÁWB:¢M7È™u©úÙõôoíy‘½Œ“é*ƒ›8T;À‘PlBÂz•:‰V»D"Õé_ÝcÑ8Ûiξ¢oh3Û}͇^ŒW.OßcRöáú5 y[FÒNlˆððM5~²Îm)ÒœcÖ–ai|ºáô\§,*¸Œ¾6â|L ¶\F÷cƒ Œ†ÍýU¹ü 9]UŒît_j ƒ¼¡å§’T>öuphÛÏIéJ~n=üÜ0/eSu¬²Íµ)v¤Øî6š‹JÓwk•4ö4ÝêÐÆq£èŽ}èeí½á/Ÿˆ'_ÖGG&Œ«(3éÆògH@"^Y˜µz—×ý¥ëŸQDþˆÆrÈ71O™îĵ“²c$š¹ÒI^ˆè¥ÁÈáì³UµÎgguÿ˜-Ê ¢­{R2˜ZRßJĦ̧7;SV‰ ˆB¨‰„¶¡í°»gmY’ý@ÛÐq;rÞñÏ`úVùo!èëDø•¡6mió¨ËɺÒËêz™;‚tO”r$ü£ˆµaý‰¯A{=Òºõ•9 Ä œ&g–¬+^²¯b~Þ®‚sÖ'`ñ"ï2[{×~)Dú¸õ–°~Jí+¡Ì@åÒ¹"âÓöð0?£áf’ìêÅ'4jL“5 ÍΨë ÑóZ8¶ß¢xnñ£„+V‹.È“íh3úôïhJ`ÛçJ·¤'´b(þLk!)Ý•>c¾zO+ñ¢Z¾ç=íƉŒ¡´ÙÅâ¶\yClÛð KÔŠÄÓ‰W˜ ÄWDN¸7à0D C_aóeþfÑ´–€¶eùã"KN<”úM°ÕiÂ'q.zù){½åF@ˆ²0{0aÙÒTŒ#Õ.¸y›Ô¨éR•E6Œøû8 _÷L³·ÄÉ °@¦•˜Ùìù%øOsJãZŸáif2÷8¶yL¿¿¢¿[Y™#›Ò­ø€úTà`î´Œ• ²íʃq+:› ±Ê£MD.NMç8°õh‡ñï³`CS_Y+^ðLºÈ@ü¡ëþšt2$tÿEtÕ¡ž»4u €dPD§?÷›€~½È*+2“Š™«Ãá™ÍL ‹‹°ÑùùwîÊy÷« )êÎv "àÖE ™Ë( ’óO –¾ÊžÓ¦¸<’¾Cßx‰;,Òõ?Zœn!Fv,‹ÝŠÅæj—§çBßd)yàÓewrákùÀ‹ n:›ÑÀ©‘…2¨}_ùHƒWs&¼ÚºÌ}âGþ¥B÷}¡ìbô-Iùn­ßrœ¡ò6þç2}AdÔ,椨қˆuljA"V©/;¸6º˜óbL–Ò™ô3á–w™WLI5ðuD°Ð¿FpÏ2ÕÌUQª;ƹÄØfÜM®8Àe³ùD>…ß–x/’ûÁ-}H+@Zùçª šô‡ÐŒý¦^æ{v·l Oᛌ¼ Æ¢ž ";¡~|¶¥D˜¨ûµ£'q[Y—²*»B»cÅ¥f–±ÊW"RrMºG k:±9£à»HøâjOW[É Oé;A܆¨ñ/Âа’•ÿʻØFªŠà"aöŒ»ño:ÐÅVŽ“%#ÎV÷¸ö¥nS˜çŠ¡0q·³‹vx=ŽÇ9üÁi!ǬM{~kç Ù<œÍ$=>çæ=)*âØôj€#?Ãïqs¦Ãç°¤n…(«#kÌa¿KË;méEIÚäØÀÑÓ ‹Ê™>‰‹ì%?|ÂVàbo<õ¯W»kžÙ Dt*žq™†¾œpÍ}èeíÇlX1¹+Lc˜hÏ*²'Èx ´J8KEV\‘1ŒpVà·EÓèMt/ˆJæ©Å^@ˆowb0 OÈV½¬Í@„Y Éï‘g--T‡`ÃõÔ&0«–úF½\?[!½_SÉú}ãDàFQÙ\WôkppcåëÅLZÎœU6ëå¶C1Ò˜GrWð´µEÉK1k½C5LßÁ·T ¦¡~í|#×mÅÕ¢M²‘·þ†Åì²udi™™c=su§¯52:5Òº²-vVÌæþ•=¯]ÀÇi¼Fúi<]ÃضÙóÊ6f$ÏÐÜVCÁ%$ÍãJr¼u78BìûŸÂæÒýÊ{ÄíÇ_ùÕ®ž&H°CÿŒ•Y¨ÚΡ͆¦l±ÏÍ…JĪÃ#ÎåS‰ó~©ª9r`G—°û‹óˆÔ »øÏ9n'¾KéØh:ä†Ch‰:ÖÂ¥ùžƒ_Ð>žóŸ¡÷+#ŒÏïÛ¦w:_2+MeÃéü5Æ`@Õø’ÁÇôøÁ´jKwp·ÑÒ¬O#îŸU†j $’¯³çpê$p›%CzÇÇYø3Îh´Nd„ãÁ8)’'N2^øŸ+@ŒF%2q ¼©ƒì˜t“×Ò=„L¤4·¢´?'ߌ"°ªp$µšÞ뉪—nYò°‚`.’Ír4X;šå؈l)Àibœ÷´¦r‚ŽSKv@öÓ_Å{zLFÔ{é·Aú4[;`2Ïa§·¾…£fÓM+_qÉÿcüŠ³` ¦ŠT÷2;i³Ó6©ÀYµþÑa×;TtÛ¬5âÅ ÔòÓò5?úT¸ Ÿ(›å&&ݺÌ(Uq’þÈÌä¤ù„b÷,hÚiÍcZÿ;ùÍZó£³J°ây¼4.ÁR¤%/XOÍ4&>s¿½`$Ù\çfÿýî«?ˆIdbÅö5V*/eß 3Mà6¹ÌHÔØi«×…–éK i ØŒ)¶,õÿjŽ´h¨R·•×÷Ú¶bEù‹;7àI ²;¹XàµÊBí!Ä'm…7§ìEF“²Ífªæ´ÒæmH ׿^åsRå-g Lò±Dæ5ú-CÈ©ÇŒ¦Îµ ‚¦ãÔÅË\…û“¡°*Û²n““lL«´†òóqʽÀÑCÏÙî³Ýh—½€¿óVléù’–¢tp`´Ð}ìôcðŒG¤õW–ü3ìs`1|Œ.NLI|¬=¬=ý%ž3¡¥+kÌÑX¼e$ù¡¿é^+ðdpq)¤è1ûNà¥M9DpQļARx·/lμՖ˷^rBéÄŒCIaÇÆ•$r»ë¡wÒ;²á3Ml¡·Tbÿ±óô¬Ÿ{¾.ÂÜéRÄ0q(\8ݺÖë;ýP3B‹z´Vp•_ôaü¡u®Te‰³³&ŒŸ>NÚë8°âtÊ+a¾œgë¤Óv¯iiÛpV{2×$ÒØìEð¡Æý™JÏQè‘–p…eƒ™™sr„àjq'â³YÒ»Ï×a˜Dä]›G”–¹’xYû¦”·*D `™ü È|Àî¬Dæ @ƒ¹ô±¸Î7… º¿Pä`ˆƒt®B$Žh1iÔL‰©n®Eæê/óÒŒ„õt>7Íâ¬Sé+l?ù8ó$‰ì-‡à”;‰ìC%ò CärŠ¦Þ1Sï[MšF‡ÒšÓ8ú¸/ÔD4ñ®½ÖÂ¥ä¢eì3b#d©<¬Ú#I±ÊèXeϱ/ËEù»¹ÁÒ.Eålþ–Ñ6ßrØ&ÞëSt1–[ÔD<ŠÚ—ÓHįŗµÌ×ý…‘›öµãeßÅ%r;a÷l7ñ®ƒŒT,$¨rQÞÔøDƒQ‘"ñz©Jà0!pg(ï§V%³B¾Ñýä,©×X"Ú¾ô¡iÔÓkù”­š~[[ÙY§·\Â}à¹ÐF ˜…¾vZ6<¶ª'È·ž:Õį™å ¼åŽ¶`¹ÔÜ`»«$EÚgFŸºPB"úËî*û>ð³\÷Èóó*¥kM\Ænt ­i쨼W6á‰^ñà`šÎÄW;\ËÏÂz ç®`†£k£Ó#¾;±È‹I‘ú½Ì Ùß Tjåú2–`[rÎ.8ŠË¯E ÁksvpaIƧ­i²ïô«+|³ýFBë¹ZÛûëœ_€Ó2LãÏ]vhj~2°ùØ,ï!ú05õÜ>iä˼áÖÉí~Í9Çð¥QÏ\”S6L´´p¸iÀøÿÏÛŸ¾Éqéâ¨î±îûNJJÚÑžaóHòxfÌç>¿yšl.½‘m6%Žý颪ÐUèÊJ”2Õ¬þëo¼È*Úž9çÞsÆTg*‰Äë׸«Å®ôt¥¡Û{"ŽGå’-̹{‚lL&1¬öƒˆ9Ëcü½ç¥ ‘tïK5°º)rPÁ[&²¿a3±rá6QÏǬ%qà™@ñqù ËfUý´u Õ‘®ŽÀ‹ñXüf¡Z»(ÌiªèIst+D"ÐÚ†6^ÎkMé–Àx–ª %Fåb`äØ‚ÑL—+¤x¨ŸEÊoìsÂW(Àÿäòv¨’ûF-íS½Ä¸ kðÎt4aQ£®„{laj[‰ñ¸XWôR mÃÝ+$~I5VàvÄà aïr 0mV•ÂÒžc<È|ÓÓY΂)J.0Á~ì½hËSÙ湪ehÝ™Ž&^ª]|ë©>×±å2¢"éß`ž Ì°/]ô;´¥H‰ –n€tCwe„ÒúÒ¡¨Õã2®‚¼³yããÛ…ˆF + ù}ß÷À«¿íxÍSÒ ‰Ô'4Ú rý¹¨÷CÙ¹¤FŽ}å-Q3ŒöÊ é¹-ÖŸæf)õ±wÉŸ`G-”¼ÞÓ*û´¨›%æ+½‹ô)·p‡-j,pìm—iv@-±<ˆÔ@ Ó?o=皘ìD•jv ‰§ØVµ"#£Eñ ÆEöS$ŸùßÈ[½›,Û‰P»Q*Ÿƒ_yb6*瘝 ­£¥ ~)ÐÞ¹Ù@f 1µée€ò¸¢@F#oyˆôôLoQ6-˜ô?Øü½˜ 4¯@ññ£[Ú}Ì~>—È¥L©gg<ÅÕÙOZwtôø½}ͨ,-äkAgËh­€WË@²K9ï7'¦Î_’VZùÌ÷fö~$°ìL’û°T¦–ÁµüÁCæK¶½·.ª¾1±zÐ\õTKî…¬ë|×>EuêK¿Ð4ÏLèpµ§`»Á»,ð_¬30©8+šnòP0ÞÙÑÓ•½†¤€VÕníÕ%å1¯¦Jô‡¨cuH_Hù?xq‘/ŠÍj8± ù%u™çüv PX+¹z@´¤Œջ疪ÜÀØœøâ#J*·Èä÷ܞ͵ˆ¹\O½ã©œ5Jû 1¹VÔýŠ3ÙM³žÚëà;r/tÞÁwµ)Åœ-…ö„VÄë½Ú¡š$Óh÷àC ĽVØ“™:/QÚHfB19ÔÊßÈïm=bH¤'+Ž.ë½Ò(+e×Ý`®\­òÌk[ Í©I.¥Ž±,FìÆ.ã×üŠ2Ž–’£ùi¦qÓ„k“-,l/¾˜( ©1æ{Š“ÄCIŸ4³î ‰*=`xÓþÖ’L­téF¦_6(¶ŽÚ&Ü„ \EdD{ÈÆ¿ 4QmLã‰ý[jV ¼)¦ IöHßBB¯šóMú=ç@]|Ÿ-f";šjÆ;JÚÈ7ž4;…R x³úªøÿŸ[ùÙ ÉG8ü‹°úƶ%ƒ…Gˆ iˆ=Ý ŽjJ]Å•¥„FïXþá=ÕÒEÅx¥à%á*ûÉéÇ ¹zŒÄNÙØ›Wøäé$º7MÂbü"/Üʳ¹+Òç5‹n¼·Ò`¤ûž ×Â[us anó̳Þø ‚VOÁ¹àò A"˜ z¤\¬#ðà>Ò£,û¿E¿æé˜ñxÄ~Š¼îž¾Í¤ê¬’ˆ ÌÑä™éåL×"Ôz½Õ]7˜z\:W¢ot½Øï°JD l׋7úcˉük†L¦‚¬!]¤UÛ}1Ÿ£ÊÅ:÷IüË¿È×¢ÍV ¨¾‘×ÇÖ|z¸ú‚b±u‚¢ãý¥CmË”M×q®gœC vÚÍã ~̓D !o䳃^E²›±MÖlÖ= eäkÀ±¬™°Éù¹|;〠kͳ±-|ÿý÷$^ÔóØr#29ü³FÐñž©ÙÀ†ÓêR$£ömó7©ç"uk¥7ˆŒ†s|”¤Ð[³êivW·VCWʳÂÓñÙóO ƒ£î£FŽ0E®¼Æ+%‹7Dj>éR—:ÓâgQ^éè{N8;Ú>Éô“õ·És”þ>ý )Z逼éïH6@ͱ—)½ú!{–PD.jïé¦>¤ù;ôû‚¾ÐU˜XkÖšpÂTæ™ë8Y]Ã4‚‚Ò@;îOͤ¿tµgˆêX¤Œü Zú¾&f.Š¤'~°û nÅP¸c–Q¾‰—¶¯Ú–åš;ÜŒm"¬tŠºÿ›Ìt÷éÐÚ§{©­Ήüø“5 òçH[×j>)ú@Ü÷S;bitå¼J#õÞa^yÏk±êîNª/™ôï‡|õÔ—N.^B8ù‹î*1ùÉø™”ïè³$D6z`%Œ’Vá)c—üx~'šà=Í =_þ~0¦ZϹjK9:Ÿ×íhbDéÐN$öj БagÒ†õ»ŽµÐMg‡PÓoßÛÿP¼½Dÿw•‘4kK iÖÈ1omµšÒC¿8áZÔ ¹fdÐÖIW yšþìOcõ Ø\éùØœÛÔÙ‡$wÄ•hµÅµƒ!ÂsY ¶û2&]ç6ò'êžPÏâϹ„¨ºË´°«„Í(بµ¾¿Ì«w1›“ÁIÝ¢"»’@µg˜ìV—Ã5žõÓ<ôáÈÛt0·ðXöéè©ø7Ï/Fœ!G8Ìïàõ¾éz¨z´’.úMÇœ#ò Ãæ?«aìÊ­âÇ!9÷™Ñ’dƒÒLôNÏ4 Ί· @{Òõ‘ø=Flœ¶ç_wµœRfï>ê®Õvž"*ù+ì;Qó½»dˆ¢»áKÜ,(§Š‘QjÿSþö ýï™e-JTø=Xï°1+àÃ4D×/©gˆž Äqr[Z‰Š¿ýk@ßÕˆäa,¹x|®Î6²ØÂÖu tº7}Vb½µ¸ïEãÎnŽ\Ùæ¹hhñP6Q&¾åÊ$£ˆ§7+ùTð#Ö±U=4p¡é&À{íæ€|;ïìð<&-ò'µiHÁÂûI\÷¼Ä>Xq tSãgÿ">†äæl’ø6ªx¾$ArƒÖ‚( ‰½¥[|íhøúµdî[@›þn^ $ÓcÅT¿—cZH_oÆ¡½Œrào"§K¢ë*­ý¶]9\.Ʀ“”Wv9QÔ¬øÓ÷ÙW@v/îÛ)L´7°àô\×­92Ãä)»šÛÙŒ1A=zt::˜»%0lÎZª%~?L£HsU5§F•4œù‹&µ:¡‘®·sëE<(ït”—fìjζá”Å(ËžüèËø:J¯Þ>Ûøñ_·àîDn…îu‚”"Þ‰éþaˆ¿íXX+› ="{l´À€5éKüN4cM–±_µÁ`>cp3ÚÂm¹Ê†¢;‡u ÏŇ”&ô›O5 ÚtJ´ “rÇÆX.ŠôDÈ&Zÿ2W‡g#àÝ÷ë ².–;î ¦½ÚèHlŒá8 Å1ìU„SØíʠкÇ~X{°ÔÒêwŒôÃ÷ 3|Þw›c÷%ËWlÂKrM6Éö«ŒC ÙJ™Urºh™Þ¤ñÌ*•ú³3e&e„F,ðÔ–lïz óï^l…³^ÿª¨Æv"oûñD€ßßËÙŠTÚª†UÝ·à£9ÚYøCð0ïŠäáˆï} @ØclDÊJdq)·‚#N:Ö¿t¬Cžª nþw› èKŸœß oØÃ.rX¦’£ëhá%P“¡ƒý>Ò[‘GÛNߵܾ(r/rÝÑæB ž™i2ùZ¸áPk^ûÏ Ã"ð'Lùwšã½ß³PÕû¦áw¼VRiŒ¯#»^®g5ã®r±¯Þú;<‰¥XÂt jÅó9<0ìî?!Æ:·„Eš†1Yùµk)¦-ÜûçTD2,ˆZ7U¸Ð5o'ÍJ:tëp^EqÂ#R#ÿj*dÀ}N"Ê’ÒÏü~^ÅÚ红þ}ÄÇÆOQ–à š}¹ãñp¢œ"“¤›‹“‚Iôþ?›zLŸ4ËÆÆʬLJ­©('ôd¡Z(\¥¾ó©é¶˜¤ýš8‹kÅuVGcq°,iGŸ Þ·±¦Hqs·_s¼$¢ßŸÛ'4¸yÁ× ¯kUØâX Ê›Ë48fº’íFÅi17ÍÔŮԀS¶ãb¬{ç^#jÙÑ? ü"•%ÇåÕLQ $zô¾zݘbÍ?¸TE•Bq¹tK F$[ 'ÈZÔ¤·9knŠVSÇ)2q"5(û<.ŽuÕLt5t”gãO”ÐSÍÈ쟅ÁAè&qp†j}ëgˆñÿ×]G×h‡U¹DüÑ"Ãç#þ9N ùË×n#ù®Î½v4g`âx8Dª¦—§ËcePT½¨Q®JAt`¼t‘p•¯z*†yDQžˆ4Rèm,KÅùQb.£Á/>Å é²CKámó—cηÅËÑwù,èüÌ—ÚlÐø‘h´A_i¦¥ñÏþÇ(*@t-¸6ãsCclj]Þ¶ç??-þÊ×x 5H‰Uçý/èëDøå+žôÑT|£¸9_f:uó˜Î]£Ò´vjêîú‹×n ¼ÿŽD}DO?{šÄ­ôþk×ÕUo9íÑ[4xgNFξ£;Ñ™þ2­¨ÿ.ýèMiùW¯ÝhõOš‰«žæÿŠÇФq5Ö[? §…'yäDé·»à9…xÞÍ¡€´à½šÎ._¦°3×ã´{8VHŸïB$àMOl .iŸR­ßˆ_,|YD[[qß%ÛkS¿Æcݶ¨˜S÷Ìy_¿v\…ù¨æî[Ôûi΋()ût¯K{ò´ÓO=’¨ˆÉrc’†Ré­+L°´¥ììz$"Xܸ«ÏâbÈ7¯)êa±£ŠGG¦}„e‡Â…˜ÌqzßC«Ê`g¬h=ÓR™2fñ(ÂÓw6#‘ýç¸ý:F>|þÚM¦¦Ó©(_ÜBçð÷ÆžJ)Gô`>ĦŠ<ªuº9<}q ñû0uh["ÝÀB(ÚgOÔ¦¸q©h=Ùt(ÅÍ`Žy×Ñèw›þ,6Õ|Š`p®¦è{^áØ[pXBgqSäQT*E¤ƒ›Âˆ¹5ßæ¢íã`©êw¥É†‚!t^ÒºužÄoö7™çÀQœDpT¼„1…5±åÎæí’fþ#ºZ+öì¯Z3€ÿ.‹ÑÉÝ1ÿwÚ<}0¢;¦b  âÿö¤x¯Mùˆòp*5¾æKvXg°ñߤ;ÀåØáÑ¢Þ»lu ­<˜I})Œ—¨ÄŸ¥RŸ_‚& †qE Ü®‡)öþ,ÈyRÚšÃS©û°ÜÎDP&Éœ¼õºb²DµI2´õCNTÚý•$»_sëê. ç€÷(æ$4Sd¼‘ˆJ.áaØ;‘íL‡%þ/1ᜎ·˜Î|‘FÌGßö-ílƒ~54è yt‰ò6ìàoÐêQØþG¤K>Þ2™H·¸©œš ëçƾÍïúï.tá…yø£À’M|™í˜‚{-Ð8’)÷wœ#N¶C‘ƒ$Z}˜!¬Žö.6dæÎÙ¼ÑaÕ‹$â»À¼ñ´ó¢‡–2ÂS­í§±Ð«Øâ/¤.lì%i ´§¤¯ÜŒ4V ô¡ "6m–xUñgêäG#ïM{m›p`œ=•Ã_t&û^i¹ñ ÿÊ,9ÚYjáN*A(WœÅDX\BF¼C”™ÿ±%К¶Ñ3WGˆïoQ—æ-R¿‡“=|åSPbœñuß ŸÏ£ÎéªO¨•/×M7p´G¨›±O7:~(Õ µ áýºã¹ªáè´usü£+೧àUÙ̪?E¸ !É3ÙŠÜÙi'›|)’{«p õ"WöEtˆ(•rÛQ±)£JĹø^ü¹,ÕØ%‰‡ˆ¤uôê=ŸélsÉÙ]ÓýN”ÀT d r#¤­MÀùÒßð«îg¡¦D|(n?ÙØÜx¶Ô´û5ÈÈ^zÍx½ãn®=$ž4Mïß4°Æy©¢µ¦€°xf#D :’ãìÿ’/Åè6\’Kb9G⇉iÅRc¢ü6×™–6U¶)Å’UT#s®UÇ Gôáø m*lH =CIMNAÖ³6ùÙå®ÌŒu”o'¸ôd"ÍéckÌœ-óAÀ-ÍÇì ´¨ˆÄµðó{Ü`†‚0¤äJÔ™¢¦ãvýõ‰¢Ap ßF;ÚÖÒ€ Œ› éP0‹Ëèr¾ðæ¢bÇTË°‡m©mñè?¦ü9"ÙÙtéDÌʉ®pp¢“l9¨ÍhíÕÕ×ËQ‡€`=dü†‘å/!ù=€º­mEYå<ÆÛðEïø¢C{Ú•˜í„ôŠë³« ¾o=O°sLjåjWõeˆ’÷ùô ŒCêµ’y–7‰e7žÓI1ªÍÆó\âÁ#ì°…Ÿ9¸©ù¡}æ59š¤Àûë¡JÉ6K„½ W G+/1’B‘;XÑßOãû+NÁC@Lxè6‚k68_?wµ¡½ã1C‘†î0 '#ñhîÑzü€ ;tB¢¸ÒÔ<ŠõœÃîÊmöÏѸh ¹ÅTDd@”3¼T<[|'£þ|Þ_·*UU¿àIîT¥Üšo™æ2Éî]!ÂÉâ{¤½*Ü#;* >:êÈ>ïðF;âK76ˆð³Pùº2eðj×ðP,6G#3Œ Ì`ÿáDë¸e_ˆä=ë5oÓ‰@JÀ‚ž“hûõ6 ŽH‚;Ö#:ÐöOêúp™¼„w¶áš ÁÀørô¯aÌ}:øÌÕKNÙ1¾Ù†ó†=ÛÛmªéS¡OÂæ¼ê[ÑB•$’«˜ˆy}»óýàìÁ‹âó °æ°Ä€±x?–çhï…—·¡Ld/ƒàJÞ{BFýN]ß LÖÏ^t|vÇmVŒÕŽ7!NSŒ޶ˆÔcœkxUžÈYêPà¾F¡o’ˆ= ^ïWC+îÎNŠjº‡Ãt¦ÜDì]TÍ3[Gl;JÇÁñ_¼·Vx] tÒ+v4í&QÈ¿Þq4'=m ðàð£–ãÕd½næЧôÛN¦Öm#ªeMØ -åÍP!˃w’-½0%í£" Íù—œÕÅ€Ñ^. p>ÑR÷½åc <ø"ÇŽt•*u\Ob§©ÿôÒX2áì@T[,¸ÍÛ¨xÞU 84Ô@ǹw—¦æ¹Ië¶ELJ´˜¾ °HðLx»‚r˜ÙⶋפïË•âÒûý¶ýM¹PÌžn†CRŽèlKA€œ÷7#öÉÀa•¼á C\S0~ãÆíÌض8œ ÅÊIà™wãsºP’ù_›á4žÝBƒJÍÜ4©‚Q‚ß–«KrßJ¶WZó¾llw}›W"V&ÿYAi_bRÀyY üŽ×¹ïSRjø‘_1ìù×b’^§É@ÊZý¡ #wÖñ°ÒÒ>|Oœ±]Ñ:‰ù4]º>f „¹ÜQ{0i÷:2ŽÛÚ64]mÝ% ¥Z ÀŒrÅs»4§.w1¿ÏÜ•‚£LÛ‘÷I…K¡@DÁ!Z¢ç Ô.‰óoRÃmFÒp” ;bêé*åJ¢df—]¨~w"o‹{5Cð}€_T±$ÖcH’C°'ôû)){W{óX>ö¾¤ûý›-õ4¶á§÷dÑ‹7¶]½y-#çnwtÅg<}z¹iæÌz?S½ì¢Ë‘~ Ë)§æ~Q¯9ÂthÕÅ”zO­N§Q/tVGJu;älæªTyòšdnY8`:Îo%§‹]óÆ[×ö”û²m—‹{vcciÍë²I'A¦½#±>ˆ°˜œ!£ñ£òžVÁAu3ë¢{¢3åºç`Ác8圽âYª €‹C×êNìòCÖ $élÙ·×G§K‚é^0$iºÉÇñfÙšÖÅÿëÐ Ô´§ûÚOʧ¿¢0yvCËCÕÙ"öá{ɵŸ· Ç›u3Õ£0öw:*ŸB¤|6=»59oY¶÷›4ÎQMÕTšõ«4—Ðœ{§W律’Úþn›£},÷{Ew1]„g@2ã ¨]ä[´?¡ñͼÈéS€+/ž—ʉΡ™<×ÒÌ?Ô”©|&Ž¾ ülX¢je¢žDŸüŽƒ³wكƿÚÑ(¼»#Τ›'îyù3]+O•[ÈP€¹ [ô ~ÑnØ2þid4DÿÈ ~#4æ¹{HN*Ïsu»‹uïG1Ò8t@zຠž”~À%ßOL“ÆüM⬑°±þyÚ±H˜ð¢jš®ž¤ X¦¾Ð]‰Êj]¥Å zT*ð´ZÏ<&®žšó?5~ª=óñÖål¦¦RÎù X’Nvºôœªœfu.w4¯ºVâ‚ŽvÕ!²¤uEÉj܃gZ9?»TàòvÖàÀŒP_Ê>FvÁ+°RùÞ×¢H}à²t$A<§]#žë8éë\ÝŽÂ0i¾²ŒOb@® ݽäÉ,º&ðRÍÆǽ è{]ú:e‡Üðt7/9P\H*·<¯Ë^¡‡ à wüÚsÅ+û¼|¶?V!ž¾w´{Ý ô}BZëï8çu?K›'ZÍ!˜Ù˜‚KK|^š£t<œ÷ôÍ©¼&%z¥ ÀÖH  8vðë~›C–ÉÕœ›ýFï'.0Üé3Cjÿ ?›Èñùžš†öɳ'ÛOò§|îBÅçGÓ뛈sO»ÛEÏÌ! i·ø€,áÅgâ|Iÿ_8Б7±ÀøïÀð®‰gv}<²AÊÚÿ]±Ì]îÚc/óÙí|Ý7QëöåÂB|x‘™H.p.Ù£VÂñò/yOý0±4£ƒêm1õ{µ•?ëòV÷ÑÊ•£.È9D»sIæ´ÿ¢fü.M‚ö½â©Ý’ÿK4sRë‘j&tUÏLhMßštJD3\u ðmvÀ¨‘…å„“¥TGFÀ5!ùº™Fh/z&9î×,+õÑ4þnãÚ-K5•GбÕ¦ûV…æSD½¡þÌ„P;³("ónB—wbXÈ6º>¥ÖK55‘Nj½XªtƒJµpÓ`±Ñ”£ÚŒSWà8Ôc[ lÙL„…äe]W@§ëŸ^wŒµ(:^«Ô¾)Í5>ð°´PÚ…Ÿt'ÝÙvY÷F€6bWG(„B :Åb~È6b]O+Ô´lÊ¥=]â¯rév‘Ìßl?‘Ädfƒ˜ëåSH²í­‚¦ÁGû[Ã]èQ:®¡Ý;:91ÒDqýqpP¾*ÕH!‚û.Sõou4hPmÙ$Ó$îK.Ë.%ZëÅC61U±ø@òX¶‘ŒD»Òæe2jÜ[a’o¤·ìßÂç™s”À²ÑåQoñ_ ­Þ‘°¬Pë³ ¼<šuŠž\œ<‚lfÍšGÐo}ù´A·Æ^uM²Æ ÏÙGHâ2ðžçušå÷®ïiUÍBúèf=[ŠóÌ¡ã_ŒÏ54}[u T™^rlÀ=7CNy¢–ÍŠì3áNðÖhÆðIÃãymžZø-ÓÙßàW§®g ·¹·ï*7óÆ\!÷YО³QbÝëg‰B;)Æh’瀞! ÕÇñ¸“°Q¦“Bš 4î–=î°ø•’¥tp¼ÝVÜ版÷Øqq®!ÝÚÞ ³“ÿ ñÂ;îçÛÒe‚si+W”ï1ñ ¶.êÙ¡,jn´ðEò¶…7n½n}}ûÉË'0KT€ÿ õ4†}¹ýd÷ÉOOÒþþ~¸ýäýÚI·I©Çªt%ÇMÔ4£5"R_Ïlo!½±IêèmÄ%B#¶’Ú¹¿ù_4OÚa 4ß,öçËíÿz±ñC€Sûb[ mЩ.o+‚ú‚C¡š_ÚЖNƒ2–Õònl"mk×ÚIkªq DCãÙ«™S:&€iÛfàêˆ×ñ«„º,þüŠþ¤ó8†âÒ;½cÝ&Ù蜸È×ì’Üß-‘¦’‡Ÿè/éŒ1>üû‡?ýáOYp.óÃq“ ŽÎ~€Ü9-»qðïø—¦VmáéH¤øåLaHüøU/ƒöÎUU/ÆäÃÖO¿êÐ_†¾’ñl¥9ƒŠ#CRlLŠc5SQÀå^8ù¾¬_"e¿ŒÙ·x»}amÂ[ )Ÿ%&wÐßÂ÷ú%]J[7_q¨Bkv½ã MµÇºµMGèó‰>zŒÆ÷NÜ$õzR ôXOP,$ ð÷·»àJ¤vÒywÄÅHhð™¡ÉL£<’6ˆFƒY#l¾ß¢ XÓGÐÌèoZ¤fáŽG:zsï…fØÝZìôí-uršœPÔ˜y-31È=FÅWZz‡s£Ë:ÙR¾C‹©®*úÇ üt‚žÍ‘ÈÈqÒµˆéAkè–Eíß‚Öhš¼'È$£0€>Š´1zÒ´iO¼Š¶ð‘{•%YÏÆ‹$¤wR¸á&B!±˜¸q#2.v‘_Ç7ú< AÐÕ²î#žzM3ab4ˆ®¥mÅ5uie˜Î ˜Š’vCci£¦ü™V¥¡í;”»‰Kd”Ê}e“kP{êH1°œ€qü‚+~; =?÷Ô÷$74G©.ïöH+UÎíRÑqÄ2ÄÅ Öÿ>ã 3Œð®âºZ.‹™; ØÛ¨™C¯UÆbtôB)"ú_0|É©á2冾˜B•¿*øÜfÃ’ÎxB”/‡kØ“Œ6 ëPŠ¨ ÔŸªi•Œ`Ô}SlÂæ±¥~3ˆt¨Ì,­¶tÔ½{L}ã¯ô^&JgùÅR‰Û+ɤI õíÄqæ 0_ˆ~Ù–ç>&Cñ¸:³Í÷t_‹xäKL-! ©÷T‹ÂÍyK[åÎÓëÛ#[œÒÚFÞs£h ¤2`Ä*»ˆº,á‰éð†Å„€,Fšô¨‘MW~+O÷óLhd-ÂK ±Ç!?b4”wÚšH&µz}tg¶uV‰èÚ6í ;ó'DîXÇù_ÛAξ½ LNÚ׶£Ò,Uñ»{é=k¯ûxŠâß½m$³ÎÈi{çô•¹“Ô‚œ1Ù{Mâç·³+H?ô‡¼p¨Ì‡Tš,’ûΧ?22:H_ÒväEˆW$éxw‚Øú}5|eOT•ð^âÃœÍu'W©»Ò³sÄ&YoìŸ@ÃŒïP œNH~Û‡*‹/]ŽM*)HQm®é"ôvS^î …Ô¹²ÃÇqòl-cìný›à¾­ØçÝåÙÈ$“¯˜Ea ªoÇ’@#îÁ1Ü~ÂóTñAÆÅéŒÀ¯“‡ïŸ»6]ÈàÛ¶qȱí&+ìI==| t¿À«Œ×D7ÁíŽÑÙÑ(f‚Û5Á¦¹!²®tœu#¤8•š#tÝ_ˆ_yoëfÕœha¹;beÅWJy§#Ní/™›ôš1Òý«9¢B¬ žº3‘›!gñÒöxÐUÇ>‰Ï·Ç (w{LË´™r°=®¤Ô;®ŒÀ »¹=–[°GGJk†éßAÑÞÍ«%-$ÐÖ’< l³= ÕN§À²œÚEêK…òÎlOfz–·Ð5I%ªÓ"s¤m«bêêc­A×·'(‚öoOŠWšTi‰ŸÙ2äk;Ѧ¥-íˆD¤2Ù¹i¢¨1,þ&ðµm{ $ŠbÇê9¬ð‰‚s¢õ˜ö=¤²L9U"ÂÿŸ iÙ>†à³ ¼N‹)í'4ÁQŽ§ömHzRÿ´@ôáq»:¿=U5ípÿõ¬eÞÎé„î"6’*áørÇq{¥F†Äµ‘I"ÈÔÌøEm1%i6Ê`_£Šx_ÐU¬—qn{J"pE{jšSÎk& šHc8†ÏÿÓvÉèç%Ì‘¢ÔVwÈÚ$1]¹4·ïPã#åZ€ÔÅ3@Ô $V¥OßñfE€Í9(Ë.ŠEݤ6s[NÁAð…Q©–1wtpGʤ„bu×”?†M Qûó¥KýË]»™*!I%»T©x]éqt…žóW⤤›L Ö/K+cV˜lTïåªöAT½9êYuí›Ä£ÅEÃ?¬/AJÁ¥Qðc¹â‡CpÐÛ8'HjBKA(¢#\ß¼§¶-ƒý¦´­ # i°ätË2; J9½Ë‹Ýeñ¢jEYGœTét\.3_î˦è#.=蟖Žžå¯äÔâÇ~ë¬n2Õ¦ý“>géà‹o“,(i›<ZóéësáZDÍuN9ÞJ‚[G–÷†ÑNIOLokšßÏ3=ïm—MÑXNï¥e8Ô¸ª‡¢0îýØ‚vê xñh4×$χ&¿¥&$ï!kiVì2†n,xnJx´™&··=dl±ò(&¯¦×ç«4ÊîÔ§s¡\rtlÉÆ\¦#ŨG$Füxòß%ö3„ßðªý©¢ÍJ8E“oiVlÁ¬›|ˆ Üâ½vGt™Ê€ž¡f¯Ý4ŒmÃuP!C7þ JÙrÇ•&I$©)wÄ÷ý«6iOš±7¬bÆOlÚˆæ¬ó`Ú•¥G¢ý!íŽe9§ƒ^©’¯ 3˜kÏà¼X3¡ÝßæT II‚Ì)wUH÷Õ@TÖ &À¥!{®ñ9ð}> 茾Ÿ,K±ÄX(qÎ`€@€Ú —™Ö*8+Ä%&W|Æ%mý¦6Éööj¢Žé«n-+ҫîp±kUYS‹`jOd(–-3lÑcbæq³ó|>gø¨HßGiÚÕ¬ÐÎÄ®éŒÃºÚü5tŸ5ôl§x’è]8ÆÓäÞŠ2QìP¹&í•ü+-;ƒ /}£ctî¹=]UV~.@p K”oO)h_€•ÂÌgjVŒæXÓ†L"ºPE›Âšéñšàj†1ÍÍÁĨ‡€™œéÓSÎìã:¨í"é~¯âáÿåöL—£tìÍ mc®^šä/š™ÎàéKŠ—é¥U$Ødµú†=Òq-2šç",òÅÒºc›j&=‘«$¢vòÐ’.ÌFQ>R%m²lçkLŠÍ@s˜ôa©¦ÆsqÜ“ÃS؃»-D)¼™üô¥"Á9Lý3Û=¡“Å€1¡ar{§FGj"=ê³™ÁÆÝvá·½å×1ÿ>7²"ܯ6¢šÜ¸á™rV¬£]aÊ—’* Í)}ÿŽNúà@‰oÙ‘5ÍÝäG»ž} ôKÕäæe¦y˜tö}ïÙïS?Ñ°Qo“¢3›«a!èª5 À­LÚno%úÿoD”¸ uŸ¥Þ3¯µ…ïj:ÑQe~ÔÛÁ²mÙ°£Äá¼Îl@kÓÙ’Ã ÝõÛ,ã‹1JAë`“yQŠgÑI¡¢Îq1¬xÂ9"2.RüT[ Ø‡/ëòνÚL+½DFãôq¥G]E•zLrÅþpOéÍã¹-S6ªÌa@L†C„cd^Ž=ÇZùGÛýz]»Î?a†YƒÐ²€¥i>”q¨€3WÑöƒ^fÚÆgË¥œ™+tý¢Ò³e¯C—"]ÚÝ/ÄWñδ'NOnÚÞÃ/€\*>çä;½RK¶³˜‘øý+Ò> ÝÌý¶]KŽâÇ%O~Ôd]»ÂÔr¥µ¿ ¸²¾ý?‰L }X˜Ž g-ù<ÛŠk»ÏHá'…ýÛ­Jˆ-xRÉfDPrÌ_kd©Æ,|Ę¯öÆ1Çÿ)Þé5§R‰x|kÄH¥âsx §2¾,M•ÖQ%ã‘/w—”%!¯'_Û®RZ;rÒÙËœ}†}[Žš™˜2É#•1ÌŒÎÒâQµ)K+^ŽÉµ9µ•ê5î­««‚œUÃwA…î$SÇ»\_«QŸ¼‹Àòd¼¿Ø‘÷õG3ì·E}þ˼–jbgª×¿C5DŠ‚(uÈ8z)÷‰·´¢£ð6F«R¨DNÆõm—ž!ç6hoOªŒ~¾£ hQ<ÎgÒ‰a#ÕbÅÞµf4ušÒoK&5µð«?;£ÛÌÇðïDõ…`vR-Ciq/:ûh¬-«}1ÃÃ9ð-¶dÒ/p'Q’¯·ƒ1ƒÎOÒ‚¹RGœ#72Æ33Feæµ¼Wµ''ÏýŒ÷Úà@5Cda¹fí3÷šÀíŒñƪ °cÀ嵌- îeœ¡NRM+-°ci@oF ôÎJ›·0èFŒ£û+üƒN>ýáûì êR_»2(|ˆ)â u„çL0Gm—07êŠ'Ñ6 P Í„Ù0"òõ¬CFÛ®Õ/Ÿ‰‹n5³¾’Ï{Î4O1-¨¥5€â˜Öï¹Ú ŸÐ"ú¶òî ·:¿X½)ÆX¬šÿ7‚“¬•Ø—x8Å8ˆ8ùÀù1 ¹9PÔ§¸hV…,š©¸•@°¦5pPæ?CT$¶ •×42‡®â4­ :{2‹é0@qÁ¦TGoMâ æ Š~± ¡êm[ÃýkÅ뀨?¶ÙÜÇ´{¯ÆÅ„:‘íd›s¸ ã’ø&iÖéhºûàêY1ªu@YëYô´cº"eVìÎ\ pËÀV›t<|.êýÊ4Ÿ&}G¤±©Ý¬03“ÔDRÚŸèÝH*'Z]˜qtzc\&Ä8š.ðßÌÌqEŒDêkdw? "À»¢[Ï`ÄDé¹*jù&‰eI«²)¹ä³â©ý&]Ô©…¼?}­RcìÝ×Äš#LÍÌI§Ôø0Ìfè¾rwø5Ø ×V# •µ„(%æ‡Ñ"«l–’â/o¯ ¯=בŸEÝ¥@Ñ£:¿©p„‚ŠZ5I!é”Øó÷ ì©)põBä&øF Y> u'LŒžÇ‚3 š¾ér àâÍÈg‘7øL¬ñ̾‘nFä¹k{C·eÇ‘y!’]Œ±¼ÝÑ^,SmÅ*Å?\ïØ´@|©e)·6o†Õ ²ñ^ BNeÑ‚óv[3Ó½wy ‘• æŸÖs¹ÀÄOÕäØ#WöÆ44îéùÀOŸðO #;K…6 "ªBÒÇb#V£²ÝÈøŠ¯»`óó§péaîiˆrØ·½F]'ûÕÈCÿãtáç[[õÙ¸,Æ›ºÿ]þ&‹óXÉï=pF3á-U—2x¤ã‹w9iqoG[ ‚ ÛH˜,jwoõv§hW¸»¦E–ä>6XôûÂÈ}Rzº#Hë¦ÄýŽr3³&´ø©ªµp¿†&á}ÿw¤Õ(+ Ë›OU±bg†jFóXnal¼0ãËþæé,VZìšÒÐéx¬"¼ÿïWÚøî‘hð”Æ zd†ÉG°úX¾jW§F¯…“Òuâ7½/phݼ·-øáé¹Thÿ‘ ’y`¼šw rËCÙÂiªˆ ÙàZGýâZ ù@¢­4[bk”·îmFX$Q69’!Éž [@®ýæ¢À±]5Ó8DùWlN/T4³àEO´á§ˆ'|L'lQ©ˆ%J=ÛØS'MÞ\Ehô®.¨€Â¦·T‹©‚)y„ÜÞ’Î5š™`aD‰ø$¥>&&ì­µ‚V\˜j³›ÿ†ý~›®¾æÄ«ü3ÂO2_ -%5V't¨u›ŽthR IuS?R)Xû…ç›®V$Y ÜJ5«a7 “0d¦j©K¥…‡DvcWG— 2:ÂÆ›Jü_QÃS'uàni¦Uºot¯€Ö¢å^éatH_`òÔä§o2„]¨13|?’•t›ä¤3àºÖ ‰•SàÝ#)" D7:O$$ñeÆ['óϳ:Î_‚˜ßø+úX@'«(ix»[ëž×§÷`‰b±'þ~´I2Ý„:‚TBiÅ" ½•]ÃÃ'69•«®ˆÞ¬—ª„f.‚’oÆ ñôø7鈸#™°#±/EÞˆ|SuØ)ñ@ºx¹QºZž%'Y,kˆÓ˜‰•éœHWëf’̾âÜã©3…hiD!º÷Iæûàvôc+:žY¨@rñˆ;ª¥é3*‡`¤–ê ruâîƼaª†´Ùz,<è4«÷H5 ¸ › [iÍ`eËÔŽˆŸèåaF´¢ž:cM§žd sV o2?n@¶Ñ#¯­¢"döi~'š&Ø/6À= œÓÜC‘Ú¿BHZV]0i»RMö¶àwÐ û\°IУé2P4eiö û÷}ÙH—lbX‰MhçÜ3$ß´¹³&µ8Ð4äG€rb+À§^öæÞäS½=œqMW¾]Ûˆáj>5p!¯±ÿ¡;~¶=Fú2Â^1Ò&D ~"žH‹¼‰3¼+Ƽo>êÑÆOó.ã¯yøð?å­ÿ ný¾vbvpfö‰íjÜoÎ0öé§nûòBw)oðÇíjä£&Ç.vÓ¶pÐYVb[nìœN)ú› ]5s¡ä|Ûû1)Æn[öº¦f´¨Fõ.úAf7V)Žàæ:ÞvúHÓ«bLG;è gy#ë 3GI÷“ŒsÌ0B/»Ê‘A½‘ºH4y`ŽôèJ™U,Ñ„Æú@o{BÒH7ÃÚ xÓ~“gˆ]cn[»a|Çù‚38ÅË@ÒUBô¥ŸqÑ“ib,’Oá>ŸöÊ÷f,õä‹"gQ„*xÚK³ZP¾c!¶¯ÚjþßÅŽ“ácý¯tDä?‘‡p¹£ÿ4¯eÕÞûÙ3Ä|`Ums¿öMTWPbΚxæçW_û«.¬QãàÓ(5™«X324ܳRæ‘Û¼8Ë¿m³œÇEuHêWP!tÑ"°ghI…ÔßocqdE ™}G¿¦mèwµYªjª~/ŸEŒW4<#GõB`Ì@¼¡ÿ&óIŸùá~sQ ĤavµüÕã5¿Be Z¦Ž+%Žh<1ò7×âoÞ;$B%Î9Ïêá*…„¼‘EÖòûaZXÞïõh´D*U£tjç)IÔŽ¦“y) ˜é–¶X˜ONl=•½qåXleè¹cl…ÈXU†t`m‹1mÇÁšOl^*=E/º^rÆOZéú#Ò$¹ñÅ6$øSÔY]ØŠ§ae¥U7ˆÞÑÕ)k£¯Œ"IÔÂeCZÈ¿ íæTwiÀàfIÛ8¦Ã6{Ä0û 5Äk˜ôÆGˆ‚‡whÙèñY”~ˆ33Ú‘tÖÏÕ¸’ºÂïD‹ŠÍÆt ÿH#OŽK•…,]Jíõ+¦Æ·ùo]^ê.Ÿ`Ю*íU´‚tªp¾ãˆÇŸ©I1NŒ¯Ë¿ÁI…úVq>¾AÁ´Cu;¶[Ë>Ë0½4"¾ KÑ T½¯ö÷ (:,br*à´öDñ‹žºr‚üƒÄKØKu¬Ž8°GŒõÀÖc·ÂfM“f 7ê3]#‡è)ƒÀÕˆ ŸìNÞ‚>ÑL)SFžŽ†1ÝÔÅO@‡†ƒT¦‹gÊ­´³S°-À‰†±®³ GÓ3DʃËÑm/M3»å?ó\=ßÎö‡sâP´Oçš$u›WøgQ0D9Aj4Õ#’4lYÅÊ¥$ë¾F»ÏÌA¨ow(J§ó\ñ.%ŠxæeIMýû|»‘ôô÷Œ‘ÊÃM"ï±F1§FùÿlYŒµ¥sÒÚ‘ü­«zÌWADM ›ºLÏ‚!CE¨åÔ$é@FÄJƾ©P":•ý»æÙm‡TÊO5õvÂœúŠ2@˜ö¨é‰.³ÌWšý7¸ ,2+/V%wŒ°Ó|+‡æ#¾œÏ9~°gzêìc™$q•sø=òÊ.ÿ}ÆEÏ8¤YÛÆ ÏµÄ+1é#—=ý½uuOò®tˆt‰©qqú§ÙXå•aüí[7 -¯ €4*Ó¥¬VìP¼—"ÐJÂy¨¤»Ó!—ÇznÛ»G›¹ó®'ê²ae-¬'kψ(þ@d|³Z¡~ï•û3œWo'íXïÕÀÚþSûŸðÓÄ<Œº#†"¿ý›DWîcÁµC±¸ódîk©•Éa¥cg{É߉š™ªfÆ~¡==VÍ_Ä‘d(\ü¡ÿñ`¼hxN4£~ jrifý‚Ÿ„-MüF)!46jhT¶vuTì*êZ† í:È€(hÔ 7ÀÐ!4`yßVÞ÷b¢¤Õr_÷ëæ ©…(á×!4iàËì}½!1´Sùý²£ÿ è$]Ѹpå*åá†H°pH0€hðy«¯ÅO Ÿsˆü÷±‘ÒÍ}ÙÈâ„î¤)å&.UˆÖ% J×…s€põÖCbœŸEé¬Ñµ ym,¢Û¤\Ô/}í q7º*6gaLnt”ç ÈÖ‡ º¡XuÌÛ¢¯»,ž#Ÿ@Ä zÀõ–§ÍíÈYŽv:—tD| ìWšäÊ" „û »Ï¢HÃœ®$Î[dJlŠ‚(áÆû>\Âw¤€äÕô~îAÊŠ¿’¼ªk£s!òS»0Z)àæ¡ÜOßá%)ÏWMȃÿÖ5XEó´øñߊgª â‚×+4,„1¤srÔ€B3â‡?ýÇ?‹§*ÿúPO…KÆ“úÉŸd\ŽŒZ §nøäm6KâÁ‚¯¼YCßWGQU{(èh‚ú À¶DÉ[ÒÂiCÃz¥{+ÿň}­Aœ UÒ¹v]RÛâ­ð~ãÞ€Xms7\ƒ¤ˆhŒ ;–’¥˜ÓÿÓë;áÆÑGÒïøÀæ@2»ÎÐh|+ßÆÍI#RT*z‰a‹ †=µPõH¤¥&mnÏÔÂÉÐæCG<õš`•ˆy‰‹÷Jâ¼R£±"D¤û4²<#r_Ûº*µ‰>üoÖ°Od´|Çé|wÝ3†èÊâß¾_Cüíˆìˆlaü#ý?)óGLË ÿQéEˆ¦êâ¨R4ËÞz¡„]Î_çK`‘–åß'ÜCˆl’Š°û®ÉkštÅ‚|ïCíÉŽš/wü2·œFbæî¨ j)CÓ¯E”n¸ã¯×4{£?¶ìx=‚¥Y¤qË„Rãßý4¯0žf–T¾ÛþYÊ|'äÛ‹­èRd˲gW"•ô±&;È::‹BiíÈÑñ¹Ây§ËìL¼9ëüàç;®øÁY&Ñ™*q‚ætCĈ *¡™Ö*ÿU#ÝÁD¨Lòj¤ ÄÀo¬ËU“ê™üÖL“Åž2±õ1ÑÍ£{Ôr‡9TÇÆ]TB¦"  Qùb¼ƒ@LID-'ˆ)%!E¼é¥H”–"5Å®£¥[~H‘M˜v8\ 9ÃGµ Êj¯ðc èÞy^;]FsúùÀJòÂÒAâhc,ÅaÒµÙmžò–ËÆßÚÇð?‰<çͱÔÇè+Ì\å<Ë‘וSë¹4W·µ«ÎouÞÓ{> œÜ‚k;r ¥þLÕÆî†àÀ„°#`Ëø.n$ê+u×Á§»å9…˜×—Šþ1"‡kr38(hóš§ Àï9éÃ6ùê¿òáóqcqov—€›²…NÌiB¨¢åd+ÒŸHÇG&‚ðÿ—Ñ’Ùé+|û‘TÉø²wÜ1­«!*»|šs1pzço6Ï~®‘½ÞNü\Ü,Ù7½Yg©wWbÓ?;ý§'‡O6ŸÈ×ðäÃ0Ú" ŠÞK:o&>ˆG˜Jï¦6x!oæÎ¥õ×5@Ð~mé¸+Y¼õh¡¦|½ÒO.^ªZ€b~³Òy‡WÛüo¶úv¥•«ªÕf÷úÍ•rµ·êS7âŠôþZýÍ^!ð:EQÉ©VO‹Ÿ^p­ÛØ gŠþ/ßÎ1¾¦·Ù]lí›è'c¼Œ½ÿù±/É×eáo¦f¼‰ ¶m…-jáõ–Nÿ›±K .ãß'>½å‡š+•ñDÚ A8¹èw? 5` Zï#9øYK®©t¬*@‹¼~Ü®ÉLuúkÇy¸ƒšeA²u1†÷u6&YÃ#>’ÊüMÃ!µYœ³oDÇŠWnÙ3Ä&‡æc/À/±\@«ÔøHmtKiLÇ«ÛNÇ}f—+ÏòïËG"óÕÄ6íJÿ;^¯Ð´xZغV9= Š›’àÕ^èd`"Õæn]OyµxÄpäš­ k»Õ‹‡¼™qŒ~Š©+•»xÅ°wE >1~ûP?Ñ›wjuf4"ê23»š±Ì<.jñ$„=µÒÈ“ñP߇fëšß­„>Ž<š$åÂC À2Cgýn•C$t¿éûûfµSˆ’rÅÂ.“cú¶à¡rðƒÊ‘ì,{7çp¦;¬+¥H5“ -Êêȇӭ¶—p“Èww•ýA¨Æ¥Ô ·Ä¢`ØIXFQ£Á6o‡11•}4DÕgµÆ]êÔR©Iñ»‡ÙXR#šßÇýÛÒV83€q‘‡ô~3ԆѡñY8úm¡‹™Q€æÓÉ—ržè[Ì•‹ºÈ "ùD[Û õ—4Üûos^¦²c É¢ÅPÕvÌ‘G œD'qœkÃt?ûb  q¦à¢ê?=i€:¸WÉaª´È O¨÷ÀD„ÞAb3†rª…ŸÌ"îƒý_cÚ®Í)«m¿¡t¤Ô$#·Žÿ¢M_£)þ½x PU¬ ¯CW'yÑ:3Z@ÑÿéÉ Ãÿc¤O~<½Â“?߶ѻIŸ$Íd®ê‰)¦¤~™Ò’˜4Âù°5¨Ü™í'g·ç˜ã°]ÛFbîDmS¼Q­P|ngQ›‰±ÅšÓ†7E0dœk4>-ÊѤ L­[(Üya»¸ðÈ,SYÛkÛ>¨k“>LÙ ùG˜â}>× Ëwa‘7e{*‚$kFSB—7yh½g<-½ç¬@˜ÝGÅvSêð˜/¨Iœœ_ÑÅ©‹_·wy¹»dQÑg¯oÑn„ÂÈû6YáØz¢ʼn*é{ Ô€:XnÄÙ ž‘¤Ï·k‘ßMç;á7 M謭ôL=Eêó^ã˪œ”‹¾Õ›dƒ¨õ'O|Aí7O}iõ.€åUÍ ó€øòöÉÇHb>RÙfs«»JC'8DT(âÃÜW5‘lnocF¤zÎÓ€žwùÃÄ4Óhl¼éPh‰p~Ó³9…Ëåe!`0“‹Î;Qµ‘©tîüÔäŠ#è³~Ê{>IM,ᚢ^4~ú¤`žz¦Šï€‘» ŠË¦ý,,¸.QÜ s@;ËCS¦ê =w€€ëã±å¦:?kÖÖÆ"< RRx@Fü9Íb š¼=OÎű®qÙˇðd®öÔÈ@ž‰j5×!5=Ø¿Ëý8];Ó‘«¬_ûª™æ;–§ž&‘ˆ ´ë^ÔÓuÏéJ3"iHxJ™åòÝÐÿà>Ï¡Um.xõÏÆù.0çJ¨GŠïä‡ä‹aÂDXØøeOt ä£q–vOîfo>Öy_¦d£ÓVžvÁߠő뢓0 ‹=¤DjÚ ÂJ 0¹.i˜›)ý“>!`Ì:ÑLÆÊԴÇ×ýv»¡JˆùR~»‡ÿþÏØMnÆ8ŒOÝBPŲëífU…¦—·¼4äôèù@•3$V§ˆEzª¢îR}$ó¼QQº¡é ¥P‹˜ÁPç°ü§è¾o€ÕÊŽTóα½6Þ•{\ > "ÇÖö¤Â¾Š‚Æláþ© mÎm7M‰ÔÞÏÓ(5ì‚5Ž4'¤§¡mÔ æ;ã¯Ê4»ëâÅ@Ó1RÐU£F¶NB[£ àîIVªõB@…4´¢¨“»Ð‡ êgû+‰_$‚™)‰¥7=rr¯Á–®^+lš µ™/ìsšÅ_T ¢úœX¿¤Q˜üRüLûí4½é¤“ˆnxútjVüÕpâÓgá0oÌÿÞ" 5ˆfù‡($û(·Ðw˜r`9æ|e¸v-Í3þ+=!¶hUš8ÀrZŠª“¥ÜKÌâÒ¤ûÖM><àÌéš#¬T‰Š@Õ¸ÖÇV0Ï€)®¿Äµ´á+Ôy9IËÛÓºSû½óÎJ–ßÕ®i7#¸WŸá’eÀ3 œe$‘Œ<v³‰y€o¦ù¥\îNü; ®¥µ÷¾ÑãZW6Ÿàå˜\‚' 8FªWbÓ„ ôࢠ×,I®šÕ.zßDÜmz+z#çÒòœ&_Ç«8ž¸(ÈBeÿ/nzR¿w+0®nA öáFõأ禿¹NÄšw´=Ý l2ÔuÔÅ퉀W¿7€w$1`º¸ŒÏ‚`Nü0á‹4 ¢9e1ÿñL¡y ‡õ6†¶ëÿL#ãÀú‚àG® a—=óe`-b:”îRe ¦mÅòR†æÎmHCm†R]¹Ú”ÅõQT–Ûq½ã’¢SÓ†k³¨G°²\‚gâ*¥àj·;ÚˆçH9ÃæÃI¨ûs;*†u›Nv¢ @L¥Oiœí, ¡}^§BH×ùr§pÊ£ÓMOnœ0óUñÃ÷¡Àmh­ª®ü¯ém?Ý£iÇj²±OŠ¿uáxø¶9ñb©ŠMœ åÕO*"§–À–Gunƒ!!û§X,› õ©ÕÈþ×vr’ˆaðÝ_‹|ϖˬ”“¸ƒ%q†£˜må‹7†> ü#vS<#ERu.öÃh7¹•µéïÜɸoÄ’CÈþOŸâãèÂNrغ£#ù([¡‡¥£!ã¢l¬bšP)Îîvàú¡á¯eíæ–‰=á1xO›V#ƨ¼¤—îçé¸ uåµ,.èÀò›?BqgS¯»?m‰›Ô®jÄûKæ³ÚÚi¹¬>Á~Yªv@øŒ’½î3ÿ-þ_ÆÃß•<ý?B°'EÞ­Rúì$u»é —@m¼rëÀ~?qu#ãiWå]r+E^\ÚnÙ€ÐdµÑ0CöYèÆ£ãœðnXCÔ5¤Ü×­‰¼_o·¼´ôˆà¯4°átYlÓAsÔŠ÷ÎUñ,Ë èÿ&ó;bj=cÌ€)Ä{3EÑÂ(L¥€-ŒXW7mÝ2yÙb°9xËŽÿn›ŸµœÎp˵þ{¿Q"¤üVÎã¤ð4d××—Ñ¡X=–"]Hؾ}HWÃC€tØÎû+i(íôʵr|àÊßñ,ÍKtl„ÒyÌ1cˆÃGq’Ë~µÝ†£˜Žî‡¬;x-ì§K‹Nl‡¿áºr\8O‹\Ö’e»¯wMËN¯¾Y¯îŠ4-ÔOQôžÍ?ö⃖hažèQÄ®f?ý3ëËÿù/J®ú¤ê%iEªd˜ ߀;wç'}ÞÃáÄÚ‘€Ÿòü¤ ƒŸ¥±e¤d¿ìf/ÃLÚ„«q`ßl=e¿†Þ°'w–y¯U=Ê¿æ’Ý|«Wi‹ºâyœ¸/ÌL0ïôË=­jžòÀç,YMçTúËnÈîŸÛ£#Q¥tø”ûËõDFâkð‹¾Ä|²ä-ß•)|„Y°ÔÈ«#¢Œov7zÁÙgô ©äÈý5,?–Qaûgߤƒ“}­`]õvøP#¥LÑŸþíü¼6¨6œ¶äŽþB5Ë®Z¾Ï‚ ðÐýŲèÕIJÕ}‹„=s·³Ÿ¾*NŽÜxKÏèêÇž‹ÊÀÏ3L>Pù¨ÒwÒÊPW®ù“WßÎÏÑ÷>^‰'ÖKøó›O²•L·ôzO» 2øc}OÿYÒNä‡J± 3í;K»Ÿ–¿_Kxĸé~=r¦ñsÝÀŠý:HvÙk´%ëÕt$;ÆôM»ehûÊÄ3n )üÜéÅÏoDþK­3s¼ä‰Ýét&mtÿ›/3àÏG½„Ç€(I'Ó÷QTü¯'^r›CÍëvºw¢TiÇ!è^þîÓœ›gíask…¹®3ë¹ÝkV*ĉül?Ñ:bÓÔYsq`óuuëu•1>(‰ò [ ãZzioŸ£J˜C+Ôf¯ƒ6$~¶ä(ÖÏ¢€£ô‰Ìñ U]ÅÌØG A)Ú©'!#òn¼âtr£ŠÝøCZÖ Ö éV¾½'îØA®×¯§ß ôC ÝÁl§¡ñ\ø—Š£t¼\蹋ÀÓ”¯4‘2E<Ù¤¥à¯‹)¯(}”°òÃm¥Æ}ži0GcCÑ‘j ¼÷ ¤áX8Ðã†v±‘q»fÊÎ%b/1ÁÄ΂“eÞ™jÑ×íÈñüh¬8þ†ìŒzÏȨ"K½ÕY •Ï·ÛXêíKú»VAߣý¼q¤ý?Ú|T :ÝŒA¾ºÙµÓ¯ð¿ÆÕ.Úe¯€y¢j];Ø|E˜#Ýà(–¾½Þ E“"xŠrßÛñF5úŸ~ËôŸUC¸^Hœ$¢¥ZÒ¬˜×öÔK—Ýy¤871–_ý Ô‰Mƺå"AÜVÛ´Ñiäæc;Lw¶…)‹i_±Õy¢Bß±'quþj;¢¿žÛ>QÍ„ÖPtžÿjûcÒ–®l¦fYŒìé$LàÿµêÚÞÛ>-N'æ±×íh9¨%iŠÃ‰™¦¢§j ÓÅÒÑW‹Ï<(„z”Çq*œÒŒ®ªerŽVvl#Hï¶#šÝr®çº\Â|lh§sQ䦘Ûn{],j=KïtêÅjG¶&fêÀ©jG*šçÏî}ê¾­<{çÉ&ª7’Z_ó‰mí¸Vó´{í³zgóUüóån÷çú3&·p‡÷6í ¼:ü® ,SjžÇLÜÜQÅ©ó¦ÆJëîïØ7• zèo:hÝ}ƒm&PD<•=•À»ti€ñ²NžŒ„òc¢?> Ÿ6¢‹;Nõa™ÅaeO’#îÿµ"K”…+’È_Ê„›'Üfu›8øU#†ÃAR„ÝèJPUÅÛÑ’õ22Ÿ#žæ‘ö‡œó¹ÅÀV©ÎfØü-KÅǬ ñ.E"CivÔ[‘êƒÏr_£ÿÿ;îæÚbJ@)̇ý¨ØBœ›¨˜ó ú¥@Ï‚vÖSý°t½‰Bn$&“ØÍHãÀ“nBtÌË‘ùÎÌçÌ—¦Â³´j®ƒ´±[ÁËÓ Ïý’Y!ík¾úÀõë?9ü€<;û+Ojäöj;zZÓ ÒEì)L[ÔænÅ°~bîä)HšTŠ%ãíWîgáhñ´wv`°ŠV! xjWImâ7™Ç™Þ»<Û]ÆŠÓ:B&•ƒÖÀ¶ðŒ"äG@X¥^;i¾éXO9/:çEW@&™j¸«¢õ¸Kú7taŒÒŠÿíkù:›ŠðË„æ‘šnü½¦—¸)ôr5e#m$†´z,¿Ç/JvÔº¥8t ‰il9vµËÚâE%øEkFQž! ­Óý~ô-hb×tÈn+'—"£³¾ðú?cÞö×Ã/I®&y"ŽÜìq–sèß(ÍL‡NÜÜ.áï•«/@HàtqýŽ4Æ$ »úS­’m3Mõ£Ï\ÛQwšcºùqR>F®Øl[SZZ+ð®Å×[y» çj4«Æ#µh_j»NT}„"ðzÖ¤ÊrhÕœrå`£ÓÔx@JH4ýÑòib¼…Ø0¶¤Œb„$Š™ªi}qí"3I”+ÆuéÄ["ûSMl³±‹ïœ_]ôWÞòPÜ‚ˆ"3½kfE3µaú ÄÕ{UƒÆ€Äô¯L똞gÊ´Ÿ"\ð–†"JhƒÔæz¸fãvcÄb¿È,D0¼³q¾ˆ/¥’¹-®2³Ö(¾Ýô¶SrÙ˜,KëR"‹GÜ•~þÚ’<‹òº$½6ó×Qx¤i›L’tïi1X‹©¥É'ê}G$ÏNÞ ³â1Ú¡„˜ÕiA3vjÛexøo@#%w®Q-…ÜX'öÈÌ'Hù‰QØ7Ñ”º>p#ãKéÓŒ{™¦8UMiÝ©ic 'ûÝRçho¯ioO3>#§­J}2<]V"&­˶žT°Á-tY/²¶âtô«õ——»Ë€+¦ôT{¨Ü4¦Èc}fidÙ‰’f}ŽãØð®’N\8Üj wp0/¸Kt lø–á´›Mc´þ?i•)ì.lDó?ƒ+פ¯;(E>žÄîÑ&>+ºÌpÚ wÍÔ›Ù 4™¨4›‰™rx>’EJlB3E²,’Ó;ÌÈ{´‰šÙñIí˜ñ9ÁyÚÞ4 §¦§ú Ù–Vkä‚ßz&éµ]"ƒ°a(¶gêTÓœ’F=<²íÓ.Ë„d;®D$p½ á]"+\ö?|E›S`ëÉ;v9ÔlÁO\w=+ˆf^XDÁIú3u#šL3ÒLÅø-±•¡âk-fkU¼vâĬh«žã¬:}ÄÀŸmt¢±Ù’xGxÕ7^éòqa¾„——/R™/úŽ•"ULUшE³¬K/:ªÌ4upæ Lµ €û¾ØÄÎÌ×$ÐNTÛƉrCðáÅšTtè1ïŲÖÿsÂ&|˜˜–%™CÃÚçû# i¹´;üŽÔþ¥* Øû¿OÕW:þ&©½­È´¾ÔÑédÝL@«Ÿ1½Qª¨bîT㱫œ)HpB¤ÎÈ)Øýú*g[þhr¢pnTãz©­1«X(½»Ú-°òÂvú¨ðëAÃ!Ýó_ÿWqHÍ5•k…À”Ö®ñ‰"->Q])JÑ,PòGB¢ ˆqЊ?‹'QÕÇw¥mµ:6À,7‚2uÅ‘‰ýº²ZMÕÃ8ëË€äP.FDÛƒD§àüíĦ;/þª£Ýƒ¹BJvch¡Žè=µ³uņó‰ÄŸ~í›Âw ;›9ÀÂjqÖw$ÂÏ•Hý™´Å”âw-Òeý¬Nyk4—QÜI‰&/û½ÃÐ_†Ÿ“,>0#Ü„Àu-5@iCÁ¹9 dBÀhûÜèü—ÄÚr,Eí{žÃb*íäìpî—b^]«9,zÇÑ?@;4´©ô…TE¯G¾„) ')Lç+ßö¿ºËÛþ2ì¢ôL[)'µvbCëYÒIë F.€C{]p8ÐülšezG‡šõ•—º'ĹJ³ÑÕ–Ét{É“IH·e21Òg¢ãYò½{‚Àþ£Ù|ÒÉŠ…ô•“fÍß_â郞žá«?ll¥7=ñÀ%*m ×‘M5Éò1„ ?ȹ‰òw;jÉ)ÀžÕePèi2?Ó`‚U¬@û Ú³aÈ” øJ‚ ’n§Zš-è-— ª}s4å—uùaO‹?=-ý!çë-’t—bó"ÒKk3ÃÅ÷L=Ôº3–r ,ž53Ÿ‹‹ôCBËóR}l­=ð;³R¶å¿I¿ÅtËÕZ9rå³S%IpǶIÚÚÍ]@Rl<t&´6ìq׉9iÄj(úmb•†Äø†$­9BûáFq1>˜Ø{PTÜò!œ[ØùÐàõ—Z" u‘¶Lc:cÄ€èZlè1WDÎÛˆ ù­¹vØÑpeäHúqe“@÷›Ð†a~Ø:î“¿¥ÖZŒ7EBkŽôtK° Í?*W¹ôÊËÙ»…HÙqì2á²±ÇÒ˜…>Ÿ¾°ÈÚÀ£ñYKèÕüãðB±÷J‹gw¼™5œº ¿ŠøæžûϤ?G¶^½m`¦Þ|žŠ¾ÑÁ%ª]h$;µŽ¿¡ñþÆv¢ð£“{ôÚkὩ¢f“ë8ð©ˆOÉ´ÞˆÜ ´F‘ø‰y ı+;y\`·þš3;šõˆå'®ïïh>'‡-gL ÊÛP•ê¤›ÍM5´ã§élÝrþ[z¾â9÷²´µxí?€ŽÐ[£KN{üñÀs1ÅÈñé à¿ÇÅßÿÇ÷t¼ºèy:;üO_Ðy,ì¡žˆã-œ'¿éh4înȹJÛp¬k ‹ÐW÷üõš¦¡íœý:¡åhãbù¢ðxX35. ê+DÉ/wôÀˆ½U†a¬‹];I€Í #‚îõR`BÙtTs­JèyS;œ"ÆF€ItäÑ.‘o_:ÚóÚÿ‘RNOr,M†# Sý9]‡ÿ5üÍ¥ëû6À¯À©£¤è.±B‹C7áôÅxE;Ø\“-Pw6<ؼÄÎ;. ïiUÑ“u*ýÇ=± ®ÿÁ´€ZÐÝñøV)R$ @œ“oRä ͦé²,‹,ùéaGÄ1õzé·Ã÷v¬¡ìfQeçvÜ=žºhÏ¥û•åÆÛÉD&žßá’Ì[ÙŽÔ^SŽë¸ÜÙÑ3ƒÄê-³ÝtÁi*”ãdDjÚΛâ‡pŸ«m¢–J¬¦¶“P×.âo=,^¸:Ù®ˆºé°Tì›ÒÅÎ\`Îc¾C%žbH,Þyº®`0_ó6`\!ù²åiz¹ 6+%YÊà5O~JßïHÿïç-·g˜s$ô€üúR¸.^ˆHý+‘ºÝÈ„Ÿë‘Ž¤Û%”§dêXUˆŠ¯iÁWÑn–]ðË,9¾™ÓÒÄCmÚ¦ð%³ô’'VSìÒ¹=–Û$ö9ÃÛE\œmË™¦ã”n‡ZJ¶‘¾ƒÄ'o­¼‡ÒQþ¤qBKÇQœœ4X(á®&Áš^¯£J—î—L?~è¯8`wYüÜ<áõµÝÔŠ”K»-ú‰ý‡.¯t—o‰KHôiî[#‚p×ÑÕÁ=¿“ß»:E™â‡Vn5+¡c—Pþ.{"{\Ýl`ó¶,ÁF0Ù[‰ØvÜG&¦f\˹¢ÊÇ%æ ”6½*{äT”Rý,Jq5 hÝþì`yŽÚ–©¿ÝÆ+»ñ¿iBÔ^ʨÔ5¤säÂÝ0ÚUÂ[^„üŽ[‘õØoÏe3Õ#1ï;.Š“Ae¯ãÐÑŽÑ ø¥5§tÇ‘«ŽÎgó¿ï`?÷à€6{TüÌUT€º"æK”ÂãáÅÑ Þ?߀›¿¤Î5_þTÉT¬¸ TGþàõ²N®I¶‚§BQ‰³èÖÆ–*Û4£åevÈ‹àÎ —ÄWLª4ê|‰x†¸Ê¬x÷žè@™„gw’Ɉ(d“.ûý÷ß‹'åù°KΫI©Ò÷3n€qõ‹xATýŠV€o˜Ö8$ ôå½fl’Ê~ÃÓší¢-ÜBãìµhü…öÊãbË¡uJ²Ss:<%±|YNmÑ2¸xý~À¤J ®¾ˆËç*æº â[ă±¥£EuˆhÓ8³Ã…¾«ì†‡©¾_Ò7›‰.Ì™#°…ü¹êÁÿ†8§ma18T7Š¿ÒÙÂ0¯t)ÎçÁq´ˆ:Û‘fÐì†Â‰‹Þ⃮!‰[<ðŒ#rÐØH€¦·iÌBÿºß†VCåhÑè®lTšAÝ™rRðt¡Ñ#Dy™¡°Üyº¯-¤[P*–þ’‚7œŸ €b3=N6£³¾ÑDW9af+qÓFü·¯.û«~,×õ@f­,[‰ô!Æ®†×çØL—ÚÖ›k¦:9YM©à?Oóû2úÖE™_‰;Ö×@â\ šE˜QY»Ôï ®†ð}`h$áémɹˆy*Ã%p‘ÓÖ" ô¨‡o‰ûÝ Åzh!®»À}÷ÐæýÄÖs:{6pïÞ½/ …)¹–§M¯5ãìf[&_ž™eÓœ5” !¸1ªM€L}(i!‰6à9|¥r¸áA‰LÊgÐʨH£-&ëÞÍr÷  \[áÿ>$'é7Ôbž¥f¶ÐF÷¶¦¬ië”À­úÉÖÝßhÕÊçíM[ +E™¹w³VO!ˆôãe¹Á;Ó†Àÿ¯=åphÛöi±}„7ŸL·[铼SHžË%/&På”$ÜTWø¬§ÿÕÌÅ”!Ÿ$)Ãöb¢îF`ïµDCTŸí¿ÚI9Ü;œBB›mõ$æ o,‚»iÀ†vlÄŠ$²ñ‡ö»¥ª$ w(´?9üJɛюÌáÙVV iS¤ó#bëÑ|Eú£2âÊü'&¡á˜Ï)ŸüûÙ1žâ™]ã߬4þùiÁ?I'Ø®éäSÈLñ uð$õìÆŽEœ–iš YËð&o`$ûˆ£4m0·¸Á‰JƒôѤ}×¿à ŒÕI¥éH¼QËÆvüÖíº“Ì3ù¯T8m ÑH×kU‹m;-Ú>ãfIåkÔÔ%'Ì·ën)SN?oþh]³×¦F„ËLaZ[¤Ó¡X×|§KÛ¸Ôîr׎~«š(ß ÅÝný!®þÈ)q hòÃG>·Ç²ÒÛâ'bDjgÆ GÝ×ÓâEmǶŧ\Úˆˆ©I$@»D³ÅçD ûá9üeÌ~ŠŽ¹ªt9GpAÚ`k&¤ÓTc`ñNOZ¤fÆÕø@´ H\h ¥m£áÀ"ZLK§bE¢ËÞ(z»H¦¡÷ÀÌoc¡Zÿb»n銥söºÉ'VCâ ÕæØ䣄Ñ7Få²2¹õÏEFr0¥É­Hf‘R*è«-H#w•Œ#¢3ü€$ʼnpTXh…MnE&ËÎô KºÚÏ´*;ÃÏ϶¦šîü /AÄå@“{›sU·¢NÚ#O~¦G‡­[r=ºíÄΟtñܵãш1—Aˆ¾Ôܱúšœ5ð+e(Ù¿!"×$Õ5À¯áíž[€4#z…ÖÍ°ë~NM—ço|û¥°2]ð×YðÉÐSÛ,š¬hÍÕ1–€&ý˜v“¤²Ñ"JØû¿æ ÔŠ1ÇGGÅFñ¢B×g0:RçG)é·¬<|Dš-L;ÔÕðY÷L 'O‘ËÐ*ºµ1³ ËÜ·VX\õãCÊVF ìs_v‹ÝõÏðºœÑ m?N<ïÌf¹¸;Vðè—+q^ÆCøn÷òI±‹@ÕÑòiñ­|lêôÀ?fT†t³d`áÚzC>$HQf²AŸæÒcÒ4m™0!›#ÅÿÂÍ`å4S²žÁFY†?€rÀ¸D^¸N[K÷“ð÷%: ¶«érãÀ&‰‡›Àí“bT!p àŠþÙé)õµoîhr¦`¬-7@Hô?úVu˜›îoµÐÂo{ƒÅÿl÷ADžòòµ Û…“¥m¼â¹Ÿ\ß{²£#%9L€&¿É©BØ##GCƒÔuiªìvŠôž~Éä?g£÷¾¬f˨æH°€'›+"Õ6{ #yŠÄÀ1ÐW&y­ÆKÜÆ;‰J#¶Ž*^íz$òpš&Þ}{;.$øù@Ü7J¾Nt@^òWøþz\ËÅËT³RÞ´9-Ñäe D ?%'mhüLbï\D5ž‹Ê ¡ 9PO¢–ÀOí¨ÿÜQŸ«fò0Í3¨Í~(þÜwM´ž_ ¿ÀjæpŸN•Ü†ç#Ñ–½;l±%˜¶³x‡ó‘ÕЇD»€Çl\øÒC4–KFí 1BPêÞ;¿ !¹þB?3°™0ð†eÊ¥·}YªxƒK‘¶¬dp\Güòd& =(MÌW.[àÐOÿ¿éõï'—÷Ú¾rgÚãBWzõ\;êíµºê½ÉžI±Íá®û¢÷ã7¾ÈKÚ¼ã/ôÞýßX!0„®¼}ô¼L©9‘Zé±à\ ÖÙ& Jƒú“h¼‰1L‡tV ”½¹ù;]õ×Ø;;ö—ÓáÔŒfpõë@Ÿ1Ðâ-tp“©þ”8lõÑ%åžÁtšÓŧÀñЇC—­öÞŒEüsGCe£ê’TµcÚéœmú/ô^$ †á|_ëYR Õº”Ò}¯£~€5àǧþ¿HØ?‰¤¤ëÔ€þ{uû‹ó/n–tÒŒUñ“«," &jNRÉPsÓT¦™%•“úi­F “.]¥Z1œ¦sps™ *ÔüØ®Cð¹ÈŒRGµþv:ÂÝT¸ q½ñƒÉ¡˜Ï1GÓŸgJ^$unaþ Pc¥l!‘-†cÑ÷ž¢Û(ÿBÚPW!dæ’Á½[&ß&mÅÐj'ýˆ˜JÓ,‹g·På9è%w¢}µ“iù×q‰£i„1/aÕ 6ƒ³+&IÞïvÙ<ò¢& zŽY|Ë7a¼—®.±$ÒÏ{î;;–ãÙ'ÑA]ÚhtÀ›pn4m‡=ÈÊÀé+y´!ÌŽjGÒ@a€^Ÿü¤¨§ð¤x1:aah›Qž² ½ ŠsÒlZ 0©¨¸Tì@Ñâ÷¸‡&ȧ?ëñØè÷ðÌe®å/ÐB o¥"˜Ô‰ Qùýµgý‚ŒGKæÇ?Yq¹lHp-Û¤ŒÜ×]F1K¨‡Z]Ô!®Ç&öØÖM˜\ñØ#KRbet[Ì4M×y­€¾"Ööç"?·ÃéÀzK[ËÏ2´ŠÔåƒA’|TzlM[w1ó‰Ü8“OWG7ð ¾x\8¸_A¤p¦Y”q&™$«g@Ÿ·¶’–;'4 c—ÇbŠÔ¤­v¡Ž‹¹4X _•NÐð‹› !ë{ßµ§º0ÂKzO(¼¾ÎÒI#BT>²¢J˜b_îTf/ïê¬]Šøí]Ò{4ÂzÑLŠUËÜ+Û•VA-Çýßò%ÈN˜ pU¼Eèš _ïèÔo/o¿‰Ñ|ç«ÖúÓ¤{L‚åuŸ’F‰ê™êèœi„†ràšfI'8Λµ>hR£Œ†Ø²Ûh8¥ÏçÑŠ4|a¶r€aØsÈuF C{J%xçɸ–1ö„GófÆÙ7#YÂ.ÿ™„¯¾q| )ÐmûìPÕ÷­×AÔMîöÙm¯üñu ”ˆfü.ZLp¦#V˜´å±JVÒû»·lt×䙼² í µ˜L^åðžhò† VÕÚO›Ê±úƒ» Á1½Ùl|:Ú>FÑç~Ep eˆÝ2Ò'´1LúÃÆÜÌ—‡¤-øè"äeÄ1I Ü_²‘ONÕkÿñ–wz-¹âÅs‘lû;DÚ):¥(·|±kPâJ¨»L̳ø<­W +L’®hû+-NÙGÌã²—´Í1¨¥ÿt('¥.¤bKC‘«›.bËHc‹kH2˜»zŠ½¸5¥LÌ&1«*†ªQ#Y9å,Óá „ Š:X$ /Wÿ¤‰´ä:aÅóÒeî“3à¼K ¦çp}8´)—ÒS¸ŠGz—¥Oá.+»ô–ÐE²cŸëˆ©í%ΈÒhÊ¥¶K˜ÀXMÓïéH_ŠÜ×ÞåÙî2j4ô—>rf§½eŒÆMk’LJ’SF2F…FœPS¸°Z_ˆ#ëPÕ,.bGýÆ ¹ÕcoM^Æž¹ :‰C`ÖU¾ôrÍ«ÚDÜ^Ÿ!`ˆàñƒ Ȥj !}2ÙÔ.zMÄ=ÃtFbi}ÑIœæúròX£äxs´……XŽ/vÜ Jqô “ê\ì.³bbg‰H§‰¾Ös;n¤²X½³LÉäI7Jsþv©Zâ¸þ¸î‚Þƒ³EûmŠ3e’O`ÁÍ&û~b±ƒ4ÔZØŠ˜KÛvŠø¹ái‡­ž7(9‘éðL˜)ãmp蘮åPNMŽÿhKùËeqÀÿB ‚[ÌQ¹Í ¾êè¡PËaŠ”À°Z)¢Ð9H?†sºZ'"°ÝÙiC±!«Uì|Ša&«ÜØzµc±çL G—ãC Ÿ¢Ìá#±n¬3?†C3,^¦Rå‰xbv®fD¸GCX›PÆ‚¦&€¶Ä®VçxvgaK 3Ú5o0áÆéÛkö—o¦ž <ŸÓ1âáO/Øüâ)çÛé‘ĺ9$±‰p¥°îhDO©_ßzrÅèšüÉáHâpÀ'ïž¼’ß;U÷znëJÖ™ÛՉ鼞ŸÅã¢A•Ä#¬ô-uRe¿y¦Ûdl¾°ÔH¨ž°ü*DF½Ò=pés3Å‹žeÊVr‚û&[.!j_`Jþ”OÓ¶gj,íµL«FFD{pÝÅnÜ´¾èâ+[¦lØHUYœ¼¿ÅžµÂÊùiZŽª¸Žæ{¹oD\{×Ì›{³^¾Ñ´‘ò'¢¢ )ÌŽÒâr)r¤9êb¤Š¦k‰7"1$»¥'‰ÇÖ{šzž½É¡B Ögñ0%Ò{ ƒï®Sq)8Òt¤Ù -P«þmò¢û.ýlÓ¦}ÂÄ ‰öI‡_»‘¦µö¯ÿyš¦wÏÿòrÙ<û ¢fn„2u‡ú±ÈEówPÅó2Á¾Ú–¨U}±£½2c+­½«ÄóQX]ïu¤=*J6„ÎHqn„áÝwðY!-“Ø¥óÒU+4Q?7Ò0`Ðjðy·Ûì']µ§¿Aó åš¤¢*àHþ@“ƒ¹Y‹ó !E¹ÃÑ!üY”`×Ïf.°L·€E”Àw:*ÊÖ >›*Ä€ìEŠ-‘ñHÉFé_EºA*÷z½kÀòD<¾;Õ'./w—øå¡eódK“sUf¬Nûuؼµ]Uv¨Ó”¿[½øhé…€'-QžüNz}¸qNía ç•f‡zä¼Þ¶æi7b3Ä‚ù="<é;Ï£ñdø>ÝÐßųèZM:~J"ù’[ ‡DŠ^À…(Pƒ‹b Žˆœ¤Fœè)´7WÆP`:KP¯`£“H­bê7ýdA³J‡uÒÝQ3ê “[7¬LQ €·Hb4ÏO8¤òôè–®¡‡k7/Ý´Qc-óåHOíl®ÆU²M\É©E¨Zwugé6&°¹Dû˜"ôîÿµÛÿãÆîÆò¦f„b4)†ïW» £»»q°ÀTÿ×nðB=ØýL0D<ÑiØÀZ;£ïE3F-Ûí¸ÕÑTôw¬fœLÚ§’~húc=£Ï®Rßmp*¦öØ$Þdc˜!ï¡P×Ü2€ë%!'j¡²kq‹ZÐ¶Ó ¿Û!F®tt†¨ôÞ“0þèªÔS¨Ùã8›èóL,f/\ÏKÀë§ô]š©¦xG+ ëRù3ÉXSUMe‰¤«»\mΣÚíŠ=­ ±L×¾ ­Xƒ‡ ~â!r@‰…iFqnù+ê ½£Þ«#—F÷FÇ}kNÃØT°ðjÇ«,QMQ/e¦š&€AjÚ”TCçÿ?D<MˆÎYÄr‰€t¤›N“ó纠ÚGË‚FçD¼JBDpµ„«/P…i™¦3cîÒ‚')­bÔÞä…;ç› R=ŠÛžb¼ó9}f%í4Çgɤø‹™4ÓibšÊ©ðä=¾˜;ÃA·SåùþN“v£Œ©OÃ!lXÆC¸ŽL²Ðþ}Ü`ÿ^ÈWŸ¢–IKË\ŸŽ¢øJC$züÇÄ@Hä¯ÀH®´›¸\ЃFˆòÀŸ®r1Ûl×W«¤þŒ*üaÆ1 ƒŽ¾$ž†ò›]_È£˜“\dé#·8™fvVÐdŒrÆíت¶s:ãjK3&™á.0 ›É™óÓTØÀ  Y @;ŒÄì¨0#“R…¯pk70‹¢YèV‡”—»;ÀÑja„e ¾r^¶é p› †¾±\TµhÅô/Ñ ½$‹œþ“¶TÃwÅ5Ò¸u¤:½2pIŒMõD΂&ëÈ2AºÍo€@Ó ŽvþgŒÐ&ÏÔiL`<ÂIµƒ¿Åj+þâÆF*% H²{Ÿz™t[,iÍѧPª–9MhU¥ñ§‹#‘v…i¨•ÜbkŠž§‹ Ó«A><;;Ü¿d¿A™”ù» ¡è¥›bþ J ‰Å>££òT‹»óuñßþãOi*tĬ°ã·\®lçÂU¥QG±c‰f$>“|6GU_'»ueÇE»\$`´>=eœó,9‹ojªfºD¾<"¹Û¨Ö4ô#WÇqíH>=5t ÐNÔÒ™}*?G܉iŽßü¨4øüH3Ý»éTJ(TÍTlS³9±é¨qŒ§^‰çƒƒr@4çZT©ÖB¨™Í‡òŽøáeäTàÓ¢C’gðç çÄ~>s,‹~;ž ㌾hUüUOh!õ;˜Ð輯6vXÕ•‰( LsÎ/@+ÓkÐMÍ#«R‚Z›#7.“KlU™ñq˜„8OÔÕ1Ô-ªɭܱî‚è¦ô9‘Ã!/DßGKá6ü-ô¤”«Ÿ?þû÷ |à†¬ ²ˆhLI’¬å‘˜]_ ×í*ˆ'¶Ú ='C~£ý­2ü^é–©MrC=Ï\@ËDZù]@<*IÞ¦%»k¹@ØÂâIvÝ bW€ó\C{ˆÏIn,¥ÚM¨DûŽD†™iÛìc!ƒ±E=ØZH-ÂñtÅ_›s¬šWâÌ­š^U&5k¯|óFF¥_¤âŠX‡o{GržÛêˆÎˆ¸BšIüà‚ïÞƒ´G}§d´óõŽúž–“íá ¿¾l3Õ¬±›©(ñ}=1P±§ÔÉO JBð_`ÐÂü|Œ\Žš4û°ý3±uÒÊ`Ô13uOyÙµ™• â'mÄùÿņøM‰Mnõ¯ßoT&idXq§–‘¸¢&ö«]%ÄΔœ‹¿Ã†LóeNSsZ̹BÍ'Ó0i™ §ÕÌŸ‘^f]ªLu=ð÷ &#½xžý˜X(Åø¸ž.¹Ë´8EuÂa1§s˨.'Å¥½CXkðz¹Àì EÕ•S€ŽO¤A†O®-~x ­ úˆëpv ¾ûdl¥˜æ=ñöÜúGßú`""æØh[NQ£òPýÂàÛüëÓb»6Í„³ cd7qI¦+¥dÞИ…Ÿÿ ]·ê˜ö³rIb5~äG,p°×ëq•¯â'€;„…¬M¶SÜÛÕ.š[~‡k˜þaNÜ(­É‡6ž!ÿ²ÐMrÝa: ja@9ƒËi ‹bö,*çqI»D}ìÄ_+Òײ˜’s 2*ú\þ²rÐ@̳Ž4zÌ tòeºÖð³—eƒ•ßy¬”×]Ô–Nùß_¢A¬"Ç/°Ö€0AÑFÐ ›"•#AŒhyÐÕ¤^’â;‹YñÐeÒÒdÀü<õÛ®·ªÏ„PƒÏJ.KÇgLë~ XOCù¤}H÷BóQ£ª$BDHæ!Úi¯&MC›˜8êh¢¦$þ+¸v &ß3úàQCA;:DbÜÁm¾þIË-îúšDÝSm„ö@ìclµ)—ÂÈQ—Â*P“JJ!Ž‰ºlvœÎBüb&,iu’š1gÉ"r¶»L…¾ˆP¡ÐyZ+þšÍ•’!¾t…òcnhŽeï* Ê”ü½YÀÌ™O,tÄ&3 ¾øÜÒw¸1jãt ¡•ÞRÍgÑŒ'4$)73ùL¬ƒv‘Š"ÊÈÕ‡¹yªt4âá“"©Á:Éî@»{Bßáoœ>$TÇ6$Ø™í”챫FŒo“Ðq5ˆ8ˆ41 rßõ\ÿÔ:cø¤¢y-l½ŽX4šÉÌÀ*ɶµ4å›I«õÆR{,œFŸ¤™³Ô5© 0ëâE ‘õDl=çŸ ù½ñ ´Bñë¶&å@FÒ¡(DðVy<ã‰@Úµ‹Qç˜e˜ÛŽÄ.íãTk³0i°Z…‰@ e|c< w{šXVïSžDîF܉qÔF£¬lꥎþFŸ;1ò+PGÑFð…,…}‘/ü¡ äm&Xa­TŸÏ€Zj©ùk@LqžŸ<ÃÚ `^Ò&Û½¥ˆ†E‘ AkœÆLvŸU£l‚Žµîâ.Žl-ÍtN“ú½1 ]ëX ¨£*5©¶2s’™¹$$5sÕÜÂ9¢PtAZ|H».LÑLk3—“¨­—À8(ԭжÔz‘ @ ¤€´ú¢Œ‹[ÓV³M+Ü”v!_p)§Äiñó£ç ¢‚Ð0ˆêž*aP¨ à>'µã¦'Âþ¼‰º™ú3³ÐX¦”3 1pži4í’„š¹¢Dtî4~$Ú‹‰Ls”8lÙb¯„qù+XšŒðÑN‰³¥€ ûå>;0µM_ñß©ÅT6l5ž—(îÓ6 ;p$KX}Í´\:hN†ÚN\m¤·'ýœ–µn¥îYfÙÝxš>È ¤š¢ÛVÓÛž(8œDýïë ¡þÊ1Vã¹ÀN§W]šéPŒËÒÐ×:œè²Ø\PW¥1–>ö²gÔ©ÚOù„¨ŸÁÕ yÌhñŸŽ–òiG 5q鉧Ú׋ž*¯$ŒlÄï¾ÝçÒ‹ŽìËÀ&i‘÷í7ʱ{?½8¦Œ¯VòÁRѺ‹þLFKô¨YÒóœ6°S.UÞâa……¿Æˆ7”ýÑòõÑ–ŽÐÖ×J_DX²/vuŠ[¿@-£Ó%qñÊ®¨´ÂJgU¤wõás6·sÐýF Ÿˆ.\ íV´ÎÒõ¼xôb ¯ðt%’ßY ôz‰é@$Å:mbêË(Ýäëí¶øi^lÙ“ŠÆÄÔMvkf>–6„ø£.Nßc$Åå櫆â±7˜È°´ö ÂVL€¸x‡ÔÙ&`#f÷ã Çe Œg"­ØGïìp*¬° sŒn37¤ýÁ„šÖ¿ÆïP·à'¿Cl ÇÞ  ²ïh=Hˆ‚%7.‹^I¼ë»\ñ.¿½,¤òµœ%ð Î{NPý‘nìvõõÂãêô¸[à1VD©U‡U¢…‘T2˜úK\G¹šÖB¥ê M›¨¡î‡ŽÑ¾»šË”§ˆhê BDè >6á÷w=mêÕeörÀß‘öÏ{h ávCqœÞ}á¹Ôa¹"mMU·™ZvU8q«sóšéx‹ê„ƵwÚ$Áäò.×ïû®·¼ðs;S¢Qëh¯ÊÍ‘g:òR¼+_³þ2ò*KЉ viŸJjßµHGjH# ‡/EÎ;s73ú”©sŸïêyŒþÅß@q¨¤>}O+Åì§é©  :°¤ ¹®þSÀ©Wµu€Ôh{«ƒzœÇyéd<=Í)±4ˆZßNÆÝÒ–ɃîÒÏ[γõˬ܃ý©¥ÝAõöxŠ²ÅoC :Þ¤N ·H:e í—¤qd)L»Úå%•ˆ2Û@:¯*ÒŸóÛ]N_#îëG¸_Mq„<¬%­ù¥ÄZY¤QÚÈÔÙï¥^;x˜cqª€Š,Ù„®BóˆdÃF˜V}ÿ¾‹±8¿^3"iÞáƒnèàc+5Ý÷9éÞ)µ–ù¾jšÆZFÌmY&YÏ©WËÞlÏ3µézbóì¢;­A\0G!øãFtª‡ê‚ŸÄcÀ>$ffÅ­˜dvWFü]šP·‹Ð´7¤'LÅïÊÛ|Ÿ®f3; øi(ÇþA¦Œéšñ(pf ›z©D;øácö(®Ù¾1²Î&9ý˜–_s™Ù“¢A Ï$È0y\ œ©˜Oâñ…^‹„\µV±:Ö]±(Ú¥«g.½¼)ÚZbÄðoˆRÚQe—À&:‰ò^ /ÚZ·K§ñWÔtV‹Cebí qÉùxPM²Ã]"Úén¹V-cPݽ]C*T‡ª ÍìßÕ4Écr“Z`³)—vP;ì´1€”z‚ÂZ1wŽ.GÀu9‰ö)´¨'>1mƒ4XÔR€þîN–ɲúÎD O ‚K%uW»K ÅÁÞíóݺßL‹ít€ÒåÀ~¤gýècŠßY50{ c‹?ø›5–'„sq“회ǰÛtø7‡´éŪ®ÌÑ£°O¿N¥v¹§¦ †›ÛÝe—¦ÄÅFDêàŒíKUÉÔÂëž?¦ ¸ïpÉG\‘ÀbÌ™óW)у1*6ÍHX@ÙÀý3iþÂ+Küg¥Kë×5§`åâ<ÑQ›ƒ^Û£J')èól™<×=híø*ù&J¬­e·©–|Y[®×…pªW®Zy8ówí”tò\« ¼÷úcž x¬WŠÄ×ø}Öø_•$fvIT²£ûyXÄe¦ÙjŠ c“Éœo€øS¡ùÏ.Íc($O¦TP5Cý%°&ŠúÑ_3¡EÁ®.QâÀ [F&”Ç5úUÖ%t'ˆHgxŽrÈaCŠg~Q œ[€ª@Ú!ô`‘ôÇcÄßivÙØßJ<–§å2ûj·#—Ô¼*†V öž>jIÉ×9€ïõÈ?œ+S­g­|s~a³Bö=,ªäd͈5Ôµè'ûº£ïòz§qpµ¯P\‹b<˜?š¬Þ왞ãâï]A×ÄfF=~§Ùx×´­„Ýcz·[€§“cÀŒªx¤óW•QóL™Ç õ? \„Ü©%]ÉšEGÇ`«í®u OÛ|JµÄß,Gm–5VS.΂ɈùâƒEYù5mMOá6l ‰é¿[mt¨f>õï1ú·°ék¹Â=ZÛDYÈl‹áÌÓ÷*á€cZœº¢†k=} –ÐkF€3j¦þÈ[kêQŸ|‹Ÿmù¤øáSŒàt<ËŒ=QŸ† û: jŒD”LHÖÕŽØC7ùýÓqj”=ü¯¶÷päIª±MÞ&Ò¼ðï,úåGaRTIÌ^Yýݹ3ú{Œ ñÜÕúoÐnî†Âš¨ß‚ÓÔÚ&ÿA›A§xA"ƒY¸™?1¸”˜åC9"oŽ²ÑÜyË¥>´ÇúøqñB¬qÔžóWÅæ<c]s%£eŠL‘D.-Nß`èD0M×VÅN4D,ò÷œgNÈLÙJÓó¢ ‰4O|QšVçªdÇXêžèÁä—I<¾He IÞù¸­ÂnÉy»é¾×2溎‡¤aû·É7¹AŠwnH £”„ÈoÙÂ?yßrÒÍ)ɵk?ló ¯ˆLò¦GÛ>ùg­?„oôʽä7 4Ú¯£AïZ¤Ý»'$1ç=ü‹a›zˆÈå>„f¬G|4üÅÖ™ìz?4´¨œF'ô ÕvâÂRxÐorHÊ:@ÎH m®tm>[逈ëú_Ϥ”™È0ÛUcóWâìhÜ—;ŽHÑNÄýŸØM€-;Î_9í ‘ŸÅÃF"ô.»ç4€IÖ½ÉÜD)/N¥[COY=VºOÞôÔŠßÈ#M··Gm´-_ œÍ£#ejiÐí¹JÔÑìÇ•GzÄkaƒêh[J(qžÄnÓÓk<ëk}«3•¡Ó´©Nû]ÙQuO [K݉sýñ áw´¶‡ûª„˜'‘§óѽétÇÞÐIÑïÍá<Í‹Ë‘È !M¼%¤ƒ¤A¹@sñqµ+]þ«­ôÚ„&$Ò n:ÀÀô¥-Ž\5Ó>JêDh'âˆq+‘. ˆ¦”›k½¬-m+Z¸}‰\«©áJƒ²ô«Á‹¤ËÚ`‰ï¹­m•æéYææóS„KL`¿2•K½òᓯ]#*¯\ dš–üÝã;08 ´˜y'‰}^/að+Þ×(¿[Š-•C]‘Ëú¦~RüÛ¿g§wÄÒ“¨åÑÑô¡µíšßŒiU³ž.`c<¡™Ó¨%­Ö£Þ"¬4g¼- |1\cvX¹ªMÅ’„¢þY<¦"©ø€ÙÈ@k2„üÑÄ»yþ‚2{0 –6 çv½ÿy@¯=¥Ö6¾‚o´…ò£iŠƒb*Û(‘;›²ï^cI^›euÎ7%"ïìúÏNùüé Jƒd?صRÓÏ —#ëº5b¨=Ž#×´Ùï÷´ªÿa‚¿•—z Ñßèyëª|ÈÞ©ržÈe• VŸ}“ª!þOy·{¼÷¤5N$*ø3j X·ïßOÕ0N–»»ÁXû¾\eO~ïlÿä¯#™‡gbi€1+ƒ ß 'šÄ÷ÓÏTÅ‹&÷e]œ$û £YwÊ•CÕÖ*$Wý™£½ùÅå÷bÝLç€Ç—ëµ,|ï„\Öž $ÎÅì%Ö–÷g_Õ .ñÚE}›•oÞ3[ãYe€[„a~F[º¡”>וåÉÄÌ×ñžwAÎýÁñn“]®¼X[jVEõÿAÆqsö¶½›{²ÍK[k®) k½°±¥¯jsz*+ŠeÌå¼1½ £c‰ÊOÿ}'ÕXÊÞ/ƒ´ù4ç®ätN&7½Ÿ5~ldnË&{BDZ€“;ó>hpÔÚ—ŠÒœŽÊ†æÓ<#m?Â,ª‡1Vÿ?$ãEn ¶iïñ;lwöåÐ+©{gÛ gï¬{ ÄšéVÀnÞ͹K¸cqŠe Ø´Þ›=Ùý¡~" ²Ù0ƒiݬdl&(ÙÒ¯Òû¥t€%ú_ílÐC.zM_«§–0ã•ë1®uŒã3Vz[Ì#~ÙÆ&ßoGœ¨y“jpr¯XHxêû‰ÑG= Š¡$ãJûÃà1°çÙµqhN±wT©˜îС†¿$Ù[Ó ÉSã°œ1íµ5G6ìëÙ|b²±¸Ž*ÅYß ¶ÿÍe._ŸÛÁËËäÈpÔËsÕ‹þû ̹I!£bïæý¿A°ÈKrÖSßEKì¿xθ-ÝÌ5‡Síb“NqÇë²GAŽZ4ÓºJ¾¤¿wuP?YúhÔñ©|c$½Ž9ea¼d4 '߸ã"xë2H•x+ýÝ©™Ü™ŽM«Ÿ `ÞC78ÖÃVŽò4x(hSo›9œ€gÒLdt˜$ê3×êr5§¦äîÇžñÜ":=UÏ> ïÊÿ 5Üú²›ELü®‰žØy­Ï 놔¤²Ôl©æÚ bˆ;é^UªF€õô5FŽnhD3d>Oy®tá„€Y«bŠQu¨“µÙ >Mhз M‘?DAATL8Ì2™wŠeÍÐù]¸PGgê™ÁÆß`R€S]fÊéßâÝ—<>MÝÃ¥½ÆM¶Ôhä+’–:»qâHÓæ¹6ÿÍ-¦ãì”È<àÒ^EÜ}qðeæÃ9ˆÏEjSGÚÒj —5ïÁ…@F.Qÿ"ð°G}ŒâÔ#Û»íc:wÜ\*œ —¯}V&G¶Ë™/.'DrÐIÙ^÷nv,ï ë1ý·À¾Ñ÷H]‰œ}XM~šgo ú;‘ºhbùƒ^>gæÊ4›Y‡™KRÇ-lfw#qÑWw‘5-Ž‘AÇÛ4Åå•ôr½Àí?µÅ‘úèO’=N\©‹Uc bÕ\y Ä€!v¬ÛÓÌb~Ñß *^ê¤ã^èˆGjR'OhGº‘b5Hf:MIÔ¥’é™tu¢rfPË@Ÿ†or‡8 å÷,2@'ô×3Û‰ØWwKR¡'ÈÞfdŸF\øH‘!LÐ(Ì~ÀdÞÄmⵈä_öa[ÎÁÝ5’ø<ÞV¼¨éYÊ¡ÓŒM>4S§ Çéû “ ÐvèIºÁåŽñ²FjKÜ©žväWväÍÇœó±ë|±%7+‚Än×Bª¯Y–¯r¾»Ãke’HàI0LÎhß&±â… EòÜ]êIŒ² wyŸ •Ã]%à\é;!WsKç/Šè7êW™`¾ Œ÷µ! káï¦u–›u´¹øšØ#˜Y[, ×yl L0"7ˆÅåaлZÕ'ª`4×ô<úÂÎû+úÀX4‘†yˆh©Og>uÁ0y!šR¤NøWJþ9S e‡¯ˆ2Ÿ‹”ôÒÐŒ£=—´½·a¡¯a¹T½€b4vLÇ  né´ùáS 8c³ªD¦O JŒ•«‘ڋ椵¨ Øq¼#;3Io-mÛØfjÝ*ÌÅj軥‹Èc¾FwØ7-â‹Ìðiuèš9P‡â fOŠïã@U½ë+D9RKd´O®¶­ —%¼}5­¥Jë2èc"þ¦BÔ=ß>îÝ ézËbZ3à% Å)…´n—¹Œ55ø½Øã–Ÿ²ž·/êßìh’!±„@áâ¨{fômHO³`ŠS¥^¡oì9浪{ÏÎJö^õ´†µZ; /¾d`9jú¼``¹L÷ú¼•Òîè,öoöÌÁj}ÞïÛ®M)€ep6~trŒÊoáS±[¥ª7çù¢¤‡‚DÛþ£Y(ôÁ¶CUG›ÄYß0l\õ#À|aS‘¢ÈøTQO|蔟p¥üô%8î2âñÛª3S¢œNzDh0þTƒ;±uƒ5½œ†ù)´ª}1\çñÚ•Æ:´8!æRVó¹ÅDþ@/*=[>¥£b®Reäî£Î]v'¿ºãdÄ@}ŒâS‰*§þYÕÀ pú n8¥CW »tçÔZ+´±Ïà‹XÀ‚µi±ÙÀ1P!ȺŒu7ÒT£ƒQ#£oÏf܈ݒX§a~&[.pU‘Eìó° _!ê 6ûn:!ía ÆkÕ eÉŒh†^Óñc‡ò§th[zƒ±MUùvíÆ®E|rT#²èGÉ:.TIâ\}ê†qX@¯¦Ø­3{¬é4ˆéÙt*€,TqÄŸRU<–«ÍF[ÉÌ¡Š_ç2“H7µ›Ú(¶Ý™U]Œi›ý‹3Å\Õ§‚ZÐTx^ëf(ªpƒ\[Ѩ)P×&9¡ŸØiKªOrßh9ÛlvÊA½¥¦¤B[ŠŠát¿’”2Ò¢ 7LKös"‡ñ¹ïq‡Ô# êO}‡g5À­·’Ž&Óec„HkËT€DJãM+Ì%“xFÍM´«¡_v 0ì%.â¹° ¸YÁABa çÏ&’ÌT¥;Î)‰“¶®™ÌĶ^Î0‹J‘áé™yzÌeOÕ¸Ò}w§%‚ÞöLÃÈ!Q¤¼™D¶cúÿE­O*Þj@“Ó\†1óU`î*¶ê;»yÑ‘ “Q<¬o3ŸU¨×Ú”†_ˆ|°EÃÔ õº¬‘a²½Ž}¤€œì3;åjÚiiHè‡w¾ƒ d¸¥´CÏf\!<>¿é‡ôÂ|úT~@ñ_À¬¬Q7@Ó¤,o»]1À©Þ\6ë,$V‘ÿnGG¬ÿT 4mdq fíè@lYB á>”ŠMËp6cdþ´xgv”B§ú€ÐU†û:heÉ,{¹ž•1$¢V#-Žûê9êi3ŠÎ× ¢(qE²vM:H[Ç kemºwµñ>å1Ñ‚¤=ï¹MÖTzZ5òçérx*Rˆ:qýú×P&…Vɪ*Ië¡Òâ©·»ðê°+Þž¦B]’T–à ¢é“ 8S»j¡¼½ËŸÅ!-vã@·¤¹z,N|f[v[7ÆÞéS6‡íñJ×dA#m~­†q1pE,ú|†))´ê*_o®à€ßXýã 3N¬!‰dó´y%œ‡ ¸ Ûéê4<áû ›{ß'87¢ÙD´ØÆiÊ‘ÐQ‹á°å†@`¾ÉRïH#¬Ni%’ŒwùïÁ¬ƒÐ4fÙLí²03Ú%ñ …Me釕v¥%…l}ƒø´+äjw‰•MK G½gôóƒKªÕR ˜ê†ÂÝ@œ…Ø빩hÝ4rB×óƛŠ‡¾Ö­xsž òh¢ÓªƒÐ’p£ C'P°{½ #lq @¯ki™¤ž4“bàKe¤¾6 ÄéÌ.GEû+¾Ži+h¸T35´KÓD¯#¼Ë!$Ö ÐÛ ×ÜY0‘• :ñà6ð›%°s”v`dZwm”ýIªoíš¿iÀTê¦Ð혶u6í¦¯È-¸Äå‹·»‰C]h—6mi4ÜŽ¦6­³‚Ä¥Jy×ìX%u!înÿ¼Ëøª(gQÍ þ)ë_cƒ8ø»‰•6¾Æ/HY&1Î}‹Ö¤íÚ™TÙè[.`¨ô$Îúð'tËÚõ³LhÉ-áÚj~Ô>À©‰ö¥ÝHöšD»Â)õ€Ž¿cS øÆ/w!€&DEÈwí©¯5GÕ a&ÏÓ6"ó juŒÊR œ‡¦@—t¼‰S:€ zµ£EÓ©jãàßòדE5­7‰,äËâ§AŠz£ëc½@ì؞Ǝñ*™ŽÐítóqÐf®‚¸÷æIáÿƒQµò‡tµÐ"}¼+YÈ]án»ÎtÚQ°»ÑÿTŠ·{Òg=æ¢òHÔ\,QOeŸ„gL²ELnÑ‘ÆÉ«VlBµZ›eñZý¬©QŽ„Z§1Cÿ—Y¤Ãj}Á¸î>ÍcΖãøsS]²º‡öa‚¦7KUBú¸ø*N=#q”ô/TƒÍ­ûˆC§µÔ¤©kD[BXÁnO¢GšPô©Œ³‚ǘr:‰u`ÐG æÑP&N 7ºFÆ+]{f8ùƒà5SŽä÷…òDÊBgAtšB-êî±äÏ€nRm–‹á ˆéH®á©>짤ZŸ«}m8þ½7èªð~€‡á„0Q5#®±+îÏL_.ÞF%WXl"¤7 ÇL^@cŒ¡54[ìÐŽ–¥KVŽÚŽÒƒ #XÂ;Ž‹ gºJ"ÒÏš§Å&rÊjÒ4g‰{”©P üÅSÔPœÙ“ä%å?~j¦Ë2óסCÖž®æß ¾ ¤ÓâÙò¨×i«³2TüÃ…iÛJD=Ö6Y›Ð`Îå†L2ÉðÔ N0<0|’¾žëò8L«§…*Žõ©NRGœ2$¾Jvº@·šƒÃþ=èŒPèNÐY:*©´úHà òÂœ H«À IuÊQ!ý‡.ô±Èègâp¢g$kÌò×9¢óq\«#ìÄL_µ½^/P®W–Î Ô¦riiF/ӭܸXP÷">À9hü´ uÙM`°˜•)pÍÌL—í±˜u®LpdÞ÷Ý‘ÀˆCRÙ¦ºl Oý,Wt58@{GÎvʦÇ.ÔÂs—B8@Y¯ÝXL•¥´"ÖË9Mr,l±§.“Ùëâ®Oå`Ú$×^}º 3ë׸hN[N„ÒMiOèx|ʽC»qhS Þ3hyª¢þ~i·áBQþ?³8ȦPÒ:ìZb6ŽÃÉìJœ!mXÅ»eªÏó¨b‡¯IüO ¿gz9²Ó$zR_I²@8q]wØ[{ú˜¨ÂI‡ÍÖ›ÄBt+)…½›å†:0ôýs"ŸÆ›Ã;‹œ…À4X La}SKò}²W3½M;Ây+MŠæ½ mm¦€Šgµ'ÚÙÀ"'õEÒ+<˜ú½b+–¿ºÆ,ûBíI“ñÂÉÑ"·NÕ”Zyb¦HXÇ Š¢¦µr°TŒ5˜u¬¡²TÕ/q-¡nB.1¤øÓá’œpaw‰À ,óîîÒÖÉA]†ˆé%+,-ŒSðXÐQàÄï¦ì·™¢²Ö…]Úˆª‹_ A˜Î_°¿:ÝH¢`YÄÀµ}šµs$²1,!ôÄ,~±dÏ{¦†ïÙ±îí.ëWÆÖcšYzJ*^èV +%ýQ! 35CÑvœËšD¬‘™…hkñÖ1:?.çU²àß c‡LÂE‰$Æ8ºü3ÛóúÿDFjŸ'ÖÔNt=Êó²MVÛÏwéMŸÕqaÔ)2ZI̓I;‚Uï=Úq—wö=Ÿ ´ô1p`9äTî(>Ø{„cˆë\·JxñÂÐΊ(^ÛÛ8œ¨9’—m|þÅÞ“ûñßÃ;ì=Ù|R<ƒÉ6ìƒW™´¦xéYfl=Ù ÚÎ&ä¡jþ×%£èÒê(CHã=f¼£C »Ã–3 Ö9n!A_/3å½µ%m×¢”'Ÿ!iøÎýœÿB\+ªù…uù%sþ«»ú—½'/ž¼òšh{OD3áiñN“ ÇKæP-ýL«h^§lÓÂn…«7OþëIâ¾ò.\ÝÞûãSd¾‘\Âpú¨Y# Ø~µ÷l'ŽÜVñÇïaÙæûV“¼¶w¸õö­9rÊÞ×jþŸñÑt¼¨Y·(kH²0GVEÛebŽaUµÂásžxÈ*Vé+£ymI_lH„+#…Íê,ñ–¸ÕäSêÞ°Pî#Iª)1û.ˆ-g8\ Òõª–“¼Óm†Xãavioèe^Ôƒ8œ¿ñTCÃdn1å2z•>­Ô’ ¤-lr¥¦¨©\ì¹aªhCã4dcqCSˆ¾ ÅO•˜¶#ô'(EêÖéžÿú§4˜Ü™šô´‘¯G2̤­q" ô!C½t8±ÆÚ&çt`Ôj¡QcƒÞT`‡ûq¤»°Õ^ê辸UX-7:êápâ=K¾û[ú´Dìý´ØˆÐêŽ ,ò­pº<êˆpMt@]Pöë'ãªÂóÜ&ãÎï×7g S \ ïÜa+¦ÝïÖý T ƒbVßíÚ³Ý}¸&‰ášlàk÷Æ œd¼‘¨´oÓT#¾²‰µ¸R7#;õ:aršç<HO‘” ~¯R†€èoD:ý·/¡ž1åÌ)ºÍ§KñBR"N(lÐ ‹þKj—0ó¯ïaG$q¨˜¡–bg¿YC„ïîÉ ÄÎ0'ITwpª±’¼6D{b—òÙwz¦Æ#8Ô"ëFd b7Í*¯tD¤MŒ½2癇˜÷ØüZGâc­£Ã0|Ň‘ÓXê#aN¶¹P?÷¢úó¹ ¼€¿‹Í…æžöÌ£ ˆž€v’ÄøkLB3t&ú^³PÃã¶çLؽTj”ÐÂô ÷¼Ê>@"ôПÒô+ ê¥êa¬$þ74è*<«ªÎsrçó–Òå/ RÔì/1ñI–™³¦/r\½ëL|éSp|AŠô«™ ¸+CþÏæ450hÌãgìÓôù:X9•Hâß¿¢-uÓ_Q`Tc! úw{eG&úlo  ¡8Ñ$ðÄ?3û5JÂ,²QüõÄx<’CHÕà ëÞÒ¿u½û×XÍÏÎ0k{(`ÉIÅ2mÂk¼áÉ —d7yªÖYæí¤‚’þ•òÊ‚y¦íew¡ctÚ#¤Lz&ì«á€¤NθÝ?%oš½IÚ×ü¤{Û U>ÔpnäËà @«ÜÅwúÈ5ùWôŒCüä]ý¼‡ô¼£$3û;d°!¨à´<Η\ăC>K‡&NK(È@m”tšœ·3îËr™;ÖïdìC”íû§Õ²øŽ’IþZŸæøWøY XˆYbáMÏc¤Ž™®5«²Î­»ÄÜÊÊ~ÀÂIœý(%š¯Àdü=—MÅ»sŸÃ4³÷¿Ýkàrœókû=ªÎgßj€Ï&½ÍSûpŠWUžþá¾ü ID¨Í·º%ulW§iù ;iL2‹›¢œÕ¶‡þÇ[_ÅÏdïvYO.Æs)Dê–D4¹¨¦‰ÝG3»˜ïrX׋þA„óÆûÓ¬OЋ‰º’—ÑhÆ‘d:Û<~Â+N¦÷"Ÿê׺"²•ðâoJúvÍFÅ­&ûÑžšæ³ËäŒzœ«ï5Ș‘Ñ_í7ƒv’WÊÕžøÂÔ‰«’.§ßuÉðùâM6ž–¥¹:4žL§Qu†É<¶ô]a*Ì'C‡ZA2Å|µÃSÔ“½“èÜ3['+¿c8úZ•ð‡ûc6ßt¹”0ÓéôPŽÄÀÔhÈ÷¸qÑýWž ƒ”eË'ÐDÄ¡å#e*ϵ+‰Ò¬ôy A» 8¤Ž W4õ0é“y£Fñ‚ή§eu¼_í©ÐW’Q—ñiñ–&LñÓÜ; žÓôãÒöé%ÆŠ£ŠÄ/‘¯qH":\œ(¬ì@Š©JÜ0ßCÎeÜwz—Ôí±« ƒ5Í )Gì³xîNÔ4¯Ö ’|ê`{êLÀ ½RYL¡WÚˆ™BhŠQ'—®K¡Z›Jm(Q­–(±†1o6(¥™¿¦&€ðP>;eø©À ¿94*ºF@›A$Õ¾F ’ E —K¾ÝéÆ{ŽXîÄÆ› ˆ 4nÝz¬t¸«F\{¨˜8ç±1`‰ cÎÀ A"1¼‘Øl§¨sÜš¡ª4äS=°J¬×©¦´! ÷Fò%ð¨S— åô¡43Mži3YŠ9Zbó=²$é¥L%Ûé+•ÞuU Ü„V|p…57ãd¸åqÝ"ÒŸÀ/Sxõ Å&ÐXq]C[ÏIŽÛ{¦êøöŸ ÕHþ}'v.,€õ”\–Jñ^ª~•Ð.÷ú‘Á #³gp… ìÔí™”hôpI“f%1gâùð2Ð|®,-ç³\J „iüJ¢¾‘.ÿÛ‰N²¯!13³SÞlæž@÷AkÚRG+÷|\üñûï9.6w!5ÈÕ¦eÆ¡2ø“1,…£ô«þ¦6®§EÆDÛ£ ʤOŸe ôÖ´Ñ®k À±YµR\GÈ5‡X§0FÚ. †|W¼Ò)¯“iû ÁäKPŒ˜i¸âú²êÖO­IœéǦža~2‰k+nJ?2ÁkÃPn{zVÄœž¡/cÛAƾ›³6õ8¯¾õw\÷ ªq½ì¹¯=«mЯºR šh=«95z–d‚+aÁth¥‡ˆ ÎæäÏDÀoK+nØ7ÀÝðüÒ´§S8å{R"óìI±c«ïöÌš݃¾êzCÕ)oª‡œ*‘ÿ®¶j4ì½îUÏrG$Ù5½p ϘÕzžFèz$ Qm_¹Ñ£&¼çôO^¿æœ§O’‰êz Ðª¯òziç+9(¯’TZDzÛt–ÞC ä–øíåЦé[AÂfþ¬Žá 1k~ñiF0T.%!V|‹óÍ¢nå~¯¨Ï™Ž»Ì>Ás¹ÔõêðÉ—Z¥Üï(ËÆ[0õ)‰è®Y]Œ¡É–i†vuG¶-Oòªá3>ŠkNG‰Y.Wmhx`gsmLÿ¬ð zÆ:P¶×·°‚Î>Æ5¯C:óAõ“™ýb6¨UïÛv´ÕOøùÆ?üKä««âÅǨŒÝŒöKvU׳9ø²_9ûO.YùaJo3¯mzE´Z}ÿ—öc[[ŽxæêŠÐÊ~:½¬-êÛô½OÿmŽŸÊ/—fæZ[«¿ .ÕÕqz¥šy¶ðcñ·ÕýóÕþZb}Pk>s¯§ñ)÷®W÷žà}à„Ó~™‰«¡,r}Q í{.®"Þíj—_#T¦§Cû.ç]kÙïòÜì8(ÄÐâö?KÇÜ· ³fÔ8•¤7Ô—:ŽËÆò~ ’ÈÑ È{ú({+?´¯¸ÏU»æ¦.ʺÒQëZMVß Õé ˜éu?Únʵ[-WºÕýø0+Õþƒ9ØíSF¡B¦]{ê“ò³´ ‰Ü×K€™fõQ¹Ü‹°«o¼§ÕÑjçWÓ­ýü¦î­Ö¼Yôõ«¤¨]ôÃÖÛ*²}(\\©½øMG¬‘¼p´yÉnŠ5ÕSÃcëf’{»ü ÷O²õÔóµrmï5™Ô³½5íêüíÌ!ÓG¯x‰åߺtùÍRÍlöì·µ€ŽõÏ~ëÚR¬ý*ýj £æê?ÄðÃp ÆkÞÖ=õý*yµ7 ðA« ýÀ !°#ÊïdÍ“5ˆŽe+ìÚ£¯m¾¦[¶iÖ|ʃޛùÕEêõÈ óïp)pf«Ôw½CÖ¿Ã;MÚ^WZoµCïT¸zF¾Ó€d§­VȼkÚ5sínlÝf#éI«ŸïvUOH÷GÕ;Q)#Ö¼[z%RsO㹎ž½„Ò=êÑêW`„âŸækÞ —1¼Œ)j½„ëÕÝ¢G|ˆŒéËGGî¾ô¡:RµYíΡBÍ^³:‡C]åsâPÓÄbÕr{{uˆÜu¬y«áïYÝh063×^ý€‡½ãº£šñó°ä²„««µë=ö­5Û——ƒQmô½âƒÎ—չРÚ0V)·ÛR÷cpãÍÀ­°®[›È.Z]*™Âx_BÜÄk5›·¢ h²f ¬xSÂSæs餤u·XO¯ÚÖÚÕὦþ±²åõªe«_ûVpÙl³Ò†£`m_•zº–‡ê„äïáĬE“øòWǺ/¶z•Šc9¼åí’E…Ÿ>Ÿ“FkFa9´vÜùþ”¥™®2~ªÌÐÖýbü {Å Ö" ¦oië~`—kO´}},Ëötud>¨\àñ2ð=2ÞSµë&Â*Ýo\5%JAÙ^þ!Õ¾ kú¶–ú—Þ¶q¥£–e~özùæà‹jÜWïÞ~Ý<áh³žØúw\ 'Ú”™v-°ZŽÐ%ăŒS:TB[˜Ü¯y+kã†C’D1ZÉ}ŽÑwræÊIžulËŽSÇîIÎKü Åiuà -ÎЮ®ÕXÔv<¼ØD˜{óŸŸü\–ÕH\Ý°¡ãô:™mÁ ÏLS‰jÙ Él'Ω#Š"‰¡ŠÑ‰/Ε ´õé²£t ¡á1²>U:S†Û,æP‹HæN,ýB ·ÃI*_}ž¯- EÁÿ}µ9UKgàEIÃ"j‰ù’é±Zò-æ¼üYÙ+ôq¹/i§Ð\(X˜,ý_i[Ã/9ïíÅ<—­,η«ÊÝõ¤‹Òô1ÿëX‹Z2"L„Xo«<ñ,S¡NdÍúúÅyO•2ƒ¯Ÿu­†©ÊÔ9&~P V_Å„ŽZK;˜/`tdJÛ&ü¯×µ«z W}hD;€µº2w˜z¯S¦ýÏÌ–ÀEOû³ã|qÑAP}¦ä{˜Ötñ×äÕÀýP/­´MLqÇ ×fËŽôÏž´A$yWl À:}Ê•lO@¥9QgnO9v…–º—žçŠÆC‹1w#:!M%{O­G)ù‘>8i¢n6£oI/À§X4­m>äšGü\×™ó¸x^r, _¥r€~£(8Æ;Ⳉ•Špúk±' tœWщºŽv)ÑjµXfu»F ×‹¥›hÇ:°¤ýöM`W"ûÐȼ‘D‡¸µg˜ÞJ¥¿†ÄLò â8õ:^›‡4'í®¯l? Ûó&°Á¥ÔM•kŠVOZ¥­-Wº¢u¥™;ÒÕ ¦ï€Tòßióµ©FÑñ]F¯ñ]¾(ž#‘Ì}DU`¹.~ÀO«c,ßAÎcìg"Šë"“JÐ^FgIÑÙ­jŽ5ŽŸ•ÖÓnvܦØw°ñÀ唉—_¢‘ÑD®¸¬š·=÷­øÉZâÍ@ìÌÙÆLî`_ª´'užxYyHcNß±él'B -E¡Ó«‚•MÉ@í¬RHW‘A–¢ ·à ¾²‘]ï?áKŸØºÑê'R ’_ è¥Ïá…Î\ƒ{B-Ô“âí5nšaa‹G[§FH˜yÄ%ÉU±o†S£OÌðT%ˆu¢‡§2R–ß¾£þ€3çv£ûziÇÌ*Äê'œ@ž ÃIßtæ9{=='Þï Vý.\ L¦‚íÚg"o|´¯R—¸bs¯Ø¦]‰©½z’äR’|N*h'á ¿€—‚$Ê.\ôùr@ý ײ–ý¡û4§FÊ-¦Ðf­F~Xv”¦ÐñÎ]iä¡ž ÆåÀÀI˜I_'Kÿè´÷ž,WÜ¢!@ÐÚ,.À²Øni4NÄ–)²Zò¯MÏYòž+32–(¶åÈ+LûŠÂÛˆô…¥Hc¥3úT!·‚¡ Þ#V±!P_1Û Cé)T¡…܉ˆâ2ŠÍ#œA)&ç,˜´Bø|oЄwkOsˆ¯+¨‘ãW{:Ü“pé[t™(’tÃGþÒ‹˜qòðUÚ4£ÝpÃs¼wk«Æ˜Å-Û_>j¸TZ~ Ð8ê7Ÿ½ß}ìxî¾øH³”:ëê¥Lö—V¯Øz-ÿÛÄ»æF›éƒ„fô[Sçá››‹d£P*ʈkÝì)9ºs¶ôˆVNðR™hLº’EtÐyÚë9ÀëIŠjÄOêŠÏ©®ÒÑséáç½Kîõžv¸þWñ(Ü' mú1•xB'2Lt?ä…÷h<ëlnDüªuÏŠÑñvHÇÕÞÌÐÜÉÈ`2£[×qQþ®£#9÷©O†ô«­¡st_5’”´A»Ã}*«Ø_ :U€ÐÀ>¥Gý1%Æ£³(JŠa"„V%U‚qé~´í9ðwÿ¨ãpÝÑt VËÉŠ ôÿl`†d£ÛžðE”_TÊØ&bã­!LŽQØ(l¨mGÓ†¨Pv°D¼lyƒ®†6{!R¾’æokø¿MÒª:ÎÚ{#lS¤h[Ç“êb "¹ZÌè-+š‡¨$¾qj£üM*¸Ì!ÞÏH oðD þµoň“SWŸÂ‡B‡@îÇvJWã–Í åí]õdò1ⱈ$Ɖ”‘u0%@¾Ý\Õf(´ï€+mÏ„Ê2"ë’æ݈Ópù!µ™¢—[êÓQ ÈÔ##rƒ5J®Æ¤×™â„Æ% ÒK „±Þhœv\ó+½„†×Èö4×3L×M˜MtéÍÒ™ŠV¾ R)^I»®õ3ês£ä`%0‡è ˆ[7ïÁbûíôFdêQ? æóöÜxœr†ýÍÞy=UÚãS¹f¾— $DТ#Fi Î05A³ŸÇõrã°aÑ4VCŸÑ[&´ A>À ç=Yöý{ÒÓ L~GËd„Jؾ[3lˆr@]°UOž¤Ÿ¥ú]¸*I:7ú¨ÉißbœXG{¡HSéµ{ŸÃÖ€Fï3á™ÿ”S!¥rN·Ï©ü.o|!4ÞÒ©dÑRÈôÅÒgyTÓg=À&Þ Šmž©1BØöÙÑë›LÔXµŒ´-ï‰&À® ¯óYýO¢ì©Är¬m‡pÿÞîŸ#*l]#ùL;/Q=QO?Ñâ¹]Ú®ë§ZÔ,ã¾[ª^|Vl±eÔ ìÅ?'¦¥=Û´úw¡jš)®^ñ ů€áJ2H>ö⾪Íé)}nè”ý3<´ÑÔGx}b8ct?àw«O|e°ª%ÒMÇÙë^OM<ÖMéÖüzOÃqó jÒòS¿îŠß“,Ú÷ìÌæ%[,K5)ž—ªþÔK¾1<‘iO®{ø;©Ñ;ujëZ;"µ’aÇ=°&^ãýÞÎy·bæ >ˆqÝìýmjyâßi7FÂÿ/uöÇq¤£:Ç–ÄwŠZŠ²-È‚–¼‡¿‹ïî‰ Ñö]vw¢;ÑÕ•­Zlüõ'ÞÈ-²”ìó›óŒ‡BEdWeeåë´úX“o~¦-Bƃ¬ÏMOú–mŸ•¬§=Q•Íš}™7Û!éÄ)ðõÞêz¿UÓ®~rö’u³ˆT?gí!È›s_$õž~0]²;p”#Ýíµ¢Ñ3­À}»óßÑéxb#åÇE=ÏCSö¦*4šDôA’Ưfhœ=Õ•œÀ‰?”ëõwˆ€a²–yE¢™ÔE˜ç²ªÞMR†¦)MJ´aÀV„á6Bª9ÏlAø*.@\sÀ™–‘òÊu;¤­Yæb™5®»\($-²~[}•µjð¹Š^Úµ>ÐÌЩó7“B³ú šÝ”ÍžVZõú3!™³&ÎBð)¤=µÉµ:8¡Ý¿ÔÉ¡Ç>l„•á䤸•sr«áœ™#Ê0Ë ? v[»¥H 6¤=)Œeè"¤ÀEÇ—ˆˆØ l5~ìBüÃ3]úK²†èqSlÎUŒ+z|bë®QEŽóÅ9³Pd‡'f‡Ól+çw(ŠE媑3ö×Ô,¬Š?àïâ)ÉÎÓQ œL€DïÚű£øf–?Oʃa°ÙÜG…ZÌfªÊ.ÌÚ ¨kò.àÈ2§â~%°•¦‰ÞID:v”‹²Û “¦ìK¥• âÁAÔ‚|xÏQJ (¯+.;¨v~FÒò4uJšP{˜ùÎ]øQ”[§¦JU>hŠLaÁÓ\Èõ™aH¤JŠµ³ûÖ"@ÄÇ …Íð&_sà«”È;x›hh…x‹ÒäOP%õ$N”虦†õµc=¯¡ï¯á²ÐI(—hy`ü¦Ó¿½Ç"®zaM‰eëTàL_êBv“3²âÕM­®bß;²×’'–~V+z>™˜r„âNªŒ ç ›ÃÁLz]Tqi6Wbn2ö©Û$9¥éÁÄŠg#S7ž¿ÕJrœ™Ý`ï©ô0ÈÇÞaBAüD“]EƒÌ§îJlç\2¼oŽŽôƒ~L°§{¯ûAýw=Ë“!že) ÞwôœÄ ¸h=·4ÿãP‘f17ú¸,‡$(é)×pÕé4÷æSñç(T4·µ Ã~0§O(8“6¿92wË–@ljñÅéá\˜e8éFvP:œ$ ,}°ykh£.ì Œ& z$,«Âq8‘M€D … QØâ,²*y½¾p,¼4ØîÕ—x'œ¤´ðš`ñZu«î’ìã.£ÝØÜxnéi,àT4SìõW˜ÆÙò"0ç¨$d<]ôsϦ_õô€Œ’v#A‰ë¨B'“B„h]‰l+Ó6ÉuOÛкž9ôË”{ ÛíB{®ˆpÕmˆýÚ¶©ý'L·ò¦/Lÿ¦çA~‰ä4lž†í÷žÆÉßðç9EÓ›Œ }„4ïôÅ/úˆ¼‡Ï@ÚÕ.Åô´õiúÒIмî[pHs‘ ”}ŽÒ /5Üõ%-Ù—ì[.z5| Þ`ÿ©Šõ-lÛÎÄõÄ,mçÁ`ò-ã 3C lÈïjŨÝÓ¹iÕȸ$Äp3ŒéP,߯缺Rª« ¿PuÝ{7w”AM†ˆ³©×ÙÕúê‘Îô`µù!œ:z7·€A9í 2QߨVâ»'ò"Vﺩþ#r¶I f.04ø[{íu)£ÚR‹ª¡4d€îäúOÛöY¨ƒÆÆä¼ë̱­×YÂ]]pôýz¶–(n&„÷üÜ1àa‚‰˜öÞ!{ÝÖJÚ@¸ ëKb}!è ²Á8Ùtâ'ý\6*цq–öì\Çüá/}TŠMÊ>}Ó1¶Á:”Y™ÂªT¥j7ËÀŽÿÌpøóÑ<¬—ÙëÜqdlÀÓe–É\Ÿ¸ªb ¡Ès¡^ 4ùQȸì©;pn¨ÞÏߘê¸O{[LÛ»å^W#P|Pc¢VïQ‡€¾iûDéíDÚÛæ"ÌEã ôÈ>›ü—Þ[ÈCê,¿üoKAÇB3¤ó~Iײ±#~ó2vxbÒD>É„æÅù%ÄmulˆO9el³wcN .G›øŸgü*`ÎeïQÈ6aî“òëB½²ø‰Ö¡¾¬ZÎì_.ô‘¡ ôé¤Ò 1Nž#°Æï&êá„äz÷…ï¼&øu'^ùâjšô¤ÿv$Rï«sˆWfîõƒÒл,¸Êúw”Êô5GÞhC‚͇…•–õFh›=ðO7券KWOökývhðƶ¾‘Ø.o®ÿÞRÎt–ü¦Í?ÛD€a4Ôùçi0Ò›±pòo•ä¡]‹>ÒÞ§Ó2›¿/šŠ)&kð3 ”¥…ì“å ÆåÓÓì=1¤®OqÊP²òg‰)>ÑÇùYÊgŽÂÚŒPt‹f†é[mIÚYKlKÕ¢veâ]‚ŒšÔ›Ó6–wä€ ½-£ \k ¨ämÕôè»=sç‡è·ÝNÌ”Uݳ‘2“s«ìùkžµB9’QŠÐá\"™²jµÖÊ{‡üKwy†ÀWŽQÑŸàãÐÒ}mªÀ'åsH%A‚ðqŽ2Zi Z˜eÓÆt€OAZèpPÑ7\(Æe)4±él[ˆÛ.P!$ú©¿¡b#«^Ô¶;Á÷~cŽYT ¿2´úDˆgp„¦xñã“<œN ‰Ûó S РZX «-’uúÓÿ×f­˜$ܧ‰…²h381ˆ%€grʘ^P=÷±ãîv3:F~õ¿:CÌŸ=*‚qL)>ûì8HåýC¯‘³ã<¹¸h /1d€çii1¼í9¥ÂFSõvÉ5Ç-áÐ6ß>—ÞÕSuzœ n9²€{-å-‹ÔE™´«bU²Ï@ç«e©=ŸiÙÂÞóTD)BsyV"ÅiŸÂ>Œ²•ŽÛÈì„™×Ĉé ïL$ ¸Y'z 3nú”{;Fq(=c:)\aŠSj"ðÍØv×ÛftǩОǨ˜Â9s70N'OaGQD or üu†û]ÚÐ4Ì«ˆ¢rz Ü9Û(QFÝL•†wB5 à&YvÅ¿&]ñO;Œ¶âû®ÑXS€ÀË~m±4Å8m}Üü’Ñ+å[¡:8¿–¨ÿý •Í,ÜR†k­¥ðœoWÅûÅ´ñ¤“ŽN%®O®Ó70$Q]„þf˜z[‰iÏNå‡ð!Šu‰7ª›õ•ú]Wv ©ËáõŸU'áz$‘?­N³™¯Š™þá¦#<,èD]`#JÄßu<çÜRãÉHõb<ÿ±óõÎô¤]t-舖¢/<Éû4wm=*^!6:qB#“õê¦]ŽV1[Z\¾•£R[•öh-ºWúEO«Èÿb’;ɳ#šü0Ž¢yªM…ì>u´eþÃ%â¥T“òÛ<•-S™'¾Ð¾òf ³_«qèÝýû Dñ£ø.ÂTΔ„Q3ѬWvvdDø.†]™RUn€ìêÿ=¼‰Ûâ7;$ÂùUq•­aÉ’pM×f®:i2w¼oÝ@yÓ€­í¬ µÉ?7¤« ÁeB;øk#r1AnPÑ.îƒ× š|ú5A'½ÁFÇõnþ!:}á¡°$Ò7 Å›]­JÂ8\Šœ%è’B³hþ ‰…óR%9Û8+ª3ˆl‘kà`Sd×úPD×=(~DB+ä 7mQw3FEI±méi- EU?s—²Y$€CúÚjOZ|¡Å´F&nå““ãšù8øZ‡D_%aí ×n?ïòvGD­Ä6íûò2ºkéôpOÓ²»[ŒjšSÛðÒìÙNS àrú‘Ga¬«¬ 4ìªr¥©¿ÿî»ïÐÄ؆ïtŽ¥n_óu…aY*ô¶h×zÛp`lzÃÜ(i(6`E‚ r!ë/Í;4D"îË >ÍN—LŽ4@`§æ@æšÑr»±Ñ¯øõÆV¹dî©9VãQ1b£î»Ze)¿†LCÉp©>\ò<[š2ïØŒ$Ç6{ Ô¯)Ëìá¾-m2ÝL|ÖÞ“¶èf,%¼Óe+ƒ«Ñ¡#š@êR?Q?CœÝúèX¬Ä %‚ï“ÁÀe|djÔ%Ëä¡ø÷í®h¹,ž¹Ü€C ±Åéç¹xÝ@MOY‘ã>9̦í«ö7°É-æbA¬!Ö—x÷ÔߘLñ¡¿Ï±?åûï¾OSôH»PœÇ(ðfF¦™eØjÁÞñ×ò§ŽСÛUZôí_(MÒå¥hjLr¼™‹ž)âî b¢8pƒ~˜N¾›½&Ïlâ}&y°MmV\­®uÑâ Ÿ'â"ÚvÇ0ïèýS ñGÌz '¤Vs¤oÁ oM©pFÒ˜Oßϱ,ħr¿b§“'þ!- XÛšÓ,\láãr 3˜¨ýŠ_°1ä¥ð€™®øùŸ?/`g]¯‡7K%ZÝ»:M6òtâWSqéP5¨K# >^gz0JöZÎI»üo#¡3,rd2RCJy%§3ÚîiHþz¥âÑçý¶ÿœ+ÅfCïÚ Ú•ŠhjŽ«Ø‰á ¿‹m€ä’ë[<§¹Dûìøì^ÇÆ \>ãÆ/T5@†®ú7>£ñ«n4FL7ªnöÁWï>¡Vœ•Vüvµé¾m<ô-’{ÆÊ«®=*ÿ½iün’(Fëš èÕ@ç;Ï>Öá~Š2¹‰Š]ºÒŽ 2t>û"ÁRVüóîà­:Õp¸ˆÛjaFÅs•‡ GöÓàrþeû`DžŒª,ïnà¼2aÛ¦Vgþ’aì{š—ã˜JšÏµíòZ‘÷‡ÄŽ1Ž8FŒêa û&¨>;¶]$þT ó3”VBv9Še¯´KÀÝC¬ÐInËFgÀÅý÷žãÒò¥}¬å‰xÙfoÎû ÆŸ(Ï8YZÚµÄx& ÓâVÏœÅZœŠóBW"Ë/’wM×¹œÈ‡¢¼L$²#riEÝgžµIã‘pÎ$·ºY“‚nyþ#‰¨'Fé š(„u¯k±»ž…VI´Š3aLBÿèCþ4Œº ï¡Îß?w÷uîA3vE\·Ë|Å|*ÎÃâ9=%Aj6¡¿†pÉô}†)š”@'ÌQ{Æßxl+ò¶Î»ëôÄõ{¬8Æj© XnH0>QãbfQË ðFiÆÀ×¹9éÁ´\uôg°#‹¾úæ8åU)*è\ôô¶øAìhŒK„È á!q®UÔWzÆå©{ËÕ9^»¼ᚣÿ0qÿÁ}ü›‰û»p#J©·}íìÖ´äI’KrRˆìFÆ߃»Cåã´žæ“92ºiÁOµY}ÙP:ä…, Æ„áó ë«žƒé,௠òkÿ’ ´ãìŠCëÓ½š¾@©R,ÄõH@tÊc KˆãŒIòK8T‘ø*…°üW¢¾…L¾U«ÑȧèÝïšv`OJ?÷„,›ý„à³!cž«(“0"5Ÿ ž$ïÙ/°o%6WBݲ"\â‹È|(Ê": L6z7ÎÍÊ2ºîéž×'$‹Ö©jHä¼%uÈùqžélhº™+¢~øj%²ú²§ÛJHÏÜk:é¶t¹>6rlŽUñ— -Ù\m¢Ë1iYᨽ*{–FÈÏ”¦¦£²>RÉe›5@Nâ±Ë{êâšÛR[ùˆzTOáì‹=d;fÃ_ã²¥¶ã·ûڱ熎²™ÍÂ.J@,Na~‘-/º–Í\‹¸ ³¡BAY&¹ÿª¿Ä>ÛHH=N=dDy»eo*€ˆ vÒˆì~mËeÑL¤g†nøäÑæ£ÃG‰$ÇRÄ‚Ä Uf&ºˆÇ>©„˜À0Ó:T´H6f6|dÚJgT-ÕM/oþcpì/^Ðjš‰%?ób¡,ä2ÃQì.€‰÷4»gFˆCŸðµÊ®„W=TZËç#%ƒ%:+ï8ètu– ÍÜYwº¬P*ÝÌJ]oléê4=˜æàĵ•òvE»úûàâ£ÌËZÉŠÛ¦Ú²‚ìÜÌMÝK°¿Øø¬þ>> t¿©¹#S*Íôaª‘:ëâs¾à¡(áƒR ¬Ed²‰€6©FÝš£ ›€}­„3Ø­SO‘•§ÉÝd>NîuE’˜ê„ÝÛ½5uûÂŽ÷ê¾=ÍÆaARYËe:vÄÚ´8Ý·º¦?Áòä!uá½´îs3™°Bx nâ¿âÂÚ»Šò’Ó;¨œB£¾ïädýâñûSghÇúíoÓɈ[$žŒÅP01&‘ž  &ä0ÒÀÄœ—çïkø¿ïmk÷˜|_[ZúÇ N¶E žÔ£áBéV´‚šò²žo†¾F# >ÛªŸ¹’®²9‡›£uëÒõá<Ý;R婸PÆ!kmŽ`7-v1“ûXçwL¿Â`pu‡SíI©Ò$«ÕÂÃÞP7*ktê é&…Wú­»"¡"¤ù,Üäù_Ú‚‡KÏ‘vnË!½¦•Ù‘m×-„¡ÉÞ3| •²b²'³É]¾º®2«Psʨy1¤–ÎÅÖ…@ÛžôâOÅØL‘ìÆÿ@(îâîO'H+v/ ZšÅË‘8íA8îÊF"Q‰»LÌ"È—W÷ ëA7îmxPï‹õC:¥¤^ÊÔ`%î…Ò4úbØ+73Ýöä-äô¬YKÜu|â*•Œ÷´›ÄSôZ`˜q–éwUÐ_Hü¬Dvxz½wcWª ‘ ¬|Oþ:‘¬mJĽ«Ò%K~[¶Á—³Dºát)£çó6 Í–Ø·röíJ‰È癥À¿Ÿ¡(Gm¡[Ö&”É8PIˆ¯k3$›k=rÓ3ÐíY7™E ÇÎÔ¢ {Bÿ½='„ªûïÝqªœÖÔÙLköV"ëO!Åùäÿôž±‹²+£Ÿ¡«RnDJ=S¦¯€:–©L¿¶kâ1,¹U# E*x»j,=’QO¥OúœìAØäÄ\¼+y‡[#ñvPGó°èöą̈è9šÍåHΈÔ6Ë× ÓÏáF6½Ñ|£çðµo¾Y±øÉ7‚ô8¹ Ø.áëΉÝ6Lí7tì„›ÞŠ4x}ýÒÍÞë¼1ÓdlŒD;°ñdLDÓèþh¼‘®£z/TÏ[õ °jUz1øìhæ"æ4NôÛ±á^M@DdeMr®°Æ]ÏXg‰H”2yq¿Àš8"œªøþÚÉÆÇR¨©Z6ölöžD:gï2ç4Âhts…³º\Îâ…™ô¿ãoöÞh_5C•—ï ‹xe¢£Íé£q[0ö Ã{¿H1jwW¹û$FØ„†õ2ÿä/\ÑDv1!^9öñ’㑪œÛ_8,é³P¥eé¬l^Sê.Ì>z+ÝÓIê,6è¨\r=ôü&oPCMÚœn÷ÈXXmDÉqï÷.Y6/D‚Ð!Å#¢¡ôÀœ$ÃÐâó ·ä¡kу1¹1Ù“#“·A,}ˆ‚€¤¾†–aVfɟȃžÂ7Tu%Á!º?¹Œ`ªõÖEÂËïÓ¸XÔ-]œqàú±Ä êµ)þ^Б,]é øÆF©" mù ®E¬qœnyâ¶Z–>z(ﯫÒÖôb /ŽucéYBª[ó¤•)uÍ3^ŽòÂæá/+ám³ /Ž˜†á‰"#Ü€_ÝÍúƒÇáa »Ð!á‘'ïÕÖ=.^¼ü1úç~&5Üì@gqÏ¡“?êª Óh?®zr^WœKXƯxÀAS9A}açý7&êÛm&²0PäìéÚ”½¹ 5ƒDpXÞô,Žž™.­ 9º–x?êr!me‹PÛG|ˆ;žŸY©X]ì”ÚŠwqéHÖ’ŽI<¥9‚9nŒ‚‘Amà X¨)Œô¤_ï˜|y³ƒ‰]K¢èÜ'Ä9¸ƒòê¾»*¶P-=É“â:5&)=ôžo²;|ÞÑŽ´j¬¿½s¬[[tÅi©ÚÊ4Ñé {îÇ;ÇÝ é_¸XPg6:+¾rÄJÑÒÌTÑÐi GÝÌ4å±:Öáýÿè›™¢)»¡:.Úŵ2FæXx:Ð$ÁÐd~t˜"m¾Ž?;5 ÛbG03CçâÇSz—aÖ·ÒýG•ëŸT‹®¨t1&RÜ¿‰O=U.PüÈ¥þ+Ú¤µš¬"Ø8í Gɸ[ÄÀœöÝ®*´@RNìÅ’ôú õc"-“ꃋõÆÁÃW#áò³°èÿB1ªØ)êÌB¡hW–#”.‰(c¿NKôAΩõOê¹qàr”‰Ð›¡¡®I©GUßkÄ;² åØ2Rwœí¶XØqi,âÌÚäÝ´jU¼oÝjo<.z =nG’ÖèO×~N7+|AŽê’¾#Jä”´gUÀz¾@W@ ¨§¤Ð+T±æÞ‚„'>Õ9ð2ºÎÊ0} ¸®¡9C,ŸCU‡ð?SŒÂ54ª'½± 3žïâš1`Þ)'eœˆXÔññÙú³š¯³÷%êú…;ìÒg„‰® Ž÷"%µûÖ¤áêæ'¤í«é—Ajë qgû-i×~ àU'¢±¬¡¸:âwNR¢B ߤsèV$xÍ0¯ Z<-ïøKÈŠ(\ëÐcݘßìp± RÊ©ç7Ðr™YÖâ·T]'؈u4ÝnfW Åãí›)þzÙ3Õ94¥jrýëk¸¦)¸mmÝÁ©îÚÛ¡=ûë\dÖ‚Dë*||0;³œžÂä‹]iåÞ¯µáÝH£¤ .ºPÒ¡¨YÓö ìH dr;÷ñ«þ]Ò)‰IMJsK:~J2ö6ðŒtŠº~´cQ.GÍ¢u€zÅUËXÅ›?o,@”¶Un‡ ;F ¼6þü×^Æ×»1i/HpFìX;:˜ øÓŸkWç‹á¸½rE’ ÇÎÒEYî*ôw Ò¸€fi¶#6-ä–wõiLŠNóÔn«,@›ÖÔˆM«TÿÁß×ðwñ_(HcFfjļ"ú¿Ì<¥©|Î$€Ù–%ð‹h ˜t$ Û|_£6µ®¢¾à~EŠ+~Q”ôë9ÿHð\ÙáL:®,[ÄCø“ /¿ºè®Š?}÷Ýwi‘¬3·sR¾ýxϨ,—´Ù ä@ñüC MŠ¥=DÿÂÑ‘ÍE†LÅÕ÷ +„µHBªp‚ÝJŒÕ‡ßILú§u‘¹FÔÑrì:½?‡ëä6´94c÷í]ª5³ ¤füo§FI?I D©ÂÆÑ+»|;5ñùê«ýgîÁ|ÉþÍüØç=­p¹f¬ õÈÏìÿ·dUY”£$HËö&:Lª¾ã?Y›µK¢Þ‚c[jxD/éUOyÞ-{¢“¹JqósÄkžØ²pã^€üo=yÈß.ŒöiKœ«ê¾—ßµ…­¹<‹ñ£)KÕßÀ`€Ì^ã‘7žÈ·ñ$¤-l)½èæs 5v–-*\‡ r˜Îë©‘Ïerò— š•›££Éê 7"u·_hìvdå-øynºíÊh_æ·YÏúíÇ.еŽû `Å“Ò6ùl¿x0˜.{áß_fˆocInÜÿV£Ë~‘,8 UŒ'»ÜX}ž©ÏS}Ð[ž`Gœ€¤–ý™ç˜ƒ¥^çµZýä÷ܪ˞û¹£jTgÆ–æ€7ü³wuÂ?ëÊ H6 u\Å™3¨D¦\DLæ TF¿Ëô×ðéãy+µ0ß%“GK—i´ˆ©MÁjî|eé…W=°¶\$uÖsSº·äÏ×ÿ¦)•÷jjÔß÷Ç\S¡ÉžâÊ›¯~ }RÃ9fru‚ï燽»©á£\ì¸êéfÞ¬N#·ùƒ#¸¥F‹ ‰¢¶f ¡ók—NòFAUsq%ád§½ØÙù€qQr;êL¿Hµ´ÜÚ(+l]MÔS ó ý£]ª±^yww§wÊôõB¦–Ó•\÷¬å ç’ãh`%lQA+¾}»¾Ô~Sÿ~uQùF¹+Özs®[€Snû§É8Ž›k®{ÛÒÅøøÞ¤8 8>úTcËý`Ò£ˆ§{-ø7˨ÛŦ3“ŽM1‹,73ERw£TKÿt¤ÇôŸcgF?u"Õ „ÖáDÒ3óá~'Ù2ÿÔïæ43øÕ–ÉÄvÝ3q7ø×Þ•=âTÌw›Ò¯G:ʎгE=£À9f¨JQùFz?|Ù{6²âtUœö&èD£¿J¾ãC •·ÙÅÅ Ùªø;Þx“ÑH&ûó*ÐÅH‘HÑ´Y×رšßú.v¸]ÚyiL]MØ­cÂ]ázøÝÊ6¶8ÿTõhe!¢UÕö“ƒÎ1+m8—Ãõʶb#ßô½qÓ5‚®Cnaw¥®A_*Ô¸4…’zä›üz'EußeÛÅB ËŠŒ¸Äh¿žøºª$•9‘×·Þ‘ýv7ŽâÓ¥$Ë7öÂÞ–‰ï&µòJä×ëЅФµßçÀû3ÜC›€6Á¥Wš+‰¶H#ñ»@‚ãêßþsçé›ÃâùþÓ§oRc78Á9êŽlHý×á1…K*tøp„ÓØÂиNÛ¥ÙÈ×™ŽVÔÑxÛµùÆpsŸHàO~\2¨´½ÕqÓ}îÒá„c‹<úB`G+êZ `äzÆ Ç`´´Ò ÿ&ãÍŒ ÞT¦ð†ä=¡½c8±ùû;Ö¶órMrKé,ÆkÓ ´7ÁØáúŠ,Zò\õ®´§Vf.“ô…î(è»õ#'! ØMÉ^††³úáÃÄÎbÒ·ˆøÀE»øÓ4¶<ÿ6)e¢Lå#ÐVšhS@˜å2‰ðiÅ™þù'ø‡çÍƽDÖQxèÚ`»—ÿ R.á¼âHümRˆµ¤¡$£=í©v>±ñ}û×øõ\¾ƒÐéèF4§¥ïdäöôÈ5OŒæ5¡y‚ñ4am_N”âåy³+ê2å€4‚“”Xâh«{$ttÕ‘¸N—Xy¿îݼŸÜ{›ã­·–µSß{±É7™ûD!¶–÷ã‘Ðà=sæ|üwžY¯ôQ0לs“PnqícP¶;QìƺpÁ—eÙ5&éZb6ú×%ãU‡3={eÏÙï§Aÿi…ë“N¡Ü#F2å/}à—nl£Ÿ&ýÍ~Ó!R|{¨l²µÚBö¶?T£¤GÜÇ9|Ÿ•ªtM–sìÆ•do†f^öôÝ›‘Ï¡éÓžªEbÞ)ŽÕ·Ñý@«*Å\ä 8¯*ý‘~•\’ÔÃÆ ¨ªWªe@M÷$ßå¦Y,íÑàq±î!ÿƒ±µõ…_RÁ*‹Ür=T#7“ó Ãe&<±Mñ/udH`zìbÉE§%BDn£ýOœ˜çKI'X ›Ñ>|q™/Ð@Õ§ákzÓ½uCÚÐv˜ZT°›5SŸKˆ€@|Ù(£¤Œ#îXÓpOÚÙ1óšéÒÕ!쯨/B›ý¾Señ’¶P†Ã–~-Rû>ô÷6Bð—L;Z È½1ЄœL¤-DÕ—2ˆ©že@æŽÜ¡hy¶Ÿ0yé^E”ƒ½9=y &}U-“#¥Pk÷,®Ø×3'9r9‚…}È»UO9.ƒ•MÎÌ;›%ëçOCô~ Õ»‘S{æ(L8Ì{›‘Ÿ®øžg:ÌY'^Ðj<u­‹R¦ÆÏЮzZW÷L wyꎣöæÖ•ND®r=I`ÐxIÄuÂUj2š³†of?îYÂÝ£–grhC7V.6r•Î•jzA~L/i‰µÈõHüZà´6÷ã}ÁŒƒ)­ÖâOhçZÔª·W£QþË žØ•ù,?ø©S£zÅ[=|¬Ï˜ènÙgëÿ.#ò"R't»v⢫3ï°6ýo]ß~´%í¬YX´û~¹kMÒVo¾¢èÿÿ„üe"?¦‰WÃa2DO¶î‹ÔªñaK^qÞR¥¨é¾’‹h*Mm ó•È‘[Úõœ*À®åé{mò@«ìÖÛ„ß%QI©ŒwW#µWÙÞ“æJ€Œx"GÉ—²ºP¼Í?‘¥#€W=Y±Ùg–^À™¤æ »g 'â´ñÐX“íCò£$iüw X„¨þ‹Ø‰æzäB ÃYï|7¶^iÓåäÐsì•ÿW.Ê?ÊÏGÂPÊä°­ÃøË«ñ^kGV¸¡ZèÒc„Jßµ d_G$êt6š)ŒÍ„êdÿêúx$>)°?èÎ ±B~§ÍL‰Ø@àD,W¥oXfÎ/Ñ.€f!k„a¸Ï”…%½]«â‡×¯¹6Qó.ºìi‚µR…Iâˆã°æˆOU_÷¡³#é\Ó’Ì£^ˆ4€»#';W5¢;ÆÑŒF£ÙÆ;3bŸí<àµÌe'"œ.²ëgŽøýÿ<Ø`¹“p*æ#ZlÖ³ÍÆiÇl‡“˜yÏñ÷jx§4¼#‰A§)¸Æ º:ä‘ß>aFã+jGÂƉ…&± ‰ÍPÿ:û…ØåpU|Ë'ú½'ßrdØ—ë¯DL®Ø´ˆ‰Š×§Ã¸w7æÈø L^˜THõðò««î ^»£#ÓA†5xKõMËÈDåHÈF!ëÁ.+惔M€jãàk/ò V¸ ‚²¹†4›582çAzå…”š³²ãÿ×0Ý/ÿ}‰uåß2œ»8ÈÚUæ™êvÐdozÆ‹e;öõLi™`Þ^€ ’ÎÓÛ3åGE*ŒSD\: ùîÊsÏ17•yp·Ø¶$ðÇepÇG#3l‹oßéj †“0{.:öÑ‘2õDºæIœ’¥î;úÌú|Ÿ­DâÌ-nâ+Gô³3Ô€p0¨Ù°m™„å¹Jq£°eß÷$1s@ld"Åš'"W­o«]À5›ÿ=œU†R®z í%fX 4&‡2èbî:jŒ$Ý–ù›Ëú̾?¨6nú@8¦ÉCg>ïVòy¹aW¶½atFgÛÓt¢Œ$ “Ùÿð„¥'Œf½e&»Ï3­ú™\L¬·<6»•ž ß©ÏÅ¿Rè˜[Ïí({Iºþ?=£"e<ª/yÖx\Š4EÐàÃ×½å, ’{J—Â`î2å%Ä¥¿„š·,c~ÇgG+ΰöD&÷y_rqôl‹q$t»Ö aønàm¹g1÷Ó…4Ï;¾ÃžˆÂžñ&3~:Ú;‘êãIŠ Ägó•©ð­+Yh*rHkã²U$ù[x åD¹–ší#q4ôê~¢»_šQ4O®>»§ôDN¨"7­¿NÊÕ»hå¥/Z±gkÔ>c?9Ć!ôtÂHÙ8ý~GבûüÍÌQ8–3ûàì\ã}men»¡@I[­î;n }˜tCp>ME¾ê±\ADði‰\uM4[]yeá³h¿‘4g•;Ô$» Kë=•+5e uä×£âi™¥‡!9ïÚ%áUOè9C;qÏ„U×1vÀÜúJîÂc”¬Þy7on캨‘¸;_ Ô<Ç56Ί‰ÇƇ¶Ê#®<ùD‚Az"»ÁÿM¨œE;ƒÅ>\ŸÊ…•“̽Ù-KëæÝDg¦<ÏZ²7\¤jÛè|óx;8ÖÃ6'!TzžÍ6äÔŒÎø{t€ÚÆÎ'ˬ{¦ìÛš@µŒîõÆ>*þ'ËÚ!«¥êzqPªÙxO‚Eos¦’AÌíCÖ;ì¶ì`°,\„DX7Ÿ§&ŒW‘FBÏtu gE™.xR&z÷(wå±·F’êò—€˜tɳqÌæÒ#de!ª‘Xw­^m»QׯybߺéoPkr`‘q½Ïˆb­;©mþuk5_ÏhG.‡e.¹ ®ŠN’—UvÃF½äV¸¦£g%É?£h uý‚@ýý_þ ” ùæ9H»K0W#ýIW7=IÓç¸eŒ‰ožúENÅ ‘‰«?5ÉÚŸþˆÊf‰üZ’Ó=dö÷·‰j•«Ýã#*6¸H¦Í¼é.R$TQ»õ~¤¾ÅtAÝÕyž°¾‰McãËÞÁ/Œ¤ *“ Ò°î«Ø£[‘xHÛgî¦îRdöÐTñè/Í&«£ºoü‘CÏB&H±ÙáÀìæó¸ÕûgµÅo|¯ëæ@r·Rú‡9—‡3âûD.Âõ‘û  ±\;quܼò(±V ¿B*0ìnÀ'²Š¡ËÙQ˜«´Ñx‰´?¡v;¢â\‰#`¨mÙ“2ofª÷&ûlÞºÇÊb•úµ&™û]Ò—?eÆ,DvUKµªÇô«Ë äaÄsDýR@ÂUIO¹fþu¶\‡Ñ‚›HSwŸ!f–ïÑìG»|¨ù°yàüÐòæ.„ÿ|›õ¦·ñÞôÔ…H˜NÇ ‰ãæa¶Ýv¤¶².dKORVíÄíûí ¾õMÇDƒÛë”v~ÉóºQ©®;Ú~_|ã±Ç<çËÄÁžª6äéo ÙùŽo5×´ÅóŠçÒ»ÙÁù°Ðí0ÕŸ&ʆ+¼ “¶a÷N*XÊßrãeÕ£'â¡2¥s´ÛÚ‡™*)Š6ðõ£a\ ܇?¾ê’ Æ_ÂÙ9bFþð¹še׃´ °6(SªÎÇ d}‹ª(OT‹41Ú™PŠWe«¹ì)ûüÌ2 ÑçÝup^¥­+ÔPõæ?aú2k…¢hŒ(ïè[®†äH É9Æ~Ê ¼éI~FpºD« ÷ýÙ…üÉ¡©>¼¿FÝ—rêdüyòGŽÓ;ŽâãÀ^tÍ€ýcÂÚ¿à€œ×•mû´œÂÃ]b·ú×<,uæпîI|@wHYM3‰ãŽ×°©d",Lì®b¼[/ŒC$'7àÿÊ5ƒ¦’øÖ &ñ†§Ä@Ø GaÑ5“©*h*«ÂŽLe§vl‹Yw:Þúó«¸åÑûœà ×wpÍØ«Û†ë°O8óYx³»'îžø”‘,èõR6žÒü×39_é”<èuº¤t˜ÏÞ3ˆÓô5‰L¦!_ª²•0^í#À‘Ñú¤î|°LºäI|\‰O´'˜Ü¤–&Ÿ™#ÛºêáÌØqJŽËl“?{[¼ÿLþtÚïD¤<ÓG”·r‘{q×u4,/Óá‰SQ4¾ùNÉŒI÷7Œ‰›ßÝÑÒÅD jW‰úÀSµÃw‰"÷5Rø$û–*óΉª ž"²È¯&Jn†òdƒ„¯ RnõeºÃ¹ÌÛê÷yÖï<}RkÍ1íðøµ-âÕI! 6uqL—IÔpn^´þ-Ï> ‹^4Vsß½•ÐÝ°þ ±Æq·ü“O#ù!êqªŒŒZ¤ o ©v_`;ÚsĽ+L;lÔ”ÿɨ´ŸÎHëþRÀ Ž!;$©=‘/_ROBhCâªØ ãP-N™™ÇüÛÐ(ì]U IY¡;á¤RUCçLU+Ô‘O{·wãxP‘ñ<ê½¹t 9HÉçˆ?™'@ntbÆâeèªøþï žôòeè”ÕU¨‘ÒÑ©!€gM1Q9ƒÆäèHq´åpáY'N{Hšƒvg]5²8‹Óg'¦ÆQ;ë’C»ÜX¨Í´3©T`÷¹ŸâûijA•1/O¬E¬6#îL„Î =±¨Tq¢ŠeD¤nƦ—OÛ°i|Õ(:ŽIÆ@l'Í|Z¹ »‘æï`»1ä銣NTËLÛŽü›ÚÒt„ùY‰Êbž¶šE@?-»3þ¾€¿i"Lª pmöZf.‚â®d¡&â`;c¡r#c¾8ºvn¦'ÍëF¢øBŠe2"u33í¯¥Ònö)¨ÙˆËÚD±ê*Sl‡ôAÉFË k îºP(;]âlûŒ¸}àyÔÅpIç­ªt$ÔYl¤)ÓGûý±ñZ™Ô ìàt:*—BDBôŠ«+":Ùe& U @:1Ê‹Ó›¤#2u$&ã¨+Žhû\™ŠÜrT^CP¯Žm†ì&ÉÅuŽ~*ò>ZW­´ÈgnQcp _7mÝÛ¸nÍ°q M='­Ú*æ¼ÀÈM¾#¦¼Cí14DbsIÄu)âÅÁÑ®fÝá P!Ó§'Nm\­ç.î?BŽq§>í•ßYK€U¤‘pi;ùtï \dÚ#ù i“úþ!)H̲1pdÍqTY40U¥¼ ÝÐ-i_A* zÌ…l‡jIBjþ¨ãs·ú­”cÏ §ŠæÂëض*WxвÿVK8Zü˜– Ïɧ)´þ—?‹[}ž± 3Ò^÷S§E‹ð p˜Ò^GÊBœŸüvÍ÷0¾ÓÏI–Us+ðè¾àV†^ EhBà3¿òƆ¤L³2¡&=}RAL7“Š¨#¯N =ûe)ŸMÖYO‹þ¢½©•pÓ …ëk5¢ƒ)msyƒ®,æ(0T41d•)[´ôÿÿà ï™DŸsH-'ùÕhg™Ûbk½WÍ`ɬôÒn(:tÃ30//Kñlaø‰ô›L×¾cYÚ•ßð9à¢ÒÊ­‡ÉÀ,*IsHd-¢ªÐT§(\¤””4ÖtÌ Y8Ø/žÐ.ÂUR­hÚ›ë© D KκM¨´tÚEû4þN€Î‡]ïë…®„k tÈ¡)ªQoÃ$?@`Âé±BÌ€~Q öìÁ^7ÛîD}Ù.…6¿Eé vãéûy†íZ Î¼˜4“6÷'̪åÃ]µ•Ü â@s©r\‡€â$NQ«ÓÃÉZ=tî(bI^‰üꪻr‚–ÖBmléKk M‡_ÛÊ-âW;Ý"uê½-^ÕA¦üC¸ÆØ­t5ðÇõ:Âuçìú† °-×S¯Þ§8 K|åàdêô¸P=‘¾â)ïkÏ:=N ÎDœ×$\ÓNÒÈEHßââí¶>êçQÑ{BÙœGr¡- ï #[F¤†‹;K:MÚIÀ’/%R—tÒåpJ2ÆÔœA4$"«"ý”h¥¡¶™ øíw–#“Î*\©½ŒOv–G­ðŒ-©µ†ttF¾~—Ô7z…éT#²9öâ3&‘Áâz‡HŠÜ¤ª£h±ÐÇ©ƒòÈ_ÖfªŽZùZô¡#jH–‰’5l „£Ùì÷;Ën`ff@\4lž¥ TOIÓ {’·@@ÑB ~ ÛÓdîø4»HÏÆUA'‰-œð]OžY8 çz8¡³q÷s| "› õØ,i-ÅIÏ\ê’'<ðÛÚ‚¦ý 9ô7º²ÓÉLU¢sm,ñÿÚíÿqq—¼™Qe—VȘÄÍ(~ín<ßØ-^u¨(MÍB×­X$»’̾èî£ÍG°ZÌF;ɇôÎÑBòyÞ¡¾æk˜oSäm«Ðñvœo±y;”to|‘Òˆ9·–QêiÈ·õ°T¾œ_LßH|¼âßEçÈî£íGOÑmP§šv(…£o˜ªšÒÛ¿}Äþ¿GQ•ýt÷oÅÞöÙîfñ§¿|ÿ' žÎ]QmCª_ÚS~½»y ÄÞÝ}ò×?p¥´ºÓ«`H;7Qy¹µû|W {„Ïü ˜(~¬ö1À2õôa±eÇ]¨:¢Z®íþ°¿ýtŸ÷™ô±~¾ûãJ\2²J(–íÒ¢nñµ -TÙq´|Þâú®*þ¶qdÐa =/A_íb3Á W'îAõŒQ·7‰€‘6$Òm­¿Ðƒ:eû%°7^‰Ð]å#C`TMuôé.Ôߟ–ÏTFâþJÃçND`yw¥ ÊÇ$ø¹Õ[ äµ2Sú¿8¬g4q=1õÛÀ@¯†2» ]AÙ¡-IÔÃd%¹%tÿHÓ¾_À¦ •B Û:ù™¯G>ý硫VSú¨Ó¬#\~ wŒ‡ÕðEhŸ_j´«:ñ€;Ô¨de€´ô¬¢ùeãv±Fì 5è%NñSùÝçºEmjÍguØÿÁÃa毿¤kà3!ã©® ã•£·´mžêP8îÊ.4Üúh´£*²lâÔD×î §½iÜ4åÇaö-$RÞUIöW»*jÎô'¾^³tº¤ø' }e ¶rÍ•šK%¾.úñ Л4&cøº÷™OéqîfgL 8å¨I­§ÅÄR_ô¤‡0ˆS5†JÒ¦¡ÃÉ„¤–ÓocªG™lê[yˤåG_`]Xâïúv­IŽ ¬k}ÆÃî^€nÛ#v!Q©äzhBŠÂ)H)’æ.sº—IH­ÑÃs|;èLÑš?÷³¤êÁÐAë&qMÞ‡¦©†4É&$Äç‰Õ!f݈{“XÌ ÕDÌŠaú6Cÿ–[5ܬÛI'ž7|mª–žØOWþ”XjWÒm‰˜8vg2øZ“7Ž¹Q¸©YA{Á ÌÃA -nñ,ݼ$`! (ïV+.:Æõ.oúKHÝýºxkž·q@_¶†ÃS¼7^q£½5º]0j8{m%ŽX ëGú÷•$!5›ÑF€³%aJÈàhµ™ŽŽaˆ¶ôOÛkŠžÃÕÀ¦¢Š¸Ö0ED3‹Bíy¤àè‹1B<>zÍ“6žÓ®#‹&~ÅŒåÿò+‚Ú°ˆ«.n¾x牥UDÝŸ(q"‚Ê•jñ’4¦jc·‹~ âù•ñ]ÖAi¹&ü«Û°U†ä!((M«&åCQOyÒE…ß‹«·SÖ fL”í~†U–b‹ˆ³ Á}P¼N¯õÛÐŽ}áº`àqÞ–ÎÌÖÑf—·µ =Ꭿ´ÖÒN/§^Û 1qÝë³c)4(-j_™øõyhàû<Æt¤N¨”fûUhS±ÈüŠ­0C3,íÃõ¶Ò÷u¥“Œ›E~y ®.Ûz\,;"µû7È·™õ£-8àmg0@•¢®Î ] ´][å¾å¨lg-Ð0_ž—ɯŒÑš¼¯cÌUTð6ÍDÔö‹Lí³ùõŸÓÞ×å–/&OlŽÌß´ý›pí  ¸þ2Ϫ­ˆ¦ŒÐdò“þ–cTþ[’ »xÚˆÁ y¿çýe<³> „-MÒ*¢ùؤ2JêÊMnáÊWmž-Æ“×× æƒe§¯ Nfæ}ßÚÙÊ($ëëpí0­”€ìí]Óè"‡ß‡S'¸GÊ%Ò<˜¡üݼL*ÂÕñlú¿eŒÆÀõ5fkñCO)Ramþa©Ö.‹LªÍæ-“ɱijÅ r™éˆM^¨ú?'^ ÄÞm?D7yBªÆHgýEªnmä¼m»Cœå¿E}:²] õºê©€¼ÖIƒ¼àÉqDC_lרö4ªRç<ýÿæux‘N¥ÕB'PJEôø¶'#¹×Lj®%=‰]üܘyDˆH\çÚ$rÑs0› ÷#áaqªkFi±¯•çìh¤«PܯwSþ˜ü‹Ówe†ÄO$¹¨NÉo瘚Ž¢þõ ¾†Àø¢«4=ý ë*³VÀ^Ö"¹k¨®ªß~[W³äz¾ÈÀ8ê>ÆõØÑ_ ¾ljÕÊË‘Úªl†3q×”qEFâêH¨›aÆ\ŒÔƒÍþkaIdì±z#B¤b>èR'!ãk& ü¸x X W1vBgn«Žt9(£«îœkYé\ß ×#Ž|L|=CÉòoqmMÒŠgæÈxÆÝŒêóVäçcAÄoqóF­)¦0ª2;¨Ur ÷‘úK×G“N}¾õÛü%BªNž@L=øéQñ\Õ#ilIÙ$°Ž„;»Â-fÚŸGÕ c鳌ÁG¾Xâ¡ÈÇkiÒ$°äÁÔ¢ 'ñÄ,îpà`׳ôäEMBs•Àƒ> E‰üïàFä“+™Ú]‹Ç0ÿ"Í ¹ÉH\ÚÐf(²$=Kç™.C,˜0&­.V=d G£†]©N•+J¹´2¾ØýæÊBnkµÓ#å1ÜÉ,‹is‚ lªž^æؤj"Oχå=©I/Ëw‚$ÉæðÆ-œ¦‰FXZlz|ÜI¯§%8°$7Û‰&5ú¿ÇêØfÙ‰–%rg¤¹¼„ž+‘Íq-IJÃ#ÐðìËÛþC¤›1,Û‘y?r ,Šç†Žíª’ô»¡ ×ýOP²AzÑ/z¾¸k"ÅVßzÒc7!ý¬qNhƒnM¯tÛ9ß^Ø€ŽTšôqŽLæ’$ŠQ3ÝOî´1‚õcóÈSJK€o±gNOé?ûêô4nŸ1µF6¥‘*B;c13ã¢CÆ6°˜.»â‰ÊWusœçãQ_®7ìEDÒëŽùPNËÃ]C¶à´<]XÎ<ÁWï‹ýÄ­Hâ,»:¾8u¢ Çã×½$åríXÔeÅëؼãwø˜Eþô è¢Ø,ç5È•µ+Žµ•W¿ˆÔ Ÿæ’§ÒQ#çÖ퉪çùoz{‘zªÇ=És&½úšÃâ™Ê]ØëŽìök¶F’Ð\êeqpB:(Wø9ã-|©‘&‹×ëãwÍÑÞVœ{šR~üöT5Dáļõ=¯<£×{¶Zö´&w\™²§›³oF£rez‚acOn ©` 8ã ¡å#í»ŠúŸ­È>~ø]{¯upÒóÕúÎW•ï÷;ƒ,mÙô®cü“F†¦û¶|„À²•Ž† QÿÜOÆ"î#g|y1Î!p™.*ýŒ9ˆŠ¶HbÍ«(EmžW/¹ßF® Ë-1á¶èµóÅ’¦ÎKÙþknòã^w¥)`;È!R¯†–ùið‡@æxóChK°ß‘ªŽyœC=¿ˆõžLÂ/«OD<è.}í_q'’ÑÝnPžõ) —² UOW7ƒˆ|ÁÁ™'¡Ð˜0ôšì÷Sƒ°³(ˆbÃ+ û( ãJ 5W8ÏYÔ3k€Dãu†áNd"uhç9L­g71…’s‡±Ÿ b›œ1aóœÝk²…(ô~+§çO¾+™»ª…Óbå­ÿí ÑúYæ×’é„A— :ëøç«-Q_éAÕämúë-rOìÊÐÞ?¶:ô`Ûþ@ÛB-\1ÕèLr¹•Z2[uY¸ãÝÄLvkéù.TgÔ¶ZêbÐE‹=Ï:›-1u«n¨þÆÓ|¥å©õ‡tÐò7Ü™BVIŠ‘\¸µÐøzj¥Ì8Fd†˜[¶)–Å ˜#z×ÓÆKUÇZ.ßS n¦ŸLŠJMSz"5™ài1wôcDÏ&$°ÄÚçÝõ8:pC n¦¸Fêüä8™çh)OR î‡J¹ËÄ5ÅQ²×vÙ9]‘z¤Mƒ`é4ÅLQiSŒÔ´€“¹u¡KÁ£ÆUñS ‘âŽ4ˆûþg8¯ÉI#¼ÌT>}*[÷‰$ãÍ2bk‹·"ÖåˆÔNÃ5T΃Þ;gͨé- ¢´ C„ö|3®!÷¶ˆ`O†Æ«ÚgFT‹£Ñ5%¬Ñ¢¥ë–^ýúUA' ­˜¼gzª×%+¢){Ò¾ñ,zWð)I-oÛZ­T ½Ê¼§‹6ö%&¿@!‘7" ÂÀ¯T~SvÅf•Üµw™¹Wë |Ŷ9Q•áߧý Ÿ›}'2žîI®ê´0 ºÆÙ€¾{/½å:³G²1¥Tž¹Ó€,îÏñd ˜¥’/¯‹=Z¿Ôë¥Xü€›Èav¾ò;¶¤‘ Pè`ÉEƒP­ª£ÞDÃì w…Â@¨5ÇõÜû,„ÒÑÛ짚àkžõN…º©bÊÃŽòr:µÓ°z?óÄ‘³Þn¼RCÚgeÅæë©Å1ƒke#ã8 |A&ûÙosfØA®9Âf^¢usÖ:zŲUF2o{fƒ|êCNØQ½þ;.r êAu„¶Æ„Aæzƒ6ô 3mÓØ#¶.+p"@ºè–JDø1q[͘P Á±Ò£íhÚîÅRI´¤Ò’ü8BÐò6´ ™ íöÔ²Âȱ­ÎPeûþÒcÔ÷h ;:Œ´÷‚Ѷ¹zɾã„l NúÃbæÿJ[ñ”öøŽ´qä<¤L‹9¶@:׿¥»é ™ÒYÂco¡Ê=²Ç€0ÁHu‚ ºÎÌ@ê`#¸SƧS2KÕS± wS6ëUA®Ú‰¬¨lÖ)`Šp½%;³u¡ndÌl­1럀¼y{$V¬ebãˤ{oOºÒˆDÔ©±-‡AØ 'S[&|4q.Ýxæ]`ZO¬EJƒkVÚØ?ŒÏdÔ­£¬¦*7Ä A}Ù¬9º ¦·˜jæY±ÉEOþÍ3H×< űöEFóš§ïë…-;Ä4OÌp"u_Çïö£®º>íÀâ ½PUšD¯F:M¨³È´CÅïôY GÏH×¼9ãÿ‡Øb*bä×ßi.øüLÑî·\暑ÓЊ´ãM˜žéSÌíTg ÿ,rª 2X3Jl°1à0yM‚‹üéŸÄO_V ÕˆçgÀŸ¶$WŠÓošõžô~éÕ²l‡¸ŸØ ¯g”¹+›ìqîCfeù,ñÝ1M’ÝLõgp€rz^«ÑYôý.ÙH¾ :Où¦UjJÇÌIqbHÓëZEc6^Ì:“ó+uâÊ% D«¯ˆ]/§€‚³†¡â_#å `c“ðܱ)5f†ÚzNë·‰¿ÚM %ô§0³Ò©õÆåÛ!Ú‰¶Á‘>®RèÌE¦ëfžÜlkLªìiÝ©™ Áƒ9Ú*?¬:R"V‹RMónü6Q²t²!T›¦P#V=ÑMJXåŸÒï*éÐòú“,œ‚Oþ넽ȓ!ÿ'Mî8(“eö[\!ÏaP)4æ§âÈ`¯Q7ýºÑÛnŠø’’žÄÉÜá0ý´:¦ qß‘ä‡ô P†¥'ª®Ì‚”ÀGóQ:P£¥03¤ÍCJ•+÷: {xâЖ³³/ÏûËè»^!PÂË#§"yÍL•=‰¾G¨´QÀxuîÏw=Ÿä<¤ÒÛâ]iZµˆf㯫8ï¯øË¥BöBJ“²\¦¢«üÓE\:ªRœ1¦ÅDwH˜]ß,j@˜‹B‰‹‡ùÄhÉÆ÷3äÊ«¡fI4_“6IÁñÑBMo£v- í‰(l罚ÙÛ(¶¶eÆluª­0÷q“<¦mw(j0ŸgçðÀy†©ú7Y×"«äò "°ì¸”t#àñU¡‰».à §m×…å?ÂòaÆ'¶8-j{Ú¨QTRé8Iòï‹ø;/etÁ‘J;ÖÉ$|UloH4ŸràðžJÙs—¹…iŠµÓã:ËfB‡Ñ©X›äÀÔÎPlÀ-ë‰9‹^¨¶×ž$!}4µ•9†{*82ëeLËûäò$¼´¢O\³Ë(ž°y=¡7˜ ý®v˜™èäïH{®òwpQ³p&éáÊûÆ‹"µï1'W°Ù‹ö+`Ø?F[1M“X𱌒½Æì˜î{OA7®ê±/>°$èè XßVl(F(¾´Ém)çAªmŠy¡É6+»hOD÷fꬋË|Ñh¹àˆ@ŽO(( ¹†ÃÍÌx—$AZËIBMH;¡u¦e5ssEz÷Ãb°“¹+â°¢‹(ƒ2o)^pÉð{i,+],<|gSo$*‡¦ˆ œÛg°2c3WSnëMPæ ÓÛÌP 7Œmø½¹¥Ó¡e«"oõÎÖS:~kŽiXYg¾Þ}å£3¯ÿÑ#pÿ&çNä µëaHöW‘]GØmÄ êRõÌ®ªHsMÚí&g·àZBgŒàƒÐâ…¢]•¡9Þ?ós¼P<8gÝì^hó²‚÷Eú‘ïñ&¯+’H-l¨È#>³Ï±Ín7<û­>ØâFháÊÑœ9óP'ˆvÜ®B —¬ÉÝÔdqÖ牳ΡW?Áœãmm|öƒ¸Õ¾Ñì}àAÜdeÌãÇýÔ×ô1¤Ô}|ŽýØ%¦(–²E§ÓcÒÚécüÔR(^VÞ†Ïq&¢TŠzÔŒòùÆÖ=·[\Æ® Ê;Õ×ø´5[ ÏœÇû@503ž5 WR:sÚ¨“hÝ>sHD¡Jôu‰Ì~U}`áL±° 5¢z…]Ò[.ÐÀõEz!¾A·úVqº"gMÀÔñc#W•¨w¬Ú ²zM§¾=c Ä®ÒÈ£ÙáDç¶Í_lð»ÔÆU·&ËP!®Øê[B}c3b¶:fsv ÞL·VkÏ÷Zà0Ú6è3Z ×½Ÿ­4ÀX¯Î<Ú!5stÆ{D¶«ý™ôïçìÜ©Sá;A¬0ѪÆÇ+—H8è”\éü[Ÿtáäx¶‘šÞ!ÝÚ ‰O1OñS0‡“ y®ã¶ËSÒÚŠ‰"Ajkà&‘à3­ ʸ 4"^¾ð ¡¢ÚI¾p”Éz\6Ã¥b­Œ ã.¬µoFyìýÔ¢kQ#úâªOVvnòÄ–éÔ+ç-s·ÕÔ¶}ƒ{à‘t¸3»ï&:7/•…Çü§åÕ?]í½~P›oó 09ßà$E#Sr]¿W«»¢cÙ®ˆ•5혈ž×¤úž\ßà‡VMÎ~¬‹MXÐWŽÛÈÞÖ¾NÙ zÆèÊ•yI@œ×<íyOcøýsO¡Ê#[ÎÈP½íÛì!vœ•ï•ÝplB ‰¶šr=Èíþ“ùEÛ6:ï :»Ûz¥]of Îò¯ä_w¦ŸV[ˆ•û‚ü¼T ¢&l~ï² éÁ0²Ñ{•+oð’f‰¦ÿQƒ¿‹€ú¯7vô+2#­t{$Øq­æYW×Äïw9,úL†À{–Ã"Ë õÈ+’¥ç½Ég†|ÌÏ—¿9˜ž9ÁúQue{Æ'}7æL¼oÉ}4B~âL3Ìò„7öT«,ÇÍZUr¸Ü@ÅÎyXqP5>F#ßÒ‰Œ^p’¯ÂáÒÐU’W¿!µ`6§³Ê m›½‡ÿhà×êÞ¯Pv¹™ ÿ2Ì÷ÔožË^ÿÀA±Â¦íõ¯íYŸ>D—7ÚµÛåª`¼;ûþ²ªlþÏâ辎§ZÿG¤«žÄ•®ŒDˆñäCèïsÏAžB}(a—ËOƒ{¢Í³’añP­NŸf›ð™ Vö{ö‚²g/¨+‚—ªS±˜”‘Ââ'<P7#UL»â}ïõ›ymdH×Æ€ ¾ h«ê? °e õÊáÀ‰U•ÓÆ·ì˜:†úrãµØdwÉLy00ý ¬ýÐ,WÏVÇ'=~©Wenf¾¥ßîÃ27±«Š·€QŽÏ0R´ÐjUáäf‡'°å¨^÷ŒÏ nål~‡•î“°]Z5]™ž¹—c‹HæƒK«®5ÀJê¿ýçY»§³9é~ýtþ¼Ï¹Ø¬¹MÏâ{-ogßW}O×ðÍ'=Õg5;˜1OKí+úJ}t.„Ç„x™§%݈OC3¬-g0aåÒ+’qà…™ý¥øI-l¨tPÌÅæ0<ý€WG¿Ä¸ä‘V|Užã „àiÕm€[¸ì˜Ï5;¦Éoÿyç$¡çVn fi„À²F‚òÒ².9×Ãá㢗–ø;ПÛUýœºvºK ¢,ùgÌS‚«Ød™ºô· ÅNUzÇHu:R“(Œ#ÈÛ¥³tã)l¶œyÛÍ”QïÕÆ^mí‘$ÈRç˜PÇÚYÐæÔ¸ gã7|RvÅS5NÃÒ'@€{÷e“¦Ö5&ÆT©vE¯þÙè_æžý” Ô]FÔ9ÎÖ‹|]c&¾S¤ê¬óít*9À—Lhîw%ó¦«óÀn\£Zm©ò bGMXðŽâ­Ó!Iö¤–@ti£G‰;ÞKK/jÈRþ-U¡[u*2ª£äBâËF‰ÇùÁ4f0Àb P·Iôªc¯«)Ž4 /Tˆ¼ÈôŠÔ‰mU37ÀÎÑklÏy,ȱQ­A…©ÐËšæVvØcìƖ˪ʟZ `•rÛ&b?¿¿žÐp•Ñ9°J¹)u?)a%kÂhq–âɞʡćñd²ßÑ'Np7›£Lëä—ÏXµ®Æ]ô˜ÞÍXõrã¹ÝàLÉ3øn}ú‰îù·Ÿv‚ã^ÈÆÍÄôËä`ÂNHiRü«_J,ef"êÑ=0GT:ïVñç`%2Èîµ¢±Ý¬h–$™šæLÑÖíãÿ#Æ›¡ÈP‰¡kåÊ3Ø«QîC†ÉT&"þÜÕwEzEØþ.%J„úRÐþŒ`ó‘«ir`¤>pÙ·z#ëßtD@%V´ˆþ#kÎ9^+ª¨n¯ñéU“štiZÛaMbTÍÒÄw0SÚy€TŠ,ôyÙ584Fò•ã—_]qWì2M;ÂMO#:GX±• ˜ª&*P÷™†?ª8‚O•Ž(ärX## *3…:ø.󮔸¬¿4žÐ ,­—*sM´•t~»Öʧ´¶“-0ÊÇæ¬ ,^:‡»#ôÛUö¤í8{¿`öXCzè>Û8ßq}ʧFÆp;+ö–Ǩ²-Ãëè ’sÙq\™±éÍÄ™®0cÛ‡êÆZþl[Tz€ä˜UÆ uï雲w_ƒñ_øÀ¥N‘tŒ’Æ'*{ÙoRËŠ– Fß üÅÔVU›õ¤H­jM“½r[s±l÷¥k·à—¢k‚B´Ò}å<âÎͧÌ8–3±ÒÀØÛ3RDVlC¿Õe··&ß.C3¥ÃxÚÑuQÊ Ò?u¦úáv$A¨ôšv2ŽG(íBóhì°—J0¥‚ëkQŠp5Ò$Û& ä›—ÈBÜžÏúIRÔŸÖŠ$sì¨4›çx#ÿ/¢ä_Ã5-..+Ú]òô}Û(!×Åҭѳ¹L§g×â’¾qÍh†]:¢B­X›¹ùP™4¬]Τ0¦"ㄺ ôô—HN¨U3Ë~Ùþñ eØœcÊDnR?{})\ cÞ}¦YÚbh×’ gi´H´ÖðÌÖ€%\Ú9ƒÊ\ ¶lße€Mr" kÌ9 `ˆÌ¹×Z4¾‹4`çô³‡ä°GÅwÿjgÝŸ7y8 µÞ(íÀæ}hÀP[6ON ¼S[£¬üÊ/baî É°0•z`O'ÊÇœ¯,Ù‰nyÝQÞ"Ñe¢êkÇ¡ùD’Ç>$®x£NMñ\#Äd)¾ÖÐÁˆ=©·[å®ê,ß÷Ž£W#wÀ„3/è ‰rfc>ÁÙ”­1ï¢|ñá‹5¾€miódBlÛpŒmè¤àßÒÐÌ’mFª-Nè]‘NúïÅÇÅá"Q >ëJNå£9e®ÿr,à&#VÝ“hüõ¶ øx¶Rˆ¾¿ä7_çØc^ŠhÍ¡¨›¬O\¢ÂJÀÞ¹ˆ}åÓJ~+dObµ“ÜhiÛž0Á|A»Í´1ù'ú¾V‚9Ý \µ¹"µEæY]Ì™yßÊ¢”)ø:œ)Ÿ0¡ÊØ•–¦j$l©»v•†¹X I,Z(mosçɱyâX ú¾ ±fh–?O#}Ö.²$[k$æðMGßRƨÒK^v¼çdŒ?¸êˆKVwC)A¹”U:F±kLz :~,’âöÿ%3Ò.WyëÑ‚>>JKŠmt nµ‘ú pµ@ R„v´f`e‹u¨¡¶t®¢:‚œOzã•Å“zç?œ~+´DðsL|¦Ø.ÕÔùBÒpÃdFƒ‘Un7¹Î‰o黦j$n4 3•È-R-ŸÎ0"Õ0["ÛAVmZ;³çÛq—’v?‹X‘šnø Ta‰•px›©f ¾d§òC»½O¤ñ…dƒe¸ü‹¿0ûp2¥W^X!ÖØ{¼T=C]²¤8üßüöAøí®­j èÑÎ!9zœ¼…×CCx i°‹lð‰Ã¥sDFmíÜÞGR´i_™QÚ·î8jÃHO|¾F¦¿;ö³rÉé g2Cè§æËUR¹„­–=”òMªSkÔe²/o+?ŸeÐnlÓÿR('9!ÛmÓ ôÉW>aI9É N_qDEÛþ +¥phæPà|…cxÚfñ¾²q@0ådeÿ7×Ï^ä·ÜÎ[ST<[/ȶ—P^'èáî ˘1õ0Ï ú<ò^6 åb8È]Yñ^® ’RÆ5|¹ò¿|/$åñ|ìp:@n[:3´õr¹M˜··3ºŒû6 .·…Š\¥Í»º>B9¤-Ò§"ž`-ðŸØŽ!iEΦcüh ‰õ·fáXÏ+ú\,Ú#jÒuAtþ•AïéüEð—˜ õ2Õ…»â®y¿2u);²û'úÙg‚TÀqÆ!Cè²ÿhñ¶kKu"ÇqRsÒÌ3 “;u8¡Íc¬™£¿ÿxnŧø‹gKCézþ<Ç͈뺢ÂÅ®ñîDózt¾Ÿ¾´B¸ÂÆæÆ~†\ÒLéC”|4«DõB—+]EÞxf¹é©X4›•ÅZîys-À ?¡‘OòaÕ4DT5†ˆXŒöþf¦GÆ–vlŽĤ-€YEAé>5`ûm;2 #Å€¤qš`Y©â*é¼Ì¶©Ü»j€ „r`™µøŽgDMv”Mž_`þvO-E1pÿåf¢0¸~Ÿðç¯%^?êãLú§Ž.d]© 5$ÍÎç:f¡ÜcÔ`6,pêlq`lTçìZ§]ÿ•‚unK¯kÚwO‹Ôv¤c¬ò¹žSìj¸FðøRVÁòdŽœ{Š£ª–S°j±BÛå³Baîy¢%‘”kêŽzϺΠÆc&}\†~͈¤.ð;Ó?Œš—ÑòµtJ亮û‹“áß2ÜY"-0K*ǃmÛP}zóhœânð©äÖƒxÛç]udV„ñ«žû:O9½äÉ»¤‰L:¦í÷r‹.xúÁ\pLAæ5öÜ©nh¢ÄúGÏv”³Æ»v¨g¨, §ük÷ÄÏF´×ÍMÙÓå¸Áª{2üè•(¡ŒiÑO[ ¶M3îLþYî 6¢û+U£¥P0ÿ ½¬A©r\ÍÄèúÎÏ ê5íÚ*Á ­9ŽÇ)®Ô°×é(§þPq‘Î;Õ¸¸²×¤(¹'w3³ŒF¡_íª3þ¤fpö6Káßb¯¬åž>õ•>Ò‹úÂO…ŠÆ$˜˜Þ†ýˆ3$ÙÔóq!ÌÑGÅA:@µgÜfGVéêÁYÒ婺ZxðSU¯+ ÐìRÝHdÌ`˘©…pü˜ˆÆÃvHò­e¼bcj š '+`˜Ü[hDYÁ >Ïä2+ F„•0¬+LòúT`Zcxu©dHÓU&Ñ&û×ïÿ$ÈxRcµ7D¹z¸‡m#þEfKÇ5”˜à bFÚêi8m]Ýêäü¾ š.æ$0 lxWŒk@¾Åµ‰O iA¯+mš¦ì“¸¡P¹Z¤SiwöÚ=Útk9øÔ¦›Ê’Õ¤çjn‹7fÒÊÞ‹bÿÆeqë×üeñ’†°Zê»y6oËaˆ´ûôŽ^¦?W9Ã<ýÍ´6.pR8̤®xÝÿ¡iô¬…mªÂwÿÀiM cI%ÄîÖN;xFä†Á!õ2ð‚ŽÂ½‰AS—™„8¯\ûaâDêô8DÆ/sZT DjDuÀ73HnFMÑ­ô*ÏÃ9^®{,EÕg#Äú`®IæÚøžÝù=²¥¥ýáŒ;¿€ìM ‰Ý_®5õ$7D}ÊTÛÈßuƒ ‰›FŒaÛ/ìsÃgÌp=,kdšúÍÄÚÖãZk£r?ñrh¥Ôd-5Ç4C Œw‘/Éý³ŠdêZ]#ŠÆ¬GÛ¾à×ðÔ®†¤Œn¢6J"w{*{¡#…í㪿¤‰ýÿŸÆ¤!ÄgLi³høKŽ•y0èݸ£Ü•S[d©%<Æèb(z( A㪉º5}ên¡HÑHk¶/GëªÖý¦LÊ“£Û¨È=,dÇk”ô3Ms)åÎÈ Ï×"zèJ$se‹âA¶€w3èÀ7µ3<ôNk½)F•æ˜5n5ÅSÈsô"¥ 4^h=Nv‚_¥2ì—Qqý›âi3é—yOÚóXU½HéK`F¬TÑe{ ´×ZJ•à,ò2ø?®ï"æ´‘tVŸ$K] D½„]×Ñþeµ$ÑšÞ²aíf’sx×5ʸêUrìŽoL³ãTþ(Q㮓¦Ä{—Zsèl&#£ƒá‚æé{9ß›™8Þ£QÉfbUŸJÜâô |­" õFµ‘õŽ±¯Ù¸ ÆÈ‘M#ª†¼?qàBÛ0à¤/ŽšhKÄÅ ÷ItÌË¿¿Âß´SŽÓ¥p\–ÀâþÑkä%n¶«gŠ¶šaËî¥j‚ò²õh?O&eIò6)qÏÊnì€rh­°,u-råVô–“¸ÿá175Hn0â ‘b÷˜dšb6VÄÔôš%Š8©p¯Ë¨.\©)`©é/aöMŽÏ{ ðý—¿Ðµ t=6úSOßõ—mW54¹ÆuÚ –бÃêMb4Þ´6 ½l³ È—®ÙR¸?iHN‹æÄëãâ4É 4NÅaÚWÊNdÁqV˜cÇfzö©žÇ€cZh§“©)5j³©í´«£)ðoþ’uŠÂzõCŸ·Ôpê‹‹ˆæ"{GÆ:¾/KÈ o~~Wç•O. ®Rñ„‚Tí”m;f|ô&k'ùÏ;JW‰ Â+;A’ê–ôiÂÀÚEäu•ä"¦ÉÉ|I®‚11ýôU5ÕÝÖc)U†hÀ„¡å€3Àíò7_þ®@s‰oÒ›ªMAúwyŸƒw210x0øGÈ܇ÿæ£p~é¨ØÊ¿1mñŒÞZxf@R¤©6òGL(þòQ8©#‰óo:š°5}— X y…ñfí°D*uÝO3Á¬hµZ1 –(„±&óãeëPö'»z¨ÉÁ¦‘ï”W¼ˆ( íásÒ`ÖiÏ-‚»NDN ±§ßº´íªI5Fî…•±)Q;S©,Vô:š”ìØÒê—%öVâp f¬å46#ÅUîrYŠ¨Œº5â,ò…PõH‹ ¾)fǺÑ!²á"g—BŽ=0CÄÃÍe>ˆ˜)"qMÒúsŒƒIrz“9¥1¤øž16·#’Ϭk;•v\Ú€m,Á1‹A/Ó1­]9­§rÐŒ¥ VåÁwDmÙa×}J_f]ZÁ)(™h"ƒ‰¯è‰‘à´&G¥†¤¾ÅnúPHRk†Ú%Í®QW+€4´_ëVܼ‹–Î5wE[J#™žŠäÝ©}ú\zÚ,äâùÄæ¨Í4R½¤I´eQ,Á^ ¥¬mÎú§³¶Ž,0^Y„^öÔ ¶oñµ‘$ADõu ­Üؤqæh_ –%þI<ïî!+©á@ö{Þ³$Éß ,jHœHfBÉ;hœ%‘> xõ#dÓV[g=xCB mÝå‘ÎnåJ®¹œ5Þ;Z:KJÕÓ&ë6 ¡s:vƪ•Âƒgm‰l¾k‘º­1³šú3¶,¬ÞåY©ãÌ­-vü|88BÚƒ˜‘ÖÓô÷¼æ˜îC{¹¨/ù!úÕDçcö£(¾y2׃|ìÂÛö-ðéÆ235Ó'txñ@#êªx—Ì~L›ãTLòø„1éôáìßø¸¢LúvW/¥¯,Þk["¸Õí@ôòÉîOSõ¶ø“¼–¥#ödˆº;Á®MÓùrw"0Fè…ÇjhZ#"ž‰r$”˜+ ”´ 0B—B¢Úb à Ú`­ü}iGq¢Ýpz-êš"bä­l»Aœô¹Ç˜‘ØS c3ùÚŒogô3Úé]þ”îÄÇjEiË›Ìâ4¥×œ¨ è•4°“zã)0)di:1 6óÿ=±*”þuðK΢|oŠ¥)"˜Î Ï9¥æ8àÇÅXì’F8ÑpQ|ÿ?ipM 2(U*ðÍÔ÷À ™˜c#6AgbƒA3K-Cϱûuœ²Hb!._$˜;‚ïÌk.Ë Ên×F‡.Lñ@7´×½3´JèÍŽÚæõº„ÚiP¿–zìVŠX¹Ìœý®‘Zû=&ÐÚSþêšâEšÄ«sƒÅóÒ ¸À÷Q<‰ò£“åðF›GGš-‹FÏC`ù“†ôNöû&s¨gã†C2v€+”æ6xº=ms0¯Ãèû¼Ÿi”)Ú(^—x‹×uyÓr„dò´¾íhÏøµð5²ªÑ·—ÞüD»„,?Ö1[¼Bñ&¥$ù_Ú!Âzo×1綬 l© hvTGƒ»« úØOœf¢àkªŠÓ f¶J‘³Ä;.®<´qì,ÚqŠ‰…éE\_ˆfHßE]SÆÊ_i„·x:ò¯Ò`¸÷º)¥è3 ÔýÊ`4ºS5¶Ç¦æ@ÑñRM»&ˆË"ùD7\é±Yv)Hâ3Ï¥€a•]ØbfOÇɘ¦§­íÂqõˆ.;÷ ‹ÀVj[Ù14póinS¤!VjŒÈ²Tûžûýè­û‘¡½2Dòha ÙÄ–qÜ$ÀR•3T ´HþóM¨£ìÄÑù”"QV—ƒd>Ô¥f$‰†Ôð™øMo!Þñ¥W“¬«¸l;µ3¹¹ÓŠ-§fY äÑRÂ3f…”@'=ÅÛ҅нÑ'¢qøIV©:¿ºì®Š'µÈ¹ä‰Rk½èi‡Érš¡‡ê™ÆÕ½Olš'tà–´*K?·ºIµ”Ä7 ÁÉ/ìIÂK¸é‘êÄ€à¸ò¼ß€·äqF[çLUy#a*llO„ñi€¦©«=õ¤;àî.9™-}}8ºìÙ—çüeJ^Ð3k\8Ž"M½^˜Eôj~!™¨þb`±Õó™4™ÜϽ¬¦1ƒR*‚7]”¤3`²5+j,xú©Ó)©ÐqJGí3Ok<Â`¤Ø~ÊR¾´ŒÒü,\³½‡¥A`à8Á9ÜŠ-ü¢á¹î™ßD&bc‘ŽÝ°¬¼.‚à:WBúN­w…Ý"Qß©:#am[7ºÜ‘wR4ôOJ8ß·=…nÈÙgyÀÛ¥ÄýAhÆFO’+’¿QÏæÇw’ñ¾ËˆÎå寒ù3[·u*ìvøÝ  u(W* {˜õµpÂi!~VôU¬ÝÀÿ´+ÎkFå)z’Zc Pÿ¹‘jž~@š3uÒ–BùyôRmFÞ¶¨—³£ɧ ï!aËÐB}*«\'ö¡+Eä)ÛOÑåD~»ž¾?¿×)î\ð¿ú( u²+/P.¢êÕzÑ©ÖÎ+;hä]Þø"ªåJniª¬”ÿ8‹vUÒ’/4}ú>jÞô4¤„öM–=OlÌ<) L¸)pHsÔí¶C^z%]t¿i]%ç5OܲËF–×¼äé/H2¨{·}Yk!‡–0º6½–ûˆ¦€VŸA'oY=…5Ï<›‚9Ùq×SXqÇœÃLÙQñ<½)ø;\:!™ós˜û@0häO˜ì°Ïeqˆ+‘÷IçâFgÔ¡}¶Wp‹Ë¦{Šq&D©xo¤Œ½|I'çÐè˜ítÁ1²âÇž’ÙsaMû(žC¸"if‚¾ùã²ø0eG  Ÿ¨otÛËµÒ µ¯7f-’¤¦{É¥e‰«Ië»ÁÞÿZ°+£ä|“$r-õàÐ#”ÕYYØ“ˆˆG4¬ýìûÜ?ɪtŸ™¨¶PvÀ¸£b£xËšôûMþ„¯²é0UÖ%Îb|Š§Mà’gXQ;ê†'êÂÂÀÑŠ”GRµ*×P_Ü…ò1±ùô’t…$ŒeJõÆšª,'aÅy‚§‘d<Ÿw(2 i7_Ûp ä¡®C÷~MÔŸÄôþ© ÿXÀ A²®åvÞ¨©•+])Ô ²\Õ*a¾ó,ƒS)ó “¾±)à_°UYÀ)Ö,Öãû² - ²< Ä@@kÍ Í†FÔLÖ1KK¢£éÕª,A”8nxMÒŽNí‚vøͺÄ"„@âÅì2bK²í©®N£G’^Gt+>°»†É²=í-ó°þ¶QÓør™êA½,Ë.l8÷Á±P®’\wÊÖƒM]ËqäZõFÑø¿²Sé—#r3·H€œii]|à¸teã7KE‹Þf!Äô050Ò][¡h&Å¾É üX€»Íóî8^kÓŸé{@=ÕF÷ ½çãqÔ¥ÛÀ3ã&cðµý´®k’1\ö+Щ_¦_xϳÏïšþ {ò'÷À ZŽqˆöc†÷UÇ e¹ ýW ñ0yn©1‰ü¤á’«„A^rÇ°Ž¤¹K¬r `rÝ'Ý!îmƒº<ëâ2_ôü®øÔ°¡ Ü*þ‰º~¯ R:hr¦fü%°qðwÅŸÿ&ºe¦rv™©5Pç0’¨Oê{½L vÔ Q¦V²Z0îX9^eÌc»Zsqxà¸ë\mfàêÙùÎV"uíºkèlª.ÚP|ÀÒÒüm€…˜á,2/œó—Bp×.¬vÐÕÒ Ìà—ŒBä!—[¼<µÙ&Íü([ˆžñ¬6Õ´W¾!VTŽȶRµîyˆÁ‚Õã€Dñžì Ö;3Êšÿ)ýF /œz(P ®œYW[W›˜wí"íwxÃ%ö45îÓ÷¼Qtt}‹k]ñ–P!…6•¹B0¢M HÞâË7°µ»°Qj5W)¡™oÃÆß8ÿ@ÉÓî ^XŽ ºáò -wʺñ]•ÆÆë ëaÂ6¹.s9ŒÂŸUf¡EI“©ÅÎÐLtÊ•‡“±J5¶>[lÍgO­N„A«™ T¾2¹‹õ‚§žÆYZ‚MÂOhÒ#?O‡j춢ã‰ûsQ®À7a¿ÔÛÎe¬)L#4]ŠT™6•º“±ž Þ©B'slF2Çy—E$^­ˆ'bô/yfϼðoÑn;ÚضAµ‰1‰~a¬Ï3·Li·"xþÏòÕµ;^h_Úz.6Hb!Ÿ”^‰Ù­o#Õí©Ñ®ñʆÃþÇuí›RÜ“jÈ‹¯íüH¶Ë¤‡sLIégüΆ—U™¥gþv‘C$Úé™âºGÎ0nǶ°´Ê‘†!,ß@ Ìïqµ`z´G$BHªg2Üݧ¯OJÊ©ž‰šu«&#H©#ÙhPšã!@ñ´û7ËáÄŠá—!,t!Œ¸êGí\sd8Ž ¾T¢/}af Ï´•3òo'|ËøœP'H׎†5PíÈ• UËŠ=3QŸD %­À4x¯Úžuñ%_l XÝɲÚàhøÕäóÜJ˜PÙ„Óç(˜(â4 @- l˹tfxf+Ã¥þ-mqô\úv“Î|éul[C™OMB÷é)—·ó˜ñUÕêtWƒJ‡´mtüG\%œÒ.X¯eAöIÏ&çŒ)†ªˆê¸&9¸Žÿœ#5Ò,†I›¢G ‹þ³!‹ Ïl£³ìà8 £¼A” cê»R*t„$»#ËŒ~¬ÛuéÁjÞŠZtˆ;if¾£cø®÷é1Ï­¸Ám£’|/_ÙzäJ&;«PX§¿ ^㟮œƒá |ÍóTä‹ø;)'J5¾&Ò¾$«ÌoB£ÕênNm4ÊŒ$5s™éu?4%Ý´`.Ôóܯ›¼Y¢®^ÖfQ÷B“ƒ‰ZVúqD݆ÌÚJ´ëØP X,è74Hr0ц qÂûûòÈoM‡åŽŒÂŸ(ˆ±I'vyTìÁs­L2^r£&Ŷy”;žÌ0_þÜÕ5wÅK‘‹1‹™ú“®mŠæ1ÉQ·íIåÀ=ãkÏ`醶<‡™Âq½úëYËmÓˆÒ!Žó¶Ò½ÇaV#c®z½F¬G¹ÈÓïzzÌŸ‚Û“¶Ú©2É?H@KþYŒO­Z‘j|'2¶LÝNÑ*$¯Gö“‰µø'ï s‚MdZ›Ì‘oêa—Dõ@Þ¦°D2GRfS/{âUúªÇq|,A‹#3Û8ÒP•¸3#"ȳN›Rzßçð#À;m}ƒHùâí\ ß]à½F½ÛÚÚ•Ñ•‰-jõioà‰˜%ŸNz§¼°_úÅžÂ~صvå…ö}Ó®þÀ–$ŠhA8ûzÑéU*m)»#P`Ýr”¸8ÆÒàÐœU3ÿßQàqœ˜ð>Ýÿ †‘œPu=0eñ§ï¾û^´& hFä¤1±´Ñãu‘)CKb^hô@“ÒDGЈ])%7áÙ¿‹uËÍ°Ø1?uf„ª¢'´$èpx;(ÍÂXùéj{¢ºŸ(EâàÄn&DlPb ²ó¸nDè Ñh„HÑ$u-ÓhDúÁœT41™-γ¤­ÜÈyoD`ÌŸ«uÿBª0nÿië©;ܸNº©s»aø%/xÞº“°{!pc ^Yæ†ü§×WÂ5Ì-8ér¤bCƒçˆOÔ@%GöZ¢@âŸD†­Ž4ÇF$s}â¤Lq/ÔÙKožú)ÕêË‚ºlVúùtdÄÚô OüVŸž»6SF‹\T”RÊC'+•ˆ¢Œbê#ݸ@ÏME—½Z®–` äóJOL©$6â¼ D¸Yú‹/=`E%E\v¢Ã¾töØì'‹Fz­´LÓä Yjdþr$W½”GÁêºÒ:¡¡{íÓÂz“QS¤×mÁ˜Í݆ÜD­6 Å;ÓŠöY¤û„«= ø «Ç+÷eÏÅ¡e9'l±ë’˹|€ri(œ™.ù[£9 ÎU­å:Cd¤ÖW2¤È@÷ƒHž* œ÷dáò!‚KkÝí"äg‰Ê»„ g×Úüÿ»_­¶˜G·.%“nÆÿXž¶ÑÁ|…vVTeJ)ft#w1Ú.e¢*v—¢:‘ͬ\‡*‡íï1Òl¦BŽBUÀLæSPÔ4Eo‘®¦'z*NIhžÖÈ[.kÂÎ)(î몒`ÂÔ_R&t KëHúB‰ì08FF-lV–ðŠg’æ)p±IÑðNUAÏ´ =§k`AðH×?:Jñ8æe·Š†¾K«%¶íãÂŽ9á0Æø\ñÄ™:2J 9ÉQ9†„¤A*U÷»³x ÀÕÑ̺q (½´¸iR,I7šÔv”b2¯{: ®u™AwÍs¶»á´9‹ñÜÖcÕ;c˜áPEšÞ“‘{Ê'~z„ š|ÎÜðŽ!VÐrã–÷­gᔸ"ADAl!cpeÞC€N’jù&p|Ü–‚‡[OñÃÁGžÛáµ[“Ô TiFüŠ¡Ü͉Ñ7‡¶¶Ã9û‹Ÿ¦DÓÿd@>9küÿ·3UvX~í\—Ê=ü ` kí*R¥ÀÊoV[¦˜?ÔÍåºÒM﻾ãâ)ò‘©¹ÀŒk‡øÌÖ3!u39“šÆ.ÿTöô ‰2Å4=Õi—‚¦2j± ÒZ‹¥9Q¥± »²¾ÿ ýCòV«Æp¸†>Þ5ÇèFîVŹQ]ƒYò¶ÄÞDUùö!Í9F.Ü3Ôà…Œ*Ûm¾ƒæ·âà¹Ús#@vÀYy6Ñúˆ¶R;-®>GPž/sŒ:hhwblÌ=“ÌFµ¶[b¦r*]k+¤Ž´±WÛc=meºÖX¨Ze¦K;íÒÈM1Á›F·ícD‘–d¦Rc©uMb_¢† ¢8‚á ihBž"^+î8¡?Ÿƒa³$sÂ*G4ÔMÜJ¯s›DÄ™$Í‘’Ëzê&«ÚLT]üíÿwAhô{L ƒ2G(Ñi‡Rš*‹®±yáhC­,Ë”Bø)Õ¸¶l;q%×ß©¾¦ãZ8<çÃ¥<ß;r÷Ñ‚«²‚‹W[W\Á6}GvÑît½Ðž‡@S£pPlðEñ¢T‹ð=@“ZêSÏï½Æ?²pç:<Šÿc zmáÔ ­ï©m­gÊÅƺBcªXtñ‚i,§Ñ*¾î~ðÖEÐ6s$Ðálí¸v`E_1•­Ä7NNTD5f©®Döïf#FbÊßéâ_)˜øÀžAXÆæ$iÃß:ÒÓRÊxƒ(ÓŠ´÷¡ 4Æ«®=õˆª' OPhvsý…Nz$©¦¥AõÝ´4iWéP¥r†ƒH8bo‚ gNt>¡M%­ûOÁkã`^ð—2oÔS@~Ù*®Å L“”+Lqp¿DÅ¢™âÓê’v‰…¢ cÐÁ[#Þ„3]Zw´ §Ò8_N{h±gÑ0fS:J”9ꉎ¼üe*\ŠR=+m?wéç¸W­Xþ·ìDO™\'­ÛŽ6¢¦ø> ¶#4ÿÅÝf?!È^sÝ/|s‰é‡'FÄÁÞÙ á±.µj–ç'¹Ÿ8ê\ #0´É¯¼ €\3Óô÷-à*|ÃɲËÏ ÛÈ·háÐþ ®ä`G¢FŒ°)¢“_ûc]Òü0E×u7¦Å^sÙïW¶9Õ¨Òv¨<©jF'a…sÁÜ¢ªF-fd¿ŽD¿ðÍGãô…ø%'}kS5 "ªø•¦2Z‚ïÎQÁ"ðãN’»Ü_×aè1ï5WÌ}ú^²?ÞýóZ‹Ø@’ßjpíA›š;4 Üá]¬Ââ>N÷‰¸‡Wp‰ø½ ï"S! ´ ¼÷ˆ´êÓIÇÿxÆ:¶@@;YÄÝ”´ûžº:(¬"bDªq×: Õƽ™Ú“¸~Ýóœ‹ÖáÓ‡ä?-*g Uµ²ÒÉQªÅç¶òEE½èäbäkW?ÔÀ@ l»©¨² ¼J@¥½¦³e!"µ*¶zÑ™§PRujä\u$”Uˆ#Ð5}ŸÜ¨È°ã¢âzÌ¢cWcŠS.AVÈ?„‘þp‹ü$ÎV‚ÕaÔµÜ?@…©©#–ãz³LüR¡vVÓ 9½3Üs \Î4<–“K\©gsWÛø¥nò6 =PJ§–íé»Ñ"w¤…A ŒE__rÁq3Ôš64à;>ÁA *¼ I*"»ƒþF[çe™•ž»ˆ gó¶ï u¼Ý-ÛÓÍêÍ¥%àz ÂkY÷D[ÇáZä=i.pê•úОuR“üYæZ`V*³`èO³9ûòª¿ …‡ÄÜjiÍ7ˆÊ0ÅfªÎDŠžpy5$—ÕÐL}z@»uz“F*‡‡‹â’€y…Œ¯W[¹œrFëï IÍ@­ð¿_c`DWôG7ÕzZþÈ!×G¢ ®©Jê§Lš Ëx3Ò3£¬P׶æ½ÐŒz)3(ÁéM$2 L™»Ü™Xê^i$… …«P˜ —¯mš#Ó†ÍþÁr9žøÀ;ýçïŠjå>ø³²{ßõ•'n(i\8šN†XüÙ— ‡è;Zm%œ2ÃŒ˜5]ª¢,»…‘Õ¿FAØ´*›yIËk$˜bW€ ‹ûVœÑ—£6§©BЦÁ1Ð Âî²£ÚI]Z¹çˆe2T;ÒU›·xÅ“hlžˆ L2 Ÿ%_ùú ƒñh꙯ÅûL º2M2×±mÿ†)̽×S±÷™FGsëâDª¤3ª”ÔæÂ;Ä^Åé{LG\m[¢ò'”&ð®ˆÙÚ8w®øM/Z¬iúþ|ßJ–gò„„UïIHŒÒÙؽé¨ÿy¼ý-ÇXÎæ¤íÒ[þKÍ7^ CKƒèÛ¡92à ëÙ}¡=R\( {©=›ÊŽ_eʾ@’²±”Ð &¨‘͓֚}Ó½àAkóNtsT´qe¹ò»t Ýå Tc”aù( H bzZš{S†þÉ$7BïH¶°ùÍ|¥¸FÙ× »'̲K6´–*yWšs(o(Ç]³!§ídYzìt`Çî²_#àÛ@ÿmÏõDÓ^Б*<&½ c»ØÙ@nNÜ>$XyI÷Ç×þ²Ø„>@wg„×]îÛ¦?×r«Ö4˲càk¤É÷`b<ëy§s ƒÈyÕñá™iÛŽ‘¸¿-:Í69ýŒ ÑÍ'ý›sôJcn°¶’yDˆò°MÿÞ{Hú²°£ ;ÐGþ˜¾^a`kâ°=†Æ-£¦ÙtUMÖK¢¿VÍdf꬗–a™M©²±bª€vñ4Ô7+^Û˜9Ð'mm‡C›½Ë>ßV¢°ú—‡ÒÖKL‡uçú}æ4ìºé÷dS÷ŸªüœáezîQ¦ÑcÄ.v#’_Îæðò âʺ}KÖ \Zx-â#êÒöºûØ…>õ~\™=Û˜^ÔPàåõYYöœ:ý¨xIRó Ñ9)eójltdª¤ ÝdÄ((Þ!H¥ùûŸ{D4hÀ:%䃔Ë;þ7Ÿ›lØ)K컑1ºZÌÑ»’õ\Íh({%Ôÿ…ÄóôLɸ*9o«lqê¹bY}ÿ¹çÖ¨˜wácpÃ<Äy»þßÿþx([Ýht’^ì¢'?Isø†'mC÷B4k' +ëYò¶oyš 6*+uuÅ3Q²"tá¡» ×8Ü™ÖÁÊéÕ©:ÁÍHº0‰}[ c”+E>´ôÈd¾÷?˜™RÊ ýrÏyÂ?zⳑþDZ„œÚ­æèÔPÄD*Ä!¨$rû‘Cä®9t +é8k»Yô}éØÖW¼¦u»p¥Æ~/¶2lß M£i¥ÙëŽhð–†q;‚í_»UY¯Pb Qzo¬ž-jYËGHKÒN)ÁÑy<¹nÒ$ø³Ö°bG{€H„¸®¦E"¡izÆŸÔà@ºažš”˜-WùÈÔ˜6 ‹X QJÆâíÊñ‰ªŠe7GððxÖ•'ñ¶xAFÅG4 S;TÖ‹Qt¢µÅ C"‡®ÇÀ_/ÆzÒ¢Ô°$jR?ÛâåT+6>²-:ÂÍÞ4š@ºÅMN»‚dèI¥…¸Òé¼£åتO‰¡Ñ¥´Å\k‚ªRj]¥!o9tS4âkYb‚æ@k†¹rØB¥gd/-PEM +Ô‚K0Md%ÃUw·eØ¢%üŸt $Ô_¥dyzÄ{.)ãÅŽÔß÷$¯Î…þüžäÆ­2}‹ËŽ”§èúv ý–&¥#‰…ÁÑÞt¢¼IŸâï`ÆtþÈf_ÞÄ8/Úä—¤gâ´î•ü¹?€~ªNTñZWÇò*jgo´ºmº;>—¶îþøÚN[ëË0¢î´1(a^/ì1“óÛ|7ýìælŸÅïÌ)­nš¯kuŒ¤’Vf2Òܪ€;dŠy×Õb Æ”=-Ôr«¶ù÷[\ -„K÷ân‰Š'ˆD‹ó¬‚î˜p¯í&h¡F4UP37©UÊÇöv²ÿ÷n‚ÆÀÑç([ R{¤·†3ÙMì uÚÌŠ“”Ô~${J &½ Ê„æçˆWéΤ²ôÍP_uAC£_íÚõôØuÄšð‰*Dˆó KËþÇ»6• ÿý®h¢#`ecž4Å›¡ª9íf¦’JH?Š¤Ày¸ü)®幞³ï6]›’‘!y=¬m7嚈Ëï!KŸó,ñ¢ƒ%­þ(|ˆ„‡/™°Gû7J=öàKÈ„‘YÊô°&„Ë브q2ô¶ç L=òèâ³ÀÐôpdÜ•V¾ÎÁOå64‹¯ýQØî™ÂëHšçâ³°ŒõÜ-W¸%°HZ3î’ÿÔFô‡!ÅUÓÂ2—DGp*náDÍ '_öô'µI! ¡ñ¶ZŽd”â—]Öt¼âi/tme¨£¾¬`÷Ì,Ž!°Ã¯{ò5ÞÖ¥@æ¾ê9{µ%QxÖ$⥥ØQ'À½Î5\ϯníJó¬ßá;$Kò Gfø‘Ikç$÷¥´fYWb¦Ø<íÊ,¢œ¹ÍʇlrSŠB˘pHªXé×» ÃÖ•Y }9­±éNUŒè§y­&šâhvqB¶²«(`.Gs5B2î1bÅüÀ90ðbOŠǤˆ$c"`VH NQá·vòŠrv/ÄîüP%†cbŽÏkÝJh˜o=þ_ø ˜€ÊuwsxŠ¹žçP2®ýÌ–-$Ö#zµR˧]÷-H'å?#·5¨V›¸E$FTåFzÛ‰:Ž§ú'¸<[ÍÄv)× pÔÅ>À”ýEŒ‰Í>ZÅàcÅ ³EÙYÙÐŒ¬°;p-àaþ &~Φl„뉱EŠ/D™ÏÀaˆk:.̘ηu$®µ Óï"·(Õ0ùdùv »„?ZŸ˜…6µtnì˜xÜ‘8Zä§CÿP2õ0%_Mí¤Uñ2“¹Q2Ž\d"ËF <õ«‹þ:•“ò fM8Õý¹ó›(™0vÆ!¬R#Ë‘Ò Üê¨é®rY¢0â¬8˜Úzž¢O2*jĈ:»ÐʲŒ8ÇA¯ßBDPóÒHæ(µ‘FÀŽ‰äDØÍ•`]s¬m«U›¥;YØ=éx§rªi|‰/\í·šÄ´X=L|"¿ÖËIš†7Ñxþ0WÓÉRêÜ̳#1Ð#“Ösê^¹œÍ[aJdê!D«âˆµjD%¦ TiëQHßzd"ñB$êü~ D'Ê’öÝwß‘¸nª! uF¨šk®‘Ö! _y†~sÕpMí§³%üÄc1ƒ¾ ÍÊrÝ"€‡gè6’.ŠÍzìj×3´k8/’fŠª›Á(ü7×s¶øá—Ž3·PÞ€öÐ!,øŽ:3c£Õ"Å›ò@]¤˜×&ØC± ÂJ.«‹gЖNYÑ7ÙnC¢×²)^ÐNhÐÊǺñeGÉtnx"4ed`M’Aâ’gÉŠ+Ž¶gÚ<€ˆ©‡ªœ6&]¤½fµáÆ4ÏCy˜dA.ÍÑϨõïKçýŽmÝ°äö{GqeÚpÿç41ÐNzDˆF!ÚØ X…Ÿ!e¥‘žŠ¯š¡•U4©ÕqWÇa÷<ïä=‰-íÀdÒöM¬‘[æè5Â`Vk]Š·Ç¥í'Z¾¹#˜ìÊl/kY°&mtckqsóS§Ï¾¼å/q.¸ÐG“ùϤMÑÌã;á 0DúfJËð$Õñ –H”˜Ÿ _ï‘eI;Çy^ÇÊg¡ñ‹î·m®„»÷0Ã=Äâ -{Õ /{òÁÄH¢#ÂT™œÛ7<õGZMÇÙÄœ¿5ÏB0ÐS¢Ò÷œ7šiO2¯àÞIÿ»;ÆU/¦÷‚c d¦4!Fz³m£øêŸ@ßí¹åeÖ,N@ )–†Þ‰ÊôšäœcÕeJ>$=è¾A!º®cM­ ®ME­éÆÓ×s´ê½¹yÑÿMõÆ$…hò½æ1Ľ¤£è±Ý´í€.òh7ˆa,æ± F€TblEtÂ4 qÃV[Í•’j6fdfçŠ 8ˆOÈ×l°ÀºŽ­º¡2õ/sÖ"ç…:‘Б—#µ^Ä—0!‘ ÅF™ÆÙx! /ºˆÃ Í_—ɶõy¤’êÚá *¨Ç3@‘ÈãÚ¼y´ÒÓ7j>AT÷JOèèÕD$‰ºíVÈûfž2ÔÓ-iˆi鈴ÂF¶{¿J'ù")‹q)‘}²óÌW¢&,­N_Wð£t 9r²Áº›Õ¢è]®ù˕≗ã…§b%žöRVb¿¨»ªgÔ¿“8Íd.(>bߪ•›­x¾ ”WE„ BÍÆz”,y¨˜oý‡{‡u ´pyÙ_fU’/¢°#¯Ú!j¢ W¨¿¡0A÷ãÚÎ ]¤éBÐ-¦¢‰çKǼç ä>¬¸*6»6m{þY´„#¦áGbëWS êîXIŒ#W=\é/Sd*=®¥.Œ©… ¼ùGIhQˆ§6ÅÁ i˜YMe~ç1É (Wš#a$¬H„,]Å[Ú%ºóÂâ´]ÕÖK 'ÈlF²€1¡Éü˜€[g°äx þDêñ²ÐZü†oJš;M’­¹„±‡7\Ï£þ]ÀºM¥Â·ìIǯ²æa;Kwÿ(J'öÛê÷éýjÕ÷­_2ÛpÚ 3¼@›xfm;H› ¬Åà¤T»ä×D‹ÇN8à¨ùKšÛŸ1=Õ1€gÞ;+B€ëVMG‘D„Lœ®ž Ch g ~¢¹¬‹°–È´©TZë"3öT™D/8’)£(~‰)HK®êËL&Ҝ҄õßêÀ¼Ÿ;ãRvì¹X݃![®Ò|e c¤B¤^—ƒ9ò„siø\(—]›Z7mÅÞXI ö á j5£—¯eL‰­D™þÙ‘H%`B™!%‚̽&¨éív¢ï릫ë,Küê€#²V…áÞ£3é4…)Üɹ?Ò^µÉÄr3±ý.‘&ùZâ!©1}[ñ#ú„$N’€Ø®ô²Àè2T4à˜ $#ËJ…“ „•O^Qƒ×O y')RÜ·Û-{Î×|%jENŽŸË(ÿy‡I©ÏhˆHaßpçòp*ߪM0Çð|}šBö°Šè$ÀÉû63c“¤ÅÈ yâ@$§QúDá÷£ ÒètñZ'êÔ¤wª‹5­„››ãXQĦ˜+`ÿ%Yž:[Óñ·`üÜ]#Db¿£“å…*G °?ɨ~™Û¬¿B‹eÛ¾£Û(òÐÔ1f¥q;›_–¨ÀP:´®rª˜nõˆÄ³Íva—1Xšö$»¥nQЦ ÑÓ‘¡:ê’ 2â@öuxÔâ™w´ÔÅæÀvmñÆ"Æv¤fQpõÜ …Ðwtd¢Ú}“¹ÛZ |TˆºŠfϳãÆñ¶Däö%æ½F”g´ßcÚž3ì–¿®hë‚!”Ùpîÿq•e%Ø]iÃÑ‘å2-×{ï6 dWÐLîë3øÁ„Ý5ÐUáªBN²ûyÖÒ~§R—c".ÉCá?zô¨§2Ô5âæÊ.Ukg]ˆ½æfnR1LEýs4þYBˆrM€ä‘FSëH!O†q\Úõp@´7¥òIœ†'¤=¬su8±„=÷šoCÒÖœ-Qà'¤ð?C}Ü¢¼*xéL‹$Rd):|¯C ä Çñm×˜íš RÙ9Ç.Åï[¸ Š±"!niôÌCÎP©)=à¼c$`¯GŽÐ üÞÑÍ ÒêÞé²e@QÜæ--±NÚjSß"&÷÷♆q HwÛòHœ[5§©+®Ö¦dÝÂËÌÓƒçÊå0ók|ã2aMc˜8kõ…iË &ìBg©õî2DÒ·§në9}ó®–]eg-‰¯ïˆÝ²?£™¾¯â\¼ãiiïñBš úül¶Êˆ.[âS—U%ðOóÔ+|cšŸ­1âÁ€jëWì#DJê²zÓyÔPùƧS¡ãÕó ü yìÍ ý­þ½x"2ûy½›ÑX·”5Ëuã ²…Ïtn7Û6¦k Wº°›Ô ç˜3´¤êZ®at°åX®À'Ìš£; …9ž!ñü‘ý{Ïnp£FxëÆvGG5dV¦¡dH£øÃ/þ ±ŽOÅso¸_tI¬0Exú×u¬Ü¡†«!2a•ZZäHÓ̧²Ê€&fÚÅÐ{àu ·} ô.šf¦M%£›i ¼í®Š¦Ô§jFoŒhh#¼–àn¼æMc®cè„ihK‹07Â5 uªYmÇbD- ,ƒÄ“Œ´‹hÏ”ÿ³Ÿ¬5G×7 6¿7Åo\[’qH^à‚6½ËM] #>8PŽ¿ÛST æ“@Ú‡²…¹ñ²FÝÁì9ç¹ðú¸îÑbp_–ôÙºØKo¹ÈíÞaýŽä½jOp‹ >ü…¶£Rª‘i8º:Õg3ýÆ,˜SP0mº¨äWçÜUŒû ×Ao^ó×­BÑã„qFi‹l>ÒaÒƸ‡ìâ_H˜õ뎂"[f“êµ^ kŽr -‰…ÇJTëc:Ê”RÜ­^Ð^L§óLMÉ=Žßv¹ÏÊ„4ùÉ.#Õ|%#Ž~B'+hÈPèa·¸åÙÛf„xÎCzz ¾ä™22ú~ ±5„ÍÃ}ÛðZÖd'y neŒ^¬C¸ñK«¡ºA’ĸèJS‹*æ¾ BáÒæhnò‹‘c*4êg$gNR<ÏEÏÛ±#ݻɮNjÝ})Üš¬Nø¥§íÓZD¬ø(>a'mÖÜêP ÅôÛŒø«˜3 èkºšS#.n(C¸ý;…Û§qlu6#Àc^ þÑpäÙe“¿ òÙ£‰üçi¯¢u í¢ ‡6@…i&yGQ¦dÜÂužªM^ ¼l¢ú_°VÞtòŸ ÎÀÐ…[äÙ;¶˜6ÿów»ÉÉÖÓ\ó’ï¢É83ƒ¶i’æõ„­wRâ‡&W¡°ø2›3}|Sp$dµÆš‰ô³¹­X²ðÊöIKøOi—%MD¢þ´ÿàºÌÛ¡Î$c5ò£{þs¨dùJôW°ÙKµÝÓ_³Õ _ ¤nœ‚Z.xb„®xÊ®*‡¶œõÚ¥Jæ7¹y±oü‰üL¡À×4¤Q±ùˆN“nèB;^Õäã·I=Jþë@ˆc+Mî:nå|[54Rêv"u[#*d™ÝÐŽF€”cñMÒÁ2HÿE7Ày:BÉ!˜WqÐYÌÐ33T%m ¨˜ñà?ÑÈwÑ~r´gi•òäxfëA×LDn5îŒð  i˜yª¿Ð!Bö3¾´ƒAãßK‘Ê=”›åuעĴA\T n½æ88L¹áè¿éè\´x]™Á žeðºº^ntsI{9›“à3q€öJ±;?¼[Ùñ6‘×Åâ¿ÒìÂ4ž 1Ž{Í a) P4͆xÂ×Î?ÞéR vÕØZùÈ]u T© 8ÎèÞ/…ßcw¸Y–&Dü†Œn9zp¤³n ÇKηP‹“S×~¤+Õ 7~Ô;î“ÜDÄ “ÜÑg÷¾qj`*o1ÍCÚ×BƒõÆ#öŸL †[G£îhf³|î}˜²~n1·Ã~‚M±9NîÄï¨v>å::8LìòÁÿ‘£{°ÊÊTÜÿC;W§Ù7èÕ^=‹Æ32OyáWGýäE¾P#3I«/¨w¦š–Z¼{-ògšö,¨¸ŠØG]r8"û-HÝE9•“lå¹,ÝmÝ"4ßßÕ©ž¸'X¡)€ÐÉ×ñ(Ð`I–Y9©³52äZ£’vÐ¥J8A5§QŒÌÐrT€ÆZŒÊÝ]—19ôj@þ•0¬¤y #,ffÚLjA>Cš»àEÍ4^ß&ÊC”6__àÛ´ôép¬”Ëh=M_„ÚoÃï{"4#&ÚnЊðÞo˜ÊGÙºƒJÿ D÷¬¿d¿r_¨v=}ŒÆi>0¡Ð®ÿ»]c>?gÊÛõ]d-ãVC—) ñknƒ*á"›çGã<`OL-mž¡e6l7™äs¤ÞÅA¬ûxÑ éöèH§x{ÞlÿÞ6>,m£&Æ5CÐçv/ñæ­Zë¤UÅ-÷“]jû— 8œÃÕ–^êŽ^™¶Î¤t´Ñ'‰Ïê8qÜÀlP'Ѷwu6Uª|ªh&ÉÖm솅ð«Ýn÷£pdvª ÷AèGo¦PÅK†“ ámñ=?-‚k:„L ²Zl§<éê&C„KWåõ/qó<”æz ñsG½çló«¯ü€#«r—¿ç¼èEòEÆk“×z¿€$=û7‡$>õ$0bü§”/ˆÒ…U‘EY¹qƒÑ0LhZU3š…¤ªZÔìAšÒ¬Üeø”“æœç¥H|’Ëb£xŠ<=6ž“Τ+.߶[å~|× PÈïè[b™û‡…á*?ÞØN}£A•Y‰q?p`‚Mqò™ôÙ~R#è7¯é¼2S³ sT×Ù9ÉoÝ—Ùø)K‰ )*цhtkåá%>ßèÀ¬\̃9£‘θ Å–¿ÆU£¦P¿ÍÔ ºÇÅs.^0³•%yP‰ —®¨IqpT--òb9Õ¥£Duœ‹:‰±y—ó¬`†ËÚœ9#ûuœ×=w‹ÞÉ[fœù˜ûlZmð0ÌÎf?A¤é(9ÛoöØ%Mï5=›þ–ÀN¸—³hŸÖy¨ÏÝ•fˆ,òòììÕf¡àKoŒiã:›é–Ö‰Q9ªRlÁ@{˜kÂ`Gµ•lMÉÉ‚ýÖ¥YŠ*¼›˜nÈIjØi{3çg`FŸç¼·¨éÓöäëÞýß) Ž× ›!ÜÿΛ=3”ºÀ§ŽNq?ù/°K-{ûpVt-Ðh¿=8IÔOÌÝndõë‹JT oaHAUpW;{Û,l=ì2®×o/ôy^V•j‰Úá8u³NS9@5ýÆQQ\lÃÃ^Ó·™«¦qX¤ª:Uù±YÙèGeªpí§WÄÜçPÓzÜýÛ ®÷ü˦üŽ¾gYØŽjÆn\òhM*q®¹Vp g8kè5‹‹Å×Hï–ç•‚ż5Ç4°ïΤ–zŒ„ƒ; «ƒ®8¬—˜ºdçó‰è££åCRÛäB¿›úp˜#¿FA¦45ud’kÈÕj"iò¨;!^]ã°¥Q¡Kbl]Ë8‡q‹»ìé‡]Ó”â+2ñ‡9\H¦mK\&\¹Št 'éýtiª<.ϘørsåTÜ‚ttλÍ,a§]„>öæ•ÈéíJ ²ô¹YùlŽ´™ûA&ŵ.8êN&ß2ÅöK`ûþ ½¤‡çx>pªüY=1놧š¡Þ8Ì3¯9Ö'ŒÔ¬÷L¦ç%o¿M’ÊM¤Ç3ཇ*¶kRýÒÿÛÔ¾ ¨(aëŽÅò™Ie°îù¶ïîeÅ•’SüƒïÖAÅk‰³t) ù®œÐ7xÕCHºyOkÒ‹‘ÎzÆñz¾|ÚÍŒs@³2íòîí 4àŠöàˆ>éæDÏ„Úp Ð˜8åé0¨—eÙÍ ;.zÌ58ÓJ¿È É?’o<Õ­Î] ×#µé·.8ŒdèjgV <ÆÖÍ„>ÆTšb]Ïhú(ŠÜt`Ñþbü¹i ÕJ{)gy&ÉHt­U¤í©rjM#pLî0çH5R9 ¤EŧÌY3î2Å¥m½AL9À[…4G)¹ªÍrR>å6"aïhq 0J¤¨^g:Ð5÷» +¡LÞÏYFˆÀ´%-u€„Œ…À]8‹Êý°q@oøK¨za˶7Äw²¤ hMß%‹Úú„9ùm—GaŒ…õý–cÑRåÀ~Æ]&égéŠp!X–µ`ÒÁ›Æhyc¤<˜8BªY†Ád¯Š'&È\¹ÁaÖ²æµhagòU=•­fœõ!¤'£xUþù"k'3ÖIN>Ör^ÚR¸ïØ~éV´BØ€ÙføH$švGG wiœ£G åáR`LR&ýy¦‘œ\‹K¿Ø¹‘¨Òé?št"\¹VÍRn…X¼l¹À׎!ÅþŸ¨ $—ò%nS£ˆÂ2gËŒ† ÌY6Ëoî¦PÁþ¸ßÈyÒâÊ?£kT§IWŽ ¬‹‘b^¤îv`p X‚ka ¼ÂÜ™u…;kù çz牻‰½IöOð^™¨¹÷övaÚ`ÔǦ¼M’/=Þ'Mcœ8¿g¨Ð~‡qnÄSŸVc:J} ´¤qcôŸ)S3Z£˜ YdÕõHˆÞñH_3îéûƒôŒ—/»[\OÈþ[¹}»M]:‹we2 Æ09K²°ÓicU4 ÆÉîýkL”º%Z°5]WFmƒ¹´Œ‚6ÝÌ8uW‰Óèšä‰¢¼7$ŸŒ(#X)ôäìbÛÈèÿL1œü`€œÄÓ[ÿÏHÍ®L3“­M…}TV¶Z6®®½Ø €…+DÑCP`9°A@Öç¾[’˜ˆ'ufþ´¶˜­€ùjåÜqÿ¬¤&ÉEúËÅ|7§º ñw)Bìr⿲zõV{ªKöHu6‹*å Þ‰<]©ávÃâ"KÃF ¶,áÍA2µXšÏµIѳ—™PéZŠ^ç@ÄÁøQ:ë…sÞ_F ›Kp˜‚þ B=GUÑ£¸Šû"Ôí¼ ‚Ä游³€šb+_u)FE`êV®dWÔà™Ù&ÉäŽá·ÿ·3C)’ÒÙ]­Ê@³< o÷Ê6z>É%¥×“€¸ÅÜÂoÑ·”öß Tšç‰)¯:zÿjü˜d¤™†c*dÁ:õ†±Ææ6½&ëŽ^ùÈgѧ}Ô2Š¹èÎNÚÇ`¦oÊÔàEÜÕ}ŽrùB¶Li žÃ {ÞÓ«–3‚a»VÃNØ\‹õÆçÀVŠ­þb?æV ü¨‘λÄ,ìsô³TÐ&rž.uöÆLÓó^¢îÙj¹ZÿƒGké °k„HyÕ3jvpˆÂpK—©Æ9ÞâÙ³znGGµö<‹zÉSeöFa×" JñÜ8±e°¶ÿ‰Y<éù8v1Wªeh×mÓ ±ÅƒÛóB_M¿|Fsé rŽG´tð=/±IÝ’ÔŽäc`… ùH0}Ám¨fyímÒ†QŸc8<šÂÁÒi)â°ïoœôÎM©t5½Iv‰É¼:Å+Ð4[ï~¥sF<ô¾©¾‚vƒº‚Í«§ã´=D°yÊ@ B'-„K¯^lé:ÄÞ©¥| ¬ìwn_– ÑÏÜ×9\Ãuf•t0!& ÂúFòÛU’? pÒZSüýOùëýó?¼ ~ÿýû&¿¡&ÿØÀî}Ô³£P7†zžÅ, sZ¼®ð¤U£Vê®ÄNTôï’l¡QwPj<¦¥iU½;²‹å²hô©|@ O¿NM%1¨yí\N»¾H#Æ3݉Oe~È,$+SÁb¦Awäz%W o”|#à¼"[z‰ª¯OUÊÊ»žšÀ_4^ÎÃú}á9Σ „D˜ÁdvßÁÜZX”–Sài,"”O㦩ʷ™{â~Ûº!Ylîˆ Øa”-‚Û+쳈¹HžGRXÅ(6Ò“˜½¬ÚºKà5É’q{·Wyü]âBaÍÝp‰wV%¾¯3¾e +WÓªRȬf²esÖë„tî3†ƒ“UƒPúÁÆÔQéN|.äò!&’ÀëuQÿ½ÑêfÅÛá°›ÿxûï÷8Ž$]Ö=#‰ôV®8Fv ŽÜÌìð>çî‚V$̸³?ÝìîDw¢«+[eìþëo¼‘.²J³çœç{ž‘]&mØ7äÑrÑÃÐn%€Õ=M] D什!6~MŸ)ÎMG܈¿B’'åµ¹=;ÎâÓß`Ö}5G '$õkå¤y36÷€­¹w'0 !Ÿ¶8y$à$¡ú½Œø¢2çâT⧈*u Œ‡ ‘üÔuH6AÑ£! î‘^ñkûÆp(# û Þªw>‚._Ì(ðUªF@Â-á£Ï€ëžŒ,.ÿØ›)`õq_Ã}ö€«Ø£½ùÏ_3íÐ8ŸÇ;­OàQBé8î çÒôm“«?øEY-]U²g@sZm¶!ð@šašÕ#“mÆŸÊVÛ ß­ÇªéA‹Q„&S⥧4¸øÑ0{vî+ŸÈFAÜV¯îwD9¼ÙÎ:NVG¶OõêŠ2)I0W¨Òr1è'FÅz=Ww¡…àT‰®SUÚËÄš‘B)y•pïÏyŠ:…$ Æ„Ÿ5µ•Ñâ96© ž4SåÔÐW0<ó"P¾èk¦Àë\;„þêÚ¦›º¿}»kÔŽ4©®XÑàB¤gœe‹hN]Ð*[ åË4Š´ ]t(,%MÐöȤâTF|³£®ô¬< ä[D^Ø%Žý©š¢Ûù*«*Ž—©@Û]º^idsmš‚‡i†;†Û}´£T<ÜnÓÅ´-غB’µd :=ZÍŠ‰5ôsú?]”Œ¸ü³)=>åìûª«èÁ³#%‰¸ý48áM>$bøûcúÛ¦²°¸Jµs¨i~m6±æòJq­€¾¯LJ¿Ä¤‘žqÚ^ºiü1aê".ÀåKÁ)WI4xzZÔv¸´"hŸ«nš¾Ï£DáØ_#dPÆ\sÌ U (nFŽƒ¼šÖÅ5¼6z”ÿÚ·²ÝF¶’þ«Qæ áÛ|âÛØš_e¯Ö3Ò.´¼ ÷X{¨Ja9`ÒX£ŠY ‰q÷¢»ëªâÛèîP—4¯f²«QNK 8Ëëx¬]nOz6wq»(eÌhtÐýòåK1ÚL«x­ÇECw8mEoNá± …S-=æžC’aU¨î'Ã>Ε9)°+9èw}SÄ“àYS‘÷Zãô5L«Ô‰¨ˆ£gU ¿R½ÒSÚ§t裂¶ b&vŸQÑ.í¬¢ýtaGÑ•Mk &™É¿ñå“ü+”E¸xfÌbâïe¾Æi‚$úä,aò»œxDä{Q<1ÕD›x²«&u8®’™z‚:?Iwù"Ëž˜ùÜÎm ¼0ßà7½p~ò‘Ý­"Hç ´Ð(Hb‡Ç®p)>‰xºcb± ™ÆË.õ#®CÖÍ8-{a¸I#Þ<­.¼ù‘:íâtaIVzŒ°–F[<3˜Š#;¡%ÑÄñ¸ˆ¶#3ÒdïÒ7`ˆé'¡£¡“¼u<ºÓGÌŽ»Zw%õîX¡ü‰„ Lé“J±UÂïB§*'%â¡j6€ÈJ!ИыÓFÍÏ·@ãì*€Ô`ZLžZwÜZ×1ʇ¯cÐám\rŽ× «þøŠIx…k`/±bP ±¶ñd¤¹:Ê.NUÉ”²?ÑцŠã`ŠbMÚ"ÛðØ!îtzìZB°•BQ‰1™6@|Ó(!ûô #;¦Pòq·®Ò‡MÔ<ê´®&ÁàJ›ËÄ¢[èÈ®I!8J=gJö  û1¸þý#\ESï@©k@nËjÍ;0yWS•ã iÑ´s™íÿÜ–rG‰<®0)Qô-n8:¾óHlG›„zç©ü€tq™/\Q²*åª\ðäÒÄ3ú¢'Á….>Ÿióžé¿ÿ¥7fz¢–àâsÜ^“¼‰tšÅ(6ê+Ò%;$ªéÚë>yB]˜Êð¢#fj!¥¢Y÷ÀGTÀOW¼¤B¿wJ*?`7P¯ ð$ßze;ŸwÓ£²ƒÒš!è,,Ô}zK¯rœr&þ:mš‹ÕÄ¿&>épÕ ~­œàU±tt¤$ïHÒm&]ê‹Jý/þ}O Öä$¹hE³&ôÔ—Ä.‹/]\*¥¤& !ÃÜn»ÖOjZD'à)ÿ Øa¥¾pU´Ï˜z˜*TßJM>b*Ô3©NK®wHQ¯[ÛJa ç›XCþŽcì·Z—ΉnP]pì$Ê0ºÅ% ,uã °ŠŠErHóGfdiw“j chÍ/(êÔ¢dJ¾-VÊál¨øÒ3I‘®Ì±ò–üs2Ô²jº´°?õYç=TI¶zHJ›ÒnüNþ$¿&%^çG`…YD3½¢u°OSk I˺ʺ Còïé‹PÛ–½ÒWœa§ÓãÁÃ{"Œ.²ž,+Z¾ñ7é†Øo†-OõÅ¡Üõ@Ž11L13Èþ£^Q=FcŠÚ dqæÀ˜§BÌ—=µÄª•dRÚ öOŽ…@ñ‹]þ¢Ú&t/‰aõ†Ý¨"Z(ª1³øW@Xq¦©ý :-Ïz(n6¤cG>Aè5u‚O<ë®–ùuŠ…¸®R ëÜpÒ*a\Fƒ ²€–C=Nñ%x`¹†+{L"vÝ5.y\ߦßÜ{‡súe}®z:#+÷4®FëAv¡ pÅÅ`Ô%žŸ°K4f5ÓÐL Ä–Ó6-@@Ùx£gB &~ŠÆ»†k{e :5Ž ˜Ðî®$"×Z$È@³Ë‰úFb°1­š¦æz£Ç@\‹¶Üô—¿Šƒ°ÙÌé  ‹«pTw:‚HÀÚ„}C“fTé™’·«C”Æ ïe–bÈD„Õñ¢#¾Pƒä¹âh;ÚŒ'þíÛît"×ÁÓþ£Sé+A{pÛâv)Ôÿ¦CñÝ‘*»Æð†Y©”—K›WËQƒØŒQ vÆ!Ks‚ÏéËZF¾™©zý2ˆ%×’¾®@&]¨Ø1Ñöu†É±ÕM\6¾2‚>DE§´€>f¦è|F™ #yë‹©eŠguÚ0xŽÿþÍ÷iv"[0Ãú×WÂ5‡ÁŠà²@§#3n©¡™ £-{Þ6EÁÅO<Ñפø Z®.’DÃ;® rÖnåÔQ[æFä¿Ð4e3áÿ‘÷ZÍæ’§v³±ßÛØ}œüÄÖ3z`ÌMOtF½m%ðô°«Z]bôR.GÆÏ(ù!< Ž¬‹›„ñNBÏw%ó`Î{RŠF;IáaXôì´E´·|/aØ›EÛç݆=8V†m© <…Cjm'âŽÎRÉ¥H… "¦E;@‚ñ¿}ó7ÑT¦¦Ð"?âjœÌû˜Þía¹Œvx¬”¶ÔSñ-P it«ln¶6$z‹óµ[`n£ú¶/è‚´•/u ª'ÝÈØ>ÅS|ó¶Ò`ÿ!Оkñä?tš†SÅðsÓ§•0w äœõ¸t…rjg/°¹ãù§´ÅüöõJ3˜™ÐÔ!ÃGm‘)¾§wˆ2­Dܬ˜ƒ×½Öjõ @øÛž…ï%Ï–ªéÏ8Ïn¹²M E½s «g<ß…Þ.gÂŽà†8˜ÂÄq•‰43t1¨e°$æÆ¢&q*e‹Ž–{ñ|IâSdïq8á…Ñè)­x£Ï¹47»ÃZðó!fr)S¯D‚ÞôÔ&ºÈŽ^ t Æ+±};ê³Òä…>? ®CâÒ/X‘:°¶ÿ(i¥‡ÚÑýQ[7¿Å¸tþ·½Bž—"³KEn"©GǨפÛæJGoí´ü=1Õ ¯=FàegZGh8¢×trcd ~ÆvC–ó;x ¢¹ö „)A'’Ø£àKã·PG¤ß Y”b4q•ÏzZŠS¿ì)=Ô”ÿÈ>ߺ(E?Ã>lþO0‘îÖ­½0/Ö·8f¬tA¯ë©è>öl©„x½OO»Þˆ&½!­TÂjÜd²Çx,‘.1º%s†©»¬MË…÷óÿÿ©~ T_.vGKçeÏ¢æ›ƬµP™VFˆKžÝôv "u8?ww,ìˆ4J³ûÃÂg3ÂfJ5>9Í{)·™â btœIkÌ~݇egêþÓÍ×ûi ,8à9‹öbâ¢yè´e|Ê©¡4—0ÐE9ú#ÂIw†/bp½ð ú¢XºU±„^RÚÐøV&½æÊ›cQw„)»‡‡41CxïMV¦'߬LãÑG³¸&f8IÑ™e‹èúfnj52Њ±8éXŸ"0¼ØÙ‘^6*¥ îèbHßxÄ1$*¸Ê.ìÚ¸)ê6¿¶ƒŠ’«‰n‹Á²½¤¡NàD6ˆã©ÃÂvÊô&íx"ÊÝ·z… ©R‚VÊ«X æúnY.pÔkzÍ$øžÝÑjZ4uÚõ´âL*ÃÑÓL5›`ñ’u Îí A)Äqؘ ` OR.8 ¢¼ªì>µN}¥8S)ÉT6©*Útí1Mƒ§) \ç3JµûÛ³¾«D¬¿òù5ÆŒT,ÚŒÿË"Ÿit¬º²Ý{ÛÿNN?ëå£/À/?êbïG;™:K*ì@Ó #Õ2<`MUÑÌ0)Zz`Ió>ûJME‡yeKÀD$1šÙ’¨(·èš ¯xtF:_HïkP)õ­cõü6z°¤©Âúo´‹Òmè ãnÉ“'"ɆÞjˆ’ Å´ÂMÄÿ¯»4ç´»ÓÇéŠÍ’ÓR4®­s å¶;Ð-„‰¤ðã"P@± PÉ·ÚÔ£ j†ÛUvf†Âi Ú|bFeÀ _÷»è¡É9*^Ñö¿|æ%MDÌsfÙßñÑÄu—å›bÝ UÏh"uÍÔÔGÑ°¿†Ó8@DÚï5m¯ÅýAîô!­OÓÒ6Wë10Y'Trz³±’eÅïA×Óeð¦R jÔD¨S¨)Í8®'@÷ÙT©ã¦';@}_s ‘¿iMÿ\¥Nר]¦Æƒ=gÕ$¯9î>p&_c7‡ÆeõN"óý™™!Ïâ9‰JPü 95¥AzŸË]FMæ={œ0 H,P8a:¥+šäæøâaHpáBtŠCÝ ÙáR#ó#¦'[ž œ?a¢Ñ'ùé¶Cîê‹ÅÎ_˜RÃäù”´!#_#ÎÔÿ-µejûÍ$ÉšÖ6ÜÉX%#«žò±…À@âR.€~dên£I>=­miÇ¢ /©V˜¿)f,S§•¬‘Ò‰„bUŠü½ ÖØÖc¦8×Ãaʽú#˜4 ¢‘=Ú¢¼äW{ i]fDä×¾ígh;CKF^t¼9'g”Ì埢Ѽ¶‡\{pNŸ‹ÀRÌ€5ØáÇŒÝ}€¶˜¾¡F¥8TK—¦å»I’@èwRÓsø»x~¼¬Äç–ë´­»¯Ù7ô˜xœâJ…‚ö‚¹[®¤|UÉ Ã•æF'šEL®V#âVµ+gðA< Ø~É¢˜Ñ]]lÖ¤„ŒÒx{øjis«øY­EþøŽžÁ6¶P-ÉÛ¸xa«ZLþ‡þ Êd1]qc‰âh«‘I)°©øÁ-YüðÈù–ÄÅÀ}. ‰,ö‚VɈë™&q0™£åߟÐßI䯖–C¬ŠoÑZ™Ïí0®ŽÏûM¾Ý6ÝØD¿Ñ½~+zéíÒ&¯öEnÑÁ’$Ä´ÝرÑ]ðÿÐõ`‰dÙŠ:gNÂf¹$%b>‚Š!1«âgDŽÒÉÎó“Kç¬^˜iÔËi.YøÓ*Uw%‡«éõõ-1§¶ÂMY·Ÿ/!UŒJ<@O' n)&,­»¹‘IÂ4«9ð|PöDe…è"òú癆I-¶2:6—­W\™Ïø:øˆpûtÎW½aš8l´¿Ì'ú8·¬è¹Ô²c©ƒ¾j)yÛUHdí'À] ¬ZºjÄLbúI`¤Û‰óÆÙ0Å.iÔÊŒH’!1¹ÅVRRâM*-¦ŒÙ‘ôÞEŸ;3ŽQ-Uc5íD<œP=ÏhÛY:’‡Žð’K×VŠùuÛp¢Õd™¢FiÖ H¯OiãE"/ê‘NœSÀdÏt»JíÚÁl)餡ˆ£YÁí¾ªLñòáˇÅî ´3WÓÜhØKv0ÏÖ›Q9eòT¥K ÑB_Íôè(XLn1rÉzÇHÇt¶ÔÌÚfè(oeµÅ<§ý®éxÀ6Çå t=Û8Ðà |-H6 ª¹'…âWÇÈÐï‚"²o:¡ûA [‘_R0ÁG ‡A½ÁÄ!x¸731þíq ´Á§!ôZ »{ÖU#a7§¹ÚiÞË'$ÅY²´m ÄL-ö‡j3hM3œÈ¨–Ëà6ÅÂÎPbYöjwH‡”#Ü•HXù>}GWÚJÓKcÛꈇJ·«²G@08PcùdÚ¶Ií‚Ój£øË7ˆ²¨9{!R¹ Ò¡¶Ô@¥š¯4™º¦à=½è3-¹Éô"Å…çWÜUo¿cRVuÝѪÞ,@Ò‡,úû• Ýw¡…)Ÿi®¡ [v.1n?C¢½œIë“3Ô€¼‚(>Š•u¬…¦ÆV½”ø—õ‰Ñ4¹ÒrÞ‘Ÿ.¤ʳGtÇQžÓšÚí §°;¥ÌÝ÷|8f J]qMÜ´rÈióEÃWÀSYF×EÇyMxnó7m['²ÿîm"ï‘VÜ46MÑ&ÜÒβ`g÷Rä%üóÄ«‰4¼Áò77ã乓˜{¦š"Zµ>í,Ê¿Ïón>î=Þr§‹1íÌh5ìµÕ’ëeÒlNú–8®§Â0 >1^õã‰o‡†åg_àŠã†Ù–4»”®|:õV¢²¾ƒû¥¯¾} ÷MÂ,òëä-lº •ißnnå]óV‹xCß\Oº2 "ÿ6ëf`hvßfÌ+Ži»£›QTÐþ•éO+FVp‹ýåKg=ÜÑïPhGÍÛ\§½wÚO^æјœ¯‚È!U3¥61¿çóEvþÿ ÞÅ´˜Py-âX/gƒR¼!«Ó¹±ëYø–oø.v©ÚS„UÓÂRX‘б QÐ5ÆdC¤§ÈÃÝÁO±ðßEk7 DéÌh’/Ÿž÷¦é†={ØÞà¼a¨)š Æ%*—'C‹Ë;‹‚ýú´vó¹)^L£uâ_OR9†¡ù$­$íµVÁ…³Æ´€¢þPR…À«JÂ’Z|—‡ù‚yEä“ Ûu¶ø;úËüTΕ§ßá‰.£Ö9H.L"ä' #ßÅ>qÎá U×Âbw.4g•'àGßþýû¿É®z†úF„¤ Zn’ãCÙQŽ#íð–òItÙÓŽ9¹WDŽïRÙ?W±2' ¢3®7]‹ì&¯Ì¨ç f¢sãÁÒ˜:íX¯µ:ì“ØSHçAÊÎ2%e•ô¯¯¹k€Bïn9’ýyš¥Š_½Å/³[—:MÔ[‚$Ú‡HâÆ1Ë\ˆ–‚ÒŸAõ…+ÅC—%‰††6¦·Œ«Þ:ŒFX5$ÝÏ€ ´ ÒÔý9)å}!þX"~Î×Ç€õh˜oìÀÐËV'¦­PùöÑRö «ôB;JˆÆöÓ{Ù·¶ànãA{+’×"çÄ2ø#«¤ËS¨OÙ®©F¸\0>WéÊ@4~Y˜ãÅúó 4ud€Û|åç?e-. §añ³iLŠRÆ9u35¶Õ!»;R‘ÌO#óéÒ?OUí XÅjY?Ä6´©Ð¼ ©1+QˆZ’|?ǶF§ãÀ¿ómÆÿ¶í¨žÁ.˜£t@\Ž-v¤Mâ¿G¾É8µSŒKj¾ß ’í65ÏáS7ýCUS`~u¢¸¾>ñEt„!ü•5£Z…êè[ø •¿|³Þôÿ0Øà¼ZÂŽýSÅ8ê¿tiÕ¯¥–áš æé÷gNãÊç{m- UÿŽZÖÒá~¿x9›×´)Žî£dh¹QÂÅaÊv»dg¸ÓÐÎz>eìXá$˜(°œïOÔL÷W¤cÀúß?ÂgŒz—êîàq¾ú ÀöºÀÔ\\É“î2‰Ó’´?ï~¸ß?šX+ekÒÕñ]qt6R5b‚¬0…s­Is “ˆñ!ì2ë†!]¦7'I³Ÿ~xƒ©,J°ë¨÷†à™ñIÖf‘ð1‘‰ ½RX‹ý°KÌëy„q7‡Yro ì¸<¡ÐQí܇r ©öÓÈ{à H!þlJQSê·9H°W#¡x‰.æ^ÆÛ¬âÄ'ÌøÙb"僑Gi<Ù)4Ö¯Lõ¿KºÌ$Òov¬|ïˆG”¾jå2bÓ¬X‰åD¼âPÎQ?š@¨^OO"Âéò«Zò¹´ƒ>…‘N€¼´(VrŠ ™Æ!c;¡§¨i1>F¤€™éŠT]䣸c/U‡lúÔ8Ly׈±´Eš}~|è¶K=)°^[(€›Â€2gŠ¦ 9»C¨bέ„àê—Î< ã¿SFÃ=âu6SdY¤mŒì´›ˆdS”&XÛoï0äG¥øJü™‰\[„#Gf”°¡¿$ÆœSŒéW•©‹¯Àª£ákÚáâ}‘bÕ!ÂÔ‘/ÉÓoŠ¶A:ä³6mgÈÀXXn?ãjðâ‹.<·êbÇ™Êlˆ<ó3; ëêôËKþ2«×}Åé(ÈÿÞ_>*¶Ã~zÀý4Ï/ÉÂm+¼[ÝïÒ"œk""e€4S ôz©šyhö!‘WémƒT ž^` Kš*,†Á WÑcŽ$Å×'Z~÷¨xE­fŽÖf}ùƒûé¿Þðžlxê³·#B+Ì°h»‚Ó<ÍÚw¶lI3G;é3YxÁrPµq»‰1¡_TÃÍt‡ÀKIHLé–È&¬ ù½NÛ€`î—ZÏ3óà×Ìôh¿‘Ùv0A¸éø$ß>FÚâ`€/M:!~ ö3÷6,%§…3ôV Vm£r´%lñ“¶àÂY(µóFÍñ¥)–‰ŽõbFâékmÅÍ98¡§ÓRGkØ{·"¯´Yêwôo-6 Áïg‰3ÇŽt*:$H²bÖ…-^³†.mƒÄña‚°ýôR¾]¹ª/È(HÛ&ÒÓDj*ÉiiŽ•¯éÎ#zÿ‘MQ²8%8"ß‹–‚.ʦž9€¿F+Rê⡱¶Ã8<ÅÌ«eœþ—6NØ•ª-õ>J¢›Ñ16•¾îð=ñätçñhY«åÐta;£É4F€H›v_š ôú®»ŠÉ ÖŽæ¦ÌLKÜ@>ê£QÚfÍEè®#!¤Ú4SYm(dóÏN0NitÁ3²d—¤Oé±>„7ÏÃý³ÉUÙäŸbÜð àgá¤w=†öùº4§Ýu ¦ó,7O0ú–Ë÷0|χm*ï¨-Nú ž–ŽÔ…„Íˉ"kÀ²|ÿ(îmKg{ÎJß «{Ób‹ä ‘Çói rÏÍâ §Ù Þ[|‰øKËyái¡‚Ê…wÄÞïhsÛÄcÈwד³Ößá)ôƒ:K‘")Åùs˜&`Ðñ`’Š¢ßqt–r {² é瞯kdÕ<æc=¨£ÜáZ™º×ÇÏJ#ÐÙ)-@«ÍßL„>Ýö;òÙyùÓ¯;ö _ð}§Ì…®üIl ›â–"5À5°iè+íi£ð~ú3É´—ÎÛ¦C+ºWÙ(7%œs¬W±^Ã}Gx ­œäj Þ·Í‚ì‰M!Ä`cÛëÛÿ/„&'ö$©{œB:HÑŒz)Ë`èýR@èûµÇFlèW ,0¨©Cgúi~ÊÛÊD"ßÍ»(Å7Êßm÷¸ìMö=YBõR 5M2„ĆÂØhÚÎËÞßLHW› %‰}ë«‚~Ú–|@Ç?rŸDkÛ;ö'é.&R¬2~IÒšþoéTÍ;i?åèù½ßEf(s  IÈóËiþºá^¢$·£¸e‘¿™£…7ó»ëEÎ9üB‘ Xåëô‹ÐJ#Û?yÛÀŸ»ÞœòfÔ;ÂØ^Å°;YЊ㠔êSH·ÉiW³ùÄ$+fÛ!PöYÊ$¹y²A²¹žd Ç“&o|lÿ‡Y?ŸÌy>1¾#Å?J?K†K‰–Žkñ”)ìÀùO9´Á¨E Ú@íO¡?EF»ò`æ¡z4ŠQ‘r\êÞyøVÉ-ô|$öfý[ÕÆ¿.H³ÜÜ궷ÚI £â%B$žä9[_ÄFOj(4#jBH5î'µ„f1Üæ”c'ÔàO‘ÝNt<Å4³Šé a%sÒecøjNô"ý8mœè&Dmº²«/¬ØKÒO¹ˆe~ª\ŠLáM]‹Ä¥þ ;ôA=ýö?ªªC Ô·m'y÷€‰Pdë÷,ží~ŸD²Ûœì×äÃåE"TñÕ'_ˆ£ôÌcÒ#3&ׯÍSÕ%Ëêþ£â»¿p¦I…" œ¬ýRÔÃ>õ—½òùdñŒ'T®À®qä×ïoðOþ}«ñ©6Ë­Œ¿?T5’ƒèüIέÔTOèÛ9Úãôp$g©Oî=àúx…\Ìg +µ±ïá™ROîóZ¤£œÊû/;‘ËàxUV¨É+[¼©ª™hͦŠLæþ:µq($ÎTÃŒS湶õ8¯eñYú àyúnSî蔕ÀT_dòÄv*Ïw(HÅ)3e8ø´‘!}j‹F³®™R@ú-üîg‰À†˜4Ž1é>¡µ1‹ïßv7‚ü,eP¤}Ѭ5»zG*–µ+6ŠQWXøgékƒþÿ^ÃœrùˆÔ §®2ô:æ¦SóÀ•‡D9ùSI©/PÜ£öè3ƒ €=EaKÔ¥/‹—íÊLaÙ¡m•^Ó{ÉÔ¢´Ç“å*öÓG †·8CÝ(î.k¸lU€`M¯_®× aƒ&ý+R­dï-›¦ÌegékªNÖ03=ààŒ>QM¥€…'ÖÉÅs]¥ˆ‘õZ”ïàh{„ÿ)D…™¸1íªI)÷Í?ÜI^Ó»ø›šI¥ÿŸÅ^WM‹-ž— §÷7@~ lè\º8õ4º?G@ǃìS!nÏ‘ÔEÿïÀAdLD¼mšâ•Î¢>.; T´¤Ndxð–3Ô,¿Åkìp7QHIĬi‹§Ò3|ƒB4ì}mÚ•SÅòÀÚÏòv(—ŠaE"b&ÛÊF(»LˤkšÐ›g¹Á¶HÏákSj6§õ$”ŠKµSwe¾»Î5Ì¡VMÅ®W±½÷YŠS¸ÁŽWäÆ=ÅÞ¶Üxf;ጩU1G…¡”¸Ž*hUñ£¨ÌKž:¶S%Št8"Íþ#¤Çàk'/Å—ö8§ühIÏhRÖ%7›7‡ŠgèÃËžØ4 >7!@ƒüX1Xkí4ñiG €4o«üF[=Ä!¬Y ³L‡v(á!z\Ä‹p^t'TÌ»Žñ2äA=¡½´’5.?w ^U,û*ÑM4䈢VŒ=û2ï9ΞZ6´ˆËÂk4Wm&  ÅÁ¤ƒg`Ka®ãçæ!=·CˆSô úî RÞ]ƒn¬Í†ÄHd¢Òv8£m˜#ú±ž?ÍËö¨‘Æž µXÝr°ÊÅ>êdº‚&ˆ“œ™â°k‚¤©,ê"€’¦‰‹È§cÀÇeö&🫼ÄâOîNdg3=:¨-¢!P(n AŸÓ6ÚLéb]ˆ¡¤=iŽJc*Ö°£áœÛñ£¤çÕµMùó$íÍçrHLÖ£Ûj¤ft”V$‰0bɾ¦Ó>­Ï+þ'@#ØD¿ì錇ÐE)ä–'“T@¢ iÖÜŒ¢Ëgž |qkŒÍ¥·xZ­b£‹¾ébG"t¯¦%<:¶Œ rX›8$trÖ‹”ô}ß_ò.yŸöQžú÷ñzéý r34ôÒtæW¡¯k4€ HÐ1à”ª„@‹^|nèõ úÞ™¦5‹L󦀹&Ä*¡\zNxÜD¡Þ€¬]j1¥šÎÌhCž"v,†üЛ·¤ú·Ëâþ›–\ëƒÊ›,ÌT[ŒÖ¬]µ ç#a*ŸÃß´é'pCC’l(J=ÓmìéJØîÞ1NárN+¨h$ö¼“ÍŠ¤¼) ;±~ÀúÎÒ0D »1éjY N,µŽÞû/vyäµAÒÉ5Äf KxKúéYj&ëñu¦ì[d N“ìtæ­2ö }2Âó:•\£u›!¸Iä-z­ŽújÅZÈf×À´î^´¡Œ:Q|Ær.OÒœ.%J:ò.$b˜Ôk;ÖÉF¨‡ù&S9.„ßãn» ÷%3ÖøFF<Æ$Âó·I1bÓŽ:NÁY\³Y:¹t‡JQ†ÅK>è#1L/3ñ®e–L些¹ŽyÜe´ˆfƒâ?°]Š"îøÞ§ªaŒÄ87‰Ô Õ\¿p„w1 æ×/oóe¨EZDе¸æ,²#¸ ²”a1^9˜¾Ú}<Dýè×Éüû®j¥Ÿ’QAGùl¤q(~øæ›oDG½†—‰ûP¤Yà×(2$AA™Åí__æØ©3&‹dp¿˜aCr[•âÁÚ&%%f«¼€ùUÏb÷N]ìW¿Å¸äœ$TþÛÄϘ8w‰@´'ÑÖ wÉRÇðÉۺȒþúdå$‹ÀºÕÏ&%Þbµ’° `R¬ä®Òr¬·a„zúnØ5¨êɯQ 0…Ò{*ÝkªIªú±#‘±ZÇ^É–Ö8)n¡% |ëÒ¹62(,iWÃÆÿ®#U9Œ&)'FÑà°vƒ Ñ ;Ý4¾Æq·‚:Â.Ë ÿƒ ìxG¢{± #'¦øÉ(vÉSØYlëCoÜAÌÄ.Z’5ä ·¡é§˜ÉèÄ]Ȭ™ =­_$k!óžç–|E\Äî•Š£í§Z¦ž­EBZ¬x©H}‘,Gÿ[ô {Ý¢W©ŽÞUG™q?m™*†¢©weˆaŠEžŸUB©r¿u’3Íö™7z\§>ºãNìi<¯÷;ÔHrп¼»ãÀ¥Žƒèÿ›¿øþQp‡z5DŒSv"]ÁÒ!&v¢›Ló=ãrÖ¦0gzŽqœ’ŸcrNì§ø3ô€«ñ)O›}ýŽÓ5²¸—O=ÃåGÀ µ{3í*iÚ¢«÷i‹u³‘G®ËõXo p\G¢î/æ/ƒ„${˜ žðËÍìTFü1‡Ïn¶€Ð×r#ÜV(†3éu[Nâíœb<õ@—=Á„ƒ¡xÒ*‰ÓðŠäˆezSÒ÷uºi­Üa˜ISõ±v±‹bÝ–¬ûkaÿ€êrü~öǃ9½Áb,µ¨5ÇmæJÆÍ¢ãQ–£wÌ¡ ~VCkŠçýL‚‘µ !A]üîWHbs9ïI¤|¼—rËSZ~kÆ]‘ÈÜÞ´ôõ$å.Qðd‹ª«†¤4¨NB]Ø ÛüÒ“±XØÒÁ¯ S-ŒR£\õzè„J%^®¼7i”cu•p1[dåÀp;7:%ö¬EÎÉö€¾â¤e±´â¹G»½ÄœN-EË%ÉŠ«N}ýûþ¿™‚8_Ä Óc¢ÿg•´.82-yáÙµ‹o£ÛÖU¦É¼Hû¡É÷òâ‡4 ° µEÌŒ8 ý_4˜ 2^,¦”(Ó÷Rî;k¦K.#ܸÔÕaÙAFÇú€ý-é³ô6šö€‰G£þ‡DÓÇ•Êè8.=†ç¥ÐÑ<Õâ6¥&åv€Àõ8²ÙÆéyË]¯*{ÜD¤0ÿ*¹à©²Ã &™ã§ª1ãJc³¯’7ÈýÄ:Ÿ‘¸´¾qÇV/›gqß´ 1àE#–|6é™™\¶+f¦J¼šˆð¾›æDëg)äöTâ•HDåg=lÿÏÐc%zÅ!ÒeÙîßê#JJŒ®˜vCCKåyCGr4‡ fSb±Ä¤:H6áà7aÍ£LâìŒKZFÞk©²ÅiÔƒ¶”k£³NÄ0ón1udF:ÔWà.âiþ ¸\m›NîA ÷€Ãwù©Rò\sà­*ç]=6y½À¥¾‹ ~W"uÔáü§§ÃÃ3¦ãÒ¶*¯oжE²@<%ÑàvÖ`PwGû^Æž‘4€Z§¿p­—§é©eÑrðZ14zlÅï®»®ð:Ú¨•Ê¿Ö6î–•Î1]>coÞ\D Õ¥Ím„O¨Úv0‡+[R7-Žý%´AÅø‘]ÙZ~ ®Vj aÑf5„¼—ÊKøkÚùZsh†FÔ³ å$æk_Ä[|“›Þï‚6C›ëÈG&S#44-*½T#¡ èb¢KµV¢.·Õ) ÁŽÙþ´ÙuÙG3¹€ÐÆL¹œÑ°µ¦˜’0\Y¥tÏè$¥×›XSØZ»£ëVÄBÐe?×0é39W݈_m f²†&Ž‘…Òa¶[èʤh{pQ‹_<¨Æ¼cd9MÝÄƨ¾D÷íJÝÉ»Ñê€0,ëzYÓjØdRä Žö³ZÉQ6­ˆ\ø˜¯›ÔQ¥˜ô¥fl^šÊAš¤ ™º%~ •HÞ˜avíH x8Ën†‘sˆã:=y¦FBxÅÕiNa:‰f(„[Ì`²7Á­ ë#9Xûgœ›&  &Ëc7Wƒ2£M šUQÀº2LÕœî0#³Ú8Š_ÛÀ_¿ÐŒÿ­*Žß(Ý=ˆŽ#¨Žx÷|ûF/ >¦«èû`k‹Ïû”[ ¤Ñ³9ÝkÐ6ø7 €b mZ 2ÀUœ½=QçjlƒàAÛrµ±9€]ZÂfe«åÌvâ̪6 ¥¼CS±’[&:Zs©%6´B¥EG'Îkº(—lDÇ4¬!ˆcÈ­’`Àõ ¸¨x- ;‚TF£“V4HâãR§F… D¿Àôý®Jh2ôÇ*dx"&"àÅŠ©m§1®“vaFSÐ6aÎÌ3´™ ýNÿ?í¢ç™“Wð::‚.¯ ÕjZʃþFÑ<:s±oÑÄ}»ý9®7*àë×v:íhMkú§éŠ‰JS×Њ´¼™†óä;ñð„óGOku(l¢€}uLèºÑf`Ûý–~­Ç(îEhõ´°ãx>ãtýâ{Øb) à¿g*‰òÅË)œ}…*[ÒžŠcºî„å—ZBÂÙm2RÉñþ}Rf<‰Î‹ò¨‹ÞÁ»L­Šõ±aÜ6T¿ž©©@ t p§FÍþÄ1  »b–ÉVžv 4´ÙËÆ%l‘¾ÿïÙ;V•@ôƈ¤€ïeÜ`š)mËñXOI‚jX2 1‹äúäöü)_›tÞÑRyYÓ€u¥êGir›Ç:ar_s$WA º‡p¡1çi5Êãʘº¯…äå ´ˆŽ2ËÓ'VéLjUÝÿd"¿uД¢ã]ÁbÔš0Ö-},:üq¬Eâs}6lWüèü©ŒÓٶ̀¤êÉIVm€¢ŠÌ³6-Å)_ŽŒŸ1JïòˆQõ°u<1‹d,½5xc,—•Â³ú¸nò¯¦m§ÿÕþ5Z8ÿPk'ûA€"ß׶+³H$ƒÔùJ$ïuu“p/Eú~ºµ ¦nwóç0?nÞºš¼[ÛK½ì‰¸^@M¼Å‹xà݉ïPÔúsãjâïvíÜ6íIFžé*o28âk‰Aß2›ëQ>§™Ãu’?ˆ‡X}œ"NhŸhŠ§³*Ýèå\‰¢À7ÁU3Ó8­ŒTÎê—NÌpÏDå¾Cú¾¡#9“n¦RôÎð&j¨!kÒV«Š¯LÙ~†ºY-òp`£2¸I¸Z8vÐǤIÁN¥ðHˆÛø·+¨ç„‰+QŒ¢ÒIþSd=(K~9›O€‚zX]þÿ46~„0ɪe—¦?mdâ*%˜ûyŽ©¢fgk\=㉴ÏÝtŒd[×YÉÇ4(cj$0FÞOsyœ‰NF.Ø`aÇ8ù9N‘¢B%=QÚñ"3À’œvŸIïïŒFÙn„r,”dla×Nõ¼l7Óˆò=Hå'1ÃFº Z×=&˜!-þT]1w‡sš“›ÇVˆÞa2 ÒãÚý1–³´)̧™N’JAr›¹:Ñîsn×À íß2­ê…Ør¢•†Á‘ÆyÄÌóhÒMMæ´$»…¦úQ«jc«Tݨ7ÒĆ2åÖ Ý¶.^§iä™ TË}ÁÔgµJª.­#¢"VÒÔÒ1MD8zñO¢§¦ÊFŒW$à ¯FâvŽªx100]ÒG.u {pp{NϦNg˜Ûª%ÙV°¯86­~šíÅ"š*n1ä膔AU,Iy‚(&ÞpÒŸwit¯åuG:÷,Ñ$˜ d8Ö]ò%,mÔ[ “¢ >fz#ïBêÈ_ÿÍ>$‚˜× ;T 8g'ë§LÕ’IÁª[ÆbvÅ©Í«PP+ú]C;äÑŒ^˜*¦î (ÊKŽô³"u=·#p–H<þ²wÔ3q Å}[+# ]üÝAbâËuÚ RùËÛ :ˆXÀ—Ö.ÈOÄ—û­?B8^ZƒÇ,GîkR_ÍìA,X¦oO­^ ?´£öîyÍÓ…ÒEY¨Í±C Í>þ=ä‹LË ’4˜t´Ì f bþd?]dêÏv©ÆÙi*4F­Dª€=žh9AååEIG”#M„í]´$‚^ $Õ' äè2¬ðTâeAâÒš §zw§SÃ}¶¥É@ií®V|¦>3c…#n’ÿc§;ñ×Í®˜ÐéöŽVû¤ƒ-}™F÷1ÀƒË:õB‡+ìRã®H™¤—<¾ŸŒHçÐ6ôç""?®ý.vñÙn ·›Ë¸fê7ÅÓpm§C¡;äb9¨o ÔtÔ¸ÍssÀ󪌀‰`: Ù ;›â4¹Ktx€#]-OO¹Œ-ò¤~錌ý>•Lý0⢸#›pÖ˜HâWMïPÊ7µÑ%Wc“D Ð+—×ëi–6ÕN­ÓTͤCh;Ë°¢¨™À—èôB!köyœ$¢Ï™§Q·eø±/»èxµ¦}-¹)ˆf©÷’Øóé*%“ª.²Qøy¢h®ÆÉÖÇ9õ’ip÷FÎ’0&A­›@ÅÒòvT['ûæ Gƒ+š&h¥›L>e^‡Ï­õ!£Í Ÿ gºR¹§qHpÿ%ÓÍo1‡Ö©[tÎjþ!ñ2—&ûJƒu3}â¾ð¾“VŒº Ñ‘u1pŽRþ¥û°C8Äèýò÷¸Ç¼9¬òž­…¬#?ý÷hñÀI` ‡HØ„W·%% µù-ƒ™v^²Ý²ì*q›CEBU&L\t 5”Æ~JDÒq"és"M5‰|pB7ôÊtÀw•!‹t¨’ÓédúiRß&o_24õ€‘ߦ%Á×ßý­Gøû_?’¦#ìŠBŽ}ÊZ¢@aLC©lÅQyxþzâ?àrh´¯> ˆ–Ç´1» í´q¸æ]&?^ñä}€>´ÉDê›`÷O 2ã¦D~'A|û'å’_wæè0à3^Û4]×’šê}vUñ¬Kw¨¢¡ö1—›ÈS)ˆM» 0ݲNÄ}‡d&“'»*•duW ‹»èR(ïâEV&…*ðnKZ*½Ð–Eì^ºY4ø”Öˆ™ ÓßÐb#’JÃ0Œu¦ãËŽ>c³r"ßÙCF°z¦ãžÆMÁ"`HfN£Q³Áþ­…纚åþdö „âpÚ¸# òÀ¤ù_7°}µ´IÀ`š*»H2äšãl«úö ôu Ò¼hi¤ÙõloË癕{TAÙØÎjIu¾¼©vÚ%\ˆ.»h›l¹tïvX«¡„ÙèSn%J±W›Þùp9qóz>]›Ì]]ë< ?Û²›PËaåÛ"¡«kÙ­–.~Og:l„;F@ô0UdÝ|î({µ=¤#‰„Ú±ýªìf«-oÕaÞË£Ã~sHþ'] 4jËâ¼Yˆ¡uH[·“4`¯`"ò¯ˆB©[Æ&K–w–ª.U;±mD<¿³„^Õ" “´©f\µâ$ .05MÇørÂå¸gÑL$ZU%‚ÜÆñÝáæ:íâK¾°f”*8bLž ú’Ä8Ò–`›ÛL?­¢óäÿÚíÿqa^þ®5‡Ñ{o7d¢<À„ÆPÝr$yØ3Ïí"-Šté`t¿¸[¼î†SN ´«»HÀ¼Ä‘MË$Iƒv—¦TC?™Û•E‹ø.ª›ërw‡.íÔUˆl(?Têy”].í’:£¡SMšük8S“i†ÿæ.ž¸@q"Xé&ô¯N•v×IwB,ÊÛ9r}w}Ë'"9êÙ.ã{m¼AžøRmL-^­33ƪ‰ý±±Os­ÞØÖQçýbwc@{#ý¦_Á9,†Ëc:¬WjkûœÙÝ8êRÙ›»Ys5Nr^jañí>ÜzÈ«tŸ4†qthî>|ñpûá~°ô»|Hú-([=*~ìPëÄ'¯m²*¸ûðUøÍü]’>ÿᮊªðwt­òE†Ž»«| À›„ÁéY¬IŸpgùóµÒŦ¶SˆÓ'öÇNÀÕÁÝÁpbGŸÚzO;"/Ù>L«¸;VÃø¸Éèž„ ®. É+£R´!R7Hsw y*.jµJ]2Ç»ƒ#drQxZ£™PðIb"ÁêÁñ=Ð…ë©Éî Ñ*¾êXáã;»ÃªýÎ1bòжák@¸<ëjçV…Dt4éÍù<•ê>¿;ôÑFÏz~iØ›â *‹Ì‹`µ¾pœ¶D[¤ëá9uH%*UL0£+QÉë±}—¹!v•ZM–P—Ô³¤W—Ë]¸¶; }µ¦õª¦É:NïRÃl¯›$D}ZŒ„ç‹Ð¢ÖñôéÆÛF±ëstx½P.×ð}îÂsýaùmõi×ÐŽ³*æKF"7 Ý»ƒ»PÖ0g#@Û¢[—ª©`㣟å²Ä iºûrZ%¬²ÄNº¨ ÞJ¬åQ1¯õŠKoŠ›î’TZj«˜¼I¼c’{ÊbÏ4«áj+9î‡ ߦJÚJd,¸}º´å\-ü±ãPë|oéä¼8쪠}Zú)ð³ Ü.0n7¬áyÎgŽsÐ8ãc‹9ÎøAñÝe]faGª0øÀ™!ù½­».ñáî8&¼ýnwœ ÂŒšºáÙîÄañÑdªÝ_ÛŠ“_tÎÎE-ô´«¿ôr} 9P7•sÁÝ4ééôœ‘LX¥ÍŒ82uLÁ ʶRí³Ñ¦‹dŸ`»âÄÕû±§9TýyÌï¹ ÿ.÷Ίriwr„a׶ñfë ¾@ä`¦]˜ }áOóh«Ëª"^Es¾OˆîMì§Ý8J€C˜ô‹>ÒÛ‰ ™%ðC’Åk ˆ£82gA¡ï ×WÂ5 Ÿ&pÆk‘ÎVz!„â¸êPô¬'6"¥\ƒv}|ÎWÏ;¢Ø0«~ˆ”ÃìeöSEÑ‹îš?/{Aÿ}2úÛþ'ÃßÅÈÇ[ á}£¯„Þ/+ÜCCó' Dq&I=ä—‚¿5}ïÆörƒúÂÇS6‰EË/Ëûb:™éTرÿ´;¡•ùª‚ÂXOZ®¸½Íx \„«a¿güÃhµãb Ô”Ön…?ÂB»KÜJ›Â"â†t êàAŠýbŠ%ÍÓFd,\Ø5÷{•ä®îÒö4ëÈØÒ«¦¡k»f¼Ô¶p=ü„]=FfŠ,#è /l­Ãüz—„šg Ëð} =x*¿à&'ë†ÞÃÚk5›{É á®ŸG úíËx¼Ñ‡—pü €ÃŸ’èÉ—éÅi>n:D…*?Á gÔò^K‡çE;S¸x“R}¨+Ej­§}¹K|Õ½óø8´Äz„ö,8äëÐ0(6Y”è-/,×oP3»¦Lì>ÍOz§øQGÖ¤Tì˜1Yøqš‚ÄŠÊ¥ " áI"1³•-â¬;•ü%“$ 5œS vÄ;+Š¥=<”÷¾Æ­é×#¶ÉYÛªb9믰ë~$â©ÒÑÕÿÑ.€ªãP0jõÒµšvGzWvÐâ·J~©iTÁñ¬¥ƒlù?¿B}fGX¨—v§Û"ž«(M²ý€X™$M 3ìHd‰!b¥ŽÅN“w”Vª û\KJŸ n!,.ÝÝSOWZ ¾2£\Ä ŒÝ®-UÔs®G:ãLæ“ß³î÷ߣÊ%Õ)&gl¬¢?{ >}2ÀÍÔé—ÔkM·JBî…Ý)[#S2ý¢]ªAhAC}Ùéoh|É=JÖž¸ ºÕ~‰=PŽŠÍá/Jlgã5¦×³%WFÎÝk%»à+:ûxÌB²«Ž u†é¶ÒMJäÔŽûN»kŽ´<š@ÔˆoƒºÕÕÈÅl뜟x1.9x".ãWXüô§I‚QË?ïH¢jÃ¥ÝPšªNº#Õ3ø|,ËÞæÅæøÖ䳇¨Y½ &ÔÚí§'Þ™9Ûj™ï÷çË$sÅ 3œZá—©k‡ÙG¼DJ†IpWL„e¬ÉŽED¸-é€@©$†õ¬Í<·£mœn˜pqAÞVÃ'ðP¤Bô¥ãT¸Ò0÷ @™4üè­ß:÷”ÒðìÛT™æx1I’J»¨§¹ÚËžúû@};⨥ÌO“×õ¾Z†Ð¶çeí“¿ÇÞ×YJÙoñ?9Áo»\[©É§¡‰_?lV&ë²¾ B6PØ(÷€‡•¹gsÀŠKs²¹K'~Ñ )º”‡9tŠé„ªôG&Û‡Å_þíoÎHá°\µá7v0Hú#Oì¸Áî•"-ŸŸ»»p>­ 0€gó6)9¦ £›aÍ€úƧÀPÞš(ƒ(Œ¤¨ d,wš&&¦ñzÊ g¿—bkáÀEÿÒÙèqâÞÙGI{]O’[î¬#§Ð)¾žÙi´4ñ×죎O–™ËT”}h&´ñ5­‰M’g:¤}ñ$Í·½²ü¸ha2ù˜(ƒÖƒ‰£+gQÚ²yšµÄ#U P?ß-Q‚MO¶¦Áãbv¶áÿŸ^†NËÿ‰f9ZÃZ¨[î–1Ðû6þ^oܹ‚ú"eVžç¢gKÚMOãm±;&*"­~ f”Œ¨3 "  —’Дj* hˆ1MGu™\µ×ø;ô¢×µ‡c‹<é3GÚ]ºS•l—RCËì]úÔЈ³ÄiVIôwŽ}€âmËÛ¶i…†N °¬î|—I=òÇc­ç‚@q@çB ¾<¶¦ŒÔÒ=¼J¦oNr*¾Dþ.M½eê}¦'ÇãÿiÚš¤¥šŠžj ÷GÌæôtt— cwÆ1îçw !ÆÙÈ!!óß‚wøcâZþ¾¢û›|8UuûˆÎÄ5kÂÑ¡HFR`¯ø_<(üiï¢5ðB¿r…ÏÍ¢³£864›QSÖÿ÷ÆN¥Å!d¡V-ô‰–´rÒ3S,%íªðf!èE•º*aï\dÖÆ€Y¿B»!iGîF*¸Mne„¨U^Ó‡h¥ˆ™8G×Ù­¾Ú™¡AœÀŠjÛZ¶å×3Ö:MQêñX‹/=ƒö)nöã]TòJ»ûÌN ²Ÿ×6åÖ£écMÑJ<üÒ¸Ãç.?Aò_¹Ìé—AGþ™ËI½_q6 ­ð=›Ý„~Í5Ì!…‰úÅnÅZÓ¶:"9ds0z°äïJCß½] &8—ùðXÈ ·ú-Ï6·Ÿzn!¸ŠuÏÕ×!©Õ:ÌÃO²vO:$‘\vx˜‚·ð]H©,]ù¹T¶ô¥(ƒ†ˆ ÞÖØßfcú>MÄ¡ˆ¡½Ht”ÎqµèZR´Ê¼ ¨4ciS~U¥œ²?ƒjæ­Õ^ØâòÆã"%¸™¡ÓH Náu¨U2eÓÏìÜ4úIQ¸îAö¢~ø„ó»•K߉(”÷#åûGP„¡º¼ä’Ö-‚¶‚ªøþ%êYÍròR|ÿ?D!Ç‘v`…QÅ›·J$–§_ÿ>§²Åõ_ò݃¥Ù­Ry7™¬¦8Ô¶KZtbÌF†vÊ–‡;9ëAuhÄÀ¸¥vAúlFÚ®u¡£FW–¾¹*¦ Pxr–UÀ&a0CHТ„ñ½àÆ¢^Iƒf¾ÈÚ7ŒÓáCYBPÁè¡´½}$µ”âPººe«ïw$DSçŸv@¾IÓ `õ®‡¶Ôª:Iÿ£J&ƒ‡ÆŒH)sçå…D‹}Ä“R@†„›>¶¢zÝÕŒX¦C<µ>Nêy$r”˜µLLÀN‰"ŒI!Þ«®Ræ}$vÂåhO$¢ÓZ$We*õá©OÓË„_?3£Qy‚³˜î}9ÃfÒÎ;Ö½»¾Nq )¼ºÌùgiá}v |•½gì¤vwAïS®ûÒfûªk– ö%Ú<ZÌÒ¼ë):ô&(¶å\„W„I2÷ Ÿ,]/Ç]ÊYãÉJõ!µÏ@XPìÂçcSâïãn×Ç¢}$ïOìqò¬ÒÊúPñ_ ½Š.j¯ZRFÝb¤4JA¨úpW¦¿Àn±)ý«LòUé_Ê¢6ŽA2¿Èyi›Á‡R¥/ϼ-˜üâyñ@÷XÎ i)NLÏxà8ÙÃ~šó¶Û龑1kÃáÙ“<ÉÒL Í©Ïz¢i³”ýû«Ì9³nÄ‹d?Ü¢Ók]fŸí™Br{ý“>ëŠfhò÷Nk²­ß%|«â´l­5#˜¡{¿ê·ÃErUE’ª›k“H˜Y—s.îñ4B€’ÿQ€ l²aV¯´îæà˜GùÏ“è…—˜¯|(H6ð«!{ÿXg"´Çñ²T'G:˜}ø+47"¦rØfix¯º+Ï.¡8®%¯Ûþðš°‘‹œÆÊ•[ß2+‡W'¹äÀ²ÿ Š£#†pRéç#U¡&'â{²hL‚,H¯5´»ÕYazÓ0Šq ®ô y¤Eš$üÔS6,¾ÐɹGŒi|K¼*-Ĉšß%ÔñçY` l>ÜkDÇ0û¾©ð239màɱªÓÇb›’¿,W´må˜Äî !b´d"Ì¥üÁ– ‹SÍL™ÓkµZzÔ"y£-Ò|V,£SÖÀ`ž¤^qÔ%~"ëz] tš O»ÚÆL¸‚±¯ç­DåúRðÂôÁ!ôÑÅO4ÌÀºJ>B×:MXîN¯úáXÍÊøÚ LÕ'Jà÷‰¿zZ"§ipl XT¾Î¾Ø5Ü꒭覠?1*R¸î˜ÇPÖm†3äzª¶v¾ôUÁå×°UÕ!J¤éÎ…- ãÒmŽ`ŽIñF×2îN.ìr>ÅHF¡¯9œŒ²a늦8‘Ff\‰´<Øë ¦—pGKðV7œZ?줈ß뙵-ÆÖ…Ze7Žœ(GóD!QøUo.º»Õv<^²=ʈ<âÀ2¿©­³Fþ..¿¹eç²[˜vêþóÄ ŽØR'fKâ…šõW¿tŒ2“ŸsÛqJ–¸NÊw˜m}1D}Wò³ÖŸôÌ=Ôb–óŠ©=%ñ3ø¬æPññš‰?—-Àu+­œ‘rŸŽL}™Jr¹t W”%9aQ”6Ôãp¸'òåQrµØœÄ&P9Èzk"B"Ö"ù™¼.Eê3Ê›bÙo•Am‘Àú²nŸ\ Ûj̦ϼûÏäU/úKÍoÚ3T±—ÏöƒÜcå)[ëA˜ÇlþPövÈÀH%×|S¸Ütm{#êE—ú¯†@3•ßÞáǵ:.³{ ª˜ÄœÍ­??Ù’3:0?ÜŠÈÛ’þ­êFro;nÕµQü¦½9ºˆ® 6í‡ÿ•¾Å½2Ú¿JEHÖ"Q®ªùoGê>ŠäÁƸÓßX[d§Ç ©ôj"æ)r7ƒ숶³Ûˆ÷®í%Rc8/úÄÓÝJ–3ó¿G¾Ö#'Ô›‰Cû=ܲ¶Œ© ×Ó nB3ˆ›ÈŒåt@;OPþWßÊš&âUÚI_H œÞÄ'2 ‰¹Ø´×›$`8ÓÒã)ËNñeùÄÅëjÏÂÇ‚ o9R«ZëN^÷·ìä›ƀƪê½û©ô'ÏQÒ²ISŸåóЋ’_hŸ4ïäˆä¥´??]LÛoõœá{§ ·“÷ßñ×x·¯^˜…­‹7zÆrV#{û@@Ûó5BPq”mçqT7y×|>íHï5ÇôÅ>ߢ(ìÝÚL٢ыt®t¿Ü`¡òÈ]6õ\{ÚåS$Ì¥ÄH:ÅiSØó—9µÓYu^ ¼îëÿ2ér å;®D²&å¥ìfò…@ÏŠäòÀ¼ÕÑvÒ¿¾®5ŸÙÛ¶j'²3ÞêödG¿5é‰òÉ7 ¹SNîçÔÓî,—ñ¥J/µ°ò‘£¢d¿û'¼ÌK±Ì¹7B˜ô㔜•Ñ…èΓ"È‘…¼ø¬€úHŽ Ò·SìÈ瞷Ŧ©‡¨0eÏ{‚¬oš“Í>Íöç@n?Ñ$¼uÄLv“P©D`ÆóŒŸ2aφì5ÒóYâÔrï{à0é`Ø“ktƒ$ I=ì°B³ÝiƒEÿU²"~LÔ”âGÏ=TmcI85GS],jÛ IAãJž} +‘ú8Q¥iP´¶£TŒZ›ARµ?Â¥I#yá™Ñe^·‰éB¤gLué¢YfÕ« ÷c?3¤½ õh.øJ£Î:ÄÁ®t4Éa$ÿ»»îw?Z553“!íî°hì¹å!ÎãgIW5uÔt l L«LÁ5“5ãVA¨/ò‚¤} ÊÅ8HÇE@/&ïÓED'¸'dùe0¼.S'y[ô_¹,„1ô ÜÜ[¯ ÓiÓ^ox‰½(Zw¶½¤nFŠ«9=Eê®1㜜|¾gUºªÊåIŸûqÛ+ëw9R q‚œÁ°Üî‘ý9˜Ø?3V½°÷Ì–6ÂgÐB¯kTLiÿUa 5F*‡¦. &Züœl<•‹ˆNÚW§A »âºîšC1 ˇiô˜¬TF˜ëhçZ‹„â»o¾ °™¿Û­ìÉ?išÁkˆÀ?ž‰†ë'& —ÈE9rÝ¡ŒEÀ€) ÄØ,ìÁÿÀHl™›»v\ ½ÃP]f=»¶k}æœ6ÊÛç»Yq5m84ܯ[#¡Ö_XÝíÚysÿ´‹+»€¨”iQo°Š {—vç´tæ¦ÿ»sO¼GÄ@it‹¢ç$IÆM5âœö€¶@M³#]H3;1,Ý Ö§•Nň.ìζ`8QÉ2K¤ÉT¹Ì‹ÑÕ’é’x(iT2r„YU&} XKMÓ 9*b¨çtdÅËÃüSŸ%3Öy&H\¶†r–)Ûf˜µx#Jˆ\`ʾV8VßK&`ÔKLúiÎî/“ÝŸýEÙ/´)|Œs6ãqþR åVHOÜŸë„¢÷E “Œ– /$SM053TFjýoWø‚5™:×ΙΥçÓLÐø #E;f-Šÿ]r ¢¿²+%^Ñ÷Õ¬›e÷ õC+®U£Tmö3Z ´´7ºMtv’õ˜ö.Ì·*ûÇ2Ótûk‚^vz`¢ô|Cp,,"•NOyPW–ȼÓ'´õðåÃÍd|Mt;¨ÕÉ糉x‡\phеŽÂ…ä )àiÔ{oJ²„¥ÁåO§2Òá+T=ÖÉârjãÑ%iaÏTW†¦<½é_€UBSx&—¤|AS·È&]‰èÎÄìf ³ïüä7?%qE9³™Ãœç¤.Í¢œrG0|Ó„ä·á,~øB-KsØž|Ö¶1¢ÎÉŸìÑ„?Œ›„˜{ÙZuÊÝ K·µ€I=*3·Aädˆ˜Dû•:ìNi^©Và&ú¼4m´/ž~ ÕDì€â+ߪzeEHedüçÆß¾9AÍ¥¨@Å< LÛk¾Ð'·$~û}¶{´ybц#6¨ƒñ£º›“%2ö'v½Ï?ZAæ/^©ù\=* É·ð|ÉÒ·DC¤a<"\´WÜìq÷èÔŒÌ+‚Éètâ8©³˜Dº®iNá®÷™vGzfIÂ9šu±ÇñBm«Ž¢kI¦ž’´Ujq¯C]SýSS tÝaJ>žÀ´·›¸Ù~¼;¯R½¡ÛY,»@ý>§¯È‹\±ncÞ6yt&1 ÝõŒ»Lm‘I”AÞˆ .cšñèíkF%ui Ô9Á[¶÷îY-L΃\ƒ¸?I”‰nªTêÈ,Åäšô¿ãêPú]’Öó׿¦~D¡ÈÔ¸Šáš®q,#ùp·f'l mŠ§ÉW/Qy¼®MãPŽ "ºFµþZˆ–—ð+ê–¢²ƒÅuĘÉ(ãDwÐ>Ýð› Ä–½åu‚tƒH¡ptŽ¢”–oxõ{»L å‹íÌáêýll)D×b i^ËøÅLLî}wÉÆ×4¹…oÄqhk€ënUú§ãñ¼L:^›>^~ûÚ.ö„Ö øéHhX{(@Aë>¡¶^Ü­é—.‡/ÜàÃÝz˜g=”õ"èæ {¦kzª€8tTêô·´m%ž'kW@ŒÚ5°ÌÈ}ùS/N?ÁÐÏF”¼Æ9³À‚H—­ìPÀÖ~VÄ$s1uàš/ÙˆÙq™€“›žú”«LiXq¦>a©¯Œ@ì©SVHvqg—UøìõÉïpv™Tëïräìåc™ÝL'ïi;/õ ò¾©’!‡†v”ŒË¤/ååîîÒ·Á.£Ž¦Z¨AGŠRÄþ˜Œ…;”¯²X·«’Öë¾Ó·ˆÁ¥‘Gë´+7¶C d_ëé„k2M'¥¤=Ô]úº(vtÂa!þX$™âÁ ÕTÄÁ2)¸#—Yt,£À4«‡ö0šYJ p—E¥Å9çitŒ¡ u ßñtµ¥yOJµ©&áð­W³ÁRÊàðêqÇ=Õ½“ƒúiEkh¬D!=š=¨ý‚ h„°§žáŠ0%Ëöžø¯žèD“ÍbŸ«ÆØÒŽ±îQð½u¸2œ—·aûeEvŒ ÌpÍ™†Y»ÊS>‰Fã-ø_7ËA7Ûȳ֮Æ&$½ŽI /ÿYd ÁáeX’n3ëÓb£× Ñì¿ÒôFlʉ"s#Vàí'tt¦íH) ‚Öœ¸ù¡*Œ¡{å<íñõF9B¢ã5`î¿|²)‡=@û …p‡Óè´ˆ‚iu‹&¸ÄH«MWÄ!`V-øÝF@ËÖ$.öÁ~¿[sÎ¥Fââ¡ÇÖ‘g¼²*:LR:ü¥vðÑÉî~†#±ZPª Ö VF)VK¡ð4 øÚ{v>º?Ë;jîêL†;ïjP&¤`¢U8u)-X> á„s0~Òêk^¹$9oA:4‚Ž, 哶ÓØÑQ`§ ¨ˆ¨³V€¥¬•CÒmñ~ÿq†£uÅ]!…“´æC#ŽóùDõwšÓ/oøË°þ‘9ËÒ¬÷r9ÒéدâIò§]´þ\«ÆA;?©”`2´Ã©èå/w`ãÊm£Q»á "×7Éð¥¿Ú…ó•‘i4^JX¶ *¦veH’xJŸËö.Æ PÂKOSögÚDI毊Ÿ5ic°B‡Ù1BbÞX<±A†k®/’@[/-MäáÍÓäj¨W:Åâ7tÿb¢4?;IDqˆQ—Æ÷Þ.ÙSÍé“q×]‹#ËšcÕÊÉŬôvÔ] …¶"..ð»éÒiË$–+»¡@H;ÏŒ|‚5C¬w¾`|Ûô´$ü¡Ø%.ãoÒ'I,¯Õ¡ð¯7ây­iR<_tI6 þLQjÒA°+Ñž@iâ*q€H?©‹Ž…ãh¢Æ0G“ÞB£–ÔÈwq¶¦Ð}\³TW¢Å÷ÈŠ¶/ˆ6h<Ôª z3P/*K'*0oÂàýù7š‹befè‰9B6½ÿÞŸa×jMôüßhȆǹš‘Ö\™i1¦‰Ø¬è/…àâ9]­Ž5ÆÕŒÿ™£‚Zxųt êÆxK깉}ù»ÝxèÓtÁù ²M³ñ`ý¡ï& #éuŒ®žAŦ‡4iK1Y›T:°+ÚàËf‰<Ó¥^%×,€¶°ŒV†áœätœcº}:k=Y·nÓÓHêHžqG£ešˆssZ u¼û;?Þ‘ê¦xÏÃ_éèhÚi­»•xçšë##À.Ž6ó8×°OÓ»çʼ«NÙ‰Õv#?ô¢& ÖÍBÇØØmŽUÙ¯hëÒ0(rᢊÎ’i= 4íxp¸¼Õi-><ù#>™»_ý ÐÉ|ÔY]ò’giI\Ûm‹oÿíÚ5ËFô_[ í¥…$Œ>²}«†ü±e·¢…`gpó¤Î ¹Q”fnèvã4þïbLÈ-&`• |‰ó柸º@W¨RЗÄíŽN›Ôâ×/ïúK–x†– dÓ&=ãš WŒU‡Ò”úÔqžáçÇåtÉ=xV×ÆT½šóŽ=M¹/—yp;äê“·5ê %;­å3ês[LÄ6yJ£¨ÿ@*;I1t„â¯[«#×ù©·þ±«Žä­O}Óý‰0MôuòþtZËðÈBEr,s°þ«§Ö,¹dTèç¿Þ»<©ï&É:ðõ¯þ†ÚN—C"Lƒ™à@ÿ•.*HŒtà’H®ifÅO\ Pã¦3Ó"š¡Ö#+ÆŸz:½nØ&S NÙ!JÙºü‰²«¤òšãÛêFë”%^™3á’/®ºº(„똋Ž}pˆè´´t¶uÿ6ÁL kÆeæ 8+CŸ¹T£ô1T™ä:øS˜£‹E£K.TôA©Ûøí—ñ7u߇Ʉš{‚üJµìî?ÔÕajñ{n1ö½½Î$95PS»ŽJÂ&»*«îE”rF4BÊòjÛf ï‘ŽÙ`—v[Q*6ÄE÷ün7  ycfMüiU%Á>"ÚQÒÜ;dr! ÁTS᫸€8 ¾&Óêu&•#·:H´œÕÝt21’oÄv÷¨|]v¥V9,±N6²›ŽLCÌ‘rEDŠ]W³Í©xF±qȇßþýû¿þÿßä3äé½x K¸Êd;bŒ7â°p Dü»”¿€ñÓ<îB½®:Öç*ûÔ¿*SE“sŽœœ˜Ï"úêÏHª{£óŒbs€W0ÔÓ·Ñ3Š/a~WõH¹ÜÂÝ;-sQˆëµ™;ë9 RmÇ⌠‘Br‰±#Q‘"ì‰ÐæQ[%YÐc›¦šê&åÞ;PûJ>1—;m²g‚ü,en^c¢éºb0Cm/ç'IM¾)†4à™Éw@øáA\óLb4LUËç¿Ñ¥’µ³(š‚ÓøZ$¬…k¬‚8SÎöŠ^Ä5qBèø”il[ä0îIÊ çûˆÊ’ýëkîºr!52º‡Ö|Oæk|a§ªÕ Ò²2«7sÑ°AiysXêNýÀ“qý»9-þ¤§¶1ìf/!ÔgØƹx Ô“¡QD|,R@®°E èÙjJDMžeŽ9˜ýk¾Õ˜üÜàmJeë_ß ×)ý…ªGË$õϘ-ÎÄÇy2"ôö pü4ýûÆŠ óŽ“8Þ¦˜Wþxø*9ô¿M¼ˆ?F¤Uy²’°‹ ø ã.Äw…Êp(l¹øXÖNùub-֬љZr5rL“å/¿—>.zsåŒôNÿ:ù ²«ªð ÅU\½_Åç ¿E&€šÑò3•î¿¼¿I'£|¨Xÿ’ü$aù¬ ò3vó‘Ôz‰]tè<•·Š?3H0“éšøÅËjzœR}äƒ÷TÓþ:YÞð‘ ¹RþàMBâzÙMæ8»[ôÚÌ¿Fä™EŸºG"aJËv4š–b}m<³ïD€=ìáç«?}“kVÂÖq÷—UŠ>s$œˆ=MöWX&Ö£&ì*:ÑÇ \X®´aÓçjJ‹¹;@ÂÏÀ]®åYÚÊ(E||'q4‰0qÑssø6G m> ×,M[ÔLVæà¯ÿDô×ÈÚº‘¶!dUÂ$WÀ¶íñ‡æ°X ˜OÉ•V>¥¢¯hò£‘BþMÇâz'ˆUèaÌtí¡9ñ¾=ÒeGj{ødÌ›GÅ›ŽfI[l“Â`‡NfåJ œìŠ”™¸{¯¦ÎF–¢ÁE4߃¬v4âuÛÓ~¤YeŽH}ɳIh6ºâ>P³z]ž!Ã-MöÂ!±ÛZ|V™´nyÀ|Ž[vÖûè›# ¸ôÌG´$ÆH%ÃÉöðñÃâ@¡œ|¯~e×Î| ÙÜÖv8´âåqÞö[ƒ†¬×gO'‡ÝsRø;ê×Í)Õ—¹VkÊ_¢kÓ/Ž…¾&ý5kìŠfˆJbéÇÌKN×®µ™Öý¥Ï-wa ïh‰ nO¸Jóææ»++`E×î3Ý”(ÄT¢FTø¬½õÖ´ÅnÉX€þœ#S˜ >qVxÒïö†­ý㽇[_„þûpïáÓð÷ù½‡/f#ò Söh{BÚÁË 8ýfœÙÂè?†œÝ{¸û5gÒ£vÓíoâêçbÃÃ9ÀDä@zöb?{¸/Þl_ütÿ¡ƒ]ÝRœç-‚*¯3Ûˆ/ŸÁÅQ¥»þôpçá«t§{?¼ÅaX`KBÚïö¶~ “dïyü†ƒâÛoþ›¤&ÿÿŠjÆž*†º$uºG¶ôig‹ÒpŠa„s$:ò4Í €;Ó„Àúដáø;Ìâ³ôw‡zhé÷Úi–0XÚ2EÌý‘6~øGFÀ·ÅW'†ÒÄWɹqcâ?EÀP”må·Ï¥çUwˆ;Qb6^dB5–‚ÅŸ@CZçýŽÆ~[ Ë9ìÃB¬Z›¶½›hLï=Yh‡,V{”*\­ùÓ ñfÉÌ|9P_h.W‹'CM¯Sw9"ƒE§:j×ý Ì­«…íz·é mŽ˜{¹ÎïA½dܘ¸x"¿­‰)§€Ä–„øÞ)r+¢p͸­ÿó"3aôJõx0™”ËzÂüUÐt}J1'0ØdÜ ºz€¸™HCS0¡øáïV¤dÑœ6&Õ£q+îÙº¢¥íæ˜+7<«£•[ºÊ¹‘‡1帟bPwG1¸ø“KÙ’H¤¡Â©rÏZ\Ùçcü?5´sµ½.ÂmˆrLF Üm´,v×SÂ*ÚÎ22 ƒ Ïì?îÎwö¼ŒµF‘ô4Þô|Sª™—èÞ—Ñê˜Hi&N„LrÔªãZw9qNÿM'’#M+}ŸL4ᦩ×ñC$Š¸f›òg¨×I3t“cUéx¢|FäF„0ÓË©”p´Ê/8¬:€ëí«*n-·÷ÔX¡.½Ó©fˆp~†‹`c&‰eÄ´*¿ìh®ŒTòºœgrfr`Š¡Ï{X§°ìÏ¡¸øÛ÷¢•v>%YÌà×È3Õ¡©2Æby:‹Á ´20®Ã˜$}‚ð1f-œ‰àpÝs{”Škï)C¼1©ÛhÅòõñ7ôS‹÷Óh 'ÎñЭ«7áëÎÇüÃ=Þ¸:T»ÚR¡Fò–ÿSsͨâ!aª0µGÏt–Ó(á´ßJñÑkŽò£dá0ŽÊ{Ý[•Z\k’q³bÙ‘š™@®çÔÞš÷,kû›¹cð«f¶™À8ÍLõ³ÎmâƒN„ùŸÔ+Ï•ò`î‡kaýv^ªý®’IÝW³†Âñˆ®®Ç"spSüÀÑI©8Œ›ñöyØQOûÕŸ¿‰AóùH¡¦Mªhz$ÚNûÅ/z:WOËãHÕ ˜&Éè+UÇhZšSœRcÚö䲚j½RÑ ¥›i­¢ µ\LôÓÆXªA­š‚Î"„’#(-Û2Y?O»š¤Ž¢+H\¾òÔШ2XÆþ&@h!…X˜uÒQ°GÓ3¢¤Íø>‡¾? Ë´«p˜Vž£wÐA7•;f¡ôHþð ûSkSUêÎRgŽDGaÓ@ÁYæ’rU©{åáN%^±&M´Îq/0¶Ià%°±$Â*ÆûM;Šk?-ò°!‘d,Þʸ²*r„’œ@³©œNUcé 6âKNe­ôBœe9Ð4?³-s¾%!4‚j¹\QÚbˆÇ^öQÿÅzT`Œ[èÐYVsàf¢8_bÿ±3_Ø„ˆh1Š3aØ3,ŠÑŸi®¬»ýyP]»’ÙHg™Ÿ„}~¥¥«B )6 ïQ@wTuƒúãâP¸œ¸s59çY4¼Â._^""ú•™n*Û;·A$ý‹ç³¤¶É7¼èÈY-¤3 Ù˜0rÃ_:ûÉ<Ý0î=O à­ïBŠgÌm&zS»c!×${_Éš Äií/\›¯ÅN_Û²3'°HiRÌHg„VJûÅ<Ï%é+ä¬*š‘ÈÕ_ÇÅX‘ˆ.¶ÏýnF"}ÔiÖ@kíÄšb3éà¿Û‹;ààÔü‘!#…31Å/ø±–GÿêxäpÓ}…:Bv´¢WAl¿jPp¸¥MyV¥°ƒ hz@h׬җƒÔ  »-o;ZÙã&nì|>Ò"„ÚWDRã ©Ž iùÝÀ—ÚRe,iÀ¢_§N­p¢ wÞw|]ò̪m|sØúj-æcEúmKî„d²Yê}"ÛâgšPBëØù””müK|H{ ¡Ó¾ÄQ²3?÷"7FªyB;ÀÛŒ~“ôGAzàâ9ÄŒ¥õ ˜Ö‰ûµ:ÍØõEàëß³’ýÞOPçVòÍ™n„€}5ÑY³Ž 0 ×Б8dÁQv%mWTçH›ðp²:D=­šxdÝ̹c¤t±áf2Þqt:?j˜@f8Kñ&7±,Ž€1·ÙE¬Aý x%ªK9\#L›^ö7™ªùÐao8ÏÔFD‹ Ý˜Uq˜>VS‹d"3UÇ4„‘w…yµšôÃy×¼BiÒRœ•‰ØcÊM¯Âc?oø›ù¢xܵ©HÉyG{“*ÝuÚv´†Mƒ=í™|3üoèÊ«‘ÅRkŠ¼‘1p¦6*£§+¥LrH _x ‚" ƒš|øåáaœØRǹul~‰!(½K|hE*¾™ µ«BÊýÜA—LÆ¥XôOÒz¿ŽÚª+æD.–1 6ÈÁ¨©Êh½©‡µEò‡{j®ÒÓæ¤Q!§Šý¯ ì:shÏ*°éCèŒ}ø ³\É®ºåàp¤á) Lêæ9— f/DËA$##Q‚}ƒiÉimÛ:vÀÏi’±æ ücø¤ $JÍÌ wNÞŒ&æ!uOÃù·É>;P­SýÍÏò6o­…Û[¢g3,%4†k”ªF>Ýx¬aˆ‚Ö9×`<'0NnOìhƒ¿/}‹DØzÛäl»r¦¥ÁyÇÂxï ‡tÿ×"XþJ¤æU .Eú~ 縈´!–†ëAgV¶·Íô(ù+SáGï†"wK¿©[FÞ=ønã[ôúkN'D©'Ck•ªä³Ý¯«TtægÏзr°èÄTzÖUò};&2ÅþÓ×çÂõPH.ŒJo»ó²sû# ^8ºz,®·Ñ¦ÆxaiÅtSUKû½a¨ë—±œïyGœ¶RßDæ3õC;‘ D4m6†¸>1 @Ì€äxÛm -0{ÌÓÂs +CÈñ,ó»Ö¬»å²d `¤qæLóU"l×–ëO?&1í0éKW§¤‡ÊèŒÀØ*»{)ÑŸwrSõD‘@!©Ý¼9yã}%0å%}hÓ¥Ÿé?É ‹©mfB¡Íñ'b  ÊË“tGGØ®¸lMDˆÌ{žÐSéç}’<)¾¥È2ÇbKy ½Ëëþ2ˆ°ÕˆmŒY´@k3(ó„ÞåÒÒ,¥Þ·;ìfôyÿX@§’Ù‡{ 7 ?fO—Šm bÚñ‹p1Gøb"›’,/DÄZ€(ãK, |«æ´‹Û|A§Š+t@Û«Y­ÊLd#ö·ÿæÑÏDáz<2肣ˈ¹KŽ»´¨Bå‰Ò¯£|q>¥Í”¶©É—1/áêÉ/á".»‘Îß”+¸ÉŠ~¾ùno[]sd”‹jÓUGýÉ—ÒewÃYdµOŸž ÊS¡ìëäk¹è¨$¨&%妣UÈ0€Ž<öªw:ª‹‘¾~ÿE úÔÉ2àúð ÈIkI¿‹*Ê_ùµ°ÂÖUJÃ*°·Ø#~S*Ú×™­‘h†'lîÌB ˆRÚ°k{Y Ãl¸ïhüI GˆÒz¡¹‡º#Ù‰žá†°4u°cJª2­}gšY'7Wvá]¬R"¤‹"]n]Íñžò¶oÁe +Ek£íE‰ Åî}DÞææpºâPw¹÷µŽ9lÏj677(ÌË%¦å×3Ù©4"ÕKpáQwqØ?Ù‹…ÜPþÑÒ÷ðoë|Ûk!( iô<17Âp3Rlñ£TÕ27C³œˆhD÷Õ¸xg±Î?¢ñÀ‹¤¾ÄQw,Zó“Vý— i(0¸Gu ÇÅ·•4òeóžë«ášÓeÕÌÈIž¥Jp¤8£¢[$»àç/‹¿Éû£‘™åUçc‹$e±Š@©ÙqÕôœ5ïc]t¬gj‘Š[û{ 8ˆ÷RDfì%GÙ¶"­xÁågûۉ̜Ï…C•[üÁI+Ýh½éï®Õ>*¶f½¶ÞøªíYs”Î{Bf¡$Ê•XYó“†dtV7cŸî«0›0Ejµ¡ šQƒNH¸ØŠ I¨A„útÏ5[?8›È¸½JÿOên3ÒÝ»÷“>÷¤ZÏ­7° ÔVÔ4Ö,úôd+¬ð€8›ô ܦÂ9Oï; Oí‘)ŽÉ]jKÿ]¥ Â[àÿ‚U¸\Êb꫆twœ¨ ¡ ¯§@7”r0Î÷tÀ7@ÓÙ¨#Þþ_Ž”¨Ï:FÔïùkËÒUŠúF„aãŒk!ìÅ´ÐçðÛŒ”L¬ª ª h†«LË´QÁópŽ/t=Û0u_i¢WMÜkØ×¥£y%¦mcj’•ÿ£ÞqS;|³'| —$6wŒîl9¨åºWÂÙç þ_Œ—Ô%Usœ¯ƒçLrft"ŒNψ‚A—¿tˆ¶Bê7ií,Ç­Vbu7Îë´9› Û¼'Øu)>£éyMƒ4O7údwų­‚߸}Þ ´ƒ °ë'lÂ1m§ÊþD˜Îõ@£CòÍÄôŒé‘Å®ä Œß ŒvRw… ÏIçO¼#xÔN¬‚ÅÑS"ÆHòvÛV«,T’y¹UÛ“²}ù-üÔ¤ÔØð¤Rhw,[ú/?£e_»j±a¶Þñ¬ÚG±³•ã”7ªE‚ÍZ eïyOm"ìK¢|w‚òý Êù€‡.Ùº6JƲ?¸†k¾Õå& bgTѥܦïqÓÊ¥ìÓ9¿±O›Ì‘º‰škK Ô"ã %1^c&Iδƙ’8Àh+ûÉ ÄqíUùEÚ ¦mæ…â9éAª– |“ºøËßdÇ0M¨ð $Îý?½öG®#Ž@Ç‘ªVˆ•â¯„—…?|Ø-XRÏcádLÈâ 2Ѳ&·D“m–½{Á›‰kâwO9䇣{Zká‹tô¶CŽÙ{*l»LJ·¥L ©Ý£“ç‹gï™rLbø{Ù%¯?í“Áö#^§÷»â¹!n;Û!AÏõX¦qÙ6² [¡70«‘‚ÒuôF¶íÉê Ìè«'D´<µgfeŠ˜¿*Yû“¤^É O§c¤å2üDׂ(ÿQñcO£°ú Ó¨Ü|;€xšˆílS), ÌÍHº¡š6BÄŠŽlC5ð_¡]Ž´n&ö)Ð𬠆%ÉøÏpºãК:¦é`imØ÷oÿþÃ÷ò¦ †f7Ö…xÌF46úñÝ.‹¹øŒ.>”ƒ¿²‰u-©ê5Ên9 ËíÛd„Á·-v€ _‚`º:~´m¢ëŠ^¯E¶; n£^ ŒªxP ɧE¡Ç©j®1 9­žÔwÐPøµÀH!‰è†aæpß8ÞL>äÒ4ý¯˜ ® ,ùo#…õvbakvíáð9’Κ”d|ËÄ¡9ŠÄ³«ŽŠU;±i+dóhñm“.ÊõåRt iþ!|°øößz²$³{îz­›,ì mñÝß!‡óVœbÈi›Fd¯[™6£´= `[§B-×ùÑ˨ý1d~ñ&µ±-¯„!•‰ýÏøghkž–Ïæ+žŠ”`;×K¡ixz¨Ç6EiQŽ-4:»giËFåÆL(ÖLíRWZz[¶§=¿­êUÛâoû›ˆz\Kœ<²ÐÇͲgêQðHLðæ=×—ùºq¹“l¥·†¦Nª.~•IËÅÀÌ‚”Ýà:ǺkQ'ÃÒæ5í¦V ~ÌO{/üÆtƒÚOµ @…ÀP*§5±/¾â–v6µÇf¸zäÈ7 ˜ ‚jZY8ÿUnïŽáD¸h>C]©¹â€ÞÅ°öýÔ«3|Uew0¨8°N¶Sd]|Yð#R¹Éû¸†e`“~ôº3¤ÆŠ3[l„FË!jHSI»ãu\ØîuY‹­ý¸j&6ó(HD!°·@5j9¸`š$êÏáM¡Í†Ë?}g„wn ýñ™­ìÑyPm-öÆ“êåÆîáaO?\’\óë—´‘-iÞÆkúâerœæWxû ºdºìi¤èV Ë5»gR|ÂCI§ N?bµ%fâNL9ª5Ï„—µúEÜ ½Hz¨ë„a|5й±ˆºÀGÒî"NÂ%öföïˆI¾t¹¡\›Oæ{~êXHÛ†^S`r´Ò0wbSÔL¿£ÚkèÞ'fÉê~ìr­P"jî¯wézÈëì)`œzôQ±MG¥«UácsèªÖTOì8oDŒQFIvÜAâû U-ÿš»-º·çšXsTT¦é9‰ ª‚¶br#›2ÌÀ˜jÝ 9¾Ìô™ê­™öD²æE¾ØØÝx“¢ÄÏ0-žóåűéÙu®WkUÀ¸ãh§}[vý4´Ï]R´*k2-VjR¶ ¼–¦oåá*öBjñRtÒ~.¿nGu(¾€ïªÄ –Ï%­xùòQÁ„ÊÍ& îºkÅ º$†fU9"‹m ·Ù«+Í-€‡|ˆMEµ.Hb½ÀtÒ¦+žæH´8p‹3Q`Àhñ@¦’:×À´ˆ7¾X 5Ì&m7”ïpž©•îb 1® KWã.·~Э†¾¼€¬jà¨uaf´³`^ îKÇŒN Z¨CdîÁjÇÅGµ4ÉŸCk.Ûœ¾hPP´ÉÊ ‡De8²07fY.Õ6ÈÏD6ejs9´YhÒ£€Ïx/Í5fÚõ@OŠúd (}Ô!àêƒ*²ôº`/íÆ´†‡/êÐÍÉ/ª“QŽ/ÄMP 55Ó‡JV°†È®LÃN,lii?=Pâ®1à"_;j¡Ž’æ¢i"O–§_Þ¦ËcŠ=͘”ãPã„”¢iïפN“ßH뱘Cz^¬ü¼±%ó þá ¢Å0‚>¼Çûxú‡Ô½Ÿ„›×Åóe%†C7 ÇšVÊt¦Lêâ1†}ÛIñIˆ×ãñ2Ý.Hš çÆÍ@€¥¨ ¸uÄCeR’>‘̵y§7^wbz­P²£Í-ÙP¿Méë’ߥ\G÷ªªÞ êÔG¨©ÕM­PEYf2­9Ü‹\!&ÎT©ÊÌŒðŒrt¬³ç b²ˆ'“ 7¨u-¢åuŽpƒ§•È§m€*6ÆÓ°”ø]¦Ê# aK§œ:,¼×¿€L{ÀþŇtïbn¸V…j*%_Žz‚*ÿbuBÓ¦ÉBJ‹lFWÅ’«34&Õÿ"Æ"º`é™ ¨á-­I3+æp0"™µUêóʃ½íézØIÛþeð&´«N&½ÒàUŒ.0ëtòŒžµŒö™‹þ2‰&#¾`›(Qˆ=²Ñ{"¤«Õ³y#óɈUÃZV”Œ›(|sgÁëʘs}Ú5õí< `y»t¨Ó×LíÌ4Ó‚$+ù*Øâ|4^nê ,kKÆFŽ+™–X%"ÅÅy¾ ¥1ú[/Òöì;Ñ(o$hE¬¥GtÚI+€`V×H;tRÚHô¤‹c¢›e¹è @Åñ@ýveÅ~›…—®í"Œ§—­#sÇ‘yÊf9[ó|-¤­ÁS÷±hSh¤ì[Ó$iòž£EqÀWÀ@Ö‹˜ Õ2©ØøúX Û6 UmGòà©iYÕ™5Ñd?YN§~½ ÔÍá½tÑt¦Z$QÀÚUH(Õ)7}Çn—m3³jzdĹħO™âizl0Žʨ û$Wªž¤ ·s{·Üeá¹+ó­•ŠðÇYõ{îªØ#lŠ^tÄX•ÇNûÔ »*ÚÉ.yúËâUÏÏ›ž¸£ßµ'p¡nxæ>ÔÛõâ¤bVý§žç€Qç…´ßqnp m8Š6 1¹2Þ–³ŠT9ý ú5Où\ÉÛö‰ç,š‡\˜Ö$‰Iº§Ä&¯€pŸ•Ë| qšgIÓAŒÎ¶šg$é§5B¤§°9EéÉ5{Þ™TOú6H8ÌYëšá¤ÖB‡´’ÌE49æ†YÍЈ >=§fÀB»ž#UÉS)ð &ÜžOÁáêÒ¯ìtjŠ9âc†ƒÆ}›ßíi¡%ÕÅ·ß|óà›o¾!ñ§,¼NⵚÍD¾ï´R-vEÚÉ]G·F7š‡ë ¸Œ,]\cT:®£Á˜¦¼7f¨IÔ¿³çB!Æ]Ór}gW¶—Ó!1°È?”Ñ[ˆ°¤qÄ¢CÓÖBªéŸÍãݾ¥í8ĨäcÓ)C.Ñœ¿‘ø®üZãÒ¦PþÀŸw㊹#ƒpûß½Þ©?GäîºKXõüÏ_¡ ?•:yô)õ¤*Ñ;Ïiã¶ò0­£>}…/ZÛq.BÖxm;äðŠ‰ï‹{#šŠ£j|dUÚXk˜CŠ'¨ª4ë¤u­Z#ZêB4PxVŠæµžN*yBA¨—–&€Ø2€®OßÝ!ß¹•=GƒÖq®€içªéH> ëânâÃ.¹ìú¡¦a±cƒŒp` ÒBj»Š6«âœq}©Lºk/ùËb³LYð7q‹63R2ZéÖ)<‰0¸¶›KôB`<ö?OzºO{&¬™‰”)´ž*‹Æ݌Ԯ.–xæs:ÓJÝ÷‹ßü¢k½˜xÛ×v¨ú&£Èd ª_§!1ÛáäÔžrò¤ ë1²Óر’é!>`hóÃ%Ž,`ÛÅñæ‰ïù£ÓóŸg¦hm=;õ C´Fóž§ÁªÇQ Š]ˆÔôü<Ãì6§~' ÈLÉtÏD¥™5ýG½ÕjnOï™@’ïç\JQå)#ʘOÿ[NâMþè3Žm!µçõºòöVHMÕõ_…&u/(Ü”ê™Jht O[˜ª‘W3Õ2#õZâZdŠ'O^Ü(©„׉´‰wF‹øzŽ Ѳ÷éhpú‡DÔöÏòEÊ]¿Í×ñ¿ÿ(ª–ù€·³L8u·Ù;Ãú{Èÿ*‡†©jŠAÄUa6GG$;×úÑ›ñÆvß Žž™ê(?Üö—÷‹WÝ‚D“ý ŒÕ !Šãbjz!ß%C¼‚K f™íê8(Œ‹)L¨^hЕÄy£‡2@3ÒVCY9/ Dýïpf¡ÎI$æ>•‹(ü ÉA¤³ {ŵD ñjý¶Ñl|阈KŽUÌ~43:ô=gÆzjHZ`Éu/Êꘋüõ‚'1£4ƒ¾&AkWÁQÂ@¹Ö#'þ¶ã)ÙºdPá§eÎ.(JrÌË9]? ®ÎN®2¡I–rSÎH/uÓó ïèBš¾±ˆ=ìÄXÞ`½æ:©¸€K¤Xn%­ù{‚Äñ‰zÖÝD76nL¥¾xÆ‘Õé—Wý%íU¢Üã8ëe~wßÍÃCeRL ?Nöïÿ7]˜ ½f4$ +–T{àêJP Å9Ù8ºsaF$Aý94;wŠöCÃsP:•ÄÜ}=¬E2xà’ôK÷Š{dbìÓsEôßGÆϺ´Àfyä "Øa_+ÓʉÀ-©M?žëšäõrT=§ï<…êïÂõb¶®Ì¬7ÎÈjV ùz Ãi‹\Z-¢Rtr0b“èfí„ëˆÕ»@lТiI(:ûæ¶)õ¨ZJ²oþÍ1{#ÒTé¸ DÈj¤¸Â/B‡é+Ìbc¢®@œ¥²¸7ýÍŒ/cAƒu…XìH ƒœsáª{0Â>uåëÛ4•ÖݱøÄÅrYèV­&¢—AëPÂ!¦"Q/7ð7rH/”‘àl©lµŒGÕ¨ê°ß‘v_÷NĬ©âeYv ÓñÜC\Cømrgâ¾)t6Æl)—ðÄ j]OsõÎh›§Xɸ­ÈÃ’ñ…‚Üs¼ÞÉšgª^0ÁE;âcÐÖ ]ÙêH˦QÆÈq@‚=›”˜/²Xè0¢'èâ‹ ì“^Ñf¦ÜDK{ì“۞ĎƺX¯Ö‹1ˆDäW4w çµ`ÀycKÝÍ¢ñ’4¯& Í%4d\-Ü1“¥q›þ±Âì WùËÁ@·4¶.óŸ&|æoÔ``Úh®Ýª;x©Sª7úÙ"/iÄàhåˆc*€2Óä·J­¶ £»k×õà¿ÓèškÞ¨ÖùÏ]0Ù‚Æ]¨®µƒ®‘ãUÕŠt*!äﺠ}`8±e*/à~°Þ„àø4×[`¢‘ž†´Ñ¡šÔBjfÄy—Ù˜ ‰¿•䬣Æg]Á5ÍŽ%ƒV¤P¦/³ ZÔ=:2Wm£ûš# ”W®r Pí˜C*v¥rHe—·_ ^ɲHçç(e±_v”™j³°Ï=¹ýèý'…Cad´Y¼ ·š#` ý'è·<ý LQ§üª±åHBGReöý¿g:é,$&“NU®ë À¸°]¶Ë,T÷¦o¹5!V­»r>­2Ô OFìâ¬÷“»73œÐRµˆÕ=åžhpÊ{VN•ËyvÓ+ž »‡¤ž~èÐî+ÚPI¿ªcìShwß·›œFñ¸­»—o]toÿå(xÊóAÎãœ}N" ­Z~ï0çJMˆfŸùf ¬ÑŽ £`(¹®ƒôñºFËæ”®i õ`œ{áȉ „¹&5ëú¥S†ßíðÄÏo„fã‘fÏM",j¶ipJAzú3ÑùK i¿lz*Óy eœëžcMã;K Ãj[Šãœ|UìÖ&ÉÒ8È`˜ÐLíp(»4‚c¥wþ®1å `ŠÁ†B‰­D•ŠW¶Œ¦Þ‹LYLIúþß<íý„´)ÿþ×½ŒA;U‹tÓg47–º?F@q¹$a#j[yœ,2oç©Ïè O¸Ù‘üšf³Žê‡`8Z98!ѱxZF óᙩF¢Ê^qä5#Ù¡àsö{Ngh¡œ¦sd"½1gÀ*Mv™ú÷†¿,v¸àQÉЉ³l13c|B¶§]ñ<ä ê½Æ4G¹¨<|è>K\"÷Óp.‘±¹'jrÐMV Ȉ¬ ¡¡^ß;Di…VuÍaÙeÌø™½‰BÄDœ6´³˜¥JÅ}΂ҪT’8\'9ësAzùˆôØz” õF—ÚÍÔêçG¤Å•f!X=Sبe™$Ò3L²É-ì.I—4u&Ä­H­­õ‹V_\áw¾È[¤¾Í{hžõ”ëgÿ“¬‘å‚qr¨ç½°$Iô ½ñ£\hlOý×" æ“<Ú!p$<§9äÞS¯ n¥Û\k,~yzæµS¹àËñ•ßô+ÿ^ œFg|±ý¹VÓæÔ£}Èy3OåزX›‡rÆ^þY àË"P9ã[ç}­*=e[¶ËjMÿ¾cŒ$"œ:3¨ÉÒ§Ú¤”ß•I!Ÿp¨ÃkÙ§õL Ó¨ÆP<³ê‚žwÞ¸«?¿ç{s›Uó¡Å¥+óŽ«œ,çs\øDÄ¡â"ß}rxxØ'ò÷&¦¤…,f{›Tl£‹ÿè´®’ €¶Œ—ÒÀ¦‘z~z@rˆÚAU#]Î'ñè¾'i޼Ȝx }úž½ù+ڜ脻’ý`݈ÁÙJ£ëhÀøñ+=†RTGsÆ%°Ì¼ÙxC+"›ÑÒ†Ešf …¿Ý66Çç¡q¤ÛOT²cLL `GCòŽùâJŠMµŒæ™÷&v 2äÕwÕˆKL‚ÔÑ|É–O»hAõßVc3ü<߯‡†¼Náàµ)ôo’Ê=^à ®Þ¦â=Gâr8¼«è½L³>´È}€ʃeir!øNê"䎺«ËÉy·Â-úÆ“PJ‚6m逹°“’NŸH½ÄŒÈ0/ï¦ WcÃÐLÀ²ÍùLýX󤹧bZ4#ºi1Utia.«w¹7y²t‹îé‚s-DxƼkÑ ô©£ÃZðHäÊK9ý½ðÀs{¦(M1é‡)æø„»ÍБZKňžJ‚ °»jMüÛ .U‚äà¤Ä™„v­*ÔjÕÕYjÙ5Òcz‡ˆá(u‚Ð;Ñ,ÞACalåKÜq,ãË sM5+rÕ.‚ßÛ\¦²Ú^Ž&UæK{ w`­ÀX;ÏÄ\v2 –Ý4CxúgD§ïø©2l0G^*ð1 G\Õ·ÑhªŠUAºÎ˜µ5Ê[Åù` Jѹó7ë‹Õ £ÅÉݺ(;æøsºmôÑÀ¼V™jÚN#!EÌ —C"“º¯‚ˆ($Ÿº—sÌ£p”ku)¥ùó¬ƒÚŒÇB2Ãa±V]²1)né)±¾{\h‰õ£™I*K5ÔÉÃTS}{a삧v6•Ý¹¨3ʼnù]7r bXnCwæ Ÿ‘Çåo]˜\ ÊBu=ì‡H?ey“g˜“à®ûKŸ› 2žåFÁS×AÅ>öÓœñ_§¾€ç U—œóqX¸)š³ŒhôP(ˆÄÌ7š‹Ž4”qŒù”fËaÊ.X„íxyd_"Gš%ÙLî'áN\jyUpxg2Þ?ÑäŠhòZsœõô”ëè¯ Æ3!±db²æнØÀK9¤íùÌÊ· ‰Ð~„RsO¬G‘”âƺžScZþØŒ|Ý'ܦaÊ7²6¥1HE—è“ôÆÓ¥NñTX­,©©–ñTþt¤+òè,Ä]`à~œ­ýËîŠczæ)6éJ"÷`^#½—¼…_Œ\²svÜ|*èLéÔH•Ý¼çHŒmþ×É7Aæo"öä˜fŽ#8œ ×A‚<«€Œ=æò_ò[6ÓÓ±I¥O¯z¹®OQ%¿tàØ¢ °aÚHa$¡büuOkæåó¬Ò±€«$|=Eñ®¢2z 6­h«J%ha4/Ù¸F!É‘JPÌ—cª…Ò𧙎lÍÑŠ=Þt¿â¸Y-›”dˆ;ÖÅ_Pšc‘$…LuuÅ”dÁXÈUâŽ3pÜ7vßÓ®Šb@„‡‡¹x(YF› £"4ä­À¤•D]@8ìltܹ©(eïÒ`U9‚¨S;¡†|†µKË}‘™1,Qè4¢àk¦ÛâÉ‘ž%8_î—Ú¶ˆ?ŒØ>µAnœž’hëRÏN„²aúÖèfŒ>nä.ñûtKq2ëöåc¢šð/‚Ĺ×Otq¤†ûšsþrlÅim^Š¿¢8^®¢4ú»½ˆJJ»ÍX–|»„ëg*ýˆÁÆ@st¬’æF‹eŒ’”4¡ŸŽ¶NñŠL·c’ tÊźɬ.êC§”Š<®Ð€fÜh¾l“ëáXÈÛY7mõ8;#îy¾Kª±8çyz××¥GâstBP£yJZPò$"¯^¼¿@”‚êè$Ê÷!Ú$Æ¥n}"ï6²“YŒþèÁoÐ.1³xžE)ú2 †R‘¶Jä©éôÓ'›ÒÎMV=ÈjÜÓ*•i3S’±ì‘¨@ Jc•‚ÎÌÔr¼ÒH þðñQÈþz"ÒÛMÂïSÍÛ_[L£þÜŽÄ$®R…ï îJÂlß ±Cè‡/qX.3Ñ¢ÚØäÆkv§ÏÄSŠiŒ•ZŠè~F\4uS¥Õœ3Ýà‰íÆÔC¢Î@ð÷åE'¾fZü­ÉRH+DÚDÝž¦'°ƒ¾ó„®aWƒ{¦ç±'#Ü¢gÖ– HfíIëú°«ÍÉöOPƒµ’Z)Ÿ•åÛ¦GÕ=k¿£Ú判 µbÖÿú×õ¿þ-{¸kpÀF¾Ø Ÿ$›¡Ó >^;›kc²y9ç ®QŒƒô‚e±?§³¼å"ÔRgŒBn¹šè¾áࢄnêZ¿æ p=žéã~¨» õ¢ÞÈy¦Êºd®ÝŽª‡$t⌿B-‘v}¡`›Êq2¹‹ín1a¤o Ùô3/zî‘šI]†ip?ˆž–̤Þ7IŠæÒrEYÚu¦tÔsjn1ÍzÛc¬þ½#ež"n±XUfý#öôd¿ï™²WÀQçþ)¥jf*'ÙÆè|öHðœ6ù­º*vÎM¦üc–sñÍ“‹gÿáÛ‡›f·Ý‡Ñö]Þ®%Å$möŸ"6ÎoÖŠ•Þªð;7þû(fÂ2|¸žûŸ½Íº7”Ÿ.“a$c Bb~ú¼6m+&ŒÅ^Ù¹ÒÍøÉ›oDì-ð\ô²ákÎ0ñe%_›϶  äWë’dF9*cf»j*ëzÓåRöë’±Û²°Ä™Ë'd¹”¿MX‹„âûob‘¤;‰ú²ÂBÅrNá/?8Bž¢Æ¥­C'ËÚA×cë.]Çš°”@·D?ZT¢Ÿ,ƒÝË è®tyrJÒŽIJ­<{[Òs ò— U"Ùu¨rd §)W)â…>®T’×€ÖЬºOà l·²ÝTriâиpu©¥ØíÇpµZÜd–!c88˜ì¢i7L€G46sg1Ù£‰Ü º:ÏV\'þ‰rP6Íÿa-ÿE¶ŽÈc¾Hsl®D7Ì}=™´êç½ 3§þH$ö% Iºª|ô뜣ˆ” -Ì>ÔÖ7Ù˜o LYY›QÂÆøŠZÌëæÿ.||92—œ¶Ôfh„#çÚœÒ㦵CQ5‰¦×/ÞØÁ!.ü\Ÿ;Ç«¼îÊ®xUë®] ÿò„lU1îÿsÉ¥MŠƒcëlK´4ŽÅyÕ·zPø?îKF«."Çì3ÏpÅN8nÙ¤@¿LÞÏ»FÒ–§ÈX ßëc0Ô¼N™—\}îºÑÜv ìóReËÂÕz—ŸøK‡ èÓ+Ær]4Ù¶,Í„{߬=]­çÂdväغí"ÜJÆ© Â=篂ã¼vµ ´òpufxléshi§¼§Ð†£Kˆ(Ï…–æÝÎõä9J@^ñ¼GÅ÷O$ä“ë~Ãþ&H}´“ånRÉZv®½Ìzs×·P]9qÖ˜³,þó?‹…ž&¿·„†¦S ¶pÂ%:ÝŠÙE‹º^âè%Ñš¡9L ïàpRÀÅós¶ ÚElÚCŽÇ"i³'ùºkoI£»°cF"(­xåKh€z±ÏKµþ&G¶Ø$17EÑžÛÀ¥‡âÆÂéÖp¿ì8êÔq?kzQ½g@³&%2 ƒ‹Aö)‡ã¢§Ê¤ëž1…¶•ô[‚å-Ѧnb[Ñ>3N®ì»®‘ƒL2Å„s e„ö­Ð&Ü7Pa yî'’ è9 -›ø' ºu…â Ž¿éÐl Ý»iûþSÏt‰‡åúæB3²”κÏbŸH#ð˜fž•‡­ï¼,ÌžPÊîè¡2]ÏW=¨Rdmg½è'ÓiQV¾@m)Áÿ#0S™;\¸M MÐ^žým¦` I’„‡7û/›Ð#M{˜T>šWm²]Q7´X1{0¼{ñáN³e7ÅÃäý”N‡×kŒ¸5uÐ\¼š?ç=å ¦pè,­§\ºú#ÔKhÏ­¸i·½³ô{ŸJ|X¡€ ÍwÆ¨è ¬ ä"ÛDEw*ÝlµËžð-¤ç ³ô\¦sEíÅ[Ë–f!-)`¿’e ™²Ó}nEƒÛpÀm*‰yÝqŽµn—ì·ÙÌï=(£–é_rª?ˆ„è xìÒÍ~áV©´Þdº•]·Ä¡‹Z—òÌ°wÃŒ{]Ó,‡*™ŸhÆqô×éä‡KzkKßQî¼¾¾~Û5B¼ANVsX;6ãëI6Ïú÷2QõOBF03Õ"9ñ;ýWˆÎÚ=®¤U*0ß:ôÁ¸Y2U{lj}5R÷[ÈHùxN}HÍ lñôP¸MÝ[Öã§Uu–¨ìXªÆHŠ"÷úì:ve›—Ær7lb–`æ=#À_ÞÐ ÚV€÷¡¤gÑÔÿdcåUŒ»â®Hî7¹qÜѽ ñ_v6è÷ºkᔜPí†e &:‘á€×é¤D4iˆÿN%&ÂRZ|ÉÅ ù7 Ñ㦠›Æk8Œ¶<ÖØÅT«TéRÄi¯EnnÅ8ú{PQ í+Z:$Ï»­ Ðô†ªù:‹åô-óš¥<9C1.UrEÐßÅ·ß8•è¤ªz›ùûcf?þ È÷¸BÞà ]×ð_Ø™jH2™Jƒð n£-Ê·ÔÝ0‹C¸y†0æIOÔáaŸDzK ÷¤n6È);ÉLö)S0Ujº/éhiíÌ"q¾Én XýN¾/‘eùQ®¹­yž«cš¢TjÁ+¥ H:M~!ÇĉL*z£’9ù“Äú±« €j{܃0‰MØ)>¡ïã\Ï9|ú‰ÅäCà ²O  rŽ}²¹ùÓZ=ìý@³WÓš6üfÒ¦}œûš›±AI°ûTPüBí’RÂ/β^J$pŽÿæPñg“î7éfÊôÊ 1þ¡·æPçÜR5’a^©B?äÊ„µ‚C…‘ËQépN©˜AÅ÷AÉŒÍ~u:O?HµÏ×í'’MLJõ«pgƒŸgîÜ6Z. WWÆ5xÉ‘¨¿f©$Þ¹…·¦\õ~Å€‰f½3Õq~ùF$;nˆpX1&Ž×3àÞŠŒÄÀôŒíü lËŠÅ»®y’Cj²ÃæÐkw‰$Œ‘ŒˆJ9Ž Æ÷Dé 0ÕzØé¨ÔŒ$áêfY‡7úvtªjF–ˆ“»ãò”¿1–¾v×’·¯íä.KA¬‰ öÜŽú·Þ‚ÌkÓ$É3ypVü&í+$æõà‡Úþg1Ñ+MÿVnú,…1ÞÉÛõC€é”ƃ6Oh…%½DÝŠ˜–È»Ša³mZT蛕b89tM]¨r&© Î"åýyRù.ªL=•x•‰<ƒŒ†BHÕÌxb«uˆ:-ââ¶eFä''ZðTTƒÔ§ŸžÚä äO-d#ц³vÒ[ÜòL,îzÒu›©IƒÌ\¿qm‹Þcú¾©ï÷št´[ì&úŽ§¿U†wÌÇŠ@+‚h˜nsÃ]Ž¸ˆ-)Í€¸Ÿ ‡Æ ¯éHu ¹qùý¼ë‰ç´éN ¬½µu;­`æù{3²÷µžö‚‰Ó{„›ttyPlÖd6çú±§¼Ð°V‡É¤ç‰¢¸ó ¡|Á^Ç°{¢ýhœ{º.8Zo#ï“hMkÚÓqì¤(ˡA &6„ýCݽsYÓë¨~‹2­iyêÊ”¸E'xŠOg 4æ:ÓŽ™ÚÄãý¶»ò¦zí2Öþê0ºèS”ï悼 i÷ÁŠe¿‹9'‚¥›<´-8ˆT¥zÃy×?„Í¡µ:ŠF2úz;ÐJÿ©m31Ëh(N¿¶sÚ“uãOXšïBÀ³stlË©(€ ¬!Z6·ð“ÖÇð#zD'L¥Òv‡‡´ÝÝ= çr z½ÜÀ뿆ÿ]r¿Øã`&ÎEDÍ'·É³ÝÆíqï¸$Á® V—ßãï TÅ}LçÀè‘s<›¶^²%-Å7¸<*ÎŽ4«P¯§Wõ¼·­ZÚp.;§cF*»gà6‰”nwY¼±ñмha!Á8Nom¿‡ü1Èc±¨º^òìUG:i¼»Î¾}€?|I1¤]‰½‚ÎüJÅ^ƘŠEV)û“Ôfî«11ÂÌéMàLœ!ª¥f:)Æ_ú&p-t3¬-µD|kv?!EQkÎw1â&ÚDEëîçL U¶¤Š·W F@œ Õ/Ýú‘ÂôjUS8ç,ÕŠrσý,…”aàh¹iXžuµˆÅ½ÈÒ¥WðÓ ïÚ °I;" R¦gÆ~nç¤äx}ûU¦{àªbǶbM9†SeH¶ZjüÙ3컥ô{ËcêÎ²× òç±èxøÙÍÀû±9¬Dïù ©þÂ¥ÀbŸnö­ z‰ë½N£û/ö©6æ€Ùˆ–;·ßÕóÁO>~J,$Ç?†€üY Wzr‚†:ËÔ¹(eY.gœáÓ/€sœ9TXaôYÒÎÑÍœ‡ÐÒAPA¡THœ2œZ¸¯P#ÎL[ŒKµ¨hsGF}²õ&µ(y~B(±¬–³ÂH^Ò·”M»P©ƒu¿W3Tö´£baiîi‹•šÚ*œfïÙŽ–†p•,Øœ ô…¹m’)ÈÕõ⓱ ˆÎð6ž¬fk‡º­LÑH2 æ¦;{R;|tOŽ„8½ÒШ4Wù Ž˜˜b”º’ ûñ)皣í˜êH%9•‰P¹šw½/AÜÚ¡^=‚¡J¶QÃ>ž´êÆõJ/†¦h¦ªŒ‚À9pÌØ X0"TG$nÐM«8r·@oƒ¡kÌ ,:pï—´ä)æK[WðÿNm9ꢫ’tѸ^"ÙAÃ@·@N“j&@r)0z©ßFFÔo±#Ľ…9v™®W4}Ê%$ QhöxÏêY±Q¼„/[·«ûaEÛ\Ã>4¾îÛlE¢ÑÖݸøê…)VŒv‡¯?Ç°vQ«qÈì9­%7ƒYqÚëR¤ÍÆ¿Á©Ü"Éi¦›Õ¨ÖæÕS» 5âHD_C{žÿúQ‚žÿä$‡ÿ¶­Ðͨ‰ö¢‘®€J"u)Né˜ÿôd}£Á±Ñô¨kk+É Ë1ãƒZ¥èjä tŠ… ë•SÚía™¬ˆÖ¨‚DFe ¯ò˜VI›ÜBÖxxD{J¹v@k8ÉfH3)}ÛW¥èq™R~…TËÀ{&=‘z/Sž%8à5GÙÖ½€Q¦"p~K/I ŠååÉ;–d6Ú]«üþðº‰bAé6HvIGL 1Õ}Ø—ûkÛì3N¾°Þ\sÿ’uoC3¶˜Z©&ZŽiá™F€ñUñR-Š”$†f{ÄÊ"Ü¢‚Óg‘ÒÞ.rMâs UIÔbªáÓúáiÒŽo{â#ö̘ 6Mû.š?ÚI Ùž`Ït²T0‰ä’§BãžcM!Ú.Dëƒ K‚±šÐF‚-jÕ xW[Ô*ÁÆâÇÐe äû$ÙÑì”$¹ÊLÁB‡;È´kV‚B“¨–ç·ÔíDVKEȦ%Wª1ò|F² ÌêÑJv —ˆ£—A:X‹ªú4ø§KŽ³ÛÁÒ/fˆ{ª= `%çÉŽy–©Ö$3›…¼9OF°{¨Ï6¤WBœ$é´£ êx†ßw-ê9½=)i@o(9ùDm:áºZ‰¾1Âû'¯.¸«â»o¾ûF¼2H›CEsèà¯rjñk¦†®Ù»1ãJ`²ÿ¾×þûG${ 9R™=yIÚüc¯åPåZ³Â'ÖÁä_÷Úþå‘xò#:ñÕÌd¦þküõ‘ƒ»qeöMªbx?o‰›E¸ômÛ íq¯Ë`tM“œI{Ë–$¦âû¿„„‰Kžñ†ôŸè$¿è‰´˜ZÝ»ÃˆÑ …åŸv,j3_a’A€\]ws)–0øCoÍÓÙ³n²‘·Å[!'ß©™?+FBÃX=îêA:AÖ|ƒ·z$ª=œuÔ(ŸÜæk†¥&á`L;Æœ±-?ˆ2±WÅÔ W´>í‘ž¶òN¢NÚp ÿY×ÃcÞÔÕ­$àÑWÚÈo¢ËZ/ Ç'/̨9ÅTrêM5v ‰ tÀšœhÃǵ¦ àje:¦ÿÕD! q…(½—Ǫ~™Ê¼rmCj6Ö,è`Ï 5}kdpé¤ Ê”™tæ#ïtGÿ ½! #‰ 2wj ¢àvט‡·ÆÙ{OlË!;¢÷ÊD€ß—Ñ“Ó íKU£GÀh’Î3×ïàØ Õ OºB9 ƒY±ÙÚc…Là u.‡±@)V ì¶ ‹ùKSw¬SùωÓSaÙu‰/F8M³VáœÆ \߉vÐ%blÑ~èm p¨X‰DÎr9Dö±¦.]‡è}ôÈR §4è.óðX*KKû= !©ßP#AóøìV“К†äGSÂÊ6s\û6_ì!ýéfÖ¡]„ú¯Òƒ§½‰\,Õv¼”m,× ¢§‹‰ADáÇŽæËHŒdEGúH¬±JÔ»ÿPäÎ]d‡Íh…Ãh*~ÎÑi«­nÙ kJÇכЈëã%‰ÃS!ÖÑ”Qßýæÿæfi`ÌT°úZdÐLàû—÷ýnŸ–Ù@N>É÷Ýï»o`­àX*Ïp56 ·Ÿ-œïÌxà_x4e¼!í£ó°§b:‘²Ÿ7×(ÉåI$¶í ä)ŒCï 'Û‰G"æ ¥n–åêGIÁ:Ãüvå/?ÂåRðš…Ý ènEZùóJÛ¶.9,YLÈ.J´zÌYb«\mF'õÜ¥%«M 4ý Ú.tx«» 7È/)€µÞiˆhìÖ$pÎcj¬(Òck`¥% kºÖùʱ׽½¼2Ò—Ô,Å0=®Ò’°ªBÓ¬z¥º@wëºÉø–„wEk­%Âük24B­ÇNÏx,들ŠJáóâEò…£ÿ¦€Ç¤#\èãõtI{d7ÊDü^œD í™1fRÃ.;:㘨A4ôßHä­È‰µfny^ëKlXhµ•¯ÎÆÁ§ãå\l©žú–4Ú¥ð߉εHz‘9¹WL¯ÌD @d6Ö"š·¶ ñJ¨.D‹È73Rí8Bº|¸ë–èåwô™eÌÂjlšW“ôÅü£ªc¤{;(Äv—À h¡ù’Â{ª+˜Ä>"5ªÌ0;¯A¤CQÁƒU)3aœÌÉ*p2…:dŒhÒ ¼…8ó¼ìNÐO3½˜Þ4%i­ó@¨æP·ÍÔ4 ²îÅ2¢¿ßƒµþÛo¾)¬¿¸¼NÄüddòyn¹/âjn1…¡OèKYžxa‘Û ;)\…pé´Ñ˜Gô·æ* L›§¬ªË¡ÝÜ¥£g/SS»û¢ë©Eü)cOLu'õKgQÿ ø€#E¼ Þí¿§áôíS1³æßå­#£²]8—$'¼ÉÃHl\D«æ¡îì$­b„[=À¯e_wáê…¿’vñ˜ _½6:ýq>¿|ùõñÐî¤ÀX(ø¤ÒÖøZŽ|«ë “-ªI{»vøÅ ©b}+$'ÐÒ[ 6ûô=×—ÃuQÚy‚¬¹ɶ›†ö´iÕ/¿¨„ºBçÁ±Ìeà+j•ö¦¤òfçi"ø®:J3C>—øJ‹ãX2ÂEñ÷·¦ë§¥‘qŒ =W©€àyG9½ÿ À²Ä;å­ANŸÜ/þÕ1œuªÒ#Ô çY㌹@(áúþ'wÒOØ&[ö ×rþë̦'9l¾êmÇ.qd³În wNŒÝ¼BÞíÈp7ì…©ÝËؤò°1¸§{ü[”sL)“Mÿ\8í†#t‡‡'sá>Þ“®™+îê„ö’§sħ0ÛÛcÎc?–£»ÒãJÔ¿¹)´Öu`ùS8+‡Ý”¾aEôâ/M[!•N§V¥½Vå³Úº?®U6ÿDœÁ¤›«‘bc)ìl0Yaà"ÞËÔ˜`”^âúYâîž¼gÆùTœrÉnÝ$×qå‚»‚¼Ú ÒDvh¢ì.“‚Ùð‹%f˜‚–/ äq¦½VÇýf"œâJ ½éxr5â‹™~0‘Sxý$³ýÁ]a`Þù#¾q®êÍÙ¬«díŒKÔ”ÄÙbeÉv˜¯C¡ÓåÊz#çAsÔƒB‚»æ … ªÙã…ªÎñý­#%)Î"Ù,£°V‹¨É|AWÇ£•9&m!/ÃâØè…˜Šc{…F|É1 +@JŠçÑ “c¯Vï ÊÑ?,^¨FWmÒ¨ÕÒã±$ðÛ zxÎâENt2BÜñìPkј€,|Ñ9)‹zS€´^'ÎJM;R:ôŒVX1‰hþþéÛS¸Ú®’SÎћŒ:mla§z‚tO½ñ‚½<ÿáƒI/’±Võ ¢;O¹xÉŽqÏ‘8™Üzœµz;iØ‘?£ƒÚ¦¬ RÒ!2­Ô²]™Ô¯zh…‹’¦ÒO»A,˾¦¶„¡»äšt W7N+Ä_P>E{ h9)šçÃuLÕ¿(Œ†¸Ù²«á^/ÅWqƒÆ™dë¥eðXŒ–÷¥S-¡ó¢G ~©Kñâ£f È•dê¸ÏDÒsÚ¬DGWl×£®1È?²ar` Õ£ØæÐ¥‡¨Bò®-öh†TœÏ$>€Ø¦r)ŽºC,6•ÏÒ4¹ÉPØŒzáPç…âð-‡H_J9¹Ø–ÇH¨à‚á¶@a­×7#Ò‚¶•‚ØBíŒøœ0+¸ê‘›bœ€G¸›V‚ž0b‰ÊO½šÑ³jh‚ñVDø¾—q ·.â…v…^%¿5튺ìDÄ£»Äx¦f§‘Eá5A~Ã$® *ìM2Q:Æ#N¨‚oJ,W¼ÛŒô¡#Ë¢ýL¹òT}FO ¦™Vå?Ç›"ëN ±.LÃRfÅ.þL…'_¤௫E‚ŸBZ €P– =’S}ÆxÕHN¢%5[:Sì3z–D”8à —J>ßfØAÊ¥ˆÞ¡Îã¬ÅXdQÓvôU|«[{xm3C±›9´ím¡tÉ|‚ >PV¤QŸBºHvé*‚ô›&‘34íkƒw=}[™‚KWqèMŒ[ó öXäëßÎS£Àt)ÐeßÅHL5Bm–Bh¯{ÚÛ i¤‰[u¿y’iºê½-bô’`pÞQ§)*‚¿ Ž/_A99]LDÒÉâ}p–/jÆÇÓbÖ}¸—ðÇåßضú€ª“Å—¬ ˆý"¥|LH^(µp÷ æ¤yŠ8Ê:wùà•Vt"µ†„Ã7¦·_9α6/LLÎÁ 0äMç@B7Ó ÁäøYBu®:2l&¦îMžñ„ö°üܺyÏ´ê¯ Ïa»NþbD…èÃZÕi7Û6e†žXDŽSiYŸ©\àȉ;LQ'‰¸Ÿ¦C”fBëY5®õQ72"齬{‰Å»‹ÃÎýÜiºüÏíHßoº£+77vË°Êt<¯S6Ãõœ ‹NèÁ[k«TU¬fšJ ~IÞÛ„H~7cüCUS­{–'`xˆW!FÜ=Ö ÝÙ3¾ô gÂ!ȃ*/SÉÞײÇ}ë`~˜AûGšNìÈi—‹¶V¢O§å²sKWA,F Ÿï!Ù«ÉÒ–íÿGÛŸ?ÆqÛ‚°æY÷}'µ-[´ýÚòzÍy3÷nâ*4$^ù·ìîDw¢«*[µlüõ'r‹¬%¿ûͼw-"Od×’•KddÄ O_Ù©ªiƒÏ’óÙÉ 2¨¶hmwÀ[âH’f¯9lÒ‚.ƒëN,,-Éý誃§´9âLŠc5‰ž7—½ŒÚ€^ohÅ[8 R1¤5=-œÍÒ#9Xç ª±ÂŸë±S¾ÈO½ÑYP¯@×ïp¼AŸÉ|ò5Š*”<°ÐNrô8ÁPìç}±xDŸµi‡(¸òf#tÔó‰ð°ò®jfÑçî-ܧPDb†ìWðúÍf”+}å=Örë,‹vL–‘s9æi"Øæ?Þ•ŽÇ ©À'ÆŸ–㔄e<Ý‘&÷­›pWùÁôOµæµHÆ h}ÊprÉñ^ñpa§ÿ wöÁcΚã3 8-cš•u„àÂÛäv/à‹ ³µÖ-§²:V¬]ké;Š]Ã{²uœ{ f’f8•{Y ç\AVÉßÄT* 2ë÷1v×"D:l€Î2³]l?E½_r&…‰nj \°DˆÒÀ¬Æø·2½‡ƒFÁÙ¤Ï{<Ï]õ ¨ Kõè¾›Ãøg*ĵìåG®JZÜúA6Þ_®ñÙ R” ‰>‡WõÍ^~•¾Æ´‘Ù3Žþ8ˆ¯{1œéè Øø•ð ÒA’‡«IÂaÃQåeOìûl‰ôð·}—±ùE縓׺“dou]·«òG*ƒCˆX%;ö–‚Œ¢U¼´HN+AJKw;8uR–„óØçNÿèf¬³>U¥*4µg¸üÞ÷‡KgÓ“Sƒ²°i¹r`ÎÍNÈéÕ{ø}6j,x½">Ϙ¶n'E~óÍ è¬U~kÐ4Êìi~H °¢Îô¸ž)GÏ5Øîç?¯£ðµ™Xœh‹\S||û„†ójí±ßÜÛÁ ÿà3b_OÓÌd²"«c…ƒ< k¼ÏÖª=µ´®¾Îzò§ôºÇda»º.,õðå¯Yáb>v‚CÈÈHÓIwCPn_ÌiE™ ²ÈX刨RïKÓ?“}¦%8±¸>¡ Õi>Ïl…(bwt5ˆ‘¥¦î³ð‚—[¬àãàá›oÓ(·Á ê}ê¸;zùË>·ñ˜lù~;}ßöuÜÑ~I§«%õ/ÒàïTÇØsŸ Çé¾M[Øè'Å÷îÜÕ©ÝfŽì2jŒÐœ–«èã›V)¦ ÛŽ)kOœá?(׳z¶é÷6W?2 sóHJ¤3{¦}þ Þh} Âå˜àD|3`-N:Æ´¥×ª/†dîDNlI®J|àäös² R¶uö/$<Òœmèºäc“µ7îs åÞ|²mß’®Ö´®Ÿæ«T¬–ήKø_ºžf]ñÿ;é¹ .E rÇ^ÃÁGîÈ’ÌÍaíXÍýi—Q|b"èŽp.6›Z¬PÏÔ†¨†Í‚ª£ÎP /Zˆhdz¹·G°Ë0G{¬ÍÊ §o_ ”ê $tÝ ÒœN­$' µqŒ‚<º¥ë}d^ÃûÉ‚vdÉÏãlÍÁ0aK5€…ÛÔ&btuMPü=ã~·&{ˆ¼‚3rÆ?Þĉàv¬Ó÷C0‘9kz<ĽkôuCÖ;q²ãDÀ'üN’µ÷6\ôYðîÛ Æ.~ð¢ßF‘ñ³è·ණšÂ‡»ƒt¾ž¸ƒ iÞb<¸‹¿ü}“úÒ¦–ÿ|yKJú\‚ã,&ïÌJë*ÃiÝ(Äfµ4;ºns›æYQ¯>a[^'f<ãÊÜ4QD-6|/AâiÉ x ¬:¤Ø$2±5àt¦âjX9f<á•Ü¦|-–vaW" çzÀ†H*Ócdà‰GÎøݦ!R€óYç‚“ ;÷p»räLݶœÊ¼rC¿Ä/ÙsWÎÒc ûÍÑ‘áèÚ&·RRÄžXÛ•<ç°EßØ©=(LQ®ú© v…'¸®\näô”Ç:– 3Wè’D°y?¼-=v¢§8+üÇßÿùî 5kúìÖ€eEOúŒíõ[1ÛØ°xÔ éÆV±‰^ÏôÏúš¹¥Ã#»XOÝÑ&©©|ßNÐQ±oD¢gšœì+{«Ë ž,`-ëmÑNz å°ÍqXþŒç‚`øà®~ ;¬Ÿ (Ëq/½ß·ý:‹À»ïIŸ©s pjŸ22_r x87ùcÙ_œÀ%»Z¹+ùÑüQT]„趲›$aNÀt#—!õâ<ãÔâìýÅI©iô’Ãjó·ƒ°ÎÂÿ.zOj‡™\ÀY0Õ÷òó{É 84žjøJѾ‘s$×Øs©ênŒC:ÁÁ4áQðѶÂÞáïûÚÛž>@–Ž¹ZöÍ^¢Ã¥õq™½œâÍ°2‡N~ÆKr'L»G]y,H§qÇ~™­öó ®Ì¹_«fbÚ¶oeH««Äf¡Q–BûŽµÌq¯ ÑÖu¹llâü|½Š.~êmg¦ÉóáÿÇ•À‚üÚrÂ8@Ü-Þ4 ÀµmhËOËK<ª¿`ø"3!‰¸ vô´Ö §ÝíÔ2é|“ä›?>†§ÇãËÁf)ˆþ<ø_ÂÓ3© ?/2¿¾¢SŽu"\IúA•‹Ucä7ƒ€>Ù+U¿æ¾KbkÖì=`XPïžæ‹ëýXϘ¨,¾ÖªUÒ'÷‰>(Æüm3Åø Õ¬æ$>oE=í~måôÏn@™6δ ’{“Ó\í©H½åiñû/ÎCýD.'¨¼YÇûé´§kO›‰4ôÝï«´Yÿ„0‘l– ´­³}ÁœÃ\Ê2*ôÓH@&‹–£ÀÒÞóšízŠê-{¸qgÉÓo{=¦)Èî Ö³ƒÈ}˜Ãå‘O¨ËÙéaÅÓh›ÒîÉ¥:3µâ†³-q7a^:de°ENÒÇ¥¸GE¶ðH¢vÞ«Û®û,3U&צ~VÞЩv"–¤ß¾íA"ß·‹~±PËͪS4tU½°Í¾J.ŠÔt¦57 æE?îiKä¸$l{Ú1SFæ0|Š¤Ynúœ •¢òúR-i£×—S –yºs¹µÛ¢xqhhÜÛÔ¼˜:(r¯8ò*µi¹»‚òfâ‚37eœ1=bcºÂÔ5KdiäNGÃÇ„.S(—8ïÎt5`y6RzײMJ  "u¶Zo¦+Ú±ÈÇn…' {ªóý’ä¬ØÅž…„¦6ñF·%¹leˆË ÔX6CWDFé|*;ã%ó”füŽ€øâ[àK{$#(¨ ïÒå§CÆàê(-¸†Hï¦û¾†IJOH75ì–SaøîkD×Å1q IÍXO’ - ÅvÓ׋´ø1¶ L\i⎎¿í§b ºÁ?–.=§/“wÓeào~¸Ä_Ƀ’:G6¹Ñåð‚9A§ð,½!`ˆ×õÀ¦Ó‡Ô—ÉÜçÅ»<·<¼KÚ¹,ZñøY` Z,J¿@¡Ã4ÿxa+8šºÆÈëà¦æJ> £È!—Þk‰3V•“ ÓP]ºÐƒ™¢ŽÁÝJÎþKšF“Ý/Á{ê<Àê9"´áóf²öKP<%ö·OIn_\ÂQH'<Ä%XüÕÿÎá¿I¢Gsµ”çôYͨÓ}5Ä1Æl_2ÉbÎZ|%«:8€s"n=º±ðCcLåÌ›oÌ=aÄ‘ŠS+7ÐJvcì*AOÜ/…:²Ä9@!0Ü·½—òÖ–dî#t’e^|l f´ë‹ÑãôêbÒmU¼Pe¨ÑkàçoHò|lŽÒ™Á´š=,¾¯+íØömœá/CŠÜ°‹EOÓÊ"±µ] yi] —|ëO¥žÝhR·t™õlßÎW­ÐbÏ@%XN%rbF˜3§AÞ˜=3蕸Ÿa&†ÌÌ ¶’?õ‚^®oJKõ˜Dmx [Læ5APÖsþ0$SÞÜXˆI¸Y’ê÷Tåqz§#.æuFž©#Ñ)„ßáDA;¸ Ål~¼p[ópæ‰pèR檼ÕÿæÝßà$ { ¸ ¨¼T‰\©o-ý BÀ\(m[Ü«ï‘ ˜FÕ)FE"„Ë Ñ‚þåØ ^÷*tæè ÏhÐ÷´‹èbæÙïT©~2 9‰ZßÅïhÝœo¬àIã&.Y׿£ýý˜´ÿ"ü¹gäÛʲÁîΛóqþ;S€mnÚãóGû¡?e‹½0C^øŽVÕbEÿ;Ä¿>ÇðQo‘"ÉÄç'ð=ÈA뱯‹ËuT¹îq#K×ñ¢¿3±ãüŽ¦¡6eiã²ÈÚvõ; ò1ý¼ÄJ3ï‹´3¿Â2„Ï0– DaÆÖs"zIHÇ ãÆ»ëô¸LzÉzú_èjaDDӅƸôéi“ 0$Œ*ÿ( V‘ÊðÄw ^³?Å^eËYŒÐûÎ’Òe"¡jñ]D.øc™bÌúÈìm|Š×ÿŒOÓ» sãéO4Y@;ˆôéŒ0_(ÿ°ÂÇlW§£‚?0›2¯õ5ÔGü±E4ø6l5¶>§èÓFp6¯gÀ~²¥_!ÌðX7}¥¥ë2‰Ê 禦›6¾·£LÕ-Nkšǽ±â²å~| Ti' ˆg)ÐÉ»&åü:½ÐãBK¥ð•nr7¼<:VìGhÐz ZAjT>ߦc.a0t˜­ÑG…®')öùšû>,(¾ô3‘%_qB]AϘ5É#åŽu=šu¢ë)XàÁc"ÏVªRH'Ì£x÷/¸ ´O&4ØXÓ°+ #Læ±·}­YiŠÞVðlCôu ‹Ÿ” ÏÃc‡ôlL>Qì!H>zõFJÒù¥¿V¬¥4é îB‰I­rŽãjyµ›¾šE˜jMUZÏ¢Ñô¶—÷|´]׫¯qȵÀÏPIëJ¯ðSÏ·LÛ‡3×9’_¥CŸwÙ™ËÑõUá½Ïܨz¸o¼;ç²´‡™› Ú*-=‡jdÊ;cYwÄs6]"lÈ‹}±+ Ž”º˜8.àˆÜ§‰IÃë4ÑŒ²\sS|ÑJð“¤ELIüW˜ÊRƒOï=æq#kwðçMùb’è ö_ðfÆ_Òá»|EÒŽ4ÍÑÌ¥çñ_o˜ˆ6åh¹{Ð~qÄO}ÃלpvLš‡—™ø×™xg<ê¦FË,©¿õ‘¹0T3ÖQ'~m£QçVÀ˜›bóÀQƈӇÛYµ´·‚"ó‹Pcf, ‚N$~íP«²-ˆ)ðM…Ð ë¹á 4öêþ Oàó’Úc«é'ó¥)ã³õ]¯±vµŠéÆáè:K[&<%Á²VÞ›#Å3˜/'sN!ã¸ÝKZzÂ:÷)]i¬ÃþëJ´–ÅÓjn››¢-î[1™Ü83]:£ºäaL刺O„°Nð¼EÎÄÃZúžv¢I9ñWyéó,¥ÈTבšÀh4³ `ð?øÅô-z`nûvu`±T"ÞàófOñd©»Ñmƒ­y ºoz¶Þˆl¦w¢l4×czÄ·¤äQéç#8z|@Ö1#”:JŽqW2™sh:ögOWË6žÉÞÍ-2©`À!OiF•~ì¶Îî ·Á¹E2m½â°•d¼¼º&HÛ”óA6ZjOUN¯ùÐ^cä!Ü)w‹gšµðP÷¼Ðy³ ¶•uâÐÚÒªïòÏnø:Â\}–aìtã6†‚©ÒôûW*—¬$РóÄdå½ïǪ$uµë‘¡ö…ö… þ·ÿ7ÿ–özÊ+O%˜Æ Bek‹•q{_Ñ.­@¶Ý†Ô|ÅyHú²KN Ÿ®BS%]dÓ”þûWZZ¼þŒî“êË«Àÿ‰ô°“Ç:Ýï09¾Ò1 žhœ… Êt‰@ö×ÓœÔK¶´ïË,6ØS@yé’r}‰%ÖIHñ››ìÎN@nÔLъÊ…¡kdø©G> êãfqË è²sX:áº7£lJûwÃWh9ÛC i‚L^üU÷ÚhTéà ŒWü‰>9+ø¥Ú{ͱ.£;Øe!zkÞÛ.ÎÀç¾ë™µ€Öôt6‹F³ ʆVúÇܲq~þä»>}¤K\à9 ¦²´\\K‚—4èr_šóB˜FÀ­„v!-×ncÆñ]o» aÎÑ`ÕzÁéFÅšŒBÔ‚ÀiƆó1­´š!>º2Ù#ûäPàțQSn;)5|å„'D íïzÀ¸ Ô$‰f›®ˆlÇ•sµ¤…ÿÀe/Sé)9¾dZÌÔ¬ŽùK®1 +g\W³í„)pI£’þmSo?É¢õN_ÎlõiŸ=ñ§,ŽNï(Ùjlå•âÉj—ªµØ±~Í[¼mx„­„ª O¨œÑÑÀµOõJË3Îç^*qG¬ J4Aí?A‹M_w¢&bWtŽñ†I°R¢T¤oîiÞÍÍÑQº^íl„ïÁ™Ÿ¢…‡É’öû³.銶ø$3éŠøÏ"ô ¤L§ÓÃïúf¬¢òpfçÞnÛê0Þ|çÌD°5“ºïuyçÁ“ÛŠoþtÿOúS±õàQ̇µóà9•=xS;^eäTå̓]úßNÌ|¹óà-U ÝbçÏo=t‰Ÿ9 Iê“ ûÉÇï6ž&IøbgvÔX!F~|šð< ®G}Jè8™ª]Iº.2Òƒ)-é­Ä= z’âôLx6xHzK÷ØŽª–‰]3ÔÜ!}5žÊ{ ­H¥n´+˜Z„üÉN‘ÐÌ5à’Ç]ŽeaT=çHRš ûg#ø"Å\FLäµñÏu_p—_vІ‹4{"Id݈I¢|7¢Ìrü’ó·°uÉ°½<Æ(ÞŽ»Hì[üK/竸äs.£^:±w)…Á"Aóæ\{?j5ðN‰UÄ6ÿ ƒL!á4¡Ê •_‚>cŠ¿Ìò–ƒjg½DfX»á±H3‰AÚiŸwb•t]ÜÄþ_ÝV=“r´1°—ë&´Ü#Õ·.â gH˜*“%I ;üíîîßÔ»éÂqÛ‹J¸ œZ–)ºÓ£±ÍÄX¢~?Yä³3NZJRµ¸è‚´„­žÚÄ3•g–™uס‹ÒHhǃ1¿PyF4rzÉDvh2|ƒx6}þD6zºûR˜¤ËN‘E×)5²h–[NLscËâ }@]p…yi–ÚFz‚<Ï#Ý$+dú€ö¡-góÔÍbÕˆdðLãÔקsCê„mñ ü$FP8žâ²t3c0¸Pl™…‰sÇ%‡9;!2cDuÁ D2óYÕª2ñM>)WéøÍC4QOÓ:¿ä3Uµù=¯‘ÉB¾“%õW´–±ž¶Ÿø›þåoùïÝgøelg¾êæa ¿æ0ä½YçºÎBåøÏ5!Oi¬]–Rv·Ê_h¯Ñ“‰QY3Å‚SУñ  ¢%ºi±köû¤OrËöU–Œ›¡hßGB‡À—¥&=º4l[ªï-À1NÓ÷T(Ó~&Ô›é*rRì¨=•,(4xöö8N&±{–Óbì­»‡¦Ÿ}o/wÿ8á öøâ9_$µ$å¨¢æš ·?¿'ìà6¸íxÛÌý‚ôЉjèƒmKj^üéðù›¤[¨ZšºÛ‡–RY¿+áÈNK8e*ø°Æµç,Sþ5¦ŠvVª ÿ–¥¼Ó—¢gy…9Žô²Ï|›®ÅjØZÀE2gKáb‘ÝA¦Í•B_ÇÐÔ;–úäu!Úeê|}Ü‹NáSËæ}~û[¡³Íh‡ÞäÁ¬ñ4è±1Bú» FXå¹2Zó7“ðïìx›"=ÐHaÂÕ˜Õ$Iÿ—¢ÊÒ„§§eÆw3+ª1óyñm¿Ð[6åß2¨© “¬¤þéÄ{½NËÌ^ÏËÝ`aàéÌFMÉØ’êðƱ^úýÒ¥øŒunÄ:ÐöJ$[“[á[A¬ù8×Ù]eÔ³±ÜxÄEïßùû&þ挗%­þ`XäÔ,­Åê;sÀ’»àRŽ¦³„³NX0c )ŽºÖ‘(' ç…3©¸áåòaë`3á$?àXC,Š×‚³YÈÆÓfÏ™3ã\ν†OÉÖT•˜hï}XüÙ«§ühÉ`ªk¤¼(Y(p£nU ¿y„<1ºøó°Ùg*%h¾‡²ž® _­zºBœûl‚5kê̤ñNVÇgIåiXDÎ,-hW´C_+åÇ©…KÀÎÓ@â%"Ùì( lû©/že|Co¦s%“c-Å*2s¼KYãzfYZìˆ6Ø0μ·ÃÊ»–oLLl€&õž­¿ö£kÉÎ(ÉÒ˜æ\jû ¬Ö»™H žÙSÿšpR®Ì† §‰Ô‰ {¸ìàd8ž6óØ)WGnÞï‚)ÿ8ÞSh·…ð¥^u4£÷eƼKÔxS"Ñ{ih«‘<–¾¢¯ëèy~ÌøPÂp”»pøÖÀ£nƧ[ñÑ1lWH˜Wˆ{ij^2Ø<˜²±¤¶Mï!S‡ û šsq«²unÐ/›w–­õ‰‰¦. Gpb¿£)ÞŠ¤­À¾„ðÍ?ÿñѱ빂ÄXe딩Ý._L ŒrÚ˵·]C/D´]ƒ[>ÚìÀ£³ÞáŒFË~ýb°M¹ÈªÐ¢w¯øø%Ú@òƒ<§¦ŽÍg]Å‘\t1fZíŒQ?Ø´³¾äp\k×t*E âƒÏQ/雌–&96NþgüHIs£ÃžéR ËKÛûZ@0àý¡îÔÌT;ü‰‚OMd§ ¨ -vŠ´>ŒIp¥óF>,–Óg¡ˆì…¾úñN ×>…¿‘±¦O/¿ïúzÚƒª$(¾Ÿ1üÂâ“xb¿]1+vñ4{ÒKì“b@Úï¾I1ßWvê ÄV®§4Šök¶®hÁ ê ÉØ;˜e ¤ŠjúbÕ#š05 z¦M¼LƒèlNRì•]‰Zf¡æ¥FLzzèÒ.úULJ׶ð©Áªð×ûÌÏbiãi‘ìuLýX-ŒZÌâÀ€{=¾éélþšqMðŸíp>x?Ýâ ?)Õì>Ï añ¢9º'E4DÊ圔#Dƒõ;ùÐäâ¿v—%ºA^ó[#é™:pUlöX8VÉãà¶Bã?1º™pf8i­ÉHc8*¬9É™›ºSo­è¹ù€•ª•çïc†ïA€ð´T•¤s0½oo£¡Yó«¿ŠÇuuvR¼n:–¤*·@úÙ†´ Ý^—´¹Æ5jí-Âm×Ø•\s*b¹oû”;”6WUš N¸’P2X7…º,jˆc”Añ>ŠHÐôZõ‹…/Ò eè/ê§ô¯Ý§[¤:Z¦€ÙOð+§±B‰¬ÖÔI”}¿Ú‰C’6ÏëÄqeò¶/µC V™m]öï‡àSœ¿ -ƒ¯-|•R2æ€óÛè©xz¨Å²)Á›eßê¾JoUÃf‚SŸR‰³£z jGZûº“æuÆi/yΟÎ4 õd°æC9m^N{ä3¢§„;ɺ}Öä ]  ˜H# ïu|Ê!Io8É€Ž<7¹ÌôèÁ´`«i#½Îð *yŠXS—AÆšªŒs;Z¹Agyé„+‰Œâ@¯-×vØH•÷˲ëTZ.;aOëM£hNÞŸŠzlò4£×\ªâuoRËàFlr>ûÝ)Z‘F‹ /þf¡‚'!¶y¤þ·ýÔ%TW .&NE×‘Ï AniúúËs´í/XgúڄǦ¾ƒHÖzcg¾ùŸÎ§KÍJiè]¶vŠ`·zÔDµ‚w Ov [Hw–öË~#l§K±«?ë‹•qÙ×GZìÅááÝ ;9½7B>M3–X ¤‘M3%(ÙL0rvÐpÂæöAz¥&FLî ƒ>ÉOÞw^Úhmj7J½1¶eÑ"*6ॅ?ùTg.óÔ2íÎ]ø”p!ê]‰€WXB8‚Å_DfÒbs&ß¿]è)¢Sço¶¬iÞ=L×VˆW.Æͪ,û0önG|À[z`zv *‘”O¸Œô*JcÝ48J1“Ì/WZö8ï »ŸÇÕR¤(¸äÁsvŠCHð¶™ø“^¤C uÜij—Î%âÀm¶á¼c@ÞÔ†íU_ó j¾ÝC0Èl,þ—ºV')Î…ræï°?2â ¡“þ÷Ti“4h÷‡Nq¿¨-O»â²Tâ$¹SèOû4äIG« : H2SãwãÈ>Š+LèÿRH8nÏñÀì¨÷_BNsJ(~é‹èT^iB`!ø¿éó7bŸÏ$Ëq&Àùø¨•ï&(*Pü©ãÍ/#Õû:Áë;µCf¬8ü°x“¹)0Ýu>4Îm‰”(›L5Ñ軃cÔ®õ6@éáp…qäñ³ã¦žív]Æ«âº]ÄNwHˆ™Êq(íÒ)ÜΆùOO:Y#–e”[Ò¥‘£2ê!|çÍóœ1Åùäç¥4u}aʪ/æ& yêLý˜#9Fü RF}–ƒ˜¼„j”&;`¡!KCÿk#hë@×û¾¾-uú±'®ý¡PèTr 8é‹b&våÁ”{ jv¹^’6”è¼XЬ=žöæ´_ ž<ÔÁÄRÁ15¤ÇIܜ„\Ü™¶DƳOvrëûìCÎi]æ¿Ü`¬×àú«ìÚÚFâ¤WR>0ÐXkÚc=D0×!B"q*Kƒæ66îNpßÚÒ1â‡0W–ÿfùËPƤ ¢AŠ,íPíqj¦S(?±MJ­àyEߺMîo–èÁNœ>Ô!©2mg&Ù¥^ëæàßNÈR_×N±9ÕâûðnáþãÆ«P™ÓkG‡ó³€Ò1ý xÁóE#&ïòŒ60Á9Ñš[õŽGôjvÍ}Ö¶ÝäÌIkÜŠ]_˜Ò…¦u6CfŸOc%l+8ó=±€¬*Ù7VUŸâqéVL¹WöGâÔí<`œz6rµ£ æ¨àSº#¦§ ÃÛ•°ÂÄ 8R˜ŽÆ}Íúæ\™i?1¥öÁ£šµí§1¯0.ÏNΡL“Ref0­¼Tb/s„,$%œ$F•È¢êLRÓfµ¡è³—$6˜ŽœbÁ8%¦¦ÁÁìË ,,?ÌA¥§ºN.TÚ<î÷:ÃÏì!é½Åhiº£õëd.EúÖŽÓ~皇æ5"rêüPñ e2‚!àž ®Ý‡¹­›áÉ#»ú7à“ŽÓñ .ã|µj ì®þÙzk0¡#Í}pWê›áv£]<ÿ–éÖÁGs-F¯³Œpšgg8 ¸DÝ´ ~ ¬â, XÔ‚lcÑänû·†Õ0¡¯ä-«vóÉ·ì†kˆVKï8ZN¥÷(j8ÑiÄ` Šža?ŽÂËîŒß嬬ð¨»ê%LN_"OvêT—’,w¸éš.ž­–ÈÞØšví‡,gw¨Íünñ<ô™Hf…Wl[]ËdhÄHëßß/ä?î˜d+.ánL/_ (’ÔûdæD(rÜ"ÞöE6R«­Æµ ¿ÿvO8iÀGA3A¡xF[ö‘‘ŸÉÝz5ÝE>æÏÀOÿÆ+8Œ§“›+\§Að"~Ÿž,õ*Qx1BjXcáßf-ŽÒeEÚ.°Ûdö¦ÒaÍ•µðøç2 º®xKŠJÅRÅ×vW5XwpĺʮbšN¶Ã¶µMö|Û ÜÿIÓÊ+‰œéÃò .[±êp‘Ö©Ø/l¸ù °™:—.q‚Å¢>OPÅ×yJµöÐ/aÛn’­ p¿b³Ÿ Úéer’9ÊÅ?þô§?åWK–ç³Xb'¾oóŠ½Á~0úp­ß¼JMvÁ•ëÉ”¯ú §XÒmH#½Z›wÖ,_ý…„pž2ù&om=T)§’c”›eÇŒÇH´'8|øY® àCS/â¬ásÀq)Â⪀í˜CeS”l’eî4Âù¢çdöNv™û‘*û.kØͼËl‚NX$Üá®4ÒÍ2©­ü]ÝièÃbs¡I›rטۜ„Ÿg”²qpŒ>CØ++cB/;Ù ž°¯àpÍÆüáG¶ÞÏífÓÉSY÷Ä°KäÓÒ¨oödƒ0ÞT6È®­Ô\†ÇücÓ¡üi°ÏØÍš%"KAýRŒ:ê¡‚„Ž·ZêC8o ç)œ#á,­î4IcÐCuF—ó‚Û,x77wMãÌŸƒíætƒ&¬ƒXª‹BĉBÄ›sV×bYœ*“èü0{‰ôÅhudïøæ/â Ób,\7°8j]±.G=paÐó¦$Ÿ¹ غŒœ5p¤è“ß®MºZŠUÿFB¢“%9½øIì¾ÍÌ‚»¤Mí6üªj³¤ŠŸàr×ýF$,ÄK°ýŽ­ïV|n ðN¨Ž£\Z“a?G9gÔ qÆiþ1Á­hí6¥Àú‰È5ÊüviØÓW:á€Ào5èVJ¢YºþÞ Õ÷J=çÀWÂæ¢õ`àdî‹äù¦Ï$¡XÎ"„|°bÓrGŠpÆh—Bökä°Oa‰×"%wÚW3a톗]Èh#Ò$‡ä“,Ý·íÏ–ßǽÍU¤W~ëÁz˜xö$R9‘È-î{M÷š8¡\BÉÐàVƒÝ<õž½~¦e‹õp=w¥83¿–‰ài"„t·™ ÏGÉ%`¡9ûÀd‰S‚ üa]¢Æ?¼ñ¾vqºQšé™Ø dÕÕ8V¸æ+lTÖ¿™)¿O£Bç'X'~y‚éê&eïùPi]üÏ›&xgûŠ5 ?Ÿç`§’ËuœØX§ÞÇQÁÂаÝMfÀ ¨Á€ØNÔ$±}žÉ<;┌YüP¨„C:PeÑfMT¸* àg¬²È"'ýH·*wÈ?á¤Ápyš‹Ò§_Ôà ZUßÄ97ÜDZµ”¨.öê¯p¼mëkË np)¼ê໳’&qœÐGb –Yx¤&ðödH#ËÌÄ !"Ëyꔘt'>iÌ{¸óì4i̸žR0 %íÚò~ä»VhìõT™ÅìÝL°Hw´ÿÏr‹œqrøc¬Ä;ÔñØä"JÅ4‚ò;ÜMx @ÂISÁ‰)+³I„Ü­íÏ¢|3&<œÙN¦Ïþ~Éáã^u:>LA<É3q³¤-¦ áÚODéÂow§\¶e2U+¥ð$e—†ïïÞŒOEu’‡/Ôži8Óaî: 9ÿpBh‚‚Ê?T¦]ªë¢6±/vaû=© – §_îè…]š¶8B,¬˜«â m´WnÓA/­‹¦ïŠ¿ÿã¾ûrÉuˆîXª6 Ρ̑¼ÐRÓ{ÐÛÛ“ŸTÐÆ¥—»6†“Ýç ᩯsçÝÏÁU#^ä??¦yG˜èÖ‘³ )‚îú¹À {¬õŽ‘+3~”yŽ–›ŒÐà±AŠ SÜÎCN‹FÎQâQX~„š£Ÿtàhb¯8ŒnzGìc¦íùÔQš¥ªZåý÷+ÂlÜ!º½cŒ ¥n93Y»Øæ§^.S¨¸ÙZ%â YÄÄ’bŸ`<Îßèë`ÇRCëYòC ›ƒ]O Zf=hù—°¹BbÒ°#|~‡ùìiCüÞû}j\ªH[‹³²ÅJ%ö"ÂVHª ˜_?&'Ü5”Cßao£å`ÑçâITH^øJp÷\b(#3z™²ÐŒVƒh¤ÑŽ¾1ÿÒ~{.Ê3Þ'æFO³ ]´2³ÂÐ+ ‡éjq‡ Fz·ø0q±© ƒáL¤ƒ]ÿgŒ29;ûÒW4¤pÊÓ™6*y׸Îob*(âªO”Šg¼ð 9gÝP¡zd“„>ѪÌq!U™ÞCjé¢|+ëÚ-ã›ò ûÛõàç-ÜM›9çÈ Ç±WŸv5Ä[]I6ôÒOù¶U4WB³B|BZþ®‰|BHol´lB[êe¢K#•¤¦ÝáT(•®œ9‘‹¨Øš_ ³½ j^¶KË{9X4œ¨ý·kˆ„ÅÉF‹ŽE[üÃHÁcWpmàˆ©xËébaT‰rÉnM4ãMhñå»ÍL¢/­ÐšÑzH{3\œHSŒtž—ñ7B¦-ç$yÐ;íÃbxàûVØbÒè³ÝqØ9ÆmôL"CDÏJ·Ýk‰l¨”EúŒGÄg;ç¡·8àguG;Úwø‡þ$B>éðMŸÞQ -•AL—]ö&À«œ_å*P7Pö©×Yv ’iø…ë[\±lƒ¤$uQ—ݾh9ÒÍ`N[¦ÔÌ׸ÄSœ——})ΛiF[–jÂq>Pzà ›äí@ñ‚ÀÅž—K}³ñ"‘ªbd’‚[¨ß,…ª´´Ò÷ø$i¾ÇÛØFÌ41²\87K݃sQL \ÁgÖ¢7®Û¦“ÇS®†Ú—-ä€Âå;A.ßLÈsÖŒ`êwøXgXØ‚Ç{úa7¤¹K•É'YË”¶×Q´SwŒ]€À²¡¥E~áÎ Ò<9ÌLz15,]îgx Ùƒ› Î?;=ÀO‚b“‹FWÇ/û¢;¬—ü¦W¤De‡7sÑÓ¾Þ3Lß¾£”ƒudu¨…rùy¨365Ã@,Z6…Îóe¬ÿª5¦¥$ÃíÆÄê~í9—œm€ôE¸4¨š¾*jÒ«š^¼1²ÃÀÒ2óÑKá)Ò * ú°ûÐ4jÄN-J¦:õ諵“^&;员Ëí¢8ÌjG$Åû,àÜï2ÏJLȯÓW¼éê4­`|Íy:¼|àf=×åTzלw¸EN D¨t÷Îbs®„Å£“žâ‚Z_jƒ‰c’Q8´C iÉò¨°ÊßÊ@Ú]s*ŠÕ2Ž|Ž¸iþ…¶»‹Ô¯Ø ƘvÇ‘!>J&úƒÈça‡Ud‚CLi3i×½œ*1o™‘îK­WÅw¦xº鶜Ï=Ÿa%ØD&ù+(Úº…­cy¢–:=²ø\e)””7öÉüÍ…òË^Ýñœå´7t,’Ù¼B Ñ7iªÆwé\ôo]ÆN–‘+¡¼½ö4Šà¯?1pg‚.Zóô3ƒ˜V HÏ{Š\+õ sÙøæŸýÛ°»ºËå<ë ͦ!q âñ7õ ƒh”¬9¿ŸÈfFü_ ((Xo™Ökní \±Ížþá$ƒ&A_’ra‹=8U‹›õM# p4p^ð¸4 «æ¯3œI,-oÑœ´6DVóqfÕ‘ÁæN^KÄÅS«»®’“¶|ñÁŠƒ£"YË¿Ûú¼Ú¹Lמ*ús'kV‰GÒåAöðAµÑ$–È{]-a…-ÿV4ZTO;å"v]ÊSÈíà#Œl95k=YcW¿ßçë¢í¦nˆÐ˜ïôC³~ñƒª–&¯1øšï…{ y…æǘÍV4ýi½X>-u]ƒÎ¡/×…ÏY£‘q!W’Ð3vfÊ‹½aLʽp=I^õ;';+¤Ã%•0Fbãzý7Gë÷l»>,OõV¯˜* ”lõIŠ1Gºkh½›I4¢U§âÄÏ"CÍE!ׂP4쨶‡«Œ}îVî‚Y‡D­ÞQáÐrÜbñm_ÔþPåñׯÍaÙc{9K‘_æO/«Ìx¦3ÞCKòW¯š üéAàÃ9¬È}+Cöƒt`'Ų‡£½>òÓv¸¯ÓK_òEŽH–zRðƒA/OˆƒÇ=`oŽÔ] ÷Ëév£­¢²–9ß4çÔÅay+ê õr7Ø-j\ eר[èìq•8ÍÄïrǹŽœg§OUwÙÁ̉ÜtP¼æ‹H6IûýmÞ̇›^BßfSÊçAâÉú8Lýäûv.mR®RPÿ´óe8öBañ9:Èj¥ãa%Ú]ÒÄ®2žöAìo;O1óR†*Uç $õ^ëÄÉó‡ãd´>ô™z8­¬]Í$Wòá;É%ÍWùjPE2Ú;‹t¬z{XÕÇ¥q=¼ßhng}íbR?T¥ã efßÿ(®÷Y•ïë¹Z.WØT/ÓǸ>¨õƒiÄ÷Pú/Ú¹¦óóK^Ú´8áqšj½àŒöšÖÝa˜¡—Vc¸3ѶÐe÷¢S`ÛhM2«`h˜£8“ Š°vJ:¼Š-;DàÚŽÚ^r–›™'¢¹!Æž¿B{¬­Ü¡ÊzKsBÛJSÈéx*Uc¤øêŸÇ€oFb¸{P5C7ó+rÂýR™~ü‹Sè/Œ÷®£Òêÿ0ÏÏð‡\ö L³¦¶­BRÉ-ÒÕ*|.Ógxÿ°X¬l³ê‘¯vØDÒG÷ZyçEX`öUî<· ¾‹4äÊô$² B–ŠôíéÀø´ÒŽ[ çéêÈNF!­Ô,?1% {µØWÙÙJØ·l÷äãË-#cKŽÀ&ÚIÆ{}¤›ƒšiòMüsf6[ŧõåh&è“Ò$ph)]:}žÓd>³e:gÐÒî7ÙÒqîcIs83n5ˆ¯Î‡ê§,º+j'‚ŽêBB`ìNSR‚ŸõŽEâ9½B?UËtöA¯gý±øæž Ø:±3ïéÛÓ=¸Xäð§YV’s®„%óyw7µƒ¯ ø›ÿø&džõ¦1N÷a ÁwZ/Së0ìgŒZ3SÔ±…¹>ríàg6þ,®ï·">´‘JÃð·B=íD&ež:ãÚ*ýù›u(ì/í}G}Õƒxv•øoïdþ-va q®@룠}j¤pµ|>¢jÞ·ñ! ¢¿s/[†8!i1QmV•šŽÂй°c& þ|k;Þ(Çþ X8\g€žbåÓLsÓˆ™Ì™ækÄäÞ«äû¬‹Ÿâ:â’xaRrl\ã»ÁáË• ×mäu.°ˆÙÄU%É>샵b—ž§sÆÛÍÀÓ–¼mtwfg —G¢týoCôRK>£Û~Û¬°Óó?žãuܼ|×à”ç6²E·œ23‘r~™Õ~èªs[Tv‘¨ç¿8®šÁÆÙ¼:ù] pp?£ul¿p2—G+Œ]Þ,åk9ÕB&t^*Ê~™ç"!aÇÙS¦2C ÛÕÒ¹\ÁuðuþÕ/úz¯+¦}CŸ‘!šu&óä<‘¼Sþ†¿©ksŠ'§©ƒ+“äù¶_ººÍ²\Ûã¡sfVP|¸Åª€ý¬¡E%mdÌÄ ¿ó¡œÍ&—€rî`deAnÑ©­qÂp'äFryöª´šiaÀÿçÝ›Mˤ³ÒœÕ±|ð%¥ðNyŸZ/c|œ‘ëÞãÊGá¥w¢=ò†ºæP½²ô9‡¹N®²ðQ BÎáé–!!{fªûùmÎ1þŽXéÈÃ]èMï2Pçû:w!O[+^ã ãB³vp¥äýyu b‡´ÁÏ~p¼Qòg½ˆm½ˆuþ(,ˆÀ³|„Yë„q2§A#4Ã3,¤_m›¼>w^3›;‹‘`} B˜’·Sî•(à­[—³Gë%Ó½î$H€Vû´"»ÖRJß™-9{†Ñ´§v©LÖ€óø,°MÔtøAU_Lhï`iC’;²è½‹/ɶõÜNvIpÉA|„µÛO’ÓÚm'@gÓH~éâ¹×:lãâyo,›ëS¶Ç–Ü=ÁF2 ݺ¾“„È›~ÆRir? ûô2¹Ž}™K™3õЙ˥ã­¼ÚÛ¾Á,7RB+ú… _|°Â`A–µ¤Þ5q*g1c Ñ®§ºxÉÏs¹³è²‰ðáøõ‡*}~ÜžÄôänþ$h&})«ÒÂèºAž‹äœgxjTÝÉ>ÈÁ’É(| tÞC£¹ífѵ;TÄ ‹/Ò493˜]µƒg ÇÛ4bY™†| 8V” I 8ô. ˜³ËS]pT…‡§Ö{’â$ÂMù ¹{‹î|R q ø™|­‘èI Ò=þ©ç¸/ݧÁ¨†ëÀØÖsé®DæJAa˜œ‰’úr0;)v"6­®Öl‹p;³·Ç)‘ùƒþ›f³½½ àÈãú hR…a™–Ó½Nü¸tS&Y.™f°„C$Y8}ígœ°1?sþLˆâ,r»V_óu˜Ûý´Ì ^88¾ãà‘q._­\@VîââªtýÞÞ1·Ûyï½J„´â½kl= ñ0—iÊÖ®†$g–Ýs 3³œ'+íÚhaŸuô¤GÕ4ƒ ‡ÜãDcæpQ‡Mì§wŒiÁû¯Ói!lìºÿ*ArOˆKCù69£6mÆ÷AµÉ™;ÒG‹x=S4cEÑ õir¸ê‹¤×.TÄÌ‹:õ É"uõkd°g‹oôå¦w¢y Þ3z,µÏ¸wÎøˆè³VQ{ܬá€Æ.F2™j‰GÕ©,ôYŠ2S,ÕTUᡨŸ‹höxžsðaæEp•Avá/üNÉT ^FË¥‘ª³CEXdÂŽ«—°s-ˆ6ò`|# n’Nçj çäo÷Ëßœ6]™Jsq‡c¿iš"-h™N}Êx²-šaÅ-µ´y³W<‚¯³+ÏLW¼P­mš˜eõ4ðJ‰ÓèË@|t¹Ó˜X$ŽT³5G/<1’Eé$˲͂+#KŠxýpè%'¸YoÐDÙ|󫑘öLý|ôÂ:3š:† ˛ֹyd¹”<ïIàhçËGù-Li¶ [F^(¯Å–å³—Àð‘]Ù8'ðÕvL§>P>ò¿l­\P¿|§)|~j++N-m{b'3Þ~,26É¿q×®xSßÍÑeI,®1 „öù0Òöù›`뺄ß"ä™f¨ß­8óâÌZx•Qê6ǘ(¨ã.©Å{MŒJ­—+øä”q-ºŠ ;ÓÑ=yÈ_d“ó¯YÞ/FúÐxàó–šc¹ñf/Qøš%Mº½¥·OM±T´GX¤fZŠ¥Ž†œ=}&(ùiUymã¶û\¬òTÉ éÒÒnÅÙ5\JŸ%9Þi\/—â´KÅŸz±èÊ7.|ü‹¨®â-»4èèÓ5` ïÛ9Û~¬Eˆ „+¹^HSkœ.ÔDMŒËçö :žÿ™±Ñõ’¾W«½™­ä#¥çTc³2É«vXÆC‹=þÐÍï·k51ŽžâØ’©¥2#Æ?Ž­œ†Ú&‚´ÆpÜ¥•à€ã•äÏÎ@{Í t¦ª†ÙæB]™·¾^ëH«ÐwO{èe쬗<¾¹×¸$å‰AvÀ=ÿ³âp#¿¥Ù+?uâvqÌßxüÅÝ¡”xOR]¶úÖÔ2¨ŸÆs¡*Õ¤°5è)P†fÙi=}¤ãp #U)‘ÞøüÉ"öî@¬½kÚ-;oTêUÒ•ö RÕÐýÏbvɪ8¢ÙÈÔÂÀÝ9ÒZ¤­+*[d§¨„ù€ìDÍ ¯+1ÇÞŒ"—ä¼ÖœÂøyŠ^ rSðâ(d·¤LXêŸ'çíTá_ª®q´…$á¢Ê¨‚ü à‡÷iý98G3˜BNÁWÁx;™—j&nŠ¨lxQÒÂÖR«ö ›ÙM¼K'\•ä=àŠnŒÄàŒV^÷‹ÊsU8Îè­û¸h¿(AœRŸLŸ',êÙ4KåDÙ—¨¦ë£bLÛƒHU¿³cúvbèõ¨q‘#¼¥e¥Ð5´7†Öñd*ï‘v:± ¤GëÙ–«uÑN,BÀ[˶_> Óì5šS™0R3Çí¶tìkÿ oÉDÅl¨¥×ƒ{¼¢;"À ›‹‰Zºl ªh±Ö6èãdB<휭_ªxzyË!¯”³Æm7Xz^KÇ*®ðÚÌÖ¦/G~Ø & õ‰-Œ Ð"]„”2Ï;™â’å#dÉ&†ŽKÉ-ýþ‚åk %m+N8—#úI«…_¼»á0€À[d/†Ô!äša½aþw‘«ŒL‡êì:g’ìa—e¤‡p_Ê -${n³wqâj¼*möâßW ìß©D–‘¸B$:¬¹!JT¸‘*œõÓÿIñm)ž•Šæœ·¨Æ†H»,k\“5ZÍIzäiä‘‚ƒ­ Kð`xü“[üùOñ‹ÙO탷êÁÓ”ÂËFÕTþ}#…VŒ9@†§z .‘Hç$ËößYvaDZä¡’“û—‘ËéÙEuG É1Æî"¯ìù0r–0ß•qìÞ+ë˜v“ò}Pñ ¥aì¯g¼¥¢sÅ•€mëzm,ÑzxÄõ {\Ò7hØoä˜_>.[}8g[ÔfÖPì“;H¬ðaÉgQb©%k{Ø" +÷ŽO„]Æêpp¬.¤žh47Tyé+ÛØÉ$h/çüzn"‡ç¥¾åPeékä›’Dd‰°Ø¨7õð†ÀŽmå‘âsBy$y>ÉʤXÅK`£X¦_××¹ñ/HûzšeÆöø÷]5|[—zx5¼Å;Z-LYÿõ~äƒóiNu€­#3Ž#ñ ­âû£›aná1.SFf‚ š=“Š¿ÿ=Nss¡Þkà„¯eôå§Àù=•©³üR™ uN/ÏÛ¨á2xÙ&š²%aÍHà± ²O¼ ©lžœßÎ:ãÁ ö­xøÆ…ìã4¼`÷)#Ú¡°í6¶´Þãæå 8ÙoiG³«ïøâýxj[²fmg½h×±‚#鞉º’Þu ¾¨Ðê‡ã˜%£Uµœµ½ì؃¸ó^vÏ¥ÏÏKè*¿íÊÅÄ›MtFüAïûô´1¼áFpAJWc–6ölK“#áØëdcüàJ>ßêGߦÀ‹S8½Lî8ÎAH zˆÓVxî8÷19й/äáÏmWz€Rá˜ð@­h×:7Gµhª¡Ž/žóE¾çtb¦ ­uÏçw +Ô…eÛ‡â ;ÛlLõÆŽ™½¿V¯`d™bÓÑc©á•wÀÜJæ!œÊ‘*¢£)u]—ØÆÏ…ê£>­T§×¸ÏÿäbB²ó°k×´[š&ù¯|&„ˆ˜>ný¿’×áh ‚ºš‰øZO¬ÀA¼ñNÒ¿ßJ‚‡pã-°œˆ?—|¾oËgú@Øác¥Œ\ÞãîÌ êoÞ\øüK±†Œ™¾PQ\e ñt¡íùŸ¦æ¾À2dèyÔô­Õ?ßÀǸ7mv£$¾_|Û<ȱuA!£e ÷¹-)IE ¯«ëmŠ;ùM¬üµ´ÁlÒ£E sn:;ûšë‚\—YÐUÝ“¹® Ý–ö*Ô—Mñ–µh.â¼Dgæ0ÚÀ7rƵéÌë”/Æ>´ ~æŸ÷í¾]IÇg®?¡ú–×[DåØ…i›Š1‘m0_p(é’v¢R>‡SþÖ¾—/Ð âþÎ:0óNö=»ž’§aM›ÿô]£'‹¼VîO D )š x¤¶½5ÅèšË¨áÓirä3õlÚÒÁ­ÚD-ûr"Y¾â÷^ca¡n2qX ý†Ø¼ïŒ8”çª5ªNÓ–í¶€é 2D&gYƒÝŸ²Ô_w?XI©GVñÛ<È¢i„Œ5·J5b%ñfˆ¶!´Aâ$wª*4ÉË,Ķþ¡Kñ<7£ø¸íš”]ݽå³~JŠ& l5síâ’»‡Àeniî­‚)'çB;ò¬µN9¨‹+¦{ §šà pÖô0ÁߌBp87Ó`×N¹ ç#Ñ”·‹¯x#šñhbÚÖ6Ù{Ü÷Žµ2ýÌE'Hÿ•<ØÏç?ÄÆæÆ6Í ¥˜, T[+-ï’ÁZê—“…r§ùÄsÒIâ™É ”“ÎïJÊ)ÔlvÈv¼0xúË7Õp•“Λ¾Äi¿Î2É,íÎ{ŒƒJå&! á!¿ôÆ8oïi|etÑŽ[‡¹ïR€i#;+Uø«´s³,þkã•lÊ=óóÏ ¹Ü*q3vçMsV¦±p=ÈCŒ@&ý*HÙi¤4çÛ†ÿ ‘E‹` N»åªÎœ«|žêá©ú/T8*€´_p~êv`æ´Ä”ªËúS›L2®œ:75Ó'dY¹Ûõqºà_ê¸=üåÕq¾;ë«jlã¾p°h~KpDØÂT”Çp­èµ~*”Ÿ*ü ¿Ìʱ<×…Ër*ƒ3Y:à$¹ž£ «í´´dÒé9¶hK[Ç(6êã »6°E?S]Ëns=6éQËà¦cöt—ÎC/³þCûÇI!ÖÊ+€õ¤%U˜¾úãô*gYäZ§gw˜µ3áÀïÀG–]­rÿ´ŠP눿êÄJW­cÁó±’²–BŽO8t–Wšœ¢›îßtÔ1ám®>2ͤoŠ«¿;ïµÃ¥ã>NB (/¢ÜnìØÕ$SC>†[ç1_Æßôé*xD*š_¢æKh{*ú*ì†ã¼DÓ¬@8ÌäÓtŽ¡A>ð/>(^Þ£ùÜLèJ8OÓþd«nMjV&”—‚ïv蚤‰Ð$sÙ%¾ÔHV°ñ,Ûk@0š€5¤låã`“Þx§WMûÀ}¦ü”«ýKÝ‹Þá7Ä)5ºaZÙៃyÊ>Ÿ¼dâäkó/dhnœM“#!@ézÂ;çþwŠg}Q®íW6UÅãjÙ`¯£Ödiz ²¯“¬„R2Ñ´Ô®``† ÓN¤Y ^É0Wà\ué¬òVqÐÒ avÀö•*U)ÖfE ‹¤ b êAþÝs¬²’NˆVÍ~n‹ÿ™7õ‡n›Nñ<8‡èyK««ÖÓlí‚àÒÓ$7¨‹]û˜ÿ»¸¿-žîT.0Å¿æ¹às'èý•hê÷h®©`ðŽ·†• 'ª«µXKQaåŸF.yH?í¯\t•’-o7²‡ÿ˜àÆE2®7é%7þCÌ ç sZÐöLiiÄ gb\'íÏq m‚,¥uy)¾È’]ƒø_qû§zºó/·Á˜’]ÐÜ05Ó4KË]NjDMÃæs H™Æ©‡Ö“–¾JAk&òsÁ‰H, ðìž:W0ÛËÌ[碬î¼îTº®¬´ªEúHË|ƒÁÔ{–Ë|NcÃ\{wqkrÒÅ€±.ÿÝV/¼K­%Š¾qƒ€œ‹;.óæ'…Ìô2ÆåLûg=¼£¹…ÃüDÿc2Šq’zño@xÙªøËßÅ]+d³=0‚§ßZGý°e±wØ '«gñwñ¤§…q"Ö Â^öïuE-püž5Yã´lÉèð"ƒ錧“h‹oþ$p0‘l–`œÊÓ›Ç ‡¥K/<˜IöIMëÁÜÔ‚˜m¬±Õn™ãZºâ´ZxÁº‹í’Úo‡gÕÀ5­ÙhùuvðzÎ’#^¢½,ããy†9u&HR³[ƒÆTŠ.$¶§>Š0:°3Âø߈I¼z< ÒDÕ½[½!€Ÿ…Ó_MÙìY€"¾¥Q²#q<>}½ƒ¡ NûéñÅ›¾ˆåjÊÄN—ss«Çã°Ì·.W¤À¸7VuŸNß°”¿'NwwlO‹CÑõ´¤Í bÝ9s]1V–sÓ¥7êgÛÅtæ±±"HìM`¢ÊlÎW½#‘>#mJ§¬2ÓðÑOqjŒâ‘¼gÀG…‰kFµ'¶i€Ø…z0·¥ffòQTb¹!E„Å™ÐKé{nôKùî,Í–EÆ2ÔIÄï€yRmj-48øÙúIÕS×Ñhz)#G»6ÙCï¼·«“QLâ:2G2 £?÷ü¾æððd_ú»Ú¾ã›¾¤%úöpxRjᣊž;ã¸ê*`q"P!Œ1ø¹F¼Ãª«Ð@Ó#}%#˜sŸ¹ÊµZ¤ö½qZO¥Àµ14Â4g¤ÃO\®ÔGà‰@ØZœÑð¹J³Ñ ª›µ^8r~~å”éÆkVkv´¡EKÌî=B\Ð:ÎJx·ðÔ§ð·¤Ø½ÊŸ•éõS’‰ÙŽ®­}cÚÿöÞÀˉŖé0þ¢“´¤€ÑG4ÂÁÛãËô$Mšº Ÿ«^ðoô{{FÉ}u¾½øoqÖ\œ—CgzÛø„|éŠ3ÅÍ›®8›éiîHP {ÕˆE\¦çœ5 ®wœ=;ú_8/<ù)¡—„|À®gp=Ú0iTéè»,ÄhY˜â€ÉE´/Ò(Á3÷ º1]"ˆÝ¢*|‚¶øÝ$ÁÔõïópŸÞ¿` >Êm(A¾–ëRáv‚lƒm@ Lˆ8±éYÍ~T²ÅX-9ÁÖL¦ë¾*þñ§¿¤öpVêGv‘æƾRXL‡¤9(!Këà§;¬W¤oíäÔÊWê¿íii]e\øµ0eÆlxÝ‹œ}eÒöBÇå´Ý¨P/ª,V±S–°ª_` G´ËdjŸ2,&çŠÓíš²k¦^‡à1“¾pµìãî.A£üÕN¤Åһ՘ìq åGó¹j™=iþ½K„VŒoÌY€/5- éŠ3 uJ.êóÀw,8‹ÚW€Ž ³}âÏíÄR}eôŽ¿ž$‚L~Ì„ŸËµ²6ù 'Ò#À YëÕqØ„D»'Á(»@ãÕ4±%nÜ3‡æ»6¬­ÜîÞþ>ÈèhI·­’¢ó,‚6+Ñ;ŒòF¤Fwίw‡CÅûË]­Òg>ç‹Ž\nLt7—30W΂¤|‡o«žàÛáõ·ikÐÊÇeP’óŸ è·}³^w9p!à]qÌ;îŠwÄ…§ƒÝ:Á±Çç[tø9êxj°ýöC/åjÅÃÖØò¼0ëBè¾BFªŽ3Ö%%®I«ê'*˵à´U& É KrŸhé÷À4¤ŽÃ®%Ìg+Ì¢;½0úžÊ¶q‚0þ!@ßÒì„Áí2¸ƒP !¦¬†}ËeîºwŸKx'B3<˜Ž³#”Î"Îi¼þÿCwU3¤Mþ?‹ ŠÒã°k s©ëGè0Ã÷gSž¶ØX¶†/W$YÿþûYÏé5[Øb_úÍ_þ&¦kJ³¯@´Xõ}+VgšËß*‘ ¨·E;J;\I“lç’2éÓ,UÑÓ>:þ} ¨æ<ÚšVØ͆´(d¿=걡ª5éøs#”³ÚÌ/laXI)DWy¡ÀUÓÓ%-3yÍÓä«A;SÐ…ïÒnÚ/hSŽ¬ê+p¯/hCBWœpz:eFªÃ.šiXÍØO:}DÈ‘Ü+ÓÄ—pê­ mï˜ èŒ0iCÄôFÎv&7`´Ö·¹ï •Ë¨˜žæ¢ÌB·kUSRÖëéakY•4—ÍèóKnÔ¶äߧð7,Ëb×â(Ænæ¢ sy—²É]b „¬ª²[t–fšéL¨·|WLÇ›M'«ºðtè³"z„ð*™ûq¯’=1_®úieJÙ:­QÇ™ÍY€S®t¸á¡íäRv!`¹Óê•¿5GG*3ä\ ¢A–„ç¯r9໎¦«‹T›ßxIË'q@˜?»ï³á#Hïö%Ë'¤²oÏáìÖ¸ü0àÒ:°‘`þ&WkI lÙBhØ·g[ µ³m’”Ë«blŽja¸ h¿ä…€µóÉ|—w»Ò4æú©Ÿ¨óùü˜÷0¹’ô0ÙŠöU ¼Œ>ü¤Ç[ñiº°-Ãr;Ò×\¢{×èVί&»ÐŠÉ-í äïJðÜ÷àuCV1X¼„£á´k£ºËaÚÙ¡o{à$uiijÈu™? ŠÑ~›ü!Òk7x,óÀH “ø…H­~!”‹·Ú&nDz¹®ä“³d¥¦ŸÂî ÄW<Úõl~/üîì¤D«¸`Áßîl9év ºdœ#VLKÿày°ØÝØYU¤PbɾºÔpË¥0hœÛY±[{Ý"`!N<«Ö.M²KÀGwñ°ëÚΑž-m»¤J_e¬Æ‰¨õÿù?®ŽhóÛi®™»Ýf“ Ù=VE­÷[ÛG(„WÑÀéŽð± 1ßÜpˆ5Õª2 ñÆÉw§Ô*)6—\{°êз.cØÑÉѽB3&Þâž)‹ú®lƒ‰´£?¼ýÃ/ð?F¡Ï<¢&}üà5ýû8Œå;hÀ@J¡ øv71cõ§£O¼{Jole¥Ññ¥Ë®äÂ5Hµ¤‰^òØÈ,Oç<ú–>kÔ²NŽ¼Å³†‹~…òó»ò‰—žiÐê׋ÖÓôííů{U¿Ã›ýùOúS¡‹oþøgê 4Ÿí¥ö¤Û¤«Åø¦úS\l7z¸»óxóÕÃýÿÇvŸ¿y-ÿ>ÞŽá ³]’š° ªk‘S÷ôèÉ||Dn’ѤÔ;Ïö&™G/ñ…ù'£7oßì„4z3¢qbÒk£RoÒhù[QÞ3õžö,Œ¥.¦â4üÄÈý¿øu~À§i½ZaðF=ëÆè]ñç+~·ËI/püŠ ùßÇΩŠeOO]Ð`˜RoŒ~³#Æ3QJþ ŸP©Š+ jÌãº.JÓÓLõ÷{Lj87âÈ,Š}/«º˜¥dê7P}>¦VmØCôÇyò\?AâF¥3\¬£îrÊ]ñ ôÛ4£sªÑlÝÇT>Jo5NäRœ0ÎSÉ`¹œÀí>êC@¡ˆŒm˜–ndO©’*Šè‰“wIÁ–χrÆÜv* w³Ÿ%ºÿϸÌþ*=ÖAŽW±œø¥!½àÛ8þN3Ðá|;5ê¸I®uƒ"}‘q5`ö,(ù¹‘š°§°Õ}<#¤ïN¤D²´ÐÄUÛÁHW\‘ÖcÄ5t3µ`Æ‹mFm2™ƒzá[ê1q/r ¨fÂÉ×Xq³¸3zò‰I§Eg©Ø(œ¼ÚZ|R¤S¡F¾_oÝ☋dóã)€˜ ´|d²ýó,vV¿ Z õ#Zÿ°%$õû„ß+ &SÅà—àBã´)´¥›|0cÕeO™¶ÕS‘ŸóÀ• ƒoSàÖY@.0ÀhÎÞÞ<ÖåÉ7ü¥«1ÞM 1éN¯&/´hD@»sKß6>ÙI «t—· Èì.\ ¶ (ËSÌàX9TùAMÖ22¹vÍb¢Ùx´Š ¯ðø}öÎy<÷´ÃÎ ÷DΩ`äYÔGrEJlIÚNâc"ÔxvTe!17œ™*¼Û‡ ^ÀPè6èÇûp¢i“ÃÞtÕo,ÂDKÂq.0¤Ó$fì‚7IwÓ®—äaÑ°X Ì6|}@èåÊ°‰2Siø>É ‰?ÓJÚ€[¶«•X¢}D{‚z i´¿ò2ôÿÒJ^•¶øÓÌzh‡ÄâïâIU[ôpˆ·LN¦G¥#Tò£•à!¡–g¢ÿ4ÒO³dfS¨ÄFx â2àl ²= S˘,xASáb†hÌt8fþ(j4Í×àñÒ=5âÌvµ¦§ p_¶¦©IYÄ>=f~¹ Ôå„óiîS8Â9T“…èHå‚žcŽ 4mjJF|ÂR~Óó ÀG\“ß#n ²Â.£Ã´ù¼è ty>©WâÉ=&×ZŒ:ÈìdN댙ë.yÌyIH{8MÔ…×Xv¿xNK³L—«Gˆ>YÙšTCáhE‹D™òµþ\éŠ+ñ"»…ÓýM'ºïؼÁ°ãÄb—T"ÂÒ¤lÍhÐVW8ÍFó©îet6Âßœ~GöÂYû" X?ÌHP%þÊÚؽ%¾«Û­»oúÇ´}žg? ×xCcAìe/פ6˜ÍÞ´â5:CsB½oÙYù+ËIXzᛠߧÍXYµX iAo£³ŸÕC}]º;ÉØø^bŽ£BñæÞ ãè(´ŸÚÉfVì‡Ë¾óœß¢ã6±ÈDsWeXÝPŠÌwœÍNN+hPÑò\Fl¬N‰Á\½ýä×Íeáìp:Ñ/Ï!à—aþ€”µ -„¨S>åÐkpÔ‡+P&䆬x JRmqù‰µF^‰Pqu ´_ˆ¹¸*Zø5vò‡®¡¢“ Œ™+STbðT…‰½.oŠö0ö34cübxê…ê‘tDuÍ’¦ÕîÀ…¬ªVÙ]¶kÙÕo:¡#˜‚OßS©×L³£/Áù ØÝ M]#6$<a”h![ìëiMŠJK*Ð~}.°¬3˜ùšîHÌQ•¥]&lMTð0flC‹P°ëÀÚΦ>&ÙÃÑBöÐ&¦´ ù’³I4ÛRv­¥å³@]&¦ÿÛ€ISÜMæÈëùˆ½óçF4­VÑè„ÁÓf‡²ø)Š)ï„+qsoã–J&°.*3SVHÛôÒ¦#n eD:ÉÑÛ§ó¶3¾(høÎ'Hds/êéV‹-ZUçÎ%lXhØUAÿ?4Û¯Fró’IÁés&"ÑJr tU@¤3dß‹R¶“Vó³#v…oÀ„•]g[Wšæ#ÎÔ…­^&3 ©{îˆêŒg(ç2GºŸ?Ï]î!uì'}t iÉJkÑñ_gò‡Åæ2£)$È ÈO}šÎ¯£öS& b%Õ5ª·!õ”-…:Њy…¨ÓXùQÞj“ì |×sˆÁ‡!¾òHiÔÁ+ä›üõïØóÏ¿Êšó¨1Ómæ)WÏg}o`^VÆ9o)Ò|R°ëIW'þæ— ³÷ô«•vÖi/þ‹­-•ZPºè>MnT¿6øÝ‚6}´ƒ” mq5š]MÞ=mÑôGF~©–kõ Lx£5¾¡ØL¸+µ4Æ ÷bLÍ’ÖãüM€ïÓ“!?Œ»<îµÔžô:{Ú#SÁ¦¶“pÚ?¬ø±§ß°ŽI[©HÐuÁWÙëûº±þp%^‘Gõmê¦Å¢ÔËv5S^qŒ#f쇳©Í5îéÕÅ™g‘÷ åÎ¥îKN)§5´ñsË)Fú´1ùeÀ]¤o‹hÎøXÒŒØ9‰#²UöÒÈ¥}}pO"S’Ú8Žîcóih!>QÌ?S~YÏÆHõKZ1“â<tm‡1€áËP›³Avfæ ^Ùj ‹ª°_ÔÓ¥Yæv·kퟅrh8«©#Þ÷zîÂ)ªÌ/•?)·ìóC[|k¢â{% :N§Þ¦ä"×2Ñ û w…V¬Q|RîæC?aþÒ+«†/ýk!;ü¦à¬Æô†´Ùz…ƒ£I#×-ªù>DÈðÿ œ½¯^iÓÖ`‚gD îòÞœæ–öÜ/ôÇtÙN¼öŒÍiœ´Qê>DO›©d*¾ÄeOÀJ£<¹ÂBÐ(8!"Ò†s”Ioã²w‹«°ëµ.­’¶ËW»…<ðfÊ&…ñs5‰¸ ²_ºe;6M¶J?01ô)¥cv~'š¢`cËxOð< lbJê¹B7«6úë`\U<­ª}#™&®“lòBÆʾΚ)c¤žêŮ兗)#.Ì°B¾ÂØB- mÞYN„‘D0¶œ×AMÁÜ'bH± ®Ò†å*£.aeA +8¦p`lØcÀÓ˜›eƒ´br…“—­Æ¢±[œÈkSf7n™U+u–‹Œv–†4i#¥ÜèNªÇ$4,CÑ¢ƒù¶E°Â‚&-z§î¨Ã‘^òb@C¶id~á‹bžšØ†ôi˜QbGù2ÔÒ¨ÐéÚ.éâsÐ!‰Ç‰î 0´£gö1Ð]Aïÿ©Ç$ïÍЊĦ*U/Òò),©ò¥âdöi’»æ$<’mõ"1àç™®ÕvǼ¹kg$2ã<< ¸â ájᑧ³X‰K^Hʦ¥-Q¶ÑÞx™žvÉ;ÚÐþ%:\ÐXZ‚i€3°H£ì’4é@-\š¹ìœH÷Èþô³&™5ÏFÂøü_æhñçbÃÁ½Ó.EG].ç)ÛÊås&oõe¹g²ø<êÂ˶pÎÅåyÙ!Ö;¬ â_ù÷iü]l.)ÄeF˜ Ä‘}=¦x]’š¾°ã>. 7<ŒACui|saÛ…˜æ DÅqtÏK¶ÙÈûчt<ñƒB£öh€‰ƒ½FÍýÙfH_2O~|Ñ}}ÐÒãP¢)¢“/\Ïf‰Áõ$Î΄®äÊ4Ñöñf•&™vPG/ Unìáîi53˜9Cê‚3)<–º™éز@O—´­bSãв×àT–¦!>«šõã1ø^ ƒ®ó¾”¯Õ(Û×F¬„´9 )Í´?dBlF{ó­ŸXjȾ±ê£™š Õ1!‹v¡:Reåþh £ÁÑ"Zš6áY ©Èö 7d0Œ¤w.¢ÀmG^R+9Ö¡-3ÛKLRÔ[qúж+ZD{BáÂæ¿8LÖvÒ<:iÅï`¹êg+ÐW0 Ëœã—~LPŠÿH2³_\q8Ï@ßûLëR ÙÎ…LhaÐõP ¶™œåj>škÝ”Z‰Ã·óQF:@©‡—{i:ÚÃn˜Ø‡/á+ƒ‰µm‡¸Ëý—¢HOɶk³&a˜“¥%-æl”¤³ºs+S k¼ò;e@®š==Òu-”ˆÔa±Ð­Èã>8&¹ò Wi‘=P;Ær" Óþ±E+;  ÄdAhš9ô4==þ_’*ƒŽHØC;Óî9ñÌ„ošØ,—s#6ÐA; ²Pµ qcª…‘ñ“Ø5€é HþšgãóÐ1ÚÖ/ºZD/'tÚ»i´2aptbì:ö#(~Ü#³°³”ÖVº¸yÉã&e)ÞöYÿqB—¥MÜÃÁ2jðjŽ’Æ›L87²…úò@œˆ¿Hh«#Naûƒ-ßü{ÕBÞTã ¦dcjD˜øaELjµE(´ÍgÇWy«Ê”sòR¬Ñ7çâ_¬ 2§,1q­°JfÏ(z–6rŸ2,»•"É :Šˆ]Ba¿ár'ÃüÃ'"ªzè,ý#óVb…ïV™ØúC=z?…ßÞi7óºí'sáàDSRße¢¦“,HA*ôQI7ô[ºÌ6MÓ‡´ù­4\Ðt¢J¢ÎÓïmÀ«·7]fÂÀ±ÇDÛ91ö'Q¯³„Aç!ѧPI<9øai–av"v3,W¸H?õv„®ø»Eéߧ#ñF×múrJNE|#f•M7a ôžƒjÒgû¢Ç×Ëësê1_esW€Ÿ¾‚`”4é3üL5c+´§¤äá†Ï@óQ¥™åRÄ›éÐKÏ]+æ¾ÕWƒV@;àù=e2Òð80´ÕËlÒbè•FÀíügÑpÍWàî[ À·´ SbÁdPR™œöØ(Ž­Ð#=à·Ï pŠl=|§cpèò4šUTšùs×k™\ß«2i÷~0ÖêiOÛ->üëî…ÔÇŸw¼Ex©2÷ì„-µÑtƒ‘W+ìù:L™¤§lÔJÏ°øÓÌ¢‰ä C¬I}§ÎG{Âzô:ÐibÏØ5¬n¤ÁéØM¹[:3,%Â&A¢»â!™Ÿ#Íðg=Ä®Ñÿ›Ø‘Ò†V.Ddîu/òѸ¾†â)AcvÌápjWùFz%4-­óÅ¢éÅbwЗ=ÜÒIc(‹§´t3]šUüíÂÓ%صŽƒ¨E È{çGsÕTƒE~+=¸tl¥Ç)dûKêU¯ßä£z0ÎÍÙ‰ãG¦jLqûü#êzÏ[8ybº‡]¦L›èüÏ@ðÚò=R7Z1åç“{¥´ÂÝŽ/ò[ühû{%¨ I¯Åç\q 6ÖÛß6ð”IÃaæG{ œvV:&̤‚­³Íýõ÷yŠ¤¯x”"Ï~3B5Ÿ·íöðïÄÂ5£ãØ8zŸ¾MgðØÃ+x‰<œ|Å.®Æ^8€À.\ûˆÖ»%‡iÄ›ÐÔq¨R€•—ÁóZVZ *.ÏÝÞ0#2cAêÄR36Ù.#”¾LÔ'<¥/þÖI#ø–æ\êhµªê•vìÚôo¹oZ%ž—+æéláXðraŽ¡…3QÉ_ ’À='h1½ˆt$u¸×—´æ&ÅÛQøÆíIÞ€5€Æl´ _5<·V‡¨ÜŒR¦„1³bºÜ›Z´äi†ñe¡„<ð¨–iê}MÝãaHÃíâ4xÆÃƵ4m7¸²_ŠË +‡‰mˆ·ªxJÚiê¾ïÓ>""}‡äD1ç“ô¬IPâó;éÑV¶-Ê‹ŒöAÜÁ›&¥V5|„5þ2n¯¶v#œ>'j©gVuù*K¨-Ù棠¾MH}”~y™Δ9p[ïå|À? ]c†#¾õV!àÍÞž¼›ž$ö³_G½Rù4œe¡ŸdlçcÍ\í8=Ñ´xHÞ¥K®„p¤Ãl`Ÿõ‚Qgâ3ÿ»ØÑ Ïñr?û+¸È[Ùš§ÌÂXHÐÞpViöÒÚ{|Ùˆ– Â*»,³ëå®™<“dµ-Hå±P—"NìC+C úgº+üm+ x¶c˜‰kÑÕ€q«d=ã$S2JÖ ^‚çÿQlñ·B}½Aƒ$\už\ãV”ö,5“E^!^Sº“œ Sº?Jë P„YM&é€ì-´äVæü(­IÍ``„p3šËc?¼à»sD¶jq¾Èp2€Éž¼r´¦ò <Íøvºfmàeò¾™ÀD›ètð÷ç…¦a®2•“¶G]]æ õDÞŒ~ +v™Ñ¾=j3%¸fR~¸§<¤Y>¹PŸâkw"¼rþ{¬MǤî·5žc3Fï¯kÍEÆŽ8ZœVÜxŽñ¹Ã-õétC;Ø;ÜWúzäÓ6óü;'…ÞÙrŽæ°ÍJÙtšx'ÔÖ­ÇøÐ'ƒq“ðªìíñ—Äh‡ƒ´ÚçOIznøª‡¦™ DDÖò¤}±8½Ý(þ¥æuÑWüoZ!¨Â gÊíaèb´‹„“˜°{¼áÏ&ûÏ/‰àL:Ç ëÉÈQϽL;4¼Yb°‡ø‚´øRÛZ ÄOQéÈ[:éJFè¤(ƒÇ¬ƒ™£ã†~>5ÔY÷¼ÀöpÐôi'ók†k¸z7ýXsʦ©/½c¹~pnéZfÒlSÞ'.BËÉ—€õ´Vì1Ói6N+ÖÕd¢õ ·¿“£Å! CêG´pEÓ?¥ê»#qZOÐD*–;.…,z3é~_Í›¶Vé:\•¡÷îoŒƒžëšŠV•ÖภøסnâÓþïÔ½Æu8IÝæÏ83ìOèVpP©„ÃÿdÐäŒO»­Žä¤èΚ8ZšFIJ9p7íPþoÁv‹žiV£Ò3Úv Ö¯#wí&<Ãûαôyäb¯ÂN²É#[J¦½<=ŸÉ‚{ùm~_OJE‹þÔ%ˆC58xÎ=pÖ‰¨Óáß5‡ÍpN>±‘ü ÍÒX-)F8‰54Gáð<¨!èyK¥„ah¾ÄnéH¦€?ÄIûó´/ê²íD“PꯢŸb$M¡ÃñÕØìŽt½áâ˜6hRŽÜrxá~ÎKñ+Ø%zÙ»YXNù&/ÑKåØÿ”…B ¦m£–ðÏÎà}Iϸ´Ö›ã)úÍ4Ý´bc0ï;ù ¨„Ä*u+<£5tÙÍqV÷Qð¢'uÄ»®R[Ì¥¹ªM{^sÙ›͉Eü9l"°Ÿa}Þa'ƒáœïêA…Ø“o|5Šv•#ϵÈöh‚É_OC}' € OLy3ÒdÓÎi'¥Fmä=µ9‚q~Âjyz¥ÓéMÓ ÍFž>ý, »0ÄœJM„†Sû=1r|~¦™ÕTàÛÇ} ïÁe…£Ñ—T…ÆT cmaÎ磜ü,ªÒWbµ5õiÓ¶)¡鯶Z’~nñ‡»š¢…ÓܧHeo؃‘Þöžó¤W`k"zµãm°mñç‡`9a6šdJ­Úy܇Ÿvõ6¨žG>!d)tNÓ¸âH¼#Ý8/$‰´WˆŒ~êMÓDÉé(ú!zz|Ñ] )sz•s“áK›%-YVÊà×ÖÎô¿U¼é‹Å«Év?Y¸ÕJòN'Ï‚QÕ©Ñ‘RÃó¨b‹ªvDK .¨'Îi&é§S$f°w‹ðw¢õ¢úý¬6G1dœú}_.;¦û‹¹…:* Ï¢>&8ÅÊ"'6I{H%”&Bá!ú à$MÚ¿ãÖ´Ç!F©¦1ï´ƒÅB|uw®YSÚ+¢±á¯Œ” ,é{=裺hº>‚f}` Ä'607Ô"çü¾(`4Á$Þû#l.½Ò–ž­a½¹wäÉ£91ö¬xþœSf#Yj¥q0“´0$³žuØ!I]Ž-8ý©š‰¬Ñ’¶ü´¯Ö§Œt„´šU<‹Ø×ø6ŸC`{¸7¼§³k²´$g9éoO­Bò¦ï§Ð$ÙR>SÂ`è %çî…§nëï:rÈ“^DÝSù)½Pò.0˜û/2¸Z¶&©çÊX…~äy•¿[{ç°ŠÓa9Ï?%­²sššG>cdŽ9íµíèþìP­Ým´´FœÅqƒ¼KÓ8?ý;N3=x¥!ø¿­X Ï:TšÓNEB¢4q†¢µ6Ëejæ€g˜uºä…v:VëêìÅ&"bR• bIÚË ÝÍáòŸ6Ý*ï|Žrë¬ÁS0äÒÍ{w6¹Yåï‹õJ¦ÂŒ†QOýÍz­ëlô»Š>j'¼>ãºÚŸiÓ#ÇAït Õ¤n;)uŒ¶îJ[-u'ã­¯8ry$*5ªÌ÷aN´•>Ô1Ð9eGÓç3°]«j›~ äíMJÞr+T£U½ Ž-ƒ•œ+8®™Â3ÊŒ‚Õƒ$àŠ¤{¸èåÃÈ–{wy±EZÀ*}ˆpܯI¥§“—ùÂWßÑ5JxéáMñ<· ~¨ÖóÆÕFÂNpÁc»sÛ kïƒ`rs-Eí%)ízXB7v|¦«ãº±Èæ.ÃNCÝŒpá4ƒÞ´ñŒÓ²ËL+^‚ µ£Î,É^‚@çœƒØ šGêæ_ ù/hýMV·‘ Îã×þÖÖG†þ1‚î³ ìäαÅðÐ^ö~ñ1XE‡itÃÕ½«Þ ±°ã;®qŸœ½Ï |Ø‹VàÏ2”¶éœÞëq‹C“ßÚ¹w'åã%¡½Ÿ–v}j„€ÝqÏ,íüW=öÜ'ø“õCOfýFña>)P5ç}>0C]’«âišoKB ¾Tù¬ôyÄ]BΆb«ü%CãEgËr†ýG}\Ï uØAVøí ÂIð<©‰¬\ *¿5-A`ç–õ~3¨§ÄñÎð¸F^“ÔE½·×hœYÌ«\ŒMBûç5ŒÓË6›¼;¬4²“L ½Ê*þ/Y‘Æ­¸ºŽáÅ"‰Œ;º_sßðnà]ŒÇ]ú•‘.¤Ç£ç<úZ.ǡϽÖzÚ0²t ,„ƒàa86ÚãzºÏ9”¯HQÐþx1‚¤‡c²Ì6oA¨ ÿ#ø«°_­úåq½KÖ ~x›ì›wÙÝ9œì†— ²£|–âõ u`("ÜÐűÅ© ÔM>¹Œ—P/uÆd(¿Þ§^Æþ¼Üi¾íiÕßÜÌûãæqê ôƒ0ïáÑw.Œæm4V˜Œg³ãfwj54¤9Ü Ûü ­Þ™®˜’Cç™"ÙCMÏ(ïx û¡×ÔŽ8_þøvª‚å}Ê?Åg©†›jgt>nTÃCd€‡o‹ã&1vã&½}2Ñ¿i¡B{ìL^?õìïñZ¨}[ª¯žuäL@ÒÏN9(ñ½úGáýéãv #ÒX~Ÿ\’ö4rïzWHAJ6·ÕJª:ê™öq"óŽKîÿošÒîí‰^y ‹8ÏŸÎL#+׉QædøóE?S´´©z™/Ô®ü®m°×ó•Z?LÖT óBžüoIÔ€A¿Î³¹ÉËòy"ïªÄõ~;“cnŸ¥ $º&kð±®`õ¹"„l O¦»Ï"ä›ÌýúqÌÓqßS0y$ÍÙ÷‡¾,Tƒ³¡–‹ƒCR¤!ÜRð -íÒÊ0e/Ô®¸%ƒ=‡ÔéË÷Aœe›”?‘¾õTü{ÊÌ»å=ÚLµcÑÅQWºÒTWŽ ¿/ÀÖlF4\¦fbÄ–î@z&•žƒ »kûšþcŠ)J°ï‚Šš®AŒ>΢QmÜŸdWE»ì»DHD_ljq"¡ 5Fh5,NâÄkÚOà±ÿ4°Ž2#“ÁÔüA.p%öP4z‡ip²u6äœaäN&EæÊÝU­†J±¨òrUãx``W<ë v@á9 ˜ ƒ|cm‡A°Ö~×[’vì²÷Á ÁoO|Wº6’M.*ƒ9´öÉäžDfþÛŸi\1èI¤Ìštô—B.‘b§¶`˜@aÙ/ïóÀ%ù£ÑÒvâGç‘~Õf¡v×þ¨ ES£ÒÑû—,¥ž÷fo/˜^OÝIÕ®=¬³‹P5oôÏi…htdQ0SyzÌßx@fN{4v™KvŽÓ,ó¬ B±>ÇfÆOír›Ó§ß£mŠDàκGE,±¢åÐKaª —ú§ÇžÃhNjÓGô¡)’-Ïzƒî°Óa4¿Ö‡bNã 8¥9Ë$qÚ‹v„?ç/#=ÂK¸°‰á郣 šé¡qQ¼À™iÓ/0trALÁXM§sa»ÖbEºxS:c™8Ô­:ä-¼èŽ€¢Á|nõð˜of*•üEô ‘qÅ?Bn2šBfµ)xÙœX¸Ç>äss쩪”¥*¹xbWœyù¹0B³Ì?pzR!ºEÿ² xD£„掙Ö+Uô¶¤1+p ã>%ØüzÄÑÿ%ZÂa¨>r©Oû &Ã'4ý®„ÆrÑÕ6LJÝ)‘ÃÉãŽKÀˆ×ŽZÅØ"éÞLæF>åMYifÔ¬WÙ[œñr‚†Ê磨­ D™‰gíaäSœ}û±l/ÆkV†„„/ ºpÙÄrÅ ?èÆÒšAú°‹´1¢ƒx ç»qÃ8qL^ÈTa¿/fjÑÇŽIßÔ ÇŸ.fnOûRð‘hšÇhã¾ìkg{XÓ"³(}rZ#ë;ã´,_˜f–ÀoלdðNâUOÛêÆæ¨ —où(Â鶕­íLu‰6¯Ö±m7<ÒÞ™0Ìt'öÂuZï«Â?1mßßõ¦ñÜzÁ™WÙp“ô¢­L³ä}J@â¤e|çKSÔûÔõz±¨j™ØÖO£DMS*÷|›2öõÂ">Š‹vÂàŸˆÓÈGVúÈ]à*>陊¯ZîÁwø©ø…ñ5KÞä‘B5å™æ©Ù¶>fºÜW1 ÆeW¤Î8îkU|ó·üE¼çBD_ÂùñGd-Ü‚ïék{˜\I´ñ¦nï¡LïÁa#ù&œ1Åû`V–î@ùHåû#4[9p)¦WÉAáßZ„ð©bý»±ŠÔ±´\ÓgG~'…§…Wi70tpä¨õæëщŴ§¢÷Ÿ qj’z¬ šòzQ . Í>)í¡ÌÙè%œÔ)…xŸ®οkäz†Ùy,ÒÔ\ ­vü¥‚`ßÐÔ-2b‘‚g˜&šb´ÛÄÕgÔö5iR}»„I?5ÚЪÐQGs[–´bâÊ8»ß·ñ›ßó¾§E¨ñ3ú¦MSß}sìºÃÕ;56]ŠßÕu£C•“(™™cœ×[Òa÷öbj ñðI™‰ÆŠS@¥{ ¸sòé(ó@ ·óÏ¿þM>™KSŠ¿ î´Û¾è„ΕM¸Öó£` ×ÿ„+†O)R¿0˜’¢ÇËM–u怵øMÚðdѪ|!+oc‹{ñaÑhïXNÕÎxØL•ð¡#(å€åèÁ5ê«J[ [!Añ¶ãhÙŽCàAÎ.a¯@¸'¼CÎq¢çn#Û‰2:Ñß;±cÞé¦é8ÀKS3?°¢™¾SÕ¸bd£™ùÏúç?‡àp\0Xæ©‹#*l/Â40ÐcúAžHÒšWj} áŽ L&‘à¾ÃheÆöÀº±HEŸè}̯³gJ™±¥p©9ç ›§H>ê.v ´ãµ)®–¶‚+m“’E—´4Sî æúÌp/fzc%½ø.DÁ.ò‰Qäá\l‰½' ƒêδõ^N\HùÕèm–q{DcoiέiÊ…f”úÙÒ–N¨bŠl?FÊÂrÙGß'Ôì Ò¢µdgˆ[,BÏn‹–4RJ˲!HTAï§H%X#?\Œ@±É3œxSƒ'®Z‡wÕ26ðµ{{ÇNúZ4?-û²ŸÓbW›ÿ݇ùqV,8%ùŸÑ‡&žlÔ ‚½Ém 7á`H½3(1Wƒœ7³K6B¦|‘$³±‡ÓÄÂɬ,S_OYËiïZ…¼yݪYÙÅ<5i–s‰K"n^>Ê– @,Ï œ—Fö*N9ý)“ÌdÚ€v‰^}´ª–óäñY’LU³ç¨FÛŒå~ fû9ì0VÒ"ùŽ°Å_æoàqv‡g:ÎÆ¢„v&™:`v³]ƒßêe"«¿á¾+õt&&» X-D,v@´ÍbÔ&oŠ»k‡÷ŠÍƒÎŽáóG+뎩øŠTR HqD Ô=(×múÅMþX5wh›…i’vö¹é¤¡)IO9(s»QÈqžyž£+%–”ò…ôb¦Ô57ŽËþ•éªZ Õ™Å/³áe½Ò¢¯Ôš‰P4œÄVâíaõçñ=-ëŒbâa9Ž@*ì­V¨ø˜ë´sܵ,°—‘5—°ueLÍŸ4˜Ì0ƒŒsbÂk¡û>¨üõŠ²±Ñ'¢¯òx6té’¦ª¨Aô2Í‹g<š1C”Ò*_ç"'¶)V¤AMÀX1 ¤³¨iÃ3ÙK¡èÀ3u©zaD^C'È2æœÇÁq4nÊÝñ=ô’þ½Ø™88ûòiŒìEŽ9XIsЃ~%© t³IR³‹| È0D[öôÊœIx4WK;™/äü¹²Gqü»‘FžŠÔ=-ô­‡Å[– 0+Ö–‰>î4¿²WIñÏÔp-)›ü0š©ËÃv‘ßÌ!´êt"ƒôÜ)vÎû}œäo0Zééžö´¹dH™[ă¦³“Õ‘GëIVzºWâDßynÄ^â)bëhg<˜×º_„¨'!åX\æ–zî›6¸Üà #TØÜ9•,ªHÌa²S¾‰H;‹.ñŸàïÐ ·©êRÝ}MÚY^Øl-¼k´s˜×‘ pÕ£µS£u™'ç51I]™G³ÝtBdÌL>M?OÚÀ /·ŽM¢%­±¡íOøÔw‚8]qÉÓFϬˆH@•=[ÎòGÛ‚ïòåà*5«ÁAh >­8Õø›JfÜ‘YƒÄÄlø yÙW±.M‰èžw<fªqX¾•{gù*—BEíXãŽüs'ðÏô·üÌUjR:Ã<­0¤—rß…:=œ½©Ê=+r®I8Çü›7¥¯¦9Ÿ!M$:eSö/g^vñ;N@«'¢ÿq‡÷  T./hvpU³,zÑm/pæ0œ[î—×AØãºÎQ¤×ƒiÁÕÀ»õ0]¥/]g…¯z/vÕ)¸Š~Û×¥ê‹z¦eÚK}âçÈ«‡®Ð@×þB»fØRåt™‚%þ_z>ú'v5ô€;p,Ž»ôut›ó ö y œl³¤Ýs£Žò7} ¸ ΆoQ®ìÄ=GIƒßIóÏœPúÜôUßôÝÌÕqJPÞÅGFR„ úWã´Žô_•[VÅ¥)ˆ+pà# W/Õað ˜Q¹< Vƒ^ÃdîsÚàk“ê ‹þ.»ó^êÛþ|ÌœeøþóNÁñró0°_ù…Ä=Éá¶ÃÜêäH¨0ðt5²üÛïl3œØwïy—{É TÅ)?óq2ƒ—Ç™Ä}í·ºÙxå}dË~h^q-DêÏ 9ÐNË]©2“› vO@#$§`ùœ4a3ô­÷‚Æ®m œ$ëïÇ£×úÚN„iè¡ì„ˆ¬,A0ôêwøÚ ý½L_™‡ý 'ZÉfjà¹ì­¼#˜Ö7ólþŒsh 뫃!7XSÛè p2Ém±¾Ñ¾•d1xwüÈ4ÁÁë@É;ü«ä‡'þ¼çã¯E:…WñŸ@ôçtã÷Åær™8·OÙ²J„Ú½¡$Ñ"r à¶nÆ« hÒªu"Hh§²YÒÒP<¦õ6yQßù<ÀÝ–Uj¦"CÀ³I^æ_‰GØèÉÈ›==éÄ[_U·ÍÌÀ˜šës!uÏQ¼ý ï¤Ä¤+÷lüß<¦‚L‹õ¥”“ÞŽ=AtˆM)~nˆjô§žð€ŒÁ™“/}sÜ»8y¹*¶@à9I p²mi«¤ðœ<ƒÏV3“Žû¹+rÔkW£ŽbÊÖ±|÷`µºu¿GÆ^•ñ–o&“”•”¿(Næ=3Ã+µð¡£»2iÅyTê–¹DÁh£!3Ç{kÝe™ÜœßcÍ«]|+¦ïT“—ML}ße­sÂv´ÌLoíÜx²™G3ÂN Ÿ=žæ9ýdbêIˆó~»·»·XEÞû$D×Jöú á âŠ[¬e°áбõÐ)e£]ç ÛM?ƒO4ò2O5ª@Þg~Uª³cKá=Eâ—LAâdª©Ÿ-uvw¸Ó<ë?¢Kt*qŸ )ÿ ^¦Œ°èœ‹'ºR2žú½ûü›´EëqÊØv! Ô×ù-ÕQ ÆÖ½nØkjÚhƒüá sŽÎ ¸õû±­Æb~Ÿ O²\„ÞkwbK-k„ñ!à›[DìBa³ÐU6Š7pñwd;Â%ë='ä.Teʼn ¶QÂ+â½]¬j3c«Œh3xË ·øùTÛázŸˆ¶RtûNl²å\Ë ;Þ3ê(XŠuÓXauç¹sËrÇ´Jî'm§ÚUbôGÂQË•žW˾låÉ(ŒÃÝ$ÚÈXußôÈì~Á£;º]Úäaë¦(Lpè#øΘåU ‘?å»zô{æ5Î&!÷C¤½ È’ûÄÃø»a7b~A¾*½JÛDºâjeÀŒ#¦–#Î?UÐzs49>£„«¢2*zŽg;NvuøÕBÕÌ¿Ñ%ò+£=53°) »`žö 6|>rŽÂõf+º&}aX|çÞÄ bÏLŸ4Ò‡}¡sûȵ$ÁÙIÁ„i„%β#pz$ø&mÐW8*J$ že§G³îA±eÊèxƒ‘jÜ/`‡)^?øñÁÛÛa¦ø-‹Ý)ìë´ü—>£åfÚBDû÷ü;§|Ä÷ &7fA/óŒ#ó»<˼™tví0'Fó{æ}²îÍ‹Q¤QÖý§2á«œ£ªÚÐj1WɵÀZÔ«qaªFÝKY œ+Ò{i§0uO.ûä]JE„©WªxLŠÁJà4GÓPA|Ø7 ¹l ÆÁ40ÀH5š"ÇcÇG=¤=jDB<õ4‚ù QѧŒ´Ç–.¹ûÓŒÕ :Ÿ(@è PBÜV¢‘hïI£ó½ÜˆGP2È{°7åTœ:ôM0bO†æÍàÓ•Ïzô‰mDzV%Þ®ðc„I§92ü˜8ìâÿŇg,K÷d‹ÐC¸Q—o¢ËÛiaâ“—mÖlß–ÃG|ÛÓp醳ƒXÁ8D=¦±ÓlóyЋbðC¸ÀhaÊrpŸƒ8·t8QøÞŸµÆX‘1èX8|ÖµÜÜ×½€àÂ¥ò¨”ÖjÞ¶ý¸ûyø|‚Ÿh5ì:9z)¡*»È•LÐ0ÉÆq¿‘ ¤ð$n‹YzŽ+_jd’Ä-…Î]¢õdò×ré¶)uU¥Á$Ü@ïŒY²ÅÏ@6Zš:uD~È9â¡-â¹??ɼR{ Ìh;¨„—ÀçÂ?í£õæÎ3ÄBéXÄçãRŒ#ºäJnïù~ÓbüÓæ)¹Q‘TT¹"”%Ýjgú8ô‚C5N´Ûþ??J+%».eψË;y•Ítë±DSÅÎv+ […È7C=±‡?àl펲ÂQôŒù<ÉzÈçÅäÌôdûº^{¬.Z.Fì=6¦‘)û|Ä‘,. }Ý»Ê1*‚ŸÆH›s>.¡j˜É"™È|…ú¦¯ßÒÈ+B²ËþwòÖ‘Û4v¬:ùQ\”™Á¹‹Iƒ›»<µëÇ;f<¶é ŽåHŒ·¥×9tܵñ±Ñ@ôáwÄ.÷„XKÇ‹’ pÊš-½H¹Ï }ô涭{Z|imT)–„PX9i­¦ ´©þ…(9"½.Þ‹¶®ú§áoÈf½:„îãkü5@M+ÅÝÜ€=ÿØ„EsâÂG3ˆçãŸÁa_.z@·Ò’v=!0@l!È:ù]uRôéÇ´P­ºy¦™{Y§\¶€ç].zæf<Åù|ÒÌÑ+Rðh¸ C²à7¦„ã˜Î€MäÀû N6²<.¤Õð.mjvÓ¦é·ÅÆš)MpÚKÃqwÎƼÁ‰ý9W™†k±Øê nÿÁ¾³ÇÆpjÚðSµ)i²Zdƒ!Ù«lXoŒ@ŽCMøã£#mÀHçB9ë©È˜E—ÔTZJë”C¶£ÍêœÞ5ȳ*”{€!‰ý-ó~A¶ÆåK`3HŽ—ÙÛ‹“=ÆdI+î)Uñ<1.häˆy¹sмև2âçwô›Åí+Æ}iŠý‡Ð Õ©V7"èºV/ã†w-3"°Áì‹ì="sëu¹”b+IAÉ Sòù>›ÿ™”_vkƲ˜—«©°R¤Ýu/ã3Wlz£t´È6˜˜·êâ[w–€mAñD›bûÁWÊŠç©iþ)VAÝâEjšï²bL s‹öù¼åÄád¥eû×ð¡Šf!Œ5ªF[†¢CLzØÐâ·Ø3aÛu(NÞ\eKÓc/ÚÇWv;–äbhð9Ápq¨ÕÃ\/iêL¾@¾Mé´<µÕ*ÔðÑ‹©;|1b÷2¤ƒ%Õ"„_µt\ô£F/L©Ç²1›¤¢qÑÄX+¾ÈóìOMNŸ MéðD¶u8|äPé%­«?6Ø#ÛµÕù¾…u©½aÔ±e%¸ôŽ…ï `Ò£"ݪ¿VÁ¨i{?]¹p¶KÂï«Í‹˜jˆ=¢ù·xÔ7Ñ*òÛýà™í]„»8¸ù`å@ªÕ26óo>XÙÌXŸbãÉñ‡ë.‘^';ð9¶A’F)`´ø™Rsl ½¸fuÞöÍÀ”ï^¿Â>±…|ŸAj~ó}h,3¥û±l¼ý~ÑKÿ³kœZÚàÚ¢6‹Eö¥ZÎú•S_Ÿ+y5Ú·aŸw„üŒ¥Â”¡Ê±ª$lÇü¹ÑÄ !¸ŸÑ\ !ºÝ¬YIÑ/m?Æx¶g¸Èì¯ ‘¹±€cÿGÌ©7†T~å¬NΆ‘‹Iñg ƒ-‰y½µe+Ÿ­Ê"±} è xU^¸Ä'åäàHÈ,ýñð;aíÀ‡^® z‡rñÙÒÌ CÀ${îF•Z/ß(8ÞÁñ)ãGâ²é[¦ä›‚’'MnxÑz© ŽâEtϦ4¯Vô_ñÔ ó"™ÝË4+¦¹:L¼¹øB-ˆ‘ ò“h³1™h®€:ºÁVP‘»Ü¬pž ŽÇÕÀ\tsÒåÕÙì!Âö –þNÄ9~>ã`_û(.€¼Ío„}U%³ACz·Èþù(.!¬@ÊX'Þ¶7Ùñ¹7'¤üËòšGYGÂÝ ,ž?)wÕØơχ©&g?dÏHñ\%¤Â@B¡Y“Çf¥‡º´{­ecí^†t„,Å·€y ìVœÁ/äh›ÃŽ¦9³XÙA:T@üŒƒƒdµJ-ä •¥yøÍÞ^øwHÈiÆ`5}°[R5PÏ<§â–ûê(M —Ê:MCkZ'Tt»ÐNÛÑ+1»Úäv%x6Ó¨³{íÒÏUÐüžu%³Ó8ßa\ØRBÏýœ `t@Âöü)b¹—MJà›^xù›f ÛÓˆVWDYï‰"9{à[Q˜*…¯ÖÍ?~Ê`ø<·¹ÞNvzb–tô]‹Ó3ª!MX\”ð¤ÇÚìýq`Šj+$üЄ±-íîçŽ G8œð£FGÂËË}\Ò”;NŒç¢äI J H–À—&.ðx`Ïn€‘¢e5±^”‚‹nG]£ëâÕäižûí~¬Á'sýD¬t‹H\‘#23Æ[sÿv@;·Ë ™o€ ÁÒITyi킳(´‰÷K²\óC|w֥䅖¡mÖn± Ù6Ÿ¨¤]ñ5S{] eÇ\)/B{?+'š†zk'Ým#Žm¨àÓ:O iDÞÝ ì/y¸çŠ€hщ“àµA˜¹zX¼è«ñœÆO©är½6G¯âœóØ!OLY›cÛ#Ès¢Jš 5â>9˜¦¡¾wè”ÒÍѪ=꨽0º¥Ýj»0iÑ*Ö.öD9>¨mv0 õ¾\«ÇIm·,ÔR5ÿ´Oúho;ãNüQZŸ z¶ªè—#­žÝù%¨þQT€¼Côç–îyÍì}­$êã:Ì^I_DxÈZô)æ¡¿ÏA¦]ü²øZî'[Ìl!¨ßYs…›\a<nð(ûÿLtUŠž4–‰ˆÄ¢°6P0inõ%6CI¯E»tX&ßéé4¹À˜µ»NÚ}Iµ÷þ`|,™b7cñÒ‹~Ÿæ&Þ ÓˆmŠû…™gŠ¡0:o~X|ß¨Ê ÓñLC©Î*ÿ!Þ»‰Îê4wÇ9ÿþ† âS^Ùtð„'èô ¾ÿKyHNíA¦+bâ‡_P κâ%"ÏÜ`nè1‹L’ý„šê%°¤z¦; žC¥ÄD±*žöaBÚ(™µ²Rœü&S¬p棼å²ïR±3ÑÀÆ#Çf¢‡œ +¦QU}Äul€q"bÈSÖYjš%âúÃE~52áàSúSEeê”B_8I]ƒLådj¥fÏU±˜ÓóL‘J±5ãB'“éZT9º`\e ]Àw†yg‰:)ÈÌ )ÍšU_¦ìd¸k)õGW„£±*ã‰ÇI§mš™ú¼wSqYDŸóÐ`¹„ë’#?ñÐßyã˜"¾v›NlÇÅpÍp•Q¿„­¨µ¤DLwqîA¯UƒO8ƒ¹)Ù\áùöx\8âK˜S\êÞpÆÌ?š]ØAí/bãUã”Dÿñ*ô3E‡SÚù5ìÖ(ôBÂ;ï®Ûêõ—%š¸ñd,[=í ¾v9Õ$Ÿ?À!ÝdZS#3FDA'£¯¼]s3»–‰.Z?+<é„«¬©™½øFÜÙ5¦ºSå>gDKD7N$4§Ë:0 ¶‰¤Ê4¨4â3Àˆ aÙz¦M¥’ÙÚÀ‘~ /êØ/ø7µªAeQÚ?Å|— Îñá[E ÍÊÑqÖ ^‰yìšÇF§¾íþöºÂÂŽSá86èm±‘¸ÓåXÑÌVK¦\‰§4Ý y¹¢gž~ÆnOKÕÓõ[yÑó,…w³vžS@e5<ÚLCiF Ç äŽd,Æ–V•1œ 8J> ±º+½]ç¬Ø¥‚”¾ì[nø䇡Š‹–}Ÿœ½O³h0Ñ’¥ùÐo8¯¹ DE33Õ€¯õT+8ôj¦kŽa…;ÿX·%DôÏטÂ{á.‚¯¾ÍQššUÔð-­D¡Sý2ØÌÕŠORß¼‚"Àdžý5»>š±iÒ¦Þ±Ÿ´ºc#@%¨ä¶`/urð:ï1¸h¦Ø…  D¢…îåMS6³¼ô'WÂqã›Rµ 1l` )5¢#í+ý>1bŸà߉óW¤²`vHÉ5Ðí]n9šéA]š1ƒAXÚIŽS'š!uV£ÀØ+g0ÒíÀ޶Ȉ9™û18™æi&M…k9Ìvi;iéáÒK—ý$ËKo5«RÔæ _ôþf:Pr¥q>«‹{öž ÙÙ/²„Ç9¾7Üý’ôCË­G^à“÷eƒqCQÖX /Ié[•’Ü\•‚U}ðGò±OA@û¥¿ü)õ%Þˆk‡H¦ÛsÓ©2?7;TÇ3$ÁÇ?Í\DI]ò íî8NF$倔Í–ô‚Pýæh±Q|³ë¡žµ¤¶v ôGä2WÊnËÉöD"9oåÞž¼!Sˆ¾ÏR:ô»>2³TœÒ%ÊÿO/ß±cSsêÜÊ"¥mUÑræl$Tƒ"#Ý{êÀs¾s‹úÎ ›&9“ßpòÀ\[f{)TK/&5ôÉt+ÈZÎÝ2A [#|ÉU€^×ò_Aþ<tܧ¤¥…Ö&f§‹®’Ê^«v’õlÚ°Õ=óGû’tò„ÝÚs•Ê«:Jvžlå‡f‰f°¯èúiÌ?†ûÓ]‘ºa¡§^Êûï 2³€›Y*JB¹Añš/ºi6¹¼ãaK{›Ö”’°ìj2Eý=+ùy¹T0–vtÌ­9©RÇÇØÕxàøœWxm/ê/;æî£GŽ9ÃùKÑ ,¤ö`ûo£F÷ïÅeOzÔæ`xZ~Í9>ãŒ|)ÊHÛýmþl$h’ýè’?Êؤ}o•Û®¼  õÅ€ø³k±ì0¾Õ»Ô)å*&" ?y¤r–Ý ·õ^i&bÃá`¡–ŸŽØjðÈk] ‚Ê? 8ãORL¨ëíÀÒhëœÙc¿õ ªN³ú¾V}7§Á{ƹF™RΘ®ráê@2y>@œ}s€æì–á¡d‚æÛóÖOæI\e$,ƒþÛÈüp Äîni¶ ½Sé ´™ ;âßýÌÏþ ^'ÓIÔø?¦þß\ƒîÚx5cƒÝý™ŸàÄ5‡Cs¿îE>§Ð¿ÞÔz}p¹ ¤%îJŽæÝA„½Ìl˜OÐ uJ€vd¼l€Œ˜¥o&´NfìZî¼¼¯EÂìð®£I££3äÏ‚»¶žõ÷‰ÞHǵÍnMqØïæù@…ÚÃny}¸ßŽŒKë…½ßĸÕôy>âPe°ÞáÎ|’»2±#ZhD{uo¡!Ó¿‹EŸv®“Ô½šIõx»/®N.\@ïgñŽ9Å[Ñd¶fŸÇõ¬DVî—|*"Ý¿âJØþ !µ¶°Q ÂÈ‘SER—K®*Ò‹WXÝ+¶È¬™¢AMµ$ÅbbhÛÂVWÄ€è"“‚8ü¼GÞ–ªÎt.Fw°CIÛ*?Öe­s°Ü’CdŒ…½Buzýàî–ηåôN‰}àªxÞÐÊEs}2³>¤ËW†*‚ùÅrP‹dZfÓ:«/Õ$ö“Óˆkú¯F&ß›z0×ÌRœ8Ï,R×ÑEˆ¦z_5ż×2•RÒtFý¸oÆbõDôS5ƾ=Y³®:X±ýaÛ¿cÃæ˜gªAÖ÷m3–z<ð‚¾ã+!ë‰ð…bÇ{ð…`£ÉÉ~Ò€t¿‹ðI‰20Ït9àŽ>.nâ  â$ò$=7GŽ ÏâNEÞÓ«ÜÏñ"H"œKŒ·†CS÷U nü‚»ò×÷™fãþÚÛÎÿe§ÂŒÛ¼úe?bo­LÂí†Cq-¯Àô­üóy¸?¦® —æ&Á™‹÷wGÓ Î‡êbÖ ßp¢™sÈoinšóËY|“|ö›9f…NOÕ|`MqRD¤{E„ åØgƒèi_·Ãë`{4Pà…™{}Ò¶šTüÉë~À åqó?ØÃ;Ù¤w€y|í%}2‹víWÐ ,éøOú¦F4‡Ø²p´¤)v*ŸIæ°ÝkÖ_ Ë?,yÔ7¥"EP#¼+hÅÓ¦*”M>?Ú¯ÅCvsÐGh°lYÁ$mlÿ^ê³ç"æêK}:ÇYŒ¤¼=éÂ1Ù,±.ýåÏ4¦ø5´þÑŒTÁ~jJaôËLmûZ•.£6"-u¹±y`‚ÿ)áBù„icÒ/ à)€ÛM:ù¾ à™®›»4¨Ã’OÖh³6M/Û(Pª•ïT¤Uø„#uӛÞ¾Ç&ŽS:#tu/ØR³i ’<Ë°Oí±OÓYIôDþÒŽ«Ò0ÛÊi­±“‰8hl‡Ü G>!¹xÚ¨7S¡þv·¹PlÀ9ÉŒg´³W4D›¸`~jŒ&ðÍnUÙ œfšaíO¹¶ð6k[N¸BK½ZºÀ¨4úIª/ ŽoÁ}@̓LÉSŽ|OØZ»ZtZøé_*Pµôô@a•z,,np¢q¶hkÝJg Ó#7Ÿ¦¸Õ/Z&9óóÔ356Â#«‰p¾³z³äCR••|%„#ÃLœú_óøŽmÁ$–Óf…‘’ EýåùÆ°/e—:áJ¢q‘Iéë šî$x —;‘YÞKBöôü…aò>ƒð6mAEzcÿíj9ï…y±?i:; €Ãz–FœùÓ|¡ÊUÆlº‰M¼Xø7—ËÆõ‰Ðp³à¦ÁâF.|°/Åòí°·Ô…ä÷sè.ÒÕ‹eÚ¡,P­xÏ^ìü6Ôé—Ô=Z¤ˆã“@h²#G)0uɾ(U•âo.D¤_Ðn]w #Ê;ìžh³ÁÜÙÙÎt¤:ÅŠ´Úúa…˜¢Qëbl£ëu–CÚÓ‹¯ùÞ)ɰ˦ÈÞ«Œ7f:ÓŽz·I¬‘_Aöá·“ÐhkÛLØ…s“FxJp U9¯Ìëš>áû˜˜ÆÁ¡‰% rg.·êRe¹án¢ÂœÉÃ[(dl6ÑýÌttêUšƒ/±(äà醹-ÞÜ{ĤD`‡H={±Iâ¡rû% Ý9}WVYÙ¤Ž— #-Í{—‡dŸÈ¾úÜ)–h-}=ß»”!/L-–”÷ ½ɘÏlg¾êæ•xæ ñ̸ór· ™2¢ê/ïƒg\³(¾¯‘¾1Sëß/Ñ=6ëZº9¼ÏÒ«º"Ž>¦¥àåô°K®ŠÎQNìܦHdȳ‹Ì™(Âd¬ ¿Zs+:šÈìÉ ÌWŒƒKCâ¿÷x_?D2jÒ™¾çºá¤Ç©¥zD¼Õx¿tùà.