././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1731975823.5876381 reproject-0.14.1/0000755000175100001770000000000014716755220013210 5ustar00runnerdocker././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1731975823.5676382 reproject-0.14.1/.github/0000755000175100001770000000000014716755220014550 5ustar00runnerdocker././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/.github/dependabot.yml0000644000175100001770000000026414716755202017402 0ustar00runnerdockerversion: 2 updates: - package-ecosystem: "github-actions" directory: "/" schedule: interval: "monthly" groups: actions: patterns: - "*" ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/.github/release.yml0000644000175100001770000000046014716755202016713 0ustar00runnerdockerchangelog: exclude: authors: - pre-commit-ci categories: - title: Bug Fixes labels: - bug - title: New Features labels: - enhancement - title: Documentation labels: - Documentation - title: Other Changes labels: - "*" ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1731975823.5676382 reproject-0.14.1/.github/workflows/0000755000175100001770000000000014716755220016605 5ustar00runnerdocker././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/.github/workflows/ci_workflows.yml0000644000175100001770000000302314716755202022036 0ustar00runnerdockername: CI on: schedule: # run every day at 4am UTC - cron: '0 4 * * *' push: pull_request: workflow_dispatch: concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: tests: uses: OpenAstronomy/github-actions-workflows/.github/workflows/tox.yml@924441154cf3053034c6513d5e06c69d262fb9a6 # v1.13.0 with: envs: | - macos: py310-test-oldestdeps - macos: py311-test - macos: py312-test - linux: py310-test-oldestdeps - linux: py311-test - linux: py312-test - linux: py312-test-devdeps - windows: py310-test-oldestdeps - windows: py311-test - windows: py312-test libraries: | apt: - libopenblas-dev coverage: 'codecov' publish: needs: tests uses: OpenAstronomy/github-actions-workflows/.github/workflows/publish.yml@924441154cf3053034c6513d5e06c69d262fb9a6 # v1.13.0 with: test_extras: test test_command: pytest -p no:warnings --pyargs reproject targets: | - cp*-manylinux_x86_64 - cp*-manylinux_aarch64 - cp*-macosx_x86_64 - cp*-macosx_arm64 - cp*-win_amd64 # Developer wheels upload_to_anaconda: ${{ (github.event_name == 'schedule' || github.event_name == 'workflow_dispatch') }} anaconda_user: astropy anaconda_package: reproject anaconda_keep_n_latest: 10 secrets: pypi_token: ${{ secrets.pypi_token }} anaconda_token: ${{ secrets.anaconda_token }} ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/.github/workflows/update-changelog.yaml0000644000175100001770000000176614716755202022712 0ustar00runnerdocker# This workflow takes the GitHub release notes an updates the changelog on the # main branch with the body of the release notes, thereby keeping a log in # the git repo of the changes. name: "Update Changelog" on: release: types: [released] jobs: update: runs-on: ubuntu-latest steps: - name: Checkout code uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2 with: ref: main - name: Update Changelog uses: stefanzweifel/changelog-updater-action@61ce794778aa787ea8d204d9fe2928543cb2fe40 # v1.11.0 with: release-notes: ${{ github.event.release.body }} latest-version: ${{ github.event.release.name }} path-to-changelog: CHANGES.md - name: Commit updated CHANGELOG uses: stefanzweifel/git-auto-commit-action@8621497c8c39c72f3e2a999a26b4ca1b5058a842 # v5.0.1 with: branch: main commit_message: Update CHANGELOG file_pattern: CHANGES.md ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/.gitignore0000644000175100001770000000133414716755202015201 0ustar00runnerdocker# Compiled files *.py[cod] *.a *.o *.so __pycache__ # Ignore .c files by default to avoid including generated code. If you want to # add a non-generated .c extension, use `git add -f filename.c`. *.c # Other generated files */version.py */cython_version.py htmlcov .coverage MANIFEST .ipynb_checkpoints # Sphinx docs/api docs/_build # Eclipse editor project files .project .pydevproject .settings # Pycharm editor project files .idea # Floobits project files .floo .flooignore # Packages/installer info *.egg *.egg-info dist build eggs parts bin var sdist develop-eggs .installed.cfg distribute-*.tar.gz # Other .cache .tox .*.sw[op] *~ .project .pydevproject .settings # Mac OSX .DS_Store .coverage* pip-wheel-metadata/ ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/.pre-commit-config.yaml0000644000175100001770000000535514716755202017501 0ustar00runnerdockerrepos: - repo: https://github.com/pre-commit/pre-commit-hooks rev: v4.6.0 hooks: - id: check-added-large-files - id: check-case-conflict - id: check-yaml - id: debug-statements - id: end-of-file-fixer exclude: ".*(data.*|extern.*|licenses.*|.*.fits)$" - id: trailing-whitespace exclude: ".*(data.*|extern.*|licenses.*|.*.fits)$" # We list the warnings/errors to check for here rather than in setup.cfg because # we don't want these options to apply whenever anyone calls flake8 from the # command-line or their code editor - in this case all warnings/errors should be # checked for. The warnings/errors we check for here are: # E101 - mix of tabs and spaces # W191 - use of tabs # E201 - whitespace after '(' # E202 - whitespace before ')' # W291 - trailing whitespace # W292 - no newline at end of file # W293 - trailing whitespace # W391 - blank line at end of file # E111 - 4 spaces per indentation level # E112 - 4 spaces per indentation level # E113 - 4 spaces per indentation level # E301 - expected 1 blank line, found 0 # E302 - expected 2 blank lines, found 0 # E303 - too many blank lines (3) # E304 - blank lines found after function decorator # E305 - expected 2 blank lines after class or function definition # E306 - expected 1 blank line before a nested definition # E502 - the backslash is redundant between brackets # E722 - do not use bare except # E901 - SyntaxError or IndentationError # E902 - IOError # E999: SyntaxError -- failed to compile a file into an Abstract Syntax Tree # F822: undefined name in __all__ # F823: local variable name referenced before assignment - repo: https://github.com/PyCQA/flake8 rev: 7.1.1 hooks: - id: flake8 args: [ "--count", "--select", "E101,W191,E201,E202,W291,W292,W293,W391,E111,E112,E113,E30,E502,E722,E901,E902,E999,F822,F823", ] exclude: ".*(data.*|extern.*|cextern)$" - repo: https://github.com/psf/black-pre-commit-mirror rev: 24.8.0 hooks: - id: black - repo: https://github.com/numpy/numpydoc rev: v1.8.0 hooks: - id: numpydoc-validation files: ".*(high_level|mosaicking).*$" exclude: ".*(tests.*)$" - repo: https://github.com/scientific-python/cookie rev: 2024.08.19 hooks: - id: sp-repo-review - repo: https://github.com/codespell-project/codespell rev: v2.3.0 hooks: - id: codespell args: ["--write-changes"] additional_dependencies: - tomli - repo: https://github.com/astral-sh/ruff-pre-commit rev: "v0.6.7" hooks: - id: ruff args: ["--fix", "--show-fixes"] ci: autofix_prs: false ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/.readthedocs.yaml0000644000175100001770000000042014716755202016433 0ustar00runnerdockerversion: 2 build: os: ubuntu-20.04 tools: python: "3.10" apt_packages: - graphviz sphinx: builder: html configuration: docs/conf.py fail_on_warning: true python: install: - method: pip extra_requirements: - docs path: . ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/CHANGES.md0000644000175100001770000004065014716755202014607 0ustar00runnerdocker## v0.14.0 - 2024-07-26 ### What's Changed #### Bug Fixes * Support readonly arrays in adaptive by @svank in https://github.com/astropy/reproject/pull/452 * Fix bug with artifacts in reproject_to_healpix by @astrofrog in https://github.com/astropy/reproject/pull/459 #### New Features * Fix multi-threaded reprojection when using Astropy WCS by @astrofrog in https://github.com/astropy/reproject/pull/434 * Generalize reproject_and_coadd for N-dimensional data, and add option to specify blank pixel value and progress bar by @keflavich in https://github.com/astropy/reproject/pull/351 * Improve performance for large datasets and switch to multi-threading by default by @astrofrog in https://github.com/astropy/reproject/pull/443 #### Documentation * Reorganized performance docs/tips by @astrofrog in https://github.com/astropy/reproject/pull/444 #### Other Changes * Don't use --pre on Python 3.12 by @astrofrog in https://github.com/astropy/reproject/pull/445 * Bump minimum required version of astropy-healpix by @astrofrog in https://github.com/astropy/reproject/pull/446 * Improvements to performance when using dask.distributed by @astrofrog in https://github.com/astropy/reproject/pull/447 * Add logging calls and fix a couple of dask-related issues by @astrofrog in https://github.com/astropy/reproject/pull/450 * Fix CI following Sunpy 6.0.0 release by @astrofrog in https://github.com/astropy/reproject/pull/457 * Add a script to regenerate the aia asdf file and do so by @Cadair in https://github.com/astropy/reproject/pull/439 * Fix devdeps CI by @astrofrog in https://github.com/astropy/reproject/pull/458 * Performance improvements for interpolation with map_coordinates by @astrofrog in https://github.com/astropy/reproject/pull/448 **Full Changelog**: https://github.com/astropy/reproject/compare/v0.13.1...v0.14.0 ## v0.13.1 - 2024-04-05 ### What's Changed #### Bug Fixes * Ensure reproject_and_coadd handles bg-matching with one input image by @svank in https://github.com/astropy/reproject/pull/412 * Fixes for mosaic output pixels not covered by inputs by @svank in https://github.com/astropy/reproject/pull/413 #### Documentation * Updated docstrings for output_projection and shape_out to indicate that any APE-14 WCS is acceptable by @astrofrog in https://github.com/astropy/reproject/pull/407 #### Other Changes * Add tests for full range of inputs/outputs in healpix functions by @astrofrog in https://github.com/astropy/reproject/pull/408 * Fix Cython warnings by @svank in https://github.com/astropy/reproject/pull/418 * Fix devdeps job by @astrofrog in https://github.com/astropy/reproject/pull/415 * BLD: pin extension-helpers to 1.* following upstream recommendation by @neutrinoceros in https://github.com/astropy/reproject/pull/420 * Added sp-repo-review to pre-commit by @astrofrog in https://github.com/astropy/reproject/pull/411 * Bump actions/checkout from 2 to 4 by @dependabot in https://github.com/astropy/reproject/pull/422 * Bump stefanzweifel/git-auto-commit-action from 4 to 5 by @dependabot in https://github.com/astropy/reproject/pull/423 * Add configuration for nightly wheels by @astrofrog in https://github.com/astropy/reproject/pull/417 * Fix pre-commit errors by @astrofrog in https://github.com/astropy/reproject/pull/429 * Enable testing of wheels on silicon mac by @astrofrog in https://github.com/astropy/reproject/pull/428 * Build against Numpy 2.0.0rc1 or later by @astrofrog in https://github.com/astropy/reproject/pull/436 ### New Contributors * @neutrinoceros made their first contribution in https://github.com/astropy/reproject/pull/420 * @dependabot made their first contribution in https://github.com/astropy/reproject/pull/422 **Full Changelog**: https://github.com/astropy/reproject/compare/v0.13.0...v0.13.1 ## v0.13.0 - 2023-10-24 ### What's Changed #### Bug Fixes - Fix TestReprojectAndCoAdd failure on i386 by @olebole in https://github.com/astropy/reproject/pull/386 - Fixed a bug that caused reprojected dask arrays to not be computable due to a temporary directory being removed by @astrofrog in https://github.com/astropy/reproject/pull/390 #### New Features - Add ability to specify output array and footprint in reproject_and_coadd by @astrofrog in https://github.com/astropy/reproject/pull/387 - Added ability to set `block_size='auto'` and fix missing parameters in docstrings by @astrofrog in https://github.com/astropy/reproject/pull/392 - Compute footprint in healpix_to_image by @lpsinger in https://github.com/astropy/reproject/pull/400 #### Other Changes - Fix compatibility with Cython 3.0.2 and update version in pyproject.toml by @astrofrog in https://github.com/astropy/reproject/pull/391 - Add tests on Python 3.11 by @dstansby in https://github.com/astropy/reproject/pull/401 - Add testing on Python 3.12 by @dstansby in https://github.com/astropy/reproject/pull/399 - Python 3.12 testing by @dstansby in https://github.com/astropy/reproject/pull/403 - Add testing on Python 3.12 by @astrofrog in https://github.com/astropy/reproject/pull/402 - Enable Python 3.12 wheel building by @astrofrog in https://github.com/astropy/reproject/pull/405 ### New Contributors - @olebole made their first contribution in https://github.com/astropy/reproject/pull/386 **Full Changelog**: https://github.com/astropy/reproject/compare/v0.12.0...v0.13.0 ## v0.12.0 - 2023-09-07 ### What's Changed #### Bug Fixes - Fix support for NDData objects with dask .data attributes by @astrofrog in https://github.com/astropy/reproject/pull/365 - Fix docs mosaic page rendering by @jdavies-st in https://github.com/astropy/reproject/pull/381 #### New Features - Add despike_jacobian option for adaptive resampling by @svank in https://github.com/astropy/reproject/pull/366 - Refactor blocked/parallel reprojection by @astrofrog in https://github.com/astropy/reproject/pull/374 - Add 'first' and 'last' moasicking modes to reproject_and_coadd by @svank in https://github.com/astropy/reproject/pull/383 - Add modes for nan and inf handling to adaptive algo by @svank in https://github.com/astropy/reproject/pull/380 - Added new combine function to compute the minimum and maximum by @fjankowsk in https://github.com/astropy/reproject/pull/369 #### Other Changes - TST: Update URL for Scientific Python nightlies by @pllim in https://github.com/astropy/reproject/pull/368 - Dask support improvements by @astrofrog in https://github.com/astropy/reproject/pull/367 - Fix --remote-data tests by @astrofrog in https://github.com/astropy/reproject/pull/375 - Update docstring for adaptive defaults by @svank in https://github.com/astropy/reproject/pull/378 - Use more points to find image bounds in moasics by @svank in https://github.com/astropy/reproject/pull/382 - Skip Python 3.12 wheels by @astrofrog in https://github.com/astropy/reproject/pull/385 ### New Contributors - @jdavies-st made their first contribution in https://github.com/astropy/reproject/pull/381 - @fjankowsk made their first contribution in https://github.com/astropy/reproject/pull/369 **Full Changelog**: https://github.com/astropy/reproject/compare/v0.11.0...v0.12.0 ## v0.11.0 - 2023-05-19 ### What's Changed #### Bug Fixes - Fix for HighLevelWCS attribute error by @keflavich in https://github.com/astropy/reproject/pull/349 - Fixes for solar frames and non-degree units by @astrofrog in https://github.com/astropy/reproject/pull/360 - If shape_out is specified, use this over the array_shape attribute of a WCS object by @astrofrog in https://github.com/astropy/reproject/pull/361 #### New Features - Allow single inputs to find_optimal_celestial_wcs and add ability to specify HDU by @astrofrog in https://github.com/astropy/reproject/pull/344 - Add support for specifying output projection as APE 14 WCS with array_shape defined by @astrofrog in https://github.com/astropy/reproject/pull/345 - Started adding support for allowing dask arrays as input by @astrofrog in https://github.com/astropy/reproject/pull/352 #### Other Changes - Mark tests that use remote data by @smaret in https://github.com/astropy/reproject/pull/339 - Fix code style by @astrofrog in https://github.com/astropy/reproject/pull/340 - Simplify blocked reprojection implementation by using dask and improve efficiency of parallel reprojection by @astrofrog in https://github.com/astropy/reproject/pull/314 - Remove code that was required for astropy<4 by @astrofrog in https://github.com/astropy/reproject/pull/346 - Add a new 'all' extras for shapely by @astrofrog in https://github.com/astropy/reproject/pull/363 ### New Contributors - @smaret made their first contribution in https://github.com/astropy/reproject/pull/339 **Full Changelog**: https://github.com/astropy/reproject/compare/v0.10.0...v0.11.0 ## v0.10.0 - 2023-01-30 ### What's Changed #### Bug Fixes - Close FITS files after loading by @svank in https://github.com/astropy/reproject/pull/330 #### New Features - Add support for blocked and parallel reprojection in `reproject_interp` by @AlistairSymonds in https://github.com/astropy/reproject/pull/214 - Add support for efficiently reprojecting multiple images with the same wcs by @svank in https://github.com/astropy/reproject/pull/332 - Add support for APE 14 WCSes in find_optimal_celestial_wcs by @astrofrog in https://github.com/astropy/reproject/pull/334 #### Other Changes - Update package infrastructure by @Cadair in https://github.com/astropy/reproject/pull/304 - Changed default filter kernel and boundary mode in `reproject_adaptive`, and removed `order` argument. by @svank in https://github.com/astropy/reproject/pull/291 - Skip wheel tests on manylinux_aarch64 by @astrofrog in https://github.com/astropy/reproject/pull/307 - Reformat all Python code using Black by @Cadair in https://github.com/astropy/reproject/pull/308 - Use pixel_to_pixel from astropy.wcs.utils by @astrofrog in https://github.com/astropy/reproject/pull/315 - Test CI on Python 3.11 beta by @dstansby in https://github.com/astropy/reproject/pull/298 - Update pinned version of Cython by @astrofrog in https://github.com/astropy/reproject/pull/316 - Speed up test_blocked_against_single by increasing smallest block size by @astrofrog in https://github.com/astropy/reproject/pull/319 - Fix weird quotation marks from Black auto-formatting by @svank in https://github.com/astropy/reproject/pull/331 - Fix CI by @astrofrog in https://github.com/astropy/reproject/pull/333 ### New Contributors - @AlistairSymonds made their first contribution in https://github.com/astropy/reproject/pull/214 **Full Changelog**: https://github.com/astropy/reproject/compare/v0.9...v0.10.0 ## 0.9 - 2022-09-02 - Drop support for Python 3.7. - - Infrastructure and packaging updates. - - Made many improvements, bug fixes, and significant speed-ups for the adaptive - resampling algorithm, `reproject_adaptive`. These bug fixes may cause - changes to the reprojected images, which are typically negligible. - Improvements include the addition of a flux-conserving mode, support for a - Gaussian filter kernel, a menu of boundary-handling modes, and a - `center_jacobian` flag to trade speed for accuracy with rapidly-varying - transformations. - - Added a `roundtrip_coords` argument to `reproject_adaptive` and - `reproject_interp`. By default, all coordinate transformations are run in - both directions to handle some situations where they are ambiguous. This can - be disabled by setting `roundtrip_coords=False` which may offer a - significant speed increase. - ## 0.8 - 2021-08-11 - Improve `find_optimal_celestial_wcs` to accept input data descriptions as - just array shapes, not necessarily fully populated arrays. This makes it - possible to solve for the optimal WCS for a set of images that couldn't fit - into memory all at once, since the actual data aren't needed for optimal WCS - determination. [#242] - - Fix implementation of `hdu_weights` in `reproject_and_coadd`. [#249] - ## 0.7.1 - 2020-05-29 - Fixed compatibility with Astropy 4.1. [#234] - - Updated minimum requirement for SciPy. [#236] - ## 0.7 - 2020-04-02 - Made C extension in overlapArea.c thread-safe by removing global - variables. [#211] - - Made it possible to control whether to output debugging information - from overlapArea.c by setting DEBUG_OVERLAP_AREA=1 at build-time. [#211] - - Fix compatibility with astropy v4.0.1. [#227] - - Disable parallelization by default in `reproject_exact` - this can be - enabled with `parallel=True`. [#227] - - Fixed a bug with `reproject_exact` with `parallel=False` and - `return_footprint=False`, which caused the footprint to be returned - anyway. [#227] - - The infrastructure of the package has been updated in line with the - APE 17 roadmap (https://github.com/astropy/astropy-APEs/blob/main/APE17.rst). - The main changes are that the `python setup.py test` and - `python setup.py build_docs` commands will no longer work. The - easiest way to replicate these commands is to install the tox - (https://tox.readthedocs.io) package and run `tox -e test` and - `tox -e build_docs`. It is also possible to run pytest and sphinx - directly. [#228] - ## 0.6 - 2019-11-01 - Added support for using any WCS that conforms to the WCS API described - in the Astropy Proposal for Enhancements 14 (APE 14). The - `independent_celestial_slices=` argument to `reproject_interp` has - been deprecated since it is no longer needed, as transformations are - automatically done in the most efficient way possible. [#166] - - Include a warning for high resolution images with `reproject_exact`, - since if the pixels are <0.05", precision issues can occur. [#200] - - Added a new `reproject_and_coadd` function for doing mosaicking of - individual images, and added section in documentation about mosaicking. - [#186] - - Added a new reproject.adaptive sub-package that implements the DeForest - (2004) algorithm for reprojection. [#52] - - Fixed a bug that caused 'exact' reprojection results to have numerical - issues when doing identity transformations. [#190] - ## 0.5.1 - 2019-09-01 - Fixed a bug that caused 'exact' reprojection to fail if one or more of - the WCSes was oriented such that E and W were flipped. [#188] ## 0.5 - 2019-06-13 - Improve parse_output_projection to make it so that the output projection - can be specified as a filename. [#150] - - Fixed a bug that caused HEALPix maps in RING order to not be correctly - interpreted. [#163] - - Make it possible to specify the output array for reprojection using the - `output_array=` keyword argument. [#115] - ## 0.4 - 2018-01-29 - Refactored HEALPix reprojection code to use the astropy-healpix package - instead of healpy. [#139] - - Added the ability to specify an output array in `reproject_interp`, which - permits the use of memory-mapped arrays and therefore provides the capability - to handle data cubes much larger than memory [#115] - - Fix test 32-bit test failures. [#146] - - Fix an issue with reprojecting images where there are two solutions along - the line of sight by forcing round-tripping of coordinate conversions [#129] - - Explicitly define default HDU as 0 for normal reprojection and 1 for - HEALPix reprojection. [#119] - - Added a function to find the optimal WCS for a set of images. [#136, #137] - ## 0.3.2 - 2017-10-22 - Fix a regression that caused certain all-sky images (e.g. the Mellinger Milky - Way Panorama, http://www.milkywaysky.com) to be reprojected to all NaNs when - the output WCS was in Mollweide coordinates. [#124] ## 0.3.1 - 2016-07-07 - Include missing license file in tarball. - - Updated documentation to remove warnings about early versions. - ## 0.3 - 2016-07-06 - Allow users to pass a `field=` option to `reproject_from_healpix` - to access different fields in a HEALPIX file. [#86] - - Significant improvements to performance when the input data is a large - memory-mapped array. [#105] - - Significant refactoring of interpolating reprojection to improve support for - n-dimensional arrays, optionally including two celestial axes (in which - case the coordinate transformation is taken into account). [#96, #102] - ## 0.2 - 2015-10-29 - Fixed a bug that caused reprojection by interpolation to be truncated for - rectangular output images. ## 0.1 - 2015-05-08 - Initial Release. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/LICENSE0000644000175100001770000000273414716755202014223 0ustar00runnerdockerCopyright (c) 2011-16, Thomas P. Robitaille All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the Astropy project nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/MANIFEST.in0000644000175100001770000000040014716755202014740 0ustar00runnerdockerinclude README.rst include CHANGES.md include LICENSE include pyproject.toml include setup.cfg include pyproject.toml recursive-include reproject *.pyx *.c recursive-include docs * prune build prune docs/_build prune docs/api global-exclude *.pyc *.o ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1731975823.5876381 reproject-0.14.1/PKG-INFO0000644000175100001770000000614714716755220014315 0ustar00runnerdockerMetadata-Version: 2.1 Name: reproject Version: 0.14.1 Summary: Reproject astronomical images Author: Christoph Deil, Adam Ginsburg Author-email: Thomas Robitaille License: BSD 3-Clause Project-URL: Homepage, https://reproject.readthedocs.io Requires-Python: >=3.10 Description-Content-Type: text/x-rst License-File: LICENSE Requires-Dist: numpy>=1.23 Requires-Dist: astropy>=5.0 Requires-Dist: astropy-healpix>=1.0 Requires-Dist: scipy>=1.9 Requires-Dist: dask[array]>=2021.8 Requires-Dist: cloudpickle Requires-Dist: zarr Requires-Dist: fsspec Provides-Extra: all Requires-Dist: shapely; extra == "all" Provides-Extra: test Requires-Dist: pytest-astropy; extra == "test" Provides-Extra: testall Requires-Dist: shapely>=2.0.2; extra == "testall" Requires-Dist: sunpy[map]>=6.0.1; extra == "testall" Requires-Dist: asdf; extra == "testall" Requires-Dist: gwcs; extra == "testall" Requires-Dist: pyvo; extra == "testall" Provides-Extra: docs Requires-Dist: sphinx-astropy; extra == "docs" Requires-Dist: pyvo; extra == "docs" Requires-Dist: matplotlib; extra == "docs" |Docs| |PyPI| |Build Status| |CI Status| |Coverage Status| |Powered by Astropy Badge| About ===== The `reproject` package is a Python package to reproject astronomical images using various techniques via a uniform interface. By *reprojection*, we mean the re-gridding of images from one world coordinate system to another (for example changing the pixel resolution, orientation, coordinate system). Currently, we have implemented reprojection of celestial images by interpolation (like `SWARP `__), by the adaptive and anti-aliased algorithm of `DeForest (2004) `_, and by finding the exact overlap between pixels on the celestial sphere (like `Montage `__). It can also reproject to/from HEALPIX projections by relying on the `astropy-healpix `__ package. For more information, including on how to install the package, see https://reproject.readthedocs.io .. figure:: https://github.com/astrofrog/reproject/raw/master/docs/images/index-4.png :alt: screenshot .. |Docs| image:: https://readthedocs.org/projects/reproject/badge/?version=latest :target: https://reproject.readthedocs.io/en/latest/?badge=latest .. |PyPI| image:: https://img.shields.io/pypi/v/reproject.svg :target: https://pypi.python.org/pypi/reproject .. |Build Status| image:: https://dev.azure.com/astropy-project/reproject/_apis/build/status/astropy.reproject?branchName=main :target: https://dev.azure.com/astropy-project/reproject/_build/latest?definitionId=3&branchName=main .. |CI Status| image:: https://github.com/astropy/reproject/workflows/CI/badge.svg :target: https://github.com/astropy/reproject/actions .. |Coverage Status| image:: https://codecov.io/gh/astropy/reproject/branch/main/graph/badge.svg :target: https://codecov.io/gh/astropy/reproject .. |Powered by Astropy Badge| image:: http://img.shields.io/badge/powered%20by-AstroPy-orange.svg?style=flat :target: https://astropy.org ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/README.rst0000644000175100001770000000403514716755202014701 0ustar00runnerdocker|Docs| |PyPI| |Build Status| |CI Status| |Coverage Status| |Powered by Astropy Badge| About ===== The `reproject` package is a Python package to reproject astronomical images using various techniques via a uniform interface. By *reprojection*, we mean the re-gridding of images from one world coordinate system to another (for example changing the pixel resolution, orientation, coordinate system). Currently, we have implemented reprojection of celestial images by interpolation (like `SWARP `__), by the adaptive and anti-aliased algorithm of `DeForest (2004) `_, and by finding the exact overlap between pixels on the celestial sphere (like `Montage `__). It can also reproject to/from HEALPIX projections by relying on the `astropy-healpix `__ package. For more information, including on how to install the package, see https://reproject.readthedocs.io .. figure:: https://github.com/astrofrog/reproject/raw/master/docs/images/index-4.png :alt: screenshot .. |Docs| image:: https://readthedocs.org/projects/reproject/badge/?version=latest :target: https://reproject.readthedocs.io/en/latest/?badge=latest .. |PyPI| image:: https://img.shields.io/pypi/v/reproject.svg :target: https://pypi.python.org/pypi/reproject .. |Build Status| image:: https://dev.azure.com/astropy-project/reproject/_apis/build/status/astropy.reproject?branchName=main :target: https://dev.azure.com/astropy-project/reproject/_build/latest?definitionId=3&branchName=main .. |CI Status| image:: https://github.com/astropy/reproject/workflows/CI/badge.svg :target: https://github.com/astropy/reproject/actions .. |Coverage Status| image:: https://codecov.io/gh/astropy/reproject/branch/main/graph/badge.svg :target: https://codecov.io/gh/astropy/reproject .. |Powered by Astropy Badge| image:: http://img.shields.io/badge/powered%20by-AstroPy-orange.svg?style=flat :target: https://astropy.org ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/RELEASE_INSTRUCTIONS.md0000644000175100001770000000170714716755202016643 0ustar00runnerdockerMaking a New Reproject Release ============================== A new release of reproject is almost fully automated. As a maintainer it should be nice and simple to do, especially if all merged PRs have nice titles and are correctly labelled. Here is the process to follow to make a new release: * Go through all the PRs since the last release, make sure they have descriptive titles (these will become the changelog entry) and are labelled correctly. * Go to the GitHub releases interface and draft a new release, new tags should include the trailing `.0` on major releases. (Releases prior to 0.10.0 didn't.) * Use the GitHub autochange log generator, this should use the configuration in `.github/release.yml` to make headings based on labels. * Edit the draft release notes as required, particularly to call out major changes at the top. * Publish the release. * Have a beverage of your choosing. (Note the wheels take a very long time to build). ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1731975823.571638 reproject-0.14.1/docs/0000755000175100001770000000000014716755220014140 5ustar00runnerdocker././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/docs/Makefile0000644000175100001770000001074514716755202015607 0ustar00runnerdocker# Makefile for Sphinx documentation # # You can set these variables from the command line. SPHINXOPTS = SPHINXBUILD = sphinx-build PAPER = BUILDDIR = _build # Internal variables. 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The epub file is in $(BUILDDIR)/epub." latex: $(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex @echo @echo "Build finished; the LaTeX files are in $(BUILDDIR)/latex." @echo "Run \`make' in that directory to run these through (pdf)latex" \ "(use \`make latexpdf' here to do that automatically)." latexpdf: $(SPHINXBUILD) -b latex $(ALLSPHINXOPTS) $(BUILDDIR)/latex @echo "Running LaTeX files through pdflatex..." make -C $(BUILDDIR)/latex all-pdf @echo "pdflatex finished; the PDF files are in $(BUILDDIR)/latex." text: $(SPHINXBUILD) -b text $(ALLSPHINXOPTS) $(BUILDDIR)/text @echo @echo "Build finished. The text files are in $(BUILDDIR)/text." man: $(SPHINXBUILD) -b man $(ALLSPHINXOPTS) $(BUILDDIR)/man @echo @echo "Build finished. The manual pages are in $(BUILDDIR)/man." changes: $(SPHINXBUILD) -b changes $(ALLSPHINXOPTS) $(BUILDDIR)/changes @echo @echo "The overview file is in $(BUILDDIR)/changes." linkcheck: $(SPHINXBUILD) -b linkcheck $(ALLSPHINXOPTS) $(BUILDDIR)/linkcheck @echo @echo "Link check complete; look for any errors in the above output " \ "or in $(BUILDDIR)/linkcheck/output.txt." doctest: @echo "Run 'python setup.py test' in the root directory to run doctests " \ @echo "in the documentation." ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/docs/celestial.rst0000644000175100001770000004703514716755202016650 0ustar00runnerdocker********************************** Regular celestial images and cubes ********************************** One of the most common types of data to reproject are celestial images or n-dimensional data (such as spectral cubes) where two of the axes are celestial. There are several existing algorithms that can be used to reproject such data: * **Interpolation** (such as nearest-neighbor, bilinear, biquadratic interpolation and so on). This is the fastest algorithm and is suited to common use cases, but it is important to note that it is not flux conserving, and will not return optimal results if the input and output pixel sizes are very different. * **Drizzling**, which consists of determining the exact overlap fraction of pixels, and optionally allows pixels to be rescaled before reprojection. A description of the algorithm can be found in `Fruchter and Hook (2002) `__. This method is more accurate than interpolation but is only suitable for images where the field of view is small so that pixels are well approximated by rectangles in world coordinates. This is slower but more accurate than interpolation for small fields of view. * **Adaptive resampling**, where care is taken to deal with differing resolutions more accurately than in simple interpolation, as described in `DeForest (2004) `_. This is more accurate than interpolation, especially when the input and output resolutions differ, or when there are strong distortions, for example for large areas of the sky or when reprojecting images that include the solar limb. This algorithm also applies anti-aliasing, and ultimately produces much more accurate photometry than plain interpolation. * Computing the **exact overlap** of pixels on the sky by treating them as **four-sided spherical polygons** on the sky and computing spherical polygon intersection. This is essentially an exact form of drizzling, and should be appropriate for any field of view. However, this comes at a significant performance cost. This is the `algorithm used by the Montage package `_, and we have implemented it here using the same core algorithm. Note that this is only suitable for data being reprojected between spherical celestial coordinates on the sky that share the same origin (that is, it cannot be used to reproject from coordinates on the sky to coordinates on the surface of a spherical body). Currently, this package implements :ref:`interpolation`, :ref:`adaptive resampling`, and :ref:`spherical polygon intersection`. .. note:: The reprojection/resampling is always done assuming that the image is in **surface brightness units**. For example, if you have an image with a constant value of 1, reprojecting the image to an image with twice as high resolution will result in an image where all pixels are all 1. This limitation is due to the interpolation algorithms (the fact that interpolation can be used implicitly assumes that the pixel values can be interpolated which is only the case with surface brightness units). If you have an image in flux units, first convert it to surface brightness, then use the functions described below. In future, we will provide a convenience function to return the area of all the pixels to make it easier. However, the :ref:`adaptive resampling` algorithm provides an option to conserve flux by appropriately rescaling each output pixel. With this option, an image in flux units need not be converted to surface brightness. .. _common: Common options ============== All of the reprojection algorithms implemented in *reproject* are available as functions named as ``reproject_``, e.g. :func:`~reproject.reproject_interp`, :func:`~reproject.reproject_adaptive`, and :func:`~reproject.reproject_exact`. These can be imported from the top-level of the package, e.g.:: >>> from reproject import reproject_interp >>> from reproject import reproject_adaptive >>> from reproject import reproject_exact All functions share a common set of arguments, as well as including algorithm-dependent arguments. In this section, we take a look at some of the common arguments. The reprojection functions take two main arguments. The first argument is the image to reproject, together with WCS information about the image. This can be either: * The name of a FITS file * An :class:`~astropy.io.fits.HDUList` object * An image HDU object such as a :class:`~astropy.io.fits.PrimaryHDU`, :class:`~astropy.io.fits.ImageHDU`, or :class:`~astropy.io.fits.CompImageHDU` instance * A tuple where the first element is a :class:`~numpy.ndarray` and the second element is either a :class:`~astropy.wcs.WCS` or a :class:`~astropy.io.fits.Header` object In the case of a FITS file or an :class:`~astropy.io.fits.HDUList` object, if there is more than one Header-Data Unit (HDU), the ``hdu_in`` keyword argument is also required and should be set to the ID or the name of the HDU to use. The second argument is the WCS information for the output image, which should be specified either as a :class:`~astropy.wcs.WCS` or a :class:`~astropy.io.fits.Header` instance. If this is specified as a :class:`~astropy.wcs.WCS` instance, the ``shape_out`` keyword argument should also be specified, and be given the shape of the output image using the Numpy ``(ny, nx)`` convention (this is because :class:`~astropy.wcs.WCS`, unlike :class:`~astropy.io.fits.Header`, does not contain information about image size). As an example, we start off by opening a FITS file using Astropy:: >>> from astropy.io import fits >>> hdu = fits.open('http://data.astropy.org/galactic_center/gc_msx_e.fits')[0] # doctest: +REMOTE_DATA +IGNORE_OUTPUT Downloading http://data.astropy.org/galactic_center/gc_msx_e.fits [Done] The image is currently using a Plate Carée projection:: >>> hdu.header['CTYPE1'] # doctest: +REMOTE_DATA 'GLON-CAR' We can create a new header using a Gnomonic projection:: >>> new_header = hdu.header.copy() # doctest: +REMOTE_DATA >>> new_header['CTYPE1'] = 'GLON-TAN' # doctest: +REMOTE_DATA >>> new_header['CTYPE2'] = 'GLAT-TAN' # doctest: +REMOTE_DATA And finally we can call the :func:`~reproject.reproject_interp` function to reproject the image using interpolation:: >>> from reproject import reproject_interp >>> new_image, footprint = reproject_interp(hdu, new_header) # doctest: +REMOTE_DATA The reprojection functions return two arrays - the first is the reprojected input image, and the second is a 'footprint' array which shows the fraction of overlap of the input image on the output image grid. This footprint is 0 for output pixels that fall outside the input image, 1 for output pixels that fall inside the input image. For more information about footprint arrays, see the :doc:`footprints` section. To return only the main array and not the footprint, you can set ``return_footprint=False``. We can then easily write out the reprojected image to a new FITS file:: >>> fits.writeto('reprojected_image.fits', new_image, new_header) # doctest: +REMOTE_DATA .. _interpolation: Interpolation ============= The :func:`~reproject.reproject_interp` function can be used to carry out reprojection implemented using simple interpolation:: >>> from reproject import reproject_interp In addition to the arguments described in :ref:`common`, the order of the interpolation can be controlled by setting the ``order=`` argument to either an integer or a string giving the order of the interpolation. Supported strings include: * ``'nearest-neighbor'``: zeroth order interpolation * ``'bilinear'``: first order interpolation * ``'biquadratic'``: second order interpolation * ``'bicubic'``: third order interpolation .. _adaptive: Adaptive resampling =================== The :func:`~reproject.reproject_adaptive` function can be used to carry out anti-aliased reprojection using the `DeForest (2004) `_ algorithm:: >>> from reproject import reproject_adaptive This algorithm provides high-quality photometry through anti-aliased reprojection, which avoids the problems of plain interpolation when the input and output images have different resolutions, and it offers a flux-conserving mode. Options ------- In addition to the arguments described in :ref:`common`, one can use the options described below. A rescaling of output pixel values to conserve flux can be enabled with the ``conserve_flux`` flag. (Flux conservation is stronger with a Gaussian kernel---see below.) The kernel used for interpolation and averaging can be controlled with a set of options. The ``kernel`` argument can be set to 'hann' or 'gaussian' to set the function being used. The Gaussian window is the default, as it provides better anti-aliasing and photometric accuracy (or flux conservation, when the flux-conserving mode is enabled), though at the cost of blurring the output image by a few pixels. The ``kernel_width`` argument sets the width of the Gaussian kernel, in pixels, and is ignored for the Hann window. This width is measured between the Gaussian's :math:`\pm 1 \sigma` points. The default value is 1.3 for the Gaussian, chosen to minimize blurring without compromising accuracy. Lower values may introduce photometric errors or leave input pixels under-sampled, while larger values may improve anti-aliasing behavior but will increase blurring of the output image. Since the Gaussian function has infinite extent, it must be truncated. This is done by sampling within a region of finite size. The width in pixels of the sampling region is determined by the coordinate transform and scaled by the ``sample_region_width`` option, and this scaling represents a trade-off between accuracy and computation speed. The default value of 4 represents a reasonable choice, with errors in extreme cases typically limited to less than one percent, while a value of 5 typically reduces extreme errors to a fraction of a percent. (The ``sample_region_width`` option has no effect for the Hann window, as that window does not have infinite extent.) One can control the calculation of the Jacobian used in this algorithm with the ``center_jacobian`` flag. The Jacobian matrix represents how the corresponding input-image coordinate varies as you move between output pixels (or d(input image coordinate) / d(output image coordinate)), and serves as a local linearization of the coordinate transformation. When this flag is ``True``, the Jacobian is calculated at pixel grid points by calculating the transformation at locations offset by half a pixel, and then doing finite differences on the resulting input-image coordinates. This is more accurate but carries the cost of tripling the number of coordinate transformed done by this routine. This is recommended if your coordinate transform varies significantly and non-smoothly between output pixels. When ``False``, the Jacobian is calculated using the pixel-grid-point transforms that need to be computed anyway, which produces Jacobian values at locations between pixel grid points, and nearby Jacobian values are averaged to produce values at the pixel grid points. This is more efficient, and the loss of accuracy is extremely small for transformations that vary smoothly between pixels. The default (``False``) is to use the faster option. In some situations (e.g. an all-sky map, with a wrap point in the longitude), extremely large Jacobian values may be computed which are artifacts of the coordinate system definition, rather than reflecting the actual nature of the coordinate transformation. This may result in a band of ``nan`` pixels in the output image. In these situations, if the actual transformation is approximately constant in the region of these artifacts, the ``despike_jacobian`` option should be enabled. If enabled, the typical magnitude (distance from the determinant) of the Jacobian matrix, ``Jmag2 = sum_j sum_i (J_ij**2)``, is computed for each pixel and compared to the 25th percentile of that value in the local 3x3 neighborhood (i.e. the third-lowest value). If it exceeds that percentile value by more than 10 times, the Jacobian matrix is deemed to be "spiking" and it is replaced by the average of the non-spiking values in the 3x3 neighborhood. When, for any one output pixel, the sampling region in the input image straddles the boundary of the input image or lies entirely outside the input image, a range of boundary modes can be applied, and this is set with the ``boundary_mode`` option. Allowed values are: * ``strict`` --- Output pixels will be ``NaN`` if any of their input samples fall outside the input image. * ``constant`` --- Samples outside the bounds of the input image are replaced by a constant value, set with the ``boundary_fill_value`` argument. Output values become ``NaN`` if there are no valid input samples. * ``grid-constant`` --- Samples outside the bounds of the input image are replaced by a constant value, set with the ``boundary_fill_value`` argument. Output values will be ``boundary_fill_value`` if there are no valid input samples. * ``ignore`` --- Samples outside the input image are simply ignored, contributing neither to the output value nor the sum-of-weights normalization. If there are no valid input samples, the output value will be ``NaN``. * ``ignore_threshold`` --- Acts as ``ignore``, unless the total weight that would have been assigned to the ignored samples exceeds a set fraction of the total weight across the entire sampling region, set by the ``boundary_ignore_threshold`` argument. In that case, acts as ``strict``. * ``nearest`` --- Samples outside the input image are replaced by the nearest in-bounds input pixel. The input image can also be marked as being cyclic or periodic in the x and/or y axes with the ``x_cyclic`` and ``y_cyclic`` flags. If these are set, samples will wrap around to the opposite side of the image, ignoring the ``boundary_mode`` for that axis. This implementation includes several options for handling ``nan`` and ``inf`` values in the input data, set via the ``bad_value_mode`` argument: * ``strict`` --- Values of ``nan`` or ``inf`` in the input data are propagated to every output value which samples them. * ``ignore`` --- When a sampled input value is ``nan`` or ``inf``, that input pixel is ignored (affected neither the accumulated sum of weighted samples nor the accumulated sum of weights). * ``constant`` --- Input values of ``nan`` and ``inf`` are replaced with a constant value, set via the ``bad_fill_value`` argument. Algorithm Description --------------------- Broadly speaking, the algorithm works by approximating the footprint of each output pixel by an elliptical shape in the input image, which is then stretched and rotated by the transformation (as described by the Jacobian mentioned above), then finding the weighted average of samples inside that ellipse, where the shape of the weighting function is given by an analytical distribution. Hann and Gaussian functions are supported in this implementation, and this choice of functions produces an anti-aliased reprojection. In cases where an image is being reduced in resolution, a region of the input image is averaged to produce each output pixel, while in cases where an image is being magnified, the averaging becomes a non-linear interpolation between nearby input pixels. When a reprojection enlarges some regions in the input image and shrinks other regions, this algorithm smoothly transitions between interpolation and spatial averaging as appropriate for each individual output pixel (and likewise, the amount of spatial averaging is adjusted as the scaling factor varies). This produces high-quality resampling with excellent photometric accuracy. To illustrate the benefits of this method, we consider a simple case where the reprojection includes a large change in resolution. We choose to use an artificial data example to better illustrate the differences: .. plot:: :include-source: import numpy as np from astropy.wcs import WCS import matplotlib.pyplot as plt from reproject import reproject_interp, reproject_adaptive # Set up initial array with pattern input_array = np.zeros((256, 256)) input_array[::20, :] = 1 input_array[:, ::20] = 1 input_array[10::20, 10::20] = 1 # Define a simple input WCS input_wcs = WCS(naxis=2) input_wcs.wcs.crpix = 128.5, 128.5 input_wcs.wcs.cdelt = -0.01, 0.01 # Define a lower resolution output WCS with rotation output_wcs = WCS(naxis=2) output_wcs.wcs.crpix = 30.5, 30.5 output_wcs.wcs.cdelt = -0.0427, 0.0427 output_wcs.wcs.pc = [[0.8, 0.2], [-0.2, 0.8]] # Reproject using interpolation and adaptive resampling result_interp, _ = reproject_interp((input_array, input_wcs), output_wcs, shape_out=(60, 60)) result_hann, _ = reproject_adaptive((input_array, input_wcs), output_wcs, shape_out=(60, 60), kernel='hann') result_gaussian, _ = reproject_adaptive((input_array, input_wcs), output_wcs, shape_out=(60, 60), kernel='gaussian') plt.figure(figsize=(10, 5)) plt.subplot(1, 4, 1) plt.imshow(input_array, origin='lower', vmin=0, vmax=1, interpolation='hanning') plt.tick_params(left=False, bottom=False, labelleft=False, labelbottom=False) plt.title('Input array') plt.subplot(1, 4, 2) plt.imshow(result_interp, origin='lower', vmin=0, vmax=1) plt.tick_params(left=False, bottom=False, labelleft=False, labelbottom=False) plt.title('reproject_interp') plt.subplot(1, 4, 3) plt.imshow(result_hann, origin='lower', vmin=0, vmax=0.5) plt.tick_params(left=False, bottom=False, labelleft=False, labelbottom=False) plt.title('reproject_adaptive\nHann kernel') plt.subplot(1, 4, 4) plt.imshow(result_gaussian, origin='lower', vmin=0, vmax=0.5) plt.tick_params(left=False, bottom=False, labelleft=False, labelbottom=False) plt.title('reproject_adaptive\nGaussian kernel') In the case of interpolation, the output accuracy is poor because, for each output pixel, we interpolate a single position in the input array which will fall inside a region where the flux is zero or one, and this is very sensitive to aliasing effects. For the adaptive resampling, each output pixel is formed from the weighted average of several pixels in the input, and all input pixels should contribute to the output, with no gaps. It can also be seen how the results differ between the Gaussian and Hann kernels. While the Gaussian kernel blurs the output image slightly, it provides much strong anti-aliasing (as the rotated grid lines appear much smoother and consistent in brightness from pixel to pixel). .. _exact: Spherical Polygon Intersection ============================== The :func:`~reproject.reproject_exact` function can be used to carry out 'exact' reprojection using the spherical polygon intersection of input and output pixels:: >>> from reproject import reproject_exact For this algorithm, the footprint array returned gives the exact fractional overlap of new pixels with the original image (see :doc:`footprints` for more details). .. warning:: The :func:`~reproject.reproject_exact` is currently known to have precision issues for images with resolutions <0.05". For now it is therefore best to avoid using it with such images. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/docs/conf.py0000644000175100001770000001022514716755202015437 0ustar00runnerdocker# Licensed under a 3-clause BSD style license - see LICENSE.rst import datetime import sys from importlib import metadata try: from sphinx_astropy.conf.v1 import * # noqa except ImportError: print("ERROR: the documentation requires the sphinx-astropy package to be installed") sys.exit(1) # -- General configuration ---------------------------------------------------- # By default, highlight as Python 3. highlight_language = "python3" # If your documentation needs a minimal Sphinx version, state it here. # needs_sphinx = '1.1' # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. exclude_patterns.append("_templates") # This is added to the end of RST files - a good place to put substitutions to # be used globally. rst_epilog += """ """ # -- Project information ------------------------------------------------------ package_info = metadata.metadata("reproject") # This does not *have* to match the package name, but typically does project = package_info["Name"] author = package_info["Author"] copyright = "{}, {}".format(datetime.datetime.now().year, package_info["Author"]) # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the # built documents. # The short X.Y version. version = package_info["Version"].split("-", 1)[0] # The full version, including alpha/beta/rc tags. release = package_info["Version"] # -- Options for HTML output --------------------------------------------------- # A NOTE ON HTML THEMES # The global astropy configuration uses a custom theme, 'bootstrap-astropy', # which is installed along with astropy. A different theme can be used or # the options for this theme can be modified by overriding some of the # variables set in the global configuration. The variables set in the # global configuration are listed below, commented out. html_theme_options = { "logotext1": "re", # white, semi-bold "logotext2": "project", # orange, light "logotext3": ":docs", # white, light } # Add any paths that contain custom themes here, relative to this directory. # To use a different custom theme, add the directory containing the theme. # html_theme_path = [] # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. To override the custom theme, set this to the # name of a builtin theme or the name of a custom theme in html_theme_path. # html_theme = None # Custom sidebar templates, maps document names to template names. # html_sidebars = {} # The name of an image file (within the static path) to use as favicon of the # docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 # pixels large. # html_favicon = '' # If not '', a 'Last updated on:' timestamp is inserted at every page bottom, # using the given strftime format. # html_last_updated_fmt = '' # The name for this set of Sphinx documents. If None, it defaults to # " v documentation". html_title = f"{project} v{release}" # Output file base name for HTML help builder. htmlhelp_basename = project + "doc" # -- Options for LaTeX output -------------------------------------------------- # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, author, documentclass [howto/manual]). latex_documents = [("index", project + ".tex", project + " Documentation", author, "manual")] # -- Options for manual page output -------------------------------------------- # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [("index", project.lower(), project + " Documentation", [author], 1)] ## -- Options for the edit_on_github extension ---------------------------------------- nitpicky = True plot_rcparams = {} plot_rcparams["figure.figsize"] = (8, 6) plot_rcparams["savefig.facecolor"] = "none" plot_rcparams["savefig.bbox"] = "tight" plot_rcparams["axes.labelsize"] = "large" plot_rcparams["figure.subplot.hspace"] = 0.5 plot_apply_rcparams = True plot_html_show_source_link = False plot_formats = ["png", "svg", "pdf"] ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/docs/footprints.rst0000644000175100001770000000462414716755202017107 0ustar00runnerdocker**************** Footprint arrays **************** As described for example in :doc:`celestial`, all reprojection functions in this package return a data array (the reprojected values) and a footprint array, which shows which pixels in the new reprojected data fell inside the original image. For interpolation-based algorithms, the footprint array can either take a value of 0 or 1, but for the 'exact' algorithm based on spherical polygon intersection, and in future for the drizzle algorithm, we can actually find out what fraction of the new pixels overlapped with the original image. To demonstrate this, we take the same example as in the :ref:`quickstart` guide, but this time we reproject the array using both the interpolation and 'exact' algorithms, and look closely at what is happening near the boundaries. We start off again by reading in the data: .. plot:: :include-source: :context: reset :nofigs: from astropy.io import fits from astropy.utils.data import get_pkg_data_filename hdu1 = fits.open(get_pkg_data_filename('galactic_center/gc_2mass_k.fits'))[0] hdu2 = fits.open(get_pkg_data_filename('galactic_center/gc_msx_e.fits'))[0] As before, we now reproject the MSX image to be in the same projection as the 2MASS image, but we do this with two algorithms: .. plot:: :include-source: :context: :nofigs: from reproject import reproject_interp, reproject_exact array_interp, footprint_interp = reproject_interp(hdu2, hdu1.header) array_exact, footprint_exact = reproject_exact(hdu2, hdu1.header) Finally, we can visualize the footprint, zooming in to one of the edges: .. plot:: :include-source: :context: import matplotlib.pyplot as plt ax1 = plt.subplot(1,2,1) ax1.imshow(footprint_interp, origin='lower', vmin=0, vmax=1.5, interpolation='nearest') ax1.set_xlim(90, 105) ax1.set_ylim(90, 105) ax1.set_title('Footprint (interpolation)') ax2 = plt.subplot(1,2,2) ax2.imshow(footprint_exact, origin='lower', vmin=0, vmax=1.5, interpolation='nearest') ax2.set_xlim(90, 105) ax2.set_ylim(90, 105) ax2.set_title('Footprint (exact)') As you can see, the footprint for the exact mode correctly shows that some of the new pixels had a fractional overlap with the original image. Note however that this comes at a computational cost, since the exact mode can be significantly slower than interpolation. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/docs/healpix.rst0000644000175100001770000001245314716755202016331 0ustar00runnerdocker************** HEALPIX images ************** Images can also be stored using the HEALPIX representation, and the *reproject* package includes two functions, :func:`~reproject.reproject_from_healpix` and :func:`~reproject.reproject_to_healpix`, which can be used to reproject from/to HEALPIX representations (these functions are wrappers around functionality provided by the `astropy-healpix `_ package). These functions do the reprojection using interpolation (and the order can be specified using the ``order`` argument). The functions can be imported with: .. plot:: :include-source: :nofigs: :context: reset from reproject import reproject_from_healpix, reproject_to_healpix The :func:`~reproject.reproject_from_healpix` function takes either a filename, a FITS Table HDU object, or a tuple containing a 1-D array and a coordinate frame given as an Astropy :class:`~astropy.coordinates.BaseCoordinateFrame` instance or a string. The target projection should be given either as a WCS object (which required you to also specify the output shape using ``shape_out``) or as a FITS :class:`~astropy.io.fits.Header` object. To demonstrate these functions, we can download an example HEALPIX map which is a posterior probability distribution map from the `LIGO project `_: .. plot:: :include-source: :nofigs: :context: from astropy.utils.data import get_pkg_data_filename filename_ligo = get_pkg_data_filename('allsky/ligo_simulated.fits.gz') We can then read in this dataset using Astropy (note that we access HDU 1 because HEALPIX data is stored as a binary table which cannot be in HDU 0): .. plot:: :include-source: :nofigs: :context: from astropy.io import fits hdu_ligo = fits.open(filename_ligo)[1] We now define a header using the `Mollweide `_ projection: .. plot:: :include-source: :nofigs: :context: target_header = fits.Header.fromstring(""" NAXIS = 2 NAXIS1 = 480 NAXIS2 = 240 CTYPE1 = 'RA---MOL' CRPIX1 = 240.5 CRVAL1 = 180.0 CDELT1 = -0.675 CUNIT1 = 'deg ' CTYPE2 = 'DEC--MOL' CRPIX2 = 120.5 CRVAL2 = 0.0 CDELT2 = 0.675 CUNIT2 = 'deg ' COORDSYS= 'icrs ' """, sep='\n') All of the following are examples of valid ways of reprojecting the HEALPIX LIGO data onto the Mollweide projection: * With an input filename and a target header:: array, footprint = reproject_from_healpix(filename_ligo, target_header) * With an input filename and a target wcs and shape:: from astropy.wcs import WCS target_wcs = WCS(target_header) array, footprint = reproject_from_healpix(filename_ligo, target_wcs, shape_out=(240,480)) * With an input array (and associated coordinate system as a string) and a target header:: data = hdu_ligo.data['PROB'] array, footprint = reproject_from_healpix((data, 'icrs'), target_header, nested=True) Note that in this case we have to be careful to specify whether the pixels are in nested (``nested=True``) or ring (``nested=False``) order. * With an input array (and associated coordinate system) and a target header:: from astropy.coordinates import FK5 array, footprint = reproject_from_healpix((data, FK5(equinox='J2010')), target_header, nested=True) The resulting map is the following: .. plot:: :nofigs: :context: array, footprint = reproject_from_healpix(filename_ligo, target_header) .. plot:: :include-source: :context: from astropy.wcs import WCS import matplotlib.pyplot as plt from astropy.visualization.wcsaxes.frame import EllipticalFrame ax = plt.subplot(1,1,1, projection=WCS(target_header), frame_class=EllipticalFrame) ax.imshow(array, vmin=0, vmax=1.e-8) ax.coords.grid(color='white') ax.coords['ra'].set_ticklabel(color='white') On the other hand, the :func:`~reproject.reproject_to_healpix` function takes input data in the same form as :func:`~reproject.reproject_interp` (see :ref:`interpolation`) for the first argument, and a coordinate frame as the second argument, either as a string or as a :class:`~astropy.coordinates.BaseCoordinateFrame` instance e.g.:: array, footprint = reproject_to_healpix((array, target_header), 'galactic', nside=128) The array returned is a 1-D array which can be stored in a HEALPIX FITS file. We can use the `~astropy.table.Table` object to easily write the array to a HEALPix FITS file:: from astropy.table import Table t = Table() t['flux'] = array t.meta['ORDERING'] = 'RING' t.meta['COORDSYS'] = 'G' t.meta['NSIDE'] = 128 t.meta['INDXSCHM'] = 'IMPLICIT' t.write('healpix_map.fits') .. note:: When converting to a HEALPIX array, it is important to be aware that the order of the array matters (nested or ring). The :func:`~reproject.reproject_to_healpix` function takes a ``nested`` argument that defaults to `False`, hence why we set ``ORDERING`` to ``'RING'``. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/docs/index.rst0000644000175100001770000001137614716755202016011 0ustar00runnerdocker.. _reprojection: ******************************* Image reprojection (resampling) ******************************* Introduction ============ The *reproject* package implements image reprojection (resampling) methods for astronomical images and more generally n-dimensional data. These assume that the WCS information contained in the data are correct. This package does **not** do image registration, which is the process of aligning images where one or more images may have incorrect or missing WCS. You can install *reproject* with `pip `_:: pip install reproject or with `conda `_:: conda install -c conda-forge reproject More detailed installation instructions can be found in :ref:`installation`. .. _quickstart: Quick start =========== A common use case is that you have two FITS images, and want to reproject one to the same header as the other. This can easily be done with the *reproject* package, and we demonstrate this in the following example. We start off by downloading two example images from `http://data.astropy.org `_, namely a 2MASS K-band image and an MSX band E image of the Galactic center: .. plot:: :include-source: :nofigs: :context: reset from astropy.io import fits from astropy.utils.data import get_pkg_data_filename hdu1 = fits.open(get_pkg_data_filename('galactic_center/gc_2mass_k.fits'))[0] hdu2 = fits.open(get_pkg_data_filename('galactic_center/gc_msx_e.fits'))[0] We can examine the two images (this makes use of the `wcsaxes `_ package behind the scenes): .. plot:: :include-source: :context: from astropy.wcs import WCS import matplotlib.pyplot as plt ax1 = plt.subplot(1,2,1, projection=WCS(hdu1.header)) ax1.imshow(hdu1.data, origin='lower', vmin=-100., vmax=2000.) ax1.coords['ra'].set_axislabel('Right Ascension') ax1.coords['dec'].set_axislabel('Declination') ax1.set_title('2MASS K-band') ax2 = plt.subplot(1,2,2, projection=WCS(hdu2.header)) ax2.imshow(hdu2.data, origin='lower', vmin=-2.e-4, vmax=5.e-4) ax2.coords['glon'].set_axislabel('Galactic Longitude') ax2.coords['glat'].set_axislabel('Galactic Latitude') ax2.coords['glat'].set_axislabel_position('r') ax2.coords['glat'].set_ticklabel_position('r') ax2.set_title('MSX band E') We now reproject the MSX image to be in the same projection as the 2MASS image: .. plot:: :include-source: :nofigs: :context: from reproject import reproject_interp array, footprint = reproject_interp(hdu2, hdu1.header) The :func:`~reproject.reproject_interp` function above returns the reprojected array as well as an array that provides information on the footprint of the first image in the new reprojected image plane (essentially which pixels in the new image had a corresponding pixel in the old image). We can now visualize the reprojected data and footprint: .. plot:: :include-source: :context: from astropy.wcs import WCS import matplotlib.pyplot as plt ax1 = plt.subplot(1,2,1, projection=WCS(hdu1.header)) ax1.imshow(array, origin='lower', vmin=-2.e-4, vmax=5.e-4) ax1.coords['ra'].set_axislabel('Right Ascension') ax1.coords['dec'].set_axislabel('Declination') ax1.set_title('Reprojected MSX band E image') ax2 = plt.subplot(1,2,2, projection=WCS(hdu1.header)) ax2.imshow(footprint, origin='lower', vmin=0, vmax=1.5) ax2.coords['ra'].set_axislabel('Right Ascension') ax2.coords['dec'].set_axislabel('Declination') ax2.coords['dec'].set_axislabel_position('r') ax2.coords['dec'].set_ticklabel_position('r') ax2.set_title('MSX band E image footprint') We can then write out the image to a new FITS file. Note that, as for plotting, we can use the header from the 2MASS image since both images are now in the same projection: .. plot:: :include-source: :nofigs: :context: fits.writeto('msx_on_2mass_header.fits', array, hdu1.header, overwrite=True) The *reproject* package supports a number of different algorithms for reprojection (interpolation, flux-conserving reprojection, etc.) and different types of data (images, spectral cubes, HEALPIX images, etc.). For more information, we encourage you to read the full documentation below! Documentation ============= The reproject package consists of a few high-level functions to do reprojection using different algorithms, which depend on the type of data that you want to reproject. .. toctree:: :maxdepth: 2 installation celestial healpix noncelestial footprints mosaicking performance performance_mosaicking Reference/API ============= .. automodapi:: reproject :no-inheritance-diagram: .. automodapi:: reproject.mosaicking :no-inheritance-diagram: ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/docs/installation.rst0000644000175100001770000000210414716755202017370 0ustar00runnerdocker.. _installation: ******************** Installing reproject ******************** Requirements ============ This package has the following dependencies: * `Python `__ 3.9 or later * `Numpy `__ 1.20 or later * `Astropy `__ 5.0 or later * `Scipy `__ 1.5 or later * `astropy-healpix `_ 0.6 or later for HEALPIX image reprojection * `dask `_ 2021.8 or later * `zarr `_ * `fsspec `_ and the following optional dependencies: * `shapely `_ 1.6 or later for some of the mosaicking functionality Installation ============ Using pip --------- To install *reproject* with `pip `_, run:: pip install reproject Using conda ----------- To install *reproject* with `conda `_, run:: conda install -c conda-forge reproject ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/docs/make.bat0000644000175100001770000001064114716755202015547 0ustar00runnerdocker@ECHO OFF REM Command file for Sphinx documentation if "%SPHINXBUILD%" == "" ( set SPHINXBUILD=sphinx-build ) set BUILDDIR=_build set ALLSPHINXOPTS=-d %BUILDDIR%/doctrees %SPHINXOPTS% . if NOT "%PAPER%" == "" ( set ALLSPHINXOPTS=-D latex_paper_size=%PAPER% %ALLSPHINXOPTS% ) if "%1" == "" goto help if "%1" == "help" ( :help echo.Please use `make ^` where ^ is one of echo. html to make standalone HTML files echo. dirhtml to make HTML files named index.html in directories echo. singlehtml to make a single large HTML file echo. pickle to make pickle files echo. json to make JSON files echo. htmlhelp to make HTML files and a HTML help project echo. qthelp to make HTML files and a qthelp project echo. devhelp to make HTML files and a Devhelp project echo. epub to make an epub echo. latex to make LaTeX files, you can set PAPER=a4 or PAPER=letter echo. text to make text files echo. man to make manual pages echo. changes to make an overview over all changed/added/deprecated items echo. linkcheck to check all external links for integrity echo. doctest to run all doctests embedded in the documentation if enabled goto end ) if "%1" == "clean" ( for /d %%i in (%BUILDDIR%\*) do rmdir /q /s %%i del /q /s %BUILDDIR%\* goto end ) if "%1" == "html" ( %SPHINXBUILD% -b html %ALLSPHINXOPTS% %BUILDDIR%/html if errorlevel 1 exit /b 1 echo. echo.Build finished. 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The epub file is in %BUILDDIR%/epub. goto end ) if "%1" == "latex" ( %SPHINXBUILD% -b latex %ALLSPHINXOPTS% %BUILDDIR%/latex if errorlevel 1 exit /b 1 echo. echo.Build finished; the LaTeX files are in %BUILDDIR%/latex. goto end ) if "%1" == "text" ( %SPHINXBUILD% -b text %ALLSPHINXOPTS% %BUILDDIR%/text if errorlevel 1 exit /b 1 echo. echo.Build finished. The text files are in %BUILDDIR%/text. goto end ) if "%1" == "man" ( %SPHINXBUILD% -b man %ALLSPHINXOPTS% %BUILDDIR%/man if errorlevel 1 exit /b 1 echo. echo.Build finished. The manual pages are in %BUILDDIR%/man. goto end ) if "%1" == "changes" ( %SPHINXBUILD% -b changes %ALLSPHINXOPTS% %BUILDDIR%/changes if errorlevel 1 exit /b 1 echo. echo.The overview file is in %BUILDDIR%/changes. goto end ) if "%1" == "linkcheck" ( %SPHINXBUILD% -b linkcheck %ALLSPHINXOPTS% %BUILDDIR%/linkcheck if errorlevel 1 exit /b 1 echo. echo.Link check complete; look for any errors in the above output ^ or in %BUILDDIR%/linkcheck/output.txt. goto end ) if "%1" == "doctest" ( %SPHINXBUILD% -b doctest %ALLSPHINXOPTS% %BUILDDIR%/doctest if errorlevel 1 exit /b 1 echo. echo.Testing of doctests in the sources finished, look at the ^ results in %BUILDDIR%/doctest/output.txt. goto end ) :end ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/docs/mosaicking.rst0000644000175100001770000003673614716755202017035 0ustar00runnerdocker***************************** Combining images into mosaics ***************************** .. warning:: The mosaicking functionality in the reproject package is currently experimental, so use with care and please report issues at https://github.com/astropy/reproject The **reproject.mosaicking** sub-package includes helper functions for constructing mosaics from multiple images. These are :func:`~reproject.mosaicking.find_optimal_celestial_wcs`, which can be used to construct a single optimal WCS/shape that overlaps with multiple images, and :func:`~reproject.mosaicking.reproject_and_coadd`, which given images and a target WCS/shape will reproject all the images then combine them into a mosaic. We describe these in the sections below. For the examples on this page we will use the `PyVO `_ module to retrieve tiles from the 2MASS survey around the M17 region: .. doctest-requires:: pyvo >>> from astropy.io import fits >>> from astropy.coordinates import SkyCoord >>> from pyvo.dal import imagesearch >>> pos = SkyCoord.from_name('M17') >>> table = imagesearch('https://irsa.ipac.caltech.edu/cgi-bin/2MASS/IM/nph-im_sia?type=at&ds=asky&', ... pos, size=0.25).to_table() >>> table = table[(table['band'].astype('S') == 'K') & (table['format'].astype('S') == 'image/fits')] >>> m17_hdus = [fits.open(url)[0] for url in table['download'].astype('S')] .. NOTE: Once we support only Astropy 4.1 and above, we can get rid of the 'astype()' .. calls above (prior to this, the string columns were object columns). .. _optimal-wcs: Computing an optimal WCS ======================== Basic usage ----------- Given a series of images, the :func:`~reproject.mosaicking.find_optimal_celestial_wcs` function can be used to find an output WCS and shape (i.e. an output header) that overlaps with all the inpute images. Note that you don't necessarily need to use this if you already know the final header or WCS you want to use for the images - in this case you can skip straight to :ref:`coadding`. You can optionally provide options to try and constrain the solution, as we will see below. To start off, let's consider the simplest example, which is to call :func:`~reproject.mosaicking.find_optimal_celestial_wcs` with the files downloaded above, but no additional information: .. doctest-requires:: pyvo >>> from reproject.mosaicking import find_optimal_celestial_wcs >>> wcs_out, shape_out = find_optimal_celestial_wcs(m17_hdus) The first argument to :func:`~reproject.mosaicking.find_optimal_celestial_wcs` should be a list where each element is either a filename, an HDU object (e.g. `~astropy.io.fits.PrimaryHDU` or `~astropy.io.fits.ImageHDU`), an `~astropy.io.fits.HDUList` object, or a tuple of ``(array, wcs)``. In the example above, we have passed a list of HDUs. We can now look at the output WCS and shape: .. doctest-requires:: pyvo >>> wcs_out.to_header() # doctest: +FLOAT_CMP +SKIP WCSAXES = 2 / Number of coordinate axes CRPIX1 = 900.07981909504 / Pixel coordinate of reference point CRPIX2 = 1099.9484609446 / Pixel coordinate of reference point CDELT1 = -0.0002777777845 / [deg] Coordinate increment at reference point CDELT2 = 0.0002777777845 / [deg] Coordinate increment at reference point CUNIT1 = 'deg' / Units of coordinate increment and value CUNIT2 = 'deg' / Units of coordinate increment and value CTYPE1 = 'RA---TAN' / Right ascension, gnomonic projection CTYPE2 = 'DEC--TAN' / Declination, gnomonic projection CRVAL1 = 275.18472258448 / [deg] Coordinate value at reference point CRVAL2 = -16.141349044263 / [deg] Coordinate value at reference point LONPOLE = 180.0 / [deg] Native longitude of celestial pole LATPOLE = -16.141349044263 / [deg] Native latitude of celestial pole ... >>> shape_out (2201, 1800) Coordinate system ----------------- By default, the coordinate system of the first file is used, and the final WCS is set up so that North (in that coordinate system) is up. In the case above, the images are in equatorial coordinates, so the final WCS is also in equatorial coordinates. We can force the output WCS to instead be in Galactic coordinates by setting the ``frame=`` argument to a coordinate frame object such as :class:`~astropy.coordinates.Galactic` or one of the string shortcuts defined in astropy (e.g. ``'fk5'``, ``'galactic'``, etc.): .. doctest-requires:: pyvo >>> wcs_out, shape_out = find_optimal_celestial_wcs(m17_hdus, ... frame='galactic') the resulting WCS is then in Galactic coordinates:: .. doctest-requires:: pyvo >>> wcs_out.to_header() # doctest: +FLOAT_CMP +SKIP WCSAXES = 2 / Number of coordinate axes CRPIX1 = 1214.1034417971 / Pixel coordinate of reference point CRPIX2 = 1310.1351675461 / Pixel coordinate of reference point CDELT1 = -0.0002777777845 / [deg] Coordinate increment at reference point CDELT2 = 0.0002777777845 / [deg] Coordinate increment at reference point CUNIT1 = 'deg' / Units of coordinate increment and value CUNIT2 = 'deg' / Units of coordinate increment and value CTYPE1 = 'GLON-TAN' / galactic longitude, gnomonic projection CTYPE2 = 'GLAT-TAN' / galactic latitude, gnomonic projection CRVAL1 = 15.116960053834 / [deg] Coordinate value at reference point CRVAL2 = -0.72166403860488 / [deg] Coordinate value at reference point LONPOLE = 180.0 / [deg] Native longitude of celestial pole LATPOLE = -0.72166403860488 / [deg] Native latitude of celestial pole ... >>> shape_out (2623, 2424) Orientation ----------- As mentioned above, by default the image will be lined up so that North is up, but this