$žçH3KÂ÷ËôöGl›z§¨ŸT°¶ f©}µ_ô…˜*9Þìë ³׊zµmff¿×ƒ¬-J³îs[ñ–—ÿn´¸9Ø™öMUÑBïµÂ£Còh…/š¤ÒýíAa xÇ%w¯}¤.@C;'>cN«í‚jÒ{ ÊPxŽ.ÀIѨ48ØXÍpb{ ÍF• ñX¨&ì.îsaUô‹fE«öQñÿP÷çßqGÚ0ªslq'@ÜEIEÙì1Á‘ä±=æýî}/‚+H ÐÆó[vwvw²«+[µlüõ_<‘Y™‘Õ $¿ç½÷œoŽ‡BFd×’•K¬O Ó¼É6ÞÍí)id“ҢШ+£7ÂÚž’7¤WCA@×MŒZ$–î[ þîD tjRR4á¦Z0X5§½rkÞ#Æܹ´ IÛ„w%¯+>DËGÊT‘VÑnp°°u™Ñ.6WœcR±$GÌfgz–#<Š£÷CBÜCô˜*âϱçÐ\-H?)djÄ{º>¸Ì’y­ÞÒÏq¯{. “gv*ÞŸ‰ˆ ­êÓ>ÍŸ˜ap¦U¿2xžì2ýˆÌ@ß_ëZ„ O5—.£%‹ö­*+©sºeIëÐå–Úîw!ÔtÍmÌê¸MìùœNËÖÈ!箈•~»I‚}.yZh¨½'ð…¸Ã‹8Õ¸ƒ~¯8‚@¤e ‰ØHâZ¤Ýîh=@z¤èòWAGDjï4µOÍ0ä?ë‡Uõç ²<¶Âs’>&F®ß蜿ñƒ½þÿž °W!µr8j°n0°½{úÔY,=ÀWLŽÍ‹Öä«ÜÙÂU’Ë°½Dœu–›D·aò`Ä ),Cù2-ÂÊL[sÉ.‚,8‡=n|1@ìÓ <÷ñSƒäªsŹ„Њ~níL¼Ó|Ž¢¶¢œü׎X†J"@¶®²c6·Ë3Èu“¡ÿ˜¶8·…þ•2Ø#Ñã¬IRÄIÒ›28K‘h¥·´Ãèc˜"µ>ÔéipdÐ"¶eŸ …÷iûŸ4'¼õD[ ±UX˜YfûfP ÅMÖªšÒ;a9¤iÀSÒŒ Nƒ÷d€¬½øX4€®æ\¶Y¨ŠÓ&µÌÞc "Û]ÀUóó‡H¸qË´U¦U°T¥ “»¤‚¯¹~ô¿ÄçùEç"}¶ÑŸ=Eyõł涞mÔ[§ ®—iDQH•öÃ?q‘È9ãضn!.¡ìbN~_jÊ¢ÇáZx¬ýø¤ ¬ÈqZªàÈ{ô¦ì„Œ±ø—AnTç. 0ZÖÑ~Yµ CüS,~®$\˜à‹CÉÅ °úÉS8†«ŽZ ¸9&¥k|—CIyÊÑ€¦¢×ªÛ(gNã Ž¨M¢YøÒ¼ïË•¿à\þ,¤…ÙÑÍï ¡ óvÀP'¹ø™Ç'ƒ8‹Îqº2 Y 5]ŒÇBwÍL²g±Ò>;©°MMy„µÂèVîµ1Ÿ’Qoéˆß¯Ä+úb6ŸØ`8¹Ymï‚ävq`‘ ù¦#R ¯p³) %v·Å©Ðº¨5Q¹ÉUŸñ±äØ<PqÛ_t‡áU<æè2 ÃÄߣMtk±ƒ,’äÎjôý†¡d ÷K]MDØ|aqË}à9§õœŸ%@-×@É cýØÊe|GJgÁ˜0¬Gÿé³ö(Ê£™ù*7:UÝrV‚] \40Uà\åÐr¼(²o£å›ÉS›ÙaVö$*w9‰akhSâÐ*´xÿ¤àÅJ ¤›` 6iMÐÕÈâÐë°dfÚ*P b`ª`N=¼«á%©ТÛ×¼/z ¦¯€=ŽÎøF~×Á—ƒ<4óM™Ó²a ÑKïÂT ¬ÞamîE >܉\'ÎOé)Y¤Tn—ÝÖ ‹€°bd #$sîdO±BÈãnF“·0„Û(Ó<ÖÛþû‹\Ä}FÒe-²:‰±÷=ÇËíŒs=–õÿø!£°ÃW*,MušhúŒ¶¤X"8öCö?æ¬Ý³áG­CQ÷IkBA,Ej«ú‘|Fñ¾eƒæˆòÒÅEò€´ÍiuæÃ8´H,ûÀA»Õ‰®•è>Dœ†ð \Íα" µOÔ"›‰9åï¤qÙV.²‹W­‹Õ°îÈ­Á;ýd;œ÷ÅŽÀ50ö²h¦£’¤ ñ)T¨û&¥2VäûbÂ{qšýa©'`%Q¾cÌEqj-D”‹Ü9(-®u½m³¼'(Ù®USËð성øyòÝ™åªpàDöŽ*1}{%'r.=ÄNe{G2†¦Pyj- Ü.̽ÀÙ¥ ‰zBåbù :ì³qõsÄ› ©(¿Ä¸±HËz qZjF ,;ÖÂçÇ,¤åÏÂiAl8¼}= hy©¾ ªâäÁ=zUK•ØuBªþ§WAªK¤‚”ª˜‘^%´Ê×Ó¯³àÝ2¨k Qž„-y§(Ù¥‚=ü–ä¯GGifN–‡•ß'¯‰ÙÞ°c‚–µ}œÑ–U›©Ðí$óƒ¢YÒŽ1íCM´jƒb®s1 5ÇW ˜6´æl¢û°ç•I<,è&7ÉÃ$e êÙd ªEä KÂ÷TÍ#4ÕúÑL©){ÿNUíL½áã#n€î J˜­ %X3€nrdLW†~àxÀÎÍ}™AZC“qÍõ`;îAL{6Cá duGË3öDiGOzac*ÈGˆÖkŽ²oJ5È;ž#æ,e¼2µä¯Û‹‚P>öÙòV¥cÂŒn¬úªça‘ Åôär•¾Ó_j‘G"‡3ì>ª<×q}mÝ*}c’Êçõb0IoΈéYÃôBáË–èÂG¤³‘*”Ö¸ø‚;ÁZé C‹ì@¹Rég†Lå­\Äñ”i•Ò¶s¥tÇÑœnïj·ö¤”ÊÜýD†bÒ¥3Å äô+†So¾ïdä1CúÏ!ù‹¢^i¶@„n3/Þ¹ö">éf.’XDA¼l5¡)Wï‚iœ-°­Æc™;Í ÏËPÏ÷+¦Òµé¶t¶áäáos/§» º5v®¦@l¾ˆ5[€äshP¥dÂäÌFŸÍ´°»Î¼(mÚ¹¶EŽ„Ž¢NÄ—?„,?Ff)¹¤Ýv1ðí¬¿Og$’à24¾R'¶á71L{f=+þ±íÄ{ê¥I«É Æ‘ì=þ ·¬„¦9£=b@;ú4›Òf[ ŠD Æœ™ ¢&un¸4ÎðI¶K°Þ• V'Ó\„Úc.,äHÇ} ­ÈþI7·£o­…xV”y®…t„¸kЩB¢E·Ò¹ä5G»àT½òœ—8˜$ÒùÝ–CztS£d'åŒØ¹B­V„éðþR-£´ª›ÜðI|©üFÄ'œ± ©c|­ë 6%L± ?çÒÅç5nrÃyŽ¼kŽáÀ‹âRŠ´¨Ø0 W& \eòfáLìþLzcΘò†„äøVªáÜJÕm&uüˆ\™S¤ãF@$¤ìm‹C›ªî0cF8ã‚8‡%±‡çóž¢E@É:}¸R¶;M›:W!ðî‹N?Nb*bxP1GiÇábòXŽ ƒ\F¿ùš§ýû[›¥½ù»/Îk`$-Í>qîÐ)cÀ8 ½çØVs sâôš31ˉÉX¤´<ƒ»Žäu1H¬ÎHŠÙ’+ á_“s«ŽÊ™;щ Li‚!ý –`fÚæVYЪâè˜I9kÊQ¬*épñöHMNzÿFäÏ¡F h·R‰‰¸ ÛÔ‹ˆæµvT@dÜV@Iªy4I®:J ÀèKLŽÇUjh¨þ’^·é÷é¡ûØ¢°Ê<ãb ùý{¤>¹?Ký¡"!oòAÏfz’âïyö±§¡Ë…ïKOüKä;¾ÒgíiZ4Á/þ 7²)GžÑ¯Þ(z}hí±€-¿,ùÜ…Üû!Üô7G!^æ‘…uï³vÛçVÌÿ¶.–«Å­ã摳õ.它¡3oŸ=5eÜ‘[É{l¶ÕÔvfû&—|V +’äÊä‚«` ?u ®yò㥩›Cž$dKIÉNSŠIYxë=#*š[’À0»“{>$òËP‹oñQ{·…€¿µ)ëML´¡ØP$$êÇ×AE\æ‘@´Ö÷Ë'(è5 òûzËñ¥hö”‰V?Ôt(­«ýßÐéá hý3ˆër¸c䬙ü‘xËÿjŒà›?C‘Àì*‰ÀsëqW=B<,—‡rÈÎâ«`P08[£RÆ"D†ÓÀõ9œôpÀ­ Žø>ë‚܉¸!X0žólˆÂB‘µTÏv ‰f)éò8¥å Áz±AZÇ¡˜Í_º9ɘ7Sþë- @ÜÕ¿êvÂUö¼1y˜,¿;¯—¢ë•\Ḍý{¾ë1©Ïiƒ­ü wÙ+c¦Ê S^w°i®1•íÖûBÞQ•$Àš£”*ñJ.h]dHÝ`"™]3KÍÅŽÇ@¨kxßÅÚ‰Ì8ÐàG ?_v\F¿nÇü¾'éÜCŒ;ôø¸ì¼öäÚÎÀØm×£ K p˜×Hâk~LëQÓG¤"ÕQÀ¹Ò>7¦ý8Á¤@ež‰9‘–vba¤„Fj͈AÀ·X_Œd”„ÒNçé¤FU3˜ËUjZ·4t}zbZÑt(*SmÖÖü*.½À”£˜óF„1Û©šÖ(èƒlŠ: ñå¦SK¼=Aã‰D¤ó@úÚl¤§Ñ+DLQwÅ椴ðæÑ'ßè± 5~.ƒ KqÔ -À'‡¤ Æ{åüñ!Ë•4{%øu0 ’jÏrDè\c 4”•È³Zªâ+`͸ˆ-„8¤Â¤Î{&Z† <¢3iFû‘¾!WEŒaNL”É8{%0,Ö<£ä<^„´ƒôp™“•0—YÓ~•o|Ÿª¢‘ÆD—ð d$¥Û“R–¸ãz†ä/û+:o¨¼ßá²Ï•å¬æ$Ýá®”+*iFL¯» ¿:±(°ÿ,Øš¡E€ ÃoA ò`ˆÇ ¼~²Úþ`ëÑ¡|;«l«ßÔeZ0‹™üù›ÖZà/^`nt8q«ÛÁ ž¼à×Ygê§d/¹VH¢I0‹þIËD¸‹¯UÆ„=‹…í¥T¶Ðí~(Œ4WAè:-%jÁîItÈQLñuR†(>H¹Ø·ƒ ¥•‡¨¥á'€®Š&sž:—–3œ\ŠÂµÞrÛ˜³Xø~Ëâ=ÜýMGZ1h;¬µ`°`„4pÄ£|‚¼.È­±]ì`-Ë—ÕTƉ\Y©&¯?IáÇdqØ{-¶^É*9â¡î ç r’s ¿ÝÖõ)°¬Þ'‹ÞóÂÞ~?£»M«»:ì™*|Wñ;c¹£ߺÄ(q··ÁòüE$M`¥Ã”IÑWÅýŽµ †˜¯™óŒœ‹ˆÕð  Sdì&ÇΣމT…Ïè.¬( œp]*B²¿îœÃ¶‹jytDm¥…ããöR‡ãš&¦Ï*oÎy(vä†Ô1šüriö #EbÁ‚œXéE¼;—@²„(>¤’(vš,Ýx£ª2LÎ_cßQ«pÍ~„ø¾û*TìT p(Cá‰:Qµ7´Ë8å ñåâýq¤Ñ¦$?—cw€GîD…6$ºÖî'‰ÉXÂ{{;a°“4æÆÜ_bv²¢î,uoH13QEd½m³­ˆVy̹ìXyHß¾âôö1«‘) ”E×10þ†«.Ìõi¹^­x>Ggl”)gd‰ßÈõˆ€i¡`Ç6Yoñ«ü­HVÖn°K]öŽƒQÿª'ÐÑ=/U¨Y¿ "Ío¢AÌ•v/%X›ªýþ« 0Š ÿ ‚w[¾;ë:5ÝüIZ²Î†ï†NÔúCæ´Ÿö)M:>ç0×C|ɶWù${¥§‹Ô.¾¸jÐäêWQ÷rÄ£ÄyO-I¥ÐN‹éX@r$F1‹çƒ§ÕØįÅÄ×àü¶ó%2îy"ÍÌZ³Ñ²¶źpL®G1Q¡®VJB¦žw'W£óü\¤¶3–>2 c5°:58l¨>»mEhÓª`ì«jzù­:ió® p’&éOÑ |[°IÅ5Ó4ªÈ›­-/œDJzöZÞ¸R­„•—š1T¥ÛÆÓÒ+9<£ÝäÝô™Òr•«FøJ!¼y˜LÒ–8¿Bcí÷86õ’Q„þçè%¬#¨ ¡OÝý®¨VAúT¼Ý-&rÞDY^ˈM}#ð^q0Øòo ²¨ý4ëÌû`HnHÉÎtÕärv£›t·-Ÿƒݨ®uw¥2{G ¬ŽÕ–ºWj=Àjž,×Ùƒ–ˆÂÚpÀíØIx-ô0žöVŸD›G¤ÚòTšMõ«ë%*²õT2zX_ƒ‰F=£3%2Â[ží”eº8MYjÅÞ˜³ÊÒ¡¹H”˜‡t»¥«ì­÷"'vê"ƒ ·<ëZÄ|#ã¦"ý9°jåö8.š{éùØP/«{ ú;’”h‹RÃóît¤P)©;8µ+5OnI‚uüëä¹V³‰üX›Â)\ŒÐqDè$‘&§áZáïåÂãÇìÙ/ U˜²q9 Ï'z5ý8updŽOKaÒÄ…»QÏHÌj'ö#Gº˜¯l3ûþ;€$U´ÏÌ­¡/Õ«WBG’š+¹”'Ô›´õ9é˜2n¤0ƒìål®¾úuGKÓ:>'b€®û’P9¹C% ™êu©è|”‡`¡ xäw*jEÿ,ÛjÆ@ÌZ‹«-ÿ¡å C^%ð&:â|x2ÂýöõÇ8È×[ÎAiO–ˆGµÖy÷,©ëJ‡CÃR‡ˆ_z[ëÉæ. uâ´§"`ŸÒ|bTs83¦hFj%ÅURÈu}wi/®©g;kdÈô!5sEšWü]饞;S½°Qÿˆ$s7v<1®Â rl‘_È“Ã<Öô³Š¾s1´¾À`\<\´´µ™HÿÔ›ÿK‰:ðôñE|K@i¦½´@v.é­Iš5²®á%f–"¹Ó·a‡ °ýiÞø/õXi{tnµª>Eø"t ;$jÖ¥,M¢²Ú.Θçh7LoˆWÓ€2ãÀA@#i®Îö«Ž)L¸®á*x4²Ó¸PÑÕöUqÖLñXvŠz²hWËŸA+¹¤«êëXAh$œ°mOóÍw›‡j&ô€ö'Ñ~‰ÂŒý§„3fÚ ÏPÞ"ßÄý@†xÞM©XA|êóØQ·ê^àG5››µøu`³tþƒû¨KÕ´1|sº¶^ZZ³ˆ6æxt€RÁvÖRzsïˆ~ôm.Têëõ\ƒ’ oõˆí¨Y÷ õ:ÅÃxEbMšu¦=ö1ÅIant¯³wSÚ£dü92Þ6ÒGBIE­3ÖÞ‘-,ôŠ²žœÌa‹W’B¬Ð ©‹hM1žÕÜ? åŸvÔ“8 %fD•L[+@.YÍz` ¿¼XàH¢À63tøµ¡z–”3@Ê’ˆ&ö=*݆aÑž7 /o¬Àú ½àÀ§¯&¡w¸hiÒ‘-ªVÞÿ;¸‘¯¸'v äúŸÍBg[C%°ümƒØËL5ÙÑ…b_¸êy‚t°¨Ù­’ï…fÒ àÔXw÷A"ïEHÁKLظhwÇ™”GÈ×éP¹‡èÄI¬$Äv¢ý‰©¡ÄÌS”Nš9K´ÕÈðzcr…ÞhàⱃÐñÓÃ@2\X$×I¸ÍZÛEu½ý7ÇiöˆcÔmåâ8±‰ˬmÄo‚ónβ˜îDËÒyÇv² Ѳ…øf<¦S‰ÉÇ_f&Ђ—|ÿ*c£¨’#\u=Ⱦ§³žÈËÕj*÷‰f–”QÅ`±sé-ewÚGs2=NѼt7R9E¥I㣿rl(ѨKÚ9JFFÝJ'm¯îïïΛs,'×#7ªÏ·±KB±¯2I<Ë×õ®Ð\Š̈U)6®ml\×|ìrÖÛ•‰É1á÷zÛîNG8ù›åZBö‚Q—Ë_wΟü]¡ÍÍ·M-'Ðœä¤wB×læØU>f$‹6…r…YegW¡Ó”á¤TÒ”“‡¦ID8ºÊôçÀW "4UP€¨ÝböK$,ìÒð6¾¯†ðÈokWkXÆ'R’†´Gæ\j#Ù#Ë4^cQVpn|öúÆpdÍ#X*É º·Ä$B|“ë-¿`ráG‡ØÒsÕŠ„!Q]©å·ZNü, Ì®²¹ÑCÜ5BaÕù=@^Q¨ó̘eÕf%Jä |D§öˆÛÜh=½…+#_WG­o]:ù¡kžE¢ÉGŽTÐBrgG#"DÈ ¾ÖE•$SùÎj`F!¸üQK,+ã¶xdÀѾÍÞƒFnÌŒ‡>4¢<-Óh§ôUvÅõt™„%«ô¢  þô¢ìH ¨›¾£r)Ü ·f~T" üËÀt~ÞÇîfÜÎ…„:©Š6ƒ: õÜ5¶üO:¢l Ñq±ûQý„Ʋ1ÕR÷£FŸ-Õ©ˆðÄ%óùÝ„uh,v„èlú¶»0§ g»Í`šw?¦.G8£¯þúJ¤‹âc Ô]ÊñžÂ6YÕmj¹3–‘ÌÉÈd1«áføé³tÐÇ ’Û±Ç)¡‡ªß7Ë! Íñ¡÷êm%tx™º'¢ãüN-A»<'=Ù.2Ù¤K:qÿ“æÊCñÈÞ|ô“èîb€ÅÖYO*#†ž}¿ùýwß}— Ò)æ0jF˶&šß¦ü•í›m;n¼¬±¢Äh3ƒv¿ íÉ…˜´IÒfDöß²\ÇÍØÃì}SÏ3ªö¯8ö'ºæZ™™ÎõØ¿m§™‰çá‘E™¯>izïèóÎh¦í‡t3:Ì„Âõù÷ªìuœ‘« ×M¦|„z\„‹…Þå}V¹Tr¶u¢L.Ž 5Gö'éúgÝqΫ>{ݳ¸ÒuÌúc¢úüµ_:?Ñ€"»ì8¯Ô,½¢«DM(žÈ…+ÿ{óïé¯÷EOGèâo^óô†dìEú˜f\¥IGy˜,MÙt^é0ÎØë-EâøÛùNnYÚÆÑç…®í[»jŽÙ [Ó{e#kü›þ†76á+'}T¸{ê¾Âܬbý‰JjŒ8ò;öÊÈ¡ï¾ÜÙüÞÓ7™Nª<}ˆ§¤’º™ÍG{¶ì›!ð þÇ e?JJ{\bÒLIÓö—m›U…×èRÖ“&ÙÄ.p§2y}ÎŽÏ9„á­‰5 Ã0ž °cbnºɈœ=;S·/>⸰y÷B¹=QƒlV’¦«:ϱ•~‡ËûõÉâQ‹qsq—·A0ªÂØ‹„ÓÔ€ f5ñ¹aïòTT&‰`‘û-ES²ýÑ¢»À¹û„Êî®À¬%¬Å«-g/_|št»%=@Hç ïñªŽER¤§Òá—l6áZ0™u®u£eöNM%²O>}z^ã:77NF¶ÄÚANƒ0vëeB{ßá㬚+a¥Bù`ý³â(ŠöÆÄÂT–nìðçˆxÔrz^ã"7r}~ó¦o:gÓD•±h§cÄô8´«¤µ}K{Z‰Qá¶<Š›ÿ0L[þa­1ºÚµ›êÓ@¸èrG¯LfèØND²*î[ÍlÒŠÎ8[¢ŒF΀S|ÐÈapháoœk5¥Y_™0—×ã\•;ãÄGfùÎÁet²v.3‡Ôˆöº+LàJÁ¢ÊÚz "⌋«Š]ܳ ë6™ï®$×®¬»ˆ6¹ˆãÇA×̶Æ1Öñ\â–¸«1{ñ ôÕ–þl4ÒƒðB¿ïis,>œ•öyq?ö)÷l,«˜¬þMËsH‰¾pæ©ii%ß³7QÈP†Ý.R„ÅöaMŠ6y#’ -ùYÔP§ˆ)Î5£â6S>¨¼°Ù‰ªæ¦É•—˜9àvxÃÔ\Hœø-´7N»¦*ðb¸ò5³\Üý³áX•@£?°zùê®jK§¶'Ïã´0a5¹äÑ.âÛaYq;x 6¨­“§kR¯f¨”À!ìW[4””ØïµÝßsí\†äø1q}2?¸ë‘Ñ?qø¯5îr>¡²Aìüg>ÅTkfïê™0B3 ÂJÇ¢ÅtD­ƒvÝ‘F.6Ÿ&„H¢`‰ ”Zu©æbÀõPFôø6¢EØÀÝEÉ$^»[žÄ0«,ÝÑ«-Ïg˜ðr¶I¢íMÏNtþAO+úæ6žb åté:z…ð½LÞoÊqŒ˜s¦7MÈ%'",‰‘}#TÒ‚”y1]Àˆ-S6¥d€Â§>h8DöèyI“F5¢N&º”°ú_c’ ×—»\/ÅO-ü:FŸ¡‚·ufF¥c4ukŽ;é”Ѽ 6‹S“£_tŒöÛŽ¦8p³Ôö^¨†æCSpÉ°ÚLóèY%=¿Íöé?¨8ñãD±»o‹Cä ­ÿhóf¦³V+¾å~Ä¡¡©&¤§VBzâ)\ᎄA7F‚¬ÊiŸ1âáƒm÷·Ô(ÎùßVÆb «% •š·Y-V@»ýkd|ZÔ#±e\I^éF‘º+×ù:wò‡V±ÞnYH½ê"€Þi™jÀ`Ë${„š¼á§ˆ¯¬:þ¼ÀGdÏü}Ë4™Îf¤.!˜shZç<©ÝÑúI/‘Ø*7+fg"¾È<â-@J‹­^sÔ#Nýš¿Ï1|Rïæ¢xÈYžóð³Ú”r°MÝú=i&2VÜ`8VHöÉ‘óY@–¡³~=÷šÆȪ‡hÚê71 p6%½”ÔÓÐÄó̈y¦²~nÎpFN•¨2·aÎÐëmÛ÷¸aHQª–=(¸$é7…FˆÁŽ¥Ã¶ñWÿN\;zD}ŸÊ ³Ï 6¢¡81\Ù ˆñÀÅ“Xa¥ Ä…¾ã‰´1W2fœ‰´ƒEyÿ+G;FB‚ªÅÌv7k“ å÷2"½ŸÛ1±[¢Î^`funkÕµ€!ó”Ý“!Ú4Öuˆ´èi¸)iU€G§ª_ɇ.¢ô~í2·%„2W¨‚À¸ŠŒ,ÕMGæ,îä®ëŽˆû®ñb…Y·"ÆžO] Ô¼éw_«¬s[ÛÍÿüA¼VKÐø´ýˆÛì€ò~wWêX»¬è—r<êJA¦÷$=ŸëRâgѹx»e´ÚMÇþ#r–¸ø‘Ï®‚G÷mdÍÈ9Í•©-I26Ù¬‘ɸÄU± 0z,Q9„[P¹Ô´CÛÓ'"]ÖÓÊU;TÚb‹ÄþUzSrL×j»ê¦0^ÃQ¡•àûÇÁuÏã„€r (u!”•9í’# <nH)f‡f¶þ+ž‘ÛaJ©£çäV¤°ì §õí¯7!µ<†?E&=7{Ã…ö¸–²EÍý”ã̧±Müït82º,UúY|‰<á‚)#ô8D3œIi|¢ŒÒ¼qYØGHàmë+O®"ÊÒ™áäh©uÐ'[töÐK =W3-ÛM“Û¯ÍP¬F׆EÔ%ɹ@ʪNëØß ÿ²¹û”oÁzŸ¼®(ÎÆ…¾¤#wðúpòß`Â)K7rÚ}:v|†äyY¸¢ì,õ‘ÆÖ‘­]O¸ú†Ù~׸½àêëyǪ³êü9§‹Gòb®€÷‚ v¤hÏTü$®§;üe³ÀHk_w %#Ešj`æó(›2è%} WFl.¢ç:I¥S`…HÃÎÇY Rma{;†`k;~ékNp~à°-{Õ_ËG/A-Æ©Ýá†çì›®=ÂÑôø¼î‡eÅÓI‚°2ñÐQ¤Âˆ•ÀÄ Ê>G'BÅz"þå¢ë-_hº¤ ˆ«-"¼°§^@— eßC óP-¦s)òÓ½’orÚ 1?ŸºÎT6†¼ ÿ¦ù§~Å4‚ËÆo‰qÑ]ÇÞXë3ù‰ÑdˆG1úLSÙ^nO…ÅÛÑÓ“ü×Ñ0P&zOT:.pì™sv¶ oµÈ„yù$ë•J,ˆ’æ`a>è¬Éf6¤—\!: TÑŒ·zDg¹‚}ï¤<1ž”ÈÞ§¡DäçDF+5LFåb:ɦj&+>«0Ù4jQ׺Ô5l™ôPÁùKD’E‡ê¤°Ò°W©½¹|«–ú’²Àûº Î6RÝ;å*Ïò™…U2ª˜W@~³hÜÚ‰ò2& uÛ|‡WvÂÏ>ÊÍÖ.ÀȦÕÿy-’_›dÞç€]S^>‹ Š¾¡Y‡í \OäõT“Ó²$&ÚSùPÏcDç=Ð{j6e.äÝÿ£B mþþçUêýú¨V4²³1M0 £‘hú¤B—qÎ]¥n´¯Èô‹‡D [{ДÁûìãDˆæÐ'Ì©‹hÅ XÌü}?5›Dcé¸:"ß¡†C<6(¯0´Ebg'nÍ⊠#…ˆÔÁ#­sQ¥»Ð4Àþ=düw 0Q=Û ›\ -¿EÊï9_ãT`„€7¢)ÓvcU‚µH׿ÖÂí-9emEúsöJÓô/Ò¸\J;ªb÷€¶âhôÙw&FDR·Ô}])‰Dp;pzÎaa2Îú–Ù *aÓM´^¦¬D –^òŽš¦ÊËþÇaCûBP¹X;¼o€éˆÏx«ÓEQ¾»Ê¼‘üîIÇ“hÄ}Ì”Š"âËOÕëè‡ï|b@#‚Œé7cQDËc\¨ZÎÙ±e,Sjñi,Ùå`ºãŽèÞï³ç´V ùM&ýÎ`\©Vt<ˆFdNI(.߆òºkçãY{b>ÝtFæpáTò­‡ÈéÛBQ ÈÈ']¿0÷è/"ªáz a\·µÔú™…mg:»ÜÛýCÀóÊpYɧ(†›Áär½m§²=éåµwл.»v´^a‚îž8˶ªë—TÊ:‡x‘‰NM$l°¦(*Æ|ǤƒƒuACÇõ“uÞ&4> ¼V%œ¨¡¯ Gç‹=•'™ëHË@ŒR#Ž 9’ü™Æª† :·¹®#B?|ž ¢¹â›Ù· ü!?¨Û:‡žëÉ¿kɯ›>d/¨X4çÔ]ºÛveœì[즺{[žÄ•|¢² ±r‰‘áÔ}]È­§8#m—$¥"7¿í9ð/Ì8OÂHî&‰²{"¹÷#—³¶MiÙáߨÃ<×åHMH!Î^ÃZê½»’ |_’x‚<ƒ/³ÿüN¼ç;©ñÁ&nF,3 ‚ÒÒC™¢éÅÿ.y­%¿` ¡¬ NÜsí«P7Ž³‰¼`[:nÇÒé^ >[c£Ýóp!ÝîþS²QåÉÓ¸ v”.‹È·RÎádQOäq x,Z¨Z <%ûï«äMHAl“ßy‚žf/[ˆŽ#­Ê¶ÀÝ<Ê0_Š®?ºž?ÚD/QÁðëØéGDÀeîb=ˆoE7×÷´`’B^qÇCdþ=övêÅEæ~ù‡>mÏŠŸ*ȶýÒáiÎr@bDCº#øaJŽT‘ »å¾,*`sÉCaM°ßꙎ5Eî$œS?HÕÒ(¶¶nñ»ŠØxe§ãR¹$¿×*€>?šr,ÒÑA:V %<ÍžÍMeéŒzI‹×<˜`3™!(&=>ïøÅV ÍJ¸ˆcªÑ“s~ó£¿É3I‚ÀÄö²ô+ÜéPÓ@¿÷«ˆˆá¶cSÃvß=EKgÜ>µq»Åך}$"• KˆÐëÌè Ì­´ÄWÊÌC Ì–ºo†…¸D¤/’KC-É/÷(“$þr©ˆ›œi©“mè¹ÖÁ¥ö{Þ^Oh»B¨i•#öÎbÚÔû¨6“?îçñÜf©3Às0¾sÀæïPûGûäýÒH9¥ÄÖ)€ˆØÇìagàѦ[Íl}ßÆ›:HñÞ¤…1A|쾚Nf(;3Â!Œ-³T&ùb¬ÒÔ<¹Ç¬¬–Ž—‰$a¬f‰´A„ZŠ±åÄÎ+yi3¥e(àþB¸¶˜a6KuÖ·‹Â³ïÁÓlO«dîL³Cuâ}Qòƒp½ôÅê--ìe˜i*ÁœF[Í´©>¸429_yâLO“<~ ’•%m3ŠÎOnã4{akkøÔJ(ü|vf‡¾JøŒ–æB* ¥]„”$h,’yü4šÛÏ´2] ¼W3 ¼³‡˜Q“ØæïD>RiLA•¹;´NÂó>tÄ=¤x[x¯ šrôÙR&÷yGø.H›2óü|»$]îT˜#K‚3®8º«FQ&³ÆW{£ù=>°.KáÆô¿¸ái×A`v0Á‡¨`0¢ èZÛæüÅ*ñl·œ^ií\† 8í%‹èJm áùES'•²’†e Iítºh˜»ë¨ ‡é!´»ÅÒÉU »ÙðÙâ¢î'Ÿ½çïRsŠ#¾Ÿ'¤fþdîMÍtÒ.Sžë'Ï MŸCiª:‘ŸN­p—(X¹À¤§ÇÁI‹¬P E¡n#”måf Ÿ¼ª‹BQ‚Yzk E[G–Q|tö·ÿø‡Þ:)Sü/PbBÜŠ§ ÖgD¼‘RC0ô5GOPÃý0u÷e?Sû- Ê+ÍiC©uú+úìÏK• †£î}Ô“‚‘ì rˆyîÈ5‹’ç ÛÕ5‰ÿzÑ¥?;1CCâ£ßUYj—¢“&µ\vŒ˜Èƒtbâø¹0w9;¬{À3çmD½ÌÇÍ#5‰Ù’¡÷±N”#ÐtéÜÒrJÖ0‰‘e_„¢=ØBëF È®JR7I&UÙ ukQã¸áêo´´CÔ¤þÓJÙæÄÐVS‰ðÉÙÖ©švRr=™ã•¾=Èu"ç.hÛ)ÆApzM‘Ý®n„I´/&öìX‹ãô3 íÝåÌ„Ék-]hÁDӪ㩽 Ú4Éò¡Sç‘H(Ÿ8ÎÜ_IðŽÆEd°ËG?¶' ”ÔŸ <[™¥/ Š‹“œ™ãÔ«p#_жCb÷¤*ÆõHŽš]¼À¢BçÍ@gs¡‘K•¤·ì%øák Ï\”)J¬Èàæ¼àÚ…Ÿ…CXÃ.ŠÊˆúªlçÕ½Èr^kŽÂ×ÅP>°ãs ´꘾HÚ²:oÃ/vL".¼á³O‡ÄÃÒ:¦)PujÒ¸Í W桪ÛP 1•ÀDÍ71ŽDÚÉÕišÈÂäݘ·»â(Uû¦£¾ÐùLwÂ6™Ñ-¦ø'OfŸ”³CerH?!D€‚„›¿Î>§úõÃ䣉șni…œ¾G’Mç(eZlÑ¿ÛÙÔ ¥Â!'땹K,¸$¯ð´òýç$Å @ŽÏ<׬í¤!Zµ ›xÛ²#Ú6û/„ˆ ì`™ðLÁQF=Òl+)ÊÿÞ…#•>÷A#ô·Ä²nÎBb„ØjL1Ê›ˆÚSëiaÌd}ñfx8Z„áÕ² ×§[×]‹ž%ÏEðÕ9ĵ–hñZPÔ丂³/°³VÜËsI …i!}SW£F¡¶ªÀŸêÕWÁOü|;¦)å %\Ý)ù¹K=æâ±æÙÖê÷2$Ó:s¡.°ÓQV©½Á,Ú àúB8‡XÖs ¹ñ·‰¶5MbõHŒçuñL˜§óá¹4ĶFôr¡û®Š#V£òµ‰e‡Èô–´Ã¤ð–?ÃÚk‚5ñbÚ°B¡†¡|$RÂ~4$Y…´øßqw 4Û¾Íi¾mh?ºÐ†pbažÌgA\¿êšRrÕ‘º/Â=i8NmpCðhÎYMÎÆÛv¨ÎlIÛœ†ŠƒØ®ƒÎÏ÷©m[’«u:d ¥é¤v–Y©åÇ V¶×$åÓ˜X/¢NˆÑ.!õïem÷Cp ˜˜fäÔ,Ê ,‹ nçìKøËwß}'“ññÚe‘@"•fªÒàJ0“g+t¬A:ÑÙŸÅyuIEÆé„èºQuÂw‰ÿ‰&.¢s ï ôFd!ÉD¤/fdÄ5è Ù˜kŽFë’3âtúæt6~¢Dx Üâ5ZNÉfЛ‚~Tÿ†{Φ{Èm«ùX¦›&T® afzi¬¸åªÊl®k“ ¾2ã=Vhï “¯8ž‰“­Z®Ý‘?ŒÉÍÜ ñ³ ÅqåP‡±ò”xÒ<—}rŽç®0ÓUGÞ)ÕY;Ó¾s¤×†|¼oAõ›é ™Q  ¤=ù}ó\ú¼xŠÏcðe´¨­ÓÛ¿Õz¯9ævÑæÝv´h¢P¨ép4Ã]Ä,Ì®´­8Ÿ5¥ª“kè$s·¥É¯óh+’ªâ®¦ÔÅùXÑÊj_ù–'áã1$€šA¨·æy4Ð#x›ŸIåD]ÇbSþ+DÅ·Kò!h52Øçü>ûO„À¿«O9.£’7@ð› °À6I¾B1Áõì8Û8úSqÔçyÙ]x¦ãA똦.3EÅ Ú—˜PÛ –R„• ©BÚaL™Ìé¦d„¶¿dÃ@ÙE_-ñK‚!µëØ£§Œã'%Qò6æ‰k|Ž› QÑph³9€3á.ö¬¹­8g¹®êÕCßÛ¦KËŒ„< yzÎSÀL ]±ÒS=ÔB/ñ=ª"–ñ¸ÌÔ¹@{µÒ<ƒýÀÕFk»~Cœ©ö%V–ªr>H7¸ÒÝ]Œy,›î¨1òz¤$OÊDÔØ_ô÷Z@R8v Â=TÒsãéy÷VÂéÚ^[ =vÔ£F¨»ÌüŒCMþò${Mû·®v¥yT’­vÚ}ö–'Pð BS¥Ûô!NœŒA9L5³B g‘Jü}~$npö*µk+_¢à2TÛ§uÓ‰˜ÌUZ»n-0µJÄiЀMÊÛ3†Xý2¦¼¹ÇƒŸŽæ]w²¶n=Ø:;«–Ø´ÈïT,|Z†˜€v¬}ù«}‘|vÕqºobsÓI‹¨í+¶’>"‡iŽ:»U%=ûŽì&’5ÉÝ@¦­õQÒ“]¯“¦ øGìk½¤¼`tšç¤OEhq|âù#1VóG|þ=â•ôó£hÙwºlo¹÷] —ľ±mÅeÈË?†œµQº9À¶±ÑÚ¹u˜!ÓE;‡7Ž8¡Àùƒ¡#«|sŸ]¨€ÚÜYsÝû4èt’ñH«Ž3"ÉDn!7y¬NêʼnìåÈ•ŸH|BDÁŠ’½À~;ˆ17˜ç0æ;§ Þ*n¨Y¬ÈùeK5leØŽD†Ó€ˆ¡ÓÑÁ¬öU$—j¬ÎÎ&ÂÌØöBï>C¸ÆzÊÚ"•îžÃ•¥lÒ¼Ô€[„E Õ[¾_¥góœqx"PÁæñC[öh¢ã²™m9•ã0]ʃ¼êÈoUŒÛä›"ÞoÓ1Ø©ãÓËÜõ¦®;ÂNR ìš'jTrÅÑ„?÷¦£°3ð©úRØŒžé‡¹¸&èÇ +Lë‚ã$Di2ë°‹gãÜ;ñR"­¦"‘©±¥§˜DûÏ®ZôEN¥gÐnª²žVƒfž¼~w#,gƒ$UÎõúI²:Juªƒ›þSÚñ_u-‡-Øb™¼O2¢Ztˆoe¶ÐO•F?Û²þÐœ¨wÞü9Ü#NÛž4uH[ P‚½’¤ŠœóÛ¿…eÔ €W¶Ï«ß¹k0ê¹þÈA—ð‰MÔŒ«¢vÜ0¡+pè¬èë¤Çס4¾¦v×"…fPu'×m—d,ïv/2¸¢jQt¡4$Ÿu„ô¿ žUlnÚ±ì|öüÛ?òò‰ðù|6„Ú©Ê í'Ý4¯¶ç çsˆïðûÀrž6è8ôú¥2¨_ľœus€ó/Êý>tñ_Õ97Hü¥>‹ Æ)å Þ45“ýê¶øaájÞ÷)÷QV¶l–*5ŠŸCÖvdþ90cyWw€Ã¤QaN13ÂOšºÎÒrŽ´ê› Èìç?+JvÑ€î–^œ½ çzÛŽyðFèð>¡ÿ!Ð$åĺõ—ȸ¡ ¸ªóOÜ…%C;î„õÄWTÙ¶ŠMý+ÁáGÜtTiøØÃÐ ßEbKÐSHúôhw€¼Fkͪ‹Ïä:#œÄÉw…>çv¬ég‘fô´Ž9}`¦CýßEæ0JR¼Î¤=ìÒ‘ƒ‚kk‹~—ys^Ô…/é$ÒÇy»[œ@X;lS.ûá?ÿSÜìTÅ ú0%ТaJÚC2üVNÂORÿ„;,QhU8¾PF#MíhdÄ–º¡6Ù  3ièr©8Zi¯Í^>júMàî„l‰ïÔ _\gÜ?¯t/°Þ5² Õ#_ˆ¢È¯¼Ò2sÀ?ŸÉÊ÷aÔv·—MB²ÄJ`¦¹ žêóv«ó‰¨Ð2ºp€× õì—‰ñˈïçOá"4;ç7ì`'Â÷laË•€my ¶’IÁãFàÓÇ «-}ó"¤Û±¸Ú’euŽúKû¹iP3H:¯ê.H7_Ÿ¤×qŽ@ŸéD~"ç*;1u2©Éw(mÃËA*Þ—\™L•´/»ö¸©“û OT5uçùUh£«¤»ðLëßVßDj5í¼ÒFpk©sbTð<C½¾ D?çý¸$î UvaÍ“žK“ŠY¹é·«÷f "ºC|òÕ–±xJiÿôd=A>8­~‘s#r&$¶HW›§[x¤yÐÑwèÖ­D÷U$V<¶»v@ ;Lð¾žv{q´¹¯®ehF˜3…£€;™½.ìiö²îœEþ ¶iYì~ËÙE Ã¼Ð2YæZì°Xúr®Ò DÀ¡ÍGPKó%' ïÙÁï ŸtOU8ˆâ#Ý , †“ÑØ¢;{e##n—‰+-ñ¹šEà€@e³›p§yjbc _óež7â!nú 1Š6yðÒ}‘7¢šJd”òHГjŸ¢‡¥Æê;ì±ÑyNÞ”éwD¢°˜ÚEú(ᲤXÖ…„óT²ùf©#Ë„$´žt’3à t„ð ¸Ò`Ýí}ˆÈµF/ CµUÆáK†þvtFµ`´RX˜þŒý*9_E‰0Ùø‰R·]a¨½êiÂP×>g7 ý$e¶5CYOHí ß<†>A`Sd>L–(¶Jsf‹ÄÛu7ôî"TèDûˆx£G°æa÷éà©´=­NKNž®wR&§ðE{à½À=¶¬x¸œk}|&á½]"¬ BÕ=‰º¯’s'rœiTó;vN'µ=‡N¸ÃŽƒvo½™t¥;n'ŒÎ¬»“0»þÊ{‘Ûž“'R¸%ølD*£ x|îз\¤Cƒd¶gã±ð¥:ê$ÂLßii6âè4ò ×é2<•{ÛÎú©ùÐÏB›|›v¦QÈ¢:ÿ7&Ú Xx®Ô.ÛM±Ö©HH迸áQ›¹…Õ´¥ÿÞÓOÌ™iK ™1—Ž?¦=e"®Ák.à.€P%§WU`šogï§Zö¬…5˜Zº%/Ê'®ßE6Þ„-®È)Ñ µå”B×ÀE1g:0SϦšcŒ„PÛ‘nj[1öºô ðfTÃŵ¤± ÑT >EK‡° zJ{ä8Y]§}””íQåK‹ç>«j]rSpö€Û–ˆ8žqhU2íYÞå‚ÇØ’§y‘ûø3p¦1?ëÏçõêöÛSUºÊ¿M9/ãz¾/r^Œ;/²×BÒµ­…­OQR¤"PDÆc©ÎŒš‘?c'B_ÂÛÑÄTæ|`¹ãÈž}œ‹Šñw#g ÒÃe·›’}tš„N‚–ÂXÇ’.‚&Äøåè™è2‹EUt™jZÜÉ ÷ú¹ÄÛ ±¨~QŠÒy+ž˜NßM©ÈËìÄŽ3ûy0€_õ”íÜî…Ì“mowþ“½–ùíMÞ¨ÓΨr¹ßÎAû©Ñê)“ÌŽz4H4"­;(GF¢¶?§ó% Žµï-aox’C¬ŽÙŸ¢ßôÒìÐä2B¯å‘œçDŠÎ3².%ʆê±ae_E2Ì“´tV2תjdy׋OJºßÛŠµÙ®ÐO¤ÍtúüÁQ¹ÀìØ|A'¤ÍÒ½{PRç²Üyì’¦ ~"ä ’HÉûù¦”BKv¥SÒHïÈŒGûMA~£ÊXÛÅOŒSFbÙHå4nu<)F*˜*„ÚÀ\£Ç*`‹­·mÔT 36o$±Ò¦¦Høàf*0JJ=µgÖT„,#œ-4¸ô*…æp›…*ŠÅB>CUm½MlŠª@—+>/žŸScŸ’Á»xæTãB‹J0IWDAéÒ)[0hm £èíÀØ5Õ.ðg™ñ’»‹‚6ôZ®bÇ€¿G,8GL³H0„ØàY¹']s°¹šqn+cšŒ„:TY¨©‰à9˜G('᥊vº¬xòK[ƒÓ³í¼tÚAˆÔZ‰äJÞ­yê{f±e–«ž#ª6^÷$…MÉàMƒ9 `ѲÂ3¥×,I2í§àÃG牑ž}SôUj•¤°yCJƒŽJZ¿žõsñ ž\Å8±uÊöõ¶ÝÁ=’%Ö:MþÐó ÛÄyÍÑÆ„XÁf¾tí¹Œá¤&M;¢J”¹LØtmؘ_ÇøÒ¯»t®ØÂhÈÒ`Ó^N‰Üv1ïræó%ÐG¬º¿…_ O»UÑàÞ©ÖJÆý´”ô9)‰áçòÈ-ƒeXÜÂŽhY´ý ‡Ù©¼¼ÅäÚ$¿˜õmˆÇCY.©Ñ.‹5Oñ¶¢ Öªç¼!…©‰ ó-¹ƒÐyË“é38WjW¤çµæwÖˆPTѪ¢lEêDŠ¡›Ð?e.¾¯­ÎôT´«üƒ æœeXI²Lh²èÚŒÇÒ7æÚ]L3E…álZ.ª³ZåxŽ&—CP¶˜ç‹i²ÎЖQ(@\%ÝÄÌjGK² WbHß½ëÉGt.Uì*Þ£m:ä¡àW}ÚÎÙë·õß1Ùm;ìsåLqö—ݨ¢Å7ŒùÞ×¹‘½+Öîk·˜ÈxGoÃ<Ä}”æ`3ì(nˆ\­½ÝT,+GÞ&iLîjŽ ƒ;yëX¯q½å½*U×íX%2T0­ÞåC”/º4†ÎÇ•;V=ÇB̤c¾½˜±‚Ζ‘ôìæüËÁ ¶t@ý,ÃŽëoË'Ù÷ßGü^>•'þõÚßΡýýZë~À4KÂ>¼0ç˽î{ br^%—²Ù¦’Î…f4R9‚ÚŒ‰èŒï;¤èjç1w(m°ä¢¾l+”~»Úܺâa QÍÉZ£ë¡çÑ€¡1X(Ïr™]²0nÝÉ^ù 7² ÕnS/‹ÇãÕÒk…žó¹­#̪£3æ’¸ðntÒÔÒÖ‹mï€Æ¤É.ƒ\A*&Ôƒ»Ñrù·˜Ñ²âH ûŠ£ ËKL‰^Ù Üjy3×M™‘²B²+AM…´ÒÌÍ0ÛÁ¿ÝUB¤NýG¢Y@IM&¡bǹpS hgõPq¿òl”£2Z)c&.{FH©Äë×DËF¥šJÜ–E®;:äp(Ãì5M™*܉¾Èâã9_=jH·ÈHâÐÇ$Á~h.bÖŠ2¿'bìÀ‚Žî*@`=" Épü]Y"µ4|‚&ûÉdBPkúœ‰^ŽÚ5EÂ5ýG¢óû²n|›Ú z3‰…Žc³°Áµû'blQ òk¶XÇsÄj Ï¡žÙ“4/ýVòƒ²ÑyÈ棡èël‘õU€ê]%’¡áQ9©i:µ›þ=€ò^qÂ*5,á„ŠY/Ôâ‰]a°"šŠ‡!™©2&÷¬bïÊèÄ äm%ÊŽjj²¼»¡ÖûHj³Hh t|'êtº|•ÿWá'¦3HÈÌD0µCÆ•·jiÙÛ V⊸^͉E_›~•Tܽ)Ù¿Ê\%sûÖ[tWb 'öX§††²ßä³…¶Â2 ‘žÓ˜DŠkO]Dw-»é@Ô´Á;–Ò4ô›£f¸ü'Mûa6G¿h> JEN‡œýω¤bp5JƒÂ¡¹Ê€µ5ä2€¢o_ì¥Ô@Ù\€˜N;äRŸñÄ‹yq פ©w}ž7í»Ð "eÌ s|iGYq¿–vÕÓD°| E˜êsH퓼œÍ#\ã}O|ƒ¤|w$Óö†ï@‚ -œ.ӃƳҶÃÄí–úØë(2æê"1áø,œªaŠÒW{‚/Q €vq|OÔ²f”º5‘ø«öIÐ’­Åùof€æ—Ñ’kíi[6I%í:æ—ÑÓè³ø£¶6à¾Û›£Žq¶l/*’ Ê››quà8[A$!ºN»í$¥ÀŒ ™žb+¯P¡s°ðõ¿d5)z“Z›}h‚„ø¤eLƨD“ ÉÖ¢ìoÌ»hÌÀ Êï®MtPÏ€lRåÜF—CË`×e·ûrY±–ÑÈëh{¹–•#’ó¤Ûñµ0ô­{âcƒ;‹UÔÑŸ6̹­EJ/­F”‰üþoâF5bûÊùsÐÄá@'õ’2˜ìz­‚чýåQ3ņú) ™odcØP ž~2Дf:DÒp|”©î³j*NpÚ#H¹7› …ËÒ4mm;´uMM²‚ÁNǘҡ FlF=ÝŒtN«›Žº>¹Å„8U$êbžS¥J_üZ—ð7•øÐhW—‹ÑpÀ£‹r/½ÉÌe‘ä¼#wÅf>û÷š´%;úûN‰»fFòù"ƒn¢ÄaM;&ég]TSk²aS„½ Ɇz͵tž«ž¶Ã8n Rb°½-o]´p©;ß©NáâFj%Lz¡•P) N<ŸÚþ\Ô\$á¢tDNŠ€iBZV®[õ—îfG>ÄAžwˆ xƹÄ; 1X«:÷<²9íäç‘¥cøF  ±ÕyÏ£Ú (Ž@X‘¶èÞ*ÍghÞWýðÔ‡žzÌ@ñÉxRS­}H>#fÑÞ¼¨ÅlhÇË$·¶Ó/#â¡q±§%ôÑÐéHEO[$2pbwæzÐ>—¯k™_¥LW—˜¶°zBBÞýšÁ…ËŽÕ*}`ËG×ÔeGÚ˜ È.8˜’H-”'4HI²È/SV#…¸'ÿ¡C®žÒ–…]ýÀÎ+ƒ€ô_G{Õ´°ŠET€‘\%ùvVíñk›m—MKÓ©°•W–:yqM᳌ßÏ;Úpl.¯áRþ胦9?Ä:T𮿲 (N2£›¹GáZç´æSû2qD T ò[8Çq–=öóÄçIñ¼¨U×ÔŒ ,$EŠïJKkêª9Îm¢FŒ(ü°Oë¦;}¸“kþLq9â·}íE®©4`ŠÖªbh›Àçq`Røá»Ï¡ ;ÓÖ ×ʶF"²"ÅÑÙfÁ Ÿñ7_xÞ.§KùL~¿­ÅåÁ]’=zÅÓÄ•‡)5;Ïý÷¥ï“è•v€8r9ùЩG2àI®[Qí_ó¬åáòŠu¬D…Ž„ÅùÍë¾Éá–Ñꈲ_9Hvºß¡F¤T„ñsÝ:NŒOq'šÌ#x’Œœ…D¬`Š‰ˆs9 mAÓœ…¸ã(cÇÅ‚$þ9 ¶ôë‚ts˜?(Úi£©»)B@ëundGEÈï¹Ä{‚Ø¨ÐUÏŸ&Z‘¢ë ƒT›ÙMÂXÚÑ®Pâga›wTÍB rvƒ•³½¶‹#ër†{§6{AbUˆñÃj¨¤<ŽÍú“a ¦ð4˜¸¬gÛ—+¨‹7­8LÕ’Ž¤JHLêìLí=ä)ie@ þ9šœ¥ëž†{Ð~J%my-+M—¿èBœ‡ÊVȈÛìµN³Z*¹I´d;~«•ÐK¢¢ß Ô}Žì„Mµ¼C=Ó&¨šQö²oÎÔÒ%9SL]¦vŸªNNpN‘Æ¢¤#G8õ¥M›+XÙhe3zPq~‹róðxæÀ“˜ªªnšs¹$$éÙ\5b›ô\Ú¥åßSkEªm¤@M{ð3šÖÎEÕTPßÍ 8š„vdKZ±’h3¹¢Ÿsµ«8-žñŸ©BêLÞüþß#|5“¶Õ0Nêûžf8‘c‘Š?v„Ó;ìäf¦Z‡ÎuO³¹­*›>lj0©‹É»â‰=鹈оéHûlèÛ.m%VöœÕƒâCté"@É?Ô‘9ÓÑ9°æ‰ƒBtæ4sæZ <{ÿ¶Î¾™öì Ã»ŠcÙ7•CÂV=¹2m¶E³3¨&·]¿€$Aß7yâ˜wóAÙ|Á÷ÚÜ]H«:;“hjÜáPõû¦NiG¹n‚Éñ!Ó¶Uß@¼¤ÿ.PÚÅ4pÄ2êèÓÓíwý7nÓI6&và^ŠTöyiGº²¨±R˜œãá#ÿ¢[×ß’À¡F3 KŽc_àä: Í·°‚/;Šô°‚0 Fbש˜VéÚŠ&†E¶dKc–Ì'rX®zŽ@Ïð7 &R÷dãhÿU T´9ûr99mŒÕÜD…Ô=߸TÝhR&7 ¤ÎÐzsB쎚ëäv“(0Ý „ìü¥•±ÁUîÞÖ¤îaw…<ªâ—–Jãýkí[m;Û˜`‚ìy5ðDM‹HjiY¤ùZH\ÚÏ•h×1úËЯ•ï]uh:œNÂùx©Ó¾Íî!ÙKfj©Fí–A’ä°E;oQNu:EAª;W~Ig•ÔñˆQ¨Bç5OF(T,m%hŠ,̱'â|$­¼a3e]]·*–þ*²==£ù é„žÏ#Ž%CVùj?ÊeG E&ÁïC_H yÚ8æŒø“È6;}¹>ÒéÙ±U6rŒz1y2x•+¾’m=Ù}Ò}¡&¶*Áêüµ´ß1 G0*ÞA ½ù¿û¶®ÓEK¤¸}ìÄœ¼pÅ. [áM:›Å‰ù«%»tªMÿ1¬Å;¹ñÙáÒ€h•‚œ~Ùr‹õ éJ9ÒFI¼úçt:¢ÁŒ*Ú¹K¥“…´¤Feñž·¶õ1BÿKÌYv  =î¿9 áYwéOxf湃ŸÏ(ná<þjSŸÍ âqÃgA~*áÍé£P ࿇֌kqŠ1·ÒI~Aš2󇪡9G¿m‡êžäý s bágA¦ƒô™8vKõ&rv¤jÀj?ŸØP©û˜5]­n¦‚/†Q¶"I‹"a†¢V3zœå´; Ž ^ôlC»E G‚ŒZ%©B¯[ßå“kg‹‰«µÅØBØÏßq¦‚}ÊQŸ¹Î”·ê ð7(÷¡«Žù©J~/A¦×@y OƒÑ9 "Á 8›\uVdñØ#`zì¨|&{‚Fo³eDÐ ¨t¥CàL… UG*´Ç0—oé`Œ€‹ ñVZç€ Û§£:OäHÈéŽÎvC®‰ äkŒYG>åìñÔc3MÙ˜Œ¶v8Þ=ókÇ|£ û1ûã €#q—Âi ÿ72t;Ê•€ßð$=çìC1/«¶µƪÊɦ¹ˆ,M˜¬©š×|S©Ö[Z͸LsÑýžgM¢Ç¥A}¡Ñ‚Ok‘ÍǵÃ8ÄsüšY©¢õ$ ~À8ŽJ¥s±Ä¨ jM%‘ëxþ¹q,æ5ßÌþ'ª?-­cqeZW•#¢‘n¸u&˜ˆ&æZ”/9V¥?ѾëÛ€¸FŽ©úßqÿ#mo¯w%„AÃQ3Š2b·ŒCQ«›Á”5¦Ä4¨Â‘ŽÉŠ2¬6+hR÷cE<†ž-ÆÇ ¤jβ…:‹—¬#(ݽþ «àì§1Š»Îrf ’~{Ôœ´ÏG_òãǨNtx¦¦†fŸÛežf[SD׆è"zacì4¿ôM¸,ñ”ä:šP´AîGµ¶“Ó<ä|L¤hÎ&¶É¤±èŒf¬x•UGéªSkrTko8α{(vÒ()ìÂщŠ±hik͵²“lxöDØ-NîºíŒ£§B°óUk$é‰ê–L ¦ËßÖÙ¸\×ÍU6‚YHÀßæhìuÜšÖ•¤R]`ÊÃî þoÅóâi)+„Ý$v݇uj³RÏD†&ˆm¡}韖6¾­4NϧÇ$Õ€õmÂz83S"C¾É¦%B(ëRD)"ÖkÚ,ÇU6=ﻎú;x½¦ õ%PÆ*$xuÛ+hÓ } ‚ͦ¢šNøcÓe|k]ç¨?‰ª…­¢S–>e ZÇÕÎ mQ¦€xk3Ý.ñ¥ÍpHã;wg a5×Ñü`‡Ùß}÷ÝŸãË|ÐC;h;ÑG$ñ‰´3RÑƶš“êÓ^î·Äj»ý‰þ^dÍ!“ &´hÌtòØýèuˆqŽNUԈњáví¨â$–óÁ qÍoyŽË¡Úš©³¸O^õ¼::@>|I|]`™tÊ`_qD¡^yŠÄ¸ê(½¤–“ŽU-LÑŽdg¢Ì^KuO@Šó)¤5û1.' È/S/°dJÎ&œë’†"äÚÅ©i7ðA©Í¿?²Bµ:MÓA–×@Ð:9x0ÜEÜÎNCˆ˜üWšK¬¯˜À«ôÉÙì/Pc9‡ÿy×D=HsQ)ù”V€ú ¾cUù”ö\”gÎÅYyŠhªDçoÞ †[꣕(´zíºo?v.®£ljs]ÒªNÇî‘Sdt¢mÖ@3Õ${FÊvÊ¿þí“œ6—ìNË9²PëErgy­QŒ¢5Ú?i =;ô• v9xd[•}1Ãá‹©÷’ÿÕ#ñð]ìöKž–Üz."ט@#Ò°9² N¢Î½êØxݵ·†(Ì&¦sOu HP5ILß ½Ý?m#«O@ÉT(‚Ž4Q¥ŒirÄdùÂi˜¦ŽÅfËÎFi¾æI2Èê<Úš£9Ì?„’ L ϡë–r<3ÔJÆF8*íI—íÇôï+ŽóJ…Ѻç)ºB9 Ò¸!<ŠãÄ_Fä‹_”tôÄUMMûÆ`Oa퀷à*}¿7¶–Nß‘(á‹L6hPø.~°]šåg­<Ç´nü£Þ·V–TZi‰$^ô…—ï<ª¿@šOòë‰þ±Í°“$íÈzÔ»ç$,Ò—;R'ÑiFàÙ9šLøßV:”G3íŠÂDSÞ.Ç¥ª¤‹/æ3¥€È=éO¿}5@‚m¥èd¯ðòDòOÞã²EéåÁìÇ.5Äù7¤Õ^Œ³=û±»ÀÝÙS§¯ÍU:ìé¦È¼™p†2E ]t&‘ èK=’ÉÈ„@Á›å Ö’e×­ ‰ßx7RxøQIŒ¶©VÒ¹—²cp69>ÿ3¤‹L k¥ÓtÏË8Fck‡òéÜóž Ù”y†h1eÀ¦uTvNuy"nC½œ‘¼?/Ïãhz§G6Ãq'YîỔͤD… ëšü cK¤H8zç#Z2³\;;ˆÑ‹ß$DTå,¤riÐý™‰N¿¶ç{:öÊøˆ·£Âå¬o‡F-ñؼœÔ}ÅÈ̪ÆÔ^ÜÛÚç¢k…Œ²bj‘ ä¨ÂÂtË‘vTM«ð$Ɖú‹p i B}ê RP$zfÆ6½¸ Á¾âH/h¾|’r;R;”1,³´ûëX&Þ?/ÛÙÊþý?þãob´aÂçÐìÎ)ìlûf3Z" æp: D)×5ÉÝW¦à`ÌéÉ]¦8çZ܈ý% M5f¤-¡ GRK€0—<­úD{­motƒÉÜ'ãšÖ¹:|Ku±Àqoú*pB½'ŽÄg;zà{ÁT¬Qv‡¡}STWôà€d!žšícno¾8mó1ù'n`¦ÖpÕ*aü3Ì+Ž¹±=V… ìÆWÆð×9!©Õ–÷uOÁ"é`¤]u¬A©Â<ºáHÁ×FØ:ÖZ:×¢”‹‚»Ê „=•ü߸íÂqÏTâ”»ëˆmÔrºÓ$ß„MÊÀ€æFš»ø/´«+-Áâ"_©ï„Ùœôb ¤RÿCËÝFžÊ0Ú+Z:Š/h`óUuRÊä^èô)ç­Ú2ºOv¿æ[:ß ¿÷¹ºÚî$$e‹¤]C:Ç0Eܻ̗™*ÖìÁdíÇè`#ü+Ô‡ŽêLÀ/âø† 0€µ°ز ]‡Ú=7‰Ž„Tº¾w´B=+umzÏ”bèâÇôÜËd1Ì8"˜Ø—êÜÖªkµP¢–É3@+Îú%â<¶Tm4À×G‹YßØyµ ·VÍ/ÛçEùõèk¹ô•+å<ÆQ®Dá É@x_Ø•"‹§w.òÈÌ%’»d ‰àK0Ha@'Š4¹r’ªþï‡NOq– 9à £µEqqQ¨BQPs^EÉlQ &$íE„v.])4¹hß/ž2€ \ÍÆôÅPn£‰}QX3¥YZ#IC‘°"­›%ìÇ+`™y#QIºzv[EY‰Øípé¥Ê×0ŠV)¢µU†š^ôz´ìfÞâTÈŽÍ ´ó…«0žW;¶ýD Ñ•£ÅÙbD[RÝç¿vtFïp¼PyÈ>ºZ®2Ú8§°8UÌO¿@¼Ñ¨}¿KÔ¢mj*¹³à_¸t68ÓUnN5=Î[ËÿyeË¡¹:,²ÁmkF`€AzÒÑ’ËíFâY®§œðzË©`¢ÏÄ:“·}z€ž]àÑÇuVÛ¨ÖÑ•ª… ·JÄfª²j®hdĶwÖHsàÙ©–6 h4ø1£®Çë݇X„“éFd,à€m£°  —z;ÛÌÃ~ÛÛPQX¼ÙÛ Ÿ ƒAg¯´pY­ö¿{üþñÎã_>~ûøy;£z›l¶z·"/šê48Äz›{8ñÛ‘émÆ“æËÞæ¡þˆ ^W¸›UCÀýt„€øª÷„}€€¶ƒ í¬@/Î^Vª/ãÞ“­'û¨:†J<ÉAØ{òö ]8…Q(»Ú{rø©ò±tó H[Ôùˆ.Ó qÚ½'?>áì ;³4Ò­ð ÷Cö—Íݧœ®Mƒ¶5@];)_ìí°/Ã7Ó{ÞÖb¾Ô{ñßÙ÷ßÿ¥غÓ;„K¹,9®Â¸Êíƒàï©l×o÷í–OH=šç¦†g§°mÖéõžÚÈø+΂)úˆC³ŠÔ[3Êþ¨lB¨Ì-êñ8›œ¨a6l2:벉Úâ6ègÙ¸1ytÇÿ¶§ÂR¸K—gm¼c˱#1Ðþ+bWY­æJ!š.M0sÞ²Oúdð&£Y €è˜&.]Ç@ajNŠ›ÙJI"0úæCе/÷h*ýGÀdÝ3ṩ\g#˜JÝÕÌ*êÄ;È,Õ’ Ó_L¸Ñ2èX(%´,èÖCjÚvµü™¤¾jL€ÂÇÍüàFÖ• CL¾)b|Ð%÷“àнܶ[Bæ >B™íNðp€·,…~$tL'¤ó×Ù ž÷xœñþ?vRj.yXØf0Ñ“à£.Í/ü!áðC{¢ª˜ÙÿÇíU°#šjZs´Õ.çm›â,ÛÖ Ê²wæ+ÔŠø Ûw×<å…šÏq$@ë‡N«D๦™6è« “(œÇ=›tgFÛŸŠ©ùDZ„I…šŠœK¢Ï#(M.Ý׌O0Sá8¢•«ÇÍtl² É?*'©u¡C 1§VW } båón+¯¬âƒ;²ž“UY™ †ãUt§)Z#Tæl‚Pˆü˜ÎøiÆ©–ö/˜@BöH ¢¦Vòáà¸Å„0Mt'\§×zÎ)ϲc—ö,9v«¥¡¤áTê0­×[«5ò ^ž«Ø‘`J=l‰¸–aÈ.·ž;mŸ#R„N¹ÀÉÛhCYm¹iýs÷àˆÝC3¨O(ùk—þ†Sº3¿V[î.²Wƒ‚y­%¿Ð3àVKÛWã¹I‘®®·¼cB«îj¾OÜhyüZÉÀáZHÛM‹î1…:Hèñ(Ž¬S€y&Êë5OY.¾y•9½ŽÔ’’5&”ã´–{¦žþ¨–>a‹l_D(0­õ&«á°sqÏ!•`.nΩ+2€º¤• œg÷pkv¦Ò24£xØ1Þotb*[ »ÑŒÄ«">ÃŒd‡3ÒâN±Í·ö.ºüì1’ ’—†v¶˜N€kÏ&S5öl<üp»è<–´M¹®*yÜ%ÏïN* ëiv—ÄÉ=£ ñA§Öÿ™¥ùÃe·Bð<ˆg“b!çÜÜ ¬lÚ¹ØC‘—•š!â•|mZ½Ž¾q1…oІ›¶pÑ¡É9„"FaÑÐÐx—l ÓÙG£l4|­1¯B± ¡"^ŒºŽ*1JþRKE×ÂFWŒ#ÜUß‚ü…ÀÁä_äA©¿é›Ø‹Iœ‹áBx«±´»Å…‘4®q#ûe掸£m+a u˜øaЯKùàæT¹mbˆ×uG} GIˆ…»éˆo€Í^tN0Ü«„LkGÄ /B{¿»Ž 4ƒCzb}R¡öZðXüαGšvœ§@G !]Ì°š¨¸~ãºÒ´¬›3WE–>ëÔ~PP«PÉV¬GêùÊï ðè椷—ãW PðÑ@9"¹²õ¿YòñùÓ4í9Ck²0Y­êæž&³öpÌ/·À§ª}ppân=Í6^çf–ýHÛ,)ç¹=ÙüA¸Äˆ¿„ÓÌÔ¶JAÈ5`ª0s]c¾’áçÜéýüÉû#y-{²€›}ö‹Û V ”¿Ã(iÕìÓÌUÇìJ@XK….PIÜK”üMö¡¢ªL¶ ‘w‹XW‹”y’üj6èÑN…úX˜F#=‹ÕN±Ð1Tg‡™/:2"°D9½ûŽB;ìØU¶Ý|¬õ¤v~ò?¦ÖM¢œc_Á`Ãbô,Ùáj£Jåb:z­GHGÕú$Q»~Ó‹IDô'Âk±Ì怡­µC۟Л áf®'$Ô 5g>‚mðh0)P¥ªÌµIÌôÞ\ç.ZõpAa$ø©FŽðMÒ3¶sbIR0Ý$+ÕÙdHU_Ÿe}; é‚ÐOn¶%†6:Ú¿tK»@Ì]²$É%¥,'}ÝwJ3u± —z.í]=á]º8áhŠˆâ}1ò¾pK”êTA™L&Q6¦Q =‰CÊãhC˜XËð8 T³"•Œ³íAä8ëP‘A&-‚R#îÛNL?Eë¿Ì,A Í©©pä^p2ë¹­U×ʶPw+ZZ¯y²¬;ÏÓŽ&˜k.Ü®#ð2¿g§ 1Û™ö¾˜ÑžyÕSEFúš'qø†•Š·=‡VÁ;ìiŠ¨]¯Gæ‘6ƒ:ѯZ§Æ:Ïœ˜"c«%u=¨1`øQ»ªµW£ÆÝÔÄ€È暑qíùÉÜO]mŠ, “ª«$aú4ûc>4FÊLCù"ÔáÄ›š±%L5ŽÞ„o4U|ÑwBiÇg/¤ ý `V“Ô·;äi=2E”ö-P-Ã(TPŸ!åëLΦ¹ô –±v¨p`·Ô¤Îæ]Ðô“Uj^6cdÏbÖm(1qÓcµÉëLášµ‘x³Çy`¸Õž *cŒÚf²v :Ÿ¨l¡Ç$Ù©i ,ÆötÆAÆWæ QòÚ]Ëw?KÞZÙ³j â;®{ê)&£"Ð…YÏ-ã¬d/‹˜Þ°êyû4›ûKä^išÙ|Ò½ «„@'Š`Ÿw S&M ~Ðá"y5Oâ,ZêÁÞO™Úúp¹‡ÆK ‡¢ˆz§ ‚ d´û¶¤‹eA»÷x£í–5™R|¯ÛvGazë¾ óÔ(ÐݧÜ]̪èÞàh¢7̼.?W'‰S±{}(ö"ôËÛct§Åª×|'¯nÅ™Ör?}|}»ô2Îj¾3Á×G%Úô#>þô÷=åoKâ@¥ŒþÍéÉÆFCÊ3 ed¨ ç¸ÂAäHÓNY &ˆ/«D $ݵBa¡…VÒZ‘"E’ÄHd¡-¬"¹²¥6}m–È•Œc I]U8tý11Ïîõ\lM‰šUí”%«ˆ_˨¯0î"‘30vT] *´ð#xγSK¨Á®Ä­è%òëIdÆGx/ñyŒý”ñÀ1ØŽƒ§fœR ¢Ðz#öàÔùGòÝÅ2¬j®ÀŽÄY—–Ts`°ÒAϲ‹L +嚧⻒ƒdk#@–i$ëÜ¢ØÔL§ªŠÁ¾4’S`ÂèEÂ…kkÏm]q-R"Û9rÇQôðSFÛ0µƒˆ3K2Q“$5Ð CRKLô²,-¬_6ÒJë2È[Ÿ£)Þ¥!ye„JŽÎ«EH±€½ÑD7룄ÈÚènù„h¿¿3"’°ÓœÆ¡<¡án>ƒ›á„dI|þÒ5IM/5W¤ÕTMö-0ƒ«^EA§sò‘é•NÍ<˜œhÞœ¢DŸ™›ºÓí#ÿâxTÙëìû¿ýÇw™† !_Ä ï—Á-†1U…^á£ù…¿/ààZ‰ÏM­ÝRÈW˜”`D0å¡üЗ’niô÷*Ó@’½VFÚ·>:%’MïCRÙ›'[OÚY3Ë^çÂÔö1ÄgÝGã1×€„?-c0„²4C±¡‚%‹AuÕÊ7Ýì5åÉBö6 ݯM˜ Ùwh„m#ÐÉ®"Òoû1žhÕ‘øܪca Ú êù-lY°5¿´güv˱ilj’Fæ9MÇ°·Üv¼³‰&m¾ ™ÎOO² Y6SCÓUÐãé‚gt 9د;˜DŒ¼k½ÁDYFKŽ€+˜©Þ\h¶„7Ll³Ybäâ \zš½›1^ )/é½@ÜÃF‰¾0Qÿq†F.øLÒÍŸÂRÀj¯¢Iï73ö.¬ýÔ©¸jÒÙfs $¼R‰Ä›=½¡rÔaÎU33yHcºÑ#Ež•#Ÿé^O«Î ^$ÈÐÃRåUØmöœ¶Æá,θ–¾ß›Â,ý¢gF#Ê]|Îåš>kx4DضÝQ˯ûO,)ýëÄkž˜†E¥e£nq›]eõ„Z,w$¶O€·äâfŒónߦ‡Ý$À·íO]dDv`<ÊôØ„-6$2gÏUÅ7†b”’G+¹ó­­³g…mBêöuÇC龈ƒu#Q;´nª%:ŸéM!.Ru³Y.3±Œ 3F‘6i ºWbÙË—>íÆ)~ƒxgÏÄø³?)¿7ú±²—†#Í-íƒÊªî«¦uñ«öšy¬¨®ß;5ÅÒþÇÎúуùÀ“K¥ô®a\˜yLæ\‹=,[½bíâTåPFw ¾|E’ÜkÕÿ+¡¢UZ产Ñt:‹˜x=½Äi7¡ žýýéwßeêɬI0˜œiÝÝ —ƒiõœUMQê"zîZ—„ašqâŒ:’_ûšþ/„¥^O§"zCOi‡ŽëŸ6”\»LïE|T"Ù(G¹¦ÉúF2áôZ“ØUéY³q¬q©F\¦ó³p031À´øö|âJ,¥a3ÄCªu´¨´„T$j-–ožÓ):.±[L{âÚ_5ñ8?Þ>—¸;» “x9BŸMٹѾ–°Z÷BTbüþi[Ðï?Å 3”q¥óÄð¡4Ç E3ˆôî³ì• رQY]`ߎŽéDÅm¶ó¡`bwbKiçÿ÷qVƦž´AéOI<¶€^?Ò9”ÑhöI~Â,Ëc¾Éqš ýÐ>Éãau±ÚÂÖ/hœVêî(æ&³ß’þnóp,_mé1‚3ˆÄðJÛ™ˆù¢uE:ñ•K€Î$|Òôœ Oüm/B»ÓÖ9ò0Æ£&ùžÖÉÙÔä¨á t‹YX‡1ªx5•ùGz6ïLûÙœ†>€O\d‚<¬¹Ùµ‰&]|÷@C­;ÚÒPÉd'¼‡ùÄöWuJË9×!‚`ô„o:iÜç‰vcT0óî3#j€Ýj;äù©UI}°o<ψŠÙ&®ÛìûüðÏÂyì{z° »Ä`øÚ8ÑטQ*Â&‘8Q˜“3 Ì¢C-Ò4+RÍ0MÚæqR$5²áFS<Œ&\Jkž«³sRJNû;$¶ÛfDÛp%¸ë‘›Ûf^%^*Çj˜#wƒÔO<I¬î+`×Ò!x5Rb¬HR¦f)S1ZÂÒ lèÐnÆ!‹ÄñbùOzxÒ«EŠŽDg|Å ž2cþÛ¡‘Ù÷ßAСíîh¢r¤n' e·ÈÞjR9iø <›Qr„<ûÔÿò”dã â€x­õµ->ê²ß‡—vW%ÉÿçSûÛ9O7›¸.š¼«×üǧ®ò÷¥«ÕZ%ç'è¿r|ž#j=Éé\ñW3×ÀDA$J´§ÂÕGý¹“â¬H:µ‰•yzìRä;öq†é÷ë8ûŠÖ{à<gß *½Š´“ŒwDÁ˯>чŽBÚ:ÛçZG¯·¶¤Ï¿Wê!Ž£6èj,’µ¡‰TïõHæ±xK_«;–ƒŠU± YKAaåÜY~Hë ®€yì@‰ãõ®3•Ä] ?L„J5¹R<èæ?a·xƒ¢¹Ý/Mû3i’Ù¢)Iþҹ؈aÇFj+.¡7.“'b(;Š×<•}âÞœoíJP¼V¢5Ïr9œÿÕ¹ü¾.q¾õÔ6U$BÐeȤ5‰qçFÛ›DÑ4jÊÑÿÙ­B¿ê#k“–Ÿ¥Ô_Ëš§ê¢ÄŠ8|¶œg/Êü꥔×}Ÿ9j§Örôˆxb"?‘iXƒt†Ò—C¢uÙrq/t?Œã%4…«ê ´WŽ Z¸}„–òàÆëÒ!Œê̓˜j}‘©ØæKß̦°“OMí3…7k‰{m'd#ó Û̦Öôø̧éúÁˆ«ãC …Æù=gsÑß“!)WR“ioe]Áõ@‡u‘¤RIu;“&æ+žx¨?5ÒdÆTg!û©‘ó¢6'Ij12Õĸ l„ÕŠ+1rƒ_ô«Ovš!8LŒßR¯·¦ýFä—jÚèb™^Ë{|ÃJ†@ùbÈÞb‘ÃX ’Ž~R6—ã„v<ÀN"ÐÀ?3Ð'ç%¾r-Ï äoœhZIð©’˜õ833”´$itè²lÛTÐÄÅ““$ô4 ͧ35·"MÏõ\ˆÀó9),D=/ O%E[z¨Ÿ€CºÊxOd€¤çø2ÉŸª(ä‚÷æ>(ÚÐØGhØŒöÉìuA¢ÏJT„ÉU¿L£ò˜e³íø<´ôŸÓ‡&‘„ä™@9gŸÃ/ì.®€¬¼ wê›ï* HÂ<’Ûñ¢£WÓž¡~EkÕµ °$3– 7–§P9ã$/aŽ¹"pDDLùJ¤åor5Pw&6ÚÝïD2ÀÙÍ€Ž¥°$㥞 hqAéf7#ÅbˆE¼s'ض%§x‚ñ:ûªã1o‡M8õâ¼?ÚZºÂ¤‚PzËèœFLä%ÍœZ²-½»ÑMûèa×D7È>{LÂaqCô”¡S«‘~ή-êú8r0¬wÛ7Úv[wCÌx•Û Ë}%ò¾ˆÃn ª¨R`W˜Õ‘FËÂÔgDkw{Ïù¼'7¹‘=«\¨€ôž2ã­(ê(ý¥_j¹"Pšw"V-òdS ì¸0ÝÞìF>Œñãß8rÍìiöln*;4ÞC¢’Â.×¹'ŠA©q#×<)¥&ø!¯2áLî,×)¡ÝîqÉÈÚ~‡®`¤`®qZöÿm­šZDœdî‹Ç>žÏœ‘ºô:[Öc?—:â¥gÑdÒjhËÔCL]$E¥n8b¹‰àÐAbáäì5©¦÷œ-äRØ4ÅYíXKÛaÜ(®»²EcY£–¸gÊXñš'rIWùÁ-‹¹J,׶«{[šô¶4š[ƒn?Y¨^Òl®§#* ÙšÖ='¼.¦²r!«°tZ>N.¨]Ý$Û‘B®&M!²øï¥=z4Ý™˜_d[ùyo- ÃJ䈴 Iª·"Õ%â‰Êéw=oøÅYJz,Ó˜ýˆ„{ÈòH•p9/ ŠŠu¬Ð{Õý Y"ù9è Gå.já|~”>›S5úªì«²cŒìÙ'x?q5WQô7þ†Ë½ÊäJ tÔ>OÕÅ#ju%0’-È–í†Éýô$"Ú©ß!ª®Ò·”¨\¯g…¢uóN«z¬uòhg*Ë›BnϸߙÍì€Ng+Æc¥C‘wCg„)l-ÂÏè„«Œ°ðU¤´Mí™8 ZJp+IÚ_ΡýG|×Ê–Ö‡Ò!U)€6H|}&ä÷؉tцc D*`)ýþúù;Ø«³¹²1¢‚ñ:¼õo{2ˆ müíß³N9™_ì°Òãœu•–3Ä=„H  Ë¡A¤0ºeˆ¶þ†´7iö¯Vmò‡d›¤žs\BÑ•Êi¬ßã—G$-‰e½%:P®¤’¥ëÿåúÖj6£#æÆ ´¨ÊŠSÊÊšC,÷aó5H†¶àÑyóA(t !A-¾ „åxÄàxùU¾N'Ö LDÈŒ4ZâL~‘öW ]Æ.á(©¶Ÿàñ†Êב.&8kÕ¼™Ñ06fo†žÕSZº˜Êæ.,£‰žOt9ìX~O‹Bm´6…1ô‚ tTFÛ­˜ž5ô[—­äŠ¾:âå–ØÎÙ,øÕ ^EÇØ+àCve*†tyýÞý¾î×Z.g7µ…Ÿ³ª-¢#–zÓLc‡Ygw")©®JÝ×âV_(Q-š^¥®å “˜ÑŒ4céˆDõ…'OÕŒÓ(QªR(© ßö]P õ°aÌ®HÏffå‘B9ð¶}»Gž7@E9úNZ"i*ÚIø!ráìÈlnù—™k‚ùJÓ>p\×Ècû±èðÀ‚«n0]ÀÖ&g'çB%ÜötÄ>£{!+ï­ fZ“ïšãŒ¹Ô|òlž–”j!,0N9]ø4¼ ¹¬á þýéO4Ÿ6ߊÜ8„Eýý;Nº´˜xä:ÛnJl¹ÙaĘ;È©AdH¨“ô=­óô5#¯7ù'Me\L‚˜˜9ª«U"ÙÕñ }úÃgÃ>ob°þ}ׂä®ZÄzPXk…;ìÒ¡I`¬ó©;ª^îºs·n2õÙB;âhºH{HþÉŽh¥œéä}÷lY-j¼¯ç42KGÏ]Œƒ^‘xq˜Ü3r*ë:ÈCO>§+ïÚ¦vñU¦¿PÈp15ëž<39â}䃹Ùðš Œmç|Ù×ÆÕ-’?»Ìq–ßgS>ÐÓîu˜É¯rhlòdÌ¡/ø Öj²|äAÛë^ß­Òðæ“ ²m›×É“í»äU8nø€OFŸÃí9Swß 9·‚Æ ŠÊ>8r¿¹)x‹øvW#ãQòèïhÖž7Ô$õx­äK¹ypD+ÁÕ«“¿rcäsð+KY0«*‚{ÎÖ7/n±Þ2¼+w[Æ|3‹³=ŽÆ<¯£c—Þµ+›9±â…ïŠûù)±ïÀy_ ÎÝW:lGˆC¤&@Ùf â—ê½$OÎ3“Q(ªèûlYXÐäÙûrœ<ÑFžÓ‹z|Ç(’N¸´àÖPÿÔÄÜý-™~s(¾üOçJðˆ¹*~{ÁàYºëÉ-™vT×Cí¾$-(:ò¯š6¶½ ·D1¾ÛžœÜ8¦ÀÇè_ž×¡ ¸xÍwBºx¬¯áhû  p.q-wUCã&tšÀÙ‹Qæâ"ûªûò Pxq…ƒ&T+Ôc™áî¨üí²MÌØ T((­–v]Ž'‹ì% 1£ZDº®{&K^³‘‹j£ ¶LýKŒ/ãX…âçœõYªš™"‰}ŒØFÚœŒŒDü-±Oã ³UjÇÎI6ñ殪·2á~7˜QÆ ìsè ——¨6*SsTÌTëeÊ%¹œ±ç†Eé—qÔ´)}ý·}Ã…´Åí §Dâ›Ê„n¦¿;-`VPSL?hÊ9Ÿâ'ˆ•Ï¢÷[Ù·ÙÛDÉïAOSá,™>u00¬³¼EÈò·Ä%f‹\ @íÉŸƒñÿ©¡²·$C~/žcNè‹h•ƒïÔ´¡i•qþqf d=M5ª¶‡dè-¦Šä„eDwãC¾ÀX»Üe:d`äÄ>~¬ÃI÷ïè3„wÌ”…F~$w0ð6™¦zÙ)ê%šàh[ó?SN 86a>õdüæXël!#Åò9äþ.ØÉ‘¯º¹Ûðýö £ð®§Ù µ¨êÜm°K^[4õI|[0÷ò®Êy32;Ū‰Qªù‚áâçbJAhè¶p^ŠAH†û™ê/Îç¤2–ä¼µ†o ;´ÊhŽû9Þž*-'qÙ^u]^¢òUzEú—žÏnòÿ‰¡Ç¾h-®á9EX£ˆp8Ÿ¡D“ ,kðÃC‚ÂlˆK~ÈGè)âW;u³îtØ?’âÑÅîw¸ Pe5ùñÝRX}ÐrYSܶ·ß”\ø½ƒ'Aá˦ i‡ß¶\Ú)Z„|WÍUź ù_‰Þ¨ˆJú”ß"µÙܽX1äJLû,œÎ®LäÛ\zú¥¦íÞë]‘/¸ç+hÐ祙E­àaÛ •&ÜÝ.ó~¬'ôèS}””#næ¯îÞЗÀ .°‡´ ðkî@ÿÓl«@å½A]rvé»á‚ö•öÉܪÈ6l뻉³Xˆc¨Õ0æ_MÐ}[ ï­;Òó\Íp‚Kß›ñ{Å ªtŒ–§ÀÕ–±6× ûfÛ*Þ°q™Û&#åËèaqÐFgl’' §áX kOÂÜäµ Ùs‡Æ\ýÝ è'z¸´ƒÜÞ@üÒB¾ ú‚¤_˜YvS«ªE"|`¿dÕC £§ïãFÍ@·©}ÖþË£Þ³CRúý`­¸—öPÈO–«ô ϧ7d r[/¬ƒ/¡i¡ mÚ[u ©û½ül‘ ßW# ‰¯Ø€ŒÌur0°µîŠã”ê4Oú"æ›ÃýE¡Ñ/ÇÐ7p‰ü,®ðŒB¿Û“w-b§©}L¢Íd«X Q'f†ßè‰ü ë:³žAé´÷r}ʶÓ;96@Ù`ÔTBlWÐÝÈÚçê5´?"êïì=¤ÓÄ[Þî°_§Ñ<ÌÔÀj†ÿ”¤,è0tÀºélÅwí¬/-¢‘CÇ\Äk¹%9µ/JòX¹ÙÖ® OÌÒÏÇÅÅ+Sƒ¾líÐ?  þÒà"î€ïÑž»¦(ÒN·]'¿øÞ:Ý£õmÞrLèÔj‚Åz#Rw-–ü®.íqŒpo;ÜèÒüSÔG…¡7?ˆ6îËži"èö‚$;NÈUÇëB\ˆXÒE!íø†ÍÆ.fWK~^~ÿ8&¶€É€,ËþžmfHs«XffÒ™0 å°›z{ÏSÍÌe+!ÿ¢)‡Ò1 þžqøl2}³9î;6ÖY@›¢~®„ÝE*=ñ ×iLs`Ÿn÷ž‚„t‹©ˆ!$š¼»Ý–CÝrÎMì€F=¸3œÃ)½Ô±Ê§º“ªá hkK`Ù”U- ,HÌ¢î.WÖZ |¤íoÛ¶D/+—Dîw.v'œX×Coä ‹Ùêˆ/H®°4⼘R?¡mñ5KcËÜË­ý$óyÓÁOXgæ‚ý·¥´{2e‰Õ¦øbÓHÌÿè;p7†Gvp;Ïs]`{o‚)óŽë¿ù*TVK­®Äÿ£Á—<|•§Ôb\.„‡|•©Ûvá%Ig`ÚJâá:*=_냒ûØ fcXpzmI¿èNÈä\ ”èðp 7òMæÐàÔ“EïnSHúÄÈÿ"‘ ™Á'{I¥ w-®²Mò·ÖÃä±=uîÝi}y}Ĺ~H®GÜ]Ž¸j×[ú3L*3žö¡I4*\iy¡ éµ–"Œ“+-í52e%ñ’͹[£‘2Bå 1p 9šäe\õÍdpØ ë™Èn¿›r\ZztUÝ;-Êiý¿~AZ‹©]$Øža$~@Íñþ¡´är òŒ¾iÕ}:sô\¨k>Ndžû¨¥³ª¿«gv@{¸;x˜Ù½€¢éõA ¦ÝT<¬ÿ«ÛËd« À»’¾K›ÿæ»MZgÝqï®®–ÌÃdE\fÆ›x„Ý „s<Ê42NˆQß‹Îú[}Z%Ýeõ˜* µðV (R&M?züàò‘;nº#Þ`§iõ¸L;(íU]y™ÁK>+†%z00Y²žÝRCI×Ök&ÿ_dz›^h¥/ÂF†§H©å oÅÒD©uå[C|)`Õ¶•<Ÿ*ÖJòïÓYy„rÂh$%C\6£ÑD韪G wI¨N®ê¸é÷t{ŸþØ Yò+XîÞ#DÜUBÙŠÊCÏ,HÕäÜoïFA|g¬Œ…>Çíç„›ð.Øá%àe›ô®ÎFl-ZFÛÒéÌL¿êñŠO³—¥é·_Å.|6z˜zú`§¶œ¦3VîJŽ!NìJÀ«W“ÎËŸhÅ\Dõ!P”¶«Q:æL³…1ýd­™ùu L¾ÑrØä^Ôú:I7ê{÷Ê—€–¦™méÍ®¾÷KZ¿íbÿÂ÷°¦%=ö–ì3® ãL‰=Ô]·?·Q}U:X\×9wÒñèö¿Ò’Ãvu/RÚ)éÔŠã“ùºbØ r9–Íó$rDVÒGuWÒw‘šXýó¶žÀÎÛs·5ˆLû’‹ªFºŽòXlÍLo ÷‘dŠØí–·€0C NÔ ü0¿P3†ã=\èttpBû*?!£Å?ºó'0óU“‡’íùÄJg¦)–•`nqæs›þò5—Õr áò¬qgÏje^½4uZŽ Òôƒ„ñ¼¦†—àÜŸ˜qgc±ou˜¥À4¿“òšÔ\´žp{§¦”Z`Ûü¤»]V9\zu¤%JËí'_F†+óîeJÕ1wr'«ŠôIn´ HX"^¥.‹«¾P˜xÅ`‘D#>eXœà±0#'òZä! d’Dh ð ¶}`&Ëí%Ÿ!Ñ“uÀbÚyýp2täƒÿ1f½ù\פÄè2ÍAöûnƒä¨Á”½réè½+çpŒ¾¦ QýMÅé†}?š]ýæ{DjŽõ…U'¾ÏñaÐsç~º÷º$žªK„½=& ;âDMõ¦Ú|£ÇÎë`Eˆ\ûëÄuþ !brå9{“„s ŠÛvÑYKŽ.#Àî/1'zýXÉbmÕv4`€·¼wîÅïÅÀ–Ÿ%Ç®‹HàñWöÓÒ?«m—2IU½ȨÛ`W‚˜â¦Í;«ß¿{%g mg¢ùÉò£±9TŸä«zàX•Èê<Š ð_âœ7€?[É0Æc bíY›WçÐÓC-}ÒݹÜÄ|¡DñG‡dЙ“8ê¢õ~==h¶s‹„óéHUu:º­$umžÓ‚ëÔutñÃÐõáÿ¾C†l~@[ûÌ©è{°u„sêûþ¼æª%8xžÜ^‹}G¤ýHú¾ÿ[—täX;MßÖ;ôdš²ç°G’ B†?‰jWu<6wlY°!ÀÚÝêápœc (þaÂ@¶Ã³ò°À¨¢œÍ„j•Ç•@ãø‡@õ™Òy “Xq¬O)kïb¸Ì¨Fµ®Ä#þè­ÉñBQ6C1^n‘È­m¯ÎzùÚ³~î‹K øÆ„Ñ+8'?«eÀòAZ9JÄZxŽgt+Ï»’ŒgÂ07™"—K—ŸhßmÛÙ&Æåb–¢ã²cQ4š Ó(XâsrX¼ ÒRs¯eì/`•¥}Ž\ìäu}—\Ãá&~{¿å±…Ùûüùçâ¡Ý©D*¢ÈHT¯ë܃՛(Û? Ä}šôNÞV€zÿäèÉÁ“w­å‹°ñFÅã¬%G—¶8„'¼,’P¯ÆY¶9òàÉN{áÏÁÇ85\äÆ.{B÷#“ƾ™õÅÔYq„bŸ’/Ò0Þ~L\¦\eJÕ˜%× ©õíNw±[Ä5³­QEºëŠbªâòLÜÛEèǦ‡%¢‰bó•–²Õ®FJKºH4˜æ£Ñ݇ì@Pzj'VỖ¼6C­€ú¹áXpõo¶íG–âÇì­Ò Õ?®=ÁÛ¸B»9ÞMX¸ôA®¢ær­eÄihâl´àd CtfGè&TÙ0àr¿Ýqþva;Âë €›*­˜D7‹Zµ<þøÜ‘ÄSÖ³xßê°è”¤ÛŽ+êÛ½Wölf•„’mY#/n`íXÂÔ%dIÙß:cÞóù<Úº¤q$ÕówÝ[Å\çsH÷)~7 mwÎÚikþÂa ¦ýÝWÜËi/V§ˆL§öi±Mþg GyK°^tОnHžµ#a4 ôWºî®û™êÎà¹|4€ß¾kU—1G'ÆØKãlb•KÆ“³jrjjø#¢P_ê$!­µmÚ÷€fd%ª‚ã ãwóëÖ»ôR-C¶ÈBÜÝj¬é!fŽ7•é)Lãu€5yú˜ì/ß‘èô8«Mö᯿~“»2êÿô}ñ9i3ËÐ(Œ2ò¿Â³™lZ YŸtY‡˜†¯ˆUÃýßl¨lv61Y5QD°"øÃ<ΦvAGh…: Y¡û:Á]ï™Í&çÁ`E  oÎ8Šr ³:›› ˆYcúT2=ͨìUCë¾KàQ2x´¡É®ð“,àÌP{“„%ŽH¦›,ÄÊÝbJÙØla›ì'\(ìöw˜W!`‘ù¸§.’»Ü N¼ûãe`4/EÂtË:m²³Pðê¦#7nòˆÑâ^~¡²‰2|Ÿ°‚˜N¯¹õˆ™Ö$ã³hèŠñë!Æ×fô‘ÎZâ%gí€Ú?áú îX”$`ܦ01uûë/z†¦ÇS¸6Þ`A"ÜYQÅô`ªE΋L:Ï5 íg¨Sª`Ñ’Ù¡–6”D¿ÜƒìÙ‹‡çZ d=‰‚r{¡g„ˆäZÑüË­%Çz¤¿Ò$’ÊÐJÏ·#«GRùDNã‰tÕ1Ó”HN8-–Þ ‰w<¡|u£Ú+_sÜ¡ `åwΑÈغÖÛÞŸƒÓ÷o{1íl¥ç#Džqùºxñ¡³V«¨_¿köcùèÁúo“ýWóÔU2iÁ^qNUt(qÄØ÷OýÝŽôw¿ê7?pšBœ›¿êw€ô&a(CœYM+©‘”Ÿc ÝåT‰Ûl&mY¶QÐsÄßíÛªf5œ4þ{± }BdôÃ5ÁxÂ8"i}`8¯àY„þ =f¶qkç’×"¹Ô'ÀnVËœŠ4­b`ì2ÈŸ(@''sJÒ«hÎiì/áÓn¡I;SV<c9rñ·~ûù2À½t Œ/¼ló¡)ª²E¦Îl­ÃÙ€AŽpã×]ËÞ5GÜ÷¨ÑÁ qËÓç%²Yi“º ŒåßNÎÎrfãÐf[À¬År£Ãc¤âa¸¢¯CôÄ?‘Á)ó ë_i’á@å€=O+vÑ"«èc6ãDYºê´yF¡)’„ä{î‰ÀOJSÕ™´¯¦¨×Ó${Œï~4‰‰g×Éw²öPÒoÄF>öäQääþJ (â_³ùãà5EÉô‹Ü5¨»™oê æ@Õà4:ÿø¤íG’ÇÑ]“8‚Ó‰á,Ü8ؠЋ»©C}:šXSÀä´§)žÃæÕL?Dh Z¨y( CS'×›$K3bg€e¡ µ¸ÖÓˆ© ë›\¹)Ù{uñÙŸõ8Ú‹«¹Ñ±œË}f¼hø#Šy z0ÍëòÉŸ½!bÛüçX/g·~šs—9¬Ëç¶!•\&…-û™ ¸8Q÷»¼n8 ÿ¸¯¦ÀC¤ž[%IŠÂÍÕßd´À&Úú˜ŠDMÁ˜ÃŽ•ó*zTy.„$´çßÐóÅ 8Htè  \üÞ\î¨V³¹¥ŽLrD¬utÅEàó%Pši݈«i¯ÁˆºÆämzÅ(|ÙÑ쬟trISeB{ö˜ؠiŸáó%Öã(ªú´æ¸ à:ÓÙ=íË®½Å݀ѓg}c: >°.NñHëç3.1#f6vÛëm›ít‡“E=i?âÀrÀdÃäe=Ž'‰b ǧÅD”ÃF$h9ÒJ¥ÃMD'”žH&vÙS¦ ·´©QÉžx¢»¾÷1Þ»ZpQövO䲕’‹kç‘.5ŠZ Àå åÜÕÛúë!¹i=FA;“¿ŒökY®Ô\—ÃpS:]$¬ãìi%ÎjGëÅô4aÒó€g§$å–Ëö÷Xs}…éœï+øó©×ZªY•4lèÉ!Ueç^s½¥¶u1%ϳŠºÕ’ŽÔ‚ã_û‹$žä(d÷âì%x»¾Ÿœ|´-¾ÀiüÌ[[ó@‡ƒ.Ù¥åÖ·VÔh·sã¡oz IœO9%,øá§Zwò²ùʹ«|›ŽÜ†Ƶ@~ׯî-ê#÷׎ûÂL dIÞ¢~jb˜Ø· QŮܒþŽƒ„A9W>)¢°\^¦LSK“™·òñû8ï¾ãÁI¬h¸C>í(öÔaK˜ð»Uy¨sŒQ1 ÌØÉ¢z2f–bç Çòº'…BA‰ÈI,)â%g ¶IVñ.f@òO¤ÇÞïòÞ(”r(EIf¸ š¤¹/-NEäÇ™2EâFb"ðzÓDx„p‡!ýÍÜN²¡R&›Ó°÷ÂT‡¢½qÔ ga ^Ð=Æ*phƒ)TX¥ÑT Þ=’(ºAœN$ªw©~S/¦R7õpjNÄí9ãltnÑ—(`õ<”GlQ鼎nPHV/m¨B±Ly ½&In94€) INÿ©‰¦/“>5קF½ˆÊæ:h^É…h²rÀJ•Ñ=Ó×cŸ™ƒ ¨¹¥Ð `¦•VTM‰Ó.> Û²³ï­sàÑÁrb³Á“ìûüõ»xÅ9rÖhD‘8¨ýͯhˆ¾Ù|óÝhÔÑwç {Ì%W…á"#5 }Ýé I³×)DU_ù/ï…-ˆô¶XÖÓÌëäue[ÄÄ‹ D¸’Ü,lƒ’>ôÉûñýÙ@±TŒ{©7U³9BåqHÌþÖ¦[Þ}ÈJ5;vi˜¥aܳOs«€’"VnJæ"Ù·ÙŽ‹]±5ϲŠÎè6|R¸¢õ„.åÐÂFløÜF˜×L#1ÎùÔÒDŠ/ÊT–<%~4-£°7]ÀßAŽ½ˆ–„âÁдÊéô¡ÿ y»3Z9}?Ÿ p ?Å9âÄÊ^ÐDèKÖØžž<{"~“xË®yÍ7¥36ÐH—¦ƒqÜN¹*Ô®\ÃL³ê°WêÙ0T÷À0³ {Y‘½¢¡T‰ƒŽ6³!¼4 ÓýÙŽþÐ+€ î79çÍÀU»ßĹæzXãs¾v4”Ó$•oD¯Y1,»Ê¹nst}[Äx¹ºIØuÏѯô¡#l‹QÛ,Ëì@ð².LlȸͰµ§&Óú+æ´–s§Œ\›Ô³=B–Fœ¶ÍνÈm!KF®p‡)› ã>b*TÚIÎPóŠ“áüÃ˹•¶†Ñ—"ý±Ð÷e&Ïb¿›L˜ÓlÌQ©»ª… <ÄÞק—AÔÊn‰çµ¾FÕįñ…£æàœ8Ù]Ioñ­¿Š]&¤¢b6T9ú4b%äÛ®WEÚ%:”(˜½ˆVÓÉ`£áТ¨e§*Ée#hÕñc =ùím›”e Ì»èÒ©&¨¢ïÍ@mS›—Xï"·–¾™y Å›””pqú8&—õÏ¿bB±/ŽÕbDÂcÙÝ\§ÊÐÇú§­«f¡€å?”ï?¥ŸŒZ­È©vˆRl ÷ˆ•LS°Sƒ •4|]6´¯Ú惘/S˜ˆMV šÐTíu¯‚a³Wø7LSsª6éEMê~ghvO›±:UÌÍÌlÒÅž’àC{ù3&¦ïø$t´êójÚäé57iLéïég›gjÊ¥Z¦!ÂîÁ'~E½Åó.löýwþ®­±êHÝŒ£kŽ¼cO£UøŠ£‰l‡GÙ£–ýðýi¿½X˜ÙßW¦WÝð¤nRòeGìfw¶€‘QOI¦çôU|É#’>4Ó&½Ç[Ënø9´]ÊÑÔéûÿ·dPéû÷͆Òx×=ÍÒä·õ¿[Ú/0ìéëÍlaÇ(Š×¹}7Ñ9Jnf ÒíI|†ûù«}Ühv4]TüïØÒÑrÚ¹úBÑ¿á2—˜¸ù\%óäȆ]“¾m¾ÁA»´µÅ(›¹$õ>oSöcB•e„ø@ú© …YÏUFd[—ùã­g©{x}ÁAÖ@pŽf]&'ÆÇy£ÆBå-iº1.زÝö7 ¾ƒIÎEÊÎy¦|ɽ‘D¿ä°˜iɬdUößDü5Ô&þÖ'?Ç'íÇ`]_a›±è]wšüDÊ%ž…zƒ‰µy '³ÄFî ¸;9í¯t³5Pwâ˜Uê2Àñp!å]{:ôHÄo&KƒàÀ">öMô{ë4âÑr‰¶,ä›Ê¸²=.¼V׋°uslW[‹àr„=äü®…TÁlH‚¢m$ŸIÄ!àÒ¨Ó…üÖÊï@qÙE>€áÒü¬JÈoÅ®\•(³\ÿ¨Zf¯)Ý`îªÑ¨Ì–£¡ü ö F;ÇÐÈäY*™zÎ3‡­3_µ´W\k~‡F©Å¯ÓôÜߥ½Ú8Zš¸‹SW^äTh:¢«3ÁJË+iD›Öp³Wº‰I$` À@ çv†8Ѷ ÝsUEd93&¶f“Q´}_q‘=@r!LûøÇåÎÌ9Ä-±bý|ÚÎf›¤ò=+h'h?–’ò!©zÖWTKy©bß›ÛI~–jßW“Õ¦»!Íú)L3pó;õeñ}­šl¸±•£ó°”žË `‡Ó”/‰Dañ / ÿ>ÐûÀ‡S8­5NÌB÷Ý~ÑÙ|!«èÖá1KÅÎ4Äê-Œ.Øó~Ô›/TU6uAúœáN«Ü@(ófßDµþz Ïó ™à‡3ùÞ3Y¥í®# i<÷H’i’,³IKg°õ‡P'„ök®³&çMöœß.RL y³mg›0”‚>p70ê¡®c¹¾uÉÞ£û$âXomÞ*¸ž-§,+0|qo3Œ×;¼]#e°–•`¸¶ÔTŒwG¥³V%£§‹¥‡‚AÁ/ÿîC-ç­ — ‘ÚAàìkøÒºwzëÑÅzgv6¯Q'dÝjvV €8®a ªG»P)¾4Ps‘k—³þÀļ6›´­d´Z|Œ i ¸ƒRÌ{vÜ7$ò!(¾0Ò´i~ §~”¹¯|,¤nÆoF§¯cmDÁOÅGíhƒ ÷ç-øe%‘"ï´äc‡LÆäœgäESæÝ–ÌP¤\ß©3‡›¥íX¾;Ða1sþèEDê²È}¢í¯-]‰°n“c5CÖÅ ¢˜ªó+Ü ‡î“Î( kXÄ»¹ø`Z Øeñó¢]¡ø,µ‹»ïÛZª™¸0GN%îü»LìnÊdƒÇ·\d[å™È8ø’iÛ9˜ \ ¥ý@Bpçü(P¨d&Î"ôH‡ƒ÷S|¦^é@çu¶Ú{ØìQEÝ!"W¨±D÷XwN9ûBèSæ:eÔÿ+`0bªLü_ T‡¥Ê䙘ãäÀ°"ùBûÈIØ0o|ó–Z rì,UÇ›ú¢©ú¢rÖÀ8 í?Š~‘Þë§héÇ pŸÞ–]tÂO’Þ :Qo±DWêq¬$x-ÐBñAAÀ - ¼Ñ®öHŽ/X™wdEåoj¿e“û¢É{kåh¾kê’ä{Ú«Ýâk b)ð“â,äKàúmÜ ¤»ð‹DÐ`ú1Ü&5ü¢ì5è† ’¤3Ôiòš 1u´±[“ž¹xxÒý>zH9!¾'äÎêJt )}Ï„–BÔ±Z_ôPÓ‡„ñŠ¡µò¦pâýv„¿ý¼'4Ï«ÜÈöhy/>MZw¤c㊜¤l`ÁʃRP˜Ëˆs8´c^ú7 ì¨:ZY±Ëæ W !ÎÍ¡K}Ž»9ÍÙ Á0;b ž×|!"G¨ù²Õz¸Ã¾¨º¦†°þ…ƒWŠº¥¤ åW##ÖñeRáŠÈ{Í%†;솯àPŠŒÿ[Ì=5 xs•k* ›hÚb.ÔÂSæb›[Rõr“ká~ Ú"£uÂ:VHÈÁܳ¢÷˜ Pnu¼NëžÚã„/%£2ñÄrmÛº¶3ùƒ€>…#1Fc†U‹MÒÊ\ùÃÊÊÂÖË5 ‡S[#Š?ÎØR=ÊÄ¿Ÿ‰ªTöíNEÑô¶º¿ˆùÏÁa.,±©ᆼâiVä ^5·Au};ÛF‰oűûLaQ£`jd"úòN·Ãm)2¾‡¹Ï5úÂå*yÖÏBp ê² ŸFƒÅmßã°ÅŠÜW +ä¾2ð]«ýb¤¦É¶fÖ#–VC³±†ƒuÑúûüãûMúç?ãg,wZÄðÌUO:qaJÜHÔæ½ì›Z¬˜ NE×î¦, º)œìc#2s®8ò°€œPwqô?ÐÃõéµ+!|¯r¿@Z¨ßßÿ"¬Œ_ôß$±ò{©ÎPR»3ôÄw[ó=ÙŸŸDkࣕ¤½@З§Ýó´6ÃD¡lI,?ˆ‘ÿÇX Pát ©T×%µ^"ÉjÏ­Û!ll,*‡g ·¿`h¹À~ØÁ¨ªJÝ9ëʺÑmTëòHs¾À. _Úò}@N y×[ê>½ùBŒ &as¾áiˆÇ /&Õ@ýbã27ÄS.èlGEYÑúSCÃþz±‘¤ HZXëìÌh®J»<)ð¤“f r"Ðœ˜÷l›y˜×ñõD[‘*Ç´7±:„ÿ顦C±^¤?=ÔƒÄã;ž";»,’‡ââØ8<‡öUÇ{”ª¨Dʱ¡£@F{Gݱň¦­°8úÞ¿ýÛ¿Ñ—uÐHó¥#¶Á€!žáX†N&"£-Ž£ ‡›¥¾ö ðgnûvçw0°oÌ«±ÍI*?°AUü¢Çñ[ <,pþ;Uÿqª=”NaļǠ€õ–>ã¨ÊÇiÀ"á¸H½Ã[]Ÿ‘°!}ÔõLá å›ý¶‹›}¿qòö› )K…¡m{@jG¶ÿä1ÈÄ…l]’䦲¢ŽkòlN{LÙÐX÷Cˆý ¡k3&!Ç€¦NÓ7}a—…ÿo#t±§l«0 /9Êþ§Ú×]ÛÇüÅéןۑvÓÑà™bO<»®†êXDÖ‹;›gqä Ê%²~˄ܱôÛxÙ7ªh™‹w#²¸áòã‰s1^çHÕݲnuJÛJ!sàZŽÏ•HûÌb:é®1—Ò6©¬æ:ÂWÚÁ°ysý¾Ù™n§¹ê›®hàI:Àú ñ*¨ç=.MÕogÛ-fbi  x }~3ð8¬Í¡©pQĪ2ãBR×ýYÿÄý´çX=AX [Š¯²›ŠSà¾I¢‘A9FBºH<¼Ïd¸¥PŒS¨R7ÉÝÐÁ×-Jaíhm¦†ÔúWJÚ+F£ ¹~Í$ÝÓt)ÈË#Ú©UÞ1R·!J‚‹w¹ÙRßê*éŽåZvÛ”#KŸ­æøÑŸ¡Á³SqRÓK¶r´nµABEªð¥î…~3Ò¡Ix6ˆ8Ê¡ÎúŠ¾oÕ¿Ï4öL}hªŸš ‡ÇÏÅD«³lªìåj6“ë¨Îò Ò:÷zà8Ú3‡PËk¨I³ö(68ö*Ó‡€09ÜP'Ö”ø5w6¼l`g³†uÚ©ö°½Ò6nêŽÙ0ÇG‰I^w¸O±Á,Ü´¨ô .ÿ„^¦Ò0‰eáY¸|Ä.3½ŒùîP ‹¬RPt“Œý‰ÊúFFÚcDÌW8#åt£“¸!í­hŒ([jtÞ~ÁDd¼ÁV9Sú¥ïÞÈp—Ê2\džKhè„{VòQqQ9 Yƒ¾Z#Æls’ÃG*&û MÔÙ8/v÷Å´°2¸ž6a‡þý"Ê ·@.]¥â~?-¾y=ðÄq´ˆ‰3áÉΖ§û©ƒø{É€íìà§E{‡j¯"Ÿ}…}°ßΘ‚…èµýB ÌgÐ}Ý/„"Ë,t°¸òVnZfú³›WÍ‚0ó•£pu;¸6Qƒq†§RÁèÅuÅq¤yõÌZΫ¿Î [p…d¡U¦W¾Bô;’lªÃ_Ã߃Ôâ÷O;Ñ°‰8«—/_:1Òåàj8õ`üã¯BÝ“oþErÇíÒIêÂúN°7\C€ñ¶ý˜frÛä,å>G6š¨AüZÚe¦‰r‡W!(+älÆiîUG-¦^$ þ ‰áÉ!Ò2>…ûwPðVϻࢂۨ6ˆ±|ô¥Õ9ßÇߌ¼Xu:^Ü›Üálñ;tX‘Ì ”®„u!Š¯_W—cÑy€½ÝÐþEò¶šÙÒVQõà„84¯35ùà }‰Šf¿£À®¡µø¸¢')„ù5üÐÀíAM?g<‹0Šhdßÿ-mÿðyi¶5šAtŒ2­­Tÿ» +º_ÕòU§C™Xé€5äWÜaZ‹þŒ ä±ñ°Üï ;™^kì˜ä… §]î«r¬`qÇÞ0˜,ãÇÛZóØr¬]„Pà)éxŽ^€+P‰çB¥¬I£ ³–iǦE¦@*eÐØ9¤kEìëž–ˆÍ=ÑIíÐÃÊ©·òú D(ŠzãJDÇ ¨Â–X*Œ­øÀh¶Ë°êÒ‘ïo›<ʾžÎ¶Ó#ž\ŽàyíãD wL[k®EâI¥y£%`s¤¡’ãX'‰#Y’Sh¾’f.Ö]×ÏO™A_§¹l€Yå¹mcÆ,›?²>õ–c%6t[úò#R¹´¡ç ¢ø½–­‚´f£*!1à'¢ös‰€n®2·ó› EËhaS ¼+Ž±Ûˆ c¦nsˆ§% qþ.ô’ÿøÏô4m‡¶\ýXñôëÀâ°CęؙCƒNkÜËnÐVa–±ø·“@“Ìeñ ÉüÑŒM®D’¾<öÿ’"T5ɽfºÔn¶´ÈÅIBgáàZ÷48=w`™bCV´ú\bØó·(²ÿP&Wé0~»‘âÓ8]£X`Û~¿ãï½î8CžGºü9â5O”¢óº£iî–)èܪc1 ·VÁëÉÏNDX@̽-^ÿ¦ãÔȧœ¢f‘þÄáª&jíeæ$ö"GfPœ'^ ¹wtåТ(ÚÒ ̾雰¡`¢u^%cWÍm]ËDG"’ª¸AÊ—M^ @WQLBZ:_ºf éxÍ“—Ö.¢´šJ¼ý-65t™!v'ì&_0ŠY°‚ïÒq¬Î¹îl.)˜¢Ä#R+¨úŸÅÍ&]•hÚ*•+¹Ó©ú .wå?»Ö&¤@I•²æásV­Š ¡$^‹”þI)O.nGÄì ë‡ÐªNŸÝö–³M} ŒBôÁÉ€J®´•g¨‹„©l€!£TW€ÁÒ-äžRT›œjºùìã\ þŽY[3uæêØ>w™¼´Êé__ÔV|ö¢R®t¤˜Pðöc GÝĘí#Vyó¹Ý<âÀªì}PÉõ*9®UÜÜoñeXÓ¨’ÛºV‰-®»Íã<¦"*@gg&í=•çî2½2}SVS³Èô´’CêF{‘Óg¤Oø·Í¿~÷Ýw¿ÌZKXûø÷\NïÔ$û/Â=æâ P0_§-‹1YE¿LÀê˜ëµpÛ7Râàg[AzþÌù&‹é.qÝcœHsÿZÒIrøVsa=ýš×}Ó¡W|Oh&ö¡82ô<+5ÉÛø=“d'æÃÁô1*3›,&æºúêpeÉ Ó²¸Üx‡N›I(à Ǻá¸à¦¨ÅÚqlPõmW&çé&F5L"Ó¼F‹¶€é–4¸3à³bö?»Ú…Uæ:CõWwŒ¶·ÅvØÌ2X5áUÚd€‚geŸ3:Kä²h4¤§æÿDýŠÖ%nõ¹1Ÿ(arMÄàC ¿b¸Bß~àÚ˜™Ï>êAƒ½AwâkBN˜ázäØ]°ŽàÍ%dBÊ:µ3YÕ‰c_"¬¯¯¬üŽì¢†°Ê¨B và›b0mí°7mìªqœC—Eã$†6XŸý ù€‘ýE¶ÕòÔ?1ª–>Ý LkŸì)Z6¯IwP[ú+š¹ìÛGH@ò|C5e Ђ’Ãc¬O1K?¶/õ›žOF¢3Ž=ˆ3xî/ ç»"MŒn]é’Ùq}“Ò!¯'‡ .sÅ!q‘ÓOI*\`Í ´…’«ŒN¡E¿)EZu‰ä&Ucìä…Æql8‹Iº! TD•l–â©ï6Óui²ÊÎKÅHÝ"ü2óí8Üâ6s†–¦›g¯¹À…¾™ÆùâÄ¥·žÚf¬ø¿J¾Á¢í¥”/A#4d›Îÿ ð2•[flcüòPj3¦W ‘ÞxÝäIoJfp³±šõ•?WÍUHé—rؘ/QI€Ç>eÌû-iÁ*‡ƒí’±895$Å~Tç‹Pñ³ jgG8VuJE­o;Gíj &ÕþÿCæêä?²%“º•Ï'šöãÞïuC鉴µèͶ4—ˆ”:zEŸ}ŠJv‰/™(#íàäi'ë—ŸâË;$p¶XÒ|ó·Ãa”uû¹êûjXví2®#‹C ¡ôÜO€YPÏD,_ÕÞ/õ€6ü+:éL‹|g¢h§\j( rz`²iþ¡i%~ì'C{ª‚ñí·DˆN WôÛ—eìjÜ÷™‡â¨®32òE!}&¾´«4ùº™½ÓvÞëùŠ™ˆª…¢éwÅ~_ Sœù|¡!‚ÏË dc3Õ–e/h±Ä äÏÁH~ Ótwš‹ E!ž{Üȳò×PpS7­|HŽžNðÐùvpKÐLP¬t@-;¥}ºF1ˆ^Œð}ˆ†!ˆh×ÿ‚9¨ó´1Ñ&«¢6µ•už¸.i‹Îéx`¢ápl…~¦gýhy½Åm.¶¡@ÓÞ”§ÕLsp$ÉJ4¿Jñê3[ÊWÍi ©Š¸jáÃûeóA%åI<¯‡¨xîÈ9$ZXµ´±bÝ]& b‰A¾‚eÎ݇‡:6Þ¥¨[øÙóƒñ.šzj2;ÌíÀÔ'r-`Ë)K]à +Í_06#¨§p‘ϱ $]ÜÏÝì”ÍYvAX×™7i•0H _2kf+R´kòf ’?†ÆÊN·»$ó:31Äðº;Ö%ûñùð×rJ8!€–}[w­;ž,ß°^(z¼j‚‚jKŸ`²Ÿ„í+rÑ:4h{D²ldT>]dCêÜÎ%[¹„>»C‹ÄÄ{Òv†ÊÙ»¯ÍI#a“åºFÆa´\=™†cÆ?ž@eª![ Vš¾´1kÜQW$Y¨Šê{œšdVzÝ©°ˆHšÉLù¢Á@˜©¨íZ…ÂFÿp>ƒ£¾ƒ5/Ûž¨ZÄm&Ž_4D˜ðª#p’ ðœ{rÁЫ"þµ%¿j„k¼%Òã±=d:|þ±‹péu¬çž¿Kw>d8ÃŽ–æ;túuà¼ÑºÅ±~WªÔ)Ÿ`_‘d¸ÛŒÓȱ;‘_>aðöÎñï¹?š„sèåÉqòMèâ…¶¨\bÒÛŽ«à ÷\~ýÊ o\,ÇT‰%üQì°ƒJµ(g…mùìŒDéµ)t|¡ zÑ×®~}ºÄÄ^ïª*9„ ãt.Q`-x¦WÛvŠ:rŸÑW¶ÒsaX0ýv¶_åF.³6)ûÇ?žÂNƒPÒ‚„/ ¹úÊ[‰YqCü¨bsu†x7`,i—$¡eçEî.’±’æ-ß„]eÛ Æã¿ §ýpÕd  NeæïL’ÀœVwžH%&µ\v”F$¶ù¤Ÿsλ¼Ê¡1 1~F0,äuÉ°'ðãΧ®¦Ôj¹óit]dª(æ‚‘FÄ®o€ ”ª`̺ÀÄ åhÕ0\içúã[>ZpÑÚ#3U “;Û±%•Æ§¶gÒÇè2£ÜÉ°/gq…A~™*Ø8±§Â^÷Pöl4ê$é^kY{Ñg½¥IÃiÛñqöªlqè®xÚLºÁ¨™?Íþx@×{œÐñ¥Qáo¯AìüŸÄåá£b}å"}æ—'dT†ÈÆü$-áitÂLËE¬¯x1Í("yhË*C`¼šÇÔ|÷ÙÌÙ÷Q©ˆÈMªâ}HÇ7(bІ¸˜êziÝÉ.Bò|€Ã’ã‘lp¾“Öƒ•qà:i&œJ²¥Á[š ˆ¿Ã@`ÌÏÊÍ¥#7÷¶Ç‚Άx0µB~Êwÿ*mÿÆ=}¸c¦¶5Î@Êy‚¦ÁY÷Ä/°ða-ÿkæsÉm%ÀYŽê†å¨XÓÝRüî;Lˆ1̼fÔt ¦{n«"vŸÉ³Þ•sTM'Å>À?aUW×p¶íÊqœÇØ…ž3“ˆ‰1ß‹áIünŒÅ4¦•íª½œhÍwÍwÛ)cöÄŠ¤£ü O}FŠ~ åè¯Ú]jÀçõŽn…|Í¥L˚ܙã;ñ¿²ÿ mØ)Óºlc…Æ9‡¼ïÃýïƒ'2«³^/­tG:s Ië|ÅÓgÞ”´á&ø4;ÞÇc/çØ­³¼Wß»–=³*\©wʼnHÅ‘éÇevw0¡ù–ÏÚŽGŠÀ>å©ð„”ÃömØï⾶™‹öQ½ˆ1"A>:2„†Q JøUî ~Ôd7Gálè‹L#UÈw+…Šµªú‰Â\‹Æ(]›I„ >hIóR´Fꢃ›& _ᦓ õb•.°h¢‰¶ î:z§V¦Š‘‡pÑOÅ"˜hm¼-y÷ßnM_†Ä¾™ƒI ¼‰¨ ÑLÙe*@­`šðø¡{¿4Õí÷à4jaÏ0‡=ñíèkB$ fõ9™12Mj¬Qœ±ç˜ÌcŸÂ:)XðfšT¤Ûpƒ}îXׯU½Ï|"’Wû¼žBŠ ,….pÞtö@,ŽÌ `ÿE Xò¡”vNC—„ÞÌfÈÌŽà!Ø1ªáE0WñDËÛž]àsI±gº¢éÝ*¤YÝQ+›í›kCRN*ù6éê\¾&ìƒz›´—1´VóAŒq8ëæxÆ <ŸÛ’*oo’¹+gv‹=ÞÒ—µ“,‘¥@'Ià©uÇ Õîñnû9±´ ôò*A28ö˜ôo¸e¥8Ì 9µÍ×Ð×[1ZÞëƒü} ¿!Ùç³ì°%qO;ä(­~ánÓjV “5“Êí®³XBrsJ·0Užmi!Ô|v¿bŠ¦a=ÊÓˆû·«˜­u/å(Sî!‚m Ħ >¦j:­Ì.:Œ¶EîGܾLº}ÚÆ~ƒP4ØûçÒ¹Õ1Måí‘ †ÿ…Y«$cB;âC^ΠKb$© ‚c5ò!ªI½œÝœâ´žƒËJ¾“6HsðZÚ{,ørïûÃß­Ç9m`O:zÍgÓRÜN! R4?)ù âôH ë(9¶7ór󯀢‡fW‘ÖP]Zõ¤§aý|¢ Êno§¢4í-ÉR¿ ÕBÚ(io dÀÐïh= !5x=Q¡cŠo'|Úå\‡Ö¼ ¼í¦6vÚÃÕ ³R^ ÿžèÜ/b$üa¾î8/´ØÙY$è[”á´"±ÌˆDãÔãóœäw5Õ÷$sÕbÞ7¦Þ³ÀÅB UöF¶*éld‘½gI¸/é?É\½$¹Å°JN:ÞµæEK ҌҠæyr}Õ1…"w¢-ÿs ñìÞ|f‹4>Êè¡ð™õpâCš[€ÑF‡åšzq®ê˜þî2]»”9–›#H.‘ùèÉ÷TUœf÷œÔHZÍšñ6HbÄÌkáÎN­·Ð=…,˜$#a|^˜ZÄß,t?oÅ•Êú ]÷I¾ vpæÙkÿœ´ü\…iq`½V#òk5Vœ²>Ä»'ü®è+u•”¬tÛËçM½)ˆÆ§™™bÖÆ+Doê|œ_ƒÔ]+›ë &©:´ñ»ë$ykÆ?ÀYÉà ³uµ#ÜèñùÐæ]µ»*_èè†HÏVM•/BƒÖy€ö»ÊY=$é4Õl\@<Ï*µèé}y°“|¬IðϳI£{ðrk3êÔþh»Wå3¢Mzjæ›ûÄzÝÚdµê©€QÊ’¤WQ=Ý„´ ïZƮʦ¡U`` å•/ržŠLŠŒÍ˜–ºq |œ`þÊ"„~?=ÒN`´È"L5Y[åœý½Ìëˆîúöºxì9ºX´°ú7 )ak*MO˜é†ÆŽ"©wІqóöz£Ã«ÿêz¬¢‹S?<©|¾å#ëHø“€?ŽYR„hýo‘†“ÆD.±Úlª²˜úð*<ÛÀœò÷¿bR>]YoUÆ ¨ŠZ® ·™¬ß²àø8lãÈoH+ÂÃ"Ò‹ß`¼\(b zŠEï0Úžs˜kÉKk­pØe·œÇqÌBЃ^U(9­ßDô½¤Ê€Ó~G ^ÒKHsBÒu%FP«h‘c笻ôP„2œ‰>2µ_b›ºXŸç^É%F½ÐÆŒ}[¤@|”´,ô05†Q´ÃžQ )B¥þ–ÄlMåEÝIââ ÜG×y—šDZ j;ÉãûF…R;Šj/@zÛ‘€lsΘ¯ÇªW (Öñ8ß1pÞŒ¯GŸnjVäùUCÚ¨ÛI½?éM1­ôA¾P{ך¡äÈ<ÀôDÈWð C"ŠˆzŒÙ5vh°Sc)5Qu­äÛf:€<£*bÞ¶E(ù.H’maïX#Qª¯jì­³þ¡/Q½½ðæÚÝÈ6‘Ù u,ÿ˧Ýúñ õ9]B5ö÷[lþôÀ¿@QŒpñÝ$ægÖ!ì Φ%èàÑþÙut“G{›´˜ð°±Â¢Ñ…ì—dJ G&’0ÈðU„ØáË]-‰%Áì?éõ›Ig™„ùº—Gc`2–nv‹3p¤ÃžôxÏ}ûuídQé Iƒh‚Ð &ž‘@¨Èoã&¤Í9‰B ©Ý9‡ˆc/ %M8Ë[[fÊõ~–p׼¥Aï›-çس҉’^Š‡8³Ë‡_ûÈ·ÔQ—Ð…´WÍL»N %õ©hR$ñ¬âiÜ;LÊ}VtBUÑNó2QºQ÷ å3øÞÓÌÕÀ~Ñ=-ÿ³8w­5„â@4v?±6ÛïغC㻧ò°s~]@ôå{75¥ îz_ì{A|„Fà ÉZYta×­X*蜎ð×ÁîzÁæ'¿Ä#žaŒ’R(ÜwqK•˜×%UÏaça;{’Óàë80 ĘþH6Ç’²]t‰ÏTúÓÑ95l¼‰sÔqR9¢Mó±–_×("qÔšrLêéiwrlz/í ;´§’ÎD¢SOä·kk8X Á¹öƒämükY §£|g ü=h•íh+‡ã6ÈÌ4¯ôqtš²] u|˜Ø©»E521}n‹HÀ¾)¦6Í‚ìŒÌšŒ.¶ÜD$=n !îg=š§¸¸XÚ@oÃ9ÇPˆÒÁnËG¹yZlX0zsnŸl TdÂŒ¬¼-æ‚9¦ˆ˜ÁüœC¿ªÜ¦‘hƒ?SfÙöˆË 24©Í„¬8‘´Îy鄉gæ1p¡„”yôîÈ,Q¹°mÍ™E*L5ˆ~Á´üÏTÑÆ«×Z¶*®:GÕG,5±3›ç3¬ž$Q{UЧ°FáÿŒåY‰ü€\†¦è®0Æ­p=%­IáN[šø¯ñ‡,핉ç„L€îQ"¬HÇ#}-Âaj˜hñãç $}U"6¢2ld‚ÛH^»þôúZ´íêb»%iRö%~odO«l È]Hĺ± ØL‹†¡+«O­³žCÒä€ýZ¢çÞçÉ ;/kŒEN"3Òª™t÷w`$N:ÞjŽ¡ú4,èÇ=Ý”´Öò£-µEÁן.߶n“¶ªžgºh@W‹o·lxÉÓvå[ë]É°½@¢ã*‚gª=‚übȦ¼‡ÔjOæpXÛ[¢tž€† 5ƒ½ßåJH%84Š/º_Ðrôpó È¿VûÐQÞE0]TˆÏ1წewË>üPEæ`0áZgjdDg•Ý@ù÷˜øL«q}ƒ=h==ö‡åq’õ §³’£êó®ÄÝs¤˜(cëL@MŸ~wÞ9¯±®eáÇãœ³Ç Ìà̛˫° ¿+9aí¬@ D¯×ÈJ÷Œ2%çoKðäâ<_d7«0«¥ÄroW1 ÈIK²‘ª™`tvñi—ÇÜeTtÔ…‡ü OKoCQ±N†g>ÑÕL.!–ˆ!7Q5Ó1ÖF´f×ÝgÈuÂÕ½ÚÿíÑ8(ëµQÔ=hä«ÔÍžÄ,ŸÊ<ÄL‘Ýú *p‹ìQ)Ï‚u+B¥žòפz<Ó"çÉ1fÐ3i{ sâ¼%š^mÎ[4•bZ§£ÌMóiïG;+iÕyqÞ—¼k™µ»s[)‘ü‡ëq›>I?9ÝäçßV¸Ÿö²D²áWßÁžjŸ¹*Ó9gæ¦ÑIk‰¬¶gýµ]WÀÀ»Æ±QIfšÃ̃ƒBò²;€ÔIã²[>ª†š7&‚_÷žÇ‘D^ùOôxž韴e€ ™äŒà×ß“óé8S 5¬% ²û´åˆ\…ÕG$£àïc$×t"šçL—±¶ÏwY°î ÛÀ5¥ÅþÜUé­fÊÄíJO- €Ù¾oLÈm{Áqh·<€ é$eÏÝãH ÛUíX''²åÛx#¦z;'ò´¤Ù‘„çÇ–z-wÿ–[VóŽ ‘rcoêÉñg>ÜFôᚎ‡±Düy‡:2"/·›ì^ ~âv[Ç-­RÉü´`Ú³Öd¤Óf…cQÈuüÝ“ô„%Ô]–ê´ÜLØ–‰G3FømŒð¼½Ì,'ÏÞÜn?3IØÉ+ |Ò–ÒÐxÎ2h¸­e&u;³ªa«Ø#8UwmŠº¥°-ãšA§‘62·QQ©æO¢é­’õóI Câ-šÞqºð·z]â6‰Û1ž§£åSžÀ’š!4‚J2Öú6øzKàÚðú±¦û&Ž>îLÆà%Bø|ñ³ㆶ…Š’ËÆÚDqÎÐAô#òôªIkËs¡ƒ,ÌCÀšËäÊà ¼3+r_­vÀþ”¹ê‡)O$r>˜8èkXqé¬<öC¢>Ùºjc[O$Ñ.†#¥è¦?’Ÿ¼¥õ¸¬pÞO&Š¥oª¾Œú¼9yÒì QïT,À.O³dµ± çžX<̤« ¿å%¦¯ŒëZU?t—g:òfEƒéK×ò×ò;½’ñÜ„©}ZÒ×hoR»²Á<'Ú8˜ì(ò9Žœ&¾ã¥‹zccïÒåà|ËÁ§¹ÕX¿»ÏØ€M^&ãè”@/ÏX†Dc1qÕôÄcWnªš¸h9éGH,ì¼ì«Jñ!+÷œTš‰©¼+µuËš1Uà…’Éé5×ãHŸv ²‰…P=‹ðÖg|4öŠ];±¢ŠÆÆ8JÖ|9i iTÞ<[É&8Ù›ãh®Ñ½øåó¬Íh•gPÆóéy߈ 0 yQ¶Ès¸Mô¢¿˜/Â8¼²>ß.ãÏÀŠUÁ›½’FÔ¹#{T†ŒÃëóñÈ.ú¡!çÅy«h}>ki--T$÷˜ÁÔìæqý™OS¤¶ùT‡Œ\íV9£º6Ú ¿è†í øÜ@TöšŽpîÖVÙú««ãf‰°y:’èí•M×M©b+º½mæ­øÖ|èšùLX)jY ²G*†Ë#Z # wru}ãEx›’ˆÒ圶•®ú#5ºF¤•x7­3 ,ÌcùH‰…SX’sœ“±“pD˦¹îÉêÀû1û¹‘õ°ÅOò2›m7ç7²!¬ÑìÕ‘N/ˆƒG72’—2œžÄá *\ì¨ ½4ŸEw2zR­&ˆ¯®ór®é_IJÇ‹•ïÿꇡèÊmxe—™^y4Rs]Â3 ÃycETýÀÆõ{ן›éÆõµë±T<È}‡™HÒX \ÝøèFöÌLW±Wb‰·î «úuÞ'BÄ£àsÅûôœKàX„e]º Ÿ­õþ¼-@K0Íh>’‘I.‚»0â›»Xê–Ù^áCî=E¾èR"J'â²ÑGR0¿Îõ6mzOvWE™ã1ª€÷ö™÷Bc¯®<ózý¹µµlóÎ N¹f#£jö™õ ¿mô¬j/jʽ¼~ú}vã‹<X>o¹&(Ž›ÊÛ CÊ9´JF/_/ g°“ßs3™„ÓóãLÆš8iMÀmyk£,S'éwK³=¯Í¸]‰~’ǘ>Pp ÇUg™8vNœNeÇ?ô4ó¨4|U_*¸„ק‰¼ÓôÊÆ@¤_Þ2N»–C‹öi…,2 Qpfc€E%›©É5šÐõ4Î×#pk](ñù§7;mvsÑh —&¦Á<¼10=¦/ÚdP#¡È ïc´ÇвÐÐö,K§6†ð«Äi-I -xlcX0HàÄÄ&û>"æc»› €¬|Â:Kö¥˜PñŽi{Í÷$zÝ;÷ÈiÆæܡƨGßc–ÕöÇâxêtBL¶wæ<¡É;HÅíC`$ÛÈÆ({:ºšÆ»¦Å[ÅUtG³üŒ3ÒpϘ:ÝŸµ½³1·íÄ$—áœò´»ÜÛ°‡7Æ;Œq·Œ·ÒD |fc\Àøè2ŸëÌ Ë°"Ÿ Á¯EIP1Š’ñG6 < Ë…9SäÖ øQ©ûA ¹¯Ø¾œ÷1œÈ¹@W:@×uPCÎÚ+àháïÊFÁõ™Ò¨§‰£Ó1°NcA*;¹QŒ#u,}BThO=§©§0ã%¾ÙyÇéCë\,´å†ÈyÏåÄQÉL±ŒB/rθ8W§Ô3^f¦@Ș±lʼïÊБۃê‡ÒÒžükÏ;–!·÷¼ «½Ÿæ÷4¯äRvÒ•áiA¿hé ,ÖG¼IdŸ“‚_ç?ëh ß_®cw9ÚúΉE๣áä¤12µšv°ïÅÞ“—c–ù:ÁùkLÔÈV‡æ@“È1#è|†|ÄA=L‹¸JZ0(©ÏÌdŠÌ÷òÂ{o(“²Íï~.›ÿœ£Û·ÚX¸À<˜XËRÞxÁñ$ƒoæÈÑ2Ê÷yî°Pƒ7>7xIï&©JOý˜£O —ø…æ¼'‚ªY–yOºó€á™"}Í»ŽWÓ§q’^àëVùÞIEE¾Ùªd÷õU¡myüüËÌX|˜wê陯HίLpÐò\F̳¨®%œ'ö©/MzU6÷ ºB‘ã\„öDZ#špxO+!)76Ϥ˜"Ðw X\MŠqRi±2Î4àqK›¨)¬ÙDFh¼³ˆÒ„TŠt9u€‹y\9ß±WbY]DÀcö 8*ë6ThàÅÝSEL }•ÈOÚ¢È6FUV8i:mÃçq¤ „À *¸fŠ ʸ*wâ.n rSOØKaewI ÔÑõñ31]8ýÌnöt1bl¹Û£6xe֌ꂑ½"=t;ñAz“šwª ä‰3ˆ¸, ;ß#…»g¢àBì§%­OpøÛ ¬2+“Ý2EÖN€³™sùj¤ï3L_º†‚ÐG‰Uš| ÇÙÁI"z¨&=¸2gw‚×.Q*ŒÑ`8ߘp¸ ÐRb‚9`Mræ£pJÍhádÛ!dÍL‹X©9­JÌ.üÓƒUó=\ŽÔ/æìØ $8X~çÙe¤YØhtZÇý;>ô°bÚ2ÛÑüN’4zßhj)ír[Êç2‚.Ïøkä©uþ€a€7ÀÞl€Â \ñ†mÆLâán»¸áÀK Ts²Jî’Z´ÒvtŠáË"¤ywÃ: âȸ§!BgC‘>üü’©q"𦪉X%h&"ö©1ÏéÉÀ@^£øo€ %gÎEFÃÃm[ÇŒ«ñ.4ú Þu10ù§X~Ê rÙtoÄÎfUôBäå Œƒ^—qÂ۰ゆjÌqÒ9»’Š)ÐÒ;±©¾è.­“"P8÷êzí •FfM¸Ïëgm-Ÿ”®™ÊkÙ×@¦‘ˆi‰ÖlÃ¥èЉñiŠRˆ•“Ìã´¦é Ò] tdhùfËó«Îã ¾h Ô¹¶£ˆaw‡1 «ÜGÛÜ#X`[ðòÆå ¿,ô퇒*U÷s‘Üíb(1sŸ’ŠÞ|–ù­Å..4’\Ø®Çr°]™èRÇOB²W€ iΛUBëBÓO9_®o¢ÊôÇËe&ŠP_ ÀÐ"A‘W@è;bç<Â%¨®1)ßdrÛ, ÔF‘^­_«>w‹\vÎ3HÃl¦QÙ*JŒæšÏêèÓÛíí"a rx¿Õª¶¹„÷ì ó´h„/ ~£^ç<Þä8b"ƒú¬›^eÚoœx³1xn24±¶$·^ÃgˆT¾xÚ®Öã,þ5¢°l'Þ˜Î4Y¯q)FüyÚö|œ+ÂîHϸm8"71¿Õg6Ê(Û”,w "X³£,̤—§Äœ>KrkWVp6^DĹn¡L@žŽ½IêUK’ &oÂGFRÇ}›¸AS O$A0ñŠ½ŽÌ8Ñz»†ýs‘6ÞŠÍ·8ŽOs› 8ruÇVt%ûðúf7Ãî Ô1ÉVÉÖÜ/ž~\@ ˆð+82>ñDøtö ÏN]Å΀ $îQa‘bÅi ±b¿ãöª›×R¿évC+¢D¥ÕX(A2Q¡;úH ¹äEÖêæ¼óA}j$˜eüõI)ÈUç?)8ÏmB wžÎÇ¥‰:ÙU‘h,V«£|7çbeÏ8çÓIã"Ï3 ‘qþ¼15–ý|†¼/ªÊnåÑã¤`À*ÕIKÏáshüö…qpà“Œ 1×ýK±`:8.ˆ;èyËú$Ÿým™s†¿•×pZƒ² ÒÇ<£eª §mœðqR„£ó*L/éºå¹ê>ÉK#ÚˆÎj0¡Ò‡ 6p÷«y1¦u)ú§9ò<[ç*?¡­d ÀÐ*?UáTÑ}4|Ìž³R;d/i›­å:Tø=ABÈ9{·c2Ñîîkm=Íû¹0zìK>eÉìþ—TÞ•¾“qyË›%=tÚŸèÚ‡ O†“–ƒÞß.„€ûDJeú|Ž¢‘=Ø@'Kvã¹H¿=BVÊ}^Í.;AÖiWr@[þ¥‰¢šÚBÉ7žˆ¬ç4"ª´¡-9Çÿ§ƒöÇç¦'D"ÏQÔi4 “=YV«­ûŠ÷¾ÓÄ‹ÂÀxÙNøOäÿqƒ{}3l­VžµIÂÉ+Leô–1m{¥4%-lªitÚI¼8c¥‘H¤‹HlI‡ë_:ÝúU'b9Ýä» KäMA~”:²J`­BM»Ê3Ê}ž´šJ=G- æ1Iß>4ûàA7˶À°Rƒ¶s&uÄqDðîÿŸI')»3º¿'é·§boJ×Ó²|Pnz{æyÉáóìôèMp_é*Ì;¦¢Õ§ÎFz‚0›pœ`w¹Iô¼³£»Ôq鶮5;è c¶OÛ•€ææœs·Šèd:e}Å;)`C¸›g*õ×=Ë aZ z)anéÁ £5õ ·;ÚAK Ìwº¶«Æ.²è±_ÏÞþ±¼NÜjä\MZsW„q|7”s‘²å”`&Ãã]bÐçNa;àKœYåKQ>Šž”xq^OÛ0ðÖFtÖCY“H]ì¼· [rªRuu¦¶·Ù˜6p¶Áz?&[•…1õ"3áC™Ö8‚½ZX›®0ßãð£m ž°"!þe,ª1Ãm;SÞ$€ŸEÒ¶p@ Œ´$žq<ÀDtŒïzVj]ª“3vÁÌbKÍmðV΃3f%¬šlÀêåRÖs­Dw|¼Ñò>Ëñv³²lý—œ\Óöµü@KF&’‡£=î‚àÕ{M·'#{Þ by:ÒxÄV±ÏãvæsÒŒÛ:1z»Pá&Æä]Ï¢À(¯`ÃÄCV%Ç#I7z2­e#pÇÃj9AϦͦHÙ¡—ð\«ÈáeËcUÚ-¦#ÑXéΓò»c“ˆà.i™b »ê4“æÙ}Ô kµe/;hfô®ŒÁTÇù¹áä觬HãÜïñ{'c+ßîê= ï)j,j“4`PoEÿ˜¿N Š½#êº`±ïi(\nð¥HѮĚ"‰$<ñóôj“l£¦‡4†a²çƒÃç®_¿.RQ¹²4H¦°w$9>®ÛY<‹¥ïÉ©{zy”W4û4™@سö¬ mƒ“O oþ#–rGO#æ–%=S}j$†Ô“$ƒ® µµ&;i‰;š7"×Ö/$ m \y<˜ÙÙ-•º wÊp¢£¢Sæ¨+³^©àqvÉÑzÈ’7ÃŽÉiµ¢3 8­ä“`Z_HPª±´Í…üý®ˆ*,B€[tÍ9›ú6÷µ¶ºR3f´±d8ú›ïWÆHyÉÓ]âwb¼·‡á+ÒÄ ƒ®Ø©øšº:{ eüüÉȹ–=,û^Å¢M8_Œ}8'SMÕ+æ×q¼±ÜØR—ÌGÚ‡Ç%¿oÏû¤+7MÓòxãîŒRËIr©ê3 @qÂSÓÆ9ãÉë{’òó,‰4pÔ;ã绢QÅ µK;|v—„9?…hZZÕQ0¢šùX#‚]WF:É4 Äò;Qì 3¨ßLºUb‹ñ9üyÅ«­ÔZj0ÏnL;uGM+CbÕXHÙkÌtšëÕMÚd‰!YóÅ6ƒéq°³Úo]¨ÛÚ*FJ7ˆQF÷w˜!mÒËÓîY˜öŒ]˹W!‡Ô,]æ* …Wsxr­&–aäÈ âb]ø¾Î#TâIK£ÉÎÀ_á—#½QÔ³€¶S|+N<èz¨,ž8k ê. eOµâ\¾Ev(v&”òf[jWEŸ6yaU–‚èÒCnë“ñ2øŽž°Ì5=¥%·—TŠÈÔðsF%IÉXÝ%t ^jŠî GSÉžõžä‰™Î )|îꢱì¨À"‘˜Ç6,„£ P 3Óá:ª‚ý³¬¶VÇ(rÄjEø›%é 0®a¸YbmA,M4*}Îsò¬D FNÉ°Èa ¡‰qdº¢´‹o Ì+–~-à ¤í±¯Š…)ó«²¢g6F XGK#7<«J½Û3ÇÈ9`‘Ä_ÓW6’ë£*ïi.7X†$Š+úqq`ŽBN·)´èJÞwÖqÁѯLŠuIð¦lÙ£&VIˆ‡qñ4ý¼´—EaÊ4ªÆÁÝ´FÙŒ¬Ëi¥á{7,’H–ÌA;ŽGeDësR:ZèåW³ôv’ÆrHê|Û¸Dvìa›Äõ\E˜°Ió7TÃ.tÏ-µ·`ËîÜ6¶¨¤6PG‰ªÚ@z¿WÆ\âi¶ ¸@t³´åÓhßê&òáÅPŽ)ô‡Z3@UU ×ÀƒÄâ%2,=Óì>­çéi#ÞF7æußL£*7õAWâýÏÌ´¶§â:¢¤!ÆÚ܂LJœfëX®ŠÓÿÙ&B’à%¤²¶Á‰öQ`ÜÊn"Ý¥xš’§È'@°Ž7›y4óá;°%ݯT¯þ¾$ø¤I”ÞÓ’A:k£BM^RE”SK‘é<ç‚åÜ¡&Âè3*1€/îFÚ÷u¸ c&¢!•71cý—"³¤&ÉÆw2o#¸¥'ãzEñú¤"L|ÓŸuÔÛp¸ƒ®wKhZæ!ݧÐÎ9w­!Y,tn£ô„£uPŒ|Ñç¹ô²4çõÌkI5|>úD/½ÏlLý0£.ZYó'¬›PnNomL•Ý€\œÑ;£80ÅY¹N÷³éHcæÇ^ÑÐÄ8î&œÜ˜æU¶ÈîaáòûïÛÓ±Š»ùt:R@ùØ`Ø÷äÜs:5+OT´ŸÓ IJTƒ…F‚Z(„ fj“eíF´Ã ï&‰(x„;™ç¬#‘OŠ4×ñЙhcšê½Ž¥1²Ã{ø2¶a½K3ŒµžHkXÚY L{¢wia¨Ä˜bò49$l‘rÈÁjeµ­ƒgÛ!Zc&œJÁØE'´\ÕCJid§ÃDÍì¨ã˜Ý^È x<І¢š§,õþ_k‰_•e´š1¾ëôÉ<øÚEIc”Mø:ÞŽè½–¿Š¬&ýJ§/]ÓÂS˜açsžkÒ:YSÛ1†Ý=´ã'ûSCoçò­ ’h#k(ÿºKÑVÃÑU¤¯¤>ê ¯É·7ª¨Çžæ‹€¿`q¾‚ìÙª@ümžÙxãü‰ÏJÃœ$ìFŠç™W²¨çá^"èW”>³A"{O×´‰7˜‹ƒ|'ÆéWfœg³lLkV#Ôº ãã 1©rœBo™Öw…b ¬‰¸’aZ+;$ªñãë0$/óEfsh«¡Z,߉¤þJ¥%J­Åɨ Ù—¼ð%JÌ8‚íRh:®p‘kÉò1ª™äÀž x?–iØf3Ωó:罊v¸<{©šQ£ß#{¤J ‘µ£ðÙ_ìúÙCú5€SÜ#ï a_SiªŠxRÏ"%[§5GѪ&Hwà'%ÝW¹ºÁ ñN>n‘IØö½u¨(5ýB8¾Ö´tγr®¢È›äm%\Æë.ÅÛuôK.Žo çššÓô}GA§MI‡(%ÒÐÉz’ëþ([è ü˜:°A’ùØÿËŒ¨5m5ÎÙmfdŠö©S\‚Ä<$îKm<ã«‘˜vͪç… mR\úƶê®øõ¼,ò!äxê2šw¬„Fw¨Fa±ö[D‰ð»ëÿv‚‰ u,Éïo4œ¨/zˆ#®!YXn2RÊâ °¥nÀÇ‘@©IˆÕ!µÔA*cÎ0Ö1Ù Ê·ƒdz’ˆcµÃqt‹,†XÝhî95f6uú ¥bÊúÆLœ©X"ÞSc¦a}L¯ŽÚ«Ä ñ„£ùD­âÓœÏú¹NÝ©ÞÞhj5‹íQ·c䎅– Ô—1šc”‡˜ïwC €‹$eTà#¬9VS,2ïÐͤèxÛÌâ{«Ð ŸÙh¡þÈÎswZ#$=&Ù:Îäõ¶©i÷,¥ÒJ¹NµÊÖXDÒÓÓr×hèÂXC‹aÍjµËˆ¿©·¼­Ëé­4Gf¹Wy\´ÎuKÈ hß&=½¥å‚t fÑä¬g­!ÝTOšrí ÚÇùŒ&a1ÊòŒFe¥ã©×.U¹3„ßÚX¨qü-غÈMÚb‚ï0]ÍÛÁ\…Õës›€;›gõ±ƒÔo¦µÙ,/ó&{T¨Y›= >››ÙW•š8å|<‚¥À7Ò&ÀstÖmsA$Ú„sŠg‹™î‡U˜šÙùÆT‘lABQX´m(êa¤~v“V8z!ºÈÌh[gãrtÀiÉÌÃz|h“öÂI]uNú {¥Ì µIï¢*šÚôð¾YI“±ÌC¼Ë[›×Á‰Íë¯CªGj·]yäg¾ÐQ{•,ÜôÆv|ÓF<0M“|qóafŠùd 0s45mä…†ÅûiMч_ÿþÔå͇Ïnd›Hpÿp2E^…²¤º χ6m\Fß/h>ƈÿË›j9 ï3ºÏ€üÐv²#›êšs"ò+ñfˆdï8` „3öMQ&ŽÑE©¦ÀÇ…p¥³D„eG§$íLR΄6DnÒÆ^q]1/ò «|JŸ|)b4ŸÝZ¡'Œ9çeCßC‹\ tºcõ:¼ûa剧5gC´F;,Y¿Çòä ïX¢q‡ùI‹ƒ’)‰ÁÕ‘Ÿ™:Mô÷FÆ9f€‰Å\,ÇeÂ2n“}Ðn…ÈÌU©ãJ`è"#í«´©69å£Þssž=‘N“çö0²å¯ûÅ·Á þÈxÙÓþÚšnDØÉÀÉ¡õ„ŠÆ;UéqÜÂƪ½Semn³_ˆKˆTâ4¸úm0×Á^Á¬pÛÀ²Á9-ÐQ‡Ž;6}óØ934à["€Î‰D/ŲšLH@š ÆÄæ¦vªž‰ç`þš]Í“£©7rŽŽ€]=‰FmÇò3‚Þ‰p ÏÙKlËLÝFŸ5yS¯)zZÕ"#ôQ*@«h꘴©rˆ‰= ÍTYxnØ'C ÑSvÄÕ–jâsé¾K\RÃ2/<ÊÖ½¶Žh²åÂœöÞ¦Úê µ ÄG ô…¬We\Àhþ¡`j®¸µ)ÈX:Fˆíß ¦=6ãU;l!Ô˜œÑžÆÄ´›u,ʸ¶aï§^)z)1Ÿ·tVÐ&š† É_ÃV,³…QcGíçÔ~‰©ãS™ZgÝÉrȳÕ_ž »ó&©@pÎ'b5,0éâÈâKĘåã‡j[8¤mb¸D­{‡æÚà}w‰vÆÑ›Žo³ÿCž\*ñå؇v4‹1GÒ *¹XDƒYË„¶ø"N$˜7ѹ÷ˆÈãÍ°• D®i•ªÚ¶¶ ÚØìœâþÓõà´bê`¾Ø`b·l9C8†ˆlºàH¬šô9yhrÙwÕ0B>tny.Rïï"Â;9©ŽL@<ÓF aEì¢ ¢Í˽•X—[ö™H·Fè"íÎuXœgŸwq_.¼¹;Ï|$¢e:ÏDô­ê÷©³-÷¿ëÀ¢ïže&ÁþDšDƒ9Æ)ûyÄ€Äd¨»c´†÷a.œ.,Íf,­ßþíi›á¤Ú( dŒ;r¢%ƒ×këT‚Á7á$¼Jΰ£gÚ‹˜­æéµJË¥_…h§šÆGó2'Ñ\àQÇ| w€Ž‚ÄÚ°ÚË0S>ï.i%·¡Úkúõ5«][Øwõ:z¸Ø²I :»˜£ ]]gƒ(|;b’jîh Q‘´ˆäIH諶ržg˜qœ ¡ºv†dwºtvÅŽøË‘žª„ǧIp.{2õ§Í‘C iϼN¤WÂ@½o“I£ü%OÜÌ_#˜Ž…µMÍðgCú:©›énºê¾ŒS™'I/+çì(f\ÌËΚ Ã|g“õ¼G1önêAG}Óõiäå|c0|Kt'†%Út]«6±ö^&{ ·¬ÞwVMëû‡_ÿø+qúƒL éÃt4…$iU«ìý]Ë0v—€[™Áµëÿy_‚D•wRﺡ+In–knœV$Ùœ¼@‰¢/“Yy¯¢ì¼B~k„‰Wª°'ÔM6åܯÂJpÐLgܼӒ',o¦ajÄ‚É9ÃÄ{ZRÈWؽ~Ï_Ûðx†•yXr6 áß‚BtQǹҪ©XUÀ|Xiéj ö¤Ë‘ ÅaP·ò"ží_…ºdl4‚ ¸ùÐ,ÓÌA™¡.Ú1’¶N%’ ¾&±åv®Qq‰ -·D"zI£FªG¯ÞñF›Ï‚7 1šˆ== ŸµR3¦ô_!Bá)vÍm<¾Ä=&žŽvÀ îò\ÊxÑHÎÉhÁA¨¶q(PÈÐ4š†ÙC?Ìhfм'A‹ô ÝûÀ  vK|!v1Ü’€q¡¢Î…¦É…3í{Í0Aû€Wö™È`uGô¬ÇzØ‘˜ND&'Í)ÉÉ(ð胪4ð9á"߶~C]ýÆ$ £/Fæf^ ó2O¿QTÊŽYt<ðºÃ ¾÷T0e˜@«|ßGpXmª˜‰äÒiS\9•BÓ´Ù¸¥A:Æ œLÒ ±‡AjòIôç£ÉPål-¨mR8S˜éYF¶*%òÁáÞœþèÜðŽ¥Ìã§ñ¥­M¤Ábša?£JX]ˆÖÖ°ß0ä0U¹ØC«³cq¼˜ºãÄŠ|fh±¤…mù¾—VëÇ/%œ£ž(p†ðíˆ=A”½jeLML=6(ò²Ts,ὟۤÝÊB†ÏmˆÊb4PåX‘x@*©ÌLhA5K¡¥‰ÇÅW@ì7f2GÖú;8¼& ¯BS"»ž—0wWzá=á=V4õœþJi £×N®Æ6«©"Ù:ÙßZ‰¤FdHrÐ’j%oÇ5v>4¾?öMlÿC¸ ’Á´KÍY7£vÏ[¨|£…ÒåÄç–äú .ÞÙ½*ò:v­¡²«!'ó®õ¨ŠŸÎN-«-š ñì$U·%;Nk1+ÛÂ¥CíF7f^G¬#q¡­’-˜ŠÍr$«yñ"~çëé‹T)›}„åFìfs¦èî¡žÐÒ-jlwËÓÀÌ83Å#L£^©º¢¡^~L=Û(ª bÚ’c›Œ£ºŒ{'Ý–ÈN´ž'R”›¬~ÐÄJ+ÿ½ε.lj¶‘Â5ƒ+jžäÆÀ;LV¶Á:vxSëjå•ŠÃìø¦ª=iº®eSÕ[¨×8¦Ë¦U™¾ßÚŒP…gñÛbñ©á EŽ¢:íTX1ý».nê ²e–k#ÍÎôààꄲ#ârZ$ú`’ÉHOòô&–„QŽEš¤„ñZãðŒaE)ç´òõ4¢­ž²ôy†àìQgáž13ðÿ+àóBÚìX1>Mˆò<ˆbåH,ìvAkJp/~W²ÿ,rÒÑfÑ+EàZFê–¢ÌÑ£¦QcÑ…¤&¢Ož·…’=•$ëiìAG„ÅE¥€Àœˆ Üó´“O8"OL¢5Ï—]›«O9â:|¾å{2Ç8+œ¾.ï›T ²åœ¢“Ê!–…Ûž“ £¨ÝêIFl8ý¶PÞöK3›^80•²¨5CPDƒ óãý.¯Ïøkö7ßn›xž}1²4°“]$-~ç#?wÉ5÷’䮇€¾BÖôœ,àröyvHK§¢Lù®çb÷¼Íù˜w…ìÍÈyÑäŒ\¬ÅúÇ_T@uŽÞq øÏ®ñìïˆm-jŽX”^ ¸xÑm%N>ò í»¹Hsz³ÃM†.Hw!ϸ£$¾&¢ê4š^Àmœª]ÀÁáM>äc/öx,aIÄAE¸û²,€$©$Ï¿Ø)11“ü/Ãÿ\ʯißÑ°"Ä”"¾èû¢(­— I"‡’Ž¥jýZ>â¨g~Ú!д@B?ìžW€“‘a-”²i-}°@SÄ+®ŠÜ2¥dàÞPðÝX6ä¨WýQ›ª6²ÈÚ¨£I¦ê„v¾ nˆs¤ d»Vk§: eA†tú©H`Ùßkÿ“ F€´W6^ªˆÚjŽˆ’‹ƒ| I´ÞÇy™\‹ÕÒ¢;;PaÁ:áY)Ä´»£Í¶æ|ˆ$î@cÁ?Š69 /Ïôt·È‡ _‘=Ñy\=ŽÔ`WÄ¥°3³(…õÓð<,äÓ,þŒÍÍ™Aäˆk*’*IDªtíÜ°ʼ­žbæ ÑÖ-B­ë¾fÿnQ¢ßSý.(ÔËáHk11ˆô<¦žc–¶®Š±ÈÕi‰6UkU§Eá Sµ#’q¯í–L‰'˜ç”$.„¢J}‡ß‡ð;»]µ‹Ø@D m1œ“})!GGÁ+SI² úiÕ¤«ÁY¶)\HÒLŠÎ9/í$Áî´´ø!ǯ}ÏÄŒtqüÎ|ƒ(ºžêIJ©âZö úS¾‰Xg™[‰NqšYP÷IÛ葦8‡˜C%C¬ 6sQ¯j}OÃ#†Ma†¡°“¦6´Óú,Ob7®¸9ÀªzŒ$“w£å\6‹Þ$’jkÑò OiPY¹%êüÈpIº fæ¿ÝÂaM‰ u”‹ô;‡–{i\»v(;µCª+$: Å;“[²ü†m=¢Mv(Gì)‹ü5ï+šæ½F´ù¶)†ÂvBb¡ÖÛY0‚\…‘ˆr¤É•8” }Å@è560°úù4q_ù¼+cÝ—i'ŽHhVn'¸l]wÎÝI¨Fú5 ¨5Rñòr_š`†ÓŠSÊÂå„ ‹Æ- €æiÚœÅ;¢ÇªÝfˆYR®eÛa€IŸ§¨Öò‘ ¥¥ àÅc¸u9ß%¦Qú˜ÂôR´#¾*K÷ÉÙi~mÇó”À[3£$Êôx`I*–†ízhS‚Ûó ¥°wV%/ƒÈ³m^Â4zž›dW”ó9õ=-dËs!û¤Å±–JúA°hÿšŒ½Î>úJ8'9ˆŽ!W "‘¥‰dÊf4þ@‡,+îŸïmâly„ÈhLÎ{´L,°Mdób~îaTèñŽa«-Íêª#¤‹S%phÓÊ}%°ÅЀÔ?BÙ굓tïEËÞ…ŒգĆ*âG€/Œ5äÍX|`-ç;s pƒQ:ÆР€°KâIKk›©ñŽã!J ¿;ibPë«IvO#€_N2ÇXˆŽÿ˜¦O#Þf©H‰1fÎ0}hïŠ$·Ë;–]¦pý¹Ñ¸-€Ö=€Õ·H¢ªÁ¦ÖËq9§…V´ÝÏò-ÚÖGÂà¬%WˆÉ_ÓȵájÎ3ïîœÓ= Gç˜ûîFk¿Ç[Ïu]39äStÓÜâE׈sŽÜ‚Û'ˆï>î‰CÄX·¶ü›É'’N3>üLn\›"±u$m„U¼ñ"3׉€ Œ/M›ZuµPm/'‹]o1;=ísuXË/ñL<¯Ægiæ.Smì˜Án^YÏzª\,¦Ý@n"4¦jZ^³-dB)äI«¥SÍ·ªèŒO#¢îöœ&qþlz% Þaf„­ê,S·®§¦–215@ÝÎH‡MÎqu=7–ÂJ÷æJš&$ à£t}5ÞÔÎà[Ðþ753€1p‚•gŒi˜¸vr3שfyq3Ï:‹E ø”$ÞÀtw\mÃÒl"jGlàmè‘pÜ Šn 9ðtá×ÍðΡI(½9‘ Ü1P¾ëøñD[Ö×c¸^ƒé¼ˆ`ƒg7Y¼…O Ÿ,æ‰^D_øŸS´>™hò^Îí‰9甤wˆ4ˆØo‡é’Ã$…F”!ç°,‘å4t“m›­‰S‘–¼ØÁDh?2¨É€µS¡„)iMŠ¹ç.x†{ngœ}Ø9÷sÄÈÐ>ÖÇQ…(Cm¤“­†( ÒŽ…]x*¾{‡õEk{ßÍdx5´6á n»­í¶ iì˜æôƒõ<Ñ+¹ ¼•p$ î>c9´4²„N»üÔˆïÙ€%Ÿ¬'^ˆ`ˆ‡ì!¼½™÷Äšã„)—žb£ çÔ‰~Ì ã›¯MŒ&ýÌf€@£ ög'{ÊÎãáõomÆE÷(~wb´ÏHšÃbŠ•íë$žöSD2J[Àko¦œˆ”t™Å—7RÎ2Õ|œÙ´bnßDNRá0a…Sjª³8Öãå©%‰«:Ñ]ÂÑÛld¾™’‘rlÒ‹îÒg<¹EÒ²Bª™¶ª$¬ÖyÑSUbkq¬‹µI< ì{&0¦&nKƒø^®³Úó¼)çÝ,ìê,¬à’¥¸õTW{ï¬s€ŠÓ’v{¼˜Oó˜»lÓ3V"ÒŒÔ1jã¸%Máœ2Çdù@›Žã“¬—`\Vˆ&F®0eX1X¶M‡ó\ÏLÑŠÍó\¦BúÁžáÃïRMvÄTŒt òÅ{i/ÌJ=  ÍÍéÓ]}q3É ­›B±l34 “ ¦=fáÔÛD®xÏ’Ë G}éÕUÕÿžD*µ…h—jå͇A,‹æ?½i«]RWQöË)²5ŽÄAx*àívl­\¬æcŸ:§`pú»Úäé”Ò;Lê2°õtZ—/xõ°ê³í‚MœÂÚä¤éà …+ -xólvM>\ȇ£¬i\€½_på*΂iñç»}31ìË”Š…¾Ç èž7œ°rjGvÒ3ȼÛZŒ¼û.’2'©Ã?7‰—¸né:ì‡_ÿþ¯¬|øõ¯~­Û°@Ho:;-˜`ÂèlÊ­d—\¶,=û"š¶Ù›[ ºz´ÓhHÌrÑ´±„¤¥…K *ÆÍI.‚Œ´ ï<üz!Rn›RŽ®‹I1¤+–ºóÅyHK Ÿ÷ ¤C˜Ð¼¡§<,û$‰Õ¢EB[\0OœÏé­›ÏV|{)ˆº”C¯$}ƒ>Ïú•bâðJµïÕ{e]vYÚ€=ƒÔ´Ø‘12jçí—¶/\#\w´ ײå‘L¯%µœ$aÝÐ]%{ +!ÚÂ:É>Ñzš š3.¶yâ;ÄtÅè%Ü9ƒ>>Y)¬9ÛÕ§üóQ.§ãËa”ÊYêý®e‘üR4¨Ú*ÛÞiim#žô&Û´Xi«ÆÒk¦Ç1ó¾¡Õ›ó³±Ѷõc@ó܉q˜Ç]¹k6›”X6ÛéHÈ=~ík§[ÌìˆJ‹™ÏéÄ G?ïZÏuÆƼӃN–´S±LÃ9•¦ Š‰A…°aïÂ…?¯yÈAІÓnæÃàgsš/<‚“ô°?ÌœÔïlýñ»ÁÂ{ƪyòì™^&08Ï@­‘ôÓÅ£¥6ÍXÂFr¥§‘ ¡Ú †Z‚FÛ‘¦ô@ ]A_`ømeˆÓŸVz¨`Ïç2-)M£opØ%¶ÁÐR4´‚MÊ”â$³-E*5‡ÚeÄúŽBlºÞ˜9Iù윅¸çè"r22f˜cµ¤#Uƒ.ò|<ËŃ(÷o´ÈTÏXSì~%Ïh˜ñHïX’ªøR!I„áX7ÍVÉô"-ŸlÌ‹)§N»BÎÁãŽêÀxòtX4÷ ¬5'ÉêI;C:Ú;æÐÈ,8b xû ô”É9 |´âXÄ‚…ò#]‹oõ9 [ÿ±ç-i˜YY3õ4ñ)8a¹Øq‘7£NŸ5¨4ò#_‡ ÿqRñ0¶0±®^õ/T§ dÇ>,7“‡cm’7£4YÂwâ¯êªÅ–µ.]h LÁ +`òï!2Ž‹]`pDœšÄ¯)f.çë·_;ƒ¶(bÂæ÷Ý%-ø@Rc°f†v­ö>(ïxí[gbµXi¼"K òSmÊ cˆktGbáÄ=¬lï#¶r£j¶é¥VCºÔ1¥ S€4!,ô>"ùhÇ fÜÂÖK̉ÀÜ„ÑK˜M¶™Ã<â¨AJUcöEÇSjÙ²Óh|úåqwIâ"B„—‚`g©Í”Ÿìi…lî11ôU_ìY•÷µòF’؆N"Žmx ‹ó¾¢ï;ª½ñ“–>1‰|lÕý·QÊßBɺ`dë˜bJRïª ›ˆì¾2à•°0uÌ‘,ÛóJ®AàéëK¸nV¾Ù*x¯ ç¼;ub)Âj$ý"âçÑJX»—–×{œ£Åîxü(º«éL„ÛŒÑ1ž×BQe–“º5â¬2/ö»@ÿ.bÿÒ€1…sÍyxlZ,±ÅD¹TUDPBOõaj#Ò¤ù®’ë˜G‚¯ Ü%]ó.a3EIñë´-`E;ÈíÁ’ôžçì Òn«Â:é ­îÙS-ýiÙI2쀂H²õœç&XCÃã=ø`·ìÚ(œY^•´ìcú–‡¬IÙìw"ö牤àÇݚí±a^t>ZxNzrf1oýÇ?1Ef–¸P«–Ã,Ù&©@ã@9šëÈÒy$Ç¥° _qï·Y'/mRkR šÔR¢ aÿ‰¡¾§<‹]Ñ+é•#ßO<¯8â*§E¤F½]é ;j&Êìi>ÃAwÏM3B2 WKý–ù°CÊIqÆÒyäöØ0&"ˆsSñá¡)‘V6É "Ñ ïÒå©áZ3ñ‹+M×Gt€/"ôAŽØš€mI—ƒE4X^DÌ–.½“j»ÓVÉÕeÁ70:âŒÁÔ© ‚F!sP°‘`û^³WiN/8"˱ì‰Ù\g#vŸöˆy GJN]¼-ÃùiÖûòÚ(ÍàvËÛÊ›€å{ÉÑ°Q±D2ŸÖóŽŽÂèÿ€²¿kÌ@`[.žejL¢Zô±ro¸>毥bsÜûÛ–]jÙÙªþ¤rÔðzrdo²p•#ËÀÞÇ5À $• §š.599í©w˾é€5ìá„s©p—óäÈ~àëbl0gM¿n¥—Gx}ÝÁRa1of´S›8€YbK¥+ÄΉåœå¥h! w纷Aˆ‘h¸Èh ¦™“°Ã¬EànxM×4Ä‘ak7ãWXì½ÛÐN¢W QSà”%ÕlØÜÂtdt’…ž£v¡ørêäšyVëDÈÜe £>äpRAð-[.ƒÒMS€Úœ‚ehðt•aŠŒ‚iýˆ£­ï!ñ²#I žv— Ò§½¦;yäþ”¤·U„-—7ÈÐís‚¾Ö’H7-Úár Ì&Úl–ý¶‡ ßk×mê¶gZi]ƒÑ^qâëì4V÷‘ ’„‘q-}|ü]´Œr½ME׌°~îÚ‰èHøˆ(vïZ6T­[4ÙÛjj`ˆñÏ?ÌE:rc‡r–)6 `†ãÐt_/ 3Dy~Ü“U÷À¦Lîh¿–$b+ÔYG~©^;nÇ̆`VDOË5åx ?y#îb×yGô?èhuòMË÷™LÖ¶’8f¡›ƒ¾(†æ¸´êéH˜Š‘6EÖzÀ1¤­ ÔaÕ9¾±hª6O·^&‚ݯ8g,-ßÞ¦îJÁØ1k» ;ÇY&zð¨¥5Ú¦<šùð¼T’:eyð ÓÉMo³.'nc‘í›:%áH)!ÁÌó@ –ô,¨{Ô{ `¿*³X¨F,!,IŸ'jØ^žì¹C-憦0©6ÝÐûU“úqåíÊH2ú[iT8å£VhÝ1/'Š)ÒNiîÀ/5j·m Ñ™W>Ø°DÍh.+|FôgS‘Xù SﶾÔ1¾~Tæz¦‹«±ÒD|L‹ö³;Òrü;:_ÆÞŸÁíéõÕ„ð<_Øê­©)é¾Ð¦Y[UòZ&ÍtýÞm7Í"yÜ+ÎZ cíèaÚ†¨$·Ð£¥q§ ‡c?[ÀÂYÞuP›ehXÔLM=Vsu=[cäb¤#!:£–4ãã4ÎÙ¢á6xèŸß$¹pI¶Ížæu­¡pG—º"×Ò!üØIºO 6=1ôm†¸ ]ˆÈ­ Ž[á »m1e˜™°g}n³˜·œI’†Âsè#HB7“6[Œàø’ÏÛðÀ«9S¥ V±3›¦¯Ó$\“­€4) Œ“¢« Ú%ç5"±”ÎI©*#³@c€/sÅÕa™6ƒ1 &B@‰j1†ïÄgN4æ¿åì¦ÁW®LM¡gfn]%Âp7 ”C3Âf’óÔrhÑhRG"¦OL† [¬ !/Õ»Ì4 2 ?’Bk‘&†OÚ"˜€Èœ¥”ØÌ°µvÏ¿þñ×bKÀ1ðaYw2}~Ö2ÖGª,“ƒ˜¬&=á’î$t5jáÙ„µ•—B³¿`y*h‡4Ëo–eºd{v° Ðö|=ûðãT®ö¥ð‚g$Ž‚è~1á­·U“z1¦ü½¦©s  YÚ a³þ.®ŽÛ+>ä©Ô7“F³zmÛy:ê X9ïšz2­ùNÁu UÍ8ïœ"ï%‡'ßCª/ ðP|šqp-íµ XÆÆÇ…_ùÊWÄg¾†®P#xXš"Ñ›‰™x™26ÿ“|96:vh‘žÅêÊM¯ÁÌäãˆL`øLrm:ÊË׉¯š)VT»2“ç!¦ ‰Üìùq—7häÐøÅiÜÜb…¡»€]o3Þ0Ê 5óª*hF˜x7L÷Kî¶#ø4Mëi¶¦Å÷ƒFÇòct ÁcfŠ8™Ï‚Hn0ˆÏ:æyüŽú!E± –â1|q<¹³lI»Ì´ZĦ¥£¢F  hTñ1CÎó¿â‘Cœ«f’Ú¯P¼ ‰®šÐ2Aˆ8(Òt9‰èÉ`OM)GÅÔ$æ|w=Ò=Æ7*ÔdŠHiªg´Åžö%ÌPnESGû®‘çy¸È’0®›œÔÚàòè˜@døˆM¦˜h7{=U‹5µ€IMw {?¨ôœ¡ éi))–£‚H\P“–ùƒ: Ú]J‹Q¹¿öáG¤§ö}ÎæÌæe·ô¢¥ æçÊy.Öp$’ôЈEûë!â]s‚ 5—Ȉ$„غë¾ì‰ßµY ÚzTÎçY¾˜™E”c.&z1ˆSšž¾˜UôµXÿ"ùB‡ŒcÙZd ê²{•° sgD¬Ô‚à 2{Çq¶Xò,ÑjR´´½õìVî#›ˆ%Á9¯ Ɉ4ÑY¿qêLá¨Ô:«,‘çè$ªš ®1ÇyAªÍÌ¡“–x-›Ñ·ÌÍ é*êù<{E‹" ÒBX€O;‡ìO…ý‘wbUáU[( ¡]9•[`Ù°$92 nó -@Ô¨ŒPsåÿfÑiºjw3 ß)©‘¿o9M o>j`0èß]SlËRç¹ì…&\†§×j@">‰ š*´ú»à9Ô¥ùþÚœJ(dJÞ¬u3FT$­“¬nÈÂ>†iƒ0­ob“íc܇®ç&ëµ\¥ù‡ 9â|EÛÛˆÁ,'¤¶Ìäøÿ"ó†«ë“ˆ0É&scd\"‰9*(Ö—7Õ§Í'öu^ZÒUÖ+Ô"HÇç6ZQ7zJÊ>€‘M)5o¡ÒLE~_¢ŒGmŸcBûQhjᶓScôCã·ºðÁ•S¾r7ÆÅ—Oˆ–ݦu$™|ŸÙ òÊ1ú™Õ´4厊BL Õ¬Bæ¤>¯¢·@ÇEæDÄfã6(vïl¶R׺è.¯eÛ9Ûyv?^¨âœm‘DA†ðµ$Ú"ø hX\Ò##K‹›ekH"W¼ÂDËü…Í9²;"Ý~‰lÎkÓDuÎâ[ø–ùœ¹PéŸllƒoãF´ nÀÒ˜GyoQÌCÆŸ¿²å—ú­ìÎI’ÁÈp þP1‘æá-të=Óºý‘-D‰r‘õðÜV6mëfN(Ïvñ{Ñ_Ì¿æ±-ªþn®käšõ+êå­ë7¯?¿~Ãn÷!SõsÎfOo]¿}T ] b’ç|ÏÖõ»×o]Ïî´·L^¨îVŽà®éhÎÐH°*'¶‹[×Òëè]úÝ”¨ö‡Á_»þ”*«÷ü:i«ì‰H‹#zIRX„½‰ª·Fÿc£ÓvÃ’®ã¼·u}ëzp$¹“¿Î!œ‘„!]¬?ØZ½C¯ÕÔ”Ví¯…ª©ZY³ó[ë·mÂã¼¢æùèû’3η¶¢«À»[/XXx¦šBõ²ßªŸáÇ¡WÙÚ6Ì¢Çâé-8³ÏqL: eg(ÀˆŽŽm© so"ýy‰ØË›l}×´ñ$à}GÝÁkÁfZ\k{œøÔnѶQë×pã#G¿Ätš½4¹Ê±êåðÉ—"ÇQ «Ib>ÃÔ‰¶~£kÀÏ©b}úã&¨µQó^W“Ä»ç ¡Ô²zp’É2;(ǹð8Ïì§Æ£Å9Œ(º˜#c„oÂS–boÙó´9ƒe1“áûŽ +¦R½ÎA1mr*ýn§Ôªi€={ߘsŠ$¡ÇoÙWö=ü¶' ÊnåP ùTËúò– Ü1…7Z„šKbFeF³õ)¢‡ ·¡K¢ A 3é2U¶à"ÚœU®Æœyµ1cÑvC€DÓÚ‚C*ƒabƒA÷Õ#Äkæ´7䜤Ò/À)ßP¿÷‘¸VTÇzŠ4`‡·T'uõ^ 5êp˜sv¡¶âDŽ0~GìPz u§?jI«¯ÄÓÙ&$§;"Æ`zãÖH<씤ñ Mî'9KÒ%GzS—jöbÈø{Äch`kLßç9œ¶Ãn¢F$_a¨ŸÝ"Qa-_yL½×µ´˜uÛ)·3EÄ Í¬¹Kv¾F}C““½lŸà A4sX€£Ý‰í—Ùz|^C‚AzA¿&ž¶¤z™ŠE§3á(²œqþ†0Þ±äalmëNr_MR×+Ï€á^3N&Œûfvæ3 £Ýގ椯HÖUÍ4Øß ,¤&i‘aݺ„•b‡÷­¢¿ › a¿ºl‘4ï7çó’θ]˜6$‘8×åJ'©³]æª ûÖUºu¡¸ûzÍM‡À€ÕЋ!´H§søûYepþÈ>à~â±LiÒ;ϤUœˆ»¡¦{: “îs7¦Öö^Ź÷FÆIÉÃ䊤¯M´Ó·Íö¶r /R s¤&peËìiUæÖqŒ#âC¤ßwŠò8YÖzìÿHƒÂ=Ä„ˆéøòw™Å.œ/&« ÷ Q½±º‡ÀC®4á˜âûø öÊ SS¢û³oàE’žë¶Ìå*È诤màÔ2»;œOC’Àc¬Nšª£ž‹'ª¥ÝéÆ¿‰qÚ3ÐV›Ž— &{/Hi@Ÿ°µ]ݯØýŠç•šgOäYÞ[ðv‰óÚ–´JN%Öç÷ÇJ¹UA7]§µ¡ŽG’—¸,C•ŠóöŠXH ³‚4u³ÀLºÍ0™‹íB´%ÆŠM;qbÙ²ÔO°ØLw¼#Ìmjf?1;`*g°Göb¦uƒØüRÏ÷˜bT Ž_Yóí=ö„ãß&U¸êÈfèî[Éæ–aqNx°ä ^ÍÂ/7Ôà¼åx/C’Í º<Ÿa®öiö$X xæNƒX{„a›y w¡,·™˜\ѼªF²\x&©Êe°Šå Tf1g÷KÛ"†ªî(?Áìí¶j3Ò‘¶ƒ•~‹ŠÕèì¤Câ`‘_ͨ;+¨œ KM•P¯­ºñ;ˆs§íU¶²B“2Q(O9«Œ‡9v³Êˆ{³ˆrìÏü©ªHP‹QUîRíI»ãä]1·,Uï›Í>¿?‹W€ÁáÍ{«U}–°A'?é!.SU!uÔû ÜÒÍ.ÖWµž`KaâÑ%KmÔI[æ½ch!ZÕq {Ôˆ–/ ì´r§ÂKÿAwY˯¸SÅ@‘ ÜÝÞfŒa<Zd\³«=Z%B²Î¸ÖW°Ú>Ðaƒåû›NȲ%vnsÕž´Už‰¼ŽP'ΓL™ÆZV¥UàYßls=‘yn̤cP°Ø+¹NHfÙC8Qfã/bëDâ´ê+v¹é1Tžéèn}<sMÂüyªa‘§£áìK? º[VnµMw³K‚s›dúºV´•Z(rU,;´${hÐ]gpMb´»‘΋½OàMtÍ4¢w.Q§ È‘…,_Å3ïcîÒæ.Å•›‰þüÃ¥æ­ëîlâR¹hˆ¥—‡ N³â±/>º#´ºóx‹ž £¿°—ãÕtÀaÍ_WÁKYFežH9Û²º«ìžZ/Ôn8³Û|m’ à"“9ˆE P.ØÁÃHÄ`nól®šºÍFf`²¹}\OÚ0{?‡2µkãÞSBÖœvM´’ ¢E’d õˆáÍrבªKí_³_ÚfÌv³ ÞmûHâÈô=ÞŠo0×EUŒ/Ûâð3‘JS‘c-[ìºÃ[ð–Íê¬ÞÃ(ÄΠuNÃeb“"è%vW•HTθl´Ò³ü›F& GÀ (ÜÀˆ±Kòërõ*„Þú’øT«^ÇYmAëéŸRàxTˆèyH s=”„5ìMéûŸJ³A=êtý>„> à@øH@.6ggUfP©p6r)áUÕ|å¾Yy.'N‰@Ü­ÄFb‹%1­öu:ßÖ±#ã ö™ÎVU·$<Ó;J‹yczyðè§iÙd à'æãoÄ6€ÙõY>ŒmÐpŠMÚ“ E–SÿïyŽÉêqŽ“œï¢Zäq½:é íºV¾/iš546éõª¼®_â\x Þ£¢:Dw†€ÕuîàÍž\.†¹§?Â93­ŽlÖ»…µCqÞ ââ³.Ä;l.ÝÚždžØ5ÍEáqf?@ïžKöº ’ÈóÜw¹Àw¢¹WâˆÎ^GÓÌQAò´ö\÷L%lª–Ü‘ûš>§ÿ]ߌ; ‘¡†_Œ¶Ê“B:1Bþ[ZlŽòl1Q”<%iÝ׃‘GÂÝG 8¡–Ö•ºO:r7ý»{ªÄvO]CT¬Ð ÎSž¿NKÙÃ5Ñç ÁB¢›:­ ª©Á¢q©ÀVc¦Ø‹–ʶ£{9à) O.lÙt®¶ØÝ燈kƒ­ÕÊc3}ÒÖ½+¤i¦tU5KLë=P|“è!DÞîžìK¶«è‚ôÝPluG¦ÐÙç>Nê!t{[ÂVñ:½‡|,R}¦€Î:iß!ýl)Î êžÕÔ>dZ³<ÛÃÞ«á¤p'z®Ú‘·+MÐö»B&´nêFçnºnë<~ëŒ4ú]vŽCuƾ‚RÞëP>ÚR¯¯eîp“† CëTpf¡nNŒ7–j-T‚×»¹4½¦úúf½è.Ù –?{r‚Ã=Œ¹G6êHofwLB T OE7SË]ÓÛÜæZä,FBðžhÀ¶ìh岾ʮ„³o³H];èÀ¹üTSte›À[k:b<¾ Qj[‰Ñ›fæœ^T6q²¢'JM"TXN$Ä€iƒÂÑ(ÉÉËÎx:ãSëñ)ÏzÖN»›žeD¼“4Pnæ!)DŽy¦£û`Të Ó+ŒEL†Öñ®£oå%«žö”ö"râX¶EØ2BŸÄ½îü²nà–û†ç­5†ëÊ Jn'˜€³»FÆì\ÞÒîÅ<_ ´íf9ŸD?ç3[‘$0$Ѓ“ñ7?À Lxÿá©Y"tði*ñ‰!éÏj¬OTp>槨¬5šjêŸæ,Žö¯o!Ö¡š™7æg05Zíò6{·hoO,¥á™m£N·¶‚¨õY<„' ´ÊΞş±\²ÿNï{ÅçóËœ†- TáÑñð„[AX KôIOö`ZaÌyº;ëöŒ `Œ ÷üM ¦mzR°ù ]´(€o’=·¥£Š qÿ+îàCc•öÓˆôÎeÕ«Z7Éãß':â#h︚ݤJ–¦V-œi¤btÖ–º×–åÜÆo…ÕþªåÝ7îDo­¯ìwñGëh49a >¡‡ûMýéäÓžÌ9´k‘=TpÜP»*>’8OË‚Dº6z9:|µ’×Ò×ýq. ;„y¬ÒŸ§/ó‘Ñßç”å8ÝéiYÓË3ß·`™Œb!0i‹6Ür±õàImÕjì¿ïâ]ëÑß›.ÆÌoC“ /GÍ€~kúuºä™å¼&Ñ….GçÛ#¶DºO0ÉQ[ß‚ý™Öß"¯‚{(¾‹“ü¾V¥aÜx WHéW ²ŠÑ(ŠWp²€Ø0·¢\uÖ2‘pŠƒ}Þ¢Åë¨"¥zº;þV¾Hv,€RËu ~ËÈÚx'lX–yº(–áR!D÷8t\’†=HôTUÕ½^Gü>ç2Èà怆]›¢ãIV‚DJ°X*Y±—&ÿ£þÞ[Q?8hpÑ’)DNyÎÕttÇxTزû ¤á¥²‰ãìñ® >aéŒPÇ)àÏ×ñ2õ<lºõ}®G€ù 1ËgZypS’wÝ6€äß²‚ùÊ9GËÄ™8¨ÛyˆG¸~óú~äèè-Ÿ´Š¸Hºq à{vôÌìsÛ–1SþÏ>·ñS´½8鬂ҹ‡Oß6¾׿„ÿs¸gªQüüG"k#³û½¼cOhrÀäèv>R~©Uï ~ äï…¢}×®Ôþ>ñ±ƒàÓ™“ä$m“ºØŽ¦qØ0RŠeîgSÎe˜¶N0‡&{Iói{{.ŸšÌ;„ ¬ÜGŒ´ìõH:vM{e4-œ$™Àˆd&úàGm"_Þ%¦«ùòa5aT‘F 3ÕÃXÌïÐþ=ië|œÕØ6â)*îÀ*U‰²(6ñì+½Ég ¤ÓÒNþ®Ó2HÅ` Lû2ÏtÜå>ÊÜÁ‚‹Ü¹´·å¥uõƒ4섲÷!È!H-,P¸7z‚r±6ëi‹Ð˃½õ*ó Åô£ùdh3ëš„î|{;†u¢£yè²Uµ(üiæ_·ÌtøvÚ`ëî±ê&£OÜ7 oYƒCÖ›Ëä ŸÝ‚3†rìó™©&YÜŒwì_w%-vô'܊ϯ{ 2è4ðüÍêŒbðFjÖ7äË-;Ærœ~sÍþƒÑ“ Eh ¨¸F[¦ðBÝA˜}vãõ9í¯vÇd[o=zÞ•œx&°]‘ŽbÄDdèF¾ám%{ßÒÀi¬‚èñ®ãPk,Ì0»«ššóŽÐb­¨T»Ù ·• a(4u*!ž~ú%mÜuDL¯¨Ýë‰?°³]¦†^éÛ tµ¶¾ ߈•1KGp©±‹ÖB™¡qòá‡q! Ëïû* ‰Gìi¦“º;ÆfmÆÅ<ÆÃŽ´v³dM T< ¹ÌDÅOhÑXÖur^rŽK<39ROt½›%Ó-ÂÑßÖŽöI=>ËdHÍà'©¶É·Û"©1æ\mÂlÛÃì9ž9êéb4þ‰@ƒ½Mxð;2‰÷åp¼ ý•*yOøX;ºÝÿf1tà„äSÎ>üzy¼ÓzÄ g¦õ`ŒmË ]_~s‰ìK@vfsKŸ6‘ïqwüµO»cÕ´VInán)ÒN«ÂPÆ¢Ððéο«_$§ŽÃ¿àªlv{P@Æ¡X¤Ý*Lg‰Ž”ã>³%—Z( $˜Æä.ò¾¯Ùap8F2Àä" .ð5Ž”üÁ‡õ}Œ¯m/ä–P©A×\Ñôh3•¯¡¥8Äæ¼³5RÂÆ|Ð]F4 ™f«$ìôSòÀÅyÍ$>LúßÌ9ÊœªãÑ šuXm‡mjRË,“­På6£1®1mòp¹Ëóˆöè[ÜŠ‚ún ®°žÃü»`é¨âÓk`},y)ÂÆÊ Ž UÒ$ÿFhk–Cøèæ–é}CÔГ?iVSàèŒ$­o¶¤ýο!jèË O+&€’»—¬aLwg&c£#àˆM2}€EÀR–ùOò(|}Î2“‚Ik>„Á.”_ô8%=-{H«¼§¾o©XâI涊ìu3u9eKñKnÊÄNŸeÎ*ñwL8B‡ ö5„v9mKl"â72Ïá~³çÍ*{¢ê Äóo$eçœ~¸>ÉÇÝ©pìw'8™Ù'ßeƒ¸š’ª‚“LcûÎáŸ|>”›[»Eö¨Œ-;V¨IHÆÎi ·CaìaÓ iÍåÊÆ´æےچג„!¤>NyÀ4ØNôJꛕ`ó¿KmR¥Î}>½•¾†¤`m]î#MÝ¥úþKÏí)åãL›m™m±ÞñHuË1Ñ«8aÙb7sœ¯o8ä+EY¼bêe ËèÎ×ù¤ ×y[!“ͳ*¯Å.ǯí!¤ÿ–#žú0ø²^aÒ£¼”¨nz¥cùqι¢KqFi¿ °j«¸fwZdj™ 'àYùql‡Ð7»·­ãä%L|;‰x nóSä¹ÁF0¬Ì, ?ÛkõÏ/h§tîp*@^©‰Ñ÷‘#¥¥7ÑÏ z°¯¤-c™Ïºö}žöŒä<©×s([ì†pÇ$=¶¦_Ó—=L’'Ù«ƒƒÍ½8ÒZ„j|°eA«õ<³±WײH¹¼þm¥ÀI¿ÃÄ;lé#)à2¥»îØ•ZÁ®UÒ²ÈNQÍ´ôRväJ-手ʽ‚”“«IK*{h°%Òq a¨:H1Œßßï¼oîˆ*_½­‘tÐÕN%xñ À¢L4ðö¢Õ<¡Gî¬âsŸÿòU^5¯[W£†íKÜQy=‡ŸÔ ©WãâÛ‰“®vvÂ?…êG5ÉÚ|;í-­«dÍEÖÒfórùýhó å_ðÜv± þ%-©"N™H¥ûŽé'Ûw`…ì]G&Í—ÁJò¢‡dæ÷«¬åßi½ž’*ŽÌkãd–2Û |‡DzÏà ûûÆ7qáÉc Ñ‚Oö6"Ó’-{ÖÖõ<rv¼§SN(¾õªã¬aO¸Uùž†P2äz&{ÿ2RÊÛOFê=¨W;­Kô5dؘþÕNõ7¦IE®²M}]3zÍÄ^”aô`j€bžLz8ƒq°³Í×4Êá$ß œ/öUWŒä^Ú0¿xG²â‡;>UXLûÚrð˜otš’G°jêÛé<Ç ^Äàú™H[Ë!efíøoC{qûf".»=Ðßqß È§pîÉüu²ßlK'EFSÖ~åhƒÁ.ÄÙ¿ñ©O\U5°©u̽¹µ–¤çDf:Ê=¤fÀ¦ùǃ×þØP4`±]ß‹KF$ ÷׳L„Ǻޣ\d^TÜ$v±c ê±ÚÐqGÄ›£·ä)A5UÓãí0^Î-’½çVÀfûÒÖê ¹ü©Ýÿ½’³e„ÁᘽÛÌI† I·Î["“!Œ¥AŠ²€@t–¹qØköV[ )ñ¼ÃVÍðdV{åµ~)löTŠ¾±wG á$€S2“F ɼxõmÊó(¢Ú{°Oíc±Ò·ØA,øÆ=ò¤£¢®”ŸºÊKƒ³“´ÔÆÃë´h¬è4S]œ Ÿ¼¨“W’ò)o5šßD?aéX¸YɉK>â¬M't­zÝ9_€1ô¬~ô°L˜ìó²«ÂA˜ïAÛ»Oûš{iZׂXeo„‚síñ Ú@'íó,îIÏhÄAÀÖz¡e;a®O³›|¡}Uða„ÅK«*©cdÂ!˜{ûo;ö}>t%yßé”uGF®0g×tEIǘW£hÔé³¼¦ôåô'Jߊ¡9¶Úð%¡wKs—üèÀËÝ0°®L6ƒ^X†ì×Ù°ãNßXL-¼’ng±E# UÏçƒ(ûœñåà*ˆaÇEÂÊK ÀgŸþJõGpˆ»Å®fJr=º,_ár$‘"%Ü.‰@¡ÑÒ±ŖYUöµ“q¡BçÓ{ Ö&œ˜b«ØØúÀ(O´ª©qýÝ0¯æÜÎJ+Z oŽ÷b™¶@Fåúí=eÚ1|0Ë[ïÍhö¾YŒeñþ‚,ÖïŽ*‹8ØûXœ|%U?X9-S-<W9 . ^©íi‚ƒÇJV> æÀÄAQÙÝÛ¤ì:—.Œç“†^MbpòA§—–^–ê=ŸŠ£ˆ ®=ŸãÌx‚oÛ¿šT9vE¼•Ó§Ð ô Ñ ì±×_®ªâ‘\Åú,)q."ƒªÒæ\ˆ×œwåècö=«¢,öÅÈÝÒß`us½¢õÚ#’¥hbi빟>ì´e[O›Ù[ôY¥FußXÌœ³ÈiÏ°KÐn«FHS`ÝU­•N_ÇhoèJÏ¡þ˜ZBï9gÌzŸJ™Ã"t“V‹w¿ Í\ÊYmý³=°³ØtÜkÖ1ÙN]®ZOmpÄìÔoÿ…¾uá«)gmB’ǵp)Ä´³iAÅËöRÜäÁ«Z¸™ÅæK–¶…t‚Ö6Ή6²NO‡•éfxûù½œlùkß—~½µÄ²û5¦Ÿªö¹¹ÝÞVÇÚM¾+î9É-8»{ìñ^¬T,z Ý™Èæ¥U|øR6ÓÐùŽQQÒãØšVTûÈ]unbçqì‹÷p¢9R®žŸoà!âÙJ@e„86Ýe4ÄrPïýNøý½¡ß¬z2EÍÖÑ«X±Ù ·…Dm¼¡º[ò-ê°q4ÍüÝ[œa=™†Ë5Ûô…6n‰«€éØÕBw·ôgf:U{žlå•tIõz,ZheK\%xïÈ^*U¥ Ú}mdw¦¤YÁÀÜ¡6¶Fˆ®v: 8ÅÌ‘„PûE <ݹ2±õ!âŒòím!kà å¡\ßÎXгyà=Ž‹â — 8ÀæuVff×齶]š«ñ0áq nÑ™z µ~ t= 2åQ¾d÷ú ÷p‘:˜ÎÑeUL)þç Ç!u°uW"Ìz´«Hp…ôxc #v[61HæÓçâ-t•ÝWHè$¬E ^civèWmá—œó`!ªMÏÝÇÑô³Ü=°c–Ìòs\ÕÏòf“©Ú7Ü4L=#™ƒ×ë}žfÝ—;G•‘;nS/µ“’ ËRcSºR§ŸÓ¢ÌÖȘ©ÞçRoK®ýÁš€{ö/´§¦wi¨ŽHE¢™½¡iθ¼‡,”¥îç<‹ƒ½ô&Æ-3EŒÍ»ž†³2ü –S%—fqOß4ÛiúŸ¾ß™ì:Þ9§æ›oë4Éœ° ´è.OJ½ ™~KÉàwGbÆ;b„ž9ä(aBŸv»_§ŽŽSïóêÛ‘ñ»#u$Z?ƒrÂÓ*j–‰êT[Ì…ËŽR`uå8­.ÚWÂôÇÔ½¦Û‡Ìªª\à#ºÆ½]º0”é“Ð3eâè„gívâ—-ÉSÓÖ5wtLrŸv/Æ5}ÞShP|tƒT›2Òj+à÷½¾ì.ô’;zf€Ïg‚Zú€ì!ƒ é=>yΩ19R˜åeG]pƒæž–!¾Š1üÏõ&/Bi!„\§pß _«JÁ˜C2XóFŠk¨á„ì¢#pª:+BY).}„‘xJ<â>!HeÜIß@>æÉŒ1žŽÖuï #w “ƽÏXX儉·€Ô(Ì7Ìa”£§?i'~yrsmÐJ¹öÝí¦L‚bæêiÈ´ãn}Zh%l¶§& AêHÅŒgªPýÎœ~f¢É‰@šw÷V³Y7 ßÒYè}”¾ÑõÔs#…QOÙgvNï» »J¯©rP§ß¶¦fÑ?êGs8=îHbW§íµÆxi|þ—£P3k3G<¸À¾6ßl#~²k‹µ˜œÌ­6ë¹Ë¾! ÁGÊù”Ã…rkö-ÓVÞ¸ÛV$ð&MòÈæ%çsÍU¤Ž‘.Y}« æš¼â 5j/:|÷\š„` îEÁ½O Ç7ñ >üUØáÝ9ïòÝ*{Bý+ôèPî9­¤Cc]ó‡ÅùöͼìCÅš(´þÀ§ŸÂ¹Á0Fí…“ìïí£Žƒ%bæ´º¸­ó¹õÀÂ1[Ïì&sd_,|¦®2•ývöÃOºÓt€æ„ ­Æð¸æ4Ãg€|f.û¸úÖÄ„s™n—$ÑÞ¦.mŽf¹°!ÿÖ6•ÔÀ£/ß®H§uø•ì5Ø­b[8¡C/Ëdn÷¢—äÿÕ–º =“Ÿ!I/G£CÇg,öC3Ü/LOÙݾ)Í$ï‹À°³ˆ=Ì°iÕdS,ûéw»j'=9l–kÎK‹C¦ØÅ'-ã±akÚ“àítÁÒWó2rÑïFç¦}Ýåã`fàzg­ƒ×2 ÓH˜²=DFw™éJc¡î­Ü¶»/¸Rf‚lcÜ>µ@QçíÛ‘‹PcÄmq¯Âa±kH{æÓà µÇÁ#4ú¤#›r˜Î;¶з°dì (>o™Nx°‰OaÙlYªu-iÅþ4¶ù‹×NœŸÕÀ!‘­û”3 ° ¾Û6ÌØ*qÐq®&À©·é«b>­e#ãjöpy¯?³Û ï=oy×,¯tš¡äpƒ5-B(q1Tµ—á1Lj—6ŽÝXÞ´ÏÇ.XþP6ªöÊ®³ëÜ­å|–­\ZCHÆ­ʗÙÒ¶Ð=5A†6ÆÂñÅ£Xâ®}‰)†… 뻀SI:8*p·˜Eçªó Ø£>K²øjÂN1çãæÛ "ÈúI©‡]r[9ò3jì"ÃM)íxp¾0n™]GèrÜkù#õpnãµÃ"-Ìå¾u#½¶Êi-¿YE×׋(ÁHYÖž·DÂ)nšÕ\, À% Vëð ß :¯uÐ1ávå!º¢‡n»èÞ;|¢('ý³‰§“6ú4ËëejÒ|V¨f†Ÿúœ½ò>óH(®Ú–ØQ[4‹T´EþþIGÂV.ûÓO9úš.k%óš󌩀⠥=a;9êRg9!iÅ’Y¨Ð€‡”4ˆ} C˽Ï8ÿÑ’ˆµîf A!t5“veîµ@ÁÞôÄpÐD|1ŸNuɦªh2 dŽQ‰.N.|9N1uMU´lÔF¤Œ? †I3mÒØŸ;ÃF¨Òl)ï öª)­m±èätA‘nØh4Úži•r˜rZj³–d {…š„–Id¯ôƒ˜¨Í~ŠKÑß#à´SëG¿4"â|ÈÚO8£ö.L@â¾þ‚¶Ä)PËz'®í¹,&"…WNk-|2néíJçjÚAcä2TfÁùè‘5þ1þ K+¬¶× °Kµã.â¡2yFZt´LZR½ð' Ç¥™-n-Ù$×6¢º Ý_†ù Q_Ï¡ÞeÕB‡úÑ‹¶¸OØ AYÛ…ÏfÕÙôÁápîs؉Mº_¢À¬¾Žè jUŒ–·8°ÿA[÷ êâ/ñ":dùÉ£†ìÁÀ;Qj[·ô^Ÿà€ùñ‹^[%ž(W}çÃÂû ŸÔZ^SLú²žæ•êÏS‹3­f –¥–/ú éþÈ·åA&Íû1t«ß>o ½­Dn¦'FaW–ÝVRl¦c£QE®l[ˆìX‡˜Ÿœzy}|lƬ¶E·(Ͻ£9hq›¡.¬— j –-¦´8(Eû¤23ÃÀ:ç¯Cx™@>a™m™~}>’ùlê&õåÄab! ¶³öõì7m<õöH¥ÖJÛдÆOU9ïÐHÄrJÒÒÓ0àŒ²µM³¹Y*ªåe8ly—©÷USp˜š@°=m‹À£šæ¤mÔ0ùÀN¬³~D¢§TµN_ ØÇûWuN®‡õÞ3KÐÓ´¶…‡Ññ@H•&PWiNöà8À8SW“; ¹Jp¼ Š { ƒ›}Ø¿Ý…é:°àY¿à·2¹¨ýfvúKVA~Zv×TKÜ‹aûß]8Òg‰¦!KæoMïø¸¤!mÉ:­€óÿH Î%€¶m®g*OV•Ï9jU™¦öHÙœ@‰s0vWîÁ^Ýí/Gvµè½vÔZJcœ!ú{Ðú™®{±Ií#Ÿï¥ñTqblIñ ËÝ \›J&çµÔY¼Õ×5­)!ºÛ‡¯5ó"¥¬ ÉóH¤¤ ×:) eé2öÙ¡ísvžÖF¬m{gÑöiÂdTºû»³±ûÔ‚*"í\ExþÅHq{$ÞBÀŽÝRÍn…ÞVé•®¢I ›W-•NŽ)®QJ.¾ùl‡,Q.V¶‡ei`‡M’d Þ{:¢ž`oYSüÞeA¾âؾ¶‡Ì\5CǤ¼oS‹ôód¡ ÀŠr³=!Y1„!¹ÃÆ3ÇcB°@®Äã®è(”kp<Ê’ô%Éð½û àı"»®ì‘iú*Tá}Íð&Íuõ—9Ž›Óƒ)œîÉ¥Ž3'Ö"¨‡iS×qŒ‰%¯ MÍy³€< „ºaK}YN@8¦]nvâ\½–øËû>”<û²Ñ{‰8}˜ª"ú_ZâssâŽIïlåm¨nrZ%É@DJýf?hX™Ôž×RX–f*/€Ý ›®ÌkYiî‘ÊÔÉ4$Í'èCïÔ6¹·ÓL$t8”cl¤ ÒuÛ>dSµ…(άuˆÒ Õ¤W@«¼GJ!É)‚[ÀþF²XÙ€Ž¸~ýú7Dáåe<E´ÚLYkû¤ÓrÒä……'·þÑ0bå´hE–´Gq¯ÉâàR ö¿DoºìU2fûÊ-¤_±°Îç³›qì÷^ß`T‹Ñe“ƒ®iÑÁñýºFX¼F—W‘öêæÀ8MèY‹8Úù²hx¾G4üçÞª<ŒtdCž©¦Ê\ú~sg^ªIÄÀõdÎ3Ê#Ô»%c%áèX’ül|BRô¼™{Ðmˆa™XT•èsÜpº‚¹E÷Ñfc¹±Ñ0’ÇUýs–D;ÆXQi^&G¦OsÝ:* `'{÷÷®Š»1–HÁe<,jáÞ¢+±OhjE—Bšü)á¿:¯Ç:¼ê2XŒ<Ëæŧ®@VøèIK ¤Öv1· êÀ$GŒ€K` a!YþêDZí=õZÖ–&£iSÑb˜GÔe*0¦ §JÄŸÏS|PÚ/s̈ËÌËÞ$ ¡­Æ£4” •£4 ='Í~r„™œ:*úf€tw{[÷›Ž€S¦rÙy¦øý~He½· Ä›td|‹3aÑS:)ïò.R-zÊÁÉÌ#g˜SÀ Ó*gɾU¶£ë ?u$§w@ˆ¨†×q¹[\eçÙ¦™“&²p² òí>§!öÝ£¸ËLpÆ&Ò¸€¶ ç%œ!/:rÈ25wÙå·Ÿ×à÷šH»eÇÍvÒ;–TïyÊ]Z38PÉ®…uYøx¥0F\¤j…eûÏá5í¤“êÍólçî¹åReÔ¨³®”1·f7Å2W½žŒh,o{Ÿmµ<ÞEFßÔ˜¬„K`sÙT g;ªåu e.}>YÊЯ—-áy^0–I&]”UÌö!o ©/œÏ1O+v¥æRµaä Í\.roo ÝãŒõ†ò ã$»ŸoóiçAµ ˜{ÎP*,ŽC‚hí Ç]æ8¨6´ª# ;Þ½xèq>¹F&M5t*á"çüž÷Ø3ЪLN:OdQ¹KŒBpÊJgKg8OíÀ´óª­á³¤Få6gWBã‡_ÿðûV>üúW¿_ÌâR®vGqÉ1écÎn#šÐ“kA?béÝ)Ú!¹»ëîSÏxºŸ‰MŒXiiŒHÒ¶›„ä|ôFÎÇ ç{íµ6b´†Æ&mçëª`Öu-èŸOn øUôz‰/7§ª$=€ZÛ•ýBR¶Æ! Šøý”¤uD â¤þ€³ÿ¸cFÖý0¹´åóûS¤…IqWÏã!ñ¾eYSB^uTÅÉüÙ7•ek)å²*Fä9ŸµNh$s£5Ò-ŒÌ)gø{žÃJvÕ#‘ zYjÂ:# uƆTXåNfò7уŽÌýÛÊ9ÐèÈmRk)ó,ùäúËë°I*§µÁe ¾-v°xÖ*c”Ö;L11Fª éÕa{•-íëb9å&“Þü–ÊqŸB;áh·q86 ‰,N9òýVwó0Z†ð?ãHô´É6°zT“Îq¦RwžL–Î' °3±b35É0ä¿?žOú›°y终*­´o ‡gÐ΢’=ØR+µëìq7;•[—§Ä¾rñÄ?>¦m•B5º†è‰DåžT´“Îâà(EÞrÈRêëŠ4Ò„ä)S—êZFËMäšZjôSžÿ™-›ÓRQŽqœ(6æ“ [νô­”„þYÐGª]¶ÀÑÏT;¶93øj¡/ò È# „ àa/…½=êåGø"ûÊÇ7>þØk­>@UD%ª©éÅ5Véµ)éÈ|ÀpG ¥/ý„fbL%‹àÕᔈ:±î#ƒHiw|ŽéŽ³³Ž i—ìË ¤2›AÞ‘¨cjmñícßÕZž¿8B;—¯‡ÎÐ "êAêÊœy0Ìwä ¢þœ"]X r¤tçêHdײ²ýJP¸nC—p„Ž¡“t®ZHü5òg#ÀÝI¦mLmžöFÀú‚*ïÄàüG §O©PÁUy[¨ùœš³…ö´@êÑi£ÁòîÙqú2èœì‡þc“× æCa£¾[‹N¤æ)öÅŽÎQ¢¯Éa{Y7Rø……oá6KùR‘¼ƒÆ+ýiT•r´’tP7¨ºõ»`˜ï!}ñ}5í ÄÜìÓú4ñk¯ €Ó##|°Ó«Ž:‰ ºÀåØ™¾XwÏ÷3»g¢éèj¤ Tj}égyX(šm2ã}QÖYÊ ïe{QòÙµW"%ûêì“v0Ô¸?0!ÓÏ»¢Ì×nzHCý”ÁQò1þíëz2mªlq5)ã  ¦«| n:Õ˜„C¸¬ÖÃ7àç…]B¦ û¬(Bb»CÌYÃ-™t«+ù0N Î íù¢½v JÝìæéô¿.øÜJ¶î€žS qoª÷Ž(]/3¸^œóL율ï¡aÚ6ï°…BrJžËS(na'˜8ÌAÇ‚LÖ•šŠÆe·æUÈ•dˆžEOØË\Äz˜Ô¼M×"Òü— ñ6ú¾³•àëåKö?tÒ^<ìûlä¹ÀógÖøœŒ†&D]W’æôFN¸VH¼Çå:Ãlñ¸¥©ÿs,Û&¬TÂÝâO­“€½+ŽÃávÆ’Ì}áYyÜÑÙ´¢ÍO *§KCaT"àá‹ÙCÙÚ¨ND«?éIwï“þótî›O#÷ÄÇù$ÆÔ ÔèaJ®ê‰èÔ* n‡¢O+q{ÖSŸÓ ªf‰Oâ‰À3i¶qGÞRR…¿ :†ý~SW¿ðz…œ0ºÛV0r…î¾!¦1‚YD’v—¤sv¤•w=Ç[Tžá ¥ßŠD‚§| jxÏÉÖ‡­W)™òêS?€þi†šô!—¢yöéÂQœûéx¤a"’“*Ú¢0IÀÚ0¥h>¿YD°%“ád†š„ô;Që¹Â£ ÕPeßlEc/¨äˆ>—¾‰ äøŠ*Ͼê'Q„XóœSù:µé`AJ×N£fØ5™ ÉøÚ‚t¼oGõ:ªŒºã-zz¿UÉRn“P=ŽÏ-¶EÀþ!¾~¬Ä š%Tµð©ã—½/‘o¾Êá°1è‚.D=º*‘ÉŠ®eü«½L¥¢ñùd¼E9Ïê¦ZèB÷Å{fâ\ÊeáÙÎUÖµG:yæ–âÀ5‘•æÁĹR;Á‘µëðxÄë´5oöûm­ãÙùþŽòÀŠ+·¥ÃÁeR¦>$—-Ï‚áÿ]p;ÕB‰JæfŒ¤¨§ZZ+²X Þy3­þC'oÉåÓ2,>Õ¯™ñ´e¤Û Ï¡_'Ö1÷^ë͵ç½.ò@fbeÆZn}‚~ÉÒ×jp³˜`)}<Ç!hŒÇu!©±˜©êq¶;RãâáÕË°{¥õüÙ.S"qÔä2ÝÑ.:š×-ؤÜ,˜ÿbɯó| ¡áÓñ#dN .Z2NJÖ\b÷xúƒ| Ós{2òͧ§cžó7`¼ìµž Üçzð]1b9¢<=·õ,Ò‡“ b*bU¬@‘"(\L¸{O(Ý‹q2µ½­òªÞÓ(¬|Ö¹HöÈ8~-ûöëo¦Õø@iÇŸ Üg$ÿ‹— 6„¦³×Û¾;2uØ:“”`sÂÞš4#%¸OW8îK­:“Y,VÐ…@k¼—×>ÃʱŸ‡Tcî£8÷b\±m•ZK·É ¨ö¶9¢aŸòi¾š³ž¼I¢VIø £l §¬WÂ.Ð6&13£œ«"ÊžCÚëwäïÅÓ™3ÖƒØNéV|fù,õwò*œíž°¬2W™,3 c뵤2}TPpÄùÍIË m òLÕÓoqoé;švÝZîM–N*Ë$­ew¡8/Èõwìø$¡Æ'=§abN²Ÿ¯¢O­_èMÚŸ$ÚßéÀãi"àn>H8Ï* ´)Så}—Ÿ#i€òÉ<%‡™*¿äK[<-øïš;RºXüÌuÓ÷³üøf9ï™Rˆd„DñÃö çmq¸YŠä°$ žd)Q8é(Ï;¾¢G]:Üú²Ô<ˆV¾uÞWv¿¸‹“‘›D8Oèñ01Pö5‡‹NH…Ì“-ýR,ôX•ûhXâÙÂûÿÝH}“jvEñ®¥Ý‘/ïS†×9›¸¦Í’´‹ô„ï!ËŽ’ï\â@6S~Z³WàÊär.QrÒïF'¡S T8 }J+Í,ªÝÇàÝÓùÊ(Ãe ‘ô+Ò>T¾›3¾®½®ð¥½åš¼É†¤± T›•Ôa|îÒòMçNndkù®ák’Ï{B)ÂÝfLz ²?jÏ uy;o–Iy’ƒÑ2Ç*›Ä<ôŸÙ ø´æ‘ºÕê†ô¼15ñƒÞÚ’§=ô»3öÍ`å™Æ¡Œwm< OM8G²32‡#U:ß ö£IÆÏûlyã>ŸÜ§mLÒbg¤R{5" KË æˆÖŒÓ‡1È,°Ëy™ED§Ð‹³eðß©¶°"ß[h/—n‰|:¸oÒŽWn)=É3¤ïT•q¯ÆTsj\eóm"ïz1å]$ˆ²© ¬i³Tö”@ú‹¡ÈCùMטäÂá5p\ ÈysAxöBæq%ìÅDè™×±‘aùb’ï²%òaX”‘IlF(¥GÞøòIK†è}KáÀP6OéÕ9lÑðXô1ìq˜§(ùû~[§Ïï[yì +¢ÝDzýg€J${OÂÒ3̆_™aÅÆ1!åTc5BºÃ8Wª±Í©S¢U­þ4âé„Ø™<–ÓÑÿÃhÎǪ•ÎHÎ3ãÚ¦–Õîxo‚22Ó쓶§¡0WìªNZ6µ(㦘쾪¦ †ËLùû¦¨œ]ìz„ž±ÄîÑ%«Í Á‚¼#_µdN{f $`€ÿתî8ªú‚OL“Ý-aOèè^Ž¿¥ìÎ>[å,OË}¾‘¤ I§ÿQK}®ûq¼¹’ëI5…88ej83›ß™”!ƒŽÎY–7ˆºÏI¿4D¸t£y<ŸÑjò ¹šÎJíøœ 0l…Mëô\•µ™¤MçäÔ›Õ¤îEËê<¬UÚw>{=ÓØü¼· |B ³Oß³;#2½ˆÈ’貚ÓÒwB·k C8Í÷ipÛE®y—ßÿnŸ‹#=aRÍŠ&œ@䙸ípe/£#×{žzß‚|Њ܌ êçïî)ô¸‹DzeO‘µ=~ˆg}81ä(eÚÏ9TŸoÃá#ÚnÏO€g»†ôuÚ_º›r5¢M)$|²¯ØÌPìVÚ×ñ,º;±Ø?XIw‚c[>׃8z¢}°átWQG¡ Hš'ûkŤl•=*E¹ã–ö$oô$F™ÑÛ^Ã~å÷fÚá)$&3_ºhߥ°“¶Œ"å $gíÆÆÚµðEÛÄABÏ/tU:—ÜeMB‰4:«ç“m#\ž+•§ÍvŠHÚõ~*¯]ÙªèAÁý¸lwtÇ™þ4—¹Æ¹já+!íJ[÷R6v÷Þ³çàVÅɉc@{ ÑË–ˆûï%qwºŠ^˱„;I?íÌ!ÅóvÑö\ñK±8;–UcÄ‘geÓ=9M$º•s|Ž3±ZføþÐ5g@™Ù£V±Ú>(ÖŠIÕD$ùN‡;¸e^ïC½ßvz=µÞ§0íaÏ“ÎÔ=‚¥V׳{é+YΓvÒÓ™ˆ‰pÛ§"€©¿ÕFÀŸs‘ÌyÑ»K ÀZ¦ˆZµ•!U‘q‰Ùþmpæñm4HY3Y¡j*te«^ÌëflHÁY°ƒ`6­s’á·ƒv6”)UV[Ô"ðZàîò)Ù0˜6‹ùâ½Ö…‡a¡aéª-3 Õ#_›£DâñîÑvS2P1…W$eíGü8|µ#m_œ*¢.ã6mÐò‰[Æ¡+Tz==c''}3õ­Iè"eâ9±öïÑÕœÔV*µ€|FZwN›ÎÔZ}Å?­ý7ÏÂòvy«ꬤ 6ãS¹¡v NæÎZLvhH§t£)ëþhlÊ…®¢5«Å¼å”SZbÿåôü¹Â±éD}³ƒšˆå€Á|Ëoæml¾¹;1݉[Ïá­9i+H)7u”"å € íŽ6ùÔ¤O鸧Îwê>âõvi)Þédæ$®ÑZÃ?Híz”ðw¶æHš5ÜÿòŒ»:û µõ¬U•ÇeÍÑH{,‚uœ>¨žªìùõ§Þ¡è¯¼øÎ?¼È>úÊW¾â®¾Hý…¾Øë¡AwÐBõÒ·Æ ìHãÚå ±ŽÇ^0e£—ñpâ­×Âo½Xùðûýbñb%šr¾X!µ#n•õ…Ÿeg_X±r¤aÞ’ZèékÙJV¨lªá8¢Š"„¾xAbï<¼êÅ÷¾ðu8÷‚žHzT;niæiôOL«øÌ‹÷þ|ë…O&Õ~І'Sç©x#ñ¨Ü,º‰¿ó¢/£®Ž¼Ð¥¡É¥ëüú×½_Ï%ð ´ÌëVó†Šä®ó<½™·\Ü9Ö¼†ÁóH°}7séË`ò6Í%à?c»ÖmÝ|¶9vÊä»Oƒ°hsê‰lªòAä (MÊ8eÐD$Yá xn òNÞò7ŒþHÔĶNQµ²þŽØáSSäpUÃI°O¿È1]©‡è;LGþÛ/Äô8þ‚IJ~[UÔ¿E8•y‹¨¾ÄüÎ>¾aí02#Æž¿Çlïȼ¦ûqÌeß´"ÔèÐ È!EœlD(í †HûZe7{T5P½`î=Æô皤H<ÅD™:»Óê2F]y#ûˆ¶'4©í¬#Ãt÷è þŽƒ/^¿ž ‡‡c/æS’H7‘Ç´M1oè±SRUr©>u¼¿â7Ã/Ó¢ïo;Ê4ßõ­ðÑËl@ârEúŒ*†-½†ô¢všôâZ6¥íMïèɦ*ñÍ6ø.¼\V4ۃĹ3§Î ô£ŒÕ/½TÙxd £g-|]aÂAÚ¯™ÿ:*@¼QÞGú=?ô@œ·=ŒÝ›ûF>KdüCEÒØÔövŽ5ß~©T8y‡.ÑÃò. @ìIìQ• ÇÂ_*šX%$þ±Â¿ã–Ä=+õKÄ*ì‹ô’Ÿ—j¤ç¡z_zÉHžÔIÙ¬&µ*IŽöÜ“~Ö3Z.r/ x©Fí ß¼Ãu©u^ÇU–>e\›Qð £Ë¶6ã6Þ5nœá^Vð Ž<ÖyO‘Ô±BsûŽ&qà´‚™NœWé Ó»GÔ=u#{ÔbmTXÓ˜ÎɎز‰2øRÔØ°Ÿ¡É½TÒUÏÄ&›ÐÖh½Œ×?©«"ìd24Ô¸ÛÔM(šÇ7O¸Ž¦ñϼÒU]¶“§h]Ríç$dñzVŽÍJ‹0¸gBÏÀb¿`¢ ÃûÞ·ì)GœÓfvUtµ¤&Ÿp³ŒI(o&–/jÎ@&Žß£§/ÔƒöàÏ/ÔLcu‡8:I|`ié¶* Åìy³ëà7@Á+ûøð¦ òàúêõµë€TlFó˜.‡îÃv3³(ÈF•8bœò䧯·M%ýº˜¯‚œæ¦€‘õôÍ\7+OdŽ²sžÅ~*×o^¿w]øƒ1Óû¸´u3Ü“c(Ü®øƒp¼«hSÅ%†œa·Ü’(‹Ÿ£†ûÜ@Z*˜<·>±EÜèð˜p„%ù7#8µô4wüBØÞz©ÂÆw¿¦à!`¥sˆMìGHNAíåÑûðŒuš“ϲ!)öJ<ÍÔ…š‘B6ˆø,/©Ö.S'm‘õÌÈ I7b bAöó:vÄa¾ ¥#Ø€é“êX˜¡¡'gl¾¬£pG¥­C,0] i¥4â`š›–^^SW&mh±7iÉnŠÄéÇËÔ€#5S#Z­×5ÉßÛÙMZÓü®yá¥j­øJï›À8}Kùþ? öÀ´Œ••D»ž‘½Mc‚þšÖ5Yü„]…PÕ¢Û ÍžÝ ‰+kj¯9úÛpÄ êÏ §ñc.¾ 2õZÐ.–hã×Mÿzx×`2êŒ8ñžâe6´ÎèÁbñÒú® )D¶“/µå,Ë…9WçÙ¦AF{×”cëæ#l!çv›„˜fr1ÿ´b›¤”Tù›‹Ñ ?QSZ’jFw£±’øbv•‹~&’ŽÃ«¸r Æ 1±¥"ç~[î÷$‰ z^2ö¬XÉ{H$‰€ gSŽIç'ñº¸xü¨$qKÄ~Ó×kÌ¢‘uh]x€è…_@“h1#Aùd¢=ïÈK=Êî¼+Œ¹c = òU„ ®3 >Vzû'í@÷‘¯Û{`­k’þ²û#ú,\®†Ëø#C³‰F®ÿÛb «c£ÊMÂøp¤—óøì*½:c¯Hð¤RoÝ#ž•‡ó__ú¶êíqâ¬2"KŸNˆû=ü¶€;s¤;mè–Ï;µcŒƒ¼g*µDE÷öOb ᳎äÓ¦¡å=. iãë•çfÞOŠ»ÖÜôµª;sˆ ¬åÃä]‡=='†’moÂq*0Sõt'*É7çzÞõ}÷_ºn& hû45žÖi«q}æ\Ëxpç I‹ï>¤“‚”Ýn{Á`-é@.ðŸN…–³>éSÝø!úöKÀñÅ®1Cì¬zRbŸ´ˆ«L]bvÜÒHGšì(Z„I±Qzw|mÆS‹];µª…™ò8‘KE4šTڈŖí]S¤±£‡íP<¥œb±˜£DHÛ@äšv¿ŸÕàîèÏ>gÙð§ÓìP•£pœ—Ô ^v¢î¨HÜš·¥h¢*˜*’‹|U0]³Å]^ß2!âð(®;®%çA[£9¶nÓ\!Y’ê‰YÌÜ«ðhQ¨ûÎKà'}-»Ÿ›j˜û×_dÙõ˜þ@]‹/0ŸSoÌ8ý-ê‡(Rb6ÿ牒ºx5)«¢åëQDÚP¥Ù´2¬ 5þØÆÚiåÑ‘ó‚tà\¶^mâé7¸C ‚Ùü;ε„ 4Ú%p©ï– à¤d<Hµ’¾®ªaØéE¼]±«å0g5-èyíë¬_Øà…ÇZLL¢›vFÛW°73R'ôsL¯‘u–׌ë™Ç-S÷»ZàI ŸŽ"ÊÄ©—#xPNr ¸‘Ú„|'G_Z#>©ØÛQ…Ói™}³M¬–ç‰ dUêMG0ÑH@ö­•Yîĸ³Ð²åÃMÒL©!Ðý¡Us{$iÍ›ÂôzÕqœÒ˲+[.­áº§iË/Á³q—;Vœ°}ÙýgŒÌo¿Ä±C|ý`\Û¦¤%WÄô'N‘­æ üëq!Bt#£d¹_ñAºø@wé>ò™—ác¿d+q6øñ—¹=c¥¹&N"@å3„ ôIšN/¼Ì}Ó 5ï=jç`G9óÒšؼ;IœZÇ™E"6‘’‡™*í §#%ÛETh8Ï8Ç>Fª­ž= –·±üÖkKzkÜ$Îìå<Œ75T[’þw¨›ÇºBú¸^ÎÒq¯¬a5¨H¸Š–ø—&»YÄdgèzqÖRRÅKPt„ÿ‡¥ËdÓ6ŒýËtYïk  dlq$´ŽÂɶþDA¬&šc¯¼4ÍY·åÎ×ör‰=Ïc¾‰·_â\-Ì3ÌÙ£ þKÝ„Ò§_šÑ®ÊîšMšj+ô¯ã/ rBÓÛuuvú–|ºÿ]l–÷Úºµö0Òºz*ø Q[Œa†ÆOÓÄ| H@£Áý ¯Úq´b„´t%íWÉÁ+1ò°@~æeدϽîò@Yq]ä>LÌrØŠ¤ÙK º´…†Ýwv¶eZ¯qŠKãª->r‚²ašØÀA5ÐÔšH9íêá;‰»X4”žeBßÎ ^6^‡Í‹Å8>x @$V“lRç€ s¯‰Ô "µVÕ’dA­KM9n…¥ X&Ë’XÑ´wô%I#9âæ…' h€äµÆº{Êæ‹M`8éÛhìF# ºÎIèøD ‡ÂàešÎ c>ßqÔw‰ û ”†-(8iRÅ*Q¯f‘O²GjÖÆ ‚ƒ-ü¡c’öå.N²cã["Òx2ºÃ]±OÒå-m]O8ÈYK·.×|]ÔƒÇј7e¸¥–68†Q¢€åX$`•cÆddþFN¶¡tŒ‹‚ÕÎm¼®Ä¤x/òop/"oM™úIŠ‡Ü­ûjÊ:”ÈÐ-øHç‘ÿ‚np¡ÃW.:±ßl$å½¹K’û­%˜—b)õö|ÊYQ‰wd3\Ž¼ç´ð+xRCªxüÚÈ`fÃvÐ;Ä#BzQ[Ázo ½|ØØψ0-Çb‰­°»žKˆÙò݉™ú:˜w8ÚëQ å6Gn$‡iŠè—jê$ üu­_·ªñ|<Ô_tMW³pèvÅQi¦ÛlÆ4=  Áñl,³Ö(¤ ˜Nç’ÇÝ@C-z/ÚBx4úÜ·Úù;x"¹Ô˜Yò¹œ->Û˜BêQY|óªõ[´h–D€ÿ|òbÎ HüO ,šWe+ghlÝÚú)˜ÝVÞa7[](óI؉ñZ$$¾ ð¸þŸsdŽã]:vcy<Ó¶VÄç…ûŒË:NÚ0¢EMÇÂqÏÒjU쳎ê3n¯ê½¼Õ}6†óŽgkAo²³MÌÅe·IÞjó¢aÍ_ ƒŸÖàú£3ü“yñCåüòiÕ×$@Àí.Áºvcå0iíwÅó^Ç1@<¨t[Ÿ_ˆ+F~ ƒhÙ•µÑk7+øM_eÉe•CÈýüí4­š9c§ˆËço È}p+þ$Àš‰Ì]­›‘Äó¬2»;hûJèr¾¥ÜÁâÍj"_Øá1ZpyäÍ4/ýÂãñ‚Œp8Z°Oñ@ô«†8ñå¼îèÝ[6O¿Fk쨤ÿ”Bo™–©/B Ž¹¶xÃPj–äâV@¡÷e¬žèkÛ!³ëË}R· ÜA9eÛñtSþ,Å&Þ‹À^û“ÏvÈ©õÔòx~§À –s+Ârr”˜‘o/c¾gFQ¨þ˜} ŠøÅÑP zßñ´¤êIULå*~«ÝÞV…‘yÏXÎm5mò.„Œg‘d&ÝGŽèŒ}@ÙsÞ¼d¼(à™ŒÚʦFO"Þìw`[Ð̉`×wìú”¬‚ Æ× ÿ³žÉrkz2àZøÍ?Zó1¢å}ÏÀQS 'ººQePGeß5³Å++hylvÅQ+ƒð‹{ª,ç{²”¹Ï¾[l ‹æÆ̽6æH²—X&p8r^A-]¥蜶¸&¹_©A‹X¨}Æçý6æÚiçˆD<Ñ©[›N 7Øt·äÃÊ0OgB|$Z'Â:È d F<$Ô¥¸n\Ü—)Ò"z~ŠázÒ‘å°O;ˆt*RÒ£’72\;òˆ÷ùíç:<Ö!Ê=72IÙŸK_Ë£1û8/û¦(Ó.ãYÞ4ûTäI[AðIçÇ)ÉK¢Uü~ÛAø´ädq¾.iÙÍzŒä¡|—=¤¯ ýâ¹&MÃáp†\Úî®QŽuª˜ŽòÎ*êúæY¡¬¸’m9ºPG= ^í3Þ§[öfâs Eªˆ"Ýn¿u{MÍT'ØÖõ×É^§`2Ť;b×hóI3ü¹WOëÕ>µXÛå•l¿ï^'óî@€¸[œ{ÌdY[ç±[gRê>Ó‘„Ó‰žbÔŸòÄÐ_×£;‹{¶²¹r¬Ó@Z›ÜWwÚTŸˆ.}§°Ëe~Ó‹‘Á§èˆN‚ÎSþN&ŸûA›Ñûj¦¹ëÜwy ß½kBO"Õí¡œŒÎæ‘ŽåßGwÁ3-:nËêŒg;Fl}¶…`‚yV™m ¤Ü½µ²æ(tòC1ë^„ ½h ,÷‹$ΓÝ‹£é óÁî_?VˆÉí7âS`Ó†‚ óŽ­iƒÜøÏËN+h¯yÙ6ÚâYlLÅ´¯Ü´ MØ&ÚeSy<´¯”ȧç-ÍFjÓ.Ærø}Én9û”–¯ÔP„¾Z…[±bVI FÍí¶2$[»&NZÑŸcoÁ÷'-™ÖFšM›èsÓ2%£^t¶  ¹ÀGï'Qû¥™‡%è-º0±‹Q>ÎfY53ºšMk3QÙLJT•‰ò,&%DÞÌË IL^.>L,8_΃D’½d·ãµ¢ö·ñ,™ãÈÄ¡çå—(ñj¤Ë°Ì¡èçÙZ¾òØ òïp‰p,tìe‹s¸Fåç±j>VÇoY)ÂRÀ·ˆ¯¡•1'ƒÖdE›‚HÐ^HˆæSz†Óf9\™·ñ<ÄmáÓUX¤Þ£+v¸óI¶oÎL>@RB¬¯ñCÓĬ'_¶cª ¬“l þˆÎ ˆË” Co™E§•v^áÁ ô{_µcMåe b ýïÏp$Ór|_«6ûê÷øáXüÀ°ÄΠéѦaÓ‘©™é«&nµ–[(šêyÚp>ÈëÕ«W³G¦žäýE‰s¼I^ª~ðdù+¯üC^Ñ0Û-ûƒàúýÙWÙ´-Ç ²ŸpÓ 'ôKxÏ…3gg^]¿u=»~ýzö´A õTÈ·¯®?»~ßÛºN¿RÙ`ÖNæ*[èIã.¬DÄ™Vz\©ºœGÙ@M¼)éò+ŒÐÊzz‘ L¯2CyuabS£D?GA˜æýÑ8¾Sé~›íhú€¦Ò=6Mev‚\K%šª›Ù|’uoO¼RËj’m.¯kˆÔÞ†ö6‘ƒ¼@Ÿ¦ÆÙÍb1Òù$ÉŸÌͤž+ç”;hŸ žžò7ݲ@Þð> r€Ëê˪Ñ´\£Æe­I3oh‘ŽÍg'ˆÊÐõAÐ8íÉÕ"ƒûYYÆÙ6ÈI0BèBøW:ÛŽ·g^aº÷L3Ç›K Ÿ+ÇúÌ«ïÄ+ÝËfõu’¦U0¼B(.œ.úq g³§xW–á…qæž 0¯OãAåQ„u3vdB\šé‘’Y×w ©ç8Þ@o/"¿ÒÚA˜]õÔœ=a@ûL#¤ª rճʴ»:.ù:zš|¥Gesñ(ÉïvÚÑ×;ÉBžSÍÛø!@Æ­â¨ÓyCòf“=Rͨ‚CÌ5L’šy_Ço½Ò1rêurÌ^KW¦‚.òjô þêéq6 €‰*vHÒS*Ïc_ÍŒXŇҲ³o±Óöh²Ñ0#I³gâõ“8!q—|úÔ’z']QvЫßÉÛÍ€;к†GHCK¥HZÍHÞ¡íi Ôa1ZÑ$?—ÑT=ÄGU4Õü‘'ÏhšåCââ6Õ¼ÌCÖ-ê³ÒôrñYÓÑ<v¤wÛ½¾ì¯³åÈEU"9Ãr#J“u¶”þÇ"¯ Ï~ÄhÛÀ¥ÉÇŽr(.¥ ú;üj4ÀÎT†Áóî«‘.ô‚Cê§sx``¶UãQîŸ|&7¸ g"l 4ÄÁSO Yh7Að€Æ#S˜º™qíô+vn¶¯j'L¿“–3b°[{ ôœ´ã|Aú<궙Ñô’á!a `@Deù àq%Iëìå 8”Ð-Æ´sÝÔ¡E> c+¦ÙÙÌ0rçzn²I»`Ž+{žËŽÑx´ÉÖT°,c’À÷Á…ˆ54szÞ2mˆ£WË¢¹ªfÆúý¢æ²QêÆŒs¨ƒ“è-@tÄp÷fÛI÷2}!veP,Jšêø«¿ؾµ…Ú ÆO«ãÖ}…ÀDF &š1yAEC[˜hOzò®uqÖe¢oû¹úeº˜©¡¹‘ÝÒ£ÜMë˜i/ïÐ&4 ¡,t4ºÃÌaËI­@"¹‘FóÜPóÍã~¼LHœ“ÀT…oùˆX‹’niIpÊI›.YðÌÇ$Ýa†¶ÿœÆG¹0Ôõ´ /Œø\º“ôÀiáÚ”\gù€d9±c1y¡Ÿ(¸[2u™È´Éê`jŠ ËgE¡B{ §^ H?c¹ÏmØ’+Å£7ËB@H÷ò²˜ IŒBä-ìš’§œq›³I|ª‡O z Ò N ó=–Í–ñŒâ@0Ð\Ù6Å. e¯Ò=jè¸XÚì^?ÐJ@l€5'ÀZp,Œ¡ô"ØŽYI‹#¦ŽcdD²%&WbÏMÁK¢¼‚ñþÆ{„|ëUÞk1½ÿã¯ÂUFJŒ¹n# åž)Š™s,Ðúôq"7†ðô5Áq‘¨’fº!YpGM¦j@2sØfN€OÊOÝf¿w^åCR¥¢]É^Z´ŠÐÆù0ù] çœCwŸÕ³ x]Áœ´*É©|¹ð°Eò>º¢%üóéG²â陪òIl£1–ÔPš|'J°yÑBY^PÌÅeu¡öÖ#€y½B²´*ûПEq„{1®Á‘¤8Ñ’ê)Ð IG$Y ”ØâÓšàÖeÒæï+jˆñ(~Ï„kD—âŽzºK"ãþŽÎZœmÐŽ±ÑƆ(ü ú"ä±RõHð‡FðÇ©ræUnplp«2†–´§Øp&ƒœ:, _}WÃÛªœ›ò«º­tˆ€é7_åÓlùI¶Vš f  iíÁ·ù0‘HÉÛŽGÁÇ@a-!îœz•W+8s1øg¢„Ñ”SCûè N˜H ‹dNµÀüC;8–<=Î4ICoSßTcóž‘"å&*á´ìã@(ÓÓœ¶:ت†Šdð¸³úÓZo7aöQ­pÐ>Ë«¦5µ–ÍNmÓX$¾Iî¼)L T ºàË+¯ršãÐñ•3£&¨HAÃZ< ‹ÁY*C» ¦Gƒ¨¶?ñs¹Ô¦7ïëÌ) hÃ"„t³Ü¥‡4Ô|æƱŽÙ›iö#ÄÎÑ@,ô46hµB’¹¼9^åó–eŽžcq¡ØLÿ8¾§PM‰ó ¨ý¡Šx L¿aÞmƒYÿÔ+$)¤¥ÈNýQ´+½EŒyhXú-`®Þ~%r¯~5¡&ÈL1µ5´¼1òìúf˜Ÿf«þ>&ŒÏ¼2Ñh4@KE*ä]Z“Ä…ÙÞo7ãàì+ØôÖZ˜j³5ÈÝ1Ôë"ó‚-mE÷óI„Ž&khªÊt’°Ò†Þ¡}RU6Pï•©LTCÌ„*õazùQzuíåz~_E¸„ó–<€8]yŽHÞkQ•9Ì\€xøÁyÄQäѹۑÖ›?h'Uý*Š#–Ëq¦lÜßµCâ^;dWï´boen\ì%c’ÀP¹ÂRß,ÞK› [ÔTd%‰w—X¡Õ ¢lyó•šlÓˆ J˦ •Ýl‘¥Èwh`EåH…ùøëqÐå:-ýS‘㉽ä·J“†uSË@ähd úy:Ò;A—ˆÓäckˆ %ËÀ´7 f| ã¤2{¤Ÿ2Tÿ®šÀø\ ò¸ÃiÀHܘÊÃ"Úð´žvR|Õ&·q„e"L²•ì!np×Ënöàá¾nFQ'm5†rq ¦[¦ ‡|',µq9覢þ Þ¦[ƒ†sCÅ›+’%ùš±†æ[çÌÇz°. ® 7Ø|”3žþÍ™ÞZo£D\yÜKÄÚüÎüZtˆ¯î¨Ý¸G´€%Çít E€Ú²îÇÎo« ’à"&ì}ÕÂ…p!˜õNÜ©qQ“ºNªVb¸;ùŠæ‹†´=ˆðµ Õ#:Ik‹`QÿÀ^Á NÚA“=ÅŠË*ÒHE]5åsUÁýÌë¾E.ÐÏ0÷4A³ß(í~|liéÿóïhyþyúû‡ô÷éï¿Óß/ÑߟÐߟ¹¿ÿBÿwúû¯ô÷-ú£Åàÿƒþ~Óñ~þ~Öñÿ3ýý!ýý]úûEGû›ô÷kŽö»ô÷O]™ßv÷ãD?M¿O?DÿŒþþýýŽ»uûSwúýkú«Ý}ÿÈýý®¨ówåÿB|þþýýmúûW×ßsuûO®~¿Bìžû«®~Ý•û¶{Þÿ[ô÷?Ü{~ѵ!Úà—Ý¿ÿ'ýý{wÿ¹ºü™k¿Ÿrí÷-÷<|÷¿¥¿u&ÚëÏéï?Òß¿qßþk®Ž?ïê‰:ý†«ÿ_¸¿?w}ó3î;~ß½ß÷éŸ:úω:ü¡{&®Òñÿƒ{ç»ïÿ]÷½âþðœ?×?ížõ‹îÚ·½¯Óω¶øcGû¶»öãð?Šwÿž»ß·ÁOºÿB<ûŸÓßO¸2¿áúø¿ºkŒ‘¿ïêòm׆ ÿ¶k/ÔΈºøöômõ'¢<Þõ/\›þ¡+ûÇ®MPþÜwÿ…{ÿ·]?ý¾£ý÷=äî÷}oþe÷Žßvüÿ×Ró¿æÚ׿îžÿ'î}ÿÎ}·ÿŽ?ïÿæRœ ä¾Å·úêg—âXøѨ/Æç?qå= }‡yöƒô÷[²óè\½¾-úóçÝ}èïëh?ëhßruÂø-÷÷›î»þÂÝó[KqÌø>ø)÷®ÿîÚuú[îûÿĵ‘ŸûäþÅ{ÿwñ;ÍŽGöµOº×?·Áÿ÷ûÇÄs~Æ}량~þ3W7Ù·ê¾á÷þ}GØú=÷çÛú¿¹vòãì§\;ú6”ßù€±üÛî=¿çêoû®ìϺþüIñ½~û GûC÷÷ç®,Úǯåä~£~Äñÿ«+ówÜóþ‡ûû»î½?æÚìˆ>üß—âüÅ7aü;ÞŸ»÷ø6@ýÿ‹«ó.Å5öÛîýæ¾ÿþ†ë‹ŸpïüewùóEÿâßtxÞ¿÷þ”û¶ìêÿm÷ìuuþÙ¥8&ð‡µä¸ïü?ÿÝïŸsuü‘¥¸Vý¤{×ÿ}àû uþûî»Qî\½ÿÇR\;üÞƒòÿÞñÊõËßsÏö{ÞϺ:üöR:îQcû7Ýwþ´kw?×üúÿgîÞo¹6úQοßvïøwî¹îêõ¯–âüûñ¼ÿì¾ëç\Y|ç¯ þquûsGû¶xŽ¯ß/ÙqûS®mþhC?öÑwÿÚ•Ã<ú%×®¿ïž÷»â÷Ÿ¹>úcW/¿úwú±èûݯ‹¸ÿ×Ý¿Û=ãw]ýüºà÷×wíà× _wÏü%Wôÿº×èŸt¿Ë}Ã/,Å5 }þC®ß0öþ…ûý{®}~Ú=ËïW~>ËÑÿKv|úqô+îß_uÿþR§Ž¾@ûOKqúY÷îqßöëâ™ÿf)ÊH~Mþ÷Œ_\ŠkÛ¿ußømWö߈>üÙ¥8üþäå_^Šk㟻çCžü—Kqíú¯¢Ÿÿ™û–qïÀ¿?êîùQwÿ¿råÿ`)®ûîþõãø[¢ßP÷sýó£îÞ´eÆßq÷ÿ÷ÿ««ßßäåÌ¿pïþ Wço»ËÑÿ|)ʳ¾OÞ=õøI÷Îÿ¾Ç•—ÿíRܽìõÃKQùQÑþß^Šrþ8Úßrýâ÷8ÔùŸ8:Úscïï8¾Ÿë?îúûW:õÿÓ¥¸?üÑRœëϽÃÇ?rmõmWŸŸ[ŠrÆ?Ö±¾ç–ßK~×ÝûóîY¿¹åëweÿ®£ÿÖRœ÷¿í¾ÝËWÿÀÕß×ûÇܳ¥Ü€öÆ:ô/Ý}ÏÕQŽSŒ7ì9ÓÑÿžûûo®>ßrm†±æu°?qmþ-w?¾ëgÝ·û=ÄËN~ÿüywï/»oúgîý¿àê„2ÿÊ}Ç/»w€ÿC®þèÞÿûîhÏŸt¼á¾ïçÝoÔk‰ßÓü¾û‹¢m¼¬ê×]¹ÿ`¿ÃúaWŸ_tíŠ÷y9?âîÿ£¥¨oøþú¥¸æþ÷Îßåýžõî»ðÿ›«÷ºgÿKwýÏ]½ÐÞ?½”îY¿/¾Ãë ¸ÿç\Ûýªk—Ÿw}òO\Ùõú÷m?çêý-×Wxço/Åùß?±ÇâÏ.EÙȯ•~mÃósú»oAßþmWî×Ü3~ɵ5ÆÀ?pmû+îû~н뿹º|{)Ê7^føc÷û?ºgà÷rmäå&¬Ÿǵ!Úó¹~Å÷úúÂÕã_»öþ/î½ÿt)îxþîRœ—?ã¾õ_»þÃ={Ï¿põý=÷û—Ý¿xö¿]Š:Á?tuÿ—î÷»vø'®n?äÚÒ¯›×õͺoÿGŽö–¢<ðÝó~ØÑÕµé»züŽûý]ûú>ð:‰l{ßî¿å¾õÿé¾ó‡];àݳ¥¸þüØR\«ÿÐ]ÿˆûö_u}ó'® 0ÿ~Û}Ë?suøÛîûÐ_ÓÕÿï»ëqõÿ!×/æÚmñ«Ké:ùg®O~a)Úçþ÷÷Óîï']Ùß\Šû5Úr€ŸG¿áêý îûþнS¶ùÏõëÞ/¸wþªûþßXŠzò¿q|¿&ý¦ûý3Kцökî]ßrÏþ»®N^¿ø÷œŸYŠ{¬ß[þ›{¯ß»ý»¼MÀëìžó¢Ý~Ä•óóü—ÝóþÜ}ç·DY¬™?êÞýƒ®>ÿÔÝëuþo-űá÷¼û‡ÝõºoûAWî‡Ý3½líe Ÿpõô:õwe06þ±k_Œ¬›¿¸íH¨«”UüÿËÖŸv×yYèþ³·»ª«\vuÛe[’%K–(‘Ä ‰™IÌó<ƒˆàÿ¹w/dzö{ªî‡³Î9ï±#2S‘G°M|6ú×ï,¸Ÿ-ÇøÃwÕ?óÕ_ûʯ÷°×ŠØÔMl¥_‰ €)oÕoÆãŠâ÷Ô5Ǭ§û_¨OÁ"áëëªËs‘åà[Å–ï¬6˜gm ~oÞ>Õ?ÇZgã³PížS°œ&~ý¹žs;6ëó‹2Î~_õ›_íEÃhÑð¤ž]oüvûÿQå\T{,[{E#~'vã~Ýc|à“ᣟ+1’÷Š¼¹|Ëén]kÚó§õþNÕA<„ññVÁmÀlñsñ#gêÿŸëÝ¿U;FªNóyÁ‡§Ã_g[Wôôƒ âçZßt¼xw¤øC–äÎý¿\õ|_õÛF;PpÝ«ês|eø6¾We]ÝÛEG}ëøÆà’ø«ÃÕ&ÏãÇE¯é¶üÎÖûŸêþNãyÆ0Ø ²ðPí]©>³œÎUÙ/{¡ø8X¼|¡à®ÅïÃ*««®½RæðUß<+šLÇzoñÅïÝðé¬Ê€&ìfdš¹~]t€i.W àï}eÎÿXü©¾tmÕ6|š.ÃY¯{È<ýŒ]|QüÇN4ýÈß…b'2Çï)¶boÑhÙðxÛª¶õ+ú¤éw㯹Ì'Õ_¯yÂ>­ë.k ÊÞVâEs­ùø{¯­ë¦ÁØÀ˜2çûÛ2sT<›©ò¾?ï›ûŒ€˜6ØXñt³îÛŢô¾êè©ïaE&̱ñªg·ø÷VÑGwEßLµÙòp Ì·o´Qíó˜a± ­)ñ•³º>]}Î<Ã\1]ïî4îàÿ¾Wâ_ † Äð£¦êxNOñæLÁmKæ‡åÊú 쯫îÏ*vï•¢?À.˜§O•¹~£>ÌïÇ º·Š'ßÖçC•éþ{]|w_R°Þ1E¿"ÛèYtÇ´âKº®/´Ü1/0?}§ÌàuŒ‹ Ka~#†r¢ŒQž?¨rˆ'œU›Üî5ww9èõ;7%çøÁyñp¤Þû¤Äqñ1w›Ýïr±ß?)ú™Ë˜ËÁµiG3¶r¬øƒ¼.L|`\ÑwõM›LKŸ¢—.•ØÈaõÁGÅ}®ø¼sP× q´Ê$Îã1óºÊqNÔû`¤þ¿U4ƒï¹¼ß+y*7ů %Þq¨`$Å{ìÊÏJ,}½Ê½ªòöŠ¶ÃêÃ媹ÂÆ÷&®‹ì0®~Tâqøø€ØH'UßRñsR±£ÏŠtwÓÇÃÖ›¯ÿþí±¾YíCGá“­TÝë?6:þÉQÑÖ„Þf\a70ö–«ßª®óFœs­êz£Ä-÷ªŽ+EïW€—|ªöC“ÛØ©ÌIËE×NÕýµ®“¿ƒÜ¹ÿ¢èµ£jÿ¬XQtu“Ag‚a6「)è§æ·ëõÜ3^}zUߊ¿®àWU6±¯™ú¿¥èê;Wb®¼PbjŒ1b^· v1¬øæ•uÛ@õm÷¸ìP|D|¾WÊÜó±Þ›Uâ·Uþš2>ˆ'šÖ)%¾OÌ™˜ø ¾:~¤ËÙ­¶!§cuŸ²,{`NÄÍûŠ>|M°e¿N¹©¶á{€x¬u+zÿsñßý°]ï7Sò‘΋Vô(9àÕ³UΠâ7šNËõŠb÷~*z‹wæ¹uãU=;RÏ®T}Í\#b›ÐHÿ(Ø9úíSµñ²ž=¬ö}Qìúµ¢±·ú»a´hýP¼;*þ"ÓàhàGä:Ágæý§UþLñ ÌäVñùÖª ìëêâ5Ÿm~§Øïæá33ÇÞ#>ÓVåNÖ;ËJ¾ól¯¢s”ØؾbW|-:ΕüÆz}ߨƒùä±útPñÓ]ætÑ»Yí;Utc»Zã-ÈëßõOìÀí~^õyLw*9n¦ãeõéLµx¶ ¶ÜUñŽù˜óìC=Z¼ü¡êë+úVªìwÕ·`¾#U/tá—€#¿Wò]ð‰Þ/ü^—DÖÑþíð¾Ê6Íä‹,V½ÏªNøɸ&þô¹Þí-^)ö‘çmÅnWbø¹Ä$Àgç•ùš˜øת_ üëFÁQÑ—ë f /¾VÌKM?⹂­ VøúmÕ.ô¶ìa£®ý¢é\+úÀ(¬ûú•¼<ói¸êñç@™hã왢ߪNæLl=—ËœLÛ>«5Ïv«êvy£Uþ|ñ`Zɳñý©z‡¸þ”â³¹ŸFÔš«Ä7øá¬2ÎǪŒ—J,¥¯ÚÎX#Þq¬Œì-ð=ÚýJÁãÀ"V•Ü®Ëâ;>:út¯xðÐàó‹¢k\‰I¼Vpȳ¢‹1 Ž~®ŒÕEþ7‹Æi¯_UrhüîÏJ^01tF§‚iÓ—àZ3Å;0Æ~E_NT½ø!øKŧÅjÿ¿)ù¼ûAÉQ"6‰{§ØrçE“ÛŒÞA—à¿==ÿ¥Äœ‡ªN÷5>燢Ñe?SbVŒÆ>s5z×رa-ëW묯Õ/ØgƒŠÏ9¤` änàù˪eï·ª§¯Ñ'Ø&çgJžü°2Ïᾬö\}}Õ¿–¹åj¯iꮶtWno}Ì×…ª·¿žPâóM|Û]t¡äÍß)1GÓ ®γ§ØRo, Îíø¿Šíò èÎÙF_ß(ãÜÿ'«ÚkY?»¦¬ï ±£ýÎHý& ±¡`9øáäLÓ­`,šÐ N²Yuâ›®ïÁ³,÷ U×—¢}[ñ1Í×¾âùêƒþOËUÎKÅÞSr€¯, ÑØã ‚^(9ñø£ÿV¿§ªm«õ½¨ø€øÚ¯‹ð•u?OÛ'½Q|7ËÝ€Zóc®«âçŸôÏqbý¾x û¹xiÂ_ØhÔ×Ýh÷›â‡yo™è,:öÿ×eØ/hSbcUìÆ;µú¸ÄF”xÕXÕ5¯È-úìP‰…<Ôw¼­k“õì|ñfZña§ýg¾ïÖý/~ (¹lØÄKJŒ?äHÁŒñùßT½[ >‡ÐÌùOýsNzYïm6ÊÄoS|hxdþÿ¬ÖØþïëûÅO0Æe ¹ÄøÁ!è³&nv®¬Sy(ЃnÏ÷ Þß4ý)ô¿i]Sò†ÍËߟ«Læ¬keý6×Aµs§Ñw¦Åãû%ŸY}¯øÀ÷ëî?¨5>²§Øe÷Å òîÀõzߺ™wó%§r_t>Uð:0_t±ùiYø—âÛ3eÎñs“ žu£`;¯Lv¯êý È¶Ùëâ!þÔ¾Zsëš~ ¾)´^+q‡o”Üîâ6Æš¢›–ªoªŽú¸þ‘j/þÝ’‚‰¬*¾áIµÁÏc/ãKÏ+¶¼ë­þ?©º­KªüÑzýõ'Å–œ)þþQ‰ñ!kîoë@t c ã_a'`/ƒ_á÷Ì5x_LßcÇ)s!ã?í\Yù^­ò¾¯`v¾GL¼9A¯‚š§ÓŠ¼Ðø Êc,_À®†”Øõ¹?Æê¹·E1%ôö¿4øù©úüÿ =i¾l+¹}˯•\ÊÕïàD“õ, þ•uŒÇÄi•ïùiJÑS~w¹úÐrþ´ê5ßöê·i¤êøXõ/(2º¡Äâð öë?±GµÚgÕ0°Òÿæ~ÿÆó÷»âûqµÉÿÉE™VÖ} W˜Û‡”õ^ä²=Sâ‘æíþÃ'^Ql¤)S®#~ø¥ÊxÕè—7^uV‚¹‘?qWïwW?](ñ>æV]ÌäÙß9ª¾'fF¾G¯’ pXï*ó6óøœ’ÿñ]Õ˜/,/ž»<χ¿PüUp:椯õ,qR敵Åöõ˜;¿Vp{pv·iK‰U6}Mt!:Òº;ôK½óV™s±ÁÀwÉmÞo”9Û i x¸Píz­Ö5ÌÛÊZªíFQϨbþ¦Ì7Ä Æ•5dŒ0FlÓÎê£É¢i©Ú:Wm»Åz]ü(:‰E_»«zë}—7¤`Î`²¾Ž-ƒï¿¬ØÓ7Š¼3þZåÚnë®6Ú×÷xg²-õ­â× )9¹®Ó2p ø¶sE“Ç2:ìe•Æz¡äncã ‡”µ‰økØ‹Jlð®ÁßÛQð.æ·§½xËœr¨ø¤“Õ÷è1ÏÝcÊZ‹&Æî:Ö Úãdµè~Rÿ»Ëåý¦à¡à<ªwI‘;Óçñø¼îM+Ø1˜î°[|ZmwýžŸÑ©§Jìã¯ÊzÔ¹zçy=ßV|©¾aL¹íÿ[ÑäEœ(ùïæaGÕ׫äÏÂ'ü:ó‚äî¢ÿs•7ߨƒuì¤Çâ‘åóµ‚Uî(ë…ˆ7}Tôú'%7êZ™ðó±-o”\É*ÿwÊ:î+%·Ç÷–[Éý~uW<ÅŸ³oðãZÁY=&Ñï¦å«bË+ë)˜KOê¾ó¼ÞYU|:[ö:«ÿMßÊ> w 6æþÞRr?LËYý?TÖÍU]+½ÊÞ.·Š®>Wr6™ÀòÜ'–¡ÅÖÜSÖFS¦ÛHÌ‚øs)ñóå¦ÊµØ,þ+ëb‹?kõ™Vü¨·õrʼ~úQ‰Ýbg=Vyæ ¹NƒJœš¸vð}ñl¹ø±¨äf¹½OªÍ‹Å×çŠMù©Q÷Y•KÌ^`oö(¸;4€]!‡Ì¡à±Ì}.Çz쫲‡Ô;e¯†ö¢Ñåÿ¤¬):PtÅeÕë¶{RüÙ¯u¹ýs£ÞN%ßòVÁîîäVñY&ŠG J>ñëºþPßÇJ¾éuµÉúöEÕÙ^|´\õ)¹£Š?û^Ù7`¬è:Ql~|ðÅ7Ëò®‡f®;/ÚÚ«Î[%?ãQ‰\*¶.y=מ{,KãÕžßßûÊ4l½àDèW—yªäë¾Vl1×kÙóÜê1‡ç:=.È%h«÷^Õ;Ö‹¬v|Wmê(Ï(ñžÝ¢É´XNª]¦ø~þcWí)kÅ蓳j#²2Uï N0¯à“½Õ>Ï•ø時{ü}¯Ä›ø†Û>[}1 äGŸ{¯ìKFNãlK™ß6”½5^(ù˜Gu}I‰M)ùó•øGGÑp©Äƪ-`.¥®){0ÍVÿ~¨¶ V¿û÷Å—ý¢`K«JŒº§úÑýþ«o#xVõî7ú×u·/ÜNì/ëÊC{ܯ>ð½uŧúŠÏÙ¡¬]°Œý¢Äî«íûwñMV•øß›ê7ì%0~|°MeÌ£‹°×V«MÜ™À¯!¿Ïï{Ì€K_ÿ|ßrg¹üQÑ-`MÏ•XðµRlP°°MßÛRr½±…v•œaË=ãÇm_RöRÀvYO•uÖŸÕšC;§ØÍÌ—JnÏMVYÝÊœ…=úRÉ1'¯„¸>ÿƒ—ƒ™¿|Tr½_WÙ¦ËãÓ²p Ä]Ϩâë Óª?w½…Ln*cr®ÑÇ÷õÞ‘2Ž'ôþ•u·¦ñ‰bkà(qžæ<®¿Àfˆá¶oºêÃæïöÿöÛŸŽú4ïq­MYÃéÿ_•µ^×EÿQÕaÝñMщÞ0äP=©v‘ì¨u½6¸½?ÇJ^çiƒçÕŸ½:»ëšõÁ˜‚ý¿*¾“›r¥Ö¼t2q}ßRâÄ߯üsGÉ!3}–¥>%p²úÕ÷úÜÌ4 ÿž)yIŒÿÞS0`óú§ªÃ}n]mR´¬)qÙÅÎð磢ëÐÛ“Ê>~ÌsÄ"£GÊØ8Pò‚ÁF•¼™EŶ4Oñ/÷}I®E÷fµÉuM(˜·ù2ÞàûcÑ<ªàTÄNÐÅÄdº¼d©hïSrÈWxTô4ô2vz”ü·ÓvÄÓªÛýܮ蠩ê[_{£¬×¶lX6‡ª¬Ç¢o¨h™VôÚ{e^|PäqmÓ­èÓ™âe›²gÔ²²?’y‡O1¢ÖõH7ÕŸ#J·i:)‡‹ó”9{{¼ñ.1Ãzý¦öTÁ•g•ý}¬·QðmpäÜcà²fü¨èZ*þ79«ö’?cz‰3o¿VkLà§âÙ°2_Ty E÷J½Ë¼Œ ú¨ì­bY¬þ<+ú]?ñSe½ëBg7úbRÉI[S°Äɪ÷«2÷º<ìñéúŒ3÷*óÆe¶Ýêò:À²À¥ŽŠ®¡ª·­úì’àú™s^+±êmóêS|ëª.—¶xªÌ½s ^äg,kE+~¹${ ~ØSuZTt9:Þu|Pp)|ïk%/¡‰¾WâòÄQŒ…x ´Ð7øÚ—Åü½e^ï¹PÖ]õÝÏȶÿk0ÿ®Äw¦ªÈP{µÿmµkNÙg ½òXããƒJŽø eî^ýK>ŒŸ?SrÈðEУîßueÀ`Õ‰ÝÔoëŠ/çë–ÇUÆ¢i£ìóÉŠÏ‚? ÞÝ@Ÿø÷’“9£ÌQ`îçÕzþ«‚Íu(ë…†”üÿoŽÛ-ÅWÝ(¾=*sr趢o™Ã®”ýI˜ÿEY{„oÅüxÞ¨óº¾ß)˜Â£²oÆz=;¨àÈëÅ»ÿ«Ø)ÛÊZ#l§‹º7R¼ã%'¸MÙoä®ÚÚ­è!ê—ÀwÛTö˜é¬þê¨çO•˜Žë±®œVÖ$N)±—÷¤èÅÇÂŽ|©è1ÆÝeµå¼þo*åT}›Q0Ó/Åó﫼UeŒm(ñº#%·m§hë/:Á‰Í“3%ŸÃóÛaݣؽƒŠ^cÄ?Ànþ¤ø`úËÕŸ«}OÔºƒ±Š6Ye÷V»Åÿse­?ÿýsî¼UÖ’\Ö{ô)sØ?¾+ñè÷ŠE[ø/ü©¾-‡ÏÜ ÿkPñ=±ãÉ3¼TÖp¹Lë½¥zþ™2g‘ÇÐSýå:¬g<æg«Žë¢¡KYÚ]õZ~,Ïä}€m¬){ŘË3ºðXlÔ/Å“Õö¶*“ï/ :z•µ }ŠÚ§ì-Ü,¯OÁblmP™3†êã± žùXõï*>Âbñë@ñ­ðý>×ïÊ:ý9e<®×õJ~Í%OL¹½Ê3‰07)û}Pì&bRgUÎnýgla(¹ à€à@.ç'%wŸrM±Uñ×–‹ž÷Å rAè3äÒ<›/Þ¾RæNdõ¸ÊØUòEñcÀt.ªLðTìC|“kµîAû±ñ 1²¯JLΕœ=r^V«=´=þUÁ:W•5ûø‚ŒñGeCëñ%×ýKœ¼iWöAGuÞ·ümÿ›x†éµ,{NìSöçUðl×5©ÄM7xî#c\Í(ùOÏ}Vöm½«~À¯ú¤¬£Ûª¾®¾©öœU=Èؽi^Qö?µl<¯¾.:±Õ;”¼¨íÆõQeýÎ}•ÙYýú¥xo½`=e¹Æ¶{TöCxP°ip^°¡£êãkemù>¡`…_=p¥ÈåÊãã°~÷Ô;?*ë8ö”u!è~lÂeNÃ>5 Ä3vÔº†ÝýgEÿ,)k“osŠŽ¹.ºß)cñDÁo”=[Àn7Œú£²?1cûºxv\üYQÖ½à¬ûJ Êô‚åVYï•5Ï«xuØàËjñjHYgñ¨Ì뽊Íz«äLøÚ²²ß6ô<©ç=憋w Š=1§è6â§jÝ‹? »áÊú`üä%GdJYÿt§Ö\kô úÝ´Z^6ÜÕõX~Ç”<0l ÿ©¬…¸VpçÕâñŒ’3õ²è1½ÄŠÑûÅk0$úÿ|žxœË£ú^‰Å®+ëÕ¯¿¯¯žGç Ÿn7qæ8b@þÁö9SÖäýX×\~§²O7v˜ùOnÆ…w«þö½'Õž¾âó«âÕ@ñp@Ùÿì¨xCì¡_Ù ÃϽVòì.}{­äçbÛãïÒÇàÁÈ4YÖÁ(û”\P0ªAµÆ>Ú”9ô·¬û›JÎ.~ç•‚ƒIO¿ð§–LÏ´íŸÖ=s§ì-ëú¬#‡‹nÓû²îáËU{Ì÷Ê^<‡õ܈’KÜ©äa?w)kŽ|mGñÚ•õhàèü5dÔóÛD½ FnYz¦ìõ|«ä Vò|Ž}ÚQ÷gŠ/è…AEùó\ÁªÖª­7J~£å飲¾ž>;¯¾9+yÿCÉe´<Î*>Î+å¬3ü°/Å;÷­Çåx]¿kÔuÞø}©È"¶Ê¤2¦o‹³ŠÝµªØfÈ™ß_P|œYeÂC%7å\Y[ä~D'èlú^1ŽÞ(¶æ‚âçO+¹&ŒÍ£ê‡[ÅÏ{PkNÀ %ÇŸÅüþ×â1q“v%Ù¯èƒËê3ËÚº’ë´£øÂÈñSµîÌ=t·iý£²Ö¾õ({°˜·+2¬Slÿ*û+vÇmѵPíܪ>B§ø½©êSt=8袒ŸvWïL)ö̃r.†Ûò;e2/ ³M›×÷þCÉ#>TðfìaüÍÝ*ïY>Ï÷)˜á;%Gªió3£óÎëü:—9]ý–¼®¬á:Sìæ0/æ‡keÏpT1Ëψrv>ùÃÊžgÅìüût“ žotÙàñózï™b3ÝV»°ÉÇÝSõM)gº¬_¼¹QöŸ:Q+Nƒíâ¶L({îô(XyxWuÝÏl+¸|·b/âû™'ÇŠ3—`áo)~õˆ² l ›—1 V¿ÐW?(ë„ÀrÓ5eЭ¢ÑчÅk·{F±cRÎT"O ÿ |©Ïöû¯”Ü]lâæÄ]Go½óBÙãȺõµ2_¿©~VbRŸ”üd®*ëKÌ?äï±Ê\.:<ºM‘/bÊÌËo•½¿(k~ñí^)òÞ®äAžÖÇõíŸÜµ1“x[eöU9Ì×.û™²·ç¨(gá€+-KÊ^ËÅ—Ãj£ŸÝTνªvu7ú Æß=JÎ#XYGѸªèk|`óÚcÖó‰õáÓÆ;®ëXÙ'œ¾î®òž*ç‘<¯rÛ‹ßmõû™¢ÇÕšüs}DÁúÝÏÿ¥àm`%`9ŠÎRb˜3UÿY½·PeöU=ÄdÀm³{L¯T¿þ¢à–ÄZÚ”œIðö=E¦_ß Œ—1C›™ÿÍ7ðÞ¾Fÿõ)qj|fLŽyÛiAÙkÀÏOUYS öÂ|ÚרŸ¶w*ãðB9Û?yWY«æk–-l |;pËí*w¢úã·â͹Z÷óv}GŠÞýFÁfÉ÷Wö^Å^ÆžCGwÁW|Ä3ål2°ÒËâÅ]•½XÏ[O>«ûàÂ#Ê&xÛ×èo· ¼¹W9«d¯úy½úw´úÞíÿÛÿïó¿”}¾ñŸ·ªÎ«zv¦è5ðŸÁòÁ\Àz›þØüÂ&jâ |TÌgËþïª<ÓiûG\ÌØü¾S°0×gÝäñÔ¯ìÿ4 œw„lñØò˜ù¨ìQ†mÞ^uÓ¿àNÿò@ÁPÌgÏÖMÝÊù@ø½Êþ­?•ó°½-cóŠÜb{ã›®‹j?8îhñàTÉÁ"à~V|Ëâ‚b+àÏa c/lT½?(öÆTñhRÁŠ°YÆÌhÕ㶣?¾(XÐ{%¾<¦èmì¡Ueÿb×U¿ÿÿEÁƒ˜g˜ó]ÿ‰b?ã_;çá;Evxÿöƒ²ø]µ[—#v8vô~Ý'엻]mÆV°\¬+±Øµî¿:Ù ìhP‰3ƒmZnVªoÜ}¤A/ýöزMF|ú}µû´Ú² œ/&z œÕìržÿ=þŠÞoŠ^朷U.˜òß”\$â¶×Š­¼ªä €õ=*þ öv&~³±Ë'ÊÚ3älp¬~ß*{¤š65QƒoŸ}R‰·¯Ài÷ùÅfbÎ¥ésÆßÅÚ+ž‘¿žŽOŒÎܯßKÊzâ]%Wý¸è1­gjŲñ•™3JŸ+¹ðn?¸ùº¢ûð¿æ”µ¡~Çú’øì;E6¾Qâ³`hu±¾•y›ñKÿÓÇ`÷Uxå‡\Å~e¿,æõm%v¹_}F|ヒ r¥ØR—Å3—M¾ò»º×­ì;ñE­yÃ'ʵ~Ï:DÙŸÑ¿‰%‚§}Qöuz¡ìÏÿWõw—²—þrõGs\ßÿ-“EÛ•3Ÿ?«äí¬T¹ƒ >OLÎýþZÁsÀ¸Çô“¢ï·”<‰]eœ¾Rdó°Þ³Ý)ûâšîQeÝŸ?¿VßW]Ê9*÷Õ^æÒͺ6ªäÝœÕï^%–OÞsk`z•<ÔÉƳØ5ðÝïbZס‡ÁN°éßE®É7ÂÆî"ßqMñƒ;”¹u´øø›‚_)1¯ã¢ïÇâÓŠ‚ù<(qÑã*>ç9Tr£ðíF”õ$øKŒQóÿv£>Ì`NØï—Õ–3›ž)Ú^V›Àc|ïZñ±¡“ñ´©œ|¦Ø’~{u¶ži~ö”=yž^Õuµ§Ê8æË窿»ñ™Wö¿¸mÔ? ìu}®¬ã…^6%ÞŸ‹‡ãÊÞ—õÞ¹r¾Ð«úx\Zˆa?¾QÎÆ@’/±ªì¡¿­Ìç¦éJÎÄ­²/Õ@£m×ʹO¶K_æª øÁæ;óóÖRã:öÀÓêwÿà &9]ÏTΪÄ4Ícjµýï•üã%«·ƒ·.ìTöqíSìÔÓâm¯bŒÖó~βõ³þ9®ˆ-¼©>û[-ÞÍ)¶­yök½3^÷ž)~ º¹§î{LXƘãˆí`ϽVÎ9Sæ>bPÎ'ø¢ì‡×®Ì_ v¹P¿ïÛuTYïÒ­ì ÞðVÉËý¬Ìo´ýLÁ›ˆQ½VòÛUötø ø°PòìÝ/Éü<­ÄÛ±šywkÊz»;Å—\Wö ÆÄ\N>ö½¯3¦ÕË{Tæ#|-eÝþ¯JÞ÷B}ƒ1m+2Ír]mꪲú”uèT󟤿ÚÇÛ¥œ_d¾¶+ñ¥ñzæ­2f÷]·¤ìÕµ®øØ^§õ¬ÇåEõé r;8ºe±Ú4U¿g”|„UeïPÏ/óÅïéê÷/ ¶Û_ï÷Uy‹j=Á¾X¨6v)s¹ùñL9CbP9Çl¨ú£_± †Šî?Ïm{Ê/ì¢z¬ö(1æ;%ÿæE½¿¨ÌiØKJ^þûâ7xÁ‚rǪâccþNñaŸÈ ñ€›¢Ÿ˜Ôå|+pU|¼…*œá xó¯ÕÖ¹úÿ¦ø;¦à(à³—ŠËü¾Stž)¸óI}NÕznÍGe=‘}”oŠþ¾PÖRÞ*9a[ÊÞn›uco¶èªv36Úåãã¤Ú­óµÚwT¼ÚTb³õü¸bßn)> ´L(yøð—Ê:gdý嶡ÏÁ¨¾(Øx'fNºQ° —Õ_õ|W´c3¸œåÜš…âák%OïN‰Ãn*yvÈ&>‘ùÞ¦èqð½wJÜû°ž5 ȲïmÔ}×M® òs¢à©¾·ß¸¿¢äèñý Ä‰×Ž+sö8zÝaz÷”ܱ-µîuG¼gQÉ¥xTb½ÏŠVì }%ÖõIYv\t¹o;”\ójTñç¼\Qö÷x¨òçùs»O•ýW¬{g•¼ómY±Ï.ý‚‚Gî㣒¿`¾XÞìk(y7.»»êÞWìÃázæ[E¶ˆƒ~Që^ô–Õçz×”3Œeÿ³y%ç~@Y³?»ÞèìBæß?ªkÓJ®èAñ–ØΘ²÷þ¶Å´²óþb»¹ŒÞj³ÛÃX‚æô¯Uv·²ÇâP=û¼Þc>¯e»UÖFû÷ž²ï×óâß„²þð³"7ØÎæÅe®ß©6÷ýèH⯫|ç­Œ+ñl0ìØ% ;n]Á¸ÿRÏüªìY²U´â?=(9™_”ýâ?ª5?˜þ¾‚‘cÏøÝÅßß8SbmçÊþ ~Ǻ³­êF&ñ©»”=ñ§•5½ýÊ~-Äc.<éV°AëÐWÊãÕfôŒùü´ž®:N¼Ãg|PüÎæ<Œ½µ¤`–¾GNcr²èßUðÔCåìLðÜóâÍuõéuµåVY—{¨`Ê`/Èϲ旹 º‰e~môÃ×j1ÌÊ8:V0F|bwÅÿ·Ê9ÕíõΤ¢Ë¶YaÌ»®eí;þ·¯+¾º{T±•{l­ÞÅWݬváb/âÛû]©žz—د[æÞ):Ïåâóí‹Êš9ËQ_µñûAÙû¬]Y¹Xu ü·þZVòÒš8$óÿ¾bc@‡ßÿ¨È:ñ®A'r¸]ýö¨V¬k«ñÞ…ri“Çø¾þ¢Êh+ùߊÞC%—Õí –x®ì‰Ç|u¯œ öG?€ÒfüŠ#ƒGn?>ñ]ã]ì%üqì7ËãBµéç˜/zñïÉþ¨à—ŠÏžjžî(g—¸=Šß N{¯`T÷EÓ½g€gËÊZËeMé|=þG>Å/Jô¬²Öø¨ø÷‹2—27CxT0hmâåØ̦Áxw_Õ¿XuÌTÝ¿©uŸÀËê bPKjͯëUÎp»•uߊz¡ÄÓ•¼æs%b –©gJÎà±²ö÷¹²‡¶ñ÷Jìó¹’+õRñûú”=´Æ•½ŸÀÖ‰ƒ~*Ú_T{Nëžy´§Öœ`p‚“F=Ûß~î;Å'¾hâî—CeåJÕù¨Ä³™k¯ÿɉðssß*v(cÝ|Sò•‰Wþ¢à"Ÿ[,¿¸Ð…r¦˜û'%_×2ó¶è~]}Š¾!æj;iNÑÿkŠmˆÝ¥ØlçʾSÔÓÞ å¹¢°©-+¶þVüSÆ×®‚¯`_qúù8̱àBGÕdÈ´ôTO”½Á$™Ÿ;•9Ó<±]Š㱉îÀ>¹UrfÓŽë2ú•}K>*¹S£ fðµQø6.¶ þ63ó0~e¹WÉ×t}ƒUö¸‚Ÿ|PÖU¯‚c]WžÕ{ÄÃÐMLÄï¢ïüÞ°r&Ý~õË°¯C^È~Ñh™žW|3lÇ_”xäYõáYÑì17¡¬Û8Qtüj•ï2žVŸÂ_—ß¡äÝ`oN¨5Oc[Ù³¡§ÊiÚEÈëšZýCæcK*yQ66ÇÀEãÚáëküuÆêžbž)1,×ælÙëTp ß[UìóŸ‹&÷ãß”üÇ¢̨»èžWô:mXSü¼¢É}ùAÉB~àgoÕ¿\mÁö{TðÈÍúM,èOUÖXµŒûUõ?þi—Z÷jÿûTß Ê>$“Õ^Ë‹ÇûsÅF}§Ìó¾þc=ߦì‰÷Z‰›O¿ÝGjÍYqûû•qûØ Ü_qCÁÃ{•üGæmb£ûõþDñí«"ÇÌûŸåâW»¦”1…vâÿÊ8_nöÿ¹‚Á’“G¿`cÏ7Êm¯þb¼™žÃÆïKCþ{Ñì¶(þú~õ©iÙUüF÷·åÉzã{e­ö{µæÆ](9M¼»®è0ŠwÊÙcÈ-1`ì‘kElU}[ÊžPÓŠ/ÿAÁR•u$àÚØËÈÌ|ÝŸ¯ö5úËôý¤Žï %Fíqî÷¥þÛG?UðCìGì‘—Ê<ä1†-u[uO^oôµŸyUßE/vãô^ÁW”œ“±ªóE£.¿7Tí`îÝTÖÒâ{Ágò¢°ý¼°¿ÚöJ9ÿõ²xiÞW]`WKʸsJ^ÂseÂí¢[š±¶[u2>f”uÌYè«ÓºÏ< Mè:òfŠ.ú岶}£èµÆtþ_}&¼¼Þò4WüÂGEŸn)±úöTÁûp žAO¬*èGåÌ(¶Þ¹’³C¬”œ®K%ŽÐ´o_(yõýFÓÖ§ëʾXÊÙ§`œÄ=ÀŽÈ/ü¤ìíû³ÕNú÷uÕç±3¦Œí%¿–²‹—;ʾgËÊ^¶Ônÿ©QsöÊ€rV˜ïµUÅ#ü,°ÖûúÌ)¾Ÿ?àYŸê·ykùy¦ŒÓûªÏå=iðõ¬®m){¸F•½•ð›¡ûÔm´¼7vŸ£ÛVêû]•s¢øøøÇ“Õäl‚‡£óÑûÌËèÚyeÏç¦?0/“¯d¹Ymôáœ"/Šíÿ¤äDO_)ëÇ_+óbO£ÏÜë£sÅfÁÞ骲ÌëŒ)e_Ht„ÛoÙÜWΫÄoyß(gUÁŸ¸÷¼ÞùRõw+þé…’ãÀœwÖxÿ•rn¦i«v|QrÚüýoJN‡ï[ÞF”³G†ÕºöœZϯÄoÀ÷û¨`ÓŠ^^«z°/N•¸i!†³ªä†)ùìŸë™ Þ´ ìíòXϺÏç<Æ¿èPöMx,žôÕw»vý–™— þnZ¬Ï<ˆ¹ œÿFñ¿L‹Çí¶'²\*>ä’‚]a ÓèÛMo«þ5{ü¢œ‹iš=V-ß(9Á.÷Iý^TòiÁ;•µÆÌià£øÌÌc/Ìf´Á3žó½e]!¶åvÑ¿^|™.þM*{´ÍT¹CÊ9£ ^ŸÁþðÏ6”½n›ü˜ùÑe“Cs¬Ìãæ¸ þ ãnF±a›ãv¦Ú»«äµŸ)˜à±ZÏÛ>­ÿ÷Õ×JNøE‡)ºæA­{ôš‡ŠËDîšï—ñµ¯JLª£èc®÷!·œý¬èý‹2Þÿ¦ä¶OU½#Å_p^—c¹:TtÂvñÎï,+¹W õÌ@õÕ²â¯ëÜT°¬ye?ãsåü:÷ÉÛjg_Ñdoý@ÜìQñ±o•\ºÏjݯõZ‰…¬4øy øqŸÔš?‘ÉK%¶ùEÉ{ãú]ã:÷¢Ë¡úÜmWÁ™‘gó´­ÊTæq|Õ9%ÇsJ™”=ž;ô?×\](ø&:íHƒSŠýÂ8ØW|NtÏûúžrû匯Ÿ2ŸÀrnŠ§–•ueÿšeemy7Öà=öqàÅâ'¸A¯c·îñØŸPì¤;%o`]±Vªþ”=Tn«-/«,×a=2Üøß«œáã2û‹¶¥¢³_­k͈MÌ*g–_3,Û`©MLtJÁ³·ýÐ]õùƒ¯º¦Œ¥9£JˊΨò«þÏÕÞAÅt;w]ø ?(9rè¿»âíOJÜeW™KõMT}ÄJˆ!à_ “Ø{Ê~";Š‚ ÁÌÛûLÑI {jÍGÅž&îNŸ|ªk`§›Š]ŽžRÎh¬¾G‡ŽS%ç;Ÿ9hQÁÙ±.õ4í0=˸ûc£Óð¢îag6ÚòV93Š9䋲~â@‘epùf<»äNÙ¯<ùÇÜQ0§³j ºwVÉgÙVòÇé×õâ ˜¼«:_W›W4á#-*1Á;eo±·ŠL¡Ÿ/”8~>ãv£}‡ÊúðC0ÎaŘRpì° ÷J.B³oÉ:WÎ%;¬kÊúYäsCÉ;S:SöûôIŒ‹x˜ázý­gáÖ’{‰Lùÿ¼‚ß ]ƒŠ~xTp¯¯jݯš8{ÓNÜVö–õ½Îúmý¸W}Ã=ì+¿Ó¦¬ßÙVö $æç÷^U;Jì­W9σ>(6:ãôDÙësSÉ­;RdŒ½@ß2Ö:•X…e¡KYKðÐè¯[eÝAõ‡ù7©äõu(Ò_|ÅÖxTÖ®®+˜Ì®¢¯ë{Q±Kv•µ È>ö¨2oaƒº–Ëôš¢‡º\¼TÖÅ›O J&ø÷•²N”øÞr£Ÿ”˜ÒU£,0½%%¦DÌ‚ù;Û¼ÿQ±ÐÛúÐÏþÏ\z¦Ö³ Mû;x¯ÌqSÊ:”“â÷‰âc“WäïýâßVÕó^Á²ÀïßwU–uT»b+Ì)6 ¾0öଢ™ë§”Ü⃪‹œÃ©¢]‹½µ§Ö=ÐE`nçUÎÊ^’Ðþ\É›‹¼¨ºŽ•3}ÁñM窢/°«O•=XO춽Ñ×øçÊÚ6øcÞC·ù½%Å>ÿB?cãí(kÙ°y«§Êù+ÄFèó _<ï¼A7˜¶àf£lbÆÜû¢ø׳ŠìßžßÀùüßò:¦œÓ̯(klGÈCwñÎz¼_ñ9mÓ¡Cð ¡s­hSëÞ”»Š‹Ïç:^(¾E‡¿íUl>Œäíkƒo¾>£ä'ß*k>*gãmU??*9ôÍc}½ÚþŸjÍ‘¸Pl[|uú‘¹Áe+g-_¯ýNîJÓÇV·öx@&L[_½{Ùè_üÆôà?¹oÐU͘ s'Xè†2_U¿¢ÿgª½¾¶Z´½mÜ»SöG!þ4§È¹Rª­ïŠæá¢ÿUÝC—¾¨ºýßòö‹’cý È#z`Y±?®{\ûJ±°cÖªÝ&bmøŸʸßQÖ"ãw`?*¹Æþì*sü¤rv!uã ¢‹M—ebVÉÞ«2?+˜:ϼF¾ÀЮ•ØêM£­Wÿ7Åct:[Úu6íÄG;ÀF·¾‡¯¾èWò6”\ìfd÷ªñíg°ÝÁ‡î•ø¹Ø1ÌWß*kv•==N•qï²<ÞƪŽE[~TÖÆ»ÿO;x¹Úô\‰A)ùúçÁÀ¢ð•=d™OÀaͧcežZS0e|«Ue_dÌâDÙ+Ö²áqó^9§Ù¯`¥ Ðÿ­rfÔ^£>È-8ÍTÕEÿ£÷ÄFu;»ª].<éFã}Õ¦§J®ÒV£>ÛäÛœ+ës?þ~©Ö|¤«¾§ü3ó€yÏôYî¾Ql}lñme½õeì¼Wüœcƒþ}eºWëºÆ£ÇßR]#G«G± ýÞ3e-ä[eï©gEÓ¶r¾ë@ñãMõßK弡ne,׿¨äù-*s/ñ—[%Gåʹ·U‡ïÙ>øµÑÏŒçÅöYQì–e- ~/¾á‘’›ÿ^ñÙN”óáýŽ’Ãϸ!O†\¾wõüfýžTöA6ß«ûj=#Ïr|¬ä7™Æ]e·ý'e ´ùÚW}· `žøæ휲¾ô²öÀåm({_(Ø6ºˆ|#d ¿ÌôŒVn•=°ÿ Ä÷\÷ˆ²îùÂnx¢è§wEï|}>½ýõÁ&7ï:•<Êïë¼qPÙüÉŸµæØâg2Ž¬+ÿ¡ìqr©ÌYML…2™ã'`èà'õݧè?ì|ë‡j³éÙQÖRö×s[JÞ—¸Uöu9kÔ‹­Ï»‹UÞ„‚ÿ÷(ë)–ÜÝeªç敵Ñà¢WÊþ…´ã7C›RⳊàþWlcl!æc¨Äm°§ÀQûŠ|òÝF]à>`8n#±²n%Vj}dY¢än~Qì³ãʹ(‡JŽÄ¾/œTö'3º”µ.nó1óð†¢CLÛÊž1øÙ`yÝ ÆÌX_¬vÍ(ûªÏ6Þïªvù>6r¯rë›â_Ÿâ¿0Ž{ªý½Êƒn冗Êy4è÷·J¼ »¿ÙíÇ=SüEòˆgí?Ýæ9%wjX‰ 0æ›~É­²×á’2.À˜;”¸úYÑûBY'†FLÀßÄj>Öso•³*‰ñš†%å³’Ÿ5ÒxÎ÷-Ÿ > Ë¦«íÓŠòsýw›¾*yÀ·Š}Á<6®`”Īw‹¯–SìHæóÞ2I,ë´ÑŸçõ>yÁn÷{eïp⟌áBɳóïž*kD‰ùºeÍrlù;T°6ß—(ºÝƒJ.1x2ö6~‹ËîVâÖWUîR]÷ý§JÎò©r"º|Ñ<ú¢ÿñlÿ +¶•i´,Ωu½„ùö\ñc?+ûn*k×°±›ÜcEϤ²VèAYóŠOÞþFÉãûªœùˆßñVYûr]ô*ã ù'e—ù«2_CƒmüeóØÜZÏýx§Ø~v[‘ òDßÕ·u y¿©õŒn?¿ Ø´)¾¶)gè}Qüò⽯ñéWÖ)ÿ¤è€aeש²¦Ð2ÛYÏ›®Å¢›Õ|žVb*ðÝáë`µè¥=eÜ™ÿ»ÊúÁûª£»ê·nžRrt=ýF‰U¿Qößô³Ä^ܶ%îóY‰ ¡3Kø†ŒË©ú g&‹'–×ñºÇ˜ÅolÊIJî_cHÛ'ŠíïºTÖwt(xé}ƒG—JžöÿUðC—õgÅÏÆv=Tâ‡Ø+}ߦk³Á³>%6ïv×sëÊ|dZ-ß–c0=×a]ðNÉoõ»ÄÞŽ‹.Æ­åø¨Q¢eßrÑV÷žÖóøñƒÊºØ=å keßø=µúA÷Š]øXý°¦ÌÛJŽð¥âÇ¿Vbhôx6žë˜«v*{¡/*6ä¯J<:À ð·Ôº7ꃒƒÿ‹¢¿\»2¿â_3/ƒ%»½Ê>"î[üÚß÷ÿ¤` þöµÊþ»’[oŽüLÉ'Ùª÷vkú&Ï4s€ pRÚ³¤ìaèvÙÆ&÷s–mËÇ+e?ë‹j+ö¶òˆ²ÿ‰ùb¹x¡ìƒŠÞÇ/Y©çÖŠ>tøK%Çl©ÊËkêÆye-ÀxÑáßÌÝB°…Áþ äþ4ã؃à©cJ®í²rÏš²®ðFÁ+ë^_ñæ¢Ú ¯N½÷\É×y©Ä暶+þ%y#÷ >>Uö4Ê¿VGÌ{ LþJÑSsÅ×]Å7ÁŸ=¨2˜SÐ…½Š}s¡ä®)ù `LEëRµÓå)9}`GÊ:ë/ò &”½ÎO”½§?kµêê.Z°‡ðÏÇÈÉS%·ömµÝrÜV´®)X<ãö³rƺŒ„¼¬ûÆ50·#eÍ1$â¼3¦ŒQ|!ÓG¼Ê4y|µ.ËsŸu•u×+ů8+>)8 sŽŸùMŸ× &n~N=}ÊzxÓ¶þ\Y¿ÿ\ÙKýªhþUÙïÄý†?s­ÄÇ•s®ÁÇÿ^eî½K ê~P0®ázïHÉu}h¼û·j£ßë¨g\¹èr—¿\Ï*¸Á©’ŸfþyÜ}Up#ì‘C%—Ü2‰¿Õ­VŸÃïl+JÞ::ç¦è{¥Ä¨'` –l9tÝJ½»§`Tà3ŠÍv£ä‡µ7ÊFFßWÿ3Gc;¡§,wÄÚ˜S‰óM)ëD®[ý^YãðAÙ'9z[‰ýY)ûz=(>'1M?‹¿òN­kóÖ•8צ«õ³o Ém±Ü=Qöí¾SìÔÇêóåúXžß4hÜSösø¬`®ëen©5çÖÏŒ5þŸ×|Î)ÅOßP0l·å™’Çs®àã~®_™¯°o<<ª{ä—€Ùaçñ,)ã{˜˜²³¬`0‹ÕW‹Ê~‰_•}~Ž¼×ôÿ¨Èï™âë\V;ŽŠ–c%oß¾”çÛß«õŒYæÞeþ¹PÖr=(ëK#ès?.€.XWìxô&1zæâÌ/Êœø›ÿÇnÆý¢øÄ_4>èÒ]eß00Rp>—0«äoxLOV»þ"c®s®øï¾ÀFÄfÎzTæWbCÌÁïÝy¦Ì·`ßO”|à#µæöòs x ¶ú{ó¿VüÆs%†ñNY›m9a.ñoÆfŸ£îK%fèz(kDi#¹"¦Í²Ö¡œibý¹«Ø÷JŽÌr^ÕZñpQÉÃôÅ­2» SÊY ȨßPΰeìn)q+âG_”½#°mVô"Cðv§ñÞHñè¾êUrDŠ°ãK%/oCÉ?A—^*ëñ¾™'ГàÙ`:`„®sü‘¢gî•}¿ªuor –•Ø%t0Gv*ú|£øéëØdzŠ/†¯0^ýø³â?â0Pâ 7Ê‚Ð]4í(y` ÏÔš“VØŒßbC4ñàój둲·6$ïcK ¯Ü.r vÔšû4Û(ãZÉUò5ËóØÛúx,ûŸQâ0ÄðW-—øOkŠ.Aoò fß´»À&ÑßnóG%žùø¾hp›'”ý»ýal=*~Þ´‹¾-^’3Bÿ~Qr'Ö‹ö}ž*ãú¡ž›Ä×A^À³î•}µ–ª-‹ÊÅÛÊz«^eþŦë}(š'ª½æûP½{Øh¶ÿ`ƒ‡È>öÓ;%¶ Ä|Þ¯^)ç¨LT{{•ÜÌuåìplÔņ÷`\O+˜ŽõÊ©bÓ¶+çlûÿlôúÕ}ýQɱ„ß'õL¯’{úJ‘›÷Ê<@™Èã ŒÇ=%žég‰»™ï³ ¾*gÄ0W_}äeûY¬ß³ÊÁ|Ñ^üA·©umåçƳkŠo±®Äð°“οÉÏ0÷Ý+¸ýG%;¬`©žwñýÌ7µ?(ûÑv*{+b¯-W¿«Žòb®œê¾ú…ø©õöUã~‡‚µ[âC¬+{ë0¿ß*ë’­ÿf)~a§­+1üã%&ø±Ú¶[}µZïÜW»»ê¹]ÅÅ&qý=Å»se?Wì>tX3ýLÜ¢K‘uÚŒ|¼UÖoýŒÇ⢲WŠãÿ×XªçÞ+k×›x=v­Ûë±õJ™/ßÀzá‡ÿV†eøeÝ÷˜^mÜ_ªgö«½ÈöážâŸ·+ëtÁæÁÖ,Ã3ŠlÜ7Þ»­ò‡•}Œðß>*ëÕ͇Áú ;–”˜ƒë0nñ_Ê|ê±è9`¹èpù¯ÿ‰›|S}Œïö Ø‰Ø²»Å|`lmìjæDâcèCø‡¾ßk´»ƒxçºbßö*ò´¨Ä  ûNÉcBF‹`ÔøÊ·ºÕºß66à]ñêCñð²Êpß‚÷=4>®ãPñau¼ªç=¦É‡xY¼#ÿÿñµr øݹ’çÖ:¨œ …m¯®•ÜMlÚ6¤¬Åñÿ¿(y8ð¥½x„NxPì©EO07Ùö±,Zfº”sGPæ²çÊÙÙ'r_+Øب‚maטŸëŠ¿_°®Ìk¸xøs£-``#Š~Þ¨}}£ì©µYï÷+ø²†Ý躘3±A‰Ç(qÄ%%'ö\­cŒ¼éD_¶U›oø_œ@Án•<(tÝš‚Uƒ5ÖqƒÅ“ózþÊ™÷;Õ~|dþD'̱àçÊ^R`;w š‡”5S´ÿƒ²' ¸ðkµÚüKJŒs\Yj:És&ô¾)óÝuÕÕ¦¬ù{e«2ÑEoê½qÅW.Z”õð®«S‰ÁyŒþ¦Ä¡Àzê7q3üÉf<”¹ [Úõ‚åu)gŒ÷T}{õsý„/€/ázÉ À¦@7ƒ'‚Ÿ{Ü÷*¹r½ÊYÓM» ûÆï.T{/ü#Æë£+\Wƾ皂‰úCŒÀeÁ|ú¡ÊbL¹o»¼ëERÖWe €Û ÞׯÌ–ÁöjÿŠ’#xY}ôåL æ{?÷BñM‰#oÍ›Õ`¥–Í#e‚Ë°þµ Î(óñqѹ§ä½+ûÃŒ+9G.ƒ¹¼Þᣣ\œ1ùEÙ[ ?ä¨ÑgMŒÌù“âï¡¿Ü6ëŸÅFćiÎ_Ì+`µøPÔo]¯Çß\½Û£ä6X®ˆ9™`ã3ÕoÊ›´÷D‰éûÄn4?+{5­(k)À·ÀÍMÇÞZÕ3¤Ì·« ŽïecB÷§ÊÓGe=ÅtÕ»¦Ö5ćUÞµæìšžó˜æŠò‡ˆÝ`í*{I37“×w§ìcøRñÕÝן䉹¬qORò­‰óúÚ¶’gì¶Vßá2[çõÃÅKd|X9gÚz¨£îw*¹“Êúdñ®xè¹–<Ïye/Ž!Çs(ûW«ŸÆÞ½Pl#·ñ@ѯÊúY°kðDß÷X}S÷ÝVòæ¾)ºÁÆÀ–7ü ;ŸîA9¿cYÙ?›™±ż´¡Ø©ø £ ödg•=õ^*9é¾ÿQY7°®äR`Ëí+ãõ±QijSl‰E6‰)+65ñIÆÆ©¢#¬ËÐø wŠK„Ms\<ç4}O•8J“Nè¾VpÓE%6´«ÖýZˆ½ûÞDñì´ÁÓþª{­ê´ ZN~Sr8®•s,Ý÷Õg›Ê¼°©à6ªk÷Õ.ßófgƒæI%®Õ¡ä0œ*¸Í±ÆÙ¡œ‹p¥äãw+ç§)g̽©¾¶µ§ì£øRÁzèk|Ø»¢cPÙ¿vW±½ýŒÇü¯ÅçÃ*8ëÝWÖÕ`—3Ÿ)zÝ/½ÊÞ3`Jž&X=yôÏ”yu²è^©ß®ÿQÉÅxU¼óZªzŽëyâž~ç¼h{Yôâ«¡Çß)6þµ’óü\ÉmĦGOÐ/·Š¾¯àÏ— †ìrÆï‘·Ž²T´,V}à³½ÊÜwVÏBóCµwUÉ_›Qö ©ìfÚ=°ž)g,€aσÃÞ×µ e½Èq£_ÍûeEÇ=*ë]Ý>ËÏ'e;l›éêk¿?¢øµ£j='y†Xõûº?§œ &mº†•}ü±]‰Ía»¯Öó+ÕW§õíq½]åü—¢‡]ïgµžÖ;¦è4ldðÛSå\Ü›¢í²gÉëâs¿‚¹-mõ ŠëŸ¯¶¯*ví¤’/ð¹Þ«gŸT¿N)±lÔ%‡ Ãüµ­ÄKÀY÷lÇ}³PïouùþSe-S·"ïÈå|=GEË®bÏ¿Söi\¨wÜîQåLC|«‰F9øŒ›KE_šWÊ:ÈK%O–±íŽždVl;ì]óä;eoõ/J¼Ÿÿoª/°£z•¹t¯xôâ¿Ü)ûU SÍ·YEŸgtVô)k[6”<ìKÅ/øRëã_e»W•œ.ìŸ÷JlçsõÛ6\¼8Uì§#%÷ü…²'Érµ×6¸ºè©²vìy=÷²úw¤ú ¿dTÙ“¤úL¬_±ùñ3öë=lŒF?w(q}Åæ#vd¾ð8øªø\J¬Ì<°ŒX_[-«Ì]3Õ×`WÊ:#pfüÈåjãBƒNô'y€øêø±Êyàøï‹Þ±*Ëô{Œ[~Pö¿û©Þ_U|ë´?Õs´Ÿñc:™ãÌßce¶þúïû`W›Šï5¥ä~](6B§2v&üœþ‰²>UöñºQÎ/!O²_Ázê¹MÇVÎœ¯2±“ÜÆ^µâÙl[¶¿úxFY_=¤ÄóM˯õ~›²Ðmý^Y/èçÑèæ;ð¼÷ÊzQóïPÙÓíX‰wí*xØ¢iÚSpØ åœ -eØÏ Vµ¥œW€=Û§¬Q¸Væò:v•Ø=ã\½iù;SdùÇæð¸9RÎëƯð;]jÍ5³Ì½UüâpðlÜaU‘ÿ]%ïÖåv]CÊÞ´èÆ”³ë—êÛ÷'”føˆ¼˜~tµõƒÇÁZñx¤ž'^r¨äsø¾õõ…eæ‰rÆ6Ö™’/M, ™]*~cËûþ°²ŸcÝtÍ+¶4X¦yЫäpwÔ{½EûêGe¯«þ¢•ù¬§Úd³Yï)럪=æõŸ2÷OzŠv*9ægJü_w½ÁûnÅWí)¿Uö­:Ý®ýâׄ‚?*g©oÖýÿ¨²Ç”\äïFÙënU™Ó>(k'i˳*9ÀïQì°&þîþ™TòÞÀÎÀGV”sðy'{¨ú,‡ÄÄÁøÑÕæá›ê§ÙêKúͲl¹·|[·œUÐQènÓ>jÝѯ¬©øE›Äþ~QkLlXÑukjÝ“1³Õh¶Ð~ѨìSõ^Ù#‡8†ûsPÁŒWæç˜bãá¯þE‰3'c{Þ)x±eºCÙ·{²èT|ºÅ×s@†•8Ú@µ?b¯A#úlSYgƒýK»ñÍУJ̃8å3%6zYuÿP¿g•_»¢WÆ ~ê²·ÕzÞ1¬ß”œOJŽ°¯-U™/”|À¿M³Å¯Îâ39®gW±ÐO–»ß+ùƽÊùÉ=Å÷žzoF‘×f dBÉÅYl”ó“"wçŠÎá÷iµÌÉå+˜$ã—ñŒ¿€{ ¿{¿Wt8Í¡²w6؃âßV »,“¶×Å`ññ?Ÿ«OX,^2çÀ ¿»¤Øò´mJÁÊ›¸íVñæB‰)¹lòüìwÊœ²¡ø0ðÅcê2ÿ¯T]»º<>§ÙéªvOm¯ª£Èõ’’/q«œ5Œoèÿà‡Èí{Tö0\Qæ*Æ?x‡Û vVp¨øOøbþžUæWJ>ÛùºQV¿b'€!cë€ÝŸ=/¼ÙiWb†ëŠ¯ÆýwJnÇ™Z×Õ¸ü}E~¯_‘œG|¥½¢ ˆß6è%^2¬à¼wÅÞ%7] n} ìßxª¬I ΀ï‡q›•u¯•5…} z‰¿œWÖþƒß׳ÌÁ»Å?×ý¶øº©øc~§£ÊiWtЃ’_ÊØÌG€çØ%«Jž.òìkÔº¾wTÁ‹þ?®àÿ;Š…íiú,§'ÕVpL0õµzÆco[‰û/XîÈt;ç”8Ô­‚}˜Fð09póÿ•r»ïÔ3ÝŠ]^‡ß9£ä—=*q#b`k?(kåö,‡¸òu¬œƒØ¥è.Å.ö¸ý­x´®Ö| —k¹{ªÌ} ÅÓf\óX­ñBbïõ|, ›ƒUÞ^µãSѲV}ð¹øLÞ)òüBÑ—ª®îª ™›m”I|ßmaî$.ÜSý‹O`ž¿t9ØÃ;ÊÚ©÷Ê~=÷J\²¯xók]QÎq –‰=È|?\|è¨~õ¸è¬¶u(ëÂá¥Çùï‹ÿ» Vz_u)ø˜ö|µXö©Û… AüíHÁcøl(¹Øøf.×XÇ’âÇ0ö&•˜¼ÛTr°+Ƀ"r£ägn)qÍu%ö`ý@,\ÑzâB9Ï»«ÊïRæš_•5É«UÏŒ22Ï*sþËŽ²'YÓ¯bÌšÖ×J>öߪ²¾ÿs•µRÏ0on)vý’r¾û†_êW°æ—÷®øâ¶sÃç°ì0®M÷7ÊYŸUŸëÂ6ÃöœPö¶YhðÐ}u¬øýU–ëñØ´.8«r^+ù{þÿ{%ç[ãNÉo´ž¶Ì€øÝ!%¦áñ8§ì±h{•}è±!íI%瓹ÂôƒCü¦È¬åÀóÕ´ZsÜæ5E>ŠŽ¿+kiƒå¯[Ñ3\ŸWò¸ˆk¸ý/”µø·Œµ‡ê«K%_½ŠÜ2ç}Pb|ÌÁ«ÊþI¶ÝÁ™?7>_«|üNû/M¿ø°Aï§â¹û~YÙ{åJ±íñ+ð¥‰<({—Å?8«¾· Ö³]J~›ÿã›ÿÖJ¼À¼´/Œ]‚L V^ÖtûŒ‚}ãw~¯Ì)ÃÊŒ_¯Î•9?õƒ§¢È@3^q^¼ÙRÖäVö×û^Vl©Å˜.º¶Šï•\®Ue_º›Æ³èjü³Åâé˜Ï÷÷¾²¾g¢úáD‰_ÞM[Jûë…²ß`§²Vße¿j|JÓz¬è=æFð¿µú&Æ̸8Ur}°ÍïÑ¢m\Ñûʼë:Þ(ëSÌßWÊzžee]ÞY=‡mz©ìAùF‘¡9E€M­*vÀ¥’gÕV¼èQlãEeà­’ã¾PïÑgø;àùsJNᣲo­ÇùÏÅ;âªØZãÊyGíÕ®¿({ytVý`k îäz­+Ç”½À§ÐçSJœñ´hžPòdg•¼ƒwJœ†8ϼç¶ý›’ãvZå.)ë~ÀvðýÉuÙRæ>ʾRöÅüƒ²×Ä~ýÿ“»WðÀž¢œÜtw)öÿYñçJ‰cÏ×”¸Ð©2"ËæíEñqYÙ Üy\É©ÄŸf¬tÕ§GY§.jÝ7ØèóåÌl°S÷÷'%¦Ù£ì#6§¬}èPæûûâǬ²Vm±h$6ëº,O–ÁÅÞ&×c\Ùcò‹âW}Pâ“kõ̧ê¯EæÿW}\ñ¡áªïDñgÑ+̯`–›'Ê:ã×L*¹Ò®oOÉÃp?m(ë`ŠÿÌiî÷ke®+XRö3¿PÖ$tW¹Ê>æ»õŽËø¥ú³KY¿ƒ?ÌüI.˪bWúyð »ê?û£’sõJ³Ë 6 žÁœø¼èü¬Œ«iŸÁ?ÄWEN˜S¶ªmþƧü ¬#>²¯øÖø"ôÍZãú†¢_›:ö’#{£¬©X­ß ΈoqTtúû¬Êõsíu ê?PÆþ{ež=­rˆmïÕ÷’k¶R4+ë_À–ñý7ÿñ:§¬#+ÆÎÙTbS]E7>ãSeýÝse-ß[Tö.µ,YXÎ~Qb©·Ö‰SŠ5®Øy½J~­ÛÿL±}˜&< ¹PæŽQ%¿êO ÎäwwŠ·a¸ÚµY×¾T¿Ì+{|ï)û`¯TÛ申KÿCºSt)øÜ·Õfÿÿ{½û¬xèrß©uÿ±YÅÎrù‡ŠŽ@ÌñAÁ ˜ÿý9RôbãaKš®Ge)0 d»‚1Ƹ äÓ7}®&VÍoì ô zª·ÚjýúR‘ÅÏu˜.x)í žNÛSdÿL9ÃÔ¿­+ÑÝóJÜÝrÖ× ÷{ç±ÞRöþ'FvW×±–”xØxÓ¦Äöô3øW“uŸü° yE­*k&”ó¯°;Ñ˦{W9/Î×F,ÿõ«²'´¿Ç•}*™ëÜ·O¯r–ømñö¤xb}±¬äÙwUL+X<¶ñAµñwÊ'ÌMà]j]çËX»PòY‡ªïÞ(y„çUç¼¢ƒ?+çbkÃ×/ †¹Ñè{t÷'ÅƹUò&6;¼Ÿú®ñÍg½h¾®þxYÏ3¶îÔz®âƒ’§t©è?¿TÏãž(kJèß/ÅC0?è'ÇÂõX>ß)k±Í³ne^Eæ•<Ê犨ìák–‹Åú´WýÄÎV”<ŒÏ &vVõW9Tl‰Gåìt|xËèû¢o·èÞPðšEÛQö‰5?,OèÊ%å¬×)eÍ>í¢rÆÈ’¢7ÝÏ? ÿ®ŽËÿPlý­¢›í¢øòEÉ5èSô58óÆ/ůÅÞ2™ïÁ¹ˆA7õꃢï>¨õÜzxuY¿ÑK×E3c÷PYOäë¶G^(x–mºÉF½àÓî߃âw[µ݃?6\4¼RöÓ²>/žØžðœõ7åÌ£k—zªìÉì6½,ÚÐ5o¬}æwŸ¨õì­U÷sÅ%×b«hÙT°¥¢åT9wã ®­MçÊ:´e}(ö¶Ãp£Íæ›et±îý^™“±{Á…Áw»lÙ~öX•ç>³_>T÷ýœåúMÕÓ¦Ä «O,Û”ùÛ ì±®V9®ë™r6C_ñœ–{E&•µ#Øî¦éJ­k^+çsÐÇÊ:{—OÌ’˜ÖËâʼn²ovãî úüJ>¬ËÿNÑ3`LèßG{¾Rô9œÊü ÊÄÏ„ŸèÆæµr¦ÜK%gú¡úÿcYY«C<ú¦ÊùXýøwµæ=ÞÖ=Ëì¾âÓl¼{Ñx<[ŒØÛƒrÞäzÕAŒ\sUñ]N‡×t]oÄiÐóæq™o•< e]=ã™±Â\‡aeV‰>*6ˆÛ7©äí+¶1›Çºç1ß«ìßóIÁñ=N¶”\ þOϪýÖ‡Jþ˜éÅ[TäuSÁ—ÀÔת-øîøÉJŒ¶[ÙWï®Á¯ME·o*öæ„!63Rm}®¬gi«>ù¨ØzæÙ+Çd>ÆöEæ±w»‰~|PÖ](vÞ¶r¼Ë÷¸/žÿ»‚9smªhÀÿnÐ9Q÷?éÎEÄ$ÁÍß)kئŠWŒ3xdØV°¾}Ym{[Ïš^ƒõì´ûó}ëËÕ¨’GøA9s¨KÉkœW΂ª6¹>ËõJõý¬_œR0Ãne zšWÖEºœ{%>/•<1°Šú&FNŒo¹§œëN*uƒE‚e2./•œøOwOª¿—}‚îÄEÞo<Ùãp Ú~¤Ö3–Ñ©kÊš‡wʸÄ/¿ªÿŸœ\Þ|þM±ÃÉcØPr¦]Ö™²&nVY xX×ÿ—âÃâ/ß(¾<¹_çŠß>¥ÄË/ªŸ•¸mg£=ûÊ>8àô¯ëù%m@Y[ ÝÄô°Ïñ3Þ)zŸ8Í’²ÆÊô¿­þ#ös§àžøë“Šï7ªÈ²ïYž*¹¥~ç™’SõVYOáùzL±=–Àž¿VÝ.«½Ú<§Ä0ðΕ¼em ~Òª²>ý¾h>Rr&ˆ—õV¾WöQ=Ur¿¿(ë{]—eÞxèPõÙvñÑïZþÖ•Ü›eeßCeÜµæ ¸Tð˜j=›ÿàJ™g.”}ûf}}Sí&¨9·?Vÿ˜`ŸÀ²øDñ­\Þš’ÿIÝËŠO¼RåìW{?*k¿ñOü± òH̳—ŠM@ìîP9¿ø\‰ÇŸ*:†±¿¦Ö3Ç—”ó±F=Ø…G žÐ·õß|ÛUì•õ*oDÙÏÇÏw(kFo•Øð¥²oÚ’«åñÀ¼±Xm]©þx£äf¹oFï¡oÛávY×ü^9×Ã<™Râ…7 F½©ì9 OF”¸§ëPr ܆ŠÇØóð ¿ÂmÙ®¶ø7s<˜WlUôêaÑü\ÉßÚWtͶ¸â#æåjõÑqñà³²ÞGµž½ðR­çK(¾´+óù¨Zã|M¿ü¦ú;tSÑ}Š®e~´.± Y–‡‹—ƒÊz¨×Ê6¯”uï¦Á²Ó¯œS7]å OǼvI±•Á±‰ß×{Ø—•µgÈ<¸R‡²o*ØÈ•‚ €›3~‰ñL×;ÊHèXü°GeOéíꣷÊÏ«jCÁE™ÿ<lv¤®½V°4x»ªÄA(ó¢Ú¼¬øJõŽû;š\(_kSt«Û9¥ØE_]ú«²ÆqY‰›ƒõM*{oÜ×½6eý…ç·¾âòÎ\÷²úÁ>!z½z£ÌGÄù‘ÁOʘ_SòðfìÛ’¹Äå´+úËòÚ£àUèÓWʾB¾g¹X÷é»nåüÙe=6cÔm±,X§l){%+ùT?(¾µ¿÷”ól±]ƪ|×ùD‰Aº¾]%±OɯšWr†”õ4?+{j»Ÿ¾/ZG”ÜŽe<áÇÝ)¶1ø3ñÉ}%ö³V|ý©xß^ïX–°{”q ÏÎþ[_cOœ)k;Ï{»GÉñõuËš17Ë°es\É!;q{º”¼¥›êp°ƒFyÖƒ§Jœ‚9ô´hDwU‚eÞ)¹¨`¾[Åg惃FùÄž:Š?G NÌ~Úhë—âá¡âK3æ>+~ÐnõãTµq²ÊÂβÎ\iôý{Qíe\ú?2´§ÄµNŠ‡sŠ_ˆ-½Jü­)ã/”<éOÊYOè”;e½só…² ú[Âr¿Tÿ-·àŠ”9¡`–Ç' F fà~Wò¼ÉÇÀ7½QÎÕìPÖ/0WM+1w_ÃŽ0ÿ®Ï’Zu¶iiWÎx²®Y­÷̧çõû™‚UßÕsïŸ`IÁ!NŠÿoÛ­‰—ÎÖ—i98ª:Wë:弩g<¾¾Sö]ëmðÞr3 è†ÏŠí]cÚölƒú‡ë÷˜’_i™3=Sò^í½u½]‰¡ú÷—ú^Uüüxp“õþrÑO_nŸ/«Œ+ðþÙâ9þs cÈúzHYAÛýN¿’GoÃn3-Ìí`Øqä¨O¿’Kz£ì•³^å0†ÜߧJ¬µ_Y«ãß®çþX<ûS}{ yî³ÎðêiÐxW<§¶ìÿRm}S|"¿aQ±Û7•¸Ï¥’×  ãßP+;®V›Ð°b&íJÞÿkeÝ?Ø™Œ9|l”«êï»âá3e­4§i~«ì ù©Q–iñ8;Wòä,#g ¾8«Ø©øø?(9”C †ê²'ªý}õîTµ?r¶h^RpÁ—ŠïŒÏ‡=‡ƒ_å¾ÞRâèÇë¢Ýý0©œÓD¼z^ñ÷ÜÖÓªÿÕ÷±¥îŠgÝŠ ï*y¯`µî#ËÚœ¢3¯ëÙ>e¯%7èZY?0¤œC¸¡VùãJÿóìö¾jc¿¹UdáLÁÌ΋¾¯Š×¡øµ/”=q®”9ÿ¡ú`I±•¯«½Ì)]õ ¶‡¯+¹Óï‹ÎîF»¦ëþˆbßWh«ïe¬íT{—‹ÆYžnôç×âû™²¿ÍdÕõ\™×Á×°o¦”¼góÄãÏöéÓâ‡Û‹žý»’‡Ö­Ìe~g¾*ç,¸Vren”œ™UÖ‚2ŸZ>)û¡)«9_?*y©à;þ ö€ý8YÏÿMÁ8ÝnËæj£¿ŸhDYmY8QöÕQö|Tì?ƒÏbÚ;•ñ½R}³§è±³*ƒ¼Þ1Å^¿©k7 &ÿ¨`›grüß²nyVüf°½+m~ß5þO)k?Õ÷FñÌÈí¶=áqÙ¥ì·ävz.ýUÉÇU°‹¶zÞ}þK]óóßÖ÷/Êþ§¾ö÷úýçú|S¼hÆ4wª~óá¸xèïß)kðƒÁÁo÷ú•øű‚¹¯ð÷ˆ-ó®yŒþÙWìè÷ŠMnÚ•üä e?ÝUùŠ¿åv1¾ÀÉCøªœ„?°[ï (ù Ø"ýUG»2~Üf••¢Ûý²Wô àÌ÷Ê›÷ʾ%½Åìð3%ìoÊ´ÌãÄ>ñˆ-ôV;ˆi€Û[ö˜ÇW•³=]dzF?œ(ù;;ÕW¦iQY[ìg°‰ÉÉþ¬œó žð¢úѿǪÎe­öA¿²À„‚ksþ3Xós?ú¢`TKJÜ<ë´ú ¹¤Ì!ø½Ìs`9ÄU÷”80q«µÎ´gO­û<(±ÉeÝû˜¢W¾T[É)jڇ̧J.ìëºöMý6¿7‹·CÊ>L}ÊXð8[Vë>ÄA°f”s³/•ù×zíMõé½’ãB\ómÑInà›WòÊ»|Á?ù¨œ# >^ ^~Y4€ã?ù ¬“­ën'sÈCÑźˆ}å¼vì ò)F•µ€ø ‡Eÿª’ÓÔ«¬¥3¤?Á|c— „mþtÑàÁ¥b[ÃYWükâ“àu`§÷ÊY•Ï•±åëGjq=n‡eæE–]þTÑ@®œyð¬Ú3¢ä—O*ç]\(gYšwäâ*ûÍÜ+ö€m‰¡j#6XWµ{üA‘Êø ø¢o•ù{LÉMÇ';QÖ¼.(çi¼kôµŸ·žšPâkõÌG›ç76ÁFÑNpUåÌ)ò‚]HŽC›Zs8–¿Ìû¡è@gÜ®«Ž¯ŠïzÒxî¦ú{M±…ÐÌÕ`tø¥/ë=x¡è†nÅ_½)'•±Ï<͸fÌ3oÞ(ù3Ï‹Ï»JÜYÙÃr<®ì{^ëz”³þ ìëyñt¨®ƒãË-+û\íÕ{›Šîç±l_~.Úýþ‚²' ØĹfîÀžÇ.:SìÛ½¶»{ÕºgÝ@ãxòE­±úEE,)>Ó½«iÚ~ûÊÞ¡Èàbã÷V{v•³K°+Æí'nÆ=MƒçÏÖ§=UŽåä¯ÊžrÄ%Á çÛ ‰Çá»*~'þöçªgTñÌë‰êSð†Õªû•’ç? ø¯lÊýc½1¥Ø:Ö;èÿa%ïs¶úÀ¼üZ÷ß)ûÌ)6øF£ÏûŠ^èk/ÚÞUy3 ¾x¤ìp«ø!` _ª¼9£%ÞHãòQ9ãhUÙs?Òô½¯ºž+ó‚ûüßõÏ3ˆ‹§7Ê=05tÖ•’kòUÉKPb5ô™ûc_Y#æk+ÊÚ äÙm³Lõ×g­A댲?î±ñ¾Ûû}Ñ6­ØrãÕ_èKðÞ%6שäÐ-Öµ…â ¶IÑß­¬}½Qâp{JÜÅ<>QÎe˜VöüÙ®²ÁKüÜlñð³²Ï¤ËCgï(ãÿ¦Þucï>(û7!÷Jœý¼ø…]£àzÈ…Ÿ³<`kºMàöä㼨:«,âiøØZä,)ñÿëº÷V‘YëÆQÅVëWpµf^áÛ?ðqi x ´€]í+{пQ潊Îlæ(ƒM§E¾|ÍzÊúäÿêŸ2ã:ÿ¡¬Eü»rÖÑmõØ"ôí«5nŽN„øËwÕ?ýJ÷CñÑzzHÁ>°•(g¿î!w`´åLÑ)‡Š>n«w±çð°£nÕzöˆÛ½ªœQÔV´™WØKÕ0r0pr,ÑϦa^ñƒ°§·”Ü8÷ÿ lZ°s?+y ÌW‡J.ß•2¿LÔoæVžgŒÌ*xÆ·JNÅ‘“›Vòƒô1ö6vA»¢ß]÷z½ûµÊ³ø ÿ™·Õ´ïÆ??ª]‰é[®•¼äe¡žWÖЛïkÕò°s§•¼ëãªßí›WÖ+O}¨÷À%<.ª]Ÿ”ý °k_(y Ì9ÝÊù_¾?£ä·€iºM¯žO¿Sò¨/Ûf²ñY-Z&Ö§ÈjWñjSÙß _ÙòÓQuœUy æ6í(g¹œ/Šÿ°§ìÉMàD‰Ñœ+¹ ´ }îØUô80>fÓ¾À–ÁN4ïcŠoÕ¯øÑó ^®(ù+jµ_4Ê?WÖ)ãï´Îدë]ÊyƒÊØ·9Tö›"— »ó•²6ûH‰ëõªu âUæSe?_·Ã6x+XͲ‚sš?`*»ŠN·ó‡Ø©ÛÙSõ®({«ž(vÛש¬a#¶Îü‡/ÎvØàïyµ|îDYúX÷÷”uÔ`MŠ]·PïÎ)رw?Þ¹ªØ­Ìñ³Õ~ìÕ‡ª¾Y¬ÿðöQY‹G¬]{®äã Ü*6(~Ò£’›ŸV”³·•u»~›ÞßÖ³W àçÞ*yw.óTÁïˆIbã>*/öù"çwÊ3ªÈÍžïPüå/uÜhóñ¥rÞ¤m›¿)88¶ñ©åF߃¡šÏøQðÌ׋nì§ke?”1eÎc>ÞRr|ÝoomÃ_ÄvîVò½·‹_Eç¦Ó¸Wt¾q‘»ªsI­{¨¡Gܯ•óBß×?CìêVñè+tå±"W®£©+°ƒz«ß~SÖ»m/”ØMoñýï)@‰Eî6êD˜?+Êú¦m%yªœ#Ø´S,ª_±cÁ ¹æv(8"ãôªQÏ wÛmðZ-'žgÖ”=üÐ]çÊZìg0úÿRlÁ¦Îôøj«{sUþçEõ²è:¾Q«l\(öü™‚Çc'|[e o˜£ÁO•õ·ûŠÿè¶a˵+²ƒÞ¿ø¬`{ÊOW š›ö¶ÇÉXƒ?ëŠ ¼RÎ;¸Wö³»S°ô“ué;Ã|£¬WX¬2×?­_±9üü–²^òª~Ï)Xªçsëåíú>h”n± Ø°¾ï9aWÁ0ˆá({ª<*ùaàÄÄXÀç-?3Ec·â›¹?&ª^â0Ÿ•üb|kdÎc®·øÌÓ6|ê˪§§êü±>æ…Çü´r>ÄkÅVÅ6¾St?ñ†‡zgHÉírãŠo¥œ{ñç÷•üÌ_•³¶˜+ÿ¢Ú(JÞÙ_ëÛüÜSt8¸þçÏõ 9gÊ>Šèò%?}@œf§ÑW.SÙïôµ‚É ©õL“Ûªk@Y'|ÖàŸi\oôz÷T‘æ-ç~«Œ¯IK÷Á>¼UÖ+ñùIå ­=ËÁ¦A/‚cø]ËÞWeËG%7ÜiKYF¸¯œEfìyiFY{ɳ~ߌxN‡šRü6â3.Ÿ9Ú«Ä:«¯Ÿ+~3¶˜ß·j]…¿ö¢Þ³Lu+{£¼«ö~­6M(6)¾¬ÇßZãóõ²nì¾úæL‘ÍmÅdì5ý5â‹Ê<àïeüŸ+±´¯õm4ý[âOß)qN°ùyå¼´£ªw¸xÄÜ?xÐè³meêeõíx]ûKÑ|^÷Mߘ7»,¾5ÇÂ'e}s¼|«Äš¾(~Ð|}.ªí~¿qJÑ'nÛLÑe±4PmE6FŠ]ÕF0ÚmåL›jÏ¡"ã3Ê^ÿ' ÖfÙèPÖҚϖ¯…F›66÷n•»¢ìÅòUÉÛS y¨:üý²Ÿð¢²vŒ‹y›è‰²6©KÙ¿GÉíÞUö̺¬¾ÂféPü0;?g9ûYÙ¯ÈzݺçiÕk^Zv~Qö±Ä¦ú¤¬‡:VÖåbK;w{Úª//•}öÜÿŒ=¿où@÷/W[<§)ógÿ¤èú]eû’¢ß}Ízp³Ú1¥à_Ä`z‹¶™âÙ¢2‰Ï\)9 ŒurÀGݯ\~¥¾Ç•Øsòð¾h8Wæ(ì¤%bºOó¾èüµhèSl¡C—›¬òΔ:¿×QŸj󻺇ÿ^<¨œñ:^m5¯Ÿ×ÿò¡úÜòôº~Ï*9éø÷ø¯Ÿ•<{Óƒ­Îœ@;Ð_mÕ–·õžÛ:¢øÑ]ʾL—Eפ‚+s#ñwÊþ`/«Ž•º¾¬œ5cðü×^|6mÿPÖ? +ù¥ÄØn•ó¬ÍÞ¢ÇßÈIb»û:c{ù1-»ö[ÐÑ̽ |©œëÆö©Ú²Rí|¥œ‰‡ý´ªèBæýAeïE%¿¾Y¦¿*¾óZѸ©èí»jç†2÷b7\5¾}¿™—ÁÜf=·SßÛÊ9»•Ô˜’q_σÏb¯t(gQ]Ôì¨[%'Gc×üø%_œÙ’kÅÅ7Ÿ)Ìç¿+yûØZ~·é›ÃGß)ZÈ9Tò)¶Õº¿œÛ Îèò&•sŸ°QÁüˆx¼X†,[õîÛzÞ2¼u¢`ß{JŽ Ø…Ëðó¸×#0gëYrL+6IJϥi#Ž²£¬Ék¸SìS°Q?ã±7¯ì'AÜ›”xÌN=;¥øèWÊy©`wÕ|EÆÑçªýî\Udì®ñ}W–£wJÞÀGe?ßfŽ íÅg|PÆ.ztV±é,wàïè·;%H¾þ6ýé2ÀY¬/°…LO›‚![†z”ý¡ð…ÁDùì)k»˜‡w4Ì(XÔ}£¯ë¹Ùº¿¢Øئ™˜$þýMìø¬Qî3e0ò3Ö?ÑíÂVÃGC_¡—:”œ“GÅ'6?°=cúí²Áwlñu§Ø¨w7¿·ïá?ãKû:1.úyVñ9÷ëú·Ê~Ö/«Þ(97ø£k ^çr­3ÿ¦Ä|6”³Ö>¨õ|4·iUÑ[~†¸zÓ½UörZŸY¦W¯«_ú|‹?Rô‚é9Q0hCì•öº÷£²®dAÙ늜§E%g¹y]|;Wë™àê3Jð‡¢E­çš!Y‡ào€£œ+û^™ÿ`oÇJÎI¿’¹¥œéÏîα§èa·Ãã~°øIñ®•½2†ë{±èßTöæûPå£/šrü ÌA»Š>‚/•Š%e½˜ûl¶~+k`Ⱦ|©VÌnXÉ)ÁïÃ×þ6=Jî®û°«žßQέAW0ÆŽ”5;JL|BÉuDÀRMØ*óÉ]ѹ¢Äê.”|ð·¼ç³r.ñ²×Ö]ñÀï*±Al{æNó¤_É›Æï]Sì·eåìÕ?²C…ÏÕÌ×ø¦J\¯i»÷*ûUõ(çBëeÕ‡¿–vnd¼Urõñ]ÆEï¿ùó²O¾bGõïwVÝÄÃñ=Þ*g0»½–}Ëç7JÎ>üoe€'ÌcÄgÀÀLˆçï(>7xÿxчحä1ÆW`GýõTì¤[e_¨wU±á!%‡Êm%Š¿Cÿ¢«v”yÉeŽ(g@˜^l÷Çâi›QÖÞ)kåN•îãê³ eTÖûa/âKáç¬)ëü˜Ëß+zqI±S­ë_¿ñG͇7UOW}U{,'Ø_£EϹœ§Ê:Dté—¢¿OYËâúוµ»J¢eðƒ"GWÊZ±gŠòX<š¨gÏÏ!oÈ;:íKñjL‰sö(¹(§J<¢MÉÄþÁå]0N05?c9þAÙÛØ­Û½P×ö•Xì’ÛEÕå?WòD™#æê½ee.¿)>€¾Wö 4=–‰­+g0ßÁŸ %vIÉtÖ1‹ úšqü=Åf¼Wâ|Ø8_ÔªÛ°¿É7ùªàüŒ­%טyãïU/åú¤ÄÚ¡‹¹î¦ê2Ï&•u)ûÕçèp|UÚAß¡ÿ<îÁ“Mçj½ßÙxœ±KÙ_w±xè{/ü9UâþGŠˆÞ¿Wö V|¤‡F³ÊPçr¦ìq±ž/„Væ"ð2Æšù8¡ø¯ÈÇH£þ»¢}½î(û ª§ø¤Ø†–i0øSeO bOÈ>Ò±Z÷Y7­ÖC vOŸ(kªh#ó¸ß#¦·¯ÄaÜþ1ók²þUöИSr_*8:þªË§5Ÿz•üíQE^ÑÙ· î3UmÙ¬ò—; ŒÞõt+û³=(1 |F|×a'>ÆôV‘;æ~ìÆ4½)zþÚ¨ |^]*ãfRÁXŸ*¾;¸0qgdœ+1îù¢ÏmDÿl+±NÚbþ(2xÓ¨ ÇíðX³>&¿Ím¶®Ç·¢à1ôó]µõ¸èõÜ´Vsô/:Ôôá/`£Ì+:è\ñC/‹¿óÕ¯CŠœ)û0*ùMÄþ\þ‡j_G•×­øãþXþ<ŸvÕ3+Jìô¨ÚõUÁx™×Üž‹<–¾UìÌ-µâZ÷ ÖBþþ#öþ©²?÷ Ê™Rö6›WüÈǪkQ97ÐtµWæ‹f—1Qý·SmìQάt?>W0æKEW\+¹bøYÄ!Vü?{k¶žQβ1]àbÅãßM2°Mšq»ã¢îP9«»ÜÊmEw¢ð)Ñ‘oŠî]el?W0bð°†þjÇWEØž·ýªØæ¯Çžu]o},w戴ŽÆ½[e=ÜÏʼTýæúÀ¥­3ÛŠ¯àdè˹5 Ïêý1%ÜS}äþYSðFlœ=żSâàB¦ üÃ÷Ÿ¿ÕºçéAƒgMÜ¿›‡¹KÊy"#E×?”½äÑ_#ʺŭê'üæ3—?¨Œ“ïü¤Ö½ÀM÷¤’#òFY{ÇqZõb(±AÆðŽ²·žyo¹êRôxÒe/“yen?WrG™‹Ð›ØÖð[ä^‘]ÚÂ\‚>ýRu€±ã¯oW»÷•ü¨e†õn»¢û°Ûð—,“¶éÀ«o”ýã\&9H”±yVí›/:úýãçO”ý¡\‡ã :Në™5e‡¶ú|TÎÁÃ&Qö¬êRÖQá û™>%§¦GÙËÔÏ{yôø^W+=R´¾¬w–«OWÌ•8¤é·Üà7ö)9ÆÊÚ׷ʯä…yŒ©`»LæÚ‰j7úÂõ_Ÿ|èZY‹åºç”œâ%ŧ'c«xøA±s‚øØ  qÿ¯žŸ­¶‚§?*rÍøPöüªà•—Š/Ò®ØÏæ>Ösã=¬ßó þů¯øüF‘Õýâ“Ûû›²ž|œóuOÙ_à­’sõE9»±i_5m™ eü73&žò&\uYÙëY¸Sö;%>‡œ¿UÖ?ÝVð]N¿Ü:Ëò6q¢œSƒ\-V?O7êéTüÅmå\ÛeåŒÁK%žè:U|é+e\ÝÖû§JŽÜ”’3FÌ;õP9¯ïNÙç^㇚†Á*L_ì žö©õ,IÚŽ=þY™Ã”˜Ç;e¿Ñ9e\,)qÙ÷J¼~Y±ûÈU¸WrC»íÛSbo÷Êz„ýƇø–¿±EÐYðŽ|b*Äe\DZ’û3¨Öó)î}u ÄéüI0w—û]}Ú•³ð[ÿ`UÁÜ'¯üòµ’cfP}æ²Ñ[æåwªžŸTkžàlÝ_UÖ¾ùò´V‹ÿ[Jl¼èXÉb^Â6ÇoyTì¨+%¯ÿìkVÙËgNÁÀ׈© +:üPYk²­äkcë“Öa`øj/Š®Éêc0QâÇŠ_s¥ø£.s_­y+ÔÍopa÷¯u¾õ’í³ù¢|@sþ,(Ø(þ6> õ“ŸÈX÷5pØ[%/†þد¶?QrdÁÀOˆ«˜öw?w¿úà…ZÏ|8V0¼Seìî({Û,+Xy;JÆw]U°Íeå¬ %w»ƒyÛãØcŒ[ðZÉóƒ?ŒOìª%eÏŽz¶™sa;Iß*1àse/ |ÊåÜvÆL»r¶ß¼r.4ûyˆçëà/Šÿ1W}v œ?ìw» Ív–ç Ëœçæ·Õƒ/ú†Š§ÄH[jZÁŠÐóØÖgÅkKÉÿýôßžu,[–Ë»uÁ¨rþ þc¿rö5ø¥õÜ‘â'›×#õ¾Û4Vu@ËË¢Ûuõýž/©÷ÚÊtýµè¯ýÊ ȸŸGV苽êçy%ocµÊSÆÆËâ÷³êSÓÎ÷LÙkÁtÝ(ç](ñ‡eÿÛGÅħE¦™¿N«O”œÌOEùSà¸ÄŸšXÅ¢;ð…ÀÑ è=| âKEëiÝ{Úà7ã—¹ýlYö/ر余–/~x¬€_×ï¿(1U¿®j¿ÛöU‰Yî[æÍçÊžðŠÓ­èd|.0ù{e?HìÙ%ßu (çüYçZÇzl¾*>t)cÃå3f]¶1•6%Oþ®žkôϯʚ Q%žÍØ[«v[¦Ç¹ÝWtÄšr¦Ò•¥={㺞ñzÙ  »hIÑ?ØåþËá9?F Ž‡}¾¢ÄC˜»ˆÁ£^Õ=ð¸%þ‚- ]³Êú6ücå¼l»/ º]ÇSe} ööHñüzZÙ÷ ¦­úä“’£næqŠ>Ʈž&6þX}º¯Ø²ØåØæ´žPΦv½¯«llïe¿#Êz¯`¨¿_±›|ÿePWñÄ¿=Ç>S֛оߣØðÊxÚjðzA9¿ÜûnTñ½ÿžâ9¹HmÊÙy]Õ®Qe}“ËìUr«Þ(þÒxñê•’¿v®Œ§7õ=¡¬I\SðEx†‡Ž6OV•ñ†M‹ßêk–× %ÿ³]Vö;uû×ë]ë¼me?ÎJ>!:šÞ+gÊ•}Qb­øŒ—ùR­ó´ûòiñã·âÓ•r¦õ½gú—FŸ’kÞÓ´+ðc±W”½b˜3gí÷N”<-ò?Ñ÷jÝßh[Éçd<])gf0ŸàÇbëSyn™ÜPòçÁWɉþ ä6?(kÇß)9¢ëumB±…üüR•a=í9±ÚÄѶªøIè>üÕeßšóFÝØѦÿ¼ÖÏw6Úz«ìïpÖà#˜È™Z1e䚘"¶¼£õcAÁ™Ðý[ʘøXï¿PÖ<4ãP®«WYÖ]|}ßèueì7ðÙ}%¯ßúsµíÕ»`ù¦ËzëeÑ°«ä ~Vr˜‰¯ûŒyJÉA;SüWÆ#ö¬ëS}_ýÑ«à¿•shO[ÑòïJ~ìvõ)¸Ñ³*gC­{aö+¹Ð=ÊžãJåKeì¹=Ì­]2F?¬äW )ù9îCò£Ö”³œ;ªläÃÛòä~V°]hÀ>§¬q{¼S|t2vÖV}›3ÊZº EfÁüÁìO”3™w®”x:ãê±Ê#Š ºQ}®Â&ßnÐNz«Öý³ž*q<ìð£Æ}ìæeÍâ–2ÇŸ×ï…ñÉ‹ý¢àäCþªàiÔã¾lWæâÖ;õÌBõ1¿‰+‚»ŒÝ*sVÑ)¶MÁñєϜ‰/àñh½fCœ”¹¤S‰sჿTì;ena]ÁzÝÇþSíÀ‡FOì)kÏF”3ñ»°íy¦ìfZ<>ëÛí°œŒW}Èÿ€"{à ø-›ŠÌ0^Šþ[Å¿µNĦãõµ1%¶÷“þ©·h£yÚ§¬Ùò»¯•ñ_ª-ØçE6ä¨2>ÝW¿U[ÐÝwJŽô©²^’ëؾàÎÛÊ"7Šl~(yvàsÅolÝy%Žö­b‹[WYîÐÿø»Êa}ÊÞ·÷ʾ)è_YWbLwU—²V›9ûyµ÷7Ëv[=Õ6æ%¾….¿VÎtü›þ)ïëES—óUbÖ5`†}UF_ÑË=æIózWÙ¨[Ù»|C‰#w*{GTö-t}ÃJ¼~S±õN•˜r³Ð ÿB±ñ]îg匿=eýe÷@Á»Û æ¾x‰Ïøµ®M)ãó\ÑIóŠ­qY|Ç»Pr#±Mýßòñ¥Ú| œMó¬è=RrŽÆ¼íRY“9¡œ£n™é©v.VÙsjÍyÆbœ?*gñ€¸-?)vïœ(9rø‚ËŠpÛ¸vÔà+±tÚ„²㥒û:¬ØˆýÊœˆ½±¨Äˇe“sÿŽ)ø)<¿UÖ‘XÖÀW°u°áo‹Ÿè[ìGê©ÿä§Î*ØÊ•2Ç[Ö”¸¶1ó¶Ëý¬ø7›ÊùϧEãvƒË`»âwÎT}kõî3e|ò«b`ÄÌà6Ÿ«]ÖSèBÓé1D¼û£’Ëè1:UßæÏŠ}þUÁª¡yÒø}¢œÍuQýê¶`û|.×ëžuk3ïŠy¬ä…“_m´Lÿ§§Ñg¾¶ ÄbÁ2ü>c»êsõ)þƒË™PöD»Wë9~ØPƒ ^r­¬#G–Ü?MèǺÿ¦úx¢xê6zù‹Ì“SÊ>äèt|Ã'ñ½EE¨qpðodw­ø2¯àú×Ê^ÁW º®`Áôý¼²íß•5üä&ãß1W?V§@N»”5CÊ9h–Ç‘â‰ûÎc <ãVñÑoâ÷ÃÊzÄ+e2l«eëD¿í6øDñ?>7ž½WöMðïC£dŽü_ F½Tín/ºß)>ö÷›*s@É£GÎñ¿&ý æ Þw¢àÒ`"Œ›=k!jÚÈ8Rüže%Ö‰Ïw§œéê2,OóõŸº%µîŸŠ²Uí£nx4¦ìáFl„œ üáëz×|XSðzlá%eÏlÀ³±-ÞÖ3§Êšer˜ o4Ý(ë ÁóñK,+È=8ǃ’ŸL~ŒÇó´âka_ß+ûOyü§úÞeM6q9l9d¬‡9 Ù_UñÞ°²Æ Ys;Æ¿üRÉC0ž½¢¬÷aü|TrV·ÿðN/n‡eÂú÷›úüµñû[£]RòÌÌëOÊ?ÊéØÓcÕ³Õw`n`V–‰­zÛé®Þ_Sb¤Óÿ®oN±óLÿ/EÏÛ¢ã]ã¿¿çë÷lý&V¾S¿W”sm•Üt? FDŒ\ÐmYVÖÊ; Gˆ\9_kSÖ€ÚVïTr ]1£e ¥ªcEñÏú”üMbÀ_ŠîgEß«ú¨¬¡Ý©º=/w(sø yFÖãUΊ’ö÷EÑ3 ŠŸk¾ôÖsÄ·Áë÷èÛÊzp$ì’kE>nêß'^À<°©Ää–Å~ôsÄ:ŠWÃJNÿ+%Ø/¼÷û«Š{®Œ_ôȧâÑzÑ…-¾ZWrØ‘¯wJþ×…’Ι¨zÀ¶êyËqå?*yN õ{UYƒôZ™KȧcN!þù¶úÃô ÿø;س»jÉŽ5Úm9Á.ý?JlÁôÏ(1+÷ç¸rvÄçF[ÈíTlsó̲¼¤ì12§¬#dθQò î•sèŸeå ×»_Ï|VrÜ/•µ'Ø­`,ØCkŠmx¦ì÷† 8SüCÆ°#ÈÉ@&÷”¸‹Ÿ#æhÞ¼¬º˜£ð3ÌŸ%—v¹úÎõGT°>tÄ el‚3=“‹vªì‚­ñYÁ×Ûª^+9]Š~«Ø¦æÝSEÞ×”Ý3%ÖÝÄ«ýýMµã/õÿ³²w;1clõcK&ïdBÁI±5Ð#ëJn*>Í™zTö1Ýõ,6e!"Ç.÷yPö4¼SöP]Qü«ƒFyþm9ëkШä~1׹϶êh[Qì­Q¯ÿ›²7k¯)9Òãõ¾û ¹ê®û¶Û–”ý%à+Å¿ÞFý؇vžo?5úÞïõ(1£éªßïYßU[¦]m]õL™WСƒJ¾$þúdµ1µXmYTtù„‚±2ÿ0fÍcì0“UWŸ²Vž-MŸ”üÏÎâ«ûÀº‹ðšvG'‹Ï¹ªøþÕžße€QÛ6Y.ž€[³{§ìA‹­0UeÕ5ìÉ­úô+çb˜ü(p"ôl›#6ß~RrŠˆ/˜r±”õ÷mõü–’ÃzXu~«ìqO<ÔúyXÉ}U|}¨û³Ê¸¯r'¼Í4Ï߈ÿÍ(òE\`­žï¨wª>·ûBÙûñFÉ-ùªä>¯kÄ,«¾ñêÿN%¯ösñiZÙGÑrö©Ê$î0ªœM ¾yTå^q§œÓ;¡àw{àkíÅ‹¿(ºn£Úèr­Oðu{Šðcóõb_ùs `«] ^}¤œùyUü|§ì©uRõà#(ñ—&æÆ Võ³þ) [Jòm•Èíi}›Ç¯êÿ ’WÏØ"Fã>ø Ä5ðEîêšï{^“êWöÐS0\æ<׳«¬ó5­3ŠiyÁž>VbÇ#J^ÒNƒËŠÝ ~¤`f› F6ÿXýëo•ó\æ%–Îa>UöašPrðnÔz%ôâ;ì(¹³æï‚÷Ã`~òµ¯JîÊ ²ÏÁ‰²îû­²‡ 6ðDµ»Gñï•øü¼ªòÀ¢ð1·•±F»6”qÃØ®~2Ÿ<Ž-wC ¦æþ^Éu$Žy¤Œkp"0vð°£*ã«’ãb:Ž•uÛãʾ§èL¾/•=é§-e]`2f•}ÿ\ÿ¤âûùÿ@Ý7í3ŠílÞ­*qâh¦ è±Q†ëê+zß*þÓ…’C_ý}©œ‹Åøï]Wë<Ë|wRïþ]ñeGêYF‹`÷Ѐž1í¯”'ln°ú}ÿCß.©uOé•¢ÌxáÏUïÓâÝBÕÿ¢êö{ß+6#~ópÝ7ïÇ”–Geñ»¢…8s©ÛÞ[õúsœ](ú [,ä³¢|¼ìFìp—I¬ñX­{’8ÞðmýßT0…3eGôÝeõËï•ü‡ùºî9¯«xŠ¬m)º™|œåâኲo>ÁY=w®äS÷qRõ½.~á'1OV™oÏ«Þ—J¶C±7À$MØÙ‘’÷¡Ú· ¬w³Ü}SíÅÞ8V|Ï%îoÚÿªäô1ÞÉA×¾)^Õ{Ší„/z¡äƒ_>Qb)Šž7u퉒'ó\ñ͘çÏ”3ï•=Áü>¶&¸¨å†|)Úë>ù[£ïÏêšåoUÉóÀ/ÛUbë®ç·*ûúFÉ×Ç=Q°7ò¾+ž=+ýµÁ#æUâ.Èix­ìÛ2¨è1°%ËüzÝ[ªöž+ú‘\yb\_•3’±/ÝG“UÿžCsùG Œ_Å<àç×êݯÅ;æ.æôS%ωñýQÁ刕ÝoˆZ†–•±E®ç‚>(q ë°aå¼-|ÕÏÕ  kÊ~”Êzªy%^¸ªÌ¿þmÝà1Ç<ƒ-}¯œñìz‰ ›Ntôb¯O«um9XÙYÑ~¬œÅH_¬(zéQ9‹†ù]ø œè>Æ&øÚx»é½r>÷™ÿ&obUÙïþEñ—\)Æþ€Ÿ^QöÄZ«rŸ)9„îÓ)%¾9¤`+JìöªÚGü`O‰Ï\+çmk'Þ1©ÌG]Š.`Ãuµ¹O‰É`›cG`Û‚á<(ñ8°%æ!—q ØлøšÄi×çÆïE~ðË_Â÷§e2/5ßõ{øî·9›7ë(:•ü?óDÑ++ >=*˜œyŠ}ô¨ìéð œ0^Ïã—»;‹®]Eï›_`ÛwÊzp|ÂÇ?ñ •yg¹êÛ¬òÇ”¼Á+µbÑ›J>Ü€²îUÑfƒÍŠ?×®äp‚ñ>*¹aÌÅÄéÈu›ª{n§õÀkeï¿EŽÞ(xû%§£¯ž3G”3.vª<|ä¿(9ZÍ>9SÆ øíBµ›˜ü¹WìJtÛ7£äîU™íJþÄyõ ~Óš’+w¦È ï½Uòs|ý¿LàLŸôï¹"ÓÌEØ‘üCnâµsÕ–i%?–yÇÏËÃkSÖbýO•|4ËŠeëeOZÿC9›÷½âO¸½ãÊùRÉá#—†9˜qK[»ŠÎ?)6äU½ïþßRüà›Æû»ÊÙÙ~þ/ŠN»ûoüNÆöÝ’ã¼£ÄÑ%”õ 'Õg#ŠÇXÆÏiüþµèîT|RÓ»¢ÈîL½3WüéUb·ÄZ­ïû”ùןÅcüTó÷‡z÷DÁ,‰uú>v3q† Eÿ€«c=*ûÃ|nÔx©ìIÎ5¯ì×2­è±JÌnR­gÀ¡£>)ò &gºñÇè¯Ûª;‡:˜›Mã7#Æø½²µå๲þ^ÑÜQ×ÕºŸ‹Ç‡e¤K9Û¸³®·×ï¶Æõöúÿ¼~÷Ô½æ3ʹ5æí+Åö†·GÅùjﾲ߅åüöRÁd”5*èõOÊšòsEî?+¶áÅŸ-~‚/n}ØŸøWíJ>œë¶L6ãŒÏU'ñö#eｇúý§âË’²VÉýtXt›OÛjÍEû\ü4­gÊÚ<óà¦Ú¸Ñ(ûKñûÒï+ùÔO”=_‰*sxkS?_)ëSñ©¶ê¸Ë^ñiIÁ¢îªmäAÌÕÇt½QÆ(vÁ¹ZçŒ;e}ĺ²‡=ퟫ¾ó}æ›f9ÄfÁ”˜/ æ¬÷ü X¥cß”X苪{@Ù—r@É…6¿Æ”œˆ%å,0Z—3©ìáõ\Y Š¿ð²hëQ°ž½¢l\ý÷ äVu6ú¹Þi<çwž){%ƒÁ}Qö†D÷|RÖpÑ\G÷c§_*s»27ùþW%ŽÊ¸ø¤œi‰ßú\­gƒ~¨å›2°[òâM?X䲂 (gä¼­òü¡ú¯Mñ}À„ñGnÿ]榲~ùA9cÿw^­gOnWùçÊžÜÏ‹ß?+ëñ‡,/}õHÙCÌ<œQæÛQe]䃲6Ÿd¡úÛ¬ÆežT;ýmÝg™'‡Äc‚9—>ÂÎ&ïÅz¼eKÁ‘µyµÊ+˜XП«œ¡jïe?k%ÏêD­v›ÛÞ_ÏýRýL ]ðUÁ„¾­÷†•u4õ,*{v0â»zœ‚¼Vö¶^©÷'”|™³z–:Ò÷_U¿T9Ø㊿HþX²bï,׳3õ¡ŸÜ—/•œì p…¯JN¬ù³Píu;”u2ÃJìg[‰Ôó–Qe}/s󂲞j\­ëY&”5F¦yN™È¹«ºª¼6×zTö ÄŸFžñoÐ{Øë'Jß)8‹yã9Àc«CÉŸº®þAN/”¸ þ8¶È¼ =PÖÅ›nb à’¦•¸Ðµr†Ë{%ןê™o1½¿ªu}örFÕ¬2Æï”=B»ëÙ¾JžÂ½²?æ¹ZÏø"þ„½‚üí(úÒýz¦Ø Ê>Ÿ÷Jç¡ú¸O9»Ùõ3ÊþÅ̧—u¿¿îS&6ÿå\|£e ÿ¨êfòþ\ïß‹?Ã`Á7Uý„NûךUl—[%æ&â~QrD¦ªüm||:âÏ`çŠÝÛÔ‘ÓÅkËÜWµî‰^vYïëb‚sʼu[ü³Ìö*¶å¥Zsgî•}Áã‘uòæ»ø:WüÄ^Á†¿ŠçŧS%9Z¼1?-ãÊžš3Êš<°³·z¿ï•uDÛÅp1ϳÖϯ•üwÊ|¦Öüv°ÎveÍífñå­rþ(ý‹ÿLŸMÕµ^Å&û¹ê^QôÞ¶’WàzÁ Þ(ù÷ƒJ~)²²§Øµ.˲E<Ö÷ÏŠ†¶¢Õ²:­äj)çÚ£ëýñ|úUÁ?áÁï•Ü9ÿ_­oóDÉã}Vߊ-5ªÄAW‹o“ f¸¬`ÌÿðýNÑïn·ÇÂl£]èSË 9D}ŠOw^<|Wß+õœë»¹.>l*þæ‘2~‹]Ê~±í –Ú¦œ¡É\»W|*Ú¿WÖf¬*ãý\Y³ù^ÁôŸ«uMÃBÑ3Wߦ÷'%Ÿ{IÙ›Äò°Qï)öD—²¿í{e.øT×O«=ؾ¾f¹9QòQÉù~«øNkÅ÷cåüù[CY.~ SÌU®{DñÑë7Ø8côD‘[ÓþUÉÞTöŠØ)ºŽ”s-±'-wûÕ¦¿VýkŠ_D<¶O­g­¯×Š÷Ÿ”ý£i÷w8Wt |¦O/ªïþXÿ;‹#Jþ*rv£¬Åf>±<*gŠAo[£oÌOæ–¹âÓi£~rY°ˆ1#7Eã¾²~ëºÚÖSíî)šï•}ßž×sSÊz!óæ·ªÏ}0¦Äß)>Îr^øÉ{eo'òj•ø2þá Q΀"·kJñUi ¾ ýñ›‚!#§ûJìò¶þ[ÞÁ('Y_U°8Û ãÊz_ò¬ýPÎ0³ÜNTý¯”ýÐ.ïv¥äÞ[Nv«Ï]ïï,?³MɯéªçŸVýŽucg0·#K]Jþsþô‰bÇ+yæ¿`Hña°ï°ˆ%œ(¹OÄ]^+ûÀË}RÖN™WýÊúÆeÞÅO‡~|K÷›Çõ¿V»ÿ¤ØV¯•}YÞ×õÿ§VûÜõl½Ì5ØJö¨èéUöí­º_Õ»#Š=¨>Àw¹ûÕ¶!µî ¶ä¶½-ž¸-íu­W9Ëlçmµƒ²‡ëþ*/”ýM:«¼~µÆ5î«Íþ½ÜàËŸ”½ù¿(˜ؘå£C±“œ y3_Ñ7`Nø“Ø]ãJ< [‰ƒá£úÝŸê?9¾¶ Ì3ømÌeJÜq^‰QyÍ)X™Û6­ø¢øƒÓʺ ÷ ó-˜#uY‘‡ÎCŒîKõÇW“CïÒüé%¯ü®øŒ^A—7q-r—¾(¸¯ß±Ÿ 6v}¥Ì3ÄUÀÜë^—¢Óüݧä˜Y6,»ø^ØëÄ‹ñ%Áõš¾•ÿw*9)¼¿§ìYLÌÿXñV•¹mµÞÃïDþˆ7Z=&&ª.ìþs%¶ðV±Æ;ɺÖòbY·Lã{¡ÄÑ\ŸåþM•Ï{7ÊÙýŠ|tT?{y­Ä«×Ô—±ج~ñuÏ•Ö9³Êy¬ÇŠß»¨ìÚ¦äÌ)þûZƒ§îŸSåÌBä|È|šTö¹f,c/¿/ZÀy:ë³Z|²Ü¼«þï.šñ—Áúª­`”ôõûz¯M‰a½®O¯rs5~ê_êw—²ßò²²Vd[Ù¿â² òn²¡Äš/”ý$·,b¬žõ8·Übû¹í–u‘·²Ï•|÷%'¼ÆE–úŠÞ[eÞG=Sl$æ…_åöÔs U¦i"Ÿýëû?*±¸#åLÒAŪw|±þŸ*XËmñƒ8ê;Eo’Ó`Þ{~Ùi´åu•ÑŒƒc{TöK@§ò~¿²wû²öÂü;Tlcè2ÏŽë}ìr?G”ø_¯7ïW|ÐëMCÊ^}Œÿ)Å?@#g®§™Çàë/LŸß+{}ú6z—bCbßS¾ËE¯2þéÃQe6óÝcÊòF¼¾O9cÌ|ZQÖIMÔ{`SŒãsE×7±<—7©äÃùÚn•ñSõÙ´bûw)çüàaý£Þ%ðwʹ¤.ÿ©²oˆÿ¦øÏ”ýÁU{[öcý§=ÊÙWu­MÉ/Ä'™+Þ¸ŽC%÷ê³²[GÑç:¿SÖ’o)v>±†seþÞSlvòÑ›Ø~nJÁÏ׊‡ÖÓo”œ²U%Ò|çØVÖáƒ%o(øXÓ'þZôcÞ(qì®K%¯ÝßÖ?3rÀà°Q•5N–»MµžQð±ÊTâwwxœy}ªÖüÁcÅgÁnâ?1.Ó{¢èWÓ0©Ö}ä°ùŸ)±ybäéÜ)zÌ Ú›8qëmeýþFÑŽ5¤Ø¸—¾cÞC›QÎ¥%~>Ù¨Óåc£¿ÀA°Ù?*¾þ¢b÷ùýñâÁDã9t„ûb­Aø*~c×x_ü góTÙS ]y¯äI»ÁÖA'î+ûÖÚæí(ÚV•¼ °ŒÞÆÇã?’9åRYw¹PýùSÕÓSõ‚wZ^«rvê³­`pï•=”yóQ‰yµ+¹rÄÚ‹–5Û3SâsŠO½Ø5¦í¥ZóðÀàÈaÄ_òÜ€†~Á77ø¾è!ÿîWbËëJl¸[‘ E¿ï7ê'—¢9'ÓøäëjßÑ'n×÷Jlå;e^A/~Pr<•¼ {ÅæbÎWœRÖä™fäÂ|y^×:ëÚûâÙJñûƒ¢«‰Í({k.Öóÿ®øZøÓÖÅ?+v :â¢xé9ëE=?£äÎâûÿêc=G¿½Tb“÷J c«ÚŒìn+1;ç7Ê9 E1ügŠýVÁuЧ7 nvWå)k7º»ô\Á^ѽ§J¼ÏßÖsØ+ËUç²K@Ïa³@óe_I¿û÷FŸ ³WŠ/~§è%ÞA÷â#›ÿKÅ/ÓÛQ÷™CñÞ*6óú–1€\z Ï+ë ŠßàNø#§Ê\;£èv1ÛGÊlaG3ÖýžqœöFyä~Ur}«¯O·ÕØÌ CÊpÛŠ­á{ÆfÀŸÍ×Eeâ±}õî@Ñü¢ž©ëß)¶üWEO^*ûî½PÖ†7xÓ«`.–‰IÅvíWÎ(v9ØžÅO÷÷R]ëhôÛ™’ï‰_u¯¬1ŸRps?óBYç<]Ïü«²Ç2‡nG|Pâ÷?×[‡±½¢ìƒíN|ø'emÁ ’#Í·uø cŸyCO|-ºÚª_ž(gcƒí*º ÜaOÙ‹q§øþ\É%b1Ÿg‹Ä€cÐ?s½<÷t+{C=WÎÊ%&ìw^+ûè+£{_ïÿ¢ìkO(:ó¦h§ì±ÏŠOƒm‚ÍFlØÅ„‚—w*±¥N%^c^u){0Î×{Ï«l·÷iõ«Ÿ£äRõ*ç[ã7+þ¦u(>Ø>þÃ%ÿÍòf½qTtœ({ a ¬©5¾Žc™µ[šQöŒUÖÞøx/˜P§2Ÿà|ĉ-Êœk´|îVÿ·){Ðïó¸XW°ÑSe>6ÿö{ä«r®ó’’§‚¾Û¯²ÎªŒåFYç Î7£Ø3J|磲w |£ýýRñv•s’ež;Wö_ÜUrCñ‘÷}²h÷3ø©–gtìZ×j£Ï”øãB£LtÄ•’ŸsUu“«ä2Ç‹‡³EÃJ•¿[e½QìÆæ[eß¹IEGÌ+ëil+Æë…’sàz}Ž½€.ÚVΪq=WüÆKå 8b¹o¹9Q°^ì‚Óz÷¸þƒ!ú™CåÜ„}ÅÏažGƒ2ÖŽ¬kC9_ûïN±Ù?(g@‘ „x’Ÿ€¯Ô©œÃ ν¦¬=þTe)q–>Åc^¼Pâ–`8à›Ø"ÍyãRYãn9¡ø¯«Mzç­²flDÉÁÀ†RÆhgÝ{[¼{©ì™vYeÝ*ç·+ë(»W9缞¹ýK½ïv<MÄð¥ÇŠ^ò/«_ÉE9VëÈïYËdŽŸVlÿþI±ï/ULj’gÌ|:¦Ä«®•ýgKJ¼ ÿØt-Vû7ëÙ§Š®{¥àxÿPô9²†þ÷XînðþTÙçßí ÁbK[ÊZzÓóWeí¡¿Ÿ){q˜>d»‡8é]£—¿WŸ×uý\Á½°±iëDƒgÇJ~בâ». ä±Ì7úåA­ë–Áò훂ú¹wÊZu×ߌ¹Ð6èê¯{ÝÊš±e Òç`g.Óñ bÈþ&îíz†‹Ç«Êúü|=°gì\÷ã\ƒß‡ÊÞïªî]e¿ª EÇP–õÕ~ñÔ²n9ê«oìè%f ^÷©Þ­òw«Ü—Š ùP´ôU?*±X·ÿUµ?Ÿ÷è£fì{ÿ§FÀÈÑÙ·JL²Úlôýe.3‰Ûø~—‚û>Srù‰_¸ž¦®_¬çæ¿û¸®S¨gÀÖ« à9í ŽLLáAÉÝ;Urã¯;í^ÉÛx§ÄV&ëyÊœQrô\÷¡’wˆ]Æ7v Øã^õûŽ’é2ÆÔê/ãw3Öï¿ÛM¬‘\‹5K|£äÉawì*óŠé°nXhÔùNYKÙ¦ì bßé׺‡Î0Îàñ‡@ÿõk•‰ÎÇ> æs£¬1}(z>*{†.6xGò»ºÿY™Î•¹sBYOÓ§ä7¹ßb€_ªì¯Å!%&ü(ûJS™VÏ#ï”Ü–;%_ß ôV™óÞÖ}Ëýqý~^ôŸ(zvP­¨’wIlØcØ:ɲç1Š ?UüÍÍú^¨òýül=‡.ü¤à™àœÓÅã%„/À< f¶R<ª2Gª>ìZ0!Ë46ƒï‘¼ÙôÙ¾Sr™ç”µ0}ʺVìúÕFyŠ_Í9TòM XöíCÑô¢xÔ©œéý±ÚÖjù}Y×°î«­ÝÕÏŽç­+ùaÊlm(v;q¾]Oq»Ú«o•}Lÿ ¬ókñ¤SÁù׊_ÇJ>Ô·J.$vÄ]õÛŽ’'Œ^|¦œÏx£ÄÓÐ[”?Õè³þêCî»Oöëû™27‚º.ËÍß4ü¬œÇ¸«à.½ŠNîRòS·Š6×q®Ø¤î‹#e­qAâD`î–yâKJκë×ý³þ9¾®•|×Ue¤vϽP+Æ0Z¼±l¡—_ÔýµâiƒUÞœ’ÛæoºØ(ÜÜeX®V”\ìvÆcíFÉ}{PΦÛQΕ8Sìnt56 ¸þƒ¢ÏÁ…”|€-ŦDW‚ã±£œ9U¼š©ßn‹åýUñÝ÷¡úä™’?Ø¡ØÊ;UÇ’“›Tü¢úýƒ²f˜¹âTÙcÐÏ€Õ¸õ øæÅë_”/W_`ëá ü£¾Ý׫Ê9|ä¹Y†úëþ¯Êy`áøô.×2k=„pªä®¢û6¬Á<ìRÎ]Û-~òÿZ™‹W”8 ØÔnµ‹ùä±ú—ûèáKÏûI‘äˆ6ì+²ØYeâ'"ãððVî‡#Ež:”=ý®ªO^T[-3ë ý^Ábf”¹èB­g/)²f¿¦øI›U§éGGùÝCµbž`>øVø¥àëî?b˜Wõ>9Ä^nçïwÊÙLÊú„½âÝ;%®m9}¨¾a¬*zê¡Ú2Xí{®Ö=÷—üÎrûŸÅ?x NÿE‰µ?*±æê¥FY+JlüP±·ŠO_”üÀ¶jøƵ²æ†XòGŒåDÁÞ–«Žµæ™˜Ï”5þ–-ç£Z>»•}_¿ÿ¡èæP?kya>q;&ë>öòårº\Û׬«ˆq™÷/¬tA­gÏÑo࿦ÿg%ƒŒ|_ýÙ£äÜ Æ¿fn¼Q0Ç¢íD­¹Ì·Õgè™Çj稲†€ù¿è•²\Ç¿'LÁmíWÎsû‚¶÷Jîä²^óQY«Çœ~3¦¬ùèVô1õšÞ©¢wCÉTðù%>{Påa“š¦—Ê~Šm~¦ì™ýAÙ_;‡yÜdDÙ;ÝcøH±1±Ÿ†‹—ÓÊrøiæK¯‚ïš—Å+òà ýŽÇß]ï*㩉»aSû{\YÛ|Rý´¢Ä¢ü >z¢`d/•³?й•ÜóÜü¼¯ÞûªàSÄdž*:ß³‰1o³áccÎ)$¾¹o\÷o0;õ1Åäùƒâ­y`™ëW|Móìÿ(ùG®üû_œFìò•½ªÈë]/þ_(>Æ|Ñ{¤Äi|ýr–ÉHñ ßev)ùâ‹Ìm_<™u~Uâ|¼ûIÁ`ð;é/Ë×_Š?`HëŠ?>ºRÏoT;°ÛÝfËüZõ;x͉²·s–ç¨3%–uRexRô6>ñÿaeŸ…½êOì^lÛçŠ}‹€¾Ú¨²æ•œTæÇQeäk%G» »å½’»¢Èõ'e=8Øí­G†N×w äÝ‚˜ëDËÆjõË¡²† b¨î1Ü)k_Ö”xØHµé•’7µ£Ø|`F¨Ïïêû÷õͼÈÜþy¬ì“Û§äØPë\ŠíLÝV['•øÑ'eMÿ¼"_Ä»^¨_fÌ}¨ëàhØ“×ëøwôÖ’J Œ…>ü¹øfz‰Y*ùþoYb|­]‡ÇèË¢™t›²çu¯’ÑWå’Cs¨äоSlÛN%.üL‰—}m´ËíÀ¾@g¾Ul`ô,s‰ÛO ‡ø%66v)ù ýÊÞ&` ¶£V•5`èëæiåŒtlƒe-‘å`¼êRÖ„wTn·çÁçU_‡‚ç]+9&|?*ûR\T;ȉÀ^]¯çÇ|š¯÷^*kBˆaN+ùìÌ+oŠÎ/ÅrlÛ%¶È\F¬bEÉ%Sð/â~ÛŠ.3O»_ëDÉÑ8®ÏJ£§Šî5£6m‹>% Ýqª¬C¯ò¸"nt«äáá[bs4ãùÏ”óBà鑲~ž8'ùlËŠ,Þ©«¹Qöôcþc»TÖá])¸ ç¹²Ó]Õ¿U×SäaBÙ»ßæD‰Ã+ð ê‡E¯~üoèE—ï*s,:è^ÙC \éN9ö°Êþ¤ìõÌç7Åæ›Wì°&nôØ Óe3Ÿº-3Eÿ‘²À@=ÎaÙ]RÖ^ã[L(ùéÄ˶?äNYiyßTöb@wúýoŠŸ¿ª8PÖfï/Mó/ÊÓ£è|p£Y%¯øSñéTYcAÌìb_Ù/ö¨ž7`QÃJž“y¼ªäxVâc_”}Xð{/•<œfüÜçZ­:6Ìyñê½â»í*s,ºôZ±3ýZ<3‡ÏVý–JÎüCõóº²vpX‰ÿá ‘ ˆ/¹­àmÌ}½jÍ«vÄ9F»°;»SrÌðù¨áIS®ß*Ø:bKÁW¬“­[;”xx;ú Úr~§ø¨¬ ÀÿG×>‰eâPÙ—§[YKaÚ{”¹’ܬGe¿í3%&{¥œ‘± œï¦aÙ´\z ü œMO û²Ú?Q}ä1„ ڮؽÕNô¼éþYÙ[ÛüðñØ®oðˆ3eëÛâϦ²ö,sUY?á¾SðÞOŠï5Öà'e» Ÿ•ØðoJž,²Œœ2_*yäßL+ëkºê÷‰²–‡šûé/õ ¶6zy¤¾± {ßíNÁ wŠÖwJ.í¹bl)û°\+c¥·øïþkSö '?æN9ïÓ÷û”|kóËãñ…’³€ïòJÉ_üEÉTöõ¶œXÎ×÷KE÷)˜ñòeß,æ° e>}£ÌuøÅø}Ê<麌‰Xë;®u3¦î» ÌÐ|´­ö¿•õ WÊYµŠ?ïëÿù°A÷²×XXÓhSp˜ÕNÚ²®Œoë€]—ñ7ùÌàûÄ÷Áq‘yæ¹eåüFpq|6|zÎcu´hÀ‡›Pö­x¦è´—Š¾u;û•xc»’u¯än¯+¾ã¼°< ÕÿÄFê-~Ã\W|rÅÌËú÷^9ó}„¯t à©«Eÿ™Zsg§ýÐSï‚à‡¯T]sŠßÈü²¦èšuë%æs¯Ø+nƒÇsóÕ÷¾’_øe ¥û}R‘—™âù«ºÿ²Þ;¨:˜üõ¼Ákôÿ}½w¦ìÿ°©Øèï­Æý%eßó?ø£’³¾«ÄàNŠoKÊÂ3eÿ†¹*gIÙ }Y­¶ô,+q,ßóØØûotì)1û%Ç‹w©k¸xקànuÿLÁ2Žµ]üZj´Çc…tT¿‚Sõ4ÚâûR|‹[Å¿[Wì× ¦|¤ä¾š®wUŸ¯[Þ'ªÜÓ¼)>ÎV;™[ðÑçþæƒÞ/¹UöUäŒø1<Ÿ¯2V_]Ê‹.Åf%¿ÌmµîéSäoªÞª:±›˜·h1lß5µ®™ð8}©è룱*w¤þƒyã‹óVö2ÀWoÆýmü¤h G<ÆÏ/*ûs¯Wß6ÞSb滊 ›ßäð¸ÿ_)¹•ÇÊ~4ŸÕºwò®’?nߦœõQÁ£°A±cç•1ñXeY–lï¬(yÅ—Êþ’î¿wJ>2󨜹 ¬IPöºQò‡h~¬ëìQtü§jówJLóX­kXΕul_•5ægÊþ¦Ýã÷{[_…Žçßçʹ'~CÙ[û®‰ãý½úÀE½³¡ä/›þ¿)øý€á¾Qâ’ J¼—ù|üü ¿çqF\ÓˇeÍóL·â¿ +ëÀíÑ»ðxMÙ¯ Ÿy‡G` +ÊÞ3õ1M=U×Ke¯…žÆ§KÙÿÝÊ™ŠÝÕ~÷×w·’ÑÓxÎå5ÞiÖGŒþPß‹Fù'ò_4ÊîUü =b(ð¼‹øÓdñi\YÓQ¼èiô#:ŠÜdÁºo®ÚÄ8q¹—ŠÞ{Wå¢×¿(yy`g¾·]ý@ ý­’Ãâk¿Wƶ¶Àºb'ƒ'žÍn¯õÖ’W³«Ä©>\><¾"úõJ‰øCÇÏÊÞûŠíÃxÇÞ‚wJîâmõwÓ>ucuC‘ƒ©âXú‹Ø×oJ^`[ÕÎH¾™û—ØÊ¡âÍ)ç¨3Ev”½ Ámɹñs‹J¬b[‰ Z¾úë7¸¾Ë{µ®µ}PëZaódR‰á¹mž=Ι3Ðg¦ Ùq¹Ó V‹¼*8ÇË€þçþ¥ø\=U8ìj£íØ«.]9ómJÉEûctû‰ãCÇÆÛPâÈèðå#Åš¯v¹—€¸3Xñb£»M#õ<²î¸‰œq1©y¸è¡»Hý=ížýýHýã1òíˆîñÚ)k’Øö*C½‰`SƹŒ¯ÝFòk‘ò:’—ÜŠÔsÚ73ι_Ÿo0¾È߬ï­'/Š§ç•í@|½+.`™æ˜Ã°ÞÛSŒû$òœ”?ञÁx+õƒëƒŒ»Ø·x³øß×LÖ»klŽãµfùõX-'ö±\;äØàªhÜø¼ÆíçAð&òÅxÃmÙ5³ÄUÈZ‰`Úäçad·ó;Öõ¼f‚Ç“_Ÿ!ûG¬wº¤qÛR­Eö[ÌAâ’«Hí7ykÜÓ8‹1þ¿9ÿÈyãMö»)7ôM–"5Ž›E7¯¥N?­ñ,/Ö"øó‘¶S³›}S¼Z‚`Ö®5جñ­Ep•.AÛH{³H¼9ˆœµCÚì[·;÷f\œ²bݾX|ü97ù "kÖ‰Ž!øN¹¶\9þŸ‡ìÏágÊèñw‚¥ÚW™è-ÇT7‘<ÙÉbì®SpìsÉÅ3¼‹œGéue·S¼a›ÇÅWΉcyÈ>âyjsŸúÿNc²ÿ_æAìïѵû³ìgîGÎ*´ŒmEp|ûx'¸ï b;œ«\‡ìÛ6Æ3Ñí¶l›ºÔ¹¨Èù‡ÕÛ8#º#gÏе7³Ó6j¬¤qÇ:Ž,s¾ÖÕ¥ÿÏ6öˆ{‘}²»5æÃHÎÉþmËÍç{)²>O!±Ç>¤¦Ê´í.æȵ¿Žû3šÞ½F|©©˜+>’¿Öo tßJõeÛkºÃ>ˆÄÇÆ4¸öè#-ArÄw4ÎeˆïvAüºƒÄÚ§‘=`”Ñãˆ/bò²ïÔ6y2ßGòˆŸ¼:¬u×¾ÜA0NûFû‘sHÛÔ&_Æ¿Öã=ª±mÏ6#çîEâÓõÈ:ß‚Äãû‘XÇ~áy]gîøÍ~¤qxçΗ#vŽmìF0ýÓHÌ:OãøÙ7Ç\Î|ýÁ¬VãÙ‰œ‘`_û¬Ú;«¹¶oi “íP'r½ÍU?K™1vmßéR7å˜ýržÑ—90û¢ö‰Ž :è8‚e:~ÚRðy5’K¾€ØcÖ‹;‘Âþë9dßÛrèújk7‚-^Fj'÷iîV!zö¢‹í篿¶iìΧðÚ5HMÛ2äܵâ‹ý†;âƒc¡_Äoûè«‘šõýÈ9æ‹‘8Ÿ÷ÏFöß:ƵnrÝéz䬤ùÈ:ZPÐbÿô,²Ož¤c¹£ˆø—¹YÛ–%ˆ=_ŠìÉú Á97¢2µ ‰-Œ÷99§ßmGæ õÊÛPùÌ×jÜÒõ‡ôZ ~Û³ý ‹½mÿíºîùÙ/»9wû¢3·«5&»‰³ls7¿# x­c–÷*äÙò'l“ã=…àóÆ짥y^ä$gè~cPŽkv"õ¥µ- :ƒä·wòµX4Z/9þÛ_üïø‹vÏ9 ^GÙ‚ì98„ÿ>VuíeÄô].®áëcw‚ÛY¶n#ç‡ApIc"Ö…Æ8ÏnDžbÝMýAùX‡ÄFŽGËlFôÙ"ñØ6À|òº8]¼Øæ>乎•œÿ± ›ŽÔÍUëØÌ~ä]ä9¬×:§Ⱦqã Î÷ø^c·Š—ã³;Åk‘ÞÔþˆÄ;ö…œ£Ý©ñqMMOï“_\[{‘sà×!5®¤™òïÚ€=HýËlm&R¹B¼™Š`É·y9$>Û·åz¢Ï–uÓ¿Á$Ù'åÀz„cXS´m¼òrîÀi¯±Þáܸ¦r†~Ÿ…`…Ös‘z÷õþÚp¼Oþ–ñúEß« þ­Fžkm¿f‚‹S§R®ŒÌFbtc Ë‘í}ÈÙµÖ3ÿ.$ÿr¶˜×3Èóqmׯ¢²þb:"csLh_ShO@°×9ȳl g1ï*ú±/ëõåx“ôQ×Qwc³¯íøì RgtÉïNÓo#˜ªuÇj¿Ôõ{‘³íß@žýâ{‰/Ž9m+V þômµëÚ}ˆmâ5kQ¹Ïî ’Ó¾€ìÜ£ÿ÷ªÿÈ3¼ÜOs‘fÊC‰©˜7;‘³bÉ{ç¾Ê:¯UÈóÈmÓ(‡\ÿ§4§¶ÔÛƽŽ¢ro·ý^Ï¥õÇhŸ‚×O/øêX’2r9WÈ1 óï—Ô§eÚów ±K¼ÿ8²WÃy-ç.6Š~·½ñã¯!{¢æ‹Æ¥Èós,{νXŸßBreÆ“=owD»åȾm0uˆåè2‚ » ¯uã(§5‡?Šok}ÂÆüC;»Áµùÿ‰‚ã‹[‘=?ÎïDö~­AΚ}ãˆ;˜‡òîxºÃ1é/H\c¿ÂqÃ-ä,J×p^Crð=`?©ÏÈãJŽ_#yîÈóŒSþ‚ì 2n{Pÿ9¼Y %Þh_ïkÛ`H|Ÿ¥kØ·e‰43çZ¡,ÚŸ£Œ-QË5Îeꇲ3 ñ©ˆFç™–«ý%Ès½n#yÊ‹ˆÏ~ ©™«ñîV«}·É¹¥^(ñ|×PÙŸ_#ÞlAò¿–}뺚»£H=‰ý˜Sz‘&ꑙȾ–kE{lûGÄt¬f™óz¶LûâØ­SN!ûuo ߤö­·ö«}cЮ³0¶Ç569 Ô~§åÍ|ßÔ)_Bp«•È9I§_o/’7^ª{9¯ Eû.Äw¤þ8ˆø;¦ç8òücû K̉×Q^èóȹX ×ï ÄDzÎrLá8ð˜øB]ið¢hø5x”ñÏéIälVþÆ5â˜Ð>ý=ë¢k†Îÿ}Aôï"Dç­EÎ߀ԽmDÎ÷vÝ–m6å™øº •µ¼kzcc‚3½löÈcÊ‹kE¾AÎóZ_ˆøÄk5Ž…ˆï¾ÉËßÔužË«'uŒk#¯"uKß"u\\“\ÇŽ¥æ :ürŽ׆c5ûƧ,y¶Æä9؉<óåç.F|ï¿ø0rև疾Ñd/±qåmÈsC¾Cö½»ÖÂ8Ì]D®vŠ'æ¿mõ¬±•MÈìÆóöªÍiˆìÜ.î߃චE§±MÊÇ0ñ”r±O|5Ny©Ýñz½ƒäGJF_ç¸ÞWîUŸÖ•7‘g·ÝBö«;…Ä ö±9G;=éö‘ï"˜†mÞmdoÈ‘âzÊÆ!Íéad_ï3fK»Šœ=ìyqŒp ÑCk‘Z;c™Ó˜Þ÷—xÐñj‹æp#*ÏŒ1îtV¼¡|ØO³^´ï: ñ“w‹&ç#."9”íÈ>=ó‚ïߪ½ âeu;yž–!çý°ÇÚ?¨-Þ»Xÿ}ƒœ-» Ù×5Cñ”2ï8Öz„4Ö\8a,‚c þ; ÿg#²fpŸó ÚíÃ:>Øì]»®9øwìë RŸ^öÁß~,æÁ6ÓøÚi$æ³,mÿÖ!²{±ó—‘³¾×ýÎ;çÚ^[†nk¼¼Þºˆ¼?†ÄLÖó<ó•ÎÍ@êžìçs0¿8wg¼ò-̓s›×«êc’O06{©W5ÖmcÜŽÊšÛ+ºö«ßDrNÖ{\OÎ ”øŠmõ/È ‡=§Æ³íßy-]B0ß¹ˆŒX·\Câ+ËÍr¤†g9R7}ÁÚψÏ‘³Üö ¾÷idŒ×Ê9¤^¥Ä\ì_3›e<Ü>ê>äüÇŸ'Z‰ˆLñÿ5ˆL9>¹…<‡y’¯4NiÝ»MsáµÂ{©§Ö!µÖk‘3e¬£÷!{ƒØç*¤>Å<46j]ê¸krî§×ì µáX€6ǹ ¶Å8å{¤vÍ>“eÓ²küǹŽ›H>y ²FíŸîÓwÚµÚ‡¯Dƒó®ÿçÿ[ýaë5—³‘ón"ç7ü¨ëö³Hõïòâ3Û§Ïl—zŸkg—Ú`?ô9N¨í\ïa\ä²çƘúë›<ì"²gó*¢;íç\BbËÈŠä‰mÉDŸCöÇ]GêrŒQ¹ö–óCÙ<äq,oב:íiHÖMäùNßè5Om²?® Ç‚æŸõœs+wòœljÔKÇQ¹ÿîR¿w^÷²¯m¢ïGäÌ}c€g‘gXØopƒm´s%¶^¯¿ ûÔÌ{ç:ì[˜_»‹ïG[àŸý‘£¢é(¢Sø}‹ÆaðúMšûÑȳ¨Ø®ýÌÓH]ÕD7Ûv´DôS—{-ÿˆœÃAÚÇiN' F÷#û—"õ¢^ãÛuä̶ëü®×„ëá®k®ŒÝ(Þ· ¸Ñmm r¦ˆã)þÏ5~©95O\Cº9S‡2¿yn3f¶‰gÿÜAžWuJ4ÜBêÅ\§îÊù ã£WE õu ué|Ä&Y@êÑnóoú“ÿ¤ï#úôŠúY€Ô½ÏCp¯—5HÍïyKY†Ô¬GjŒ#:7·9?~/²?ä âsº/ÛÆ¡Ôñg<Ò&äÚ[½¡{z(Ž9¢¦#ñ“mõ$î<íuÑlÜg/‚“¯Eì-_GD÷~DÿQæ 9ƒ­H­2¯_Êúý=š[ös9××u­‡‘|¯cÖsºÿR_tÙ[kŸ”8&uâj$6M|w¾`3²W«´?«ý|×3{v#µ=Æš×"¹¯«HMÕMdŽ×…ý“U¾¦èÿ†h¶fÿç¢oyýN}v],çü’ÏÝì_<‰ÊøÃuŒ¤²IÜc~ñÿäÜŽHðM÷¶¼ÛﶼDž™sy¶ ÇsÑá‘<àdðþuȾ­2=…ÔQÛOüy®æRÄæX.ØÞ.d?†ùZ4^Ò˜N òÌ”M¢ƒ÷gþ y¦ÆÑçµyNsá˜vƺLÿßo8ç3}á«5¤‰˜ÀbÝ¿ÁLí#Rþ¿Epíéúl›¿Á?KþÞ@üzò²} 9›}5*}ÙÈ3ÆÏ"u-GÅ#ãRν-Cdù*÷ @Îjº‚ÈéOHìtImQGloH›õ¾çÑusÖ·DÓˆNŸ†ø¾v–®3&vÙ—cìö ‚Çئú~뛽¨ŒGBêùÛK¸‰Ø"òc)’7°î˜ŽÔ‹Ù¿ŸWÌÝb¤>Ê9¯Ç3H.Ëy\ÊÑGȾòŸÔŽó®ß°q‰§Øeëa.ãCìß)óŽ3Ï@bëëAÛdç6l;.¢r¾±ò颿ä§ýeûzlÃ1ð2$ÆäÿÖa”7ê”U&lߊßï">•yz‰?÷è¿=êçGä¯þÏãv¶Q/ëaÊñJ¤ŽðG¤Ž“c]‡Ôg’îsÈ~jw‰èž­{÷j®yíB¤Æ˜4¿ÔÙ:müÛò]Î?éÞ`"Û‘º+û¹ŽßŒ%’fÊÇdÕnµû5b7o#ùã›sç0çÎùÞ@b•óÈOczkÔÏZµý²FŒkZŸ9ïÌù«q±Oë£ëâ×$çd{èuàwÚÇR·Š—}®ÝÈy%Æ÷éúSÈž¦ýˆÍt¼¹ÉùÞÔ<2&6É}X˜ÿÎåÜÏìWŸÖ\Fö²ž@j=6¶wñÛ­+8GÆí.BbæYHîs1ræùKYŸZŒã"*ëkŒ%nGÖ¼×·s'¤i²¿ÞzçR÷m]ègµæø4#D|`·ó#òÜTç§w#{³ŒÅ:¾¸ˆœ£hL÷0rf«qŸ™H.‡ü±î]Šì¿°ßl[â¸äšî߇¬ûõÈb{‘úÎÓ<Äž.Dp0û¼7Õöf¯sŽ`—ú´|qŽŽ!>×eñƒ´@0­Åj×ç]S6^`¬Ÿ<9®9â5‡¡§9…ÄÓìï;ñà¸ÚYRô y¶uÚ&÷ܒǮA±¿ãØì$RCv°˜ÏEšÏÅœAê$¼ž®"5Ø·4¤‰r¿ÙÛc_ßþ'Û>Šä¸W#¶Æc·N2}·5ç{‘ºmëÊœã§áH.Öؤc‹MÈúplz¬hÃë|¹†ìã5®+<ŠÄäæei‡o çüó¿™ûbäükˆÝ)×Û㣌3¢¬X?8v¿Œätxÿzäù¯û»o›Íkœóܯ±°ÿˆ¾¼#~lFžæºõ³†¶É“ÚwöõÖÆ·êºõHœs‰ß?b{”;ã“wZ¨…zߊÔ`z G%†ï¼‚íö]äLòøRÃrDc·/î\‰mÏ6ͱŽ[Ès]³eŸ÷¤h±O·‰Ám[Øåó(’«1ߌ‰\EžãµÉ9íÒµü¼ Ùã¹ Ù›Iþ9ï×QÑê€ý<¯5^Oüëkxô ²'c1rÞ’qñEú}b›nˆ·Æè“-Còo‹³q#~âñöbÑÎ"ñvƒæÔ˜óµÅ6¿@òO Æ9mÒG½iàœÚá:¢¾µÀ{÷"vÓ¹b¶÷9’½ˆ¬Ûâ2ïr£èßïžÓkÅu75¾[ȳG8¶ï‘ZëÈù3wE£cJdžÎëÛWÜŽì¯öšàü9Vu eš÷!¾Û:„èç­®!ϼ:*Úî×^*^Æì³–6ÆvÃ˜Ï ä| ]È9-»Š{\+n=s Éñp|ë‘ÜÇc]o»hÞ;ž±N¶oì5`Ù°fÛà9<ƒà ”}×8]Fjs<öÕâ%çj¶®Û†Ê‹÷SŽg Ï°±Íãú¢Œ.@êÄo#13éø©{¸£öx/å}òŒ!Û½k¨Ü÷@:÷#ëÕ²q9cy rÎïzdÁ4#>èJç vˆvöû òœÅ“H¾â(R·e»b¿ß¶ä,²néý[DçSg3§¼ñùJ~-‚ÓZgצšƒä "~âLõ0â£Ež!z É CÎ)·þY"œv½œ}ÛYëÛ|ÇqögIñõú¼ ,sýAÎÑð:wÜ`{º©½µ¿ëX„vöCÍ“ñ‚cH͹kä랙Ⱦ1ã3‘õ9 y'ço…hŸÄJüís*ù˾½–ù²ž‹äõ¦kŽ­÷ìŸ9.àï»E'׃}¦µÈ3é¶"Ï‘ ¿@ôY‰SŸ.Gž{ãÇö R?s\÷sL®óð¼Z\Gò­¼Ïr|y&´ód_ŠgΟÒ5þn dRËwI¼üFsöµ~;ƒø=¤s/’Wr¾ÞþÏyñc-rŽm€c@×*X_Ý@0B¯WǼžºoâûX¿îÓ\^Ñxø?×w©×æ©…HŽÁ1Ø!?wžuè&_¾GöÑNל0›]ÐÀëæ#È%Ýw9OÅñ¨Çê˜ãrn§ëWf©¯åˆˆäÍ ÛYû7‡ÕÎY$—±‰Ão#ö…}SÛ®9àÚòz<ˆÄ®ç4†ÕHý×.äy&ÖËÔ·íU›ŸDòƬoã;¿fýdH:· ~¯užã,Þ3Á0öë¾ “Ç; ñE~Öû/Èþ&ËÉ<äÙì‡ryÙÓ»•~Ò5äS×Ä/òu!‚ù³Ø¬y6Njþ R`þæÈóŒ+ŸEü^ûÊ[‘<¥ãnŽÍy—³ˆߨwÒelÒ±µ1 ÇE›½åöõæ"yF®¹Ÿ³]'±É…xÍ‘Çûζ,×+Y™…œµç5@w"9 ëoã–Ásˆï»ÁE§kÜΡxn/#uW§½yZt:^3ÆzY[³EûIäœúýÈsÕLŸu·m¯åÞ(›‰Ø/úsÄËïYñúi.rNæ*$o°©¯X¥vgˆ&ê¯cH}ë"d¿Û^§ñÏÆïÙß|$î:‰Äj\;+‘ÜÿfÄÎ;^¶N» ~÷é·CÅÜúÚ_Š>g‹çÙŒ£9Þ)ã¼»Ha;’§[†ä8ì#ÝF0KcÛÕ¦ñcÂë[ü "ïΛÙ粯; ©;9…<—Ò9Ë·mðѶ‰C/ q±ÿyºö¶xn¶yîÃNäY†ŽÓÉËiH½ÐÄP¾ìW#¶ïÃ~w øØmýgc^qýY¤ÎÄö`Ú°ßvÙÿ½ÙÇ<5²åøÆ1žuñq¤ÞjRê6¨ŸV!>œq*®¥mH|g¬ÀøåÁ¢/ûKßÅyçÈKÏCιq.å°Ú¾‹ìž)>RœQ;Ö¥¾²?ºÁ=}q>!u'Õ‡óöé"õ#Ö3‡¼»± ã$ƹ±>´ßÅÿí»î//íìFâB¶ç÷EñÚ<¡,o×8N#ûÒN"ò0 ñnèû ;‘}Ý–/~§<.FÎ3Ž> ±ÃÆ-ý€Äê¶c·‘8Š÷[ðÉñ*3µ?Áv¹&G;ö·Í´^3ÎßéžB|ÐÛȳöÎh,Žõgˆ¿^÷_t/Ð}_ ûÏÉkú?‹ç¬Q×ÛÏ ®Ùàï3Ä« ºæˆhœ‰œE|Ùkq©õ·-²ÿiŸvòóÎöz=²gÁëúPÁ³K¯×Ê-äÜSþ·Aýœ-Ær ñ7çjÞ÷ y{ëã«È3ÿî 9ÀSÈY §Š¹³nœõ²ÇÒ÷œG0¸…ˆÿtVÿñZËŠã—#ÈÚ¾«±;>'Ÿ]Ûh?ë2â:÷ÇùuLfY^†äšìÜBj0—‰¦UâñŒ‚ò‰òŵô£þ_ ùš‹<×à–ørEüØƒì ¹®qÒmDÎL¹Žä¬œ«26{Yó'‹öökl”oç*®#uÏ'‘³OÎ!zÆöç$RŸy‰ìÃïFôÏm]Ã1û0f½A|^…œsb=u9'€úì $ì؆ì+^„ƒZäOv"±šó„æ·ùSbäí)¼‰Ô_ÔØw¢r/â6älcûð»ýΣœCbñňý³þ¶oËßé‹DÎè²?pS<°Ý2&6©1=‰œEÂk µöϬ'íë¯DêF“nDβt\h¿…œ™d]xÑÙÎÌEjÞgêºÓˆ=3ÞißÒöi>òüǘ 4?~FlŒ}¸jw)Rç´9××u'ì¤ÚŸ†ì2–L=c ïÆÀë?²]˯]&ž,ÒýKu_Ë=ÔËôÿR}^‰¬+ûää…k˜}­Džýd9¸ŒÈ–sQž³Oý*¯1½Ùâ_ãQƒ)ÙWX„Ô´rmQ.¾Dt±cP綣òŒÓ[ˆ=ôxÊXÒ¹¢ãHݹ×ÐzÄò:µÿEþ—܈<ëÙºÓcv,ezNª?ëFçF¼~x=×þ.µáyb›}îœÐ^¤6™sd¼Ù¼™.šìËX;Æ]„Ôz‘7§ç,‘&ÛcWû?Œ¼±²¿x ÑQ?‹Ç3lÍ}q<ÎI:‡äµxÙÿcžlB°"Ç×ä)åa?RûêÏ®)Z…È¢k+X­Aü1×:×zÑç¿ÏGÎŒ^ˆè®­övCÿïÓÿ¤}5’§¹„äîí_íg ÚÃÏR»ûÜm~Ž`ëœêÊÕ^ý¿©7߀à-üÏø¼ýjëzãkë"[™‰Jœb)²çm²oÿÑÌ~·#1£q)ëý‹¢ÃxæÏfLZ¶4Pÿ-@êÙèÞêÓù€™zÝEt2c”ÈsNëwÇ>\kÆߦ#çÛX¶¯ê÷‘ü©} eâñ^ñs±~›‰èîÛºg6òLÌEȳ–æ ú×õmŽwN#uñÆ_^Vûûy1^ìØÏØ¡çõ(‚I,Öûfdoò|䙹Æg">’yBþ:69ŽÔªQŽvë:ÊÀ8ÔèµuˆOæ5åøõ*r÷ÄW[ø¬çhØw½&ú¸ö¨ã¬ÐoÎaZŸ¸¿[ÔyÝF껼ޗ"¾³ñ–}Eö—wxÍz}ïCêÝ}…<ãø'¤ö†×ÍÕÿ+ºüÕÈ>%ç i¹>N ¹W¯mc++Ìï$‚S@öZZ.@læ—ˆ­ä¸W!gFïFt•ó˜ÔŸ!çõ^Aö8°ïjožhâZ?ˆØmÇYÖo Ô¯c«Ÿ5ï\Ã\ö÷ÍÒlÜ“ßgjî–#g¿ûZc€Î/XßS¾!¾‹±lÇ–Û‘š)Ïñä9'7ýyÙ[q ‘ÈÙr]hÿš¼=ƒÈ÷1Ýc|á**÷^¬Aör(Ú¸‹øjõ%Q¶(c‡Õÿzw ’{4Ÿ.!Ø•}XòÍy¥»H<[ÒÇ{©s)ŸÇE§ñÐ#ˆ^9XŒ²q‰µkÞ§!XñMÄåXV òùäãñÄ<؋캆äKiO¨Ë—"µØ‹ùgÛ+pŽúp.äªÆóRcêñíVßë:oR³}‰ÅÌ×%¢ë$îüäñã,r> DzɱÍ,梌ç<K5æHÞÒõ:¦Çºq‚³­DòñÞOuÉq–2ïºëÁÒŽíCöÊØæ-Gò—ÔŸ£2çl/çÉñåÛXß“ý8Ïáë­sŒáñÿ®²@ód»~Ù£´Dí\*Ú±¿{ ÉoÍS;Dûrd_åj$çï¥HœéxÔü¸‰Äø¿ 9þ+Å·uß"Ä¥üAήػ×ï Än:n4~¾GŸ—tº~ÍøÁnä œëH½à2]7KüY‹Ê}«ý!·5§³}vküñ$’Ÿ26îµW÷ìBäÐ>®sEÆï÷#ûPì‹ÌGô£óÞüݘ÷ ¤î*1fçk^Õf!5¯‹?–¿Ö¸Î#{8-û^Ç·‘|Ó1ä,-ûø¤åÝ¿ÙÏÌûg‹.Û>ã€ö%vªû»ö—Œ#óeüúo¬×x¼ì·ÜÑœ¯BžÕDš§!XÿAä<ŸËâ!é\ŠØ^Ò¹ÁS ¹Ê;>>ÑÇÇ Û*¯™ãÈÙM”;Ç«[‘z¹»È}Æ]œÃç8¸žf ñ²meö߸½ŸÄ§5ºö òükóíäÌ­5Þã?ç5]S±ÁøÏ!Ï*´|³Æw®çú¾ Ó¹åKHî•ö†úg ’\%Zn qª± ¾~FrÊ?!Ïä¥>0gp©[‡ÔbÏU»Ÿêç‰9/Ô»“Ç8Ðbä,ÏÓyƒ3îxÁ”ö#uÆαîGö[^öˆ^Ç®=w›GŃ3Èó~BÎÉ-õ6ÛÞ‹ØÄsÈ>ãû¼à.×Z¶ì/ž+hôï¶íþÏñÐ9dO•íœãXÛ7òw—úc;;Dï,d¿±qôëš‹Ÿüñ‚ßÎEðZë‚Õ¢ñ¤®~›ÆÆÿg gŒ@öùXW¸&ÊòìÎeÑçXu?’÷¢œÖﯨ÷6kì«5§7‘ÚŽõÈyþ×=l™º(~ŽÔž@ž—JškšNûëõÿbD—­C°¾Uˆ¿BMGðÆËÏ$F=€œ[x Ñuäí|ÄnmÖçź߶àjÁ§È¾£¢o3¢¯[Û'ž ¾yí8÷2¦bLë†þÇv$ž¿ŠÄG”ÍYHý&u¸}„©H}’×Û-äcFÛÜضt6‚ió?ÊçHDg/AöîmÔxw 9ûÈ´ÑGßÚxÞª‚ŽMœŸZ‚œõ9‘­[HÌpºøßùhçšö#qƒ}xc5kEÛÉ¢ÿSš§õHíÐuÑia,vâ[׸¾Û¾çÔµZ¤s1r¯ß‚Ô9m×õ\Ƨ·!û·Œ!³mÛåuȾÚ;âýZݳÉÌOO÷ÛòÜ_EΖ1vKþ|ÄrË‘ÚÝ_Ìä r޴׸ó5ûuͨ|ž1ïwügq[üq,uy>Ì*äLÏ•ÈsˬûKÿ¼xHÛõâC{-?‹.¶=Kó|9óßØ”qpã†lÏq¥ýÑ‹6ä˜÷"Ö«çTšæóȳ϶!9k°^8‰ØhÒi¿}‹ø÷‡ÔõƒýlÇóÄÎBÎþô:´äü…ã~Çw'º%ÖsPîlïîˆï³5Ÿ34×Ó‘ø{šè§ìSî— g ì@üiËÅ Tú„Gdºvëwû4ä×òrý~‘OŽy#ûq,ÔáûZû»lÇu¤‰2¹©Ÿ4îŵbÛÅÿ½†6"{¥B°‹261&¿GŸÉ“±ºf7R¿1ÁlíÇŸ@r=³Äo¾—59Wý8^ö«"5¯–cã¾KÚÆM®·y¦ÎeäœtÇõÖ)ku½÷e|ŽÊ:Ïç<ñͺŽc£<}'Zíkãÿ«ô;ïÛ¡>©oìã‹?‡ÔcZ'zí^B従M¨Ä%¬S¬ÛÈ«Åøb]j?Bž©w©!sÜËÏË5G¤ó¤>Eö^=ˆìaÛ+Eƒ}ÓÛH¬±É›rLÆÓ6ã<¢×)ä™öÅÏ!q’cWʪ±ÔùÎíœðvWžŒ¹?†äKìãØ'ú#>ø\ÍÑ6dÝ-$ç˜7#õÃÆÄÈãiâ»1ÅÏgñžï4®•H-óöÔ?ÆÓ,7ã䌞ëÈ™ìwv1®ê‹ócz1²G÷GóXm¯Êµv\÷š—¼t§®Y`ÝŽ¶k,ߨ/Ç–ß]H\æš_Ç[g]o¿ÿ'$.1–ê|ªëzhXç/­;3Rîw ò,X_Ãïß!õa–•šÿ ³±9×j^DΊمèŽ)c\w›üÇص}‘-Åx7‹òd%â[ßFê?Êxö®®¹‚Ô»¯*xn=mÃöÊ8¯se¶óŽwíûlÑ\-@b(ÞÏõN½dܲ7Kô»ßň¼²ýxt!Roèüï[‚àZÛ‘}²sÄïú=*ñ²Óˆ¬œDü•9Hmß.d£sÌŽ¥øÝ8Ÿ}ÃÈž¾âÇZäÙsjow1^Ãù¶Þ_䈜Ï!?ö‰æ…ÈswØÖQÄ]ßhìóÕε ÑÖ}G‘s1f#¾Û"äì‘ÙÈš¶šƒøC¼g&²GöR#Åþ·"çxš‡<‹ÚŒíø5ä|•ÈyçßÇñ1â+HEY¯Ëß¼'iŸ¾ïï·#çÉZî­‹8—‹ ~xO…õÁL̓óλZ§Ú^Ù6ÿÃØ—+qѳÈÞ€ëâ±s½ 5w íý³¹H}+¯¡|/Ñ5s¸yR'oÿs r&óA§8¬{6#{w}[½Î‹u/m9å“ò»­h{•Ú²½ú©ë´Ÿ#ÚLãOj×>ülÑí5Ä÷¯Q#£KÕŸëÖg«OÇÿ3DßVd/à¤Öd‘Æ}Aã*1ûõ;=ÎÏ{4wö‰O#:ÆqÔ>õµWmÖü_Eê0]çe\Ì~Ÿsìg“h$]Œî@ö¶_Ebjקð÷ØѾõ2D¾î¨ý+H1YLJö}¯!ò}\st±÷Æx@ðÏ+E?ö%Fô®ñ{Wñ»kiì«[¬/‹ö“û4¤æ„<8€ÔŒÚ–“ömˆh}Å×,d·ã¯MÊïnäBû?!²ó‹®_…œ)~‰É÷ªMç9î ÏÈ=ZüvÙÛëX‰¼]¤ë÷ ö¢ÌA8Ö缟Eö"ƒ»€ÔîCô´m×AÄ°ÍâË1ƒçÀŠeb*ri¤þ9àjë Þ_Cž9x ‰ó÷ û.­óíOºîã²è^¥~¶jÜ{¬ø’ÚY­y²|šVßkœÒ{Œ·,EöÿÜÖ8ÖéEØ€<ße•æƒºr±èYˆø.ç‘3–Œ·p¬Ž§o¡Òþ_W»¼ö}ÔÈ3×et ²×pR{T׳ûÛö‹lKøùˆx·Á ¯"çÏÏ){‘ ¯aû¬S97¾a,Ìõi¤a'‚åQ.6!¸ÉmäΫš ¶e_ö3¤¶Âxâ/Hݹs_ÔñÇ›»Ù'`u¢Ÿ÷!ußבó]ØÞzÄdzÎtîæ²b‰è^‡<ƒõ2âßØFYwü€äŒãü€ìùâ\Ø¿º‰œ§´RtBr´“¶e¿ëkIc“]êcRÃÄùÙ€à®+EçèSñžº‚ò½WmzÎÖ©Íâí*dÏÊBä É»ã[ÛD×7­Cž[w©•â=ô} ‚+—öÉ1m¢Çãøé¤ÆtT×lFâÓ#¢Ãc3öî¶#ûu¯ 6ô⛑÷Ž!~¿<Çq3p-²'ÇØ£ñ¬È3ƒÖ"gÛîGÎL¿‰èÜ›Å=ë5Nû5׋kŒCMGÎ>ˆì±X¯ßŽ"1ÚOHž†íì@òbþÍ8Îeä¹~λßBp~žŠœUáüÌ$×욦³êg7‚^EêÒ7è÷ºŸ¿;&së9ðÚۄȬ}ŠˆOé5yÁ \{à8ÈøÀš‰ä󽞹Œ“[?qŽ¸6íƒå:ٌȋã›ë^p É¶ÇÄs¯ÉµHîí6ò Š=«c½ãȾþolé'äÜt^·‰m.i\Öãöçœ?p®†Ÿ¿Böù-Bü}Û¡[H-é^…øÔ¶§¤Õ±yÿ#²7ä ²fx½k<ø;õ ñ£ˆ_æ˜þL1ç¥Ý]‹<›gR·?yfè9µgÿn¥Æiœzò,2ñz·ox Ù[àœq;òÂ5¼n*òœÅ_Ô}×[H=‡1lòß”í¡s¶ÆûÎ}ð¾Õ¦^breîÁ}-Gê·!v—¿ýÓÔÎj$¶²>$¯f"rg,Ì8ÕRdŸÅ}߈ø §‘sÒØç©Ÿ-Èó[Ž#g…Ô5Ûº‡MHœkÒ>¦ã ™´[çp,'_ðg¤¶ŒmQ>¾,xty¦¨×óÍù!·Ü*šf"úÀóá¹p­‡èbÇC¤}=RçÅq¬Ct×|d°•ˆÝ6nm•øvÉ›Z­Ó\.F0MÒLý>yöölõA,b9ËZíDâ•sÈyvÛ,ÂØ(éØì=‰Ô&œ@üô£fs9›ÄõÒóP‰gz.ì'Îÿ¾×}ìgrùUÍ3隈Ô#x윿eÈ>]Û½¢{¹î5V>©‘ÿE÷m@dκÚr³‰çn ±ÅOˆ/ÇvÏ#5šGìÄy®Ãâ©ëìï/Cêv]û£xϱ-íã_û„ú܉Ô*³]ça¿G|^OÛ¸‘Ó{Áj‰S^Fν·¬ßFÎ䙋œs9K‹óg¿Îq‹×ÄݳÙƒaÜÄñß5$_¿©û_¬>棲ff}Ñÿ-dŸcÈ3n];`´•ûÀ=—ÆçŽ!û÷§‰¦iúö›2»©'âü--ÚZˆi‚«ßRœ—õ™ó¶©•›ÔEýXÌeb>âÛÿ€èw®Ã•ˆ-´¿ãš€EÈÙÇ?!çü]DÎ'¹®ñrŽ¸Îv#¹ÛHçˆOéÝsiÜùÑʹ<‹ä_ÙÞý¾‰yAÎj·OlÝo»±[íW7žxX}Òž€<‡rx ñkç!÷zdïë5}^)þ¹¦nhZ‹¬ÃÕÈ™y®É¹‹ìqMÁÈóW©í¢{-’¹Ž`ÜKÅ‹Yú¼Éðþ/‘šÁ¥ŽqÁ¾Ö#ù†OPs^ ۟ت‹jë¬þ³Î™/zV"u7‘}¿Ö³Æ‹¶ŠŽuúϵyG‘3O–jŽ?w‘g©žEöÝAöß¹&ƒ÷îWÿÆæÈ#ûÁ´Ö{‡s¹ó;£1nÓ8÷qîÁ˜°}wç«HïXõËïÆ—¯!5Ÿ¤ëgÑpÙOÄÿw!òm¿øòÌÉeÈ^„™º–r±‘í¥â=õ‹ýÛ¹ï6©-šçRv#ºž<œ¦ë"5›®˜‰è=ãkÖïÆ´°ìÞm›Äƒ}HíDðzãÛuÍ"¤žÈö¾œ±Ðóæv9£4/EðâÃH­ªëV½>9&ûË–—­Hž«ÄeIÃÊb\¿ õ.Î!’FÚiû–ƒãˆŒ–5;®ÉáÏDÎ 0^°HŸ¯ X‚ã¶]¢áŒúÛŒœÃ° 9Ëf?²^vëþ]¨¬Q·n·®´~÷šµ ­ÎGž(ÆãÜúaµíxÓ¾ï9ˆœÃuScÚTðómÿ›ÿíQ{ÆÝ—ó•Îïò¿Hîp)*sstÝä¼ò¨Ì©›ýÑ«Ÿ£Æ/»T´±AãÚ‚Ä üŸksèr,kv‘_â™Æˆ¦Åú|‰ù-g–íëHNt¼x³C4?¶ÿdýý“æÅ>q{û e qH}ymºžu?rn‡ó·¼ç(¢‰¯–wãwç,T;äùg¾i¾_@ê Ø–õÎñã]GÙÚˆätv Ϲž…œó~C×ÞA|=Ûl®“#šÃȳú6!çès=qý9Vž‰`Ä”åÝ¢Ãúá'µk¿ì ¤Þá¶øe½°‰¯ï ûªNŠoöw)§ëŸù‚ÚæXV#Ï#Ü#^¬@ηX£¹›‹äMö ò¿J¼µ|Ù{p 9ƒÈ¾Âuä<¡%ÈùþÖkàÓÈY‰Žç#ç¾\mG56òºÁ>šýäÝȳG-§äç¥bŒÎ±œB|×ÅHÜr •Xà‚â¯SçŠ=G»4vÒlìc=²G’:Éùqû¤ö%ìcXž©‡ŒÅ^CεŽuNû˜øpYüüYÿ¹ŽÁrd]{U×P>Ž#goDÎ~ß…œ/v§àñ1$¶ g õLlk-’C[œÙÅ>ÎêwçSW#Ï_¶~&Mß#çÎœFꛌiŸD΄t¬iÜé.Oî¿N"Ï.´-°Ž›«ù™ì»›`üo›î9&¬G΃^ŒÔ‘¸®ÑŒeçržÝéb,Λ¬¯æ µ¤™råÜð~äl†_ÄŸSˆof>§3¾v©Û½T|.ퟱÉ4ÎǯEδ_‹àS®%¶Lxíðý„~[äQ/"çÌ)ø³ 9ƒ~Rs°9Ò>ªó;Qiwh.+±ï³È9N×Ô¯sæ¶ì_Güá \Çô1ò ?Žq“踆ØûäÆ·®!9›»È9?ŽøŸíÿÛŠÔVlS›»Õ'y½‰Óy/e†9ÈüœDðcòw¹Æi?Äù¦óâÃY¤Öëºú\ƒìm¶mœÅó`›gÿz%’GZʺ6ÇŸÆ”yÍA¤Êxúä1òØ>ÀM¤Fk’s¾†Ä9üî¼ÒÄGü yþü~ä<Ž…:b5‚7r ¯CrtöaÌ“³âç÷¨|’Û;…œÕ»9ï‹}üˆÔx:Žq½Ä¸­ÿïèÅqìCž§µ±û®Ù1¶j9>…ì à8fêóÑ¿ñçØõñÊáw¨¬wßì鱿f´K}§¸Š<{x±ÆåØs;rž¬1À‹âãAñϱ¥ãd¯qÓq\¿Y÷žÖk#²~/ ˜îIdφý‹óH<» ˜÷»R}sÎ?Fâÿ=š‡Yšó¹Æç"ûMŒSŒW³‘³?§ õA®ëú±·ûEÛ§jû¢KWjþÆ#rty6¤±®OÊë6$þ½©Ï瑺I^w‰¹]ûp ‰¿@ž±‘?¯_ã·Ä£}â¿cjÎÏÄ?¸TÜïxúdÑ¿c`çŸ6 ˜åy¤VÞ>ï]QóJ>:÷b;³ÙóÏþî"ç÷ÌGö.GðiÎÕ äŒ’ùH.Þ˜ÆNä|ÆuHNéº~§\Fjª}û¤\/Ôs<üâ78ýY}Ÿ@|ô;åïK3+c{^n {=œotLÊõDý4Ù fÌÌúå&RuÁGÿ;ß±]ó=ÑKבܯw~ngA§em•øó‰â:DZœÛãÈ{¤ñ4‚ °mÊéldŸ_óZ¯ëSÈsõ¼&¯#¾Ô²büÆ£½Öæ 8Ö~¤öÏ2L½»@ü]€Ô²Û÷t¾õ4Rûg]ɾ!ÏR'ïlWïï»Zsû”k4ß ù(Ûü=.Ì>]?G#9ŽiR?8©Ù›Ôö¯CöÂzì'˜÷¶ç¥}»…Ę\‹´C®sÞ•ó< ÉYÎD%6[m¬FÎ×=«ÿ¢rý¬F|ãwöÿïý‡3ýçQy.ªcÿˈO~‰!½†ùÿÉ‚“}¨²fŸ)Ëô}þ›„ì+´¿5_c# ß!ç-¬P»³Dû,‰vÆ5Z®as̾µ˜Oc¶¤ß8³ý«ÈsU)+‘ľëuŽ Ø«ópK\Ù<]‡œ›}©…‹Ä2¶5»¼û Rã\Ïî‚OþÝ:€º{Žøa~9·c|ÚvÈØû^ÄEw¼ÙMñosqïJÄ×çØŒÅ9·<ÉEœCÖã Ä~Úï݆ØYÎçªâ³ù´Jü&=öÙ/‹®ˆ;©¼ˆä—ùúÁÉW!qs2¤›òñ#ñþ]úÝ﮹ŠÔ­QNv XŽýEû}ôiÖë7û¶ö×è³ãÂëFä9µÌØosnåFq½ã¨ÛÅÜ8ày:ĉ§‘sï"9ußg=f|ù'¤¾œòH½A=áÜ«±¤ºÆìz¤>p¯hÛ¥ÏÆqhW¸Ž~FtÌ>į±ÞZƒœ³MmÎGì­ã ã'üß1 yoýMýµ9 Â1ä:Ó°­¢<Bp¬#×Vd†ó˜‘ó&8æ3È™ç!{ÝJ™tžÐœA|Û]ëÚCȾäãHmo©kok»Py>ƒ±öa_ÌùUÇÍœkû$Ç3ˆ.é»1rûjW ÷"Ï–°_¼É-ÞÐ8"øëMdÑ)$¾àwê­iÎã:}ûŽ“óö[ß8‹œ/°‰³ŒÚÇw¼iYÞÈ)ßw û­Œ=z=ÝEö‰Ò˜9g[õ¿íúf$ï眴q»;n{ñ­÷ ççŒEžÇ|N¼àë¼îù•ùÛ;ÇH·‘óM©£×!ú¶öd¿Ð¥b瑸ßÇ æüêÒ—qmßÍ×6DÝBòÚߨÌ#_+èÝ þ9v® ÚâÇ¿PלBüûŸ+‘ýgž+瀜Ӧ®¤ŒÐ.9上÷Q¶)W«ºîË®w9WÖ¾ñiÄ'˜¯öæ¡rÏ…ãÖËÈy=‹g˜WÇ÷ÈsÑlç¯ýÏÝÖ5sLĺÒ~Šó{‡±÷uš¯ŸüèäYõ–¥›¢Õ˜*¯Ù‡àYÆ¡8gï«]ÏáOºþ>oGö8mßó@~ÑŽ ¿ni\®u·L;FpŒä:—ÅØ#X™íäiñ~=R×f]ŽÏ‹ÿë_õ¢ø½9ÃÁ¹ Þ©ƒ½ƒÔ–FrËüÍ1˜ûÜ‹ØŸõšÃˆOx 9Û‹ÿíGê­w yåÈúß`¢äï)¤æ ’oÞ„¬1zöA¿Áy#uœ—ȾÁãjk£Úµ½e?ÓÿÊ5žDZg4»4w\c¶ñü}®®¿‹œy¸©‹wþ‹ëÔ9ÃãˆouÁso}_ŸŒÿcú ‰Ùmã¹>(s‡zþóâ泥ÌmÓçmHžÅ¸¦s!ÖSÖ¯w5iÈ8õeÑCûL¹uÍ4ùê¸êâÿEêÐ.!çzyÎl«ìÓÜÐuÖìë¢×Nˆ·ÆJœ×¼ŽäíÛ_26Ç×ü‚žÒw_Œì…9ªñ¿1NËßùžA°-ËÂ]õ±Uí{ÞØÇÄÛÿq]ÐmDf)K‡Ÿó}6oW!uãÆãíSßÖ

ùyŽ¸kÌΪ ãeöAmï@°¢}ÈódÎé¾Uâµ1aÛÌ3Èú#:¶ŠŽ¨ÌÁ˜¿74Ö%j—¯=º‡ºx.²wzžæþä\”ÃzRtÍQûlË1Ç:äLaûýÎÑ;~0.hÎŽ!¾‹c^·ñ÷Œù;ö7-gÌöcD^¶"±ÜÞâ;é±±oÏ{¹þ\Ï|Gc0~u‰ÑþÒuüJ™ØŽ¬oçÀ¿O¨/@j¼Ö"ÏØ[„ʼþ%$ºN´ÏÓøwkÀj¤ò "o çH^CåóM¼Î­3ÊXÏ~ïFdOÀ]Où¤ [Žì±9…ì¡$¶øj|Û¥êÛykëfÓs©`¿3ôÛtÄ—;ƒø‹[Ô'}³ŸD»óŽÁ¼n® r¯—óÙ|M/ȯÄ9q·É›íF|¬ ÈYŽ–ÎÁ>ÑuL´œ 4–#º;²Î8ÞY¾¼9¿y‚5»Fâ”èòZ°/j½dŒÈ2ay=€Ô„îB|Ä]âi[‚ø·Q™ƒ =‡Å_öy9óÛï·‹ÿ÷"5ŒÛê6òl”3¢ã"ËsEçƒòK½Åõ0Á?FòÎ{ÝAjçËRŽј#gÉqÎ!ud¶çŽ}¿¯½ŽÊsy8/ß"µA¼~!²WÈvzÒ1ÙÈy‹ÆÖ‹†Ï‘µÄ>6 {ÚKÙâ=ß#ºþ:¢—@žOÈqq}ÌBÎñ%­›ÔÖý\c±qÙóé¼ø¤ÞÓ1í­â¿â×.Ýñ£çÑqü\ws]Ë.ä9‰ç‘ØáR÷ÌvŒ‘œEp„cÈÙJ^Ë¿è7뢣HŽÇX¸u¤cÅȾ*¾¼þmã'˜ß74/;‘³Šœ£ÝÔR~ì‹œÕë0rNª}æ”!>ò^dÝ[Ï’&Êå–¸ð×ú}>òŒ¿‹±ð:êçÑ­¯8æçx9‰øuì{#²¯”ý¯V›³Ô—ë_V« ãCsõÛ.$ßó b—ŒkYÏÛ†xÞ·sNæDqß"D®—"úb¦x¹‘ÓkÅXøݘõÍ‚ÿιû8¦¹àx"øàuÍËÄž³-®GcÁö­Œ/ßF쯧lsíÎArEkÔ®íÜ!$‡yñØešúÉ4éßœy¹M49w y^Õyå'dŸÞ-äL^o¹ÝŠ<[Õ5çó5Z6øý[äܱ›ÈÞ@ÇP®Ý0­Æ°v Ï«^„ÔjÙ®xí,AžQ¸ÁNv ˜°?OGêp ]Dί´>Ù…ì‰ØŽ<«€óµQ×nDα9…¬Qöo\ŠmSn*úr¾í,‚-N¿Ï!õ^»Ú0òv²'Ì9Û!cÌ—ÜëuÑíØÅþ…u»±ë(¯…›Hlm>Y¯;_ÂûŒ ÛG7vWÊ÷VÄÇâu®ç¹ŒøâÎù[:.uüàØí&rvÑlŸv,fßÛXð7Èùy¶9«EÓ]dؤ¾\Œ<Û‡¿Ón.P¿Æ*ö¢òìã£Èy˜s]lì7œC°wòðsäëÅ=”…¹êg)r†ætÑò²×rR+Æ1Ñ_Þ zí³ºvfr®8û›¥ÿç#{ ¹®çhžlgï ϵÝ3–gÌá–x>W´ñÝ>î-µgûá8õ¼Ú\->Ì­3‘çKñ>ÊÜõµÉ]p<\«”£Uâ׫kžnilŽýH÷2¤Àuz–…ïÕ¯ý9¢Åy+ã=둼ÁQ$ïö3‚¹Ý)ø5OcYƒ¬ û‘Ö“ 5†È™h§±ÙûÃÿxÞ-^÷«½}–ë©«ˆŽYŒØbc}›üeRï~Ñ¿äãÄ^;'bì’ý{¾ƒÄsÖŽ ø‡ÔÓ³}ã¼Þv|1‚³š%D¾s½P¿-Bð Žý‚÷Ø—à<@öxslÇ‘sñÏ õ]ŽíŒ]l+¾[vøûJµ»E|ã8\ÛðµÆAs~a‰ø¸©›1¦«ÈYR”‰å¢Ë¾ÛX€è…qÅ˶q6²§prþÈrñÛþÎRäÙyŽ³ËÜBžQÏþ®Cêð¸N~ÖoÆîC_W;Îq8.Þ+¾}€èó‘×FÏ@z¨>Ge=¬q˜È>ç¡üï_œc7©ÿ©97Þ»ñö«¯ùºo»æÕ1 i`Nø‚x;S}º&ä²e²€2A½µ[sÉvª¿SH½›ñbã×3ãyÇ„Ömæ×Ƕb.=VóÉ~ãfäyPöiV!ºÚþ¨ýeŽs¡>/Gröã|Ÿq×ÇÌ×ؽ†® Ï^‰`/ü<©-¸¤ß9ÖÝ®Çàû Á7÷#xåÍ9ctßµÿ³æàäü ö½©˜&z×#µp«;Ezì¯^Ñ=›Åç÷5¾ãÈÞÙÛÞ~°xwß;ÏkÃ>ýäWœó¸èç<ŸAž1iàøùg¤ÞÈq_ŒäèsïÖ¼nF0ƒuâëmÍßqÄ7±®vŽg ræµ1¦5¢o½Æi¹ó½¶»”o¯•õÇlTæiÝî>Ä6;&ržËø˜1 SÈYK‘3ù.#u«ÆIì×îFÎÙ„Ô^)ÚöZ²¾¤ÜîAbâÃ2äL‚SÈ9Ê+×ÙQÍÛ]ä|§ºoµ~Û¨>iã!û˜ Û7¾ªv!çk®AžEÏ5: ynáYÍ¥ã çg"øøfd|‡ÊzAç›Ì?çM~QŸäõÇuÝoŸÝþúvÍÍTäl—Mº×4slÔ¯¶Y¶±;‘}KÇ5ö­¨¬3<¬¹Ø…ìÛsÜo\ê"RƒËv'i\_‰¾5êgRiâ~Ž!ç¬Aj~Ž#gy þ„œŸpF<ç:<¯¶ ±ïJdMþ‚äÕìƒ:Ö¤î³ß?yN¥×öF¤6Ùòµ9ÛtnCÎl¿,ÞQ6O©Í}H]ßq}Þ­y»®1ðEqžs:‚em@êNÈ#ê§ùêŸëg’ë¾": uŽ;ÔßN¤ÎõTñÛÝ¿Zý‹<¯™ô}ˆèâéÖny²/ì¼Èäù™Ë‹ùÙø[äáßvÍÊUõuÁ"5”›5'{‘óüAmDìæu¤Öì˜xv©_¡¶ç#˜çÄ6Î阆Ÿ?Fjs¦ µ'ÆÉxýPòa’ǼŒÔCØú©ÏvÍíêo'rv¯ós7,Ì1¯qœ¶ Éÿ:¶åx_»„÷ÐöìFòØ^WƘ¯ ºë‚WþˆÔß9—l,w ò|ʲq,û˜”Ç×5VÊ×4ä z¶ý1z<· šxßÙ¸¢åâ’ ˜©?»Æ岇Õ>êz$ÆùÑ—\««‘3J¶"{mŸ:}É}]ErÀs½9÷þ]» ÙgeÝéõrÆÙMä¹›Dƒ±‹ÛHíø¢­ Î: ©?¼*>œÔS‘<áJ}¶ÿp ÑìÏ¿cCÛjcUÆ©N">êÏÅ‹×,И÷ª½Hœr©¸⣮mó|ÕvÄé÷úe»Öç|_¦ß."õ-Æ&l#Í7õ*ñòØ:é'D\DžÕëü¥m°uÔd/Ƚ®‰ÇÅg‘Zcƒ¿ ò|²H]ÆR$v5`ìÙñ„׌ýxçƒV"{*Heè4²_âœx»±Ù»uýH;íð¤vpr}-Ùºýrñ»åqâ;£¶o³¢˜òh¾^ôUö!5YŽ·O 9`Óä\ôudÎIä¬0þ~yV‹é³?p‘…9H½ÑT>£øŒÚ9ƒèK~>‚œ·n›á¸ç‚ïr­ÚÎGÎ.Û‚ÔœYçBžÃpñÁN"¹c§§ŠßØžñ%Û¬§åú†è"oŠç ®!>çÁ¸ÈB䬥sÈù9äï<õ»©yž]ŒóµÁØv çê²½]H­ŒuŽuÚY$ß³ÑΙWZ¬óujo¿èv ˜åÝr½Ù7í¾¯#g4ÏEž#µ ‰Ã¹¾~Aj¶­oo#¹×9¬Ñu{?er¶ð&1æÍ9Þ ¾>'þDrÐב=“ö ׋>¶¿9¿‡ýlTÿœ ûÇ+õŒoAò›<ç6d¿Œõפ†ÝòH>,Õ}«tcÒR?Y68Ö£ê;²wí¢®çoÆŽf ÏtÁ ä™sg©q-ÝEüîȳ¤íÙç1Žà˜Ï1Ýu¤6²ÔoÆL¿ï+ žP–¾Föͳ}ÇÓö£HÓqDyY^¬ÃØ?‰Ô*îAž1yN|ß‚Ô îCžcíwëèÍš³CÈs|“û³eß:bî1±Um‘c-Æn«mÛ\Ëã)¯ÝYÐz9[|>‚³ºÎxùÅ¢¿“H¬¼©'– Ï]bÛ”ãî;õ};ò+û½§EóYÜ.žUÐw ñg9·”9ÚÓÅü{íÚ÷»ƒœ[cœh:‚U8¦;ƒè/Ï™Çì˜È÷ÚGp. ŒÝ~Fêzn#û9çhlsÌ˲èt‚×XçEjO#û‘÷ ß!=›‘s ù¶ý#âOœCeï?‚Äk§Ÿâ¬¾Û‡sŽé"*Ï!!ÏYn¯}Ý'ˆjú®#{\ë{É5ÜBžÁi¿ÂëÔk›ºÏ±é¤îʶÚù»½êǸ§íøn¤ÖîZ1Ÿ?!ûÊ»ìÒ5Î/Gä~r6‘u ãP¯i^g çS:fµœžCögíBâ5Ç»ö-oûÿwŸøçš‚=¢÷òü¹ÝHlqYmCðúŸÿbÎ(›«üÈx¨cç^œ×¾VÌóö‚Ÿ3Qi'6ˆVcc7zmòžëerNØbãRKrK¼uËþÕMDÛæøÅëNãÜ®ëóg›eìÏqÍ÷ˆm8¤—u˜õµëóÖóyÉWPî–‰Ö£âÛIDïCö…Y®IÃ.Ä>ÜEô¦cÈr\/~·¿±u·jÚÀCÀ¹G>º÷zïޫνWs}îuïÕçÞë©{¯þ÷^¯Ý{ ¼÷ª¾÷ª¯×ˆ{¯Á÷^#õ}ŒÚèyïÕåÞ«û½W¿{¯Gｪî½jß{u½÷ê­ë†ß{ÍP»Ý{µº÷ú@}ýý½×‹êíM¾÷êtïõ¾7Òk¼î¯'Zî ï½&©Ïnêo„úd{mEïí|ïõ¡Æ:ìÞk´®­«1=¨{º«'ÔGµÑ]tðšA÷^4.~î«kÈ¿‡‹±tÒ{7w°®«—‰œ‹÷^SÕæˆæ±¢¯¿î%mÿ*zj«MÒðì½×}î)úº‹¶1âÛ ]ß[mµ×œµÖç'uizïÕN÷ðó8}~X4WÛ ôý[µÙO¿sŒ÷|ᓃÔO{¯—D'e ©î}J4ñ󻺮‹hùNsÆv«Ä—1º†ã{¥à!߇ fþ_ÿIç3÷^Ku}OõÅ>)kMôNzîéÜó;ÿmÎ-õP#÷­EÃ~ëIÑÕM´ ªôNºžS[”Ö÷^ÿU¼¡Sî~sïõ“è½ç»c…îTüë§ëzêÕC÷Vi = Û F®{ŠÞþ¢­gÑNC}¯Fd¦‡®}J×·ÍÅò¯ÆÚ_¿ñ¿ÁssÑó™h[®wöó½úz_c¢®¹g«ð…øI¹¯¶ØÏ'úímµ~}5H¿ ýìû¸ÚbÛˆ¶·Õgñ„<˜PŒ½æÔ|ã;×<åëÔ莧ƒîo­>Çüï#Z»kÜ=Ås^ßB¿SoLÑçjû ÔèšAºþ~Ñ3@mvÑ{;õY[sðø½×¿ˆ/ƒDÛñªZ}t­-ÕN?½ÑuÍÄ+òbªÚá|<#ºy}'}(Ú{kN'ªÒÖV× ÖØ»ê÷ÞúLZ%žŽC>ùôÞ«±æ„/ÊèǨY£Ô¥Oë} ÆhY¦ëIC…ã-zG 묧Þ_OßGÖJmÑlÛAãi©>º 2C¹šTðÖ:l”®ë€Ø»~úÜAß½.ûi.º‰Fòæï½=¦ ›:äKÑ×ZíQ÷=¡6éýuÔÈDõóŸÉëúÜ@¼í[üÏû@¥è_Üc¾öÓœôÑ|ðþGŠûŸlßr^±-Å7Úª¶â%×m×OG]g9fjn?V[üþÈd½(g\'k‰öÿkÑß±}5Ú³øíP#‹äóCšOÎÍ0ñ•¿Q¿PW5Õ¸‡i sÔÇYW´¬Ñÿ4ç½EÇñÁ¼¶ $÷=öºêÚ!jïxqih¦q×øy‚ú訶ßÓõoiü­ 5rÑE}|¥þ;é7þg½ÞOcöš¼ç—cjüòúž/Š{ñð¿Éêzñ£·¾“ï÷b³óÓîùéØ ÿ¹¦ïŸ3ý›­§]k%¼FVß{-ÖËûÞAc³ßõ¹ÆÛS÷Ú'ùñaìöÔØ;ˆö*ßÿ{ü]D‹ÇÏyi¯¶9÷mWkLl«—®áõ”å?!k¥‹è':h‹VªOÊÿÄ~v_©ýajs¸úØnÎ)íe¦2§ƒôêŒøaãÕÖTÍM=D¿Yÿð5Ec©'šªÅÓˆéõóÆ^¥{"6‡}R׎+î³ßmšªôû(õɵK›Þ\mð¿'5Nû×Ï!ë`>âÃÖÑøFêEyݦëZ«ÏîżN¯Új,ŽQ†‹†ô?û¤Ž«ÿI׫ºç…{¯ß¡Æwášl%ÞòÚÿŸæÍö¯§~o#z¸VßPÛÖ·/hNZªÍˆl[o±½·ÔùÕD¿†ê}”háZ Ž˜*žðZÊæKºvP1oœ§—QãSxŒíDÿÍC/µûÔÈtÙ'ûùW][[} /«Q£[êë¿âm'ãSÄ_¨öØ~SõÙ³xõÏþ,>ÑøÇ¡ÆF[Ò6 CüMöE9n®Ç7B´qL”×?¨?¯{¶¿ñË»é>εu­m–u@/ÍckÍ×}âïPñmxA“ý»/õýÝ?Q´õUuÝwc/Ä®ðšZzu4~óÌúcˆæ©³î·ì×½ÅGÇ´”‰ç5Wœ»Ï5.ëÊ~ˆý%môQÞÿ(ë”UÊóÑü°æ”üÛ&zº«múBSÅóGù!]ªÿ¬~ªmÇzœçýâÙ{âùò ¢_¨h7{yþÉwÛÚ.ˆn¯§6mŸ¯Þ{ý—‚Þºþ¿Ýc{=Ñ×]×¾)šºé?Ž÷iµELã >1×ÿ,ÔÈoOõ˹xGí·Cìç“v±­æ€k`â/Ù>ü ñSÇ ñéP]Ï1¼¤ÿé»} ¾píW¡f=¶Ð<òþg½~?sý^sEºghœüüw¨ÑeŽz!~ÏhÑíõMº¨ç:!þ&åí? fMÖFô÷ ÍÛ#ú>‘aÊéCšË·yo¯ñþ­øòŒhø½î#ýö纉O‹ŽÞH÷¦xÒWsë8™ý¿§ÿšªþ¢ÍöŸ¶×xØsˆj…ØÏúâï³}âuŸ«¿úºg¬úµ¯`{æßzëÞáˆù†xÉû@ͺ,ç ‡ú"z¹fÚ‰'ý¼ª¯xåØeŒxÙÁÅZª-ŽibAûÙYÜËþéQïÓ§œ®ñzL!:{°ú²ßaÛG׎Ñwc>äñêÝÚz (x6ZôÑïŸèóø¢½aê×þåwúN^pÍŽDôw7d­‘‡­ELJjÇã?ϳýX¾Û¯£Ï#D'yw¿è°ŸÐW4óE¼”k÷ý÷Ž^#EO7õU…،ވ|sŽð¿i¨Y#5¶úÅX'èòè×âùdµû­^CÔ'}3Æ ˆo5†#â åd‘xÂßW©mÞÛ±­´Éû;Fž¬F|µÏÅÎÝrµÃÿ&iüm@µ1Gt2ö!¦×DóDy¡¾x\ŸËùák*â+“_ö ûŠ¦jÝËk›k¯S?4Dü¯åa<-:ÿVíPN©‹( o‹~öõ{ñà-ñéyÄÿ掊/UÅø‡ëã,–Û7Ôm-eì]ß Ñ}¿GÖÎ8ñµ1jôÝ[HŒ`?¢ZýNAâ­]jk&jäÚ±Ú ]Ë9|FôÏBðÞ_O}OÐ=ä!åýõ7Eôõ6 r-U!X€cŽÍñ0ixYsõ¶þ{AŸ-ÿÔA”w5'ÔëKÿ¤‰øñ¨ú°=âÚj š_Ðÿ÷iü‘uIš¼–I;±ª—Ô'ùIñ/âE³äwÊ`Cñ®Ä‚ßG°Ìß!1ﻈüú7ëèçPékwGìS7â«›úàïKÅOÛÊF¯BZ?Ðo#¶Ñëó3$í«16ÐÜÖO§ëÿÇDŸ}íû4/D­+:;"¹ê˜ú­x5ѱ"qrû‚/m4.Î-×ÅÄÆòÿW š¯Ô×ooèÚùún]ÖC¾¯vØ/î÷Wÿ­¿.šÇúíõ¾_sØ@tØn¢ßÕ÷¾Å¼9–mŒÄÒÔ ÕçÄöѱM‰•‘—픱嵣xPâ¦MŠkÇ:>öœ·*xÒ±ûUˆÏ·Y£ÇÌÞy“Óp,á\’u®óžk{^â“Æ «QãsV«¿j³­æ2ù"bË; ëúéIÄçäk˜æͱþÛjÿ~õÍöš‹'Ö1]4w”¯ZjÏñ;û+~õÖwû1£ó©£Šq‹©¯ïö9­sê‹Æäc9§bÍ[Ê ×«1ÑW ZH'íóï ¾ïÆ¥Z!q®í}ýg{:ñ=7Wc·ï0ºøNlô°æ…~ÐgˆзzGŸŸÖ»¨íqú½—æpœÆÿ xWè$ÚLÆ$Ïë} æ¶J|©O“rîÿŒäûÿNü4.ê8ëEDGöÐo\_´ÉCÅ^{¿æöiõÙ™çÑ¢§¥^£õšZ\ó5²^(Kè?ÒÍùo¬6o¬¯¶Ø'ã ãûËûWÔErÔ¢2Îy Ñ%– ŽÙ˜ÇÛ^<î…`êC=ÄûžÕ{Gýÿ4’§!oè¯R–lë¡ÿ8Ÿ\?Ôÿ½Ô7iÑ+­ÕÞTe¤è†ä²ìO™ ØmR_NDò}ÆŒ­±Ê}Ó½ÜE¿Ó¿(õFOñÓ4[/²×\T£R Eb‹jµ1^|žˆøÙö—•:;Y÷/üL}z~j!þšù=Lí»øR¿9?f{õYqýãŘ‹VÏŸ± òÙø_#1ƒ¯³ß\¥9{F<$=ïh<´)Oˆ×ì» R?aL¬³w†‰÷ÃDÛXÄÏ#z"yÞ?Á½œg†Äß#Õ΀b~íxMðÝ>q}ï(©½OÅŸ·»ë¼ô`$Ï蜇egè"ÿÿ›èµo:Mãq¾ÍkïÔ õtÿEbXö1N÷?‹¬öK91Ve;DÝäZ—Aº¿ ñ úk>FjÞÕ¸>G,Öœr9×>Xý1>Þ…äFFê÷W xhq=ÛÿƒÚZ`dœã¯]²Zs7Ñ1œ—ïlˢΤLQ>#úF"ùHÎS/¡¹xÆ9i"'"ùcc?ÕH\ÐWï³4ÞÕ¨Œ)žBtê#^íÁ×w"]Öem‘õml”¼ù ÉÁ´DbÛ4Žï1]3Xsä¼ ç¼³”y¢æ¢Õyî¾Åµ­‘û7ã‘ÜþÛº¯…æ`ˆúgß Þ¯T_”§¦Åœ:oåøôõé\cS0â+°Ýgõù>µ1W45½–ñáâ?çp,‚ƒpìŸ"ñ¥óZÆ©»êe\Áö†4ÿÁßÞÑçŽvG™`À}܉k…öðqÄçóÚ|JmÖØÇê!=‰ÄfO‹Ÿ!˜†×~}ï«y±|•qŸušã“Έëü¥íÿ÷¨‘Å®âM]Äïp,g9㽉溦—=«ë¶¢+õøŒ‰:7MYúJ¯…â?yØFïŧºúí¤ö ‹h2NÉy§|P¯9WjÙ {ˆžÏÕn}/¤y¦®ï þŸCò`”‹¦ˆÜtS£5.^ó©þ7Ù[<«FrœœÚJûÏ ëÍq·q?Òhó^A+Û¾‰)["¾<×ù»šÊ ±ß¶ú¯gAÛp¤>Ëy™ÎfN~~¯ëë¨-úåôñœƒb;´Ï/¨ ºŽöx&¢'+õo«ÔßTõ×ɯr®ÿ5ön$RK6É}˜žQº¿ÆX…èJÇjö7ÞÓ½äáj½?¢¶8†4\§Ì9,Кëò{9RÿKúhG¿ÙnpRÞ/ÿ,zêj,Ž=©7¸ÎßDjÙ>@â¶÷EGwñ̹Úfâ{SÍ+eÛñ!?;Æ{(ËŒßEtýÄ°Ïð°Úþ•úûµæ¯ZóÓñq»‰æÚH-—1[ò¥ ûu×ømk.!5Ž3Då5¢ßŠ7ô-)G}¬®©óªBâ:cÝÙ^׿Œèœ!úÍù†‰ÅÔ¯õ‘Ø›}P®&«ÏݨYcÕgK¤†¯aA—Çh_¶ɲË×8µýRÕNãx©Ûn„èñv¨¬®öéóq®) ‹4F®ã-¨‘WÊeÊùæ.È|óžÖâ_ö§ÈÊóCH\Á¹çÚ~N ©ß朽¦ï¯èû›úLù|©K )ï‰æ•êw ¢(Ûm5>òl“æÒ¹L^cÿƒôXn«4lkû>Íß»â7Û°}7V4ÉÇ°?úù\»/ˆ­Å߇rÜᜓeu¸xcŸ½›Ú¥ Ej-C‰àÛüý9ÍOK$ÇÃÿé³= >wRþ€Ù ße[IÔ\³ökúkNû©éúíÑ0BóáX±>R;0©“±¼7Ñgûs­5^Æ6cEÏßé:^¿±˜3Ë­óÆuÿ=;TëM}çü´ߪžSçº&¬›®aÿûD¿óï? þ\µhðüó½CxÞ§>)Ú&!¸çd¦~ã=Ì7sÝÚ§µ_aÂ5ÚÉ÷m[‰×ŽWãøÕµÊÿ š(‹K8¤‚sqlU¨ÑI÷«OÇ™<Âx~µîÿñ7V»ÎÅwŸªÕ7Ç0B¿“Ήêë~D':v¤L¼£{‡ˆ—¼ïWºï}ñϱ>ו±¿Þˆ°7ZßïÓ8^×ûûº§6¿wÕXìGÛ6Ù¯püT…`,œëYòðñß|$ÏNhüüݹ!¶ÝÁ¹ïGüsÊuí¼qXû„›Ew&ýô>½Õj—þOSñèmûý‰³8‡<µî|P4uÔoÿ ©ùñü’G¿Am­Ô}ôMõùSýÿ4ÛYoµÑܼ…Ä[¯ëEz@ê|Ýÿ"q.(/“‘õXõMúg Bêo!u|£ýݼbWdíÛ—¨¯ßø¿±]ꑹ¶6R¼~©ûk(Z(UâuiyJíò¾zHÜ<Ée±mçc(G_é:ã‘CD9|C<0ÖÄùyM×> zF¨NâûýŽÚY´Ñס­x•uíŽyúˆ?sEŸ×:cýFü<ÒOY˜!ÞØF×Ó¼ŽQÿÃÕîƒê§!R“ÝM×ó÷—Äsò­6‚Y>]´Õ³èç µ5@ý{¾z©Ï÷xÄþbOµÝJc£ù*úìoöØ»#õ®#9Ÿ®¶;‹–+òåñ²R›å|[?]Û•õÚÃć—‘:^?D}8Fvük»üb;Íëec±ßãgÄ%({Už4ÙgäØûeñv®h¶m›O¹^ˆÔÃ×Õ}!ùÎuB¤Žê9}Ÿª±ÑÔGêAÈC®©êÛóÒWü Ïß©ûµ-ãøf©Í÷6jÞñÇ¢®mé&>ØÆØÞuUßÛÔÎïDï.ßd;\[‡ô»1†{ã®õ²ÿ–¯}×'j»¹æÀ˜+å³h`´OSµk_xRK1IßÓן[ée_ÝöØ9_Î߇ì›rnŸÐ1ÎT©l‡`a®xO|ä5ÔMo ñûŽä?ìƒrQã >Uï—Q㎃Ôî@Änþ‹Æ7Ñ¥U¦Ìqo1Æá¹j.>¾„¬7¾;FqlÜñ%mŸ9†ÞŸýý¾ödL¯*ë?(Ë!ºŽÿwx‘É‘âå‹HÝz{$†î ~["õÖ[=Ô^KÍO}¤fkòNyYK!9E¶÷5âwõQ»ä+õý ûÉšùnª±—¾!ïqíÁóú½žÚi">¨qCâT¾sîU{¯êÿE÷\Äw«Fj~Hëûº¿ƒÚ Æ‹yóÞ¢{ˆ~Áëùý!St¬ÅvZ ëÀƒä§¸¶~…ÔU!þ±ýêñúÞJc]Š9¾Oó9Bô³ßwô›ýˆ¾H®Ê±4Ç1U÷ð·¶â]=µQÑWc‘Úš®H}ùjÄâk "ŸæÿŠ‚'¤÷e}ïŠÔq ЫZt°êêêηñÚHnÃëÞ>P5r…×w=Tîmçz§Ì4S߯!¸äëHîŽëá·HÍÄ$?;Yû\Ç”ÓÚHýÅ.º÷O;ûr-Xgƒ±_hL‰ÿÏAÍÚò¸ØF$fÌb6âãU!ç‹rlaûVú uÄÃ:[{Ñø8ûÐÿÌ-ÎT›!Ø«s4õº;¾7P[üÏ9WÊîç~ÁñQækil“Ô¦ó1;s‹Ä£Ñâ·ít{TîY·¿ä5öâÇöCjRýÿ$ßÆÿéo¾%z&üd\ÃÔ¥”•ñHžŸòd™}‰)»©ÃšOòcxÐ]4´ÞGò²ýZឈî"^´+~c”¡DççH¾Á±+yð¨þ:‹7éZc=Ô—\-ÔÎÿ ñ]Ô=cÄò±/âÚÞôíüÝ>—ñÄÈú{VýÐ>6Ö äåSjƒrÔPc$ßZ«¶Hi("cŽÇÛh÷ü ×»ñ2Úœ‘õkìÁ´üV¿;/0Ù‡jQ‰Së"1Pµú÷u^«¦Çñh•xÕÁˆ_p:h®þ„äÓ»#õ¶ÆL¼zŠo}Ä~º¯²ÿpæ„ëú>¤ùWňUüÙ/öR§Jžÿ­xèüEod çj¢Æ9I÷4Ô¼M?¦!{Âø¿ë¾ÓØF"ØÛt¼dlv˜Ú«‹Äso#øçdÿ9$/Nü•xú×HMÚPä| ®‰ˆðRϵ©qáÚ~Rß»!µâÆǼ8ž¥Þq‚K÷ÖýΡƒøÒU¨ÜÞH×QïC8§vFpÈAî;Éë®Eb~ã-ý=Æ7Þퟸ—úm¡k_4ÓËkŸók,ñ9‘í}¤ÿ¦#8§c-ãþä­sÄ!9—)È œ;Ú½/ I?ýÑ‘3´ø‰ÔCð^®ñVˆ}ú¯È^ zÅgÇ|m„æ´Zs6^||ÉἉØUcåƒ4Î_õGê´í:^`ÛÖ‘”ƒ®h?ŸmÞBêÃþõÞëÿ!>pNˆ9tBdڸ߹^ßCjüéµÈ«Ï\Ì;ê»™¾Ó†Zðsâo6GìkѹÉ3|ŒÔ+S–ì¿R>Œ§>$þYýûãï/"¾1Çr±éýô»ñüFˆ^¨‡ì_áøhÏÿ¨±5‘ºœÖHNØNŸb|í‘ø°’Wu|ѱ•ïk|¯ßÞ¿‡#1ðHñc‚ËñÞ™Èz·fÌc²ÏŠ<û9—­ñ=Ç!g€¸VÄ1»õ½ã_×}µUˆOñ!²g²’Ûd_"¸ùû‘úì$Ú' kÚy9êFçÿŒV»¿Ep Û¶±¨¬ %_ÿ€ÄJíÕmùÄG1?<ÃÄ—íˆ8Lt³½6HÌÒY¿ .Ú³\#î¡ÏC5NÆUÛÄçµÈÅÍÅXí¯‘?Ÿ"5ÀŸýò~ÅË‹}Ý!ú­ ñ¬«ŠÏ¶uÖ)öõ꯺ñýï:¿êýÅ÷¡H½cx®‘§‘5ØY‡Ž—]3ÙóÕ•rÀñ½‡ÈŸã‰áH ¼ãnÛ ûæ¤ýMÔIJŽcÚŠ¦>ºÆ4÷Br>Ôw/‹wŽ£ûjî8_Ôí@r=¦¥Zm3ü'Ķ;Çê<‚}”6H uXµx5Jm>¬{ÿOùvmÌŸD'í/õå~¬þsCµxúb;gè}>jäl¬ÆÃߨßÙ¿«.úw›Ö!c¬óõ!²÷‘tìD丳^_#>ìjÄVþY[–ÚôìúKñ¹²¾‡#XÌ0ñ¸z'½lÏëˆg|ý•ÆÒ9æ3‚ùÐÎÕFlJTî¿1ì¿_è¨9i¤öøÛëšÛ:¢w4âÏ1C¹©ä ˆñrÍ?zDÿƒrŒkÞw×8¬;ö#¸ÍïE7ÇÒª˜¿vj“ô6Dj!ìÔÑ<þJ<ì£q–yH¯É±âù{¢m2â_vDâ,û=‘x£5’ ³D}ø°èl¡W$ÇFW"uoj|oëcèœÓñâ-}FÚŒš»ú¾bŠ8ÖŸ4ÇÎ÷!>,Ûh†ä*»êwŽë×fÃßß-£ÅÇUŽ/êèwã¨üÜÙ·I»>Às<¢àÑÍñ(µ9L´9ÿØ9;Êyÿ–ˆí÷:íŠØ—îÜ É'Ðõ–?û8e¬h_æ5d_u+ÄfØgàwÚGçäÆŠOÕˆÏ][ã{HŸ?Dö6¸gYA±Ö Z8÷O‹—¼¾ ‚ó?ÚÚªDoK¤VÚð@$kœÊ¾8ÇúhÁCòo *ëH¸¦¨KžÓ˜Æh._EbÛIç0;êšW}ðÜÆDÍóTžUÈ÷Æ6ä å‡ëq>²GÞüá÷*§!'óe{Aú§ê÷Çt}7¤ÎµŽx?9€º•kñëJÄ×qкÃ>½1žjµM}×\óõ4RGí5û•ÆVú@Ö¼g:Rß59 ²;RáxûmµœW„`˜ä!墫æä9¤NzÀx¢ý¾Ú u¤g²¦Æ ç~ò;uŒ17ÇÏ-ÅújãE$Î{«¸¿ ©µ¬ÒXÞFö¹;~°l:&66µ¦à‡ñ#ëÀF~ji–®·÷ÞœSÕ9—´¿æ¥…æϾ÷ŸXÌv»9â£õB|C®%®ƒw4çq,—MtÝ+H^iOrværªþK¯þH|Ä—ñxÕùîjÛ¸N]ÿ·šc˜uü§#²/œ¶~’Úž¬ã«Æ(žDÎÓt=‰k †ˆ>ÚwÊ–kCp{û®ýü[Ña½fL‹v‚ëÙº˜qÜÿK÷>¬1vV›ï 9dãgÆ‚)‹‹Ç è=ÄVòkÀþ }¹OÔ7Ç:L<¤××gc¯Ÿ¥ b!ññ†~ÇoôßKHý}wä|õ¶H-"ýÊjs$ß2©wä˜#¸@•ÚmŠì| ©WxUÿQg<„Ø9®#ë±Å^Cò™£EÏ€¢¯¾ÈýµH߃¢“ü¡_ý–ÚzÉëô?i¦èw×^XN(ÍPy û}™ëÈÚü‚•˜¯<}áõ/#g*|)ºFrÊÏŠÆšûÑÆÑÉË?‹¾—tŸëŒÃþ#’«§¿M¹}O÷RþÛ‹Þ·‘šÇ‘=ÐÔÁ-ÔF}ïŒ`$ô×›#~iùzçã7ÒÐFŸ{ýïÜW¾ÚŸ»!úÒsÀ¹ŸˆØš®H üâ»u/=¥_Ñ •yBÞS«¸Ök›m¼…àvUHmOKöõ­ÅΧeÌ|kØÂZº·KÑ®ýUÒg½Æߧ"gî@öÔQ7Cöòzã:Í4FÇ-ŽŒvGb'þö$ŸÊï {æ­—»#uëö—­ÛìÒ‡xZÿ5CÎàc;CGö7Q<âXèçGp~ûtŽÅ­«º#ø‰él¡>‡ 5»¶‡Ý›49³r þû=zýÅþˆ®³^ãÜ>Äõ= ZÙ­Zãë.~ÙÏ°Ýn€ø?œÊ/×ØTÍÕCš'Ë3ãrê úÚô¿'3Niž ­äkcÄ”¹Ccuß#ëß:Ý2ÔDtFÎI±elwˆÆñ€îmˆ¬¾6k ½ßüqõ÷¨Úð<ÕAj¦)³C‘3 ]›³Á†l[éwûÓ­dë*úXÅãRöW' 9ñâqTÆN­{שùì ÙÖƒ LŒVÿÏ ç:ŽCj]8Þ/‘\ˆó*Ž{"]CDÞ\£1•ç»ü¯¨Ñ/Öüo‚uql çaÿ­úâÚ~ÙÿãõK}༫m@ÑÁ¹¡\8žmœ-3Á †#gŸs-¼ød E¯é3¿«õ} ø³©Çi.RuEÖò;š›6ºß²8Bm>Ô¥Øè‡ÔåO,ÆÆyy©ý="suŸ¾•ø¸qaöq¿h(ëm¼þ>Ft½ã¤²Îƒ¯ôÿ÷jÏ1–sh»d»Z_m½&ú}ˆg¶÷#ø£mÔ³È~¦å¨Y×éòÿ×/é§Ïÿâ°ÉzqÎ-‡c5–_£òŒ9c$Æ"Ìó—×R?Cž±ÔO¿-DÍÜÿgd/¢k¬žÒ¿‚Ô8n€è¾ª¯™ÅçÎÈ™@- žÑ}‰újü¼ç-äüâ*$wÚT×Ø·øžŽ™ùûË¢·–xÇ9|‰å'!8Ïß ç³~YS7õïýš–+¾žC| ÚìñȹZ\·ÕHMê ¤Þ¼J¼˜‹øƒ‘µÖ©=²üu@jGØ'ã"êWÚ’‘ˆý&-Ÿê^ë•Dƒc4û'DWÄgäÜ®ï”ÕfHö&²o‚úlŠúø3âDâ‡4Žúˆ¬È_o]ã¹âï/"¹®—¢½9²ÏÀµZŽã­w(w”Êýhã ]ï!ûîG#µ%'QÏqÍY/q=·G| û'ŸjN¿CÍÚçÚUÌQä ˆñš›ûÅ?ʪmüÛº–sO¹|M¼í‹¬ÕÕÖd$÷dWµA;Ú©¯1^ÖW¼¨¥6"gÊ°=ÊðsÈyQ}DÇûÈy”'®ÇÆfÏ´:Rmr>¹†)Ë^OÝÙ¯Ö}C‘ºŠ)NIùþ¿"5u\+/ ¾œ×ƒséƒtMKñŸkrò\‰ˆþžüï5ÃÆÑíëµCög Cå¡úÈ3RlÓßApÚ1ˆßQúìŽG¨MÇÂý|Û{U÷q>: >åJDç? Ï÷i¼¼Ï1g+Íßïte¶³ÆcßÃþ:eb”ú~S|0NÖ©}tn«'Rcá|å$¿^¥ùí¯6_,æŽ/Ú`Ëes RŸb\¢‹îiŒÔd“O–5Û>ëø‰j«’3ã‹ëýsí‚äSv#µDö¥Öh^)ßÔwÖýß!ϱ?lßâˆßøžþ7>gßØ~ÿ(Í'i Í´üqO@åù:\ïß›!眒×OóöNÁ›2!ÏÞ_Çi uõ'ß2Ç6?BêÚ)ŸÎeU!û°¿M¹`îȘY-ñæ5d¯Dg·$ƒ‘ ?¿¡y°í4>b=VÑ/=Ô^•ÆAß”óLB=å:ûÜ=õ?ù^[4‡î„œ»ãüd5ržn'ã#DS#ñÑzŠãfŒÿ>Rgÿ6’{¡\<'~¤ëíOÙ§ê©ß,‹ämc$. .l«~' ºÞ±7ùוÏVäµúj>8î¡.Rä%ç"¸loñª/rfÿûRcö7È9Ž½F¾FÎk®vÞCâwãž^Æ3'!vr<â_XõDöö4Ö÷ºç·ÈYǶC³š^ÐØF :¹_ÇU‘3Mú!5pU÷ï¹9ßȶˆß½68_SÅ«vˆÍ±L7W;¼îÿ.ê#8éª'Þ¿äùƌwµ)þ3jì}QYkæøˆôU£rÏ urûb8—÷!{ñ gNm!1uÕÇ¢…÷=‰<›©²¾º"çܲ]çž}µ‘½pÃõݹcóØq°ãÇ:Åë[$×Ý9ã˵@_"qHÍÏ.äœ#ÊŠõûx5ú•|¥.¥l½¬qþYŸ[ ÏZñ8-ƒ¯"1\•ÆëœÞX¤nhâßtÔ½ô=­cûõA|ç*¤f¦ò,D¯Ú˜û‘}€ÓšŸ¾È¹»Æ¼–;é?ó‘ïÝõ>²ø^©ÿ72JýQæ¹Ö˜-XyLŽ±èÃpÝ5Be¬EŸó1¤¶vjôE=µùjð0çsú#kë$·á¸º²F©Û]sÒyÆçÕù¿Áúÿ9}§>xÑlÛ¹žÈº mÆ®«5ßOj¾ýi¾?WÐHÌÏ1Ò +®~‡":Ųæõa¨Üƒìx¥?r~”וã¶Ë\mÐ;úÍþP?ïa_¿Ò˜g¨FjnŒY .ø` «+â£;ÑQcŠœôϨ‘YÇlƒvfò\/ã®Ç8¤NÖý’Ç ‘ýáo x¯s[cšÛ öO@{þ¹h‡èAòÓØŒ}ÇVÎ¥5U;ï û¡‡ ÏÓäÚ+Zxß_!د£ÜM@â{ê6ú~ˆ—/k<|¿ƒÈIcä9•–Ɉâü(Çf »ò õ*ýÖ‰ÏÞCöhÿ%Í”£‡Ô—ýô6HÝpÝ¢6ˆÍªBr>nÇñ–cjcvÎsìCptŽ£>b!ÏŒÊgÛQ¾¨Ÿ¨;V"8õˆ‚¯Mû:|m¯8®Íš‹:ˆïõk»ä|Î/øn™œˆÔWÛG÷šªƒ¬ë`ëü&ˆ½æ¸>EÎ@¦Ñ‹½?µ/*÷mØæ|…ø‘êý~½“¦MHŽŸ÷|ŒøÙ¶›ä9mêÈ3–¨w:#ÏD´^°}Œì32~V…ĵ‘|Ü?ëºÁúó7Y×ÕEüÝÁ¨ôU»Ÿm9Çô¥{}5GÖWËCsüG¿»¾Æn ÛñܳÈ^:ûΖcÊfWý>QüyÉáBž-l\‘ï_èþQzÕÝÝ{Ë5lýßÑqöLjG”™FH-ܤVsúÿAbõ7L·#’[û Á¦{iŒäm=×Ò[ˆOo©'’s{Î~Š`³ä]7µcûý–xÎù¡½žÄæåxd?Psäl¡®¢ÙØÛ~‰I8NÆ­ù·3ÙÇÔ]¿µ/»kÌŸ#óN‘r³ÑQÝDÛ$dïµã®ÓÚòrܱ/ö#<Ý‘3U\“âß{ïþýX÷óon×1`_D§3þyñã«‘º 󶶡ør?’G$Í”SÇÛCÔî‡ÈyÙO ñ’sC‘gÒô)>W!²k¿qŒèoZüæžòÖF¿OVÿ#úŠü\ÌÛ„ø9ÆÅújÎ6"5sν@ôý“Ès9›"{D)W”¿vâ ãîæºö $GC=܉“ë‰Çoë½›úÚ-þ~…äÑßGÎ2š ºŒg»è+þóý dÏ4kèkRGÏV{Ó‘g£uGjm7Jþ×Fì¿¿®q»Þ¨>R@}ߤh§ ¢›Œ]Ùæ‘g¯ y›w‘8´Žx5Ióå{Is dðwcG5Ž³‘Úµ¼ªSô79ïñMdÿdéãŒÿú#:ÒØcÍ*]Û^|0þß©ú•9§‡È2ÿ’óø[#X«×h$i<ø]Ñó ‚1÷/ÆÚ9G–×QN¿DêûƈÇ-õÎÿ[!g”óm†`K¿EjÒú¨ÝVH~s2R‡2F¼n ë^U¿ þ_óÞyk÷?‰Íÿ§ 5Ɖºw²Ï±›^ãE[—‚/”Dë~ä|¹¡j‡ŸŸGj·› ²áø“mü3âç94EýÙn@eíüß¡&VYŒØêûµ‚5?ˆè{Ê—q-òîQDïÙW% ”‡ÝÈ™;ãç’µ@l‚qņÈYÆ­4û–çnHnÎ<~Á9û¼]Õmm7ÿtœBþ3é¥ûf#ñcÓ~Å5Ñ=÷o¨ï¨<{­Œ;/Ðo¤ÿMÄÞÕ×|PößBöt@ž!;YÖ·ë·H½÷bd¿}$‡Æù§l1^ÛJ,ɹÖïPSïç˜p‚-ŽBl=ý dzž¶e×öj ’ázû-RSíxj2R›Ïõÿr¾Ì¨¢Í£¨±ÍQY«Éö( ÿQc| ÿ~fí¿ïsâo‘œºók¤£­úàú&¾öÖœ°ß1ȾQë1Ï×!ï§ÌPÏ2?G[7©Kü‘ÕÚâ yþ búiü¤ó<øyîi»¢o×èÔBòˆ%ÖX…Ô;¿Ê÷ˆÒ_¼lì¿h&S®ß´FökÐƼìÿiª÷·t}3Tîo‹œ­ãš¦ºžºx8ò¼ë¾šÓîH s˜é¾ýg¼Â˜ùÙÙÓÖÉc P_[Õ&åоé7¨<ã¾µÚ`s‘ºšÇ‘š'ã$uô›12ã¦m?q²è Ýo ë† 5­svŒ Q[ŽÕÿ ÷Qâo[ñx˜Úß‚Ôª*Þ5@ê¢K™ ï¯ŠÇNUÈ^@ÎõcFûò `Ë«i%í‘gcp|m4'¿B0vë`û7%ó âÓ¿†ä59Fʇóù®c°.2^p y>=yÚÑ3ý$Ñœ@Ýkÿ¨7rŽùÝÉS/Pßä;×ç@ö=¿„ØÇ–ôÙÞÓïΩÔA°—–âÉd¤zÚ\ª9¤ý|Y¿17ñ1’¶¯6Zã#Í\sÌ÷¿¯ñý RCÎ6Ö"ÏSÔZ´FžíçõdÜ£3‚Gð>ûežë˘1 ÊåêI$~•ùã&zN4‡Ÿˆ`Î=ó»#±aWÄN:‡5ñÓ8.ûwŽ‡¨Ï7ç”qD{Í)ý’Úêçuñ²1jdm?ƒÈ®m|ÑË~›"þ|µùRù;W·ÏI:ž@êazÿõÖXÞD ¾?±aî“qüïÅCç ‡Š/ÎqX.G#g³8Þ$ß_Bž­Õ ©­o£6ªýþHm ïýkµã5Ð9+¦r~ýÇ‘XrñÔÄ–4Gï gnÙ÷±þ®¯90¶j,a€èe|ö…è(š©KÞCâÈZHÌE?y*²'Ø’}FÊÜ*Ô`=–qòçuµ³É«Yþ?Ò8Füdç#<Ÿ\œë ˆîq‚} 댿S;t½óséžolŸ| ^l‹à5œ;æ*èË­ÖøÈ›‰š¶Cd¼îa6 Á¢í§ÎFte‚·Ö=þï+Ÿ·ëœ.ùúb1V^G|˜þã‹g5rîŒýBóÍþÎýHÍMñˆrÃùÿ5Rwô¬øÙÙ+X_|†à}ß!µCŒ¯Z!¹XûÆ«}6Æ ”ËAôöÇÈÞÞ!Hœ´‘_ u DssD&¸V†!±(ß—kœß!XÓrÑb\ÓþP™sõšà¸["5lË;ï¡î}‘aë¿gر‚ öÖX3Z‡š¤ñ;¶r›cpË”íå ˆ¿=ÙK7ÁµµFž»æXÒ6 ’û©œÅ×Èóêêÿ‘jó¤Þ¡R/>Sã¥/ÿ4²V½Ž»ãߟE^ëMd¿¾1f¾~ƒ`žìãCÍãÎ ek(R VÎE;ÍÅ{H ñbS!ñ×–õL=ÄwøÁâùr Å´¿“eˆ|{Gÿ«j‚ø ýÁ=ŃHÞ¯.âŸõßißì“·¯Û9OI9z9‡¿uÏœ«jœ-dŒd0—r\ ¸ûáW!9¾W¶²r¨Æô=ë4Ðøhçß@|Qç>Gö[—¼‡Ô5±ÿo‘óy,üÿ$¯1 ñ뉦†ö{T>OÝ<¨RßÇM[â¼ ÇèZãBý‘œ?ß)7ÄGòæÏjßö”´»6~בãÀuÕùA댽(Ô±qâ ÇÝQ´ñ¿‡‘B놾ȼ^H~ÚòL^”q2û[ŒàÆÀ]«bÿ°ŽxZ9—ˆ×·_o<^ôщñ©#ßAjLœûùäÙNüÎ5Üñ%º"ç:9ŽeßÏ¡›|BßÉ®¿÷Û?Dý«êŠì¡YŠ`¤ã¤6ïO¢¥™hYÓuÏÇšS¶{?â·;—l“s0L×¾ƒØÑ^HÝq=ñ”ÿµBö–ÿG#ºóQÑñº¾·(hrN§±xÍûì÷ŽqÈ39_ÚN¼ Ú@s·© â|MBðGû—#ü¼…Ælù¶<³ß¶H€}8ïÂ{!õ}ùun‡Ÿ)S½ñÃ5&çÑJׯîȺk…øìÆòl§ìü‰ëI³ó2ß+œTôE¹|\ó@}åÜé°š9½ïuÏ䬱Έ¾^|¶þ†È/åêKd,Ó8^BÖSG¤&¹’çæúø'Ä'Nôñÿ‰jç!Ëæ÷jñ³QñÝ~ ¯Ù¯{¡Æ_äûÃêk ¢ßÇ#ñí<å© Áú­UÕjc¼î©ƒê*“¯ïè×Ó At å’òÌyÿRcB»ËõÚ5~}lþϵH¹zB|wŒÖ‰‰é×´Ï_°Oò⼫߫óÍ)¯¿³]ÆÑ :FûfÃì2ÖJ/ÊKS$§×©»p~rÞ£­§>ÿ¾>ú¡µh«¶[¼,^¶CΙ¢~û ÏüG[umŒý^ë Ž{:â/¼+ž|Wð±rfûÿ97ʹ ¶ÙPýPŽ— xû¬{¬'({ŸjÜÃôÞ¦àGâ+üƒÚæz¨‹Ôv³}êä‡ìd€xÁ±¼ÈÂJ$¿`^pŒ‘g_Û犜ÁÛÙObªr6e³ñcG¿õ‘gâ±ZMŽýiÄ-õ"×ÍT˱¬×õÔyÄJ:¡ò¹E¤é}ä,!ˆî­FÖNo<WÑgË3刺q,¢ê ØÝãúÎq¬¹«‡ä ­àçÝ?µ£>,ú~‹ØîÈÙRìÜsש¸ïm¤¦k´î³?i|~²VJLe8Rcö¸ú‡šxŸc›¬y¥Müg>íÿ›¨‘——ÕfK×$ßj‰>ëô^ÈžÔ*dÿ»óoüýSÝknÌtbçì_ Ebr×âñ7êêpêVâÕ¿C|¢ß"ùÇfß!õ\õzWÒÿ™¾‚ÔÅÇ°oÏuÉXÍ5“gsôFpËžz§Ü1¾i#úŒ¯–u9öטã‰ì‡$mûì˜z *÷çuÐ<Ö×Ô˜]‹4L´´éž•FT[×|ŽÈ4yg"O'=…쯶ÏFÚÞ½Ï!û k#¶¬ò¬AÛ–ºš;Ëñ8dÿèh$î±½v®ëy·¢Œ¶Drßö…)¿®! 9¶îì¨q‡á=ï#¹+®³—Ì·™^”Õ5Îw}õgä9ö÷kŒŽ™Grùö÷ ¹ccöY¯ë#ºœ{i¤þÚ gÓV#z½7²¯½®x;N4|ì Ï^ËŽïÉ—G,‚¯¶ö¡ÆÖ¿„9ýUûWÿ‹Nð!â#<€Ä^GŽÅËøe ú{DÿOAj¤]kaÌøÆ\$ö .›¨W_äÌ9ÇV¾Ÿÿ×VÛ#³Oœ¯ê†<;Áø½s;´_/!¹Ä®ÂW3Ñ3ÁQŸEr1c‘gj›ë‹Ô­¯ƒÄ3Žëc“nÎCd¯vgDòºaHMåí¤vźc¢¿MYlŒÊ:Ž¾Q]äù¯Æm>F|¢ÃùҮ؇#~dGµ³5ë®7RÔ ±!}4Ùßié¶øý¯‘ÜPjÖÓPäLòcâ×3Ƥö?¶woÄÓ§âú}Aô-Bò#‘˜}OF0=ç‘ê gí2/ñ‚©Þ›‹&Ž ÒØØÞ_!¹ævÈž›núíÈùž‘z·ëØÕ2b¼¥¹æÓñý;ˆüÙoí,ÚG#õdÖÙí‘Øõ äyßöõ8‡àƒ´—³Qy.ÚÃH¬ó˜¾·}œ ®‹~hj#u|MÑ=^;ö1þ Ñ?|¯FtæÀâz×XØçêˆìv¼G>7Õ[ëõ<²¯Ž÷ŽCM¾…sß±U”‰Õ¨‰ÃÙ^Kä9Ö¯ä1ɺ¾’ sneòã+Æÿ—!çI=Œà=üÿÿtïõ¼÷úuO_d\Û‰iœœ€È²é›ŒÔœ°Ý…¨©ózýŸ‘ç©Û†vMóHDW8!hç9×ô#ö¡J××CjCœwwŽk:*ë÷þòe|‚k§‚øÅïÎÇXžœ0¶ßÙ{GÐfŽÖø«º‡ö—úc¢®¥ÆuäÜ&Û|Osõ R{çuhÿ¯#¢z"ûoiU#±=Ûî€äÓ¬{ú"ñ}ßâú÷Ô>åßµmží»1òf¦¡Æöbs9žqH^º²¿ñM$Žb»œÿ]ÃH\MZéÇÑ×l†ÊsaØÿñ˜z·5’#á|PFö{q>žFe¾¢.b_ÉO‘³å«P‰…30CíñþVúÿÿ†è‰Zâ·1—ÞõàÛfÈø£‰îûÁLS7½;5±MÍ‘Zäªb>úŠ.¶û²'Œt¾ªöÛ!ÏåkXðÿ 䬡QÈ^È÷ÔîXëmDÇ™ÖÉâá㈮p¬ë\êpo­v:ªýW^j·=²Ç½>‚¾ŠìI©ÔAV‹êÀå¨Y¿\ÿ_ŠöÙÙ÷R/âµÝ‰ž@joìã<ƒÔAêVð‚}þQípÍtј¾GìÌ`ý?Y÷|¤qw´ûߨæz¿­þ]ØF˜W´9\s”{û{]ÔÏ$ÑÑQób Èþ±åÉ~®uyÙCüš‚*ó$O‹.óÌ9•Eâ%ç˜~Û(]ÿGñíèH ÂïÆ«ˆÍPÇ9þ²ïGúm·ê©?ÛWúÖÆ@£ÕGâ¹*ÍïãÚ¦|rÍ¿ƒ`àö¸¦c Cä†ö‚㱟jÄ30ÙƒÛٛḰ·x~ŸxûRõ ®!¿Ï÷DÎ^ê…Äþä[$ÿbW»éÝ1L#ä ƒÉ.1•Ï!Ï)«ÎïGò’¤aªú°]°­êŽä™† zÁñîSHMe5â•ù¢×›e¹ê‡è&òïiÄOpÌÞñ[ çô&ë¾)Ž}‘s ^BöUW!>Åkˆ/Ó[´7]ï!1ÄçÈÞoò`"r~ˆ}ñû‘ür‚+þFm;îê…øÞÎ¥”ù¸AjÛø/uƒeª;â«@žKey4ú8*Ï°ïÞ½˜—‘ˆÎuž¨'"÷=}Ž­HצsíÝšbç{ý»>¦ƒò¯zšûÈÆbº#µ¶Y£±vÇÁÃÅ1Èþ çÎ8÷‡œ‰ô¬~çç{2Pë׈ïG¾P'®Föî5Füuó¦ŸÚ¤¼ÕQÿãPWý9kÄ÷žG‚i6öØÉS•x‘k?z"5’-‘úòNÈž ÊósH‡u@¤v–c|AŸ©—í_¶GöVÓF4Ô÷E=í\‚ßÛíÚ§XŒ‘¯¶š_ÒHù£îlŽèVö5Zãf{®‹œfû=Hôò5©'îƒÄ]3ÔÞ#ûxÙ“ÙÙç3 y®B•úxY#ÖUÒSí7,æ¤îãõ£³¢¾@LôÖ˜ë«-ê¯Á¨ÔÛ%e,‘¼s¼ÎuŸåh<²ÉZ÷S·°Oæœî—ˆŒÙŸ·‰øj!{ßFˆÞ*dŸ·ñ¤þHnÕ8Sé;­ß_³C¨™ë¢Ñ8sµ®}N|s;äS ä\kÎÿ»È¦þ¼Ùgí\Q;+ã¶çØÜØÈ äÌ.¶ûîuciŒìÝkʽOlkb+&"X~?Tž½b^Fö¤²û”Ô)Oè:ëˆùþn_¿WÑÿXÄ–NEòÖ»¤¿¹Úz•ºŒ¯—‘óŽ8.ê±73>‡«Ý7‘óÈICWÕ6Çòkª ‚ðÚÏ|–㕮ŵômÚ!gÅt(®ï‰Ô¬:gιá\ÿ³è·cŸ­ ©+6-ƒÔ†ã]ÒÌ5Ü©å°0 Ñ›=lu òìmç8Ï!1R?ä<ÁÖŸªY4öò‚Ñ4F ØFø}xqŸýUÒ5‰…8®™ÈY”ë½WÎ/ýìz¨¬¹ë[ôÑO÷½ŽØd×u”tÙWÿÄ–qmµE°òé%d/$_/£òÙ`\w½Ä‹Q‰™6ÕõŽ8â“EïmVÌ“q²qÈ™¹Æúøÿ$ÿwȾû2ƖǪ½!j¯;RWa}rÍÄn*º9ö–ÈY`Ôõï Ïk°ß0Rc~ÑÔ÷ýˆ/ê\«Çi9í‡à‘Ží×QW}‡Ôgµ/?Aå8”AûïÏ#ë™rÒ ‰›ŒNCâ ÒZ<Âcs¾e‚Ùž ÷Ç‘smHÇ@$r>¤RKÜyþlsý>Bt}ÔtYN­ç¬ÿÉ#Î{cÕµbœ³†ºŸò÷-‚w|„èðF¨<“h ²–íS¶·ß{BÏpLm®BM,>H4?+^9§Æ15Cžʾ©ûˆE¶ÕXßÕøÙ®õƒuûçÜ¿¡ñ372ÑyÆ ??›!9}ûÙ¤rú¦x2Gãü‰Ù΋Hí.õÎ8µùRCð:"S”?®¯±úÞÙ?o?¿«Ú}QcmœeÚ_×ØÆõCòr=DÇHÍÛÈš¨-ž8îw¼I¾pÝOÙ€™ m£<Ów¢ ùBã~9Ë}P÷—aÌ0E÷õP ²æ˜‡ôSnêþ÷쫾®-mEm}o†`D–+ë{cõÔ¦õ“ýÇeȳ¦ì'ŒBâyÎñÄ:¶#šž={³Y¨«uÏ稙÷瑽¡m‘Úé÷‘g.ò7Ê8ã›.ÈóÈ)‹Öž/cªÕHìÔWôr-¼&žPvþW=W‹|¹'ÿµþ#âc[{ã¼<‹¬û`Ô7}½¯PãÓ‹úJcï,~[?ÕØ—7v~†4‹èŽ§òÆj$×[còúsL/äœ/¯kç)»«¯o‘œ)§ÎYßš:g˽×ÔÄo P³7žõ>ohœÆâ¹ni÷‡Îãq@⓾ȹ—¿ýUëÁÆH,ù}»u5ÎjÍMäl´ÑHMåy RËå§-’׫§þBr\¥mÁäŒMuÑ<ŒÔ1¿Fž5NºZ!5ýEÃKÈþöC~ÉÛVi#‚ìs²ogºœ§³N¨Bö·ñž¹zwM™ë8êˆÖöHO™ŽøCÆ { ¾i/ÑÓZ¼~ Álȇ§Ä“ ˆh?q8r6%±ú´Ÿ«ïÒûsúŸ:€~ÍgÈþ€·¿‹¿}WÌQRÝ•õ0öF£r_Êýâ[3Äf~‡Ôƒ8NŸ€`þÕHMê('ãµ½–‘øoˆ>7@žû·ˆ?ÊœÆ×ÞñgÄÿkÝ?Q4>¬{ØÖ‹jÏ1>ïµàoÝÿè=é¤1w r ï3Z•Ïà{ ©§µN®‹äœo‚ìµrŒÕÁù¢ìý ñu[#9‘vÈùtÔ¡Ô³P#k¤©¥Æ89ˆº˜6·žú£Ÿü4*Ÿ)3 9~‚Ækº6‚_û¶ÝµÚÉŸÛ.ÚvÚoƒàWo¢ÆŽ´)®õàwëò–ëÔøñ~nªþG!þ5ÛûÁf¡öG°sÇà®á2&L)›/k>gh<4o–ý.âµu?ß/z?ÑÜÙw~9Ø2ð,rÆ_/¤VÛ~9ÛxÙg[É×ÑûCȹV-?áyD¦z×;§úeѧ±Oë€Îš[Û×_!yß*ä¹¼Ÿë…úàETž!OÙ~ Ù{ÏÿŠ‡]Ôo?$梓Ž73<þ+jž±äºNšSãÁ­çÆ“_ϪcÕȹnýÅÊúµ=E×9ær~¯ ©ûoƒè®nâŸñ3ûÒƒc˜†HÍE9öß=ÞöâC[õÛIcÿ¿èÚ?Šÿcœû{EŸ›#¾Fûblø™rò9rî@WÑ@½mìÅc/uþ{HÓ2×U}[Ï’ÿ´å”WëÜ÷,ÓòH›O¬ã‘Ü y;ña>Dê{ê#8rGãø-‚ͳwÕN;$Nc¿Ìö>ÑÐ97¦ bÏ'¿dìÈXào‘g'‘Êýøb>í?+v®g$“?Äê t}Gñ[$a½2® }4wwÕoÆÞ"g×[ˆvÓÑ ©ý±ù *놩멟žÓ[!gE9/H~þ9òeÍ1?ÿ'Ôø&¤ëqÄ_k¢~Û#XmñXÄú@|}Ht?ˆœU­¹áÜr½[W85nÁ>©‡È÷Zä¹4Îé;v¨ƒÔÐEÎÿá}ƒ½×‰7+MŸ»ëÒú„øîØŠt?¢±ÕF0òài$çÚ©…ê­:Àw?²¥Úv^妮îi#>8§ÿ.R{õ²—Þ|pLîõ]bLŸêÅ{^mû­/;!gþ¾Žà/l߸å_únä]3ñ£ôË(+­Škÿ#¢#)ç¯"ϸz ‘ êÉ|}2‚½ØwˆìS²_Ô9gÅ~PgD¶Ü~‰);¦Û‹œ‘yŸø¤±·A0(ã8"ç(:®"½?"6Žÿ{ •g1.{Áw«‘œÏ ÑòRÍ6¸Æ¯Šß¶wû™¤Nƒäú!þ·ó˜œãƒ¨Ñ£u‘šý?‰¾?ŠGÎõDö┺º'âCQ_SW¿„à—¤ñIäÙ?¯ó^“5¶çì÷ïÔN7]W%žõÒ<~¢¶^ÕÜ-xø²Ú} Ó â½uK=õÕV|ú‰YŒ±Q.¾}ö×7³#¯)óÔ?”êõwõ€`~^ƒä!åèd“ÆynÖÉÓ“WÿŠ<Ð5 £‹ù =ÔôÝš ¹½¦ÅX]d:y¶·óœÆ5ìƒyMöBìR—âZë6ÇL–®ê3ʇ±(ÇaoˆV˾ó®c°Ðñ÷Ùï¯3 5œ·§}Ñ©gê\Ði;b»Þ É»·Õ˜Z y+ûYæACDÞÝÆ$oÿ¾®ç¼p¾…¥Õú/ˆ}äuŸ#õƒŠ>–"9ù*DVkkžœó`K;=IüyG×7V[œ{®c)–;ög „¯Ï=`Æ”üyK™Pc5öS…ø‡½Q™çíŒàÐŽ =¯“‘gnÛ¯¯FÍ9 Žº#g}T#u üü6b¿îCòn¥.²ÏÒ9;ôyýÖ©1þÙ×3¥ƒíÎÕÖPä\bçeþ¤ÿ¸~§ëÿÑ ì˸<Çø>¯ÚFSWC0wËycÛø¡øk€ŸGilô!)§¯ŠF~g®É¾Âµù"bíg×êä+&jžÖ!g<ÿ‚œûiÁ1¨ñøž¾Ú©oéY´Íß–ˆ¿[Q“â&!qÔ`$×õ²·®¿~{Eóôˆ^m3l;©ÛmKœïa¿›´M(®o¡y¨‹Ô·Fj&#çoT#ûá_P¿¶yŒïÇ#¸uÇô+$GaÚ1ðÝÿ‚;Á~i8ïÏq´CrÊQY›íºëHëìÆÈdç x½m#õRrŽÅ>oÝ×Á’Ù^×¢/û»M½ìà Úi¾,xÈuÆ5SÁPîC0x×Ìx­[7tAr ‘ØÚ´wCäÖŸ‡‰—çÈþöÈyc}ý1Ï"û¨š!ñ\?¤Î¿3²ÏÐ~«×œë|¼NþÙËd~NߟBüº®eëÚ­îÈÞÊH­ÄˆÝvüïøŽ|«…ØÍj$÷;±Çÿ‚Ô3yÍò}#bˆ'oóKÝkÿƒ÷sÍ·Aür×pŒŽÉܧqáÏŒÕö†íûø@/ËÐGj¿Q¶¿/xÓ‘cÏ)i%žMU¤ïWÈ^ ¶Eb,Å9IöeÿëTúŽ#QY{Ä÷ujs4‚ù{þ;è¶Âñ¨13ÏM]ýF[ð‚1Cj(²ßÞýr=¿Œì97ÖJìö T>ÛÎñÔÇHÎܲÐÙ+Ù]×p­þHíå8ÔèÀ‘Ès¤[ˆVë c}¼¦1*÷ 6½Åñ¢9y5²5PmFöWµj®Ø&}\ÖTü‘mۅƺßsÆõÀu̺´ß ó<É[zMsl‹`äe®â×CüªÆº¶‚eöDžÿÜBýx¼ôÉþ„ì7x©Óé)žÑ?wŽÊسåd ’/m¢¾CjÞ_AÖR]¤®Ô>¨sÀÔo#8[W]o»oœÛ8U?d_^?»ŒHËHn½‡®oˆÔÁ+¾4Ðx¯hŠèÎùë—ý.Òð Æ×yn⯑}t"y‚š ó”¿ÿ93ê~µCR ÑU#‘ZhÒ:Lüz©¿·®j™ÖõÆW[ gùk‚ÄÎôW?\O¶SŸß{Ý@ppŽi’þgì:AóÖF´›ê…Èp¤F¼q~ôÏzÿyþS3ÄOé‰Ô½5O[#~íñ‰íCæÝ9sÎñXdcŽË9ƒÈ~?ß_[ô4CÎÙ¯Ö“t}-$–SÐ[U|®Öõ}uOm£¾9Ì|Ê31úüd›hŒö/ísZ~›"¹m¯ÅáÈ!ló]µC=M{JýÑA|m¯ëZ ÏÒòº~y†‹Û"-ßhþ¾D0‡2gF¾þ Ñ]Ží ¨œYMûò„Æhÿr rvwK¤.}’xL~2þhˆøF%îÚÉ1Øþ8WY¥¶ŸCtScî+>ÖŸ‹‡½\b”ø3ÉÃU!õO¤Û~×yù&‚µPn¿BÎØnŽœ±ù²G„í¾ˆøòýuí›ÓP¤îÎ~íÇÈs~ØÆŸßÅ9uò~¼Æo`™5nD¾=†Ä›#ÿ¾:ï?‚ÔÅWéÅë˜Ûx9ó½9RkÊÏŒ—'sî³Ðçj‰Ô6MÖÿ_"2cÿè_‘KòÑy:Ë1CÎûTÄ7>Åxàwˆžé‚ì_èŠìƒõ˜ëk^ŸCÎD‹`Y#×þÓ¨ÜÐÑû¤½ZÿTÜçü¯›„èøˆmë…ÄqƒÔ÷½ñÔzÑMýº²ty1 hÓvƾÄ—»9o¢ ©ÙtÞå1D;ÿÊ—ãJë*ãMU&Ç~ÞÑÿŽÕG!Ïìì©ù›ìièª9ÞŒ<£Äx׿uç ½Öý=aòžÏ[˲mÊ2fn-è26ÿš>S¶ÿŒÄìëÄwo-ž–¾©×.ùþ ‚‹»öÉ: £ø6Z×ßcÛÔãok¬gsDw¶Dögzî«ç¿Úß­£þ†#uD}ƒ÷~†ÔÃÙ¶óê°aÈúàx¸f§Š¿Ô+ÍœáQÄy½ò®ÇÇïì#r]Û(š(;¯"õ§Ö\pÎ^F|à&H.y¸Ú¯£ùq]×XäÜLëcÎ!uæ'¢a"‚-êÆjß±z5jôâçˆ 3¯Z"x'_Žß›ëûƒˆ®t>²Äy9g㑳üúkìƪªº§—®%¿œ©FÎá\;§lš§ˆô;×Óëdð{ûUGýÙG¦û™ÏÚ¤>¶è¿—,¯ â vGêƒm³íws.¨ÛžEì5ûeŽò4D¿9OËù2®2HczÑ1 º{ë;¯íŒì›m„œ3Ó@íOQ¯ uè-Õç‡Èˆþˆßl,Ú˜÷zŸ€J?Ö¾ã0DO“ÞoPùì Áȹ.ã[QUÌ+?Snm+?FìBwTʉ׹q¡žê£!¢ï!çDÿï‰`þÎs= WËb~ÿJŸ'"Ïk.:ˆyCLtDb=ûÊÆòÃýٻ⸘´oýÔFÎÑu,A ø±ý‘g‡;>«ć õc\ûÓ™XõôõDj¨÷«OÆÆPãc=‚ìñõÖµõb»‘¾?YÌI+¤žw0’Wó¼qì¿GÎe'Cê,œ+{D|{BmQ?ZŒ¡âÔý÷kn#u\¬ 0ŽàØÜ~Ðó¢§ZsP9ëê5Ë£>ÿjäô òÌpþÿ.R›d|ß™2žõŸ‘øÌú‡÷}ŒÔ&ðõÿ-x;R×1T¿Gð@c ƒP‰5ZØvS®¾GÖò,¤~ÕkÓøø $ÇÑÁUÈ›Å'ò‹:¦‘øÑA<¦¬ÐÎQ·½ŽøЮ ]y9—äM$‡Ù©˜‡ž¢Ùãðú2.ú[doصcÌarößXÝû‰îçõãÔ×(µ×©ÅìƒìðÏËuö6*sÈ#:gû ƒì͸ÛÃÈ^éÿÙGPÆuÅ3¾CµBl"eé%Íûm€œ{ÙñM"~U]¤öÎØ ?w kœï#µä]4—Fdb&²×žÛcâÕŸQ™on‹ø™½ú;¶õ‚ñø·:ȹˆïsÖÁ«3Bì‡w@ööpþìszÍØFöëÞ&ê¿èù©÷™¡¶Úk®ƒä³÷“wƒ<7ƲÐ_×òº¥>ò$²ëˆë}ŽãõÍxpjÎËé/¾µT?Œ§¾Õx»">h_µGšh>û#ù¥Èó^ŸE|Ëž±fæF!çŽQÇ×؆:·RG}8ŸRÙgê<˜} Îs5jt8sÏ :¶3R[ø.²Oµb÷<¯¤É6Òc·OVÁýZ‰ØÇvö]Œ =øÆ£ôûãH}ý:c¡Í‹k)Oï#±Qs½?¬ñr³e?oi;"¹«jÄÇwlB¿’rðµøMŸ´òLœúˆ6Fo6Lí5[ þÇLùè…œRÆ©m*íÖïÅ[ç Ê<'ùNeߺ¿‚Ê8ÎëšòsVmrÑ–7EòY¶‹u4–ór‡#ØÈñÄ÷‘“çŸ[ö¼ÆF"~·e¹ñ[t|Ù ‰ƒmcú çö‘®Cû°Ž}¡¯øFgÕBt?Øpû­üÌ5BÙ ìNѽ€è5Ç;¿FöÑ¿GpRÒØ É×ìGr£Æ¯@dˆüýÈY¤w’w,Ç5G]G¹¢¯0¶fœµ>GpÙžÈ9 :¥gsqŒñ<#Ú½nœG‰Ô¿’—ôs«Õ¶ó¤äëSHœgŒ€óÑ©KþGäì½ÞE;ÎýQž¸†¦iÜUÈ^:Û!êËúq8rnh/ä¹Ý5ÆÍHžï3¿±FÙŸ®{ŸÐ\Z×Y¯Z–'£ò}ÎÙwAÎ dÛωWoë?¾?ŽØnëlÊ音©HÓß g¯²Iº–óBùàÜ·]µü±Á¡ìc;vè ÞÚŽp.Ç¢òLèoPÛôDÎGì‰äá»!²ÕG¼³ý°_3Pß©×ç#϶z9s‹c²OÉ6Æ!g½ð^ã}Ä/8ßï ÒßjŽìï%ÿhK™W¢.¥-qý€c¸©ÈþÛb~¦¬ï-‘Ú2ÛÖNˆOdŸ‚ïÌuŒP›ö3»‹–‘Hí债žë”2ê\çÀúÙ±íXåmÄ_lŒè­÷Eí mÑÿ„Ù©Büä)ˆÝí‚ÔW})šÏ÷<°½%¨Á:›#>`â~ç<ŽÇÄïHÝMä¹v÷î}  Rsi›ÒÙsõ(‚ñS}Xðô‹¯‹ÄhöSë"Ï«‹œÁh f„úî†än}–Vû-‘ç ²Ï<¡s{Ãuóö›;#òn_¯ZïœçwQ¹O¦Ä?-úäïµÕOû—ùMó·R ù׺¦Nq­mùF™á:®¯þš"{¢{#¹V¶;•õÕ/k^xõéx£1²/Õ¾ c£FÈóEš"öÒq)ïuí%ÿ£?IÛè¸Ã´kØþ‡êÿ¡‚6ڕϽS–é~HŒý*ŸÛ9H¼ |P¯篃JìÔº  ’÷¦ïD½áZ‹Ašcã…‹>Ç{ócÅœU#µc^³ÝŠy4Îg™pÌL=j¬/úECä\À4Í}ˆáHÖѬàs3ch†àÍ#4†WÜæ]$/Õ‘·ZHLôžú›‚ÔÏw™à–MEw¤¯ ñª‘s:ßGìQÄFÔCp™_sǾ¹Vß)x: Ù'áu˹ˆ<§›×MÔxÕúLÚï ´¥”•FHüÿžø½PmvDöü߇Ê\ß'ëýõÇ5Ðyvçç5Í ×°ã‹5|ªåXŒ×Câµ~º¯3r6 Ç`¬×>ÆsH½¡sÿlc=r^>¯}PcùÔÔŠÖVÛOkœ\[hQã×rNpÿcŠñ ¾m‹Ù}¯EsGd Û¡üÛ§±Nïªvùß(¤Î€mLGôLs½÷*úâ{Kõó‚YÐf¾Ø–ÿ-ÝËÏÎ; Eꬼúi>úˆ^ÊŒó…%&ìøÖ¸ ûÿÙ«Ãï}5¶eºï{[°Ía»¯!8ñ,û ®Ac›Ž?}/é§ۀطjµgÛÂÏû¼‡²H›d9z©á¼S†'ëZ®ÊÎB|{Î-e˲ûWEÛÎ_ØŸ¬Bâ:ʨsG®q8­ß$¿6‰§üýÿýÀ6)G”Êc'æj‹Žó3õñûoÕÞcês?´Fö¾7@ö‘yŽûhnß²ß!µ¬¤•rðâZV·j¼CD·ý)Òp¿è´þ0õ%Rc8R¼û\ï߈o\¯Ãó$h9'>Ø?eò-Ñò1¦hg®î¥ÉÝð¾‰H¼Ú©é6vÜ‘OÇð¤ëÿŒì;plbÛo|áMµ) âßc+Æ/Œo¹†÷#û^Ç‹ÿUH=bwñÈ1žkª:éºFÈ~/çK‰ö‰º~†ÆÕÑ=Ž…íòºÉc'ñ¸þ#oÿÔèöeÈÙÔs”1çp¼^É®ó¡jÏ<]¤ÿ;j äýuÚ¾g\éPõI?æ%įåëeDÿ¿«1×lÔÆôCò{\»#µ3m ãçyH-Ä $wéþlFŠ'¯éûhõw¿®çÚ!{Ç_E0ïqH_µ³ôh«¼®xí—ºö]Kº¹.èû­EM`ÿ“ö÷u}ï*Ö˜I[[äñ È9϶µmôݸERwGY°ÌÿOèš.H>˶¸5ò\Òï‘z§G‘ºú‰ˆÿÝÙ¯»щÃÛˆìòڨī‘Øß9ûí¤ÿÏȹ_]5oœÚç½ÆµÔO;Í×t]ó´ÆÁþ[!5H¤ƒrû8âóòEý3ÉOQFš#ú“kú#Äï6®7ÙÓÛ[}¼‚œŸg¼‚²ºÙK`<´ ‚}Ò7t­Ðý?Á¬{ 9wÒ6É/6Wÿœ‡ˆ^xчä ýàOzÀ/47íÄÓß ñH¤Ö–¶¾>rŽÛ˜Œ`üüšÞ×"¾Û¢}ú"¸B#ä|‹Aâq$÷áñwA΀i…J»Ýyþ/_Ô7“Šy‡ìImìçü#‚Q=†Êý6“Å_Ç 4öz!º6!6ÃzÜóS9ÇÎë„|t.Âù!òœúÏum›<†¯³ëDlâ*ñšÚŒÔS3&Ýß'#>ÐHä,Qã-¼ï$×Ñ9w¤Zã!¯Ÿ¹Þ,›Ž—¬/­+º!5s“‘³§ÙþÄN;®ôšm\ð©…èë+^V‹†!H}¡ˆ|Aróƒkî©eÿx´ÞGˆÖjdmOB|aÒø9jÖïpñ’´¬ÓX¦hܼæOH-4u ýWÇ°íÏsÁqwEj‰íSP:Ç=Xüè…ø¿¶m‘=Þ]t¯óW®+¦±¾†äiìOœkÎ=mòcÈÞ­MÈ9l]Å6È™ÐM³Ó«PYÃàuo;M{øÈsc\[â<½ëH8¯Ô?#˜›ó—‘ó%[éúH.ÄøònD7“Œè Ëñ äŒÇ溧±^cü¯77R^ˆ}=/úè'~„ìƒä=ë‰Çô¯ÞDÍ9ΛÛÿµ/L¹¥.›Uðј®ýÀ¾zMÕ5Ä»ïý:Ö}ýôÿñi â'zìc5vãAãø€óæzŒžÅ½žëOP¹ÿ¤r ¯ãüÛÇå{CD·Eåy>o Ïk‚`{C‘ØŠ}¾‹ìMS¼W‰Ï¶ünl¹Jóô²î'_šŠ×üíõïµõ¦þ³L Eö¼ŽÊ³¬¬Û?Dô{}¤v†cöZû¨—qÏ6H-ýÄ/à½\‡ôsè 2³^ª*ÆÞU4wDt¯ùGýþ°¾«®FjP=§'±¢F¢£ô1:"yý¶¢w„úá| Fö|‚<ÛÓòKl²’ƒã…ÔêtGòNÕºšî'ß-ËÖ^»ìãqDG!ûÿ'kžWŸuMmßäX(‡õ4_l{²OÛ¼!¯¾Bê&":‰zÇJ3ÍÉ«n9tÌñ­èåšr¼N9y ÁÌ u ­tÝ»âÏsz‘Êe-dom¤f˜¯ ¨¬M¢œ;&ï-þ7Uã5Oä¡óEìú¶½è| Ù·g;ë½~§[Šœ›dl(b[‹ãäU¢§6RoKžºþ¤ú®Í‘<Žå¦'»NB°ì×ô{c$ßÅkŸD¥lÙïi‚øâ/ Ç OÞÔ¼ò¿_ë#{'Ðg§Í$@]ñ!‚µ \ËÌÅþ‚š½5nÆÓœ{ÊÆM$×£Žø9?k æãa£²—Ø8ÉãHž¨;¢Ï)ŒP;æ“ñËÛt;4îÜC<™¬—cݺˆŒœ¹Ä±½¥{þ©?vÌË¢¯#r¶vwõw?RK¾tÐï_"ûòz!>éSˆ®#-ŒßÕ‹¼%>>«v¨‹ÞÓ˜DÎt°Î«VÛô›ê#ØÕ—êçä<éa¢i*Ϩ±j_©¶Út,ËX{rFmlS$§j›Õä/x4 ÉÝ6Ò5]‘:cwÔÉÆȃ1È¥:H} ÿ7øŸÕn6VlÌÛ˜åeÚìçî‰äÛ¦ 1 Û´%}Î/CpÐ:È>ûCÍ‘gÉðºÖú­-âÛÙ^;/nÕô’Ƨ5Þöâÿ‡HÍ\Wä¹}ô¹‚>­¹4?' uÎí>­1ò÷׊ù%îZ©1_µFp3~§½-©ë;ëý<Ä$C¼©íxGÄOhˆœËIziw­›Éb¼”ú?#Xlc$×fG}Q_ßýþÞWŠŠë¿V?í‘=,µ56ãÁäÍ“~Ñÿ„äÍ£75.öß Á78®Õooôò{µø÷R“û¥Úá:³ž®V[ôƒè{MEÎãã5´/”§ÑÈ9ýõ‘¼&y=Ù ï\,¯ý âÃ;.ÿâ'²oúÆ58Ä‚œáE¿™ëÛuW홎ÔÆÚoíÊ3ÃZ×ñº!FÕ;ùL»K™n†œ109ç×îCÎŽ´莜ÙÏ>6 ø-åx2*íyìئ'RÆñÙ/¨Bdú;äÙbý‘3-ÿÿŒýi”×u%îÀÀ$Q¢j HS$1C` D¼˜GD¼˜Gs`$àŠ¤,Q’%Ùô K¦åANgV¥Óv9Ó™Õ®ZµÜÙY™•µ*³VÚ•U½:{­òÊ®¬ªÕý§¹ýöÖþíªÕ?Þzï}ßýî=÷ÜsÏ=gŸsïÇëQm7´Ïj~¾Šœ¿7ˆ`8³îM,†spŸîQ¯}Õ8µã2^Óym7‚/6 ‚c°o ý˜]Ç‘öƒóáñ`b;;îÚ º·ª.Î5ãJg‘ ú¢¨ Û!Îhù°_o<¹Œìãø7ˆoÊ:ëõÿ·QYëm×òþü¯çŸÔ1‡’›c˜²Oú ²Oÿªè¦<®Ap>Òö*km.cPèøËóâ…í°y•9Ž¬î#ÇÛþÞ dãÕÙ§çxß~íq}×é÷‡¨È£}ÛÏ#¹’ Hü©\'¶¿É]AÎ&]œ•ó÷‘w³Žï|üùKTäóÖµ ˆ¾­U}­Zj8¯is½#þׇ͉ó·IëQd¯ñ4ûéöñ¤k>§rÛ<¹$ú£Ì| ± 짳Ï/©_§‘ügÛºµª×X—} ¯Qö'.#û!gQ}¾àjd-§~¡jÜÛ¶‡ó†ºõÌ»…zûØì&•/#¹Gkÿ »Pwm¡ìL¡­ñßqhÒG™¼«1\BÎ^±.B5žF?ÇþoŸÊ:¾T§~žOøÜ‚¾øKlÛ¹çôÜbWψÏ ïÃz ±¿Z9$úN k£õi§í÷9Õ{±•þ r–“m•N$nÌúë‘÷4󹕨~€1^£þXD|X甑}ç¤åm$æFZ·#yv!{!G‘uÃö©ín÷Ím±Þ¿Bæ¶ûo£Œäañþ¿"ÿ‹¸im@Îz"oì»C²œÍ#û@ûÅ>ÏùÔŒøs¢›2s\ÏX×ð¹_AbCöÿÿÙ§B™á\uìËúÅzdF4^BÖ¡~Ä7µ¯EýAĵó$r¦±ã"ä'íûH”§ýÈ>d–á2®Ãñûrž?¿ŽØ”7y2ŠÄ«{Tæ›·3ˆÜŸEü}ÖsI|­Al)ûÓüP.ž@üNò€~H ɵ²oLú?‡à›ŸÑ>ÅuñÇØÅV}{ñùЎìŸFð^~è¯Ú·´¯ÿH\úãq­áÜÿbŸSP·nGp"ãHn{³hã?ˆøÎGõÛ± ¯‹?Fe~QæßEÎM¶=¹Y<°ýkûœõ}yÿ—ÇdÙ£j;¢Œ`Õ¾wA×(»^wmk ©^ûþóEä\äa$wÁ±¶+È<úžþÓÆúˆn¯EtºÛOÏéeæ9µG>ý@}t¬aV¼¤ Óf4iÎÏ*$—ƒz`o¡ŸÔCÆ·Xæ*rÎ;‚ÏëÚnä\§ˆÍl}hå®õˆ—Ï þªó2ü0Ûp%ÕOYY«gè.S?-oä¥ó¨—¨¾)ú›ùx Ùf9à˜qÞ}Á²Q}–oYãgÌÝë…cþæ=ùòYälÒþkjóu$®5ŒjìíaäýO3ˆ¿Æþ¯FðœTdÈy!×ÿi‰u"vÁfd­d?¨ŒQÚÎἜDöw!ûîǽ͛»Öú–¿ÿÓ?¿…äu³¢nþ#ç*pL(cœÓ=ºÆoã¤oYÓÜ×Q$¿hQí]n">}'ª±íß@µ/ÏûÔwTçS½èØ„œ5&Zùášõ²hø#¡× ¶E™|áãÏ¿@ü7ë¦9ñk²~‘oÝj—eUÝä·ñºáÂØQ‡5¨Ž9Ûˆ?fûãkÈ9}g<‹)ä|Ü HÜ€ó†rIÝ=-^8g _4N#ñ`cϯŠ>ç5”5^»‘uù€è¡ÙØlcFý±œ±®'ǘƈÆösâá~$/ܶװÚ絓¢ßŽEó@|ûƒÈ»ãØæq$¦9#œrè¸Ê(;™Gõ¹ò¤…ssQtrѶ¨Cæò¤xͱ[_heé—>+ºøÜkˆ¼—å­‹moœ@ð^¶õÙçá¹<`.ŸCr@ö#yÐÿ YyÁñ ¶ÜqTç>nEöï1û'”³ñ³¨¿½–[¥~¸‰ìöc|t ±Eí÷“¶?âq¶<ÙßíEäë>²>ðþeµ3+ž9~`–ò1&:É—kH~Jrfí˜Ê?S ¹ŒÈÛ༻Šìaÿ¯P™Ÿœß–AÛ[Öµ¶C‰{x]@°yÇʬí#Œhlߟ4îÐXL©¯¬óµñ‡·?ÅÏI}ØçÚÕk<¹ ÁoÖéc›ÔkÙ«ºÖŽÌ#c°^ƒ‹ó¨\ø_BôË*dO²}ÒLÝL_n9»>€œ£iª¨+;‘<ßz]3~¹Eíò›2ý‚Ϩ޷‘X¯} 9«‡uRö§ÅsÛgŽZ—þ¾ÆÂ6Ï µÿr†½õX#òþ÷ú÷&r®Â‚þs]âúÀ¹ºU}p®„užçiZäâ×·ë_DÞwÚ†ÄÒfDG²¦6!çí8?ì,ªß̺¸¾žGl4ò¡9çu\}©ßÏ°ízBô5‹GýêŸßƒ`*up²Ï˺Í:ÂvÔ>µý¾Æ£YÇÛ‘X‰±‘+êëñܺ~9ór/r¾×½Ñƺ8÷n¨~cGÆ=H#åö²WßsÊy£È>Z¯Ól“rH}eÛ:ý³þZ…È=m‹â:ÑägñhÏÉadŸŸ[M¼FûÅv[#r†ÄäÝoªŽ‘svšUþ¢÷.ª½cȹößM-²„cð†x7Șc[ Óѹ‡¼;dHõÙ6.bJ\ßÊê?ioDEÖI÷•§ïØQï³êãZ]Eä׶ʈÆÚv õw ÙÛ=¨ºÕnI4rÌZ5®E'åi=× Ý‘xôˆøxyŸåàyÑ´„ìÛïQùeH®öfý¶Ýi󮞫­”iÛçC¢{Ùûݼçs²†óº}¦[È¾Ì $o¶Mu­Aòê·hlÚ\ä2‚ñCâììç È;Éý eó!ñ‚ÏRG´ ˜_­úq±Q½ž³}úß ®<ƒÌË3È{ìÖˆÏeÕG™‘Ï_C›û¨øty§òYý¾$úد{Èy³œóç5>ìÇ«/!g\vê-SÈ»TÈ“7÷—X¦¶«ŽÇ cZ+¾+›Ô˜¾¦gV!çJìGò„ËÈò-$¾Ék”§|Üz€ãµKüÚ…à‘eñä‚è@ðßâÿÕÂ8ÞBÞ•ËgfŧdŽ ¨/Ï"y7ó¦Ð‰èÑ3*»Ot/Gæ³×Hç!xÎõ٠ѸyßY“è mo?ßý» môª Û#öHë«ÈÙ’Ûyä\~s®œBÞ í8É%d^#sÿ¯!öùuÉ96¦b;Ô¿çQ-—?¨ÇM"ñ¦9älÈ~$3`ÍÈ~&Ò=­oÊé=Äÿš@æÀþBßDÃ{ˆ¼š_µªû’Ⱥ>*ÐB¹Ý¤2—ûß1ÖaÙ€ø§XÎEÕmÜsª„ì[®²G_e±UÇìÎ~åÛ±bÞ£}ö„êkDÎ> ÌÞRycËÅßeÈÞš­ÈYd¶SOéw3¢[ŠøÇï¨è¼&¾±Ï g?Ø8‡Ì/ÊÑFäÌ¿Óâ]½xµ]}ZŽÄqH?çÅN$wÉra?ÞØb²Ø7@ε¶~9—¥Q×» tÖŠO«‘ýn£âk«hæüX«zf›âˆÚ{¡@ÛYTãÎñ9^¸Fœ ïéFöe6 {žíÇð» ñOª½•¢Í:IJO9ø5ñ›4S®('5ÈÌMø›ù`¬Ç˜Å+碱þGEËuñlñGˆu- ù}Sˆâõ¢[ãyÁgüc±ÙŒk÷ˆ¯Æ›ÅŸR¡­IÄŸ¿ˆìµ0ny ÉÙç7uõôNµå5‰gÙÇ3~e½ï˜”q]c,ë 4¯™DÎ2ÑÿHn˜óCxú•ú„ë•ãS»=}9gÂv‹ç ã0Ö“È\èS]¾ï8ŒeŽ×¿¡çŽŠvã§ÍÈÞ3ëƳ&ßÄ&tã{Km°o—\‡º¡Aô®@âqŽ¥±/W‘wÖl,K»˜2{‰M³üJ=ÿ˜Æk«®7ŠÖµ\ãÂùwYûD¬Fö·Ô"yš–3cf“ˆ½´y÷Ê^ñdy/”뵟Ò)^˜fò¡­Ð÷ù*²ÿß¾K½¾'‘|b^»‰è4ÎÁ3VfßÚý0.Ñ"^’ß”³+Ⱦ4~Y{BcX§:w#¹,|–sõÏbÙ¯#s‡ß?AæÊ,ªßgø<²×Øó¸_´8~>.š6ê÷(²‡‚ó†úmQßÓˆ¾(´ÑŽœMdɶ’Ë Š? ú}Wã·±W‘½¢o!û‹8f\#ÿ•xëûUTâÏ¿¬ß?È—/‹þz$ÞØç%$çy'²Ïžt[Y^žÒ³–·gûæ¶øÊ{¿…œóÁö~ >ÒN>ZàÙKHüõW4Ž¨ßŽÙŸc³Ll‹8†ì›9¯6(o¶çl»×#{M>àÐl‡ó–2¾Vm°OcÊÁJý·g9Ú7ìcÙSD¹[BνõÚÊ~÷ÿ’ßËú_QŸËcô¯£}97¢è·ªÿDƒ±¶oÛô)$ÞÈ>\Rݦi°P¶„œal[Ööa+’[ñs¨èJû‰öGǬê=wCe6è¹W›Àmû·ñ@ÇY‡Eû§h³h<Ì'¯3ÝÈù| côìÇvd_ qвhpìÜ6'×÷¯ 94öK­+-›üÌŠ?‘µŠíDÎ'o¦ÅcÛdöùÊîÒˆØ'¶ ΈßÆLo"g–÷£ú\Å2’L~Øßa™cz­çùüIäÜîSÈY\]ˆíxÉI#/·"ï…7¦¶ ñ_Glÿq$§†tíAð”Ï#ûXΘ61–HÞ\’«Aš½æ´#ç1Õûªýûê|žs‡óm?’c¼SõGÞßÞŽà—"¸ŽmŸ6Dþçô!=Ï"óÔ˜éhBö}ºŽnÝÿ=}÷hL/«n>CYÞ‹è°1d¯H/´^²Œž- úUÔ‡—3ëU±Î>$² Þ—°>)š©'W÷©ž²ê´j¹yß?õ…ß”­ûÈ{CV">ð>d/lÑéǽԎ¼Ïǘh+ò.N¶}^õ<¡6™_µ$ú¨_¤—²? º?§ºl³xŽ•Tï=]' ”÷GóUÚU?cJ“H.Å xûMTæËÐ.¿…ê<(ûpÿ3’gïÜÛ+ƒÈ{g;–êx{;"ûôÍ5„¶åêEdÿ–ù˱¾øÅ»¨ö¯Øçãúý@´ÜPçDÊÓcȾ+êÆ^DBÞmûë’ç| ÁG9~³ÏåȾ6–£üM {´l²Ì:$ÆMù˜B⣈OsÈy£Kç ìBöòÙ§*#ö’çðˆê-#g]BpõQ}NðŒø÷*rÆ-ù8¤1ºŒä9-"rÏvYôN"ïkðºd ¦Œìå8.~t":°µp¿ ñ³ÈoÎŵHn9Ûþ r}гˆ0'=…ÈÈcÈž€ßE|ð͈Oçñ¶¿7¨q î¡PØÄ‹?–iBæÃsžFâá¦õcºkþBcz[u<-Z–;ر3Ö±OmDð^–u^”u1yyOuŸ@Þïâüϧ{ˆÀûë ÿyÿK¨Ø ¶Mm«m0ã ¨>÷)ñ¬ Ù³hÙ(ÐÜ£{[¹õºÎµÐ:qÙÛ2ˆêýjCâ+ùrYw7"˜ï9]ÿ!‚‰'»íóåý#ÈœëEÎ&èÖ½S~Þ¨>ìDp†õ±9cû9DV#@ðgË ŸãC›ä.òn‰¯"ûC?Ù„Ä/!s}×5>»9Çø}›øp YgYæ¨x2ƒœ×f»Îq‘ñêžxáÜ´HnŒ×ñk¢q+2ÖÛsó{‘³ Œ¹<­oú™O!˜5m$Ë*Çò5$og•>mzöKâ‹i¡ýOYür~ùÔ >FÖ2û„¤‹øÂäl?g[ Y?×ëÙÏ#ã_íÙÞ¼€äÂPÿPn‘÷§<@äÐø&¯Ï‹¿¨Æ9fö ý‰/÷ 6*?%ñ®Sü§LÎ"ïY£>·#縭BÖ1¯óÒ¬v¹.ŸZŽ¼““ý³ ÷]Ñ´Éé!ßêE Çì²–¾„ìEìV¶WÖý«†Ïúv Xÿ ž¡íóûˆŽsn’õü¸hãÊÒZõá!$?®q¡¯S‡äDÚ~öÒø1íˆM~ñËYç¿Fen,Ïí«±ŽMªgÁä8Ïž-¤ëø]µû$}™¯ãHî·u£yÀ¾<_è—?ÆŸlg²­_DrÞD°R÷‘õÍj,k‘˜i¢­Ñ€ŠÜœ×³}TÝ¢—¼X®#öãW;ä<2—øü7\0òš6ÅcHžO1–iÝɱ¦¾™Cl£q={ÑÔñ”¡6$¿óòž†QÁ#H¾¡é`':±§’úmla5‚[­½WUߧÄÇ$ÇL¤ygšqÇV$Æ5Žœ³rÙ9­úVkŒ¦Õ&×È)dì½î=…øÃßFÞWn>4‰c«æ3Û8 û¿ƒ`ó—ůdm\BpGÒKYÚŽàv§£È¹xÈ9¤ó¦Ê“þ-â£ñ¯KHì „Ä×ls8ÖÁû\—Ž«/ö=:­WõM zÉvé8rnuÈ?Qù•¦b=ÌëÏ {V#xá½=ÝâÅ7séìSÙ¿ø"r.›íß“¨ŽsÛ/!g S;mHì¿ŒÄÛlìFpÉNdoå6Ä'ç3Öç¼×ˆäøp|"¹ÔÇÕ/ÚV?Bp¾.ÃpÞIò.NûM”í¯âoâs—Õ¯&$/“}X*Ð\Fæ»õà¨ÊØg²^â¼° Iùº…øóˆ^åZZ‡œEtÉU™AÎÁãœùò^+Òý‚Æao¡nòȲ>¯>=*Zï«]ÖOY¹‚Äл‘sH_Câºæë”ú´ vס:×}zÉ¿µ¾h×ï ê+×!Ê,eûd=Yè¦qÕ¹CϽ‚ø„^¹žÐ‡|±}ŒÏ½¦þy^4"g8fE^_Óã½üØ'8Žì‡8‹ØwOª=ꌋjs…úzJã㘩±…Zß2lÌÅý™BòÞoœ)Œ™õªç’¿ÿÁ"ÿÑs­HüéÉBŸz c̲›ûß±#ã»öYÈ£ËÈÚU ¼¾I|W¶É)WœSö)Lÿ4’×R‹à[tý¢gûÅ£!ä]¶qùm\¤ÉÃë(<ç5i@´ÔŠ£¢kiÿÔ#çEZß‘w´á(õéSŸÖ#û{‘¯S'Ôyò'¨ØôMâãU$Ž\«k=ÈZâØS²OûÆ—¶Ë<²>…`PE{Êø³ãÇ#È9“SªÃsÚòèuÙq³!ÄvŽÛº‹ÊúÃ1¾Œèû2çÝO½yO}XMlÛqÈQTÛ,]H^Œ×&Û'ƒÈ^Š?Gl>Ú#´É©>BðÛ^þÖlCæÜjdŸ²í×]È~Wã ÷*Ô"û6=6ž›¶íóvÆgr¾Ä-älÊekʤèùäu¶KžP½§Uæ‹ÈûtYO[Ÿ¼‰áR6)ƒÔa‡‘®±šñîè™^dr§îFµÏ8†àX›Û}è×õF×ëGÞùö¹>ý…Ú9ä/–\Â:Ø9gDã"߶¥z cÓ`}äçßwiÛïEbœõª÷6’OIŸ‡kÑÄ'ør@ý \xNô zá›Èœ[ÐØXƽôÆ}Yìi¼&¨Ï[Ë.GÎ í?àD—‘œ(ÛsÓª³Á»<žŽÕðú=Õm;ÚrÂzžFõ9®'ý4Ææz‰9Y!ïðsÌÏ6Ö’ëT_C¶½ñ¬'ì;P6ëÛñ‹ÿBüg=¢‚ãþæó¿Uà_-²NÙ.}[ßlûÅÂs»\’}!V5¤ñ+úgìç:eå={Yï;ýF™{±ý9~_Aαv>À0²×‡|>¦ÿÆË(gDûr—× ã¼o#±ÔÚ¿åSŒ)óÙ#ïPïFÎzæówâ%Ľ!vø"ªýöa'²¿™ú¡ñ+çÌö™éXUh«±1Õ_û/¶‘óŒ‡U'm7Ú—ës;iKSöÿñŸ¦‘X‰±>ëÛ™ÃÈùTýH½ ÙËi½Ä{Æè¿]Fò gÂp쨇ÞBb)Æ`I×^ê§]H쪥ðìnÝ{ÁXÏJÑÖ€Äͳ#H¨çJÙGgÜ×£u询zO3ïO!± öã2wÍ—~ä\KHþèQD¼ƒŠîîFôûÿidoFÖµH¼Üúí·ÅÛ÷Åó·»Èk{=â£{  ºê‘<7Ö9¬#µÈ{h{ ýâç‚k°ƒHüå,’݇àÙ­ˆ}àõ6ÈsªÃ£ãÑ´}h·R¶—#{tÊȺfdŸÆÁ~FY¿‰ù\Ö8Û²ìSèût"ë'y´Y´¬CâsÆ;›ÿ|Æó»„ÄU«^DÅ.hF°@·½‘?cL-ÈÙA¶QÊâ‡íÇ<û m–4FÖÅEœ…´R‡ý’ž[Ô}¶á¸Ì¼ød!Œõ¹¾yºÑ ¶ýèŸ3`ÛœËö»m¿³¾{ˆïÅyqI}kFö­UýÔ©=Øö˜—a¹Z­¾Šêñ_AlÛ×ÔÏm^9&šKˆÎ3o#3†Ä;>{‰ RÖéU?{“ï³_EÿÕ±ý d~R~o#1`ö÷UD§tˆ_wtŸõõúÑŽœdûÑóûmñãöpaìk6îèøq·x~‰=žFl¦Id_HÆÏúÏzѺàf¥lÍWõ‡m·xÁ²u¢åSfDÞÿke½çħýH~ å…˜@Ÿxq©ÐǪŠã;ıXç]Do“žFµCÙ2îRBòÞ¦DÿÓjËö¡åÉ6×Qñßøß²gß¾³±û¨^K틼ÈÀUD>'Pí·xá7×ñ[ˆ­ê¸$Çÿ ?¿…Ä=æz@ímGÞ3íyf¼y¸ð}@´£5þÂycÿç¼Æç >ä Çœëß«â9ëù bórŽS™ƒâ%íà&ÝgýÿJ4ŸÔ‡m½Ø¹–árÂ_¡rÎôç}¼9ÿ—úö.eê!µÃuz“úЊÄÙ×¥—3‡5Nl{'r®¦}±AõÁ¸Ž±ÿIÄFÖ˜+Ð÷‚Õ òÈò”£u*glî|alù™ó§Å+¯Õƪ«lrVËy-h@ò“ƒ‘Ç¢Yÿ‚+OèYc}Èù#ÔëeäÌAÞ§lRq~¿‡ÊøÛ@°Øqñí¾Æçræ4é¦ìÐ^¦ü¾…à€|æ›ÒEÔ£ {†Å3þfœï§þ*rJ:9ç½&t"9ăH~ëû1‚!•Øð˨¬K”Ï9üLÖìCÞ ñSD;oç¶úoÛ­9ÓážÆ§Ál«³ŸR}”ÅŸh<º í4!qKëâvñçU u0uLJ¨Øÿ‹ì)䳌1þªÏé®Eö®Er‚®"{ضízÎ!ê£ýÿhÚ€äj~ÑCg‘}§çõ‚x’}OãŽ÷Õwû2]Hý—ëȺG9W]·}Æ0©&ÅÊØÄ·ðšoœ‚å8ößFr>;ìÓv¯c0ü¾©k”'ÊL+ò®Yãü4ª¯%Tbö“ìïO©—Uç"6›ç茞ÿ´úK¿k·~wkl9®´£ˆïZÇÝ­¿ƒø'ÎÑEäìš2‚›Øã˜îÒïõ¢•×ˆÓq½¤r9käª^óɾ2u/e¥Ém{ ™Óœ[´{‹Ž©NŽõŸ!s•}p¼‘üpüí5$N}Y<´Þæ| Œsm(Æ`w!vØâ[O#ùaäÓS¨Æ²º›u9ƒóÖë‰}·rçí¢Éï-!c\FÎ:»ì‹ëÔ‡ëc–öómË•iyà0’c]؆ح”SÎ{Û²eOíEìH¶[/Oj<ïªü9Äçd™kâË5d³­t Õg¦žC°(ã9¼ÿ‚§ŒˆomŽâ¾2Æc¦ ÿo`¼…ü7†ÝR#ÎAÊÊjË|Aöcw¨]cúä[#’+Ìÿ´y^ÿ=^ojlW!¸i¢îümñô‘XØK*7‹ÄiÈSÇB؇/!çSÿg¢ï”Ú£.å|¼­2ßAbƒÆP‘üïA$vÍ6©¿96#òùiñÈØR‹úÌqãÚ· É›µ]r Éõ î£þ0v¹ ÉOkU›PýÞè²Úáÿz}³Žý9ƒäÔ‘æd¦óÆÕéº(,÷Ž·z=¶ž ÿÿÄoÝo©o´u©£–DÇ/¨ÖAåBÿÜŸR.Çxí¢¯Œßt‹^+ì÷»mc•µ…±´Î?QèŸ1–îyíµ·±-¦|‰´qžS_N#y€ÆÍ;Ó_IJ¼NGôáY¯°O?­ëïè{9rÎ#ãL[‘sNŒo+ŒQ›žq­sËÈo!¸ï r^Ûä|0¶MõÛ*Clà "³âC ¢;ÅcM%ñk9²Ç꾞wLÕ¶ue‹~“søœc]Ô#^÷ßTý,^×jÌ^G乄ªÜí¿îëo¢2W_Cl6ó„uEâç»3#¾‡à§Äk¹NìEÅ<"ž­Õÿ³âÃ&ÕÃï“Æ2¦g¹þ?¤~ücTæð¬êø¯?þüKÕý¿#ï¥>‚èxËŒçq‹Æ˶ÅßGÅ'_¬{9~EõêU$.3ƒøÑÖõýê»åÛºŠüÚ ûW‘¦ÛNì˜Ø¤ž§ÜÓ¦¢ü>¥ñù•±×~$Zž=Æô òìy¿$Þp 9œ;Äþv‹¯#ÆcÅ+ë•doˆ16~7#X…óŒl‡¬CâżfGº¨/kP}æövdmCÞcWFö¡m+ð¾ÁMkUö£-ö±×#ï¹`Ÿ÷!ù³íˆ¼r-˜GæI¾9v´Cb~|vQ}¹]¨‡ãeDÎæ3ÖäurY7½îØn÷¼Þ ~[O8¶aŒ¬sõÈ» 9€£*cL˜üû:‚KœÓó'E yr y'Ô }Ó'{ÁI¬çLGÑ>,!ïNáµ9ǹŒäFÞÖRèãQÕa¿j‰{Ù&ñÿ#È™{§ò\¶íïXÇ5ä̼‰BùëH7ùý4²>±ì_ ö ˯EòM‘3^E|õ‘yKZ‚Ä,O"öñ>äÀ›?P™Wx÷ÛÈù1 Hܬ‰UÒæýH^ÃYä…·<cÔsú¿LÏ·¶I†~‡í%ÞkD䲉3R?PÎn"òÔ«>ÚV]¥~‘o”ñKÈÿ s¥_ôöjܨëì‹pM ÜLê+!ù.Ïå'çÃدô˜[GÔ«Nòá ’cø‚:6¾‰•ò÷}ñ¬É‘èGõùþîU¹[È™.gÜÿ ·óŒy~Òþ½‡ìT›ãÈ~òÁk ë߀œÑDþÛWáý3jÏxH1F:¡ñ°¾ÉOÛ†øŽ¬û‚“–LÈxˆ}Ä…`yÆom§Ó^ù¢a«ž3í±]‡` –ÊØÃHn„彤1tœÄ˜ec³øëX½íìÈ9½È>!¯ý¤¹Yuv ï#8‚Ä｜@õY®e$în,’ãÚ r«ßk™8‰œwNÙßS¨Ïë‘íoŽ%ç‚mÕű#6[Œ÷ø9ËA 9Ç|0¾8ì'œGæ­ó-xzá×XåeµkýCa ²gÐö=ï_AÞh_ï¸x2ƒœåí1B°™VÄÖíBÎnsìÀ¸*ëþwHî(Çe/r–ç¡ãŒÆXÏFñj“¦þ{±sìñ×w gï;nvDuœP{ŽÅΩ¾QÍ =c»—åm7{œ8ÞŸBÞAwÉ;9‹œUÛ§¾.¨w3ÄJˆ=7Uh»„ärÜʨÈ=q†kêëoŠ6Îß1õ§Áµ÷ª×Bú û‘3`yï/‘sÊcjÒ½çñéóÈ9*ÛÅŸVäl¥gPñÏO!XkÙ/ ˜kÍ.使¯©ŒñWÇÁ†Õûµš_Dõ¾¶E™æÿ¬ÊÜÒ³ŽÕ 3Næ6v {KÜÖoŠçœçÜ×¾²ídçR}Uí\@ä‘}Þ†œsÒ„œK´Mý%/g‘³rÚ‘ü˜óú}Á¹|; çÂSÈ{¾ØäüÄ5ˆ¼s¶î/!þ›ñLû$óFvQu¯@°Ög5Nü¿±0Ƥ§9cÆ8ÃJµÕ&~8–N_µUôR.©/3ªw¯îC|ä'åsƤÙÏEDg°ÝÓjksÒe\ˆ:ðqTdñ¨è)úȼ~ÙSyñIYv‚Ùï8‚`GȾKç‘ØÇ3¹Ž^?_R¹2‚ö!~èjÕÅïiãsH~ê!Õ±ŸÛ‘÷.ìCöBsžEÎóè@|ÂäL®›ÿ‚ž7í–™Uˆ¾žD΃'ž²­0&¼ö bß,GrM¬kŒ“žöx ybó,fûóâÅEä:Ã…²¶Åî :î¢ÊÈþû¥|ÎØë(rö6×îETôç㣾kœ¶,Ú¬ÿ)§÷Ô†m9¶{ÙÊrW‘8šciη¡Î\¦ú›_e9‹g2‘sDŒ÷p½ŠØƒÆn©ãh_|Ñ‹%ä̘²úO:hGâÆÌ<çÆW’×æW,„òí¹Éyv±ûÛÅû_ŸEr#Ú»Ü1HÎγµÁû»ÄGê©!dÏÂ<‚Ý/¢ÚF]…œ쵌kÐ ää%ƒmÓØô!óÛ²Ü^¸Ö¥z÷êÙzdýk@EngüÐ:ñØxZ±¿ŸFÎå!ÿ8ÿU—}b¯«¤kZcÇzlÏ’Ææß…ý§ExÕöŒçë_@â$#È™Qí/9ÎuB¼ZÒxؾp}Câ/çìE$´^׌ z­åï&ñ‘ü>%~S( ž‹gPíÁw‘sÒÅ ^ÿyñÍ~iæºëx”× óm ±AYŽ¶e3r˜ñÇQ™ƒ=Èyº+ăg‘ØF7²ve YûL›ùí5‰ró¦ø±Ù pÉ…bùGÅË]jßx&ÛÙT¨«±Yþ$¢sŸÐ17¶qñYÍ—q$ÆzžDò4¼†r/‰ÏäY‹Úg·#xI ÙÍùôrÎ:ïÙ÷hFâG÷‘Ø·P‘dzˆÍRFòíë½ÆÎú‘œ~Þ¿‰øÆŽ ”½ž|vI}Y‰ä‘ˆÆË3åt5ræ„ýÊ5È™÷Ž=—¿â´x4 >´‹.¯;«Å¿’h>‚äºÚ_«CÎœ>Ø«Ûýó,ã ljrÙ„œ¥jœÄºÛkZ ’o½‘ƒ[Hþ€ïèhBâœgÊäÿÚ‘ü˸?|nÙ#\‹ì7³a[¹ y!ËnP¿,K}ºfûl-bç(#¹¶©k¹]×ر®Íúx6#q±z•7¶Ì±u<¢]ê”-zÎñBÇ ¨ï¶#8ýÄ—±ÏwNe_@r‹){Ç™Ù_?ã-È»¡8g©W ÏãbÓˆ ÅkDÛµ¿ˆØZmHÞ”±ìW™Žór$npRtØv¼„Ì9Ûg^{÷©®NñŸõ´"gÙžàÚpÁ¿9_8'žS}´ó8&Žmß)ôw9ß{"+‹jŸ²ÿˆê8‚ê=¨œ j\V#~ÿ¸ÚGò9<>³¨>7Êë}•µ ÑSH^c—Æà1ý>&ZWƉ:†öÏ+¿£²ä•mEËÀÇú¸FvQ Ûã¼iTYêàýúO¬OGs{Š7´A¨÷§Eãjƒ}v®—ýþÝHžTY}Ü€ø˜ÃÈ»xÖ!ñ ÕÓ“ˆ`ç#TÎ_`yË×Eñç-Äâç²g¯É·)#9”7ÛÌ‹È9v]¨~ÿ¶mÀd?gÑß^@|*¯™]ª¿Óó}ûš–ÏEOšVߦĶóû³„ãó5TìnûK}Hþýr¦.ùà5«$ž»ïìWƳÉW?‹Œ9û5¯ñýõˆMµ Õç¥8Þ<¦û”)Ú0ç í¨]ûÒÆü[‘<ˆ²¾ö‹Æ!d$ij@öXô ïÓáoÛ•›EÇ/¨?3ÖIÙ£/öO?þü?þüTb¶ý&Õgæ!QÏ6!ñv~ÿªÏCòà[>ìSžUÝäÇñqÉá_‡ÈãrO¨îñŽs´?;o¿fµh,Ú˜üý¤øO{ð#™BòÿFUß õ×iBõÞªõm—êv߸î\TÝO 9ëö9FDÛ“…¾zý¶ÝYRŸï!ùý¤cNÏ7è¥.ø=ѺIev¨Í‡D½w[u“ÏË‘f’Ë3¦±ñ}Û’ü|ˆä°Ï— <£ 9#Á<|•\Ǿê÷pô!¸þq$'€c»Cü².÷zȺ'ؤv;ý–Hî‡çÉ2oÐØ5 kR·Æ¤‰eÍ :‹sâ ijnlº_c3‰øΣ§ÕÇãÈ^+¶·ÉK›AÎÍÛˆìg;«U¶Ùs}Á±z‘\•D6JÈ>†NÄ.œCâp·Eð×£È|ëGðÇ1-/Ž ïaùAT磕 Ö³Áð»¯E}9ä;\@ÖGcmû^®:/Ú³Íg»`@×÷ŠÆ&õÃóš|zÉï@rœz íð™µú4"6y{Uõ_.ú}Æ:ìsÛ&nGòÈ8Ç)ï¨-Û>ö19”ߧDßYÑÁ1[¯gÿJu_Br·I¿±hÖwJm¿¶-ñgÈûÑy\8îÏj¬ì‹*ô¥¯PŸe¥¤v97hœCrˆÞEpVû\¯¿ŽÄ¼( ”)ûÉüLjœH#åÿr¦ Û£¬¼ìŸD0òK*ã>Ù.µMÂûÆ=,ÃgœŽÁ×1®m¼Â¹Ã…ë7sœãÀë'xS4^Gòm½&/ClÌQä½KóÈ~rûXÈ®ãÈY„W{a27ÉÕWãI¶Ñç¿u\c1ŠÌ‡ȹ-È9ÓËýklX#uÃ"*²° Yl+ÛN¶=aŸ«µðmÌú"²~v!x=ë(‹Öo û{úQ}.Í<‚A/ z“s‡kH*s`£>kô¹ªzétˆ¯ä£cË'½µ–/Žû€øù2²Æ8èué,²&õ#kzÁ¸È›7w\}ìËüµÌFÎ~1nh¼Á“¸Šê=°o çñØŽvü¯„Øû.o:‹¸„mjþ¯ArK&‘<õZ$gDü¡±?ù¬x¸Ù·9‡êóªÎêócdÛy±sLû@y1îú@}z]}½%ÚìS™÷7ÄïHî¦};Ê×êf$çØ1‰MHÎŒõçyµû"ònIŽƒãmöcú‘÷?–ý_‡ØSȾTë±.Dæ ôðc¼ÆxW£ê0¶z¿pï"²ç‚ÊZ×±núzõȹYÝj÷1=ßjûÿd ´MÅëùgÝm¨Þ³È¶¯i<¿\t¯Ar½¨k:UÆvéõ¡Õ9™‘|B믇l¿$ÞÐ6Ù%>Òïz‰gÚ&âX[N½¾oR‹ù1äÙo"zì´Æ“ts¾"žu gwÍ«Ÿlï.2w—ÔÞ-$®Äÿˆ¼¶¤òGTW²ßaR÷h_ü•3;(뜃ÆrÏ¡:®QFöY°îíHnY#’7·€œ-ÝQöõáB}ý¢ëï ržÅï‰_žlƒXß þ,ç™}iÏÕ:d\ÿ)#:êûHðw³]¼FOTYc»aÛÇëcâR®Ÿ¨‹6!zƒ´^@ÞYIù܉Äz9AÞ6 g*|I÷žPý´õÞ+ôÓ:‹2eyf¹äloc´S¢yÙcÆþÜ_:‘¸§õü)älØ~õíý—ˆ~b[ô /‹ÏÔ!¶:~f<Ó>–±€b|ª,Þ/¡:·gN¿yí6?೟Q;ÿÙÇÕŒäY9ž1¬g=¦#Ⱥ9èsêž6D^mÿØ–X@puÒl{œöË?CöÈ”÷O‹ê­W‘¼©~D÷Ø÷sìcV¼¸…Ä©¼&«ÃÏÎÖþYnï$®â¸d7²_ô"²×˹"–SêVê=ª“Ÿ}ˆÌYÞÙ΋H쩉M§à\ ü,"¹Ò¤ç *‰]ðú$O‰<þta—ÔÞ>ñøf¯ÿSj§¤{7Å'ûÙ§E×;®ÇWÕ.uãËÈœvò!G³œn@r Dß²ç¥ Ñí^7 þ6øJ(ôG©ãhÃ}Qü%_—1ʺ/#ó’ãmÌdx°Eõ²?ßÕs”³õ¢Óºi ™s=ÈyÈÓú&Ÿì/©?sCô@ôcRä×Òø d¾Žˆ·µâû6d=4þ|TuÜ@p²VÑ÷’ÃsV×!ï£C,‘2ÍùmߘÉ·ei#‚¹l@æ€ñÄV$?‰÷æ‘xÆˈýwEtôküØ·­jó%µÉgþ¥¾‹¶Ç0’³j?Õ>¬×…YTÇ›œ¥Œà.O º©Ocy¥Ð—…Š™BrØØîט×gão¦‹<ù dO%鸀œ7>®~8ö¾±©QÖ#ø‡cJ³Tø½ˆøÉKÇ"÷höZ;øoŽØçõ{ˆŽ[†ê}Ǧ>\BΆžFò¥z,Ò²Äq6®8 ~¼Ž`eÿUHîË,Œr݈ìOáZx[möˆ~γI$iLÿç_Úò~/qLöŠêäó¶s‡‘Xv‹ÊÙ'Eì$ίäסk,G_jÜ”}§l­Fr¤FÅWòq¶@‹u¿±§{êÇ“¢ó.*kŠù_Ľl猩=ÒÕ(^íÓ§Síz}.#çRŒ g‡ë5þ<ˆÄaïéúëˆq 9³Õöçed¿À9$¯¢ImrM{9kÞq6ö¡Nu\B°ß£žÍ‰žaµC_•óæ€~³nÇGHg‹ž}ÉÙéCæ;1·Uˆ½@ø¬îs~]Ðx˜cyÝâ]ÊO‰ÿÅ·—ôq^ÍZ=ËñX¡ßü<@â\µÈ™Æ%õ•ëçÅ]$fäx]1ž>‹Ì=ÓÒ¼¯ðŒh¶,œTÇÄ_ŽÏÈÆ}øÌ?AEr¼Ê¨¬Û#9»ý|?TŽñô!ñµ%=߀ø»¡"#çÐF0ä-…±±ßìøz¿îÑn¢^úP‘ÿaÕÃ5í-Õcÿ¡„Ø CâÛVäŒRòeAõþ™þ3ízÌG¯¿—³£Z‘’i=¿„œOÓ`tüýªè-#øí=3Šè¸IÑιM¹uìÑú³GÏÓ·!^°ÁŸÈ÷¯êþ1ä}‚o‰?o¨ŽdÍ_‰¬ÛÆG<'Gµ^´¾·žb]Tþû>;Q‘M>û’Ê°o-ˆÏdì–²blÓs‘kœc˜'‘ý¼Ge iy_šã¶ÆCgónËâéAGa¶è¾1ÿ‹¶áµðGÏCû‡¤é¼x<€œÉº^|¦ìîBr§s° Û¯ïç åû”ú²Ù_M_¸‰»2vZ¼³štXת¿Wuvuúø³øÞYÄ_$½ë‘Ü)Ï7ò¿Y'mÏÒ¾÷\9…äˆñûS¨ÈékCbBl²ô*2ñ4*6YŸÚþ_>æÿã*·Zíœ@òÏ#y­¼g›Ák‰yÃï:T¿¯ƒtý*çáŒ#ï'ãýÈuž ªÃXä(‚QR^)‡·ôÌQ$'„¼Sẗÿ ÈÖŽO§½‰ìÜ€Ä9XŽúÄø°qÑZñã²q•®ýÉŸ»¬ú]äï7QÑ#eñærŽÈZÉFÑpY“K¢qQÿiÓM ˜é ÊŽ¢:î;ŠÄYXþ]Õ}Z}µ_I9¥}°GåŒýPG´"þ*i°}؃àØÓÈ(ìÿñ¥Vÿ 1½ú>¨±¹)ZØv¢7 ë©ýxÛC”%Êè ä 3û³ý…ßæÍ@¯¯"ó͘¯qdÇÔ)ç ˆ}o=f,qÉO± êÿ»…~;nÆñ{ ›Òsä”x¹K¼V›?VûSˆÝeÆvm-rÎV­î×!gªù¾¯m/ü®+üæg5ªó©k?ñ|Ý'ž-Þ§,׈·ü¿¾À#Ž÷<ªÏö/®ªß¼ö ß/÷"¶!å“rAý;-¾îÓ³×õ²'’mîGp7ëàSÈüàó[}ø/ ïêÜ„œ k›©[ýû‚)Û.àüæÜý:âïsÌ9ÿíG3ú*’Ëm쵤gœЉà*öF‘½/³È~­q•·¸¨ö¶!¹ž¨¼é'½OêcÌ€í® s¨ÞïÈñÜŠìaàõ¢ßz󜮋ôÜšŸŒ§:/â‚Q0NøŸ¶½1ŽÄÃÏ«¾·‘s˜æ‘÷»;Gƒ´<†èvëþ~9ªÉözÞƒœ}SFüLÒêu„mÖ¨=ë£qäÌÕ>$Ö̾6ê÷%$iXe½¾©­Z•Ðx4ÆÀ±Ÿ+È:ëX²×û~d…ÇÓrâ¸ç â_9fñ˜Ê³êdÊE‹hº`V,C›k‚ËÝ-ô²wÉó³Í2ÈÓ1Äÿ{Á7xksË\f¢ë:‘\ÖEdߦíï=jë ¶׎àkŽ+·¿Œêó(+Eûû*Cl¸Éò¾ä«Èû‚ì«L!ïxú_‘3£¹V[tágxYͳÅyÂùeLÎXß}–=¤óºêayc Ž¿ö"±ûŃH^Žãº%d½¼[ ‘ôØf`ßn gÏšoÖÓkóx³‰ ;Ö»„àŒ#â;í êÚ­Æ>‡Øö|ÉOqœÄãJ_pý'úñ漳ì®?=ÏÇ‘s9¬ßYסÃúØïp,äa$çÜØב¿‹ŠŸ¸±Ð&˵ˆwÆH§ã(ûT†þˆm^『»¿"þ¢ýü’xH½Ê9K=uÁLnª¿+ |éCõ;Jê×]ñ»‘‘;âÏñýö½¦5vŽu\P{Ž¿×Æa%2ÿY× òžåˆÍEùÙ‰¬ÙŽ{ž×÷jd¾]EÞùeü°™ öÅn!2g„òAÙ«EÎr»Ï«O—‘\ö+jó²ïôP=ÿ{ù²-ã8…ç¾×ËNÁni#PÎÏ ¾Px¾ÉDÎÎë`{ âÝñ¿8&Î+lFÖ‘ÝnÅ1ç~]ï©ýÍ«¢‹úᢞ#ýmâé«qµ¿B¾ÿYkȳ%Dž¶èžqÇ$¹fã3_ûŗÆ8–±•[È>òQ=ÇþrþRF9îÔÉÓȹ@öÃÝ–ã²ëDŸýFÒLYØ€èUÇsX¾^e!g]l_úy·yµ×»2²Çu ÑÝK^豜FÎǽ‚øÞ¶ ŸÑµ§ ´uêl.ŒSIe›tùÌœGœûÄÛ¨Žƒ•³XN#ùfä÷/!9Ï,ϹF»é¤Ú°?Ö†œß7¥kGÙpìñaoìT½+|yòðªcå;‘3\ȧ3jk#‚OÇ /è÷rÄï ý`PBdÍ}5Ï1~yߥuM"ëöWÏ©ßlë&²ßÐ>åZd? ç˜×Ó먎ŸS¿ŒsmñšÞŽÄ×ÈoÊ"ež2@ð5Ä—<¥kìË"bûPÞ·Š_O©]ÚAˆ]Í:Ö¨¼õR»î³Ü}ÄÞhÒ­GΩ(¾Ùß:$7¦ŒØ2ËýðêÊ5ÇýrFŽÇu9‡Ík÷#Èû<,ÿW‘¹Û¯ñaÛôãmØw9Tès’¿W«1°œñÞ$ÿ²É5Î:ÍëéTŸAÈk_GÞ—Mžì@u,mÉ•=Žœ5iY]†Ø}êóä}À^ëW!XÇ*ñëËH.ºãÖ+·Q³Á–Û‘ü!ÛæÄŠ&=õeä¼;¯ü¾©6(_Sú6»ÁþêÒö_ó…´pnu"º–eZÝpV¼±K]@<”rõYõë.²ŸíÖd;‚4Q×Sæó²ý9œÉè˜ÇYäl ÊòsÈû:Ø÷í¨ÎvÌÐ>äJµ{©P¯×¤ß@Å~€ä†Ø.iWÙÇUi>X#ÒIÝ:†ø‘îç¢úí¸åb+znõ 8¹1Ö$–݇ìÑ;j¼ˆýù‰xцä¡:æt É塃ت¶Ó k,·©~Ñ¿Q<¦írH×× ¾^­ú~J÷¨ƒŒ#Ûw}‰]ylˆ!7©^Ú˜ßP_žT»[Äýúþªžñy®£/û䧣ð{Õ'þ{Ž¶#ºkUáþ’»`ûÁqVÇ£¨G°$ò~“hÝ‚¼‹šëÌ:$çÎzx5b‡ó·ñÛ¼w_¼±Ï_BäÆåšQýŽIÞÿ;ˆÇ˜ðÄëDö=¦úç ˆtnÖR¦Ž"óqÑýœKÆiíŸÔ q‡ µÃùBÝò®hÚ'>óÎ)ê)¯ÁÖ-¶÷Š—æï ®QU×qäÊ‘sM?GulÈù7¼¿¨gY?mÊ¿×-Ê'±Š&ñæeÕñTFëfû»k<ÌQÑæxe™ãÔÓGw>Rnv"ç2Ûïº-q¬ŒíÓxÞBöÀ²MÏ1ÎycIg‘³Z'Ôö"²ŸÃøåyäü ×c›ËsƒÏ<©ñ]£ïßÇô¡¬?@l†^Äo%o_}Æ{ì7“NÎoã•¿…ŠO2$~p¦‘³ˆ; |*Ƶ¨ãê5VÆø¬wxo©ðÿ[…뿀đ!Ｚ-~ñ:eôç=:„Ø6^‹©C9æ”ÙyÝc® «O¬óÈ»¨#›LŽíÞCönyœ8i×pŽS7AÖ0¶yRÿo!±¦6 Grl+Ý ^;; ý;‡ä==«1³ÿÀ:ÿHuÜ-ëìnÓ[ƒÌ=ŽçÃñÙ´œÓ ¨Þ—sH|lTù6Ýs¿n!çÊ 9Û›u8Ö~É£½ñ¢øw9ã˜ÚbyêçÕObJ¶åIëÝ??‡ä. ²n[Åö¤çQ'rv5ÇϾþâ§,!Ø”ãÔ´_¾Uà¹×¨HŒÑ˜5yѬç¦E;eï¦øÏÿßFe>·‰Þß[ài2o6ªNúç¬ÝcÊß^KBüØ>¯ÝˆäÂ_çÿkêÇÊ2Ӏʺ¾€ìñ´/ÈûÔÏ^#^Եŷ">ŸyÉ©äXÐÎø=Äø6rÎ]?°?·€è¸aÄvFâCµú½ Ñ—E‡1ß>$Néz‘õÚkéòžÄIÕ· ±¥÷!¾ ?ŽÝ”]}Ñ\¿ªv8–Kj+ëôx Ùgo=Êoêò¨Þ§ú*s`X´ÚëFb$k <¢nïAb©ÆJ¼–O¨Ÿ¼97ŽzˆòãµÓ8éÞ‹Ä^O"¹ÒSH¬É¹ƒülDöX÷SîVë>uói$ŽéØ>Ç° yo¡mHcþ}ˆ-g›×kaI}aý´Ï)‡ÄǾVŠõâµó(:}$'TïZ$ÎhœÓ1F¶Oil–÷/!ØG72/h×=‰ìið:ǾG|)c¼ŽCCd,â-eãyÄ÷b[ŸGÅOþXßÕç{Dã~Ä4fFY\¥zˆ—~¬wk¾"~[§Žéž×>òãO=A¹ù7ºO9ø×H¾µ1€ jÿ0ª÷ŠEÎ4qÌú€è'ÿÿ;ñëšøEyT<~SmžAÎ/³Îg©›n >ÃÕ±Zí–‘ÜFÛ£§ü ®K³È»[…ZÆÊç N#ºÏ5#ùð·‘\ã>ÎÿèCâÊž3ö#GÔÎd‘1ÐBöñ·J=ób“=„Ø\CH~Ù$’SpE´Ú¤‰Äx¨¯[ð3y¨ñ=cu¬ƒ²Ay_‡èõz–¿\Ÿý:*Î#gµvëZ¯è}9ö ⣳.Î7ëÙ‘Xï$¦ó¶ÆëË¢áH§žG›\³±ó‡Uö3úx-\Àß< ÌrØȯŸCò3f¼¢©P†õBÖS¶½y—²1§zd=°Ý9†äfx­ŸEð¸ZÄ7(®5w‘8ðzãÄ6¥^ã<¥œ?‚äDÍ öÛ¼ˆ¼Ç´¹ïQ[×õFÞ7b9à\ñº:Šà϶ý9†”‹Ý¢Õ1çez®§ñ˜µ#úp•úfYBõ»8m¯>cÇ·‘ØtòžÞ2b?³ÜfÑÉÿŽÕ ß:\´^|vlÝöñ¢êeZ‘³õG‘÷Êü.*úp'’ó³yˆ1Û>•ÑØþ²~&§‘÷K6k -¯§EÛ$¶5„øO¶=6;Q•¿ÿ×õ±둳+–!òÐŽä®ÑÇ ¼X³]Î÷õëWõÛsÔúÐöרú|Tå/h,/¨~Êî<Ïðœñxz]!Ï!ç,Úÿ4¾Ãv/#~÷!•³ b;uñχwÂòùYĶ¾Œœ“ð$2ß.ªß¬çËzî‹úíÜò‘þóªßåPBp ãnÈÞ[ööA“úp\eH#qœ?Òÿ#ÈœzYu¾¨±ØìyóúnÜž¶4çÂç4SªËt8FÃ~,!zÚØeäiû}Y#xﳈNY¥oêl®-”ÚÆ~šs›Øfê ÌlFβ8…ÄÔ,glÓ¶ßsH¼ŒÏQ~6¨.òþh¡O#úÐ÷öÏ~t"ïb[œãÖ+þ´!{L9'–#ö¡q„qçà\¡<í,Œc—î!6I«øPFl†$~Õ§:¬s\¦ScGÙ)‰¶'›Ô—ïDòpLÓÄ/)#¾²ñŸný?£q ÍpW4•ˆú¿ñ=ÚÔOãÇôÛ¸Ñc¢í¾Œä…œFl2Ïsëá^o3®Õ`Ïöïl¯}ÁYùÉ¡ì8®`¦VýÛ‡ÄÏÙþ ˆþCΩhVØ7ΗF$†nŸ~3’GÀ:[<Þ>õó‚êÝP(Ç>µ#xubËŸFö6†Qµëuo ðŒe¯„Œ1ŸY£ç|Î:×X u ý8Î)Únw‘|‚—‘w z$_NÆeÑ¥¶eš[ÀX›m3Û>â{‹Êß/ˆ«›çoÎGc×kÄ“ È´éþ)*y Œì÷gû;‘\ËŽeÑòcÚªoÆ)®Êt#g³°9W¨¯ŒÌ•›zæªøõr¾l³úLßö9ä<’KÈü¤|Z÷×#zÉ1¸®r/#~yñoËÈcÁ8Z·hòšºñiÖX:¶Ù…Äm·‹'£zŽ×W!çÿj@Þå]Fö;N`ÀkÍ,‚kósÑ |æ b¯§ þGâu{ÕoÇúøÜnݳÆzè=¢>þ|Îx(ûB™t…1ÜÓ>ã5rrn!×Cû.ö±¯!þ‚±0¶×¤¶:‘}jöfÅ/öϘ3ûã1^B⇶ý§DgYc9€¼GÌö²uØfÄn0îçõ­A}nGÎ× Ž"çbÍ¡ú½¾ÛYã÷—įÿˆ¼˜¶Õû„öÒÓˆýÄ6"ùæž“Ýâ¡1ÛÖ!ø,y´F¿Û‘|§d_Âbƒý6b²Ý¢4„Èt3²Ö—´£¶ˆ·œóï#ù1Öq”ûkW5lRmц:¡þ;ž9‹ø¦,ÏuŠºÈ ÛæØ;Êç;õÜùB9ã–½jǾX—Æë3âýÑM;­˜#ÒŠê}1o#{Z4,ÿ8b›Fê¡;¨Äå÷ª ål“þS—5!¹7Ü’jk'â—pì9ïkE×mé³]2^ u5rvÅûzŽ¿×é:Çû–ƃëä]Õy Õ{<֊׎cØÎ0nê¼,Ë“}uÇ­F|\>sI4lÓ3ÃûúMž´‰§÷‘ø+ïíFâ8ö™‡»¤¿p¶Äfd/†ç‰cg¼N]>èÍ ä|u¶wJm7êCº¯Y@|Ç“Ø/ã³Ç9µwɾ%úÿ+õÍkˆ×ÿYäœlëñÕâíבýœ#/#¾öëêÏETã×ëETôîy$6çþY7pì©CWŠ|†óý„¾7#ùÌ[D“í²qCvìÀºÒsϺË~¹mÛzäÅßUû¡úœ#û¤ûç7>ÑQà•u–ýØ"FÆk^/ûÅ+ãM#ªç»¦{ñíÙ×õªëq$&Ò…¼o€óÜkJ“úË9Ãu„rtA÷¿„Äc­¨ç·!Xëñ‚íP¿| ñmØæ&]7Ì>|„äTQíEtÛ<2o‘<ˆ~]I|3ŽËvi³rìwªÜ&$Æ<‡¬[œwœË”é'P½~ÙfXPÙÕßYÕ÷Ÿ 9{õ*sÉîÑç&ò^‹âÏ9•yÁgP}–"yäXšñ(ó™4ÝErm8¾ï¡:.e|™<æü£NiU{O"yAŽ‡’‡œ¿œãûÕ×vÕ7…ìÏáµûâÝ HS›Ê®Eµ¯_Ô¬Ãóþ>’Wü=ÕãøÁ¬~3l_å6²¦\V®"gl¸­{¨>k•òãX˜ñd–}EcjtÉ£Þ¡6ï•áš²¤kÆÙÜwóÞ¾I‚‹:VR‹äŽç\+ÞBežý}$׿É‘´ÝÂ>u"ùEßËxýJõµ97€ýtŒÈ±‡!äœÑKºŒë "ç–n@öÚVG°?ûHžãlo‰™^Ï“ÕH¾!?kUŽ8ØŸ!yºô¸Q‡¬Sv!ïþ$¿ç|Ò$^ÀØã‡úÿ;¨~O¹qƒnµ½ Ƀ¨}Ë‘ òòŽxÿrîÉž³}þ/S?¼f8nÃù|\¼ä¸SvË4öh–߃õï £MˆÝ½9Ú¶“c”Êñÿ™ý%dß;éÝ"º,_Ô3´!>BìdcB,˵û}ÄÏZB5N帬׶«H¸ŒíãÄMÞy=8ŒÈmÚf[ÕöyäŒcA5j{¹ÆcÙ¬²+_Ù6اÜÒß%$'„×~™ÆìOÜ@ràÖ Ú~ä;‘ó4Æï ç7©¿¬ï¦ê±-ºJŸ½…ß´ilß—›ßkñøï"þ Ëì@Þu5 Ún"ó²9cÇsÚþ„ý·Âý¡Â5¶ëX]ž=œåÂúŸÔØ®@ôÃ~ÄÞᯣÎ-”uªñÇ®ªŒóiX?rníjDoÌ"±¡Vd¯¹}~®Ïö¼¦8†iûG¡~ž8ÿ©7.©Ü;Èù0”}É5àÛiAö«ßApJÊå-㢼ô¨]Òõ"’odüØØq­ú4‹ØÖ1ƒHü–¿{‘sÁ’&®·cÈY”uj÷2’'êùì8숞}ÕùjÁúŒ?ÿ#›¯Ÿ/‰Æï öàiÑ¿Qß?Fì|ÊG#*ºÁm^Cò;wk¬^Õõsª³™s,÷uÄWì*ÔåØö(rfÐ-佑äã"’wàùÁ5ã:²g‰óYfÏ"gÏ·ß4-Þó=‰àƒs¢õâÏþÉ#RÿŒ5ÛhR;¬ã êß…ÂóËýÌr/#ëp2¯ÆuÝXC 2ÆÆï­÷(çWÛtN×»¼Ì>m³k…kÔ¥EÿZd±q³çžFò;Ûçó…1¥}õ¢ÿ:÷—ñ·±Çî(ëçÕžmQŽåñ_ƒœ¡ÝøÐŽ#mAì6ëáòþSų–S'þ%*sškýÄ×aY®‘348Ïw#úÚº½Wcø!"ã;‘³Bym’‹Ç>=­çæLϱ ËV‹ÊnAÎ&f]OéÙóH~örÑWFrØo@öW{=dÿ6 gÂÙžà÷K…~±ýFdŸüxóiŸµŽëA·% ÷‘óñ‰›5#6ËFÞ­àœ£b¼Ëú€c´µP†}lBÎ?!/ï"z’2rLmïå3cˆýo,´±?-%$6ÇÿÆv}ÝcÏvh'PgïCæg;ªcõ–]co¶Yº‘w©´ 9ÀÆ9¦Õ¶1^¯'ãjÿ²ölG0¯M¦3£1ÙŽø£¾7(þMÆŽíÏ!þ§}4¯‘”¯½5o‚ב—\“ßAâø´[8ßìg´":ÌþëiÑv‘aêŠ=K>¬×½ùB›#ˆmG>Ge܇H|ŸcF€y"}.N:¨§ïÆÚóÝòÌï#¢oÁoíoñþ"*²IŸäaÕG^\Dö%¨ŽuHŽ¬åþÅýH.Ã)õŸ}üçºÎ~\Ö¸Qvž)ŒÃd¿„í}ÛÛß=çQ-£¿Žìí_¯gî!û3ú‘ر1ØßÑ÷5d_#ŸßŽøž+ÆYfÅ‹3ȹý–›>õë¶ÊœC0;ŽÉFña2†õ¬e›´Žé¹_еÀñáCjûÕÅõë’3a,á†xð°Æ–rl?cY_Éw믻Ží²ŸyÔäýØÏ4¦ø¢Ú(\_Ð5Ëœ1õy5‚-]BüÒfdÞ³ß#È{ÐYŸ1NÒ^Ô9ö‰È»†B?yÍ~(±ïVÄG&­‘ôI$gkîÏé·ípÛ«¤›öÖAÑçxú:$Þ{Hm“æσqäÇn#yV¬Ÿ>ôNñàF_äß"öÏ%TÏ_êãdO/ÇñšÆƒøYb£xä÷)kF0’Eõï‚®ý*óÅþËuñ™íG,«® $¯~P¼ M”ןˆO‹¯±ÃÃHÌÈ~œcv7®1Ö½&ëuÝ~zQΫÏŠÈãY•¿¬z×=®ç\So"ïÀ>„øA¶³–‹¦ {ü›ìÀvž±TÎMÊëב³B{Õ7ò…ó”¶B*òÕ‰Ä{†‘3>ÿSµw ±é½¾Ú†!ÿ¶!û8O!6ª×TÛÃÈž Z$¯Î¸ÚsˆOkýX‹øFtýÙìI3–Ճĺ­Oxí4r&ûÎ9y_usLÞAâ ä3ó&þ3ül?^Í/#Xe—xÖŽœ³J™·n2æºyÿy0¢{ç§4¶uÖGyP}-ªo‰ÏŸÑýkjçiÝû‚Æ’s¹•¹tN϶ªMcçåo&‘< ãgæýdïiyYtR¶gT‡eî,â›óÞ¢þ»Ï5q±ól÷!ç,±Ÿô7§5€en#g?ô þ®ñÉsÈû+í­V›‘ùd šužÔ}òÔ¸ñœAdo§}ÛÅžÛ櫱©-H¬¶Éu¡,¾…jÝ@­Cðn® ³¨Þú1_k8¯ÿ’Ò/>oP{¼~9þG³xNY݆¬Æ(|¿ŒÄO."9ãˆÞ.‘ã¬÷²Ï”ó‹öí“Nä|Ž£Hœ>´ãÑÕŸê/iy 9“¡ ÕﬢýÈyЀœÛUFÞeð¾ê>‹jÜ~’Oc™V=÷ÄãZ« Èûlwõî;OõžBð“!ÑÉë-j¯AýóøÏí&Üñ×$Ö>/Þ#ý¢®=…øsÖ±óȯÅ>»1ŽË5b#‚k‹÷ì#×—ýÈZ^BüÖŸ†1¥.ÑĹù+ȹ´ŽqÙ¿¶/|LãuEŸ£H.å}Î1 §Õâ²öÿštÿG¢ý’£ù¼hæ\¥,@rèŒag}ÉAdÛ?ÁÏö×|±§lï²þÈÿ¼9¯­OåIãMµÇy¶JÏÞFlÎEú¬h4žç1uÌdÕ9Ü“#–Û¡qü-üµl×ürN!Ëí–qdïûC¢‹´;žÂöl³v"q{ÒúâpÙ6£ý9ØÎÆ¥Jú¾T(;†à;žƒg˜ mÑ2*ùp³Ó’ÆÎt/Gây¬ÿI$ÞÈõÎñ?>çõà’G7S¨cÉ%2~jb/’×I~ô q6ëæf/Çì«¢ù>’{d¼ÀzȶŠyáù:!>‘VÊÇ>Õã9CžÐŽæÜ:¢kžˆ¯Eöú:ì¯Y@ìÕ^õŸ}\¦þL ùÜÖaÆígÜaP}nAr &‘sâm㔽®£ˆ<óÞÔÖ&Ć  |GmV;´ûcv°ÑõŽ³£±?Î>x Û‰œç1à÷ dýrlf'‚ÉyÍ 9¾'Ä»Z$‡ ¹PΟ³ÈZsáo¹ÿ·}jÿ–ï>T¯]«þ–ÿÅk½…k^G|mQ|:ŽàIEuHÛ´Ž‰²nêÛO«>ë γ$çhÙãhžL"ï¤à7eÀ ïmDbO´Q›góÉówuv4åú˜ž›+ÔÏ~ØvªCöØƵßfyf¹µê ådŸÚkDr “¦Ì/ü^Žè"þ§ì·éùåÈ>F¯“¤ç2’cm¼†ºù’çy9—Ãc@×#z¢KÏ׊§ŸFbkCªÏX`·ø´É•kA0¯‹È;ŸÌ?Ǿ_AòD/ ºÚüù–î·"ùS[y¬Ó÷÷!ýÆ;õÍq¼&šŒ pÌŸ-œ'‘B¯µ­â×¥1Ķ-£ú}1ÖÓÆ®;‘ØÇ-ä}ÄuHŒv=²G«„ø"Ô‡‡ßÀ~ôm$q]üdübt,Ô}ãç"²þt‰ž$L¾s-á:b•÷wéòø”xòydÝGÞ;v Ù§´OõÞDö•—¼†ì±²Í~‰M#ØƱJ_jØ–×íÈyôïMj{—ʵ!¹"ìïÄ'›FÎÚ2>i›£Éÿ7>ᵺ(ÏŸüÔî­.\ïBΟ_…`¤ëMTæ;yñ!*r¶„ØÛ zÞùD“*û²çÍXqÃH,é,rº}´VñöwöïëÚedj²oÉvòRa|z‘} Óø›>ð3HþY¢·8«nËP3"‹ä1 Í¢¯Õû’©©^Wù­ˆ?>†È«qçnËg|òªÏ.è(Ð݉¼+Üsm2Çmã[æì×ò·íSê¢3È^®bŒÏXû’_N:_Õó{Õ/ŽÑ2$÷ó÷’Ï<ƒ¬1Ýæùr¶Âzµ}É+äÚV/#9½ÆB)'HLzC÷”ÓGý±9¯©9Ûr r6?ûðEÄ/¤¬Ò†[ŽàÑG4–MÈ:ÑèÇWŒšãBãùõd7Qnó[øÍ1ÿ"¾À˜h´Ž6vXFEg­FrNž@λCö½¥2E]aÚŠúà“z¤xo».ñ÷ê¿åº?£…>ÿŸé&ß+–ü?yÆk¬cFÔKÆÀ¨CÛt¿èûBì®ííÈ;P8ž!ñ ckö)/”=Ûá—Üf Á+Kˆí±ˆÄV û:(Î%áï¯#>Õäܺ󈾲| ©¯› m ‹Îë™DìŒ6$'Þöá*õë4òÞâ¢×®"ç\Ž¨^ã Ö-ÔÖ•ƒ…þb½œ‹Ä3öᧅ±à9‹Ø‹äÅ‚Ú:.¾\BdoÁÔK¢ýN¥¯5öF0¯UÈœa›'?‹e:ÅGçŸØgóZ|Vtl-ºO}Õ„Ø.^£Î#gÑp N ypö+8.ûÔ^7¢sÙ—Ï#¹7\'©§‹|–kÞrõc‡è[ê5¡ñ8Ž´3(Æ},Gì˯ëù5–»UÞëÛ‚?r=ú%ä¤{‘\Û/Æ›<¶¤1ç7ðc{Žý?†ä¤Úþ˜CöΗ¼Ÿ ¢ÃþªñËu0ÇÞ¸Û:…̽IäÜ=Òó¼øÃ~ý‰Êl+ðÉzå¯é™$ÏÛrÞŠØIËÝûœÚ£ß´Lß5êS[¯üoým<‚}_BòkXÿ:$Gä¸Êý÷¨ÈÄKÈ»8ÈÓÏ#y“sH^g-’ÏÖŽäŸ;ŽB[¢Éi§LìCl~ú¼Óˆ_â1â‡sÉþÙ¤xc=b¿à¼Ê±Ž×ýìÓ~Ñq 9ûpy·ç ¯AÞñaLÔ±sÇPHÿË¢•í3=ˆä@:æ0Šøû¶½P™“݈­éXp;rþ7ëY¥þïøŸr¼€êxM7²÷‘4nB°+Û©äåø2¿Î!reLuDm–tº†6ÈôÌb·y|¬[ZÔ7¶A]¸RåjÙ°<Žœ÷ß„èiÒÔ†œ?Ïõ`ÁÆú‘uó&‚ÿž@ðAò£YCÙn‰{–E+Û¡ ï³-hüÝ.ŸYDežÎŠÆ£ˆ¿E™¡mº[|«EÞC| ÉÃg{[‘s]º <¿­{Îc˜Er1§ÕZä½(K¢¯½PÏrÄ—³ZŽyߺwÁ8mS8ÎÌþ¾,¾²_¶g÷zæµÌºr½úlõÐì}ò<^BÞwožsM§S¦9—¯!ñL¶C]m{­ÕçÇ#û¶(ç+U7ÇŒ:ó."HnÏ¢Ú_‡¬¹wÊÓAD†Ç˜ÀˆÊx9àŒÊ¬×=ÖIýЄèãKâÏÄžñœwŒÜmlElmöí*röû~_åÎ g±³ÝO!gš°N®] Þîxà$>æøøûžÎ²·}ºŽý8–7„`³Ë¸þ>äL>ÏIò›ºá¼êøŸªGÎþ)ÆÉ°?jÜÛ¸c%û{€ìåñaù؆àwÍ¢{Ù/8ìEY…øž}ž3ìŸñ<DΆ;®k5ÈÙñEÜÍëa/b§y½EÞçÀkÏ‹Gn˱Jc9&ºù,1нH ˆmqü-×{[é¼®×!kù´ê]@âìçÃz~»Êÿ²®ó>õ/qIÚÆöê\÷ÇúMzœëØ¥1¾ ñéFìKclo#â3²Ž»È>é[ˆÿ4Œì™±¬ÙרÕý‹È»DŒ³·"¹¹¤zf ‘}ëóÛ>+åæ”Úþeñí(‚¥.êÖáu²Œäið^ y®×c*}Èùm¦sYôþßœ‰óÈyýeñŠ2¼Ñÿ–ÿCˆýj[†õ_Crá– eV£Ú÷ö\[Bõ~GÞ£¾»`µäõH½è{±C6h0ŽÃ¾o=Œ™ÿ•½ßß@Îo¼•õ™DìdÛöÕßϨÃw ²1¨v¾œ!u9K·$ºˆCÙ&gû´Gì/ðúß¾¦~l}o¢£±½UFÖmÛ33ÈDäÁZõÇåì×N£z¯´m°9DGRŸDæšçÇ"rÕ úkÿ€Ÿ¿BÎ_àõnÄÎl@ðBÚ‚^l ›u{KHž—矡\î_Hó ä½O¤ý=·yÿ!û{²@ ë[¦~2Áñ¶qÑfpñµÚU¯õ§±Ç~µiþZ‡§!­œëßÒXA Y»ç‘5’¼Z‡ìÇn)ðªñã_Dü[Ï‘z体^ ©{ˆÃ}º0Ž¶øÙ,>r®Bò ùü®k|æ2ö3H.`-"Ks>àõ˜6FC_¿®oÎYÎͨŽ•êÇ4‚ßØNú”hæüß&^}WeXÿ·Q³z{œÁŸN];ñ‰ëÆùy¶ð<Û~ýi{~ñ¹W ¹ãSÊÏPÁ¨l³ö"qDÇŽ‘s'»ÉrA_öA’+MzˆÅ“Ù„ä<þHŸ;» ÙÛNšw#˜Â _»øn¼Ÿ¼¥<ü×êåˆO³ˆä­~Y3†ùoO¨½£Þîuh‰–\òc ‰ŸXOL"çä›ï¯HórF‰u!ùb»j´P¾ˆ©˜Weä|¢#…q#ß7"ùýîëI=ó2b"$ËÕïôrÌý/ÕgóÇøb/r& ïq}x¸ÀÖû‚¼†œ‘Ãz~N÷ØæZ$ï:dbQ¼x‰3÷ˆÿäÛDßç½ì¹$_h§qnl@öÜMló"¯ý…ï~=K;ˆóÿ›ÈY¸ Ž6Ø='ÄgÊèMÝo@Þ§ü›¢ÿ÷÷Ä°ì"bŸ7ÚBl ¯7Æ­É_êÀ„²k»Ññ©2‚Q½¦{ÏxÆyÖˆÊ<"žÎu¬ÁvÞFòE­‡Œ›Î!{hh'yîw"9×ýÈ9ž½ˆ~^£±±Ì×Ù‰¬õˆßxHôÜ/ÐaÛö:’wЋÄÉNˆÇ3âó~d_‹uœç¢ãi—9Ò‰øH¶m½Uß–!9§Îí0NÐU—:ý^‹ÄO,sÎÕ±¿ðœÚçÚ·Gtw‹g †ÃñzP7ËŠ±¸íÈ^Øä|T癞½jw·ÚíRŸ¨?9oŠ/!~麀`×缉|§{·Ð¶í¶ÄFD΂fŽŸò~’ge»z ‰û¶#öÌ$b[ïüD{˜­ñwþ§-sIí<†¼KÚóxbÕ!ïw¤>2&ý$bãW¢*!:¶¤ûgó\Ï‹¶CHn“ñ/ÇtŠsÿy$æÔ®±Ú†äÆ/"ç` xÑ'µÈþPÛ³ŽÃQw?!rí¨´Ë%égxï0âëóC¿ˆúÓØ4¢Ù^#*ë‰s·Ž!9ÖÓH.²m—ZÑ|F÷:sOtŸ¿×è9ÎÉNõqÙ£±N<ëDrÛö¨üõåEä|_û*”¥7ýû‹ªt·!9Ž›S>V¨3ê[«žŸCrÁV‰¯,g,ÛqÕ²ênGòÅÿ‘¾Ï¨=òÿ ÇYøŒä×zÑþòNç6;ŽÌ5¢ñÿŠøš/!ñØçTÎ6br&Ç TûF^ß;Qm×v‰æˆÌÛNp<ðC74FÙ_K[æ ªÏàœSÒ@ÝsKw–m¬FÎódÙ$¿Ál“êíÿ†‘w•ô#ï~u\#n"ç1O!yMü™¿“HÌÕómBtŒúnÿ·YO[t߶È-dѾ˜à³÷Û¶¿P¿1÷Ó¢‰ö mÖsHÜï¼úOÞO:©që+ðãªÏÜ8/Õ!þö2ä=Ã*·Ñ_§‘ó#z³¡ùì}$®o~;¦3­2ŽU\ÇjÔ†}Îê“ÕïØ!çÎrT¿CÓ¹Oö{>DE¶xﳈ^FÖ’+ÈY×Ãâ瀱ùO!g»?S«Ó*?‹äÍo©¼mEËém•õúgÚ º96”§2Ù×÷&$¦>€œEÙ‹ØNvÁøù ¢-o'LócÛ«†±SÇ‹¨×w‹w{‘³!^Dæk’Ká8ñ¢èæó¯"{¤ÿìCÞ‘è8jŸž ñ=ol;ÛïA0Më§fñ£^c÷‘÷yðÞñ°ŒÄÁ¶¨m¯Öƒ”ãÂÖ% ˆ.!çîAdy»T_[‘3A·#¶i¶¯Ïg»Õ¦×ënç6¼£ööŠO¤é¢ê´ß/¾³nÛe¶oö!ûU¼F¯@öí÷!vÅ ²‡Ã¾;ÛêBlÊo ²5«ö'yj}Ãqï¬ó_rßíóÌ!gD߶lX‡²Þ06ZV½Tþ1ñ¯YŸí‹Ý-ðÙø«cH¬Ûö›óB¨¯`Î æútL<ÿ”®ß@ò6SÖ!ù®¶MŒ…Œ#ö)eôudnô‹Fêõä]¡ŽE:nÞ‹`¶öµ­oYÇ*÷âƒb™ÕyÉE0fu9‹ Ký}‰·_Eü¯NñÂc{RãIù(!眜ÔXÍè?k,c7²ŽíÑßg\b¯xЀ ¾Ö†ø\o g¨/ 1š^d}å·±,¶ýrÆãêÇ|§î|IŸѵ ÉÝ࿈Äþ¿‡œezSôÖ!XƒélWý%$¿Àöà´ø~Eu]U»­jó0²b’“MÞÿ‰]~¡@«qi¯‹Oç‰Q~"²pÙË1†ø÷öGV‹ÏÆ Œ4‰nŽu’cÕŠêØ;Ï#r{FuZoDÎc؆䳦刎žï®!6Ñ5ı-Àú¼î¯í×8ž3Ž`^È9ònëq$?cK¹ lrn·!ëm§øЪ²Æîw3¢>´!ù9èûM$ì8&Ëp¾®Dö“‘Æ—U×5]÷úc{Îc}U4Ѷûb³±¬ýÞ/¡2¿® ²5…ì3éEÞÍYFd–¼¦lnF0#¯muâA=²7pBýß‹œQà|…'›™mß_.©Í5¨Î/[Bäô²fñúväÜxÚZÄihgÑÇŸAÖ§%]Û‰`¶}âëW¹Hξ}µäÝÆ”9Žÿ#º‰)‘ûÅß)õ•Ï¼„œKb¼}²p9¯¸‰3ü1rŽ‰c_ HÎÆ ñá:âw”ÄæGxäZõ5ñrV4z|Wâs7ûrFc²G<äØQŸ/¢" lÃyi¤{£x@»’ösR86ð³ó`~¶Ÿ2Ź»¶0ŽÔ9sªóOôßö"i|€èífÄG²¼”Uþ"ržõ¡eÙþý€úü’³µñ¯—3~Õ{À‡Å_ã³´ßW뻉Óv‰&Ú(/ “1mö…þeâÿrÔµ-âU~¶¯­f=rÆô_‰Þ_‰œ½JÝtJíp˜U½Æ­‡Õ.¯} 9çp ܧkŽ[83©ßÔ;”/Ê‹ý¼QêGâªä›eÞ¶>ÛX¥ûíÈÚs^åÚõÛ±£»6ûâ?;/í#õÉ<|Nýr\b™çýâÅSjCÎ? \AdÊtßUÝéûP‘õHnµñ]ˆsJu°-Ûõ,»Ù—ß ñµ› ×Ç‘Ûê@ÎîCrÒØ61·-H h\ã\“Ñ8&úùŸó÷ëàÚòòî1ÕOÙ}™¤]ógºÿyTæ•cþ”“§uÏø,íýW õñ?õ቟:5V³H®<Lj:„2Ê5’²a»<¢L_BÞý܆àùÔ׳f²ßk,‹rîySBr­vé?ïÓø•³¹îì­Žñs~Šìƒ¹¥úvéÛÆ;^CÖ«ydŸ¢q ÒØ(>¾RÇ$w¿^}Z‰àdö)“eǸûÁq§.Þ¯¾Þ@õz1ŽäDÜBò3l{Y‡`Ûÿo¢¢·iŸPV9‡FòC‹ëi¥ŒqÍ9ŸbAôÙÿ±½Á:¦Å÷nµÍr›P}¶í‚—u#ëîCˆŽR¹õHÞ5Û§Üy}³OK1æ¿îëNä½kÎ`{[ýÚg‘µšm=[x–cߣgE°˜2‚Õp=°6‹Ø;¤wÇ¡¤|¯ÓÇrtRã1#úö"¹Vœ#›ü€¾)çåºÇq|Ký ®rPåÞS¿=ö^ïðzù¢žq ɸòõ¼rŸ{¹¥|Ö‹Æ2rîñ£ãI~n‰½}YÓo®{-³Í:­ö7!çvýC•[BÎmâÝ×ÿ ÑåµÄþÝŒh3ŽkÛÿ’»`ÛôMõážøË~]EÞIËñã|°mbú ²E½ÁyE]ð(k¶}çµ»·P‡c¼œë¿†¬'¶Ñlðw˲ÜM{‘3¨XÇdïÇŠëÊM%Ÿ[¬é^sK…oË ý¸>ñßö“q¾9䌂+ºnl×slJÏ‘~úW¿ŠÄ²Yn‹êœ,Ðz Ù¿t¾ÐŽùï 6 åx"çDïÄ^Y©ºN"g©u"¨6o#º•úx?‚;fÁØP7‚/8†Áúí~ñÉY–2rÁÄ( \¾‹ÊF=´ 9û‚úȲèÓ§ºØuI«ÊŸGò‘>Ÿ~"¾¼ŒààÿBís¾t 82í²›È~ºq$jÙKI™{Õù¶ÖïäeÑÞ¶­k_º¿p­„à˜g‘w¯²^ÊÆœ®Sßp­Zäpp¾oBì‰Ý3NÌþS&ËzvÁ£ÇUî2ªóË®8„ìžFÖÔVÕóóˆ]UFÖQÒByèÔ5ÎûÓÈzAÝwÁK½ž[¾ù»Mý¡@ó0r·u±U꿵È>Áqµ9œg=¯67#ûþì£Òý$v:ƒÄSΊŸC¢å(ÿÏŠ¶CHlo¢ÇI#e€òÍyëuŠõîý[Tíì/"±‹$ô¤Æj93›ôrsΧ×gþÿ¼è´-}[uýÕg<„äWôâã¸V²¾ðûbïñ?çœíÅi{Br¯(· †YĘ®#kÿÓGîFöDý©î;¦Ö‡œmúr#Û´-½Vã`Ù¶~œO8‘<°ëˆ®EpöǘݼƊål7p\>DrÒì§ úÛX_›èô¼^}_@õ>ÒNÛ£Y?ízœiy>\Aüæ!Ä×¥<]Fbdm&Ö+ºo!ópTõÝA°QÇb‘5ﵹɱŽ8/Þ¶!XÝ0â—Öjl&Ô}ãg‘ým ¨à¸¶·ÙêåíHÞß’úUVÛœ_%$D1Ö½9¿ïsHŽí!~Žøù¾ZŸ5HÞtñ?û´IôM ~ùb¼wµ~s¸€¼ãÙ¾$i¼œ4*žÚNmEö£/ ï\›@æÉvÄñøSvíÛf¾‚ìÓ°ïðŽxpSå;Å÷ÿ Õ{`8OŠ±Ç%Ñü°žíBÎàÜ©z¯ ñYËÎÕ·Su_B°ƒ~ñŠ4,GÞ'ÂõØ}ä\êkÈÞ=ǒɧ'õ„z:ä‹úÞ¢giÓŽøa_Ø›Æàè›oDr»‘ÜRëä~õçy$_Ìö 宄Š\÷ ¹ô«‘\—Qä}Ê^ÿ£àØÜ@l1òâ9$6blÄñ¨ºÊõòëEr?X#’kmu!{K{ö k°×Ë ë2^s\õÎêÿ>d/̘h\†è«)Ä÷ŸAÎïEìÉ^Õs9sl«Æk?2‡G\ž×#x?yü%ä|Çã{DÃHÎó!ä&äq›~Rßç¸Ê=Ä^CrE/ëmB°oÇÑ6i|^½ÆGÓó¸÷ ¶ Û£ ,\BrJ&DÛi$GÔ˜å’_ëøˆíLòa•Ú¸†äÿoD°r~»­¯ö©žÍª“´¬ÔµZ$wÆøø$â;•|§_œ|{Éû˜DpöÅx´ûB™i@|™WŸÎý÷úIž]AÎ|yI×W#¹u¬ëõ‰ãó˪g;b/P§yž’†y'ïžÐ³Æú&ìr@}¹œŸ@újÜê¤E$ǾýíåÈÙž¶­ÇÅC×}ñÚ ãwÙ³C,Ô±û_½¨Îá0õò>ŸfwÙ66±ˆÌo³fµó6ò.Å»>YoÚ—¶óâÚ†÷Z<ØV÷_¥]ŸsHî맜;6f_á(’ƒb]ãø.Ÿ[!Z¶!rZBÖþÞƒäxò>ex¾À‹ñBùnñ„õu ùUú· Á9 ºzè¢c(?/ë¹&$‡ßvØCȼçX=Šø””GÊk+¢Çm§ñÙ›H̃²¶y·”×m®9¿/^½«¶=ÖKÏ™ÎÂþ6îc?mñ‰mC#ùe”‰Ï ±ã•º)?»Uu çÐU$߃}¦¼4¢¢“· g,X/œP¹Fõ¹E¼·œO#ØÁd¿$û²ÉíGÖϲÊÏ"{ÞVHë’ÊmCu<ŸõÔéžçÐq]kDö¯ŠVÚÔ·ëE×1¯nS¿.ø?†ä±w ç:^ár­*Ç>îDÖ Ç2× ï¤w"z¢ù4°^¯w½êë£H<ÿI$ßÄkÔ€žéFöýt©,¯7¨ÜE$¿Öyv~Ö6Í00Kºê¿É± ëÂD‡ßE%ÿñ2«±=jŒÐöü ¨ÞËÿwQñ›ŒZ‡<‰äpt¨꛵ˆzBu²)$î]Òï9$uXuµªŽFTl$cùüý"3iï¨ëN©þ}j{^í¶¨¾ÿ9c…ü[DE6>^ŸjSùWn³žoRyú"çDsíÒÇéÙ®c cjÃzž¼pŒ±„`OäéÛº·™Ëg‘3 Xv²’ŸGÎ,1®=œAø‚S÷Q¾®"ñ‘ÝÉY3AÞÖÿ6ÕÏg‰£RŸKHNÇÀv0ëýYóìժ컈]w9ÃÁ-Ëç?Â<,®ÉÆãJÈY3½Hnþ÷TÎ:êláùbëYO± õ!í‡/!ö*yþr¡ýÎBß…!þÙ×Q9×ÑXEê~¸ðœ× òúLáS½ä¿óí“÷o!g„Ú6öºÙÄv9VªeDgx äµ/ ¸Â°ÆÄzß¾¢m€"r9Ÿê(‚û9'È8Ü*ä\‚7Õ¾×Aòjy§~†e8ŸíÓyŽ8ÿc‰­;9§q¢œÚ–t½ÍNãµ–s—zîœèç‡óŠóúXáÿA}BÞÛè"®Å”¯h|~ v­·ý!M—ÕOÚ·îM"çR’GÆ«tî1nù+È»üN¨N^;…ä¾…Øʤ—k1ËFÛX‹¬?ƺ¬—Øã˜SÈÞ5ëøf•Y†ÈØ‚Í"qþêßG&α6.a›ìUÏÓ¨àŽê»]ã1"¾­Dr¸>P–({ÄËd_T£ú7ŒäTõ"g±Þ­úþ*r†ùË5²À˜Í=»Qãðrβc5lã.rnBòqò¥±1#v›ëx™?FÖ ÖqX<2&fͱCÛ\¶s~Y׌mX7ò×Q·SH,{AãzÉ¡6Þ5&šW‰ŸµÈ¾ÐYd'mmÎåï gÖ :•ÿ×!6§ýPÇά‡ï"q4ŽÇŸWhªÙŒØ€]â;i¥íYƒÄY×&ÕuX¿½æ]ŸÖ}ò‹ówò¾Ö.ñ†úã¦ÆäSÈ™þ£H~—×»ÓˆïÆö¸fQ>½fŽ þn—è ýó¬Æ™2°ñßV¢úŒÆ6ÑÔˆ¼[«‰gΈ÷£GÊÇÿ†ÊÝ€ØÖÍâëmd9ee/ä| ¾âܘBâõª«ÁÕ¬«†Euºcúæ!¯{½·ü:g…ÿ·6†‘÷¢O#ïb˜=Õ¿Yµ¿ ñù"2gj –¹³ˆ`9äÝrµiÜxYª÷ šnc¡jÛ‹u$ûdÝÒ¥¶ìO“ÞË…º{œ» ±qh#¾‚œ»À1œ¿‡Ê<^®ö¬ß)¿_Gbl—våAr¶Ùò~ׂGnPÛEßJý?i·\‡ätŒ!¾éG¾m`ÁDz\Ç×gÔ®cºv]´:î:‹¬CêÿrÑòˆè»¥>Cdjñ¹!8ùõåE•¹€êsi8Nœ³?m+½lã—óg,ÏüØÛ§6¯ ~ã ÓFýf{ŸEæB¿èiErQ±¦t7r®„u«ñ„µO¹Ù…øÍë5ŽÖWÈþ»i ézT×í$ÆÇûÔßFE.÷ˆŽ•g_íNû—ì7õ§cÅWõ™UŽ!kø”xâµÆ6Û÷¸Ów)#¸ê…ãÔGËÕêJ⚧EKrÞÇ Œä^ï0®2ŒàþeÄ'e_Q‘;öó„ÊÏ#xåˆh?$úö gm;ÎÑ©ö'‘8ŸY©zæ4~Æ;‘±¶¼Øï]‰ÈË”ê|ÉùêGâMÆü¬KØÚ6!XÂ0ò®‘’êíFìǾ=·l'w”ñZµ»‰—rŒã$ÝëØ ±•g}‘®ÛôS[`Ž)t!ç°,ça½Æì HL¦¤gûÔ–}cÏY–£\;ìA0x^?¦gØ—“zv/r¦+é¡ü›ü·âÍr䬪‡½7‰ÈÕ Úñü©CòJJêÿš?FßÇþ¥1œ#aß¼AíÜ-Öá”?Êó=ì¯xýpL¼XDòIë”ê4六¸Y Á"\iòîËa›ÇUþ êÞ†äI—ÖBÞ»÷‘Øií,´Éç^ýX‡ätœAü ûô”cûÆ‚V!¶‚cÀ¤ÁþÉ ²{’wê¸ÕLïCþÛž«ðßþe-’ïb›¾«P‡mÛöä£c œ÷<Šs„k(õ7å’vè ÑF¾žGtOŸúM<Œä~zÍ+âo”³5j›2û)d®²¾wl¦Õï59ƒø¬¢Ý}ú%“(Îyι ÈþáqÑdßìµoL悱ñ~“ÆzƒútDt8îØÈ‹¢…ÛŠG‘ó¼ö"gÌŽëÚI䜶A]Gý°ñŽ!¸}¿Æè=d½sìÈãï~O>^à­íÒ½(^m)Œ¯Ý@ÎdiBòº»;ÆØvÑ^ßÙ.çËÇr\ó%d=±ýÅ6Ï#kóaä¶Aæ¸Ø Ѽ\}äµmÈz9 yíõxH匭ØþãR^ïˆWG}ꧼ˸3ëØœSv¡Àßš—#:Ïsv“êGæÕKÈ~»fßžBlŠ9d¿Ú‚O/ÆŠýlDE†¬;A°µ+jg#2O#-uÏ„è¥zɉ  ,¢"'gP}VÛý²~7ª~Žß3'ò¶Á“ö‹Ž3´häó56kܲ5ÿ~w¯Gâb#VÇßw‘ùð±O^üê²Äßw¼›ýNרˬ¿ÙåeµxR£ûßï7éYŽ;å€1„sŒ]·ˆ¥p¼'‘˜ÖVc|D×w¡z¥cjÝ>Ë{_Ûlm ò®(ûf¶O)†ä漆jˆ÷‘5åó¢í_"çßXÿûu±ÞŽÄ#_Rÿv#gÊ gÝ>àMêcIô-"¹aöʈ}á¡1$>@ûô¬Ê6 úËõ†:ŸvÊFÕcmÁ,›eä}$u²pÝö'ùÂy·Oô­Ó·cÂÔ{”AêgÎ{ëGÇ"K…qº oû"góïCöÜE|âQÝc¹‡õÀ>îT?Ź2rNI2îŽ/\DÞçs‘+¶K[Íq‹ŸõóÆçšý “6d3¿©»w¡úŒÇ£F0…ìÙö\c_9þ”µ-ˆ=±Mßï‹7ßGe®’¾3¢ñšh£íHý9‡äOzÜ(£›T/ia>ÈiÑÄ2{,ט3õc7ë‘\kç,!~ë°Ý·9„ߟ.ôÙ×ȳCª‹ëȼê?ûp9'é(òNŠí*˵ð•µîØ…Ø&ĈծP=ëø«m òˆrߧ²§}ôƤJ*»_í4"ïh¶3ƒàëô\­î=ês÷=Ã2ï¡úìÌDWµ^÷Z;?©›."ï­±neÛÔ”‰Qä½.û\íãgj~‘cÉ%õsñ…Œk“¾MˆÿÉeæ·‘ÜÇbë‘sìYÙ3ö°‰Ý[ß½€`‡ êßâO/«ž̃÷Ÿh•s.ìSô¢úìYÛúlómd_¨ñˆnÕw\¼ãÜñZÍç9®Ô™!>Yªógq̨—¨#ŒC³Œss\Ç÷òþ]^ÁI8Ï6«]Îï{Èjlâ8röžuöIä줕Zå7¨.ÇôÇ‘30û‘sº3¥þ?…øúæÿ¤x±¡@Ëר}ÚÏ!g©:>?Žœ[чäâŽ«î ¢Ýó™mÖ#8b¿èæ:±R´s,Þ¯ÿsÄ.ç|€¬ÏŽkz^ŸA0—È^/©O#9âµ*CÌ”2ò rþï4rö¸ç7ù~9·¤OI‘Ï£…:Œ]³GüÏ ÄV3_Šøf衼ïFb3ÆêìW¿¬ÿœÛô…Ûu¤S< ïô÷T÷"*XjIõyÝ>€äk8Žm|yÉ/pLÒöµí7¯o—iäsþžAìûI•3–\BòýœKb}³W÷z‘÷è÷idí7æçµ­93ƒ¼_ŽØ–³)ÄŸ4žVÖ‡õ¶ çVÕ#öþ‚žy™·¼Fù£¬5!k3Û|QãØ^hƒå÷©ůÝòæžåErç™»ŒœÆß÷5|îWEÏ9$þÔœëoŒf9óc¢ã_b?Ï1ÖwY#IÇ“ºÆûó®Åç¨(LJwrr|_ÖÿZÄF$ž0Œù °ÿ´ñ^@üW¶ó»ÈÞ‡ ä¼ç5–g+uÕGY®º(o ï<\ä¡N‰¯ÄpÞÕoÖC?ØÅ’úA¾Eì©­È>hc˜ŽUÚ.ߎÈ_¿Ú·ývÉ­¶½l›ŒëA;b§t#û_ŒY X¯ãá3òe³xºɉgÝ/"1q¯ÿ“H Š}}€àEÖÛ,oÛº9WÁë2yB?º‡s¢ˆç^EÖ^çḧî×Õ‡-È{Z‘ý+Ž1Z?œGä–vå?EÞ¯±±3Œ'ŒˆÏDö¿4k\8¾^+œ·]t²mÎ~QŽh›qnRï gSw‰.Û‘BãˆÏÖ©r×>Áï.Ä~·ÿkìo É×#m´O9ÿQÑÛž; ê“׊>dÜ®Öðšñ\~¸~@rƒµ_ÒïSêç-$Ï‚|´O½ÙyHãV¬±E»ÝºÚøÐÄf9‹äDðUë}ÛCˆ}hÿÈØÁ”ÆÙ8çèCÈ^œÏ‹oƒ•ª³y/Ší8׈›9;‹¬=‹¯¡:†KÞrnT›5ƒy“âç„Æå8‚spŒžEÖÖv$OÒëã—‘=ŒöA-+æ·ûdßž¶¯ñâPÏ#gf²ŸÚ‚äp>ŒØ´µºG:»‘x˜ã8ìƒ1ƒ­¢eçwkXÚß@ð8ÛJü§è-ôÑ>4ëÚ¯zO¨.ÇrM_Icmy6®x±sOê¶ú%ÑbÛsX¿ˆ¯óê×äÍ/ >Ç‹óïUd?Å dnŸCüÞ[‹ìS$M+‘=‡¬ÿªñoÎIÊö:õ};b“°”}Úûm3Úu‹êñ'õl9bB|â˜y>u"ûB6!{)ËÔa ºÇ1=ˆä¯ÛÇîAöë“ÚBÔ1´³ßGâ]%µµG}ÛÄ~zTç9äœð:õǹ\Ã=Ïʈmâ8˜uA1ŽRÒ˜ñÚ6Äì@dÁë×}³ÍF›ëCb_ÐõÕˆzE|=œuÇñ¦ hlNjܬÿøåÞ˜+ÿ;¶Ò„jpQßO!X=gt9ËÅ>}Î!ù»ög,ó¸x̾L"¾ÏI•üÄ·±Ë·q–þ?Jˆ¿c{žÿ)ö¿êEëiÄ`Ÿi;ÞFö3¿PhË:¤ñ3í{±+‘˜KÁ ŒÙ†fŸ×!º°„̹ÕM;ã¼è¶Ò€ì!õÚc¼Òþõ—×úYõëÇéGι;^ û òîľà=ÊÆd-w<¸EüåÜ¥.ãœ2V™—ˆîì-ŽûÙOqÞ1Q¯y|ÆëØ,âg[gY¿±ŽÈ{G–ëÿï† eì_- >#ç¹uñZë%ŽE9}É ëC|Ô!$Çe9ÓƒõSWÝP#9=ˆÍ3ƒœeÃö6ªïóâŸû¼±Ï¨ç!ç{°-c8âŸ:Öò0€ÄË åø]ƒèËa²Îrœ(K¨ÊQúë1= q™FÞÕ2àHÄÖἌiDÏ°Nê‰Ó¢ç#µù$~ÖY+ë×IÕËúJNä˜X³è<¬qäsSȾûF³H~É€>7‘5`‚¿„䢈Ï^ëKêA0"ã=³ˆì³O¿Œ`pÆqlƒ–½ËÏw=rѹäÛ3¢q»Æ¢„ø‰Žo°nÇ”Œ “Æ{jÓ8p—ÊQFéóÌ#ç.9.èXÍmñ¶É×ìç“q cC/b‡û&Äþû *¸Ã˜èáó^Wö!úŠ×™çF_šãÎ9R‹¼ßƒózr6ñ —&­ôe8ÿBÖ¡ÕªŸr¹‘açtˆòœºî:²o†òõEõô¿‡ìqæ¼®Cõ{QY_N"ãNÝpHŽËßEõùܵêû;åˆíÀº)OÆäKk׳ÆCÜþ)ñÅk¡1ǵêwŸþ;†÷,bçšÿÆ0ë4†Žm‘·^oík–<×y3ö›§p¬´XÿØ%ÿ‹èú¶Ê¾¤q|]ÿ {J׊[õü!{3>·$Z¾ŒØüÏq^ì)ÆÙØïy$‡‡u]@ò£¾€¬¿Ž¿mT]”å«Hãć^§²'=bG‘÷¢nBübc<Ïâgû¹ÿº\=òŸ¯‹N^{ñ±ìKYÇÿÖ©^CÇ5¦oéÿ“ˆêùqVü[‰œ‘ÓäØü,’kYè Ò|Yô^A΀<‹œAj[¢Nýç˜]/ðíQÇ]Dγ{YkŠvÃxá{û¾‚Øg¬ªð}ÕöšmÉ"NшœKbÏÿ«Î-ˆìµó—‘89˾ƒØ>³…ßý…1±¼˜nçLý3=o¼†XäˈÏiÌ™2q´À[Þ;®:øM?„s„óËk+é;ˆìêCbEß×5Ë~ÊŸAöc±MÛý^ãO#òëøÏ‹…z“9FÄû¿€Š~­—Ä_¶¿ˆœ×Ì9Û€³jǨåa‘é‹È|cªÔŸ§Dï ²§¤Œœ%1‚Ä´l—nDÖFÛîÿ:ñ§Imv {V«ã^kßÇóÓq]^7Ök\ª(ó”“È™¸ŸV$¾4(¾BôB’SRR™cH|Á¶ê)Ý·þcoÆ“¸ä ä½W‘8‡ññ’ïm\Û¡}Ð’>“Óˆ d<Î6Šq×iä\ ¯‰ßÆ1]@Þo}è¼¢½c›a£ú3 6× 9´FU_²vˆgËßÁ˜iø‚ÓÙ§æsÆåI/í c"¶wÆEÿ=$×o"›,G½±Éמ¿žRù›ÈžµÈ¹çö دTç$” 4þTbAÆúÈß/!ãÏïþ=ˆœ•Ë>EÎÑžQ=Mê{+â'Ú'§ìoCöBØÎç<ý1*¸Ø)Ä7SÛœ_”iêú¨>CÎ:â¬Ú<„à7‡—*´ÔüGTtek‰ÿüß?þü¿³8f”…ÍfFÕsÛ1“ýº6„ÄM)w£ê7çÎãˆ=Ò¤2”Ç6ä]cCÎjŒÌóiªÐ^cü’·ÏúžCÖÖaÄVº/šÊê+Ÿù:¢¬ÓIïZTçc:®à9a»ÉrÔ¤ö¸þÚOîCÞYQ‡èœk¢q½è©C|ÒÉñË‚-@° »È{œ(_[EË ñä¢úÝ‚ècø”ß«êãsÈúŹGy]…Ø#Ž_SÜ@ö µˆ~;>bŸš×hcQWü)â3PÿÒÏ{É]D|Ùkjw§úı<¨vw!çÏmGÎ`mQ‘³cŽ ï08¥k—DŸ®•ìv7’+Åïi_·žGô ßR™;¢ÙjÓ=ÏSŽA+’§e[Ùxݳˆtlvkã7×üGT~+r¾Î9dí>‹ø_w»‹cô›jÃþÛšCμ—#ótDüïT¿›‘sj¼v=ƒØ:3ˆ=ñ¼xÏòõHóˆøçõý‹6Nlÿ¯V÷Cü¯ ÆN#¶Ødð ñÞ>Ÿ?Šø‡^cv¡zV/Sq]CÈû”Ztß9ƒH ûØŠœ%åܨ—Ueú’øG]± ÑßÆÝ­Ûh_QG<§zlw-"cí ÛnDÖ=Ž1çÕ ÄßcYêcL¬óä,=ShÃsmY‹ë¹µéœ´nÄï^Bö+kâx?£²È9Ò HÎ2é°dLÇqíÈ^Ö"?ƒÈãµ}JegUçMämó Èy¬ìÓud3Ë_@Ω±¿c¼gñ¡I?uV }ÉïÍzŽcø[ˆŽíGö^’Ïû™&-‡trF_°¹pÝ9¶aŠü§|s^Dr‘XöCT𼟠¢;H3ñ¥ûêß’xrY㌃N#çÙíCöŸÙo´}M~Û.¾€¼ÓËñœ~•iAÞÁ[ŒoΫÜw‘s¿ŠÌ ‹þ%=KŒ„vÔŠÍóÈ휫Þs²Ïl,µÁ$½ÖÎjìœïÁq¨GõùüÐöý×Hþ–ã5½ºgû®ÉẈj{ò_¢²öŽW‘˜8m“H,”ºžsµ ™oÆ„‡øѲ¿³K}½¨çYçIÛ°ÆÐö ×=®CG¹cYtŒÈ~~/sA|I¯Îû°]CÙù*ï¼x‰y™÷ö?îi\Ï¢Ú†\Brûœ/Áï}eì;}ës*;¯Ï§‘Øß*µ¿ñÛlߑϳHî̇~B:o!çQ× òЉäéÚŸ5| ±“ŒÇC߃ä]p8Ç«ßmÈšÛ‰äæÿv¹¿ð©+üöÚÔ!ú»‘ÜÇ^ñÄt².Êíãç¤ñ*b¸¼c,”%ê”7‘5®VÏð›²aûÉú¾”×Åa•½"¾º Ñðõy’÷Ó/ž:Þ8‹¼OïŠøl0…ø]ÇÅÛAÄ^,#çà5#g;DìRÇD÷ªìJÄïU?ÓýZ}Ûߣ Ì5g•ø\õþ–ú0ŽàÏôAûÄ«ŸGâ—½úm}ó®èqœ»Ù·°GõÞBu>?Ë‘sxŸ@e½rnË1DgÒ>¹ gXÿeÄ'p 璓ȶ7‹:‹àb»‘<9òf=‚SÇ›AâÑ+’ô6 ï¶CÞÛb[mÙ;¿Oí©Î×Õ—×ôÌqÑÝ*ºö!y8[ŒÄö›±ãå¢ÛvÙ´¾Oˆfb´'¸F;@{¯¿Po'¯áó–Û!d/ã³^/6vgLÁóx3‚ïÜQ#1ö¯ ‰Á_AÖ‡}jïuÝoC°Îám¢‹í=…`fªÿ}a“h½$^ÙœGöî°~΃fD>øû‚•ðúIä<ò-zÊ…çof?8‡õÿŒ®5!vLjêDÞó\ŒïnRYÚBŽiÍ!{"·"çn.j<ÿïH Ðxh¿xÛ©±%=ôág‘=Bäç\‚›ÈžÛ¬k yï«ñÛ#”ë=½]ÈÜ='^=Kz¶ÉÕ3>Èñ¡¾Ý)zì›±ï× }ö|¿&Z¨ëwIw¡ú½åöÆŇ÷EÏ‹ˆcÛð-äüÊqCÒØŒÄÏY'õÙyG¥n²Ÿ?)^¼§ñ¬G쯶‡l;´©ê5~È~_GrNØ—eÈ:ry¸ãNG‘s[ú‘¸£ç–m –?‰ì¯[ƒ¼‡í­Öoò™óêCä=íöCl[YÏ 1‡·¸â2õå]ëP{l»y7¡íˆU¢ûIñÇ8üUDìó÷m}×ëÃu•ú¯y’ñwcÛÍzfµhrœ·]uÏ"˜ ËßžDäb#²Ï“óúœ²ÙŠÄBš‘Ü/ûÕsn­'Œ‘9Æî˜çô&]Û€ämQ_îÿiBpoÏ…n=P´•ÅçÛÈ~S®ƒª{ƒøÅg(ßö—~ˆŠþYƒœ]OÞBüPÛ2»ES3mT™£È»l#žB0ÿ~$ߌc² Ék;(^Aðòºé*âÏÛ\Äâ>¯67!ç>¥v[5~eý¦ŸµÁs?i_׉×È~Ê鳈ôHá7ŸŸÝ-ˆ]|Rü3ŽÒ„œaä¸Ø¢îíÑ89¶ÿ¬hc)Ž©Žh|æ“×+òà+¨ÈÚ/"ïå8P]'õ¬c…–Ëȹ“lï!ÑòÈÙÝ]ÈùG“È;³Hû%ÑàzìS±îiÄG¡,z}y o>³ÑåãH>õ½që-Ë壅ßÆ‚¬›Öª¿jç¯PÙ—rÁú¡è#rlÎ#2Âñ^BÎØì|v—úò$áx9~ÄñyñO(×íÈ–ÿÇÈûëœ6‚ä8¦«zÖ>ïÊíw ß:°«R¾æWPYoÏ ûÕÍß&äœ:ÇBYçä •Õ¹7{‘x»1aÒR§~Ž"±òqyÓcª³U¼Ý…Ä ¶i<Êê÷f$žM]éü‰!û4~m,Õ¹–UcëW‘|žÄ.#ï9/¾¥~š¿ú<‚ä7•uoTõÔ#ýûãƒzŽü¡^<€È§c—Ž™Ö!ç3Q¿ÞGâèÎñY‰œ­ËÿoŠÒÃX í½íˆíA¾Ñ¾hCð"Ë„c8Ä3>ŸÙ§ãžû)D®~ŒØò¶iM»uïïDâbö“íÓ:¸¹0>lóøeã<ú%Õa?²Áy¯ŠV®W”mú°?o>@⣦¼Ý$çuì”ýX&šf‘}wH^ûЪ²7ûëQD7«ÎuªÇ¸ñ4c§ŸvE}¹Œì×h@l û©ýHî'Çp½ê±ï;¼rÉÿ7¦m¹<§~>!š¾\—q$ãœx}É-#öù„èZäʱo¯"gÂÎ s±¬~ñÞvñå¬Æ÷Kjcø¶¤ú'Þì3^ÊrŒOœ@0ÖÄçDÎ죌O‰Þi$¾ã±c}Ž {̽¾²Î=ˆŸaݾ yĹõ@÷‰?Ÿå†Ö<„È8Ë¿„ìס,R×=`c|® ‰»6#9+ǯ½Õ#X:ÿEåhWÙnñgɯ-ôÑöý*_²‡Ó1ûõ|f²Ò¡Ns,Ýqé=HŽ¿Ï#˜­ç÷d}´œÛÖæ˜_}¨ÎÁe”—GE'õÍZä½Ï"~!ý®»3•O<‡äè”ý ¤ó‚½t#{ºMkr¦z’»ï9ãØÇÛ>©cä¡ãnû‘<í:$6Äñ¿Žê÷ÂÛ3¶Ò‡`šÆ)j‘}ÑöñômpñN¢ú]<§,Óz¡»@¯cËŽov#8qÂäÝ‚äùK…q4îÌ~ÞFÎõ¼¢ü}ˆŠ¬½‡ìÛôztÙÓGÛƒ6ÆA}ïCÖ5ó¬½ð¿9#—<¾ƒÄÇv#˜`-’ãmœô–Q‘ÿÏ yqŽCLhüŒ¬BÎ:ñ\[ì[2~Ç9r@}\MÔQW cÉ>s}>èr–¿ úÈGί÷-ˆ?ݤúFð3ðg48~[RÝÆe¹.?¦{¿È‚íu~8ö_Bbƒ,kLêEBÖųÈÞ!•e]H.ü´è³w™3”iÊ­u±QÖ³O÷/!kÉoÕøýyï…çè"_g }§ž:†Ä–'‘óîlgw©}c¤ƒÈ9QÆŽËÈ;Óø¹Qà‡íÑD¿²| Õg.×£Ú×á·×•A$?ýY©1d;Èy¨´·ŒßòþÏ#¹,› ý3æÀzhó<@b¥ ¢“2½KüÚ‡èCÒt¤PË4#ç#xçÛøCg‘|±AÄGÁ³¹Vœ×s¤ï5Ëôz1„ä’í2Çv«Nóu½Æm%/4^Ãöh×Î">ÚEW â+]FÖhÛ'güÅø‡i´l@öß°îeHo ‚-Ìê›æEÍ>µiÛñuÄ}9¯ì¢hyÙßÉr§ÍéÞŒØD¤ç›H~/ÛY¡úCöë;_§Œä:r>rn?¡ºÙ¿E•ssÑ>ÂŒêuÌfñÃZÜecìµz~±ã8ÞŽ}|€`ÌýÈùrÔË{ýÇôA?Dl‰Ñ1$ú¸Æ˜4iZ¼Ÿ…¶ë"y«Æ™(Sÿ#bÿÚÿ´žžPùƒ¨~_Â% ¼‡¬»¤¥„è+ã }È™heTã)ìç©c0ýºnßíœê¶þX)ú=žî«ýg~¦Dë+HÞ(ÇÄúÎ6¢q·;#Þ®AÖp¯ïû¨ÆlV}â·1ò:øuënDÞ)ÈþgäÚþ*r†ç4ûhû¿W×Ù?Û©Ž‡lA|h~~]³„àm“úÏç5çå{ræÇé…ú[UÏ&ätŸO"çöYÇ{-8…äÛÏéBpÌb ˆ¿¯Š†õHL†ó•kwSgŽ›±½G uŸCuk-2Oú‘wd‰#øüß{‰“,Œ©e²ÑWߢŒ †Å¶-Ëäå`?²¯d rÎߘúml™²|Ñ}µ§)Ñæ5÷Iñé!O-ð¢E}âØÌ!ñË2’sЧq½V¯ä| ÛO÷©_cÁ~Güö•º` ñÙæ]µuRuXÿÙ§#»ôl²~VÇc{ñ'ø¡­m½ê5ç¸ø¹$þR~_At®×öjwªÏľŠ¼gi3뻩ë£"¯eD§ !9äÇ}$:Œ¬)#âÅÍBßÖ#ç„®Öý-ˆO<ˆØ75nWÅêØ_Gö¨’—ŽE]Fæªí@ò¾‰yó»Œý’ŽÏêá÷WD?ÇwJõ\Bâ¼f´YClÇ;ÎðÿAì½N¿DòžmîPÿn"1‹22ÿØæ]TŸ½l¾ ¹Cü|±;vø؇èDbÀ–1Ò<œ÷fßé¶ê·?j|Šu¼ìeï!û3P¯õ#{èÖ¨ü^µëØäp¡¾i$ÿ»èGY‡G¾ØÄȺCš¯Ú6V`ßÏõ˜>ß[œ}Iz¹Vm@ro¦5Nc.8¦~,Gޑö™»a ý7EÓ“j›r_B°ç$n‰÷YÿÛÖoÖx’NÆ›([óEr²Öª¾eúvÛ4Æ_иٮ›ÑØr]¤Î lîݤ¿ÑköÅ…_CâW|çFñá.bgåÞ±«ÓzfÉ{¢ÞÞ£k‹v$'ÛX.ïyì-#¶ m»–ô,×'êEãëo¡úL%ÖwÉ-ë×Þ»¬6¶êZ'²€å~„ÌQã>uêc²§õ@ö[Dü¯È;æÎ}™BrßÆŸˆ®”Ù}Hìª ™çžKˆ εèÓZ;õì’wÉ67!gä”TþŠúVƒœûd÷n‹ß”GEû³È^ÇÉØ{êïI$–ãF™>"ú8GÎ!:r#²>Ù&x9sTtþkTÖÈëÎÞ#Þ\Gì}¯a¶á)o§µÏëŠ}‹I$g{½„È“ñPëöã>‚W=…ŠMeœŽóÜx×}¯_ëÇDã ¯7ûõìˆøpZtÓFnﮈ/Kú}FuM"gc˜^Û«ÄÇ)3T™ßBp¢AÇúfÛßsaªcøæó]ÕAÞ9Îa~O!Ðy$7xÉ_c[^{ùÌ÷ÕÎvä|Y~¾„ØZ¶Ý®© ÎÇg |÷º:¤±s®MYm°' }½€ø]Ö‹lËvÔ6T¿õâ-"s¶Év,<3¾Ö`?”Žk*ã¾_ÏP÷(ô×vt‡øpKí^Cl/Ëemaì6"X/ÿÿ‚©V›|–óŽë“mcGÖ£ìÏ‚#°ü«H^N›ÆÌy öyÊÈúÁ¾6!{­¨Ëv#{Azœ°‰Sš¿Æ¨‹¶çå‹óf¥ž³­ù$²÷»_¼=«¶ï‰ž[âÕ&Ýc}{Dï3ÎÄùk¼ï]Ç«êߎäcðù÷‘wËŽ©Ýÿ Y'{ó]ŒÍcî@öÓ„êsØûT'ûµ ±ß9Ž¯#gi³=®_DÎÏ@òÀ–Ô_ÒÌ9ôŒøýä}0ìó}Ëç<7†ïù°è[¬[Ž7 "çá—üAÑCùÛ§²”ãG³ßíŽ!s‰kkƒúõÄ´MC¾Qv(\ë·‹W|ö6×%Ï#{fìïsý.£2·ï"X;ŸY#Þ9‡pAô—=ÃzOž÷ÚbŸžt5©#ê;ñÚù­îÄùJ=IÙ£øf¡Êö*ççZàXc¿žÅ3¯gö{Ù*3…èKÏ¥d{οˆœu³_¼ý¸ŽšwU¦S}n)ô}¡ÀÃfýnBöг¿ˆè“ÝÈúa¹³ŒïP_Íoc¯o¨ïBü ÊÖ¿­ëÅ^ûˆD=õ‚»Üý¤³³¢ýÙ×ò"¢>‹œWjyEô•m`~œƒqOüäXx®ñÿmÄOåǘŽë.«?âç9õ…òkŽý<¦çi[>‡Ä‰ÿÁ©ŒW“¾1I ª}ûן̻qT–Ý„àfƘo!rãu~•xu9C‚²Ä±žFæü¨®=„j[Ì¿ :n\¼è)| ÷º4žEYf»¯!øý‚³²5ˆüX¿x5Vâù8\¨Ûú­ÉÑAü[Ç”l‹oæ üìF|êV$WªÑá È>W¯…œ+ed-q|x\u¾Œ¬Á¶qL«s”<ÞýˆÏ@J]Ãõpr–„íǸŒ1œ@plû•¬ó È»Á·‰Æ§è¶?/#>ÏÕͲ¶·:ÕŸ3…±q|ÈÏ@rýw"vÑŒÚá\nFÎ4ñúºÙWÆ1¼¢gn#vc=b?Πz¯²eÕ˜_Gõ9é|f‰ç—5&äÛ«È{9¬Gî#çt‰ÿ {¦‘\Šêïâ×Zæ#ùsä÷yCòú`]݆¬ïÆ€LŒºÔvI¯èîCÞG@;³Uô­Etg²gÇ<8Šè”Yµu·0žÖõÃêÛ¢»­Cf‘ü7ûÌ|æQäLfûûü~Aã°Á È•â÷Mý7­Ö—\óm{Y7Û*ðl™§u£ÕÈ<Ií>‡`íêÏzTï'òœìGtŠcF3…ë–?òãcÛ¢†öêÿ„¼kn\u³eÈ{áÆÄo÷§Tà ç/ígÇ KHܪg?9G¸.!¶þ ]‰9Ùnb[”—3¢¡ ±#m#éÔx¼!:6 ²Ò¥ñ˜DözÓ§°oþ'Hìmñ-f4f\'7‰VëÇ훜ÍñO?ß«gAì`Ë×|a÷rÞ~b§8†4€äJv©ý«HÌ€¿=¿¬‡wcÙiäÌ'· öÄ!õeÉ¡µ<9váØ$é} ™ï}¯ˆŽß¤²eTÛ)SˆŽ3†µÞò=$°„ê7Öçuá"’;mœÂ¾ýYÕù»_Ò·Éf¿Ë=‹è8cH¦g¡pݘÁ:õÑëçØZäK¶·9CÃø«1Ëø:$çžÏ½ƒìÁ°Nfßž,Ðdz–ü±ÉÑf¹y$O‰ÿo!9äÑQ•9È4ã¶ÆOæT/Ÿ§b {r†0¯So7#9´Æ¾½öØÖy‘~Ú5†ßÍ_FÖuËÅzdÏy÷=dŽ;?Âr|JÏ/´óqÿkèü<’ÛYFöÞX¿òÙkÈyE"9͈Œ+†Pó8*þà}O ˜·mJòá15i²o¬…´_E|òûˆOjùAdÛ¾®éŸEò ÈoÛ™ök‘}—–Û· câ¹AøSäÌpÛ‘3ñÙFMa\žDrMík?@â”üpü;Äó¥Á[‘3‘Xαq¶õC$?h'Ë&_î!çõªäœsúüôyé£s~RŽíϳ̞ÂxÎ#ï]a[ÜYÒ±‰ÅïCìô~Ä?âÿ—ßÌXèT¿í4²Çc·É™(úfÆ>†UÖ1Û=Ž_îϾˆäÔx®8>iyvžÂ%D>xŸöp=_28¯#{,ϸ­rÔÖóÝÈ9ë{À~µý²Z=¿¨¾³Ì6ñÜå‡U¶‰ ­×xpÌw >˜ãUì×edÎÍ"yw”+α#H,Écìù}KÏ"ï\ŸÉê©?Gåì´NÑÖ‚Ø[ŽéÚeÝnNù‘ñ›Hgrþ¬eœÏ¯OÚ‘³šþ)r¶>u•mBö:Üö:Çû:²ÁsÿïèYã î/Ë:Ž¼sYûÇÔñAû<”ÙÖBìCN 縬CòŦ t½Šœwóòþq?[Äû†u‰í”ÄãKj›6ý„'‘˜>}ã ˆï?UàÇEõ÷ h6­¤å³È~è ÄÏX«±Qø»NõîDÎB܉Äçɳzv3²G͘†×"îAýÅõù²^:¶{y¯šíÞ§Lkù]×û**¸„1˜ H®ªã 﫾ýÖvXüáºOYoDe.Ý@Î;á˜t£:véþÔëÚ9ÄÏw_zu¢Œàð‹È~?Ö³Jý˜Ðï5Hþ"ÛØøž­ªû]äLü’úûºÊQ—v"ïª÷åÇzç‚GÛ´]α4&݉ät×X¯C«¸²±š%ä}o=â'×#γI=O}wÁº¦½¨Æåvêÿ§ôŒñXç MˆW”»‡Õ'®ß\ÇEù¹ClÛör®Ýadÿ«íJ~!9Pœ‡gu> óT^@b³£ÈÞh¯qÜ’~Ä¿=ˆ¼oÇ~B—ÆÆúº\¸oßϾ‘± 2bÛÛ6™U?® ¸Œíë^$ŽH¾ü•9ö•ÂXN ±ï-:{õ‘m¬MÖ]ömŒ•˜F~¨O›û’ò{ñç<¢A$¿¨CtDr˜ÚõŒc•Ö‘ßVýìÃQµAÙiÔ8r¬ö!ï»;¼Ç…u¹…¬£´‡öë˯ïg[Ë‘÷f±ï%äy'‘}S!ï´¯Eöú^Eò’Ö"ùÙÅG¾9F ˆ-² Áò¼¶­Aüå²ú2âG\Ð3÷ÕöN伜$¶Éà¸×‹gœ×÷ìvè™Ö5¶u^ýÞ„œ D>r.¬Cò¸†µ8£>®FüÇçŃõÕv®×žsâi=ræ”ñ û^‹ì㯖!ë×r6Ó¢ø³ˆìy_«þXö·‹7mˆOÙœGߤòõ­Œì?26áxw­øÓ‡`!֣ȾÛ1dÞmCr)¨‡ßEð%û@¬ïò˺ã§l‡ëð$÷Å~ÿÛ®Ù›Ãþ^Bd뢞áuêccæœï—EùpRu¶#ï°ýEd®qL©gÎ#ïFö|—3ÜÇÄŽß~$ÇrFcÇçô¡:n´ òœÛ[÷ž/èã÷Z$_k‘§raŒøÌ”ê¶=mÛÒøR ñq8vÄÃ)/èÚr†M9ã­[Ïq¾ý%²·ý rÖ¹c—¶a½FÐÆÚ,ŸBÎ+eû7ôMÖ¯¾~QõÐ=Î+Ž1eøŽÆŽ:‹sç9$‡ÓqòÇñ¶>dÂ}.xo»—ãÆùd{¹UÏ^ÕøgnDÎßBr;. XÄÓê-²Ÿí¿‹œ¿ð²úÕ†ê=—ýº¿Éiã5®'Gô¼c,ýªg ’_al×(§ Èú7*ºv#XÄ"âOz}Þ…¬!µ·N¼0¶Þœ3yVãòŠøbÿÁºb3b?“¦' }x‘eÖ½ñÿk‘³Cv©ï£HÞ–}ˆóâ×V‹mF쎡B}5nlk­ú´O}|T÷.kÜ(ס:·Û~6?œ'´¥fÔ/Ç+Øîd]2¦f»ó ’sè¸ÁEg¡>?‚œ/gy:€¼³iRÏÛΞÖXÞCÎzr\¯¬ß³ªë²68Æ@~M ¹o^ »5Ïm«Ï"{;F‘}—Ï#þÓþ b3×XÚŸõõCâ å—>D r•±®Aä®];ƒä–^Db¥e$¿Áu­B|hÖuy¿g-ò^¬ããŽÿ$7ÙúdQ×ß@òœ×á5‰4îAðucosȾúãÈ9è–Yê‘ÕÈ^}êÎǼ/"9€gô»„à•¤ï*rÆ„e}=‡ì§tœÛ>¤ó-\Ösæ÷_Ðñ¬dÿÒpáãåûÔG®ŸAôÅ$îyGϬEr8>¿€ä…Ù¿óš5©¾ÞQÛÎãÚ¢ñ½¦6ÙN ²'ȱR~^RÈkÚ:ÔC'õ ×¢2rîªõ¥m ~?åx}‰û°¾MÈœã||G<ããœàœyHãyYtµ!xä´úrÉés¿ÿ7$7Ð6•1¦íŸøÿz 9‹™e)‹W{Ùö$//ôÉy3ê›ewÁFÔN9ƒÛq°õͶÒ"W”×vdM@ÎY¶ï½¨q NòÚÊõò9=;#ºÆÅwãÜþÃçš²Õy@ƒˆŽ\ƒØ¨/ :þä¼êÇ8•x Z åÉ»®Â˜«!œO k½û½‰¥Úöš]!û`=nŽŸmBÞ‘õ¸xÜ«z(;Çô õ’}ßF•[‹œ]0‡äÙ,ê÷Uä¼jÇRšUß13°œ #{ÅùÜêB]ž7¶oØÇ¢lçö©œm³.ý_Ï|H׌)?P½”]®Gõü~D—7!:„Ïqæ\²oËþ<‰œë4¨g›Ü¹ÃÈ|à˜´!6Ëøáò+ uÓe<íˆè³]Åÿÿ¾Ð^¯î÷w Äö›}èSÈyý…±½¨ºH¯çX/«=‹ä,ÙîãÿVÄ×hBÎæ´ßMÞoU;¯ û\N vëxMíS~ ±Íj=n;ÿ×!öm‚ j6=ñyñi3ªñ)ÛQöQÆQ›[§ÿÖö›kÅÛÿVíx}u\‹üiÐÿ[H™sÅó㾄`ÑÆ=g±¿„àLmâçâ?Ó¶|9ß°$:9&Mk<ë‘÷?:&pX¿íëŸâ8 !8×Ic„Ë‘˜<˾Š`uâ5Ç…:i ‚ÅîDöŒ@öuØ¥~µ\>©ïó£3H ©AíqmZØ™”ñmË-¨ÎS Ž¼¢ÿë³ñê‘= ÆÑ9Ö_@ð0¶sÁExÿ2w{-#ó⸞»ªþO!g>‹ê³e¦ÄãÑØ.ºÙ.e¨‘kÛ´Žsx.Ž :²´wÖ ¾ØF]§}Îùèõ‹ã혯]U=#È9uHžóY$vËñ9®kSZ¬· 1À!Äþ9$h4¢Ú/ªÕ÷*äýè×ýý”‘‡Ü/cz\Ÿ6 ùräû‹êÿS¢i¯xËëû‘³ˆ«>Ç4Qÿˆ 4«ï‡‘umRíµ çHoAöyv«¾!ëù9äÌÍ­*wUmžAöd“Go vH§h™Bö'wŠv¶c½yVuÞBö²Úçè@teî ²6QþÞDÞójÌßöÁë‘÷xoDrÈ8¶Ä)"ñ)ʿ׾%×áó¶ÅÖ!ç·‰Ç ˆíGYº£:¨X ·YÿÈ«ÈzÌõe§ÆÂòc|œÏÝEü¶È)Æyÿ[¢‡úðC$÷àadß/ïmBæ—mËãȹ´ãú4k¬{sM<^7ý4©ß¯#>À—‘1$Vçõfcá÷mD'8–`ÝxázdÍ âóCÝýMäd à3»h ‰±=@unÛ2îûUd¬]çu¼u~Ùßw_ýlFrYö0r¿wª‹*Ç5–ºe rF‹å”Ï\BÞ¯½€ìÁº…ìË`yÇ„æįóœÜ®žï›5 ÒLyÞ¡¾Ðþ>¥ÿŽ#R×mBp¦·Es£nCðø1õ‹v–u”q ö­Á€.!97Æ?Xöï#؆ýôqÄv#?ì³ã²ÝÔ§ºHãûHŽø2ŸXî%$>Ͳÿbû²½CCó™|šBÎ#Ab’,óÏl~Éqvÿ_ÛDÿ«ŽÍ[Hn£s¿íEôM-²Ï© ‰qGð2ÛaóHŽ½ç°±?ê6ã:ýÈzæ¹²„ÌÁvñˆ²±ñ…Œ9}Oca lD4÷ìAòRœ_Ðø#^{/«Í6þ6²ïñ·‘óh6 {oÛо‘c—z–kÛ1ä¬ñaä}]¶o:‘œŽ{HŒÍýí@ÞËå\/ûõSâ+ytñq!¹9ÿµ®Eæe'Oq\žrö]ÄÞ5®ì˜µå¤]÷);ëÄÇEäܺFl?÷‚Cÿ‰³ÙÇçïV$—¶Iô½ÈWƒ9‡Øج Ñ•üÿU$‡­¤:,ßä#×ì%¡×‚ä0­CÎi´ìþÿØûx˲«®_çQ§êtŸî>]§ººOwuõ©ªü£4ሒâ!.H+@+ 14rcðAnƒ£5xr/­Â… ­¨ )5záÒ`DP%"FñBk $†Ç¿Ö>ã;ÎÞß¹æÞkíÇ9§õù¬Zg­½Ö\ó1ƘsŽÇo´mzm”së÷ÿø O6‡“å2f맟üNó‘/úÎÚ§¾õÆ*ê¿Š£ù¨ÿéúÒËü•ç {~÷M7Gçõ«7kã®ë]×gvkf»šOþKOŽÎg=˜úÜúG<;«¬õ÷þÊÁýX«ãú?ÿFqïÉŸyrpßüÞíùÇð/üÏÕö¬_¼»¨ß¼ÇæŸÿÖùê×ü—Ç‹{¢…¼kœ›;>ååy4ß<õ~O­}ù÷Lí×æ»꼿öž¿k¾z?÷ÝžüN´«ùù_í÷õ×ÜhþÔù}øÅKCøhô÷ÅÿPŒË<ÇÆß½s긜æcmã\ò|³õwb‘ïÝ’$?ukzýæ^Ï>ð¹Íæ}ö©õÿÖ—=ÿÏ^q}h{ú›ÿáÅK߶=SßþÅ]þ^ÿ‚¯«¶£iž·[û-ßÿß4cîyjmª—ÿ»o®²üã:šæ‘ê8t>/¹¾þíß8èýã>Ö¾ø‹zÕ¯¹óK²&m¶|²åõUÖ½ùôßýÔàwšW=Ú4¾~è{kÿâŸ<¹ö×ýÆRëß|Àz?;c¾\ÿÏ>9Yö‹Þ4o½6ŸógÜ–íçõÙ{]¯çn­gÚ~oúfÞ¶œÔѮۚÍÏ{æľ‹Î'®×?ë=>åýãׇ<¿vå¿ä÷Ö?ä_?yRýp;Íû|ÖÍ^Ï­}Úëk¿­ÿó×>‘ÏMÙK5cÏZ+uÉצyè{›Ë¯-ƳGÎü꿯—ué7nλºŽæÜúŽ桗WŸÛ‡¼+͇þ_Íùµ­&sjzœW­sÉÜíÙyûcíy}뇪uk÷å]{óyöÏ¿æsäÆÌgÎþƒÁ劭˚Ufó¼o»^ÜÛüÛŸß’ßÍþÚ“]ß:‰c•ëî.Ù¿¬c|/ß»>·Öˆg¾å«³Ï‡¥·{ºçê·šï­ÝÏ=û£Ù–yú½Y{ËËš÷i6¾òÏÏ|vëñ§oÌz&Ë]’Þlæw*úÌfí£Îõz_¼ØG7û'Fïx?ƒ>£¹çƒ;é`ˆaó…ÆríÁ˜YŸ®£ÖyÞkþõצ¡ã>X;Ì|îÂz}sç<½òú|Éw´:œq=É8 ´tÑl<óúU×ã4í>¡yn–,ëâÏ.ûK{̲‹´v,æ¤>vµv-Z³ëô=V9¿íÿ«Ù/·zö- •uþ›­Þ¿s”Góþï¼QÜ@Kë?õyÓË—=¯Yû²§&®×_ñESßï!#‡¬ÝšøÀÃóÿîÝû”sk‘ÿLg9SæíæÌ'<ê{5{r»nhu•íß­=°Õ×6Í?y¬o{æ=6>ü%7Úö®}Ìß}»ÝË4ÏýKWýÝyq»Ôí 3Æmr+ûÆ1ÊüÓrxMÕuÀO}wÿ®©åMóÁŸÝ÷Ù¢^?ŒæŽoü¨üßKV–u9÷ëóÖå8ŽvÃÑë¹%Ú”±¬Âž¿èÑ×fz\Ç,‰ñ£Yÿ…G‡–?dë³/`®š÷8.]L³ùõSí³Í™ïhksïW­d̆Ø‚›÷ÿ’]įnÙG³ù¼oéõ\»ž™áëÖû›»g_[Ü[@/ßE{#õÎû /«Ã¨ùÇß{О½Ï·sŒû›5_ñüÞß‹=^»îÂu¢+ônÖfûPÙ¾ í.S×°vó›²ÝöÛ;No~3t½Çö½ë×~òÌÒƪ¨{s­Üë­Â'|ëÁì£.]kÓ¼àí •?'=ËòUíÖ^¶û¸ï{ùK¦×kN{ºöêïcºà­¿üê'ûÚÌ›Gß¼ô~ܶž>®ïΰƒ¢K9óŠ¬öÇ2m4ö-›øÎÙ³oܾæì3Ms_áÓ5k^¾5þùeµé4]íÚ×c:´vO9¯_µüYvðX›ô=¦ùL4k÷>QÜÛgŒûÙ—y#1Ð/wGóÇ~úèïŠ]£åÕ®6O-ýžªÿÐÄsÍ]ßVýmíný}ïCë0õ»·ÚÜ4÷ÊkîúGOÍSƲEí/ÇVψ՛æÓW¼óÿÆ÷ôV/²ök±ÚÖñqîãW3½®Oë®e³â&êÓá ÝÚøšç¿íÑzŽôqãG߈U[ÿå̉}{Q½@³ù•7W^ÇSà?7®ƒÞüÁ¿—6ãæÎÏéls÷ËŸ³Ì¶ŽO]ÿ·U;\µè^zÚúdÙG³þ}ù÷Ùo~¶Ï;k×?ÿúqÕojÝ×Î|wQ·+ÿåF+ç8NºŽ½Û~6­~èì÷}CuüñkÊ÷zȘ¦ùf=³PÝ;澑þ+Ökøu4÷ÿÓg•Û®AywŸÔUËŒw¾ŽæÅßõGçcðM4{[+~CtBÍ•ýƒÑùµ7VÞ_íü¹ª¶Ï|oAÿ¦‰²Ž™ßÇñ F¾æ[ÿü—[™<¡¼ógw{•ÕÆÔÍð»8NýYsíOçÞµi.¬õzg ¶ÀJê(¬YzËÑ3S0)Êò_ÛÃÒ®µÖñÛƾ˯)Ö§!î W[Ÿ³õÍíÕêsÛx±q™0³8Š#ЇS¿9PWÞ<ôêë5ßó|f†¾§ëØüÄŸ_J{úø¬2οË?®=j{„Öî¿*\€fãÓ:}Tš÷~¬×ûÍkŸi6¾ô‰£ëOü Ç–õ¶?´z1­CÆ}ƒ–Þö>©ÕuYúÇOü6‹wÆl·&®Ü'µ2¬¹û5ÏÎúö4_Õeëć½cÛ+sX+Ï—Ãtëÿ^kžUïE›—|éãó¾;ò­hq]ôm>ö¿>~þ¸sÕmAÝyó¼öÞ£ó>(YÆ•ÿã­×]*´9m<†øaf¹+Þ·µ4ØgÝ8’AßØ —cÞ}ÀI˨Ûåhî}ákŠ{sÚ2šƒ;N"æ~Þ5l½EœÅ˜Þý´Ê³e-¿¶¼²,ó¸m°KOV‹ãhõŸ«ÚgË’ÚºzT‡W¾ï¡SÒ)±·Žêۼæƒix ‹ËŠ§­i²eÕ:‡õíŸÌò§ùÛ×£ÕC.lÇ»µ¶šùÌÎ×¾~HŸ ‰Ûh6Þ8Šå^•ï墾zYÎýÜ®«‰è£3ª~{ÊÒ4÷lõ·˜\}ŽVwê –l §…EÖ´ÇqŒ÷ÇP]K¯˜È%éÀ&ʳ5™víµÿûé‰gïºðOFçr⤎Zlçi:Ðs4k¢Ðq¯ý§o]DZi~¼Àrŧ´Ùú΋O‘ñ'_½Ù;w;+¾îËÆkh6^ùËÀæù/º9´œÞßëŒo>Þ½˜uMÓSÛÆw¶±Éà'lüìu>wXÆC/o׃¾ßS_0=¼™ö[Ô"GM÷6­‹ÍGÿè;ñœSË™s=Ó¥m6¾åÉUÌs'y4Ûï¹pLok3˜7Σi>íï ~gãoýÖðï ã[Ži{ú!±#ÌÍÿU¬‡æR 8¼½‡ØÛ³l½ËÓ\Ô'N.Ÿ_'Ϭ÷!Öpmoæý´í›­M´Wô˸í'ë10濳Ü)R­]¹¬Ç|¾!]º õwûåszÇv¾îËÛã8¢í| õ4=ѼǸnú]—¢êGµD Á‘ýª'¦Yï2{à¿-:ŸÎ¬8Gsæ¥7†¾3ăݹ“Ÿå§Ý•g®6ïÕ—¸oiuCµ¶XOÍúf¯ó»dϸ¼˜¥/M¼Ô±w†ä º° OÛÑœyÍõAÏßêãfã'ÿ2ë°ö=_2¨e,amüܹQ›ÿËÏÓ{Ôñ5Ê"þÜ-ÆȲqFš­W~Q»¯Ïë½x+[ºú®/nëIÓ°ø§éXLCÓÖN£Üÿ)æ‘*öíÈ¥û:-þ¥fÿö·¨[Óü÷G›æç^_<ß±î=nŸÜj/þ‡Ç›¿ÿÕË*/ý(Çâ‘‹ù1ì,}Ö\ûÅ~UÇþ‘µ*M­ê˜&O¶ÐÖ×lÝ=o¥ïþu\G1 §fïª}oÞø‘æÚüo÷çðEôÝ[kµYúÖvžj÷%}pr³Üfû«¿m|ÓåßSr5gÞ4wtžc\W=?_­C ü®¯øà™ï´ÑÖ°Ó†ÄõÒÑ ´í6ͧ¤Ígªì`ý?el7ÿÕÛ:ûµZfÏõÚ¢ûûyýÈ&ð³—dO‘ú\ßœ‹w®¤«:Ù1¹2­_§­/ZŒö¦ùcYÎ"9÷–á ͜ԜûŒ'-+ˬèúÐoì¿jª.£]7öýV×þj•ñ 3Û>P¦Æqå©è]¯žõYVN#ç -òO÷È#:µüY¸¶KÖ{žf”ÁmY¢¿[³wþ™™Ï X'Ïšß ã掿¸ømã½[D÷Ù'þgYí\^ú<,æoÔwÎ>îc-ËöÔœý¢Ávê•´},ö¯÷;sÊÏ¡>C0°ÍçÍÅo{zž:No÷ë¾{Öø§ß&º¶ñ5iú3N[S.à“»”zÏÈéû®p ¿>Éøô®¹¶km²ñ™7æÎ?Ž;w=å›Ðìï/û¥—+Œ„‰ß¦ñàíxÍÞå•æùýz¸¾±aMóš_9‘ö´¹Ò;ìËÐ7¶ò ‹×úúýÎ1°¿gŒÙ2×Ý'}´ºQ›zè9Çm™µc|þ˜†¹¼ŒcíþàSË*«Y¿ó‰!qr[ÿëûø€Scâ¶?w&.è(ÿhŒÇqä{Ç·˜7Of×áœÁË<ðÍìüíüz/ûƪג}õ½æ¹£vÜѺ­Ó’KǶƒæÌ+ŸÊ¿_xý O·ÃQÄ©ô° ÔdäPƒ¶BWìÊ‚kç¥Å‡Ï©w[¸ËöÙ4_\>æãvkruš,ÈgbïÒeçh–Ðß4žQÅößÖm\ ±;T¿=CWÚ¬½¹»/מóöÉëC}uãxë9?;ô8ó§¤9û¼»§·£Ã·ßë®y|<§é#kåeÜ猜?Íœý±¬£yÁ?,ú ]Ó|Èׯüû]y*Ö?®SfžDþ Améab?>òQ€M?QÆõ‹½ûa^=ò"6ÞAßà“¼è1Í÷pæ»ck¬ÚÑâO[Ç?î2ò󚣢yÁÛGóú <’æ}iP?N˲Œ£+öhÐû'€%Ô»nKŒ_É2ÇüG×|&b ñã>š¯Zj‘÷‡E¾¿Í{|Úó-~êÄóc¶¨Þ~P×ÍgýÀ“Cž_ö±èüڼ蓞jñ“VR·û~ºw¾¯Ú~r„¯2¦9άUøòvâ’®·ª¹ãÕ?::·sÑË,YXä–šÃghœw½W^»óìãY¯:šæ±Ÿí¤‹®ïõáñfíÏ mË"G߀惾îfó1/Ë"yòFï_~í­5Ë›ùÜ4âÜ7|€§aÂ1]ø-5‚IßâúZk¹oš ïu³Õ¯uÅÓ7W¾bb¬¼?.ŒÊ¦ùƒï+~ã­ ·ÖYÎ-ù}NkÛ2cËz×íŽû?dâzN<­©þÖ·ÖÍ¢w¹Ë“éÂÄ‚>ž·kf^Ì)ûÍÿþ§¦¾»ÈÑòôûÀªlð߈ñ—Éí\xœy‡Õ©µ¥c(ßyûcÇÕ¦e§)oP{€ÕÔ¼øUY¯“Öi¨ßùˆÉl×'çØÖ¡+¦wÑùzÙX‘e7ð†¡û lj×Öå3q¯šNÍÞ?7ë_^èâÐ5ÏÿŽ›ïî?ûÔ¼õ¬}c¿k8½}}––§¥l6{óÀç.µß†×{6~ÐP}áIÈ™‘þáìŸø«õ™±ÞüœçvþÞ×Çvˆ®£ùðïz|YóBÓ|W/¬ÿÛýhc2F¶Ùúס6ðyñ)ºê1Vã’pØŠº¼ñ?=¹Šr—uŒïåš;é饔iÿ8žOù…M®i>ø³§~gk‘ž£?¹9™'ápÿ`Æ<Ç49Õl¾èѲ3–(Û¹ñÌëûúPÏ«ãmŠ>8Ú×µzµQNB0C¦¬cfùd™}p±ÇžY…½kTnø"·vÓ£¾èÎ#>½®ýsÒ7—>`Ô®>9tšþ¯ŸùŒ±]Ú=Lâ´c„›±„ØË.:屜²¿Ÿ¦­âÙ µkë²ÇœÒòß(/ÕÿÅUÄ„¡öÍ“Ž§:î£ndYyg__ûÀOöþw±D5]w+¯æÎmõåßóä¸?Þh~ꈓì³ÖkÖ_ñEØ_úèŒÇ÷¡­?Þ<õŸZþ’ñP‡èãû]~º^g/ [à$ŽVWË_™LSl'ÇiÚ|Ä.¯¬S„Å þðà6,ˆ71³ü[2+ס÷üË™¶‡eÙ'¦ãkÇâûwß÷½Úu›Ú7zµ­ÅõuÀ¸,3¯ûJÚ'þæÎ?ö[/ú/Þ?òë´>·Yû¯ß4ýÝçíÖú²K¿ØòõFÕÝú Üúæ}hßgû—9=wßR¾ö€q¬çvÍÛ4÷>:í½“ŒqZØÏu,ZM¿1•ó'üüÒÚtñ?<ÞÚ*gÍ'g¿ðõ{o|&ì<ÆS¦ÀH/ò%ßyølsÏïT—»¿©ûþÚ«çÃÃ~ÚüÁ¿W}fYyÁ×mÜßqÉ8–ã¾ ]k¿´ïÆ>®¶Æb_1âõv¾ç?c>kþÇŽ¾›:½iù+*Ø¿Õ\ äàjš-b¾le»–›Ã+Ë€_zÚð¶Û}a ozåuXrnÈ¢üñ‹ìÙ_÷ñ¢ó-Þ¥WÜh϶çü6&3'òÂLÑ{µ¿m~Ó{ôª닆ü÷ÚÖñ]µ<§ã:Ÿ©¡=íï¬wæ±Ëôµ 4g7oÖËø…÷3#ÿ,¼%ûûOûÞGæ–·;ôÕÅPn/|;ƾΠµsí#vÍ8–Æ"²ff{ÇdÝJbDæ˜oW‘÷ê°­ó岫–ë¸EÖµCp;óÀShžóÄÁa»†É”¡öÁÎ2V„½[ì¹fо×ÅÓp »ÖHãsÊÏ­Èæ¼êcïfc‹³·Ìòºöµ'í·|\Ç<Ø)Í}Ÿrcéõøc?½ú¶.K$Ë’?C_Ìâ!øçþÄ÷=‰O=9?j>µ‹Åþï½nvï1ðÆDÌwk—Yÿo½ç [½õôû¡Ó¼6¿]ýoæÕá÷ñc­~sïÇæz¯ƒFŽÛ;+fuPY×x|ÈóËÂC<‰£ê[º`ÎYGëXÓ{4ïþ›rp;zú¥´zÐõù×SÇkV¬S_œ¶ñxÆf`{æ=N'«õÕhî~îåöï¾±ï`Õ0C掣Xñ¾kkΚ #u™»oºéßÆýˆ‡Ä‚6Íö¢¡1^›ù7û}ÿÞÏœhë<ÊÄúŽ÷K—½–mÚD_°Ìã0ûäºcÿî.»äÞö¸~ôÒoÜ<ì‹žvž%á nSóo™ðyku)áK¶y×׌=÷É?4«¬•ÖSþuóì[Æ}ÁÛ9Û^9®—š‰_µñÊÑœ7ÿúú¼wŶvÍÒ.ç1Ÿ¼¡kÛ[Å.÷ŽcÔœË?Xõ7æ®ÛÀ87ô?µü´ Õe ¾€mŠxÔÂZ¦žÆ4878%¿F,Û>ñ2«Æö™w?¶ôz¬Â½dœ™vNižz¿§z=;`h»@†ôÅ+9 þ%­ŸÉªb$–}Ìk³®ðÌ­ÍÞ·-«Ìybp7~ù“CßéÝÆž{½¦¹ÿ‰îûÓ÷}æŽq½Y+×Vß½qÇ‹zÓÆD,Ù­=ͪ怙ñ\˜ÇÅ3'ŒýºOr‡-®µ9º¿W÷Õ«~sæ2Íü`Kð>ÉcÖ~]ùì‘þ}•qˆ#»F'aÖÑBßà+~˜NÕo¯ÿ£Ó~ׯ2¯Á¬y¨¥•Uû¡6WÿåĘ͚»O›Ï.sgóÿùø輂½móÁ´ê#¸Êybf½ÚܯKÀÕZd5ëÝfm홚ßdÖå\uXÂZÿ8Yë½!9Šf'é×Ùìüè¨ÍgüýëíÞlíÁxªx¦Ã>Û•Ëw™¸ŠÅ|ýG¾qfNÞ©åmÿlçûÇ[Ôl¾¢èÃÑý9ûµ‰­¤]§d®9 šBGwk,×_ñõ»ã÷汋Λæ–TZŠ.döw÷™}sÚŒßÿÑ7†}ëSþ§êoç.ÿ•Ae­0/ÓI]kª“\¿Wë9ÛÒGkCìÊ¿Ùç^ð¿\ïõýÐ?.bmÖ®?Öž[?Ššü;óµ{ëtå½ëõ˜oM8$¶}ˆ­ÙøßœÏÂ;ZÅJäÌÚõÏï5†E}ÆqE´oîZ§ïÏX›ZÎwå›å'7tžœÐÏ°ýŒtÈ=|ÁÇñ]j¹»çÉÉqRGs×?qXµ£o °ñMÍkssвÖ5=ôPŸlº³â.j}Þœù;9_‹–}ôñYoW­b6éðNP÷Q­ÓÚÇ<{Òu˜YÇgeŽ½asvçéãÎ/0ãën|òãƒdÝŸ9±Æìò‘ižóõ‹·±çº§+¦rž½asÇ÷<°pç”G]1çÍÎïyf®:ŒéÆW9¨.Ǹòï<ÿEßéZóϲ­ÎòùèôI_±ŸÈ¬5mbëŽùo/â?ÔÆ ×ì¡Í‹_×[5zþý^Çñ£Æiö“yý¬§ÅQucJÝžØ%mšXvüÎ(×Æ1c‡·r2cW7ŸøîÌ¿¹ö?Ý]ǺlïúmQ?¸ÍÝÞbõo¾ñcÆïÕô0£çcÝ4î·Ö¯acà ѧžoÇ.ÎÍÙgnmØ{Ù†øLÍ¿xk}³ö“gq+w¦åˆ-òÅ:ÊsTÚhïøöÑú/s€µ¾iøÎá 1n›¡eÍ«¯Ø^ò÷%äÊçï®ù¿kÞìÿ®Çòï)¸}öͺ® æw¢ü×ûÍÚÆ®²~Ë8Ö¿þÓ§·a †B×:”qÅ>.‚iº„¹Ãe4ÿæ¹E}OÓ±(¾í8¾ÓqÞó Á7:i\¨©u›‚sÒ¬}þ£}Ë9ʇ¾ùsK«ÛŒ>nšÝ¯YÖ·jÇø\1 k®i®½ûÊê°œgÞô`g_/j£¬áo/‹'Ú5Û<9/ngÜÀYÇ86U¶÷ÝþÀa‘cdÎü°óÊíæì/_ŸùÌ»8Nò2ŽUä®;m¼PÍMwæÓŽµkoyÙaŸ÷Œu™'?ÁøÁ8,²–œZþ”8ZÛ¿×~ø«v;Ÿ»µîòþ¡y¯çþãUÔ·v¬*Þn|ž]Eì±Yel]ûÛ7Nº½Û;ÿµkï×¥‹ô|Õµè®Ë½_5q-ûZ—ЪpÊfú5Ä™¯ùü-RÿvßÚ΃µ9cãã_3sý†¿ƒsv/æÙ8óÄè|×ïMcƒÊï£eæ²n¶þzÕVR}gaS9;¯®iTÞŠâ¬Wu$®ÎßÄÞù3š½×­÷Ø<€ü9ILµ6+ôÖ¬?yØÏÛïqbu\YÛçà—UÌYécБS·†÷<Ž“Ó4¿ïøí$ãhñ©è¬{ž/çÀ0ß–¹Û20GÈQý¦üV›¶¿†Î×mü@¯Üe­Ù:ÿVN-KNÜÛ,¿¢ÖתÓÿw ÞÈ?` ùpÒvóâW,¥ÍSlèù“ÀÕªäŸ^vŒvg¬ä8ÎÙ­±º]p¥«mœC‚«ÛëÙ9w’8îÍó¾íT×à°óú!?üœg®ëÀø•¾´Ö4¯›j;˜x¶õ9­åϪÈÂ*†ß˜MyNß"ǪýêŽÚ?ŒÏjrµïï+oO-¶ Í'u̱Tó«Äl6õu# ¡[G›/}ä‚Ÿú­yñ8òO´µ§Þw©}p¸ Óô^™›íÂ×<ÁÞ¹/ÍöÉ­Ò¦›kÏgÞãÏöꃓÈçÓ\ý¸Ý¹Ê]1vÌÔÜðûÏ>Õ·œ¾¸͹ÿ­hÏÑ·,`–yâQ×n0fkg9mNóÛÔ*u:äÝ ûI§|¤_n?kñÙÏ~ß7<Ù}ëPÓün¬Q¬›ižûÚ¿¾êþ™Z¯9ò?Í:úà5kß?IÚúy΃YœïoÿâîÄõ™z|ÐûÇ„6ëXÕ¾tê^}A?iñIƒËR^‚ês}å¦ÍE½s+~«]¯M{¾K·Ô7ÿôÄ;·ÖÏ]8c}â>ˆc™´«Ʀö][6é-sa%圲8†¾:…6ÆaÞuøB¹#æŒéF·Ðüžß÷ôÄý1·³Æj•ùZ8 Y¯·S9c-¼J›æqÙ¶j6éfíï,͇¦i>è—f?Ó7jÖZh¡º|tg\ý²æï>xbÕºm~Þ3«j÷q§ëÓÇæ7½ÇD½Fú’%à÷Ó´u<ãô4ÂÇh~þµSËz¯}Ú嶺¾6±UÄ)6[ÿmfìû¢û‚Vo2MOÒÆ϶}ÎÀ ‡yãÄkxc÷~ù£‹´Õßèò+^će)õj~÷Bãy¬u½ÿ›žî¼? ?Í­ÿÆd_z»ÀS©¬KÐ_Ì:ºæWÖkí¿¾ñXÓb3—i\ÇIã^qÌÊiÑlüÚS½ÛÔÓæÐ<úæ…ê|æ[¾úÆÌo8ß÷åv*üÄÒG±¡Y{óDù]تÅ;3|?F99æôa)Ûö¾O}g"7ÉŠpú·SýèH¦ù+Íêë­¿üêþßYb.ÇÛÁvØÖÍå»1 æ£ZF á™m‹´H½‡ì#kþž½ß_û¨ ÌÙqùÛ4ÏßìßÞÓ3oZövÓüßV©¯ÛØÕÉöÍŠb®×‡×ãù÷ú¬æK«>l“ou'‰‘7ªSe]Òw Ð¥_™†#Õl^•ÛÜqÇcòHûêåq­Ù5Z â"š­?“ñÖËZSu~sïü3£Ø·Žo Ë«éNÎþÏo¾1-k(–×èÏÿô§Fç3Û»ËÆ¿XDîvíá=CìZïº\{àqÛ@Æóƒ.ËVjÝÌÙçÝ}âm/ê8eE¾ÌUèݽ†è½/.XæX¡±÷íþ +ï4Þ×ê-›‡?ÊÏŽ—¹ªúO|çÌWÌ—¯õo§Ÿ§a5ë¿q¦w™­ ´cþkÖî}bâzÎuÕúÖMí× Ü‹±65_öáÏϲÍ/ãh~zý[ßÐ׎8tŽœu´²¢k/×wÕPÁeŸ÷h"Ói>š÷üß‹:6wÿÊA{ž‰!º‚xëfã•KÙöÑ?m}ð —^ÿiÇ„Þ­†ñÕa: Ÿæ>Ç´µê¼>ç«ÎM°Êc&ŽKOûÈï ŒAóÈõeø Ž1j^qcð7Æ ôÕ©/#F~ZN®ñµÌDn»Æ™L|ýG_9q=îûÙ?÷¦e褋r#÷hÆ]œdnï)1Äjøfº q^÷Á«êgõÇÁ¿ÍÆO<>¨¼%æ2YãÕ­†ë»ªc|\Îüé¹õÿW=1Ô‡¯–C£m³÷·¾ý¯¯ÿÔçÛöø±,=l³ñ÷_¼Èû§áhí=‹â6¬ÂfTøÌŽñð¢¹jjÇæ]_3ÓæÔþK0ŧt/5[ßþìøu Û´k Ò¼ÿ;§Ö/Ÿ ÚúRü — ·oAo2Ó×á–ÜZD¿Ü7ÏMñžtâ¶6gþÃÎ,cL¯:O^èN[Á­qiÖž-p9[ýH³õ)|4ñýþûã8¸Íæ~fhÝ;Ëèû0ŠÉ›’_á]í˜6Fí\¸ôïUÆcëã̳§hîþþ—ÇÞ¶v¡¡å +*¿ÀûŸ«ís>Œäë<ŒÌé¾ù«3ÇeHÜoµŒ{ÿåÓƒßyäÕÕwÆuâ³ðµOâhþÊ+oL\?úçnÎ[Ö*ò Ü.GÓ|ëÔ~›ŠŸ²¨+W´÷”C×Ít2‡ïÀ¸¨bî9>Þ÷ô;œe¿mÛ¹hþ˜“>БÌŸÔ…©3kZ”qÂq=Í'|õÍÞ϶ø'ÿúëŸÅQôÁ€£½µÿ¿ù÷§¾uôîqä>:©£׉¸Þz£yóWåƒÏHæ6™±ŽŸ¦w½ÿÀçöo× ?œqß”“ŒïÁÿãv=¦õö¬ :Ÿ7ßC›û´‚ÖgüæYÛÔtŒÍæ_Öœ}i5^[§7›ýy»Yû?w«¿Íáë6>ßtåpYähsñæß³â¹ÇžÕk=Jﶇ<‚¡6-wrµmt«ôÓ\ïŽuÍJãî÷~ü`š=ÿ¤çûÁØ}k׆ç+Ók²Î9é£æϨîÄ@VlMóåOt[Š:­Øçol‘q?Ø…¾Ý|æë›Í ¶Ãä¼ü×½sGeÏã‹= î|+|ÇÆ÷ô3ÿÛ½£~nÞýó__óç¬ïª­ °«-Ãgá$æ•æ—¶«4Òâ°Ú¶ÝïRêŽ,;e¸F'qÌ‹É0QÆ Ç÷,ë˜gŸpZò”¬Ê6|šÓ*_jGŸy¯Ë†Õì¼ý±¥Ö#1'ŽÖ¼µ=ܼ¾mÇ©W9âþ_³þUGqx'ç8t=sL¸èßn>ö×{=k®y×Í#[üû€fçS{ň´>,ðÈ"ýÙÇvÝ4w<[Üëi³™ÕÍÚÍjþ¼IIazôàõ>>à¸^ãzC³‡ž¢Ùü¹¹úaÑ£ÝõÝSž¿ãýí‹Í`ù2$/û¿Ì‹4VeÓ|Ç›úø·¬²¯[ŒçV÷vKøÿà¨] Æ”võÃR°ênYóüû/î/h{YV®øÄê =éؾŠÚ}S–® × ¿˜þZMsÿõËôÅ%êsÌy–Vï3©÷x¯Áð˜ÃYö·Ópœ4ßí|,¿iY宪Nï ÇIû~LÔE6´UáÛßíÕ'½ÇZÖ1+>ä4ÿo—#mÆXÍÖO?Ó§Œ?cù±víq»çAähîzáÏŸt×¹²·ý6E0Wy ?¬Wæô3_æšoÖ>rš½ñ¸Žfãà ìÓüí}ûÍ™ï÷Œ…i^xýà¤Û:ëhu‹äí™Ù=öþ³l}í1Îí­ë¦R^WÌ_ó‘?øÔ\mÛÛz¾"Ÿ™#F{õ;áf^¯}l•Æ§¿ùñ7µ·bsÎ_üÈõÖçgP[؛ߢèŸjÏØžG÷*2©Õ8§JoÜÞÏý‘­Œ_–n«i®¼÷2Êñ1¯_ÁfÑÝ4}`³vf3áœpÏÊ_ï$lY]:ð.™Ã:«õ$Nˆù¡ˆÑ¹ó ž^†žkO¶uiüÎggɱN\Ê)>#`‰¯•Nƒnñì~bµÎY÷´‡ö9ZøÞ9lO0çû»Ò1¾.8÷ò—œx}N¤æÄŠí>mý7î_ÚkÙùŽø¹Y[{f®v„<îklçÀ¾Èmˆ`üŽAû˜ýPÁSéŠ –¶Óñ8Úfã¾ÝUõÅÒpŠÛÜÅÓhûÜÌõ¦ù±g§ñØ<1¸‹`™5ß2÷»ÓŽ>zŠæ5ßx³óþü[{µ}, Íï9óÔàïÍ™cô¨¾‹ç[¶-fÜجù»-RVmÍÙlmx\ú„ßåÆÚÒ0ÚÕ¡Çkâù;žûfþîâÇó}åuî ùV^5ÍçT}×f³âΚ­É9 iž7¨ßænkfw…çk2›º¢ëêÄeZÆ^3ø¶v·cAkFë-Â~|Ñö,ãXæ¼Óîù6^µÞ9Æ'Ò¶ik™%ûW5ÍCÚ²üFš¿­³œY¾Æ·ƒm~{¾û¾q¾ošoØ]e»Vi³šv´ýÙÆžùÚ}²=ªÏÍa—mõ¶ãvÙqÙßö->–}ôSóæ7oõ#[Ò€=\³qóQßë‹{Ú…}±ù‰?}ê;w|PÒ@_]¾Ç…Ñ\|ã—‹vöz/b…–•}îúÏ ç¦ù¸gO´~Ñ?͹Ïx¢ømš­¡§_rÚ3ûØ$‚&›+_±Ô1ë³Ïš—ï«åÜy0øÊÚl•X`}Ú}š|ÐO£ÏëxlNŸ˜èikðeáœæ£È-µèÁ¶ñ²U7/ö\ÁELÖ’ârNóaß™cùæ°‰:u*=ò.̓ãÝ•'¡Ùøÿ~¦¸7 ¥ùû_5Ñä¬ZÅÑ%×Øß/‚¿”œØ}ÖDÍGvâãüvÃJš[jýÓ¬}í»O\/Ã`ý½¿òú¢eÌ:j9 ú·ûøqo7?òo}ÿýßyÃvêæîçGÝ&s¥ßîǸ ÷tnËyç¶\•îŸ=ÁPŒÇæk N×¼ö¼šŸæ<þ}íã’ýsq–˜Ì‡÷W£3¸íóÄâ?úæ©¿Oègè„ký3úí%_úøÔw?ýwwÖ½oÜT¯¶Vøo^ÿÂ>þì£ò§ø´Ör7oì¿jú¸ ÔGÚNWÕµÌivRºÑÞm¯È¬æ‡óñâ^®i`«´kí×`™{ç6ÿáªbRG~Cø=½Ñ4ù0¨œÆ`èk›í»nn^ôIO[Ý?ìѽžÛøäÇç*ÿ…ßøô±´cç¯-”{mзz謚ÍoÞ_Ú÷BôÂÈÙø=Kûî­}ú²Ú¼´Ì£+÷Ï4YØœyÉ Ø´qŒäñ5Úú?¿úã8šÍßúÚ3ºîvýyZsUWÛPÑSž{öG'Ú1mORó÷iÎýÙ§óïæ3_ß«>ë¯ä×w_ÖüÙ¯øé[ùÕO¶8ÃË.»yÞ·uöéÜåÍé“m—!ù¹¦úm¼f¥þŽëOþÌd½OÐ~°qÇ‹ ú˜æ+g½Ñß+ö_®aE ‰–nü˜…‹×‰˜€W¾oÆŒü?>âúyNÝ´õÝ|C°Ïß•q¾o±—m^|£ù¥äÜmiq<žkÜãعµ·¼¬».c²µæ+7Ëج½ó™e´gÕÇ4ŒÝYúb\G1ËÇ€Õ{Tçß]z™ÿuVÛO£è,ÝróÓןªæc&çÖ_yzÐ7+ö·®chn¼ÛõèŠ)ë‹sÐ ¢ÑyŽ|²·û‘vç÷ý¥'óë¥%Äž˜›æž§ú>;¸-KðÕ«ù…®ÿâ·__´ìÓxŒû4ÍÏ…qc†æžï›»¯œ#gœ&NCÜoÓ¼`¦:±— 8w=ÇräÖ°„—…Ög/ì<ƒ[>óÉ™ï ˜ïñƒHaàdœýþ´ÃûêÞíØ”ö»¦ùÀ¢Ü®}Ùsi€Ý Ý÷÷Å è|ãßÝy ­xYû•iûêæþ+7¹×Æñ÷Á<ÉzN‰3è“›àv8Ò—¿ßså߬¦Aïtøa-ÓÖXË1¬?E¹*'ê6e­¼výóó·e`÷Wë0§¿H+¿†b¢ô=Véwß®šæÜÒqê˜7Y‡lÞõ5+©ïúLÉ[n\”¥}s–~¨‹?‘c³üyŸ7>ÿÖÖ|ãv•^æ˜~jëßþÀÌ>è²Ë4wÞ÷ýóôMw›†íšæ‘ë÷ÛXǭ˃s¸fþù?W}“‡°ÙyÛ 'ŸÿŽ7-£?†· ~ú5GmŒç9Úñ=íþPm¿5Γ|¡o.‰†FX‡û_Ÿù\G¼É­ S§/ó¬}ʼ™íZiãÊŃe´{™ÇP½isÇGõöájšk“>üKŒý:N›'~çv?V™Ë}Ç‘îé¿?Ú»Mè{çЯe>ª9qó+®¯ïþ Wm¿YƯÞyˆ»snMoRÃv8óo>ef]Š:¬ÿÆS£vüùo]iöÍ­7ÞÇuœ¤\šš‹bý§Ã¾óý4¼þãÀ±˜WO¼”ìäÏ{ð;Ÿíü}€Róð÷?zÜy¥É#ºþÆÿôdsöÓé£kmš÷ån±-dáº, »)°s¦¬/§Í]´¼ö²Ýêós×÷ÿô`æ3CËÃdYå~¯O¼Ò}×2ö1]v”yã š{?p·9óœÁ:èµfåi^ð§þ>ëÈ<1.­ŸÀuöqØ*n—c<qÞ3ÖÃi•YÁÚe!,àÈ—n{êÌ÷:ô{q¾cñÕã>{5_ÎeÅ, nä¾iš)ô³rvwÉì¾X|«À`>ÉøØñ|>uš¶~1çL[w·2tU6še³b»ºr­7ëßµÒ1<Θ¾t‘ξû®æK¾óà¸ÚT­Ã¼1ùsè–¥3j}ç»æ£V&¶øËøF– vBàÄö‘÷³Ú¹¬˜¡¶œ^˜ÈKöný㈇†O:ævj}gè†î/Çç«Q~¬1½@ê_ÿ«4Ð✦õÜDÝ:°RWú½è±Ó^}L9n—£i>챓®Ã¨ ä8 ù¥úÈÖ¬ï”}H³þ­éÖ¬mÏìÖW£x–¤fçÊu®á×ÞøXsýbµÎ#Ÿ„ÈcÙ»]ûóÉ!Ï=:sñ´¾˜-6Eë'öЫ¯·z†¦éŽ#<Žãh p¤¿8M2gYþ“Í…7ö’«Ž•éƒí7k =á¯?§/áPܺ¢s¬yNÒþðû'£¯}»Ëwk >åÔògØ@šæEo:<Ÿ\ÿWë6EnßnÇ4ÿçUùFÁ µP,ú OÃë›fÏo.ýFõ·Óp,j'»rÿLÓùŽò®A½\ëÇ7¿òfóÐ[mâvÒã2̯R´iÁØþyðØúÞ’ó,¥N§Üi|}¶ˆŸO_¯“§ÙùϬ½qtÞx¿w<Ù¯‡e¯{Ö¾ü{òÝyÇaš_ü2©1H·öª£cl¯6µ¬üí•ÕûÌMôë™ÝߺÞâM}ç;þäÍ^eÇX®ý­ÿ£×ós·a†Mjeß]0wBßù~éõó¹û¦Ac×׿ñP_p×·W›o·£õïéåÇtŠô¾…^zõøßÇÁõ‹;EfŸF¬”‰úM‰¨ñiͧÙøg{}sà|Ûÿz½þ~dó~7±oÞïüè|×Ï==óxØÓŽvï³ö=_r}Þ÷{·kýû&®C†wê’ïþ¯ÍÕ–ÀÎl6Ï¿ÝØÜ͇\<¬Ðå5w>õúEq”‡`föÁÈé+ïŒ3Ñœýáÿ}‘võèé75 c&ËŠõû¬µÍ8Îë»Ê˜éâ[kŸõø*Ëß÷}³kí4൜–£Yðýeâàβs¬B·2d-ØbPz^좻©eœ _FÓ|çÓ‹–±ª¸ø•´wù6¯îcˆmºw]Vƒ¶Üèïæ?~ߪ¾³²ú[l‹k?y¦úžçÜ6μf“\ÿ©Ïë_×>w±¶†oÜ.2níò]ŸZ^CÞê~å9+±}LÐV…ŸNÓ>pØ7}Û3õ<‡.§YûÂŽÞ/ý lgiý"V´ññ¯éW÷ði¾ø‰ÕßĦíã¯ÐÜý…½1Q—ÒÞÏùˆƒãüÞÊÛ³{ã;;ïwåýY¢Ýi|]8DÖÇQ[ôÁe_ÔÇfP=WŒ)Öl<çéêo×ßþÌqµsâ»k?qlynFßë‰Å¿Ð7»²ôèõ~O½Ñqcb6÷í±çî\J½§åÛ8å¶÷Î:ù\§MoÇIcG5ö¦—Ö~›+õÝúò!Ï·Ø!Ì•3mà=ió$°(§òTE.ÙO~hû=s ¬½ûÍ¥ÕñÖcbßWñy8wÏÇ–Ý?E]êâ?¿ý%¹g9®\[µ}ô¬ù«6/É)³ò¶ÃÜÚ7¯ÁÔ2:ô:}äÆ´˜ec™ž}ÞÝå3ÓüC—ˆ7Ø»ŽÁFÑLûmó¯ëÚh–þ´õŸêê“.½K˯µ8òe¶íözgÎ|£w{Üúô¶q?­/Þö/îN}vIyا~C²`„YØ ]G¶Y³6ƒ§YîÊ5ÄÖÓ|ôÞœúû’ôŸ}ñíœ3û¸|<ó{5lºfû—õ ûÖ.b?9Éo¿“_n@_Í¿Õ4ŸóES?fþÎ:,9/èàïßqþ óþ‹_5qZ¬Î|ÇÒ¦ŽõéxÎá…ËïÈmRÓg4w½!i°¹¶Õ‰m¼ÊÃóÆ­ Â'o^þäõ*VÏŠcRæáÏUúÆö®wøiÍ#³Ž+ÿÛ:µüMõçû·û4à ̬ãC¯õÕ¬|´Í ¯,í›=}ýÐÙC÷->OóŠ ƒêÑòñÒ°ß…-ÎáüãSËèÈ“¿õÜ- 7T[«5ëCo¶ëÑ¿¿ÝOƒŽ»–Skp;ño¾®ê?sÇ2ö<‹ø@Û/{лnjoq\9³šßû-r¡÷û+ô§´^aÞÃ.jsš¯ªÞ¿]Ž¡:”ixåå6Ÿ¼¹P½Z¼懱|—CŽ¡6ÓâÓ~ò uå™ùN¬åòZë¬E1QOÚßqÜNÝ7w\sî3žÕŸ`/®ê˜æ“ßÒ×,>že“7žF»·Zï¯ìüæ*p+ZClþoË¿ÿñ÷ÌUÆƯ=5ÄV×ß؇žOÓÚoÈ1‘ÃöîO®êEj{ÔfçÏL>·XÌ{–³~ßi8fÉÖïã´ÌcSë9$W¹[̼%¯áûøã5;]kùÐv³©þ.Í7ì.³ž½Û3khå߾ţÐÞ´5L›˜³£çoÉɵ_û‹K÷æÎ_¸iŸÏÛ"1¨Ì ´Ì¾ì¬gÏy±Å휥s‚¥×…áþ;ÇñÍîo½~Þwm_Ï2Œ™\c²tùGL}~A?Ùe­%ÑNÛ_·MñýìÏCÞmÖ>4c“Vþhv>e—ýWgz×ÎÜŽ·Ã1žÛ~êsKò‡¿Úuμú­!úd>û³[ë‰6ïB»¾­±ÇüG3èœq+‹í~gýë?}xßLÁŠ³o|k¢Zþ4Ýó2÷ì«Æ:XV\^³ö潞[`_Ù[ûþ‰øГˆ}ÔŽëÔ¡ù¿ò½%ìû <Úƒ—xCÐñÒÍ×]oš_zYñÞÞß¾^Ü[ÿK¯-îÍðU?)=p³¿5ª×ø`뻵ðyff9kÏyû™W|ä“ÍÖûߘõì̲ޭ™+i¬‘î ‡ùáÆég^òÚ½W º˜Zϭ˽rBŽçªó1m­Sò˜æïp»g¾å«{Ó˲ò1õþÞÀ=SÆ,;û¡>­™ßé¡`oV“©}í~«8Z_kG™ÚÆŽ¨å«È=üx¾Cã0û­½óÏ,ÚS¿wõù¯ØxÕúÜãÔG6-'ÑJÚ´`~¬ñ¼Ü³ŽVîý¾o˜»ÿŽó˜¶nýrOº~«ÔÑtƒòù³-sÕ1JÅ÷–÷6 Óê¤E|TšÇ~6Ûµ˜cz~éUæøku0ø‰÷)í¬ãÎúJ°áçöÁÙyã`l„æÁï|vmxW9j1óÊ‹eÛ7µÁ´úÄ>ulçÎV‹na|m;Mÿ²lýÊè{+ðïîãçßÜõà§/+§Ï´~éòCB&4[¯ÿ±ö\ó7èÚ[¶8&­mb–}©YßÏžæõ®ptõû²ñ®úà„Ün±µmnó¦Çs›w}M½_š|r‘ùvG»nõ«óú[-šƒ±k“~ï§ ÇÒÌX|Ç¥.Ñæyæàƒ·H¼Vóþ/~btŽ=ü¢ù„n—cÞX®fûÍèüè››Eöªm?7Í?q{‚ññËô·lÖ>æÙAÏŸ»ôóïSî3<Ë7û´Ç?,rÜnsöq¬£šw–øÜóîçW»Òú/q¾íëw’ßž›Œ½›÷€ÆÉkŸë;/Öò©ÏŒ‹™cØ<ó5ÿÓ¥•ç•-»¦³žWGô®zÜnø ë{ÿˆ&üˆÄp7Ÿõ½Ú;Ô§tUG—½7ã‚gáp¬=çí³ps›{_ðºõ7þ§¹h Y{節•Ë£8éµ/{ªéSÖÅ÷:ŒÅ»ç‘Æ×”¬mkëÌYkߌ“ÏQþD«È]Ý÷¨Í+5›ç4¿À^:¸1?§ñççÑ3ÚÎ9Ê«|ëÞ¸¿A³öwéWûæŠöZ£ËwpB6¼Ïgݬæ©Z‚Ž•x“Ìo\Çqâƒ4û_ïóœsŸ,z,ŠÍ±´öŸùîÌ•4ÁW-=a55kÞI×µ¨û,å"ØÚ=1-æÍÉÖg=ÞÆ®.%çÛµ­?7×{=cÉXÃàWÖêgù—OÌk/~rÚ³Ë:Ž s»ëèÃïËIJÅ;ÌÐÍ{ õ[_Åqþ›ù7çzoÖ\Ñ•Ÿ æO3DßØ|ȵѸ3hûÙxÌÌTÜÆK/»¿óþ?Rô Ç¡S’[n–qš¹k­®©†¶þ>ìñÎïmx(Mó‰?1U×Ó¾ÑWF5ë¯í´¯{þØž1ã~r-ŸãæMôìc/œð;éäÊ5wßü§ýX¦?ø(Æwºøò¸r¼/óRçYû«q›Û¼v­fó÷MýÆ\e6/J¼ÍOüù…Æ¿ÐYÌ8zg€¿öMú~®Xsñï=¹,ÿÌy¾XsïjÇIê>úÕ¯­Îw2m¯Ã:rý‡Ÿ_}¦vÌÔqU|uG¹"çÈk?õ[m™kŸ\Õ‡v­OûÌ_ì7&0×ÞùÌ2ë>w›_¸¶”¼¾ËÍQüºïj+èÄ m1¦ÅëôÞ\¸® øwôÕ)m~Îs{cšÎ¢=›åýRœ·ì$ŽeØÚcîÄÔ:¬}Úëk{¾z„UíÅSøÇŸ¸™÷Ætß}sú.¥._üÈRÆjáztè”Ú}Þª°lN¤Í‡=ÖbPƒC6¾¯œ ;}Ó|觌®?éÓnŽ¯š÷=ñÝžô¸ƒ½c맬ç¶3ž=ÿi×Söóéï³d<ÿq§eٽѩoýåW?Ym{›³` _k³ÿs2ÿîÂØÖdÌÈ7‰¼WSâöϽìí7îüÅ8|®ÇüÖW–7Í…¿×ï¹Åòov—9=ˆõNm_ö¶»ëÝyðíçÍW=Ÿ±Ê8èüÆû]óA_wsÙ룟Í9*ÏüéégFØÊ{ÿ ü%‹wiîmšßóIŽõW|Ñq|»øn‡?C_Ø'·àøÜs÷—uöo¯úœ{è3–Ö6öƒvDzþVOÛ&Òl¼±s؉Ùy=·.ðÞ·üùæ£Þð§2uϸšÖ><¢úæ÷¼ÑÊ‘Öf6Šý½ÅG-Î 6´ö]\{Þú·?pãìóîñÜÚ/ÿçƒj½BG9Îw}°Çkv.;Û„.@t= oÈÖé2cRùSéÍ¡#`_a;OÛÇ å¾ô¯?,gã-µ5RÍÔ~pM³÷§F9I»òyT|‚šµ¿úòÃw×¾‡÷ÃAëÕ¾å?Çøš†ñÔ¦~ùšæ ÇÙwÍÛCòú­Ò÷ æ÷Ú…7±ÐwV`ÿí~têrŸÿ% •9ÂÜ9ÿÒ›YÞÈv{î_.µÞ[?ýLçýÊÜskëξxòg:ëSo×r5ÍX‡´ú·™e¬ÝÔzô‘'«ŽÓjÞóÿüƒ«,p}¶q·9÷Ÿ¯/TFèˆ[ÜâkÇÎYJ9#|ò~>%}æÛ¥Ô)öJ[×þöh Üû½õx¶9ÿéûƒ¦Y~v(®Æ"1Aíb0¦öuïÍÝï÷åS?!¹=w{øÂÎò_ó õ±mis æŽ/[ëº?Žù3m=6î»Ü\}ÕWúöæWÞ’k­KyR> µuÉa>îÙc©Ãƒÿh­ï+V§Ë¯y™Çø©øö~Ú|Q/ŒÆ™þ]cú4tï÷Ž'§½3µ¼½e-oGþ¾dœ²Aõ=åþ=YÏž1I͹Ÿ|ªÏs]‡sF5—~ãæBužWG¸ý©O,òÝ…ê<«i± Ë°37ÿø{ª¿Í“3ãuÎ|£m>œEê2û5×úëzAu¯<#DzôoÍ]¯-ÚT³MÓþikšQž¢ÍŸSyÃäh—}½—Î{|äÍËOÏûî*eÛîÛc\ÿÞÜùïÞýDÚ5pÿ’´WÉé´ÈÑׇá¸}î›?þ|Ÿýmg.±ÛXO;Ëö?MvO‹}™ù]çD^÷†Øæ®óÙ§o,5Î|@›çͯ5íX~õ¢Ç¿’fí£zù0×|®›>ï¾è“ªctîÙ}²ó½×>0­LÖ\§I×3$/J¯òÖ~þñ•Õuü‚UöyëÇÐ…O0úm<¶/ì„Ó°jçÁ‰˜×þPÛÃÔr»7ÍÏŒlæÍÿæã–!MóO÷þî ã=Çǹõs­>×—«GîÓÞõšCÏÑÜñ>½òÍ·¶”vL©ßPûÝIÆêXé·^ò¥3ûµ9ó£xDÖüg~õß7w¼ò#nŒ~ûCß¼Úú-àï¾RêÆв÷K‹b-ó?4ï[ÿvuËÑêóëWo6þ]7_þ‡f¶gQÝÌÂm#wsOŒÙ"?k³ùôÔç—‰W1ËhïICõÕ]˜ÕÓŽµ_û‹×ËoÊ—æ©÷Üþ>þ£ï.Khì ië¼®9œ~ûÐÜ2÷«>Æuð`çÏ}0tZ=ûtcÿU‡¿ÉÞÓ+·ë½Ã2±èGq,·Ö·Ös΃ïV[ÛÏ °C÷ÆV£™þNÖ­ì}G¯zϬÃ}ÝÍõŸú¼Ã1š§;D/´j[ë¸ïqä dM4tÏ@¿Õõ÷žJ¬…fóO÷¦ø,õÛc>Õ}dD_~]Y}W¤k˜¥Ï7>êÆgÞ˜¸îµç3¾ë´Íů^ÉXœ¶£Æ«ŒûoþŸX`g ‰‰d¾lvþÚTLâÑ3·öü7Ú|Ç›f=Ÿï‘¿eŠÎ`Ú:¨¯ {oÍWÝY—ˆ âOwšŽYry†¸ÞÅ¿9Ýÿ¨WÚû-uúoßëñ¡<Ú†M-ëû3¿µûÉ ÷_Qæ1àƒ.§žÓ±ÒOë1ÂÁ9%6¦š¬šÇgwnÁÔ:Tò÷1ž7`åßZÿ±ÉøÆ >ãØò·ö0ÍöG.Ì£ƒòVÎÐá®Òf=ÒÌáÓàµÁIλ'…Úì|S/U{Ì3ožÆÜ-ÎkWÄׇ^l<ÎvPù×x¼ö[k;ž·Ü©ßœÑϵù¤¹ðœ©ï¡ß¸ÅdÚùþkcÅ2û#/¹9jÇÏ"xœÈÄylVÍ<ßÃSìÔG_ÍŸÛµ6jÖîéÙæÑ!œ̸iǹ—¿d¾ñ~ÿwî‹jYÿ—¾ëŠãʽ=¯í®yõæÒújTÞ“/\I{mØ'?ðqävœßiâý)sÂ(¯Ü1î1&üzn­çGñœ+Òë/â×Ûœý¥{?{‹¦ÙHïܺ9Ñ¿Ý9p–·—nýV&ÊžKR;–…;³,üΓ>Ú½ÔRrÎéã2Dæ7›?pct4¾yÐ7*ûžæó>þñEÛÝY®íœ‘W¸óÙyr8÷µÍ®Àÿ™¸M>Æó`Ï£Ûêƒqú„>¾Ÿúµ7&®cÝ0á3Ûá‡më¢ú—ož÷‰ƒ½¿Äù³OìÖ|åúÆÕüÄûÐë<>3Íæ=Þyçí­¢ÓŽšÏÃÆß½sbü{õ9ê5Ž;GÎÌú<ÿE7Oº3ë¸wþ™¹ß²>oûÙêX¼«ÙÏOã±(îî-!òóÓ~Ÿ•£¢(o€/òµuá’cEÎhëPã™õ»µ—EŽ%¶÷œëœq}/}Ô'¾ó8âÓ¦åÉ+žõÅ,½__ýö¬˜Å®¼é'u¢=æÁ°šÈû¾>Ø›s¿?'ÔϯzÜOy™>fËX.’§¢³NKŒ}šúßõÏ–²?žëÛÑïËØs§M¢W}þÅç>Ù§35ñXŒ{kÚÈc<¶þl6^ybþMóãU]÷BqéÂj?öv Á«÷á_A;‰c¨ïÍ"Ç*×(#Ÿ€±9i•¶¬Ñ÷®ÿÞÇVYþJ꼄ué 8Ë­?3öÜ,štž²YyË·q‰eÇÑêš{Þðhçow|ÏT\¨…¾Ûü[ƒõî7‹ûÏ}·§Vµþ˜†5Y·±}ê råq¬ÂvÙǸý´°,ˆ²èa¿Ÿß9*cxýâõ“®CQ§cX'÷ŠžµgXÏæücÿ&ÿž!Çú®i&ìQóÙ‰YÞ³Ô¼üÉÑ7Æs¡5Sú@ŸýÿšÉ{C샿Íö=ã{‘Ã|ßõ†yýëg­‹»}üuÛuìT]y ;¯Ù”7rY¹}óû3u7Ë›‡»ð‚Vq4gžè£×k6þõ×ô-|¶Þu¨`Ï“ï¯õI$^õš™ß²Ökõ/Í]ÿè©ÞßßÿçÑ/G;Ž{|¤ÿn ë·wñÐ$5¿Æ[“Ð_οÆö-â¯5¯Þ¹¹û­ÿË ç;äàÚ—Ï“ö™í…ô·LŸØEý:Í›ÍÚ•]·eQÎÞu™…Ý9‚OÓ1®Ë9³û[#šhîþõé›oL-c {¯kŸ†/Isæ5‡åo½ìÒ¬zuź.jÚ…©Ñ÷œú½×y‹Ú¦:˼µ6p?Þ´OÏÝý²‰6Näܾó#‹çoçƒq’—`Öúµ+^Á8†£ç†ä„ªÌ7ÍÚC¶©ÞåvÚ2Ž®9|ÜO·¿´y-§ý>Ê»2Ð~»Èz{,ðyŽ¡vä!þ!´Ÿç㘠ij6kgŽu:e-×êÉ›æþ'n'¿oæÚ©Ïô\5Íg¾>ÿ–mcîî2ìÍæ~fÐó=p€ÛùoÚžüŽ+¿Ù«_Šo¿þW'Ú;§ö˜â´'Ú=Ðt¼&æÿÐ?¬ý䙼ïO;ÚÜêÇíG²õo çq»WŸ}ϪŽeç&¬ù»÷Ý›¯bB>ŒÎßfaÜM‹MŸö:ÀYû±cŠm¿E…ßéëMl{ùáùsåð­«#ûÔ >í;wÞÜ"ö7¬sÜçÍú÷ÌóíÓt4g~âÉëOî´Ï‹ÕÐ×öÑ<ð¹=éáp½l½ô¨ìÙ˜˜¶îh¶Ÿ×«N5™Ö¼àþáÎûü‰›ÓâIšíÞ±&çîü墎ˈ ˜æ5¼¬úždž¸Î™¹Žëdȱñý]ŒQg½+:ß_¾ÐÙüûà.ÛçúwŽÛÿ_o.›>–¯6ï}9V;¿3Óè½ý?ýDõ·fïuSóœÂ< Óü÷ÆÇb¡˜©w{Ù,³Îq<Û=÷:tÿ‰q²ÎjÎý³¼o?飶'í‹ÿÙ®ïVæ1tãz–i{¼Þåöä¯q;1úúãÂþmcbz¯ÅOA.©¢NsÊÍ­óm¤sÍ:ï?;ûÓ‚Ï}¦ùcOÿ}ìïÛ æò´Í{~áK+ë„q‰ŸÌrV¨ëmÖŸþ ½On©[kµµo}é‰õõ2ŽEr8/­ ÊÞÖæÌ{üÙ·þ¼»iþã7\ßÿšöß×^ ý»~ðGFÿò|ç{þ]¿7Î÷ÅùÁjÿýðõã9Þ¿/Ê»?Ηâ>Ï_Šç/Åõ#ñå\ˆç¯Äwî‰3ÏïÄïçx?~¿×èÌý‡â¹}Õï||÷áÃß_úêM9ñû}zþ¡Jýöâ¹(ïúEú%®ïóõá¾Æ!Ë£¿¿ûÒ·Å÷/Æ™ï]Œç¯Æy_ßÛ‰û¼G}Ÿ{õý jÿ¦Æ‹þå»ç9C?QþCªãK}(/Þ»GÏSOêÅ÷è/ʇ®îÒøî¨~ŒôÏK]õÞkÊ./Ç÷i·Çù¡¸¦ÝÔ“~cl¹¤çéoäãÏw®ÐŽxþ‚®“¿éOÞ‹ë­x~Cõ¥^êèú¦Ÿ¡·«ºŸòHòƒçùöAoø…û”_A/)égêÃ8Aïq½§rùý¢Úa:¸¬qà»Ôw7ÎÈ›‹z?é+ž£磼:Š÷7ÚÅ8œ‹kè‘ß‘'ð|mù]0ÎÔþ¤ýôõ‡¨ߣ½´ úeü¸~DïQ>ß‹þyéÛ+ãvAýËý}—ó%ÑãýñÞjWÎk|Gü?>¨þd¯!÷^ú¬Êã|AýN»(Ÿuô¾ @ð…êãù…ö2>Üß×÷à×”K´/~GžSNm>ÏyW×”ÿ°ú•÷¡ž¿»R¯‹ªóãG=8ÓNß…¿ÈÉ\·Iþy=¤¼ªÈsž{Xõb]Cy<ïö˜/çKê7ÞG~#_r<â{Ðëγñ;ï]и0Ð7ýÁw/«ÔÉÏqíu ×÷©Ý¬Ó-oi?|qIß¡¯g· è[ãHýr}¤ïZ®ó~®Ïâ~®L¯â_ÊgœXÿd?j\“~âlùšëÕ—ùù_óËä#íâ{–Û5îµù'ù_üvQís{‘´ÇëUÆ;çŸ(z¯í›’¾á=wA×êÿFýVô‹øŽ~ô~ :‡¾©?gè~½ÊxHN0÷©9ŸÅïÅþTüJ}r~Šzäz:Öxð^®Gt†OÍÇÔ;×Ó¢kèþb~ôúÚ|ÝÑ–/çÕnúë]S.rÄý˜ôèöšõ}Æ™upŽ›ú'ù9×ô÷³=qßû8Ö©È'¾w—Ú‘ëÕ(‡ç_äÃU+õ}XõåwäÜN”³.zåœû+ͧ¼óUîssŸåCŸðã~¥ž¹~’œ§^¼o½×ôS®Wâ¹Ü÷Ãÿq ÿÒ.ï»Ô÷ý~êaÔ>ú‡þg~?Cÿj®Ù¯ïë| þôz >0ßÅ:î¥oU? ‡¡ßµ3åwܧݞor¾dã>ô ÓŸð?û+èÄóWÖ‹ö#×â÷}Ï|‘r+ÞÏýyüÿ[>ó|®/$ŸÐoäú+~gÝÆxÐOôÛ]úqæœ|!ùþ„ö0oQy^÷ZæþZgê݈Ÿà› j‡å½éá¢îs¦¿˜çáƒÔ§é}øq;ÎÌ7©OŒkäõ…žà«¤÷àƒwˆOræšvÇ5û}è¹Ï}ê½@WŒ“ù›ñà=Ú‰<ºWõƒî+ÙîÃóKß)yÂ<Ãx°ÛÑÞ}}ï~õGê_âšõ–ëG9–oüŽ)ô¡’§\{]cý{êËE_î?[M¿æ|×ð»Ëá=ÊK=YF}r½ï}#ßG>ð;úµMÕ¹^SyžO #Þ{H¿ÓÞWÙ.äõKò{<‡.é1®©ÔÏó:ý˜úÆçâ~®¿ãùÜÿi\à[3tÅwø>tüÌ}‹øÆö$~‡¼þ£>»ªŸùØöÆË|˜|÷4¹×óðãDý‘ã©r¸ïu,ãqÍþo‹û–¶¯P>ta¿ è‚q žÞwPÛKSß·Üv,Îô×|zÙâ{ä¸×ðrì@ï3;Œ;ó…¾ËøQ¿·*'íwªý¾yˆœ§þðiÚèÉÛ—m—@õ½¤ç¸~Dý—뽟ö%ú_ãË5óãOÿä<¬zÄý—þ7õ|w ÷²ßã9øŸùÄzkäô`yc»í¼¤þõ>ÝvVö¡–{Þ¿ÀÏÐ!ß³^ö»yï4’ÿiOÖy—í¢?û’Œ—íx¶›Ûïâ>µ—匿]ªð›í%žÏÐî"ÿù|§~bÐk WÒ΂¼`üè?ú?Úa}õyÑýe¿­Ôª½¹?}›Îà—´ó‰NO¹ÿÖød9’+Ö×d¹ç´Tè肾“ûTÚ'¹x·ÚGÿo G èQüFÿØ^c{E®Ä¼]¨>¹ŽR?@öbÒnå™ïƒ~^ú+’‹jç¶Ú™zѹ÷;’kÔÇëü\Ä5òÃrÞþ¬ƒÒDýC9÷©=ö{¢¿ò Ÿh€.R/!¾D®£=¯òSǵç ÆŸ÷­²_åZÏ›zÀI>I=NÚ§ãšïØ>ù~oà/É ö½?Û.¨_˜ŸsžRùÖƒçºsrœs¿ÇþÍ|–þ*j¿õnÖgP?øŸïîj¼X¯Ú.íyÌë”Kñ>å\Öwíoc;U®›¨‡î£†_¯Ssõãùkêèƒö2PŽíûöS¶]ògêo=ëv¯C BäÆ$Ý¥}‰ñ†>à+ì ©§Ðy\#©õ¦_m_Mÿ€x¹‘òžþ?¨·ø4ý4âÌú!åX”C?¥¿¦ä_êo,£ÚG}®j)÷ŒÊgSßa¹=‹ŸhÚW‘ ”÷™wìò€¾ƒß±ý­¦Ÿ¿-õ‹÷;” ½å|gû“Ш=)'D·È —+zuÿÙîa¹ú>Æ÷ §xÏ~—¶óæüÅuêk5¤?‘è‚ùÉþX¶Ï2>iÇP»½neÜÛŒs®{4~¶{ÍÚØ_)íÀñ;ëqïç ÿ/½—üŽÔx;~ãA}/÷Sj‡ýríï|à~ç÷âšòs¾Vý/ªÿ\®õo©?#O¢¿RŸƒÇŽÀ8Ã/öóG>Ù?qØU}<ßfüO€NjzRÓ¯ç‘óºïäws\¨W–'zK¹gìyŽ—9¯ö%?!g$OÔ}_Û¿’þÊ8‚xŽþ½Kýo½ rËþ¦Û5‘«Ð!¿C÷Þ'°>Ú]!¼nß׵퀩çüJÿ¹¸f~sœNÆ5ˆ¾öŸ´½Æz¤ìƾÒw.«œôç\P?dÿJÓÿÙâGøÙõæ9è$õ^Ðt'ù [_B»Ñ;0>û'=Ÿ~­êÊIýXœ ½ ÏE9×âLûÓþ>ÙŸ¹¿:Ðó«|êŸû$•gÿÛ«Tï´'< 3ò²ð—üBîد ~cŒú{ýqAõ4ÿzž§Þð1ú ÊaÅxÑï÷©Þi¿`<ÄGÖ¥œæ;¶£ðþ=Ç÷áÛ\Çš¯ÅÞo¦IœÓo1¾³íó¾™þƒÏ/‰ž—ñ#ñ;ÏÃWÐõ`ü3.ú‹³÷ý…ÿr”ö@_úÝôÝÔä„õr©ÿeœÍ´›úŠ.á'÷;ßÍýãc9gû•íª^ô+ë« ñqê•Õ¯^÷ç>WtC»à£=µ×ò7ýЩü}Bïö—O?Ñüqä’g)7â>gÝ]AŒKî%/rý¦~Cd<™ú©°/j¾p¼üÚß'ýâœë’8§Ü‹³õ½Ð rÄûLëGÒ>N¿[µÓ~€öò~ÒúUêc=¡çiêË:Áñ)öæšöÃWW5Þ¬ŸˆS±ÃþÝ^Ÿ[‘t­z¤~=ÎŽó‡.©¿¼~÷r=b? ëàêŸ~ïâ÷ôßPÿØ_Ãzÿ«jgÐ{Æ‘šN.ª|ûGÚŸ'ÇOôXÈ ø›y,~‡ÿ÷5^ô·õªÞÇð>üIÿ2þqÍ|Æu®÷_è z…îTëál§q¹Ö§z‰ç±G@?è-’ß[®» «¸fŸéõó<úU¿´ÓϦ{}¾´]1÷ ô_ÜßÏ¢=ö+¥¿× ê/Þsœé—þð:(÷ÃЧæË)ëlÏâ;Ö£ÚßÁz_ÛÍsß×Ì^ÏØ^‹<θ è¯R?ëë¯êÚz<è¹™ö\ñ…åtovU?Ç•Ú¾c¿èó>•ïøëSïÛ_ß~²çô¾ŸúDøCüϸoÐO“ü^´=GêÁãÚvÈŒëßµO½ÛE•g¿ ×3õŽ´×ýÏ[ooÿ#ã9ØÞT‹ÓcœR¦ñò>×þ;Þ‡ì©|ÏOð1ýš~üGã;ÙÏ:tÜ(ëÇ­¦}’öªÝöϣߨG®ËÅ7ž¯RÊ8¿ñ»ãçRNÅñÏ8Ê¡]¢+¯¯­_ó:þØV}­×J{+¿Wøñe°)ºà»é'~XΑ=!~·ÿOŽWœ³ÆÍþ®>ÓÉÿÈGè¾U9Ž#c?E?2o@ßôãÕÏöLÛ3~_ßËý®ä£ã +ô“q˜çì§Fyè]kû6î³~°ý§ÒÉ÷Ð%åCoš ~å9ñã™ííý¸×¿Ðÿ–Þ³íY—ÔÚM=)×8é7Ïø¨¿ì‡’ã*ºðºËûøˆzP¿‡ôþ®Úaúð>9ýk<~æ—8§Ÿ¦èÛ¸ö#Ëu¾ÆEò$ãéwê}Ní¥ú…ñ§?᫵'ýDãìñ1žŠñ7šø¿TäßqœIÍ_.û[ý•x+zßóŒqf¼/-âUèøKåOˆuÇ#._|ãõmÆ'Bï”Ë}øPrÚýl{g±®­Œ7ûBêc½ý¾c¼0ïß¼Ž4å&½3~ñ{úmAgšïì”ú•C½½£|úŸ¹?ÑøRo¯ÿéOãLÙϬÀùâ{ñœùÝzoó±ñ í?Ås5½ŠýïÑsðwÆ/Kx~ó<œýåó”ø~1ýî©ü”׌‹ä´×çŽ;A/‘ûÞ‡nâL¤þ7®™OìOSàü0þÜrŒ‹’r~P¿WlWå]Ö{ô—ãêrý):Lÿíø½ïÆó÷ê}úÏú#è×r:Ïqà~”SØ% ?ñŸý2iŸÇ‡z¦®3Ž‡ò©‡øŠõîy÷GÔ‡~g~yPååzÊý%~Hºf¼ÕϬk=_Ùn»íc{ºfü¡Ö!«=ÆNÿÙÃó‘}>Þ³]zc=iœ­´>—û£ÔŸ‰=Ð× #èDüšûD§ý–xßô›ã'~·¿“ñ32žƒnjò•ïÛbOÏ%^ˆÆñÊ8Cýž~XqnâwÆßþ'ô«ñ%ÑÏ;N5Æ=éÂ|çxBÇ_6ããwÞó¾Üëiú‰õŽõ†ün=ýo?Ö¶_8¾#õSô7õŒköá^'‰Þ­w4Žå[`;¯ã†'Nt ßZ?îu„q",O‹v‹žÍoÞwÛŸ½sâ…Ò>õ‡þ¡«¬w¼Üfü,§7Õ/”ãøNÚ›qHŒøºu?g¼wœ½n`Ü=ÿyþD.›Þ.©>ŽWµ]ÞûpÎÞÇzg;kâxK®$Åóö¥?gg?;?—ò>®½®H?5úO|àõ©ñðmÒè‘÷ÒBç’ÃŽÛÛZëyÉv%ë¹­J9Ï{^µ¿zÆ›!×4~ÆÉÈõ›úyWí„_Çb;õO=†Ú“íb\TÊõºÊãlþ÷|åøvú1ã³4@'¬‹RO ñ¡~Žÿ7Ÿ[l«ßò=ÉÃ]è&ž¿Ï3žÞwó^ê­Õ¯^Ûß•q‡Ž/ªŒjý*õG¿L»rß‚œR;©çõ‹q©ïÕû5¿ÛMa\}û‘¤ÿßQ¹ô7tm?väé}Çû ëÑŒ á¸úÁxÎi'Ð|Áû;ð™Æ%qŽ¡Ÿ¸o|¨‡Ôîܯ‹ÎΫ\¯²þñÜUÕ×þiÖ‡Ðßéÿ}ê}oî›âŒ¼¿ªß=ïçº]ýŽ²?'÷k8¿µü*öÏe ŸÛ~i\°"nŽïG9æÛÄ#¤œ¸ q4>r‹v¿Ì_Ž‹Ëñ†â~cËøŵã-Œ‹›zÁ(?ã˜Ô~Ç»æúSü`~ûzßšã¦þJ»|œsà¸ÛëP½3¾)ÎŽoó¼fÿ¾ «ŒãθSê—ÕþòÞþ:ðgâ™Ä™òYwnˆï²ýŒü:Ù¯‰¯b»¢ù¾–G%ý#á#t€]Øë®Éþ,÷qM;í/hÓ¥ãÂkùe'$¾G}Mgª|ï/ÏLr—zØÜù ì_`œÞ\W¨=±är…õ‚õò^ÿ[Î@wÆ7µŸ§÷ÃƱ2¾½ý„è?ÛŽžÊñ€~ OæÞ}$~ŸäÝž¾_àÔH>¤Þ…vMòá‘_Püžù¹ Sú?î§^3¾c¿ë·àãÄ疜ṭ¸Nû™êc?éĉ1}ªÆ;u¼YÎ ’^×9ÞÌxÆ‹„ïY¯¤?»¾ãýóƒúý.7ãqIí€Îc}°qà£;ÔökÌùYïmˆo9;~Ð~Bô·ã’¨í¹¨z~0qF¾Á÷×âú@í0¾‡ûë’úÑ¿[Oá8~è¸á;â/ë8o3Îñ^â¾jÞfžµ_'õN?BÉ·,W¿'î?õe5nÆ-`Ýó8‹ß=&¼äå ¿igÊûøÝúGã±™ ÜäL<ŸñÂâÛ3ê§ô›Šß‘w»âWûۮ⸠¯? çÔ{i^ œÄ…ŒkûÙ8õt<©ýFý^ó‡ÍýúÇr}OïY?”úOÆ'ÎΓ•÷%=ŸÙoÃþBÖû×ë2n÷×´«m<•bÿ"¾A®/ônÕßøiG‰kÅý8;Ыó®8Âö5Û!rjygçÁ-ü¾ã½+êãŽÛNÏ}·›ñ ¿­gæwûw߀ûГqx+îǽ öྒྷõ’Æ'(â7â:ýÁT¾÷·ï;ÞÏxãiÑ÷ïÒ8ø=Ç3S/Çgœ6ô)úà;{ëÛíGë8ï³3ÎKürzŒûi×E~XÞÀ/ÈSê%>p\¶ãz¶ù:‹s®ëÄçŽ7M=­ø™q7Ž¬qkåŸ[ø 9¾Ñ8ßwª·¿æïìüÃîgÆÉ~Ôwª<ï/öT?ÆÓþ#Îÿg;Ší”c\'óëUêeœhè:5=Û_ˆï:ߟõ ÖSšþoäö Gé?ëóàë‡i<æ-ë‡)Ïy”kÆÕô~ßëWÛoŒçëyÖû êc¹ä<¯”g;‰ýŒSÞÓ/Ð피gýjüQû+äþ/Ê7N¯é›úr6];΂rÒÿbòœë¢ô“Q?f<šÆÃøg‰ï×ö·_¶õdöI? è7Îé·Çïñ|îs<>’G…~Eõ²NŽ‹úÙû½Œ?Bĵõ;ŽÛ£|ÊÍ<â«k¢[Çãx¢3ëÿ-W¼NsÜÎŽæø‘ñ6ŸÐö“@.Ü©ûÞ·˜¾íÏ¥ñK:θϊ<É}“è$q)Už³¾Âþ¹Ž—ÝW8Ï»ýc#^ÌöÕÂ^Ïeœ…ÚÍ8C¿Ž·ñ¾%×ïÌjýt¿—x#È߸v¾çù¡=™gþ¡<ÉÁ+úÝó±ýmrü¸óù=Û=Ø/ ¯¤þ)×â}ëÝ©_úKh¼Œéõ¥÷Ѷ§À—™‡Bã]‹S6‘õ½¦“´×ÐOñ{ÆùÂß´Wýí<Égª¿íîÖWОFå¤=Èý Ý!¿5©?€®âyæíxŽöÕâõgëë¿%{]ê×7_Ã*ðÌD¹?­Ð•å’q=œ|.qR¬'¥?h·öCÙ®ýNÿÔò‡§ÿ¥å$ýH?@×ôôgp’¬gL=úÛö^òÏßÁø –<çü…ì#/ç³±íbÆÕ°>ßþTÆã3.*tí8ë­hó‚e~š¸¦]ÆiNÇ8[_ ½2ÿ¥^Pýb½r ÷$å›ø!ýÔŸÆ{t±ŸAŸþyâã@×ð¨rÞŠçÙŸ8žµæ?ìŸþÊuy”k½ í0>ˆí4´Ãë>ûódÜ=ãªþ0ƒzÏ~­9A7¢/ë¹rÿ0_\‹ßC–þÇÈÉ"Ï™ÎÖ“§ªÚ‰œ0¾iÆ Äs¬;r}ëÚúY㞨‡Šÿjâåå:]ãà|0ÌŽÿE8Ÿ t ]²¿º[åùièOõ«çù\ÿ©ý…pÜ7ý‡…õóV¹|øÃvRçO±Ý$í7ñ^î‹TNúOÓNÍ{iïá=ÕÛþ˜™ :GŽh|Ò:?¼Ÿë½ôÛç¨tá|pA§¹îsÞ;ûKšÏéï´ÁÐi\ñ_q Bÿéï-:MÕøzv܋盋qN?gú_ýa?&ãŽåú›qEnëyãºg·È§gÇÿ;þ<ûqûöÇ„^¬'q<ºq3ì§í|s‰C«vë}Ú%þÞw©Ž´ÞÅòÕóVæ¢<Ñ1ß7Någ^^ÆKßÏ8Tõ§í*Žë÷|SàÑÀ÷jw-_ˆó˜üqí¸GÇç×üXx ïú}Û—²ÿãyûGyåùÆzØÔ§‹Ol×s^ëc;^ÆÆ{È ö5Ö£9ÿKî«Ëñœ×ù©¿†Ïø‹zñ»úÙ~BöxX׎G¥¶ç§Ÿ(üÎYßOü6Þg<,Ÿâ9ûe:Žú¢~?§zJ®d>¿gѸñiߢ¾’g{ñ{®ƒÅ‡éß%>Fo–ë€(?Ÿƒ>èÑoÒe\[ßDùŽc¦~¹¿¤Œ£ÚQÃK7Ýr;Ê˸ø¸6.®è ½~¡w2®¥õc^yŸIÿ9¾ˆvÚâü*ö›sÜ£ý-(×úëWÑ÷G}ÛïÕóýjóÿª_uQõ÷:‡ï#/ôœãyé¯Ô?Æ )ìõqm?[ÛËm/ªÅûÑ{œígåýnÚ¡øß¡ÿ⹫•úú«xŽñ5Ž‡q™Ïãš~¹Æ¹÷xþ°ª×/–Ï釮úÙžK{ïR{ì‡m\mì™ÖßÚ^’ø^’“öÓº¤ç ‚8£Ç°ÞÆöðŒ“ÿz_bº³ŒýþÿÔþúî'û#ë9èXrŒþ°Çþ¶Ð³×9µ¼XÆËõ‚úsWôdÙô;S;ÿÍøW5®Æ3õ~ÉyD {R\'^C¼çx~þC¿¶ÛØÏɸ†ÎËbÿ$ž÷ºËú¶=ßûÇZ³÷“©b<$Í·–?üî¼eЃq%xž÷ïSû¼o¶½çk¸²{¯Ìç,zr|vî§ÅoþŽñìÿ˜ù)%ghŸ×¹ŠkãBŽÇ·_™ãSÀ~þÔ‹çŒ'–ëFÚ÷Km\"ï7›ŸíÓóŽw²ÿ°õ,™(~7¾ú¼‹j—í(ëyã‘8®>åè¨æ¯EÜý³ñ¼ã§czN¿.Êû¬óD×Îçf|Vۑ׈œÊxlGæY_Ü©vTåE\x¿ˆwÓx¤þ@õ·}Ú~zØsmŸp×|`ûçõŸår‘—Dücúò~­ð¯§žñ\âÏ!ÿã=ûÀÇÎwµ§z8ίæ˜ë ñcî»Å‰¢r­o°™ó}Û¾@ù¶Ø_ÌvÛ#§Z\VÊwÝ7N£íž‡Œ§á<Œ“q mßõºÁú™Ór)~wÞªÄWÒ¸qš',7í7j~Í8;æèFr.ã Õ>ûÍÁoÆź¤vs~Xï[ŸÆ8$¨ä£ý¡?û%¦¼ÑwŒ»ä¼SÔÓ¸pö@ŽBoÎCRèY£¼ ѳó‹gþQÑ]®W48îÐv¯ŒO¥]#ΦKêÉúÔþ‡è-Ω¼´›DýY/¥ýXõ÷º6í qv¾˜|/Ή!~³Ÿ«óyA×^gç¾0Ê£^ö»±<.â—âÚ~}ÜwüG½hÜjy¡)ÇöÇ's¾[õ·~Å~€ÞA'ôϵӸ7öÇåL=‰ƒL½O”—ëè@ôL9zßñùÄ™³0Î†í®™HügÜ;ã´Ú¿i›~­Èã.{t<¶qýŒ{bý¿óR2~Æ}̼êŸ"ϹêE;¹~Dõ¡Þ©çÔ8e\Ÿø?õ•âcËûßAOÆÝK»gÉ?ûSZnZ¯äõÆ·2ÎjG±Ï÷_½¥vY?œzñxÞûè¤ßx.×SñöWTÞE}7ýWуqÒ/ŒzHŽ^ƒ.èõ£òÍ%Ÿ&Þ1íŽ÷¢ŸÒÎj{¢åŽ÷‡ÖOØÎêü'¶Û_£ß$׌Ûj?Bã)&Þ¶êéýýêý©é‚q̼Vq?åÎŒŸóMP>ï9_RêEâþ¶®­OMWøÈùú2¯ò0îŸÓ80O7ßþ¶òÓIý ÏïÄïÐ÷Á´I믑oÞ·›¿Šü0ú^~9D?C?|Oý•ûæ(Ï~MÆU7¾»q®ø¾óÑÒ^Ö‰È1ø½ |a}]î/âwòt1¶ÛAŸ¦¿#…\µÞßûOû9îÄþÌ7§úÔðµéÇ;z>7ß÷—y„ïzÿhÿUïkYß{]åüµgt]èáØÏÎ~ÁEÜvÔÏöºóêïï÷UŸô3Ò{ÎWä8'è5ùMýô•t ½AÏ™]ß·>ŠúGþ¸¤òìo†\²Í8[9UÄ@´ßøÖWØ¿¾°|¾FýÔ¯^÷z›øGqf?á}.å93òÁy}cÆõ±ÿ·í\Ö3˜ží—dùh[ã {_Æ{Øõ7SÃÓ³ýÀþð¦?úÏþ ™'òéÑ—óÛç:…v>—ó¢×±Eþñ ôh\ *¾g\ê"7tª÷î=Wú‚o2:Œ³ó#8~¹æWf}§ó' zLœ µËþ‘öß0Çúé¥o{éùÚþ©Vÿ8F·¡s‘/ZtìçŒgWÄAê÷nšãÞ«õaÜÕ.ãÈ[¿•v\õòª‰r¹¶<¸Rw¨]Üߊû̉›Ï9žÀ¿óžq¡äð†è$óC‰o©õµÈ‡Fߥ]¬G¡ïu3®úJ®P>òlWåÒ~ü]7yNåØND»¼n>7ëõ½ó°òüúd¹¹v\í'~,×Ô~ÿñ_ò¿ÆÇzè6ñÍ¡³øýŒú…3å2>Љû>t~7îÛß…ïA‡çU®ó§=:®s_÷á3Ú?)_NŽ‡ù‹öRoüßï1ÿAß™_Mãã}Kæ•¥ÞqÎvÆÙ~Ö'"OROåx]G¿8/¥å&úæ9Ç=8ïãèu^K ÝÁ?ЇèˆòR¯åÑçe5~å8?Šãï2Î;¾gÿïSR/Èïq6ޙדÐqÃí÷gÿ9ÇñÔò€ï©_ÿGãbœMëÅsßH=âl¿¯Ì«%ù"¾8ò“£ÿ$‡s¾ªÜßW?¤ßã&ùI?û{–{”K?¦œeí±^Òx·¶;!ÿ§^Ä©Äsί±ÿÝW»ì'öÑÉ%}ÏqRöó†ÿ3.äðùŒÛ´?©ëoûƒí*ïßI}ŠêY‹gI»P<Ÿþ9j_×+9“ò/žO”xϸ5µ}½ó«§Ëù2?n\JÛ9-Ÿík,ã“{_a;uâJI^ÙÏÖù~Ø;4ô°÷9{]Rìë&Ïù—ñ‚^]¿ÌßÝÑó^w°÷iDÆÇv,Û7Šú2q½Ý3þ’ÿÞçZoŸëNÆ[ã ýaîóay™öhøCüdô‹Šç4~Gyaè·xžïmjœÏ Õ½¹å¥ãÇíOúzÍ< qq@’/ŒóžÊM'ä.ü¨~̸è3î3Þ÷«|ǧßÈëˆÚú‹y‚q°¾›vÕðG©üsIgðŒ·W䟌û…QôžzÅxÞyÝŒk|{ÇÍÛO?Æ+åˆížÇœ/Âv¿Äé=Úž`ÜÉGT¿Ÿ#ÿ^É'Ç›Öêq¾WØ‹¨ýßýÉ]øˆç´¯<òËçûqmý»÷[é'ƒ¼kç'K;ÆÕx¥gÕÎ;u Ý8&ío*ì^ð/׌ÏÇï¶ßx^¶ß,¿ÛŸ¼’Z?GÃýa9™qLñ{æ­Ðø;ÿ)ó)üåøOÇûù½ÑwÆqÇ{ö§ž¬Ï˜'¶à'Ö?ŒüçÔ¯jœYàII~°?÷Ï&δ“q5®u‘/PrÉøv^ÿPNö[\;ßÉùXß±ÿày)?õú=÷¢÷~ ýO ?êEûâÚöfúÕr<ãÊtμPwË û9§¹äçàúK|„žÔñŸôk ‡Ðq—¹_–(â,D'¶#9ÏqÆñtž!Ûïs,ùÃüžvYñ—çIïG½µÞÑóŒó•ÅxziûïÛÝyì¼?ð÷D)¯~ziü¯ÄŸ=Ññ|´Ëy¶½¾1.«õ"–g‰ƒ÷¯˜t‰î§é81Û¡OÝ¥œŠß7šþ¡Ÿ‘ë’Ƈ®íû½_MÜ`æø.~Ï<+È«8çzQtœþÔƒç%ïœgƒú$^||×ø“i/}eü‰øËúÑ”·ñ»÷QΓr(ž[×÷Sˆ_üH\Ì('íº±,å#í‘\0¾¥qe­ó¾6óOB/ôt'ù·¯zz¿jüBëÉ­75Ž”íu5=ý™ó1|Zù®íëžgkÿÄsêWû§ÝvX祴¾~pÞRË+û§ÙŽåü¢ž÷¼þwÜñÆmGqü¹ó´8Ÿ°ã‘ˬÿ϶û›ßÓ9Ÿ©ßèÇ}•—~¦*?íÎ’ö#.ð·õ}ä¼q—‚ßmóþÈqè^°ÎpÞcûÓgüÆËzMû#ïÇ8¶ÌcÖØ—ø#Q¾ñ,W¼ßs~3úÑëHêe½£óT{½Áws½Ã8Áê_Ö9Ž/s^fù•$®:û7ûÛo¨>Æ °?"ëûYÖðä ûôç€ÿ¡Cè¡"oÇMz_œtÞKÏç5| ïCìwnú°Þ)ãZD¯Èã$¾&íÿÄÆ°¤h§øzxþ3]Ó߬›‰S,â…]?ÑG£~¹¤vØOÌø%ÆEpü¸ýŠ¼/sž“o&¾s¾ÒγF}œ—³Ø7‰®ïQû§Zä½J¿Ê¸ß½¤ïùžã9Û#kþžöŸ½ç(~Bå³~¤¡;Çu9>Ðv’´Ë‹>s]«zŸ!ŸûžOœÈtoº´}Ìz+ãëϦš‡„÷xNßÙc¼$÷òNügœÇÛÿ5õÃ|/δ߸E|}šñ–œÿˆï³®æ}ã¿Ûþ`Æ•uœëÏ+Æ31ŽºíZÈ-ÖÉ×qf>ñ|ïq·=÷šú;ý3D÷Ö¯ÛïÐñ†ô7ëýþ„í2”›yK£<ïg‹–úlñ³û¯æd¼.êçx ÛQ Çߘ~a~vÜ´÷/´ËqÖ¦½ ~ß;žÕþœöK ηm€/ß7¾ç84ãħÞ@ôw§®Ý?élù*ù§¸œÄ/Bßmœ{ÕþB"y ¿>¬úÖüÈœç˜zÚõƒñBj~xÎOi?Uçû¶ýÆñÁÔ>Û•ì?k¿ZǵX?ìx=ûsÖôW¶Ç$}h|ÉUû!Â?×Ô-ç ½òý/·‡~Mü,ø+îÛ ¹È÷¢ŸŽâðâ}ã9y^Ê}™èÂqÈ%Ës_2ÿÙ¿Îxô›õ5ØEû¯šŠ8æ‡úÑ~zžÿÍçÅ<¿3>Γåørèp[ýÅuÆKþÛOÜq ÞßP^â!òrþ :BÏh¿"ï3l¥~Ìo5ÿKÛ“é﫪¿ñœGÞtM?9.Ûóåõ†ÎD¿¶SWÇönÇ©Ç×þ{ž=Z>]T^ÔûŽ+¡žÈ‘+E~UçL} ýNÿŠ?G^ä+à:Êñ>Âþ™öcuþ‘Ì›¡z[ßgÜóì¿Ãë#ºýÐNp– £ OçE³?ߣ¿¶D_—'¾ð|K9öÓA’øØgïS¬·v¿XîÒÔû.½gÿ`ËAêYË»b»¿íÞ÷‡ÓôåzÛÿïmP?úUüëú»>ÊSVäí }è]LÎÇe¿'ûåÁ‡ÎƒW‹W)ð„ô=ô)Îö€\ß:þ×x¾”ã<ôGâ­P¯8ÃW5ûã‚í_³¦ñÔþ¯ðß÷:1ó]i\m/ÌyAüåu&ãzŸ¾ëü –ïÞGå{~÷þÐôëøß̯£ññz)ýÌ£¾…zPË*ñ;ïc\sû³¥s”ç}‹í‹ÆGó}ãxïÓþ0Ž¯Ê~@.ÄuúµÆó¬ RŸ¡ë̤þˆqÍþJ¿Ñ(ú&ÿ™ó9Rä²ñÜÖ<ÈÇxŽzʸœÎ×Éz1óÇ{Ž7¢½ÛðW<Ç÷àcô&ôía¾Ò~/õ²¬W(ßykøyȫ¯Wòz<§þ¨åKÌ}ƒæ³"þ[òl_ýTÄ;R/•ã}¹ýiñåŠõwÜçû–‡ÐëN”ã8@ÛãŒSUøMNÒámý€÷SŽ¿s;X9¿èùÉçs~ðø@¶#ØžYô»ä0~~…þKãÎwwfÿè;ýÄ¡kê+zgû­¦øœzUøÜgç;·ÿaòwܧ©·PyIoŒ?í‰sÆóé9ö·ÎYìwÕô·å›ñ™îõó¢GÆÁqæ×5Üã4丙Þã;¯ýÁ_â#ç{§®Å}èšrœ—,ù<¾—ß׸×üiìoíy…ùÍûrãyœjþ€Þoø{éŸ"~µ=¾ðzÀùâÒNH½¢\Ûu¯hyhýª÷õŽ[5n)ýhû#ï1~¹/‹rÈ Í~w¿RËã܇Óî¸Ïx¯Ûvpø~Oû_\£'±_ãò úÓòÏë{ëQ™¿;…Þ¾–ÿöå{â[Ï_Ñî£<Ô?î¿-Ês¾ú‹þ±Ý+ñ¹høÛy‹¸Û zü¹Îx$ñ;¿›r_×ƶÞ(ýb%Ÿa>´¸àG³íDö/ò6©ö?wÕ¯é‡×ì_Ÿ;ÎÆs^<ã 8ÎÐù¼l±?…õ+Æá¹¢ûŽ›.ôL¢këÍ×ö×vþƬ'¿Ç¹¦÷Éuõ’|4Þ&í£¿<n‡ýïð¥ýl2ÎGô‘rº‚NÄGÆ!¤¾‰Bo’§ð‰÷ÑÉÐaÇÍÛ¿:Ú ¾ñ{úÑïñ\±~V9ðÛ5}'ãæã}dzÔü_¡Oç½M>”œ)òÀÌ ãP;žš~Íü+¢ãˆØŸÃ~ÄЯã&ìÏi}Ë:3¯:^ÒóŒñ†¡'¯ãœ·"ã}h·øÖó¹qÞ/7Ê5îÀ³qm¿Wú™ñp|‡ýà+è:†Ÿ¨Èó ]ú~\'N¯ÆÕûnãšA'Éïô£äO‘ÇOÏQŽé2ñ˜ÕE¨éúçZõ÷{èCå¸]õ{ð|ŸWèƒuü`»¿ãh¿CìÔÖ/y,ï8Û/Ë8<¶¯ZnÙÓyìÒï™zÆuâ9©ÞŽ{J¿eÉ+êoËQîs6N£þ­å©Jû=åÆsÆ2¾ãÝ'5ãÊã÷ŒSØ_Æù¯¬—I;¤èÎßÝxÝœþ»Œ¯æ1ÇŸÛÃ8Oîãi—Äq÷ƱÖíó|ìý´qNŠ¼*7ý±é/ä|ßõïÆe¨OÚõi'ã£vÓÖ›fxøKühÿ7Ûsìß½q~ú.û™É%ä rÉùþŒçÃ>•zm©¿Ó…ñ‰ï9¿w΢/ÛƒøžõZîêC;ݾçyŸWöû)èXòÉz Óå;^Âöëó ŸZ¸œã÷Ôp_|Ìw‡k\k÷S£å×ðd¸Ïºœß/Ƶóº¤}rãwä—üSŠ|Ò¦?ã#8.ѸSÆo·ýpÒ¯C|ÁÙ8³5½sæ½ˆß ? Õ›÷öUûYÚÈqu¶÷0þ™_üð\ä·4×pU˜ï¯é{¶ç8®w»"KOTágÇ{9o€íƽ¨Å!;.Îó“ãžœïÔøÈÖO¤½‚rã̾ õ»q¾þ3>-î;?*ãn»åÚOÆúƒÔŸÄ™õXâªÒnÑ…q¾ì×B9¹¾ˆ³ùFyåÒ>Î8§]þÖø^Ö5ýgUã¿#ÏcŽ{ªá½fÿJ8ÏóŒ×SÖÿÑÿ:×ðô¨¿×wŽ;õþ¢¶Îtןý#òzt†ó:ÞÒz×¼¯ùÕrÍv,¯G-gàŸ‹¢Gã$>~¼g~HÿGø\ô|õØŠkÛ»­O£ ÊÙÐu®wEwÖWzŸ–ü!~·ÿ¦ó³·ª†ïm<š\_Ág¢ÛÉt?÷‰zq·\ͼHâ žwžnë·Çlû>åSžqzm·pãW%_z~PwÓë žzùëÑ/’óðãküÆÁr†ïxž±]Ãû<Ê3ŽŠ×ÕÙÿâä‰ý¦'H¿ÃçŽÿ͸ºør€~廞­®åá¥?v¢<ž‡î·à‡øýZÜw\XÆGÒõ;ãÂïi‡Š³qYjxÀ…Ÿ€ø+ó©^1¾ô òËûhãÛÐû•z@oÞ§Ã?ÖãÐ/Îc™z=ï<£µ|”›y3D‡^/¦ßëáýô/²ŸnúÕ‹¯V;è÷»õžãÌœŸÎù@èoú#óF9ÆU0®²ñ„­xHý‰~Üú û'[Þ8Ž‡¶~Ëþ‚I_зΔ㸭Œ{‰çl_ç~ö³èˆ~JAê×Öû˜?í/ã|RöÇ6.¢õÀ‰Ó*yIû‘[Ä‹1د'Ç?®­÷užgãZg9~ÿ°ž¹ÿt¿ä>Uóý`|Ç™›î¬/ ®LÖ§˜·¬wU¾s¯êeüzÖÅ<¿Kÿkœ#z·êã<öï±_”ík[*¯__ÄÍd¼šú½ˆ“~øuÉ'ãZ©ÝOå8|Sò!õ;/Ÿõî¶çZ^Ã'Ž»sü0ÏYÎ$Ýé{Ž¸âú[þ1BOqŸñ+òÃ'Q^$~0_y½–ñ¬ñ¾ã ÿxQõð:Íñvö#/ô"q¾Sýz öØÜòÈ~“Ð|n»“ý„j¸+öužÝ´WŠ_Rÿ¯þ´_¸ñü}Ç8_GîÛã|-î£/ zN¿ ÇoÐOŽ{ðzÛûCú9Í:ÁzÅÌgêÇ8qf|2^$¾c;Ü5]§½V߇ïm_AÎf¼«ä~ê¢<Û‡½ØŸìçB̸xÿl}YÚQ5>öã=¯þ²½$ý E§9/Q¾ÞãŒ>9G½ 'áþ§<ßWýWú×ùKR&ùäý¿õþô§ã”ý\Ïý†ã §%ùNãZäiŒ÷yÏvÒ䧸†¾¼Ï@Ïv^õ²Ÿšíð¶ãPø!ý(WtnÜ/Ó[êÿÕNã©P®qPÒ¯PíMy Ýë{i¿Ð¸0îÆõ?åÊn–ëç MbèIüF=Œ×jûƒé3óÚ OÕ3õØ_çθ)ÕÏþäöË-ð ãšï;žá>—×Á.ÇþÇöû0þ¬ã*jvGûµ{œ-/¡“"ê𻙧3çSÉ'Ó;íe<3nœþRûRþÅ󉫨y÷¼/ÝVûRÏ.º¿ê~ýy¼R~ǵÛk|‘ä·¸ö~ŸrŠ<Á¢ úy'îCÏi'€^U¾ýðí÷yYß¡Î÷k½ºóÒ:ó³qõSßuÞ øÓù>rÀøqþ¬Ðm¡Ÿˆë Æ÷UÎ¥J¿Ñ¾Ô“ª§QrvK|h:qCã€{þ}Vòöf>Â(Ïyr}ïÑãQ_ÂëVè*óGKîØïÅûúÅ~ ¶Ï:å:ü©÷ì/ãøUèÃþێ׶}Ávlç5.€ñ#À³{«Úåõ«óþ?ËöFÇå>Tý€<4þGʧ(§æ—„ŸL¡7={?eýýG r «Ä>¼”/¹Æ÷DÖ³ä¾BòËûUÛ¡×Ì¥ßía¾‰qÏý"õfÝÇøD»sÿk? Ë…]gaT?³NÊõt(þ¡á#íÇrÝëuªý!2/«äQ‘9E=âwú›ò ý"ïkü3Ηúk<6Õoô¿ýÌ­ÿ´_õ6Ž°ùÙñ4—ÕnûKdœIÜ÷>ˆúÛ®i9g?ùÔÄyOíõ88j〣áýôæõÚ¶ÊK?õƒçäKâÁÒÿ¢‹Äa¼áëøþ>à}É=Çe¼r :“œÉx̸o»Ý½ê?Ç Óß~>õ6Ð|ÂxÇ÷lŸeNÜ|ÚÁøÄóÞ'ØÙq(5;¨ý ¬¶~vZÿlÜ}ëãl7tœŽëíý‰çSãÏ:I~Šß?>žƒ®¼n²q¾û‰g1íÛqm?¡Äo¢¿$Ϭ_óº2øÿH+9aGä´ãH#ŒKò9߃ù®ÆÉñ‡´#×ôã!>6nõ1þëÁóÆ9ÙÐ÷RÏ]Ä5ëRæ¡-õ›ý`œÑþœö—19Nz`^O}žó~ÅñpÔ—qs?—ys—ÆѸjŽ'µ}”~6ÞŠóÇÙÞ°¯vl뺖ÿ*é˜q EOŽkb]cüè]µ~I|”(—ýý„ÞÂþ(Ž,òžÅóŒ·óÐOÅø>ÎCmÿô‡ö|çÄ›å~E0É—âoû™ÙžPÃ-õú˜r©ã}‡ú—v#§‹õ«¾Ç8yÝSËgé|"¬Ïyϸ›öC0ÎQ çŠ~6€ó´4qŸvÛÊû"ïCø®ídÎSíÛöVógâ»élÿ&÷«íÇÙêƒññ2®Žö@7ÈõñF¼ÞB¡wþDÆS¥¿‚ä»í \Û^J{2_žÚ]ã[û·Ów¬³VêãÄgô'ótlÿ ¾ëx´”·<'yë<ÆÆ­µ_¹õ±EÞÑ—÷Ñì‘SÞçB¶ÃÕòz[Onÿdå¿*ìÌÆiãÚù”¶  ÍÞ¿Ûߎçù~#º |¯SéÊu~Jûg{l|5ã‰ÖüI©/úíÌ =@êw®]îa1Gó)ühÿô\çÑ–+’‡ð‘ñ×ÊwÐS_è0í ’ô;r(ý`âÌ|›ûè¸ïýuæé9¼Ÿv¹œ‡à[ÑAmå§_ŒùÃrž~¥|û+Ëëû§]-®'èõ¿ñC <}Éç½²ýÃúéÌ(ú´?ã¬rþ)û›xå89ëK¡û/Óñ“ÞO0ÐõÈ ï2/ôI?"ŸD_ün{µq{e_êc=IâvÇïéw ]sÍøˆþ¨|ü°ž7nHê·EŠ¯Ï¸ûô{Æ_ˆÎíÇ“y:ãþµ¸¦½;â'çw|‰çÿKïWíâ¼Æ]¤ŸGb»šíS–ïÜ÷º0ëI»h·Æ)÷ô<—ú³ýCŒÏ~٪Ǧêm½^ ×8ÿÆ'2^Nòí$}é³$7ŒO\Ëçšþ@ôwœßjÜLã÷¢_7Y>¤?ˆú×8U_¯ R¯ªþqùγ“z9½çuUÎ3úýÿ²ÞrÜ'ý–ñŠqMÿzéõ°ý^Œëå<-…+ž»Oýâø-ÛŸŸk½«í?ÞÇ Œ'ë¸ã¦÷Âþ”Щýa‘7E¾$õå÷Ѹ+Œ'ã켌¼—ò ÊM| ɵªßh\Ûã&ú;r!óËIú`ñ‡õ‰£þõ>Äñþè…½îƒß2>S|jùWПèy’ó®Æ…ïx¾Îq?B7…¿rܧákÇ‘xa9ÎøZÞØ~ ±NËõxîïEø³ã×Á¾›z»~öwCž;Ïø†è̸ތûûÕçzOtã8=ÆÁûnžç»Æ[„Ÿ¼^ËG 9fÿ‘ÔWÇ}Ë9¾w^íä=ÓýU¶EoŽ?µž#óŠÅsÎwt·Êõú“qfü)w‹vÄÙßw½Œ‡À8æïñ|ê¡%Œƒ`½iêOÄŸ9ßÆ9÷×ú®qÄ©g® â{ÆAMþ× ã ;ñ+å>\yÏþ-ÖG˜nîS9Žöɳ°s[/g=í&¯¼qØLÿÖŸd¾;½oÿ2LJXþÚÞi)ËCÇû{¿b¯w‹Cÿe¾Ñ¸¶ýËû.û3§;óë½WÝ?5|»Zû 7øúTûì×ä¼»Ö“y=EÚ¯Þ~êWUÇWde<ç<ÎÖßx}œz`Ñ·óAe=];/³óZØ×q„E^Q•ïüWηæ}üMyÞ:žÜtìø1ä“ãfÓ¿ú°œÔ³²Þ5ý9n9–q.¢?çóµ½×8ñégO½É]úÅúã‡õ]ûm]U;ô-È;Û9s] }Çs÷ªñ\úeщ_*y^äsúÝ©ú:ÎØüï8uÊ3]Õp‹œïÌ8®ŽßKœxÉiûwPû Ò~Ö3ÆJ<ñŸùËz»Â¯~q<ˆý×2ž ¹CÿB—ñ>|fºZÞ7ÏgÖo{|Y¿9~Æ~6¹^ݦ? íÔ¸§Ÿ¹è2ým$Ï'{â×]×Sýeœ'øÔ¸ƒÎkêl2}¯¾e^E.:þ<å ýåìAGñþ#ºÏ:Ä~é^¸$ª_Æ•Ð>Ó¹ÞË Ómîç%/œ$ý³â=ÎWuíuZÆŠï³\͵ýe 7(×;´StVäKd{oè8~‡~²_EéG-º¶ÿG!OT_øÛ~}¶Ë[/ê8+Û/<Þì_èWÇ[ÑØÓ>zxû猟‰òîU=mßØT½™Ÿh·qÃs={x.pw4Îø½Cò(í¥“ãPä;Îøãxzí«_(—ú[Îl«<Ç÷Íw¶ÃF9àõd3C§^ç§×ñHöK°?®ýþW弜‰ã&~°ž½–_¢–×Ñ8éàÜ¢Çuü}âü«¨/t}frü_Âúcç¯Ù‡ZÀ¼˜r y_Fý­Ï‡îà«gU_ì8ÈÑ”;‡¿çóö#ö¾Òqö³¶ž=é+Î΋dœµ¹b|{Ûiíï‹¿Á†èÅqJç)yèü¸Ž{ßØÙ•yéãýµIú+ö‰Æi´Þ›q€ï£‚ž‘þw>rûŸ5è¸ÐK‘õhÇÍøÆï^—:n÷ ÇåQ?ÏGôO!§ø®øm¾TyΓ`ÜÄø¹-yžý :ðþ×ëtûQŽívÆq¶\uûhÇ5Ú'¾´ßã’þ!º@?’~ôcœ3Ž@r»–Ézlç£ñºÇþ€Ô+î3žÖÛ{ŸyYõ€jö¦Ôð|.:H}b”—y·‘sWäðÝ*ŸþØRû »¼èÃö ®7õ}ÇEXøÏq\Æç°?˜ù•ïsN=ʱ^—~ÝWûK`œ:ãŽy?núJ¿îø}ƒñ’\H?mø9çÄ+ˆßÇH=¯¾Ö¸;?¶ãGÙyB½Ÿ±_"ã´®÷¨óŒ×Y¼gü&ãò§½‰ñž¤¯\g8oë)êýæ÷Ϲn§Wž3;ýFyοɵñ‚îP½ˆÓz[Ü7®(ãá8!ë1ƒfÜ_ü¬Øï1ùKüŸù0â~wͼ ~Ì8äã+z„î¿@tå¸ÇW]ÖwjøˆŽÛ£¿3n^ý:Ë~›ù½io”ë8 êk?ãÕÀgÎÓ¼©kû‰ñôïÌG‰×¥ñÊx ñ•ñiógY?‘zSµÃxƼ‡aÆõˆŸ—\òd_ã}dü%ßW?{¿D9Ò‡¥ß´íYÖ[Á'¶G[?â|^ïçœþö<8_–é͸ÛÔ+¾c}šý:Š<¢/úÃøšÜOü&ÕÏz'úOë°ÜG{Þ¹¤~Ê<¡ªOæ â ÝèÚý´+¹@Xïäø Ô?«}ŽåyÛ5Œ;f?4èòY?å9ß]{¤z?Ü~ÐÔ;óQÇySãá|lÐgÚ‡âÌüŸ~IÐuÜO|3¾¿Û_Ü~šÎ¯iüZøÛúÇs%‹>jãk|ZÇ£ÑÎôcŸ9?õ ~M|‚8Û¾c|WÛi˜Ï,WR%úwܲÏÆA3®eÚsãùÌ+õdþHúѸÚO×~dŽß§Ûcéç}‡ï_Õwíw,\¼B¿™q¬ðè©ÀE=1nö»pœrÒ±è(ñÓEÞO\£ŸT~âGÇuæ—b¼ãyÓ“ýj¸!Ž ¦Ý–ÖkÁ¯ioU»Œó(9ó†ý«¬ç³̸ŸÐ­q¬Šõ–ƾ¥?r¿Í÷â~ê Å?¬ÃŒ÷h=’õYÎ+éy}Gý–ñMQŽÇ½ ãá8ÑÔBðÇáùÇþ«ô_‘Øü Æ{ÎÇ{Yï¯Ôy¿ì'çùÚ¸“‰£ªß™‹ù^ãë8y㑦¿¡êeýQæˆò½¾ ò½^K|‡¸Fg.õãÆOzûàv¿ú߇ÇÙyÍ?Î)—Dÿ\ÃO|ßùØG8OCÚ%âÚxöô#÷íRЃø‰öaÿy«êo»î®êãu^âªÿí'îõôâý…ñ]Ï©Ös[êè yÆ8X?l½÷©—p°RÏb¿&úÅ~ëö×ôø{]h?éÌÿ×ÈWúÓö'ã"{ž¥Ü"ŽVõ`=o9zAõ‡¯íOå¼ ŽcâyÖcÆ ²¶é™õ¦ýß'&Ÿzç~ÎüâoÚã<µúöµ8?'ÎèíÇ4þ¬ã½îW¹´7ãÎõýÄ–ü°Üu>êœ'àOøHtí|\йã.l§tü§q™iGêtÍx:Žå@Ï%>Aœ¯V~gRËÇ^ø!«þZGñW“åçºÜ8Æ ·ý›ï5Œ·èýüäw²ÜZ>+äŠóM\d|E¿´ŸñwIôd²§¸­Îÿk|FûE$>@”ë|”G=©ŸärÇqJîwè…u†ür½žq†”£ù%ã0DWÖ¯OÚñQŽïðþ º¶<0®CÆ—ÇÙy6÷Õ¯¬[Ó?9¿§ýLã˜ùdèÉïÇlŸ·\±ß‹ãb2gÔÓãÝ$îœæ[ï§9;o1íô|•ýÎó“|™üî}.å0~Ôßüj}œql[èùÉë°Zž5ä ëÇ›9ÿCîk©ôÏ%þñäs¹^?€ßô^?-ù‘ò.žƒß×›ñ*j‡ý$ŒGžq8”Ç< ~J{õR$®¹ÚA=™g¯¤3ú%Þs\*ü’zz#t›ú.É×øB[q6Þ­q5¡Ã}µ3¿#¾3_;ÞÝ~¶³Ëo%÷qðýHœwÌû9è>p¼ðn\§^‹rÅïÆãºw²ži/¥¾”›8¸â/ãgS?÷Wê1õœýsŸgž«ù{Ønj?ã´àÏe=‰ÏÞ®Æ5㨠KúKtŸÇÉöîÂ/?~O}”ÊÍõ^œ¡gæœçD¯ö»3…×]΃Þc•þ›æ[Õ+é7Îé÷×ö£gœ’Õ¯\S¿ÔëÅï^×Ý£rlG®X.'‚çwÔOiϽäú‡~$M|ßyT¡‹kqM¿ÂŸ¦ß”—ð õ‹³ñ`r=]ª¶›C_9®j|·&ú€?(7ãìã:ýYÄïö'ãyÆÑø°Ž+÷üv—è&õùâ·‡ô;÷m·±½$çÅøÝzÈ\UÚg=«Ûk<û7Ù¯Çù¶2oŠúÓñöËöóiŽë=è>ÎÆ!0ÞLêýy¹KýEO¾>Py‰7\Ýï§À·?%í/“ö^èTýeºpü–õZŽ¶ÜEnä~Y|—rUíÍuõˆçàË­¸6ßP¾ý‘Ÿ!?ÒÃv3ã¢å»ç÷©te5ÇãÚÏ-õgQþõ×é5;•ñ{OáøJû1×6åˆä­ý²ŠùYýêyÕùpíïxÅ"/o…ÿÒ¯+~GÎg+t%úr^Ûgr½K»âyø'ý?%ß ;ç-0þÁC*~HþC¾êûÎkÄz¹`ý±íª?ì×f¹lüfç©w¾Ç©'¾J¼·`{'9cpÇÏÛn›¸`ñ¾õ¶öñzÄ~0ð)|½1nÎãàuKúI˜UÏ̯M{5ä™}6î#Ÿ©ô•úü(u&óãÀ{^Ç·ÄrÇqVÈãÔÖþ’™·>T¿À§»ê'ûi¦?sœ‘Ûž§7î8û±Rî¾ø;óÃÇ{Æk§þ‰Û¿_ÑsÆ3^õ€ßì¯n>DžXn|Ÿ­·‚3žätSäEŒß©Ÿý½ßÉ~‰ß-oRo~xNº/âò §¸ïõ+õµ‹åŽ÷µ^‡{_b½™ýìlß3îŸõºéתöÁ×^'Pç­±ÝÖúrëc>Éõ‘í…ö£ªåÿaÜm¿3Ž¯õ†öcw\ó‡ñíŒ;œzk÷wœáûõó¾ãƒ |è#îS/ë 3OTœïîx á9Ź>ŒO\x~q^Ó8XÞXŽ;ôeÕÃqm—Toë¹è/Î1îéœH=­¾c}÷Ãþ>íg\£ü_zQïô§Õ8Ño|ÿnÕûô ½ež¤x.q5ßxãwè-år’~„OèÇhÿzåwë{v%,¯¬¿tÞhÖ7ÖßÎóõ{Þ‡Ú.”ó†è×ûb?Ï÷˜G­§„~‘—E¼f\ã¯D÷åqßü»ß½ß8P}öToëñ®ª y×™¯9áù>Ñ:H¹]ÐŽ8gûÄ?E‰øÝåçøŠ~­¯æyãíÐcê (:Ýxž*ò2H>8^Ìy†‡"¯V\;¿„ýšky—½Ÿ¤~Ž‹ä=ãÅÚ9ñX$W¼Þ¾_í°<²Ÿkâhǵó÷æ{ñ{ÒcEžzþ÷zÅ8wÞï#O‘·n¯íf©o†þDOŽã°|«án Ÿ‘›ÆCñÆv;ã{fþ ÑQ´£ˆv<¢÷õ”s—úÑ8ö|?ñ÷£^Æar¾¸Â\Ï#רOæs–œ²ŸÎýD?«~{q.â¶ø¾è(ý5~Æ ²Ìq3éÇ/9b>Ä^i»›í`9OÅsƽ¶¿»÷ç¹ÎŒ3óÓª?ýµ«ú8/B¾x?íEÞ±¸o}3å‡Ò8ÄI’+«¾öïw˜/WÒëÃÔkêšqCbû¤ãy<$Ž(õŽ÷ CÞ³~˸Hçõ=û‰÷•~ÙÖø˜¾ò¬zå>Jtm?!Ïó\³þt~,¯wŒ³ï¸'ƺqÜŸñk•'¦ØG1ŽÎóÁµó®ë*ÕËy*Ño?ïí¨=[ñ¼õ1–Ož×Ó_Xãçu¦ó;y—E/iÒæ_û=ÔÞs¼¨ýnŒç•þQ¾üá3~Ëþ‰;ð§ø2×Qçû³¾‹užåºý2?Qœ…or„Ó­ïh½›ô±«þr~×}ÕÃñ‘ž7ØYÿbúp¹b~¬Ð½×KÆvûm¿Û‹ëš½~°¼³½Åñ6–“…þ¶6ß³þ˸é' :sü¯ýøŒ×Œ\qžnÚ…þz:n2ý7 3•—|®ö$?ªn ò+Îôq|sÿ®þñ~ÍyÉùOýoÜîw¨ˆ'‰käCú‡ªž^§§^Xý¿¡þ5¾–íäö´?¥íõÎ/žye(/¾c}œõ›Þgy¢KåÁK{ŸýŠlßvÛÎ8Ì¢7ϧUÏŒ7d\$_½.²¿¢qXR1®’ëŽÓ‹vÒ9¿Ø_Àx^´Ãx7Þ'4qm¿¬ÜE}(ÇrßGbüBçyúI½ƒóvìÁ'ñÞ߇nõ}Ï÷WÕߎ†~½ŸK:²Ä_|?ó[©=”‡žq±þÝøšÅ:Eõ´qÆ+ÇóÐgû9ÑŸ‰Ó-zŠßs}vNå`Oæ>×È#¿Ëï+ùÛúzçM*p0o¢ Ç‹Z ]²€®¯OíB®9Oê;©_Üw\üo¼Oð% è=õüQ.í‚~¼î²üð>Õq­Î7þs´Såz¾¿¦çrÄxE¹Ö?×â¬yPýný­×¹3ëÓܟƵñ`m×H>V;R¯¿'Þ è ¾¶½Úv7ã}¥ž]rÀùˆì7hûô;2=Å{È#Ç«[ŸëüK¹ÏS¹ø9¢Ûíy8år.®a;ñèégÇ Û믯ܿÈoûy ¹Ïg¾õ#÷¡ïglÿ©å{ò|“öÆøÝöûgÅùó¬5ž'ãa¿Õ+zÞãïy ÿ'盦^ÖÃ=¢ïÖôdŽG¸¤sâ B—ÐïIÛ¿Éôüɼ"êçk*×þ+WU|åuCsȸÃ':'G9ÈÑ=ݧ߬Gqüñ±¿÷½>2.ší˜Æ'°?¤ã·v¹æ÷8o«­ÿMÜC¾¿[?bœÛ±á§ÌÃ×Îaÿõ»tßö:ûÏãwÛ‡èÖ ôýnàžËxyÆ÷â|‡Ú•úÖxÞþ`Σ`¿ òÙáç¼ÅÔËù{,çìÿê¸Tä?ý—xÚê÷Äwß:®«À[‚ïã}ã9ݧçmÿ5?í€~/«ÿ3^ Îܧ}ðUâ«=™×Ptä8iã³fœEÜwþPûaÚ^`¤-øÿðwô¥ÈÜGĺ!÷}Ò¸»•ú@×Æg±.ÖÐEü^ÃE·3ýÚÿ~.â^  è[|D{Œ d\|û-﫽Ös¦<½:¾Ê¸uöóþÞ~ì—¸o>±$ým|딟´Ð¯YŸzÞý×öO§¿mOO½ åÆÙ~*¿¿;¿&ú°ôë_Y_íùÇtÉ÷7UãS9?ܾÚüÈüÂŒ·èÛñ‚^ÿm[óõ±}°¦÷Mþy}ù›øþPûŠx^#ë½Ì_‡\Œ³÷­ö_±Ÿ¶í*ÎwšùÐ%/2P\[_k¿ äoúsð}ó™®Sï ºªù£ðýÌ—«~v¼toÜ@ô¬;G¬˜ç÷Ôª<Æñ@ýš¸¹qM}bœó…ñä™—©—ñåƒM<—þÇñ¼ýë­?b<ÕÓþ›¶3B_Ôƒþsœ…óò¼ã×ôO9Îÿ–þ6q½£~µß ÷Í|Í:Àùc3~Kí®Ås¦ß¦Ú¡¸£#¼•g=·íõ¬ãwäøãzQûÓZÏ C—Ùê/áu:ßp‘ïð‚ÆÍtè¸o¾Ã|ÜÄwÐßÆy¼Í¿©÷‹÷<ÏTíqqNý½èýª¾Ã8RŸ\§ò=Æ[çÌûß3î)¿û”8'®)t¤~N}ü1I…ß1ýŸþ”ðaœá'#ôýëšWà'ãNÔòÞ÷8ñ/Tž×?Æí3ÎíKÆÇIüÚ'þ08žžqb¼×ãŸtì|yÎ{àu™÷öïpÜ—ãB¶Dö³¥ßŒ£Ä﹞“µ#ëzÛãïWÿØn²-º³Ãz-ûCÚŸÏúÛ{ï|ºÎãømÇs~˜ñü5ÕÓëaãz÷×ú€ÚwmŸôúuGß7¾dÖSóØ%õŸýN"|¿ÄzzHýìüÄÆ1t¾èÃy%2.Z|îxé¤SèFã }Yßb\¬ÄiˆçÒß)®½>f\™ÇÏiœxúÛ8éÏ,zËü°¢sä`®›áGè‡ñŽç½î4]åþ]ýçýëŸôÏ9/:ëÇišïr<*ãË~Æý–ô}ÄÙ8͉ ÿÄïÙ_ÔƒqP=ŒSV[oÙßÆtîüNŽï4_™_‡e¼UÊ5?×âE2îCýéxÅ"Þ=Þs>bêÍÙûûUYIÿ?-ý 5.¶SØÎè8Pè¼Èc)¾º_å:þÚq{´‡v[Þ÷ ¾Hœb•oÜ=äóŒ÷3ŒrË8ü»ºo=¶ý)/ó4ª}^—çzNr7ã¥Å_”c{õ·–‹Î; Ÿ'.Ÿä»õÛºŸë<ýŸr3ÎÈù˺oœÑóª—ç{ÞƒþX§oªÿGLûìÏa?Wσ֋8Ÿýá|éÇ&>†Îìo—y"â¾Çû¢Ú‘ò+î×¾J?¸ŠÂ>ì8(Úo|ëa¹o»´ãe¬¿Jûx¼çx[ÓqÚ­¨Güžtgø:ù[ýíx]ÇG_Tùi'NÅ—‰[¿³Ÿ¡^öç.ò–©~Ù¿šwöTžã™|f½µ¥úØŽË}Çs8îÜq8Ù?WÇA{]ZØ›+óR–/¾b\û£å>y¿3¢¯Á^a?.ç—p¼ã›xÝô+õªÈ¯Kª_mv\­ý¿lÝEp_ýÂ8ì ¢ïëô¾ýΫï[¬?îR?/ya|ð”#Qò‹ïQÏ”g*ßqÌös²Þ>×Uºï÷T?ãD8Ÿ½òÅ”öŒ(×úÁä_ê!¹áqdÜíÏÿ î'îyœ™_ ¼¤xÏñE^ïøŽóý:ŽÆ~†Æ¯¥?œ?¢Èß=ÄóÌóÆËÍ8 è™úÓnúAí³ŸRâVÐâÿGø…þkïc2,žã=änÚŸâìù—õƒýAYG¸»¢kÛCœGÌþŽWP|wêÝ©v êK?ØŸÇó€q”Šý~…?V9æ'ã§x~¡]’ðãåq†¡oç‘¥>©Ÿ×s¼gœ0ñgêKCm½ôšyÈ4ÞÖ“ÂWøµ=¢vy¾vÞÇ´ˆ¯ù~Æ÷ƺuþzëý“5_åþIãlS?çyà’ž‡?¼¯„.¬·v~[ÇÏ×ò»fú×ùøìK=2N:Š³ó–Ùœþºü.9eû~âÞÒ_\ǹÀõÔ¸Yžy?YŒw”cû…í´‰“Oÿˆîlu¹5û/v,çÛp{ùŽ÷iöGŸø±ªŸñÌ®©ŒÛeýôÁ<çü+ÔùÏúÝóõÚ}¥Ÿä ×)ç\ÇÆýmñEâÕÆïöϱþ¿QùÎ k¼ªb¼õ}êpm\³Äi?,7÷ ö«ŸuÆ+ÀÞç1_ÒîÄ·ŽsæT»L_ŽË͸ ñ%õ¬á³Ù~e\ê™8¢;è,ýMãÚñKÈÁœ'%mßL?§õ¸ëêoËYëi«ótN}U?ïû¹o;•íéÆ1~ôd;eúCŠÞíGl?7ê•qMñœ÷»jOâ?ˆ¿÷=.âçwàwÛ­¼¾s~w¾ãø_äýoðbÿ©v;Ï ýô¨Ÿí¯æ£ôC•|²þ'ñq¢|Ö{ÆÍý/|LùñÜ]êÛÅgHÿƒz9Ó¾Úg¾w\Lڽݯ|Wô‡|€Ÿ ¯Ä‡R¿»¿Ò úß{3>¦óQ×6óÍ‹·ÏwÏëw¯GGÅû¶›x}úË+èCr6×cqMÿÄ}ã—;ÿítþðôƒ¤÷ kÚŸ£œM=/»@îs\5ž^§]T½¨·qp‹÷⻶Ûd>Õ ?ZoÊ:®†Ïf|Ç·;ÏRwôW7îÃi¿®Ì;^Wz½í8Ó\GM~¿ˆS¶~yœ8•ç×Êõ^q:ãwëu3Î@|ïùÅço>îïÁïñ»qÀì·í¼˜¼oüèäZüÞHÆ[KîdœgÕ?óøèûŽ¢­µ>ÉöóCáç÷=ÿ·4õqí¸Ù´ÛÅsÎÓ¦¿&rKrz¶½Íømö;㽢ߡñëô ¿\7دÓëGãÙ¯¹‘v§8ߣúybyèx{ã±æ>Nô–û/ʧÿã>üæùÛ¸ßÖ×9Ï9tœûô¸ÎxÂxÎñö·Ïy3èåí¢#Çm@œåßšqÅ:Kå=ã]ã>ëˆ+*/÷™¢òƒKd¿Yê+\òÂ.â|„é÷,9s vl‰Žj~8æsûsÑ®">]ß·ß@òY<‡:tãŸÀÖ«!ߘW³“¸E¢×\׉޼~µ‹÷ƒŽCŒ~Oya»XÒi\#—…G[øœ×÷—æ|o™WÝߧþÐÕ$ýçsè/ SãÓ!ßm?‘mµÓz¢ôƒ];þÖ~3ŽK°=ÏÙ3÷ ô»èÐã ÙàüÄöF”ü…Ü ÇRNÅÙv%Û)ŒgiýŠñE­_÷ûÆEU¼¿ìÆÅq^‰Û%ºÍõ(ô¯ú¿˜ñ¹¬q³¿nêAgQ¾ñX2ƒç%gèǤ›xÎëËçù1®¥ö«%n´ø©ðW‘<óûÎSî¸÷“÷ô¿ñ§,Ÿ^r"qütíu€ís´Ïú_ÆÑv!è!㔡ñ×M|'õ}úŽã&2o¡äúÊwÞ û+$Î*ýÏíˆ_süD¯îWãAÙnj¼$¯¼ÿ2}×ðÛoNí¶©ñŒozÓwMßÖ‡ñðq¾SírT çÆzhÇó9~ÄymŸšq¶ñÞ–è ýrÅgŒë€ÔŸÄﬧGçýyDå{༌Æu´ÿM-NÌø Ô¼ì,^/d?ª\ïÓè·ÄýÐw÷'¿WàcxfýfâÁŵí>¹¯ÑóÆÃ)ò܉~í'Zà2¾ú^·ñ¾ý1¬ç§?6ÕŽÄ!Šë-õ ý·×Æ7¶¿Gæá`üâ÷ÌŸ¡z¦_$tȼªy„ëô§‰³ã ŒCéõ”÷©¯Ö¸:ÜùºŒÂ}æ!ã’CÖy¾µÝ¯ÈÛ†’\r¾XçŸ6>ýiû…íœÞÇÚ¿Æq/é+º´>Þù œÿãõKC¹Œ?t(~vœoaߤ4|®qp^DçÙ€XÏzÅ÷‘˼—zø¸o;–ãD—éý@Æ‹J®ù;â9çû©ÅÉ»? \á8S¯´ŵõÐÈË ý}ìUê•ù`OÔKt뼓)—ã>üày=óuÁç”Ç82®çAcœ6uÍw£¹g~c}ÂømE¹‰ó,úÌòàSñ«ñþhÏ|gë!¬Ÿç}Îö7 ù˜ûAç](ðbâ ?AÇøñX”úiÆGãžñ.Ñ^ãÖ'î;õ‘\€Žöõ}¾K¿¹À)2?ªþöw†Î_0þÞ?¤\‰³q99C®¯ñ«ì§nã8{½XäGŠçÒO+ÎÛêúýœÎ´þ>âùô§µŸÐ¾ÎÞg{g;´ã‹jùk©ýdá7ÇQ:ï8ô˜øŠñ\Ú×4Þ—Õ?öÉø@ú z–œu¼zÈóq߸'öß0.·ãè§{Ôüé'×öëò¾‘ï7ÙöøÔ›3ohÞ1_¯Üül}³û5ó èÌï©7P½ìGa;gú}iüiŸ×ûλe¿ã…l‰^·U_ϯö0€ãìf=Ï9¾×8—ÞÏeÞ"úÛt«qc^JÜxÎû7ã¯÷É8ôîŸ]úCýšzä‡èì RÌ3å%ÞƒøÙyÈΪÿ3OXâ9ëïÙ_;XÚÁà'ѵíLö#t=œ‡2å?ü­~Iÿ·¨—ím^W¥~ÅÏI$.ˆøÏùï úÅë=Û í×p^ý]e\=ÏQ?Ñ£×^Ÿ\q{Õï|Ïvã!øÍâ+ãOo ¹b½JÊñÛÝêgÛ—ÙßzÝC{<ÏÑÆæ¾õÅ>WüqúâÏ‹íÆÇHûãe>öxPõƒõ|/óØ‹è'¯3/DÏÃÎÇ„û×E'žmϽ¢rm¯âmêwâcKrÅúDëYìw•yfWú7Ήëg묷3Œ×ßÈQûà ç£À¿g|Yï$~ýM Oøtªñ¡\èÕ8 ^w$îA¼ kÆ!ýÄŸ1™_zÙ <ú1žgýÂú8ó÷D¹™ÿ%®–~¼ð½Úa|mèeS¿GÖþ·”G;v+ãk¼¥œ?ÔNä‘ñ•œç%ý–¨§ÆÕrÞú ç_7>0õbf;¼íüŽ'.ô-ŸôsV{võþÝ*?ù,èèê;Ì8ðžÇŠ|zšëC­w€þ¸vœ´éÍxÜ|ß8{[Œsœ¹F.Ù?Û~™È_úÙûyËïÿ½ž²ýÂñôÈÏC–{w¨þÔÃñ¾ÐåµÃñÖÆßñ~ÊrÁó³ç[ç±v—ñ×ý"råC—̃ùñ­ý¼ŽtÞcãYÿeNèuDêsõwê9á+õ÷Ïigˆò“ß4Ž÷ñ>7ýwô»÷áÆÁ¦ÿw`»JÍŽ]Ë+å8¤¼Oùqvû¯Ç猻j¿;ï§ÏëvQsú¾û?ãiø®è7ãŸã9㨧>†þG~©ßíe½Læ{<ü^®½ŸrKçô+£>|Oôãrœ—Â8¶;­ÇÇù·«–'¾lâ~±Þ¥½QŽíŠ/ÏxÅZ¾Çm¦+î'Þ«ä]g9ÇËq7õUÕ2^‘~‡þàwOâÒ>ƒýë ß¤G£q}½þ¢ÿ|f¼èÇ?ßü÷op ÷­±?Ù®ÞGŽe^Ú…<¢>ñ»ýÄ 3Ó“ýƒìwC¿2®¹ï³íÐüýØÚû^ÚÅ8w ˆW¤=ðŸä‹õ.§XOkœÏ`ßå‰î3_m\{“û'µ×8Љ‡":²¾‹ú£ÿËuKÜOygèɸ`¶óB¥öCpäwñ'téø:Ç©\rýâlýý€ŒÛe?Mó©í¾6ÞVágãòÛ¿ˆþwü5ã ]å¾Hôe=²÷ç¶÷ePñ…q»ç8ŸªâVªœ‡5´3ý¤4.ÈÛìßyúâ{ŽëÉñ—œsž3ã|ÑžÄ푼ð<åušq¶¼obG^%Þ,t)z4iêq5ÎÞß+oeómt7¯kËæý­ýßÓŠþš¤ËÂŽô¯ñ¤žϸÆïŽÌuÊ·~Éø5ƹ ïØ/&ñs¡WÓ½ä™ý&íÿm¿Cè*ãÂâ}Çõ8ÜçÑw*íBâ+ÛË2(rº—|¨å9Bd^©øùÂz¢mä{\ßËëÿÌ‹ ñ¤_ϨŠü骗ñPìÿm|èÂò‚8ä)ío¢<ë üªø=ǹ¿'~œø£çwè1ãçãì<ñüî8v꛸$qÎõ‚úÓyËõ âSÏïÆ÷þÜ8Õ¹ž¿xÿhãd~gñ¥í ^?$©Ÿ­+ö[ñ»ð}Ò¯.õ5ñ¼óAä~RòËø£Æë³ýÕò¯æwc\Ûu©‡ý4Y×C×–©_‚nãL9ÐýÝè}Ç;þ#¿+>,ðPâšç$ÿ.ª>q8£\ç;M›x>ý૸ÿež¨xŸõê§$ËIX¿ ¼ÏEÞxï»Òß ù¨zû{–ó{q>P?Ôðƒ•W¬Ð¯ö¹¸>Ðýâ ÿKþñû†øÝë5ã¶8_½õž×l·0®iÍ ù°ÍxB¿’ôþžö‹´=Ûøåö6žëeçW±^m zãwú#êÓÀ_È“8_Óµõsö3²¾É~ ö;+ü­ãw쇉۩þ0>†ñ¼­ï€Î ½Gün¿öÄŸÔ8F»S.!l?òüâ8Gû5zÞ0n÷©—q6œ‡ÉqžÈ+ËYçG±žk[åÜ­ï;ˆñ ? õ“ý·_à'#ÔîÌ ñöþƒu,Ï!_<?¦À]‰køêœÚ—ý y•úÑó/»ÞöW°_„Ûm>±þ‘ñðzÂz8ǥؿÑë!ôò‰o¬öz½`üë7·v_ñe‘·†vÄù~=—q€_û½íªýÆÇwœ]Ô·X·8/²ý«7Ë èËú0Ç;äzçDWŽƒ¢>›z¾ð3ÓxØ¿Ñ~Yž/¨¼Ïtœpâ1ˆŽíæù…~Èu¬êmû´ýÉí¿[ÃIµ?ããø"èÒëAçN=îáï™ÏÐ8hŽûv¾×Ä7Šû‰ûϯÔz³ÔwB_ðõk¯‡­÷@®$Î|¤çí·Â~ÂñxY^Üw\SŽ ô ~‚3?‘èxWôã|o™?’qˆû…¿§ÆÁùØ9ƒ»âùÙ¸ìÔùe;ñ£ÓÎ)zÏu¡ÆÉy('<ÞKÿµ‹zY¯êý2ý ]]l‹Ž‹¼]ôô«~²þÄþ.¶/$Ž/í—°~Ä8·-Wƒ’¶³;Nˆñäl?NÏ›ö†ÞÛ©W‹³ókxþDçÙq?ÞB÷…~¤"¯<ÿ ·”÷¡À‘ö¾Ø~;Ô+ñDçÎKšó¼êã}ÒµÚ›yýÌçâ_ã ;_Vmÿì<,¶Û—ñb_–ø‹|‡÷â{‰#®qƒOØg9¯MœÓ¯ÿè:ò|–yÍâÚg\ÏëÎçPÃ}NºÕxÚ?Î~Ž·1Þãt¯º#y¶%z·½ÊõÍýí¤_âl¿OÏ+ö»½Wý¾§ïx¿l=­ç#Û)¶TÚ™ñó¢'ë›àúÛzãØÎrÊ»O×È[öQ»ª-NÛqŸÖkw¦–>íûô»ä²éÑø3Þz½“¸Œô#t¥zXé} ó†f¼V\;¯Šýzé?ãx=bèÆzá¡q+Æ]öºØ¸„žGÖwïn‰Kú¾ãᮉþÒž«~Íq]_Ôw_‡³Áxˆöÿgjø—¬‡OyB%þ?ôÅ83¾¹zYýæ¸uÇé''ótˆŽÜŸÎKæõºñAT‹_<Ð{ôŸóòÙ?Ï|xIíäÚöWû!Â/Æ+÷¾Ôv>Ê7þ°õ„Ì÷ŽŸÊy.~§Ü]õ‡qc3O'r¾d\$·‡—û±8³_Í<䌓ø+å’èÈúÛí¯iû9߯~0Žsœ3Ÿ‰ê“ö™(Ç8 Æ‹-ôæwø“q§ÿÄoöË0®óV¥^/ÊñzßqIi׎÷˜ßïÜ_Äó—T_ëüÞÍxš ?'ßH>:Þ4q‡Ü^Æ>“ñ~Üzbçipž èÜ8qÖ?gœ˜èÝûuûÕô•ñòÔƒ~îU?û5÷š~È}Æã!õ“ç)¾Ÿë»õ¢E¾•ý²ßuaï#œ§Îûãý¹ÿ¬·§ÿjy‹ìWN=á?Ç:/…í=ðçeË-çW1ßz?HoKîðtü°îg>gÉÛq-¿¡#ʵ~Ïþ%Ö@?EžÆúÖxxß­||©¥}ПãÚ]žóhÙ^éxlÛ Ûü¾ÌùFtqYß³~⩋ϼ~ñ:–qÙT}’îE¿»ª—í]ΓîýG¶ñƒÔÏðSæ³€¯ã=ÆÅú#ëÑ=~|úäy×Óy¾,Àû£"O|܇ËïôúLìmo¡÷é§Ä Ó8Ú¾e»‚í}Ö/ÑÿÐgE^?Êþû|~®áŒ$ž…ø}z§Ýñœq›ŒÿJSïÛ‹uNEþs6>“ã2Ñ'Û^mÿw¾#yœþŠök1ŒíéÆûL}úáóE¹Î?çÕgøyfÜÜ'h¼h§âšŠ8 ã©å>Aôaýµó*¤ûÈEëÛ=NÆ“3žû«¨ïÑ|¢ï¸ q†>(Ÿö{]Kÿ:Âô“ë}›qî?•òãÚøEÖoXe¼7ä”í¹o¦v{ý]‹Ëy¹%>p¾[ûSZßîu“qs¬_Nƒ¸.p £þoœP}¬÷ò¾/ç1µ‡þa}ȾÑzÃÌC-~±1vIÚçý´õ+²›§¿ƒç³"Â$ÿ¥}ÁñÐæû# ;ã[8î'õSñ>ö“ ñ3å_Ñ8¤Qí0ŽãCª‡¯mG¸[ågÅ|zFõ±>4í=ñí°ßªãsû_øÕÇÙz·Ì# A·ñ»ñ›¼/äùÌïŽÜÐw«4+ÎÇþ1Ü7þ®ãÛÍoö›° ítþ9ë%R~Ä}ûoQ>r1íhŒã,¹â<àÎoàõZ~Wü]àÍPOèLru§ý Œßf½ºýs3Ž5Þ7nôãü9™w@ýþ ªO-^ óí!ÏâLÿóÝ»T^o©ï8?ˆ×Ñ;ñ¾ãémOO\õxÞxB5ªÏú`ã{|ßz¼Ämмõ9Â/ÿ[®çÑ8ÁÉÿñœãâl‡J¼¬¨ñ ÆS¾C׎ËÏ8uɯûÍçž—™?3O€øÍò4ãôûWqÕš™×ݶã‚qvüQÏ úxÞp¿ÚÉ|jý“q4j¸ëÆ+°þ<ýÑã²?~÷8:ž‘õkÓ¿#§‡Å¸z½e¼•´ŠNR/åÕøoOí³Òó-óNîûÜ¢ÇÄݧýôèNùl ÆÕypüÛ⻹~K|Sž_Øbÿ<úÅqžÎêøåÑ-ýrDÏÙïÜë”+Wã³ÙO¦ØÏBêwÇÍ8¿ð9ß±üÓx:Îá’úÓýà8}ëŘöò¸®åëð:Ø8Îæz[>f;$眗#óÄ5gøkMíôþ„rуd¼bÜ·Vú]i\­wŽõNæ3 =QŸ\8ï’ýÈ·(/žß8ü=q7¼ÚŽ÷ÒÞ'zvœ¯íñ‰»¨÷÷e¿x¯c¼ðú¦¦ß@›ëPË!—ãý3?D¼Ï}çWÈø}Ë;ê%9âýí5N€ãA-wT¾×™÷jœ¼¿¡_BOãË|Ÿv/µßmGqÞ*ç)cß›þ•ñ<ëaã¬Ø?+åJüîõ˜ñr½~°¿µõwi÷ò¨wÎ×z/qNÔ/Æ©Ïø ú+žózØqÖ Òûã8ªí*Œ냜ïãÚvǦ}¹2>փ؎`kÇ/d¾àxÏú«êOÇ;^$í÷qí||Ð+óüÁúÆó´ýE3¿”ÆÉþ)wi_\ñ,‡ï§ý§À=S3~úѸ\ö7pž‚þãÚýUøÅÙûÇKOÖú3ÓOÊ[¾ÏYÿèxú9ýA4žÛ‡]É©3ßÉøñ•ãì¯oã9î«]¦#ç§óú×ûqçùqÞÉ-äX|/÷s™÷6žƒ¯[ÔÇt¿«kãZX¾©òÿ†ï5j§íèÆ°Þ)éRtjœÚ^kúIŠNä|‰¥~Mœ£xžv¥ÿy\ÛnHÿ:ýçølÇÃÑnãÙÍø;ö—d=•ãˆ\¥—ÃsîWïÒ÷YWY¿¿ea¿ågè?zï³g‡žÈzsãñXÿeýgÆ×#DgŒrÊë%ï_¤W/ò{žµž6ÖÕiq<õð¼i{âFœ˜øâËGûé{>5ñ>|›ø¼¢ã@ZÎ{ŸK¹.Ÿr¼OJy×ø7?‡þ´>Ò¸™‡=î+n‘õWê ¬—å=æï;‹|ÔOôa\ã½yM9÷¨ŸÞñ²Ð“ý‡ìßl<î\«ÜßT;jïQ/èÙ¸Ð-¿zq-ºp>Û)ªqàæ︟ykûoÚŸ:ßW?÷"í%¢Sêá¼lçô=Ç7K_›rÇxòÌ[âWëå¬÷±ß±ùÊþ)ÔËx–.ϸ –WÆ r<­ýĬ§ ¼mú-ÊñxØÏe§Rn‘¿,î÷‰O{øÝÔ3z}ëùÂþ¬¬K²½q}ý¿Œ·k¼4ïYçûž‹³ñÒÚùVÍçŽÓ ^^‡Ù?­æ‡h¼Gá½ôWú½Â—Œƒü»r~w>›Â?1ʳœ¶ß°÷Ù–cΟD½ŒEÞ3ôvÖóÑguíÝXO™y&5ä:‘öR>õÖ8Ñ.ãQòܾžs ë‹xÎþeµ8Cç罨ògü@çý„Ž SÓ…õUæ#Ë)ƒýzlÈöëûÎO ]9^Èv?_Ñôú-÷Uq¶ÿ¬õ¯E> è@ÏÛíq,ø]üå¸Vç17nˆqwl7£Ÿ/Å>x‡qBþ©ÿ§}1ŽI_zÏöí¸ÏuŽ_Ëq….$ªx±’ÃÖ—¥œ„~£ýÞ§°b<¼^Mó(ÿ>½—þñ^âøè;ÆB^ G)ç ë±ùž÷'…ž\íw^âôC>¨ÿ¡çÝ`ýí|¹»Ð¿ÆÁñ:ö¿Éç4.ÖßX.Ú¯Åq”O}‹¼HôO<—þÌQŽýÅm³¿¸×—Ζþâã]x]nÿ†š=Äö•ÕÓùÙŒÿ~Iõ¶p>ðûA¯¬“ ½q\gž9ÉE«ý#ì ŸØ~f}0t—ù*DGÆr¾ë¡#ã!9_r“³ãû’Ntf=’zç(ñ†Ï¼µÞ7õêâ‹bByqf~°ýÂzKÛÍ„£™úfû•ØŸÊ~–Ö¿gü²ú‘ç¹o¿|ӵק¼—ôÎ÷Åïµ|L”+ùc~¯å±*ò¼«þ©¯V¿ÁOÆÍÊöÄóöw´œ…¼NœX[úœW4_Q¾ó¶›¿½ßc¾á¹;Ô´×ë³b<âÚzë[¯/ΉG¬~5½3>M\y§DGûêbÿ?"ÿ5œOÅGiÏ€èO]ŸS=sý$ú¥>‰ Ï]Õû΋áü…–‰3÷3¯›øÞ~mßÄí¡âyã+Ñ÷ª¿kqI¦+¯§kö[ÏWn¿ãË ;ø<ý<ÔoÞ¯[ßîõ­é.é\å1~ð»íE‰s£v¯À|ã8Xû…:î<é^ã„Ày¶2ž—zÁª·õ6^oåø"'ÔNÇ;O»õ¶‰WLy¢'Ûqk¸¸Ž»µ^Àqˆ×ô^%~"Û ¿&"OÔ¾õ¯ô"Eþ¦чíMöÈ}¸úÓ8ÙnÉåÔŸÆ{ðütø\î¯<Ι7R÷ù.ë8êëxû•7dWýj}¹ã(÷5.Ðr8íÍq¶ŸWêáâœûRäåÇ™ù¼À·—œòúÑøÆAȼLÐOeÜí_À8×ôwê»Wußþ«çU_ûS¥žPå¦U\×âýÞó¼e{•÷_Î'‘ëõkÆÓÄùšêi?ý¬wÐ?úã<Ò^äÚÉÕ^äò À½Ô89ΩÈÏy¿ý%¾í€þâyë;ïÓºr¾_În÷áWû Ò¯‰ãCÿ WâwÆ>äì¼@ö‹Ø²<ï<_©üN¾.öåŽ_…?r¿ÝÄïÐWÚ‰Õîijƒ>Ô?ª¿ão˜þe½£üAGñнä“ý.Ò^Aý¸Vÿe‰Ni_┫GÐúÌÄ'ç=OÀ'^_8Õ¢«Ä…¡¿E߉§þÊõx\ÛÎ\ìC©'×ñ½´ËiÜtm\:¯ëkñƧ6~¶óK$?k|xßùã…oxä¿{Þ3^œãÓZr£Èó(zq>aç)Éõ¡Ë3ý˜øêW÷¿÷[Ðrö¤_ ý/º¢à×Z¾‡Ì×-¹O= kya?RãoZoà|žÎ#`=¡í$^ozÉëum¯å÷mÉéŒÛ=2îŽoô~ÂëRË•Z<+|Âø{_ç< Ê3s”§Rõw~¯OöUzè:ýmâ~®kéWÚ§qÍqz_Ÿö`µÏöw¯Ûì–rÞõÖ÷WC;½¿ÜÑï´ƒßé_ïKœçÌzÇ7¦~+îçºþ_1^ÜPÿÒž"ïtgã+¯~_ýýgçO@.&®;߉sÚ4.ÆIñ~%ã4.—U“õ½©GÝÓ?ô#ýAû2ŸD<ÂúF®‡‘ôDykê_Ç+åÈüeñÜ6|*>dœ¶k‡¿ç¼nÍŒCTZ.$«ÞŽSuŠûÅ8Oø'ÖògÓN¯ÛçÛú)ã@ñgÓ¡q=Y7×òWú0þ~âI.QÚcœ€ÂWôm\=û9^Ò{YÚ+z‹ßsßa'ã8Ûï¾½¢ûÔÃñ-wâù ÂGŽ?ò~ÁþEÑ?)_½ÿ„ÿ7n?gçÿ¤ýŽ+ð¾ÉñðÆW3Þh®4þ9?"7ÔÞ‹j§ý|S©}÷«]Æ¥t~©bÝ×.Y\3.¶³^™ŸRÏ=âòâ¼íú¨½ÔwC|•øRâ¿sª_”“vµî(íƒN“/D¿ÞgÜ~¼ïøþ-Æ!Êá¹]ݧÞÖ¦~ŠöÆ™þp^ û#z>Ëuˆøá@íE/O?äº%~O|#ÑŸíºÆEµ¾µ½Çúmø~ñz—ñ³Œ÷å¼o¼J~·ÏóŽé#ñøÅwÈ…{UÛQ½*žßƒÔŽ.ªýeÑOrͺÂù2œ—ÑþHò¯É8軆íü"^ìêyâ4):¹™8?¬C›¸O†ñ„G­·SXŸ›ò\ò¬æNû™ü~ooÜWÓ{ú×j¼.ñx'ÆsÔg_õð÷í7 ¿Ð~ÇÑnÆùa¿LûÁYìxsãÚÏÝùrA9ñôô×Öëä¾8®‘wö➎·Í81É1ãÙ Ro(:´^9¸¡kïWÓ¾ßÆ™ý”ñ˜'Vòƒ3ûç]æ;ö/wžñÄÕVûyžñ‚_ì·à}/õ2Þ”óIAwöÓ±Ü1~êÚa~J}…ä–ýÔ ýfÔ×øT™ÏUôi¿9ú'õíйùPr¡†“îx}ã5Û@û¡»Üÿé>ý²§ïØ¿Êùvx?ñÁ‘3ð=ô ùâçäÜž¿‹œ‰çœ'Ûë=ã%Õì±´‡}¿õ¾|‡z°Î³š~¨á¬Ûž@=ÑGY^2nŠ»,âzìwh¿™Ôï©ìWšz[µ×ñc©§ïæËbg9`?¶MµÛy\¼ïKÿDµ3ññÕo¬¿®i|Øÿî«~ÎKK=ÁŸ†~le<Íßö›O;½ä{â=‹/ìJÿ$Þ¸øz²VʱxÏrÀówÊù Û¯0õwŒKœíf}¾ífÖ:¿ó†Q/äüêü%æWè‡vr¶^Ìó ëç³ýÐë2ã¾zHÉûM§žÿðú¿y"¹å} ýí}ã˜~nÈuèJõ²|äwÚ\7Ýðó¡å¦ý@½ž÷>t‡÷Eg–ð¥ñ£ ·K•v&®Wœé_Û{©?|ÌüPËwI¿d¾Kè<®·jý­ýÃÏêš}ƒíˆÆsµÿM '8÷‘ª¿ýÍŒ+íü¡ŽG°þ.ãÌãÚz1çsG·¯z›¯Òo©R¾Ûo9æõ¸ñsÒ?RóHaç‰3t–vzÚ%9”ô(~²ÜK¿hÊE.H.Ù„}TÆuÓ>˧Š\2n]®¯âwÇë!ÿÓŽϧý[òÉx¶SðÞ¦¾·gç˶Ý;ó~H.ØÈqlæ£ÔßÁÇ’´¹—önÕ_yÊŠõq9œW7qMâ~ÍÂr‹ö³ž¨Å;yÝËûÙ’ON¦ÊÏu²äQâìŠî.«Û꧇ÔNäŽó»;olÊ'}ßò0××¢ûOÄ~ܶëŠ?²íÒÆ{݃âýx¯¡þñ|âwŵýø¾ñ=’.hoœ?Æë+çJLäµä2x`ïˆkÇ]:ÿ©÷U…ÿD¼ïø ZÞDÛÙŒ³i¼îZ^UÛ‡¬G¨àjyYœÄzç´Æ5ó¼÷g‰ƒçñ¹ñJhý`ºrü¤Ç»ÀcÿÒ¶ƒíIÞ¤_òKãb¿Ù+j¿ýæ-çŠ8cÑ7ý`œç-3.›ý^.©|ÆÓqfÞGó‰è°ð7‹k¯¸vÞ÷”•þ5Þ‘ýImïCßÅxòœã’âl|Fó¿qÔóû¢;¾kÂ|Þý$yUÔO¿w£f×ʼÃâŸÄŸŒ³óá9^‚¼!o…¯âùŒç¦ÿÅÇ…?Ÿ®·â9è‘yþ3^•÷%¦/û CW‰Ï)zÀ?çYµ?ý;DgžyÞþ[é¿,9G}Œ“‘ö Ñ›q8¼ßåû´¯°‹þjy.까«‰çWçx ÉÞÛS½í¯aEéýÒ¿Îù?Œ¿bý‚ùk'®'+îS?Ç)ç>˜öÂ÷´z¿ð~ÎÓ¢ó9ß·½À¸ˆÐuæÇ‚îDgö÷¶…ñ3~£qÓlçJ¿è;ÞË|CⓇÕWToû=ÛÚþ ¿ _@çâ#îö6æ5øD|çü¨Æѱ½Oò£°#ZÿlBøÕyKŒÏü¡è…q,p<=¾´Cýe\ û!ÔìˆÚ$.t‘6ž³Â9•“ò±"gí`= ã‘yk'åGßîu˜õÏ÷é}çC„O ´ïJÎÑÿ´ßyÓ¬+üŸâ|Uý`8ëA­·Ù×xØÞ|Eõ)ü½éçxÎøçÞßA—éWG9â+øÔñ8Ο`œ6ì‚)Ÿã~Òô¿;Þ×øjöÇLýiÜOùBýÔ_öŸjâÚyœËò~'®Ó.¥ñ‚Žr<ÅwÖ·9ŽÐþæ5<ˆœWÅ'ö§ôþÌx?¶C72íIêOô${â+ßEÿaéÂ_¤Â–CŒqD_öc:P;)‡uõ•k{ï'Îøás¹Þ†ß ?Ç/°nN\Iñ¡qŒÛeÞÏqÕø¦œŽòí¿”úÀ¸ï<[ö?¦_—È8{»§3õõúÌyÃØÏ[>9¯íƒïÒ.Ïmê{¹^Žö£gã½]õ‹íìÐóKOºÈc¯òr=gèÏóS‘”ñBˆÞ×êõXá§Yá‡ÄÅQ§½¾Ó¼ãï9_ó8þÜöqãöÛînü³—Wtåò½îÈ8Õ{›~Ö}ãØ>âçDßWUÿäO}ŸñÝŠ3r…u¸½ì»rýÏÙ~…žËöHÇç”zߣò/NÖ£ðûIyÆxÄsð‡ãùÎ=ïý\â‘ÄÙ~Žß³^ç’úÙøE©ÖóÖ§Ñé¥úÛ®’rŽùCýi½ß~O°=ºÈ«­ço$ž3îšýE(ÇqæγÍ|a<;Æß8–Ïż­ïÂxÊÆUL=VÜ·W^£"åØÎ@}YOØßè^=—þúqfßQä›Ö8§^?®íçfkâÄñ¯ƒ“®à‹xÿõýÏÙ~gæ3è;Ÿq’^y_ül¯ÔóëwËç?t^/Ûc ¿MÕÓúèäKÝg}+n·°SÓïŽK0>žíqŽO/Ö}´_üdþqžîš_3ûç³_í¥]ö'uˆõÙΧíùÙþîÇz=G¿8šñ[¼~µË8_γeܯŒçE>ÿ±>%®Óë èÈúãÕzä8?ú•yúá¼#¾K9å"O¬7¦ÝÆS6NýÎø0OíIÿ!õ¢7ølGõ³¿ýÜ™?YÏ{i¿¯Ç”±Àyu~¼š}‰~ál¼7¾·÷¯;×oÈ‘ønúUÆ{¼oü¾}•}Bo´Çv2ãªeÿÅû™O*®Y×ñëVô¡'_K.P.tL}sü‘Kª7òÍqô³ý¼ÒÞ£þs íÝZo;€ñ.ÓoKßÉu ó„êK» ?%Ñ›ý;œÇÔq™—6žË8,õ¿õ²eœ«í¨Á¿ÉçÎCÝ2þÆï²qÅ%W ÜJç;ƒ®Ïb?å|.ú+ñ/í-ð•âû©=ߧü}˜M§«}ÆõõþÔvhãJØïÌqGöc¿=é÷Š?Ë‘?’äOÍŽÙ¨? hè#Êϼî¢óÔçJn?;Ç‘úÅÙz3ça» v'~@üÎ>Dû·"¿B.Rÿ+þóºÅõÎïÇ{Ègëyr1cü-Wíwh¿÷"Ïó$ßeûM¿žoGÚyáŒßR[çe|¥~¯åKû¨ä¯÷yŽos~—ÔSIngÞÌ8{=èõvƒD»TN-ßùýªŸätagÍõžèþ8£÷“Ÿh¯äƒýœø¾óÿ3q_D·i§‹³í‡ö3¹¬úÔìWÔ_Ž§KǸ¶<°?Ö%gÍÖóvÒåÅ}æMúÏ~véǽ¨¿ •8[¿g=KÒ‰è€ø§Ì/ú´?L oÊ8õöÇ6N»ó.ïê{öG±_šý4Ì÷ÎKõq׌³gÿ4ë1ù=qñ5.ös¬¶'ÎI¿jÍŸÓ¸?<—ùJã}ë‹ùBÏ?¨z:ŸÛ%·ƒ~V}‹<}êGãrÂ_”{_1Þ’OžO¼N©ä¯=ÒãÄûñ»çå"_@|ÇùšŒ×iý—ýð+`¿Û´“FyÖoç‚~µÿ`Ò›æÖgÖÃ9žÅq@Œƒé”ñGOêõ‰ý.œ/Ïv‰ÔKèlüxÇs96ýå|ïŽCþ)Ð3ïÇ{i§Ôø{ŸÈ¸¦Ÿ@\¯ëûæ_ÛcÏè|fô;íµ¿žýì'àüÒŽŸ6ÿy{D§ÂÅÎõ¡í9©ÿæL}ÔEœ½ø+ó‡P¯Êüj<™ôSeœt¶_”qû¼Žs\¯ýÕS¾©Þ~Þö¯Ãí’ö7Îâ¾o?ë}߸ÖÇMÿ«?-ŒcÞ˼¿Q^‘ïÏýŠü¢½’#ÖÓÚ,ý´â}ÆÑxÔËqëö›r}Œ/‹~Ï8ü57û©9.'é7ž³^Õ~æÿôCŠ÷ا&!§EW)oÄßÎïx úXN:®ÙóeÚÍô;íf¼®Ås;ðQ\ç|E»àøL|”ypÅÇÖW9©×³Æ¥µ³½ö’Ú—þâë"_–èÇú·ôó ?ã §>³úÉ|n¾u|8÷7'Ðü×½:²#ÆïƳ¥^·g¾ÕxÞya/è=ã}Ùï:q„D×Ø/½.µ|öú¹ð÷Q»r~ÕµñìG—x€Èè‰þ=yŸÔ?ö+´|4þ=í`¼ £ô›¤?5^ÞÙ‰ïØe|ç¯1Žƒñ³ŠvÅý«jßAŽX®¢†ã˜ûlê«y!ã©ãì¸ ûÛRzµ·Åïi¿ò×ÕÎÄ!Õx{~±>×ú gÆåˆî¨wæW=SÖ釥ñµ¿ìyí‡ÄsÎ;E9×DÿÆ7²$õ+ä<íT?¦_½èƒq±ž¬À¿Š÷öuM}Ÿ ò|âq!ß㻌Smýl;½÷£^ß@‡i¯Œû¶O÷b/Ê5Ž'õÀî„ü†ÿ¸@½£ûµÂqϴ߸ÿ5OÚSàA¨>9>È!‡ã^œ¯2íÙЛäßq`®ÿã~Ž‹ø¶†×o¼Gëç-‡­·>×GËÞ·]£È·'¾Îí·É8f|¼èиé5ÿhã÷Zîgž©ÃëÄñJ{ó¬Æ½f?t<½é»ðOT{¸¶_Fâ-C¿þ¶s®çâ=×ÓëÃ"¾-ê“òþ𜸭ðŸ×mEþöJ}–ûQè8~÷zÇúyË?ÛÝìg™ï±îrÞ7¯Ï½îK¿‹ ŸØoªæ_E}X·äzç¢\Ç…ñžéa;®ÓoCüVàsÇï…\ûÎ+n}©í̶‡ÛÎ\ø—GùgTŸZ¾rÛåh½bÚ½£<ïÇ2Pœ œñ­ãJ3^;Þ/ð@©§Úë<Ñ5œ%žgÞLýÃásGþ­‡ç¼¦_Œ÷Ì:u+¾ÃõÝú®ýJŒUÃq±½5êq÷}‹½~±}—öÓëKÌ÷ðó§ó=ÞcŸPË#Íz˜y:M¿è)Ê7Ú¿Ð~ZÖ7ߊv9¾Ùþ0Ö³íQ®úÃqÞž7,o3î›îÝþÄŠ3ߩщýCÌö/¹Wý븬ôÏRÿ¦;®±Ú‡þ¶ŸÏ×ð¦èoÛ±íŸæuŽýŸ¹>£vR¾ñA¼îJ}ú?æ팯büãšv;.zHy÷3#®iï6òSí¥žÖ·B·;’ã¶7ØOÅvlëIr~G~B÷jÏ5â3üí±c°o¤>‰Ÿ+>¶þÉ}«è¸5¼ë )·ÈÓÄYüêzX¯ÁïÆa°ÿ{êÝã9Ï>ò%Îö´?8ýi<‹ÜÿH>;Ãú­Ìk#zµÿãÊñzÎqçÆ#Êømø>Ôøíè{Œ›÷¯–WŒƒíÙö¿ô~>¸ªþ0›ÿgåxmïgwãœ8^´Wã'ÿØô3µ½=åÏÓÞ8—$õÊê¿´§#¯xÎñZÖÿåü)yb?_Û«rŸÏÙ~Wà«èû^÷z?ë<,Þ_RÛiyÿ.ýn}¿ñœß€ñN?ùø>ó€õ6\Û ~Ý€þ5N‰[ŠüÙ_Œñ@ošúøöúÚ¸Ô´ËøûÎ3ÃúÏq+äÊ}²ÆÓz ãpx_cýE®³â\àžÑïâkÎð£qéèOä|e<Ÿ}ÕÃë0úÏó¸ñ¨ä¿w”Æò†ñ½ì«žÔo+¾Ù?Æóþ›Ž±Tâôjd½ýzýç¸Pë¿Vý=¾Ð3ååúÄòÌøþö÷ÜV¿AÿŒ“×KÆzÂç<×ÖÇ$¿Ä{Gç\7ÆÙ8¥ñ^ÆÅÁ[êOæä?yÞxÏyÄíæ8 Œ£Ð÷áÇ;nиcÅzBíFï}Y¿ó½Ä  âûC3¾ÌƒÞg×ð¯Ìç99Gxúqm}Ïí/•ýåB7çT¯Ît_ègâÚy`½ŸÎ<´qm?ÐÌ“MÿÆuúMEùÎßkùSäü°¾!ñÞ£\ûïÆûÔ̧Lý%Ÿ úÇz'Ç-Ù_¹`¼è :1þû%µÃz˜ ª'ÏyŸWćC窗÷Ô߸JEÞ@èZò~ñ<2nÐoö“ÊO;‹¾gÿçô ýð ã"¾7ž>óWêW4Ô7õTQŽíº¶ÛOÎúÿ#i·Ï~ˆ3õ¨å‰tý=xÿfÿ"áùH^=\ùÝíµÂ8^OQO—Ÿyâ¡[è„vBúÝûs묿€ÒN Qn<—z/ø0®7¸Öø»_SJŽ#7ùû\Ç÷ó¼ã2“ŽOê¡q³~'ñ­ã½¾üfÿøÂ8Î?Ÿþ)šxÞøgÆÁç;öµþÍþ—{êGûãe¼œúÅñ`ÖËÿ z¤=Îê< Üw>ëñ2Fís¹Žõ>׸m¶›%éá9åûö¥Ü‡þ¨—ø˜þ1¾Ï¦;Ç÷xíœéoÕþ@žoµ&ç¼~£<ã_ÎöãN^иs¶œp’ÄE¿9ÏiâŒÅ}¾kû·éÃýmûK®GÄoÉß“t”~|‡8­-ø>¤žq?óT#4þö6=YÞä< þqÞUÆ}¾ãfM‡‰·JùÔ'δÃ8ÔΣ•öFêÏÛn–8òú¾ç1êOÿØÕþ¹ö[°ÿÕŽä³ó×Öôáøã·™('õ"ñ»ý†ákçÑt\´ã¬¶žÀôçõŒçOëÝky—­Wôüžù-ã=ÇûGßûmãcÚßÒvúÙy$ KøÕq é§-y];»óјŒ;eû¶óà!‰sq^÷¯ãi½¯´_¤õ¨T/ä rÔ8Ñѯi?0Tâú¨þäUa§ò?4ã&Uï´¯A'È3õ»óB8¯÷%ÕÓþcŽsd /çsœ£ížö‡±¾ÄýWÃM²Ÿ|Òq”“~óê'ûíB'øËЎϱþê’Ú‰¿ ö-ú+ã$?íGŒ¼2±ýh¼.öþÒxIÎãl¹›xO¢Ï¢ŸU^îëâœ~Š¢;Ë#LJ_Rq†âã‡Ô>ç©©á°Û?qi7ü÷·$·îÓøÈœöBçwãûð±ãgí} z§]‚~kÅ!彌3z8úÕ~ÔÏòÛö%ïŸm¬æ3ß©Ç9Õç@÷ÿè|Æ5ûÆYµ#×±“ýSÆ1‹oŒb\VêkzÌqb>Šú¡oGFÿ#—sg>Ñwì/aº×¾1ý¨ó–ñ¯ù¾õ½öWH¾ßyk<Ïûž÷ß‘q´ñþ³qßxâôƒíɬ ¼Ñ[îÇâ½Ô+Å5õ£ý‰W*ycú·žÚ8ŒÐ›ó$ÂgÞ/;>3ý·â¾ã#¸N¹I{‡8;ïŠñt­o£oNÏ¥_¨ê‘ûJäAíQ}[e¼‡}c”³!yâ÷Šüí•ßçQó—I<Ñ‹ýô²?˜ÔßöûNöxÎy \1÷3õ]Zïbÿ5Þ·½hOïÛ¯Øy×ìÏ“rAõñóÞ§îÆ{¶Kº<ä§ã©Wâq¶¿1gïÇr«zÚß—}aÚyãúa}×û;äôÏ…ÈqÆ!³Üv¸›7èsMõ…N¯ª>‰ß$ùåùæóYÈ…øÝñƽ;¯v;Nq´õýì/¼ÿU¢~’Î n|j¯“Ò'>}Hõ;¼²ÿÎE×¹gÚ˸'ÀûFçÑå=ë'¼ÈÃv$û›'¾œøÞò5û/Þ³ÿ™ý“¨GÍ‚uýì¼ÞŸA§ê+êGžC/B¿Óëy½ž/ð¾õ»ÇÃq|Ž‡²}Âx†‰ƒ,>±?IÍžI?ò]øÊz ¯¯Nß1¿ZÿByô§óô ·b¿çM4npâr0¾¼/ùb?ø3íÔôÿásE>`ãüY¿|iòýB?Ìxä8Ðÿâ#ï2Ÿ6ã*úI»¸åõ‰ßyn'î{ÿÊ:ííª¿ããO/®/:+vú}‹^Ò2ÎÆ1I\=G¿§ÿšèÌr&qAâÚù‚×Їñ]r}Aûõ¼×—ÎËGØÞœëÉê•r5ÞO?äªøÖëæħÿU¯Õ_¶ãG’öîŠúÅúô½Ûñ;íKGÆG|PàÎ^yGm§´?Oú™Æý¯OõÞW»œ.åtÜWœy±Ž÷üÆzÛ~šÆmqžèè€zF½ïPy^dülð;ý–ùÇã½Äé?;߆ç3ߧ~¶[zçøï"¾7î{?eÜÉBP‘ŽÓ¤ÿl'6N–×=‰ó ¿¨Ü=ñ‹Ç—ßÍ'ž´îH»BÆßÃOô¿ä€÷Û´~4ý§bWï ºÈË?;OvÆÿ¾-~g=Í<àx½ô„t?í¢?ãJf^+|ƒ\(䛞‡ψ÷_òKK»“ãY½®0ž‚÷é)TçI3ýð<ò¾2^E1ïk«nû7׎·t8ë ¿TÆ]ôŒÜtœŒãì<ïÛO-íJûðã“;îÆûÇ9'Þ¢úÝy§í_æú‚o½Mö³¾c9ë¼4¶ xýe<"Æez‹òY/Ûyfý¸×ÇÎ ãþ5níu~¶ôÿÙîâý5õL\*Ƀ\¿ÆýûÕ.øÊò;ý 4Þö›Í8ZÑ׌Ÿñ°½D®±c|ðÃy+ôŠ~6âÚùgr|©¯ä¬qVe7J9hÿ§Ý¸^ÓøÚþn=–ùÉøÌ™×Tü@¿¤]VtyÈÅwöÛƒS ÝÂOQtb¿NûE;~èœÚǾªæEùÆ  ŸÏj;«ýAkú‰?*ž7.§ã(?KÇ›Yßc¼ój¯å°ñó­ß2ne ÆyŽø}+îÛ?Õû*ã:»>^¿}^ë#>ËvÐ?’kö›³]>özgOýá÷ +Ç#8Ÿ¶õ]^§0¿š/CO”ñ³|7í“¢êc»°×>;ÿãër~ãûq¶ÿ:íÏü¿¹B¹ögs<ÕÕÇþÈ–KÔÇñ™öC¤ž´;ù…~RzÞtþ$ãwñÞFÜw¼ëLã ±^~»Úg=µíé¶7Ú~LÿfžÉëo {èãN]gü®ø×þƒ>¨éRï¨]Þ8ÎËzWËg®oj{²õÞ¯{?qoq6]ÙîÏ~Óö§È×ôw®‡i7üëùZünÿÙÌo¬ö&nGœýtdýŒ÷¥U_¯ÃWÓñ8µ|˜–™oW|êý)ýôúÇxºÖŸxÝî}^ú©Ä9q*ãL?8ÿ¥ã3²\õsÎgâgÇÏRO¯w GèGãc\-çá±>Å86Ežiè1Î÷¨ œ µ«†'Ÿë×x/ó€Ò?âÓ_´3ãeWM¹iãÜ:?0ípž ã¨ç›z}ÏúÚ‡UŽç´Ã@Oð ý©qL¿¾çËj—×éG úgÿÓÏÈ©x.êQàdá?ã|yUo燴?ƒ×ùûê— ¾õ`ßeý ãÈzÁùëé}çªGêEãÌúÕù­÷Jû<ýK¿i‹yPüc>M?Iñ»óPxžÎë(?hç…w|›ý{½NŸ,õ×ñœýxœ'ÔvLã+fÞm¾§ú¦·èßó:täõ8ûOç±´½±æÇG?GÝø=ÐâÉ ïÄ–‡E¾5gÎG¢êáøEãbÛ_}[óŒõy¨~Γãøzûåï«T¿¢ê/ãêyþ½&ú.ÖUª¿õL¦ÇôÛ3rØþ÷æŸÂßWò,ó•Æs¬/ìGD½ÙÇ&¾ ýï·‡³óZߟÅxä~´–·Þß³<·œýƒœŸÀtD¿[šùx.î;¢qO¨·óüYÿëöYÿãùœú;Ÿtúý ÌïðŸæ5¯³ø^™âwÛ'½O«ÉKúŽã7ß~Yýe¿ŽÄãѸÙßzò:8LãvzîøCï ¬÷ºÓöÒbŸ½Çõ%Õë~tcÿ<çe°ÁûVã2ìë;γêxãwx=”¸_ÔÓãÏ83¾ôåj¾£?¼/‡îjüF¿oñ½8Cö{uþ#Û³Ú¸ Ö7Û~ô žO?»x>ý$G7äõ.ôæøXÚÉþÒvsûzý”~ŸñݘGrœö ÍÎCh3ûÙPÏ_~”{©×â½ÌkZž3>âgýbû”÷íÆ´_ãä<”Ïü[àÑÏ’…¿Cün{ŒíÆaË}|ɸ»|ÑýÅøÞ=j‡ý„œýHÆñ‹ïŒ‹è8zãý:oß¾î{Ÿ•rJãl|ê•8~·]Õøªi¿ç=èJýù¯â;‰ãYá«ä•Ç¾ ýω#a<1Ó­×5ЃýH-?¨ûTäu#9ìüJÖ_$.\|}§õ§Ôã>Õ»–O˜õ¯q¤ {·è8ñâÌs™wGr¤ˆžAçðCÚkiWœ÷ußùsͶÿ;~Êþêð…ñŒge<ÇÁfBE^&¿¨œš~ˆç­—Éõr2~÷~ý€ýÄ/Qó3t~yçH}¥¾ãýˆÛÁµíïögNœ"ñY£þ.ò»Ç}ëa¼^µŸlâµD?É/=ýœWfþ£=ê·mÉODZ×þ¼Úåü—Þ—@GèevÕ.çcvü ý|îWñ}hòTr¦À-¬ð§ãkxÓÞ÷ìA_êû $Þ¡øÂüLýsþ†nèGµÃú–u}Çø(Þfþ]ÉÙÝ(q`ž¾¢ò˜?ì÷nYpèÓË8¨ŸSß=ˆ·@üó¯èÁö/êcüÛ½^µÿ—ã”ÒŸ:ï 3ž‹ò-ß¡;êg;õJþeü‘»ê?¾[ä%Q;¼Îñþ&í¬ŒüÏ›®37®©Ÿó2#OŒKqUߣ·Uÿkñíf?Â<äué–êI½LÿöCáû‰S y5éCrÍövÊqœª÷ÓèÊÏçú9îg^õ3¿'îlÜ7n„í»ìƒÒ:Þ+ö ô¯è”kêiüãoe¼šú/è2ã–ŒqÙŒ_\g<µú£ˆc¡’ÐU\§]Ñz|ã™:Hú!#¿$'ø.tíu¯íæÖšŽM—–{ÆɱÝÎvêáuõbOBýÕN«ã1è'çm󾮦_ô:>ô>Ðq™÷«ÞÎSéýLú¨]ÆÇJûr<ç8}ûczþN:—Øã=ÉãV¦Ÿõ¯ýöíßà¸2Ç'{ßH;¶ÕŸ‰_¦rì?ã¼\Æk²?‰åµí¶Sã×»Ðý×™‡dR~tå8Eók±oÕµõ*Ʋý ×e9|Q¼háÿÁóÆYÞ=*®#õ’ŽK²ýÔûÂŒFîŠÞ…ƒ—õq¾iô’Þßñ*Ÿ~J<©¸f}íù좞ߘìæ‘œO Ã õ‹×¶[溄yFý–¸uÿ¦ÒŽ¯uþË5ã eÿ©¹6î®óE[Ïé¼EÞ×òßúVÇ÷˜ì×nôT»A|…<´_…öIE|õA鿤þ†„o›ýdóÅݱ>L{>ÏS/êËï’oÙÏâ¿ïýõ%µËñ¡É‡”7É—…]×z?ï÷©ëSÇç;‡ý SÀ:›þN}’äTú?1¾ñ|'yκùì}gáw¿y9ã;ÐåÊ·N®ÔŸèg¯h¿¤‹ºüÝŽ÷­Ï©åq¾ªçwî¸=ç‰ÉxEñ›ç·Â?+ÎåI”‡þvÑÖóÙ^¼†0_ØÄz*?o Ï~.Œ§ãâŸ_òŽuƒóÐÒÿÆ ·])×{úþ¾èÊ~ñ9¯JÎ7Æó¬íÇ)?âwè¯Xˆn¢Ý/ýÑ9ã·!¾f=Ã÷Œ'h¿É úžó±xÝc¿vû-ÃÞ2¿_QÿeþçxïúŠßwÉx'Î’ÇGt˜øBðÊwÿÛoÀúç±°=Ðûuã :λ†kUøoÓß’[Ö³[î9®ÅùJ?í<Æ-É8Púƒqrðá;¼Ç~áªêC=Xì¨ß˜×¼>4ž~ÒEü¾¿ïªÞ™1®™m7ó¾Ðx¤Æ=‰ö¥¿¶ý ùÞeÕOöƒ\¿ç}­í­öã¿Cߣýö¿wü»ã kùl÷zÈþû¹ž’\Ìqf<*tê}íô¼cJëÑXoÔò—œS;ì×ȸy½azȼIô—êïxÌî%Õßù´R_¦zo‘yÎz£"^Díq|(vúŸu‰ñj¨·ýуíû<¿£vx?dyïýís½íÏ|Ÿúã’ÞÏñdœtßvù">]ãîýaú ©=Ž÷úÀõ„/“5 wÒyƒ»dœ3ÏßÖg¥¾vÄsÛЋÆy¼«òwÁúý°×Ž_\#ŸS=ƵËsœóbæ³ÿÓÖ‹YîfüU\§ÜR?ì«’Žáר—ã“îÑ}Þs¾+ç?H}òDå·‹qJú_Ç1å*ô š>ãyëAŒ“’v¥xÎøÿœÿwKrÌyIíœòZôå8ú;óaÆ5ýè}¸ãS<î–s^7§½úü¥¯ê}¯ ¼¾¤?á‡ûUç%sœAçÈøè~Ò¡ä¯ñÑÙ7çz™~Ñû‰Ó+~ðú(ýYô»÷£–O™?[í2^Qá·÷÷Ôè¾@^$î&ôƒüñ÷âwç/5¾ºóA˜þ3.ºÚ ãlè/õÛÃzÞ¸3Æ=t tã_ØÃ7Ûß-Wu òy_zõÔ{ys4¾™’çéoè ú„~ã9㛣OqÞ+úÍûÔÃÁ_qßy7íoH{X7Û.`\mï¼ÿã;éÿ†|ˆkä¶ó>8Ï°ôNG¸zŸú\‹÷Òo>žcØÓ8Û?†zÛ?›û¶'XÀ÷‹øƒxOù;’ž¬?€^DWžÇÛ1Ìöa¾C²ÿGîZßlýôÂþÜ~”.­Îi'‚TtHùô‡ùü²ž÷¼Ã¸;O†õ½ÆqOºdi߃.â:íYê/ïÛè÷œÏ4Ϥs|úõü ß9Ÿ÷!Åú&~ß™¼.âØËåx_å©N9ëoñÛ=:{ýgÿô/ÝÙžÈó™7:Òs\gì#*ÊM?3ñgêËâ¾×M[Qží»ê¯Œ{ß°n‚¯2@œ‘{5\ï]è$®4qo¨gü¾®ûð³óJY_O?B¦oã71NE|'íÆÈ7ñƒ×«é«z:^Üûï?ƒ^¿Ø>–v2ê׌ŸÚ]æïŒkÛUs~ ’‰Ã 9ÄxGýÓÏÀú<ëW’¾¡ä€úÙù3¬¯1®y‹ñ÷ _3—ÚçxQëŒï«¸Ó¤«Z>Ç8n5õ$âcêqÞqŸzÖòð8ÿ0õá;Ø3Š¼¢/ï¿3ÎXýn;UÍßÒôh9nÿHçƒtÞë wÕ¿…>Ÿñø¹qíxïû×Ì ¿#ßtåQôLùGã0nð;ò™÷ásø;óh"ŸO|5ÚɾÖ~•›ê'Ɖï[¦ÿ¯ä(ãbúIœÅ(:nÄ_‰ç ¿Hž×ìòŽƒ²_ïÿŸ±ÿŽÓ4«Êýáý<º«»º»º«ót¨îžœsNÌ0à à Cfˆ’s`@EAF‘ ˆAEQD `8âEÅ£è1aDœöqð‹Ìƒ©+뛿Ãø —ü^ý¸Óý»G~È /ž›˜G‘q9̯F»”Çãug¼ åX¯ýÁžzŸz$úYßE?zžèIï” t5ߣ½“õ*gÕEÕYC=›¾Îð†þŽ9.Ý÷ú±$ó0¸ÐgpŸvâ5ñÑðñ<>¦/ðµô‡?8¶q\£¼{ÔÃ0wVý<óÏÏrߨŽ®¾g>é=èß|Æø±èuþå9Wß1?Öy z]2¯ŸñôG=!áBÿ˜Yu‡™/bíÐNÈ<|[qŸvqÖµB¾ö‘í+ó®°^Xæ÷Ò}î›´0Ï™ÇCz¤¼Ä:ÆÆoÆù$½Î~ßtÃú¯Œï98z\Ô'3ÿ˜ïSoëñYŽ¦]+ír¯¾³<Ãó?ýZÒž ¼åÔ}>Ïó,øý9Oê· 'úYÓÞM¿FÚ˜Ðü|ˆñ\ãìS£üþkëty|´ìD?ÌÃÈx ÷ë+í®þÎãaþî §ÄWŒ{Öþ´ëàõ1?eBÖ¿b>þ´€}?ýfñ]ê¡¿ô‹Í8AÝgü õ¤KÆñ±ÎŽ×Ïíf>|[×Yõ„·`<#;†®£|æÀê’o›o꺆ñä¹x•öiÃë7ª‡:çyÁßçÕð5œtŸzk‡ùã<æcM3À‘þìäŸÌoïu3^çþz¤?매?æÏóóT0Ïå:ò]ÆŽò2Pn¡ßÏyOÆ?߇Às+ù#íðÌ;Çý†ôìõM>h~|ežÎ¬¯øç<À‡Fy,MŸáI¿wØÛFöh/õX£úzú(µ“ñ¯çç~Ý_žA×kÇÑóHYïa ë1+ó ã'ð•~†ÄŸÌW¼Î¸Y¬Ë,?+Ò¿ñ8ëtéÊ}*ëÆã=ÚM/Ìïeý ãqÌGÌWh_F´Cd=øGÆÕë=ÃëN?êÓ ÇyŒÏí¤^C¿ ¿E·ƒñ¯¸Þô £¿Nâ?Æ|xb~™çy½Ç:ÚŒK?Èñc}Îd\㆙¿‡ó`]‘5Ì‹ù?P§±ÇÇè}ê}觖zEÝ߆qSŸÌ<ô›cžhÊ! wôËýù'Ô·y½fÅ?Œòw‚ïpŒ‡ÌÿjþÂ8Lž/(¿³¾ú¬úW”O3Žx—öuŒ—u2è)ÏOX?æ]a]gêéÏϼú¬«Eÿ ÖÓɺãê×㣾ƒö úñ=«N‡ñæà2Ê{¦ï™õÝWˆÇzÎ|aÔ{y¿˜üì=OW¯Ï¢á¦ö2Sß›§ß—ž{ßJ¿Щ÷«QýÀÍòóxä>b¾~ÁzYY_ ð=<5|ȯÌW¨fÝ;žÇ’~AÿôocþînŸyØéïÇó íþyn>0}ÚÉ=.ÓñmÆsæ×É<™zz8Ãù´X‡Ûëzc·ëõ1}`½@©]r¿^Ð;ý5ž”gÕÅö|éÅø ›ùC8_æ‰áù2ý¿p¥_÷ûÌÇŽq3ªñzú©r_7Ý2N/óð`}Œ¯³êÆ’Þh þ“ßåúè7ãX™gÜù!,÷fž~_'Úí³î’Ç•£è/áubÜå¬ùAFçV륨?ñw©‡#ýŸÁ÷‰O‡Ö㦞qÅóÅ~ríñ|ãç<¯Ïªswxã¸ÓþÆ|wŒ›ð9!÷wÃë”ú*Ãø̺FÄ{ÃßvúŽ™gE¿Ý/õC£:¥z÷¨ë<Ÿcœ”¿i?b¾Ö±£ž1ý WÒàH=Iê£(Gè}æ·<Žq˜ž‰O³òŸÏò×fEúõ2?ý1¼¿†ñ¤ígœ<®GÆÍ«ÿÍxÏx½p@|A“ù˸?QŸïñ¹_Æ×â˜Ñ?ýuAgœ—ÛM~§÷3.ã9 ð1\ÌÇ©Ç5Ÿ0^fü¼ñðb\r®—×|–ý)Ïo gæWž•‰ñWäG¤ã_潜gé‰Ì뼪+ý­ý›ùÞ÷©×=¤=Òte¾e<ÙO›ç4ï–,GìÄ<ÝóVõ©ÇÕsã)õˆ¬×™q¥‚§÷=Óó¸0¯ñ¬¼ÖÔgz܆ƒð*õÊw÷Oû;ýÙhbcÆSÒ?#ýðuù}ƒžGéöõ<írÀKÏçä·Iÿ9Ã×tF;Ø(_ÔŒþ2ß3ð‹þ/yÑ÷Ì÷’ã×wŒ?2}ûöY´GÂYq½<§Œê)‚ïà“ø”q½àWôÇ3ž¥> tÅ:_ê±ï˜?¦½Á|ß|Éø¡ß{ïä“à/û7Âw\wM׌7?w»^Gó%ìó£|yžõwÖ%0~©ý5ŒÓùW¼O^§ô߾П#Ç¥÷™÷•çµÔûà}¯¯çO=…ñ;ëÓ©_Çu$ÿ£?õÄ<÷Y^d¼`Æ²®-ð…òÎ1¼ç~%wdœ(õž‰/¦;à›×ÓWæýa%Ö[6¥“õwHý¦ÇI}Mæ%6\üù øYæý~¯L_©§ÒÕp¦ß"õøÌH=4íúŒs`~Hú;SßeœtŒõÝ„~Sï¼`¼÷‡EŒÇß36Ï…ñe´sžàGG :£ý’ñ¡^wÆÛy<ÌóC?ª¬ó`ºÁz2.Úýø|”þ²¢Ô°þÈh]Ì/À‰ÏôÃÕE¼×’~hŸþl”/wn† ý:O€Ï˜þ Oãµñ€vKæ2½Ò߆þ;”Q¯7õÄcúçò(aþ<Çeƒù Ú˺6j‡vîYú Âõ2m:\ñ¼ÜøDòàíÎôëdü‚Û1Î< j×ûwú)z€o´S¯ëqdÞ½—þ†;æ;Ê“äyŸF~OhÇó¤?#ý ™Ç/åðQ¾Ó¡®ÉoÍß0Núyº]Úç–0ÞQ^UàåBú%_Óï´óxýïÆCæ‡N?Y=§õG{½~z~pÕoÑožWï¾82õÜSoaû óoŽò‰‚ߘ^3Ï‹ù:æIzó8iŸN¸›/èj~j¾èv-weœ¦éð3RžYŸ}$ï™.ôÛtë«åúéYð¸óÜÓ~§Þmß3oê3ŒÆ3¯—ñØôgþlú$_Rþ3^Ò‹ñA´÷Œê…b} —eÝ/˜WêÜÞŒ}"뻩Ýù÷Y——ç3Í#õÇÔ“z\>{ŸËzPº¢^[þÅ%‚. æ "ÉégÒ§®¬+Ä:†ô;É|°à¦ÃÄwе×+óµ˜ÿ~~:²¾Ûz4æY£Ÿ/ãˬOb>Æ•x½hw_A{¦SŸŸèÇÈüèÌ?M~lz噢=,óg¸}¬ é0ó;è;Ÿ ŒŸÖWZN~åoÚýRï§ö¨/6_g=AÆ«û}Ã+õN€ õó^ÿôÏÁüWCý”ÇËóæð$óEé·ûa^ðx?õ6৙Óp|r=uõoÆ?Žêã‚®-Ÿ 7Æ/džヮäߌãËz·¦KÃøáqPþ¦_õ°<¯f~hõ“úÝçyÖøÅ|öþžyÆÝOÆs›ß(/Ãü3aãx:_Óû›7ö›ÏS^ÓsóÓ¢çÆ[È®ŸØóU¿7Ž'Ç™v:]ýÝèܦvÍG,Ï£^W¯—÷1K÷ÓOxÌsýRÖ0Ï|Žug^7Ãy@X/„ul(o²N±çãuž•'8ëã¹·ï÷ÌGÀ?™™~Ô2¿ã2ü~®Úe^£YùÝýÚi?&<0¯žwVWæus?Œ3£ßéŠÞOùÂx <¤?Ø(‰î{¼È7ÑõP·ù æŸù”1Úgé;™Gœõ*¨÷e¾Ë´ã¢æäy)ù¼Þg ñj®äY÷ß1ßíÚŒ¯2œ²>’ñÐíŸuŸ~ì'Í8êÕ(¿±®%÷ãÌgöGñ›è‡uƒÒït3+OãoŒÏôÓI¿Vý6<_voͺ÷†sæ'Âú³ õ¸æ_>'2¯¡Ï'ÆÃyü¦óLÒ¿Y/‘õPs=7Ƭ3ÏçÌO{_ Oæ«5|g:ªWa¾az3ž^)`½’ŽG¦#À…çã×,¿j?§ÜÅzš¤oÖoJ»¤ëùÆÏ:f´ÑÎÈñ¥_ÆÏ|––YßbT¯E¿g‹ç|Ó™ùý,=ß%àGæ#p»jùv¯; ?(g¥^T÷waÆ Ö‘¦¿>ýq Ÿå)d½!æË<0º®b¨—¦}j ðϺ†¦{ôC?Ê1™˜øÓÿ—úQê?¨7|è¯Ïs)å Â#Ç ºgnüH;ëF¼ìy„ŒŸ^?=‡ßnîïОß÷sÞ§¿zæ³½3ß4ó)0ýE˜ç"û½oY–ç*ÚyXG—þ̧Ë<“Àc¤Ç×}ú3‚z`ú3_|æiÁûË€¯ÛgþÚåY¿œõ[˜—‘õǼ~é÷ |e< ãß­eÞ%|ïsã˜M/ˆ¿ÅW§ø˜éfó&ÿÑ{=_ª×WÏY׈õ\RÏá«ét‹¼Y]Þõ:ÜwhGa¼>í´ó¯Y?ü™õs˜+ý»/ºÏ8Eï‡szŸ|€zú“°~Fú¯è=óÛÅ“.À—¸On†#ýÓÝ.ñ–ù\¼ŽäCäƒÖÍò_O¾‹÷ 7Ó'óg°ÞùάzA£ñƒò¼;k¼úMù5åv½Gú“ÚßþÌ›K=ó Ð®äyͪ'F;ë6ßØŽíP#}*ýn}ŸñAôÏ2Ÿçù3óq˜Àÿ¬w°ýÞíÓ¿TrШn]Æ_è·ù0ëÒ²>ëxe^®Ö—up™Êãw¿éG÷a÷Ãú„¬›Ãz¬ŒCb¯'ý•yn3R¿E{é?óš`^)çƒîÒ¯K¿)Ïðœ>ªc„þèø7Ú’߃ï¤_èÃðÉ|Và;´çпÙãf]×Ì_~ây~{WæQ'Þ0Ïùý ÒOSí2õŒk¤üE¾Âx™´a>£<x/õ•Æw¬ëAúyîkúÞü7õÔÀWã¥é~&<¿Ð¿o”/xM9ƒû°ùÄÖ×ý[;Š#¿0Þú·¿§_/íëÔÃf~b¿º>ˆ~¨‡¤(ýç Çž˜0>î_†ã!×ð{¤7½1󥥞|Œþ)ô_`^~Ö_>ˆç擬?“üó`ü>õÆ+/ãÐ÷ûø3ãéÿMy€úBÚÓŒ_ä·Ì Îxäô³óúƒþy£]‡p&þ0?Pž'ŒW3ð•ñ+I ÷ôÖ}Æez<ÆCî'¿¿cœý$è?ÈúZ´—ç¾£+ýLW ü¡„y.(N<7ž0¼'sºoþH~’~zŸõYRï«ûæ÷œ‡áo=JÆÙcÜi×¾Å}Û[˜¯…um’¿a<)Ÿ€oI¿2²Ÿ2>Ñý“è7Ÿç0ýfœºáO>Æür´¹=æ[£þ–ñ¢É¯À¿¨ß>‚þ(O0ž#ÏW cž')çy]²ÞÖ#÷Ãßüt@;õ2ðxý±n(÷—Œ'05ý®©?È8'½g}íÔ£ø>í)ŒåÑ]’Ïe]/´“rŒéø“ç<ヾóþ9Âs¯ð–~ÿ¬w¤û¿@=Ò¬<ŒgžMÓ‹é”û2ýè×Ê:,ÆÖMã9…þάïC; ãf½¬G%¼Èó8å.ãóœÓÏÒëàõôþŸü ø•þ€×>À‹ç/Ö㣜—x¨ß”wwáù1ÀÉùZ/hy Ï#¦ ÐÿÌ—q`üM{Ï™ßóc^^Ç |ó¡|•y8Ú{ŸO<´ü´ccû£|Œ™§ ôI¹uh/™G¿¬cÏsã(ï©÷ àƒé-õ+êgã'~SKyeV½Ù5À!õTæ[Æ[Ðý³˜×zÊYõîÍçoðKzžõRÐî¬xöìÇó÷úƒ~XgœvÚ½xNúqÿÖ².¨ñÕç)·ÇüYÂ탿Sok?aê] ‡‚y»ß”À§Xo×vÚ§Žbœ–›ó«ßô§ ¡›ú(žÃӿпծáîu§ßëᤜb|Ü(_ÓÞ`:ùsÿÑw³Îy£x+¯ ÆI?‹ô;U;éW¥÷Fõj¼.†‹®ÄûôëÖ÷)z=ÇÌ;5ƒßïù\¿™ïlEÏGuO7Ö%Îø4ã›Þ']0ýàiç¤}Ÿ~l´Ï1OƒÛ7ßXÆ|sÿÓó9àãù2^ÄüWï‘Ïzß[Áó½7ý 3>Åíãšòˆùšù‚~Ó?ˆçpÖûd]ÊÌÏ’~ÙÀ×Ìëú_Ò{Ç ¸2ž›üÜð4žÙNE>–íè=ßrëÕ\'A¿ž É×LgÔ;ОïñŒÎå~ÏøàßX7ÆoÌŠa<ÏUäû³âc™Ÿ"ñDïg|/ð€yæh¦Ÿ·é„øAüÎ}ÏI~Ïx“ù'uÕtõ±ÞôÎ}„þòþmÿ,óÆ‘±þsÆÛÏà7þÎxG{MÊûúMûóqïÇú/¦_Óã Ö…u7ÜŸñÉû%Ïåð;L½–Çe¼Êº`À?æÉœeWÏsÏÆ}¨ç%Àxé/ãqZž3þ²‰ÏC_ÑsûyÑŒ~UÔoÍŠ¯4\¨ŸN8Ïô›úAÆx¦_­éÇøÁõ`þ úƒxݩ秿¤ûù§éýÌîû†£®¯éu÷Yç“v“Qž/Àg¤oÔûÆ?û/0 ×=õ!Æc<Ÿ_N6æW£*ë´_¼?2¯ è7ë7ÏÀÏò<çuÒNI{óoèH;Ϭ;žz{àcòa¿§ï¬·ôsêï×LÏ^—ãK>ðeÜô1ùõúÌïÌøQŽË|›uKFuŽˆ'€óm3ÿÞ¬|¡Ì;Ì8'Ú]3¯‚ñ_÷“ßhœY'|„v.ÖÙò8¨™•ßÅøõõ€Ç”3 wúæýB×ÝO¿4]éÿÃwV^+ÊËÌgžëø%ÜÔÞQ|Çú‘~ŸõeYŠü%ëb}2O…ñøB¹oäO†qPnJ:üóÜîñ®ÉG™WÑç?ڨ϶ª·­vŒoÌÿÏsíìÄkúÉf>L¬ÓHÿªû³ê?P>¦ó¶Ó¾L¿k¯£ùOæ/ÖÕ|HãïçH¬óÇÓ.›|Âã\¹_äùÙt¢ç>­¦Ý ó4þyN4¾óf81nõ -·0ïHæ/}1Ï¡ÛYœ3OÖÉóù—¹=Ó«®^gÆÓ¿Šñˆ3릒¯3_ídÔ?SÏ›øíyëJ»@Ö÷ź»ÆQSþò{~~óIÿ^®#ø$ãz¸yý2n*ë2yÞjg;ú¥}7ûÕó´G€ÏÑOÌãàùg¤/SûÌ/O}KÒèÝý0OZòóiÎÓxªëhœ™'4Ï-·éÙýê{ó5Òãȯó2ü3>¦}—z0æƒæ¾’r«Û×sÃÑvvÆ¥ñ¼Î`úf}@샦“¬o8ÌÊ?“~œXoÚ-’þA‡ËxVýFú!0å!Òéx?ÆMù;ãIŒÏ€ý}©ßåù€ç5ŸõÙx{V;Œ;æy“ü—væÔ§›¿£úSgžU=g}ÿ^G¹î0Ö—uïÒ¯_ï„qØ>Ê|¯Œ³§}Èø½ˆyÞЯŽõÔM¿¾oû6óÄÏ⓬ÛIÿJÆÛPßA>H½žýb˜_ŒþáŒ;0œXßù¼¹_– õü7?àù€i?`ýz>geâí ‰¯ºŽü}ô½êålÄ›œýlFñT +æcüëð7é7ñ|Iïy}i¿aÜGúCëJ¾ç+í$¬'ÅüÙô÷'ÿ˜UW’ûlž?ôó g^Xóð ÆæùÙt ¼¥Ÿ:ëÃQ˜ŸH9€çOú'g¼è‡þ¦ô¢?ò·‡u%½˜ÐŒùQ,-à}æEà9Øý™þfå;MúÂoÄÅíÄÀË\àÿÞ+ºR¾Ÿ•/8÷oÃIWÛ‹XÏ,ëɑߪã­û;~³¾“îûºŠy{Ý-ÇÒÿ‡q¸¤gæ9É}Üë‹õœå?Eý‘Ç[Ð?åf·“u±î”™ç™õ­iï5>ñÜȼDºÝg _¯'ð„vÑ´cèʺ Ô°>ãIÓ¯ÒWcTgÅüLß1Þ„ñW\'Ã?ë3èšuïõ| ®Ä?ó+Æ90ÏAž“ç¬m<å Çø¨\Òw´w±þ‰éñLà¯y.`~ZæK1hŸ0œXOÐëõ„±~¬/7ª_~θÀYõhÿg^yÃ…uNý¯éÊú_Yׂõ4<ÃzMÖýM¾l8ªúEÂøfå©a\ýqg’öà㦘Ÿh3~{¿0Ñ/ íYÆàEÆOa~i‡0|ÍÕoâ¯Ç‰ïM¦£5Œ;ýOOö›Ü…ñ1¾…ò6åwæ_ =œþí¬G}óiÑOÓû4ýï˜ó0Ÿ[ò)Ðááu^d|8ãâ²Î´~³Þó1z^ÿ¯þ™‡Šzïô3ÔsæOã|½^<ÏŠ~îÌÍxÄQÞiý¦_6ýË2_ ðg”Ïïã=®ó;¹ÿÔÃ`Ü¿×g”¯ߥ½ W·Ã¸hê­ÏÉ8,Ý߉yÞÌ/ǼèŒïÍqh\nŸõéÒ^ïû|Áz„óÀd= à«ù.ýúõ{Úãx™W˜qîz?óß2.wTÏJí­ß¹nŒC¦½öæÜ_gö“uŒ—ºš.''óGìÀû£<ͺÒ/Éãe¾0Ë´ÑÞ:ʳ ú §ÇÁ|gGŽ~÷â7ùÒŠÇ:›iŸÖsæéÌzdn_W×áý Ö‰~ŒÛ5ŸXÄ|éOϺ½Ç°>Œ»d~ŒÌ›jüÕ•qïž'óÔ³~ý 7˧ôÛO>¬÷˜„çNÖ H¿½Ç¼š\Oæw2S/¥qòágj¬õbˆwå{£‡õc²>ƒñÈëIºÞ^>¥Þ@ïY“üZ÷Sßa:o¿ÓÏœu|Éç©N»…®wÚ'tŸõ¢Gq,ºo; ùóZ0MòoŒËãÈýxçßKú~Nï[þK;è ë®ë·î§Ý€ùo¡ßQ}ÃWÏYÌð"?d^ZÊ#ÌÓ+¸fž™”OɧÑv?ƹÿÓ_Øô£ïéß•r¶Úñº3ß¾á6«Ž!Ï¡£}X÷i·õ¼Nž¦;½Ç8>ú7fœŠûÁú3¯¹ñÜüÜüšzsÊ?ô»I¾õ ½ÙçJÚÁW±o¬«éu®fÕýc<õ*¬›0ʆïèÇm}ýFù±ÌïÊü¾¤÷̇<0½gžp]§óÌ“vÈ5¬ õÌÛãyoÇ÷iÖ}ë/6s]@iïÒ{Ìg’ñÊ~ôD¿VÖ·Éxµxl¾–qN†»¾ó¹×ûí·³â ÓFï1_;ãþ2·ù9øÁ¨~~sýMÇÄÃ̃º[ñ:ƒ)ÿ°=ÊW\æ76ÞÌïi|2_3ß]Ô}Ë –+èOJûódÞLÐsÖû1žŽŸÃºN£8GÐ×Ã׌ ôxô>Ïÿ¬|R¬¯Å¸;æ?7ÝPÎ$>æùã§?²õíþMÏ?í$áÒã°^æ{ndç1Àw“Þ½~€‹ça|§¿cÒ§ß3¾“êwÆ3êýX׌3šw³ü?˜¯:ë£é÷H?ªv¸ß{^æ¬Ê:ß{ÏQ<§Ç£ï“/aù>óK0ÎÐøáu¡œ˜øçyÿAwôÛ`›”Çõë.òÎüë gô˺(ÌCJy’çJƉ3þˆûyŽp¦¿!õîŒï œD=Ç(~Úã^§ÆO»Ó¬:3Ì—Ë82·S0¾¬Ã¼Y4€7äÇŒG¥¼Á8ïWé'€u#ÿ6]àg~‚ýƒñ“öc}"óÊeôç1<¼/¦=ó¤žãÙ õÞ¨Þø¿gœ¹ßÏxVÓù“ÞgóŒ§ÿ…áx£Þ`ßÏ°¾¬‹Iøxý—€ÿ”ߎŒoÌnøŠOŒâ]Ó>‡þ=æq£_ë}ÓîÄ}8õk¦+â¹á§ß^7úÒ–v>ãéDíÐo€zÄs=_źz,×Ó^“þÙ Ÿí¨}ž×Ò¿ƒxí}@ß3ŽVœ&㘼nYÇR¿éÿ¼é~ºú½ˆyd¾9ktg82ïó•Q.b,ág~ÄøËOÔ›0Î1õ ØÿÇ‘uXðÞH£çë¯0ÎÚï1ßwÚcô›ñwÌG@ý̦+ófÐ?‡rƒáL¿^ú—Žü¯ÑîªéëìûÌßçvŒ<_¯àûQ]½Ç| ô«:€y3¯&÷÷cüæyÓôAùÂ÷Óî£öéÏ›~I'㉹±Þ€û£Þ˜üÃû ëP¿”u­ßž·ée¤ÏR$ýRõ?=?нû5^f>1=ŸÇû<žÆOúadÞM=§\2³^øýW'–úã+ðÒýÿ˜G,é×óþN†«×ŸyƒQç:åÆó¤Üëñéj9ÚýSOïúŸ™Å×À_(Ïö+ÃWß{½rÓ{ÞwÓ?Æófÿ)Gû;Œk”/ øDý óT$úÿMG×ýÇF:ÏßÜèç̼ ´ór?e æòw´;Óï†ñ¤gæù$Ýòâa}XWöê·ÅºŠ©Ç=§| >A»€é ù)æGÿ]úõB¿Ì7Ì:x¬Ûüáô/0_dÜóG°Žýyþ!Þ¥_!èzQÏ­wµœ–|ðó¸ ‡~–Ë™šùÓÈ/vb–gè‡Gý ë¿‘æþ¨çÔ#pß·>}–ß7Ï…æ³>oÐþÅ|zþÞã _ö!ŒrÌ(2ÆÃø1Ë£ôÇ1ßH»~§ ¼¤ÜÈ}7õÞÀÆ×%ü§³ê3z>ÌÈxÒÄ/Ý/º¦½ôlø1.õ@-w¥]Äpðz¿6âkúW®ù>øýKÒ?KÏMŒ÷aÓùìéW—õ¢ ã7Ú1Ü=òæÌ:¥ùKÊ-¬Ëfxd^¬'íEæŸæOŒOŸÓoÒ»ß˸[à%ë•0¿¤ù9ãÇ©ç5~fœ‰¾Kÿ&ãWûþÆ?ÓóM[¿L?IÊ?´gSl¼Ý„÷RÞu;Þ?õ›y÷ ú3Žw­ö¨—£†ù•HŸÌgÀ:½Яñ˜züŒ³‘/ñÜaúJ;ÆE}fîÏju˜™§ù=sŸÀŒãæÅú6¬sDÿQÆí™ß–ú¨=hw”§°]Ó¾èóý¦=Þ̃ú3óå/ã¹øLÞ_Æwð›Êñl¸3¿ÆϺH¬<ÒwëêvÍiN½ðhVÝAú×zýWf<±\cûDæ§Áþáñ1ÏuÂôÀúŒ§§MžW@§«À«YyIÓ®hú¼ˆß¦ó]Ç1oóÏâ´71Ïø¨.¡ñðÍ<õèw¦Ý_¿±n^Ãï¾ã¹/ýg„÷ŸÓsoúΩï2ï•®¹o =Æð<7Ê £öÓ^c¾<ó<?|Þ1™~y~ôúîæþNíŽüª=?}ÏüÐÌÿpß{ÿE¼gòç5¬·çE9ùþG|Z¿i§¿zÚ uÍ:¥^ÝßöY¯‡þ*ô×^ñwæWîß| p˺*à¿´ðÜ;+Ofæ­ðûž§®Ì#̸Úw˜ÿ3ãütÅÇa?ØŠïa~YßëÉú ôï§üǺDY‡ZWÊÁÌo’þÀ[ú‡Ìª/Àx$ŸKü›u'¹¾Æ‡¬?ïþ€Ÿcºa|%õÅ~Ÿù²N‘î›/˜.L7”#²ŽˆéN¿}>N¿"À!ë|‚2wæÿsûÀ{æ¢ÿ¦á˜r»áíq/¿}>%ßÕý<¿oyÞ÷ý9­çZ;i÷ä>´ŠñÌŠHÿ(÷o<Яƒù' _Hþæq§_¾gÝ Úõm8ŽÎ[€õo¤ Ú}va\¹>Æ[µÇ¼(´'3/åcî‡ô›!½Ñ®“ö9̇ø̼ԻϊŸO¾àyéj¹txÁº{ôwã~H<]Qû†+ó±e|—×»]ó\${]âÛ*ÆÅx$ËÞ?O`ž§í‹Ì'cý«çËüîŸxËüÙôÇ ý‘r¦ù³×Gü6õï¶÷íŸhÏbݦY~5ô{Jùû"ãPœï–yþ øýôè×̺cÔw¤¼d¸?ôÏukº?ËŸ“tL>B{”ñgÄ0~Ê×iw7£äWÅZ§ÿ’Ïä+”£ÝטּqÒ/ýyÒ^4Žî‡~M#ÃYã`}JÃ%ãáÌ›â~é?c:5=Ó®k8XOŒ|/=ÈpÇzÒþCÿôô{ô¸8/½gýlÚ]=^ð‹Ä=§?õŸä^×ô{A~θ+ú9Ó›ökÚy^b¾ÀYù9¿G{>ýyü½çO ž'¿5«.rú™ßÔ®åÔôó]¥^Lã'~&=`<Ì«D}sÖ…_àyö2æßq{©çÕ¸ß̓Ñzëc˜ëSãð‰ù¦N`Þôw7½yÞ¬?ëuN=á‡yRïÈü­éç`zß¡<ìq,¢æõúêSn<®”§s\º2ž”zgëó?£ç£89ýf¦Çm:7ž[Þ›Å-×Ò/˜ôË:Á$Æ?Ó¯Ž~´П‹ëÂõ ÿ£}*õðæàë³ôÖ>¹?Ï#ãxÉ?€Gôߥ]†y×èÂ|¸äóêñ-kÞ7ÒoÓt|2=džyŒ×pf^6®³÷ÖÇ`ñCøžv†9}O9žëÁ8îc€gžïuM¿òCìô‡bÝO¿g|`^ÊwÐ/ë+2¿íØÔ˜1¯ý€#óçÓŸç4ëå(oNîÇãöÕëbº¦¿å”E½Ÿ~Ö€Ÿ{Ÿ§ßòK½Ïº¦Ô#-_ïAio6>ê;úïe~óÀÏç9΋ñÔãfܼßÇ|èwç}ÂWæqóoûÐ_žvzÖö8éO6ʪv ó½\_ß|AWÓë S>¡†ðœ¥?"Ê|Púžú:ÚÒGÏíàufÞ<ãµáœþ¢h7áƒkžÝàëùŽü‰½¾n|7ãùñžÛc\¤ùóÒôëàzP®Ìü£§ž§^øG;ŸáÁºÙôÇ3\Ó/Þô¼ðºmÆúŸ= Ögqÿæ7Ìslü¡>…ywI¿”—ô<óÝë9ó0îÐßÚÍ|“ÀÌ×ñ1ß ÷—Œ“q>YE׌Ã1_0¾éþ¬<<þMÿòoÊ ô·µ|èuâybV¾EÆkêÎyþÆ3ï/€3ñ”õ6/ɼYÌÛÏü<¬«2ŠCÐþHÿ"óP øI¦]aV}XÚŸÉ?L¯~n8ÏŠwb%ãFñuz/õ n—ø8ÍŠ·÷8æ°Þ´ËÐ_€þŸ¬±ã¾¦< xÐoÖðÜù™ÇÝüÁãEûŒC =”q¹óè7ý«M÷'õ5OÆQ^à´7[ÎåygVž6ã7ýͧÝ꥞T ëLý%ñ=÷o¼Ï¼Œ7¡¾Öëi¹Å|ÉöÏs–]$óNc?Xå}Ìß|·`>Ìk6Ò™®ŸŒÏ!ê}ó…”<gþ'Ýg}cÆkSÎôüÓíÑn›þ|à?³ömæaü‚ç;+ë?Ñ1ýÂô›zKúÐ_–þ¤GîC¨Ï’xBÿŠãøÎôìùÃ|hgd<㚉7Œ“ ?Fúלñ>ºo>OýAîszî+ý0ÜÞÈO|‡rùÈqŒŸy:˜ ëcržÄ]=^ú©î@{ ïüƒtÎ:¦ã˜WÊ#jóÝq¥½Híê ˜~ô;ã'tŸòåDúG3¾ñ£ºG~xE¹ãN¿Ö _ÁzÒ„ñž7õýŒGöûôô5õJú>ó¹c¾¬ºÞÏ ñ\ïeg¯'øè¨Þ+øóëzüWÆ~)ÇaÝ3O¹éÔóÞïÌ[œûø…ù’çÍ:±Ô㙸ÏϪË0«Nóâ.³â?©&N{ø„û#ýÑŽ™ãÞ0®ÖrFæ}ñø̧°Ž#û*àíQOÊ|è\Î'ý꽎à‡«ûùëÏ8Ãß(Ît¸{|ܧòþ˜~k†?ð›ù?lǤÝÍøG¿‹ô›þlÀ/û&Ósæ'á¾C9€ôO»©ç›þD^GÃQWžC³^àCzK8˜ÎtM}¡Ç~Â8í̳à}Âë |a½c÷Ïø Æ7ù;ú;Žü=N¬{òcà ôCù”þF|/õèæg¦;à%ׇñ,kh—çæôgÂ:2¯ø¬¸Dæ b~×yÄY§ùÀf}G¿Ç#øÍúšê'ý§áïX_xVžDò““Ðã4<ú}ŽêÛéïj:÷¾ÃüÇðÛ|Æx¸†~™6ý’ý½ñH÷Y›z úIÓ¿›òyÆ£_pŸvîÌ;؞繊þaKúŽõÛ‰ÇÐŽñpÎtüͺ¦ÃøBþOqêÉ3²Þ³¾Âp§’rNžOÿ€«ñÎp!ýÒ?>ýNô›r†åzìÔƒ&üÀ·2^|‚ç뜗û_3Ýçza<¤ê{?ï~©\M;%ùøCú]_ðëñø}÷O:öøféÁ³N~ÓÅxl:?2c]h¡ŸWž7u¥~Øðaž5ÊY¬7™ò5àœuœôœq0iOW;'ÀGRïìõÕﬥ+ý¹¼þ™‡g#žäytÿŒïY¯ˆ~WÔò\£=ÓñÀoV~g<;†urûÔ¿MïÔ·±n6ëádµÇkºÄ•ç„‘ß#¾Ï|^àSØF~tô#ð7“ÿs¿(îpõuTÇ|çRÆ°n*õ‡+˜¯ñ™öYã¡ý‰u‰™'0åRã3ø=ýól¼ð:y<^G¯³ñ|‹þ®´‹n—ª÷L7³Î‹Ìó-|H¹+ëõè:Ú××Yy!=¾Ìßk¾àuÐ}âý¢·Ìü0ô·¡?4õ†_î»þÞüóaÝFãë ³uú9€¯3žu82~ãå…6¾aþ©·Õ•öÂYuòh'ä¹Ôx¶ý°.׬ãfñGãÏ9£ºo oÊ‘Ì«ævyþËý–íêÊü¤Ô±þ¥ßË|Ü~ßøªû¦ óoî‹ŒÓp;éãu?àùƒúKúCQ?Gú¦œ˜çAà ¿iÕ1¼@gnŸò7ý¤3¯2è™ú{Ös¢aàhúfÝvÆ Îªdøç¾>ƒ®èG´æ«Þ[Eûl~2„å·ã}yNé—ò¼®Æ§ÌŸ¦+ýÏA_ÌOJ½uÆÇ ¿ôÿ0ñ¥#ûè„ñJÉ_Ôõl¬H¿kæç§>.á¢ç™çÇðžy<\Ê}ôÇ4>-¯ÑîÄóKÆ©ºp%gœ/ó5¤]Ü|ÇóÝzŒ{ðye Ú¥ÿów{Xv”—H¿™y3(§›éðYñ|±Ä?ÆmÒÿ‡yA·Å¼#Ô_Òßý›_ž¬1â×jŸùŽü]A¿#»*Ö?å$ÂëH?"ÖIÝûôqÿÈÓžùÍÿG”/ gž«¯Çñý?™”qànŸvxæðüG¬ëàucÜ™uõœ~I~Î8vêÙ3ïñc#|{> Çß™þgÚóœ­~Ì_ü>õ$´»Ó>pÈ8h̃u–s÷~é~ÀרO7ܲþÞÛqRÿžðw{À££X×XGú!3Ÿ0ý©¸OS_ɼWê¥õ<ó¿¢êõÝÞ ôçv—/܉÷ô«É¼nh×|Žq²´çð|Có;û‘ð|Dÿ\Æ£>† ùóš¤<ªvôO`½úÐ>™÷1¯Yþï£:7€7í,n”çßøëñSßb¾<ûïŒ3ežEÖ—ô|é—ãþéß—ù½¾^'}O?ÙäsúöQÃÙ÷ÁgXg‚y& Wã—¯kÀ—˜ãÞ˜xÊü(Æ æâ¹’q+™WÈϽÿã{Æo_¨‡Éýð6œèÀxiÆ“/æ¾DzÀø©ïb¼íH´WmÃ÷ôŸeœ§Çiy”uŠ<¾ôg<˜Ç“ú<Æ­1—ñݬF9ˆöË·†³×ßùmÈ× 7Æ“±.1ó;¬¯“ú+ÃÕt þ@~íöÒÿ¥½Ÿr%ó{~¬oi<ܸðœ6ÊϪñ>Ë€ó!¼ŸqŠ€÷¨N¢¿÷¼õýœé\í®¢êW×M=SæÏs?á8¢Kò©møMùôc~2,ëm«¿ã_™ÃøÇúÞŒãIùÞtèõÑsÖm¤<@=dÆ£›îÕnÆ-é·ÛÍóª¿ÓóíŸ3ø~|—ñÀ«ô;%_ÖsÚͨÿçù”þVÄ—ÔSèùøP¼lLý°ñ¶}—öðÚãðù~ˆÌ'ãüv_0~ÏÍ?ܯàœï³^Pæwðº›_€îGúqÝ·›ùöõœùf¯ÜŸ®þMSÿÎóð‘öuæ =†ï˜—ÊótÿÔ'N~nþHÿ[æw2Þ>úóú²ž¦ùµé‡çbæ»Ý…v¨Ç0ãùú|ãçHÿ¦ß¦ÏŸç[ÓÉpòxÒ¿Éxåv4ã‡×;ë|›îÁ'OÂ|I#{¡éK¿O€Œü @3ìMöƒ²ßaÆ7RÎñ>åq˜ðüÌzÏY§Dï±~بΠևçx¯§é€ñ¦î+O©«åŒe|Ÿò–¿k÷“LÇ'a>Ì_c¸oÃü<δûè}Úûiï4^’¾w£ʹÔÓû=îW”³h_6ü(Oüt ðdžÃÍtÁ¼ß¬O“þëúŽvaîˬ“—uçôœñ̃müázzý™¿uY¯ ó^c]²Ná†÷¨ßôú_ŒÉï/ÊKŒ§a¾\Ú× WÃÁ~²_ò¼ßÆ;úѳ^Û"Æ•òœ×Iíy–¿è_I;[Ö‡ÞA7’“ò<>éuežÙ̧¥kÚÍtM{ Ößrnæ«œh7¦}ÇãœÃ>ÁþSÞöº߱Ξùrú½ëyÆG?¨MùÑßsüæž·®ÔŽòš¿a¾Œë¢ÝùRóœ;ÅøÒÎ8g^(Пñ*åLÐsÊ~ôÇ|&ôS6Þ§žtïùò<Éø_ÖGd~üÔw_æ0núq2Ž~tæcô[^R;¹¿z¼º&\ÝÞc=ÆÁÒO–rÔÆÏýÏüŠ|gT7’xø¦^ð_\òjzÐwÔ'2ŽÛp3æ9xC;‡ád¾e}9ë˜ú=ê¸n^oòú1ÑhÖùÝ|=ý#€¯ê/t~ þƸ>Ï“ù¯¨Ï8:ŒŸr 딓0o!ó»0ü¬¼ŸÔ0o íåð2¿Ëó8ãgOùgôÛënx[~a=IËò‘¿s»”Sq ãñ¾Éü’ž¯ŸŸ=3ÿõlÆÆwqßO¿ð+ÆñÓžëöwÉG1ÿŒ·½2?ýÒßAíx¿§Ÿ?óŸœÒO_¿)¯‘g|ðæéM?Ó›é•ó0ÜÀ·nþÀøöŒŸ7ŸÔ>ýɘŸÂòý£¹Þžæ¹3Üõ}úkè·ñžþKÔ;0¯4óøSî¡Ÿ7ý2ï´®©ßöÕxú5œï2«ù åóCêã}^O}³î[_áy.ãûÜgô>ó}¤_=èÌß1ž~åôg5ÝŸ³.•ù±á¡ïÍÓ_ÉóÐ{Ì—Êüv9ÐÃ^ŒÏëLÿ~ÖÝâ~áõ2ÿ6R®e] úíÁºNÆwÊ·î7ëYŽÀWÚ'üñ(íwê'ó£€?¥~EW¯ŸÛaÞ¬¬Sâ÷¼NæÿàÏéG ¾2+ÿé’®›ÐíÛÔïRn"ŸÊ}Ðë¼c£‘ß~§½IßóÜB»(ë0ù~Ö¾3΋þ7õµ¬#fxÑ~Ä|ty~ÓûŒcsÿ‰·úŽy­/ø‚Û<¼^Ö—fÞߧ=eí³^iêÑÀo½þ»0?ÚÿWÀog꿘¿„õ•ú Ó%ž§þëáñxþnwà|Õt‡qR¢žÉtI{ñ¬¼Ô~\ñ}ð Ÿ_XÿÚ÷Y$ó,èʸ¡ô[ó}ãø"ãœROýšö‘xÅ:,´wÐþÎýÙãË~Ðù¸Ç ¿Âë>¾5Ë7å3Œg3ÞgþNÚéÒ?J×=ÿ¨®«éOí˜îX„þÓi3¿24>ú{ócÝO¾kxâyúaš`^¬Dÿ|Ú¯FuõÛð1=ëšö¹QÞ/ôçïFy¥GÚý×ðå»EÝgüˆÇËõHùtM}HòM¯“Þ÷>fþn|c½æý¡ßQÚt%]°Îàž{Ö³ùjy2ýmô›ú Ó×æáÓó _Î<zÏò¤ý;>ß÷Q—Çex£ö]gÞûç(/èÀü—ö²Ì{ :¦ÿœß3^-?€_Ô¹?Ÿ³X¿ñÅ”[gùe¤ÝÑÏÕ¯ù6õEËx>ʇ¬ëHçñx½L÷úuÝüñ|zœ”kŒWÀK·Ïü9ŒÇHÿà)ãF—Õõ´k‘Îþà3ôku{+ºO¾B»3óÀ¥¿‡~ó¼žy 1^ÊôÛ§? õŒÆoÖg~KÖ墟ý×-W²N óx]¨ÏH;ø|òó'¯/ða”gÎãs¿ž¿îî›ç Í{ägoº¶žù€Gqí´_±¾ å’}è'ãd'¬óCLÚcèn:c]ÆQ^=÷8Åx Æ‹¦žøCyà æËx쌇ÁúïÃ|ÓOãaÞÚÿýÞqðQÖÅd;”;® Ó;åY¯ý_Xgø8Æ9ÊSúarñ§^_ød9’õ5¨¯å¹˜ù6Óý3¯6ùãá¼Òß„q‰î;Ú]õ|°>7íjàש·å~êúìŒ×aШ¾„®¬W›ñz?¯àÌe=ˆù÷ ÆïR?ÇøMê 'ÆW¤½tI}jÆßôåuÚ»i÷r'8ôcxYþc^©Ô¿fÖËÅ:±>ë2.…ùdyNdLúWÑNfýÔŒOX_ã9ëÉѯƒúó+óóÌ'¿‘Fö•ƒøŽzmÖ  ÞØëÍ8úó0Ÿã‡FùâÖóå¸uŸþÜçÖð›u{}n`ýÚí(˜/1Ÿfæ9þR_E¿oò!ÖÏ:b^Èž×q´—v.´ŸõjÐõ&éWãùë¾åš¬—þb}%ãsI7ôßÏ}ÏGö^¿G~øÑ/îàAüf~ëø/¼~Ìšû“~SoÈüPée~8¹ÀÝü€ö\æce>d}7²sR~Iz0üפ3À×x”ûˆ~G{ŒÊ:Æ{ÀÙû©éŸqòÔCój~’z{ÃøÊ÷Öðœö_Æ1,ý~¼Œâ¬AGIçÀ[æ[Ý„ñdœ>ÚM->7z¼€õšÌiøz¼ÌH»lîãÆsÈ Žƒøã‰ÞÏs¤×p`ÿœ?õÑ̃z)}pMº¥£ß™WWWóAÊWŒ£¢]jy#ßKù?ã¼j‡øËúsºïó¼¯ôûL_ýF]ãQPÆK&ß$ßr;†/ðÍr濉w¦Ö}`ÜýCX—‹õ¼Î>/Î 'â ãÓx>§¿ñ5óǨUŒƒò ýȯ˜ç“úóý÷Ú›e¢|yßñ]æsÓ{ÔÛg|+àÂz]ÌÀz'¡=Ö¡~‚uʘ™û{úë{ó©hÇxCÄóЕ|ŒúJžOYwˆu€Œô33½ŸW1n槞‰~°Ì››ç*½Ï8=æ¡>:e*í©\Wê…É(W‘Ÿó¼È|öÇñÝÈýpü³ò îÌ;‘õ›§ºO}(åªÌ{ úÍ:jººŸú±g~qÐ óØg}Гùˆé&óϳµO¿ÂŒ;1?7}›÷¾¿èyÎX¯œ·èÑz%Æ-{?c=c·Ï}—ù±˜ï)÷_ýÎ}ýΪcÅó”é‰ö+ž?È÷ fJóÝ5¼?òÃĺx|Ì»dü¥¿iê%õ<í6¾¯ßz/ù¥ñ7á©ïY?kVEÊ^_ã)ëÀ{¾iwÞYÏê«ÏIÌ×Àx-æ9 üžòñÞpÑýŒS~xÜôÉ}ØãÐûŒ£§ß çA{/ý§˜7Ÿû!çÁxú“2¯Æ¬:ÀÞ¨ç¢\O½oê£Æ“y]™¿Žú’´ë˜—z~ãK=øæ.¬ã á¿šrÀ<'=Ðÿ%í8ä?†ðØëÈ}ÐðϸOÝ÷>åö7¡Ó‰õŒf¾öä33øõ“þÞ|‚ôÆù0oÀ1Œ»˜ßÏ™Ÿ÷æãöÝNÖ 0¼€7+ho¯¾Ï<š^?ð1ó/Æ)P/c=»åŒ”×fÐ7õ<'Ž¬š~úþ þNý0®à¦ß£üìzÏx`: ¿ÝˆŸÎøÎðÙ„ùîô›H{/ÚõoʱܿFù•ŸÌ3HýKÖ‡ÔsË‹–#Yוða^”¬‡l>h|Äx™G4¯¦?ã½Çx“oŒâ!‰ßÆ{]߉¿¦C¿¾A¿©e=gýÄ3’ád¼¿d^æg=TÊ™ô»ñ¼,ßñœçýo–’ñ–þ_™÷Áðó:b^ôÅÿ©_i禽—þ/n×ô¶ˆu£Ÿ³ûaÝ¡Œ¯õzÝòеéÁ~ Y·ëh} ýVYgˆü…ö]ó9Ƨ³>ãg™÷"ω  òuú-±.ä¼´YŽò~0ŠãÀ>Cy™yÖü>õyß|FÏ×0Ƴ3ÎŒu¦©Ÿ£ÿ>ùŠáÈ<Ñô·`Ü>ý«©×:€çÌ;èç£ýÊpp? kã«ßgþÂ<7nÔÏ3¯UÚ9¼O`ηÚI9Uí ÞËHßÄøq÷Ÿù)ô›yÌC–zžø—zÝ̬÷L£:B?èüÕôÀ¼Îl/ó¬ê9öƒëß™¾¨g2]r?Ó5ý"3£¾c<ãX÷ùYS^1¾½Þ^'Æ¿äùCWÚ i7 ü`:eݲôk_bÉÔ'ê·áhz·œdxÒOÜÏ™W<ã©@W³ò¬âÑtõ£xQðUã%õä³òò±>mÂãg]†Ì÷kzÔ}ʃô‡1Õ{6½âšðÐÕýú\Fþ}ãõzx6°þQæIÁú0Ï,õzÌ›ÏýÓtÆ:6Ë€{ÒÆ•ú>÷o8¾é÷¯ûÞ'¨‡ñ:1Oxò]ð Ƴ¥þ 'ã3Ïô» ?®û±ž‚õœ²Ž¥úõº–7Â/ý™w%ýt5>.ÉŸ)¿±~ó©¦>Ûëºæ¹Ýï™Ï¤¾VÏŸé úd~ñYr)õ·–'Ž`<¬¯•þ- 'æcÞ‰UÀ‡~]Û?äÛþ>åK¶cþ ßé×h¸ú¹Úa½xò%ƒõyÖÐ?óþ‰Wɧ¼îßϪƒ`x2.†ö+úã0neV¾òÉHþ5Ÿ2œ3Ÿ3ùÆÅs"ÎI:þÓ.©+õü†×|ïñ¿hL?=g>hãÝH†ûÌ–vO´Gs×x;+í~éOˆû³òŸRßoxÐNƒºh£ñŒêÅ«m?ý©i'6õ5ÏQj/ãËô{VÝeúyQOL:6^Ðn•vN}7:éÊsß(.DÏÍ™ÿ†|•ùÒyM¿?ÃS÷WÑ/÷ãõO^gž™?¸€N3Ÿ®é¿Iºð:/t5ž[^Í<ɺÒ8åó }gü§œëñQ–y±žŒŸ8‚ßô#¢Þ–qíÌ¿åq˜Ð.Åxê_ÁYW†uÍ(‡ÂzmÂx§Ë:™î—zGãíøûоׅx7‡ï˜×˜çCžüã̘ÂüŽzôû$]û=àÝ¢é|žqb¬£Ì8 Æ£ÑßþåŒ`Ü*ù|Êkøçd½ÏºÉ¬×2 ŸW{ýÑ€þnéc¼Åz³ž.õƒ¦'ž_¨_¢~ü‚y <.Ë÷î‡þy棾R/’û~3žéÉãN½ îÀ}æO \/Èñйäqn\¯îªû”ãŽã»5Œ‹çÓܧô›õ,“ßéwêëõ›çÃÔë?ðÏŒ;d=žß<æKZÑ>ó½¹=ŸÏ¸^†Û¬¼¼”/™§’õ‰³Þ7ð•ösêÓv ?ê¥yÎ`¸éÁú¨<·Í æ©ò¼‰ïÏÖWpK??ÖbþúÓz}Ž^YŸEßíÚØß(?÷ úïäëÃxVî £ýÛð5ßB{¬/³paž{Ú£˜õÔèÅ<#n‡òÃÈox|ŒðS{YÃü í¦ßÏŒu }ŽrŠÛaÛ ÆMy+ý×tßvYχq&ô/ƒ[ÚÙ|Ι`¾”ë˜w’zwÆY¥\„v2à^ ã=æE>@½ï!|o~@»+ëFQŽ7?# ù Âó2ý¹ß%ЛÇÉ:†ÌëÇs§áB»Ñ6¾o|õxÄ·¾¢çÏgøoèW3ÊcgxΙׇr"ë`ÓoÆu>ŒŸæŸ†+ýè·~ãcý3ËÃÌ¿íq¤ÿ”ùŸùø3ëPîq˜¿ìPÆ;]Ó®¢÷D7=®LýùÜË|¬ÿÈx¶äã?ã{fÅ7dœð‘y™GÀð4ýÐþ ýx÷Âø½~¬»šöYðÓõ‚Ô×sýwc>¬{d|ŸgÉ:"¹Ÿª¿ßH.ÓwÌï’zVàåÏ̳Žï2¯ØÆuN»BÊýº.êj:`~ùäøâœøëõgžÖ™Øëö6γÛÏÁgXgtVCÖ‡Ïz±À»Q^;õK=6ýͼ”ÿXŸ—y‰3Në½b~izÞ%>‚¿Ñ^H;uúeƒ>¼žE¿é÷—ç%ýNkà…Çáß´POFúãù‡yÖß͸(Ö™Ë8Ĩ|“ûÏïÌ—Ã<âÆ[Ö«£]Ôï-a]rÞî_ÏyþûÕÝñ~“ç6ðÖ}2|‰'„/ñû ó8Ү̼Ì+GýÛà—yË@G”#¼?.b܆»á¼¿™G–ñxÖ7¤ß1àÌz¼Ì'4ªÛfúÆú1_¢ñë(~êñàûYyçé§N¹†ztæGÌú-h7õ¯z/órcr¾nëA»íæ ³ê1¾7å½?«´ùóçyQ¿é8ª_øŽø&ðÊçêÉ¿È?˜_„zÇÜ_@·Ì‡;+¿ýÐ ÷Ì¡kÊÉ 'ž‡Y¯ÍßÛM¿ æ‘áyÐçæ?¦_§áM<2ÿ5<Ó>ëy¯è¼‚q1n…ù îï駑ãÀ>å<´rŽ¡ÝÌ_mú¾QG~Eÿ¾´Ã?™ÇñÿôÓ ½–~–æÃÄîç^G¯ûÈü˜þ“ÌsKùŠôÍüIäKÜï™g€õ\Ó.«ßÌscøy¼†SÆAšÿzºŸþz^0^Ú« Oâ?ý ¸N¬ËÉüëÌ¿D¾@øR~ÕÇC;žó‰gþ*ý¦¿:íØŒ£M{<Æ¿ã´ÞÌüÅßSnòó¬Û¼<„߬çk¼£_•ûc^ã¹ñˆz^ÒýW2¾íw°Ïmwc^¼´Ïk\ö6þ0o<ó1eÞO=§ÜÂ8Â5ùŠÇx¥_œéýÌò·8Žï˜‡Âëm|uU빶b=ߌ§Ö÷–C±ã«éØüÚß™NÔ>ýÁi7åÒNžzTÝÏxÐ×~Œßód´×ÙxE\î#nyò’ž1úñ1nçRÆ-òe8ùšû­¾§ý’q)~îñf} Óž3^gÆüæÌC@½Ü.ÌŸþÕŒ;ÛÄï6®CÖ÷ùœûÓ8X¿ØvÓ=ù+ÏùÌã˜q8à;™ŸÖýjŒ«f]Ö·ÛŠñ“þIÖwe~Ó#¾ç9#ýlgÖI#¿Éó°ñðJ,Ð ù)ì£ú¼iÿ0éÊóíÃÛ1Îœ7Ú¡^–vHîkÔƒ¿©F}ÛW ze¾:Ó;ëW¬Í'ωƋ´ó˜ë½ÌÇ üeÌ—ç ֡ʼL¦;ð·µÿ?ÇÇ|qn'ñÜ|øí÷RþÜÒNe|^Ð>iûá(ÆͼB¬[6ª›†«çÅ|©3½ }æß2]0ßè^´“qâ€ßH¿†u þßô{ãÊ|øÆ3ã«Úñø,¿çzë·×íà¼I–?è/íïVÔž×Çðdþ{o:0Ÿ5_`^Æq04Ï'Æ{ì¬$¸¤ýšq¡‚Gúy\›1>æ¿ÎxãèžuÂr%Þ麌ñ%¾€ž2ÏÚ7>Ò/ò‡á7g>¡ûÆ æoN|œS¯«ß©Gßbž÷cúw{Û°ÎôÿLz3Ÿp?^ýf^x¯3óÝÒ¾G»÷1Œ#ãiüžñÓx¦öÒÁøƒu5?²¼¹¨þ¬¯ ?væ»Üy¥ß0õ<Ö7оñEà¿Ì³çõ§žmór?éoâ~@‡´cþ¶C1¿>ë˜^ÏÎü>Ò'$_éç°žlŸö_Ó§÷ê‡3ÿ•¾Ù?uŸ~[ô³×úe¼õïä;†óúš_Íc^äÌ?Íüü'ôžõ@^ÚY/*íI¦_̃ôþÀ;êûéìùò¯x|ÀKÖ¡aTÚC¨×aÝ—ôÇߥÿëAÐÿú˜ô¯}e½bÓ«ézÆóÜçÍ×@çæ{Ô2oÆè|h|À:¥¤ç«~ÅS/È8ÃÅôµbz}xü©—D¿îüœqFnÏøgþÆúƒÌ# ýgêyŒOŒ c”Q|¦ž“® wîsÌãÉx©eó#ýfÞqÚKÍ?Sßa¼ÔsÖÙð~Ǻ\ô³ðx¶bÜ™?ðœåâyп‚y•˜·†ù.¨o£]Åߧ½üfî3>Òç ÃÓòã æ‘òæK·ÄcÐyÚÏ7âáH_æqR®b\bæûÞ2ïã8hק_"óëp™G ýQ¾ó8OÏ€OÌ[̼¬ëÂçôcd~ãôOÖÕ|Çò&ó­¦_Ž®¦Öés³üTY¿•çëgèÇL< ¿Í¬|Û™ÿÃãÆz³N:ñ”ño‰'Æ3ÏC¿…‡=?ùŸÞ£?ðÈžm¼1ý«Ãy–Ÿ¹çÇúôs¦>kT?øAûxÚtŸu2?„ÛßÊyÏ’îXç“yjFyÂôœó£ýqéOvó1ܘw$õUóKÓOÞð5ÿœU÷yà?ÉõÛëÀ:éÆCúïξnŒ«c¾sÚm&xßó<:d\7ë{ϸ2ÎÖzÌ» <ô•ô›u ô;íJíšù]2^FÏ=ÞŒ+2žšo˜ŸzôÜã¦^Åãa^¤Ôž™Ÿðcœ—ñÎùX–0^ÊíYo[WÚm¹.ö{[1¾/Œw©?¿¤³å‡Yù€AÏ£zÉè'÷Aµçó“Çe¸0︟³cúÙ¾à÷¦#¯ë¨^„ß]P¯Áü*ÔwÑŸŽv;Ë™ô#g^®´³‚>i§æ~sóa~uØ'S/AzbÆáQOkø’ïRÈ<\7æ¯5½š®wïv2Þpb\½ç“þÆ3ã‘Ú£?á¨4à¿`)îóæs‡ÀçY§–ç–Œcz<Þ7™Ï–ûDÊǦÀÉtáñ1oý¦èwî}Šñ´Œ?Èüoà‡”+³è›çË/søžõ&,ÿsŸe~ÖôÿÐo˽×îq€e>¢üz`êsó|¼g]2ƇÓßö(æY`„̳ ºò~õÿÊ'“uÐÌ?Æa1¿:õ<̯i¼œ•OšvNÆ÷CO<Òkå>¦kúá`üŒCðú3^.¯þ^WÃiã÷¾,¾‘ú>O;¹õþ'ð}ÖÕoæëô¼2ßðžrõU>_&0Еq²Œó5<¿>Ê+ƒqðÖEÎýJ¿M_Ëà—w>ÎzjÔcP^⾑~¿˜ßÈ/^Wó!žK‰ß¹¯>þNWøñ\÷Yð#Ö»`¾¬ìOíò-é½E}Ç8‘Ü€wæ'£ø!½Ç¼üÌßK}Næq3üAŒ»g<™ñ×ó`½Öfü3ói,™Ÿ‚?².^ÆGz\õÞÔSJ¹Œñ8̯C?|æ›õø­×I»êFzíò§ñûërz†õe)ßO@Çô¦}ßxEXÚ¯˜·Ñ|0÷Q¬ åû€ý)<ãÆaݯßcó-úOYÏÈú^ô‡´|ù³Ô¾íí¶Ñnȼ9´wš~<îôsñþõZ¼y^d^Aë•M—Çø>ø똲{ú+úýpÈùd=GÃð˜•7ëƒ/e&è=óÉ¢=Ãë8ಆöÎ#ý•Þ›åOÍxÊQ}:ðÛYu±RŸˆ}Éx›ùóÜøèaŒg”§p7~f¼±îçþ¬û†£å5ê1‡Ç¸±Œ[וçú”¿@¬OH9‰u7’ÿé¹ÇMìÌS­ß™7FW꧘ïÅz)_ýœyè OÊ-Œ· œE88=íeâ7Ž{b}yÖ÷Ü‹ï Wæù£ÿmÊ Øo(gÑÎìç¬Ošãô<ÓžmúÓýÌÿ‚ug¾TÖ%ñ~Fyƒq?Ìgç.´Ÿë†ùÒ_›~i¢·\·5|—öð·ÄS¯›®Y× ôÃ<ÌGùˆíQ¾f]ú‹ŽÎ¦Ãëžð?¢“ræOæQ^Mà9÷¯ Çe¸c½™?Œpdø´è7ûM*¬ûž/éšç`=Oý°û×sæ;]ÁøŠpä¹›~8Œó þyä7«ëÿ«~á²×ôÎswîçÀ·ÀÙøU°î©ÿÄýY~ÈŒ/3?ü]®+æíuð>Ê<«„Ú1:‚ïÓî«ß<×3žeä/¾æ÷X'Ìó6}21ã¹ÒÈüFãKû—îż˜ß‡ú.ÆU²6óœ»]ã˨N¼ÞO9Eï§àã÷Y§(ë°êùÀÁxËó!íS¤÷Ѿ…uÉŸÆ'À‘y©OK;:Æøjò Ãñ5«XgŸ»(/ž‡qŸz“ñ)ÔCåùŸðözƒR ý8û~üÞÎYã<™o;ål´3 /˜Go ýQÞ`|QÆ êyîOà‹ôL?8¯ƒùð‚ö†ÌC©ëÈ_ xB{µÇC=7ó?@›òë¨e½hÏðf¾bæ¹%|ÒïôÅ}Ûð`œ€ïÓo4ýq°~Ì»Çú£ä†ïÆ5Ò gÙ‰¨·ÉZÿùÖL_˜§á“úbý¦þ’z2Ú#™gŸöºÍ¸ïqež¬—æ‘þ)ŸéýY~;Yÿû‹¯+èÇëÇ:4<—q¿Õs1ÞƒŸ°^ó£’NY¯7ù¦ù îÏÊ›Âó8õ\Ož¯Ž¯hÿ&?g-ýθ=ãAête~úç2_ ùræ{þS_M¼a|˜¯¤ÆË‘hg~"·Ëóõ–¶ã¦_´žÓÏ~7yÅ8hÿ žù\ Wî‹”“x>¦ýŒù¿Ò¯|ÚxIý7ã¯i‡ñ{†áJþIùˆr-ë±¥ÞF÷3ðÉóðsD§¦cß_˜åF¿ ËÛ´Ó^Mý¸ç1ò¯ÔwyN0ÜMÆÐ#ýÛÝžáÏ8>ÖYdÜ'óff^JÀßpÑÖ?ýݼ¯¬ûéq¥…ö×I:2>[âkÚŀ߬{áñÍ™OÌà#´k{|¬/@lÖá[3Þ®¾žÌÿg;#ÏQù—ï{?eýRæs[Ôo®?ýĘ÷‘~‘´Óêåé9óÉÒ¿‹u¡©?õµè=÷»ú͸ ½OùÐëAý’Ûe>ÚqÌo Ϭ_øî´wñÊüY¬Ëz÷)×.Äoæ#KÿGë„ñëáç¾;ao¿ËøWµC¾qã\À|Fy‚À/Ég<¯QÞXýN¸è=Ê ´[>©ÿÒ}ï÷i·òøõ^ÚagÌ?ã@½þæ'zμÛôÌó1øOêõ>å†C€í Œ§b=PÊÕÌßtóeÞY~‚îÇxH¹†ñ ´ƒï¨ïd})Ú7˜÷’þØô'ṃu‹Gô®kæm&>¿x®àºÞ¸?{3=xžYÔp2˜/è9ãýïäû€Ë ÖÓû¬ç9§kúÃé;úÇÝÑ}žËFu°<ýÞŒñQn²_ñ.Ì{䦫ùõr#¿;à×Ó|ÀøuÆ=¿ô–ùJLÏzÎó3í¥<ÏÒŸÎë—q¾š_z½u]þÏX¯”úÆÉNéGÓÞK?EÖs¥ß4õ`Œ³M¹üÌï{Üä?lŸñf´ú>Ï“†ýd¸š¾í@¿Ê]£z6øŽõU–°îÉô=ó=g9øáÈ~‡õ`v/í«  ž7˜/ˆö¡Œs7|°^¦'žiWa¾•5ô3« ßKzW?{9_Ó=øù~Ö›ÂúÒþŠsmêÝhïÓø»^ð¥-Ïé?„qßgÕƒùAÎXŸQܹÆ!¹oTšqi§òz‚Ž©'̼{¦+ÎøàçÌ{Ï}šq¢^oÖ;bP¯û2žSO;k_0ÒF=óX»?æ!¢~–r]æið{ kÆm“®Ó^­+ýn¹ú·ÇËú§†xGzÊ+–C}N"ÿ¤ß1ý½”'è'À¸mÖó¥5·gþ–ùt0NÃö&Öû8ˆqÓnÈúeÔ+­â7ã/<xÖÓ2«õÌsÎqr\¬oíù1ÿˆÇ³ˆö¨o_Ãúøj}iÖÀ¼ÓΆñÐ>q¿™'Ÿú"ÿfžBúí™^NxÀgÅźÌs¡û/çñà¹çG?Eï#£ºãÆð7ú™±n˜ÇÏ:×O0_ýïý{ ûÆ,:á¹ÜxÂüEôWI;’Ç :ö~ÂøyÃÃòã1 ?óÏYç[êá{Óƒá@»È~̇u˜'Ï)XOÏÏtD}fÆW™®À—©GÙ þÀýeV¾í̃zIÖÍñ:ëÚõ zßðdü ë’œ0ŒxÏëãu±|H<äy€u?é'ËõÈú¾¤KÏG¿WѯùýÌrþ^Oý&=P#~ùÊx2ƒzúYq*¬N¸Yn4¹ýôw½RnÏ<×xŸqXŸáëþŽn|?ój1(ã )G3/ ó˲Ú‘á¿Õó©`¼´oÒìùÐOÌí{¿`|ÏóôoÞ‰q3ßEæµ_ó¸Y‡Éü›pô|égL½<õÙ´gRC{bÚµÍu]4|õ^ê?1oæé0¾æùÞãp¿º¦\èýtæùZßáþ3OˆñËø ~ÁzQÔKg\.ð‚çPÚ7ÌGu]teœþÈøÂúæ\_ê ){¿ò¸éGNy-ñp¡|Æ:R/èþußtD?ƽŽêM^ÆCà ýEö`^´Ÿð¼Èz+Œÿb<6ë|Ò_Òíyÿ[5ŸÒ}óï´c˜c<¬ß˼Xéϯß;1/ú?Ò?)ó‹éêø—xToU׌ݦ¿œ®+Xæ‹`^-æd]sÊ×Y'\¿é‡hú]4þ‚hgóøÌßç>Ÿ1þ»?ÁÜ>óå{?f}ª½ÆCã•é¿)¿Xo•öðßyo¿‚}‹öSæÕ§žyVýŽ´Gz}ž‡ñ‹q“¤SÃ;Ͻæzßz2ê<îôwœwH¿NÆa1¯Eæ}ÕïÑ9ÊpÂ:Sþ3~1žŽçúô0¼Ì€ÏŒW¢]3ó Ïôá~‰†—ÞãørßÖ{#ÿ#¬;årúmfþ8ÌKô“öæż‘´ÿ3ä^ÌË¿á—›t2Êkª÷’ïá>ë¡¥οõþ ÓèløD:6?ã9›õT˜Gj”¯HWã9õhî~4†[îOà¿Œ›6Ú;óöOŽá~æ{ÞP¿czgžòöõÔ«ø~êÑ·;ëœÆú)ÌÇÈý‰õ/(§3÷íô“_Hÿi¯àìõg|ð¢ù€Ç«ö¨—¢€qBnüÄðD>Õ‘?,ëI’/›¿¯.´;äo¬Kæ'Çþ°6¾ôg ÿsÚÍð›ò4åoæ§'¿§Ÿ,óŠ2Ο~Tž·Ïí”·¨‡2ô×åóã8¼.€+å Ö‡c]QÚxŽg¾æ;†÷× _ð©Ìã¸ÓïÅç€Ì'ƒqšOšü]Ú©LÏ^GÝ7Ÿ#\³?ð%Ó%ëU¥ñ ëK½¶ß3½z>¹þèŸu&hw¦ýƒzö;ÊKFzÑ÷™÷Òx«ïòœ~XŽyïL_¬Kmÿ›Ïè=ú»{žÔ×S>b^öôw&üXO”þR#>cxoXïÛxC= ë/3þÄ×m§¯ÌÛ7Ògšñ^ê­õùý¨¡Ç3+Ÿ*뾸Ô‚ðyƹnÄÏ<³~ó¸P~÷û+ÀsúS?Ê|“Ô£Ò¯‡õhxŽÏ:¨ÆÃø—qö†éü)ã¦<·çyé»Q<)Ö~Ô/ÒË<½©ïœ)'˜?Ð~æç¬h|¡Ý=í² æ å¾Â|eÖï|Fíøû‚õãþÂ|=íÔËqÿÞ‹ñQ^åëÖ5Ï%  ê ™ÏËô²ßQþI¼Å¼èÿm>9«NGúë1/æ§ZÆø0æÛÕãÿ¡H¹‹v`Öf}LÃÑóZ_§Ÿ—ÇÁ<ÌwB;¼ùÖ2ðÚí±þ“ÇKýDæ œ!x]˜?-íSúÎ÷)¯d¾"À1éX¿yþI;šÚ?†û¿¡ûÔç²n‰×…ñ‡Ì7øÖ­3ߤ߉ÇyýóüëuËzííš|&óTéšztýθhŒ7ëÀox.áþ·ß3?ý¼˜ïù©2ïð~ô¯dþ”EÐ3åPÖ»³œ°ó¥ÌA¬Gî·Þ¯@7™Ï ôgº>€~|.4?b{>o0n#ã·ŒÀsê‹Óþe>b¾ùÓnªög:òcœŒ÷„Kæí6ýN‡{ ã ^–ñöÔ+Â÷„õ»ô¶¼K9—çè<ÇéÊ8ÛI¿¤ö×LŸúmxy]Ó~¡÷ÒÑxîyê·é‡çë¬>B¿tÆñf~]YgˆþGgÖùbž4Öé4}0^i ý"Î*ñÙë?²®3ŸŸb}Xã‹á›pŸb½/ÚñLGô—fÝmÊÔç~¼£Óí››¿xÝÄzºž7õU)¯`}¸_R2~%Ó{^gÖÛ¥~ÆûóvÒ®tãL{¨á§ö™7‹ù¬LWô÷`½zÆI›>3/‡ñÁý‚ßz}µ~éÎ|eî~2¬ÄøeúýϪ·C=uîk†3ð•þâÔ+ÓÏfäÏDº7\¼îþMþ¡ß䯬kM?$χ~ËÔ;ß2/§Ç øÒßîÆÇu;‚ù[ïMþÃ}vš´ƒè}Öù¤½–ü?õ1nGß'ÿýº}æ%þ¥_ð-óƒmÄó‘‡ñäÞ?‹~5¾ô×0/X/§àýÍÇuÝôžè5ý{-wŒàg~‡uÝ‹÷3Ÿˆ~SïÊ}ÄíeÞ|˜uˆiÇOý‹ñÈïµç9?ê©é§îu¡]zM¿i¢óRÏåy1ÿ#ýÓ ïó™W@ã¥^„r[ò-Œƒz$ŸùÇh7^mB?Œ&Ÿò~šò+Þ3þ0?žÇgûå:æ¡¥œ×ËóͼŽXÜÏp3~L§úí~LW¬GÎ<Ä:¦ÜËú IGÀÃUŒËðô8L_¬¯É:ÏYoÏð7~¹쇣¼ÖXóµm§^™~H‡áêõÏ:QÆgËpðø¨¿¥~ùÍ™•yo]¯ä  §½€OÖõ|^zÎsóªÑÒyr,/ÑßÄ¿MÜ?°/Œì;éwå÷ÝŽéSã7=˜Ž3ÆEyˆùÿôÀzKóËÁŒk4~ÞS¬ õOãdÞO·—zgÓ³ñøÆü!‹ê?íê௳꣨ÝôÛaœ7÷UúWP^"ÞgÞ:óÝÏýÍãT?éGk~¼‘fÚƒFþVj?ý‚±O$ܽΠÛÌ—jxé=Ã9÷Ó%ú7<Ìéÿäñ±ž*ý÷ˆÏŒ¯¢¿çq¼?ZOàóÄQ¿äy§Àðĸ)ÓŽyÎ)ï2Ï'󧜡÷<ŸôŸ™g¿o|À5õà€;í¼Ìƒax3Ôø³ã ÜϺìÌCzµïu>†~X¿"ë/ñÜã²^Úò&éhTßX÷¯†;ýŒ/†ý]i/˜¿ñQûaòiêC˜×"ëYbÜû1ž{i7ùIêwÚ M7úÍs7ýÞé?ÆúAÌ;èþÌgŒô+u/m„wþf{ÜX”çUÖ—òo¯/çOJú™›î¦ŸYùð¨Ÿ<€qŽÎùhoǸÐO–~­´o™ïP~fiæŸ>ŽßŒcMùxK„»ÞËüõj‡ò?ëšÙÞýeôO¯ŸéÊü‚uÎÞ˜Gú}¾ú=«îøÈŸLãÉxTÝ?ŠqRóxÌÌ/ 7¯ãÀÓß1M®'ðÓøK>@ÿ'Ö—§}‰y¤|>éÑãýE¼ô'Ný»®ô gÔ¬‡>”|[Ï·̇šñ4Àú5‘ÏM€O´§>_ò<º{´ÛÓþE¾Àübä«^GÃÓëmø3ïÐI˜'ë“îô;eÜaò+ó]éïFUôOÄŒ_¿@}Ú<‡z¿bü-óº?2¿vž§ñ=ýu²^ àÀzÞ~žù€Ì?€‡</ïÌ{I¿ªÌ[ «é€qÜgL'Ææ¥4_á~‘x¡ï²ˆžÓ.E;%å^Ò«ßÉ¡úÍýÑøDùœùè¿ïõ`]'ÏÛû+õä<—/bžÄ_Ö=ã¹Öó§\•þ,ž·Ç¼dœñ,y˜xB½ÃAô?Êǭߌ[ö8Ío¸/’ÿfðò‚ýxx®5¼üÛôO?FúµPïk¾•þUzn>¾‚çþžùIi¿`¼Ì¯i¼?™U¿ÂðJý™ûÑwÜ73_ç©ßôc!°>ÜÈN¦çEíËà3Ïïiz2^˜Ïx|À—5|GýdÒƒž3Oùõ!|—údÓ ðŠu1ϼ~úŽyAfùyX/=«Þë¯ìÜ™—Ép°þùuGߟÌΆá†õ¤Þˆy\õ¾ñÚrë“ä¹ßë¨ïFõmA?¤#ꃘO í3è‘vHÏ3é×ë€uôú0?ë„0Îç8ÆÏ<5ŽÃ±ÞŸ~dž_ê©DW¶÷3¯Pú{osÿÕó¬s‚+ý}Ý.íÉ×î‹«àOžó~¤ôļ6#>½Çû©O§ØüßùJÿ;“çø%Óë x¤?&àg¼ÜŒù1€øo8±ž«S¯M}!ù8ëø°þ)ýgWŒcåùÒßÑ~ïqP>Ë<”Xwòç5}Gyñ’´#§¾ãf¼ëhg~q·‡uM¹N÷ïîû†KÆáÔOz_K;Öö êáFyfÝŸî{_2þŸ3Ÿ"ðŸõ4XÈü.óBšÝó_íÃïÜ×Ô^Öé2ÓoÏ~¬{`9‘zTž«¨ï£<ＶÛp_K=²¾cÞ|¯#íý¬c4ª[ |`~Úlÿœ…_3ë¾é¾ùhæ'Ðïeà-ý—¨o7Ó_ÆßSÏúá™W@÷¯éïŒùPoM?{ÖEãù4ã¹7âUêíY¯CóÙñ¬YÆ|ÒwƸ‡Àü×´'’®Ü.õÒ†[1¼õ^ú-z€w¦7ž#ý/ÆÁünÄæ—cý0¿oxfý$ó;¬+ãOŒ/ÆçÍ€ëvpÿËõÂoÖ%£Ï/{Ï´ï ?ãÏYÉãÀxfÅ{ü™w'óÕcÔk%?õz›Þ<¿|r$WÑšõf0^ê%éç̸áôóÕÕçxã/óísÿdžšCx>«~ ã3èççvéïÊó ñ6ó‡ïôœuuFöN÷3cžÔ‹ÓoyļîÌÅøþÔ y‡pÍø)à1ãL½̬-˜/Ç?+ÿ1ã ×ðùó21¯:ë?1nÖtÍü/ÔOgT¬ãáY‹v Ô§é}÷ãóó1Ì›ç/îCôûa]ÆŒ“ÆóÔ‡{À'Òå7ãCòÌ'ù0Ö“úoüc¾ºô›S;¬³æu·ßKÆ%~f¯W/<Ÿ$¼ÌW=?Ð÷3Æ©oÃsÒñƒvmã㨙gh®£qb¾£<›ÀCÆ3Î.ñð¤\Ì8«<—ÞÔ§’²gú™~õ¾Ç‘ùÄtÅõ©½•pÕ­-ú~ |ŠõŠæ0¯5¯Þãù˜tϼðyÎô:÷‘=èƒy' oÓ åÖå]Å•uêÝëU¸˜/ýŠè?È|ñœxä÷õžéqóËx^Ðí¬—îùÑOuV^]ú/Óï0×qÞSž¤?1íôkN?pã•ù)Ç«ûÌ÷ ¾½†ö¸_Ó^Ez§]Žûã²(ï;¿ëÍ1ÿ,åöQ>{ݧÎýPÏ} ërè~Æß.Æ Óíáý½€é%óóh¼Œû¤Ý)óî€0o*çïó(ýg9Ô ëªuM¿Ô9ó ]½¿Ïª×ÌsóÉz½ÒŽnºö¾˜ùÊÜžæ“ù¤ÌŸ€7Ü/-wÿ‰†KÊUæ'h‡uzéÿðž{Þ+¾ùóN¿ißßg^PÓ³ßwû¦w |vOúÒO-ÏÝàoÄcæ¹dŒ[f]¶ox.´›³â†S/¨ïéw–ën:𸫸Oÿ=Æ30õ¾ÀS·›ùƒÔÞv´·¨ßA=qúé}Ö3¢Ÿ'ýtÉ7©§wÿ»1oÖñv’̧B¹!ë¹_ÃtÆúß<ßÐnžþ"zŸyªÉ_”þ·€#ýÄ)ïúÇú<£|üðùZiÇ™Wf~ËzÝY×p­è˜ôi{ôW€¿Ô'ÿÀïÔá>ó+Ï%\ô{à0+î”òaú훬»ÀßÌ×–ô¨ß¬K™ò¿îÿN3®ÕtÍþ0æ5½3ßâê ø/èßF?xÔ#Ès°åNË Ü¯c~¬·Æñ1϶áVôÛë`xgÝ\à3ýýÒ>lºÕsÖÍ5½3ÿñ.|·ºöý%ÁÇvùQžA\)wÒoy#½ôå´Ÿ1/ŸñÁóðw¬Ïa9ÊøO;ý„mç܆~ ?êáyŽ£ŸíÒ>?d~wðCæï÷¸Í÷(¦ÞëíßYðe ëbS¿˜ç'ã'ðé8Þ'¿"ŸM Ðcâ)épÌ<àh—ç@Ú‹ —e·¯+ãâw›zjÝg~$÷o:æþǼYÔŠ¾Œ÷ɇòœb8yÝô=ý£—Eºd<(äÿ¬OC}4ýáçF=´Ç9Òƒ¿Ðï–qØäW¬ËíõdÞ´”›Á©Ïg˜Û[Ãû¬_Í|´{Žü 0/χq£<'Ç8<®œ7ชùy<´;2Oܬ:Ù³ìȦ«eÌÓ¿í¿H½%ã±3Ÿ+ðëCý;ãÝ|ŸyR)×d½Ðý\éÏHùÝûSÖMÑÕxÀøZêýç4ž˜‡¿3ÉüIú­uLù”õý{ýÐ?•þºYoÐë ñ2‹ñ‹õÔLÔÿÒö9ú/è˼G¬ï¼/dã/®†³ÏçÔÿúʼxŒ_§^9ý'·Q^ãéÇôn¼ÿÌùî~ŸvæÓ'ü$ñÅý1vV¾æßJ?8ݧ{Tÿ |%ý‰ue~u羧þÈçÖ¥`ž[ê-Ý.ãçS7~˜®u]Tûé`¾ud½¡Qý`ã¯éÌãÒ_Âí³NdÚ» Ð ë/òÚc½™ÊôË~‰ßÌWëï¶ÍxŸòÚÈ?Áïé;Ž—zÎ`æµÊ¸ÃMßež­ôÆóeöëuÖ5óëwòOðEÊA£z»nWý,̃ÄsýÁi¯¥ÿ õw~qÔßn=^S׌K^nF?¶ÇpM:'}ŸyžÙO=_])Ï™{ÿ`]TêYÜõˆ´k¤üi¾§ç{gŒ“ö4ÆÝ'½ƒÞéáõ6ÿ¸i·t;¬3k8ÌÞ¸f^`µ7²ÃcÞÔwRn]Ö}Ö·È8ðÆËzÜ\/óQ˃#ÿ,Ãý³~ŠÇÃøÒ­›Oy\äó”y®Ù‹qñ|`¼õ8èWE9œq)£<1^}· ¸SÏñu Gú'ÿ1½å¸Ý¿Þc¼è(>ü(éôEþH¹—r²åúÃҮɼsg¨ïs_?GþíQ>+ÚíÉGOK +æcýïC?÷1ÆÇ1ŸëJy¼Ô%èwòUàã’/ã}ëÙ²>øõ`Ô³RïÄ|HÜ—S_xþ¤Ÿ=_=¦_Ek/õÉsúNü3íhYÿÉíë·ùcæÙT;æë¾2ÿpÚ‰°Ž´¯²NåSÖÓN¼R;î—ùÞ˜ÿ“üŸöæÑr?GÐýŽ¹þŒc§_È(ß<î3/ õn×WæµZFÿŒ#ö¼¨ŸöûÔ»3O<ë^¹=ƽð\By™z[Æ»Òÿ`–>8í0|ôÅü§)çëû5Œxƺ'#¼%_ÜÝŸáȼ–yÞð|Ûu ¾øÒÏ€çþÌOxÑÿ‹ñ”«˜ï‚úçcXŸYù hWcžo®;ýðcÜ̇M9dT‡ øç~á;Ò÷^ŒùܸÌM?7óAúUò\–ùtÀ7SÞÔýÀ!ãô>ó°>óÛŒø–Ç¥+õº”¿h¿b>WÖ‘°þõÑ™aŸdº4¿Á}Úõ=NËAŒßó¸XŸþÉ<-g¾¬ýfÅK§ã¦ÞÞp˜3}ªúµ¥?±~g¾gýfþÓÌ“§çÔó¥=Òôl:ÑoÆ}dž/=§¿õ%n‡vþÔëù9ðƒu².”ÛmÏ{„÷GùHRß z`ÝXÆ%ßGúU¯+ðzÆC¿sÆr__~¦¼­q±Ž’áL|¦]‹çCÂñ‹Û¸îønd_ÇzNÔ§SÿÁz€ô·žåj¿*ÎßýR>2þ¤?„á ¼g~_Ömcü+÷¯Œ×ÜÈ—_½¾žç‰ø=ò§b¾xÆÝ/=Ϭ/§öèÿ’|xåy°~7åæ¥bþ$æ ¿7õ›¹næº2 ê4ŽäDæ;p{ó˜ã¨¡žÜ|„ùÈ/+à?³â*ØýcöÞž?ýe™—ƒùI¨ÏÏ|úͼæÜϨH:Qÿ)ŸƒNgGqVž&ÚÓ™‡Áë–ylÀ/h!ÌÊä}Ëë‘y>ýðÚø8ªË¨ï³.Šñª]“®Gyµuõ>®þR¯íqñãOòüj>¬öè×G?¦‘Âëãï 7ÜO¹Ûø|2½›Ÿeœ2î3¯ó€›™Ï{Ýh77ߥ·û1ßfþ0Ãu¨‡e¼Ë¨‹žoÅúò¼›xü3_¢Õ¬´h—~Á”û2ŽF÷S~ÂÕýRÏÈó´ñÍz=óïã²+ç>A=ñ‹yégš~Têöèܼþ€õ:Œ¿Ý…vè'Àz¯³òxèÀü!”눗ܯ¨×%]ñÜA?<Ægp]=î‘_†ûñz'æédœ3ãtI¯”WNÂw†Ã(n ôÁùù<¼ýŽòŸé»Œ—Ç:Ó/ÖôD½ùånãŸñÞÏÝ/릜 ú£ŸóNó\Mbʱ䫟ϸþ»­”¿}W)“GÕÿ£Õ…ú·XÿvÖ¿sêßoÔ¿EÌ ÞßWÿ.©g׿­¥Ìº”é“JÙòõ÷)¥zp½î¨[j›êõ õïÒú÷]joW{6w…Þ¹¡aèsO)G¯®×/׿çÕ¿Mõï©õgÔkH$ßQÿ¯œû¶úÿ#5Ö:ž¹£õú ú·TÊáOÔë}ê_Ìtµµ;í\ÊÊÅêç¬ú+q£æ}jÊ…šÛVý=¹þm׶©ÿ¸@×MjiÌtow›Ë0ç¸w¡®'j6“éýøö_ëß»Õǽêßùõï¼úw›¾‰¿XÕ8Nª‡KY~|ûvòw­Ÿû¾©^×h\§·ñNÖ+jãª6Ÿm1®Ÿ©icl,÷èÛ-ZûÅußíÐœ¿¾¾_a·ú.ÁûÞú¦ÎwÓ¯ê›3ëß³ëßûõýG+ü?S¯YÇóè†CÏ{ŒÞ=W¸§ Þ_©wÕ¿‹µ†?§vnÒµÂaZqæÈôû#uL‹ ¶¹~oßRÿ–3ÁðòXÃ4æe]ë³m×/¬«op9Óø·MmTÜ.5îø;²îùRë⟖†ßõoýŸµ®µ[5Ï=‚íEm KOÑúR›ñþµíÙž·×ëïëûå6Ïéëõíwr¾Öô‡Ôþ£5Ï‹ÕVë꯴qžôy¶Æ¹ ± ‡'_S¯U;ÑWŵw+ÜænmíMMñüÛë7»4·WǼóõþõ^ã–ÛgKùêUPü}[ïéK}k½~_ýûÉvË“[ÝÖÚyÈã4—;Ïà=§Üü€îmVŸõ›ÉÔa-¾A0ù÷ú÷€Òð쾚ó¦¿áÿ:ŸÉZ“ø®®ÿ5ï-–ë{“À¯SÕG…áá3* =«$LÞXÿ~º ´3y‰`¼ ØÄ?§q\_ÿ^¬vïlÏæ¶6<ØúŸj¯®ïÂs*Œ*ŸT›þƒàý5m¬“ z¿s÷Ôë—¿M´çÓ/ vÁž¤y®éc9SãÚÜðlZ¿=ôrÍûW4î[—x'øIàë%yáäõújsgé´V ~ûWµÝèã1e#|½æ~Dk|BÏß_Ûý]õµ¬v¸Þ{~Ç÷Ñö½4®¸WéæØ;ŸØ;¾Is<®÷w«öÂhþ¯Ôß®Ö×ñS5¾Sµ~uŸ)®ïÅZÅ^ðŽµøÍ’¸¸:y¥ð'ø×w•ÎSö¨íàU¿PÉæCzoÇ:xyo©ý¼»¾÷8ý_×nú‹õÿËëßsZ_ÓÀï§kΗ ^‹íÙäÙëúŒµ¹´·›ÖçÅú«mÅÞ¹ªwöÝÚšŸýÁñF5þÿÉÒö¤ÍëÖ/xÔm‚k´<%`Uñj>ä…GÔ×ë;7ýsí¯âÕ´Ê{‚Þ×4ï+Ôþ áA÷¤ö=_ÿ&‡úÚÞòLÁ:pþã¥É§ ‹ê›à¹ ï<ÎMêkMïÇÚOª¥ÿëX&w–Ž£–uÞSniÓØÿÞ ¸zOýÎÖþôëJç—w׿û©ß5‚{…ÛrÈÖ”Î×µ¿>þâ6Ž#õ»s·ïöܤõ­}-øL»Uc}¤æBs»³läY>ç®i¬ñûvÍå˜æ}æ~ZéçÌ÷è{Gœ^Ø`5}_½ÞSúÙp‹æ·µô3¨dža<÷Ñ8Í?ïY·VËmÞ“ø¾ÒàôÍzwïºo‚ŽÏзÛJž?y6ÖÐg#zg{I1÷ÊÒÏ ñ¬ÊX»C&~˜à]åß#_¬×'¶¾vþv%±¿ë™3å¹ïÖœŽ·wo&õ,ºrŠúÙ¦¿à{÷nïÌ?Køñ'uNÏ-¿G{1žI¾¶$ïžV\ú·¶Gbž!Klðˆ¶Õ=aWÅåiè ¾*xÇœƒNN.L‚æÎ-}ï |ø‰2œ &?_¯Ïq±µ±ïÂúÿ¿¬[Wů­u?]x{ý ëË5^Ë_æEÞ/®iß–÷®ƒÏ’ÖaoIž9üÛæ74ët~Fé´ß…\øîÒéôðº~½¯Ç»O[³º^WüGéôWŸ9V×ÁõHé¸xë>´ç 2{Œå@éüòþë¾ ¾²‡÷ïÿ×–Î{Î*y¦~ØߨŸhç¦Òu…~÷vÁ&úzùóÚ]óÖÏ—¦|I…Ó¿–®£Œ>ŸWR^šû†Òõ8Ï)©Îðo)O<öh¬ÁSêÞ½ù°Æµ[×g®¿ôNÃõÖ!öûý æ‹P:ï¸Rÿ×}nóËJ£«›4Ï€‹Ï"µí³¾ÐÚðé·Û÷Ó×ëÇ4ï=Æ‹?¯þVJò›ÍÿY/u¿Üö®u㼩tœy±Ö«þòú>æþ>Í£Âsç=µÿ‹„Á;*>M¶¨Ë0ñ;ærŽÚ»º½—çgËÀ1ï3×Á8ÆyãºõµþAß.þ¨~K79ð‚Ê·6‡¾eWûfú(ýo™?þâ¼ûÚzû|µeZzwIYrúG¥ËÛû´Þuþ_ü­CÈêg W®¾lÖ»1ÖJÃÓ€Kè\+?Þ¸õªÒõÁ×Bçb=MàxåדO×%^Uåò/}¢tÝoàÅÃK§“­Uœ)ÎÓv¶uÙ:ßµÒéÒ㿬¤þêÂŒŸ]ò 8ÿ)µq\k·*øìVq/t˜•–ÿ±Žõ6Á(Î ¡×;ªï®ÞמÝæ”2E<{£ÚŒ¹ü„`ò]e›ìUÛuÜÓ‡·góu.?PRŸÔ5š«òÅŽË4Îà1w–¦û©rÂä©‚Ã)êk»Öì’uxëüòp›ß¶K4Žçi.?TúYV¸¶Pe×IŒ­®ïuZ®k= c•‡§?P_û=­÷Šà²îƒÏûª­›u=­ô½Æ¸¼wÝÚí/oZæ?Ñæ?|ßûÅÏ–F_¶/ýnéç“…çKçù>/…Nî/5wëÉ®Tÿ?VûÏÐÿ•¥Ÿ÷-ã¯i>ƯŠ³ó¦ÏÊw&5Îjœ_\¿vì=Ï¥Òu¢†ƒe¢§–Ô¥<Ǻƒû–.#ÄY;Î×Þø ¦›Þ¬9Ï~ki{øEZÿÚÆôÃØ‚†viÿ öëùiëõÓù¥Ñ×i¥Ël•žZyóɟѽøû>Á_éò£ç½Ió Ùì¡í÷äÝëž])8L'xï(ùc|ÿÉ2ðÝ"ÝÔ°ñÎ÷ëZyHÐÀ¶À¯_*]wk9Âø±EòÂå‚mè¶þ©4Úˆ6ëž²z¾[Ö·÷+]Ïß5žKç÷{JçáõïžGêèïêkS›Û¦ÿ*}4nVšž¼Ys?Kk¸¯é¼‡3`̵ò›ÅC¥ë¾¬ùýliú‹ÚæΑc?^4{GIybñZß«~MkóåKjó‚¦ÓÎÎÿØúœ¼Mý\¢óõ­‚ßaÙ ß«ù|¬ôs’ujuœKÿ\šþÅò\ààÍêǶ›‚{àï£Jç7—<£M‚V/Z—kµ6¡›üT{oòáÖïbÈîW·y zÀUÍ;ú?¥ãÆ ¯¸¦äÞ{nÝï&«ßwhÿ­¶¯.“ÿa}{†ÚŒ5ܯ6·þu™ ™â{´®¯øn»t³ÒK—/m_XlóøxÌë@‡Ý°f–ñ—Ü×æ£Ý*ë,UÚšÔv.ˆ}üÍ?ù@kã­ß¯k:¹_éç©XÏÕÞ×´õ˜Æy3ô!ÿ{ÿ\«ßU0ýæzýÓaþe2×`±õÚ6÷ÉûË›ÁÛë>òðOÖoª¬{n¥õ{›ÇôÏõÎEZ‡#šß77ø{ Æz\×Ø·ãÞm˯¯Ýü³à½Kø÷†Úÿ¶v/©ô¸Veוߩ÷BV­4´ýÍmNÓó„/-}oˆv.T_1¶Ç.-ɧçã ßóK—ÙâÌúŸ7¶ÿÌ­Û ¦…×–®Û±^#öùœQÇ4­üq¹î_[+ æ>TºHàÆ/hL±ÎÏ,ÝïÔ=hbÓJ_«áݘç/wœè)îÒ½‡¨¯)]FÞ,<{ªÆ¿¥=tÙ»4Žõ:Ÿ J—i½öëÿv K‚õšÖõtµð ú‰ýè)Â… ›+ÿ¾4Þ}Xv¶7æú‚’gôM+]_ó¹¥ôó³÷Úë+Œ_¥w‚Ö÷J?ï]Yº¾a«þkÁß¼'*Ÿ˜û‚ÖÒòIôcYê+­ýiŒßû¶Çâ}-æ2RðíŠ;gÔ1oþ}emÝøÛZ¬øñØào>W}¹ô³lÈgV»õù|çêZéú‰=šc}¶Tyÿôf­«×¾~·#øßÙZû‚wÞ±nnßYú9g{I™üœ:Ö¹•‹Én= \ÙÛÆ7œSÔîùu™þwk{{œm4Ö¼¶­ùÂGä›óyXÙh—](wÄ~üO­ÝÜóõ|ú§ëŽÒu /(iï®·èZÇ<µÞÞgâÀ§g7Ÿ±¡×»Vs‹o7<î…Œ<#ð)Îú¯ï©ëÖÜvÄçhÎïœbž7–î'áós箿h:›µ×i=ï_ºÌµ ¾ƒŽNÓøÙÚœV¾;»~Ÿ¬ožªq£ëJ§ÙͲ››®c¯º}ÝœÞZºNc­ xµ¸xké2úu¥Ûc÷.ý ÷âu¸6½hûp[óçƒ&nÓ»û[»a«Úò¾’g’ÍW—”'‡5ËEµíË~£ÞÿõÒp¹~;ý¦§álð}`ŸÖ6xøíj;Ö²Êó:#/ÔsÆd¾ô3DôyŠà{™ú&ú=«¤\»¹âÊæJ_óõù½ƒfCw{|ðÚØWonmLd7ßó·¥Ó¡qeŸdª×óŒ&—””U†9]û?^OXÇØn>œÔ`<øN~£¾ýÃÒx õŽþf_éö¦˜ãõ%í ó€oèÞ¼W†.ú µcûWJ·i‡œûiÐzøýÏÒe¾S4ß+„õÞÁºîÛ}Î <û¶ÒuHGô­us§—®ûünÍ·ö?gýh𢊋Ûäß6­÷òÑËJ£cûõœ'\©ÿoså§ãívÁ@ûòô\çÜ’2}<Ûù ½_e›¹Û;nlº³4Z‹o~Qm)ÝŽöw꿶½s­<`úZÁ§Â{á 6ßYºN´òµéU¥Ûéî(Ý^¾M÷´v6èâ‚þ?¦û§”Îë.ÐwÆ‹ƒ¥Ûv­Û>¢ûßXº®5ø©÷j[auèJÛ/.,¹ c;Qò\¿´¢öï)]Ž¯ûÑäéeƒÞgç‹Ü®û`évŽÐOúÜZéî~·•n¯º±µ“ã[”ÜWñcÓ©íøμ¸^·?FðPIÛið•?,yÙ²úM®NÿŒÊó'’kS‡o>²eÝ[Ò–3À0î…_W¬í›e„­¥óPé–æâü\ÏwgýŽàø8]CŸúÍê3ÚycéþÄ— –æ+*ÝöRùäWcì¡CxZ•Ù_­6Ž¶oV¾]{pŒá/Úw›v­›S¬Eì ~“zV˜þ•ÚþÒ媘ëõ¥á²å­{·÷]\Œ+ö¬Ûuç·j >OßÞà5œg>[6è¦Òfæs~Ìõ‹õﹺÿFÍU¶Î饂}<{aEiÉ‹Ó×”~ö>·ôóÚ½rég/Ÿ¿cn•?Mc=-˜‡ÌzÎo­ã­´~ìí¥Égjm{iŒÅ:„ø;»t¿»*o÷üVJ×=Ù¶aý¿ákÅ5xÉ{ê_ÈŸ)M&Ú²®íµñqÝ»L}Ÿ]ºï[Èußšû õ¹Sc>*ͯªmÑü­t@ÐPð™ØŸ^¤û7¶5{`¹O¶EéìïésÇôÇÖÍ}·lÝ1–¹BNªt³õû5§½jK[Ëaý¼'…ŽSgÃÜ;ÖÛK/)]ßd¸Z§]yÑñÍY¥ëæëï÷ïÒ{Ï.©ÿ™|[év£º¿/þ¦úñ9*Þ‹shìY·•Ô×{t}’`uH0z°~Wž; }Uè‚'<¶¿~·åpé:$˧–®S´,¾O2€íÁ1†×©Ÿ½Ëf}´áÀ®ç 'öhŒ—”®}·î¿¤tš{ˆÖÅ羫´^O)]6‰ûG4†§ë»‹ÔVÐåýÚoû$‡oDÜßù¹öîbø_Ü«µ›ç¹Õ¾Ö¯‹5½Rý-ý¬»"ý„×ùÞ¥Óð¦Òí,>Ÿ×ïçŽ//w®”´}è¥Ó„϶ghÍb^ÏW›w–æÛ¼ÞobQkdý®qmYðßUº_Æ#Ôþûôü[5¾gÉÿdYp·¾mgÉ3×0¶§ë÷1à²ùë»S[[ƒŒëz[IÛôô,ý~f{wÐ U¸-…,û]¥Û;5¯O Fq>ˆ=çôÒm|Áƒïßà3yoI9!âu&·6¿•ÅØû¾§ô=t{[ÃC?¯u 8]Uò¬:ü½¡´½¹¾¿ã«µ»{JÛÏï} °´ÞÌövß3/PêÚbÿ~€æQe‚…à9÷[·VñÝ)òw\.¾g>ú¼uëðÕöìP¬UàÿÕ¥Û=nR¿wÕöÂÇòI¬×[ØŸž§9W¼Ùö\}çÐiþJÛ\¬KØ6CŽò¸´ÿMÃ~õªÒåžõ²†äÚð™Ö³Ê#›ŽŸ,¨ß ú9£t¹Æ2Ý¥ËVþf¥tŸŽí,ñ'û?Pºr< ?ÊËôãýÁçªÒõ«!§þÖ³Ô$ζ+Ý&þ–Ò÷ãPðåÊ3'Ïïk?5=ÉŽ7 }Ý­mü›cßøhiôr¯Òujçëû³ôlAßH×2À¢ÒÚäez?h*x×J߯ÿµt³­ãÚÒñɺ¤í%m/á³±'üîÔ{ßÜÚÙvzéz.óïzåýúÿëÛuú§G•~¶|Réz¬ ÿiðç=¥ëõâ½µÒå ãðBéq†ïCK‹Þý}gð”g–N[K—}>±ÏBüU~¿tIé²D¬÷Íú}ç:<¸=Ú¯+h1ôÂU湫Žã[*_ºç-÷9¥ËV?-ØVúûéÖÇòo×v?²®Ïǯ›ÿÍU:Æa2OúXéûâ¢Ú¶lv‰Úú¡Òqßö»ûg”®[¹oérìÉëîUšÝþúÒ϶O/]~9†>£ÒÐ$öħ֡ý`i8º³t¹â"ÉjÑöÿüåÃóöfß„úÎÙŸ.ƒ sçëù_ºn,ÇK·ýýpéºÁØ{ÃV}ŸÛ¾Ÿß[l;i÷fï¬cœ•o]wWé~ª›ÕÞóËF{±÷”úÎâ/·uMªMZ³×”Î.iïO*Ÿ=÷*Ý÷Z‹§,Vþ9½»tàAëðÀ|ïL­eÄï(Íi9øâÒÏÓ—¯ûNt¶p£æm~¿©ù¯ üªžãæîUº­I2ÙIq敾fò[õýÿ¥¹ØæT×{Y:Õa}_¢±Ÿ(Y÷ùÁ.ž]Ûð#alŸ‡—•~FˆwC^>wYɯ‚—Tž´PåúíŸ+].ü·öÍ4ô¶¡ÇŽ3Eè¡~¬t›…3–ÃŒG§–Ô‰ t{Ýã5þÍm›Ÿ\R/œúÛÛl‡ýÂö•ÿ!}¿(ý]´¿§ô}éòÖÖòÍ:S Ï,têÅvÆÇ—î«s…ž¿³ÍcÓõe°{N«3KàÌéZCé†~Ž‡Û8æž]zŒÎ¦Òã4½OnìÌ7ŸÕÚYÙ+äŒÓ´ŽqŽ®ûøjðŒ›¬æ‚?ü¦Ö¼Âb%dò'–&í|®UÛç /L¿¥´}ï,­_<›þãï‚c´ùh­é.Á8ö÷ÀõýÒY,Þ ùH/¸RO_R&ËuÏ®}Þý´úûušCðŽkZ{ó¿ÞÞ¿àÑ‚áÔgÀìi¥ÛnƒW­•.«Û×,Öê˜ú>E°ÔY{a»NbþÖ™øüv/}s²Ú9Q6Ć͇εî¯WýeEèkŸ`èsm|_ñsØÎë˜7¿§Á!ô·CŒÖ¥ûvTž´9öä;J·Ešßì-y¾[ˆßë?Ñæ·ò¥Òãï×äè”¬Ç >øïW´}¤Ù¤&¿S¯uͶ¼© xÖÏÔ9o©çõ“^YŸÕ±-ÜQú¹íÌÖöôÛJ÷Þ¤>ohcœþŸúkRϪ»ÞRºNl¯à¹©ôsô9º>ªô88ïCâCÓðçùeùEý€à°Wýûüf=±t ËS6úãÖ¶7=Jx³©tEËd÷Õ5èá!¥ûª.¼ð¾¾PºÌbÝAð…§”nÿ?CºÁxw¥t[å6Í7ôà–]eûpø§J·÷ÚgJ:Ρÿçèÿ«4¶(ÝG{±µ9Kér½t¶Óßhc a𰯊lÕõö5ùŒÚq?²}d¬dÀÚr®y€í_Ñß…-¾bà#•žç^Tº¾8ôpaó>ê5ÛTºÏ]è€^¬¶ƒ·ß]çxú¬öÞ‰©—÷ [_)=Æ¿ÒÔÒÅê?ðñë5+ßßž—|Ï+ÝNãymI¾;ÿseˆë˜|½Æ|&ð>ö¥óËÆبx'pz·Æ#;ÄK˵±—®[Kï?ò'Šx¸óSºýn©? €òáÒ|_¼¤<cœû÷Òã}ç_P2VbúmÜ“àýòç0®Ï‡ç}æ Z‹ ÓºM7ƒ7û|ëp…ðåü6ŸIðŠh÷pé>O–å¯mý§þ!æÿÇ›Cºo{þþ’òïäË{}gë•® Oÿ¢‚8ö®—”nŸ¨Ïw=}Hëñ)5|(+ Oª,7ÄýHI[}ÚMlÛÐþ±Záµx¶ÞYQ?×km?Úæ¹h_”Àã_V;W•n'Žù…­ë‡Ûûa÷b¡ëÿ›b?ÖÞÝß¼týùbév¥€ç¯Ëži~oé10:?ñ<Ò¥oû—ôÿE¥û¯íS›q^|„à㺫ô3íc4¯àáÖÅÚæô{Í}ÊÆXØ“Zß“g–Ô£œ÷ÕÒuͱÎí)Ã1’§ý›Öb½Þ%öÕ »·—Î{}69T:]ĵòƒµÚÎý®W÷ÖÙÓ4U¿›¯²Þ$hîÊ`ƒØÿÊ’¾|ƒš{Œíµ:7Ì¢±žWº_ÃrI~8¹E°xBãÂSŽL¤Óœø¼t<È{¸y¦í@>ÿFû¯ÖØ«Üóš*c=»òƒG¢.Oàsðзq-=¿õ{^Å×Í7•.3ÇlŒ¿Š[C>Œ›µÎõ5|U¬ ûÖ §€ûè±¹t¨}¥ëk‚§½U<_ªkºøáÒtbW N'ë»ÀÑÛj•g-¼Nó =ß7jÑWœcÆK?ÇÕ}áÊÊGç¢ÍÀ¹¿+]Çà5ÿ˜ú9¯ý :ìK´þ?¨ñyßÛ]ú¹Å:©˜ËáÖ×Η±®Å¼ÌcZkpLŸ×*„‹ƒ†}‚ŸÅïï)éŸ:ÐMúîžÖÏ•¡ó<§õ±#æsÿÖï‰+5¿¯ÕŸÏ'Û4¶À-ýŒýœU6Æ÷Å3ûÉ<£t]õ·—¶Ç*]'rR‹Kô×JNuº¥t™¬®ã|mo¼õ9mC|î‹4¶_WŸFÓºï.Õsé@#ûûC_ȤïhïÎoY·öÖ îÞ+ãàSO-‡losþmirÛwk]âùO 'êÞ8º‘Š3CLFôõKõÞ_ †w­“Éž/„;ë”´Nkßï?›{uÇ™W”cµ¯áËÔ8²¿áÉnÑ\ºMкTãá­ ®§˜÷ÿ»Qc_ÒúÔþ&!·žÞÖÇ1¯“úÝâ´4ý[J÷M«sÚ<ܪ,¸P×òlûÆì®l~ù“Š[*ßâSbÎÞsb •Ž§ŸP õQß•¾Æ9þ€~þÒæ>ȼ׈}¾=³á΀÷±î—•nƒ“Ž>u½¦ù ¯uÝTéüWºVÅÍíñ¼ÒÚ)uÝ?¤¤ê»JÚ•7…çÁ¥ç‰¶/l.o¿'lí ù¹ÞÐÚŸÿ#á„u¼÷hlÑN}ç̧¨­ JçÝKú ¼Íòœô"y6ÞÒà5äk8QºîôWKç?Ï+Ý×y_é>ææ¿–í×9­ œ«ô÷ÇÆ‹Aߧ•žë8ðèÖçD8ã ü»´ô3IôóR­“÷iÛLu~HýU}¹Âyn³î}W½òÒõ¥ï—®·}œvëýÇ·¹.^Pºßõ¦W•®O>M÷ë8ßZÏ{ÖÉxôçÛƒ¥Ÿ1¬ùÕ¶çî¬SÒêò*cOßRºþ$ΤÿXýì¶Ï4;Ä°Ï]RºïÒRéyÁî•Æ¦?,ýF]ÿC‹Š7‘ãm!·59aXûàS±—þe]Ç-%sq ó8Ec _–£ëðÁ æ’`ý’’þ  _Q: ÅzýsÇDc¾]׃êËpÞ]º.9~ŸÓÖpx7à$ú û¤Í7ê»ÉC {éé¥ûöìÑš™ëytîoÔæfÁñ,]ŸTºýÙôðyyûò¯<®áÍsd¡õµi®½»ømú¦Êˆ“6\˜[-yV›Æ>ýÜö1ä~:ª~,‡Ç7ÆÇe­gì?¿]ú8pôÏJ×CDoи^Rºž©î[YrO¼®î÷§ÿNö‹JÒô¶ÐñÝZú™ Æy¢tœŽsé÷·v¦|8΀!7'˜U:ßôÜÒù~èÌ,úlê}ì~%c®äϳ£ýÎx IÛyBwpÖ2ÚÚUz~§ðõX.y¶rÓîU¾ºÙûår›{âäI¥ÇR†¼¿ã 4ºÒæ’kxxïÒãrcﶽÎç»Øƒ}²t=é‚ÆùÊ6—¹ éÊÿ†Ü2›±ÿ½Cã^óˆÒ}„¯jíñÓÖÇmiÏÿEû~ÐiƸCô¬Ò÷ÀeµmyfUòK<;ÜÆ;ĈÅú¾Jk$XÜòJÏ£Ueà!öåm‡;Kã7W”~>‰u³ì²¬v*[úÍ’q˜á;}ñ¸Ú}g[›Á+äçolôºø/¥Ë¿>‹m/ïé| xpœ™Î¬/QÿK-ÎmRivS¼Séò>,]ßø?Û¸·Ö1ÏÅžVñvúÁ6®¥7”<Ï}Ã)mƒ¾oAó8PÒ×'t¡ÓÇ ×÷×ÚýÅgê½Ôi­̃ÇÏðSççùç‹WV>ºý5:÷œÛæô‘àÅ/“> ÎW¶¾‡ü¶•WhLµ­Ö¹lê¾±}ÞGö¨Ð!=¡t9iséú„ºWo] ãþgûTüÅz½¤ô³Iè%+Ï=õ+uÎû4—ŠƒþËðyj[ƒØË¿Ì_UÁ éçè›'—NWµóEâ¬÷Ú°¥þ}I]Ǥî_CРɟ®ÝýGEŸ‹Ú¼çâzðjSégˆðq²Žä´Òåò½²åíÒ¼Cnú=É&§kÝmO¿~Ýš-ý^¬YàJèB*bµ¾AßĺmÄ9+ö³ËÊƸŠ¨½•’ûYÐðÑ*sžWÏ_ÓG–¹MB§µ§ô¼õûÉe#/óÈ”.ï\Z2æc)xÒ¾§iíç^Tzš à êýÊ×Îyšàó}¥Ën²Í w•¾l_´î½czV×+òÕŸœ¯0Ùö°Òyã¢à±Yß¿¾lˆr1½°ô¸Ðɱ>»¤.bˆ òy@þ+=ÖsÐÊ•Œåæÿ ÒíZñžõt:gÎÿYéúçÂ]ðï —Gµq®~ª}sþkëå[„?–…N/ÝÆ|­âøõ¼·í‹¥Û…êß–ÓÛ¼¶\ÑÞɸ‹óÛ\wÿ¹ú¾Lc;\zÌbØÅ+^oö&äß?- ߃ïœhðßô{¥Ëîo)=Fn±tXŒãm}½¦c“?^ºž÷ýOÖ[¶%¹Ý˜wì¿_lk1عNÕý/ÝòäÒå5Û¥ëÿ ç­k«ö7Wñ}ðÑ·(¾ýÆg™ö@[çൃü²E•õ&~ûb»òǹÝÂáþ Ç|r{¾²ƒíçZ7§…vÁçhï1òg:Is0|®Ï)moÞ#<‰³PðÑKJ×!Û·è!j¿®ùK¥ãŽÿ·O ø¾]Q:mÙöÏ¥ûìèûhs»uxªï^°î1Û3ÿ¸t¿bÏébµó ó±øK¥ÛéḇOÞ¬9ø,óÜü…ÒeœÚîÞàŸ!ÇŸÙ¾Ÿ«¾9¿‰ó–yè©­ÏÁŸð_õüš’þÛ/,Žé}Ý|ôš’þ¹q&Ýd;TÈ,‡¥C ºŠ=öîÒí‰ûJ·©Ú§ ä»Çvüb×ïÒX껋qv~sI9+ylÅÁ¹“›ÞgˆÙyYé²ÖÅ ~C~œÀ‹×^ÍYv¹Xï;ôÛçÉyC>âЇìç¿—Î߃–bï¯{ù›¬Îý±µ¿>W&'¾ÚæsxG»¦OzÀáê’6ð·|[IÒM±w‡\¸zTp°Œóú=Á|EóÞßä”ø~>d›ï/qJàÙcãX—€ñõ¥ÛØ.+©‡ž[ïÓtBkäuÒÙèFËkë`ë¿E«Òó–z&rÌŸ¬÷¬lØO‡3hÛöxç–n ³ ,øØéêëæÒý­G> ùÔ½yÛÿ*}oy±ž}GíòÃ%}WçƱ¿¿E°?_sôÙ,Æñw¥ÇœYß\ªv*-,„Ìù Á´žÑüòžw¬­Ý$仿T?u¿šü=¸àð”“Íu}–~Zï]Ñøfò䃥ÇnÅ8ï,ÝöqHøaþãóë3õÝ©ëàh:±=?`4jûÞêùmêëµtw¦Öñ]cíwh]â/ä¶À¯ÃêóÔ6ÿbÝÔi‚ÉwŸÚ‰±ì-=W õñî?µçƒÿ e¼½:?>Uk²§t½ªö«A¶©|m²ùwi./)=ñkJ—_-ƒ î½ný¬{‹¾Yzžä—ë›óKç}uL§Ä9ûJ­CÌý\å¬Ü¡qÝ^ºB6‡}qïUíÿaMÃô÷m.›ZǺ†O–vnu œ¹¯¾©ýÎ=Ec=[ð _»Cc7o ÙäßÄ^¼ð“‚ñ3»WjNgi±î—©­¸òÀq­Ñ—õ;¾»ú <±þªÖ7ö‡– >öaÓŸÈ9èfƒ‡ý³àu§Úüy«àuZ¯c4˜†®ñ§µ&!WUz\²¾÷JÍe 7}žã,rBxPéõ–mÿ/Þ¦y.·>·}Z0üÍ’y2* Wþ©µ³òø’þ/ÎîVß÷*=Cð8Û%¿ÿ¿¶Áa8I®rŒB–º¤­cïÚõsÊ«µIkpŽßk¥é}Î,]gûêMê«Âlú£úÿ!í,6à«xðŸTœ[ ôÆÚW´ñàÒ÷à›ŒóìyŽpdŸÆüzáJàñ£Öá@Ûüß´¹oª<ýhÀ¡îKq®a{~ë½Kç¡—”Ô3-MK?w½Z°û÷6¦ùÐ Å~ù4=œ©ü|wÇsm#¾Tó½S×ïÔ{¯Óø_*8#œÚWº_Y¼g}áeZÏʯ·†]%xû÷6Ï´ãÛ^&½ÛÊ_”ÔƒNcì×—†gO/™{j¨=߆\üO‚›éÇgë–~öªt3y‘p)þäkç³õ°Vg—îÓc‹óÛ=%eù!BŒU¶¡ô»ˆ~ŸØÆ9‰3RåyÛþ¸¤ÇêGÕîï(n>Þ?KóªmmŠ9ýb}VåÑMãVÍéJ½¿Mñ¶Û×9m¹WÉxÃ!žëêöûì7•Ôü5`ñžÒð<Öó©%u'n!§ý[éz6ï+ÝߣòÆc¯.}? žYº}N8¾x±«¤j*L®µ÷—»Û· ñîáÒmòò]ÌØ€m|Á§§è°Íµ®[-3Šï¤¾:h1ð1èµÒâo-þLévª€Ëq½ÿ¡Òui°œœ&X¹Ýè+dÁû7_©A¾:Có¿¥Ímþ”ÖÏÜôý]UºýVv¤›Bf }Ø=¥ûÉJ~Xxuéx\ûY±\©5tö‡5æÀ¿›ôÿ•žwå“{àNŒëýukxféþƶ•Eß1ÞÓX÷k¼²Ñ çÿ¸}iòË9¥ç^ œ Vå¿ÍñÅÉ!ÏBœ‡*ž=íó[Ìÿýélc»Á4`ýQýþ¶Òùô1b¯ûÙÒ}ì>^zž±hç‡Ú7ƒý#p¤ÊÛ~Ksù¨`RyçÍ;Zƒ^ÍøUçôœÿ(]ïz éƆ¾În°[øºÒÏ0ÁÛO×Zþpk{áµ¥Ÿ9MÇ‹ýoów”.Ó[Þ¤6žTzü¡øÓ°FÆÇ}¥ïÃKm~CÌ{<ùàWÔß/«=éÐ3¾Éß¼ž©þC®Y+=–À瀕nÃùƒ’{ÓôË‚ï³J?·þU鱡3cɨñ5|?ô½E°ª0=ûO4¶×–n—ýï…Gæ±’ë†1D0z£ÆûÖvèDÞ/™6t™1¦ë“'iŽÖÉœ_šîìò†Óê~• ¦AÓ+]G}ïPßÏmp ?™A÷ò€ÒÏ\‡ß,)SEMšC/,]‡oýîÁuëmû‰é¡^§ñ<è=h4d“ý¥ï3[å—0~]éq'+태þÁöî\ícÏvÁ!`T÷æs¿]c®t¹TåÊÉûÔÎ’ò–Æø+jUXPáòµõ»Û¨tÉ¢¾ydé2Úªp#äÁ£‚—mÁ· ®~¶­­Ë•onøï½î;Ú; ß[2¾|zGÙècSï/ݧôst…×Òë×áÌNå.Ý3XÞø²úŽ=áCm­"Îo° o*ݦ¾;ëò÷Í¥Û½÷jüq Y¬ÒÊbÌ[þ ψóp̡ʈÛ ƒ¦bo~méµ+‚^¢öêXç^_z¼ñí[uL—¿X¶… ¹8—Ç=W¶ª¥’ù§o/é ¼-ÆQqs«÷»=šï·~&. ×N-=gç¥j¯îi[þ¸µ5œ—Û&ÑÝgN¿ÿºõ¶ªÂiWØØÿwk{î ¥ÑÐ>åfûdiûÈ3nLë;çDÛ’¯ªü³é]Z«+5¯€SìCßZºŸÐBIѰֱοվ‹q xvKéûî‰Òs ŒU:_]è߯>«ÅbMWJ—-þ‡àwZÇÉ7·õÍœ»»ôW×sîçK£±G¶ï§!ß¿Lžº§õ7µßIÅãïècê.MZC¼±uí7–ÎOP2Vô¤_hk>|SÇð˜·Õiý‘æ­qG>¥Xûiÿôë›ì0 þPi}僥 ~·Þ?µô؃ø?dŠonýNã¬rPc­rÏé&!K·2ÿúÒsäWº>몒~y駴©Íwá=ÿs­ÙGškƒ¯f¼ÿÁÒõæ½–ûO.Ý·ç­ÿ3Jç¹Æ;b < Ù,Ö:lW?Yº qQƒãÂ_é ÷ ¿v æ‹Zÿ3Ûÿ;+mîú¦†KsÿKp0.Ü*ßÊß¾EŸÁ¿?ªþίý„~âÛí‘ü>­g!çA…ïÃ^©1œ×ÖoÈcÿ·õ–íu ï®ôy žý·ì+éGûÙàǽ¥ô|«{óEáÑ‚ù÷ÁM2õàçëûFÈáox¼ÒÚZø™Ò}1ê¦ÏlãþŒü—.)=Çæ+êýç4|š<§ÁÿÜ:Îùï(ÝGý¥Ó_À½îêÙêÒÐ5¬Õå=.ÝßÝ%ýǘ^¢9=©ô8éÊ WïÑÙVg~:̺N[ž¨g÷ÌBWöüÏ”¿²Rº~ïpé¼Æûnð— ¶ß ˜Vø¯üui8»Rº\[e”Ëï_ç|¶9\6äî›×ëóÅŸ,é‡=‰yO¼Ik´·tåëK·¹XWóWú¿¶³pKIÙnß÷•N/:sÇøOüq»}Mâ½ÛJ×=P¿–¥Ž¬Ã™X³ºÿ­|ª‚ø#¥ï7´1 <)Ænç’ôéÑ×{+l,ûÞ"xdz§•´‰‡\·´Gs>©t=ç…zoé~{ß°ëÉö1ì»U®ŸÖ¾6Už÷èÇ•.Gxü²clÐáYN¸ÿ:z[Ù(÷Y‡q»Î‰>+ß¡ñ«ÍŸ^\ºOpŵé¥Ûb‚ï|´tT¼sUé1j/jãhg±ôØ—úîIWÒ7gk趢ÝÓK÷Ý[zn¾{ë»;k[ÁËž¥÷ƒçžÚç6ìíߥ¹ÄžñC ‡~p‘æõvÁáÔÒõЫ¥ûoWyjS=·ùj–î}@Û´} ­yÔÉ|6>Þ¾tH^óýšg¥÷å{ÚšsŠ3Ü»J÷ªó>ð•Òα~¤ôØvËÓ+müÛßSû¬<ú`èHB¯ò÷Ü&Ö?žÒÚyÄ=ec.‡£š÷ËJ“!C†ˆóaÈ&ï×½¥¶Ž+•?n y3ô“Ö_VZŸ|“Ö襟 }Ö xî(©3Y ^ÐÈ#Û·ß;cÝXâû_Ò&6ÈÁ«Ÿ¤ù¬êzaé~wêþ%‚Q•·WÞ´§þ<¬¶¿´}0p(ðéκ$’/¸ü·Öír€ÇC>½£­ãÚCJÏ^mú°‰õÉ’ss/8Púyôé¥×5öÞPit®ÒâP7$æ\Û|JãýוžÄ´ëðs%i6r€¾0¾=Mëï­¾˜þ£d‡ŠsËçj9;¾¿^ßú¬½\º?RÀè^%mì>?em›½‚ûC5Æ3K¯æýÇüÀº^ïÝëþ¦Ò]MßPº+ö‚À›#¥Ûý|6‹û•Þ짱­t¹é€ðÁûÞN­‘Î[ƒ^p“`84VÏ’ ?UºnÕ¶£SK÷Ñï?Òàõ2þþ{ÔçÏ6ûö“Ã{lœ?^¯‰óú¡6¶W”^¯+ö¦zF½ã7J‹é­8¾¹¶¿ðB-Ú~Péu€´‡Lƒ·¼§Íý®_.-vĸïÜY2f%á¹ÒþŸû‘Òý¶i|7hÎÛÔç}u?¾‰½9øÑ‹ZÛƒ_Û¦uëv­º7 ¾r¡Œv*Í,¼¦$?Ëx}댴¶-Ý–\ùØwi¼Ï–>Á|8àasjé´þŽÒcž¼Æ»•ŸÎÕ9M§Z»+KÖèXÞóÄ£…ेK¯7±´®ëNâYå ‡,‡Ç;¿]ºm©¾·Tû;rwâ ÿ´€oœub {ÁŸTóÕm}žu¬äy~ÈIæ}7Æs}éúü¥×š<"Øý~é|h³àÿ{¥ç“¼ªt=tì÷c¶öÃ÷âznßc{x»7wéú¾…6æ¥Ø?ïj¿ãü8Øål;6_ÒZ½j\¢Ÿ8ãW1IÉ«}Y+½ö†}˜÷Γüº•[4–“Z»ÓëK‰:CørcƒÍÎó5×8'œ¥gÒÏñ¿a ;Gk{›îÕqÎ…Ì!ž1ÔÀ:¥ô}MråP³¹þŽ:ÁÛíÓµ­ô=hoé¹UãþýKÏqòBµoyAv㡯 »ùCe£Žô®ÒóRŒ¹Î1Ž×ªŸÖzï,]ï}¢ôóÚžÒqøgJ—ùߨ{—‹ƒ¾[ýÜZzÞŲ¡VÒÀÓ/(]>:«tºØRz ú=:oY&_Ö\b|Ó{?^zÍðõ²ÂÞÒ÷Å K—ý½y¾ý.dG›ÿDéúá3û˜ç¼[kº›Ð{Ä7÷«8õ΋yÉó¯])÷¹ÕÒuÖmœ(é¹à}t—ülöh}ÖJ÷Ù[ú^Wç6 ˜ž¿ ôX„ø?påîÒxÓÁÒón_7ŸoÓ5ðèEZ³õüjý|Yì]Ëumþwƒ×P«»^Ý×eëÖØ×ûµ¶·ý¼`|zéûê&/hÔ:æç–î´^N©m,üué瑃/&ujÊ?DkyŽàqQIZÙUϤó¡Ký¸Úx„Ú¾¶ôü ±¦Áƒ·…ëxéþ¯Àñðë x¾\ãÚ¯÷ïÝøõPŸ³Žmîyê'à^ϧÓ*¯m©g”s²³$­íºÓJ·mY§µ$x½ªt0ù‰2Òû¦Ìx|öût­sÚ"9{áùZûÚÏâëçSKúCî~‡ìZö§9ÞîÏY¶,¸ÆõzçšKàÒ½J÷í~kiq‰w¶±o‰õ±OMàÒóKÏ¿`[Î{ZCÜP…Ù|œ—~\ï[ß`»}¬aÐÒ%¥ŸwëóéáÒ÷®€áo–о]~|}ï~¥Ë¬Ö©íipôèç•ôQŸ Ý’õÿëôQÉ77}|ÒÆ–ÒõµýÅ[ô¬ÒïäÉ¥ÇÉƽ ÛÉÉÒáYfþ¶Òí0â÷Ã~í½¸ùÈN£ÍG×qÖ3Áü?¶>£f˳~µõrµs»ðá“¥ë<ÿ³yàáÒÏÉö³¡òiÿEûK·œÕǘõœþ´mvª}š‹÷¯”~® \½­tý…å1Û@¼,wk l“«ë²xnÙX¯0ÆõüÒ÷˜“5ž;KÙ¶~v¥l<#ÛNï]ßÞÙTïE ÝÚÖf° ýøoÕçßÓ¾Ÿýš÷0·ùävoNú×Ôå\Òìñs×”îk²v•×϶w]zŒïÙrÎ/MFX(™7(ôŒÃØ?¯1}® yøÖ1Ð_È`Vš?ÝÏ·µjù„î ö–?.CÜÏp¯òÊIØv>¡¶BòÙz/h¥žU"ÏÛ¤ÒÝPï;èÎv†üPGõÛüûäÒóƒÜOß\Q2ïÜÄvýØ'b_x­Þ¹ºô=?¾}néñ™ šSè%¬'Z'³yö¼ŸŠ7OöèãË^ÙNúLþµtÃ}„K>“D»±Gî.½.Sœ3.,]ïv@±F?­6$·zëb~!Kœ+<{xIø@ë±GÞK×xî³éÙ‚ÏKžuŸŸ=CŒUz®ëÓßà»r{é>0w—¶oÎÅ~'ýùñÇh-ï–#xÝ)Ê!rOßü–ô#ûö€AåËC. Ÿ ´&“O–vγŸÌ:™yZûbbb<_«µ´Þöˆâ ÿ¢Níé¥óWùím~Zé4ø¥ÒäÙ7”~~?®öÎ*=¶­Îe¾âöÖsÕÞm‚Sœ]ƒ‡|¿ÖâtÑsŇպ—­Æx¥oêx7µd-„ͯ×ýµßÁÇÊ{ð«´nÁ›þµô¸ÁúÎ[>ÝÖ`Èódû[ý~[è'+íOCxRéu¿×ÙCâþÏW—~^q¼¦ôZ‡l<¬d~êÁ÷Áx¼µÍqÐ=,=Oä)Z£lw0´ æÄÏnm¦-|Qó\-½ŽÚâºï-+nÕœf¿X:½<¤t¼øæût/ú8P2nrU麡uòñÄ:çMêÃvÍ¥û‰l>èçDé2þJé´0¨44Ô± Ü•îâDÀ2pH¾þðº²ar yŸ¿¤ôŠÛWÍmðó¸BWûãÅXÏ,Ý?+Î-Ï.·<®ô˜§ç蛵kä.ö6é3†1.íÕ¼·•kVû@éñćK?&— /ÎÒX¾©'Ö8|çn’ÝëÕ ÞYó%Þ{@[§¢ÍïÕ:œTzžÜà5ß'ØÙÚì ±žûK×óœ^úÞuÆXï ù,~[mú RùËPg1Î\O)=§@ð­Ð7ÝWëvyÉsüPW$þ¿³ô‹ò#K™0þB7´_z«ÀÝБ/~hégÖ ×àco*ͧçì’¶À!þÜ2¥õ¢[5¦‹5΀ûÝÂs‹ëK?ütûó®Òñ<äãz®½àÓ¥ó˳Ö[‹ï^Õß›ÜÃnw]ézÔŠW+,=n:¾ œ{°`2àyëú©krâ¡šûµzGgåðY˜œ]òŒw0®ëdŽ´ÉÆÞqaérq…Åü·6§¬_ðû‰nÓÜž(þ¸4\ÿÁéuÞõúdiò]ìY±¿\ÿþ¶´z…-í¼ôk¥í£ÿCß¿Kër±Æ&ž™ºÑýe£nÿT]+>>á©•t‚/ܪ{õ÷àó®|tSà~ÐNìï!»×½lîÕ¿ÎÀ[槕®—‰¾~Uí×`4ä\ XW3÷uhoÖs­ç-kŸÞú}IÀn‡`g¦8g/_j¿Ã—yØ—C~ùLé{Ì¡ÒÏwQûwé»ãëú°ÜõšÖÏ`ó¯k:äzÜUºžkMß™ÇìLE¿_Xú94Ö9ð+dƒ-ÞÚÖ5Úãˆ=øK?Ã\Pò<9g[\àá‰Òã§6«ÇJÞÓà¿é»kÛï.=6Í6óøý±2Ð÷ðôøu]I=ûÐFÀ÷ù¥ûø-Èð¥ëýã½*_ο¯t^ÿ½ÿRÍÑ4v¢tïjÉVkñ¬Òm»~§õ3ýÞÒÏ]ñìÁm=–c½ªl?‰qí×},k3,”®÷}Mko)Î?P:¿ªóØ2dÈ5Çݺ ë…â¼øºæ”º˜ó¯—~FRìÀÜÿÑwßÖæ<‰sÑ7´ïö/Ý'Çç¯se½ÆCƒXgŸb½®5º¡áÎíJúNŸú%ÁóçJ˧zZóÂgJÊoƒ¿Ñ›»óKÖPž‹½"xnÝãÎþ ýkôôÒíQïQ;¶uU|˜þÒùÀNÍ¥ÊF›^Úæ<ÿûzmܧ­ÉÀÿ¢½{Ý&1Ï;KçÑï/ný ¹ãýû­ëcwé<é÷Û½Aß ôÜÓ[K÷g4Ÿ÷ÙÖøðu¥×|”úx|éy°âþþÒë_°-ëöv}bÅ“ûúÌvf[›DûÒa%÷•¾wZÆx`érÙ}ÕöÓZÿCî— ‘àñõÿ…ûè½ÓJ—Å%íùóÒÎÝ‹ÈÝ0Ùò«ël‹›×Í=t¿Rºm*Ætyé9âúüܺsÁrú ½çù]£oNiï 1Á;ßï]úYs¥t›…Dz,yÉý}ú'¥Ó¸×0ÚøãÒìTR TÚE÷”î£|Né{L´ñSëú‹1ßÓÖkr‡¾ûBé¾õû}Kû½ðŽ¾^Së)½ÖŸÚ/ªþ¿³ÒÇ|ÀCö#“ácpYÙ`#>¹ò mÑ÷%jó·Jú•¬ÆÜßÚÆzUœ1ö—ÿï9}y›ï$dž£}ýŸôáû!o”u Á­óÛŇJý <ù\Éر\¯X«Í#öSK—‹.Ó;Ÿ^‡S±~±ÿ„ÿF…ë¶8C^ZºŸDmkÁºª—^ËÓ~oÑÎ/”¦› ÛÏEw]§ã×µq\ÿªÒõÌõ2ðþO•·Ÿ ÿÛæ¶ùme£ÿFàÚá¶& nëºûåm=X…œ~Mé>LU¶œ~—àdø^½¦æ• ¥ëyß/œ¸¾ôúÛqΗֽâà)Ÿ-ýLrZ»†Ø‘ §¥•.Ó/–ÌÓ5Ô{ûÁ*tß^RÆê®Ù÷çÆÒÏ-ÖËÖ±L̋Ͷ4»Òö˜_à—KʤCþMïy¿]zË>›ÚÎãóšÎ‘Cý…咹ض…Þæ•zçöÖÇä jç­KÈ‹±ß¬JÎX,¹?\s·p&î?OãÚÛÖ|й=¬­¥cm‡üÛ…KÑgðÓ•um®ô9<¶ò¡cß©gçh.ÿ³´Z$»$c¾¤ÍuÈ“xfé²m6‹š›ö•VBÿ-õù-¥ïÇÖÁËv?øwQßk¥Ù¾ë»gkð9Q×{W´):ø¡aì6ÿ±Ái9ä=êû…Ú·lK9Z:ÿYÓx½ÿ_ZzÍÀS5¯[¥Õ-q^<|ŸÖ¢Âa®ò¢¡~½m%1¶kK·¿ÿKIpÊS†óIÊS°ÚÚÞ®5‹ómð×x&¨¤5ËV›Kæ·ßóg¶h|.=7Ébéq%ÛJ¯¹èóšþ&^“—•¾—¸Ù4ÃÖ÷c¥×çø„Öï×ÛÜ»b´EÉ\Ç¡7˜ÞTz¾jŸÃ&vŸ ¬oª ¾8·®ïCëþ·ÎËçè•þÿE¡Ã8Yç’KÛúMþ .QŒý>ZÿSÕ×um=‡³Ÿõ¶ÿ_¦uÙçëZ¿sß_ºïÏöÒ}›.׺-Ýo¤Ê6û~´õ5ý›Òõ1ΕNÛKæÖ‰:«Ó÷¬›cÀþ®¶þÛ>_ºNvSÉi³‹ý d»Ð­T^qÑÃyò¼Ö÷äŸÛÿ›.•Ý,žhpöÀUé=ƒÏî‡ ´O°zû:¸xÝ¢ßKÚý‰è=t?ÓëKÓWŸ(=Þ?þ¿oÉ8ÐùÊ󞲫tû屶†—T8ü9}g½£a¶¨¿ºNsW_,ÝÖyÚ8UøpHsˆsÜï*G ù1ÛÛÚ:žØ'nÖûÛ×ó„S7—®ŸØ%›šíJwIVx„Þ3?õù½Âîì¿*Ê:ø›ß¤wÕ`1اßZú~ü1hðŒ’{ê~ëì·¶1y…Œ‡ß¬ÿ÷N×øc_½²ÍqÁ¾ü›%',´¶~½à´¦gÏ.].zbƒó`Ó4ì/‘n1àôƒšG<Û/˜Taóïª/ïÏaÏ ™YýÄùïšöÎÂúþ)}^YÇð¬’ûÂÕÏj}gÝ»'–~†\պ׹Ÿó\õ}¾Ú ÞYe§ï<µõ3è-cºW›ÿÜÚ-núJ'Åüÿ®};ÿÀÒs1 y*hë¾e£o÷Œ˜kå_ ?^º.zKãô†ƒìñ¥û ^¤öêØN·^ð‡JÃÛÐIœªñZîØÝúŠÚ—±÷ ~K® •®öž-øhrRÈ®±ëEjû@›ë×e½XÇe^çýWmóð{Z ü¶àí'·ñÄ+¡Ÿœþa{g僟_ðΗ4_ÑÅo*) ]ðŠ’6Óažo/ïX§~régž×–N¶9Çþùµ¥ÇFÄÙïHé6ê[µVKšOב]¡ow—Y°Tß“¿Ðš¼¬¤^ìÈO—._RrÏ\ ùYü:üóR'ãšøLéõÃãûo-©·šüBévìxW6…¡†˜àÓ¯jÆSK?ËÞRÿ-òéÓJ÷7²Ì:Ê/”n·ÛUºoùãJÇÙXßJO›ÞZÒž´ò'zö]¥Ëbq}¨àã³þ~OÏp^~§`´¿tÛ&þ£­Ùté:š½j÷îÒ} ÷i}å#äœCÓ,Ý.ycI¡-!†þ®²Ñ§±Âyî#¥ï±ëd£é'Kó?ý©Òm ¡‹Šñ¬•AƼôA‚ÇÏË'C¶†A¿e9cO;‹¾ ±¿n’>Kv¤¡þEÅÑé›K·#Å|V2ž!mG+-Ðo¾T9{<î÷•”Q'>OËomðCÿžvorɺsàÀÏ/,¹/|¶ôîÒyùM¥Û»*ŸŒzU“ó…?ÇÕNÀÈò}msëtZ[Û‰ö·ùÀåÐi_»?äW4ä·Þ¯ó¤é÷þÛõ¥ñó_)]~¿ t?Ö-%ÏçéWX÷–eËÖÖÍÆïו–gGIüNýSè)äg²`~³ 1^^!XÇÿõùEï.ýpgiöæSJÏ‘ûÑÒäèÏ ^»KÏÑ|¢ôÜŠ¶;½_xr“¾ Ú{’Æøœ²¡æÄJÝ«·U¸œy1öøKËƺru ‹Áß¾K÷®Ö>®ôØ7ËÉÖOlÑxnŒînk˜yfw·µ¶îaúVôs¿¤tz[)Ýæß¿Có¼¯àøfëÜ ÚMl«:Tz¾þŸ¨Ã=µ¤]jç›ÊFöãò†q¾üSc<•þblÿ,š:·È·:ðÑÀ 뤖۸¦¯×xCV­ø>=Iã \}z½]ùÊÂçõí‹õ,|b߶p%ÆSÏ ö›ˆ¿‹¿o,í>–ÝÅ6øÒùLs»B°{–ò”ĸ&±WT\š Ú : ™)æw~I`8‹Û6xeþûñ%} —*>‡oß¡Ê»æíÃò˜7~ìÓÿÔ܂ϼ,kˆ–ûþÍ‚ËÕß‘²áì>ÀâyµÍ¯ã–=îÒß+Ý6{H8ðƒ%ÏNƒnáW…Sšýe¨owªà:ŽÊ{&•¾'ÁÚúÛ\Ïžó*¿IÈ7†ý½ÖÁÙç³/UNë´_]=§tœõÕ6ßaž¡Gz`ƒÛüÿÕ÷_z=çø®ŽwþášÏ¹¥ë4o(=æÈúYóò]z¯Îqˆ/x}Bs~e×ImýSŸ²o¥!÷ÜÎÖþpî¬ãÚüú6æõ+¥ÛhýŸØÖw¡ÂýØãKÆö‡OÌö(ÿÚ³û×qo¯üm!öÕø«2ä\œYƒOjx´òÄÒm3Ÿ8²VZ.Ä€‰ý¬Ã—>Ãë°¼»âà¶ß(MŸóæ»-ö yyéô°Y°Šo¯>cmª<µøÁÖûÛKÕÇC˧”ëvJ鶟m¢Ù ‘§«½cì O´ÿ#§âJÝo—*>%äï«Ô—å©ãëúˆ¿SKù œŠ}èOK×kÝ¥¾®-]ß|méç†SJ—öéZeëê™qçK«aº·t[ËJé¾+g¬[ÿÀãÞ)¥ûÍZ¸¤y˜þãÙíº5äIë!ê{s,}ß 9ëŠÒeò«J×yn׸bý?VºN Ú¾Ap6¯¼»tYÜ{RÅó¹°Wz ÛÓ–Z‘Ïpq­ô˜´s×õ-ûØæÀû7é8£­ ‡•?hpDô;Ä ÎÅÞúÝ¥éÎÒ·_ÓÞßûG¥Éƒ?Úøã  }ÐÕ²³Ôý&ü4翪õ±Í/Ö0ΣÏÑ\‚oÛnÿºwyIðÜJÏ'"»ù cÖþ¦õoG•"u{Ì/d›5óJÏÝxTã·?ØZÛiOÓ:Èƺ´RÛþEÍ'øÎw”î½Zz.™_К~Mé~öÉ:¯¤òòÃÛ÷ÓºWí>T:ÿû|éþß!ÿCéö¬…Òm» ¥û¦| ‚ágÛ8+Ϙ¾¿Íe8»°týJð¸€W=_.}]ûÖ¿ªÍýŸÒu˕ߧžÏ6ÛÞb.ßvÆúYzŒŠõz±^Wï+‡¥·þ¯ëµkæsŠeóýmæ>Vr/t÷†ŸÏœÑFàOðÒWBÿþŒ²Ñv^×bá ¥çÖ‰¿{JÖÏÆr½ž{-,çH®úvÂÁÖ¼Ðà4Ôn8¬ö–Ÿ»Ê{ìܨOóøÕÒm…ÑÎiÍ¿2óDzOñYü‚Òeäï׸Ž¶ï‚—m}ké9±cÝßÖô+¯ðžp}yé~…?³n>¦«M뮶h¼r˜§Ï.·iL1¿c%}“†š©•§yƒ÷=Sp©¼$ê=^s³òÙçóìï*=Ë’`t“þy!ðò¼Ò÷#둶4Ÿ®!Ouèµ玔îWd=΋ËF…u’ý‡ÿ_¥¹þxé|Ãç•?x¶æý†Òmw~ß°»{0þê~»åûÔOÌᜒ~Rß÷WÊÀ7§¯jºú¯+}]Pǵü[íýÇ4ž CËáëu;×—&s|O×óè+píÁæ¡òeÙÚñe°]ÄŸü'òlñÎ&Û¦¼®}¦¡W¶ïÇI¥Û^bþ.I“ŸOöj]Lg«¥çý¾³¢ËçJÊSÓe•É&a žTÏÜóñýëú:ÍUùúÎw >^›óK§¥Ã¥ï{4έ­­?ÿVI¹&rTîzoIkï‘Pš¿aŒ­ÊÊbÞwÉsÆ´ôõõõÓÊË'ö!±,6¨§–ŽS(õJ»4®ÿн•öî§JÏ#òÿÚÒuÖko-=fj§~ÿºÔ¡[Úz†`óÐ’ú—a|W´¾çƒï‡~ûÍ;øxœµb¯ÿ1ÍÇ>^]ºïÁ“löÕsÚ@'Ï©K{}é>ÚÁ¯ƒ®{‡›MgbÜ2Ÿ­rÉ ؆syuéçï¥óIóåÝ¥çq¶ÍvQí¾¬4º;ÔÇÇ=¥Ç±,ˆæ¬Žñ¼¹t¨uHçô÷SŽþï§ÿÃçºJž_NÿµsLë²Yí}sévAï U.â‡Î*'Ÿ%¸Ný¤æ |L¾v³tÇÏmí\PÇqÝ[4V¯·÷ßGµï".öQ¿Vz^ƒ€±u²Ö‹ŹæäÖï \,=·B}éžÒëL_Uzà¥ûGZÆûÒóûÕg«¿ÔÎßa»Š˜¨ÝO£fì€óU>³bìY?Ü×sZià´8?ÜTzÌ÷ðÏ–/ûAð’]šO\×JÏöÎÖæôsmÝOò¼Ÿ¬¼l¶-U^}J•k‡ZK’ñê<.}’Ú :´]/ú ¹ç #dË£ßÙæ2ÈÅï.=–ä)%õ_›¾Xº^çÛëØj­{oƒÝPkè†ÿÉ»K×ןÖƼG2ß°¼¼ôz,A{-™'kú¯‚É•¥ïw±þ/jcâ]*/üyã<òÃ¥ËÑÞÏ´ëiÏmc¿®âGä¯ò±l^ØÆ¿U2eŒ«Êâ;^'¸Ý"ï­¥ï=²ëçôºw¾§®ãöÚæ–*sNÂoä'ÚœVþ@ã°ŽØòmÐLðšSJúKìÿŸzç­Ïð1Έ¿SzŽÿzn›¼Bc©ïÎÿs÷Üo &1§µ [ÑAý=J}?¬d„‰÷—'i.'J? Ǿº©¿ok7ä;¶~/¾yZéþô+%k¥c¿ÖÜöš-m®Ó—j<{Ô_ÈÊg”<:-é ßbŸ©c?ºDkx<,ïEŸ!í,=¶øÔÒýÖâ¼{Méûë…šÇ7–î‹`žù‚Ò}k6 õ,=w†ÆçÖÏ]×ÿ_èúØÒÏ›ÚëæžSÿ—¾·¤Ý.åèc¥ëÚ/ܣͿ+m=§}sjØàâÌú²Òùê“Ú:¦ü÷¼¯ú p®rÓt·æÏ+~EìÂä×J÷…Þ~¤t}Œ÷” —­–¼Wm-éÇ3ø™Ü&¹éymžWy÷ü§¬–*}ÌWdú5 .‘Ïj° ìR¿Ï¯(ò­e½¥û˜…>éÍ¥Ÿ½¼·Å:Ä^v@¿ï_z¤¾ÔÆ0¬‘è|KÇÑàŸ‡„#{K?G¬–~î9]}¼§ õR#îÓž’|iA¶´È œvÇø z½èTÁòf­Y}gˆk´,Pß™[jðIÞZߟ«x´ôn=äã%ϬÏU¿Øv«ðärÁc_×#ö³=í½C?¡9W~µ83ß^¬Ã“KÒwÔJ¼iª¶â\>©^$øX?òc­ÿ­Ufٶǯ­"Ó÷—žS¬Ê »viŒA·•ÌßZºMæPñiñp;†­øY îuŸ ßçaüUF™„Lª=`8KŽœ^ÓqeÈ•0¿ t|•dr[éò˜õHæ'—.ì*?¨t}ßkÔVÌ!ô u¿;û/KÏ—ºOßF{AÓuêÖµ™¿¶t©u§{lüÜÖ×pN²õåP_¿Y:ÿ”L2Øj[KÖS¬'=³­‡ÏBClè‹\/ÜÝ®ƒŸDèÜ‚ÿ…Lpöy<ærJÃé7 Ž!+X¯s[ÅÍéešÿ? ž¿ÐÆ}eØmêµ=6ÿ°Ö¦®Óô‹ß“5ÿƒ­ßùw5ßòA~n߱˔kæ­[ð˜ý^XŸ¾¥ô)ßZºŸÇZiûbø¼ÄþqQi9`ÂæøeÁ¤òç‰m‹Çš¿Ðü´lÔ¿®”~†yOéy¾mß1T>½¸thÈî1®ÿ©{:/ÎÛÿe‡dãsJ××mÑúK6Ƚ(þ¿³¶ÿˆÒí‘O+]/8ðLý¸\Zº¢Ê [|VY^×—ñR|iø;¤u ×%õaißµ})Ú~\ɘ¦ÁÞréº8Ü“Û{Cž$ŸA*-Lï.=ÎÅã½Æ¿‡O‚×óî³b´4ü Ò}W·µ5Þ¯ëµÈ2ÏVw½Nó|Íë¨xCðŽºŸN'¥ÛwãÝŸ(]ççÇX×8oKZ×—h®ûÕOÓ®ÿ+ø-Ý/ìWô<ô(•î'ÑVؾX6î#Ô~ðsËsÂùiè¯Ö‚wœR:ÍÝ·]çKãŸ[JÿY)ý,ê9.4˜ëíTú™|¾ÙkCN£¿¬Cι@9¹®ÛÚÌG¿)]‡Sñ`ç—ôQ;Õ4[û\ø{Á'ö›=Ò‰­×¡Z_ï}2ÆzÓW—îcpjûvz§î]Õú‰|h釿TºŸÅÝ¥Ó­uŽó“Òut×—ÆKãÜù趃Ýÿá¬Òsm¨¤j˜WÀÙºÀÛJõXií :Ž¸÷Ùš*êFí*'}^í\\òü>÷ñ’~.Ã_ìiÓsóQëÕNVÇJ×ÃÙ7j«î/ÝŽßý{é¹?B–?IïÇœâ,õ˜ÒÏ' þæÙ3× >.¬£…i¥ßå Ÿ­±W>§$ÏÌ|æç[Jæ9j]¤uH1.ËpÖí†ïÆZ§ÿ.Ÿ­gx-/¨çñãÖõl/=þ<æ}ÿÒõ˃ùvÀs·ÆQÇuÌë|BczVI?Ç#çbßz~k{oÀ=ón-`ó—¥ï}ÑÏO–~îYi÷V_SºN²Ê%§†})lKq‹sTÈɯ.=çBûvó¡Òuõ ¥×ëˆ9†Ç»Júè=ôŽ¿Ð~ßõ±‹Ç‡lã:²HŨ/xòÓ[›‘«sbžá9¶Q§gè÷GJçƒo/Íãkµ_^ÝØ`9ÔÅ©c_øÁÚÆGµ~æ¥æ]¶…G¿{u½µ­÷œmG1ŽÀŸ‡·µ›üY[›ÌqwHmî¼Kã¯çß!‡Ó™ê·ÂiúU÷ƒ¥ç84œw”çsIé±Hw•”–J¸óúpƒmÖ%ï¯ïëó¿«{u|óÒ):ž,õÒóíýÝÒiù×KÏ/rð4^ë»O¬ûmZŠyÜ¢sGÐô庵Lu•ÖÌ|Û{ûù¥ûr‡«kìŸÃà-×–äɗߧÍuñ[Z;Q›aXÓ*zoéç‹è£ÒÙYO(žãZe«é¥eCιý/¯ ˆ}'äü?)Vö «šçkÚ8Wb¿¿—Þy›ö°g”›bùÔk¹©Áõ¤×ÃÇìi²á^VzüñfùÀø¬b9º>ßµGc£åå;4ÎÏ4ؼ?Τß[:ˆ1MøÜmÛØIúöIêCgÔa‚Ö¿>_R´å;4ÎÃÇ3K—O*ÝíòY-àñÀÒ}>î(ÉC·®6 cÿ¥ÒÏi×—Îcl;[-=G±ù¶õ½ÓØ«<°òaý6¬c½¾^¿»ô8€ß›ëP¬‰ï?(Y$`ö¥Ëég”®«Ú[º­:®ç•žj¥t½…Ï3õ›¹éâ xMé2øæu×7Ø ¾ ÖÉßb­Žh÷¿¥t{ËË [꬗ ”~¾ˆöþWðjˆ±œ¸®$Ÿ9ù¥çýòy¸î[þ^ó Xß»ôswÅÓýÿ%/]–´¬{{éò^Èô þ;KÖ¡dÝÐÛÈÞ0_Ï·ó•>Ö‚ÎOhMC ^üï¸qZ[§ÓCfz¾Æ牗¨ýÔgÀúWüæcnçj~AÓß^Ò¦:­òÈäšwíëòÿžõᥟ]¬’½îJëê$ÏeMÓ¤ié@»Î/ýÌ_¿Ù4o~¼+öõÐYìÒ;öÙÛûÚø€Æ«3_ÔÿJ>´Tqè=1þØ[–^§:Æ(}è —^ž„þè¿J÷ÿë÷•V°Âä²Ð!„¿[ÀûÂÒõ<Ÿ.ö ~ÖOmÖÜ´;Ú¸†õ9UmÄ{ç•nsŽ9zÿûÆÒ÷‚›K×ýïÕúŸ^r¿Üýî×aß·\|ŠÖî¶Òó_­i}~¾Él›cƒ·Ý·ä¹uOô8üôÒå©ëK«ó¶’õ_ßQº¦uÖû˜*î|té59‚'Ò—wé1.RÒŸkúñÒd¯8/>Rïÿ»`ùõ×wëÙµ¥çƹæ¼V{ÃÁß,ý\wÖº±žWºœo;·õÄ ¥Ë³Þ“þ?Ú싃|Uá¶-ôUg´~ûëé ­ßëK·E›Aû±Ç9ãû4†àK¤v/,ýë¼·?P²Ö÷ fÖGïÒ÷hë{ÚóJ×…ï)é+2yiËÉ>ü>\2ß÷¦¡®q<»²ôú× nÐxþ­­ë0¾èÿµuZéuÅO׺Æý}jï }wgi8s/õÿñ‚ÒsE¿Wµ9L¤ æó©ÒϪ«Zãë[%ç 4ç3Ø¢ætT÷­ÛйàŽJ§¿õ¥Ò÷Žõü+ÿæâ^å7‘£{°™Xž9¢÷–Öà:¬ËRIžunÐöÃÛ¸§o*Ý?ýœöü‹ÿÖÚÛåäKêܶö_ùÚó­ßÝ¡Ã|eãÕ¶…GÍ«¡–ÈÓÔ÷Z›ß#0öºŠóÛþ¶¹†ýõ°`qeéüoSévíøý|՘ܮ±†ì²Ø5w¬Iì§/+‰ãËï-Ýþ¾ÔÞÙsYIž±éÇKωø—¥ëú—µ¶,ïÒ7uœó]z‡¯–.ÿ­”–?êÔÒkXO±Us ¥ÒÝôGôNmgsü–Ætðóm s!ǽ½^¯C^¸ºwüæ€æå5¯°;ý[?CNíç«·´µöá[K×ïÆ:Ÿ_úyà`ëâ}~ßùpèÔ–ý ‡½ìÔÒylÌ÷gJ÷EM†Œ±í{›/å0×=¥Ë3O/=Và¥ï >Çn|æÏ/)Ýß9`<äu%yÑ`|gçÖ–î¸~¹ÆôŠÒùJ…ãIŸÐ÷»å¿jš¯÷Ž}\sñ>{{é|ôˆÖælý_ñq[´û¶†±?,¯• þËöUØöMMÇ•r陥۵ÌOlsñZ,µ1®Æúή©ßºÎ‡~£c÷NÓ÷–ßñ%ËŸû<çcßRº.geÝx¢oX·:Éïêÿ·i¬ñWe…°á\)>¾H«‚‰åj÷¹Iÿ?ª¤ bâóÅ}åïcß…‚ã‹+Ê}§àpýä÷Z»s–©Ÿªö7ÿ¤ta´³§}{qÀ¼ÒÞ¢ÏR– b?¶NÐû›ÿLÇ¿õuƒ3JúM½f;J?;Ô~‡S›J§AŸ-b=âÿÛ5û;Ôýw“õ=Ñ^è?BÇ|¾Öö~zvDk|géúÕe£¯ÏKßG…ϸWé´Z×fWÐÔm|ßÛæ4œ5ý]ÐQ½ƒí•æçÂö^Ï–Ó8 ü¹àûá:¼­ZŸªïT9uRÏ ›¿¥t?Ä:¦•°w…¼ñx­OŒÝçÑ‹K—,w}“ærFéú]ó­Âé3Ôþ‚‡ü£ê~3ì[´Æ>ß*XÆ~ûÊ›ÊF2pA{bÆ"o×ÿ'•n? yigév•À½£ ®®-°ù¥ÇÄý‰¥ãÓ}J·ß¯ç½ëeÜ'iÌ×ß-ã¬þ¥t}Ò–’¸5ä…‰ç't¯Ê¦ÓJCƒí%ø÷J_ÿ÷¾Nã~¢`îu|ý}Á²¾·é÷Ô·ýv—λâ÷ËôûÌÒór[–·ßˆ}¶ ¾±n•gLE·;žÓü§Ÿ(=—ÕZpmÈ‘ßœVR²ã}¥ÓåaÁÜ:µ¶5Ûþ§ëÆjÝÙŠ`sQƒÃüM‚oìg—©ý Ûw—ž‡Å{`üÙû¾mæ¾ÜÚ;í ¥Õ xUœrpØÞ¸Eï_§±\_š,ãy¥¾ùÙÒó9ÆØbßý7é›c½ïÐÜÎ*éß 9<ÏÓïo.éŸ1ì™Ï*=?ç`¾øk¥ÉAÿ×”ÎVJ×c¿eݽÀÓ;[ÿØÕa6Tù¥L퇷ÐÖäá¡ç{Øï·çCÎïWu/\ïž¹3lÂq¦|µÖó4§€ß‡K£­³Ÿ5«Œ8÷l}÷­ß}¯okzÂéo«5¦_)ݧÓ:žMm §=±½»9ÖâûKúGNN´¾'ïkm<5xôkÚ· ÖÜ\z]éà&†å”¾¿x-â¬÷µmœÃX~´ôüYö¹‰3KœÕåW4Ä,´çóU:míX·n//gÕw­«c¼ÚsûJÖ>Û_écûSõý%ùÉ4híöuc^¯s2ÿ š“Ž6y×béñ°ßÑÖ&s%,h>hÜòiO?Š+;N ãº|zÉüYÃ÷·ÉnmÖ½%j/½¬4~á}Ñ{¸Ûò^z@0‰~ßPº?HíÿÞ!³üž|¦â›J» ÷óë5úz«Ú Žw žž§d×Eêí~·õ5ÄÑ\¿nÍëYòzÛ7l“ÿ´æûüÒý2Îls>ígÖõc÷9?Öø×K£ßøö”Ò÷Œ·–·\Ÿ]ñÚ’ô½ôë¥ûÑžª6oźF{>§oðÝúë¥ë^¥ÿëù~ñÓm^Ã>v¡ÖÂ2Ràé٥ǀ¯iMÒøåü•.“†<ûpÙ•w –Ư?SûGÚ_&?¤ÿ/Ö\¯Ðšþ©ÞýåÒx¢p%åáø{A{wqGÉ|0Ó³µ±®¯Ô˜Týpéú Ë€1Æ=êûUºž>§ô¼ÉûÖ­Ë“ÖÍ3þÄÞhŠ}¥Ë-+un!ï_-ü¬Ú‰9¼¨ô<ñÍ«K×ñÇ8.\þ¡$¿t!+z/d¯7•ô©j ×o¶~¦SŹ舘¿8ûŸ8"¸_Zz~Åúÿä³mN§ÖõŸ¿¡òϱòå‰mª–Ke ®Ï*ø\{ÊÙ¥û“¬–”7‡3Ü…¥Ëì¯^‡ñü#¥ë_ û¶C~°tcÀÇ:,Û,«/–~n?Xz¾šÅuÏv–ô‡ÙpFðâ÷–tO¾„ ±o\¯µ9Vz,l¼Séfç›5ÞÓJeyBéyî¿û\SÒƸïV9oWÐL]·”;£ÝoXÛKK×I\/Õ¶¦W´v†<®g—ž“ü±í½¨Y9ø‹~@¾ÔÖl*Ý—øÍî>=Oð­cj1V8Ì?W°­ürgÀ²âÇ}ÿºt:ªëôˆØ¿^_’·Íýd}wœÝEÕþsëÞmÙÝ$»›žMïÉ’BÒ !