may not always be optimal because if the mosaic is rotated compared to North, there may be a lot of empty space in the final mosaic. The ``auto_rotate`` option can therefore be used to find the optimal rotation for the WCS that minimizes the area of the final mosaic file: .. doctest-requires:: shapely, pyvo >>> wcs_out, shape_out = find_optimal_celestial_wcs(m17_hdus, ... frame='galactic', ... auto_rotate=True) Note that this requires `Shapely `_ 1.6 or later to be installed. We can now look at the final WCS and shape: .. doctest-requires:: shapely, pyvo >>> wcs_out.to_header() # doctest: +FLOAT_CMP +SKIP WCSAXES = 2 / Number of coordinate axes CRPIX1 = 1102.3949574309 / Pixel coordinate of reference point CRPIX2 = 900.46211361965 / Pixel coordinate of reference point PC1_1 = 0.88188439264557 / Coordinate transformation matrix element PC1_2 = 0.47146571244169 / Coordinate transformation matrix element PC2_1 = -0.47146571244169 / Coordinate transformation matrix element PC2_2 = 0.88188439264557 / Coordinate transformation matrix element CDELT1 = -0.0002777777845 / [deg] Coordinate increment at reference point CDELT2 = 0.0002777777845 / [deg] Coordinate increment at reference point CUNIT1 = 'deg' / Units of coordinate increment and value CUNIT2 = 'deg' / Units of coordinate increment and value CTYPE1 = 'GLON-TAN' / galactic longitude, gnomonic projection CTYPE2 = 'GLAT-TAN' / galactic latitude, gnomonic projection CRVAL1 = 15.116960053834 / [deg] Coordinate value at reference point CRVAL2 = -0.72166403860488 / [deg] Coordinate value at reference point LONPOLE = 180.0 / [deg] Native longitude of celestial pole LATPOLE = -0.72166403860488 / [deg] Native latitude of celestial pole ... >>> shape_out (1800, 2201) As expected, the optimal shape is smaller than was returned previously. Pixel resolution ---------------- By default, the final mosaic will have the pixel resolution (i.e. the pixel scale along the pixel axes) of the highest resolution input image, but this can be overridden using the ``resolution=`` keyword argument: .. doctest-requires:: pyvo >>> from astropy import units as u >>> wcs_out, shape_out = find_optimal_celestial_wcs(m17_hdus, ... resolution=1.5 * u.arcsec) Projection and reference coordinate ----------------------------------- Finally, you can customize the projection to use as well as the reference coordinate. To change the projection from the default (which is the gnomonic projection, or ``TAN``), you can use the ``projection=`` keyword argument, which should be set to a `valid three-letter FITS-WCS projection code `_: .. doctest-requires:: pyvo >>> wcs_out, shape_out = find_optimal_celestial_wcs(m17_hdus, ... projection='CAR') To customize the reference coordinate (where the projection is centered) you can set the ``reference=`` keyword argument to an astropy :class:`~astropy.coordinates.SkyCoord` object: .. doctest-requires:: pyvo >>> from astropy.coordinates import SkyCoord >>> coord = SkyCoord.from_name('M17') >>> wcs_out, shape_out = find_optimal_celestial_wcs(m17_hdus, ... reference=coord) .. _coadding: Reprojecting and co-adding images into a mosaic =============================================== Assuming that you have a set of images that you want to combine into a mosaic, as well as a target header or WCS and shape (which you either determined independently, or with :ref:`optimal-wcs`), you can make use of the :func:`~reproject.mosaicking.reproject_and_coadd` function to produce the mosaic: .. doctest-requires:: pyvo >>> from reproject import reproject_interp >>> from reproject.mosaicking import reproject_and_coadd >>> array, footprint = reproject_and_coadd(m17_hdus, ... wcs_out, shape_out=shape_out, ... reproject_function=reproject_interp) The first argument to :func:`~reproject.mosaicking.reproject_and_coadd` should be a list where each element is either a filename, an HDU object (e.g. `~astropy.io.fits.PrimaryHDU` or `~astropy.io.fits.ImageHDU`), an `~astropy.io.fits.HDUList` object, or a tuple of ``(array, wcs)``. The second argument is the WCS information for the output image, which should be specified either as a :class:`~astropy.wcs.WCS` or a :class:`~astropy.io.fits.Header` instance. If this is specified as a :class:`~astropy.wcs.WCS` instance, the ``shape_out`` argument to :func:`~reproject.reproject_interp` should also be specified, and be given the shape of the output image using the Numpy ``(ny, nx)`` convention (this is because :class:`~astropy.wcs.WCS`, unlike :class:`~astropy.io.fits.Header`, does not contain information about image size). Finally, the ``reproject_function`` should be used to specify which function to use to reproject individual tiles - this should be either :func:`~reproject.reproject_interp` or :func:`~reproject.reproject_exact` - with the latter being slower but more accurate (and necessary for flux conservation). Keyword arguments for these functions (e.g. ``order`` for :func:`~reproject.reproject_interp`) can be passed as keyword arguments to :func:`~reproject.mosaicking.reproject_and_coadd`. The example above will return an array which is the mosaic itself, and a footprint, which shows how many input images contributed to each output pixel. We can take a look at the output: .. plot:: :context: reset :nofigs: from astropy.io import fits from astropy.coordinates import SkyCoord from pyvo.dal import imagesearch pos = SkyCoord.from_name('M17') table = imagesearch('https://irsa.ipac.caltech.edu/cgi-bin/2MASS/IM/nph-im_sia?type=at&ds=asky&', pos, size=0.25).to_table() table = table[(table['band'] == 'K') & (table['format'] == 'image/fits')] m17_hdus = [fits.open(row['download'])[0] for row in table] from astropy.coordinates import SkyCoord from reproject.mosaicking import find_optimal_celestial_wcs coord = SkyCoord.from_name('M17') wcs_out, shape_out = find_optimal_celestial_wcs(m17_hdus, reference=coord) from reproject import reproject_interp from reproject.mosaicking import reproject_and_coadd array, footprint = reproject_and_coadd(m17_hdus, wcs_out, shape_out=shape_out, reproject_function=reproject_interp) .. plot:: :include-source: :align: center :context: import numpy as np import matplotlib.pyplot as plt plt.figure(figsize=(10, 8)) ax1 = plt.subplot(1, 2, 1) im1 = ax1.imshow(array, origin='lower', vmin=600, vmax=800) ax1.set_title('Mosaic') ax2 = plt.subplot(1, 2, 2) im2 = ax2.imshow(footprint, origin='lower') ax2.set_title('Footprint') In some cases, including the above example, each tile that was used to compute the mosaic has an arbitrary offset due e.g. to different observing conditions. The :func:`~reproject.mosaicking.reproject_and_coadd` includes an option to match the backgrounds (assuming a constant additive offset in each image): .. doctest-requires:: pyvo >>> array_bgmatch, _ = reproject_and_coadd(m17_hdus, ... wcs_out, shape_out=shape_out, ... reproject_function=reproject_interp, ... match_background=True) By adjusting the stretch, we can see the difference more clearly between the mosaic made with background matching and that made without - the one without shows vertical striping, especially on the left. .. plot:: :context: :nofigs: array_bgmatch, _ = reproject_and_coadd(m17_hdus, wcs_out, shape_out=shape_out, reproject_function=reproject_interp, match_background=True) plt.clf() .. plot:: :include-source: :align: center :context: import numpy as np import matplotlib.pyplot as plt ax1 = plt.subplot(1, 2, 1) im1 = ax1.imshow(array, origin='lower', vmin=635, vmax=660) ax1.set_title('No background matching') ax2 = plt.subplot(1, 2, 2) im2 = ax2.imshow(array_bgmatch, origin='lower', vmin=635, vmax=660) ax2.set_title('Background matching') The background matching works by finding all overlapping pairs of images and determining the median difference for each pair, then using a `stochastic gradient descent `_ method to find the optimal additive corrections (a positive or negative constant for each image) to minimize differences. We additionally place the constraint that the average correction should be zero, but since there's no reason that the average correction should be exactly zero, you should be aware that the final mosaic may be offset from the absolute surface brightness/flux by a constant additive factor. The algorithm should be robust for many situations and does not currently have any exposed options for fine tuning. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/docs/noncelestial.rst0000644000175100001770000000025314716755202017352 0ustar00runnerdocker************************* Non-celestial images/data ************************* Non-celestial images/data are not currently supported but will be added in future releases. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/docs/performance.rst0000644000175100001770000002473214716755202017203 0ustar00runnerdocker**************************************************** Optimizing performance for single-image reprojection **************************************************** Disabling coordinate transformation round-tripping ================================================== For the interpolation and adaptive algorithms, an optional third argument, ``roundtrip_coords`` is accepted. By default, after coordinates are transformed from the output plane to the input plane, the input-plane coordinates are transformed back to the output plane to ensure that the transformation is defined in both directions. This doubles the amount of coordinate-transformation work to be done. In speed-critical situations, where it is known that the coordinate transformation is defined everywhere, this extra work can be disabled by setting ``roundtrip_coords=False``. (Note that this is not a question of whether each output pixel maps to an existing *pixel* in the input image and vice-versa, but whether it maps to a valid *coordinate* in the coordinate system of the input image---regardless of whether that coordinate falls within the bounds of the input image.) Disabling returning the footprint ================================= If you don't need the output footprint after reprojection, you can set ``return_footprint=False`` to return only the reprojected array. This can save memory and in some cases computing time: .. doctest-skip:: >>> array = reproject_interp(..., return_footprint=False) Using memory-mapped output arrays ================================= If you are dealing with a large dataset to reproject, you may be want to write the reprojected array (and optionally the footprint) to an array of your choice, such as for example a memory-mapped array. For example: .. doctest-skip:: >>> header_out = fits.Header.fromtextfile('cube_header_gal.hdr') >>> shape = (header_out['NAXIS3'], header_out['NAXIS2'], header_out['NAXIS1']) >>> array_out = np.memmap(filename='output.np', mode='w+', ... shape=shape, dtype='float32') >>> hdu = fits.open('cube_file.fits') >>> reproject_interp(hdu, header_out, output_array=array_out, ... return_footprint=False) After the call to :func:`~reproject.reproject_interp`, ``array_out`` will contain the reprojected values. If you set up a memory-mapped array for the footprint you could also do: .. doctest-skip:: >>> reproject_interp(hdu, header_out, output_array=array_out, ... output_footprint=footprint_out) If you are dealing with FITS files, you can skip the numpy memmap step and use `FITS large file creation `_: .. doctest-skip:: >>> header_out = fits.Header.fromtextfile('cube_header_gal.hdr') >>> header_out.tofile('new_cube.fits') >>> shape = tuple(header_out['NAXIS{0}'.format(ii)] for ii in range(1, header_out['NAXIS']+1)) >>> with open('new_cube.fits', 'rb+') as fobj: ... fobj.seek(len(header_out.tostring()) + (np.product(shape) * np.abs(header_out['BITPIX']//8)) - 1) ... fobj.write(b'\0') >>> hdu_out = fits.open('new_cube.fits', mode='update') >>> rslt = reproject.reproject_interp(hdu, header_out, output_array=hdu_out[0].data, ... return_footprint=False) >>> hdu_out.flush() .. _broadcasting: Multiple images with the same coordinates ========================================= If you have multiple images with the exact same coordinate system (e.g. a raw image and a corresponding processed image) and want to reproject both to the same output frame, it is faster to compute the coordinate mapping between input and output pixels only once and reuse this mapping for each reprojection. This is supported by passing multiple input images as an additional dimension in the input data array. When the input array contains more dimensions than the input WCS describes, the extra leading dimensions are taken to represent separate images with the same coordinates, and the reprojection loops over those dimensions after computing the pixel mapping. For example: .. doctest-skip:: >>> raw_image, header_in = fits.getdata('raw_image.fits', header=True) >>> bg_subtracted_image = fits.getdata('background_subtracted_image.fits') >>> header_out = # Prepare your desired output projection here >>> # Combine the two images into one array >>> image_stack = np.stack((raw_image, bg_subtracted_image)) >>> # We provide a header that describes 2 WCS dimensions, but our input >>> # array shape is (2, ny, nx)---the 'extra' first dimension represents >>> # separate images sharing the same coordinates. >>> reprojected, footprint = reproject.reproject_adaptive( ... (image_stack, header_in), header_out) >>> # The shape of `reprojected` is (2, ny', nx') >>> reprojected_raw, reprojected_bg_subtracted = reprojected[0], reprojected[1] For :func:`~reproject.reproject_interp` and :func:`~reproject.reproject_adaptive`, this is approximately twice as fast as reprojecting the two images separately. For :func:`~reproject.reproject_exact` the savings are much less significant, as producing the coordinate mapping is a much smaller portion of the total runtime for this algorithm. When the output coordinates are provided as a WCS and a ``shape_out`` tuple, ``shape_out`` may describe the output shape of a single image, in which case the extra leading dimensions are prepended automatically, or it may include the extra dimensions, in which case the size of the extra dimensions must match those of the input data exactly. While the reproject functions can accept the name of a FITS file as input, from which the input data and coordinates are loaded automatically, this multi-image reprojection feature does not support loading multiple images automatically from multiple HDUs within one FITS file, as it would be difficult to verify automatically that the HDUs contain the same exact coordinates. If multiple HDUs do share coordinates and are to be reprojected together, they must be separately loaded and combined into a single input array (e.g. using ``np.stack`` as in the above example). Chunk by chunk reprojection =========================== .. testsetup:: >>> import numpy as np >>> import dask.array as da >>> input_array = np.random.random((1024, 1024)) >>> dask_array = da.from_array(input_array, chunks=(128, 128)) >>> from astropy.wcs import WCS >>> wcs_in = WCS(naxis=2) >>> wcs_out = WCS(naxis=2) When calling one of the reprojection functions, you can specify a block size to use for the reprojection, and this is used to iterate over chunks in the output array in chunks. For instance, if you pass in a (1024, 1024) array and specify that the shape of the output should be a (2048, 2048) array (e.g., via ``shape_out``), then if you set ``block_size=(256, 256)``:: >>> from reproject import reproject_interp >>> input_array.shape (1024, 1024) >>> array, footprint = reproject_interp((input_array, wcs_in), wcs_out, ... shape_out=(2048, 2048), block_size=(256, 256)) the reprojection will be done in 64 separate output chunks. Note however that this does not break up the input array into chunks since in the general case any input pixel may contribute to any output pixel. .. _multithreading: Multi-threaded reprojection =========================== By default, the iteration over the output chunks is done in a single process/thread, but you may specify ``parallel=True`` to process these in parallel. If you do this, reproject will use multiple threads to parallelize the computation. If you specify ``parallel=True``, then ``block_size`` will be automatically set to a sensible default, but you can also set ``block_size`` manually for more control. Note that you can also set ``parallel=`` to an integer to indicate the number of threads to use. Input dask arrays ================= The three main reprojection functions can accept dask arrays as inputs, e.g. assuming you have already constructed a dask array named ``dask_array``:: >>> dask_array dask.array you can pass this in as part of the first argument to one of the reprojection functions:: >>> array, footprint = reproject_interp((dask_array, wcs_in), wcs_out, ... shape_out=(2048, 2048)) In general however, we cannot benefit much from the chunking of the input arrays because any input pixel might in principle contribute to any output pixel. Therefore, for now, when a dask array is passed as input, it is computed using the current default scheduler and converted to a Numpy memory-mapped array. This is done efficiently in terms of memory and never results in the whole dataset being loaded into memory at any given time. However, this does require sufficient space on disk to store the array. If your default system temporary directory does not have sufficient space, you can set the ``TMPDIR`` environment variable to point at another directory: >>> import os >>> os.environ['TMPDIR'] = '/home/lancelot/tmp' Output dask arrays ================== By default, the reprojection functions will do the computation immediately and return Numpy arrays for the reprojected array and optionally the footprint (this is regardless of whether dask or Numpy arrays were passed in, or any of the parallelization options above). However, by setting ``return_type='dask'``, you can make the functions delay any computation and return dask arrays:: >>> array, footprint = reproject_interp((input_array, wcs_in), wcs_out, ... shape_out=(2048, 2048), block_size=(256, 256), ... return_type='dask') >>> array dask.array You can then compute the array or a section of the array yourself whenever you need, or use the result in further dask expressions. Using dask.distributed ====================== The `dask.distributed `_ package makes it possible to use distributed schedulers for dask. In order to compute reprojections with dask.distributed, set up the client and then call the reprojection functions with ``parallel='current-scheduler'``. Alternatively, you can make use of the ``return_type='dask'`` option mentioned above so that you can compute the dask array once the distributed scheduler has been set up. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/docs/performance_mosaicking.rst0000644000175100001770000000472414716755202021406 0ustar00runnerdocker************************************* Optimizing performance for mosaicking ************************************* Using memory-mapped output arrays ================================= If you are producing a large mosaic, you may be want to write the mosaic and footprint to an array of your choice, such as for example a memory-mapped array. For example: .. doctest-skip:: >>> output_array = np.memmap(filename='array.np', mode='w+', ... shape=shape_out, dtype='float32') >>> output_footprint = np.memmap(filename='footprint.np', mode='w+', ... shape=shape_out, dtype='float32') >>> reproject_and_coadd(..., ... output_array=output_array, ... output_footprint=output_footprint) Using memory-mapped intermediate arrays ======================================= During the mosaicking process, each cube is reprojected to the minimal subset of the final header that it covers. In some cases, this can result in arrays that may not fit in memory. In this case, you can use the ``intermediate_memmap`` option to indicate that all intermediate arrays in the mosaicking process should use memory-mapped arrays rather than in-memory arrays: .. doctest-skip:: >>> reproject_and_coadd(..., ... intermediate_memmap=True) Combined with the above option to specify the output array and footprint for the final mosaic, it is possible to make sure that no large arrays are ever loaded into memory. Note however that you will need to make sure you have sufficient disk space in your temporary directory. If your default system temporary directory does not have sufficient space, you can set the ``TMPDIR`` environment variable to point at another directory: >>> import os >>> os.environ['TMPDIR'] = '/home/lancelot/tmp' Multi-threading =============== Similarly to single-image reprojection (see :ref:`multithreading`), it is possible to make use of multi-threading during the mosaicking process by setting the ``parallel=`` option to True or to an integer value to indicate the number of threads to use. Using dask.distributed ====================== The `dask.distributed `_ package makes it possible to use distributed schedulers for dask. In order to do mosaicking with dask.distributed, set up the client and then call :func:`~reproject.mosaicking.reproject_and_coadd` with the ``parallel='current-scheduler'`` option. ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/pyproject.toml0000644000175100001770000001202214716755202016121 0ustar00runnerdocker[project] name = "reproject" authors = [ {name = "Thomas Robitaille", email = "thomas.robitaille@gmail.com"}, {name = "Christoph Deil"}, {name = "Adam Ginsburg"}, ] license = {text = "BSD 3-Clause"} description = "Reproject astronomical images" urls = {Homepage = "https://reproject.readthedocs.io"} requires-python = ">=3.10" dependencies = [ "numpy>=1.23", "astropy>=5.0", "astropy-healpix>=1.0", "scipy>=1.9", "dask[array]>=2021.8", "cloudpickle", "zarr", "fsspec", ] dynamic = ["version"] [project.readme] file = "README.rst" content-type = "text/x-rst" [project.optional-dependencies] all = ["shapely"] test = [ "pytest-astropy", ] testall = [ "shapely>=2.0.2", # 2.0.2 fixed a bug that causes changes in test results "sunpy[map]>=6.0.1", "asdf", "gwcs", "pyvo", ] docs = [ "sphinx-astropy", "pyvo", "matplotlib", ] [build-system] requires = ["setuptools", "setuptools_scm", "extension-helpers==1.*", "numpy>=2.0.0rc1", "cython>=3.0,<3.1"] build-backend = 'setuptools.build_meta' [tool.setuptools] zip-safe = false license-files = ["LICENSE"] include-package-data = false [tool.setuptools.packages] find = {namespaces = false} [tool.setuptools.package-data] "reproject.healpix.tests" = ["data/*"] "reproject.adaptive.tests" = ["reference/*"] "reproject.interpolation.tests" = ["reference/*"] "reproject.mosaicking.tests" = ["reference/*"] "reproject.spherical_intersect" = ["overlapArea.h", "reproject_slice_c.h", "mNaN.h"] "reproject.tests" = ["data/*"] [tool.extension-helpers] use_extension_helpers = "true" [tool.pytest.ini_options] minversion = "6" log_cli_level = "INFO" xfail_strict = true testpaths = ['"reproject"', '"docs"'] norecursedirs = ["build", "docs/_build"] astropy_header = true doctest_plus = "enabled" text_file_format = "rst" addopts = ["-ra", "--strict-config", "--strict-markers", "--doctest-rst", "--arraydiff", "--arraydiff-default-format=fits", "--doctest-ignore-import-errors"] filterwarnings = [ "error", 'ignore:numpy\.ufunc size changed:RuntimeWarning', 'ignore:numpy\.ndarray size changed:RuntimeWarning', "ignore:distutils Version classes are deprecated:DeprecationWarning", "ignore:No observer defined on WCS:astropy.utils.exceptions.AstropyUserWarning", "ignore:unclosed file:ResourceWarning", "ignore:The conversion of these 2D helioprojective coordinates to 3D is all NaNs", # This is a sunpy < 4.1 issue with Python 3.11 "ignore:'xdrlib' is deprecated and slated for removal in Python 3.13", # This is a pyvo issue with Python 3.11 "ignore:'cgi' is deprecated and slated for removal in Python 3.13", # Issue with zarr and dask mismatch "ignore:ignoring keyword argument 'read_only'" ] [tool.coverage.run] omit = [ "reproject/_astropy_init*", "reproject/conftest.py", "reproject/*setup_package*", "reproject/tests/*", "reproject/*/tests/*", "reproject/extern/*", "reproject/version*", "*/reproject/_astropy_init*", "*/reproject/conftest.py", "*/reproject/*setup_package*", "*/reproject/tests/*", "*/reproject/*/tests/*", "*/reproject/extern/*", "*/reproject/version*", ] [tool.coverage.report] exclude_lines = [ # Have to re-enable the standard pragma "pragma: no cover", # Don't complain about packages we have installed "except ImportError", # Don't complain if tests don't hit assertions "raise AssertionError", "raise NotImplementedError", # Don't complain about script hooks 'def main\(.