ôÐ;éi‚"*HQ@@A±T°!+,Ø_{­¯Ý×Wç™yÎœ»þþ¸Ÿ{ï·Ìœ9çÌé3ó¢¶ySŒÛù¢¶TãXžy¤ú’ÜW¯Ûÿ®ƒ¨Gû‘×Kí²6'í×z b-’ûÀ=Â…æ_’¯´-ŒïªÃ7Ϻ:ØÖÄÓ~`.Ýü¢þOˆ'>‚X»Ñ…âO¦µËîŸ9¯X_ýÎ'#l¾O©VSÏ¥õ+'!r¿Î[ÄÉaÿTcŸy›Úú*ÆÚ-ä‡òµúÕ9dþÑ΋k»Å#ŠW¸?Λu=jvQåûúï>3aãœp¹ÏövÛ=†Æ9:„ÈE¼‘×ØS×?/™çcj÷NAÌiÃÚg߇„3Ú¢ó%Ljÿc‚•ý…[»¾Þxkš¿?[ÏP‡ÐŽ;1ßØeîDD>Üuu¨óÿÂÜÖÉ´LOTîÍWëù[ò¥7ÃÚ4š×9Oè üÃ~Ÿ‘×Ï$95UÒë6½7Q¯3A¿GuïD}ŸÇ†û>ÎCèáUˆýÇ#öîôyà¹è#ê6zþ)ÄšL~87Éÿ"l¾íˆ=ýE'÷»:3NÓþ°„÷|Äþç”3î×¹ (Þ¨¡c,‘üy¸Æè>ašôL×MFt‰È ¡ÄýV4Ù±ÿÊåÿ½j—~ÿ†Œ³ÖÓˆZÞÿÍð/ñùexi½¡‹\ßúoë»Æ÷ÌGNëM?¤ëÿDÄE<î@q°àØã~S‰+Î…›õÇû%ûIYJ›âÛÝcc­0Ïø7Õ˜\„È•ÏÊ4J2þk(g£¤|”ëÆ;æè€Û¨3 ö:X4SýíÄ_æçJŒk¡{˜ë!¯UŽBÌ[Ùû-×!”]oÐ=âvE†3íÍÿäaʃ2Óù_ÓPb+i¬çh×Qg˜Z¥ zÂ0Ý1ëü ÛÆš•á¨ºOÆþ‰Wܯ„ˆ}ðþ5êËç7a‡²Qå[ÈçÅ Ê·5ºUï‡ç³*^7\'oí@ÄvØæNŒõK— ¶³±®ªWúîÍyLIÖOÞ({_‡°ÿ<¦Õ#؇tmEÛsäÿ{õ?îÃNE¬9düól£ç,=Ž`þ r,·M–»ß“èò¨à GlW!ä–ýO²«q6†Éæ#Þ‹Ø+Äž«‘OÒycÄÉß4f¾wiàõœ¥þÝÚ®Óö¤„6ò¿´÷*¯ß„ˆQœ§gÕ7áy™‰€OG«ûOPNü™ßoV¿ŸCÎEÌBÌ!÷=i;có\ì0Â$ŸŸ¨ÚŒÈ+€ðS&µW"|z·u=Áö®@ض ó;É^Y‚±û³:>*˜–¡è³kÉG{"ÎÞ ±®Q¶Èrå1“8Qy/µñ€büäÿ”ËcßEØ ¿Ÿ¦>ˆsÎч0¦Þ¤öºünò½ÿ&¸­¯T+gãk>‚8CÆhü¬»õ{ƒú˜Šˆ RþD8¥ì¸(Ã:ìñ·Å‚å¨6:ÐF#†¾ÅˆñõAâ Åýèsùš*î2q7"Ö…XSÈï]ˆ½ñˆßƒ6žÇqöG‰¹|“6õÍ5ˆõˆ¸Üƒêçø¹»•÷}W÷NAÄ3Ö ö‘"Ü' rü|±í·×©¸]Õ#˜‰ËÃkýz2ÎÒù—®c7"|¾™(±±ß`Þæψ8µÛ+…?ʪ—"êN<Ï4]Ïn³«ï,gë™)ÛB6"”O­¾qvݨ`±¹ÖúoD<œ¶ÿíj´¦l¸­ŽE¬-l ×>Ÿ<~Åû!ä•ëlÇéÜ6œxLs_ÑäÁ=±Þ‘´;>·]cnü.”sÌ‹OJødw•œÍDù76g[ŒïÒϤ|¿<ãõŽ]=â•£s{Üc-Ég£Ûó¯fÍBäÛÜþ5cË>ÂõÚÜf²cIkòÿEÂ÷‘ˆõž#ˆ=oUŸœgŸGäÞ§ª8NùüsQö\MÝù7DÜÝct6î×_žqº²úbñ }µ¯ ·C#žîþ¯ÎßuÓo§ê™Ÿç÷«ˆ¼~?b¯í)Ö…Øë£QOÐ®í»º¶™«Ì‰ûøZˆšö—Û_Æñ!dzCþû{@íÒ†ù8’íÒ4ÿ:íQî¾ô ”§¢Äì+ls³âª.§"æF·ha×ê¬pî&ÄZpÙÇ)6àm¸þa|ökÂ1óG ür>7¡kÝfòºÇxÎCØœ[·êÞIyLù9€È%ì@©)©¼(ÿ®žßë]©¿Eþ;/݃سÄÚ¤­öbÏQÅÕjŸ±.¿‰¬7«¶ö@Ø·cf[ ô3uýxD)å†Í§Òlºú4Ø:îÆ¡œýVös7¾¬Èíø·îí}M?×è/~]ýË«³½Sº–<ý² GZ¯îùš D+›ÓÍîºïû3b¯Ç[‡`&~1ã$ñæ„ßïùÎ!ÚïBÉy$ìƒØŠcœ$8ÛJ5)Ëÿªè»¦¼MѼËæBç¾ÿ¡¿É¦tÆÙ…¹MÚ–·Ô3ŽWX[´E©·9O®Ï4l<ßé{9¢V„síD=Ã6LÞÖ®Íõd)äypϹ òqÄž“ò8S^°Kçý¥ˆÜLS¸"þÈ×sëÚݧT1ÕFxý›çúÇ£¬½à>•”I~‹Èi;ðý•(¶Gõ“ˆ:µB¾õgvÅ·îZ°$Ú´Pâˆ-“ñó?ˆàõ†àqÇ탣Z×s´oˆÛ ¢ÇñH?BöÛït*ç‘j›8aLo¢&ašÞAÞ£“¹;êêdêÀúv;Õmbökº¨÷ØL§ñ¼NÙ}B†µòTÀšäýâäxáÔã"ä)ó™+Œ1<®Ü®â‘É#=GåQfìáí¹6hTqŸR9žêO„›sóÿ”/z¢^Žã8¡—ä¦à;dËOîCÞdz…°‹ÍVdN©v0J~p"cfK56òÉU(u6õ—"êJ×tz$~4Ý0ìöû³Ûp}hà3Åï½…p܇XS깶óõ¬ç©ž#ÜŸ¬ýäøîL”›€Ržö'7U5[~`T¹‘ mïrLôå<_¾ZôX‰ˆElD©lºî™Ÿñ»è=Š)ò½-ˆ¸µ½¹ˆ ÂÝ‘mô\…#«•ûmÐù ÂoP{Ì™_‹ˆ?Kxš†2ÿºîÖ{oθJ¹(ò³Í™æ`F9“±ú¿ˆÜÕ8Ä~Iç‰Ö´ýÈû#êc¦úÉï,Z‹Èåj¬…¦ƒ{Ýãì¢Ñµ¾Cï½^×=¾!&ï0OÄø#çùëbdÿd®p춪û.ã‹óö©_‚ðÿQGáúŽzÛæg•Ï\Ãf;M.)~˜­¸9qÇØ‚É©êüœ#L¸ÜìPþ©±]cã4¤³!¿–k’~vûÆdÐÔëöãÈ5‘ü,ÄXÿ‘ühöde;"^æ:ë„¿æ6 ãã/D–OÄû£[pb­Šûjƒ‚ƒöêßQæséýóQêZw*/|ÎËî‡íç¼ )–²ä ”¸ü¸Ù¢åx”uCu>W8<±o qþ>¤y<ÎpÚliïc—“ãb^n"‡þkѸ¶ùÐ}1Bgy.b–ƲÍÐküQ}¥pòxŽ¿¥g‰[ÊÄKyƒ_žÛÛas~9ŸA©¡dÝR“ój3"ðJDvC,Ç£ÌÅq¦¿7<“×´¶:Õæ"Wh¸ã9™i¯F› ã>­ö™ _z k "oô™õ&„,6~˜z~î³Iœ+šýÏßÓŸÇ™Ùcó¯Ûl“.ë«çûýû¼%¼x2ŠpI;àmÈ>ˆÏEú9ÿD¬âóK”³ðxU·lÈÅþÊ.D}ûѬg0[gÜ€ò ®;<DSÓ×¢?a«-˜­ýç2åÍLDn–q£0¶¦”~ÉVD ¾e老—ÒU[{fÏÔ®PÛöÎEëÕÞ\ÑÎè°mÍç!ê$¬½áóPäÐd¿]÷)ÿGQìÒ…«Ä/;yoÞŸyÄ×r{•÷ ^>s„jDºtßì&®ÛIç’¸mËqsNìFä=7?ØF+÷=^Ä6OÔûãõ¡móY„AŸ“òožÚ¸‘ù‘p=Dü?ƒÈ±í-ÚÿÆý8¶!ÿÈÃÏGÄæ´aD8>¡Þ¡q‰6 †QÖë¦Ú ÍùùÊ¿w(ÃÇ3>üDí˜Ë•ù(|þ¥¢çÓj?DÍí;Ÿ¯¤ýNák.J’ëœ8–Ú|9šó‹<ÆØæV½¿§Ú=&¿S¡¿½4Ó²Bÿˆ>ŠÉù*yÙÑìÔ¦ëAÆ)¾¤gÜ&!þÌ߮ߙéмÉày^Æ[·ñdó/H¶ZuºÞ¹Åvl‰ˆ¼>ø¦â>9ß¡ C¹M–!Ö’ž%ú‘O8Îë5¸(s¤~´ð庠ð¹Œ7Ò9Êí¹¬á6Zñÿ^¢=ùgî+Ð_ƒØ¥ q¶³Ý›t"F{2Ê9è%Íç^¨ÍíG‘ƒiíGw~?íQ{Ju9׉mÓ¥,9%ãªñíZ”5•|BmoAÞ3ùëå 5êë¹ïm´äµÇD·.ÄZfÎ5›Ãí0~9m“ì¨Roé|B›àóˆuMDÍ%c²Ç¨òÙŸ~๠eîßø·À·×m5?ŽðGzÚ¾]–71U~Ë<‘C"~÷à|°ZÙŸbmM9§lXŸÙõ'5¦§ô}’Ú›Œ«rXOb{ŒuºöÛO„ Ò`V†+Ù²#Æ¿Á§-ÄÕýjƒóö+(vZ™ŸnÛx.‘x«ûKQêAjo¾®×sÝ9öØ5Šð•=fá¶ûv™ÏyFßçBÄž–Ô‹ks»uê¿$ÿ§:¡‹ï²{Ä mŠyòE¬¿3è÷˜©ÖÔîok-WeÚ5?#ü"j>‰›<[Øë[”=oCäv σ(û—•}Íd¿»Î¬~eª4þ r9;“ÿÂqÕÞ# Ù—þŠöÈpûÌs ž# ͳIóv¢Fm4¿×ùvŒÝ~".;9ã0­=n¡¬*µ§ßEY'–öè¹^÷÷oƒÃc¹¤ã—ë˜øÍ9ŹaöGõ–Ü÷æºNîÝìj×Uˆ³ÕÏn–䶖\i þ)ÿnnBÔ•¾ÿuÆeÛ® Vž‹YÙœ·vyÕÊñ«²ÇÇ2”?)JŒúîpD½ÝVµ¹PÏž ¶¦#öyqÙ1¥. r—Æ9C׶¢Ø]õ»çÍ}aØûw"Ö‡:ÏQï®CÔã(œß„’wö<÷)çm2~ÈXÕ½ÙÁv7¨›2L“gNÏ‹¯Ògls9Š}Î ãØÉWô­ë¿Tþa.bm÷€|ZïmîÌ{#óZǽª1ä³û#d­éêÚ1Ñ_YÇéñ·™Ý¿kß³®/¶Ç7ëš×ëfïÌm÷œ¶9’á[ÿË<æ+=Nôž™û¨_.žÙ?µÛðÙ³@ÏŒ ä0Óy\ÄÅ¿•#òã[5Õ Ñxa»x^ò5¢Ã„íbrc"mꥈ·‹<_°as6ÄÝL?O|áö‚½wÀÞ‚ÛÞ¿lb]õRD};mÛèãÙÕ?¬ÄÇ=(qà¢+HóS3]FhÃÓÞ6Þ©Ñfجþ/Ü®£Wر.Ÿ#Ó²gFÞ¢6ÍΫž‹Ø[ W¹Áim¸[‰ˆMòç>ùF9„ußDäàÜV&­Ę9šâ"ÖǤØ%“UΓ‡}&Ê›'r jŠÉP.|GxöØ»ÛËŠwôÓxW~†¶qíõÙ69Ûê\/­ÐF5”ÖsÓ¾;Kðù{sÔ~ ±ïŒtí轈\ò:Û²¬gå·ñl‡án©á¼"¶ó¿ã«±»™¢ý刵Hsý È­òi¬¬½Vg¨/ÆOG8ÿm＆0ÍלksÚÆL¼ˆØˉvÁ€]ï—ŸÖ…’[¬^ ˜ŽDÄÀéëÛ<­˜nªšíË$ç‰[êŒEâ!Â͹ò€ú¤]5;W>…8·@ñð¢K ï¿k0›zîR”ª¤/؆Ç`ŒÆŸã®+Hƒ…¢?s9û"tǵÂç´LÛÊG1víIæåÊ÷_ˆÊÐ' 4Æ[öϸNµ æoš>èþ uµ1Ó«qôýPÎHquãÙ*yÏxùXòÔ±y|éŒÓýŸ ê׃Û:“ÈðWeÛŠŽœ×ôឃ°«Ýö;±^b Ö^¡ñ[ûiÏ¿9Bž6ù^1Ÿ€{<${¸§­®×#(6{Šr¬Œ[¹ÔBä$=väºd†Ær¬ð9áW>©v=îa°tœ˜×L6œF~ózÃéÅ”û-7ñ=ÝÙxkR¾}±OÇ}’ׇëyÂi2‰º3åHnBñ}(cšf“̽±' ùF¶× ¦þøÎé(>ÔȦ¶ñ»mg2;ÍŸÅút"jÑÿ¢væªÍ~Ù¿¤±É¦5¬™\£ø¨Ù+ ±^ŠþÍ{Ûy¬Â}Ø~„^â>Em± âþ9‚ƒ¹Øç£ðn‹þñ³yÇq¥®<§K¼ÄpÒd-ÍWò8µžºÒõ\„þöX²Çg:۾Ϳm<¨[t1e?UÒeΓɈøz‡hÂv©SF2¾Óxɧ¯"rÎ DcÆÏ>¦1\œ}ì³'ú #lEöwÞ="Ó„öeï¥(ù¶ýX÷‰/±ì[?ª¾Kz„öÄ…‚k ¢.Ûmô…™m´mx‡Á^Wþa‘ûЃj³·í}ã¹ÚFÄz!Ùù•o«^Nö^9·euþ®}q•}Î{½ÆO™á±ÈîÜfª!j |iÒsª~Ÿ‰˜»žb“²ž(òk(Ó°ÿ_‚ñáþ”ùÜÁ÷OÌ£(2¶æ1áEWô3*ä÷f^aràqD­û8ù´CÑ.ë‡+³×-]‡°W=æק±õè¼Úóþô}~oÓö~„õϼŒŸToÄ~M–Ô¥÷ÉG[2 ´“ÞƒÐ5œ' e3oïDÌû®\…È-S܆¢ g<Œ²N¡z±xÀhZ¥ít¬ž#oÑf&?_‹È£LÖoÚ™+r{Éî&}\¯|uÏåðí<Étæ5“/E<íFœo`Ïmöݯq22Q—«\±Ý%“[ßÒÿcçÂx ‡øûBÆSº7a÷“wV£Ø5 ˜ÇwÈyzßúî4>“üä> áÞšûê¼T8!Ó§õ™üL’%{ä~êÄ?í-Î!ÚP“+á .1? vXÆA¾Á™×ü<®Çj’G(cÉ÷k3}‡é[DÃù™&iÏs—±†—í‰ëPb{™í3ãtÑï(Ä:únÄ|xEÆg…ñK“UÓ·M—f[öŽXsÔ;?ÕX ïÕêcYn3ÓðbÝЇ9-úbŸE¬Ó¾3×°%xøŒëÈãs_Å.½±Îp2^÷káàb”5ÏÅôùu¾j È#.à µßë¾ù‡>‚´F³2*Ü‘öo§=ËÎɸyx‚h~6âL…Áã±÷ÿ܆0ú.}—îd^gvËÐ6Ò Í+×ùý‚|þ˜®ý/¢Ö‰ï}#÷_QmUá ÊsòâxeâL¦Qý›ö¯ìF©ÍïúŠÞë@œÝ­w:g°oÖj¬Ôý-ˆu8ƒs:=ƒ,‡þaàu‹ŠÕsŽ\†¨ûÌ¿¹ßtŸÉŒÆW¾ò ÆÄçJï?ØmJnž{A¥±oîÍDèy‡û€ü]3º7§£Èá*ùd¾Îjäø@¢ e5yž>Ë÷tó|¡øh%ÂÖ£ŸFÚ^,ß™:l8ÿï9G㧮u™â>“·S´=L÷·"Öâ)Vö6wŸ„vÚã€x9[|A9±]¸éEá½Æ³u~3çÎu6oÜ°çZf›°°ãÉ6>pûŸ¸—,ª^¯þFõýTÛ¸†Pö`J<ç²Óí*¯ïZˆX f<2ÑãIŸP?ž#ü½Úcl ¢Òó|æ9ˆº÷~}̽ïì?Ò5êýÚàé,lcU®ÉêÞŽX÷èótyÆIÚWãÓäõ“üI»Bþe¢ÁêÌÏ—œ’aKq§ue_Õ“É¥*íÚ ÞuÂÑŸëKé}Úð r{‹ÔÞrm1ù˜>Þ~]AÜЗt™z«®ïÈøN¹ŒNáÄõœæmeUüÞÃkfgøMÒóäŸû¢^„c m¸—hö:D¬Ÿ:†<3E¸Z”i–lBâÿízvvþŸjخǾ­ï!Ó¡ýôU½Žâ5~ý{ì Äù:úV.¹ÔßQ§šŸÔÚGÿÉuàSÅ'¿DÄ4þgæ<Ûeã¸Qëîµ;6¦áŸ /^×¥<‹É‘Ö*Äú%×/ƒÂiʺÈDKÂxŒ®55Ê›s•Ïdœ$X=p4Ë .›c3¿•çZß{‘ì®þ#ï³er¡²Cc'O/Õïý3ê³…¯)(5ß).Lº]->ZÖ†‹ÕŒ-ÉxhÒ>¿:ó€2î mtô¹0(>1û çF:ŠØ·Âe»þˆ8[As¾ø¦ïÍÏŒÿ "6{LîrsÆƱå+Vß‹R VYˆÍ’.Ì¿ë¿AØØ'"êí=WuŸîmE‰ëvQ7ÖÈü”ô#}óoæ³ï8ÇzÖçû•»Å;ë(?ŸãÖ ÿç"öÊœ‘ïW¼î“²æ,›l:c ¦/þ¼Þ#¯¸½Éq½5³ú‰ü?ÅŒ8î͕ň} üaŽãg‚“±„ûQâÈÉŽe^‚v´É eßBø³Ì9<ˆØ’q›·ŠŽûfÜUg"æ¦ÏSÂäùĹŸí´Ÿ9××5òçž¿™psnÑæ<‘sšƒˆ­OCY^öa{·×-‘Æ”SW¡Ä {é“NW©-÷ŸÛu‘Íמnµw2Jl¡œ d4­RæaݼMps®¯@Ķ”÷OzÕùÑmÝÈòwH4°ùʺúôÍë›Úh žZ¤þ<¦jt¬Ó{©xÃôæŒOgüS'¤½LˆWy»^r]3^ã ß퉨½!Î(ƒ^‰°3 ¯‹F+õ#ç?çý¹‚©%¾!žv£ÄÙ'fø«.g&gZÔ»yÔQjDª¿E9;å+Œ¾½ÊǤz¦F¦Q²/èCnžùþ{³éÑñ&7×)W™öðöšmŽqž`<;Ó¢ñùü,Ó¯iÍÙÁ|’úY†X?á1€‚‡÷{ó8˜¯Kû®O®¨Ç_‹ˆÉ|8ãÖsl´Gá6åxD½µË‡É‚e;"å9“†Úâ\Y öOÏmõŸ™ŸIõ$.[qÞÓ3šñ²µ¢ë_3ô—k D×óós\‹ÕqŠ|#k»v´î¿ßºØ™S6tߧš%xgi\÷:ÄþH-Ý? ¿|yÆ[²™³¾qVó#ŸÙõuä³Öšªóhfºwpž^¸º¹¦ñ›ˆµÎ®<ìrd¼èâñצðLø•hû¤=‡Æ¹iºp&ãY3”¯Úº¥fqÂ;ù](~`qB̹ub= c¥ôÿ †w.m£3ýቈ&q¶4/9áW²-úoã¯Ð4v|"©f2´÷Ï¿TÿÄ9; ¯˜¤wÊþPƒööuö}­ú;K¸1½¶ôq”¸|‚ï·êoáì.{ÏÚø áæá|›àêW-‚ÇSm5Ên“‹éÌÝŽLïö¸Ä°Éé´7q°±?)eÕ Åã>žÇÒ÷Bì¿O8i{.@ÔLí¨å;ô%=Ï0 1ùmêþ„œsOcnêùë1£Ù(º¼J=öÑ‘ñXÎíg©=³S*ƒêÃí~#eÎ,ĹýˆýW8ŽËôþÝÍ}³®—ý0î—j"¾Šðw½¶ˆ¼z-JŒ¢Æ±/T;´WL¾VöW¿^WI¸ÍÁ¶†3$ü=RœÞýíÿº¥e õÇï ”o›ú mÂØÉöì$µ=O0\UÊâ¥_ýt}e_¿´‡iÿ(Ê~iügçq6¾ƒ>§­½)ÆÓÖ^ÇßE‹ßä>“lñ¼’ѳÓcN”÷ä;ο ÎÀ@Ô8Ÿ°9=v¶¥n½¬?wùMžÙ‹ê,ü¿Y×üºÁÝy“Ú›/xæ‰/VˆË3~Z¬³ñØše„8;á›èÓÍXäk'Ûú]¦^Þ©÷=¦çüèqÜ5[ÇçvüÑŠðîBÄP»£æžó÷÷­þTõž§85û›)s>e¯^€ˆÇ·×94ó³^KQö¢&¾æ"ÎÎD‰¿ÕæîçˆNn›pìÆ·­[/ñKþ¹q>Ôœ¶~OCœ©êþ‹Ï[ú¤§"rÿêŸgV¦èÂFÿs%ByÛ[ ”å”ããu­GõNÛûnÍAÄ=NírÇóhîóô!ì.ê·ç‹:Niÿº\á;·æçÓ³”u/iëg¢NcºÆw1ò¾coÕs”[´ÙÈ“äqÖjnmØçó¹²é‚™m.D±CÓùäËëÕͦfd}+B–«›s¿CïŒè9óë§=˜ñXa¬ð:ûf{Œ»Ñ@øÚ“õÎß”M!ö¶^škvËúï½3üã>£g(;Mf7†ö&e$å­é¨´§ûƒ¢ñëQö,í´ñ¶ø{­p0q6‡}†™w¡ÿxu÷e-ñH/Š/Z{Fô8Cã1Z¾+ãµÿ$DMÍ#Oµ[Ûx†×Hïe¢Oo~¿“¸q]J¸Ìvir~˜Ñ4¡þµI±eΤšé¯ FÎmÏ lYú˦Ã*£™û¬í!¼˜ßéù–xá”:‹F˹£æÆŒq#ê’Æçk•Çïd{j^¦ZJÙµ"dû§<Ú$úœ‰²Ö¬ãV„ç1׶œJ×v$çšË¼ˆýb©ñ˜5Ûº!C×åœw“c߈ð£yWwƒ8Pn³¬cïQ­Ü¾×‘T<®!Ù_}B‘¯Ö Îïóüõ/”WòÚª½2Î}]öí±Q·‰¤ƒÒYF¯}»Gr]!ÏB¯oVo×s¿O‘×]ÏÓ'ù—ðç¼ÖBÄ+Ý.]€’ûžÒÿ“mìq»!b4ÓuÂOQCç1`^#ÏOFì±´_êCø¼”ŤmR—[åÁó2ÍÒž*„•<÷„žoäö«ê½!á˜þ5ëhËQÇ¿R±¾6:KO µ4¦ußmˆõ‚„ÛcŸãͽ²"ë[¯m˜~=ƜĚâ}QlšéßE¬óœ¦çØîÄz¡aÁ¼^ã}ƒèÉgß…°5†ÕÆÞˆºK5óÿbD\Üéç±à9ˆZèEÛÉýnÖ)|±n­‘÷-M÷Þ†ØÇcÊ9Áe¥¢£á¯‡~añx õ×É10ïì¶Û'ÿrŒØ‡æ*Ý߆bw¥zãQ¤ó¦JÝÞGÕÿž¢ù­ˆýüº2.Ò™8쇼HÙO0a“Þ‡"C˜¯Js“í3VrPà‘ë¬&^Š±¹\£Q“xüví{²ÅúÓ|@¬Ó݈°õ®Ußß›™é³ya†›g1%€0°OZâéÕ }{òÑPtŒ¯WwBŸyþT± ½N|YOÍG‰'Ö_‹¨ã{ÏFœ±e½LZWÒ!ëIá`3ÆÖ’pŒ{ ·S<ã¶Ûä¶a_[Ÿns]Œ¨¯£Ý½ ¥–0ÅXKóÖ O:#ÞpÕûcDLØë4ïy†Q™ÇNžUZæ‚ã˜zxJ.ìH³•Vš­ÚËü-yxb}±ËB“?n ª}âõ›3}}òç>ªK÷=õç,ÄÜ0¼4È¿[ßHšºŸz›pC;’üê¼)ø?SßK…Ê7ÚIGäOÚësów%WÓÞ]nwÌÔ³îS¶ÙÅ•ND~•p0Ó…g®·#}Ÿ§2Œiý”û=½ÎäÓÎCøB#öó½ó‚<†ê kÊÖýÍÀmÊÌEYÓ›Æå1:Ž›1Tú”¯65㳇~ð·PlfÚèsA¬»t?£‰È‰v‹¾FôÒ=™f¤á¸¯"ü þž­1¾ÅKû[ÿã ï²Ü^íDÞr!b-?·©O¯x\˜¶sýÈ2¢…’ÿë¦ýD¾§í×ÈNʬCòóÞ.yk b?kò×vµ¹,_?ð-jŸvæt„ïr"ï£xÚøy,5·»OÍÏLú¢žóªÇhPdo‚ÕãéóóX îšÝk}á+u©¿S¶ð”Ú˜ºÏû^”s-’¿º7®TíAòÙHŸ-(g´'þ½ª ƒêg‹®mVÛÇM_+\o{²ÝYè÷D~7O½r…Æ:'·Ûñ›ü]û›±ãT—eXÓ^Ä‹{R‘ÆÄ'eåÏ~ˆ5Ì[uûò_ê{^o²U]nºŒãï¹ïqת/EMÒxx­sbo$£ußaê÷wÂ5ãf[õPô‹ÇÊx«¼Ìº7xç}O<ð!dL[r’xêeyœÝ?ÕZÄéùlà´ÏØüŒËt×Ûäã„{÷3ûQbŒ©ŽÅì†nê¿-öþ׺½™ÛMkþ!tÞdÄžºÝ(gT4˜ Ùžq“ú$nL—ìñÉ6÷É&Jk—h·‘—çügüÚdq³"8N@Äß”á\¨þÃð@ÝçþxÎäyfmÍ]$nœ2?u¾:_oš¨¾Bï¯Ós«ù«Õ™ŸRŸ†Ç&ù„òÅüÉꥈøDÚmÖ±3ûL~Ôºg®‹6s1&g;ÿGãöØÊľÎòÝ:ç+ž3jßÏÓ³O ÛŒ£ˆ˜†ÇLùÍu*õ‚ç‹È[´')¿ÏUnh:bCï_ñ®ROxÌî¤Oµ%V9û3¢«ál%íÛç jÕ×ËgãÜí®)þ*|º?aƒòþ»to~ÆÉ®Ÿ!ø—Ÿ#s¾‹5{ ¾ñöÃ\Ð3âÊö ·Ïèžêȼ†¹çý¹MÚKéÜYÂFÿÛpÓó$Š=™ÖFmG¬Û`ßWÈ.]…›ã~v¬—þ‚hÂ{îsoÈ4¬]oϽP¸$Ž¼&G²´ó±6žš‚¨?úÂ1Ï^¬±lÊ8÷üÿ0õÝ.;¥ºBø}b¯Ÿ[s›—³KQìåd«Ü„âó¶^ƒ¼—¹Û FŸÞ×vç僾½ÉºtVìFõÇùô cYú5oEÄÀL¦õÏ6Wƽ;h›“oïÍãnôæ±7È[n“¿Kã2ºŽL¯Ìn'"ê5|QßîDÄCœv«ëwÎBÑ5•¾Y¯Æ»B}ˆ°5H;Å!R®k "Öb²£BÛœ¼µ\×ìÞ|úÊw¤ùÜ@9±þN„o=C0«¾>Š˜»Í¼Ÿ÷…j2?õ!DMåõM?bNí«1.|§"ây+uÁ®ë­úqzæ7Ûö\PŸâ2ŒÓNÖœîÉû=§çÏÈpv½7?³‰±¼sÔ§ÇB‰W¾·]tóùë¹aÂJž:á»06ügÑx[†=ÙBª…뢮ÿ¨hñÉkÆ×?‰Ð]l÷J„{B†‘¾nŠ³3&ñoá{›Þñx¿=M¼} 9ßé÷^«¶DìvˆlšÓl£zw‡è±3óÇ éøyÄ¿û›®syÍå§|Ú9…·¿Œœ#1_³ú5Ä™&ö©zmÈè¼Ëø†ï.BøNžc_‹b§×_$ÚPÇ,A™OiM×i{ÎÕJå–<ÿÆ6+¤üØ‚±õ!ˆµ:ëþÑžzæä6¼ú<ò¸ÛÈ{!â7{#êJ§¨üz½÷„Îñ~×î/n<þLxÎÓóÔAß_˜mPý;¢†ðZÿˆ8mû;⋶ð¢žsY¾—ò’'énûh|©Î¨±wQ".,ùCŸ§ÊøyUs r³ðÂyBûÂxü˜½¿ëpŽýG{qn£òíÿÅ>LOLx.ÂO&ÿq^¯FìI¾óØoCpì¶þfhžpœ'éåeä¶ Gƒö‚ɵt¦†Ñ¹n8^µ%Ö—ê=(o²^¿v1r h"/BØF…#ò‰ç08Ïû:蛧]‡ÐŸãEymAäMGü±F¡OtxiþíO˜)K§ ÏMgÏ@Ô°s“ÆæùÅ?æ3õêÓQ|àŠb_©/{- <¤Ûy)R­Uq±>¿;“ü¼ÅÇO¼´‘³òxÛ݈\ÖÙ}ÛÈ{·—u¤å:óVæ‡ôslDËÿF¬×ž©÷=¶àñÙ~ùxγî44>¾w/"Î6ÌÇí‘Qd]AZR3övƒo!‚×8nòÒÅ(ëd+"üì¿©VÆëiT+XòÞ²c?ɹ B³m5"Æ5±FÂývÙñåRÓ~-lsJ]óf)gÑRû¿ˆ÷ ŽÎïq]|㩶ö]ÇRWï“DsÅ4R-àq(ò¨ïDõMÜ}0û÷Mâ¶ñû4.‡e|þãDõýìè¿föÆ8Ïòe󷵋®ÿMßô|Åži^€8‹ƒsCq¡Úï?ç,õ¥ÙG©fS±Æ…£ðÕÈ{ç9-:y–2söM¢Á8n_áj ÍFž†ÍoBŠÍ¦}i ¦Õ;Î}ð#u)Ç»1w›Ölpžï¡v'èþÈ{éxm˜×œÈK^¨{ô!â|gæÔ¶ëw?Ê^x 7žÓY›ÛM}·Çz<‡Þ©kŸÊ}VîP|ˆãøJ¾ŸöQêÏøh<‚R’d{Lò„®%O/×8f´õ7±~ÃõÏL]ÓÑ•Ÿ_ð1ñÎĹ¹lßæX:ïÀ`à‘Û:Gãä½7+†·eo”ŠÇC/Ó[ŸŸOçKȯ¿ÒpQ5?©6UsÖuõã"=iƒ‹,¯Iã·i?mÃ‡ë ¾G}aòðf˧ý£ÓÇ…ó"d¬âï)¿2-Û&ÄO0ÿ“±OÃlÂßÛÜzÉ”ýت>ŸÜFb[g ôyï-Âm/Êósë—Øëw!Öeº½Ò'z„°Céi¼“öK Ÿºíåq݉§ Ž4Ÿ°Ç!öVt›pðºqžËÄ~/ïDÄN<áöBfnAÔÚkÆ_ä…o¡ì½Ô2Õ9¿ì³ÁÇHoS{#È2~²øàdå¶Òñ¢ÝEÊm­—¯Ú™×°'9èqŽÑãA®g§"j2=gÑ¡q{\Çãd¿hßÛ}êßôTï=z÷ ÄúVÏõº¿Òb &?™~žù eu“¯Ã§ä~*W´áúêçnDžì‡¹½´Ï®ÛmÔ{³Ä/#ê‡0l=ý¹F®ýL×NÓ³#ˆúc»¹¾ž€8÷Š¿É”µSÚè>5ÿçÚ¨Äïgg˜Óœü½Ñßã¼F« ÌPFr~Œ"×[[¿3¨³(WhÀR^Ž㢭û0òÙ¡³ã¶)§Q£Ì7»>í½ç~ã—õéîV#lj÷wöBÈ•Ïç{5Âú„Ì@¬9Ùð£ 7][õµ²yǜṧã‡óžc$ÿ|!‹'£øBì雉b—=ø;Çuä J>‚5oß¿ì0ý´s "VKü¿CøXªwVä6Ç=ÑFÊ9rL{#rŠ>/í½ÚÒÜOE>KúzÄèc²1­ ü¢=¸e³rV`—®­Q›Kïò˜·Û¬nÓÒŽ9@<ÁxsÝÌMQ§2Î3œÛH¸Ul²ÔW܉ð‡”oJõ'vÿ,Ús³Krxcî§Åç w=®ëqy¶K^ݘiT7;³e|_ù+®Ëû3Œ)÷ÿqŒq¹}2Œ1kW*’EýŒULEè ùä­? g¼6":Óg“ìM¼üAÄ<Däu{Qηino£A›Zó˜+q~Êþ!S¬íú-ºÇç?q‘lzÕ8&Ü»N´çûÇ+ÎõjDmq[\¨ºá«qL›…ïõ(q2¯“-úäwUÏãóù§‘e=ý”Qäø Ÿ¥ÎÁXÿàÍȲŸím×;Ì;(×Ýrûš}¾L}÷Ƙs›Sû«„·]¿e½a‡µÓmò¯c‡®mÏm5mîv¯U»Ò8)/– &'‰[äá§ëø̃ˆs¥]²ÉzæLµÉ¶9¿ÉS3Px3Ùðæ÷¦=Xïð-énúrëDŸ}ûÈz|v¹Úá÷Õ=LC©1/5_Ƴƒ7çvªÄ‘ÍŸóÖ#{βÏõáüé0|ÏüŒ½óVkò*Ásâlê{PÎ *¹1·1šzî™î~V̘s2å¤<>çÄ ¢öÙ}I×û‹…sógÿ ‘KàsÿFÄŒ]/sìGæ«PìðÚg OomH3Ê^ÓÇŸEÙט¹Á™«mÂåþ»½_—Üa-bÝýeÎ “™#ÛkOv¨OÒ¯Q÷öKñÇê<¶êáˆ}èyÿ3ˆõ) Á`ýWM×ÖÈŸòÊþAÄ‹ÓÝ}Zæiß*Ü]™i™æÝ|½7‚ˆó^n?µ4†ùÂ'ûù"θS{>´DÓÏkÜÿ@žw]ˆ}êþˆŸká{£m8Y#^8a_ùXø9*ÃZQž#µû*ûÿ=opÜ°›ÙÇßçzüp ã‚ù£*cÙ ¯ûý7ß4íE0 ±žÉùÍáòxéü“ OíÆ6øýYân\¦I“¾-upXðÑΙ˜¯WRÛfüw˜~o÷wé½QÍßß®>lãöÑ^|÷"öþâœû"ÏA»Q›D=÷”µ{uÒñr„_Gš­½>.ÜÚ»{MLCÔK)þN|÷OÏ´O1JÒäfõáüKX~(|±ú"ïCäJ\~®¬¦[¯Ê÷¹'MõŸ&Vl¼Íû{™MÔgiWm“^üMýä~¤Ãây„!Ä|j´Ýã¼9Lïí!PNß“îαê’âX—èÚ=ç#â3¡îûbODúCœ ‡ ìsk靈v}%?Ã}iºO;>ˆ¨­ryÂ68ç6ªÍ;m+“íã^ƒ¨|'ë}gÒÇ4¯¼7Órx›Ú¨saNsè×—»þ<&·ÛzÊºÏ Û»[8;Eg1¯žÖ”w Öã­BÑÑ<_,ù!+±Ï‰ˆ_Cø[¨Mqžîm×.ÄúÁb¬ËC·3š¹.#Õ nhƒåžüìÈéöú{Ì¥;B{‚ÍCØ)nlÕÿ£û_2þð-ñŽÏ}Žƒùð+²-=Îc´gÙ3`J°×xÆ£äÙ’žÙEg6¿‘ÇÞû´pq(¢VûZá~%ùÓåŠü×Úumxð\™ó•ü‹Ràϱ½íºG|·çùÌû0¶~ñí‹Ûøö|ý¢Å¢÷eˆ¸3¿w xzbý†ëÏvµãêùΙïB–e“Ôÿ}3Çäù¶ÅzoC[Ÿû£ä®Ò~ÓŽÎLo¯IS³Â9´aÒ^8DÏ-ÓXÝnïCÈÚqco Œ»Í×;—«Íã0vM§ù&iO§?Kô}­Æ춰]w°pÅ6"ü¹ë1VvG÷åvÇäþÊi;çËÁÖ‰ØÿÌm—|-ÅéÖe¥²as´Åñÿ¿OGÛ¸Fù‹Iùw×ó…«K5q&ç‡MîônÏDØíî[{|±#⇦« ÆéÝvŸÁë¼îþ³s>¸aÛÊv›yÞ{*÷Wa v¤N“Ú¾' æܬ¶±/Õx¾¡÷Æ#bó:×}6ÂÂ~E‰y×k1æT+`ÏÔ®D¬©bßäKê6òŽÍÑÞ·#òÍ|­çÚp0Á|Ž¼õR=ûáìf„œéhƒÝavn+ô?þœÏÂM1ÏûP܃8Gx2Š¬XzL¦_Úw©žÈ 8ßÒFøå…Æ#ôŽËÕÇgH&LüJ r÷-mãà{ÇÆ ¾Ó÷ç»»uàóýqÄ¥û3ýš‹{!ö®˜šù¢F=0·'¦ê{Aàˆµ:Òº¡tÍäÜ„ÿÒ;”W›Ô¿çW nöõI“Í®ç|Þ»oò%dþ¡ÿ@;á"Äú'ƒ7í9„b ¤=ä& ¿œäµimøV¬=½³aõ jwx6ËÁù:×&F{Ôl×J»_$œ7<ÖsagÚeâ,CòjF¶)Sn‡rV1ÜRóâx04Ìî,ûªÑg¦þÆÄÿÔ äsêzãŸ*ãˆ7K®Ÿ ’¾ÏGØÎcÓq‡‡2ý’¿I}a8c|UÝ»DžC½yÕÏ#t¢õÝAì‰êrB¿»3ýÒÙ"¼6œ¯ÿ«jêú|{T× b§+PöbNt¸¡G[ˆxúãºNzÎчöìW…Ê’õ¢É¥(~{å×Èõ 7!|µˆ\ÉÖŒ¶×EM~äü¥½û!ÑR¶VZzVn7÷²Þ£mÄ|ЦŒ÷ŽCQô@…þÏwDâí†<¦¦ÁZý¹ð0[÷ø ç›ñË<öù#Ý•rEýˆx ý“ÿÖû|w ¢îÀÆ0žqLóG“Ì9ak横k*ÛB™C©¦…ÏücÏI#N\7Nο{_+ü‡¨Ãº ‘o~WÓv§ì ïR¾‘ï03ô =×›ë9«¨†ö’ŒËê,”s‰Ú¼î¹ùlyç#b(k÷Gí>kö/Éû<5Ÿ§1Žn¬qÆ#i/¤E(öBuût’ÛYµVÄt}Õîu¹-Úî“OÅØ|qò¹|/å×{ôyH|u)ÆÚÂî“ç ì¹úœ<÷B½s‰èñ­6\ïƒØkïÙ&[•Ÿ Ä[Ý©gͯMëωkÕéô|å(=Wí~„Û™î'±£Gm<ÎÙY¢ß,Ÿ¶;u[Óý&ÚÐÔsÔ;ç«}>Oþü~®e-ç¯ÜŠàI÷1ízÇÒ\öv6;µj¶Jõ3‚…z…yÒW¢ø¿eß³.„¿:Iuynѵy2ÃÞoýHï<‘Ÿçü)ë§L^Î9,_O{þ¾#¿[ñXx#óüÇr.cW|×ä@ÿKQbXÍ%ˆZsÊ…-ˆó¶Gu«´kNGÄÌ:”÷pžz Ogžø ÜgÁ{;ºëÙeÚ Â³ÁPá¼ý2Ææ’ÇtŒ­_]£ûŒ)xŒýðý·Ú5ÆÄÈ£Ecדç4ú;e½@±wÖ©ŸéêÇàiý9ÃÂ:kƈßKõ+6¦Ú ç=3M<Ÿ˜áÜëÕŽ3óÜ)eü‹‘uˆãe6J½ãUª¹/ÃÙg¸ê`n‡ïìX/»q6¦Û\îWxÑ!ê¾”áLgÈÏ,^×Æö®AøÞÞs{sx~hXí= ç?­û#ˆÚ´!쮯#öÿÙ/㺲'Â>vZð™+5ƒʱϦX¬]÷²6žð<¥ûí-½O¸¾…±u*×!üÜî¶þ=V*[¹úvý_ªû/D¬í¸VíoÉϤµEä#Ó?µû5ç}âú2Ñ„Ï1OpŒbUÇ#ÖS´ÚøÀm’]Ûñcð#¿ÉÓ3µOV'®÷øç×ù¼ñvçºFþ9_ývSÛÞã¼ðXÛã¤Ïdý¿!×æä~xNBŠ ­k{®¥Ž©êóÔåé6ÄÚŸ_€8›Æã1ëp{—ߌ/+ΞbJòg'lÉøHuDÃWŸÆè1+òÐNýQo2>÷3ýõˆzÏ!j¿÷¨MFÄ-úõÌwuvm`¡·}ì²Ô×{å1UÌ×)ûÓ};ÂÆ^/x<ÞÂ~èßyžˆð-R 1.DÞº=öâsÅuœÛ8íñí%ºÆ˜ÎìQzLåÿÚÚînëÛíÚ©ÏFøüÓÚðç¼3ˆðç —Õ—"æ¯ÏEŸßÓ³íØA|¹­à~5ã?D¯7gZ×ÿ„1¶eŠƒ9¿±Õ21”pÎqùèÉmO†~‡˜SÞžûÅî´Ç„vóyÔžmµsÊýG÷W"j‚ä;»ßIÙs^Æò½§¡Ç(ÍO{tês.b]Æ£d¦`xK¬N¶Ã¹I{ô±ËIŽ×çÛ?XciÃÇ\MEÄ æä>kórDm!ïÝ/_ž¹Ã?@–Ϫ]¤¼š~˜à;-·_îÍFiý Q³ã±c3LÝ |þ:„.™ÔÖ·ËS×G/FÌ6;<ñÛñœ¢ámçäï´Nn+bÿ¢m(ù˜Á/!æÊ4„ ñ\Çx!Âû°Æ1,ÙãÁÄ}{ |@ÿlÿž÷¦=“ÛMkßœWÖ"Ÿ;ÌwÝþtäµ]ÈöÇöoŒÝ“cP<1/_k‹à— zVµu%î±T÷æçóŸè“$[ô•ÑNÁùF9ÏOT¾€ðQ‘ç LJ«†–}’ÿF1vŸCÙŠSæ1¦¸óz„_aú²sõÅ6Þƒbß3×]½C±`ÂáõDzyÓ>Ž|–~Ĉú\®>ɯ7 ì/ç—Ï#ÚCÒtVÃìÜ©ïÎÏöÙ\\t$b.0îc|Ò¥XFY›èãëÒµ6y“öÍ6iW°ŸËdgѾ;\ïšLžq?Bϛߓdãä»_#tö úœŠÈmœˆˆ\‡"£+Ìžbq?ÉÄ_ÏE>£¸;¥†¨}Ÿ³”¯^‚¢›Ç-GY§–Δùò:<{·q‰hâù2ÑöfÛ<ÙÇ„iQ¾—ö¹ö8˜çæØçiˆx¾Ç—ÜöÔüM¿ßˆl ».‡Ø§ Å·¨pŽ{†·çv\C<âqÕk6ˆáhÎíöó =Úø>B_ÿežÔhSŸŒàco{Â_YŠ˜S½¢Y—xÀë=~–ŸIòóåùÙÉÔóò³•ëUûǸ–øyÃëÄ+]y›1{•î‰¨=”ËÏ‚ùÝÚ§þùöüî´­úOøö&›mÙ>S¿Ùßss› ² »HkÃ{:÷Úô\åŸH{z46çg*ÒóæäçÈßµ#â<¸Ǽ9æFøNP®¯®Ãص€´OÍçL6¸ñ|Ú'M6ç·õ¬Ñ=íÍÔ‹ð±w ìVÙ·rÿSNÑÞ”w#óìÙ‚m‘`eœïeúmøl®@ø¤éfáŒ2ê‹™‡&~WcðÜû>Q»1[ô6¢²xÊõŸÛc}Â#mÖ¿¢Ä]Óx™‡y#ÆÄ™ŸërÈì–~ÒøÃù^šëœ7‡!|¯!õaôž@œÑ&£ßv…®“8¿Œ{™ãÙb&ÌÍÊ{TîÍi“öëŒzk»ÇpX¹Tcü RP'å“͹$«' ÆKù7ÆOF‘ýżY÷V} bÑÌüôÚkÿ‡U[Ë6€ðìnÃ)ïQf(®QÎýrO²ŠóŸ!o.œ´=8€²Ž²qÂBØuWŠÎÔ_î8}ãJ½ssî/ÕþˆÐÛ— rwCß‘×Ì÷?)ã¬Ô n ±_Êêx³QJœýEHz¢ãHát»î“ÏÈç³Dƒ÷ˆ^Ä ç:çð1;}¢ÆÇõ¨×ßÍBì½ |ˆÇuÊY¤ŽÿQ]Ÿžó,[ ÿÎx2=sÕ¿ìQÒÔdtZCK™;a 3NLý3‚9è>‘û ­·w]D=ïr JME²“Lžím}UÜþ´gÖþÖº¾%¾Õµð¾^ý½Kôòø'ÉDâ–|*]™Îwü¬Î¹ ªÛí1§fÛòœÍ•´ŠûŒ;‘v;õ¥z·â¹*¯YheÜ'[‘±5ò e}“<ß{äÔ¶ ¿s6mQßò‡6¼É÷n™ÛÞ÷ ¹î‰÷flɼ2õ«™võËQÖ$lHx“?Ÿà[’ûª$¸·#öÕ3”1Sy±g•ë>"ÿS°n¡‚Ø÷œc8±w‘é•Õ}›½#Óbœü椳§˜ŸiäÂåÿkr†¯ù„}GyyB{N»C4b^ÊýyÇ­ìë$?‡ÔöccQÏÍï¿g%\öëe;}€õÂ×Á9¿ ¿æ»×…È'9ŽQìäÚ«s;-¯M ®^/Hƒ›yu~¤~8/Ð ϳ»Ý"{2¡¹¥¾1Õx³ Ê?Ó›­ßKx\€¶&ytOñÆvD}—á¾õßí—‹>—ã~Š¼¬n«gĭßúZ=¿Cv™²Lcâ=Ïx›„÷a„|i÷µÎ~‡ˆ!´Ä‹„›úð*ļ܆ˆ‹ÌEÈ©E¢¡ÁXý"Ƭ…¨xLÝyꤶöD¶7cuÜlĺC—óf“bz~/›³kÌ×Ø~²ž‰°ã?‰¨ùëU]²òˆPλö'ÑÔpWŸ‡ÈwzìÂã Mí©äu&mßËõì—2åUAǴǵӉ2‹ëYÇ£ûÞÏmkëMÈóay<ÛüJ¡ñžLK®õNû½XŸo‡¼s1’™ê`:âz‘Anãôhl›dk˜À³ÈJÝî|Ä>ü}Æl¼Y© ׆Ïã>€l£ÎטoV»­=ÚØ#ˆ=×Uã„{þž›ÛNò‚óô^Áp!JN§Ãìߦç"œöÓ™‰X‹ccž%Û¤u©úœŸ©z ÿ˜ {Z;»Q¯äqôµ‚÷ŒÍgÑ.¥l\$˜©—Ïný9ñ~ÚÞa¥®¦»QÿÂÜ6í©ÂãÏ‘dÙø¿‹òÿ9”›ŸCìéLºžûL6µ«öÏ|oÄqlï7(k'ex)ïëäýË4¾W!Ö·œ™kLjÿü†ÿýˆ¸õ"~nø¾~YŽ[°&6ùpsújŠú¤<Ü©kÂÿ¸¹(¶~:“{aÆUý9ˆµÞŠSw}!ãµÅþGÈ7·oFÔ·X›ÕÿAœ—è}:=ìwíXÙTû jƒïÓóŒO¼.­ò ”˜zÅc ÓÅ  êÙfçìÿEê‡ïQ…ˆ%xÌžϯ{œhŽ~&÷Í|"mút.¯Ïácq5ÅÆ’íð¸|NemÉû`6.R›"jÚb¼ã‡>ë‡Ãu®Ë©E(ëò?!\l Þ˜ƒ“óó­>ý_‰R§Ñ4>cµðB>:á?úqýÄñþQ—ï~¡Ó²—s|)ÆêŸ_q1ú—n/¯È5Ri?M—çËBµc2çºûQÎo.qž!å¦"lóƒ—ùø­y×#KñeéâŠëê©â ö¹*×Ö,ОàÜxRøÞ€¨y¡ü¡oë>™ÁW=Å«^¯öÌžçþiüæ˧˜eqÿ/„LóØû÷{T:>Øßs9]Žk ‡j=™V7¸'ýAÏÍDħnËptœ™éžÎ²§ö ƒû5Ó2,¬¥y<ßOc îB¬õdŸ/Sv¯Jyx°Ú¡îz(_OûÆ9Þ¿.ÖûïÊ×Ó~aüO»Œò—ók³=úk—¶í„ Y’áOŸgk|sxbÞ4ë ˆ«§‘×nzF2ÝJm…é´=h£^$°}ê$ÚÓ'£ÔÃÕ<÷J]OŠq/òóŸÍt"Œgµ÷mpÕ?ÕF=oC±sážË W¿Í4nÒÖž ¸/>&¡äà«ÿ‹<¿·fIç‚ÖCPâc³¿dÍ“w—"t­ç·Zâ‚‘îHë^íÚÀïó¯i¯m¹Úwû¿3¯GKñ-—á‚q¼ú[.MDÔ]ÒÞ%q^výóiéG(ó²Ë0÷+8‡¾q•ò Fƒñ牶ÆO™ÕÑŒ×Î÷e<¿øψ8Íwqvÿf0#gjÏÕNÓXèÓu#ò0vo<˹µMc¤,{—Ú™‘qSq>)¼üÅv¸ÎãœÖֳŇÈ÷³à=ò-õíGÚÉV”qœÇ³õ{]êû?óÄm¿¿‰1|ïPÛý…sLôìœT«;Øl›ê—öªû©&gª_Íkψó¤w¶ ×¥PÐ'§.¡ž\%¼þóyø¥¢)¯íF¬Oœˆˆ¹ñ›¼K@¿ð@ÕQoÑýµ'-k«ù'ĺ»s{±FYWè±JöÍùA~cŽÌdiþR?²L™ 9)Ù[ÿh†?­?µ¶«|Ž¹ñSPl†´'Îɪ)’ÿVóøe§ðÍØó=ÈkÊ9žŸ‰W˳ôMùóÚLWž E9•tµõ9ù9({ vܛǖöEP^ŒkÊZgŸ“^Ë <.6˜ÇïNaNÐ}Ãi(ç#Uß'ŽÈxM~ ñ@LñêêËÚøÉm®NDžöñÄWó3]‹Ûøç„í¢œx'cŸ_BØ~l{_D¬Âà«þQ3Å{#‚‘ø&_yÎÊåšçó˜‹ø\Ž‰µLÿ6Mﶾ–Û:Õ³Þb®Ì—Pyâ”kgÓ™r†Ç®ã‘}ÑÂë¾YË8_°r|‡"j‰•š8‚RX}1Jþ¯æ> snÍEØÏëÔΗµg}™Kg j©WÄsoÌ‘|G°w7m±¯µªsyJ»Ú®§üü&„;!Ó®âsÏðY5™Ë} {IϵºN?‘s|J½³ã¥ËdBåJåÔ©ÿj.Î=™ºÝ÷9Ñ£þßo|b²yƒñÅ¿¢µç Ö/ºÔ×ÆgŠ¿×Æ w#ˆš…EÈ÷û1ç=ÎqÚ ß@앲¼ çs4Þ%ävyïN]ÿ ¢îrÆú®÷Ûå®dZËæt¶€É½Æ ˆX†õwÔ«Qò̪6 wý†ïõ¿×6yn”¿•®ylk9Ê>Ó5ÓScök1øê滤µ\ç´áDz”çN¹]V?CðlAÔç ‰fGfÞHë’ßfϲíûg¿Øx²v"×·^<@8ŸÄØâ‹òqbÏI^'_Ü(¸zÕ/ñIÙ͹kz¡cPã½\mªöfä±píEÊé³?úmë´G9í8—ngò=Îãýñ¤‡'õÿ>ºg¸KëÑú~?e sŒÑ½±W¹ÇAŸFì­w˜ðùŠ|¿ó&Á÷¸pw†ú_ 19­=Þz¨žgߢœ£–lŸ‹û’½!߈·QD çÂø>å.ùñzÅÆÚí}·79÷Ï~®vS.v ²M`8é<Yî߈¨-&­öEÔ=\¤ç«I9(·ãùÌÿÀçI ÁÇ]¹f ìùµ™ïM¦sMR…ö©ûhž£‘}:ÆWè/BÄPDÓ:ã+PjÇK¾ƒ2éZÑó¬œ ·¢Ì§é÷,½óCµK< %Þ‘ò½Äë.Áu£è6,:n S,ðËŽ|­ñA„ýÓ8ûÓeµëzq"Æú…ü¿cò¾…§†µ´E.EìçC]Mþ[,Øœi[ûRÍ}Ú—³[ý?¥v߆àg[“í06è¾á&í‘ÝqšÎÿ¡½@]ÿ{d™+žLí¾%Û„\Ë”êÛÎCœ`øI2„þ!m]ãÑî£Ä;·ö»è½áïv·õA‰‡ bŒcÖþŸ°Mø B—¸né8qLsõˆž{4¸úÿ¥w× '„iªb%î·]Š²?Gõ:„¿2Cc›…ð™=ß¹¸v·!ÎÝ¡íNú3(6N²GÕ.åÂþˆ½8ŽFìgµ¹ ×®œ×g#j0ÈŒ?¬ üõŠ"ÏÜ[¬ßï Î:ÉäÅ5z¯%ß]¹;·ý£ý8Æ9W |k§;¿¿¨gr;šðLn9ÚgÿcmÖÔþ€ü)ù¹_@œ©Àøð)¢õ»û8n×7ý‹­ˆýñÜ÷š#¼¾L¾iw¢¶ÙãT|þÄœ™‡XËN|úl—ÍΫsPj(f1.~Wn›5Ñ3Þ½6çêÆû­Š-ϼ׊"ê–šˆµJ”‘žü¸ðé~‹óiþ¿ˆ†b£ùÌUŽcFût<ƒÈÕ½1œ“s€ƒ|î=m8û*"·(=Ów¥Ú0L»%.ų‚ÛÏá¤ÌÙÆù<5¿;ó4„>ó˜„ýž@}G¾øbü¢†ÍæÉ@‘_$^Î@ì¯9Ag™9/89þ#´žkBÞ=µçµ\ã4ÚBËÕ窶ñ+þQx¢¦ø>Å*ÍïZr…žõü¼Ñªõ]ÑbCŒ§þI”½ÑSŽˆ2Ÿ9³•yæ”×©rV'céìJÆôŒœóœ?¦‹Ö i”7»k9 G?»m ÄuøuºFüÑ¡L£/<%&ÖyWÖ9ý„}‘pH[ˆöêÌÜ^ÍìÃé”8|ò—åŸ&X7j ¿Ëj÷­ÉÇämêÚ=Ô6û`ýbO¦3Ÿ_{¯ ï-_a¢Þ•pº?=I63ùäF„¬`{뙩yü•ˆ<½?G¿™2㛢ÿtÄ Õ=Œ’/2~-kËlÜÞ«3@'¢øÕÓÎFä V ^ênãÓªñDõ“ÊÍüyï*ÎÇ~GððŒÝ×ÐýgÏIqÜÌo~÷µ8¶íˆ\G‡`™¦ÏňÂüaäú Ž]6õEßK•éÏÏUnAøî“Qê4Ë^8‚ëÖ<žôž}÷s<®7ý¾õß½Q¿ÎqíF–âˬÏ-û¢uqÐ.íû áÉx¨¹[÷®C©!¨¿Mt+¸Íêgþt!b]0qA±áÄ۬\ˆÐvoØðÞðÜ׆¸ê¶ÇÿeÄ:i·Ñ©'Ý~ëQŸÇ#ô7¯½8?›j çÊDÛûu~pŸ’ðÎWŸ{"bl.Ïæäß)'HÝq0JÜ-ÁógÙYgßœku‹0fOð~§+sÇê]Ÿ¦¼¡ÓfŠ·#ö`b{³þàÝ⇋¦©ÿ!Œ‰s¥ß¤ùF„.!è¬F¬sèÉ´.û!züÕó9“4–ÉmøtŸy^Û÷”Œ·²ÿ¥§[ð˜šÎ`´ÃÇÿãó¸éÞú6ýfÒ‹©öî"…Ïn×{Û²¼éxbPWѶ3ûŒgË•Xé@ÛÖìÇÁ wÚŸïð9³É+¤×‡3ž“­Fݹá¿MU <ì±öaþR/ã€>;uÝð\ç³÷ ߦÎeyl‘ßnÏÿ{ì¿áûí/XTCÓ ¥,§NÞ[‚ˆ5š.¬y“í\š¿+C¬ÉãõM‚ÓônËó¸MDýßôÜ~:ýuçI/Ú˜ûÞ¨öGÕ¿ñÊžæÓtýQ+ÌvþQó³$¹r0¢f•ãŸ‹±ó÷8Ñyn†/ây•(ó¾oB¦uÒaë4ÆÅy|û-ÕsǘŠvÝ¥üUÊÉ´ûm¤Ç„}^žç‰FĽÙ*5ÎCÊU×AÄ×Þ˽ºöWµqBf‘.ßBÄ¿ë:Á]Û‰±µwÒoGìj£éœ>Îëiò—ÉÓ?V;¦;{¾©¾iƒ>œÛ¨ÐÆüiÆYýKjËã“_ÆX›ÄãálÃæzÅæKó‹¢£ùFk.CÄ3ܯ[’ñÜq”î­EèRÙ [óúMž5ž­çs?Œ5ÖÝÎgß[5ü”y òÿ´¾Ïeý[ÒÁøáûÛýW£ºc½W#öÓž'8æå¼m‚Áóûê¾Ûb ç@{ÞÆÓzw,—é5y\Õ)zÇÞåë5ôyVéy—2¾SN’ù÷MÙΨže¯Ðïá gÅõpo¦K7}ãóÖ3Žzš«ö9·$§jGœ}Ø)œ¾R¿ùî"Äž:¼¶K9‚¦ž½E¦$\7{|Ããü›éžÖ_õ}uúpÌË‘§Ì¶i~Oø|"·ÓèÌãaFªKQŒªf6eõM½ïñÉ…jû<]#{?Kca,e/Áx.bî9]÷D‰§±^m¾8ðÓ"™µÌx½úƒ [q;)Ó§jü=“´œšûÝŒØi‘s´{?Ì|P‘ë+|s{tf_!ñžÛœ.¿ÇgxS­{bßÙ_ý' †Ã4†}çÇ`r½E™dú­ò¾L¶ê¿õœçlÙ”[M?5]vÍDÄU©#Íë|¡ŸÌŸ¬šüO{GôåXÁ¸Ÿäö–Ó×Üâ_y$bO÷=®qR^““r¦SQìiÎÙêJD]Ó…WÚ5ûk¯µ Ïsƒ3ôÎxõuxÏ_¼–€cž‡G´!=ÏBý1%¿—èÓ%x— üŠ=õ}ÿ·ë=¯¥è¿à¶ï0Bæ¯FصnË;)÷ö ž]†ˆáÌPs@°ý®mÜK3-«fWÔÜv댷k¬#¨ì/ùíîï!æ¹lCž‹RÁؽ¨ßÈã d^(çaõ_w l­s±f>¿W¦Uõ:dþ]$Z3ο!{ ¿iÐO_²ñyB¯fæÕp‚ÍiÁg¯EÞsÕŸå‡ñ§cþó—ïx ¶ýcïÔ÷Q —Ë…ývô½7„¨3 ÜÔ ·é9Ɍƕˆ<ØÙÂÇ (syÄÞ¯žƒð3fj|â“R›Îþvä6S]6cLÒ™ý÷©ÿÖs¼®øis "æ¿ ac ©¦ø(ýw›0NÑoÆêî@Ä |œ¯²wŸ (¿éO‘×îDÄKí3H{e%bÏwúw?G蔢æìËù¹…¬¢-Ñ»á»Ûq!éâ´ŠÓ祈ý?+5>k0n¹ Ûäí)òÐ.ÁsS†ïºéIž”î¿ ‘ofZ÷Úø{¢§xf)û^î¼ÏþNCð¨ç?N :—6Ç(7È““õ5…çɈ5SÖæž –~„ Q>¡ÈV·\&{þmn¾_¡¬{ 2? #d`Ÿü‹Éú?Q4ZŠˆeøœôøÎD «KufîG*F]#þ§+¶å0öç6Sl{9Ššò‘ ×æ„È£ûåw“]G;fÇQŸ)ž÷{ù\Ö®Þ§‘Þ#ˆZöý:½O>xY—†Ñ o•yÚ™’}y,â jÒ’zg-¢>mqžåÓ:][Œ²×MZsÿ3ÄŽŽL“Ž .ÏψîG#üý%ë€Þc̉zx«xÃíMwë´|måÒó1n£åô!ø’6u•rµÛiêŸþè‘Â'ù‘6œÍé9¿Fìgçy±]m“‡_‘áµQ{ÒÈ97¥8“¦&Ã&Î[kPòi­_¥°É;5^ÂE¾›qÎXUyz‡p¯íÔ‡2^¨û(zó>OÝëÕÇ9ˆâÓ¶>ý$»GslØ`ë@Ô¦o#l ¯!îDì´±6jÖ?†\ãÊùJû¼ua>psk†=Ùv>}þ]«oÁìïw.EÔG ÖOx\’t£Ÿ÷:õgú¸õa„~ñ˜©ë þ¿Q—Mß|³èá±Ä}tÍóh䧷g¾YG½½ZðÛç †ßÚÐnÖ»Ô§W!ói¸¢inÆkʶT‹á~ÒD,ôƒùZímˆµ=|替ÿ‰Óóû §'`ì~ü’±õŠ¡’þÐ0v͹ˆ8öÁéqŽDýÓ¡–ÊóõOÝÿ²~“'ê{ÏL²Ž} Bÿw Ô<¤þ× lÒÅùwßQˆ:RÎçëTØñHìί]ˆùÙ©ß&sÓÞíãs^>áçYûŠýOR=£t3ýÃO+÷3¦fÛx¢ƒ9  ËzgŠŸ–jcÏFÉE1_µ%6Y÷|Çd~ÏN°LÒõר¦®=÷|kÆûá°ƒ¾í»›PöóIûÄñÙEêç”z³´wÊ*µ}µèÀ{´7n—¾:¡»ûôŒÉ£ªé¹®o öܣϲcsõm1öÊ û_K¼r=b]õ:åø‰ˆ=úQr]«¶ óÙ[PrÇ—>ꪅìFœÍ~{¢ï»øi³éž¦ßWî¸ò ò9–ô«æ·wWнؒ#m<ôŒE­CèIi¹_ëðpü&;šŒÙ®FÔ;w Ö— #|ådxEõ·¹¿”›ä;ÓqLµ±×ÛÔŽé›)ÿÊׯ7ùðÒËó`¢l ÷A†—3ï]—h]§Ý¯ÑŸ¢1²-Ú f8+? ïD©ï;QÏï@ìõà1jÇ×_t#jí/IuµäcÆ É§ä×zŽ<ÍXéé[Ëslweî3åMàï½R¸å\ÜÐCôóûu»¯ùKÑu‹®? ¡¿ˆ½|÷mÃãü¶1VÎçß äÑÄÜ_ãº\Sl8_»m'?'%÷†LÏŽSùVöÁ9÷‰<¶îûu^ï$ý|^“&¯@©eñgí\é{w¡ÙbÕ#ÎíS­%cô– g{æ<­Ë¡*ýú}Úú÷cÇ#b`‹3 ’Ÿ¸ 1o{ºÄyz9"wGøÏËm¤š"Úõ²ÝÓ¼UH­ácQ®^Ó3\•O#ø|Â×t?Úm¾ÿÅ;3,Ì'x×(¢nø;ˆ¼®·å²¶cù’÷¿Èµ‘¿D¶Ë~ ö‰ó)(>I9óG6qe—pñ+Å h—1Ʋ/ÊÜۙò(B±Ý9znHx£üÚ ÚxžÂ딯DÈa¶»_æ…#Û§-ëþï ò ‡´õE¸/EÈ6ÒåÆ w² w¼ž¤#ãuÒß2~RLƾ'PWl]žÕ†c‡‹sn§úAÔËy,Èå ǧœôY‘Ÿen!¡¾\ï«žÂë ¸·WÕóFv/ùÀöÌ®ìñqæ¹ÖŸü EÈù&Ù™ü¨·¢ÔŸqLÂéñ¹ïšÉÙú÷QöºLð:*6”ö ø"Žj6üÄ«tÏd×(ûý³`¢¬XRG“Îñ¡»RºÂoç³Û?r<.½Cš›|ÝËó§ô ïDè6Ãý=ëò7ÏXIã÷º´ɇ]öýZÄYÁò½SŒCùÇ´æ†Ï~±&|V®»Kµ$â)Æ”SÜTÁmüߺøõÝÄ}ñþŒƒªÙL)¾DÚŽêç•Ùã£Ó:érñÓìLïTw½ÆžG½%~›Öêš-Ö{—i›öðwäo¤3Xí½¹g"Û´GgZ”ýj×VDŒÍ`šÌ¼û^²á'ÇCˆÚA×ùþñxƒËÀ©9ÄùèuEýÊeÙ3Õ‹‘eçËa׉Óÿ£Æ•Ž>]W¶Ç¾ w­ûßÍ<>æÏòÚÅYØԽߢœáY»¥f4­§vû¨_Ï¢}7òïZÕ8uµ=÷ešöEû"žã8óx¼ùé•Ù;t°99ûÀ¼¯¢×ç2ŽÛ¼!Þï ½³aÏì…X¯ÓΗœ#O(¾ºa'®ÉßÍ¥A÷²ç é=e˜Ö|D^j@ßÔ£&çÒ9SK³,Ϲý<µÃy¶enT¿©ë/EÉY¤3°oÀ]S§ì¤/Hûêè<¦t¶µÓp0ã<ù¢„cŽ`õšnÄ|o ö–SŒ õóEÁEø^™ÇS™¿÷DÙ?+½ÇúŠwåþ+?G±Ñª' &¯}i j3ÍfY²ÿe{7"b÷|Öæoå*DŒ×¼>ÆynJGª;—ÿP5yñAúó[çŒ÷ª¯"ê[ÛŸµOßij›¶Ì,”ýnSûC¢§á¢Aš2ÜåϾú¯¾øûi=ïòb0÷5~º`&ìFÉóøsÕ^Dþcq¿u²®?‰ð;ø}½ð|'býÒâ\^§ó:Ã>UÚÖäÕ~dÝâ¹1Ç‘ÛÇ.3MŸ¦=åÏ»v¹ì4Ʊj»ÏƒíÕúOÂ{n~¿¹N¸¦Ÿqz†/ŧä>Òž òë˜ùfr¡E[ÄdBë›Ùë”ø½8Ó"­½0š»Q+B¾}γ¥Ò>f½&æaº³wž½|Ï|™qO /Œ,¯Tß”kó½&uïr½7¨1,Aìu«Ú~­Ú#m@Ô‡šU¿W>ñk²a™ûî»LÀXûk‰¾9®}”ï¤íuR¾®I™îvüç9åç´µg4ëúlæ…ªù# øIMÖOÏý¤}ÏÊ×S¬ÛÆݘ‘éW¡ÎóXÕ$DžUü[û?õ= Å}Jÿ7cìþ†.ße—}Dû5^)bm”×¢ù{çýG[ÄíÌ|¯rˆ®íƒ±ë8ØÎ͈¸ñjr«þÂ×i!|2oÛå‘Ïé…>âÜsã ü/FÞË]ï/y ±^ÚÛAÄ\M>Þüˆu„®ˆ²Þ%ÕALEÔù<¬ñü6?›lLÏMD9¿´×m§©ˆZ^£å Œ‘-Ó8ÝN`Ûï×8Ÿ@ÞÛ†q Ú%f/u|9ç#nå|˜­ö8§W ž]Ûf‘+Ø/_O{'úaÞÊæo¯Éá*ßu|-çeºLç¤õÕÌ™‘W(Ã7FÅnKÝ—â imOÛ8H‹K2ŽRœŒ:xw~¶z˜àT®mà\Á4¨Ü idójÜë÷2pÿÐh;ò&DLx3"‡èñŸç Ƨ{\yLÞí%ÊgúÊûæ÷û>…rN]•¶5cãFÛÚ{븮V¿×j—ö,qF›×ü’)Ó6!e4eášgq/(?­ùqµI8nNó;½ô?÷Ö»œ×ßÊϲFŽ±è4n»_ñz k¿ï,õ;^¼sBŸôª£]:q@9ÿµûúÿa›ÿ]>fm'ÊÒ3Õá^+X‰ÿo lš™ˆý¼øÜ(âL ât1BÏžŒ²Ö§þnñ‰Ç¹ù¡ÞFèÔ£ò¸:M&6ž#|IÏ'n]n»âöçFD\ž¸PÍ[±¯=&ÕŒθOu„lçñÜ~Õæ`Ët8kà·g·GR~QGèéâ!ë'í…ß/šOS ï_ãJ1$·õ8ŸéÓLFÔJwfüTv lòÖG …×"ô”=ÛùÂΧ®8K¿¿;< œöðÿž=L×NXS €ñ®Ù[]9Ąߧ‘×Î~;èËÓƼËhwHŽ¿t=bÃðŒÓiñ;Ñšô£}ú.ánC}›zžãýo$Rÿžn¼ÕÁ8È¢~q J]w©¹rûný6:L¸3ëÝîÏ"r—ìïɨh‘œ¨y¼´ñß,\×8wÏítŒ×¸(kÈŸÃسÌ5ÿÿ(¼mCØJÄõ$áû ÜW²-^‚¨¯zLã5ÚT~íöýyoHÒðX”óWR¼¬?ã¤"û´Ìã „SÚÉw ì·oèù~sÛlŽ¾ïAäþ98ߟMröÚ!ˆû8ľQ§ Ä»*òÏR½ˆ×kxÜÝÚ[M:ÎD‘ýã¯×ï#|o{§óˆ}F¶ÃjÁçqóM(ûmxý=÷²Ü"Ú<Ç5Îôï%‹PæGÚ»|šè¢˜W‚‘r¯½öèÍu8Â/ò1yM_O°½S1¹®¶ûÄç× xñzâÌ?§ÍTÄz/—ÛÄÇùzf®®õˆV?i£?“E_³wÒÙcž# _lDÄX»öÛÁú–/œ¾FÉÕyyò¹ÙÎ[ì·Í‹šÛ×GµyPq™L|Ì@Ä÷ÛmJ—I-}ð³=®C}¡ž9cjK>;ãowÐ8áGqÚÄ«Ò-Õ¥¢éãyÈóÔÎm“¡ ›Ž‰†¯›9ö•6¼X¿Ü7©êýÛ™@=IYAýòcÁ´J ³òKÑåôìÏ×8.Î;Ú/˸L¾åHÛø_—߯¼#Ó¨âu»î›{<‚²lEã2Æ3Öj¼Ô%´áÜéä1›¹ºþ6„ýÏwi{NmãÊÆ.=Cy@óažõXae»¨­òzÂ4çQ›Ç4ÞÞ—þÐýˆµCîï“i–üݦÚ7 nðLn=&Û%ZúÜqü^Ó^Ì»?u”ÞÙÞ†ã§sŸãFÕ·ûQnoì…XS1 š®F¬!Xˆ¨ßrÜ/ç 왹Íä» QÞ%í#ߘcjÛh_SžtœÙL£f¯×H‡#l~¼N„Ÿù;¾ˆùž'œ°åSžöOå‡4vŽGó}íÔ)×JÅ3ÝŽœ$ÌGÈ<—„iš¾Ý†}Â{!‡<ïàüéµWl‡²Âí÷éÜVQûÕµ¦–¿Eñ7’ý7¨qÎÊmt»y¼ú'-îFÄŠÙöbÁI¿Áí³ ˆý%T_®{<Äç"i³@kAˆ§µúžƒ1ë«J½™ñ’“Ô>ûÜ¡¶•çk:Ÿ¶ç¥-@]vx~¶ºAÏÓ¿¤Ïl²¤õ Ê9ÁÝGì‹ï1YÅò¸±ÖÌuÞd=7¬>̧iÐßf ïF=®ày·hDÿïÅjœŸÛ?žÛ³ç†®Däp9%OëMÁ1 ¥Æ…9OÆ xÎWZïÍg— Ö>» F™>St# iR¾Òv½ ‘cÒ{|÷dñËó06vÊÏ7vÎ>ˆ½?¨þÔ7s°´(#æ!ìù“ò÷Š· ×W"òý½yœóçSz˜c½]}ï©ïDoo{–`yan+ÅÛF ?®“MN,îËø­j#b,³E#ÂBþ¤ý³ ‘£^¢ÿ[s;Ó/Ñ=òðÿ"Ö 1N~¾èG|z­yûõç2ÖüêÓU>3U÷iÓÞ§w¦!äsò†«ÊNåã´ÛuÖg×-ˆ³aÙk(û…K{¶¹  cŸ{cì\˜8»½±ÏŒÍ£n›C_EÑE=”†ç^óÏ;h¯\ ZÚ8ÒXf lðç nò‰ÙÏõç"ò;g#dS}òYÚÉ݈½‰ùŒõÛ½ £ã½·#ñdõþ«*²Õm|Í“+§ýâsj)77‚Èõ<œq5±°†uvî¿âùk>»ÅïH~™b=e?À½6…ÓÛãÔíqD] eÙˆXÑ<ÑÕiãþ~+Ó!ÉÛM“ßù‡88HcÅؘ­û._…ˆŠW“n¥½E9l~^ã d9böSÃå Çq‚úc/?œ©ö§¢ÄñÇì™â>ãíEÎ}ÖGD“ ôÜw‘ý¢³K»ß´±žÄìÔ.Ú«1f>¦>%zÐ÷¿§ ïò3ê´瘤ñ_/î)<0Îz"¾ò^áôpoŒÑCÕÿCø|ô¥7eÚ1WãÜØ)<|=ÓwØäåðÚã…ｑë5x*|ŽúÇsm·´ñà Mü¼PðØï}£:3zDcfœä`­3ú»põi$[¡Âš/Êh“9ÓæuÆÛ÷ÍkóR?¦w—ÙÜêªfúÑ»-µwbþ§ Å/”s&ƒ'~Gï}Z84}ÕùvDþ‚ߣÖÇü|áòœò°Ó.5œ¥³úE_Òs[,´w¨ß™ca}Dðy ÄæÜ„gYwöþÀK¬9k³›0¬Eä\;sß÷­8þañÂ×ìyâïe–²¾Æí¯Sq{ï2N»]÷ï_*<¬mk¿b0VP§Í6?/ùû«Í êËlAãÏ ŸŽ°ýˆ Ê>ÎÆåCÉó™I_Êð7Þïû3Â~%?ß"XOQ{;ëdøíù:þ&_ý^0ݪñMÓÿ)úæ\™ôí4¸f¾áæ×#ì“7 |^UPWˆˆ7º çõ‡åÏø³äM¹çøAÔU9o,B‰I}á+ò¹Ïê÷t½CØ©“öUm y÷8„ÍÇZ•ê‹øÙØ›vr†£s_Dý€çêúr­P:Wíwˆ¸GÂg-«´A(«é?PÞ^+~0Ù6­?ã¼ö5„ÎòüíbÄþ ·"r6’ìàÿ£ô}†h9!Sf Ö}ôÌËyŸ®¶>ææ~ëÄëymãì.FôªhFÛý üN² ùžé«šð•ä-ß!ÿíÔzŸ&b?ÅnPÖ< e}GåÛ²?íþУªAr?CqTÂ[YŠÈ‡†‹>ƒç"I“!t«óçàÄ6˜øûn„ÜïGœ—È8‚êÎR|“ߌ­=i]íOî9Ï—øîöÛUˆZú1í>ù ‚Áõð2Ûk!Úto:oËóÐœwä©6X?"ÎðU½Ëë D§n½·A}{`U†©s!¢>Ì}ßɹêÕ(¼•l¦‰êo‹ð6!žMëN oµ÷ç~*÷+ÚP,®±¶ƒ°=\—3€ˆÛ4µum="^É8.ó锳ï½g"æå3ë¤öÊm6¾¢÷ÈÓOØxÜÇóø‰ÏÝñ6Žù&‡ÙÌ—P發¯5Qä}ä”/dŸB:'æ–-jÓãanKz^Õé鱤9÷(s´ñ”½z’ŽéWÞ×y…×g!b zœò˜~äbÑdBæ““3Cm0˜|¬ÿR¸» cã×îSR?ºà¶Š½»p-Â.àó;× ®™‚ÉôIƒ>Îó¶>õø÷ó½do2×}Š~ŸÍgni}9R^´:Êt~Ò‘§FuyŒ‰ïp®¾&ÃœbÅöLúž{”žíÍŸq7!dÚÏç”ï“Ÿ¯x®¤]þاþ'Á;%F[.Õz]Z±Ãeø¶1‘?· ÖT?‚l—´ÙéÓT#DyÖx#Â%¯».á˜LNìI|!Â/ìÏß ?‹ˆã¹<<  p_H1Î$sX+ôf„œ:eÄ!ómš·™Éñ„¿Þ«|#Ÿßý1òÍÛjD Ww‘þF¿ú=ˆ¸v ‘;íC¬ó•Ì/ûlòógÅ&;Ms>-yÒëÒÎm¦ý®„‹’WQ,¸:cì‰tþvJnŒû{÷}(ÃZõxíbDm,cWÌkxÌŒ¸¸Qãð¸Û;:݈߯½¸\å{ôùõë(ù›4‡öFðåňuæœK´w~‡ˆE¸_I86¢äS»ŒVï4y¹þ ~>7ÓŠgTh»So†àWÎ3ÉŒ•+4VÍÏ´žØ|Û‘[„{³«6Æ Œ,Õ{6n–d”x}Iú_¹ÍºÛèä«côÌbÁÁè/Áã±%—Ë E'ò׉¹¬l‹S–¼u—ž£M¿ ±îc’ú›‘áHû"ÏiëgŠ¾gç>«[D‡+D Ê £wÍÆ?ñ×mÏ›mS½áÿþ1§‰ËuÒ1{ 6¶ÿSd¾:#ã)Å{&Ææ¢|\›¢íÊwQ|3‡¾ÑR]2õ ÊÌ@Ô”‰"·+ïi»w Úø"&H}t"Žè1€¥ÿ`5Ƭë+qä-›äeâÃ2];LÆpo6Ö[Vè‹QŸý Ùen÷zû«Õî2Ñyº®}§í9og©Æâ~ñ½/®íÂX¿Ò}gÏ9ñ™Ýã³£ÈgÍv"ô¸ÛÜk~ƒÞÿ3J¼1ø„ï¿ Ç¦8NÏ ÐG$­~ þ6«®p)Âßœ…Ð#]yœ²ß*ãù7âÿ•‚ib[l±'Ó½Àî±Êñ²Òññ²|­Ê8ÃÑzÞcãë]ˆº÷á¶ëŠ›•µ„6ßÖ>…Ø/ôLDž×qxRn§aöÓ º»"ï¿”ìnϹ¢èŠë >» ±§C+h×ø2bN›'¶ÑœðÚ\îù­ð·'Š>«¶çî!rŒ72®úlýf¹Ú¬mе}4>þçþÔ|oǺ/"–¶:ã¢â¸\‡ØoG9÷Ï˘ˆ;æ½îEYÏV%väëE¿7ÛÚ8R´dÛkìý®c4®7ækE¿Svß)<®to"o§º§ÚŸö–ÛÕ÷!ê!‰OÎ¥³¾ó×å6:ÎÍí¬¤’s>õ‹dvÒ÷†—¦ÛW;õ{(‡LÝ <.@œ‰°#·w ÑzýKeÇÜ£¶mÌ“v#lLÕ‡¥{_ Ë׃ˆ½:ÛcŸSrû­o‹vž/ûÆÔñ¤geï¦g©£¿  2Þ«Ó7ăcéCÉñ—uYœûÛ3N»o ܤz~ó&_®UÆÓO{J­KE¾R•sˆ<ïrÌc‘½Â‘}oû•psº yOÄùñ áÁõæ¶Ì)_DFDçIÂcNžìGØÛFŸÚÞjƒ¶ó„}ç9—s :ÝlÅæ;r_S~ƒ’ßHÏíƒXæ¶ýJÚI¶w qÞÙ!º¶±æ†÷/EØŒ.ߟ@ZWöh6¾íüB»N¥?_ÜvïËmÏ:D0o@ä 'hl£†‹?#tãó¶ qy>JÌ n}w—œëC™Öuë·“×F2~§¼±ãÕ£Wcu<ÌÌyñ:c£"ìÇË…×)6æ‰-áßì•T›L>¾_w<ÑN2½ß8W¸Y˜ÛM爻Ýد›s~³~¯A‰s¤:sç‰Ó{Œñÿ ŒÝƒdŽ>?0ØlÎ¥õ:sPöY+yöMjÿIijüÌEøÃF“&ãÅû¡Ø·MóRüËóègh¯ÂØ\¥Ëã‡^Í÷Tÿ¸±_à5ák´w­ûœ;õÃhE¬¥A¬_mŠƒZÓíñ:×?Ôþéû‰O˜wº ‘£èßP†ZÿßA¬…:¸mlä9™Ûu¤Y\íqmêeÆ8/×´ÑõÎŒ— ãЯS{kÚèv6"/°_G:¯‘0¾ÝÞ£¿IyxBn/ù}û¡äÒžõƒm´é’ÍÄùëÙÈçgÇ ÄçâA­ü»Ô*nQ“,+1²Ê,Cøèãõ1Jî,Íу1dÚÕ«t}®pGXÈ›Ì}áÓ®úʾV\s×újCzÇcš²ÒeBOîÊ0trþ\™¯ŸlvWmý^cÿ¼Úi ö íhƒõ0Dέq.ûFþ=]´¿ÓôxÙý'<ß@¬³æý£~ ß»1w†ëØçRD}•Í—Ž_ ÆIzöÑü|c•`:Z÷)Ÿï·æ]OS÷gÝx-ñae7 OWI‡;òÊÆ0ï0”ÜCª ry6^4‘ö‚Èå½¾ OŽ7Ï'µÔ'û£M2³ ýëúw¾ ßalìNÁú©Ü~E±×ÄlÃã¼”aóQrzuÅ‹’ü{Zϼ¡w7"ÎÛm*Ò‡Ð!öLãwˆ¸uî4½¿ck­ÎG¬!åû´ÍÈ_†÷tÆÛû¬Þ¡Üú‰Æé±ç;~Þ†8kÆã·Ý çù¾‚Á㶊Ït¾ÖÈbðL§ÝsR^óPl0úãä¿ßä1¤úé‰gþ$<Ás{õf„ïÿ­6Ú®ÑØ<>ä5K>øí±M~ÈO´£ÈKo¶&=æ¾!»õ¬Ë]·#)‡8ßNAì×ÇþM6Ö‰ï{ÛúÙ‚ˆc?€Ø#ÖçmÂ?!=‰Õv›ÔìµÊ·„Äú@·Ë~€¨îÖuúI·"Î.q9Åqý¥¡ã1d¾`îH2×ãëý·ö•ˆyËkÓôûDmí)ú‚Ë‚ŠÎrû„ã }~"8ç^ûHþ8Àh}›pIºíüÞ˶YùÝÖIÊõÓ?Q›8WíOc ®÷œ´†4ÃI²IߊûY¿,œÖ9m0pžO\´=LÞ§}âÜ’>è½YÏ'÷Å\Qò=fšÖL.¼è_¬ŸOyzÊ Ño§#öt{cBöK¬Çe ùàcÈúšïLÑØ]çoDœ}'9Ûx<¿We]ÈŒ©õXqˆü¸ÙˆÜø "òãý¿#l_£ñºµÜkÙß!ˆsÝxq,ã—=¾„¢ç/5û)Énϧ –i¢ÃstöíTÆ>'‹†‡¢èâuäÁÇ|Ì1mEä›N®NF¬÷¹>eïôÆ7QblÕ¶:ˆToàöe(}$·Y]ø\±öëGäߨOÞ3>XM¾pÀír³±ö3~Zx;BÆ4¾µÛp7!|ÇmÞäý#1~öÍï3~=‡´ÜóDŸÿjƒÃè|=å íØÿE¬máWýM‰‰“ëȼú„ÿÃv^€ÈS,P_>í¹¾w÷˹âijÿ-^:}úuýCÙ°±ß§ó…›Œý/AÉ¥½aGy,Š}Úœ^p£Æhï59æ-çš6º>„ÐG¶Ñší*ÞXlSAqÌ´+oCìSz¶ð°VÏqÌ«D“åªß`{sµÿ«Óµ;ÃÉ3)K[-Äšqâšü½CÏvùëi œîëÓ~8?÷Ѫ!b¢Æ]ßÊpUŸœÆ£¤/mÙ5\„i'Šÿœà¹cä_ÑáKõ¼ÇÛ_/yé®ü{Î|ý_%ø×é‹òµÆg磹÷|R¥Œ¥ÌÜeÏñ$/ž­çÝn¤?r)ÆÚ;²Fây³ãÒš¯¦`Pì÷T¶å²‡²ü)Ñswý{TG2$X ×#—#Ö†²Í«Ôî8'Ççžìœcó3þKþõ•‚Ÿ²ìÅÈùlòßb¯ Æì]î%žö»Ÿ.|ñþ<„]ï¶}S÷nÕ·ç—"æórDîPñ‘qª#JzW¸ãþE)·A^¢m|W?"â¶4Ûúb½¼ËLñA²e\¾ºß"ÿ#ñ™¿çõÆk%_ù¾ÛŠnó>†Ì/éøhFºÜ™ï5Gvô=™ì½Áï"l'õ•Îss^7œwŽ"ô…ÇØ÷©úÿß\²"Õò}úd'©ŽèÓ(ëÌ*‹Ûèåv½ë^öu"¶s¸=´øä± CjKµ\éq4åG>\—»ò¸§Ë¾Pô nˆg{zÛh`vL•q~Á¡¸G§¯föru·r~ÝzÇëúù«r±‘aHùÕx%ü­GäðÜ·sþêP®©_m®¾ˆSÊ*³÷«Æ¯U¤\HÅà]Êz·ª¿3Ô–Û†×^cª^óʹGäûzž¾ïÖ&ù•pRo™=Û4½´‚¼zÞéËïmÿd†¿ÃxzÑÂ<ž5Vp8qîÄž(qÇd›inS&ÑF>œp|±§”çþ\§Hg$št#j8)Êuß½y}É6D ¨+óKÚoöÕvùŸÈkÒw â ëE;Êtæ5''ÊTï.R+~Ýf”µ}•&"Ç9W¸5]ßkït|‘wBÔH­Bä< ÿJDýØOÚè)ºòeÑæPD\Øu¼µ×øF†)ÅÝmϳq×|¬Î.Ý¡lx6B>z¼Êckö»×úÞÚÖŸÝŠðM]f¹]×?“²Ü¯¹ÍÓ‹±ù¿ÑÍc„ÏäëSîÎïÕh·®‰×ÏëÝ]k7ºÝîzÇãÝ_Å0R¢û²£Ó³‹2ÜÐd=×(çVPæ+÷r­}¡­¿Î¬'Ü.üÍKÛèê~MðÅv–éú°®‹·Sœn±©o¶9¿ æµó‘¶ÔFÄ·¢m¯ð¸¼ÇȨ#æ"ÎYß7ÿ¯)>”òsñ?¾slþ}ã2_oãÆúq£÷ç>{h?¬Íãé2û¤Óã“”q‰Î”§#öJµû“[k({6 äø6¼OEä¢$S*¶ÁC{û9(s¢ã‹9v4±ƒs±Š–Úº^p¯Ëøjn*éÚäLÃcIÊÍ‘ OµÝæ }¶"ü±ùm4k¯Ãê>Ö³ïÔo·/Ì>ž ŠMÙ˜«ç.FÎ…}HÏ2o»%n›ÆIºÍÉ}&=NX©(§7"æħɆê_qñ\Ñaòsº÷ÃØ3Éœ_ø õÀRÄy žwš€²/PâÇIŸ{_ÄY­Þîiˆ5‰«mIÎ!„œÜö݌ߓŸ…µn¿³½'ü”êß±Ïñº>´ké <·‡Ûòª g‡ üñ.ùcƒzî„ÿç~ëƒÈ{Lsîšn]òv”36Ó™'yl-&!jÈfk¼’YÜÓ³ÓìÏúv„œàûäÆÖöл‹sÔÇåºhwŒ=Õ—»Ï"Û³ï ˆz‘µˆyå1^›/•z~fÄæÄÚf†ßAó'˜½Ñÿ #ç/7ý?ʨkF]œŒßk÷©÷¡&羫”#kÚhËoʇ©‚Ïu×dÅ¿8L‡Õ]–;ݬÍeÖ^§éÇ–j>\/§sR'¨oå9Ò™¥;2|õ?bl^š0¬ÊϦ3`?…ð¯8†ç êvy}C攃â{w Ä/T ŽÇ•ûDsÆ èïÍEÉ¥5)†«tîñ¹âü~ÏטC±iÓù¥ ²í[{U†kü×1¶~„½â×Ø6åɳ± ÎÏëë™Oaœš|è±·Ë®@¬£ºaWwïÖ÷_rÎ:íÑ|Š/Vòô½ˆøÅÑmm¸]&;tðS‡µ[û Â66˜[Çd„Mîñ”'uwÃ(þ ÷ÓMÏ­>@øÐn»þk´}>k8£þ›(š1L[ò,»þ ÑýªÜve²p¸M߯oéÏC÷ÃX;@y>¥¶yäùÙ–é¼Îýó8goœ¿h3ÑöÿtW©gûoE¬A´ñT¾ˆ°÷»„¯KD§;Úàz៼Jצ 7ÔÑ'"Û·åûF»•ª`£œã\¥l\-: !ò.ï—äýÁÇï…°—ÄÓô©SLÑ}òy±uÆå–ê·Ç¾ˆ?ÃAÇ«óœ(åÙžmý¥½óÜ·vßlX´±>gœ‹87~špÆûÊóñËÈ·ßR;Så%_¢O8›Ž°ÙùMM¾0ýZÝ®À.D.­e¾5!º}±‚Çݶ˜8|“uÁùt„pâ¾ç2Œ=»õÆ<æÚûyÒcVa]!z¿e¿¤"³.7ð(ÓNÊp¦ºª"æã²ÆmÛŽ¶ûÓµÛqO9¾#ã øÔ¿oû½© 6k+G÷¼ÜfÏYŠe5D§å‚ó™|µ³ W„y£•ùýÁ_ üŸó.ÓmÌõ§r´ãÿÍo·(£ '(=|;ByŸ'æÿi¿Zê?òÒšÀKÏ.Ðõ¥¹ÏT/}Š}"Ó¤f4mÐnú…|Âä2þÁþpn¯i6R×ÿ!ö®p{ÝsÈýˆZ]Ò–sämºwCn{”9fÊóÝf¤w®Eä:V©f{¾ð9aSŠWŒ‰šÍÕø pAÜOEØEã0ö<­N]g_ô}.×oåÿ;ÏGĉ—ª®x¶ðÄñ]m0í+\ÚoÊè±¹;‹"Tø˜ŸûíÎó/õ½Jpœ¥o“_1økkôßdL—ñîƶ7Šþnÿ‘×~‚¨×[-^pÈúNuS?9Qßç ívé³0÷™öXáÿsûrõëÝãÔßN={#â zê›Õ³´àíÂë úy'ÂÎÝ€bÇ÷íFÖïã…“AÄ|v߆þÛç_…±ðcEÏÁ/Ëx¨L×hƒâ/Ƹ)7®.8.“[s©ë¨¿G¾òøœãKsÿyº>*¼>‚¨{™ šSÒfîÞ)_nCÔbJ¿T)Wl.ÈWa¼¿ÇÆÝûWáæÄšNÙTeüî×ûgJÝÅÌ/ '³Õ†ÇŠ\(®Z7yW³þj?Dì÷À{ž‹a?G!ô ù‰úë µçq-çÃS‹ñšI™?¸×{4~!ÚJv§gùÌóòø‹°ŸðE»ÆäKÇ!ˆ³.ÕØiǬnKÛ¸êŒ'Ðß…î­u÷ýöýÁz"ïpqþÖ¤œjߟT_ ó³ £á¼+…WÊÅï«N”3KxEÿjá7‚çÃoimÚžlŸºxëòX¬ñMó „í>Q¸!í^ Úz÷)ÈóÌËœ›á®ÝŠÈ‰s®œ"¸Öén­à3ÔK&7ÒYØCQÏCÄZ–)ŽÃñ>®³ÄÓý%‚{©úá»÷´Åýd÷+ýú/QörM6>Ç¿Q³³ Qëe÷¾bòzšÉ´y÷Ldû°3×õÖ?€È}ð}÷—IÏï×ýˆ? 0†GS>¬Ç÷¨ëÌÿ ß7ŸŸÏ«HÏ/Bø€>ß8æD£Mˆš˜!Œ³»=7‚ØãœÚ¯BìWy.B÷wfXŠÝ-=w5܆ß'V›ìÿ/‚ÅôÚ°ÉØ:õÿ.äýº®³ÿÆ3é<¹~D<í~äš7ù7;ÌWmþ1óI‡ù j÷TDl™88¶m,›ÔÖt”}<œŽUê7Æ.¿k÷ȶh“¶9}â})Jî:íÓ;ë?pÌþöGÈpÆÿ¥¶¯GìW&˜ê3±‰ëý£ÿ>ˆØ”üSÆKK]»ëê×!ËuòÔö1\vÚgâ}™¾ÕŠpø7½Ç¾YûF›„öú㔥§‘ídëkúÙȶåyˆ½<§aì>²¤ÃJD,×–Ïó4ÖÃõ}¿Ú8 9†q©èê>c.ªÿJrÕë(œns1åk‡â-µ+¼ç²]ùŠêÝÒzƒuy­~4Ú‰¨;ª þé]â—óqUgÂ#íöß"×p}L} tûJ”üsíxµù·é‡3}R}J_æÆ°ªîÃ4Ûp}™Þ›,zQßPï¬@Ìõ#tO„ìe[‹rs"¶A<ÖÖ>P~Ñ~{5bïPöI»s¡ÆÐ#:ß"¿ßãóg~»ìãøåo¥³/8ŸÎÊýL=ÁÇnóyìÐóÛd|æ¿O_¬¶=aðÔ>†°Üo7ÃÖøºà L¤nø#"þâco&W. Ü¯lÌäoÑÖ¤ ø]Û;F‡7_TÈÔÓ.ç\Ž¸l`œïÄ÷·ö.Ý&#þh¾%'X5;§Z3v}»pÄZKæ0Þ…RgÑ4P5§ïD±ï«Œ^¬1š_Ҫ蹣‘tHŸëÒÓmUâGy«Š?ÏqÓü¨ž½‡µå[õmã«œŒ¨õâûÓPÎ,é<±Ûb­ÓSŽñïÏÏ×:4>Ù3UÊŒg!x×ó3Pêm*Ç ö¯§LÞ±ŸâjÁa¶SZûw¾>L²øã>[{ Qv€Øß¼akyœËmŸfÆe©Ñ'Ì›ûp¸þ\ša^úa„½¹Q×ÎÿK„'ƶL.L}:ã³Ûôgš7îŸ~7ã=탤<%ã5£sZw3C97×#ô¥©?ß"ªä òc˜”™f¯Lø­ÆJ½Ê¸ßäìc¤Ú—#΢žœÛX¸±&íÕˆ5@Ì·ž‘?•¶ùÖcÇ´{>o*áÒ<ÖÄG«±dÛh‘v+tm B¾;oº×È0V\¯Ús=ìöõ~ÂÝÝãÜÔuùüÊú“¤¿\¿xÜÄáóõºûå=ˆuûœ;·"b# ¾Û5ÿ](~BZ»Jh‰`éT[•s½Ê>æ¨ï£Ä5¦˜-3ýcù9Ö 6_‡šÀù6[ã»QOdckð}ʆ©ˆü»Éд—‡ñLùl±_‡ÍÁþ4÷[¹Q—5¨ßžks—ίãsMóÑ:®MðWÆ]‰àç·åñ`p.ü ">àñ’ ˆúqá£.\•óÝšjÇåÓ „Oúg”úÚŽÃuý$DýÉð Ÿù:âÌÊ™(¶\ÂåïÓ†ßß#ìdêøþ C9+fg†¿6-Ó°ØX½(6Fun¦}Ù›ý4}SÿÑwºWmïR·Srš}ˆým†û$¹¯æyGÚ+Õî;ôáóòËÙÂ/G±jf£qo/Æw{ûóX+6÷z¶d\qýhZ«³OcåäËÔeôÊar.‘W/6ò},ïÕÔ¢¿b6Cm¸Ë2¸ÿ5y9é}Â}fGý„.4Hg¬ÏþØ6ýý‹rÅ^ñ€ì „“§0[¾ƒ0‚ðùl\Çïɪ‰2†¯0XÍÿâžRjëwœp.Û2ù¯È~4YÞò¼g‡žÙq–i¡XkÍæ+mú´NšzÁõ?³5ÂîÓs.ÌWßw"ê‰ûÕíês„;ÆÞ¢þk«½.ã°Ô&í±¯FÔ6Ÿ‰ ÚxiŽøe%b?D¾?Q·å¾øT?º^;G¸:RkŽ©W(÷ÞŒl{œž¾’éæÞj“pÿ5ÞâP¢ÇýRý'Oï%øíýõÄf”ók*¯Ôó/GÄÑnÒ»”‡¤?mÖ‹äh‰/l¯¿=#Ù뜋¿R 3cäÛ£>šóŽë%ë¯öJ™pŸXë7áûñsbÍ4éi²¨ã˜ülå߈:Ûåù½ñòÉÓÙ'ÓU]BZÇIœÜ‹ðƒ¬í Çí6ÛdåÉo' j{N­—"ìa—?†Ã•fKVÜWs[¹KôíDø'ˆv—#ø‹ðGä@]§Û§úå|?Õ¾a£¯@ÔÑݨïßgÙsÅ÷õÛZ¤{Ë2\)äþ,¿_g¾Ê¹G:¿‘ÛžFz?œÿ§}Ø ¶Ú—#ý¯CQòµå,ΛC¾ýiÿq¯6ܸžgMÇå m¬]Wf~ªšs”Îa^ö– ,:&;—¸> !+¶"ôÇa²g2çó.Dž¼ðÌK³È @ìE?W9ŸF¦}ª—‡¨©öy0Qïpìœß ê²ÜV‘˜Îãû«Úh:¢gO G±™gü_¾?8¼4߯›lh \MAœùsXŽçÕ8†‡2ž*l‹|Æ~·!âS½ßœøëGίÑF8‘Óàõ»zÚsÙ¥;ós©ö˜cß(zÛû›.Èã¬.G‰»t»£¡×ËTlÜÕÇó»W0y|Æi…qf÷eio¬QŒzRæ¡T“b8ìþ}†­âößâÛ£ñ«ë3€¨eöø•?ãys—In·LCÄôiO¾8ãeò?‘ý$Ž¼ç2žð+¼»=eÏÎ:uù}En/Õ°÷!ø¶e}Hâ³{÷UÛ?̳sÝž[øA›~Äͳ¦éÚzU1qÖW_¦qùÚn½|ÆÅ&Ó•Ô?6/'/AÄóÈ߯Í{W¿šßOríyÕg~cýc»×sÆ/uóí+óEoÚû#ȶ£× n@äRLgLø5²o4܆“!}ý^›Ã©ìñ<Þ4FòçƒÈr”±ç7Y¿‰vëuÿøüìð^ÂïTÁEþ%¯ï°í_‚Ø«SøìÇ¡ø²Ç]áÞjº`®ÉÄù6—þNø݈ؗYù§é”½ŸEìYæsÏíT§ÉRÁ-ù8ýŽ^¯ÃàçBߨqÂþ˜‚’Mµ`´»¯¾™gð˜ÇL›’ò‚6å˹¿t&úľìäsêãqFljO[›'‹Ž ²ÝºŸàÿL¦_ƒðœƒ²Þ*ÁFüÌÒgb¦ñ\úŽ+…ß¿jü× sÛð³:ÿn=ÓÖÞr„¢šÏ’EøN>ß߇Лä‘S2, ªG ‡Œ\°)ˆÜÐLÁnxHòq$÷wÌìÜg—É ôŸ^#¼î°ýà "¾µPüì6Ÿ[“÷›,e è´ÏëÞ…ˆõ3ôS^Ç{Ô÷þ3¿B‰c–¸â¥-½ËtÈľ|/eA8V<ˆÏ̵ۘÃ4~›kéL9ΉáÜOÚ¿±[ãq[¡ÝN?A÷lj€ózÿ6>oÂØ}ô†“ëz²‡sýSˆÜ‚ëjŽ™2—þ£rgiíÔJDÜm…Ú[›ßOksžÊmÔŒgë!ö›­g)ÿ +*¹Í g¸*nk[ß óñ:FíZ ±Ýí¾~ŒÑ Õ{r{I®±¯ dl?¢†¤?Ó#É·Ô–á=ÙÉöOCì5C<06ËyJ;v4ç{R®Æë2Úã냈\^'¢Ncâ¬I¯ òøÞVDœ«?·±†<ºÉHu«ÓÔïÄ kÙ«Íy¡!¼¶Ç‡WŸÄÑÑŸۊÖï4úøÂyâ#—mMÄz¾)æTÌgèsr.™Mz•ùìÕYˆ3°7Ê0U£¼û¯›ÛÜ‚;ÉOÎ]³7+&y¶\’•rvjs’Úcìã3½ÅvVåqN:19nÊ6ò.yó!õw "ÆßÈx`•>aÃpPeŽvÆÖÜÛs³ †ßo£'ãÅÏBìåÔßöŽrT½S~Õ$Äš#r!j+­¹} ‡ã}¯ÏéÈ>@þ;}>êã‹*ûçÜc<‚õ/ËüQüÍþŒ‹¯™¿Ç.Äš3ÏÃ<‹ÛhÑógÌIž&{Üéï´å8îGØk'`lŽ“v´ÉúåãÜQC|½uõÒÜ_Åå5ÛؤoÊAÓ­!ö+%l§"büwœ,üœXŸÿrD¼Þãâˆ=$¨+ îý¶|!;V#â7zçèåñtœ-Ú¡Ïèyæ§É—´m͆kðýÉÂýû8/R^x¼P²"ÕGMBìÅããdÿ¦‹Æ_†²Ç‘]ßÈc¨}2ã(ÅëÜ7êGÌ©/#j¨ùßëØíýCQjvê&çë÷ †}4ŽÉˆØa0ý³Ç‡mxÿRÊÑNG{䔳7SM®ûèýêgÂóùá±*^Hß®gË&L·KïŸéÛñ JëφG¦?Á×ôÉ?Œ¨µwß—ôÕïyˆ="Üp\‡°ß9ﾇX/éqc¾{¤èxƒÞ9á“8ïy.‰:å*]{=ŠmÖ¸±G9uÜÏ2Ì<;§Â8#çßA™’|\$¼Ó晚a¯‡=ψ³“v·Ñ~œúššqUã3 Ÿû°Jí„ÃÂónD¼—ô¦î ÍóKÄ:Tö» áóž{ô›4#oíLÄéñjƒmQwPGQÏRSnï—ÛNµ&‡ägö ¼¿FÔy|Åh]}—ÆJœ÷#öÏî@Ô)ü5¶o<Ú]×½ýq/ŸoúŸöÒQ?uQtv¶ŒÆï²k¢nBÞÓþ \Ú™ÛO¾(ÇL}H½Kblg ¢Ž47™‘j˜~Œ¨aôán‘å¥ÛÏ Ö€ "xÐ>]ÄcŽÛQößJ1]Î…Cq+òÆi7ÿÓ'v¹Å±Rîß”ïWoÖs”ƒK¶·Û=ÿ™“é[CÀ•jéÿ„2G+¯Cì¹1 Wòœ:éx¾péôW¡ªü^…>Í„?è¶Ã ¾ÏÒ;üb¿P‡{J¦}õ »·Ò6Ý'Þûéâ†ïÿT´ðX yŸ åsÊšÞTªt®hì²ðîFؼ¾Híw^Àq.A±>Ε~g»/EäW«½!ÄZVÆ¡Þ‘¯§3³½ža° ·²;¹®¨fz°ƒ85?½ËæÍàÔÖþ‚Ùí7Æ8ŸÌ1ÿ²ÔÁ`ïÖ«·9ÙåµO=»üŒÝ_±Á×äÅ×'ËëlÇgûÕ÷}Lô!Ó6;*㿬çÞ,œýqFíÃmãu}3_tóX“Çùí“ûu®ëy?ߟ®göÅXúê{þšôoÊ=©{3yÚV-éOÓøO¼G–/³ÛhÉñ¿!_ ‹ÙÑÕëôî…•‹E—Ï"r©Ç ¯#(µÙ3ÿˆØŸMc®¶åÖ*O ÛÃ{jìK´–êKúT~.å2úº¿…ǼŽ%É!âŸöð¢åíÎEmøv[‚pÓ_£öˆ#êò2å#ñËü cWäÓé(>TÒ×oÞG f¾·VíÒ~ n´Á§9=ýq»Gÿ4Û+÷Ÿâï”3oÎpöíDåFÚXæãN‘Ð$ ïÈ°ï³1oI#“‹wd|õìT_ïÕ˜IÛ³7}–M™GRýŠÛÎä刺 ó˾K3Uã1•­ÂÕ’Ünzw"×±Y8U=K¢›Ç$ig–&ÿôcâ—ïh{çåß†Ç _ªÜñTŒY/•öP'½]æÌÊ9±”GáyQæ©Î«óýÄ»”C&—j×#ìcéO®7:þÿŒ=j¦Û¹.×uHÒ¥ 1tÓ'õ•c&l̉xÓk& —›Ó{s5{ôŽiã…ú=ª÷f+vÕ…XŸá²}>âŒÅnÑ€4;¡OÚcJOôØ“û2„ùŒ]ƒ}äʵœ‹7"Îö2~¯ÝŸIkus%_{>ÅiÓVÑh¶±÷€ëÄæûµ ã—óÕ+kôÎVù¿…rt¢ÆŒã|«p7‚Çm¢¬¯ÚÜìü|†:)鲩ÍQÄž;:GmÞ¬ÿŸÐxÞŠØ£õ,ÁC{mIž&¶å\ ]ß6¶õ<ô§Ekæ¼h÷SG_‚Cßô«Œ“_ÞWr™Ï›,fÝ×úwä«"ìfŽ“òkž~›\o6õÿµ({Ú$Ÿ™öÌ‹ÔæÁ(:®NûÊãî'mï…ßqD4p¹#ÓïmÖÖ‘&G7ò:eœÇü›™N\WÏ뻬Ÿ*x¬í®7"Öš16ûSÑ€²gÆÖ»ø¼t>jdØËêhÊì?äöšä)z×h4Î|ˆãÆO³:5>ÚùËúq¶jNùbí'qw…Æ>Œˆ_+÷TÎQ­Ïß3¾¬§Ø˜ïéšj½zµÑ]‚›±éQ£Ãéˆ9çsvµhÓŸñŸÎR—ãØeî?šŸŸð4Š}¹lD}ß‹‹4Þç£ÔpVîA9G$Õy¬›ãVþ<ñܤL3¯á]ðc”XÀ ³A*Ë2Ðs¢;ÒýR·Üwf?ßAÄ,†uÍc/ü¼ ¯q(û«^ ú]­ûžÓt?›ù襦b"öis®ú„ÎŒúµàØSøñ˜ØÆÀKš×Ìí¾Q_ar¡iöUHù…}³®†x¿ ‘§°ïTþt¦qòŸ†PjWJlú<µy”è³>ÇÛ{*ºN¤ž¤Œ£¸q 3þاó]&ç÷ë?N§ öÄT¬(áû`ñ…|Ú„{ò=óK9]·k=¾N?2ã™|mÕç<¶PôÐܘ—qß÷–Ü‹øùÂþBñ’Ìç˜)“?”q4Ïýl×ykQjYÜ®™±b-·Û»ìg_ÝãÎîS·06&;_×v#d ã¿ŒŒ#ÑæššûHyFDzßöœBð¾2ÃÙó„bÈ’©Ÿ'õ}Xî¿á±Œ3„gÎ'¯Å±çªÎÛª)}ÈÖ©{œÝéÜh£ßLD ¶Ç:;¹ ù¸©.Ÿpü=ã(Õþ1.EYÖ.ÝÖì×ø‰ã§‘mÊ4ãÍtžï¥Îî=EßåÛe6ÆÖÛv j®¦kü#ˆØyëZÝ÷œ©Ço=ÿâv Ÿyb_òÕÕºÇxö6„üéÒ88ŒGN~¡³v!⸤Áý¢çÛ#¥Víëˆ= ûòz‘â3yÌÞõÆÛµÃyœ{îÊÏ4¯Dø¼3•=±–d ¢fÅc‹lë[(±™*ñõ^„LsyèòuÊ^a¼Uê‹M‡U¿ˆ8ß7É/ÛQâêÕ1³cjÄõ2á‹p߀ð[Ýîó8Ý|D.ÊãHm1óÅKçî¥wÄS~¾{²áîÌøhÑÚØ+ÆéÊçþ9Äkç(Ïc}Ž¿Í¾¾€ÈugÜ´.GÄÓwËãµgk¼_ÏÎÈx©Rß‚"+ºe÷•µËy_Åq7 æ¥ÛC­³y„Æhº¤z\ÛsÇj¶=Ïwi?<†È÷»îk_p®^„ˆ?õ#ÎLq9Q_ìm›­YʸkÐÏyFí*ÎØýOå]®­;Þ"ßÿ|„]æ±±ù©ÇZÄ:Hòûtåà8Gíö}{Dö ¶‡ñ ~(S/AððggZ[=¤‰ñþܯ¬†‡´¯ïÝ(\.ʦý3nºýýW©&i2¢¾‰tØŽKn[Ìн·kLüﶸÃúld?n9Êùe-Ú(býu˜ûß´Å^8›Mù„Šìªê•™¹¿`ðÜ¿çV«ù¹ÊuÂ×FDíü¼üÞôy‚azn#­Í×öñqs<FðÐl~ áô"ìW×_…r>Âtòǧô¼ãu}»lœ)ú/Eðpo¦Ë¸ërM]ã]Ÿ†Ø3‚ýŠÐ'üÞ¢¾oÎãiîìÏGøSõ™›ÇZ±y[ßfß´—(~Ÿó_IGz ÚûëMÜfv¹; ‘»™–ÇQy»Þ¹Ðº—j,„îñ¬¬ÊÆý·‰vƽGߟÿƒFÄÓ¢¼&¸Èë·õï6— ìñkrÌ´ÛlÏ5ÖGå;¹´dVþ]Û3?Ï3 +ô_Ý' ®˜‚²÷JåDá¨_ã›Ï{ñã¾Ûazf¶ø‚ñDú£Ôk6O¸Ïù“2³×ü’Þ…ùÙ¹Œ1›í¿ŠþìÑy8óJÓõét½ú7<þQËa´¯ÿ¿ÌíO3¹¸âG–Ú¾Nü]ŽÈ³7…éÈá=Ʀž®ù™ çúóôž×h¹6å ¯»épþ˜„uÊëÐ¥`®*ÕyJÇÌp]3b×ù›¶Ú›N9ÏÛ¿M×ȇf;4 wý„ã/‡;ÿ®{«ûýÁ§ýˆŸÛR´=îÏxnc…h0ð&ˆ¶Ç“LgÔ5¶Éˆx¸ê´ŠÎêÉ÷Òž_ž;"}¦æß)䶓ñÄ*·'f¼×í™NÊÅæ¹WW뢛ñà8ÆoÞc×È7!æ‚ñpõ\Œ]ßLyI›aPýÑ·fÛ#jÝ—m«ãHóšvˆj÷O Œ•q>¯Êc¨QÞÍB9S9É?òÿÛpÎïõˆxÌÁŸÂóïÛPô:õBå#º®Úæ]’µªíÝf†·c¿Ì+•ó5›ÇÕPæάŠ¶‡‰–Îdž‡koEœÉp‰bµüœ¯wv!çä‰×#4öïé¾Ëqòé‘míÿÁk ”õ~£”yÕÆ„ÌCéßÍùÝŽþŒ»O}7ð’ølµÆ| bï·o¶ Ô¾{¼ ퟧØçï Ï«<5úÚÄãµÁÜǸ;?_öJFœ·í¾#s3‹uæä)£[ýoÂû¾ˆÜùÀsLölý8Ä~Ûó3Õ/å±U7æœ]õFÝ·y’ö«'þÓš†X#Âöf!üÏaLÖ3„{ÔÚû€öÞi nƒ«ùaýŸŠÈ î¡÷ÌcM9_ÍÙæ¾]Êoâ†ù'êS:ò{üVÝ}ÜOWŠK󌚣K÷þ(ëÜÒYÐ|_¾XŠm‘—hû+–2ÉpÜC.;k&c g"ü¹á68 δ•çô4ß*»’Þ»a/oEì‹2ŠˆÑ'Z$¼:tIonʹߔ ¥oÏù<’õEÚ#îxD}`O¦q:cŒý= ülÀØ:Úɳõÿ%(¾XãQD½©Í×¥ßÉ¿g›÷ÿ2ø\ÓY©žq/á悧–áHûšWËP΀Kþý™KQæk²«„÷"„_z5Æ®ÏuÝÖ#Éì¶ê¡ˆ:÷Azûëûu¾–ÚûuЧäàÜß÷X†ËlÊÁ+y2âówKî?Å8hÞy þ³ü~u‡è¼_¾^½Z86YÞ͸²òΟW„çZÁáùvÙ“µï ì¬ÑsÀüž‰±íU{Œö™ÇŠ× tã¥ÂŸé•Šâge±î|ë4K¾ÈxoõúóÕß0"§Ñ´,5Óî“Êo¬ú˜Zm}P&’ŸÓ37`LÞ)­Gï\Ì5ÑÆ:Tï®S['šÜÖþ±mý³ß…z†|9!›øŸúwY¦Iš¦;`.øCz÷åˆõæÔÿoFÌç öX7*g1~³¼müÊ–ºPðz̬)z;ìCÙ>I4] üÌÔ¹ï#zž2Øãsò¸;2«¤3mÎëç"×ìyù=¯ë–.ïÉïwSæ¡þ~–áLk…™µCq¨ Âyr¼ìzƒ¥«ŠÐ±”G÷é7õÈõzyþßñ´ž} QÏ7Që›y}‰hαÊgMcØ(øOG¬+°ïη ò$„ïL”ùáŸ!ö¿£®›†ˆóý‹QìµñuÑø‡m<2‚Èÿ»¿è6û¸œ÷©™¯¶q>Âö4}Y3!­G5ù]Î&r[Aòë„wi|§dë&jO ûü./Ô¯Çàתz<Ím«¯Ù_ë·:ŠR§Qê[+«1–Îxë¼L÷„çW ìG˜àó9=¡íýëY¯1Qî³Ä©[9gæd:’N»ÎA± ™³N|= Áÿãuí„œðøÛ°q ¬\ƛô|îv´ÑÀyŽ´ºE/TŸ°KÜÆœ€²J“6ìã’ßMÄyÛäqç¥ ˆ¹N>8e?¡tíϺ?¡#Ü%Ý\Æ9ï[›Ýžû²ŸÃ8øA9?Važ†òó@µkvwå\DlÝtÆÓÍ¿U_lÓd]å2õӛߩoAø?„ù7ˆý„]7O&¼Ž…÷éÛ‡¨W<2ãdŠá´çŒLŸê¢ýªÜÎúf‡õoP Ë]k3@œL‘<'oŸÖF7óꔑ´9–exfýr½ÂâLƒ´—jöƒ+W»î›-öC‰ù§xj3ÓxÞ+„§rßU·•›¢ uá½Oy2Uøl!â2 Áºÿ朤ïЕé‘j~aìZȹ]Ö´Ul^¦µ SuÏum?‚ç­¿ê÷Ôï ñé@ÙåuòOÓX×ë÷åjk¢Æ Jü¬ú[µÍ¼á°ž?¤/Z¢­Ï‰b_ ÆBÈsÛÕ—Ùî“›¹ã—=æ dÍþˆX¯Ý†)Ë[¦ï‹Ô6q~¼ÚV(N¼0󂟹Wö°7\3ù6H9·±§ a¼D±£áé”}!ìGd¾¨8í«øï2µÿŠŒ³Æ9ä÷‹Ž>g}®ñãg!d¿iûÜ“áLx$?x|Ç}ÇðÆÍ>ŽËþ$kh_4¼lÿ…Þ1þb.ÖãFÔ_›QÖU©›w‹\‡44fÃÍñ@‡~.óÇÌ9ÎDÙ[¨r}¾×Õ™Ç{cék5î× â#Hò|Çn™h<ˆ•>WI/ú×n£ü±6Õé¼kç¸.CðM ±Ö³SÏÛÿîÿVÝ¿ö6'f~I¹£Åˆ\gÊž±ï4Ù²œ:Æ};Ù8IÇMBÔ¿˜Ìn±>‚òËqñÜ [å~½ãº›6üÛàX(\ß4Y#ó'ãÀ ÿÀcˆ=š(þvÊ%Ù]Ç÷Þi·\Ö8ÃòF#jõ¶ë÷bDŒlÁß+Ýà6ŒÓæóã ¤¹s_înBÈHå Š¾ûeþ?Õ}Jë(²á¶Ý‡ëi='â0L@ä^Ö žïóX®ËÇ¡ë4—©ý?{&"ÏéðÿõžŒ°1öEäf÷CÄn:Pr…iŸ5·E=_ã±G“UωÎ%ÝßDÔË®Eø,¢ajg‚Oîjû=ˆ­x½Ì ÂÛÿb¯’~õ±?¢úTÄþx.K/”——êYÊú0ûüÇsœ›œ[äåiòV‰Î>>öÁ¸ÙU†ã‰å#×týš.G'šR¦LAœIL¯šÝœÎëýjî'щïܧu[ò5êA®íÚ”ïÜîц/Ÿ/”Çç7}ˆ<·â¿<›&Å:ùü7çÈÞu;¨©Ú=çQŽ™6ê­(k=jCˆØQJ½R•<î>€b_ÌS¦ý‘û2ØýXÏé(®<‘°{-”Çpfÿdzœ“„KÊzÊÑ9¹ýªü@î]G?¡B™BÝñx¾Þ÷ÑÁìáÓÜï4ÚVwæke~²Ï ÛÆ©øÄèY½ÁǦ£úïCÔLº>´¾š/Êp§œÛŒ­xT¼áqXÂOeú²AÜš¿ßE˜îDÔ”n¯,Ö]öì§ íÝ(z˜û®26Sqÿ•vðùêÇÆ6îÿû[ïŸqRåØžaª3Gè1Íõ„?ãÊíÈ<<+Çh;‰‡6û¦ÌK©–‰sä(Õê¼ÅÎ)±Ýëì<ëpcr7íÝ™k!“¼Ÿ€XOg¼ÝyŠ¿À}ŒëÔ5û!âœâ™”gºG¸yM†/Í}Õ> ‘[å;”ŸsþV—ÚëÒ;zn]›ž¯wLi«K3¬µ× êKFäðûõ} b¿Æd=†Ìøð£Â‘l[ž;œÖbCì‡î4bû7gÜ¥½¤¦ ò¸s2,uljó¨=˳£ú^'>ëFìõC^ä\w]¾^¹þ¦.x¶xâÖŒ§*í¼‚Ësþaîïpä}¿)o<®dvqÚ3T¾=mز¾š8>.ó@í¯‚‰1*÷G ‡ÇI9–sÅn“ âýƒÿ÷¡ðX…¸>EqxÃcÝüÌÆ÷sûëƒá¡³"x·‹f.ƒŽ‚Ÿ÷(LJ3¾Ê~÷«Ï[ëkr¿ ¦5›ß>»^+|½JÏ^‡ð º2®“â|%ס¬í­ºOû{d^ç¼ Ÿ‚Ø£Ôîw8OLm¾Q;s«îq~ž¯û¹ ÓI/x¢^|ú#/¸½ÙÈ<•~O 'žŸêE‰å4éoÑÏEè„Ãû",Ñ8þWv+õ0ùy3";Œ8Ås¬îë÷"ìôfì£;ðz”zºôyÈÐN?ý ü™I[úá{aK‡ÛÛä#êPÆtfçv¹½ñ^”Üp‡Ù“‡­Ú‹¥âƒkƒ¢KÉcÓ‰ÊÃcuÍáx ßÖéï©÷ˆØûz]#Î<ûd¨>LÇbìy +Ä;öUö;Ÿª>ç"üÉ.õ±¡‰Oúa{+ÖãóÀý]âd'¢N¯QW¦ú1>xþSŽ±mÏÑòº<×Å´¥¯AÄ&äë%ûüG9û+Ä~8Ò i}½á°n>Y}oágC~?íé2Orý¿B+÷4Äq~ÁWã|è²›cý6ÆÚ£'¨ ò…éëþ+_Sÿ`~Å>ì{%²ì}+²¿67™Žˆ½zìbÂîA¬¯3ýšöV³>¯¤,¢­úc½O½ÆùA¾±6Ãa>N¾Ý•¹ÚÂÑe‚EüQQÆA“ºåaÁk°§ujÖN÷#zv ï[¿Î>äoÎ ÅÓXgÒ±EûIÙX¸/O@Ü^(^᳊×Tçü]Ffóé昌_Hßîm6ÍÞßÃæöjãåÒýæfâw&ª½¿GåÏß_†ÊÝSPÙ¶ Ó£ØûK¹ÁãòXÛ”|ÂA»—(uAé<Ñ;Ôu,ÇJù1b¤âœ5û±µ¡SìzªQž ú}JíЗ1;i*åÿ$õ·Q÷·Q/@Ü¿N¼t{~†s¾i6l} Âñ‚XKF;«CëÆI3ù–}'yH«§m¼F—Ïü.Šnª¿/Óù–—Ú _æ¸ÎÊ}[¿¥1.U]ùjÔÔÁŒŒÿR‡Êq¼Pc{—ñ¸ÕBñÀ•»‡éñEkû=wÚžOj¼Ãˆ½1»q¶ëhPa®l"¦üì<δGˆµÓñKCÑI(ºk:ùì|µÁØ4ó†3Õ.}÷õ}Œhq®m®ùe!áä|7»gó$9Ü-þ±fxžrî.WyrégÈzíºfc­ìÌãÜó·ˆ|ïìøM¹ÕœŒØ»gÚÿ#îOÀµK®²`¸Îy‡~{îtwºÓ餇tºÓ:éÌsØ;óLBH€0„ 0‘™@˜d ( ‚@5 òò ¨€¨¿‚ ¨Ìˆ¢^úïzv ç©zîsßkÕ~ùêºÎõœ]»j­UUkªUÃNenNc»´kwv9¶-*‡è |z*{s¨þG¬sS¢÷kÃþ~ß+ÓÚÓÂÿoÊñ¡l·—1¾°ðÎãþúÊC»ÍÃÓYùˆ/òù¿u½8ÇÁ~'ì·-Âû'+ŽxùÌ¡Ü—WlßÛR?G™Žvâ†õÛ5q bì5Éòî;BW§ç¯^ë^xg¨º$¯Aݪo°èæ›n 5ueê§ìCß²ŽkñÏb??-õÝ+Ãþ÷ë#m¿ê÷ê|뿦üw¤uÞw†º&˜û;ó÷[ÓxýÇ„ÿy¡®¡ÝêYž…ÖãûIû)Ê™»“1•ø÷U©|šíþºqÑ3»;¿³í0¾3ÑüŽPý‚8_Šú%ú0Q>¹½!êñ? «¾‰ýùñ W”ýûSÝvæÚ÷¯m؈0ß²â¼áÝ¡Þw“õÃcS?ü©Pczw„²·æ™¯Og¨~.T_a黣Ÿ«?ÿm¢ç Óo¤3Å[wcÿ¡Þ)uMÂûŒP÷Km‰p>7µ?ÒòË©ìç„rföñjœ:–yq¨ßX<óšPש¢îø¨µM»¸ÉëÃÞǯJ´Fò‹¡žÉmˆºøñ+}g¿9ÿß U¿>°ÒuÌ•Ù—õîN´E»uoäû¨›=ìÝ°;ó—÷ä}n±Ï¢Ný»«-qž›Ö6?ú¡Î¯N°Ÿ–ú1Òð©¡®ËDz¾<•É~Ý[Ûxíü_KíXxc·Ÿuý¢çvû¡êzÅ-¡úí¿êwÅãûOI<׎B›Å¿g…¯)ëCOXñ?,®Á<.[lGäÓ¨ƒ"Ï?&Ô}–~Ü‹•çX¿êZtü‹ó…ç$Ø·%\_j\uù»û/®u.{a¨ëÞÏ õ¶ËB=ïs]™×ôrœ$Òóˆ5ïæ¥Oâ»ÛO¼ËöõÊ4V‘ŸîJõ#ž¨–ò®Yï}Ì{½®²ñçÒ^ÊÙ©]ÿ~D¢ïyë8?ìwÖúå›m±÷§v?%Ô½Á‹Žº=ÖyQ¿¼—:ò|ÔC/ u½;ÊákS{cÜ6ûƒÑÿˆsÖûÝy¾íe䵨/›Æg¡ýö—-(Þ8þÍPÏĶ?p}æú{ü„PÎ~î¾_þM¡ž‹å^ª~ÌýŸ×‰³œcÏ‘¦W'ú"Ĺý;S»žÊ:ÂNnóœ1¯É.ýrÙ·‡/½'­gÝ“âÔ õ¾ƒlwb?þ`ÊûñtÞ~[³;—óŒµÎÎoÿèÄ+Ÿx#¶/úÕo5v‘çÄyMàîP×4£lF?æ¶P¾}y9Ú”…ÎË~/µûÚuÜwú`÷³yOÅùPÖ{bLûèWÖ>¹ü_…ºÆ~{¨ß?Í::¯‡_u$þÅØQäÃu®ùà3R¿Çy÷ׇz–%þ½)Ôµ®ÓZp]ùÛaý†[¤óåËФµ”¨§ßvñ¬so õÌÓ_õ[<±o¾dmë®} Œ+_—`Eþˆ<˜â:G)®º‹½¤5Ès‹?¾»¯ê©ÍÏumåa©nö—o^ÿnþµPÏ"ý»°ú¼9fåâ=¡ÿ.hêË+ëPßêÞóösÿõúÿ¹w…r®øYŸ.zàŠh¯£îzJâ‰_YËÿîñÊñÎîì§^þ•¡Ê}òww<æ¼? å¾±o.xÏÞ³þÞþ/SOå¬{ñ)o]i:þÇ¡Þ×ÛrW¨q¡[Ö1Ø­í?4ì79Žç÷­4îîãmó퉮Kë‘·§òÿ+Tÿ+öéÝ¡îÓ¿"ázó‚ëÎÔž—„Êk?ºö×î»l·&z.$%Ò“ã¹m?ªÍZæ„W|ø:—ý€ì+}H¢ÿ·B]ƒÏ:7Û¦ºëÊ_÷,îž§Ä ûéPïßÊñ­ÛS{r¼%ëç׆ÿ‹ï£¾œC]7}õÊëB‰SFrs çî4lj{½bûo»?¬k{ }gþs¨{î—þ¸ð¾°ú§Ùï¸5õw|~{zŽó§,Ï‹ïw¼´ñò>Qæ¦PctW§6D¿3ê¥ÅWxÁ÷¯íyÔÒ·,m}H晫¸q~­wîŸ.·¥±9—ÚòšPyy©{Õ?Õ&ýüBÖÿöï:Ê÷íwm>K\7ºäy¡êÌÌGQWEž<~cÊ‹x¿n¥í(Ï…® Õ®ç˜å#C½#üÆPÖûÊ®(Û‘G?7Ô½b!ÕÍ>dÔÊBÂç$߶ЕmnšOG9É{Ò´¾ÛÍ=^™Úõ®ôÇ6®}Lâ[Öü_yéÑ¡Êßu‰žC]Ûù¥°Þ_p!áËs§_{U¨óÉÃýø„+ê¿Ló“<‰}Ÿck1?Îmóñ;ÃÞÇyžþÏ–îýŵþ=ÑÞ|q¢ç¡î7zc¨gQ’ÿ~”c‰Ñÿ6è——á‹í»jÅaÑËÇi  ÄΖþ½öæÔï ®x¯Ç­qèÇÖ¸ÞÑÿ^ŠüZØߟûÆP÷ÀæØqæ©el¯:åž´ÝùÑ®õÏ~J‡;R½…Ïž×b¿:Ôùþé7Ú‹E¿œÿ®ÔW mç¢OùV¸ñn q>øu¡¬ŸÇ½»ØõýaåÏEwÏ óŠ<§¹>ý-òïèøÀÿö÷cfûœ}ÝÛR¼â¡ìI8û÷ÒìÿÇD×íéù© V^“‰¼ûŒPué„ý9\æ™ éýM©ìóR?*TŸ-®³üéPõÍ]¡úcW†º/òÞµwóÏcº3µá‘‰¯âÿItD¾zR§+CÝp]¨~õ'¦~»%T»µøÄ»»m~#•yej[Ô{÷¬p/ÄùcŒ.>úuy}.Ç}s¢žãõ³a )ÇÃÎ%:#O,þä.6ù cÛñcé÷sW^ÙõÙkBÕ;Ù—ù¦Ô'7„²·ãܯ†ºÇhÁ}þ××~ŠY»9¶kÑÞ}w¨üÿuY£ï[Ëåøù’þo¥þŒ4þûP÷zçØC,ÿa‰ŽeÜnþ¤Pù#ËÅRþÜ燺nõàCåéXööP}Ïl c[Ÿè:—`e÷ÖµìîœE¤ýŽPïŠ{púûÞ°ï;^jlç –áû§ Þ§…ò}˜syN›ý×ȧ™¯_´¶y·†¾ŒáÃ?iÝ¿wœãMß¹ÖÝùQ UÎb»ÿr¨kÞק9Ëå¡žºm}>sy*ûôDoŽMfù+ Ç9”ígæÉè.mxË;Ò˜=gÍûÆvwüì«ØÍÉ"žÿ™ö^äöFüo åþŠI´,c¶»g0ÍuÿKÏǦñLqû¬=(TݸŒí¹Rþ¢§w¼ÿ_äj·×óKBÙ?ôè°ÿ‹¥Ï~X(wþžÊú)–ùèPe<ê™ìÓå>{ô‰ûd_á(ÊØ›×þÙ·È9÷wWÎ\y¢^Œ…þ³P×|ߵƥeòù'h¹1ígŽãy+ÒõCë»Ý¹£'‹ûvm^xîø}¡úK?èþPçü9Îü8*ï]Hcù"¯5e_mi÷åq-íÿ†2¹ò= ¾ÿŠþ¼"Åöà=>”;‚Ï¥qûË¡ú—Ù߉4½#ÔøлR½¨“_êÝ0y *??,õoò¿vpïOx—¿ã׆ºW%Ç`³]O}pü3a•›ûS™8¦Éß}ôûV{»‹ÏF[siøÙPÏÆ9ÌŸküçgRÜnñw±šlŸ¢}|Òú|ý®è§~tjKô¢]ùÎP×KŸ–ôz¬ó¶Ôïq ¢Zøkw0ÇÝ#ŒG…r©Ì³Ÿ•Ö~;”ïuìÖÔ£üEÙŒ2}É¿ê}Q'ü»P¿q¾.ìÅÓvqÙ‡&^™˜/JmyyêÛ+Ó}Ëø]ŸöqGúŸê½­W¤=Ì1.õK©?ó|ñ¶P÷AEÛùéb‚‘×±>8Û¿ ûëz 56÷ô5ÿ8¶ñÍ¡ÚÐÿÖ5†ç­8v{ÄÏ…ý˜Ø‰xVô›ñ£éÿEÆw÷$Fíº°;+Ï"ìÖêbßω¶§%ON4ý^¨sóضÈSqÍé+žóZÛ¹[ Ï|žmAô>ž£Þ̾ùg†úmŠ8®Q—½(Ô³´ŸVžŒãòyi÷É+mW,òþÜÛ½?zÂ"Ÿû)+-¿û=ÇÏãxèŠëæou/×i=üúÔž¯eÂÎ7¾*ԹΥ6=,ÔØcփפ¼¿Ê ËÛ™ø.òEžƒÝ–b,‘Ï#î¬8wóæ_Oð¿vwN û™yô'Rf?!Ú[.{—ß3qÌþKjÿÃW8;xÉ&ìÖªOÆÚ~?Ôý 絿šx%Ç<Ò:÷Î/XÊûãı/ß»ÖÙ­D^xm¨q¹ä£YlìqŒ]F¾~y¨÷f}@z~p¢õÏ¥zþÎ%XKþÑÇ/è²]H>Aù&ö[ÒómkEºn uý4öãuaå¿—&þùžö£~oòEÇÞýéiücù/ õüHä×Ö¿3?j|3ñÊ.~w¨ç ^·öÙÑo„ýû¯"=yßK^7¾!Ô»ò^€ËC]‡Ë~TÖ9ÿ õõëCYWÛÁ½>õSÔßÙ¿Î>ÀM¡òäCR~´oOMý¬ôÿ'®í‹>íîžÁ»SD¿f «ÿt[¨óïÿžþÏóÂó ,uÞcOôM|·ÈðÑ¥~ˆ6 Êcô©þj¨ßSÏzv¡ó¾ZÏ.c¿´ûv]|åõ³C½sìºPÏ·üÁ’iûµ5º›Ǿ}{(û Šoûáñ¡ÌKËøg›ñªPõÅò{ö®Pךc?fzâXùûó®/L}ðôDϧ§;¶²þÍ{¯ õ®Ãø÷;‰Þ'¬°wߦÍ>æG…zVó|(s׸n³‹WΚüæeú’Ë\Xço;“c{7…ªîXÞÅö~D(òuÅdž²~÷­’+Sÿÿá:N;™ü„ÿ¯†Ê‹_”èù¡PîC9Žý•â »z‘Η¥òqœ{ã•iÎûíb(÷”8à‡U¾Ù}“öB]CØÚ?"¼È—Ÿ’Æjá»3ïuÎé‰s¹ï õüxlS^ý÷k;#¼7$>XòÏg;ð+ñþ›sHýuÊc/¥øðî[êQî¿6Ôï ,í¼ðúP¾ƒ~ô3«÷ ìôࢿ?öîu|âwׯˆ2ôëë|èùßÊqßh<{œÖxÏÿ·õÌðM/I<ô™©= ß]ñ²µÿîÈû'³üIJKÞKÿë̯…ªK¢\G_ôq¡Úè«ÄØÑ=ëØݹðø•‹M{Ì÷%Xñý´°Í¡ØóxnöÌB×ÑËÒø>gíÿk_ê€8QÖ>|í¿x¾vKŽòmÓSB=‹ýS¡ÆQ® U§þÏP÷nßÖøEÒ‡¼9ÕÉm‰å?5_7~—ug›ÿ Ñ’ý³lãnå~šÝÞÏ<diëî^ÎÛ×1)ß³¼/ÔxÔå©¿Ó<8®ÁçøU²W,¾Ü ^¸¶3ÞMzü) Îm‰o"ìÅ:sríô•é÷Õ N^7|ÒÚg»oy=,TÛœ÷¡Åqˆrפ>;]‹~Ü­©þ}¡|ok7WÈñ¼ç¥µÇ…ú=œ+C½Û;ïOˆûår|)Û²e쎣øúPù)ÒuPô§c,ôo¦qxv(ºì†;Žè'.vÿøçïL4Åqzaêû'Ÿè§ØÞ{- ŸËE¾íš¿ûæ—¤º Õ>þãPî®8zE¨çÍ—þ¸ýîP×"nMïžšžóÜñþu¿ì‹¾¸å—ú†õïÜ“údñGΞ •§Ÿê÷ŸJ}Ÿ×sLòB=!w¶û—§ñ^Ú½ûæÁu¡úõRŸüBØù]Çy=/ÇÝâÿ Ÿ]›ø!öù"ƒ7½>”˜l´Á×d~Éñú;mQ–§JÇnÏö3BÙw|ô@z—ç3·¤v-tÜô'xã5¡òg,yù¡'þq’·…ußò¯¤1˱Ï u/Î ¡î+ʾlîÇø›|³Ýž˜4§(±´6¾£éæP¿ás÷Ú·»ùÜbkïÈû&¾r߸VãË;^[ÚyÙ®}åãŠÏÕÈ}õvÚ—¹‹i'úÎ?2Ô¸C,÷¦P}Â8¦‘ß¾7Ô8R^»|Š‡®gó‹_u×JßnïÃR½8/Zlø™ 5Æéˆö1âÿÄP÷í~GóhÏïX²þYÂ×½£=|B‚û*Û÷øþ1¡îÿ‰°”ö]ê:ÒǤþÍqÄ8N¯õ;;˜àÅ¿ÈÛOMãõð´wòòPï:Ìk!çB½#êØXo õÎ÷W¦ÿ?4•{bjÃg…¯(û¶~$”=]7?3”sûçÞ¼öÑù§‡zoÂå‰ö?<ùù+BÝeÿñ¡Ê]Þ™×,¢Ìß¿ÐmÛ§†/ôDë‹C¹`7V‹­».öù³×8SÑÙ™†Ø¾E>.ü™eXc\åE)^‘ã‹‘ŽK4Ä>ºw­wÝÂ_÷ǹPäç…³½vmÿ.f²ø8ee²I;ú–ùÚ.ó¢1Á7&)V´›—~ÓÚÖ×Ršžc²ßª›÷žÅq»uíÓ¸Çöòë–ñøÐ4_Ï>{ŠÜý¸·¤¿èGÅ9kÜÇ’Ö!Ž¾6Áº!õùCC½ëé!¡Ø‹‡Ôú{!öiÜ?·ø°Ç)^¶‹-$y=Îväd,3Òò†T&òÄ»=oH/ 5Ö_ê>®¼!Ò´´s÷Šœ—uuŽ'Ÿ õÛMqßJl{Ôê¼8­••¹Nü[üÝGþ•uìÏüÙpôæ¨Ó>6õAš£íè}èêƒíöúft]¢3ïQYp<ø ¡žexQªÿ°DCÜwö´TïòµîÕœb w„zÎ$âXtÆÍïMôF»ðÉ øg†:÷Ž¿‘Ï[z.ÆéïZÇë\ıè…kÿa(ß>þèÔöBù.iô§ÞûóVZ®üPcƒ‘¶8æO 5Þ»ðàeчù·aõwê|q »Ù5ißPþ®G‰¯ß»ÂÙIŸ­1ÿ×B¼"Ôý8Ñ'‰:è7Rùÿ’h‹e£~ús¡îéËö,dz¯sÓÚ宯ïMùêºàM¡îy}w¨weÄrÔ¥‹Ý~ÊûS™ÿ‹Cõ_sl,Ëc„÷ „3óV²ù»}ýهδÅzy/ÊÃC=»ùàPâð»3§—¥˜ö2~g¢úDãCCµÓy½ùIk½ËâzÏm þ? uŽácÂ1‡zÞîÎôü‰¡~wâ\¨ë¢±Í_Ÿ|—«Óø>-½ÿ‚T7ÊÆÒ‡çÞö×íNÆvs,jñ‘ÎFùbÑ×G_œèxâ úò˜æøÍÕ¡èûÝœòÙ©/ï;Ý6ýF¨<·¼»æ‹C•Óÿ›úfñá®\dûߓʽ7T}òÿ„bÓv{#/öJÓ+~2Ô9òI[‘y0òÍ'…²àƼÿëªPùóo$>xi¨kR9–ûéùaÿ^²§~X¨1›‹=—âª_™pGý‘ç@çìo uÔÖ{­?=T¿â¡ús9¾ÿK¡úÈQÿgÝü¸P¿{¢ûÛR;C¹;íø¶47º;á‰:$¯yF>¹o˧ƱzÂÊG9Þ²èªÏ[ìà…‹'Ú1‡â ÜùâæPãúW¤xÍI¿>ùΗÅyÛ«Ügwžíþ®°ònòåÏüÞò÷¶åýãÒ>h…uMÔ}ËÜëš ÕÎļeÎuÙQ¨ò~w¨÷)ÞêúÄ5¡êÈÌÃï õþðd×/ÿÞPåù\¨ñõX'ò࣎_­t\û +;øÃu}h×"Ͼ³â.w–f³>ýô°ÿ]–ë- Œsq])ò\ô=—yÒ[£}Ý_Hý»ÔÝíA<ùÈDÏCÑ+QÞþf¨ó'$:"ïr¨ûDcÝ(7w„²g/ò|ü~ò}¿êÚT¬å'ÚµEvwßt»*”s«G‘W#ŸæùLlûâîîÂz`’×'X_¾öÿÙ)¬kêzÛÃBÙ£{ô©¡úîñ÷‰i®~ùJã™ïMãyyêóhï¢L?-ÁÈñ²'‡:wüka=rXïyH¨>ôsÒ¸Æùy´ßïOu>%çg¬0|ÅÚÞsßÊ>çÝ»ëÂÊ?o\Ó¼;ýOêÓÅO=Zæ?ÇÙ¿}Dz÷ù ™ß¶Òüƒ?·þv¢ïžPõÆÒÇç?9”{ºüŸR_}s¨þhš‹}t¨qÜ›×>ØM|¿øX»»jb»~7;±£3òùSB]ÈãýÁ¡žûÊ~æÏ/ªêáko{J(ûës\à(Æ2n¬ýuĹãûž02¼BÝqE^|tê›…_Î~`¨k±£øé7Ûæl3n^Çço§õ³ßªœe>Ï_±û&Ù’÷¡Xiû™ïOu¾&ÔoÚ\UÆ–v=<”ý@å{ª‹=ú²•Wvgýþk¨wKD¾üáPã`·¤>¾#Ô½g± _ÝôÝ¡ìw¹ëï¯ã÷%}N(kå>‰Iÿ/rž¿#Vî¨J1¨È»o!æØxÂ>γ?1Ôûæ£ÞˆzàóÒ‘Ï ÕçÏñ‰¥ÝÇ_™úãÊPצžj¼àêPìñnm=ÏkoJí~V골[þh…{æÍ¡Þ“c¬çìÏ Õ‹zú®JË.ï©])žïö:¾.õ}^7Š4¼$½¿2íoùÔÔOK¹kr›r|-óÕ¡Þ#’ûïBYG¸÷?…:§ûíP×ló<5Ǽ–~:óûéÿØ\û|·¾öšßUœÚýº%ÿ¥©îÒïçþGjcZã,mM2´»/yÁu÷ûC‰!îÆ#ÒyîƒR{|¢sßÞê>á$ç>üŸÜŸÆé\*sG¨ß‹ø£|<5ñÇé7ñÚù^óŽ~z-»³UÙ×Íët7ÖßÝÝŠÉO;z{(÷ß™ÿÿÍÄ?•ÞGÝþÍ¡Æ î]Û~!â¾-å/þMÜï]ö¨ä= çÍÙ?KsŸcÙÝyÓÚg»½˜w„ê'R¨óù é]ö㯠5ùù+Cý†D¦'ÇãnHûTž™ê=;á|m¢3ú1y?B¬÷@XõHœ—-öô£C•û¨[Za–xeÔWËÜül”ñ(GoOø¿bž÷„õ;ío9QçÚÔo‘·þxý=»¼»+­æ½ ;ÜKŸœ‹ü¶ŒÇÙ/N<uõÓCýÆN^‹ˆqñ'†º†ÜòýMkßžÍq‹Ø–ȧ߷âÜí[̱ŽÇ¬}÷‹z2ÒðæPýªó©–¾:~]‚½ôí5ê:s¤ëÉ¡îY[à~Ñ„z×fZ÷-{Q¢Nóö;Ânàqä÷'¥v-r~æ߯m;óݡ誸‡÷†ÈçÙYp]y4Î Ûð™‘Æÿ\p¼åÞô½¤'|y¨ß}Îq—<6Ó’µôÃûÕûÃÖö_ömÞmK.ÿÔPï›íø¼?Å„Î~C¨çæž–tMîÇì¿E6Ç7/¬ãôJ}wk¨g.õ ·‡º›ñ=&T>Ë{g²þÌ~Hö+>(i†ÿ‚ôîO¥¶dŸ*ú¹Ì2ǽ°ü^ùÎPãWVšw±à8ïº!ñóSÿfŠp_±ÂÚé˜×†jûÎ'~‰°~%[ïBÙÅÛŸ`wÏòãBý>h¤ë}¡ÚÏHó½ Î"“g?+Ô¹ôo†¢7"}QÚýòPã'Ñ6EŸùy ^Ì{ÛúÿQöMîI4ÄÙeÉ¿ÌëƒOZûðL–»èÃ~i¨¶e£xwÏQ^ˆ}ò?C™§‰þHÔS Ÿýñ°¿ÖíΤ²Ÿj¼øÚPc·†¢šõÍG®í:Šsœèýô¢Ô'yOÌ-¡ú2 õ~ô8_~Bz÷ÒP÷þE|ª>‰õoLçø’]¾9Î=Š=8ûÄPבʾéÿ=&Ôï\·Â;—üí㼞‘ýÐöûð•îËþKÓe|ÎÄ8bÞ§‘íO”éeŒÊÝ\ uËdžºVò_ì8]ôÏ…8]é}Ð'†ºòäPîGÞÝItÏnóƒC™óžOóÍ[s|l±ÇgߪŒ~ÊÚ§Oþ+a½×/û1.t{¨ö ¯QFþ¡Úž'†ú½ç4oŠöᓳûù®Jón=ý¡¡ÆA–ÿÏ¿:q&Êæ›ÒØÄv|g¨ûÖ¿¶âˆvy7¿:ÙÇËx]öïºæé¼)õñu©¿µ¶çü焺z¡ûÜ¢ÃÏÿJ¨s·[Cõ®Oíüêµü™XwÑ)ñéÙÅ·ºlñvß‹mzÆJËîl|”õØŸqŽ}ק'¾yl¢õÓS_D»4§~Šrû;‹Êøö°êŸMmˆpbì=û” gãZÇ—†ýGÒ=»õÁRûr¼1öY÷{BCËRôù{îûBý~î"w÷.ü°ûf΢ÃÎG?4úî õ¬`Ž[.|üß U¼+áþ¸„?Òòµÿây“3Ÿ*¾xñîtÉ¥qcâž»ñ‹tEtÿ gw·Éž]ê/0vk_—¯í:þsa/®¹û[æGqNþçS~K(þÝåS¨{2¢Ë>e¯»CÕwYWÄúê¹¾ŒçÎ|mÌç…ºÏ:Žk䧥ÿÏ}õJÏî}^+¸)ÔïÛýj¨~É[Wø×~gêóHðê}Hýóiµ »ß·¯4ýµ´Ÿ$¯e<#Ô;h£|ÇùSÔ%yÎý„”ÿ²•†s÷†êGĶþŸP×!nMð¢mxv‚¹ŒÇ™Ÿ;;Ã}ùoNôW¤'ê± 5®ž×XÏ­0¯úw+?\ö¶Pî™:Êz+σnZÛ¸ã›'%\.Ó¢»ÏüB¨{[[½»³-âù™Pc›‘¯ŸªO}EjZû/ñÔ˜ÿ÷Cä9VÞaýb¢!¶ûµ‰rÜ>Ê~”§uM'LJžjlÿþ°³Ûg³œ¤yë:”søgž*g½ûàÕ‰'–1ýÊã4F‘7£õÆPçý uþý‹—„j7šúœP¾7°Ó‘G"þÛ•†£h{ózÓ¹PïÓ¸c¥e÷Ý—?Hï¿lÝW·£ñ1¡ÊS¢û\Ô1oÑÙGÿ+”ùÁî|vž7¤C\ÞÕ~PÔ«ª_qD{±á\l郛xô£)&t.µ1ëÌ8‡‰4?­{œ×‡"ì›R_~äÚ®Ý9úó+o}Ê:æ×-:q÷mâ‹Èó¼ç§ßEÆÏý‹e¼r#ÒõÜÍ¡îE~zÚ?ñ´Pù?ÇËnZqÜø ‰¯žî„Ìþþ¡|›e·ß÷)ïc-Q†Oú±‹ý<Îk‚ÉŽïüñؾêw¯ž½âØŸÍq—¥ØÍÍulwûb<Ö}a¨sãËRÛÞµâÞíIù/Å%þÙɇ­ýTöÞdÿ2í3ÛéâG…ª¿0áznå‡]ûž•ê^·–=JsèݾÏ4?xhœÿÞêÙ‰Ï#.OíûžS¼,ÔïvG:¢ýMë=yÜÎO_ô÷g,ýµû¶{ìϬ‹â_^ŽüsXã—¯}püDg”èßF‹zúk{£ÿ·û~ëÇ%:Ÿj¬ñ9¡ìõÛ}ãsÒxüÇDëŸÕ‡cø¿Cýæmæ»Hç¢ nzÕRô[¼ìÇå6L çÝ)ïöTáÓã[Ó8,í¸ð¿BÙÓRî‰<ôê´ï2ÇÛ¢ŒF}üþPÖ(w÷²Gš¹–Ù¡8—b¿ÞÓCÕϱßæP÷þ\êÜ1÷éµ+Dÿn·g$ùfÇ/H¾QìߟJ0¢|õÅRîìœúáP¿ “çPׄzN'ÅtÊ}7ɧ,q–¼!ËPlÓÃNÀ|Ìú÷£—5óáŸÒÐø•¡®iüÏÔîh¯óÜ.ÊÐ-©-ïï¤zÑö䵦ËŠø¿7ݹãÿÿ´Æ%vñ°ïJ°³y!”=±×O*çÝ™çãÜö'Âúm‹Xþ—CõÑsŒ!êÉè¼)=Gz^½öÍe±=?ʞ̣w†rßËn¾ýC¹o·vi¹3»váO‡z¾ìúPíe¬cÛoL}“æþ;þûÈPöBçý»»•¿7Ôsï‹þ¾"êÀß õÎÂȧ?™ÚyW(÷y^ñ—WÚÏüŸPäð¶¨Ï"Ïþ@ZƒJþÌÎßÉc~C(ó¶3Ëc·Ïò¦õÎìݺmÄù[ë8½ê¡Ä\nû³©?¾öÉ™8ø…ÿãý·¥>ø†õù³ò|6â¼'T[¼Œïî.îì?;ÔyÝòîêE¡]XìΙŸImûªPz‹ãê~Á¨CžšÚ˜íZlǯ®ãû=©Ïã¸e=›l@á·X&ï%È>j²¡çêša¬ówBõòü俧¶½;Ô¸pö¡. õûqÕ'¾lmWŒß=hñÓó½ó…gbî8AS®“eøäü-ÇOÞ”ž=Ý ’æ7üÀ:Î;ºã<:¯‹Ý´Žg±ÿw§><ö×TžÊù°O¾=Ô}Q¯<'Õ½‰ª.º*ýE=öšP¿µ‘ç,ßÊÚÂî}”Ó+SÜ2Ňwö&–V‚çØ_—Æÿ…¡Îao Õ.Ü”è{|*÷òPmX‹_IežjzW¨{³ÍzçU¡ÄWwqù<>'bnåLÁ•'ðDY{Yjcì—ß 5VuØ¢o¯xg¨1Ö¼Žå1ÏÅÞŠœí`¿/Á˱îˆg±÷æ=‹=þ¢ØîÛCµ{‹Ž}T´Ç_šú7¶éù Gìà u-ùé¡~W4¶çæ”w}¢/âÉk<·'üצ2¿–Úþa=ßý”¼ÇàòP÷¥Æ6=%ñÃí¡úñ7Æß¾*õéŸNcŸxawî>êÞûCýß™ÊeùøÂõÿã¨Ïßð¾5c¶©Yÿ¿<Õüç†ï eßɹOõÑ[RŸgŸ êŠ'¤~ËëׇÊNýµè«¿5Tûûö¥±ùøPãÐ/ õŒÞu©üÓoì¯èÛ^ª¯ãŠÏ õ®Ãs©Ù÷^tä Yw^ŠwÕ“BýæZòm‹þyrêßÏÅÎÅyæÇ&Z¢]‹rãIŸ–ÊÄ>‹~Ãs×~Ùázn÷Ø·¤~»+õwÖ»Ÿê\ ëÎ?ªÿóþÖ"óÙæÆýou2Ï%¢Ï÷©½cÅqõ_YÐÞ–àå=ïç·„z¿ï…¼ÿætÄ¿—†êûå¾tDøI¡Æ/¢MŠó”ÿªÝ|vzi{[ÊOXù'òÜ'„}ÛòŠPýÔü{óZ>îw»bá½Ý7ßþúØ/åû[g^ê>¢e¬Ë_9çœ_šúéû—&ç5®§Œ±ÁBÝ“ÿLŸûC½ûŠPuh,¿ÈÅî^Âh£¿>ïÚqSjóKÂÞ¾ ÒŸÑgù²P×õ"M‘¶¸võaåÛª=~Ú‰þ¸?åÿð‰1Êí¼:}7%ânªmOÔ-OJý¸ØÃ31îö©î;B9|”ö¾½0¶ýqkÙ2çËòýéÏ:Ѧ¨SÞ¸â?÷·S?E[y(ÊãÖq=óÙ¡êö«×8Ý®läÕe\ËÝ×Yþ²Éë­ %žXüžÇ†zÆã¡k{wçUêúi„ñc¡Îí¿&TŸðªø¾{iÞ/¤z)½{sXã#»ÒÏÍ~ý¦¼¼ÿ9Öÿ Ô×ߪ|=<Ý{|M¨>Göj,5Â}µŒã™»¯dðu¡Ü3æ#Ž ëü+B¹3«œû:Êþäãï ånȼo]iÚáÌ1œ§¥zOH}øìuÍnnœ×Òüí8>Gþí¡î;ÊzëA¡ÆÇέïwû<âÿoK¸þl¨kÚ1öøÓ¡î%ÿ[é/ê‡ûÌ(¯ ÕǸ/ÔyóCBÝ—}äÏ0TÝ”çÐçSÿÆñÿPï܈1»SÙW†¢Žc 7Ær\ãí©|ÔÍ¿™Ö€£LD}uÅÓSŸ¿"wžß,^ªÎ|^¨:.ÅBÏ\Æû󌟠?Ú›;B•«ëR;¢þËs†ì[ÆqÈñ£+þ¢ƒêžÓÌS7T1ÇÈÎ¥Ì#Î[CõYrŒ(ëžaŒ}y¨v,·9öIÔá Ÿ<ì¯'ˆ2õ§RÿEÛ“â¶ç#/EùzbƒV~Ëv$Ò2%¸‹­Þ ^Ú{ëb‡ó9?ó¡ž9¿þýÓPï ¹~i?x-¿kãsVúv÷:DY}ã°iŸÚ.öÛ}­§¬m»õŸ¯uvßêKû,v÷ŽÄ¾ûŸ¡ÚÖÅwÛù“w‡²æ÷G]ÿŸÓØ_»¾;ó¡ÞÉ—c“‘æ{mÙ?\h}\ç…W¹ðÊ×âs<ëa•·G†úí‹øwW¢'¶k^ëíø'úNQÝê¾Þ ¡ž'Žñà7­ïÎäJÓÙ·…U¯Ke^ê]e/Jý>‡â;Ÿ u/Ô#Cù~ën<#ßf_6–ÿ› fälÿ"¼¼nû<ѱûörì«ÈÏ‘¿[´;#²ðËÑ¿Lüó´PâìÑ·¼ìÇ—ß[S^\û‘…¾¨rÝwmøÕ‹½l±û…PuЋB½O$éx·òeqíðÿI}÷×S¼1T»ýøÔ·¯Jõ?nÅUÚz_Ø¿oöõ¡ÞþÞ°ž_]úrwæîÑ+Œë¿$õч„²vï Ü;—”øçèß/í]úÿʸ/'ë盓ïËÿùPî©Ûí¿i…{”×"ïDÛøÅ¡®qžŽñÑW¬|µÛoý¸ÔOÊ™Îã¯]oúê´:¶=ÊY¶kÖÏ…²N´kß7¤~zy¨z5ïWɾÕ3CkDš¾<YyÎbãã÷Ôϼ'¬ºéA©#œo ëW‹Ïs棜G¯cºóÿãû­+]W~ú ïQ§}Xê£è+½%¬òðìµÜñ‡õ®ëo ë½êw‡j#"ß¾8tæo†¢/üQX}ƒ\6ωóZï"'·½8Tß+æÅØßW®{½çÏÝo;ÑÆ“ryOÊ\oñ¥âwÊË\àêÔþ uM2뙥½ÏŠ|<‡zŸX¤ï¾PÏÅžKëº þÙEW\ù*êîoNcz[¨>^Ž‘dÝ|K¨wòÇñ9é“ßœÚpW¨ç^b\öi¡úÃQß“úøÅkŸíà-ó„3ïOmŠôÄ9Ôbö+¡Ä_y{¨1Êè>4”ý»5ô4ÛÙ’)ìß­é‹6 ¯ÿÅ~¸e-¿»¯&¶#®S¼,T_,¯™,¶îºïYþýêPý¹[Bõ'^êzqö¯ ÕȾùRþüφz õÝm‹> ™†ØoOKðóšÛ¹”7­m8ûÚ”ËÜ‘Æ&öQ´‹ÏXa^銸¢ïòK+ŒË—ºç–>>úÃPìÅM™žjœ,Ù¨=ÑyG*ÿèPâ3»ów9†ýÂPc—…jCãì3Bõ)2¿/ÿŸð¢.2ýä4æÑüõÔ†›B½Gî|êË 5žy{¨{Ë®XŸ~6µeÑÁ»o‘¿+á~l¨qÂl_"<ïD›ãïsB5<~Í;úÞãšqåøîß_ñí¾ñùìE'Æ;þåxJäÙÈó[uô5Ñöäíµë8^õÍ¡~‡,¶ù;Þ(O‹ý»÷ªPïdXh;þÀ46Q¢òÌÞ#>?Ô½ ?ê¹¼ŸK4Ý’àüã4N‹þ¼ï‡×w×F¿&ÏK<»ûÓóZÖCCÝK–cJ7®cyðõûäÉ^]qM¨w¼EÙɱ¼Ø'ßê‘o·ŽÍ«¿;GÖÁËßÕÿ$”u£ßNx ç~ÚñÝÕiïÚÒg¢Žü¸P×zîZûþê¥MÇy3Â}F¨÷N^ÊùÅݸ}À‰þˆ|ó‹ ç…§Þêz{Œ=!鳟ˆ²½ÌÝwg…ߊ<îÎnŸO±“ˆw‘“¢m_ü ÝwÉ¢úÿÿV}÷øP×r.Km‹ã¶ÌC¾ Ôkþ?¶3ê—KŒ>ÂÝ¡Ä,Ÿçáq>e!ñùù{bªÿié7¶õóNŒ{”÷%û–ãO5–•bBÅ—àD?Ý‘h]øêh×£Ï uú­©Ïb¿F½÷ªÔƇ¥±ø€Ô†Å?8šRûž“ÆtáëûÊG'zßêºJî¯VwߤŽ¼çdyŽ‘|«²–´ÐsÅóWÜg?'TÝrnõ wmý‹k¹³‹o|Û­wMžMq­ýØ çl´Q¾ï[éÞÝ1ñòPã }çrÌæ9¡Þ%²ü^ýöPýðØw‘ž×¦»Ïó:ÁóSù?³Â:þôDW䧯Jízs‚}¶4÷Ýùѱ/.”ûn>øýi<¿òÁ™hK¾>”o®ïÊ¿ Ô3aÔÍQŸ¿4Õ„ºO)Çç¢nø•¾(û·¾;ÔïS-|sá7CÕéÑüPî´;¿è€ã/õÛXK[w÷Éd?gJcùãKR?-ýù¢kVZ¯‹4ÿ­µî™¯¹?¬ßÒþK¡ú11Þ|GX×C~.ìíÝÙ?ZÚsœ÷Ôä˜Èeë]¢å>¨Â¯Ïñã…zE´‹q,â|þ–PäáøVZvý×{¾?µë[Ò|-ösòMbû¯ÿ¿Kó^²öíñׄê¿\»ŽïîÞ·…z®<ò@컯Iý÷'Úü³¡Î²|<&ÔýÒ9ÿúPæG»½d±?>µ!ÎËž¾¼¾5õñóCÛÅ>]dél´©ÿ|…±Û ùâÙ¡®Dzï\TkÔ‘Ñg{c¨ûg.OmyQ¨ñº—§:‹ž<{¨ë‘'¢üd,Æ ~/ÔyOìϬÿžJa§“—19þâPïš9·â9÷·Ö2çþjX÷EÇz9Fx[jãiœ?"T£ùŒõÝÑ_H4Ç>_xå8Ú’¶Žù‹–ük¿+Ôuýdžº®ºŒáË¿$ÔXðÒg?cݳkãcBµ¿w„º®½è’»_•žzm×ÑËÍW‡r/æùßZó.ÿ¯k›wçʹ‘ÝwÅr¬3ê¯w„?F¨k[S¨{²¯™üŠ7ØÁþÆPbóqOÆ•±òšG®{Ej䣷¤þŽ~Çbsõò]+¬é­ g¤-®[.þÎu?ÊzЕ üó¯tìöd¿)µáÖÔÏ þ³q\>?Tqwê£×†§‰uîM}ýSÝÿúá¥é}ö5^Ê8å»y]}¡ã®¸ñµ©Þåk™ë£®û'k¿œÉv ÇŸ¿iÅw´ð_ÔW¼5Ôoå±Î1æ؇1®yìÎßQ”•8×úiì"/E>ˆ1ÌÅ·8^úlwÎâœÏZé(û!ñò¸ßç©a•Ã?kmkÔ§_¿´íx™3{ Ý3åð¡Ú€[ÜE7\þ]¡ú’÷„²Ÿäý§”—ý¥»Ò»{’ ÌûŠ–ç‡e»sg¨1‚óIg¤øéÙŸ «.Œ¼ÿðPîÿßÁ2åúé gÏ_õŽßG†ê3G¼Ï {ûÃwÿp¨gÀ¢ÍˆóïIûlo 5Žô ¤CsÌàÊDÓBûe÷¤òo\¿ù²ãÃ8G~XªcÜ?ª}YÚ~ö,ÿƶ~k¨ö>þEu_Ô•QßM¡ÞgüðµnY·É>ùP¿Mû@({¬Ï<1ÕÏkB‘æ(‹Î?ù2ú_7¦w‹?ñܧ$þàÄXEØqþ}·èýåDKŽ…Ç÷‹;ûOBµEñÝò|ùÿXç˜Gï[xë'Bõ‘~7ù³·¬uÎ~]jOô«¾"”oóÅï&_þ[añ°Pç89Fù%ꛯ ûëÜñïÝ¡Ú†w„*Óq¬ïNeyÄJ0¢ÿçŸj<1ùq7Ž% uoÛëÖ1ùˆ¯ õ¾à ëÉn?bÚ絃“sõØGÉÞÙß |ñ1)¶éˆ:)Ær;·ûŽù”püÛPï1È{[ʹæ²÷(Çcâï{Bù–w^ÇÝÝ…“Ö¾ÎE¾‰²ý{ëónmüý©Ÿ—ÿÏdÿ÷žPcÎܸÒõõOõN– u½dgg#ÎÅ—ºÛuXý“èý\¨ß϶8Í=ãxïÎ?->ÃQÚC³ûNÊËCÃEòý¾ÔÏß”öRE¾ŒþпIp£oç\ÑW\|Ÿ3ÿ"ÔXzœÛFžù¬Jû.žé}A¨þú2>ŽþVörìáã³cýwvå«ÒøGøß±¾ßé›8çþºPö0y](g&Ê‘æLoHåžʺñîû2±O"o¾;T/­Erœûô܉q~x¨±¶[CýæÃU¡Æ c¿ýnjû­‰'¾6Ôó*ŸêÞ¦¼ë,ºâÂφò œÝ˜.~ËÑï-ýó¦DïuSì÷¼Fzk(kýW?+Ô8Ü] ö ¡Ü{¶ÓK+^êçE©ì;S›ïe_g^[ÝñàG§ÿ—þŠwš^ý£¡Ú¥ÎÑRæüß]ãoG/Mxãø-4¿wí«£Wø{¡œ¥*g‘r"ûêPlÓCÕÁçB½Ï"–ñù/ uÞ²ØÙýÛP÷¢.¿çþN¨ßsº6ìK{ÁqYô¯ÿnw_É_J}uØ{SßÆñ¸3õCž3e-¯Ë|^Ú§ûãúÿS®ç‡º7$þýXªûÂ÷á¡Ü}Sxú/„z—ä•+¾ã_ u_ÑU Ï¢WÎ/:nÇsO\ûãx¡ÿò'§ºö…Pãr‹ü^õ¼pÚ¯ø +ü˜ÂzFd¡ëÜâ}K¨1ÐØ®¼Ž‘cIŸ깈'¯eŽþùÂNBÝÓÇ&­yìü踿൩_³>]dõèWd·îqu¨{šî E×îÎf>xM¨±Æ¼¶eå_®ýðð(SÏ õnÞ_MïoMðb{£¾=Ôûlûò·¦þ‰:d‘¹›¿1Á~uÊ¿7õý—†ºï%®G-|ïf¾#öÓKmKmXÞÅ1Ïs¤ëS½¨/^öçVy ô7Cýþhì“ãŒó(GÑμ!ÁùºPc=ѦGÞý’PöFíÎh>&TKs›W¿.ÕpÂsy“h'~½,ë·«ÓÝ0ñïýÏ_Û[îÄyT¨ú7öË B‘Õ2/Ë㸴ïBò³_Ÿb$'×/n_lÀuÑþ\ö÷XÅ6ƹÇ×®tŸ2•ãuþÂËG»ÖÛ­;Ü™Æ:Ö±ˆ§¬ã”Æí̇zçÚòÿ•ï_ûeG{lk´ÙQÞŸªÝù¡î%ŠöäóRßÅ~HûXv÷G¥ýiçc?=5Ô5ØèCF}õé" W|L…µë¯O uÿÍ5¡Ì¹Îd_ùÎDË­¡žmŽ´~Ë g·ïöšÔב¿"ÔµÇÌóßßûûrc;BõçcŸE9ø´PÏEݘãŠK\ñý¡Ü¹ã™lÛ—ÊdÝ™çó—…zÎhñEâwÓwkY_d›»øB—ÿ`‚÷¨„ÿNÀ¸&Á|n¨ñܤÏξ7><úáDßÃS™en{.òìkÒ˜½;õ݇jë#-/ Õ'¸.Ô9ìƒBåF=ògCõ;®õ9·§2_’žïOgÍcÆyuäÑ'†ºž›ãà·„º>óûéÛÉ·†²Æ|eÔ£¯ 5pC(kÔ;]ð’P¾ë±ã‹'†z'ÈKBÝ;rg¨sØ,³uí0öAÞû˜trá•\þæôþ1ëDÿíháó3?ŸÚc²•àÝx¢îâ×”ýé‰ïã7 "Žë£Ýþ¼PôÆî¼æ†zçÄÇ¥ÿŸ’úëÿ¤çǧç¿ê“i<Ï¿5Ô3bqNõËëwLw1´w§1Iû wcùÐÔ¿NZSÙxw¨ß¼ˆïž™Êýtzþ¡~Ï Ç!³ÄvGðù¡îçxð‰±?ê¹õ¨÷>$T¹Êó°Éz$Ç<²žÈþpž|ÝšwôïV›´;?”cs/TæºDwÖ±?ó‹C™{E}êô'C9ƒχÇïît`ìËG§¶dÛéí‰<þÜÿ®„/óBæÇŸŠu¦Pâs»2·§úQ?/õñÂïG96}ùëNôíÕ¡ž ˆÏ‹Þ=“ç±NŒý~¨²‘yç–Põâ{Cý¦L¤áÏ„GŠýý'hÏþ_ü}CúMëí¾rݶûfwög#/òpËEíT´ßQv_™pÇrq½%ÊF²ÝgþßPã+ê} çC]Yl×ñ⣽ä-‰î¨ ¢.|Bjsü½m¥ocÊqõB]·YôÍ™8¿û˜P÷^M¡ž³ÌþÏR¿ÿP¨1„«¼ˆÿãŒÅ‡¹áýë»Ý7tÿFjßcWºþGÚwŸ×½#}yNø´Dcì›l^’p|G¨öã¶ãŸu׃CÝØçL‘Æ u~vE¨:9ïº/Ô}Ÿ?œpD{þ!¡žáZà?óÂþ^Œ ‰‡“ì¾t±9çï_aýÚwLñÍ4Ý—~ŸñÎõ7•sÿÞwúû‚·}Nø]m= Ñõš÷®èïàªåÔ÷-¼ûšßf| œy’è†õA£òmjáL/žDõÔq}àŽõ7÷Ï<í?·íjË·¿¤=ˆÎ¾È/ ¾›„'ç¿øâÁüß}‡ß«z ƒcl7”Ÿ®ó´÷Û½oø˜éIÔ”¬úŽwÓ>_¢ož/àH_«ïÿ”qapÐûy:ÔLŸ¨ÿ»ú¬h|Zú‘]hûÉ5k“`¹–þV«~E;ÎùÙدªÐòót*>–Ìô!ÿˆàCüOé z¿Ãã|Ë7~ƒ*XO\<ý=’«Ö^zåEõ߈Ý+õPþ<†‹ð$ydi³ñ~¤ØoôŒ“g«ž+Ïj{¼ð ßÐr*ÿ©zÂéGCyQûø^½£ÚD/|¶Òc´»Ý¸"ÿõë<¦ƒôƒèGùÖ__•7ÄŒ¿ý(uôùW;?£òf” ³½lù«‰—¨íFzÖ#öÒ‰~[?"÷oþõ›ú¥È]ã·øGùæçñÌt úˆßˆ’Õ(ùêø=YžÉ¼%Yÿ4~¢¯Cãžéfþïèoc7h¼…Ä#¡ýDíDòIì-×R®‰ÃÉþ&â«y:œæÝ-~Bgw+ÿŒ•õ óWX=–Ìów¢»úÆxÓÿÝótð}W_õ·žw3¿É¯ Ô/0ú)m½.Ÿé_nžK9¤ÿÚqKþ­ç”c” ¼ùTí+OûE”÷.ŸøI>„;OáPBþ7¢Síg¯|Ð88°7-¼O¤ýàœ£¤ò9«ïåwúl[»BéAö`žN…Óå“8 Œg#ü-ÿ´õE^MHÏ@øb<…æ£ñnüPH‡Ó~«pà<‡Áí?uýè‰òÞ8ßGô"¼.g>UÿÂúm»ÓÕçÅr=!öÖoË©óyÔï`]ÂÙ,ŽÔ<3ýNúƒ%•ï ÿ –£ø^ÿžSá@úÀz­YþQûYÖ¯¢¾£zNô¬þÂñ{Vê~îÚ…Æunà©~•8O5ûyM|¥Îž²ù (×Á5ÚæÇÉpT=¬ò™¨¿=£ûLZx]ýy:½ã/GDôB|‰Õ/ƒÏÙÞexF}Ê쌛 >"å»ü6î,ŽW©oôËÚzð½ßPí€êwùJ¶G`?jyÆøŸÝ|ßéŸ2}Ú•kâå²Þg¿ó´GÔ "~ÕžS¿Iå¶~(ÚÙÏ<™è¤û0Qÿ·qRâ?uøÅ~éʹCp!ãù³ßÂà×iÙ{5©x½øºöÎÓúëŒS–çã´¿qþÕÉÝëîØÏÏö¿ÕÃm>Ò×m~k÷‘žñ·z¿Û—{qï9§RÀ)åÄuåö¹k›1}‚àªüAÖï»|ïù+c\™í[¦íõ;xÞu.q½–ÂqÚgßúÌä»”\O˵r“è€ð|6ô·íèò›öÃ÷€?ÕÞ°ç®~ƒŸÉu~†ÎY÷/$úe>`rü±®¼ºŸEÜwé!òKûak? ùéy<3Öõ§RSgÇq%D£îSeüŠú»]Ïií/ð3PBrïÕÇ^øm>|V×_ŒüèõΛT¾½dvßÚ^1žÞ¾ïÊãØÖ¤ê)5%ÃCrm”›¶\›Ô~Eøœ®YW¢z¼™Qº¬ëót¸œºŸýf¸í|”õ³¨J¾3NUèzƒFWuåÄsK4ŸØ¹.žöð³ýÒ^ÿ‚ŽÛžéÌåÁý2=ŒïÉ:$…¯êÀ´]Èo7êJ¡êSf­þ*™ÿÐúV>û¯ü._ôÐ{ȯâú¿ ·¼Ÿ§Sé¤ófæÇ´çWȺ*÷¿qÊ{q]ÝßÁ’jºzÞõ`¯½`ý€â¶ÈÞ4ë/,Q=m\ÏdðÑ{Xo£ù ­g<÷Oñ3}Ïâîè·=o:OûÏâ=/[õ—jïP²ÊG×oy=E´7ªý‚ô¨óC•ÈùDŸµß­í‚xÑ>ƒv‹qýƒâUõ”µÿ[ý©ÆGÛþ öâpظXý¸’߮ϳþdã8èàç8kÇ_Óá|6o¨Üyõ¨U.Ñú¢³<·vªÏ:õxWÞWwŽ¤Çh'ÔrªRñ©z–Áµò5ê/•ïá{G‚t¡ñ'çB:¸ÀßFxK¾õ¼9“SQ>ÔþlóUzP9VϪQRåE•gdºrÀ>3:]ð7ù¯]yuž,ö¥ožã'ö–ÑEÇù#Èþ\b;‡è0ëÇ­ðûv­vEí/µ|)§ž÷bó¦V¾ŒçÀÚ|W¶ö†cí_qŽêÓüL—ºîÍð’ý®DGÉ·î÷bë”ÄBzÉü°Ã/ê‘RÝ[3O‡óuï­¿Îy JÖõ¿ö}WÞz®ÈgSãM-<”ßÁ·ÆÕPÿÍ“Vè1UïÀ÷DžË3‹kûÑÓå‹ëNfû"úCÞ$û mûÚù [?fó¶ߎŸ1N«ÞÃãõ›Ê{ãùw5.‚ðwpÔø½ÈWlþ@ý!ÆO¢´Ú;¯_Ãìl׎y:ý½h×X½î½Õn8ù¬ƒƒúutýÕhº÷ªŸeŒßÉz /ºß“ìËP÷wtt¶øçéôò$® á‹ü1Zß<ÏñÈôæq@ûâ›q¦ô!ÿ„Êë…F´À!÷A2»ÒÁíBõºñDvÒ¸¯¬÷'¦}<Ì^¢ón¢ÝíÞ×9Ìõ­ó§¾eð¬|Bá²ñ"zÒi]oex‹¼Oëo{[µƒªŸ¦úÓì|¥Qÿ¢|¶ßÍm?QÜÖéO–÷`_ѨŸ%ó¿sÞé5ò/JÖùƒ£êi†§½—\¥‡ú‡È¾6õÌëxâ>‚ò^å'Æ7 ÿFã éSõ$«7È?°Ø9òÖþ³x4ƒc´O-ýí3Ä3O‡ß#ªÕ«Æu&HWû‹üV4ÿý#ö½‡a½cŒ‡tõ»H˵ôÍÓ>,>ì£Æ™_Þ&Y‘ïVµt@øˆnä7¨þ£øKé·âEãg]§Vãbj|PÅ Ú#—ãÞ°]í>ÚV?ªzéWc¿ÈùÎ8d§/©öêééôz¬?Åy«j­z¢<·ó¦'榼ȇêû­à°û:J¾s­-ßâéʱý¬*? gVÞúkÔ×]¹y:%ªwÙ<ôc©¯ÞGô>¢%µŸ©½ñî‹BýÈô9‹¿§rDϵI–o0Î]yQ® QþGç£ø­ð;|Æs˜æþç©>5~ÎÆÈ„ÛìÏDx!ñ>ÄÏ°¼¸ÕÜ? ¿Aò&ž·ëÞú»-•^–F×;ºÄy)‚×Õkü{ˆÑ3O§–CøÕñAï|«š¶Ò·îFöÑ¡ÖGßuGõ¼|ÉÊmm÷J¾:ßrú¿÷ûrV9êàû³¬ó?ñ»Ûò´>ó#Äïy¡då¿?*W~Aœ•¶ Í7Åx“7_Mòz¬sß~ûÝKéTõÓ·m{çéôòÞ~õÚwñ>*Úßó$áõK¹}8òw¬ŒëVÈ?rë&_- u˜yÚåÀ<^ù¬ÒçªÞö¶‹ÆÚßy:Ÿñ™[/l4žV½âÅKë—sÝ–kù%+}Ö÷åy4 ú³@ïÁõpħH¶÷§£8®8UõžÜÏê½h¢Ü0ºX¹aù@ò?O‡Ë©ëò­¿Çö´ùè¾ «Þ4ò³9¾ÑÚ?¯ W•_k¾u>³•zsÔÞ[õŸõ=ÅcÝÂÊ[çÆv¡Äð« ®‹X÷ˆí2Ÿ¯jù¯µ+Nþ´ú2<ò^”hÿ ÆSäu+g\Ü›ºö¡{]Ñ=lÄz. Åõñ6ÄV9íèö¹¼Ÿ÷ñ¹á;í#’ßî}û]'Ÿ©þ+ÞÚ¥­ôQ)?O&üåÙÚ „Çô”w?j§}´œqÿÊw¯ç}ªþ¥ðU¾œ'_½Öÿ·êC§_+—c÷1þ"÷ÖÐý(F¥Ùë‹|¬ÞÛTžçép¾Ê?ƒz¹ä3»ÜÊò+7Ògˆ^U.ºòÆý?´¾(‡ð·õ«ÀùáB‡ºŸœìãÞÊNBü—h=U½÷Òì£Õ>]ªDí·“Ø>pž }fz¸¥OÕÛª~C ÆéÈ<œÉo©ÇÖǽöDõËȼ½ƒë´ò¼V,O÷cªçP[|d= ÕGïUü¨ÄËø̓­ç‹ÑzÓÿF= Ͻù°}–Û9Z_¤×{Þp{D?ž%«ý³ÂuÛñÁubk|¸¥Ñ…ÊÁúÆý"(©ýÒ•÷öÛŸ?ÖâEI/?[íýÖzGõgT½ÅèRé“éµÒ™ßÏÓA8ª½ñÊ'Ü/‚Ú‘è„þ]~ßÒßÊS.‡¾ÓÚ Ûáå+&'Åé¬ùå­G¨ë1í8€û‘˜^B ú;F}ÑÖoá›Ïƒ#ÿì'€pDýÜáeó(Ç)ωNøÞ¸ž­Ú+ßÊV;Äô‘×ΩòÒÕ#ýÆè`v´”ëÊ2]ê|ßèÉ|"ò„‹Ú;Oéëô›ßʉ•Ÿéx«~Îè¸XãJótnʆÆákó»rÆñ@ðJ~Â+ÇÁóoûQŽ»ò¢¼C8F~C‰'*_žórw÷(tt¶øÑ÷‘bÝÄì‰ÑoE‰§Ì§ót:=âúŽ|¿PƒúG¨ó—Œvå»×¡ˆêú#ïwÍÏ?ÚÒgåÇ’Ÿá·åÕïdªýa¼ÏK’¯Ææé0>¯ˆ•o!qÕSùß›†ý¢WÍxÔ¸¾¸¯_mÕ¿ê<›é)±*ßÒÓå[ý1ÎÈR‘;t>>¿7Îw[»l¥‹%Ù.le§GÇSg rù=[?$v¬ƒ‡ìAk÷2¤çN›h²õ iœ±)ü?/ƒú ù“ÈfzØ|–ÙÛN~nû‡ùSèW;£ö¨÷r¡~Gð|9up_ Êåúù—ù1(nŠÆñYöûH?ø9.Þ|··¼|Ö½gã•ŸÙú-‰«¨þ)õ/Œ~“쟨t²ýââ|¾«Çô‚êª~:ÐWû%«ßQê׺úd^¨&Úÿä\-{öö'¤ÏªçÛßy:µ^×¹>!Ë%ÓÛót8ßè÷Èå|£ã\ø<ûm}0ïg©o±úHŸ”_ö½*¶¾bäO”üˆøݬˇøÔï\yŸwÉ7úìßX?BxÞþ@ëN£ñØy:ü¬ÚG«Ãð7qYâk೤ú%¨‚SÇñâéõœ|ªÒÃèSË#|j¿QzæiýÏsQ}ÜÜ«ò³,¯â<™ÒÛðÉVã_òYÜHµ'í¯õ| ‰‡–rä\MKznó¡Ü±sAN»ÉÊ•÷$îlŽï9×G¬ñd­òeÕ‡p~¦ÒÖ“Ð~NoüOm¯:®b¿¡z”kQ¾GÛá°y‘¸Ÿ^¥·¼÷~÷Õ;®ª|;ýyÚßó´þªzÃxŽÑ‰’ _Ü×Ë;ãfa#¹Gõ½ç>¯>SõT›d¿@Õûè­S´ûãšòo.ïäw”d½†ôb¢«+g?4o+õÄø1zVó!?£ø°Õ¯\gÂüvqˆHŸuþÈüZïºß<ÄÛ=ï'hûÂ5êfϾèø+ý"|Ðîˆ÷ü¨Ï¨¾Õ/¢åÐ~`纅×>¢rpüXü—ø›åÙyNËz?k‹ßŠ§Íïà?Á»§ƒoÝ!ò5zfåÞ’äwžÖ3§1Ÿ%³ÞcëÖ꼂ùÆö¨~8Z×Av¦<§zÃþ©Ø¯,¿«ôPÇâýùßá]g4Ê¥Õ¯ìàýRÝ˃ô¶7rÆÇÚ´Y?‚sAŽŒŸÕs„ŸUþTñ3¹bå ¤ƒìí_ª‡Ù|Y¼/£M”.&'ó$ÁU¥3áSÏ1 ygzÑ× Ùù'¿¢{„Z?¯«¯ò _4ßå ä³ïS«ýe/`¿ ]ž÷é¤ãÄè!|g¾ßÁè·Ð÷b¼¶¼ãŒ«ÝPçEnþýQ½ãF¤{ÏîCr5Oûtyí¸º®4ºßB¼ß ¾ûùº÷ͽ]-?ÁCɺžÎ=ÐÚ¥¹ynË縀s´ÃÎø ¼7HìG™>²®Lá!ÿ Å?À::Â×áGve£}m¨|—?Oû¿¢>Dxà³ÕN©~â‡6>fÔ‹Ô®l½þêìWŠŸÐÏÊ¡z ¯\ž­g‘s8}ˆ/æéTzU=‚æwÖ$˯xŽƒÅqFùÑl?ŒzªM¨ßY<=·ùòþ 7wÆ=”¼öⵞ‹fãŽöQˆöÙl­úJí/ç9ýŽè‡ËzržN¥‹ÚA¤'É:IW^ßò›í¯ºù#l~o¼GDn/Ñ«°¼êç¹”N§Þô¢õ°m˜^ëþ6Äl͸ï€%:fvŠÜGñYãwj¹Ößhíº¯Êè±øgG'ØωúÂcëNH_σ·ø(|®w\Q‚tgºØ>TæO!»;xn·ƒ§Î§QüŠÜÃÖÂ¥x‰ßÕ•góçw-;<ótð=ªOí‡Óex >gœµ+7OéòÆóÌz×è¿Zñçø'+ÇòUz¼|b]ߢÏDO1ü-Š‡Ð õ'Ù¯Ãèéêçû°Ä?R“º>4ÜÿÎ8GG¯±¾,ïó´þ6ö¥Ãoìê? qfqQ£_Ù&æÇXÇ–cí4îó¨ñü‹ëµôÉ|'®{ª‰ú1â¾~ؾ¶>¸WÜ*O*ý¥ÜDø,.a壽†ßQAßE|üf«–õ¦x¾L½·„%«aüÙå³y˜Õ~!~o÷3þ÷…{éT帼7ŽWÎ駪q‘N^œ~¢î3SïãíJô;Ôª]TÛ à›áXãõˆŸÁ¹3¿v•r`½¬¼òo· þýħTÿ ;Bâ¸Ö{;¼F?Õ§ônuþ€ÅÛ}El<~ŸY¯¡þÌï›ù¿Yoö'ˆ#ËçÑxÌÓÁòŒ~”Ïú‘%&_-Û¯î+ýd«<Ð|¶¿Ü©`}6Ÿ™§ý÷d:¯S×Q½ö¨ƒ£ÆûÝJ¹y:‡õ37²úä;Nm;¬ëµÖ|ÕN”gO0êf=Èþ–rl~áäóŽŽy:õ=¬GôWÞiG)¼y²áÙÊN5ñQ”ä~Qý{tîÉ9ÿÑ>b«]€åæé0^1n#—c~³SEùæ}tót:F½ç¢þPù¤”GrJV=2¬¯ú—y=Lìo úmrSÛ_ót8¬»uðÐy*ãú–•Û÷-^ë}]}Ô¿lÏüº¶Ÿßó@‰ígl˹ϡ9幫o<'m½¶ÔkÇ«ÓêÑ:.÷Ë‘yVWÎ+ÏÆ}Ptœò>£¶=â}.¢¯ËGz`ž$üpß#ÛçÒÂgò–÷ªç­¿Oª+×|7¨ä‹ñÉR>Õ÷ú2_êôìÅÓ×Åýçy’ð”|¶o¿Õ·ÈŽ²sÈ¢½PãCæúÞþý/Hã“,ÏFýÆðÉüì=Â#÷£:Ï×[8tÜæétúÐ8³þBqMë>ñ{<(úC%žç{í¹ñœŒÔï,n6Oé)Ϥ]rÈ›¹Ÿ퉕JH/ r,ßçWõ+ZO—í¹¸§«‡ô&é7yýqÔ"zÎÊ·^€âþ3‚g•3ycžöÊ·ó5ªò|¨…cÕ‡hý™ÙÁöü:÷9ꯩ~‰›ÒõCU·ýàÕ‹è<¢§ýmÇ ÑÑŽW.ö‹µãÈÖsIœÍjK}U?¨ûŽØz´êß8ãÏ >­/úPÅó¬ÌN :YB~%*ÇôÀÖþPK—ùž;P~”žèg ÷¬=]}q^Ëê3º(Q~¬ómõ™ò—Úl¼Z;N¾ ‚àwþ­Õ?0ÞÏÂüÚ–Ž¶\K?{VýY³žEón6gûŸ[»­Úu_±S?2>(åŒz@Õß¾qþ íûþ«xnÒiÜ'ÌàwxvõÄö¨v„ÉO)‡üTUß°rFü]~;^Ä£üíÝÞÞ¤®Ç‰óƒÓ§dÊ£±ÄOìø¨ž§t²ñe~Q¿ËúlžN‡ËÖÅÛò`ئ®^¦C<‡ßâkáv¿Æóz½`¾Ìè„üŽú5ûIèŒÞ<Îw¶Û¬_Q»ŒôP}l´/í3WÇìïXï›õˆÚ_L/”ü9Ñɾs,Î;©œ8<µ½ƒvŠÑAéBþ8ç¬òEOå0~\pþëÙ‹ñ Dõ…Sïtð[¾V× ˜Ü«ë³ÆqDù”_ÕqõÕkó´ÿ^ôϺ|qž'ÃÍt©öÖhÇ ñŠuÜ _òú÷„C©·/÷ë1øAébý6OáYáv妼WçÞßܤGËzÔtjý–.H§ÑNzù âñ(X~4þEø¾­WžQ?ÌÓ~¹ôL÷í–õÅi?¿•'užE¾#MÇ·=_ÙÖÏtf<ÙŸhém˵ræ,¾Òò½8ÿiSÁ[öÛNë™å\µ[û÷ ñÇJ¾8¯†|9Oûï›ïAÑý‘Æ}ÎÔµã˜ï—nùÝwÝÞÏÓê[àçQÿñ7+7O§×Wù2Ãõuyßê-Âï]ý–¯ÿB•‹îýôwà|Eµçƒü"ÿ¢8Ëʳõ(dÈù‘¶~›TýÓ–§~‘ÕŸ²Êâ&w„!=â<´ÔGç«Dü¥‹û2b+9Aþ.‰“šÇM•;ä··pÑ>Ææþ±Bo.‡Æøߥ>º´­×Òƒà‘x|›ÜöˆØ ÕRÅïÜW&Ë·Q¯µõ¼í•åðƒgÕ3²}oñÌÓétú;üˆï‘ûOÍz=ÿ‚y<¢—щð¢ç’Ͼ¬Ž'ØG\ÊÍ“DŸÚŸ¨ž,WhªÕnõŒ/ñ§ºòÆöQ½Êì\»ŸP/ÙÇe:`.'®‹Ðy“zNBg·1úy®F!ºU:Õûä÷"\u\˜>gô±þFx¨¼‰ñÄŽn`_^ú ü>7½—éç2J9ÄÿFÿA”ÐütÔ~°ï¯3:­üåüÊp~„5ŽØÕþ­ø¨ù¡Ê7L/@:T9öò'KŠßÉOñ¼«JoKŸêOuøÈ>…îW=ÿ眧¶‰ÆÁZøót°>ƒ[ò›ûgØù¿Žï•áªq!âÑ~§Sé(ùª_-Úû®^¢òªgõ[GÇ›ÄuÜzLÕ‡êý ¨ót*³þ$ö’%¸þˆøE<_bÖ¿ÌþåJ…ÛÑÇüC1.Uíöt¯;^+Ú”d¿€ío󮟫ú@”ooܺM*\„gTÝëâÌ/#úâïåÙi/™èʱ}N{íÖ¯ê|“ך§ýgc¼Ò'Ž«71êýRθ¾UÅç½'§ûMp^³ßd\7aô±4jŸdÿÖº®ÇÆó§ó¼|žN­‡ð–綾ˆ¯óÛÛ}øÈßiðuô9õŠw~éÅ»•¤¾÷êÕ’?Oë/ê'b/¶ÏÖ³®çÅÐN4ô²ñfþK)Çö3´~B;ÿãg4ß¹.ªÚ÷®~¦ÿÛOª'³þiû_¼÷KÞ·#ú¬žºžàS¿ˆì£hñÁg°/ÎÌ—N¾¦¿ó$•ëà[Ï==07µÂëèJ멨>ã3ôÜáQýdãzC‡G´ô|;÷‰ø¥­'ÞgÁô0«gÖ×ÌT×KQ\‰Øa³°Æœ÷P@ºÔû’Œz¤ƒÇæý@>Z:‘ž£ôÏM}vÏ âÿÖ?a÷ÿ«£øK,A=¬ò¡jËùòi¯<„Îíªüƒ’ªK¾7má”rÍydF—ÙŽ3¹fü¤Ú-²¾€ê{ùÇ:ßEü£Ò¥êJ²}2î¿fIÖ'bÜ‹ÁWËwxÑ~ÚV®D?¨«ßêïö|ŠGƒ~ƒv€és5žð²úN¿šµÁ“å„ÑAð2ü n—ßÒ—÷‹óøŽUϪûEXòê#T~4ŽÁè£ô¨û@ýC÷Œ?‰íPË£rfÖ©‡Ûg¤(ÎÓaD¹ñ¿]<£_g^OSõ ø}ÁR¯µ#ê¾£ßWò‘ÝvÚ–èwßÐ9w1~á9û­Àcë7F½ÄêË~"‹¨ü*~Ö'þ *_ž™|‚ûAËûöܳÊïN9êê‹í·ÒÓ&Õ?UË«õ©g~Í<í?×ÅÍtã|.«ǹáGáµê+*ßćãÎyÐ~Tá;õ1ÂCóEûhæ;uŸ ¨Úûêк$£¿óCTþV÷óYïõ@ô÷ËËz§ê·ù_Wߘʵq *'ù¼Ñsj’õé<í—SןœzXõC)´êkÿvõqXÎØÿTþ6Ž÷ r*œö}yéµÊcWO]ïb~¸÷<Óéà´åçéÔr]½öþ^Ö ÝÝ{«Ü‘ó³ê¸´t£{ÉQ¢üBÖUGíLy/Î/ÐøÃüö^ܶA¼®·µt"üª¿ ú->”˜ÞñÒñ êmô¾ÍgÉë'@ÿ­[ ßyZ›{ »ßnË×mý¶?ŒßmŸáo¦ßh_©¾0ÚC–_Þ;ý5– Rõ™ÇYé…ãKôò¥N²\Šë8Öy9£ ñ› ß*?¨\ÉŸ§=zd»ÉÖgTŽ{íAKÄË~Ѿ7Fu_Ž3Þ­Ú¡Q{FýãwÏPRéG|!×cü8OL¿B{"ž„ïzUµ°_Ôû›Ôõ§=ôê?ˆ‡Fùód£C78÷G ¿­+o·ü>}?‚ú¡^;EÖùåù­µÿÄöÃç–N6_VùÌj÷Åý(VîËEqòüÛîãß-GtÉ|ø*Ó¡ê鹡×iÇ =Èolé¿çžK>YWRõtÉã”V?ÕGÏ,¿ÃÃì0Ú¡ê/«ŸÌôï¨\8ýXŸÅÕæÉ„_ž_²qSåØG§8/Û¦O¢§‹Ÿ²uÒ6®BÖ3}Ì/GùÝ/['aöŸ~Âä”%ä§uxÚñjåÍkU}Êô:9¿Àâ9l˜HåUo8ní9-`WÍt©~”¸_Õ§å‘}3ÒϾédçìTûoågëyUöÜÂÏMvt²~CñÄæ¼XWžÙÏyZÛóÑì»Ý­œ¨ç]U¿•ÅI|ù™2>ѯ•ã.ª>oïÿ@ö Ñ7OéPýî/¤Cµgj9¢çT;€ð—~çá©ž!~çeíï»èê?–Í' 1®ñêÅ®qÝÑk—Ky5nÇìº:Þâú_§ýæ{#=ò¸1û òzþ%k;T¸¥±KžÙœ§ý_ÖŸV{hµû"•™îô’µ¼U¾¬ùŒ–_Þ_"ýÇéw¶Ïóõ ãS·_«Ê¯Q°áˆñR¯žSã²]yQ¾;ýÖù¬ûþ;? ¬ÃÀxÁ×–÷Ö‡tsl^ýc—QýÌü+~ñœ?ÂSžëÝê9„—Îå»{Ïæã@îèy¿w®_uô³vxõ˜‘_Ø}l2³x¾è«ø­rØÁ§Sé zP”S™~"¬­pQù._´‹(Qü$nàÈãf½÷èÅ®¼ŸVñ´ úDßÉðD:­ô«úŒú @ÞÚg«¾¤r–ß; Þ§Ÿó7¿ úÙù 5>Ïô/ÏðÔókàÜHWŽùÍ„~VáeùŒïQ9³}4ÚÃ.;÷ Ž¬/úuå=[¯PïM2Î{Ô_¿…‡žY9+³ú”çyB:îó´þ}€èP×Û]ê<Â!qAX~ž$::z‹>ŸNÏ~Ù|Ghá4ßÁ€z|¯§M4þ2Oéïê³þSã]É7ßûÌæÉbÜ¥}Fö^õÓº|§Þ²Ögú—%µ|éõܛסøó»Œú¹ã3pžŽ¶G\'5ûq¤_:¸Þs™lÝe#{kգݳ:`ûÔD}5Ì_ÌŸRùÙc%¶žÑÑ×Íÿ/¦Ï*-Üy: ðIW®­¯®?dzÕïF0¾gq[u_¡¥ï¿%*¯Ì?#ûÒ:<ót0ŸÒeSx>¬'êSÈoÖuu>eŒ;tt£õ3Ñ¿(ïçÉ„—áaIö[½ö×#¸Vûí óëU;ô†`Jª] þ€ÑÎYé±ÚÅ–•_åøò¾y:øÞìϵ¿â=«åYünb)ｇÃ(·f=«ÆÑ<›—ªÅõ*”ZûÆü;‡ÐAóU:¿ êóχÎ{]¯½/x¼çŽçéÔòr>9oˆô,*Çð¢ò JÖ{%º|q½€ž2ò¿ Æ/˜÷Á›ýäwö2|Þ~÷ÆŬ÷(É÷¯±ùû®§1¿£“Ø Tß:ŽÞA}†è²â)Ïót8_µ³büÑ×å‹|Úêm«¼{ËÁgqÜÙ{ÕþÞg"ûõNº½ÉÚïb7T:¬åá{¤ÏFã³^~Ýد‘å‹Ä'J=ä×€u0„%h—T}£Æ±²Ÿ“ëYõP†ê›í¹º^’¿_Ðœó€íCãƒü²жÑötí2Ʊ:ºÔq篞yÚfçÔycºçµ+§®gü¢.¯kõ¡õ<Äëœ?Xß—gã¹¹Ò›Æ8¦ŠWW¢O;|âúN‡Çhº_Õ¾°þ0¶·<‹û}ºò*ÿªóu½ÅQ|CûÁx¯Ê—õ›h/˜žbë+¥Þȇêþ}bW¨ÿ$Ê{.~Í<†£Æ«Œq-~GO[¿¹ï–Þ§§Îk¬qzq~°U>zo–cñ·­GᓸN)×îûnõ»ÎègtïÕ{»œã¥ê÷ö™úÁ¢_åMõ'Ôõ FŸº’ùÆuH”¬v€Ž[.×ìk*ïçé0Üœîó,pA}¦/­ëV?ímÛ#΋­rÆže¿ªµˆ/q4DOG“âWPüd}Ñ åP”kDܧ¨Æ¡šõ›6Aºv¶-gMLÏ©xZ½áMVû.Ç!?ïƒ|Fìë§Q{gÍWõtû¬ÊQû¬~ÿö_†⃥¾q?+‡’j—[ºŸ•rb|“Ò3Oë/Š7¢õjë~@µŸP\ÙkqÖsÞƒCéb÷ÕˆpÛ÷Pÿ8×ï:øƒ~µ™ß~’¬ÔþS×yÕõô î±n“Y£soÞ~E÷yˆãˆòezÈyJuÜPRù‡æ³v‘8˜J—J£Ëªß \5^ÆäjžöE¾³ò™|Õ7³ò5â+†—ÅCÅx«ªQ2ÛóyÚŽ¨oس Ÿñ9ý.,‹o¶ÛZÞê7ŒÒæëå=Y¿îà¡ùÛ7Jäå«þõ|;ü§Óë#¶µ“LŸÇ•Ýÿ¤òÂÓÁËß½k~Y¢ã¡úwLÛ~˜§=ø0–ˉ~Gû õü»UOšõáKºNe\÷ƒôd2O{t°ïpZý%FGynükH¯:ÞF}é²ÚaÂW]yc¼ÑKW‡—Ùeg»­þ])'Æ P=ªÿzº{o=çkÜ'‡ôpûLáÌÓéïÙ<í+É¿Äÿ`üùct=€¬{–ú¢?kÖ3í=¸Èß'|a¥KþUÏO öÎk{äûD¼öÒöúŸê<„ݻ䠃CÚ£Ú³]`~ðJjÿ•òó$Õcò¨ÎÛ ?çK¾È÷Ìî·í²Âo˳|¦—K9Ô?ÎspV=DåY´3¥Ò³ªžýÈèFã¬òK*ߣzÖqdÏVû‡àQz™;ãf{â7„¿Ã#úÙ ®l_Y¼…ø¡>õüõÆãPÊÍ“ /›Ÿ{Ô§øŒvÅÚ/j²ê#5.Æè3óƒ3n+Ãwê¥òÜÄïJ¾sŸ¶Š·Í·®› Ó+¨þ¥ºƨ§½åÔüòÜêv_»ñ¼J›¼ö½…oî_õÞ>ƒ£Ò¥ÖSßS¸âþY¿×Aºz NÔámýp1Înn‡qÿ „oœGÂßf¿¥G\Ï*¿ó¤ÁGãëã·Lß@:U?EŒ×›íï¨<ÎÓA:·¶>k¡{IŒz ½—åÍ“É~FJÏüÂæ÷,Q»/ö§ú\ò™þaüîµD¿|[í/ã/ð™Ù£y:µ\wo“süFï¯,ïÉ~£6©ãXʳ¸aÖ3h½Ä¹ÞÞò-•çy:ˆ–g뢄oæ~uÚù6©ë3ˆ~Oô»:¸m»Ôõw¦À>jÏÄñné@ Ù½Ñ{Àà³q½Ò+Ú[«]–ùÜÓ¡úMV=(Û{f¼[÷Ádxà|ª÷Uþ`þ@Wž}7ÙºïŽëŽo õE¿†ÑÝÁ³ê=â±þ€ð›{0åø:Û$ÆkºúÎþ)ù¿lÿP>9oÁž­þ‰·ýí3”q?A›d½ßîwîsië#¼êú+ÃÓÁG÷ó3øm9뺋Ñlë_²çy2á5Ëõ >6Çã\ÏÓÁü®Üàxvå^8jÖ…(ÿŽîs1Ú9µ„Gì¹¼þÌøÌß >TžŒ „cÕOÈŽ‰óNÙŠþ¤cžöŸ|•ï˜etªzÕGô©‰ò¡Õß·ž_Qõ©qœ¬û T¿‡íÿèòžÁó+×ÒÝýΓŽ³uÞ„àçûRœöÀÚ¯.Ï2ý Ú'f?ºòŒNÆGä>RÄÓ‡íw±T;çåG§ü $ë‘y:/¯ê;Xø(©òl_vçøGÏÕxåJ”O•U>dqå–vî­Ã#®YùKm¿L—ªw½ñ6¦÷LyåQÕ˨ü¨ÿÓ&¯Ý£þŠëu0•w<ÄÙ»rj;šõ¶¾úLñ[ÇC,Çèƒú˜²/ˆßüÚÕÛÕÑæßθoè5¾†àu¿â½?,¡s9¼”oµ/ìÙ­WŒßWQëÁqœ§=: |UÞˆ_‹ÊÑù+ÐO*]ùyÚ‡ÛÎ ò{+ÜÖ. =«ÚãBßÅSéPïQñvpTøó´7}•ÆÑÐ<(ÁS“YoªúÄh¯¨?ô\WÞ9?,åÄxh —ÁA忳$ŸGãîTïí +çþ. ¨Ë}Bý¶ÿD½‚ì=¢¯Í‡í@÷̉þÂÃèÛœ¿…ÎýÎÓ©ô1z˜Gå™^éð1þQõ“ºÎLƹūú«”¾­ùÁç¦òM죙®T¯ä#¹ïËèð0ùIjùšÂµú=ªÞõ"ʧ~GŽ+·ý2Oñwíå(ýíø%8´³ãO›Ð=C”߬ýÛç»x:]^9·êu´ÿšÈGG§ú#Ò°<ˆ‡«ñ’n^;Oûpò³5NèýŽ)âõþ/Qz×Ûdýf¼'§ÔËû3Ù:šñ·…ÓÁÝ*.$ö7-oÌ¥£­Çßh§Q}ª½ãÉô¦¨Êo:…à[åYõ+¬ò†êµt[ýµ>ô[f¯ÐüF<¿4ìY×Ï? ¿”|ò‘WÊ_$>ëqBôËó4ÕO$ôRºr &yߧ˜o¥k+¿ƒ•“ýF§"÷HZÔH!ÿÜ«ˆü04¯Eò8:NŒóÅê1bžöÊuýÐÞ¿Ìôº·m£sV=Åò5©þÚþî=:¯5Oë¯q†l÷3|2ÞO›¼v¥ƒ#ê]µÝ¥þ„½Wí wž¨Î³!=â¼Ë Èuy&üˆürØ~ôýâÖ&ßñØJÿtô¡qG홧ý|¦ßÅþjñÈðâúJ=bß5i싼N*Ê]·$ʼO‹œ“kó»ú¤ßÍ|Úô3¥£íg²ÿѾÆl³«F{„ðºíòH{J>ÑËÞv¾ŠäY•f'A~ [ç6®«!:è~Ûy:n5ŽlìÇ6ŸáEød¿BÕFyèÞ¾0ÛuâG@ÿAœ±÷Ôý¯¶úÇôœƒóny†ñ¬‹‡á9ïàxcy”Ôur«ì×ö\oŽÌ7`}§+ùâü‰ÅÃa}1N é÷ñ³dµ_]íþÖ?F{…ê©~J^}£ÖGøºñWù ñxN»¼'øPR÷ zV¹õÚo•/d»1O§ÂQ]'@û^:;rñp}²>$ûdÝ¢kÐÏÈ_…øçé`;Úò¨~—ï«‘ö"<åÄ3~D‡J/+×Õcç{­üBúÉK7´;*_ÆWþòŒè›§ý|´OV]÷$~Õc¬¬ëÆ꺸¸¾ñ€y1ƒù•è¹?Ã;ïÓÇðwðQ¾xþöŸ*ßóa|ÛNrnÀÜÏŒ¿¬ñmU£|¦×¬ë{¢¼Zß#ýÒá<_©Ž'ý^ÛïfÜ_IåU'‘Nˆ‡ð3ÔKŽŠ¯Íwû „Tüå™è«ÿ<þží_1Æç»z£~¨:¿#盬 ñ—Z¯<£¸ˆu=B-Ïö³‹þ%”_ÑŸ,öE¼ŽÁƒõçiï·{¯Ò«âk›yšZ¯+Çâ^êy°y:Xžâχ”gò.†×;ÏîèBvzžöïkòQ¿‰òÖчæñ-=D.½ó›NGÐ~$7ÖýVÿÒ(‡ÖúÞyµ ÒEô |¶Æ¥Ø¾Ùy:L(Ào-Çè)ù‰³¼“¸½l/¿[ýª—¬~%‘{·~íYXûÔsb1º *ÊE§ÏéåU¯P½LÚß&Ø^Q?#¼¬¤cPþ:¸ÆùëoV}°«§ž_3Ò§ÆË3‹vT_xí¿™ŸHÜ¡ÓÆõOÙ¿²Î;T?Z\dþ|›äýX¨Y|‡Ü{DûãœèÎú­§«ûÜïkÊçém‚ò‹â‡`žb•YÞTþPíh_Gç<íá§ãoôº÷È.õ/§êmH_[>ߨʻÕj¿Ûûkæiÿ7Ëù>—úoªç2|doE¿§”Wý#¤7z`½V¿‘yP ¾ן]j²¶‡éˆgžÃõL—Ïüsõ<3ó3ˆ|·üÂÒè|´kwƒ·ƒÛÚ¹¶Ÿšú¯ØOVÁwÛabç¨>×EFÛƒòÕþ3Ç-|;Ú>—ò•ø<ŠOŒk¶ø;zŒúÂú^Í/ïÙù&fçŒþeg·ÿ éuê‘®œS.½I=Wë;õÛ¨ÿ û{ž4<(NÒûÅÓáˆûØz¤›¿Ôýâz*32}.ÞSÙâ7Ïw­ûëÛï,“ù;¢¿ÍGåT»‹¼çIÕó¢?†äÞ|¿QOyõìçyZIü¡ƒ'–W÷Ewt÷¥·õ!\æÿ{÷g Î::­~“(/LŽÛrˆ®î{* žÐÑKÖIºòHάqVµž³AÉëo¨ã§Æ‰a}ÑoCðX>*g–£yÒÊ“} ŒŽò¾‰7Qú[þçHXjý$„—ÖGò ž»úâ9Fߨ|XåYMPŸ·ûvü!Åñ ?¨ò†ÆµÃGÖod¿©­7Ûà2?áAå`}¶ï™ù‘9'>.Ж7ú°¾sI¶ÀŸ2Ó!îDô1ºý|äw¨þ™Q_·ôÐßy:õ=‚+ãíFð¨\8ÏÇ"}è]o³Úõ½ªXBòäµO‘Gê zÄOGô úJ~”í™GÉûçs¹·íT›`{çé0ý¢ß)ó·ÓïRíÅc\OŸçéÔ÷m‚t¨ñCk»òÆÚ˳sdÌ.ªßE@zØ/`ÏÌÏÕ“”/Q¼È—AýÈöÍ£ûD|?’è/;û¿ó[Ô8.oÔ;(±ñdpYûË3™oÀv‹þªì§ÌÓáz¬½Ný éfñ5ïùµÑñP÷‘3y1Î_Ê{¶Ÿ µožçí·ÚOVxˆÿP=„GöÇT;¡ò—×héíè·Ú;¢wéûìÏéÝCƒîÈõÔþñÚõ„§£_õ3H´©ã—ÿ(ß ýöýùšøEm~WNµŸÖs5—j~b¥{ÐNÉãkµ¿V:Ø{bgT|,Áö³{>7ŠçCºÔ{°ŒþƒÊÇ®V‚y­¯¶‹ÇGúsо¨Ï\pžIÕ·.’£½×3 =.Óçb{!üÆþwïYÜ‹ñ·Qÿ±¤ú=¬^›ßé%ò=/>ÄGäLÕŸ\2O¤týTÒÇäɹ/‡%¯ƒà¨ë<°¾‘ÿëwOÿíð4ß+)ï3½ótž®šrŒßZ<,1½¦ÚCW¶“ˆ/çI«ß>Ï1vùFùDõiüHÜo]êýÜ?¤ ñ“S®(¶.k]&çJ}ã÷;ÍúÁ;ŸnýŒf¿ä+õ>Cfïšsy¾ª¿Õ{MJ¾ñüryvú5Ðßô‡¼|åµWð;_¤Ÿ»|Uo‰úÀ¬ïçé ²_aܧ á¨|3:ßTãó£ö¤ýrN雧SéuûoÆz-}.[±öƒñÂ5¾÷âg~[ëw¨ô1º©?:O‡éSí·5^¥Æ ZÿKõCæi¯|ÑÙž‡gûvˆ?nö3€ßÑ&xo¢7—C|×Ò-žç`ð©bë–ŒND· ÐQʵóIÔ~„רG;úæÓñvõÔóþ¬?¬þY—éî«hÇ ­Ÿ‰ûÜ)}¢–õ¼q_³›.‘?»|$W¢4j?½~#¥«í_ç}y¿ˆWGpæép¾q}êu£ýµ&ÚN§¾A÷;1z·òÏ <ãyqJêÇn$·êø¨÷oQ|ä>5©ýÔÒƒž[¸¯¨÷ÔzȯBõÿÉrÓæχóe¸VÿÍoœýÊÞ«òë»%óݨýc÷Q1?ƒØÿQúÍúHŒãwï‰ÿ®&ȧhÞJöWªtx×¼vâwêau=L†Ãèe÷?1¾´úK켋QïP|VLÜ?VÊ·q#°¯¨£S´wª>÷î‡,õ›rÞKô}P¨oþH©oÜ¢æ[“u=Lõº÷â:´»beÔ?SãC ^yFðÔø ‰ÿÁ|£êüt£^ú“NÖy¶<ÎN{£ÊGWo£sO(±ö3øÈnÑzª}çLŽ˜_‰¥ŸÈiÉŸ§SázåHÕˬËWQ:FûǪŸ­ñ45A½Iöë¹õXs^ºÔ›§Ãt yk×í¿j\7@xÕ„ü@/œŽoÅsºTO©÷-ˆûRÑ{”Fý3™£ÿEóÁ}^pŸfË(‚Îeyé´Î#‰ü·õ\5YáR~Ô¿æ~ãªÒ­¾GÏ%_”㮞u½°ýóãó#­ã¦Æ›Ô8õ ~€öͨ—è¼ÜiÇÚ÷¬ÊüU_;û³«Ïä É%Ñsðœ½zßQû,åŒñÅNÎY<¿ùnæ¨ñý¯Sn!}¢ÝµÚ3–Ìþâ[ïý¿ÆïÞÑö#9c~šs_aG_sžÙl/í|o<·Îðt~±7>õ‹ó±ö‚ujæwÐ}x¿ÐÕK¿°žÓ®upŒû8»ý4ÈoQ¿óšçT¾ùŽEÁÛÈê¿tïç ¥±c¨ãkY_ªë]Äìê%úÊ3ÙŸØ>3°í‡¿ØŸ¬žÕcübößDþ(å‘UïƒFq§ÞoéêÊ!zÙúšèß›ãD(´îÏŸ' ¿:¯“íïèúýàþhØ||ð¼pW]ß5ê D«ß­Ã·ö­Ó‹ëÔoi÷í_—oõ?ÈúN—oå[£Ÿ‰òUør¹nsqýýeh—˜>ßå†tüjbñ*¨·ˆÞ@õ ^UæéÔ÷<ëºk‚/—÷îbúíƒAó6nÖxØ ?¤ú³j2ûA n`…‹à—|²¾Ýáå–Ñ'Ë![—ãÄ*=ˆ~ôÜÑ1OØþT¿ƒ«ú1ÌŸ5žÏî/cÜÙ+]V>@åXùîýFý/·é©ÑõšÌwMüŠÙ³–.Õ®›é4úm¨Üæç­ Ÿ”zÎù†•ï<.­×êkô½'6ŸVí³“^ZßçíÞÏ“V­Ç²ñRãOÄ~"¼V{ë=‡ÅäžêU0φpÈ9>ù¾P§|[å¼…ÇúÖWõ}ÓO*œòÌø‡àE‰ù¥ìYæ3±\—߶ÜÏ ý²¾èõÃßYùÉj·­rŽ’ÕPéBð!ÞåJµÛÖö2ûæ–kqÿ›yß ‰CÿÁ/ööS—ö£¢_p¿å¶ÏDå÷|_¬uµ¿í÷yÚ/×>«r>¸>g]7ap7óÃæét@ ¾ì©|`½gÜ«¯Eÿá›Þà£Ãªç¼n_9àG¯ýôúí{ôŒ’UŸtï7^÷.Ïó´_n±©0½oìµ¥ü<¬¯Ú µýÝ{¶žæä›aüÆvµû­zΪgÛ÷Öòæó d¿;Ó»ª=£íq®ó[õ³u>RÞ³ýrÌßlŸ­û/Úg§@ úYè{Qê8«vØê_°rót¸Ê7Ê}Wλ~àÝÓŽC3O€tX÷ µ|øñ­¨|wñpy£^lÛAá uÊÑx±¨FãñVyjá—g4¿6îTå¢Ë·î™§Óá‰ýËò)|çým²=D|Eì¦w:.¢WU:Q¹.‹Cµû·Ù}‡ ŽÕ Æ ]j¼KÕ·ÖøŸQvù̯Wù@Ô‹hg›T~…ïU¶‰_2:ºú¢ÜZá¢r²Ý°Ú%°ÞXžë>2ÝÆyNg]Wdt#?‘ÜOPÊåJÖ÷¢õ==îàˆëó]=6®êz ;Ïã<Ç{ƒSžïÃAçHÑú „÷†æWô3  ß0¸ªÝpÊQ©/êõÒž7~Oé ñJÖvBûìRyoÝ7¢Êñ;!$Î ýtãýCŒøµwžãEõ­ñ(q¾Vò3=„¿Ûd^/PéoóÑ<É*ùûò|rk=$Ú¥®¾Ñ¾Áz¢³ýľÁrªüΓÕ^´ÏÀ?EpÜù-~òÝmºŽÇâ»m¿7ß…÷Æ/¡=´ÊwÛ5n’ð1:Û÷®¨w¬ð(üy2ÕW“:®P¯ ¿u0ÎI÷ ×[Q;T|¯u½‚ÂGßÉezBå#¦YüpÞ§O]?@‰êÑ/„ðˆÞ“ëµú¸íWr¯YGÜo#Ÿ÷ë ^†Éá„g8ß'Pé¡øçiÿY½¯Ë¨ïؽTêüJ—ÉúÑ«¿PûÈ>¦R_”OVúm»Û8’‹\ßèÿ¶õÑ{ôgû¾<³û1˜=héíŠ51•ƒðý­맶¾ÛÞý‡ê«õT}Cñùèà¿þ=§Â)õœþ’×0ýÜÂÝ·áM[ÙÕ^¼d&ã ë!„?Ë¿HÏX÷SÎÓ©í@p(}ÆyjWŽé_bw!}ƒû“™Þ‘é`þ™çQ8ÌÏhûwT?l|ïݨŸ¥â±¦ÙoÐÖƒïçi!\4ÎÖùckªr€Òhý®žÓ>ZùE/•òót:]ÌŸnêwôåUÖ_Îùƒ¬ãÏYXõ(?ãz,££MæþŒoÈtÍ“Fã_¯_`|fðJ¾º>„ô¡¸+Ó9Oë¯8Ÿ£ü«Ú ÔNuÿšÑõ/8ÏàªI¾OPìß¾s]µƒ3¨G;x`?Ë޳|kÜX¶CŒ>²^hµm~‡|Ú cig\Éê·°8šÕ~Éz‹áeëû£öU•â_Éþ§öÞ_3O‡Ë£ýÜ(.GÚËç]è=«å]ýVÙù®ü B8à{²Œžìç©ú–úWÓJÊÆú²œ¶þió=X/½å½xÿÊ·ÚOsÿÞŸiô§º÷L4ãÃè` êÝQû¥Ú“y:ŒÏ¨Ï˜¿ÖÅ©D¶ƒÅ¹æi‚×ÒÓåã“ÞrêüšÌëd}¦Ô3ŽÕKÖûmPüwžöËÍM9&GÖx´Ñ•rÞ{Y­rÂì…è7©xFùu4™íϤõoö—ÿ"ÃIôuó¬œo”çö}WÞ+ÏÀ–÷ƒçãFý‹N‹¯…Ö‰[úÜq¢‚gŸŽ®>9'*ãcå­ó&gù«ƒ+ê[öì¾çÉ»/´;>Š_…o¾Ä)¯(Ÿé‘K·ŠOMÖúò}V~`ó'ëzõê¨þ#ícðÞñÎÓúÛÊɼÿÌà•gbå~‡ö|:XŽ®«û·¢„ê!ºQ9F—Ü¿ƒúžÑÁè±Ò ùÏO.ï¸VyfvŽOžg5øK9ã¼ò!»Ï‚Ù+Ô®v¿„qß*jJ¿Žè4ŽCyVý6ã}j2Ë[{?šÑ®A¸ ^÷žñ ê?´~§®´ú»½ß×j÷Řý6ŽíúsÝqãA;@ïé#rÖáƒë×O-'ûÑÎu(ÆÿðÙª™1z­ëñótðYí7ä?–zƒþ‘×nÈü@ü.WÝä–ØSWî·y:•k¿£~ìàf¼ˆŸÈ8@üÈûæÐ>Zª7Ÿ×—.jt£~fûÅ{Ìó^ä?‚öwøœþ_¿¿a:?ûî›Wn3_°ß¹¡ŸÉÃ<.‡ÆŸìŸ‚ý.~§MM”?Ùú5‰û–òdÞß•GçúŒú©£W•Ñ?£r&âƒõEû…Õ#í8ÏÓa:P¼H]—jî­ëè@üÁâE*ÿ0yo÷½¾WŸQ’×ÍU}2X®¼gç¯Ï9SüªßÞÒ1OËAzˆ|³zŒ>•Ž.?`|g¤Ãú}„§ä;ϵYýkbvÖCþk‚cÕÇg<•§ø˜_ÕòÝ`¼“Ñg½?•ë×/Jð¬ú²Í—éK÷]£r2\ãþ—¶žN}ßÁazèOd‡ØyÕ®ttæ_°¿U=G¢æ·ï[¿££Ï×íð°~7žBð‘ˆð28¨õKˆ^³âkóa?‘u̶ŒÏi'(ó´þ¢}8€/ÌxÄý¨üè¸Ð~Bû ȼ³Ž‹÷ù]ƃâþíw Õø½ßló­åh}rÑêOÐþíoÏé×Xñ!¼Öxt÷~žöŸÕóÁN;É’wýŽù2<Ô¿`ŸTcôß:üó´ŸŸži¿·õÔqÇ‘Ú•N{jÕ+j’ý¯6^Öì“lñwt¡ø©5¾Ââ_ÍwM½ú¡¼W÷Ïý6¯¢pX¼‚øm½òLîIRõ¯eû'Å{›P¢t8å Æç}ºT¿ªä³{¨ùè}ùûe»z¢_,ÇŸÐý+ƒþ*Jæs°F½jÖ*ÿæõóVïµç Ù>"êð¡ø—Ѿ¡ÔÁUé'z²ƒï]wRåÅu—rót*](uû(ŒúËÜ¿H¯ë£ÔñI«ïŒqøO‡_´ô¾ev¨ƒÇ浨_Ð÷¾"ç’ ^åñ%´ÓÈÎêaöÞì7">´ÆƒÚþ›§ý|Fð·Tz;úÛukÄïÈ"üÇÚÑÑ#êQú·Vû¨¶›èû.ÿõï ‡ÓwÝ~h«ÿh½o(ç‹øäù“u¾OüïN?±ößŃõZ|ð9ÃgýÍî‰T­qLfß­t°ø’+ãü‰Žƒñ¼í¨ÿÖâµÞ;lµ+Ý/À×ÑEì:¢Woª©ÐÓ®{£{ Ð>4OÊp²\¡uçyÚƒÓ½÷ŽKKϼ¿Mf>3ö»Wë1û¥ê¡.²ƒàÞ^׌ß·÷©¹åy«zy¿²ÈG^¿²ƒËü:²%*oà—áañ¹ÿÑ93Â%_=§Fì*ýóÄ–>uÜXòŽoÉŸ'^¦T¾—å‘ÈÊ'>¢³+?OÝÙî:å°£§í?²ß­Å‡ò™ÂzÈÏlý QÞ 1.ÜÖëà¨úÁè'ÀúódÂ;Šß+Gn~DvažNÅkõ¿¼vÑ]_qö?*‡èjå‹áµë´3D•O÷iõƒSwô òYG?ó_çét<Æsݾ1£žƒ¿Þ8§‘·Ò{Tÿí KÖ¸"ŒÃ{×óv ÁE‰ÆkŒ~ÄãÔß]?’ûIU9é6Î/ÐûŽ^tߊnŸ½gûêãK¿‡8è·tåFã,EàÃzê/‹»ª~˜Ú¯L/ÎÓ],;Ê°ùîºÕ®wx¬ñ q­ƒüšyÚƒ«ÊƒïÞ·ñ[ãúõ¿ŒñqjĸC[Ÿ%jç½óÖ·O¯Oî1dôZõGG—µ_™½§ý_#?1;ŠèóÚ´¿%ÆÇ´<ã·ü³¶£§«7O§Ö·Â·úô}s¿5Ý— ®_‹óÙòψô=Ñk¨>Å·?BzŒöEÖ;lž)Æ‘ÕþDùtÝžLx™~cÉ­ÇçÉT¿¼wÞ—¢&ÙŸtêE+=\0/-Ïâþ³>Pù‰œ'Tõ Ãʙù¾±3å½uÝlž—Wá;Áü o||ëx—ªŸiûúTæ1>)ë/´~–Þ£úm¾×/ ý¥úEF=nµ£v^öCæIªÏÚ¡ê7«\uåÀøµød8V»éíïy:¶Nï”ïás¯ª_*έÏÌÞP¹ ö …g¥ÒKü¬RožÖ_²žñYí8Zß1Ž7O&z­‰~÷•Ä±dþ·Þ7îôS©ÿ`Ü‚à´øäñ´ÚuÝÃü3£=±ú9æuÑŽö³ÕÞ¨vUÏ·ãËYýŸy’à™õ™ØÏè¹£­[´ô€|HG[ìO‡t‰ãkÏÂzêþÐy:ŒG䨯[½žðtðÚö7åþ’ßœ'èêµt4ûV`yU>E}ÑÁgßÿUõŠ1¾ÏÞ»ý6o7ÎCÕùUW?Ñ…ÎMRxª¼©vǺ^Æüd1>Òái÷kµxÐy#ÈãGÖ1`y£½èèbznðþH×Vþ%ãOÑÎzéµûL¯¢ûû Æx– —Õc|ÔѧŽ£óÞDW_TêCç|T•–¶’k|¯ƒüVuþñÏo0þµÚ/U2úÔ}4®†èVý¢y:?­¯êuÕÎ#Fô“à>uÞ­î³ãd „OÆò ûNÁ`|Îw·æÃqÊøÔù:?Íå6Ú¿èÕû£z¨¼7~ÇWÕ˨¤ožÖïʳßA{]ò=ˆ–Tù7û¢ýCþQÛß,Yý ¸/ž¬CÈí¿wìFGï<íÕoávå­z[¼Ïȼ>JÚËæ°Åý"°ŒûÝj½ép9$7âz(Äo3Xõ´4òW¿©‰Ú Q^;¸Þõ\ÒOòO‡éýxÕïhϽÀríúÓÏñúaì=¤‡Å_Œñ 7?’óÅ-}õþói?_õ§Z¹š§ƒõþ.ŸÝ/Ú©öKû¾<3ýé]/3î¿’á:ãb´ÝdüF/-×ÒâŽÖ}Æú왶 ÜCÕ>[íl±k}¤_(^£~¥xÉ:6Ú¿Ñ•7Æ [ÝcÈú“ÅѶêoÆOÄÏkëupZ¹µîOiçÃõQòÚo«ßfÕ« ?„3OûùŒORy¦×]^ÿCäÿ/¸¿ÁëàÌÓéϤ'ˆúÖgTù¤Ã#‘ãÕ _©x`91Þáäï“´üŽæÃVüÆõH'zo]o˜'^´¯q¯¨_ Î ã°_Œ~ £K]¿ió½¨<¬w‰ü¸R^Œ«ªëð—êûV{ÊðtxÛ~Îvì•÷¯B»6.oôƒËsñ³.„Û•Ë¿äþ}„—êU£~³âƒåö²”Gß‹ç½Uù‚øŒút39˜§=<Öõ•oÚž7©öŠùSݯ¸ïÖKŸZOõo`üŸÅ—™]$qzƒºŽkŒÓ©Éퟓ}µªgãSÊÍÓAúÌó1¦ïÀ90”†ñÍÓÁò•ž‹§Â…ø\Õ/nŸ™Zé›ãWýL1~ÝÁwÆç[¸²_Kâ’Ð×™å|§ý”Û‰âÕót.È'­’ê—÷,Þ­Æm™?ÇÖ Á¸µ ÂEó®Öÿfv„Äó»ßy:Lh ßWãEl]Kµ[l~ÆüPu_ŒÊú‹àëà3}ªÎ“‘^œ§ÃåE:)¿ï0Àþi¾€Ê³|†§+‡üp£ì_ˆüeæã\®ù~±ÙÏ1Î;;üÎû´dá›òÌîE5êÅî=é?küÒwq7<'xñp~ó=zF_yFã¬òzÎÎz/ÓF=‹ð2¿Š‡7ÑqrÆ9½÷ÈtmäŸYáwxŒ~Žž Ç/Sá«xewžöð¢{¡7îG¶&Ùôê;•­çÓçi£‡Ñé'ó*–߃ïõ쯈þ­à¡xÑïÊ1=íõO¬û (1>Wù¬<#;ªÎŸ[xódÂßæS|-|ѯ@xª}q?ÄåÕq“ßN…kµg^ÿ[…;<Ϊ>gñ=ç¹y&¯2~°Î×â3ÓCø§ƒCöqCzýÑÒ­&ù^¶Î!–SéTíaÉgñøy2ÕwÓ-žÏÕò{ñ^W]?!ö¶kžç·ýõ† %«ÿ£ÂCp»rN>DíWéhÇ©¼Œ³Á÷Æù”¹Å8ˆ¬§­reôìz÷ðŽ—9î®ÒEì2KP/µú†ÄŸ©¼‰vÌÜÏVùd|4O{pG¿ؽg÷E‰öÃj‡P2Ÿg!ë*¨|÷^äoW• ‘ÏÊ{°ï±¼o÷´ëdÝÑYñOá´DéwÎ[eøªü0~B~7Z/@þ ZÏiß·õ[{ÜÊåà}’l^"ûñHîس¨©½fz_õ¯Ð~bcÿvt0=d”ÿRŽøÏm9ø^ÔS>5^‡â5ªíw›ß&oFÕËOç‡ÌÓ><§EëÀ`œ;x ^÷›×;É>„’oíw°OÌì§8ëÇ™æéô÷Ìî0}ÕÀoñ°¤êMky¨Ôu…?©ù˔ع'µ_U}jµê{F‡[>×1‘èÊ©ñ Ôót¸>9?*둶?TyÏtåòìûÙì¼ÕoIøåòÃñ®×Zífy÷ttZõS;ŸnƵ%óýˆ_»xñÅÃùÖñÛcõ—X}èªvÎj­ý²Qœáéž›s2õ>%«ü´q¯VVùÙ‹¹ÁÛ>Þ£fW¡x°5ŽOäZG´õZ:;¸F}«êk³ßaíy²Á±ž“ErÓâ5ú‡%_ô»Qy·‰Æ}ž$zÔñéê%ønp¯E{h”oÞ’Ïâ=b¿uår;Dùƒ(1:»râý O›OëýûRO<÷JõÓ<í×÷±Ðùyk×À¾¹_?=#7‘؉.¿Ûm´^Èž©ýkõ¿¿]oGÏm>’{X^äßV/vðÄù.¤Ãk¬û3Ð{g¼¢”Cú¡ÓïÓþ3â/«¼8ã%²¿ÄÎ]÷¥¨vÂJ'Ä7O§Ãgë´bÿѸ¸zÎWõ£¬ûhH|âéTí)«ßÁcç$Ú_5¾MôAÉ·Æaót˜æ—¤z>Ù¯‰èèòÙ¸£¸ ¤|7OëÃqÏO Dý™ü>ë3£¼²s~myD]矧Ãtµùí}o"=%ñ ë?f'™ž4Æo)ßÿ%Ù>ª~‚¨Ý~[«]°âuÓéŒëVþ¾x¸žê—ñ¶ðåòHß‹þÕãb|“á)ùè;WˆOæIÂOí}‚SžÙ¼уâh™N`W\ë:ªu}ºÃOú–Ÿ§Óé!t#º¬å }Fý`…Sʱñjýã<ÜZ®}ý˜n¿ÿÅýçA;#×g÷I9õ–º¾aµÛV~’õ+87‰à”üöûÆyZ/á‡tþPñÊö 9g„è°âí~ÿ‹v éAª7Û÷lŸ„ºÞÉìš‘ùÅ“áµåÕób"¿äDß«r¡ú‰ótnÓŸ*V;Hõ”³_­òÜ&*—l¾ÙØ£’Ïöy×GíœsÞ#σÄöÈëdƒ=Ë刾]?AÏ,ÉþšªwH|¡Í§ü%úÿ¬^y?OëoùŽëÅÓá _c<Œ­ëzã§è|Ü÷0O\ˆùUL~^j~°_ò…ïJt±äÕ‡¯¨OhyqžÚÕïúšéÿýb«ß3:N²Þbq /<ÑþµpQRí•«]7ÞƒÊYý kbvŸòê£~#ú éͶ¬Çö™ý´ÑûF:|l_ž5ÎëŒ÷¡ñ¼á0}å½8ÿEåexV½¬Ê¡u¾âÔ‡mrëãA}ãâþ°’ßîóCû³T¹gvÐ[ÞƒuGÙ?·î‹cãGüâ®<Ûÿ)êY¼qh5Þ5O§çí^GG{>ŵDûÐÂ-Ϲ>Z§·®ƒ9×G`þ<,gõc::ÿ±} €®Rßx^Ò¥ö»8n*~ˆ‡éƒy’à˜á“õÉ<í¿ß#bxJ>[75òm‹¯Ã/Ê+õT¿‚³cñào0º­þ¡{üöEm—÷\k‡‡Ä›Û„è2÷‹KYã =,ÉúÐ'—WýQÏ—òÆu\†oô½•ºr(nÿý5Q½(ž×Qõ7³ö“ûç=ñ}OŒw¡äÕÃ*|Tú7ÈÏcú{«õøVozã"G‡—ùÓ_\ê£ýèœá{ôÜÒÛâG òÃ<íÓ…ì™xo‹êDZ8œU¿1¾ëÊûMá:õ37Ôßr\Ó©W¨Ýrúam2·CõãÑþ‚vœEÈêç´ÏÖv¨çtáø€¸JÌ.«ñ5?sêO–äïÌ~(ùF¹¡ßãØ“ñ3û(®s¡DéÜ_Iù˜Ì_!|æ—²}u*£>ó&70{¼‘]ÛJ_Ž/»×´+oŒÿ©ö¥Ñv«õÐ{³>ô[X=™¯U?†ÍÃÈ|Ñ:žmýò,ÊÊWíƒ5±¸ƒUÞ[¸ˆN6¾âx0;§ÆU˜¾@þ,÷ót:^_߉fãPòÅyB‡×*—¤]m¿ÏÓá‚ ¢ÖãD\q߃•TžÒÕŽ£ø=v«\#:!Ýl¾Žâl^©®ß?Ήܣz%ž¤r|´nÍâ-N{Û•wÆq»÷"?õñÅ‹ûõØ=?êwIŒq£rŽ ééfÆóŒr_žÛñ÷‹µýBË©óÅÖÝQý’ïõ—н‰F½ÎøÔ»o ƒCô%,ô‚jŸU=Dü®üFëOþyZ³ßÓÊ%¹ˆÂgzCì‡RžÜ¯Íè@ã[ê!?Ùº?Õ÷T×Æ·í~""7 ®õ·À3–o“Ì_hŒqu–è8 óµV9~Ly?Oá²~èàבJ}6ÞÆûtèüøq*}Œh¾ñ\õ}¢²úÅm~yFßczÏ*ŸN¾êÞo´_Ÿé&‡>‹#«ëÍÄŸlë©~ˆ5K×cDÑݵƒØ¯®üà<¯<³{·œëOjRé§|ÐÞÇ:O§ÒÃôJ¯ø‹÷ë“}ãfù6Æ]º_ñeu?á<þÞé7Q¾WçYN;ÛÁ›§Sébþ ¢Kö{Z9BüÍî ë/*ý¨ÕÛbܸMt=‰ñ‹OµÎ[Á:I/d©=7Õ½gzŠœkó帕˜O훸ϑá-ïѹH`WU:~yæ\ßå¼zÌÇ%òkõKÍ|dÛiµKÖzTæépùnf¿\ÉgúÌ9Ïcïé8×­(žy:—ú?dÞíýÞL‹ÑÃúÃz~‰â)÷<_\çé <«7ÓMÎÕuåz Êÿ<Ðâ|†Ê•|cŽ+7 ¿uœž®þFóC¯Yê¡sõF¸^ú»zÖu 7&ç1˜œAúæi¿¾OVçͬý¢ßÇÖ Ú|5me_P>Ócm=§¥›Æáçéð{'lÚŸÆè¥üa䣶¥ƒÌó<ä_©þ$J4NÂìC¦ƒù³0>Èï[Å!E½‹Þ«úk3=ÔÈ¢ÏJW[Ác~‰¢¿›ðsûLí ‰_™ý¥ôÝi–TýHá×á:üÛôÞ;o`t!à¿!þJÖñApÝý2O.¸,¹Ëî5—×Õh¿éÕ]½Ì—ótj=¯>‡åÅu—’ïÝG@ô ³ãhã¼$ÎÙ¦ÑqVá¨ñå.ÍgÉú€Ù^lä¿¢ç®|«§½qrö,ú+m}µ\‹§<7ó\«ÞG‰ÙU1úU:a=âÇ2úº÷(fì6ï„ræÔj¼ÕW“UþJ9t/“§#çý =N~Qý%ö¬Ž¿WQ;P¾Ù`ý·—÷^?Äd{„ä‘ìS±ö7Jf»,ò™µ<,×Îw@\áU“µ]¨žYÑ:lã{å¸ÃãÔs^¢Áï[»âf]=$‡­Kôu묿Äõ/ÔŽRùó€Î¸ÞƒÒ¨-ùÀïFxT:X}+Ÿwåˆ]Eëj<•Åý…¥¾zîNCõ H¯Yõ>zo…·Ñ<ÑgíOë:BWŸé9ã8Âx\~?O‡ñ:`¹3¯ƒô6tÐ~fþšs½•ú›Æó0.l<ÏÞÂCß @ôÈþG §ÅSìgÓŽ®Ó©ô´ùð9ã·ò½Ê§½™öŸ^¶î-®Û«þ†·_K~3_7ãÏãÝÆÉ7¶‹ÔVéãuÿã´_ožöß·üâét_€už@âlÝ¥+gÔ÷PO£s¹œ¸®Ö>«öÓêw |دj=d‡Ôy¡Úä>ZF§7YáÈú(Ç“æI‚ïm/ì_¶ÞÒî×ãr%žN-Çø¾å/ãº&Ók¨^‹ÂwÊ!JTNEýáo´Ÿú_d|K9ÕΡúótêûNy~Ã~þ¨~fõ»ü&]ÞÏÓ^>³g¥ºÊIyï]¯gñç&Îçš|DOK”û O\÷FðUüæzV?Q-§Ê#âWë~ÕO&óóü]œ?·‰ÉO‡ÇévxE½Aá¨ëÂÆõÏŸ5Æ_]°Ü<íãeãÂöÕ¶ü„ââþ «½` ¶‡ìÇep>j/™Ÿ8OZ9fgÄx³Ú,Q¤}û)­ëj>éo׺OQ¦[ì_«Þ4ûãd†Â§ÃtˆqËö=¥£Õ—F}ìkW|OQÕG>ë:©j¿Œr¢ò=7ç|³Ëßx>ÔÁ'ç@eywê¥Ǹ΀Þ÷ztrÁgzQ¥Ã=îÌ.2øb|D•S«Ax9Žnä뎞yÒè4ÎûÚ|–Týn…Ëðyõ/åGÖ_ÆùVÝka6_“ùZ\§é굿ót:é=•wT.ç#?ù¿`õ*GÖPbý+ëaDß< —ÒåÔǨ\KWyfqlë¾.õždÕõ¦¼û€Tþ5ê5oy OŸyÚ/ŸŸÑ¼Nå?‡éð“yr)oœwYí+{VùâñÚ%¶…êÍÓúÛò=»=·ënh}žôk“7zïÁ<¹ð–÷Fû ß[ñyƒëFûQòÙ|ùoìü>/8NÀ~²ï_Êò«Ê_ý‡àuù€ßá=ÃƸ—uò°AÖ]»úâ¹Oˆ_í&çí¾¹y’ê·Iîßv^€öG×! ¾öwžN¥«Åg•”dÿIŒ/z×7Gã %ŸÄmm>*·µBßFå­tÉvMåc¢O¿ „䀕GÏ.—®¾zž õëJhÜeùbz‰éIÕ¿Tù¨kÏŃï™>²Ê £ Âiçiÿ¹½· ù1à‚[ß8íTƒäŠìGãZ⹋®óž¯±êÇŽõ¾0¦¿Øzò—vø µIî¶oŨïT:ÔþatÀ_p=¢£Çy:ˆÕ/ÏÆïUB:˜_♎îA»§–£ü?OûÏN:Úòåù€Š§]ß3Λ;øót8ŸÌ3»òƒràå/+3½í[ªñk'_"úÚò(þ©Ê%£C®'~w¡”Ÿ§ƒpÙ¼M†ÏÖþâ•ß‹éëèת÷=°=í½jd>Pêý¶^ùÏýAùhë«ó}ÄÿÆuÍŽNäẇá–ú¤|‹á-ù©>ª×â…tXõŠHŸõ}yž§ÃA’ñ‹ú—ÒGø€Ök寱ï¨~ÉWãOÆ{Ý(©~ƒužZòçiÿ}óÜÕWã·âyW–ß•c휧}:и°géMTo#½Dû[å§?ô}fÂjy/ö¾‡¦~W¯¹'¯ÀÏðÚûÂ3<„­G²÷¨ý$®Ïô(*§ê—ÎßRõ=³Ã¬Ÿˆ<ÂòhžFÖC™žVÛ ß;탃è`ýQžÑùºyÚ{Fô gTÞ½^gŒ#A:¬ëØ„_Ûr]=«oÇcž$¸PO«r(ÒÛÂéòUúŒx­~"«7Z¿kºïÇw𮫢ñ˜'ôžö;ßÁøÂxÏDŸÜÕ•Wý“y2ÁåŒã:<Ïí ÄOì *OÛv0A´Ûm½¶¼šXû»òÆy½ÌÏ¢¾Õ‹îúÈÏRý©ÁqG‰ñ¹{Ù×.nvñ0|bŸU¹¦t‹ëîݯ8Ÿëè²ÎEù þƒQuï~ –'óéRÏI£õJV½`.Oö[ªô”÷íyE££v¥‘w\EÅclÅÇüqýCŃèDz¢”s®?vïÉúŠÜN—qÖoé/Ïót˜`BwWÎ9NŒŸÙ3¥ccýŠðuõĸË—ùÃÊ›òÜž3Ê+Í\gêʵ~*Z¯V×-Œôwô¹èè%öJ-ß–ëð9ýW½·áÖâЖ§úBœ¸H?·ý5O‡ó™='÷¼uô0½ÚÊu¦ËèW•rìÞ4ÕÏÉt úK(ÉvG¢ów*“s½,Évužö˱ö‰çËoãouç ¬ñQ£^¦|6¿éðãn¨œÊÿV©GÕ^ý0Ø"uøÁ½ð»NÎøÙO2³ös÷žÝ âZ-üò\êM&ºd¿ec?`tœ>J—ê3{ô0k/Âé r_Ê3üé=Ãï–¶¾aœ¯Óñ4Æ{`;ç)r>â´•ƒã^r?¹WÔKd_u)¯®#"ýÄæ»ÈŽ©q—yÚÿmë³}iE×hw:<à{lâOcœ£­à£rˆ^·6O§¾ïðŠö½ƒgŒãŽ&Õ.ÀzÈ3öwÉ7úom=Ï;Ný¬ú'^?ÐìO‚} 4žKô Ó¿²ž`ñ¤ÇÀ=7(1}Àö?Èq «~azŸ”Wé1·Û¸ß›áG‰ÒÇæ;í½ÖVyWçëót¸[Çïý€íµÊ;ñ:|¨¿ü®òGWÏ8O/õqúòÌì,:ϼÑo×2´ñŸ ¼“8AG§u]™•×1Ûú>±?h=ëye£ßÔåõ,‡ì(±k ¯z‚kåWùÙºNBèB òë<^Þ«\7?ýÙî¢xÈoñtøɼ·ƒÏîeRùQŒRûl´ûL¿QºçiÿÙºoZµgíýý€ß©¿ìÔ߬|W®=ÿº=,©ý¬ÂaÏLÿAúÔónÍ8«ýù]ô{ʳÑNÑõGDhwT¹êèbqÂv=”¬Ã©ãAõ<Ù§ǃéo¦_çÉF¯ÑOQS7~âþo«[åÙ-/ˆ_¬÷Àyý±žõ=Jl}ÎW7öŸ†÷§턺ë‹üÈžéý6ªÁQý·•Ÿƒ’[ø^ßzÏZÛ¿£ç©ÛúÎûA(Ýâ}Tî­vJ§«å¬÷‘}-~Dëß®»'§]ol÷Õ°û-ˆžxT»ì\?éà²~Dr€Ê‘xé(ß²zå½1ÞÛ¾ïRýétüÙŸœ'¨?ûä(ßuTU¾~ôÒKøO†gÕGF¾’ãMÌ#ò\Ê·øZ½Dö³¡¤ú¬>åÕoaqÎy2ÁQõ‚gåç–ÎK¿åCUŽÿ’x ÂGñùKõO¨Ÿ§îgPåÑ!ÎÓ(¶ý:í×'zÚ,OD®J}”/ÆGd{Áöí!ù#þ%]Ïêüž}x(YåÏÝ_$nÔ•SýMã>¯®~ã'vï‰}oá |?'Ö_°žH'¬Ïô—× ósb|³ü¦úÈoBqåËõÐýJ[ÝcôÙ¸Áþå›êUÔnôw5ÞÕ¬?uð™_Ûæ³}/Ö¸ ÑPï‰qó6µçÁX}¦¯)>ÑžvõÈ|Ä›XœÀ­Gg .Ëïàýö¬Ž§yœ¼Áu3ë~ „%¹¿¼ë6F½IáŠ~„z>¤ÔCûmĸ‡?×›§Ãïó/‹û²õµ?ª\uø¶–bïËs»^©Þ_‚øñã¼%Ê·ÖsDÎFãô?ó+½q$£^`õå_çük4YåÈje?y/\ø^¥­×ù민ü@áÌ“D—z¿¡<~ÀNuxþ\©×î'dóbïÑsÉ'ó,øl]·%üFýYÏdøÑû´kê<ìKëÊ‹ë(¡u=z5óÙ£ êw"'Öøk3O¾ŽO/žúÜÑÉÚOðC:ÔþRí²>µ£N>±úA<à/0üŒ.–¯ÂïúϹŽÀð©|ÑÕ·ÆKÈ<¦ä³óŒѹ`ÿeú[8N½Å’l'X»Ey†toVåÚ;hù*率§½÷%¿õÚrâ~2Ö³=kèéà“ù¯n—¦Sߣd¶›­ËægÈÿuöÓ¨÷ô‹îshèiá!ø]>[_q{¤Ÿ ÖÿÚ´•¿‡’ìoˆ|iÝ_@éÛJz°ÅÇè3Ã5ò%çòƒ•¾®ßÚu"²Í·FÛ‡èg Â%r éEëF¹Tý7¹<‹ãˆókòö‡,ê>}ë…ô;ù •·æËühô;8ÖõyZÙyþö»Bà;ÉåÝã#® zû=wxŒó5™í¶Ó®B¿B¼Ïˆâ3êˆÇx_Íõ"ÃcÕ“û>Ú¿*>뼕w®—²ÄƇ•·ÒÚÛâ‡ô Ú Ç?¡z|£}þ<Îwê1ˆÇig­óH/Yå ácýÐÑA¾ß#ëY¯ÞAëùW]Fôµqn°_ê/çx·å¼û:J=v?´‘­ãgÅë[÷ŠzT­g¥‹ÂeóŠy’è²êÙ®>Z·²Þh]ÏGóFu ‰“[é¦üʱû}¼ç-E~/ùó´ÿ,ú±]>²ßƒë™ ÿ°]há‰vÏ«·GégðKþ<ŽWôß¾Ñ8n÷~žN}FpÚï¢Q:Àý}t¼˜|ˆþ!¢âý6T¿äÏ“¿«'Î?¼r€ÊËö—ÍÈì°¯—*©öŒÂ\ÇñýMÖ¿2>õ{Šh  ¼]yñ(`Ÿ~yÞè|>ów¨cë"Æù;¢‹½·žcvÃ#|²U¢~©Ñëàz÷Óˆ~²•)ê8z×5E¾§pÄø(z¶ÒÕæ[ß›ã5­þó.„Ÿ%yž¨î;k×»Ë÷o§ýòÖ}uª_à]—U×±˜œ‘uqØ.QžY»h<ƒ­g€ø™lÏœåÌq>5Îîeêê‰r &&÷ô¾·VΑ]'ó-ùþ–c/]Ò5!üÚw¨ãgõÇPRù¬<“~•ñ‰~²Ù]¯`í7ê=/(yý4 W¼_Tí'ZÞ9þ£|žÍó$ëüŒìêÊ{BY²ò9ªg†«ÆEøÕyب|£dÕæöõ• WÆ?O§–S×%¨öúa³Un] þÖvÙlgœz@†ÇæN·}ÏèRá1¸,™ûÃi—.µþ¦r Ò%ž{´Ú_³œ1>cûœrÃø%9Þdô«!<æˆãáÕjRûAo«<Ð|1«Â·>[ùÑg•/Z®ý5ÎÿÝöAµ/Æx{îÍUåÑg•+ý^{ŠÊò#£cÔþ#ü²^%vÖ#vŠ–3Úw¯ýpó¿¨ÿY½Q=5Š§”í§­öùˆçlX>¢ÏJ+ç}/ó±ñü•[8]¾côü‰ÿýâQ;TàYåŽÑOè¥ôX÷o}ÝÖgÏ^{j¥Âý£¶Ïßy÷uåœòiåkXûu+ü£rÂð³ò(yýK/>XÏxßI[ú³Æøl›OûÝx߇üý±]Ö¸u·„úÉ{ÎÉz—ùÓÆ}W*^5AºÔ{œúß»ßÌ*‡·®£ŠòeÕ“Ö÷¬Åo<ÉðB<ÞñÙè—Ñ[ÞΟÐzs‹ß›˜¿ÆðÈò9O¦z£òê•XNý.¤3~ÖâSëy×ÕÔøU[ß­6òà¾5êKµŸP¢úÛïRñtï7Úç%ÛOcÜÒ¡ÆOzTzášõ˜s½Æë°ò*~7^ë¾Ðy:\°­GâuÖqóŽ#-§ú]d~Àè¢ô;çqƒ³•|úÞ}Ú(É|,êQ³ÝfóHÑÞ ·Ã9¾ªýìèRõ&Šk ~ÚX.ä_5®¸‘¥úQLÿxÇ›Ég›˜Ýå_„§ƒ3¸¿BÅÃð"ýà±~`õY²öã(TéUuNé$÷þ©tvùƒõ»òLŸÍÓA¸ìþd†·£Ãi_F,ÇÆ}+Œ.¦ç¬‰é=/¼Qù´Úu+]^½¦Ò¡ê Š‡É—¯“í(ùŽïVrÖ&+_[í1„cÜ£ŽŸJÃÇèºÔrZÚ9Oó¼NßgxêýÕƒë£úWKmF¯ê·¡õ>u¾çýÞ‚ªWÄû¦Õu ¦­þŠUßzí£‹Ò霫ë‘í3’W–¶ö»Ð{H§QßZӨ߱5¾­íˆ®W.e=7ØÖþðÊ'*/ÇǼþ›U?ˆñFGG¿Ñ> újbã2ŠßjÏ[ün½kŒ¿[ïýµë*]Œ–/Ûƒö»Nz¼úÈ[¿ƒgŒC³äæ¿ýÕ^Ó~dþ¡8£úÒyćð;ýlFK^{ZÞ‹çï˜_`Mf¹û×jï!}ódƒ7¨‡­ë,¹ùA·9¿ @ûûÙ÷arHâg°^³ÿŽáïô•3NžÕr£~|¶®—õŒ5þÎê#zd;!~OÒíßõ®Õoaômm¬r*ƒqýyk9’í³•_Œq2D—J/µ¿Hÿ’s]ùA9f©W«ã?ÚÏÌî3|jÚJïÉöÍ(‡Ö}3Tn.%¯¾1óÓ ^cða9ðÝ8«NçÇÖuÕÎ Ú7ˆØD§Úm}öì¶CÆﮌÚkYold¬þM©gWl¤Ï­ý§ê·Q>‚pÛv#þ½§@ôCd?JÔ‹ò³ÑŽ0ýaí7oõsXyõ»ãV|¨þh¨Éz_§šïÕÔOPåøÏÓkwPyo~w0>)ç[õà ŸXéBåÌòü3+ßvp½vÈ_Pãõ-ü­Æ¡è‹×¼gŸ.§ýîÊýƒ­Ò¨bñv/?©r%Ï7œñ`5yõ¨yŸ“s„àÈxýåm?£‡ÁßJζ²gjÿ£ò%ߨ¯­r‡ð úÜzø9nz7êæ‡m.Ç Ï%Ž#xý«|•÷ÆuÅÑgë|ÓÍ^ý»1<¾ÓïBï^Ï:®>£}’ûut߯(献–ùy#>j“µß­úÔ+ˆn¯Þòò£â·Êå(ÿ“xB[ÞJKîù†jûQX¼Å½¿e£ñêò×çQ9ØÆïom×Q²Æ¿ £}bù£øJ¹çiV=Ø•ÛøûÃôXõŽŽ¿ªW­òOõIsžOö'íc)/®PøÎ}(ÉëÑ Î<,Çɸn¦êQêW©óÕ¿õîwú5Þòr?’¸¡w_¸U´åP¾ÕSá³r[Åç´¿V?pÔ/+p6Ö묥G]·2®Ûš÷_xÇË©_˜>Cðe=>è_¨õ¬ý-ÿŠ÷ôBzœã®¶ÕGôQ|"ŸyõÀ(ýÖõL”¾Q»bMLßÐúÞua§?€¾óÛÖ‡øõž×î øŒ+<«žÖ[Öý¨ˆÔýêÎx´uü[¼è¹+Úãõ³†õ¸±¾µ\—Ïøɹ?Ò«ïY¾U¾Íõ­òåÔì½»·ÚÏ)ž»aðÌxU9cûÈ‘¿å¤”¯GËêQö<º/•cÉû=”ïõÇÙ{ùû>FýŠè€ô«òoŒó©x½ãÎÚmµVýÂÒVå/•ýÕK£ü…Þ{õ)ƒçÍíïŽ~doš{i˜Ü•rŸ»ð®c!øÞxÔ%Û×á”s¦oa9g¿©ù ¿ ß¹+Ó#ÎÛ½z{´ß:¸Î{]!\ÄÇj¼m£}r0žN¥cT¯¢÷îò‰^V¾{/Žky¯îcÙXZíšU¯¢ÔÕü>ºšÌöJ¼׋WÝwÅÊ·x¼òßÁ1Ž#¢Ó­7Ä}ÐV»â•¶~—ÏúŸÅýÕñµÆq6ÞÇ7êW˜åÐJ¯×_\¿õî“CðZºT>¡ð¼ö‘|—Ê…õû_ƒû0Fý‰QùGå¼þ £Ž«‡äF†'îÕ'*ý*ÜÍüAxf{ú½­Çµ·FºÔræqÜoBý‡A{†à¹éeûÑPyö½q¯Þ´îÃ÷…uÏm|ÅcÐ3h7¢ïRÛ¨^·êEöžéu–à»çF{:ìŸ;é@õ™>Qõ—L›/lÅF¾dúܪÝ›—q¿„J,g¼OfT´IÝϲ¹½÷ÆŒ÷{#¼¨œÌÇ—x_¤×žŒÊËè|±ƒo·°öÆ'à{qÝ|Ô>C?Æ9¾^=jÅÛÖcøQòê9&ÿÌÞtåDÿ‘Áoëg¤?T¾Wõ)£ Ò+ö‚ÛçÔ‡(1¿¢-‡ê©ðÕúÃúש÷Ùûáý|Ìïãy.²¾ÎèTõŠšß³8-™3|ªœÂ³ÚgŠw4žfõËTUŒÈzÖ)7êx¨t©ôÊt:õZWÎj7Äy‚g¶÷N{ÑÁéTß«ý«âÙÊO–å‹È3Ãç Xý&öÝUÙOAöŠù§bÜ•ÅA»úÈΪöWµ§áƒÍüâOÓþ³Æ™^íºß™õ7ÂÇü%Ø¢ÝD‰Ž³¨gÛzðYíc| ÁWõ …çŒ÷Zñ@¸Fù¶ö‹•–o}Ïž©|¨ýg¬Gé2þvõëç(_s°d-è3÷ƒq~4Êç,™ùÃjwôyåL…çíoö ýœyÚ/7÷¡vÕ¨?™ŸÖ&¿êÛÍÊ©p˜\"¼¾8¾ Ϩaã¤ÒÁÊÉåÕï÷ Æ]Gå»+?¸ŽHåΨo Îfúx«u±TyPå[ =é7•^ÖV¾0Ûoõ~ç:zïõ'¬ù*~/^/“ÿÁý5Þö"?°”í²J—•n«]­WÊm´lÖ¢?îMpÜ6Žï |£rÏä…ÙUFËgõ­ú¹ÀñÞîìß­ìl÷^Go4/1Ë©¸‡è°Ökë#xÏàø : ^çþ שO¶òºrÞq·Ž[?Pã7,î£Þ#ÎÙ³Õž˜á;õ©5YÇÖ3® 1ü*=Öú%_ô;™†t¢ù¶ñ{u²Ü‰óf™ÎQz¼ã„â©[íchÕýêó$•ct°|Uß•òLß‘ïXå”Ñ;Œ‡Äodz¼|g¤Û-ƒz@Õ+Ž T/ z²½õŠ?£ß‹OåS†—¥Ñq¢åŒþ½·?Ìü(î“)ÏÖu‚A=€à¢ä–³Áï`!<*½jùŽŽäÒ£îg3ÆG¼rŠà²gY_’øe'ùmýnýÞ¸ƒ%¯>BüË享¯ò©5MÖÿhþÚÑ#®çme—)2¯‘õ¥ºßƒqÝpTž;yñÚ_Æ'âý:ìYÕ-]ÞýˆN¯¾ÜÜÏ·ZùÅxž×èÊ‹rUò­û/Åy(Ãïõ§P²Ê!K^ÿ Ú+•Á=…ª_`Æ7¨Õ|VîRµƒáGú·+oÝàäÃŽoÚyý<„ÛÙ§TÎwcû£Ö‡ô‰p­r¢âÕG^ý'û7ƒûÂPRõ¬GäËÚ2~§?ˆð³÷=#:ÚòÎö›í‚÷ÞGç>ÁѤú-¨¼WÞTxm9ôÜÁí‰Úîö=«Ï´+F½„è@xX¾š¨Šë ˆÖÿH.Øþ³?NøÉÊ_(³q\ßaiØ.;×iù–¬ó¥Q9s~WËÊí³wü¶²Ëjyªçš÷Þ¤ú-V8^ùdø­~å‹ûÏìÿ¨rgÜÏÂì¥ ‡%·²•?¬Îß[ðöG©ïÝ:(Œ_سUnQòÖ·ò§'–ùÔ¸/uTï©Iµ££ú‚å«ýaõCÔä_ÑÏëðý_D'Ê÷ú-²}SûźnkÔûV;Nñ þ3þµq•å«Iݯ ëå¼}?lOÔs!V{o”CXð==ÿa]GôÛÚ|õÒ#Ž“\ßj—ˆ-õû€ÛçKåDZ8¢Ú#UÏÎÓa:ü ú{—Ê^Y¿« Ú¹¿õÒV¿j•Ï;žÝ{2žÞý5m| щÒVüÚåׯT¾F‰¿×ŸåŒû§(¼Aû…Î ´ÏÓwœÇçµ–Cô1º;ú¶:¿`åo§ŸŽðªô¨ð¨žö–õÚVññRõ3»o•»Äö‰ò™:ï2ÚTNÍgå`?ÎÓáòƒû|½úDMV½3jÿK¹­ã¢]£õE¿¯«?OqÝÔš¶²;ò¼Â¹ÛZNŽ§ˆçÇPbzXæ¯Ñû Ä{|K=2dðV9¢ð€œ±zìYmš¬òDÇIõCœrá¢ýâ÷¥ÌúƒÐëÇC:å¼þÝGfô‡äù…Q¯líO0þTé±–³îEi3¿àRÙ9§3›3.‚èØl]O,_êm´ÿͪw¶²3*°úò¼žç‹ë ^û¤ê=”¬ý䵓ð½3. ó¥ÑßîèùžÒu‰ö ²´•ÜBø*Ÿ©óô¶œS~ ùwžöŸE{ÊÞ[ÏšûÛXÞ ïRÙ;UnÕú£öe”¯µ¾j¬q‚ò¼±_ÁR‡ð>ÏÑñ…p~hÉ'û§U8Ýûü‡¶{†ù߃Ýñ3ó7œüÎ’¬WÈ>¯ßŒè(ùÎ}¬è½õ¾wkû!^Ïn±kV«kögŒþƒÕÎŒêa+ŸŒò7££¼×]·âûŽ>u]KŒËÈxúEµ/^þݪÞVx·²¬üh¾•³œ‹ë5œA¾uë7q¿…GÖÁ:8Æ}^½BçÛÎ8‚*7ðýoÒVý«ÚO+TîæéT:QG+ÝV:¨ð¬ãjMÖþcø­úp”~½gõYyï¾1uëRÙ]Y~IÜâã -\kGÙ^u9•Ž¶œêwÀüÆBx<™¯@Ü¿+§ÆiÄûÌF¿“ÖÂEx¼å­úV•óîýVöF”·Íø†éƒAy¡øÉzÑèYû¿£ŸœWVõ8ò3:|DÏQøót°Ã’úÞÊ7,êyçxZñ¢ä^_%|Âè²Â±¶ƒám¯ì×9Qå^ÕonyõžJW)‡ü9tžÞi'ºòN>@ð­ý‰ž»úâþ\ˆŸÜ{#ó×FûÜóóôʇz—ÙAu½Çé·XÓÖýcÖ¯F»äÕC%ß¹_ë’ɳª·óK¯ýTõߨý§ã2O§ÒÇê[“Õ?§ðX{Åóë*Vß«O:=Göm |ÕÎÌÓ>¤KT.÷™1º¬vŽÁƒåý/§õ ~«~áµÉª?Íömã}訾×.µãaöcZ9Ôw%°ß)^§Ety×ËaûrÍKŒöÑ£&G[^"@Mn̺îgÔŸ[Ë}?¸/ŽÅÓÌxœzÊ*g,î#Aq²­èUý•NVÏ;£í¶úª¿ã¥—–g~…Ñ—åžÈ7ƒ‡ðºùغ¿ÈØßÖ÷/ˆïµI•»­äÞª?_yvÞ³Á³ î¥Ö—ÖïMŒÚ©žj·óky™¿íUë«üåå'k9U®Ìò'úñªœuxõ¬ÉÚo^ü^~EåeºÅ}=Ýûø •G Ñ¯Ú u^ÛáUï±héÉõÔïéýRnoÿõ[y/Ɖåù²1î¬ú1l= òEë"?½'ãétÊGÇo^ÁËWÆïSÛGÕÿhóçÉ„§Ô3ÆË·–ËKµ®¢âGåÔò^ åk†OM^ÿÁSõfyïoñ çŽÑ?ƒõ ZùÞÛ¿jbýˉôl%Öõ«žbt©xk9s<Ÿo'òÔÒèêàí•·žlOT¹›§p(±øÏ¥²ÃÖ|Ù.´þØ/ã§=ü(YõÍÔOL®ÌëlŸ˜jÇÅyK‡Ç'ðú+ž¸.¤â£úÂh_Õøµ•/!>#ÿzõ¹}HZ÷ ²x‚8/åûk¬~j:ü _Q9k¢|ØÎÇIxt}€=«í@ùr9çþDzfåÔúj¢ë–ÆøN‡É¹s ’ﮜïbïò¤ò™Z¿Í·ÒAáªò”î½¢úpžN¥Ñ_wÇA8육µ¿Ë³znÒªgˆ½ƒôˆðPò¶ÃšT~g~™Y?ËÁ÷Æ8a›†ý&§}ùlÝÄÛÄ«q?/ìytÝÒÌV܃3<.Ä.šÛ¡®1þ`ô£ò¬Ÿ6ÒË(QúÔïJ2¾'­Y·êèfôÎ?Ñw“‡@õYª|rñ žâ´|DÖí:ølüˆ¿`å7ToÔŽ°dæïº<â?âÇ·ÏÖs÷Œ/)ݪ]cëÓ¢\ÂzÞv‰üÓ½7®Ox˱ñCåU?§¼·úÍÌnãy¾ÑøŒë2\k{DºPòÒAëÊóÌvרÇ´ŸFÏClåç‰ã×&ˆgž¤ú,YëYåCÕ»æþ7ê7”/ÿ‚¸0ƒGéSã“DwõÙüU¤“®;lýLüY~½þ’Õî©þÚßé?Ù^8í:Kÿ<¦g°J¹AIÕǾè_#¸ŒN︨ɪ¿Ux ¾Ì·â80:[}k¥%³°Â5îcðÊõVzBöCz³-àuô8ãÇf|ƒ|Í’ÙåÈŠ¯¼'ýÞ>Òƒ’׎våÄ8¤J,7*}N=Jé'­é7/[µƒ•§ýOâ¶j{^/}ï¯Ø^/>¹Ö} Æ8m‡1þán|O1Âñ‹ëÞ8¨ÕQá"xÔ¾mìÿSúÄu°®¼ó^Dÿèw0½q Hk¿‘?¼ëÖ>»WI\·“Ëí¾ G^—ô?dû!®_ËëÌŒ?ÅïȪöŽÑÉà!¼,mÅ>¯}pò£%Õ^Ózâº$…3Oë©ínéiñ@yåÑíMÞõµºòÖx7X_÷ò§×¡zKÜ…à¹í©ó^C·Ÿ î—QÛOÖÚòê3Jª=`õÕ|†—~OΫÿí‹šdúœölkz¶²«V;X~çé0«_©ú=Æ~4·Ïax­ïÍvÙk·çÍê=`°>ᣭæõÿ¨ÿˆê׬rǞݿ"Ý*ë:Û¨ýëòE{èí/5yçUÌ?cå«ßÆü³­ø„ÊGs¯±Ü®Á}7Þ$û=ƒ÷|Êø­ñg<•sû)-¿©÷U]"ûËüµ¾Uï©ð ƒüíåg³?`´C®èBzؾ.§}PåÍ‹OÖ§F¾cå¼ikxÿ_%o²úªDðTydöR•SXÞ¨¿~ˆ·í/ñ<ŠJ·Õ“í€*ÿÆõe”¶’;8œ§md{ý^òò‘ZÎë×ZýÞaûeôk!Q~Ê3Ñÿr¿1?Ö¸Oˆõg›¶GT®+/î/õU}ÙØ=¹<³ûê<Ý9ßÉitÜÿ¤üAyüÅ8¤?³s¬žšÌúÑ(ç-<„Ò%ÞËÍàvý:Oœ.ORõÙp¿÷«¹ÇØ‹­íp›h=F˜Ç•òÖø¤èçtð­ë˜Æ_5YùD†gŒ§z÷«ZéRóU8t¿d«ؾÑ®Xål4yå•Á³âñÂEð/•ßÃè²Ú!k|áWï]éêíG'czÝ8Ÿgù(åõ>+œN/‰÷˜·ùf;Ëì‡s_¢•¾¶KnüÆý^ÿ“½÷ê¡K¥‡Íþ 5>¯ê«¼ïcFôÉø¼ò'ꥭèå/ŠÏêG8Ï}#ùS턉ì/Šs¶ÏfySçÃÀþttûK-'Û g<Âôç6³³À?)ï7TÞ»®á?BÅ#ȻگŸá…OËý9F¯W¿¢ú%£ý«ˆ.„Ǫ/P9”¬|`…£â±òk÷Lâ2ÎõÊKe'Ôx<¢ÇjÔùP[Þ›Týѽõ-ÂSòÕx s›ÚV¾eþ‚Wþ½ðÌãh?obv•GôXûÂ5ÚqÙ5.è¢p¬~¡Âßx_–š¬~ªŸ÷ùÈë- ™\¸û£}£¿>Ë/ïëz*Xß³rªž(ù¢?1Ú^û®&syv™­Ÿ!}©îïp¶Ûª‡¬v]…çµS]¾q=Ú¦÷T}Úć¼ãfµóƒïQ‚ýjÝ'Ö|W´Ã#ò?¢KMjÿ¨ãµ5ß3|Œnµ<ÃËô€ ·Äç£ûaØþ9cÿwtÌÓ©ô©p üQýÎÆg£uh¶ŸÎ­œv¦ÍG娽ëß,¹õ„…ÇüˆöéXõVÉW÷¡8?à«òÔ³ÒÙÁùYæƒK·îòóV É¿ÑÏBø½qï{xÏÑFûd~¯=¦å½úeëy¸È°?çɆOä++=TžÅy‰š¨~Q×/U=ÇäÒy®­Í—ýãú¦£_.Oü¡®è?uð­rGì‡àwôl´þ`õg \§üêë­ùÁUë3zÊ{ã¾ëz©÷»!fÿ‰ñ9›gªï™¼Í“ÖŽùÙ»¿å#{)ë+_‰p¬v„áS“Œ—ݳ æ*Þîý`œPg–¼|·5ÿ ¸%_´‡f»Èø–ð3j¢•ƒ±z”N¯Ÿ¢ú+Î~´Ú•~–˜œ›õq?‚·ðý¨\÷Õ©åÔ~¡xŒëêLŸ{ÇG¶ƒNýé þª§âAÉK?„£îOñò‰ªwóï<¹àvïÉw¬ýl¥Çª¯œQ=¦ÊO×éüIÙ•òk݇ìÜ?à1ºY9–oíÏžqÝHÅc›C8Î~†pó!FŸuPûËZ•S“¬/D„ÖÛxœ:¼ƒ÷a·t°dåGuŸ…ÕîXý ë~„§À'‰>Õèà~؇6¿+çí¯0ÿd4ÎlîñêkòêAÏO ó=±;:¼ö|·Î<^‘ÔGåÔ¸^WÏ(×^ýiõ¬åÝ%_g‹zù-qXýn<œßðêFoWNäSöÌà›íàw¯³Íí3æ£÷êxut‰ë™æþš§=ø,A¹eöW•svŸÑo1ë1kÿ ÆßÍt1yÏXí‚wýjÔÞ ?ŠÅá/¿Àz¿‚à–gÕ^ ®ŽÚ™Vn\5©öŽ;Ð7ùû N}Á’jY}ªoëO彺n*êéo[N}fù ÷Þ¸7J¯UN¯þõÒåÕ/¯·U“u|¼þ‡•µþ(_oM‡w¿“WqÛ§~¶¿VÿÕ9ßèÊ[õ‹ÿïšší¼sP²ú Ž1^Ìà•gur+¿ÑiG¼úY^çdvCŒ—¶õêûa>tÆ¿Xû >£?`Õ»V¸V8V}mM£ã‰àtùƒëFì½Üÿ@ÃòÌ8÷ƒY˵å»|ëüËØ_ŒŽQ~¡ëóõ3zVáQýDâ-V<ˆ¾ŽÓÎzñ[ùtXnz¶ûu~?®M*Ÿ[áÑø o÷Ž¯¨'(„W\ga‰Ò%®ãyÛéãü°¾Q¿ê5¦oÕú^:­ò áç Žº~aŒß°þFx,_µOÔ¾nÌÏÖä•Ã¶ÚàYý'¯Qý XÞ«§X}Ñ?V“J¯WŽ¬Éê¿ |·¼÷É |^¬{Ïö«¨öÀVûUµw*>ï¾*ë‹záµÃ´Ü ?@úrÀÒ(ßÐ~e÷F‘ï8Ézœ7Wã¯_‡gP®¼|×ÁñöÓF|?J-¿Ñ8BzòÝÒá‰ñiV¿Ã;èÏ08VÿŽÕCúéA ý:×YÚd¥ƒ•ŧÖëÞ«û¥Ô{ÏD»Ûâ£zÉ´&¹?½û\óÀK¥¯ÿ¤í³ÿÞñóÎ÷Ìüæ•o‘>†•gpXRûM…«Ú+ZÏhÏÔsb®ÑŽ¡$ó›U_ŠðÚòN×y¾–âÛH›åp#¿Þû«âµÊ¹Lw{.W<Ëðyç(Q~4îËüÿÚ¿Rç1ê~ÕŽqÿ£{39çûVþ€ôxçF;5ªซ|€èéècë`¿þ(¿Xí]û¬âEðFízðÉå|뱸Ǡ=R“Ú_Þ8¤W—òƒû—U:ä~`zJŒoªt°d•'ŽÕiŸ­úÁezV…Çè@Ï^øLÞiyU?'ýOé±Þ»Aöm1ý`^ïõýnøF='ë+ð=wZop–uq4ÎBù“ÁWã”*¿ÞSäõ(]„϶Ž'±Ô­ÃÇ_-ÇäÒ‡úižLp\ï~>¯¿eõçFýÕnnÍÏÖr²~çƒ(ß:îÞþUËSº6^?k“u\Zû;ŠÇ¬×íïê;ÇâWåÎ+ïÆu)”(¾×÷Tü²_`•Gc?£g51»Þ–µ?HO ò yöÕ Ž³„‹ôd‹gžÃAùé¶| Ÿ•·êËîýFq,TîRÁµÚ_NWNŒ+zéÕSŽqýOµ;,yï1³ÎŸ·Ú„ðYù‰ÑKé³úÙ£ö”ì—kë1¼^=’L‘¾Q~Dô¸õ"›ÌÓáz*ßo<^^ýçÅc½˜ÑÅÞS?R]Ï݈Ÿº÷âüŽÁW“÷¾ºQ{håg”`?:¿»±µŸkæOâ·1ºh£~1â³Òã]÷bùè½,gÆ{g ^£\Zý.„ok¿Ñ7Z4yí£ ÇšßÁU×ñœqv”¬ýìÖõ…kœ§Œ–kß«p­úáQñ«ðQ²ÚAXχCï;|bÜCM^ÿù%è½.ij?«tšåJ—8÷{ ·ƒìK´òÄgŒÏ¹åÁª_/Ñü]/ŸZñuùÉy—Ö·œûA¬ýà…_ž[>U÷me?ûòe9pâaù]9q_¢Wî=´žUÏõ–lÀ:U)øÔŠ¯+§Úñy:ý=˜?2:=Ð^:}S“Õ^ÀqBûHœçþ¼ýŸ Ýj’åÈ8/Gx¼ó £Ï¸þ¥~/ >3¹7ÚOºÞ=8_)åÄøΨŸ$?oµ_kt_«‘UºP}ÚbÆŠÑÍðtå×÷Z8¨<ªoÖïÆ~@ôlµ¿Õcù2®—«|ëw2zÛzNtN áyàŽÃùâx¢ü®æé =›éë­î%Ôk¬\ÉŸ§Sá ÓíÜonÅÃÊYã[é[Yž­þ’Èÿ°þ£Ÿ€Þwý×Î Á|¨Àüî±UÚ)V¿<“}¥Ýó¤áߊŸœó>+]_§G˜ü°û˜Äù6ó'к¤U0üV;eM£ð½vM¶CD®ÌüMö;{ÇeTO«‰â™§SËYý¯ŸÄÆËÚÖdå+TÏ+·*}­ß¢&¯SÛ]òÉ~·+OöõÏ#sýyÚÏwÊë¨\Èý¬Îk­÷ìµp½÷÷3ªix_³q_?{vë ѯwÏ7¼vÄ!ï÷åÄ_„ŸÑ¥âgit=ƒ•ƒògìŸÑü­í¬Y«ò(î÷òÛžˆ|©Ú;Tߊ_¥G-gÕ›ÖõJªoœó-öÞʧåÙx¯åSq½¥Q¿…ù'¨œY?©þŽ¸o`ëu’Qy*ï?êÅk¦øÛT_9íTynåYŒ+Zù“Ég‡ÏÙî­è±êÔO¬¾š.•ý÷ú2^ï¹#ãyÜ­éoéPË—|£=€ø­þ’¸ácô°¤¶­‹zý(õ½ºÎ¬Ö+ïóuy<‰^aðXyk2û9Þyí Ý·>#øåÙ70ÛgbezÅûGû]¥kô\]obtƒù€×ãAªŸaõû:úD}5:žÔ~8×y·*WÞ÷/tõýéòë½7ÌÇóÆeÅgħ¨¢Ãª§‡ùy£ýg,¹Ç×o¢ófqчž­ù̪tPxƒñºRècFzoµû2ÿý"ÓÉöQÌÓ©pTù•éQÇÛHÄ·Q|ÕgtYûÍÇCp¼ãÑÁ3Ž›wüTû¦êÝ’oœ°g«\@xH®óiZNµ ÈO´'°¿æÉG—ÓðrïÕcÖø'KVþké€òb´Sê{oy«žQñvðÛ~ã‘nÉwîGWç-ö ÷¡‘û\¶'èß©òÍäÍï¬ö•é 6ûY;zÕ~ôOXÚJnÍúWÜoÖÕs~ß•òñàwºòÎ{ ¼x­ô©i”¿¬õÿ{õÄç´ÏV{hŽ+£x›Q¯ŒÚ§Qþ±Ògíw¦o¬úÕ;Þ]þàúÃÃø â1®P:œëé,ÉzÞÉ¿[ñ5ÂgÕsè=Ë÷¶ÏÛªWãÈ^¿–Ñã^'0ê'JZžø*ZO]ßBóÔßó¤áí7Ó_ãbüÊ£gVÎj×h}q^[Þƒyb÷^åãK´Ìê×xí³Jg›ßµ{ž¤zj~yo”'ÇéÐúÎuV¿Ãg”_«ÉâŸ/¬Ïô‚3~çõ+˜]@åÔñ/rÖý¼û2X9븙í–ÑñÚÑ}WLO²rè½÷^†®1. éAô9íÃ;j¯Fí¢U¯tô©rƒøÝ¿FI–Ó좕”Ÿ¬vÕJ˧ô¨üæ\—gøá{çw•U|Vý3ª¯T9.õ¼ß¹ÚØ¢¤žcµ[VyaϪüt|Hô‚GçÝŒ?­ß½1îÃðÊ-ŠXãñ£zÑÊg^}kÞ÷Iâjj=ÕóêI«]ƒíÏßÈýäl§WÏ™ùŸÈ¥³¹÷Åë\ëù'UoP¼V9š'[=qݽå‹Qøê|¥K¥>f‡¼ýŠð±gyÿ†zïåûÑz£ýe-×Ñ£®wõ&£Ïšd:¼ëOÖýGÆvZÇÝ Ï«Ôò2ÿm<¯+ÏbÁúŸÏÂ+¿ÖüQ z·îÊwót8ßØ^=iõO¼ý³U;dù`pÄ{õÔ÷¨Ó#]9”/îËSë!zY9/r®wÀvÌÓ©p(\²Ž«ÒÁÊ{ßCüâ<¡«Gô¬?OËyí¸[ƒý©[Ù•Ñ´µ}Cp­ýÅRß8ßgõÛüŽNþ¨ßan‡ÑŽ«ñQ7lo´âïʉûTÌüoü Znk?C}¿•½èÊ×ïÛüÑ}ð¾£ßÑáoίÐñô'FíÚÖzÝL'Ø¿{É÷mä?©öÇ ‡ñËW÷=(Ÿ“/½øQ2ëËÖù¶’CÙ.ˆöt«~Û¯Ù>«ò‚öÍçÕÞ}¨jí¯Ñun¯é1Þçßå7û¼rÁÞ»ý £½SÓfúmžöˉë)œ©çœã"«q?†ì/ÌÓa:ŒzÍË?^y¤û‘Äþ‘íÛFôê_YåÈêgXíšlxQ²êä³¼ÿŹ¯xk?g+ýÞɵzP]@rÀæ{Æó¸Ý/¹ŸI•Óá|«}õC—?*÷ Πˉí–ñ:í?{ßÙg¯ ô·×Aô¢gXœ»Å_ò ¿Ñuž¶þ<í¿G~˜u|ˆ<3¸mRùò©?ìG‰çœÔøÕþÒúÄep |ã~:*·ê¼OÜ×>¼ÏÀ»~c·N^æiÿÙèÏ©ûϺzýRú¼|íýNì¥ðKV;ŠêQ¹ÜÈ~›ùè5j_غóÆ무}Î8-?ߢõŒ~,¯Æûœvñ3¬§Æ‘òåŃʫíóêX_Ôƒ´ÿ6Ž;@<ª}±úW .»wþzoµÓÞúŽÁ{νtS<Æõ=«?ãÖ—ót*~FW Õ÷Ž¯µ¿Q²ò¥×N!¸èâçI£ýa¥wôY¥•“íÃVvhPŸêGnÇFñQ+¬üVö°ØA4ÿ5®ÿ0{‹à˜ùepÿÉfë ­ž™§Óë{Ï YùÖû½ÛÁþ£tÚ9ë:í¥Ò¿n?Æé‡0ü,AúD|œ'eþ{à|ãºt÷~#=Éàzí¤¾Wž·âcT_¦kpÜFïQ`ø6Óót*>”Ìv‰¬tå‰^v÷ãc\Õk:¼N»„ð0üÖu¬­ÛëÅÇ’W¿A{æÜ¥òÙ¥ÖgLÎX²Ú•Þ®¼ñ¾9¯}RËÑzót*¼®žºN5¸_ásÛyñ>QôÞÚ¿<ãýT¨œWï^êdíÿî=²sëw•¿\”¬ðPýQ{ÏM Ú{ŠWô{ çºW¯oºþãmyÚŸÆóAÞx‡7êM³¿èä7½gÏV>€ô ~·ö¿3ŽÈð¨ïÍãÌô¹SÏvùÎ}ôè™áßzÿ8£KÕ#Ò'Æýt[ës8÷ãXí”êGC½ï\/µó£ë›-ŸQ?~ž#bð/ÿŒÂap§_ÜVã¥`ŸÙè¾ó­ü¨Q}é^Ÿ!ôSþTË;õˆšOõuüØú¥óþ"Øód¢³Ãƒü*Ñ¿êêe|ྠk?ÊõÝî~Qõ-Ù*ÓIÖÕe‰ìŸ¥ýÁôHG›à8ÏÓéï÷š´åÔz2¿m4oVëËò6h_äù°ŠÇh_Uºåö\âñ“Õ}éíbøYRûW…Sž7ÚÄÞ›í…UOªûÎû×ÑaÜŸ²Uå3TõS—OöçzåËÛ_n}@ü T”o·Ê·Žß(zõµZÕ£t÷3xûâwÚ{•>³}'krÛQ#(ÿ’ñ“ÑŸµw-þ®>¹¯Øjw¼ò¸Õ¾küå—_²ŽgMV»é÷7Œ®/Ðõ3ÂW,s½6¸O¡-‡è²–cÉ»/áÝJ©~¯j!üÁý*^ÙêORú¬ëÎN>ºTãÝÕ½_Ý(‡½ûç¼­ü.”/û‡L ~/Ïì¿úe—*yç½´¿æiÿYýžµuÝÍÈ—jí³ßî]?ž'½V:i=äoíp =oÇꧨþî¨~fø¼åÚòð—ì—¶¶c4Yï÷iéñʱÌ?ÆùeW_\ç@É¿ö–å׶üVþwøµ£ükÕ÷^ÿ“•WýžÍüqÆÇV:Åzfÿ_åO‚ǽïÈ9r÷×FóuFzné`ô¢ä7”OõµQ_ut î{±Ú%3\q|Q²ÚO¾ÛßBü«®kåÒÑÌ‹)¯=bå¡âíoUþFסÄýtVú¾òuœÜõ`ûÙ<ÀGEt•òÆþTñ »ß}÷Å»mpÿžÊWV|?+év¶%³½1úk0Ÿ|?ª<‹ç|ØûÑýaª|¡òl~ZÊyãwód+ïôS·Úÿhí÷­ô?‚Ëò;xjœèwŸUÿA:ÄzÃã5xŸÓ7+áõ>ªçÅÃè¤öÇ?*ïñ.hŒûü._õ“í¢*ïê|‡ÍãU;ÈÆMõO(}ƒüi¥£ƒÇæà&£«{¯ž í'ëúOí{äyí²:®¨ž —ú=N{;ZžÁÕûæ~búÒxï•z¿)Ò§ˆ^HëW6îƒøÕò]9Òþ­äc+¿@íO†·+'Ú§¶¼ŠGÕ÷my—˜§ÃÏâ>¨ŸœûÉT}êwðœë[•÷ò• žN¯ÎGÐ~´Áû®;zœãäµ;£vRõg¨¸‘žatvùF¿Ž;;ʳý8Þ}B£‹3tå­v§‰×–réÙÊï´Ü`|UÅ«ÖGxiþèzðÆrh]ß õûP¼ù¨œ•ÏºúÌï0Îc­ôyí³W¾ÔüòŒÚe<ßàŽåYMf½4èuíR×Aœx·ö#Ê{qýp3ûæÔ²|4ßcAð½ëè™ÕSý9TÂ'ëùŒ.k9UþeÄio^•yŸå;í–ÙÞ;ùMÍWŸ;xñˇøÅöªvÑ¡ö“jï¬v þ²~š§Sé†øEùëêD7ëQ{Yž½ëF?‰ÑÁÞ#º­v|Ô?ñÊeK7…‹Öþ…µ¼lǬúT•kÜ—Ù?£èµ#V½0j÷Xyø^Üÿ€Ê3<^;‡Þ—çV.Úï‚õoïøÂ|²ŽEÛ¡Ž£¨ï­ã¢Â‡t‰v„áiËoå? òˆ>–ß•#ñ׿Uÿýôò¤ËÉ_j…oÕO2]Æï@3|V¿¤<[÷g©û€ÉwC·ò»T:­þ¥ŒožNÇ?ºÏ å«÷Q[ý·ä×꧙÷³ýOékûCýέñ¼ºªçdºUûIö¹¨I–Cò½YNçÕqFíió»rVýhýuêGDwÉgó'šûÏ('¬¾ŠÏJßVr:Ê£òi}¿U’Ç“ìo]7bô©ð¶.§ÚesýA9R“U¬õQ9¯\²úݯè¶Ã WŽ{ýLï¾ –¬úÔÚ>«ìà©÷åŠÉ³ºî¦&«ƒpTÀ¹®×Á´¯¯—ÏÔdõ›Pþh}ö,Ë·±¬ïõßÐ|ùGÎ}×V=6j§Q>ÓŽzïZKÿàþô~+=_Þ“ï0©ú ÑÇ’›GûeÐßpŒûõ¼þ›×\ªþðöªo¦Ï¹ßÂSñ‰ë‰,YùŸÁqûiƒþ‘7míw”rÆõTÕnXõÖ°58®ìý¨œò[É7Ú{Øl?žSß x(yû=—|ãº>óoÚræx%Š{¿²ËüЖCt°zPž·Þßn\gT¿ãÂè@ï­vȪÿh}µž·_dû@æC>²ÏƒÑ1je{§î—Ýz™h¿Y=«ßÂÚu©ê[ãÖñRñÁþ\`ûÄ­üâõo¬þ—5]*`T®^ï{Du\»÷ót*|–_Þ[åJŒÛxùÕm‡ÐýóªwÚf¿Ýj¢t0ÿaãõ[”ÜzÖØ丹¸_jôy”·Ò§ÃòaÔ;æýhF»ñªv@ÜÊ’Õ*ùÆý¢ÏP}õ¹ä[×cö©Å×õ“¸̪¿¼ã²•¿c•CG¥‹ÆƒÔýƒFù†ô8õÄVz–Õ‡åç7Ö|«ßaÖ#F»Äö9™é¶îÅ‹âót*ÞòLö%¢zˆ>V%빇¿3žéúT¥[…§ò±Õ.¢|™دwýߪ瑜‚ó3¥Þ<Ùð?H•#Uþ;<ÖþWý UùË«Ÿ½V¸ŒN«]µî϶ž°Ò‹Ê•gpî’ÖÜ7ÓÂAå¬ñG´#Ì.¨õÍvËÚ.£~ðú5ìÙ»ÿÑŠÕGïÍ¿ÖøˆÕþå{+½fÎvÐ*ÖþDÉZÎß0÷÷Æza”îîwžöá6÷ñtåÄþóê‘ã²¾iµÖrè½Wÿ°÷ê¾Dï¥òJþÆñ æ×QzDyexÔù+Â?:æömôÝ`5mÁÝ /›Ïuå­ö˜Ù{§}7ÇÏæé`}¶>ÞâEôtô9Ë[÷‘±4ê1¸£ëq¬¼5m½>Ú>[÷©zfx¿‹êOÅ€ßðÚ5뺠uÿ–1žYòÅ{o ^ÕŸ±âuÆ1U?ùYÞýC-ݬ¼J?Ã×Áü¾³Ü¯Ny¶êI®Ì'ÎøK^?•ÛJ~eýhÕ3—È.vòËà³x¼ø]môÌðþIù ŒßÚ¾Îþ4ë(.âõ;«d}•ÙÅ®|÷føQRçVyEåT¿Ê½ó~W†§ä×3Ñ3ÃÞê=*' Ž†èRéeÉÝžAûÝæ—gâç1?˜á÷RnžNGœË îµö—ZŽÉ—U°õóã‘^µÎ«™>§ƒtuå÷‚ r*ݪ}±úY ?¤KÜçMó¼wxÙø=pÇa‚›ò°¾QOÈxåŸÁgåè8:ç›j‚þ•(G-T_=¯g•¦Gý–ïÕ#ÖýS*>”¼þ׎¨øUxPï3ð5µ;Æ8K›äñ4Æ =^ÿ%ÙþYù×¹ÿi+~´ú ^÷^½g¼Ý¸1Ÿtå ßC8Ì.ùëêYãу÷¼±ö¶x ]ÎýWŸµŸ­vqpØZÏ«§X’åô|/úfy0ÒÕ&«ü´ëm>…»1?Xá_*xj}/]ôYÜgbÝÿ陧1ºŒrMß«ûàõ„š¬ö½]/îàªöØy¿­—ïQ}XÎk¯D¸¨¼ÙÞ‹úŸ¥áúÄ.Yõ!{í±_-<õ¹£Ãdùrû6¶”®yÚvîw`ôXéléMê½h*^™ïŒël2Õ³õ´Á}\Öqf~…*·L/2z·z?ºÿ›•‡ãꌿ´õÝzÃYÎ'§ò³Ñw­¬v„ém+Êã@äfØ2~Â1ö/êOßk_d¹ØhŸ²ŒŸÉƒ·ÿ·Ú'gÜÏè‘ñ9õÿèoopÿ1£o«dm— ×¹.fÝÏSòÁ÷ÙÛzê3«Ë¡¸€Ó?Tß·åس•©÷ËÀñõ8ÄÚiîßV÷z÷;³|¯_¢âSßwxßËöAŠ|9¼/Sô£èxoÜo-~Zn¨|ÌÓ=²Šv†ÑëµS*ÿyý HÙ_éµë[Çie¼ÆñUëuxÔ¸¨¸°+ßž“Rå͸þh_Ø.ëý¦Þy®qߘwüQ¾Yþœñs•_PòêqDWÉgúÔ?gõ¼úH•oW•+?YùÁÙ þ¨¾öÊ£Ž:O6ÎãÍöß¹_M½çeÔ¾—|o ?Õëð8×ûa?‘}œf<ûqˆ«Þ”á«~#ØÛá3®Ó«ÉË·¬¼µŸ(&F»äµ;4.íõ³¬ý î‡ðò7_Õë²=×áQêêYσyíèœ/£rÖ|ÙßË1ü]¹Á}zÖö@ÿgÐߵʯ®ê[ù‚•sû«FÿÉŒµ7Ë™ó^p†gk¾¡ü3ú}3c?›ãáÎý<²_Kì£ú¡2½¢þ7õ¶ÃÈW—ÚŽÓùžs}Žÿdå­z¾M^»7쟪ßõõ‚•P9TÞj/Ôö1|V=ÓÂcψoQ=kþVvI•†OK{ã¡(ÚÙÎÌÓétê D‚¯Ê—µ¾—Nª7ñ…¾HO‹ÁU뛿s(ÞC¥&YŸ:õ¹W^Yúÿ3÷/GÚëJ–-º%¨FI°8:l§¥Y6ŽvÙ(A–2¥Ç½fû¦ðÍc:+:4âáîüžò™µçÈ÷ÓøÒt_xÊ·Iž¬~•|mÏgéqjùªµÿ¥ŸÞ<+–¾Ö>[º(ý“¡}‰|iÏo”r´}/ó”þKžðÙü”"]“ÿGõOý”©µµ)®ó×y'{üÒ¾äëv]žC«ý™¡=§ã÷õï[ò•êYx~’ëV¯<åÃ8h¤‡ÞW>8üNɦS½6æûC?äm»@tQ\ô§¥/žS=´©ümÿpj§óIãeõëßÕŽüß¾S~Â[û{4oåÿ{¦|ö–Ðög ‡è9õ¯68‡ëäHWy§íW;~¿µ~˜ò?á{{Ü6|òÿ¯‰NkwNõÓ鹸šÞtŽ3Õ{Ëž¯tÂýô~i—Æ|ØÆéäþžM­OGÛ‹C}G|—Í»•—©ÞIpl}[~j7u½ò|RªGt´íâs‹ÿt¿¢­ñ§ïΆú¨Ö_ÏûúL§Ô[;y#áiåœRËø,Ïá·çü"}‡û1Óú‘ž0¯÷îó.Ïß }åø·þá§z”ÖùŠå¥?ý¼ÏŸÚq‹/áGúíñ–_Æ_[ü±þá¹u¢sš?å7›¦z$±ûò|çTïÊEݲûöž˜—üÿ-Ö= ÎôüšÖÏÃïÖþ.}ØÂí‡ß'Z=jõVíÁ9gÿðS¹ôÒxѽ eŸè¬ý±ržŸòûú±Ü&kô½ÀG~ˆÓµva£{(O‘N²_Ö~OÿO(ñlãv_Ÿé}5åï×øÑÎßKûSù­í‹õ{§q+§/écJ$Wÿô\G©·©|ºN!<é=áÕëîR¿´tmpÊÿþ¦üZŽ‚ž\ëmí‡ú"Ñaé´õZþûC=ÐòI„#¿'³xþVoD¿øð;©5Ãkù_Æ÷§ü}š,?àóßÿù9_ž·¯éNvé¾>ãYÎùþþáÿðlýØŸr÷–ÿ¥×›S{^êƒç}÷y‹ï"Þ)—úi}oÿo¤ãbC¿ ùè¾~„ø’sÈO+œ´ž¾¯ŸÛ‘~øÓ>ÑÛ&-×ÓïÆ@n­_8õ?lþ´=òÇË|˜Ê-} ½¯ŸÈij‡¨Üú‡Gúqµ=ÿOëé¡]µå±~УV/"|Ë¿vÝ-ÇÇiègú?í~óÚÞÒõ9ÅUYNµž°çWK>¤zO=Ž2ŽDé”o¨ü÷ÿÕÕ—ÿ¥Á}‰·õœô-|+o±}{þ¯Œ'líË8aÔO÷¥è¬é“ö‘’Ÿá¹À­¼”gíw ílz§úÓr;>S¿Äâ·ù_ós¸o?Ñ‘ä±¥ÇôjJ§óCz~j—Úz¶}+ÏkyËOíüNí”þŽÎúUS=|h¯R½„'Òÿ¹HøÏT^Nõ•¯—öj{•â’°ocñ§z6å‹üšÃuðµ³|‡ãpøýÊë•þYÊŸê³éx>ïÒ/°t C¿'öSž[%:¦|Bø¨žßòÞÐô¾ÑöŸzá\Ym—J»’R;oÄGÉ^<õíz4ì«Ävvý ãúŒôÙóà4žÿùÏøpÜíüÊ8ø·¬Gã0Ô+ o,‡sµ–Þ ÞÔ¾ õœMÖIxZÿ„ðÓ} ‘9ncûQÚ_jÿäÏŸ"}e<æÔ/Ô~‘¼7žêoõîËÁkÇ…â“צc?±µ/ƒ¥‹Ú½æ¶zŒÊɺ/ÒÛvsšp}Îí!ÜÒ_]ßÉÿ KãRÆqžvto;Ä¡Nõ¿å§8^öû7CýOt½åçµõZ|q>äyZ¯µþL]OÊ}jÿvùÛööí¸üÿ%¿sƒk×ïäÿê›–ÞHßá9Ô_çÆîëc=›ìx®øÓ{›ßž›²v<µ£öoñM¢£-oåeÕÇ Þ[z÷y?½ß²õWNí<—ð–ÞŸß´ãy_ßÛîX¸þ·x[{tÊ_VEúåþö”N Ï®?ÉO{)Þ°Â{왌÷k|§û§/óçSO~צáÃy“š_åeÓ{p?ÉÖ~¸ÿ-ùÞèr”ä…à>å´O0µã î}}+×úë%9yÞ‡ÿy!¼µœÀÿå"Ó¾É;ìSØdù¯>ßd×ó¥>IôS:µ‡VÞŸr¹.¡ôºžµzs(·vÿn•Ÿ–ž .ØõµÒ×~Ÿ5µåù,+^¹ŸlÏ!œ_>)i;‘èú­s0-?”tLǧ壚ÿ^ú¯çtüÚùµð¦|;µW©õ|ž#!zljímƒüRîh¸C}fÓôÞÚ·ö)ÿ)—çºÆþRé?Ä÷òüS[þš>{é~zlgýËç÷UÑQӻؓu?ÄÂoç3õéÚË Îὄµ]±í(îœÊ[þ–þûÖÎêwkO’?^îc%;ŒíÊx­×îLùŠè™ÚUK×Ôþ%8c:C|ÆÂ'ºì;ÁÁñ¿ò”?ÚD~©—àD:äýS?BÃ+ýý©¾LéT¿%üÓùKø5K\wê%zNõÐVÖS=Û·ñ'ð‡~„“Ú…ù‹tY|ô}`zÊ}Ó7Íë ÷¾¾Õ':(Mõ•µ‹)ÌW‡~C[ÏÒ¡Ÿ‡ñÖ”Þ’ÿºÝoþöÔ¾Ò¾ÖF÷Wùú_3¹_×òez_é×ý³v@ŽKk_S²r9µ³S8S=vêŸÄúS}HûÌR§ö‘^¢Î;°ÑUêù)Ÿ‘<Æw{?ÿð^Ò5_뙩}úoÑéžïIp#žROÔøÊ}ûTò-<ô“Bܶ•Ï ñK©7§ü™ðZ=f㜖>}þáPžR¾•cËÿ ηÜké¤ö§ö£Ÿ·éK‰ä)¾/r?¶Óå=­²Á“ú{­O퉞/¶û·¿œ–Ÿ·ò2ždÊKàŸÓÔê ¯´¯oéÓØ®Ô+Óq¨åY> Ññä[û*ýŠîÚ^ËKû+oÙ]ÂÛÒ7æëÅ.<õÀ¿¢|ÍïåQ©¼å»'z¾åås1”¦óžð£?phmz‹Ÿ-±~wLpkûp_ïÒ-ÿSFpï¡ý{˲çA´^*÷ÉZ>Ävr}{z®ÖâG:~É?™ò >aßÏú ¨7ì¾Ü/éÄ{hGmœ;µ_ëiù”òlù„èKí"—ç*SùëöþTî†zŸü¶ŸµÞ ó3µ{”ìëÔŽ¾¤ïÆçhËþÙDv1Õßòíy¿ÛàÒ}‡ãô–þÞð ã%Ï;ÜŸ‹ø“¿`÷¥Êý«5½e¿(ÿ)oãYç%þ}¢ë~iã-Tïí}‚ÓyZë?ïÃ{½)zþbƒ3µ‡å9©?‚tMÏ›¾%ÏC{NåS¿ µ§-ŸžêÑ'ÿtÞ¹ÃéùÔÞâD'â·ç‡ëЧ^©·¬~Žø`ÞR}¢cJ§çôë•ç S"~":i<´½ÆQÒ»ÍoñþS|­þ­íªœçéúÇòƒå Ì'üÃõPzÿ»ÒÔÎÚrŠ#§öÇ|ð7û1DÏ/ÚGiž„7ÕÛê—ç\Q|Õ+¿BxC;ÕâC¸’Ž§]{?­ô§,}8¯Ãýµ1=‡ë•Výž-ß®'Úþ—þÑV.á§vZÞKûÞ¦ú»LÉçDïÿåóשÝXßX¹ÞS÷ÖóÁw_ÿzÂú9¥ÖÏ°íZýù¼Ëÿ¿)·—|çàìú ô+bùÔ¯ŸÚ­?û-.ÙÍòÜÙ†g½Ç¨Ä×êi¢¯ÕG­¾²øŸwyÄónýÜáýZ뻵{µœÜ×÷w7£ÿ$®?RyëâíÊxÊ”žv?|êwLÇÁ¦?ìý+ '·v‡ëOKOÂGíÓ»ÅgS;ÿ˜?õw^Šç¦ÔÚ¡­}yÞ.–K{Žô ÇóIÞÏ/žòé†gèßmõä¾òTOŸò_‚ñµ~Ê¡^·z¸}&< oMŸÔÓcq¨ÇNíw{¾:á¡ô–ÞyÊåùQÊßðÁ9ÏŽëô¾×i\jšj;s¿jåéiý£ÒÏ;ų֯íï¡þ9¥‹RkÇÚyã”ôBºO.Ù²GÃsd­œÇ~®ôå)%M·õ§Ëó-|ª?õcÆü/÷[°}yŽQûMv>¬¿ ñÙZ^^Ú÷›úcDß–oý¨’ž·èlÇq›ÏõF_ý\Îý=õ¼ÚúTï¾>Ö£4õk¦ÏnÂé}i<ÜôN Çíð|æV¿\§Oå2ŸêçVOÒ>)èiM—§·Æ{ªß÷1¦û†ÖŸyIÞ‘¯†÷`½òXO½vEÆS}Ë+¼oïëGz¦úœèzM?½´ß3ÅŸÒ)=©>åëòéy:—@zÎ/èö/ÙÁx/Ñ>J­!8„ßî/£]”ÿ¯mÏ¡h{YÞµÕƒqÐço^²óµ=ÆÃ,_®xüij:Jù¢yMrOzŒð¿eíwâ6Ú³©Ý¯çmjß–õz¬Wúço¥¤ßcy¨—ê§rKÒKózhOb}úßJi—=þð½—±ße×ÏÃÿÝXz"Þ¡;×߶«ÓñÞêÁÓ#ü`¿R=Ôçä7¿dw"=-ÿúžòòœ•Oå!é±ÎKq¬SÿkúýT¢wÍG:¦ûjåàNϜç'ákù§ÜW$}q,oCz"Ãñzê¥ÿI•ÿÿ¥dåä·üF=Ž‡÷¼OùĶ·ñÒZŸÙxÑ”OËóuü«õVþ¾¯íNªŸõã©Wê¢ùq¨ïÖöÓTó×ðÜÓToNíý©_3Õ뉎D—­÷–_T빺&KïÖŽ¾kJvⲨŸËý0Ü·¾¯ùkz›¯§õ·ñ”÷‹Ò8mô,û„þuÒz¡´W–~›PÊs –ŽSýúÔƒ}:ìGÛ¾µÏ‡ö^û-C};•Ï–ÞTïy¿¯á¿m?¦÷P¶q¢‡ê§öãç”N¿/˭ݲtLÓTÎ,=Z¿•ú–ôœÞÇ”ñΖOZÿ%Á™¦ÖOB;âRÏÓzIk~žOÒzGúãÔ¶þÔ.¯ó¼æG:NçÑž¿tEü‰¿×u ÙŠ‹[}RƧz˜êiÿ@òÓØOJãø2ÿÙxÒ{_ˆô½ìoØz4ozKû6µwÖ²þc„úݶKõRÚðÝ×ÇvšÿÓ¸$=Túgõ¸–p ΔßZù·ý'xD'á·òØâmû—àÕ~ù%oz§úãüaœ…ü‡ ÎὧvcšZþÙÚ—ó¯ëýÇ_¢c£«”„'ýG«çŸw»Îöƒè:/ÊOõ¬þA½&÷ÇW»Nx#œ2îEôlô•pÛþÛdùÆâiÇ)ý×*¥±žûžð´ù5=ë³ü¿Ù6o·Kt´ù¨ï@¿Æv‡q>Äßòm?nõƒ¦ãПkáMÛ¿%_Û>liǦúšàLå…ò#^؇nõÛ©?máZ|º~ù­§‡ú„ànù¤×îëgøe9ÑGðÖú­¾OöhƒÿKç´eíUkíÎXÿ—öøm…Kù±¬¯§ókáÐüã¸þïdÊãz‡ë’ãNøRùÛ|”Ú%}ø”Ûxíꯀ~>ž·v^¾ð}‡*ã¼ÖxÚQünx®í·ôeë>ï‡ç&êuö}ýˆwÅOó¶ÕOû)ÒßLtØüT¯Õ‹µ_šäûÐN·íNÇUãIz¡ìïÔÚð®ùÃÿ·Yù\Û¥÷·ÒwníÂ';\¥#MV>õ­+ýši¿Æzºí×Ëþر^.÷çŸr{?ÒKýÞà‘ßbý;éÏ=ùÿñ_ îSÿÔo.Ï#´þÓt¿3åûS~ßhùhj?Sy«ß~=~4oR_µø×ú6Ÿà´ü\Ÿ×Iýþâ·ûú‘þÖ~Äwéïoù‡óeéLëFj÷]m²ø[ý‘à?ù!Ž@ð­¿°á£ÿf“ÿ1\·G

Öãðk;0”»D'â•þÎÖnèW>ùpÿ¶‡ñ^“õKSšžC±~¡Ý?‰í[ý3ä7­ƒÜ'x„Ÿôu;Þ©=ÖOç Â>æÚ )·ÎÇûåÿÍZ{T‹”{;þq<-¿[~ùZ'P}ª÷¼÷‡ÿ.<[ûá:žèKù-Ûy³v"%ô裗üšS¾L~?®’ß*×Do»åÛùÎÃó\ây‰î)ZýlÛ?åR´~ÜS¾;Nx·úíø¼µÏÖ•c=rW>­o÷Y°‡ïþ”ïm}Ì—ÿŸÏõÖ¼–|™ú±•—ô<õîëÇöé=âý‚ÔžàêvÀSøˆOî7œÚJS9#û±µvô”?c}øÿP­ˆoa\¨­Ÿƒü:¼O9Ò;\ǧòz'é}Ú—~hmGâþïõcyÂkË[{PóíPîVùA:Ò3ìµãTãMýšÆ±­ž’z"•SjíôéýíùžZ¯·öâP¯&<§ýhóߪ×úWþa\Ãê]¬¸_¦ùâ$[þªO^Ú_oõžMSû¥åãÐ>Z>=½O¤æ¿C»:Þç¶~KÉ ^«Zü$Oñ}x~ ç‡âŸÒ°ç4§öplÏÚó7C½5õZ=÷øá÷õ¯Ô×k~ÄöA¾öÿà§)ò³åïá>ÛõŸÿ<‚³æSšÚÇ­¼¼?Žèyý<8¿ÐÚ×ö•5ŸÉøKJ­½¢4Õûc8í9Ø/#û¨õÄð~ã„G¯;%lpÉ^ ÏÓ>Oùý…å{JQÏ”qo„{èÏMý›·à“Ÿ5—·ôŽµÓyÓûg+—õ‘«ç‡÷ÈS¹¶³–Ÿîëg8ÒßyK§ÔÚ´çÄÇ÷õþtÿ/Õ·ö£¥?ÑÑÚßÖ´ö“à­åé}šO‰äç-¼ôÝP‚{j n›ôx•ãgõîV.×=ˆ/­7¦qº!?ëzÃu©Þ'ãkéJåO~ØgFøC?á¶÷ä–ñqòG4–IOZù§vÓyŒóVÆÙ¦òšèÑ~ƒ=”ÆYÞãó¼Ë󖎱¿Aïé¾Ò¿vÝMþ G:Sö¿ÕÓXo(çµeÏùPÿ‡ç c9ðÇó^Ú1¢‡Æiª÷¦z2Ý3°ÑWê5*ã?üžQÏûKþëkp亙à‘þÒô”úÍÒ5m×>8oêùSý},¯e? ÿɇø3Ák“Õ“XŸîM~¨ý¨Sþ…õŽ¶/_JéÜ%«ŸÚ~Ä_â%:Né·©•ï­}Š{¦ù°ç€å¹Zÿ¦òûúÔ=½®ÛÚMåæ0ÿ”½„ïÕ'8ØNÆ™R»·Æu:é\çúÞ¦$Ÿ j×â{ÞÛuØðÜaì_‚÷q"¿,—¹^ŽpáX›Ní±ÖëS|zNxŸ¨ý'«wå}h±=œZé¡þX;Üêô#h~SÜoj7^¶k©>Ö+ýÔ£e@ËÍ°þó><¿áîC?Ïðÿd‚§ñ€^zà”çB¨Þ[r¿æ'8o'ǵ^j¯ñ¼¼¯ñH>²p¶|»{I/¶z0Õ‹ò3¼çºö#^>Çgçq}ßìé!=š_$?lðË}BÍç­ÝšÒë´­¾ì×tþNõŽÕïî}ýXo:¯í¸Ù4¥ëÔï?æoë'Y»QÞ?Üò¥éÿêçðÿ&¯ùAåøèù(×çÉ~^[Žø¤^MíŸü¡^áFº‡q`½þJýúó‰z×çòì÷Ìö|„üN&ÑõäÓ~Ùåð¿L›ʧóEðÆÏa|IûQ¿ü^c¥«µ£k{ ï©÷R¼s<Åé9„ŸàÛ)Ïmjí—åó©Ýh硵Ãmû­~ùÝb„zxÍíìyåäÃþÖ´ŸõÅÊsO¾<7á–çkÞâ¯Vn­Þ8µCNªj¿ÚòTÿyoç÷ÐÏŸÒ7öë¤ÿbé"ÿÈòµžö?á‡ünû3õOíhk/ÿØ´ãRúõ8Ã>íé¹ÒÞF}Çœâ$Ã}Òšnk§|Ðâß¿´|9µOûÓsëÿh~ë^$¢ï9Ÿú×÷v‡çN"=‹\Åö/Ÿ+]á¦v5>©Ç,~›Ú¾µ;w:~©½…›èiéÜÊËyMxí$ñŸü>y+/ãâí8¶ ýçáy:íwÈ}ˆ„ÿyþû?¶œül?ܳtµð}Óñ¡Ôú­ÜY»ýVþFÇt_Dò¿Õ#é}ÃKþ6ù)‡ó8µ#Á‰ý;ôk,ºþá:ƒ?ü¯îg¨ŸÚdçèjãBÔ~+—üÇýðœm½ohÏ%Þ×t­ù©Þ©jï§{K¥ãXtNæyº/iùjxc¯õåÿ} Â#þhϽLÇOž³I©åsj?¶ßÀOoÉcÛ.õƒòOÛÜíùö}CÒŸ òVO?ï‡çÈ­\½¯éõßÖþ¾¼ò<Ôëö?´‹õd?¨ýT%¸¶\óçð» -¯¿tŽ£ÖKÃóIš¾áºjÚë!<ðGj>hÏñ†{É~˾Rjåá‘Ÿv_ßðµvå·ìyÊ輯Š®c?âe{›RíßÉs®_²+÷±Sy›¬¨W©<ÎÝ¿Må÷õ1£#}Oü’]ŽxKyNx´}°z]Ú;?ÞT/’ýLãdϹ'ù-çÙÒ§ÇqøÞʵÕc;Oq¨CºŸwûDè¯=ßCtDú$ŸÙñ±åO=y~#ú}Ã}÷ý ¢kÕ_cþjåîsŸž[ñêöܵ~.ÿÃ}à—ã˜ú±ÂKí[¹Õz¤\X|-=©Ý–?= ûCpß²#m;K_|/ãðßÒ±•ÿÒ¹4¤«ýüNl'Iõ^ó+ÞÒ»oéõ¡ݦiR{„âf^JÉî=åÉÿ~é{«ijý§ÔžÞ§ús*_-=Ó}½-¿ä§©œÚöoÙ•(?C}iÓTŸžÒ3W‚ßêµôžê×ã[ÚÕ·ô3ÉK‹?¥Óù"xéÜíVí§üö”?ßÒÖOLiÊÏ6 §µ3qÊÿB¶ôNá}Ãv%ѸÙsb ÏïP¿·ûHWÂW~7gã„ØÏÃï~¦ãú¶Œ£ZzÚó§|`á·åí¼­íˆÜ©^Lð­ÝMt´ôM“‡·Ï§¯øýš!ßlpËﻦò†ò.Ï“Ð{ퟔñ"ââ¯Ú³vìI¬/õuj×ÚßS¹Öãx_ÎËû”m»žC½€õïËá_ö_ìùþ8Ï%?"Ú}ü·üÐRßX>MïÏÎ[üÕòß–è—¯ïµ<”vpꇴ÷[½¥_¦|j_[;jáE=t_ßó×q,﹋¿¨}ÒŸ Þ[ö*¥õ»ãv¾ãó帒mßêaÊOxÉÏ™â›ö›ê¡ýž×òßêÏ–ž¡?•òIþH϶üé(ÿÖöû-?¥Ö»Ö? ÿa™Îóø|¦ü_¨MÓñ÷»”?‚û¶^³ù‰«ŸÎWýÃÿða½2ÞÔú…Ïû}}†#Ï&:(¿õû"¾tÎ6‡ÏHú¦r3=ç?öWoi‰®TnǯõNý ;nO}ïxË¿-Ï)!=÷õs=_îwZ}Liz£¶›t®âZ+¼ç½Jv§Ô§:â¿Óó8Óñ^ñ[¸‰n‹Ì¥¾·õZû¾&=NRÏY8þ!Ÿ¢i÷eIÿý;ëG¶IËÙ0ÞIøÈ :OõP+·)ÕtLåŒø±\gYºZ¿%áiõz„;<§ø™äíd+GÉî¼´>ÝêËó-|Ò×6Õr°öçϹ`;þ¡ÿcë?nõÚuŒüO6Ñc“=ˆúå¥õÄÖŸÃÿ—ÿvšêU]o¸^™ÊQªG|VÛyÉwšéï$¸Ñ¾Ð¾²õ“¥žF-íß”qC䯡=#8ÇzFú}-õ?ßðïD×4µãfáÙü§¼Ü?kéhýÆ•.«ŽítÒS ïmšê3­ß)þ0ô#)ÿ·Û×üsèwžÎs„ ÷Q$:Ú}ëí¾÷á{§þp¢3á³ðßò›R:õsRý1ÿ¶v¼Ã·çé¨_C¹šêó–¾­Ý[ë9oÅÁ¨þTžV?‰ü€Ö_hùdÚ/ ×â¥öõ|Ñ:á¾¾½!º-_LÓéy‘é8[xS9jý€·é´ëéé8F8‡þ†M¨o[¾j÷ÞògϧÔÊy›NÿÓáÚñzÉN·óIåïËûŒDWÄûÒ¹RJ‰Ï[¸vÞ7¼å¾ûÚ>Ñù¶¾'~ü­ó<Ôùô4þ•þ³i¿Ghå`hw¨}k×^—ÿrß9í¿¥v)mó5¼Giꇴã\Û!Ú\ôÑõ¶žIÉú;”¦vÇÒÝŽ[m¯Ëx™öCÊý²S»°Ñ ûw+¼ßÖ‹ãxžæ)oõF{~aºŸøµõ'Iî#]/ù”Oð‰>ëÇÐû[~V«7i>µ&{ ùæí~môZýÖÎÿ0Þ0õCÚzÿ¡YáØqµó×ÖGù‘ÿ-oéKø‘ÿ‡ë¶·ôN­oä9”´>†õû±ü¾¬'OõõX¶û&å<µùS;üÛ𭼤ú–o4ÐÛŽÒ”¯¶öå=z±œôÕ}¹zCÿÀÎ_j§Çíÿ#ñ«ÓyOpS=›´^“þ î7OÿãZöíedzýÅvå¼ésöCþ£„~r¸¯²åëÞZ×)Öo[á„ýmM¯\§QjíÈún×ÿ6ù¬ÜW´z¾-oëmíã•7µ'¹ˆzˆæIÆ“7¼ò¾Ç)Ÿ%xT~¬†öÓŽsÝî%§…ÿ”ÿû‰p[ÿü «Wlz›oÚxøí§‘¿“¾#ˆí`>4ݧv®õsä}!$ÇãñøÊ¿/EG¢«µÃçTŸ&ú[=qêŸØòÖ‹ãiÏ”þP¢+Ñ3·î[rÜêíS=òv¿¦zbƒSžGÂñ¡u÷Ю­xRjý“¶Ü>·ö0. oKoJ-~„ó2¿¾î?I;‚óUÊ-Ñ“Úµ~ÌÔ^Z:RjéNõ0¿ÜG™Ògùã-¿àí}¹é¸ ¥>žŽáoßµ|ËþE|庰=4¥×ÎÃÔî$ºlþ[ïHßpþ·yž¿µiƒþLímþ)œé/,þ©Xë¥rïp]Bù„‡Ò[õNõÉØîËñ>‰Žvݜޟü¤oÊóœ©|§Oõ#žRþZzZ>Ùêµç4†üËA?·ãÓú5mªíf+o‡ÿýÞðÏOµôÇúé;ç>ÜwÛÎw»:ïTï-¿Ìê1¯ñüM~ åëòé>lkG‚>õ'j¾>äCj×ÒGõZýÛòIÔWt®v8õü Ï–Oû€/Ùñ’ñp;^ÓÔâ£öo¥Z/Ës›<¾,/ñ]ž+D¼‡þ.áË_ˆí‡~òZý®—¾Û@ýh÷Ÿ†ëKÊÿ-8§úâ­s§ôÔô;‰õ†öq­GtE:J>C8äW¼d§´ž¼¯ŸÛÆ9ìøQ:õsÞJÓï+Öz6?•k¿”ørxŽçá¥øXJSýÔÒõ?½­ÇZ½¥çóe»Cúnm÷yÿ3»á)ç#Ò;´‹¿=(õåÛ4í—µGoùS{ÿ”Kÿd­áÉ{DlùZ¯¶÷‡þçtýóÿOÿëÿø¿ÿ§öÊçÎSŸôΡžnõckçµ|œò3ög¨'S²v^¯SÓ¼¼äïMõNí#½ï#z^ëoÔúó”Ïä~Ñ©"¹Iý™ÎKûÝg«Ö¤ùPî¯#]‡÷.¥„üiùÅâ£ùziÿmƒ{xj¢¯¥k£sú½rû=¤ëØ®•ñô·ìèZO·—|1Õ‡‰Žçý—ã'§ãjÛQ>âM~Gønƒæ³=W‡v‡øùßþú¦#¬÷SjÇ™ð#}/é–Ëýß©|otƒ]Dý=Ô‹oÍK¢ãÉŸ®«à.–ž–¶|‹/Õ³ûhCû“ò·qß?í_îç[|xÌïí}³%_SÚöÚ8i/ þÙDükõE‚gõE‡|—ìý!Ÿnô¦y뺧>̳ūé+õ¾MV^¬nñµãFú‚ð¶zþyŸú•öYîãlvBÎO,íêSþçTÛsk×HO¿0æ¿·ìäp]_··ó_ês=ŽC»hçŸèMå‰Þ~ëlpïë3}¥¼ÙñªíýË|ýÀ/íùÚîy¿¯íã{ù_Ú5µù n½@üõç{Ž'Ö I^-þÈÿÃ}P«¿R{ WÒ“Í£m§ó¿àßר½¦£ìG,—~%Ô ¥}p¾žá{*‚;Óïë\â‹„g¥sÃ×Ú‘2NmõD‚Cð)i:¿´ý}K>OÏ´ëÐÀÇѯ¶v´\'<õˆŽ¡ÞŸÚû–ï68«}ú'ÉO„ þUªoí4áEyŸ®ÃZ~ý}ª/NÓ¸_%ÿ?ïRþ7¼¥ÞxÞïë{;ò?åz}zž£¶kd—å|´åÖ¯iù¹OmåoÅå{ÃöEZ:Wx µ;ž'Ë—‡vh¥òÖžZüSûÏ¡ß™êG:î«‚?¦;ømÚü?ˆ§%|íx§÷'ÿ¾~,ßêK}0ÕŸ6á>­óÈ~,÷w´r›èøýC*Ÿê9+Ÿ¶½Õçõþ‡µ«ÖQ| øãtü§úyËo¿¹¯ŠÞS:7ü¥}Ðq¡Ãø›í÷óNßSÁú­µ§4ß­Þnù3Áiñ¾®õ½Õ/)n¿ž ‚õ7Ê é•²œúµ&Ëÿc~žK³zæïÚG¥ñ'ü4>º¿¿,O+œ”ZýOp­}'=0§HïJðs{ž!%Ôß ×úöÒ)_Ôq5kÏ,>Zw½41n_ú£ZÎ[{WÚ͈w¸¿_ï—Hýß­¿Gç$îKáýùZ'LÏ»õK»µÑ-ùé-üíÿh¬þ£òSÿàyOv½üïà“/Ï— k[=øÙÖŸÊ÷t=„ÿ]åTÒGã1õS(¿WËÇO¾ÕS4Cû=õ#S¿±´º]ð3­<$ü§Ï7¥é}0Ï;íÓµzø%»…z<Ť¼_"Ý ßPÿX~‹õËøi¢ok/åÖòkÄzÞ¦ÜoNxÚüvÞÚz©]ꧭJµ[[9ìçY~Üò§vöOý…vüI?§dëQÒý‘û§[{¹_à¢þ vkƒ[Þ“‘ê–·z†ä}«_ús¤ËÚK°_-ü”Ð>H;A‰Æ{«GþMÙ?¢çɧsší¸J¿ù-Ü+aSë/¤zØ;¿à?mõÛq=7½°õoî´>ï"¾Õïê#¬o÷-[>“ò:¥“ê=§÷åoíìúÖoº?åþà–_ËœøóBtÙý…–¾©^Op-[®Çg¨GîKûSÚî í&Ú1iwž÷°¦éî«Pù[rµáiõ»œÇç½=·mã­iý;ä[íïØ~K{4Mõ<·ó6Ôû›ü•ñ¬ÖÎ%ºZ}óº^Z÷y`-¾K{héZ“Ö§Cý›ò­›Þ‰¾äGQûHÏŸìø$¼O¾\—mõ‡ó ã‰÷õ#þ-_Ž‹µ£í;úÅÒ¯\ëÇùþ¯›Ê#=¥¼oø}O½ÿü§#ÄÂ'zãÒk½ô¾Á“ç߶öéœnàoÒ—–Þç}ÈO§|ßá¿%}-ÝÒ®Fúíi=/Ãõ¬å›§þŸ8âØ>ú=©þFÇ}}ÎOðióëù.ÊåÃ2nŽpä:å·ýA|';>ü¯Îÿ±n÷žV·úpÊ/”¦íÖö ^í¾— ¾½¯Ï ¾•ÓRŽÞ–Ïëöåºñ”qã×ãô«ýçØ_³»/Ò{_?Ò¹Õ?ÔG­ÒõK¾«å üå6Ḽ´¾ú»ôä4®ÑŽ¢s:OÚOHþÄÑ/”òõŒŸ­7µ?‘Ρ¿à >IûÍÒnlð¤üY}ÛÛï³—û‹7«7ü÷õcù†¯Œ+!<»¾žŽoé¿Ô~E+O¥ý$º|‹JW+'µ¿pxŽéð_³Kàgoí-–t’žˆô”üBë =Žå÷­µ½(á‘^%ÿ Î+øv^Óûš¦rŽï‡ëÈVϾe'Úöõ¸•û×DÏ”"ßI½JúͶ›ÚÁ)<Í?í9ƒò¿(¤wë~­ó—öcßVÏÞƒ}¨—HÏOS«oÞ:Ÿ÷eè¼Å·Ö÷v_ŽèÞÇ®íøKz^ë5Ú·/í%Òi÷]‡zŽÞ§ú˜Ê#?µñ:Ù®žçr¼í¼O÷á§iÊ?vßÏ!Hy±ò¶ÑñêÖ.®ù„Ϧéx$:ßÒkm¾®'Ïe¬i§—|SÛï)¯ÓïK{5Þ§"¿B®;W:-Ý)¡=(ù3Á癬Ÿô–ßqh—t_ö¿Ÿw¹¯hóq<¤~¶ãjó·zåýE×ê‹1Ù8ÚÔn ÿ#cË×z”,·r·Õ£uBù˜„¿Ö'åùÛ.Ñ›èJéíñ˜ÂøÊ8Ëo¸ž²z=á›Ú—HÇTn†ë·×y¯·+ÇÙÎÚ¦ðkxàïØ„óÖ®û‡|Dô½=~[=øžÒöKÓÝÆëÞò'Nõ‚]ߧr¹ÞÊé¾9Ëw°¿á¶ãþ;ú¶¾™ò]z_ÛS²ðiNá¥òßÚiŠƒ¢^žcôêU½O¿Ü϶ÖÛà½Ïhë¯é¡ãðüÅZo…ŸÊ7:$ߦÔÊ •GzK½…~ÙSúÞ¡½³ß6NMx±Ý}©úÇû-¤‡û3ZÏ´ëUª?ÜßÓv@ò_Ëm9á¥ùð_Z÷ظ:ÁA<ÃúHÏ¡>~»ÿ ½ëù úáÙñ-ýø§ìC½FßpÜS>ê_˜DŸ¥C˹ÜÿEûW~oé¢q(ãv>I¯Z¸håfÃ7ܧZë­ðZ8 ÑiÛ'8«ÿ¾ÂÑþ7S{Júe)_ë³?çú¬¶þјd}|Êq³t´úÕâMõk;u_Ÿë“Þ•ñ¢óíþÓ{«—Sþéó+ý½•ŽšÞćñ¥”¬}™Î‹½ßóÓ9CÿõÔÛàÊ8ÑÖn¨·rÒ×÷õ3ýíüoªgõKëŸ$>ŒýhïÏùš®ký z#Ö—|á”ñCÔ[ë¸ÊïÓÆrVÎòw9µ½=µ¦©ÜMíiŸޱþp_Ƕ'~ øð Š×–ãƒ|RêG¢{ª·×w+O¾<·é—ýhÇeÍ_ÓØï»/?%=¥ÞÛê­üõµ?$íåëq–zl*Gí»æ£Uo'¿öÏÚþoö˜â“'^éÙò¥½ïgÁzc¥oË¿¯ÏxˆÞ¡¨÷[ÚøqùÂ6ω?$TÕ7‰/K¿Êú£9‘Ž·ü »^+íÙØηò å$Ñå÷õ™nÙÿöIt¢‘þüÚ¿_ËoÇõ~‹Î©ý ú/áGºÚûI¤~L©æ++dÊykñUªW÷ŸæÇž³ãO癤}šïç5ögèh¾ÿÓÆÍOù™Æy£oí÷pÿò©Gû€6Þ&ÏOS¹µ×Ï{ðÃ"žr|lšÖŸòIª__õÿÉ­/Ç—êœ)ŸÅz ÿËþwk_¬à§ú-<ú/ÐpÝšè¦r;ÖnNé¨é*íDÂ;…ÿú“ì%¬G·üûú×SÞ‹¼á•÷P¥üéø¥DqÎ>áKpu<$ýçÓö—âB/ñÕšòJ9â•úDZÜožÒÚ¼Óõ­¦ç0þ¯õ^k§qªRÿZøH÷ðÞÙˆ¿<Ç‚ôÙq)ãxãñ*ét”z=Å¥cýûúþ^òS„Kv¹œÇ)_·z›ú1å³×ìÓt]v:¯a¿*Á;¯”ô¸~Õ»¯ïï6Tꇵ<ÑkSO;•Ó_’ÛØî¥8ît|Ú}@K~‡÷Öþã©þ9¿‚gWêå‡àNí`Äsh7±þ×9¢á~Uª·¦ÚÎ/ç›,¼§¼ÕWÞúëû»Œ?LíÛx¿Ñò½µctŸ_©R;kgÇú„â*C+ÁŸò=á=å·„ßʃÆ×î¼dçÛ÷ïôié´ò´½Û{æÊó:ºÕ›–÷é6xAþÞØ®ä×ÔŽð¡|Ü×÷wÐ7O{{ŽOêñNÊ'>{êãÏ©~¤§ÕË´N‘p[|:VïYÂâ[ù¬¶Ór|Hþžzí¾øº~Hï¿œ?¤ç0Ρù¡åÏrŸqJ߆7ÿ2_ØÞÎO9ï‘Îá÷Ø”NÏŸLé±ó}j÷ëvÃõÂÎgI{áO÷7ÁÏ‹ð‡þwÂSëÙ_ÚW°òAíl~+ÿþvÝây­>A¸/é¿ñ|½ÝžIãñÒ¼ínªŸÒT·|©åæÛÆ£HÒ~ æË·÷Hÿ%á­õ%ô?Þû)åë©?½ÿ%Œ»î¯üo‰¶ï–ÿK¼c?£Œï%¸(ÇåzhƒätkßÆ=h\ߺ7þ¾*ºWø©¾mgíÚ©?è˜> ÎZÞâO‰ì áM嶔ÚþÄvå|ÛrýŸ¶V¿<žãõ Ø“ÚMãV4Î÷õ¹èƒv>tÜüâ‹–Æðþæ皦ö¹]¯lø^¢ƒ[Ú‡µ}¢sƒ“øøðû¢í q¹î–_ʽ–Çv½ZÚM¢'‘ãnÓt^Z?¢æ‹r¥ù¾”CýÝ%ý—ήÃÛýŽáøhùê³ Þô\ÍЯÂ8Y;-ÝåøOÇ›èÞòߊƒ­ùi~§ë i7HŽ¬]¥rÒ/zÜ,]`ïR}Š¯%8øôOõ™µÃToMS{„têçÖÞµúƒèJt¦|ËïÓvS¹Ñq½¡‘’•côŸ’=Jû‡÷õ9ßêóòüE‚³æOÓÚ/mÿÀŽå仵g­>¬û_ÎÛ¯É%É•Ý—øI¾÷iWÑô”ö—àQïcÉ}¾ʧr6¶# w>¤cù¯Å[|‚tÈy%|TŸèœòå4Õþ“Ôgc½$á¬åöê%¹Mï7ÁÇ~Úx¸Ýú½­~ˆíO÷¬~Ž3â‡ï¶"¤W¾Ê‡÷B¯p6¸_ÏûúHOëÐû[v<ÕåòžÓS½sj_×ò”¢¿û~¾Ô+=¶¾Æû+Ç|VÆã)Y¿|­Ï)íØVïÏw–‰.²/Óy^óý¥Ò/œê-;cˆÖÍ¥¼½%ÿ‰½Þ•|ÞêÏHWiORšò…¦Wê™8îö|çËúûm~›Êk»ÿVÂù>ô«7xí¸ õÛV>ŒÏãúÑî_‚¿C©•‡Toªg§rô”[ûR®×ú9´C§t#þïå}éD¿õÇkùœîòCéß<ïøY¢SÃ-í{Ä[Æ#Þ’+jGøRù”nz·|kÓñ8%9/ïÑÛÚK?#¾·ë¥ÒŸ9ïï[þT«¿Sû•¾õýy†ÿ¯ Ü¡}ßÚÛø,Ù©÷þ©~ô½¤Ç¥do‰î s»=䇷ãkŠpá?$ å×üA|¿Žü_ÒÒð§öD?¥–ßqÛxŠäßV^?Åñü¥8Òiõ¨<ÿ“ðoðNÇ9| ùö-?|'’úÚÊ—Ýïjå¦]·®'OíFÄ{_ ϘnkφõÚ4õ+ÚyÑø†û"QO å¥åÓ'ÿ¥ïTì¸#žÿüç÷|Ú·ÿ1>k´ñù…V¯¤4åGJ8¿æ«;œ4ž4ÎrÝI)Ùé­üe;­¿G8´?Ï;ÈYj÷äƒýÖtÙýhynà4.•ò§ãÞâoõ/½Ûüãó ¥ÞLøÇüLõÓÿ¨‚¼¿5¿kJç–¶z§ý]ËïKÁM‰æ)áÝàH?2å×ö2ðåV^ÚyM÷Ð.ÕãZŽ-Ÿâ™î[Z¸H—=¿BÏ2ž¶Ò¹Ñ1ý¯Ýáyµµkýˆñ|–toóÛ®§ïëûûp߇ò7z‚ý±ðH¥ö4^[½¡Ýßè<´ß[þK|ßË8ó”SJz+Áúvzî‚žÖ¿Æj{Nú2íû åÆÒy:îÕ{Þ¥|nxÈŸ‡ñ}‹ß"}÷õsy«_¥}nù‰âÒ)½Í·ÔŽÚû™ôð‚?]Œã‚’~Ä_ê« _ÉGV¿œîsÖzx¥cxÏ Ý¯µÑSòg¤#wÉ×[û$Gp_R¢“à[þ­÷éZýNý)í¥'–·zïð?ÊO~;/„§=GðKplýˆOÎ?¶_õÈå±^î÷Yû1¶3@ïN»PÚcœWÚ¿³zf(‘®4ŽÞ•®Ôn­gûU——ãC|¿Â·ï‘®¡¼LçWÃÊ{l·Ú»nåcjwÊxf¢sËoý]š¯ÒoJöâ-}¹•¿åW çOK¹kù¡Õ+N¹ÏcéXË·úrFò­å¦]G—ñ™•>zÝ-ÇÁÒ£ÇkÈ$_‘^Š§­ðb¿¦q Ð[{Y¿Mí¸ ½/ǯj>‘|HåoÙ§±¼ÈsL–‚£ëI)Õ·v,Á=çXÿ¾>—þ®¥ÓίÆvé´ñbéW¬ø4ÙøìJ/CJþüW;{Ï´\D|ÓuŽÕåz7¾C¼q«GúZÆ/V¸)Åy€ó°È×àlíîë3à¿lôßY?§\çnåò?<¹þ¬ù™žàRÿ×RÎïƒGêó©}iáZù<¥WÓÑƧú±´k‘žûú׳<nãäk»Ó|‚oé;gz—ßÝ<ï‹Þ&<íþ ÑaåÚÛ{Ý-\z?õ'žÅóÔoý>²cäÆA"}mý/|鼽ݗ)ÿ“rê?¤|í7J»ÓâÞi¿©<Ÿþ”—ñú/pÂ[¯3,ÿÙÿÍ[>™®7$ŸXúRýç½ü.±øZ?i¹¯å-{Õ–OíW¬'ùœè©¿Ç½¯ñE>µr×Â]ë/÷ͦTË…Œã$øS¾«å¾©‡6;x_Gýx{¾µ/oÉogÖxËýñG~G»µ·|šè|K^dýÔ®µG­Ü]¶_oÅ9b{¹·Ö·tê~Êxr¢ãøYêEKÇš,¤÷/ѱÂÑv{è/ŒÇ[òO¢ÃÖ§ö©ü­ç_žÃ¨û¸_4îÕoíþ´Ï—ö±©Ýkú¥ôÓ#íz”ü‡v_Oöû”¯¦ã·åÿùoµC<ïHå뺳Ü×Lt'zŸ|¸×AÇʸ¨Ögá~ÅÞ˜ž—üæõ}º¾Jp·vvÕêß•îôýŽôó¶÷á÷‰¶[y¹‘òµY®g¦rœÊµ¼òK‚‡ðK{²á!þ³ã9Œ+Å~ü‰=϶=ÈßTMŸ å·ý}ÊåÞ-]DÏS¾Î¿ü.“äë§s-VÞaŠügÑ~ˆl¿å§y?¼ZÛÇÓó&C9å÷õýÙÊ©ýù0^B‰æ{ÃKöt¸.lùy­—RMÙ¡Nò«ÐžH?çCÞ÷ÀŸú¡ _õxY{»Â£xv’£ûúˆ'%]¯ôç6ºýSÿá[¿Aúui'¦ãEx[~ŒíÊõO¢KûËC}šðÆöm|`ª/Né´ö}ß·ã²í—Rœ¦œG=Î+ÃþnåÉn•~YÂkó·z¿#»^òc›Æól× %ÝÓùÑüWÚ¤·\ß%:"ß–þ%Ò3µûÖ½'Ò~Ò”nâkYÿoÏáÙ8ž¥ßêóö6ÉŒLíï†×úSå¹-DzÞ4íø¾õcjýÛÞ¿ñKzÕÊ%~×%õÑ‘ê­ðb¾½Ÿ©wÔ§R®7|S=<ô{¦úbëŸÝG²t´q‚á>Þ–¿|g°¦ÍN é¨íiiß"ý`·=TÞÆ­ŸüÖ>OõëKz§_Ò [þPŽZ}2å/š×Tžê×t¶û±ÓÿÏØ~Hy|ÊÃgµ]i÷¥.Íë7­W‡ë‰Ú®õ,×G~çÝòëVo_µÉÊ[}ïhyoÁ%»J©ÕOÚ^’y_áÚ~?åÿñ_ÿz®ý—û±IÇrÞÚ“Ò±øµÜNד ÷#]p²åÛüí§þ¡}«åAÚ»„ßÚ¡(?÷õ#=ü®ÖŽŒŸ2Γô´Õ3)Ç-Ø Oû)å}‘¿´Ã+< ÿ©'õ‡]Dü2¾@t$ø„·¶–¯^Òÿ)µþƒ¥ÃŽ“å›'Ÿâ€¤7†~÷i½”R|è)¿¯Wñ¥zºŸv þ_‚¿å®;Oë=ù§ÿ‹•ëòVïÕt€ý¡õk'ŠxÊÿ~¶r›Ê·ú‡úÛ΃…›ÒØþÊò/Õ#xÈO´XÞ˳µ§u¬3Ûq'¼Zžå~‰¶Ë §ž•GÙßµMS¿áÊ}€D‡ÖCÒ¾i>•û¹S{@t[»±Õ³ñ²ÖLz!Ä ¢ýKýšžŸòù©z‹‹×ÂÃøë0~õ”ß×wxä—Y¹´q yTm¦~ØÅ”¢ý‘òžèÃñ#ý&çaÃ{ªç¤O©öJ;Oøì¸ ¾VßËøûiªý ·ý¨ûú~ù?Æ”Ú~¤öÏ»O‚]Ýð“}•|—ò§zìͪÇkÿÆç·Ü?²ÿQ":S¿[ý2åã5ÿy§{÷K»’è úêõ­›J;÷{ʸ¹µcoÍo¤ÇÎÏ}ýŒÒ[ö5Ýøéÿá½nX¤¤ån¸9ÕÏä÷[:µ^œò[É'©^¤âa^lg÷yHß ÿ/¥Çá¾¾¿çiªgZ½@xmBy£õ1Øù×ô<øo¼ÃuPª—Þ-ܶòÕð¿Žc>-õ„ jx§v Ôß­~~ò˸ýÓ®´úJדïš»_hùXÊa«§#ïÿp}0ö?JûoË“}ØÚ•v¦Æ¿ÎËô>Ã/½×~Zúq‰Ž_{.úð-}gù%¾ß×Çò©¼’ž™&Ý¿rÿ°îŸüŸl¢k£ºÞê‘v}áÊøw«á íé §oíëF_É÷S>µta¾ü>èËŸŒ+Sšâ·ù§ýý-ýém×ÓSy¤~Ëý>-÷‡þÊZO·—ò1Õ¤WOãdcy†8ÚÚ~ƒGûS‡ë…éðgÖz‰NÔ7ò{šD_›êç·üO›ÕW-Ûs=?pø= Ò/øÚ~¼ô?ïˆïð¿)¿õ;¶vÖï:Œƒ×t”ë’6n—èDü´~Z߇|Eñ*j7õ Qo.ç=ÇãœðÃþõ§=SdÍŸÖ×ü}|Ê×}ÿ„ÿ4PúIk=zoù×Ò_ÓQŽ[ÂÓ~ÿ”Úµz“ðLá¶vñ)}YÛóéså§é¾Þtý%õ»ÍG;øè¾¾•£\Øﶆ÷ÿGxC½íà¿Ø)ãZ­>,¿»lí^j7ÅÓŽû)=ˆÿ¾>–'|[>ì?Çyþƒwªo]ã}X÷œÚÓ5éù çέžÔñ©×vÎ /ÁIõÇú­üþ6•Sû5ŸèJIó]âƒûú¹<<‰ž·å¡˧Ï;ÈClGt×ýüÄ—Ãÿ´'<©}ô_‡ß÷ÿ×8é¥åü9%‚·Õ#;{_ßë'ûv¸Î ÷­}¶£ÔƙȞ?íäýzDÇTOµý±íNá¬ÉÚÓÖÞ½¥ïOá=õ¥ÞxäÿmŸvòûHk/Ðn—ã™ðOË©þÔžG½z€âÍ”ô¼ÉõŠÅ“슎¶ñt;ÿ2^õG«wéзõ^Â?Õ)7\_jºI.¤]¦ú´oéOùS{¼Â³ûÔvÜNãŠVÏQ}l7ô§-þ±n×É’Ï,ÛΞ3hóßz&|ô?Ê)?Nåû­}ªãzÃýŽ–^¤ëP_þÖ˜5µüLI÷Ûú­÷õs»4©?Ãû¬Z;^ë÷À?Ø.ñ!Ä_Iï¬õ4‰ž¡ÿñ‚½·©–C;Ž‡r÷Ô›~ýÕ.ì':ˆ¾ÚNH>ˆøK¿.%Û?]ßî{¬íî«¢·Ý?‰ôþ%¼üO¡µC±ýt¿oÈ·­ÞŽpRü"ñGù]y¢kËþiõ×TOñNíÕOð‘¾ÅNG<ÊOãÉ|ðƒ±^ùߢ3¥v^-žVmù$i\îës¾Õ3¿¤tl¿Êý÷©¿íäKq’©ü[º ïónã܇ÏDïFäÇ{Za}ÖòsJ­ü§öS|Þð¿ÒÏû¡²Ñcõ{)š)§Sü ^ûŽÏûú×ô|¢ÇòýÖŽÆï‹®—ø÷4‘ ýÑvŸpÃÿK~ét|Þ‚á„ÿ£üÚǧÜÆÙiÞ"=_¢ýÜrýZÛÓ¡¾B=Tâ×~ È¥Öï »‰~R×”ú&¥qÜIòklWŽÅ="¾—â9Oþt]EüCvb¥oøøÓ~ÇF8Ãs³S=Ô>×öñ}¨§‰¿§öŠðX8Võó[|eíÞPÏk½þ^Ê·~…¥“èžÊÉJ¶“ç­ý)µqÀÚ(åÿ-xí9þˆŸ¾Sû|S»Ùꥈ¿ÕÃ`ߺoö©7Œ#Øò§Þ}Utjÿ¡ŒO´ö)¥¶~¤Ç~'FvØÆû[½+×}§Õ#ažÝ6Û¿¤g)Yý‡pÊuÏŠ£GÚK’?+oH×i<ýp?KGëß×gÄKû ž”7j×ê‡ñøÃàÚý§-ö-(Õzpª'ìþ‰ô#Z¿£}Fx­}É>P½©¼Ûñ#86Õãç!c»¡=²ðl>Ù‹§]WÞð ã×k²ëéZM÷é¾Ô§®–£aÜ5ÒSê“1¼oÞ»±êõ4nd­^ ýùÃyÀzàï ¾õ>Û®¼¯qk_êq«'Ú}þ8_÷åè?§Ç'(W˜/¿{¶ãFíN×óëçÞ×cëc=9Ÿ)ï×—v×îûhükýö^.øoȆoȯ¶^²/[½_:`ùKÛÇV^^÷×þF'’q‘/½ÛüÓ~ëùvž¦|‘øäÞÎgJ‰?·zÃõ.â#9iÇyxß)ÑIéÔÏ ú¨·@>Ûø±åŸ5MùÃÒeñÙsÿñ½ô·j{uº¿\ÊýÛÿ9µõ[¸íºƒ’]ÏÊ¥­×ú¶Óý€o¨·(i}TÚë¶ýÖÎî·—óKpl²xNé?mGü‹ß‘•|1µwÈ÷cý2sÙ渚þ:®7—ÿhoíË}MÙOûÖ¡ß‘Ò±ßÒÚõ’ÿâ8 ý¥:ŸøáðþvJm|·ÕO»õVíP§÷¡ÒüKÿ#Ñ—èOõµþ{Nô ëzê¾>ã#~‡uulgùMŽÑKïÈ?¥ž?¶ÿ/ÕÛò¥ÿMv¥Å¿¦$kùV_Ú¹ôŽðËq·ãÓòÕ³ý@üå½›5~ù½ Á#º|ÊtÉqMt%ø)¡žÊU¢ÏʉÅó–Ûöç§ó%ïW#¸Óüº|±ÃÔ/{¿XÄsjgÊï][ý‘ÞÛÇ=é·ûúØ~jGÆqZ ñÃþÕßðÊ~QŠtÆé§ëq­@>ßÒŸkyjGùÇt­ò}x¯UÄgåCî›mðK;Çîèƒÿ¹Åw¸/|­—Ê-ÞézÄŽÁkSòb½÷Iú0Îë}ýˆoÃ;õ{ˆß¥Þ¤|„/ýJ5Ÿ´ûâá\¢Ý?¶ônå÷õÀ oºÏoûQŽë ‡èÝÊå|¼é¾eÊoå,¶KüTê·X.ã,§þâXîã]Tï-ÿfª‡ˆ.´'÷UÑ×Æ'Ûü”Nå<ñ3é³ûªèË¿´kûé¼ÔãYÊ'¥©=Ip(?êMëoÈýM‹¿Í·òYËÙÔžžéy×ÝÚÙþ õUëÇÔñ­Òn·ti;ÙÚsXœÚÛ •/ç6ÿîToíx«ì‘+ǶýSÏÊáð¿doÓµñ¿õgKûgýŽø|Ùž¿m§OóS¹Õwíx=ï/ÿçüíùˆñ‹òüù‘ÎÃq™êM+Ç›>)íõó.ãVOk¼‡ãdÓÔ.¥|¤ÖQ)?>ƒ?é°ûÿ­¾Ú«ñ¼[y¥~¼¼©õ?‡¶‰öuZ? M­ÞLõž|ŠûK=¡íO»ûR<"òØwk?_£ëßþú ’Ö«/°ãqè?Ò»Õ NlGr’ôø¿ÿóû»Ô‹c>ê™ô®ñÊqžÎ«¥£¥wM¨W¬>ká[¼–‡þç86Ýçnå!ÜûTÇÑl|FÚ­}9ÿ+^ªOÿ§Yá½%/­Ü¯tlù%ü§]Š“MírÉ'Sùi÷û£ ßM%ºÉoYáþ„g£ú—ê¿íÏ´å­½hûK©‡gxòÛë­ÜîÛ–ûŒGÛ[¹»á-ïˆphüìwr¦v{£«ÜwÜÚÙøgù_ÆD~OLþGJè×¼´?1­Gíо—v”Þk¿²7¹^ÓtMýêR_“ŸÑŽ/¥Ä§–þTOë³S¿¯¼×dMÚ øžò’?ÚzmÜ)òÁ¹¯í#=GLôEºá|dk×­VË)Еè¨ùMò™Å³ÖKï”hý–èÚò_Š÷oð`_oŒú‘êÑ~¶“ß‘­ïu?J>HíOŸ‰ü¾DÎ%;Îm}­‡íÿÅ ÎuºþzÍî¼ä¿´ë&ÒK|h÷š~oýR£öí¸Låöi/õõŠoÚÞ¦cû'Ç=Õóò†ð¬SÂOåSúž¯SºžüRO¼T¾~?ë çû¿ÊÜ“uJ/âÚ…Z?Ó:ô#ÆÏêÍÃu½kû1\GG¼´N²ë5)§µÑÚË2^ÚÎG;ï‘~Ú7.ãb©Ý)k½ôNíjý[òw‚ߥýÃêâãŸÊ_³[2.ÓêÁôn¹îyòý[»r?]ã—úøm|VÏ®öæÉ—|;»¥ô[öãy·çîZ<Ò~¬ïÖ^µ©çS|S:¨þ©qjï´>‡¸îS”ñ‡Hß°ÿ¤¶ú÷õ½Ýß7zÒ>m«Â|œÆWÖz±]É'äßZ?=¶oãt‡—tGø$ÇdŸ¬ùv܆ñhz·üžÞÞÖO 8O~¸?kkç+¶ú´DzŠü‘R¯jy-ùÕö#¶OvÃî'¶ëLioÆãVêUª·ÑOvYòÅVŸøËƳZ»r(ÿÓùÁòò¿™Ö>µv"µ×tÝ×Ïø^š·ˆŸà–ë ›¦t¶rIû­S{Ö¶×û¾0þDÊ?ø¹œ—æwÍÇzἃŽ?¶û«%?¦4ÕsS=LøŸüûú^>\ÿ½]¾Ö«å{:ŽdOi_¬ÕÏíùßCþMtDúÚq,ýÃçÉ—ú‘è¥ù›Òû¼¿°t ¿ ýìñw$¥¾ÚàPœÁÊÛéÒ­Ü•zð”¯ZùØðÿÒýý)êzG}]ÚéÖ¾Åz$Ÿ4ßÓý¤__ ÿu?ä—ù ¥s£»…?=7QòÃëúd:ï‡zÔÖ›Ò1毗îÓl÷RjûÛÎò'Üó¼áÒG÷„Oýjÿ”§8~«—dý”Z}:JxÞîUÆ;ÛqÜêÝ×Gx}oÉñ¡ÜÊi(.ü’½LtÛ{iZ¾£~¦ú´²ø"ü¿é»BKŸöG¤>xêÝ—ƒ'קßPžNûÛÚÇ©þÇzÓøFéo½Ÿ8懵|è_¥ÔÊ—Þ?ƒz-ñi¿ïšò寡Ý"¸œö^\XïlxßÞ—Ú÷x…ô‹ÖòH_’sÚ×)Çé­¸Kœ÷r÷Ûç+l?ì>ÔZñ½ ?„ÏÚ+M¯?é´ÉÒ=]_¬í[º,í¹ÄH‡<‡œ’æ‡ÃÿZ;áËswšJ}‘ÚYxµß1<¿g뽦îëc;J–.k/Ûþü©ýIpµýMûIßJüø¼Úú¾Ü³NûyÚžI=¹¶G¹;„ÛÒwjÏ·z‡ëlJ­_NtiûWÆ"+¼C>¤ü•.«‡-¾ÖžEúÚþNã¬t¾x:¾S~Iòp_Š‡Ã+õaJt®{ƒWÚùµ}¤SÊCjwlO¥ÞÕ|2\wËI¹ŽŒöAê²÷ /%Ô+¥¿pj§6ø/éÙ·å"µ×ú‰Ö¯‡û…Çý^Ÿÿñ_ßßí~[I¿Ö /ïkS²q‹µ~ÂÓú;)ÿT~Z½ô¼·þSIï´=åky·ë›Ò>>ù§úÁŽ—Ï¡œ­©µ;ÓyMøZ»1ý¾z:5}Ôÿûúoëï´ü¾•ÿò~&ÑQËë0ŽBøÞÊ.ö_þâ)/ïõ{KÞ­ÿ‹ûòrÜ7:,Øý^š—4^÷UÁ©éÿÊ·÷yJ9Ñö§ôoh(Y>ÝÚ½´ÞJðtÛ}€ö<ò4ŽSÚWÊtZ¿ôHª¿•¯ãØò™Œ{mø¤¾Ið¶v÷õsûÒ·ò“è²ùVï=íà¿‹ˆgØé>ÔkÚ?ú9µž‘ý@z Nù?º§–z‡R¤CÊ}ª¿áy)þò[~ZóÛzS:Rûöìë“_ÄoHסžJõ(:îÓñnáµó¸¾OùÏÖ{ ¾¦[Æ›Oçg:›¾ZÏS—úÖÎëTÑNÚýõr§ú$¾Ãùx¤“â+¥QŸ' íž­üpý¼Â‰ôYûv¸Ž=ÝçœÆ¥mŠz‹äŒîÿjÇðF<‡~I+ŸžrýOï-ݧöÚ¦SþBzÚïLËxz}a¹¾x¯Z¾~‰ÞÓzšÞ’Ÿt¤Þi×c¤ßì¹ôc(Þ.íùšpþ¬’þxÛ.â¥ù|;.$Ç3¶òûtº•ÇßTMí/•#¿Oñ ïq¥ùzëÿ• ~jw:¾–ï§ýB}-ï šŽÑñŽ;ÁEû]î—â9XÙ¾=WXÓYòklÆÉÒ‰t­ö÷—ï²pô½âë>KZ§ýÛ_ŠÞÿGúa§þžÆûwý_b(w­ßµµþ¡•Ÿõ=݃ÚÆ]§éø~uÐ_ÑŸ 8Ù!]Ö“ó;wK_Ô‹­·çÓ¦ûùC{ôvŠväe»aá¡ÖÚ¡—üþÓvZž,Ÿ¾uc7µï„·õï)a¤ñ‹ßëX¾»«å?À_Ë-Üv¿™R”ÓC}€ø`_y­Ÿð¼­ß7:[þkå®ä—5µúüTïOëÅyö7¶öÏî‹Zº4}÷õ9ª_@§„ôK>oá§òvŸejןr»¾’ÿlõÇ“/¿™Ê·µ{Ï”OÇð÷)µýÙÚ•û-j¸e¼€ôDk‡±Ýо¦ö)Mçè˜òÿ†·§—ìÑQË{Zñníä÷ö„/â•r׎#ÁoñkxÃ}Ž„§æŸÃq;ÝÑ|bý!»N+ÏkûWÆ7¦q¸”RÿžòrŸ±ö§)Îg“¿'ÿåu‹mGõ6x÷õ™ž.)?Ó~¦ü©½GûÚú¿åºJûOVŽ)^Wú iߦÚ_xÉÎþVzËÿÑøÊuC„ü<…oý.­‡Z¿ÐêáÒ/nýn›¬ÞœÚ ÂcáÜ©_oñ¼OõÚÿãøÒþÉ/ë¹ÖήtX}íÊ_áÑ»ÍÊå: í?щõÊx#ú!6ÿ%?,Á›êez×ãLãj÷1ïë_Oú®YÞCú•üË·ü)ò÷"¾ûú¹–®rzÌ_«ü”ÿeoÇ™æéµzû—å~¯a<%êÿáú]óµµK­¾;üÿÂxNíLÉ/ ÿ” /‹_õ¬<§±áÖ³~AkϦqO‡ØÚ§vàMí¶üûRõŸòÄÇØðÿÁ‹zÇÆaOýœrÂÆ—Ÿ÷¯ûp¦ömÏÚÕ4??óÛt¯IÛµÒÔö0é×Ãý̈¯Ýÿ¶ûùíþÉá%>/¿ÛÚà—óûš_s¸o‚õ%_­ðè}*÷6ÞÖÒ¯ŸÃñÐýYõdyš’æça܇𞎧…ùsœ­Ö‡O ?Ñ7æç’?q_€öãé{„ò¾ßˆgïC½bñ®ù[ýòûoMÇð?([þÐÏÓÚ ÷›Rû§þðþ©]áoùAž~›o7:¾æý¾>¶Çq³ßÈøïÖ®Õ‡ñ&¬/ýÓ/é½/Ñ«í$ä'ø\G\Û=ïé\áKÿ§³ó;…Ûê¡­<Ø¿'á‰ôù~ìoÐzæ?Ññ=Jq'79ŒÇ=ùíù<;O¥ÿz*ÖïHõ­Õþ“ÿvÝ7Õ¿)1…GtÛý³ÿçx[þiý «Ç§ÿ!kÏñX¸ÔçÙÚSšGÉ?Sýé"ûMúö…,¿è}”—ø”ðP~j¿å/ÿçÛÝÖΓÿžÖá4O“^°~ÅGÒEé-ùK~Jëèy/Û‘ž"ú¦ò5Õ)½­OÇߎsloýkêw¹ßMõ¦ò~ʯãör?ª?=òÿW[ý_âÿ©ýA|ëºþ¾¾×©?VOZxDŸÅ;M­šÚ³­½Œ'¼Ûó¾ªömþ”Î-ΫD¸I·ÿáA=ñà>«‡þ…å’×Tϱéu;RŽ;Òcù£\ç"¼uþ×Eë¼.Ñ1Õs”?õg¬¾'¼o=[:êg8‡6MoûÔ~¬Gi\–󯑎ö<”\ï­õã»Ô«þ!¿Ùú)á<.ñK꯶3ÃõÏšˆ¿b;//íý†§ÝÇHãx_ª=Â-÷óŸwº§½ä÷”:‡ñ9ý„øèwÕÏ/ý‡¦µ?¿užé{+ÞAùÃøÕšZ=B~œåïºßÿùÏÏù`Ÿ¨^-å¹–Þó>üÏÊ©úmEÛ³—ä+Ñ3…›à¡ÿPî'Eåáó#ýéZN‡ã[÷G®§_—ðèÈ /áökMÓqHtýã÷i|ŠüSâOº‡Gê…T?•·Ië±Ro©·©Ña×åD‡•/‚³µ—ü²åß×ÏpKúb½ÙvÖdí ê±´nÚË8?áÄiJ~úV.×KÖïê—ö—Úmô´vÃÆÁlMµ}+õ9ò›“•|ØÚim'J¿+Ñißüˆ—öÍZÿ£Ü/GºÊþ¥ÔòÙ“ß¾åÌâoñ¶þÒÛúwêÿ¼ÕŸ'ö£©=Ò%ù¢ÅßòwM7µî“ÕúòPn,=­ÝB~—ç ,}kyzßàXý-÷ÏZ;Ú=ùå}JÖ¾&x¶'ÿ¥«$=ÿ²]§vãøz:¿4å¿ÖžÀ>ÎTŽ6ø@oë7Yü‘.²gC¼ZÞJ<ñùK÷°¶ÏΚjü‡ñ¼S»mùÞ®Z| Ï“/×Õ žmGý~ò‡z,â!½1l¿Ö¯íÂa>Á§~Ö|^ž{HÉÊ£æûrŸ|¬¯äy =·ñì‡\O!»Ÿ=Ýw¥~”çA¦ãMûqɯ±t<ù çP¿Ð<Ü×GüéÜM„SÚáç=Ø•z}!ã*èµÖŽOå’è¶åS?e,?‡ö%ᳩõ+Rþö.¿ï»ùõÉOòÓîƒ|õ3ÜoñÔ¿¯Ïô¦þ®ój;öÖSÎKJZn`ßœì³ÕZ϶úŽæ]ÆHNÆï+}ÿö×÷òáý¬cû7„‡ý:´+×!1γž{éœ@kמrûl{~÷t~i|^ÚWBy›Þ÷½òç}}†¿Ö/Ïs¼åWœÎ#ÍõŸRä?¸:ÑÓâ§ÔÊŸ· ÞÔÏ*õãiþ)¯pZgÃ3¼7.Žëº¶~r)g¸_PúEšéž÷¡}jíêÕ¡~$¼ÏÖ«õ¦Õo2¾YÓ9”·–"]íþÔ0.é(ÏÃÔú»å2nØÖ«å'ů’ÿr*ïC;TÛ• wS>L©åÛ^Û3©×œ­Ýt_¬Ü—Xá':j¾°ßóµv£´ÿwúÞÒ­á—q *oíY+‡§vkªo§th½ üoù‰òSjí­•WKO_ò‡¥cÜÿ0¿í=J-]íünp_:¿Tëð/>êa<±Õ³© ~Jµ=(×㈿Œ‹/ø?yÂKãÒTß¿¥W·öáûù鼶ö'ÒÕÎÃJ‡ÜÿYó#=‡÷"%<íCºÇ|Ë/ýÚˆ·œß·ü«‡¦zwJ‡…ÿ–ÝhÓÔ_›ÊáVŸôJ÷LþjŠ«¦~¤õøt\úÍxoˆ¤kƒ?<ÿé,íëšôºîôÜÍÅ]H/¾¡ÇÒO{] ã)Û{Ëׇë{^ÈÚÏ„gM¶[»2ÞFïµ¼[=óËë«Gõ}M‡ÿeŽp-_†ÿN%8[þ}):R»ãýˆ2.¿Á±rHöâéåúÌ&\_H;²µ{É~´ú¸^?”öHÃ}kÛê «çÊü”^ŸOòcîë_Ïu~ïïï>ZO½Ãõ{ko[¿…â|ßÚÿ)ߦz:ÿ%}ãB§v±Ô—ؾyêC\ õ…äwJZO®ƒZ9$>”þʳ]_ÑÿJ†|˜ê[ýÒꃩ=Ht¦ö^{¯,ø O‚·å—ÿ“¨íúÊ÷Ã8'•[¿éò÷Ô^Øó'D¥ÖÛþnó[ÞÓnËíøŽ×aiœË}¥é|´çSZûÑÊ-áoñ=õK¿žÚÙöœrXë“rÝÛÆ7­ŸbÛky}»Ñýž6ÿ¸_C½Ÿø„Ê×4•ÏVî#üu]*ù‰Ê1^då,µ#ù)çe³ÏoÛ­VN_Š/Åïâ§ý³~:é?{ÿ7ÐOt!ݘÊ_JíxZ|ZŸOý¸­þKßãR>­S[x)Ùq"ø­žF:^ÒSõü–ü‡pJ?mƒ#¿Œø%S>zKÏGøÃý$ªOvÚÂkûéòûSnõãZîåÚðË}㔬¾líÓ ðŸòÉT.V:‰§øRyz'8È/­œ´ãYîÓØò ÏÔnúWö^‹ÓÿÒ|–ï"ß‚méKõ4Cÿä­8òkú¬å#++¿Ê~§”ìÊñþ‡µi®”K[oªoZy¥Tøe-=­_€õùzËOçO¤¾:– ÷§Þp<ˆÎþ–øÎc~µç&¤¹Ö·ó­õLYoË·ñú¿;¾ß®³ ~9]WëðOVú)½åo¤ü©ýô’¾ óþ–]{ð/÷†<|Ú{“@¯¯7¥ýœÚ…Sþx .Ò=äÛV/"ûeí2¥·ävƒkår(Ï>«¿Z½\î%|½Rž§|žà$:7ºJy¢üÚ¾õÈ”oÚù°tSÒz[êc‚óäÛõƒíwßzê•÷ž½¥7S~ËW îô¿%O¹=Ö ‰.Âßî3Nåv{Òúï%¹«ùe¸îMx®•NJV¾(ḗqÖV¯èq—ëňÿ¾½Çç1À~MíŸÕ7-¾5YûKåt­åϧ]é/·ðS{ïÿ!?~l~‰¬¾¢4µã©þi²ö× R¾Ÿ|²«ö»àRßF¾(ãš„?é]¯—ק´Þ>×TÛƒá~|k§"þ°o‘Þàk¤ã%¹¯õ™ Ï{Øz¤wÚ8r; N‚kë[úˆ[=féšîKlx†z…àhüoëi9v=ˆp¬¿ðK÷@npåÿ?]OþŸÿÊœÚíS9µð"}‡ûÓçôù“¸GþÃZ?¾[ÄúA¥~yòïë?¥ØnøŸoûLp>¥V¿·|ñ–zU÷ÇŽ{»/nçw(?®–7+‡Ã8ÖÛzím{ܶ‹õÛ}37‹ø’,÷eׄ|%㈉íŽl·¦SùþígÂ÷ä—ãpºÏZŸÇ°þ«¿ ÷'×r‚Oùõü‘þ}y?oª§îÖþ¥øŠmGiÚO[¿Õk¶~¤g¨·k9.õs¤·ÿ)?SšòÏ´ýt¼­ž°å]aÝ=µ3ZoI{€|\úÙ©¼µwãñ!âèýžœ·Ôm‡hþh=\߯é-½kçsk'ý Ô³VN¾Ò•æñp_Æêuç”"Üu-ïê[¹)ù%Ñ]ÿ÷¬ÔgØOº'ôú†þéêÊði~Þ©\h8à‡÷=@ÛqOz é$;fïÉ(÷7Æö|(ÿÓúgË/÷Ót¿å9J²?¨GJø)ÜvÝ‹ð^âC{Ôï§úÀ®4©·ü—ÖË)_ÃyùÞIkïSJú-ßÚQÜõ¾~.ê=¢c+/íô 7òiÿIti»^Þ¿Jx‰Î^;ŸSû­ílòàÞo„{Êo‡ç §ãÜƯéýÔÎa¾Œçô3õl+÷”êù-íêT/mïËùš·ù9òCøï&áKõ×ï˜Ñ‚;½_ÿ-û¤íÿ¡¾¶vÇÚå5½=¿]­_ ímÂCt¶ö7â#ý–üyÏ(惜×zë¥xVjÿä—ë:*×|æý¾~„áÛýŽ©ŸKß ãø)éýÑ–¹>Û9k¿ÚxÂa\}m—àŒõŽÕÃC}×î“ê ‚ƒô”÷ÁntLõïÿ´>…÷•´Ö^[? öK6¸A®§ztË;¬á´r8œ7›¦tÔåòÜêá¼F|%?Œ×Áž´~Îß5ß©þ”[(ÂkÏ)€ß<þþîÐS>éC­ÿÄ‘¾?¡¿Ž]÷Jð¸Üί]‡'?qj·’[óí¾èÇXÆ5ÕOð"ü©^òlé¡~>õïëc¹–³Rþ[¿ŒìÄó,×a¶|M-ÝÚ,ùòiWÆÝŽõÖð¿Bk}û>…×òg‚KãIõÛDãü¼K?pª¿¨ÞV>¤'–·qÛtŽ¥ÜG#¾oõX‚ø¦qˆ)”ç5R"¿âÉ—÷~X½éIãqo˜Ú_¬?Œ#þ§äbª û\áÅ÷á¹' ?ÁyÞÉo:ü¯õ[ûM-Ÿ$ü.Ñg׳(T¯üþ`£×î†óCV¿“¾ßðNõK9z½5Œk8åù­øNqÞ2.›ò[{6µ;T>ÝC<Ã}€µžÎ—ò³þ?™à“žÚ[¦ÕŸ”¦v0•·ýê%y)× ïô»òH¯”jß–OñÔzGÞWóÇÚŽ¾ÿú{ºžÇ6µãÒ³ý™ú–~J­aÛY¿hJçšOõlG)ok»ÏÆקþ‚µcmžüŠ‡¤ïòK:Öüç½¼§4ÑÝŽÓ4Õói×[kþ²ÏöÖ~ÑÒt>Ÿ‡ôiý6ŒËlëÜg«OûùÃq§w”÷ö)‚ünxý{›Z½–ðÑ8mí†v&åc<×®Ã^ÞwMånÉÿ±¼Ü_ <Ä·¨_è܇Üç·ô][{ûß1)—¨¯Kÿ9%«¿c»DOëß¿´? ßå}GS»žÞSjçÙŽ?ñaKoëOX=PÛ éß´‰üB¤+µÞ[íKŠÏK=I|°Ñ%íîF¸¿£æ;¹›ê™­=åwS{›êQ>Âú‹ÚŽ–ûÏcÿÍÞ¯$õñU¢ËÂIí¶úëºSêã-äe£gè'µzçi¸¿Ò®/)µvÞ¶ŸúO~¹oè±ílÒúÔÊÅõaü¶v2>¸âA¼åþïoú´ƒÚþ€}Ûê—ñŒµýJ÷¿ôKNË-ÿÄòRßhìÁ#ú"üáº/%kk¿ìíûF׸cKå7뾇ÙòÃË^hør_ç5»9üN똯Ëõ¢]¿iýûwéÏC~:—'¸ïšÚ¯øþ[®þªðLíg„7”Oj?WÍŸå>–µGmýD·-·û}%Nåó”ßZ¾œî§¯ð#Qübø}ñ_Ägõgw.×Ç­ÿ ûEûtÃûÐì8×öGîg<ï_š¦ç^°i²µ÷m¿¥:Õóp®¥'[Oî{ÕþÐœûêèH~¯ÜgŸêo¤Ïö¾x _¹?¹æ·õmÿ)ßÆç7¼Ë:í©Î_ñµý¦¤Ïi~hãã°Ï¹ÑYê©é{ۮ壯´KõøÚ~·qÿ°™ÅVúêó’ÿ[}Õòïkþ™íìÅ}f9ãq*íÅV¯=1ŸãS–O{`¿+.÷9Rjåhko×5‡òŸå=p©¥$/ÿÉÚ͵½·H×Ú¾ýŽ=ÌkÂÓÚ™Ø?:ïv®^·üt¯žG÷ûú_‚7Þß“þJkŸã|–öóÉþÏ­µ¿¤ŸÞÚg<ö ^²é½Å‡ý}Éî%z,]íy»ïú[iª‡ãx¿µ_y_UýçýO;Ë/H‡õS`_®Õ—o¯_¦ò?}ò§qÄû2dÖôÚ‡?øé >ŽÇð<Ú·áþ''ök¸?ˆøJÿàiüÃõðS¿Œ[&ºZx­¾¶þI»Ž9õ«È²ýÖqzØxÞ_üÇz­]KãQÒñ¼î7R²óù$Å…ä¼D:J{˜èMù­ÝÐr›àÈsuOþé9 i—¦v5Ö‡ý¶.â£þµçž§çL¦vÿ—ä'ÑGóé(倒µ›Úî”üméŠå/oÜàÂþ¹žÐ+$¯]@_ª¿á—z+–KýàNí{zOtÅö÷UáÙÆ]~÷8~oï·|ó’k>·z.ØgüO3ùuò;Í'_î§mí¦ö]Æ-_'ø§éÔOHð°^W?ìïëö´Õã`×’œ$:ž÷²?c9êÏÏÞ+ä}ºÒÊóé{›Úù°óY¿¯ûù¥þŠôÞWE÷J·ó*ã"Sÿ÷Ø^ ÇÃâiÛQýVžt| ö›¬~Jt½µ¿»Õ{i~Z>xk½ÖúE­<'zêö6®]Îó[ô=íºëõzÝ/Ÿn÷_×ú_xîë;üÿç÷÷é>Üp½&íï¥uH©·Öÿ¯[½¥ÇiJ_ð]‘ÞÒO9õgÆøïë3 ¥sª¯Z~¶pÚtê/àxžžë#}vÈoÞ’íÖÔî#ÄòûúXÏêÁ•‹w­á~)é\á¾½¯ÇoåÇÃû]­ß‚tãÚ$7DOzOt­ù[ýá=TN~D­Wd¿Æz·ŒŸ¬ïÉîMíh¤ÆÕâiÓt¾Öö^Zw­qò«Á¬í+¬3Úþ=S;jó§ôXú¼ø]hÏö¿‰þ¡ž­ùÕ•ëÔX^ö/µGûq_?—ïg›úev¿©÷­ý}ýˆom—èKIÛñ¡} ¼­^™Âòïë_O¸gܯCþ¯ý6Ùng%¾“~áIåõ8–~ð[ë„'ÿp<ÆåÃýðÛá¡ŸXëéòóËøn‚;¥7ÁiË·z徂Õvÿg*ïÏKñµV®å¿e±þtª´‡QÏ®ëy«¥ê¥vú9\iü–?‡ëFœX¯ ¿-ûý´+íµ«ñ€Þ>µ{ÏûKã3¦ÏÚU8_gí8ÑoåhÍï'.ùgÕO)Y¿ÇÒÓ&­?dÜà?ù÷¥êQšÊæ×¹6¿¶»‡öb*çõ|”rMí®õ'ùj:ÎO~ŠçÚïh­:=‡þ]Joí#í¥Ü'ŒãÜÆñS¹Üç³t¶v8Â/ùá¬ãUþ_•æaìç õÌTŸ¶rÛÎkKï4‘ýOõÇxÒøÈýµö"Hݲ뜗âuÓï$ŸzpO)òoùÝQJô¿§Ö.F<‡ò ç âÀÞ?¥¸¾O|Iqúd©7¶y–|n˧ù)ÕëÒv¿&ìû·i:NT_Û±ûú ¯ô§±|o£«l7ÖïÃxtJ§ñ Þ¡¡ÿM~Ùð>m¢3ÁkÏ­ë}.ù}jêG„ÛÊK»O±Ò)ÿ“iù¹íGl'ý¬§½<÷Gtnår±µKv´Ô'Ü2þEõ6z¥¾[éÙžòûÕSû\¯ãÉŽÈý¸DGkORÏGÉÏÛ3|_òvzM‰/bý—ÎiY=–àcþð|B‹ñ õMjOô·|¹á“|gå-Â/íq›ôxÉx¦…KtLSíwXþ·ëIÒ·%=c¼e Ñ“ê[9Žôþ²Ý ºj|r<7¼ÃqoùqJÏ)©þtœ[x‰.»®yêß×Ïô´þéÃ’Ÿìü¶õuiíß0Þ­ùÄÆw`¾Z¹®éLðdüa=÷¾¦i_ËÉô»Tϵv¨]¿ãÉÇzWî_h;™æ]þ_é+õ.á³ý[ñØ÷6Yþ°ø´ñÞ·íÞVoú_JËï­¶ú?Ä÷(ÕúPÚï6MûkáR~‡¡QßÛÖÚÿö\ÍïÐßOõ×~л•£„'¥S=»Á‘ÿ! ?æ©vkì”ö¢ÿß𾘧¼µSbhgV:µßòËó4Ýï±ø~ì÷}}¬?ímÇJ{ý<Ý N¤¯ägª—ðÆvr?£¥Ãêi;?8¯rݽ•Ëÿ»OídÄ;´C:Þy¨'#~9Ïãø`¢£¼O'¾ãN–¯[¾Ûòá\AZ§œX^Ò¿¦Ön´ú!¡q)ùñ 퇅÷Ô“~ƒ¦û¥ócý~j‡_ZÇNëÛ÷C}Jø"^·{žáüîدý¼¯éNx#= -åýe‰îHßßFþ°~ciß6¼Rþt»ÒJôjúîë#½­ÖòêùÿêØ>Ùk¹¿ûî¿ÅýB9–ž®ÖL×åÓyHãGòýÒ~.Ògãi˺W:OIç ÿØ.Y»;½ŸÔî§A¼›ê·ë9ÒëÚÿþ¶Kóq_?ÒEpSù–oõQòïõòáýÜÊáÿ9þÖ¯°pK½ñËó´hÇËýò¤¿×díµ³ù NJ^«_5ßJþzÊåz/Ò5]'ùOõ(¿œÎù7¤)ÑøÆúC¿)áµûžmÒ~Vù‚Opj=ãgéªí¬ÔCÓ4Õk½ñ~ ÌÇúnÇe¥cËOt•þâkôX9òòýêX}vËâ'º«ÿ¶ö÷UÁ{ký­ý§…ÎOζÚÕXNq‚6®D|!í§-§út.GËôŸ-}oë‹ø¾Î£\Ooxïëc}¢oÍßøiù>Odžú$µ·ü¬Û—ð[c£ç¾¾ÁMônðÁ~'8¸^î3!_Ïp~ÁÆqMG;¾íþI©RšÒoíUÂcë·z=Á'¸Qþî«Â£õÉÚßá÷p O[¯µ+äo·rôÔ“~|«›½‘ýjå„èHÉâÓíÉÎX½.õÛ“_ž{Þò[|r¼¦vUË»Ýg†~§yÚêýŒHjWžs$½ö?5ÎÖŽMõÐô=ÒëÖXù¾U/¦ñYÿ²Äi>lÂõ}©‡‘Oì:Æ?ÁCþ§ÿ$Éó—kjùîy¿/ÇŽçt}?Õcô?ÇR¿D>°ß«I=ßê¯ß³ýlé¡ú©žÎ—óEt¼e—ˆÞ5éq9¼ÿåtþ#]‡ãmÏw¡ü ã [ýC:<ÇûrÜ8>IOÐSêwÒ§+}k²ûm¼¨Mµ x=죷z4Á§z”ãú”¸Ÿ¤ç›ä;øa[ýRÿÇöIËÿ»jýñò=m»­~ŸÛŸ2.QÛ›²ßؾœß©½Lô´íŽ…ê/~K'Ñ÷”·ë²ÃþOÇÃâ£ö”Z{O{Ž6¬Ë6ú^ZïNý ?¾÷-Qÿ•ñ¯-ÿÏ÷g§v"½§4ÕÛ.óð˜ü É¿cy³óWîOž¾k½UúÅøÆQZýÛÖ³~iJíx¦vß}ýØŽî ¸ÏûK~‡n/õfÂûäK>£Ô®Û´>!{Öm¶}¯÷§})'O»toñ}­U†SÚ9²ãv\§rKéµùnÏ$½”îa¿¯ÏùÒέôP"9±õä'øÖÎMã -k>½[;ˆë)w”ߎg‚§åºŒ—D|„—üáþÑ©å«] ×7­}IôµøÖòT?â_í²ì×6¯ò\óq¿’| ÿÏH©çöû€ˆç%½hñ>ïpÎé(×{Vñ–~Á[©µ/oË»ÞÏšú+¸'øi/ùc­oõ‚æS)g'Ñ›ÚÕzÀÎçÐDøÃ8Ñx¥$ø[=ë_•|¶õCîg·ëkµž·þ†µ©Ÿ­ú}z.`÷֧spÎ/ÕÞ_²ç-_G<å}ï¤?¬ü¤¤ù”ä1ÌÕ«V?N×ʼno°/Ûñµ<¥¯øIÝ?k÷ìxƒLíÖV¿=ó–Ú¥ÔÊ µkåÉÒõ}4n¥<¬íJ5ÿ¤u@¸÷Õ§ï†-½S¾¬õ±”¯Tžê·ëƒ ~«÷Úõ‹äCJµ>—þDjOp[9Jzô)‡8hô/Öõçð˜§úkú®ñØ8æpdú?¤Dï ­‡ó‘æñëüˆŒ;'½yºžÞè9—y#:ˆ¾Ø^®S-]HÄÉ(µög{Ò¹ú6.RÚ‡6Mý‚CzÓŸú!XOÆo¶üÃÿSŠô—ëüVÞëý¯2>ºÁiåÊê™!}˜oõêŸòûú¹¼\w?õ¦û/ÒŽ´þÚSk×[>+í<—ßM$zR»Zo´üy_?—“ü¼´ß¤ë½/Ùérü-¶ër²ƒZ—ô¥¥WÓ5ÕGÄÏÃ8 éiK_¬7܇°û#í|¥vD?%½Ÿ v,ÂòKjOù[½¡_ô¶ý%øÑù‹ð¬å[}X·iùøC¢ãɧñHð¤µp§üC)λ¥·=‡5\ïNã<.ðÙ†?ÍKêÿÔßê•i¼4Õ·|HðÒ{J­¾içõÔ¡¾yÊ!Njé;µ_ åOÇë·ûá$ÿ_å÷õ9ä^Ó•êËû±þKó¶•[ÿÊêC)Ç”Þò³j~.ýŠØþ—éßê•qm7e¼’âPkýŽ$×­ÔþW«×òš¯ÒúR®¬¾oí ÒÎkµö¢Õ«Ô>Õrp_Ÿó­}ŸÚgê­KJ~NtQyçœÊ™åß—Ë[©µsÛ|Þ×ðZ:°ß/¯Kc~ú/¤” K¯¶‹%^›ÚuûZ>Ãa~²6>ŸèžkY“Õ;ºÞОÚTëÉCý¢ýèÿ˜¾Òï"¸©éêS½©}Šðä:Gû/S9—q[JÈ/÷¥è{[o­ôÕvŒü¼–?†ýiõ[ýlÏ‚|ŸÎëésMZ.¥‹í¬ý¥ó¢‡rÛòÓééXï$ü^˜_¿µ?ôS­nù_ÿ9€ï­Þ£v8Þ_íàÞ¾·í˜­‡reãb6?\—¯é¿Çõrp@þ#Ý·ƒOx¶z§z³µ/ržÖü­žüNĦS¿¢µ‹[~»þœžó.ýÂTNíj{Õâ“ñ Jc=(ím¤æÛ®—-¼r^Ûy¦r¿”Zû¢ßí¾Ýa»·Ÿ±?’RjíÄx¼K½léhõîÛpcùò¿«§|ÊÖ>œTÿ-¸„‡ô@k7P?¯~Õ õ‰¾5‘ŸðÔ+Ï;´‰öÃé\CËGm?Þ¶öê­ûÚ5ß÷•+\-·m|ø¥´?¨O‚>´õk¾¶|\ò?ÁÓx¦ëüV¿´?l“ý>K?Wúm¼ˆÎ•ü¾Á_è‰å­låcè·ØÔÎKl/ã müáÔ¾ÆñKçÐSü‡ækÕcò;›±¾]ñÉ8ØôIð4½C}à%ºÖ齯ïåå~b‚_Û—ÖΦ~´|ônl'ýÉS¾Ji:þ-¿Fü6>\Ú,ÆYS~­‡[?fz.ø·ø&¬ß-þ­ÞÛû§‡ÿõ‹pïësûáþžÝ×YáDú^²[Ÿí—üÁ·íOÍ—e\Çü¸5MõpÍÃ}öDoÊoí6Êo;ž‹_¹ò©Þg(íñÕVßÞØîŸÊs¼µ-÷×Ôê©Vþ ß“/ò8>í} g·úeœ*á#ºÒ;%ZÏ%zˆn §mgá=åa=™êÅöå|E; t$¼O>­¿%½Oý¡½mõå#=S»:ô?#<ÐSš®ûú/ùá‡ç1"¿·ÿGú#í>Y‹÷TO¶zj¬h^S\BÞ‡fñËÄí,?ëxdËŸò~’µÜ¦VïF80?k½¶_„/Ö{)ÞcéœÒ¯ù|ʧ”Ÿâhv_IÚw„Sú9 ΚŸÞ‘Òï­=î[·|eãÏ»ôï68oíÃK~Mx‰¾VT/µ#>Àvà_½O~)§µÝ†ýˆ´~Ýê}4}ßè#ÿÊŸ|êGé÷Ùz©ÝFßp_{ÊoHokåtk/å̾G<Ò ö®ï©?ƒù2þ”àµtÕô•|=ÆoõÂ}ýŒ'­Ÿàþš¨‡óžê¥v¤4Ü¡=‹ðå½öz^úE=C8Vc½¶>åž9=¯ë¥õ|’/ë7 å`*'tªÆkÿ·Hrx/øOõGkäy «‰Î”¦÷Ú':¬Jå?Ákÿ þÀýóÃDÇ[r°¦Óý]„?Õ§§)õƒÖ£÷õ¹ö{ oÑþ×Úßò{y‹Ç¦S¼±•_9ÿo¬Gþc‚Súñ‰.ÒO­½mê³RoLŸ‘.éÅþ€üníïëgz[:$¶©åòWZ»?¥s›Ÿûú¹žÕsÃõÈ©]àòÅÔ>ot¤ñ€óUDŸ®oí»´¯õ>{k—h}+ã² O›ëÞ+tx.wëçÐ?©ñëºîÔÎyAøpÎVã%z`¼Ê·ãÔ¾[>¥dÏ­mí‚\Ûv§vÚÂÅ|àG‚sJG*×q£VþVº–ûuÜZî÷UNõ %;ô>åãc}>õ#ÇñØ®Àÿ}Ω½{mÞÖûÕÚ}Íá¾/Õ;姭\êÅD_ÍŸíþ(ùcr½°á)éoßÇ5ô›è´ýóøõ±ÝaùšŸÞ)Ûùr=óöøLý)ü6?Ñ•ÞOñ¼õ_æ”ìølõ[>!=v_¥þHðtþêØóòòœÁŠÿ-y˜®cývÖëwÃóò8’žŒôÐ>ÆKq¬ þKzÔÂãKvjšÚq²ð¢>Þ³üÔûã·k|‡vz­—Ú¥ú¤çžúå÷—Ï;ÜW¡ûCþ#ë½Ðâ”êñ ñÅØ¿°ßCxŽv<[{"õl«õÿŠéOÉwoÙ©·ð?åÃuyë?­øNí™Mãq’óÿ¼Ûó)Óñ.ÇúÓ®ŸOíøé|®ú¯ÕKSº^Mïá¸â¾ã})¸H/³‘ûŸoÏK´{`#+í¾E)_ Î4i~²ö¤\ŸF8%¾ žŒS~‚këQ}[žê·ú¶ê ï×iéÙà¶û 0­l÷áÛüV¾k;Pê ‡©Ò[üÛ½Eg¢—RO‚ƒ~á¡Ü´ýÑýÞ?¯í“”öîï^üÖ¯hé™ú§vhË·çÛøÉW™ÆÉòKƬ^á$ø¾VïÀ¸OõI{?M¢kÚ/›,~ ÏîH~8¥sƒ[î£D8_ïåÿJR~kç¶òÃs3Ö¯±|méx›î§Ý}}§[ÊáTN·üðÿ;«o7ºìýeÃy¡öµæ?ãp_ßÞ-Þç½ë Ͻ¼¥ßmªõè4îWž¿Òãx^‰ú1¶ß‡÷PDºÈÞ”ç¿Æzö·ùŸølú½Å[û¥=iÇ‹ÒTÙzS~¦þ¤ÿ[x±Þ¡Ý'¸S=YÇYÛó÷÷õ#¼çÉ/Ï™Eºä>}ýU©ï-ªÛK½–Úa½vþl¿éüTê_kw“Ÿ*÷ƒ"ýtÞ§”Óˆ'µ·÷z/çŠj:­½%¿Y~Žðà<ÌÖ^ÆpþK½Žû–IKyÚDozOõßÆkë}Ý»Bú ¶·r:”skÿRjõÆV~_ëk9´q‡ò;Ömž6íú\_òÿ†OÞûÑÎùc6éùî+ѻַC½oñÇ'œ“<õËZ¾¯ÛK¿œòëþÁ9 7~§l÷ß@Ûñ_Û!œd_‡üÏUoIȦöÿ š_K¹Üèâ›ÊëVnåõ¾~./ÏÒµÂ{ÞK{”販­}iïZzR¹}§zv^žüÃ8aJS½·ÑQžçˆò°Þkû†kÒzÃÚÙßVž¦qYªÿ”¯ãþ÷©Ç+ícãÇò(ovÜ6ør]ð½[;Ëï%?Oõ|›oíU‚7åûiýÔnË—ë±ß:‡–Ñ—à?ùå:'ñß /Ñ÷䃿¿ÁŽg²›Ôžò5Þöœ‹¬Jg‚_ëÇÀÿØÞ¤÷ÖÚ3«žúò»ÍXßú ¤ÏÊyItµqñ Îаü`߉ž×øº”C¢7âžJzõo“')ŸÜ‡²å§ãŠrGð^Ò¿Óñ™Æ!ÜÖë)Yßê­)ÿP½5êOÔðÿÆ )Åö÷õ™ÎC½›ð[:·üûú×3­ÚóQøݧ‡¡°x·÷·ÎEÀ¹¸DÁÃvÃóU”6x÷õ¶£÷áþŽSy.'ÂOíK¿…èZÛmô ÏMíU­×äyø’õc¬=mç¯æ9OÓò„wÍGú¦zgˆ/Áò­G~F¤ÿ¾~./Çè;µ·k²ô<å‡r;•§VÞ¸_û÷õ­]KW„Oqß6®8&<±\žOy‹¯°ß‹~ŠíËý€©ká´ú^χ}Þ×øVø”Pžåy­|¨ÏèH¤›üzç­ÿg]úÝVZ?åpȯ6Ÿ’Æ óCãðZz´¯ãüÿ¥Ú§„rVÒ…ñóûêè ßÔó!ã[»û_øõw¨$‡çR»-ºO¨w§ï‰Ž'ß®+Ãzd|oEZç¬ãUîclxãõ±ß¥?Ñâ[ó·z÷õ“ÔêÉ)üç}¸ÏÙâCþkõÍw7‹OR½v[ø§ð¦íQ¯Áw½±èy¤khß\*ßøJžÇ^ó-Ÿ&z´_ Ïåmíî '¥Zÿþÿ¶í]S=w±tÙzÓû?Oåé-8-måe<¿ÕûÓùNÉÚó¤O" í¨Ä“Ògÿ[ß®oõM ŸøqËOþ}»^+õuªé ÿŒôH¹iïw!:SB=3=çÿG¿bx~ÁúÖ^Õú#ñÝKûOþ!XùLð ÁÁq><ç@ø‘®¯çúø¡}tY9)¿Koå"Á‹ïö?R®ê'Ù½r½½ÂIùô{l'ù\ÛOДâø ¿ónõÁç0yê‡Ø~¦Dóë å6â“ñÌD¦+õCúi_é7¤÷DWäïrËòÑõ¼·ñA —è²ú´¥#•“ßlãG‰Nä÷ÿ§Ç©üïâ7Ø“ˆß® ¥ÝMïTïm?m*ï­ÝÑö Ü_ÔzøMÓUÚ«©}lékñÑyŒo7níÙ¡]>…×ÂIõ·övßøðÿ -Ÿé}õáÿÝ"ÞC?g³k‡ç/^Ç•ÿA²ø[=Ü꧄¯– :·bùQþtÃs_៞™ÚÙÍž…ÿÒÙóôþ[ò÷ÔoíØaÿá¾IŒk¶þ¬ÜŸÔ|çãRz{~m½S=Só±Ï ï£xð¤8ÚŠ_žnÓÛó1OOëS=;_ ?å?å/ŸÏ¢sV­~Lù­½Oø§òDxq¼dZ>ßÊe|2å×r ãÛ6i?¡ÔïS¸V/Öß9$»ÖîGNëÙýø—ä0ÕKq¶è—Òy©RŸ´þw”y¾®Ýw­ýÐ?V?%xï“Ÿæë¾¾ã'þýªÿ%or«žÇR®žwÚÏ x˜<ÐÚ‘çý¾¾ã‘z~êÏ<åeÜ:Ámù°m·•×]Z¿÷Ë6:KýOí¦|1–©ÐŽZ8í9´a<&¥i<–òÛñAxÓýÍÃø°­‡üZžKœòmË­ý%|×y„KwÍÏjçk*ÏkŠtß×÷zò\Ñ7öWKþ@:†úó­yÐüz_ßéšž·ø'Ñý–½]õÕKéuúH~ÿóŸªýÛúé®÷´)×Q‘®R/ÔúÎîÏ—öœRKO­‡J?Ùòâ¥v°>Léô; ˆ÷pß÷TGz¿ú{_#<Óõf›´þ®çm½®–ÿWª¼·ã—í= Ðïˆwªç×}fÒOäï–víÉ¿¯ñ´öŸ«?qx¯ÚTž^“›CûAú3áYÓTnR:õ‹ˆÇvå%?„Ú·p,¼­þpßoŠÿÎ[y~ƒðžÚ}’-÷¡^‡|)õˆMÖ^·t·ã‹|Îs}T¿µ[]¥þnåKóa«OOõų‚å¢õ†þÅSìÊ ÷yÞKèÜòíwb‡ßÛи¶ü<ñS~Òê1Û¾½%•S\µ¦¯l÷v|:îcÝ’~^ÍÇ/­ª·á;”¯×ìD8gŸàµvkßÆë¥ûV‰î鸧t¬¿ä>ð[ôZúc=ˆkœâOð,Oœù¯7‡˜âiùÚ&¤KîŸRý©¾ÕíÞ²'¥uû—ø írG°ãNûç¼RŸi»$ÿõäß—‚¿ÂÙà–vÓÊÑõ¼K?$¥S½eñÄöe/á=]Goõïë{»òœùÏûé¾oyOd¢w¥ÏÎûÔ~×øäø'úR¹}_é°óÕÒ·éË—ÎåLù#á%øç-ºþaœ~¥KŸ£ ó+Cb-·íˆÏžüߺ'_úöüÃô\_«×ž|¹ßýÔ_î#·øÿ¦v6a¿Ë{Jkøá¼]¬(S³M‰Þ² S3ÕŸ¦~ëaþÐß8í7Â_ù ¾@=Þ7¼íx[½wºN“úsÃÿU~_¾µ£2ù¼[üíxž/mí3¥ÖßnSô;ì¹²¡\·þÚóžã@ÿëÿø¿ÿýò\pW´~ùe›³ç—¬Þ(ý¶ÔŸˆ7ÑqhWtÿîëG<”Oô>õÀOŒñ2šïRŸê/+‡­ýŒíí:¤ä_ÔÏÖ¯'~¦ñ±çr¬Ü,|Ýúõ<¥{ðý Äßž3÷‡ýi¯Qo“þþ"Õ#üZ¾¥ÜžÎ7_Ä/ý ì¿o”|oáµx§ó=Å÷Ô#{}_Gxôº¬÷©œËñ$=ñö| Ltß×ç|ðïÛø—æÓUÿ^µÿahõæŠ/%gX/!´N)é%|±ÞáþŸö èü&ø)ßÚ ²Cš.Û_âg’Š›Ð½ìÖ—úï#xíÿåKû¦í û}ýÿ5ú-=í¼‚ž©íÐP?lõí½Â Ÿ„ßÊãZŸè~Þá¿Ek;K÷ÖÞÚ»Ã8Ñ…rNzÂúAä¿¿ü½)%;^6ßòÃÚ_Ò+^ÒCë9ßp?ÓJWz_óq¦\Lõ½Õ»Ú!{-ãHé}MZþÛþ‚^‹õþù«‚?ž_z&>ƒy~ò§vÊòù$d$?jzhœI¿§ür¿v¥_û…åÿ ¬}Üè)õÉ8n0ôï­"}µ¶ÛàÝ°tÉ8käGkOÀŽ%ø)á¼|ù‘tïª/ù_´Ø^òŸµ'[}Ðc1¿ü~nÍOõS{û¿³qWxrþkûMü~bë'$øk» ­ó–s|hßK˜îÛZë¡ý‡ÿ¥×qûú¯œ—X󸵳ûÓ‡÷­Øçš´^‘ö¬ö»Öú÷õ=ßÚ—v­Ÿn×12Þr¬ÿåº1•œVÿop“=mý•2~õ ù3Ë~DÂÓêí ñ1Ì#%ŒH;†zªõ-?®‡ì|œ®WÉ? ñHøýÇèÉùÇwû}ñ!ùR/§ü)ß®õ6ø­Fúø©ngýÒv=*íUJíw§þÙ…ˆ·•7o²þAiÿˆþŽ–kÒÿR§ër)¾!ŸZ¿$¶'y>&º¦x×zHÜOí4èM­ ¦ëÐC¾™ö íì}}nŸä¬ÜÙòñYˆì(écyßÂÓΞ[µç;ìxØýQŠÇH»õú<Èõá>Þ}‡kÏŸI9²ú–ø"ÖŸÚµrÜŸö+Úï­)ŸÖÿÀÿžõC¬¿3äçÏp~×ö©žŸžáúDÇ=d¼¤Ö{-ßûDüª×‘Ô¯€÷5»ú ÖkõG+ò?.¯=¥_j僃má¦~¥ÿ–ëªçÝÆçg¥ŸèÜð&=MO²é<ŸÔÛ‰Þ-ßÎOלê¥0WH~’ÕWå¹¼XÏÆÁ¯Ûà“Ÿý¢ñ[ántYý zb×äŽìëÐïÙð€\ ?Qæ¯åÖÿHpINj¿FÎ+•á´ëæv}!ýéÉ—íoØ÷Úê·÷|§ù—ú8¥Èäç–önÃ'ó*oãÓ¸bª¿w#¼ÃøDjÿäÚ‡5¿Ö×¥ÞˆtÙûDỈãuv{zû\û vrÅKï)ŽiùÊÊM»\}—ˆô¥õÊ[v®½ß6ùý ·^°o)Q¶ú%ü„ÇâKx\Ä›þ‡ ùÏÒûÔ³øèûKXÿLå4Õßð€ÞÔô´ó$×ã8\’O«Oäú­å¯ï 7¾=üûúÜ^ê¯ ñëP¾NéÀ~Á½2¯Å5ÀÞÆ~´ýoý0_ÒpÊó íºtk—ô+ÄÏ´}/Ç3Á_ÓVÿ¾~¬×î;EûÒòï×>¥KÀs£ÛÊM¢_ÚÇ'¿´Çk½ŸÊSB=fõÍ«ô3l¼õÝ“B|a¿khç%åÏÝÿ¢õ°ôž>°ÃØÒ¿Oø[{^ÇGJ?i£óPŸÛy³øÒýš-¿¬ åUÆï>ôÿ©_Úåµ|«ú/ÖoítÐ7ë{ü>ª´¿‰­Ç[½S®[¨|«¿ŽÏpnƒGú‚ôø'[}‰¯å¯HŸäÛ¨ïëG¼–ŽžRÿµpˆ¾¶ýé|mõÃznóîëçúéýPž#ýí¾.íÏ&¿GâÙèkã0C>Xóã{šŸÖ^Éû?½q¼å:kƒ?•Ûûúˆg«gõ–i×?Ô[ÆsW9';k帴»­^·p¶v2Îgõù#O¤—ôùÛÓ{,Jÿ:Ñ·åÓ¾cП >â³üLv‹öÓú‡ôÜW}Šû•ñ²'k» ÝÏöñžÎo‡5Y¾Lt®õµ^”ç´[û›Þ7úŸ[8ã8Ò[vvê§ïYÊv¤×S¯çHÎÚï¾Kû¢ù0oD}@ò!ãp_¤ã­û¨Ò_±ôÇw{^$Íï!šnú~FŽ[«w7|÷õ™ißµœ’¶ë@ò÷¤ƒvÑÆ¿äúíæ¡}Úð‚Mõ×4ý?¥OÚ7½Ž±úà¾>çK»¢åÀΣôÖt̯©|í×4.Õú-C9]ë¥dùh«_Îk»>}ÞÿœÐõKLû¥‰_Vúäx§üVnph|¬¡ñ“çK[¹ä+Û~£wí·”’[Ò‹‰Î Î})¼k9åG>‚x#ÒKzé‘ëÏó¯ïåä—´ó/åWÛgÒ÷VÿÞ×Çr”¿ò^5«qþ@?¦„tÞWÕ~óÏ—y 8Ï»Õ ­‰vëú¹~ù=%}ÞSú!ȯÖ˜Æy¤¾Õô&V~ÿ>õq=ú åÛ•Þ”ˆã<—ófñmð$¾^„ýA;Gã/㵧ëá®^Ç¿€Ò©Ý9Õ¿Óy±ã‹ô—zfƒGzÕÆKä¸nøÇk…·ÁoÛ>´ðÇëÍv\­þ)í“Ÿ žÕ$¤÷Ús"öüò)ß’ÿ?\wàÓ® ¾×Úù§=ù›ÒÞÇõÛ¡¾Xñlø×ñ°÷7LõÀ©ÿCñ¹?¿â›Ú„Wú Þ–_Ú'¿ý> ôËÖÞÚi/,­rL õá'ykùæ¿õ“V:ZEÛ½©ÞYïË$ør}cçè#<[ùôþ±Ð~Ã=zœÈ¯k×kvþÖ8$Ámã* ž÷ûúïÏ»îO©'(éñ%?¯äwô—¤~°t<õ亂è'¼–}z=Ø®_AÎ6zR{ûýgÊ¿¯û±ÑA~u©'õº€è’z?¶#¹›žó ã áLýçÃï [;ý÷ü¬íâ{Z—ý¡wGºή?^öÏ´Ý€{Ã^Ówv}NzÅÎ{«/¿`*±ÜŽ¯‡§ýKû$Ç[ýà§&¸ ÎÚ^ïsµñ6îí×~¼•OõÖdåÒñzæ§ôkW~XéÔþíWS|ƒâÖß–~^¤³ôK¶q¢ø$ci‡Ü-¾ ˆòHpÃz¯ÕókŠð[û°úß²}mï‡z 竤ãcõ‚õ3H~K=«ý¬€o¥+å'=÷š¿WÒ¯ùõ°Þ©¾¤õP\×þyßà%úÒzEžÛ‹t“Ÿ!Ç•ð¬íÍ÷+ŸZ=™àKùßàÂømø§|^ú;ky¢cÅ“Úmxå8ázJÚ¿SýüösMV¿Ôú¿…×ößÊÒsI/Ý×g8¥¾HÉʵpa^¨æÓûúœoåf8ß‘n©Ÿöå~H*·í¶zÓ¸JŠ_”úÖ–ÓøopìüŸ'<ØX¯¬õb{èG‚ƒúÍ~§ûUŸî·,ùµ>òý´ƒõÃiÒr.û磽_ÐŽßKv:åŸÊ]ŒI»¿ÑCó°òõò¾Ñz°¶4+H|ÅîëÇú­¿³åÓ¸ûXëI;O–o¤¢q¶x¶þ¥ñ)ב$7DßS.¿Ë«×E­Þ<ñ™ä<èßw˧ùç|-Ü)môÿRží=Ý»HúÇÚ/[_®ß·óMC{¼Á¥g¹gÇ…ÚoåòÞË­Ýp¼¬þŽø,”ó§í§Õã0îé}M-¾Ø>Ìo£íûoñC‰Mh?¤]|5å“4^å=DµhÇÛÚå¶üíy-õ ÎËt\(^RòÉVOÚëçýÿ³Á³~é˯©_4.ä7Áý‚+žÿ¾~¤Ç!Á‡ýÁŸðŒí ÕχzÎòs‚óäí8á±tX=CýxÊËõ;ѵÁ>I©Ö‹åýˆ[ù¢—’¼lå ßÖ¾LŸ[?¬}³òCz¢ÝǶߛ®7ø ­·i½ú¹&Ô'‰ÿHK¹ÛðÑyX9Î[¹•[ù}ÊÍô{d’çÓxÄ©^Oý±û!v]ÕÞÿîqkítJ­ÿ¼Ò‘èÚðÈñ~êÛóã0´®ž“#?¡¥;ŽÓ})|ÚnÙ{Sí¥Õ}0O+œ î¿ÿó#ü5Ùù º#<W@ú¤_§ùÐÒOóJõ‚ÝOpÖvÝRk:Ëv¶ýìWiåãÉî¿’}!þnÇIëß¡>šê·ñÓò©Ý·!ÿþ¾>çO휌»X<[=ð›Ñ^¾Ì7§zñÉø䃇ƥÔ'õ8–~º]/¢?e׳ÔÙ¯5ÕýÚÿv\ŸòÒ$>Nx·úÒNÔü ýIí[ºæ¯)é;œ¯ö+ÚNËñ³íRš®ï68Ä7ÃõZä‡RïQ»Ub?^ÖÓšîõÉ­ÿ.ÇyMºß븵÷_H?9¥­ß÷õ3žÖŽ®ú`mz¿¶µ+ö»@’‹ûú^ô%ÉÅï©W®×k{WÚ/›Ÿè·þðšHÎRý­½=¯Sö{+¿¯õÉŸÞàµvQê‰^²’¾H÷Kß-ltµçªßÂ+ýß±}±zmê ó7ü ß}õëÿEG¸WTó=}ÿDóö=¶Âpþœ»yêÙù_â¢H?ùY­?Bß!ü5£7Ì7Ö[í÷Tßœ%Nµ&«¯Ÿú ¯Sý _»”þŸ¥w«·ÎwâÛÒOÂòV–úqÃÓÆ5lâÇðËþ´ãþäOý‚â"‘®5~±Âÿ¥ï17:¬±úÑ>í÷ʇÏÞÛþè‰Zø¿ÎÍÞ×GøO½$/å÷ASý´âCºˆÿìz[êUÄÛÚ‡ûúþó.ýŠ og“ñ)MÇ[úAÆ™j9=¸Õ;”ƒÙ=Г‘.Šû­ô®ßWµöÙ~Oöœ¾C+ã«š¿@ÇSŸüµáú–Ê[ýöÀY¿‡J÷™…øÑGÚ«­¾m÷†ö”Ú¯ ñ¤ïƾÊïë{=K/õW®·ð;¸Ò_‰ô”õ×|›"ßJ9ÜàÐú³”ë'ÿ¾¼”´^iã$44n’?cÈ~и´ãWòùÚÞ¦ZÐ~””ÿ6.ÑòqŸR¼·„Î5Ûxš\/PšÎ7ùs O;ï1îBvì‚Ö_IoµßõÚ™®){.òS{¤³Ô—O=ZwÊù­óå½Tž’žÏŽGJ=:¶k"½}zÿÐ:¥¾ßà¼4?-ü­žõwº-Ñeýp¢›Ê§÷S¢üÊõÅJ½ëõ×J_ðÓ¾ˆ—äõ¾ºúö{Å2nSómøŽ¤wÅz´¾'>[ÇWêË5Åyùw£ßÆ–öÎÔ®ÉõO”?Òï+]t¯9é¡’oÆv(ñ“<'“’Õ³kþV/ù§÷õ3'á]ñlp¤ÿ0Í×ö¤ôžrð?m²~Žé'ÛïÒߧ„ñ$²Û¤OÊçCÈuªGv}ƒ'ý—”HþmŠãr_ßßÓøNï­ ˆü’·âx–ïÞ—ú÷à³ú»½_ÈúAd`= òù­‡úÕ®c­_Øê›H—åã ¯}O”âjÒŸ[éˆt•úǟΗ¶v£½·FƯ¬?˜éí¤qZ¿Ó¹#½龯é@ø!ŸÚmår}CvbÍ·ïkšú-§pIŸëõñ}Ut¥zÖÎ?õ¥¼¶óNô¦ó VпxËŸ ¾$9Oô”÷‡Lí¶/ÇËÆ·tÜlèè'Å! ?O½¤Çì¼X;/Ç%â#—üwZ¿Ñ9‰õ\È}ýØ.öäy£;Íïþv¾¬cõïô;ž6Î@õh伬Iëð¼R­·­’>¶þ«-—õ¶|Y-ßê—ßÁ'|íü¾ˆ‡Æ øg«gçaj­ž»¯Ïxa¹Éœyà¾-¿ÔGvýl÷WÛqMôÇ~”þw;^«ïïë#\Íÿò{þ¾ð=ò1Èq¢ÓÖ·³z¦¥ÏYSkwOõjJ1®5ô7ìýd­žµíßF×p\­løÀ¿%ùÝòO¿?l׶GxÉn€ýÖ~À:nÁ>i½gõSâ/ëO‘ŸüR\DÛO ï¾>——vµ¥ÓÂIõž|²»Ò‰ô¬|'ãbk~z_“C&»èA¼4O¥Apã¸ß×gø_ù/í?<ù¥¾Âsf+ýÓsÕC¹šêÓqŒø“>ù©åæp¼â|Âw`–ž„o…—Êü-¿]?×K‰«wb»5~™æä6â)õ33µC¾žÆ9V}”Î&þMðhcÏ[LíyÊo÷ɤ]"¼n)ÿõ“æËŽ‡ýÎ9ÉWÉ)í«ô/ÆzøåøƒÅOðt?AŽ#¹îÚÚÃ8G>ÆIPî‡~l\7¶ëxË´Göä`£Ë®‹ËõÊó¼¯4 ¿¥þ–ëøWêÅØ.Ù¹Rž¶öv<Â<œò)éÝûëT+×Q/À9lÂK|”æ}ƒKvØÆ5¥Ÿªù‹ìï}}/íõV¯\¿Ÿ¥DôG=[Æ…N×s±]:—˜žöÜné§Åzi܆ëGÄ7|Fü­|åtêgµýÛàׇÀ¡|ŸRÒ—TíÆúvOÂqý¿Ò‘àDøRLínË—–Ž×ìP+×Ãx`‹7Ö_øŒà·tD»Hü\ŽËÔþ$ü6‘½E9/ãÄk½šÎDÇŠW®sZþˆïÁNø~°ƒZ^íyÌòûÂ8ÞS?b¥ëËïi¿šÚùÄÿ‡qMÒ ÖþQÒzƒôÿPn±Ÿv`]bã)Ẕææ/Ö›òMâû6Ûòå°ÞšlÿÖúÏ{ˆ³";þ2¾BòÓÒ‘êoù­_)å·-KÎì|¤÷GêÕ)?×ûtS~¿/U¿åsìÇT_§q;´ö'¥vÝx*g~9þDolßêm)k9ÁÙÚŽëVNãt_?Ó³~ù§¾ö»K¿p¥ÓêD7Úñ¡ß¿–oõÉX>(ù:Òû`–|oã¯r<[ú¶òD·¼†Þkÿøã©Gçä‚]©é+ïUÚàÛûeh<ãÅ–î_úšÕ3VYxvGóx¿°í,ßÇõ=ñMéolt‡û™Sj繶s²_^ÒkÖOƒõœÕ›T¾Î¾ÓtÅv«Ÿ#å$껾/ÇcÃ/Ï]§õ4ÙƒUŽÉ®Ûõ8ù+VþËõËSox_æ8.0´3k~ªWësëÚu©Ÿ$§àßltYz¾ž_ÿK|_ú±Zäú~ÌÿÖ.Y9¿¯ÏýIù4^e¼)¾[½BúZÊ•Ææ7Òeý˧ ï0ÞòäÛsî$×r¾ÚühG^º_ôÁ[ú/©Ýt=Üê‡ãg©ß½[9ø‰Ï;üçQÛ[’ëçç/ÖKøW9Zí•»LýZ'´|'éÜèKç£Z=›Æ×Þ"ç=â_ûç¾68²Ÿ?ÍW»Žù‰ý±÷\J}£åÀÆÉ`]—òk——ú´M–¯l»S¾$ùJt Þ´|¹>¿þ_Dë]i'kþhíCë¬õí÷^!ÛÙõYâŸS¿‡ôÁô{bko§ë¥ÕžZûZêË5ÙqŒí¤¼à¼·q4kWí>XÉ×4>ü)?¥q-ù×Ò³Ñò_ÛûVÎJÿ~¥“ÆïÔß TÛ!;ne|ljï·~”z-â/×éš_Iüò:.ÑQóí'ÜïðÔ/×ÿ[=:oGãÔú» ¿)íà:>DxS~Ƶ,=]å½ëµ^•|QË¡´ƒ‰îäWþÚo~·öçÊsRc»Fóø`«'÷[¼§þV¬w8®¼àwj>£u¤Œ¯iÿŒìW›ŸúìÔ¯Œò/«_‡ëù¿ ní§~ ÿ0éúY­\œ¶{ÊËxúÓNÚ¯DÕOå4î-þ©¿LtÚ|ªGöÈêo„Gþ˜½üÙÖ.nðÉÿHxÖüçîy´ç^a~üTÿXïØuÁ×þIý}ú!ïíGy(åõž‡å^X‹g¥ôjJØŸÁú°.«×$ëy–¯vpÏ×'ÀKõÖüçý¥õ4éÑçý¾~†ƒòù×G<üV/Û8—¥¯ôgÝv~#½íw+vJ¿Dëe‚3\o=Ïûú‘î5iû=ä‡Do¢cÃkåÒž»(çq«r’è·ø’^ÎðãSï¾~¬Ÿð¦÷­~{Ÿ}ßšÆ èNô¢Ü®ôÜ×ÏðC»Xïp¼§ñ:⋶]­7¬ž“þ×V¿´T®û{ú¥¥_ž~[_Ûù‹t‡þ݀ʟ Omþ¾žGù}VÂñÛ¸á}}«j÷Ô_l—úE÷•úÿØ®·é}€iüZü/Ç'R¢uåJµ‹óþDij¹¯ÏpJ}PŸ›·ý»ùÀ³÷â|Ñy_ÿJÇ×wJk»/x4>_õJz·|ÐÇOý´…8Xª‡÷>–ñ…'ßÖ{k½Î¦ÔêAJ­?ð”Oã]$o$/dG¥½jùâ)_ë/xê/険žµ3èèlý¶ò>œOúkýaZ í]‚GýXËé婼ÿ&·ò ö”Rë=íìyR¿%8–Þÿu¿¦Ãµ|Nz†ðNçµ´[qÿâ¾:¼ ¿6üÓøÎt^¤~#:¨^loý%Ð[û¯zé~(«¯“¼ ãÕk9ÒÕêÏVîîCÅgZ;—ô ´‹ÛÓú·¥~¨ÇÙÞCUŽK¢ëy'~Ú“?ô/µßðå€èIø"žÒŽX~Lø¶rZ.ûÏV~VüDñõSï¾~†“ôÝ2ÔkœVn¥=Gø­}´ëÝò^¤•~Ò£ú~Ÿr]rjÇ8÷õcýnòÛ­ÿ qÚ§~øõôIkwÉ®&¾'{âHõ|Ò½—ÃsC[ý´®)×YV¿½§I볯gúºÔŸ„—èœî¯jþ óšê?ù ¯ˆ¾­¼Õc‰Û_©'­]KögMd·z6Î#ý^œ/ëŸXº—ûÚ=­Ÿþz¾ôsc»a<%ÑGþÚZ?½×õîëû»µgÖ(ïí|žè²ë2«ŸÖ|[NzîÉ?ŒÓ®pÒ{¢7¶§õÌÇVƯäçZÿ—ôM×9[9ÌÚ’=YË·ú¤gly©:Jýµµ³~Å©|•òfå>%ä“ûªàë¸WЃO½6žØÊ­}&þ 눯´#DçÖ/ô½­#í:sø\ûá'xïÛàýa=ïÓxÍÔ?:œŸˆ¯½WÔÂ=ôî)Þ©~únÏÚu®´Ïš>ê”C¢£õc"þáý^i7¶üûúÞ~h´^ óAô¶ãƒí¤X¾ýƳ7:¤­å[ê7lßÒ'×éO{à›îÔŽû·°î#»ºÑSÚ¿'èÿ“žIxÇv­'Ë'v¾Ú§õ7‡þéÖ©_VÚÿèß~”R¤ü J8n0/HŸ_ËwÃxåû5a9ÙÁûú‘Ž„ïyOþy›Ÿü™r¦õ¸Ô¿ÇvöT[ûhí2ñ‘õ÷ÞÒÃÒ¿·óKr¹Â³Éâ!ºS9½ÛñMil‡v?áßò§ú»¤·y¿Ñx܇z-ÁÕxIÚ{ÂHOíâTïX¹”õR²ñˆ§¾ý¾Ö[»’þ§þ}}lO|á¶þq ïÉ'>]ûq_?×:7¼‰ÏìþÉ==¥=Û7—T¿ö7@¾m½:ÑƤ]ª×±ÄßàoXüQ^NýÉßô]mJ8>÷õ >ÒGt®åi¿¥]‡Ðü´~l‚GçìJ}ë%þ¶ô¶ë‹Ö*ý‘­½ôçÞo{Ú83ðǃ¯õŸaœRÚÚÝ×ô¯ø§zÛ&­Ï†|1µ{vÛùÒô Ç#Âú_ni¯bûÒn':Wz­~!ÿ„økÃ[Ê5ÉóJçó.¿WHí·vë÷ªä¯ íæó>ýŽh}¿¯ŸéHòô§ÎÏŸä0±|@pÛ{‡ëÆUïoå ¾äíJ}œÚµë „gƒ_ú u<$Ùe«ÏB=ÝïÒïkícÝÖÅkÒòdí}¢wø½í©_`çwŠ?ѳâ£z¯Õ÷¿ö[‚]mý¢ïVûó Om?e‡ðoô—~Mäkû](É¿—ë ¤ïTîZþ•tlíH/ß×Ïô„òÖØèzR"½±ÕûÏ~ÏOñór}Œxå÷ñÞ§S~+ãÚ‰~­ŸÉ;ÓöÇÖ‹ó™úë¥öžk²c©Þ“¿Æ‘×û¹­Ý”ö£ç ]ÿ…8׆oÈWz¼K?}MÈ—oÅål¿¡^¢ÛÊËSný•6ÞJq"ÉŸÓ8ÆëÛ«£+é‡U>’þ+é%?…øvZÏÊŽ¯Œï⺷ü.³µñ'>±ëú¡}^ÓXï'~&}TÞü"í{l'ç¹…GþÉÓ^ê ¢oê'ÔÏöž5ÂßÚöÞ ßÏJ7Á‹t_¶vÆi£ãϺ ÑÛÓzÜÞ¯v:Õßè€yÚà”q„¨WË8àÔ¢ú¨ÿå÷z‰Þè×”t?ïå´_ë²5mý‘÷`®ýØêÙyù_á>ï´þ¥u2ñUË×¥_AòÞŽ—õûÝ+]ižQ¾¾Êÿܹ¶Oø#?Óý·¤HÎ佫)YþÝÚYwè/%:ÛrôoÞ’éWÙ„~ðÏZÿy—ó¶Ñ#ïÁNx×üÖÞFxöÞr ¿¶ãC~×x¬^°þ/Øÿz½*ý!ÄC~€ŸÉu‚öˬž¿¯ïõ(>ô¸öë¤=íJ{Kùžvýthp~À¯<öŸ@>±¾äÿ‡à•ã³æ§å”ö•¡ß©?Þ²‹c{ÐÒYêÅ5iù/×c‰Ÿ#^«¯åºÝÚ5òb;š_©¶~@©Ý–îñLóá½'Úú1Ÿ±^!9kýJK_©¶v6n%ý‘6ÞñI=™Rënt¤qM~kò“†÷­Dz$?YFç[þX×1ô]–G´tIûù_ó-ÿg™àéuú!½O¹õƒ-?Ûõƒµ÷4Okût®£ŒoêÑoè`½ôÿv»ÿjý˜Ö>Áºp+¿¯oùkB;ÛÚeÐÏ»ìoªñ¶ö¸õýP-ÇD×t]´È3%;^Oyé_®íÆúÌÊ É%бÑÛŽO:Ï ãFð-Ÿmpʸ%»ŽÝÇå¯ëáx¤sî-<ŠH~ßà•z'Õ‹xH^ì÷]Ò®¶rñ‚<®pSÂuÐp|k}wºßÚÊÛÐNGxÃøçÚÞö£õ{¶v6Ž7´Ó­<§TËIy?š¶ÿTNëç! ½µöê¾~†×ŽݧìËZ¾µ“úoÃ#×í:+â!‹âyÀ¿‘>y. ñÀøGx©¿ô½¬…Ûú R^Z¼¾lŸRŠCÅú O¨Ý†·ô¯¦ãøø©WÞ{ðƒ¼èþLý¸g°zò<ëû}ý\.õ•æë7 ï—A¾£8+Ë&zÊõÁKí#ÜÓõÑО>õ†ûim(ö+Äík}VʹÅøÚ8Y²£2Ç_ú­­]ÞèêÅ ÉÝP_môÚù?äãXÏòƒ•_¹d¿WIå[~9^)MíôÚžàmx­ý¦{f¤ž×r\Ú;Þ§x"ê×׸Ý׿ž6Dþ=ð=Á%>Kp"°Ãí½ Qo”ýIt¶ëåVÑ>Z>+ýQ²KÔ*ûÖO‘ë{›Z»ºç})xVO>õÿÀE=Q®SôúnÕÛ_óFðÚ8Ïáúsƒw*_D|/ñ€=Kí#ÜÖ/•ÿ÷jéŠzÎÙõ¤ÆKür_Û!ÝÒ¾mtÈöc>,óW|~¢o¸eõ2Ú‰·¥ëµuµ£C¿<ö‹ü<˜ïìa‚×úE+\OÂù¡\o$<©þTîSjçÉêí–oÆúy(OT?Â!{øuDÞï³á)¿ÄñMøàÞ®øÿ$É÷èG’>“r4Õ QŽ$¿k~9äÏ:Î'ÇÛÉur=þÖo·züôÔîy·ß‘dý¤·.åx<îÀ÷k˧õ—l¼$‡‡”È©×4îöÙîË‘ßl÷G¬? íSjßæ[?¡õ#ÆÏ—îÍmÛk»Ÿæ«<Ÿ•à=ùÃuÒý²<­‰ôå[ý“ðÖ~P»>oõæ¡|¬©æë°ºÁýª_ßßËõäFgë7.toí€Öú-^ªáý㵽߈WÆa¢ z-%-7¥_ÔÂOõ#‰§nOý¿¯ÏíÒy…21Õ/Vï­õ©ýšHÎ#|)‘žö ð5Þðí­Ý½Ô³v¯”¿§Ýò}MÂ[Ç Èß?ô3ˆÞHùÁ´¹¯ø7x’¾¶žÕOÏ{)‡H—õK†ö~Z?Ñýä'ý’â_Ïûú×äWßFçÈŸMõÒZnë½UnãQkûm\K{…pïëçú§ç¹N×­ö~Ö¤wíz¦»~¤ù¹ìwj7õ^³SåþþF‡ý>sñ+Ûõ솟¾›•òœèŽõÀ~Ymê/X~Ë%ðíÔ®µv4•¾­é“V_@ÁÒ‘Ú·~ŽMt.'¾[¹x›É?Kp§û†C;”àÞ'ßÎ;­WZ¼RþµqGz†v Ÿvßã¾~&|íG{®œèš®ûÚví¸·ç­¾-×…u¼Pú?±ÒÞhû þÁSô^¢GË­´C:ßÚk€{Iø·q ÿ±Ú9ë7´þomÏÚ8Çž–?‰þX.å$Á=¥»MÇP®¬ÝyòÜ—Ãßú§k\Vú/­Þ~k^±T¿=Q®×Ôêññx’Þ–||úÜð‚}KÉÚˆo™ÏwëGE~M~í}ý j¿’]ÿ‹¬íñ¿ÔÓv^ÜT¿Å¿Á+é¥ÏëùàÉÛ°úTÂ[éŠtÒüY>µþêÐ/ˆðÂcÒ{Jvœk8–¿Z=Kz¯”KgÕ§m;«?å:-öÏîåÇÂÃüV?Ðø?µqg»~'8÷õ3ÒîL탞7«wõÊ«]¿ßOéÄyZ¾GNð¦t¬iŸAºÂ}_ñ¾ðÒÄ~ÚuŸ=O½ÎÃéyfi6|òž–h¿ä}sür½¨ëÉÿ®Ô~µ3`¿‰Nò"}-¿.ð×|ûþäK;÷Ô;ßò÷Ú>µKø­ž õyÊGz¬¿ÔÊ ø)±ý?‡ôk,=µ½/ý¨5mpl\£´‡IÞ"=rÜRûçý¾¾·_ûÙÞZÚ­Øžä¸gÒçRO<ïÓûäNí5õoHGÆ ñÈ8ÁÙÊïë#ËG[;˧É.—ñ¿ñótnéœÞoké~òJWzò‡q³ ÎPß[¿¾•7;î+¾­_¥_²ÕKøÒ=?íý VÛynõ¨Ô«q<“Ÿ´Æ7é|ñº>¿¯Ÿé›ž .û±ÕKq08gÿäßW_ÊÁYËS~Z'zR²t´ñ¬©_ñ”'?pj/îËÕ#zÈQ>¬Ë6ú–ïM6z¬¿MëÜv<‡Ïž¡>Œô­ôÛ{ñˆ>i×bîïtØãµ]¢áK}¶Á“ö-§ùŽí`]·µ+× TŽòs_ßÊã:~º>÷^a¼¯äí]Š¾4?+¾D—•Óõ}̧åýÅoÑ¥Û‡{y7xeœ²ý-–ƒ=Hõ#œ÷!¼OyioPŸÃ÷Z)QùV¿Œ3Z¾|òÓ=2þŸòí³]Ç&þ=iå/åëþZ¼´[®?¬ýíïë3C¿eƒv/Õ§8Q¬õ¶vI/J¿¦•WlGò1Œ§?ùm܈ƽäÏÔÞ~Ÿ=–šoÐ7§óNãÞöÏúÇ|9]Ç·zÝÊ­„»¦Ú.Y¸÷õO7+·m£µs¥Ü¤üZž¨½ôõü…zk²|ñ‘œØöC9Mù§ø[ý›à§~PÒvRŽ×F_i×ÖöñúIô´ã9•g¢WßoCüÕÞ7×Ú×uîë3S>/ÏóÔú¤Ôë OÒÃOùÐ_ÚÊï«¢—ü„­¾å‡r½ôäÃý™)¾‡pïëîâŒS?çyx>e¥c댗nð¨?«ýM릧WÂ#×mhGËø$Æ–}ã^Äc×ûS¿¿Õ­½;´Õ¿¯#¼Ñ}½Ãü=ð캆ô Äù6x¥½}ÊÓý“Óxõ›Î×йƒ—ý«×´ž“v­•';¤üÏæ?åÓï ®°Á—õ·öRNl»TnåÔÚµ8^©¾ä›•>ÊG}Rê‹×æœÖz࿯éš~Gõ’]øCÏó¾øW Â-íB«GQ®ÒzVÞ{•è®ëIþiýò¯¬=YóéôJ¬_î?®p©ßD'Λ´›±ça<ì´Ç4Ží¸¿…WÊc×úöÿ쫾¦ùnÿÖtj'#?ß×ÏíAomý }sxßÉV/øƒkš~ŸKõS{Ô—@wÔå÷‰ºüeÿ#åë¸ðî—´O}G—öÐŽ£•¯çÖ9r"½Vo–öqÃgõn‹ ÏηüN çáÐ.[½…vJÊÑ“ðÖÏvÜ$}ÔÏ)ýOËù"O~ÙïµÝ4Õ|øµ•ø?Äžò_ò»iõÔ“ü´Áû2Õ“OHôâ3Ä/xÖn”öî“î÷ú%S;òà§xÏ}UxW¸Ï{°+šŽÒYÓ©ÁõJ¹þŽtÂyÞƒÿŠø¡~ÄG|ëQK_Ä⼤¯’Ÿô=på¾ÕZŽõÊsbSû¡ï+&¹¶rCë«©_þ%‚»Õ—ã‘ôßf—h½s_ŸéùÓõA>Çëù ˆ®ˆGŽkª_Û‹UO”|VËcàw„¿ú¥¤cÍÞ‡|–ðÐsÅ;Õ£DOêGÊËß©_äöØ.¬xïëç~Øu‡Ä»µ“q1´ëIÿXÿ»=g ó·Õ—ú¦_Eºˆ¯­.íº®øׄðËuðÚN÷+ü×*ñq„zdk'ýl´“A~"÷Uåoô—ü°¶Óõåüµ©Õ¯µ~/Ïílã?´{ü²þó>õGVºïëgxÒ¿Üò%}‘N¢»çC»yìŸÂ9ã8ß°<â qµ .Ùë·ì¸ŒÅùNþ ÌcÂoù5Á±íÆúᯧçø#|ˆ·DºK½dÇ÷áJù¦rK·ÕWk>â} nzõ†÷çh|’¿¦ýÇv4Ÿ¥ŸõVBz’*ÇçkªÏåýa­_bãšÓý²”¯×Ç­?gýÉŸ‘þÖo°úÐÆ ‡ó€ï_óîë³ãÙê+¢¯…³Áµq”Cÿ³^'¾·JùS;LðêÿN–z6¶—ç"]C}²å§~ÉxàTž×¤é!yMöô¾*º7ú¬_g¿Ç[×ç–߆óéµvr'³q¸çâ[ût/õpµ–×vÏŽwëßÐ8¥8Ë©(ûÊׄòlÇGú D/Ò'¿Ó‰ãÆç¾>Ã-û»Í+#‘þ=×6®âü+œµ~,}ßòÅÔî$xkBúÈ´ëß–ß]Ãó9 O[¿çÒH©¶m¼OÆ0_ÊyêÇ[öŠäsƒK~oÉÇ[»v¼ìó-¸R_i¾ ½Büy_?ãkï%ºÊï”ìøÛ}Ó߆ÿœ'Hç†oèÿ<ïå¹±”ÆþØ{k§W:R}¢7ÒYÊåÖ^ú„÷ø\¾ô¯ÖöÏ»]?Y¹.Çýív5<’[è÷×ê:G}úýÅÇÓÞ”’½Ï/•ëu„äkj¯Ÿò|àƒOÞ_´Â_韎‹}®p6üRŽ"‰çyoãg%ŸO×Ï ªé°ëû„8ÃúNßm ߶|Ý®ÏK¾"»…pÃ=QÈÿ$÷õ3ýþé:!¥Ö/¡|­OJ=”ð¢Ÿ&ÏÙóÎo¯×bäú8å×óbûiý©õy_Ÿ &8´ÞIëÛ—Ö•§|aíPÚOIúéÔ—똟æ_âÛàË{,,Ýkªá•úz+—vr£§å¯òœüZ¾áô=õhŸp¹oikOýn㋉:Ÿkåä+ғƽ\oY?ÃÚAÍ7Éoþ_álíI$yjã’R_%z7ü Oy¦.~Mt×ã@vËêr~m|ËêymKúÚý‹8v¼Óº­õ7¬Oõîë3Üò¾`«_õê°\?ïëçrëç”z)ÒèÙê—rñÙyXåo¡sƒ¿~—"ù!%;[ýäÏ–ß oô”~q«ïž÷•Î?ÿ™Û[²Ã÷õ™.ëØ~9ÛÊ[d8µ>²ò,õI+oðï>ŠR2ùo Þ}ýÔ–ßÒ_¬íÁ—ûß)M¿ç¤ùHõÆþ¦ôÃ×ÔúÏ»\&:78i½q’£Kg”¿Öÿ®oiœ)‘¿ëµú‘ô¿×®ÏŸüUOýù„Þë¸ÜÐN­ðR»”Vý¿•Æ·b~ßH§…W~g»Ú9k¯ˆ>‚Û¥~Ø8g¢äíòpžðùRÜylÇZxá>û•Þø.ÇÃÒŸòk>•÷([|­½ëÛ’N‚kë¯øSþØ/?IÛ {¾cè'×zq(¿c;[ŽóV~_?ÓEòMþ­ÕS%?áx•r­áÙ{"a^ZzRy¤ø¦¦«´c¼a6Ò'û÷–\j¹˜®oí|&<÷u:D§ÏD¹¾ y q£ ôÂVßúCö{XïÕŸ–ý‹ôÐ:ÖúÓ¥õ)ž8õ?l<Éê?’ãÔôßbë¿´~ éŠÓ–~¼¥›æ5áC:Nã{ò|ÙX¿ש½§ñŽ4ÏRŸÅv¥]A¸v@êÙV_?íd¼ŠàؤõT©¯-}h§óy—Yé£ùÜðŸÚ…Vß·ñ´¡þÒðÊyÙÊÓü¯úî‘zàÞ×Gú7úVzì}—ÿ;Ô·ã(ý¹D'áÓò"×oqZÂYËS~*Ox[9à´ßK¤õ_âÃRŸQ\…à®åÏ»·ü¤U^å½ œä7 íSMÿÔn”~ÊgÈ×oë•i9úIrµÖÞïës=éǬõkÿÖç|9/±‰O ~Tóé}¹z.ÙõR>Z=·&÷žÖ÷@ÿxKÄKçÈVúÓ§`¾VúWz7ú¥ümí¬ßtE<äGyG:Ê8R­ïiÝ-ý7ŒO¥§å É/v\b?ÚrÒ ÄG4¥]ßè;œèµö¿µƒ>)?Hgà§í)èÛHÏ}ý\öûX íÞ4.ñ·÷óI9!¼É9vý–èCz§~¨”‡ ÞÐînôÀ<¦úö~F«WRJþO‚¿æ§÷ˆgÅ·üOŒÚoð¦q4¯é|H»¾¡vÃñnçצ6Ž™êY=üo“àÝV_NÏç#þÒÈ?ê£Ã{d6:Ò÷“öûŠ³ÉsËõ|H;°ÁOx¦~ÐëÉïV5}÷Ðr–ÆŸî ±÷¼T~zÿ{mm?@^×úkªùP® 4½¤×§zÑÊñi²›S}|_?ÒAó°Ò¹Ñ5Ô[+œ„ÏòQ¤SÚÏÃ×Æ5ïëcûXŸôÕTïK}áH{’è¡÷©Ü!¾aÜ£¶W‡z„èË—,§÷è¿';y¸.#ú§ãó×~Èïá×dõœ{Ezå;HïÅøÄ_§x·rXwE¼ žý¾ym_ßËaþ=š?†ðô¸ÊýŠ©Nr—ÊW8µ€õ?ÊÍ}}ÆóõŸ–E®ZúRÚÚÛýýò@z'ºÒ½çO=[ü¬/õÝ“ÿEç°¿mÒþL:÷œî/Jõ-¿¯ëïJiêEx+'ºþ”§ö‰¾ Ïp<#y_2Ñ7¥Sßûs_ŸÛÛ~ßZ½³Á“q™Hð÷VÏÆ‹€¯§ãöäS¼’ä¶Ç.vw£»”ñ†DgÍGkùü×ÇzÞ°~?MšÃø£þ¡{ç¦~˜õW¤_‘Î7Ì‹_ð—Wº§vØÒ•’Ö¿¤¿ž÷õ+ôéy›ú!­^/í4å·õÚuØÚ®þ~"É|ošR‡§ûµ§üôäß×çüÖ®·úéû’µþŸó“vÜ‘.¸òTn”ÿÖºëßW‡ÞëûÝ×ñNô¤øh§/8°oéIö­¤'ÖOþÅ ~³Ñ™âðI¿Q¿ìþ_:/Gv-ñÕ0®ßŸØù®ÏŽõoÐc”HFþo÷)h*ùá¿ùù¯oï nêO›?ö¯ä:øÉ/÷3¬œ½)áºÇúùå=„¤·zéÞªa*Õ{òïë{yZ÷”þúÖNòÃJo„cç]òqª¿å[ù?µÏ­~®Ÿ§ç/Ëv‰^­?I>[úé)ÏU=ùeüÊÒ±ÁÆP?”çÈ(‘=Óã_Î{½.µv:ð£¶{´Nt€~©í •[ÿå¾:¼‡ó6ö[JÿBóå5ÿ¾¾¿Ó½ ÃuBÄ?Åî/zðÚu ø1é=ÕÇu3é¿6FôXyøÏþLŒ×ÔN­õb9駗Ÿ_ãOq‡µÞú1}o×Ù÷õ±íJjgÇm(÷OûUž5Ùû'ê{*^ú¾b«ýµq’DOÄ—ø¨´6Õvl¨§©>ùE½¥]Œô€?ù÷õô×ÖwK§–—Ãõ‘Å[Ó¸îx‡ñDW¯ý° >ѽÕ+ý§Ú’ãFtoðÊýÊ'_Æ5ˆžµ|\¿\ÇE<O”~dªë•ýŒåÒþŒãKÒ¯©ÕK[¹Ô „í©õã×5ÓõãoxÏ…Õ×­[-?[ÿÓòcéw<ðmüHêA«_³_O{¾ìéýS{÷–½­åÒ®«ÀoÛß–Ž!Ú¾ÈûÅW8WòñšZ9žÆ9Z:ñÞôS¿·ô#žv_ñy^"•kz‡qŽ>â#ù“ë|mÇ_Z¥ü¶Ÿõ½(Cî)½¾Á±ã~ÕVOê‹Zîí9ú4?¥¾ÞàÉ{;m<ÑöcMäj¥¿G)_íø¦Dô¤Ó®?NíîFGà3¤{ŠÖcZŽïë_O‡ˆôH½¦åúTŸÿ§q£uìómðÊ{Ïi|°Ý:~Ò^ûAã¦õ®Í/÷¼ØOú~ÖUÒÞEúÊøS»ŽJI󽔓 ~˜G¢ù~…kÏ#ƒü&ºŸü¯ïÜíz®×e».Ñ·å·üPêóÆaƒ_ÊWÊ·vÅòáá—·úiÛoôP;‰oMu‘ñŠ§}‹Í>•ö塽ç£ìŸå¿ /|O»ÂI‰ô®Õ‘®RÞ)}ÓñÙê[þÆë]öÞ¨H'Ùezo×Q§rAãjý iïÖ„ü+ý‡·ø‚äñ[ýÚÚåÄ ÞzHé×ùÖï)õƒ¶—ö<@z–ßûà8¦ûÂK½¢ñ·ë¹C9Eà¤ÔúÚ‡q"ømùVŸâUážÂûºþ—óVûzßty¿ÈS^îƒk» û8ïRßY}¶ÖïÒ“ÝÐr&×Á+ž”ì8P²ö”úà¿ÅvVžÈž,öœÚé{•­^—í>kW×|äϤGÂ-RšþÿaË·ý þÙ §^?”ö?–¯ô¥{݉oK=Ë¥yÊíwTkœãÏ} ÞþJ÷V¯ÔG±ýÔ/°úÁÚ‹¡ß1ÅGt§òønï×[å¤ôó‰Þz\†ñæDÙ‡¯Õc[»¶ÿä×ýôœòcÐÏ þšÿ¼Cüõê}ýL—ÕÛZéË*‡~XüšÎ$Ç-݇ñ–­<ðñV_Ž3âŽ_ªñÙu1ñ§ì/ÎÓKöS¯#%½é»&éØàÜ×ÇúVnS}â‡HÏÊ'é{Þéý×Tôx¤[â%|ÔNóMâ‹á½A·”Ë^‚oå”öWÆ“iœìültµöGÆu¶|yn"Á©åþ·²å[;VÚä;o‹óu_éZêƒ/8ÒN­z–ðÕã'õWÂK©µ/T/•ã÷ëÒžE<÷õ3ý~WÚ¯O¿ß×ðÇöYŽO|·öïЬùÍÆä9ö„wË—ñÏH¿·á<¶ñ‰±OãÐþ?Jžc^ó·ú2n©õ ØeJµÜ–ß+jýz¸¥;â·vä=áÛÚ':ïËÑE÷³–z“è×òth¿ŸrGMãëµëØ’Þ-¿üÿÁZoƒGñ©÷uÿ¬<žÚ÷éw@Ò¤d×{4Ÿ<Ëíùøûrpå|¯)Æ—lýÖ·ô…ñŽå2>†ó/í ½·þÇÓžø¸=ghùv¨ç­Ü ÿÞ7¨ûÛÚY7BzïëŸRm‡`ý@‰ô â/×k»ˆ§,¯íjÉGΓè/oùÖþ•qžzýlí&ÌÇÖÎ=‘ÕúüÏÐïT/¾—~Ë–_ËŸzå¾lÊ'ÿ©æÃ䧃²Ñüºá¥ù–üH ï;±þN©×wš7l?\gŸÎ5¬í)‘<ëuVÙTýŠÒþž'ÿ%½]û9/=SŠv­§VFxpîfúý%Òmíæ4Žü€µ^yo^Ýûú˜é_¿KµëÆå¾­5µýÛÚ•r¿¯®?Êuß7éÑ©ÜHúSûç=Ý[‘øÜâ'ÿ]ö7Âê½öÇSŽ®?dÜ‹è³çªΚ¦q”; ïôž\?Líׄü&ÿ¯±áKúXÆ_Z¬ãEþî}ý Çúõò\.®/¥¾Iùˆ¿G®çwáûÏ•®6n±ÖÛÚ•v.Áòeý —ìX×’ß]=µ±÷ʼ´ž"ý´á?äºy¥sÞ©}Ÿ”â¸%}kçè%:pœ¥ýßè™úEIJùnú Ç©ž¶¯0ÿO{à{Ýè±z.ÅËsÚš¤ýÖë)²×äßÉï|7øÓ~IÿaÃ÷æ®ðÚ¸¡-ßðÀ<Çör¾mJz%â…qè ã¾Õ“üSÇuJ«¥k*g4–Î ô?ÑÝÊc¬gãSô~_ñâº^ÊÍËVßê™’È¿¢ù&:Ûù×rhý$˜7‚Kø¶réŒý›V.Ö§½O¸OY<ŸÖžI>Öñ¸E¯ ½pÏB¤ç”ß-ÿȸ Ú£rßÖâ·vnüâÚ^~?¶å'þ)¿CE¹mïo¤sX‰žO©78 ?Z¿´óÐêËa½5Y;gÇk…Kõ[}®ûzfk—ô ÈGk_¦ó¸Ñcý9ù÷øNúÀÊÓÐ#yKõRªõÇa¼ÎÖË]kŸZ;NvüÕ?âÚ£oÚßá~üó.ùê·ãÛK½›èôÉõôúý‚)½à/j½Kë/Giõ~kíý5Rþ7úiþÓ8Ë{˜œD½[|ÇðËx”÷Lé<Æ;c­ùÿöWG_Òö^+yïÉ—ë›Ò÷[=Wè—¶ÇT_æGú§úšÖs÷UÁK©ý³µ_µ}jÇÕêׯçy£~Äùk×1©á¾·­^«¿J{KøRy‡t•ÏCþØð&ørý•àmøÚ}j»n‘úǃú÷Y¹LùœûúH×F§<éy}·åß×G8[½6ÞCô~á•p6¸‡ëÄÚO•x[=èÔóßê©_§ônå2> é§ï¾K}¤ãÃû:â4(Î@óSƱSóát=å³Òooù|m·Á;ô—¬¾@:¤oé'¼”6úíþ¢•ãV®žTÏÎÇFïÐ/Ýê—ÿ/Ê-ßI}7ÕÛ–§ú …³ÑÕÚséXùOxSšêo¤¯]ïÈñÜÊÉ^´ß ýRÜm£_êçµ[þÔŽãð ¿¥+â³ãÝÚ;ûý…ÕI/Ó÷ekûõG+½@ÿCg«7^Kw?:Ô·”¿Ò±Åù`>á™Ú©¸>¾}òïë_Ïå»áÄDwJ­žÐü õc«ý[}9¯ïÉû¹Á‡óT„/•#?Oå×Ê•”¢ë)·çD¥÷õ®…'ù¸•G-ïR?Eº¬^ëqJµ_6ô§k} ó„üiýj¹NF;3ôÿ=k½v^¦öãù`/Ÿ÷ûú‘kO±¥ƱÆWÂÛÊËïµÞ²çHŽA/Åv€ßâÛÊ­”|ãñ4íý(–ŽÕ>Ü×÷'Ùƒáø_nø¬ý'ý#ï‹óôx7yðÈyÚúQÚ[Âñ[=3ÕÿdWSý–ßßÖÿ¤åúõ””«-ßîë•þr¢ßËõ†ý.aÅgù/ΗŒèù'¿E~¯áÙõ‘õÖ§Û ×îÔÎÜW¯öw$œžöW’,ǽ¶S¥ŸòÐ{ªÿOãq´®±~;ÜkµÂE¿eßã÷rvÝníÈÁZoŠoj·­Ÿ¦×Öÿ$þJ÷$J{¼Ãá~Ö“_¶×úÕî×µþÙ]KÛ~ȯ)êo¢kÃsè_jý(ã”´¼·ögßhíÙ?I7úÃ¥ž}êQªÔ£Ü/8÷õP¢÷ÔnnþÃ_é¥{Ç}m½ >èÿv}¶á'y'½cýÔ¡_¥åÆå-? á'» ð8÷õs»Òþ#}rÝ÷À±þai?£ÿ#ç#ѱҭ×ÏÒ®¯xc»@úa…_éÒñÙõ¯ôSïÊqKõ~«ß­™Òè²í"œ´>(奕O _Úß”þÛ¾_ïÒ{‡·¶[é¤óͯ”³^´ßRÏ':¨þV.×iµ#ø)^6å‹„îaˆ|$õhm_Wºˆ>€¿Ñ;ýÆów_ßÊ7<­œ‘?×Þ_MãâbžÔ[ãõ€\_ÄùšÞgôG{úÊŽ ÊÑ[qGW‰xJ¿åØïúùTï)/Ï3$:W|>è¡Xo•ã¡?”Þ#ÄïC>MíŸü_êß)_µóFð"ýÒ¿Àú÷õ3=­_›Æõï:kõ_;¯òþª5Y½ÞÊo{ÏÒ“üš’¯7¸i>¿à—~*Åꧼ}ìG”záMëÝòû_».Žx2®WÛ¢»õ¯Éÿ˜ê©·)Åu£¤›Ê‰O[>­3ÀÎhù#ÙúiÖïNt¤sÅIÊû~S¢ñ´ëS —æÛ&«Wt{ê”3k÷I®×zØÎÆ!­þ|ÉÏÙê-û“”žv÷õ>µKt ¾Ôÿtß ÜÿTÛm¹^´þCW$úþh/‰?Zù’ôoøRêÔ|«}éïýw¿þúÜNÚ‘§]ð³=É­õ7zÉ²í¤¿­åÎΫÛIýIåqœ~+¾7ô_¶ú°.¯ûÿ’³Ïµ]Jµ¾¥gi_7:¤N|•‘þÞ_ñˆtÚñoÇúEôÙŸûú‘N oMµ]iï‘|[$ý ã'kBür¼7¸É^&y(ù+•SþF'û}}¦ƒì˜·J?c£KÖ{Þ‡úgj·òÖßkñÓz-­C`ý¾á>[8[ýûú×sõÇÉ&ù¤y·ûÙSù'ú@NÖz©=á%~B¸«ÿ¿ÞóU~…ü_Λíïšì¸ ]Ês¢Çòc«_¾~¢§õ#ª·Òcõ@Jz_æ¥õzìlGõŸòD7øÑ6?½ot‚·tÝjåù|zŽâ—øb¥³Õ±¼ŒãÙTë£Ö“ýDº†öõ´MÚž}ѳޛ]ÆU6x‰/‡÷¯ð7¸Rïœòg¢#á]ë×úôÜ:÷õ9?ñïW}š×’Âû”—vr…ñÈ~hûQÚä˜þ7eéDûnýo“pRýHçá¼Z;Vû5V¾äwý­¥rj‡úâ+­=xàCüj£G®Ë¨_<ÉGTßê„G|¾û]Ûoðƒ?ªý»áýÁmŠót_ nË—5¿Jù°í©^ÃsÖïÐúµã‚^Ávëó+^”öà~°ß&É?ŸÆådü‡Ê§öe…KtÙúüé÷-§ëå4_tOœ•cà#¤âÃä'ÄhǬ޳ýªç1ØÍ”ˆþ'ü‚ßêÏDÏiü‚ê'úhžv÷õ¹é{cûÀ!Ÿ>øZý™î/ù¾—oþù¯i<Èß*ù.ÁE¹nÏ_H9­ã=%¦r¤ÛÆ­í÷?0)õÁ}Upôøú[[>Ü°ÖßÚ—ëZZ¤ödÏRjù.­ËïqÜìYz'ºÊ]WêƒS†à×íh?änxÀÚ^î—7|Ö>[=s÷zkž·ñç¹#Ë÷iýVî·F:¬ÊßSOÚ»ãõÍ›õ3À^µtYzÜ©<áx”v"Ö_麯õß=p¦ç@K;ÙÎ{äÇûúÞÇÆcˆgE¼–oÚ}VàŸh÷IO”ûkû>»_FëÕVÚyµú ÚÛ¤å¤K‘ÞOó÷’}DO´£2’ÞÞ'¿ü{Ëoã>ÄŸv¼¤ÝÙðÜ×Ïð“žHçoÃÿ]·öV¿å6µßèHv°Œã'¼ÈÇ‡ë© _’“ûrp¨_é~åЯD'½¿5.\i?¨ÝZþ¼C|f«ó–êGü¥~iáP²û*[}ˆ i9;ä“?â#?Êú;›ýKÁÛמ=ôlý âK‰¯…ßÚ-g2^´á³ëû 7öþ¨×üŽ²ÿîB¿­¿–'üZ/É~mõå÷eZŸ·~£=DñÉä·¬Oû}ñÔ/Núd¹7#á]óµKý¾á!¹.íÁÙæäæ—ð¤òHW뇔q¬ˆ—ì|ÿ˜ê]k§ey¤™wª·õ£ÝŸ(õP„›àÐ÷¨ ox¿ßô)×±DçSû­µ}Kç†ë…H7ŒÇS/¬ÿ­^Šx¥ÝÛÚKÿ5á=¥¯_²Sr^ŸüÔ?ëŸß—ªßúUë{»Nð/éi›Zb-Þ_®ï¨ÿJ¿å”~´SÁNm­ß!ï{ÙàÜ×÷ütO›\'¼±¿´þ¢ûœJûbýŸHñÁ}}/_ßKü=2n¿–Óülù–¥ž±tÆ÷·ônÉDZŸÁ?Eù¦xG*ÿ½m÷m§ú†ÞÇö_ÚÓ8RÂé+×IÏû×<Ùÿy”öÞæOù@ï¼€ÿÚú»ÖŽ`ÿìø•þê°ÿ‰+¯}‡bëÁ:dÃ+ãEV?!ýtŽìAÄWöo¬Ghìw ­¿%åÙâKý[“ÖW°NˆíJ»3Õ³Z¿K¿wÌÿÒîY=¼Ñ/õåSç%,=Vž[}^ËÌûÖ¯¯ïrˆ_ýjå3âµr’àÃ9ˆ ÞáV<‘Îà¯h;Lç;€¯¦ñ‡ÈgÓï›îëcyjWד뜾4$§¥¿d×Sk¾Å—òÙmâ iŸr¸\ëÛ0ßîg9ßúÔ z.Â!¼-_¶òIúæôzÂcíY:ÑÞ‡±Â…¸ƒö?_²[í:¯gKÇJµKòo“¦—ìª=Ïlõ`˜_[þÔÎWäƒûú\nÏq,í^Kÿš´ÖÛZ~Áž]Éß°ë`=o’î÷ɧóTÖ?„xÂWòÅF—ôƒ¶vDoËS½)ã')EþZßåù_Æób¾\§„åö¾0:W‘ü¡Œð%¥rj—ø;¥é¼®í·ü¯{E§ß¥úd/“\[ÿ0ð‹¦ÓêÅvžK?Ýß²Ñ ëñÿ†×úWiœÒw/éû¾0‘n’›/ø_q¦à7l툟áœSÒ¯‰îV^(Ÿnõ¥žÁ¸O©—6üöž7¢Óêo©WÇz†ôŒ >ï’Ý)_ûÓ0ÿ‰þñ<@œåÉo÷OÁ.<ùS?aØnÃ{_?Ó[úW­÷OêŸñz©Ô/[¹œ‡WÇ[¬~h×½vÁÎ%ø‰Î”ùìT~$]Èg÷õ‘¾ø.õ}kÿãxÙuΡŸa“–©W×vé}m7µ‰Îè—’ƒxÝ[üáZþ·òVÆkQÎí1â;ì?âµþnŠ7Xy•ò²ÁKûG4.Ãû, þV^ÚõÖî?ý¿/E?Éw¤øÝ&Ôÿä—úŸ°.OtÛþ´i“³ûúöNxQÞÊ~Öþ\iÖvT/%˨×å~ö©½žúwOþ})8Úž­õƒ^MõSŠöc(Ç)?É3Ö/áoå¥ýŠåéûÅP¯æ3ˇÖ~´úÆwËOý”ç Vz)µþQ+w©]¢3Å=j?Á®{þv½šôËp|OÛ·plÒþ‘— n9þ‘®é ýTËç÷õ#¾Z/ÛuÏ”/z[ûIùZþÁ.¦í¸ô/hìÇVŸäƒâ ÉoÆ%I?QýGÊwlWÚà–~$®ÊuÕ©œ´íÖ¤ã"ÒŽ×óÙê9¹>$|mJóOóLïSyµý°ö}Ë{VÊ/Ùß5µë½V¨þŠgà ò£Ïo®pä½Ìdçõº>ñ¥´KOyꧽ§Àê‰VoÇ3ÙÉÚ.í(mp—ûJ Áméˆq6¸oà4®ƒOZ‡~©_Òûšû!ïϪå€ìÈs‚kó·z2þ”ÞŸüûúˆÿØ¿xKÿH¿jƒcýÅÔ¾ÔÛoƒ qõ§¾ä»ZO—|FñÅ”?½7튌‹ntµzÆÚo°×„?ú÷5¢‡ð¬å[ý¡~oíèF¯õÛü2±ÙÅrŸ ç¥÷’>[çç¾~¤ãø½]ÞFzJ¿Xï#ÛgÒ÷-Ü4®!nüÀ…¸òV/ÑWú•[¿ìúè%>Ï—ýŸžãLý©—=ÚÏ;à[:Öñß׬ÝKöy£Ÿô‹Åp6x2Žñ•vÞÆkìúnŠïi—Τï”H¿RÜ®ä“d?ü-ª7Kº×ö-<Û>%Í¿0Ÿ[ûûrtý®6Y9Çx_úY9ÞdÏS}«7Ööº~§Ôîô¾„oåœôž¼—qƒ+¿µr¹Áoõy‚gï[z¶vÃïóžú’Ÿk¿…ô+k–þýÖ~å )Ϩ/“^¡x!È㚨ÿÖGüd·üûRí·~H9µýHð#^Ù_l/ÇéÓ®“AÏ%üT^ë»Rþ°=é·ûú\ný:˜¿ôžðàøYÿÁÚi;ÃûŸòp¿Ÿ•›Pž¬~¼¯tnõÈ¿±óp'™îKIk¾YÛ=ïR/é}ÅÓÊ êð§·v4®)N)¿t&~(ý¼µ|£[ú•[»p¿PJÖ>´ñ‘Ö߈tµ~KéO<íÚuiâ/ˆË$:)ÕëR9Tnå“ô¡Æ#Çíy=Û‘~®Ç78-–|Òò;΋g©÷Wø‘n¹_áÛ8C¤cýßxꧽoàë¹ÐŸÒ[ú1–Oïµ"¹¦ù?åmÈw§|œê§dãž<_픧TžàGxv=ßêí·é\ç£ôkj;r_ßßíü´ë{)”(ž9¿ÿ±yþêÏ×þW°ßˆWúIV/§„vé+^ÜÞÇÝÚ âCÉÇ OztÁøÙuÑ“ðÆö­]†yCºB\ õÅõþ×ÿ7¥Öz`êŸ~Ñ_?ãYáý©¯õ¶ôg(Mãã /Á%z[»¼Á³óVÆ…ôx2^·Ñò°Ñ±â_ÎW<õè¾Ò°r¾Á±÷U'ý zNó‹|np>Õ_“ž×C¼Û8À>F¢ó8Þmã—ÿê·ôØøyâÓR(Õúmø´ø,/—ëý–ŽžÒ.NË[¿ŠÞÑ^H»øÀ%¾.×áÈç¥}Óãúõ¼¯NKïPnÖdåb«_~ÔŽûóú6á§üþîó.õ{Ÿúêiù•~‰æ/Ð)¿6çGêÁß’7½žmõú¡Ôã–ÎI¶þéw«†ã€óŸôny/+úRŽc¿è\So\Ë·úÖ>þòä}Lô¶þ Ñ•èOùäïltMùù-ýÐúYÃu‚ö{¾ž÷õ¯çôþYšÇ鸦ýëa<é)—÷ÇZ?q­¿Ñ!ϬíÖ4åß'¥S»÷äËõ†åÿÍ^À÷þ”6øtÉ~ß/×µ§þˆµw.Ñ_ë•©|Nõ²õãAÏE¼p¿Oô#Þ_Wªí:Ðo qç Ÿôçb?î««ü½>‚'ýÂ-¿ã¤ÿËÀüc~¹^Çñ$9´zKò5Õ·øÛxC”³ÒÎiýÝÆ †q˜ ÿê¥õE’cxOôØÿ#ltÉs[»0nØžøLÆi4~{Ï'Ðé\Çõ¾¾¿ÓøN÷ß÷Ö(íNlG÷%Êù²~ÕVÿ¾¾çÿyå°Þ^áG¼©|ŸÒ~ÌÐNLõaÄÓ~×@r’ü²á¼h{ð²?ItFzÚxW¢ó¾>ÖÛÚ[ûî©xÊ¥þˆôJ;ºÁ±ßqÝ×÷÷¡¿‚zÏúrIΨÝS~'$ºW<Ö®§´ñ#ì$úì<ÙøWÍŸwMšíúàa=+„þ¤ÇqñË·ö0o®]—$}“ìšå+ê·´[ûrc{’›µ\Úy’£­_«=±µkûqÿ)åVëÃRÞ#œöÞÉŸ$×Ö¾Äö÷õþž’¯´^|É_Xá>ï¥]"úkþ-ã‚IÎ×z”ãÔêÉûúŒxñ·q„RÏoíÒ<‡øS¢;•üù´‡óÈkšú©ýÔNÛyÄþØ8¬o7¼÷õ±þJÿúÇ·ÕGäw¦ñoã Ò®á<ÿ—ö0ÑGt×ðïë_Oy¾ é_”[ˆ»$úÖ|ÒçµÞ½1ö3Z{*ç­ï§ýðž—i¿ýé=¥1}íºªÿáúrÜáø%¼§ó®õ¤¤ßö¯]DºÊyžÂIÉÆe] õl'È_rwj¯Ryìït\¥™àÔóúÖú½µgä_¿Oõo{¯í¯–ÛÒÞÛz(Ÿ§þÉ]i'Zz·ö÷õ#\½&}?”ßV? Éïq6:Ï1i~Lòs_ßʧq½.ù÷v]@óVÆ‘ëz‰ÎåÞÂcõxÄoãÉ­±ôœ'ίtÖpùdÊwHßaÜà©GzE~÷bõAMÐëß¡þ”v”Òx|H¯€ÜÛñÙ软ð#§~²¬¿ÑYÎëÖ^Þ#[¯Nã42¹Ö?•?â‡5µúïánù1Ñeã RØñÁñ-ÏåXoñGð{«WdüŠø‚òÑ•qרG†ëà~©GÖúhçËøÂØŸYßá|ðï-ÿi[é ÷‡*ýÄ/õèZNzm«où ŒKMçÝÂÞËs6 ÿ“OëÒó‡ûî)Åyöžü‰DO=0nVžOñ£ü&¿l¨'È¿˜Þ£¢åé%?Úú¥­~pÒ|}ÙgÑøàûCG‘øµùÞÆ™îžÚËVÂzdíŸÍOõ,c»¶Rþ¦vÑú‡­}L)鿵|k×ÚË—øÁê™v\ŽãÖaŸ åî×Ùè”ãeí=ÚmÒ÷õ#ž”ÐîÚy¦ÿ9·öSú)[}ËgVÏÊqhõ‰ׯvô]&ñ÷[ôB|.Âòy ?ÕOíÖü”¹øsÎÆÂMõlÂq´þ‰å‡ûú‘Þ±\@Üojïqmå¹ýÎÝêËCýóø[üÞ‘ÞÒoŠðZ¿w]G&{tè?FþMùöÞ¾Ò=p¤=]òµÄ߇ëÃx¾)õ{8ŽœR_>íWø÷õ#ÝïJg²ÿ­}Mý/ï¯Òó?<Òê§ozßèêÍ ^y/B*Oí)_ëÓu|îës>Š»/z÷WÆëx_¹nDxR_¥v„‡Ú·í68)Þ)ã‰5|kK}B|Dô§vî}}ù3ŽéçlôMùÁÒ-ùÿ4ž¹á•þTl×~Ï‘âÙdOÀ?¡ñÛæg=·9•7«ï%?<õïës~ë_H?èÉ·~_»N(ǃè{Þí97Éÿk}ÛßDwÍ$Ï`O¦ç-ŸDúi?iHéã ?éá/®k“\>#:O×ÑÓqXô:¥z\m¼§•¯i{{Ï&ÝÚ®wA¿<íäùêˆ'Õ£õœ¥Wú5)<²Oé3r\°ÝþõÕò»³ ~i¾·¿?¹¯Šž5i».õœ^OØñ³ñ.I<Ñò5_Á½ ÉÏÚè–úc…ŸêMíœÖ$÷IßÚïgJyKíŸ÷©aÇù¾>Ã)ï/ :#­Ý)ý÷ɧóô©‰žûªèÔz¸\÷ÖúBÊ]+§c;Fv€äô@ÛËoã~&>²úæ«þ×»¼×~J_¤#ÁýC_JZ¿ŸÎg7jýË?¥ß|úžàý ²£¥}³vÁÂYëéx&ñ‹ÜW&ºõ¸ŸlpŸ½[ÿe¼uÃO~.͇í/àÙð•únƒÓ®S%_EøÏéºQú˯­O‡ñƒ>ÑMv5ÄÁ¦vƒ{*¿¥ÜÚÛó§Úžv¼¦ë…ÒO@ý{_ŸóIß[»béù¢àEøe<ò#Ò ÃuZû=Šå'Œ#þÕzbm_Ë)ê ¢o…Û³|€ã$ã܉þT_Û«Ägv¹”3;®kÒz¡ƒub¢k+§qúñV!´ã|jÿîë¿‘"_Y;ÆéâSHÏÐ.­õ-·ÁþZ?æ9òûW9ÍC‚ÓΧ]w[ýKãñ·±]•vŠÊ[;˜à=ï«Þ%{5|Fü¥Ý«ý4Z×½ ž¦CêåÚÞ—üdû¹Ö'¸”bÍ×–v×.Ñ“Ê[9ªí·´{?Èe‚Ûöü)­§ïë3¿(ùåÉ/ç/%«g¦v¹ÅËéÜÑ}}§ñ’~ø†Oê‡Øþ·å¬PvgÚàÓÿêd¼l:>©Þt}ýÔ—ö,ѱ`ïåÞ·v-‰ÿå}ȧv¤õÓ¾ôÏ78VNl|ÅÖ¿¯ÏôLýU“Où]효~kô8"\àl¿Žëz.ê¾~ÄKð8àoDúÊ{¸8??¯ û±ÎkZß—rÜê ¢7%½¿iƒÛÂ)õl+7S}³Òù¼§s¥2Þ„tÉø þ¿ÄÆVþ-ϱÄþ@¼KÛ£•®—ìùSnïŸ ¿½ô¯#Ò£iÞH_ØxÙËWR¾¸`¿×|â¿-ÎÅXZÓØÞ‚žné²öñy§{EãdŽ[ÉxQzßè\ùâ¾¾—‡{H´¾—vg«·úã¥_kSígœú)`?‰>Ô—P®áÛø¡þhíQJS<úü<ÈŸåÿ”Oÿ¡JtmõZ¿Éò•}Z9¥¸T©WߣϮé|ê¿tdœ‡v=dýÛÃu Ê ù/å9ä”o×ýÈC}Hï±ßë½¢S{aë×Óz¼).&×;oÙWWkÇ÷ÿ:¤þßð–~djšìx¤v[û5~ óBv«®Wú'­>µvv£g‘Ç­•ç’Z=•ð&¸õxÛ{wZ}qѵ~»¦ÚžK}ÚòŸ…¿ÑYòýÚ~ƒWú¹š®´žLò$ûOx·vS>°ö èG¢ÓŽ3Ù_´Ó‰_Û}ŽûúÞNòý†·”#]^ŽóX?µòlãî/é ~k‡ãLíÛ¸—î'ù­ò׺ܮû†ÏDчÏä´ûçøÈ4¾ÛÖøœû:‚»Á“ûO;ˆlðeû±\œV?½Ïû-¹²ñ‡'?Ä §ý\áRý)ßÛù™úƒ¿%¿±]{þô5ÕoéësÐk:¶¯´|s_ŸÛÁ~ÈÓ^âý{ådjÏìxõGþïè)—q¾”辺Z.@ïÅxE{¾)Ýûy_Ÿáƒ#;•àœúw+Ü”Èþj8å}'/áÕúêÔn€ÞÐúÀÆs“^²ñƒõüÀMð§ö<ÒEã”äMÚÇ7•·ß”ü홿 ¯Ö¤íšµ'ÔŸáº]ÏWëIú4ŸNÏ¿Áý@k¢~lõÚq!~<ÔS/íCȸæÓ~_š‡vÝK÷™¶ü0”ï ¾µ‹CyÒëD?ðϽé{²­ŒãZߦñ¼µåå¾\ª·æ§DzÂÒý’ë++/–>½.;µdÇ¥mùÈÎ÷iœ&ν׮Œ£RÖ”æC×—öq+ò½¥»sY¿Ï&—TÚoðJ<§rú¼Ë{ƒÖÔ꥿åÂgåÖÒ]ë‚gã(v]Bòdý 꼿s}×vÁÚ[ð¯c;»ïtGø@ÖOô‡}ÑñÙþ—~Bz_óµ}¸¯Ïåð]žõ·Çú¤]ïåE¹¼¯|Jt_–?ŒO×ãu:ž§ ;’ô.­_ïës~â;¿zW<-ß<õ†zìåÖûú±¾¶C~ÚðÙ8Pø¾ ÝŠxZ¹Jñ°C9ÜêÓøÛýÃá¼>õC¼=Ñ»&]níŽôCOmw¦ërà—6n™èZó#ý¶~û´÷k”zbMÄG©{lgýòħ÷õ¯'Üc¢ûßöôa‚Cð¨ß N‚;­?†c展—/¸÷õ=?œKÐp­üŸÆ!í:ÀêIëoÝ×p ~JQ/–~O¢#Ñ5½ß4áYùljg6¸ë¸¬|ÜúÓ6>˜üüRµ|–èˆðÓ“ö¿¬ßžü^ˆ#!ÒºRÆ¿7¸RþZ¹‰x‚=¥ö”,Þ-?Í£ôs4_Â=Bé¹ÒµÁ½¯Ÿá†ïÜ ¾ÔKO»öœ!ÙÍC»¡ý!)ç+]š?d<æi×Þ—wºŽ¹¯Ÿé·~Èw¤÷ЯÑzÞò=7²®¬½£|˜Ï•®N+§/ךêyùòƒà|îÎoùmüØ®K~Žþ@»Ÿßê!êoßÜèû¶ámý S{"ýëD=æoÅ·Á·q+ÿµžÖkÔoynJzüÉnHn-§w”óé¼À½jHGéç$z4½C»BtµqÕNâÃ龬Q_&¾=±Á‘ý¥vѾᯉô€Ç¬å ÏJîw¹>Ùð´óÔÊOzÞ×÷ú­??•Ç¡Ÿ@ðé]ë+Š‘œžHõt~)5ßØ8ÙˆOéú¡ß/ͷէɯùº¬Ô§‰Þ-ŸàÞ×xÐ/>~+Nð”Ûó@Ò~[þmå.•·ti8d÷ý)éù%ºïkDïFÏÿŸò¡ß£á—öîõ¸fÉ©Ý“¿ìû¬õ©½…¿Õ>xê—ë¼vÜRûO õÙK÷ã?ï ŸŸ÷ûúLé1wš®›¥^ßÚµút½¨Œ;­í,‘nðËb;ùåó^~÷kámt-ôÕqÆáþb„gågêGJ=Ó®+6x÷õ‘Ž©}[ßIo¥ú¾ÿ?~´¦/Ñq_ßߥ¿ŸèÖò ÿÁHí6:­Þ•rñ ç3½'¸hƒÝ°ôÔ|fÇ9íS”÷#lt½lýÊVߥvr?2Òe×%C}¬éøšŸð‹1¿Ðù )_(S=[ÚÇoŸÄñ°ëdyÑKï$§øâ8Âùù5i{øt—Ç[Hߦ|8/è^ó©ž-ê%yúïÏ;Û£ý¡ÿ¢í¡ì'Ñ—èÅy!º`<­}|ÚOý‚oá>õÈ.½/Ýð•z{£+ø[{ï×þÕpNÿ]Ot=ùÓu»´»ZžÓzÆÚ k爛_“Ö¥|¤w‹7â?\‡$|ºÄŸð þïM¶úò{ÆD× /–':l‰âaö(­§J;gË×ü>;_VžI¾á¼HZ7&z¢¾ê1â#”Sš¯ÒÏHõZ}€ú'Ýo^Ú1ÄGvy¸ŒðÀßj×Ã+Ü:^jù êÙ|ú*¶òí“_ëÙõ†õ‹mjá Ý‡ñIx-=äX9}my™×ØÒ¬ õyê§]G ×[kûç]©åï©eõH„#é™Ê-ÊO¹ªé—ë /%Kw ÞÉŸ‰tÊø‹•÷Øî¾>èzÞé^£?p§|ë߀WÊŽ¼Ÿ ¿¤u¤?â‡ø“>:Õoi¼Ëx<Ògõú}ýŒ/Ù ù=\”[¹¾³úŸÚk½oýÈ6.I|òú³æS?ê8tÐ{vžÈÞêÿò½í+]¬ëÞ~ëoX:©\ëÕö»xз+]S{ñé!x+Ý©+z·Ïˆÿ°¿)Y»fé~ÚK}ñÑwô^’ßk¶ý<¶c庫¦Oú?Ÿ’öóÊýlgóƒ?é”ú)µ·ùc}`å´7I/õ#µ×ùC¹$øoñ=–/ßç<ù$ßS¾”ë¦Õo«ãÅÃ8ØóN~܃½ÂmãTŽôø×í‡öÖ&„/ý‚;¶S½æÿ©oãC‡ãiýƒ©žŠp¦þp×Fý2ä_¤Ã®J¾XÓX_~âÏ’6¼VïÉ{”ßâ7¢“ðk:m»òû$ŸäJÎÄwÈï§ñÀ©þ¥uØŠ7>-ßIøÔ~*§[½•þ%¾ßÂ}êK¹'ºò·¬ž"ù ûníüÒx-ñ|J[;i·µ=˜Ú‘¡½t‚ߟ6¾㶦éø$8û_Æ)W8 /Ñ‹õï븱ÿ–ïÛ8¹Ô$¯:îbé+×Ï»¼_¸¶+’ïœ ¿µ£©}:¯:SH½@üñÔ;\¿Æ÷tÿ9Á¥õTÒ3÷õ=ßÞûmýRë­O:Oiïç ñ°Ô.õok'ýï§þzÏŽ¼'9‡{Жò¾¦ÖŽR{­‡_’gÛ¿ O°­ß¢áÚúíx¶v¥ŒÕú€ìØפŸ]”oñ[þ·ô=ïå>w*ô”ëµ)k»Ú^Xù9Ô'cy°|9¤gM‰Wºb»¡\j<§ãÚγô³ÚùýiÏÛÝ×w8­Ÿ“è–ý¤ü§|¿±÷@ŸÆS¥œmð^Ò ‘^Ë—Å'­|´þ éïûú(ý¶ëhë¯Òúkh¯·ö¥ßL|Zã—ü¥ù=ù#Ö~÷Oë’Ãû¬¾ÆøpÂwxîºå'j—ðMíi»®®íéÔnKx±}—±v`«oí|é_lpËsíÏûú¿ kZ¾KO¥y}’ð¤dûE û}¸Þ±‰ÆEÓ[ÎSkôø å%Ò#íuíǶú–âIRY}Ez4Ö»¯œ ¿¬—èFyOãô‡þT/â öoƒoí<ñ±-oýZ§I¿cÍoÓÆGáÞŠ ?É×áùÜÓ|äÓ¡\¾o…“ø)—v,áãîõŽíW¼wãHøZ;¾Á›Ê碯lûDg¢·õ/ÉÞJ9Œð¥=!º­<$ü–ocû2ŽÐÂO ùâ/œ©ZÛÛó]6Dt•|Yã+õMÊ'ÕÆ—[½>ŸDæËyléÞà®ÿ6ü+œûúþNÿÍhùišÖßÚƒ>´p,þÍ^Iù@? ]¿Rœød­Ÿòk=ká-úˆà"Þ4^ |¬Oó4”Ë ÿj,?¥~/ßyDûñÖ¸íÄÔn½XoÈ¿Ó¸Œîß}}ÆWúÁ ¿¥ é q£ç&z#^kGí>éãûú‘N¼W_Ú9[®ùyØçu§4Î/Å5þ°>ë1²åý"kÚηöü;O~é_)Mç#¶O|fã«]¥¸ß5a?îëûÓú‰¥£óã 6NkéÞê“]&»šæ•žrÜ7|+?‚ŒtʸSl?´¿¥:Ž'ý”©Mô‘?–è³øôxËuo‹7ÒSú» nÍ×ÓyšÚÝ$ÇRÎx¥¼¤òè×J=áýœDÿt”RäÇéý7Ö¾”v*Â;ŒëúAúüÌÔÎÒ‰ô·÷N&9”þezOõ©Ÿ(=po·úVÏOã ÖŸIù2ÞMþÕOtLõ™M–_þ8ž>Üw©íë}}~×–î“{êúí*l¼7ÒSÆëÐîÐúî3Jþ@Ò¿[ì³Ý¯í-=±Þa|v­OxÚñBz¦ò<Ü×Xá=ïàGÚ„r¾ÇN|½Â­×ÝÒÞíÿ×?þñÿÖ$— ÇQOŽ›þÞHÊC‚‹ô}½}šôH«)îÙÆÅVü÷õÎ?|?o¿·§dõÐó.ý\-GÔo»Þ.ùk£SÆÿ/ÐóÀ£uIOŽõ×ý_Š´ãúâªgHNIÿѾzŠŸK|)µþÚF¿•·4÷õN©ï6üvþH¦ûIþÒ|Ÿ$>&86¾ çu+'û™øªµÇÄ—§~Éù}ýXNðb9í3Kûcý¹ûúÜæiÃßÞ×Iç@¯ÄþLù€¾{—þÔÖî¾>ã%xÒÿ£óh‘>˜ïXøï=—ü9ËÿÃ{”6<0Xÿ¾~ÆìàVý{òÿí¯ÏxH/®Ït¾€ìÌ/Òö*ž(íøSnÇ[úëÈ÷IvûGö¶í/é¹´ïoãqäÇS»i‰Kÿ0ž½‘R´;ðÔüXö3ñáCé{ð×DãùÔ[ùâ‡ûWäw[{r_?—'½~õcùr?|§­=Ì÷)_<ùÃó[ÜD'»,ý´§}¹_´ñm'#ûÒ>ïë3|ëWR0Ééšoù,ñƒ½7Àò»´c–Ζ_· ´Þ“럇^¹#ÿÍ·öß®_4?·ëyoÝ•àox¬žOñzû´ñžV.¾Ö1AŸFûKõ©ßÒÞ¢¼.ë°Ä‡kª÷O$=’kÏϱúã%ùJó•®s’Ý&ûzÇÁêiš«ÿH/‚½CüAîפíéëéþa꯴w±þTŸ‚Ò³Õ#¾±þcÐ?±¾]O€=Y“ö?ŸVº×wò+´ÿ7Å ë’“î}}„û”x]´^"þ±û$­ÿHüšÎ·“]§§\·¯)®3¨i\l¼ÛúQ–_¨Ü®cȯ~YŽ“]/µûlÄ«œ·û9v“>±ë;o$ߥý¹¤ï¬ÞJü ù¸ÖWr½OýÙÞÿø +ýÏ{Zw•úfkgçã¾~,ûí*=)n#ý‚‡®é¸&»IvôäSßÊœ‡ë/ÒKa=Žúc™¿N«ÏÉ/#¿—úµÒg÷ñþw¨Oã’üéäWZ=oãÙ’?k¹ 'ØÃÌK´ãÃ~® íI²gÖ&ù¶ö?ñ½Ô·O}«ÿƒžÒöÂòQâ'â ðCIÆzCxÎ})¼kB½mÇìD¢‡Ê7zAnvÄú­Àoù‰V¬_z_ŠŽDïÖŸ¶ŸVK½‘R«_Æ~=[ðû# ‡q\Úý?K?ŒÏÓî0žÆg}G¹´ó|õ{9Ošÿ@=ô½±Ñã°ÁmùNÎwÄCú\Âmý&KG⯈÷ëIûˆoõ^ôû(¾cãoSûà=ï0®[=©">ÛÖO¤x¹ÔoVNã|ß×÷vÖ´zâ°¨‡ÈÞXšúøqÃ3õG,ždäþù gƒké^âƒiÈÿÛà¥~Z>Kz ô˯ÔW±^k7ïës;é_&üOþï ö8–¾µ]í—¶z.Ù‹VoPüôÁóžø?èͧù‡­}“~+Ž_«ÏhÐêSòÉß²~‘'é7Ør‚Ï£Ûý ;/Ò_]“^'ÙõÈë†ßÊßÜõ{Eòë¤þ²©ío´ßä×Bÿ,¸~¿¯ŸÛ¯åt~œäøõig×ÙVÞ_Ÿúi\†óéœÊµµ VÿÊñDû,çÿÉ—z åžìÅÃÒ¼½KÜá¿“ôdËÏXÏÊ_©'Qî¿æoºOÔÆhŸæt\‰_Iß×÷ò¯÷uÿdÍ_ßi+éÙÚúO[}©Wb;k­~”ëþVßêóÖOOð¥¶Ò~AâC»ß%ÇëyÿÂzrMÚï‘ó›ô_j·Òñ¼§{4Ö~Ý—¢;Ò¿´O)ƒÙàÝI|lS<§BþÉ7Øííy§CÓcýÙ$—mœ½Ô»ÚŸ%=dåŠô =ïë;iÜÖï ìãC'é38¿ñÀ‘väy—~A½ïOõÖñ ?“ìXéÇFäå_ÆÏkÿ×Úe ËÓ¹FÒˉïIÿþxàO×'ÁÛÊ[½v9¥è­ð¿%+ùï4~´þ\àlý€ùxêÛòaœbL—Ý_,ù¯¦×ÚQ)Ouû•¬.Ï¿¤×oÐﱟ$oÒß$ÿë©—ìøIh?É¿>Ôv¨õS€/ˆÎÞVßÚ;)xÏŠÜZéÄ~zŸziæá¾>×KþÓWý0?Ï;̯­Wëõ2NÇ3ÌW¤›øÏêÉ$O÷õ-«¿êã?õ·z Ÿ]?Q=G‚8øš´¿˜øXúG+>zòòÌË_ßÛI?êy3%¼/‚ôz;>¤¾ÖËáÜz‚O~PÊ·÷ÜY¾Žx<òÛž§ÞW?`}~Dâ:oú`˧þXý@z>åß×Çòv¿6%Ô×C½‚ût Çžvk?C|3ÑE|BþðöÓèü ñøkJøŸòÒo‹ßã¿)Ò!õ¯íW‚3Ö·iÝhõ¡õçÊu¢åí/$¼6î ú%µ£ü§|¥ë¾~ÆúcÛÚ'<éü§]w¶ö€ä›ÆÅÞ7Ÿæoõ×%¿FyoÇ+í·“HvÆŽ§Õßr´á!½iå›èò¯¥wˇÿF¸Ö>Êýò¸ŽIõˆˆi|RûöœÁú~_?×'¿*½CVzP_ÉþGºi¼¥Ýª÷ß(Ÿú!ýǧ¾´Ó[}ë‡Þ-õÅJ—~&þ¸¯õׄrÚê©uÞ¾èø?ÓôYÆeÅ—ðkù½Jí7x_÷ùZýÆkÅ‹~ºÏDÄ+ç§æÏÅ/Ûê¥ÿëýt¯ðŸwë”ó‰ös‰—mø“¼ØøSi¿jù‘ë¦-ŸèOôÜ×gº­ÿAvOÚ¡”6¸+ÿZ¿OÊ«^'µ~£ôK#_­|{_Ÿó[þ£y ~ÛÖ>G¢ü‘-ßê…ROÓzí©ÿÕc¢gÅŸÞ#Óu ­Çîëç~Èõ\=/_xƒKýHÉÊ{ìÉíJoÒ¿_õ@žIþRB>€õ1Ù/Â÷䃞Ñ|²Â…õZKïFÄùqžjßô[i?7zZû~~k/68­^°ûÄGv¿ø]ꯕ® ¯‡úaå«õÛ‚Ý]ñoô¤såzfÓ“AGüI/­Þ’úÒÊSz>p,N×Ó¤] î“_ƽ¶öRÎã8ßW…WËKjë·c¿Þ¼÷õs9ÐíoÚ¯%¾ p7ø¤§Éÿ”çî[½žúóäËw²>²·/Ùs­·å8jù*Ï—¡ßIv éÐw¤·}µþvéJ~¬Ô»í| <Úø¿O«Ÿ‚ýÚà‘|Ã3Á³|¼á“vc+—ëcäÇéKõ#œv¾SÿH^NõyÒ_óô5÷õ=¿ÕsV¾@n×ö¼DO:g³Ä¿#}$'á{¤HßÔ¾YþúkŠõS¿“ÝmõùýR¯¯øŸwÂcã*_]ÿzÞ—¢£øg}ßðÊyŒpˆoiq_ËxdO­¿4Õ«Vʸ¡ž_kŸ­\’]”~TŒ«å=%P?"ŸHy_“¦'ñÕBGJµŸŸô{ËLíðŸ õ“]_ØuIz†ÿÒ£ž¸?÷Gãmã²äÏ¥yú¢³Ôß[¹÷]Iÿ­~ýð¤Æ—ä›ðÒ>!œ{hûß)î¾Îÿ×3èáؾÔOœ ×Ÿò@ÿJGÊÇùɺ¯p^’ÛäÇZÿ8é›E^¶vgýokGþ ½Óøÿ[†ö{ÿßÞ×Ït•tj¼AÎ6º¬þ]êG:Ò~^â£ÿsgp,1Îkç‰À G0 8rã¦j/»á@n2ÎËiqª}ý¨ï«27*I$’ÀÁ¥VÛ{yõ{“Â_P›ï7›~ë^ÂM“K|fúü²ö—Úè{ô™òÿé{e¯þÛu‹ƒçìÜä™= ¯D¥õ½p9íGú=×÷º•£ñpÈó«^1î…<%æE5_Øë»Bz×ûÊçHt^m¿?´Û¦÷°_õ›½Þ®×ãë·öAñ\æûÔOñÑü¯·öG~•[ößšCžÛ×0T½¨(®›¿¤ïëˆÞM¯Ϧ¼nÊGë}x¢öcòbÿ½ŽöÝاý¤|…Úïw½”_˜€ï('Káü¨¾_¾TKÃ:¯×ÑpÀxú ïR» Çß®W}ëüÐÿø‘þ‚§U÷©=¥qöA[»]êÁx[ÿÆW-¿‘¼üÈKã|}ïÅö}ªŸNy“<';õ ®Ç¼x)Î?ñM‹¯`'(—ÚÉóKâc4®tÿÅp§‘âÐYÇŸ·sÔÛìÜÞk0¿¸ÆCvó}î§û«ãžög|u¯Ž´¯™ò¥KÎ4/HýÈæï·Ÿ—…ö[‹Æ)‹ÆÒx?¿7ÌkŽ>Oy/á½ïa¶ö²ÞT¿éSÿ‘u«¥ùÏ^÷í ï‡þ×äÚú}kô|,Ü—kúXžâ^ŠµŸi¼ Ÿ¿®¿ÿÌô,íÓ2æÓûÆ£„ãË^÷Çš×Öë•o¦<#ÄMåYýVq/ô{l7©¾M4ïÛës;ÁŸéú¦~¨¶ç4Ž€ß·ñ„xÔêÓ±îÓVþÚyë·ØGŒû6òÓ÷4ýöºÕå„<ü´·çåÂglŸ:æQ)N€¼6ž¡üÓ>åiœ÷‘ª¼ZÌž ¯¨Ä|Fö›¼`üªßuÜës{â»_èû~ö¾LÊ/Š¾„kGŽð ª§q5Å#â]¶^S?Mù}ÊO¦¼=ÄùxßÇžÓ˜>{Ý÷Cò¿å[©ý˜¿ô®Ç ã¨ç†sç:Ùw:^ZïôºÌW—ðݦÊïC~|äïußð»ÖþÂÍ—œøÿ Ì®.yé>Gú×ìô§ù0¿; ùƳÇ|ÁâÙ·å Oß;³ççé:NKJñ³é—¾4ìgüRWý§Ïce=®óoÇŸòsWÉ㪾:ŸdçoÄÏS¾ƒzíéOý™M/Y¯*/ž?g«¿×çö”ÏÞ†ñ ïË{;MN8ŸUþ?Lõû”Ǥxæ;ˆ‹òûÝV?嵡ßÆq(}ï*Åû4®„~ãu˜WÔ2Þ_Mç_æëôO~=Óè{öƧRž8ÅEËoâ/ökó3ç½>×ÿ¥øIxÔÚMÇ#ûê/–gMíWò?ÍÛÿúÏ}½tÜdá>Q½®|9Ícëõ½nå‘^È ŒOÒûiÒ®êûÃ^÷íh>®ú‚sȯ_r¼aªþò¤/qPù¬ŽgèW8?àϧ^š/[œâ[¼ÎfGò¾GÓc¯Žö}ÜÔ/Î{^?÷ןŽïÒÓp+õƒt]kÿh¿ðåŒWúmõŒ?Þ^›]‰ÝZ?úÜ7‹{Eý69u=Šµƒ)Ÿ¸äKý¦oŠ³†sÆ#Ó}*±g=¯1»Î7µ;×%>ÕÒú•øÙÚÓï­hÝiÃ÷c{ yA½žÆl—êeñZ⊯ãñþ¦Ï¥jü¨qdj÷d§)ÿÞBò—µv©þ¢>WHyœèÑôÚëV¿S¾Ÿ3ÄI=·ø+ëP ~/ žÇ©“^éó,³‹”— Î4ùS¾âZ-ÈGR;(íP®ùù4þ¦ø—ò™‡ZðÖä÷–©½)O2»·÷dÿõ¡v{}ÖÿéxÓ¸Wå¾ôiý–øEø\‹Wõ»ô²¸ ûŸ­þC‚üÉæýé{fwiªõá»ì±Ÿ<å‹aœý"·¶î ï´7=÷º½ßú§ÿQ™òã!.|;ÿçú^·ò¨]üœßžÎéyú•uÄúà/µõó¡ôùjúÞ‹üÍÞ3ƒqÖóÇüoSÿ>ç•·L÷ažOý½ÞÏS^gqQù-ñgÀ•sN¿g0<6¼;ü·ßŸûjOã¼ù…Ų£áÿÈŒý üìèÚ)•Çñìa¯úÅq1åõ’4ýÒ}·üàë¸/|®é]ýüulíÃ÷¹¨ô¸þs+/Ž/S»#>A8k賓ïÐzÚ}ãcÆ[ ?l¿r¯z^Xü³® å“d/EÞiú“Þ1_ ýºõ¾W¥öeó˜ò9òÂ/õ½˜4 œ¥qÐ<Ès›#š×NýQì¬õ³×}ýðùŽõ_‹ÍW“'¸Ü䮧Ïë:×÷~€oµþöz¿/ö[õB;·÷tB\ÆþÒy6þÏ/Nûð9'ÅU‰ÏUN“›ÎßC¤ñÐõt߯Û~¾Ø5¶³÷ž(¿¥÷$îÇó0µû:®ú½Ê#Œ7¾>äe±Ñ÷M¦ùOÍÏÓþ¦íl¿c¯Ûv§^Ú_Šâ—ß/}­žð´¦—åõºí“ŠœÓ¿ÍCú¾­ïp¿YùæÔþöz?§ïn‘>4Æ»S0äõW‰ã¬ÅÃ0/ÕùNó ŠCOóò¿aæ÷6/9­~ÈCâø˜ÆEñ7ôS[ˆ/UߪOë7Åg²‹êoñcXïè)øÛê}¹~UÉÇþÍoÃõÖ¸ÎïÑ#ôK¶žÆë%Ÿ<팧YÜ›úwºobö$û#ª§í¦óòпÚu³{{Þ™ÆÃ3á{­žÄŸ8þMç;ܯKq¢ÞŸÖ'Þ0ÕïÔíçµÄ•¦‡á‹àPÓ#ÄkÄYòGñ7—áÞçÿ;Š]ÖbqýÔKçOò…8Oã®ì«6ýR=¸z®§¸mviý‡qƒêÛ:Öv&çÜOí"åoPÿ”ÙüÚ>BŠŸ•çÓ¼\÷¥?*_ÇÑWÛ}ëw?°>=Ÿ{1=_Œ¯Ðóº¨h×ò”Öžx´íoMqÇìÕìÆaó–â9ùùpÿý ä#zÝx+è{ê î·þ7§ÏɇþŸòóx¶ÞßƇp¾h<õz«oý59ã£êeþñ0Ï2?·sÍ{ŒÏXœNñÇð@ž³“|ç^å ¼)¿ ýñÈ»¢úç<Ý× íüÔOõOç_ì„JŒ7´^ï†ýè&/ä“x¸ÿ\KŒ_’Wµz4nz%|ñ_9ëö~œ/ Ϊ}Ó:X3¼7?IßWIãe—ú>‚=ߦõ”qµúé¼ìõÞÿë¼–8^§qæê×ô>¶x}õûçb>"öD%åX?}ùôùúC\¬EŸŸ‹>­]˜?¤q’øGÍKùŽŸú…ñ”é{¥a~¡öû½MÏÐ~ž¶›ÆõGáªቬGÕ»–©¾(ßìÙì.äñ<×8¸×m?ñz¦ïáÑøåPRÞJ× 7ðyÙÔ^q\?÷÷%nÔëçü¥¿î' ùR»Nvfþnï»\õÒß…¼ªéc8'vÑô¶8+ûP¤wŠûMŠ»ôoó#ï)+‡¼’ ʳýñ‡Ï7È®N?ÀÎ}˜¯z¿éý”¿Mù‡ñÈé{·©Þ„ÿ†§{}¬ú%?xµoúMõ4}m\õ;u`7UÏXï½î¯Oí%ïioöÿ4>Úõú=ÝÿÙëó}²;‹WOßÛ›Æy[O‰Ê/eýZ?Ó¼Uð?¶³zÊ{C¡ø$ë}úßë™>2ÿõ\ýe8þ#?µ ZOá‰jäwu|{}”7öŸéóW±Ô»žSœ0¾N¼'}/jˆ›Øoè/u\v®ú‡ñŠÖùÔKñÙp> és·0®PQž/ë§rÄÏ[}òƒ½ÞΩµ·”g žáû“õ¼èm8vÚÉïjq½¯vé{é{œ!N¶qÞ_=÷Óxœ¾”λádêÃ8žÆ å5”¤|Õê™_§<à[Þõ”_[¼"=ÍOŒwØÿ=å›á8SÆú×xB{­¥õcÏ©ŸÆ»jéóðºî´¯lãÛëV~Ó¿|TãÚð}›§ÖÏTNÈ#Sœ®çS;kõè{ùö#¸„íŒ/Óx†8ÐúŸâ¢á¼áGÊ·†ñ7Å£¯ÅÍÊ·HOÂ÷i|hz›¼”§ 翵¯×÷Êô«ò ÷êñê§ögñAö°øaÓ×ìxxTùéøßZ»tŒw[œ:õ§ûƒuëõ0_#}Ûu‹3)¦ïµ¦qhj/†³SOãm×C?ªeü5…ç9C¾Õô¦u¦þëzXžm|4ä c¿µñ¦ñ\üLå±~lÿÆü?åÏÓçlõøôû¹)/Jí9Ý÷JãàCüR{¦ÿÁHõ ×óqÜ$2>dö¼×ûùÔNEnÌwþ´£öé¾HŠ 6Ÿ/½jyÇš|³WÂ-ò;øV/ägµèûâ´®SpµKãÒÃøs®Ûó³t>-.§ûy²îõIq ê]ó™t?'\O×Çü‰ô„øØÆGqÔæ3},ÍëB>€~òïÓ®Äû¦ÿôw{2?ºÎVßì‘êï5“kÿ_Æñ”Çš}\ú?ÌONýá{ñ>ñ©—HÔ‹æ“þ_ú!Ï·õ=õ©Þ^å¶ëÃø󅔧îš]K¼&{6þ‚ú9¨·ì[c•g¥ócü"\Öχl¿>}¾gïí yò©'¸‡òRÿ ãCkOýN‡8YõDý÷5¹ð?R˜ÇÛ¸¯v!ÿŸúÚ¹ñ°t½$¿8íöú¬÷ë~ª7ê#x`%}mºNõº­GÕ§Õ3^nñÁâÓCKù_Õ«Ž¯žñ2öó-ß!œ ç{&WòöÔ.ÏxG¨¾ê»×»^áslììšü¤â éOEãv8Ž)?Oã÷9½_^åã8È^hÓ÷¯ OÄßì<æ)Ã÷Å°Ÿz,ßc9ílüi~MüQøPÓ#Œÿ±}Yž`<-÷i\Ú뽞ð–v~µ—ùjz¦8•ò¿)Ï"ýÀnšœßòÛŠáÿüœöf7'§¼/÷¥?Ô7¿tß'ôÏt|çºÙøÃXO›—4Ž¤Gñƒ£÷4ÿç\4ÎÚžê·ë4¦çSÞ:œOê¯]'~õï _6y¶ã8ÆS*qü®ýX~Æsþt¿DÞç;çaœP^<}êK|°úµÄ|iÈkÇñh¯Ïúк‘]¥¼ÄÖÁìÉx{ú\vÚµ¿Ž{ÝÖ;ç¯û)?¨e¼Î2¿(ôlúˆœ¦W:!Ï´ûcýRüIy¦ðÎÓÿ^Ÿûˆ£íºÅQË+Óý øpÕûñ É³| Úóp~Z¿bïq•âÒTÞŸi>Ægì/åe{}”ãŠüîå]ý×ÿ…1ÿxµC½ìý)ãÉ€ ØßÓxk<ðMqrú^½Ä Äâ…ö¿j4®—9$¯w=`œMŸ0.ëüOy«Ùcù.IÓÇxÕ^÷ú§óKïŸ×óôý1³;ûnO¸^µŒý6¬§òežMO­—úEÊkS\’ø§öeûã„ÿõ:á¢áÍGª;Ýg¯ç{}–OþâüU?|ïòôcó\ý÷¯ÿÜêóã×8¾´C«—òmµ[š×¡~v]ãèâÙô½Þªÿ97¾ óÚôªócÿãbx±×{½ª¿ì"Ÿ•¼­ÕÿÿÌ.m~ÀîŽ<á+ï[?õýD{ï"Äé#OxHüPÊ7í(¼Síü Ç“®;Å_º/"vxúÞ€ã>€íRÜ·x‘ÆáPQüØëVsßâå1uô]ŠÔSþlz ùp*¯é3|fjoTPO˜ßV/õã±6ÿé{C»ˆy]•cßãÚë½Ý¾¯zÚx,Î>}ÏRú«¥Ïì!µ›L¿ëÙ®Ó|îNß_¾o…ã„uHç·Öoíe<W±žÅ¿Tß4þ?­g<Îü‘xÆ^·ýÔvñóŠ?ÆKÒç À÷¦|çÜ7¾Ÿòª)Nß˼äÊÿl=L¿§q´à§ÖKí~ˆwXüé¥ïX¯ºSù¸=íìÜ7þ ÇSoè_í~/™×ª_““úAïÃçਇÅó/ñÙ䑾ˆ;Æ›†vó[OËGÅN[}ãKwT?³çëXÿUž¯7ýmÿ2äÓý0Í/RýS~˜Æ×´ñ3Ëöº—Gv`ÏeBÿoã˜æù©ßHœ>ç—ÝÒwþ‹žÚ_ˆµà¼ŸK¥|6¶£4~…ãoõ÷ºoÿºÞê§ùÆЭ]šG ½ØûF¿ÄWÒùoýÔßO†8†×÷º?ÚûJ”ŸLq9õÇô9AŠ7{½Ë>ÐôÓú^1ŽŸS^&ñ÷´“ç µ¤xIçÖÆ­òûMjw®›ìußÏ·ùAê'i܆xz˜󎔯OíºÉ‡øÓú“¼tš§Õ¢8ó0>×ûçœÞï2> ç¨Ý¿ú%;‘õlòæ™Ê‡¤ýÑÃüÁø³Í·ñ'['²Û½>#å“öÞÇÓx&ã=×_ãˆ×y×DÿÇñŸx"ñ©0><µ÷&gʇR¿ ç¿–ô9É‹íë!ž«˜ÿß±ñ\ýÙú|kÇǸœâ\¸.¨Åß”çPÜ2= ŸSo¯wyòüõœ>Q»—ÒüDì‡äÆó'z´ë—œðÿ&kãE_R¿²ñƒÞ­Ÿ‡ó<åÙ±2/çüêw¯{¹µýÿþ\Où[òXÊÒ÷ØŽ¼ý®¿âÌÏ7RÞ™gIŸ¶?”Æñ§<%)ÿKã áHøžèiGy¿ØM«ŸŽÓÆkúÖþ÷zoO~Së oŽã¼ÏUõïÛZ>”ÚÝп4þ>õï!Ÿ«úœó)/Líò^Ø¿kúLÇ+ëw®‰·Vâ8Z¯Ë÷tTžðÃzÞyÙÏ?GÛG¢÷í}‘ÿ÷º¯î5yCÿý5¿zÚÉ¡õ¢úð»[•›žÛ‘ÚÓþ—õ·×íý3žPïZÿœWù©OùIÙyÈŸÆóøßuLíçiœú›áfå){er)ï°¸zÉ7^#|ŒúÛ…ù¥½çÚW-Ønø¼¡åûM©ýT=Ïùô=Í2¯µŸ1.?Ô_yR]ç½>êùT/õð=ë§É·ïNñ©Úë^Ÿë˸҂ï­üÿq£¶C}ú]Çñûõ‹óÀÇb$ñõ¦v¢g“cø>}ß@Ö­õòªßúñ¤]¯ùÙ÷…+€›§^šŸ|É;\Ùgó8Y·4ÞR»sÝòZ÷”¯Ê{OÊ“„wU¹Mýð^YC|Áq¥ónx5Í R~1å fSœ:ŽéºLýaz¯Ïק8ò— ‡òGÒí4|®§×å}ªoqÛî…y­GëWxeºžªwÚð˜zžÚYÓ‹pï¡=“içÂóŸò&o¯Ï÷CMyiì¿ÆË¿ßÎc*×ÆêòÓ÷á}ã´Ý©÷t©‡<²éŸúÅ“¯§¼<Œ¨GÊcˆg¥q7}Ï'äM1.T=÷z»~ê§ëÆ„?µ~lQý½Þ®×þÎùÐ^¦üYåÉüÄz¥¸óô½ÎÿdŸÉükü»ÓôùÜ/áñUROí#Æaë'³æ?Ã<¨µ»áü+Ÿ¢ýŸ½>Ë¥y˜òˆ!/˜Ò¯Éß+Ó#|^ŽrÈÃü‰ö=k»qÿẢ=†ß#>zÕs³Ÿ]äñ#ŽÆ# _R^úMm‡ý>=Òû!Ÿ¨Å챎'僧Ý^÷õ ‡Ï•¨h\ ñX\?W=Œ/¥qLì©õoÏåÒ<$Ä'ìwÊç¦ë,üéÔœjrS;OyqŠÏ©¿ ßhý’œ½nÇ£ógöð’ÛâŽý¾>åÆó¢g­ßô°vC¿T?œò7‘”‡Öû{ÝË›ú£Øa=Oy1Ž/Ä×s>}þ±×û1å àgÈ¿*.\õÛsá‡Eÿ&×øGý_%‰—Š+–G?å—À[š~Tß~ǘÚCé7æÑÃcÓËð•Þï œ·<¥îŸ<åÇi;ú>oê¿T/ßÓúS¾dï+¥üÎÖâvú¼øs«÷-Þ[¿g°_ò÷Ô~å}ØZÌoµ>}G7ŒóÔÿ¹Oóiù«áÑ´]ê—´Žòá©—âsª_è'­ÿÔOš\Û÷Ky¦àbë×p~º>‚7ا Žk˜Å»ô½Ã4¿Ùëý~O“—¾÷a¼)WŒïä·Oã±ñœ/ý¦õGù‚ì759‚7TtÈ.R^ô-_ ãrŒ[UtÀâÇ”/Úþ)á,Ü¿ŠÙÛ9ŸŽó:ÖïWÐx¾·6ÆÂÁ4î ùÐSÞú‡ù«õj1¿ûc•Gß‹ùMOêo¯ûþS\•¼eÌR3þaqÏÖ'}(³ÓñÁ8TÿÐŽãøA¸ã<òÂ÷,R{A=S<³¸%8Óô3œž¾RãŸá®Åëiœ ëùé{–S^rxΚ鹥~=Òï‘ë8kÿoy)?¶u}ú|­ÖÛë£~ˆ§¯vêµ^ÍÓbž³ÞÏ/¹»\§¼S~'•és˜Ö~Ê3§|ðÒòLÃa‹KaÜ>×÷ºí_ý-å¥U~jï)®_òS¾ò›s¾÷Òô&9©}YžEõèú^Ÿå˜ÞW{³ÓËÖÃÞG$Ü í+Î?Òø—Ÿ¾ÿâµk×Ãuhr…§ú¬¿þsßïÇdZÿä‚ÿÔ/ɯ…x>êA~oø:µÓÔîS¿%Ü »Oí1Œ‹­ß©„ùS:¯U¿ñºHœ¯òëøê9ñ[ª‡ñäãyºŸ5ÅUÃgãa¶¾7HÞ¹¾×ÇqzS¹OãÝéÙú'¼ í1å¡jÏé~Ýké|›}ŸöåýÆq¼ ý/y”ßš‡ö¤çd'§¦þwá;áM™×VÿË<íÈ«÷/žbã¢yÙëþzÊó¬ÞÅ[?†„¯ÄcHÙg8r Glÿm¯{ùi¼·#ê5=Óu¼ÔçÌÄ+¯öôݘÐÏš>f¯ßúAçˆ|‰·±}Ÿ ¿S}ô7ù‚ÛMŽÄƒZ¿µ7?2~`<í)>N×wúÜAÞËõM÷1ižhÖå´«zÿÇ£}bÇKÿðù>•ØnS¿ú·Æ¸b~IëøTO¯pßÓä¶þ¯ ¨ee‘׈µ~‰§ZûoßÏ!\6œ’ï5#2¿2^)~õh}§ÿ—:–ÿšŸ¦8+ûæçú^ï÷)Ï#}Âÿ+®ã/ñˆ×}loÏ'‹|ÓƒîSÑûÆCÂø‡úÛó¤ŸÒç7Âû°ù±ÅEØǨåk>eøBxlþº×gyuþ‰?ç­Õ½[½)›ò©i³ÿ¹–ùoõM/àMUN“[ÛÃÿܧ|¨ÕOqBÆßÚ‘þ‚GN‰ë¨Ÿñ6³Ã%ÓOÞ§ˆõ˜¶>Øô å×ó̽>ë%vÓäHœÄuú¯û~)^7¹6/9­~ŠW²^Gnºæ/UÿÔO[{ÂÇ_›[Ûµ8æ;ÍN„>ŽcS¼LyR̓¤]-Š›„ðåÈó†ÚŽ®«¿Y¾A|6å{eí_õÆønöLùohç­ÿ©_…Ïiœµh|‘ù@y×Â~ÎýŠs{ݶoòê¼Öÿ…6»0~sä®û~SÞú¶S;{?ýz‡Ó÷6Ï}ÑŸêÕ’>°ynýÁï Zÿ_â„Ö£ñ˜Ý=ÅKy?åÈKù»ØkÓOønÊÓc;OñLæAÛ…ï%9i ùŠÙGëwê·öÞcŠ'¦ßÔÈ®é8÷¹Ÿâä^ŸÛÑw‡ÿ%;°~-ÎíõÇ]Iãã©öÞÆc8æ#1M×ÇøÖ^÷íÍ^ûýá×Ø_ÕßxÈUÿ:‚Ý´u–ïó¦þ]Ë·¥¿&?ÕcºÞ¶ÿÆAì_ö‹Ûõ!®¶ööžÉÝëVoŒïæïS=Ò÷„ÌÏÈÌþ¯ñMÇzúÖžúýv¿hú¾ØU«_åB¼£~êõsnþ¶×ûyÊ÷ÄÈþêuùåcÆW¨Wª^MχñQyžázø>£êó„õ¾Å²ã½îû5{3úkk—Ɖ¡´þHâŸÓç²S¿°u q¹Ž¯õoó¾?¯cŠK–oÐ>„ù«I^š¿X¿µLù•˜¿¥ñl¯z¤Ï7>CÜÇvÆ?IïÔlŸâ{ígª‡ÌËé_xÕ‹ã¦ÄÛÖÞôÜëí<ÖÏò‰ásÈÚ¯CùÙ¹ù™Å÷/ý?æU©?î=Ü'VÞeë!ñÇòµ7_íOãqšoм‘×ö{eýÓºOãáC>6W¸•â›ö'<¦ê¯óòˆÚù[kâGÌûj;{ø¬ð\í7ä/GN¸h¸ˆz¥¼ü³ÆÅ”×ÏŠùC­gÏÝj{{o3äù¤êYçÍöÃê¼]íd±›w³¯ô½Èaü¿¿_æ±Þ?çS=R>Góbñ´^ˆs)Ÿz!ÏÓøvpvýqW'¾·Ê£uI÷/hþê{¢¤ú\ßâCÊË(ÏßË©×Ózãu Ÿ+Æv2ÅiÃû§þ)¼qêǨïSþgñ#Å °3ªWûoõm~÷z¯—ÆÃoqÉø ù[oIÔ7Äq’‹¼¤Œ³õ/ø_ëµvC<ÓzÆ# wÒçƒGÈO÷z¿ñ¿µ£8lïe¼úkr¯ëåþãù4ûš®è?Æeë_Æ]ËÔZûԎȯÒ}aêçj>Çžêê…yÊ ã<ÚÉSž 8z®_ý}Ë[ÁNH/Å—§üÑÖs¯ûúôŒ¤ß—ûgéýZïœïõÞ^på?Kíô[ûòݬÖîúß Û{8NwmoeoÇúBþ×ôyÿc\¸ÚÉ>´3ÊoŸÎ—ůki¼ÆC¯W¿¤»Nû.‚7TRþ¡ú‘¿<å+{Ý_'¼}Õ׸tÕ{8.‹­ù=ÄjŸêCñ ß3¤úf7ÆkÈ?R¿q‹ô¢ñļ;äíµ_µ Ëô=»aœOãÝx>Îâ}wãþiþÓ¼9åûé{×6Ã÷æðºåeµ¾ü¹Î?/}nþPëŸsËS)NÒs›½nõ¯ýÙøâ÷žò”áû»Gÿ”WLíf˜·~[ÆãšÅéß^³ë‡ùA]·#/ÄáZŸô9×÷ºïÇæŸü#}^bë“ÆWË/¨{¾:ô*ÿmqü§õ›òÉc¾÷­ßéÿ¤þÆÙ8’îõy|)Î ýƒúk×w íBÿwNüè´“}“õÍÞÂ8ÚÚŸñÿ¼Ë#|¶÷'¦qÈpÊü$œ‡ÇøKã†xpäI^dq¶Õ³ç]w~îõ·~%~Ú¾ú)ábÁ›Ç¼1\÷ªoŒ¿ùkëoŠã¤ÿô½>ã‘©¿¦q…æ{¯÷ö†ó·¨ŸŸè¼>÷“y¨z5}êQþ· Ûß3|K×Óø¢ôsÎEs=݇ õú#{­õ¾¿Öä›Ü½Þå–ýÐSßâUÊßƥº¾õùdÇÔëx^òN)šŸSœ69©þf/¯q¥|èè™Æ»ô}ãE¶þ6?{ÝÊozŠžúEéÑî‹Ò‹ä༿äšý˜<‹VÇÛýP¾ÆÂêg{ÝÊ9÷Ó|ä¤v[ûk×ÉNSžò*’®‡ü]q4å]¶/hq#ÅÍ”? ߢëcñAq8]‡ò}ŽÔNjA¿¢yÙë½?i§Ï{Åî«Üæ¯b§­½Å+‹—S>mëbq3åc%>šž§y_ÃJŠKéóÅãcÿk¤Õ«×ÏyºnOñËðó)Žš]†¸Ý®×|3ÍC çÈOŸÚ—Hþðý¢jq^ò[|ΞçùLÊsš~°ßÑú%â1Ú5ñSˆKTâ¸ùÏi÷zÓ/¶ïaÿÖ.ÆáûÈ#Â84Æ/Á›ÚêýÇñOðAõ ~I¸:ÝgªýÐ÷S<&^lýoþÉiý§ñÞpÆpdj_4ÿô\$—ýÞ¾éo¼žÕ2ËÔžüJû±øB~BýØs˜½>Ë}ˆ«µžñx‰&§êQÿ¯Øü¯{ùÓçŠdŸ)¯JßGû‡4ÞZ<›òÛpŸõHyTˆíút?Ýê¯6¿®íÓï‡Ø|¦ù½_jvaûlÄŸÒq…ñMå‡vÜê‡üXûKí_â~-1_{nýŽ„ñ@ýRø¯ÆÕ4†v|äïu[¿êÙô"ùa¾Ðä½VýÚ]Ü.ÝŸOãÄK*ŠÃâ÷ç¼àl•_Û=þŸx¨ÉOùX§¤¿sN8ñ'õ‡˜§Ly®ÍWšGO³÷ÑÌŽ‰/ÔsxN˜Úó_h§þÔ/S¾h<âLúœÞöo§ùÎ^Ÿõµqûþ„áp7é{]Oq!ågÆSÄ~›á9µÄüÃð9Ä÷sž¾—|½ÃÞ«#;{ˆŸ±] ùkë?­êÑ®Ë:×úçÜòœZÿ%/æ-ò?€µ(¾„ïßyásùÖÎðÖp8}/%ô›T¿qü ñæi<;õ‡ík=;Ì7įS>Ðô!^"ëÚä¤~?Ë{Ý·OŸc¤ë®'òêa«ý*OšÆCàí~ÈïLíwÊŸÂ8¨G³ÿp¿=Þ7yú|JìÁÎÇþfqIô¤þ[û/ýüÿÔƒ8Wå¾±]§ôž]Ê·Ó÷Ó÷/ÉÓï2§ñ ÆqäÔþ(®<ô{ӿ穽=GÃxe~yô›ÊµñNùHŠc¿W¦ó©í§ñâs«—ú“ñ“ÔÏbž~8³©Ä~jv@øî‹×Bý¶û6¯W{Ýê{êOç9}Ÿ÷·Ö×æxI¼/9ì÷ÜŸÚàö;åñ{Ýëqíà ßCIy@ºŽUo<Oi<{Erў꼘ÿ™Ÿ¤çéóë4_HŸ×¥x8¶3\­vœâÅÙЫ޵Ä<€ú3ܪçõwÔÓ¸ÆÃñ>6Ø“kë5Ý/¼oý§qÝðÚüŠÖ9ÄG‹Cµ~k/ó]û7=±~*oúœNpŽÞiòJþ×ú ×ôEýhþ÷º­_˘'U}B{£þð¾ø ÆÑÔ^,®§<ÀøL¸eçÓu¡û´~ç¾ïaúLýxÌ÷¦Ïmh½ìýݽ>÷®·ê—ú¿Åiã7¦ð´£½?=åaÄ%T9ç|ˆ#çº='°÷CRü ß»Â<ýÄŸ¬˜?zOíÖ¹õoï‡o<;ç4Ò«?ÄýÖÄ›*/î×æ9Å‘é÷¾ŒwLõ ãù8ïé‡q¤à¾öK¿C‚ùjý¤x?\§8> 󲦺¾öžíÃùzŠS4/§¿ôùñ—óœ~ å‡ýŸq¥|!|ï-þ¿Ëà P=Ý0ž vÙî?TýÃþR\krÈNªü½ÞÛ¯ùØ¿áÇáÙ?oýƸWøêÆKô'‹ëò{è˜ï’ÿ˜ý×ÿWýIù©Ø_Õ'¿íú0ÎÕûTRžð[vÝøÁt~-.†üoºNOyÊ·<Оç<Ì+Œ4=Ó÷Sjõ†yÎØÃù¬ýá¹ÄÁZÚ‘þµßXŸ:Oò=ü¦/ðKÅ’—ê¿×}`MßÔÿ‡ÏAwÇóÚ³ò%Xw*±ýïõΧ¸òã8Ξ ÞÆG„×ÒùoÕû6þX‰÷!).„ëÝúµu±÷Í¿Ó8Oó·WÖOÊsBsäÛ~wÑï´ò6]à#í~ˆµ¨þ–_Ž í1æ%Ô8ïªø]«'úÔ~tŸò¸ï‰ßñ†ä·údt¤ÿ%µ÷‰êxÂçU¨oš_¤ã³ùÝëc»S/åW¶îò\å/OySz¤ù¿¥~ÓzcýÓ÷Xªå}¤ÖOŠ {½ëÆ»æwC<«¿wþÒîŽÕyÚkÔNý>ŒŸ8Žt¾Å®ã8âêOãóÿV?Ô¯âtÓKæõ\'¹yóx½Òølv)ñƒJŠ›±¤ñ‡x:Ìé‹rSü³ë¶þéºÔó½îõOq’x­äƒMÎÃ÷ñ~ø\Gß'Iã_ÊÇ_ýÔzTŸê¥zZûv¿ŽS¾¿Õ®§ïW…¸ßäïõYZÆ¿⦎ü)ä1ßKÇuñº½>ËIÇIö9ä§Þôý©p}›Àûô}½”?Õë{}ìÇi~Xô¾å4I|G¹‚çÖò˜©üpù´{ø>B«'~ßê 绵—÷lÏy˜a/'šÞäÇr¤~cždv%q¯ÃðŠð Äe‹;T¦xtÚ…xKý49²®§>­GÊ›†¼¼µOù¥åŸiá>cmWû=ç²Þ­ÿ)OHã¯ø•é>K*§Ý·ù0ÿ“õ";©ýU}c½d^S?8õ×NñV좶«eÌ»‰·¥~âAgÎ}šÿÊ+ÉN¦¼p©Ö§óÖ¿¬wÓ3}Gð©é‘>ŸÚë^ëúT¯ÔÞH®í; û;rëý—üZb¶¸nï}…ÏåšÜ—ÞhׯûíúÃc•Óô1÷IšÜ!Žñ¬Æƒ½>×Ú_Ó/åé_æSž„<ú:—ýû)ëIyÖK¿¦—¬•§ë‹ý§ï=Ëz’žç|¯ïôLó5ÂeÉkÐ.@ŽúÏC<>çÓ÷} Œ„|Û_ |\æ§ÉûÇžò¼/yŽ#ÌZû½îÛ…yŠòÆ'©*m|”gOó•Ôo*NSû½Þë[>ä#MηïÏÛúÔûðžÖOí_ìà×øRªWúÞR|‰ù^úžLz4ÿHãXúü8ÅyãÙ _§ëg¸g¼Ðüq¯H¯v}jO!.PÿXoº·e©(O4KùšíóB\ÅùyªgµŸiþmÏÃxÞÚ‡ïMãuÓj¿ö<ÃpОcÔùÜë¾>ñq³'ãE×õ¿ÿüØþÔúáÊ‘kqj¯gý O}ŒÇ¡ÿÛyW¦ñWp‹®§ò[2­¿Ð§úa?Ÿ[;À%”Þÿ–ß+¿ç'?Þ§øfxF|îU¯õ>‡ûShT4.K\#9Uoì×ÖGöÝÎù^Qª—ÙSú{™§z®øb8Jqu¯û놴žö¿vOõ­ú…zž~Ã÷Ó[ÿ{ÝŸƒ?Çñ4ÄÁª=·}ÉvýaÜkíë:}Éû ±Þa~ÕúIó–WëuÒ/í—Ê©—¾—¸×û9ùk©Wï7ùd'ö¼ò¯Zô=ƒ0ßB½¯þ§¸3ÍCÒ÷_Íþ‡¼­¶krl^ÓßÔú{½Ë>giz5ùô}ã”ï×Ay ÙWݧ“÷¼¦|”ôUýLï½nõ¾‡uîÓ<È{>Æ¿ãßíS¾â^ÕŸÊ”·“¾Sy)®¥rš~ÓçJS<™ÚóÓýð_äûý~ì_„k6Óz_m¿(_ÚÃé?´G*(/|?ã\7•Æ³t¿Wò+[ÏÔÏT>­×^£þZ?Óú)¯Jí“ÆñÐߎ¾ÓýüPßÓNä’|¼Æl'ñǾ/ÑúMóª0~R}“S<»2ùí¾Ìëø9‰áÉÛë^Ï)>Yü®vSí¬êúaÓ›æ·|Gû´KçÝð›Ö³~¿ÛÖÏxTÚ~÷ºïGp®–éóÇÇx×Ï}áñ{°S;·8cþ9Ÿiü1{ž¾¿òð£GíßüÃæûÛqZ®CgÊ?ßj=SWe¾õû0¾Ó±–4Îb;‹ÿ)_5|³8bý?Í3IÎÃ÷2U.ø1ËúWýú_“;ý€áü”¯†ø„z¥|Çö!¿õ÷^·ò¨Õkê÷áú>mi\¯õ«Ý…ÏUª^õ¾â¸/ÅÔg”y!}kA<žFí _¨ý×x8ĉ¶®{½Ÿ‡ñ®«^Çãù ù€ö#¼ÝúŸÚ·[þ…óøô9bʃ,þ¥q?Å?ã;Óç‹y[ªç¹^¿[°×çú6?¤ø\ËŠæ{ÄÓ8Uϯú‚çüÌëÏmµÞ9R‹Æ»Úýž4Í;ÂøÛ®oè×ìò!Ÿ¢rÚ×ÿÉ;5¹¿Å³ÆÙA·è:Ù éEí¨Ÿ)oŠó$»¿×½>_$®×¢¸0åå!þbûÐLŸs¾×G}ÆòR°Ä“ñü {ÌÛÍ_ÒûS~gq4=Ú<Ÿjõöº—Gãœ:íÓ<Îâ½ù±á ùíp}H/*çÆÏÏ,Ÿ Ç]õKù'òãS;$; ã[ú~‹ê?Å4þ¥ñ«Îs‡ÊGm?t¯ÏçÓùâ;ëŒ/Åéz^Ç¿³Jñ9>Ê›e½-Þ×vØô—¶«õkI×éÔñû;üfÝ÷ŸâÅ·ü@ì¡^oãH÷!Ì^ÄþN»¡þ÷§x—â‰ÙkÊ#§ó‘Æ'ã´ž´Þ´ŽÃç©çž¿O‹ÆÉôýé¢GÌKl]Â÷ÍÞ[;Ê¿S¾2å©}ÃóÏÓNx*­Ç©Ÿ¾RÚÇñŸô«ò„'´öf§4®«ß笟§|îåGµŒù²=¼±þÎýaœlí(^/´|$̧°Ùqˆ3õñc¯¨’_ÇA…Þ¢öÈ+ÄÚu›wðæ_8ß(_Æ­Ïó‡|xÌ{-ù(ÉMùåSž\û=穼0>ŽùYˆëµ¨ý¤ûÛ`g§Þ”'Ûø)ïµvCÕyÞëþ:Ùí'X¾øÔžl\ß[hzNÇ›ò§í÷´?Á¹ÖÞxT˜ÿiûa\ˆí2}m¸<ä³:ï{Ý^oúùP½~Î ï@µ¿W;ÕÇö %oÃvµÿ!oIqÄì‡ú#½ÎõÐN[ý”>õýˆ½>êÛ·Ø+ʵµGû0¼ ç›ôAyéw™l½ŒoNãQR^˜ŽÓÖÇæüÜô®rè|\oȇÏý4>¦ó»×ûy¿Â<Äøâ4ŽŸûUïëÆYõ¡óÚ¿]Oã ¶Ú¯ÉU^*~ÜäÑz§¼Ëø—Å'Ós÷º¿NvnÏyh_ ΫœZâx+|¯ñÉ)þ¦ñOÖƒ®oíÌžR|ÿW{iœÃ÷¼Ôßiþá½¢#g¯w}$¾µþ‡ïѨٸRò‹6®ÔŽL߇x©¸k~ ¸vê½Î•·R¿öž-á³èÛä¤qŠþ·èÛ<']ϽÞë ÷)j±}æZŠÆéÿœË:ÓuÌw‡íŸægi|5¼ÃváúÄvN¼a—¿[}Z/Ó3¿é~ŒÙS—q|à'Tžâ=ÝGùf'!Ž§ïá)ÿ6Üëc?µ]ÓÛ¾·”ò…ô}B÷k íHyªÅ½ÔÿÌRœ^QÏñ¹_jßæ7×uûNwiò<]“—ñŸæŸô2^lüò®ý~âQ=Ê'âç¨éûeSü ùê%xRKêcܦ¸^üûÝë³×}šWà{µ¿s^å¥øòHËCƼxˆítχÏÃk±ý“SoŠûáû q<¶õºöÃS¾Qõ•÷‹Û¸ÚM-1Ú÷ú59âwçºÌs«gï_§xþt_qúþÐÔÞ§ïW¤<ð’Jü»}±ÓV¯ÈE\íÈìÛðë¥ûG)^†q:}ŸÚE““Æ÷ЮSœ9òþþ3«oû–{ýqWb¿´x=µ3yÞaz69„G¢õãbºî{Ýê•âVÕó±Ý¥|ùÒwÊß$Ï!?¢ÒÆUõ²u&üß›Äü0ä¥8ÁÕ6žpܵà{©ÜŸ‘ã÷FjœkyÑŠôIqCãùÍô¹Í—cÏŒßÚ¾…í3§qüZ§½¾ßß`½Z{ãÃ|´Âzÿœ›ý¥yÌ^÷rÓç›Ó¼ÒðâsÓïa~fýØøjQ?º®Û{)0¾‘æWéþUçÌþ ÏË>tOÃÕO鎧Ïé‡øyúßëó}Á&ßÞ í”æ“ÊØÎm}ïâól_uj¡«é~¯Éí ò›vßæ=Ýß™òŒ)O yM«oúL÷%§ã5~l¸Î÷¹_ùÕ·ïUß ÜØëþºáZŠÃi^7|.€ú¦ý?¡õ¥þ…—žëfÓçN6NóƒßâQ2/Æ;­]³÷0=ç)o~šyJÕ3¶ói~e~ò“sÜëþzÊWÃ}‹ZŸäa?2ϵúïoâï7=}îêuÎ O$~Mõ¯õQÎp¼í~:Oµ¿½î¯yNº.笵§ý'›ðù´ÚwÊëBþ×7¾ð_bÿ×qúýÈ”÷ѱäÓÔõÞëãýsü”ø¥ÕOyVˆ)¯ªíó«p]›>{}î×ìž·~÷¯vC?DýDN“›> ¾úÇrŒG¤¼*ÅOâ“i\O÷ã§ã'}ê{¤éº¦ø˜ò¹ƒoëýºÌk­Gz¢œ”'§×¡?à®ámÿšÞ„wö~Kø¿ríþS~D|ÀpÜæUô¥ví~,NÔã^·zª_ç…ÆÑôNýÝö)§Ï§R\OãƒÅõ!®žñÉþj-f÷çüºÉ3ÜNãf:Oáº4=§òÂ8ûÍ;ñ®aünòh_*×SÞõ[þCqÅþ_%ä_GoÛœæ'äŸå»Â¨ÇÐÿIß4^OËÔïT¿ô=¿pý¦ëÇÅÔ/Âz­>ôÓêMŸÇP¼Nñ¯ðcµ+ºNߧI×üÿÔ/xw®§q”ô7yÆ{ìûö[U¯½îÏÓñ~ ydÌ3¾Í;Ò8QæóÈ“¼õ7 ykì_‚7G~:éz OIy{ê_ØÏ·<Þ/Lýžæaºß>ÅGkŸÚàT-S¾ÕÚ[ü›¾·bþ“Ö¯Gà[)8÷§ïɦ<¡â¾ì·6}-þȹÉm׉·AʾG¬Ï”|¿C–òÄ6N²×ôyDÈ [ýÚÿ«_Ô3ăÚêa<ºæ¥fïCœ=í ÷Ìöú¬à,•¯yhÑ+­/|Üæç´KãÀÃýÚ_Ó3å‘S”ñ4= _È^C\=çÆߌ_¥yÄð=LÃËV_ô@}Cžz®ŸßÆvž¾çeþ0}_k¯?îŠÉ#}¯Â8¥8>ÅA³oY‡¦Wp<õH~üt\C½›¾ÓuœòÃÉa\Pþ(íl¾T.éa÷÷º—o8/÷Ž«wˆºµ=ý?d'm}$.)oLñ.|ÞUËc>hãŸÎ—­—ðà˜ŸÊþTüÞ£íC/Jý®¼Ÿuú›ú3áðLkOõkÁ~-Ž†ñ\×ËøÁ”Ϥö6ô§¦O¨ë×ðç·â¡ð3êú­õ›^ä¯á H¿sžŸ’LýÑò²Pß)_À¸QßϙƟ§ü°ô—ò¼v?ŒcÞ3}_u÷âøZím¯Ïã˜æY²žMÃ…”çX|Úëó¸Âõ¬%ÅQj‡¼Wæ£õ“òª!ª¾ò>Ò˜W¤qÉx>ÙKúžÄ%äãÂ_¬=Õ7y纼¯YÛk?ás‹S¯÷v©½J|™Å“¢'¶Kí;ôÔ7}?Sì¿Ãp£öKßÃNùÞ—ö§~'q$–3ä·úþ›­Cú¼¶à×¹?̳Q”OP?{Ýö[åœói¾*zj?E?ңʉãUˆÓ©Ý‘~Ç$~4¹)Ϫ¿s¶yKyi8ŽXï”/Ðxë8e} ïÓýösNÏ¥ÃxbýÄy¡ùY—Ñé÷©‚ïêCßäK¼šÚC»Oyqˆß&¿é›æiÆߌ§ŸxšŸ?¡~¦ûþ¤—^'|&;Eã û¤×4ûÆ“À~›{½·7\2?^På`¿)Ï ý.~o”êÓÿ›ŠU}Ï9áËSœºŽö=¬4Nn§ÏßÌ~CžZû§ó&×ì᡾©>ã|m¯ûë© çÑìTñ.—ÓøZëU~·×­Ü´õá릻?åí„'Ãq=R»LyzŠÇás«§G*8o×ù^ïõ ÇÒ8®SëwÈã8=]gÀ}*·Îu‰(‡x"¬[kOòC}ƸûÔ~ O¬¿Ð­Äü1Œ“)^¨иäÿìTŸ‡ùsO)Mç)Ý?²qìuÛ>æ}¡?·ö©Ý_úQ¾ú¡<ã)þ¤ñ±êså¶0‘CúŸëæçC¾¬qkš¿§ß#Jù]=îõ¹=ÉÚÎÖ9å!Wÿ)Ÿ0>dÏQe\§ÿ”/]ú—q¤~¬ýY}›ÇZIãu­ú~ËO¤Ý˜¯’œ ïöú¨O½ë=Ä­ZÒçq?yYW¦ù%ų7ˆTžò\”GÏo-nÑ:Ñ÷>ŸòÏÔoR¾3lçÓ!Ï¡¢÷‰÷…ñï‡ï§(ß ãÉkýMùŒ¯Éµ÷U¦ã2>VãHÈï¬^OŠßµX\¦¢öuÉÙë^¯”?~{Ýxx¸¾c>(xŽú_r¥•—Ê|S}§ûn¡}ÆyÚÐo§¸Ü䙿SÜ >.vzú±qÒsÚOšÿ^…¼+Ž'iܦù1½í=5™÷s.<…ônzÚ8 ×öº½Ný«Ÿ¥ë&¼Çñ´žáTèWxNã¥ï"ü’]›Ý4½öKÚ÷ªvS¿ŸÆ×”¯¥ç'%?Qû"¾”òÂ9³+z_ã©Oq´ÚGýÎü^õÂ~à»}§ÞÃ}-ÒcŠ+*ü!–Oóló'ïã¡~–o†<ÌâMÕ“Öe¬?)oÝë]þu^ì¯öW‹ájœÏÑøh¿ÇòËðyÄiŸêi¸¶×mý¦'ÙÛ·ñ<ÝGyéiys-ïi¾¬}eýP_‰ç¼~ßxð#ÔGðÌx é¯ýÁ÷([;â?ÅÎNý½>ê­~i8vôÿ¹WøÒch_µÝ97œ0Þ7åÍòÞi=W=Ò¸òÍXŸ/¯QîÐŽ¬Ø¸ZýRW>E¸êmëd%æGéó„>ÅÇs}¯{ùægf_¶ÞCüÇ»0îŽí+ăi<2ÿnõmüöÞJ:ÏéQæKÇúÆ¡_ïjòSœ|oråý¥sâDh×í~j×õÍÒ¸5Ý—ØëVnÕ»éAyâ”\ûNŸ~’ÆxÝ`MOÃ+ZOøýg•ÿø|¯[¹µ¿i¿õzj_ôÜ¡éKïÓØ÷e éw7dW4¾—R§x=ÄÍ8®‚ßžsù¾©áiŒGßm¼)¿¹ÆSÆïïîu_Oæók{¿mý…ùÃcžº×{?C>£þiyµÙGˆ¿µP­õ³×mM~/B¾Rå7=ÿ†óã|ø»Fû¿UƳCš×ªÇS¼%ýR¾ïÓÆgüç©Ÿ„y‘Žë:VþfxIëJë7ÂǸhýÃ8ÎyˆiÑø”âÝ^÷z¥x.önEý êgñUxÖ©/Ï%›Ü©¿Óñï?³þÌn'O½§¸$¼©ÊÇ÷šöú,ð¹ÉyÆi'¸}ê]ý’]¤<íºO¿¶8L<£þ_áÌGkŸòîEéßäLy$Ù/ä5¤÷¹Ïk4O0Þ?wÁÏØ­^˜ŸP‰ùÜÓñžÕsÚGHã¤ð#õ}š‡~¡|ÏâÙWÝO”çéø ÅÍWý§ùN[7™¯ÖÎâŒàb•×äK\Aùás§ZŸôŒã’ðIã ±?˜¿‡x×ôªþ4Ä“ñ>åÃçLµ?ì?ĵs}¯õ ŸIÏzy¦ØÕ˜÷†¸ÖôKç9Å{áQµ:oò~)Îk?f¯'j?ÈWR¾-ñ­öGEq7䭽冓f·w%Þµ~,ÞÉþ •´¾ùO­÷­<Ís…ÿ<÷ç©]ÕŸÆçø3æµµ>ñUÒSxЩ·×ûyÊ#„_Õ¢~—ò¶gÛócíOô:ò¦zS=ñG’“úÕðý¥*‡JŒû6/2.²k•|%CiÕq„öÑä§|àé¼Ë{½u<¨­Ó%¯79S| ‚ûö<Ðò­4uF}+Þ‡|¦ê×ô}Ê+-¯ u²Äü°ú1ýï<½'aüˆì)}/$ô‡Ó>̓†ë¯ƒáMŠ)Ôã^·íšÃqo<ò^ýZIùçÔþ[?´ž"·µÆ”#þ®õm<_î MŸµû)?7¿ óŒÚOmÎÓ}K±ÃÚß8>ˆ¿¤ö×î§|/üÿSêßÖŸJ:ßSÜAüK÷g÷ú(¿#Í×Ò¼179b;ówÁ!Ô‹Ö¡¾]ß'œiv±×G}Rœšâà‘âKúü¹µKýÖpÆiz×ûS}Ï}Ûç ßK˜±ÿ”{]Ÿõž7ù©aÜPÞ‘ÎÛ0_¨íÎù^ïr®óÔÿj|¯zyçúp~­]<~yDýëÇ$Oçu¯ûûÆ]Ô3ä]ñøB½Ž¼Pï§þšòýsö[I~Ç9ßëöþø½\Û ß‹ŠóÃQy/¹^'=Zû§¼)å…ÃvSùØÌok÷4Ž>—ƧÖï^÷÷é=د5=Ò¸mvcø^or ?öºoGûoÕÿ_í gñ|š×Ú8Ã}]ã7t]Ÿ‹¿‘}`¡]"ç/­~ÿ†ëóˆ”.íu_¯îGLyÄ‘4¯9×Óçû!|êWèï)L÷)ÞÚïÙ ÓøœÆÇý®OÓ7Å3à­ž=ÿ²xñ”¿V¿˜ö?Å/Ó žóZ¿–WÔöMÏ)Éü`½¡þMÞðy×¹ÖW£õ ýŸŠÙQÓÛøç^÷×Ãñú)^LçËpÎpÓø ½gâM§¼‹ýLq¼Ž³îïŠ]£^)^™=É8IŽáÄigx.qùœ‡ïÇÖsÓõýÏ»=_*ÿ¥|‹ögëûvOù¬ð¿©¼¦ÿð}Â4.·~ˆ7š~)oz:žð~Ó«­÷O¤ÓËðOúoòR~(yB•KýÇõ…¿´úÆã¦þañ¯úm¸.¿å'mœ´náºVyTÒ<õ ùLkŸò\:ß+f¿]‘^§Ÿ/ǃr(Þž¥ï…^Züxj¯&'}ÏÅxï^ŸÇgø;Äk¯ã®ßaKǽWÖ¯äxNó <ÛÑz^ò×Q/ú}ÿóê§ò±ëº½ŸUêëu^d½š^ÃãiOráEþ}êçv§é)¿ƒ¨ýTyã€ðÖÚ/¾‡cïãKÕóœïz?j?éû"×íý£i¾°×½ži\~µ?×SþBó%þ2ÎCRÞVùaºß¨ña}¬wä§þ¸‹<‹;0oMîgU½§|“Šöcx<Éìí[¾—>mz‰¾úÖ/óÒG󔔇 9õ`Ïü%—áâtÃ÷FÕîd?µÕ·zd‡Ãõ×ë'öúÜnê?†·á<ªý\z?\ÔOöê~Ê;Sû¶õIùN¸ë)8Je?G ¯o×÷úÜÎÞWKãPˆÛ±ýɼ5=Ò8~§úí‰ô¢v1?Æ™&ošÚzN×»<Ï ýêõV/ÄY“SËt|­½àY­gý¢|Y_ªŸ®ö»×?G{ž+vÛôò¤1o2\¸Æ•¶¿ê‹ß´ñÐ~ ñÙ÷¯ò[$×Ö‰þgØÖqºÏ☭õÓô¨õ÷z—k~yÕú<ÆâNø>"•x (^¦ã”u«ú¨~†§{}–'¼iZôU>6œŸÖ=1¿HãÅg÷ú,Çò{¯0åû)ß{ˆC§þ^Ÿû y â3ÙÛÃ÷Ï÷ìÃ÷Ê›þ²ØÖÛòÚ§óÿc¡ëòGYO”7ÅÍoíÅÆOó0}®ò*ÊOC\mr‰‡¦rÃýMìoˆë–LßCÇ ó_åØyì½ãAfß)î†þ[ëk< y*õ‡ï³Ús2ˆ»*wj‡—ü”OÒwë 7Œ¯¤ïá NÖqÕBïÉÕvú<ÏxdøXÕÃpp|?œ7µó©÷Ög= Ÿ)þì{¹UïZâù°¸ 8Cõ‰'§¸ö5/˜âzšWLùiˆ·x½ÊÛë^4^Kܪã°ÿ¤¢¸Úq˜aS\¨ù€ð¢v]øä´>âët}‡ñeÜNx‹òÂoýfGåyñ˜šÝÉ{µÞéOòN›+êOÃxSë)ÿù’ßNùtkoïÙ¥üøé¾)àO-ŠáûlMÞ^™^†KUNÏ/4N=ÅÛo…õÆ~ yÌé'Å#j7üžÍ“µ?ׇ~gvb|ƒ¾3ûÛ«}Ó«òúÔ>ÆÉxÞ ßZоÓ|/·fïTo˜/µñÁû׈gô¾zOmŸæÆãÒùÞÐúµømqö!/lú‹ê¯ÊiõˆgIù5ÿ<ŠùÙ™ñDÁÿ6ó?¿É3{Mã¬ë©÷tŸŒæßxPj·§[=úD7°_Á™Öø Õûçõ¼Šæü¥žkœ»jzÞ„8ªvžÆ³kC{Ð~€¶vdWç‡ö{ΧyÌ^·ò;ÿ§qoø4êCqôaümòé¹s(—ùÖú(¯ŽõKóÁt}hÒùñ§¶ÃóÊ/Ó÷Zà9™êwõCvJòäù0ú%ý^Ôô´¸ûçÑõ)O¨Åì¥]ßo‹ùÐ^÷×_ ÞQÑõÈÃb\›ÖKq1}žgëjøòƒ8n…ãçM4þ½Þ¯Û>ÁÔúA-ôÝêìÂÊ4îŸváû­?²“Ê Ãødü—Λ>a¾¢|+Üï£þM¯vßülÊ'm_Çø‡í'‚œs¯[ýÌNÛ8Âõkõ ¿D½Åî´Ÿô=7Y7\ú~Tj×á{‡m\øœâkëßðöiµÿ½îõ17~òeܯr©Ÿv}ÈsNûÔÏÒyªúÑwWHÊ—eÜUê/þWå“œv=µ—²¿ôÔ?Iÿ1/µ¸¸×}½§öIyaÈc©¿1î×ú!Þ!žX·xPô:÷%ÞÖ’ú«úeµ‡)Žý yéaý6}Cùñ{&g?CªíaVÒ86ÇØ-ž¥úL×±~?d¯õ›¼!/;ía=«ü´?lgÏë|Ðþ¾Ä¯ß«ž– Oþxúy'ÁŽQ®í‹Nõ|ÚMýÃÖ“ü™ðÈž÷îÿõŸûvÂG›^oöŠô´óÇ| ~W‹áÂØÿ¬=è¯õ§ñ!Œ“çÜx“Å›ÔÎüŠÎËCþJã¡ëÈOÃçØõ|ª<éú¥þõç¦ñ¼Ìo­Gå±}„û2¨oyÏì[>ò˜ïH©¥ýß.ÙÙ^÷ý·÷ îõ#¹UO{_¥ô‹z‹Ôb|&¶ ãÑ¡]à:Úþ†õKvâ°ââ^Ÿû©×áý'íÏâð¥&¿êséoq@ä£~C»Ñu¶çt.|¨îËÔûx.ö×ê™]Ï­úîõQÏôÂ-ß¡bø«8SôÃû°ßzLŸ[Oß7ò“ŸŸòZé÷´¾'ǽ¯ë{q4¿ ·õ¿×çqÔy$}7žâêkõöº¿.¸N×-þ˜~Oy¶êâyÊ;êý0ŸnýÛüÙ>eÃüãèEõöº•{Ú]÷…¯MíDõ"ýê¹ðƒÓO¨oGÿ·óÿÒ¯Îñã…æ¿t}¹4ž”‡ý²][C駖ñû`æÿ×âk“Ÿò(ÛO°¼‚Öù!Ï;ò‡~^õjrB;û–ß×bø§õöºïÿº.v}äÐ{UÎô= Á*cµxûD±ß§ë!xIíÉï°ý”g ïÁqØÿ2šŸË¾ú8ü‰ãÃ0î¡^´ÿ»×Çq5}‡~ÇÝÔÎÓù*ï´z).>äõ>“«é¾^*OæßÆ£zÙQpå±ý§ýMã÷Pÿ&ì·žÛ|4ùæGò2¦¯â]½¾×G½Ó}ûGDNk÷”¯Y|‡ñÛx¨_µË4ϵ¼ŒúÛëöúiÝ\jý¥ãI÷y,N‰^TȯP®­Ë°}Ó#å)f÷Óýø)Þ‡~’â}‡½_8•'xIýžûöUxÆ9Šçõ=yOTõ5¿¢ßû¤ë0åyu{ý‘¯¬GÕ£é5åƒÓùúËéGöGª~iüªEùAȼi~ã9çö]‘½Þ¯o©ŸæwÒç_!®×û­>ôÓô"¹C»2>Hý)¿Nû#¼q>Ž¿â:³ó½nõGÿ}š?=å»Õ_j½r=Ö#œÏz½é-ñÛ‹×uìÿˆS»HyÚ^Ïä¦ù‡ø—=/Ïï´=Œ“J«σÚxŒŸ‘†òP?²à_µ¨ÝíõϱÌCmÿøü’oþ”òâb/ç\ÞCó€a<þÚÅÎÍîO½Ð.éú¿~³Þï§ñÜâ¬Ùä ¸žÓý!.QyÌ$¯jú_ujõÓ};›/â{ÝË%%=%NZ‰ó²¯ßœóé÷í“êyúÜkÊKÇDÿÖß'öf¿ýÙ쫲ƒ&ð+´»§ó“î#´~†õj¿­^º½×½ÁÁ¦_šß™>òžL•£þ’âjÊIßiüyhñ|’€~Tt¼Ôÿ^ïõ¯ó'*>Sž”æëEŸx|ò^`Õ§µ ²_›'j>›Ú«Æ³ŒyÓpþÛ¼¤íÂùnã€õkòÓ¸â°ÚÑ0:×÷z“Gík™æO©à:|ëôæÑM¯‡qªÉyÔ/å_¶N–'¥z~X|þ6§~Bq%ké{–ÓüBâæ©Oóe~™m}Rò­ŸÎáØÙ‘»×m½s?õ—iœ”ùmòi|v¿Îï^Ÿå¤ë|ÉIç?åçÃuF}Èo¯z¶žu´Ï'ûˆµ¤óQë·ö'Ô^¬ý^ûS‘ym×…5yõ»âéþXÈ{bü¸ú ÿ†Šò“)N yGÓ'ä?§>ñ±4^ ã‚Úe½é5Ìg>á|"^„ûò)Í;ÒxŸÎóÓß“Ïÿö=±¿Ú¾É#\ªã´÷Ý gÓx›®ðG’s®ÛwâÉOå=kãTï\ß뽟*?ÝOLí;å•´¿Eó û¦­þ^ŸÇuÝÈ—›^4oW?ô^ÍŸ¼·¨xxWKÃw‰$/—Å5´ßŸz)î2;–}¯#/|n“ò^ýÿ—/y‹ÚEˆûU^œUü³¸œ®Åû§ø5Õ+Ì;l]ÒqÆ<;僂 Š‚#ãø"<¨Ê¯zÙú‘Þ§ˆ'Óø¯ûá¸tÒøÆôk‹ç—~ô~LÊßĨ]»>ä5©¾µÕÓÎIúNI(¿òZìä›<š'y>LE×}ŠS’'¹¿Õ=§–qYIù}­¯ñGæ§ÉÝë^NÊÏSÞòÎV¿èGí~+n´þ©ÝK¯oùV¼®!_‹Ç?ÅcûŸ±½Þ¯ oýOßÐy{i÷Ém'S^]ë7=÷ú¬o'5~òôý:¾úEùu•ß„<ÇììÛ÷÷N?‚+øðt½ìòŽCû‹û7¿ú¶ ùL¬§Å‰·Í$^(ß09fg6.±“ï†ï#¦ñÉp¼³g‹Ëõz“»W¤êeûÑ0¯MßiGø)þ„òÄ?¿Cž£|Nðõ6ý §õüÁxB»n~_õÝëV¶³8ë…qÚðŽüqº_f<$]§§ñ7«a|P;­íöz¦giWKÊ÷Oý0~yŠðySa~Y‹Ú÷zï'ô3ͧ<5ÕÓö›¦~$õŽüßÂ#áçœp,ŒMï4^ìõ¹¿ëÏc?ò›Öï”O‡üëñûOymêW`—§¾¬ƒê™Úû—øØô–yA½í}¯!Ž¦þÇ3ᑱ>àO*ÇÆ=å²ßAã8×Í/Ó¸d¸mþGþ`v´×­ÜZtÜ!’\åÍæOížÖi¯{=^ßÍ%¿oúyBëïáxÎuy…×Óçÿ´ng›¾áº¥þ×ô€ñ5=-/Hq²øÕéGìœêázJ|C¹´/MóM÷ ×~›'¤ëav6åués˜iü¤q…ÏgÎõ”„ñ£Ýßë]NÉ7Ð{5­½á í_M¿ëî³5½žÞúžÚW^¤ø^Û£Ù<и‡Ïh<çºñ†é{ôÞ{ÈéýÏsŸp,Üç¦2Æ¥!?9÷Ëÿ×4=ÌS~7ij*¯êC÷›Óþêw ÅÏâñ§yà0~9ÆCMÞ·D¾ŽOògj¯r‰X<7¾NöOý’ÃçDM½Þê5}Ì)®‡|´]·¸3\Oªgü)'í¸×}?Oû#yßúØmëŸæ{È›ÜÔÞøÔäÚ{8¢'ŽÞS6ùéó¶ÂƒÑÏ ÿŸâ³Å#šß3??·×O{Ãõ”ÿÕßO[Ü€ýpôßëXõ€÷ŒjÑñ?µC‹Ë_R9aþQ‹â\hwM.áù·ÖãÎÔïS>&ã#=ÍÛ8Â÷²â8•òùŸªÞ†çSüýAõ®8úácœ6{Þ§z…þ×ú­y…ð€¦ßR\ÐýÄÿ‚zßò¤Ôî‡v?§šêaögëöGZ=Ûç;ùáÏûù^÷õm>_íPχq¡éýÆë<Ä {_äȱx˜Úðß©½}ì}š«¿aü8òkýKÞ·ë,ïß<ÝOŠý\Æqê×ó«]ú}ö”¤ø`x¾—ØêOù€Œ·é?\¿4~4ùÓøóôý·!ïEü©Ç½>÷c¼x0­ßio8@óðÒ×ú­r°ß0ŒãØð=ä4'|=r†ö/üŸŽxßžÚ—ïÅ¥ã¢û‡Ø{k_Þß~úlµË¯Z{òsÓÐ8b=ÁÏb< yKã?bŸ¨Ÿé#ÿÓÐäH¾Ñê‡ùöc|m¸¾õþ9ßëM~*§éMßLãaÈWÍÎ 6}Ÿò²)^§qij7„ס\'„aü<çö=ü4O#ž2ã;Öžòçb§8ïÔþh\fgO‡vÚ‘?¦~QõÜë­=úƒà:ꎫµƉÓ~Š†Si\¦~‡q†ô®×ñ<ŒWcž±×ýý×õ¦·áÕÆ锯ézš]<ªwÎCÿ±y;õöú,ßæCž×¹„´>ƯÍ_(níõÞÎì‚žwÚ{8OãÅ0oˆí£Îó^ïíR^ò7â'UO¬?ÍGìý¼4¯®×÷ºí¿¶;燦ëœò‡w…RQÜLçg˜?4=Ó}£ÚOyNBr«Þµ¤¿“׸’ò6yNóÿô=-ñÓøú4î=I¯TÎx?ÐŽ{½ŸÛ¾ßSždçòþc¬Oú>ÅÔ^¾µ‡”ßLç×òL™§ªê=\ß#'\í7µû½Fãjz†v‘ÆGÔÃü?ÝgÚ éSK¼žÖúþ á¤ùÏCžIóq-÷00¿:íÂuh÷WNýÿÓ÷; ï¿\·ñ|Õu¤}FÂ{®>݇7þh8•ÆWà¿ÔŸéaωS»Â~Âñö°žíúoû]¸n¶Žµ´v{Ýד8¨úš_Zœ6»ªÏ…_ãxºÙô~Ék×Sü z—ža¼Jç…䛾­ÿÏO;›À1ë·Öù:ðÒ·É ã‘ê½×mýsºFxkß»ù†úœ(´³ÔþP4^~µX·{0}í¾Ö3œÞë^ïjçésÖzþ½õWã¹ñYÒÓð¯Þ]?rŸòœŸ¶~,žQÿ4óGÃkZW“T¾ùÇ7Òxe<æôDýmVÐ.[{âÅ4žôyÇ”ONy;ñã*GÆÙô®û´ÝéÏæ7ä31~wí?ÔÒæ{øý°&/Äß8Þ¥qI¾Ç›ê©ã˜ò µp~§|9öwëÏì6ìÿŒüñœï•õ>§9r‡ö„ú¥ñÌðb¯LŸz¤ÿ/ ãÍc«g~Nz†ã"=[?{ÝÖG^ý7½m¾Sÿ;oý/><}ݶ¯ò5n[~)Ǫ÷9OñCöU«üTZ×Zˆ_T=þO?Yÿ†!?%¹i™Æçt]빎w¯[yçþp*ö§4NUÞúñéx˹oþ1Ä?ÇWN{{Œä†ø×ú!¾(ñºÕghŸ)¿Ayéó[/©_‹áò¡”¯ã¾ù•)ŽÖ¸xÚÙó€¡ß¹¯~âúäw ?ê)Ï_R?lýöÇQ_íÏ…/“¾µè¾Í÷uø¶•8n¦õR{œŽÏp‹ä¤x+ã²bûçÈwÃ8¯ÍOõwŠ#)_!y×yoýÎ4ñéûuÀÃb<\0œ°ýe+GŽüÏÖt}Ž|òSxžDã=í·èù¥é<ÿ¦sªOø|ê…q#õ÷ÖÎâçϦüžô‰qÖ«#ä‰Mƒiü‘çžØÞü’ÆâtŠ÷?~nÇUûÕq™^ÂT®Ùèw©4}Òø6Å·PÞÑ'm7õ‡T¯éxS^Xý©üλŒ»Í¾×çqÙ8÷ºòéþÄÔß-þù6¶·¦bqPýÎü©®ï^÷úR?i^1ôÿ6¹ÎmýÂø¿ÏDñä_öY¿÷žâà_Ìÿ «Ü½>÷KûÔö^B诊3ÇÄ~Z;ãɶnSû y Ö7¼HýÂüù²ß4Ú<оUÊkÒ8¶;zQý½Þë½ÎM*ÏÃøpêó”cqÒæ›Ö+|ÿêœïõÖ.æOyˆ§ï7]ú>Û>Žá—ðÒZtŸ(åÕp¿Êmýˆ?·~öº—cóQñ)Œ3µ .ÚóºǦ¸+õšÞßêQ~GÕäOó€úþkˆ(ÏxFŠäÏô¡ô½Zßž³¥ùVÊ{¬¿!o‰ãAšgÊwÖ°Ÿ§~’òÂg±«XߺFýïõYÎoñÔ‡v 8Líjþ3åyö^¶ÄÅ”'¡>{}Ögꧩ]››= ý¡mœé÷ê<^ÇéúéïMží¦¸øT?ã™{Ý^?ý~ɾÅÙ&çàüÏÛù©Gó´×ûu‹Ÿo¦óÿÔïÒùNý毋+§žñ XGì'Å!³ojgëâ[xW9çüi\ÞÛÝ0N¦Ç:Ž¯ÇâY-1Î…ëð-O;ç!?B=`±þ¥WåÄ7 }»âèÏûýi)Ä•&‡æß¾ßÚáCëgèGMNºŸh罹yžØWÓoïbž:ìõ÷ °ÿ!©çèWÓ|%ýžhúÍ^·úÔ‚þÚWí·é1µ#’?}nK8”âÙ^÷׫œW½ZšÜKÍçuèÇ1®ošÊü=×÷Šú}¯Óýš”7‹ÿ¤v^ï·úSžFöâÞÊ·¦q#}ÿ6ŒsGÏ”o_7û½jIyÉÔ/5^¥üsz¿Î+ý>&}žXñêOó—"/æSS<“8jç䇭ßé>Œ»õâæf¯‚/M®øñØNÃüãœïõY?²ßǧñ¾õwÕ«ëDßK”ø“^óô§þ•>gLí!=¦¸\õ$÷+kIó¡v?äV”7íõ~.ÿçÇ-Ë3 çd_ ¶;çOã|ºyéÿ”×Ò8BžTÛU} §Sœ§Bã¨z¥ü9+(ÇÞ[4;$ÿñ¦éiq:å»S>o~6åŸ'ìyò‘kïÒ~ÈÐnpa|®zÅò€˜~µÄúÒ<ìõÖ?ösÕ3ždq™pªŽÿêoß4¿0ýĞܔ‡Rü4ƒýûTOã/¤ß¹þ0?Šù”\¯%3q¼úÒÔÓqÙû¬i¤ÿð½)ôÏËë{_ÔžâSÊ·Bþçéó¥ªå‰ÃøÞú9­þi=yñ\»¢zí:½MõŸâJˆcçú—ü€ ö³×ÇþMßÖáSjŸõ÷)¦ñ6}_mŠÒ®–Ô^±_™‡&7å)¯ú%Æ Â‹ó‡¬û~S?´qMßzÊ×Ì~§^ê¯)O4ޒƹ§ü<oªï©Wõ¡ïYíõY¿a>ã­GºŸbÏsEŽ'Ì7¨]“;ŒcMnè—OåµûÆ'Âxžú…ÖÎë9Oñ/å½4Ž½îÇ‘ò†OjûZTk¹âŸý3Ù#}/Ñô¨ù¤é x€ëbxD§žµ ß[Ñö6.z.Hï’üzÜë^óCšã+iÜ Ü õŠçÿ·xÙaš/Ï5ùòžÎÑŸÚMíßÖKÖ§¶39Sùz ù^“K×÷º½ÞôKý>僢Wëð‰Ú!«rJÜŽýÕžƒ‡øJýŒý2åÆëÄ_T¿‡ëªãùZ“kxXõ§}Dó;²ú4ð¼?o»ovd~=ÍWÓ¸•å9~-:Þ4ï÷ªZ¿)¿ ý'~?Ýò«/åÖ’Ž£Õþ—Æe;R™òçø½ù!/Ôö!¯ÓûžößôOýÇìOxÂ9—÷S|VÞ2äÕç<Í B;©ÅìÛMù|Š)_°ÿë²ÿïMy†ñ,ØÇšã³–Ä~Kãß뾿‹¿Ôûð?ËMžÌ+þ/ à:ÎÌ[““òDá¹ã8`| Ümק¼ú)~ÈkÔ©Ý^™>á¼4}é»$¡ÿPI÷O[»§yBˆ£ñuám©Ö>m‡~º×L>É ù3ÉÇ~ÃxŸ®wm×äPÜ¥ëfçS>îs¢ÞS•>LqÏö S|Üë^µ›ò’:¾Êwdß¹ÉIy¦ñUšÿ½>×£õxµ#«~m<Âp'õ[áêÏiÞ—â|åiáÿÀ¢>òœÛÙ‘Ö)õcú¿ú?súÞ;Åã¤wúÞMŠ§!Okßw’8|®“^a¾ö4ŸzWûô=ª‡¼GãŠå—ž†[Ó8_ì®–Ž÷?Qÿx´ï·Óuâ­ÆgÓ|-]¿!oÃyßëV?ì¿Ô·õnr¦ú¥ù$èú—çñ'kýÖ>]¯Zo¯·~Rû°ûYŠãðGë×Þ#2ü³÷3Âç#iþ­vÚ[Œ«u¾÷Êê‹žm|õ8ý_êéxÀ¾I¯sýi>êÚ§ñûáþMOüÜð¿)ηþ¦ûtS»qºê9¶/Ái?f{}Ô·é?ͿøMý`ÿ´î5ÿIyRŠ£)>RõKöNz¶zá{(Ø>µOú¾¬ô‡ù€á›¼'{ê‰Ôz)W9ê¯{}Ö3|.¡úGò÷=Å»4¾=Í«ÒýÎ/q¸õoò ‡ÂïÿÆý‰Ý¥8xÚYÞkó.ñ³ösÎÓ¸“ŽŸÆeëù”§qæiÜIý(õcÉïÚ¼Ÿ“b¿°.8®oýTÆUë§íÓbãiõöz;’>©žßúIúeÓçé:‡ö5ÍÓ4~OyOØþô'ÏÍP/Zò³pßG)ß í ¶Óp½êõÚ¯ê!þÞú¥8$ø`~oõÒç¶çœìÊö¹i}é½âaVßìs¯{=R|&½¾ýÝö·¼cÈZûaŒyƒÙõ^‘G~øžu:í¾ý.ÈÖ/}N—Æ9ñ?í'åmÕŽm<ÆקøO¿CHyõS¿°uN÷1ÿPÂé4^IµɧþÏù—x3å_ÖÞ7ÙëýâAÇbÞoþcþLzÎkŠGõ|Šÿ§žü[Ó—ÖµÎSíÿº®õ«ø‘ò¯!?¤ö¤÷©7ôûD”â‹Žsø¾Sk/¸¬|`G 'É-‰½PçºÅ£²_Xå+/&>.ïoX™ÚÁ4ηv4Ÿ×w„Ó÷[é=šaÞ–ÆWÇŸC?Žy“Õ£÷KS@þþs[ÿè/~[¯k\ ¿|S94ïöóÓu%ü¥þ-Τq|h—¦ÇTÎÑKæKy¢ñàá󣦗ô[K³Ó§v”®ÇÕÏ4_xz|ú޾镾ß5}ž*ö×Ú /Ãú4^°?Òûñü™ýqðèWßÓ6ýí=ì4Þ Vyç|º?bßyxŠw{}Ô_å¤ý ýþ´“8‹ížòôÐþ›~$ÈoNû:Ï°?Iz`¾›®³á«Ì;^‡Ûˆ³çºõ³×gy¡¾¤‡áIÓsj§ä§׆ywÊ£ÎyøžEÝ®òt¾í÷üCÿ¥ò8oëM¾ñbOÕ³Þ7=›–‡vÝäNçòGÒCû ÷íÛõ§ü÷º/û'6Ϥçø|ºïMãKãeø÷1ŽžÈ{¶Þ¨oš^‚3µ_Ï0Þñ”ùNµÏ¦Ç”7‘ÿÊsµÓÞ¾³šò ³ƒpž©´8jó'üå§qÅò°3ÔwŠGßÖ§qÖçÌöžqŠ+Oýg˜ÿû€O­žÅÅé¼îõÞ>Å¡š¤~A~ ãmz‡ëÓäOq?}§Ê⪬ã¹®{«ú!Ék÷§ï ý’^µÄùÙ0~6ù6_S>¾ol|çÛxbùYÕ£õc~ñgÖ’ò1*–§¶ú_êÙþ¿6Ä5Õ[pÛ…ï±Oãbk—Ú‰<çF9{Ez¡Û|Z~óð=6Žð~Ê#bLyДïõq|Ê«Bþÿ˜Ÿ=ýÝÌOÕÿÞÂô§qÃû ãu>†v#üOýÁò1Ò~ßÛäÒúOñ þð©õo¸Æwï)N<}î¾?ã‘ÍÛ4oKÇ+ï¤Ï×jã,Œå†ï3 >Õ~¨¾Ø»Ê·ñOí`ÈÕŸ%ïjã ׿'ñ²”×[\°x7œ¿£¬ï´¤¿7‹Ç]ÏÃ÷gužêû»ò} Ô»ÆkêŸÞ~ºo_µÿÐÞj‰ãµ¬o“{é—òÔÿCV¯7ýÒu¶u°ßCn¸o<‚ìxØOiþh¾Œ_ Ÿjz¦ë:ä Ô•ÔOý½þ9–ßüÖü4ýB¿iíÂxŒý¥~”ÚeÊ+ Rœ¦û†‡i¼MãOêÄg%/jú‡þ€rkܾÙô¿î“ßȼ£žéz ¾i;Ùt_CâÄуô³ÿí{zÿkz¤¼jŠÇRo¿-.LûùÄœ½Þ¯Ã÷½uŸùáþ%á¨õkyÉ©wæãçV¿4>PÄŸÿñÇÿ÷ÿï¤~q\¶¾i>cøa×Ó}›éó$Ú·ÝësÿÂ1ŸHç‘ì”xBš¿\ã"?¹î×zu¼Ô_Õ·>G²ñI^ƒòKË/hf_)þ˾®[µ£W¿§Ùwˆ“t¿É ùck—ò0°—VÖ³–¶®©…ñaÇš^¶†ŸÔ_Õ×pÁê˺}‡ùWÊ[Ò<ãÈMqq¯ûëæŸÀ“í9¬®ÇKŸÖo¸ï_õ´szÇk›/âe6/¡ý´~öz¿ò‘&‡âJ:S“âék Êù:Îî\òRë|ä“~ô\ õK ڗ5»òä£O•Gß1¥}5Ãaóç0kz‰œë®¤¼ëºísÕÿ+°õªýïÒ®ž×~ë}9ž~R<¾ä§ø‘ÚÅÇô½˜4ž^úi–׶öiÜ4û~¬û–ïÚþÙÛдÿ!:òj=Ù—@{£q.µþÃxzÚAžNãj×%ÆqÙòd’k~h|;Åé0n×b~Ñêßñ˜ä"ɾ›òŠ0Þ*Ï14Þû­MQÎпÐod_¬űª÷^3ýl}Änª1®†ø0ŽSd·qByƒíSÛ>tŠŸÆc?¶?þŽ”®Jv·×í8ª¾mSÿ³õ#9U¿§|€ÖÛìÑìÈòÃtÜÆclžÉàˆú™¾å{ÐGNµÿÐNû½Þä4ý®û¤_=¾ê79Óø8µ·tý!ŸoíÊxb\–çïçHøòµVôžÕäUÜ›öŸÆ¥4¾¤|£â•á³ñ²ïp®›^盶´×çë¤WÁœ§”ïN÷ ¦¸kó@û;„‡&ß·;z¦ã¼äP|øÖLÎÕ¿ùÄÛ_^rU¿!_lû}4>ùýžëµ±«*Oû}ɧ2ÆÔ/‡ûUoÅSÃi¼Þë¶Þ©Ý'¿®Ï9.ûºÚù:o†!~ú|ÉöQRþ}î[ûª§ý_‡áKš•~›ÞO÷cÄ>|š÷4Z\;Ï%~îû§|ž³nÿ¿V;¢y¬ó½×­ÜVßÖ®£Â/È·ÓøŒógç{ÆS ­{»/¼áÔ{U¹{}¼Ú§û µÝußêQœ™îYÞâXÓ p›ôhí)Ÿ;&9ã}@Û3{¬ëêavAz_÷i>hœ¥Ý©þÛPõ—ÿ…¡ë8ž0Î5¹†k¶N–o·¸ø®o“'ÿ«¬öUשÎ3ñ«½Þ¶þá~€~WÝx<¬÷Ñ ø´îëüv=‹—S~fÕ79Ÿi~lýŒ7}{Lyèë¼êÕô©íBþ4Æã«X§ªçÁW‰ƒ­ùN±ÅŸV¯è]û£¢ñ“ôŸæ©ÿ’ÝXܵ|ŽøÅ^Ÿõ6~-<®ÉIq™ô?¶v†›Mnº`8˜ò.GÊ·Óö–¿H¿§¿ßÞŸ´qÑïÕÌ_ÃñÕ‚óPùÜ^÷õI_šÈCZ;êßâ†íƒÒòJÅcáEXü¶õOùÄùS/å)öûʽ>ë]ôTÞVÖãègû ¶ï<-擇o­÷ö{½Õ;úþžû©ÑûË–GZ\Mù¨ù¡Í¯íóX\4¿¢ùóŒC)nZÞ*çUn'pŸv:Æk7p}ËóÛÓ.•Ú͇åg©ÿWy¤'êŸÆÙ*¯ÛþÓ8­þúA“G<ä:š\ÊoR6…ç¤m²ÎMO‹_da>¥ñÌÖq¯÷vtÝò$Âóû4.¥óráÈ0NëSIó0:¦ûä/áù ž—y®%nOþ4Í?-/HçOôÆ~iÝ$_Õ<0õCÚg4þAþuɱ<^â[-ªOí—ðtj'é|Õù¡÷$ŠyãÓï¸Nã.éŸÆGÛW1ÿ¬û¶ÞW½i?i¿ä¾.·zÂûN}Ã!OÕ¯òŸÙ}¸PKl?—>0M0ïA=Ò}NãEiÜNyÅoâ;×ý)¯¡u¬ýI~wÎI.éò"ÃÝsü„î›­ÝÐOÕÎÍêý½>×Oñ<ŒÏdç¾Í§É}ÊO÷z;¯%µó¦ØÊqzu¬>áÍ¿á‚į:ÞZðú^ïý¥x ßhxCïéÛºW=êw®~H:/WýÔ^ ¿ŸÚyh?¨áç4~šÿÓ¹§þÎ#ŽÚ=—LןÖ;̃Ïýô=Ãêô?_麦ǔçH¾sôƒx[ïk~jÿŸjñ(å픦|ð¯êY æC4_Óý„@éÿ'öº½~äJûÖ¿ÅŠG!ªEùñ”‡®ÄñÙìzÊÿÈþŒoÛ|I?è§{Ý·3} ßRE¿³4>Jã=Pÿ/žöÍÿ(>†¸sä…ß‹jý§<‡¾Wžòm³[‹‡{}nOvòj7ÆmËlsê÷é÷¾Hjã8÷ËÍ‹ùë^·ãÐö¡y©Lõ{oãxݯÇmû‹×$ÑzÓñÛýº¿×û}‹Óqиäÿ7Nõ¼êKòlý,ÎØÏ@}©³«7L~-º¿AvJ~3Åù}pOÜñjŠ#†û‚¯µ¨Þé¼¾ôóA‰Oõºî§Uܦù5|*íSÜ¢2ÆCÃ[ÃÍ”§z¥zÐÑþ¯vº¶×ý¹ñ6ÃÏô;²WÆ3,ÿø–—’_þ˜?¥û×±~Ÿw¯÷s³Òcê76.k—â€øåU,.´z7.Ó}ÉoRÿ,Ühã3ü0Üœæ3ÂŒj<§ñoßëþ¾ù±ÅiÀ½t=Þ„{ÂSZû§xa|ø&é©þ³×}}³‹Ú/|/±–8_0^—ò ú¾Ítÿ"åÇi{²_‰ËçÜðf¯?>å/iœ²uHçÆWïÇy€øu/Q¿Šga<ÐøaþŸâK¨G-_S~dy:ð¯£g‡O}Ã{È󌧜ëiÞžæ‰Ãykz¢uKëQÆÇ‹üÓ¾ÚS}ŽZŸ_غL÷s§¸`qÈüEòpÕxêsÕýk¨Å ÂC‰ç1^ÙwjÿUšÿ ù)öGã©ý·}ÙŸÏò`÷èAy¹áÈ¥Øÿ‘æ秾ñ¸¯ ×í»ni\4; ãÈXžñ*‹ïƃ,ž¥x•ò˜½žÉ5;¢öö½JØgP¥õKý–òP³û}égÿ{KûÔUNÑ3Í‹pÜõûG-O|×[å{¯çqÞc¼ÓìCò&•gùŒðÀ*¿µ#¹¶¿’âœå´î´Î{}®W笠;ÍcÉ.,^Ð÷xžæ×S¿!¼½i\fOçzw/¼¸ô ÷ÝtB^gv…ý‘}ÕõK×1å-)°<üáþÛt0Ïi'ëjõÚý½²zéÿb~òs=œo×”‡ÑúØwÆÃøÃß‹ZïõB{Q˜òöt¿„ü_p^åWý/¹)nK|­çiü¯eœo¥q<•;õoÉ;O}ÙgQ™Æá«}=O¿ô\Q¾[—Îcß9—|Dñ‚â0å•–o¦qÈâÛ¥·ùkýÚÓ8<Í‹i^z×û‹ÅkÒðüô/ù”ŽËêaÿsß>Œ§M¾á‡ä_­Ý^÷rdW×#‚›M_ºcŠã¢Ç‘óÚî~šŽãŠ›|Ú?HýTòç1þn7½Å°þ%7ç²n§ñ»”WéþtÝ*ñâ´Cþ¾>÷Oç6?ä_»ôgón¼ú»Jߦë%ñŽðõ²ù«ñ¡Þ¿ú5ýÓ¼Äprº~4ÇÎù^÷ý\óñz~Šó’âñ…¡é<Ûz›}‡øzê›Þ–ÂýXËOBþŒýY|Øëýœ¾{˜òÓ×ü:ÌoЦxyµ£zÃ} Å«¿?Ï9éþîÃöÛÌiűÿK˜ŸÓÎöËw€6½Œ§‘6N‰g¨§ÄÏxOžµ>ë5´ÓÇ~Aë@vA8'ïi×ç é~GÑ“Jœ'ÏÕøqÝ·çÇižböòJº®û¸4‡ÐþZý—ÍË—þ¨ž”ÔuÿçTíqèg§­{—ú]DÛ×7\6»µx´×g9$÷iœOùZwqÞiÿŒä>Í -ïIó‹Ó{}ÖÇü:]'ÚOH×Ó짎#´+ÔCìí´«øâÅc>NqpDÆEí-oHåë:Z< ~ ßCÜ<÷í ˆ¯¤ÿ?;Å%ÀóÔ®¨`;ûÄtŸÆø­—å€/U¿6ΔכÂS•_¥ø6WßγùóžûµŸ½ÞÏ—»,í(¤xöt?1å-iþ`íÍþ¦öBö ¿Œq¼ðˆÖ>´oÔÓäï(øyÚÛ|¤ú†xNùlÕ§éGvòLó3Ü·ù8õ-ï2~õßm×éþCÊó¬}xDy&wÊ»ÈÞR±×³qÁ8ëýxžŸ®K׌Gš…<¬¾Ÿz•þO½46} 'RùOû¥}‡¡ßžöSÜ&÷pßMy¯ñ3Á…ZZÿÃïŒá<ìu/?ÝçHùÎCCû ãùU-çbþâxü|@pãœïuß^üåÑzÚÿ×ùºôz7eGõ¿SÞPúoòÓõ7|Éç'æC>Û®Ï3{”ñ7}iÞëw›§ñi¯ú¤ñïô¼¡‹äB\:çéøwi}Ÿúo¸/w®“Û±Œïȼª¥õ_õ°ýbÐûÈ¿Æm¿G1}ú¼ƒþ7ÒìÜöµ¤Ý×üÑÖÕð;å‚¿ízŠãâWÔú‡øÊKí'Ä%´ƒKŸ'‡ySkO÷-þ¾ôlõ+´ýüŸÛûøÜÏæSø'îËÖþÕN)ß Ÿ—Ô‚ø!ëÕÚ›?2žhù½×ßÕn\ýNq›î[>3Ý \LóóçtÜ´ï—òyÃO±ãæ?õhãyºQåÛzÓ÷—Òu±ýË{ ?¦xnòëù^Y½)¯¯øút©¾ú9íÃ|ªõ'z‘ª×䧼^æã\{©ziüÜëýºÙŠwi^JöDr«¾æ7—h¾‰×þÍ/j}ŠoâW­Þô(~\ ®‡­·ážå'i>òµ6.‰(מWؾíÔ~Âyoã{¸§½ùÕ”÷ÿyʳˆG¦ûhÄ®ëõwvSLŸ·o6{1ü°ïa›ìõQSŸìpÿ’›ò+³y¿‚ôiò.½®cÚ>‹0U_õùîs,WìAç+Äß8O7?zºÿUqGä¢>‚sµèÿ§Ë8Š7é~RÈ7c>fû))¡|ñéþYš7_ýL秴;õäù°Ú³Õ¿ú­zMñ”x—íX\"ªç×8Òù·üÀxÍÕŸðÖS_xà©ã­rÚõ”ÿмØ:Ó:ìõ‡ó8Äó¦w8Þ˜Ÿ[<2|©|/•/x^‹Ùí©góPñÖ¾ú å!áÿSÛúœv’ß´zÔžÖ£êŸâº¬ëiŸÆópßÐpå›Níü'ÖçU÷§þKrˆoX:Å9‰‡ê·–Ÿ=Ía\µŸs¾×ç~R^zÉ=«Ǫžõ~ú»†¦7üŸgí¯Ù¯}‡{ˆ'¿¦8ŸÚÿÔ¯Ó¼.å fgfÇW¿ázŸv©¿§vlùÊuœÆ ãwâïñ>Ù×KïÓ/Œý ð±#åë!?òiÞ^úSQû­ïÃÞ£\ÙGiõëûu>h_þ׳éòÎ0ÏkúSœOýßæ‰ðpêW„†/OýÖð„â¬øû‘C~œÎÿ”‡¾¤û)õ8rh^«?ÔóG÷º×gy¢é«ëj<0åÑ6ß$ç¯ÿ¼ß'ÜOóÉ÷bù­=y»íÞë{ÝÖkí^õb>–ê=µ³W{@8|áâ÷{  w,ŸJópÙÇ=íöú(qÔÖÓŽµ_ûÎΫ~-†ëçHïïÕþ«^×ù4Ž_íìwë”÷‰üSï)?0»½ô¯óSùžÅ}óÿ¡ý7ù¶ïXãÍå·¤7ýešO¼U¹­Ÿwí;{Ý˃~›\°×z>ÎsW>Ù>EŠÏÃçí:Í3áþS%<®ö ÏýÎý‡|6æo!¯<ßÍœkúìõ.§ê}É­õl_ŸÆŸþÿð~?S;»>ý›ÝÚúíu;¾4bÒÿiGó q¤µ»ôOy{mgvüªwä†8¦ãMçâ”âyºÿ8ØêK>2¶gâÉö<‡öAa_çyèom\Öñ);Ï1ûµyJówÿU”_ÁsÍ›àú‘ŸÆÝp>kQ^FüÚx‰ý®Óxà âlÊk§|pÖáܧýÄG¯ý!šˆ§ÞK¾â¶ØÙ9kã |H÷K„÷5½l_!µƒp¿5Æ-šŸ+Ÿ§üÉì—ÆUqÕøŠìó}à9ˆùÑ©Ÿâò¥wÈËbÞžæóµÓ§ÎßUŸæùºo|"Í—¦v+q Åa*§/Xÿê¯ÐêrO½×l!å9÷ÄÎ[6—uÙx„̳^7žòµ&×æ)¼^‹âSÚêÇ—|Âgjgùù‹ñ‹KŸëXÛ¿®ŸöÒÖ›òT’Ú«æ4/Óy¶8d|UpÆúiõ÷ú¬å3¶~©Ý‡øTK<¶ŽÀËé¾âõð»¾ZÎ÷ú¬Ÿñ¼!¾b|yéqÎÍÅj‰yœùÑKOòƒÖ¯ÅZ·«ŸÔ ¯:çâ‡ç\æ·é}éYõö“æ!æÆ¿Âxuê ¾Øxš¼).]ý_y;Ø‹é¡yYÙ—«úžsê/ÄW»Û½å_¢'Æ-ñkó­gùwº_˜â’¼÷óµ0Ž•ù>ý˜^4Oaþ]û©¥Í×K¿8ß5øp¿Ðö?”OR>3ÅY³ÓižC~^ÎO{≢oíßΛ½Ò>¥¬ƒî+¦¼ä¶û„ïa¾ßî?´3å…¶¿4ÄYô¿½Þï_çבðßâ¨áqê?S>úãS>%òÎx‰OB|¨íbþn¸nxk|‚xÐU/ÜGÓ¼Áö“l~ÍOÓ¼Øâ³ém¼¬ÎŸÄ‰#×æ‡ö¥@ŸZ4>§û6鼆þxô3/¼p÷´'~kö<ý_Ö)ÞÁú6½Ó|aŠ‡už`¼­?ã !ŸOã¶ñn*§þ•/îu/OŽGžðÕÖ?Õ¯zмÀÿÅUùçÜü<ã!_£ë)/iýÖ|›äZBïñ¾úýDâT-¦ß©gólñÐì¶æ¹»œ§ñ0Ìs¦qµÃòï!ˆùšùù^·z6½ ^<Þ©ŸšßSÿÓ|ÄòÍ*Öõ|ŠÃ×@/´#’cùž¼¯q®S½‡û!Mª_¾sÚ…~¦¸’æïÐOë÷aÜU; ó³KÔ—p6´Ï#×ðeD*é:¤í­ãÔ?úÃ^÷í¦ïÇ™ ñ;åÅMojŸöÚú¿É1üJyò^÷í,_µ|ŽW©¿OãªáƒÍË«~ÓcØ«G8ü¿ Ž«ÓÿcXœ u·q=ÄÁªG_Òy Þe|öåÉîêú ª…×q½_‡ñ¢~{½Ÿz¯k=–ߎ£¼úûɪÏ^¯zë¾ËÿÃüóô[¿wpõoøn<0|`ùbÕ—äÕzqÞ%û«¸æM$/æö<Šæ9ݯÞëþz˜ßÅ<÷)æëMîÃýæ#—úß뽞ÙWˆ›U]WžCöòŽÖŸ­§­Kº_ý4yd{}îâ=/Iù`Š‹‚{­´oõ€—àþ—àJ«oz6^ýsÛÅ_ÔÓø¤ÅËPÿs=ä‹X?õ_ã«©_˜Ѽ…q:Çÿ —Í/-¾…ü¥ãÂO6¹½Þë_çô|ÁâpŠ“Ó8YëÙwì;7éú˺þèC<=r¬>­›íÐï¤è»kâOµè|Ê|¨ð·¦Çp¿Vùå{’Ç}+§ÞÇ8nv‘úç”OPú–×…~€ý _9íÌ^iÓ¸¹×»¼4îI<ý\ò ¦ýLñÑ΋žG²;êÇÆkö™ÆÅ龋Í_hŸ¨w‰/M“÷jg¸täV^ ¿3G»øÖúIñAx(êµ×ûñ!QýR~×âðÏ[½6Û¨qÞpkh‡qœ6žæW8O)?4¿ò´ú¿ À5”gqMü&æ]ào¨·¬ïiGøòš§z_öAZ?%nœûÆw ×éyCºORëY¾bøa¸#ñóÈI÷`~j1ûWý§üÃæ_p±éÆIéÎÏõ”¿ ×ë Äv 8˜Úïñ£ôÿ÷,T»Üë]^Êëh^^ýT½pðÒ‹Æ»K»”_ž~Þ®7ý“…üŽúUy´/@ñ*Ü=÷µzÆŸR~%ó†ãÝë^ŽÅ)Û©úØ÷€  iŸÉx§Í£åãÄ{ª^)®OóØ0î£|ãñ¥_´›ç×bü¨Ê¯õš<òWÏÔÏjûÕóÔŸ[;òÇK/²ßi|”8uÎAÿ¦·ð½Vߎ•—OyñC‹w)?ÜëþºÙÍ{•g8Dz_rwS~mùû«ŸS?͉?[¾où”á¸Ì‹ú5­Å…½Þf‡f_/9ç:ÅiÃqZ‡*ŸøQãßë¶~•ƒã§y~é£ùºáCêWh_?Yû”ßQ~æÿ6?`­Û¿0|{Æ~‡¸Ü䘿_6Ì›¾–LóãZïz¿.Ü7ûÖ.Îølü²Îš¿lOª¯ùmš7¤ùéC<>ú…ø…qÂðñ)^LÇ+ùŽ[x+Žk¯Ù¸l_d¸QÏã÷öøj±øØä›ýA¿Ø?ųÛ:þúü²ö_¾@¼¢ê¥8føeöy]éw®¿ô‹ñKxAÕ£–iž©þ<åii\ ñÇ•ò²½>êÝäÛ~K¸÷§qòõZ¦q­µ§q}ʺžz–ˆ_592ï­>üÿ)ê—ò²zÝþ/ÇìÕø@xl㢸¶×ÇúUOÕ+S–OO·<=Ý?µùâiê¿Sþiy<å/i^AßYy¦böS¯¯¢úÓ<øÈ©ã¢÷É$?iõÄÏ[ý!OnëzéeþNö—æ%iÞâEÇÓŸ{9ä¯ñ¥üåèKë'ùH³Ÿ:®wš\Šcô^8ÎÓÊêMqjˆ[Gó¯‡þû·àÔ¹åôÿ SܦøCøjùŽà®~G…Æo¼•ð¿ò¨”ß“¿Ò}›×ë|¯Ïz\÷mÍÏŠœ«´vÓÿ-·8Sûò@ËËZ?¦ï4Ï‘8†rBû¯òb\¨ó¾×ý}’ægh×ÔߦvîG¢|[‡Ô žŒíØú±õHqâÛU0þɺŒã°ÍG=îõÞ/¬å}â_*Ïöhžöº=G9ÃüµéŽ¯Õqô@¼´÷5ÉoSÜJã`•gx"ñDZ×íõZà;p­ɵq=Xö;“ïÏ9ÙË^÷ò%OFû1¾Hý™¿Ÿ©ò(îS~œò âUé¾oÿÃøóëßÍo©ß&×âw:/ÂK[¿¶–î“ÏMÿ¯‚p“ì8ÅmãùÐï¹oñ9奩ßW¾ögúÖûŸÓ¸ÆÇ8ÿ õÒü‹pØüÑø>ùiÈ#5Ù<È8LŽŽSpó\ºŽrŽòÅ_š¾Âìü1¿1¥q”}¯#Ö ïW¹éwm§ûV{ýqWâýH³»Zÿ½Ohqjj?°Þµ˜Zý?§v6[Ó}Òp_ã´~CõšþÄ7öºÕ?Žg)Ôßáß@yâקݗqVùlGÚã‘WÇ¿×w¥­gÈC›œ—Q}”Gû‰a~föóüa|üú¾,.ãùxÆS-©Ï­¦yÔ;ò÷}ÿÆ?O=jovdü´_ýh}ÂCÛ¯7?Å¿”ç›<»Oÿ#KãØë»bÏíô¸K»!Ó<@滇üÒâßC\HÛ¥|2¶ó)>‡ÏÐŽ§<¢Ê¡ßý^Úÿ¹„û©§óOا<÷«>»œ¸ê[œþ…r ?H~Ñÿȇqá¼Ø| ¿¥¸wî›ß„óTËtß ÉMó ZçÐŽm>O½½ÞÏ-/2û˜æG6~ˆ_§½½7nýQü÷_kA;”ë÷Õ-ý«¾çxýžÃpÈÖ?õã”gƒý9iœ·~,Ž…q>^GËÛ¬‰ç¨å©¾€oU/ì·ÆGÊ_öú<ÓCìèÔ£|‹Öcj×d·Â÷Z¿i¾`ñ|ˆMÞ^÷ý ï· íLãäÕoè×U~ëÖ“òqÑó´žeúß­òÏù7(Î>Ä}^)ÏS±²_Èoñ¹Èëþé‡pûÒ³Žg˜ŸÖûµ´çS\&¼~pê…û”U}¦ü·é[×ù[E|ÌübÊs†ùƒÎcºï'r5O®þbøvÕŽ/ö¿)þ@žX ÚCýý®­wº~âÿi|lësÍNDþÑGìWëQþ‘öö×ä\÷iÓ¸$û俦¼0Å%óÇz¿îYÞ;Üw>rh¾¾Å³t¿Æã¤x&y\—ñû†sÕ^¯ïPBÞÛ;íË×záºÇñ"µÓÔR; ÷!Ni|Lí;Ì¿±^]'ùß?ÕŸò˜ÿ£ŸåEП¶·ï#Ѽ}]ã¢z©_§û—¦Ç·üÆâ’Õ›®+á¡×öCöúçXq]'»©÷CüÀuKŸÿP<4}‡ü¡µ3{$ù—^)>“~OqTÆÝÆ)ñáÔ§qìu_öuézŠKÆSÉÎÄo›þU®øuíŸäéù^ïGó£Ôè;$´ŸZÏéÿ4-îY|OãCŠ×¶®_âúžïŽÿÜËM÷¯Ä¿TÉO÷Œ‡ž‡û+MÃe³×½²ñnÔöÓ¸nó öUÏ›]zIÞÖäX~K8bqÔüÏäX^lùG:ÿuß6Å‹ËÓñÓÿ§›~—^†izØ>Î?Ho‰ç¼ÆtßÊðÙðÉxô5ž2¾ÚöKvgøHü ú×ïíÁº×¢¸ê óÝôNq˜Ö¯Ïí®cy¿Ç'öe8ßÆGë˜~÷°^ßë^?ŸZŸì<õ—”ÇÓÑø¡Í£Åû0«þbϵ¤ùUí—ÎU>­C˜7[;+1O·y«íËï‘N½ÿqýéœò2™ÐN§×Ûx ¦ùM½_ÏÍoiž‡ùkÓ¿èq®²u&~òšÖ_j§)Iy•é'¿÷;õöº—ûº^ ê Ï7[û4î yC“ÿgU﫾Œq€ÞGJ¿oñp¢æ»ïêþë¥gý>=›®ï%ßø„­³Ä—Ónš/‹ß7¹‡öº×Ãx£ùAê4N[Çé>#Ń½>ׯGzn”î;T»µøEû‰–É:à<ؼ<ÝÇ|É;úI>õ.=ªyÙ9'û5¿}/©ÄòÓ}'òסÔv±Þõ½Øi¾`8—ú'á:ùkÊ“ižÄ^ª­Ý^·rkó\y߬êeñJý öQoyê\7^9ÝW ¾ŽûôKvfvEñ×ò?ùÏp¦É£¼„ô7ÿ°¸ r«<7¿ |ý kÁñÓû6_ ©ßmœ(ßöˆçJœD\<=rC^ z„yu“CûÜÂ3O=º>俧]˜'LŸÃhžr£Þ§ï›†öwô7ý,™“=˜=›=¥W±8zÆc|îÕï©/ûo­žñÆt=„'Ú9ò;²[Ë»Ì_Ó<~š/‡|5]ï§íˆúáó³×&/Ü—¨ít¯{ùпʣù“üõÊ×üÛì=Ì+4N…x^Ç¥û2OªŸÛøˆñ‹Ÿ‚Oq¼iúHãÅKÂmÃÅ4#¾b~EüÓòOÂ%ÓÓþ¯×òY[0N o5¾kû¶!©…üï‡Ï)Nû©_Ný:Ó$üzª-š_ѾOÇu½È9ýLãÙðªÿ8ß3¿6»’øhz7y{ݶoøa~!özÎÓüJüZýgŠ«¤‡ù7í£NóÕ4²¸›Ú%å«SûÚë^áMµÄxŸò/Á™V/µ‹t^eÝÎõªØשOû_²/†úNó’gûa<«%å±MÞ^ŸÛ½î×v­_Êkˆ7>Q\¨ßK¯ñÐÆ}Õ{9ç¡_ÆvoxôÒ«êó ÀªGrqÝ÷ ùiëŸäo§ë©_Xþæ‰óãÆ/Ì¿kã²£õût¿1Í÷ÓøoþmûïižâøÇчø$Èmí ^¶z–‡S<|É›~Ÿ<^OÂ_˜ÇSì§Þor§8J|Ö7—pߺécxqØüä\Ú]\ÞKWü2Üy“Η؋òmZÿ½îïžÀ¾OÊ›ÕÏÓüì ÖùÈ7~Mx`|Áì•ô&»´}Ûß>ÛåƒÓýFñq¿&ï5Þ«¤öïS¥üÖì7Å‘ª7á;Å­ú¾ÏKÞ©Wå Î5ùÓõMùG˜ÿ£>uþ®#øm•ÎgMùÅ…0/²üŸæ½ö‡ýOñðÔpßÞCKí%]óß4Žíu=õw—ñÛK×ÍâÈÐÞgÒ¼ÅîSÿ´¾ðOœ7ûÝÌ4ÞÙ|/µ8ŸîÛ\í,Îý]ý”ú³ïw?¹§š'O:>³OÒ“¾ ýÐýÆsŒW ¯ÁßgѼ[þI‹çéïû§ù_Gj?±ž–'‡üáÈ7?N÷`}ê¸Rž©ùÉÐÞSûmý¿üùØ.ö Z·”o˜½ qîè< õߥ~=OÇeölë—îóкï¸Æ•òYÓ3ݯ|õÛôLùMʾmGëU—k~k¼ õwâ¿æw)>Z> óUËØï…£?™›éƃã$ýèú^÷rêõçu@g»oñ`Øo“oü6Œ‡TR?<×mþ÷z¯7Ý· ý¾á¶á›Ù£áJŠ÷õ½›_Ò?Œ{Ó¸ØÆþZKÿÒz{½×³ÿ52Ü?#9è—é~Jj§!_ã×UÞ—2žõ0ÏÛÛÓ|¾òr™‡Ú»nûŒ)ß qßÏHãÅS‹Ÿ¶aãHíÇìÖpÐòΔ7Ýëý<åµ×ùewõÿ©êºÔÿÚåX彚\‹¯æ—áºiûª7Ó›Ö£µ'·ýÂ!ï=r/=_Çsöë$~’?žû„wázµv?¼¬éiólþeyAxT}ˆ?¤ûa<ÔziÜŸ®Ã~oAó½×­~¤ç¹nñ×ò‡!hxJó™Æ›"'Ö£žW>qÉM÷ÃhÞªý^r%þú©ß‡~zä¦<õé~»á¸ñí¡½ê: qªÇðQâªâøÿiûíq~“ÚØùoþq]OñÞð³ôÓä€~ç<ÍÒ8lëò4îÖã~×õ ù•)ÏŒyhŠã¶/òP¿ª‡êeö1åä§éxC~ÐÆ•Æ'És•¯_õh|×ýÔž†8Ýô)ósî“|ús³ŸiÜ ùÆ÷-ã"»Ióeø_\‹MáÇtçÑò5ã/é<íõvýè û¨ç¾å!ÿ¢ëjoEoäÔ.ÌsŽ¼÷hüîßPÁýƒoãV¿žâÙÃ^#½Û}ÊcŽ?ýÜ·³ø7ÅEgÏj1û"½Ïõéÿ¡’=œuøy;Öþãxö-Ÿ0Þbý íù­Õ³v2oWQ»Ú{‹[©ž¶¿F×m}m½÷º•ôO×ßp'ÅgZ§KÏ4~§þ®ó©Oókû¦—íÏR>Oó%þ‚õRœ5¿¢¸nóŸâûÓø:?’/òây©øúQ“›âî‰ëë½½àHíçœÓw¢IϽÞ둽 ÷Óâu0xš×ÛøÂ|«éÝò±ŸlOãÅé~nÈjÁøJóCû Â7«œÖÿ”WÕúöý‡ú>¸½NñÆâÓÿÒøö½~§ÝußÚ=Œ3M¿0>œóÐokûØž)ÖüËpÿjGûia|ÇWÉçÿ>.£/ù¨?íKѺ™>×x¦¼Äì"oêá~ŃVÏpzˆÿv®q‘þ§zÃõToá{MO‰7ç:ù½ü_jG­Ëe=¼t /ªúºŽd—÷ªÜsn~žâÛýS\xµ§ø^KÇ0¯ní¾ÅãÁÒžÆq®OqÁâò­•õ_íl¿·Kíꜛ=W™îÿT¹6¯fÏáÿªŸó´³»§ö›îmõ ®·û¡~µÝ9:N[oZ³/³Ÿpÿèôkv,ã;r¨ßê‡{½×§ÿ“”þšþ7ød|„ð´žã´C} gl¼á>Dk_qTìÛÛ<‡¼1Žó6nºùb—ÄÃSü¬ÄßWÿñx,Î<û.ÂP:.*)>‘<ÌçÄ®[Cûkýïõ¹=í÷þýg¦G½õGûDæWÒø›òŠt‹ÄåZgm‚Ûä¤G»>Œw·âýˆ4îž߶õýÎ}|ï¹Êoý…ûM½>ËMó=áiG.àK-M¿” ýíèê×ø¦áÏ4ÎÂ~IºÿHòZ6OÂGÇþfõ÷ºÕçÓŽ¤wk–'IÑÿu§Ïgd}ª^6ÔŸöù¯z—ïõ.ÿu>æ ¡µq¤vhzØïKR~”æßÄ wÑCøz•{΋¼s}*Gü¾õgÏ»ÈÞR¾–æc{}®—îÃþšírÿéwW÷к^ý§ýм¿jó ëžò¶6g»?[5C|9ýPü±þÄþŽü w+ ÷“Í®åw"_ûošÿÚ{vt¾×{?C¼ŒÇmûéaüiý oP>b¸Y¾·‹ÏOÍN i|4¿/=Ÿ(ξ_'»3^réM8õ”?.HAëVK¬'­‡Å)^„¸Ðô üµûSþü³Ü7 ¼%¾âÒigxhø’ÓõM×Ù⿬/峦ÇtÄ7h]L²Ï!>W=š^‚ã˜?˜ý œsÝxQú£î3½ÆAß-Û¹ÙusäÏÓ} k'qùÔ7ÿòýÏ«Þé{¶ä¯An«oqŸìŽâqO­~ú|=æiœ7\—øßä ~Õ23µ]“cø$|@q€üžâ\Ÿ_rª^MOšGzêÒ/å½Æk†¸ó†:/ö?†¿*£¼3äiu\ZÏòñ½îï‹¿©^r%_Âõ0ÜM×9õ«K_²ÇzNûê`‡µ(ß“õ¥|óœïwýZ¿¿å7éþEµ{Ú‚ï«Ô¢ûuÜ{ÝÊKó &ßž’Ÿ€Þ±>©Ÿîõ.×øÛÐÏ9í7“¼4¾^¥øaøæ½WA<«ß_¶õµù°ýÉO}ã—©œ4%û í,^/ò+á[OýTíÔüÞ+:÷S~hþhñ#忲ŸÙÚ§yÅá™q\Ný<䵆G§^ÊkÉR»Ž£íǧñËæŸðÍÚ ^79i|˜ÆKâ;i^Fù×uÑú ý ëÑ÷ÿm_ˆæÁì“â±á:ÙðéZš<È7Ïyo¯q¤qhß÷ÛÏÕ_ºŸð[øf~ò7Ô×øO¸W壽Ÿ$?"<òÃö{8[‡‡h²)?D?‘~°¿½2ý%þëwÂýE·iü þëxÃ}¶6Þt½B¾R‹ñµÔ>Õ~öÊô†õ?÷iÿí)ß+ÏsO?)³÷bCûkã ýëíõ^¿¾7ú¿áÞÑÛô5¼ò²-¯¼Ãñ¯¶â1‚«M®åˤ/ýïÝÓxiyŽ½ŸûÐnãýÇu_öš)n›¿×qNõ­85Ík ¯-Q}‹âW(ï©Ÿ¦Õ/Ìïãþ˾ⶌïÔ#ý÷ŠÆñí<(/HñœðŽð—ÆKøú­ß Hys-cÞ>ÍK çÕv{ýs¤8UÇ!¿sÅßñX»a>qÚ qì´{ÊKÒ¸1åцiüý¸×_I¿të!9ý¤ùCÊëS¾xC%µïéïQO»p­é#|£Ö?çé>ýëýºÖ/íwîu«WkOú×÷‚ª¼4Î^ç©}C¼ ózã‡à¹.ϯTò;²+‹o„+û]Ïqþ/x¥ãÆÔï)¾Nù˜Œ£Ù]ßë¾ÿ4Ž\íAþé'ä#Uߦÿ0¾žö0îªé¥yæÓýFy/ýècy¹=§u ÿÇýÔ·ø)qBŸ¯X<3#œ¶õ9óøs/Oøæ}T¯îW–y8ãµñ›_®X~"ý½ê8,¯Kq¦Æá”…ø0Χd]¯’âÍs•ÓÚ®<Íöº¯gv!¼«Žã1¯xˆ§>Éî{X?Oñ“ê™Ý’ýïõ.o˜¿œvdo¦ÿÔBë{îÃ|QÊ SNx^í×òvø.ljwcýöK/ùŸVå·—Óý˜*q|0>.ö[û;ç)¿¸Îk4ß×ÿ+غÖy£¼øEÚÉ£ùKùùt_~Š¿Ã8Ñ®OíÉø©é“ÆÁoļÅô5dq=ÍcÃùÏCÊÓ÷º—|áœ9íú%—æ¾ósäT\Ùëö>éc¼°µ y£ñOÕ[q—æÃòCËÍîh|{}ìû1ÿKã}è×U¦×çêý½ÞÓý3±‹s.ùEÜnWLßÇë¼À<6¹SGþNû „÷é~áéæqTˆï´zé¼›ý²õ#ãBûªqa¯{}Sü˜®#ØIÓ[p­Õ7<2û4^EynÊ'í^rǸí~ðÜëœ [½*WùŸáNߎ¼›žC~aûµ4~e|7Õ×ð‚þïi¸sú·üÁxÝ^·ý¤üj,wÊ;ÂvWiç—¡Ÿv„c¶ÞW)O­øðíüOóAÙO¼Šòï4ž¦vf<ÉôòÄv]ø}-êooì9›ñ>‹eÞì~¬ÇÁ±Ÿ{ýÒýÿ4n?äAµèû$–7K¿­?koñ€ú»ÆQÇC~myìt_`èﵘ}Ÿz×ý—INmwÎ%¯lóò“¦­ÛK.ö+8Ú‰Ý!o©þSóú¾ØKo\ÿë>ù -.†ö‡ý„ùO»žúë^õ¡ùÀþ¦ù í]Ñs‹‡yB»N~J~Už§úi\>{ä•ëñ> ñd×)þŠÝÇþbyå5Žt}Ò¼æ£É¿ú·u|:>ËÓ(n_z…þQÇuÎÅ®ª¾vç÷!>!¿ zWÖ{?Àÿ<ѧõ+óŒõM®áaçı}ÍðÕÖËö…Ò¸’Æ Á÷ªWÓ'õo²;ß½nõ²8ã·ášÍ·ñ€‡û)êÏ©]§õ®ó+nïõY¯/QþRï×ña{ó_òç´½ùSÊ/,ÏJóãiÜHãgèקÿÐ/qmÿ êµþ—Ó<ŒÆóP‹ŽOäôßãý¼ßŸî÷¥þ>Ý_óÛ:®Z¯Ù=ÍäEMùE‰7¨GêWñäžëæ²/zSüxúþ-á^ÊCÓ#à¢õ§û2Ä/B¾pä¦xKò‡þÛ‹àY•¯¼Áògˆ÷ç<µGÃåiþgÿKbüíK8ýÒ~…á´ñ“)¿Æᪿ®ƒôSKÇÈ^ê>iºO³×Ûy•«ú >éz…|àèÆ÷SÿÒGxv½®ñpõæùÆB^¦ëSΛ<ÃÓoñÖüá¥_Ó+åâOÔÞ§¸H÷Ó} ñËo5>IÞ‰yCÕ‡x›áf?B¾Ôî“|Âûú;ã1a~yô¢qJÇeû1„»Ïš~—>OçYü‘äœëiÞeýI·z1ï±ü½Þ§ï¼¥|%’]Eí:å«–ÿ=•+û¢8ªwÝßë¶^ºGžñź޻œ[~K¸U¯¿äž~-N<åÏbǧÿtßÕâñ²»W=´Ãñ“Ö.Å{ó“¢÷‡Z„ë¯c«ûµLã÷¸žÅÁÔ_l½Óû¶ßaqƒpa¯Ïý“ÿ4UÚŸëu¼ÆsR>bñ9´—Ön¯÷ë¶ÿ–Æó—Ü',¿'¿~‡¨ö—î7P»4¾F×âA«~\å+nÖvá~ò·¦W˜hþ3ÝgƒüLõ#<»®ÅôWùWÞeß=~Ê+ ?R>¶Çû0ï§~ÒÃðJâjÓ/Ä•¦§ÍÛ¥åEæ×iܱu6>=µYŸ#'_Åú^µñ¨g軆ÏPʧHZüìÏîÇñYü¸öóõs›i>”î—x^Ö‹ôó[§tž W¿œ¯#g¯ûþ‡û+©þqƒ÷÷¨ ~Õîm¿b˜¯žzUî^ïÇпãxPåš¿…~Ý®S¼Hó!áw§ŸZŸ~ï[ï§|yú¼içîqêèCyRÊ—eþO?!¾W½šžÂOšÜ”¯¤qÕòÓÓòRã_4^{î4µ Óc¯·#öK~¾ÿDýÅ~CëV×ßp…ü¡þÏ}·ä¤v vÛê}›ß¦xú%OOíY÷oÿÀù?jrl=íyT½oÿ8·î3Ò¼Ë>„®Í­kÈ[ÍŸ•’^f§¡]Ôûízšo¥þnqFüðȳu6Vy´|ŸgºW þNhÛuÂ_zšò¼)Γìõv¬íÏy¸ïûwjW—ÛxÀŸµ^ºo`ÇÂǬÄûÖ6nÛÿÛëþzê÷)ïµu¾ô ÿ¿µÿÕ¹GNÊã†ùu•ßê™}^„xyîWœ4ÞAq•ô,yE“G﩯 Ü»ô¿ä…ù°á\«·¡ÚŸhü|eídÏuêÇìašÏ•}‡v=´çZ0þ‡ñ(ÅÕÖoºþSy¶o“⊬ áÐÑÇò;™wÍ7é>íCX^ŸÎÃ^ÿ+^]×i> ¾*|Émz“ý€)ÏU^Æ¡#?½?Í›/X\Øëíœô­×[=áXŸâwꟶcóžæ…&?õ_‹o g-Š—„—¿o^Óä§ë—ñRDZ×G=Nû—žú2O­^Ñ£ÞOå* ý¶žÇñÉx )®¥¼ÜðÝäA¼jã¨ãÞëý\â¤ÎkåÕCQ;æíç¦|Iü•ÊØS¿–}Ó“ìžÊc¿Ùëþºákº@‘îÇ‹6ù)O·xSõ²xiã¨çöžVÕï’ÿt¿‚Æe×)_IÇòøs„÷—Z=ù_òËø›ºN¸eyš­—ÇìÐøèõ)ß|9神áæ—Æ{mŸ0åÛ¯ú­å7)ÿ„xwäÐ>™äµÐ¸š¾i¾lë6ä¹M½ÞÏOž÷ó:®Ïý¥z§¸Dö$¿ª×ϹàA-º)€zÔO»n¸AúÀõ#?ô‡´>âNÊ3ë{p)Ï0~Lxî£s²_ûŠCW\…ç‘uíºÙAï/~¯$žæu>«ã[„wôþpˆÃ§]Õžœú¦ï%âíË5½ŒÏ”õiíÉ®S^jþ9¬×ô3¾ üCqñi|¯Åò¸ªWÓ3Ä5å;´Žq!ŽŸ5߀u­òÏ9áa¸Nhw{ÝÖ¯%Ž›eß\ùC¸Ž†ºNÄ·‰O”~Z}·«Í?Ù §ß  xb¼mh?çxÑ9Ÿög~eñªÌk»žêc¸WýÚxlꯄײÿ…öH~m¿2<³£ì¯¾ýd?5Ž_iü4¿4{«íÓß•†ëßê‡ü¶ÊQû7; ó¼oí_õ•u>z¥rBœ‰Çmã3^(¼é×çÑÆ%<²]¦z$wŒ—æçéüïõÏ‘þ?˜ÚÙú_režâçßÚch¯MþtßåÚg«ãª¼+ÅõZßäÏ6¿‘ûµ ü¢Oü¼Ðâ½ñxÂ÷/^z6yŸ”Ÿ¦þj8rÉû¥uÔy¤ûSœãjÕKq€æUxæÄ/¨=ÙÙõCžyô€y­E¿ãdþ&ö¢ú‘Rž™ÆÉéü¥þev*þ{êA^{îOýÖüØøpÚŸÍoš7Öußë¾ÞÐïc¿>Òú1;²ÿ©²ëÂËŽ>„›ý'“âÚIÕ_â“ÆgâƒÕ¨Ÿ¢ÏÑ3µ—é>ŒÕæ‹ãýN駵Ûë¾½ÙIø¼,æOö{ÂG;‡}’Z_ã_è‡)ÏHûG1ÜLí¤þ_uŠ+fß°þGÞ…GÂZÿ{½ô^ï×Ãý³#/ŒG­ÿpݱèuÚïlríyL7,^¥¸hûE!®PQ=¦ñQðûOyP]—½>×yWÌs“gqÍò¡kfßf4Ï©¥~wék|ˆìËæµæs¶.õ;úÆC^^ âÇ.zš¿¼ê·ëésbÁêÏp åNÿ {•ü¤õûÔoa^›|ÛWxŠrC:×÷z×ÇøŒñÝKÞ_KžÜÆ5åKilÏl\!¾ žUn•gïsÈ8Ný4n¾ô‰ÛѼIÞtê“Ê8°½íœÿ¹Õ“ä4=`¾Îýr]ñ$åUn[µ=éaþcógøüí>'àûÑøo?†7†×4Žt^G‹žë—ÞézNóY#·Ö»ôºŽSùéshÂí2ïMÏK/‹ƒU:ÿ„³d§µ_Âo²[7â‘ÖÞâ4É%þDóoyè‰ë?·í4?Þë~<éQžNåÕ‚ã¿ô6¼4kyÝÕ­sÿ GÍ¿ -~_ã§~I¿oÓuóûs=åµÔ®ÎÏ¥¿å-¶ßNû’À°­ã”×’<ò¿ú^!Íù“ñ Ëחuþé»Üfwf?é~zÏÁnÏ}ÃÃÐNO†×)žQ}Âe§éÿÞÉ|¶úçŸîƒÊú§ñ‹p«ÕOãpšïuÛ?®sÙ'PûL÷·^zT=›Þ¤WO-:>Á­¦‡ù'ñTÛÏî[©¿¥x—âHŠé|“ÐúOy;ÙyÊ#d¾mܨ¿ñxÁª_ûký‡|pŠW†wªoºoTý)µû«¾}í:Òï§ÀNê¸ÐnŒ·›=›½Zœªñ6õsÂ[‹ëÆk÷úX슮_rëQæÍö§ÌnNÿ‚¤¼ïyÉ+vJ%õG³_ÔÇü)Äë#×ø˜ÙCµ/Ùÿ²2mo8‰ý¤|2å´¶hü‡äÒïÀú³ÅÕÖ®|ßûܯýïõ~$ž&~ó‡©?ŽÂsÖ£ý/°­#ùÙ^ïG²?ÊäûMŸÚùw÷ày“ñ’Ö¯åM O“3äMŠ×ħR>@vK8³×g}SÿNy¸ñ¼)3Ü4¾ã²sÜ'ܧq§xþOòÚu±O“ÓîW½ì;5»ÜOíÂìœÞs }¨¯áÿ6ñý˜”ï…õZ»Ð.Ú<Ús3ËÏÒý³»ò;¾VìÚpOö ‡ÑÎ7Z½ïTOâk°N­Á×S_æ³­üîç±ú]ºŸ™òZ[¿Tžåm?¦Ï#hÞ§SÞføGy«­¿ð…SøwŒÏ0ŸM^šÇìu_?Å/‰G¯”÷¯ˆë ÷¦rÉßuÝÒë{½]?ã ¤y ýû´³ù!½ìwa¾Œ÷ ?hÿ2Å7±·¦×¾ïïÔ³8šòÔ‡ûcš—ÚøÊw5Oã©î€´z6.âu¦·ùʼn3Gå‘”¿’?\í,Χë(|¢â?­ßšÉûõ­ý^÷z§ûµ}ÊwÓ¼:Å¡á>ð4þ´~Àþµ^Ú^ì?Ž×C¹_ËúûÏ÷s›?Ã=[“K¿oyh—¦ñXøQëÿÒÛì/ß0Î4=¼贓|½ÉÚ/gŠc×1}Žkù!¬S_È_4ž?Ìÿ¬Ýéø áFº_$øT‹®ï^ïGãO¡}Äý›ßîš?=µûðØÆiý¦¼LøCg¨gÓWÞ nõiÝe_÷÷{ÿcý-_‘ý¡ß²“&÷)^oHí„üÊâísÉ|§<©Ê­rPîüôñ~Tê¿d?{ÝË#»¹ê‡yîiƉZŸJºo€þöÝä€}6}Ìîhkžn¼2Íó(/H×Ùxç¥/áì?ؾr-ñ>´]7{ çGíë[~‘æ•Sy–'<õ£ÔîÁnN}‹Ë¢ß¹>ün‘ñO•¯Àÿ˜Ñ{µUŽ®Èoðì é‘âèÓø7åû×üíõYŽÙyª—ñÿƯ~îëÎR>îkŸëæß·ªü¦˜w·vô¿×9¼×‹ëö÷{}Íã(N§qììèiv6ÍÏS¾xìp½7½Â8eÿ[‚öûj—öKõjQëþéOúÊïN=óÓë\ÆYÏ/(.Ûu‰ÿO€Ÿ~1ïJñDìæ©ží>áDµÁõ*ï[œ£ù:ýÔóKÏ0.ÄëWå o©úé÷@«|G“Ê?íÀžªÜ6ò£‚7y¬¬ê“ڣś½îë™]Ò~´­óÃü8æ“´ÿGó`ûÕ¶þaÞ¸eq/õƒŸö“±_‰Ïd/­}ê¤×^ûÓ¼‘ì0µÇtâòú}ê”o“Þ´^¶oh¼ÕâV:ï0oMÏ4. ^¹†ÄûR&¿|ÉiíÂy·þR¼8Gú€)±|'µß½~w|dç&7ÌSkyŒŸa\hýî ž)ÎR½º/<ÅÁ *1þíõÞNô9õ¦ñÁâ^ó·Ÿr›¾Sù„[Sÿ5¼¹gÿé»'ؾíOüÜןƩ§ñ­Îß5ÃAÂKãgÄ/wYþL|%Í^çµå)0>!ýT}ιý¯ÅÍý~½³‡Vò¶sn‡ÙýOk<Ü뻢|+µGòû¡=¢†—´O¸×Çq >¤û£ä÷0_TÔÞŒ—À|£<ŠGéþoê—SùUn}¿Nxq¯éoü"ÄãÕí:ä5ªÿ¥Ç5/öûŽ ÷§ücß÷”‡ýù{½Ÿ×ñØwpÓÿ¯¬ýìÒNxkÓüò’‹û»?÷í¦ñu˜·7ýe]O}[×Ðßð9 ]ŸâYŠ÷0Ϋ¤x…zÕÿ%‘u>õÊÿT6}ÄîNýê7—|›ÇâOG^GÒxQí£îïQbx!¿K@½É/$ßÀüÑø¥ämt}Ì[-nšÔú{Ý^?ý…öÒêOý/åQ†ßdôDš7Û~­·ÉKã½áö4.Mµ½áNõã_Âýq¼4û2g|ð­õ#ûLµ=æKä$Oæƒâjë/ä]:?†+Ó¼ì´é?ÅÏ+n¦|îªOö/yø9ŸòZš/³‰'µ ÿ>v5ùSþkû †Kô¼ÂìEâ^Óώ›<àe­^gÓüÔÚKœG¹)î¤ùîÓýÃÓ£òÜt_¦öcöLüâukŸêõKüáôOq\x‡Öû×ßI†ñrŒÆ›ŸÚ½ÉOùéÆÑ#w¯û~^×ãxië{µƒ8R‹åAW‡ß[O÷ßN}Á£vÝòcÂÊ¿á÷­m<µß½>÷kv“êúyÓ›ð—ðRpñÈ5< |æ-˜/…ü(–òýÿ£ëþÃþ[4/µ˃H/‹Û)ß'¾avdþ›î¿ÐüR¿{Ý×3M÷ m<ÆÛd~k™ÆÕû’òYåk†kÄGȾh=.½ÓõóšøÿîÌ.9¯}ô£}_ÁöãL°ãÖþÒÏâ„ázŠt|éqäU½Èߊ]9¶lñìýÈ7{Iã‘ísÓømžR~`¼:ÄÃZÔžoªˇµ>Œ³ê×äHÞs®§ù ­Ç^ŸÛ‘ߦûøŸ¦úÛ>ðk<ÄGj‰ãÙ?Øù‘c8–Æ_8V}[¿ô¿{çá9k•Î®B¿f畦¸"Ï!ì9Ú饇ài»žòu[‡)\A{·}/Á5|æ+‚sØnø,Un['ÈcZÿæ§f·a¼>熵ßú]Y‡6>Ãe³7š¿a¾Ùú·|ê’c¼Ÿx‰­›õâyW-ªï«ÿS_æ{<Ÿ)0?1{ yb‹'2Æ»¨?*hÞöº×ôÇþª½‰½´öu>‹Œ³×u¸ú±xcߢù¬ý¼6y×ý0hq‚Š­/êSõ¶}ŸÂÏZÿÆÌßÉ~ŒW™þ)Õcú>,Ὤ'òÁ½ÞÏ©ßôk­šwáoW±¼ ^Wcñ‰Úíõ.?ŒÆ;Îuz¿ÒìƒÖ‹úêoãŠy¥ýO«w¯¨Ø~K¼mç‚[§_XצWš'§ßë·õ#?£}Ž}߯ڑáõKî¸}8Î#7µÃÐ/š|Z×O·ý±—Ú¯âÈt>)~§~kñÀp|¯[9W‰ñ"åû¶_Gþf¼Øì"õ_Û§Kó³ï½ÞÏ O¯z•Ó:¥rÓýñ÷*õ±÷ŽÒß+€=‘>doXßìÆâÎ^÷òèútŒw“>uÞä»ôm|bˆ—¦ïK¿ÖŸÅÁÁªG“_û5| ñþÈ{É·øÇ•”¯×ÿMNíÄâÙÇ^‘üS?å !~W}µŸtßUÖ?Õ»õkù¦å ŸjÑ|\ò:Í[)NÚ¸Óy·|Ýü(ÌÛjQ›æ)©¿Ñxè}Ž”§T¹ò^}.XxH-ŠÓ$×ò3Ã)ã ¤Çkê/iü¡qÁÿùÃ÷äš^2?µ Ž¥ùî¯ ?Z?¶Ž¤_:O)®Ó¸¦û6†·¡Ý?þ_áKñ¸_R¾þp}OÿäðFk'vÑúÛë³¾a>LùQëOòÊZoú¿©¸~{}nÆmÔ7ÝIùñ ¯Ùµù ÄZ”·¤ñ‰ðؾ’®[ºOBøA<„öÓk~Bϧ|!䟵èºK|­ãHó¹¦Ù£à9Ž']Ç·éhón~jñÎÖ%k·×¬þS;LÇk¼€ä¼Æñ5_5¼¬ý<äu<ñº×þ O§|æ[ã¨Ùµéã<õë>°ì{h~zÉ1œñp‡—Ë÷ÏuãU4¿{}¾?å;ÂCT°“SÏÞ»Ü+Óï)˜â¨á ñM¸ßú»ê—þN½á~íiGóúeÊpÿÍx ø{l·aþ}®‡¿§ëØ?ñ£”oÿ0¹á~@-ºh~0´CƒšÞö\m¯Ûþšœ4ÎC~¤ùPÕƒö)À>ªþÊ7hží÷¢ê®ŸÚù^ŸÇîjœ–ëM¾éÿÒ;Þ/'¶¸2Ý— ×5Æ[ù¾ÁUŒçÖòÔ~¨þ ý…üKñÖ©écöI÷÷ºÕ哾—ó‹”?yGò«áþn-:ov¼ô5|7| ÷eU_{ß×ü#ä[t¿éâ’éµ×ûuá‹fg¨gj§ÃqÔò¸ß!ÿ;ýíu{žò€TO*é÷sZÓïǤüÇâ±äÍÖo»oñm¯w9!ÿ¥þ¿jüŸòš7Û'’ýÎZp^BÞAzëï†q»É§ù0~añ?=7\¡õ'¾cíc;4¼Þ]K‹ß×1Åßú?I¶O~~î×þÓu3>BóMûMézZÞ/~rê¥qÔò*‰ûU¯&ÇæÝâ­á*µ§qÓ÷%>¥|‡Ê¿ï#ÿDrOýú»éÚ>Í3Ó¼Ãò/Û0}$þ·súÝxŠ§`‡µ?Œ{ÝëEò_õO½é~Mº~i¼1^î· ¾{½ŸÛïØLÿ”wÔ~‡üYñÀp‘ðvˆkÔ¯òéú‡óÜúIyí[„zù¶¿’î»Õ<Çøsj/d×{}¬ßú¡ù›âAm=^úëüÖëô»×çõhûlSüùz-êß4Ÿ7̦öqõ'qOqù%§^¯ÛŸý²Ÿw}äÿ›•7T¹Õj<»®××Ùx}¯ûç|ÊSÓÄñÖ~ÿdüTš\ú½Œñ†”ïËsšs~_þ”_ÄzÊúÆûÆOõ®ó`û#†;öÿGô~ÙÝ^ïý]ëT®£~6f϶žás8Ò3æ‹dG´¯a¼ExRÓÓxsyÞGýœëfwCÿjr$žœú…‡«\“o<…Ö5Œ«oÚõëhïg¦¼Ùx7à.é;þß—º¯e¼!åá)¾‡ñ-î'ÝßÝë£WÏ}Âeáó,ÿç^žå#4éó,Ã3òsã1)Ÿ ù}ÈÇ›þ¤_øœ¹É ù âñåoðÝFë§ê§üÃò»tÝöº—cñÅxSÊ‹-ÞÂïõOýô÷bés¹ÔþÚÍØß ¿§vëÞÆwÝOñèá:WyMâq’o§Ï=wU¾FóÝäÏ­óOóhq"õËp>TÎ¥/Ù1ÙaÚñÓ«³“пO{‹_䇗>E¯4×’â€Ö'>`v@õ÷z?'6}Oë9—ê!¾…<ñÃpÆâMõð‡Zìý/ÔÇðÎì$ÄõªghþeÒ¸xÚ Âu·¼ìõ%»\P»!ÜKßÿ ñý>)o¢ù¨ýˆÿö·[½ŸjIñ»âËi_ÎMn«GëâeÚ¯ÅåÖ~Êç¯u-ŒÃU~“cü3åmö;ÚÇyÊi¿â:jœÿ)úÿÜ÷G~Î{kWú©úsÛ¯Ý붽úi½_åXü¹MNéíøZ-º>Ãç (ÿÒ—æÆîÛë:Ðø.½R~òçÇÏåì<ä_U?݇JŸ?œsÙßRÞÎ7Ã}ï¦OÊŸ«Ç%ÿ1y†–„ócö×ô&¿Ÿ§R}£S¿=›„£7 wc}iÞwù&úe¸hòÐþÀïj!\m÷Ãøíw GQ/°×SÖýܸ_Ùô°8 ¸Ñô8ü}”KejŠ_f7f‡SþEí¾Ä#m÷ПãçÓý Wyn}äìõY~º?m8dÏuÌ ?‰×MŸ£ ¯%ùçú^÷òé¹Öp_­çÕ_ÕëœÓ¾}¸¯–òÐZðzÁ'Ô{Êo÷ºoòµË:¦ùð }ß~ÿ@<½ÈU=Îõ«~ý¿óCÃ!lýŠß£ži>dû%i<3?HqˆòãM4î4ÎÐýò{c±©]ýªô»ŸúÜÑðæã¥o-&§]š?Éûk8´NÆKW¸ó†½>‡æ“ò®ëhþ)ùnŠ[T¿Ž§žëºo0œ ë½özGWÈÏý¯µúE®áO•§<œîÛ>Ü¿ù×xÒu y—Ÿë†ÿ¯Ó÷ª(—æAþöÈ·u¢÷ i]HN½oþ”ÆË*×pž/þäÐøžŽƒôOý)}Þ'ñÒ쥊?1{ÉMã ¬Z‡V/µo-£ïM<åÉiûhã”úˆ;tìÄìõºNûÖé~Fʪ|‰£ÈÓÄ¿O=ð£z¿]7¿Iówâb—Gú½I‰ËMÿ)=›<ó£_ÌÿÊó6Ò»é÷ú^ΘŸÒºLyè×ô·|Ùüâh­ßÚC}ê_qúéþ9Ä™4j÷ASOâR=WùÒ[í]ö]«~†§­¾Øy-é~!ê'x‡ýX7 îÕ¢ý†ëqäÑúîußßëúiŸŽÿ’7ÅíôÜì3Õ/µÒâhŸñnÃ:ÒwSÒ8xãKq²êG¸iûÅWÎý]ä›}R>ó^Ï›ß]r 'Ÿ[ÿÀÃO=›'²‰Ó¨¯ñóñ0¯Ð÷Çl>ëû£éú OoíÍNlÿ@x,êkqJp¶ÉMùhÈSÚxÌoRü0<˜‡4=ÂøGòзyH“küÞxNêç©N󫮟¯èç½õþÿ^OùÍt=¾Å™á<Ÿ~…_´~e>Tî”ïP>òpŸêÜ'}m¼Â§ªü8>†yGšo)~‘~{}OoÌÞmÞˆ¤|øaüÒ~Èe½[{ÝÊ9÷C^ëú•Ô°ý—ëQûKykŒCbŸúÞ½Øá—-¼ú%}±ÿtÞÒ}FhßúOó²û½î¯NȾf-ŠgµóÚ/óú)$;9ú q@ýc¯·q¶~H~ýþY:óχqQí:䫨Ç^ŸÛSÞ`ywõ ÓÆW¿çev&¸óã?_æSc|5Þ-ërÎÉï¦þÞ¯%ÆSòg’+ï“ÐúüÖ¾Þ'œ.õÏõ0.Çx’¶K둧va¸îÓûµ_û­tÏŒïa¼¨MóQåÑ÷ÙæE ×…ÏŸþê|ïu?®4¿}cy4¯é¾±ð-”k8Lù‚áðÙsn¸”æ;OóA‹{Ý·+×kIí#‡Gnˆû­~¬W‹cé÷'I>ÅåÃw×Ûù¹?œ§ÇëjüÖìRü¾]§|Ðò*·ªO•k~‘æ_)#û1HyÑu´®¿êŸs™Ç&Öƒê!O!<«ú^Ú¼Ÿÿ9)í /mÿ™ú?mã˜ú«Ä“øÜøñ…zNÿ»ùCÕ'ݯÕýœ” óóÓnjïƯÍnlý÷ºooq$åeßÖ“yÆzÆÃÌ/­±OWº_Lq&Ì›\šø_®¦ýÏXÈ'›^!§óä½Þû™úoºo!qHã Íçt?×Ö…Æo8`zÈw„¯2]œo°¯¦ï.z‘½\õh×Î9ÅmËOWè:Ìw•?G±}vÛgNy ɵcÈ÷ï‰OVœÛëv<õük;ùþé—æç¥o¬OÈÏÇ<óØçÏ»Ü4ï ãL-©ý5}RÞ"ïË‘>êŸC;©z5yd_Æ#¨Ý^ïLJU='Èßí;)î ÷›N½4îÚ¼ÿ¾pGÆyô±x$q¥‹«ÕŸ5ß²óp_Cù‰í«ìõÞn˜Oœë¶i¸ÕúOãdú]Â3Ùç‰ù­ñ¥°ýÑÃð xõiÿºNã:×Ã}*êçdw—Þ×ÑüåU¯õ[û¡ÿá¥|Äx^Å¥ô½¥Kþëûñ­¿ëüúžÄuÿ·Úî_çõF€´qyEîÕîÒë:’\˜‡«(¾AþQÛŸó:þëhóeñŒp´Ê/秾á¹å»ÂO?¢GÓßðê’â•8Zþd¸æíÕž÷Tž%û/fǧÌ?ÉkòÍÂq™\}> yf-1Ï°ùíå¥ó`øDûøâ¯Óõ±ñÕö4ŽVxú ¬õ§<ØÖkÊKmþÒõ|š·¤×ë¼îu[ïŒOpäÔ³ñ y^š§ŽóãÂï›Þ/k1ÿkõ„·œë{½]lwr<ýÙþÙ3µ»ô·u”øßñ£ÈÆù€÷àkiãš—Y~Gû0¶.áúžñà~â^ÇÑä¾–qª>`_Uî9¼"ûkím-ÏHù7é!x¦ómxq÷ú¨Ç‘g~ üQãª=g¡y${ÚAjÿô¿¡Ð®ê×ôEþüs?š›?×^ïíÌC>©øOñ4õ«Ï5ýöúçXñÈö§xhy–ñ«”LqxªWŠ;)ï qí•Õ·¸˜òkŠÇ4¾—~ŠïÖ_Šó¿ÍþÍžR¼”õJq ¿_å¤8/|©ÔkšOLãôÓÆSñHx`koë)ûPq¾œâ#ÅOʈ§ yF«~pÎe~ÈžjÁu´üJöPNŠUN}ïÖò@º/ñ\÷ERž0Яµ#þüùÓákëþúS1;¥y|M‹«Õ³¼Úâ¢Åñ½n¯£|ÁÔ/ͧö/ö~ÚO¿×vfú¢ž„’ci>òœxŸ‘ÆUÿ_#Üç<òéÿ9Â8aû˜µÞ9§¸XòÑØÿ¾ä™$·¶GýC¾ØÚS|ØëýøíþñSÞdã·z€+µŒ÷9l½†ùxêï­ß½é¥8a㾡öAyÞ·x)ÇÓ>å6o[{³'ÉÛÎy8_1ŸJí±Êßë^?³gz^aý¤8xÕ·¸Mý¥¸#~^ ùAëÇpä¥o•ÓÆ÷ª¯‹¬êivoù¼÷Ðä™_§ö0åÓOñ›î ïhã{ÀúfO0/M=×°¼¼Ž›¾sþbã¢zçœìŒÖKþÇWãÍG±GÔWæ³–8¾ý¿É‘ï×µúÆçÂ}Ý7ëDë¹a|S?5IùLº_Iz¦ñ~Šƒå=Õ£àRÓ»öwÃö»H/âE†W€—Mo³GY¯*?Ž7á:V=[`?­^ýŽ²»¬õ‹¿·Jù¥á^˜¯<Ýïn÷Sž›Ú/øöoëaùm]úœ<Åm:·}ˆ0Q¿ç:ÿ©Ÿ¥üGÖ¹é|ñn¯{ùö¢!¾¢Ý§ÿ_–¾Ï<[ÆC§ñÐæ!ýN™õŸâ’ñ š½îåœvêG!.Öûç<ý½JÊSÓ¸*ã¨eÊ÷H/”¿×­ü&Gò0ëWñØpPì¤öÎ÷zoo¸}Õ§øÝ¿8õIoâÕ4ßæ‡)>¼5}Ó}-‹‡ÂOëy·žÆáëz}>ô-1»¤÷ERüµù”ç ˆ÷ð;©xëý½²zkÿá÷ÌëyÌÓ_úR!ühý¥üÀüˆüÏxà0ê™âÙ㥗ñHû½¼à{Õÿœ¿ú?çwÒý]ãÕ¯~5¾Mó ÃãW 'S¼´|oŠÄh_v¿_o㻩%Ý'>õÁ°ÿ)žÑ¼‘¿ õ“¼;æ÷aÞ†ïo¤ñ,å'Šg?÷õSüµvô¿µþõèçŒ/³/ó×½îï_×iþ‡<>ŽCôçž®—­S˜êüÛ¼/©õêÿ >ZQ¿ qÒäÖëçÜò.™·Ö_ó¶Kë9´Wlo¸iöç§?ˆ{µèºÒxÄ?[=ÙG®ú¨Ü½îõ ž3×À»Q_Û'§v×8R¦ñÑw¶C­ã‹ã€ÅÍ°¿ZtÞÌŸ,^к™‚=›þªßðÿ5j½s¾?Ë9×…7Öòxþ„Žy¢­'Õß+kŸò?áeum\Æm½ÌÎ)¾YœÚë^N½^ìvêÿ6nį4/&>`qÅæÅþŸfÈ3q^è;)xÊGÈŽC^t®óX^ͧ-~‰Ÿâw o©Ÿv¿êiyíCÕãu?ŒïM_óÓÓx”ì_Õúç\~Gxêÿ9÷‰·¿ q 穾$öK×QϽ>ËŸ>W1|&½„_¶q¥ómó0Û!?húãf—¦öoúYܣݘ¿Ð>êu¤¼ÄöÓ}ÀǦ¯|çoS»1ÿ6 ÿOÛSg 6½É®7Ò}uÒû%¿ö§ò-žÒóÆk<4/õ½YÛïNy|zžú;ÕKõLñOæïès]îÃöf¿Óø΃öoù©7Ý÷{®¥óúõÞÏ.ç‚GMþÕÞâmÊ/ɾB^ÜôžòiZ³CÂ]áá±¾{½ŸO÷…-ï{¯çi;\çk<4ß×ý<>Zœ6þhëNv-q´ê§é ¸rêÑÿb¤~høgû¾)O£ñ|ÿ„¿éû5æ_×Ѿ3ÜÇhz=~‡qãæ^#½I?*†ŸWè=%’³×Ûy»ŸîW}–çšµØú6}Œoìu¯ù—ÅgÃu‹/æi^œòë×ÿáùä'é¼½…Öû¨Í=Òûpiœ·õ(×k1mõÒ|Åâ<éòn[¿Z”îP<¿Ž¤ïuŸúyÝ?ú<Íë ça¾k™Êmz‘=¤ÿKxŸâ¨ð:›qœ®Ç¯Ž÷»Ò~jý½Þû Ç¡õÓø[ú?råý’V_pœÎ›š¿]ô1>sÕO×ÅpÓâœäÕg|S¼ùJ“?ÌÓÆxnó”ÆŸ”ŸZ>ž£þÕΦvcþò1*èÏ–w˜}¤ùÍØïéwŠKÓï’ãþÑ‹ä^í¯#í·Ñ|'?°ý.°»#×ú›î{Ù8i^ëï"žÆÿÆ××I‰ñÙxç^÷zy`k—òkŠ/½ÚuóCã/Ãøò¢Zb¿¡ù#¥q]÷ÿN?`7m$×ôœú­ñ ÚI×±ìûjÿ6Îoy¾äKq<1;·øaû‚'§ÍŸñ÷oÇæAMO[oØOA9ä?¿ÄO«^Øω³ëŸã^÷ò…Ÿ¹6/•Ï.Mã—ùE:ï$§êý”ÿÅûÖÀOOµ½Ç>ÍCˆ§<Éâñ‘ÛäÙæ)–kxò”Ó~¯÷#å4éx%îÄß ©vPÚ¹S>(yž§ñ2éz˜]ìuß/]§ýý—¡þÄšý|î_äó½2½É~iÞèwOpô³TÏZÈÏ}³‹ãé>ð\³¿sx–íË yê‘kã»Æú…öc|\ƃò.=%ßE<£q†ú½¦ûÃÇŒ'†ùÉчìLþOEÛ“iØëVïôókóãÔ~Ó8kvúIÑ¿ÕOyX‡KOã«f÷)ž Ž«¼Ô_àûç<´÷tÝN}âñ{}l¿3»&~±ËõÚ?ø]ë7ÅÓKþ9d/†‚¿Gý ùØe¬·ñ³!ïir¦xXÇe~+þ0Žë†#¶êóž½>Ž'æÏ鸦û4bïU¯¦Ï4Žíu//õ·ÔoÓý‹Ÿ) 8ñFó Âßi?!O<íöz?7û4ýSÿ­úÚÿµŠèot¯ÏrÓ¼Îâ½íoLýÒøñ0ñ;’×ú/þR‹®»ÙĽ&ŸÖé¥Wºn16~ÿí~šÅéÔ/Òù&?"œoùåúØÎüTõãêÑÏð¨êI<ʞ露*< Õ³}³”Ÿ|ëS¹CÜ¿J¬oÈ_47âÓ4›ò ç^·ý¡Ámô'ã»S¼³ý&É£è:éOã8× —Ò¸,öx®[|±u'|!ý÷úØNõùÊôwãsã3ÔïUŸì'„+Æ+iÝ@ߦŸµKqÃìëËøköúôyŸ”oO1ÜIùšÍÕ\oúÑüW\øí¸úO•cûŸò•4®OyOèçºñJø~L“³×m½ØŸ)^=Ö½~©\òÇO={þI<žðYxFëâË©7µ‹·Æ÷ëûE¯Ø/ë~’ø[{Âpôkí§|Zâ,òlÃ]ã×8DïÖß0®Ynú¥óséoq­ñ·õY/â­¯ _ŒÏLÇ•î3¤<&å}†[†dïu}é<ÅÅžë†Ï—×1Íï¦÷§xb~[æéÜ'^—ò΂ãÔ>ŽËÃý(ìü/̯•gX”ç „+µý9'ÿ u5~â‹á|Ê7ÅžS{Iù™àq«g|6µ—Ê®£íßÒïœ+oyÉkú“ÿP¿$çÒ7äµ}».ß!¶unõ‡øuî¾\Ïçöz—WÏ!î4y†ÓƇ/}B¿<òK»ªo-cŸÆ7ÂOó{êßÞo2¹†¿†§€+ç|¯ûzägâ§}ÊÃBܳõãœí‡Ã9‹ô£úÊw÷º¿/ø^ëŸs±ìç¥G{ÿù:Òï!CóÄwÕÿ¡’8‰ò%žá< .9ߥ““æ5C<ˆq,ÄÑÓNö›jIã]Û·1þ’òàxßÆo㵸 ÏPÿô¹ËS; >˜æÀ¿Z?)ŽÊük?ÓàÏ­ßÐÞ빎›òð½nõ#ýÞ”óÖÎþÏøiœ1>lv½×mýø½­éüÏHý¶ò š¿ ÷ŸòH‹÷WhÿâfÑ·É1~BþdqøeÓoš?ʾ¦Úqšç‘ÞÔ®¾™îÓHž€v²×ýu‹[)ß²ù7žÛægÝߧÿ5MùÄ—ñÖ³êÑäZüHùáíǵþ-¾ N6ytþ/]ø–Æ]Ù‡nzLù øéÓ®[| íõ^ÕÚ¿î㸧߇¶ñYžkóZëáñÊÛl<¯Ò8.q§‹£çœæŸìp¨_k~Ðô$;¶8Oþd|!åk)…ç08¾_Ѹj½iž€zPýt\¶ßGÇÒo¼/Aü¨òZë?å3—¼©?ˆ`=³W‰_©ª…ú6ya¼Žûœ:ç©‚Ñ8j‰ù–å]–÷Zœ—yS}žZ{ÛW$½öº¯—ÆÓ¡žç|ºÿ¼§œwãaC¿hýZ»—¾Æ÷›\‰§t]y©å)!Rü&ÿ3¿ çåÿŒqâi>W{ÝŽGý‰Þ—5;œæ)¯ºÆò_µ;ËÉÞÃ}“Sj‡°¾MÏï6=Ò8šú Ô«ýžsyŽó<‰Ïfק]÷Ãø{ÚÑÿ({®z4½lßõáþP»ânmW‹â2ÇxwºhûÿÆR|1|3ÞBö¹‹þâw¦×8®¤ñ×ðÎæa¯÷v¿´¯Pë#_¯Ç¼Ãp‚ô”<ç]ÞÖõ6»4|ƹº¯ðÔÏÉ®¦ë‘>_˜òªpÞt|ÖNòЪOÓë¥?µ7<Àú6oÓxžÚeõŸ4ï"¾^íñ’K~sâÏOÖoê/b7G.Ì빟ú‹áˆñ=±ÿZO÷÷¦óÎO-Ì×½>a>qÎ÷ú|ßâ7í[<ô»#Çât˜ß4y0~]wµ«}Š7„çÐxP½÷:Äy*m|ò~Fgšüý’Kûèaþ¯øÑÑ/}n6å;{}Ô“ú?×Å~Z=óCøžLÓƒæ;“)?;ööó^ÏðâfÕçœK½j÷tå×õOóP‰Mÿ2'µ¾ý¯àUŸÆGóQïÃ÷YÎyÊŸíûI‚µ¿Ö?á²ñ¨½Þ°¿Òú»ên§ù¯á±áºáÍCÞ‡ãI×%|£~hqÜæIx~-ñzÖñ¥¿× ýáÈ%¿#9å}í&Oxx«/ÿ›Gq·É7þüÐN-=Láíã/(õÚýtÝwN»ÔRœ°xIvî·4=É®÷z?¤ñ\íC»©%öG³s³ ‰ûÈÛÒ¸]õ³ß·Y~òþ6NñÇñ~ðÓþW|w¶É­ß/©z\òÍ.¯zd'å~á\š—=Í/Ìž$N“þè×Óy ñŠÝØú¶zå¾æÍ6~ã 6¯yÑ4®·öuÞè½m²›½îåÙ~\jÿOy$Íû4. oÆû”w¤<3mW×k¯·cG¼ÿDñØâ¦ñ0ó[=ó(ãõ:íçZܻڇ8¢8nøhr¨¿ó»ùŸ{ý%Îáü¾êŸzñpºÏ£qÃx±|Ÿ'Æ'á=µÿsnqe˜Çè1å‡õþ^ïç†dgôûJÁÅØÏ둾ÏjëlûŠÃx¤|y¯÷ö’·¡³›§|Ðâ±Ù±­×ôy†ù÷Ãqûø=å1jw)nš|‹Ïö>\Èoê¹Ú¸OÚäZ>Aùšì3Æy£ØÑ7µ ³³a>ýÎvÊkÒëu¿Ñžó½LŸ7Õþ‰O‹ßÙ8Ò<óq»úÆ»sÝì2ÜgoòÒu€¸WåÇñhê7$÷¥G*·éKëNÏõjÄ?ÂxYK<_OÒ|š®Óz ÷Õ¾l?y¯ûñX‡õB=S~9|Ðì¹õgøòÙ1OÙë£ÞMÏTnhWG¾ågOãjÊÿÉN-Nù7ÍkÆùÿ^Y{ÒãÕ¾µkéÿÔ³q“]_îwéýK[W™ßª•x†Ï=ª|êÏâCÓÇâEz}ê×&7ÅOñ£Zöú<.Û§³y5'^ ýœú—œp×í%õþÒøÖu$œ|nõC^û}˜g¹–?ÍKŸò›'ñçZÒû*?Ý.~arUޔ׉þqü%¿¨û†+i<1|¡¸Nã4Ü{kz^X^šÆy³‡—\Ò¿é+ã=õi_*sö?P„ õû¾×qšÏXü-|ÞÃ:z o¨¥‡üDæõÈ»ô“ø ïÝ=Ì—°?ø?kµÛ×°xiq{ƒ<‹¤áù¿ù±Ø[«W÷S·çÏ{½_OãðÔÈ+›¾’w4}Ò¸Zçݾ‹œÆ©é~·Äû£Gêw6/ï«|Ï4NÈz4=ÃüÈüüÈMy>øÓâ—Ø Êò;³“Ó‡Ægø,üõœR¾ y Žc¯{½¯ëßÚ½Ä ŒË’ê|§yñÁ³Ï¦wºŽá¾Â‘oöcólû@)žÙúž>Ìã,îÒ9ͧmöz?J÷+îõY~ŠiþN|›ôµ}ƒ”¯¥<%Íol?{ï»þÜëmvgãÛë­ÞÑKòN+È+Åß°Þt\Óx\æCõHí%ôãZÔŽÃ}NºNxsêƒ=£\Ú×x×[ø‚·GŽáªðèSú7þƃÚOÕ¿ék¼ö¿Å¯Z”ß}ëw„ÂW›~ð(Cí®úKÈK1ÞÚw2h}¦ñOæ÷è#÷[½¡*~T}Óùhz[þ#¼¥á¡}7æÙö©mÌü˜üâÕ_ÓCâÊûûÏÛû–Ï4½%Î×úMOË—ÅO°žÍ§àg«G<4W¶ï—òàúû~ûŽ|š7“Ÿ _oúñû3Þ!8Þô"üKý9Åy²£4>îõ¹¾k¸Oöm>wŒ€KµÐüµz{½Ÿ>lû†ºî4ž—ž­ÝuÝðÕÖ[ðŽôPù¶Î©¿Ôç Ç¹oß52žŽ‡ÊØßÓ}Tðk¬gë-ëA%ŽÏÀ·Zý‡yʱõ4{Ú5IoÔ?äÝŸˆŸNù“ü_LÅ»n|Gì¨éCó´×½¾µžü±êÑô¥øm¼áÒ/µËt½ÍŸì9ÀÐ^O;óŸª?ì j¼¤y·}ë³/´>ŽGy>µ»ô?~õs/Ïò¯ª>çÜÖÏÖ•~çTÇ)qî©~µŒãºÅe›_›·4>Àý6®§z„8ÏÓ^ÿŸþ!õ;å?4¯–ß}šÆköºoOþŸŽËü<Í/«V< ù^Œeÿ¼ËpÍì0œ¿Ö¯ÍãÔ¾Œ_…¼Dëïõ~òcóƈØÿ¿©ã¢ç©>¡¿b;Ù8íÌ®k?{½w4yæ‡áºi\5û¦ùÝës;ð·Ó¯àYǯŸ{ù&×æ‰ø_šG‰¹{½C<ÄqÑ:‘¾W¿b[½—¼ZôyQÈÇZÓ<^ê5}Á¾O=ëW쿧é;Ãü7þ=+Ùí/W¹!NÄzµñ_5¿µc[Æ+꼆¿Ó>÷¯v´/2Ì·Ñ©ŸÊÓ|€¾û"Ï N½ÔÎiÝ˼ŸöÀ3c?žæqÆ+S?©øP×Sö%ŽÜSÿçýÜô™>§âpl¯;Ô#õˆ×Óß_ÇùD¨g-„›ÚO­7µï“Ï­L¯”—˜T½ ¿%Nžë`×6ŽÖ>Å‹KŠÆ×j=²ç”¦ybÈ ÑoÌïR09–7¥¼!Å Áq•÷t¿œìÞòê§×iý%Çë{Ý·7¼¿ÚÑý‡ù¯íœë´þ–×\z[¾qÅñ«>ù¯áVˆë­Ý·ü×Ú¿ÆUû;çT/φ‚KT?Þ¯‚þuëÿM_òdßIqìºNßï;>rçÒ}Më—â[jwÔïKÞ9ÿ‰y7üOÓ©Æ_’_¯7ý,nÓº.<Å ÃÝß«¼½>׿îC½¦wÊ/7¦ñ“ö•)Þž­ý®€Ÿµ~öº­ê¥ûðäÿÓý?Šß)îѱúoÊó¦øFùñòço÷w«ü½ÞÓyOó^òƒu~Ì(ŽI»SßüßÚÙïÓø3Éš¾aÜW{˜®ìQÁçÇ)Oy}È[¶ú4/ùæ7MîÕÎæ­ÔKqî´Oùùµ'ͧ÷ºogþ@qØÞO q±éÎú+écrŒoØxöú¨g:o¢Ç‘[û§ßQ›ü”/½ú;ýÛó K¿)O&œ%|¸ú‘qW9ç<ôkµ/ã»aÜyúœ'^Ç0^›=žvuýéÿyÍ¿êsãsOySš—„¼›Êø¹ͯÕO×EâØx½ÀÎ9Èiú¥ë*¼º–)ÿR¿Hã”ÍÛ^ïG‹Ã†Û„si¤õLýÈøl:¿C»kõöúÜïÐÿìzë‡òWXÇVÏþ¿ƒÆqÕ^˜âXÚ¾ŒËéü ïoý¥û(†/ÃüWñaÊóR|x˜¯Õótå¤ã¼ô7ÜOý^âŽÚUÊg‡~÷Ó}«i¾Î_ú«}Òþšä›ÊÓ}É“Ÿ¬Ïíèý.ãi>˜Ú…ÅqòCãó„‹Pÿ*M/øÝv«_û¡¸™ò":Öu5û4¼¯G’O¼ÖïÔKý;µÓßò’k|uœä·Ðÿ¹Où³ð<7ÿÚë^OÀ•&—â”|W˜ú¡ßEиH¾®{•_÷…R/zÕBvPõ>ç´—¤á™ì{W}è{(º_F8h¼5Ý7y¼­OÇÁŸÏ÷ mœµþtÿ‚ö«\Òçªgÿ{êgóZõKñÞìÕöC{Ñ|Îpo¯Žõ_ÈžÍNdZ}™ÇªñpoÇj܃8Jr”’U¿Hõ5Þæ1¯\T<4|3ž¼×û9}/†ò”]ê[Þ þbõlýO=§ñ6Zǽ>÷ÿ0¾Ä|Sâ÷‘wéIëòÿªé{®§x ø†rŒO¯#<¼A}®öÓ<¡ÚŸÙešç ¿Jí¦­Oç¹nããòû¿q['‹é9ñ¼½>ë?ÝW²}ãëdŸljQ?Eþ©o|Òpb¸/ó4«g<<ä³´žç<¬ã†#êm¸XçüÙüt¯{yÇoÖçñMבâXš¿U}¯óŠ;éøi¥ÝÑ'—OÒñKDEïÃ<´û²ž¤o¼_ õ›\“Sí{ß(Ï óâ8ŽÙüÙý”ÿ=Õ×ø¿ñ£½þ9Òww¦|)œ?Œc©üKoÃótÃ}®£gÕ樂ÿ/69U‘Ûä [ï÷¯#ðÅÚÓ‡æÏâ•Ùð%£„/¥^-¶_Ï•_¤q9Ý·!?3^CüxE˜QQ>JyJúÿkâ÷MÁ»V_âªñµ‡a\¥ëÓõÁq¤ûb{Íô¸êS;ʆüìë8+ëuÚ¥üišç¤qüK¿0»H÷ h=«¼sNñüi|¨òR¾JzU{MýÀâñ ‹‚cjGé~×S^›úà~Ó»ò“ðw‰$§cÈóÍ.›üÚoÙïÒ~Ò<7Å¡?–É‘þÛ8¦ùhÑ÷ÈýÎ}ŸÙ Ù1í§…øOz6½7N}ð{’_ËØÏ!?Rýj=२—­—íƒJžúu¾ÚOèg§{¾!¼¿Çä§yñ%óçúÞvŠßðüùÔ\By—šü—ÜÖ͛Ż§qvš‡Ï£8Dö#qÕø¡ñ%*ÆŸN=ùnkl¯Ä§ë'Ï!þµoŸÆwNý:žßòs˜gÔóÒCxq_ç{ý±‹/=ÚuâUt.x ¼Èp×ü¾Žï5.ÊšÓxgùËÕh/Æ›Ð/Óý]›Çáÿ­W¹çœx£åÉÓy°væ‡iÞxÓs>™§x^Ãï[àüÔ£ýWj÷{ÝÖ¯Åp¦Õæé±]nÿ9òe_õžÆWÀÉ&_Ö5ö穤8¥íÒxê©øü9æyæ_äŸíw9dÿ{Ý÷øã2¼#þœÆýp½Úu[‰+fGGN¸¿繩ÿK‹ó»×?Çú>íSK^Óìè¯ÿÜÊkã þâιž«þ„;C¾R¯£ŸZü ã_µ‡s]òÔ³öwûõ¿Òõz-¸~âßØï43þh8k|Œôµóaœ¢BóTï+#¼(ß«oúÖzÖÙùíÃÙ¼X{š—é|‹#éú?Ý‘uylG/Í^/;JÇö”ÿMý›â[W&¿â^µú\?Ín§yÙ©ñ±)ŸMùÐ^õA{³u7ûNó0™GÔ§âDèOÏ¥y ñÌ0Îáüž„§ðœåѼìõ®È#¹ç:Ì_ÓÛâá*ùøsÕ—ôĸgy»ù­ÌGíï‡xv®O6&{³¸nþ^ÿϧÚßu4¿%~ëtô1?0þBq.Åáªß•ï…óóiÛ‡½kiù—ù£é5ŒcTt>̾ÓçõHÿ ´×}ÿ•çK^Óô¨rAÿ4®ùò~Ó©—Æ)©‡çá:¥õ[=³‹'d§{Ý_âìÑ7Í3 oÁ^õ{/-ÎS—âa:fW)®¹­_ËЮŽÜ‡<„âh=×|ÁâŸñišÙgHóÕ+Ý—3þ‘âƒñhÉÿÑNÒüDž'Å8òþ6¾)O~ <ìÌâAµ#²C‰¨WÝg¾‰ý™œZÏîÛ¼¤ë®Oø[«'<×äêºT;£ïÀX\|ªrTŠ')^[<혊âMêw‚ŸMßë~ýÿ/ÈÎù^·ýŽõâ]GÛýK_â…Un½ŸògªïÃ|«êgí4غ¦ëòœzö¦®âëÏû}ç‡þ‡ýZ~_ï_ã‰×Áú¥x7ä)G¯Kÿëhqò"š‹«V¯êâêé+üì\ûhò«>—Þ)®Âz·~Œ§Q<¡ÿUÜT?²çz{½÷{Õ«qÌx˜ÄwÃë:NýN‹éa8}É·ý=Ñ·éâä]M.á‡ø!ɵóIŠ·Ä3‡û<ñ¸·•u¯ùÒ”w†zQ?ÈŸêú¦þóAzÔzM{¯·Ž[xé¥~šÎ§Å{ÎDøóŽõ„Ç—EqÆüàÕO-1ÿ ñíÈ…}䦯ñ÷W»æðþ Úøµ~ÿßø¡á~èq<¥8ÿ”ÏNê8†qI×›øøÓÑ3Å]±ãSø¼}ïÑ좌«é%þvê§<Ž´þà?­_ã+䇀»MÙÙ^ï×)^’Âxê9úƒùÙõt>Ãç6ç¾á§á|Êó 笟tß÷¥÷_Ê/Œ¿R¼ªû¡œ¦èMãh×Ó|Áæù¥§É©ï«Ø|¥¼;´£&×òý”OyR¸hvØäšž$¿¼÷ãbÊ'¯š¿§x vÔô£y2œ²#¬[-1^„<¿ÊûÙë]ïW‡v\˹OÏ- / Þë¾ ä j—¶Okqºž×~ëyŸï(Þ¥ñìÒÇìÂøñJóŸ”ϧ|›p_xtåéUn•Óú­úÓ~¬åY€»§½\Çø öPÇÑä’¿™ÝÀûM_Ë{l¾,>†ãF»JùTx]ù}Êöº½_ ñ*è÷Æ7ÂøˆÏ÷º×Ö¥Õƒ¼ í'U^Õ“òüTÿ*Ö]ìŸ ò»ÔŸ¦Ï!ÉÒöS¾f<ÕâË4/5<~Þô“<¦õò0§Æ³'Íß÷ºoOëAüð’cù’å­)Ÿ1;´ø@öréót¿Ìx”ðÕ&Çì€xPÈÓS>ÓòÑô}Î)~®Ó<ÒûÃ|÷´Kyïéÿç£Üôw<)Ž).QžZã íŽy:úZ~Fz¦ó0µ#ðã#·ÆÓª—áüUßÚ§óIù2NÓü½î·ëOùr¿Ë>/=ÿÂøã°å“a^­¸Aëdû3!_Âçä4Ãâýé¾ Q¯ßh~QË?S>aûé:š=Ò<¥ó5ä¿Ú?Åýt_Ñp¢Êµøšêî£U=ÒyÅ~ÅtþÉN…}ŒGíußnj'ôž„Œ£õ—âSjÇøÇÿ¼¿^õ©úªÿ˜æÿ$Ê §ßÿ!;¢q>rÅþ¨(¯¥q_z?ŸòûΧäéG¿Ð?Ð^ÒøŽ3ħZâ}k;†ûzñ>E=îõ.ÇüHâÞcMã—ÄËsþ—â†éCøNûžfï¡ü£ŸðD”sžë¯û~-ΓÝÛúØzW=é»SW ¯N}—éþé±×G}Z}áMÈs¦¼2Œ‡1?¤üì)ŽÒzÙ|Oíây-c~h|ÐÆgøFq«ÞOwG~hñuÃuÐßñK>­ø5Ì×[û”g<õ¿¡ßh¼98»¢þQÿðý½úû®&/Å)›_[ç½nûiíÍÞÒõ¡û’÷Ùz}­ú®”é[õÜës»ë>]7^l~‘òõ«¿ªïÔl2å9”ÏÈï.1¯z_Vù•MùQºÿ!~qlOöWÇc¸ò²¿4Î’?R=±Ç8ï›ò€Ô®öú|ßâЫ}ŽCâÒ9‡ïÂi¼¨ã!<Ƈªç8žÛ:‘“?ï%ùµã)_6{5¾KñãÒÓð<õË×ß°Ÿo÷qŒÿ»=ò'áÿCj‰ñ$ÅÛoZÿÃukã€}XÂëÔÏt]RœÎóK¯:¾sžòSáYMžåG¦ÿÔÏS{{hŸãþŸú%ôÛúOãIŠ³aÞÒúIy˜á3Ø­ú»á0àç‘Sû™ÚçÓ¸ñ´µ'íøÈ›î£W~cùšá£ñ#Ãw³+j'öÞô¯ã‡~¨<æoâM~Çáþõ©GüÍâDÕŸø»å{µ_²¿§x óô8¹îS/øÖê]ò /%ÕëxnþHý§v<õshwô;ÃûöûiÁí#×â]ꯇI¿½>קyHó±C”gxþÔ ®ë¶¯—òêgÊOÏRþ@í¦òLa¼Uü4¾Gq›øéUŸ#\õŸîsµ2}kû«ÿëHëyâÖÏG¹çºÍ;œŸöiü7ÿhóôóY?Ã/Ã…ßœëÓüãKÞiþƒz@\Ñõ°8!~zú©vGüRþÿW/ÅGúNªÙóp¢›ß&×â¬Å‰´ŵ!Q=áwçq|#û…u¡ûMï_WùæO­Ó#ŒWµ]“Cþ˜~'}ŠC„óôÿ8fG‚³Ö¿å#§ù.\§zú?/Ûõ½>ê;æ%)Ÿ²<ü#Ì´ñÊÚß^÷íJ<©Eý+åÓת^ŸÉÌn_©ŸZR¼kíh}í¼þŸQ»_ç™þo.Ì”/Ôßé½=Í?‰ÿÛúKÿšÇ™ýI¼2~xäÒïdlÿ0塆Kíw–뾟ÔÏÅ®Zÿ¤GÊçR| õiíSþâ…i^§¿›~ˆzN×õ!?úZn˜Gàøöºïçº>商†é|¤û=é8Òÿ±Ü÷õšÜW=ì/´ÃznþÚêß x²×Lþ¿÷ÿÇüßÿCñ­µOóMYOô{O±È9÷Óýã¢g“Oþ.øÚô ÿ1~’â˜Qñ»Z®!?¿¾c.vYÏqž*L¿ÿ”îãѺïc¯ûz0ÿõÜòžTŸ#÷©}¿ªrϹáÑÐÎÔ®©Å%Ù—S9!Ï©ã@¹–÷[~oxWÇÿ’[õC{¼ô°uòšÚ-©]ÚõÚOÌæ?Øn¯Ïã#ˆüÞ 5Ñ’D 0"$§î/ëÏzòû¡?Ì“1Þ?µúÏÆG¸%þßûcÜ[u{iœæï’È^ô£#‡ìOqñè;y´ÙWíŸ?5¼K÷wNÿ”·¤8œâ’øñ9´nüªû¿†>‰×!7Œãa—ñ Õ%¾”ޔϦ¼ÃÖ×æÁÖíÛy>X÷ï+²õ‘žGú•í¿‹ŸmyVõ;zh_ßpÂÆu_¿ÚSíÍÿŒGïNÇuìµ} Z§§ žã8í÷Yôû†oÇ¿Åú~±ùCç»í÷1ÕŽäQ^´ºšÆcùÝæì4Ü¡}‘ƒó4xÕû}ÔÓ÷C¹Õ>}_^ï퇶ocë@ñ)óטw`§ê!œ¿¯ÏkËûi=hóÛ?·8í÷)>ÚuµO×Ïü%äñÓÿ¯w{Éø_«~Ä~ <&®c„§u{Ⱦ!·û!ñ×­¶lñEúB/;ÈoG‡ýé¼u{Cž[÷éÌúüŸsº/J8Úí5¿lóÕõ;Ò}˜-ÎA]Löôçç¾ÞõŠ¾’Ku¼Õ£=?/ü‹ó©ð£~ÄxMùÐöíoª=øéxnùã‘;pŽä‰V{w¼O.ëlr‡ýd¯á¤é§ü¾ÅÂCÚ/³|#ã÷í…¯ ¹Ûý–£ßð¶Ù[z»ýÄ/¶<ñÈ¥zÃø,É^³Ãò‚å™ßsX=\íH/|OBýÀæã¾~oßÏí÷Çê¯i½iøºýÜÁú¿'\µýó%þ O#¿ÚŽË® %k¾1ÿÿ+~„óƒãJ÷Mèsã¿´>6>ùt¾Cüªöê¹Å«Õ+À_†|ïö¼÷cwê/OûºŸò‡ïÈ®t?ëþëwûÃú+åW1nÁí“ú'~ŸØ6þÉ.ÃGãÃ)_ßÖgvm~GúÂyé×q%þºå}!.÷#­÷ñ{6ÂC»<]÷0¿¦ÿ‹WúÓúÖüÎì6ÿMñ„ðYòj«¯“í¥y®ß·ÏÓ,þRKñ‘æCZ§&¯ô¤ü†øòÑ›úŸÍƒÕ鶿FþMu²ÍùWº¯Bóñر]ï¡ì«vKžßo[oÂÀµº¾¯ßíOãÒüê©8Ž)/Òû¢„ohúãzŸ‚ê¤OK®íYœ}Ë+é¾½wEâxèMãÞpÄò¨íŸ…yˆž—ÝVŸØ8dýúÿþ$oâÆk„W­q†òšÅ{ïŸò¯ö´~ÿXþÜÁ÷o:rÿU;ó›ŽÇ¢_ñx£ñØ¡ÏêKã{)þ…ü±ôR}DïÁë4ò›zNy:åõ}~È_Ž\óÿt_ØüçÈ·ú9å1G^ŠŸÔâÚÞ òHËãýP?Móô¶.NñzË?ÏKÞÑgþExeû”V—Ú¼Á|§zb;-÷ë´Î9ýú¸ìýŽR§”«wºbï°ïôùhÏ·ü…xQ[ñüØk<Êð‡øY—/x3ú.H}×[KþZvX]Dë‘®«Õ=–?¶|ˆâ…ò ðYõ“ÓÞâp‹¯À£èHó^¯”×…' ¹)/Kó‡ñUÊ×´¿nyØxnú{㎧–7ÌÿÒúÿè³8k|µä¥¼¾ë±öpŒCxnµ·:Úð üJë¹”Ý×ïòþZGQû®[?Ó¼ty­¾î‡ÚGñÐôŒçÆ÷h½¹Ã>XÏj—Ö†³‚ƒi<Ôóûú]äõ¸~ëu-ñƒ4ÎhÝ—óLü0ƽŒçPlv“É;þð}.ø¼oÌö‡ÅßúñŸ|üóÞ_øcÊGJáWú˜”6üÃùéÿ—±ñ“êò§¡ÏòE·xs—[×ažãèz…Oqß’qy_Æî7ßØò?©_{û~ Oû†é¸ìÿ¡ŽËzwØ#xÑËtÒøˆáÞ?5Ï·Ä›¬n?ýižà÷‰ºowäöñ ~Žq¥ûlôF«+Òõ%{Éîç\zû<¤õGêo)ïDû¶óeó¶õ÷m¾·¼Dë¸Ý§¥¯m]mmC>çØ—‹å†6ÔCŽð ÿc<7Ã6Žþ¼ÛauE—«rÌÏi\!ã2|ý%ýý¡´¯û)¿¼+yaÝH×Ã.˜ÿÞ_ùíwÉ: »(¯¥~dùžümü¾öçs‚Ëe¿ÙsÞÖåöë/ý_qÒÞN|Èp@âí“ß×}ûÜá˺í´}¥å>ð÷¾>ïÛ>É9Û~Õ6RüZûÔÿÀ«=Õ÷õyNãÁøwÊ+¿Ýwêv÷ûò¿vø¹[_ï#/ÝO”8¯vÛýN‹óÀÕj·­K‰ßY~°õ£qwý„“]î–Øþføžþsà|”ºÈOñ—xßcò’óü¾ëx¦üâ…ñü´&¼H÷ïÌRÞDûVÙâÉ·uŸùŸå1z$ùýn”ü˜ìê¿ ¢x¹¯w;Ó8¤ø¶òÓíþ€ùç룯ùñ‡7(ÒºÈÖÇâúÛ¸éòˆ'¦zÒyÁ||½Ë9v¦¼è´?ŸKPü’œô$Ã}9â½8¾smóûŠ%7­ÏißÖéf¯ñ;©ëÆøŒ?P]ò«3ϵøK¿Æö}~ºËÀNåcÅmóGÁ¡~h°å_0~lŸæþ^÷p?eè·:î>z~>Ûû¶n§]¿üÑøз¼ æíZ¯nûÑüõy8g«¯ˆ?šŸNZÜXž¶}¤3>ÂçeÜÕsÉÕÎxꤒǠùAëê´…u\ÛgvÒ:û·v>ýúþañ’ê ã£ì9ò·yÍòŠÕó)ßIí×yØAúïëõ>ŽƒÖü-ÍÛéøi|a|ôCÇü!Æ£íÿe¹T‡Ðúùò¿=£ßv¿Ãòñ>“æó8ÿ™?š?ÿu>θϙôôωú÷¿Sÿüöóèí:‘–ר¾nó8ä}k¯å¡e~F\éqšò|²Oð½_ë8SÞµ­ƒ ¯¤ŽGy÷õ~æ¹_[^íûxI¿Õ†„›æÿÆcCÿ\×_¦OâcàÒ}eöOMq pyØeõù£íO¥ùm[?X^?vÒxL?ͳåÛG3¼¶¸9ã’ù$½ã~דîç’ßöþ„#ý:Í[>óOﳤø@~ø\W;ø\½žÓºôß=}Ü]Ÿñò7«Ÿ,nÒºDÖÛѾcê7²€zûuúý Òo~ ×eŸñHŠ‡÷¬ùQZߦÿKLñ.õÚÓñ©ï×ÞÑüy!oSÿØâQÊwÿZ'’Þ×ïã¢û=¿v9K~ÖÛ¿¨kx/Åxnþy°Û‰8D×Ä×çÏ8z,O7¼+}é{îÖ/ÌäW%‡ü,‡#ät{»Þº¦õ7~HúŽ]’_†~ã?0þ’CyUâ‹Úc?ám]¾æ Ã/‰ÓX®ÙKý©½åÏöþ´þ¬ö÷õ)—ê}Ã{{¿KÅqY>ù’õ#wì'yFóÎÑGã~žc“CûÀæÇ)ŸÚîãN¥õpÈÿãz×êó°NBù²¾È—$¯+¯Oã„æêwÂÑc7Åw×¹¶<ý%ßS>kþ½=ÿXæ“j—Ú_ÿ>Ó{,%?è÷ðlN’Cx(ë^íd†¼´Þ¡y‚ïÿ¨ý]ÞÓ/]N=’w)^í<ôÒYð±Ë©ë”7u»Sœ¤|iþ-x„ã1ÿJq…~ßôŒc裼d¿Ã¡¼¸Ö¯§Ý?¿êÁþ÷õÙÏêikGþCzÒ¼OyÍâÆöÕC¾¡ëdù×íz×'¼×Up š·À~•C¼Åä‡õÿ¸Ÿòjã;aþ.½âºžd/Åçý!Æa²—êÕí:;ÿ[|”çu?œ‡4.”'ÃÏK¿áv¯Û,˜?…ulï‡v[ÜþDo_×!O!;?,OÓ>JZÏmóàYÉ\ù+ï[ç§ôû4O)Óÿp}áúT?šÇm¾?úÉÏš}(âÖì­çâÔnÈÿ–7Yº¯Ïkñ¿’Oøæé~èç¼iü[¼¤ÿwì1¼¢}‘.òƒÙaü×ö9ÂuUœ%|º¯w{¶~tä<çzÞ¯·¸æ›¿íùŒÇpvYÇ×sÁ3´gËS‰ŸÓuš7ÏŒWöqt9ð¼ä,yßèg~nx¸zlÞÈßþ©}T˜÷êyÊ/¥¿ÎSZ®B}ÔíÇ:-Åõô÷È«hüháÍŸñÕnß}½·£ÿK$?ßú%¼ÿ¹žèøÍóÃ-ÿ³x°øHí"9÷õ©ŸòÁÓnߌw5¹÷[œëãíz¨ÎÙî/šŸZœu}ô¿N]î±7ÅÏ”Y²7¶ËðÐü¾Û™Ú%ë7ú…þÿu>¶õ>XíÌÿ-/÷y¥:­Ë•sG?¾Þ4¾dãÿí¶¼¸ïg„ü2ö ú¾•íËûôy„Ù“æ¡®ŸæßòXÚÖo»¯Üí¶ýŠ4®Û|ñO°ù·:Áxq˜'/·û÷õ*ËО%®T¹_×V€¾¡çní…ÿþÂÛª½âÖÏïv¤þ¹Ìƒ8ž†'Õ®Ûev[¼‡uXŒßéó£¿Çsÿ¾¾ðœj|¾Ë©ë´¤y£ùøïÿ}¿oò)¾Ò}ãÐï‡|¿Õ¶¯j8âìü¢É'{–y9õƒ²Gð8æSÆÛLŠsô¿1d÷}}ž §ÉŸˆO›o×å‘?ä½mÞª]{Žùü¬ÚÁz©œ”7§–gŒ¤û'†GVÿ‡ûßîCÔµ­¯ñœ?ç$Úû—†üp?´ÛÿwøèÑøHqu‰ÔØò‹•k¼òêK~îoÖý­ß ®¦ó¿õ7µ‡ìK÷,ߦy’ò[Š74?V/öqCœ{O{²«É‹yá–w ß.»eß«Ú¥|8Å—¿î³oó`Ó£ø¸2ôSœ?ø]í‰ç¥q¸å¯)/~øóëó~|«·ú÷qœëþÞj?ñ~Ê—ÏyØ¿äAÕßâÆgù„øª}¾þEöÖ}Ê·Ç^ã÷§]C®ÈÑ:šö ©=}o>ût=SÞ v¢]=ÃúRùŸåËŸ÷õ{?{Sëú}܆[4>[ïÞþŸýŸæËéç©\ãM„‡†W’ßKþ}}^Ëÿ¿Òüö†?76Ÿô?Fß~nFr,®¶Ÿ;ÁyØÓï[RÞ0ý–wÈoϨ.£8çAyS_²ÛxKº_—â“á#ñÈSt¬?KóˆÅù }~AûaR¿á8).ÜsÞæ÷åþL?Öù°ë!}­]霫vƯúvÈ%¿?rÂ}—”/Þ~عåùä—ÝÏŸ~¥çÈ1ƒ¯øùlÊ£#Ž [“cõ’ðÁxâŒòCX'è¼ØxÓý{ú<×Ö£×ò{¸_…¸kë~ì!û–óSú-/Èzq¤ü8åÁ÷õÙ¯_Ï¡ïAØsÃñ´µv wK~*/ŒOŇÓð°vŸâÞöSh't»Ä?ÇýŸh¿Þî<ïÿ'ç.Ÿìã3Ôå ¹géýÎË¥Þ,;Û|Ñý˜ï¥õºÈ«þäRïŽö”GS^o<Ìx¬ñ‚mþ ÷†=÷õyîóÒߟùdÈ5>l率¢õ‡ñ¯vÓ¼ß×ÇõÐCãØâ§Ùaù€æËŸIo×Ôî—£|qäÞÓøŽ~чüÔü×âúQÉ/ç@=„ßÀ»œêG¸Cûsa½3ìÿ§çÍò¦ñ¦®WòoÇü×ìJýŸp¯ÛMþ”òFò °»žw;Òõ¤}ö~òçÔ?Rÿ}ì Có5­Ã#—æ»äÏ‚þ1Ïíú1ÿ¾„ëVzB^Qíý½]Ã: }gçL~M~IrÓ÷/ë¡5ÏMý«?õs°£èÇÝŽg–\ÉÓÏø“¯õ‹ñ*™§~XÜŽv„ßi]–òœT^꧂—½ÿß–ï~Ë a>Ñ>Â!áÕnWZßë’ØNã[Þ~Vòjý~";Pððq?ó4®îëóÚúѸŽœ0Þj<§ßV/ñ;Ë_)O1¿Lãœæ‡øDšGá=…%òP=?ßS~ÚcX7•ÓçéœÓx>í·y$¬Óq¦ü²ä¦û‚aþ[·3ÜOóç·rŒO.ó.)Ÿ‰ùñ½´¦º«ãäÑÏÖÉðô¾>ïŸkñ›a‡ù£å'ÿÐ×æ¿?¯kÛ1^d~hqJrîëóºŸéyç)L¿O×ùÔ§Æ?‡|ãkÄ»ºþm&ÿîãM×ÕÚuy´®V·žöÏŸNžv‚Kš¿%V;ÊÛ©ÿÐý>Ž/óK?züý}üÜÿ6ϦùNêƒ~myªÚSÜ Þû`—G<óa:n{?+Ì·ÉϽfwŸ'ú¾’ùE:o´_jñÔíï÷Cž¤øÆ%òØÇ®jG~ŸÖÉ”§-^(.„ÿu3\$þÒ×›x€ñ\Êçšên’ß䔛߮ßöl_ÊÖ‹æÝö³R~-ùLó­éOù¬åÿ—ˆ—öïÅC]]Ï¿]§Ðÿ¶|Uñ$Ý_$ü9%þó¾~µØ»]·”·H^6^3ÚP¾û–÷ÓsЋã1>MßO¾T÷­n ù Æ…ð¾4Òz”\šO¨kb\ÛÎOÈg0_ _êíbœ1¼=zB|/ù!ŸýHï—uæ-Û¿¦üNëüpͧ->rûþmqyì¤øéß3£ê±SòZé;ýÚïžÐží>i¯í£nýËòµð¿n§á¡ÚýÈ]×˺¶?!_©k°o<8vT¿ûúÕõ™×ѯÅM·¿®åsÿÞOóÎ6?Âÿø þs>ïóý=ÃÅÑÎö 'h=‰gly Ùa|±·ïíÈßO;[ÇŸ@?êKë«oé>Ù‘æ{È[ýPü1ùÇNÙoú,ߺ˜ÝX÷œë4î-^º<ò«º~ӛƓ|î¢ëjó»Ä•ºŸâÙ’—«’?ZÝ*| í±ú†xõ’O§ø¢ûö†Ëb/8Žûz¿¿¬ƒÐ>ÊWÿç ó\rR>™æ[ÂkÛ/ëíûþ0­»Œñöô3~+øWí(>ûuÊO,>Œç[] rǸz=ÚÇ•âÉOåmùŠÉ;z­> ú²ÛÊévÃ{Þ4®»ý(¿õ?ö¦þëPò(“?žq™ÿ@Œç–§¾mÞêýúõ’§”Ý)ÏxôU;ÂEãO6®T¾áhZ¯Û÷´Œôñ„¸ ûM ·®iýé{„ïÆ/¶íhœ÷õ>Ž>ªŸ¬ï/yƒÚ×ýn_ê/”Ÿ<«»l\Ý­±ºß®É_íLóu_Ÿ×©¿µù*ûÒúáèíþÐìéú5Åm“§¼ÊÆKøšò.Þ³^öÓ<¤zïëý¹ü¿ÕGÃŽ°Š/”Ö)äïGÅ7á:É£}Ó±®×ïv„<»äoyòÖ¯SžmüØö3i¾­n±úÎâ ðí uLëZ¯mÜö³åyªñÕ1.XÔoñNùè´£y꟧öö©?‡8§ã3¾•òPÁÙ8ÓùÈéú7n÷,?_‘¸¢#Å«Þ¾®Ã}”wa^JŸárZ/„ï^ï/Ý×ç¹ûCÊS|ývß âdè£<r«—ûýZýDxº¿‡vRõùƒÏû‡Ü~nz´.NýOøBÌ#iÞ,žl? }žò¶4ÞÍnâC¶_Øù?ýNÆ>§½›üƒKç>ý¨í~[oõþ)nÙ÷³Â:"öWÀMÔ·ÍO]_šwÉÎÓ8´<™îo…ñ\rÃçÝŽºnvª½—÷õÙ>åO[¾`þÕí0¼î¼ƒì&¹†ƒ§ßrŸoŒËx=ÝïúÏuw©}Go·Gü£ô.‘Â+ÁQÔ—â‡ñˇä¯Æ“—ûó´®ù ŽòKŠ¿ö¹Cóça‡ñ«“ÒúXøQÝ?úú÷ÓüCþ}®Ãúpس͋ßîOÀ~¨ÚCï{¿¯Ïþ–_Â8êáÑh·Í×)¾4»{»ÔÁã ˆ+’WFÿ-¯K÷až0 _ »‡]6ß"Oó1Íó3®’û\㼦¼6çvÝê¾áA:æa~÷éy¯M¿àt¼dõ#ô¿Ñ/Ä£´¾ý¥ŽŠóñcΓùÿéŸîËŸìr,¿ÚøÓÿ—§ù¡q¥óÛÛ_:íÓu0ö"~ô}kwé¡ßûƒ»©®‘õÒö´_ ueÌ Ÿ׆«»Íÿ·|kYÇãz¦xa¸ŸÖSi\‡þSý ¯-[>OëënOœGïë½Ý¹ŸúÅ_šGº¾Ôï)î/Cÿï­[=7¿\ò#­;E~µK÷)–uÿO¼ÓðÝøÙ½¬â<ÛüqØIë#ñ»žwã·¶^}þŸñ(þ¤ÿOhóÙÇ×ß —ò{Âí~þ¿\š×(Ž„×! ÿK°zx­ÏyÞÛ¾.£i~ ãpô7ÿØò¶0Užåím=löžësîïCØò´.wÉ7G;[Ïçû…ŠÿÇÂÃ%ÃÑö½ÐÒ/8=ì´õ3œë“¡÷[ܲyßú½Ô‘uݾïM‡òBã›)ß³:Çxt·ó¾^åÆ|'äYæç%—ÖÝüÂü1õûûzoŸÖ'½ŸýÏÆ_q•~/ÕÛ§ük‰+:ÿižI×—æýÂ{ôËûÊä“Ÿ›¦õÈ-ý´.ÇS!?€õì®—à?öOñÕæÕöO¶u¤åuŠ3Êãÿöz@öuhÜØNÆ_ýÿé‡Ê?ãØÚE¸kqgçcñH‹OŠgŠSûÝá-á?õ§ïí¤øÒç;|_r=·øìö;í÷«á|ê/!G½–Â<8Æ‘ò ·ûúh?ä‹_Wû#'7òzš?ÛxÐÏO»çÜë_íúº¹}~-îÈßlýGAü {Sžœæ1âņ”×Rÿ9ã±ø¦ï‰Qµx³¼»ä…øÜüd›7–þ£¼ÎøsZWn¥õAØoàå·>_ðÚZ‡X>éýîëãíjq`íê¹ùÈ[‡>ËC†‡’—ê~Çt>Ã|UzÂçýX× ’7‡Üå|Sÿ>³»Ú·¼:îoë^²‹ú=z1¿¤8°ý¿vâá眮+}¾“ò7ùOØÞøµùÉ×ûa]_í·û 4¿²_†yIüXyÛ·ùÏø›åuà ã¡K~’ò¶Tî°ÇÖÁž{(ol÷±ì9­çÑ—ò6«ƒlüÄËÒý0Žé>ÖûæwÝ>âq[žC¸ù-§øhñ|_ŸgÓ”ŸS\¦ùZâ¢ô¥rIÏÓ¿äßÕó°^¬ö4žÔN‹û44ûO°ÿ/¼[û­ßJ<*¾v<êíOýtžS=e¼!ͳ„ROöCÇo¸nùû±¯ô…~þŸWǼ€ÎG¾á“õë×ýètº¼ÞŽôt»èû6) ç‘ä×ýÞŸÞë³}Eˆ×ݾºNyB:?)Ž¦ù7Ýߢ8My‘á÷6þ·üvàÿÏ»ÂÝß ;hžm}¶ûwf?å;ÃÔÞôÿiýÓ÷suû‰¿Ñ8‘ýi¼nëNêø†ç¶¿x—ÔoÒ:€âýèÜòÓºÂøèïzÉŽ-^¡\³7åÁ×ÀÓT/½‡âÑSrÈ¿Ó:v{mëCx”æëûÊìéxÔûß1Ü>òRþô×}%ÃÃnç·ùÝêÇ÷#®ÏR~dyMÖ¥ôß×û8d\ßëøõ¬ç)ÿ”÷–¼—çýþg=š¯­®%¿ÞòÚH¿¼ßÈ|%Üò:þ¥öKÞ¯ûM?Ö•/Äç ¯ŒŸ¥ógx—æI:»Í¯¨î]î›öÃêë8®,YþT×÷õÚ^çUxd?ÐR^žæñs¿ýn§žÓ~éiß‹/9§¿ñô§]ÞÝírd½SÜíòêúчòŒ¿^ÒºB]ÇDz¾Q<[ê+=Ò~´»¯ŸûïÌàû+c<¤ïÈMñ’êËŸýPÿLëwšOŠ—Ïu?ÍWpÇÕ×Aö¿4¾,ÎlßGpeø_×gÿïh<:ÌÿÚÞò§ÕŸ–WŒ×†uÂÐÛÇ+ñÝu½kó q6ôÛzÁï­‡œ%_¬~&7ô·a/øð×òÍÿ}}ž l=éVdýGŒ7Ÿëï•×¥ü¾ïzì9gÉj—ÖA)΋¿ô#Æë°ž‹×'Í36¿6©ÿ¾§yšôÜ×{»s?ü~Žæ‹OÃøVɳº–òG:Ÿ–÷ÓõÜæ_³ó¾>ÛÙï6,?˜>›_ú4<—<²öëz¿ÑÞx«è׺ëK~‚~p_ï÷Ó÷v§y!ÍK6~ÂÁ7ésÙpÿµëýÁÏF»ûúµÝ7¿ùÖßÓ¼ûݾôÐ:*¬K5ÿló·Õ–_$¯Œö¶.iÝ`q˜þ®‰xùã’/ôþh—cu³Ä½æ{«¬ßiOýRܳ¸µúÐðqË; ÿ¥rJ¿ñÛgèóœò)Š—&§îï´ï?}ëïp&»†œtmÿ®M~·³ˆƒp¿ž§xN8&~9ô¯øºî5üdè qZã±÷;×’ofô{?´çnãƒç¨Ï⾿g‰ü¦ÛÑ÷­iÞº4Îi]O¼|[_Z^4ÞÔûÉçI5®m>÷yâñÞ`gº^f¯áÅ“á¡Åð—êoëÜã¯cØcqû\Wûþœü™æ{ËSžCã {Ã|Oó§v…xÐòw:Œ¯ö0Ž!üºï×<öÙz+ÿú6~ÁOûA~UÏ Ç-dþê¾ìk{!? yÆwÃxö[wÑ:Ù>–ð-ôÐ_ýÀ.Ô“â©ñê¿ÎcÃÕa_¸¯¯í‡¸¯ßǵÌçC_:ÿ”?¨ŸÅÏé—òtÃ{ª)/¥uø/Úî[j|Óx¨¾þZvtyÔŸò=ÅŸñãÆÛ—ü·ÆKóÞO+~§xB~u·ñ>®ôv0Õ^ÞƒóƒnçO¯Ó¸–ú©ìßò8‰ÛêóWÏažFÿ”X~\âÐÿKἧ=}gloZïÚ{Ã,mç Ö«ì#ÿ6œ¦ñ/ãzØûQCÍ·ÍñIÃcÃGÓñÜÃÛjGu‡ån|_sØe㞌x¾Ü‡rÃýhÅÕtIÖØ-N<„ÆEqE~JñòU[§1žÓŽæ¾G®;ÕM龅ůðʺoëö­ßɹ(ßü+­çhýÛû†ÊžUûô}Ɇ¯êºP >Aã±y=vöþÏýÒKøIqH×ïœç²ÿ0ìír-ÿ÷q¯¥s:¿ÂwÖýºÿØz¤u&_ê˜g6_À7ís´ÑÞpúÈ#¹–wÒu§üæû¡¯µ'»êú´ÿ–XÖK8?ö¿ˆÄ;>¤8æMWé'Ü!ÿMó“Åù»áTŠK÷õ>ž%_VýåՔǦþþØ3ÆG߃ù.ý}|)^Øz?6¿T? ÷‘Y–Îï_ý-ŃÆþAë`û)Æg ¶þKó’òD’oq¾í'y®c^èsÃsY‡¡/Ísésð¿¡w‹¯äW†[Ôÿ¾ÞÛS]IþsäÐ{o ɯ{;ã©iœØ<èÏ;¿1~ <¼îÓøîë]¾áåCã±áüѸ¯w9C®Í‹áÖÓ~Ä‘÷ôKyaÈ?F?Áí~¬ó¨ñ,àíCŽäSädW÷Ú—þyí×=¶?aóF¸cùÃò¦­7£Û®ÓzÄÖµó-»O|5ÍGd_§ñÔô½Ò´?×yÇ·qµäñ:ÃÅ—È]ób‰¿.wØ—æ ÃGÓõǸ`¸ÒñÍæÍêÒ·íò Œ§6®êoqb~nã0¾f¼ƒì } “Køoþú­¾Î¾ÅýÇ•]4oÇ“Ûí]ÖÉeÇvÿÔö[@?êû–Çß×ëýaÅùM—oq&|£äR><ú¨Î^:ôH½GöØü Ü-Ž§~d¿o|,ù]ßéŸî;Ѹa_¤ôØï/û8,þNûžGn¹¶÷mëS³›x™íßÈÿHèýo->)N¬Þ§ù¼¯ßí2cûä'Çfw¿ßåëÓ¾Ÿ*彄Û4ŽW”ç‡õ ^—?ü|Þïû§ýÿ`,O¿0¾rî þǼÇêg³×ö_–Ìõ·øž¢~)ùjèÛòÞÇüeÂáehgËxÛx·ù­ÕY½¿å—ç\vA<âóöíºo"òéØÎóús|ãÙ)ÿ4~}ú¥ß[¡uÞQöîràþGúláÈ5ÿ2yä »ÒzÓö?ìs ÃûšcÇ9Ó‡: ýBÆ©u§àêëeì¿å«†?Ýÿ 7Mj·ÍƒŒ§qþ´ü˜Öu†ƒ„Ë”hÞþÈ´Ž5<;Ð^«÷$ªý}ýªëòsî¼üÈ<Ø櫧ðºÓü‘Ö;­CS?ú+î¤yíØGv¦u•øuéëŸûv½ôyþÝî÷~2_¥›–zby) ó§Ö[Æ‹Ì¿»Ñ®­_χx*ýTŸ[Ü~;i¾¶uØæwÊ+–ç`αýÞ;š§-/RÝe¼¬ÛKú—xÖí/þVr (™Ÿ-ùŽ+ü$Ž'å?ôç'­KîO¹u¿¯9ÝŸJëJñ[åýi›^ˆWý~;ò¿Å%‹ùT?l)Æ‹gšOòk𛲫ùñ°7ÝïHó_—Óí<.´ßâHÖ¥_k~Oã¸ÎÔ®û#ñÞÓßüÈêÕ°+ýÖÿØEùŠâÄæ¾Ç–Æ‘ðÄy{O³üŽHy›ÌcÉ£ùƒ|Üí¤öȃ¶<~ë'´ßJúà}kÃ^‹cÓKü.Åé”Ç.ùcÓÖ)õ³Pâ2øö'»©¾¶q‚;ñ~—à߇ñˆûú}\Ëz­q>êëÜíê×4®ÓîÄeë§vÎÚ8Ò<–Öw$§Gýå´ïv¦ûW]ý?½ñCò{‹#™·a·ñuZÏûÊú[Þ×ëGœÏÒ} û]îÒß5^a~q|麄<¬?§öãþǧã¤úüaØ)û¹¨?]×4_[~Iñ=ݯ\òMÍ“éºÞX=¸åÏ·úAã«ç÷õùüË<…ú,^e‡Üôý%tŸö9m·~e<¾7oðÏa¿Õ3,Ï%¯_oë§#÷ìs´ïÿÙ¸ÔÿÓ¼·Ýw„q]4ûÑÞt}ÿêiþ°|eû²/YvÉüh]ÖíÜþŸTê_}^îëóLëIõªá/Ì;Ú#ó­øeñ—ÖŸ)Øò¶¯-o'÷õ¾t~:Ÿ¡ùxìÀõì¿;3Þ“òã‰ä?é{S¼0Ü å”<©CŸ¾¯Ïûd'ùÿéÎ4¾óÜòO“ƒ¸ÙÛ oëòšnÿ¹¿­×-^ϽÛøž†8÷ë9ñãÃ[\Ûæk“›æyzµÉ—ñW¿#—òPúžcÑSú¤ÎÐ|(û™¤ù‹Å øÝ°ßøgšoSAþqÎÆçŒç„¼µúuœ³ºÃò´å³t…pçÛ¸Mã˜xG·Ëö%nxn¼ÇøÉ=÷ çm>º_´þu7„ÿéÿ?“_=í†]ßòÊ”Ï/œS¿²¼x8ìØÖ!†Û†ï`OÙE~âø6“ÿ{l}ˆ’ÝÛ}”e|’"¥ó+ýÎëØ÷¯ú:X¡å“où㱧7ÄÃ1¾ª/¯Ïëå¼My?ÿúíˆó¸é1ÿÇ=ú÷ÿɽ¯_õ¯÷¯‰çÑ÷fÍŸz»”Ë~ ú“[ýÉÏ»ãÃ)_¾Š8ÑìÇqSeóGvt}òÿ¦ÕŸâ"ýK˜·UŽå âa×zÊøõ6Ûš·­ßXžïr¶ßÓ6ü4\ÜúUšŸSXî'£œc¯áÅÒ¾s(¿1@ókßø6Òü@yæ¯ë!óœÚ¯ò¶ñl~jõåMÓò«~(Α÷kÃãß6ïéúl×ãŒ#å‰dï‘#þtŽtÿLy@·ßæÍâƒüÕü#•Cã:ã ¼Nëµt}¶Ÿþ.íÄ~Ûõ1\¹¯w=dçioëfþ1øÆÏ{;©b~këâ?h^êyÇÁÏz{ÁÏnÏÐo¼Áì§û©öù?ñέ_~v»4¿Ð~ÓsòˆwѺ¥üÑ>·39ôþ{Û× qÇEñKr;ŽÀýÒ·Ýｯw¹bï+yÛ?S¿4?7ÞGö¥ù¹Ûiñkù˜ìKù{¯C¶¼Óö£ežú~`ñf8Ñâdè£3ý¿5Í“ìKé<¥¼„üz»?ÛìQ¼Jy[z6Þ< ”ßÇsâ'Æ«Ú÷ «ä1ä7†w§½Õ]½äƒ1.óë6žÞ¿®·y+åÄ×lÐ~žòÂú]=ÄaéÞ£ö…x»åÅšm?™ì=í,ßn‡u@ì¶úØ=ì£|ü´ã¶÷Ë~÷x ï³Ø:ȼ÷ãŸÚߎãéŒüò<·¼döÀúõCùžÕEç|ÞûÖ‘¤GÇMóô\£Ûù’uQû»ÞíïÇí¾Í›Ô›¥?Ä/ÝÇ%¹é{¾Ôã‚åaÉ›c\À©¿­Sõƒñõçñu:/Û}úûÊú‡qØííãÑu';-ÿþm÷é=çlù^ìêöÕ5ÌC=·<œòÔsNë6ªgÓ}ð¯êg~ÝGzÎ}\ÄÇ»~úþþ}ý~æwÍÝžt¿ˆââÊäÚ5ÍùGˆÃ”ï«ýs_óÍ6lùÐ_ç•â/Í#i|ÕüÏòÙMû‚’Wcž°µÏøŸá³Õ§–çS¿[汞(^ÊžÔ-OÐóG?ÞßÎß·üÑâÕüÀæ›ôÛ>³ì {îë]ŽñÅoóÿ–7Š=[ž8ì·³­'áá|¿Ÿ¾o#åÂÿp¿&­wÓüÒ¯)¯Kþ.;»]G¾ášá|š—R| óÿè×dz]ïÓ¿¯wʶuŸÙCókþò\³³žw9æ/[Ü'{ éóg?áÊ?R}i>ÜÖU[ü%>~„úi½B\è‡â‘ͯä´xNµOçpxÈÙò5“óØMÏë~ÊÈ~«³ïëý>ÍWúÿXV·É:*¿’Š ÛOLóÜŸJ~—³ü½g·³®a_¹ž§û„Æ[ïëól¼ê9÷ñ =ßžÓ|Øí¶ý‚m^¥:¯¿§Ý>ç“ýãGý@¡ÿÏÚòÓ”'CÜ£½ázT¿ûz½ÿÿHq(û$qÜ‘}”—C>0ÚSžHñ|[‡u¿¦y#~Aö>Ÿöò¿ÎØü-·ý®Óø,ñX‡zNyâèµ|kuT—CýºÝ­ŽÇÎg}žû:Ÿûô¿4Æ[·ûýs•PòšežÖ÷t»¶þAó@üØÆMvk7ÙÿôvP|X=íì{dVÏ^¦x+< äZýc8/ý†ý÷õÑnô;Ïÿê7Û:¡Ù¥u_º?h~ùKý¹ýÞ ÆCò ÎNót][%ùy%ñ¿–¯SùZÐz¥û.÷õiŸÅëÖo/¤®êíçú¡û³)N‹ý¥¯ÇÝÈ?ï÷·ûÃÆ?hý(ß|‹GN—wÚ0>ú±ò¥m}$ügÜOy‚Ôƒý@ÜïóúÇøS¿?xLqdïû?ãMyxº¾’oK¿Ôáiý4âáœ)_Ù¸úç §=ùå!óG‰·’c¼ýÛþï+’?ÆwúßØòLkGòG]ÒìJùø¹OøHëI¼“âÛÆMóÐíéãž}Ì_Po×óÔÉ>™¿¡äU»s?ÝW"œ ã)ŽcÃgãY¶`<ÿnúi¼æo°ŸÔͧ6ŸGþ6†ùC룮?Z²ÿÛ}1È;ÃN²ï\‡|¯äRÖ}U¿Øƒö½æ÷À;K½·,õWó‹—T¾äßawç·†C_¶NÆ«ïO;¨¿ßÌÿiÒ8}°¥¿ÛIýŒ—§ü Ë‡ñ =i~1ža¼Eð»ìêã yÚò\›g¯í8 Çθ¬Ž­:¤µ'a|2œÂs`ÞèãÚò}²{ðùŸO}}=Óß½¶þj'ÅáàmÙc8®‹Å7Ê'¿»¯ßõX=•ú±å5ãý¯¿æ_)~Ù>ÅwZ?ÙþÉ^v-ç}È‘x¯öÄ3H¯­Óiguù«Í[÷v¶y~0ÚK\××]¾­—-/® ‰í^Öøóñ/ñ¿ô@žZãù#é¡ø"Þöí~Hˆ‹Ê÷Œ—nó Í_šçÉÿ‡õ—~Ïì/;¶øeqšò1‰>žs?}»ÙÛÛQ~¥ß<ý‡Ýi]•ž-¯Âü÷#ýýÊègñpä’üs¿xÛϧ|©7G»®¯µO냒Kq´åyý~—Có×ý˾÷Dò'ç yFï[þ ^zôÊüu{‡ý©ÿoùEÏc2¯k=–÷)^ì6d¨îË{(O^ÄùöØ™î#œö–ïSnõnZ§ýSóüíýpßI÷û<Ÿ³ì;ÄùÿË8Õq.Ù¸iœÂË.ÃãOiüôqÚïÏluë×–ÿèy÷õÙ/õò¿ô÷–R_ÓçZ5žóÜÖµË!\ëòÁŽñ<3‹àãCŸñLxþu¾†ï }ãý•?ïz¨î Þ–ÖŸ‚‡ÃÞo÷ñΙþGÐ~·Åu[G‹kò?Ã×>¿¶¿—îšÐ:¾Ó||û»oZ7k_¯vÕ¸¾¿tÓùêǨ‡¬¾‚ñ—¼>_æ柲.Õ¾ÙÛíA;CÞ©y,åM)Nt?·ùë¼ì©çäKþRýR¿OyGº]uÜÏGû1žT¯ÝOë*xŸ«òÂùçÑßðóô'^%ùk´ë¸aëú´rÈž4^/€ÞaGç==O§õ^È+Çs«óì>íc˜_Ó|¦üØø ñÎÞþËýña·ÕÏa]]r…O ý–ßS¾gq‘â“åGÄv§ãJó$ð²Ô¯îÃþ`?Òx¦ö¸®÷õk{Ýg–ýæn^Yߎú"Ü×@Þ•žCþ£þdùm¹ÿÙ?¾½ÅåþùÐÑo8·äg%GêÀ®Çqì<ç-žHœ½ZÓzu{Ï™üµÇGñŸÖîçÝÎtýΙ~?ò?Ãm٧мý×’CãîrÅÿlÿtÄí9Ó:œçWO»ÒcÕÿćéó}‘³ŽÓOâx ÷]ÊãƒÏ\×Õêpˆ‡¡¯ÉrSÿ¶ö=¿É>Ø°#åMéúY¼C^ëÉÇçÛú)ý] á ­¯ñ%‹÷n·ý*|¯õu|·zUü±ñ÷\M/øå×·øœ®ƒñ¨¿â=ƒ>×´ÿk7»ÌÞþž×ûú]å¯å…£â¶ÃêŸâ®à½Æÿ–oZÜR^Oã`ðåëÝ^Šûûú<Û>XºÎ6ÿé¾YŠß’WÎ×#Oý÷$aŽuÅÕc§úG_×Óï9÷C÷‡ÈOX^8ío”˜?SýÄü¨ß{ž÷CçUxÓh¿å¡Ý~‰[”KóOó“â7åÉtŒ8³}Š½þ ž#¿ vÓ|Ý×ëónw]§y¾ë1~’â¼àÊ°#Ý/²º×þoÒøeûœ±äß —ðe›/S¾¹äÃjïvÍwS^LãðÍx[Ê㾬GFógÈ_%Çäÿ•xA{iý,ïY}Ðå¤<—Îéú‘^þ ù”oŸsµ·ñ|[Oô8êý=´.¿ýûŸ_î—v»Ò8íöŒû†‹†#6Žûz—×Ö™ìMùSõ£v–ÇÂ8)=}\–ŸºÐ{­ÿû?ûÓÿÌÈçwqÛ~ ÅÍ}}öKëWñƒúóÑÞðÆ]rÒüßq®ëm¿êâiʧ!c{òSÈ›%Çøî¶.´ý‘[×´žý÷²žh·ð¸a‡ñ¬”×™¿}‹Ç6ßöÿÊ)}%åßËuA¹Ý_îë_oGÌ£?»<´ËÖ‡øí£¿¸¯ßÛ-ó`<»oöZÞ ñüºÏKøb|Ìx¿ÿ_Ê?B;è@ÿÜîómyeèïdgÝ¿¯ßí²ú{ï¥×ô»¨¾6{„çà÷$ü?·ãüÒäþàOýHqÓùÖÏg?ãÛ)¯ZæwÔoùÌxìÏ 9Æ‹–y5•³Æ}ÃY©ßÓx§ñ¡¼Ð^Ã÷’_Ÿíúõ·¼ŽüƒêYáe¯ÕÙÝ~Â5ã%dw8ÃÞ”¯“_§ûeÆ©ß}½ß§ùÛò°%_À¼Gxòô˜§‘þûz·#ä1ñû«ÿ¬>÷Ó‡][>Øç…Þã'ùaí¿é:¦ñÔ×ÕäZc~Eë•ê§¸9ý{»ð= X_w»R{Òyû‡ê3߸oõþR?éżæí’Ûí=r,ÞÇ>îõ»\À¯x¼‡ïÛ÷ïfGŸ‡ç¹æa“c¼Uê8÷Ò/†üÐ.õ{Ù—^çWÁßa?ÄwµKß¿žò˜·aÅ‹á*ýÅöåûxhü¼~®ÊíöoyQï/ëÖäçÜÇUûP?‘>OÈâù49g\á|Å8d<}«÷´?çíøÍßé{€õ\òfݧþÇ.šÊ_ö;Êo’ÿñÎÃZþ±Ëx-µ¼¤í¥u³úÀö‰`]êyÇ™ÓýÝûz‡Ô“Êol]ÏÙðm;Ë?é9å_æÏÑ?üŸåêgûÿÆOl]ι¿ÇÓÖûôûÏоmý,<©ú‡ï#ãèñÝëS©ƒOºò'Ÿìç“¿V{’KóÒõûw†‰':(>úµío)ŽW]ùoûqÜ„ÿ­=굸†öº¾)ž.ýü.'õ#ŠßûúW÷»\ù~Åègq‘òM‰Ä»óßÌÿ†/ò9Äo¼£õG>"~UòÓø#MÇ×÷™hì÷ÛúÙöÅC=¾ÇHü÷¯v[ÞXò.ê7î‡g´ƒ¾Bÿ¿hòF{ò«£?å…i=ü~ØEÿãfÿ¯Ø딪ë~×Gq_ïí-Nl½¹k¾sú ÿîö¯ýì+¹–'÷ª]ã®ô£=a{ÝÇHë,ÒG8IqCú—uâºäj/ü£ÚÙ÷ÎýÕ?Õ¿­ Òõ5ž’ç>¾~è¾£ùƒÅ!åûÜÃæÏüÄê…°n(yGý <´ç¸>Rß¡ß„xAvß÷»ËïçœÖÙâ‡e½ïZâ­Ú¿IñÏxégwÐÞ>â7’׆üzÒõÚ~œÃï ;‡Ðzt{B<ïö¤ûóʇÎs{?Oª‡âðí¾>å˜?>í ßUŽÍkÈSQá¿åc‹òó#Z‡gñÑÅ/ÊÏ÷ÀJNˆgˆçb¯òç#pkÈ#ü3¾“òÑPÿyÞßßJòŸö%'ÄǺßìYï÷ØïåÒº°Ë³ïƒ˜¿YJ÷›ÒJ˜Jù¥Å™ä”Gù)[×ûz×cû 0%×øJŠ4?„â§CNê×)¿Ù~ãôÛâÇ–ïKñb›oìÜôÕx(þäÿY{{º®ûÛüf~%ŸC(ß„v4Ž55{Âz¹Û£óÔëÃ0^¯ïë÷vÛ:h[×vÓì9GÌ»èsI²‹ì&i8˜òó_ZŸ~MþÓÇE~ÕäÑóú@êG¶ß»}žâ½äýê—î›Âzõ#æÃœaGÈ«ú}m'þ¿æ…!Ïì‡ú›ñ»”‡Ûø îëw½`ïxN¼&Í{ßòIò#â¿ÕîŒCüå6yý : ŸƒÝC®ØëhyDpí–:¤Ë±´öµÿ…Gù¶O·ä½ÝΡOüדêl«; 'R?¹¯O9Ð~èU>kõø±+ä¯ýHólµ?úè=8ç9ñGùß×®í4\ ñ´Ú/y}×Cñd´ÓêâŸä×”¯¬µzçÈ#>ò-Z×~ügÞï ¨û4/„+Ûý:jGu•Õõö^(©´Î—¼7äN…¸“òó[µ×êãÃÆ–y°÷«ëûúÔÿ\«‹wቔWP¯ÕÖ_øÝ·×CŸáŽÄ¡úÅÖR?¶} Ú7 vdÏéoë`ùRæEó“õ·}‘/ç»ì¾ã!«½ ?ç>v9í–¿ëV}é>ŒìãTû”ߧ¸ÐÇGóMŸƒŸþϹÛY×)®Yý˜ò6à•¸^¢§4/qþ%?°õ´:Rò}éëÿ÷œâ°í7¥r 7ú÷\ìÿhÞCž=ì²úµðäçW=½}?ðý”)N§û ö½w‹§Ÿèû)Ì/»=T÷Ò>†íoý6¿æßßúÿÅQÊ;`<¥Ïx$­÷±¯û “ÞËâV?°¦yêíR¼°ømrë~r.y’ïë¾ì“(ŽØ|¥ûv’ÏÆ8 Þûaÿ;ÕûǞ̟òýfÏè—âç¶~>Wò»Ðže]8ì¿ý¯÷uµßQ¾µ¸lí,^JN_g[—ß ;-Þw«Ý±ÓòqèרŸü•ð%Ý'höë¼Êÿ2 ûÍÍŽsŸÆ5ìûù´3äÍZÿÓz¤üì¬ç”‡ís”mþóYš/PnX¿ž#^§t~Ñ?®ßåŠ? Ü»É5?ßò2ã+é:¥¼­Çüý[^Ê;ÇÀÂÇíÿÊ´þ¥ü0l¯r„/õkÄûú×ÛùXâRó‘áÉÑ7æÿç÷ñt;)ÓºSÜô}7Ê›)¢y€<]vß y :‰pv;_â¨7ÅEás£ˆgÃNÊÏp_í¶úËââõ"?ÿy×c<0Í éþUÚÎâüõä¿ýø6Wÿm]ÆûGZW¤<>/zO?àE£½Ä¿î¿u=çs\Ãâñ)¾‰ŸV¿'ë9ám?ßק¼oyÓ·çGÿ°;åa6†»ä×[¼MãÏðü¸ïcÝ×g»çß û1>j={½ßïvÑ8-Ï™ÿ[ãµÛ|š^S¼Ë8q\¶ŽO4Ï$GÞ3‰óúÆø,ßØ~šðÍ8/ÿNùñ@ʽþKã/äÙqþÙâ…ĵúÄA¿ž¼âú”þ5䤼—pðoè£ù·8"êóõõ×ù<\'­“¨¿Ô %']Ç¿»Þûz·wÉ»KÍý~ÞøGjñ%ã%¿ÃNYçqßø}ÏpŒì·ýŠ´>¤qÚzï§ß1„v yá~LŒ×§¿ñ4Ì/¶u¸ð$•O¿ÓOëŽûú<§vQž9rlÐþŸpËC¥þH×Yq#õ;šg[WêyzØexAú–üi‡Ï8,Ïn÷ÅŽ\ÂEóáËÃ.‘Cã¨û`/õ3ÇÏÂ:½·ÿ”]¶¾¶ž6OÖðÝÖŸðr[‡£|bu*]ß×ïömëó–ýÎa~Ñää?ä6ÏÆgúµäƒ>®a_8ÿÕÏ>ç 9Ý%çŒ#å+ÝáÜ.gÜOójã­Cá Õw”7,. l‰W“¾¾Ï/û$¯î§ù“öÉRÜ’xÅzÁæUòÚ9üêz¿oñ$q¦xÙÚ•½Ïýn]÷y#}Æ Òñ,ëUýþ™ñnšûWŠ§Âãúu7Ãîð†ÜûúÝ~ùþÿº~¢ø¦úáØGyÎpàô‡zrȹ[;[÷·–õQ?”ÇY<¤~›òFòë£ßæ™øŽñá.ŸøßÓí2»Ÿï% ¹ÆÛH>ùG‹_Íÿ†O†ÞÞOÆQý-ï¦ü–âœÚI|¡Ü¶®š„OT?Û¯ëöõïÙuœ…øìv»É^šwÀcåµRßê<¤y‚âê\ŸsÊŸÉÏm½ðêuÝKùÝôn·Ü(=ÇÚw%ÿ°Ï9èû¦}üéþ’å)âÏ}ægÒ—ò%ÙcWCøy¿ÿå>BŒßÏyô§u ýí±ú;Å«´®¦ûý{Ì–¯Hï_ýý¾ÞåÐ<@>«ë”7ö~ôùí_¦ûÁ4¯áþ­úOšþ²û¾~·Ÿpë9—ÊoçLzgK½ãžðÔíú—´Îý£ívû9ýÿ·‘O^Øï.hýCœ«ñY=ûÕßê_â4þ‡ÓyÙæ‘í~•ð?åᆠ=o›¿§ölùÉý#.×5å‹£ÿ9÷û£Øßõ—œí~¡àÌØ/°u°<q3Úý'½¼/)æEôùñ¼cGÊèüÈ©ö¡(y]>|ó¦ÌGÉ5¿²õ ½ÂŸëúô³}7ÊÿäŸGnˆ'ý0¿ï×ñü¯Ûâ·åÃ4¿¥í-†þÞ\÷t^Âù*}…ûç˜O¤í w¶ù/¬ÆxˆÏQ–®¯µ‡~eŹäEjŸòůùDÊ¿R¾Iò,^‰‡B½1ì·y‘úÝóôõq=ô/ÏÕÿ¾Þí·õ•ý‰’ou ùgŠ¯6ß–/RcùIþ-ÝOèGÌCÞ€ß'¶üò/Å5‹ß3ÞsNóµÈ?æîï\§y-´{ô7£x%=†{¶.ÜÒæ-—­Cš_¬ž¤¼ G¿mH~Mx×ÇÝëQÒóí~Õ)iœÒúË{këÚx»ñ ˆË~`|’ßØz†û_Õ/¬ËÌÏƸŒ7Ù<®ß×ëõÐküž×µñÌcÇ9§ùßò"åÿ0o÷ñ`¼Z<¯·¼KûBdoo÷\×s±£Š¿i}NøÒ÷›Î¹Ç!|¿­ìLñNò`ÉÛ®_ˆ_ˆÝ^Š“”ïÒçú”ÿ ÿÉ‹ï”oÒ¼¤y.Í'–ÏÁ_ÉžºoüÓò¬´ú-þîëý9å™С~}οa¼Æ¼úi_zF½ý³“·åM)¿MqãŸ÷áç̃ß}¶ãê¿>rÏÙx¯¬W·»1ë ã²ÏGŒ×X}Öç_¾‡¢85òãõÙÏâ%Åéeœá~©ñ˜§ohGµïò»<Ú‡¢ß5¥üPp»è_)ÞQ½gõnš7~Û1ÞB|$ÍKaª~h|âí5Þ'|lÈ5œ}¯’GóAø(ýÑNÃqòÿG_ºÕÏøRŠo†ß¯)?èÿ{oö½ßòî~>òL]Ó}ŠŸþœæ¥Ë§~é|¥yÇpÆø¯å#ˆä-¡}_ó,›?’{_¯vñ|›‡Ž|ÂÑ´.è×V—ô}Š~mù·ËÆcíH.ñ“Óî9÷çum~ÚÑûÉç­çi¼¦u¶ñ4Ë74_ÏeÝFÊã6â÷õÚ¿ô¦ùûÈ1\¥: ­ëÓqnëêצõr¯Ñ/,OO ü{ÞÿÛó‡ÑNìA¹Àãª=à'É«û÷õy¶Í7ö\òuõKñíœå÷¤ÆóK¯Åm÷Š·†³Ä¿dŸÄøo?âïË„ûsC~:¿2ïÔ¿î[Ý@ùü¹&{†~[g‹·¦oÈ5é<ìãþ7úõ|ëg€+ÃNšß§½ñ¡¡÷K«x$úì~ÌãB?Jë¹Ñþ<—ü¿¶;å•Äi_Çꬮçù¿ñ~Ä<âØcõ„ÍWï÷íÿºO¶ü“ÖÖ¿øûõÞÿ¾>í3¾æé¸N óué—üÑÇòÏÿÛ“á¥fåûêoñoþ–òVò딯Ï ÜoãIy}nÞíéöj~yäçßæ›t|´.Íž¯ lßÅüIðùÓ_÷?è õéŸí¿B¼QþýÒüAüOx‡ñhåÏ)®JÇ{_¯òÉž¡'åé¶/`|Ëêþ>ªÓC|ó°ÄÔoy·Ë¼Ñý§¾.ýû]Ÿ}¾gñL<”ê¡çd=«ŸñFÛßµÿ5~)x5Ægûýó‰×qNß3iï‰0 u´ý ãgœé¾øiÙMqÆEÉùì«žÛ8zâ%–ŸÉ¿‡¿|ê£Cדx+ñIÁœ—ç<äSÞ´ï§ÙþhŠ¯ô;æn÷}}œÇxhþ!VÿeÜŽ ¹i”ø)¹ö¿æ/!ÿ‰y”àÒèoñ'Ÿ; yéç#ÝnÁÏÒsú¥üÏòŠÕçáç ˆ³¬k†™÷aÿ·¼JprèOýÈâÚpú¾~¿OóÖñq!•<÷xžò¦´¡ù¼?å—ç¾Ô˘W7†ë«ùšì;í—zÏ¡óJqµå/)ÿ°º&Ê%|òý}}Þo×%7ÅÅt?ÿè±}S‹Kò+šwÚ×MqÓÚO‘z¬ì4ü xOq]ü ¿ßÓÇCøAí»Üí|SýlöZ òû¸ÆGNÉ·øÚâ+åGão–,o¦ýŒ?¦ã½¯ÏqÚ|=íãºÏð1ä‰Ê—8XÏ-Èz‘œ4ŸõÃøÖÐg¸fý¨]Ÿ´®uòÏçµÌs¿Oípž¬¾£qÉ|šq>3¼Ïh¿ù… ×Â:Ïé>À6¾º?ËïM‡\ò«Ëm}×™ß=´îíyZ/”œs¿ÏK»¯Ÿ{Ð{E!ŸŽqly¤­k÷§c¿ì3TÁÓØÒ}w‰#ì/umõ;vYÖQC~ÿ·¬/¶³x0žÛq“pGòJÙg¯Óý¼ÔÒzMìã1þdzÄŸ¾Î˼Zòh?Ñæ¹Ç)Ù8:Ƴ¬¯ÔÉ~Ã÷gëß碼 y¼ë‹yî#gŒ#äÍC/á–ôWûS~/ý‡¾´~‘yìí»üº¦¼,üßâí½¯÷kòwz.qׄã0ߣÕ†ïK*}À/4Ÿ§~iø´Í[iþKóšñ°§=ú}ø~É íÆ8¦ñ‰ßtý£ùÏ}eöO8r,¿užbû¸mJžñ°í¡}e›oÃó[«dþãöÆ7ŽÝ'K>Þø=º”7ŒoÛ¾|Ï©ì#»-Ñz¤¼…ü,õ[ÃÙpÿÃìÐüâzÃä¥uß2Îâ8¶ykþ<äPþîøG<Þú“?¦üËðo[—ZËËæwOÕ¿_§ü‡øo_ã•Æ÷–|¬Æ‘â–Ùeërúçã3€?£ñšûú÷™p ý>u¯#ïë½Ý9“}¯–§ˆQ>%? þáú©ý4½½üì‡ù»Å‹áIZÿѸ„¿ »R>ê!.yôùNï—ÖÍæ7é~ˆ­CºnÛy´} À£’»©ÿU¾Ôå)O)ùÀ›†~š×ûz•£qÜö †=áÿKã:šH>,{ Óñb¹þõvÄþjø}ÊGž™â5ÍÇ•¥<9•Oöu~×ÛÑ{ S¹–W¬9ízû4OÑÿGƒ?—^‹sࣽñ¿4¿_¥u³õor‡]d‡¼ŸçÍöÓN»/ó}é£ß‰¦8Öí%{`?±ìø ·¿IïxžÖI)®X;©×‡Ý÷õ~móÖú ¹OÕ>Ý?ÚòÝî7é|žq™Ûúø—îgQ¾ ¹7,þ-îÂ:²ìîúÛø”—šæ'Æ[û¾ Í«á™Ä×9tÿ,ås}žÃ:®®¿_‹GZýûúÕÞ!/µæcȳý²Ç¾Ø?Ó|GxiqF¼€Þ?šÆKº^TÏ•?ÿ>ÿŸ&ê›W?Ÿ÷iÿÓxÚ}}êƒçŠG½nìëIûw†û_Ö75ž”7~¥û±$/äAÃ_ûxº}&7Í¿é<‡ó;žK=Bím]G«;äw1o´8§ùüE;,o¢üümŒóy>ú§yšâ˜æQ>‡+;º]ÿ¿½ʧõ·k«G ?,¿ÒïsÁ®~|=®tÝÝéÿŠY=hú-Þçûy¸¯á4Í íçI¾+¹Â+1‰?Ä<ÇâÚê‹4oo÷ wzÿº¶ÏþÊ{»¾þ;âÞÿȧë3.ˆ¯a?ái«ÿ¨=Æ7Õ¯aÝ5ð’ðŠæÙâÆðKð¥äPýkq½õ÷´þíy€x»Í‡áô¯kª»aû¡¸ÓõÝ×ïý„‡"0=–¯ûçbÄ£„?ý„;Âu–Ÿh=,“-ãWóJúòÿ9Æ>ß9¿^ï$ÿ£÷¤ûáaþÃvGß·õíS¤ñIüÄp°Ï?á;=ïýaß>öW‰—1.êGx"<öëýö7…oWò«%-yí¾ÚÛã°÷OëŠ-5žl~,ùTíMó‹Åå›%¯Wþ`ë‘®KúûPÛ‡O×ÇxÜ}½Ûuþ®±ëø~õ'žôÇ}¿’CócùæŒÇð—æÃâÈøáó±ãœm½ûûÚº½öû¸£ÇæÏæÃâFð¸úm?'ãÙâÛ§û‰´Ožæ¯ûzøXíȾ”‘ßnó+ÙŸÖöû½´.¢ü@¸*û/˜çh]á{ £ÿ6OJ<˜}šÌªkBÞ0ôŠ’uŸÖ-Í)Ïž1ìØÖ{Ë8+})žXüQý#uÃÐGvnŽñÜׯí×~'umÌ£º}òþ¶~½Ž?óÚçKëxkO¸Eö‡þNrú}õ'‹oû<ŸÊ>« ˆçàú‚ý2?h¼WX¿O—î3˜þ0Uªë$NûÑy íWŒö6>²Ëü ͳÒnØAöPœmã€x“åÕtÂï=Œç’ªí3t?±ºÀòጿ˜ŸX=”î»nõÝ׫ü‡Äñh÷mþé8vV¿î`ŽøJ?tRCy¾Ëiöè~ÃiozaÞ‡\ioöV{™/• þ>äo÷ š½ãû’ÆKÈ~óƒ£×ò~Š÷)³ó±Ëö/(n$Oàüˆ? ýÄ Û8ª_ºOùÁä ûl^ŸÑº†Ï»ýÊWº})~õüHòHn7øéK÷3(oÁzwýuî?´üŒz·xHøò¥4oÚzQ<Û÷¸ŒÇ±ºÎð,íGóÛñnYÖýûúìw®Ÿ3õëšÎ)Î WN;«WmÿÞö߻߽T÷Ÿo_@øDóAþxìý6Ÿ†¸=Æc¼1å‘ôiÛ÷§8µ÷æR\Yýgv¤ók¸fù(ĵÑ^¾÷>Úoó±ñyÊC¶ßsîÿϽ?¿¯sɧ:Sü}Ø×ílúÐþóÜÖ'?Ë#ï]ʵuûÈŽ¡‡ì¶z„x±ñлµ7ý„=Ž@.Æ¿ìÖœGîšw~a½œÚ[ý ÏÍž”OZÞ ûë>„åM›º;Æxì¡žÿv ®jü¦uí7Ïë“ò-ËCi<oêó‘~ÎOóxÆùœË^«–üßžSÜ‘>å„G6¿iܦöžö$'¬ïÆ8º\Šg['³_ÎC^÷Çôÿ+ú{Džñ ùÏ}wõ£ú)­Ÿ»}‚Ϙw‰o3å=jgüƒæ+Ío)þ’Þ¥yÈò‹pá¾Þå[}Ž³ß§vøûë-ß±uº¯ÏkãC–oÈïM_¸_Rö|§ïWæ[ÿëóÖñþ'¯Cnÿý­G÷Ãûú<Ã~ÃÐoßß'Ük~Ñä—Û}Ëga{œ/ÃÓ%/Ô¼²ÅŸ~„Ÿß®ñ²Ûö›„O•ÝàWu½kZ×”O;m¾I¾Ù±åôœø³á5Íß}}Þ?×ýÿŽíw”VÇ“ß}6Ûÿù¤}2ã1R§Õø¬¿á½ñÁ4¥qÊ7þ ycŒÏÞûGre|C¾½/ÛöCþ¨ó|ô¦¼ØòáŽøoµ';‰w‘Ÿ¦yŽp–Ö“øœå™¾?_¿Û‘òÒp\yUȧã|uäœ3ýÞ8Gš÷ÍO-O†¸5ì´üjuŃñ!{/Ô…hÿ9Ÿ}—ûúÝã ö<Œk ³ëŒÃâÃê4ØŒùùå9Ã<ôþuÆeÜžêëåÿ­šôCë¬TÍ·}ï>Ío½^¦ýòcð Ÿñµt? æ­ä¦|ÿnöÛ{ oÆþFëßë°#_òî°+ýßÁ”ÿX~$?^=¯ßõS;X²k<ïòÎõrß«ÊÛº^jßÚÕý^ŸQ^LóQ—wôJéú†ýö=±~þ¿ _{Þõ¦öußøøv!|çxn<)Åú_Ôež7û•g¤ÿn¼\xÊ{—ujú=b´;ü[³ŸŽoó)ö§üÖyDŠ§šLŽå™ð\ý~ÔýnýWòmÉKóq?;º=_æó”Ÿ*²u´z,¬#t^)Îá{ýˆÇæå!Æçþº_"ã(¹)¿JëI©ÛG?ÛG6üM÷Ul\_òÕoõí_À|»NšºßôŽç4Φ/þžö_÷]BžNü²Ægûka|Uû”w„óÐíLãr›?‡œ”—…v¡Â˪Ÿå¿.ç<·ý²â±Úûáûm«ŸübÈ·}&ð§jGû éYxñò˜ï^B¿êuc=®õóÏóœâÜ~·M~ÖåRR;ã)^I]zúüÚ¾écWÉÿúG,ýU÷©–u×â#Æ[Ò“ÖÕVÏ™>òGÈkuòMÅcŠÇ>Îþÿ}ô="ôëëÓþ»]Süžës¶ýeÊË´]_¿Ÿòì^÷õu¥ßÙÃúù„½¿ñVú]ùÝ#·Ëëë×ÇN‡Ä±þ®1Å9ÊÿVÿ½>åZ¼-ëy»¶z¡ÚŸqÈ|¤ûÃŽ°ž¨~é¾I¸_2äϹ›ž~mû6oý¹í'[¿±¼MóHãiœô½¨/ëú~Œï×Ùÿ”lç—ø¾…wi~-o.-Ç‹þeþo~6pãú”OýÏsáãç@¾³äQ6_C®Õ/´¿a¿—1žÑû _‰qüí 4¼7¹t¦ünã·ºŽòÀ¶nNùUŠ')ïKù‡íï…û çÐø ù‡ñTâçlü€pÄü„pŠpå<·ù#|7íò¿Åukg<Ñüì\ú'8ž£÷œí÷Ðb_µ'?¡÷·¿'»·øÒý“Ö‹âïèµõ yT—¹Ïùßúcõ^BòG¿¾®Çξ„OöÿS)Î/ŸÓ1÷ÚxÒýµî¿÷õ.Ÿö=è÷®Æ[º^ø_¤êŸÎï±ÉsUOÈWê¾ñdã§Æ@Ê»¯w;h(ŸÚ¼Â< »º=4†ÇÆ/R~yì!]í—þ¢üÃøıxv·kØÑûY]JÏé{GfWè×}¼uð½žKöéºÚú¦¼ú¾^ÇÇ™á¬ÅGÿ<èÛzÑüÄxÅ#ù'ȯvË8a¿¾~·3_À#ìgöRŸ‘ß’Þ~í£qK^÷iþïëãzØaý—¿cÂõ´v¶®V¯Ó¸¤u ñ"âñ)_•º½ì’ßUT»-£x ùJ׫qLûyÆ3¬´u¢}EÒ'yëWËÝ.²ÃpJüFãÚÚ‡íÔ>Úw±üFëØåP›ßw¹i^íú‰¿Ù~á8í»Yž´:Gò:ÙQ÷Ó¸ëýè÷±6ßæ)®¦uNÈ74>Âã–o-ßÙú¿MãÏp×pÆâÎø¾}Gxs_ïv[\RXž—u#y_´.÷õ.§üîçUo·Kó•ù‰­s÷»þÞeÃÛ¿ôù+ÕyõgÃsÚ¯¦õ¼Î÷§þaÿ6þCŽ³ŒÏ?ÌeÝS½G!Þ£œ”gIÝaü¡ÆkëBþJuÕ™Ûÿ™¿¡}»oÏë>ñ·Óþ9ög<×ìL8ómœoë5É/e—塶qb<ŒžÛ}‹3Š;û^¶è9ǶÆ~´^ wh}ŽœÔNûíþáºéOqOüðõè©ÿK\–ã¿Íÿ©Ý¸/øúûüt?'ޟ⑵KqGä ûÈ¿)O’ß7ÿ´ó±ïœ/ÊŽžw ¶¼Þð¸÷ïã°¸·øMÿ¯¶ë¹thž¥u6ÿ³<ÛíNùe—¿Öñt¹ô»4ãiiþ±ý™÷Ï8ÏÙøù1­‡ñŒÐ¿¾®Oû¸À~ÔGë³|YõO÷ãÃqª?§ñCëºÝŸ%½÷õû8 ?)YœoyñÉ£×âWæ ÛÛ>ªñÿ6ßÕÎöm%¯ }ÆŸŒ¿¤üSò° Ö¹Ú™_Qlü†ì´ÿ[¦8!>’âëÿü×{û4~©}ÊëÓu¶¸‡ûçÀùyñzÇc<„ì²8—<ßý¾ÈÑÿßÿûnÅQçƒéûz,/lóùÇ}½÷ ëÏ8ÎB>Zã…øÏ·uË—uNéMó¯Å—äë~ ?¦ãÙòË©Â{ÌoJøG¿V¹qþ¥¸7Ù¶ÛÖíÀ×ú¡8 þÙíèò†ÜG¯ïF¿où-­ËÑ{ÎXŸ_Ó/|Ô®G?ú^YÈ_Çó»ÉÛâ>ñÞÚ‘Ÿ<ýûÑíªûd÷׉ï¥ù4äIÈëH|??Þÿú–ç»úµñ6‰õߣ'Ý/¢?¯ãöçK>Óå?ö<Å—6ž˜}kÇ‘×å¦ñ þxŽu<^“mýKïyÞ¿ŸMy„¾‡~ÃýfÇÐò\oâ ôùšÅ»å âWÆûS>i¼ÃxEÓ7žÛ¼R}Fu#áHoOßÿOùvº/ ûÃnZ'Øgëz†¼ÓŸpæ<îòº¾5îr»ÝÂ?ûó„tÿÖâŸôŒÿ·ýù”zjËz†úû„{÷õnáœÕuÄm—¸[re=±gû~ÓûŠì°&Ü=×i·ºNx‘ÖiByÅî[žI×ßæÕòµåpeïw×ç5ñLãY]/ù'µ ÷Íâù4>Bü*¬OÇý%ÿz·ö‡üç7̇cœ÷õ~½ÄÔ{ä™’?vûd=û¡~‚y¦éµ³ä ¼¾¯÷þézÎ Ÿì‡®Çrÿ€ŽÑÿ¾Þí¼ÇZ‡û3ÊÃ-oŸ‘u^ûsZïҙƕæeò#“+ë[㽯w;l½Òx3¿IçMâ$Æk‰{´?¬×«ÿ¶žJë òGù¼§ì²|nñhûæ·©ÿR<[Ø~áÕÏ ¿äõùïó ëÞÝ{ìííëšxÙMûTÂ[ãõJ÷E:O9甯Y=~ä…xÒGš7ËŸ6®>½ßùˆí3œ3í#“_Ü×k;‹Ï¡Ÿp(Ígò~“’'öôvt=ì3žxÎý÷D’'SÝíQ;ÉB^1äöø´¸Ü¾o9¯´HÏ„ö}mÙ¯XÛ›Êëû­éÿ¾Ð}âm„;)OI×ïnò+Þ^õ—}4nšÇ¦gŒ3ÜYû—áŠÄÝègùë¾~m?ô?íq|ö;‹p?*–Oߧ¥yéëG¿‡#žðíùÈ!<ùýçÓN³ÇêMáû1®ýµžMyBÊ/,®Hðõ~MíG;؇ngj·æsá ¸.÷õ®'äeýÀ÷(Ký³ol'|¢ÚSÜ[ݙΛÕ9à/£­«ùѱSø®gº?eã÷×ê¹ù‘à̇ñ«–ï¶ã~bþe¸âLÖŸS’ò!™—¡7ôã˜ïÛy»/bûSt¶ý®”‘?“³å!ã GN××'xÚÁ¾Dµ#ÿKùGºNÝžoã>ä§h_˜¯ÑO,¿‹?ÇøŸúwºF¼üŠìÆõ8ým¾¯;Ïoöèÿ1ôö–'ÌzüNn÷dÑš=4ÿÕÞ¾G.y­}^Æót¿òm·3ÝDZ¼f¼Σ¿á$ÔѦoÈ»¯_íW\ ëõï¯h¾ÿ©ÿ5‚¸KëÜ!ϾÏ@r~Û!;û}Òû´+»i/Å‹®×öõú8©^ëúäs(Â#’W÷¿]ÿtžú|Ðÿ/¾<öQ{”c¼‰pßü<ÅÇÇîuž·zàÈ=çm]Ð×ç‘SzRÞm\Zþ£úNü«Ú?ß'©ë4ïIÝlýð¹áv×'óÓÍÏËuE ëØÒâ(Ú{_Ÿ×¶ØÛ÷kÓþÚó[œOÛg3ÞÊûvRža<¸ÛI¿oMó.Շϵå—a—­“ÌÇ°+Í/Ûý›4ÿZüÚ>`Ÿ0ÏÔ.þ?vûý(ùÙ}½>7¿G{ÓxH÷I¨®7{iüiýhã5}†·°îCÍ ða´×p3å-4.ã™oÆsi]HåÛ‡}䢞”§„ãŽ×¥Û{ì²x‡º­_cž3{—ë\ç¾ß{ÆcøH~½Å…Žç2ßeÏcg][¾¼›ü­¿„y°Û£y/ý~>ÈëÍ;Ê3¿‡ïƒÔuÈû?ÈÈŸîë½ñ†4?öïeH|Æ~bqžïëW»êÚò¢ÕãV?>íqÍNþœøú°gȃõ¬vÆg­¾%½¶ObóO8òk”Cñ,ø5Úmqú¾^í)¹ç¹øwÝ·¼dv™ý)?0Ü0û¿åsé>ñ#WÊkÅ®jOøAqq_¿êG¹„ë)O%¼MùÄWé9¿÷:vBœ~é>̓á6Õ+Â_J?ÉßÖ4ÿ†‹éþƒñÞîÇÇ>ã%O⶷«kákC>Åí7ÐüY>7þeëg¸Kß'¦~÷õ»þ4Ï ŽTû­¿ûú¸Î}ÁYl®Ÿæâcô|›÷–üJ×ÑÖ«Ù_ú,>)^w†¼å¾@÷“T¯ácÉ!2>Bú;uŽ>žþ¶®Ÿ}>;Žöï ÓøèÿºàûF£¿ì“Œö]¯å™c·/ÅãÓŸxWŸ/ñ›ÿØÿóþÜ~/mñh÷XBxNþev z|Óc¼•âÆð/?ÂWûÝ;ñ°¿òO‰qßp5Ý?zäk]¸­Ÿh\VÇIÞzhÎ:Ê÷mˆR>ér†ÜÕ5ùCÿ}ÍGB~0쀼†öÒ:†õûhw_¿Û#|µô§8Ó~‡G÷i½Q_ˆçÕ?­‹Ïó—Òý0áqÝ ~Wã´ñ“=`?t§ºwãüdóšÆsÕ»?ïã ù±Ž‡p1}_ÕmGnŸó7Y?ÛŸéâבCõ ä•ÑÿK^¥<†Þhõáá8Ø_íR|¤÷£Ý׫]V‡Ç|Ìâ”ðòKËp%¬ïq^%Nízð ï–o„y¤ì2¹‚óqž y³}9Ó{_ïÏi=Ó÷‡¹!Ž­Ïiž1ÿìíÎçeiœ™|ú?‚ûzmŽ¸Þ8r o»>›?Ëc)ÎõçÝÞþœúÑx–8ÖŸößÖ'ÆËŸêyê·V'P~!Þdûp]ý­>€öCÊ·—vàs‹ƒûÊì“ü\ú—ùEù#ùYŠÿg|i}gõIÊO,®ÈŸa^ÕŽ°ÎFûîë+ûiË^â¿GŸÅyñ fŸñžÔoRÞmû!g÷¹NóG÷#Áµ²ŸüÇögl—þKãr;KyŽá?½÷½Ÿ2OewŸ7Âóoà‘C#Ýo#¾æ7´‹pÂp!ÍÃÄG,ŸÝ׫ü!§µÓ|+òÓ|2Ú‡ñ8>G%\i×j_Ïs¡Ÿ‘ÜnGµ³þßæy/…®g×ÛíîúÂ}­8^¿å½ÝNâà±½ßòLòëzÏÇÏ¿Ï÷õޮߗÿ%){z¿0ÿ÷8ëÇìÿ´»ž|ÖìmvU?ó£0ß×~gÓƒþâ&懴n³<úÆqÊ÷iÝ. Âu›Ê“†Ý.ÙՎÃòŠá$òÄsýÃ~‹òó÷±¯ý®«_ïoÐ÷ÝÒý«ƒÍÚþ*Ù_÷IŸå9‰kÒ»Þ¯HÇMò Îèö {©>Ùæ}koã$æyŠ“’¼Iñˆì¶ÿY^âúë±7Ü_0+=V¯Χõñ)Ë«æO’wj|–OÅ_KùµO÷Òøê~gë•òo˜oû1âã» ·…Ç}©?Ú¼¦û¶_aû?)_Mý&ôÓt?ºÆsžÃ÷…«Ý׸ðójgɵq§ñcõê¶NèÏ{Owš/<ðsàz“}i;òƒóœÖõ<7kùŠüé‘?ì²÷U _Ä÷³ŸñÐ{vm])ï~Ë›,ŸûÆ©Š_à¯5N‰»jg<Æð÷¯voñŠò•ð~v÷8”|4ô“<ŠÇ£g›‡z¿Ÿ©³w[ç™=)ßL÷#Z^ö¥8!|Ãø˜æ}ò·oó*Ø_×äwÝù]R/d×igû.ÔŸxÅKZˆžº¿íoüÇø ñŽûú]~È/ЪÝ6oJÞ׸Kù>Ìo:>“£<Êòžð¢1>ÛG“|ˆxMøÜ®«_o·›oÁ1>׶Ž3?‘÷d÷ö£Š§Æ/Óz´ÉéöÆyöØÑó†¼7/]çµ][}0ÿýÐßÝH9†G† !•^‰;O݇ú„äûéùȧÿõ}ôšŸ“þ1ž#ÏâÇòEšgí}úi]Më™æyãï>Åo[Gã3)î ~ÅuöVù3ñb{ÿ²Åûö÷ù’¯â:×pC®‡|Á×Øoû¸îëã>Ú{Ú…ò‡]–­îµ¼žò‹/åXÝSz,_öÿðßó‘¿Ó÷ÏÈ~òGŠóKãí«¿É;FXŸÑâ}صÜãõ¹Þï[Êk¶~–·-¿?wý1o$^¶;ñç´ÎÓø y[Î;â%ñ$òÂ/ãŸÏç„c´B¸FóÝä ]}è{}K¾‚úRþA<_ò<É©ûæï².ˆO]ÿ}½^kÞ%?=×$‡þÿ7Íÿ)ϱúAÖ£_ã<€Ò¡ý©Î°¸ƒõ®v†k˺eÈéëK8“ò ãÖŽäÞW¦ŸüâóGoßýŸp’ü°ÿ>EòŠ¯”ïÌo)OA¼•=Rßõv¶>ÊkR&ãöJüô#žßï5ÏÀûÓý•í<Úþ„Äâ!ÉIç%ä‡t?ö;É'Õ^ü<–Kïµ×çñ¾>ûY\¶öÕÎò™­ã·û‚©üf7æâ•©Ÿ¥8Gù å/–·ÏõùݘÕÄ#ïO;Óº/åãúÑó,ò‡þ^F‰´‡üÀx¡ññs:b^CëpÆqÎ)/ûŒgW;²“Þ³nû'i=b8MñŸæUª ǤnRÞn<¾Ë»¯_íŽí‡ù®þýsŠgã÷¶¾iÝ—ò{nçžoȯ¶u!å)Ë—©½Ûº<Å!Û%Ü”}•´NÇÏOï뽿å/úœJx4ÎGÊgÜþ~Ž4.î+“?êžëu\ÝžÄk?Öqjñexf~n¼Òò£ÅɱÛô[~¡ÿS%9´.a*^ßµöâ‡Ãó à á3Å•á"ñ «;„¡ç{ž´oØÛ›¿X;½°¾^ŸC»ºª×ò©}Ïxíh'û‡Õ~àþõ>ˆë!ÇæÍêå´Î0ž íq<¶~”§lßÜ츯Oy§:_·§Ýù_1ª×‡Ënò³.Çòå[ÀÁ~ ß$?°ú'ÍC‚Ãqýlû_òaü\õ¹Oþ\íáwÙõœò ÌÃ蟮K¸žÃŽûúÍÍ‹øQ?oH¯ðÒS×ô> OºobyÈêøOÂy3Ë{„‡é¼[þ!~{ôOëë!×ìÝî§X»ïú}´»ÏG×›î?ß6~M~*¿'Áq ÏŒý’ðŽÆIýŒŸ ûãûb»½„½ŸåÂOåsà_ÕüÑêÙ4Né÷­÷Hþ/;$+NÚ¾QŸ{ÏhX¯—ýÆK ¯(ONÐý´Žêú­Ž ×EíHýÏÖ!åßv?Åâ«ËõÓü@Ï¿äçeç‘gñâ@ɵy´ù0;È_å{è?©_§þf|òØCõ„àyÊßÏ<Ñâ.¬Qñ«#[Ʊò|[¿4߆v×8¿ÅtÜÝßžsé1œµü¼åËùz(NÓuN¯Ã|TÏÉŽûú|~®)înÇcøßç‹øYwC.ÄKµ3þaøŽŸ\7‘[ýÅ/ºžºîþÛëpí{ŒýZy ùá[ºCí(Žh¿™Ú[þ6<íû7‡÷õþœòü·¼”úÓ:õöÆëÒz¥É­ö½Þƒ:¸Ú“ÆÿR´8îzmþÃý“˜G“|â‚_ç |©ët~ §ˆ¿ ^f?âáƒíw»iÎóÞŽÖ+õÇm½·åÛ¶ïNã1F<ÈøpšO„ãøh>-Q\ÜWdWÊ/p=h‰ükkù¿¬sê5NÃ7˜'ô«4oõù´ßá¦~huÔS4/ý ?µv©ß›ü5Þм¤û3)¿¶8%?"žBëEqdùÆø£ÅM')~¦üm‹ËÆÇ¡Îíÿ©ù€õíú•Þ¤ùu‹§Ò~È ýý±¯ó}½ÛEë{Ú§xÚ§<Üxávß™úoù÷Ö/Áÿ5¿É>oµ³uîþq_ÿ>Ó{5-B~ö„¿wÀqX½t®mœßiþÿíGüžçn·åeÇ.¯ÏÏs.;ÍŸGOHãÚògZÇ¥øhñq¨¸˜â¹ùÍš—}ÝΔןóÙ—±ü°}ÏIð ñžÆ»ééòÎüôï{[ }ÃY›W«Kº¥ì±õùÓqÝׯö÷þýÀÿNßã󸶛ÆAy!å#nD¯Õƒ°žõârØMßO£ûÄ»i¼Ë}…!ÏâÖsÈ¡ûi}Úý3Í6þÇ®˜onß¿~·ö”O»÷ÉŸþ©º‰p'ÍÓ6ŸVKüÿSõÄŸá„ù[Úžâ ìU;Sû,öxùe—ñíŸÒy“sÙEz-~ι¿^ìëíìZ÷ù¬ŸÕéÏÛù¸¯ŸÛÿ¯ë÷-Ó¼säкç½ùá7ÌcÙCù+åµô>[Zá•Ã®Ô¯Â<_÷Sœ‡ûd'ñÚjyu´Kóý·È–„uÚIþDyjäퟟ;Þ“÷õn·ÅGšÿÓüxì <•êÙæQ«Èi=Rõóyêåa’/†ý0?£]ï/û“=þÉâéïkÉÞqßpîè§qP]h|Wø1Îß‘Ÿî+•Ÿþ¼ß‡u‰ëAÛ/N÷}Œ¿¦|Nx{\§ _×u³yN÷ùRœýkeüÁxÞà¯?ï÷S^ó¥ë°­ ßÒ¼Jóp_Ÿ×ôþÂç<ì²÷„Ѿ×6¯¶ü¦þæ ‹3ìŸîÃÐ|7žiþ ×(_xjœžq‘žºOy£ë'yfÃø@ˆkýZëò»ûúìG¿»í»~ÚÏ“zˆZ/Œcâ „ç9Í/}/Ïò8å¡pÊNšg«OR>aûaÛøÿ!ýuŸü5œÏ’³œ—5O1œû+ßq~Ü¿¯W;ceù>å´¾ð=×~ÄüMübŒKph´'ÿµy•ÿe(9÷õj·®Õ]ÿ¹ø(}.Mg‹ïå¾HŒ/}@vQÜ„uKÙ÷íüÛü5û‡üçyÝ7‘ñÑxè¾~þAëß×âè<§kËÓé~`˜ÿË~À#Ã=ÅÝñ¹ùÏg;á-£Ù³å)ï2ÜJýðñ2å[dWŸÿ4žL>}ÿ¢ûð¸~Äßc²ýÒ»Ùg¼×îÓç4¾TnWÝžsmz· ŸU\³úÂÆoí®h<‡ü£Æ'þ0äÑûîëw;zÿÓ^øcÙIã ÷#Kõ'{–ùFñs»¯OúÉÞs?äýy?¿[} qÝû«<â)Ýâiýo~ŸâØ©uWŸuŸøˆåËÓ†[÷õjGŠ{É ÔCù˜òEX àØ[—›\{ÿœÇòá¹îãÝæiZÿG¾Ú×yñït¾­>”|EGÌ£Sü¸¯ßí×¥ÛW×!oW ý1æY$×êLØwérû¡qI¿Ç5~e~uä„û^C>}¯¾ÿž?›cÙ•Ö‡iž¤ûaÝPã q¥yžü»ólXnî‹œûa}Øõ|›7ÿe^J_¿¾¯w9ý¾ä7ä9$ŸüÅüæÈ[îT;[ßm]@ã–z Ž;²ßòL¿þ6ßZÝó->ôõ3¿ýÇu_¯÷©¿Þ·u¥<óHr‡Æ× ­N2£u¹¯ÏûÄklâ³ìIëûmœy’Ÿ°ß2¹‡Gí—Q^OóhX?û©ÞyÞ·S׶z«¿í·Œ:ïçãù#ë2ì>Ýû“ýÒ[÷í{ V/Z<Ú÷K¶û$€oþn÷ v¦yêÓt?®Ÿéóò?ñÇaÅ•Ôè/ÏÛºΨïœÛ{¶ªÝ}½Ú­|²Ç3ápº/ÔÚ£€CC^ZŸ¤ñÞñèØk<.äyÃ~Ûwëçîm]†ü>OöþJÊWݾ-Ïù’kÊ=ö·ù.»Çôï¹R~4~fó±\´ŸôÏ…ù©v´ä–Ϭ2žDýû5þÒqy„ãM_õ·}½4Núxº^©ßÆxཽ]]Ë|)ƒõvyý=æ²/¤õù™Ô)jÇéGí-¯êö.„<]ëëÐ~âMý@žGã³÷{X²Ì_u¿ÅÛЗúí?~Åùp»ïE<Äö,w»»|ä›×çÙð†pô­í–øñ’T?Óâ¼}¾1ìMù÷¸lënëb¸Þí¶8$°úÆ1ÆCã´8–õévŽvV†uéÇqÁø†<ú~jú¹¥ÙCï=¦}<ò¿´Þ—ü7úYÅS[ßoó*­¯å+¹v¦ãº¯Ïöé:=ñ4ô’ÿ¼£ŸpÔÖ9Ý°õ"<3þx…ý{Ÿ¾?Îòá¦Õ)°^¥§õã£yõQûÍ¿SþÓímß¿í-ÿ?ýïÉNº“â“ö…»=ÄHï±ëäMÚÏ \“úGóŒÕo!/1«û)^‘Ýô»§Ð>]o«û¬Žëßë2|´ù1¿½¯ÏûÇÏ9ïÓ>Í3i]»Ì5žm“òaãé„ó÷õ»\Z¿/çcOV§‡yo³"‡ü^ñ…x‡í‹¦ó˜æc˜¿Þ®®ÿRœ|‹_[}?æ¿·îë³}¿¦uZò—þüëu÷1ÿšS|? ý`'>ßâŽùá±üžæ—öE¶ù$åçÔ¾Ÿnôï?¥<ÊäSÿûz·÷[”ê]âì×y)­§Óx½¯÷ûi~ >â ÉCüKq[ôÇvÒçð»×~Ø>âQ“«~—Öó†ï¶_Mëúõ{äv;Ñ®”WÂï=âx”}JÌ;é<ö”ÏÓëå>áÚg8k<¦Û_¯ý‡üÞn™?í@?”8 9u½äÿ£Ÿý_«¼§]qÚêO[¯´0|²ø¤ï»Y~¦ÿñ8ã0>Oãïã>÷Ó:¬¾¿óóÑ¿Ë«ëeÜT?ãQäWä·dGïoõ^Ÿ‡m²Åy“cÿûÖ5ç°:¡®)Îmüiþ:qs_ïãy1.Á<–½ÇöÞd²Ãx£ù7Í?½Èòæ¶nÜÖ“K~;âþœÃu2þØÒ?ìIyaèC>œG;Áý5&|êã³û”wéýœ6^±«ËÁ~ö}$Ò“ò’Çœþ\ü¥ÚÞ'F¿/ q¶ÚÓ>sèWc<Ç–'éw åûûz·Ëp8ÄDz7Ó4¿¦¸muåz~_¿Ê/{·¸ûæØOæMëTû¿·ÿèøïë]N÷Ãt]R¾Hqcã°y¥u¥øéã$|hßGv›¿=òëÚÖ…êßh_cè£y}ìFyËúùУGåö<óþõÞïØMy‡üæô3ÿ£vô¾Póã-0< |û„׿ގ˜·Üׯö¦ã¨ë4O½„§T_¤øDyÙ>‡0~lëbëIϾm=+vŸ#ÎgdW蟨æ»ÚÛüµqÅ~ ¸‡vöq€âëC¾ù™äÜ' ùnÉÝâÿ3åï†TGùýºß·uMóiX·Ô8»œ¿æsËp¿ôÝ×ûxà{ÉdÌ;¾ÜOú»Ý!n!¾SÜî‡uæ)úœ^ð½CžåßtýÈ/ÓúhË[l>hœ†ÛdoŠ÷t~ì+y©¿§qçÑžx ù§ñ[¿oú‘ƉæýûúhzR¼IëWâSÄSS?0žg~žŽO®Ë~ŠëzßxË‹Ïó4ßÁz¡´>§¿«µzB\ýÌ/€'R=§¿ïOí¥üâþz­Ì×9Ò|Zíé÷C¶ä7§i½ÓåJ<9ßâ|ÿŸ³´ÿiOíh½LNÊ·N¿ÞßòÔOýP» Ghß+Åó΋ºžsmó)ûà:Žî·Tç¤<ÁäJÞúϼý|¶KûuýÏõ9ÐÏé}¢)Îþ¦¼ÐöqB|øúQ:>óûûzo—毞 ÏDÞ9ÖüÎôlŸÛçDiþíë~_ïíÈ-/~/뎯y‡­£áJú½Zã9½½ý>h;âÇçLã—}tªS‡Þ4ߤûD!ßã~9ì§ø…÷aaþÿk~39ýÒ}òç4ž¨_·_ä–=æg¶ž]/=ï×ö{yo¸_fã¯þ})ß yLµ·ûö½jáÑ%âîÈ;çno.y%~Ö#˜èó‡4n ^Ïr(¯[Þµ¸?ÇÐøërísoZï-ÿ¢õ÷9ÆxBž¢8ÐìPy÷õ*—äéï…Ò¼ò–²ƒüõØoóHãêŸKÚ¾¸Ã¾ÿf<6­gÈïî¦?ÕcëiriœËýÕ²'ý|Æø0èÑ<ÝŸ’~îCü×æÇò”äQÝ×"é~ÐùÿÑÿmž±¸níÇ}›ß-~n?W õ|ì]óŠG›·s¿û‡}~`óßå}]®á[hÅoÙGã5¾gqKqHã;tŸ‚â£çâ{¤'ÍK7ø97ÕY?êšÖAìîGÌ“ ßRþ–â)ñ¡oó!ñUä·×ïò!n‡ý_æ-”“Ž×ôؾNº>ä„Ï÷õÞîܧ³ÕM°OSzAÏxNþÚÿßü²äÿHëŸÔÿ _Él>  ÇÌo„÷U{{n|ìö¤¼Ïð/å%f¯Õ&Æk| üµ·ýÂùµõév’ÝÊhßÏâOümØóØ1ô¤ûáz9ïè{ 4ߧÿù?¸tˆ¯ny¬íoÀú׵ɷÏ ïm½HÏcWÙIu&Å!áèY§Óßò/É¥yIñÍpä¦u™Å½áÀ¹ÞæÅÓ¯Çm»¯ñÚã1ÍóGÙoq¹Å•oyˆá;ñ/òÇûúì'ùŽôR{ú~\?”×Onò)o }Æ?d>ÿìúýë_ÿŸÿ7ñÆ¡ßö[ÓçægÄÛîë]Oè×%ÇüÃä<+=)ß%ybÏCvS|®§öCüÖu×K¿'2^"ñ‡qbóücÈÙúï9oׯŸí{Ä+-N!/Žþ–W¶û<”ßR¾c|Ðò9ñg—;ôlùë}ýn‡ñ7ù×·û ÂKJO»î‡ú äSk?ä÷u–ÏχžPÿÐKüðªýßöÌ–~ûwšu\„ã„ß}Üô^;›§Ç>¬CÒzÈø´ðçtßAëmáEýñÉêá°>×ùIñ)ÍK´ŽVÇÙÙò$}>Ö»’·Qo¿)ߤ3í·PÞ4þCq(õÒðWò«.Oø-­ êùQõëúº}GýZqIò•úÿ–×y2ýØò6”#ë1ô…yLñö•U_Zo_&=_ß·õ´õOqý´OãÒxµÅåv¡Ë•þÕ¯·—º :~ˆ×ÑŸpÂü=Œ›~¿®mžm_Fæ ã‚Ú7}Cå5±?®»º<ã—4Gü}ÈIùýÀ¹ëóÜyá§ù#ï¦wûû-ãía>?~O¯Ÿ-¯Ãÿ“Ñó4Ÿñá_£_Š Íèþð+Ï°ë¾ÞÛ[ýbñ,8ZíA~=·}Ë«ýz[Wý•ïýué{w¶^dï}½¶+½dŸý/¥ü¯t—×}œÝ^ò{ç´î¢yÿ\ç¹fÊKëûÐnåÛæ?°ŸÒŒ[ãi=z±®µügòÓù¢:Œß[½†8*ü¯e\CÏ}}Ê¡÷‹Úúvýô¹ô=©ßƒ?•>‹cÁ£º®£Ê?vöýø½*ŽCxÇh'óÐø¹ÄÙ¡õà”ò!¸v¤õÕƒ)/‘ü6Ú‘Ýd×}­Ú×5à·§®ž?ò äG>áK×îKѸ·Žã±–oS^uÔ°7Å_¨#ûxê¹ø7êƒ~Ô¿ßíi]CNëJåmßý+ÝW ÷5O§¼ßöãlŸCäv\v‚ã9Í=OÛ§xF|/Å/›/«¿%_Y¯§Åùío]Æ -~ï뽿噧_]‡y>Þ ?€8¨~iýcøeëò^ºv?öû§fW˜OÈŸûõè×ö•†ýÏý±”ÿ)O‡þR׆Û)¾X1|ì÷-®)ÊûVé¾þ/ù‡ádš'%oücrïëÝ^â×°îýˆëÐÎg„ç¡=a^ýÏpûK<¨ý–ÿÒüû­ßX|ny+á¿}?ÓæGxÀ°Ÿò©ñ Ù—ã¢8:gÃgË?„÷´~Voš?™ÿ¥|ÃxPÊ¿Ó:9ÍW׈ÿæ熻÷#§¯¸/Š8äœsWÊ3–¼µž‡8ÖåÅý)ŽÈïë]¾øÝÇ|o¸)øÒý~ùKºÏc~Ø÷-N…w¯y¹àühOó³ÄÉ~à|m÷lßÞxfÊOéw@æo$ÏÆ—Ö“çþsF½æi~;úli~“âñ™¿º¦8OízÞ“R×÷õnÅïi/z«½á5ÕÑé>¹åÇ_­ëénßÿü×ÇuÉ_òB?À§1Ñ‹íïëýyZgÚ<=òc¼ë¿C‘ý7´ËðÝêRùº~X¼£ÝƇ ç€W»ÒýËnŸ¼ºÚAÖsç}}¶3?¦ùH¿§vž§ùCìú6?Ñ~ë|ÖK£¾zìØòJ³¯Æaó™ÖÛ}œiž yô~YÙßP¾eñ õi?â¸2ü³u±ñß×ïãø2ö#΋v-û2£]Zlùˆð.Ü'±|úåþŒþ¿ƒì›T»”— |úùìw_ïzG^úùlêëö*ºhÈ£u Ï¿åiæGÆÏe=QOŠK¿‰qÚp3ÍsÂûþmõÕ)?NùIˆãC?å«ÓšÝCnºž’‡êÚÞ Û~ïÕåX½Lþ[r ŸôçéþGõ³ÿ—°þ–_Œ¿ÎT{‹¿§_ÇõÁ«(^{½þWö4}ÃÎó|»ïò%›ïÞØMqGxeu,µëö´ý ~Œø¶¸1!9Ƨˆ÷PÞ ùiz¨=ÿÔ>Ò—8©ù-Õ{_¯íú¡xù±®É?eßÁäÇã$œ ;ï¦ß긧=òwá¡Ã®Ž›VÿNY¼öy;ã9ç–gK¯å×Ó?¬û¡ógõnºòÃ1m¿¬ÿ ¶uy:~Â%®—\ú]Þ‘ku¼ðöÑÏø@ŠëK^n“ÖAfº&~B÷µÝ}½ÊGyÖ®ÏäµÑ?å ÿ©ŸPžÞ_÷Ûç€j¿Ôs½]ß׫þnŸÚAyLøAדò²ŠÃ¾¯| ôœûßò`[Oâ¯)þ¦ùü¾:.ÒKß÷2?¦zƒÆeû:–'Ržuî÷Ï÷iÂý¢²‹xÍ/ÍÃéÆM=Oy­ÕÝÛ}žž‡m>—8¥y;Äՙǯ÷ö’‡¡^ê·^ú¿Ûm}aï»Nãië7)Þ ÷iœ)®öùzôt;ã}‹ƒ¾_Hxm¼›êàn¿í³|['‡þSú(¿§ëcy‚Ú Ž÷þu½åá4Ï$w[‡ÎÐüè÷Fd¶o‡u™áQŠ7!¯Äßï™^ŠÓ-NZ¾´ü,|–⻳®)Á~c=7ÿëë°ÿþù àÜèÖ»Ã.á™8”7¥ž¬þdO[_lì4Jß« ë\Ã…’G¼Õpw‰Ç1Ÿjy~ô·x3ûÉi ”Çß©ç–ÇO?ÉŸCŸàdµëîÑÞòåYÃKÂó0_¯ó,Ø1Ú¥ÿÃeù…üí¾>î—~ËÛ!ÿã!¼ƒÏÁÿóüÓN«“è¾Ù9ÚÃø«Ý¨š–ßSü1ÞL¸aíéùÓ¿³_óxò[ÊcUÿ´kã]ÆËSþæïoñ!Ö{_ÿ>ŸßϦñ/|IóÿÑkëEø@þ)|,®ŸHžá°ÉKq‚üÜæ=]7Ë{Tçœq¤õ2­ý ØQúi¼G^ʯHNßÖÏi_/ÅÉt> ¯Óx²ÜŸÛ¼NÐüõëûz×ÛydÅÇÏçµØÕ­çÿ)\ Ï%Oâ$íßõ§.¿½ïñRp‘ò÷ˆ»?RžNñlñGõ_*·ó3دAžjù–â×øüOP\§¦uÚ·ø,uv£ëK¿o+¸”Ž£ä…ùý³ó\ã{!Nã¸i=d½JN¯Ì/,NÒ8þÒîo5ò§§ÝšwÓïW¶õ¥ùYÈg1ÏY ®ôí¹¯wy–g-¯„ã‹Ÿ›?>íË.ȳÃîv¿šwÈÿÒ~„KoÑþ‚ÉmþPöŽ}[_¥ã²<“òÙ—îëßgzïÒÝî÷<–ÎǶ.JçaË«Œ7ˆ¼~PûÑÎxEʯ…ç }GÎ9Scy…î/ëº~¯³µOyˆÕ6ÿç>å¿-?·}¤¥ž¸¤ÿ÷;º¼~h>#žÆunõÊ9‡|­ì2>dù›üÔüŸx‹ì¶¸ìú÷K®ÔuˆGÂ'‡Ý÷õ¯ßŽ!§µ×|Ú×íŒëLËï!^ ;Rü¢q§uN8þûzÕ3Úîü|öƒø¨~4þÞ?­KN?‰Õoó"ûô;Ñê/¸Pí¬ž²ºö~·#ýï°§ãJZŸnë(©×†=ÆÓûºnÒ|.ñ&æ÷÷õn_ß—¹Ûµø«®O—g8³Å#Zù>-8įÛyÈ3ܤ~†ûâC¿å©WŒ }'©=‚›šÿÏG{ZïÔ¿ŸkÛGèvÄ8'ë?Æ‘âÚ²>~v_¿Ê<4­Ó¶ûÖÎä[\lñIü†öãÎ÷Ó:Ax˜áÜh'x4ì ÷kºžº†:sèÿî‡æ%¯UÜ2=i=Hóòµs?õëêL‡Õ5ÕÎÞ‡“ÖK}>¯¡½éºQ¼ žªŒ}ÔŸßõ ÖqÝ×k;ígó¾¼_ú{4Ooy~XW¨ü”ÿ¤õ³íÇ¥ï‰Zâ¾®O˜ûÓö3m-ÞŒïÿlu*Ž¾ß‰zï÷öq¯ò?ÅÃÞÐÇ}óÿnŸ“ÞËBŸƒÛ|ýÄŸSûkœ6®nÇ–ƒ”~à'ýyŒSi¹åÿ]±|˜çº¶¼dø’>þ„ó ŸûhÝòmßôçV7Óó#Wøvü|›©ñŠŸÏkøâ9(¿ôëSi~Iñ?ÌtPýlÇ–·~–'—ã"¿Ï·þ³½ÿO­›Å™ñ ÃÁ­Ý©½Ãï¯L^È×êyÊ÷Cù:o¦8EþNòZ»~Ìýæ볟ðø¡Ïöñ¾ôKóÓaG—ÛÿÇÒò„íCôñÜ×Êþoó`? {»!¿¯{º.a^¯çôÞ{òàC8že½‡|Yÿ~мõç¤ýêB•û´S¹§ÕVדÿnùcȇuœ)ÏÝú…¼÷ÇÑëÌÇnìguç/ÉŸŒOR<™ŸZþ5<°ýpãSVoñh™7l_ ŸË÷ Ïãd×Gÿ÷iùÃöCîëó,<Ç~0ì1?ßÖ´'ûࣽùÅkúþËåÿÿêð¬çqЯv§ûÊG®á¤áê‡fßcéQýÛý!áƒë:-Å!©W{ÿ!ïè;ç”P;jä[Üw? q­úS¾5³¼!<µî»ï«}Š'†Ÿ4“wì¥yîyßø‡ñ³Çp<åÛÄ—îëU~ÌC{ûôó·ÚÙíJÏ2~F?Oê§Ëú©ä÷y0ÿ´y;ú¡òè¼­CÞQ×”Œ_o<íû÷Æés&úÿÄ-N|/ò½µx~ ‡ ÌɾÔ—‡\²¯¿ˆÞ§gþ•Ž'­ƒ)Îúxîëý¾á0å«‹Å/«}è_ú^q²‹—÷õ»œöÇa¼p™GPùñá”W _ŽyͧÔ%i½Fö”\Ë7åo?ïzŒ·ŸñÐútù„Û¶@üÐêŽfçÇ°óz¿o~Hþvì8çnß9K> u¬v4àWÕÏö›Œ¿þµÞ‘<ïX§ó•ÖÃiÞvŽõCù5àu¿ŽótËGC_hÏ×þLþÑã)åKV‡Ðý£‡Ö­?§¸’s3Í‚ÓuŸäK}Bruê¾>¯·<.¬ p<ÝÎÇ«ëôyˆ[(/¬ bÿÜò(ªçh=ìwÒæG~È«KÔ£ÔÎüQýKøü×<“üßÖ7í·Íƒ)ï%¿5|¿¯÷q-óÀ°—æÝøñWäÅ×G»Òcïµ1^eþløyiô§q_¥ñ€œ~ÄqauÅß±3Ío§½ÙÕûŸ~†W´¾Æ÷Óú£ÛiøKý-žN;‹Ó§Œ?Òï6i\†w½ý²>ѺÄpZêåŸi}’úQš?RþLxhq’ò£ûú<on×ý¾é©öᾂòÂã—tîv|»~©Z>³ù>öJÝxFqµÙE¼ôÕsÚ óy®ñ°­‹¨å}ËÓ)}Ôg¿Jý,­K-¾ß·üüK^óÔoówÊãR¿¢:Ëøz˜ß°½å£þ<ý\˜ðÖ¿žK\hÿ0w}¨ßì°qÚÿ~ïÛò©[ô…ñØÇÑà ­÷Ö/Ó}«»m~R¼¯Ïk{;ùí‘#~Xýw«ñÊ”?/õÛ8û¡|úé×GÿtþivO|üùÝŠSó3àSԿߧCç‹ðü åïrRž*õåÑÒ·åÓ©?Á|–^á•Æc«ýcg]S;Ê[PçÆ3Z}Ïà‚áq·kØyôZ#¿±ºßêú4>R?&<5|·÷äZ¼‚}¥Çð‰ì2¾ó]rŒŸÿCë3ô?kvСü>äiC.å’oõñÿÔßlŸÈö9¶ûn·æ½ô´öCˆK½ŽÇx4É¥ß{my̓Ù'uå°ÓðÄþÉö ,_oëÙgRœú‹Õ_Ûú;䚧Ò<˜ò;©þ\Ÿ¤~ŸæIãÇ&ßì¦õº¯ßí¢õzúÅyIü¬úS\}–žvÃÞ_Ô_4.Ñ_÷…ÿÄ¿w¶:Íâüí1¿ìv Þ®ûa=‘âÓ˜‡#GâjØI<%Ì_$Oï›_ÓºNJ½_÷[œöG„²±^‡tßà¯ufx.»Í“ÿô/yçÆ· §,î!·}–mÜÛù‡|Ýõõùø’_Tá¿CGû½ÒîC¬óA˜·†ýô¾x×r«]:.‹Ëw³7ýØð½¤eÇr=¿èºËûïÿ}¿oømí ‡)Þ¾Ü_ªû–¯S>.y¢ÚÃ|ôkŒã –ï}çL~C¿ýd<Þ%¿Ãy7~Iõ’ì[õ#‡ºNëMá§]~¬p û¯~ŠvÀï߶yçÉÖ7õÛtÔö§È·<…pxÌïõjWÙcûÆ“lŸÇìL÷‹ —e`ܧ|ÔÞ7„þ/õóüæçw}7Æ',ÐzwxÆÓûÕõó\ýÞxñ¦”§oùÙÿ¿œm<²Q÷ï>Åö™Ú~ŒÓðAëÅ¿âñAÃÇ0>Õ^â'4ÿô;œÇ«}˜—FûÔ¿»¼ÐïQ¯ð«~¬ýnWê|Ò7ôÈÿ}äwä_÷õ»„·8?ïýíLyúÉ£¥×êGÛ/ëù7Å-ª¨þ¦ü—î³þR<¤¼‰æÉæâØÖÝò¹á¢ÍkXë~¬Ì_Ƀ|ÕŸ«žÎ—û êO&/̧]êKý…æ‹ÚßקÜp¿NñµËmÿs3úIýƒz¤þA}'RïtûÔÏÓsŠ/âgf_=';{;ã1Ï}Üo ×Ióªù™ðª¡'Ígæ‡Ä{äýDh×£÷?r®÷û–oŽýKžf|2noû~ýLŸ',ñÏΣý±ËâÑæüʾW•úééö?6~ÿÔÏ8ÃÊãéx«­3­oSˇßîËõý&ËôœüˆììxIûºéü§ã—<<ìÜâ»ùqˆsŸÎÙx´ñ¡0o÷~uÖñ).ÁçD¨?­3ÒõÛòb‹{Z?ɇ%æ­žŸ:¢óÒ“òÿ×ÌNµ?Í+Ïx°ŸñFãݤ—Ö…Öµ¿ÝW>ò¨Ôe%OâÇcõ9í/QÞIýGö”·¦|_xÉš4ÿ臭Ïh—îß@ý€òÌŸ—±ë4îÒ:Òpì¾~— ò»œ~¤ùÙð/懰.¦wÈ#µ÷Ë„ù·q=Kñ½mÆÁ°§ö~>û™\k'þ[v˜š ¿§c]ÇÑý”G¾Þ×»=6ŸgÃÙ'èyºʇÈRÞ·õ«ûz—ßî§çêùQã‡ò8ÍÛrÿIßÖŸS6\³ç´îþÑÏpÁððv‹?é~„ľ/a‹ƒit§øív›Ÿ›þ-%¿hïiU\5<{»¼º&¹÷õn·Èµ<îT?ÛŸüëG\÷Ÿßém÷ÈþЫ}ºD~b|Æ_×÷õ*/ý^©éz ÿ`½»ý8OGñÍå>-ê¾1úY\?±:b[[|[ž0» w'õCó­Õ…÷õ{ûóÜì“õª~â)¯ñœüê;µÓö³,ßwy÷õª·Û9ì?UÑÇûØ¡¿÷†õvA>ã\Óó±7̃ižÔ÷†vy·×| âŽðãÒòªít%{ìÜû¥<ôõCyƒá÷Ñ#yuô;çÎóÓ|LóÝyùÝ®C¼Ýæ½aïÑÛõŸzÞ'ÙùÃÖïÓ:ŽüÐÆíë¹ð˜XòÊ7w†ËÀ“Éþ~¿®_†ùŠî§ò5žîëwyRg }Ònô3¼3»bý„)Ž[]v_Ÿ÷-ï¯è8cóv ;»}[Ü´:Þâ:å?©_ïëçûZµëvkþ6ä¤8^£ÿ<ã°Ïëú´'9†;ò¼ôH#;5oJݯ¬Ç°ßÆMù‰ÚË_ÈχÔ8R›®ƒôöù—ï¥U;Ê“ÐŽúõ#æ/†›)Þ§¼ÐêÿÒz”p¥OeYg–|ú+oZÇ ž÷~Ã.ó+ÁoêWý­N»Ááe¤g˃b;—û+%'äKÆëÉ>´×pÚâLøÆÐkõÑ’/Ùþxׯö .Äù‰üÊö…Œ/qLßóæe«s)OQ½¹¬Ÿb¿µù‘:ø?ãùùì/Ÿ‹ÆuCÈ›ÿcÇõnŸÔ!ʃÎy;ÿ¤7­WÒõ³û`oé³xKÇeýÓzÃâìÛ¼(õ–¡Àí¡'å†kÂ#†ü´Ž yU?†]ý÷rdï2¡¼Ð_ªo_ïzCÜJ§äŒƒÇ˜žznó-qCöis_ï÷ÅNú®Ú}™‡žÔžíz¥ñMúÒú,+“·ÍwÆ›R> ¼Yù­ï}}^Ë|Ö5ù}ÏÍø#ÉÿÖ_Ãü¥çt?uéq6“úaèOñÀâÝì´qJ½Qr¬>(¿ûy•ïW}}<îûz—ÿ-¿·¼#ûSÆ“4?Ö<ï¾Þí³ü'~G÷ǺÓç϶Ûñ,­?d½K¾á Õ1Vo„ï©ßsayˆæpáèÝæÙƳãñâS°®ýXϧáíË…ûuã¾à£î^ÚxR~Ýâ¢úw^kûl)/¿.ýăÃ}[_²¯Úÿµ>°ºMâ­š¯ §{\¥¼!³Ð/PNZ˜\ŠKÚ ãoÈ·|~_ïýÍoN?²¿ÉÅ8µqÙºÐ|§÷Û8Ð.“—ÖY[lgÛ_Xò:õ ©+«ÍבâQ×;äé×Xw€ý’¯×Åê%Ë÷4¿çLxÞÛþ÷yëßOèùÐx+àC?Ö¼6ÝOÜ®ç–/,?¦uÄ}½Ë1G<”üÌö{„—|-?ʼn>Ží>éïü>äUé¹ä’ÿ¿’ý:FüOyºåÝ1žîôû=ãC©=dÿÑ+ãíÇ×ã‡õrmß*Œã«½åGã#gߘpsÇ>ŠÁƒØ¬^ž{èûÈ”g‰ù×}}<ãéy®µWÞãö-ñ§Z·ï1~ãúmýɯ¬ǧþ“âAXïé8ïëwùíù̶ëy^Ö_ï[}iñc¸aõAÊ BÞ0ì'¿6>”úWÿs­Óõ.ßò²å£ÐŸê¹Ô!¸Îw³7iÜ‘¼G¿Õ3)G?–ÿsªö¦Ÿxyˆu-qÕÛÙç}ò†gã¾ð´ƒâûÑ£qrÚ_ë‡úë‘×õ§ø,~ˆã´yïó´üê÷è­û’RÞQ÷ù1O"96ßð;—.7ÍñzÏMó‡ñjãS÷õÙï\•ñ—x¯?ú•ÌóhOøÖ¹¨¹„óiã¥ý1ã/i½šò^“oqLxÖ‰uÝöG×rl¿ŒæAö«h¾ºün×°ÓðȾ/i߃ªyüy·#Ååe½Uý nVžeùÜ®-ï ^V?ûߔߧñ×eOZ¿ôu·ù‚ÏQëšòRŠGa\–\šoãuÏõ°;Í4Ÿi}‘®{º?`~qrâ9P·é¸!•œ_Æqc³v²ne7Cêâ~¬óå}[Oß}½öïvÚ1æ;­×-?yáºu»ñûÀ‚Ê;Bž?ônùš7Ò³ô÷-Ï/yw—Óĵûz¿/¼¬'Öq2ú_¶û0ÿj·äµÑ.­O(Oo3ü—ñR½¢õû}}>§÷PwÊS/½~ÕOz1OÉõ°oÉÏûslì;gÊÃÏó’Ó¯É_Â÷ν£ý±3­Ó:dë×ÇŽ”¿XœA~¶}åj_uüÏ»}VŸÚüHý0얼ׄ†oO»~à¼ÞÏ ñ´ÛÕõ»ÅŸÑþc×9¾Ús©£â~Ä÷$ú5Î}cy°Ù_íÒx {!®º]ß°Sꌫ4ßØ>Á‘Ûõv})®Ãï9ë9­[Ó§öÓ{œz{ú>ûŸo¬# ‡¯Oý)¾¤u¡àa·§®ïOûÕ¯·õ†ä½1ùÎûûG»m½Ö5©Ÿ]§[½cu«Õ?`WµKyˆáùGlÞhž:/º¯÷çç>ÉíüÜp’ö9NøܼꇼÞ~ô·|J×Ë8/½’/êZøæhw_¿ÛCqcól<úUÿ´>%ÿîþaù:­h>M~÷‡n—ís[\WGö_ ù•öOýšæ?ä1Cžð:ý¿îíYê”’OøAyÚòá}}ö{®µ·8´úµû;á‹åkòsã­©½[Ü“ý¥ÒwžŸsø{6ŠgÊé|Ò™Þ/µõOãi¾ yO?ÒüŠ~îcu}Û#¶Óø„µ ãnØeuþ–ÞMžüÏZ?ŒGi:ì1¿³y£ÿ µuZÖIã¾üI]§~Hó,uXÝï¿¥ü•òà®÷Ø•Æé¥÷˜B[ílÉ~©×ù ô¢V·oýÂò¸É7\Kõؾ˜ù¡µ§kòÉÕÎâŸâËòðΡøKÇèwÚ›½æ·ÿåOôwÛÿÞ^ížëëþ뽿øÕ°Ãö ?†=¡iüÑï”,NRüØòzžòE‘{Ž˜on¥q|_ï÷i= ›¼1?ô¿ §_o÷Ü/»Œçló ÌS=·ñû´7®×R>¼å‹–çRÞ½åóÔ^òkÙ±ä!£ß}}Êo¼ªÚ§qmz{¿ÿþßßí¡sowäµ÷å ^ªÿ‡JNX— ½¿„ý:¬³Ñ_Œmy@çO}<–GC>‡í¥^é‡Í ùgõOãöÛñ¦xâÕ3ž~|ë÷†Oj§éµÿUi8×k–ÏCþÚÍ·‚StŸðfè1þ¿¯ërêxêµ|+qP×ô~O¨—t[xä×5èAù–ÏÈOBœ¢~È/­~ ùþ°ÇxŒùeÈÏuÆðÙøŸÝ72^'¼¡äníJë%Éëký²o×s’çpÞ gª_ȧRþŽöôù´ÿ'¢u¸¯Ïþ2Ovón¿ß6ÞGûËé|¾ˆþ’Këâ Æ™Å}Zõýƒ4ηû†W6æÿÄc·ø(¸–ò1¬ûRûÚó’kvlã„ò=ÄãÚÏÃ8ú!Oiþ¾¯ÏçýšüÌÖOxðpým¾R^’æŸûzo~QýÌ/ÉïÍ›=Co·w×ä·¶^ä÷é~ÌW?ô}NâÇ]þð¾¿Ûß#‘òÜÐo»=ý0ž7Ú^÷ç÷õy¹Ï0p/­ƒÌŸš]CŽå]ú~É·úü­_+O¢89vY¾‚u$»ú.ey@xXµû‡ù£½÷,ÖÛõt¹©=†¯)ŸóSÊ'Jß3®˜O“½œqŸò”åmX·!ßÎ4ÇÁÒGþ qÛíÄë”@Þ {È­£Â}®¸n¶8Ië¡íz§õXŠ?ƃ·þÎC¯3ÏÇŠKf'ɽ¯wyÄcÉ{~îr­î%¿ŠÙ±\‡­Õî¾~oOú­.“ü7ü˜>ï§|eõ Ùeñ+óŽúïëSîÿý´ýL~aóŸâ‡å5ÛO¥õ±.’ÛÚé8`¼8Žt¿–üÝê j'|ý ü²® ç»þ”/’<ªÛx»½ô{­~ÐïÇéXï7_œ%}uŸÖ ü{ôyñ~Å¿½ß¾¯ïcï:õ~iüQ{ãû¾sè÷1þŠk}œ¶o`¼ñÈ1^Iã—yTy’7éP¾AûAP)¢qÛºÒ5á½ñ+‹CÒc|òt?Òúh´·8êøûèÇ83¼´º‰ò¤à®æ=êo¸E~*~g‡ò>¯å‰ûzo/¼Bñ×êhÂó\òxÌÿ¶¸f|Vø¾Õ Þðwp_×+Ë:õ[<öÒ¹ÿ£Ë¥÷0Û8Kþϧ=„ÿ÷õqÆö§‹ð‹ð›üžÖ¯óa[7±Sí'œ£õ2ÿ·ú÷œ(~­N~_ã@¶öÇÞ× ^~Ø÷ÒÓúÉø{(§ì²u¶º>õ›ÔϨŽèv·ûˆ'¡Åë`ûZg6}¾iœ„ûfOÊÇhÞàýýкšâÄpÏpÁò6½Ç)õSó‰#õC«óR~Iuõ}½ÚÑ1_4>ú\òè qõ“¿v9G_oçÑ–wš¿¿!}a^T=)¢y{Σ½Ô犲¿WrÒýª7)¿R`øl<=åýßâÌù>Ì}½ëiëWÏi~(.QßÖ߬Ž°ù'µºÊò.­‹­›ñ.˯[~ü­¿Ùû¥ÁF;Â3À}ê‡vÓç(2¿¬Þ„uv îökåãÄ»mGøä°Ãì3þOóMõÕ Ûýƒûz—Ûï/yt|ù^ÇâžÖÃøã’_–ü'ôöˆ´™âÆÝú?Xò¡8lñÞê&Ë/„×Æ©®´¼tÚɺh…<·Ë×8€ßû•œ´'>mx~3Æ‘âÃÑŸÖ×–ÇÁ¯ê9ÙMëxì#¾l÷SÜ3œ=v.žv–÷Í.ð£awZ?uû/€ÿõöÝža'áòcOµ ÷HÏcò GŸþ1^Z^{ÐÎcG·ÇòãiO¼ÅøžüO˜Î£á±Å]˜§ßÍ~«Ç-Ÿ}ð{«~èx(ßHÝ8ä ^w;'/úù÷ù¾>ï?×4ž~ öûê´n°y³z2å]]í³Ü×»ÏýêŸúAÊÿÄ?'Là]õ7ûý£}Š²^:Ž/ùtɵ:Î÷õ!wô·ºÎì´‹X‡!ÇÆ·ÝŸ!?¢÷ù“_A»ÿøSÓGqvÚµßIŒöçþ×õ:ž²WpgŒ+ÌÛýˆçÞÛ-õZ»ŒN“ƒ=Ø_¾lyõ³õ&ÜIóNš— Ãùï‡î»…¼Òô)ï#ûùº?eþë0Ú¥ëFë(ññœÆiŸ¿ûz¿OxAy„ät¼'¿]ÖµêW!NáüÚ{qÅ?ãöaþyÿœ©ÞLëèðyÉ ùGü½â·Ú¼ŒçÄ[ÈÂyè‡ÉíŒQÜÛ÷mýˆ§ØúX|¦~Òò ê‘úhÈ q7Îw)îH~NëÒ˜_nØ:YÜÛÁûñ«Ÿ½ÿðKâbèYòÍÑê•Þ®Û1ð¬ç¹ßåj=!|ªÊ¿ˆçK^³3éǸ±} ª)>íû"„·ÇÎ-^[¾7}64ÿÇNŠóó<婶_µœÅ¡c_š÷ìÚâÀxŽ­›ñoÁñaø/Æ¡¬¶ñx‹78¡½k¿OýìêÇhw_;{—þb¼óùá×—ó?ì;òŸs='¿Ió áèUžf<—äš<‹ç-®¤¸Óq"ýÿ¢ïp<Æ£¥þriŒ7S|P}Mòl¤ÇêKÒoù.åi¶^ÿéx oMžáͲ~Äñ‘ôïuÞק©/cþ@~mã&ÿ“ÿ—B–ù5û5OßWÖ.ÅÃ× œm¾]ÖÑÊ—l~i}¡.ìvÔ5Í“íÏ<÷5?ÒóÔ/h]ÿû_Û•¶ži½aøoü5Äy´Ëð1Ÿe½Qã x9úΙÖo)_qmë7iþHyÍ#Åé’`ÿí>%ÄyþuÞ¶ë?âç°sË,¾R>úMÙ ûv&ûoóÉ[Ž«è‡T÷H½Œr OÅ«Ýài×ïrìûÏ[¼º¯×~qË+i^°ù<©~Ç‚SC¿åQà#CNŠ©Û{€ ÿS^g8rË>ÃïîÏy´·õÞò\·ãØ—æ믇ýGè8aí·ù“î·}•xž 7ÒümüŸò[ÃWÃó7¼¦x¸¯×kŒ‡>îs¿?Oëê->ü5oØ÷aÝ«?ØGÏë~Ê£»]m<(ßêtØ¿í¤®%»ª}Z·~ùÂS†ý§_³oä%ùþI]‹¾¡_üùRŠ{až&{×û&TG˜<©÷Kž}Èô‡ûSšdOïŸKóÕ áz)oMñ9ÇmÝ õNÙ›òÐÇž¦ÏðÈò¹ÖsŸl囿¤ã |bqNñJ~÷m=Ôìªv¶ž†··/Ûz-‹m¥ü^òâ˜ñÚûúÕž.¿˜ÿ¹Ú¹ŸÐûÕµÔÓ£¬ïhOyˆâ®­#ê—ÿ+z é÷÷ýÿ»Ýç ëˆxxž ¿/½]žŒ{Øk<ì‘_÷Éÿ4/i}Bï­I׋ÆAü±øåÏ{?Û x5¼å—=÷õymzH¾É óÅhoã#¢¸>ú-ßÚ>Mê'aýhxŠz¡~¬ë>þŽ;´®Ç^˜”GóxÑíT¿²ýÐú¬¿ÅYÊm¾íÿ°ŽÔßòùuj·åGË‹‡Â'5^H.å9‹cð‹>Ãíj¿Ü×°ºšp¢Ë×u5E8¸Ùí§ûqþ5~fùŸîÃÿaj=@÷%þÊÞ0NzûºëCóûúlׯÓy8çVOk|Y\J½ ø•Æñ³e>÷ižžö¸Ä/Åo o1ÏYž ¿7{h¾ýhÕEöy÷W_¿6¿0\’|Tö½á{PÑOŸÚ¼ÄõéOñ>̓i]u_ïz`Üý°}•ÑÞü6ÍK˜W®÷ö„[”§È·|2å§wì=V¯ló:Ù¾ óUúL®ñ\ð³˜'Ûz¦¼€òŸåò³OlSþ¿Ý7°:[x±ÚAyÛÖp ÊÃïÎÙöÒz3Œoâc\a¼Q½dû[~'óŒreÍ>íw_ý·õ&) {%oÚ8µñᵄ‹ýˆãöèIõ¦uË·üáä±£×ä[~#Ü ù´qÀ|þÍ~³¯ž[º²Ïø²ÕÉË|8Æ·å¿Ö¾Û}_ÿz;4œúœxwêï4é<Âxbžlü/åað~‰’—âbº”ÖÕð|Ø•òQÁ«>.⧦¿Ë!¹¸>©}˺fØÆ[µë¿jo8cyÔê2Á%lû$Ãn’o~œÖ)o5¶8°üÙ÷eîvòt>ùqßíI묾Ζm}Òú¨Í«â¹ÌC?§ oÇu^ŒÇؾ„ùá­ñZ¯£‡ÖµïööÛz´ë•ºEù³á½Õmi»4>Ò|gùÉæQð¼®ÉÏ,/P<¥8oóm¿G»Ûóþ~ân7½Ç1Å5â†w‚/Êúx,Ÿ¤¼6Ü/Hí¯þPgçÛ:Þp¶>òt{ÏœúuÊ«RÞ•ÆmÊ—,ŸYÞ2ü¦õº¯½ñû-–þ—ÖGÞTøácñh×&=K¿~æŸm¾ŠóÌOißÊò¦à§ý.»_«_¦~—úÍ‹á6­Ë}}žÍ_Òuír ¿¬Ã4oYý#øçñ4_¤ù=_ñ«²'Å»´^!ýý÷ž€Ë%ßæ›ÖùŸâ±’K¾åÉ#÷œÉ¯C^÷<â«„ÿ’¯JÎàµ?ŸòÈ¿¬^¥x°ýÓ{_ïúŒ—ô÷cuyý,uƒâ-ù3ÍCºžf×cÿkþq†r=V¿V±7Æ—eý»Þ0_×xˆW¹°ƒ<Õüð¨®éÿEi>Ⱦ/ùpŠÝ~ËÕ^ìrˆ˜¼8?S¼[nyLxx×cq3ìHןÖö¯ ǪÅ)áà2?~ŒöéúnÓ|˜_Ý×Çyô·ÿ£ ×aØoþñ-þ[¾þGõªú+µ'¾yÚÛ¾ÕÆŸ¶<†æ¥ï»“_o¯Ûç!h'ŒÇÆUÏ-ÿ Þ’µ#åq)¯»¯Lžå9ŠKàÁÃÏûót¿ÃÆKþu}?P^šwzmøJ÷ÃÿÃ¥8Ðø6þ"vê~ñ[Áy[1žc'­ø…ÆYZ‡X]xî‡õ[õKqˆð¬çåþ»Záõ)¯íë0ìíÈžG®[ë/Â;ã=Æ÷l]  ßBþ;ÆÆ%=Ç~Çn«;Ãú@ç;áó1¿Iójš‡»ŸŸþ)/2¾Ü®û1pðngã×­ÝxNö‰ŸûŒ'…uúÑ—õ÷º^°:WâUqÀöǶïÜò»ùò5³Ëâ8Äýx?ˆúËÿôCó6ÍÕÓé>ùÿ}½Jö†¸ÛåǸ~Ú§¼ßüú\ÿÏ}^“]â_ýZq7Å›´®0œ5Þ“Îcš×äy?Òz„Æ7äß ëváýd¿ò>;˾ é­û÷éQ9Æ)~ÃõéööÃòÊ3üïí·¼"Ýo£z¾gXr¬Þ'>JöÛ{©Ìéÿ|H>Õ}>îëý¹åǯcÐæ±äŽ‘ݽÊ÷†ý¶>=î¨>Iå„<±Û‰×é:¦õµñ"ZWûž¹ñµåü÷þCÞißúYÞö…¿·ú%?UûǾº†y®çæg´ßý–öI§F;ÊWßÆñâ£?7žDòÏÙö+-_¥û©/‚¼Júê>}>ÛÇKïï·y>8ì'ýîÏqÄüÚúŸ]âë°—xå²ýC~Lýð{k”ÒõÀ¼dý·ù;œÿ!ïÄ ýŽ’p ýPÂã¹)¾ÜÍÃípÿ¦ú[Ü/Oý(Í?iýmužíëX>Híx{íäÚºX>îýèû»Ý>È%‡òï}}\£½¤xVÉ9òÃïm N9´^4>Z7òYסWêYõ×ÐgóGöÚ¸AÎèò}´ïôÛîŽY>´:Gp(Îg[¿²ºüh‰CÃO‰wÓ¡_ {Ò¼nrúz?öW»Æÿê¾àµ÷Ó|L~iëw_ïzšœa×2Øz×uš©""ùk}s_ïö“¼§½ñ&ŒûYQÎ÷üúm>r›þoy¬ã9â:Áê]°¿ô?šÿH]×厎ö‡GÞóýÌzþÈízG›'û¼ å‰6t¦ßÈ{WÌÿΡû-vßü°Ç)ųùÕ–oÙ϶3¾xc×)D<8ýžóßבÞÏ)ß¿«öÆŽ=–gR¼þ§Ú¥ïA»ëºæñge‡Öw÷õûsᵊ+i¾kv¬y>Í¿ñâÇ‹ã^†þR÷i|d_³KùíÐ<Ùï6$>)¿U»”·Ý×ûsáÚIvý´nKžj‡}¯¦Ú¥ùžÖ¿­ïÐ/ó¨û_4¯„Ô.ܯQkϭζ3Í{—䫯ëü,¯ÕI!/@û¬®4”ñY?³wô¿¯w»ŒšßŸ³ù[÷‹ó¾FŠË-¯ìv…yPù¨áÍûÑ<|è'3þmü°¯Ç±+äq½lûÆc¬> åÔýÓ/¬ïú¡x–îK†ùmô³¼cnú5Ÿ‹?t=Ãò£Qÿý¼·_ÖyCÊ׌·ï ^¼­+§§üâ±Ç<\ùî9C^.9–¿„·(O=v„óQòÁ~\7˜ÿ!Ïô’’¤û¹)îO9ãq°ßÖá_× ËxãHûÓüÎÒ¸‰/ZŸ%¡ç±_™ý6^™·²ï‘Û¯S¾^ý¨Ý‘g< ÿþçô3?¥ñÒþO·°C¯å}z/ùKoù¹Ú§ùÊp§ï_B< ½‚&?—µüýJ®Ì÷ö÷Õ.åÛ!¯¶kÍÓ÷õÙÞp×êú¥]†ãý@y©¤yk9¾4ï¨_†ûidoši\Z÷»DýÃ}ãËš×ɾ§¿ö3^|ì ÿH×{Y7¥üãÉòÿ± ì°Ãø¬Ù9òL_$÷ë¾~Æ7Ùßïv€{d‡ÕkŠó[ÞƵŽâÃöedžbÞ`öt~GñI~’æÝ¥Äö÷õª?ŽO[ç¡Ÿwý7ÈÞ”ÿ?ýû¡õtˆKcòüÏuÊ…¯+ÿ±x óyõ·zâ)¬ ú1ö‹¿å£fO÷»þœþ¯ë´§¼ þܲsȳyØòÊÒ?µí·zÁòԃݮ!÷¾>õ‡ãr©Žüv~Ãúýç¾Þåõ}‡ûóºúÞ†þ“ÚK‡ÅÝhùµÚ…û)~ ý´¾ižÜòÓp¿jرÕâüð+ãõä—².5ž”—X5? ö÷»ÝÕîŸZ‡mþ0ü8rl?Éøï6žÐ¸ûÿ&¤ûE”ÏÓù9g“¿­¿-ŽÈ¾ôÿÕR|Þ¥û0¯£ÿ–ní ~jï…uDû ×lßiû?eÛýÞïØgû6!/î×)ÿS¾•®ƒý?™øƒísŒû„ëToRýÙóšÅ½ß 周Ⱦt.ÅÊ“’‡¿­ë9åG໣ŸàýoKÉér 7úµáqÿÂ[õû#bϨw,Â8êºËëío¸OüÔÖ‘ò&ùSO›ïÇÞ’#|RóŒsô³õ‡õêöû§QÜ'ý÷õ®WêÖíïõ†¾ïIå»ê—â°Õcá>Æv§î·õ¨û4¯”Í ßèLñm¿Hç7]?˜ä¦[÷@¾.{Â}ƒ”GÅódüÀÖÎc\÷õ)ç\S{ò³­½dÿÑßׯßù•æ]áOý~]_O÷£Òv’4?§ïc³ýÃÑ´.K×Á¾ÿeü7¬+ûÏÏÒŸK>}j‹³ÒåKݤq&ï‘Ðï‹n ´„×–ŒÿÏMýç¾Þõ[¼,ë‘ÒKóIyü Ë£uNå!o$ÿ¶ÿK3ÿ|ô ÛzNÅy¼Ûóœû‘ò>Å»mb8Òìý3®ÓüÐ8ý_ã¶ù‹Õ}^èÿm~—ãRJëßûñp®)Ÿ›ž4.-^(…×ô÷Cd=ª½åÈgÕžðë[Þnï£ yfõK÷Œ¦ëjüv[‡ß׻܊GÃz”Ö/ÍŸ$—þï<°¯ëz¥n­öG­#áaÊïHnªçØ—ò¾-Þî«ly‚àR:žêg<Öâ1Í—!ß#\¬öÝÿáêù¹Î!ïz¿Ð¼Øþáé±×Öu‹âÏš§Ržm¼Üøšð«mqо»ñš/Ž~mÞµ®'? ß‹çð‹”ï×}÷Ö_,?R?Úg^‰~Ùq%ÝøTÿ¡ï[Ú|Òü§û )_J÷KRÞayÊÎÄ[ˆ/Û¼.q°gv&>I㸯ßõ¦yüÝêÍÔºÜçzØc¸CöYþÜêãè×j¯ÍåoÀ’¯ùÓüŒü*äûŠ{–÷ ߤ®«ñ~‘ß“é>’áýþ·û5ɇ¸¨ç§¿áóWÇ8®ßåmëÑ>Ïôýª_ '­ÿÈ?Ùx^–þ·Sž¹Ä“~ÐþƸßÖµúߟ÷•¯§ëÜÇaxbx)úÑ~‹«Î'(Olñˆö%^J®ù?=§ÿEþ¯ùAxÚqUí=ÆçS^IõNŠóö½è-¿ óâÏÖ_Âz¤pð¾~·Çì%ü¡ùý6Èßú{ò,§|2åW°îC¯ù‡Õ™).ÃøËž-ny´ïfùßâ`ËÓ„W–}i½pÆaïç6~a|~»þäG½4Î~P¿ñÜìêÏÏÿ ™?mycÈoé@ÿ¸¯ßí3Þfyà‘¿+"Þ`õÄq—3ä½öÞ Ë§Ôgßo¦)¯0üyBµÞ¥|ŠÖ‘òÀ¿S^i|Òø½§Uxþ_ši=žk[¡×ò ñzòÇêÿó®g›ϸd_cð°Žë‡®C—OüeËëŒG‹ß ½ÛºãœÓÿɵçÛ¸µ}ƒ'ú5É퀌va^­~–G–y+®›Å?†}½³³£ùåkã;´´žVß,ùÞ–Ï!Ž…u|ªÈ·}$›W‹ÏžïŽÞ4ž[û®·®Ãõv®÷C×ý‘W÷á=ÈCžåXO•còúº>öÇø´ôÃXžáÄ?ûv}R/–œ ½¶¿b¼%ä)ˆ+íó´/¬«¿­‹ñuÛ_¸¯WyCù7ÕP7¡\’“ž-¯,óü_o¿/þœ6Å“0~íˆëº-¯¡x%¦8õ¬ç²Õî¹6>£ŸÇ}‹g)ï§}~ãiÆ#¿ü^ÃÐwÆIqIù?åù4¯â¨'ü] â˜ñú¯‰~Z^•üi<1Æoùܹî§užé³ù†|Øåáõ}}ʵ÷ÖPJ¼ÛÖ‡ž§ñ~ô÷~éÿ»¾mÛÑ}²ÓúÛs›Ÿs>y…¾Ûí³ü²ÅOã!)žH¾){?_¶ük¼Øü!ÄÝÒ_¿ö«v´n!¿ýR\„kÒƒÿo-Šë*ã·ôü9ñ¤¸þ-ϵ¼f~擘gBÜù†S’Ÿt>hŸ‚ÆcëBqL¼:äw¥ßðÑæ;éßÇ}½?—8÷û÷–7¿?zO¿Ö´ƒu­véû4hRÜ’úmØm<Èâó¾^õÑóMþkûf%w[—m÷–uiéIë%Îñ¥þÒÖ³?Çö©¿Ê|”üÆñ÷ ¦×xå‘×ùîs¿ìIùiïGÿ›#y®ß¯kÛg Ü=gŠo‹§ÓßòUÓCë^z»\Ë_2îº&*ù’úûƃ¤¬~´_!ù•å#4ÏVnãìnòR<\î›×}©»ª]š_…ŸÆ<}«Öï¾>ϲ®5ÞíúuÜM囯%¯ýÙþo¡ãÔ9:>âË„_Ôþ¾~µKý¸õ×zEøžúKø~Ða'}¯2¯ûz¿Oujš¯Sÿ$?ëvI‚<-åë2ï˜wh>LÞ}ýëíˆÇkóJëKvYü9iý<ôZ¼Xý·ÜÇÐßÓ¤ó¿­7ÃKLù?ïýüZã¾ï#‘þ>žO·û Ò®ôà:_¿ë7=÷õÞÏð=õ‹ûõÙwì’¼Xò ÷zÓãð¹ßåþa~v¯X~ÿ*®Sz=%<°ôÜÍžåzõ~t(Ï“ºn´OóGxÊÿ¿ÿØŽì’}ê_¿Ë{žãµáVøÜÚþÑañŸ¶Ãÿ½·ü.øXíÎ÷Ñîëµ]ìwÂç•ß’û~R_q^^ú3é«ë0/cÿ4¿Q»ûzooõ½}o ç§oy“ñ—m=zìÙ·­«ñ'Ú7 ÷¿êÚòõ±Ÿü2µ#ä‰e—ðÓjï_ã;ý)/кÙþT¿ßí!ü©öÝîf×°?Ü·ýh<–§í@Ž½†Ó§ùù“á­á‚áÝ—uÐÐC~—æªÓÒ8·ú$´[ã•òhšÏ ïSÿ5»††ki;©‡b^óSýžkôÏ°¾ïGÇŸºßÇÓß;FzdÿJóFؾô¥ùÉðâ˜äƒž~èþUŠ/0?ÕÞðœöÝBü@¾r_Ÿ÷í{Õdבcñb—»ÃþGo¯S-‡|«;$Ÿ”Ø_êÏëÚüÞêÑoëš/Z'ãI‚{1NwùÇð¦’+û¶Ÿªü£Ïÿÿiv¦u#Åã–‡õïYØ÷vîÖÞx·ñŠOãz ÿÓº‚üúéwŽ˜Oš¶Ï³Í—©?S½`ñòR©ûu|ædžߡ¿vùh—åã?R/è5Åé±;oVW´|£ûÝÔßâú§~~ä ¯J÷m°¿Õ‡¤Ïp0mg8šò4g]÷ñô÷A¥~•ò{â;ilx$úP/Ìo_×Æ{C<®þ6Ÿ÷õùÜðÏê5ËwÒnÈ¥y£ú”ê©”~Pûûz×gã ùHµ7»;”OÚûÀÿ‡ÝÆŸº<Ãa©Ó‡~Ëßi}`øò¹j¿ÌÏt ýߣé«=ˆË!ß©~6ãký)þõï)‘ýuà羞‡Ìî~(/Hytº/ú†~›wÃmëgx•ògí—˜ýã9áÉ9Ó¸Ïnù Å]·£É¯ñtÜ6»·8fßÓOë;®£áh?Ãó/ˇi·üD¼‹ü–âÆâ®Û}ôØ{9R¿éß—1»Â8,=!îŒû¶ÞWTYœû)_t=§=­§Õ!’OINé7ÜîòÏQžÕq]¾å#óÓ#öèùv~d|ÃþÚïøù¼6>Mû[þºÍO¶Fù7å;´Þ÷õÞÏüÛô@ýGv×ýmþßæGÃqʤÿ¾Þåmí]ú‰æXç1®”¿Zþ¿©þ“®ŸùÇ_ó¶õ'œ#=ç9ä©ŸñâeýÿCÍnÚ§hq?ì3\ ú"ıº¦u¤º„òáåòccžGvÚÿ‹YÞÿ¤CyÚ}½ê×|,óÇyÚ/åSäç}þm¼RgŽvG^ÿþ&é5¹¶®²O¢ñâ­òÀÁ²ã¹íi?ÈøSúÿæ0uM~d8iø”â—áä ”û<Ç|Öaú¹[³£ægÕN¾„~BþKù%åuæ—ïJNʳi~R~#|pŒ«ÅM<‚ó¥GðÇóƒíûüKýCòè0þ7ôH¼V{‹Ã-nõ~ïY óqõ'žòã¿ÛõÒù<òÏÙöz¾6¼7¼¦ý•´^é÷9¥_𤷳ÿUíÒ¡¼Âêõûú8—\ácÃÞpŸªÛ=Æ‘òÛ>¯–‡S~õÙ=Æ‘ò:òÃcªc$Ž5¯XX}{_Ÿ÷ ϤŽ¬ö„GŸñØ”?µº5­¨>¹¯w¹¶D<+Ý°}(Z0ÏÐ>‡Öƒâúþ¢mý%ü¢‡´¾ÄC¤þúöó+ÃMῺ>ÔÖ—æÓâz‰·Z¿˜[Çûú<Ó¼¶ç¥OÖcŒKÖcŒCâ~´·¼šò6³×ü%Ìój‡ù±ÔkÃÞ°þO\ÿüþ\ð¾ôÓ{ºdûAñП×uš— Ÿ–þǧåÏmÞ´¸HyLú ·ØÏìJãÂø½É¡öv¶ºÍê€s½§Õï!þCñ»ÛM¼ä´Kÿ?0݇ }Æ£,>-îÌïÍϨ¾më_ý_÷ãk<³õ שì°õ=ç§>«~Æ)ï¤|Ãò‚ý®MüÅó«ÑÎö¯¶¼'Å­­_[~ìþ_ïúZÝPz¶y·Ûƒ¼p|ýzëêOÛºÞ׽ůÔïëÕ.Ôoy·ÅYÝ·}Ò-^Ù|ƒýÕ^ÖƒöÓc¿}umùJÆÿÞ.Ä¡ÑÿÈÎÕ¯ëµx±|–ÖÍp6½ëúz祟â“ø ­‡­¿ä…aÝ빎³燼~ÿâh¿ù‰á‰µ§ù¾¯÷þâ_Õ?¬O”w[;ó3ª» ïýtØïq«]êà—ÃÞŽ_´>Ý>ò3ã©ç%‡øʱ£Û“ÖÃTWŸKžöš~ðÇaÝïýSžgñÒìÙî#Ä|CxN¿_×æÏäßÆËŒ÷¥yòËúbØkñ`ùç¾Þí±ß[~6ïÆi¾©îÙÖÍG®á:àÅxNò ÿHùYoÿèrï‘_˜]”hýÈ„×ñœ~Ý®ôóaàßq<¥õ7Mñ’ü¾ûçyžæyùŸ£²‹âÃðŽì%9ÆCûø̯Óx uƒ8ýÈîn/õ?íÒÿ?’ç±}´Îç}<çÚòBZ†ù×™ø«ðs´ê•~Ž |àWZ¯™ß9§¶^½¿åw««?U{‰¯~èz/ëƒÑÏÖ‰êXòãn´ò9–»¾s¶ÿ©"\Þòƒ£Ÿþ(ãÔÿÅG¿-ÿ¦y‚ùLëÃxž·ø)ãö¤¼$åÆÓ¨?å}Ûoiü†ŽxÞÍ/§w‡¼ÞNx㚯Ð|Y¿ûúlׯÃý¯ýÆös ï  ÿ(oó*Å[ÈWÿ??Ïùú¼oq”¾%å»ßî/X]HñHë°‰[•c~lóhü.«¿Ú|qYýMzïëÝ^ÙWéúëÚÞÇbû i?ËKô|Ƀ±^ùv½·úSÿ¼¯×þý |;žoqä ¹¢¿Ú“^zÿÌËÐ_¯í×m] /u9ý0|±öu¿çÁÊ?ïzÒ¼Üä•>š÷Ó^ê¿Ô¯FûÎÏ-ÿ5û WÉê¹ø-Ú+8…ýïë³ÿ¹–|Zr ÿºüv¿ä@^©ç½½øÆOŠ«ð¾‹K:ÔÌž4ÏØü?×e×ynüa›wÈÛïËŽîÇ}?ÂxòŽ©çÂïph>hŸ\ê‚ôP?0¾'x1ô‰ß»à÷þC®ð¡?ûÅàñ·õŽ/Ï}ýn¿ÕæàÇ%/å»ÝÞsNùGÊ÷¨=ݧý«SŒ×Ù¾£ÙâÕÀ=ãOæ÷Ù_ýBÞòå’Kõ"½ˆæñŒÇÖ1ü\ í³y þ†‹×ϸ̞zNþE~Ôâ£Æ3Æ8{ÿ±Ïó–|­úÙ:‘}æ×ô¾=Û÷¼Qr¨ß6©½½WÚææÃþ'ýÿÐ&gØOó!ï+#9vèz¥þÝóâ·<åô7 ýŽü¨Æ×õmó27ÅÝЫŸÍ‡Œcè§y6¾,ñ=ì¥ùÛò Øϸw΄ç¶ßgvÎß—}¥º/ó0úÃ:vw)¯Ny•Ø_íR¿Hy¬ðöÒâÃÅ—àÆhGó&ñßïv}>þç¿^å?íî‡ÀºŒþ´^÷õ)‡¾pÚ¥¼ÈøÕ¶®H×o›OìÀçW¿ûzÕƒü‡ü¾·3¼°uíóyäÏ |g|ÃðÛâ8­CÒ}Ëoåg?Ÿã’ñ“\mOö†¼×W®‡¼´•ü^íSÛò?Z¿—})ÿ3œµº&ä ãyÈÆxèyÏ;6¾>?­_É¥÷·u=g„RŸV;áãvÄë™âÅ¥ø3éÓxyìv…øÜõÖ5åIÛŸ¶ý<Ûw0ÿ6¼¿¯Ï3Ü/¹iüÓüwžküÐü¹ÛæÃŽOçLódã¤ÿó3\ó É©~2ïØÎòDêoƧ ×$OÙïát~RÜXæ­kR~gü€ÚYž°t:Û›òîo÷sHñÉ7Ëžûz·ßü‰ð üwÈíí¿ÅÓ×Á߇]?ÔÎÞ“ayÃâ-­Í?R¾Jþß×/Ÿ>O”ú~D÷'óƒm½D÷¿Ü‡v[ž¦y»¯w¹V/ž~ËyIó^:ŸƒGIã%­úsûÿµ>nª÷?êú¾^ŸÇüž½´^}¼iž¡¸„ñÅö¥øœÆŸÕ;ÆŒoóQý(ÎaÖßøàèg|„âv›Wš=h¿Ùx¯òˆÿ¥8C¸JëBþv_ïzÉïžö%·_ùü·|ªú9¾áV?þYÉ—ýåKÆ—I.øðòZ=—y¯vßÖoy¡ÿ‘=}u¾nw”¯ÌÞ”×P}Bócþ ýÊ.‹CÉïÔ®ä‹>³£Ë‰ùÕmÆ÷C¾§÷ _ÈŽ½4Ïá{ëúÈKùjˆ·1.Ùÿ/Â÷;ûxðóIZ¯4ÿÁ÷m‡~ÛW¤õ0¾òÄt>ÿú󺾯w}Vß‘ßy'Â71žÓ}†§_Éër¤B;d}{¿º6þŸú ÕMð¹ÖêÅŸ÷ç)/ûkœV'ÑÿóQ½’îÛ¤8mùÈêÞ”ßY¼Ižèíú1âÌòÎöœÎCš?lÞÒõ\Ö»½]ß×»¼sßpìzÁ^l8oíê9Íç}}ö{®«_ºŸaü‡òƒÅ×±/å‹Ýþ-¿±óŸÉ^Ó/¼JדüŽðüô³<*umé±úCüwܧ|óÕíèGüÿÒ†_a¬ûâÝîö? Ôý„>—÷ë•Ã úÞ‰ðѺ¶:Ý~WþÙô릇ôûûz}n~Üå’¾ê¾áñè'yÔµç¾>¯©ýÓÎäÒsôÃ7é>Šå1áix ¸>äØ|¥z‡RöØgù›ôÖ}Ë»PŸi^lï›víö {_|+wËCR>.<¦ìœÏ)ß…ùt]G<ò»ý0þ9Ú?2@ü긡×øŒñ¡æåK˜ßa§Ô£ßÿï»ýæi=¬|îÈ#ÿ‚y/=´dWXÏjÜßÅu¡¼%ü©ì·ú ðg<'k8fëdx²Õ“Ê·}©“ôû}W)õcÖ ×çµÕ;!ím|÷õkû’×ק÷ëó+ù‘Í×vßêw‹kÃ1Á;´ÇÖÓøï+²èíëOó²Í§6OÝÿ·óœòÊ¿1¿z¹úƒÊ+ÍÜpÿ÷™Rþ;xÎõ>žßÛïÛK¿ù{Z_^ÓÒv˾H_Çag_äW]ÏóÞƒa¯ñÞîo)Yž\ªk‰ :”&Þ$8˜â^·Syãvþ‰¥¼âxÈ#‡]!U~EöR¾é×w»6£üÙï÷3ý”p×ÞÃou]ŸñÏÓŽü½?§qRü“¾sÝ·có rαåo˜ÇŸ†>ûÝ­wGê‡%×ðÄêM°«q¼ _êòtße{MxvöEl>‰ÑÿÞí¾ñ(«WlýCÞR×ižòŠ-^ vžç¦'ý|ŠxUŠÇ)ï#y}<á>âø–¿¦üDðp´KëjŠ›Þ®Ç§á¬C\_ß×»i<ƒ½e·Í÷ÑoyÚ }§Ýv¿’ò7ñÅe^Õ}º´Î¢2^hy™Ö×úÓú÷þV¿‡r«=åÉËÚßÖŸp†üOâ`Ø83ôË-oÚ|žPÞ'½–!ÿû´‘Úc|¹ûsÈû˾¿Æ±è/=ýùírC?ì®cX_ }VGϹC^X·X».oØkxluh˜J/½Ÿ/•ò+õ÷p`ô¿¯_Û¡¼®ï‘ƒvo¯é¾Õù)·uHq÷¾>¯Û¼žÃü±Ú ÏŒqÖì…u,½Ûýá¹c<0Ͻÿâ’ÖÅŒÏ-Ž ½)ÏHy(áÛ}}ž%o—GNÛ/êÏǸ¶þgã°ú‰>Oñ«®Ûçíý ï££üo×¹Ûò8åýàGÃþûÊÆõ´yäœÛï]âý#‰7´«_"ô«u\‡| yoš— ·u«ÔšGûQ—Ÿ¾·æ“åä߀oýZ×Ùüöël~—cÿ½¯ßí3½ýóL’güÛð.ÍC6oÆAoÉ7}¶ÏVyòz•S×áþ Úa8~_òlŸ€Ö“xE7òÂ3Ã>ïËøèGÇ«ÑßÞJuÀ¶~H×w›O¶ñ&õPµ¹ýùKòÍîë³Ý¹&¿#?ù–Ÿþ¾îYýâòÇö‡8õ¸ñuØï «v¶Þ·Ûün¼AüPÛ¾vû0¯¦¼@æÃü¾Úî6>a8[ýáÑh^†=ô^¹4Ÿ{ü¯| ø•æƒÔ¿úxI¾ŒKßaüÌöC(?Y9ß_$>Õ®Gÿþ¾˜/ùp<.ˆÃ²‹ô.ãùd_OÛgIy1øaÉ…výˆ÷yèc-. —BÀÿA y¸¯Ï³Ôwã¾íÿC|õþþuúm÷S,ž%°ö5^‹”W ß+yºÞaÇ6lŒßÝ×ïò·öÓüKžíÆAZßÃý¡‡Ö‘ò”ñ¿p¿b<—'öñÒ{ĉç}Ë#ºœûÊúË>Ì°ëËýŒ‡Goé¡~’Ï4ï?øù|ûs¯êô9ŠÄþî•öUB\(;îë÷~çù9£y8ýÍOº^Áã~ÀxNß)ù½ô¦ú 9a ¹4ä¯a\—©‡=ßÂÏÓ:õö¸ÜÖ=§Xg^ŸÏ…¯Ö5Ù—â“å¡þ98}úé‡vI=€v{B8ž÷ñX=bqDqâ%¬Oé§õHýæ©äÓz‘¾t§_æÇÆ/S¿Jq¡ÛŸòïe^4z¾Åâ1ÖßâŒæƒxgÊ'M®ùMš7 ïyP¯)žÚ>ƒáÅ—ûñ|‡ë@óVö?„ù™Æ…r¨_Š§!O ýd¯Öo)ŸµõKýÉxÅùÓß·þIzúÿäl×cëïß懔¿¥Síïë³½ñÜÓ^ü²äÓxSþ’Ö÷ÛyžRrºðkºß”òÅ>ÏÝ^«?¬žý5ÉcÕNä y4^ÂÛ?\ò ÝW!œXòº~ 9òŸÑo¹O¬yKð{ÈùN¿_×–÷ÓzOøZ?bœ¤×…Ö£ÙKñ]rúþúéÎßâ*¬wµƒuωߤû†k‚oCä‰m>×¼&uÝ·:q錃òÌ[·7¶c»¯•òJX—²“pü žw¹¶¯×í¡sïMë×õ÷CãÁòÔ—õu\Úz/ÿoJy¯ÙOŸ£X^OùWÚßðÊò á¶é yHï÷õ«ü’û-ß´ÿ/¢ï{ãù±ßø"ábºÞ”Ï)ßN™ŸCPrÈ–<}½_p®ûçÄsˆ—¤ûá~Q·³kü£x”÷u›Þ1°[ýÄòD:ˆkdã-8®çù¶þëò†|‹;ZÁÁj'q‡yë¾ÞÇqîw{žÿ°¸¨ö¶NÂÿןlóá…ñ«-/nùRȃK~ÿž]çíéþÿÈûvÞíwiG~·û¹>ÊOy£íûžÞ,ÿ‡¡ú§ùÁâá¾ÞÇÓåÑïU(.(¤ñi|…òå)Û¯2žL8Mõ’ðÍ.§ñ~á¢Õ¡”—û>Ž|dû»ùj·å9T?¤|"å·[œßæ-‡ñRZGjGózÚÓ¸E¯¾_×¾Çiø¶ÝG0^ÜÎý@ÿ½Û8ÎuoúÆx,Ÿ~ËÁþ¡¿ÖççÕ^ÂÙaŸýÿÅ;Ø×…)ß±õ úô±Ïü¥qý³åA–ÏÂýó§’gvN¤8 óNã©û"‡Úásã)¦Ÿ¾Ÿâé¡ùL繯›ü^™úu»Æ8ÒúNø˜Æ½ñ‰SíŸæu›'ã 6_”B^ºŽ‰7µKÖAý"Ͷ¿F¼NxÓhŸža]Q¿­á á´É¿îòú¼Àê³ïž ;R¿—¼öžkË»—Ô¾ë3{zýmü‡ð‹ô(OüÔK‡ÎS¯¤ž®ëf§æ…Ó>΋×ç5è¯k›÷-~¿/½´¯eóGüì¨~ÆC;ô¾Õ•á~Z|†÷ŒÔ¸ ‡€7©Ä‡CÜßòŽí§nZ»´ñaÙ>_ð»ï1®´Î$³õø¶n³xJëþÔORÞDþKÿç–îËßÊÿ¼—›O‹ó'ó×(ž¶ü<Ú‘|óG©›úûÕýn§]㸗=úèyé ÷ ”ßÙº¥ë¾Ý_"~l¼âÕì°ý‹s†÷W{âSV/X}ò×y¦õµºë¾^åþ·?;{·¼ä=vÒç#óÇ4O ~ »Ò¼gy´¿ÿÛÆæãnï°?õKª-.{ÝfõKXoŽ~½ÿ}ýëíÀø„ûIü•œÉþ£OòP×W×}þŽ<ã›}|O¿a7ØIq3äÏHÏmJÕÿçLïïJñðcØA¸)ûOîþ¹øvß(ÜW(ù$§¿¿Èø¼ákšÇ î‡\ãË„{Ûù ñ°ô>×ñøÓ} .×øÉéõ-åUáŸýÐù•õ¬ëðù:?„þÖË—£ý6¯¿7ÿIãÜücàæõÞÞü¤Ûy_ïv:ý–ë†ótäuýdŸÕ'Ý>ñÿ²Æßí°¼ ynè!9§ôû_©+b¿0úõhŸÖ‰÷õÙ?­SÓñ oö[#¸¯ï²º‚äw¹4¯½Ýv¥û¯ýÿ ñxáŠñ¨°žŽã*Ū‹'Èü÷#åÝ8¯æ—_òSœ·ûz—8ÛííG<ïW¶[ÿyié½c|–Œ¿ÑïóBÞ5ìIí•}‹4ÎОGZ~î‡Íkµƒÿ¿%?zо-Ž¿C¹†÷8þ%Ÿ_ס_¤ø;ôPœ‹ÿÖ}‹+šÏûÊÚI|ï¡zç÷œC|é×:^›ß/yžú©Ù{ì£|d¼Ñþ_êP”GvLyBÈ›q]-?_üy·ãØ+ü ñ¥÷_îÇ•ÂIãRß’üq_Ö³ÚÈ>Äç‡}ÆG­ÞxÆ¡u|o÷á_?/š£¿ðhÕwä o2ÆöR?÷q ;}´ŽæGÛ:‹Ö1¬¯OÆó/ëLÔc¼5Å%ãÅGî–OÃýêûNõÜò¿áåyÊ;Ëñ‘¼4¿¼ý-ïH×Õâƒ>? ëöjO¸%÷5ÿ¾˜=}|ýùùÿTÓm>ûïR|HóŒð ìgë±åG£]_ïûz¿ßí¥<}úSÜ,ýËÖsÜïíÁž~è:™ß‚Ų›xÃÑcy ÛÓõv¾žâœá§åÁnWÊ3Sœ?;GÊëuÿ(µ÷È ÷t ùÆ÷Óý®Ô,ïmÿÿ'ÍÓ’—ÑR¼ ø„yò,O’^{ÞÇcyÛpüõè¡ùjÏc»¿åÏ–×ÌÓzÖò%Ìwõ·ù¿¯ßÇc~!ù¦ìxôÔµñs¦}Tó/’w_ïíB~ó6Ãïþ~Ÿ§ëŸòNÂée<êýöÞì¯çÏê‹»/ÇÓõ ýϸÐ.Wõ#?H×™þÏ'õã=6?fošS\L×ÇöGRœ?Dûûü÷ Ӹɮûúµ]?/Ózáè;ç´^KׯêÉ+kGóbü&­CG~›ßMŽSÞõmüÁüÕõ¶þ&|¢z£ëëùð ¯éŽ]¶ºõãt}§ñó”-_îóÔ¾'T÷·u±í'Àó!—üÀâøÚè¿õKÑ7äÎ<ö^Ó1ýâçwûì÷3ijÍC¼(yV/ÀsìOxÚãÃâÓö§z¾‘_Êg)ŽR¼£øã®ä¥yÓö Œ·u{¶¼Òô~éOg–û:üSû´îGÅCšGäþÐkþez¬.3û(¯Ñº[|ßûF;Ó¸N—õèúS}½ŸùÙh¿Å«×)þLÿÖRPá“}oPòªÚi¼:åy„CÝ®4Þdëæ··¸wp…æWø6Ú“Æá±ÃðŸì žjö§ñ,úÆ5ü>»ì¢u;û m¿Aû-qÉx Ê ócɃvã¹á›ÕGVÿõùý÷%õqÕõ’Çt9ÊïÒ}Û‡±ñîZÿûúlÿ-o’x.9’_{»~¤¸€v^ôßÓ¤õ—åõûú}ý¹ñQûþrŠ‹Ä;hüô9˜ñKóG['â™7GÊ!nÓv*ßžÛzœñ¤zNûÞâ2åÁiÜmõ¿+9òy7âñ}ýnWkWÏiœ}¾é=0ćB?Ñuèóaqn¼/¬ŸÈnl—îK¥y,åÇoäÇ!ïþŸ¿>ûŽ†x\ú„Ÿ »úù±³Ú»e¾‡~[OZÿpßcè q‡ú™þ.·Ë¡Ãø¶7þb¿×ù‡óé°3¬gHÚu_¿ÊS>#ùdØï¯vR¿Œví½Th_èÏ[ÿìöØ}ôÃ4ß[ Ž’u{ÕH.훤õuÈkÒz­Ê{,nÈ¿)Ãü¨¿ÓJó²å¯­ÿ¼>ûÓx¾ÄCõ·pßeëê7Æ;¶óHû´>„/¶î÷õy-|8æe¶~ï½ÿcg?R;PåMZÔÏ—|HýüÊúoóp×—þn·Û¥ÿ?B|ÜâÂâ%3áKÇu_xÄh—â_šgÏù¾~o¿äkÃî°NèýPŽáFß÷Kqf¹îh¯­÷}ý>Ëït}ä¦ë.û3[|¬kãÙvoíÒ:줼Õçäc?Ñgy±ú¥üÚÖ7\§/ÅÏJÅó}ezá=!1¾Ñ9Å;ÛçØâ3ÙŸòñ¨ý9hýêù–ßn[=/q¯y²¯Ï}½·³ÏãSü<ú§«ñÊÓOøñ·¼¢î=ÄW! ùÿTo~wì¸ÁÞ´^&Þúí¾‡ÔËë:î±+]gå3iþ1|êë@õfº_Cyôš½!àµí#‘¾þ}Bâi†»ÿ_âþæV‚^g³D=h ÊòAòࢀB¡¼ûmÈv¦ýèÁIé ÉX{=Œý®&‰ˆHJâÏCIiófúe~Âè¾'9„~£3Ì«[{[ïHã5ék×BTébl\aÇÛò驾‰?¹|‰½_å!;{éç®\ÔÿšO’¿3?fúnqãŸÂw…O•§Égý¢ñßëùºÒ3|ü›üD¿Ž38íS<úÉ—.=˜—Z¦vUé›ÿD~ô›þOyˆO52û·zÀÇúÛžïõk}ìWxÎåŸÎcù͞휚á„p=¦µƒù½õli>RjõÓ8móGãor§zdtíK7i~§yñÆUõÏ0Ž®'ì[4ùÍïÕv»ÐÆeóï$gùžNkg¸Êôtú?Ï÷Ó|ÃìQæýÒ?|m=3µwÂ+¤×ä_-nÚ8LíLì—ê¡>’€x„õ WH>€ý|ï^9‡ø!Æ9ö›ú«a|kílÒ¼’ü­kÖïÕõÀú}/óËÃxÐä¤~~äký!ÆÅQÇOžú‘çÇÖ1l\Íÿþf·ÌžÓù¶yâAÓ{[¼{ïW¾§=½ŸLýLã"ù°ßÆGpŒÚ£ÙÔûKš÷ÔO[÷ú]îÏóÛ¿Ÿá¯ø3ö|ú›®'…¸½Ñú‡JÏp*®÷ÁybÄçD÷üÚ|…öˆüR”ŽÉ}î§øÒâ…ø÷+ŸÅoøßê÷\>Ó8Æ*ß½¿×s¿ ×™ÿ¢ù¥ñ…ïBU¾µÄñ§ÚE½Nãù©?§ª'UÂù&Ÿá3‘×Uˆ®åm’ÿPü¸í¼†KÍÿ…øªµ·ÿå´û–·§ùR˜O¢ßKq¥ý_A¥»×W»ZbÜãvéX\¡çE¾_¦xì¶ûðiò¦~·Ö«ý€xbí›BüPëÓõ½q²>W9 =åW¯÷úþµxnþü‚õóaüOãXã_ý§}§‡ð‚¬Zܾ÷Óï¤Nó’¿ÚéÇ!ž³xNïMV¿}~í{“ð[ëÝkó—Ö>õ¿4‚ÿk½&·{êG ìõ}mvHôÀ.ˆ/ÑÕ~Ò<î,v‰í(_5{=¸×‡žá/òKçÚü|èWªœˆËêºSý¿ YÿÐ~†q ûSéÚw×Äm\Çþ€ô‘ä0{ óÞV~o=['Iý¤Ù»éAzßð@m·×³©~Þí+Ö«t‚æ7Ä3WNÀkèWêüÖ}É·n»çLíÙâ3áüpþµ¾àê4þ5ùÒù ýHíG½V¹×7?óW4ŽS»IqQhG—¯Œ_õ'­ùó4ß„×R?âÿÆÏôÚð†Ä“³õogÜöõºÎË<ç´,^ný­…ô±>o¿ð²Û.õ?&¿à•*·ÊŸæi©|"O-˜'5{6û?Vë#_Ê,~Öúç·þŸ+ùòo´þþ¢¼¤§_ŸýŽÅm‹Oo?%þ[¼D?ò·ö$÷^Ï| W‘¾Þ¶q²q?ò¹Uì<…­ ¤~|è_5Ž‚=NñŒ[ȤqÐò€êÇÄ_×k'ê·Ýñ“ÚÛ?ìé¾æiC\BútŸïõ]ø‘_Ó燎jý±ù3=OíËä#ý2\aùÅ”ÿÔ~DþZ¯àsŠµ]:ŸvæÇÛúá©÷ÖöS\-zý°v)~šþ¦öI¸Ÿüðéçç÷”ø¼Ï©—ú Àå?õIŸ†ãyûõÒZœ«%îgê÷§þ&êÿ^ô›œ§^ý5{¯ô ·ÓxÂ8h»úû‘§µ«rÿÒîÒƒqoüÌŸÑ{aUN‰+•þ½?vŸ> 7M.²ò—²~Fí©Ôÿÿkí o‰KŠ×C©ñ1½/øEçè×k‰§ ?#ùÍMq3ýþ)þ qB-º®`xÆòUñƒc\Ç™âÈù ×Ùp<Ë9OìŸéA•«Ò3½1Lyrh¼é¹êèw«·×÷5}‡ìõÒ“<&õç4~•â-Ë;S?hù¶ø¥Ë?£é:Û[½!ý³`údù!øAloù ¬'P}³­o~Ùâ7á(™«¯þ‘ì¥^§qÃü5Å%ÃMiþBüO,ïNûcù„áfÃéw A¯k½Ön8oµ^ø4¹hÿx˜'‘üí>èQ“ËâµÙwWûŸ…*/í›Ý„ëPézF“w¯_ëc\ÿW§ñ3Ió=¤WÛÅxx¯ïkÊ{‡x«Þ¿×å»[(×p½¡ÑæÓõ ô+2U¿Ú}Á#­ÇÎÒÿ¥¨ùå¿Ðþ>'üDüÂu‚Æÿe|Sœú¡V¿ö+Ì›››7¼?Í_Sú¤?¡ÝÝúöÝó'€kIý½þ_1ÍãáOú`q#\W ¢ë ‚wc:¯ _Rþnv2Í#l~_ûÒÏ×)¾¾c»Më[ÜNíÑpKj{ý.?ÙùùSïƒSîýê/è»^ô½t§·ã*ù#Ò3{6;Ù+êÏ8ÎØwY ßK÷âôŸßé§ñ³<Öü´áUÃ{}ÓKñBú? ’wÝvæwLŸe\Ðß½ôÁΛܩ?½lý¡ù(r`dÜ_Š%.]úÓõ¢còìõ+½VïüZ>&ã·Oõ!ÍÂøÛè˜ßHבR?A~VÖÁbvè‘_°¸"ëVMñ/­þ˸Œýã,ÊaújúWÆóÖû\Çzoø=Åæ7Òöé|¤ë?iJýÙù)û©~ž€q£¢~c¯¬?4OöVŠgi\äNm}¨Õ«ó¹×s?lÝËÎMÒû©þ¤q‰ì€Æoª§?R¿Ñ·u‰C—Æ—ÚÙ¸¤qRä¿×dÿuêÍ^ß×b±}žq¨ïË>’þT¹¨èùD‹Cà'š¼S¿•â©Ð›ü¢­¾ñOíÑüý^ß÷ÏõÔo§ôm],ý¿&[7œŽCšçY¿ÉŽ 'MçóÐ%=2¹hü-_-ýiü(ŽNódºoù€áqÑÚŸ{½WÆ'µ‹¡?íxq}ËõR¿k‰ù[³þ[þâ¹T-¾…¸¸¶k|_ÆJç^[¾L¸™ì†øîõ]Ïò0a»Ô.>r]:†ÃÎo]g9ý³ñ´~P<¨vIøÆìÏúSÇíô+µ?š¿CGâ©ÊYÇçм§ë﫦ŸoÒük¯ßåÿa÷qüMRýõƒøÞûiüüvéYüÞ+ãw~Ëùåñ÷‹ wÒx˜¿ u€*øãÊÿ?ý]¿ò½í ß{ßðÑ_ñ Ù{J·øZ/ž(ãwï§~uúþ@¨gi<'}¾ýü{ŸW:ô½€©ÝšMñLŠëL­½ùyO'^/=¼rØúWêoÉŽÒüÌòÏT¿ w€}«_%½ªq‚ä³ï×T9­ŸCý´xsëKžÔêIžuëW<•®S¥ö,þ å=mü%/4ù´?ïM®ØßÑ~lŠ«h¾ g„xFýYgè~ì?¬~é_ãWïÛ8…¸Eq@³·"‡é‘ìÓ·ú¤'§]}ÞôÆò ÐNšœa^BíŒþ½®çµÄq„ÖÓSmxÃüDåKy:ùåó<Ì“7Tz†ëLÝþž¯Ï?ôkIqÒ­®+!ýÚ.ÅE–WYœ•qÕ|˜Ö‡ Óø¹S?ââÆŸä;ü ç§ú+ù¹âPñ{j—§?çWüžÅ&¿ÙYHñFêw gи‰CyÌÚøÚx¾hý©í>üšÜ†?à¼D£CqbjoýùSÀqõù½q_š†ödöoò*^±q\¡y'Èßä>r‰^ÿÖߺÞú½&Å—š÷Ižs¯I.ÓË'¦~'µãÚϽ~•óÞ'&özë“ž“|…ùÓF¯åÏë×öú9éÄåÖ¯!Þ'ún]÷së‰~ÚuÇözny⢪5Ï7|’ÆÀi>~ùY^!ü«Ü­)®©ôS\Bçw GÎI¯m}Cò]í7á'ÃͲÞwéiœHù€|÷¹ÙgêgR? óƒíÃñQ\œú[·8÷kþQ¿#CñÅô;]_ qÁmGô,?1œNö ë)®nõE”¯îíõÈé¤8 ú[åÁkÁñwü$´ö)¾Kó 7²×ûüÈ ôk1=o|§ùQŵ]‘WãI½¶ïŽ[œ$¿®7 Z>“æ)G%.¥~õ)§Ÿd¼žÑ7k?öú¦WéÒsŠ‡ G—_šÇ¤ñÞä¥q´xKq–ÖSLߌnš¯[û©¦y²ù}‹·MS\ŸÎgŠ[¬0žõ:öŸ{ý^_òþÆ×ä1ûIóÕ#÷ùµ8-þ‚úvMxôÞòòC×üšä鵨þÓïÛý0Ž¡| Ÿ·þçzü}/ë¢çjS<ö?®nü,oºíy•ëÃéyÈnÓïÿ¤øÈò°OâïK¼híÏóÃWâAkòÞz)ÿ'ßö„‹BÿØä$fxìS¿Ñ¡y%þ!>U|Æáô;x•Î•w˜/´v&?ù=ÃÅä¿Ã¼å¬úþù­…è59Ãï½ÙºLŒ—lÜ gÐ^šÜ†Ÿ_Æ5¢£÷APîפø£òýù ²C¯VæÛôØÆ…üÆ.t-Ÿ¬ãQÎÝV~÷úð!8@q¥Éæ]U›ÿÈùóýœê¥úˆã¼ï×búÙøPÞ$øNñŒ­#T>ò½4ÅWo½4ÿÿTï7>GÞ4Ÿ¢q¿Ç%ZOHó ËÏÃüAýu˜Çª4=²¸jø‚ÆãÐOñ™Ù©Íé}=O0űižþÔ}núJò‘80öËWÍìõ{?ìÜäÈçÎÃÏs?ì÷Ð ód÷)_ÃㆻÌ‘>¤¸‹ôÒð˜ágÂe{}ÿ¦yVˆ‡4~¾"·åKêgÒïƒI\V}¼xëî6ý½¹|h¾R<`~¸ÎÛ^¿ËiëÖ³;k7Ä+*·ù'ñSM>ñà§Ó~4~ÖŸä½÷£>œóA§?2©㥔žŒÛ):îiž‘Ú-Ä¡ZÒü4ŽS†¯-> ó Å –Š½´~œï“=|Å6úoñAêW¦q%Õã½¾ë‹ßjòK×+HLÀŸÞë#ùýPŸPNÁ5ÿ9—ýóÌÇòI³Gó;Cû«åu¾æ#š7Òü˜:ƽ‚.]šÇ‚k[ìmšgW¿:Å…¦—Ó<[ô¨Éó‘å4\ óvéÑÿ'¤þˆÆSÖ#tï¯8xŠ¯R;3¿’êŸÍWÊ?Í'Ìψ¾(þ!¹—TþMg:oãLþƒÆ'ħq¾® „ñ¢ñIÿçŠè†ó©yÎþ–CÛ‰´q¬Eçñ¯þÇÖ'R»Nq¾Ù­È] Í{£ÿÖÿíõ-ŸøÛ8®™=™ýY\ ú§?dO”OöðÕ7²O²ó¸ þ¢Õ‡ñÅ~…z@ò7ºÖ~ŠL¿ O~.tR‡ãzèQ~FýKãŒÄ*q|•øã:£K8‡ô–pÉ“®Mã±áŠ×!¸õëóÏ:R-1.Iq⽟gº{=ßOã·Í_©éÑ<…¸"çíyýn_êÇÌÏ=Ë3HÏŠ?jÏw´zG®t~ Çšÿ³ùƒþ¢–?…ô«¯EõËìü­Ù«Å…ª¯Ö®Î{x^‚úS‹ö?õ)¿ÖÚOñoh÷åù/+Þ¨xÔòPò;©Ÿ%?Æ—©=yñ9ùÕó+ù+æÙÓøTæä­|Û¯}ÇúKò Þ©ôïõ‡n-8¿uÓìGú[åÂqÿȉþà<ÿ¥~Úâ¢áháiaó,õÑn‰_½_Û×|{ïB|mþñ”vý‘¿>׸dq-Åo†ûÈN¦ë-oõšÖSHÞs¿ÖÇQ×)H¯íÜ(Èsé¼µkÒ?:/ö6ï2ÿœâ\»¦ûŸ~Ô‚úFöJñöC_ó{nr„~¨ÑOç¨ÏŽ­?L「ËåOúk~'õë6/µé|Y?ÝÔ.(_ÿ¥ããÞøX¾Ný¶sÔiÞúi£köÒ­Åæ§ÖS?÷6Øz“é•å麌ùGò¿i6õ?4o$G—R\ó6Ÿ™ú-óódG©½ÉóÆgç§8 æç—ô&ä§MïëøÐwHÄï]º¤÷G.¡Ûä;íRzê×v„c©_Æ×òÂ7á<Þvð=ßcþéûµ->®gùi|ϯÄ!ÕGÓ{û=rÈ8Õûª—5oºãûó,/é«Ù+áuÓ+Á­^•SüžÊ™®7›_Üpë‰ÿjôÌN«¾Oû1ÍoÈ/íõ|ßâ*ä©qœ´ø›ê™‡å½—mÁþ÷cŠ(¾M×C¼Bãv/ îõ¯§ã¾:î©”q¹í$n4y§ñ„â™éÅs[ uj¯çý˜G“þ¾Úº¢­s?ËK¬ßÐß{®…ë/•ÚgºN&똷Þ^Ïò˜Ý—v:µ¾á0òò?†¦—·¤—u_Œüåaðÿ(8.µ}áÓä qJkôqœ'6ùºþ_ÿú×ÿûÿ ?úÈCí5Ÿ0@ý¢þîKýOšM×!B|“ú¥SÏ›…óuéîõÈç^›þÓ<¥8KÆ+­§ùÁp^šÜ4ü§=7ûñ´öô³Ö£ûŠûR; åkÿc”âªÔY}ðKµ¨DòOq—С¢ù Œ'á‚×ã$ëöMnûn§è}£wúñÍÊÔÎê}¢×觿fÏC?œ¶«õšüt¯_å¼×€W‰^ø5ºa\DÜœŽÛ‘¼Zç;Ÿi<ÞE^òÏ‚÷k‰q¡ø»J¯Éc~Ìò­2_U>¼½C?ëzM.Ù¿&þõ¾Õ'?ˆþöì[ÿï®é¡àI”Ÿä&üÚS¥s¯Ï½qS“ÓâV¸_Ÿò±xÝæÅøÁwÒ‰?ʵ×óóÏý±MñUª¿Ó|$ÌtœDŸkAüòkí o 骼©ÿ2;9ïýé>ôPÿ—Ô~Q™â/œ‡!®2yÒyj|Òøžâ³÷áó©ß û”ïÞ´}A‰¯õ~-ßLNøŸÉF/Äéø=ÓãŸúaÞVåÇqýE9-¿½Dy*½½~•£Ò19Sûn÷§y¬CP1ýMïý8ÏOñJË;~~m‡r‰>Y}õÏøJeœï¦x2ôs*‡ñ#=Oû“Æ™÷ÖŸ·ç®hý„üží+È>T¥Oþ ëŸ[¯ô«Þoõ>ü§yK“¯Ò©ôÎsó„CBh8®ÕÿëúWº.›Æï¤þqh÷þÔŸˆ¾¼õ{Uò{êŸC|¿âÔËÏüõ^ÏõEÏÿƒ/~29Äîn=À§THßZ=Ë{ÂxlÏÓvvû¹4®Ë¹§{?Ý ½¡<ÊÖ'§ñ\æó^¿Ä1=ñ{µ]}žÚ¹kzî¶õ#ÅiæçÓx6Ä¡—~êljoˆ÷Ò¼°ò«íµÞÔÿ¦qÈìÖø†ý5½HŸÝ{ÿy€Ê?¬GöDííyÅéi¹tÂ8sï§çƒ‡òßû{ýJï­?o|ä{Ô^×sÌOñ¤­+Nýc8N©ÝãøLý°Ùõ7]NãñÙëQÞ4´û/Ïÿi{O¤ß°ub²_ó‚7‡úÛžÓ}Êç;*~2ÿ`8ŠÆòÖ“Ïì1´ãÛž÷mð¼ÌËøKEýoˆ+è~Š5>§yqõ‹áþŒÊŸÆ™!NÓx#ë„î^ßtÂö÷¹ìÛø Ý0c½) =¨ñÌæw¸ý ï9¿Ô£Ë×ð‡Œs¥ÓèNãJg¯ßé„ë-Êge¿Tõ¸¼WRé¶~ÓxÎ$þÄ'ÅU’/Þû…~m¯£€þZ‰ã‘õŠ7ÁÝzå»'U¾X[×0‘ú±ô¼Ñý^ÿZÿ-N3ÿòv>4/ü«¾I<ªEý=áÉ!Þˆû¹×ïÏ¥~£/|jA=~‹§Ä߶vSý õ ñy©—V”¯Émzç±R½lòš)®¯õà{Dó›·8ôÿÖ'<&ç&T?S|dû˜Süô–Î^¿Ò32¹…û=rOÏqH>•â%«g%¦oë¼i¿ä{.$—ù½&‡å_¤×âç*ŸÆ7µ›½¾è·çæ?C=Aº!ßû<ÏVßÎm~AùöÊäNç-ïTOCÿŒùZ¥cq?ßá<àøî çEõð{ÚAŒ#‡ãbãÑ脸«=7?5“¯Gþ­?¦áºìoP^fþOð<ÝC½LíúÞ× ›|!Îoí$Þ7¹¦ñc*Å÷½žë™ý¦zkã3œG¤î¨¿1;Kã Ùmè×c t®\ÓsC?1·Â}»øÿÃÜc\to}Ñ+¤»×÷oêïD¯n»4Ÿ§õ‹wÓsC{=Ó=÷ÍÏ€ž5y$N£Þ‹ÿ½õWá5|ŸÞÆÊ4ŽÝçå;ÞDÏø#?zÏÀüaŠó†þ¿=—¸€ò ÎÃv‡ÈÞßâÊÐŽõ<Š¯ùó2>¯ôäDz{=¶×ïH˜ßNý¦ÍK:y/ýg¾Åo†Sø{¯ÓõézzŠ'ůè|˜ÞV9÷z¤wë›íù?x猪ßœwøßBåŸâz¯ŠpåÛä÷àQ‰~ãWõr¯ïëÔ_Lã‰áž¢Oí¹ác±ã[Oò³Ê·µûÈ×çÿ'“‹üÃ?„ßS<ÑžOqùñÿé|79§ùpˆ7O_«Ü˜§šÇ åNçkØå·×¯íã¸(q¿ÖCùêûAa^‰ç9hþȦë°æ?e<[»)n¢üÖε.O×ÂuUÍ ¿¿õŸ*Oê‡hœˆß^¿Ê5öw!Îœúõ‡é¼Ø¸îóªÆ÷åú¸éö/]_ õí®Ê“ú]óS&OêÞâã¡À¼ œ/’Ký²áô·~Î~§çbR?³×÷óp<ïµÍkº_bqÕ~í}’пÆö™ÒßkÖ.õ#Óø$~»Ò½×oýü0^*î°8AñojW'-þ™ýX^*q=Íë‰ß½Oïé¤ûŒ²Vù£ü4Ž{= ~žC}å“ÆÁú?¦6îFOô–Š®ÇÞ.íPj»·û2¶þOÙÄ­Z^ÇÍtŸÄpŽäMΩ¿ ý\{æ-c<®ãÝû)ŽO×3e\«TÔ>%ߢù :ñü~íõÈoŠj»&ï[œÚ½Êiû)/óþVü§áF‹?`ÇÔ¿pKýBX¯‡þ›Ê[{ã(à“3ïé> Êæµ¼ÎKÓx1ôÿ6ߊ³CÿRù!=Ù—ir[ž!óý ç{ý*“sxžé ã%É7ö¡½¨œiâ*§82Å¥iÚkÖŸßúCü9#)=\HýÄó»4ÿ—þ^}ó$χ~m§zMv'ç=›<6.²ŽPËt½ÎÚ5úÃö&·ÚÅÔ®%>*žüO%Žó@¿µûã¯Êæ÷¹Õ/ÿÛ¦üSh8`¯oú%Ï­ô]¡Ÿ“ÍÅ£PÞâè*/^.Øë_OEÇuhÏñxÊùÏÆ'ÄØŽôç­}¦øë­^N?ú¾xÛÂÁuÇâ¥éO˜?Ç|†y‘êŸÉ™ÆM‹ÓC:÷~¸ž‹õmô‚äkt,^X<§uHZo,ëU>ôWé>§œ[B~ÏÝzâÇ4ΉÞ7ùSœ’êíô¾ÅÁ0>Ôë8®¤~9ñRè7jA•ú—i|ã>Égòßû!½&‡àµ´èxP~æ;ͤø›ø¦û4”ÏÚ8C¼­õ©Ä皊œÍÇ^ß|R|ñ¡üSÜ—âÜôüdŸcgr Žh|Sþ!þUTíÀêÙxØ:»¬Ó¤óÒèMq&éÅÛñ³qê£ÙÊ]å ¿ãˆt…o»?ÅtîšÜħ¶CùdÞM.”Ïô5Åã2Þ•?Ê3œOËŸS=‰ù¥ã'ãpùAÜ×Â~6¾†£§çßÂñ÷ÏâÄ3’³ÉýW½?XåR{¯þÂâ¥ù’§Ö«ë»"<ΡÿÆúoÏÕüSþ&Ýç qE\_pÒ?óîï™^©‡v‰|Ãy³‚rÒ¹0éW£/û·üoIåOEã|ˆÿï}³›ô<Ü[½´õ!ëç?µ¾îËMã~-Wužh¼‹ßv©_Þëwù†ñð­ÝÞöGŠoE^ãŸq ÑE=KqK‘?þ õùm?Z=‹ àçZ}ò#{}Ó‘88—ö\ÎgŒó–—¸µõ'Œû*÷_× l\Åß^ùÒ|£ÖÛ+’‹èÆz4Ô¯öÜpù4>‡qkºîaeýÿz¤K8Žô°ÑÚUÌßæm¯çûœç{?Õ›I<¨EÏeP>b~ÏüC¨wú?5¿R<ÒotßÆ=ñ¯Thü‘nª/oõl7ÿZ_ìäÞ7½Ú±ÎËËq«|IŽÆÆñ>·sîÃu„”ÿ[¿ØèÛ¾ß[\$ã†ü†þÌô…è§÷Q¾?êµêÕí6Ö§—ãA÷ߎc{Nqk¸N5=drþ9ß±ý§ç‡v0æ“â?³Ï?¾Öä íéïõ{û·ãRû›ž‹yUη¿¤ÿb‡µ¤þ«Õ¯ã³×#Ä‹„çLϦã óÚê§ú-q¶Ý'{H×;S¿4<Ÿdr¶ÿ‡¿Ûä‚ïͧvÙèýSö´×³<ò=º˜oŠ‡ã€ü§¸nç@ï[{;W"q¡ÑüÓèôýçÔ?’^Óxîõ}=Ý÷£~‘¼¿Z}“Ÿââ^ãÛä}M‘OŠkþ©óZõ¦ÿ¢êSœ:‹/Ïå¡?²üýe¿4ï ïX¾s¦!®®ÏU.¦7GÓó—ajÏ /½ÍÛ¡ß©ªåÒùŸÿí±>Žwx®Šè˜ÞMϯó Áo˜½µÿÔ¦ë²v.¦êC8þÔËn»šŸ¿Y÷Šq“ù5‘§ñ%yÒøž¨%¥×ž‡zã‹«{}·3ÜHy‘É‘æg¦ß–—‰œÄ·ò©ÅüA“s¨Ÿ¯ñBê/¿^ÕçMþz?\‡ªþ®Ñ5ýJõ;§Ê·Êý§çz_ð¯ÆÉç³'£3Õ£—ùÇTŸo{â·×Hžø<˜å¥ÿ/Ÿaü±’ÚC»o¸7Ô´£Ô½ÔÏ”-Óy‹í£êÝó³Æ'Œ_1Þ1|žËj|kÞnóšú‹g*_ÃÑi\ ýOåC|›üÖ¿pž?°¬gq0õ‹é¹ÊÏö³‡ïÄ~Gâñmÿ×|¢Ö³xEï;‰ŸÂkòá}ÅÝ¢çŽù³÷¡ßMã~ãgùÑ´¿¡Ÿmíeœ«÷éÚŠâÆé¾Ë0¾ÄóLõ÷ú•îmê‰þ!_{þOïóUý(ñ¼Éaþ?÷×øò¬£îõu¿É)ø°õ'Õ·p>Ž/a~Ûî§yZ‡rŽñþ7™?kõ-Î ®«%žOèg•ƒJl—é9P?Ã%…É—ú5}Ïúm>Bý‘qj|†x¾ÊArÝû©üÐnŒïIL?IoR¿³×ïÏI®Ï`;ñ7*w·ÿÔž¦þÔêÛ~—íS‰¿krLç3Œï1ÓÓ!¾0yÛs8÷†öøvýïüÚ¾²œAº6^çþy?zÚNâ2ÊeyÊÔ>ˆžÅEêï^_õ›²n«þ“ü[ÝçNãÝŸîÛH¼¥BãyŸÏßv{=ÖSþ ·þ4.¼ýMÏåíõ|_òãZT°»Û~ê_†x8Í'j»&ìçŸ@âSãgöcñ.ÔC|.û·Óûª/a>F%Ƴ/qÒ}¾×#_äâc¼þð‹ãà©öXù˜_iõ_âæÇZû§œvvÞØì)Ä{xúý&¿ÅQ{ÿcË5ݵùþVR?tŸ‡q…îÿGoÖ#ÝToŒìÍ¿ÞÙ뻞­ã›ý[^úSKÅ#S=¢q¸ô¡ŸM^¿*om_ËÔÏ5yR\+ò6yÂvÚï*Ç^ß×áþÁ8þX~!ã×êYh8@ì·ñ é¥8‘ êµØy<éxn£ùmõ(…ñÈäCýÛëYÃáûDÏì¹Õ qµ·ëTRÿd~˜ä±¢öNq‘äüé¥þ„ôþ·ûSÛ—þèxXü™âvªGù,|§äµûm¤G¿é¼‰kõ÷ú/Å[Á©q¾–æ5éoŠãþÿýæi¯ñ¿ù‘«Ñ åKñfõçFoçé¾]×û$ïW^º{ýZ/Ö“ÔžHŽé{NC½Žûó2>P4.M߃ûë¸È:µá]*ª?éüÊ:°¶7û)ß…jÏiÜé„ͯÅåçÛ>5É›Ú+è¥O÷Õ¼ô#—Õ·÷Ô†þ´>§ë´^ìW†zlrÙóxÜ÷z®'8¯C?ŠãrÞ“ÆñJ7-Í¿ÿç¼çz|Þê…~PÏõ]ù~¾Ûúȧþžö†§þ:ÿ&G¨Wo=‰‡º_ þ¸ñIûmû¥¤_{}Ñ©í’úEý¹÷ ?²¿t¿ì¯Ê[å¢s„›d~T¯Ì¯R!\bþ$µ»‡¼µ_­oþƃŠÊe8Ìü¾ÅyÛŽgåOeŠ?´Ø/ñ¹÷mmÂõƒZ,~Ã&w«gvêú½!¾D|þ¥ÊK|k1»ÅÿsJçSì˜ÚÕûM.ô—ì埢WÇoºïâúo}[ïÊgx¨Õ3Ü5ÌKóOoí>|~¯Óñÿ|¯÷ú®oñëåºn½Æ}w:÷0Ì7âx/q°–·x‰®©¤ý¸õ —¦öÆK|þr=Æé9œ·þÊ~§ç6HþŠgS»LÇÛæ/ÄaH?ç©ß&¼×·<$¿D=˜ê“臎ìÏ’ž]ºÓuzÃs©_—8KúVéÖç:Žéº:Ч¢ÏÓ8™â³ZŸÎÿV½=çGi|Ýß|‘.ádñëJæÖmU?íyå+ÿבâ¤Z4•ñGùÈÏ¿\_C9iÞâÑ^¿?7½¢õšBWù~4œbñ)Ü—MãbãâclgqN·UºÊ篸‚â°í ‡~Iå9Îõþ½¶xmóœæãæÏÃz*·Íéý^Ï÷͚݆~£òE9d½T¾tž¬=ØG•¯Å.k»”¿ù;äÎWê§k»úã¶áw[O‘üÃè“Ü­þ^ÏüÉ¿§xÏò®0ŽS?Ò¸pëøÇ~,ôÏí9á­0nÐý1¾?XëÝkO‰÷f·¶ÞArÜëÐP®!=Ó[ý®•ùå½~—7µKÒß´þMñL‡ùDkOãâ •×úõǦùCãkë0i>PÇ/ô­}ê·Rýú¡·qµÑµy#{œ›Ò»ílœ¦ëÂCý6¼5Öë·ëØ¡þ¢œf—¡>œí¾IõJðžÉƒ|‰.Õ+ÿ¯£ùYhwÆ·=7eøÈüƒì×4yêøíõ«Ü©Üöá|Þûéù£4šú‡ÊÏïõÝŸáú‘ú[«gy§íkؼîõkþ©¸xÛ§xÄü^h÷ÈGöoî}ÓÓ½FíZ?Ã}'Ô—·v!8£Õý|Šo‘_ꎟ[ë}½NýxÚ?óg†Ÿköúþ çkºÏ˜âµû\ÆÏø49Éne¾­úSÉ[Q~«/ëªõz¬Ï{}_Oñ]ˆk/ÿéúßÐ^Z{ó—{=ÒñLj—´~êƒá]*Ê/]%þtnSâEk—úÑ!îã§!Î7ýC9$Þ©]L׳Ío†8lgRû4¼Rè)Ž°}ÅJïmžaù!ôåžÆ=ó+ÃxÚîKTëïõxå|›¥þú¥+2=ûëyô)ÎJãÈã‚PÏÓ<­¡þ¶ú6.õ$I/k<ÛëWy›|ðÝØÆ7ôϾÍÓGÞØ/Ò¼:–/Çö5õ?CüG%Î#R»{‰#ÞÆk›Í[Ò¼p· ÿŠ^4úõw¯ïzŸkÃUTÈÿ¶z¤—éþ’Ä“Gñ~§Ÿpžn»P°Ø³¶³ñ<×ä4»£}Ú4?žÆïš?À~¦ùtŠÄ>S}¨×4έ^êGCÿcñ¬É/øoÊWý¦Ó65ÅÓ¸gçëR½M×·Óõ~»žÊ-úU‹úß—þö>·õÈ¡¿h|§z`~ˆÆ»¼góâ©ZH>z®íÍ¿ >Dúf¿d´Ï7ÄI(ý¦ç-…q«Ñ7\Kóó׸ÚÅ•£ê}ˆÃj?êuëë^¿òÕ¸eþÛì?åkzç¢îïù>bJ77á¹ògÝçSÜKv.þ Ï©~Ç~!µ?™¯z¿ÕÛë÷~ˆŸ Ç)/±{ÔƒÚ¯0ÿ¿71Ä ÷~ØÏV?ÅÃÓ<øÕç±Þ¾wÒw§Égú’¾÷`ñ.ïJ·–´}ÜŽä'ÿoú 畧ö€vj¸ã\—õeÃ-^ˆ‹¨P¯×iü6ºš×ˆ¼µÎ3ùñÎKœB÷§~k_Qn;ß=Õû½ånò§q.õÿ€ÏRûÐñ~{®Ùž‡~pš¿´vä_÷›}ÿõÜBºÎbùðËøÔä„ø«øˆúöÔäõÑüº®O ž~÷±?aþšâ‡×þÉpYê¦ñ€ðÖô\@•K¾¿r¯÷z¤WåP1Äyé9´t|Ó¸€ô ’|i¼yiµŒýÉ^Ïr‡~ÇüCá×ÚYâ;«Oíqöz~Nãpê¿ÄWɆzƒ÷Cý¬Åúaô‘Þ^í[}Ã/a?ˆÙWåw¯‹¿0yéùŸóÐ0®µú6Ãs¯õKp_«ŸæW7.®Œ.­—™ÞÁ¸Õú÷ú-Þ´xœ®§›7zŸõñÛÞò“ Ùò›âã½ÞÑâö*ÿØ>Ãý¸´>ú£tÜB|n|§y£Ùaã›Æ«4ÿ€xtþiLvTŸùÈ_Ù/ªõïu=¯æT_ñRH§Ý§|0ý2Ño’#öφçöz¾/ñç^Ÿ~–}Mõ³æç,ÿ‘z—Þ^™–G«ß_}©e¬§¡ÿ"úTÒÍcx+íO«¿×w»ifö"û‘S|öçxkóhù€àª&Wª¯¶>’â¬iÿR—â:Ó£¡Å?6zE•ŸúóüR={I§õ#äKÅæ÷ÞæËtÿû5fãq&õ±|/ëµ~üq=y^K<S›ÎoØ¿+ohŠ×Ósÿµ>ùÕôœL:N{ýN‡ö¦ç"Òõ9êÇGNŠ_µÄ8·Ò•øb8Gõ?Œ¯µ]£“⌗ãSýÉÓê¾°q•xE|îýt>Å3S?›â¢·×÷}—Kg˜Ç¼½ÿÖ7z–Š?hôB\|ŸÛüŠ|Î4.ŽLÏ ƒ\µh¾ÎçP¯ësÕ‹—ã8ŽsŸëï^ßò~® ×Þû©OÇ=ÕO9WTË7I?bº$õ‹ìéŸÚÏÆ•û­ßÜy¯S½¸•®ó¦q–änõm](õ£4ï¶ßâ9#”ÚÇ®;À|·öé<Ýþ¬ßå2*q‚Ê'PûFOüTL'ŒÇŠƒi}ÔæwŠ¿ÄŸ´úaœ¨÷éå9rïõïß·çW‰Ÿåi|ÒiíÅNZýÔNÈO Ý'½ëâ·©¾áâÔŸS»PO)®¦87<ÏÛYXßâÒ¥þ™ü×l¼S}3¾7þþÌøÚ¹`ñ[Î^¿¶¯elŸ¡~Övķݯøê¥rU~)Äv?'nŠõ"ô·M>Û_Ûë÷~¤ù¤|ßø"?Àú4õ»Sœb¸^èÎ þš¯ qDåÛ]Š# ?€ÿo|ßâ®a¾VåT9BÿªtHè½ðt¾EouŸ<]ï&=“õeÂQMoà™S»5ܦq¤Ž×^Ï|R=´õŸ¦¸Úâ‡áÍ´ýK¹ã~¥ønx>èÒ±~›ßKñÉEç+C=#¹”¿àœÛ.Õt\Ã8Úè˜üaÜÖ8%çÎH®V?ý*‹W•ñ ×?t¼¦¸v¯g¾b×µh| qKq»ÔS<>Œû±“õœô:åûö|YåKó íe± +).Nãf£Ÿú¥áxÿõ·ÉIú=¤séYÒö¡ÞµöÔŸô¼Ð§TzÔìÏ”oˆ?ºoÿ‹TÇm¯_姂ýJóÃk0ï(OŠÏ*ÿ½žùŽâüé:t¨/æ‡ÝT?-®–ñ£zؾ´»õį5z¦§U>Š‹ Omw¯ej½{=Íþꯇþé™þ®òƽ8^¦ùƒØ‘õËêÝûâocÿK¸–üNªr]å4¿Cò·û¡¿LqÎ¥ x¡ñ}©OJgˆ/j=/YwJãBã—úƒ—õ‰ß[A×(G˜‡¥qò^—õL¢×î¿Ä(ïËv&ò3|Fþé­ýLã’é½èMãúíx?‹ôÈè‡~º–85¿v¥v"çOS;ýYš¯ïõÝ^ò“'­ozíd|[;Ò?‹?©ý¿Œ¯·=áœPÒ<§ÉMß©‚ñÁﮄñ¯Ó¼ph'÷—þ¿Âô“Ö¿Ósg°Ž>Ž‹/q4•Kw¯ïß/)¾—óe•N£kç†hÜ ® ÜÃ8™žWB½2ÜŸ®k†ëÉ­?‡ïy¿†âGº®Mëî{=Ëý¿Ïm~Åß7>Óø›ÆAós†#í¼¨Œ]×¢~j?†ö9³éþçxÝÝð0ñ£÷ŠÓ¼p‡í%/ùó|ȾE-´^sŸË|·û&·áLÓ[Á½·>Ù›í‹W=°q&\6=Gmq=õW6þ‚ÓëýT«×ø‰oô ®Nñi*§Êa~'ÄiÈ/Äãxö2¾ÔçMòk4OÃõCõ;oífêo ï¥x’ìbªÿV_Ö7nýÔ@5•çÿeœ÷Cø+Ýp¿Û×qªçÜíÜ~ø~H»âò·zLãQ‹ñ«õZ{Ã…S\køp¯ßéç’c?BeÏÛoýÞBÿÓsóí9àîƧŽ[è¯ÆøèÐõ¶Ê­ëè2•^»/øW×eÝ¥ò‰ãù»2®JŸÖé,ŽNñà©q}ÒŸÿ¦y­á“âs™ßVºï`qu¯_ù¨ñ¶ýõÿI½´?­ÞË}ŸGK¾ré§v”ò7?gþ“èìõ{ýtÜm|¥žµ«r5yÃx×'=Mñ[W{¯bj7©µøtðM-®7ú„3C¿që›þ‹6û@>4o{ýÚ^ó¾ÿùßžù¥ý6=%Bûu¡ýŒõ?Õë©ŸÜsëûƒ|L~ËëÿÇErõ_ÚÕö —¥v.þ¥ñ9ôm¾j¿Ò÷íhÜ%>W\õzÜ^^î ×[Z»4NÔùqÛ‡ù€Ë -ÞzS#~þ5^ýÆþ„ñ´Þ§‚rÞ}—Ÿ_éW¹Í/5y©¿i|0nq'Í÷mi\†¸œÆOýä^÷/á>NÇI¦õÂ<嶓ùÅúÃx¨ü Þ¤ö8ö¿)®KÏIˆ^ Üf×Óuÿð}kâŸâûé8×’úW¤»×¯rT{¾í­0¯X_â^«gí?òÞ»÷O}ñ ©¼6>õ~Œ£¦û,aüˆãJš?®¦~A®|ÒqNã[ûµï#^ ×Ošœ¶..ë3µLñY{¾×÷}ÓsÁ»ŠÇÍÑ8Mó³Ó#ÃçiÜ´þŠß´ûc¾éø ¾Ôy ý<ÊŸâ9‹;†3R\oãkzú1¼6y^âíÊ/ösS¿'ãuë›Ýïõ«ÜMž—ãp¯?üÞâ6Õë>Ù[ãû6_Jù›_(ñõ>÷³^×OÇÃÎm@~KEãå‡Nãc8%\µ¸g~šäŠí%Ì‹RÿôVž±Üõ{øõ§Ó82Ö>Í«_ö«ö§Ñ#ÿbyÏÛ8Ký"~Ãýl*ã8-t±ÿU?iœ_úÅÚž®Ï?gM>ó_(çKÜý6O@¹‡çjMÏë5ŽsÙ×âŠéüŽíÞðü”¨§Hßò™¡§û±ž_“s¯_å»×i¿Âxt¯ ´ƒáxׂãEï[‡þ÷iHŽýUÍÞÓóÖ{=ÓOów‹³iœ0?köLz*vUë7¾†¿ÿ!?dù¶Ú¯­Wš¿¡öÃ8ã-±ó{ýGÜaþ ö©;©õ©¨_ q.â è“ÃðÍ^õ¬h<6¿˜®˜~ùCý$~î?dônô¯Êiß[xíÿÒøNó9ÜÑqû«ŸKÏe ½&7ÅÓð|d“Óò¤p~±~mWßwKãOª§b'­Þ^âwï×8™æ7æw­ÿ²¿x¯÷úßt\§~òå<¿ÆÇi>cë{!ÿZÒó§ê?¦vêK“·ò Çåõ<¦çŸ‡zC…ìó>Û¯ú»WÖ¾ÖKãyŠB½ ïMýÚù•½~¥3¾O~ô°É ãÖêÝxö»üÈ'Ä?M.‰/ú]³éùo;·—Êoúêk?Ýÿ’ùU?$ç[›|&×ioþ1ô“ÓûSc÷+Ÿv_æ­Õ+ß lô(^Ѹ›ÿñCåOõ¦ëåíy˜çRyk_·ý0¾›¾]â¯C¼ª÷Sý7ûIã³½?ÝÏØßô4+úSå½×¶îPå·ïqšÿ4ü+뎷Ý[ÿ(ëà©ý6ùÓßP¿¦tj™Ú%¶<¥ø ~k{“Ûž§~OíƒôXpßkžÆˆkMî!ÒçÓ¼­Ò¥÷ªÂs)iÿ}±OC\tÒu]ÁÛÈïeœNÇ¥ñ ñ¡Åû·çRµŸÿ¾µ|Êæ1×ý% øãmܺõ_âÒ)NIùÛýûœÆs¯ç§ÝP?Uΰ=ÑIý]79öz–‡üù?OHoS6ô—æª\f_tÝèȾPk'ñÄê#sÞ+¤§þçôk¯çç¡^]¾ŠÝªþ qAå[Kêw©þôþÔ.ÇôÍ¿ ¿ãïÛ9ÁÈg¨·ôÜîÇyøùŽ³Ê“ÆÿÖ>õÏÅ97/úy¦“Æ9Ñk‹ç ŸÈ÷#TOÅO .2?1ìo{òQþ°îOüZ{àgå­Oï#¿?úsÅc¢g:Ÿ©†ø¦Ù3­· ãNêgZ? OüSy¬¤~ìõ,/¬‡Üz/ã³êõ_ý9sÈw,½GzøG¿LyA,Š3öúUnóƒoýz[GÛå:µ?’ûCïm<2ú÷yŠoˆÿGN¢×èÖÿK½«ÏýŸ4~æ¿IžÂÚß&Ç[šÆ­0?Ÿúq£SŸ×÷›ôNâ“ɧë!¿~«úuŸ§ë'Ã|ÚäT=šîGRœ7?tî‡ÿ ØÚMñi/^Ç_;'Dx'ÅÃ8‰rCü¿õCœÛê§ç–þh?ã¸=µ‹0.Tzx-öËõÒïÆô©ÿW.ýT§û7bç¸bû¦o÷dün½t=Þ£0Ü ó¢ëGaþxù¾ô‡¯ë™|$®Q±ùª×濪|ø¼®‹MãàÔš_âä?Ëaó þ¡Ñ•õ„·þÕüÔ•CΣVy[=’‹ò’è|o<þéúMŠŸ‡ùÓ½oþ­Î;ùÉt\I?ä= xªþ¯Bº®•úÕj]ËôKânì/E/Z?L_-N}i÷%¾Ôú*‡ø…xüa=ûîƒOýámWÇ‹èœÖÚõZý¤õ3ij©_Ç“‡ yïýÐ/·úb­>}·õ£j¿¦O©?Þúeö0•Wâl«?µg¸nõÃýÚÖ~¯Çû©ÜêWêõËõI:?së ãX<®Ã}¶&·á7šçi^ú¹©ý¦ýÜëû¾½GÆgŒ›)>Iq?}GÛÆÓÖä=a”{oo½—xnœ‡Îç¿^cþ7ì=¸ù˜ÝP\¢v_ÍOZœ‘uìZ¯Âi(ÿ^ôcþ)Þ°÷8Rÿkó)÷cùS¼ê‹àJsC¼PÛÑ}ýM÷5Ì®ÞâÓÐÿj|ÞëQþFâî'Éz‡Åc»ŽÇKž×’æ;¤oiýÆoŠ‡Âx|¦û…oã_¥·×£œ?¦ù¶Ø7µ×Ð_ËyaÕËÔþ-ÏOíRÖkÑøhó;ÝÇî»4z¶žâ„û¼žÛJý©íÖñÚëw:6NáøÖã6°÷ÆoŠÅ>š<{ýÎßìÚä õ¨ÉzÓä3}Håúy”ƒúzÚž‡¸Šé‘ÉëU˜š½4y^ÆeíÑÙëwú!>Ä~È|S»ZÔ^Bû5ï×Oã©ø½)N¨%¶§^6;µuþ´¿/íLÇcj×Súé¾ö©ÿÙjôB»'9¨Äv;ô6®¯ù‡zxéQ~R×1í|íÛñ¯ôvᛎÓT.È'RÿÓú1Ô3å ~LqRzn‹ìpz®üAˆÛkIñ©æ`õù½ñá­oó*ýÃk¢»W&×t] ÄUÞ4îßzßJê§ßâI¤7Å!ŽB:!Ž"9Ñ?ÿªý‘xí>ôuüȯ ¾h|Óu÷ñŸâë^ßõ>×Óü`šÒýØnÿØîÞßëwz_ ÷‰¿nò¥8ù-Nƒþ´ú©}×#”ž|· í põ+Æ)i|»Žåýä½–uXÕc§¶îjv~û^ïõÝÞü,|gï­b¿Ò}Þ)¾0¹„_£›®£Ò|˜\†¿Òx?ü½ô÷ÊäþïÏõÑŸþ q—q59+{ý‘»ñ ñÊ›Úyˆ—ÝÜ1žƒóãø#x½ÒÁöG~ú+õÇöS(oLãXEÏ^¿ò½ý%ù,_’xr雾½·ãdë!ιr‡ë q,.¥þ<õS¡\·>¬G×bþ|OR’?Üëë·Éùv^-±ñ±ù®“·øiv%yÄx\ß) Ïã§ù©4ÎÔ~X|Kã‚wŠ‡÷úý9í'Ù¼‹<·¡½¶úÿŸˆéŽ”õA”'Å1GÓ8oò©?ÏbûP¿oû4ÞšžØûL¦§ ßµ=•4Þê}YŸ%y¦¸÷5~2»¥ñO÷Omœ¦~#œÏ¿â *êÅß½xžŒOÕ3‹s”ŸØzÞ>楶<ÔOÔ³½~¯gãbvoúæ‰ñúÄÿÆg꿆q¡Õ ã™îÓÙ:úŸØýÊo¯oú!Nmòþ¯x¾öëܯòؾëÏãËý…ïP*N6ü"yÄ­gúâ‚).Šñ•ÌC½otTÏþá8û ¿½"9Ñ>Mži¼NÏk í½–ñþpšÏHþ]é#›èÄùŠù Â{ýí—ƾ·Wçãíù?égZ^Ï£Ùí^Ïõ ¦ûHÓy6ä4úb©¾¦¸¢=Oó [ óØWk=»øÜüšŒCã+û¾á èwãkùMÊŸÖÓì=ôi~”ò'½ê»î¿´ÃW·~ªi¼MãÈ”Nø[é4º6~).IóµTþ½~¥‡zâÌ©¤z.vŒ×„£§çHÌK½p|ßâü&·åÏæ×S{xk‡©^¥ú/ç-j‰íø¿¥sÛÙþQ¸¯Óä ç–_H~ ×¦'–'šÜé¹S×iü|—öK彺Ï÷zæ›âʇãMòR>UK'[;±ãƒÏÅÎu^Lϧçä¦ö“êè ÑÅvÃ󹕟î³ïõkû*Gk/~¥ÉCúñÖnŽüiÜHý¸éCgÚ¹‚ô\ÝK±þÿí»^Š“S½†õ›x]/Œ_ñ¹ Ç„q¼õë¡?Óx8œoœ¯ÔnR¼îÅrÊùŸZ¬­þ^ßò„ø½Ê‹õÍŸ†ß£oíByë}âcíé9ÎtŸæm³_Ù廉þéþ·oùÒ¸žê_ˆ{MÕîöú]ÎôüL:a?©¤z¯~üÕ­îïè:Qê©~‘£–×q”ìÊð|ˆCÿã÷~~•¯Ñ?õöúUޟ˸7þ4.Gžt?´úÉӾijO•Ëô#ÌOTCyîs¸ßÚ§yµ‡¡ǹ”ïÔ¤öÊqéߘö{¯ßÛ‘~¤û™ií¼Ñ7>¡Ÿ´¢ybjoižÊÛü ÑOó Òó›Ê›î#¦þ=Õ‹a;ò¯÷ú­ÿ´ø.tj!ýA9ÁNoý½¾¯Å¿´ûb¿T¦ó­í,NÁçMn›YWûÝëwþ©ÎG¥ÿÖ~b= ãÖŸó¡ÿœÒU¦úîG§ùcÌwøÛèˆ\qü óÑ·ý¸íB{¬Ïïõ4~ÿ¨~Lý‰Œ{_ïµ­…ñ´ñÙë±]•ƒž·zé<½Õc9W‰r¥~¬ÄqµGÁ–WTº–?œÿXŸ_Î?•XÓ¼2\oHå´ýû^íW£ŸâŠ§P|y²û©=Žé¤óœž³%û õP×wê:è^¿ó­rU•®s¤ñoÏ4®ÙºBŠsS'»°óÆÃq~ëßâ9ãÓèɹ®vßì}8oí –”/ö¯þ_|¨·•“gŠ¿C¿¤ñ0ìÿk9§ñ•ü©íŸ‡ö`Eõ×péM§þËpó[?æõ9Ý7ú)½ûÆ—ê)îµø—ú±Ô*ýsþ×ì™äM󧽾®›\¶ßmþ9\·‹ý0Í+ä7H_Öm*n¬õ 6ùÒ8úÅF7Åoýzªÿi"}’ý¸Æßâ§áòi\}».1ÅAv=ôóz?‡4Ž·eýa¼>1Õ;ñ;t]ûƒrW:á92»þó/è/ÉIò \{}Ó¯÷m<Ãuë”okÿ©w¯+^ÜÚ]å—â&󫵨¿âíÿK¿’Ê}Ÿ‡ñ4õ[)>Õ~¥çÒsò«òYœ·ó,Ãu[ô) ñ’É7ÅoÚ·t½3_À¿$W»Oý•ù»õà<û}nãAÿ·Aã"zRå¯r6ùIn²×S8n7«~¾<ÿ›ÓûøÜZj$·Å»!Ž¶ûqœHqÏK¿ÙäÜëYži¼ÿÒèœ_[0}žæ Ó<,ô‡(àÆ4.Þç/óÇñù8Ò¯#¿Ígú+8uŠÆø‰òÀÎ^ßôè{§i\%»54ăõ~«/8›Ú£žÛ~űúÙð{ÛÑ|yB¿Y‹åÁMîÐ’]áÿ„‡x¶='} ã ñ1ÐÚÑýôü—Œ#ÉY êÏ^ÏrŠ?0ÿJ÷SÿÇU›×)>•8ï5»¦ñJã³áªŠ;÷zæcø‹žƒý5úáwQT‡ó«qHæ}Œ¤>Ò¡vo×Uíþ4»P¼eó´×¯rŸxžåWª\í¾Ø©ÊöçÞŸ®÷„¿Æ7¦?Ì4N§ùÌ^¿ÊýúÕ§q]èµú)> qKS?‡üí¼µã{¾íhc—§vö'~0ùðy(glwé|ýÔëx0Ôo=/dëü–_LÏG„ó®óõ6ΖõÝö|HŸð@ëGê/m^Þ®Òóº.!qZÇ7Œÿi¾‰ü)ÿ¡¸÷֞Ȟ‡òSií÷ú¾®Óxe¸!|Žô‹(¿à©Æ‡ö½dîu¸_Öìëó‹ý ñ°þX<™žó¢ù‡z—ïT¯C¼•Æ­±þLqâ4_±ýÆ—~Rãè4.¾ý}‰·©*§Ì㽦¸>ŸÖü¡á”*—Žã^Ï÷Ã|ªo›ü oã®Ó«¾‹¼­^ˆCÆód~‹èL÷aÌ/ïõM×ò¹ÔŸ§x…ÎÁW{°óB!Þ¡þàséO«wžÖã•îpõ‚æ·îNã’ÄéÖ™wmGë'’?7y g¾Í '¥vðÖN¦ãHþØÎû˜¿µxžIãúmoë2„ËëxX\¢ñKó’´Ý[œú«ÖŸnÏjü0<Úé4žÖãK‰ªÕ>à¼I“{š¿„óßôÚÎMí7õ_UŽ½žÛÉyQ”Û® w›!¿˜®_’3Å[aœP¾¡j|ú·KßÆËôt¯Çúþ[ÿJýJý¸è}-ãq>×…~£wžÿÑn¨¤8òõ¸‹ãu¨_Þk›™·F'´÷Û.ôÇ­~ß)SÇý­?§ø`ñþ–7å‡ÏÃu"ì‡å/©]§~ƒâÛ©Ú×ÿ—®t Q?+Ÿ—qÓâ{•»Ñ=r„¸„ÊŸãûã†ò±8 8†èÙ}*qü5iyY¯à—äžæ9&o£âYGò§æ'R\>ó!¾¶ù¹ôÒó›C½ yëý&GíøëÚ¾çÔÿ¤z*õâý×ÿUºC?¨ñ.µ!¾¿íO½º.m8Dp@£_ãÒ4î—øŠô§ñ€ôÅòdáÓä qDk?µo›¯áºf£O8gŠ ‰þ]ýùºë‘Jí+õc¦W–w¥ñÚ~Ãs vþ6½FùMÏÿ¨§:!_•‡üËñ{ýNž·zaP¿]í-ÄqÚïa¾ÜìÒâ =ý1¿)ç jý{mtÃ}Øد˜Iqrš'Ôñ(ÿÚúaò6ÿ»žé„~1ãq»éù4ò‡"?Õ»÷MOdÿ¯Å«=½Fy+=¿FüÁ­·×c½Æ×âõOÇv¤§?´Okë0§½ø+ê÷Rÿ=Ì?Pž¡?!>÷>àÑÆÞ¯tPÃóM^Òg›òKÄ?]Ï'ûy‰WÓ¸×äÜë¹]è/«µ~ÏC}¶q¦bëG­>ü¿²µ»í§zczœÆ ðXßð5à<‹Ëµà8Ð{â‚爾ù¡8_#½܇r™]úғóc­=àzý"åâ ß5úÃõP”/ÍG€¯WÂÝÓï,ýDãâmÊS/=Ñ3õ'áþi*ÿ­Gý'¹¦û0u1]ß}¾õ!jÏe\«|Tþ)û‹õv¸ïÜäyë¯É~ OžÜç´¾.øþ¶—|-Žû–‘ž•¼Æê7~Ãs\é|¡œS} çùM÷1Ózi~2ÇK'<€ü-7{2ÿ&þ5ÅY*Oº/"q;Ç÷yº3ÝW¥ùÙë÷úS{œÎŸøÖ¿—~á­ßoü-3¼EãSÖ3ˆ•¦wS\e~%CæW^ú%*éxS;¤3Õ‹ ß·ö&ïþ7–§ë)’‡¾ŽC/í¬Ê5=OãMx üµ¿÷E?Z{ªoç’ÞÆEòûaüç^¿ÒÑöÆì©ò5ÿ7ÄËè_¦û¦€/â|ÔæÅöa§†ößä9¸KÆ¡µ“ñ©õZ;ÓßÐÿOq Ò!}Ûë¹d‡§¾ø©K'\G ¢r…þ¢ÉCv²×óó?U¹ÍÿT¹¨}-ºN>_Ö_Á.à=k?ÆC‘âU’ýcŠÇÓ¸KøÈæ‹ôÐÎX>Gön~9Åa&gÓ8[êOÒ}«½åC”Î {ù_êúžE­r›?Jõœpž—ý,ÉEëòÖ?m/ôHÎö»×#Û¾>'}ûÔ«%Å!Óx…ú;Åû¡_lýIã ù•½ù¦|Ò¼¤Ý§õ·tÝLp5ÃMÞý‘3ýeJŸögMŸR?‘îG ¾£~¡ÿs*xýöœáÃý"7êáíp¾ª¼Mþ0N#ÝP_¨Ä¸ßÖá Ÿš§Ï_ÑGå~ºÕOóüÔ?ŠÞ¥ôj±ýã8¿‡ó•D'Ž'Â?Õ#”ËÆYòÚ¸½Ì‡Í{«æÅqþâhÃ%Ô®ÑMåkGS¸.ö)Î ×ÛŒo¥‹ò¤ãoõ§ãJzX÷9R¿”ÆÿtžE¯R¿nöi¸ÂÚÕbóPë‘ü^:¤ÇÃu7ʼn•>ýäO•ÿ½~é‡ëóJ_Ç/<÷“êýÔÿ"?ZqÇoÊL>ЧJ‡ŠÙ…}gô-î þ)©%ŽCaüë…xõÄÆüFš7¿íÎsí—õ#=ayÒwNýÑWÓs·éùç¥vcãuëY|™â6‹Cáx4>‚ãø“晤×éüH<¨EûOçãSœ•êYýÝëYÞ?Î{›/ªÜÆ?ô?—ÏtÜR|góøGzéøÖÇ‘tœÞí$ÅCúí?®Æþ.õËi< ýN“Wp™ÆýЮ]Š“aû§òº¯ë¹é~}hOVZ-Þ.7y‘oèwkû{½×¯ôµ=Ùõ—ô‡ü…ÌÓë8òr>b4Ä×ß^Ït¦ã˜Úÿ4Ž‰Ÿn|>ý©…â”֛⠈ÚnhŸžÅO“3Å»á|Q?0¿˜ê{ˆ_íúõ|KþÑÚU+íW§ø:ôãÓÕß)ΰ~Mç!Ý2} q·}ûJ¯ßé‘ü©ˆ}Lãwl‡©ž„yéÊîƒZ|krNõËð2ùïçMñ Ò™æOD¯¶³õu²³S³7ÃQ¢µ]-øž‹Ø!ñir†úõìâÂ<&öG²þV‹úwÁçf¿È÷únþ¬ÊK|õ¾ÄµÚ¾Ñ«ögöoû÷D¯mü°ù¿j‡{ý^?Å¥Óø–úí0¾¾hôÅΛ¶oÚÉÑè…ú[éLñ­â²4Z˜â®59Â_j?-±þOãD˜˜üc=04Ĺ*Gh'Zº~?íÙˆ›S|ú—VyÚï^Ïí-O˜úm£“æo¦W©íËôëÒ%½“þV¹šœi^mó³×#½ÆîËxßû0.õú-.£zµÝF?ôÄgj·6¿M>Á›j÷{=Þo|H?A¯ÛsÃô~uˆÛtl³Êißÿ¶yžB"ù5ô»ráÖêÕôyã3Í^â!ÅA$Ï^¿òiôì¼_½>ÿ¯sè~é9œé8¤q)Œ¿µ(ùmtÒxfãóö×ÆÙðæ0KíàïçWP»Úÿð{Tv?Æs)î´x"þÃæ›üèx\%/@ºS½…8;Í_H¿oû½ë#}ŠÇaÞÇN¼ý×s0S;“óµ¦wµö#›WÓŠ›©3ý0ý7¿˜Æ;‘Ú§ù“¡$ÿ‡tßê=]‡ç©èóC¯ÇvŠDOS?ÔäyIOç3Õ£½"¹c;7ÿúö<õ‹éx¤~ ô¦ÉQû]÷gw¹¶ù¶u‰¯i|DâÔÖnêS¹_®+49i~ÅÚ87yöúng~:ͳ¦øÏü}hwúü¯ò†z¯tR#ö1ÆÇ¡k÷SÜký‘ñqáº_¥øåãËmoz^òO´çá:—éwê7*=õSÃuI’å¥yã»Ñ»| w½Å é÷\àÖ‚óórÝèbÜOñf:~rþ$Ôƒú] ëŸíÇ ŽhüÃ|2Ž÷)žJ×SlÞèZì³–x¡^¥¯øeh‡ÈÏÆ!ŒÏí>äe×HOe|Iž4Î6º¤?{ýÊå\ßÚW|cqü-~¥ýØ]ø‡þñÞ7yé=—ÐS¼÷J/­âæ×öÊä6û3=¯ó0]÷úc)yo“›â=å=Sœâ—Û¾Ì˽Þ/Kíò\×}f[wøÜúó‘3÷XßÍ~ßÆAÒ§)½ÐÄÏC~õ~-1>~÷šÖÑÂsGMŽÔ“}PÞHöE~£ü/2éUkžoÄçU¾i¾>ÔÓZl~ÇíÃ<¢Ö¯ôª¿Jã!ÒÆK½oz÷W¼bñô–ì]âL«ox3ÅõWÞ;¯×6ÏZŸäH÷S;´çÄ/ÿ/ÃïœVzÄŸêµú’7´v•ïô}ÃËC|Eú›öƒò6µÂÙv~ÕÆ]øáµøûÔÏVzµþT?ÕŽÈž÷z®gv⑧¶þ¹(®„ñ²Écúþá{ë[¾/xBýU¨§ióf~ÛpÇËþµöÖYokôè< ­[Üh¸;ÍC†ñYÇÓòŒtÝ“ä¨|RÜ6ÕwØ?ó±»Z4îI^Sù*Þ뙈{°ù½_»¡Tœ þóäéþf§§q0ÕWêoè·MßtÿÎüã^Ï|ÈžÄÞ°žÙá4.¥þ)Äß&·ù1’ù†vÜèËÿËÝz$_º¾õ¿?¿ð?1®§ÿËMçú;¦S÷÷(>…ñ ñOñÙÔ$¾ ½ˆ·zæÉÿXüéµ~N Ïí\ºÃqjÏÃu9{Øø!}Áçé{NšwYü6; õ±ñ#¼÷6^ìõ;?³×t1µ»·ö°×S7”?áþÖŽpÇ'ÝzyußGò/¬÷Ñ¿{ÊiùZ¥§øÆm¯ßå×ú‘úWÉ_±$ϱóÏÿ€·öaÞÖúCrU¹åÿ™->LqblŸuœÎz@ˆ_jÁûb—šÜ–—ãá&”?Ëw$>µzGÃ8Oük=œ7ÃMi\6ù ÇC\´õÛÆŸä£óNæ÷¾6;órlž·º×„[„oÜw•Çôô¥ÿÐq¶8>´Û®Ä…{ßô'\ß®òâÿó¤zÆ©Ú¸}šï˜¡yL雇x©ÉeþAôˆJ—Þâ­Ïíõxÿ¶+ãDòc¿ˆnxnˆê£ž ã~ì·Œ_¨ïq~3ÅÝSý$þ³Õ³ñÛëûÚäþœsl|ÒüÕü{ÃÍë¹¾ígÚ:u8®q.çÄîýJo¯oº)Þ õ°–Ôߥ~;ÖSã÷ÇüÛÁþ.É¥øì¯þ_è˜\i<ŒoœŸ=”cˆSé¹âÖéóp|S|¨ò joë ·Éžc¨tjIýC­ßÚ§öPû±×£œ±ý–óšÎç…zç!fOi{Š‡ô»××o-X?õ÷oý¨ùu›7ƒŠ¾?!yX»?µï©]n íô¶«ß ˜Æƒ¿Æ•!ÎÇQ‹#éþp*?á ¯Zš\á:áº[/{)>©þ!õ‡C¼£8.¯”?•·8ñ¶ÿFõ]zyˆ‹ÇñÔô;µ“!>±’â¾ZŸ‡öAõ›|/éUyq\í ež›œ/þésSÜ•Æ5°+JWäGzi¾’Ò5»ÛëW:÷~ݯ$¿:͇,®Uû“÷äé;Ñ·ýõ‹?ÏÏC½ÇkŠã‚ãj±}µ—p½Võâ{£cùåÐo’¼V^û±½¾å¥~œëj§=¼Ç8k—ú´_ÎGk—êY¨çŠWÄïj<5 ñsœÿTº{=ËCã0Ü¿B9Ån_ËcùÑ^ßÏ;ÁN¬¾âý óþ[ÏöI,¤ù\˜—Ôkâ¯C¿ãòo†Ãj^ñ9÷…þ{¯‘¼Ojǡިʼ¶z¤W²~WéNq÷t‰o»vZŸ+0Jq˜öǾguƧ¬gU¹ðzØO¬g뺦/4/²¿Hô§çMPî?‘?µy·8|ïszï¤àºvßì‘æ ¾Kím¼ý°ÝëßP¯_ËW-?0`ý¶usñ#ÞÛ¸<”¯=7½1ûx›?†~wj¿UþZП˜žîõ]ßò®iÞ#ëóU~‡#/áá0¿Q¹Ó_Ûú¿qIñ{(GªwØ»oþòüÖïFÙ8¥ñÕä€ÿ«|é~Š ÞÆìo¸Õè ã¶õÈJã¿×ïü¦ñ;Å÷¤G‚ÛNŠÓx"q}ŒKmýàÚåú¾Þë›éKš¿¥ùªá»‚ç‰^“#Sæo¾´é鼿Ík,íõÜžâ§åS¿žæ1äoÂýr*†±~Ø&/Í­{ÈüQýÖ^ðÉ­Ÿ¾ÿ7ŒWýmüÍß_«×èÇÌš¾ÇŠÆ£tÜÓùHñ°ù­0¾ÔòÖŸ|(×—ßëp½‰JªßØ>ÕË©ÞLqÓÐ_¯÷ñ£ú»t|Âý£ê?îóôœNêïB;¾íl^Âøˆr¼ô»Åɽ~çKv çÒª<Úþðüq¯ë{<µ©ÝÞ²õ¦·qWÖ]âøKçXêï^¿Ò¥ëÆŸä§úzäƒñ6:¨O6Þµ¾éKù¢Æí×ìõÜÞÆÃæ…ø¿ôÏí¾åSÃõL¤+ë*M®©ý>‘yhüüö>Oã‘éÿËóÏt_+‹–7é¿ö¡ÝÞkÐ_k†»?Ùë‘N«/Ïo=¡gû 8N g÷¹}ÏüÈÆß&Åý²ÎÛi˜¿ØÿÁŒó^ë'ü¯Á­·Ëó"_¥×èž&¹‡þ¨ÞW\Fãž÷ ~R‰q íóÛþ¨ñ±þ‡xHý¥Ñ⇩ž§q’â5|?Ä?± .ªõÆôMolÞÉ q,•XÏ,Þ™^ .F;ótSœrù Pz6”g§qkŠëO[´xæ#©¾ª¾î±üDüºéÝŸæ%µ(ŽÿYûôßÊøŸ§óozÆÓÖŽô¼ÈòÛ8þSç¨ß9U¿N½tÿ‹ÚK±ûZ¿ÊÑä¶x'8Ç“ôìö^ïõÌÞ×o|ßÆ=‰c¯ã>ù8—çM&O˜PQ"8mœX}É«Õž„O«WõžÖm ÍS;ªôÈ>M_BÜ×äIñbˆT/özæ~Wé¥ë[P¿”kªŸ¦ÿå½ê&GšGË8Vz÷:<çØä±ñÝë¹½áuÊ·á=7*hïOER¼ØÚQû½žë å4ýV<0Œÿfí~Õ³áz;ú ›‹‡ÏÉÏõð^Wz'ßMå°ùÙëw¾6Ÿö÷:Ì_Ÿô|„àð*G“ËÆí-nLqÉ•âÑs‹+µ¼SD·É®—¾Î_Á¿Üú¦/ñ‘úµ—úeEé¦~âÐ[½¾ò™nâÁÛžü‡GŠs§ûÓ|Çì+Ä­êWaÜëuŒc%ßû{}Ó§<Åø‡ó‹tÉÏšžÏ)ÕëŠÓCý‰ýh¸_@ý1¹ês»¾¿ðý ªOòMýìÛx¡çŠ,®‡þ²ñý¿×!nj|Ì žmt†çÜn{â¿×s½'5ùˆï4O£þþñ¶·¸Æå4n™Ÿ±ï‰ìõLGò¾ñ|™ÜÃõz¿×^Ïõ)¾ØþÑ4?µ¸z†tê|…xÆæËøY!ýºÏ çÿ5ücyç^Ït꼞z/íkŒOäþ•“æ™pBºt.ßt6Ô·K×Æ!ÍÓˆ¿ÄQíþÛþ¤ãLþ1ÍsÒüc:Ÿ÷¦8ä±ñ ã^“¾cbëÉŵ©¿Ðø¦çsÒü¥®»“ýH¼»OÞäÙëëºÖ¿×¦‡•.ìèÞþƒ~79!.W¹k;¤óÖ.hÞÂvWžt=Âü–à¦Óù¶ñ¤}2ÐçZhœÚóª×ṌtÝC阴ÿËMý\(w-1~pï[¶v{EtcœÆéËg8¿(_•‡öÙ-®§ýMýàñÃ)>¿¯õ*úyú= ©ý™0¹ÒñÖkô)@»&gØn¼¾búÎÒÚ_ZÐÒ¸Ô÷È…?ÙÖOq\ª¿Ãó8Tp¼é»Ç„êÿˆ~hÿ §úKãº×#ŸÛŽä>íçи“¿‰ÛÑó4¯Iýºäµ]“#Ìëþ3?¿Ê‰rïõký*g÷Ó>µCÿâÿ›<éº+Ø-q| ãKóÿæÌÞÒýkó‡^ŠË?õÛý'Nñé{‘£ÃyC½½×v®ÁÆe8NM^ó¿æÂ<èÖ§sä{EòÛ8›Ÿ®ôš׬ŒÏm„qìm~Jtq<_ê¹ò!»Ÿî~IýÖÔغ„åû •¿Å•6¿‚ßÌŽãy øµË5Å-Ã-’Ïc¿„~ãG|Óõ½§¥ãløw¯ßùËu£¸ï^›_*ÿÇmùªÚý4^Á¼ãxÕÿGñû½®ô$ŽÝû²>zï§ß‰œÚî§û4ŽD×â…­‹“½íõ}]üM­g8ûMûD¢ªÇ·c;¡ßý-7¶OóÑô~½®ëïQA}·øD8ŒÚ“^[¼};>‚_¾ØŸâ"ó“{ýJ·Ñ{û¿S¿núžâÛ°ß(‡Ù«ð»í^ö§µ7gúó²ý­¶¯õ›{}]W:Ä/µ’+“)Œc{=ׇÿCVŸº·+?ŸÖ?ÃÉ©ž‚½5¾bG­ÞÐ^¿ÔÏI^ŸÆu”sh¯öwa?ð¹ŒÛm—ò§ñ—sÈÇè‰ÞÞúÃùÕ8HrÚÿ]Z¿öú]þðü É[ï·z†“ê8Ò:`ϧãü/TùˆO½ßú5]å¬û/çÔn{Z—;¶¸Ýè‡ñ×Æ­µ“ñ¡ö±Þ˜þÕõƒ4ž§þq7j±÷p-^§ãsùÝi\•ëÛÞô8]/4ÿhz²×³¼Ó}Ÿ·¸øð·þ|‚·Û}ˆgÈ'õ{S¼TÆŸÊT/±=ù#:Ÿ‘úói\€øLòÚïm—®o›ÿ¢õ×0.ÒóÆ_p#ÊžIßSÜjñØü9ð¥búÜê‡öØÚÑy˜GOÏüCùö#´¯´¤ñºòQΓÆÍÔ^B? y›ŒæGä·I†û°ªw‚‡Sûm÷åüØŸÏÍ„yå­_Ço¯GùS{D?hú:ÕoاmòÒ¼†ö óœâ0žTùïõKyU?(OÛkÔ¤Oò¥ý ã§âjÃ?{ý*_å‹×f7C|gù É×Ö…m>¦ãmþÿ¥ÝÝöa^@õ›é9I¯ë$¿à¸&÷ŸÄóxØèY±<ÐÚ¥ôÓòÇý•¾ú·Ôþ-êÒ!¿<ÄÅ©Ÿ¶çæS?lû\÷þtÝÈðåIéú+áÞ!ŽjýÚá8„ùÒŸâ¸To$ŸV{MéÒ:ø[¤“ÆU‹WB¯ÖküB<‡x2Ÿ!Π¢q=Å ô]²ÿ—ö‰òÊy<ÝšÚi'o7º¡~RÑx0<×ÜÚ“^—ïËTyp<öz®æGµÜzô݉?·žéSx.rŠ[⸎s}^ù“¤âèÆŸ®-ŽÉ|×vN¥7Õ/Ó;É—cyÉŸÙøìõHé†ñ¥ñ ñÛô÷ò¡¼CòðØ¿Oç±þîõ,Ÿù‹—öÛä®íí|–ù+j'ç îýp=¬–Øü1~¿Öë!ΉóŽaü{ëç¨^«o8"ǯîõk=—ô¼ïKœ”ò¡òzþ‡ç¼ÉoŒq&ù˳B¿ |Rÿ2ʼn©B~Úäʵ×÷u˜7¾Ó8añEÎhÞQûžIñ×½Oþ/=ßnþÒü!á£?múŒò¤óŸÒÜÚè˼ Ãþó’”N*OèŸãøžâkÁ]é8R}ÔËò½Q¢«øü¢]ë<‘¿5=6º{ý.Ÿáº!®©…ô¨¶W¿=µ#ó«/ù`ÿ¦öêš÷*žOýð0ÛÿÇ8h^ßÄ^Z»4>Ò8ïõ]oŠ»ÿh8¶?ŒëtßÖ__ïó×yLÏa Ç÷ÒIó彞Ÿ‡öSÛ!Tø¢õR?,íj‰õ/\7ÓçSy†ùÒý¨íãóºÃ8ÑÚÛ8„ùTL/oªo8½Ö›êåßR™â•Ûn¯gzå¾ÅYÅ©Ù¹F‹;©Ÿ­ç+¦óCõÒóœoõCðe-Wîõ^¿Ë‘þ†ù—åcMþ—þðÞ§ö¶¾I×&·áhÜÆñ€pŠé¯ý™ð­EŸ§ù”á9³ŸtLïD¿Tî¯Þû{}ñÁþ¤ó/ñ¸ÑŸâçÔŸ§ãã1-Šï‡y¤Ò}‰WøņÇáb질¯­ïY¿Ä·úa¾A%Ö×0Ž]¬?ŒÃ$w¥_‹S‡ 'ŸZ¯gþ©þ ý¤É3æSëíõü\ò‹wÍþèü¿åµ!î­EåÝ빞ÅO SùT9^ãØ#'øŸÊ—â»_ŒsÒ<¢ŽC¨OÓkõÿ/ë)Óÿá¾á½Ní.̃o;Ñcª×î^ýšœ·½~•ï¶O÷ÇÓ¸ŽïmgôÂsTù|©þü?¯MoI.£7ö# )ßZö•ÌQQ|Hz þ$nqåMíÁø ®Âõ/ïCýœÆKÏâ͇äÉi~Wå¸×âWSÕè™]Lq á¾0^ýÓþÇKüjšwÞúæ—«=š?7~¡_Ò|7õ+Ã|û›êÓTÿ Ÿ‡ã`þåÞ·ýS›¿½éÄíMîC_ìüÖ½¨|é~ê7c} ×c9ež­¾Žûÿø¯ïç¤o{=òW9Ì.è½^æq©Å Tôüà@/¤—žÛ"? çN¿i~0µ_ó¤é¾ê[¿7ô»­]ù™ZÆ8ÖI w¦ú5=W°×£Ü)®½tR¼4ÄÉéó*‡][?¨þ½/xLý†Ù]ŠGˆ/åã–ç^Iý›ØK»ÿ6 ó'«_ŸßkÙºõR{“ý¨Tª¼é9Õó;濆øƒäŠõ-µ»T¯ÍÂs;Ž|7ªÉÿWf§©½ïõk=¤ÿß¡Þ˸ÇÉ#ïùŽ£Ø ìÿ‘#ôçõ>ŽcŠ'$ÞëøOñ Œê™Ä™ÛÞòmYÇ«×jO{}_§xZü$•Ô¾ë}£g|^ã¼—ãÐÚ‡yÍ4?Ÿæ}j/!ŸÔ¯¨<ò[K̺ÿÆäGz2Ì¿¬Ò{»ßOzaç lÜ!O›éÓY÷•8`xKñ)àƒ*WšWLϧŒãŸ?2ý"~C;ã3óGö ü¦×¯ý²µ£÷?8ê^‡û,è§lßÏòÙt=f:ÞiiñÈìØòÃi¾Fó*óÔèn¬òÙú’ùß½~o7ÄA1^Hãù)x_å{+OŠ×ö·<ãü@ò‘{Mq8Äoc??‡’+?ZG6½šž_µ|nÚï0Ï´÷(éÜ3•Ø¿¥ø%­/¸‰Ö?LÎÚ/ÍÓ­¿).‘x×øš?õÍü—¶·y :ò½ ”#Å™)Î3\'zEr¶ç0oF'µ¢ëg‡Ì/…z’êeìGÂó—•~ã—ƱÐO]ú¡ÿ«Eý`ÊgªWoçåe¿ãñ•úUÎ&ÿPŸb|’â!µk8î^‡ó_‹ö_üzZ¯ÝõÓüV«'ë@æ'½·z/öÓèMýPº¯â*åyCÜŸ*ŸÈQûÑè‡çùèþØ/MñßÔ¦¸aºïƽ֟oÜç/õôBçåüH~\OóŒtœS»@>S\'þ®ò×qJû¹×¯|ÿŒHÒóÐp®çë¥\—ÍÇi·¿é=<·8ÒÚÃÿW˜ýýŸÂO©ü¯=\Kíj=´¿·ý;º×2ϵ>ñb<þ gÊ÷¯q­ñ­¿ÃøÕäΟåwq$RýÖêgR¾áyÇÛ.´?|.qëïõxŸÚ«¼/íEÛ§yEø{é]Á•i?*?Õ«·×w½tÞÒõÓÐ/ßú–¯"¼óÇID\ 烚\é¯áHós„Û /›þ›þQ¿÷z|Nò™ÜŠOCÜÚ™^½äWeÞ¤zDý óTÝ¿3}…ïÕët~š|¡~X»VOâe“OÆ¿ÙC9«8ÆÍJœ_×<%Åoã¥ÙGèç 'ÅûI²‡ã·×3½ÇÖ_8gÔä'9Ós”5žÒwC/¨ž‡¸nŒ#Âû—Óõ^ÑÓZèüGk/õ]‰óJ_ÆUé…~ õφ¿ˆ¿Ú¿à³XŸ¦þÓòOY7 ¾ê_†çŽÄO”3õ×!îhôi½!ôw©üUÕCóC"_¥‹|RêÛ½pH˜ÆñÅpX:æ_R¿aói8â⣟ÇçµÄü^ÚG¬oS<Ò7=£~É<_~C\¯í†8áõ<”÷«›\õƒS¿!ý§bçY+¯†¿R±×HŽÖü`Znÿ>rTúMúžÅuÃ6^á|›žMç5¦“â›4ž…vßä”}Œêþè_ÜkÉËR\K%ŵ¾úÓiÜý+ž˜Æ‰!?Å·¶Hõ$ïÓøâ}ìWº>lñjšZÂ<ªÊy¯mÝð¥ÞÅý´¸œæaüžŽ3ѹ÷‡ûÛÔ?¬îŸÜöiÞêG¥‹ú3Õ“½~åÿ6þ‘\í>ñ¥}{j÷G;$¼Öä.øÈø[Qœ øel—{}µ«t5~ ãwŠ{Zýiž-¸¤[g¬tÐn†ýhÏÁ¿Ôz$O»ŸâðiÜ ç=ŽK&Å£½~ï‡à VïÐûã8Ýç Ÿá(ÕƒÖòºþ_×%†ø ÉAqu¯ÿNÏ×Mñ[ˆ—ToSýy>Îôýù½TŸÈ¾öznoþ#ÍKÄîïýp%Ö_ã¿×¿žJ¬a‹çŸüS]ç!\cãP÷3F×äüûÇ!oõÞÚÉÔŸT<²×w½p0ÅŸ©\Ø~Š†xRßoOí'ì_ûÎè©ëYJßú®ßß&ù¿)Î:¿vj'¨ÿäçÒñMý¼ð£zÍN÷ú÷/¼ÿ®~ÁÖq_æ]J?ÄuMn›Ç)~ yì|޵˟ÇöX?”3õ'T4?HÏóÚ:Å[œ™â®·vSç'µßPÏ­¤~Ÿïõk}ô—Õ/¾¬÷½P‹Gí¾œÛê}ŠãZ;ós©ž¿õ;d—Ò¾Ý7Üaã`þîñ!µ×˜í†~4>Of8iºÿiãF~ú!~¦µOýá®P?qœöz¬wÛŸçæߦãGzTå¡÷MÿÌÌNlÞ°þЯªTœ™žC¼|ì7S¼mãó2?m÷iØë—Ù[Š«‡¤òÅ|Ïýs^Øòà¡~£Ü’gSý&·ÈÕøõÛOÇ_ð`êwÕßLóê꧇çïõiŸú3‹;–Ï~ªrØ|Qü!9Æ~‚äK÷Ý^âúZT>â7´Û†[S; õ@õ#ô¿Më×^Ï÷ ß„ùzì‡~ûCï¯]¿ê÷þç‡þ^ÿþ…uó:C¿]é4º)®²ëð\¨ÚgŠsB@t¦q>¥§ò‘=¾[Q¼`ù·í ¤þÜÆ«êÇ^Y;×V/Ä©Süßè›_’ñÂú7~üüû×Ö¹ÌÿïõÝÞÖñh<Êÿïjû—çÖþ¼?®ÓUþ÷ºŒ;ÖúK³kÅ=²/jöƒò‘^šÝõ(¦—Öýmëg[;ÓcÁq;±³¿Êyï§çÂ÷ú•OÌïÙ¹oÓûê7$_hí ïÞ í»ò£ûf?Ø.<'øg}0»Þë‘“ÇòP³ï0/C¾iܦ¸i~)ÌG.ÿ½žåyëiý%Åë‡C|X â‘¡Ÿ¼×fé<§ù+Í/Í3ÿ1ýž®;ìõ|ßüÖõ›ë±¾âX£+~ å|QÏyš\¯ä½¢×øU>{ýJç^û§ý ý‘ú=ø^ÚYºß–âAiùŠ¿ÅùJócÁ›('íc^œû Ã!ζßF?ÌWb}$;­¸™üÉ!vOôh½7ÝÇTÿ˜ÎÓ^ÏòQ¿Ã÷H®Ö.œçû\Î:î_¿Ê«öBßµqfª?ªG°ž3ÆåÔ®êç^_ϯaœ¼õÊß Ÿqþëù;Ñc¢ã>ó[Óñ­õ‹_»÷§q5Œ/µ \{èNdzµÆ·Zô9o+5^§¸`x.Jq‘ù‡ÿå'û6ÓøˆøÕðòK\×ê ×s,>*ß4o²q;®òê<’¾†û=nèïˆÏ¥7£{}·/×÷¾åIæ'Ãø=•¿µKõØâŽåm¦—"Ç•'ŒËÚoÚÿ}oò„ÏQC¿uï§û/t¯LÎtžS%ñ9ÆG©¡œ—î[½ ñZëÇ/þÇ¥~ÃJœ×u[‹·`·ìG!ç½{}_‡ç/³wèO“£àz|žâ3’ƒ¾wú­q»:ÎÖžp}Y'¸õÉn‡~±Ñ\PëÙõÿ1ÿÿÒn¨h^&~9Ž«2_ªâï±_"ó ·Þ0~ŽÏ³Õß½žï *o“ëŽg1ô\Õ³u‚½¾ï¿Äƒ­?æϧñÔücª÷¦ýŽñfˆÇj{+±4þÍ —Ööçœ5È7µËO <æÏÁÞŒ>Ê»×ó}ógð>±œ§Ú¯P.¢üm¼Â}òF×æuº&q¬Éâ¥T¾ZTNûî¿ø3Ä-v€üBº^Iû¯†hmž§q·Ð­%ãv¦O4>{ýZ_σÐø‡þ¼Éîë§õ©¤v‡üS»Æ?£“ÊOzÇë½~žâ©·z[ùOqàñš®Ë ûç/Ï¥Åþîíý½žùÔûÓ¼ëe¼ûÿi½”¯ÑãKL'Ùá^ßZ°_é:.Ý/ò¨^.úû{?‹â_¨¾¸Ï÷znWî«>Ûú®Å ²‡tFÎÖ2Å5Ô®Þ¯òásÃ/í‚Šúó!îSúµ{=ÊOtîõË}¶o«a{äoãE~Rè›ãÆçMó…b—ø<Å/áþÏtTž²Žj%=/«ýÙÏ|Çß«5{0â/ʼnÄg¯ç•®ø_•{ˆgÿJ7ŒcišþMÏ™Ë}ìOŠ‡Ó|!Å—C»UÜAö[ç‡üïtÃë1³£4ž’Ÿ‘yntÓ¸¶×ùÞëùù¹Oú&öÞä±ç†› GLí+Ç/ó1{±s'Ôn¯g:)¿0N©^. þ¤óÑèXœ¬ý óÉÆÇô`¯çû©_NãÍ×ÛótfïB÷Ò½½×ÔoyEõ/ô)þé¤çÂõÔ{ ûÞ­W}Bþ©ñK“Ûæí-þ«ñHìäÁ|4”OõÍpŽá‚Ô®Þâ€oÅç;HÞ½¾è4¹BÿÝê×zo¿¿ÆG”{è·¨¸ïòG¹B\B×H7õ;/9·¢xc8nŠoB;Óû•þ§Ø¹-ü^´É%z—æ…ê§û8à'ïs›;×8ÅI{}ÝorZ|±x`óDãTäÒøcòOñ9ë?umø"Í›†ë÷¹|wàò ×5îýÏ¥ög~“ôÛâ6ÈÕê‹_ bç*ŸÆwˆÑÞ ç›Z~ ùï­?Å£á8_úUnyßûizAïï§þ.Ä)SüÓ꽜÷©?ã´ð¼à½ŸÚµù?ó7éºÓÐ/˜~+ýT/iÞÏyôš_Ê>€ÊõR^Û²OÑä²y•x[å0}M÷uÕ›Þ .¡ûc?“âßÈ.ì\É‹üÒvi|ÿ×äÿtëÿßù˜ ×C°¾¼ç;ֳЯ¦ò×vÓùF?ŽóýÝëw>õÿ¥(Þ¤ú#~¢ÏG¾Ö~øKüïý0žQѼCìÄðg,Ç^rã™ãߎ©Eç)Åá„þ¡s³íù^tÆûf¿Ãs|ã}Š½žÛ¥ù¯øc’åOçIôèµö¡ŸˆûM|,ž§x'Œ—Úo±ÇVßüYêÃùÛ©ù‡—y”É?žYŒÇyj§oû+8¬µ¦ÑMãqhÿéú=ÉCr½î¨ßV g#Ž ë½éãÄÐÏ¢üUžé¹Èp|ýŸ¾Îê÷‚$ÞÕz(Oj/bÇí¾õËâwÍSÃÿ'jr}¿ý­ó·‹œ¦§ðq­^:¡~Åv?ÄQµLó ò/TR½JãZ»/ëw·þ^Ï÷ §˜¿MýgŠGmÁø‘}‡q«ÉGÿ‹ùáv÷C»¢zêG©ý^ÿþ}{®€ì&<¢ø×¾_Ú—à‰ÖŽüa¥·×÷óð\òëë:®i¼Oó ‰ïØŸToÒ¼&ÄùU>õ€¬¼µ{œ§4.Ò}¯Ôÿˆ]¨ÞX°×¿ž êìÅrTz…ŒWä;ºiþcyPëßGÞ1Î ý·úãÿè| íXõ Å©=Ò8„þ"Γ$?«ô ·(_ZǬó{öé-^LÇ7ï4.Lq˜áŠŸ/õý>ÿ‡õ¿ñ7\U¯®=ó\¿§.í+ß*gŠÇ,5º¶¾ ñÅæ¥Ñ9í Ççï¯ç¨¾åM­Ý4~Ëù—”>Ê?´ºý6ÿóW½¼¨ßÝúXÏú+ã£þüàó[Ïν½Ô»ØC\ŽýâÊúºÉ•¶¯ãߥI æ­%ž ¼ wõÚæEå4üWÆëNIõxê'R|Eã·×W½F÷qè^>à?Ý0R\Ú¥Ícº¾“âó_vžoxÞ·µƒ<åzµLñšâ¥¡vÞ¥ò½× ?MNË÷l>Ò8•ÆñϪ!n‰çs¯_å2<‚øÔì'‡ägÏý#¿Õ³ßpÜRÿBe:ÿ1® ÇWù ]«Wûõ‡8¨ÒitEc½Ûë™.ý¿¨Œó­úUªïÓ~ÉÊ•âiœ õà>·uÌ)ÞÜ+jòQû‹3žù‹ÞÞûáþnkÎËô¾ñ¡çÿÔµñOýÈmO8Íü—íC”óF±ÿKí/Åa$›ì¿¢\ÿйG¤?Äãø)ã÷K}LíKçYì¾µ³øHã³×sýjŸzÈ?ôãñ8†ç?Ús)®JñÅËóTö¼Þ¯å­¾«ü)^ÿ#.h÷e~ó+CüŠýHñ9èÑmò¦ë«Cü×âêÖ/›ßS/üßÏZbýKã°Ì3µkr…çQ¬†“ïýT_ÆɱœÃùk÷ ߥú-ã2¦GýMãGºždõÂyEùþ*ÿÛñÊ—Æ…û<Ïâ÷)Æø3#¡ŽÛÓº´Å½tÞBÜ“ú£ZR»hr‹Žé[|5œNöq¼Êiö†r~ õ±É³×3ŸúþÀ·â|é5ö—ìâ¥ÞÆëÇæ7eýºõCÆ×ê+nIãŽä .Ñy‹3C¢ñiú›ž }éwñ¹ù©z¯çzéùñºî<µ‡4Ž‰ÖvVTöz”«µÆÁÛÞæýðýW¬OD/ĵLùNýÕ§k+*GˆG¬}Ê_õÅê.1{›ê9ù!ñoTìü3¶KñU·í܆âßØ_„ùÛÔn®ˆˆí]è79 ¥¿¯RÿÖ Ïóé<Þâî&OZ_üO­—^7úæ o˜=˜¿0<™âßô¼²éñPÿkA|qÛ›}š¼6ž6ï4_)^5™Ž'Í»cq¼õ%MéâúÿTÏB|Óä ×eS\˜ŽÇ½¶ýx7ÃÝáøVùR{Ç~0ü˜ÆÏj7àߪ\(w8NT¦¸¨µ³¸jóµWÄŸ ίØÉ­g~ƧÑÙ+“KäT?0µ¿ÐOÕ¯G¦¸Mò™{mxÙô¯gþShö|øÀw4R»@ÿ7´KÄIi¥þ‡þd<Žr}éRÜþ4ùB}¬tWJVù‘ŸG9ÈnRûâ¦Ô_Öë4N[±< Õ'½{‰#îuxî$µÇÚ>ÆEµþ^ÿú­ Þ¤uϷ细ñÚ#î±u¬g¦ö{éqC“æq|~eè_Ÿ4n¿ô •_»Ov»×¯Ï~š7Ñ>È?Oõ3üUú´¿Dë äÏõÁ1{ý*ÇT_â|ÈüwÊÏô…üD´Þ^ß×é97ñïS?”æ»DoZÿ¤ãk8륟Šq½äy$ï½ÿßå¾à´)¾Tú¡+ÇT__ú…ZâsBŸúAr¤ãÖä ý*ó÷1NLϧì=GyÎsˆ3µh|Mñ.áÃ}4ŸÓõÓ)Üë‹ÑmíS½Nñ àÞZ°Ÿö?aþˆó)ë9*_ŠÌNÓ}Žj©Ÿ²ù5½˜úÙo!‰[Úïpœ›å¼WåßîÛü?‡½¾žc<·øaëšÃxZ‹ö‡òiɳÓ<(þzè4Oñc“sØžì±ÉIóÆéïÈ< \ÿ4N¤yÙëù¾õßüVŠ3§ôR<ñ6þƒ¿Àú©ÛüÒû¶oçûío“)ý¡ÝŽ0¼Rï×¢óÆk¤—Ž»‡­‹ ñF{Nxj¯ïûçâ%Ñ#9Çþ‹üÂËóí¹å%Ôßc¦8Õð¿Çÿ¥þSæ[ñt8ÿÓ’Æ‹˜øƒÆ/ÔcågöÆ1”7ÅâoQ/öÉ…~+Å•Uí¼?éù7ð‡îi7Œç­Ù¥ø•Ö¾Žw}Eü[£—Ž—éWÇM?|±>É}ämþî‡ñùR»#Gê_eün;¡‡×yZ?^âÇ*O“Ïðü[:Ä(—ùyˆµ~-oÇñ¶7=1?góõr¼[ûÐ`¿†òŸé}“£–±›}†8_ç‘ôÖâ2Í£œ‹­%wó§©[| qfj×c¼þ6úàw°^‰wµØ¸ ]óƒ´ÇÚ®É]éPÜ–xoEõÐòi¼’x{åùãx-té}ìקý–u3*8?²G¸¾ÕŸÎ§õ·¬¿ÖŸÔOýÓqÑâÙKÿÑä&œ„㸾ähô¦û½´NOz1\gº×°¿Zë«ÞÛS¾˜Î?Ñ÷ù‡qù…ã?¶Ë·|LÞâLÓßáøa»½^Ñiôo ½ÊÏÖ‡iŸ8—6v®%Äq&W£k81\Oµ‚ãÑÖÍÖ¯òÝû"oÌÿ¯ñõ%®6ovRûEã˜úûzë éß‘—ü±í/Ø8‘ž”ýH”WžS!êÏ­/q é’¥ñËpyoú?Á§59,o”|Ãê!?‹‡¦ïaœÇvÆ7ÍR\dùQªŸCüQÛ?‡'íõȯÉ'úŠü}o;‡6µ?Ã+6ÿvþKì Û™ü¢¿ÄçÁÎÁ9¼t+½&ɽ×÷õÛïmÑ~™­ó¥ã+ø½–4na»PnÄg4ßSk~ñüÖïqþ1žÊ7Æ "ç­oþ(ì§Æ·ö%ô´^Ú¾Úß^r[Öq‘ý·´˜¿¸õHÀÉ­äu·^]dž8×è ~Ž×© ¾Oû©ûÆ$÷K½£8xë>7œq­ÑMñÑ•¸yùY|Ýëù¹}¯”øQ¾lï…~™?–ü ÊKò7~{ýÎçeüªõÐÞ% ÓSñ‹­ÍÙÅ[ý ñgkGú¶×óý«ßßωŸg«þýßµŸGúŠ¯%. ¦_ó‹CœžêgJ§–î·Öï×4SœÒiý ù«õÃxLÅäG¹¤~…øNãg£?ÜçÏŠ¾£œ`GM³{®w£Ü¦O‚‹/@ܼôÿw¹žú ù%ºé¹*”¤zƒÿoOó+¸ö^ƒ¾XIñKª?Óù!>šOìõuÝèœç„ŸS;–öS½½ÏÃuóZÆù‡à¹Fô°ÒmõÅß4>SYâw£cyÓ0ϺôÓ8`¸µá»ï~ÝÖ>õ路SÜJvö—ä‰ù¥¸9ÌS=£ûi\oüÂùHqAãæ‹M.ÃbO—^¨Ÿ1î¯û±‚/ÒñÂv©¼¤‡ô›úgÓs¸®ã¥ÍoÍ‹dWÇ'çi¼ý¬ó_¹d|4ŽšŸ9¿å½½:Žæÿ÷ú]þ0ß1¡õ¬ÿ¢V¦û_­}¨_T¿òë)Ùí^¿ËwôEük“/Œ›Tâ¼Âpá*£â—vŸÖ»öz”ۊŃj>^Ç Ââ·›)®šög8Ï7R{#þ¶âI‹¿Óø–â Ó’ßð6Í“Ì‹Ö3ü'ÿÿfx¾ö³’å}kôÅÞ‰ÖKñä-c¹÷ú¦cv”âª0hò€ÝÞzÐßZTï`|§ícP×™R\ÚOèOt]?œ—ÖÎìËðdºŸmx4Œ¿ú?iæeþ[;Éêý{î["ÿ½žù[^gxxŠ‡L?œ”'X{»âêç½úמ›Úë›ÿ¹¦q§sÖÓ¸•Î·ÞŸæOSùB?Ê9õãT §ŒýÅ0Nµö¡=ß{?]‡y&ú8^ÏÀoåØ…Oˆk¨¤zÖêC|Nõ[åI× C}h|L?^Ú•âˆ!n²ç†Gþ|,½oøÌöq%ž¥r6;Iã‰äÝ­]šwH©ý@ù¦ógòØëw~!=¤›úe[/JóÒéü¦ójúhãÆIË‹ôþt_ŒÆ?ÄÕôùݽ2yÍNÌÒ< ýSŠgZ;Ãÿ©ýζ¼“ÆMârëOˆ+êóvßÎkš÷_t>¨_{=·â ´ç”õgºŸi¸4Ô3â×è˜ßšæÍá¸^úézÐçÅx1Í‹¬_6orNÄòÞ×ãÚÕ”Þ•Óô+õÇæ§~Óú“âôé¸Wz’Ôbvlå?ùïϳ<¢ÿÄýY—Bý1}RùlžÉÓ|‰¾Õ2Ž©ýïõ,oê'SòÒoÔ2Å©49ëºPϺ>ÊŸŽë}>]/6½Mãë4êQ“—æ-ý_é¡>a;‹¯òϘ^šO¾ºõ_®!¿)îÙëû7Œ×/P.óæ—^â+Å ác%ÆmæçÃó–÷þ?´îG÷5®½Ì§P®š¾ŒcÄg:­ñýÈÛúñÒO«MíÃòÏ@œÚÛâÉÏc{êÊ•ÎgŠÂñýbÅ1õ>áïÐÞ_ç•S<$òÞëô\ àöZPþ½žë ÷ÑÒ~Ûó×ùdZŸÚ¿Õk:—d¿§¾à±SÞÆ1=×8õ¯/ñ{“Ïpç.Ï%¾ë¼šNõ4\¯Ÿç2û®Ú§H™ú½©Ø9šÐÅõS|dóúU*jö~ÐÐ_ÄvK~8<fþÍø4¾doô¿‰¦¿i?…þU¯eÿ†ôŒÊÏŠ*Ñ×T>â¯öÆwÓKëäÇë}ªoç§*ß½¾î·þM÷ûÓ8mxUüwª_Hä¯Åü¬ÆK™·F'Œ›M>˜ï[oê‡/¨þÊx_¹Rœ)ú|ÛMãSŠ“ >ýÆï¥_K‰®Öâ›ûüåû~ïß—v‹ôè|ÅËqîxäç›O¨ïôœü¢Æe›c:bq>Zé–ï Þûi´øSð[­GׯýÖ~§ëø!~»~?·óºF·æ©æ'†yj{ƉÿàÅŸ_ùëx‘>¦öžãjtL?¦çÍÍ„¸ñÒÝ+«—ú§·ù“éuWjëÿùãyÞÏ}k‡r§~êð·|Èâù+X÷·ù¥¢ñ þ/Å‹½¾ï ¾2œdr¶ç$·ø×–§vÿÐz]­?w1~¿Õä½Õþ~½õl_Gæ¿ÒÁç–wŸßú=\±âŸ²üÀô"ÄWHúÚq}~¯ë<¾Í#†ùT-c<—ŽÈ©ü‰Ï^ÿT ?ˆNñ×¥GÿAöëÀ­Þ^÷Ó/;WRëÙ¾²¬ûÞû/þ¯ýëÿýÐïümøÎÖçk=º_ÛWþ¡þÞ~W½>¿ÔÂåµõì‚æSÎÔþ´þU¹lÜ̯~‚ |ô^Uíéì£"¿S¯â+™ŸJçßô÷üÚÿcÓçü8Ù%ÍWŠŸþÇ=ߟò+úuÛ¥ñšæÇpù^ÏòlãÔ'½¢y…ÿÝE\ ùªÆ…ª'ägÒ÷÷ÓýQʃáÿܱÿÍï®o9ȾŽR\¢q!ýªüöz¦WÇ÷üRÜ;ϧøüü•ãìz¾O8NüUã—®¦taÜQ^’ûÌ3É'yŠ¾ßJë`õŒOÕ‹pŸ é§üª}ø_ºSœæ¾ä3f/·]­_ã繟Žø½÷ŒÎ§Þ•³ø9\'%=0ýKñ áúßðºáµ*¿õÏâ\ŠOmþ¨?5¾¤þ—øRÞE펕øûÎ+îCµþ~×£¢~p^£³×³¼dÿ6¯¯›¼†GÓ|?Õ;ÒCä/‚Knª:íIž–'ýüû÷ä äï%¯Æ~§óš~¿‚üò^¿×§8^ñBé?õóÞ§þÖûöÿi¾Yž7ù꼆ñãÒÙë×çȯ®Ë¾³¼ë‘ÿ­_qaår·ñ0|Yå¨ùõ3_ÒØ'Ñ<¥Ê+ëHTâ}÷·ù¶á¯é/ÚÙÏc½&oÕƒêÿÒu'³wòמ›ÿ£_Âc²Ž’þÏ¥â,‹Ó¡ßçÃ)ùÞ'œQ×)U9¡?—nå_Ú×¢yä¹ÿÇï`Õû­>»œH~‚Úkæ¥u|aîÖ·|Šæ7ô㵓ßSü­¿RžTõÌú]éÛ:ŽŒw“ÓpT:/ägl}XüέèѼ§z”ânÒƒ4O¡ù¶y»líHŽs¿ìg =Ã:/ò£ù>tÎõù5\@ûüµÞþ®×ú_׋Ì€¯×èOa¾Zû4>“~Ô~™<†KHl}¡ÆïÏPܶõi‹÷)Þ#>”·§ùð©EíÜô"ô·—_‘Wý áwÃyaþv陾“Üà—n»J符ñ‚øRÿÓq q!ñ«ýSû$¿M~…ü?Ñ«þÝâ*õ7]G,ô®‚ÿÛ}óƒ`µ˜~ßzµÓÿñ%û0où¿Ìû¥SÏ/.n|+}:ûi_óŒFïÔ#ÿgv†¸àç÷z©Ž¦x óQËëøkñŽðw›|uv¡[ütÛ¤~Þ©üâxKqíÐz—¯å_¶Þ/ëúJ÷ÈIþÙpR±‡K¿^“}Ñzöô».-úù¾&}MñvšÏ†qüò';³y¶up“/ÅU®:¯äÿk<#ÜúIûnÇ^ÏòBû*?îÔüØð/ñ©t~þ¯ÿú®gòÒ|×q€ß[ŸÚ“†öä·ŸV}\ãZ%ý CöXç¿Êwè$û«òI¼U»•÷Üïõ†z†ÿ,”8?_M®i¾J¸Œìžðç©ý¹tÓü-;’'!_ŸÛNüʽÞë¹_d§4Þ‚OîýŠÌïI?]š‡JOÆýÒM×uÌÈúÓ¥kþÄðSº¿`8xŠ#ªýC®EÛ ^ktª~ÎøÈséâ6½¯Œúqëÿ”~ü|׳q¯ò¤õ†ë­FoºNI|-ï1¼_å«r›~žúÕÿÀ:FŒ¯ÉÿÕó¬D7âèÒºÙÐ#yï}Ë;Mï¨ÿ6¾©à¿o;òÓi~Jþžò7É;›\’¶û4¾2ÿ÷~‘ŸüÙ­Oy á@[6vä3û0?jøŒp½CýüÈ{éˆ<·Åq°Çê×þC§\C~T â=ÁáˆËÍ4»¬ùœŸ¨õ=ÕÓSÊóOœv„Wê9xêï.×$Ÿ¼÷qÛ[ü ¿vèÖúo× =[/²}ñú^ ­[šÿ¯x%mWç«à‘ZbÜ^ñÍ^_í½Ôÿ¤ø„æÿØg‘«?{~ø¾ªû¥ý•‡ö'h=¯þùAŠ3‡OíGÕS‹‡ç>é äû6N(ŠgOþ%ëÒjW†+Ãø6þµ_æþj?†gŽ<´ž)yÙíŸáŠ|žúY²SÃVÏü½7VåLñN*­gñ?«¤×„)_’úšgÓ¸Ô_˛ȿÙ:YÕ/ÒÇ#í;ƒÝ\~†í»'fïUNX¥ãó'€ûŒŽÊAúŽ{Ã5é~²­·o #û ê§RÜš®7”ö•ï½–¸SëÕ¢~žp.ÙõŸp"åôޚʼnwñ{')~Jñ—ígRHíØð‡å_†[Nýƒ;Žüfçu¾ëw *~¦÷oAžZjï}¯ö¼éáGžr®ñµyµ¼mŠÍÃ{í9ñµÿï3?Æ¿[¿ÎÇ^ýP}µýÂk©þ“ÝØwD->*%?óvgš·¤ùK7…ëåiþhþìùÊ#¸Ï}î×~Uºõ¹ê«ù{[Ç•þVùÚù 㶳ñ¡vµ^ˆÃo{ÒZ%¿rêÙ÷R,>¦~•pÉp}çÒKqpê C¾|ézÿzêÿëó½åi8àÔ#ýõàFâ+õ›â/éCéÚu˜güy½ ÔÇG ÿÿë¥ù‚á–½þõ[±÷èZ}‰··žå)¹þ§ul›ÿCOp•î×VœBë¯6N’7c?š®rýó»ÜæSJãЫrÜk¢o~×ò^{ÿsÇ©ž®‡UUñóñý•‹âÄ¿ÖÎâÅù*—­ßŽ¬~HðC•÷^ý%æ;ç×pSé×åGø;µcš·ð¼y£gñq¯Çç˜w¥xþíÿ8Tyêy8véÙÿ`~ùó+]*š§Ñzö^ÏòÔ8IôN{ŠKçyýÎàÝz­ó¾Ÿp¯Ãõ{”£ÆE ä/§ß¡!Eçl >Áþ¼ÍÓd=¹Ý‡<£¶kë:0ß®áÂ?üTñ?Øu“·ÆcûÎà²Z4OµxKx’þ¿,´#ôoæWÔ‚ù¦é9áM²þ‡ý9õ`ø¶+ôP~À÷—G•+|ï¹µ/óyŸ›ÝÎnr^\vŸ~5ŽÚ÷9 Ÿ§ßwmùÓ7Ÿ[ÏÖùi|軿´îj¸°®ïoúš‡þ†q¸|,îX>]¯«Ü4®ÖyWå'9 n¸tjý†3>Ïé½2Â×$ù?ø_"ÍÓy3{Nç™üÒ^¿ÊqëÕïWK>‡r~€[{Z_°üóÅõ|?ÅutÞÙìgó½ý3=€ü³¶oôl}¶úÑ#ß.÷S}­ùžÍWª÷„KŽœ4ä7i^ì=C[‡³x–ê×ù•ïùÅ~Üð8áê7}×Ýô‹Æßü+éqµÃ½¾ûaþ—òÌz½¡ægLïí9]Ûz5Õç³âk‰õ}¯ßù ûIzƒòY¼ú}‰§?Ù£Í#­Ÿ˜¼{=Ëë©THïó)¡üËÞ®|`?µî34¾°Ÿ¯~<;?“¿$?W×Aàôýýô·Œû§|/ë^“7¼V׃SÿßÆ¥ÈÆ9õ·çµç¦G.Û+ëX§´kÃaö?íS?ê»áp;ÏDöL¿G^ðƒ¨?é¾3ðÁsⶎrÝúðþô}.yJ-?l?rËõ-þšUz‚Sâ÷©½áJ‹¿´ÿ@ëçy/p^PnøŽä­G¸=\ã1¸¾ò_LÇÏðcÿô ósâW®¿—üÿÚ}nqÎü4Õ?üh^ ~¼ÏO»pœÕo‰}ÖÒä­|a¼ÑÿV|•æ»©Ÿ£õ8¢GßM¨ùVíG]¿¶u ’ÛÖ),O=òίõlü,/6Ü@x.Å­é8¥xõm¼$ú´¯böNqÔì¥öÛþ?\ν×kËëH~×Oú]œt=ÍìÊâ"Å)Ã1dWõüÌåvSŸ·ñ«þýíwM1/ûy~>ř֟Ô/”ÿ‰¿{˜ê¥­;‘ß9rÑ9Ù½¾ë?qùÉ9œ&×Ô9¬=­[¦8Ðâ.+ñ7»µø xª–æÏÂx€þ…èû„[)žÀ¾Ó•?\ï½×†s­ßæM§´~‘ÿ²ü›æ¥ùçŸÿ¦ëÙiÜ0Kò_Ôëõ}pl-˜‘¼ôþÈuéJœÅq×䆼åÖƒùlt*}ù_ÍOí¼ªä[ö¾"êÓ^ßòØúö©Ÿâ®ôW¾£FEqøÛžü*Å}ñ{­>åKa<1z–_ ³¼úeùV¥kzsäªòÙ¸šþZ>Cñ¸ò·÷ïÍŸK½Zèü¬¿íi `\]øžú–GѼË:Ý•+ıcO8ƒôqÚ.Å£4ÎDOÖ[?Óï(> ßwkü)nºkÑüœî>6þ/ýA“³Å·Ÿçö¦Ï¾~­ä3{€ó\nªÄâñù­ã’Ú½áËO WÒ>ù+ÊÃS;7<’æ –÷X~Eñ¼æ „+ ŸØ?Z¼ q{k—ÆAË`?¹ÕKñIß-3¿;µjŸž/5¼Cö³×s;òkdO„gj¿=óÍïü<^W>èï­ôݶ—Ë÷ïõGŽú\óŸ:õü8g¨Ïg¶ú¦_Gž)Î1œ˜æm„óé9}÷ƒìAÞW¹×vÎíCïÖ‡|IõÒò*ËÃ-ò†·ÂuÒ«7Î;ÂqK××ÒÙù-Ó—ÇÝûæÏì¼'ÉAqÛð}WŠâ7èÇíà£[Ïð]j×´N;õsd·)N4>tˆðTÕ÷jO)^®rÛ¹I²zŽÇæÏð­ÙÅÕ×qöçß¿u=¹~+´óx=žìÃê¥ÿ7™Æ7³Ÿê—è;H©ü¤O¡5:Ö¯©=†xþÊaú ýkýHqŠ«nÍë%.©Ÿ ú"-„ïsYOir•û÷y«»ðE]êU9ìœÅ­ê‡Ä>¨ŒqÁ¹–y¿÷Éï.­û´wÍîë8‡ç–â|`è/.ýÔŽÌo ݸ–_X<Øëùù[¼3÷Sâx‘懄›hÿÔþֽׄ,_¢€o®ç¾å«/ãXkozTüµ¯ï“=JÜ%ú:>{=ÒC?nÿSAòžz”V:ç.ß:FŸòô4Ÿ0½7¿@þƾ vzë}®Õo¦¸iê÷ _Ѹ¦v•Æ0nPizZÉï¿t«<û»þ—§ùKèšÜS\iqc¯G:·^ß4¾S<=üDjAÜWýTý%ÜðyÞèÛ:ÂÔ¦x‹æ‘Ög ÿš~Aü¾×äÚwaÖãýÊñÅÿtœHnŠ_f'u|Ao0Ι?y‹[-›“]R~ÚÃmwžqúm/~¿‡oör›ßjr:§‡ç)t´àìZÿVùêsŒ;§uüË9tœ‡j÷ÿ?üš|iž–~/½ôK×Yë9 Â{ò?„·âõÂ_)N¥üƒÆ÷ô#õÃéz›áV趯ržß’'SûZ,ß¾õ(^Ùom'ßKÃ}’Ÿæ•Öcw¹_åµïqV»±ÿ 0oñœäókÜÿ"þ柬d·4O䯦ãbòÚ¹ÃâÏjÁù‡x¥ïи¤óDã—æÅç¾½‡ x畃üC´vÔ¿CçüJž}åOÇÛòUË+„/óg^ñ?ÿþ­ç|ÍïÕ¸½½o9Ë{lMŸéý´šZ¼ ïÿ> ó®öœ¾#Nyí¡3Ôï+/ùÕÔÎÍoZž˜Úqš—Ú:ÉGïËßàºÉAv$óU Îw½ó@ôWY\ÿÕÆÙÖ=i\ÈÞÓxGþÚò!ÓÓ:.Çn ¿žziœ¡ù:t$ÿ­EóÃ…/ú1¢Gç†Òx*y[kŸÊUå£ñ'öá¯øê‘Ÿ¨åu¾ÚékõcïJ¼¼÷-~Š^Ö‚ã]÷z”Ký&éçô;O¦W–×™Ÿ5ýÝÏÏÕß¾Í/Òy?õé³i\ÌoK|Ãú¶®Ov³K½4?7ÜHód8ÚÞœŽçHïÓøA뀶®jÿï*ô?È[=ŸGŽ0¯¿tÍŽÒù¦uƪG o·~ºß]õÂÞë©ÿÏ"ãÙä§ñ#¿mvpä6¿Ov\õ>Ígü<÷Þ+¸ÏI.óÃ4ÿ‚cn½ú^%ñ•õpÜ‘ÿSº÷ÅŸ£>§ûÏôéw“Ãâ£ùCćÉ_n+¿÷¹ÄÿFŸìÌþ7ÚüƒÐkrà¼þüίڽ¬ã|œöDïÜ¿|H?‰.áèÿígŠ7ÖŸ4¿9ôR¼,ãvÛî$½3?žÆ{’ÎÿÜö0^&G«/yÉ­—ÊOãu~I_I¾Ó.ÅýÿÀ¯]~–¦úõiwé’?=õá;·žùEÚg"û­~éüBÿš¼–Wz·^åCqãÔû¹×ôB³gʯ,ï#¼xæñЃ}êǽ/v‚ú®WyR\QåÆõôÏZ~ùóÍŸôŠôÙâ¡õ‡Æ=Õ£Ða>F¸€ò ó–H^XÛÕ‚~´äu·~ú¾Åúê¯ØÉ­g¸žèÒý½~çozIóNëf†çÈ>|Zÿ,Îùίõ³ôçòüßä¡~|ün«_ûeq+Ådžÿì\œÅåthŠo!/½õÀ¾ÛsÐC¬7”pê˜T~÷úÄmW²‹#'ýï[šßÃzD•;ÍŸ°>c®õè{·²¾`r´ûÔOjgóm8HâÎñ¥ø[ùš¿ñÝå#ý©õîuêÒx˜æÃäWëús¡ï'Ñ|S\„v·?F'Å›/R®¡ñ±kš·½žû‘¶'czrøž_ÃD×èœßšWšžzíû?ßÏEŸ?šW[ÿ×%.?šçéwŒ)Lõóð­~Êô”â…Ø땯փuíù‡ƒ#à<ºöËürèï*¿Zï^ïõ,ßç¾úQ›÷º_XósßúoãXùÖó .]±ÛZh>*½v_âû8ÎîõE×äÀó³dׇ~i‡ò¶ÿ]ßפOµ>éß.Ï¡^“ä9ò¦ç;IÿOûú}Š_”G˜üÕßüß×ñ¥÷ý-Þ§x(Åm‚»ª~^:é{S`‡š¼é¾ᔪ×õ¾­¦x”ÚM¿GMtlÃô3=w›âßzŸ¾l¸‰ì£ÎçÔÞÈØþkõ7¤à¿cœióPóJz¯pf“³ú’›æ¥ö£úßC'ÅO•^í_•«úvîçûúôÞªEûMù­«™~©¿•¯å ¶î]æåNqTÇ-îÑüÓ:ô?õûWº§}Åå•.]Ÿ_Ê£Î/ùY°CÅ;§¾å!´®Sø5>æo 5|ùó¯§ÒúSß«òþ¯ÿzæWãeéÆÓÚŸÓ®òû\_¹1/r¿Åsaºt4.´@öNÏ-X=ùÞ¦á¯ÛÎð”ŒææŸS9hþ ŸîD»Z_¿*×^ß÷7´«ýlß“{î‡Æ—p½ãò‘ŸðÌ‘Ó¾'âNËÓ<¤W/¯\WÕçµÄûµ¤_Ê9ÝVïð?õåÿ›ü´XÇ;<Fý½t¯¯Çû·ćÿÈûó(×}N~Ö;n»Ÿg¯5¾S}§üºþïÅ7Ê3­~·ûœôØúeçÏÄÿ¶zŸöz¾¦­ó•ëáïä*ý!{ƒõ4ó—áIÒðÏnšÿÛwý´ýÏós[Ï8òÝ&‡¬ß×Âxççû~hWí9µ;¸×éûÐ_µÚÎôSè_¹È?T}¿€öCú”Ú­\úóüÜpÉ!ë´m<ê{ʦ?Óñ1?ùÔ•§Î‹å–ŸÒøR»]ä¥~ÿÖÚþÐ'ÜArMý6ùQàíÉ/Pü¬¸NðæQ¶þPå°üŽðeåCß-'=9H_oûÚ®ò·ý¹ö¾ÊÏ÷µŒ×Ú>)´÷Hß ?¤ù§Ù}]_§síu^(C?t?ÉðÀ¡Ûôàçù¾á:[ïïvÞúö½D8WÔøQû4/!üfñÇÖ#hÞINŠŸˆë׿žŠéG“'kõz¯G:MÑ3Õwò›Õž)ÞÔëÿkšü•Ï¡GßçQó‹Ã‡ìÜâR˜7YÑøfùÆéé¿áoËÛé\ˆ­sÐ8Éú[ozƒê×õ©g­Ø8™ßª×gÿÂâ$é¼€óCxÇòÑcËDZ^êÿÞç4îŸzñ¸Y¼9ô.™ž›¬ç¶è;KS¼Dóö‘÷Ò%¿@òW¿Oñ~?ü[œ°ï½ÛwtÒ<’òƒtž ÷Ψôé=Æ:o6ß–†ñLã©}ÞòO˜K¿­3üüÎ÷ð?séOýrˆK}ê·üF«öþó]úQƃ ŽË^ß¿†Ãh7µë:t> æ÷Ò¯údßÿ£õá:žð¾ö­/ãmëůŠ›÷z¯G9ñšð9ée¥?õG§½àË{οáPŠË/†yÂ}¾×s=º¶ú¶ŽÙðÈúµÍ¿§8žüàôü7áY’‡êÛzŠáU[÷¨þˆä3œrßú¡¿ÂsOâŸâüÃôÅâ2䨴Þ&r_~4ž‡ŽÅ§Ê¯úÃðÿ˜Z o˜~Ðü”y¯%nO8®¾7MñÖ™êøÂz´¾W3Ä_Š÷ú–‹ø¦ña¯çz"×­Gzþ¤ŹÕ?H\ù\ë[î¡¿@9åû»MÞÔ˜]‘_»ÿùó\ÆñÀ4)ã‚tBÜßä3œ@qw˃íÅάžÑo÷Ao=ò§ö?P´RŸ×q¢xeãÓöó~~¯OﱄøÏUU9ê~‘áÁÃØ.Ì nûÏuj‰óó_¡ŸŽq¬Ù}½­g¯_å3¿ËO~ö©iü).¥ë0—ÂþOéP‰÷éàÿ&Ðî÷z®wî[^Xù¦¸Óò¿ô>åQæ×Hš¿[ß×{=·3=8íRÜnt,Jñ.gåsžÃ¸ÖbõÓq¸ô_¦v×èÙ9[§9ûpäïçR?özæC¸ßâ;£_›'Ò/Òã*á†Poo}‹“”'¦ùšøÖîCOñ¥áP²SñWµÄùþ‘Ûþ3=Ç|èU¹Ïý4Ÿ"ÜAôÁnïuˆÓZlü̯¦zlvÒUœjúE~’ò:çDyÃtRÞë¼ív©'ÿ·vÛN%½<ü¦úÎ_ʧÉmógø©þây¯ŸLž#ÿç÷Þ§8aï ˜üP¯ñ…qjò§ógyåÿÄþÅëTŸ§ñ8ä{ëÓ: ›"=%ÿS÷i÷úþµu°GBžpŸ[¡÷Œª\õ½08ßL8'Å1^µ}ˆªçõEÌ~M/MÎ7éú>õð,æ3©ß°8 ~ãÖ“¼”Š®‹LãÊ?SŠ4¹žù=‹©ÿ´¸3Ì ª^Þv´ŸI8›äûÔ«ò!_’¯ò·¸&û.M²û×Ö+Î}XwÖøTé™ýJ^¦vú½†ÃÖ3Ä?¿óµy„þ_z¤w_ˆ_ºû×|º´»íí{­i¼"¿Mëb€Ë®\$O:?†cIn:ßNxÃÎ5€?2\ŽóHïÍY\ ý¶Êo¿4N–7œzfõ½cÀ—Ø/Ê$.Ç«Ò¥} Ëwjûz>ìÃçÖ'y)¬v‘®{S\&} s@ßW½–¸‰ò›žÛûêu¼«ü”ÇUztMtÂü>Ž#ÐÿSÐ/‘ßMå±8nx®5ŽþdýHÏWÖûeÿûEq‡¾ëFíi¼Ò¼ÕèLçÕðŽá‡tÝÁúAv³×sýsÆáŒKäwk<&{ª¿µ½7XÛ¥~·ò5üJt-.Õó_©=N¼ôm_¦âÔØ> é©­ç§öeöL×æ?ÓßÔ_CûÛ_Ê»ˆO™ßÛNöKp”âõ°¿MêÇ^#ºŠ?À¾o=ºOñžüžéµâÎB'ôŸxÓôh—v0õy—ûç×ö”7 ®ªþ©ú˪7µ>|·„ ÚƒØcÃ9ÍNÖ÷õÐþqi@o=ó§ —µý½>|¦øŽôv_ßûoÏK>Óø]ZöFô5‘ýÐ8N¤qiǪ¼àß«\Ý??Ó‰q¯Å#‘Ïì¼Õ“ïÄëäçàœÿåCý<ôj~/û¬•î½¶< Ò5;¥ñqõÜ/ßÝFúÔø˜?³ý×t=ÞôCø6º„ÓdRé˜] î¿ôm]l¯gú†ÛÓqJ×^ÆËn=¢{~Ï:Ý^Ïr{¿tÉ/Tû¢u6ó…_åÛè“j~ãç¹Åê÷°ïZ¤ñæ ·Ôv­×Ÿ_“û›_Ó‡ó+çÓ‹§ëû: ô½:Ž»Ô«ë ´_Ayj§UŸëxÔïS‡þíÊxýù/Àèa<ßFpg-è‡ï{?EÎrMþÝòcéO«¿×7Ý4Nˆ¿×q¦þ‰?ÕüÎðyø½žF×ðŒæA?¿Óƒñ¹rݽ¾Û‡rÖbûli›¼¶mqì÷ò¡ï¦zD¸œpÅÙ4_„|ǽÎ맮ýŸ¹áÁÔ?îiòNý¬ù;³—½žéYþ`ïÅžÚ‹ùÉ¡_iüj¼LñÝ©oñujgvŸpÉÙ¾'µ¾É‘¼†»J|nt‰Åù¾FÅu•_ãO~„â€Ô»ôé}Ö½žå#¹‡ëhg‚o_{šèÚw& ÇX?èz¯ççç¾ý/üoÓ)”Üçä)¿ªyBè'[{ç[¿Ò¯ûùÆëÞ5Ÿç9õƒäµxlö\÷_k?`½ ý$ñ³õûÚ?‹“ Ÿ§Ø8´zç·ÚÚËúýz¸®Aý¾í÷úUþ{Möiÿæ®Ñ£v–ÿS¾!ñçÖ«q6«/ÿ:Ÿ÷»?¿Ó#{P}ûy~Nòïõ}ŸÎN¿·/xÒâÐ8?óçñ~éűºO-ò\º»\Wý9ü軘„é|¬ÌCåWåW\U®oû¦wßò×¢¸«®WÉúèT¿n»vžc=ËCvØðÂÏ£œ¶~‚ý°¼ÇÖ³l}ÉÚ…ò\º”‡^U}©ãCíÍ?R¿ÏV;…¸ÐøØ:•ÌGœOþÿ‡~ð,áuú?_[?1=OÏ—ÑüAü'~÷~ÕSâ[êUº÷ZþwíÖ;rŸßâ?n=™ß*GÇ…&ýÜå¹Åy²³W]ó d_-Îü|ó§ÿI4ýó‰{]ùïõLÇp ùµêͯ™0»µï½“߶øz~ûi~Åü«Ý¯ónïÍš¾ZÜLãhWÊÛÓøNõBÜqï“?³qMó|³¡éø¦ùG?©Ù õÏâ"¼Çlãué Ž!¾í¹Ìw¥ßí}ýJ'+MÞ§š¼Ÿû(GšWHÞ„~Þë4?&=NqŠÒñNóâW¾[ë›_§8¼×óoú¾ŠChwt~òÖ£~Ù:<Í¿í³ .@ÿCzòÇu}óÓ•_¥Ÿ~ÃðJÛ(tÓø«8o}ó#ý ÷”/¬#ãuº^cvü­÷yýž¼+é äœ×¬G¹âõvÊgÌë<Ø÷iA¯o{i¼¯vz~ë¸R¼¤sW´ÏQäºÏkÞHv*yŠÚ±½lyÙß^ßòW:ŸçÄÁZoú½§t=ŠÆ‹ôÉpó^ß×ô¾ Å«ÓÞ¾ïDù”é¡ý?£á Ë?ÈOŠ`ýP?l\[{—ô¶µKqÕ‡â;ÃçÚô¦ìû_y ׿#Üú‘£Ý'<ãÓÚ§øè§ùå!6.–ŸXþDöfãBç]©ÿ¤7´?Tñ¢åg†_ŽùÈ}ûEçKøy¤W‹é¾Ÿv~k>#ÿ#ˆüÃ|¨¶k|( ý*ûþ$ß½¦sÅéºF]/6ázmùTÝ?§|§Ö3ûøÈqû~ð^‡òßú•¾ù¥a~€úfvmúE~•ø›>[ܨx±Æ‹!¾¾õK|½Ï w›“¾Á÷¢ãy1==SÿRï[~Oq2ÄÍ÷yÕ·Š»èœn»”_Rž›Æ;²#°÷û¼½gü“ѱq¬õϯ­¯Sü¯8ºâàpýíÖ¯r…ñè¶7{;tëzœø¥Fßân•ßÖñB:Wú§Tb8AògÄëê¸Ðù ³Çf7ëY‹×á|W>V4Ÿ‚ù£öšç›þ¦ßm®óÐüX<":i¾@ù¤á‡/ö3NÑú4ŽGþ0¨%Æñ)N§ulò_æGÎ5ýŸlšPý*Í{ûýù®wúMßu¶¼VÞ3B½;òC|:E×KIÏsz?¡úš7Òoò³o-Ï´u_“%Ÿ¨|ï5Å-ð·Å5ðK؞ί—vŠÓ÷"½ÏµÆ‰Zï\ŽH×eé9}Ǥ֯r˜?õaø”8ŽÔzö^©Ñ­tN}XßÒu+‰7·å×4~æì»GŸ,® ñ—þï¸ÅizN~ŠÆ—üÿù-òÝö&O˜7\z%/C» }‡–ï­gy÷ú¾¦üÐüZ}϶Æmßvî)¯{mxGó«õÜ.åSñÅ3ŠÃõù~–§Õ'|’ŽsÅY¾•Î½¶xkqÆïÒ!Gþ°Wƒúáo“#”÷^~&œôöw˜/£Ò*Š'ëúØ^Ïr ýpÜokŸúÖÁÉ·>­çò•.ùÙP¿ïu•ëüZœ%½¢ü’ä¡÷x,®’ýQü¬têz–ùÛÔžŽü†-ÿ«÷é;¶Ä§ž·ý´»ý2»:|¨ßáû3éúÀ•ëÔû¾õInZG#ý‘ýÅo¾­¦_µ­”óý¸_@qZÞ#¼rɺe-´ž¢ç²Òï?ZŸ¸té’¢øõ[;²ÿ*¿á!õ$ᑃüü•ò³’×â{ÓÛõM?ÍZüùù¦oãº×÷uøÝU.ÅA•.­ËÐ>$ŽÛç9|Oý Ä—ûÖ'kéyEáâŒÛ~C{òÿõ;‰o÷§R}µõÕó[¾K‡¸QÖ5êµâ&ûn±½7—æñÔÎêO¿s.ñ‚îë:|MíWâηáñ·>}O1´ó{âI-è/m?ÅŸðÛ䇼 ǯ}Oéç»é«Åm[o³|¥ö§ÊâÜG0û$gq;õ“a¼=…ìò>—|Qñx¸ŸWå¹×y[{zgøÝBW›š7Ã3G>èß)ŸÃùˆõ×ö»ÇV¹1Þ…ÿZé5ú6Ô³ÓT?öz–×Jý:N€ÿO¹ühßÇèJÜQ}¶|ƒ~-¯#ýó6¬Ÿúòã/ÞêUŠû,î9ç|®oÿÊó{*ÅMÛ·¨úh~žìèû˜Ÿ…ë36µ´ñ²}uð«¨vþìöÒMçÕ쳶ƒ¼è^S<´xó©wéyê}Ò;Åy¶~Iq†pi÷õ»D§]ŠK0OZßrÊúž×)ê7,îW½6¼»¿ûqå8÷«|å¾âŠ÷ò]zì·L¿R»†_*¸/Rä¹õÉ?›_¡¸jëV`ïWÊc Ÿ…óuŸ×}‚0¯»òÔ8´×ãý&¿èA£o8xšçÆ—ä²q–õÂƇä|³õ{ú]Ù½þõTâõ^²Û]›‡[ßì>ÄI­W«|„GC}Åq²sÓü¬Êê¿ék:ž¶>êý½Ox‚ò<êï§ñÃ}ÒÃϾCeùšá×s¿âG³{҃Юu_ujgÕß“ªø,ÅyO‰qÅEñ—ÿáó,ç}^ý+Ùí~¦ƒùYèWÌ]zU”#­ov²×÷}ûµ<êÜ·üÜpiŠ“È 'Ú~ð¯ý¢ÉE÷MÏR»œÆÃiÞGãeö~èÓóð=qÍ× /—~Þv¿t=Ûî§q¼ò!¿aúQ¿ gßߦõà·~0­oÿ«AïË€PbÿlúmÏI>Áë÷~¸¿Œ~…ÎK‰\h‡4¯uüŽœrîü^§ãQù>õ{ØÛsò›áü·úm}â›n£cy+èm£_ñ.à×{®«Γód•Š/n;ûŽ»áH˜Í'mý’öÉ0ûî_ìOiÜÉ>i}üî)ª§)¾¤øÕüÕzæW牾¯fr˜Þ¦ëÓïIÜoã¾×s½t½ËüS]wmö[îŸöòPÄW©¿´qKõ©öës}ù§¸^Æ·ö—Ú§8ÛÓ¼Ú:È^ß׆ëÒq¯vjçüj<2=3?Iñ’ìØÚ¿Q|Ey7Åñ·>Í_ŠÿÓü½ú3¢oçú‰~ýŽŽÅù¡¿Ä|ƾwWÇk—ûâÇìÿ’ÖÿþüÒ{J²Nzé¤qõø盟姶®âÉŸkQücþÿÈWè§yò9í«_÷.ýô{@6þGÌNÞƧ”ä§í9ùEñ‡·¾èc«ŸÊ-vOôây¢|ƒü¼Å}³7ò£‡èÝ¥žº×a~Òê‹þV~êÈ~Óýãû¡wŸËyp\ל®×OóïÿÈ¿žé®˜Î7á…ÔU¿kç–¦ñc:©ÜÓýÊ7ÁOU:µ ¾!=¨÷O»ô½™N¿àœÏ¥Ú?É…ö™ê¯Å]Ó§‚kQ¼úcë–¯o½!.P¹ˆ}ÿ®Úmê¯)¾×~×õ¶ª_–ÏØ>Â_ó+Zg¼Šq+7[§Oã†å=†ûk¿`|/¿©ÿ¬rœyN¿gâÍÆßþo¯ïç´_cvÛpØÏ£ü÷ù¡Oë»–/¾¬õ¦x7Å ¦GŽÔ¯U¿l냦—ä+ñ£÷ºÊq~ ˼6º¶žë&ÄEìÇ¥ÿó('Ž3áУ֞ô‰ôÖc¦ùEÁ¥$W»/qòÖ¯ò¦ÿú»ø|zj×4ÕOCýZ4.>æç ýY}zŽý ?lãOýOóŒTÏÅ`ÌþÈOPü4|hß¿ ù=üí»â'šœf·…k/~­Ñ­ãi¸÷[žëW¾äßì;2د:Ïçº~ÿƒÆƒÆæ7ÕóÚ/ŠÓ†{Bý¯òcÂï"‘¿nõMï÷íõ}ŸæÑôÕüýù-qå=õí{5òþr£_éNã2àÿ8T¼%ø~×?tjA9Àþ[ÿì;&—|ŸòÞ§xlñ5Å™ô=|YïEý¨ãcÿ·@xÜò!ÊgÀ?6úä7ªÚwJÃ}c4®ßÏÿ|ó©~gúÿæç]‰Gq¿Ãþž¢vJøžö,¾¦øøÒ¸Ùÿv‰ýÝúò=E’ó¶¯y¡å¢µ¨žL¿¿A÷ ïœkøéå¥kãFã\å0¿—Ž'ÍG•§úyÐÃK—ÞS;õé{BæçÌ>$.Ôkí?Í‹ÙÇé§Ñ©×Ÿÿ"»ÖõTÒÃaÍ®Çz§P¼ÏaÝë‘>W¾{}?¯q–ìÖð¨àžzÝðƒÈuëíRÏò û¾¦½'Xÿ‘æÆi:oâ·Z{ÓO˜ÏZ4þÉ|7¹(nS¿Í¯ý]•íÞò(¢Wã'ý_z¥·×3·p^ÐÏW:–/‘?œ¯+?Oó70_­}µwÅoEÎ#7ñ·}CjOý¨ëÛíÿžÛU=Hÿׄö?©¿†‹?¼|È/."|`òR>Cù5Åg{Þú½¾Ÿïõ»üç¹Ä×Æï´3$ý õL[LJï6^¾ä—O»ú"ùyèϽ†õ>Ì'(NÕ<*Å8?ßü®\æçÿ*‡¬kWú÷šüAwO;óקÄáF—ôCð¡âJ[ ãM-gé—páBø> âGÒ¯£tÞ¸Úó^ßü>×n¹ßä¶õC³‹#‡½/‘â´'ǸÄp æ§ëwylŸÇ¾7™þîõ%×¥_å%ÿ ñú>‡øqŸþµßä‡AôyºnÎ;]ONãÆ‘ÇðùEŠ††ýnúLq€ä«õIŽéû i7ÍWÉßÒ{8ä¯MNòÇ4¿§ÞÛ÷­6¹𛵠Ý]yþýKß¿5{7ý2ÿ—êåiÄ¿~×0õÇ4äï —Óû /íù>·¸º×3]âGöorÖúdÏÃ|1Õƒ¸]êȾí{b”OÃz´Ž+ù-ÉËÐîõ|ßæÇü!ÈYûÑú•þû±}XʳÄϘ\÷9åß´_jû¨æ? ß|õû‚G†úßø}Oã²íkî–=Écë肳j!¹ñyå÷‘·õ‹ì&Å9ÖßÂ÷ò©òH<Áûä¿Î5؉•ÿ|ǬЅþÅëUÎ:žçü‘áè·ù)áÚé>­CÐõë“|…ÞmOýüßø¦øÏâ‰å¿äÿÂü¡ÅCû®3ÍOçó;]Ÿê?Ùë4^}ä½ý5þé¹G’ÏòG¢Oë§}¥â‹xžüzÝÿ½ºõÓõò*WÑßKïÄÿZâ­×5ùÌ‘¾‘=›>‡8²¿Tÿkvé­¾ ýÕm_æ»Ý¯zÛÖñÏýŸïë÷HÁ~n=ÒϪ§f÷%Ï¿ôm\kÞB¸¾ÏHyþt]°Œo«tã| µË½~¯ž[‚|áÒKã‡ñ3|vÚ§ã!~âÒ!}!{µõî†þý»×c¿jÑ÷€«=†þŠóªŸçv6Ž©ß%?kq†âí ˜Õ_”y¹| }“#\¯¹í†çik|½tÌž*]:Iq‡ò‰06:*½ŸÛÞò¡Zßây¥gç$krZü¤~§ßY°¼ª´S?Ž?¶#?$~4õ7—ït½î“þÕß‚g®$/ä)·ñIóZë—åeé÷KÌÞ\Ïò’Ÿ°õhâSõÛðÅ{ËSd}`Œÿßv”ßÖ~íõ,¯à ‹ã:ä'R=Iqq—Sçšž<­ý—Ç~Ìâ3Õ3üú7jOùå^_íïósâîx 7}èÖBô[?hžÌ¾ŠSLÿé;ÕžÃïÝ¥ùÆ•?ÅÁeo{É—o=°ç&ùÍiœ5œkçywyžê‰á znùÅÃ)·^z¨Ÿ?ÿþÝëY^êwºžAtÓñÞßý ¢ç„)îVþt’ôòð%ü^ß®š’´8µžïOã$ÙQ¸ŽØèš¼µÇÔ_“¿"û¬óOße5{­~«ÊAïã–ú1ÞHóp³à_ âu™§F§¶¯ë à7,~6>©Ÿ*ëéMN‹ò?ŠÍ_Lã¢à¿*W£KóDß5¨8gè¯ÚýêOöç·®ÓØù3³/X'¿Ï ß—úí>Ñ#»¤sH•Ï†zf÷Ó¼GäntŸù ¯£}­_åhõï{1?ÿz*¨ßUNŠŸöÿá‚[4/¡þ¥ëG.ûÎ8á7ÒËß _líÿóûÇ<×m}ÊǪ|ä§à»á4þ÷9á®Ê÷ÈIñâÿß·8ò¬ÿQ~y.Õkòš_§÷Î÷úæOögúAó@rÙº‰óm> ï¡u>ó ŸöWnÒósâbë'Å ‹‡EÙŠ»,/²öyjA{<ƒqÓÆOòÃ[/4ŽÝ®OãlÕ³Ó¾Ò¡óß‚Ëu=§òù\·ö¤· ßV¦¸‹ð^Û·!¿kï¥ØoŠ3¦tŽüõ{Á¤§û»Ÿ·„é{†©ü¶®â mŸ®gÕ~ïõÜÞöÃÄ]ú–¿Nq8¾­}Å%‚7POL@ÿt=¢ò‘ýô㤷Užf÷Ïüïs’§Æ³Ú›ëç¡gtÏs²“ê—ÉŸÓüË÷p¼C¿Òê×y¦ñÛëû×ôðS¯ò£ÒÎCÙÿãÒsÃ#d¶.Gç‹ÌÑóÃßüošïS~`ûj´>#ß1¨ôî5éE¥úAñ.Ý_:tHOl^ª?*Âw©?'?öRýK­ö;ÅK•½w4}oì´–¦·r¾L÷£w¹Ÿæ)4.vmøÆÎͤãIß¹ å¼ò¤þ3Ío©áVÛ°õãOr¼]LíƒÞk¦q¶uFŠ7·¦| GSûÔÞèÚp.ù+z"íõ/µÒƒCÇôÊì ô°³$w˜¯µù²s±b¯Wê?á™ÔßH|¤òOåÛ—^Ý¡ö’‡]zæ-›]˜¥<Õò O}í‡å§•Žø—[Îç þ&9îýC§Ôoò•u´ûüøgûßâ;Ô£f¿uÙ~_Š›ÿ«ßNqµé ø—Zíõ\ß¾÷¦ùÃÏW=Í«§ñ–ÞG6¿d~­Î;ÈséJ|¬õ4>³<²è;É…öU÷7 ·’Üiñá[ålr=ù+ŽÏÿýù½N÷u)^€^]ú$ŸÄC¬ßôùç»ØK•ó²ò†É.Šœ(ß_ú)®MñáW“/õÿ‡¼ß|¯Mï÷küJýµå%tÿБq¹ý!?;\w¨…ú]Ÿ7~d÷$wºîþ´ñ‡q¿õ ›Ÿ$|)¸«ñŸâõWØ~öôûji¼£<ü™ôÿ¶¿§õó,å[®© œÿVyï5ø[ôC„¿EO.¿]ø9黕–§ˆ¶z§kQgy.