*\):', # Ignore branches that don't pertain to this version of Python "pragma: py{ignore_python_version}", # Don't complain about IPython completion helper "def _ipython_key_completions_", ] [tool.flake8] max-line-length = "100" [tool.setuptools_scm] write_to = "reproject/version.py" [tool.cibuildwheel] skip = "cp36-* pp* *-musllinux*" test-skip = "*-manylinux_aarch64" [tool.isort] profile = "black" multi_line_output = 3 extend_skip_glob = [ "docs/*", "setup.py"] line_length = 100 known_third_party = ["astropy"] known_first_party = ["reproject"] group_by_package = true indented_import_headings = false length_sort_sections = ["future", "stdlib"] [tool.black] line-length = 100 target-version = ['py38'] [tool.numpydoc_validation] checks = [ "all", # report on all checks, except the below "EX01", "SA01", "SS06", "ES01", "GL08", ] [tool.repo-review] ignore = [ "MY", # ignore MyPy setting checks "PC111", # ignore using `blacken-docs` in pre-commit "PC140", # ignore using `mypy` in pre-commit "PC180", # ignore using `prettier` in pre-commit "PC901", # ignore using custom update message (we have many of the default ones in our history already) "PC170", # ignore using pygrep "PY005", # ignore having a tests/ folder ] [tool.ruff] lint.select = [ "B", # flake8-bugbear "I", # isort "UP", # pyupgrade ] [tool.ruff.lint.extend-per-file-ignores] "docs/conf.py" = ["F405"] # Sphinx injects variables into namespace ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1731975823.571638 reproject-0.14.1/reproject/0000755000175100001770000000000014716755220015205 5ustar00runnerdocker././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/__init__.py0000644000175100001770000000063114716755202017316 0ustar00runnerdocker# Licensed under a 3-clause BSD style license - see LICENSE.rst """ Astropy affiliated package for image reprojection (resampling). """ from .adaptive import reproject_adaptive # noqa from .healpix import reproject_from_healpix, reproject_to_healpix # noqa from .interpolation import reproject_interp # noqa from .spherical_intersect import reproject_exact # noqa from .version import __version__ # noqa ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975823.0 reproject-0.14.1/reproject/_compiler.c0000644000175100001770000000524014716755217017331 0ustar00runnerdocker#include /*************************************************************************** * Macros for determining the compiler version. * * These are borrowed from boost, and majorly abridged to include only * the compilers we care about. ***************************************************************************/ #define STRINGIZE(X) DO_STRINGIZE(X) #define DO_STRINGIZE(X) #X #if defined __clang__ /* Clang C++ emulates GCC, so it has to appear early. */ # define COMPILER "Clang version " __clang_version__ #elif defined(__INTEL_COMPILER) || defined(__ICL) || defined(__ICC) || defined(__ECC) /* Intel */ # if defined(__INTEL_COMPILER) # define INTEL_VERSION __INTEL_COMPILER # elif defined(__ICL) # define INTEL_VERSION __ICL # elif defined(__ICC) # define INTEL_VERSION __ICC # elif defined(__ECC) # define INTEL_VERSION __ECC # endif # define COMPILER "Intel C compiler version " STRINGIZE(INTEL_VERSION) #elif defined(__GNUC__) /* gcc */ # define COMPILER "GCC version " __VERSION__ #elif defined(__SUNPRO_CC) /* Sun Workshop Compiler */ # define COMPILER "Sun compiler version " STRINGIZE(__SUNPRO_CC) #elif defined(_MSC_VER) /* Microsoft Visual C/C++ Must be last since other compilers define _MSC_VER for compatibility as well */ # if _MSC_VER < 1200 # define COMPILER_VERSION 5.0 # elif _MSC_VER < 1300 # define COMPILER_VERSION 6.0 # elif _MSC_VER == 1300 # define COMPILER_VERSION 7.0 # elif _MSC_VER == 1310 # define COMPILER_VERSION 7.1 # elif _MSC_VER == 1400 # define COMPILER_VERSION 8.0 # elif _MSC_VER == 1500 # define COMPILER_VERSION 9.0 # elif _MSC_VER == 1600 # define COMPILER_VERSION 10.0 # else # define COMPILER_VERSION _MSC_VER # endif # define COMPILER "Microsoft Visual C++ version " STRINGIZE(COMPILER_VERSION) #else /* Fallback */ # define COMPILER "Unknown compiler" #endif /*************************************************************************** * Module-level ***************************************************************************/ struct module_state { /* The Sun compiler can't handle empty structs */ #if defined(__SUNPRO_C) || defined(_MSC_VER) int _dummy; #endif }; static struct PyModuleDef moduledef = { PyModuleDef_HEAD_INIT, "compiler_version", NULL, sizeof(struct module_state), NULL, NULL, NULL, NULL, NULL }; #define INITERROR return NULL PyMODINIT_FUNC PyInit_compiler_version(void) { PyObject* m; m = PyModule_Create(&moduledef); if (m == NULL) INITERROR; PyModule_AddStringConstant(m, "compiler", COMPILER); return m; } ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1731975823.575638 reproject-0.14.1/reproject/adaptive/0000755000175100001770000000000014716755220017002 5ustar00runnerdocker././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/adaptive/__init__.py0000644000175100001770000000006314716755202021112 0ustar00runnerdockerfrom .high_level import reproject_adaptive # noqa ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/adaptive/core.py0000644000175100001770000001514414716755202020311 0ustar00runnerdocker# Licensed under a 3-clause BSD style license - see LICENSE.rst import numpy as np from astropy.wcs.utils import pixel_to_pixel from ..wcs_utils import pixel_to_pixel_with_roundtrip from .deforest import map_coordinates __all__ = ["_reproject_adaptive_2d"] class CoordinateTransformer: def __init__(self, wcs_in, wcs_out, roundtrip_coords): self.wcs_in = wcs_in self.wcs_out = wcs_out self.roundtrip_coords = roundtrip_coords def __call__(self, pixel_out): pixel_out = pixel_out[:, :, 0], pixel_out[:, :, 1] if self.roundtrip_coords: pixel_in = pixel_to_pixel_with_roundtrip(self.wcs_out, self.wcs_in, *pixel_out) else: pixel_in = pixel_to_pixel(self.wcs_out, self.wcs_in, *pixel_out) pixel_in = np.array(pixel_in).transpose().swapaxes(0, 1) return pixel_in def _reproject_adaptive_2d( array, wcs_in, wcs_out, shape_out, array_out=None, output_footprint=None, return_footprint=True, center_jacobian=False, despike_jacobian=False, roundtrip_coords=True, conserve_flux=False, kernel="Gaussian", kernel_width=1.3, sample_region_width=4, boundary_mode="strict", boundary_fill_value=0, boundary_ignore_threshold=0.5, x_cyclic=False, y_cyclic=False, bad_value_mode="strict", bad_fill_value=0, ): """ Reproject celestial slices from an n-d array from one WCS to another using the DeForest (2004) algorithm [1]_, and assuming all other dimensions are independent. Parameters ---------- array : `~numpy.ndarray` The array to reproject wcs_in : `~astropy.wcs.WCS` The input WCS wcs_out : `~astropy.wcs.WCS` The output WCS shape_out : tuple The shape of the output array return_footprint : bool Whether to return the footprint in addition to the output array. center_jacobian : bool Whether to compute centered Jacobians despike_jacobian : bool Whether to despike the Jacobians roundtrip_coords : bool Whether to veryfiy that coordinate transformations are defined in both directions. conserve_flux : bool Whether to rescale output pixel values so flux is conserved kernel : str The averaging kernel to use. kernel_width : double The width of the kernel in pixels. Applies only to the Gaussian kernel. sample_region_width : double The width in pixels of the sample region, used only for the Gaussian kernel which otherwise has infinite extent. boundary_mode : str Boundary handling mode boundary_fill_value : double Fill value for 'constant' boundary mode boundary_ignore_threshold : double Threshold for 'ignore_threshold' boundary mode, ranging from 0 to 1. x_cyclic, y_cyclic : bool Marks in input-image axis as cyclic. bad_value_mode : str NaN and inf handling mode bad_fill_value : float Fill value for 'constant' bad value mode Returns ------- array_new : `~numpy.ndarray` The reprojected array footprint : `~numpy.ndarray` Footprint of the input array in the output array. Values of 0 indicate no coverage or valid values in the input image, while values of 1 indicate valid values. References ---------- .. [1] C. E. DeForest, "On Re-sampling of Solar Images" Solar Physics volume 219, pages 3–23 (2004), https://doi.org/10.1023/B:SOLA.0000021743.24248.b0 Note ---- If the input array contains extra dimensions beyond what the input WCS has, the extra leading dimensions are assumed to represent multiple images with the same coordinate information. The transformation is computed once and "broadcast" across those images. """ # Make sure image is floating point array_in = np.asarray(array, dtype=float) shape_out = tuple(shape_out) # Check dimensionality of WCS and shape_out if wcs_in.low_level_wcs.pixel_n_dim != wcs_out.low_level_wcs.pixel_n_dim: raise ValueError("Number of dimensions between input and output WCS should match") elif len(shape_out) < wcs_out.low_level_wcs.pixel_n_dim: raise ValueError("Too few dimensions in shape_out") elif len(array_in.shape) < wcs_in.low_level_wcs.pixel_n_dim: raise ValueError("Too few dimensions in input data") elif len(array_in.shape) != len(shape_out): raise ValueError("Number of dimensions in input and output data should match") # Separate the "extra" dimensions that don't correspond to a WCS axis and # which we'll be looping over extra_dimens_in = array_in.shape[: -wcs_in.low_level_wcs.pixel_n_dim] extra_dimens_out = shape_out[: -wcs_out.low_level_wcs.pixel_n_dim] if extra_dimens_in != extra_dimens_out: raise ValueError("Dimensions to be looped over must match exactly") if array_out is None: array_out = np.empty(shape_out) if output_footprint is None: output_footprint = np.empty(shape_out) if len(array_in.shape) == wcs_in.low_level_wcs.pixel_n_dim: # We don't need to broadcast the transformation over any extra # axes---add an extra axis of length one just so we have something # to loop over in all cases. array_in = array_in.reshape((1, *array_in.shape)) array_out = array_out.reshape((1, *array_out.shape)) elif len(array_in.shape) > wcs_in.low_level_wcs.pixel_n_dim: # We're broadcasting. Flatten the extra dimensions so there's just one # to loop over array_in = array_in.reshape((-1, *array_in.shape[-wcs_in.low_level_wcs.pixel_n_dim :])) array_out = array_out.reshape((-1, *array_out.shape[-wcs_out.low_level_wcs.pixel_n_dim :])) transformer = CoordinateTransformer(wcs_in, wcs_out, roundtrip_coords) map_coordinates( array_in, array_out, transformer, out_of_range_nan=True, center_jacobian=center_jacobian, despiked_jacobian=despike_jacobian, conserve_flux=conserve_flux, kernel=kernel, kernel_width=kernel_width, sample_region_width=sample_region_width, boundary_mode=boundary_mode, boundary_fill_value=boundary_fill_value, boundary_ignore_threshold=boundary_ignore_threshold, x_cyclic=x_cyclic, y_cyclic=y_cyclic, bad_value_mode=bad_value_mode, bad_fill_value=bad_fill_value, ) array_out.shape = shape_out if return_footprint: output_footprint[:] = (~np.isnan(array_out)).astype(float) return array_out, output_footprint else: return array_out ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/adaptive/deforest.pyx0000644000175100001770000010274414716755202021367 0ustar00runnerdocker#cython: boundscheck=False, wraparound=False, nonecheck=False, cdivision=True, language_level=3str #distutils: define_macros=NPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION # Cython implementation of the image resampling method described in "On # resampling of Solar Images", C.E. DeForest, Solar Physics 2004 # Original version copyright (c) 2014, Ruben De Visscher. All rights reserved. # v2 updates copyright (c) 2022, Sam Van Kooten. All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # * Redistributions of source code must retain the above copyright notice, # this list of conditions and the following disclaimer. # # * Redistributions in binary form must reproduce the above copyright notice, # this list of conditions and the following disclaimer in the documentation # and/or other materials provided with the distribution. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" # AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE # ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE # LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR # CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF # SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS # INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN # CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) # ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE # POSSIBILITY OF SUCH DAMAGE. import numpy as np cimport cython cimport numpy as np from libc.math cimport atan2, ceil, cos, exp, fabs, floor, round, sin, sqrt from libc.stdlib cimport qsort import sys np.import_array() cdef double pi = np.pi cdef double nan = np.nan cdef extern from "math.h": int isnan(double x) nogil int isinf(double x) nogil @cython.boundscheck(False) @cython.wraparound(False) @cython.nonecheck(False) @cython.cdivision(True) cdef void svd2x2_decompose(double[:,:] M, double[:,:] U, double[:] s, double[:,:] V) noexcept nogil: cdef double E = (M[0,0] + M[1,1]) / 2 cdef double F = (M[0,0] - M[1,1]) / 2 cdef double G = (M[1,0] + M[0,1]) / 2 cdef double H = (M[1,0] - M[0,1]) / 2 cdef double Q = sqrt(E*E + H*H) cdef double R = sqrt(F*F + G*G) s[0] = Q + R s[1] = Q - R cdef double a1 = atan2(G,F) cdef double a2 = atan2(H,E) cdef double theta = (a2 - a1) / 2 cdef double phi = (a2 + a1) / 2 U[0,0] = cos(phi) U[0,1] = -sin(phi) U[1,0] = sin(phi) U[1,1] = cos(phi) V[0,0] = cos(theta) V[0,1] = sin(theta) V[1,0] = -sin(theta) V[1,1] = cos(theta) @cython.boundscheck(False) @cython.wraparound(False) @cython.nonecheck(False) @cython.cdivision(True) cdef double det2x2(double[:,:] M) noexcept nogil: return M[0,0]*M[1,1] - M[0,1]*M[1,0] @cython.boundscheck(False) @cython.wraparound(False) @cython.nonecheck(False) @cython.cdivision(True) cdef void svd2x2_compose(double[:,:] U, double[:] s, double[:,:] V, double[:,:] M) noexcept nogil: cdef double tmp00, tmp01, tmp10, tmp11 tmp00 = U[0,0] * s[0] tmp01 = U[0,1] * s[1] tmp10 = U[1,0] * s[0] tmp11 = U[1,1] * s[1] # Multiply with transpose of V M[0,0] = tmp00 * V[0,0] + tmp01 * V[0,1] M[0,1] = tmp00 * V[1,0] + tmp01 * V[1,1] M[1,0] = tmp10 * V[0,0] + tmp11 * V[0,1] M[1,1] = tmp10 * V[1,0] + tmp11 * V[1,1] @cython.boundscheck(False) @cython.wraparound(False) @cython.nonecheck(False) @cython.cdivision(True) cdef double hanning_filter(double x, double y) noexcept nogil: x = fabs(x) y = fabs(y) if x >= 1 or y >= 1: return 0 return (cos(x * pi)+1.0) * (cos(y * pi)+1.0) @cython.boundscheck(False) @cython.wraparound(False) @cython.nonecheck(False) @cython.cdivision(True) cdef double gaussian_filter(double x, double y, double width) noexcept nogil: return exp(-(x*x+y*y) / (width*width) * 2) @cython.boundscheck(False) @cython.wraparound(False) @cython.nonecheck(False) @cython.cdivision(True) cdef double clip(double x, double vmin, double vmax, int cyclic, int out_of_range_nearest) noexcept nogil: """Applies boundary conditions to an intended array coordinate. Specifically, if the point is outside the array bounds, this function wraps the coordinate if the boundary is periodic, or clamps to the nearest valid coordinate if desired, or else returns NaN. """ if x < vmin: if cyclic: while x < vmin: x += (vmax-vmin)+1 elif out_of_range_nearest: return vmin else: return nan elif x > vmax: if cyclic: while x > vmax: x -= (vmax-vmin)+1 elif out_of_range_nearest: return vmax else: return nan return x @cython.boundscheck(False) @cython.wraparound(False) @cython.nonecheck(False) @cython.cdivision(True) cdef bint sample_array(const double[:,:,:] source, double[:] dest, double x, double y, int x_cyclic, int y_cyclic, bint out_of_range_nearest) noexcept nogil: x = clip(x, 0, source.shape[2] - 1, x_cyclic, out_of_range_nearest) y = clip(y, 0, source.shape[1] - 1, y_cyclic, out_of_range_nearest) if isnan(x) or isnan(y): # Indicates the coordinate is outside the array's bounds and the # boundary-handling mode doesn't provide an alternative coordinate. return False # Cython doesn't like a return type of (double[:], bint), so we put the # input data into the provided output array dest[:] = source[:, y, x] return True @cython.boundscheck(False) @cython.wraparound(False) @cython.nonecheck(False) @cython.cdivision(True) cdef void calculate_jacobian(double[:, :] Ji, int center_jacobian, int yi, int xi, double[:, :, :] offset_source_x, double[:, :, :] offset_source_y, double[:, :, :] Jx, double[:, :, :] Jy) noexcept nogil: """ Utility function to calculate the Jacobian at one (yi, xi) location""" if center_jacobian: # Compute the Jacobian for the transformation applied to # this pixel, as finite differences. Ji[0,0] = -offset_source_x[yi, xi, 0] + offset_source_x[yi, xi+1, 0] Ji[1,0] = -offset_source_x[yi, xi, 1] + offset_source_x[yi, xi+1, 1] Ji[0,1] = -offset_source_y[yi, xi, 0] + offset_source_y[yi+1, xi, 0] Ji[1,1] = -offset_source_y[yi, xi, 1] + offset_source_y[yi+1, xi, 1] else: # Compute the Jacobian for the transformation applied to # this pixel, as a mean of the Jacobian a half-pixel # forwards and backwards. Ji[0,0] = (Jx[yi, xi, 0] + Jx[yi, xi+1, 0]) / 2 Ji[1,0] = (Jx[yi, xi, 1] + Jx[yi, xi+1, 1]) / 2 Ji[0,1] = (Jy[yi, xi, 0] + Jy[yi+1, xi, 0]) / 2 Ji[1,1] = (Jy[yi, xi, 1] + Jy[yi+1, xi, 1]) / 2 @cython.boundscheck(False) @cython.wraparound(False) @cython.nonecheck(False) @cython.cdivision(True) cdef int cmp_func(const void* a, const void* b) noexcept nogil: cdef double a_v = (a)[0] cdef double b_v = (b)[0] if a_v < b_v: return -1 elif a_v == b_v: return 0 else: return 1 @cython.boundscheck(False) @cython.wraparound(False) @cython.nonecheck(False) @cython.cdivision(True) cdef void sort(double[:] a) noexcept nogil: qsort(&a[0], a.shape[0], a.strides[0], &cmp_func) @cython.boundscheck(False) @cython.wraparound(False) @cython.nonecheck(False) @cython.cdivision(True) cdef void despike_jacobian(double[:, :, :, :] jacobian): """Detects and fixes pixels where the Jacobian is extremely large This can occur, e.g., for an all-sky map at the point where the longitude wraps around. In such cases, the large Jacobian is an artefact of the coordinates and should be eliminated. The spike detection uses the typical magnitude (distance from determinant) of the Jacobian matrix Jmag2 = sum_j sum_i (J_ij**2). The value of Jmag2 is calculated in the 3x3 neighborhood around each pixel, and the 25th percentile value (the third lowest value) is kept. Anywhere Jmag2 > Jmag2_25pct * threshold_factor is marked as a spike. Threshold_factor is currently hardcoded to 10. The Jacobian's components at spike locations are replaced with the mean of those from nearby non-spike locations. The average-magnitude-of-Jacobian method works okay because the typical use case is for pixel to pixel mapping (resampling data sets), where the overall singular value ratio is not likely to be large (less than, say, 30). """ # Compute the magnitude of the Jacobian cdef double[:, :] Jmag2 = np.empty((jacobian.shape[0], jacobian.shape[1])) cdef int xi, yi for yi in range(jacobian.shape[0]): for xi in range(jacobian.shape[1]): Jmag2[yi, xi] = ( jacobian[yi, xi, 0, 0]**2 + jacobian[yi, xi, 0, 1]**2 + jacobian[yi, xi, 1, 0]**2 + jacobian[yi, xi, 1, 1]**2) # Cycle through and look for outliers cdef double percentile, thresh cdef int n_contributing, ymax, xmax ymax = jacobian.shape[0] - 2 xmax = jacobian.shape[1] - 2 cdef double[:] neighborhood = np.empty(9) with nogil: for yi in range(1, ymax + 1): for xi in range(1, xmax + 1): neighborhood[0:3] = Jmag2[yi-1, xi-1:xi+2] neighborhood[3:6] = Jmag2[yi, xi-1:xi+2] neighborhood[6:] = Jmag2[yi+1, xi-1:xi+2] # Computing the percentile through this C function is *much* # faster than calling np.percentile. sort(neighborhood) percentile = neighborhood[2] thresh = 10 * percentile if Jmag2[yi, xi] > thresh: # This pixel is an outlier. Replace it with an average of # the neighboring, non-outlier pixels fill_in_jacobian( jacobian, xi, xi-1, xi+1, yi, yi-1, yi+1, Jmag2, thresh) # Check edges if yi == 1 and Jmag2[0, xi] > thresh: fill_in_jacobian( jacobian, xi, xi-1, xi+1, 0, 0, 1, Jmag2, thresh) if yi == ymax and Jmag2[ymax+1, xi] > thresh: fill_in_jacobian( jacobian, xi, xi-1, xi+1, ymax+1, ymax, ymax+1, Jmag2, thresh) if xi == 1 and Jmag2[yi, 0] > thresh: fill_in_jacobian( jacobian, 0, 0, 1, yi, yi-1, yi+1, Jmag2, thresh) if xi == xmax and Jmag2[yi, xmax+1] > thresh: fill_in_jacobian( jacobian, xmax+1, xmax, xmax+1, yi, yi-1, yi+1, Jmag2, thresh) @cython.boundscheck(False) @cython.wraparound(False) @cython.nonecheck(False) @cython.cdivision(True) cdef void fill_in_jacobian(double[:, :, :, :] jacobian, int xi, int xfirst, int xlast, int yi, int yfirst, int ylast, double[:, :] Jmag2, double thresh) noexcept nogil: """ Utility function that replaces a spiking Jacobian pixel """ jacobian[yi, xi] = 0 cdef int n_contributing = 0 for i in range(yfirst, ylast+1): for j in range(xfirst, xlast+1): if i == yi and j == xi: continue if Jmag2[i, j] < thresh: n_contributing += 1 jacobian[yi, xi, 0, 0] += jacobian[i, j, 0, 0] jacobian[yi, xi, 0, 1] += jacobian[i, j, 0, 1] jacobian[yi, xi, 1, 0] += jacobian[i, j, 1, 0] jacobian[yi, xi, 1, 1] += jacobian[i, j, 1, 1] jacobian[yi, xi, 0, 0] /= n_contributing jacobian[yi, xi, 0, 1] /= n_contributing jacobian[yi, xi, 1, 0] /= n_contributing jacobian[yi, xi, 1, 1] /= n_contributing KERNELS = {} KERNELS['hann'] = 0 KERNELS['hanning'] = KERNELS['hann'] KERNELS['gaussian'] = 1 BOUNDARY_MODES = {} BOUNDARY_MODES['strict'] = 1 BOUNDARY_MODES['constant'] = 2 BOUNDARY_MODES['grid-constant'] = 3 BOUNDARY_MODES['ignore'] = 4 BOUNDARY_MODES['ignore_threshold'] = 5 BOUNDARY_MODES['nearest'] = 6 BAD_VALUE_MODES = {} BAD_VALUE_MODES['strict'] = 1 BAD_VALUE_MODES['constant'] = 2 BAD_VALUE_MODES['ignore'] = 3 @cython.boundscheck(False) @cython.wraparound(False) @cython.nonecheck(False) @cython.cdivision(True) def map_coordinates(const double[:,:,:] source, double[:,:,:] target, Ci, int max_samples_width=-1, int conserve_flux=False, int progress=False, int singularities_nan=False, int x_cyclic=False, int y_cyclic=False, int out_of_range_nan=False, bint center_jacobian=False, bint despiked_jacobian=False, str kernel='gaussian', double kernel_width=1.3, double sample_region_width=4, str boundary_mode="strict", double boundary_fill_value=0, double boundary_ignore_threshold=0.5, str bad_value_mode="strict", double bad_fill_value=0, ): # n.b. the source and target arrays are expected to contain three # dimensions---the last two are the image dimensions, while the first # indexes multiple images with the same coordinates. The transformation is # computed once, and then each image is reprojected using that # transformation. For the single-image case, the first dimension is still # required and will have size 1. cdef int kernel_flag try: kernel_flag = KERNELS[kernel.lower()] except KeyError: raise ValueError("'kernel' must be 'Hann' or 'Gaussian'") cdef int boundary_flag try: boundary_flag = BOUNDARY_MODES[boundary_mode.lower()] except KeyError: raise ValueError( f"boundary_mode '{boundary_mode}' not recognized") from None cdef int bad_val_flag try: bad_val_flag = BAD_VALUE_MODES[bad_value_mode.lower()] except KeyError: raise ValueError( f"bad_value_mode '{bad_value_mode}' not recognized") from None cdef np.ndarray[np.float64_t, ndim=3] pixel_target cdef int delta if center_jacobian: pixel_target = np.zeros((target.shape[1], target.shape[2], 2)) delta = 0 else: # Pad by one on all four sides of the array, so we can interpolate # Jacobian values from both directions at all points. pixel_target = np.zeros((target.shape[1]+2, target.shape[2]+2, 2)) # With this delta set, the value of pixel_target at (0,0) will really # be representing (-1,-1) in the output image. delta = -1 cdef int yi, xi, y, x for yi in range(pixel_target.shape[0]): for xi in range(pixel_target.shape[1]): pixel_target[yi,xi,0] = xi + delta pixel_target[yi,xi,1] = yi + delta cdef np.ndarray[np.float64_t, ndim=3] offset_target_x cdef np.ndarray[np.float64_t, ndim=3] offset_target_y if center_jacobian: # Prepare arrays marking coordinates offset by a half pixel, to allow # for calculating centered Jacobians for each output pixel by using the # corresponding input coordinate at locations offset by +/- 0.5 pixels. offset_target_x = np.zeros((target.shape[1], target.shape[2]+1, 2)) offset_target_y = np.zeros((target.shape[1]+1, target.shape[2], 2)) for yi in range(target.shape[1]): for xi in range(target.shape[2]): offset_target_x[yi,xi,0] = xi - 0.5 offset_target_x[yi,xi,1] = yi offset_target_y[yi,xi,0] = xi offset_target_y[yi,xi,1] = yi - 0.5 offset_target_x[yi,target.shape[2],0] = target.shape[2]-1 + 0.5 offset_target_x[yi,target.shape[2],1] = yi for xi in range(target.shape[2]): offset_target_y[target.shape[1],xi,0] = xi offset_target_y[target.shape[1],xi,1] = target.shape[1]-1 + 0.5 # These source arrays store a corresponding input-image coordinate for each # pixel in the output image. cdef np.ndarray[np.float64_t, ndim=3] pixel_source = Ci(pixel_target) cdef double[:,:,:] offset_source_x = None cdef double[:,:,:] offset_source_y = None cdef double[:,:,:] Jx = None cdef double[:,:,:] Jy = None if center_jacobian: offset_source_x = Ci(offset_target_x) offset_source_y = Ci(offset_target_y) else: # Pre-calculate the Jacobian at each pixel location, with values # representing the Jacobian halfway between two grid points, and thus # the values of Jx at [0, 0, :] representing # d(input coordinate)/d(output x) at (x=-.5, y=0) in the output image, # and Jy at [0, 0, :] representing d(input coordinate)/d(output y) at # (x=0,y=-.5). Jx = np.empty((target.shape[1], target.shape[2] + 1, 2)) Jy = np.empty((target.shape[1] + 1, target.shape[2], 2)) for yi in range(target.shape[1]): for xi in range(target.shape[2]): Jx[yi, xi, 0] = -pixel_source[yi+1, xi, 0] + pixel_source[yi+1, xi+1, 0] Jx[yi, xi, 1] = -pixel_source[yi+1, xi, 1] + pixel_source[yi+1, xi+1, 1] Jy[yi, xi, 0] = -pixel_source[yi, xi+1, 0] + pixel_source[yi+1, xi+1, 0] Jy[yi, xi, 1] = -pixel_source[yi, xi+1, 1] + pixel_source[yi+1, xi+1, 1] xi = target.shape[2] Jx[yi, xi, 0] = -pixel_source[yi+1, xi, 0] + pixel_source[yi+1, xi+1, 0] Jx[yi, xi, 1] = -pixel_source[yi+1, xi, 