õïÈq~i¾ª¿©ük{‹Sâ×.][¿{½í-nKkiòÂ9ä/vLíQÍ/HÜB~¸Nðóu_ýÅ÷Š“ëwjN~ßÖ·Ÿ®ßå=®E×K¨ñ±¼ãðܯÿÔu8Á':4ÿW?×TéqÁNh‡è`ÞZ=п&øõ*ÇxýUüg“—쮎;­w¥þºÆ“´”˜þzTßâjˆOn;[G³üÓâ¤è¡Ñ½rÈÿq©¼Ä¯®_ZÞ¸×wûÏõå/ú^å¬íîuŠ×S?wä|õm|Óù•ïÕÛ÷~QïÄjÿî5µ;òØ8’|”Ÿ ŒqfÕ×–oü|×qXœ>¶žWÛÛû éoõû©ÜÕ®ÃÿCéë‹…ÄïÛ?̃‹ü¤÷{=·¯xðÆ?ËŸÈ?y,¾Ýöi¾kþZâÏ¥cë{ÖâÍ­·×=ä[ê!=Šƒ–¦¸Úâ•ùýÐßÝú6_‚»^óµ¸Cû4Þ†SIOmŸJpùmgïkžMó…ÐN¦øõÒ§õ)ÉsL_.}yïèÖ£÷­ŽÜiÿkýÏõåøá>§8dúIë‘æ'ÌÏžþÔ~Õyªßu}³ü®ÖÃ~Ù¼þ¤~†~½û“Ÿgù-~W½¯ë›¨¯?ß×dwö"³ÛTïi|O?-?$ùÂú§ ¼ô?%ð[‹úWòõù¹&TëÿSøÈîy/]Ã[d ¯ñüÛ{ý.—§ág‹d¯F7õ[…Þ)c:´Ž†û~?ßüÉž`~õ½)ê­—ÐxÃÿ<\zÕhß«ÊkûqäOl]ÐüF}^¿KNöQßo¤ü…p éìK·z„«Ç¥ñ;Ì«g[|¶óÇ©ýR¼Ûëû—ðXwìG¥SûmùË—ûfßâ_4.ȺRëéé^ßüП•za¼Òó4>aܸõÍ/W=%á4nÓÿç¥8ÖíËGmÞÍïZ¾ØòöŸŒ}nõÒý„ò}\Œ¤„;Ëõ)¸ŽJy‘|G®Ò¹×&·á,Z9íC½oòÔ|fêר_ôÞŽ½gG~)=w#ñðò£ñØßò5¼Pë_ÒSZïIã½Õ;ü0Oýy¾¦xgøÛ¾û'ÿOúHø<‹·”קïíõk?”O½èI<­ý+è'Éaç>þsîîçQ.Ådž£zÝüÑOõ©Ò‘õ0\$;±xú/÷Ó}úœö5Ïo]Iß?Hÿ¯³ÊñˆJïÏÏïÏ ÿìr z†×¤r½ÙÙ‘CÖíªq1\|øÓøìrßp<ÅMÓKÂ¥½æÛç~ÝÇ|på!?PèÜçáºí­žÓ|Z^ÑðáúNá×× Š¼2Nè¿,KónGš/°G¬ýoò™¾Žøü6zg-.˜üdç¶þdãÔüéÏw?áû š·î8íj¾h8íÜ‹?+^ÜxÛÛ¼T9Ó|qzŸæ ö³uŸ©âòOÖ’“ò-ŠuÞì»Röÿâ2¾—OËkžÛ™?x‰KÇy1ý<ø+„·¨?­=æ«ë±}Œ¿Sœ@öiqöð¥ó{âçkAù,/¾÷~º^C~¬Ê÷rœ/=Ê_Âï[ Þ¥y“Å…ÔÏ~ÚÝ~¥øºô÷¶¯úUåJûeyæA?ß÷e?½²£V¯Ú¯ÅoÊ3ßæ͵>½IzR÷ûH-þJÜŒõæïÒ;ÓÓÛžÞ„ó~èô}•ŸïßiKù©Åw’/Ì õ}Ò#ùWZW®ß ±|€ümmOþÀòtÒãó¼ÅçŸï_Ã_Sü\÷a¨€{É Ÿ§¸8õ¯ä¿èÚðumW¿NôMÍÎ Ÿ¬×ï^Ï×ç×ú+8ùò·õÌJ¿¾7DãGò’_ñŸæp¿Õ£øExÇ⯇­GX|«ôi]ì<·~›ý½Ù:(àµZ ¯Þz¡^+.¬¿á÷dQßÂVö†ñõÕðŠÅ‘tÿòYiwŠù‰[æŸþG×â¯ø×öžéÛñ‡í\âÏw}ч&—ÄOý®’}ßðË­·Wi·¾î+n6YŸºâ›<ÏÝzæè½°ÃF—ÞÛ=¿©½‘¦z‚+1Ÿ#\NqÒâ“ø+è¶Kóe„kH¨¿•oáséRÞ®/«¾XÞi¸ Å5fâ¯k¡ñ¸Ïié\(ýîRìµò%n^ºô Ený"_ÓOó‡Í¾×wý:ÿ4Ϥ'uß³ÈÙø#Üg?'¾C<\ùc¿ö7ß[Îi¥zÕø¥òy ×^Pû¥uÔÔï„8¾á0Ãé–ßîõ\ìì¡ÉsÚýS~VÆñÒ§óÿ–ïXdû/ÿ·ù Ùsʼnõ×Þ¬ãŸ~W$õ3¯jÿ6܇ëK·ê)áû%}¢óÃéw¦?r5ySÿ›âÆ:Ž5ŸHõÖÆÃð¥ùòG¤7S=°ü‹â…Å?«'8½Éi8µígý<÷k¯ïûmŸ´´£ù!þ6î-Ï^Ïõl^Óõ šÇ½žï§õë8×û6N'`Ü[?ËzÉ}nxp­žo´÷iÍß•y¬ýPÿCzVåß3¸õÉßÔñ¢óHÍÿÿ|?'ú;ü’áQÃiSùŒ/Ø}-—îsÑÅË6¢/u±É_¿ƒb~µð¿t̯ ãvì¿Í‰¾õ?ýŸ¯GÐøìõ,7ù{‰çM®êïÓõ*²?ëåE)>)qåò¥÷Áߪ~‚½˜Þµúµ_ö?¾†Cöú½Þ[ýªþÙò×P¯k™Ú}ëŸõ{¨·}~Ö£<—ß^ßõ+ßú¼Å“Ÿg¹éýŠ÷•ù/ÑfÇ7 ¿üŽ|´Î@ñ/Ío(_´~Õöö¿vUîsß¾O~ìÒ¥y9íL¿I_€/ÚÍ»ÍGáÓäHã6ù÷4¿ž®^3yê8‡vÒñÜzîÇ¡»á9äÛ­^èïo;½dÏç>½ßhqê\§ó”Úû¡[e} ÷kjûJ—Æ“ü¯}W´Ò'½¯üI?iÜì{GSl| ŸœúŸ_þu|M_ìÿš[ü^Y=ç+W7û¾Äp}áÞ‡}ÂÚ¿ÏYçMþ_è^ïg¾ˆ“À?Qû{Ÿ¾Ÿ[úÑèPܧõ"ÂÝõÜ\Šó!^49C?PËäZß¿Ÿúš7~¢÷´!¯hôÍ?‡yí½N×)Í¿ý|[ÚºÄ÷&ùËô{’ä¦ñ’ö݇ß¿ÏÓuÚCŸþ7¯Ú›Í;Œg{þ<íß­G¸(Ä%·]{ìsMçàSýßëw9Š?¬ñ™ùÉg6\SÏÑØz¯ÑÿÞèÖž×u)[ï±¼y>`Çö\çõÜ'û2½„kìéCº~ëbTôùpÛ‘^Ñzš­»‚>WþØ/·[þχp¦ýÏ£åï6ß ‡­ÿîõøüò¥øxÚ‘þÔü˜òB:Ï8VøRýzæáÍ›Rû‚q½|, œ`q€â£ø&áVò¿ÿZ{/ðÛ꿪]Ñ8“ÝP<5¿Lõ U\Bûd‡ù…óüó{ù¼œOìúœÆ]pE“ûÈ+q'Ž¶¾aqËì(]o;ýJí†Æ1mGóö6%½¤öçÌ^!×õ1˜ÏÛúW µ«ÏS|j~µÑMqكᖷ§íÊÿC©½üq]#Ö«ÊŸ¾?`øÃ⃜»¿üMoêx¦ø›ü¦}g°Îûô½2ëOý%ƉSßî“ÜtžíÓ¾õ‡Æï-®$Üuä‡uøV?õ;Tß¾bzCtiÜÌï§úUõÿü½ôÿnm?“ÖÛ?×WÞ—•v÷~[g(|§y„åË•½×%òÇ8ÚÝkÃÙU`}·ÉOñðÐ%}&?#ûñÊ_ìé”õJ#–wUº{ý.o8Mþtß²ò£~9ÏoºNCý©óPïÔ~a\wéØ{ùuü ט_OÏ™×ñ ÿ sVÄ·õ‡üW¸~z¯Q¼‚ý§ÛžpŠ­^ŽÜå¾à·ô}ëÛò«çwŠ-ϦïSã÷€J=[/\ný»Ï —Ž°|]ÖËZ=O¼\}ŸŸû)N¬ûü§Ÿµ¿•.áiòÏõ&ÉOï‘\ØÚ§ù½åeiœ®í‡ç6¾Ùé Ù_Á5·å_aþÑúAïÖsSõ|õ‘ƒÎÁÔïýÔþ¤ë õÞS¸të{ðyî5Åcyoë¶7œAö@ïiÉwiÛ<–}ûZôû¦Ç[/³õœ]ä8×UߧUý³x®/Õ‚¸ úÇšon>õ n¥õ*ó7äÿ ×û–·y]ÿz*-NI?n»Êò_Ë»J<­íZ½ý]ñÙÄUÄW„#ɯ¤ßmÁïÒ}ò·d„£áû)¨O†ß`±>ù©‚§š\•Žœ kíÃuÚßÅþ˜¿6¼Tô’ä6zèwl¾$®_¾¦‡U~‹G•Î‘›ü[÷0Ÿ(ôk!<¨rKÞÕÚC¼£zÈ×Þ§·|Ô֯¼¶Ñ¥~§þòâCzqë×çô=ZŠÃ6¾gӺɡKý íò¶£ù/|ÐnO½F÷ç[~ê7ùõÊ¿Î;åÍ2.÷~(G«/ë‚÷zwüu}òµKY÷0ÿ|¯e½Zå1|>ýþé“5IúæÝ·ÍŽª?ÞëQ¾tý¤µ ý¥úÁ\:iü{BDy­¿¾"{iëØ•Ï‘§¶“ýoäWŸž‘<íðÐ;¿4ïŸçµ49jü¨ãx í¨®XÞMó™âTÊïì;IÔÿºÆGðÃ¥—â{º&}ÿ_ùÆxûбøhþŒìÍp…ÅMÁMÏmÝ£Úá,ñ‹m¼,¾Wú4Þ6^$}ŸŸüáû#§ä#ØÏPϱ½äe­]]¯¡ýÊã̯˜Ù…ámšïӾƧ{ÿçY^ZW<¿0ޗΩ—âOóŸ€ÿ)lí«âóŸoþç·Ê]å­ãLÿq®Õ#>m<Öó}šG:?AzNë æ_RýƇº.Bø ÍsH©ßiýžê¥ùÒ‘¾ÃSíËpÅÓÃÇüAûhg¿–¯ä¹òɾD-M_-ÏÑè^1\®'O÷kb{"{$¹,o3üt®«ÖûFÇÖN}û^õc¸réþ­x.Ì›ÆrKžPåÄóH ýü.Ç¡Sø¡ÞÓ}²‹äwþ×=Ó£÷h)¿_ûs¯Ãï=¼]!¹î}úNå4îØ÷÷h¿úg%µ/ú®x«Gó»×£\È×W~åíyP‘×΃Û>N‘_ã ¼¿©zÞÖc×wûT$Ï¿üÉîm¤^þj|*ÿý]¯Õ/Ïï<–ó ÷9éñ‘7]Ÿ<¤þŸòJò›@÷¶7œ–æ}GR¼Hë ô^æ7?_ô,^«¾§x!ód'é÷⇼UÎ{MíÏ5­KQ½B¾´/xžüã}Ný¤x~¿ñûc^„ô§‘œ†+Z¼[¿ó|bzÝèÚ¾ ½oµK»·yQ¡së§ç¸ÈN 'ˆÌ_ËçH_` ñ«é¯é%µÿ<¿ý¨Ïíýñ4¯¦úä— 7SÜ°üúÈúƒfÿO/ÃÍõ}^ÚªrÖkØ_Óõ(Á³í>Ù•à>­Ox€ì·^Ûû€–×V¾¦wg©ÿ7¿eãN~ÈÖ=÷z¾ãuùî“þ4ùS¿UõûüR½j‡ö]À'·Œ_£cúãVé ]‘ÓäU½§øFõ[ž÷óÝžÞ{Úëù·úaZ߀u„š'ׂú¹¿ë£}€Ÿ@ú)>‘üQã_mä.ýjý~­?u^Dl¼Ìß5þ¶Ngße7ú44ÞöÝx’oª•ìöüsýë©àùÓ7{ß›ü¹ü_Ö½oß7œõ÷z–â\“Ïô-]'<¾Ï_û§úavf߯ܬý®ß¬ßyoÿ`žîsË{I©ÉQí èþG®Ÿçöi¾`óšêÅeãC\ vAyˆÅ1Èhí·î7ZœE¼_ä¯ý±¸Qé\·ÁOÖö÷šâ”èU£‹ÿÓ»¾ë9m}ÛÖ»_æñùHÃ/Ô~ú¿à†·ßâ![™Æ‰ÿíDÞZ¯’|öÝ»š¿ÓxÖçä¯N=â[®¯œé|!?ôZ»#?Í+}_¢ÊèìRèŸû€ÿðû:é{ÿu¼[¹žÛÕ~Û¼‡öW‹ÆÛêå@c¼®/‘]_¾à¿jÿî5ÕƒüñvÕûžþ©GÏ O›¬ç)©?$—øÑSbœdòZœ´ñ£ó£Ô¾æ¥”癿’|¢ËÏ'ÿÆg¯ßå¶xmß=°<Âðƒáû'›_¤~}¡uúŠËÈÏÑû?„RœTëUú¶¿!qúÒ©ó\žc»4O’þÖ‚ãûŒ­]ºYñ®Å9˜ÏKÞo q~-q_¯íû|{}_S~@ßiÚEóó/óö8ßýºòQ~dr×81ͯÄ]ùB¿Lõïý"Ò¯ýÝêW|»Ëµù»SÿüÒw,Ÿ½íþýKþ‹æÙÖ ÌK¼:Eåxxé”ùjô›Zßt÷ú×S1\LE÷ßÓx^ÖM«„»Û/}w9Ô‡ËwŠw /S|¦¼ÁüÙEê7)ÞÑ8#wý•üîö']Ÿúý°þåcõßâPÂ-4Oö=œ©\¢¿§Ø|5ý¦÷çë÷zÂü¥å_†Šþ¶~=žkË?IÎJoŠc컋„LïCsJœT½´ý°ú]ƒ†‹Ê}ˆçTšž˜¿§õÂ/ÿeÜ®œ¶îAùBG²×#/õ«ö§^›ÞÕyªòV»o~ìçûWüï¥k¸úð«¿u¼A.³ó ¯D÷^y%/¿õ-µïÈþm¬ï•>áÔožªóM¸šøTy)¯"?qÚÃü£¼5ß*ç j;êG|?Å×tß¾ïeñµÅ‰ïú·]•zSýù¿ùâ:á²*ØÇ¥³K}ò·„êû0ç¹|ï[÷« —›ß%:¶fóWõ¾_Õä œnñKüÐ¥âc¥[ûGúYñÊY§¸ëÎ?íjÁû{}ó«×4O†c¤~•Kí´èÇmOß1«ý°|ÖôüŒw¸ž}Ÿ×q¥ÿW¼Uù4º©þI?1þQ~zêy5_´üGæ=§÷¾­ã¤ßoªüi\ë9>Áïõ¿íSýü.Ï‘÷ü²ù0ý¡ñHýÍÛ‘_ô¦ê/}æøa¿Á.žÄG}¿Ðö+d_áÊcô«ÿH×HÒ<:­gú\æÿÊc~#•ãí¹û>QË#~¾êµ~À8Üz”/îÂ×â9=žoªzUåD¾Ô_‡ù_ãÿ2¯ºtÒuè#'Ù¥ÿ²÷/,NOñ,á²çª7mùüþüÞOñs¯àš[ßü±ÅE‹ëo¯nú[çÙô“ü­áWGÒ'º/ýÄ~Ð÷'êµå7„',ž>´n}êÃÿ›_þPï>?í`J~j—_Ê3ÈÏXÜHSÜ+þó?ýûù~žâù:¿á:T-º.dçfm}<ÕË7Û8~øÓÿx@Þ©óC~põ}þá{¯MmÝÝÞs±uÒ›œªWFÇê>–OÝ©ßK×»*½ºNXëY<=׆ëyߊ«g¥ëÙ`O§Äù€ä—žéÇ^ÏòÒ÷>OÝkë—¼Þê¾òý)¼¦õÚC—Î)>µ<ôÐ¥yjö÷óý{îÓ¯¬o4ùÉ¿P^Tå'¼yø×ÿU´s…0Þ·ýÔï.ªý!œ›Ês~)?!;´÷  —šÞY§<Èö‰>¿UNìÉ'øáÒ=Ñý!Ò—ª¯ö¿M•ëy^íâËåGø$Å—‡ïù%½µ¼¯´oþhŠl™æ¿èß•ÓôšêSüIñn:äWëø~¿rYžZÇ­ž£5?RèÞz„‹ NÜvõúÔ¿Ñü ù3Z3<”®ó’ÿ·þÔñ„sì­=}Wæü’àÉK¯ÌG½¯‰ØÑm—æÕáÿxÝçu¿¢Êz‹×„ã ‡‘?°ç§ë¼Õï{ú„oÍÿÐz@˜çQ?pÜ>òÞvýçùÏ3Ó?ù(ÎÓÿ˜Ÿ ?žú‹O6Þ4W÷¿ïŸ‚þóS¯ÎßmvÝp—èIª¿”¯i~Dy¨áÚ#Ÿ­KÞ§uãµ»»íÈ¥ë@´Pp0ｶu¿ázxëÑ%ù×Ýû¶XqšÔoüªŸ9¨àú¡GzSÚ]z„¯l=›üHéßÚ—kZ·±ÿ?´÷Öë5œ§F¼küÄ®[RÜoþÐòU©$o}.ù&ÊæíH·¶«óO8üx-­ŸÕ?\]å.ünÕÛ²®uë}‡Öô‹ê™lr[<%KçAÎóúÞგ‡\zÈ·ð¸Üä"\Qå&{û»ôhþˆŒK“ÛÞÓ’yºôÀ´ç„/IO6<§sAö]ÃãâçnÎó:^¶®J|̃ž6y¦ë±Ã÷Ýjiß{3Où;ÉYÏïLã×ðý[G¯rÔ¢ïé§ñ¼Îé3Ñ'[é^¬Eý€­—ȼ)¾q ñ½õë¸A=å/ñ´ÉAxÄü;Ñ%Iy€Ùé^¿Ê]‹;Õøfyr•¯ä1/ÈÄNikÑù«òÐ9K[/›¾Gbëó–|ä®í{Yú7•Ëâ¸~rïÓ94žW½Ú…NŠcì=>Ëv©GüÉß“:t¥_·œÔõ×ÏóK'¿æOíÿW¦qä\Sžêkëé­[κõ@’—ôÍ~Í_OíSôUóÚ#¿ù/òûôÿv‡®­{Vþ»Ô—ñÁy’ï@6údG>šÏóðyãc¸Xæ¡Ò»×/ó\ÒÏZÚ¼¥~”üÍ'µ<¬qHp»~¯Ãò\k'ôn¿êüV9Sùv|êú´éWõÏT?÷4Ï{}ø¬¨=Æ%Ó£Ðþpܬ½øÙ[pB]/¢ïfX|¨õLSÜ$ñKÇ­­§ý|_Ûÿ$Tþô?´î”þïQú|¯çþ¾5»ªíaÝ'Ý?½×u½ÈâÕOç΢ß%<²×¿ž žÛ¹nûÝÇNÆûªŸ±ÿ¤ïË}ä¸rüVä«¥Ò¹÷ß·zæGÅŽn;Їû|¯Çv&7ârГ&Oó[ßr`ÿ©½Åó½žù¤ëTÿüV|oßW·ïò“=˜ ¿g:§(N6< þéÒ;íèÿïÌÑ|îLãl¡wëѺŽ­ÿùðirþ&oº~Wéž·ssæo,þ~Ií¶Êmú-yâ ó_–‘ߧûÔ¯zMñÔü`}Æâ²ùߦ?ç÷çQÞÛþS¿–†»ÿêO?ÚLóy[‡µñœvå:ò†úÛÝç-ÎX¾”Ú =·ü7ýµutЯÛ/Â9¦Ï†»ÍмÐ>7õs—kâ—þZždqEèß~‘ݤñ›üjŠs%ž«ÝS\§¼-Í/Wùh|ÿ³s‰é:ùu±«jß÷þ‘ÿüÞ{¼÷«ÂúU“ìTòãK‡Î“Õñ¦ïîõ]ï\‹¿¸üa^ïó:‡ýðkzDçbk{ŠƒŸzWοâ=ºŸþÿŵÓò”oQ~bxŸä=ôåœ!~G§Îõ×â£ù-¢+vtùLýbÇèþ^r ü†õÈþ%ï¹ôÌ>é½w‹£6.‡,_«×¶¾öï‘_&xúE~ËúWãÌigñÕ¾ÃQùïïúµà}Ë;m¼!~T¾ˆL/,.˜Ÿ†ÿB=Ø뙞­[Øõ¡KþšÞŸlvûó,­çHœºõmœK;»†sì}åÊçð'œDóT¿»TûA~˾?u~é\²Åß:¹jQHy2;ù™]®§þ–ÚÙùZoú}½ª‡tßâ<õâÃ)Ý_ù«~Ѻüt^Äß\~—l\Ù]‘åIqÅ—T>ˆ_qÞ öGõÛ}Û‡0}@}ZÏrV¿gv}úEß× õN×Õl\åûžµ`<7üq¾òCú†÷?üšœ©¾Ÿßº,û-åóõý·÷à*±?„“iݶîw“¯tîÿ(y(žX>C¸IÞw6½jôBý¯¥ç3¥_”'Ôßú^H)®Ò¼ÖvVê“^Ñ/íCÑ~1à¾{Mç”lýÙüüß7ú!Ê!ÎbüºOê—,Þ~ä¸D8_ìäÊcçÅ gмոkzkëãDÖAÉ.i\j| q"ûJ×ÌO¾HéÑ8îõußø6º§}ŠÇiÞë~rº^EùZµ íâ—[¿ÈÕq9¿u†ôÖ¾cg~>}nqZü{ëg™[ÿô«ú'ËßSÿBúIón¸!üÞ¢Ž/ÄÓFOÎyׂë¤à/=³4ï¤gE}Š{æ·>òÐ}Œo†ë̯Ñ8µÿûy–ƒp"п| ~Þçòÿœq^Hý£ñ8ò×þËzy×õÜó–Q|¡¼ü‘Å{uœÓ÷¤êý'‘€^Ô¢qŒÆOòwÅsµŸoãí¯Ó8Ù{5ö¾­Í~ïêç›ü¿FÓc:¿rè„ù®[‘Ÿ$zÏHoªžù›¾ý|=¿õÅ_©=‘_ ñ¨ynÅg´®’úY³ÃËÄ×ôÃìpŒùÓ¶^<Ä«m~è}²/ó¯Æ·Ž¿Õ7üHóJãeùumoï9„q÷>'|jv)ïã`?ë¸ýÒ÷(Io!ÏÇï’\¦¯ÓümŠëHi=šüĹ®øÖð:­‚¼·á>ãSý'üXë}®•ßiâ•Ö/É÷Q|!œNvt~‰ŧË9ÌÖª²ïØøI~¨ë£u<ë~Œ|OšäD?_ÿÏd謨¤û”o-n“^™¿"ÿE¿º§h|•8yéβ8úñÆïÓŸx|@ß/]ë*ïÕÎaœkiãeûZi~ 8‡äÑyÜ«Ð]yϼµ«çÙÉÿÒ<Ó¾6éñé—·­ÃÐüúuCxÞô§Ô»ôÈ,O;ôlüN=9wåIãGÅ?5?ûkÏ©ÿ0nÚîÔ'çfÚ8Ð}‰m|ÌN«<éwÿS<™¾_HvJç=­_,Ž ~k×°_t¯É¾ÅNÉ^ï5ÔW{M×±`Ük‰ýÉ;;ç9­?]¥Cþ:Äm—¾é)ù?Z 8Eysoʳªþ‡ñú=gx Î ñ7~®é;ýiQÏÏÙy»*‡á ò§mc}Ó!–ÚÇ/~NýQí/á4oùð»¤G¾óKóQúué”û8.ÓøEü‹œ¾­K¤ë"6Ï–ÞkòÚ|î•ñK¿‹Dy§áP’ãÜ7½.ý9%îgmwî×ï™_.õÔÿË~úåöYå½×ä÷Í~¦ù,ùÍš·ú¡¿SÿTƧµ;ü윳åg¦·é¸Y<®ãt~ÅÿÆë´î‘®’ÿ°|—ôòoàWûƒúyî›ß!;»kýœÙä†<õ#”ûÒ³ïÂÈ<é9 ÂðÝÖ&ᶡ> Ýp_ í®¼§zûóyÞúWôñ>·¸gö~î×öæ÷O“?«ÿCQÇ«ŽgÊ¿å…Žå'П[ÏÖM/Ú¼ÿ<ö§ò»×‘=Òÿ¥Û¼Ð9m['´þZ\#¿°×cýËßp{ŠM¿>r\¾é{ñiÞy®-?9¯\„c-K.4ï*v~ïŸúÕŸÛº±­£Ôñ-ßͺt)o?tä™ð}ê?ù¯¶n¾žùZ~'úvëï"/Å‹äÂü^ãè°ß÷>õ[ÞA{$vØä°q¢øf넲Ÿ‡ã>õ‡½_Yó÷ô=Sºþôû]ñ‚Ñ3ÜGöM¸€ä¤¸hë´„ï§ñšæçгs™b§µh¾Mçõð ×w{ó£‚Wп˜žÑ|ѹ7²7Ë' µùøùî'é9å}iM8ºÊC߬úHvWêׂõkþ t0_¤ù óÈ{ðAm×è®=×ç—Þç¤þz¿ôí¦ÊÆ;Ã¥í9È_Ç£É[å³ÿÙ@'ýþÉ—æ‡èymoã üïóô¼Ùéßù­ã%ú—ö÷Ö?tìý!ÉãkixFühŒ“ß˺³êÃ^ß¿†'÷÷óxÄâ“ôÿÊayGѧöœâ¸½ODö@8Ãæ‡ôúçÓáù›ËðW“+çÔïØøØ9:ÂàßZ?(Îíõø¼§íËK¾üd^¿Ùº¬ÅqàÛèØ÷(çë<ÙúRõ÷äÿ*~¦xHë”_úQœÇUú©\õ;쇎½o,怒žŸ_Ê÷äýDíWÍËÒ8axÈâéOóç?_õ/ýO»Êßðx㛞ƒ¿€ü¿™ÞÑõGn*mÜLn9_ªþAð®¶3|îÓú1­ïœçf§žá¼"ǘOÍGCKÅöín=Âéºõƒð&ÍéƒÜWœ`ûEé:Iõïd·äkœ|rùÒû´~fþ›úuèý¯ÿú¾þë¶'œhø"]oNqéá³ýÍ¿Õ·xÎ+Ñ­ñDùìRÏð9ƳŸ/¾Õï\ú§>Í»Œ'ú’³ÊGöD|§y¹é[ÅQa>Çð··_´>e~(¼¾|(Þ_Â×ç9½?Gò~§~R}Ú&{!>u^iŸÄpáÊ(NU¿þˆ­_Uùë{´ž²Ë5­ëH|Çxi8ÃƯú9š?†óùÖ‚øïÈaq„ð@˜§ÞëÃÏÖU$®Ò¾‰åÝiüF?[éÒþvÍç+ýö=ÏRÎQ¾ƒ^5¼Dø¹êE}Nÿ÷GyÙAÕ'û>´åôkïe’ìõ}çÖ·<äßjiÞ†ëŠ'}úÞšÅÛ4®tiÓ|íÈmø‹ì—Þï7;žê‡¿Ð¹õ*½êOÎsËßêuµw¯+‡é?õÆ×ð°­›…qàÒKí¥ò3\Mrœç5ŽN6ÿ@òS¼'üSç οÄxæïÖ7eçlÓu´ú½­âW›ü„3I_Uy‘ù79yéÙ¹iOú Ö—smµÄù;åk»ð·8GrW:©\u\åÿ¡k!{¸ÏI?­¿•Žý_½3»û\ßú6žfµ?†ßlµ>?ã@ÿßÚüÂúµÞ•¿ò=×äGiœè{Eà×o=Y/ëþ`=Ëex̾·MöRóë)¥~Ñ8œç‚o»ÿ*Ž ?cxŽúaq±êøýF×ðÖ^ßòÒú_ëïÏ÷µá_Ò‡ŠW«<é¸WœCy,á¾S/Í/äþ¥Ky“‡è óCØ.ÍOÈÿ~®/=ÛGMótó+´N"øù?r®gz©›ÿÜHxQ‰ï^_|n?Ë}÷Ûô±œ_Ùß­íãù=Wy(®S^o¸Xò‘vŸúøÑú½ooûG„ó¨¿ç×üݧ^£ ò´zU®:Î’Ö¢óKñbj_ÿÈo˜¿ ïNµ|’ò¥z=ÄÓ—þt_†ÆÇÎYÛ¹ƒzßð4Ä‹V?÷½¾êÝû„/à{ÈÿÔ³÷½-®V:„Ÿ$5ú4pÎô¶?ò®%E~Êòšÿ6Î?õkѼšæ5íøñKÏÞ3ª×dïàOuŸ_põøü—ám’»žóMýÄÃ{ŠÇ —š±x¹××ï}Nãwê“Ÿ8ÏÓüÆò@¢G8èÔ·sZ4ÿÔ¯Šÿ«~¾çÔ¢qd¯çú¦ GMÎóKvAy[åCv^ç—ÎCWù̯š¿ ñ!ù ¿·TÿðµïËNÇ“üÇÖ£øAöSå­ùVÊß¾7GùéwêO½Ô®Óüqè¯kÁ¼äníI_h½ËìòààšÙ:ÝGÎKð­‹ŸçuÞ¦ëJ6‡Nù_t¬WåJ×'Òüßð$õ£¾Oû¹föKôªþØÿOq ùC[?#ÜMü,.Ðüœú’—ŸBvRŸßkÉóR?£xŒÆÇÆ—ü/­—Hþrå u™z¾Õò¢â·®iÚcŠ[!î\¹HßÅ>[{²·t¹þñ·ÿßmv²žå ~*)ôlÈæÓð8­ßÀw¨n=˯§øNðómWã5ÙUÅ5Ö_ÂG¦6OS;%¿¿¿ûÕä±uÞÓÞü$é‘á —£ÇñÒµkŠ·v~Bü1úgÒ÷½¾ïŸëò¾Mí‡ÍÝW»£¸bö½‹œ²ë7Ñ1= í¸õô©:'ŽôÞÚwKÀGå¤ñ²}¦·øšúú{o¤Égë4þ¿ ^¶ù®ržöVßâ(ø¯[âFŸë>´§üªÑµñžÊgø•ì='´Ž rÆ8ê]¾¨·?¿÷£Ò§÷…îw'~žùœW¾½žù§úK~¢ê›ài̳Ì™_÷l©ÄëØ0¾à7äoëUÌþίák°{ÃO­=é7é+®òÑx}ê¡|¶îEx æù>§|ª^Ówb ÷^ƒ~µçi\¿{ÛþÄ/½OÏ­þ­gøÐüÕßë«ú%šgÐK’ƒüí­wä¢ü‚ô„æŸö3€^¿WTU‹æ¥)ß²?{é[œ¯õé9Ñ¥q:ý’øxéQWëU9¦¸±ìsþçþú¦ê%λì×6ùë¸Y~h¸½õ{}Ëeç”Dÿ›…NÃkô~-ôãÖ³}¡ÏÖÂëè?ßÏ)?¬íèÿºàÿ ¯§?¶Þbù»½ÇAr7?²ë]¾i^DzaùVº^þ¡«rÕñ±8G8)]ÿµ|€æ%Ý_#9í;¡U¿Ò¼ÓòƒâG.”óçû¹¾úóøó8Zל®s™ß=ý9ïM×8L¸žøIÞ…v*q¡Þ¿×òEŒËk»ÿ½¿É‘¥Ùµ±üÞ9G€ÐDªQPCÝL¨Q=¡ Ž f¡Pj @%hª]2}3¹ÿ^çË>Ô'0?¢~£oéÚç Hÿ¬®2ûR 4>¾Ðÿ¡–¿÷Åþÿ%ê°ø¢ú=óSVçŠöýà›Ð·€êJº/AãFýŒÅ/1Z€ÏK˜>Úc<ÚÏ1ûÏÖMdüì:˜]1ù]øØs¹×utÉïÖkóÈC/xE{€rzyŽóÓo?³ÿ¿BâÀcè¹µ/Ãó3–Ÿb=‰îÿÅ:ëʧúœÒÚß-y|&ÿg òƒüàëÓç›ä_ tŸè?Æ=Aº¨ïüñeþקûùÅ?Øgfw,Oþ_ƱúÓòÏøFþ~Å)ö{–Ä®_ø~û¥$Ï<Æ©ñÕ@NŸ•“­{Ñ÷“Ð>™ÕoÈ_³õðº/@y ØÁ T—±¾ÇÅ7ú=^Ô_ãÝ Ÿ(¯›¸ûBõ;“ÏA õ ~_®ÛüƒðØ>ªÝ§úÄ‚ú=­>¯y¬Žëõ~d·ö÷vP}dëR¢gH‡ÕÅÈOÁsbd»°zµï >·ô¡Ý^xP>R÷‹èùšk<ËGV¾ˆ/Öqê1}½ƒ|ð˜Ïò+Ù×Z<èó ¿´ïüóõõùç;ùžäã3ëO“ýÆË:ÈïØÙ~ÌË}ÿãQ ýiZŸ_óØ÷yY½ò}ž‰åMûYíK¡:Q•·­P?’Ùª§¯ùìûϬÿÅä‚ò›ÍÓ?LßV6_אָë?ñ ñÚ϶~¼èÙøÎÞYÜUíÕlŸÊä«æIÆ/Ú7[|ïc<Ë{vü…ÿzguÝ5Žü>Ãc<[¯¡ûB'Û¿Aõ$òkTG±zåW{=÷z½Ûﱩû(æç~„Õs¬?hÇ[:ÈϯqÈÞU¾Y=ÁÎÁõ>Äý¬÷Ðÿy0qé…?G‘_}þ1òÇöËÈNÙú-5Ï£ç©ÑïP©y‡ÅCõwÔwÑþè>ñZ'ù¾ócY¿GõøÙô¹fW,n“çÙ}Ëô¿ëÐ/>T;aq ä?¹þAßg²Ï‡ýÆÿ¸OüÓͯ¨®dy“7}š?(~<ª]±ñ$oÑ=ò ŸØÿAþƒž[¶úF|#~ÑïdXy~™û¿?³ç•h¿†Å'”Õ¸ò9ú½rôÿ¨,?hÅ]¶@ùZõK´Ÿõ¥£öm~Ø>ášÎñÐþ›ýΰï_ø1þô¸níõG.> ?Aöˆ¾'Éü­GÝ—¢ú Õå¬.Pë¡d^~Ð1|Zú/ãH\~áÿËÇâ óO >Úo™>òã:êW¸û‡ôðõéÏéÙëÏ^´buÊ7ÌþY½ÄòÊ? ïÙûÐoѹ«¾ÀuÔO²ãíg’Ïøl@û¶¿EyžÄMTǽÄ/äG×øëýe¿g®Ãzýן÷_ø0󙽑|øàÑë3ØgFv‹êtþBônîûY]iåÀòXÒŸa]Ìè3ûzzYŠ_ŸXǽÜgßã~üÏò(ÛïªyÕ#è÷¾>Cz¸žøü/Zê'3y°þ6©óáºìõë³jŸH(>[þÙsÌoý¢üƒâ‚˜w^ÖäùÇ®#;EuúÊg òÂG±Î~àAq‹dŸ¿ÖÅÎ_TAñÕKöûA¬?SÝÏXûfþ~#õ3Œê>…ìã^òÝuéÛòýûóƒo{nhäò²>–Ï­=Zþ˜|^&w¦w±~¡v ž'!:–O´ŸBõ\2/@¹©ùõo‘]£üËô„â,[7ÇöajƒìCí+¡~.²sµ^Bç`,þ¢ÿ†â¢X?Z qå-RoѾ1«ï¾>Ýëp<ê÷eëÚl©ú3²柿éX€õòOûý6£ßÇ|ô}óññ"T'°ºNŒó0Îغšôm]óÀ÷"ƒù‹›(°ßBxísFè{³¤î@u2ŒW¬NEz¾ðØß¡z‰?¿üûhÅÎgíyéo>ŸÙ~éå©lÞëiÈ/ú?Œ¿¯Oë[üÀø€ßûùþIλéþÙ3ÛO¥Ÿsýõ'ÿ¬®aû~ñùŸÑ÷ŸÕ:éõyQü`ÿžÔ‡úÌQe}uúüÔ矟Qþúúüó:Zwöÿ‘zä±.Æ7‰C°>cû*?˜¿Øü…âÒ#á»ÞQ¼cõŽåû7¾Çx ï—ûLîêþ‡Å=ÒW¦y^ÄóXÛ¯³: Ùçק‹‡å *¿Pþj]ŽðUOÕ^g} âW¾†û/`ït¿…⬗?ýqà÷%á»åÉQ­ß¶.V_X`ñŸØ%Œk}ûnëðìÿU̾g÷SŸÌoØ~ ñƒž`uÄõnå…æ³ý†Õ»õô<³W7,߶.Ï«>øf¿«€â Û±|êVÈ}CbŸì3­[P\Fõ5‹+ /€ôñÀ‹ê]”oíºXÝûR¯ýr?Óç툾_âÙ?@ÿDþ~wÿÁ©spýúË¥‹ðBû²×¯w–G~{гx€ÛñÏ6n©ògu Úw\|¾Ô¿þäÃÚ›ì Å”ç™ýªß£ûº$GR¯¾à¹øç—q,O3ý’<ŒÆ¿ð˾gjùaû^R×ÛÏ´@y ù¢ƒÖ§î[Xþ@qG­ï‘ý³yÀ|Øøؽ>Õ8ežC·ú´€òâ˸j¼dùÇÊ›õ_êé_à:Àgé°¼û{üƒÿì~É }¯ùáuÉ“ù)³;&dÏ¿ùzÁgÖcï?>³úZ¬·¡¼ ”žÏâêw°s}u¨»ødü©rEû;{Ý®õ_Q=ÈêKdö<=Odé øŽÎ+‘¿X: Ï©ðâ_†[?ªyÑê<Ïñ°ü†öÌþ}«ùÙ³µK3®Ùµô€ôõøÌΑ‘8Oó_¶ûúôDZïá"¼¨_Êêm¤ï‹?oÔß-@ü ý€sÒúHžìû?`ÝèþNô/ˆó±ñ×zì}__ú<Ÿ Þ ?¤Nz|Fv‰ìš|¯þ…•Ÿ±OˆÍcùÝÚ/©7^ú®¬Þþýwá#û›¼Ù:ê¢s½£üÂâã‡Ù+‘·Z¢ßYC|0~QßIü>ü|á{ɇ¿üyh¿Eö§4. ï÷³<ð½ÌGtAÜ¢óÙ÷³ùîëóÏû ¿Ñ>:“ûK/Èÿ}}™§®å'ûÙ¨Ÿm<¶|Ùï[;P¿táùáežÚazfëeõ“/Ô¾‹¨>CyÙ5¢óõéÓEv~¿åqñ…ò;«?Õ~,8Ï ß 3ü¼ð˾f×cç©õ°íï]x™}±þó›k<«C­½ØyÌ®A]já?Š'ÈNÐs0l?a÷ËìœÞòÉö_Ÿ}äºNöáЯQ|#ûÑÇ8ÖazíçAOü½š>¿>ÝÏ0"ÿ°xªq]ýÌò´Ú2ëxðŸ}nG¬÷-°º˜Ú'ŠŸv=¬¾"ÏÁyÌnÕ¾êV×ç‹ô½J¯í¸‹u]èw]Ðþ_­S@œ{ðÍö%ì³ØzÐö+Û ë'|}†ó`>eþhóÊo(Ž wï˜oÕ~í5ÔØ/~ùãÕx¢Ö‰,ž\ë@ûe»NæwÌoXž€þù+Æöoöåßk½bê$¿Çýkžý~ ØÏyÁÃ~¿Õ®÷Z—õ»/óÎô€Ö­~_Í·×Íÿ׆ÏÑ9ÛÏÈî^ð¡|Íö¥âóV/´?µò´öƒö{j=Àö—èóÅße‡ö\ž?ÿús¾Z¿ƒß‚öûˆ†¾õË?‘£”÷Í÷ ×í¾Õïb|{àµùŒÔ·ÏâólÔ~Øó(ªÝY;øúôñXºª\ø^þí¯?ñ©yÞÚë¯"ÿW÷_¨ßƒâüõžÝ'¡çaPýîoúϨþGýäç(n°ýýo~`BvÃöYÈvÇú7(_Ùñ¶/ø`ùᚇòÊGª<ìÿY¶ùÅ]Äÿ…ŸÕÙHÞH¶oiê“_ÉýÔ¯*u‰ìüÂæ]v„êñl?Ù—½}¶zE¿«þRw˜ëÌØ>‡Ù9ªWÙ>]¿Ö«òÉöWÌÏÙïÕ«û:týZ³Ä7ë 8üüu?–­¿ä8ÃêX´ÿPë‚ËÙ÷ Kïñ™S|}†xa¼ºæ½Ðûôç[üèÿe}Ú ßÈîAê1_ÝOÁ¸ñˇð?®³ý ’;:?DõòSÒ>€Ñó²¯ßã ÞQ]ŒG–ú\BÑ >´Vó³k”oÑ÷Pü#uò ]Ë/û?]¾~Å|³zG•û¾²ˇý,ê‰þŽ2ˆ§l]/÷Qüu¿þ¼Îð#?Bñ­«ÎaûV÷¢üÉây·|¼ðÅìŸÅ¤?°n´8Å/V¯ý¾þ2ÏÖ•ÈŽYü²vökÙÿ÷Ãäõ²¯5ëBraû«GtÎiOÅ+–O˜<Ѿ‹Õ5¨OJê¹îÿ=î…o´;^Kjߎùëoú0~fû  ³û}ˆO´NT§¡ý€Ê?Š/Èÿ¾>c¼È.Íû –³¿»yñÉì‡å1ðû¹ä<óòýÉ?ñÊõ6ðï=V7²xeð=ð²sikWhŸŠô-þ~¬“/¾ì}["{2ë²ðÂ'ª£¬_²þò3‡¯û¤ßô"wô;Á,Þ³þ)ó³kœý˜¬ïÀÞÑ免¸…ô~WÖÂkøëO<¤Î´øyü1üÃïg>ß½Ä#Ã:‡%r}\Gö`ãûþ7³ï‹>Û· ¸Öýà‡áAõû?HÖ\X_ÂÂË|+dOd¿÷ÀêgTç!:(¢úÕ§×g¶_Gõºnù°ëBu4û¾ñK¾ûåñø…>Ù_ØñÏ@ßûhÿHìò‡êq4_íS°úÉé÷ýÇ<´'õ*ä õIˆ¾`ü!õëËx?Ùy «g] ûyؾÙó8ìwPü`ñ‚ô—á÷n,t]­ÃÐ8+TW\ô¯w4ïå{@æ]µouŸ¨îƒ‘½\|¢ybœ‡ñèõ…h—¿Üùlÿ÷;j¼Bù‰ÕÝÖPÜø,ÿps½ƒù<¬^óÍ×lVíÓØy×óÒè\Õ=jœRÿ¯ Û±~ø¿öÌóY¾bv‡äÂâ ʇìwHù±.DÅodŸ=Kõ_P|fò°ëbqôoùSíŽý~âŸåïÐúˆ}>®«ëdï¬Vû¾ö÷ž‘>­|Ñs7¤Þ|ðÎÁ_øEôYÞGÏ°ý Ó³{ûû­×}f?èó5ÿ÷ûƒ_ò=6ö™ÅÅÇølÝüÍGùøëóÃy߀üÙj'`pÜ×g8æ V³:ÙæV‡™ºâe]×:lßÅgR—Ó8¨ÆaäÿßDŽuªub±Ž³t,ÐßåPåòõécu»ºÿbŸ³}æ¯ö¾Å‡þª˜§`œüX ~ü"oÃ'‰kè:²;žîX?‚Õ;Öÿìy¤ú}hP=è]|ÙwÔo@ûað{O(o¿ÌgqÂày\G~oë2Tײý›Õ3ûÿª†OºFû–ßx×-^ ïÇxV·]øÐóè–¾ZZ¹'ë×qh_†â¡ø¼À‹_õ<>3}Z>®Ïêù/â+/~X]Ãö™ÈŸìzØ÷›Ä8ørÙKò÷Oå: =OþÏŠê> Ø/äŸåÙ‹Ö_õ׃.zîÒø=â÷ñ™õéY‹ò.õK3îºêOÚ?RóŠƒ(O"¿Aç×;â7['°}¨+^ø¶ü¡üÆò„Í“äy‹Þgv‡øò}Œûúüÿ%'Û'²ü}™ëjžDñùÁï÷c‡ë(ŽóºŽ+n¢ßçû¹_Ãâ?‹'¬ÿõéòóølŸ·bu§Ú·@raq±¸o{àWó$Š;bùe=ÌYþÏ9=>[?DùœÔeH./|²xŒä«æ=R¿=øa¿ßÆú/èyBT7eóØ×?øó0æÙïëÛïÿ>ìê—ÏÕOÄ:ö#‘?~}þ‰7³ýó´¿GòA|2ûdu ÓZ‰GŸ‹.’«åëúŒöìûsd?…¾ÿ÷²–—X>aqÏ>—Ïâ.Š¯¨N0ÏËõ?óSõüLíoØxwñ¥æu´ÏSó½¥÷¢§ßøl?=mø|\gý\û]·üzr¼A}d?P¿„Å–¬þY~Eu%Ú_ ý¥‡öÿ̯Åýóßµ.û»x Ž£ý´¿dýW~ã¡öÂøa}„‹ôý²>•/tŸÕQh„üŒõ¡Y|ÿדæß‹¯}<À_ð1ÿ½è!ûUó†ñúÈNÙ¹©“¡¿]ë"vH÷¿ñ¼¬G¬ÃóÐxçÙ~_­_ȼº î¢òEyéýºÏú ¬®ÏÖujœgøQÏâûÝMû™ýŽ ÛŸŽÖÉ îzÁƒìÕ¡¬>÷_Öcâãã:Ñ;Çò êÈv÷ ‹ÎiÀ¾—ÅÁ^¦_TŸ£sûǾä÷8[×°üìõÁ¯ºŸ`û—ßóxQ|GûTO1ÿDû tÉÉÒ»>3}“q/ø®w+¿ý~ºúVßÈ/]€Ï‚¼ß!ùóÏ>oÂê@V‡!€õðŸxóìxtîÉöÑ(¿]ãÕý0²VÛs§‹.«Ã€Ý¿ÐEû[O²ßÍböªÚÈÓ¼–/´^Ö`õŸkèwn¾Ì;ؼ¬ƒÔ'0>¡úCô[xý¢cë†ë:Ù/°ëÒqèëO¾xØ>íËÐïH~ýyÖ}ö¾ÝÏ¡øaå~³çª×}°ŸH×· ¿ˆ@Ý·Cz¨aý õûsê~íÐsŸêþ™Ðy¬Õ3jÿèENŸ¼¿Ðaq€­«šOÔßEgu,ËÛˆîקÏ'ò¶ïBëbõ%Šïà9Ý~Äú’ýžã ]O<™Ÿ²ø ë×åééw½[þØ~šèñ å…ø°q„õQ,^ö{IjÿÙ'ü‘OŸ²¿~|¶û”g³ûå‹Ÿ~ùë³þÀÞžá ÿì¹fææþãú5ü_j7,¯°|š¬ß-0z/ã®u0~ªvæ±úõe¿ùéßW/ØÎ3ã/@~`ÍÜWûN–o$¯ßã^ø4ûü¼¨~fû ä,²<&Ö7Tÿv=(ß~™yHÎ(^"¿arQë-@ׂlߤÿû^¨Ï‹ò—äï±N²Ÿ¤öÆâÈÅ7Ëã×8ƒ÷ÁÕZ}îËùAýO»N†WÕ#ȇ`øÙcž©×™]°ü™|¡ûõé®ã…>£ê‡L?È.È~òËòªš·Ñ|¶`vÁöyv¾=úúôï~©ƒX½ª>_û"§_>¦_5¾ÚuƒzüÁ/̃¿ù|ô¿ùôß/ø-_b=kíëqÙòoôýìë3‹“¨ÎE|£úZÝ°|ÎìÂì_ü‘¾ÉË:ÔçǬý°<„ö‘¿ù€ú÷-/ã‘¿^x˜þYÝŠìÑgúCÏ/^ü"=¢}8«#¬<®w´Þë>ù¬…Wýûëy™‡ê —Ç<¤7÷l¼`ßÇz}|¾øD~ Ö­`?JëJ”ߘ\lœ»òÁ…=Îâú?ÈY#ùæqå]Vw‹}Zß±¸Ïôòú=j’?^Æ'Wð%ž þ‰ñhhêþ–éƒåy±o×ñõéóÁüÕß; ïy켞äÏú`_ùDy™è÷1þëóëP>H,O±úN¬ã_ð›çÚ×mŠÖqÝ'ññ¥Ž³óÔ~ ҧɗ/×E~_è’ývv¾½>C<Œ.ë‚>à ]ô=hdw>ôûFö¹P±>Y‹{Hâï/=æ!ûQÏ Ô|mù³ãY^P¿×zá5ë¸ú-ªÛÅï#§ëä–5î s:ŸP>DëUŸß¼ø6ûc*¿kž}¾ÙŸÚ?CþmùBzPõ ýñóÏñŒ®?ÈþÊѵûØk¼µ Ûg¿Æ_¿[øBÏW"ÿFzõù ?èw¾P?íç³û7¾>}¾¿Ì}”X?ÅÔwgóQ\eögýÀêéƒòú?0€¿ú/ÒÛïûÛ7°xöª¿'óöÿ×^øcu7«“ß\ã¬þ_P9ŸúÚ5ªSÕx{}ÎÆi$Gðý‡ßh½ÈŽ¿þÄ'Çgä¦ÎxÁ‹ä‚ú•@þ¼,O‹û]DßòoÙõË}ô|"ä—ߨNAúOÆ—Õý&ÒÊ#ÙyÅzÝ´{Ö`úAŸ³ùÅkqÿü¸Ïž7FûJ¦_µÊ~ÿS•¬Ó~¹|<ÖêU[g²ý¹¹žÖ+ªƒE;dñÖeì÷¶Ñ¾‰É#û{LNHo(N¡:Õ½v]LÌÁï©ùõ1àevôrù«[“ñë­ÏÖìy†¯Ï?ï³¼‰Î™Ý©ý0”/²y]ûÇ8TÏ þíuðû’üj\Cv†äÊâ–}¿è"¹€ç.ü¼ì~ùôI½òÀwñìâ1ŽÕ' n°|£Ïö:̯¬¾Aü}º÷«ÿÏâ…nw=Äò½¸¿£x¿ö¼ùÙ÷Òù_ŸÎ#ý×XþµõÏKÝöËç‡í›Ñþ õóÔºóë3æå)´~+Ÿßø!_Ö?Ô白ÑzÀðöÕ–où9xõ{è¤>²÷j}¡î3Y\Qý@­ÿ¾>ýqì9fO@oñ×u_XVç>hÑ»ðØ:ÕmL/j}ÁüN¤o×kÚû]Ed§Hïê>‡í瀿¾¬ÇÚý>ðuÝÆCµîGöG~ÖŸhÝbýoáóÿè£:ù;Ò?°“>Pdò„û´Ïp>ôcT_\÷¯wäGHŸÿË:P_—í íþÀžƒŠ}—=$gÓxÜ·ó¿>ÿÄ~?˜<7ñBÿÁ‹=Ùß7Vë-°O{|Fõ ÒòoÄï×çŸóQÉòŠ¤gñ<>“ý8Û¿ÀþŽÚAüƒÿ'Iã ʯj~f¿¤Ök6π￾ÐgßHÖ¿4nf¿W`ŸEzÏc]@ýÅ[ôý2²†vnëˇñ_‹ÿe=ȼм¬~Q}ÅòÛ¯±ßmEyÔÒýÓÒ|Fûw†‡Ã˜ç¦ ^O­~Ùs´b|¶ò‡÷MÜxáË>—Ç~ïÈêýβº¯¸î#¾‘lžgqûñL>Íû¯?ßQ_Õé×;é¼ðüSý]&CÿeüK\ôùdÿ߇>b¿GEê{Z‡±x€ìCµ+rÞóB6¯£xŠêöìÿϱv€ìOÕ‡ºo%õ3ªÇŸQœ­îç²ÿŸG݇‹r³ðâ'¨nAú½Ö‡ì“ÕId¿@ŸC~òãK­«Õ:EŒ'x?òëÏÏDÿõºí1Å äoˆ>ùÔ<¶/ÀäD~Wé±b÷ôÜíÏXÞ¶|¢øìÅtÿšoñ0?aù å]K‡ôµøÌ< 0®ýžÇàaGàwÇaœbö…žŸSùå{Åæó…Ù!âõ¯^l݉úÅ(~ 8yÑEr@ñÙ>ÏÃôìšå%”O_úí¿þ¼nëÃlÝ~ÑAÿ·þ¢‹öfrÁK]">wKýù+²c#§:ÈXÝNúer ôE|‚¸÷¸oé°üø’_ùxYÜEûVö;œ¬îƒu…ÁËøûöêó¼6>¢¼úY<׸ëÉ—­ƒÄCÊÇK<ûåßGtXoñ±ºéÔ›h<÷‰–/öùeݨ®2vóÀÃú(o úÇ®œËZxYªƒY½âÛ‹ü?c|(O!9 ý ÿ7ÿ'œæ'ÏíºìgXo¼üþð/Ÿ?ç®qì98›¯PÝAüýñÙÒCÿG‰ôø®u¨yÕYh>ÊŒOT—8 ýเîk>”·¾>ÿ}FúõI¹ÏcíÛÚ¡ý]B&ĉ<äí1ÎÎ#ñù1ŽÅc´ï»ÞÉóÃÔ>Pž`¿ö‡ ¿©|^ëaû ËŸºŸ²vƒêS5žzî±.‹‡åy¿H¾|ÐE}ölŸÍÚÅ×çŸ×¯Ï¤}àgñ’Ù߸Žäù²_7óŸVnö9„Ù¯PþCûñl}Ìž£°u.Xç =ð;/ã>QýÂò)«wA>ƒ|©u"ªw€?¼¬‹åq`'*@;Rë—²ñëëó?ÞÑ÷Õº‰ØÉã:à ̓öÊâ!‹?j<„uÈ/âéûâ—é×ÚÇ5ÏÎgu5ê·¡øcé³ßBöˆöMhLÏHìüÅÄ9 ðÿJ ¿Ev â]ûË|/H>¥ñ¬ÃÚÏ ?ˆ_†å ¯X\Aïöy°ÿµûb×gðÿs^øCö“ý]Y¶Fxl?[ý¾å×gÌ¿èÇybß‚Å ¯þðËÇGê ´Ž$wtn‚òƒX'½Œ·zDÿÏ=GËâ*âÇâ½>Ûï"ù_ã ?/ë³ãlþA}<æ¬ÎGüªq øáƒÞKÞýåóqÑEù›ù+Òû}ï‹îï÷ßöùÀѺÕmÌ/Ù>³º_Añäâ ôSãHÿWî±8üñ…_;Õ}¬N6ë~ÐñÚ~†~qñ™¬›÷ÙþˆÔY<ì|‚ý¾ªÏA½û˜ÇìŸìWàu–ÿÑ8Vÿ'÷…u¹[x‘xŽÎW÷9HϨ¯ÃúÈ6ï³ÿÛÊò*É>T?eñ”ѵ÷ÕzýÎ(Š dÞc]@®ûd?ñ‚çëÓ¿üÔøÍc<Ø'X€~váW÷Eìí—Y_ŽíÿUûf|eë¶äïF?Àu°ýµXÿÑ}£‡â­ø»Ø/ëüúüó:‰'ˆ¿¼HHŸ$¿?>«y-ÙÏx\Gß{azGúFö|}Fë¸îÿ®Kü±¸ËôCê` òsæ(>²ó·¤žPÜ¥u´ýÌ~Å£ëø\<ßüÏCrc~Àò‹ÓHn ßïû~Þ—õ€üg®[ý¿}h}ÈßÐxV©Ï¯Ûzä×Çx¶ßA}ä'èÉCóÈ=±:†éSý=m4ŸØëc¾åüÿ÷ÇxTOÙwÖ—a}^¢Ëÿã3ú>É—yOæíû¹ð ¸­î³­üÕ:“Õ·j}cõÁâ?àŽ·zûÚ—ùèw¾-~Û?Eÿ¯9û»2h‡ž³gò°ß'¹æ±};Ûg²¸ÎÞ‹ý9Ωùù¿Õÿ×ç¼£ç¼Pý©Öh?‘ÌS,?[~áç¤Ü,¼ÄcÖ?F|[»¼äo¿§‚Ö)Ö÷r}cõy½³y¨OÅÎÕ²¿ ƒöhÿÊøþͧW×™="ydõú0>P½ò#µwòù‡Øß ½ìz¿>]¼ð\ÅmëG¨¯ä&÷gì}ôÿQ=‚â¬í_óØ÷°Ù÷qXŸ£z‡ÔÛ/ãP\ºè 8„ìƒÅ!FÇÚ ²g]öûfV^vp¿ôëÏÏú}T‘úÐâ•åìížØ9êu}ûå÷{ >V¯0ûþùÀƒâ znêÂË~‡‚ýž&Ú7Øu€üˆíðÓ¿ü‡Ô¥0~ ~Š]‰›²ÛdÙ¬ïT¼,o°:õÔºÅ6|?äñ9»¿öþÀÇ~›=GJê! ôwóiÝúù'>Ò?x\yïóOº¤/òÂÿקϯY×c²/öÄ—Þ}ýú“O–OQ^c~Îúâþ™ÖÓ"èyÕÌÎ~ÏŒ¿ð¡8Àú±h†OøüW6€|ö˜òèã¾Ú@yÊögÙÿQÊÖ;Ñ?l_ ø¿ÙÙã>é<Æ¡õ3=«v¦®[ý ¸ÿ²”×Qyñ‹ìÕ‹ª¼X<"û„>lÝ„âˆÝ?ƒçwãY¼ëœ>¯È>BÞÿ’øFûKÄN_æeù·öm÷él?,Ööþ ~¤Oõû±H_Ÿ1~Äÿ5Õwd_aA­çãEþY}ô¬‹?C:`]¾ïr}V'í¬½»xðËöƒ(ÿ€u¾ÌGyéëë7ßöwqA=&× ÈOm<0þoû!q–>8O°@û0ê¾ð¢âˆºÏDyõ=Øy ©7©Ûzý>´žk@qŒ}?äO”ß|2ù“üþ‚‡åQußÈêB”LŸÀò÷ølüÛ”ËãVÞ¶NB}@+ϯÏ?Ç‹yÞâ“ã°HO}~ á#ùø1ù'9…õò+´?Dñ<ÇCå`ãÀËïB}þ9ù#ò[ôûø/qÒçç1OÌð|]ü/ôHýó2þ7^¹/`Ç]óm<0xtYý‚ê*V/ªýb”×ɾê1N­7D{AöøÂ×Å?úÝ<µî$õÝg¼ÔIŸ1~R'¢ëÔ¯Ôý‹oàºê?¬~¶yÈηý0f(Ÿ¡x¬þ_ äï¨NCþ‰äìäëó7OÏc}À¿à}æ—Lo×;‹ƒèÿO±ßåCñ”ô3 ý w„ýŸ0T×\ô_äwNiÊÚ·­o‘«çw¨ŽcõÒ“}gvfÇ©y—üNôƒï ?Š¨NGëµóŸòÂòS¯P~¶r½ø²v€âSvŸÎú€äyyú<Õ?û=#¯¿/Êˤ?òÀÇê.õw¯Ï¨gÏëZ|ì÷,X}†Ö!Öëƒåˤ‹â²qüƒ®]z®ý_{ž‡úŒêþ‡Ù=Ø?<ð øÌäÇê\ËÊ=^øKî Ì>XÝ`ùe|¡¸€âÊ›ªœ­¼Åþ'äÏâAÏs³ßÓÈî#Õý«Ð~íGìz@¿Úòcäj\eñêZ‡š7¯ûÙ8Èö礟ñ°}=©C^ødù èƒá©¯‘|ý‰Ùá ['²8ôâìõŽâÙ×À¸€¾¯~_Æ#¶?¶ôÐ÷,AÞ|Œcu£Z_Û¸ö·ôùñë>Z7²Oôã‘^t^I>}¡¯âCþˆ¾×Žâ)Ëó,o »»Öþ?•Zg0¹_ïl_Æêtuߌúd_Oë&Tç^ý8³žÇ:^òÅ/ƒ÷Ógõ…üÐE@ëT/]tHã0«Ã_(_¨uÚ_!:è\ÄoûòÃúv¿…ú+h_cåjã2âàgõÆã³÷ûÿþyÅs–÷Ùÿ“Dzcù ­Å´^ßÁz,°xˆò"ŒC(ÏÚwq_ûà“ÜwÑ!ûÍÇ<–7YœqâqÅU”Yý ôJó1ËHïâ¾®ù «;È>½#þdRë”?þˆ^^æ£ý«ÿõéã%u\ËÙýµÃOß㳡«îc÷‰]Ã:ôx\ ?jô›ý}ö»|Lª©õ+»oÇÙçÎXý†üáz·ëVŸ{fuÑ%gö».|¶Ž¶óXÝ€ž¿µò±û*Ë/Ó³˜äýŠC_ŸázŸÁÿ‘@öó‡ÎQüBõ+ɬn§tH=ù˜ÿõùÇx´.y? óí¯?¯“üù £úïµRB»bý~$?´¯böhñ£ßû·ûñëÝرü;@Èï,Ì>UWñ¼ÄµÏxž]?«.¼ ß>>«u¹ßhŸÀê'Ä7È–o˜,=+”wA_ÈŽ³€ê¤Ç}ðÜô‹}þà¾=ïmó!Ø_"þÑu¸/IÊ{øw>Ð÷sÔ¸‡ìÚòûÒ?øõ'}ú{ ¿þćÖkÖóÂëÛ²¼û›¾yÿvñoð°ÿëxT÷£|¡îË|¬¿¾á ?È>Q]€êœ—|÷›ð¼€ý ë"â?<¨O©î—~ÁïɾÌûúôé=üç—´µÿgAÖ/Š»$~ €y}ßÀÒµy=níŽÉOò4³KË·]Ù\óªoØ~ŠÅ;5 ý¨àùë³ >m] äbñ@½¨û1qßú ‹ž‹D~üÿÙ³ÍÃì¼$Û¿ÉÎ'ÿ÷ñe?Eì Ö Ìï¾þ¼ÿ˜ú[†o ¯ÏþòùFÿ¯ä×þ¬ ù|™u»D€ââ ?(o!ù¢y¿¤þI÷Àç¼ N°Ÿñ:>søQïz'û?úœ³ÊÚç³>¾Xg ¹?Æ¡8bå‹þ_6xñX=xå=ôÿjØïsк Ì'û—ºWÝß2» u¥VÏ¢¸ó¸oÏY‘ÿ}}úx™?"ýªûSäÏVÞ&þZ rfvl÷q⾂ê›åk¨ßOòà _,¯2ûµó ?:Ì>Ñ:P|PóÒ‹|ýIäaÈ'ªOíúY¼Ïž{0yû…u¨k÷Q<ýúôï£Ï×xÑÞôí<OlÝÍ#ýõÆ'Ú‡XyÚþŽÅ‡¾ßìó…Ï ‹—,oÿÆCé ïÓ_÷Q űžBu‚ý¬úýË<&/T'";ùæA—ÕíŒoVÿ"{ýúô¯£~ùõŽê_ö{(Ÿ£þ ‰GÈ?h}aãÉc/ôÙ÷1®wVǨûJOìõßóàgdo†ÿÇx¿Y=Äü—ðógìä…?¶/û=æ”wÙ÷@Ÿêù—˜¯xý²8†¾—ðõóaé¨û„Å5û®Ñï»°ó ×  Ÿ£þ½åßþþúïw j¾¥ûXç†ãŸA=ú¸ìË>«Æ1’'_Æ#ý\ü¢çƒL^…ùì÷çº×8ð{§/ü ¸@ö1tdùañ•é=çÁž{„yõ3äë?éÿrÇ=î³þ/ªï‰¿¨û¤^¶obtÕúO}®K­¿P|eòAû-uªÏP^­æ}$Ë/ª7Yžã/[ǃË—*oû~ÝGþaó¯Å‡ò±ýÌêiö|6úŒÞ/úìÿ²‚ý›åóñ™Å¯‹.ÙO>ð¡ßùevÂê «_ûûçÑ }æ*?ÈþlŸì3å:‘ñ ~çúñÔ70þ²xž›{¡‡è°çû‘¿²ºÅ–ç™?¢>‹S(Ž€<úÂâ+û;WŒ_Â_ZÏ Oð2ßÆcö;$`_ú©_&Ÿ /’ëïû/tüÀspVŸ´~aùÌ~¶ôP¾BzD}_³{à³òC}kÖÏÐó Àx.º×»ê§6N’:çAO}NMõôzPdû]d°/óùçø¤}¼Ð­ÆuÔ‡cýE¶ŸúúôñX>ÉïNÀºH¬wa_w‘º‹ùÝPîö97ôû\L¾,ﱺÈ~ŸÐŽõ¥oƳ‹?ôtÒôTEvEðÒzé‡ö>Ýûòÿ'aù“ÔˆÏÇõßx°üð2ùÓ“º@yÜÖÃVn6.¼|Oÿ—OÙï$~ÚùÏŒûÏj>#û%,Ï°ºâAxA]Žø¦Ï²:éÉú-ù]yÿcÇ¡|âÁ ý/çÍwè÷#^ö‘f<ó?g‘þÔzçâß®ìäü©ÖlŸGúíÐ^ÕzRwÙúísìõß|¿àAñýÞósfgÆž-Ðs`@×Χ}5þ!ý©ûÛ/®êƒÙ5Ú‡¢y¿éCûUóTZŸ>>²^tú‡š¿Ùÿùú“_Z¿©ýtµ®Du$;_@×/¾‹ýο,Þ_×ÿ.ãã:’3’ ‰+/ü9XúrÝcå(þŸàþ­Ýý\¨“ìúìgh7¤>@x×/>Ôþøž¹œÇÑþù7ËKèDÝ×’¼D×£Öb>zÁƒê%t¾‡öO,¾!ý¡ß•Bñ­ûâϾ[úèûÈßغ˜?Yy¢|ëÎ_þ|õ|Ä­Çø¯Ï?Ç¡ÿû†úðê¾(Éÿã3‹È¿~;ïëóÏwÿÕú½ZOÚ~ú?Èê>]·ëµß[²ü]ã™_{xð¯Ö%輓չv]ÌN­ÝØó4ÄßE‡äKG=—voŸÛgúøÍçc¾ºAëfyKí#¼m!ýüËÃh?qÑaq›ÅË/ªƒY=òÝ ß¬.Eyšé‰ð בͯÌnÈÿó|ðÁ¾‚ø¶u;‹Û¬þþŸÃ¶|±¾(ªw‘¨ûs›ÿ/¾Á>%M—ü¿tÚ§êGÆžô¬ž®wö{×8à't=,³ý5zþýέï‘ü,5©qàaïæz²îº€ú1yž\­[¡ªý™¯OÿÅw°o°ó%Ê“F~<¤Ïð‡ê0bo«c/üÙ~?Éç´Þëú—u©ëa~tcv‡üý_½ /x^ÏóûÇ8d·¿—X]€ò*#¼ä~½³ç¬XÝ`×sáeyñÏð²ºØȳsÕ~߬¾IÖ ²°Ïzàuß ä—hßÎì.¹xáá¹è«u²Åƒ¾/Füõå:‹û,O±ºÎÖ9×uŸ±8ÖÁ~O=ÛŸAuÓ#‹§dú2ïâWÝ¿“ºôßâ%ùó¥´}'Ö°ï¶gßQ_‰õØ~ñs­éíËØþ‡\Ÿ_äüëÏqHï†oVŸ½ðÏômåÁž?Ró;ÊHþlÝÌX]ê$ö{¬NþóÀ‡ø#ýÙÐ~ìÛxX¼t^øPûnh,¿2ÿ·rõƒ(GÔgºøA|¡ü“Ü_=ø+÷u>}zªßØ>àµwü¢u±ï³!½3»óü°}f¶?¡öYr]·÷ÿv½ì÷Õ‘¾-þßãí:^üˆÕÖoHî£ó‡—~É/wÜ ÿŸŸáóËðúP Ny¹Oôÿ2žå#à·.ãCŒO0®ÿ¦Ïöi/ë°ãU¹0«ž÷©ãXÜfxÉ>àX¿>æ±~Ì×ç¼£ÿÃÁìÐ{|¾ð³xöpݧ€>X«rWëHµµñ¬7Ëçc<ò_–ÙïC°º éåWVŸ^ô¬=ª¿£eæ¿È…ý_¯Ëníóˆ¬në±Çõ‹O+sòy³þ¡ÊóÅ>ÿ¼êkf÷×øëÝÊ‹Õ¬?I÷!Ÿ^G¿;þeÆ¡¾FöÿD ¾Õû¨oqg¿Áð±ÿ rÑ!ùî¨P!¹[€}wö<4yž•Òay‰ô­xI^}9‡}ê—y(Þzìñ™=‡Oö—,ÞÓúÈïqŸí§^ö¿þãýˬK”Ó ÿèÿ8øðàãÂkõ©þßFä7jÜ`ûk$ÖEr»>ÛxAþÿÂ{ÁK¾µßß&çé¯yüóz^êK”_Ðþƒí/H=ùÀÞ¿guÒÚ__÷QžEy€íÉ÷Zi>Gò!qÖ¹lŸ‡êÑüؾç…GÍÇpÿô' Ôˆ|x,¿êþÄÔG/|±8pÑeuƒºoCëP÷wèûgàÿ“@¼¬>Eþ†òó5ÎèõÁšÏâ“ékZ ò`u“Û_!ù\xÄ8mñZå æ)V\ü£øzÝ·~Íž³³rCu°Xǽày‘ë?þëÇÇ¿ÿÛûã/ðúWpïï×?¿¢1/Ÿ•ôO|eÖÿ/A§«ô62ÿŸ¼³Æ^¯pÌÐ…‡óºVõ•QÙY}!|ÙëÿèE4¢9ÿ4÷3t2¯¿éX»ÕWdw|Íâý_=¹…áðì¨{}«s¤Í3l ïf“'¿2ñ¤Ëf¾Nçï’cöž§'T)x=]VëÁs28™ gm¢“7ËGÕ>+yÿÔ—ºVƒuÙ]µ6ï´Ñ“_ß5÷F¾ú߯Sd³›Ýôgò>ïgÉhfsÙön¹ïX{W>Ö[ÊÒ`ò¼Kîºs BúˆÖ4¢—²b|wõ}Gz©§ÛH7™k•¶G#k›YÚ¬öb1m4‡\ë‹ìü$[{æåyºë è]_•³‰K'Ï×+{ä=ÍEç.'êútž:ëøî¼ÔU›VKŒ¾:k‘YûCçÌž,:;Î ÿüÀqŠÑUøxÆbî×Íà÷pžfûÕJ¿ö£}¶ê«ëù¿Œ­WϦºú¹³õ¿ó™€Yk;!×­æáùÌh×Zþùô:QF•W´–Ï…íѪÞÕ)6ÑqÆt[Þ¡O³”q™z|¥Î”3ûîóèî~Zt–^]W_ÑZ‘ìgœÿWt3KG¯Y½½¯½eÏ&ï°®ú'ìÓ#ž;ΩfŸ](/å»…]x»_«sDÕå;½ºäËòíóË>Ã8»èÑ)v¸BÇQüë¦UÓõºc~êZãê×?€\ŸcÇó»×ïè>óéþ~Tåœönv°³®éç»ÏŒâ¸Ëw«²©Ö™ç6g½ºÏ8³Ïêt?wò«{mŸ"ûkÌŠßúë¬ýíß;ú©3õ>S¾™¤ðñOg^U¨^ë\EÆÝv5;vøÊïŽèÕ~ïôÂœ ßLv‘|2û¼‘¾ìì’3ËW‘Î2gÔv?¨ð}šß¯è X>óì°{ ª~Gd>ËFN}u®sFœ™7;Ö?û9ú[ÍÆÂîØ3cþÌýA”û=ºÙ»Ûï.|'öÁ=^g椓k<5oœÎwG|ìØ«îxÎe¤÷2ãÜ3Û¯«Ô•yUôÌæÌ´{e¯9Ò›U~c*¢ÝµŽ™²šÏfÕÕß0>eY|^ EºËâîú.ÜŒ8u½ºÖ:[O•3}ƒ/ô½ •W;¾Ò+¬ê“á÷§é+«“(>]}N]¥—]7ý™¯‘ï7Ecg=cWùý£‘žÌɯ‘:Òß©Gª4O~ÍÞ§FyˆÏd;–ÙE¥þóhúä*í²ÝY1(SkÌèÁÍ|&ÀÃìs×yC·ÜVæª<Ï6Uáýcfîˆmeøš¡÷ÙóÿÕ€C•ñ Ù){Škaã”ßL{ç—w~Ôµ_úËÁ=KÇÝø︟y)qüäÜÖÝC[¥ÿ;|?keÌžñ ô Ù¬èáîŒI»ê†“dp'žNyžÿ+ßï8åµ£–¾ëúîÈkÇž$û?ÇíçÝ:ØùLÉÎ×ÌxtBïuô¥~oòdŸøúîòʬ?Ÿ;z§êÉbô÷Kª¹PýŽÞ½wõÚVæÉY½…ëƒw=;Ô-çìóQ«t;û•ý>¡Š«K.«û¿»u9j‡]Ï­’Åny+/ö¬:_õù‹ïÚŒs½™¯YuŠ*ÇYsf÷g•gyîbÕçMîöš] =¿º¾·ßaK;Î+»ôt?êkF<‰|³b+ûúÙÞÁìÿ'žýÍäJm×Qãí¬3{Ón[êÄ·ëù¥ÑçGOwÊ^§{ÿYÝßft0ãÿ,œðš¹Ÿ]-¯‘zàyOÖÁúàÑ5¬xÎ'ŠùŠî½½-Û§ð;CÏãÍXß ydeÀìaæšVå™Õ¯;ò|‡WU®ÿåF¼Ú×ÌsÓÙ¯‚¿wð‚<þ~Íþ¿Øêøìï›vÈO±ž£]+:°2ï:ÿ~ãåÔÕu—§Ç®ïŽX/Œøh¶OÕ!CÆ[ç9çj|v­äÃÙö›ùMäÝòïì1uòÕñûáÞª¼+ûV¥pÇžâÙóÁÕßÈÒëümÖ›êˆýÌ–X}2ÒììùŒ¬ñï÷Îs®™¯JñïWTã±ç>³5ínÍ’sæÝÙ¼ek¿“_#çè;ÎÍ£ó¯‘x¨ÈEíñ+8ÕZbdÝv:rF3;¾Wð{ëAxNô÷Îz½Þá;f»yîÚŸ]g­]kùÇGOŒØÑ7«ÌÏÖý«^3žÊ®côyW/){u3;­Ò;ªc¼qJ_âç5WOÑkÖY]gŒ±ë™ß]åoêo„+qeô^¶'¢î-Gúœ]c•º£w¾#O(v53¿ŒÄ‹‘gßí|j÷~¤»';cÎl½dãû}W¥o4Sæ:§×z6Îeÿ/}V~³žGËôáFõ_}y¿i±2§ìŽ…3_+ú¢ª~g룫–<¡wòŒß‹=;l6+?¶'™ýÜÉŽµ¯¦Û]ÿ š¿k?u—þéó«³Vaymæ÷€¢³ø¹þ–Uuì¬3EVŸÿÃü½26œðl@Æf;¿{§ê>ƒ‡ÉYía«4+½Vk‡³êï^;Ï+Får’«r_]oìÐݬœÛe™úiö™GGœ½S?òRuS•ÃìÿstÂkæÞa´Ü-›»¼:êÕ˜½‹ÞfÖ»lLvïõ<ÆÆþ•}Ýr÷ögÑw<ÿõ÷å#ß•F¼g×Óñ;ÓÝ/õ{Êhÿ^±÷¯S~kSÅ3Ú¼kL衪ëî猪ý‡‘uÏ:ÿ¹»°ß)¼Ã÷ĺõþÿTµ¹Æ!ßCý[^çïSÞÝvgÛÁ,ÙŸ*ƒêoÀük@6ïlƒ™Ûz$óûnÕ³¨ê>ñv7?‰Ö§ÔK§ÙðìÞrö,ɶ[ŽvÇžy©ê`tÞ¨»dÓmë*¾•1E‰‡ÞsܶÍÍžÿ¼j:Œô¹ò1û?YîÜ@1tÇ™SV£¿%\奫ǢÔ(Ê™à,{ëˆ÷]¿=°j-+^ý­žëš!ûÊجOž¸nå¥öYwø:»z¾gmÖâŒbÅŠÿ9Õm§j ®öŸ_ÿ%I£òzÖÇ ÿz®³º|¸C6·våðª®2sväÛL ÄìŒü™.föWNøÿC+÷øÝ}’‘}“šºäßuv=óe÷Îl0ªëÙßî|eÎH=¿îüýÔ,Ï«ìÆ{Ùï®Ì¦·cýˆ¿ýÓîúE[¡iu£þŸ«ê3ä¹a–^•uÍüNàŒ£Áj-¶×c2\¹‡í:Kýþ†Â‡ýÝ+Û}Á‘5žÒ§ñjÏÙgÆžnN‘ÇŠWåù$VÖ³ãu²ŒFùÍžÁ=ûq”w:zðDÓû£5ö)ú_Ùî¢åÏKOUþѳ©+e’ù^köÿµ®ÖÓ yí¢·ûµò÷IGú~«t»Sÿìyï®ÿ+°r#´ªßWr)s×çc³½ŽYµìˆ zq¢Ów=RÓgÖ5ówG²5n÷ÚfÐÊÈFù^ѯÏõ¥zæÒÕ¯²÷;å|§ú‰Ù÷êø„údeÿõô—ò{š•<«ü?¥»ÈŒñ©ürö¼š[fj·LÍÐuŽõœU[š‡Ñ3+ŸÕÚqÛI£Òãñ§;½ªçÏ'è¸ãÕù›o£ç€ý‚]>½Cï³êeïÙŠ•k¾‹ïDü"™7Ù>Àò;û‰ÑµDgè™<¸¢ç0÷èYÑ €äÙÑSì~u¹›F÷½Ì\ç k\ýÿ=Ø>{†,Q|Pó ýä¿i˜©Ñ³rèòõQú×ûÌߣî~íÎoè”»ÅoÄc×3»ëÀn>”gv®ù´ýXv½‘=¢{³þwß ²ÿ52b Uþ”\?£ÈÊjÆy›ó|F=Ëîà³ÃÔóé˜÷ŠÜ•×Œ˜µ;÷î|îeÆÚ3¿]ÐAßâ¸ÎGjì•6²³^9a¯öî/´gõû®<µZç3iÌŽ¥'×L¾lï®|_ácÂ;¯-óZYœøÝìÙñ©ã¹ 4æïߪçˆQCy/k3+íõnõRöùâuîéÏŸtò÷ü½Ó.]žöª<›­Eý=““ô¼‚¿S¾êñҹמ¹¦]¿ëÔ‘óßñµú ÂöcOò©2éÚïïÌ=™ßcõN×y‰Zˌԋ»ÏQ;^3ó‚ò¿þñ¡%£Ó“d<¢“ìw°U¿ªü_¼•=¦;ÑÈÈð9þíþÝîîg–2ë®ý Œ[¡ËÌóSYfö`•ýÚ,ytʽúû²«l`æsE#¼¬ˆ«dsÒ+³ï\ÿŸëbrû^3mà_õÿ‹ëý6m¶žîØsàPz_3âYÕÖ•~´>SöÞ v­¢»n_èÖm߉g¦;^+žÅ¨ž›)óº~³ý]õû¯+W®¢ÕõlúÿY\#c2}Ü ´Ÿé/]ÿ§@Í•<1ú{UùuÿOê¯Jßh&/³pÚauo0ƒÇkì©z;õ¢eñfg=vç×IµV´Sù´õuWÓ¥oo*ÞÜ _#¿€zùÕÚ-£ãÎsŒ\Q©ð_©I•Xô.1ªk-Ýç23è®Ð[俳òÁhoņʺŸóPcÚ?Áß#¼ÍXoöåùÌ̼ÙùÊ|çS±µ¹Ì»–=Ýõ¬Å ç·ÝkZýêüë#9 ò¬K6–ŽÖ¾Ýòñ±Sz2]gû³lgF·g¹LO»uÔ½~¥ß¾{ݳsçLùFó*ûü*íÈΕqÊœbØJ¯^¯··ñîô:dzy»ãJ¤Ëjϱ’Ë•ïTd6RSÏ~þ¤û¥è«ãwO»z›+ÖÙá{ѳ.Ï÷V÷w•1]ßQkÊL=ÖQ¨¸ªû´QgΕ3•®çªã»txz |RŽïzým;§çÕ²è‡^ïhGù(Ï6Êêd]óï$$“Ñ3¸ ‡ò¬TÇo­£Zâ_Îk†.3µÌŒWÝ GçùùÊçw²e?^í UŸùùß9§¼*ß·{î—²ß`›Í7»Ö­Ykñ©w>÷}Ýá7§:m¢£ÊÔïÑž@¡{7Ûí¨©ªÏ¶E//.Íî‘íþ­;r©=ŸŸùÛÑ^±£‡0zÖ0K¾ˆnõ9‡Ój®Ÿ×÷Ò[÷>a¥\NÖÁ¬<3ò$»õ‘©ºÖW©‰FzB'˟ͽS.î²t>±£oÝý¿åFçGö0ú¼PfŽ­5gÚ[õœií²îàÝ{bV5û:ñ;fêÞ¡ëìb·­tðÕmO6žE~®þ{Çów}u=g¢âéè¯{9m÷¹þ :œ]×î®›«rùî<œöŠd²ê·‰O|uû—Å×ñœgw¿ú¿·vÊ«²«\[¡ƒÚ•‡fØÙ;æÔQ;E×+ßßÉŽÝÕï|>Q¯<÷6ËV¢=—ú;‰]½{ÛYm[ðö;Ê™o×~oÖxe­¬Ç Øu6vœ£u(5U´¿íŠ_™X½ª¿©2Âÿj»žù:‰— ?ž³½Ä¬Ü›Ù§d¾»ÏpÌÖç,Ûðr.{.÷_æs7OÏö¡>'–­w:ûÕ3lÇ“Åi¶Ó¥ãUôvážõ}õSu»B¶;ê!EÇw·ëíÉ‹Õª]D{͈fö|¼r?îPOTdÍ^ÕçÓ»{V]ôgž™žöšÕßÊâ[eï—μ½p¥Çtb<~~ͨÿ+8wýOº(OŒÆ–6Ј-­ˆ»bj6¿CÞ¬ê·â/ÈÎXíÜëN|F2ê9y¸w~gñŸú¹YwÆ^VéQÝcÿŒý—¨³ç^rõl‰ÍYa7ݯè­Ë\Uùu짣xä{Re_i×Xù¿š£òGržY_²uÖ0Þù’‚éò™ÝûÄÑ~œÓYϽK_}Õ3²U\«ûÞuHÖÆNÿE6³~ƒêDßQø:o˲³ÌÙ‹Á'îÁ24ºûVÙÿÉQù?ë'Ø“ëÊ×]~£{…Œ*¹fÕ]Ñß?Íß³ö½ïRç­xeÏ wã­^ïl»å£ÒŸO:7˜õš±gU÷Äê^üdYz5ÈnßY)ŸÎ^jö5ëбתºxôLyçkŸ}û“ù‹^wÙsÜEžöÕù+v­uä\§ó9pv6?S«uÈú13×dÏ:;~;~Æo*þëƒ× §Ä·>ž×˜©s³¿ÝUÕIô¬rçÿÿªÖ‡Qíólë'ïVÄsEæ¨ÇÅðf{/^ïôšñ?~TY?Ûþž.9ŒÖÊ~y—oï<òÆ©º¿ÛËû}ÏtSYÇÎþGï”jÇÚ£×?>ÞϺä”y¬J33Ö><ûœ º>óŒðT™ñ²ÿo&’ù(þÌ:£q»Ï†Ô½c×3'•y]=¨rÙˆ-tŸ±í®ñwð3KwÙµŸþÚÕ9ùÿɨöåý´}k†¨g“‰·;þ'_÷ë4_ÏÔ+'ôA#¾Tù®xNõäGí6»æŽ5y¯þ§Ô§?O¬®³+O0ÙÜíµªnÚ¹§©ö4V=4ª¿YøO´ï]uÊ¿å1#Ÿz2©ús湿I0û·P³¿ëšÍ‹êø.Ÿ•É‰9>sî6ª›hÎÈ9ê‰1õý­x¡s}¯ŸáPèŒÌW^Õ8ÜyF³³ŸR}>Ã~g,+Kem³þ¯£SÅåñ›ñ‰*ìËóßÑsü•ýetBœÕÑŠÑ;w¬ØÂÝzŸ«^«ÏŒfùa¾ji·?ï¶oFß»¿[f+_ÏÏ ÎúÝ”èÕç3üÎèËîÐÝÉ´O“YÄç]x}~­ÜÓ£ó*vN6JoVñjŒŽç–Fp<Ëñ.¹ Ùŵ_Ú±ÏØñÛz<•½z×9Ô ¯Î^q&·ÐÍ̽[žœËwÚÈw}uÕ4]¾Ty®òfyï®%3½Qß1o4_ÍòÿYÏ\±º2[ÍZÿÎó“Q_¯ÿ3{åÜ»ó6ú:!Ægå×%ÓÏ[tŸîZ‡2·ÓÖOøÞüjžøÊ䨑úòŸÎµ,wú½éÕ½ï™5\ÆWŸÿö~oÉòyz~šõêÚ7Žþ/›.^~^?¯™¯=Aïõ]ãѨÜîô©ew?o‘]£=çRÏKNÚs{¹jäÌÓúïÏ#½ßª­fÏ(fʱSW'}¾»GÍõžz¶‡Îÿ±Ý¡[¯÷Û%÷ξËì3z×ÿRàQ•åiy°ã‘ÓÖÄô…Ö‰Ö­/úMÌß?õl¤c £¯ìwÐX=[©Ôÿs<º¾×fÉ­c-‘Ì•ß—­ò“Éu#ý!ÆËÌów&ï•qzäšœË"ë°á•<Û—ò;Ú£ÏMÌz)µÌh¬[µVbÔ,¹uêôD_X¡Ÿw¤}Â3-Ñ+³o;UÆïÎoŸ'œ5 ”ÿ_3[njŸê.úî|ýüíí*{m´çïÚS Ü'èá4]×uf÷…wàµSÊÿ‹¾#VáoTÞ'èŠñÒÍc÷wåîÔ§Þ¡¿Ý¸º^ÌnþaøŽÎÙþeæuËí€ÖˆÌ³xNÐa–‡è™TêoEþ'ì;¾óKõ¿Î>Àwy­Šwð¡Õçhèœq‡Œ«´½óȺ™USÏ8—ò~›$ƒsÕÿ'd<ó¬`®ïöêòŸwÓÁ¬óþ\;þ2¶ú´U¯w³Ín9tɧ‚ã„œƒ^Õž@æ ¼Ã =§ÕY•ç'³ú˜ù¿Bª¯îýÀí^QŸjÕÿbí©y6ÿϧ×óØ‘gçªkͳ~¿áµÿsdÕ÷¯v¼ÞaM‘¯ª#VËyEÝR{Ò^ó;É3×¥¼Ô~âcV?"‹/Ú Vmaæþræ¾?ÒMµ¿_á·KvݹÉÇûÝÐ,öÙXU{·™g»màŽ¯ÙkÏ貫6¸ð°ßvY{u.‹m§Û⬾u–‡ç˜?‹Nçï< û9{«ôÕgê§C»÷àréøßÔÏ6žy­øm’ÝûìÕúœM{4¦²új4WEóWôí¢^÷ÎߢœI³ZÛ¯î ÔÛûØSþçâ©ôÏ|(ß©D¼«ý§òû]ô£êeô>{u=Çê=ÓQÅy’ð?ˆ:é ø¼R¦§óñÌKÇs·3d¨È«CJœÑå?:;Pq*ûI†+ú‡QþFm¤›{eÿgØ(o±‚ñ1#.!y­Ðóõ™5èŽúbuo÷3z*öû';Ö°ÛFfЭþÖÁ¬:dÖÿä~—× ¿{¾›¾ÇO¥ò÷»ON[ßwÐá žOé_Ìêá ³ÔÓÏö”*5É ÝÜÉvGÏ/ýíø­©Ó^Š­®xuÔ›#û–L à}!ÚSE>¯Òíèy(ëêîÍ춑Õùj–ÜX¼êîßÍÖe7þ‘ç5_îxö©c Y=W}¹GþGoÇzG^œ£Ï½îì÷¾N:«îâU©-³ëfçLª~v?ŸxJ¿þ™´/csGe^yÖà½uõÂw­k·ŒèþDyvé|”ÿÑ\‚öVvŒõýçkY¢\±ÓNѳÃ66²7|>óD=˜Ü6Ô‰ã_¯68ú Ê?œ]k™)'oº*=”Sâò¨L»ãû-ŽŒžWôžiœPCÜõÕµ#9|W¯i§WcØõ?bžŸß`ý)›ož¯Ù8‘Éñw¨iWé2»Þï\o7ÎY=‚;½”}Ìt™¡i93ßó;†Ï‹#2ÈöWÉ»ó\pµ}t­ënû ûš¹¯eµx´Xá/Ù5òXíGûÒÑgØoÈ«zíZ¿:¤¿îõDN¬ßgÈ6»žì÷l:ú&Ýsvé°ÓÞ¯WôLýÉkÊ>­ô9­LNÑ»¥_åc„ÿ íëù,Vß²^ÀiõÜ»¼POtw¿q$þÏŠý•ß·‰|fÆY׈¬GêŸÝ¼wŒE:z>óÛÝ{Í~~öù`Çëî¿ÃØýL~e½³¿ÿªö›ºí­K÷^ŒËЙÙ«Æ°Y¾½JÏ+ñz4¼ß^f¯ì™'^Ëû 9Ûq+úúϱ&âSýí¶OœmsÊo¹)½"ïY¤üÌ°£•ò>—îÿS\YWô›ÛëF¾ú\¯VŸ½y‡×ÊœvWü/vÎ`Ïq+±´Z£Æì|ø>õç5[÷êÿµb¹·cÿ”ý'w¦î·c;ÏE=D²d| ™©ýb‚òÇÑgJG{,^ ]©GOøÍ—ŠÞ™ªvÿOó^áE}íz®KÙÌ\÷ ½ßñÕíó³yRøQm‹½VÔ«p ˜zªívÚú®ÉQ«åxÕ¾'_î¦ÓÕûŠÎÇ2µrWZ5·»GÜ!sû÷¨½©ç›+ýjw ÞMÔ6Ø:Vê2sn½¢OØAcwŽ©¼FcÏ(NÕ>*4f¬­k}'¼î°Ž¬OuîFŸAï~Dùnºý¶kÌ¿ÌØ®Z¢¢§Ù糕}ÍüåÄרÜfÚá3ÞÏôeÏ înc§åQ$Ó™ñç¤=Ó^ª=¨ÿ³f”N׌½¸Ê·µõ]ý“¬Þf¾N“Á®×̵DÏ=ßSòk…ÏŒÍÏ°ÁÑߌéòÙŠ<»jŽN?;©W~×׌µ)ßµ÷úÿ'¬ýNgzUg­çù»ì±J©ÍQlø.5ôªšé»ÈS•õÌœÄp>÷§ð|‡Ø—•ãŒuа¹‘áËê‹ÅI¯ï;znr»©ò‰æͬÑWÊú4ýÆϬ<Ø•Çòôz™ÔYûΞTh¨ôfûf׹Њ×LgŸwèvÿßÒl­ãùÊósú#ý½Sìeö>[Ñõ.½šV¹·êUù­ÉÓjÓy|§ßòíî¯dj…¬j¿šf¿fêå$¿]÷¬ß™ðd´ÛW²<©¿ùq§×]ùî\ÏI2èêeŽôºåÑåç'Užøšõ{çÚÈî¾óoÉØ׊gàv=¯‘¥7ú[úÑüŽçºÏ(îðêþßÚ™yè¹”®óV†ë]{]úî|Uå6S?Õ^ûwÊm£1[ý ª¯®|0«¦Fã¢ß}²òDÏÈ°gÃ<ÚÿÐ]kôûõÝç]»û #¯n»9å÷¨ª²8!ÎvžáUükæºvó0ò:Á6V½fÄ4å„{Ï«E¯®~zžbÆþŒõ€í˜Ñx0RKD{Ü‘^bÇkg<9±Üí +×ѳnjގrmµ,²1÷¯Âø/+ƒìÿiðb_×sH«Ö¼j;ØèÌõ½›>ÙúÔ~<ŠÁÿJâQuS‰ï#=ŠÝÿ˃ñÒí—3žßê¬N|u=[:jËwzUâB¶ßú<ï;ý®f'¯³Ör'ÝéµãY♺|Æýî5è,}°üËô§üÿPÖë;Ñß»lyç³+*Þ.ü'ê±›×Yÿƒr–þVëŃ;ÙF‡NÞvG[µÎêžò:ÿÉü¯¸Ì¾ÃËžacôÿip­ª·vêw÷ËžvíUgÉîº6òìvÔ«yþ;‹¿êg3ûF£{ ïYYúÎê­Cf™zãt_FµO<ÚÿÉè,{›ñ¬J¾ì3ßUyDøU¼Ýyþ½ç•ÉüÏŽEþ™Õ÷ný«|«c2ãº`fÒ³³öðì´Ó?FafÕi££ô«ù@Åo¯w¯k¶½Œä‡Ñ\­âžÞm ®æ—SbÀjرî“b®…™5F6FÝÍ»a¿§Ê)Û/Cóªõ7žպ+Z‡ºžÓawMæáÏäÏ̾ïyÌõ“åy¶n;{r£ý¿Yqc­Ut:ö¨3aX»­ôZføìn8ÑWVÓòè)5ÀŠx; 'Ù`/+ûWÙ9'ɺN_ŠíÏ÷VØÞN9E9ê¾Ô±V_³ý½«7ºNáãzàŽg pj-Á)|( ÚUÔ÷Ëý‚‘1ln¥/Qíî„nyΨ•ï U½wÔe«{·êØ™|Ý©¿û¯pºþfÛî š™3•°²·µ*)°j¯úüžÉ+'Õ×»ÎC¾œ"§J½ƒfWÇëMuàý?¡3†fkó‘}ÎIyè4¨øþ Z» ãFã#wœP)gU>£|Ìþ~Ç|ø.õé)|TÙXgOvF®Cî,Wï)÷«0ËoºsoGžC¸•{3àô^[²kÚÑÏËŒÉâXéÇ*­Ù¹qemÈêÔ´«ã~àûËCÑëãC·÷î¾]¥§¦ô½£½ì?Í…=¼ü+ú:§ÀÝú.w“~à2 ô;*8и®þ»·³Æÿ1èìquöc2ûçÏ(Ž»§ƒkðÏîÉuÎ…™²ÝßéM«ãVédDfÝ9xÄþ»üænñÅ“Õö³ Vö€WBg¡NåëaÕù‡zîhc$‹7ÞþßÞŸ]cUæ(q4’㧣ÿ¬î‰WúYµžÉðˆÖhå¹"½ÖF»âãŒýó­¬ï°9»á„º^îü²rïf¥½Ê/WÇYëoèói°«?°[+÷m§ï;è)}ëhîn{SkÃ÷Œºl'¾pGžG`…ÎG}¿:W={Y»üËÛó±˜ý.½²Õýû»ç¹•p‡œºN‰E¶§Û]çF¹a´váa6Ígü¨G¯öؼ~¢Ï]°SæßÞå,áçl‰C¥W§Üß³Ï/WÁh¾\ÑîÈ'ƒ’s»ô4N”¹gŸ#ñfGLŸÝ'ËÔq+ «Ÿ23¯x{‘ÎsÇŒ>ÿiq|6¬ªÛl_ë;»ô5+p¨Ôu•¼3»Çéý½£×ß³÷Iw³Ñ Võ‰N‚¬+ã3u¯w^SÙµm×Hœˆú¨Uè®U»iì„ëÉê“õFîØóš wØw̬…vÚošÓTØEwF÷•½…Vç¼èzµ¯1:®«6>ÅþNá#‚¨î˜•³»j-ëÞç:3ÇàÊÖ8+h²z½³zÝõ]×·Ûn;ãyvltØÀkVåÔ_V÷W^/° fá¾³ ý þÕ˜¹ª.öhŽ99¯Šg£µ~eŸ”݇uÁ¬=D¥¿”W…Ì^}^¹–òx‡~«jc;פÖÈ]׳0sÿ¢Ä´]ûû–;ùÑ*è–×,P{*^/©;&­²£ñ™Q×)µÙIû㶼‚þjÜw ? î¾®?TpØxnç ¿#š# ðÚ¹/CùÇ£¡ä°»Û]tÔÆUÜ]ñü]ôø.ë° ÄÏ/GöF3€ñ£ôcNØ׫{qÖ3á»7º÷W´F{#lŒª— ®àDžžáĽHÍÌøÎz±÷(>%çdã#ºæáíÜ7Wê®,Ýõ<““Ç߈v¬5“Ð~-ÂÉö£°£îPtXñÕ¦³9=Úcg¡SÞŠ YÞUœ#üÌÀÅãõ²¹§[Ùœ â½#dëU%nvðàùÍ ß¹#œ´ÞY¼DõÜw9kÖœñ´BCÉÙ´Ó«5Pç>§ºöðñaÅþw¤ÎЙ¬~ê®áVª7*õÂoe•Ù_[>»@‰£4*tGéÍ–ÕH>ìZÿhNŽâÐlýdïuÒÎÊm_w‚‘šm‡m=QuÚ½×µ¸WÌ9Vå9N¬Á*9G­ÁînO]û†,Íä6;–ÞºäÒUóeqì°í,™6¨æéL.ÏÞ÷ö…¸kSñœP«×0[ו½ëiµÆ;ØÕn˜½_9%¶žw»âîw±ûwÙK{=âjß±»Ïfy:POs%ýjܹ¯»›^Ùõ*ÎÓå…Yññd9T‡¯>cy¦sb-1²þÙ{R5מlû3`vœ¼³œÏJâíiÚkÌN“I—-*µOä ^k¶¬”}ÁÌÞéj}«õi—O¬Ü»Ì’k'Þ]{åUvvJL?¾³,N¬ÛfÐ^½÷®ÄïU=™{¯“|è$^î»ûÊ>EÅ3«‡\=k¸ký{'è®ý:ö3•Óî}¥2õðªûJ…æÝáô5ŒØߌø¶Fû¼•¼³2ïž c 3ûðY<£=µ<§À¨^fÅä/žï©ãÐgt¯Zì®±8yï= +ùXÝo8vÄ÷n\»a×ZVõÐGðgcêìsª*¬È 'Ô(Õ½³¢7µQòzuïnõ¨ì‡+uºÿÎùûväŠ]½™Sc–Ùªµü)pâþ=¬üGeÞ݃ïÊ]³}½»îé§Z=ª¹©[w?ð'üE^vìäa´—é•{¸fð:Ç(ÏßÍ®ïØ{ZEçôúî‚ü®ƒ~…‡“÷H˜µoŒjæLnQÇ'èŒ3öÒ§å6ÖOŠìô„<¥ÔYv_£à¹+dz˜œw—Ï ø‘ÑûÁÎÒcc~ßÕ³›Ù«¡ÙÙ‡é­Tzp#|Gù;ê!ºlNfà¹ÿPÝ?tÑš9o5Îp—ž† ï´–;A%—VqWóá {Ép‡u²=²26‹»{®Wï¢Ï³yYg6tö/3´²8wÔ?Š=e×p»¸VîE*sîb¬Šë;ñîÒI¶ÖÚe7+÷£ îÙrÈèå_ží£{„Õ¼Vp¬€J/®£W©žùŒöƒ³º‰ql_³¢&Ø;ð?Ûâh/áä\z7z§ä˜‡ÎÞÂê~_VÔŽ'õ}Fqž;Uý­¬»VÛ°ÂÃi ê#«{uîü@¬mÒ#©ûÕ1wô'ï &{Ý{}|äcSEGw”ùJXµ¯=¥VòüÙò °²n=EG'Šš刕úb¾P•C¥ºV÷“³qfF?}ÇšïÜ?U`%³ãô©ºšqFQ/~ç}óª>àl*¨tí¾hF,\éS§Ó馯×U­+²µ¡:¿ë,£ ÔâeTNvÜêºø´˜Ù¿¼8ëõî+ûˆ¶‚§U|Ý6­ÄŠ ÍÑq*«j“Ný³µ(kíÔƒŠo¯Þgœ˜«-ÜÇ :ö;;Ö»šfENžŸvç”N¸“Ý>ÃìúkÞv ö OµƒÙµT÷\‹gVÞÎÂHïxd V£udvß¹O²£ïš­ÿO”›…ÓkÒLÏâá´õUcÝh,Þe¯™õÎØÇWxQp±±»z€jO¡ÂßIûÿÕÐÝ×œÉ ë—*xªuª·ÖôWêúïºÞÓ s_Å5k¼j¿ŠðœÜwº+tçEÅöýUuónùûdÝU®¦½{¯ç1?p6tĵ±ñnpÇõÜ‘çØ'œwÌ®»½ýnç:wìvÀ ¶òïžMeú`4U\#g²£óº{Ýã¼ñ³âC‡¼º`æÞhõ^t¥Ì¼ý%º‡ò·âÇÝý}VÈm§Í{zÊÌí§ÌSꔎ¼Ò•›¢y&ž¾s=6²¶w–ËøpšÎïšwxyá¾~`fæîï`#3Έà¾KüÉœ=âšcdOqÜ•ïÙPí­ýÀŸ°"¦Í~®$Ú×vÓú®pçÚ«ËÆO8kܽÆøNé àb}ÉÓŸ˜‰ËëË*¾™íãwõýÑYËÄ0*£uÛn=Î8£¯ÂÎ3çì¸1´s_¿Û®T˜ÓîÜŸè$WåÌÀÅbØOÞ¼Ïî¼Êž-Ù ªýV<ƒ—Wvåë“ä²²²9YVŠ¯îää9 ÎóC%¶©×>™^v×éU¼™}t&ÎìcpÚ~gõ™é*˜µB}¯ÓôúNÐ}.’ÑÛª3šYøNêMEpbŸ± ?gT=Ðá{¬V9EWwéýÀ°6ŠjëSb³{šÞõ~6³ž^!³»àß wXßi1íŸ*ówÁúƒ¼³¯ŸØKµóÕp2ofõxVB]G” î¨ÿp9œ¿GÇuÅ×°â,÷Ý!+·ÙãOÁ½fžÙͪ‰îœÃŸñ͆‘½z¿¬äû®2ú¨À]ì}Vå„óÄ]t5ÞI³í®*µühO{V¿£ã|z„êKŸª{3õsª,þëTÝ?ÃJí®ºÏWœYUúw«õ³û9Q+Ïç}V|lĆ³çÅ3ûn§ÀÝãö)ç «áN¼*©§;p*c»mftpwgë’Yçñ}ü™þ ®wÖ+ó¯½ï­WÅ«è§3/¯†n=W韊ïØÕ¯Ým» [+«cÔñ'œ ¾›]p‚lgω+¢‘íýž^[t@×>º£Þ¸+¬ØŸÜ fï¡*ù/ Õžçi:ÝÙ';M« ²ŸCx*÷*ã~à óÐU¬ˆõ? Á]d?£žŸ'½~ç©­sÐøÙu[t}×>{•~WÚ‘JËëåŽä‰»ç†ªŽ*ërñyGN붿ÎÄ›Ùò˜ÕS{æõÄþUÌÐCµö8uÒ;øë–ûé2dåyÇéqêdÞvÀÊ}þ;Ã)k>…ï'Ô—;à®ÏØZû;‚W?ÏxÎF•ñ)¶tê9üÝööwàSy>`e¬ÈÖõ3Ïrv¬u¶ŒO·ÉÓù; ÞQ^™~çª^ÊéçøQ|GtÆØÕ|'vÀ©=j¯&ì®OÁqèîWw×ÈJŽîØßÞYçwæÁŒºèصÏõê’ξЩý¾Sz_œÊ—«ãë,Ùüìa·ÌóH#s:ÇWá®|G ¬ =c´B·]x*ëÌBw}}`µÿ‰²èÒõÌñž;åÅ™g4»àT»Þ1ÿÔ¾Xeìóœ½ëó*ýçÎÑØL/}·U8ÏlŸzý‘s¡2ìŠYÕ³C&£;Ùü,`²ÝÝ÷:Q?»yÊØíì¾W÷ÜSóè(Õ{¹.¨ôQ:m³;F+z9µ–õxÖ3;¿ygA–}€]ý»NÚŒFo6R©áFèÏ°ïÙþ2GE^}ÇbJ–¯ì¸J} ÆñÎ>PçÜøfÒÝvÍíc)¸Õ{íÝûºkág™úb•¼fîÍfçô2´˜­à=ªewû\ÖÞO³ùQ<§îÍ:笀ß©5«<ìî{­¦±N‘c6.(¹$ uÌêZñî0{ß°W'Í9s4vg{?û¿z¬ç:Š°ºqÔ¿þúðiœçFéÎÜË3Û]¹Ç½ÎìýÊ~5dûQÍÒQ[œÚ‡8QwpB2»ùØM¿Ý~pG0`5“ROuÖ'£àñ®àÏôìªüή;pÍÚtìIìµÌüÚœw‰£ýÁÕôWáRpWëÀSöúßVØ°Í«ê¯ã]Wø˜Ý£éÂ5Nð+Ö«éèw­Èÿú#óª{j¥'Ö Ù:†õ^ªøg®ýº`6/'ÚÍn˜Ùãš#üîˆ!+@ÉA\×g¥–>¡Î>™îjÈêj¤g’¡]Á53ç¶ÞÙ èùnµü yÆ}žIóNvõ.p·zAgWÀÝìü»è®»Îd=ª™°¢ž@1«{ÿ|rÝýk¡«?Ô=§z~Qñ•Ù~5£·ºyQew‚ NíAx= Š ã¸ó~îD{¯ÀÎZåT©+sîзé°÷Ó×È`´Ÿ?J³»>ù˼>Ìõš+À“}EwXë(tõ`¢8Võ…ç]'ÖPVN(† ?|—Ú£ £g%Ý´vÁ¨m¯²£®:å­¨ç©ò¨ÂlÛQe5ƒîÉ~¡BƼX¬Æd&¯;˲âÛï"‹5Î옽ZþjŽÊôÇÞ©î?™7ÞÅ·ÿ†~GöY»ò«W3ÙÏ#5e¦^™¹þîXÒÁ묽ïÝ|® :s˹•˜w²^XO0ƒ§Jßþ½ËÇNÖS'¨ë\¡‡®~Áj‘a‡¯x÷29;ê«x5Á(ŸÝøFæ©uÊm…¦Ò+ØeóŠŒVð–ÑUÿêu(×\3÷£xWæ˜wÑXàÕqÑüÙ¾5 'ñ¤äñ¬Ïì\Ÿ²¯©î‡Y\òj%ž™=!»Òº"¸ ŸNàùÃ̺ªË¿gBG¿­{ ™=–º‡Êîµ*t*ëQîg¡Ëv;ò’VÁÝs€g“™¹.6îT8eoœ¡3CÞ«c‹4Ñþ Õ®Ùýx–×»ëkU]3 fÆp/®Vòàj›šAë.yàD˜#N†Jm’Á{˜Å«RçTiWkÉYúþ90#ÿŸYû]QgUkÒÓ S3ìªo‘ŒG÷•‡¥Çp¢:"+´×ì´Ãî}ÞÌ}›¥3 ;?Ýÿ»ú(«kU§w­IWõ*tVÇ’Š_uÄðì\…‡l½»Ï9 ;|4w‘£3yç3òAÅ7OÔïø;…Î)µÕ]öu«òún½t÷ágê¶;—¯óʳƒì™K^6·O–æîø²›¾ §çÒQèîuà­@f¿6[§³rc” wÛæH^Ü•ãWÒe¾ÒÙ§õæïªewίҩƇ™=àYqº›Vw¦þéèÉ­„Óøñàýä8‹îôÏÕXîÑÙ÷Úñ;ê„öÐï'ȳ‹‡Îž[õünÔFO­g+åce_r%œÆï9Ïö»Ê¸‹‹a«öx§ôöN…û÷ê¼ÐàÝÏ*0³æ¸ Œôn­_žÚƒ}‡ýÓì\´KwÑÞ½Òã@sOØtîÓ¾#œtδÃÇF`$ÿßÑþîÈ3‚Lìê¨ó¼|~ŠíF÷Oî£x²ÜÝ/ËâSöÒ§ØÌ,8IgÜ'èäþ†ÎÄî wâu­öû »ù>­W®ö2=”Ý2¶ œ#vÕ¥ãG}ÜÓ—×èòúk¬6?ɆºÏÒvà U4ÙùŠØÔÙÛQ3¯ŒÏ³ëŠSj³*®êz»ìyF>ëž7Nˆy»éF°²va0³ç{B½ºÒ³4V÷‘«÷ºaf½ïÅòpÇx=#.¯’ñhNWð¼ã›Áhm˜ÝëŽöœfî7”½ñh.¬ð}G{Dvò_?>þýß‚q´Ô{Ý´vŒ78½9‘†³ýìÆà´º0º÷ìà;¬± »ö>3ú¶]<¬„ZFÿvì}² 'òtÁn­ÀŒs¢ ŒÖ¬öùË\?a©Ò_mW»årzVàÅÃõè °:çuÓSõƒêƒ(_ZßF´¼ñ§ÀÝýº’Ovî·ºzKÌ–:öâw·´:á„œòÝö‰+á»ô›VÂ;¯í] ª›F^çéwžý³à”=ÀNúYŸØ-«Ù ÚCV#ýž°[™3€hŸ¡Q¥WQ¥3Ʋ=NÖa´³×` ~äú3!걞wás6ÜI½Ñ˜ßYþßyíF{;3ΆNÕÓ©|uÀÈÚFö=ï,S¾ÛzO€‘}3ºWía¬ö\Ee~¨g #}Š¸'té³ã\æ³+ólu~5FœúÜÉÌç6~àž öÕwúëJèˆ-§­w†^g¬ñ4¹ypgBg¾™-KV3wÖ÷'úý©­fí#Wœ—Ϥ]¡‰êQ›ï½š7f={¢âBëïÚo°÷ ÎÐ`¦¼VõÀ”|:Ò'š'•¹Ë®»úk«ø·³ƒ“×ÐgfÁi{²YýóˆÖ]h¬¶wVëEó*÷Tž”ëìÜ©{ïUåëa‡_&×l®]Ñ׸c¿át=3X)s%îÞM~îhÃŒô¾ÐýY9.¢y>”ûí=¯wÍh°k¬W¦ÀÊ1Zÿ“^°³'ÜÉÃJ¼»`— fhþôpï =Ž™4ÞN­9TüwÐ鎽èäR…™ý°]ÀêD¯®^µÝUWïª7f×ÊÜnÝŽÔF^Ÿw·Ÿ¶×S`ÖÙP¦¿s¿<ÛWN‡ÓøT{.'BgÍҚﬓøOPj¹SôZåCé¡ïî¯ÍZÛìùÝxT§ÔwßÐ9Ó`8å øD¼Ý0£î^Ñëý VËsu>û.ð#×:ì®õ21¶²?<ñ| =’™_¥ë½Ï¦{gXÝ“è²çÑyªÜÁ&N©—;ö8Ù³¯lü»[LèôÏHÊÙd…Ö¼7ÜUÏ#õÉ,ÈœßƱÖ; v­õ®ºcë èîÛœ´¶ NÚ+Íz^àD\Ýp'ýü5øê ?sü 8‡ œÚó©Ý»ðy'ø‘éù°"nœtf}3áŽë»#Ï?€áGŸgC·~~ôƒ;î¥Þ~dy6üègv>s·[»éŸ wé­wA÷sB'ËêdÞVÀîõï¦Áz°ÜßPôT‘ËÝ÷§ñó7têaäYìs*Ì’ù‰ºœ ßqÍvÊù—õ•<ŽÖ¦»êÕ;Øòó>4Ò¯}6¢b 6§J³º÷I;a6ÏòÌö¼âŠú±:§ ÖßW½Fùí‚™þ{º¿W «ÏNùž"ÏLýÐÙ×Y·Ìˆu«òI‡_žb[ðü0ÚÛvÄá*̨ٺl¾îbG»ûš;mð;€W×Ùûv/ņÓôt?hÿŠx;çYðÎkËÊq£ûÔ“9)ŽŽìfï¯N‘ÑwƒÙû–¬­Ú‹­ÀÑ «zk«à¤ØÁŠX~Båºè‚ÝûÛ»ÓF ô9Vòp׉º;fÊéœÂGfô àè<yg¸“|îÄk¢3•.|Ñõ»AÇ9â¬93pÜf'ñs—½ûwâÁ;¬!¨þAÝqý½¨<œÐgÚA««úÕ3 Ãw~öwxçÌ™¹#tï‚÷.öSõyô ‡½7³§øÎ=ÿRÁåýÆDãTzè¹ÎgfÂö_Ý<*¶vÒ>(SÎà¹sŸ?zŽt{]…k»Èã´3Ü;ž¢ü¦Ì¥»vž‹¬ðUwñï.¸»@õõ¬-ÝYæJlÏÎßg>«×Ò½Odc29¡2Öû›õiºd~Š^PíaïÚóœîóÕ~ßiv‘;óžwYçh.­ŒŸ³xPüÔö¤íßÙ} ë]z}Ï{ÂPóæìÜúõp6wŒÖŒ»zf'öêë‰2µpÂé/óºTÎgñ±NÓÓÌyÚZÿ†Ùùà~à8œº÷?ÕÏO嫼~|¥—;Bs6ì8sè¤Ñq~›ÁÝ=´æîÄ9sUíáíô·™±yÕž~÷|‡s2¾}jN²ûb”S”3:{oÆ^ûŽû÷•0;wÝ îV½Ü–™7»¦X wê¿Þµ¿ù #ùSµÁ®ž´ÿÊòT¡ ¬Š‡§Ë¡ û]Ý÷g4¿‹nÞî|–›Sz0´g÷ <š«`Ç~¦Z¯‚j-tâZÜ•ï¿a¤¾Ù?Íê¥ÝY« Ó3D=7t½ºàr…G–G»öÞ=Å~NÙCVåp»Ù ?òéî3¡{…¨WÍ[ •Zó´þø‰0s-•Ür ºfeßë´}ngí1cÞ*èŒË+ΪFΪöîÉèk°Q͆vzÎ D¶ztÇèNÚêØ]}ïqûT;©@÷Z*¹cf}5»ÿÙWÕwVØYwŸ§vÓßÙ˜9[FJ¼ìôוû‹™± +¼3D}¨Ñ}£3Õ}V/YXáC™åîÞfeüªX1÷]ãó}ÌÜÞU>îÎÿßÐ]“Žœ9dç*=ÝŠÍÙÜ‘É!³÷%»à$^.8…§L=µGfƒ'ô.VÐ^½¾L.ÜÙÇ›™5ÙX¹k9Jg$w¡±'õ¿Våú,Ž½Êçwû·2·“Ä÷Šæwòw’]îÂ?âC?Pƒ;Êo´‡u:Ü)d{b#ø:眀{'töOØóx ì÷:h¼dkî9þ ;Î5* Æë¨Nãçjp—Û¬sœN8‰¿Î3¿“áN{s•ÎÊ<¸C×wÉów„U}ÂÙñEéŽÂíi°£Ÿð£›ó ã,©VØãê>ß]à÷² ç”ó­€zO#½åSÖ¶ NÒoìØËì ïÑUkÎï÷O_£¢‡ÓdÊà.üžP'uÀ‰|uœ¹Ÿ¸. 3Ï2£ØPí+x÷;r•CYúÝþü.ñá»Á|8I.'ñ2 V=ç‚öïÙ¹+¡³¯µë\礽Åwð§8WÏ‘o¾[oIw[ïŽs±Ø}ÖŸs§<¬Î{7`ðÎëíx^¢Ò#¡×5~OU™ó­YðÎ6Ýw“Ñ üÎ~¦ê$XUWëvæßù ÀîsÙU8G몕6~7Z'õšî 'Ëë4ÞN‹­§ñÓ…×›?òìXלø~ðìää5žÌÛ©°âyµ½¼ÂÊ~Ðw©%:`–½ÏÚƒŒìãßýL'[vѨÌEàÝÝK·¶ybÏl6þÕ>vrl=N–Ïɼy0ꧭ×òvª¿¯è]?ÏÝý\C2½eìÖÜž½gω<™ygûsʵC_Jlòju=#uºb»Š¿¢k^­VÑýó܈¦7÷»øÚü@ì:Wîz~à$xçžVP-ÀÆÍæãNPéù°Þ}»«®ëÂù}°ëìãÇ.^aÅyàJ¼§ÒUAáoæYâ_sê=æ—Ù=ì;ÀŽuuéõ]uòçëýÔˆ5¸{ÿí¾½<9»ÍxY»Ï·O¨G»Æ®ª¯î€üð<îÄkìêÁŸ'ñ´:ܱnº¯ÏpbOz¬ªîßyí?°võêfŽæœìgÝ<Ÿ¼Ö; »­ÀžÇ Û÷¸›¼Gíö´õþÄÃó`¥Í|§³Ô»ÃÊÞ¢µûÙFÎJ¢y™gaFévÉÍ{N÷»Áì瓽3>{þ·âe鯀YÏŠd|í$Pcä©üwB&_ì:ë\Q­:ã]AcõùÖ õÄÝàGFu8å oVý7›ÞœÜkžUçœ3x<ÙîFéwìù²tÞ˜<+=ˆ^v@6®®%Oµ÷Y1læ^w•\« ®ÿDÞŸáä\Ô‘}e{*«kРôÏØoÜ*è”ån]ü ;y‰«ù>MNlŸüÓãÜC÷î2¿;ÿ'BÖgôĽÜ9²x•š'âw”^O'œÒó´Ðƒ+ã»÷|ß©n˜︦Ðà´¾ÐÜÞeo²"¯Ü­çwb}µ f¯ñ„Õ^ëäé§6û¨ò¥Î›ÿî°êŒb‡9 ¢œÙÁߥ~c0c+äÂê®ô*c~à,X]_줵Ó7J<îˆÿßÕOwØj6nîÖÍnú»á”ºæî9âD(öù®ûçjï,Ûcýïß­ŸpªMNæùþ„ݺªžçœx¾²ªçŠÊµ N*gðìü³‹îJè–õÌ~Æi²ûìêIŸ`7ÊóÞ„21é;ÔG£Ïˆ(øº`•üßQÏ*¨½…•u\¦6Z­»ÓÎB;ÎPü=©Þ°<¢\àÅpem}¼âõòKö•oyVÖn!Ê“ÞµêÞî]¡{µJ¾|ƹjýy²Ý÷30‹çê~_©÷G¡¯Q¨ÚstãÌàSk±Qþë†NܧƃL=±ñ¨ÎR`¤†b8«0Nš;Nµ÷¸ÛÚ2þj?Ïο+¡jû»×Þ7WÐ: ÞqMU8Iû:¥†ÉÔ9#p’lgÂNŽÒ®äÕ°s©Â;Øyv»*†tBÄç]ÖQ=±¹£ûGïZ7NuŽ'«Ù61ºŸPrƒ:FÙ3|È^Vët¬ì)Ü N–GGÍÍpŽŽÁ5»~|ÆѽÖ˳ã…Öóû¬wNö¿ÙðñxÆVËäû¸S Û·9Ufwí—Ÿ°Oì¨í<óG䕵ã»ÙRfî%VíkWÀ]í¡»Ÿ2?gß N­‰Q½p*¿w…;ÉòN¼îÔ·VsL÷^"Ú§œ¤Ï“x¹;üÔýðNuú`eï?M'+Î(ºñgsÜŠ3 èŒbdúo•ºa*¾rJÿmÖÜü+z}3篠¡ô*WõGêîÓòÄw‚±°;Öelm÷Ù`†¾÷À,þ+|vå‘wów«¯îœvš3š+sïw>g;e]«í½ ޅΊ}÷ÏÙö=`§Ü‘žvƒ•S÷º¿‹=ø‘å<ÃiµruÞª}áJ˜½çµ´2×Ù½*½8TÝïÖ¥ÚPö³jŽÀbÃékÈƶݽË\§éä~N±ƒäqŠ,vÀì½ß(Ì<»Ù²®Ì=aí»à;¯ýÎ;\g'<óëù§“`Æ™vÇüLmr§3«çyÍêó'»ågùê¼Ý¼f`UO´Õ~Ì®3Á»õvÙîÊýhj±Â¿*qôN9ë®°Óö2¸~ô<Nί+­¦\Níwî€Uõþ{–wª?N€È—«øÞ Võ„Ô3ú íY½˜n˜ÁÏ®x𜯼>ƒ½¯âUh²¹U8É^:ûx+ñxxïkû串zv•þ#òK;Σå±G×\*¬>›Þ •zEÑkv~VĤ»éÔƒÑØñ2Ø «å7“Þi¶°cÏ~—}À]à§ßîÃ.;[‘£OÐç*ÞvõwËøŽç)³zïYœ£< }Tf¿o_*=?¢ÙIg¨9MA£½ª]WúÜ«p*ý‰,ÎSÁöEgÒ¹ düiÆYÅê>küðr>Tý|VL·4~`?0]ßiÿÙ³íجð«N˜qfÒYÜI–*¼Ëšvôµ«uTµ×³ûÜdõæn\ÝôºâÏhL«öG~ÎîîïÖS¸3 Ò/»Î fÑÛÕÛ]Ñ ë€S{uw‘_³û}ïÕRWÕuæñF΀În}E}Do…ÍDvªÚq×y@ç^¤Â'².=üÄ€(9KÏ\[+÷ø'ÚÓ)ú8Q6«áŽuØI½—]þ¸ú™†.:UßGóÞ¥oÒwîÛ=æJ~f÷c¢}Ón¹wBw>9¥µ›þßpŠ,vÁO8'ŸãwÐêžÓQ½› u»ÉæÝÖÓ +kŸÓö}«è{5Â)¼z÷ü ï\§½ëº:ÁÓ×Yaõ\ëŽðÎë»ËÚ¾ƒ½3ÜùyÏŸ¾m/ì^kæy»(îØÞï_Îß>2ýŽÓd¸›Ÿ•à­]©…vËhÕó#Êœ,®Ý²Û 3ÖìxOÜ©hc?ãýÝA»2N‰ßÙ|¶ fÉòÎÀd²#Þ®Š 3çeñgϬºòc7djäü‘”ü¤³BŒÇ¹¯[ï ó,¼ãš~ £ûºŒÏwŸŸuïI¯§ì*´OÚv×8UéÞ§tË áܵ;*¶ÁIÐY»(¸¼Ø[í} yw<“ø.0æ~ N•ë©|1¸+ß?°²µrfÜw€j¿øþFÏNÿëÇÇ¿ÿÛG}ßçõ»=z¸#Þ2}¶FWVóF²õyõœ€É²Âês™ýBFߪ¼UþºjÖJ,¯Ð©Œé¿*}UoNÅ#?SxRyd|<Óa1†íSˆ^4ñcq¡—‚ù•¢'/»_±SU®ˆÒq&/u¬=Ël‘és”eÍJÞ‹pªøUG ò—Q¹+q/럑Íz8Ðú"?Aó9ûY­™¸ä}ÎðjùSè+x™}eñÙûYß°c²¾x}®Ø˜¢6_¹æÑÌÈ3²L>Ȍ댽Þl ÈÌU㑇/’3ò›™yKjŒAkÈÄHN̯ÿñd>â×jLñð1Ûˆæ1~Ôµe š7¢üùŽÊ»_±W4® *6gïeô1×™þžŠ=*±1š7 JÌþ×,ŽÎ\ÊÆ#ýD:`qÅÃ]óƨq_õkt]é ”ØŽÖÈr’µb늬:ÖŸU·Þ5Å6:âW„OÉ­_ªíeü ñ«ÞC<2žžçUe¯ÒÅçž"|Š^"ž,oUÚ‘-db âÏÒeëVâ ‹kÞ¸(/yŸ+~„®Eü(²Aó<š[Œ@Ñ“gKÑuÇ·‡Í‹®3ž•9ˆ?ež7$O„£oFAŠìžç±ñYûVqª¾ñ¤^Wð0¿fó¢qÙ{(ú·×ºì¯#þ1þ•8Æì<Š‰G4ñi×3ÿUœÌ&#;h#ùDsþžq«>˜½Vƒæd|€áSãfvªF9Ðó#„›ñƒxŒÖÆlaT‡ _Ší3ZÈè[µÁQ}©¸3q‰Å[Ωć í(!>m†ËÞjüÌB5±yJ p©|xt3²¹Êü.¨ê£Â‹R“uЪƊQùF|«~Îî±X•Íl¾÷Íc5€’ÛPœòÆ¢Ï#yP¥§ÐÊês_ÚŒHÿ N”‹UZl\Ö72t²ø£u«òÉø¡åOÑ ãÛÒeüZ#›hF¼³aùòø³¸"PdmùSqy8Wƒ"oNu|ÅV³>ŠhF|y×:â´‡33Ö»ì9Õ=^TÜÑ:£X†üšÉ¬';†áží«Šl¢yökïglÞÒËø\ÖÕxmi¨xÑøˆfÆ^,¾Ìú31ZчG_‰5Œ×ì:XܬÝ*¼Dñé•ÉØÒA61"UÎ;cxÐ4–á`¶È|ÊÓ5³y%æŒê¥:¦â7]úVñ+×Fóý[™Ïô™• £?Š“Ù2¢Ábœs"¿ËúDVħ‚ãù^ÅV”¼€â>£?’+<ޑ9%ãó#váe¸˜œèZ„ ÝÏèÑSçfóC…7FŸÅ{íÃy÷ø‰bóuÅîÕûjÜŠÆ*>­#š£Ì·ã#‰táôÖ¢êáQÆ(ñIÑ‹)v‹ÅÊ=ÄWFnD1ùm47ëŠÝ#ž™Œ³vÙH„Gñ=Ÿê·]fc*­ÈŸ-N…f¨q4c—™1QŒ‹>Û9ˆƧ‰Æf Z{F.•v„O™;Êš¼w„ƒÑRmŸÍgòbÒ ¿ŽÖùÅQµ}f«™5[9fâb‡Í¢ø¬ÌQÇ#™µUøÌò‚l7¢­®évÇËã/Zò©Èn» jÿvŠQ,Î1zHÇ ¿7Y|b²Ïè×£™‘/º–‘ƒ÷ñˆìRá!š‡ÖŸ¡‡æ0ˆü5ë_>ÉÁ7b7Îêš2:®àSî3»²ŸgÆÔ,¨2BqD™›¡ÝAG‘od7UèôÉLí^kE~l^»åËGÞu»GãN”¼U‰7Ñ{BòñüÅNžÑ¸gZ,Ç!{ñp¨tíõÈ‘ U‡ñ2“_#ßAt•| ä‹lNÉÈEõ5fCÞµŠ]xü1žY,Ak@ èͧØF–e¼¢xŸ±o•¯Ì˜™Ùšc¯ebº"ß Tâ´wOña‡ÇO–·ªÝ SraÔu*q kO ?ºæ#*9·’#²c¿ŒÆDù'Ë›ÂG²vÉ=ºÞmg£1Ðòµ;'t[×h,ÈÄ¡ î/Âù™wѵô"¾lÊäåh}JŒˆøˆ®WóØHìdãìxO'(gãWHèýyœj§3ãT”w‘ü" =ô·J/K#“{ÕµDqH¥;oU>2÷FÆ«òbú|À^WãeD7¢ó|?²[DÑ@ã<²þ¥“‘aeL•üàÑQl‰åDAÖæP¡ð ®Óñ¢^Ïø\õ…Ö¬@—í*óFye´"¹ ;¡‡è*tÙDs£8©ðùlÕ~Øz31 òq%~E„#Ÿ—UŸŠ-*º`1#²5f‹‘ÚÏÈvØÄ'²ÆwªqÉ_á½ Š=©²èâÅû;òȆ;eåñ¦^Sc Ëd¢ú,ã áµ×²±C‰%Œ?ﺂێC~Å)–GSñ“û‹b€Ç»®è?’×(TãªýœÓÙx€ì¢+–XÞ=5nX\L>Q¬Tù›ŠŒ•µ£ñ[a÷fɈŠpÙMÆ>,ž(/dpvA?âIñëïÙk‹hdrJ‡}W "e,Š»ÙëÞ½ˆw%®Œ‰Ê5unf¾7/»v4^‘eä³j¬ä6ů ©q¦²fD£jðÆÒõþŽ®E×£1Ý_×£—çÑcòBö9C31L¥©øTƇ³÷Œ®ÇþæTøTsw6Ç+s³cÕûU9)y6#šY}UüÑUòÁÇG,zÍãMÕ½’¿>~ïºÂ?‚Q{TqY| ^%ÍEŽ]²FrÉæ• _Y›aô<;÷^ ½«9j6dâv‡Ýgms.¯GCÉ Þ¸(þŽÄdÛÞ曳ìåKe¾Ãâ|&æ{ã3ö¬Øå|'%Ÿ£±Ë« o d‹Õ:Eü©9F¡›]ÆnÑ…doˆ_Õ‡nD?ºfïÛ¿½û/YZèšENÊš"ÑZ‘î˜Øøˆ?EÎJÜ@÷3ô«‰¥–Æ£bw }¦æ¯7>ò5 ‘^ªöG÷¢XÁ¨ýDkWýÝ‹ð2ÙªöbâQåG‰—}F8YlCc#¾Ô˜ªðéáT¡jÑÏWé+1ŸÑ‰d‡ô“á]Ëؾ £ó;è*ºx¾V©‘žFlÔâö>€š Ú#~déÆ“úªoGzb¹LÁaqy:b±žÅ|{Ïã­A/ düUÅ•5ƒÙyªw²cLŒÌæ$•‡ ž®>²®* ߉]hŒJ›Š1ì3â-ã]WcÂÅdõñõ ÄmÄ[G%zôÙ,}5§dxGöÀlNÑzÝþ­Æ/#YŒPp³ùˆoÆ/óCDá;˜n?>òëa¾¢ÄeöwtÝYïÊq4Ö2ºÙ9èþGp?ƒ[¡ÃÆ)´XüÍ®)ŠÁˆ_U·èzFN™\Sѧ¢?;.ƒ›å³ˆV†o(OXž~#¿VdÑö>{üF¸»bœ‡CÁd¦¬;K›Éé”ÙIÄ‚¬þ•ûÌþ,]CT±ëè‹û*¯ˆÓ]—ÇÂW‰s*ýL.a6®Ø„A¤Ou>šWÍŒ/&ê{vŽ>³ùÏ÷U>ìß]692Wñïz$GGÖ•Ø–å9ƒÖñot-cû Þ x‹­Ì–<û­Ê„‰l—Å66NÉö­³#Î*¢ëê}e.‹¾¼™ü3:‰äˆä†æ0ºªÏGk·ï‘ͨ~[±‹ŒO#¼ú-'4?Ës&N[}¨öÁl_ *ŸÑgfGJœ©@UßYüU«þ\…ÈV¢xùá|öðx×Õõ(ñÕòÙLjNк31Tå‰Ù¸ê£‘Î"ºLï^-OPr’7[§7é2ž ~F£bÏ ~”/FcXÄKÅÞ#|* e¼;VØü3¬!Ÿec£9Q\PìÑèÌ!‘?3P|>sM‰Ÿ,¶F8=,~g^ˆŽ½î}ö®GúGs³þÃÖìCüz×Fâb5Ö²1 ;îùsÅW<Üöo&ãŒD4¿‘MG4T[bü(v¬ÐPâ¦ç÷–?KÏÎ÷þöøÍ\ ²Åo3v Ì‰ìUIÙXÇðx{c<:/ª-£Ïˆ×ìœW&Ž0b|1½Ž¬¥G'døA6dï©øQÜRì=#ºG1YÓQ¼Vb¼k®±/ósÅö£Øh+²RÖÃÆ°ëv>ÂG†'æS,f+ºFv­‡Ù@42r¸®#ž}¡Øƒdˆø±ùȯ¼ëz̶2|«¼>¿Û¿íܬ EòÎÚhä[ªí°ùŠ =Sí?²Yý XîÍSæ ùGkï„HÞ}5>Û¿í\ÊSîÑ5f'‘®½q¯ÂŠˆv´&Æ;‹9ʸÈ2÷,MoMJœÉèÆ£éÊûÌdÃl<²‡Ñø€d‘¶.f?‡*çHßyzx™ýØÏÑu6óß:ì‰ÉÍóè³õFï™u{¼¨ èÍké©öãÍ‹è!~#=Fþé†Í‹bº¦®K™«Ú¥jo §*çÀlÄÓSt ù¿"Sf3ˆ»§Ä%LÏÞ½H–?Å †÷y¾gkLŠt@$We^æ^V~lœ¢wÕ'>Ìg%®Fq1²%ÅŸ¼qÑ܈¢ë«¾/ÎßÞg‘)¸˜?©Àl‹Å¥h\Æç‘->ÄkÖ™í* ø"ãÁ£—]dq ?WôéÍó>gmwd.šƒtSõguÃÏlJ™]W}œÉ<²q4ÞÃkïyó•8ññÉÉ%‡@‰—h,ÂW™‡h3] Z‘žÐ8Ä+“/³u.ãñÉlÖƒêz*ñ±z¿íõ_TiYœŸñæF8"y(q$â!ùG䇊ïÚ¹ÞßÌ?3öÉð²9Þ{4–]Sè)üTdP¡Ù1¯#ÆdìE±'â-âGÀrFÄŸ‚S…ùwá¬B6özó3±<£_e\ÕÎ":#±JÑ/S‰ N5o"æŒhÚÈÚ”7nD^;€ÅñJ¾ñðÚ{Y\ìšÓ*ëQürd(gyëAת:B<ØkÊ<„«3¬¯B›å-%¦v­k¤Þ˜™û2÷£<ÍUm2Ò‹ž1fì&›Gм¬m!žÍì\;¦²N„£+dæ©öcïUlWµç(>#¹{väG4¢ñˆ®êËÌ??M…/Å·²/4/âݳÀbƒªÿdèyúf6¯Ø â…É7¢¥Ò@|1\UWpgñ"ÙùHìóu-ò7ol¤K‹“ÑF€æ3Ú ¨±Æâí׊¿¡¸œáù¶êïê4'ŠµÈ&ž¯eÖÑë´îl«ÒE÷²ö†äŒp¨¾“Õ1ƒj¼f¸ºðx²ËÆ`e¬¥]ct>ИjÌVæ)ëgòFüx9ñxcÐeïÌ^”õfAÉ+¹„Åù OLªLÔõ¡8åNÄŸ*¿.˜‘#~%fqfø`1  ­jìDãFvfy«ÐñqÃj¬`PµCÕ¯Õu)ke¹ ]xñÆx´#ÛCºFºG| `ºUí#ã·|¦“ˆŸJÞ‹æŽÆÌÈ®"šwÄKÅÏGyE¶_ÁUNþ3×3ñ‚áSýeÄÿ¾Ñµ OlÓW[#ê}¶Î,ïl\CQ<õ5.1Ú^Õ_”ÏýŽä[ô9›…jÎTÆÚ5z1Fõ}vé+’1ÒIV®È?ìÄÇ 5ZzÏc3ñÝ£ñ`ù±½,Ý4"ü™x®àËÞCò®ÐA6òáüÍpuBÕ?ÙçLÎðîE²ÏÌÏê°#x1å\[º@‰ë™«6àa±A$¿Ld9Ñöpz÷P>TtÑTÖáGÉCÉ}jþÉØwfL%6«öß*îQºª.žïeõç}Fþ‘YOdW OÌ»tZñ§Šíg|+ Ývö|=‹›É¦*¿ìõŠ­¢>’7/ê=%'#™qjþˆæª¹ÊâðèD2¬â÷®Gø£µ0=ÿ=bWÞ”Y,÷hDןQ¾Pd‡xF~éñŠ|7sßû[¥áÍJÞ@ºèŠµÌ÷»AÅYõ[;N¡­ŽSïGã«úR×шb~6žtAk²8”{‘½Wð+s»e˜ÍyY›ËÄ¥ŽûhŒªnÔ\ŸÅù|m$ŸD¹’Ù,¢­Ä}æj,±sþ=zèZFæ+yX±ïŽüÉ1³F†SÕƒº•å3š¯È$ÒW–ç®8®äæ7êü /Y­â³xÝD1W–_=~"Þg„«*WÅw•ñ{SuÍe´¢XÄt¥€¢ónPý‹É“ÅéŒ\íµÑ\Ùù¬ØàáGt2±7ƒ×òáùâù 3">Ðøª/y<*ñe&(¶t½G±/ÂÉäÅ}ô7Â¥Ò|Æ©¬Aáµ:®ê'2ó2>®Œ‰Læª?¨ñ‘UâÉó¸è:’EUyTíD¡iyEòÈÆ.7Æãáe²D8X¬F¼±¹í(Ö!¾³ Ø¨½Îæ+¼¨voÇŽÆåh,³u•&Óëó笜ÎOæº:¶"W;&‹WÅϳtÕ8¬êW…(¦yc:éuàPôœ±—Œÿ(øGlPÍ-J.`1¶#Æ+ãPÌõrÓ ~¢ëÈÐð¡xnïGzÍò£æ)e½™\§Æ<Äc$E>ŒçÊZíèâ)£×j èC‘·ªïOÄSôòøŽâ¡Åéñ‹x‹ÖÆl/¢ødxì=5>1üªŸ(v­úµwߣ_Yãˆl*ºA´Uÿbc#˜ÝªP•–†ŸéYå;ãGlŒÏFdËxÊØ>‹‘_F÷ŸÇ©ôì}UÝ®„ŠM)9"3¯2vñU†?š«ä.dK.å³7·²† ¨þ„îUežÕ§ŠÓ߉ñ•x®Þc¶áSæ*s˜ß{zQ㯪S%î{óÐßJŒ÷ü ]ëŠ3È—U¿WðŽø¢GÕ'"[C6…h{ø:â ³m6_ʼnøQm0ÃGG{SñGº©àðægôŒb@FævЪÐWb„2Å?%&Gù€]ËÄ×蚇+C'C㺞±ÝŒ/)ö­úa&w(xUûˆbTÚßRìp$/Æf·™„æuæŠè¾šƒUÈÚF6^V|Ni™19n2¶ò³·žÈ&¢±ÙXfç ~=¾UO‘,NÌfYÎÊã é+šãáíˆ_Fx2~ÇäùD5†3\ª!<ÿ‹_dâID#²»Š.=³6ªÈÑÒPp0Cc”øÀì‰G¼£8§ÌËÄTüŸš,Æ+¾Ç|ÛÒ³´<ž*¼G¸"ÿcó˜Þ£k ”xÍUcR¯ QóèG×GíatÎd|O±¥Ì|ï¾âg*þJldñ@‰aˆv½2oÔŸYªðÁlJ‘ÝóØìË›ÇpZ~½xëPx@Í9È^>D‹ù€§ÈwÆ ­I‘k&®)Àì;cÓ &{F7Ýeqz4¼û G$³ÈGeÀ³µˆ/äS ?ów‹ŸÉ‚éÕûÌxŒ Ò1âUWÿíÖ?Ÿ‰»ùEv=ÏÎðÂæ(¼¨c#{UpÄ5”Ôüƒ|Ñã+ÓPü±"]Dcì8¦OEgjÎÈÌg¸XlÍK™Ø¬ê=ï£\äýíÑQýÓËM(6ÄÆE×U›RÖ¥Àˆdñ x:š{²kͬ9k-îˆßŒ¼žÿFñ?ãƒ,‡°õdmOñ©Œï"Ÿg¼dy‹äïÑQc¾w, 4/ºÑe‰LhΨìíg5¯D‹;¢©¾²ãY<ŒôÍîÛµ}8÷™¯©1Ý‹ÖbùB2ðÆ1»öøá?ßŃÆDºD¼x¼³w{ áñÆeý*ã+ˆWïsD/ó7»g¯#»¹Þ™}!`²dèݯè+Z#§Ä˜çÏ‘íF÷GxÎØ’âà ¨4³2TÇ0;e¼°ªÎÏú½_‘=ÂÉbvÄG„]«Ø¸êÊxËW4>²{oh,¢ѱ|¡¹n%þ1ù¨ëTÖƒh 9Ñú#ºÈ¿*ñPÑM-&Wæ/3ùKvºW¥£øW†§h|…VD3Š_‡ÊC·ÑRýxdLäë#4³>ƒÆ«ñÍ‹ÖÖåÓYyUläzát½U»ðbu×=|ª#üYžGÆWðª9y46FrÅh"zŒ‡çÏŒ7ÏG”µdtZ;£wÕYùzsºs¸:ÅJ4Å o\t]1YûVdÌ®!\lMhÎhžÎ®3‚JLVìá@2ÈƧHö•¸œµv垬þ#»fúÏød5V¢\Q‰ŒFöÞŒðXñ©÷Ù\·³óTÎЪܳãTfqeƒ¨¹ÎΩÒQÆ)4¢ü¡Ú Zû¨­er»fqVì&Ò-—‰çJ>Df;HŽªn¾Q`¶ñ©ÆTÅv}›¯\è"š•µfüáðÆ)öÍg×T}ûúùv»@öªØ™J×£§ÌQìÅÊfq«ùH±“gœ‘Fñù+ºÙKFvY;ËÄ°ç{‘LTœ‘<3>ÊxFcÔØk¯1þT| ²1HÉÑX¦#†×Ë5j~B¯ˆÃËèÙq,îvåvÍòU¡©êC¹fñe}? ‘mTü#šhÌŒ1üLG‘?jÞ¨ÈÄ«èåäà G4Í÷øPǎįg\lL×}_"›ÉèÑh±{/™‘‰Qž="ºÞÜ,­ŽW´ŽÌ=åzÆNØÜçkUfâó…tßÃArC4Õ5©v}ÎŽóÆ(¾“‰Hw,EŸÙ54Wņ3q%âñìF¡åÝC×,¬øiÄs&Ž1ß‹h*Ÿ#žÐUÎè~FUÈò¨ø–ÅÁì;â‰ùT(nepvÄ_e¾b³YY¨q ñ¤\Æ*ñ°Â ƒô]Ñ*ñe‹žœ¢W¿’C,>fÿH¯Ñz¢ñŒ>‹a7Z'3JþÊøôˆ^•ÜÅö™ùLñl<ŠâIW G<(­1ã¯Ñ5“G%©úC×2²‹ÆÙ¿U@:Wq!y0›ÏBf‹ª½ lM‘Þ¼9,Æ0Èø‘Â×(]ÄGe®ÏbND³BWåM¡Ý…¿:7âSñ…*‘_Ùq™XÊè)ü(4‘ T¿R×4"Ÿ7ó—(~xs¿jŒ‹øTß=ž"}x×=º*?™¸—ÑEÄ;ÂÏhzcfǬ*1…ù¬’*Wb¦òÏÈ®J/²MûyFnxA÷¿ól$ò§X¬Rðyø³øК™ýgæ±wo®¥eÇ+÷M²qÄ»†bT4þy^†·ìËÒËðìñbñ ±Ñ|4®#F"~_ægçfu€âã©Ÿ#[Ïø]Ö®½1Y;ô®1¿U×Êì´Ó-&¤ówy=¯ AÆf®›ËBdS#x²÷£±ŠEŸ#C>àáC|fcòíhÝ–&»Öˆ7u^•fTإr]•‹=÷*±,“>œ÷nˆd›³[ÊàÏÐW®+ó=}°uUlAõň7…–ÊÓÈ=%ïGcY-‘ÍS'ã›Íg´‘?ø…šígf[JþÌÜgãØõ®£ŽÉúšû|mDFÙRE‘Í#\û©æ\û^õ+/21wDïl UrI–Ÿª_x82úÏŽeüª¹„ñbçx²Žò@D ñ4ªl<ÎŒC²d±6’j¿H.¿GGæ{ÎŒ½yó2þñf?Gþi?G²‹p#>X gúD´@ëŽtZõ?KS½¯úÃÉ^vã WüCÅïÙ5¶¦Œ )vbïG1ÜâÈÈñ¦ÌÉÜW¡#— ñU[èX[äû í(¶eb‹P}5#÷.;ÊBÆþ3þëÍ÷î¡XØéw™Ø‘ýáÌú]å~–.ƒ¨ž@9ù1óQ¯ÅpÛk ¢xÑôîesã'’½‚§rW|ѨæEßYúȦ*¾ÒíëU~Fì¢{nÆÞ½kÌβ¾åôwdw›ÌŽ‹xõp"Êš«9ÂÊ5Ê ˆ_§7N‰Ó>…ftÄÎ+´=¹è }Vü á‰ÆTb×È}TO yѵ}?ãQ}!ƒÙŒbOÞgÅö«yJÑ…Ǽû™qL¬^ÈÄóhN/£µuÛå Pl(ï"ÝfcI6‡dìÍþ=—bƒ³ã´‚ƒÉŸå=•Zg¾îÌOšŠ »rˆ£Ð|§2> ŒÆ£kÞýL|A±:ã7ªXÙ©y9¢UCÈ(|[üˆOïÅÆ*üUøè±8S‰±=¾Ê{%gäÉ$â‰]g|E4+yGL^QäàÝcq!’‹øVý”Q ÒÓ·‚;ú¬ð`Ç yVAµÇ ¤k„¯JK±©h<²ã/‹ql툯èZ%x´ÙU^›e÷P|Éú·ç‘,«>¤ÄOå~fü¯‘l3þXñ[%ÎTåÄüо«~Å4'LnèZV/ ŸÂ#/5Î1_dø"ž½(6ØëOv|–·ÌøŒþªq"C_Õ¹š×²ñ'Šç =FGŇ@±¡ Þ dbc†—Ž9]kÍàñbM·Ì-~v­ŠSÉ_Yú#yÌ£å«,ÍhnÆ=^*öŒÆ¨±ÍËAªÎ˜LÙüˆßÙ¹,Ë“¡•[F6¾ˆW„'cª-*ºF×"ÛRü²CÏJÌõôÊlTÕ5²•WÕÔ\ÛáoJTm'»YáÙ ’qVˆpGø£1ÌÞG¡;F£¸«ÄÕ"™|8×:ãÓ*莱ÿÌw˜ßx8<ÚUŸµx,Î(ngcÛ(D±±B#Ê‹,G¼1žFò…:ÆŽgºPÆ|c”Øaq kLæÑØŒMTmÆþÍòžbKÕ5gTi2Ùdâg&î³{•qÞœŽ¸Ýg1ùs%7e@ÕIÄ'òe†ƒÅõhã#—”O¼kl-ˆ5vz8"¹3ÞTåV?ŒO¦ FsÔ—˜ýVs{DåJ„GÍ©ó_d_Ùœ©Ä{´nuÙ˜ÆäÙeV>ÞÑܑ㈿è5[f|gè¢k#9&ßÓ‘í£{‘~E¸£ñdì•ÑöÖáùAÖ–˜Ý3ÿÎØ,‹GŒFÄ#Âe¯yóûB ÆŒŒll}j,SýÓOÆ—Ô¹Ÿ¬Äj]Ä¿¯¢âAÕ¡Ù2Z[–ž¥ÉpG+4"ù#ÚÊuoLd«'“[&¦¨qJÁ]ñIJÆ*­hm‘.T™xüeדåƒéÑÌ\G¼Ø¿™-?ó]‹ü=¯¢Ï3À“Á¨½z82þ‚ð2¾";ÎÌõ®+öÉ줊ZzUºŠý©×"œQÞê°ùȦGì\•][Ö;øV׆ôð|/Ò!ºÎb>ã“Åoe^Æw<–~&o2>Fæ"žìÜŒ^Ne¾G[‡èDøXÎñ>+rSyŽâØhlc¶Ù}&wdÆEq‚É>‡xbñ7wˆl%²ŸWXô®±Ï*-{ñßÿÔ˜dçŒø–åÁûÜE#¢Íd0’Ç*v§Æ±¬ÿfxõ—躚“*ñ”ñ£Þ¿Æ¨6Å]D3ko;õøF×*kðÆW!ã"z*#qUQ,/ØëÞØŒý3SåXÉ _^îŽlTÅñV•¡2ùw?¢…îuù£µ Ô¸ê}ÎÊ•Å3ÄKWlSÖÝëˆUêœëþ,›Qä®ð“᯲æÛ] ê¨B“ů翽×ø»S&[ÌØsGþDëb6y8#þÐ;Ât[‘©w}f¬ˆh«ù±#þªË«#6ëáíŒ l}vÊWQœËÆA¦“  \’ñí(÷°¸XñkUV>¶¶²eë¯ÜGö6•¸ÍîwèŸá«æel#=Ú Y±±JŒVãÉ35öE àF83ù†ñ¥Äߢ8É)ãÕ˜Ve.“SÖìú”õ²¼óݱo¼Â?‹òÂýôÀð{÷*±ÆÃÅs¦¶ćÂwVîh\vºïñÆ^°õz¼Dó †' •˜ã½âGzA4”Xƒlćl Ù\äoŠ=ËèF¡Ÿ“µ ‹éÅ–gÚ*­«ðeÇ+6Å+K¿žHfª_fé2ÚHFÙx«ÎeèâÅÎc±'ºÞaKY~Gigü…ñÀxa6Íü¤¢KoÄsÆ_Þ[·|Vé{yE‘yfMªØ£9~ÅlÑû»KÿŠ~¼¹YùF¶—‰g`ýIÍ Ì<|ˆNƯÐýŠ-Dó;ò[O$oUÎ žH¿ÈÖ-­(N{ó=ºªî£Ùeo‘Ÿ[ü;üÒBÆß²>íáÉŒUýшì‰å…=1™X Ø®ÊÇH<ô®+~èóøÉê\áWÉ´*¿ˆž½æÅ©h|„3¢ïŒMÙáÉŸù¯‚3s=§Ú›¯ä%­%Ö¨q7š÷<ŽÅ’w&Wy²V}œé“ÍæT}U‰ÁY\JÌPâžÅÇôñ„ÆŽä¿7λž‘Y6Ž":—"#äOÈïMßh+<±5 ;ôøT㻪|Ô¸„樼2œÞý(Þfcp•¯J,ëˆÙY:VNßSch4ÙQäƒJa¾†p*|*x+éÎó9•Åî™­UìK…È~•ë™ù(®xsÙµÈvU¿ŠøŽìÙËhe ã»#4:ãÍ3Î,Î{tèÂâëš×!÷JÎSè)±˜áðÆfÖñ¥€J‹å=†ëù~ö½¢8kÇx×-®ˆ¿Ùþ”±­èïës&îgæ)€tŸ“í8Õ£<Èædï©ÀrûhÜòÆÄ„—STèô]•ƒ‡]ã”ù¹ ÕŽQ Rã¼76ºÆY^U÷pÚùª¯fãGUߊÜ=üz›ŠpDzetŸ?gå®ä߈‡J<ôlŸÙl´®ÈÎ#¾Ft§Øÿh¼eã#¿Sòi†®GTŸÊƇ.…ŸlLTxTæ©ãžÇŒðÈxÈŒï[Á7K£ñ‰*¯ÞÑù™øŸÉÿ™úÍeùÍ»Æâ†77WX^Bø•|ñ;ƒçˆ· dãIÖF2t³9H©)>œûv®7&²ñˆ/uÝñy•îyôì}–3-® =F ÝC8݈6å&H猇l^Šôcéfèdü¤ºŽ‘ñU`öÿñÁu•µIäÓÞüÈno®‚S¡©Æ6V½gùckòÖƒpz÷Ñü'‚ŠÝ¢¢à­ðÂüZ±eô®èÑd­øòI5®tèZs,ö kJ¬Éð’?‹nuš§Æ&{ÏÎb¥7Ù3‹Ÿ,³qÑxƳµˆ/æƒÞ8åºÇG¤Õ¿me‘L2´¢kNæÿ Š¹ ‘¼,NUÞŒwÆcdã_ G¼ |æ¿È®w282rš jÍ ,&gâöhLïÈÑ–—n]¬À1‚Ó[w&ö{¸ª¼ ûjÌ´÷¼x6âÃ#Åù,žì<%ŒòÆr†¥å –¯•ÜäÝôž‰Sž<=^™ý1»œ‘ž¿Wùì°ue^G>|þ›­•­?++Å6Ùü ?ê<ć’'”ùˆ±AE^439Rù}®äƒÊ¼":ÊœSá]ÏB%>ÿ×ÿ70/£›l ‹|ùL{½<ÅüÝŽxŽì(ÂË@‰Åˆ.’QD }Žd‹æ3œˆ7N6ß ºY™[~¯Œ·ÈŽY¼³c- ‹ŸÉ.ZšƒÆÙû•k™ø¨Ú$ãS¥æ?¿{×"Ý qhŒ]¡{‘ÍEG>ÈdÈd›•_Fž‘®2¶–‰9ˆ7ÅO™¯ð¥úQFŒv]åE…,ÞŒÏ*kÉø€Bs6(¾îµ×=¿òdÍ>+tZUÈø¤êsÑx‡Øš¿Šœ"û¬ÄXe¬å§r=ãOÌ–£uG ÈáSå©ðñÅðy~çñ­Ä½ˆ'†;ò/Õ/NÅ#Õ±º~DS•}cÔñÑu[?ÃU%NŒòPáÏó·ÈV<:ÈFЙ_£±*°˜’‰Y:‘}!Ù(ü!™E2®Ä]û·GG±åÈ·Qæf Š‡LL¾êú#ž<œvœÂ“B#CÓ&+;Æ[CDƒÙŸÅÍCÀìÁ^æF|¢ñÞ¼wt áQýD±}eÏüE2Dk·÷¢kh>ZƒrŸÙ.¢Íì#ÒE%DóUˆbWî.˜…/² 6_ñïÈÎÙõˆ?×ȇ#¾#ÿ`ü ¾¢ñʘÿF|!Ý2PÆ+ñ.ºž] º§èÁŽWdÉìPµio^†ÓT~31ØãäoŽ7.òEäÏö~äkhœbïJìCãÑýLLŒð<_õ»¬>~dchŒ÷™ñP‰Q<¶8•øÑŠp¨ü)| U]fÆ2»VìÙ@ô7â…­™Å‰/Š%–Væ~†Ww&0\ Ì<^mKË›§ÚÂ…øˆh"ÌO«ñ*Z+ÓuÆ~Õ{h ÓÇó<‹C½¯Ú9Ù3šoùÈê1âÉ eü(r±œwoœ¢St/â)ò1&gņU}Fü1ÿGPñS5žÚëoÕ˜‘ÇtòüYÅ«ú!ÓMæ³.ŒW/ÎGëWøCþ¥øþó<Æ_$?ÅO"¾›b~Šä˜1Œ?DÓ“!ãáAtv|dSè³Ê35Ö!^2ºhx÷•5ŒÄ;ÑVâÓW$?{Å …¶/u]ŒNÌž^Þ(Þ(¼D¸Ñ83•8ÂøŽì"ÂAÖg#yF~¢Ø±‡7Ë*Ç . Hḧ/2ìßvžÇ«‡WY«â{2óÉ^gþèÍWüBù„‡gâñiñ(~äÍAø³6“±9dÃh.ã%?¼ëJÜ}‘= k0Ýy4ÙÚ#ž”ñ–¶7>+‹3ëãˆ&£géz÷Ð<¯7¦ëzÄ×õ9ko–žc¢1?þ;Š,f"ZˆOÕîU~#z*#r­Ø=³ ;6S²ë°4Ô˜ÀðØk¼êÚ,~æKª½Gt#½+1£KvÊš=ž³úÍÄìŒßG4->„_‘¥h3=yt#^n“"ßPíñ1 Q\UhgyŠì2ãÇŠÏxsÑ:™F|Ds•¸Å¡ÈÞ>Þ˜§ˆ¯ˆ_ODÏ£…ÖÂ]±F“éMYŠ ö~D;Ò§²þŒmzs"™M0y0Þ#~UŸE×UydìƒÍ‰€ÉZ™§úµ+-v/²+Ä;Ïô¥ø‘Çòs¦å9cKÑE×-măâÏlˆb’YgxÉÈ€Å:û·ŠŸéE±_äë >%Î0ÙGq.šcDZøá‰|Wå áe2Žæ£k,æ©1"Â…Öâñ¤Æ;¦wÏÒ‹ì0š«ò‹æDŸ™Ž¼k~Dº²cþ²¼ ˜SÕF#úÙq‘2±Ã›¯ŽUîò“½ŸÑ#z¨úqç³6Ÿñ#ž”õ ž.EööÈæ¡|Ù.ÓÓWD×£ÍA44ñ«@Å×Ù|EJ¬Udæ]ËèžÙÅ«ø-âσ¬F|©q`„ïH‡l-–WÄ“GSÑ7’›bê=Ä›?нÈ^£9Qåá´×‘­(þœ…O4¯:÷y¼§"_ŠÆ2[Wch6Î*6­Ú#™‘¹[;ÿñ‘—C6V1?Ìúô7Ša_ˆä¢ÈF•â1ò/omL‡ê|Õï]ã É'ë—ÞüÌu{O±c{¯ºDù8³+;F‹(ž k,ž 5(öɱb¯ê<‡lüÛ È¶˜ÿÛ¹è>úÙ±‡ÛƒÆyø½y ·‡ŸáøDWbˆê'‘Ïfu§ðéáPm=ã#‘}*¶«ò“‰Óvžå©Ê_F~*¿Ù¸©Äó3FñK&ïzÅ~=Z•|]G¾–¹Â’o&vZ|<™uTb›7&’/Šß†–Ïü#’]ä›akóé#ò‘ˆÂeïGë@ô3öÉÒãÛãÓã ñÊ®+¾‘…*Î ¿‘EòUpGü0_Žð{|Fº|,¢Ëð+ö†dWµ}™9j¼DëŒpDóª)öÄðDéL±C5Þvðª€â˙؀ðª1…­™ó®gdÅÔ±,©>áòðDx£÷h~ªO*x<[a|z<0»aq ýÍâ‹ØšXl‰èdõ©ðˆpG¶à}fz«ð„è¨re>ÑGvɯ#6° àdãؼh\dÃ(~(~®è°*Å'#ZÑÜê¿QQøSâGd¯ŒN%vUÆ2ˆlÌÃÁü{D¾èz3”8¤ø ›ï}ŽääÃäñü·b¯ˆ'5>x¸U¿µÍˆ§gº(F¡¹ˆ†Ê’5­èõî£Ï‘®˜Í¨øU{@ôGùÈȆÍe²f¼xã2þ¬ÒV|—á¹ñžõ³LìŠè)x*t½ù,Gø#Ûc Ä ¦gD'ZoV7‘­0:_†á÷þF¸#œ*?(6¨±é‚ù«JK‰YHfÑçÈç#þ=¼ŸÂ[ƒ"ËÓm4ñ“åõ\C|{ó˜ÎŸH‡èZ÷óõL ˆl+Š3WÔu¨|Ø96‹ Š'è£çì™ÑhFsU{Rè*t®ˆ?ûÉ*+WEo̧=ZÌ-tÍÕ/‘MdbQÿdó‘Ì_UýLEÖÈ&2¾ÑÏ\c¾Ícö¯Â ›b¾ü<.2öÆ|ÒÒŒìV™¯àUù†÷Yõ·ˆâÅBôŠæ Pèz½³yÊ}†SñGeM‘¨ô”±*¿ ?ûTù Ã|6ò}ô™ek°´•xÅPn+UPìt$3Ú/‹ŠŒ-„ádô#z³\è(kˆâ,âM‰ß _Rd`Ç3VíLÑ}†/Ÿñ?Õß/Ì.˜?1[G÷ÞÞÌ;âÅBÄ»Çð)~¥àVã‡76³~ÕGª>Åè?_Ë΋láf1áÊÆ5î©8"ÿUy`1F‰sÞØ?‹Iª®¯ZJÌSu¢ÌÖ‹xa²¯ÄG6NSÞ}e,ÃËüEd·lmv~…¶¥oñyü1:ªžLœRç)þ^½¯Ê^‰KÞxÄÇKÄG„‹ÅØl¼dPñµè3Ó½2–ù€wÍxÉÆšˆ–G;Z/ŠÕž_ÞX5>«6‹øE¸»@z1"Èâb9F§Øt&®"^2¶ïÅ<6Þû;¢§ŒüNÍh^–/”ŸY¹3ûcþ¢Ð‹p2Þf@ÖV*ãFâª7V‰_ªÙ1j¼e4*÷#¾Øç(v°1dcªˆ§ÌçˆÕ?#<–O6Sâw²¶Éâš2ÞÞ³¼0](~Ùƒ"zŠ0z(çxrfrd4#ß^v\4×ã]óø‹d¬èÑD È4’A†¦²–¬Œì|ïïHöÊ};ÑŠÍÆ#* fŒžwO±ÏÌ:ÌNÐu¦×,dõlçd|†ùd„?¢ÉüMQö3Ò7[C¤ÛˆÏÎ3`4£yh Ñg»Ä7.‚ÝÈFÔ5D Ø:âÉò…tñÆÖ—±Ä[´–h=Ñ=eŒÇGÄWE>¦Gï‹èãKùœá×ÎËÄ‹{ÄW”ë*¾çÏÿVtÑ‹üág>¢ÌÍêIõ=;6ËzŸÙ‹ Jlb±ñÝËêìy>£Íb ‹].Ækdl}/dOJ,b>¦âPâ‚Èß­ªþڈǙÀè0ÿ¾ÎâYf½*fOŒîu¿¢_Ä£˜)xÈ~£x¡úXÆ'™ +v£ŒQd¤ÐezQô£ÆZÕGl[ÕW‹³ øšÑg²W}áóþÎÈÓêØû;¢ÑV}5¢p"ÞÑuÆ{4?ò!%N©±J­§kì5^~|àµ[|#|²9YWüõz|“‹æE2VâlôžJ‰>#üê¼h-£¼(t-QüÈø7ãA± ®ëº2—ùa6fX¾""\þLüPc¿w=£#˧#öRÉѺæ͵k@Ÿ3ÀòŠ2¾¥â`¼YZÌÏ¢¸ ÐYWu|&ö)´nOçÌ2þѲ×/Θè:ZC‡±ø âPmŸÉ&#ÄKÄ#Ëæ+v”Y‡‡ éÉ™ñáSãЈì#ùglNÁÃæ+ºg¸ü™îU> þh>ÂAóÐú«zÌØ‹ JüPì2šÇèZ|N YûTõ—Ç|™ñå]Gøžñ*>gy‰ìñ]Ïè3ÒŸj3ÊzU?W×íñkÿF÷^%ErQxRíÔ£ëýmy²c*þ©Ú‡7Oµ‹ˆÇê<;&’"<Þ¸ÑuXZ¯ˆÿ¬?²1Ùõ*kÏøSV· Õ.Q|‹èD¼ ˆüŽ­ŸÑÉŒWlE±·Œ} PíÖ£—õelYÜ‘ ©18+Kä›Ì–™OD4Tž•ØâûÜ‘>ØçÌZØ»™XfsÞ5%æTøÌ謪­³q^X®°×Y|ÈðÃpDñYñiF#â‡ÅÓ(6±5 ž™m*ñNѺÆø@É]ËÈ? •¸ÅdfÇÚyYÿYªîÛÈÄ*†Û“[$ËŒ¿3ºhL4/îEq&‚¬"ZŠ]WÖè+Ø}Å~Tz í()¹Í®E9C…(ycFÀâÎÄ@¬m1ZQœShG´<ü¾Êú#ßôtÉ9ºÆll$N=þ×T½ù£¶¯ÆtÍâA8ÐÚ™{t"ظ‘ø]É ªü®ë‘½Ekò|(¢åëˆÏèïŒí0ÛWøQã”k­_±I6Žù7º†äññáËX±Io®ÇCFŽŒ6.C/²iFKñmÅ¢ëÑý¬©þ†æu‚ê‹Y^²òEºŒìÅ%®G Æ%ﺯÈÕ›Ù¸££Œe±ÄÃÅh(ã½¹ _F&h›Ïâ‘Å©â¨Æ^d›­(&"v>ÂkÿöøPpx™£Ø²ê,6eåÀè+¾Ù.º‡t¢ÄŠ"ûGã½ù/º¦èÝ‹ôêÙ«77¢éAFgvž‚SÕ‘ÅW~Ð}%ÖEc£˜¤ÐWÆe}G`6ƒt¢ø€BKµ;fûŒÆz㳺Vã1£Q‰AÞد‚]Ëò‘‰5UP×ì]C÷³vÄb»Îh2]ØkѺT[ÍÈñ­ÉØ›Ÿ‘‘{"[UmÝcòUeáGóŸŠüÑ\6†ùM†¶2.».Ïo Ð8{ÅÂÈo¼qTâ–âWHFnDãÃùlÇ"|·‡ Ñcü PùöxóÆ1Y²u+÷¼qŠGP±ÉÈŸ<Lo ‘>"ÛB~Êt„èGqÅâe6íÑðƱØ2jˆ>’Ò-óñ~\[fv¡¥Ä7FíÜâððÛqûAköxŠâfÄš‹he}±B3ŠwÌg•¹jÈÄ/…±G1ÂŽóæ1=d×ùwWÜÌú›Ç Ïþfv“‘+ó'o®G¯Õù(~!óæz¸Ð4?òëÌÜG6xcPcˆ2¶¢vϳy6ÆÃÉhªkSí â%šÑÎÞSñFqÅ™ <}2lÀ®'â%ãç >o¬Ë"@òѹÇOů½1*NÕÏU<žTG|zt£Ø à@öƎIJÈ"›Žô¥Ðl—ÅK=ü,¶eæGt£kv~ß"vQl­ǘx¸-oÔõ©üFsÈ–{ÎÆ„C±cïº ?®àðGgÖÅxy¾—Õ¿"¿,OL¦hž ™Ø¬Þ³<)±0#…§Œ­¡qL‡Œž+2×_O,0¨ÄC뫈>º‡ÆXü–öìuz4²÷TZ‘n™ÍÙ±ŠíDqñžY“:V‰™Ìf"š‘ï0yzó•XáRÇ¢qŠWlOKh ‹ƒ‘ž”¸ÎðDs½ø¤Æ†{6 Åó|ýù>¢ÅbsÖ¶#–7en„3ÊŠ¾Ùšè:’-‹k, »öè)¶ïáöðV “'¼wtO‘%»¯øâ#ÃÂâsìzVoÑZ#º;«@Æ6#aºbs]d;…7f_Y›c÷"úÏs#¾X.@x<úïÕ˜åÑG1F‰áï0Ù ¾ØÚÕ5¨úWî+öñÈp+òUq+4#<,¦ Ü*o,~+sTÈøšŸ‰GÑOç?·øÔø©è•Ù¤Ç'Z“â§Ñ+¢éñÍ|J]K¤‹[‰,©v€däácü*±)Ò“‡7K?Ò1šÏÆ1@¼E<{Ÿ->&_6.ºA‡bK‘ÏUiªø™o0ûyÆ]‹|ñô—±Y&ÿŒF´N{Ï^WÖíñæ+ã^%æ0¿UìRu¼KžÇexÌÊñÙ„çNæÃJ#<©ØkÄâEx?œ9ÿÑZØ}e<â›ÑŒÖù26ºoùó€Ù¹‚cd^Ä ºÇ|Qá!Š‘o `6AäÓ£ ÄÕî34Y,Îøó9o.ºb)âÁγã”8¨ú ZãáD+×Ô8Á|5Є“ÙˆâCLÿ âO± E§ -™µ1|,þdl!¢—ŧŽ·¸•{QLˆxöþöè"¼ÑšF4¢k™ñÑ|u<÷ŒKñ {Ÿé3kg?–~öžG›]gzÏÒG²õð0ù#œª¾=@ó•ø†x@zEø˜²8Ä⚇îÛ5ÈÅÂÌßÊgtM¡£È—³ˆDGñm¦gQ܉t¦úqÄcÅ~~•~äÃMæߌψ·ŠÿG è/šÇð \QŒÊè7ë¢qJÜPõÍSb¡b7²öªà±¸ÔËôÌ⺇>[`~¤Ú‹;ªmD±ñ•¥GKå“ù“ÂUÕ˜”EHwG¦GÄ«GÃëÍ‹®yóU[eçâõÆG:A¼ex`ñ&’µG“ÙR†¶Ç‡ýÛûìÝSÆ<ŽxŠl!ÇüÍ£ÉÓûœYç3þhŽ" gtßãdzéh®ïÑRäëó/‹'Ò­²&E6Ê8K'¼ù?›ë½Ûû=$÷H¶™XÝøV|;š[±m„ñ”±WFKåÁ—‰KŠ(tíXæ“hLä ŸòæŒÖÈdÍüL¥¯Ê.âI™LŠÍgâ'ºÅTÅW³ö­A‰#Š®3~¦Bä+Q–‰-‘íEvKª?Ùñ^2áWtéÌëÈË›ËâADñÉtîG2B1O¥ËtáWùV|/K/z©͉lñ•¡ƒìÍeô*kxDÛ¹¹+rPæeâ²'fŒ4—áÊŒg±N¡çªWKé!ÒGƒ¢¸ÆÆx÷í5շ٘Ȇ˜ <ž<Þ”uy÷Tþ\Θì³x£˜”Ñe ¢ëŠï{Ÿ™ÍGsž¯+²‰|ñæÑŠäåñbÿì3ZKÖ†Õ±‘ÍysÕ€è2_E÷Ž¬Ÿª±­‰Å<ÄWä *¿QlAc"Ý°¸`ç#ZgD+’—âã‘Î<ÈÈO]oV®è~fŒ¢3lýÏ㘾ìØ(^(ñͳ÷Ñ»¢co5¦DöñeçG¸>ÇóXÅþ+6Žî«öéG‰!Ûf÷˜üU)vi¯1={Ów6fEòG¼"Hgˆ^ÄSÆ>"_ðøÈÚu$ t_Çt¥ÊÉËì’áGôŽH~ÑüŒí0ÙÚ{ÎŒýX`>‹ÆÛ¿#¼ Täµc-«¼±xáñ¢ø§åE™«Æt­ê£•k mÕÙxUÞÞõL,‰lU‰]j|ˆxÉÈ•ñøa²b2Pâú¬“+ã!à òo‹[‰Ÿ] Ú óoFWJ ‹æzq”ñ…h1](6Íb±7—Ñ@ó£ëÑz2ñ-ÂÁî³ñÊuo âÏŽEó™- Z–®w-ë/ˆ?"»Íú"âË£‡äé#â7kÌw=ˆxŽüØÎEs,-6fÞŒN®ÏªúÑxDAø²<Ÿ,†>SpØñjüQhxã#=©1Œé¯›v-£Ø`„ŸÅgUçQü©È>‚·- U{WeïñÂäQô£ÊѱuÕT~#g×Ñgx]ªöàñ¢ÈY•i4_¹ÏÖåñÂÆ3`~ÍxµcU_ñ®Gs¼Ï‘ßgh(øQ B×>íg…çhÏ×#~})qPsÞ;ñ€ð0ýd€É9{/ë+z(Xz^†ŸñY—27º¦ÜËØê,ÝDºŠhDþëሮ)±§jãh,ÓâñgñTlÜÉ>Wp¢ù -6žéˆñP—‰ý•x‡ÖÅì¡Ó—ÕµgAñ§QŸ@4>•ŽÅ‰xñG£²¶ èM‰‰hŽª'E¦Žˆj'(³ØŒÆdå\‰_#0“òa{ŸÉÍ›ÝSDzëêµ,OÏ×ÐÚ³z‰äŒøa¶ÊpfÇÙwD?Š‘üUÙ)÷"|Hw >;6㈯L¬±¼Ev¡ðÍðwŒÉB§™¾¼Þ|UnÎèšB+²2ó£ëO‘Í3ßñè)±Á¨=G>]=ˆ—ª£¹Y:(ž*ñ·î+±.ƒ òÓŒÏfu‚øPü щäáóð)ñ@‰Ÿˆ/„ÇÃÇp#›VÖ¤Æ •xE¼Um(Š©Ù¸ÃüLõqtÝóµŒýÙyhLÄWFö–VÆç3±*Šs=5.*z‰ü‡Ñ´ Ø²4áŽâ¥j÷/–on¤O~ŒÂÏd­Ø<Ó¥"4OÕS"<>|h‡â ªœÞ•Ud³ˆ†"ÿŠO#è’©Šg2‰ü—ùduMˆ³mb+h>ƒHfÌ7¢XåUùÈØ+âÉ»çÍg²gx(¾£òÅlðù{súŠíG±ó[o¼â_L'JLøTðFþ®Ä•D“áŽâfÅWoÞ`~nÿÎøO–¯H—Ù8­ÎõìŸÅìh½ží ¼ŸÌî": êÞû›Åó(ÖDrAx£x«Ø›Ê‹b¿‘N*vàáG6éýшÖS•òyä ‘ ^˜"ú_4ñ¢ÐSíÐÃaçE6îSãKä,îxc˜=YÚªÎѼȎ9)|zø½ûh¤çlÜQÇE4_l\DC‰EY¾¢ûLoÍHÇŒŽÅá]G8m…'ÅOUÞOåoÄsÕæ#^ï{D¸è^4É8Ã[Ö._Ïă Þ}ôÙ»ŽæG4Ù¸ªÝ!üÊˇ:‡Ñ‹|\‘ÊGd· }ƃ¢s†Ë§ø#³ æsì3Z â+ÂËô@¡½"žÔkÞuÅfÔØÁh{4.Å#¾½9ªL<#ÈàÍ^÷dÅÌ×#9Îò‡jŒµ×#;RñD~ÀæDc,]U†‘¾™¿£XÏøRý@µS4–Ãå銭…Å ……Çh®——P¬Êò„tÎl!giUt‘Å£€¢?$çjLC6Íh ù¨±H¹fy²¸"Þ3rD¼0ìßÙøÀt‡ì=Â…øQyz¦ÇÆ z[`¸Ù\%ö(4"¼ª<21ÅJGtOÁåñ„l^]sÄ[VžÕªðÑR|—­ƒÙ Z·"oL$KÕo‘  „ÇÉƌؓz­Áã)š3‘ YœPþöèxãí8û7ã?ⱂãùºbWÞ5¶Fæ›Fƒù‚ ªÜ¢8aq¡èE>Êø²¼0Œxa¶ÑÆ! /­ÄAU¦‘N#=fpgøAó”ùHfÌf™LTˆè+k¬Æ%Æ“ÇÇóçHÞØY¾ÀÞ3 Ä^tÙQ4?Ã+ó5(>áñêUx¬ÄûYµ;ÿŒp!üj¼QyC2ñìdzŒ?#šÞ|5.zóÕØÉxc²‰p¨~íA4<ùD~ÉÍUc‹ÞxûÎâZÄ/‹GÌŽíµg¼ö³ê{êgDÛ»Ž€éÞËô_õ_%î0»ö®Eòöh ÚŒ¢¡êBá#Zw”kj\Qp"?Qõ¨Ø ­ŒG4o½Ofý‘}¨þ àŠøAc,neÝJQÙbd÷L–ì^F†ÈÞ”8†®Ùu©ëŒlOõM„O…ŒÙ0Z·ó=y{óTgqTå[ëñÃp2\ TçfcÅ󜈇JìfxÕq=e}Pl5ºÅt-$…GGćr=Ò™7ŽÅÚ¬_©þQ‘µg#>T]D÷ݲz­Ž«Âª¸¨äØuåï D6äÅ”YŒµã¾X Tr…B“Å e¬â[™¸ìÑTp)ùM“‰ñlŠcJ¼ÎÚ;‹ùYTäÀðª6«úc4×^SsYdÇšÉVIv¼ýÛ›£ÄstÏòÆÆxã#\Ï ¿ÙXíñ‘f{Q<ˆþÎÐðÆ£ÏÈ"ŸTh1¹£û#¾UÕ±‡gÔ÷½õÎŽ'@”;¢¼„|Â{ycØ\Äk„+ò ¶f÷öžbL>*¿ o®7^ŒE÷"y Q\}¾áG¼0™[ú*>Ä;Z³{OÄ/²uÔáÍ‹®et¥ÎtˆÞ£˜„ «k¶¶("}"»pEë`v¦ú›‚ }Žx®Ø™*';Çã AäÓ裉xŒøQô§èÐ⌀ùšºf/>)<°µª¾¤€¢gE¦*ÍŒžïGòUéBñ?5~رŠ}«´#_÷h¨6‘ñ“È×"?eºc6«ÊT±­ŒÍ ˆ|#âUå)úÌô…⣩ÐEöÙ ËôXÕ“bÏLGÏc*>£È¤âwjVi0¿õp±{ÈæßHf螧®!¢ƒ®E±V³–VOUÝ+ºˆhFø"zêõçûŠ°ÏöºÂ¯ª»È§b§ª³±ÞxÆ¡ÞSc›Ãl‘É@±ûH?ö³7>ZCÖf¼yÌÑõh= O$×(!¾¿x`8<ÞÐ=o\Öö#[S| ña¯)¶‹|]‹lß›£Äªˆ_wTûTméÈÞcãžÇDq!¢aÇ{ Ø®‚ƒéÔâd€lµ÷U™¬áQ×èg¾‰è1›c>T$;æ–?6ÖâŽâ 7—ÍQâ ã×æŸÈÆU{eòðø‰ÖƒèXþD>åÝW|ŒÑŠdáÝl%«ú£7bg,zx£±_SäÍÖ¢äC–w‹ñÅìO‘ƒ½ŽxõÞ+œ=þе,Må^Fwö:Šý™xìшpz2¶ìѵü29#šÑ\Õ–-nÕ_,}ïs•F£ÂGv~t?ZýÌ|O½¦Æ0ﲳ翙_Dt<\Y`ëTôËüß»Îî#zê:‘*ògèÝ÷þŽü[¡cùòDÅÏÙ¼(žFs‘™­dÖÌd–}) útdÏ-&›Œ}©6‰l?âá‰ðGü(þÎîWìŠ]óÆx2B×¼¿=šÌw3ó‘Í!]#}dlGÕ—7UìE¥Ù’‚òùÈ^oUßûøÐéfÙ[óÑȆ=œ‘>#¼ ”x“Y§·¢¹Èö/Õ¸”±_¹{¼|8ïˆV•&Š‘< WFö¾*¶b¯]WâÂÃø‹â®ê¿‘Î"Ú?úl׃øÍðÀæ3¹Fó*öÑŽìƒéV±Gv_õ4FËxQäÑÉø™Ê—¢S4V§øâWÕU%öD øÊóu¤S‹‹éYõD?šex2¾ìñéáˆæEñÓŽg´4‡ù(“•bˆWfoÞU‡LžŒG壕‰ƒª- Ȭ%š§ÌÉÐGëcx˜Ÿ{8YÜð®1›fxï ÏDáb±Ìã}öè3|L&-ÔØ`ñVíΛ‹î!ÿõÆ«‰£L_‘-D¸?ÈÎÛˆè0_WtÇt¦Ødt]+ ·Å¥ÊDá1£\ËÆÁ(ž*´-o‹‡LGŠ­GëŽ|H¹Wá[ ²ËlÌRb+šÏb5ÓM†¿çϪÞU\ U–ÑuelÆ>³>¬Ò¶c*q/’-²ˆOÕXâñ¢Äv%v*ñ7ƒ?¢ç}ÎâåG¥aÇF6Íâ:úü| ÍW|&ºæꇊýxãQœfc<ºÈ#ÙvÙläsÝèšÊ £¡®ËÚeVî°Ø\‰#c˜N"Ÿ®3y+÷¨vƒÖˆæ¨kSâY4>c[ _Ï8£ñ x¾œA•wăÅÍ ã¯v¼GW]‹5>6ÆûŒÖéB½nï©q Í÷xEëóÆ"^‘Žv6Ψ±ÏÃÇô«ÒWt­èÑcþáõðDtÐgÅ-¯ _t-ëû §¢7E?ª¼_l=ªE¾•åáTð+ömñGs3¾Šð¨8"*÷vƒb+hŽ7—ù•â+vŽw/‚ˆ5f<ÿ­øâ#/®(㯿_Qp±ë™ØÞ¿3ëÍÈÈ‹=ÊÚ2³øìñAfœQŒˆüÙ^cþ¤øgģţòe¯+kµ÷^÷¢uWâqD?Ò—gƒ‘ͳØâ’ÇgU×DºPcÓ/“Ÿ2ߣ‹®1[Dc߈¶ ,¢ñöšåƒñÉÑE|°øÀðGºËò¥àUì.zYÜL6ö]±o_f«Þú”{,¦0{c´Ðš#œÊu$[o¾ÙnDËãK±Q%Þ k]oŽâ_™ØÅbRd—Y}E<2”kÞ˜ ÿˆ†böÇÆ!>•xÍCt#Ùª>Ù£ÉâQ$Ks¢˜Ñc¸U?`ò‹äìñìñ¬ÊÒÒõ>3úü,N0ÚNÅG²÷™¿X~n<¾U¼ 2kBóûòð{t?B|°ëªUhuı Dö†ì>"¾˜]2:–f·,½¹l=ȾÝH†L>hL·¢C‹×ÇÖ®ØKFß?û¬ÄUn™ued¦ø|$#ÌwÑgƺ®øw$CO²xfÑÅËüÎŽc±ÈâQèF¼(qË»ÅÚÇH¬UÆ©>Ñ÷èUÖÀÆF|3~U»@ã£xÆÖÀ Zë¨_+6gÇy´‘LŸPpY¾<=F:°óÑudÿL&Ùu#*¯ þL,ŠdÁä è#Z“KTÜLÖÑ:zŒâO±3táUø‹|Éïñ£ÄÄSeœåÛ£ÉÆ"¼—¢ûLìQ|ŒéA3ÞšU?eŸ-N4&âíù]¹žO£qR±ëj|Pi°ñ-¤?æûQLPm‚]óè{s¼þ3´³>ÎüÓο#DvoÇ)vËô†h{×U^ÙO¿žŒ®J¬TmÌãñÆð#¼ÞÜ,NËO´F·b“‘LÐx„“Å¥h¼å…Í·óÜÞ»…(N"Ÿµc‘|ÙXĺÆâEÄÓMD‹ñbi¡u°ë[õæ0})6ÁdÛ Ån+ø=[R|!ÃúÛÒ÷pv­ï#xW@µ…ŒGó#ÿæ2ÝE¸™ÏÛq*N«”8áá¬@†²Õ }f×ÞuôYý›­+k+Þ<%vdã1ÂíÑŽ|6Ê!™X[±ÛŒÝ3ù(>jÇ"Ñõ×3ª=gìdÙz%^ª>ÍÍâRh©þÍüêù^$CE¶Þßêü dô÷<†ù“CÖ¿X °8ßSâ‘âcJŽp"¹Ù{-26©ÄTEöLŽÞ8æï,¾?㫬ËÞ÷ìE±OÆ3oùbŸÑú²2PxQ|?âÏãÑÃéÖ›ç½3¹#~=:ÑgÅ~~„g—Â_5.0[RãšË|ÈŽÁáá²c‘ÿD|E´? nåþó=Õß#]F6ƒp{|fìÚûÛûÌæ+sœÏãªrüÆ¡ñÑýè:ÃìBEÑ}o‘oŽ@ÅNžÇ¡ØæQp¢µªò´{¸•¹ÌߢµEôÑXÆŸ¥•±mKŸÅ eÝÑ|;ù…b×Y{Tç0>X,bšg» (v‡ð)óìü(þ²8«àEoTŸcP3‡Ž /jìTm_å'Ò¹GÛ³˜Ýyx"ÙEö†Þ•˜§Æ/ï>â‘É3ò±ŒÜ¨òB±Ïã]áÙãÅ’h¼Ç³µŒ(´ûòþf6˜å5Z·YÙ²±JLPb ó˃â×Ì>?f>ìÍGºË®1âW‰-hŽÂk4Þ»Çt‰€Íe¶…®©þѨðäð°øSõçqY?³× ÞŒ^Ù}…VäƒÌ¾oÞg56Ek‰â– ‘-²9ª­FãY¼Qøyž›‰+ª>Ðg>Â]÷x­ð`yA|F¼yãïïˆïˆ¾Å¯Æ2>Ã|°ÂK'™¨1!Š#‘"T¹y¸Ñ}4GÁ©ØP„§‚‹Ù>óo·ð®ÎG|y8XìCÛùŠÞ‘0>=Úª(´={ùuVæ·ÇšÏøQ|–‡+â3Zo4_]s¤Ÿˆ×ˆ†²Žˆ·è^&F±u©×?œw…¶˜ÍUåÌbCÕW2ñ„ñëÑFöÍøSÆDþƒhG¾ ¬‰ÑŒxa1/âƒù­ê(²‹æfìR•!ƒ(æ!Ü‘¼£xŠè#\ˆ6“¥«ø¯FÆ«~ÌdËb,³c5¾2ü Q¼C¸+ëPÇF²VןCÙ˜ù]t áf¾`ÇzïÞý(–21ž£¹ÌO½y*(²ËèÅ›ÉQñ%v¯ª3´žÂ­Í‹ð(6‡hÛ¿+öèeîG´UÜY9diE1I±Wï^4Ñü Ù"“ éÌì ]b#âMÅÇî¡õ±Ø…øB×¼1,f"¼H.(>eù´ó”ØÊ€Ù8¢—‰)Q\p*ögySîeb‚‘­Tm.’{6ž¡ûÞõª\Tü Ý•ñÓÈ3ëañMõIåºb“‘Î#›DsTÞ"\ö¾"3¤34ÇŽ±üDóoŠ½(üFöáñ_ÒqÖv½y꽈D›ù´G“ÉñXõW5VxŸÕqÑÚ=<ïÈG¼¹LÖª/ª`ç(2e¸”ëžL­(Æ<ÿü‘C¼2|] úeV7{÷æeõªòbÇ3>,ÝÈ>„ áÎòñÂdùwÄw¤SôBxO‘=ªkeºt¡ÜSt¯úš—õ „Cñ Í Lî ­(FdøUýÒ›ƒüÐñÆpØk­ˆ_Ä{ÆΣyª¿+¶®ÊÀÎÏص7ñ£Ð@4™ßy4Üö>ÃÆ3y uG¶mç1YD÷#]¨ëÉØjdŸèZ${Ä7ò?"“èºJ3k'*D¾ñÂÆDôÐ<$/û™ñÉÙKF¾ŒƒÈÆm›ªö]g Äˈô9ËSÅö>ï3‹›öZ'Ñ5K‡ÅŒª~™½_ð_?>þýßÀX4gtÜ,ØM¿”XªÌÍÒRÇfükTéT橱P™?¢C–« æªNœÑ¸ìk¬XËJyuÔ¨4FèÌ‚Y´gøp†f'þŠŽ³ub÷(Ž•ÀöTÏG{‹ƒY6yw¨ä÷J=1;&ÝI¿]¼Žè§²/¯ÒÊÂÌúy&Ì´ÁUõé]|hì¨ÝPûu#ûCÔScxw×õñbÆ~g5¾pGžÿ†wm;>FãØî¼? ²ÛSêŒUûÔtîê+ ¬ìÉÏ€“Î.²½ÔUýÔ ¾‘3€ÌüÝp§½j7¨{—:öü#ò—òÍÔŠª_WbÈ©¾èí³{ÆhL6~ªö”=›°ûâ ?¨—h°qlŒÅ³²~Þm«àÖÙé›4Gi¬†;ñº¾s<¹ûÞk6Œ®³ZsZOÍ‚»¬kfÿ¬küOÿ¨{ÌÝp ]pJ¿wþn¿]ÝÚ ï¶žg`9Ûî³wžÍ }ŠFs²ëèXSdïì'è=Ï´‹¨ô¤£^d•~׸™ÐQ'VâÌ.åõ$Ûß}NvB^<~«ÎñªôG|¥»Ž¸ Üm­wã—Á»­‡zÎس¾›ž~à?¡cï7cÒ}vr< §óWS÷Iùᔵ‹}^{Ê= «ú‹èÚÌþòIy{/•s£´wûÃnúdãʼnkØ3cCwtv>?:?«'•™3gÛÎmóîq2kwÔÑlX¹&%Gœ¾7»+ÌêßÎêŽÒÚeG»ö­‘~»ãÞÈ>I=‡ÊÐéÊ÷èl|ö³'ûå¬\×ès+âAfÎ ú»¬>ÓßÌæGsg6~®ŽW§ø©{縧ÜîÈsvœ…ì„Ѥ ×n<§ée6ÌØó¾'Ùsí–Ñw³Ï]p×3üÝùÖÍsøNkŸ>C/ìÎk§Óš•^ôÊ:e÷¹uvôÔ2:ɳk’jkÕÙMìî·ÏÞËÌ‚êÙYW,ZQ?ªý蕶y÷<Á;¬í„5œxÆ32ç»ËÁrÏ»÷Pس«kðײַ®q³ègçì8oÞmÏ>¶â¹u|W½6S¾3êæ®üÝuîø—ó:vîÙvôâ+~t²þ쌽#qqæøï ýŠz;÷i™üs§øÑ•óN…lÝн¦îýÎ)2í³Ÿ²ŽžãæÊ^ûdÃàäó¶kòÎó‰•Ð%Ë»¬{Ÿ'Ô_#´Oô¹w†²^}î¿FlþgL;á´õÏ>›Ú±Ï¸+ìêa¯Àaóâzß VžU¯Æs:Í“aVl?ÍFÞ¥ß3’KFcó¨ Gá0¸SOzö>ØÚÞ]tÁék©øéÈó °ƒÆüT¡}zìxg8ål÷ôšºû»ßeÕü™é²9]p¢^èÒÁ ýæpÒšVí•NZ³…yëÊGêÙ~tN;*Ÿý¾]:¼ Ÿt>÷1FhŸ¼_>ÉFà]Ö±FÎóY|¾[ò®±etõ Où'Cdz8ÝP!'÷;Nâåá”ÞdöÌî´þò_â+CcÅ9ת½Ý)}„Uqå´øÅúj;XYdaeñ4]¯†¬¬QÜyÞMSñ§•ë8¹r¸K1šæ;³ae­­ö‰îcwãÝMÓî+ÞI~3@)V¦Þßhþì}^NËÿ³rR¦†<¹ÿ5fÄŒNy¾£.²ýœÌž|µ-Ÿ¦ÛjÏn%½‡¹ÏÙýô“ãÑ |]p*_U8­7±âÌ…áíË#¼»­k£cVªúäýÌ€»¯á„¾Õ®}²Ò«Q{™«`¤g}Jïn¤wÜAãTØɳz¾º[®»ÏÇ™œxƼb„è~G˜k+g3a¤ö­æ´Ž5ŸsGq̈= Ýö×;÷(ï ?vå!2ûeü­ìÜe:c_ðîÐyfŠlUµae\‡?슱ÕX´Ëÿ2{çë'ÇÜSà¤Zú8¥ß5Ÿ8qàô¸;Þa ÃH_w6í]0«œ‘•ºÍž'xû‰ _'è­¢£Yñj¤5cÞ ýÖŽõž`gÏ°Z¨Þ~¹|w¸S¬ýn0³¿¿ºç0/vÔý;6~6­U0Ê׌u±š`g.‹xóøRêÍÎjD瘹ֹ֓fæŸ0›§ì$ŠG'Êo&TÎf~ †»Ëê.½‡ºúZøÞ1.pFØÝ‹½£~Nð‰ýѾ¿â¼dÆùÀ Z+qgà>žáDžFa÷švØúî5#èÊE'­o/+ëÅpgþÕÜÞ¹Oé3<ïóʼ¿ Ftuçsm•Öi}üSí¨VçÕ¦¾ƒìtùþ ±#s-ƒó.pïÊùdôyÌ觜°®X]?.·SŸû@´N—§…Õçü'ôÉ;Ï«ë\i×w³É îØ×ö?Ìî*õ5Ãam½{¸F`GŸË»~Ú^ò®¾ø7ìˆé»ä}ºžŸ«sN…]<ÞA6«àTYœÒÿøNp÷õ¯Šÿ3k•®z_ÍãwÐýè¾»ëŒù$8é¬it\uüÉ0KF«¡ëÌzÕ3'ì WëtW^ò`6ý]ñî.=jVäÃê¹ÎÉ}† Ó÷ì¿»x>ÁOfúù ë‹àtþŒØë_æ5Bãè°á“ÎåWïµ™­|8cvÙO5~{8:yõIï3ZÃ3{z§ØÐ êYã*`g¬³i*5@CFh@ÄË]ý!Û‡8…ï "›:×N˜•‡ÞYfN_ë)ü­È[§¬õºâவèmGïâD°°³¿­Ô§ÊðT¾vAwþ>ùŒóîp‚l•þ›Š+Wé(´»ösÝëïØ_ŽÂLÿÝ}&·3_"üïp.sçØëÅ2Û¿éßY6£pzÍô–9;èŒÝ»årtäÖýrt]JýÓ½¶=ú“á„:­ Nå}õÙ扰«²Cö§èè>~`Üù,¡óø0ræþS“¿'(yr•þWœ¾³ÿì<ïz÷xÿáN=Š»ÂÈyÒ Ú'?Ëñì¢vËmÅ|Ô–Oƒ9}WL9 »ÓVîTÓÎ|æbÖüNÚÝ~©œQ®¨ï3ϯTæVÆvà Ÿ¯äº™Ï¼døèÄ9+tÄ’]=ÑÓë‘Óù;îv¦´f=_pÌ®gVÊ`Eÿ–Õ ;{ ] <“5ƒÆw…Θ±z_<ËNÞ­òÿ‘ß7ývÇÀ¹ø¤Þ“™ýÊÌþ\E×]gðݱԓi$çîºlÔÎwåEŸÊ:O÷9 'õÔf>×Ò¡—»‘tÑñdg}bÖÞzf {‚o®ØÏu@gýrÂú¬ÜWçÁÊœÕr;ÅGf»¯ï»Àìý£3RO¨û çq3ê—õÝ 4Ô=Ó( öþwŽ[ÕµwÙÆ P­³¶³{Ÿtxûû·Š‡]ŸÑ«¹Ë¼™¸FäúnöŒ`ÇþâdXÑ“ŸIëz »÷؉kU:ã~†Îó™;©ë9•¯Qعÿ[²{ˆÓ׃à®|ÂéuŠÂG&Wv¯kå¾9ê Î:—;Nï1ÞX<ØagõçwÔåß0ª¯¹õÌUÏ~:h½|‡5΂;Èî<óü©Jód]þÀy°Ú^vÙç]ý‚í{V®«;×íÖÉÊ3ðÝk}8YŽ«{8#µQ¥Æ©±fÖQ§ÙDçÞ^郩<œÙ T|¡îÛwÕx³÷*3ægc_çO±£Y{éY°ƒßö1'Äž]g…ö\gÏNÈäôõ” »ö¡+`—]ŸrX-Ój^PëtÆœ¥wÛRj ®5®Œõ¾Îu_áÎëßqÆs"ÜßS`vÜ[ý\Àé°c]§žÁtóõ®6£@µv½“ÌVôSï$¿aV/¿c\uî¬Þ"«™½ºlë”|< Nò‡î3ËÕ¸ìÞí´½åjº+õÙ9VÙÓÌzbvÏkå~l&ŒöUÜ'¬ÿ.Èæèq夼±ví3TØ]Çuž/ï~~W˜™g¾ÑÚÜæ±U|ر7úî2ÿfôAwØáªzüÝëHT7žÜãQóÖ k¸S¿gÜum*ß'õN«0ÒÇb}²]p§~\"]•1;÷È3Añ¥z›‡ºâáèøx誡²qû]lñj’,¬^ó{Yã«õ;“¨øèi¶º²¾{x§¸êÁikë<óí Ùç$N“Õ ÐÑ×z¹²ü°rϸ»·Bç»ífwÿ"/öuœ¥¬Z_÷³;ûï+Î{2¶˜©y3¥¯ž¥ÙÙ;ìî#˜cï¸çÌên†íŸ¨Kv=“´{ýwï!œßi­»á.ÏttÂéµd%¨yâÎgžèÒõ)ò8e?öL{Em7£&˜ýÜ‚kD†Ý°š‡çç½k«›.~Uõ‘Ž3„.ûÍiÑ|oÜüé=8•/Nȇ§Â¨oÜÕžŸÅð;¬a'üÈgÜUÖ'>?ðŽp—=슽Û*›;©¾ì†îµè½²wùëƒÏëÜÇœnÝüí^ïé²?¿àG.>¬ z.$‹ƒ]Ÿµ–î~퉶83w☩×çR3úÏ3`õ~ê®g„;ãÎŒ¹+q®µ¯ï媟¾B¾óÚgûÊö„u½CŸeïw“ÑL~OèydÎóï²Wúÿ„Ù{nîø°2‰zÉ+êÐz™ñŒÏ}­ƒ•²>Ý–ºÈÇW®-K»âc+ú9£uÒOœ¸/¬öQü«á„þá®x=sí£ñ{Gí]…{Û+ð ª}và>¡¶®Ké„εu­©ëì÷ïk¿ïR³]°ª7žÁ¡Ø㨿 ¿Óê¾Ù´ß)άŠ³ìötY¿«œ ï²î“zãï"Óï3óóivÑq¿zŒàÙvœÑTë¥wª³î¬4óœ·c^×üY¸ª´väyÖã©ðÔ§ w’ù¬g˜¼½è ¿:¡çvBm³šîiç•ñ³`Vem}Æ9Á vö¥Ðyðl˜)Ï™59²™È†Nê‘t€zn¹> ­ÎÞî‰uáiq7Ì°¡™1õD¿ï¤ÂùÚʱ+ðœBg½»ÀŒ”½?³¯‰jñjÞí³èZ2õýi¾s?#ðNkùîp—œ¦ÄçlÍwr½ý7Ìâ©3¼g{yj~ÌÒïÄ9ÇLz'ôÎßî*«ô¯Ö¶ï ?kÍÍGöñîr<±G5›§w×é(üÈg-Tåý_?>þýßZ9Ñ ³3wGsúèž³£—Ù‹œtf{ÍÓãÕÊóØ‘¦kþü÷ º9‡,Ì~~ä™ÌìÝtä©Ñ}Á)rž Ýç]Nv/3¦wëÍZT÷»JLÚ½VFì±j“U›ÉøO׸¬>Oª!göpFÎfÆ¢>7ëLËYl»òÊŽ}åê_·¬:tåá.èÜÓUðŽØÁìúÍÓe%ïzã3ëb6µ"Ƴ¼yzÏ&“²|̬)fBÅ~w×J-ÐAçù½{ü*­Ígå†,þJ.]ÑYUïŸ%/eqeç­œ“‰ó#¸;dá8ÕŽª÷•y9b•]ž€;³ö‡•ºªSGjÝݬÒÛ)öѳý¨»:Yö«c’ç#È·N–›£5÷(n[¥U‰È>väïQZ»öÌQîì®×+ó3x»pwBµ¾Ÿ•KVŽ…Ž}—:nVmz"® M¥ŽîÈ3‘ÝWkü F+K£{î qmfÜž‰ë”~ÛÊþïë宸ܵ֕öuý P{«ì§íwõºö«öžÌ»õ={_·*ÿά5«¸ïFaWï}e¾ËÆèøˆrÉh$s¿{Þ]áôÚnV-¸[ϳòßHìÙ-“¿¡ZkV{'¬Y[tó}9\`u:³Õ +{ý8¬]ŸÒoËŽ_]Ô|»ö,ÊÜÊžgöùKgMÕ];îàM;³ÿšYw•ª¼N¨AOµéù:¡ç4b3'ÕXÞûL>:ó®:öÔþW…æLîŽÚivõ 3ù.3~œ¦ŸSýOµ÷´3|Ü Þm=]Ð?w÷Ÿ;ñz>vj ºì^êG.BwmùŽùYÓù{†Uû‰“h(ýÍ*ÎÑ{*O»êø8™ÇúÁ;NäÉÂóõÊ~èI2éŒI³öªwñÓÑ8´ª×tyFpï£=¼Yq©Ý©¯0 •³E„ãÈÔ 'œY®€µÅèÙwun÷÷QÏ0bï3j­»ÅÒ“zÂ'œÏÏ„ÓøɬAuî©ò<•/v=«Ð½Wí'î†Sùú3a´žwW{½+ß«ÀîNØûVÏùwŸËÎ<ÓËÎéö㌠"ý­Ú·ï¶á œÒk¾“Ì2pªÝ(z÷Î;¬±¸=âÝç-]ùå]mµ:âm¥èÞ˯<#ï´ïʸʼΟ;¡›Þ¹ŸºP¬Ÿµ/ø+x}|¼ÒTÏWvõ¸¼÷*žS #ÿwÌ=-þÏ–ÇÝû5ßExVBFžz¬ŽŸ3yØu0kÌLØa;ª¬ÕžÅ ýÄYÀrÓª=3ó}ÑwÔñ̾ܪº¦›.Òùê>ÁêýúÝ᮵ ê{Ž®g—ÿBwäŽrX‘Ïн(æíŽI3û¯èÊ ãgÀê=mUFžÍvé¶Rߟ »SᔾÒtÖp,Æ¢^u•Î¬|؉¯ÚóPqÍ€ž½F{ñj#Äê7¬:K‰Q+jLd7«úºÓñWjÑn{WéV®G~ÓÁËÉ0sï›…ÝýÉôO±Ž½Ç k‰üüþNƒÕyøÀj¾™ôNƒŸ½ä+ì^wd“9mur%Ì°çÑ}l?p(½w¬«íg깕rè¢å­ï®ëØ ½åÞlØA»óLkdlG¼Pçž`³UèêëtéM·:¶uîëf-­’ÉiöŽÎ6ºi쨿ïÕºµr?¢Í­Ä4¥fTôŸ£6u×ýÀÌ>Ù*ÜcG¡ËÏ:a–”¸’Áå}f8vŸ­†z|§ÕÚ'ñ²ª¾>3FD8Ùß®Zú„|ne“áq†LOÛoâ÷#rîXÃ.}"\J~8-‡\p"O»àDUêČޭžìÎ[6ߌî«ÑÜ*¨ûNx·~^ÆÆ»xÊêíÔýý Xg»dZáõôÚï„}õtÇÅY{²Y5ç(Ž]yV|e¹{6tÕ'ú\ç>xVìß³+†žÒ{馃jg6¶ƒöJØw,tê{·\»@‰µ#òè¶gvÙ\¶¦f1à]ö·³ô1Ò™×A×ÎïîŸììÏGòA5ö¨¬Ðÿ¨L¹tÑSqíÊuUýªvõ-Gy9VõèNÄ¿síÌÎTÿËŒ[Õ'ìÜŸ¼“¯18%'í¬f@‡ î–É){Ì>võK;atÏU‰ý*Ì°•ªÍ\§Š7ÚSܱn逬]®èËœT‹vøàî^æŠýàw…Ñ>Píú]ÙÝsfíW”}‘Š·«×5«ÎØçf厓âÞIùq6¬Œ3ï'÷/g×üwõ‘ÑÞÏ©1𔚇ͯîçwÆ©¬LfòÚsºúKÖ/F꧑yUºLß3|ý¤Ø¹ªßºb‘…™kéW®ˆ*ïh¼wõbF{·^lY»ltg߃ÑX™;bqG®SÇTaw,|†Y¬Ê'³ ’§ØœÑù™y#ãWÅœ•:ž½GïèY*ófÅÜ]{ÐŽ|^‘ ª[VÀIùcvh­èÎc'¯U;:¡?¢Ògñg7UØi·»zv°«nÝ)£j9s¯ÙÐH­5CÎ+sè 8ÑOÞOÎÚwá:Uv£µ?Š ³íuFm¤Ê¢jk;âÞ q#‚JYÑîô‹Î±ݲšÍïåkkO™Zt¥¿U|o§ìFû,£ùd—?¾›[èŽá;z¬£`cVv'Æ´gXQKœÈƒº¿DúbÞê}’'¿H¦»õÝ«ãõéôNÐé)½†ÓÕKjYÙoˆ ³÷ZÙB´»rxªû…‡J¬ïŒ1+öIUÜ;ëØ >¶GÞÙTxõUÅ–Fú€Y:ªN;c]Ö¿3ôwì«ÎÝvÚ»z.ãŸçU}ñ ì©34WìO´ËÎýÝé{ÅΕÅ5j_ÙZ/ƒsFmºÇlèª)V÷~ 'ɺê«Ñ~`Å~k¬Ø×­À»2_xõQͺ—í—¬¬‘OìIxóGö°w‡Ègþr^ ¾‘û'ÁxUAÙVñ Ý|ÞeÝ'ÀH}®òÑ…Ïâ™UO)uA…Vg­Ôµö~Õ±ï¬ôWÕd«zõÞµ¶®Œé†‘ýëçuíQ˜¬²²gôÞ;åÁljõÚN•å»ô fáùŽ°:¯¢©B×~¸J{­¬Ì£^iœÐïï®»GqU!Sÿ­ð=¥VªâYY[W¡³Æx—¾® 'ç†]Ð)ƒlßw6tÄànúã¯9³òDoÅÏNÈÙgdË#ýIunv¾{¯µ£ç5Ò7íâ¡]ÅÇ(ÍŽpJ]ÜIÇêøNõß(½þvr­àÍßÑ_©^¯Ò:­Æ…î1“Sï.¿ñëäg!k[»ä‡¼5 *±ï$þ=ØÙ7ìž3v×ö³èuîW‚ÒóVköÊ^Å€ Vc)ô™}fxæDcØwØRµCòWúP¶>VåÂúDYBt,¯˜w؈"Ó{ý]^cÔq ¨úå; »ëÝÐåsݹů.ü«À‹Ç8O]o²5Êl¿î´³]ûSfñPõëQ<'AG­Ñ wèTý#Ú£tñaó‹RÿÿÙ÷×\I–5MÌ;»ER ú©QmŸÝ⤔š²V•P*Jà|85ÎCÝTï´G«ãâ×X+Ï);s­7÷×-b?ïÞíüÎ×ÅÞqæµ~÷9¼õçWÏsõ6òëè½÷»÷ûîqåëûÔ±:ò¾\ùóìœßyN}W¶ì9g·ùêqWdÔ‘cøè3ï'¯—ßi»gÇ]÷¡+Þ÷£Ûºê;’GçÝß+\ý}ïwŽ;ÏwïÉwÎûŽí]5}vÕzàèç­;ýO~>ñ½ÖÑ÷aïóÎÜά{î¯Ö(W§ïüœ}÷>|÷{·wüñ—ççð–{Ï‘ÏÿWfÔwSg¾§{¶½O¾†ßñsÈO¸¶®¸·_uÎ_=~½øªkçêûêO9gÏžß} }÷üw¿æÏRWíËÞ5ÀO:ÿq|]G>[Cm]œ]7üNãì{ý;®[îÚÞ–õÅÕß/þµŒwë÷³k…+>—\ù^ìÍ¢£Û?»­wûù·r~Þ9>ý™ùÝ÷{ÿ;ŒOìÿÑï­¯únóêÏsw|gþS>³]9¾û;ÔGã;÷åŽóæìüWÌs÷1½ò;Ø3Û¹zsÕ5ÿèølyÌ‘¹¶þîŽñlÍû9ó“²í;Æ×æ•ã»¯ó£cë÷N{¿ŸúÔØ“WfáÙÇ=zì–|Ùú\™U¯òð'G³úÕ=lËóÞ=ÿëã~Ê÷WÌóS>×Ý5ïO9¿ÏŒwëñ¿†×x׸{]z仄;¾Ýûø¿¦sæëýíìç–;×[sdísÅziÏñ¸"_ìß×Ö‘ûåO¿–~ê~m[×fg¶}Çó~·c~×:âSßK~×6÷fñÙ¹¯˜ïÙs^åØwŸÏweìÇóãîýú]Ë×q×÷'¯~ŸâZ¼êžùÞëWÇálÆ~÷w‰Ï¾—{÷œ+Ïßðïw¬ïØÖ]cË{¿÷³â§¾«¸bœY¯î=w>u/üiÇøÌøôkù ÇîŠïX¶üþo-ë~Çqõç•gëŸßíýûÉûûçïðÕ]ŸGîx ?íý}6~ʹøéïõïÚöO8–ÏƧ>¯}×ñ:r/<³ö¹ë;Â+þ¿Ú‘y>÷Ñþ}ýÙŸ}¶¾'g?³:¯üü'æÏ‘×÷©×ÿ]ßE|çýîÝk¾ó;¯­ã'žÇGÇ•ïõïz\ödÀOY“nŸxWmëwúîõ§ïXOÿë{ôÿ?î:ïòê®÷äß•l¹¿_ñYêw>WÚúûŸG~¿æÏï¾G½šëÈüG>‡ìùÎÀ}úÝÖ5_Çï¸ï¿ã>¿w}îûú¸£ß‹]õÝß–ëî;ßÛOžù)çñÑuÏUkå³ß)ž½ÇíÙÆ_Û8soýäg˜Ÿòþü.×ü'î)ß9ö¬žã?umwæsçÖògŸ{Õç×£ãÙ\Wý½÷¹+æøãËŸ-Ï»ó<:3¾{þGã§}¿pżŸX3}âsÉ™±åz9ûÝÜ–ßmŸxþO¼ö®?ý5~2kŽÞ³¿s­û·òyäÕ¸û³üÑm|úØ}çæê{äO]mŸ¸N?u|î¸^­»ïøÿÏžsç½áÈøäç½gs?û÷Ûük{Þ»míý\ùéû×'¶yåøäºgëgœgöìñß1îÞŸ»¾3z÷¼£™õS¿ç|7>ùýÀÞ,ÚsL±ÿ ûpǸòûŒ#ë‘¿ÖãúÇ÷šïßù¹ôY^ì9çÎ|Gùêùw­Ã¿û»Î+·s÷÷äG×ÅW;¿ÃÞó™ý®ï?™e_¯§Ÿò}ØO¯Î‡Ÿ–Aß=ÎìÿïþÚÿãØû™ôì6ï~þkÑ=sܹÆÝû=ÐÙùÎ>ïÙ6¾ûž¼g\y/ýIߵݹ/ŸøŽæ̶î_ïµw¬UÝÏß}ºjÞOŽ­Ÿ»¶æòÕëkÿûì}?²ýO»î[žwäþµuÛgÇw}¯û×øýÍw¯™|ΕpôqW½Çõ»³æ'Œ;ßÿ;¶w÷÷kWÎùÎÿï:ß=¯®ø »ç<=òþîÉŽ­¯ëÕúóݺþçÜ'Ïë»×áG¶ùõÚØó¾~×ØúçÑcÌñÝ÷ÈO®;ÏÎõ‰Ï7w~Øó™ñ“ïÉwŒï>ïÏŽ-ïÑ»ïd¶|÷ôlWfÈÖûìÝß'}ÝŸï^7ßµÍOlûomlý®çŠmï™ãȺ÷êqÇÚðîûøOŸÿŽy¼OWgèž9Î>öëã¿ë;Ð3ãêÏW-ûuö{Í­sîÝöw=Ï<ßñþÞý¹ù;¿wþîëåѸû¾ü“Ç‘õԞϷÿ:Ö¸síºw¼;çïü~äÌŸÞæOxMWŒŸô]ä»qæû–ŸþÚžŸWnë¯çSkòg÷²Oý¿˜wãª9¯Zwþî×¢ãŠüÿÎká“ãÊï ¶|g~åxvôÚ·~ÛóïWÛ|5çÞíÝî׿oÙoW|fý)yûjly_=ïÕ±?ûùá;rèÓïÏÑùÞ­ïü~õë{ûÓÎé­ãîï­>1~úúí§]óg®÷;?«_±w»½ÇmO&½º÷ïcË8³í»rïìë½rýyôý82®XgÝ=ÇÞñöéÎûÿÕó¼ÛöÕŸóŽOæëwmçª÷üÎÏ^¿ÃºìÏñì>¸÷þ»}–Üûø+Η=ß}Ü9ö®å¶îëÙuß–ÏìG¶ûîñw~8º69“1ß±þþäø©×ÊÛýÔÚáèø çÔUŸ—®˜çww¼–#ÇòÎÏn?qÜý½çãÝ|?áýû ûðç¸ã{—;?¯œÙÎk›Ooï¿lË¡ï>ÇöfåÕçáÑ|?òøWÏÿôgÍ+¿kÝûÙú;?'n÷»¯‹OŒ;snëwW~ñSß³O.ú ÷¯»Æw¯ñïšçw8þGÏ«½÷»£ç÷Oú^á'íË™qtÿŽ¼þgß%_qxõ=õï<¶^+g¾O:2ö®ñ®ü¾úÝùò>wîçlž|Çg‰­ûãËŸßu|rݵõXý´ï%îWæÈUÏÿk¼ïlw]ÏKÇñÑ}àèçˆï¸7|ÇøÄç¬ïÌÕ;¾?|vž]õ]ýžÏw _Ëï²Öx´ŸWŸÃW~ÆÛóYíwy¶Œ-ïѻ϶Ÿ¿Ë±ÿΓ­ëÀ#÷àïZ?^‘ ŸúÎ󊌼b¾Þc>1çÙñîsù»Ç}j|ê;Œï~_Çwåß]s¾Ë³ïþîü§½ÿŽŸôÿ.®Þöï~Žo¹NÚëÿsÞW÷Ï«¾7¸êñW|Ýú»gëø½vöóýÞmœÙ=çèÞõÎÞ}9úÜßñ{Ç;÷ùoýžvåxw}|ú;­+sáw{/ßýýâžyêgÃ;ØÞ«y>y_úkÏÖ…ÿz̶¿ÅÏ­[Æ‘Ï ß5î¼×|×w—{çz÷þ\ù=ΕÇûŠûÁÖÏŠw³¯á»¾ã9òø;rà'|OsÅw{û“þÿÑw~§}×q¿blÍŸø=âãÊkë§}ôÇ_¾ï¼?3~úþ^ýçUã»Û™Œøî}5®Z?»¯þB ã»_ç'>S÷k|6î|í[þ_×Öm]ñ˜+žsvœsïwïßñÙzëcýûìç;>×ÿ-ÜïÿšÇ'>sÇùs×ÿwÛº¾û Ÿ‘öæÂÝ×Ù'¿?yöš¾ëÿ¼:Æ[ÖBG®¡O®±¶Îõ‰ÏégÕžßgîÉÿz_¼~Üu¿øÉÿ_á_Ç÷ŒŸô}Èž<¹ûóÆžç÷uñßcÜ•ß}LÿuüçcÏ÷>þ;¿Ç¹ã{§;¾Ã¸{\1÷§?Ç^5ç•ßíÝÎÑï÷Î|/¸e»Ÿ\Û}âsÍÞϯ_ç¾+y·oW­ÕÿVÇ]×ͧÇݹwô^¾õߟ[îÕ¯²áÙﶋŸrž;×ãßõ=æãÈçÊ£çÊï4þxðçÑcöloïsþÇßOlɦ#kÑ+¾÷Ýòþ?Ûßï>gŽîû£ßý„¬ûôçº+?÷ýôûï?áœÝ2>µ?åxܽWÝ#Ï>æÎqÕwö¿ÓZò“¯ãÌ\ŸºÏ\}N_ñ¼;ß#ï›{Ïý£÷«ï¾Î¯¾ïúÔ¹q÷v®G¯áßa]ôSÆOø.üŽ8’™?é3׫ï=ö§wŸ¯>qß¼k\q?þšmß±ÿäó¯ØîO;~¸ò{Œ¿•ãû·²>Øsnü®ÇàìwÀwÌ{äù?á»Ð;ž÷»Wg?«¾Úîw‹OÏÿ“¾·Ø;öþÿ£½çË£óìÑ÷[·ùÝÇç®ç\5]WäÞOýýŠÿuÅ~ìÏÞ£#ùùÝy{çøäkÛz¾¹¾Ž|>ò™çUÎ^5Þ½þwßé¼úùw}Nþ×Ïçÿ¿ñ,óÒuø“Ö¯ÆÞµÔ–ç™së㯾žîÎÿù¸:Ç®¸‡üµ¾oW½®­÷ÊŸ’{[ΉO|O{t½vv\ý}Ð'>_|÷v?ý½Ð÷ÖOŽ«îý?ýuþ­Œ½ôý?ºž»;/®þÿwwßMÝÞ»ÇܹÖÿépöÞpÅ÷ϲó§}'ñÓîë?už;Ƨ×0GÆ]yµ'kÞ݃®ºÖïÈͽYòÓχ-ãì{~ç>üôíâ;ºï?qê>íÉ»³çÎÿçè÷Ç¿ÓwgÆÖ÷òì÷êßµ¶?óð{ä<;zÝ]ù½æO<‡ÚØ{¼¯Zã~ç{sçÜßy?¸z®#ïÿ»ÏŸø\}6ÿ¯š{Ïï¶üþ®m?õ{‹ïد½çÜwž£WŽO¬;¶ÌÿÓáÑýüî×õî3ÏÝëÐ#ß¿ÚÖÙó¸;ÇÝŸwïØÎßÂw6WŒïø^pÏœ{sá»ÇÞãùõ5mÍŽ-ßÁŸgÖˆ¿Ãšðª¬ÿs[{~÷ÓÎÙ#ã;×CgÏ·+ïõÿ:~ÎqüÔ5ýèqß1÷ÞÇ^5Þ}÷rv»ŸZƒïÙƳÿîãÿsÇÚñÑö~Ö}÷ÿ8îz¯:Ï¿cÝõlü”{À§Ç‘sdÏûö]ß+_qmßõþÊïWÎìÇ–çy~Ü™%[~öéï¿ûsú‘uÊ»Çü”µÉÕsþÔü~u~÷>Ÿù^tϹøî¹[î?åý– ï¾ç;:Ç]ÏÝû}Ý™íÍ®«¾'Ù;ïÑÇlyþïí³ûÄÝs½zî'Îá;Æ–}t|÷^#Wæ¬Ý“鯶sÕØ›G?q|çzgë5Õ|WŒ»¾ø®séÈ5õõµï½®¿ã»‘»Î»æØ3~r¾8öžk{îAG×GŽÝO:Þ_¿ÇøÔœwþþê±õÛó»3ãŠuÌžm_=Ç'Ç×}þ?þå/ÿëÿòâ÷¯~ö,¯·~qö3ܳûæUïÙ³,8z¾Ýq¾lyŽæÇÞuã‘û÷»¬½{}¶õ\}ôó³Ÿ{_ýnËšèÊï+öÎseæžÙþÙï/Þ]ãw~&Ùš«žsç½çêuøž}öø³çÛOùlá¸jmý.óÏäÔ«yž«WäÒ–ŒÝsN½Û‡-×â»}ùÄøzì·Ì½õžq÷ëø ×Ü™q&o®{×Ïž{ä÷GÆ‘m~]]•c{æ÷û;®™­ÛüägŽ=÷âWYz÷úå®÷äèøÄ~<ºO¹V¶¼o{¶·õ±[ï³{ç¼òóÈ™qÅç§;^óÞüØríž½½Ëˆ£çõÖuÒyyôúd–ý”Ü<;~Ú}àÕxµ–¿òZÛ»³™ÿ»û¯ÿ½ê¾±w­³õþl¾#cïëýägƒ«³þÌûᶷnsËû¹õ¼{öYèì½eïã¶<÷è5ô*_­÷\'{î [³qï1Þrm}GöãÝØzž>{ŸöÜS®z?^mÿª±÷þ|ÅüGæÛºŸ[3ëÑŸGÏ9ó^‘?{·±õ˜|rœÉ•OloËc¿fÅ×À»Ú²­»ÞëW×ÇÙkäÙ}ÿÌšæÈó¾þü»¯›WãŠ};ºžy÷û-ë«Æ'Þ£O]S[¿õÞü;œÃw½¹xU¶Ïãölãì½ïìóîšϽò§]Ïγ­ùzfWŒ¯s?ú÷×Ç?ûÝû²ççg·{ÕöŸmcϱ:úگι­çâ™÷jk>_õÚÞ­ÉÍ÷êšx5Ï–Ÿ}Çx·žØºïŸ^¯^±þy¶Ž=ò¼­ó}}þþlÝÎÕãYÆ9Ög2îÙ5¶'ŽŒŸt^9ï–óëŽÏŠWqÌ>ïÙ1ÚºïW_×WæôUs]ñ>¾zþ‘ûÙ£mìÙλëp˾޳W¿?G³ôÙk>sÜ2^eÊžçnÉÏ-ÇðŠüµ?¯Ö³W®±¶¼ŸÏÖQïömË㎜ÓWdÄ–qÕ}ëÝg{Õ¾m=÷æë™ù¯~þ'ÖÃg²íŠÏ®—Wï×™uÉ»ksëöžýìèèŠñêÝEW®9öîã9ö_ñ^yþÕëï«ž{džwë‚3Û}õ³£ãì~mÝΫl»j­tÅ9üî:ýãÁŸ¯Ï½b|t<Ú·Ÿ4®¾Ï¼{Îë´wûÎã¼õ~¶å>xæuí] m™ûÙ½lËù}U®½úÝÑóeÏsÿ|ì–ý:sÝŸy-Gûì¼ã5lY—½Ú¯-Ï=rϺb<»Ž^Ý£ÎÌõì^÷jòì¾ùìwïûh_ÎŽ+ÖnGÏå3yyå9uôœßz}m½F·æÝ–ÇoÙÆ»÷êÑyønî+ïïžÿÉ5È«ëüìöî|Þ«\y¶í«¯³»®Û+Ç'ïQgæ}v_8³Í#ã;ÞÇOÍyä|}—£¿óøTV={þ³süŽ?æÛ{]ý~_µ–úÔvïÜÎï2î|½Ï>#lyÞÖíýÙÙß½W¬•¿k-²7Sö¿½Ÿ¹¾cý~õZò;Æ£ëîÝ积Ÿ·¶ÌñjÞ+®õ½ù±å5lÝÆ«ýyõ9åÕþ>Û¿g¯óÙ=ÿ]fÏögÏ{zõÚòª×öh›_öÉuÆ«íž9?÷<æȸbß®˜ûêóbÏvÎ\ ïîï{÷cof?ÛΣmì½ÇžÙ‡+·wå~<ÚÖÙ,¼cY'½º‡÷ÝïþšÆ]ÇïêmýäûÊÙq÷}gO¼Ëägë¹-ë¬w™üîz¶Ïój_žOÜ“¯Êøw÷Þ£Ù×s^{æÙ»ý+ÆkùGÛßó»#ïÉ•ã»3ùîwíý÷‘ñ©÷sï1Ù³Í#ÏݺÝ+{æ9GžÿêÜ>sÿ<ú¸W×Æ»õÝ–9¾>÷Õ¶¶¬ =æÈ:àìñßú˜g™½ulyöìÏ‘ç]5Ž‡Wçáë+Ÿ¿esÇšþÝÏï^“¾šûÕïåÙ9¿cÍýõqgî§G³q붾ëÚ?:ßçÇ»}¸êsÅÖýÜr_¸z-°';_=gëã·Þ·ŽŽ³÷’³9²#ïÁ»mïY‡üå/ÿùû³g[[ï7W\cgÖ›GöcÏZíÝzñÑzwïñÿD6﹧íyüÖm>{ýg¯gïÏ]k ­çÙ«÷÷Ýkßò³¯¿ß{þ¿ÚÆÙsåÊ{Á£kjÏu{Åøš^×»×zÅõ¾%{¶>ÿŽµÕ×}yw>íÍý«Ž›?{÷»Oçôó\q޺ݽϽrýpfÍònÞ-×—{v]5ßÖ¬Þs,msëë>;>MÏæ<{Úzz6׫çy/ßýüÙ½lËù»w칶œûGæ?ú¼«ŽÃ§ï'w­‡÷ž‹ï®»­ÛÜúÜ=×Ï–c³w®=ãÊ{àUÏ?û¸w¿úîÙÎ÷ÕO=ûº÷˜~ú5^±^|÷˜-¯ùÑq{u/Þ:ÿ«9ï|ÜÞ÷ùÕù²e øèxíY³<ºŸ~}/¶ÜŽüül>|ÝÎÞ}xµ?W¬kžß[öãÎ >sßØs~_™ß¯^Ç]ëÕwÛ9òº~ʽÌqÕ1yöû+®ó3Ï9²OŸxoßí×Ößï9Gßë+æø‰çþ–q×ZàÑãöÜïžÍ¹u=ðl?îú<ðj{GæÜs­lÙ-yÕ:tËþ\õܽ×ü»óåεɕãÙuðu}ûõ±_ßëGïý]ãÈZõëóŽdü™5þžÇ9Ž{¿'û®ºŽ­ñ÷îï×çÞµf~4ç–çlÙþÕ÷ï^_¿z=[¯¿½×é»óõÝ9{4Þ=þh.Ý1®\Ÿl9žWäÞ³ÇÞ±æº:ÏÞ=öÝ9þ.o>qμWß žýû§W÷€O­yŽŽ-Yùîõ=ûÝ‘}y÷»=Ùýì¹~f½öê9[ß–{Ú£ß]}­½zÜ‘óäÊñ5¯žsËÚàÕs·üîÑúvËšwËë½ó=xu¿=sßÿú˜«²cË1½jœ]÷ìÝîÞ¹¶ž_{¶ùéñ‰ã¸%·¯žsÏs÷ìÓ•÷³«ÇÖ{Ýןý|°w¼»gãÑùõjíÇ:êÕs>qn|rð©ùý÷êm¿:OönÏmžyþ×ÿnÝßïÊ #¯÷Ñù´å{v^¼:†Ïž¿÷œ>›•g¯Ÿï¾Ç<ÊÖ-ÇìÑ߷̳e›WýîÕãÞW÷Îä¸ù,°u9×·<çŠ5à–ûÞctäñ_Ÿ÷î1{Ή­×Í»çoýýÖã¹÷¼¾ãzÜ󳟼fûs®ïïÖ?Ÿ¾oý”õòžãrv®­ß›û{æ{´ÖÜúܽcKî]9ï£÷îÌ6ŽîÿÖ{מí=Úö»¹Œ­ûýî5îY+|r¼ú<ðèõ¼:öïŽÍ×ÖÖmž½7½V¯Ê­ïWeÕþ¼zìÙqåíêqåüwnkKöîÙÖ³_ù~ŸYCœÍð»îóï¶q×ù|d=puþ^¹&|ô¼w÷ð³kº»ÇÑÌÜzoß²«ÿèw[¶çy[¯ÿgt¯Ú³þÝ3Ž®¹Î®u¶n÷Ñ><û÷žkíÕqÜ»öÚò˜gë‘W9;çÞÇÝ5®8gfÐÙyÏÌÿn?Îîבçê9G·uu¾mkï¼{sóêµÎž±g;w®½ž=þÊ{ü»ç]} >ÛÖ™÷ÿÊkôʵíwÞGŽìç'®Ÿ»É£ŒºsžïÞÆO˜÷ªõÊŸÿý®õÇ‘ÏB?)/®8þÏ~wôõï™çα÷}8ó¾½û,µg\yŽùlúè9ÖnW~Û2ÿÖǾúù»Ï¼WŽ«Ö/wŽ-Ÿ½nïëv·<öȶÏ<ÿìØz¼Žæ̧ÖP_ç¼úÚþäk¿kÍsæ¹ï>_mÉ¢G×ê«y·|v¿ó~r&KÎ|f»c½¾'{ž]Sïžs÷½ÿèغ_gîÓŸÊ»Ws¼ÊÂgk GÛØ{ŸzµÍGçÏžkã»Ö ?ióê\{”“ÏŽù«5ð³uÔ–m¼ÚÏwëÖgckî<›ïÑ\ïÎá«Ækº+Ö¸G¶ýÓÖ2ïîoGæ½ó9[¯ƒWkžW×趼®½¿;2ö̵çónÛïæùTvœ™gOæ^±½»îŸ[çÝrÿxt/|—Gï'G3õê÷íÙs¶žÇgïGß¿+öáªqö:Üš³{×L¯wôÙz¿ýúœ-ûñnï·gÜuÍÁ-¯uËñ‘-[Ù³:öœ;ŸÜ½×Ù»mß9ÎÞs_ýýÌv¯ºgíÙþÕãÙ9q4oö\öñÉñjÝñî=Ø›GŽç×ç½Ê¹3ÇtïuÿêºÚ³øÔûýjÜ;®Xkì]OlýýÞ÷cëx4Ï‘õÅÙylïq~–[_¿eÝúîß[߯+¯•#kÙg?¿búèg[ïIwfÈ™×rå½àÈø®õæ«ëbïzìŠséʱ7‹ýlËyqõëxµž9zß?3Þ­ÿÆ‘×wt=°gMuU.Ý‘ûþüÝ=aï6÷>æÈc}ü‘óû®káÊ5’ÛzÞ3®x>Ï礫×ÔWfò'3uË}ûÌg¥³Û¸jž;îÇþ»gî­y¸çsËÑõÇ«çÍ•G¿ßóþìy[®¡W÷¥-cËþœY+îùLwö}>òÜ3ãèu¹÷=;“í[Žë‘m_}½smrõ}ñ»ç¹sîgÛz•gréÕ}àÙ=a˶®©îÎ+¶ÿîZ9{žny®[³ðÙëÞz?ÚsßúÔ¸ê|¸{ŽïÜþUãè}æÏçýýÞß]±6½âóÍÛÜ»žÝ:בÏ(ï>wœÙ×3k´#sÝæÝãÌ5öh;þûÙßïX‹nùý‘µê•kð;·ónû{ŽÃ»{öçýÑÏ\Gçyöß=ÛøóïGÖ:g>'½[?ïÉÖWëõ-so}_®<¯ê¶móÑy°5ó^CG®¹+ߧ;׬ŸxOžýýH®}òüߛů¶³çq{_ãÖ}ÚòZ¶dÝ«m¾›ûÝõúèy{ó{Ëëzö˜gý,[Þíǫ翯îsïæþº£÷ó=¹÷nßöÎÿjŸ¯Xmyþ»{ÿ»¹ÏdØ'Æ»ëdëùó÷Ÿ3ïÁ–÷õÙ¶®>Ïß½ù±e}³õ¾¶çu¾Ë¥=k‚gû¹õõoÉÈ«3äÕ8»fyõÞ_uý½WlÉÎgÛ¾bߟmçÝ:fïyúnۯƙ÷íŠ÷â®q×}×ß¿º/]9×'Æ»óöÈúðŠëéìس&ݳ-ùý(»žeÏÖýx—·ïòrÏýrË>^qm½]‘Ñ[î ÿÉ{òÑ9ŽæñÖ÷xïºjëüïæ;z~î¹·]¿l]£ìym¯þ}Ežýù÷£k–-Ûõܳ¯eo<Ëw¹únþGÛ}7Ï_þ²}®wçÓ]Y´åºÛ³Wk¦#ÇË|~wfój¾³ãÌšëèwŒwsl]ƒ¼{ÿ¶^óGÇ»{ËÑ\Ûs^m™gÏœgÇÞüúÔùö‰yþœëŠÇÜ5÷ï2ß³ëûŠ5ï‘õËž÷uk~íÙîž{ëUk¿»·±åu<{Ý{òïÎãutü”Lz¶gïw|.9òügëÈwÏÙóþì=F[Ö¶?åÞùu®WŸc=þëߟ=æÕãÞ=~ïvÎŽ;΋3ut~Ú:íÝ8›!GÖ[s`Ï>ý„cùÇw®C?yÿsλ¶wvÍuôx<ËåGw®+Æ™´eŽwy¹%ÿϼ׫ûóûì³õÂûóîqgï3{¶qdì9¾G·¹u®+?Gmù¬st›~÷ì÷[Ÿÿ‰\?s¹â¼ðñ¯2xï><Ûöžý9úüWÛÛó»WÏùtfí}þUçð»ûòÖm¼:^Ý#žíÏÖyüîÙc÷®±¿ÞãžÝûž“gÇéÝóÎŒO­g·Î³w t÷ZîʵížkôèõüÉuÊUÛÜ{nͦ­yòê~øn¾­¹¼w{GΕ«w÷6ŽlÿŽûçÖ|?{_Ú3^íÿ™ûðÖß½»>®¸Go¹÷½zì×ß]y\¶üþÕc¯¸dÊ‘9ïÊóOwÇï:î®±åþrf»{wÅÜwŸ¸[òãÑ߯œÿÑ¿¯\+î} {×í[ÇÖûמ¯½ËÇWçÅÖµê»ýðßW]{^Ï«|þ©÷Øgÿýúž>úóêwïþÜñ:Ž>æè½ýè|Gæw¾[÷ž=F_ÿìº}7ïÇøÈlO¦ø³+²cË{wg^Ý™=GsúÙ﮼ÇÝ}=¿Êû+çÙóÜ«æÞs?ßóûŸr¼#óÍñ©×{÷yï<“[[ÖÚGŽû§_ÿ–ßÝq®îïöuËïeê«?ÏöakÎï½?;ÎïöoË{sd pdl¹g_µ-÷œ³÷Wë-×ò³÷jÏzåìZÂíl™óÕv^=îÙë}µO{¶ýèï»uÛ{sú]~¼{þ‘9žýîÙ|[ÏË«ÇÑ Ùr?{ÏßýìîûÔ–<ßûÜ£;úxŸwå>íÉŸ«Þ§O¼ö=ÛÜû¸W늣çÒ»uÖ}{ö¼=û´çzxu][ŽÏ£Ÿ={?žíßÑ{õ–ý|õøwkŸW÷Š½cë{&KŽÞÏ>çªsì®{ð³5ЫùöÌs×=éÓÛ»sþ=k‘¯?–)Ïþ<ÛΫ}z4ç³m¼:wÞ­»¶žã^Ó–ç¿zî×ýyµ­½bìÙ§»Ç³óçÑ¿ÏÞ¯®Êºwçâ™ñnMqö\Ùr<_Ýë®xÏÆ«};òÞí½¿osË{ôn½°÷¼>»žx÷ܽ¯uKvï=OödÁ™qUÞî9gÞmçÑ¿ß½ç[îM[÷ië=nïvýûêüØz¼^=wïó_]/®G넭뙫²~oîùÝ]k˜=Û»b­pfþGϽjŸŽngËu½w›{ÆÛÿÄ:äè<{ï³þþë1»ëu¾Û»žóìž°g½â﮺Ž>çªëúSÏݳ6}ö»­ÇäÊsøèùqÕü_·ý(ß·®‘®X{>úïѹæÕcïûúè±ïrsËûè¸êsÄ«ÏWžËÏÎÝwó>úý–¹žýýªÏw|Æ8sŸ¸b}çóŸeÖUïÇÖy÷<ïlFlçÈÏ÷·-÷Ó½ŸÕî¼×=šïÎçÜ}/ºòø|ÇÚ|ë¼gòá'}^{ö9õS¹pÅØz?²Ö¾sl]__½í=ÏÝ»æ~·V|5ß«µÚ³Ç¾Û泟mÉÁ»îÝ?ñú:¶¾g?a®|Ÿ®X÷ÙÎã;?^9¾ûóä–¼Ù›}{æØó˜3?²Í«®›g¿?s¯¼*μæ3Ÿé¿Þïü,yäÞ¿õ±>îÝ{ùÓséîc¿u=ûÓÇ•kì3çÍw­U­‹ß=îêùŸýîÌv·þþk¢«óüÊ5Æžãÿ®ï£Ÿ™þüÝ™5Àžóì'ß#Î\sw½®+Öf?éxoùnàÙã¿ëøÞõyúÙk{¶V/ÚèÑãŸÝ|ƹzüÄíŸÉÛŸ¶.8{¹sœÍŒ«_ÓÙ÷}˱>úùmËs÷<ïŠõÆ–üßzM=Þ}†82Ž¼G[×w¯·åÞþÉ{îž{‘÷yë±úÄx¶F<³­gÿ>ºOïÇO¹gìù ¿eMónž¯s¾Ëä»>ëü”ã¿wÜñYÄ9¯÷dúžüy•…GÖ,WdßO_Sú³Æ]×ðÖµÚ‘×{÷1Ú²^ûÄ\Gsdõè1Gîæ>sŸ9º=ãh¦=:>GÎÛ-s]õ»-¿ßû¸»ÇUkç3s½î?±n?sïùŽý:³ðïg_÷‘ûÏ–¿_±ØûÜ+Ö{{{ôþ°w{^ÛÑómËZèÝ϶noË<ß•^Ó–óàÕzÏ>Y×lݯwûøì¿[çÚ3ϳ9®¸—mÙ—g?Û³~üãËŸG?7¾>vïqz÷^½Û—+òçk¥+Î…£Û¼âõ]ñì™kï6îÎÝ­ûô©óìÈZkë¶^]«Ï2cËv¿s|×ýøÙã·œ¯[Ïé-kÚ=cë6¶Ü‡¶Î³ey=Wæ½Ë‹­Ûºjl}÷¬ù¶Ì·õþ¾e[gç¿âÚØúÜWsýÎë+¯ÙgkÅwÏÛú˜­k–Wû±u_ž=nïuþ‰kïÕç€w۽㺹úz¸r]|UNoÉÁ?ÿ{æzd=ñêÜznlÙ¿-Ûz÷ú¯¾o>»>=>9ïÕ™»w ´uŽ¯û¹åÜù‰ãëþï½Æ?9~Úþü9¶æçÖí\ýØ«Æ™uòžímýýÕcïõ»÷}=ûz¶ä᫵âÞí¿Ëνs}×ý늱÷\ÝsL®Ü3Û>;Þ]#Ï>¿<»×½n>µf¿ãºþÄ󮟺–÷|†¸ržïÚþU»òœú)ÇæÑc?õ¹ý̸+Ç^Ý£=ÿÌÚàÝþü¤õè'Ç«Ï~ßq-™ë»î_ß=^]{¯‘Ÿ°ÖºóygÆ–uáÖç™óoa|Çy¸÷ýÛû½ÞÖçü´÷|o¶œÉë;^û§î{Æž5ÈkäwçÝÑlû)ãSßÁ}çùùn[³åÝùõéïþüû»µÊÑï¦^íÃÑÇ={î뙯Ÿw·3ÏÙ;¾+3|mgË‘ïðÍeþ]7\õ¹ýÙ½âÊù·^G·wöÞvdî=9ûìü¹â³Ä«m½Ë—WßÅì™{Ïs¶<öÕsŸ=ÿèûþ5÷îËѹ÷Îqåã¿>÷è=gÏöÿò—ÇÇúýy4×Ý㪵ØÞëôÕÏ¿ë>þçü_ÿýîzÚz ï~mWdõ–í=»F®˜së¶ÞÝS®Ü=9²g?>™ÉW¯ ·Œg÷ö;æÙú¸ïÌÇ«óöÈ:äÊ{Æ'ÎÛwçêÙµÒѱå:»£sîyÜ‘uâw¬Ñî{ï×[·õºuܹo[³jËvöÏ­÷3k£çÅwŽ½õî5nùýÖc{×ñ¼j}ù‰ûã£Ç=;÷lwËã·¬­Ïfâ÷Ê£Çáȱ:rÚòypo®Ý5^­ß½ö­Çç®Ï|[Ÿûêœ=²Ú2ߧ?3ÝwÇãÑ϶žß[æxõ³gcï¹ôÇ‹?_ÿèñ϶³e}Þ³×ðn»WÞ^‡[î G¶µõ8^•ï[òìÌö·Ž£ûújïÞ¿wïÅ£œß³¯ßuïûÄ6^]ÿ¯~öl[®¡OÏ­sYkìÙþßÚØzÿßsÞòû­óo¹onY#lùÝ–±eÍ÷n_ÜöþüÝc®Z§>úï«yŸýîèóÈ=àèÚoÏc÷¾¾gÛºê±{2òŠsãÑv®X—n¹î¶ìËwŽ-çîÑ}}—‘ŸŸ¼ß}½zþÙõÓ§>3¼ÛæÞëqË6÷Ž3ûpçØ{Ï~ôüwÛ|÷ø³ó]±Ý¯ÛÙz¿;{Ï÷œ-÷š½ÇäÝÚ÷Ó×í³íŸÉü½ïÝOøŒµõØo]ŸÝ—£»ëžõê3É£m¼Z_Ÿ¹æ¶Œ+{ô3ÒÑÇ™ïŠÙ»ž|tŒžeÊ_þl{ïúèÕö?¹ºz{{ï•Ï~÷î=Û3îþòêwÏ^Ç£sîÕó¯xíW\Ï[Ÿ÷záêíß±¿[÷O[û¿ú÷ÑíÝæ'ÍO|?ŽŒ£¯ãêõÃ'Æ»Ï-[ž·õ¹gòíë{ò]÷ø-ë“WëŸ#sß½v>²ŸïöéÕúåŠûËÖ÷áÌx¶Æݲ{·Ç<{ÖVWO­“¿>fË1{vþí9gÏé#Ù°u®­ÛÝûú÷¬¿cÜqŸ¾j¼úüâß_½'g3æ'¼gW~vܺö8³ž92öfÕ«÷fë±yužÜýyõëüÏ~~ÅÚæìµpÕ}úݽæŠ,Ú²¶y÷»½kº½÷Ž#¯së¹ÿèyÏöáŠ5ö³ím¹OÞ•)öåÈñÛº/g®«gûvvsõcß=wÏùø,ßž½G[Îãgž=çѾ=ÛÇG¯áÝØóú^mcOÆÝ9½gßµ6zõÞ?zì»ûä'^Ç–ûÒžãºåÞº_Gî™gÇÞýÛrÙ³ý½÷žgso½Ž¯WeûÑóËŸo¹ŽÞÏ[öqÏùy&¯ßgë™;®‘½ïÏÖÜxö¸g¯mËc·>fË~m}̳×~×ûñu?^g¯ŽÝ_þòŸïﻹ^ýûèØz¼ÌwÕýäèk=º¸j®ïß‘C?emºgìYw<û÷™{þ«{äž5ÍÖóùÝ}kïu¾'“®X½Û¿¯Y{æpÅ6ŽÎ{åüʵðžùöÜÇ÷<çÏǽº×?;§ÞC?yïÝr]o9^wÞŽdý–5ÙÞûòU×÷»}Ù²«ÆïíOÿýÖñu½uívõzúìç‰-ÛÞòû-û|ä|Þs¼®xoÏlãÓëÌG¯ûÙÚàì1¾b칧lÙÖÞã}tûŸ\cíÏòçÕ㯘ó;žûuw¬}ŽÜ?Ž®}·äá]ïéÑs{ï5´wòÜ#çОµØ£ç}Íõ=YqÅùúl?=þUFlyþÖ}{7®Z7ì]Gï9¯ÏœO{ÆOÍŠ=cÏù¼çœ?r,ß][îÅ{çÜòû;×Pþ}Ï5qÇ~m¹¯¹n·Ì{ôq{rûÙvžåï«syÏy¾ç\~µ-ëÅW÷Çw¯çÕ½èëï·þÙûÜG¯áÑþ¾¯îïî¹{î¥G÷sϽìÕãŽ\‡ïÎå­¯éÝÏ_eÅ•÷œ«Æ»óòÌvýï£ß=û÷ѹîÏ2çÌ>ì9¾[söÕö÷Þ/¶^§[ï[²îè>|ÝþÙ?yðßO;®ÿ½çç•¿{w mÉÌ=cËöÏߣðîõ½ß¿º§?úÝ–uÀ–y¶ž§G¯Ã-Û|´ßï¶qE>ü´ç^=Þ—W_?[λ=ÛÛúø­Ï=zÍï}Ü»Çn9&Ι=û°õµÞqÞmÝî»ìÛ»í;ÞÇgÏ¿â|Þ“o[ž»'?ßg÷¡­yµõÜÞ»[wÕóÿÆ‘kñÏ¿yŸŽdóUãŠ,ùÏ‹£çùÙkhë6ö>ë}êÙy{fîGÙr άa¶ü|˶ölóÊsÿÙûuõ{ác?±f<;^ÇW¯ÅŽó½Û~4Ï×÷âÙ=äÑ{vd»¯¶ÿèç[Ç£µÍU×ôÞ¹·®³ÎÌ}f¸õ\Û“[Ö—[~ÿhŸ­g·Œ£yü‰Œyt¾^y/úÔóïÜÞ³ŒØ»3Ïß²íWóœYm™ûÙZ`뵶eŸÞíÑÇlÍË#™þ,—žÝ§ÎäÌ•k±=s™cËvÞÏŸZ‡Wìãw½Îwk®wÏ}öïwïýÖsþ“ÇeÏyÿ;œ—ŽWûzv=úìggß»OßGY½åqGçºj½þîwGÿ•Ÿ'ÎÜÛöÌÿî¾ûìg[÷ñªûá³mž™óÌ{}v¼šûìšõ®Ï {Ž×™ãº÷õ?;WŸ=þÈ~œyÞžü;’•ïŽõ'Ö w¯§?qù‰ãÈZðQN¿Ûöžßmùý–ç^™½2àÑœÏþýìg[~·eÜq^y_ïžûªÇß5îº7Þ9ïÙσG×[×€þüêãqæ>~$_>±NøïUGŽûžuøUsÇö^=fËë>ºæ{÷û;ïá[çþã/χ»Æ÷ð#Û¸ósÙÑí¾ÊõWçä»kúªÏ{ïÞÃw÷ÀwÛ;rmýüùõ1W®oýýÑ¿Ÿ=ËúøÙ¶¯Ê¨wû°'G¯8ߎ<çîëøÌõüj{Gý×ímݧw??»–}õû½çÞÖíﯮ¹«ï‡ÏÖä¯~¶e{wÞ³÷®«Îœ[¯WÏýú˜­ÇèÙúgï}jëy{Õu~ÕzéèýêÙc·¬Žœ7[Þ÷=ûòn®;î)[Α£×Ñ™cðj}¶w_®¾Wm™oÏãnkÏïÞÝóß#kŒO<öè}{ïÜw­ßíë'׬G¶÷<{Æ–{ö£Ç?zì•™ñj}µgûWåéÞmýñåÏ£ßmWßoöŒgk°wëª+æÝò³G??{LÎ̽w»gÇÕ÷à+÷ñ̽äì~|bí²wûW­c?1~â½Êñì3È'?wíßq¯øLvt›{Ç£{Ë•çýÖϳgÖ?{öeÏgÓ3ëígçûÙϯ¶svlY/ÝqnÙÞן¹Ÿ½zγsóŠkcÏ1|õçëþìyÿ^½?{_ß]kÐwÇúÙï_½_{¶ýj›[ž÷î½{7ç–ùöîß×}»zœY{^9ÇUsÝÆw¯ƒÚ¼Ž½ŸóžÛ²lïu½w\õüWyp÷ºðêõÏãªë÷;Þ÷Wyt=st¼»†ÎloË¿÷lï§wWÜ—¯zMwœÇ{ÎÏ?wç{´w¶nëè9vå{xçu}ä±[î?WïÇÛØû9íÌ5}æ±WKw]G?£ìÙþ™Çlý<»u_®XÿœÍ¦+×{GöyËgÓ¿<øýÝ÷+‡ûú]ù¶gžO¬‡®¾–ß­wœ/{Þ³wë†+³ãÝ|[ïµ[såZôÑu°åúß›QWmëÕóÏ®öüüªí?{ìÖãõéûò‘sqËv÷lãèÜGž÷îÜúzÍ™ûYn>{ÞÖíïyÞ³Ç>ˆ3ûtöñ{svË|ïî{~÷n®gÿ¾ó¿g÷õçGïÕ{÷çÊ9¶\gÏ~vv¾-Û²¹rŽÛ­×Õ‘c»gíóõx]}.^õ¼ÚîÖõÞó^µÝ-ÇåŽóõÑ㎬uŽ¼¯ïòbË5ñh-½w?žm÷Ùö®¾g\5®Z£yü‘õÏ»õÅ«ëúÕ½rïzâÝv·ž[æ<³ÖÙ{ŒÏ¬ßŽ¾§Ïþ~ö>zΞŒÙú¼#kÃ3yðlÿ¶æß«ímy¶ææ»uÔÖsíȵùì±[ŽÝ»±÷Úzno½¾öüù:çÞ{Ý»}ß’ÇöýÕ>œ9¾{¶ác¯¼?_}¯ßr>Ÿsï=ìÕ¾<ûý–í^yž¹í™ãÙ¿ïxÍ[öiËó®>GŸÍóÝãÝ5rdmµ÷~±u¾w½c¾½Û¼*oŽÎ·gqf¾gsÞñºÏäݳãñ“®ÁwãÙëúŽûèÑm½V·¼_GÖmﶿg-÷ê¸m{ŽýÑsø]6<Ë’w×ü£yöìãUë™=ßòžm]?=;¾þþÝ}qï9ì1Þ²ý3ãyùê8>û÷××üè˜<ÛΣm¾»î®1îz®¾§ÿùï-÷ù«Öä{¯¹­ÛÝ2^åÿk…½k§#{5×–±õ¼xõÜ;Ön¯¶»5CŽŒ£÷²Odç–yμÿ?åž²åú?ú:÷¾¿Ÿº'>ûùÑkë®ý>ò^Y£ïîé[Ö´[×nGsä±{·óêž÷è±_ï…w¿Ž«×IgræÝõþh?¯˜ïÊûìÖý~7ß•÷¶»ÖmG·åú໯ó+·yÅv÷dã÷ª#ïÇÞçÜq»êygŽáÑ,þzÞ<úó—¶÷.¶ìÿÖ÷9³vÛ;×Öñ©Ï(ïæÝóz¾§Ÿ\Ã_¹Žq›W>îÙcîû«ëóÙzéÙsÎfà]×Ï»×tf{¶¹u·5û®/Þö¬ÞýìÕï¼ï{ŽÅÙ×±7{^]Gïæܲ=cËg†³ï÷ÕãlŽ¼ÚæÞßÝö»Çí¹þÏÎôñŸG¯•-y²ç=z´æÝ:Ï–}|÷¼-÷•³ë„#¿{õú·ìãÞ5ô÷çWÿög[²ùìµ{Ç:óë~œ½o|GVœ™óÓkÈ+¶wöõ>»oÍœOÜ?®ÌèGÛغÆÙûû»Ç»÷ãÊsvï}àÇæìú~Ï6ß=æ»Ï…£ãŠõý'î·G¶·e¿®È£-ûñõï{¶se?z_¯¸\ùÜ«Ï¥=Û=s?{î™ã{ö=½r½÷󮛯˜ûÈ6®ÎúW×ùUkñ»?3\õ¸»žï6®~¯Âk{µ­WùtÕüÏ®Ï#×ö‘µùUkâ½ë†­ÇðêëxëñzôØ­¿{÷˜-óî}ŸÞÍ¿uî=ãîµàѱõÚ9úü­¿òXïÙ‡=×ú–ß}j¼;ŽGï?{¯³™sŶžm{OŽ½O½º¯ì½¿{Ž¾'Ÿ{ÎÛ#™ûé×xô<•=?í5œ}üÕÏ¿rl=Þ{reÏúô®qõ=ùÑkÚòÚ¶ÜW>µqÎGϹòÞñêç[Ù»ûëÑûÞ«{ѳßoÙî³Ç¼z÷‹=ãÌÚñQoÝÞUë¯-ïí'såÌ\¯^Ë«uå_¾üîÙvß#W§³Ç`Ëyµg¾³çÚ§îã[îþý§­_Âõ÷l¼;N{ï[ÏŽÿÙ5Ò]ãŠõÛ™Ç>{λlÚ›ïG÷éì¹»çù^ã–,¿"G¶îË«ÇY½šóÝc®\g=ÛöûqÅÚçÑõpUÆ_y;s?¾zœ]ó^õ¼g÷è-Û:ó~þ„uÛ×m<ʳ­s=·¶ÜŸ·ìË–y·ž ÏÖ³¯¶ÿêXì]Ÿ]‹ŸwÜWÒšwëx÷™æŽõÙÙçÝŸwkº£ûsvlÍ -ïų÷ñÙcöìבûÙÕÇøìu{tÜùùãÌšzÏïæ÷çìüwçÈÑõû³çžyOö>ö赺gwźÿÝÏ_=öÑ㶜û{ïÉï^ç£÷ýêûקî{ÎO¬OŽÛ+2æÕ¶_ýûèvö>wïõ÷‰uבq÷ºé®sálV½úﻟmÙ—?þlMþîï[¶¿g_þÖÇ÷û3ãÈÚâL–|}þë‘=¿ÿÄ}kÏØ»?{ןxm{2êëc·ÞË>½Þx·ýŸ°&ÛúÜ=ëú³sýù÷£ë´O]»Ÿ>w®þL¶÷1{Ç]ëÈ«öuï¹ól?¶œ«{?{ìyÌ•Yf¼Ú§?¾üyõÜßa\ý~¾zΖ¹îøݧƕû°'sŽ¬~êgà+æ½ës®Û¿êq[ÖˆWdßÑ휽æý÷Þµñ™ûî'Ƴkñ®ýÛ²®|·OŸüŒ¼åñG×-GÖÊ?ásâ×ÓÑÇnY'ž=þÏþ»eߎŽ3çö«ëåèµ|Ç:àÊÏ£þýÕû¿%ßýûÝó¯{ß›O¬Í¾k\ýÙèÙyqeŽî]‹ž[Ï•O®£÷ÏŽŸ|ÿ^Í}õö¶Ü?Ÿ][sñÝ\¯î¡Ïž»uµç|4_ÏæÃw­UßmëÙ{úè}ß²~¸z]¾w­}v]]‘}?áµ[Ö[Ƴ÷þÕ¶öäÁ£m¿šëÝ>úïGÿ}•?ïŽû×}{wŒ·üûèØzϼb½ttì9ß®¼}ÎÞ ØškŸZ[lyÌÕÛ¸â};ºO×#Ï}—KÏ~vdÎ-kÅ-Û}w¯ßºÝz½ÛÞ«\Ý2ÿ«×på¹{æ˜_ñ˜-ÏÝ3×™5Û÷œw×ÕÞ{Þ–}xµß{×\wŽwë’=ÏyôüwçÌ™÷æÑ6Þ]ë϶}ö˜oyþÖÇøß=s?zÝïÎýYûhnëŠq$óž½–#×öU?úÜ=ûýÉ×°e;WæÖUëËOÝ_¯<ß>•ÿïæ?s~½Zo½zÞ«Ÿm™ûÝ:skVì]ïÝ•íGÆ–cîïž]'ŽÕ³íͬ-ÇeË}æ;®™=ûråzcϾÜ9¾+§ÎÜ>çŽm¸­-ëÖwóßù~\•EGžw×:çêëðŠÏg¶ÿéíÜ9ï§öqKVoùÝ«õÇ»ûÄÖçì]K½Zó¾zîwÞc·®£®ØÖOÖ7gÖÍG×ï{Æ™,Ûû_™ÓGÏí»îAgÇw]“Ÿ¾w>›wËç½=óü„Ìø®õË–ùý}ïsÏîÞŒûDnŸ~¿žwŸënó“Ï;3®þü÷(“ÞœwÿÅ¿ùO¿û¯ÿßÿòÿîþþÿõþòúþÏþð_þý¿üÿŸþñ_üÏÿwÿüŸþþ_ýÿÿý¿üþëÿñ?ýwÿýßÿËŸÿúç¿û—ÿÿýŸ›øÿÓ¿üoÛýÿø7ÿœ~ý-~ý-ÿú[ùõ·úëoí×ßú¯¿_›ÿéoÿ»NÿöÏýü‡ÿçßýÝŸûòßü»ù÷ÿôÿé_ÿõóÿþþŽüWÿ×ú‡¿ÿïþç?wõ¿ýç¿û‡?ŸùøoÿéßýOÿð÷ÿø/÷Ïþþÿû§ø»üwÿòÿþ?üÓ?ÿË—Ãø_ÿó?ýþ/ÊÿõùO¿øãÏWþÇŸ/ü?_÷¾ì?þ|Õüù¢ÿøó5ÿñçKþãÏWüo~½à“~Õô먦_G5ý:ªé×QM¿ŽjúuTÓ¯£š~Í¿æˆ_sį9â×ñkŽø5Güš#~Í¿æˆ_sä_sä_sä_sä_sä_sä_sä_sä_sä_sä_s”_s”_s”_s”_s”_s”_s”_s”_s”_s”_sÔ_sÔ_sÔ_sÔ_sÔ_sÔ_sÔ_sÔ_sÔ_sÔ_s´_s´_s´_s´_s´_s´_s´_s´_s´_s´_sô_sô_sô_sô_sô_sô_sô_sô_sô_sô_sŒ_sŒ_sŒ_sŒ_sŒ_sŒ_sŒ_sŒ_sŒ_sŒ_sÌ_sÌ_sÌ_sÌ_sÌ_sÌ_sÌ_sÌ_sÌ_sÌ_©“þí¿]M믱þš×_Ëúk]më¯}ýu¬¿®ÙÒš-­ÙÒš-­ÙÒš-­ÙÒš-­ÙÒš-­ÙbÍk¶X³Åš-Öl±f‹5[¬ÙbÍk¶¼fËk¶¼fËk¶¼fËk¶¼fËk¶¼fËk¶²f+k¶²f+k¶²f+k¶²f+k¶²f+k¶ºf«k¶ºf«k¶ºf«k¶ºf«k¶ºf«k¶¶fkk¶¶fkk¶¶fkk¶¶fkk¶¶fkk¶¾fëk¶¾fëk¶¾fëk¶¾fëk¶¾fëk¶±fk¶±fk¶±fk¶±fk¶±fk¶¹f›k¶¹f›k¶¹f›k¶¹f›k¶¹f[Y+KbeI¬,‰•%±²$V–ÄÊ’XY+KbeI¬,‰•%±²$V–ÄÊ’XY+KbeI¬,‰•%±²$V–ÄÊ’XY+KbeI¬,‰•%±²$V–ÄÊ’XY+KbeI¬,‰•%±²$V–ÄÊ’XY+KbeI¬,‰•%±²$V–ÄÊ’XY+KbeI¬,‰•%±²$V–ÄÊ’XY+KbeI¬,‰•%±²$V–ÄÊ’XY+KbeI¬,‰•%±²$V–ÄÊ’XY+KbeI¬,‰•%±²$V–ÄÊ’XY+KbeI¬,‰•%±²$V–ÄÊ’XY+KbeI¬,‰•%±²$V–ÄÊ’XY+KbeI¬,‰•%yeI^Y’W–ä•%yeI^Y’W–ä•%yeI^Y’W–ä•%yeI^Y’W–ä•%yeI^Y’W–ä•%yeI^Y’W–ä•%yeI^Y’W–ä•%yeI^Y’W–ä•%yeI^Y’W–ä•%yeI^Y’W–ä•%yeI^Y’W–ä•%yeI^Y’W–ä•%yeI^Y’W–ä•%yeI^Y’W–ä•%yeI^Y’W–ä•%yeI^Y’W–ä•%yeI^Y’W–ä•%yeI^Y’W–ä•%yeI^Y’W–ä•%yeI^Y’W–ä•%yeI^Y’W–ä•%yeI^Y’W–ä•%yeI^Y’W–ä•%yeI^Y’W–ä•%yeI^Y’W–ä•%eeIYYRV–”•%eeIYYRV–”•%eeIYYRV–”•%eeIYYRV–”•%eeIYYRV–”•%eeIYYRV–”•%eeIYYRV–”•%eeIYYRV–”•%eeIYYRV–”•%eeIYYRV–”•%eeIYYRV–”•%eeIYYRV–”•%eeIYYRV–”•%eeIYYRV–”•%eeIYYRV–”•%eeIYYRV–”•%eeIYYRV–”•%eeIYYRV–”•%eeIYYRV–”•%eeIYYRV–”•%eeIYYRV–”•%eeIYYRV–”•%eeIYYRV–”•%eeIYYRV–”•%eeIYYRV–”•%ueI]YRW–Ô•%ueI]YRW–Ô•%ueI]YRW–Ô•%ueI]YRW–Ô•%ueI]YRW–Ô•%ueI]YRW–Ô•%ueI]YRW–Ô•%ueI]YRW–Ô•%ueI]YRW–Ô•%ueI]YRW–Ô•%ueI]YRW–Ô•%ueI]YRW–Ô•%ueI]YRW–Ô•%ueI]YRW–Ô•%ueI]YRW–Ô•%ueI]YRW–Ô•%ueI]YRW–Ô•%ueI]YRW–Ô•%ueI]YRW–Ô•%ueI]YRW–Ô•%ueI]YRW–Ô•%ueI]YRW–Ô•%ueI]YRW–Ô•%ueI]YRW–Ô•%ueI]YRW–Ô•%meI[YÒV–´•%meI[YÒV–´•%meI[YÒV–´•%meI[YÒV–´•%meI[YÒV–´•%meI[YÒV–´•%meI[YÒV–´•%meI[YÒV–´•%meI[YÒV–´•%meI[YÒV–´•%meI[YÒV–´•%meI[YÒV–´•%meI[YÒV–´•%meI[YÒV–´•%meI[YÒV–´•%meI[YÒV–´•%meI[YÒV–´•%meI[YÒV–´•%meI[YÒV–´•%meI[YÒV–´•%meI[YÒV–´•%meI[YÒV–´•%meI[YÒV–´•%meI[YÒV–´•%meI[YÒV–´•%}eI_YÒW–ô•%}eI_YÒW–ô•%}eI_YÒW–ô•%}eI_YÒW–ô•%}eI_YÒW–ô•%}eI_YÒW–ô•%}eI_YÒW–ô•%}eI_YÒW–ô•%}eI_YÒW–ô•%}eI_YÒW–ô•%}eI_YÒW–ô•%}eI_YÒW–ô•%}eI_YÒW–ô•%}eI_YÒW–ô•%}eI_YÒW–ô•%}eI_YÒW–ô•%}eI_YÒW–ô•%}eI_YÒW–ô•%}eI_YÒW–ô•%}eI_YÒW–ô•%}eI_YÒW–ô•%}eI_YÒW–ô•%}eI_YÒW–ô•%}eI_YÒW–ô•%}eI_YÒW–ô•%ceÉXY2V–Œ•%ceÉXY2V–Œ•%ceÉXY2V–Œ•%ceÉXY2V–Œ•%ceÉXY2V–Œ•%ceÉXY2V–Œ•%ceÉXY2V–Œ•%ceÉXY2V–Œ•%ceÉXY2V–Œ•%ceÉXY2V–Œ•%ceÉXY2V–Œ•%ceÉXY2V–Œ•%ceÉXY2V–Œ•%ceÉXY2V–Œ•%ceÉXY2V–Œ•%ceÉXY2V–Œ•%ceÉXY2V–Œ•%ceÉXY2V–Œ•%ceÉXY2V–Œ•%ceÉXY2V–Œ•%ceÉXY2V–Œ•%ceÉXY2V–Œ•%ceÉXY2V–Œ•%ceÉXY2V–Œ•%ceÉXY2V–Œ•%seÉ\Y2W–Ì•%seÉ\Y2W–Ì•%seÉ\Y2W–Ì•%seÉ\Y2W–Ì•%seÉ\Y2W–Ì•%seÉ\Y2W–Ì•%seÉ\Y2W–Ì•%seÉ\Y2W–Ì•%seÉ\Y2W–Ì•%seÉ\Y2W–Ì•%seÉ\Y2W–Ì•%seÉ\Y2W–Ì•%seÉ\Y2W–Ì•%seÉ\Y2W–Ì•%seÉ\Y2W–Ì•%seÉ\Y2W–Ì•%seÉ\Y2W–Ì•%seÉ\Y2W–Ì•%seÉ\Y2W–Ì•%seÉ\Y2W–Ì•%seÉ\Y2W–Ì•%seÉ\Y2W–Ì•%seÉ\Y2W–Ì•%seÉ\Y2W–Ì•%seÉ\Y2W–Ì_Yò_¤û+Lþãßþžù{áï•¿7þÞùûàïÌ›˜71obÞļ‰yó&æMÌ›˜71o0o0o0o0o0o0o0o0o0o0ofÞ̼™y3ófæÍÌ›™73ofÞ̼…y óæ-Ì[˜·0oaÞ¼…y óVæ­Ì[™·2oeÞʼ•y+óVæ­ÌÛ˜·1ocÞƼyó6æmÌÛ˜·1ogÞμy;óvæíÌÛ™·3ogÞμƒyóæÌ;˜w0ï`ÞÁ¼ƒyóNæÌ;™w2ïdÞɼ“y'óNæ%¯y•È«D^%ò*‘W‰¼JäU"¯y•È«D^%ò*‘W‰¼JäU"¯y•È«D^%ò*‘W‰¼JäU"¯y•È«D^%ò*‘W‰¼JäU"¯y•È«D^%ò*‘W‰¼JäU"¯y•È«D^%ò*‘W‰¼JäU"¯y•È«D^%ò*‘W‰¼JäU"¯y•È«D^%ò*‘W‰¼JäU"¯y•È«D^%ò*‘W‰¼JäU"¯y•È«D^%ò*‘W‰¼JäU"¯y•È«D^%ò*‘W‰¼JäU"¯y•È«D^%ò*‘W‰¼JäU"¯y•È«D^%ò*È« ¯‚¼ ò*È« ¯‚¼ ò*È« ¯‚¼ ò*È« ¯‚¼ ò*È« ¯‚¼ ò*È« ¯‚¼ ò*È« ¯‚¼ ò*È« ¯‚¼ ò*È« ¯‚¼ ò*È« ¯‚¼ ò*È« ¯‚¼ ò*È« ¯‚¼ ò*È« ¯‚¼ ò*È« ¯‚¼ ò*È« ¯‚¼ ò*È« ¯‚¼ ò*È« ¯‚¼ ò*È« ¯‚¼ ò*È« ¯‚¼ ò*È« ¯‚¼ ò*È« ¯‚¼ ò*È« ¯‚¼ ò*È« ¯‚¼ ò*È« ¯‚¼ ò*È« ¯‚¼ ò*“W™¼ÊäU&¯2y•É«L^eò*“W™¼ÊäU&¯2y•É«L^eò*“W™¼ÊäU&¯2y•É«L^eò*“W™¼ÊäU&¯2y•É«L^eò*“W™¼ÊäU&¯2y•É«L^eò*“W™¼ÊäU&¯2y•É«L^eò*“W™¼ÊäU&¯2y•É«L^eò*“W™¼ÊäU&¯2y•É«L^eò*“W™¼ÊäU&¯2y•É«L^eò*“W™¼ÊäU&¯2y•É«L^eò*“W™¼ÊäU&¯2y•É«L^eò*“W™¼ÊäU&¯2y•É«L^eò*“W™¼ÊäU&¯ yUÈ«B^òªW…¼*äU!¯ yUÈ«B^òªW…¼*äU!¯ yUÈ«B^òªW…¼*äU!¯ yUÈ«B^òªW…¼*äU!¯ yUÈ«B^òªW…¼*äU!¯ yUÈ«B^òªW…¼*äU!¯ yUÈ«B^òªW…¼*äU!¯ yUÈ«B^òªW…¼*äU!¯ yUÈ«B^òªW…¼*äU!¯ yUÈ«B^òªW…¼*äU!¯ yUÈ«B^òªW…¼*äU!¯ yUÈ«B^òªW…¼*äU!¯ yUÈ«B^òª’W•¼ªäU%¯*yUÉ«J^Uòª’W•¼ªäU%¯*yUÉ«J^Uòª’W•¼ªäU%¯*yUÉ«J^Uòª’W•¼ªäU%¯*yUÉ«J^Uòª’W•¼ªäU%¯*yUÉ«J^Uòª’W•¼ªäU%¯*yUÉ«J^Uòª’W•¼ªäU%¯*yUÉ«J^Uòª’W•¼ªäU%¯*yUÉ«J^Uòª’W•¼ªäU%¯*yUÉ«J^Uòª’W•¼ªäU%¯*yUÉ«J^Uòª’W•¼ªäU%¯*yUÉ«J^Uòª’W•¼ªäU%¯*yUÉ«J^Uòª’W•¼ªäU%¯yÕÈ«F^5òª‘W¼jäU#¯yÕÈ«F^5òª‘W¼jäU#¯yÕÈ«F^5òª‘W¼jäU#¯yÕÈ«F^5òª‘W¼jäU#¯yÕÈ«F^5òª‘W¼jäU#¯yÕÈ«F^5òª‘W¼jäU#¯yÕÈ«F^5òª‘W¼jäU#¯yÕÈ«F^5òª‘W¼jäU#¯yÕÈ«F^5òª‘W¼jäU#¯yÕÈ«F^5òª‘W¼jäU#¯yÕÈ«F^5òª‘W¼jäU#¯yÕÈ«F^5òª‘W¼jäU#¯yÕÈ«F^5òª“W¼êäU'¯:yÕÉ«N^uòª“W¼êäU'¯:yÕÉ«N^uòª“W¼êäU'¯:yÕÉ«N^uòª“W¼êäU'¯:yÕÉ«N^uòª“W¼êäU'¯:yÕÉ«N^uòª“W¼êäU'¯:yÕÉ«N^uòª“W¼êäU'¯:yÕÉ«N^uòª“W¼êäU'¯:yÕÉ«N^uòª“W¼êäU'¯:yÕÉ«N^uòª“W¼êäU'¯:yÕÉ«N^uòª“W¼êäU'¯:yÕÉ«N^uòª“W¼êäU'¯:yÕÉ«N^uòª“W¼êäU'¯y5È«A^ òjWƒ¼äÕ ¯y5È«A^ òjWƒ¼äÕ ¯y5È«A^ òjWƒ¼äÕ ¯y5È«A^ òjWƒ¼äÕ ¯y5È«A^ òjWƒ¼äÕ ¯y5È«A^ òjWƒ¼äÕ ¯y5È«A^ òjWƒ¼äÕ ¯y5È«A^ òjWƒ¼äÕ ¯y5È«A^ òjWƒ¼äÕ ¯y5È«A^ òjWƒ¼äÕ ¯y5È«A^ òjWƒ¼äÕ ¯y5È«A^ òjWƒ¼äÕ ¯y5È«A^ òj’W“¼šäÕ$¯&y5É«I^Mòj’W“¼šäÕ$¯&y5É«I^Mòj’W“¼šäÕ$¯&y5É«I^Mòj’W“¼šäÕ$¯&y5É«I^Mòj’W“¼šäÕ$¯&y5É«I^Mòj’W“¼šäÕ$¯&y5É«I^Mòj’W“¼šäÕ$¯&y5É«I^Mòj’W“¼šäÕ$¯&y5É«I^Mòj’W“¼šäÕ$¯&y5É«I^Mòj’W“¼šäÕ$¯&y5É«I^Mòj’W“¼šäÕ$¯&y5É«I^Mòj’W“¼šäÕ$¯&y5É«I^Mòj’W“¼šä¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ðío|{àÛßøöÀ·¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾=ãÛ3¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½àÛ ¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½âÛ+¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½áÛ¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾½ãÛ;¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}àÛ¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛ'¾}âÛçòíÿeú· ¸ÿoÿHþ#üGöÅTÿÑüG÷øÉ=HîAr’{܃ä$÷ ¹É=HîA¸á„{îA¸á„{îA¸ád÷ »Ù=ÈîAv²{݃ìd÷ »Å=(îAqŠ{P܃â÷ ¸Å=(îAuª{P݃êT÷ ºÕ=¨îAuª{Ð܃æ4÷ ¹Í=hîAsš{Ð܃æt÷ »Ý=èîAwº{Ð݃ît÷ »Ã=îÁp†{0܃á ÷`¸Ã=îÁt¦{0݃éL÷`ºÓ=˜îÁtÌÄd&&31™‰ÉLLfb2“™˜ÌÄd&&31™‰ÉLLfb2“™˜ÌÄd&&31™‰ÉLLfb2“™˜ÌÄd&&31™‰ÉLLfb2“™˜ÌÄd&&31™‰ÉLLfb2“™˜ÌÄd&&31™‰ÉLLfb2“™˜ÌÄd&&31™‰ÉLLfb2“™˜ÌÄd&&31™‰ÉLLfb2“™˜ÌÄd&&31™‰ÉLLfb2“™˜ÌÄd&&31™‰ÉLLfb2“™˜ÌÄd&&31™‰ÉLLfb2“™˜ÌÄd&&31™‰ÉLLfb2“™˜ÌÄd&&31™‰ÉL 31ÌÄ0ÃL 31ÌÄ0ÃL 31ÌÄ0ÃL 31ÌÄ0ÃL 31ÌÄ0ÃL 31ÌÄ0ÃL 31ÌÄ0ÃL 31ÌÄ0ÃL 31ÌÄ0ÃL 31ÌÄ0ÃL 31ÌÄ0ÃL 31ÌÄ0ÃL 31ÌÄ0ÃL 31ÌÄ0ÃL 31ÌÄ0ÃL 31ÌÄ0ÃL 31ÌÄ0ÃL 31ÌÄ0ÃL 31ÌÄ0ÃL 31ÌÄ0ÃL 31ÌÄ0ÃL 31ÌÄ0ÃL 31ÌÄ0ÃL 31ÌÄ0ÃL 31ÌÄ0ÃLÌfb6³™˜ÍÄl&f31›‰ÙLÌfb6³™˜ÍÄl&f31›‰ÙLÌfb6³™˜ÍÄl&f31›‰ÙLÌfb6³™˜ÍÄl&f31›‰ÙLÌfb6³™˜ÍÄl&f31›‰ÙLÌfb6³™˜ÍÄl&f31›‰ÙLÌfb6³™˜ÍÄl&f31›‰ÙLÌfb6³™˜ÍÄl&f31›‰ÙLÌfb6³™˜ÍÄl&f31›‰ÙLÌfb6³™˜ÍÄl&f31›‰ÙLÌfb6³™˜ÍÄl&f31›‰ÙLÌfb6³™˜ÍÄl&f31›‰ÙLÌfb6³™˜ÍÄb&3±˜‰ÅL,fb1‹™XÌÄb&3±˜‰ÅL,fb1‹™XÌÄb&3±˜‰ÅL,fb1‹™XÌÄb&3±˜‰ÅL,fb1‹™XÌÄb&3±˜‰ÅL,fb1‹™XÌÄb&3±˜‰ÅL,fb1‹™XÌÄb&3±˜‰ÅL,fb1‹™XÌÄb&3±˜‰ÅL,fb1‹™XÌÄb&3±˜‰ÅL,fb1‹™XÌÄb&3±˜‰ÅL,fb1‹™XÌÄb&3±˜‰ÅL,fb1‹™XÌÄb&3±˜‰ÅL,fb1‹™XÌÄb&3±˜‰ÅL¬fb5«™XÍÄj&V3±š‰ÕL¬fb5«™XÍÄj&V3±š‰ÕL¬fb5«™XÍÄj&V3±š‰ÕL¬fb5«™XÍÄj&V3±š‰ÕL¬fb5«™XÍÄj&V3±š‰ÕL¬fb5«™XÍÄj&V3±š‰ÕL¬fb5«™XÍÄj&V3±š‰ÕL¬fb5«™XÍÄj&V3±š‰ÕL¬fb5«™XÍÄj&V3±š‰ÕL¬fb5«™XÍÄj&V3±š‰ÕL¬fb5«™XÍÄj&V3±š‰ÕL¬fb5«™XÍÄj&V3±š‰ÕL¬fb5«™XÍÄf&63±™‰ÍLlfb3›™ØÌÄf&63±™‰ÍLlfb3›™ØÌÄf&63±™‰ÍLlfb3›™ØÌÄf&63±™‰ÍLlfb3›™ØÌÄf&63±™‰ÍLlfb3›™ØÌÄf&63±™‰ÍLlfb3›™ØÌÄf&63±™‰ÍLlfb3›™ØÌÄf&63±™‰ÍLlfb3›™ØÌÄf&63±™‰ÍLlfb3›™ØÌÄf&63±™‰ÍLlfb3›™ØÌÄf&63±™‰ÍLlfb3›™ØÌÄf&63±™‰ÍLlfb3›™ØÌÄf&63±™‰ÍLìfb7»™ØÍÄn&v3±›‰ÝLìfb7»™ØÍÄn&v3±›‰ÝLìfb7»™ØÍÄn&v3±›‰ÝLìfb7»™ØÍÄn&v3±›‰ÝLìfb7»™ØÍÄn&v3±›‰ÝLìfb7»™ØÍÄn&v3±›‰ÝLìfb7»™ØÍÄn&v3±›‰ÝLìfb7»™ØÍÄn&v3±›‰ÝLìfb7»™ØÍÄn&v3±›‰ÝLìfb7»™ØÍÄn&v3±›‰ÝLìfb7»™ØÍÄn&v3±›‰ÝLìfb7»™ØÍÄn&v3±›‰ÝLìfb7»™ØÍÄa&3q˜‰ÃLfâ0‡™8ÌÄa&3q˜‰ÃLfâ0‡™8ÌÄa&3q˜‰ÃLfâ0‡™8ÌÄa&3q˜‰ÃLfâ0‡™8ÌÄa&3q˜‰ÃLfâ0‡™8ÌÄa&3q˜‰ÃLfâ0‡™8ÌÄa&3q˜‰ÃLfâ0‡™8ÌÄa&3q˜‰ÃLfâ0‡™8ÌÄa&3q˜‰ÃLfâ0‡™8ÌÄa&3q˜‰ÃLfâ0‡™8ÌÄa&3q˜‰ÃLfâ0‡™8ÌÄa&3q˜‰ÃLfâ0‡™8ÌÄa&3q˜‰ÃLœfâ4§™8ÍÄi&N3qš‰ÓLœfâ4§™8ÍÄi&N3qš‰ÓLœfâ4§™8ÍÄi&N3qš‰ÓLœfâ4§™8ÍÄi&N3qš‰ÓLœfâ4§™8ÍÄi&N3qš‰ÓLœfâ4§™8ÍÄi&N3qš‰ÓLœfâ4§™8ÍÄi&N3qš‰ÓLœfâ4§™8ÍÄi&N3qš‰ÓLœfâ4§™8ÍÄi&N3qš‰ÓLœfâ4§™8ÍÄi&N3qš‰ÓLœfâ4§™8ÍÄi&N3qš‰ÓLœfâ4§™8ÍÄi&N3qš‰ÓLœfâ4§™h%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöXR5«™h%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–d%ÙcIöX’=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%ì±ü‡¸f¢=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%채=–°ÇöXÂKØc {,a%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%ÛcÉöX²=–l%Ûcùÿ2m§’AUºêüõWlç˜Á`œYèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–ßðMÔ±„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇò>°‰:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéX~Ã6QÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciËoøÀ&êXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cù ØDËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,¿á›¨cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽå7|`u,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±Žåû‡cù?žãs„#åhÇ8ÖáƒçƒçƒçƒçƒçƒçƒçƒçƒçƒçƒÏŸ>|>ø|ðùàóÁçƒÏŸÂáƒðAø |>„ÂáƒôAú }>H¤ÒéƒôAú |P>(”ÊåƒòAù |P>h´ÚíƒöAû }Ð>h´ÆãƒñÁø`|0>ŒÆãƒõÁú`}°>X¬ÖëƒõÁúà|p>8œÎçƒóÁùà|`ŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰c×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–W6±l¢ŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>ËoøÀ&êX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽ%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡cù ØDKèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,¿á›¨cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Žå7|`u,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±ü†l¢Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Žet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ßðMÔ±ŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVÇò>°‰:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéX~Ã6QÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–?¦íÔ@’ ‚ J›ouê¯ØÍ1ƒÁ9³Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,‡c©?ËÿŽt”£ãXÇs|„ÂáƒðAø |>„ÂéƒôAú }>H¤ÒéƒôAù |P>(”ÊåƒòAù |Ð>h´ÚíƒöAû }Ð>hŒÆãƒñÁø`|0>ŒÆëƒõÁú`}°>X¬ÖëƒõÁóÁóÁóÁóÁóÁóÁóÁóÁóÁóÁçƒÏŸ>|>ø|ðùàóÁçƒÏçƒóÁùà|p>8œÎç›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žMÔ±„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,16ql¢Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–ßðMÔ±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇò>°‰:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëX~Ã6QÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËoøÀ&êXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cù ØDËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,OÇòt,¿á›¨cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–§cy:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇò>°‰:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧cùt,ŸŽåÓ±|:–OÇòéX>˧c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéX~Ã6QÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±œŽåt,§c9ËéXNÇr:–Ó±Ž¥ÿp,ÿG8ÒQŽvŒcÏñ9|>„ÂáƒðAø |>¤ÒéƒôAú }>H¤ÒåƒòAù |P>(”ÊåƒòAû }Ð>h´ÚíƒöAû }0>ŒÆãƒñÁø`|0>¬ÖëƒõÁú`}°>X¬ÖÏÏÏÏÏÏÏÏÏÏŸ>|>ø|ðùàóÁçƒÏŸ>œÎçƒóÁùà|p>8œlbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølⳉÏ&>›ølâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&~6ñ³‰ŸMülâg?›øÙÄÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6ñlâÙij‰gÏ&žM<›x6QÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,16ql¢Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–ßðMÔ±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇò>°‰:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëX~Ã6QÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËoøÀ&êXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,û¯i{Ç¡¤¢(ÈÏÂb%ˆ¬Ê_-g$ÀÃA¬xƒ0Âh#»¥ÖµŽ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–ÏᛨciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽås¸À&êXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱ¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cù.°‰:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬ŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽås¸À&êXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXžŽåéXŽ¥~Á±|=Âãx\ô(öõpA¸ \.„ Âá‚pA¸ \p\p\p\p\p\p\p\p\p\p\p]p]p]p]p]p]p]p]p]p].H¤ Òé‚tAº ].H” Êå‚rA¹ \P.(” Êí‚vA» ]Ð.h´ Úí‚vÁ¸`\0.Œ Æã‚qÁ¸`\°.X¬ Öë‚uÁº`]°.X<<<<<<<<<ØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M ›61lbØÄ°‰aÃ&†M<6ñØÄcM<6ñØÄcM<6ñØÄcM<6ñØÄcM<6ñØÄcM<6ñØÄcM<6ñØÄcM<6ñØÄcM<6ñØÄcM<6ñØÄcM<6ñØÄcM<6ñØÄcM<6ñØÄcM<6ñØÄcM<6ñØÄcM<6ñØÄcM<6ñØÄcM<6ñØÄcM<6ñØÄcM<6ñØÄcM<6ñØÄcM<6ñØÄcM<6ñØÄcM<6ñØÄcM<6ñØÄcM¼6ñÚÄk¯M¼6ñÚÄk¯M¼6ñÚÄk¯M¼6ñÚÄk¯M¼6ñÚÄk¯M¼6ñÚÄk¯M¼6ñÚÄk¯M¼6ñÚÄk¯M¼6ñÚÄk¯M¼6ñÚÄk¯M¼6ñÚÄk¯M¼6ñÚÄk¯M¼6ñÚÄk¯M¼6ñÚÄk¯M¼6ñÚÄk¯M¼6ñÚÄk¯M¼6ñÚÄk¯M¼6ñÚÄk¯M¼6ñÚÄk¯M¼6ñÚÄk¯M¼6ñÚÄk¯M¼6ñÚÄk¯M¼6ñÚÄk¯M¼6ñÚÄk¯M¼6ñÚÄk¯ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚÄ´‰iÓ&¦ML›˜61mbÚIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–M,›X6±lbÙIJ‰eË&–Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛĶ‰mÛ&¶Ml›Ø6±mbÛı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM›86qlâØı‰cÇ&ŽM\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚĵ‰k×&®M\›¸6qmâÚÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6ñÙÄgŸM|6QÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c K”M,›¨c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,¡c KèXBÇ:–б„Ž%t,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇò9\`u,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,GÇrt,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,ŸÃ6QÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,WÇru,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cù.°‰:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©cIKêXRÇ’:–Ô±¤Ž%u,©c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéX¾þÁÃ6QÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±”Ž¥t,¥c)KéXJÇR:–Ò±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­cù.°‰:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Ž¥u,­ciKëXZÇÒ:–Ö±´Žet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèX>‡ l¢Žet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,£cËèXFÇ2:–ѱŒŽet,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–ÏᛨcYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–Õ±¬Žeu,«cYËêXVDz:–ýϱüðÝ7ß|ÿÏçÅOŸçÛÿ?þøë—¿¾üüûŸ_þøísýýõùÙíHŒ›ggplot2/data/msleep.rda0000644000175100001440000000664112114160774014546 0ustar hornikusers‹¥ pÕU¶¬Ëvç$ 4('¹œ;´”2+G66`Ç®e§ Ó!|­¾¥%«ý›ÕÊFa€P $Ó2´¥d å f¦@)r”ÐÒÂÐLZŽr¦044šôïî{W+ê™Íß÷þûï>¾õ´¬YZ»¦6Tªøä¯5ÕüŸ*þÄøÎTJõ@ 8ŽCuüiäO v#É¥&ÉXÛ5¨ÆóL[OK€ÝÉŠšI-ž¦d€€žÒfPbR#^È1Ãlâ*ÍpÀ ƒ@L2|mìåxÚd2‹De&J³ŠŸÍQC‹÷9'JTب_M :gžgÅE~-, ¯ÑFã*”©icÄD ÚŠŠFI\W:Üf(Tì'sŠ&çU%haÊ$F“Æ \»ºÍ®ÅŠbêaòú²œièàzs×2£ä©Ø ˜&ÓPt»Ü]5G§6à¾þ7¡•øªÀÓ#j“–åšGD´ÓJ žØlÈV…d +ðñȀݩU¾½ ñU¾wÿ9?÷ zö½+ž¯ò<5 »½zìÀ3AÀyõ³ù{ðÕXìûÎT•?å¦T:@UËï@mg¾L Môÿœu}Ä°)ZòB°†å-º2–!Yå÷9à(äô^ûVe ”A>|¸¬æ©nCÉOõ0~YpÇ`}Šß(eÞ# Þ]×l˜¼ü¸Œ’˜Aaër^ Êñ±­ ŠçP8?£¯£ÿñÐÄ’Š–-ªÄmÿí|jÈŒÏDñɤ}Pp«ã(Í ²‡ÒÙü““é6ÑÞ•BÁgÜ0X˜ž>#F0|ÄHåÝH’š—é°<*P¡†ÂÃøm$ƒ¾*\éô¯š;;ødÄJðs­pâÈ?‹¯—£Z_6ʯµ²|!æЈÅ0btüÙwuùÿÂÇÛ»êø‡wÆïvy×@?«¡+³ž"dKˆ’®áW ­ììHEõ¥1“C›ö_Øz¸ó*kð!Ï{Ðs.ä{j<4â,ò‚g›w/—/ÎÖ°oõꃜ¯x"À³ÑŸ“sàü< ÃxÎ@?€œÙ@7 ð‹žë"ô³/ŽÓ`E;Æ =îùñ>ÿûâ…ùyéa»Œn—¾ú ÐW;zKï€þUçOÏa¾>o9°ôÐÃyé0È> (Fä‡ù&½tã:!òTðø@<¤}ô1x¤—v ú~¿ÒŽ‚ÏÀRN‡ú »Ñ° ñbßÇa!ßç׊ó_Båvúã‡v <ú}Øþ úâ&ô>à7?]¢Î×Có«Ðò)Qãóÿ}þ>þü¬àûĘ1k_¸Vz»¯¯ïòYEéàæÍ›Zsô_üB¨+¼̇ó+^ú€C‡ómàýsh¬8¡O‰ó“€~9Ì¥1ÀoÀËaŽ¢üy>½QÎãSáÜŠµ ?œ[ò=Îßå€Û_.æ˜Ç³aEyã<Æ9º¸ÎŒón9ú ï=(ð³P/€ÑÈ×oZ¾ âPpèç‚'ÀþRßýã‰÷7Ôk.Êü7ðÞø8СýÇ…°¢ËÐ.܇sK}þ÷Å+àŸï×ìøç­ð²ªÌ 'L‘öÕn¼ºëµaóý×ï_9õáï~ íœqû̓[×Kéw¼X{ÆiàªùÕõg="è6žúæû'%›¤îtçÞ·}!]ÝZ]œu¦4}í/^Üóù^é‡S»Ö½´CÚ²x÷¨ç\-•ž¬c{㉱ʅûþûÉCÒ²mó÷-%Ò?=yÍ÷ç|*½òÂÛç7où¦¤Þ]2û½Êò¶‚˜c[¦¯ÜsñQé·âý+OsfâË- ýž÷l= vøÛ o±¿e˜y¼ù™7øí&iÌÝWçX†Íû¿Ÿt¹ë‚KÝ>U{†e¡$;~¨àwÕš7'Óùû†Óƒ».¸äÈþÒ —…gXt¢´nZÓà’kžû×;~’RàçT_Û¹KîÜ-å,5.ùLtøKºÏ¾·^´bÞßúÝä›+Oßöìã—eíøùºð§×K™òxH?…ü¹Ëʾƴ´Í‰;ægâ,'o¥¿[á™ú°tîg¶ZGö'~ð¸“× ïË/¶AºÛÑGôÇ&¨“„C/½{Ξ»ÿuËý‰qÀÿK­oH;@ÎG€‡ü÷úÈÿêìŽw:«HNÏœ›ØÔîÐeÏwð-mô;ñs˜tSÃêšI×á眷‰ŸlÇ?±äô%œ5pœÿÌÑ/±ó¨¿hiݶ#q"ÜCîn†´ì¸ üû3§¥+ αÒ`Ê­x¯“žûovê)QrÏÿž ý=Óùœ·"±ö3‹þó» ¢bWºˆR¤ Hï-ôNè! „„ºíbEÅrí×k/W”ÿ ó›'ÏåyÆ73;;3;;³gÏ Ø¡Íý—Ô¼¿¦ˆT“jçâ¿?ÚjøÏ ³+¨{×¾}úö~¢ë Au 4Ïø tj¶Tü)²^qrŽâ¤Rʼn‡'¼£8þ„â¸/ˆ¢8¶†â˜ÅÑÅQÍG^¥8b¤â0ú}–þ†ULû¿SÀùOGû0®^Ô{œ~ºrüQŽßGþNƧ¬”¨Y‰^GlKì¨ ÑGt~´ ±‡ÆíÕI±õžæ¼þj0:Pãæ¼!º®è³ý‡qþΩyŠŽÒ¼EGÓÞèßÇh~£cuÑq´?^÷#:~&ê¾E'e+Nž©8e¢âÔ!ŠÓÇôžŠ3îWœÙ˜ÈùYÉÄŠ³߬±Ä“Š³iw6×?ç)"ãžËõÎ=®8ï"×1ÿb‘â‚«ˆ9Š /$®V\!.Q\\Èõ.aœKçR!rÝK¿Q\ÖxBq9ó°ü Ålæ#›zÙ+‰(®`~V·e™ÏmÙD=÷¢9µˆMˆŒ'§q‘õšÃ<æ|D<¥¸=•Ø’ø‘qoŸGÌ#¾Nä:vÔ!^DlGdÿí˜Bäúv°îvüS1×¹/¹QâcDÖc.÷)wñ‘õ¹3žxñnâÓęĭė‰ìüšDæ3ïf"ó™Ç|æ­ –Yßy*æ'¯!2ŸùÏ™ÏüDæ3Ÿù,`¿4%ÞNìEdÿ¬#2ŸŸ*îb>w¥£Dæs×sÄEDöÏ®·‰?+îæy¶ûRâ]Ä~ÄéÄ-Ä—ˆ_*òü+ä¹Px#±+q4‘ù,,!2Ÿ…<×÷0Ÿ{˜Ï=‰ƒˆ³‰;ˆG‰ÿV,b>‹x~1ŸEO™Ï"æ³hñcÅb!†‰ì“⇉ÌgñB"óYü‘ùÜË|îmN¼“Ø›8•È>Ù{„Èó ¤:±!ñ"χ’QÄeÄbâ{Äÿ(–òü*M©xyæ·ôVÊï'òù\ú ùqĹ”ó|)Í¥¼œÈs½ô#òß)–‰ÊËÎ#¦RÞŒ<ÏͲÛ)Èú/JœH9ïeÜ¿²|ÊߤüSò?(–WSy9ϯòå[QÞŽü#DîWù0âÊ“ß@~7yÞÊߦü3â/*ßw¦òûêyîïcßí»žòä;ûR>‚È~Ü·”¸™rÞgö½H|—ò/‰¿«| å÷ÇÙ·û/'¶¡ün"ûxò£ˆY”g·QÎþÞÏswÿqÊ¿&þ¡ò<‡$ªüÏ㼸™òŽDžÏ‘ç}ëÀlò+‰<”R~‚<Ï‹©üà9Ä•¼ü5ÄÛ(çù~°'å쓃(ŸG~ ‘Ïу¼/|òOȯxHT~è<"ÏŸCì“C-)oKžçÑ¡')–8™ò…ä× (çóãЛ”³Oñ>uØ(¸.‘Ïéã”·'ÿ(yÞk'N¥|1qå…äù\?Ìsïð¯*?r–òGê3(¿”ÈóðûäHgÊùüWóÀ”/#ò>p¤˜ü‹Dž›Gxo<ò»Ê_`Ÿ¼À÷¥‘¿‚xå÷»Q><Ÿ{/di@1>³ëSà¥XbþŸÐ¶é<°;°âfyú%9ú|ÑKøórôùo{Tü‰Žl¸EGÖ$ÏKÐȧ)Ï&Ÿ§ü¨Z—VüÁËžÚu%ù'‰«ˆeÔçÃ}Ôç*£üèóÈßL¤¿ÑÈ/&¾¢q~üÇÊáËËúÓYçé§qCy.ñ}Žå¼)?6¢úc£*{僈ëtþØlêÍ&ÿžâ¸æ:oÜm׸Ç(Ÿ£úãøR;ŽþÆ}¦zããˆ|©߇<Jãù7žó&ÄªÝ |xL˜O~ñ„Ê'6P~â}Äá:"/«“4®I7©¿I Èó8™yÌ:˜ÜEõ&Q½É|(M.U~Jkµ?åjâóêw ýN)&rÿ§Þ¨üÔ™:*×7-¤~¦=Aþ;õ3í•Oç%h/wÓëüéÌÃŒêª7#Få3® ÿ‹âÌÊgÞ©ú3ù’1sŠú›ÉºùêeEt<ëaòÜ×,æ?k­ÚÍbf}¬z³ÎR~Vâ=”$®Õùz÷ž£z³Û©½Ù½ˆÓ‰|ù›}TçÏ©Gl¢qÏiKÌR;sXßs~&\õç¶QùÜejw.§yÌã¼N*Ÿ×<û}ÞËŠóy‰œßBõæ3ógsüUÅÕuþ‚ Õ[0XõìÖx°> üBæ}a¹Î[ÄËÕ"^"e«þ¢Ž¿¨~qßmä8×»¸‡ò‹×¿R\Âx—ðÒ¹ôlÕ_ÚQí.e=.}ŸrƹŒëYÆx— ¦ü-Ê’g_c2U¾¼ q•Æ½<‡NHùrõ³ö€Ê×=Ddž×­öÖÍ'†uÞº5Ä=ÔcÝ­;©üú¦jgýÃ*_Ïócý2Ê·Q¯œ— Úh~ x¿.­ñðyXKý×ÕO?ÖìâËæ®îÏ®!Ä…joÏ™]Ÿë¼]'w§©ŸÝcTo7ûu7_þ ST^XCõ #:^x•Ú/|@ã*ì£ö ¨¿—ú/Oª½=!å÷\Ml®vö\ÏñAäùuÏò…ÿžn꧈¿d(âs}ÏŸš×¢dµSÄ—î¢{4ž¢•ªW4’¸Uí}ªù,ú‘úoQÿÅâXÕ+nK¾‹ÆSü”®»˜/ëÅ[Ônñ>"ëyï:oïToïsÿÞ±”éü½/+_ÒDÇKnTý’ñ:^2Oã(­Uþ#Õ/­úÁ-Mª­|‹cªÇ})í­ë+åG†ÒÉj¿tõªGÿ¥h˜‹[€¾sÉ$1—¶Áçeð9æ^q脘+lj¹ª (GÌÕW€à÷š¡b®MÓ1¶l úCÌu‹Ä´º´_LkŠ¾'¦5â¿1\Ÿ/æ†GÅ´ >sc®˜›:ƒþsól1·$‚°–[¯}"æ¶wÄÜŽï#¦-òÑùj·OÌ]Å´Ç:Û¯sWCÐ.1îs÷™ ؼ±Ý{‹˜Žõ@¯‰¹o„˜û/ó@?1f€^óÐt1ß)æ‘óÅ<Š=|k ûÑé1a·s±˜.ÄtÅžuEº!wÝa»|=ÞVLOÈ{þ,æ ¬«äO^úZÌSà{£.úÜ.¦oXL¿óÄ<Øû#ý1>kˆõ‚íÁi ØxqAÝ ELÏ"_Ï=(fr:Ü‚àwÖ?âbžï)fdè˜Q£ÄŒn'f Ö6¶6è{1ãÖŠØÆÃæ„,1›Þ3 º“QË“Q?SP3Sç‹™†\L‡ÿéàgô3ó Ð41YXGb™5^ÌìÄÌA^ç¼,f.êbÞM ìÍ|¬wö`d Q› Q[‹Ð‹QOK ¿{·õ²ìq1˱†å¨ÇlÔKöj1+P§+Ð+÷ŠY…º]}Ÿ˜5—ˆY‹ü¬}Q̺AbÖÇ6‹Ù€˜7 7¢÷6!Ÿ›‘ÇÍo‰Ù‚±­ÏŠÙv-è 19È÷öš åbvÀþŽ_ÅäÂÿÎbòÚˆÉý"¦ @Ì.ÔÜîs@«Ä^ B~ö Ž"¬­8ô›˜½ˆ¿û_ŠÚ.k Bí”#GûÐßûÊÄì‡ïèïƒÈï!ôÒábŽòðbxñnúá¥b^~WÌ+ðñßżŠš|íf1¯?/æ œo¢>ßBÿ½½{çs1Ç°–w‘ß÷À¿˜?À^|ØW̉­b>‚ücôÊ'?‰ùô[1ÿDŒŸ½-æsÄû%âþ ûþ5jýÄú-êáß7Šù½ò}o1? ¦Ä^üÔ^ÌÏÅü‚Úûõ91¿!Öß‘Ï?ûIÔÑŸèݿЧP·§¾+GÅžñ¹Øjï‹5߉=³¶ØêŠ=ë.±5z‹=»¯ØšÝÄÖºGlí+Äž/öÜ$±ç+6&Ul–bë>$6v¦Øz¥bëï·Nlü3bî›x©ØÐåb“.›|›Ø”®bSˆ ¿$6ò³ØtØhP_l†€>Ûðe±™¯‹mô–ØÆߊ=?Fì÷Š½0KlÓ"±Í^{Ñ~±ÍËÅ^&ö¦)bož/ö–©boÅznë!ööÖbï@ümˆm‡¼ÜyØöÄÞÕ_l‡ bïÆœ{Æ‹½yêØ^ì}ÍÄÞŸÔû rôèát±ÀΣwŠ} yíÔFlç¦b»@§ òÞuØn›Åvß$¶èqÄØó€Ø'‹^À'³Å>5Tloä¯rßçO±}±gý¯§±†þ'ÄøDì@¬yÐboû̱CàcÈob‡ûl™Ø綈¶^ìp¬|>DìHÈGåˆ=sŸØ±ÄŽ«úCìøoÄNMüUì$äi jcªý(vÚ»b§Ï;£³Ø™7‹Íºg%‹(vNšØ¹™bç5;?Cìä`jk᱋Š]\ñýîÜ`¡>ïêk½üWÞCŸëé/é="'¦QÞàR½O¤sž“‡)O¥‡¾™|ˆö“‰!Êv~(Osñ#nÜÉißÉ¿4ò ©çÖéìfPîÐÏWí4ðôÐNå>Ÿéx‡^¾]>]ž¦»ºýqz.¯?\ûèêÎíŸÛWo<Øgo_Óý8]¿zèâêÈÕ…ç?â»>òú;Í‹'ðçíƒË‡Óxq¸uUêk·ƒþð÷ÏÛ÷JýêÐÕŸÃ*öÕ·ã÷·«£LW÷Ä&Ôsèäœ>í¹>iìƹŽ ¨ïæ7ôÖÄëÅÄénß‚óÏåßí¯C¯ŽýsÇÅáú3à9ßÉ3½õº<ùýœÞ9œÃ^ŸûÏRUõìêÎÕ•Ë›ŸoÜn$S½>‰wuëÆi'•vj»¾&rHy‚'O©ÂŽ{þ¥zöœžãSW%=O®ÂŽëC·ng/Ðwþˆ./î9íö!X/ç¹qß^Š§Ÿì­'ä#ǃ|q~ØÛŸg’[1É_——'ß®›öÐÕ_ ÷òŸêùÖçê~ã9/Žã]~½z«OtzõhÏGç?†üy´S‡ãù¯çìërÜÙ«ïô(¯ïÅíâ‹£~,Çc)¯C¬ëâòл8kÓ‹Ó»†wñÒ¯o×á¹Uà9ôëúÕñnÜÏ_Mʺ8«š_×Gê;¬ãç‡vüõ:ÿ.ç/Æóëâ²” ç[ý¥ã­N’ÿ…úòwýV¿ÓÞYôkˆNÏxrçÏéW§Ý3h§šóCûúw~%ˆç¿Ûwþ[}Gþ{ÚqþÜz™Ÿ’#ÔÿŒö¾÷âwñÔ`œÖ«#ŽWŠÇÅïâ:éÅÒå—¼·ÝAÖ×çøÞ:<°C»Ôsqyõóø£ònŸïê«Õ7œ÷ yæ±äq7ñ„Ú+¡~)óÈ_×ùÿ]îk ÷¹„ë(aüïô¾¤ý—|ïñNû_ò“ÊŽ÷º¾ úùtç““Ç2?Á9ÈyÁ9C¬ªoc|û.ßž¾Cç?ÆÍ÷ìT5/XõŸJç[·;ϼsÈùwëuÏwÎ;Œã¸;çÝýÅ=Ÿ)žûn1Чž{î8ýDÏnp?¢_ÿùòâM Ÿ@{.Þ8?O¬óÜó.È‹“{ù žÃnÜËk=OÔ•·ÁsÔ›È=ÿNÏåÝ¿7ùïeÁûõƒû=ÑɃ{±‡Áý™èî=ôWé>Dyð>K»•î¥DÿþåêÀ¿?¹:îW”»û_‡A]yûïêÅÕ£óï5¾ÜGÿ~æë»:ìùû͸ê{ñøquà­?¸r¼*ÞÝký{}pOvýì»}ryЛçô}ÿÁ{(åÁ{CÎû_ߣ‚÷BúóßïSîÞCƒï4ä+}7q}âúƒúÁ{¤Co­"Nÿ|Nöø ‰Á9ïxWß^?Võ|©Ôwn¾ß¯î¼ôú=§Üõk%¤ÝªÞ·Üs @êWzžR^é9à=|ÿÁ¹áõ{ðüõòä?]¾üó±Rýyç‚;·]ŸVõ½Ùÿèo®ôÒ¡7^é;¾wNø}çÇqó¼>­ô¼sý^•ÜÅáÎïÜ Æç·ŠsÂù ¾ozq†ýuU±Ž°g?È[Uç“{î{ö‚糋ËÛgÿûO·WÁsÅñ®Î¼ºóÏW¿Á9âKŽî‰îÜqõëêÛ«ç ¼óÅ¿oýC» ž?ÿ\ñõý¾ôÏ3××Á|ÏŽoß­Ïõwp.zù úÙ{žÏWWOŽ÷ë‚螯î;lP÷ä«ú=†ãtz®_ˆî»´û®|‡ç¼à÷?Ô«ôÞ×sv?ïyÄïÇéÅWé÷$n}nÜõ{UrwÞ¹¼¹~ðú.ÀªäÄà÷¡þ¾9»®ÿ8îö;â¡w÷÷­¤ÖHÐ(Ðt‘Ú7ÿzth7¨¥H͹ øùYÐ øù(hój. ---„.ÜÔº Ôtô%n_˜{æ{)èM‘óî}.ŒÉ©Óôo‘Xd6ö |Ç¢ZbŸ=‚¯Ø{A›Dêá>vèAüÜT1qÅFA[© èZÐÅ ÛEê~D€u°Þ:%ðù°è|ГàkŒÇ¼Jú Ô² A“0']ÄR'FÝš Î°× t„\ÔGÞêω?)’øHJ[P'‘0ìGðÖÿN¿0|§þút Ô„¸Súˆ$ÃN2ö!y¥HÒ4à"ȯ=ŠŸ‘“”ê ý ¡àûcS  ¿¡S@ìoh {BBXWh¹Hˆé r“PÂZâ‘ëø©øy °ô/ò_ Ù=À÷)Šñy"q¨xÔKüS瀚°÷ ˆ-ã¡$d¡[Ó^¬¹ cìW¾ÃØ»0ôÃ÷a½8eÂ@@˜“ ŸáoU?µˆ}‰@' uÕàF‘ ÔL|4Äe®ilAX_äö|ìÃù¨­ °gMÏi!/MQ#ME.œ ‚þ³@ðÑõÙäyÌÇÜLä¦!âÎ@ o:bK‡<µ“V1 ®Ò{ÖÙBœìAd-µßry„ýK« jŸá/r¨ւ܆Ñ_©ðy „ýlý Ý@ÄF Eƒ°Îð‡Ð…½Tìw*ú15ûŒ±”yÈ+j6¹I~{Œ'c¿’P“Ix*$¡’ê ÿDZ×G€'b͉/ãç=À—@ëA¨åDØ ¡ŽÞ¡nÑŸ XOâvòšØû‰ðBþCè‹j9ñö$„Ú uT$ôB2nÁɇ#N×TÔN*j&Œ¾Ž Ò&ëZÓqr¥ý¤|Ú»àÑéø9ýäû’s&£¡“|dƈ4B3qdb™—CŽ\4ÄÚ¢–2zcrÕq5@n`o¬€½AÐOG\騭4Ôgê8 sÓPsixÃŽ gR¿!®0ôRÿ]øQãÉÿ`V ê( }›ò>{Ï€aßR ŸŒs+¥½—‚ø“³@ûô«Ê’PËÉ+Ä”„ñ¤gÀ#×Ɉ?éÝäû1Žs ú¡Š‰ˆ£âb’ «wqž& ¶¯ÌÀ'pi¤›´¢,ˆç\Ý0A¶Ð$H¦u -ø2õ­lb‰ÕÕÜæöŽq‹“@iiNi „)iÛ1h O ¡MHPœÖðöñ­AÇ©âw|\—œ…åœ8b,pÇŽ³ 7‚¸Ã“ÂIåau…,!¬=¤j”…‰PJzpµêɨb¶˜šY™˜zK“oB‰Lizd䀥Ô)Æz"šclß4kiNóÉË›ë )€ÞCDšˆ(ç°ƒŠ»vdÚï5qax•,b@4c- VÝ' ªÊ†0¨²¸L3P<ð£Pm©P´`d½i]A´=1ÁN‡yM@e 2ye65ŠW p†Žz%Éi2)Ô.f<8^ŽLhurÁHp7Äy¸)ɳ.Z³kl4²\b…aU((9¨¨-k¹NõR@åiÜîô÷»þ*ü󩪦Ƹ·àªßïÙïŽ?tàHÀ¤›-¶{:ìP’ÅLgµHŒþ*‡ºk›U9ÚßÕO¦[`-¾ÄF1' ”dàÄEÉŠ+Ã#)Ñ@R¨áãô­³›Èã¾jzâëŒE×)hñqÉ·+/ %eAGvUùÜvD†KªvjjÕ™MK† ¢ãïO,2c2kX†mWÄåß!éã7U$Ë™´Á(‚P” .¯÷=XǪl§JSÖA oMôß8¶ÚE ìØ¥ÄAÞ§Xd¬ªø¾ìµ÷F§7Þ?àäD,ROw+dLH˜†¶ø¥$ÊÅSºÃé«Z¬’vÞ˜Uûx«S]§‰OãY1S|p)ç[¹N›œÏkJ‰àR“)£~ÕCØ£y{7¿mÑ„O†‚¶aŽ “BåD첯ÃW/ŠM)÷[<µ¡ï5L©MÕ ­cÉ«’¤P™5FJaeK¥Á ×.·ŒkdʼnÖè'4K0Ÿ'^M¯Üͤ¹21+,ó*H•\Rg9½–AUnþ¿$^)YÚ²u’Î|¦û³%WŽè¬»Ô®„:ðôù?6åñ FA>sß­Èø2¬O,ƒEùÛ‚ÊtàËç±ãcÏÎñæiËžË#PP¥0à_ᄸÚ&€Ìø¬‚‰(k$(ƒ“'¦ÄhŒ#=zòÕÖ«5ÌôèqÕ·œüˆ‚©ˆ¨¨¡‚OF0ˆ˜(‚ ‚ª©"Z*–š¢aŠŠª¢"(ª*)ªh(©‰ˆˆ­"(§LŠŠ‡Î=¤üt=ÂJ JAôÒT}äH‘AU”¢”©c¥ Ä–Ûj²ÛˆÑ²Ô¡J2fI&da‘`%P!%PHDa…ìÊ¿„é T‚I%‘Né* eW{„fV €ZQ%)X"a(É ÂÊöd¡0¤Ê‚Ð(~4•]÷–y°cÆ_ÖƒüýY±éɕϦ@šP÷ áe—¾…)Eê"4ɤ»__ÃGc  JÈ:'°„ä8BÐuֽн= 9Œg‚ Š>2²ˆBR„¢‚\ËgXá&§Rj †ÖMªcPk D••+PZÊŠE–"’‹J£+ J¢ŠÆ¿‡còÓvšÁI)‡jødMar'¸Gèœq ¾ m¤ÉIäÉž¡T#CÙè¤y½î˜k-áyvëWwwóÓ7ôÇDóeâ+™ˆMF(²ˆ íçó¬â¦óížì6ê¾3»çÕÍÕßn{a+×I{æÊžòcçŠÝ^¹±ïD<Ü`°ˆiXâTñ+@LQ?5pDYž\jøÙ§f…ï&3îòfô³ŠàÑ á@•ñghƒÛ„l&­[3[«|ô̵mÞáåû/ŒF'ØÏ—1Ãz69ËcS¡ßD#““>—.¸Õ·c:4~,ØçX¾¦¥,jË”—øÀa±ºO9Ξ vx¢iÊ`4ø3£ÆûñÑ£j×äK¥¬LÐà’AÛnQÑUnSæQCC/cgSfûp{ìÒÈt+¡õêY×P&x³Û¹íq˜Y…M”Z9lÜqc4'2Ï¡bí5NÆ\Ð×æÑœ=H¢ Eè‚æ-s§*è|<¿’ =?êL˜H=úŠÃtêÖÿvS±®ÆÁÚìän'%´V¬"C·d"Ô¡OåA¾N¿ü]ÉáBC9Xf°ggplot2/man/0000755000175100001440000000000012114161113012410 5ustar hornikusersggplot2/man/scale_gradient2.Rd0000644000175100001440000000714512114160774015750 0ustar hornikusers\name{scale_colour_gradient2} \alias{scale_color_gradient2} \alias{scale_colour_gradient2} \alias{scale_fill_gradient2} \title{Diverging colour gradient} \usage{ scale_colour_gradient2(..., low = muted("red"), mid = "white", high = muted("blue"), midpoint = 0, space = "rgb", na.value = "grey50", guide = "colourbar") scale_fill_gradient2(..., low = muted("red"), mid = "white", high = muted("blue"), midpoint = 0, space = "rgb", na.value = "grey50", guide = "colourbar") scale_color_gradient2(..., low = muted("red"), mid = "white", high = muted("blue"), midpoint = 0, space = "rgb", na.value = "grey50", guide = "colourbar") } \arguments{ \item{midpoint}{The midpoint (in data value) of the diverging scale. Defaults to 0.} \item{guide}{Type of legend. Use \code{"colourbar"} for continuous colour bar, or \code{"legend"} for discrete colour legend.} \item{...}{Other arguments passed on to \code{\link{discrete_scale}} to control name, limits, breaks, labels and so forth.} \item{na.value}{Colour to use for missing values} \item{low}{colour for low end of gradient.} \item{mid}{colour for mid point} \item{high}{colour for high end of gradient.} \item{space}{colour space in which to calculate gradient. "Lab" usually best unless gradient goes through white.} } \description{ Diverging colour gradient } \examples{ \donttest{ dsub <- subset(diamonds, x > 5 & x < 6 & y > 5 & y < 6) dsub$diff <- with(dsub, sqrt(abs(x-y))* sign(x-y)) (d <- qplot(x, y, data=dsub, colour=diff)) d + scale_colour_gradient2() # Change scale name d + scale_colour_gradient2(expression(sqrt(abs(x - y)))) d + scale_colour_gradient2("Difference\\nbetween\\nwidth and\\nheight") # Change limits and colours d + scale_colour_gradient2(limits=c(-0.2, 0.2)) # Using "muted" colours makes for pleasant graphics # (and they have better perceptual properties too) library(scales) # for muted d + scale_colour_gradient2(low="red", high="blue") d + scale_colour_gradient2(low=muted("red"), high=muted("blue")) # Using the Lab colour space also improves perceptual properties # at the price of slightly slower operation d + scale_colour_gradient2(space="Lab") # About 5\% of males are red-green colour blind, so it's a good # idea to avoid that combination d + scale_colour_gradient2(high=muted("green")) # We can also make the middle stand out d + scale_colour_gradient2(mid=muted("green"), high="white", low="white") # or use a non zero mid point (d <- qplot(carat, price, data=diamonds, colour=price/carat)) d + scale_colour_gradient2(midpoint=mean(diamonds$price / diamonds$carat)) # Fill gradients work much the same way p <- qplot(letters[1:5], 1:5, fill= c(-3, 3, 5, 2, -2), geom="bar") p + scale_fill_gradient2("fill") # Note how positive and negative values of the same magnitude # have similar intensity } } \seealso{ Other colour scales: \code{\link{scale_color_brewer}}, \code{\link{scale_color_continuous}}, \code{\link{scale_color_discrete}}, \code{\link{scale_color_gradient}}, \code{\link{scale_color_gradientn}}, \code{\link{scale_color_grey}}, \code{\link{scale_color_hue}}, \code{\link{scale_colour_brewer}}, \code{\link{scale_colour_continuous}}, \code{\link{scale_colour_discrete}}, \code{\link{scale_colour_gradient}}, \code{\link{scale_colour_gradientn}}, \code{\link{scale_colour_grey}}, \code{\link{scale_colour_hue}}, \code{\link{scale_fill_brewer}}, \code{\link{scale_fill_continuous}}, \code{\link{scale_fill_discrete}}, \code{\link{scale_fill_gradient}}, \code{\link{scale_fill_gradientn}}, \code{\link{scale_fill_grey}}, \code{\link{scale_fill_hue}} } ggplot2/man/is.theme.Rd0000644000175100001440000000031012114160774014421 0ustar hornikusers\name{is.theme} \alias{is.theme} \title{Reports whether x is a theme object} \usage{ is.theme(x) } \arguments{ \item{x}{An object to test} } \description{ Reports whether x is a theme object } ggplot2/man/ggstructure.Rd0000644000175100001440000000050512114160774015271 0ustar hornikusers\name{ggstructure} \alias{ggstructure} \title{A plot which aims to reveal gross structural anomalies in the data.} \usage{ ggstructure(data) } \arguments{ \item{data}{data set to plot} } \description{ A plot which aims to reveal gross structural anomalies in the data. } \examples{ \dontrun{ ggstructure(mtcars) } } ggplot2/man/interleave.Rd0000644000175100001440000000043112114160774015047 0ustar hornikusers\name{interleave} \alias{interleave} \title{Interleave (or zip) multiple vectors into a single vector.} \usage{ interleave(...) } \arguments{ \item{...}{vectors to interleave} } \description{ Interleave (or zip) multiple vectors into a single vector. } \keyword{internal} ggplot2/man/benchplot.Rd0000644000175100001440000000070612114160774014674 0ustar hornikusers\name{benchplot} \alias{benchplot} \title{Benchmark plot creation time. Broken down into construct, build, render and draw times.} \usage{ benchplot(x) } \arguments{ \item{x}{code to create ggplot2 plot} } \description{ Benchmark plot creation time. Broken down into construct, build, render and draw times. } \examples{ benchplot(qplot(mpg, wt, data = mtcars)) benchplot(qplot(mpg, wt, data = mtcars) + facet_grid(.~ cyl)) } \keyword{internal} ggplot2/man/ggplotGrob.Rd0000644000175100001440000000032212114160774015016 0ustar hornikusers\name{ggplotGrob} \alias{ggplotGrob} \title{Generate a ggplot2 plot grob.} \usage{ ggplotGrob(x) } \arguments{ \item{x}{ggplot2 object} } \description{ Generate a ggplot2 plot grob. } \keyword{internal} ggplot2/man/geom_boxplot.Rd0000644000175100001440000001131012114160774015405 0ustar hornikusers\name{geom_boxplot} \alias{geom_boxplot} \title{Box and whiskers plot.} \usage{ geom_boxplot(mapping = NULL, data = NULL, stat = "boxplot", position = "dodge", outlier.colour = "black", outlier.shape = 16, outlier.size = 2, notch = FALSE, notchwidth = 0.5, ...) } \arguments{ \item{outlier.colour}{colour for outlying points} \item{outlier.shape}{shape of outlying points} \item{outlier.size}{size of outlying points} \item{notch}{if \code{FALSE} (default) make a standard box plot. If \code{TRUE}, make a notched box plot. Notches are used to compare groups; if the notches of two boxes do not overlap, this is strong evidence that the medians differ.} \item{notchwidth}{for a notched box plot, width of the notch relative to the body (default 0.5)} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ The upper and lower "hinges" correspond to the first and third quartiles (the 25th and 75th percentiles). This differs slightly from the method used by the \code{boxplot} function, and may be apparent with small samples. See \code{\link{boxplot.stats}} for for more information on how hinge positions are calculated for \code{boxplot}. } \details{ The upper whisker extends from the hinge to the highest value that is within 1.5 * IQR of the hinge, where IQR is the inter-quartile range, or distance between the first and third quartiles. The lower whisker extends from the hinge to the lowest value within 1.5 * IQR of the hinge. Data beyond the end of the whiskers are outliers and plotted as points (as specified by Tukey). In a notched box plot, the notches extend \code{1.58 * IQR / sqrt(n)}. This gives a roughly 95% confidence interval for comparing medians. See McGill et al. (1978) for more details. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "boxplot")} } \examples{ \donttest{ p <- ggplot(mtcars, aes(factor(cyl), mpg)) p + geom_boxplot() qplot(factor(cyl), mpg, data = mtcars, geom = "boxplot") p + geom_boxplot() + geom_jitter() p + geom_boxplot() + coord_flip() qplot(factor(cyl), mpg, data = mtcars, geom = "boxplot") + coord_flip() p + geom_boxplot(notch = TRUE) p + geom_boxplot(notch = TRUE, notchwidth = .3) p + geom_boxplot(outlier.colour = "green", outlier.size = 3) # Add aesthetic mappings # Note that boxplots are automatically dodged when any aesthetic is # a factor p + geom_boxplot(aes(fill = cyl)) p + geom_boxplot(aes(fill = factor(cyl))) p + geom_boxplot(aes(fill = factor(vs))) p + geom_boxplot(aes(fill = factor(am))) # Set aesthetics to fixed value p + geom_boxplot(fill = "grey80", colour = "#3366FF") qplot(factor(cyl), mpg, data = mtcars, geom = "boxplot", colour = I("#3366FF")) # Scales vs. coordinate transforms ------- # Scale transformations occur before the boxplot statistics are computed. # Coordinate transformations occur afterwards. Observe the effect on the # number of outliers. library(plyr) # to access round_any m <- ggplot(movies, aes(y = votes, x = rating, group = round_any(rating, 0.5))) m + geom_boxplot() m + geom_boxplot() + scale_y_log10() m + geom_boxplot() + coord_trans(y = "log10") m + geom_boxplot() + scale_y_log10() + coord_trans(y = "log10") # Boxplots with continuous x: # Use the group aesthetic to group observations in boxplots qplot(year, budget, data = movies, geom = "boxplot") qplot(year, budget, data = movies, geom = "boxplot", group = round_any(year, 10, floor)) # Using precomputed statistics # generate sample data abc <- adply(matrix(rnorm(100), ncol = 5), 2, quantile, c(0, .25, .5, .75, 1)) b <- ggplot(abc, aes(x = X1, ymin = `0\%`, lower = `25\%`, middle = `50\%`, upper = `75\%`, ymax = `100\%`)) b + geom_boxplot(stat = "identity") b + geom_boxplot(stat = "identity") + coord_flip() b + geom_boxplot(aes(fill = X1), stat = "identity") } } \references{ McGill, R., Tukey, J. W. and Larsen, W. A. (1978) Variations of box plots. The American Statistician 32, 12-16. } \seealso{ \code{\link{stat_quantile}} to view quantiles conditioned on a continuous variable, \code{\link{geom_jitter}} for another way to look at conditional distributions" } ggplot2/man/aes_string.Rd0000644000175100001440000000126312114160774015053 0ustar hornikusers\name{aes_string} \alias{aes_string} \title{Generate aesthetic mappings from a string} \usage{ aes_string(...) } \arguments{ \item{...}{List of name value pairs} } \description{ Aesthetic mappings describe how variables in the data are mapped to visual properties (aesthetics) of geoms. Compared to aes this function operates on strings rather than expressions. } \details{ \code{aes_string} is particularly useful when writing functions that create plots because you can use strings to define the aesthetic mappings, rather than having to mess around with expressions. } \examples{ aes_string(x = "mpg", y = "wt") aes(x = mpg, y = wt) } \seealso{ \code{\link{aes}} } ggplot2/man/geom_point.Rd0000644000175100001440000001076712114160774015066 0ustar hornikusers\name{geom_point} \alias{geom_point} \title{Points, as for a scatterplot} \usage{ geom_point(mapping = NULL, data = NULL, stat = "identity", position = "identity", na.rm = FALSE, ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{na.rm}{If \code{FALSE} (the default), removes missing values with a warning. If \code{TRUE} silently removes missing values.} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ The point geom is used to create scatterplots. } \details{ The scatterplot is useful for displaying the relationship between two continuous variables, although it can also be used with one continuous and one categorical variable, or two categorical variables. See \code{\link{geom_jitter}} for possibilities. The \emph{bubblechart} is a scatterplot with a third variable mapped to the size of points. There are no special names for scatterplots where another variable is mapped to point shape or colour, however. The biggest potential problem with a scatterplot is overplotting: whenever you have more than a few points, points may be plotted on top of one another. This can severely distort the visual appearance of the plot. There is no one solution to this problem, but there are some techniques that can help. You can add additional information with \code{\link{stat_smooth}}, \code{\link{stat_quantile}} or \code{\link{stat_density2d}}. If you have few unique x values, \code{\link{geom_boxplot}} may also be useful. Alternatively, you can summarise the number of points at each location and display that in some way, using \code{\link{stat_sum}}. Another technique is to use transparent points, \code{geom_point(alpha = 0.05)}. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "point")} } \examples{ \donttest{ p <- ggplot(mtcars, aes(wt, mpg)) p + geom_point() # Add aesthetic mappings p + geom_point(aes(colour = qsec)) p + geom_point(aes(alpha = qsec)) p + geom_point(aes(colour = factor(cyl))) p + geom_point(aes(shape = factor(cyl))) p + geom_point(aes(size = qsec)) # Change scales p + geom_point(aes(colour = cyl)) + scale_colour_gradient(low = "blue") p + geom_point(aes(size = qsec)) + scale_area() p + geom_point(aes(shape = factor(cyl))) + scale_shape(solid = FALSE) # Set aesthetics to fixed value p + geom_point(colour = "red", size = 3) qplot(wt, mpg, data = mtcars, colour = I("red"), size = I(3)) # Varying alpha is useful for large datasets d <- ggplot(diamonds, aes(carat, price)) d + geom_point(alpha = 1/10) d + geom_point(alpha = 1/20) d + geom_point(alpha = 1/100) # You can create interesting shapes by layering multiple points of # different sizes p <- ggplot(mtcars, aes(mpg, wt)) p + geom_point(colour="grey50", size = 4) + geom_point(aes(colour = cyl)) p + aes(shape = factor(cyl)) + geom_point(aes(colour = factor(cyl)), size = 4) + geom_point(colour="grey90", size = 1.5) p + geom_point(colour="black", size = 4.5) + geom_point(colour="pink", size = 4) + geom_point(aes(shape = factor(cyl))) # These extra layers don't usually appear in the legend, but we can # force their inclusion p + geom_point(colour="black", size = 4.5, show_guide = TRUE) + geom_point(colour="pink", size = 4, show_guide = TRUE) + geom_point(aes(shape = factor(cyl))) # Transparent points: qplot(mpg, wt, data = mtcars, size = I(5), alpha = I(0.2)) # geom_point warns when missing values have been dropped from the data set # and not plotted, you can turn this off by setting na.rm = TRUE mtcars2 <- transform(mtcars, mpg = ifelse(runif(32) < 0.2, NA, mpg)) qplot(wt, mpg, data = mtcars2) qplot(wt, mpg, data = mtcars2, na.rm = TRUE) # Use qplot instead qplot(wt, mpg, data = mtcars) qplot(wt, mpg, data = mtcars, colour = factor(cyl)) qplot(wt, mpg, data = mtcars, colour = I("red")) } } \seealso{ \code{\link{scale_size}} to see scale area of points, instead of radius, \code{\link{geom_jitter}} to jitter points to reduce (mild) overplotting } ggplot2/man/aes.Rd0000644000175100001440000000154712114160774013472 0ustar hornikusers\name{aes} \alias{aes} \title{Generate aesthetic mappings that describe how variables in the data are mapped to visual properties (aesthetics) of geoms.} \usage{ aes(x, y, ...) } \arguments{ \item{x}{x value} \item{y}{y value} \item{...}{List of name value pairs giving aesthetics to map.} } \description{ \code{aes} creates a list of unevaluated expressions. This function also performs partial name matching, converts color to colour, and old style R names to ggplot names (eg. pch to shape, cex to size) } \examples{ aes(x = mpg, y = wt) aes(x = mpg ^ 2, y = wt / cyl) } \seealso{ \code{\link{aes_string}} for passing quoted variable names. \code{\link{aes_colour_fill_alpha}}, \code{\link{aes_group_order}}, \code{\link{aes_linetype_size_shape}} and \code{\link{aes_position}} for more specific examples with different aesthetics. } ggplot2/man/stat_ecdf.Rd0000644000175100001440000000246412114160774014655 0ustar hornikusers\name{stat_ecdf} \alias{stat_ecdf} \title{Empirical Cumulative Density Function} \usage{ stat_ecdf(mapping = NULL, data = NULL, geom = "step", position = "identity", n = NULL, ...) } \arguments{ \item{n}{if NULL, do not interpolate. If not NULL, this is the number of points to interpolate with.} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{geom}{The geometric object to use display the data} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \value{ a data.frame with additional columns: \item{x}{x in data} \item{y}{cumulative density corresponding x} } \description{ Empirical Cumulative Density Function } \examples{ \donttest{ qplot(rnorm(1000), stat = "ecdf", geom = "step") df <- data.frame(x = c(rnorm(100, 0, 3), rnorm(100, 0, 10)), g = gl(2, 100)) ggplot(df, aes(x, colour = g)) + stat_ecdf() } } ggplot2/man/limits.Rd0000644000175100001440000000076612114160774014225 0ustar hornikusers\name{limits} \alias{limits} \title{Generate correct scale type for specified limits} \usage{ limits(lims, var) } \arguments{ \item{limts}{vector of limits} \item{var}{name of variable} } \description{ Generate correct scale type for specified limits } \examples{ ggplot2:::limits(c(1, 5), "x") ggplot2:::limits(c(5, 1), "x") ggplot2:::limits(c("A", "b", "c"), "x") ggplot2:::limits(c("A", "b", "c"), "fill") ggplot2:::limits(as.Date(c("2008-01-01", "2009-01-01")), "x") } \keyword{internal} ggplot2/man/ggfluctuation.Rd0000644000175100001440000000223412114160774015567 0ustar hornikusers\name{ggfluctuation} \alias{ggfluctuation} \title{Create a fluctuation plot.} \usage{ ggfluctuation(table, type = "size", floor = 0, ceiling = max(table$freq, na.rm = TRUE)) } \arguments{ \item{table}{a table of values, or a data frame with three columns, the last column being frequency} \item{type}{"size", or "colour" to create traditional heatmap} \item{floor}{don't display cells smaller than this value} \item{ceiling}{round cells to at most this value} \item{na.rm}{If \code{TRUE}, silently remove missing values.} } \description{ A fluctutation diagram is a graphical representation of a contingency table. This function only supports 2D contingency tables at present but extension to higher dimensions should be relatively straightforward. } \details{ With the default size fluctuation diagram, area is proportional to the count (length of sides proportional to sqrt(count)). } \examples{ \dontrun{ ggfluctuation(table(movies$Action, movies$Comedy)) ggfluctuation(table(movies$Action, movies$mpaa)) ggfluctuation(table(movies$Action, movies$Comedy), type="colour") ggfluctuation(table(warpbreaks$breaks, warpbreaks$tension)) } } ggplot2/man/stat_density2d.Rd0000644000175100001440000000515712114160774015663 0ustar hornikusers\name{stat_density2d} \alias{stat_density2d} \title{2d density estimation.} \usage{ stat_density2d(mapping = NULL, data = NULL, geom = "density2d", position = "identity", na.rm = FALSE, contour = TRUE, n = 100, ...) } \arguments{ \item{contour}{If \code{TRUE}, contour the results of the 2d density estimation} \item{n}{number of grid points in each direction} \item{...}{other arguments passed on to \code{\link{kde2d}}} \item{na.rm}{If \code{FALSE} (the default), removes missing values with a warning. If \code{TRUE} silently removes missing values.} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{geom}{The geometric object to use display the data} \item{position}{The position adjustment to use for overlappling points on this layer} } \value{ A data frame in the same format as \code{\link{stat_contour}} } \description{ 2d density estimation. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "density2d")} } \examples{ \donttest{ library("MASS") data(geyser, "MASS") m <- ggplot(geyser, aes(x = duration, y = waiting)) + geom_point() + xlim(0.5, 6) + ylim(40, 110) m + geom_density2d() dens <- kde2d(geyser$duration, geyser$waiting, n = 50, lims = c(0.5, 6, 40, 110)) densdf <- data.frame(expand.grid(duration = dens$x, waiting = dens$y), z = as.vector(dens$z)) m + geom_contour(aes(z=z), data=densdf) m + geom_density2d() + scale_y_log10() m + geom_density2d() + coord_trans(y="log10") m + stat_density2d(aes(fill = ..level..), geom="polygon") qplot(duration, waiting, data=geyser, geom=c("point","density2d")) + xlim(0.5, 6) + ylim(40, 110) # If you map an aesthetic to a categorical variable, you will get a # set of contours for each value of that variable set.seed(4393) dsmall <- diamonds[sample(nrow(diamonds), 1000), ] qplot(x, y, data = dsmall, geom = "density2d", colour = cut) qplot(x, y, data = dsmall, geom = "density2d", linetype = cut) qplot(carat, price, data = dsmall, geom = "density2d", colour = cut) d <- ggplot(dsmall, aes(carat, price)) + xlim(1,3) d + geom_point() + geom_density2d() # If we turn contouring off, we can use use geoms like tiles: d + stat_density2d(geom="tile", aes(fill = ..density..), contour = FALSE) last_plot() + scale_fill_gradient(limits=c(1e-5,8e-4)) # Or points: d + stat_density2d(geom="point", aes(size = ..density..), contour = FALSE) } } ggplot2/man/autoplot.Rd0000644000175100001440000000111712114160774014562 0ustar hornikusers\name{autoplot} \alias{autoplot} \title{Create a complete ggplot appropriate to a particular data type} \usage{ autoplot(object, ...) } \arguments{ \item{object}{an object, whose class will determine the behaviour of autoplot} \item{...}{other arguments passed to specific methods} } \value{ a ggplot object } \description{ \code{autoplot} uses ggplot2 to draw a particular plot for an object of a particular class in a single command. This defines the S3 generic that other classes and packages can extend. } \seealso{ \code{\link{ggplot}} and \code{\link{fortify}} } ggplot2/man/scale_area.Rd0000644000175100001440000000122412114161113014755 0ustar hornikusers\name{scale_area} \alias{scale_area} \title{Scale area instead of radius (for size).} \usage{ scale_area(..., range = c(1, 6)) } \arguments{ \item{...}{Other arguments passed on to \code{\link{continuous_scale}} to control name, limits, breaks, labels and so forth.} \item{range}{Range of output sizes. Should be greater than 0.} } \description{ \code{\link{scale_area}} is deprecated and will be removed in a future version of ggplot2. Use \code{\link{scale_size_area}} instead. Note that the default behavir of \code{\link{scale_size_area}} is slightly different: by default, it makes the area proportional to the numeric value. } ggplot2/man/element_line.Rd0000644000175100001440000000060112114160774015350 0ustar hornikusers\name{element_line} \alias{element_line} \title{Theme element: line.} \usage{ element_line(colour = NULL, size = NULL, linetype = NULL, lineend = NULL, color = NULL) } \arguments{ \item{colour}{line colour} \item{size}{line size} \item{linetype}{line type} \item{lineend}{line end} \item{color}{an alias for \code{colour}} } \description{ Theme element: line. } ggplot2/man/label_value.Rd0000644000175100001440000000114212114160774015164 0ustar hornikusers\name{label_value} \alias{label_value} \title{Label facets with their value. This is the default labelling scheme.} \usage{ label_value(variable, value) } \arguments{ \item{variable}{variable name passed in by facetter} \item{value}{variable value passed in by facetter} } \description{ Label facets with their value. This is the default labelling scheme. } \examples{ p <- qplot(wt, mpg, data = mtcars) p + facet_grid(. ~ cyl) p + facet_grid(. ~ cyl, labeller = label_value) } \seealso{ Other facet labellers: \code{\link{label_both}}, \code{\link{label_bquote}}, \code{\link{label_parsed}} } ggplot2/man/fortify-multcomp.Rd0000644000175100001440000000235512114160774016240 0ustar hornikusers\name{fortify-multcomp} \alias{fortify-multcomp} \alias{fortify.cld} \alias{fortify.confint.glht} \alias{fortify.glht} \alias{fortify.summary.glht} \title{Fortify methods for objects produced by \pkg{multcomp}} \usage{ \method{fortify}{glht} (model, data, ...) \method{fortify}{confint.glht} (model, data, ...) \method{fortify}{summary.glht} (model, data, ...) \method{fortify}{cld} (model, data, ...) } \arguments{ \item{model}{an object of class \code{glht}, \code{confint.glht}, \code{summary.glht} or \code{\link[multcomp]{cld}}} \item{data,...}{other arguments to the generic ignored in this method.} } \description{ Fortify methods for objects produced by \pkg{multcomp} } \examples{ if (require("multcomp")) { amod <- aov(breaks ~ wool + tension, data = warpbreaks) wht <- glht(amod, linfct = mcp(tension = "Tukey")) fortify(wht) ggplot(wht, aes(lhs, estimate)) + geom_point() CI <- confint(wht) fortify(CI) ggplot(CI, aes(lhs, estimate, ymin = lwr, ymax = upr)) + geom_pointrange() fortify(summary(wht)) ggplot(mapping = aes(lhs, estimate)) + geom_linerange(aes(ymin = lwr, ymax = upr), data = CI) + geom_point(aes(size = p), data = summary(wht)) + scale_size(trans = "reverse") cld <- cld(wht) fortify(cld) } } ggplot2/man/print.ggplot.Rd0000644000175100001440000000100612114160774015337 0ustar hornikusers\name{print.ggplot} \alias{plot.ggplot} \alias{print.ggplot} \title{Draw plot on current graphics device.} \usage{ \method{print}{ggplot} (x, newpage = is.null(vp), vp = NULL, ...) \method{plot}{ggplot} (x, newpage = is.null(vp), vp = NULL, ...) } \arguments{ \item{x}{plot to display} \item{newpage}{draw new (empty) page first?} \item{vp}{viewport to draw plot in} \item{...}{other arguments not used by this method} } \description{ Draw plot on current graphics device. } \keyword{hplot} ggplot2/man/is.facet.Rd0000644000175100001440000000034412114160774014410 0ustar hornikusers\name{is.facet} \alias{is.facet} \title{Is this object a facetting specification?} \usage{ is.facet(x) } \arguments{ \item{x}{object to test} } \description{ Is this object a facetting specification? } \keyword{internal} ggplot2/man/geom_line.Rd0000644000175100001440000000560412114160774014656 0ustar hornikusers\name{geom_line} \alias{geom_line} \title{Connect observations, ordered by x value.} \usage{ geom_line(mapping = NULL, data = NULL, stat = "identity", position = "identity", ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ Connect observations, ordered by x value. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "line")} } \examples{ # Summarise number of movie ratings by year of movie mry <- do.call(rbind, by(movies, round(movies$rating), function(df) { nums <- tapply(df$length, df$year, length) data.frame(rating=round(df$rating[1]), year = as.numeric(names(nums)), number=as.vector(nums)) })) p <- ggplot(mry, aes(x=year, y=number, group=rating)) p + geom_line() # Add aesthetic mappings p + geom_line(aes(size = rating)) p + geom_line(aes(colour = rating)) # Change scale p + geom_line(aes(colour = rating)) + scale_colour_gradient(low="red") p + geom_line(aes(size = rating)) + scale_size(range = c(0.1, 3)) # Set aesthetics to fixed value p + geom_line(colour = "red", size = 1) # Use qplot instead qplot(year, number, data=mry, group=rating, geom="line") # Using a time series qplot(date, pop, data=economics, geom="line") qplot(date, pop, data=economics, geom="line", log="y") qplot(date, pop, data=subset(economics, date > as.Date("2006-1-1")), geom="line") qplot(date, pop, data=economics, size=unemploy/pop, geom="line") # Use the arrow parameter to add an arrow to the line # See ?grid::arrow for more details c <- ggplot(economics, aes(x = date, y = pop)) # Arrow defaults to "last" library(grid) c + geom_line(arrow = arrow()) c + geom_line(arrow = arrow(angle = 15, ends = "both", type = "closed")) # See scale_date for examples of plotting multiple times series on # a single graph # A simple pcp example y2005 <- runif(300, 20, 120) y2010 <- y2005 * runif(300, -1.05, 1.5) group <- rep(LETTERS[1:3], each = 100) df <- data.frame(id = seq_along(group), group, y2005, y2010) library(reshape2) # for melt dfm <- melt(df, id.var = c("id", "group")) ggplot(dfm, aes(variable, value, group = id, colour = group)) + geom_path(alpha = 0.5) } \seealso{ \code{\link{geom_path}}: connect observations in data order, \code{\link{geom_segment}}: draw line segments, \code{\link{geom_ribbon}}: fill between line and x-axis } ggplot2/man/calc_element.Rd0000644000175100001440000000150512114160774015327 0ustar hornikusers\name{calc_element} \alias{calc_element} \title{Calculate the element properties, by inheriting properties from its parents} \usage{ calc_element(element, theme, verbose = FALSE) } \arguments{ \item{element}{The name of the theme element to calculate} \item{theme}{A theme object (like theme_grey())} \item{verbose}{If TRUE, print out which elements this one inherits from} } \description{ Calculate the element properties, by inheriting properties from its parents } \examples{ t <- theme_grey() calc_element('text', t) # Compare the "raw" element definition to the element with calculated inheritance t$axis.text.x calc_element('axis.text.x', t, verbose = TRUE) # This reports that axis.text.x inherits from axis.text, # which inherits from text. You can view each of them with: t$axis.text.x t$axis.text t$text } ggplot2/man/position_identity.Rd0000644000175100001440000000102512114160774016466 0ustar hornikusers\name{position_identity} \alias{position_identity} \title{Don't adjust position} \usage{ position_identity(width = NULL, height = NULL) } \arguments{ \item{width}{Manually specify width (does not affect all position adjustments)} \item{height}{Manually specify height (does not affect all position adjustments)} } \description{ Don't adjust position } \seealso{ Other position adjustments: \code{\link{position_dodge}}, \code{\link{position_fill}}, \code{\link{position_jitter}}, \code{\link{position_stack}} } ggplot2/man/opts.Rd0000644000175100001440000000043012114160774013675 0ustar hornikusers\name{opts} \alias{opts} \title{Build a theme (or partial theme) from theme elements} \usage{ opts(...) } \arguments{ \item{...}{Arguments to be passed on to the \code{theme} function.} } \description{ \code{opts} is deprecated. See the \code{\link{theme}} function. } ggplot2/man/stat_smooth.Rd0000644000175100001440000001136312114160774015263 0ustar hornikusers\name{stat_smooth} \alias{stat_smooth} \title{Add a smoother.} \usage{ stat_smooth(mapping = NULL, data = NULL, geom = "smooth", position = "identity", method = "auto", formula = y ~ x, se = TRUE, n = 80, fullrange = FALSE, level = 0.95, na.rm = FALSE, ...) } \arguments{ \item{method}{smoothing method (function) to use, eg. lm, glm, gam, loess, rlm. For datasets with n < 1000 default is \code{\link{loess}}. For datasets with 1000 or more observations defaults to gam, see \code{\link[mgcv]{gam}} for more details.} \item{formula}{formula to use in smoothing function, eg. \code{y ~ x}, \code{y ~ poly(x, 2)}, \code{y ~ log(x)}} \item{se}{display confidence interval around smooth? (TRUE by default, see level to control} \item{fullrange}{should the fit span the full range of the plot, or just the data} \item{level}{level of confidence interval to use (0.95 by default)} \item{n}{number of points to evaluate smoother at} \item{na.rm}{If \code{FALSE} (the default), removes missing values with a warning. If \code{TRUE} silently removes missing values.} \item{...}{other arguments are passed to smoothing function} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{geom}{The geometric object to use display the data} \item{position}{The position adjustment to use for overlappling points on this layer} } \value{ a data.frame with additional columns \item{y}{predicted value} \item{ymin}{lower pointwise confidence interval around the mean} \item{ymax}{upper pointwise confidence interval around the mean} \item{se}{standard error} } \description{ Aids the eye in seeing patterns in the presence of overplotting. } \details{ Calculation is performed by the (currently undocumented) \code{predictdf} generic function and its methods. For most methods the confidence bounds are computed using the \code{\link{predict}} method - the exceptions are \code{loess} which uses a t-based approximation, and for \code{glm} where the normal confidence interval is constructed on the link scale, and then back-transformed to the response scale. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "smooth")} } \examples{ \donttest{ c <- ggplot(mtcars, aes(qsec, wt)) c + stat_smooth() c + stat_smooth() + geom_point() # Adjust parameters c + stat_smooth(se = FALSE) + geom_point() c + stat_smooth(span = 0.9) + geom_point() c + stat_smooth(level = 0.99) + geom_point() c + stat_smooth(method = "lm") + geom_point() library(splines) library(MASS) c + stat_smooth(method = "lm", formula = y ~ ns(x,3)) + geom_point() c + stat_smooth(method = rlm, formula= y ~ ns(x,3)) + geom_point() # The default confidence band uses a transparent colour. # This currently only works on a limited number of graphics devices # (including Quartz, PDF, and Cairo) so you may need to set the # fill colour to a opaque colour, as shown below c + stat_smooth(fill = "grey50", size = 2, alpha = 1) c + stat_smooth(fill = "blue", size = 2, alpha = 1) # The colour of the line can be controlled with the colour aesthetic c + stat_smooth(fill="blue", colour="darkblue", size=2) c + stat_smooth(fill="blue", colour="darkblue", size=2, alpha = 0.2) c + geom_point() + stat_smooth(fill="blue", colour="darkblue", size=2, alpha = 0.2) # Smoothers for subsets c <- ggplot(mtcars, aes(y=wt, x=mpg)) + facet_grid(. ~ cyl) c + stat_smooth(method=lm) + geom_point() c + stat_smooth(method=lm, fullrange = TRUE) + geom_point() # Geoms and stats are automatically split by aesthetics that are factors c <- ggplot(mtcars, aes(y=wt, x=mpg, colour=factor(cyl))) c + stat_smooth(method=lm) + geom_point() c + stat_smooth(method=lm, aes(fill = factor(cyl))) + geom_point() c + stat_smooth(method=lm, fullrange=TRUE, alpha = 0.1) + geom_point() # Use qplot instead qplot(qsec, wt, data=mtcars, geom=c("smooth", "point")) # Example with logistic regression data("kyphosis", package="rpart") qplot(Age, Kyphosis, data=kyphosis) qplot(Age, data=kyphosis, facets = . ~ Kyphosis, binwidth = 10) qplot(Age, Kyphosis, data=kyphosis, position="jitter") qplot(Age, Kyphosis, data=kyphosis, position=position_jitter(height=0.1)) qplot(Age, as.numeric(Kyphosis) - 1, data = kyphosis) + stat_smooth(method="glm", family="binomial") qplot(Age, as.numeric(Kyphosis) - 1, data=kyphosis) + stat_smooth(method="glm", family="binomial", formula = y ~ ns(x, 2)) } } \seealso{ \code{\link{lm}} for linear smooths, \code{\link{glm}} for generalised linear smooths, \code{\link{loess}} for local smooths } ggplot2/man/scale_gradient.Rd0000644000175100001440000001040112114160774015653 0ustar hornikusers\name{scale_colour_gradient} \alias{scale_color_continuous} \alias{scale_color_gradient} \alias{scale_colour_continuous} \alias{scale_colour_gradient} \alias{scale_fill_continuous} \alias{scale_fill_gradient} \title{Smooth gradient between two colours} \usage{ scale_colour_gradient(..., low = "#132B43", high = "#56B1F7", space = "Lab", na.value = "grey50", guide = "colourbar") scale_fill_gradient(..., low = "#132B43", high = "#56B1F7", space = "Lab", na.value = "grey50", guide = "colourbar") scale_colour_continuous(..., low = "#132B43", high = "#56B1F7", space = "Lab", na.value = "grey50", guide = "colourbar") scale_fill_continuous(..., low = "#132B43", high = "#56B1F7", space = "Lab", na.value = "grey50", guide = "colourbar") scale_color_continuous(..., low = "#132B43", high = "#56B1F7", space = "Lab", na.value = "grey50", guide = "colourbar") scale_color_gradient(..., low = "#132B43", high = "#56B1F7", space = "Lab", na.value = "grey50", guide = "colourbar") } \arguments{ \item{guide}{Type of legend. Use \code{"colourbar"} for continuous colour bar, or \code{"legend"} for discrete colour legend.} \item{...}{Other arguments passed on to \code{\link{discrete_scale}} to control name, limits, breaks, labels and so forth.} \item{na.value}{Colour to use for missing values} \item{low}{colour for low end of gradient.} \item{high}{colour for high end of gradient.} \item{space}{colour space in which to calculate gradient. "Lab" usually best unless gradient goes through white.} } \description{ Default colours are generated with \pkg{munsell} and \code{mnsl(c("2.5PB 2/4", "2.5PB 7/10")}. Generally, for continuous colour scales you want to keep hue constant, but vary chroma and luminance. The \pkg{munsell} package makes this easy to do using the Munsell colour system. } \examples{ \donttest{ # It's hard to see, but look for the bright yellow dot # in the bottom right hand corner dsub <- subset(diamonds, x > 5 & x < 6 & y > 5 & y < 6) (d <- qplot(x, y, data=dsub, colour=z)) # That one point throws our entire scale off. We could # remove it, or manually tweak the limits of the scale # Tweak scale limits. Any points outside these limits will not be # plotted, and will not affect the calculation of statistics, etc d + scale_colour_gradient(limits=c(3, 10)) d + scale_colour_gradient(limits=c(3, 4)) # Setting the limits manually is also useful when producing # multiple plots that need to be comparable # Alternatively we could try transforming the scale: d + scale_colour_gradient(trans = "log") d + scale_colour_gradient(trans = "sqrt") # Other more trivial manipulations, including changing the name # of the scale and the colours. d + scale_colour_gradient("Depth") d + scale_colour_gradient(expression(Depth[mm])) d + scale_colour_gradient(limits=c(3, 4), low="red") d + scale_colour_gradient(limits=c(3, 4), low="red", high="white") # Much slower d + scale_colour_gradient(limits=c(3, 4), low="red", high="white", space="Lab") d + scale_colour_gradient(limits=c(3, 4), space="Lab") # scale_fill_continuous works similarly, but for fill colours (h <- qplot(x - y, data=dsub, geom="histogram", binwidth=0.01, fill=..count..)) h + scale_fill_continuous(low="black", high="pink", limits=c(0,3100)) # Colour of missing values is controlled with na.value: miss <- sample(c(NA, 1:5), nrow(mtcars), rep = TRUE) qplot(mpg, wt, data = mtcars, colour = miss) qplot(mpg, wt, data = mtcars, colour = miss) + scale_colour_gradient(na.value = "black") } } \seealso{ \code{\link[scales]{seq_gradient_pal}} for details on underlying palette Other colour scales: \code{\link{scale_color_brewer}}, \code{\link{scale_color_discrete}}, \code{\link{scale_color_gradient2}}, \code{\link{scale_color_gradientn}}, \code{\link{scale_color_grey}}, \code{\link{scale_color_hue}}, \code{\link{scale_colour_brewer}}, \code{\link{scale_colour_discrete}}, \code{\link{scale_colour_gradient2}}, \code{\link{scale_colour_gradientn}}, \code{\link{scale_colour_grey}}, \code{\link{scale_colour_hue}}, \code{\link{scale_fill_brewer}}, \code{\link{scale_fill_discrete}}, \code{\link{scale_fill_gradient2}}, \code{\link{scale_fill_gradientn}}, \code{\link{scale_fill_grey}}, \code{\link{scale_fill_hue}} } ggplot2/man/stat_summary2d.Rd0000644000175100001440000000335412114160774015676 0ustar hornikusers\name{stat_summary2d} \alias{stat_summary2d} \title{Apply funciton for 2D rectangular bins.} \usage{ stat_summary2d(mapping = NULL, data = NULL, geom = NULL, position = "identity", bins = 30, drop = TRUE, fun = mean, ...) } \arguments{ \item{bins}{see \code{\link{stat_bin2d}}} \item{drop}{drop if the output of \code{fun} is \code{NA}.} \item{fun}{function for summary.} \item{...}{parameters passed to \code{fun}} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{geom}{The geometric object to use display the data} \item{position}{The position adjustment to use for overlappling points on this layer} } \description{ Apply function for 2D rectangular bins. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "summary2d")} \code{stat_summary2d} is 2D version of \code{\link{stat_summary}}. The data are devided by \code{x} and \code{y}. \code{z} in each cell is passed to arbitral summary function. \code{stat_summary2d} requires the following aesthetics: \itemize{ \item \code{x}: horizontal position \item \code{y}: vertical position \item \code{z}: value passed to the summary function } } \examples{ \donttest{ d <- ggplot(diamonds, aes(carat, depth, z = price)) d + stat_summary2d() # Specifying function d + stat_summary2d(fun = function(x) sum(x^2)) d + stat_summary2d(fun = var) } } \seealso{ \code{\link{stat_summary_hex}} for hexagonal summarization. \code{\link{stat_bin2d}} for the binning options. } ggplot2/man/guide_legend.Rd0000644000175100001440000001314412114160774015331 0ustar hornikusers\name{guide_legend} \alias{guide_legend} \title{Legend guide.} \usage{ guide_legend(title = waiver(), title.position = NULL, title.theme = NULL, title.hjust = NULL, title.vjust = NULL, label = TRUE, label.position = NULL, label.theme = NULL, label.hjust = NULL, label.vjust = NULL, keywidth = NULL, keyheight = NULL, direction = NULL, default.unit = "line", override.aes = list(), nrow = NULL, ncol = NULL, byrow = FALSE, reverse = FALSE, order = 0, ...) } \arguments{ \item{title}{A character string or expression indicating a title of guide. If \code{NULL}, the title is not shown. By default (\code{\link{waiver}}), the name of the scale object or tha name specified in \code{\link{labs}} is used for the title.} \item{title.position}{A character string indicating the position of a title. One of "top" (default for a vertical guide), "bottom", "left" (default for a horizontal guide), or "right."} \item{title.theme}{A theme object for rendering the title text. Usually the object of \code{\link{element_text}} is expected. By default, the theme is specified by \code{legend.title} in \code{\link{theme}} or theme.} \item{title.hjust}{A number specifying horizontal justification of the title text.} \item{title.vjust}{A number specifying vertical justification of the title text.} \item{label}{logical. If \code{TRUE} then the labels are drawn. If \code{FALSE} then the labels are invisible.} \item{label.position}{A character string indicating the position of a label. One of "top", "bottom" (default for horizontal guide), "left", or "right" (default for vertical gudie).} \item{label.theme}{A theme object for rendering the label text. Usually the object of \code{\link{element_text}} is expected. By default, the theme is specified by \code{legend.text} in \code{\link{theme}} or theme.} \item{label.hjust}{A numeric specifying horizontal justification of the label text.} \item{label.vjust}{A numeric specifying vertical justification of the label text.} \item{keywidth}{A numeric or a unit object specifying the width of the legend key. Default value is \code{legend.key.width} or \code{legend.key.size} in \code{\link{theme}} or theme.} \item{keyheight}{A numeric or a unit object specifying the height of the legend key. Default value is \code{legend.key.height} or \code{legend.key.size} in \code{\link{theme}} or theme.} \item{direction}{A character string indicating the direction of the guide. One of "horizontal" or "vertical."} \item{default.unit}{A character string indicating unit for \code{keywidth} and \code{keyheight}.} \item{override.aes}{A list specifying aesthetic parameters of legend key. See details and examples.} \item{nrow}{The desired number of rows of legends.} \item{ncol}{The desired number of column of legends.} \item{byrow}{logical. If \code{FALSE} (the default) the legend-matrix is filled by columns, otherwise the legend-matrix is filled by rows.} \item{reverse}{logical. If \code{TRUE} the order of legends is reversed.