1] + pixel_source[yi+1, xi+1, 1] yi = target.shape[1] for xi in range(target.shape[2]): Jy[yi, xi, 0] = -pixel_source[yi, xi+1, 0] + pixel_source[yi+1, xi+1, 0] Jy[yi, xi, 1] = -pixel_source[yi, xi+1, 1] + pixel_source[yi+1, xi+1, 1] # Now trim the padding we added earlier. Since `delta` was used above, # the value at (0,0) will now truly represent (0,0) and so on. After # this point, pixel_source is the same for both the centered and # uncentered Jacobian paths. pixel_source = pixel_source[1:-1, 1:-1] cdef double[:,:] Ji = np.zeros((2, 2)) cdef double[:, :, :, :] jacobian = None if despiked_jacobian: # To do despiking, we need to have all the final Jacobian values # computed and ready. If we're not despiking, there's no need to hold # all the values in memory at once. jacobian = np.empty((target.shape[1], target.shape[2], 2, 2)) for yi in range(target.shape[1]): for xi in range(target.shape[2]): calculate_jacobian(Ji, center_jacobian, yi, xi, offset_source_x, offset_source_y, Jx, Jy) jacobian[yi, xi] = Ji despike_jacobian(jacobian) cdef double[:,:] Ji_padded = np.zeros((2, 2)) cdef double[:,:] J = np.zeros((2, 2)) cdef double[:,:] U = np.zeros((2, 2)) cdef double[:] s = np.zeros((2,)) cdef double[:,:] V = np.zeros((2, 2)) cdef int samples_width cdef double[:] transformed = np.zeros((2,)) cdef double[:] current_pixel_source = np.zeros((2,)) cdef double[:] current_offset = np.zeros((2,)) cdef double[:] weight_sum = np.empty(source.shape[0]) cdef double ignored_weight_sum cdef double weight cdef double[:] value = np.empty(source.shape[0]) cdef double[:] P1 = np.empty((2,)) cdef double[:] P2 = np.empty((2,)) cdef double[:] P3 = np.empty((2,)) cdef double[:] P4 = np.empty((2,)) cdef double top, bottom, left, right cdef double determinant = 0 cdef bint has_sampled_this_row cdef bint sample_in_bounds with nogil: # Iterate through each pixel in the output image. for yi in range(target.shape[1]): for xi in range(target.shape[2]): if despiked_jacobian: Ji = jacobian[yi, xi] else: calculate_jacobian(Ji, center_jacobian, yi, xi, offset_source_x, offset_source_y, Jx, Jy) if isnan(Ji[0,0]) or isnan(Ji[0,1]) or isnan(Ji[1,0]) or isnan(Ji[1,1]) or isnan(pixel_source[yi,xi,0]) or isnan(pixel_source[yi,xi,1]): target[:,yi,xi] = nan continue # Find and pad the singular values of the Jacobian. svd2x2_decompose(Ji, U, s, V) s[0] = max(1.0, s[0]) s[1] = max(1.0, s[1]) svd2x2_compose(U, s, V, Ji_padded) # Build J, the inverse of Ji, by using 1/s and swapping the # order of U and V. s[0] = 1.0/s[0] s[1] = 1.0/s[1] svd2x2_compose(V, s, U, J) # We'll need to sample some number of input image pixels to set # this output pixel. Later on, we'll compute weights to assign # to each input pixel, and they will be at or near zero outside # some range. Right now, we'll determine a search region within # the input image---a bounding box around those pixels that # will be assigned non-zero weights. # # We do that by defining a square region in the output plane # centered on the output pixel, and transforming its corners to # the input plane (using the local linearization of the # transformation). Those transformed coordinates will set our # bounding box. if kernel_flag == 0: # The Hann window is zero outside +/-1, so # that's how far we need to go. # # The Hann window width is twice the width of a pixel---it # runs to the centers of the neighboring pixels, rather # than the edges of those pixels. This ensures that, at # every point, the sum of the overlapping Hann windows is # 1, and therefore that every input-image pixel is fully # distributed into some combination of output pixels (in # the limit of a Jacobian that is constant across all # output pixels). P1[0] = - 1 * Ji_padded[0, 0] + 1 * Ji_padded[0, 1] P1[1] = - 1 * Ji_padded[1, 0] + 1 * Ji_padded[1, 1] P2[0] = + 1 * Ji_padded[0, 0] + 1 * Ji_padded[0, 1] P2[1] = + 1 * Ji_padded[1, 0] + 1 * Ji_padded[1, 1] P3[0] = - 1 * Ji_padded[0, 0] - 1 * Ji_padded[0, 1] P3[1] = - 1 * Ji_padded[1, 0] - 1 * Ji_padded[1, 1] P4[0] = + 1 * Ji_padded[0, 0] - 1 * Ji_padded[0, 1] P4[1] = + 1 * Ji_padded[1, 0] - 1 * Ji_padded[1, 1] # Find a bounding box around the transformed coordinates. # (Check all four points at each step, in case a negative # Jacobian value is mirroring the transformed pixel.) top = max(P1[1], P2[1], P3[1], P4[1]) bottom = min(P1[1], P2[1], P3[1], P4[1]) right = max(P1[0], P2[0], P3[0], P4[0]) left = min(P1[0], P2[0], P3[0], P4[0]) elif kernel_flag == 1: # The Gaussian window is non-zero everywhere, but it's # close to zero almost everywhere. Sampling the whole input # image isn't tractable, so we truncate and sample only # within a certain region. # n.b. `s` currently contains the reciprocal of the # singular values top = sample_region_width / (2 * min(s[0], s[1])) bottom = -top right = top left = -right else: with gil: raise ValueError("Invalid kernel type") if max_samples_width > 0 and max(right-left, top-bottom) > max_samples_width: if singularities_nan: target[:,yi,xi] = nan else: sample_in_bounds = sample_array( source, value, current_pixel_source[0], current_pixel_source[1], x_cyclic, y_cyclic, out_of_range_nearest=boundary_flag == 6) if sample_in_bounds: for i in range(target.shape[0]): if bad_val_flag != 1 and (isnan(value[i]) or isinf(value[i])): if bad_val_flag == 2: target[i,yi,xi] = bad_fill_value else: target[i,yi,xi] = nan else: target[i,yi,xi] = value[i] elif boundary_flag == 2 or boundary_flag == 3: target[:,yi,xi] = boundary_fill_value else: target[:,yi,xi] = nan continue top += pixel_source[yi,xi,1] bottom += pixel_source[yi,xi,1] right += pixel_source[yi,xi,0] left += pixel_source[yi,xi,0] # Draw these points in to the nearest input pixel bottom = ceil(bottom) top = floor(top) left = ceil(left) right = floor(right) # Handle the case that the sampling region extends beyond the # input image boundary. For 'strict' handling, we can set the # output pixel to NaN right away. For 'ignore' handling, we can # clamp the region to exclude the out-of-bounds samples. For # all other boundary modes, we still need to calculate weights # for each out-of-bounds sample, so we do nothing here. if not x_cyclic: if right > source.shape[2] - 1: if boundary_flag == 1: target[:,yi,xi] = nan continue if boundary_flag == 4: right = source.shape[2] - 1 if left < 0: if boundary_flag == 1: target[:,yi,xi] = nan continue if boundary_flag == 4: left = 0 if not y_cyclic: if top > source.shape[1] - 1: if boundary_flag == 1: target[:,yi,xi] = nan continue if boundary_flag == 4: top = source.shape[1] - 1 if bottom < 0: if boundary_flag == 1: target[:,yi,xi] = nan continue if boundary_flag == 4: bottom = 0 # Check whether the sampling region falls entirely outside the # input image. For strict boundary handling, this is already # handled above by the partial case. Otherwise, we fill in an # appropriate value and move along. For some projections, the # sampling region can become very large when well outside the # input image, and so this detection becomes an important # optimization. if (not x_cyclic and (right < 0 or left > source.shape[2] - 1) or not y_cyclic and (top < 0 or bottom > source.shape[1] - 1)): if boundary_flag == 3: target[:,yi,xi] = boundary_fill_value continue if (boundary_flag == 2 or boundary_flag == 4 or boundary_flag == 5): target[:,yi,xi] = nan continue if boundary_flag == 6: # Just sample one row or column so that we get all of # the nearest values. Both kernels vary independently # in x and y, so sampling the full region isn't needed # when the sampled values are constant in x or in y. if right < left: right = left if top < bottom: top = bottom target[:,yi,xi] = 0 weight_sum[:] = 0 ignored_weight_sum = 0 # Iterate through that bounding box in the input image. for y in range( bottom, top+1): current_pixel_source[1] = y current_offset[1] = current_pixel_source[1] - pixel_source[yi,xi,1] has_sampled_this_row = False for x in range( left, right+1): current_pixel_source[0] = x current_offset[0] = current_pixel_source[0] - pixel_source[yi,xi,0] # Find the fractional position of the input location # within the transformed ellipse. transformed[0] = J[0,0] * current_offset[0] + J[0,1] * current_offset[1] transformed[1] = J[1,0] * current_offset[0] + J[1,1] * current_offset[1] # Compute an averaging weight to be assigned to this # input location. if kernel_flag == 0: weight = hanning_filter( transformed[0], transformed[1]) elif kernel_flag == 1: weight = gaussian_filter( transformed[0], transformed[1], kernel_width) else: with gil: raise ValueError("Invalid kernel type") if weight == 0: # As we move along each row in the image, we'll # first be seeing input-plane pixels that don't map # back into the desired output region (i.e. they # fall outside the Hanning window), then we'll see # pixels that do get sampled for our output-plane # pixel, and then we'll see more that don't. Once # we're seeing that second group, we know we've # found everything of interest in the row and can # end this inner loop early. (One could be smart # about skipping that first group of unused pixels, # but doing so is less trivial, and skipping the # second group is already only a small gain.) if has_sampled_this_row: break continue has_sampled_this_row = True sample_in_bounds = sample_array( source, value, current_pixel_source[0], current_pixel_source[1], x_cyclic, y_cyclic, out_of_range_nearest=(boundary_flag == 6)) if ((boundary_flag == 2 or boundary_flag == 3) and not sample_in_bounds): value[:] = boundary_fill_value sample_in_bounds = True if sample_in_bounds: for i in range(target.shape[0]): if bad_val_flag != 1 and (isnan(value[i]) or isinf(value[i])): if bad_val_flag == 2: value[i] = bad_fill_value else: # bad_val_flag is 3: 'ignore' continue target[i,yi,xi] += weight * value[i] weight_sum[i] += weight else: if boundary_flag == 5: ignored_weight_sum += weight if boundary_flag == 5: for i in range(target.shape[0]): if (ignored_weight_sum / (ignored_weight_sum + weight_sum[i]) > boundary_ignore_threshold): target[i,yi,xi] = nan if conserve_flux: determinant = fabs(det2x2(Ji)) for i in range(target.shape[0]): target[i,yi,xi] /= weight_sum[i] if conserve_flux: target[i,yi,xi] *= determinant if progress: with gil: sys.stdout.write("\r%d/%d done" % (yi+1, target.shape[1])) sys.stdout.flush() if progress: sys.stdout.write("\n") ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/adaptive/high_level.py0000644000175100001770000003153414716755202021470 0ustar00runnerdocker# Licensed under a 3-clause BSD style license - see LICENSE.rst from ..common import _reproject_dispatcher from ..utils import parse_input_data, parse_output_projection from .core import _reproject_adaptive_2d __all__ = ["reproject_adaptive"] def reproject_adaptive( input_data, output_projection, shape_out=None, hdu_in=0, center_jacobian=False, despike_jacobian=False, roundtrip_coords=True, conserve_flux=False, kernel="gaussian", kernel_width=1.3, sample_region_width=4, boundary_mode="strict", boundary_fill_value=0, boundary_ignore_threshold=0.5, x_cyclic=False, y_cyclic=False, bad_value_mode="strict", bad_fill_value=0, output_array=None, output_footprint=None, return_footprint=True, block_size=None, parallel=False, return_type=None, ): """ Reproject a 2D array from one WCS to another using the DeForest (2004) adaptive, anti-aliased resampling algorithm, with optional flux conservation. This algorithm smoothly transitions between filtered interpolation and spatial averaging, depending on the scaling applied by the transformation at each output location. Parameters ---------- input_data : object The input data to reproject. This can be: * The name of a FITS file as a `str` or a `pathlib.Path` object * An `~astropy.io.fits.HDUList` object * An image HDU object such as a `~astropy.io.fits.PrimaryHDU`, `~astropy.io.fits.ImageHDU`, or `~astropy.io.fits.CompImageHDU` instance * A tuple where the first element is a `~numpy.ndarray` and the second element is either a `~astropy.wcs.wcsapi.BaseLowLevelWCS`, `~astropy.wcs.wcsapi.BaseHighLevelWCS`, or a `~astropy.io.fits.Header` object * An `~astropy.nddata.NDData` object from which the ``.data`` and ``.wcs`` attributes will be used as the input data. If the data array contains more dimensions than are described by the input header or WCS, the extra dimensions (assumed to be the first dimensions) are taken to represent multiple images with the same coordinate information. The coordinate transformation will be computed once and then each image will be reprojected, offering a speedup over reprojecting each image individually. output_projection : `~astropy.wcs.wcsapi.BaseLowLevelWCS` or `~astropy.wcs.wcsapi.BaseHighLevelWCS` or `~astropy.io.fits.Header` The output projection, which can be either a `~astropy.wcs.wcsapi.BaseLowLevelWCS`, `~astropy.wcs.wcsapi.BaseHighLevelWCS`, or a `~astropy.io.fits.Header` instance. shape_out : tuple, optional If ``output_projection`` is a WCS instance, the shape of the output data should be specified separately. hdu_in : int or str, optional If ``input_data`` is a FITS file or an `~astropy.io.fits.HDUList` instance, specifies the HDU to use. center_jacobian : bool A Jacobian matrix is calculated, representing d(input image coordinate) / d(output image coordinate), a local linearization of the coordinate transformation. When this flag is ``True``, the Jacobian is calculated at pixel grid points by calculating the transformation at locations offset by half a pixel. This is more accurate but carries the cost of tripling the number of coordinate transforms done by this routine. This is recommended if your coordinate transform varies significantly and non-smoothly between output pixels. When ``False``, the Jacobian is calculated using pixel-grid-point transforms, which produces Jacobian values at locations between pixel grid points, and nearby Jacobian values are averaged to produce values at the pixel grid points. This is more efficient, and the loss of accuracy is extremely small for transformations that vary smoothly between pixels. Defaults to ``False``. despike_jacobian : bool Whether to despike the computed Jacobian values. In some situations (e.g. an all-sky map, with a wrap point in the longitude), extremely large Jacobian values may be computed which are artifacts of the coordinate system definition, rather than reflecting the actual nature of the coordinate transformation. This may result in a band of ``nan`` pixels in the output image. In these situations, if the actual transformation is approximately constant in the region of these artifacts, this option should be enabled. If enabled, the typical magnitude (distance from the determinant) of the Jacobian matrix, ``Jmag2 = sum_j sum_i (J_ij**2)``, is computed for each pixel and compared to the 25th percentile of that value in the local 3x3 neighborhood (i.e. the third-lowest value). If it exceeds that percentile value by more than 10 times, the Jacobian matrix is deemed to be "spiking" and it is replaced by the average of the non-spiking values in the 3x3 neighborhood. roundtrip_coords : bool Whether to verify that coordinate transformations are defined in both directions. conserve_flux : bool Whether to rescale output pixel values so flux is conserved. kernel : str The averaging kernel to use. Allowed values are 'Hann' and 'Gaussian'. Case-insensitive. The Gaussian kernel produces better photometric accuracy and stronger anti-aliasing at the cost of some blurring (on the scale of a few pixels). If not specified, the Gaussain kernel is used by default. kernel_width : double The width of the kernel in pixels, measuring to +/- 1 sigma for the Gaussian window. Does not apply to the Hann window. Reducing this width may introduce photometric errors or leave input pixels under-sampled, while increasing it may improve the degree of anti-aliasing but will increase blurring of the output image. If this width is changed from the default, a proportional change should be made to the value of sample_region_width to maintain an equivalent degree of photometric accuracy. sample_region_width : double The width in pixels of the output-image region which, when transformed to the input plane, defines the region to be sampled for each output pixel. Used only for the Gaussian kernel, which otherwise has infinite extent. This value sets a trade-off between accuracy and computation time, with better accuracy at higher values. The default value of 4, with the default kernel width, should limit the most extreme errors to less than one percent. Higher values will offer even more photometric accuracy. boundary_mode : str How to handle when the sampling region includes regions outside the bounds of the input image. The default is ``strict``. Allowed values are: * ``strict`` --- Output pixels will be NaN if any input sample falls outside the input image. * ``constant`` --- Samples outside the input image are replaced by a constant value, set with the ``boundary_fill_value`` argument. Output values become NaN if there are no valid input samples. * ``grid-constant`` --- Samples outside the input image are replaced by a constant value, set with the ``boundary_fill_value`` argument. Output values will be ``boundary_fill_value`` if there are no valid input samples. * ``ignore`` --- Samples outside the input image are simply ignored, contributing neither to the output value nor the sum-of-weights normalization. * ``ignore_threshold`` --- Acts as ``ignore``, unless the total weight of the ignored samples exceeds a set fraction of the total weight across the entire sampling region, set by the ``boundary_ignore_threshold`` argument. In that case, acts as ``strict``. * ``nearest`` --- Samples outside the input image are replaced by the nearest in-bounds input pixel. boundary_fill_value : double The constant value used by the ``constant`` boundary mode. boundary_ignore_threshold : double The threshold used by the ``ignore_threshold`` boundary mode. Should be a value between 0 and 1, representing a fraction of the total weight across the sampling region. x_cyclic, y_cyclic : bool Indicates that the x or y axis of the input image should be treated as cyclic or periodic. Overrides the boundary mode for that axis, so that out-of-bounds samples wrap to the other side of the image. bad_value_mode : str How to handle values of ``nan`` and ``inf`` in the input data. The default is ``strct``. Allowed values are: * ``strict`` --- Values of ``nan`` or ``inf`` in the input data are propagated to every output value which samples them. * ``ignore`` --- When a sampled input value is ``nan`` or ``inf``, that input pixel is ignored (affected neither the accumulated sum of weighted samples nor the accumulated sum of weights). * ``constant`` --- Input values of ``nan`` and ``inf`` are replaced with a constant value, set via the ``bad_fill_value`` argument. bad_fill_value : double The constant value used by the ``constant`` bad-value mode. output_array : None or `~numpy.ndarray` An array in which to store the reprojected data. This can be any numpy array including a memory map, which may be helpful when dealing with extremely large files. output_footprint : `~numpy.ndarray`, optional An array in which to store the footprint of reprojected data. This can be any numpy array including a memory map, which may be helpful when dealing with extremely large files. return_footprint : bool Whether to return the footprint in addition to the output array. block_size : tuple or 'auto', optional The size of blocks in terms of output array pixels that each block will handle reprojecting. Extending out from (0,0) coords positively, block sizes are clamped to output space edges when a block would extend past edge. Specifying ``'auto'`` means that reprojection will be done in blocks with the block size automatically determined. If ``block_size`` is not specified or set to `None`, the reprojection will not be carried out in blocks. parallel : bool or int or str, optional If `True`, the reprojection is carried out in parallel, and if a positive integer, this specifies the number of threads to use. The reprojection will be parallelized over output array blocks specified by ``block_size`` (if the block size is not set, it will be determined automatically). To use the currently active dask scheduler (e.g. dask.distributed), set this to ``'current-scheduler'``. return_type : {'numpy', 'dask'}, optional Whether to return numpy or dask arrays - defaults to 'numpy'. Returns ------- array_new : `~numpy.ndarray` The reprojected array. footprint : `~numpy.ndarray` Footprint of the input array in the output array. Values of 0 indicate no coverage or valid values in the input image, while values of 1 indicate valid values. """ # TODO: add support for output_array array_in, wcs_in = parse_input_data(input_data, hdu_in=hdu_in) wcs_out, shape_out = parse_output_projection( output_projection, shape_in=array_in.shape, shape_out=shape_out ) return _reproject_dispatcher( _reproject_adaptive_2d, array_in=array_in, wcs_in=wcs_in, wcs_out=wcs_out, shape_out=shape_out, array_out=output_array, parallel=parallel, block_size=block_size, return_footprint=return_footprint, output_footprint=output_footprint, reproject_func_kwargs=dict( center_jacobian=center_jacobian, despike_jacobian=despike_jacobian, roundtrip_coords=roundtrip_coords, conserve_flux=conserve_flux, kernel=kernel, kernel_width=kernel_width, sample_region_width=sample_region_width, boundary_mode=boundary_mode, boundary_fill_value=boundary_fill_value, boundary_ignore_threshold=boundary_ignore_threshold, x_cyclic=x_cyclic, y_cyclic=y_cyclic, bad_value_mode=bad_value_mode, bad_fill_value=bad_fill_value, ), return_type=return_type, ) ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1731975823.575638 reproject-0.14.1/reproject/adaptive/tests/0000755000175100001770000000000014716755220020144 5ustar00runnerdocker././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/adaptive/tests/__init__.py0000644000175100001770000000000014716755202022243 0ustar00runnerdocker././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1731975823.575638 reproject-0.14.1/reproject/adaptive/tests/reference/0000755000175100001770000000000014716755220022102 5ustar00runnerdocker././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/adaptive/tests/reference/test_reproject_adaptive_2d.fits0000644000175100001770000017360014716755202030276 0ustar00runnerdockerSIMPLE = T / conforms to FITS standard BITPIX = -64 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 60 NAXIS2 = 60 EXTEND = T WCSAXES = 2 / Number of coordinate axes CRPIX1 = 30.5 / Pixel coordinate of reference point CRPIX2 = 30.5 / Pixel coordinate of reference point CDELT1 = -0.0427 / Coordinate increment at reference point CDELT2 = 0.0427 / Coordinate increment at reference point CRVAL1 = 0.0 / Coordinate value at reference point CRVAL2 = 0.0 / Coordinate value at reference point LATPOLE = 90.0 / [deg] Native latitude of celestial pole MJDREF = 0.0 / [d] MJD of fiducial time END ?Õ‰tÒï?Ǽô)y²?Ǽô)yµ?Ǽô)y²?Õ*€9fÚ?͘è²?Ǽô)yµ?Ǽô)yµ?Ǽô)y¶?Ø[Q}Ò?ǽývÒ*?Ǽô)y²?Ǽô)y¶?Íc¸¿nÓ?ÕnÂ%iB?Ǽô)yµ?Ǽô)y¶?Ǽô)y´?ÔIm4#,Œ?ÏM:E°­?Ǽô)y´?Ǽô)y³?Ǽô)y³?×øêq„F?ÇóÙËP~t?Ǽô)y´?Ǽô)yµ?Ë~/Ýtí?Ö5ÒjL+è?Ǽô)y¶?Ǽô)y·?Ǽô)y´?Ó[ƒ¾T3?Ж¬GcZ£?Ǽô)y´?Ǽô)y´?Ǽô)y´?ײ\œè?ÈyñI¼ÖÎ?Ǽô)y´?Ǽô)y´?Ê.È<ù?ÖÝ.¬¸íò?Ǽô)y´?Ǽô)y³?Ǽô)y³?Òb'îjp?Ñ’‘€Ž?Ǽô)y³?Ǽô)y´?Ǽô)yµ?×Jñ`LûL?ÉLYþo´'?Ǽô)y²?Ǽô)y´?É ÊF“,?×`!œ¹Ùˆ?Ǽô)y´?Ǽô)y±?Ǽô)y´?Ǽô)y³>a2/,E?åöÊR?ÆÓÍh›ÿ6?¬‹çU”² >åóÀý@u?dl^??Î\…¨?[I°jŒ>ÿÊŒ§>`æ>çí ̓?©öTÌVN%?Ç{fš¯“?Ø$Éï„Ì>â”8?cÿ?Ä«*ÁQH?²’={§t>à® ß÷?Þÿ²tŒŽ?Ͷ¿xa?`ÙUóµw>ü‹"Ô»ž¤>îpqÖvy?¢oŽÅXÄä?Éd,*à|l?|C!>©!>¢Ùz?Âc7_Ñ?·-åTR>ÖO¼÷p?(ð/æv‘?Í ˆp¼Í?}èT>ùíZª;q>ò¬ ô‰ ?—û”Ì¿î´6ûg:?¿ý}=<(›?»ÿÓ‹¥a>ÊüþÕèa?4í<¶,ü?Ì šVuZ_?Ž¥N´t:g>õ•R$œ§Ð>ö;BûZöW?‹J9røX?Ì@ Ã˜à¤? 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/ Number of coordinate axes CRPIX1 = 30.5 / Pixel coordinate of reference point CRPIX2 = 30.5 / Pixel coordinate of reference point CDELT1 = -0.0427 / Coordinate increment at reference point CDELT2 = 0.0427 / Coordinate increment at reference point CRVAL1 = 0.0 / Coordinate value at reference point CRVAL2 = 0.0 / Coordinate value at reference point LATPOLE = 90.0 / [deg] Native latitude of celestial pole MJDREF = 0.0 / [d] MJD of fiducial time EXTNAME = 'FOOTPRINT' / extension name END ?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð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xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/adaptive/tests/reference/test_reproject_adaptive_2d_rotated.fits0000644000175100001770000017360014716755202032020 0ustar00runnerdockerSIMPLE = T / conforms to FITS standard BITPIX = -64 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 60 NAXIS2 = 60 EXTEND = T WCSAXES = 2 / Number of coordinate axes CRPIX1 = 30.5 / Pixel coordinate of reference point CRPIX2 = 30.5 / Pixel coordinate of reference point PC1_1 = 0.8 / Coordinate transformation matrix element PC1_2 = 0.2 / Coordinate transformation matrix element PC2_1 = -0.2 / Coordinate transformation matrix element PC2_2 = 0.8 / Coordinate transformation matrix element CDELT1 = -0.0427 / Coordinate increment at reference point CDELT2 = 0.0427 / Coordinate increment at reference point CRVAL1 = 0.0 / Coordinate value at reference point CRVAL2 = 0.0 / Coordinate value at reference point LATPOLE = 90.0 / [deg] Native latitude of celestial pole MJDREF = 0.0 / [d] MJD 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'IMAGE ' / Image extension BITPIX = -64 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 128 NAXIS2 = 128 PCOUNT = 0 / number of parameters GCOUNT = 1 / number of groups WCSAXES = 2 / Number of coordinate axes CRPIX1 = 64.0 / Pixel coordinate of reference point CRPIX2 = 64.0 / Pixel coordinate of reference point PC1_1 = 0.99999994260024 / Coordinate transformation matrix element PC1_2 = -0.00033882076120692 / Coordinate transformation matrix element PC2_1 = 0.00033882076120692 / Coordinate transformation matrix element PC2_2 = 0.99999994260024 / Coordinate transformation matrix element CDELT1 = 0.0066666666666667 / [deg] Coordinate increment at reference point CDELT2 = 0.0066666666666667 / [deg] Coordinate increment at reference point CUNIT1 = 'deg' / Units of coordinate increment and value CUNIT2 = 'deg' / Units of coordinate increment and value CTYPE1 = 'HPLN-TAN' / Coordinate type codegnomonic projection CTYPE2 = 'HPLT-TAN' / Coordinate type codegnomonic projection CRVAL1 = -0.0012589367249586 / [deg] Coordinate value at reference point CRVAL2 = 0.00079599300143911 / [deg] Coordinate value at reference point LONPOLE = 180.0 / [deg] Native longitude of celestial pole LATPOLE = 0.00079599300143911 / [deg] Native latitude of celestial pole MJDREF = 0.0 / [d] MJD of fiducial time DATE-OBS= '2011-02-15 00:00:00.340' / ISO-8601 time of observation MJD-OBS = 55607.000003935 / [d] MJD of observation RSUN_REF= 696000000.0 / [m] Solar radius DSUN_OBS= 108073948993.25 / [m] Distance from centre of Sun to observer HGLN_OBS= 65.813088383571 / [deg] Stonyhurst heliographic lng of observer HGLT_OBS= -2.6593413571937 / [deg] Heliographic latitude of observer EXTNAME = 'FOOTPRINT' / extension name END ?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð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?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/adaptive/tests/test_core.py0000644000175100001770000011020214716755202022501 0ustar00runnerdocker# Licensed under a 3-clause BSD style license - see LICENSE.rst import os from itertools import product import numpy as np import pytest from astropy import units as u from astropy.io import fits from astropy.utils.data import get_pkg_data_filename from astropy.wcs import WCS from astropy.wcs.wcsapi import HighLevelWCSWrapper, SlicedLowLevelWCS from numpy.testing import assert_allclose from ...tests.helpers import array_footprint_to_hdulist from ..high_level import reproject_adaptive def as_high_level_wcs(wcs): return HighLevelWCSWrapper(SlicedLowLevelWCS(wcs, Ellipsis)) @pytest.mark.filterwarnings("ignore::FutureWarning") @pytest.mark.array_compare(single_reference=True) @pytest.mark.parametrize("wcsapi", (False, True)) @pytest.mark.parametrize("center_jacobian", (False, True)) @pytest.mark.parametrize("roundtrip_coords", (False, True)) def test_reproject_adaptive_2d(wcsapi, center_jacobian, roundtrip_coords): # Set up initial array with pattern data_in = np.zeros((256, 256)) data_in[::20, :] = 1 data_in[:, ::20] = 1 data_in[10::20, 10::20] = 1 # Define a simple input WCS wcs_in = WCS(naxis=2) wcs_in.wcs.crpix = 128.5, 128.5 wcs_in.wcs.cdelt = -0.01, 0.01 # Define a lower resolution output WCS wcs_out = WCS(naxis=2) wcs_out.wcs.crpix = 30.5, 30.5 wcs_out.wcs.cdelt = -0.0427, 0.0427 header_out = wcs_out.to_header() if wcsapi: # Enforce a pure wcsapi API wcs_in = as_high_level_wcs(wcs_in) wcs_out = as_high_level_wcs(wcs_out) array_out, footprint_out = reproject_adaptive( (data_in, wcs_in), wcs_out, shape_out=(60, 60), center_jacobian=center_jacobian, roundtrip_coords=roundtrip_coords, kernel="hann", boundary_mode="ignore", ) # Check that surface brightness is conserved in the unrotated case assert_allclose(np.nansum(data_in), np.nansum(array_out) * (256 / 60) ** 2, rtol=0.1) return array_footprint_to_hdulist(array_out, footprint_out, header_out) @pytest.mark.parametrize("axis", ("x", "y")) @pytest.mark.parametrize("center_jacobian", (True, False)) def test_reproject_adaptive_despike_jacobian(axis, center_jacobian): if axis == "x": wcs_in = WCS(naxis=2) wcs_in.wcs.ctype = "RA---CAR", "DEC--CAR" wcs_in.wcs.crpix = 18.5, 9.5 wcs_in.wcs.crval = 180, 0 wcs_in.wcs.cdelt = 10, 10 data_in = np.arange(18 * 36).reshape((18, 36)) wcs_out = WCS(naxis=2) wcs_out.wcs.ctype = "RA---CAR", "DEC--CAR" wcs_out.wcs.crpix = 20, 20 wcs_out.wcs.crval = 10, 0 wcs_out.wcs.cdelt = 5, 1 else: wcs_in = WCS(naxis=2) wcs_in.wcs.ctype = "DEC--CAR", "RA---CAR" wcs_in.wcs.crpix = 9.5, 18.5 wcs_in.wcs.crval = 0, 180 wcs_in.wcs.cdelt = 10, 10 data_in = np.arange(18 * 36).reshape((36, 18)) wcs_out = WCS(naxis=2) wcs_out.wcs.ctype = "DEC--CAR", "RA---CAR" wcs_out.wcs.crpix = 20, 20 wcs_out.wcs.crval = 0, 10 wcs_out.wcs.cdelt = 1, 5 output = reproject_adaptive( (data_in, wcs_in), wcs_out, (40, 40), roundtrip_coords=False, return_footprint=False, despike_jacobian=False, center_jacobian=center_jacobian, x_cyclic=(axis == "x"), y_cyclic=(axis == "y"), ) output_despiked = reproject_adaptive( (data_in, wcs_in), wcs_out, (40, 40), roundtrip_coords=False, return_footprint=False, despike_jacobian=True, center_jacobian=center_jacobian, x_cyclic=(axis == "x"), y_cyclic=(axis == "y"), ) finite = np.isfinite(output) # There should be a strip of nans in the un-despiked output assert np.sum(finite) < output.size # The outputs should match where spiking wasn't a concern np.testing.assert_equal(output[finite], output_despiked[finite]) # The despiked output should have no nans assert np.all(np.isfinite(output_despiked)) @pytest.mark.filterwarnings("ignore::FutureWarning") @pytest.mark.array_compare(single_reference=True) @pytest.mark.parametrize("center_jacobian", (False, True)) @pytest.mark.parametrize("roundtrip_coords", (False, True)) def test_reproject_adaptive_2d_rotated(center_jacobian, roundtrip_coords): # Set up initial array with pattern data_in = np.zeros((256, 256)) data_in[::20, :] = 1 data_in[:, ::20] = 1 data_in[10::20, 10::20] = 1 # Define a simple input WCS wcs_in = WCS(naxis=2) wcs_in.wcs.crpix = 128.5, 128.5 wcs_in.wcs.cdelt = -0.01, 0.01 # Define a lower resolution output WCS with rotation wcs_out = WCS(naxis=2) wcs_out.wcs.crpix = 30.5, 30.5 wcs_out.wcs.cdelt = -0.0427, 0.0427 wcs_out.wcs.pc = [[0.8, 0.2], [-0.2, 0.8]] header_out = wcs_out.to_header() array_out, footprint_out = reproject_adaptive( (data_in, wcs_in), wcs_out, shape_out=(60, 60), center_jacobian=center_jacobian, roundtrip_coords=roundtrip_coords, kernel="hann", boundary_mode="ignore", ) return array_footprint_to_hdulist(array_out, footprint_out, header_out) @pytest.mark.filterwarnings("ignore::FutureWarning") @pytest.mark.parametrize("roundtrip_coords", (False, True)) @pytest.mark.parametrize("center_jacobian", (False, True)) @pytest.mark.parametrize("kernel", ("hann", "gaussian")) def test_reproject_adaptive_high_aliasing_potential_rotation( roundtrip_coords, center_jacobian, kernel ): # Generate sample data with vertical stripes alternating with every column data_in = np.arange(40 * 40).reshape((40, 40)) data_in = (data_in) % 2 # Set up the input image coordinates, defining pixel coordinates as world # coordinates (with an offset) wcs_in = WCS(naxis=2) wcs_in.wcs.crpix = 21, 21 wcs_in.wcs.crval = 0, 0 wcs_in.wcs.cdelt = 1, 1 # Set up the output image coordinates wcs_out = WCS(naxis=2) wcs_out.wcs.crpix = 3, 5 wcs_out.wcs.crval = 0, 0 wcs_out.wcs.cdelt = 2, 1 array_out = reproject_adaptive( (data_in, wcs_in), wcs_out, shape_out=(11, 6), return_footprint=False, roundtrip_coords=roundtrip_coords, center_jacobian=center_jacobian, kernel=kernel, ) # The CDELT1 value in wcs_out produces a down-sampling by a factor of two # along the output x axis. With the input image containing vertical lines # with values of zero or one, we should have uniform values of 0.5 # throughout our output array. np.testing.assert_allclose(array_out, 0.5, rtol=0.002) # Within the transforms, the order of operations is: # input pixel coordinates -> input rotation -> input scaling # -> world coords -> output scaling -> output rotation # -> output pixel coordinates. So if we add a 90-degree rotation to the # output image, we're declaring that image-x is world-y and vice-versa, but # since we're rotating the already-downsampled image, no pixel values # should change angle = 90 * np.pi / 180 wcs_out.wcs.pc = [[np.cos(angle), -np.sin(angle)], [np.sin(angle), np.cos(angle)]] array_out = reproject_adaptive( (data_in, wcs_in), wcs_out, shape_out=(11, 6), return_footprint=False, roundtrip_coords=roundtrip_coords, center_jacobian=center_jacobian, kernel=kernel, ) np.testing.assert_allclose(array_out, 0.5, rtol=0.002) # But if we add a 90-degree rotation to the input coordinates, then when # our stretched output pixels are projected onto the input data, they will # be stretched along the stripes, rather than perpendicular to them, and so # we'll still see the alternating stripes in our output data---whether or # not wcs_out contains a rotation. # For these last two cases, we only use a Hann kernel, since the blurring # inherent with the Gaussian kernel makes the comparison more difficult. angle = 90 * np.pi / 180 wcs_in.wcs.pc = [[np.cos(angle), -np.sin(angle)], [np.sin(angle), np.cos(angle)]] array_out = reproject_adaptive( (data_in, wcs_in), wcs_out, shape_out=(11, 6), return_footprint=False, roundtrip_coords=roundtrip_coords, center_jacobian=center_jacobian, kernel="hann", ) # Generate the expected pattern of alternating stripes data_ref = np.arange(array_out.shape[1]) % 2 data_ref = np.vstack([data_ref] * array_out.shape[0]) np.testing.assert_allclose(array_out, data_ref) # Clear the rotation in the output coordinates wcs_out.wcs.pc = [[1, 0], [0, 1]] array_out = reproject_adaptive( (data_in, wcs_in), wcs_out, shape_out=(11, 6), return_footprint=False, roundtrip_coords=roundtrip_coords, center_jacobian=center_jacobian, kernel="hann", ) data_ref = np.arange(array_out.shape[0]) % 2 data_ref = np.vstack([data_ref] * array_out.shape[1]).T np.testing.assert_allclose(array_out, data_ref) @pytest.mark.filterwarnings("ignore::FutureWarning") @pytest.mark.parametrize("roundtrip_coords", (False, True)) @pytest.mark.parametrize("center_jacobian", (False, True)) def test_reproject_adaptive_high_aliasing_potential_shearing(roundtrip_coords, center_jacobian): # Generate sample data with vertical stripes alternating with every column data_in = np.arange(40 * 40).reshape((40, 40)) data_in = (data_in) % 2 # Set up the input image coordinates, defining pixel coordinates as world # coordinates (with an offset) wcs_in = WCS(naxis=2) wcs_in.wcs.crpix = 21, 21 wcs_in.wcs.crval = 0, 0 wcs_in.wcs.cdelt = 1, 1 for shear_x in (-1, 0, 1): for shear_y in (-1, 0, 1): if shear_x == shear_y == 0: continue # Set up the output image coordinates, with shearing in both x # and y wcs_out = WCS(naxis=2) wcs_out.wcs.crpix = 3, 5 wcs_out.wcs.crval = 0, 0 wcs_out.wcs.cdelt = 1, 1 wcs_out.wcs.pc = np.array([[1, shear_x], [0, 1]]) @ np.array([[1, 0], [shear_y, 1]]) # n.b. The Gaussian kernel is much better-behaved in this # particular scenario, so using it allows a much smaller tolerance # in the comparison. Likewise, the kernel width is boosted to 1.5 # to achieve stronger anti-aliasing for this test. array_out = reproject_adaptive( (data_in, wcs_in), wcs_out, shape_out=(11, 6), return_footprint=False, roundtrip_coords=False, center_jacobian=center_jacobian, kernel="gaussian", kernel_width=1.5, ) # We should get values close to 0.5 (an average of the 1s and 0s # in the input image). This is as opposed to values near 0 or 1, # which would indicate incorrect averaging of sampled points. np.testing.assert_allclose(array_out, 0.5, atol=0.02, rtol=0) @pytest.mark.filterwarnings("ignore::FutureWarning") def test_reproject_adaptive_flux_conservation(): # This is more than just testing the `conserve_flux` flag---the expectation # that flux should be conserved gives a very easy way to quantify how # correct an image is. We use that to run through a grid of affine # transformations, checking that the output is correct for each one. # Generate input data of a single point---this is the most unforgiving # setup, as there's no change for multiple pixels to average out if their # reprojected flux goes slightly above or below being conserved. data_in = np.zeros((20, 20)) data_in[12, 13] = 1 # Set up the input image coordinates, defining pixel coordinates as world # coordinates (with an offset) wcs_in = WCS(naxis=2) wcs_in.wcs.crpix = 11, 11 wcs_in.wcs.crval = 0, 0 wcs_in.wcs.cdelt = 1, 1 wcs_out = WCS(naxis=2) wcs_out.wcs.crpix = 16, 16 wcs_out.wcs.crval = 0, 0 # Define our grid of affine transformations. Even with only a few values # for each parameter, this is by far the longest-running test in this file, # so it's tough to justify a finer grid. rotations = [0, 45, 80, 90] scales_x = np.logspace(-0.2, 0.2, 3) scales_y = np.logspace(-0.3, 0.3, 3) translations_x = np.linspace(0, 8, 3) translations_y = np.linspace(0, 0.42, 3) shears_x = np.linspace(-0.7, 0.7, 3) shears_y = np.linspace(-0.2, 0.2, 3) for rot, scale_x, scale_y, _, _, shear_x, shear_y in product( rotations, scales_x, scales_y, translations_x, translations_y, shears_x, shears_y ): wcs_out.wcs.cdelt = scale_x, scale_y angle = rot * np.pi / 180 rot_matrix = np.array([[np.cos(angle), -np.sin(angle)], [np.sin(angle), np.cos(angle)]]) shear_x_matrix = np.array([[1, shear_x], [0, 1]]) shear_y_matrix = np.array([[1, 0], [shear_y, 1]]) wcs_out.wcs.pc = rot_matrix @ shear_x_matrix @ shear_y_matrix # The Gaussian kernel does a better job at flux conservation, so # choosing it here allows a tighter tolerance. Increasing the sample # region width also allows a tighter tolerance---less room for bugs to # hide! Setting the boundary mode to 'ignore' avoids excessive clipping # of the edges of our small output image, letting us use a smaller # image and do more tests in the same time. array_out = reproject_adaptive( (data_in, wcs_in), wcs_out, shape_out=(30, 30), return_footprint=False, roundtrip_coords=False, center_jacobian=False, kernel="gaussian", sample_region_width=5, conserve_flux=True, boundary_mode="ignore", ) # The degree of flux-conservation we end up seeing isn't necessarily # something that we can constrain a priori, so here we test for # conservation to within 0.4% because that's as good as it's getting # right now. This test is more about ensuring future bugs don't # accidentally worsen flux conservation than ensuring that some # required threshold is met. np.testing.assert_allclose(np.nansum(array_out), 1, rtol=0.004) @pytest.mark.parametrize("x_cyclic", (False, True)) @pytest.mark.parametrize("y_cyclic", (False, True)) @pytest.mark.parametrize("rotated", (False, True)) def test_boundary_modes(x_cyclic, y_cyclic, rotated): # Vertical-stripe test data data_in = np.arange(30) % 2 data_in = np.vstack([data_in] * 30) wcs_in = WCS(naxis=2) wcs_in.wcs.crpix = [15.5, 15.5] wcs_in.wcs.crval = [0, 0] wcs_in.wcs.cdelt = [1, 1] # We'll center the input image in the larger output canvas, but otherwise # we'll do nothing. Except in the rotated case, where we'll rotate the # input array by transposing it and counter-rotate the output WCS, so that # the output should be the same. wcs_out = wcs_in.deepcopy() wcs_out.wcs.crpix = [20.5, 20.5] if rotated: data_in = data_in.T angle = 90 * np.pi / 180 wcs_out.wcs.pc = [[np.cos(angle), -np.sin(angle)], [np.sin(angle), np.cos(angle)]] y_appears_cyclic = x_cyclic x_appears_cyclic = y_cyclic else: x_appears_cyclic = x_cyclic y_appears_cyclic = y_cyclic # We'll step through each boundary mode and check its output. # For all boundary modes, the outermost rows and columns should show the # repeating, anti-aliased stripe pattern if the corresponding axis is # cyclic. This is tested by comparing every other column to an expected # value pulled from an appropriate pixel in the interior of the output # image. # The sample region width is set to 4.00001 so that the sample region # boundary doesn't fall exactly on input pixel centers. Otherwise, # floating-point error can cause pixel-to-pixel variation in whether an # input sample is just-barely-included or just-barely-excluded, especially # in the rotated case. data_out = reproject_adaptive( (data_in, wcs_in), wcs_out, shape_out=(40, 40), return_footprint=False, kernel="gaussian", sample_region_width=4.00001, boundary_mode="strict", x_cyclic=x_cyclic, y_cyclic=y_cyclic, ) # We've placed a 30x30 input image at the center of a 40x40 output image. # With strict boundaries, we should get NaNs for the 5 rows and columns on # each side of the output image, being outside the bounds of the input # image. The NaNs should also span an additional two rows/columns due # to the width of the Gaussian kernel. if y_appears_cyclic: np.testing.assert_allclose(data_out[:, 7:-7:2], data_out[15, 11]) np.testing.assert_allclose(data_out[:, 8:-7:2], data_out[15, 10]) else: assert np.all(np.isnan(data_out[:7])) assert np.all(np.isnan(data_out[-7:])) if x_appears_cyclic: np.testing.assert_allclose(data_out[7:-7, ::2], data_out[15, 10]) np.testing.assert_allclose(data_out[7:-7, 1::2], data_out[15, 11]) else: assert np.all(np.isnan(data_out[:, :7])) assert np.all(np.isnan(data_out[:, -7:])) assert not np.any(np.isnan(data_out[7:-7, 7:-7])) # The 'ignore_threshold' mode should match the 'strict' mode when the # threshold is set to 0. data_out_ignore_threshold = reproject_adaptive( (data_in, wcs_in), wcs_out, shape_out=(40, 40), return_footprint=False, kernel="gaussian", sample_region_width=4.00001, boundary_mode="ignore_threshold", boundary_ignore_threshold=0, x_cyclic=x_cyclic, y_cyclic=y_cyclic, ) np.testing.assert_array_equal(data_out, data_out_ignore_threshold) data_out = reproject_adaptive( (data_in, wcs_in), wcs_out, shape_out=(40, 40), return_footprint=False, kernel="gaussian", sample_region_width=4.00001, boundary_mode="constant", boundary_fill_value=1000, x_cyclic=x_cyclic, y_cyclic=y_cyclic, ) # With constant filling, we should get NaNs for the # outermost 3 rows/columns. The next four rows/columns should have very # large values due to the kernel width and our fill value. The remaining # values should be within the [0, 1] range of the input data. if y_appears_cyclic: np.testing.assert_allclose(data_out[:, 7:-7:2], data_out[15, 11]) np.testing.assert_allclose(data_out[:, 8:-7:2], data_out[15, 10]) else: assert np.all(np.isnan(data_out[:3])) np.testing.assert_array_less(1, data_out[3:7, 3:-3]) assert np.all(np.isnan(data_out[-3:])) np.testing.assert_array_less(1, data_out[-7:-3, 3:-3]) if x_appears_cyclic: np.testing.assert_allclose(data_out[7:-7, ::2], data_out[15, 10]) np.testing.assert_allclose(data_out[7:-7, 1::2], data_out[15, 11]) else: assert np.all(np.isnan(data_out[:, :3])) np.testing.assert_array_less(1, data_out[3:-3, 3:7]) assert np.all(np.isnan(data_out[:, -3:])) np.testing.assert_array_less(1, data_out[3:-3, -7:-3]) assert np.all(data_out[7:-7, 7:-7] <= 1) data_out = reproject_adaptive( (data_in, wcs_in), wcs_out, shape_out=(40, 40), return_footprint=False, kernel="gaussian", sample_region_width=4.00001, boundary_mode="grid-constant", boundary_fill_value=1000, x_cyclic=x_cyclic, y_cyclic=y_cyclic, ) # With grid-constant filling, we should get our fill value for the # outermost 3 rows/columns. The next four rows/columns should have very # large values due to the kernel width and our fill value. The remaining # values should be within the [0, 1] range of the input data. There should # be no NaNs. if y_appears_cyclic: np.testing.assert_allclose(data_out[:, 7:-7:2], data_out[15, 11]) np.testing.assert_allclose(data_out[:, 8:-7:2], data_out[15, 10]) else: np.testing.assert_equal(data_out[:3], 1000) np.testing.assert_array_less(1, data_out[3:7]) np.testing.assert_equal(data_out[-3:], 1000) np.testing.assert_array_less(1, data_out[-7:-3]) if x_appears_cyclic: np.testing.assert_allclose(data_out[7:-7, ::2], data_out[15, 10]) np.testing.assert_allclose(data_out[7:-7, 1::2], data_out[15, 11]) else: np.testing.assert_equal(data_out[:, :3], 1000) np.testing.assert_array_less(1, data_out[:, 3:7]) np.testing.assert_equal(data_out[:, -3:], 1000) np.testing.assert_array_less(1, data_out[:, -7:-3]) assert np.all(data_out[7:-7, 7:-7] <= 1) assert not np.any(np.isnan(data_out)) data_out = reproject_adaptive( (data_in, wcs_in), wcs_out, shape_out=(40, 40), return_footprint=False, kernel="gaussian", sample_region_width=4.00001, boundary_mode="ignore", x_cyclic=x_cyclic, y_cyclic=y_cyclic, ) # With missing samples ignored, we should get NaNs for three pixels on all # edges, and no NaNs elsewhere. The next four rows on top and bottom, where # the sampling region spans the boundary, should match the interior of the # image to within floating-point error, due to the vertical symmetry of the # image. Along the sides, there should be three columns of near-zero on the # left and near-one on the right, as those rows only or primarily sample # the edge column. if y_appears_cyclic: np.testing.assert_allclose(data_out[:, 7:-7:2], data_out[15, 11]) np.testing.assert_allclose(data_out[:, 8:-7:2], data_out[15, 10]) else: assert np.all(np.isnan(data_out[:3])) assert np.all(np.isnan(data_out[-3:])) np.testing.assert_allclose(data_out[3:7, 3:-3], data_out[7:11, 3:-3]) np.testing.assert_allclose(data_out[-7:-3, 3:-3], data_out[7:11, 3:-3]) if x_appears_cyclic: np.testing.assert_allclose(data_out[7:-7, ::2], data_out[15, 10]) np.testing.assert_allclose(data_out[7:-7, 1::2], data_out[15, 11]) else: assert np.all(np.isnan(data_out[:, :3])) assert np.all(np.isnan(data_out[:, -3:])) np.testing.assert_array_less(data_out[3:-3, 3:6], 0.5) np.testing.assert_array_less(0.5, data_out[3:-3, -6:-3]) assert not np.any(np.isnan(data_out[3:-3, 3:-3])) # The 'ignore_threshold' mode should match the 'ignore' mode when the # threshold is set to 1. data_out_ignore_threshold = reproject_adaptive( (data_in, wcs_in), wcs_out, shape_out=(40, 40), return_footprint=False, kernel="gaussian", sample_region_width=4.00001, boundary_mode="ignore_threshold", boundary_ignore_threshold=1, x_cyclic=x_cyclic, y_cyclic=y_cyclic, ) np.testing.assert_array_equal(data_out, data_out_ignore_threshold) data_out = reproject_adaptive( (data_in, wcs_in), wcs_out, shape_out=(40, 40), return_footprint=False, kernel="gaussian", sample_region_width=4.00001, boundary_mode="ignore_threshold", boundary_ignore_threshold=0.5, x_cyclic=x_cyclic, y_cyclic=y_cyclic, ) # With the threshold set to 0.5, 'ignore_threshold' should look like the # 'ignore' output, except that the band of NaNs along the outside is 5 # pixels thick instead of 3---an extra 2 rows and columns are set to NaN # because those output pixels sample mostly non-existent input pixels. if y_appears_cyclic: np.testing.assert_allclose(data_out[:, 7:-7:2], data_out[15, 11]) np.testing.assert_allclose(data_out[:, 8:-7:2], data_out[15, 10]) else: assert np.all(np.isnan(data_out[:5])) assert np.all(np.isnan(data_out[-5:])) np.testing.assert_allclose(data_out[5:7, 5:-5], data_out[7:9, 5:-5]) np.testing.assert_allclose(data_out[-7:-5, 5:-5], data_out[7:9, 5:-5]) if x_appears_cyclic: np.testing.assert_allclose(data_out[7:-7, ::2], data_out[15, 10]) np.testing.assert_allclose(data_out[7:-7, 1::2], data_out[15, 11]) else: assert np.all(np.isnan(data_out[:, :5])) assert np.all(np.isnan(data_out[:, -5:])) np.testing.assert_array_less(data_out[5:-5, 5:6], 0.5) np.testing.assert_array_less(0.5, data_out[5:-5, -6:-5]) assert not np.any(np.isnan(data_out[5:-5, 5:-5])) data_out = reproject_adaptive( (data_in, wcs_in), wcs_out, shape_out=(40, 40), return_footprint=False, kernel="gaussian", sample_region_width=4.00001, boundary_mode="nearest", x_cyclic=x_cyclic, y_cyclic=y_cyclic, ) # With out-of-bounds samples replaced with the nearest valid sample, the # top and bottom rows should be the same as the central rows. There should # be three columns of 0 on the left and 1 on the right, and the next three # columns should be small or large, respectively, since they're sampling # lots of repeated 0s or 1s. There should be no NaNs. if y_appears_cyclic: np.testing.assert_allclose(data_out[:, 7:-7:2], data_out[15, 11]) np.testing.assert_allclose(data_out[:, 8:-7:2], data_out[15, 10]) else: np.testing.assert_allclose(data_out[:7], data_out[7:14]) np.testing.assert_allclose(data_out[-7:], data_out[7:14]) if x_appears_cyclic: np.testing.assert_allclose(data_out[7:-7, ::2], data_out[15, 10]) np.testing.assert_allclose(data_out[7:-7, 1::2], data_out[15, 11]) else: np.testing.assert_allclose(data_out[:, :3], 0) np.testing.assert_allclose(data_out[:, -3:], 1) np.testing.assert_array_less(data_out[:, 3:6], 0.5) np.testing.assert_array_less(0.5, data_out[:, -6:-3]) assert not np.any(np.isnan(data_out)) @pytest.mark.parametrize("bad_val", (np.nan, np.inf)) def test_bad_value_modes(bad_val): bad_val_checker = np.isnan if np.isnan(bad_val) else np.isinf data_in = np.ones((30, 30)) data_in[15, 15] = bad_val wcs_in = WCS(naxis=2) wcs_in.wcs.crpix = [15.5, 15.5] wcs_in.wcs.crval = [0, 0] wcs_in.wcs.cdelt = [1, 1] # Our reprojection will be a no-op, so it's easy to reason about what # should happen wcs_out = wcs_in.deepcopy() data_out = reproject_adaptive( (data_in, wcs_in), wcs_out, shape_out=(30, 30), return_footprint=False, boundary_mode="ignore", sample_region_width=3, bad_value_mode="strict", ) # With a sample_region_width of 3, we expect a 3x3 box of nans centered on # the input-image nan. assert np.all(bad_val_checker(data_out[14:17, 14:17])) # And they should be the only nans assert np.sum(bad_val_checker(data_out)) == 9 data_out = reproject_adaptive( (data_in, wcs_in), wcs_out, shape_out=(30, 