} \item{order}{positive integer less that 99 that specify the order of this guide in the multiple guides. If 0 (default), the order is determined by a secret algorithm.} \item{...}{ignored.} } \value{ A guide object } \description{ Legend type guide shows key (i.e., geoms) mapped onto values. Legend guides for various scales are integrated if possible. } \details{ Guides can be specified in each scale or in \code{\link{guides}}. \code{guide="legend"} in scale is syntactic sugar for \code{guide=guide_legend()}. As for how to specify the guide for each scales in more detail, see \code{\link{guides}}. } \examples{ \donttest{ library(reshape2) # for melt df <- melt(outer(1:4, 1:4), varnames = c("X1", "X2")) p1 <- ggplot(df, aes(X1, X2)) + geom_tile(aes(fill = value)) p2 <- p1 + geom_point(aes(size = value)) # Basic form p1 + scale_fill_continuous(guide = "legend") p1 + scale_fill_continuous(guide = guide_legend()) # Guide title p1 + scale_fill_continuous(guide = guide_legend(title = "V")) # title text p1 + scale_fill_continuous(name = "V") # same p1 + scale_fill_continuous(guide = guide_legend(title = NULL)) # no title # Control styles # key size p1 + guides(fill = guide_legend(keywidth = 3, keyheight = 1)) # title position p1 + guides(fill = guide_legend(title = "LEFT", title.position = "left")) # title text styles via element_text p1 + guides(fill = guide_legend( title.theme = element_text(size=15, face="italic", colour = "red", angle = 45))) # label position p1 + guides(fill = guide_legend(label.position = "bottom")) # label styles p1 + scale_fill_continuous(breaks = c(5, 10, 15), labels = paste("long", c(5, 10, 15)), guide = guide_legend(direction = "horizontal", title.position = "top", label.position="bottom", label.hjust = 0.5, label.vjust = 0.5, label.theme = element_text(angle = 90))) # Set aesthetic of legend key # very low alpha value make it difficult to see legend key p3 <- qplot(carat, price, data = diamonds, colour = color, alpha = I(1/100)) p3 # override.aes overwrites the alpha p3 + guides(colour = guide_legend(override.aes = list(alpha = 1))) # multiple row/col legends p <- qplot(1:20, 1:20, colour = letters[1:20]) p + guides(col = guide_legend(nrow = 8)) p + guides(col = guide_legend(ncol = 8)) p + guides(col = guide_legend(nrow = 8, byrow = TRUE)) p + guides(col = guide_legend(ncol = 8, byrow = TRUE)) # reversed order legend p + guides(col = guide_legend(reverse = TRUE)) } } \seealso{ Other guides: \code{\link{guide_colorbar}}, \code{\link{guide_colourbar}}, \code{\link{guides}} } ggplot2/man/geom_pointrange.Rd0000644000175100001440000000272512114160774016076 0ustar hornikusers\name{geom_pointrange} \alias{geom_pointrange} \title{An interval represented by a vertical line, with a point in the middle.} \usage{ geom_pointrange(mapping = NULL, data = NULL, stat = "identity", position = "identity", ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ An interval represented by a vertical line, with a point in the middle. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "pointrange")} } \examples{ # See geom_linerange for examples } \seealso{ \code{\link{geom_errorbar}} for error bars, \code{\link{geom_linerange}} for range indicated by straight line, + examples, \code{\link{geom_crossbar}} for hollow bar with middle indicated by horizontal line, \code{\link{stat_summary}} for examples of these guys in use, \code{\link{geom_smooth}} for continuous analog" } ggplot2/man/stat_spoke.Rd0000644000175100001440000000262012114160774015067 0ustar hornikusers\name{stat_spoke} \alias{stat_spoke} \title{Convert angle and radius to xend and yend.} \usage{ stat_spoke(mapping = NULL, data = NULL, geom = "segment", position = "identity", ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{geom}{The geometric object to use display the data} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \value{ a data.frame with additional columns \item{xend}{x position of end of line segment} \item{yend}{x position of end of line segment} } \description{ Convert angle and radius to xend and yend. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "spoke")} } \examples{ df <- expand.grid(x = 1:10, y=1:10) df$angle <- runif(100, 0, 2*pi) df$speed <- runif(100, 0, 0.5) qplot(x, y, data=df) + stat_spoke(aes(angle=angle), radius = 0.5) last_plot() + scale_y_reverse() qplot(x, y, data=df) + stat_spoke(aes(angle=angle, radius=speed)) } ggplot2/man/diamonds.Rd0000644000175100001440000000163712114160774014520 0ustar hornikusers\docType{data} \name{diamonds} \alias{diamonds} \title{Prices of 50,000 round cut diamonds} \format{A data frame with 53940 rows and 10 variables} \description{ A dataset containing the prices and other attributes of almost 54,000 diamonds. The variables are as follows: } \details{ \itemize{ \item price. price in US dollars (\$326--\$18,823) \item carat. weight of the diamond (0.2--5.01) \item cut. quality of the cut (Fair, Good, Very Good, Premium, Ideal) \item colour. diamond colour, from J (worst) to D (best) \item clarity. a measurement of how clear the diamond is (I1 (worst), SI1, SI2, VS1, VS2, VVS1, VVS2, IF (best)) \item x. length in mm (0--10.74) \item y. width in mm (0--58.9) \item z. depth in mm (0--31.8) \item depth. total depth percentage = z / mean(x, y) = 2 * z / (x + y) (43--79) \item table. width of top of diamond relative to widest point (43--95) } } \keyword{datasets} ggplot2/man/absoluteGrob.Rd0000644000175100001440000000043412114160774015344 0ustar hornikusers\name{absoluteGrob} \alias{absoluteGrob} \title{Absolute grob} \usage{ absoluteGrob(grob, width = NULL, height = NULL, xmin = NULL, ymin = NULL, vp = NULL) } \description{ This grob has fixed dimesions and position. } \details{ It's still experimental } \keyword{internal} ggplot2/man/facet_wrap.Rd0000644000175100001440000000541112114160774015027 0ustar hornikusers\name{facet_wrap} \alias{facet_wrap} \title{Wrap a 1d ribbon of panels into 2d.} \usage{ facet_wrap(facets, nrow = NULL, ncol = NULL, scales = "fixed", shrink = TRUE, as.table = TRUE, drop = TRUE) } \arguments{ \item{nrow}{number of rows} \item{ncol}{number of columns} \item{facets}{formula specifying variables to facet by} \item{scales}{should scales be fixed (\code{"fixed"}, the default), free (\code{"free"}), or free in one dimension (\code{"free_x"}, \code{"free_y"})} \item{shrink}{If \code{TRUE}, will shrink scales to fit output of statistics, not raw data. If \code{FALSE}, will be range of raw data before statistical summary.} \item{as.table}{If \code{TRUE}, the default, the facets are laid out like a table with highest values at the bottom-right. If \code{FALSE}, the facets are laid out like a plot with the highest value at the top-right.} \item{drop}{If \code{TRUE}, the default, all factor levels not used in the data will automatically be dropped. If \code{FALSE}, all factor levels will be shown, regardless of whether or not they appear in the data.} } \description{ Wrap a 1d ribbon of panels into 2d. } \examples{ \donttest{ d <- ggplot(diamonds, aes(carat, price, fill = ..density..)) + xlim(0, 2) + stat_binhex(na.rm = TRUE) + theme(aspect.ratio = 1) d + facet_wrap(~ color) d + facet_wrap(~ color, ncol = 1) d + facet_wrap(~ color, ncol = 4) d + facet_wrap(~ color, nrow = 1) d + facet_wrap(~ color, nrow = 3) # Using multiple variables continues to wrap the long ribbon of # plots into 2d - the ribbon just gets longer # d + facet_wrap(~ color + cut) # To change plot order of facet wrap, # change the order of varible levels with factor() diamonds$color <- factor(diamonds$color, levels = c("G", "J", "D", "E", "I", "F", "H")) # Repeat first example with new order d <- ggplot(diamonds, aes(carat, price, fill = ..density..)) + xlim(0, 2) + stat_binhex(na.rm = TRUE) + theme(aspect.ratio = 1) d + facet_wrap(~ color) # You can choose to keep the scales constant across all panels # or vary the x scale, the y scale or both: p <- qplot(price, data = diamonds, geom = "histogram", binwidth = 1000) p + facet_wrap(~ color) p + facet_wrap(~ color, scales = "free_y") p <- qplot(displ, hwy, data = mpg) p + facet_wrap(~ cyl) p + facet_wrap(~ cyl, scales = "free") # Use as.table to to control direction of horizontal facets, TRUE by default p + facet_wrap(~ cyl, as.table = FALSE) # Add data that does not contain all levels of the faceting variables cyl6 <- subset(mpg, cyl == 6) p + geom_point(data = cyl6, colour = "red", size = 1) + facet_wrap(~ cyl) p + geom_point(data = transform(cyl6, cyl = 7), colour = "red") + facet_wrap(~ cyl) p + geom_point(data = transform(cyl6, cyl = NULL), colour = "red") + facet_wrap(~ cyl) } } ggplot2/man/facet_grid.Rd0000644000175100001440000001505012114160774015003 0ustar hornikusers\name{facet_grid} \alias{facet_grid} \title{Lay out panels in a grid.} \usage{ facet_grid(facets, margins = FALSE, scales = "fixed", space = "fixed", shrink = TRUE, labeller = "label_value", as.table = TRUE, drop = TRUE) } \arguments{ \item{facets}{a formula with the rows (of the tabular display) on the LHS and the columns (of the tabular display) on the RHS; the dot in the formula is used to indicate there should be no faceting on this dimension (either row or column). The formula can also be provided as a string instead of a classical formula object} \item{margins}{either a logical value or a character vector. Margins are additional facets which contain all the data for each of the possible values of the faceting variables. If \code{FALSE}, no additional facets are included (the default). If \code{TRUE}, margins are included for all faceting variables. If specified as a character vector, it is the names of variables for which margins are to be created.} \item{scales}{Are scales shared across all facets (the default, \code{"fixed"}), or do they vary across rows (\code{"free_x"}), columns (\code{"free_y"}), or both rows and columns (\code{"free"})} \item{space}{If \code{"fixed"}, the default, all panels have the same size. If \code{"free_y"} their height will be proportional to the length of the y scale; if \code{"free_x"} their width will be proportional to the length of the x scale; or if \code{"free"} both height and width will vary. This setting has no effect unless the appropriate scales also vary.} \item{labeller}{A function that takes two arguments (\code{variable} and \code{value}) and returns a string suitable for display in the facet strip. See \code{\link{label_value}} for more details and pointers to other options.} \item{as.table}{If \code{TRUE}, the default, the facets are laid out like a table with highest values at the bottom-right. If \code{FALSE}, the facets are laid out like a plot with the highest value at the top-right.} \item{shrink}{If \code{TRUE}, will shrink scales to fit output of statistics, not raw data. If \code{FALSE}, will be range of raw data before statistical summary.} \item{drop}{If \code{TRUE}, the default, all factor levels not used in the data will automatically be dropped. If \code{FALSE}, all factor levels will be shown, regardless of whether or not they appear in the data.} } \description{ Lay out panels in a grid. } \examples{ \donttest{ p <- ggplot(mtcars, aes(mpg, wt)) + geom_point() # With one variable p + facet_grid(. ~ cyl) p + facet_grid(cyl ~ .) # With two variables p + facet_grid(vs ~ am) p + facet_grid(am ~ vs) p + facet_grid(vs ~ am, margins=TRUE) # To change plot order of facet grid, # change the order of variable levels with factor() set.seed(6809) diamonds <- diamonds[sample(nrow(diamonds), 1000), ] diamonds$cut <- factor(diamonds$cut, levels = c("Ideal", "Very Good", "Fair", "Good", "Premium")) # Repeat first example with new order p <- ggplot(diamonds, aes(carat, ..density..)) + geom_histogram(binwidth = 1) p + facet_grid(. ~ cut) qplot(mpg, wt, data=mtcars, facets = . ~ vs + am) qplot(mpg, wt, data=mtcars, facets = vs + am ~ . ) # You can also use strings, which makes it a little easier # when writing functions that generate faceting specifications # p + facet_grid("cut ~ .") # see also ?plotmatrix for the scatterplot matrix # If there isn't any data for a given combination, that panel # will be empty qplot(mpg, wt, data=mtcars) + facet_grid(cyl ~ vs) p <- qplot(mpg, wt, data=mtcars, facets = vs ~ cyl) df <- data.frame(mpg = 22, wt = 3) p + geom_point(data = df, colour="red", size = 2) df2 <- data.frame(mpg = c(19, 22), wt = c(2,4), vs = c(0, 1)) p + geom_point(data = df2, colour="red", size = 2) df3 <- data.frame(mpg = c(19, 22), wt = c(2,4), vs = c(1, 1)) p + geom_point(data = df3, colour="red", size = 2) # You can also choose whether the scales should be constant # across all panels (the default), or whether they should be allowed # to vary mt <- ggplot(mtcars, aes(mpg, wt, colour = factor(cyl))) + geom_point() mt + facet_grid(. ~ cyl, scales = "free") # If scales and space are free, then the mapping between position # and values in the data will be the same across all panels mt + facet_grid(. ~ cyl, scales = "free", space = "free") mt + facet_grid(vs ~ am, scales = "free") mt + facet_grid(vs ~ am, scales = "free_x") mt + facet_grid(vs ~ am, scales = "free_y") mt + facet_grid(vs ~ am, scales = "free", space="free") mt + facet_grid(vs ~ am, scales = "free", space="free_x") mt + facet_grid(vs ~ am, scales = "free", space="free_y") # You may need to set your own breaks for consistent display: mt + facet_grid(. ~ cyl, scales = "free_x", space="free") + scale_x_continuous(breaks = seq(10, 36, by = 2)) # Adding scale limits override free scales: last_plot() + xlim(10, 15) # Free scales are particularly useful for categorical variables qplot(cty, model, data=mpg) + facet_grid(manufacturer ~ ., scales = "free", space = "free") # particularly when you reorder factor levels mpg <- within(mpg, { model <- reorder(model, cty) manufacturer <- reorder(manufacturer, cty) }) last_plot() \%+\% mpg + theme(strip.text.y = element_text()) # Use as.table to to control direction of horizontal facets, TRUE by default h <- ggplot(mtcars, aes(x = mpg, y = wt)) + geom_point() h + facet_grid(cyl ~ vs) h + facet_grid(cyl ~ vs, as.table = FALSE) # Use labeller to control facet labels, label_value is default h + facet_grid(cyl ~ vs, labeller = label_both) # Using label_parsed, see ?plotmath for more options mtcars$cyl2 <- factor(mtcars$cyl, labels = c("alpha", "beta", "sqrt(x, y)")) k <- qplot(wt, mpg, data = mtcars) k + facet_grid(. ~ cyl2) k + facet_grid(. ~ cyl2, labeller = label_parsed) # For label_bquote the label value is x. p <- qplot(wt, mpg, data = mtcars) p + facet_grid(. ~ vs, labeller = label_bquote(alpha ^ .(x))) p + facet_grid(. ~ vs, labeller = label_bquote(.(x) ^ .(x))) # Margins can be specified by logically (all yes or all no) or by specific # variables as (character) variable names mg <- ggplot(mtcars, aes(x = mpg, y = wt)) + geom_point() mg + facet_grid(vs + am ~ gear) mg + facet_grid(vs + am ~ gear, margins = TRUE) mg + facet_grid(vs + am ~ gear, margins = "am") # when margins are made over "vs", since the facets for "am" vary # within the values of "vs", the marginal facet for "vs" is also # a margin over "am". mg + facet_grid(vs + am ~ gear, margins = "vs") mg + facet_grid(vs + am ~ gear, margins = "gear") mg + facet_grid(vs + am ~ gear, margins = c("gear", "am")) } } ggplot2/man/stat_bin2d.Rd0000644000175100001440000000376712114160774014761 0ustar hornikusers\name{stat_bin2d} \alias{stat_bin2d} \title{Count number of observation in rectangular bins.} \usage{ stat_bin2d(mapping = NULL, data = NULL, geom = NULL, position = "identity", bins = 30, drop = TRUE, ...) } \arguments{ \item{bins}{numeric vector giving number of bins in both vertical and horizontal directions. Set to 30 by default.} \item{drop}{if \code{TRUE} removes all cells with 0 counts.} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{geom}{The geometric object to use display the data} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ Count number of observation in rectangular bins. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "bin2d")} } \examples{ \donttest{ d <- ggplot(diamonds, aes(carat, price)) d + stat_bin2d() d + geom_bin2d() # You can control the size of the bins by specifying the number of # bins in each direction: d + stat_bin2d(bins = 10) d + stat_bin2d(bins = 30) # Or by specifying the width of the bins d + stat_bin2d(binwidth = c(1, 1000)) d + stat_bin2d(binwidth = c(.1, 500)) # Or with a list of breaks x <- seq(min(diamonds$carat), max(diamonds$carat), by = 0.1) y <- seq(min(diamonds$price), max(diamonds$price), length = 50) d + stat_bin2d(breaks = list(x = x, y = y)) # With qplot qplot(x, y, data = diamonds, geom="bin2d", xlim = c(4, 10), ylim = c(4, 10)) qplot(x, y, data = diamonds, geom="bin2d", binwidth = c(0.1, 0.1), xlim = c(4, 10), ylim = c(4, 10)) } } \seealso{ \code{\link{stat_binhex}} for hexagonal binning } ggplot2/man/coord_cartesian.Rd0000644000175100001440000000331612114160774016055 0ustar hornikusers\name{coord_cartesian} \alias{coord_cartesian} \title{Cartesian coordinates.} \usage{ coord_cartesian(xlim = NULL, ylim = NULL, wise = NULL) } \arguments{ \item{xlim}{limits for the x axis} \item{ylim}{limits for the y axis} \item{wise}{deprecated in 0.9.1} } \description{ The Cartesian coordinate system is the most familiar, and common, type of coordinate system. Setting limits on the coordinate system will zoom the plot (like you're looking at it with a magnifying glass), and will not change the underlying data like setting limits on a scale will. } \examples{ # There are two ways of zooming the plot display: with scales or # with coordinate systems. They work in two rather different ways. (p <- qplot(disp, wt, data=mtcars) + geom_smooth()) # Setting the limits on a scale will throw away all data that's not # inside these limits. This is equivalent to plotting a subset of # the original data p + scale_x_continuous(limits = c(325, 500)) # Setting the limits on the coordinate system performs a visual zoom # the data is unchanged, and we just view a small portion of the original # plot. See how the axis labels are the same as the original data, and # the smooth continue past the points visible on this plot. p + coord_cartesian(xlim = c(325, 500)) # You can see the same thing with this 2d histogram (d <- ggplot(diamonds, aes(carat, price)) + stat_bin2d(bins = 25, colour="grey50")) # When zooming the scale, the we get 25 new bins that are the same # size on the plot, but represent smaller regions of the data space d + scale_x_continuous(limits = c(0, 2)) # When zooming the coordinate system, we see a subset of original 50 bins, # displayed bigger d + coord_cartesian(xlim = c(0, 2)) } ggplot2/man/position_fill.Rd0000644000175100001440000000215612114160774015571 0ustar hornikusers\name{position_fill} \alias{position_fill} \title{Stack overlapping objects on top of one another, and standardise to have equal height.} \usage{ position_fill(width = NULL, height = NULL) } \arguments{ \item{width}{Manually specify width (does not affect all position adjustments)} \item{height}{Manually specify height (does not affect all position adjustments)} } \description{ Stack overlapping objects on top of one another, and standardise to have equal height. } \examples{ \donttest{ # See ?geom_bar and ?geom_area for more examples ggplot(mtcars, aes(x=factor(cyl), fill=factor(vs))) + geom_bar(position="fill") cde <- geom_histogram(position="fill", binwidth = 500) ggplot(diamonds, aes(x=price)) + cde ggplot(diamonds, aes(x=price, fill=cut)) + cde ggplot(diamonds, aes(x=price, fill=clarity)) + cde ggplot(diamonds, aes(x=price, fill=color)) + cde } } \seealso{ See \code{\link{geom_bar}} and \code{\link{geom_area}} for more examples. Other position adjustments: \code{\link{position_dodge}}, \code{\link{position_identity}}, \code{\link{position_jitter}}, \code{\link{position_stack}} } ggplot2/man/theme.Rd0000644000175100001440000002517412114161113014012 0ustar hornikusers\name{theme} \alias{theme} \title{Set theme elements} \usage{ theme(..., complete = FALSE) } \arguments{ \item{...}{a list of element name, element pairings that modify the existing theme.} \item{complete}{set this to TRUE if this is a complete theme, such as the one returned \code{by theme_grey()}. Complete themes behave differently when added to a ggplot object.} } \description{ Use this function to modify theme settings. } \details{ Theme elements can inherit properties from other theme elements. For example, \code{axis.title.x} inherits from \code{axis.title}, which in turn inherits from \code{text}. All text elements inherit directly or indirectly from \code{text}; all lines inherit from \code{line}, and all rectangular objects inherit from \code{rect}. For more examples of modifying properties using inheritance, see \code{\link{+.gg}} and \code{\link{\%+replace\%}}. To see a graphical representation of the inheritance tree, see the last example below. } \section{Theme elements}{ The individual theme elements are: \tabular{ll}{ line \tab all line elements (\code{element_line}) \cr rect \tab all rectangluar elements (\code{element_rect}) \cr text \tab all text elements (\code{element_text}) \cr title \tab all title elements: plot, axes, legends (\code{element_text}; inherits from \code{text}) \cr axis.title \tab label of axes (\code{element_text}; inherits from \code{text}) \cr axis.title.x \tab x axis label (\code{element_text}; inherits from \code{axis.title}) \cr axis.title.y \tab y axis label (\code{element_text}; inherits from \code{axis.title}) \cr axis.text \tab tick labels along axes (\code{element_text}; inherits from \code{text}) \cr axis.text.x \tab x axis tick labels (\code{element_text}; inherits from \code{axis.text}) \cr axis.text.y \tab y axis tick labels (\code{element_text}; inherits from \code{axis.text}) \cr axis.ticks \tab tick marks along axes (\code{element_line}; inherits from \code{line}) \cr axis.ticks.x \tab x axis tick marks (\code{element_line}; inherits from \code{axis.ticks}) \cr axis.ticks.y \tab y axis tick marks (\code{element_line}; inherits from \code{axis.ticks}) \cr axis.ticks.length \tab length of tick marks (\code{unit}) \cr axis.ticks.margin \tab space between tick mark and tick label (\code{unit}) \cr axis.line \tab lines along axes (\code{element_line}; inherits from \code{line}) \cr axis.line.x \tab line along x axis (\code{element_line}; inherits from \code{axis.line}) \cr axis.line.y \tab line along y axis (\code{element_line}; inherits from \code{axis.line}) \cr legend.background \tab background of legend (\code{element_rect}; inherits from \code{rect}) \cr legend.margin \tab extra space added around legend (\code{unit}) \cr legend.key \tab background underneath legend keys (\code{element_rect}; inherits from \code{rect}) \cr legend.key.size \tab size of legend keys (\code{unit}; inherits from \code{legend.key.size}) \cr legend.key.height \tab key background height (\code{unit}; inherits from \code{legend.key.size}) \cr legend.key.width \tab key background width (\code{unit}; inherits from \code{legend.key.size}) \cr legend.text \tab legend item labels (\code{element_text}; inherits from \code{text}) \cr legend.text.align \tab alignment of legend labels (number from 0 (left) to 1 (right)) \cr legend.title \tab title of legend (\code{element_text}; inherits from \code{title}) \cr legend.title.align \tab alignment of legend title (number from 0 (left) to 1 (right)) \cr legend.position \tab the position of legends. ("left", "right", "bottom", "top", or two-element numeric vector) \cr legend.direction \tab layout of items in legends ("horizontal" or "vertical") \cr legend.justification \tab anchor point for positioning legend inside plot ("center" or two-element numeric vector) \cr legend.box \tab arrangement of multiple legends ("horizontal" or "vertical") \cr legend.box.just \tab justification of each legend within the overall bounding box, when there are multiple legends ("top", "bottom", "left", or "right")\cr panel.background \tab background of plotting area, drawn underneath plot (\code{element_rect}; inherits from \code{rect}) \cr panel.border \tab border around plotting area, drawn on top of plot so that it covers tick marks and grid lines. This should be used with \code{fill=NA} (\code{element_rect}; inherits from \code{rect}) \cr panel.margin \tab margin around facet panels (\code{unit}) \cr panel.grid \tab grid lines (\code{element_line}; inherits from \code{line}) \cr panel.grid.major \tab major grid lines (\code{element_line}; inherits from \code{panel.grid}) \cr panel.grid.minor \tab minor grid lines (\code{element_line}; inherits from \code{panel.grid}) \cr panel.grid.major.x \tab vertical major grid lines (\code{element_line}; inherits from \code{panel.grid.major}) \cr panel.grid.major.y \tab horizontal major grid lines (\code{element_line}; inherits from \code{panel.grid.major}) \cr panel.grid.minor.x \tab vertical minor grid lines (\code{element_line}; inherits from \code{panel.grid.minor}) \cr panel.grid.minor.y \tab horizontal minor grid lines (\code{element_line}; inherits from \code{panel.grid.minor}) \cr plot.background \tab background of the entire plot (\code{element_rect}; inherits from \code{rect}) \cr plot.title \tab plot title (text appearance) (\code{element_text}; inherits from \code{title}) \cr plot.margin \tab margin around entire plot (\code{unit} with the sizes of the top, right, bottom, and left margins) \cr strip.background \tab background of facet labels (\code{element_rect}; inherits from \code{rect}) \cr strip.text \tab facet labels (\code{element_text}; inherits from \code{text}) \cr strip.text.x \tab facet labels along horizontal direction (\code{element_text}; inherits from \code{strip.text}) \cr strip.text.y \tab facet labels along vertical direction (\code{element_text}; inherits from \code{strip.text}) \cr } } \examples{ \donttest{ p <- qplot(mpg, wt, data = mtcars) p p + theme(panel.background = element_rect(colour = "pink")) p + theme_bw() # Scatter plot of gas mileage by vehicle weight p <- ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point() # Calculate slope and intercept of line of best fit coef(lm(mpg ~ wt, data = mtcars)) p + geom_abline(intercept = 37, slope = -5) # Calculate correlation coefficient with(mtcars, cor(wt, mpg, use = "everything", method = "pearson")) #annotate the plot p + geom_abline(intercept = 37, slope = -5) + geom_text(data = data.frame(), aes(4.5, 30, label = "Pearson-R = -.87")) # Change the axis labels # Original plot p p + xlab("Vehicle Weight") + ylab("Miles per Gallon") # Or p + labs(x = "Vehicle Weight", y = "Miles per Gallon") # Change title appearance p <- p + labs(title = "Vehicle Weight-Gas Mileage Relationship") # Set title to twice the base font size p + theme(plot.title = element_text(size = rel(2))) p + theme(plot.title = element_text(size = rel(2), colour = "blue")) # Changing plot look with themes DF <- data.frame(x = rnorm(400)) m <- ggplot(DF, aes(x = x)) + geom_histogram() # Default is theme_grey() m # Compare with m + theme_bw() # Manipulate Axis Attributes library(grid) # for unit m + theme(axis.line = element_line(size = 3, colour = "red", linetype = "dotted")) m + theme(axis.text = element_text(colour = "blue")) m + theme(axis.text.y = element_blank()) m + theme(axis.ticks = element_line(size = 2)) m + theme(axis.title.y = element_text(size = rel(1.5), angle = 90)) m + theme(axis.title.x = element_blank()) m + theme(axis.ticks.length = unit(.85, "cm")) # Legend Attributes z <- ggplot(mtcars, aes(wt, mpg, colour = factor(cyl))) + geom_point() z z + theme(legend.position = "none") z + theme(legend.position = "bottom") # Or use relative coordinates between 0 and 1 z + theme(legend.position = c(.5, .5)) z + theme(legend.background = element_rect(colour = "black")) # Legend margin controls extra space around outside of legend: z + theme(legend.background = element_rect(), legend.margin = unit(1, "cm")) z + theme(legend.background = element_rect(), legend.margin = unit(0, "cm")) # Or to just the keys z + theme(legend.key = element_rect(colour = "black")) z + theme(legend.key = element_rect(fill = "yellow")) z + theme(legend.key.size = unit(2.5, "cm")) z + theme(legend.text = element_text(size = 20, colour = "red", angle = 45)) z + theme(legend.title = element_text(face = "italic")) # To change the title of the legend use the name argument # in one of the scale options z + scale_colour_brewer(name = "My Legend") z + scale_colour_grey(name = "Number of \\nCylinders") # Panel and Plot Attributes z + theme(panel.background = element_rect(fill = "black")) z + theme(panel.border = element_rect(linetype = "dashed", colour = "black")) z + theme(panel.grid.major = element_line(colour = "blue")) z + theme(panel.grid.minor = element_line(colour = "red", linetype = "dotted")) z + theme(panel.grid.major = element_line(size = 2)) z + theme(panel.grid.major.y = element_blank(), panel.grid.minor.y = element_blank()) z + theme(plot.background = element_rect()) z + theme(plot.background = element_rect(fill = "green")) # Faceting Attributes set.seed(4940) dsmall <- diamonds[sample(nrow(diamonds), 1000), ] k <- ggplot(dsmall, aes(carat, ..density..)) + geom_histogram(binwidth = 0.2) + facet_grid(. ~ cut) k + theme(strip.background = element_rect(colour = "purple", fill = "pink", size = 3, linetype = "dashed")) k + theme(strip.text.x = element_text(colour = "red", angle = 45, size = 10, hjust = 0.5, vjust = 0.5)) k + theme(panel.margin = unit(5, "lines")) k + theme(panel.margin = unit(0, "lines")) # Modify a theme and save it mytheme <- theme_grey() + theme(plot.title = element_text(colour = "red")) p + mytheme ## Run this to generate a graph of the element inheritance tree build_element_graph <- function(tree) { require(igraph) require(plyr) inheritdf <- function(name, item) { if (length(item$inherit) == 0) data.frame() else data.frame(child = name, parent = item$inherit) } edges <- rbind.fill(mapply(inheritdf, names(tree), tree)) # Explicitly add vertices (since not all are in edge list) vertices <- data.frame(name = names(tree)) graph.data.frame(edges, vertices = vertices) } g <- build_element_graph(ggplot2:::.element_tree) V(g)$label <- V(g)$name set.seed(324) par(mar=c(0,0,0,0)) # Remove unnecessary margins plot(g, layout=layout.fruchterman.reingold, vertex.size=4, vertex.label.dist=.25) } } \seealso{ \code{\link{+.gg}} \code{\link{\%+replace\%}} \code{\link{rel}} } ggplot2/man/resolution.Rd0000644000175100001440000000134012114160774015114 0ustar hornikusers\name{resolution} \alias{resolution} \title{Compute the "resolution" of a data vector.} \usage{ resolution(x, zero = TRUE) } \arguments{ \item{x}{numeric vector} \item{zero}{should a zero value be automatically included in the computation of resolution} } \description{ The resolution is is the smallest non-zero distance between adjacent values. If there is only one unique value, then the resolution is defined to be one. } \details{ If x is an integer vector, then it is assumed to represent a discrete variable, and the resolution is 1. } \examples{ resolution(1:10) resolution((1:10) - 0.5) resolution((1:10) - 0.5, FALSE) resolution(c(1,2, 10, 20, 50)) resolution(as.integer(c(1, 10, 20, 50))) # Returns 1 } ggplot2/man/scale_datetime.Rd0000644000175100001440000000606612114160774015666 0ustar hornikusers\name{scale_x_datetime} \alias{scale_x_datetime} \alias{scale_y_datetime} \title{Position scale, date} \usage{ scale_x_datetime(..., expand = waiver(), breaks = pretty_breaks(), minor_breaks = waiver()) scale_y_datetime(..., expand = waiver(), breaks = pretty_breaks(), minor_breaks = waiver()) } \arguments{ \item{breaks}{A vector of breaks, a function that given the scale limits returns a vector of breaks, or a character vector, specifying the width between breaks. For more information about the first two, see \code{\link{continuous_scale}}, for more information about the last, see \code{\link[scales]{date_breaks}}`.} \item{minor_breaks}{Either \code{NULL} for no minor breaks, \code{waiver()} for the default breaks (one minor break between each major break), a numeric vector of positions, or a function that given the limits returns a vector of minor breaks.} \item{...}{common continuous scale parameters: \code{name}, \code{breaks}, \code{labels}, \code{na.value}, \code{limits} and \code{trans}. See \code{\link{continuous_scale}} for more details} \item{expand}{a numeric vector of length two giving multiplicative and additive expansion constants. These constants ensure that the data is placed some distance away from the axes.} } \description{ Position scale, date } \examples{ start <- ISOdate(2001, 1, 1, tz = "") df <- data.frame( day30 = start + round(runif(100, max = 30 * 86400)), day7 = start + round(runif(100, max = 7 * 86400)), day = start + round(runif(100, max = 86400)), hour10 = start + round(runif(100, max = 10 * 3600)), hour5 = start + round(runif(100, max = 5 * 3600)), hour = start + round(runif(100, max = 3600)), min10 = start + round(runif(100, max = 10 * 60)), min5 = start + round(runif(100, max = 5 * 60)), min = start + round(runif(100, max = 60)), sec10 = start + round(runif(100, max = 10)), y = runif(100) ) # Automatic scale selection qplot(sec10, y, data = df) qplot(min, y, data = df) qplot(min5, y, data = df) qplot(min10, y, data = df) qplot(hour, y, data = df) qplot(hour5, y, data = df) qplot(hour10, y, data = df) qplot(day, y, data = df) qplot(day30, y, data = df) # Manual scale selection qplot(day30, y, data = df) library(scales) # to access breaks/formatting functions last_plot() + scale_x_datetime(breaks = date_breaks("2 weeks")) last_plot() + scale_x_datetime(breaks = date_breaks("10 days")) library(scales) # to access breaks/formatting functions last_plot() + scale_x_datetime(breaks = date_breaks("10 days"), labels = date_format("\%d/\%m")) last_plot() + scale_x_datetime(breaks = date_breaks("1 day"), minor_breaks = date_breaks("2 hour")) } \seealso{ Other position scales: \code{\link{scale_x_continuous}}, \code{\link{scale_x_date}}, \code{\link{scale_x_discrete}}, \code{\link{scale_x_log10}}, \code{\link{scale_x_reverse}}, \code{\link{scale_x_sqrt}}, \code{\link{scale_y_continuous}}, \code{\link{scale_y_date}}, \code{\link{scale_y_discrete}}, \code{\link{scale_y_log10}}, \code{\link{scale_y_reverse}}, \code{\link{scale_y_sqrt}} } ggplot2/man/ggplot_build.Rd0000644000175100001440000000117012114160774015365 0ustar hornikusers\name{ggplot_build} \alias{ggplot_build} \title{Build ggplot for rendering.} \usage{ ggplot_build(plot) } \arguments{ \item{plot}{ggplot object} } \description{ This function takes the plot object, and performs all steps necessary to produce an object that can be rendered. This function outputs two pieces: a list of data frames (one for each layer), and a panel object, which contain all information about axis limits, breaks etc. } \seealso{ \code{\link{print.ggplot}} and \code{link{benchplot}} for for functions that contain the complete set of steps for generating a ggplot2 plot. } \keyword{internal} ggplot2/man/geom_contour.Rd0000644000175100001440000000276712114160774015427 0ustar hornikusers\name{geom_contour} \alias{geom_contour} \title{Display contours of a 3d surface in 2d.} \usage{ geom_contour(mapping = NULL, data = NULL, stat = "contour", position = "identity", lineend = "butt", linejoin = "round", linemitre = 1, na.rm = FALSE, ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{na.rm}{If \code{FALSE} (the default), removes missing values with a warning. If \code{TRUE} silently removes missing values.} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} \item{lineend}{Line end style (round, butt, square)} \item{linejoin}{Line join style (round, mitre, bevel)} \item{linemitre}{Line mitre limit (number greater than 1)} } \description{ Display contours of a 3d surface in 2d. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "contour")} } \examples{ # See stat_contour for examples } \seealso{ \code{\link{geom_density2d}}: 2d density contours } ggplot2/man/stat_function.Rd0000644000175100001440000000452012114160774015574 0ustar hornikusers\name{stat_function} \alias{stat_function} \title{Superimpose a function.} \usage{ stat_function(mapping = NULL, data = NULL, geom = "path", position = "identity", fun, n = 101, args = list(), ...) } \arguments{ \item{fun}{function to use} \item{n}{number of points to interpolate along} \item{args}{list of additional arguments to pass to \code{fun}} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{geom}{The geometric object to use display the data} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \value{ a data.frame with additional columns: \item{x}{x's along a grid} \item{y}{value of function evaluated at corresponding x} } \description{ Superimpose a function. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "function")} } \examples{ x <- rnorm(100) base <- qplot(x, geom = "density") base + stat_function(fun = dnorm, colour = "red") base + stat_function(fun = dnorm, colour = "red", arg = list(mean = 3)) # Plot functions without data # Examples adapted from Kohske Takahashi # Specify range of x-axis qplot(c(0, 2), stat = "function", fun = exp, geom = "line") ggplot(data.frame(x = c(0, 2)), aes(x)) + stat_function(fun = exp) # Plot a normal curve ggplot(data.frame(x = c(-5, 5)), aes(x)) + stat_function(fun = dnorm) # With qplot qplot(c(-5, 5), stat = "function", fun = dnorm, geom = "line") # Or qplot(c(-5, 5), geom = "blank") + stat_function(fun = dnorm) # To specify a different mean or sd, use the args parameter to supply new values ggplot(data.frame(x = c(-5, 5)), aes(x)) + stat_function(fun = dnorm, args = list(mean = 2, sd = .5)) # Two functions on the same plot f <- ggplot(data.frame(x = c(0, 10)), aes(x)) f + stat_function(fun = sin, colour = "red") + stat_function(fun = cos, colour = "blue") # Using a custom function test <- function(x) {x ^ 2 + x + 20} f + stat_function(fun = test) } ggplot2/man/annotation_logticks.Rd0000644000175100001440000000674112114161113016760 0ustar hornikusers\name{annotation_logticks} \alias{annotation_logticks} \title{Annotation: log tick marks} \usage{ annotation_logticks(base = 10, sides = "bl", scaled = TRUE, short = unit(0.1, "cm"), mid = unit(0.2, "cm"), long = unit(0.3, "cm"), colour = "black", size = 0.5, linetype = 1, alpha = 1, color = NULL, ...) } \arguments{ \item{base}{the base of the log (default 10)} \item{sides}{a string that controls which sides of the plot the log ticks appear on. It can be set to a string containing any of \code{"trbl"}, for top, right, bottom, and left.} \item{short}{a \code{unit} object specifying the length of the short tick marks} \item{mid}{a \code{unit} object specifying the length of the middle tick marks. In base 10, these are the "5" ticks.} \item{long}{a \code{unit} object specifying the length of the long tick marks. In base 10, these are the "1" (or "10") ticks.} \item{scaled}{is the data already log-scaled? This should be \code{TRUE} (default) when the data is already transformed with \code{log10()} or when using \code{scale_y_log10}. It should be \code{FALSE} when using \code{coord_trans(y = "log10")}.} \item{colour}{Colour of the tick marks.} \item{size}{Thickness of tick marks, in mm.} \item{linetype}{Linetype of tick marks (\code{solid}, \code{dashed}, etc.)} \item{alpha}{The transparency of the tick marks.} \item{color}{An alias for \code{colour}.} \item{...}{Other parameters passed on to the layer} } \description{ This annotation adds log tick marks with diminishing spacing. These tick marks probably make sense only for base 10. } \examples{ # Make a log-log plot (without log ticks) library(MASS) library(scales) a <- ggplot(Animals, aes(x = body, y = brain)) + geom_point() + scale_x_log10(breaks = trans_breaks("log10", function(x) 10^x), labels = trans_format("log10", math_format(10^.x))) + scale_y_log10(breaks = trans_breaks("log10", function(x) 10^x), labels = trans_format("log10", math_format(10^.x))) + theme_bw() a + annotation_logticks() # Default: log ticks on bottom and left a + annotation_logticks(sides = "lr") # Log ticks for y, on left and right a + annotation_logticks(sides = "trbl") # All four sides # Hide the minor grid lines because they don't align with the ticks a + annotation_logticks(sides = "trbl") + theme(panel.grid.minor = element_blank()) # Another way to get the same results as 'a' above: log-transform the data before b <- ggplot(Animals, aes(x = log10(body), y = log10(brain))) + geom_point() + scale_x_continuous(name = "body", labels = math_format(10^.x)) + scale_y_continuous(name = "brain", labels = math_format(10^.x)) + theme_bw()+ theme(panel.grid.minor = element_blank()) b + annotation_logticks() # This shows log(x) on the axes d <- ggplot(Animals, aes(x = log10(body), y = log10(brain))) + geom_point() + theme_bw() d + annotation_logticks() # Using a coordinate transform requires scaled = FALSE t <- ggplot(Animals, aes(x = body, y = brain)) + geom_point() + coord_trans(xtrans = "log10", ytrans = "log10") + theme_bw() t + annotation_logticks(scaled = FALSE) # Change the length of the ticks library(grid) a + annotation_logticks(short = unit(.5,"mm"), mid = unit(3,"mm"), long = unit(4,"mm")) } \seealso{ \code{\link{scale_y_continuous}}, \code{\link{scale_y_log10}} for log scale transformations. \code{\link{coord_trans}} for log coordinate transformations. } ggplot2/man/geom_density2d.Rd0000644000175100001440000000330112114160774015624 0ustar hornikusers\name{geom_density2d} \alias{geom_density2d} \title{Contours from a 2d density estimate.} \usage{ geom_density2d(mapping = NULL, data = NULL, stat = "density2d", position = "identity", lineend = "butt", linejoin = "round", linemitre = 1, na.rm = FALSE, ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{na.rm}{If \code{FALSE} (the default), removes missing values with a warning. If \code{TRUE} silently removes missing values.} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} \item{lineend}{Line end style (round, butt, square)} \item{linejoin}{Line join style (round, mitre, bevel)} \item{linemitre}{Line mitre limit (number greater than 1)} } \description{ Perform a 2D kernel density estimatation using kde2d and display the results with contours. } \details{ This can be useful for dealing with overplotting. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "density2d")} } \examples{ # See stat_density2d for examples } \seealso{ \code{\link{geom_contour}} for contour drawing geom, \code{\link{stat_sum}} for another way of dealing with overplotting } ggplot2/man/update_labels.Rd0000644000175100001440000000073312114160774015522 0ustar hornikusers\name{update_labels} \alias{update_labels} \title{Update axis/legend labels} \usage{ update_labels(p, labels) } \arguments{ \item{p}{plot to modify} \item{labels}{named list of new labels} } \description{ Update axis/legend labels } \examples{ p <- qplot(mpg, wt, data = mtcars) update_labels(p, list(x = "New x")) update_labels(p, list(x = expression(x / y ^ 2))) update_labels(p, list(x = "New x", y = "New Y")) update_labels(p, list(colour = "Fail silently")) } ggplot2/man/coord_flip.Rd0000644000175100001440000000164112114160774015035 0ustar hornikusers\name{coord_flip} \alias{coord_flip} \title{Flipped cartesian coordinates.} \usage{ coord_flip(...) } \arguments{ \item{...}{Other arguments passed onto \code{\link{coord_cartesian}}} } \description{ Flipped cartesian coordinates so that horizontal becomes vertical, and vertical, horizontal. This is primarily useful for converting geoms and statistics which display y conditional on x, to x conditional on y. } \examples{ \donttest{ # Very useful for creating boxplots, and other interval # geoms in the horizontal instead of vertical position. qplot(cut, price, data=diamonds, geom="boxplot") last_plot() + coord_flip() qplot(cut, data=diamonds, geom="bar") last_plot() + coord_flip() h <- qplot(carat, data=diamonds, geom="histogram") h h + coord_flip() h + coord_flip() + scale_x_reverse() # You can also use it to flip lines and area plots: qplot(1:5, (1:5)^2, geom="area") last_plot() + coord_flip() } } ggplot2/man/theme_minimal.Rd0000644000175100001440000000050512114161113015507 0ustar hornikusers\name{theme_minimal} \alias{theme_minimal} \title{A minimalistic theme with no background annotations.} \usage{ theme_minimal(base_size = 12, base_family = "") } \arguments{ \item{base_size}{base font size} \item{base_family}{base font family} } \description{ A minimalistic theme with no background annotations. } ggplot2/man/cweave.Rd0000644000175100001440000000040512114160774014164 0ustar hornikusers\name{cweave} \alias{cweave} \title{Col weave} \usage{ cweave(...) } \arguments{ \item{...}{matrices to weave together} } \description{ Weave together two (or more) matrices by column } \details{ Matrices must have same dimensions } \keyword{internal} ggplot2/man/element_rect.Rd0000644000175100001440000000064512114160774015366 0ustar hornikusers\name{element_rect} \alias{element_rect} \title{Theme element: rectangle.} \usage{ element_rect(fill = NULL, colour = NULL, size = NULL, linetype = NULL, color = NULL) } \arguments{ \item{fill}{fill colour} \item{colour}{border colour} \item{size}{border size} \item{linetype}{border linetype} \item{color}{an alias for \code{colour}} } \description{ Most often used for backgrounds and borders. } ggplot2/man/geom_ribbon.Rd0000644000175100001440000000454712114160774015207 0ustar hornikusers\name{geom_ribbon} \alias{geom_ribbon} \title{Ribbons, y range with continuous x values.} \usage{ geom_ribbon(mapping = NULL, data = NULL, stat = "identity", position = "identity", na.rm = FALSE, ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{na.rm}{If \code{FALSE} (the default), removes missing values with a warning. If \code{TRUE} silently removes missing values.} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ Ribbons, y range with continuous x values. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "ribbon")} } \examples{ \donttest{ # Generate data huron <- data.frame(year = 1875:1972, level = as.vector(LakeHuron)) library(plyr) # to access round_any huron$decade <- round_any(huron$year, 10, floor) h <- ggplot(huron, aes(x=year)) h + geom_ribbon(aes(ymin=0, ymax=level)) h + geom_area(aes(y = level)) # Add aesthetic mappings h + geom_ribbon(aes(ymin=level-1, ymax=level+1)) h + geom_ribbon(aes(ymin=level-1, ymax=level+1)) + geom_line(aes(y=level)) # Take out some values in the middle for an example of NA handling huron[huron$year > 1900 & huron$year < 1910, "level"] <- NA h <- ggplot(huron, aes(x=year)) h + geom_ribbon(aes(ymin=level-1, ymax=level+1)) + geom_line(aes(y=level)) # Another data set, with multiple y's for each x m <- ggplot(movies, aes(y=votes, x=year)) (m <- m + geom_point()) # The default summary isn't that useful m + stat_summary(geom="ribbon", fun.ymin="min", fun.ymax="max") m + stat_summary(geom="ribbon", fun.data="median_hilow") # Use qplot instead qplot(year, level, data=huron, geom=c("area", "line")) } } \seealso{ \code{\link{geom_bar}} for discrete intervals (bars), \code{\link{geom_linerange}} for discrete intervals (lines), \code{\link{geom_polygon}} for general polygons" } ggplot2/man/scale_manual.Rd0000644000175100001440000000425412114160774015344 0ustar hornikusers\name{scale_manual} \alias{scale_alpha_manual} \alias{scale_color_manual} \alias{scale_colour_manual} \alias{scale_fill_manual} \alias{scale_linetype_manual} \alias{scale_manual} \alias{scale_shape_manual} \alias{scale_size_manual} \title{Create your own discrete scale.} \usage{ scale_colour_manual(..., values) scale_fill_manual(..., values) scale_size_manual(..., values) scale_shape_manual(..., values) scale_linetype_manual(..., values) scale_alpha_manual(..., values) scale_color_manual(..., values) } \arguments{ \item{values}{a set of aesthetic values to map data values to. If this is a named vector, then the values will be matched based on the names. If unnamed, values will be matched in order (usually alphabetical) with the limits of the scale. Any data values that don't match will be given \code{na.value}.} \item{...}{common discrete scale parameters: \code{name}, \code{breaks}, \code{labels}, \code{na.value}, \code{limits} and \code{guide}. See \code{\link{discrete_scale}} for more details} } \description{ Create your own discrete scale. } \examples{ \donttest{ p <- qplot(mpg, wt, data = mtcars, colour = factor(cyl)) p + scale_colour_manual(values = c("red","blue", "green")) p + scale_colour_manual( values = c("8" = "red","4" = "blue","6" = "green")) # With rgb hex values p + scale_colour_manual(values = c("#FF0000", "#0000FF", "#00FF00")) # As with other scales you can use breaks to control the appearance # of the legend cols <- c("8" = "red","4" = "blue","6" = "darkgreen", "10" = "orange") p + scale_colour_manual(values = cols) p + scale_colour_manual(values = cols, breaks = c("4", "6", "8")) p + scale_colour_manual(values = cols, breaks = c("8", "6", "4")) p + scale_colour_manual(values = cols, breaks = c("4", "6", "8"), labels = c("four", "six", "eight")) # And limits to control the possible values of the scale p + scale_colour_manual(values = cols, limits = c("4", "8")) p + scale_colour_manual(values = cols, limits = c("4", "6", "8", "10")) # Notice that the values are matched with limits, and not breaks p + scale_colour_manual(limits = c(6, 8, 4), breaks = c(8, 4, 6), values = c("grey50", "grey80", "black")) } } ggplot2/man/label_bquote.Rd0000644000175100001440000000115012114160774015346 0ustar hornikusers\name{label_bquote} \alias{label_bquote} \title{Label facet with 'bquoted' expressions} \usage{ label_bquote(expr = beta^.(x)) } \arguments{ \item{expr}{labelling expression to use} } \description{ See \code{\link{bquote}} for details on the syntax of the argument. The label value is x. } \examples{ p <- qplot(wt, mpg, data = mtcars) p + facet_grid(. ~ vs, labeller = label_bquote(alpha ^ .(x))) p + facet_grid(. ~ vs, labeller = label_bquote(.(x) ^ .(x))) } \seealso{ \code{\link{plotmath}} Other facet labellers: \code{\link{label_both}}, \code{\link{label_parsed}}, \code{\link{label_value}} } ggplot2/man/hmisc.Rd0000644000175100001440000000125612114160774014022 0ustar hornikusers\name{hmisc} \alias{hmisc} \alias{mean_cl_boot} \alias{mean_cl_normal} \alias{mean_sdl} \alias{median_hilow} \title{Wrap up a selection of summary functions from Hmisc to make it easy to use with \code{\link{stat_summary}}.} \usage{ mean_cl_boot(x, ...) mean_cl_normal(x, ...) mean_sdl(x, ...) median_hilow(x, ...) } \arguments{ \item{x}{a numeric vector} \item{...}{other arguments passed on to the respective Hmisc function.} } \description{ See the Hmisc documentation for details of their options. } \seealso{ \code{\link[Hmisc]{smean.cl.boot}}, \code{\link[Hmisc]{smean.cl.normal}}, \code{\link[Hmisc]{smean.sdl}}, \code{\link[Hmisc]{smedian.hilow}} } ggplot2/man/should_stop.Rd0000644000175100001440000000053212114160774015256 0ustar hornikusers\name{should_stop} \alias{should_stop} \title{Used in examples to illustrate when errors should occur.} \usage{ should_stop(expr) } \arguments{ \item{expr}{code to evaluate.} } \description{ Used in examples to illustrate when errors should occur. } \examples{ should_stop(stop("Hi!")) should_stop(should_stop("Hi!")) } \keyword{internal} ggplot2/man/theme_grey.Rd0000644000175100001440000000051112114160774015040 0ustar hornikusers\name{theme_grey} \alias{theme_gray} \alias{theme_grey} \title{A theme with grey background and white gridlines.} \usage{ theme_grey(base_size = 12, base_family = "") } \arguments{ \item{base_size}{base font size} \item{base_family}{base font family} } \description{ A theme with grey background and white gridlines. } ggplot2/man/geom_map.Rd0000644000175100001440000000521112114160774014476 0ustar hornikusers\name{geom_map} \alias{geom_map} \title{Polygons from a reference map.} \usage{ geom_map(mapping = NULL, data = NULL, map, stat = "identity", ...) } \arguments{ \item{map}{Data frame that contains the map coordinates. This will typically be created using \code{\link{fortify}} on a spatial object. It must contain columns \code{x} or \code{long}, \code{y} or \code{lat}, and \code{region} or \code{id}.} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ Does not affect position scales. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "map")} } \examples{ # When using geom_polygon, you will typically need two data frames: # one contains the coordinates of each polygon (positions), and the # other the values associated with each polygon (values). An id # variable links the two together ids <- factor(c("1.1", "2.1", "1.2", "2.2", "1.3", "2.3")) values <- data.frame( id = ids, value = c(3, 3.1, 3.1, 3.2, 3.15, 3.5) ) positions <- data.frame( id = rep(ids, each = 4), x = c(2, 1, 1.1, 2.2, 1, 0, 0.3, 1.1, 2.2, 1.1, 1.2, 2.5, 1.1, 0.3, 0.5, 1.2, 2.5, 1.2, 1.3, 2.7, 1.2, 0.5, 0.6, 1.3), y = c(-0.5, 0, 1, 0.5, 0, 0.5, 1.5, 1, 0.5, 1, 2.1, 1.7, 1, 1.5, 2.2, 2.1, 1.7, 2.1, 3.2, 2.8, 2.1, 2.2, 3.3, 3.2) ) ggplot(values) + geom_map(aes(map_id = id), map = positions) + expand_limits(positions) ggplot(values, aes(fill = value)) + geom_map(aes(map_id = id), map = positions) + expand_limits(positions) ggplot(values, aes(fill = value)) + geom_map(aes(map_id = id), map = positions) + expand_limits(positions) + ylim(0, 3) # Better example crimes <- data.frame(state = tolower(rownames(USArrests)), USArrests) library(reshape2) # for melt crimesm <- melt(crimes, id = 1) if (require(maps)) { states_map <- map_data("state") ggplot(crimes, aes(map_id = state)) + geom_map(aes(fill = Murder), map = states_map) + expand_limits(x = states_map$long, y = states_map$lat) last_plot() + coord_map() ggplot(crimesm, aes(map_id = state)) + geom_map(aes(fill = value), map = states_map) + expand_limits(x = states_map$long, y = states_map$lat) + facet_wrap( ~ variable) } } ggplot2/man/seals.Rd0000644000175100001440000000120212114160774014015 0ustar hornikusers\docType{data} \name{seals} \alias{seals} \title{Vector field of seal movements.} \format{A data frame with 1155 rows and 4 variables} \description{ This vector field was produced from the data described in Brillinger, D.R., Preisler, H.K., Ager, A.A. and Kie, J.G. "An exploratory data analysis (EDA) of the paths of moving animals". J. Statistical Planning and Inference 122 (2004), 43-63, using the methods of Brillinger, D.R., "Learning a potential function from a trajectory", Signal Processing Letters. December (2007). } \references{ \url{http://www.stat.berkeley.edu/~brill/Papers/jspifinal.pdf} } \keyword{datasets} ggplot2/man/translate_qplot_lattice.Rd0000644000175100001440000000546112114160774017642 0ustar hornikusers\name{translate_qplot_lattice} \alias{translate_qplot_lattice} \title{Translating between qplot and lattice} \description{ The major difference between lattice and ggplot2 is that lattice uses a formula based interface. ggplot2 does not because the formula does not generalise well to more complicated situations. } \examples{ \donttest{ library(lattice) xyplot(rating ~ year, data=movies) qplot(year, rating, data=movies) xyplot(rating ~ year | Comedy + Action, data = movies) qplot(year, rating, data = movies, facets = ~ Comedy + Action) # Or maybe qplot(year, rating, data = movies, facets = Comedy ~ Action) # While lattice has many different functions to produce different types of # graphics (which are all basically equivalent to setting the panel argument), # ggplot2 has qplot(). stripplot(~ rating, data = movies, jitter.data = TRUE) qplot(rating, 1, data = movies, geom = "jitter") histogram(~ rating, data = movies) qplot(rating, data = movies, geom = "histogram") bwplot(Comedy ~ rating ,data = movies) qplot(factor(Comedy), rating, data = movies, type = "boxplot") xyplot(wt ~ mpg, mtcars, type = c("p","smooth")) qplot(mpg, wt, data = mtcars, geom = c("point","smooth")) xyplot(wt ~ mpg, mtcars, type = c("p","r")) qplot(mpg, wt, data = mtcars, geom = c("point","smooth"), method = "lm") # The capabilities for scale manipulations are similar in both ggplot2 and # lattice, although the syntax is a little different. xyplot(wt ~ mpg | cyl, mtcars, scales = list(y = list(relation = "free"))) qplot(mpg, wt, data = mtcars) + facet_wrap(~ cyl, scales = "free") xyplot(wt ~ mpg | cyl, mtcars, scales = list(log = 10)) qplot(mpg, wt, data = mtcars, log = "xy") xyplot(wt ~ mpg | cyl, mtcars, scales = list(log = 2)) library(scales) # Load scales for log2_trans qplot(mpg, wt, data = mtcars) + scale_x_continuous(trans = log2_trans()) + scale_y_continuous(trans = log2_trans()) xyplot(wt ~ mpg, mtcars, group = cyl, auto.key = TRUE) # Map directly to an aesthetic like colour, size, or shape. qplot(mpg, wt, data = mtcars, colour = cyl) xyplot(wt ~ mpg, mtcars, xlim = c(20,30)) # Works like lattice, except you can't specify a different limit # for each panel/facet qplot(mpg, wt, data = mtcars, xlim = c(20,30)) # Both lattice and ggplot2 have similar options for controlling labels on the plot. xyplot(wt ~ mpg, mtcars, xlab = "Miles per gallon", ylab = "Weight", main = "Weight-efficiency tradeoff") qplot(mpg, wt, data = mtcars, xlab = "Miles per gallon", ylab = "Weight", main = "Weight-efficiency tradeoff") xyplot(wt ~ mpg, mtcars, aspect = 1) qplot(mpg, wt, data = mtcars, asp = 1) # par.settings() is equivalent to + theme() and trellis.options.set() # and trellis.par.get() to theme_set() and theme_get(). # More complicated lattice formulas are equivalent to rearranging the data # before using ggplot2. } } ggplot2/man/theme_update.Rd0000644000175100001440000000174112114160774015362 0ustar hornikusers\name{theme_update} \alias{theme_get} \alias{theme_set} \alias{theme_update} \title{Get, set and update themes.} \usage{ theme_update(...) theme_get() theme_set(new) } \arguments{ \item{...}{named list of theme settings} \item{new}{new theme (a list of theme elements)} } \description{ Use \code{theme_update} to modify a small number of elements of the current theme or use \code{theme_set} to completely override it. } \examples{ qplot(mpg, wt, data = mtcars) old <- theme_set(theme_bw()) qplot(mpg, wt, data = mtcars) theme_set(old) qplot(mpg, wt, data = mtcars) old <- theme_update(panel.background = element_rect(colour = "pink")) qplot(mpg, wt, data = mtcars) theme_set(old) theme_get() qplot(mpg, wt, data=mtcars, colour=mpg) + theme(legend.position=c(0.95, 0.95), legend.justification = c(1, 1)) last_plot() + theme(legend.background = element_rect(fill = "white", colour = "white", size = 3)) } \seealso{ \code{\link{\%+replace\%}} and \code{\link{+.gg}} } ggplot2/man/scale_discrete.Rd0000644000175100001440000000467512114160774015700 0ustar hornikusers\name{scale_x_discrete} \alias{scale_x_discrete} \alias{scale_y_discrete} \title{Discrete position.} \usage{ scale_x_discrete(..., expand = waiver()) scale_y_discrete(..., expand = waiver()) } \arguments{ \item{...}{common discrete scale parameters: \code{name}, \code{breaks}, \code{labels}, \code{na.value}, \code{limits} and \code{guide}. See \code{\link{discrete_scale}} for more details} \item{expand}{a numeric vector of length two giving multiplicative and additive expansion constants. These constants ensure that the data is placed some distance away from the axes.} } \description{ You can use continuous positions even with a discrete position scale - this allows you (e.g.) to place labels between bars in a bar chart. Continuous positions are numeric values starting at one for the first level, and increasing by one for each level (i.e. the labels are placed at integer positions). This is what allows jittering to work. } \examples{ \donttest{ qplot(cut, data=diamonds, stat="bin") qplot(cut, data=diamonds, geom="bar") # The discrete position scale is added automatically whenever you # have a discrete position. (d <- qplot(cut, clarity, data=subset(diamonds, carat > 1), geom="jitter")) d + scale_x_discrete("Cut") d + scale_x_discrete("Cut", labels = c("Fair" = "F","Good" = "G", "Very Good" = "VG","Perfect" = "P","Ideal" = "I")) d + scale_y_discrete("Clarity") d + scale_x_discrete("Cut") + scale_y_discrete("Clarity") # Use limits to adjust the which levels (and in what order) # are displayed d + scale_x_discrete(limits=c("Fair","Ideal")) # you can also use the short hand functions xlim and ylim d + xlim("Fair","Ideal", "Good") d + ylim("I1", "IF") # See ?reorder to reorder based on the values of another variable qplot(manufacturer, cty, data=mpg) qplot(reorder(manufacturer, cty), cty, data=mpg) qplot(reorder(manufacturer, displ), cty, data=mpg) # Use abbreviate as a formatter to reduce long names qplot(reorder(manufacturer, cty), cty, data=mpg) + scale_x_discrete(labels = abbreviate) } } \seealso{ Other position scales: \code{\link{scale_x_continuous}}, \code{\link{scale_x_date}}, \code{\link{scale_x_datetime}}, \code{\link{scale_x_log10}}, \code{\link{scale_x_reverse}}, \code{\link{scale_x_sqrt}}, \code{\link{scale_y_continuous}}, \code{\link{scale_y_date}}, \code{\link{scale_y_datetime}}, \code{\link{scale_y_log10}}, \code{\link{scale_y_reverse}}, \code{\link{scale_y_sqrt}} } ggplot2/man/coord_map.Rd0000644000175100001440000000510012114161113014636 0ustar hornikusers\name{coord_map} \alias{coord_map} \title{Map projections.} \usage{ coord_map(projection = "mercator", ..., orientation = NULL, xlim = NULL, ylim = NULL) } \arguments{ \item{projection}{projection to use, see \code{\link[mapproj]{mapproject}} for list} \item{...}{other arguments passed on to \code{\link[mapproj]{mapproject}}} \item{orientation}{projection orientation, which defaults to \code{c(90, 0, mean(range(x)))}. This is not optimal for many projections, so you will have to supply your own. See \code{\link[mapproj]{mapproject}} for more information.} \item{xlim}{manually specific x limits (in degrees of lontitude)} \item{ylim}{manually specific y limits (in degrees of latitude)} } \description{ This coordinate system provides the full range of map projections available in the mapproj package. } \details{ This is still experimental, and if you have any advice to offer regarding a better (or more correct) way to do this, please let me know } \examples{ if (require("maps")) { # Create a lat-long dataframe from the maps package nz <- map_data("nz") nzmap <- ggplot(nz, aes(x=long, y=lat, group=group)) + geom_polygon(fill="white", colour="black") # Use cartesian coordinates nzmap # With default mercator projection nzmap + coord_map() # Other projections nzmap + coord_map("cylindrical") nzmap + coord_map("azequalarea",orientation=c(-36.92,174.6,0)) states <- map_data("state") usamap <- ggplot(states, aes(x=long, y=lat, group=group)) + geom_polygon(fill="white", colour="black") # Use cartesian coordinates usamap # With mercator projection usamap + coord_map() # See ?mapproject for coordinate systems and their parameters usamap + coord_map("gilbert") usamap + coord_map("lagrange") # For most projections, you'll need to set the orientation yourself # as the automatic selection done by mapproject is not available to # ggplot usamap + coord_map("orthographic") usamap + coord_map("stereographic") usamap + coord_map("conic", lat0 = 30) usamap + coord_map("bonne", lat0 = 50) # World map, using geom_path instead of geom_polygon world <- map_data("world") worldmap <- ggplot(world, aes(x=long, y=lat, group=group)) + geom_path() + scale_y_continuous(breaks=(-2:2) * 30) + scale_x_continuous(breaks=(-4:4) * 45) # Orthographic projection with default orientation (looking down at North pole) worldmap + coord_map("ortho") # Looking up up at South Pole worldmap + coord_map("ortho", orientation=c(-90, 0, 0)) # Centered on New York (currently has issues with closing polygons) worldmap + coord_map("ortho", orientation=c(41, -74, 0)) } } ggplot2/man/zeroGrob.Rd0000644000175100001440000000030412114160774014501 0ustar hornikusers\name{zeroGrob} \alias{zeroGrob} \title{The zero grob draws nothing and has zero size.} \usage{ zeroGrob() } \description{ The zero grob draws nothing and has zero size. } \keyword{internal} ggplot2/man/stat_bindot.Rd0000644000175100001440000000564212114160774015234 0ustar hornikusers\name{stat_bindot} \alias{stat_bindot} \title{Bin data for dot plot.} \usage{ stat_bindot(mapping = NULL, data = NULL, geom = "dotplot", position = "identity", binwidth = NULL, origin = NULL, width = 0.9, binaxis = "x", method = "dotdensity", binpositions = "bygroup", drop = FALSE, right = TRUE, na.rm = FALSE, ...) } \arguments{ \item{binaxis}{The axis to bin along, "x" (default) or "y"} \item{method}{"dotdensity" (default) for dot-density binning, or "histodot" for fixed bin widths (like stat_bin)} \item{binwidth}{When \code{method} is "dotdensity, this specifies maximum bin width. When \code{method} is "histodot", this specifies bin width. Defaults to 1/30 of the range of the data} \item{binpositions}{When \code{method} is "dotdensity", "bygroup" (default) determines positions of the bins for each group separately. "all" determines positions of the bins with all the data taken together; this is used for aligning dot stacks across multiple groups.} \item{origin}{When \code{method} is "histodot", origin of first bin} \item{right}{When \code{method} is "histodot", should intervals be closed on the right (a, b], or not [a, b)} \item{width}{When \code{binaxis} is "y", the spacing of the dot stacks for dodging.} \item{na.rm}{If \code{FALSE} (the default), removes missing values with a warning. If \code{TRUE} silently removes missing values.} \item{drop}{If TRUE, remove all bins with zero counts} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{geom}{The geometric object to use display the data} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \value{ New data frame with additional columns: \item{x}{center of each bin, if binaxis is "x"} \item{y}{center of each bin, if binaxis is "x"} \item{binwidth}{max width of each bin if method is "dotdensity"; width of each bin if method is "histodot"} \item{count}{number of points in bin} \item{ncount}{count, scaled to maximum of 1} \item{density}{density of points in bin, scaled to integrate to 1, if method is "histodot"} \item{ndensity}{density, scaled to maximum of 1, if method is "histodot"} } \description{ Missing values are currently silently dropped. If weights are used, they must be integer values. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "bindot")} } \examples{ # See geom_dotplot for examples } \seealso{ See \code{\link{geom_dotplot}} for examples. } ggplot2/man/update_element.Rd0000644000175100001440000000201112114160774015700 0ustar hornikusers\name{update_element} \alias{update_element} \title{Update theme param} \usage{ update_element(name, ...) } \arguments{ \item{name}{name of a theme element} \item{...}{Pairs of name and value of theme parameters.} } \value{ Updated theme element } \description{ Update contents of a theme. (Deprecated) } \details{ This function is deprecated. Use \code{\link{\%+replace\%}} or \code{\link{+.gg}} instead. } \examples{ \dontrun{ x <- element_text(size = 15) update_element(x, colour = "red") # Partial matching works update_element(x, col = "red") # So does positional update_element(x, "Times New Roman") # And it throws an error if you use an argument that doesn't exist update_element(x, noargument = 12) # Or multiple arguments with the same name update_element(x, size = 12, size = 15) # Will look up element if given name update_element("axis.text.x", colour = 20) # Throws error if incorrectly named update_element("axis.text", colour = 20) } } \seealso{ \code{\link{\%+replace\%}} and \code{\link{+.gg}} } ggplot2/man/position_dodge.Rd0000644000175100001440000000263412114161113015712 0ustar hornikusers\name{position_dodge} \alias{position_dodge} \title{Adjust position by dodging overlaps to the side.} \usage{ position_dodge(width = NULL, height = NULL) } \arguments{ \item{width}{Manually specify width (does not affect all position adjustments)} \item{height}{Manually specify height (does not affect all position adjustments)} } \description{ Adjust position by dodging overlaps to the side. } \examples{ \donttest{ ggplot(mtcars, aes(x=factor(cyl), fill=factor(vs))) + geom_bar(position="dodge") ggplot(diamonds, aes(x=price, fill=cut)) + geom_bar(position="dodge") # see ?geom_boxplot and ?geom_bar for more examples # Dodging things with different widths is tricky df <- data.frame(x=c("a","a","b","b"), y=1:4, g = rep(1:2, 2)) (p <- qplot(x, y, data=df, group=g, position="dodge", geom="bar", stat="identity")) p + geom_linerange(aes(ymin = y-1, ymax = y+1), position="dodge") # You need to explicitly specify the width for dodging p + geom_linerange(aes(ymin = y-1, ymax = y+1), position = position_dodge(width = 0.9)) # Similarly with error bars: p + geom_errorbar(aes(ymin = y-1, ymax = y+1), width = 0.2, position="dodge") p + geom_errorbar(aes(ymin = y-1, ymax = y+1, width = 0.2), position = position_dodge(width = 0.90)) } } \seealso{ Other position adjustments: \code{\link{position_fill}}, \code{\link{position_identity}}, \code{\link{position_jitter}}, \code{\link{position_stack}} } ggplot2/man/facet.Rd0000644000175100001440000000051012114160774013771 0ustar hornikusers\name{facet} \alias{facet} \title{Facet specification.} \usage{ facet(..., shrink = TRUE, subclass = c()) } \arguments{ \item{...}{object fields} \item{shrink}{shrink scales to fit output of statistics, not raw data} } \description{ Create new facetting specification. For internal use only. } \keyword{internal} ggplot2/man/midwest.Rd0000644000175100001440000000215412114160774014371 0ustar hornikusers\docType{data} \name{midwest} \alias{midwest} \title{Midwest demographics.} \format{A data frame with 437 rows and 28 variables} \description{ Demographic information of midwest counties } \details{ The variables are as follows: \itemize{ \item PID \item county \item state \item area \item poptotal. Total population \item popdensity. Population density \item popwhite. Number of whites. \item popblack. Number of blacks. \item popamerindian. Number of American Indians. \item popasian. Number of Asians. \item popother. Number of other races. \item percwhite. Percent white. \item percblack. Percent black. \item percamerindan. Percent American Indian. \item percasian. Percent Asian. \item percother. Percent other races. \item popadults. Number of adults. \item perchsd. \item percollege. Percent college educated. \item percprof. Percent profession. \item poppovertyknown. \item percpovertyknown \item percbelowpoverty \item percchildbelowpovert \item percadultpoverty \item percelderlypoverty \item inmetro. In a metro area. \item category' } } \keyword{datasets} ggplot2/man/annotation_map.Rd0000644000175100001440000000166712114160774015734 0ustar hornikusers\name{annotation_map} \alias{annotation_map} \title{Annotation: maps.} \usage{ annotation_map(map, ...) } \arguments{ \item{map}{data frame representing a map. Most map objects can be converted into the right format by using \code{\link{fortify}}} \item{...}{other arguments used to modify aesthetics} } \description{ Annotation: maps. } \examples{ library(maps) usamap <- map_data("state") seal.sub <- subset(seals, long > -130 & lat < 45 & lat > 40) ggplot(seal.sub, aes(x = long, y = lat)) + annotation_map(usamap, fill = "NA", colour = "grey50") + geom_segment(aes(xend = long + delta_long, yend = lat + delta_lat)) seal2 <- transform(seal.sub, latr = cut(lat, 2), longr = cut(long, 2)) ggplot(seal2, aes(x = long, y = lat)) + annotation_map(usamap, fill = "NA", colour = "grey50") + geom_segment(aes(xend = long + delta_long, yend = lat + delta_lat)) + facet_grid(latr ~ longr, scales = "free", space = "free") } ggplot2/man/presidential.Rd0000644000175100001440000000052112114160774015374 0ustar hornikusers\docType{data} \name{presidential} \alias{presidential} \title{Terms of 10 presidents from Eisenhower to Bush W.} \format{A data frame with 10 rows and 4 variables} \description{ The names of each president, the start and end date of their term, and their party of 10 US presidents from Eisenhower to Bush W. } \keyword{datasets} ggplot2/man/geom_abline.Rd0000644000175100001440000000600512114160774015155 0ustar hornikusers\name{geom_abline} \alias{geom_abline} \title{Line specified by slope and intercept.} \usage{ geom_abline(mapping = NULL, data = NULL, stat = "abline", position = "identity", show_guide = FALSE, ...) } \arguments{ \item{show_guide}{should a legend be drawn? (defaults to \code{FALSE})} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ The abline geom adds a line with specified slope and intercept to the plot. } \details{ With its siblings \code{geom_hline} and \code{geom_vline}, it's useful for annotating plots. You can supply the parameters for geom_abline, intercept and slope, in two ways: either explicitly as fixed values, or in a data frame. If you specify the fixed values (\code{geom_abline(intercept=0, slope=1)}) then the line will be the same in all panels. If the intercept and slope are stored in the data, then they can vary from panel to panel. See the examples for more ideas. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "abline")} } \examples{ p <- qplot(wt, mpg, data = mtcars) # Fixed slopes and intercepts p + geom_abline() # Can't see it - outside the range of the data p + geom_abline(intercept = 20) # Calculate slope and intercept of line of best fit coef(lm(mpg ~ wt, data = mtcars)) p + geom_abline(intercept = 37, slope = -5) p + geom_abline(intercept = 10, colour = "red", size = 2) # See ?stat_smooth for fitting smooth models to data p + stat_smooth(method="lm", se=FALSE) # Slopes and intercepts as data p <- ggplot(mtcars, aes(x = wt, y=mpg), . ~ cyl) + geom_point() df <- data.frame(a=rnorm(10, 25), b=rnorm(10, 0)) p + geom_abline(aes(intercept=a, slope=b), data=df) # Slopes and intercepts from linear model library(plyr) coefs <- ddply(mtcars, .(cyl), function(df) { m <- lm(mpg ~ wt, data=df) data.frame(a = coef(m)[1], b = coef(m)[2]) }) str(coefs) p + geom_abline(data=coefs, aes(intercept=a, slope=b)) # It's actually a bit easier to do this with stat_smooth p + geom_smooth(aes(group=cyl), method="lm") p + geom_smooth(aes(group=cyl), method="lm", fullrange=TRUE) # With coordinate transforms p + geom_abline(intercept = 37, slope = -5) + coord_flip() p + geom_abline(intercept = 37, slope = -5) + coord_polar() } \seealso{ \code{\link{stat_smooth}} to add lines derived from the data, \code{\link{geom_hline}} for horizontal lines, \code{\link{geom_vline}} for vertical lines \code{\link{geom_segment}} } ggplot2/man/cut_number.Rd0000644000175100001440000000074612114160774015065 0ustar hornikusers\name{cut_number} \alias{cut_number} \title{Cut numeric vector into intervals containing equal number of points.} \usage{ cut_number(x, n = NULL, ...) } \arguments{ \item{x}{numeric vector} \item{n}{number of intervals to create} \item{...}{other arguments passed on to \code{\link{cut}}} } \description{ Cut numeric vector into intervals containing equal number of points. } \examples{ table(cut_number(runif(1000), n = 10)) } \seealso{ \code{\link{cut_interval}} } ggplot2/man/stat_sum.Rd0000644000175100001440000000461612114160774014561 0ustar hornikusers\name{stat_sum} \alias{stat_sum} \title{Sum unique values. Useful for overplotting on scatterplots.} \usage{ stat_sum(mapping = NULL, data = NULL, geom = "point", position = "identity", ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{geom}{The geometric object to use display the data} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \value{ a data.frame with additional columns \item{n}{number of observations at position} \item{prop}{percent of points in that panel at that position} } \description{ Sum unique values. Useful for overplotting on scatterplots. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "sum")} } \examples{ \donttest{ d <- ggplot(diamonds, aes(x = cut, y = clarity)) # By default, all categorical variables in the plot form grouping # variables, and the default behavior in stat_sum is to show the # proportion. Specifying stat_sum with no group identifier leads to # a plot which is not meaningful: d + stat_sum() # To correct this problem and achieve a more desirable plot, we need # to specify which group the proportion is to be calculated over. # There are several ways to do this: # by overall proportion d + stat_sum(aes(group = 1)) d + stat_sum(aes(group = 1)) + scale_size(range = c(3, 10)) d + stat_sum(aes(group = 1)) + scale_area(range = c(3, 10)) # by cut d + stat_sum(aes(group = cut)) d + stat_sum(aes(group = cut, colour = cut)) # by clarity d + stat_sum(aes(group = clarity)) d + stat_sum(aes(group = clarity, colour = cut)) # Instead of proportions, can also use sums d + stat_sum(aes(size = ..n..)) # Can also weight by another variable d + stat_sum(aes(group = 1, weight = price)) d + stat_sum(aes(group = 1, weight = price, size = ..n..)) # Or using qplot qplot(cut, clarity, data = diamonds) qplot(cut, clarity, data = diamonds, stat = "sum", group = 1) } } \seealso{ \code{\link{ggfluctuation}} for a fluctuation diagram, } ggplot2/man/geom_histogram.Rd0000644000175100001440000001222512114160774015721 0ustar hornikusers\name{geom_histogram} \alias{geom_histogram} \title{Histogram} \usage{ geom_histogram(mapping = NULL, data = NULL, stat = "bin", position = "stack", ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ \code{geom_histogram} is an alias for \code{\link{geom_bar}} plus \code{\link{stat_bin}} so you will need to look at the documentation for those objects to get more information about the parameters. } \details{ By default, \code{stat_bin} uses 30 bins - this is not a good default, but the idea is to get you experimenting with different binwidths. You may need to look at a few to uncover the full story behind your data. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "histogram")} } \examples{ \donttest{ set.seed(5689) movies <- movies[sample(nrow(movies), 1000), ] # Simple examples qplot(rating, data=movies, geom="histogram") qplot(rating, data=movies, weight=votes, geom="histogram") qplot(rating, data=movies, weight=votes, geom="histogram", binwidth=1) qplot(rating, data=movies, weight=votes, geom="histogram", binwidth=0.1) # More complex m <- ggplot(movies, aes(x=rating)) m + geom_histogram() m + geom_histogram(aes(y = ..density..)) + geom_density() m + geom_histogram(binwidth = 1) m + geom_histogram(binwidth = 0.5) m + geom_histogram(binwidth = 0.1) # Add aesthetic mappings m + geom_histogram(aes(weight = votes)) m + geom_histogram(aes(y = ..count..)) m + geom_histogram(aes(fill = ..count..)) # Change scales m + geom_histogram(aes(fill = ..count..)) + scale_fill_gradient("Count", low = "green", high = "red") # Often we don't want the height of the bar to represent the # count of observations, but the sum of some other variable. # For example, the following plot shows the number of movies # in each rating. qplot(rating, data=movies, geom="bar", binwidth = 0.1) # If, however, we want to see the number of votes cast in each # category, we need to weight by the votes variable qplot(rating, data=movies, geom="bar", binwidth = 0.1, weight=votes, ylab = "votes") m <- ggplot(movies, aes(x = votes)) # For transformed scales, binwidth applies to the transformed data. # The bins have constant width on the transformed scale. m + geom_histogram() + scale_x_log10() m + geom_histogram(binwidth = 1) + scale_x_log10() m + geom_histogram() + scale_x_sqrt() m + geom_histogram(binwidth = 10) + scale_x_sqrt() # For transformed coordinate systems, the binwidth applies to the # raw data. The bins have constant width on the original scale. # Using log scales does not work here, because the first # bar is anchored at zero, and so when transformed becomes negative # infinity. This is not a problem when transforming the scales, because # no observations have 0 ratings. m + geom_histogram(origin = 0) + coord_trans(x = "log10") # Use origin = 0, to make sure we don't take sqrt of negative values m + geom_histogram(origin = 0) + coord_trans(x = "sqrt") m + geom_histogram(origin = 0, binwidth = 1000) + coord_trans(x = "sqrt") # You can also transform the y axis. Remember that the base of the bars # has value 0, so log transformations are not appropriate m <- ggplot(movies, aes(x = rating)) m + geom_histogram(binwidth = 0.5) + scale_y_sqrt() m + geom_histogram(binwidth = 0.5) + scale_y_reverse() # Set aesthetics to fixed value m + geom_histogram(colour = "darkgreen", fill = "white", binwidth = 0.5) # Use facets m <- m + geom_histogram(binwidth = 0.5) m + facet_grid(Action ~ Comedy) # Often more useful to use density on the y axis when facetting m <- m + aes(y = ..density..) m + facet_grid(Action ~ Comedy) m + facet_wrap(~ mpaa) # Multiple histograms on the same graph # see ?position, ?position_fill, etc for more details. set.seed(6298) diamonds_small <- diamonds[sample(nrow(diamonds), 1000), ] ggplot(diamonds_small, aes(x=price)) + geom_bar() hist_cut <- ggplot(diamonds_small, aes(x=price, fill=cut)) hist_cut + geom_bar() # defaults to stacking hist_cut + geom_bar(position="fill") hist_cut + geom_bar(position="dodge") # This is easy in ggplot2, but not visually effective. It's better # to use a frequency polygon or density plot. Like this: ggplot(diamonds_small, aes(price, ..density.., colour = cut)) + geom_freqpoly(binwidth = 1000) # Or this: ggplot(diamonds_small, aes(price, colour = cut)) + geom_density() # Or if you want to be fancy, maybe even this: ggplot(diamonds_small, aes(price, fill = cut)) + geom_density(alpha = 0.2) # Which looks better when the distributions are more distinct ggplot(diamonds_small, aes(depth, fill = cut)) + geom_density(alpha = 0.2) + xlim(55, 70) } } ggplot2/man/stat_summary_hex.Rd0000644000175100001440000000340712114160774016313 0ustar hornikusers\name{stat_summary_hex} \alias{stat_summary_hex} \title{Apply funciton for 2D hexagonal bins.} \usage{ stat_summary_hex(mapping = NULL, data = NULL, geom = "hex", position = "identity", bins = 30, drop = TRUE, fun = mean, ...) } \arguments{ \item{bins}{see \code{\link{stat_binhex}}} \item{drop}{drop if the output of \code{fun} is \code{NA}.} \item{fun}{function for summary.} \item{...}{parameters passed to \code{fun}} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{geom}{The geometric object to use display the data} \item{position}{The position adjustment to use for overlappling points on this layer} } \description{ Apply function for 2D hexagonal bins. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "summaryhex")} \code{stat_summary2d} is hexagonal version of \code{\link{stat_summary}}. The data are devided by \code{x} and \code{y}. \code{z} in each cell is passed to arbitral summary function. \code{stat_summary-hex} requires the following aesthetics: \itemize{ \item \code{x}: horizontal position \item \code{y}: vertical position \item \code{z}: value passed to the summary function } } \examples{ d <- ggplot(diamonds, aes(carat, depth, z = price)) d + stat_summary_hex() # Specifying function d + stat_summary_hex(fun = function(x) sum(x^2)) d + stat_summary_hex(fun = var, na.rm = TRUE) } \seealso{ \code{\link{stat_summary2d}} for rectangular summarization. \code{\link{stat_bin2d}} for the hexagon-ing options. } ggplot2/man/guides.Rd0000644000175100001440000000315712114160774014201 0ustar hornikusers\name{guides} \alias{guides} \title{Set guides for each scale.} \usage{ guides(...) } \arguments{ \item{...}{List of scale guide pairs} } \value{ A list containing the mapping between scale and guide. } \description{ Guides for each scale can be set in call of \code{scale_*} with argument \code{guide}, or in \code{guides}. } \examples{ \donttest{ # ggplot object dat <- data.frame(x = 1:5, y = 1:5, p = 1:5, q = factor(1:5), r = factor(1:5)) p <- ggplot(dat, aes(x, y, colour = p, size = q, shape = r)) + geom_point() # without guide specification p # Show colorbar guide for colour. # All these examples below have a same effect. p + guides(colour = "colorbar", size = "legend", shape = "legend") p + guides(colour = guide_colorbar(), size = guide_legend(), shape = guide_legend()) p + scale_colour_continuous(guide = "colorbar") + scale_size_discrete(guide = "legend") + scale_shape(guide = "legend") # Guides are integrated where possible p + guides(colour = guide_legend("title"), size = guide_legend("title"), shape = guide_legend("title")) # same as g <- guide_legend("title") p + guides(colour = g, size = g, shape = g) p + theme(legend.position = "bottom") # position of guides p + theme(legend.position = "bottom", legend.box = "horizontal") # Set order for multiple guides qplot(data = mpg, x = displ, y = cty, size = hwy, colour = cyl, shape = drv) + guides(colour = guide_colourbar(order = 1), alpha = guide_legend(order = 2), size = guide_legend(order = 3)) } } \seealso{ Other guides: \code{\link{guide_colorbar}}, \code{\link{guide_colourbar}}, \code{\link{guide_legend}} } ggplot2/man/ggpcp.Rd0000644000175100001440000000176512114160774014024 0ustar hornikusers\name{ggpcp} \alias{ggpcp} \title{Make a parallel coordinates plot.} \usage{ ggpcp(data, vars = names(data), ...) } \arguments{ \item{data}{data frame} \item{vars}{variables to include in parallel coordinates plot} \item{...}{other arguments passed on plot creation} } \description{ One way to think about a parallel coordinates plot, is as plotting the data after it has been transformed to gain a new variable. This function does this using \code{\link[reshape2]{melt}}. } \details{ This gives us enormous flexibility as we have separated out the type of drawing (lines by tradition) and can now use any of the existing geom functions. In particular this makes it very easy to create parallel boxplots, as shown in the example. } \examples{ \dontrun{ ggpcp(mtcars) + geom_line() ggpcp(mtcars, vars=names(mtcars[2:6])) + geom_line() ggpcp(mtcars) + geom_boxplot(aes(group=variable)) p <- ggpcp(mtcars, vars=names(mtcars[2:6])) p + geom_line() p + geom_line(aes(colour=mpg)) } } ggplot2/man/scale_identity.Rd0000644000175100001440000000300412114160774015710 0ustar hornikusers\name{scale_identity} \alias{scale_alpha_identity} \alias{scale_color_identity} \alias{scale_colour_identity} \alias{scale_fill_identity} \alias{scale_identity} \alias{scale_linetype_identity} \alias{scale_shape_identity} \alias{scale_size_identity} \title{Use values without scaling.} \usage{ scale_colour_identity(..., guide = "none") scale_fill_identity(..., guide = "none") scale_shape_identity(..., guide = "none") scale_linetype_identity(..., guide = "none") scale_alpha_identity(..., guide = "none") scale_size_identity(..., guide = "none") scale_color_identity(..., guide = "none") } \arguments{ \item{...}{Other arguments passed on to \code{\link{discrete_scale}} or \code{\link{continuous_scale}}} \item{guide}{Guide to use for this scale - defaults to \code{"none"}.} } \description{ Use values without scaling. } \examples{ colour <- c("red", "green", "blue", "yellow") qplot(1:4, 1:4, fill = colour, geom = "tile") qplot(1:4, 1:4, fill = colour, geom = "tile") + scale_fill_identity() # To get a legend guide, specify guide = "legend" qplot(1:4, 1:4, fill = colour, geom = "tile") + scale_fill_identity(guide = "legend") # But you'll typically also need to supply breaks and labels: qplot(1:4, 1:4, fill = colour, geom = "tile") + scale_fill_identity("trt", labels = letters[1:4], breaks = colour, guide = "legend") # cyl scaled to appropriate size qplot(mpg, wt, data = mtcars, size = cyl) # cyl used as point size qplot(mpg, wt, data = mtcars, size = cyl) + scale_size_identity() } ggplot2/man/stat_binhex.Rd0000644000175100001440000000351112114160774015223 0ustar hornikusers\name{stat_binhex} \alias{stat_binhex} \title{Bin 2d plane into hexagons.} \usage{ stat_binhex(mapping = NULL, data = NULL, geom = "hex", position = "identity", bins = 30, na.rm = FALSE, ...) } \arguments{ \item{bins}{numeric vector specifying number of bins in both x and y directions. Set to 30 by default.} \item{na.rm}{If \code{FALSE} (the default), removes missing values with a warning. If \code{TRUE} silently removes missing values.} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{geom}{The geometric object to use display the data} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ Bin 2d plane into hexagons. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "binhex")} } \examples{ \donttest{ d <- ggplot(diamonds, aes(carat, price)) d + stat_binhex() d + geom_hex() # You can control the size of the bins by specifying the number of # bins in each direction: d + stat_binhex(bins = 10) d + stat_binhex(bins = 30) # Or by specifying the width of the bins d + stat_binhex(binwidth = c(1, 1000)) d + stat_binhex(binwidth = c(.1, 500)) # With qplot qplot(x, y, data = diamonds, geom="hex", xlim = c(4, 10), ylim = c(4, 10)) qplot(x, y, data = diamonds, geom="hex", xlim = c(4, 10), ylim = c(4, 10), binwidth = c(0.1, 0.1)) } } \seealso{ \code{\link{stat_bin2d}} for rectangular binning } ggplot2/man/annotate.Rd0000644000175100001440000000307412114160774014530 0ustar hornikusers\name{annotate} \alias{annotate} \title{Create an annotation layer.} \usage{ annotate(geom, x = NULL, y = NULL, xmin = NULL, xmax = NULL, ymin = NULL, ymax = NULL, ...) } \arguments{ \item{geom}{name of geom to use for annotation} \item{x,y,xmin,ymin,xmax,ymax}{positionining aesthetics - you must specify at least one of these.} \item{...}{other aesthetics. These are not scaled so you can do (e.g.) \code{colour = "red"} to get a red point.} } \description{ This function adds geoms to a plot. Unlike typical a geom function, the properties of the geoms are not mapped from variables of a data frame, but are instead in as vectors. This is useful for adding small annotations (such as text labels) or if you have your data in vectors, and for some reason don't want to put them in a data frame. } \details{ Note that all position aesthetics are scaled (i.e. they will expand the limits of the plot so they are visible), but all other aesthetics are set. This means that layers created with this function will never affect the legend. } \examples{ p <- ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point() p + annotate("text", x = 4, y = 25, label = "Some text") p + annotate("text", x = 2:5, y = 25, label = "Some text") p + annotate("rect", xmin = 3, xmax = 4.2, ymin = 12, ymax = 21, alpha = .2) p + annotate("segment", x = 2.5, xend = 4, y = 15, yend = 25, colour = "blue") p + annotate("pointrange", x = 3.5, y = 20, ymin = 12, ymax = 28, colour = "red", size = 1.5) p + annotate("text", x = 2:3, y = 20:21, label = c("my label", "label 2")) } ggplot2/man/scale_date.Rd0000644000175100001440000000751512114160774015007 0ustar hornikusers\name{scale_x_date} \alias{scale_x_date} \alias{scale_y_date} \title{Position scale, date} \usage{ scale_x_date(..., expand = waiver(), breaks = pretty_breaks(), minor_breaks = waiver()) scale_y_date(..., expand = waiver(), breaks = pretty_breaks(), minor_breaks = waiver()) } \arguments{ \item{breaks}{A vector of breaks, a function that given the scale limits returns a vector of breaks, or a character vector, specifying the width between breaks. For more information about the first two, see \code{\link{continuous_scale}}, for more information about the last, see \code{\link[scales]{date_breaks}}`.} \item{minor_breaks}{Either \code{NULL} for no minor breaks, \code{waiver()} for the default breaks (one minor break between each major break), a numeric vector of positions, or a function that given the limits returns a vector of minor breaks.} \item{...}{common continuous scale parameters: \code{name}, \code{breaks}, \code{labels}, \code{na.value}, \code{limits} and \code{trans}. See \code{\link{continuous_scale}} for more details} \item{expand}{a numeric vector of length two giving multiplicative and additive expansion constants. These constants ensure that the data is placed some distance away from the axes.} } \description{ Position scale, date } \examples{ # We'll start by creating some nonsense data with dates df <- data.frame( date = seq(Sys.Date(), len=100, by="1 day")[sample(100, 50)], price = runif(50) ) df <- df[order(df$date), ] dt <- qplot(date, price, data=df, geom="line") + theme(aspect.ratio = 1/4) # We can control the format of the labels, and the frequency of # the major and minor tickmarks. See ?format.Date and ?seq.Date # for more details. library(scales) # to access breaks/formatting functions dt + scale_x_date() dt + scale_x_date(labels = date_format("\%m/\%d")) dt + scale_x_date(labels = date_format("\%W")) dt + scale_x_date(labels = date_format("\%W"), breaks = date_breaks("week")) dt + scale_x_date(breaks = date_breaks("months"), labels = date_format("\%b")) dt + scale_x_date(breaks = date_breaks("4 weeks"), labels = date_format("\%d-\%b")) # We can use character string for breaks. # See \\code{\\link{by}} argument in \\code{\\link{seq.Date}}. dt + scale_x_date(breaks = "2 weeks") dt + scale_x_date(breaks = "1 month", minor_breaks = "1 week") # The date scale will attempt to pick sensible defaults for # major and minor tick marks qplot(date, price, data=df[1:10,], geom="line") qplot(date, price, data=df[1:4,], geom="line") df <- data.frame( date = seq(Sys.Date(), len=1000, by="1 day"), price = runif(500) ) qplot(date, price, data=df, geom="line") # A real example using economic time series data qplot(date, psavert, data=economics) qplot(date, psavert, data=economics, geom="path") end <- max(economics$date) last_plot() + scale_x_date(limits = c(as.Date("2000-1-1"), end)) last_plot() + scale_x_date(limits = c(as.Date("2005-1-1"), end)) last_plot() + scale_x_date(limits = c(as.Date("2006-1-1"), end)) # If we want to display multiple series, one for each variable # it's easiest to first change the data from a "wide" to a "long" # format: library(reshape2) # for melt em <- melt(economics, id = "date") # Then we can group and facet by the new "variable" variable qplot(date, value, data = em, geom = "line", group = variable) qplot(date, value, data = em, geom = "line", group = variable) + facet_grid(variable ~ ., scale = "free_y") } \seealso{ Other position scales: \code{\link{scale_x_continuous}}, \code{\link{scale_x_datetime}}, \code{\link{scale_x_discrete}}, \code{\link{scale_x_log10}}, \code{\link{scale_x_reverse}}, \code{\link{scale_x_sqrt}}, \code{\link{scale_y_continuous}}, \code{\link{scale_y_datetime}}, \code{\link{scale_y_discrete}}, \code{\link{scale_y_log10}}, \code{\link{scale_y_reverse}}, \code{\link{scale_y_sqrt}} } ggplot2/man/stat_identity.Rd0000644000175100001440000000220012114161113015555 0ustar hornikusers\name{stat_identity} \alias{stat_identity} \title{Identity statistic.} \usage{ stat_identity(mapping = NULL, data = NULL, geom = "point", position = "identity", width = NULL, height = NULL, ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{geom}{The geometric object to use display the data} \item{position}{The position adjustment to use for overlappling points on this layer} \item{width}{The width of the tiles.} \item{height}{The height of the tiles.} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ Identity statistic. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "identity")} } \examples{ # Doesn't do anything, so hard to come up a useful example } ggplot2/man/geom_crossbar.Rd0000644000175100001440000000267412114160774015551 0ustar hornikusers\name{geom_crossbar} \alias{geom_crossbar} \title{Hollow bar with middle indicated by horizontal line.} \usage{ geom_crossbar(mapping = NULL, data = NULL, stat = "identity", position = "identity", fatten = 2, ...) } \arguments{ \item{fatten}{a multiplicate factor to fatten middle bar by} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ Hollow bar with middle indicated by horizontal line. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "crossbar")} } \examples{ # See geom_linerange for examples } \seealso{ \code{\link{geom_errorbar}} for error bars, \code{\link{geom_pointrange}} and \code{\link{geom_linerange}} for other ways of showing mean + error, \code{\link{stat_summary}} to compute errors from the data, \code{\link{geom_smooth}} for the continuous analog. } ggplot2/man/qplot.Rd0000644000175100001440000000567412114161113014052 0ustar hornikusers\name{qplot} \alias{qplot} \alias{quickplot} \title{Quick plot} \usage{ qplot(x, y = NULL, ..., data, facets = NULL, margins = FALSE, geom = "auto", stat = list(NULL), position = list(NULL), xlim = c(NA, NA), ylim = c(NA, NA), log = "", main = NULL, xlab = deparse(substitute(x)), ylab = deparse(substitute(y)), asp = NA) } \arguments{ \item{x}{x values} \item{y}{y values} \item{...}{other aesthetics passed for each layer} \item{data}{data frame to use (optional). If not specified, will create one, extracting vectors from the current environment.} \item{facets}{faceting formula to use. Picks \code{\link{facet_wrap}} or \code{\link{facet_grid}} depending on whether the formula is one sided or two-sided} \item{margins}{whether or not margins will be displayed} \item{geom}{character vector specifying geom to use. Defaults to "point" if x and y are specified, and "histogram" if only x is specified.} \item{stat}{character vector specifying statistics to use} \item{position}{character vector giving position adjustment to use} \item{xlim}{limits for x axis} \item{ylim}{limits for y axis} \item{log}{which variables to log transform ("x", "y", or "xy")} \item{main}{character vector or expression for plot title} \item{xlab}{character vector or expression for x axis label} \item{ylab}{character vector or expression for y axis label} \item{asp}{the y/x aspect ratio} } \description{ \code{qplot} is the basic plotting function in the ggplot2 package, designed to be familiar if you're used to \code{\link{plot}} from the base package. It is a convenient wrapper for creating a number of different types of plots using a consistent calling scheme. See \url{http://had.co.nz/ggplot2/book/qplot.pdf} for the chapter in the \code{ggplot2} book which describes the usage of \code{qplot} in detail. } \examples{ \donttest{ # Use data from data.frame qplot(mpg, wt, data=mtcars) qplot(mpg, wt, data=mtcars, colour=cyl) qplot(mpg, wt, data=mtcars, size=cyl) qplot(mpg, wt, data=mtcars, facets=vs ~ am) # It will use data from local environment hp <- mtcars$hp wt <- mtcars$wt cyl <- mtcars$cyl vs <- mtcars$vs am <- mtcars$am qplot(hp, wt) qplot(hp, wt, colour=cyl) qplot(hp, wt, size=cyl) qplot(hp, wt, facets=vs ~ am) qplot(1:10, rnorm(10), colour = runif(10)) qplot(1:10, letters[1:10]) mod <- lm(mpg ~ wt, data=mtcars) qplot(resid(mod), fitted(mod)) qplot(resid(mod), fitted(mod), facets = . ~ vs) f <- function() { a <- 1:10 b <- a ^ 2 qplot(a, b) } f() # qplot will attempt to guess what geom you want depending on the input # both x and y supplied = scatterplot qplot(mpg, wt, data = mtcars) # just x supplied = histogram qplot(mpg, data = mtcars) # just y supplied = scatterplot, with x = seq_along(y) qplot(y = mpg, data = mtcars) # Use different geoms qplot(mpg, wt, data = mtcars, geom="path") qplot(factor(cyl), wt, data = mtcars, geom=c("boxplot", "jitter")) } } ggplot2/man/update_defaults.Rd0000644000175100001440000000105212114160774016062 0ustar hornikusers\name{update_geom_defaults} \alias{update_geom_defaults} \alias{update_stat_defaults} \title{Modify geom/stat aesthetic defaults for future plots} \usage{ update_geom_defaults(geom, new) update_stat_defaults(stat, new) } \arguments{ \item{stat,geom}{name of geom/stat to modify} \item{new}{named list of aesthetics} } \description{ Modify geom/stat aesthetic defaults for future plots } \examples{ update_geom_defaults("point", list(colour = "darkblue")) qplot(mpg, wt, data = mtcars) update_geom_defaults("point", list(colour = "black")) } ggplot2/man/geom_smooth.Rd0000644000175100001440000000367212114160774015243 0ustar hornikusers\name{geom_smooth} \alias{geom_smooth} \title{Add a smoothed conditional mean.} \usage{ geom_smooth(mapping = NULL, data = NULL, stat = "smooth", position = "identity", ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ Add a smoothed conditional mean. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "smooth")} } \examples{ # See stat_smooth for examples of using built in model fitting # if you need some more flexible, this example shows you how to # plot the fits from any model of your choosing qplot(wt, mpg, data=mtcars, colour=factor(cyl)) model <- lm(mpg ~ wt + factor(cyl), data=mtcars) grid <- with(mtcars, expand.grid( wt = seq(min(wt), max(wt), length = 20), cyl = levels(factor(cyl)) )) grid$mpg <- stats::predict(model, newdata=grid) qplot(wt, mpg, data=mtcars, colour=factor(cyl)) + geom_line(data=grid) # or with standard errors err <- stats::predict(model, newdata=grid, se = TRUE) grid$ucl <- err$fit + 1.96 * err$se.fit grid$lcl <- err$fit - 1.96 * err$se.fit qplot(wt, mpg, data=mtcars, colour=factor(cyl)) + geom_smooth(aes(ymin = lcl, ymax = ucl), data=grid, stat="identity") } \seealso{ The default stat for this geom is \code{\link{stat_smooth}} see that documentation for more options to control the underlying statistical transformation. } ggplot2/man/element_text.Rd0000644000175100001440000000124212114160774015407 0ustar hornikusers\name{element_text} \alias{element_text} \title{Theme element: text.} \usage{ element_text(family = NULL, face = NULL, colour = NULL, size = NULL, hjust = NULL, vjust = NULL, angle = NULL, lineheight = NULL, color = NULL) } \arguments{ \item{family}{font family} \item{face}{font face ("plain", "italic", "bold", "bold.italic")} \item{colour}{text colour} \item{size}{text size (in pts)} \item{hjust}{horizontal justification (in [0, 1])} \item{vjust}{vertical justification (in [0, 1])} \item{angle}{angle (in [0, 360])} \item{lineheight}{line height} \item{color}{an alias for \code{colour}} } \description{ Theme element: text. } ggplot2/man/fortify.map.Rd0000644000175100001440000000136212114160774015153 0ustar hornikusers\name{fortify.map} \alias{fortify.map} \title{Fortify method for map objects.} \usage{ \method{fortify}{map} (model, data, ...) } \arguments{ \item{model}{map object} \item{data}{not used by this method} \item{...}{not used by this method} } \description{ This function turns a map into a data frame that can more easily be plotted with ggplot2. } \examples{ if (require("maps")) { ca <- map("county", "ca", plot = FALSE, fill = TRUE) head(fortify(ca)) qplot(long, lat, data = ca, geom = "polygon", group = group) tx <- map("county", "texas", plot = FALSE, fill = TRUE) head(fortify(tx)) qplot(long, lat, data = tx, geom = "polygon", group = group, colour = I("white")) } } \seealso{ \code{\link{map_data}} and \code{\link{borders}} } ggplot2/man/label_both.Rd0000644000175100001440000000103712114160774015007 0ustar hornikusers\name{label_both} \alias{label_both} \title{Label facets with value and variable.} \usage{ label_both(variable, value) } \arguments{ \item{variable}{variable name passed in by facetter} \item{value}{variable value passed in by facetter} } \description{ Label facets with value and variable. } \examples{ p <- qplot(wt, mpg, data = mtcars) p + facet_grid(. ~ cyl) p + facet_grid(. ~ cyl, labeller = label_both) } \seealso{ Other facet labellers: \code{\link{label_bquote}}, \code{\link{label_parsed}}, \code{\link{label_value}} } ggplot2/man/add_theme.Rd0000644000175100001440000000065012114160774014626 0ustar hornikusers\name{add_theme} \alias{add_theme} \title{Modify properties of an element in a theme object} \usage{ add_theme(t1, t2, t2name) } \arguments{ \item{t1}{A theme object} \item{t2}{A theme object that is to be added to \code{t1}} \item{t2name}{A name of the t2 object. This is used for printing informative error messages.} } \description{ Modify properties of an element in a theme object } \seealso{ +.gg } ggplot2/man/aes_auto.Rd0000644000175100001440000000112412114160774014511 0ustar hornikusers\name{aes_auto} \alias{aes_auto} \title{Automatic aesthetic mapping} \usage{ aes_auto(data = NULL, ...) } \arguments{ \item{data}{data.frame or names of variables} \item{...}{aesthetics that need to be explicitly mapped.} } \description{ Automatic aesthetic mapping } \examples{ df <- data.frame(x = 1, y = 1, colour = 1, label = 1, pch = 1) aes_auto(df) aes_auto(names(df)) df <- data.frame(xp = 1, y = 1, colour = 1, txt = 1, foo = 1) aes_auto(df, x = xp, label = txt) aes_auto(names(df), x = xp, label = txt) df <- data.frame(foo = 1:3) aes_auto(df, x = xp, y = yp) aes_auto(df) } ggplot2/man/stat_bin.Rd0000644000175100001440000000500412114160774014515 0ustar hornikusers\name{stat_bin} \alias{stat_bin} \title{Bin data.} \usage{ stat_bin(mapping = NULL, data = NULL, geom = "bar", position = "stack", width = 0.9, drop = FALSE, right = FALSE, binwidth = NULL, origin = NULL, breaks = NULL, ...) } \arguments{ \item{binwidth}{Bin width to use. Defaults to 1/30 of the range of the data} \item{breaks}{Actual breaks to use. Overrides bin width and origin} \item{origin}{Origin of first bin} \item{width}{Width of bars when used with categorical data} \item{right}{If \code{TRUE}, right-closed, left-open, if \code{FALSE},} \item{drop}{If TRUE, remove all bins with zero counts} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{geom}{The geometric object to use display the data} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \value{ New data frame with additional columns: \item{count}{number of points in bin} \item{density}{density of points in bin, scaled to integrate to 1} \item{ncount}{count, scaled to maximum of 1} \item{ndensity}{density, scaled to maximum of 1} } \description{ Missing values are currently silently dropped. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "bin")} } \examples{ \donttest{ simple <- data.frame(x = rep(1:10, each = 2)) base <- ggplot(simple, aes(x)) # By default, right = TRUE, and intervals are of the form (a, b] base + stat_bin(binwidth = 1, drop = FALSE, right = TRUE, col = "black") # If right = FALSE intervals are of the form [a, b) base + stat_bin(binwidth = 1, drop = FALSE, right = FALSE, col = "black") m <- ggplot(movies, aes(x=rating)) m + stat_bin() m + stat_bin(binwidth=0.1) m + stat_bin(breaks=seq(4,6, by=0.1)) # See geom_histogram for more histogram examples # To create a unit area histogram, use aes(y = ..density..) (linehist <- m + stat_bin(aes(y = ..density..), binwidth=0.1, geom="line", position="identity")) linehist + stat_density(colour="blue", fill=NA) # Also works with categorical variables ggplot(movies, aes(x=mpaa)) + stat_bin() qplot(mpaa, data=movies, stat="bin") } } ggplot2/man/is.rel.Rd0000644000175100001440000000027612114160774014114 0ustar hornikusers\name{is.rel} \alias{is.rel} \title{Reports whether x is a rel object} \usage{ is.rel(x) } \arguments{ \item{x}{An object to test} } \description{ Reports whether x is a rel object } ggplot2/man/summary.ggplot.Rd0000644000175100001440000000064712114160774015712 0ustar hornikusers\name{summary.ggplot} \alias{summary.ggplot} \title{Displays a useful description of a ggplot object} \usage{ \method{summary}{ggplot} (object, ...) } \arguments{ \item{object}{ggplot2 object to summarise} \item{...}{other arguments ignored (for compatibility with generic)} } \description{ Displays a useful description of a ggplot object } \examples{ summary(qplot(mpg, wt, data=mtcars)) } \keyword{internal} ggplot2/man/ggsave.Rd0000644000175100001440000000376612114160774014203 0ustar hornikusers\name{ggsave} \alias{ggsave} \title{Save a ggplot with sensible defaults} \usage{ ggsave(filename = default_name(plot), plot = last_plot(), device = default_device(filename), path = NULL, scale = 1, width = par("din")[1], height = par("din")[2], units = c("in", "cm", "mm"), dpi = 300, limitsize = TRUE, ...) } \arguments{ \item{filename}{file name/filename of plot} \item{plot}{plot to save, defaults to last plot displayed} \item{device}{device to use, automatically extract from file name extension} \item{path}{path to save plot to (if you just want to set path and not filename)} \item{scale}{scaling factor} \item{width}{width (defaults to the width of current plotting window)} \item{height}{height (defaults to the height of current plotting window)} \item{units}{units for width and height when either one is explicitly specified (in, cm, or mm)} \item{dpi}{dpi to use for raster graphics} \item{limitsize}{when \code{TRUE} (the default), \code{ggsave} will not save images larger than 50x50 inches, to prevent the common error of specifying dimensions in pixels.} \item{...}{other arguments passed to graphics device} } \description{ ggsave is a convenient function for saving a plot. It defaults to saving the last plot that you displayed, and for a default size uses the size of the current graphics device. It also guesses the type of graphics device from the extension. This means the only argument you need to supply is the filename. } \details{ \code{ggsave} currently recognises the extensions eps/ps, tex (pictex), pdf, jpeg, tiff, png, bmp, svg and wmf (windows only). } \examples{ \donttest{ ratings <- qplot(rating, data=movies, geom="histogram") qplot(length, data=movies, geom="histogram") ggsave(file="length-hist.pdf") ggsave(file="length-hist.png") ggsave(ratings, file="ratings.pdf") ggsave(ratings, file="ratings.pdf", width=4, height=4) # make twice as big as on screen ggsave(ratings, file="ratings.pdf", scale=2) } } ggplot2/man/geom_step.Rd0000644000175100001440000000320612114160774014676 0ustar hornikusers\name{geom_step} \alias{geom_step} \title{Connect observations by stairs.} \usage{ geom_step(mapping = NULL, data = NULL, stat = "identity", position = "identity", direction = "hv", ...) } \arguments{ \item{direction}{direction of stairs: 'vh' for vertical then horizontal, or 'hv' for horizontal then vertical} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ Connect observations by stairs. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "step")} } \examples{ # Simple quantiles/ECDF from examples(plot) x <- sort(rnorm(47)) qplot(seq_along(x), x, geom="step") # Steps go horizontally, then vertically (default) qplot(seq_along(x), x, geom="step", direction = "hv") plot(x, type = "s") # Steps go vertically, then horizontally qplot(seq_along(x), x, geom="step", direction = "vh") plot(x, type = "S") # Also works with other aesthetics df <- data.frame( x = sort(rnorm(50)), trt = sample(c("a", "b"), 50, rep = TRUE) ) qplot(seq_along(x), x, data = df, geom="step", colour = trt) } ggplot2/man/scale_gradientn.Rd0000644000175100001440000000605312114160774016041 0ustar hornikusers\name{scale_colour_gradientn} \alias{scale_color_gradientn} \alias{scale_colour_gradientn} \alias{scale_fill_gradientn} \title{Smooth colour gradient between n colours} \usage{ scale_colour_gradientn(..., colours, values = NULL, space = "Lab", na.value = "grey50", guide = "colourbar") scale_fill_gradientn(..., colours, values = NULL, space = "Lab", na.value = "grey50", guide = "colourbar") scale_color_gradientn(..., colours, values = NULL, space = "Lab", na.value = "grey50", guide = "colourbar") } \arguments{ \item{guide}{Type of legend. Use \code{"colourbar"} for continuous colour bar, or \code{"legend"} for discrete colour legend.} \item{colours}{vector of colours} \item{values}{if colours should not be evenly positioned along the gradient this vector gives the position (between 0 and 1) for each colour in the \code{colours} vector. See \code{\link{rescale}} for a convience function to map an arbitrary range to between 0 and 1.} \item{space}{colour space in which to calculate gradient. "Lab" usually best unless gradient goes through white.} \item{...}{Other arguments passed on to \code{\link{discrete_scale}} to control name, limits, breaks, labels and so forth.} \item{na.value}{Colour to use for missing values} } \description{ Smooth colour gradient between n colours } \examples{ \donttest{ # scale_colour_gradient make it easy to use existing colour palettes dsub <- subset(diamonds, x > 5 & x < 6 & y > 5 & y < 6) dsub$diff <- with(dsub, sqrt(abs(x-y))* sign(x-y)) (d <- qplot(x, y, data=dsub, colour=diff)) d + scale_colour_gradientn(colours = rainbow(7)) breaks <- c(-0.5, 0, 0.5) d + scale_colour_gradientn(colours = rainbow(7), breaks = breaks, labels = format(breaks)) d + scale_colour_gradientn(colours = topo.colors(10)) d + scale_colour_gradientn(colours = terrain.colors(10)) # You can force them to be symmetric by supplying a vector of # values, and turning rescaling off max_val <- max(abs(dsub$diff)) values <- seq(-max_val, max_val, length = 11) d + scale_colour_gradientn(colours = topo.colors(10), values = values, rescaler = function(x, ...) x, oob = identity) d + scale_colour_gradientn(colours = terrain.colors(10), values = values, rescaler = function(x, ...) x, oob = identity) } } \seealso{ Other colour scales: \code{\link{scale_color_brewer}}, \code{\link{scale_color_continuous}}, \code{\link{scale_color_discrete}}, \code{\link{scale_color_gradient}}, \code{\link{scale_color_gradient2}}, \code{\link{scale_color_grey}}, \code{\link{scale_color_hue}}, \code{\link{scale_colour_brewer}}, \code{\link{scale_colour_continuous}}, \code{\link{scale_colour_discrete}}, \code{\link{scale_colour_gradient}}, \code{\link{scale_colour_gradient2}}, \code{\link{scale_colour_grey}}, \code{\link{scale_colour_hue}}, \code{\link{scale_fill_brewer}}, \code{\link{scale_fill_continuous}}, \code{\link{scale_fill_discrete}}, \code{\link{scale_fill_gradient}}, \code{\link{scale_fill_gradient2}}, \code{\link{scale_fill_grey}}, \code{\link{scale_fill_hue}} } ggplot2/man/geom_violin.Rd0000644000175100001440000000615112114160774015225 0ustar hornikusers\name{geom_violin} \alias{geom_violin} \title{Violin plot.} \usage{ geom_violin(mapping = NULL, data = NULL, stat = "ydensity", position = "dodge", trim = TRUE, scale = "area", ...) } \arguments{ \item{trim}{If \code{TRUE} (default), trim the tails of the violins to the range of the data. If \code{FALSE}, don't trim the tails.} \item{scale}{if "area" (default), all violins have the same area (before trimming the tails). If "count", areas are scaled proportionally to the number of observations. If "width", all violins have the same maximum width.} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ Violin plot. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "violin")} } \examples{ \donttest{ p <- ggplot(mtcars, aes(factor(cyl), mpg)) p + geom_violin() qplot(factor(cyl), mpg, data = mtcars, geom = "violin") p + geom_violin() + geom_jitter(height = 0) p + geom_violin() + coord_flip() qplot(factor(cyl), mpg, data = mtcars, geom = "violin") + coord_flip() # Scale maximum width proportional to sample size: p + geom_violin(scale = "count") # Scale maximum width to 1 for all violins: p + geom_violin(scale = "width") # Default is to trim violins to the range of the data. To disable: p + geom_violin(trim = FALSE) # Use a smaller bandwidth for closer density fit (default is 1). p + geom_violin(adjust = .5) # Add aesthetic mappings # Note that violins are automatically dodged when any aesthetic is # a factor p + geom_violin(aes(fill = cyl)) p + geom_violin(aes(fill = factor(cyl))) p + geom_violin(aes(fill = factor(vs))) p + geom_violin(aes(fill = factor(am))) # Set aesthetics to fixed value p + geom_violin(fill = "grey80", colour = "#3366FF") qplot(factor(cyl), mpg, data = mtcars, geom = "violin", colour = I("#3366FF")) # Scales vs. coordinate transforms ------- # Scale transformations occur before the density statistics are computed. # Coordinate transformations occur afterwards. Observe the effect on the # number of outliers. library(plyr) # to access round_any m <- ggplot(movies, aes(y = votes, x = rating, group = round_any(rating, 0.5))) m + geom_violin() m + geom_violin() + scale_y_log10() m + geom_violin() + coord_trans(y = "log10") m + geom_violin() + scale_y_log10() + coord_trans(y = "log10") # Violin plots with continuous x: # Use the group aesthetic to group observations in violins qplot(year, budget, data = movies, geom = "violin") qplot(year, budget, data = movies, geom = "violin", group = round_any(year, 10, floor)) } } ggplot2/man/scale_hue.Rd0000644000175100001440000000634612114160774014654 0ustar hornikusers\name{scale_colour_hue} \alias{scale_color_discrete} \alias{scale_color_hue} \alias{scale_colour_discrete} \alias{scale_colour_hue} \alias{scale_fill_discrete} \alias{scale_fill_hue} \title{Qualitative colour scale with evenly spaced hues.} \usage{ scale_colour_hue(..., h = c(0, 360) + 15, c = 100, l = 65, h.start = 0, direction = 1, na.value = "grey50") scale_fill_hue(..., h = c(0, 360) + 15, c = 100, l = 65, h.start = 0, direction = 1, na.value = "grey50") scale_colour_discrete(..., h = c(0, 360) + 15, c = 100, l = 65, h.start = 0, direction = 1, na.value = "grey50") scale_fill_discrete(..., h = c(0, 360) + 15, c = 100, l = 65, h.start = 0, direction = 1, na.value = "grey50") scale_color_discrete(..., h = c(0, 360) + 15, c = 100, l = 65, h.start = 0, direction = 1, na.value = "grey50") scale_color_hue(..., h = c(0, 360) + 15, c = 100, l = 65, h.start = 0, direction = 1, na.value = "grey50") } \arguments{ \item{na.value}{Colour to use for missing values} \item{...}{Other arguments passed on to \code{\link{discrete_scale}} to control name, limits, breaks, labels and so forth.} \item{h}{range of hues to use, in [0, 360]} \item{c}{chroma (intensity of colour), maximum value varies depending on} \item{l}{luminance (lightness), in [0, 100]} \item{h.start}{hue to start at} \item{direction}{direction to travel around the colour wheel, 1 = clockwise, -1 = counter-clockwise} } \description{ Qualitative colour scale with evenly spaced hues. } \examples{ \donttest{ dsamp <- diamonds[sample(nrow(diamonds), 1000), ] (d <- qplot(carat, price, data=dsamp, colour=clarity)) # Change scale label d + scale_colour_hue() d + scale_colour_hue("clarity") d + scale_colour_hue(expression(clarity[beta])) # Adjust luminosity and chroma d + scale_colour_hue(l=40, c=30) d + scale_colour_hue(l=70, c=30) d + scale_colour_hue(l=70, c=150) d + scale_colour_hue(l=80, c=150) # Change range of hues used d + scale_colour_hue(h=c(0, 90)) d + scale_colour_hue(h=c(90, 180)) d + scale_colour_hue(h=c(180, 270)) d + scale_colour_hue(h=c(270, 360)) # Vary opacity # (only works with pdf, quartz and cairo devices) d <- ggplot(dsamp, aes(carat, price, colour = clarity)) d + geom_point(alpha = 0.9) d + geom_point(alpha = 0.5) d + geom_point(alpha = 0.2) # Colour of missing values is controlled with na.value: miss <- factor(sample(c(NA, 1:5), nrow(mtcars), rep = TRUE)) qplot(mpg, wt, data = mtcars, colour = miss) qplot(mpg, wt, data = mtcars, colour = miss) + scale_colour_hue(na.value = "black") } } \seealso{ Other colour scales: \code{\link{scale_color_brewer}}, \code{\link{scale_color_continuous}}, \code{\link{scale_color_gradient}}, \code{\link{scale_color_gradient2}}, \code{\link{scale_color_gradientn}}, \code{\link{scale_color_grey}}, \code{\link{scale_colour_brewer}}, \code{\link{scale_colour_continuous}}, \code{\link{scale_colour_gradient}}, \code{\link{scale_colour_gradient2}}, \code{\link{scale_colour_gradientn}}, \code{\link{scale_colour_grey}}, \code{\link{scale_fill_brewer}}, \code{\link{scale_fill_continuous}}, \code{\link{scale_fill_gradient}}, \code{\link{scale_fill_gradient2}}, \code{\link{scale_fill_gradientn}}, \code{\link{scale_fill_grey}} } ggplot2/man/ggplot.Rd0000644000175100001440000000617312114160774014216 0ustar hornikusers\name{ggplot} \alias{ggplot} \title{Create a new ggplot plot} \usage{ ggplot(data = NULL, ...) } \arguments{ \item{data}{default data set} \item{...}{other arguments passed to specific methods} } \description{ \code{ggplot()} initializes a ggplot object. It can be used to declare the input data frame for a graphic and to specify the set of plot aesthetics intended to be common throughout all subsequent layers unless specifically overridden. } \details{ \code{ggplot()} is typically used to construct a plot incrementally, using the + operator to add layers to the existing ggplot object. This is advantageous in that the code is explicit about which layers are added and the order in which they are added. For complex graphics with multiple layers, initialization with \code{ggplot} is recommended. There are three common ways to invoke \code{ggplot}: \itemize{ \item \code{ggplot(df, aes(x, y, ))} \item \code{ggplot(df)} \item \code{ggplot()} } The first method is recommended if all layers use the same data and the same set of aesthetics, although this method can also be used to add a layer using data from another data frame. See the first example below. The second method specifies the default data frame to use for the plot, but no aesthetics are defined up front. This is useful when one data frame is used predominantly as layers are added, but the aesthetics may vary from one layer to another. The third method initializes a skeleton \code{ggplot} object which is fleshed out as layers are added. This method is useful when multiple data frames are used to produce different layers, as is often the case in complex graphics. The examples below illustrate how these methods of invoking \code{ggplot} can be used in constructing a graphic. } \examples{ df <- data.frame(gp = factor(rep(letters[1:3], each = 10)), y = rnorm(30)) # Compute sample mean and standard deviation in each group library(plyr) ds <- ddply(df, .(gp), summarise, mean = mean(y), sd = sd(y)) # Declare the data frame and common aesthetics. # The summary data frame ds is used to plot # larger red points in a second geom_point() layer. # If the data = argument is not specified, it uses the # declared data frame from ggplot(); ditto for the aesthetics. ggplot(df, aes(x = gp, y = y)) + geom_point() + geom_point(data = ds, aes(y = mean), colour = 'red', size = 3) # Same plot as above, declaring only the data frame in ggplot(). # Note how the x and y aesthetics must now be declared in # each geom_point() layer. ggplot(df) + geom_point(aes(x = gp, y = y)) + geom_point(data = ds, aes(x = gp, y = mean), colour = 'red', size = 3) # Set up a skeleton ggplot object and add layers: ggplot() + geom_point(data = df, aes(x = gp, y = y)) + geom_point(data = ds, aes(x = gp, y = mean), colour = 'red', size = 3) + geom_errorbar(data = ds, aes(x = gp, y = mean, ymin = mean - sd, ymax = mean + sd), colour = 'red', width = 0.4) } \seealso{ \url{http://had.co.nz/ggplot2} } \keyword{internal} ggplot2/man/geom_errorbarh.Rd0000644000175100001440000000270012114160774015707 0ustar hornikusers\name{geom_errorbarh} \alias{geom_errorbarh} \title{Horizontal error bars} \usage{ geom_errorbarh(mapping = NULL, data = NULL, stat = "identity", position = "identity", ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ Horizontal error bars } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "errorbarh")} } \examples{ df <- data.frame( trt = factor(c(1, 1, 2, 2)), resp = c(1, 5, 3, 4), group = factor(c(1, 2, 1, 2)), se = c(0.1, 0.3, 0.3, 0.2) ) # Define the top and bottom of the errorbars p <- ggplot(df, aes(resp, trt, colour = group)) p + geom_point() + geom_errorbarh(aes(xmax = resp + se, xmin = resp - se)) p + geom_point() + geom_errorbarh(aes(xmax = resp + se, xmin = resp - se, height = .2)) } \seealso{ \code{\link{geom_errorbar}}: vertical error bars } ggplot2/man/scale_size.Rd0000644000175100001440000000235112114160774015035 0ustar hornikusers\name{scale_size} \alias{scale_size} \alias{scale_size_continuous} \alias{scale_size_discrete} \title{Size scale.} \usage{ scale_size_continuous(..., range = c(1, 6)) scale_size(..., range = c(1, 6)) scale_size_discrete(..., range = c(1, 6)) } \arguments{ \item{range}{a numeric vector of length 2 that specifies the minimum and maximum size of the plotting symbol after transformation.} \item{...}{common continuous scale parameters: \code{name}, \code{breaks}, \code{labels}, \code{na.value}, \code{limits} and \code{trans}. See \code{\link{continuous_scale}} for more details} } \description{ Size scale. } \examples{ \donttest{ (p <- qplot(mpg, cyl, data=mtcars, size=cyl)) p + scale_size("cylinders") p + scale_size("number\\nof\\ncylinders") p + scale_size(range = c(0, 10)) p + scale_size(range = c(1, 2)) # Map area, instead of width/radius # Perceptually, this is a little better p + scale_area() p + scale_area(range = c(1, 25)) # Also works with factors, but not a terribly good # idea, unless your factor is ordered, as in this example qplot(mpg, cyl, data=mtcars, size=factor(cyl)) # To control the size mapping for discrete variable, use # scale_size_manual: last_plot() + scale_size_manual(values=c(2,4,6)) } } ggplot2/man/scale_size_area.Rd0000644000175100001440000000127312114161113016013 0ustar hornikusers\name{scale_size_area} \alias{scale_size_area} \title{Scale area instead of radius, for size.} \usage{ scale_size_area(..., max_size = 6) } \arguments{ \item{...}{Other arguments passed on to \code{\link{continuous_scale}} to control name, limits, breaks, labels and so forth.} \item{max_size}{Size of largest points.} } \description{ When \code{scale_size_area} is used, the default behavior is to scale the area of points to be proportional to the value. } \details{ Note that this controls the size scale, so it will also control the thickness of lines. Line thickness will be proportional to the square root of the value, which is probably undesirable in most cases. } ggplot2/man/ggplot.data.frame.Rd0000644000175100001440000000114712114160774016213 0ustar hornikusers\name{ggplot.data.frame} \alias{ggplot.data.frame} \title{Create a new ggplot plot from a data frame} \usage{ \method{ggplot}{data.frame} (data, mapping = aes(), ..., environment = globalenv()) } \arguments{ \item{data}{default data frame for plot} \item{mapping}{default list of aesthetic mappings (these can be colour, size, shape, line type -- see individual geom functions for more details)} \item{...}{ignored} \item{environment}{in which evaluation of aesthetics should occur} } \description{ Create a new ggplot plot from a data frame } \seealso{ \url{http://had.co.nz/ggplot2} } ggplot2/man/coord.Rd0000644000175100001440000000030412114160774014016 0ustar hornikusers\name{coord} \alias{coord} \title{New coordinate system.} \usage{ coord(..., subclass = c()) } \arguments{ \item{...}{object fields} } \description{ Internal use only. } \keyword{internal} ggplot2/man/coord_polar.Rd0000644000175100001440000000343512114161113015207 0ustar hornikusers\name{coord_polar} \alias{coord_polar} \title{Polar coordinates.} \usage{ coord_polar(theta = "x", start = 0, direction = 1) } \arguments{ \item{theta}{variable to map angle to (\code{x} or \code{y})} \item{start}{offset of starting point from 12 o'clock in radians} \item{direction}{1, clockwise; -1, anticlockwise} } \description{ The polar coordinate system is most commonly used for pie charts, which are a stacked bar chart in polar coordinates. } \examples{ \donttest{ # NOTE: Use these plots with caution - polar coordinates has # major perceptual problems. The main point of these examples is # to demonstrate how these common plots can be described in the # grammar. Use with EXTREME caution. # A coxcomb plot = bar chart + polar coordinates cxc <- ggplot(mtcars, aes(x = factor(cyl))) + geom_bar(width = 1, colour = "black") cxc + coord_polar() # A new type of plot? cxc + coord_polar(theta = "y") # A pie chart = stacked bar chart + polar coordinates pie <- ggplot(mtcars, aes(x = factor(1), fill = factor(cyl))) + geom_bar(width = 1) pie + coord_polar(theta = "y") # The bullseye chart pie + coord_polar() # Hadley's favourite pie chart df <- data.frame( variable = c("resembles", "does not resemble"), value = c(80, 20) ) ggplot(df, aes(x = "", y = value, fill = variable)) + geom_bar(width = 1, stat = "identity") + scale_fill_manual(values = c("red", "yellow")) + coord_polar("y", start = pi / 3) + labs(title = "Pac man") # Windrose + doughnut plot movies$rrating <- cut_interval(movies$rating, length = 1) movies$budgetq <- cut_number(movies$budget, 4) doh <- ggplot(movies, aes(x = rrating, fill = budgetq)) # Wind rose doh + geom_bar(width = 1) + coord_polar() # Race track plot doh + geom_bar(width = 0.9, position = "fill") + coord_polar(theta = "y") } } ggplot2/man/aes_linetype_size_shape.Rd0000644000175100001440000000466412114160774017620 0ustar hornikusers\name{aes_linetype_size_shape} \alias{aes_linetype_size_shape} \alias{linetype} \alias{shape} \alias{size} \title{Differentiation related aesthetics: linetype, size, shape} \description{ This page demonstrates the usage of a sub-group of aesthetics; linetype, size and shape. } \examples{ # Line types should be specified with either an integer, a name, or with a string of # an even number (up to eight) of hexidecimal digits which give the lengths in # consecutive positions in the string. # 0 = blank, 1 = solid, 2 = dashed, 3 = dotted, 4 = dotdash, 5 = longdash, 6 = twodash # Data df <- data.frame(x = 1:10 , y = 1:10) f <- ggplot(df, aes(x = x, y = y)) f + geom_line(linetype = 2) f + geom_line(linetype = "dotdash") # An example with hex strings, the string "33" specifies three units on followed # by three off and "3313" specifies three units on followed by three off followed # by one on and finally three off. f + geom_line(linetype = "3313") # Mapping line type from a variable library(plyr) library(reshape2) rescale01 <- function(x) (x - min(x)) / diff(range(x)) ec_scaled <- data.frame( date = economics$date, colwise(rescale01)(economics[, -(1:2)])) ecm <- melt(ec_scaled, id = "date") qplot(date, value, data = ecm, geom = "line", linetype = variable) # Size examples # Should be specified with a numerical value (in millimetres), # or from a variable source p <- ggplot(mtcars, aes(wt, mpg)) p + geom_point(size = 4) p + geom_point(aes(size = qsec)) p + geom_point(size = 2.5) + geom_hline(yintercept = 25, size = 3.5) # Shape examples # Shape takes four types of values: an integer in [0, 25], # a single character-- which uses that character as the plotting symbol, # a . to draw the smallest rectangle that is visible (i.e., about one pixel) # an NA to draw nothing p + geom_point() p + geom_point(shape = 5) p + geom_point(shape = "k", size = 3) p + geom_point(shape = ".") p + geom_point(shape = NA) # Shape can also be mapped from a variable p + geom_point(aes(shape = factor(cyl))) # A look at all 25 symbols df2 <- data.frame(x = 1:5 , y = 1:25, z = 1:25) s <- ggplot(df2, aes(x = x, y = y)) s + geom_point(aes(shape = z), size = 4) + scale_shape_identity() # While all symbols have a foreground colour, symbols 19-25 also take a # background colour (fill) s + geom_point(aes(shape = z), size = 4, colour = "Red") + scale_shape_identity() s + geom_point(aes(shape = z), size = 4, colour = "Red", fill = "Black") + scale_shape_identity() } ggplot2/man/stat_unique.Rd0000644000175100001440000000210112114160774015246 0ustar hornikusers\name{stat_unique} \alias{stat_unique} \title{Remove duplicates.} \usage{ stat_unique(mapping = NULL, data = NULL, geom = "point", position = "identity", ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{geom}{The geometric object to use display the data} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ Remove duplicates. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "unique")} } \examples{ ggplot(mtcars, aes(vs, am)) + geom_point(alpha = 0.1) ggplot(mtcars, aes(vs, am)) + geom_point(alpha = 0.1, stat="unique") } ggplot2/man/position_jitter.Rd0000644000175100001440000000227712114160774016150 0ustar hornikusers\name{position_jitter} \alias{position_jitter} \title{Jitter points to avoid overplotting.} \usage{ position_jitter(width = NULL, height = NULL) } \arguments{ \item{width}{degree of jitter in x direction. Defaults to 40\% of the resolution of the data.} \item{height}{degree of jitter in y direction. Defaults to 40\% of the resolution of the data} } \description{ Jitter points to avoid overplotting. } \examples{ qplot(am, vs, data = mtcars) # Default amount of jittering will generally be too much for # small datasets: qplot(am, vs, data = mtcars, position = "jitter") # Control the amount as follows qplot(am, vs, data = mtcars, position = position_jitter(w = 0.1, h = 0.1)) # With ggplot ggplot(mtcars, aes(x = am, y = vs)) + geom_point(position = "jitter") ggplot(mtcars, aes(x = am, y = vs)) + geom_point(position = position_jitter(w = 0.1, h = 0.1)) # The default works better for large datasets, where it will # take up as much space as a boxplot or a bar qplot(class, hwy, data = mpg, geom = c("boxplot", "jitter")) } \seealso{ Other position adjustments: \code{\link{position_dodge}}, \code{\link{position_fill}}, \code{\link{position_identity}}, \code{\link{position_stack}} } ggplot2/man/translate_qplot_gpl.Rd0000644000175100001440000000470212114160774016774 0ustar hornikusers\name{translate_qplot_gpl} \alias{translate_qplot_gpl} \title{Translating between qplot and Graphics Production Library (GPL)} \description{ The Grammar of Graphics uses two specifications. A concise format is used to caption figures, and a more detailed xml format stored on disk. } \examples{ # The following example of the concise format is adapted from Figure 1.5, # page 13, of Leland Wilkinson's "The Grammar of Graphics." # Springer, 2nd edition, 2005. # DATA: source("demographics") # DATA: longitude, latitude = map(source("World")) # TRANS: bd = max(birth - death, 0) # COORD: project.mercator() # ELEMENT: point(position(lon * lat), size(bd), color(color.red)) # ELEMENT: polygon(position(longitude * latitude)) # This is relatively simple to adapt to the syntax of ggplot2: # ggplot() is used to specify the default data and default aesthetic mappings. # Data is provided as standard R data.frames existing in the global environment; # it does not need to be explicitly loaded. We also use a slightly # different world dataset, with columns lat and long. This lets us use the # same aesthetic mappings for both datasets. Layers can override the default # data and aesthetic mappings provided by the plot. # We replace TRANS with an explicit transformation by R code. # ELEMENTs are replaced with layers, which explicitly specify the data # source. Each geom has a default statistic which is used to transform the # data prior to plotting. For the geoms in this example, the default statistic # is the identity function. Fixed aesthetics (the colour red in this example) # are supplied as additional arguments to the layer, rather than as special # constants. # The SCALE component has been omitted from this example (so that the # defaults are used). In both the ggplot2 and GoG examples, scales are # defined by default. In ggplot you can override the defaults by adding a # scale object, e.g., scale colour or scale size. # COORD uses a slightly different format. In general, most of the components # specifications in ggplot are slightly different to those in GoG, in order to # be more familiar to R users. # Each component is added together with + to create the final plot. # Resulting ggplot2 code: # demographics <- transform(demographics, bd = pmax(birth - death, 0)) # p <- ggplot(demographic, aes(lon, lat)) # p <- p + geom_polyogon(data = world) # p <- p + geom_point(aes(size = bd), colour = "red") # p <- p + coord_map(projection = "mercator") # print(p) } ggplot2/man/expand_limits.Rd0000644000175100001440000000132412114160774015553 0ustar hornikusers\name{expand_limits} \alias{expand_limits} \title{Expand the plot limits with data.} \usage{ expand_limits(...) } \arguments{ \item{...}{named list of aesthetics specifying the value (or values) that should be included in each scale.} } \description{ panels or all plots. This function is a thin wrapper around \code{\link{geom_blank}} that makes it easy to add such values. } \examples{ p <- qplot(mpg, wt, data = mtcars) p + expand_limits(x = 0) p + expand_limits(y = c(1, 9)) p + expand_limits(x = 0, y = 0) qplot(mpg, wt, data = mtcars, colour = cyl) + expand_limits(colour = seq(2, 10, by = 2)) qplot(mpg, wt, data = mtcars, colour = factor(cyl)) + expand_limits(colour = factor(seq(2, 10, by = 2))) } ggplot2/man/plotmatrix.Rd0000644000175100001440000000075512114160774015125 0ustar hornikusers\name{plotmatrix} \alias{plotmatrix} \title{Code to create a scatterplot matrix (experimental)} \usage{ plotmatrix(data, mapping = aes(), colour = "black") } \arguments{ \item{data}{data frame} \item{mapping}{any additional aesthetic mappings (do not use x and y)} \item{colour}{default point colour} } \description{ Code to create a scatterplot matrix (experimental) } \examples{ plotmatrix(mtcars[, 1:3]) plotmatrix(mtcars[, 1:3]) + geom_smooth(method="lm") } \keyword{hplot} ggplot2/man/continuous_scale.Rd0000644000175100001440000000523312114160774016273 0ustar hornikusers\name{continuous_scale} \alias{continuous_scale} \title{Continuous scale constructor.} \usage{ continuous_scale(aesthetics, scale_name, palette, name = NULL, breaks = waiver(), minor_breaks = waiver(), labels = waiver(), legend = NULL, limits = NULL, rescaler = rescale, oob = censor, expand = waiver(), na.value = NA_real_, trans = "identity", guide = "legend") } \arguments{ \item{minor_breaks}{Used with date or datetime scales. Either \code{NULL} for no minor breaks, \code{waiver()} for the default breaks (one minor break between each major break), a numeric vector of positions, or a function that given the limits returns a vector of minor breaks.} \item{limits}{A numeric vector of length two describing the scale limits.} \item{rescaler}{Used by diverging and n colour gradients (i.e. \code{\link{scale_colour_gradient2}}, \code{\link{scale_colour_gradientn}}).} \item{oob}{What to do with values outside scale limits (out of bounds)?} \item{aesthetics}{the names of the aesthetics that this scale works with} \item{scale_name}{the name of the scale} \item{palette}{a palette function that when called with a single integer argument (the number of levels in the scale) returns the values that they should take} \item{name}{the name of the scale - used as the axis label or the legend title} \item{breaks}{control the breaks in the guide. There are four possible types of input: \itemize{ \item \code{NULL}: don't display any breaks \item a character vector giving the breaks as they should appear on the axis or in the legend. \item \code{waiver()} to use the default break computation. \item a function, that when called with a single argument, a character vector giving the limits of the scale, returns a character vector specifying which breaks to display. } This parameter does not affect in any way how the data is scaled - it only affects the appearance of the legend.} \item{labels}{\code{NULL} for no labels, \code{waiver()} for default labels (labels the same as breaks), a character vector the same length as breaks, or a named character vector whose names are used to match replacement the labels for matching breaks.} \item{legend}{deprecated. Use \code{guide} instead.} \item{expand}{a numeric vector of length two, giving a multiplicative and additive constant used to expand the range of the scales so that there is a small gap between the data and the axes.} \item{na.value}{how should missing values be displayed?} \item{guide}{the name of, or actual function, used to create the guide.} } \description{ Continuous scale constructor. } \keyword{internal} ggplot2/man/geom_polygon.Rd0000644000175100001440000000451112114160774015412 0ustar hornikusers\name{geom_polygon} \alias{geom_polygon} \title{Polygon, a filled path.} \usage{ geom_polygon(mapping = NULL, data = NULL, stat = "identity", position = "identity", ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ Polygon, a filled path. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "polygon")} } \examples{ # When using geom_polygon, you will typically need two data frames: # one contains the coordinates of each polygon (positions), and the # other the values associated with each polygon (values). An id # variable links the two together ids <- factor(c("1.1", "2.1", "1.2", "2.2", "1.3", "2.3")) values <- data.frame( id = ids, value = c(3, 3.1, 3.1, 3.2, 3.15, 3.5) ) positions <- data.frame( id = rep(ids, each = 4), x = c(2, 1, 1.1, 2.2, 1, 0, 0.3, 1.1, 2.2, 1.1, 1.2, 2.5, 1.1, 0.3, 0.5, 1.2, 2.5, 1.2, 1.3, 2.7, 1.2, 0.5, 0.6, 1.3), y = c(-0.5, 0, 1, 0.5, 0, 0.5, 1.5, 1, 0.5, 1, 2.1, 1.7, 1, 1.5, 2.2, 2.1, 1.7, 2.1, 3.2, 2.8, 2.1, 2.2, 3.3, 3.2) ) # Currently we need to manually merge the two together datapoly <- merge(values, positions, by=c("id")) (p <- ggplot(datapoly, aes(x=x, y=y)) + geom_polygon(aes(fill=value, group=id))) # Which seems like a lot of work, but then it's easy to add on # other features in this coordinate system, e.g.: stream <- data.frame( x = cumsum(runif(50, max = 0.1)), y = cumsum(runif(50,max = 0.1)) ) p + geom_line(data = stream, colour="grey30", size = 5) # And if the positions are in longitude and latitude, you can use # coord_map to produce different map projections. } \seealso{ \code{\link{geom_path}} for an unfilled polygon, \code{\link{geom_ribbon}} for a polygon anchored on the x-axis } ggplot2/man/geom_quantile.Rd0000644000175100001440000000302712114160774015546 0ustar hornikusers\name{geom_quantile} \alias{geom_quantile} \title{Add quantile lines from a quantile regression.} \usage{ geom_quantile(mapping = NULL, data = NULL, stat = "quantile", position = "identity", lineend = "butt", linejoin = "round", linemitre = 1, na.rm = FALSE, ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{na.rm}{If \code{FALSE} (the default), removes missing values with a warning. If \code{TRUE} silently removes missing values.} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} \item{lineend}{Line end style (round, butt, square)} \item{linejoin}{Line join style (round, mitre, bevel)} \item{linemitre}{Line mitre limit (number greater than 1)} } \description{ This can be used as a continuous analogue of a geom_boxplot. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "quantile")} } \examples{ # See stat_quantile for examples } \seealso{ See \code{\link{stat_quantile}} for examples. } ggplot2/man/geom_raster.Rd0000644000175100001440000000520312114160774015222 0ustar hornikusers\name{geom_raster} \alias{geom_raster} \title{High-performance rectangular tiling.} \usage{ geom_raster(mapping = NULL, data = NULL, stat = "identity", position = "identity", hjust = 0.5, vjust = 0.5, interpolate = FALSE, ...) } \arguments{ \item{hjust,vjust}{horizontal and vertical justification of the grob. Each justification value should be a number between 0 and 1. Defaults to 0.5 for both, centering each pixel over its data location.} \item{interpolate}{If \code{TRUE} interpolate linearly, if \code{FALSE} (the default) don't interpolate.} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ This is a special case of \code{\link{geom_tile}} where all tiles are the same size. It is implemented highly efficiently using the internal \code{rasterGrob} function. } \details{ By default, \code{geom_raster} add a vertical and horizontal padding. The size of padding depends on the resolution of data. If you want to manually set the padding (e.g. want zero-padding), you can change the behavior by setting \code{hpad} and \code{vpad}. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "raster")} } \examples{ \donttest{ # Generate data pp <- function (n,r=4) { x <- seq(-r*pi, r*pi, len=n) df <- expand.grid(x=x, y=x) df$r <- sqrt(df$x^2 + df$y^2) df$z <- cos(df$r^2)*exp(-df$r/6) df } qplot(x, y, data = pp(20), fill = z, geom = "raster") # Interpolation worsens the apperance of this plot, but can help when # rendering images. qplot(x, y, data = pp(20), fill = z, geom = "raster", interpolate = TRUE) # For the special cases where it is applicable, geom_raster is much # faster than geom_tile: pp200 <- pp(200) base <- ggplot(pp200, aes(x, y, fill = z)) benchplot(base + geom_raster()) benchplot(base + geom_tile()) # justification df <- expand.grid(x = 0:5, y = 0:5) df$z <- runif(nrow(df)) # default is compatible with geom_tile() ggplot(df, aes(x, y, fill = z)) + geom_raster() # zero padding ggplot(df, aes(x, y, fill = z)) + geom_raster(hjust = 0, vjust = 0) } } ggplot2/man/geom_tile.Rd0000644000175100001440000000554512114160774014670 0ustar hornikusers\name{geom_tile} \alias{geom_tile} \title{Tile plane with rectangles.} \usage{ geom_tile(mapping = NULL, data = NULL, stat = "identity", position = "identity", ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ Similar to \code{\link{levelplot}} and \code{\link{image}}. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "tile")} } \examples{ \donttest{ # Generate data pp <- function (n,r=4) { x <- seq(-r*pi, r*pi, len=n) df <- expand.grid(x=x, y=x) df$r <- sqrt(df$x^2 + df$y^2) df$z <- cos(df$r^2)*exp(-df$r/6) df } p <- ggplot(pp(20), aes(x=x,y=y)) p + geom_tile() #pretty useless! # Add aesthetic mappings p + geom_tile(aes(fill=z)) # Change scale p + geom_tile(aes(fill=z)) + scale_fill_gradient(low="green", high="red") # Use qplot instead qplot(x, y, data=pp(20), geom="tile", fill=z) qplot(x, y, data=pp(100), geom="tile", fill=z) # Missing values p <- ggplot(pp(20)[sample(20*20, size=200),], aes(x=x,y=y,fill=z)) p + geom_tile() # Input that works with image image(t(volcano)[ncol(volcano):1,]) library(reshape2) # for melt ggplot(melt(volcano), aes(x=Var1, y=Var2, fill=value)) + geom_tile() # inspired by the image-density plots of Ken Knoblauch cars <- ggplot(mtcars, aes(y=factor(cyl), x=mpg)) cars + geom_point() cars + stat_bin(aes(fill=..count..), geom="tile", binwidth=3, position="identity") cars + stat_bin(aes(fill=..density..), geom="tile", binwidth=3, position="identity") cars + stat_density(aes(fill=..density..), geom="tile", position="identity") cars + stat_density(aes(fill=..count..), geom="tile", position="identity") # Another example with with unequal tile sizes x.cell.boundary <- c(0, 4, 6, 8, 10, 14) example <- data.frame( x = rep(c(2, 5, 7, 9, 12), 2), y = factor(rep(c(1,2), each=5)), z = rep(1:5, each=2), w = rep(diff(x.cell.boundary), 2) ) qplot(x, y, fill=z, data=example, geom="tile") qplot(x, y, fill=z, data=example, geom="tile", width=w) qplot(x, y, fill=factor(z), data=example, geom="tile", width=w) # You can manually set the colour of the tiles using # scale_manual col <- c("darkblue", "blue", "green", "orange", "red") qplot(x, y, fill=col[z], data=example, geom="tile", width=w, group=1) + scale_fill_identity(labels=letters[1:5], breaks=col) } } ggplot2/man/annotation_custom.Rd0000644000175100001440000000312112114160774016454 0ustar hornikusers\name{annotation_custom} \alias{annotation_custom} \title{Annotation: Custom grob.} \usage{ annotation_custom(grob, xmin = -Inf, xmax = Inf, ymin = -Inf, ymax = Inf) } \arguments{ \item{grob}{grob to display} \item{xmin,xmax}{x location (in data coordinates) giving horizontal location of raster} \item{ymin,ymax}{y location (in data coordinates) giving vertical location of raster} } \description{ This is a special geom intended for use as static annnotations that are the same in every panel. These anotations will not affect scales (i.e. the x and y axes will not grow to cover the range of the grob, and the grob will not be modified by any ggplot settings or mappings). } \details{ Most useful for adding tables, inset plots, and other grid-based decorations. } \note{ \code{annotation_custom} expects the grob to fill the entire viewport defined by xmin, xmax, ymin, ymax. Grobs with a different (absolute) size will be center-justified in that region. Inf values can be used to fill the full plot panel (see examples). } \examples{ # Dummy plot base <- qplot(1:10, 1:10, geom = "blank") + theme_bw() # Adding a table \donttest{ require(gridExtra) base + annotation_custom(grob = tableGrob(head(iris[ ,1:3])), xmin = 3, xmax = 6, ymin = 2, ymax = 8) # full panel base + annotation_custom(grob = roundrectGrob(), xmin = -Inf, xmax = Inf, ymin = -Inf, ymax = Inf) } # Inset plot g <- ggplotGrob(qplot(1, 1) + theme(plot.background = element_rect(colour = "black"))) base + annotation_custom(grob = g, xmin = 1, xmax = 10, ymin = 8, ymax = 10) } ggplot2/man/label_parsed.Rd0000644000175100001440000000122412114160774015327 0ustar hornikusers\name{label_parsed} \alias{label_parsed} \title{Label facets with parsed label.} \usage{ label_parsed(variable, value) } \arguments{ \item{variable}{variable name passed in by facetter} \item{value}{variable value passed in by facetter} } \description{ Label facets with parsed label. } \examples{ mtcars$cyl2 <- factor(mtcars$cyl, labels = c("alpha", "beta", "gamma")) qplot(wt, mpg, data = mtcars) + facet_grid(. ~ cyl2) qplot(wt, mpg, data = mtcars) + facet_grid(. ~ cyl2, labeller = label_parsed) } \seealso{ \code{\link{plotmath}} Other facet labellers: \code{\link{label_both}}, \code{\link{label_bquote}}, \code{\link{label_value}} } ggplot2/man/ggplot_gtable.Rd0000644000175100001440000000150512114160774015526 0ustar hornikusers\name{ggplot_gtable} \alias{ggplot_gtable} \title{Build a plot with all the usual bits and pieces.} \usage{ ggplot_gtable(data) } \arguments{ \item{plot}{plot object} \item{data}{plot data generated by \code{\link{ggplot_build}}} } \value{ a \code{\link{gtable}} object } \description{ This function builds all grobs necessary for displaying the plot, and stores them in a special data structure called a \code{\link{gtable}}. This object is amenable to programmatic manipulation, should you want to (e.g.) make the legend box 2 cm wide, or combine multiple plots into a single display, preserving aspect ratios across the plots. } \seealso{ \code{\link{print.ggplot}} and \code{link{benchplot}} for for functions that contain the complete set of steps for generating a ggplot2 plot. } \keyword{internal} ggplot2/man/movies.Rd0000644000175100001440000000260512114160774014220 0ustar hornikusers\docType{data} \name{movies} \alias{movies} \title{Movie information and user ratings from IMDB.com.} \format{A data frame with 28819 rows and 24 variables} \description{ The internet movie database, \url{http://imdb.com/}, is a website devoted to collecting movie data supplied by studios and fans. It claims to be the biggest movie database on the web and is run by amazon. More about information imdb.com can be found online, \url{http://imdb.com/help/show_leaf?about}, including information about the data collection process, \url{http://imdb.com/help/show_leaf?infosource}. } \details{ Movies were selected for inclusion if they had a known length and had been rated by at least one imdb user. The data set contains the following fields: \itemize{ \item title. Title of the movie. \item year. Year of release. \item budget. Total budget (if known) in US dollars \item length. Length in minutes. \item rating. Average IMDB user rating. \item votes. Number of IMDB users who rated this movie. \item r1-10. Multiplying by ten gives percentile (to nearest 10\%) of users who rated this movie a 1. \item mpaa. MPAA rating. \item action, animation, comedy, drama, documentary, romance, short. Binary variables representing if movie was classified as belonging to that genre. } } \references{ \url{http://had.co.nz/data/movies/} } \keyword{datasets} ggplot2/man/stat_quantile.Rd0000644000175100001440000000472012114161113015557 0ustar hornikusers\name{stat_quantile} \alias{stat_quantile} \title{Continuous quantiles.} \usage{ stat_quantile(mapping = NULL, data = NULL, geom = "quantile", position = "identity", quantiles = c(0.25, 0.5, 0.75), formula = NULL, method = "rq", na.rm = FALSE, ...) } \arguments{ \item{quantiles}{conditional quantiles of y to calculate and display} \item{formula}{formula relating y variables to x variables} \item{method}{Quantile regression method to use. Currently only supports \code{\link[quantreg]{rq}}.} \item{na.rm}{If \code{FALSE} (the default), removes missing values with a warning. If \code{TRUE} silently removes missing values.} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{geom}{The geometric object to use display the data} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \value{ a data.frame with additional columns: \item{quantile}{quantile of distribution} } \description{ Continuous quantiles. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "quantile")} } \examples{ \donttest{ msamp <- movies[sample(nrow(movies), 1000), ] m <- ggplot(msamp, aes(year, rating)) + geom_point() m + stat_quantile() m + stat_quantile(quantiles = 0.5) q10 <- seq(0.05, 0.95, by=0.05) m + stat_quantile(quantiles = q10) # You can also use rqss to fit smooth quantiles m + stat_quantile(method = "rqss") # Note that rqss doesn't pick a smoothing constant automatically, so # you'll need to tweak lambda yourself m + stat_quantile(method = "rqss", lambda = 10) m + stat_quantile(method = "rqss", lambda = 100) # Use 'votes' as weights for the quantile calculation m + stat_quantile(aes(weight=votes)) # Change scale m + stat_quantile(aes(colour = ..quantile..), quantiles = q10) m + stat_quantile(aes(colour = ..quantile..), quantiles = q10) + scale_colour_gradient2(midpoint = 0.5) # Set aesthetics to fixed value m + stat_quantile(colour = "red", size = 2, linetype = 2) # Use qplot instead qplot(year, rating, data=movies, geom="quantile") } } ggplot2/man/scale_continuous.Rd0000644000175100001440000000561012114161113016256 0ustar hornikusers\name{scale_x_continuous} \alias{scale_x_continuous} \alias{scale_x_log10} \alias{scale_x_reverse} \alias{scale_x_sqrt} \alias{scale_y_continuous} \alias{scale_y_log10} \alias{scale_y_reverse} \alias{scale_y_sqrt} \title{Continuous position scales (x & y).} \usage{ scale_x_continuous(..., expand = waiver()) scale_y_continuous(..., expand = waiver()) scale_x_log10(...) scale_y_log10(...) scale_x_reverse(...) scale_y_reverse(...) scale_x_sqrt(...) scale_y_sqrt(...) } \arguments{ \item{...}{common continuous scale parameters: \code{name}, \code{breaks}, \code{labels}, \code{na.value}, \code{limits} and \code{trans}. See \code{\link{continuous_scale}} for more details} \item{expand}{a numeric vector of length two giving multiplicative and additive expansion constants. These constants ensure that the data is placed some distance away from the axes.} } \description{ Continuous position scales (x & y). } \examples{ \donttest{ (m <- qplot(rating, votes, data=subset(movies, votes > 1000), na.rm = TRUE)) # Manipulating the default position scales lets you: # * change the axis labels m + scale_y_continuous("number of votes") m + scale_y_continuous(expression(votes^alpha)) # * modify the axis limits m + scale_y_continuous(limits=c(0, 5000)) m + scale_y_continuous(limits=c(1000, 10000)) m + scale_x_continuous(limits=c(7, 8)) # you can also use the short hand functions xlim and ylim m + ylim(0, 5000) m + ylim(1000, 10000) m + xlim(7, 8) # * choose where the ticks appear m + scale_x_continuous(breaks=1:10) m + scale_x_continuous(breaks=c(1,3,7,9)) # * manually label the ticks m + scale_x_continuous(breaks=c(2,5,8), labels=c("two", "five", "eight")) m + scale_x_continuous(breaks=c(2,5,8), labels=c("horrible", "ok", "awesome")) m + scale_x_continuous(breaks=c(2,5,8), labels=expression(Alpha, Beta, Omega)) # There are a few built in transformation that you can use: m + scale_y_log10() m + scale_y_sqrt() m + scale_y_reverse() # You can also create your own and supply them to the trans argument. # See ?scale::trans_new # You can control the formatting of the labels with the formatter # argument. Some common formats are built into the scales package: x <- rnorm(10) * 100000 y <- seq(0, 1, length = 10) p <- qplot(x, y) library(scales) p + scale_y_continuous(labels = percent) p + scale_y_continuous(labels = dollar) p + scale_x_continuous(labels = comma) # qplot allows you to do some of this with a little less typing: # * axis limits qplot(rating, votes, data=movies, ylim=c(1e4, 5e4)) # * axis labels qplot(rating, votes, data=movies, xlab="My x axis", ylab="My y axis") # * log scaling qplot(rating, votes, data=movies, log="xy") } } \seealso{ Other position scales: \code{\link{scale_x_date}}, \code{\link{scale_x_datetime}}, \code{\link{scale_x_discrete}}, \code{\link{scale_y_date}}, \code{\link{scale_y_datetime}}, \code{\link{scale_y_discrete}} } ggplot2/man/geom_bin2d.Rd0000644000175100001440000000221712114160774014722 0ustar hornikusers\name{geom_bin2d} \alias{geom_bin2d} \title{Add heatmap of 2d bin counts.} \usage{ geom_bin2d(mapping = NULL, data = NULL, stat = "bin2d", position = "identity", ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ Add heatmap of 2d bin counts. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "bin2d")} } \examples{ d <- ggplot(diamonds, aes(x = x, y = y)) + xlim(4,10) + ylim(4,10) d + geom_bin2d() d + geom_bin2d(binwidth = c(0.1, 0.1)) # See ?stat_bin2d for more examples } ggplot2/man/scale_brewer.Rd0000644000175100001440000000441212114160774015351 0ustar hornikusers\name{scale_colour_brewer} \alias{scale_color_brewer} \alias{scale_colour_brewer} \alias{scale_fill_brewer} \title{Sequential, diverging and qualitative colour scales from colorbrewer.org} \usage{ scale_colour_brewer(..., type = "seq", palette = 1) scale_fill_brewer(..., type = "seq", palette = 1) scale_color_brewer(..., type = "seq", palette = 1) } \arguments{ \item{type}{One of seq (sequential), div (diverging) or qual (qualitative)} \item{palette}{If a string, will use that named palette. If a number, will index into the list of palettes of appropriate \code{type}} \item{...}{Other arguments passed on to \code{\link{discrete_scale}} to control name, limits, breaks, labels and so forth.} } \description{ See \url{http://colorbrewer2.org} for more information. } \examples{ dsamp <- diamonds[sample(nrow(diamonds), 1000), ] (d <- qplot(carat, price, data=dsamp, colour=clarity)) # Change scale label d + scale_colour_brewer() d + scale_colour_brewer("clarity") d + scale_colour_brewer(expression(clarity[beta])) # Select brewer palette to use, see ?scales::brewer_pal for more details d + scale_colour_brewer(type="seq") d + scale_colour_brewer(type="seq", palette=3) d + scale_colour_brewer(palette="Blues") d + scale_colour_brewer(palette="Set1") # scale_fill_brewer works just the same as # scale_colour_brewer but for fill colours ggplot(diamonds, aes(x=price, fill=cut)) + geom_histogram(position="dodge", binwidth=1000) + scale_fill_brewer() } \seealso{ Other colour scales: \code{\link{scale_color_continuous}}, \code{\link{scale_color_discrete}}, \code{\link{scale_color_gradient}}, \code{\link{scale_color_gradient2}}, \code{\link{scale_color_gradientn}}, \code{\link{scale_color_grey}}, \code{\link{scale_color_hue}}, \code{\link{scale_colour_continuous}}, \code{\link{scale_colour_discrete}}, \code{\link{scale_colour_gradient}}, \code{\link{scale_colour_gradient2}}, \code{\link{scale_colour_gradientn}}, \code{\link{scale_colour_grey}}, \code{\link{scale_colour_hue}}, \code{\link{scale_fill_continuous}}, \code{\link{scale_fill_discrete}}, \code{\link{scale_fill_gradient}}, \code{\link{scale_fill_gradient2}}, \code{\link{scale_fill_gradientn}}, \code{\link{scale_fill_grey}}, \code{\link{scale_fill_hue}} } ggplot2/man/is.coord.Rd0000644000175100001440000000025712114160774014437 0ustar hornikusers\name{is.coord} \alias{is.coord} \title{Is this object a coordinate system?} \usage{ is.coord(x) } \description{ Is this object a coordinate system? } \keyword{internal} ggplot2/man/economics.Rd0000644000175100001440000000164112114160774014674 0ustar hornikusers\docType{data} \name{economics} \alias{economics} \title{US economic time series.} \format{A data frame with 478 rows and 6 variables} \description{ This dataset was produced from US economic time series data available from \url{http://research.stlouisfed.org/fred2}. } \details{ \itemize{ \item date. Month of data collection \item psavert, personal savings rate, \url{http://research.stlouisfed.org/fred2/series/PSAVERT/} \item pce, personal consumption expenditures, in billions of dollars, \url{http://research.stlouisfed.org/fred2/series/PCE} \item unemploy, number of unemployed in thousands, \url{http://research.stlouisfed.org/fred2/series/UNEMPLOY} \item uempmed, median duration of unemployment, in week, \url{http://research.stlouisfed.org/fred2/series/UEMPMED} \item pop, total population, in thousands, \url{http://research.stlouisfed.org/fred2/series/POP} } } \keyword{datasets} ggplot2/man/stat_hline.Rd0000644000175100001440000000171512114160774015051 0ustar hornikusers\name{stat_hline} \alias{stat_hline} \title{Add a horizontal line} \usage{ stat_hline(mapping = NULL, data = NULL, geom = "hline", position = "identity", yintercept, ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{geom}{The geometric object to use display the data} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ Add a horizontal line } \examples{ # see geom_hline } \seealso{ \code{\link{geom_hline}} for code examples. } \keyword{internal} ggplot2/man/geom_hline.Rd0000644000175100001440000000443412114160774015026 0ustar hornikusers\name{geom_hline} \alias{geom_hline} \title{Horizontal line.} \usage{ geom_hline(mapping = NULL, data = NULL, stat = "hline", position = "identity", show_guide = FALSE, ...) } \arguments{ \item{show_guide}{should a legend be drawn? (defaults to \code{FALSE})} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ This geom allows you to annotate the plot with horizontal lines (see \code{\link{geom_vline}} and \code{\link{geom_abline}} for other types of lines). } \details{ There are two ways to use it. You can either specify the intercept of the line in the call to the geom, in which case the line will be in the same position in every panel. Alternatively, you can supply a different intercept for each panel using a data.frame. See the examples for the differences } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "hline")} } \examples{ p <- ggplot(mtcars, aes(x = wt, y=mpg)) + geom_point() p + geom_hline(aes(yintercept=mpg)) p + geom_hline(yintercept=20) p + geom_hline(yintercept=seq(10, 30, by=5)) # With coordinate transforms p + geom_hline(aes(yintercept=mpg)) + coord_equal() p + geom_hline(aes(yintercept=mpg)) + coord_flip() p + geom_hline(aes(yintercept=mpg)) + coord_polar() # To display different lines in different facets, you need to # create a data frame. p <- qplot(mpg, wt, data=mtcars, facets = vs ~ am) hline.data <- data.frame(z = 1:4, vs = c(0,0,1,1), am = c(0,1,0,1)) p + geom_hline(aes(yintercept = z), hline.data) } \seealso{ \code{\link{geom_vline}} for vertical lines, \code{\link{geom_abline}} for lines defined by a slope and intercept, \code{\link{geom_segment}} for a more general approach } ggplot2/man/position_stack.Rd0000644000175100001440000000303512114160774015745 0ustar hornikusers\name{position_stack} \alias{position_stack} \title{Stack overlapping objects on top of one another.} \usage{ position_stack(width = NULL, height = NULL) } \arguments{ \item{width}{Manually specify width (does not affect all position adjustments)} \item{height}{Manually specify height (does not affect all position adjustments)} } \description{ Stack overlapping objects on top of one another. } \examples{ # Stacking is the default behaviour for most area plots: ggplot(mtcars, aes(factor(cyl), fill = factor(vs))) + geom_bar() # To change stacking order, use factor() to change order of levels mtcars$vs <- factor(mtcars$vs, levels = c(1,0)) ggplot(mtcars, aes(factor(cyl), fill = factor(vs))) + geom_bar() ggplot(diamonds, aes(price)) + geom_histogram(binwidth=500) ggplot(diamonds, aes(price, fill = cut)) + geom_histogram(binwidth=500) # Stacking is also useful for time series data.set <- data.frame( Time = c(rep(1, 4),rep(2, 4), rep(3, 4), rep(4, 4)), Type = rep(c('a', 'b', 'c', 'd'), 4), Value = rpois(16, 10) ) qplot(Time, Value, data = data.set, fill = Type, geom = "area") # If you want to stack lines, you need to say so: qplot(Time, Value, data = data.set, colour = Type, geom = "line") qplot(Time, Value, data = data.set, colour = Type, geom = "line", position = "stack") # But realise that this makes it *much* harder to compare individual # trends } \seealso{ Other position adjustments: \code{\link{position_dodge}}, \code{\link{position_fill}}, \code{\link{position_identity}}, \code{\link{position_jitter}} } ggplot2/man/stat_qq.Rd0000644000175100001440000000372712114160774014400 0ustar hornikusers\name{stat_qq} \alias{stat_qq} \title{Calculation for quantile-quantile plot.} \usage{ stat_qq(mapping = NULL, data = NULL, geom = "point", position = "identity", distribution = qnorm, dparams = list(), na.rm = FALSE, ...) } \arguments{ \item{distribution}{Distribution function to use, if x not specified} \item{dparams}{Parameters for distribution function} \item{...}{Other arguments passed to distribution function} \item{na.rm}{If \code{FALSE} (the default), removes missing values with a warning. If \code{TRUE} silently removes missing values.} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{geom}{The geometric object to use display the data} \item{position}{The position adjustment to use for overlappling points on this layer} } \value{ a data.frame with additional columns: \item{sample}{sample quantiles} \item{theoretical}{theoretical quantiles} } \description{ Calculation for quantile-quantile plot. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "qq")} } \examples{ \donttest{ # From ?qqplot y <- rt(200, df = 5) qplot(sample = y, stat="qq") # qplot is smart enough to use stat_qq if you use sample qplot(sample = y) qplot(sample = precip) qplot(sample = y, dist = qt, dparams = list(df = 5)) df <- data.frame(y) ggplot(df, aes(sample = y)) + stat_qq() ggplot(df, aes(sample = y)) + geom_point(stat = "qq") # Use fitdistr from MASS to estimate distribution params library(MASS) params <- as.list(fitdistr(y, "t")$estimate) ggplot(df, aes(sample = y)) + stat_qq(dist = qt, dparam = params) # Using to explore the distribution of a variable qplot(sample = mpg, data = mtcars) qplot(sample = mpg, data = mtcars, colour = factor(cyl)) } } ggplot2/man/layer.Rd0000644000175100001440000000020612114160774014025 0ustar hornikusers\name{layer} \alias{layer} \title{Create a new layer} \usage{ layer(...) } \description{ Create a new layer } \keyword{internal} ggplot2/man/translate_qplot_base.Rd0000644000175100001440000001142512114160774017124 0ustar hornikusers\name{translate_qplot_base} \alias{translate_qplot_base} \title{Translating between qplot and base graphics} \description{ There are two types of graphics functions in base graphics, those that draw complete graphics and those that add to existing graphics. } \details{ qplot() has been designed to mimic plot(), and can do the job of all other high-level plotting commands. There are only two graph types from base graphics that cannot be replicated with ggplot2: filled.contour() and persp() } \examples{ \donttest{ # High-level plotting commands x <- runif(10) y <- 1:10 plot(x, y); dotchart(x, y) qplot(x, y) plot(x, y, type = "l") qplot(x, y, geom = "line") plot(x, y, type = "s") qplot(x, y, geom = "step") plot(x, y, type = "b") qplot(x, y, geom = c("point", "line")) boxplot(x, y) qplot(x, y, geom = "boxplot") hist(x) qplot(x, geom = "histogram") # cdplot(factor(x), y) # qplot(x, fill = y, geom = "density", position = "fill") # coplot(y ~ x | a + b) # qplot(x, y, facets = a ~ b) # Many of the geoms are parameterised differently than base graphics. For # example, hist() is parameterised in terms of the number of bins, while # geom_histogram() is parameterised in terms of the width of each bin. hist(x, bins = 10) qplot(x, geom = "histogram", binwidth = .1) # qplot() often requires data in a slightly different format to the base # graphics functions. For example, the bar geom works with untabulated data, # not tabulated data like barplot(); the tile and contour geoms expect data # in a data frame, not a matrix like image() and contour(). barplot(table(x)) qplot(x, geom = "bar") barplot(x) qplot(seq_along(x), x, geom = "bar", stat = "identity") # image(x) # qplot(X1, X2, data = melt(x), geom = "tile", fill = value) # contour(x) # qplot(X1, X2, data = melt(x), geom = "contour", fill = value) # Generally, the base graphics functions work with individual vectors, not # data frames like ggplot2. qplot() will try to construct a data frame if one # is not specified, but it is not always possible. If you get strange errors, # you may need to create the data frame yourself. df <- data.frame(x = x, y = y) with(df, plot(x, y)) qplot(x, y, data = df) # By default, qplot() maps values to aesthetics with a scale. To override # this behaviour and set aesthetics, overriding the defaults, you need to use I(). plot(x, y, col = "red", cex = 1) qplot(x, y, colour = I("red"), size = I(1)) # Low-level drawing # The low-level drawing functions which add to an existing plot are equivalent # to adding a new layer in ggplot2. # Base function ggplot2 layer # curve() geom_curve() # hline() geom_hline() # lines() geom_line() # points() geom_point() # polygon() geom_polygon() # rect() geom_rect() # rug() geom_rug() # segments() geom_segment() # text() geom_text() # vline() geom_vline() # abline(lm(y ~ x)) geom_smooth(method = "lm") # lines(density(x)) geom_density() # lines(loess(x, y)) geom_smooth() plot(x, y) lines(x, y) qplot(x, y) + geom_line() # Or, building up piece-meal qplot(x, y) last_plot() + geom_line() # Legends, axes and grid lines # In ggplot2, the appearance of legends and axes is controlled by the scales. # Axes are produced by the x and y scales, while all other scales produce legends. # See ?theme for help changing the appearance of axes and legends. # The appearance of grid lines is controlled by the grid.major and grid.minor # theme options, and their position by the breaks of the x and y scales. # Colour palettes # Instead of global colour palettes, ggplot2 has scales for individual plots. Much # of the time you can rely on the default colour scale (which has somewhat better # perceptual properties), but if you want to reuse an existing colour palette, you # can use scale_colour_manual(). You will need to make sure that the colour # is a factor for this to work. palette(rainbow(5)) plot(1:5, 1:5, col = 1:5, pch = 19, cex = 4) qplot(1:5, 1:5, col = factor(1:5), size = I(4)) last_plot() + scale_colour_manual(values = rainbow(5)) # In ggplot2, you can also use palettes with continuous values, # with intermediate values being linearly interpolated. qplot(0:100, 0:100, col = 0:100, size = I(4)) + scale_colour_gradientn(colours = rainbow(7)) last_plot() + scale_colour_gradientn(colours = terrain.colors(7)) # Graphical parameters # The majority of par settings have some analogue within the theme system, or # in the defaults of the geoms and scales. The appearance plot border drawn # by box() can be controlled in a similar way by the panel.background and # plot.background theme elements. Instead of using title(), the plot title is # set with the title option. See ?theme for more theme elements. last_plot() + labs(title = "My Plot Title") } } ggplot2/man/mean_se.Rd0000644000175100001440000000052612114160774014325 0ustar hornikusers\name{mean_se} \alias{mean_se} \title{Calculate mean and standard errors on either side.} \usage{ mean_se(x, mult = 1) } \arguments{ \item{x}{numeric vector} \item{mult}{number of multiples of standard error} } \description{ Calculate mean and standard errors on either side. } \seealso{ for use with \code{\link{stat_summary}} } ggplot2/man/ggscale.Rd0000644000175100001440000000100612114160774014315 0ustar hornikusers\name{ggscale} \alias{ggscale} \title{Components of a scale:} \description{ Guide related: * name * breaks * labels * expand } \details{ Mapping related: * aesthetic * limits * palette * trans Scales are an S3 class with a single mutable component implemented with a reference class - the range of the data. This mutability makes working with scales much easier, because it makes it possible to distribute the training, without having to worry about collecting all the pieces back together again. } ggplot2/man/ggmissing.Rd0000644000175100001440000000214012114160774014677 0ustar hornikusers\name{ggmissing} \alias{ggmissing} \title{Create a plot to illustrate patterns of missing values.} \usage{ ggmissing(data, avoid = "stack", order = TRUE, missing.only = TRUE) } \arguments{ \item{data}{input data.frame} \item{avoid}{whether missings should be stacked or dodged, see \code{\link{geom_bar}} for more details} \item{order}{if \code{TRUE}, order variables by number of missings} \item{missing.only}{if \code{TRUE}, only display variables with some missing data} } \description{ The missing values plot is a useful tool to get a rapid overview of the number and pattern of missing values in a dataset. Its strength is much more apparent when used with interactive graphics, as you can see in Mondrian (\url{http://rosuda.org/mondrian}) where this plot was copied from. } \examples{ \dontrun{ mmissing <- movies mmissing[sample(nrow(movies), 1000), sample(ncol(movies), 5)] <- NA ggmissing(mmissing) ggmissing(mmissing, order=FALSE, missing.only = FALSE) ggmissing(mmissing, avoid="dodge") + scale_y_sqrt() } } \seealso{ \code{\link{ggstructure}}, \code{\link{ggorder}} } ggplot2/man/borders.Rd0000644000175100001440000000173312114160774014357 0ustar hornikusers\name{borders} \alias{borders} \title{Create a layer of map borders.} \usage{ borders(database = "world", regions = ".", fill = NA, colour = "grey50", ...) } \arguments{ \item{database}{map data, see \code{\link[maps]{map}} for details} \item{regions}{map region} \item{fill}{fill colour} \item{colour}{border colour} \item{...}{other arguments passed onto \code{\link{geom_polygon}}} } \description{ Create a layer of map borders. } \examples{ if (require("maps")) { ia <- map_data("county", "iowa") mid_range <- function(x) mean(range(x)) library(plyr) seats <- ddply(ia, .(subregion), colwise(mid_range, .(lat, long))) ggplot(ia, aes(long, lat)) + geom_polygon(aes(group = group), fill = NA, colour = "grey60") + geom_text(aes(label = subregion), data = seats, size = 2, angle = 45) data(us.cities) capitals <- subset(us.cities, capital == 2) ggplot(capitals, aes(long, lat)) + borders("state") + geom_point(aes(size = pop)) + scale_area() } } ggplot2/man/msleep.Rd0000644000175100001440000000205112114160774014176 0ustar hornikusers\docType{data} \name{msleep} \alias{msleep} \title{An updated and expanded version of the mammals sleep dataset.} \format{A data frame with 83 rows and 11 variables} \description{ This is an updated and expanded version of the mammals sleep dataset. Updated sleep times and weights were taken from V. M. Savage and G. B. West. A quantitative, theoretical framework for understanding mammalian sleep. Proceedings of the National Academy of Sciences, 104 (3):1051-1056, 2007. } \details{ Additional variables order, conservation status and vore were added from wikipedia. \itemize{ \item name. common name \item genus. \item vore. carnivore, omnivore or herbivore? \item order. \item conservation. the conservation status of the animal \item sleep\_total. total amount of sleep, in hours \item sleep\_rem. rem sleep, in hours \item sleep\_cycle. length of sleep cycle, in hours \item awake. amount of time spent awake, in hours \item brainwt. brain weight in kilograms \item bodywt. body weight in kilograms } } \keyword{datasets} ggplot2/man/fortify.sp.Rd0000644000175100001440000000233712114161113015007 0ustar hornikusers\name{fortify.sp} \alias{fortify.Line} \alias{fortify.Lines} \alias{fortify.Polygon} \alias{fortify.Polygons} \alias{fortify.SpatialLinesDataFrame} \alias{fortify.SpatialPolygons} \alias{fortify.SpatialPolygonsDataFrame} \alias{fortify.sp} \title{Fortify method for classes from the sp package.} \usage{ \method{fortify}{SpatialPolygonsDataFrame} (model, data, region = NULL, ...) \method{fortify}{SpatialPolygons} (model, data, ...) \method{fortify}{Polygons} (model, data, ...) \method{fortify}{Polygon} (model, data, ...) \method{fortify}{SpatialLinesDataFrame} (model, data, ...) \method{fortify}{Lines} (model, data, ...) \method{fortify}{Line} (model, data, ...) } \arguments{ \item{model}{\code{SpatialPolygonsDataFrame} to convert into a dataframe.} \item{data}{not used by this method} \item{region}{name of variable used to split up regions} \item{...}{not used by this method} } \description{ To figure out the correct variable name for region, inspect \code{as.data.frame(model)}. } \examples{ if (require("maptools")) { sids <- system.file("shapes/sids.shp", package="maptools") nc1 <- readShapePoly(sids, proj4string = CRS("+proj=longlat +datum=NAD27")) nc1_df <- fortify(nc1) } } ggplot2/man/geom_freqpoly.Rd0000644000175100001440000000270612114160774015570 0ustar hornikusers\name{geom_freqpoly} \alias{geom_freqpoly} \title{Frequency polygon.} \usage{ geom_freqpoly(mapping = NULL, data = NULL, stat = "bin", position = "identity", ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ Frequency polygon. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "freqpoly")} } \examples{ qplot(carat, data = diamonds, geom = "freqpoly") qplot(carat, data = diamonds, geom = "freqpoly", binwidth = 0.1) qplot(carat, data = diamonds, geom = "freqpoly", binwidth = 0.01) qplot(price, data = diamonds, geom = "freqpoly", binwidth = 1000) qplot(price, data = diamonds, geom = "freqpoly", binwidth = 1000, colour = color) qplot(price, ..density.., data = diamonds, geom = "freqpoly", binwidth = 1000, colour = color) } \seealso{ \code{\link{geom_histogram}}: histograms } ggplot2/man/coord_expand_defaults.Rd0000644000175100001440000000042112114160774017244 0ustar hornikusers\name{coord_expand_defaults} \alias{coord_expand_defaults} \title{Set the default expand values for the scale, if NA} \usage{ coord_expand_defaults(coord, scale, aesthetic = NULL) } \description{ Set the default expand values for the scale, if NA } \keyword{internal} ggplot2/man/stat_contour.Rd0000644000175100001440000000462312114160774015444 0ustar hornikusers\name{stat_contour} \alias{stat_contour} \title{Calculate contours of 3d data.} \usage{ stat_contour(mapping = NULL, data = NULL, geom = "path", position = "identity", na.rm = FALSE, ...) } \arguments{ \item{na.rm}{If \code{FALSE} (the default), removes missing values with a warning. If \code{TRUE} silently removes missing values.} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{geom}{The geometric object to use display the data} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \value{ A data frame with additional column: \item{level}{height of contour} } \description{ Calculate contours of 3d data. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "contour")} } \examples{ \donttest{ # Generate data library(reshape2) # for melt volcano3d <- melt(volcano) names(volcano3d) <- c("x", "y", "z") # Basic plot v <- ggplot(volcano3d, aes(x, y, z = z)) v + stat_contour() # Setting bins creates evenly spaced contours in the range of the data v + stat_contour(bins = 2) v + stat_contour(bins = 10) # Setting binwidth does the same thing, parameterised by the distance # between contours v + stat_contour(binwidth = 2) v + stat_contour(binwidth = 5) v + stat_contour(binwidth = 10) v + stat_contour(binwidth = 2, size = 0.5, colour = "grey50") + stat_contour(binwidth = 10, size = 1) # Add aesthetic mappings v + stat_contour(aes(size = ..level..)) v + stat_contour(aes(colour = ..level..)) # Change scale v + stat_contour(aes(colour = ..level..), size = 2) + scale_colour_gradient(low = "brown", high = "white") # Set aesthetics to fixed value v + stat_contour(colour = "red") v + stat_contour(size = 2, linetype = 4) # Try different geoms v + stat_contour(geom="polygon", aes(fill=..level..)) v + geom_tile(aes(fill = z)) + stat_contour() # Use qplot instead qplot(x, y, z = z, data = volcano3d, geom = "contour") qplot(x, y, z = z, data = volcano3d, stat = "contour", geom = "path") } } ggplot2/man/theme_blank.Rd0000644000175100001440000000075512114160774015173 0ustar hornikusers\name{theme_blank} \alias{theme_blank} \alias{theme_line} \alias{theme_rect} \alias{theme_segment} \alias{theme_text} \title{Deprecated theme_xx functions} \usage{ theme_blank(...) theme_rect(...) theme_line(...) theme_segment(...) theme_text(...) } \arguments{ \item{...}{Arguments to be passed to the appropriate \code{element_xx} function.} } \description{ The \code{theme_xx} functions have been deprecated. They are replaced with the \code{element_xx} functions. } ggplot2/man/stat_ydensity.Rd0000644000175100001440000000460712114160774015625 0ustar hornikusers\name{stat_ydensity} \alias{stat_ydensity} \title{1d kernel density estimate along y axis, for violin plot.} \usage{ stat_ydensity(mapping = NULL, data = NULL, geom = "violin", position = "dodge", adjust = 1, kernel = "gaussian", trim = TRUE, scale = "area", na.rm = FALSE, ...) } \arguments{ \item{trim}{If \code{TRUE} (default), trim the tails of the violins to the range of the data. If \code{FALSE}, don't trim the tails.} \item{scale}{if "area" (default), all violins have the same area (before trimming the tails). If "count", areas are scaled proportionally to the number of observations. If "width", all violins have the same maximum width.} \item{na.rm}{If \code{FALSE} (the default), removes missing values with a warning. If \code{TRUE} silently removes missing values.} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{geom}{The geometric object to use display the data} \item{position}{The position adjustment to use for overlappling points on this layer} \item{adjust}{see \code{\link{density}} for details} \item{kernel}{kernel used for density estimation, see \code{\link{density}} for details} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \value{ A data frame with additional columns: \item{density}{density estimate} \item{scaled}{density estimate, scaled to maximum of 1} \item{count}{density * number of points - probably useless for violin plots} \item{violinwidth}{density scaled for the violin plot, according to area, counts or to a constant maximum width} \item{n}{number of points} \item{width}{width of violin bounding box} } \description{ 1d kernel density estimate along y axis, for violin plot. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "ydensity")} } \examples{ # See geom_violin for examples # Also see stat_density for similar examples with data along x axis } \seealso{ \code{\link{geom_violin}} for examples, and \code{\link{stat_density}} for examples with data along the x axis. } ggplot2/man/geom_dotplot.Rd0000644000175100001440000001217612114160774015416 0ustar hornikusers\name{geom_dotplot} \alias{geom_dotplot} \title{Dot plot} \usage{ geom_dotplot(mapping = NULL, data = NULL, stat = "bindot", position = "identity", na.rm = FALSE, binwidth = NULL, binaxis = "x", method = "dotdensity", binpositions = "bygroup", stackdir = "up", stackratio = 1, dotsize = 1, stackgroups = FALSE, ...) } \arguments{ \item{binaxis}{which axis to bin along "x" (default) or "y"} \item{method}{"dotdensity" (default) for dot-density binning, or "histodot" for fixed bin widths (like stat_bin)} \item{binwidth}{When \code{method} is "dotdensity", this specifies maximum bin width. When method is "histodot", this specifies bin width. Defaults to 1/30 of the range of the data} \item{binpositions}{When \code{method} is "dotdensity", "bygroup" (default) determines positions of the bins for each group separately. "all" determines positions of the bins with all the data taken together; this is used for aligning dot stacks across multiple groups.} \item{stackdir}{which direction to stack the dots. "up" (default), "down", "center", "centerwhole" (centered, but with dots aligned)} \item{stackratio}{how close to stack the dots. Default is 1, where dots just just touch. Use smaller values for closer, overlapping dots.} \item{dotsize}{The diameter of the dots relative to \code{binwidth}, default 1.} \item{stackgroups}{should dots be stacked across groups? This has the effect that \code{position = "stack"} should have, but can't (because this geom has some odd properties).} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{na.rm}{If \code{FALSE} (the default), removes missing values with a warning. If \code{TRUE} silently removes missing values.} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ In a dot plot, the width of a dot corresponds to the bin width (or maximum width, depending on the binning algorithm), and dots are stacked, with each dot representing one observation. } \details{ With dot-density binning, the bin positions are determined by the data and \code{binwidth}, which is the maximum width of each bin. See Wilkinson (1999) for details on the dot-density binning algorithm. With histodot binning, the bins have fixed positions and fixed widths, much like a histogram. When binning along the x axis and stacking along the y axis, the numbers on y axis are not meaningful, due to technical limitations of ggplot2. You can hide the y axis, as in one of the examples, or manually scale it to match the number of dots. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "dotplot")} } \examples{ ggplot(mtcars, aes(x = mpg)) + geom_dotplot() ggplot(mtcars, aes(x = mpg)) + geom_dotplot(binwidth = 1.5) # Use fixed-width bins ggplot(mtcars, aes(x = mpg)) + geom_dotplot(method="histodot", binwidth = 1.5) # Some other stacking methods ggplot(mtcars, aes(x = mpg)) + geom_dotplot(binwidth = 1.5, stackdir = "center") ggplot(mtcars, aes(x = mpg)) + geom_dotplot(binwidth = 1.5, stackdir = "centerwhole") # y axis isn't really meaningful, so hide it ggplot(mtcars, aes(x = mpg)) + geom_dotplot(binwidth = 1.5) + scale_y_continuous(name = "", breaks = NA) # Overlap dots vertically ggplot(mtcars, aes(x = mpg)) + geom_dotplot(binwidth = 1.5, stackratio = .7) # Expand dot diameter ggplot(mtcars, aes(x =mpg)) + geom_dotplot(binwidth = 1.5, dotsize = 1.25) # Examples with stacking along y axis instead of x ggplot(mtcars, aes(x = 1, y = mpg)) + geom_dotplot(binaxis = "y", stackdir = "center") ggplot(mtcars, aes(x = factor(cyl), y = mpg)) + geom_dotplot(binaxis = "y", stackdir = "center") ggplot(mtcars, aes(x = factor(cyl), y = mpg)) + geom_dotplot(binaxis = "y", stackdir = "centerwhole") ggplot(mtcars, aes(x = factor(vs), fill = factor(cyl), y = mpg)) + geom_dotplot(binaxis = "y", stackdir = "center", position = "dodge") # binpositions="all" ensures that the bins are aligned between groups ggplot(mtcars, aes(x = factor(am), y = mpg)) + geom_dotplot(binaxis = "y", stackdir = "center", binpositions="all") # Stacking multiple groups, with different fill ggplot(mtcars, aes(x = mpg, fill = factor(cyl))) + geom_dotplot(stackgroups = TRUE, binwidth = 1, binpositions = "all") ggplot(mtcars, aes(x = mpg, fill = factor(cyl))) + geom_dotplot(stackgroups = TRUE, binwidth = 1, method = "histodot") ggplot(mtcars, aes(x = 1, y = mpg, fill = factor(cyl))) + geom_dotplot(binaxis = "y", stackgroups = TRUE, binwidth = 1, method = "histodot") } \references{ Wilkinson, L. (1999) Dot plots. The American Statistician, 53(3), 276-281. } ggplot2/man/rweave.Rd0000644000175100001440000000040512114160774014203 0ustar hornikusers\name{rweave} \alias{rweave} \title{Row weave.} \usage{ rweave(...) } \arguments{ \item{...}{matrices to weave together} } \description{ Weave together two (or more) matrices by row. } \details{ Matrices must have same dimensions. } \keyword{internal} ggplot2/man/ggorder.Rd0000644000175100001440000000041612114160774014345 0ustar hornikusers\name{ggorder} \alias{ggorder} \title{A plot to investigate the order in which observations were recorded.} \usage{ ggorder(data) } \arguments{ \item{data}{data set to plot} } \description{ A plot to investigate the order in which observations were recorded. } ggplot2/man/aes_position.Rd0000644000175100001440000000345412114160774015415 0ustar hornikusers\name{aes_position} \alias{aes_position} \alias{x} \alias{xend} \alias{xmax} \alias{xmin} \alias{y} \alias{yend} \alias{ymax} \alias{ymin} \title{Position related aesthetics: x, y, xmin, xmax, ymin, ymax, xend, yend} \description{ This page demonstrates the usage of a sub-group of aesthetics; x, y, xmin, xmax, ymin, ymax, xend, and yend. } \examples{ # Generate data: means and standard errors of means for prices # for each type of cut dmod <- lm(price ~ cut, data = diamonds) cuts <- data.frame(cut = unique(diamonds$cut), predict(dmod, data.frame(cut = unique(diamonds$cut)), se = TRUE)[c("fit", "se.fit")]) se <- ggplot(cuts, aes(x = cut, y = fit, ymin = fit - se.fit, ymax = fit + se.fit, colour = cut)) se + geom_pointrange() # Boxplot with precomputed statistics # generate sample data library(plyr) abc <- adply(matrix(rnorm(100), ncol = 5), 2, quantile, c(0, .25, .5, .75, 1)) b <- ggplot(abc, aes(x = X1, ymin = "0\%", lower = "25\%", middle = "50\%", upper = "75\%", ymax = "100\%")) b + geom_boxplot(stat = "identity") # Using annotate p <- ggplot(mtcars, aes(wt, mpg)) + geom_point() p + annotate("rect", xmin = 2, xmax = 3.5, ymin = 2, ymax = 25, fill = "dark grey", alpha = .5) # Geom_segment examples library(grid) p + geom_segment(aes(x = 2, y = 15, xend = 2, yend = 25), arrow = arrow(length = unit(0.5, "cm"))) p + geom_segment(aes(x = 2, y = 15, xend = 3, yend = 15), arrow = arrow(length = unit(0.5, "cm"))) p + geom_segment(aes(x = 5, y = 30, xend = 3.5, yend = 25), arrow = arrow(length = unit(0.5, "cm"))) # You can also use geom_segment to recreate plot(type = "h") : counts <- as.data.frame(table(x = rpois(100, 5))) counts$x <- as.numeric(as.character(counts$x)) with(counts, plot(x, Freq, type = "h", lwd = 10)) qplot(x, Freq, data = counts, geom = "segment", yend = 0, xend = x, size = I(10)) } ggplot2/man/geom_jitter.Rd0000644000175100001440000000405412114160774015226 0ustar hornikusers\name{geom_jitter} \alias{geom_jitter} \title{Points, jittered to reduce overplotting.} \usage{ geom_jitter(mapping = NULL, data = NULL, stat = "identity", position = "jitter", na.rm = FALSE, ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{na.rm}{If \code{FALSE} (the default), removes missing values with a warning. If \code{TRUE} silently removes missing values.} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ The jitter geom is a convenient default for geom_point with position = 'jitter'. See \code{\link{position_jitter}} to see how to adjust amount of jittering. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "jitter")} } \examples{ p <- ggplot(mpg, aes(displ, hwy)) p + geom_point() p + geom_point(position = "jitter") # Add aesthetic mappings p + geom_jitter(aes(colour = cyl)) # Vary parameters p + geom_jitter(position = position_jitter(width = .5)) p + geom_jitter(position = position_jitter(height = .5)) # Use qplot instead qplot(displ, hwy, data = mpg, geom = "jitter") qplot(class, hwy, data = mpg, geom = "jitter") qplot(class, hwy, data = mpg, geom = c("boxplot", "jitter")) qplot(class, hwy, data = mpg, geom = c("jitter", "boxplot")) } \seealso{ \code{\link{geom_point}} for regular, unjittered points, \code{\link{geom_boxplot}} for another way of looking at the conditional distribution of a variable, \code{\link{position_jitter}} for examples of using jittering with other geoms } ggplot2/man/aes_all.Rd0000644000175100001440000000051312114160774014312 0ustar hornikusers\name{aes_all} \alias{aes_all} \title{Given a character vector, create a set of identity mappings} \usage{ aes_all(vars) } \arguments{ \item{vars}{vector of variable names} } \description{ Given a character vector, create a set of identity mappings } \examples{ aes_all(names(mtcars)) aes_all(c("x", "y", "col", "pch")) } ggplot2/man/geom_blank.Rd0000644000175100001440000000324212114160774015012 0ustar hornikusers\name{geom_blank} \alias{geom_blank} \title{Blank, draws nothing.} \usage{ geom_blank(mapping = NULL, data = NULL, stat = "identity", position = "identity", ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ The blank geom draws nothing, but can be a useful way of ensuring common scales between different plots. } \examples{ qplot(length, rating, data = movies, geom = "blank") # Nothing to see here! # Take the following scatter plot a <- ggplot(mtcars, aes(x = wt, y = mpg), . ~ cyl) + geom_point() # Add to that some lines with geom_abline() df <- data.frame(a = rnorm(10, 25), b = rnorm(10, 0)) a + geom_abline(aes(intercept = a, slope = b), data = df) # Suppose you then wanted to remove the geom_point layer # If you just remove geom_point, you will get an error b <- ggplot(mtcars, aes(x = wt, y = mpg)) \dontrun{b + geom_abline(aes(intercept = a, slope = b), data = df)} # Switching to geom_blank() gets the desired plot c <- ggplot(mtcars, aes(x = wt, y = mpg)) + geom_blank() c + geom_abline(aes(intercept = a, slope = b), data = df) } ggplot2/man/geom_linerange.Rd0000644000175100001440000000415712114160774015675 0ustar hornikusers\name{geom_linerange} \alias{geom_linerange} \title{An interval represented by a vertical line.} \usage{ geom_linerange(mapping = NULL, data = NULL, stat = "identity", position = "identity", ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ An interval represented by a vertical line. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "linerange")} } \examples{ # Generate data: means and standard errors of means for prices # for each type of cut dmod <- lm(price ~ cut, data=diamonds) cuts <- data.frame(cut=unique(diamonds$cut), predict(dmod, data.frame(cut = unique(diamonds$cut)), se=TRUE)[c("fit","se.fit")]) qplot(cut, fit, data=cuts) # With a bar chart, we are comparing lengths, so the y-axis is # automatically extended to include 0 qplot(cut, fit, data=cuts, geom="bar") # Display estimates and standard errors in various ways se <- ggplot(cuts, aes(cut, fit, ymin = fit - se.fit, ymax=fit + se.fit, colour = cut)) se + geom_linerange() se + geom_pointrange() se + geom_errorbar(width = 0.5) se + geom_crossbar(width = 0.5) # Use coord_flip to flip the x and y axes se + geom_linerange() + coord_flip() } \seealso{ \code{\link{geom_errorbar}}: error bars; \code{\link{geom_pointrange}}: range indicated by straight line, with point in the middle; \code{\link{geom_crossbar}}: hollow bar with middle indicated by horizontal line; \code{\link{stat_summary}}: examples of these guys in use; \code{\link{geom_smooth}}: for continuous analog } ggplot2/man/coord_trans.Rd0000644000175100001440000000450212114160774015231 0ustar hornikusers\name{coord_trans} \alias{coord_trans} \title{Transformed cartesian coordinate system.} \usage{ coord_trans(xtrans = "identity", ytrans = "identity", limx = NULL, limy = NULL) } \arguments{ \item{xtrans,ytrans}{transformers for x and y axes} \item{limx,limy}{limits for x and y axes. (Named so for backward compatability)} } \description{ \code{coord_trans} is different to scale transformations in that it occurs after statistical transformation and will affect the visual appearance of geoms - there is no guarantee that straight lines will continue to be straight. } \details{ All current transformations only work with continuous values - see \code{\link[scales]{trans_new}} for list of transformations, and instructions on how to create your own. } \examples{ \donttest{ # See ?geom_boxplot for other examples # Three ways of doing transformating in ggplot: # * by transforming the data qplot(log10(carat), log10(price), data=diamonds) # * by transforming the scales qplot(carat, price, data=diamonds, log="xy") qplot(carat, price, data=diamonds) + scale_x_log10() + scale_y_log10() # * by transforming the coordinate system: qplot(carat, price, data=diamonds) + coord_trans(x = "log10", y = "log10") # The difference between transforming the scales and # transforming the coordinate system is that scale # transformation occurs BEFORE statistics, and coordinate # transformation afterwards. Coordinate transformation also # changes the shape of geoms: d <- subset(diamonds, carat > 0.5) qplot(carat, price, data = d, log="xy") + geom_smooth(method="lm") qplot(carat, price, data = d) + geom_smooth(method="lm") + coord_trans(x = "log10", y = "log10") # Here I used a subset of diamonds so that the smoothed line didn't # drop below zero, which obviously causes problems on the log-transformed # scale # With a combination of scale and coordinate transformation, it's # possible to do back-transformations: library(scales) qplot(carat, price, data=diamonds, log="xy") + geom_smooth(method="lm") + coord_trans(x = exp_trans(10), y = exp_trans(10)) # cf. qplot(carat, price, data=diamonds) + geom_smooth(method = "lm") # Also works with discrete scales df <- data.frame(a = abs(rnorm(26)),letters) plot <- ggplot(df,aes(a,letters)) + geom_point() plot + coord_trans(x = "log10") plot + coord_trans(x = "sqrt") } } ggplot2/man/gg-add.Rd0000644000175100001440000000402712114161113014025 0ustar hornikusers\name{+.gg} \alias{+.gg} \alias{\%+\%} \alias{\%+replace\%} \title{Modify a ggplot or theme object by adding on new components.} \usage{ \method{+}{gg} (e1, e2) %+%(e1, e2) %+replace%(e1, e2) } \arguments{ \item{e1}{An object of class \code{ggplot} or \code{theme}} \item{e2}{A component to add to \code{e1}} } \description{ This operator allows you to add objects to a ggplot or theme object. } \details{ If the first object is an object of class \code{ggplot}, you can add the following types of objects, and it will return a modified ggplot object. \itemize{ \item \code{data.frame}: replace current data.frame (must use \code{\%+\%}) \item \code{uneval}: replace current aesthetics \item \code{layer}: add new layer \item \code{theme}: update plot theme \item \code{scale}: replace current scale \item \code{coord}: override current coordinate system \item \code{facet}: override current coordinate faceting } If the first object is an object of class \code{theme}, you can add another theme object. This will return a modified theme object. For theme objects, the \code{+} operator and the \code{\%+replace\%} can be used to modify elements in themes. The \code{+} operator completely replaces elements with elements from e2. In contrast, the \code{\%+replace\%} operator does not replace the entire element; it only updates element properties which are present (not NULL) in the second object. } \examples{ ### Adding objects to a ggplot object p <- qplot(wt, mpg, colour = hp, data = mtcars) p + coord_cartesian(ylim = c(0, 40)) p + scale_colour_continuous(breaks = c(100, 300)) p + guides(colour = "colourbar") # Use a different data frame m <- mtcars[1:10, ] p \%+\% m ### Adding objects to a theme object # Compare these results of adding theme objects to other theme objects add_el <- theme_grey() + theme(text = element_text(family = "Times")) rep_el <- theme_grey() \%+replace\% theme(text = element_text(family = "Times")) add_el$text rep_el$text } \seealso{ \code{\link{theme}} } ggplot2/man/fortify.Rd0000644000175100001440000000101212114160774014367 0ustar hornikusers\name{fortify} \alias{fortify} \title{Fortify a model with data.} \usage{ fortify(model, data, ...) } \arguments{ \item{model}{model or other R object to convert to data frame} \item{data}{original dataset, if needed} \item{...}{other arguments passed to methods} } \description{ Method to convert a generic R object into a data frame useful for plotting. Takes its name from the idea of fortifying the original data with model fit statistics, and vice versa. } \seealso{ \code{\link{fortify.lm}} } ggplot2/man/guide_colourbar.Rd0000644000175100001440000001420512114160774016062 0ustar hornikusers\name{guide_colourbar} \alias{guide_colorbar} \alias{guide_colourbar} \title{Contiuous colour bar guide.} \usage{ guide_colourbar(title = waiver(), title.position = NULL, title.theme = NULL, title.hjust = NULL, title.vjust = NULL, label = TRUE, label.position = NULL, label.theme = NULL, label.hjust = NULL, label.vjust = NULL, barwidth = NULL, barheight = NULL, nbin = 20, raster = TRUE, ticks = TRUE, draw.ulim = TRUE, draw.llim = TRUE, direction = NULL, default.unit = "line", reverse = FALSE, order = 0, ...) guide_colorbar(title = waiver(), title.position = NULL, title.theme = NULL, title.hjust = NULL, title.vjust = NULL, label = TRUE, label.position = NULL, label.theme = NULL, label.hjust = NULL, label.vjust = NULL, barwidth = NULL, barheight = NULL, nbin = 20, raster = TRUE, ticks = TRUE, draw.ulim = TRUE, draw.llim = TRUE, direction = NULL, default.unit = "line", reverse = FALSE, order = 0, ...) } \arguments{ \item{barwidth}{A numeric or a unit object specifying the width of the colorbar. Default value is \code{legend.key.width} or \code{legend.key.size} in \code{\link{theme}} or theme.} \item{barheight}{A numeric or a unit object specifying the height of the colorbar. Default value is \code{legend.key.height} or \code{legend.key.size} in \code{\link{theme}} or theme.} \item{nbin}{A numeric specifying the number of bins for drawing colorbar. A smoother colorbar for a larger value.} \item{raster}{A logical. If \code{TRUE} then the colorbar is rendered as a raster object. If \code{FALSE} then the colorbar is rendered as a set of rectangles. Note that not all graphics devices are capable of rendering raster image.} \item{ticks}{A logical specifying if tick marks on colorbar should be visible.} \item{draw.ulim}{A logical specifying if the upper limit tick marks should be visible.} \item{draw.llim}{A logical specifying if the lower limit tick marks should be visible.} \item{direction}{A character string indicating the direction of the guide. One of "horizontal" or "vertical."} \item{default.unit}{A character string indicating unit for \code{barwidth}} \item{reverse}{logical. If \code{TRUE} the colorbar is reversed. By default, the highest value is on the top and the lowest value is on the bottom} \item{...}{ignored.} \item{title}{A character string or expression indicating a title of guide. If \code{NULL}, the title is not shown. By default (\code{\link{waiver}}), the name of the scale object or tha name specified in \code{\link{labs}} is used for the title.} \item{title.position}{A character string indicating the position of a title. One of "top" (default for a vertical guide), "bottom", "left" (default for a horizontal guide), or "right."} \item{title.theme}{A theme object for rendering the title text. Usually the object of \code{\link{element_text}} is expected. By default, the theme is specified by \code{legend.title} in \code{\link{theme}} or theme.} \item{title.hjust}{A number specifying horizontal justification of the title text.} \item{title.vjust}{A number specifying vertical justification of the title text.} \item{label}{logical. If \code{TRUE} then the labels are drawn. If \code{FALSE} then the labels are invisible.} \item{label.position}{A character string indicating the position of a label. One of "top", "bottom" (default for horizontal guide), "left", or "right" (default for vertical gudie).} \item{label.theme}{A theme object for rendering the label text. Usually the object of \code{\link{element_text}} is expected. By default, the theme is specified by \code{legend.text} in \code{\link{theme}} or theme.} \item{label.hjust}{A numeric specifying horizontal justification of the label text.} \item{label.vjust}{A numeric specifying vertical justification of the label text.} \item{order}{positive integer less that 99 that specify the order of this guide in the multiple guides. If 0 (default), the order is determined by a secret algorithm.} } \value{ A guide object } \description{ Colour bar guide shows continuous color scales mapped onto values. Colour bar is available with \code{scale_fill} and \code{scale_colour}. For more information, see the inspiration for this function: \href{http://www.mathworks.com/help/techdoc/ref/colorbar.html}{Matlab's colorbar function}. } \details{ Guides can be specified in each scale or in \code{\link{guides}}. \code{guide="legend"} in scale is syntax sugar for \code{guide=guide_legend()} - but the second form allows you to specify more options. As for how to specify the guide for each scales, see \code{\link{guides}}. } \examples{ library(reshape2) # for melt df <- melt(outer(1:4, 1:4), varnames = c("X1", "X2")) p1 <- ggplot(df, aes(X1, X2)) + geom_tile(aes(fill = value)) p2 <- p1 + geom_point(aes(size = value)) # Basic form p1 + scale_fill_continuous(guide = "colorbar") p1 + scale_fill_continuous(guide = guide_colorbar()) p1 + guides(fill = guide_colorbar()) # Control styles # bar size p1 + guides(fill = guide_colorbar(barwidth = 0.5, barheight = 10)) # no label p1 + guides(fill = guide_colorbar(label = FALSE)) # no tick marks p1 + guides(fill = guide_colorbar(ticks = FALSE)) # label position p1 + guides(fill = guide_colorbar(label.position = "left")) # label theme p1 + guides(fill = guide_colorbar(label.theme = element_text(colour = "blue", angle = 0))) # small number of bins p1 + guides(fill = guide_colorbar(nbin = 3)) # large number of bins p1 + guides(fill = guide_colorbar(nbin = 100)) # make top- and bottom-most ticks invisible p1 + scale_fill_continuous(limits = c(0,20), breaks=c(0, 5, 10, 15, 20), guide = guide_colorbar(nbin=100, draw.ulim = FALSE, draw.llim = FALSE)) # guides can be controlled independently p2 + scale_fill_continuous(guide = "colorbar") + scale_size(guide = "legend") p2 + guides(fill = "colorbar", size = "legend") p2 + scale_fill_continuous(guide = guide_colorbar(direction = "horizontal")) + scale_size(guide = guide_legend(direction = "vertical")) } \seealso{ Other guides: \code{\link{guide_legend}}, \code{\link{guides}} } ggplot2/man/translate_qplot_ggplot.Rd0000644000175100001440000000707012114160774017507 0ustar hornikusers\name{translate_qplot_ggplot} \alias{translate_qplot_ggplot} \title{Translating between qplot and ggplot} \description{ Within ggplot2, there are two basic methods to create plots, with qplot() and ggplot(). qplot() is designed primarily for interactive use: it makes a number of assumptions that speed most cases, but when designing multilayered plots with different data sources it can get in the way. This section describes what those defaults are, and how they map to the fuller ggplot() syntax. } \examples{ # By default, qplot() assumes that you want a scatterplot, # i.e., you want to use geom_point() # qplot(x, y, data = data) # ggplot(data, aes(x, y)) + geom_point() # Using Aesthetics # If you map additional aesthetics, these will be added to the defaults. With # qplot() there is no way to use different aesthetic mappings (or data) in # different layers # qplot(x, y, data = data, shape = shape, colour = colour) # ggplot(data, aes(x, y, shape = shape, colour = colour)) + geom_point() # # Aesthetic parameters in qplot() always try to map the aesthetic to a # variable. If the argument is not a variable but a value, effectively a new column # is added to the original dataset with that value. To set an aesthetic to a # value and override the default appearance, you surround the value with I() in # qplot(), or pass it as a parameter to the layer. # qplot(x, y, data = data, colour = I("red")) # ggplot(data, aes(x, y)) + geom_point(colour = "red") # Changing the geom parameter changes the geom added to the plot # qplot(x, y, data = data, geom = "line") # ggplot(data, aes(x, y)) + geom_line() # Not all geoms require both x and y, e.g., geom_bar() and geom_histogram(). # For these two geoms, if the y aesthetic is not supplied, both qplot and # ggplot commands default to "count" on the y-axis # ggplot(data, aes(x)) + geom_bar() # qplot(x, data = data, geom = "bar") # If a vector of multiple geom names is supplied to the geom argument, each # geom will be added in turn # qplot(x, y, data = data, geom = c("point", "smooth")) # ggplot(data, aes(x, y)) + geom_point() + geom_smooth() # Unlike the rest of ggplot2, stats and geoms are independent # qplot(x, y, data = data, stat = "bin") # ggplot(data, aes(x, y)) + geom_point(stat = "bin") # # Any layer parameters will be passed on to all layers. Most layers will ignore # parameters that they don't need # qplot(x, y, data = data, geom = c("point", "smooth"), method = "lm") # ggplot(data, aes(x, y)) + geom_point(method = "lm") + geom_smooth(method = "lm") # Scales and axes # You can control basic properties of the x and y scales with the xlim, ylim, # xlab and ylab arguments # qplot(x, y, data = data, xlim = c(1, 5), xlab = "my label") # ggplot(data, aes(x, y)) + geom_point() + # scale_x_continuous("my label", limits = c(1, 5)) # qplot(x, y, data = data, xlim = c(1, 5), ylim = c(10, 20)) # ggplot(data, aes(x, y)) + geom_point() + # scale_x_continuous(limits = c(1, 5)) + scale_y_continuous(limits = c(10, 20)) # Like plot(), qplot() has a convenient way of log transforming the axes. # qplot(x, y, data = data, log = "xy") # ggplot(data, aes(x, y)) + geom_point() + scale_x_log10() + scale_y_log10() # There are many other possible transformations, but not all are # accessible from within qplot(), see ?scale_continuous for more # Plot options # qplot() recognises the same options as plot does, and converts them to their # ggplot2 equivalents. See ?theme for more on ggplot options # qplot(x, y, data = data, main="title", asp = 1) # ggplot(data, aes(x, y)) + geom_point() + labs(title = "title") + theme(aspect.ratio = 1) } ggplot2/man/labs.Rd0000644000175100001440000000170212114160774013634 0ustar hornikusers\name{labs} \alias{ggtitle} \alias{labs} \alias{xlab} \alias{ylab} \title{Change axis labels and legend titles} \usage{ labs(...) xlab(label) ylab(label) ggtitle(label) } \arguments{ \item{label}{The text for the axis or plot title.} \item{...}{a list of new names in the form aesthetic = "new name"} } \description{ Change axis labels and legend titles } \examples{ p <- qplot(mpg, wt, data = mtcars) p + labs(title = "New plot title") p + labs(x = "New x label") p + xlab("New x label") p + ylab("New y label") p + ggtitle("New plot title") # This should work indepdendently of other functions that modify the # the scale names p + ylab("New y label") + ylim(2, 4) p + ylim(2, 4) + ylab("New y label") # The labs function also modifies legend labels p <- qplot(mpg, wt, data = mtcars, colour = cyl) p + labs(colour = "Cylinders") # Can also pass in a list, if that is more convenient p + labs(list(title = "Title", x = "X", y = "Y")) } ggplot2/man/geom_hex.Rd0000644000175100001440000000175412114160774014515 0ustar hornikusers\name{geom_hex} \alias{geom_hex} \title{Hexagon bining.} \usage{ geom_hex(mapping = NULL, data = NULL, stat = "binhex", position = "identity", ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ Hexagon bining. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "hex")} } \examples{ # See ?stat_binhex for examples } ggplot2/man/waiver.Rd0000644000175100001440000000062612114160774014214 0ustar hornikusers\name{waiver} \alias{waiver} \title{A waiver object.} \usage{ waiver() } \description{ A waiver is a "flag" object, similar to \code{NULL}, that indicates the calling function should just use the default value. It is used in certain functions to distinguish between displaying nothing (\code{NULL}) and displaying a default value calculated elsewhere (\code{waiver()}) } \keyword{internal} ggplot2/man/aes_group_order.Rd0000644000175100001440000000702412114160774016075 0ustar hornikusers\name{aes_group_order} \alias{aes_group_order} \alias{group} \alias{order} \title{Aesthetics: group, order} \description{ Aesthetics: group, order } \examples{ \donttest{ # By default, the group is set to the interaction of all discrete variables in the # plot. This often partitions the data correctly, but when it does not, or when # no discrete variable is used in the plot, you will need to explicitly define the # grouping structure, by mapping group to a variable that has a different value # for each group. # For most applications you can simply specify the grouping with # various aesthetics (colour, shape, fill, linetype) or with facets. p <- ggplot(mtcars, aes(wt, mpg)) # A basic scatter plot p + geom_point(size = 4) # The colour aesthetic p + geom_point(aes(colour = factor(cyl)), size = 4) # Or you can use shape to distinguish the data p + geom_point(aes(shape = factor(cyl)), size = 4) # Using fill a <- ggplot(mtcars, aes(factor(cyl))) a + geom_bar() a + geom_bar(aes(fill = factor(cyl))) a + geom_bar(aes(fill = factor(vs))) # Using linetypes library(reshape2) # for melt library(plyr) # for colwise rescale01 <- function(x) (x - min(x)) / diff(range(x)) ec_scaled <- data.frame( date = economics$date, colwise(rescale01)(economics[, -(1:2)])) ecm <- melt(ec_scaled, id = "date") f <- ggplot(ecm, aes(date, value)) f + geom_line(aes(linetype = variable)) # Using facets k <- ggplot(diamonds, aes(carat, ..density..)) + geom_histogram(binwidth = 0.2) k + facet_grid(. ~ cut) # There are three common cases where the default is not enough, and we # will consider each one below. In the following examples, we will use a simple # longitudinal dataset, Oxboys, from the nlme package. It records the heights # (height) and centered ages (age) of 26 boys (Subject), measured on nine # occasions (Occasion). # Multiple groups with one aesthetic library(nlme) h <- ggplot(Oxboys, aes(age, height)) # A single line tries to connect all the observations h + geom_line() # The group aesthetic maps a different line for each subject h + geom_line(aes(group = Subject)) # Different groups on different layers h <- h + geom_line(aes(group = Subject)) # Using the group aesthetic with both geom_line() and geom_smooth() # groups the data the same way for both layers h + geom_smooth(aes(group = Subject), method = "lm", se = FALSE) # Changing the group aesthetic for the smoother layer # fits a single line of best fit across all boys h + geom_smooth(aes(group = 1), size = 2, method = "lm", se = FALSE) # Overriding the default grouping # The plot has a discrete scale but you want to draw lines that connect across # groups. This is the strategy used in interaction plots, profile plots, and parallel # coordinate plots, among others. For example, we draw boxplots of height at # each measurement occasion boysbox <- ggplot(Oxboys, aes(Occasion, height)) boysbox + geom_boxplot() # There is no need to specify the group aesthetic here; the default grouping # works because occasion is a discrete variable. To overlay individual trajectories # we again need to override the default grouping for that layer with aes(group = Subject) boysbox <- boysbox + geom_boxplot() boysbox + geom_line(aes(group = Subject), colour = "blue") # Use the order aesthetic to change stacking order of bar charts w <- ggplot(diamonds, aes(clarity, fill = cut)) w + geom_bar() w + geom_bar(aes(order = desc(cut))) # Can also be used to change plot order of scatter plots d <- ggplot(diamonds, aes(carat, price, colour = cut)) d + geom_point() d + geom_point(aes(order = sample(seq_along(carat)))) } } ggplot2/man/geom_path.Rd0000644000175100001440000001051612114160774014661 0ustar hornikusers\name{geom_path} \alias{geom_path} \title{Connect observations in original order} \usage{ geom_path(mapping = NULL, data = NULL, stat = "identity", position = "identity", lineend = "butt", linejoin = "round", linemitre = 1, na.rm = FALSE, arrow = NULL, ...) } \arguments{ \item{lineend}{Line end style (round, butt, square)} \item{linejoin}{Line join style (round, mitre, bevel)} \item{linemitre}{Line mitre limit (number greater than 1)} \item{arrow}{Arrow specification, as created by ?grid::arrow} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{na.rm}{If \code{FALSE} (the default), removes missing values with a warning. If \code{TRUE} silently removes missing values.} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ Connect observations in original order } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "path")} } \examples{ \donttest{ # Generate data library(plyr) myear <- ddply(movies, .(year), colwise(mean, .(length, rating))) p <- ggplot(myear, aes(length, rating)) p + geom_path() # Add aesthetic mappings p + geom_path(aes(size = year)) p + geom_path(aes(colour = year)) # Change scale p + geom_path(aes(size = year)) + scale_size(range = c(1, 3)) # Set aesthetics to fixed value p + geom_path(colour = "green") # Control line join parameters df <- data.frame(x = 1:3, y = c(4, 1, 9)) base <- ggplot(df, aes(x, y)) base + geom_path(size = 10) base + geom_path(size = 10, lineend = "round") base + geom_path(size = 10, linejoin = "mitre", lineend = "butt") # Use qplot instead qplot(length, rating, data=myear, geom="path") # Using economic data: # How is unemployment and personal savings rate related? qplot(unemploy/pop, psavert, data=economics) qplot(unemploy/pop, psavert, data=economics, geom="path") qplot(unemploy/pop, psavert, data=economics, geom="path", size=as.numeric(date)) # How is rate of unemployment and length of unemployment? qplot(unemploy/pop, uempmed, data=economics) qplot(unemploy/pop, uempmed, data=economics, geom="path") qplot(unemploy/pop, uempmed, data=economics, geom="path") + geom_point(data=head(economics, 1), colour="red") + geom_point(data=tail(economics, 1), colour="blue") qplot(unemploy/pop, uempmed, data=economics, geom="path") + geom_text(data=head(economics, 1), label="1967", colour="blue") + geom_text(data=tail(economics, 1), label="2007", colour="blue") # geom_path removes missing values on the ends of a line. # use na.rm = T to suppress the warning message df <- data.frame( x = 1:5, y1 = c(1, 2, 3, 4, NA), y2 = c(NA, 2, 3, 4, 5), y3 = c(1, 2, NA, 4, 5), y4 = c(1, 2, 3, 4, 5)) qplot(x, y1, data = df, geom = c("point","line")) qplot(x, y2, data = df, geom = c("point","line")) qplot(x, y3, data = df, geom = c("point","line")) qplot(x, y4, data = df, geom = c("point","line")) # Setting line type vs colour/size # Line type needs to be applied to a line as a whole, so it can # not be used with colour or size that vary across a line x <- seq(0.01, .99, length=100) df <- data.frame(x = rep(x, 2), y = c(qlogis(x), 2 * qlogis(x)), group = rep(c("a","b"), each=100)) p <- ggplot(df, aes(x=x, y=y, group=group)) # Should work p + geom_line(linetype = 2) p + geom_line(aes(colour = group), linetype = 2) p + geom_line(aes(colour = x)) # Should fail should_stop(p + geom_line(aes(colour = x), linetype=2)) # Use the arrow parameter to add an arrow to the line # See ?grid::arrow for more details library(grid) c <- ggplot(economics, aes(x = date, y = pop)) # Arrow defaults to "last" c + geom_path(arrow = arrow()) c + geom_path(arrow = arrow(angle = 15, ends = "both", length = unit(0.6, "inches"))) } } \seealso{ \code{\link{geom_line}}: Functional (ordered) lines; \code{\link{geom_polygon}}: Filled paths (polygons); \code{\link{geom_segment}}: Line segments } ggplot2/man/geom_area.Rd0000644000175100001440000000303212114160774014630 0ustar hornikusers\name{geom_area} \alias{geom_area} \title{Area plot.} \usage{ geom_area(mapping = NULL, data = NULL, stat = "identity", position = "stack", na.rm = FALSE, ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{na.rm}{If \code{FALSE} (the default), removes missing values with a warning. If \code{TRUE} silently removes missing values.} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ An area plot is the continuous analog of a stacked bar chart (see \code{\link{geom_bar}}), and can be used to show how composition of the whole varies over the range of x. Choosing the order in which different components is stacked is very important, as it becomes increasing hard to see the individual pattern as you move up the stack. } \details{ An area plot is a special case of \code{\link{geom_ribbon}}, where the minimum of the range is fixed to 0, and the position adjustment defaults to position_stacked. } \examples{ # see geom_ribbon } ggplot2/man/scale_shape.Rd0000644000175100001440000000216612114160774015167 0ustar hornikusers\name{scale_shape} \alias{scale_shape} \alias{scale_shape_continuous} \alias{scale_shape_discrete} \title{Scale for shapes, aka glyphs.} \usage{ scale_shape(..., solid = TRUE) scale_shape_discrete(..., solid = TRUE) scale_shape_continuous(...) } \arguments{ \item{solid}{Are the shapes solid, \code{TRUE}, or hollow \code{FALSE}?} \item{...}{common discrete scale parameters: \code{name}, \code{breaks}, \code{labels}, \code{na.value}, \code{limits} and \code{guide}. See \code{\link{discrete_scale}} for more details} } \description{ A continuous variable can not be mapped to shape. } \examples{ dsmall <- diamonds[sample(nrow(diamonds), 100), ] (d <- qplot(carat, price, data=dsmall, shape=cut)) d + scale_shape(solid = TRUE) # the default d + scale_shape(solid = FALSE) d + scale_shape(name="Cut of diamond") d + scale_shape(name="Cut of\\ndiamond") # To change order of levels, change order of # underlying factor levels(dsmall$cut) <- c("Fair", "Good", "Very Good", "Premium", "Ideal") # Need to recreate plot to pick up new data qplot(price, carat, data=dsmall, shape=cut) # Or for short: d \%+\% dsmall } ggplot2/man/stat_abline.Rd0000644000175100001440000000174512114160774015207 0ustar hornikusers\name{stat_abline} \alias{stat_abline} \title{Add a line with slope and intercept.} \usage{ stat_abline(mapping = NULL, data = NULL, geom = "abline", position = "identity", ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{geom}{The geometric object to use display the data} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ Add a line with slope and intercept. } \examples{ # see geom_abline } \seealso{ \code{\link{geom_abline}} for code examples. } \keyword{internal} ggplot2/man/facet_null.Rd0000644000175100001440000000105412114160774015027 0ustar hornikusers\name{facet_null} \alias{facet_null} \title{Facet specification: a single panel.} \usage{ facet_null(shrink = TRUE) } \arguments{ \item{shrink}{If \code{TRUE}, will shrink scales to fit output of statistics, not raw data. If \code{FALSE}, will be range of raw data before statistical summary.} } \description{ Facet specification: a single panel. } \examples{ # facet_null is the default facetting specification if you # don't override it with facet_grid or facet_wrap ggplot(mtcars, aes(mpg, wt)) + geom_point() qplot(mpg, wt, data = mtcars) } ggplot2/man/ggplot2.Rd0000644000175100001440000000016612114160774014274 0ustar hornikusers\docType{package} \name{ggplot2} \alias{ggplot2} \alias{ggplot2-package} \title{ggplot2.} \description{ ggplot2. } ggplot2/man/stat_summary.Rd0000644000175100001440000001132212114160774015442 0ustar hornikusers\name{stat_summary} \alias{stat_summary} \title{Summarise y values at every unique x.} \usage{ stat_summary(mapping = NULL, data = NULL, geom = "pointrange", position = "identity", ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{geom}{The geometric object to use display the data} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \value{ a data.frame with additional columns: \item{fun.data}{Complete summary function. Should take data frame as input and return data frame as output} \item{fun.ymin}{ymin summary function (should take numeric vector and return single number)} \item{fun.y}{y summary function (should take numeric vector and return single number)} \item{fun.ymax}{ymax summary function (should take numeric vector and return single number)} } \description{ \code{stat_summary} allows for tremendous flexibilty in the specification of summary functions. The summary function can either operate on a data frame (with argument name \code{fun.data}) or on a vector (\code{fun.y}, \code{fun.ymax}, \code{fun.ymin}). } \details{ A simple vector function is easiest to work with as you can return a single number, but is somewhat less flexible. If your summary function operates on a data.frame it should return a data frame with variables that the geom can use. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "summary")} } \examples{ \donttest{ # Basic operation on a small dataset d <- qplot(cyl, mpg, data=mtcars) d + stat_summary(fun.data = "mean_cl_boot", colour = "red") p <- qplot(cyl, mpg, data = mtcars, stat="summary", fun.y = "mean") p # Don't use ylim to zoom into a summary plot - this throws the # data away p + ylim(15, 30) # Instead use coord_cartesian p + coord_cartesian(ylim = c(15, 30)) # You can supply individual functions to summarise the value at # each x: stat_sum_single <- function(fun, geom="point", ...) { stat_summary(fun.y=fun, colour="red", geom=geom, size = 3, ...) } d + stat_sum_single(mean) d + stat_sum_single(mean, geom="line") d + stat_sum_single(median) d + stat_sum_single(sd) d + stat_summary(fun.y = mean, fun.ymin = min, fun.ymax = max, colour = "red") d + aes(colour = factor(vs)) + stat_summary(fun.y = mean, geom="line") # Alternatively, you can supply a function that operates on a data.frame. # A set of useful summary functions is provided from the Hmisc package: stat_sum_df <- function(fun, geom="crossbar", ...) { stat_summary(fun.data=fun, colour="red", geom=geom, width=0.2, ...) } d + stat_sum_df("mean_cl_boot") d + stat_sum_df("mean_sdl") d + stat_sum_df("mean_sdl", mult=1) d + stat_sum_df("median_hilow") # There are lots of different geoms you can use to display the summaries d + stat_sum_df("mean_cl_normal") d + stat_sum_df("mean_cl_normal", geom = "errorbar") d + stat_sum_df("mean_cl_normal", geom = "pointrange") d + stat_sum_df("mean_cl_normal", geom = "smooth") # Summaries are more useful with a bigger data set: mpg2 <- subset(mpg, cyl != 5L) m <- ggplot(mpg2, aes(x=cyl, y=hwy)) + geom_point() + stat_summary(fun.data = "mean_sdl", geom = "linerange", colour = "red", size = 2, mult = 1) + xlab("cyl") m # An example with highly skewed distributions: set.seed(596) mov <- movies[sample(nrow(movies), 1000), ] m2 <- ggplot(mov, aes(x= factor(round(rating)), y=votes)) + geom_point() m2 <- m2 + stat_summary(fun.data = "mean_cl_boot", geom = "crossbar", colour = "red", width = 0.3) + xlab("rating") m2 # Notice how the overplotting skews off visual perception of the mean # supplementing the raw data with summary statistics is _very_ important # Next, we'll look at votes on a log scale. # Transforming the scale means the data are transformed # first, after which statistics are computed: m2 + scale_y_log10() # Transforming the coordinate system occurs after the # statistic has been computed. This means we're calculating the summary on the raw data # and stretching the geoms onto the log scale. Compare the widths of the # standard errors. m2 + coord_trans(y="log10") } } \seealso{ \code{\link{geom_errorbar}}, \code{\link{geom_pointrange}}, \code{\link{geom_linerange}}, \code{\link{geom_crossbar}} for geoms to display summarised data } ggplot2/man/cut_interval.Rd0000644000175100001440000000111012114160774015403 0ustar hornikusers\name{cut_interval} \alias{cut_interval} \title{Cut numeric vector into intervals of equal length.} \usage{ cut_interval(x, n = NULL, length = NULL, ...) } \arguments{ \item{x}{numeric vector} \item{n}{number of intervals to create, OR} \item{length}{length of each interval} \item{...}{other arguments passed on to \code{\link{cut}}} } \description{ Cut numeric vector into intervals of equal length. } \examples{ table(cut_interval(1:100, n = 10)) table(cut_interval(1:100, n = 11)) table(cut_interval(1:100, length = 10)) } \seealso{ \code{\link{cut_number}} } ggplot2/man/stat_boxplot.Rd0000644000175100001440000000357412114160774015446 0ustar hornikusers\name{stat_boxplot} \alias{stat_boxplot} \title{Calculate components of box and whisker plot.} \usage{ stat_boxplot(mapping = NULL, data = NULL, geom = "boxplot", position = "dodge", na.rm = FALSE, coef = 1.5, ...) } \arguments{ \item{coef}{length of the whiskers as multiple of IQR. Defaults to 1.5} \item{na.rm}{If \code{FALSE} (the default), removes missing values with a warning. If \code{TRUE} silently removes missing values.} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{geom}{The geometric object to use display the data} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \value{ A data frame with additional columns: \item{width}{width of boxplot} \item{ymin}{lower whisker = smallest observation greater than or equal to lower hinge - 1.5 * IQR} \item{lower}{lower hinge, 25\% quantile} \item{notchlower}{lower edge of notch = median - 1.58 * IQR / sqrt(n)} \item{middle}{median, 50\% quantile} \item{notchupper}{upper edge of notch = median + 1.58 * IQR / sqrt(n)} \item{upper}{upper hinge, 75\% quantile} \item{ymax}{upper whisker = largest observation less than or equal to upper hinge + 1.5 * IQR} } \description{ Calculate components of box and whisker plot. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "boxplot")} } \examples{ # See geom_boxplot for examples } \seealso{ See \code{\link{geom_boxplot}} for examples. } ggplot2/man/element_blank.Rd0000644000175100001440000000037612114160774015521 0ustar hornikusers\name{element_blank} \alias{element_blank} \title{Theme element: blank. This theme element draws nothing, and assigns no space} \usage{ element_blank() } \description{ Theme element: blank. This theme element draws nothing, and assigns no space } ggplot2/man/xylim.Rd0000644000175100001440000000134212114160774014055 0ustar hornikusers\name{xlim} \alias{xlim} \alias{ylim} \title{Convenience functions to set the limits of the x and y axis.} \usage{ xlim(...) ylim(...) } \arguments{ \item{...}{if numeric, will create a continuous scale, if factor or character, will create a discrete scale.} } \description{ Observations not in this range will be dropped completely and not passed to any other layers. } \examples{ # xlim xlim(15, 20) xlim(20, 15) xlim(c(10, 20)) xlim("a", "b", "c") qplot(mpg, wt, data=mtcars) + xlim(15, 20) # ylim ylim(15, 20) ylim(c(10, 20)) ylim("a", "b", "c") qplot(mpg, wt, data=mtcars) + ylim(15, 20) } \seealso{ For changing x or y axis limits \strong{without} dropping data observations, see \code{\link{coord_cartesian}}. } ggplot2/man/geom_bar.Rd0000644000175100001440000001357512114161113014465 0ustar hornikusers\name{geom_bar} \alias{geom_bar} \title{Bars, rectangles with bases on x-axis} \usage{ geom_bar(mapping = NULL, data = NULL, stat = "bin", position = "stack", ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ The bar geom is used to produce 1d area plots: bar charts for categorical x, and histograms for continuous y. stat_bin explains the details of these summaries in more detail. In particular, you can use the \code{weight} aesthetic to create weighted histograms and barcharts where the height of the bar no longer represent a count of observations, but a sum over some other variable. See the examples for a practical example. } \details{ The heights of the bars commonly represent one of two things: either a count of cases in each group, or the values in a column of the data frame. By default, \code{geom_bar} uses \code{stat="bin"}. This makes the height of each bar equal to the number of cases in each group, and it is incompatible with mapping values to the \code{y} aesthetic. If you want the heights of the bars to represent values in the data, use \code{stat="identity"} and map a value to the \code{y} aesthetic. By default, multiple x's occuring in the same place will be stacked a top one another by position_stack. If you want them to be dodged from side-to-side, see \code{\link{position_dodge}}. Finally, \code{\link{position_fill}} shows relative propotions at each x by stacking the bars and then stretching or squashing to the same height. Sometimes, bar charts are used not as a distributional summary, but instead of a dotplot. Generally, it's preferable to use a dotplot (see \code{geom_point}) as it has a better data-ink ratio. However, if you do want to create this type of plot, you can set y to the value you have calculated, and use \code{stat='identity'} A bar chart maps the height of the bar to a variable, and so the base of the bar must always been shown to produce a valid visual comparison. Naomi Robbins has a nice \href{http://www.b-eye-network.com/view/index.php?cid=2468}{article on this topic}. This is the reason it doesn't make sense to use a log-scaled y axis with a bar chart } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "bar")} } \examples{ \donttest{ # Generate data c <- ggplot(mtcars, aes(factor(cyl))) # By default, uses stat="bin", which gives the count in each category c + geom_bar() c + geom_bar(width=.5) c + geom_bar() + coord_flip() c + geom_bar(fill="white", colour="darkgreen") # Use qplot qplot(factor(cyl), data=mtcars, geom="bar") qplot(factor(cyl), data=mtcars, geom="bar", fill=factor(cyl)) # When the data contains y values in a column, use stat="identity" library(plyr) # Calculate the mean mpg for each level of cyl mm <- ddply(mtcars, "cyl", summarise, mmpg = mean(mpg)) ggplot(mm, aes(x = factor(cyl), y = mmpg)) + geom_bar(stat = "identity") # Stacked bar charts qplot(factor(cyl), data=mtcars, geom="bar", fill=factor(vs)) qplot(factor(cyl), data=mtcars, geom="bar", fill=factor(gear)) # Stacked bar charts are easy in ggplot2, but not effective visually, # particularly when there are many different things being stacked ggplot(diamonds, aes(clarity, fill=cut)) + geom_bar() ggplot(diamonds, aes(color, fill=cut)) + geom_bar() + coord_flip() # Faceting is a good alternative: ggplot(diamonds, aes(clarity)) + geom_bar() + facet_wrap(~ cut) # If the x axis is ordered, using a line instead of bars is another # possibility: ggplot(diamonds, aes(clarity)) + geom_freqpoly(aes(group = cut, colour = cut)) # Dodged bar charts ggplot(diamonds, aes(clarity, fill=cut)) + geom_bar(position="dodge") # compare with ggplot(diamonds, aes(cut, fill=cut)) + geom_bar() + facet_grid(. ~ clarity) # But again, probably better to use frequency polygons instead: ggplot(diamonds, aes(clarity, colour=cut)) + geom_freqpoly(aes(group = cut)) # Often we don't want the height of the bar to represent the # count of observations, but the sum of some other variable. # For example, the following plot shows the number of diamonds # of each colour qplot(color, data=diamonds, geom="bar") # If, however, we want to see the total number of carats in each colour # we need to weight by the carat variable qplot(color, data=diamonds, geom="bar", weight=carat, ylab="carat") # A bar chart used to display means meanprice <- tapply(diamonds$price, diamonds$cut, mean) cut <- factor(levels(diamonds$cut), levels = levels(diamonds$cut)) qplot(cut, meanprice) qplot(cut, meanprice, geom="bar", stat="identity") qplot(cut, meanprice, geom="bar", stat="identity", fill = I("grey50")) # Another stacked bar chart example k <- ggplot(mpg, aes(manufacturer, fill=class)) k + geom_bar() # Use scales to change aesthetics defaults k + geom_bar() + scale_fill_brewer() k + geom_bar() + scale_fill_grey() # To change plot order of class varible # use factor() to change order of levels mpg$class <- factor(mpg$class, levels = c("midsize", "minivan", "suv", "compact", "2seater", "subcompact", "pickup")) m <- ggplot(mpg, aes(manufacturer, fill=class)) m + geom_bar() } } \seealso{ \code{\link{stat_bin}} for more details of the binning alogirithm, \code{\link{position_dodge}} for creating side-by-side barcharts, \code{\link{position_stack}} for more info on stacking, } ggplot2/man/coord_fixed.Rd0000644000175100001440000000242712114160774015205 0ustar hornikusers\name{coord_fixed} \alias{coord_equal} \alias{coord_fixed} \title{Cartesian coordinates with fixed relationship between x and y scales.} \usage{ coord_fixed(ratio = 1, xlim = NULL, ylim = NULL, wise = NULL) } \arguments{ \item{ratio}{aspect ratio, expressed as \code{y / x}} \item{xlim}{limits for the x axis} \item{ylim}{limits for the y axis} \item{wise}{deprecated in 0.9.1} } \description{ A fixed scale coordinate system forces a specified ratio between the physical representation of data units on the axes. The ratio represents the number of units on the y-axis equivalent to one unit on the x-axis. The default, \code{ratio = 1}, ensures that one unit on the x-axis is the same length as one unit on the y-axis. Ratios higher than one make units on the y axis longer than units on the x-axis, and vice versa. This is similar to \code{\link[MASS]{eqscplot}}, but it works for all types of graphics. } \examples{ # ensures that the ranges of axes are equal to the specified ratio by # adjusting the plot aspect ratio qplot(mpg, wt, data = mtcars) + coord_fixed(ratio = 1) qplot(mpg, wt, data = mtcars) + coord_fixed(ratio = 5) qplot(mpg, wt, data = mtcars) + coord_fixed(ratio = 1/5) # Resize the plot to see that the specified aspect ratio is maintained } ggplot2/man/annotation_raster.Rd0000644000175100001440000000304412114160774016446 0ustar hornikusers\name{annotation_raster} \alias{annotation_raster} \title{Annotation: High-performance rectangular tiling.} \usage{ annotation_raster(raster, xmin, xmax, ymin, ymax, interpolate = FALSE) } \arguments{ \item{raster}{raster object to display} \item{xmin,xmax}{x location (in data coordinates) giving horizontal location of raster} \item{ymin,ymax}{y location (in data coordinates) giving vertical location of raster} \item{interpolate}{If \code{TRUE} interpolate linearly, if \code{FALSE} (the default) don't interpolate.} } \description{ This is a special version of \code{\link{geom_raster}} optimised for static annotations that are the same in every panel. These annotations will not affect scales (i.e. the x and y axes will not grow to cover the range of the raster, and the raster must already have its own colours). } \details{ Most useful for adding bitmap images. } \examples{ # Generate data rainbow <- matrix(hcl(seq(0, 360, length = 50 * 50), 80, 70), nrow = 50) qplot(mpg, wt, data = mtcars) + annotation_raster(rainbow, 15, 20, 3, 4) # To fill up whole plot qplot(mpg, wt, data = mtcars) + annotation_raster(rainbow, -Inf, Inf, -Inf, Inf) + geom_point() rainbow2 <- matrix(hcl(seq(0, 360, length = 10), 80, 70), nrow = 1) qplot(mpg, wt, data = mtcars) + annotation_raster(rainbow2, -Inf, Inf, -Inf, Inf) + geom_point() rainbow2 <- matrix(hcl(seq(0, 360, length = 10), 80, 70), nrow = 1) qplot(mpg, wt, data = mtcars) + annotation_raster(rainbow2, -Inf, Inf, -Inf, Inf, interpolate = TRUE) + geom_point() } ggplot2/man/geom_text.Rd0000644000175100001440000000504112114160774014706 0ustar hornikusers\name{geom_text} \alias{geom_text} \title{Textual annotations.} \usage{ geom_text(mapping = NULL, data = NULL, stat = "identity", position = "identity", parse = FALSE, ...) } \arguments{ \item{parse}{If TRUE, the labels will be parsed into expressions and displayed as described in ?plotmath} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ Textual annotations. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "text")} } \examples{ \donttest{ p <- ggplot(mtcars, aes(x=wt, y=mpg, label=rownames(mtcars))) p + geom_text() # Change size of the label p + geom_text(size=10) p <- p + geom_point() # Set aesthetics to fixed value p + geom_text() p + geom_point() + geom_text(hjust=0, vjust=0) p + geom_point() + geom_text(angle = 45) # Add aesthetic mappings p + geom_text(aes(colour=factor(cyl))) p + geom_text(aes(colour=factor(cyl))) + scale_colour_discrete(l=40) p + geom_text(aes(size=wt)) p + geom_text(aes(size=wt)) + scale_size(range=c(3,6)) # You can display expressions by setting parse = TRUE. The # details of the display are described in ?plotmath, but note that # geom_text uses strings, not expressions. p + geom_text(aes(label = paste(wt, "^(", cyl, ")", sep = "")), parse = TRUE) # Add an annotation not from a variable source c <- ggplot(mtcars, aes(wt, mpg)) + geom_point() c + geom_text(data = NULL, x = 5, y = 30, label = "plot mpg vs. wt") # Or, you can use annotate c + annotate("text", label = "plot mpg vs. wt", x = 2, y = 15, size = 8, colour = "red") # Use qplot instead qplot(wt, mpg, data = mtcars, label = rownames(mtcars), geom=c("point", "text")) qplot(wt, mpg, data = mtcars, label = rownames(mtcars), size = wt) + geom_text(colour = "red") # You can specify family, fontface and lineheight p <- ggplot(mtcars, aes(x=wt, y=mpg, label=rownames(mtcars))) p + geom_text(fontface=3) p + geom_text(aes(fontface=am+1)) p + geom_text(aes(family=c("serif", "mono")[am+1])) } } ggplot2/man/geom_errorbar.Rd0000644000175100001440000000470412114160774015545 0ustar hornikusers\name{geom_errorbar} \alias{geom_errorbar} \title{Error bars.} \usage{ geom_errorbar(mapping = NULL, data = NULL, stat = "identity", position = "identity", ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ Error bars. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "errorbar")} } \examples{ # Create a simple example dataset df <- data.frame( trt = factor(c(1, 1, 2, 2)), resp = c(1, 5, 3, 4), group = factor(c(1, 2, 1, 2)), se = c(0.1, 0.3, 0.3, 0.2) ) df2 <- df[c(1,3),] # Define the top and bottom of the errorbars limits <- aes(ymax = resp + se, ymin=resp - se) p <- ggplot(df, aes(fill=group, y=resp, x=trt)) p + geom_bar(position="dodge", stat="identity") # Because the bars and errorbars have different widths # we need to specify how wide the objects we are dodging are dodge <- position_dodge(width=0.9) p + geom_bar(position=dodge) + geom_errorbar(limits, position=dodge, width=0.25) p <- ggplot(df2, aes(fill=group, y=resp, x=trt)) p + geom_bar(position=dodge) p + geom_bar(position=dodge) + geom_errorbar(limits, position=dodge, width=0.25) p <- ggplot(df, aes(colour=group, y=resp, x=trt)) p + geom_point() + geom_errorbar(limits, width=0.2) p + geom_pointrange(limits) p + geom_crossbar(limits, width=0.2) # If we want to draw lines, we need to manually set the # groups which define the lines - here the groups in the # original dataframe p + geom_line(aes(group=group)) + geom_errorbar(limits, width=0.2) } \seealso{ \code{\link{geom_pointrange}}: range indicated by straight line, with point in the middle; \code{\link{geom_linerange}}: range indicated by straight line; \code{\link{geom_crossbar}}: hollow bar with middle indicated by horizontal line; \code{\link{stat_summary}}: examples of these guys in use, \code{\link{geom_smooth}} for continuous analog } ggplot2/man/scale_linetype.Rd0000644000175100001440000000221712114161113015701 0ustar hornikusers\name{scale_linetype} \alias{scale_linetype} \alias{scale_linetype_continuous} \alias{scale_linetype_discrete} \title{Scale for line patterns.} \usage{ scale_linetype(..., na.value = "blank") scale_linetype_continuous(...) scale_linetype_discrete(..., na.value = "blank") } \arguments{ \item{na.value}{The linetype to use for \code{NA} values.} \item{...}{common discrete scale parameters: \code{name}, \code{breaks}, \code{labels}, \code{na.value}, \code{limits} and \code{guide}. See \code{\link{discrete_scale}} for more details} } \description{ Default line types based on a set supplied by Richard Pearson, University of Manchester. Line types can not be mapped to continuous values. } \examples{ library(reshape2) # for melt library(plyr) # for ddply ecm <- melt(economics, id = "date") rescale01 <- function(x) (x - min(x)) / diff(range(x)) ecm <- ddply(ecm, "variable", transform, value = rescale01(value)) qplot(date, value, data=ecm, geom="line", group=variable) qplot(date, value, data=ecm, geom="line", linetype=variable) qplot(date, value, data=ecm, geom="line", colour=variable) # See scale_manual for more flexibility } ggplot2/man/scale_grey.Rd0000644000175100001440000000376112114160774015037 0ustar hornikusers\name{scale_colour_grey} \alias{scale_color_grey} \alias{scale_colour_grey} \alias{scale_fill_grey} \title{Sequential grey colour scale.} \usage{ scale_colour_grey(..., start = 0.2, end = 0.8, na.value = "red") scale_fill_grey(..., start = 0.2, end = 0.8, na.value = "grey50") scale_color_grey(..., start = 0.2, end = 0.8, na.value = "red") } \arguments{ \item{start}{gray value at low end of palette} \item{end}{gray value at high end of palette} \item{...}{Other arguments passed on to \code{\link{discrete_scale}} to control name, limits, breaks, labels and so forth.} \item{na.value}{Colour to use for missing values} } \description{ Based on \code{\link{gray.colors}} } \examples{ p <- qplot(mpg, wt, data=mtcars, colour=factor(cyl)) p + scale_colour_grey() p + scale_colour_grey(end = 0) # You may want to turn off the pale grey background with this scale p + scale_colour_grey() + theme_bw() # Colour of missing values is controlled with na.value: miss <- factor(sample(c(NA, 1:5), nrow(mtcars), rep = TRUE)) qplot(mpg, wt, data = mtcars, colour = miss) + scale_colour_grey() qplot(mpg, wt, data = mtcars, colour = miss) + scale_colour_grey(na.value = "green") } \seealso{ Other colour scales: \code{\link{scale_color_brewer}}, \code{\link{scale_color_continuous}}, \code{\link{scale_color_discrete}}, \code{\link{scale_color_gradient}}, \code{\link{scale_color_gradient2}}, \code{\link{scale_color_gradientn}}, \code{\link{scale_color_hue}}, \code{\link{scale_colour_brewer}}, \code{\link{scale_colour_continuous}}, \code{\link{scale_colour_discrete}}, \code{\link{scale_colour_gradient}}, \code{\link{scale_colour_gradient2}}, \code{\link{scale_colour_gradientn}}, \code{\link{scale_colour_hue}}, \code{\link{scale_fill_brewer}}, \code{\link{scale_fill_continuous}}, \code{\link{scale_fill_discrete}}, \code{\link{scale_fill_gradient}}, \code{\link{scale_fill_gradient2}}, \code{\link{scale_fill_gradientn}}, \code{\link{scale_fill_hue}} } ggplot2/man/geom_rect.Rd0000644000175100001440000000217512114160774014664 0ustar hornikusers\name{geom_rect} \alias{geom_rect} \title{2d rectangles.} \usage{ geom_rect(mapping = NULL, data = NULL, stat = "identity", position = "identity", ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ 2d rectangles. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "rect")} } \examples{ df <- data.frame( x = sample(10, 20, replace = TRUE), y = sample(10, 20, replace = TRUE) ) ggplot(df, aes(xmin = x, xmax = x + 1, ymin = y, ymax = y + 2)) + geom_rect() } ggplot2/man/aes_colour_fill_alpha.Rd0000644000175100001440000000377512114160774017235 0ustar hornikusers\name{aes_colour_fill_alpha} \alias{aes_colour_fill_alpha} \alias{alpha} \alias{color} \alias{colour} \alias{fill} \title{Colour related aesthetics: colour, fill and alpha} \description{ This page demonstrates the usage of a sub-group of aesthetics; colour, fill and alpha. } \examples{ \donttest{ # Bar chart example c <- ggplot(mtcars, aes(factor(cyl))) # Default plotting c + geom_bar() # To change the interior colouring use fill aesthetic c + geom_bar(fill = "red") # Compare with the colour aesthetic which changes just the bar outline c + geom_bar(colour = "red") # Combining both, you can see the changes more clearly c + geom_bar(fill = "white", colour = "red") # The aesthetic fill also takes different colouring scales # setting fill equal to a factor varible uses a discrete colour scale k <- ggplot(mtcars, aes(factor(cyl), fill = factor(vs))) k + geom_bar() # Fill aesthetic can also be used with a continuous variable m <- ggplot(movies, aes(x = rating)) m + geom_histogram() m + geom_histogram(aes(fill = ..count..)) # Some geoms don't use both aesthetics (i.e. geom_point or geom_line) b <- ggplot(economics, aes(x = date, y = unemploy)) b + geom_line() b + geom_line(colour = "green") b + geom_point() b + geom_point(colour = "red") # For large datasets with overplotting the alpha # aesthetic will make the points more transparent df <- data.frame(x = rnorm(5000), y = rnorm(5000)) h <- ggplot(df, aes(x,y)) h + geom_point() h + geom_point(alpha = 0.5) h + geom_point(alpha = 1/10) #If a geom uses both fill and colour, alpha will only modify the fill colour c + geom_bar(fill = "dark grey", colour = "black") c + geom_bar(fill = "dark grey", colour = "black", alpha = 1/3) # Alpha can also be used to add shading j <- b + geom_line() j yrng <- range(economics$unemploy) j <- j + geom_rect(aes(NULL, NULL, xmin = start, xmax = end, fill = party), ymin = yrng[1], ymax = yrng[2], data = presidential) j library(scales) # to access the alpha function j + scale_fill_manual(values = alpha(c("blue", "red"), .3)) } } ggplot2/man/fortify.lm.Rd0000644000175100001440000000427412114160774015013 0ustar hornikusers\name{fortify.lm} \alias{fortify.lm} \title{Supplement the data fitted to a linear model with model fit statistics.} \usage{ \method{fortify}{lm} (model, data = model$model, ...) } \arguments{ \item{model}{linear model} \item{data}{data set, defaults to data used to fit model} \item{...}{not used by this method} } \value{ The original data with extra columns: \item{.hat}{Diagonal of the hat matrix} \item{.sigma}{Estimate of residual standard deviation when corresponding observation is dropped from model} \item{.cooksd}{Cooks distance, \code{\link{cooks.distance}}} \item{.fitted}{Fitted values of model} \item{.resid}{Residuals} \item{.stdresid}{Standardised residuals} } \description{ If you have missing values in your model data, you may need to refit the model with \code{na.action = na.exclude}. } \examples{ mod <- lm(mpg ~ wt, data = mtcars) head(fortify(mod)) head(fortify(mod, mtcars)) plot(mod, which = 1) qplot(.fitted, .resid, data = mod) + geom_hline(yintercept = 0) + geom_smooth(se = FALSE) qplot(.fitted, .stdresid, data = mod) + geom_hline(yintercept = 0) + geom_smooth(se = FALSE) qplot(.fitted, .stdresid, data = fortify(mod, mtcars), colour = factor(cyl)) qplot(mpg, .stdresid, data = fortify(mod, mtcars), colour = factor(cyl)) plot(mod, which = 2) # qplot(sample =.stdresid, data = mod, stat = "qq") + geom_abline() plot(mod, which = 3) qplot(.fitted, sqrt(abs(.stdresid)), data = mod) + geom_smooth(se = FALSE) plot(mod, which = 4) qplot(seq_along(.cooksd), .cooksd, data = mod, geom = "bar", stat="identity") plot(mod, which = 5) qplot(.hat, .stdresid, data = mod) + geom_smooth(se = FALSE) ggplot(mod, aes(.hat, .stdresid)) + geom_vline(size = 2, colour = "white", xintercept = 0) + geom_hline(size = 2, colour = "white", yintercept = 0) + geom_point() + geom_smooth(se = FALSE) qplot(.hat, .stdresid, data = mod, size = .cooksd) + geom_smooth(se = FALSE, size = 0.5) plot(mod, which = 6) ggplot(mod, aes(.hat, .cooksd)) + geom_vline(xintercept = 0, colour = NA) + geom_abline(slope = seq(0, 3, by = 0.5), colour = "white") + geom_smooth(se = FALSE) + geom_point() qplot(.hat, .cooksd, size = .cooksd / .hat, data = mod) + scale_area() } ggplot2/man/is.ggplot.Rd0000644000175100001440000000031512114160774014620 0ustar hornikusers\name{is.ggplot} \alias{is.ggplot} \title{Reports whether x is a ggplot object} \usage{ is.ggplot(x) } \arguments{ \item{x}{An object to test} } \description{ Reports whether x is a ggplot object } ggplot2/man/geom_vline.Rd0000644000175100001440000000471012114160774015041 0ustar hornikusers\name{geom_vline} \alias{geom_vline} \title{Line, vertical.} \usage{ geom_vline(mapping = NULL, data = NULL, stat = "vline", position = "identity", show_guide = FALSE, ...) } \arguments{ \item{show_guide}{should a legend be drawn? (defaults to \code{FALSE})} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ This geom allows you to annotate the plot with vertical lines (see \code{\link{geom_hline}} and \code{\link{geom_abline}} for other types of lines. } \details{ There are two ways to use it. You can either specify the intercept of the line in the call to the geom, in which case the line will be in the same position in every panel. Alternatively, you can supply a different intercept for each panel using a data.frame. See the examples for the differences. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "vline")} } \examples{ # Fixed lines p <- ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point() p + geom_vline(xintercept = 5) p + geom_vline(xintercept = 1:5) p + geom_vline(xintercept = 1:5, colour="green", linetype = "longdash") p + geom_vline(aes(xintercept = wt)) # With coordinate transforms p + geom_vline(aes(xintercept = wt)) + coord_equal() p + geom_vline(aes(xintercept = wt)) + coord_flip() p + geom_vline(aes(xintercept = wt)) + coord_polar() p2 <- p + aes(colour = factor(cyl)) p2 + geom_vline(xintercept = 15) # To display different lines in different facets, you need to # create a data frame. p <- qplot(mpg, wt, data=mtcars, facets = vs ~ am) vline.data <- data.frame(z = c(15, 20, 25, 30), vs = c(0, 0, 1, 1), am = c(0, 1, 0, 1)) p + geom_vline(aes(xintercept = z), vline.data) } \seealso{ \code{\link{geom_hline}} for horizontal lines, \code{\link{geom_abline}} for lines defined by a slope and intercept, \code{\link{geom_segment}} for a more general approach" } ggplot2/man/stat_vline.Rd0000644000175100001440000000171112114160774015063 0ustar hornikusers\name{stat_vline} \alias{stat_vline} \title{Add a vertical line} \usage{ stat_vline(mapping = NULL, data = NULL, geom = "vline", position = "identity", xintercept, ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{geom}{The geometric object to use display the data} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ Add a vertical line } \examples{ # see geom_vline } \seealso{ \code{\link{geom_vline}} for code examples. } \keyword{internal} ggplot2/man/scale_alpha.Rd0000644000175100001440000000172512114160774015154 0ustar hornikusers\name{scale_alpha} \alias{scale_alpha} \alias{scale_alpha_continuous} \alias{scale_alpha_discrete} \title{Alpha scales.} \usage{ scale_alpha(..., range = c(0.1, 1)) scale_alpha_continuous(..., range = c(0.1, 1)) scale_alpha_discrete(..., range = c(0.1, 1)) } \arguments{ \item{...}{Other arguments passed on to \code{\link{continuous_scale}} or \code{\link{discrete_scale}} as appropriate, to control name, limits, breaks, labels and so forth.} \item{range}{range of output alpha values. Should lie between 0 and 1.} } \description{ \code{scale_alpha} is an alias for \code{scale_alpha_continuous} since that is the most common use of alpha, and it saves a bit of typing. } \examples{ (p <- qplot(mpg, cyl, data = mtcars, alpha = cyl)) p + scale_alpha("cylinders") p + scale_alpha("number\\nof\\ncylinders") p + scale_alpha(range = c(0.4, 0.8)) (p <- qplot(mpg, cyl, data=mtcars, alpha = factor(cyl))) p + scale_alpha_discrete(range = c(0.4, 0.8)) } ggplot2/man/rel.Rd0000644000175100001440000000044012114160774013473 0ustar hornikusers\name{rel} \alias{rel} \title{Relative sizing for theme elements} \usage{ rel(x) } \arguments{ \item{x}{A number representing the relative size} } \description{ Relative sizing for theme elements } \examples{ qplot(1:3, 1:3) + theme(axis.title.x = element_text(size = rel(2.5))) } ggplot2/man/geom_segment.Rd0000644000175100001440000000510312114160774015363 0ustar hornikusers\name{geom_segment} \alias{geom_segment} \title{Single line segments.} \usage{ geom_segment(mapping = NULL, data = NULL, stat = "identity", position = "identity", arrow = NULL, lineend = "butt", na.rm = FALSE, ...) } \arguments{ \item{arrow}{specification for arrow heads, as created by arrow()} \item{lineend}{Line end style (round, butt, square)} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{na.rm}{If \code{FALSE} (the default), removes missing values with a warning. If \code{TRUE} silently removes missing values.} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ Single line segments. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "segment")} } \examples{ library(grid) # needed for arrow function p <- ggplot(seals, aes(x = long, y = lat)) (p <- p + geom_segment(aes(xend = long + delta_long, yend = lat + delta_lat), arrow = arrow(length = unit(0.1,"cm")))) if (require("maps")) { xlim <- range(seals$long) ylim <- range(seals$lat) usamap <- data.frame(map("world", xlim = xlim, ylim = ylim, plot = FALSE)[c("x","y")]) usamap <- rbind(usamap, NA, data.frame(map('state', xlim = xlim, ylim = ylim, plot = FALSE)[c("x","y")])) names(usamap) <- c("long", "lat") p + geom_path(data = usamap) + scale_x_continuous(limits = xlim) } # You can also use geom_segment to recreate plot(type = "h") : counts <- as.data.frame(table(x = rpois(100,5))) counts$x <- as.numeric(as.character(counts$x)) with(counts, plot(x, Freq, type = "h", lwd = 10)) qplot(x, Freq, data = counts, geom = "segment", yend = 0, xend = x, size = I(10)) # Adding line segments library(grid) # needed for arrow function b <- ggplot(mtcars, aes(wt, mpg)) + geom_point() b + geom_segment(aes(x = 2, y = 15, xend = 2, yend = 25)) b + geom_segment(aes(x = 2, y = 15, xend = 3, yend = 15)) b + geom_segment(aes(x = 5, y = 30, xend = 3.5, yend = 25), arrow = arrow(length = unit(0.5, "cm"))) } \seealso{ \code{\link{geom_path}} and \code{\link{geom_line}} for multi- segment lines and paths. } ggplot2/man/theme_bw.Rd0000644000175100001440000000046212114160774014507 0ustar hornikusers\name{theme_bw} \alias{theme_bw} \title{A theme with white background and black gridlines.} \usage{ theme_bw(base_size = 12, base_family = "") } \arguments{ \item{base_size}{base font size} \item{base_family}{base font family} } \description{ A theme with white background and black gridlines. } ggplot2/man/geom_density.Rd0000644000175100001440000000252112114160774015401 0ustar hornikusers\name{geom_density} \alias{geom_density} \title{Display a smooth density estimate.} \usage{ geom_density(mapping = NULL, data = NULL, stat = "density", position = "identity", na.rm = FALSE, ...) } \arguments{ \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{na.rm}{If \code{FALSE} (the default), removes missing values with a warning. If \code{TRUE} silently removes missing values.} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ A smooth density estimate calculated by \code{\link{stat_density}}. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "density")} } \examples{ # See stat_density for examples } \seealso{ \code{\link{geom_histogram}} for the histogram and \code{\link{stat_density}} for examples. } ggplot2/man/last_plot.Rd0000644000175100001440000000033512114160774014715 0ustar hornikusers\name{last_plot} \alias{last_plot} \title{Retrieve the last plot to be modified or created.} \usage{ last_plot() } \description{ Retrieve the last plot to be modified or created. } \seealso{ \code{\link{ggsave}} } ggplot2/man/discrete_scale.Rd0000644000175100001440000000426512114160774015673 0ustar hornikusers\name{discrete_scale} \alias{discrete_scale} \title{Discrete scale constructor.} \usage{ discrete_scale(aesthetics, scale_name, palette, name = NULL, breaks = waiver(), labels = waiver(), legend = NULL, limits = NULL, expand = waiver(), na.value = NA, drop = TRUE, guide = "legend") } \arguments{ \item{aesthetics}{the names of the aesthetics that this scale works with} \item{scale_name}{the name of the scale} \item{palette}{a palette function that when called with a single integer argument (the number of levels in the scale) returns the values that they should take} \item{name}{the name of the scale - used as the axis label or the legend title} \item{drop}{drop unused factor levels from the scale (\code{TRUE} or \code{FALSE})} \item{breaks}{control the breaks in the guide. There are four possible types of input: \itemize{ \item \code{NULL}: don't display any breaks \item a character vector giving the breaks as they should appear on the axis or in the legend. \item \code{waiver()} to use the default break computation. \item a function, that when called with a single argument, a character vector giving the limits of the scale, returns a character vector specifying which breaks to display. } This parameter does not affect in any way how the data is scaled - it only affects the appearance of the legend.} \item{limits}{A character vector specifying the data range for the scale. and the default order of their display in guides.} \item{labels}{\code{NULL} for no labels, \code{waiver()} for default labels (labels the same as breaks), a character vector the same length as breaks, or a named character vector whose names are used to match replacement the labels for matching breaks.} \item{legend}{deprecated. Use \code{guide} instead.} \item{expand}{a numeric vector of length two, giving a multiplicative and additive constant used to expand the range of the scales so that there is a small gap between the data and the axes.} \item{na.value}{how should missing values be displayed?} \item{guide}{the name of, or actual function, used to create the guide.} } \description{ Discrete scale constructor. } ggplot2/man/geom_rug.Rd0000644000175100001440000000263212114160774014522 0ustar hornikusers\name{geom_rug} \alias{geom_rug} \title{Marginal rug plots.} \usage{ geom_rug(mapping = NULL, data = NULL, stat = "identity", position = "identity", sides = "bl", ...) } \arguments{ \item{sides}{A string that controls which sides of the plot the rugs appear on. It can be set to a string containing any of \code{"trbl"}, for top, right, bottom, and left.} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{stat}{The statistical transformation to use on the data for this layer.} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \description{ Marginal rug plots. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("geom", "rug")} } \examples{ p <- ggplot(mtcars, aes(x=wt, y=mpg)) p + geom_point() p + geom_point() + geom_rug() p + geom_point() + geom_rug(sides="b") # Rug on bottom only p + geom_point() + geom_rug(sides="trbl") # All four sides p + geom_point() + geom_rug(position='jitter') } ggplot2/man/stat_density.Rd0000644000175100001440000001004312114161113015407 0ustar hornikusers\name{stat_density} \alias{stat_density} \title{1d kernel density estimate.} \usage{ stat_density(mapping = NULL, data = NULL, geom = "area", position = "stack", adjust = 1, kernel = "gaussian", trim = FALSE, na.rm = FALSE, ...) } \arguments{ \item{adjust}{see \code{\link{density}} for details} \item{kernel}{kernel used for density estimation, see \code{\link{density}} for details} \item{trim}{if \code{TRUE}, the default, densities are trimmed to the actual range of the data. If \code{FALSE}, they are extended by the default 3 bandwidths (as specified by the \code{cut} parameter to \code{\link{density}})} \item{na.rm}{If \code{FALSE} (the default), removes missing values with a warning. If \code{TRUE} silently removes missing values.} \item{mapping}{The aesthetic mapping, usually constructed with \code{\link{aes}} or \code{\link{aes_string}}. Only needs to be set at the layer level if you are overriding the plot defaults.} \item{data}{A layer specific dataset - only needed if you want to override the plot defaults.} \item{geom}{The geometric object to use display the data} \item{position}{The position adjustment to use for overlappling points on this layer} \item{...}{other arguments passed on to \code{\link{layer}}. This can include aesthetics whose values you want to set, not map. See \code{\link{layer}} for more details.} } \value{ data.frame with additional columns: \item{density}{density estimate} \item{count}{density * number of points - useful for stacked density plots} \item{scaled}{density estimate, scaled to maximum of 1} } \description{ 1d kernel density estimate. } \section{Aesthetics}{ \Sexpr[results=rd,stage=build]{ggplot2:::rd_aesthetics("stat", "density")} } \examples{ \donttest{ m <- ggplot(movies, aes(x = rating)) m + geom_density() # Adjust parameters m + geom_density(kernel = "rectangular") m + geom_density(kernel = "biweight") m + geom_density(kernel = "epanechnikov") m + geom_density(adjust=1/5) # Very rough m + geom_density(adjust=5) # Very smooth # Adjust aesthetics m + geom_density(aes(fill=factor(Drama)), size=2) # Scale so peaks have same height: m + geom_density(aes(fill=factor(Drama), y = ..scaled..), size=2) m + geom_density(colour="darkgreen", size=2) m + geom_density(colour="darkgreen", size=2, fill=NA) m + geom_density(colour="darkgreen", size=2, fill="green") # Change scales (m <- ggplot(movies, aes(x=votes)) + geom_density(trim = TRUE)) m + scale_x_log10() m + coord_trans(x="log10") m + scale_x_log10() + coord_trans(x="log10") # Also useful with m + stat_bin() # Make a volcano plot ggplot(diamonds, aes(x = price)) + stat_density(aes(ymax = ..density.., ymin = -..density..), fill = "grey50", colour = "grey50", geom = "ribbon", position = "identity") + facet_grid(. ~ cut) + coord_flip() # Stacked density plots # If you want to create a stacked density plot, you need to use # the 'count' (density * n) variable instead of the default density # Loses marginal densities qplot(rating, ..density.., data=movies, geom="density", fill=mpaa, position="stack") # Preserves marginal densities qplot(rating, ..count.., data=movies, geom="density", fill=mpaa, position="stack") # You can use position="fill" to produce a conditional density estimate qplot(rating, ..count.., data=movies, geom="density", fill=mpaa, position="fill") # Need to be careful with weighted data m <- ggplot(movies, aes(x=rating, weight=votes)) m + geom_histogram(aes(y = ..count..)) + geom_density(fill=NA) m <- ggplot(movies, aes(x=rating, weight=votes/sum(votes))) m + geom_histogram(aes(y=..density..)) + geom_density(fill=NA, colour="black") library(plyr) # to access round_any movies$decade <- round_any(movies$year, 10) m <- ggplot(movies, aes(x=rating, colour=decade, group=decade)) m + geom_density(fill=NA) m + geom_density(fill=NA) + aes(y = ..count..) # Use qplot instead qplot(length, data=movies, geom="density", weight=rating) qplot(length, data=movies, geom="density", weight=rating/sum(rating)) } } \seealso{ \code{\link{stat_bin}} for the histogram } ggplot2/man/gg_dep.Rd0000644000175100001440000000224412114161113014126 0ustar hornikusers\name{gg_dep} \alias{gg_dep} \title{Give a deprecation error, warning, or messsage, depending on version number.} \usage{ gg_dep(version, msg) } \arguments{ \item{version}{The last version of ggplot2 where this function was good (in other words, the last version where it was not deprecated).} \item{msg}{The message to print.} } \description{ Version numbers have the format .., like 0.9.2. This function compares the current version number of ggplot2 against the specified \code{version}, which is the most recent version before the function (or other object) was deprecated. } \details{ \code{gg_dep} will give an error, warning, or message, depending on the difference between the current ggplot2 version and the specified \code{version}. If the current major number is greater than \code{version}'s major number, or if the current minor number is more than 1 greater than \code{version}'s minor number, give an error. If the current minor number differs from \code{version}'s minor number by one, give a warning. If the current subminor number differs from \code{version}'s subminor number, print a message. } ggplot2/man/map_data.Rd0000644000175100001440000000245512114160774014467 0ustar hornikusers\name{map_data} \alias{map_data} \title{Create a data frame of map data.} \usage{ map_data(map, region = ".", exact = FALSE, ...) } \arguments{ \item{map}{name of map provided by the \pkg{maps} package. These include \code{\link[maps]{county}}, \code{\link[maps]{france}}, \code{\link[maps]{italy}}, \code{\link[maps]{nz}}, \code{\link[maps]{state}}, \code{\link[maps]{usa}}, \code{\link[maps]{world}}, \code{\link[maps]{world2}}.} \item{region}{name of subregions to include. Defaults to \code{.} which includes all subregion. See documentation for \code{\link[maps]{map}} for more details.} \item{exact}{should the \code{region} be treated as a regular expression (\code{FALSE}) or as a fixed string (\code{TRUE}).} \item{...}{all other arguments passed on to \code{\link[maps]{map}}} } \description{ Create a data frame of map data. } \examples{ if (require("maps")) { states <- map_data("state") arrests <- USArrests names(arrests) <- tolower(names(arrests)) arrests$region <- tolower(rownames(USArrests)) choro <- merge(states, arrests, sort = FALSE, by = "region") choro <- choro[order(choro$order), ] qplot(long, lat, data = choro, group = group, fill = assault, geom = "polygon") qplot(long, lat, data = choro, group = group, fill = assault / murder, geom = "polygon") } } ggplot2/man/theme_classic.Rd0000644000175100001440000000054312114161113015504 0ustar hornikusers\name{theme_classic} \alias{theme_classic} \title{A classic-looking theme, with x and y axis lines and no gridlines.} \usage{ theme_classic(base_size = 12, base_family = "") } \arguments{ \item{base_size}{base font size} \item{base_family}{base font family} } \description{ A classic-looking theme, with x and y axis lines and no gridlines. } ggplot2/man/mpg.Rd0000644000175100001440000000146312114160774013502 0ustar hornikusers\docType{data} \name{mpg} \alias{mpg} \title{Fuel economy data from 1999 and 2008 for 38 popular models of car} \format{A data frame with 234 rows and 11 variables} \description{ This dataset contains a subset of the fuel economy data that the EPA makes available on \url{http://fueleconomy.gov}. It contains only models which had a new release every year between 1999 and 2008 - this was used as a proxy for the popularity of the car. } \details{ \itemize{ \item manufacturer. \item model. \item displ. engine displacement, in litres \item year. \item cyl. number of cylinders \item trans. type of transmission \item drv. f = front-wheel drive, r = rear wheel drive, 4 = 4wd \item cty. city miles per gallon \item hwy. highway miles per gallon \item fl. \item class. } } \keyword{datasets} ggplot2/tests/0000755000175100001440000000000012114160774013013 5ustar hornikusersggplot2/tests/test-all.R0000644000175100001440000000007412114160774014664 0ustar hornikuserslibrary(testthat) library(ggplot2) test_package("ggplot2") ggplot2/README.md0000644000175100001440000000162112114160774013130 0ustar hornikusers# ggplot2 ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and avoid bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce complex multi-layered graphics. To install or update, run: install.packages(c("ggplot2", "plyr")) Find out more at http://had.co.nz/ggplot2, and check out the nearly 500 examples of ggplot in use. If you're interested, you can also sign up to the ggplot2 mailing list at http://groups.google.com/group/ggplot2, or track development at http://github.com/hadley/ggplot2 ## Development To install the development version of ggplot2, it's easiest to use the `devtools` package: # install.packages("devtools") library(devtools) install_github("ggplot2")ggplot2/NAMESPACE0000644000175100001440000002406112114161113013057 0ustar hornikusersS3method("+",gg) S3method("[",uneval) S3method(as.character,uneval) S3method(autoplot,default) S3method(coord_aspect,default) S3method(coord_aspect,fixed) S3method(coord_aspect,map) S3method(coord_aspect,polar) S3method(coord_distance,cartesian) S3method(coord_distance,map) S3method(coord_distance,polar) S3method(coord_distance,trans) S3method(coord_expand_defaults,default) S3method(coord_expand_defaults,polar) S3method(coord_labels,default) S3method(coord_labels,flip) S3method(coord_labels,polar) S3method(coord_range,default) S3method(coord_range,flip) S3method(coord_range,polar) S3method(coord_render_axis_h,default) S3method(coord_render_axis_h,map) S3method(coord_render_axis_h,polar) S3method(coord_render_axis_v,default) S3method(coord_render_axis_v,map) S3method(coord_render_axis_v,polar) S3method(coord_render_bg,default) S3method(coord_render_bg,map) S3method(coord_render_bg,polar) S3method(coord_render_fg,default) S3method(coord_render_fg,polar) S3method(coord_train,cartesian) S3method(coord_train,flip) S3method(coord_train,map) S3method(coord_train,polar) S3method(coord_train,trans) S3method(coord_transform,cartesian) S3method(coord_transform,flip) S3method(coord_transform,map) S3method(coord_transform,polar) S3method(coord_transform,trans) S3method(cweave,list) S3method(cweave,matrix) S3method(drawDetails,dotstackGrob) S3method(drawDetails,zeroGrob) S3method(element_grob,element_blank) S3method(element_grob,element_line) S3method(element_grob,element_rect) S3method(element_grob,element_text) S3method(facet_axes,grid) S3method(facet_axes,wrap) S3method(facet_map_layout,grid) S3method(facet_map_layout,null) S3method(facet_map_layout,wrap) S3method(facet_panels,grid) S3method(facet_panels,wrap) S3method(facet_render,grid) S3method(facet_render,null) S3method(facet_render,wrap) S3method(facet_strips,grid) S3method(facet_strips,wrap) S3method(facet_train_layout,grid) S3method(facet_train_layout,null) S3method(facet_train_layout,wrap) S3method(facet_vars,grid) S3method(facet_vars,null) S3method(facet_vars,wrap) S3method(finite.cases,data.frame) S3method(format,facet) S3method(fortify,"NULL") S3method(fortify,Line) S3method(fortify,Lines) S3method(fortify,Polygon) S3method(fortify,Polygons) S3method(fortify,SpatialLinesDataFrame) S3method(fortify,SpatialPolygons) S3method(fortify,SpatialPolygonsDataFrame) S3method(fortify,cld) S3method(fortify,confint.glht) S3method(fortify,data.frame) S3method(fortify,default) S3method(fortify,glht) S3method(fortify,lm) S3method(fortify,map) S3method(fortify,summary.glht) S3method(ggplot,data.frame) S3method(ggplot,default) S3method(grid.draw,absoluteGrob) S3method(grobHeight,absoluteGrob) S3method(grobHeight,zeroGrob) S3method(grobWidth,absoluteGrob) S3method(grobWidth,zeroGrob) S3method(grobX,absoluteGrob) S3method(grobY,absoluteGrob) S3method(guide_gengrob,colorbar) S3method(guide_gengrob,legend) S3method(guide_geom,colorbar) S3method(guide_geom,legend) S3method(guide_merge,colorbar) S3method(guide_merge,legend) S3method(guide_train,colorbar) S3method(guide_train,legend) S3method(heightDetails,zeroGrob) S3method(interleave,default) S3method(interleave,list) S3method(interleave,unit) S3method(is.linear,cartesian) S3method(is.linear,default) S3method(is.linear,flip) S3method(limits,Date) S3method(limits,POSIXct) S3method(limits,POSIXlt) S3method(limits,character) S3method(limits,factor) S3method(limits,numeric) S3method(plot,ggplot) S3method(predictdf,default) S3method(predictdf,glm) S3method(predictdf,locfit) S3method(predictdf,loess) S3method(print,element) S3method(print,facet) S3method(print,ggplot) S3method(print,proto) S3method(print,rel) S3method(print,scale) S3method(print,theme) S3method(print,uneval) S3method(rweave,list) S3method(rweave,matrix) S3method(scale_break_info,continuous) S3method(scale_break_info,discrete) S3method(scale_breaks,continuous) S3method(scale_breaks,discrete) S3method(scale_breaks_minor,continuous) S3method(scale_breaks_minor,discrete) S3method(scale_clone,continuous) S3method(scale_clone,discrete) S3method(scale_clone,position_d) S3method(scale_dimension,continuous) S3method(scale_dimension,discrete) S3method(scale_dimension,position_d) S3method(scale_expand,default) S3method(scale_is_empty,default) S3method(scale_is_empty,position_d) S3method(scale_labels,continuous) S3method(scale_labels,discrete) S3method(scale_limits,default) S3method(scale_limits,position_d) S3method(scale_map,continuous) S3method(scale_map,date) S3method(scale_map,datetime) S3method(scale_map,discrete) S3method(scale_map,identity) S3method(scale_map,position_c) S3method(scale_map,position_d) S3method(scale_reset,default) S3method(scale_reset,position_d) S3method(scale_train,continuous) S3method(scale_train,discrete) S3method(scale_train,identity) S3method(scale_train,position_d) S3method(scale_transform,continuous) S3method(scale_transform,discrete) S3method(scale_type,Date) S3method(scale_type,POSIXt) S3method(scale_type,character) S3method(scale_type,default) S3method(scale_type,factor) S3method(scale_type,logical) S3method(scale_type,numeric) S3method(str,uneval) S3method(summary,ggplot) S3method(widthDetails,zeroGrob) export("%+%") export("%+replace%") export(aes) export(aes_all) export(aes_auto) export(aes_string) export(annotate) export(annotation_custom) export(annotation_logticks) export(annotation_map) export(annotation_raster) export(autoplot) export(benchplot) export(borders) export(calc_element) export(continuous_scale) export(coord) export(coord_cartesian) export(coord_equal) export(coord_fixed) export(coord_flip) export(coord_map) export(coord_polar) export(coord_trans) export(cut_interval) export(cut_number) export(discrete_scale) export(element_blank) export(element_line) export(element_rect) export(element_text) export(expand_limits) export(facet) export(facet_grid) export(facet_null) export(facet_wrap) export(fortify) export(geom_abline) export(geom_area) export(geom_bar) export(geom_bin2d) export(geom_blank) export(geom_boxplot) export(geom_contour) export(geom_crossbar) export(geom_density) export(geom_density2d) export(geom_dotplot) export(geom_errorbar) export(geom_errorbarh) export(geom_freqpoly) export(geom_hex) export(geom_histogram) export(geom_hline) export(geom_jitter) export(geom_line) export(geom_linerange) export(geom_map) export(geom_path) export(geom_point) export(geom_pointrange) export(geom_polygon) export(geom_quantile) export(geom_raster) export(geom_rect) export(geom_ribbon) export(geom_rug) export(geom_segment) export(geom_smooth) export(geom_step) export(geom_text) export(geom_tile) export(geom_violin) export(geom_vline) export(gg_dep) export(ggfluctuation) export(ggmissing) export(ggorder) export(ggpcp) export(ggplot) export(ggplotGrob) export(ggplot_build) export(ggplot_gtable) export(ggsave) export(ggstructure) export(ggtitle) export(guide_colorbar) export(guide_colourbar) export(guide_legend) export(guides) export(is.coord) export(is.facet) export(is.ggplot) export(is.theme) export(label_both) export(label_bquote) export(label_parsed) export(label_value) export(labs) export(last_plot) export(layer) export(map_data) export(mean_cl_boot) export(mean_cl_normal) export(mean_sdl) export(mean_se) export(median_hilow) export(opts) export(plotmatrix) export(position_dodge) export(position_fill) export(position_identity) export(position_jitter) export(position_stack) export(qplot) export(quickplot) export(rel) export(resolution) export(scale_alpha) export(scale_alpha_continuous) export(scale_alpha_discrete) export(scale_alpha_identity) export(scale_alpha_manual) export(scale_area) export(scale_color_brewer) export(scale_color_continuous) export(scale_color_discrete) export(scale_color_gradient) export(scale_color_gradient2) export(scale_color_gradientn) export(scale_color_grey) export(scale_color_hue) export(scale_color_identity) export(scale_color_manual) export(scale_colour_brewer) export(scale_colour_continuous) export(scale_colour_discrete) export(scale_colour_gradient) export(scale_colour_gradient2) export(scale_colour_gradientn) export(scale_colour_grey) export(scale_colour_hue) export(scale_colour_identity) export(scale_colour_manual) export(scale_fill_brewer) export(scale_fill_continuous) export(scale_fill_discrete) export(scale_fill_gradient) export(scale_fill_gradient2) export(scale_fill_gradientn) export(scale_fill_grey) export(scale_fill_hue) export(scale_fill_identity) export(scale_fill_manual) export(scale_linetype) export(scale_linetype_continuous) export(scale_linetype_discrete) export(scale_linetype_identity) export(scale_linetype_manual) export(scale_shape) export(scale_shape_continuous) export(scale_shape_discrete) export(scale_shape_identity) export(scale_shape_manual) export(scale_size) export(scale_size_area) export(scale_size_continuous) export(scale_size_discrete) export(scale_size_identity) export(scale_size_manual) export(scale_x_continuous) export(scale_x_date) export(scale_x_datetime) export(scale_x_discrete) export(scale_x_log10) export(scale_x_reverse) export(scale_x_sqrt) export(scale_y_continuous) export(scale_y_date) export(scale_y_datetime) export(scale_y_discrete) export(scale_y_log10) export(scale_y_reverse) export(scale_y_sqrt) export(should_stop) export(stat_abline) export(stat_bin) export(stat_bin2d) export(stat_bindot) export(stat_binhex) export(stat_boxplot) export(stat_contour) export(stat_density) export(stat_density2d) export(stat_ecdf) export(stat_function) export(stat_hline) export(stat_identity) export(stat_qq) export(stat_quantile) export(stat_smooth) export(stat_spoke) export(stat_sum) export(stat_summary) export(stat_summary2d) export(stat_summary_hex) export(stat_unique) export(stat_vline) export(stat_ydensity) export(theme) export(theme_blank) export(theme_bw) export(theme_classic) export(theme_get) export(theme_gray) export(theme_grey) export(theme_line) export(theme_minimal) export(theme_rect) export(theme_segment) export(theme_set) export(theme_text) export(theme_update) export(update_element) export(update_geom_defaults) export(update_labels) export(update_stat_defaults) export(waiver) export(xlab) export(xlim) export(ylab) export(ylim) import(digest) import(grid) import(gtable) import(plyr) import(proto) import(reshape2) import(scales) importFrom(MASS,kde2d)