30), return_footprint=False, boundary_mode="ignore", sample_region_width=3, bad_value_mode="constant", bad_fill_value=10, ) # Now, where there were nans, we should get values > 1, since 10 is our # fill value. assert np.all(data_out[14:17, 14:17] > 1) data_out[14:17, 14:17] = 1 np.testing.assert_equal(data_out, 1) data_out = reproject_adaptive( (data_in, wcs_in), wcs_out, shape_out=(30, 30), return_footprint=False, boundary_mode="ignore", sample_region_width=3, bad_value_mode="ignore", ) # Now the nan should be ignored and we should only get 1s coming out np.testing.assert_equal(data_out, 1) def test_invald_bad_value_mode(): data_in = np.ones((30, 30)) wcs_in = WCS(naxis=2) wcs_in.wcs.crpix = [15.5, 15.5] wcs_in.wcs.crval = [0, 0] wcs_in.wcs.cdelt = [1, 1] wcs_out = wcs_in.deepcopy() with pytest.raises(ValueError, match="bad_value_mode 'invalid_mode' not recognized"): reproject_adaptive( (data_in, wcs_in), wcs_out, shape_out=(30, 30), return_footprint=False, boundary_mode="ignore", sample_region_width=3, bad_value_mode="invalid_mode", ) @pytest.mark.filterwarnings("ignore::FutureWarning") @pytest.mark.array_compare(single_reference=True) def test_reproject_adaptive_roundtrip(aia_test_data): # Test the reprojection with solar data, which ensures that the masking of # pixels based on round-tripping works correctly. Using asdf is not just # about testing a different format but making sure that GWCS works. data, wcs, target_wcs = aia_test_data output, footprint = reproject_adaptive( (data, wcs), target_wcs, (128, 128), center_jacobian=True, kernel="hann" ) header_out = target_wcs.to_header() header_out["DATE-OBS"] = header_out["DATE-OBS"].replace("T", " ") # With sunpy 6.0.0 and later, additional keyword arguments are written out # so we remove these as they are not important for the comparison with the # reference files. header_out.pop("DATE-AVG", None) header_out.pop("MJD-AVG", None) return array_footprint_to_hdulist(output, footprint, header_out) @pytest.mark.filterwarnings("ignore::FutureWarning") @pytest.mark.array_compare(single_reference=True) def test_reproject_adaptive_uncentered_jacobian(aia_test_data): # Explicitly test the uncentered-Jacobian path for a non-affine transform. # For this case, output pixels change by 6% at most, and usually much less. # (Though more nan pixels are present, as the uncentered calculation draws # in values from a bit further away.) data, wcs, target_wcs = aia_test_data output, footprint = reproject_adaptive( (data, wcs), target_wcs, (128, 128), center_jacobian=False, kernel="hann" ) header_out = target_wcs.to_header() header_out["DATE-OBS"] = header_out["DATE-OBS"].replace("T", " ") # With sunpy 6.0.0 and later, additional keyword arguments are written out # so we remove these as they are not important for the comparison with the # reference files. header_out.pop("DATE-AVG", None) header_out.pop("MJD-AVG", None) return array_footprint_to_hdulist(output, footprint, header_out) def _setup_for_broadcast_test( conserve_flux=False, boundary_mode="strict", kernel="gaussian", center_jacobian=False, bad_value_mode="strict", ): with fits.open(get_pkg_data_filename("data/galactic_2d.fits", package="reproject.tests")) as pf: hdu_in = pf[0] header_in = hdu_in.header.copy() header_out = hdu_in.header.copy() header_out["CTYPE1"] = "RA---TAN" header_out["CTYPE2"] = "DEC--TAN" header_out["CRVAL1"] = 266.39311 header_out["CRVAL2"] = -28.939779 data = hdu_in.data image_stack = np.stack((data, data.T, data[::-1], data[:, ::-1])) # Ensure we exercise the bad-value handling modes image_stack[1, 30, 30] = np.nan image_stack[2, 20, 40] = np.inf # Build the reference array through un-broadcast reprojections array_ref = np.empty_like(image_stack) footprint_ref = np.empty_like(image_stack) for i in range(len(image_stack)): array_out, footprint_out = reproject_adaptive( (image_stack[i], header_in), header_out, conserve_flux=conserve_flux, boundary_mode=boundary_mode, kernel=kernel, center_jacobian=center_jacobian, bad_value_mode=bad_value_mode, ) array_ref[i] = array_out footprint_ref[i] = footprint_out return image_stack, array_ref, footprint_ref, header_in, header_out @pytest.mark.parametrize("input_extra_dims", (1, 2)) @pytest.mark.parametrize("output_shape", (None, "single", "full")) @pytest.mark.parametrize("input_as_wcs", (True, False)) @pytest.mark.parametrize("output_as_wcs", (True, False)) def test_broadcast_reprojection(input_extra_dims, output_shape, input_as_wcs, output_as_wcs): image_stack, array_ref, footprint_ref, header_in, header_out = _setup_for_broadcast_test() # Test both single and multiple dimensions being broadcast if input_extra_dims == 2: image_stack = image_stack.reshape((2, 2, *image_stack.shape[-2:])) array_ref.shape = image_stack.shape footprint_ref.shape = image_stack.shape # Test different ways of providing the output shape if output_shape == "single": # Have the broadcast dimensions be auto-added to the output shape output_shape = image_stack.shape[-2:] elif output_shape == "full": # Provide the broadcast dimensions as part of the output shape output_shape = image_stack.shape # Ensure logic works with WCS inputs as well as Header inputs if input_as_wcs: header_in = WCS(header_in) if output_as_wcs: header_out = WCS(header_out) if output_shape is None: # This combination of parameter values is not valid return array_broadcast, footprint_broadcast = reproject_adaptive( (image_stack, header_in), header_out, output_shape, conserve_flux=False, boundary_mode="strict", ) np.testing.assert_array_equal(footprint_broadcast, footprint_ref) np.testing.assert_allclose(array_broadcast, array_ref) def _test_broadcast_reprojection_algo_specific_options( conserve_flux=False, boundary_mode="strict", kernel="gaussian", center_jacobian=False, bad_value_mode="strict", ): image_stack, array_ref, footprint_ref, header_in, header_out = _setup_for_broadcast_test( conserve_flux=conserve_flux, boundary_mode=boundary_mode, kernel=kernel, center_jacobian=center_jacobian, bad_value_mode=bad_value_mode, ) array_broadcast, footprint_broadcast = reproject_adaptive( (image_stack, header_in), header_out, image_stack.shape, conserve_flux=conserve_flux, boundary_mode=boundary_mode, kernel=kernel, center_jacobian=center_jacobian, bad_value_mode=bad_value_mode, ) np.testing.assert_array_equal(footprint_broadcast, footprint_ref) np.testing.assert_allclose(array_broadcast, array_ref) @pytest.mark.parametrize("kernel", ("gaussian", "hann")) def test_broadcast_reprojection_kernel(kernel): _test_broadcast_reprojection_algo_specific_options(kernel=kernel) @pytest.mark.parametrize( "boundary_mode", ("strict", "constant", "grid-constant", "ignore", "ignore_threshold", "nearest"), ) def test_broadcast_reprojection_boundary_mode(boundary_mode): _test_broadcast_reprojection_algo_specific_options(boundary_mode=boundary_mode) @pytest.mark.parametrize("conserve_flux", (True, False)) def test_broadcast_reprojection_conserve_flux(conserve_flux): _test_broadcast_reprojection_algo_specific_options(conserve_flux=conserve_flux) @pytest.mark.parametrize("center_jacobian", (True, False)) def test_broadcast_reprojection_center_jacobian(center_jacobian): _test_broadcast_reprojection_algo_specific_options(center_jacobian=center_jacobian) @pytest.mark.parametrize("bad_value_mode", ("strict", "ignore", "constant")) def test_broadcast_reprojection_bad_value_mode(bad_value_mode): _test_broadcast_reprojection_algo_specific_options(bad_value_mode=bad_value_mode) def test_adaptive_input_output_types( valid_celestial_input_data, valid_celestial_output_projections ): # Check that all valid input/output types work properly array_ref, wcs_in_ref, input_value, kwargs_in = valid_celestial_input_data wcs_out_ref, shape_ref, output_value, kwargs_out = valid_celestial_output_projections # Compute reference output_ref, footprint_ref = reproject_adaptive( (array_ref, wcs_in_ref), wcs_out_ref, shape_out=shape_ref ) # Compute test output_test, footprint_test = reproject_adaptive( input_value, output_value, **kwargs_in, **kwargs_out ) assert_allclose(output_ref, output_test) assert_allclose(footprint_ref, footprint_test) def test_readonly_array(): wcs1 = WCS(naxis=2) wcs2 = WCS(naxis=2) wcs2.wcs.crpix = [2, 2] array = np.random.random((128, 128)) array.flags.writeable = False # This should work reproject_adaptive((array, wcs1), wcs2, shape_out=(128, 128)) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/array_utils.py0000644000175100001770000001731214716755202020121 0ustar00runnerdockerimport numpy as np __all__ = ["map_coordinates", "sample_array_edges"] def find_chunk_shape(shape, max_chunk_size=None): """ Given the shape of an n-dimensional array, and the maximum number of elements in a chunk, return the largest chunk shape to use for iteration. This currently assumes the optimal chunk shape to return is for C-contiguous arrays. Parameters ---------- shape : iterable The shape of the n-dimensional array. max_chunk_size : int, optional The maximum number of elements per chunk. """ if max_chunk_size is None: return tuple(shape) block_shape = [] max_repeat_remaining = max_chunk_size for size in shape[::-1]: if max_repeat_remaining > size: block_shape.append(size) max_repeat_remaining = max_repeat_remaining // size else: block_shape.append(max_repeat_remaining) max_repeat_remaining = 1 return tuple(block_shape[::-1]) def iterate_chunks(shape, *, max_chunk_size): """ Given a data shape and a chunk shape (or maximum chunk size), iteratively return slice objects that can be used to slice the array. Parameters ---------- shape : iterable The shape of the n-dimensional array. max_chunk_size : int The maximum number of elements per chunk. """ if np.prod(shape) == 0: return chunk_shape = find_chunk_shape(shape, max_chunk_size) ndim = len(chunk_shape) start_index = [0] * ndim shape = list(shape) while start_index <= shape: end_index = [min(start_index[i] + chunk_shape[i], shape[i]) for i in range(ndim)] slices = tuple([slice(start_index[i], end_index[i]) for i in range(ndim)]) yield slices # Update chunk index. What we do is to increment the # counter for the first dimension, and then if it # exceeds the number of elements in that direction, # cycle back to zero and advance in the next dimension, # and so on. start_index[0] += chunk_shape[0] for i in range(ndim - 1): if start_index[i] >= shape[i]: start_index[i] = 0 start_index[i + 1] += chunk_shape[i + 1] # We can now check whether the iteration is finished if start_index[-1] >= shape[-1]: break def at_least_float32(array): if array.dtype.kind == "f" and array.dtype.itemsize >= 4: return array else: return array.astype(np.float32) def memory_efficient_access(array, chunk): # If we access a number of chunks from a memory-mapped array, memory usage # will increase and could crash e.g. dask.distributed workers. We therefore # use a temporary memmap to load the data. if isinstance(array, np.memmap) and array.flags.c_contiguous: array_tmp = np.memmap( array.filename, mode="r", dtype=array.dtype, shape=array.shape, offset=array.offset, ) return array_tmp[chunk] else: return array[chunk] def map_coordinates( image, coords, max_chunk_size=None, output=None, optimize_memory=False, **kwargs ): # In the built-in scipy map_coordinates, the values are defined at the # center of the pixels. This means that map_coordinates does not # correctly treat pixels that are in the outer half of the outer pixels. # We solve this by resetting any coordinates that are in the outer half of # the border pixels to be at the center of the border pixels. We used to # instead pad the array but this was not memory efficient as it ended up # producing a copy of the output array. # In addition, map_coordinates is not efficient when given big-endian Numpy # arrays as it will then make a copy, which is an issue when dealing with # memory-mapped FITS files that might be larger than memory. Therefore, for # big-endian arrays, we operate in chunks with a size smaller or equal to # max_chunk_size. # The optimize_memory option isn't used right not by the rest of reproject # but it is a mode where if we are in a memory-constrained environment, we # re-create memmaps for individual chunks to avoid caching the whole array. # We need to decide how to expose this to users. # TODO: check how this should behave on a big-endian system. from scipy.ndimage import map_coordinates as scipy_map_coordinates original_shape = image.shape # We copy the coordinates array as we then modify it in-place below to clip # to the edges of the array. coords = coords.copy() for i in range(coords.shape[0]): coords[i][(coords[i] < 0) & (coords[i] >= -0.5)] = 0 coords[i][(coords[i] < original_shape[i] - 0.5) & (coords[i] >= original_shape[i] - 1)] = ( original_shape[i] - 1 ) # If the data type is native and we are not doing spline interpolation, # then scipy_map_coordinates deals properly with memory maps, so we can use # it without chunking. Otherwise, we need to iterate over data chunks. if image.dtype.isnative and "order" in kwargs and kwargs["order"] <= 1: values = scipy_map_coordinates(at_least_float32(image), coords, output=output, **kwargs) else: if output is None: output = np.repeat(np.nan, coords.shape[1]) values = output include = np.ones(coords.shape[1], dtype=bool) if "order" in kwargs and kwargs["order"] <= 1: padding = 1 else: padding = 10 for chunk in iterate_chunks(image.shape, max_chunk_size=max_chunk_size): include[...] = True for idim, slc in enumerate(chunk): include[(coords[idim] < slc.start) | (coords[idim] >= slc.stop)] = False if not np.any(include): continue chunk = list(chunk) # Adjust chunks to add padding for idim, slc in enumerate(chunk): start = max(0, slc.start - 10) stop = min(original_shape[idim], slc.stop + 10) chunk[idim] = slice(start, stop) chunk = tuple(chunk) coords_subset = coords[:, include].copy() for idim, slc in enumerate(chunk): coords_subset[idim, :] -= slc.start if optimize_memory: image_subset = memory_efficient_access(image, chunk) else: image_subset = image[chunk] output[include] = scipy_map_coordinates( at_least_float32(image_subset), coords_subset, **kwargs ) reset = np.zeros(coords.shape[1], dtype=bool) for i in range(coords.shape[0]): reset |= coords[i] < -0.5 reset |= coords[i] > original_shape[i] - 0.5 values[reset] = kwargs.get("cval", 0.0) return values def sample_array_edges(shape, *, n_samples): # Given an N-dimensional array shape, sample each edge of the array using # the requested number of samples (which will include vertices). To do this # we iterate through the dimensions and for each one we sample the points # in that dimension and iterate over the combination of other vertices. # Returns an array with dimensions (N, n_samples) all_positions = [] ndim = len(shape) shape = np.array(shape) for idim in range(ndim): for vertex in range(2**ndim): positions = -0.5 + shape * ((vertex & (2 ** np.arange(ndim))) > 0).astype(int) positions = np.broadcast_to(positions, (n_samples, ndim)).copy() positions[:, idim] = np.linspace(-0.5, shape[idim] - 0.5, n_samples) all_positions.append(positions) positions = np.unique(np.vstack(all_positions), axis=0).T return positions ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/common.py0000644000175100001770000003544614716755202017063 0ustar00runnerdockerimport logging import os import tempfile import uuid import dask import dask.array as da import numpy as np from astropy.wcs import WCS from astropy.wcs.wcsapi import BaseHighLevelWCS, SlicedLowLevelWCS from astropy.wcs.wcsapi.high_level_wcs_wrapper import HighLevelWCSWrapper from dask import delayed from .utils import _dask_to_numpy_memmap __all__ = ["_reproject_dispatcher"] class _ArrayContainer: # When we set up as_delayed_memmap_path, if we pass a dask array to it, # dask will actually compute the array before we get to the code inside # as_delayed_memmap_path, so as a workaround we wrap any array we # pass in using _ArrayContainer to make sure dask doesn't try and be smart. def __init__(self, array): self._array = array @delayed(pure=True) def as_delayed_memmap_path(array, tmp_dir): # Extract array from _ArrayContainer if isinstance(array, _ArrayContainer): array = array._array else: raise TypeError("Expected _ArrayContainer in as_delayed_memmap_path") logger = logging.getLogger(__name__) if isinstance(array, da.core.Array): logger.info("Computing input dask array to Numpy memory-mapped array") array_path, _ = _dask_to_numpy_memmap(array, tmp_dir) logger.info(f"Numpy memory-mapped array is now at {array_path}") else: array_path = os.path.join(tmp_dir, f"{uuid.uuid4()}.npy") array_memmapped = np.memmap( array_path, dtype=float, shape=array.shape, mode="w+", ) array_memmapped[:] = array[:] return array_path def _reproject_dispatcher( reproject_func, *, array_in, wcs_in, shape_out, wcs_out, block_size=None, array_out=None, return_footprint=True, output_footprint=None, parallel=True, reproject_func_kwargs=None, return_type=None, ): """ Main function that handles either calling the core algorithms directly or parallelizing or operating in chunks, using dask. Parameters ---------- reproject_func One the existing reproject functions implementing a reprojection algorithm that that will be used be used to perform reprojection array_in : `numpy.ndarray` or `dask.array.Array` Numpy or dask input array wcs_in: `~astropy.wcs.wcsapi.BaseHighLevelWCS` Input data WCS shape_out: tuple Target shape wcs_out: `~astropy.wcs.WCS` Target WCS block_size: tuple or 'auto', optional The size of blocks in terms of output array pixels that each block will handle reprojecting. Extending out from (0,0) coords positively, block sizes are clamped to output space edges when a block would extend past edge. Specifying ``'auto'`` means that reprojection will be done in blocks with the block size automatically determined. If ``block_size`` is not specified or set to `None`, the reprojection will not be carried out in blocks. array_out : `~numpy.ndarray`, optional An array in which to store the reprojected data. This can be any numpy array including a memory map, which may be helpful when dealing with extremely large files. return_footprint : bool, optional Whether to return the footprint in addition to the output array. output_footprint : `~numpy.ndarray`, optional An array in which to store the footprint of reprojected data. This can be any numpy array including a memory map, which may be helpful when dealing with extremely large files. parallel : bool or int or str, optional If `True`, the reprojection is carried out in parallel, and if a positive integer, this specifies the number of threads to use. The reprojection will be parallelized over output array blocks specified by ``block_size`` (if the block size is not set, it will be determined automatically). To use the currently active dask scheduler (e.g. dask.distributed), set this to ``'current-scheduler'``. reproject_func_kwargs : dict, optional Keyword arguments to pass through to ``reproject_func`` return_type : {'numpy', 'dask'}, optional Whether to return numpy or dask arrays - defaults to 'numpy'. """ logger = logging.getLogger(__name__) if return_type is None: return_type = "numpy" elif return_type not in ("numpy", "dask"): raise ValueError("return_type should be set to 'numpy' or 'dask'") if reproject_func_kwargs is None: reproject_func_kwargs = {} # We set up a global temporary directory since this will be used e.g. to # store memory mapped Numpy arrays and zarr arrays. with tempfile.TemporaryDirectory() as local_tmp_dir: if array_out is None: array_out = np.zeros(shape_out, dtype=float) elif array_out.shape != tuple(shape_out): raise ValueError( f"Output array shape {array_out.shape} should match " f"shape_out={shape_out}" ) elif (array_out.dtype.kind, array_out.dtype.itemsize) != ( array_in.dtype.kind, array_in.dtype.itemsize, ): # Note that here we don't care if the endians don't match raise ValueError( f"Output array dtype {array_out.dtype} should match " f"input array dtype ({array_in.dtype})" ) # If neither parallel nor blocked reprojection are requested, we simply # call the underlying core reproject function with the full arrays. if block_size is None and parallel is False: # If a dask array was passed as input, we first convert this to a # Numpy memory mapped array if return_type != "numpy": raise ValueError( "Output cannot be returned as dask arrays " "when parallel=False and no block size has " "been specified" ) if isinstance(array_in, da.core.Array): logger.info("Computing input dask array to Numpy memory-mapped array") array_path, array_in = _dask_to_numpy_memmap(array_in, local_tmp_dir) logger.info(f"Numpy memory-mapped array is now at {array_path}") logger.info(f"Calling {reproject_func.__name__} in non-dask mode") try: return reproject_func( array_in, wcs_in, wcs_out, shape_out=shape_out, array_out=array_out, return_footprint=return_footprint, output_footprint=output_footprint, **reproject_func_kwargs, ) finally: # Clean up reference to numpy memmap array_in = None if output_footprint is None and return_footprint: output_footprint = np.zeros(shape_out, dtype=float) shape_in = array_in.shape # As we use the synchronous or threads scheduler, we don't need to worry about # the data getting copied, so if the data is already a Numpy array (including # a memory-mapped array) then we don't need to do anything special. However, # if the input array is a dask array, we should convert it to a Numpy # memory-mapped array so that it can be used by the various reprojection # functions (which don't internally work with dask arrays). if isinstance(array_in, np.memmap) and array_in.flags.c_contiguous: array_in_or_path = array_in.filename, { "dtype": array_in.dtype, "shape": array_in.shape, "offset": array_in.offset, } elif isinstance(array_in, da.core.Array) or return_type == "dask": if return_type == "dask": # We should use a temporary directory that will persist beyond # the call to the reproject function. tmp_dir = tempfile.mkdtemp() else: tmp_dir = local_tmp_dir array_in_or_path = as_delayed_memmap_path(_ArrayContainer(array_in), tmp_dir) else: # Here we could set array_in_or_path to array_in_path if it has # been set previously, but in synchronous and threaded mode it is # better to simply pass a reference to the memmap array itself to # avoid having to load the memmap inside each # reproject_single_block call. array_in_or_path = array_in def reproject_single_block(a, array_or_path, block_info=None): if ( a.ndim == 0 or block_info is None or block_info == [] or (isinstance(block_info, np.ndarray) and block_info.tolist() == []) ): return np.array([a, a]) # The WCS class from astropy is not thread-safe, see e.g. # https://github.com/astropy/astropy/issues/16244 # https://github.com/astropy/astropy/issues/16245 # To work around these issues, we make sure we do a deep copy of # the WCS object in here when using FITS WCS. This is a very fast # operation (<0.1ms) so should not be a concern in terms of # performance. We only need to do this for FITS WCS. wcs_in_cp = wcs_in.deepcopy() if isinstance(wcs_in, WCS) else wcs_in wcs_out_cp = wcs_out.deepcopy() if isinstance(wcs_out, WCS) else wcs_out slices = [ slice(*x) for x in block_info[None]["array-location"][-wcs_out_cp.pixel_n_dim :] ] if isinstance(wcs_out, BaseHighLevelWCS): low_level_wcs = SlicedLowLevelWCS(wcs_out_cp.low_level_wcs, slices=slices) else: low_level_wcs = SlicedLowLevelWCS(wcs_out_cp, slices=slices) wcs_out_sub = HighLevelWCSWrapper(low_level_wcs) if isinstance(array_or_path, tuple): array_in = np.memmap(array_or_path[0], **array_or_path[1], mode="r") elif isinstance(array_or_path, str): array_in = np.memmap(array_or_path, dtype=float, shape=shape_in, mode="r") else: array_in = array_or_path if array_or_path is None: raise RuntimeError("array_or_path is not set") shape_out = block_info[None]["chunk-shape"][1:] array, footprint = reproject_func( array_in, wcs_in_cp, wcs_out_sub, shape_out=shape_out, array_out=np.zeros(shape_out), **reproject_func_kwargs, ) return np.array([array, footprint]) # NOTE: the following array is just used to set up the iteration in map_blocks # but isn't actually used otherwise - this is deliberate. if block_size is not None and block_size != "auto": if wcs_in.low_level_wcs.pixel_n_dim < len(shape_out): if len(block_size) < len(shape_out): block_size = [-1] * (len(shape_out) - len(block_size)) + list(block_size) else: for i in range(len(shape_out) - wcs_in.low_level_wcs.pixel_n_dim): if block_size[i] != -1 and block_size[i] != shape_out[i]: raise ValueError( "block shape for extra broadcasted dimensions should cover entire array along those dimensions" ) array_out_dask = da.empty(shape_out, chunks=block_size) else: if wcs_in.low_level_wcs.pixel_n_dim < len(shape_out): chunks = (-1,) * (len(shape_out) - wcs_in.low_level_wcs.pixel_n_dim) chunks += ("auto",) * wcs_in.low_level_wcs.pixel_n_dim rechunk_kwargs = {"chunks": chunks} else: rechunk_kwargs = {} array_out_dask = da.empty(shape_out) array_out_dask = array_out_dask.rechunk(block_size_limit=64 * 1024**2, **rechunk_kwargs) logger.info(f"Setting up output dask array with map_blocks") result = da.map_blocks( reproject_single_block, array_out_dask, array_in_or_path, dtype=float, new_axis=0, chunks=(2,) + array_out_dask.chunksize, ) # Ensure that there are no more references to Numpy memmaps array_in = None array_in_or_path = None # Truncate extra elements result = result[tuple([slice(None)] + [slice(s) for s in shape_out])] if return_type == "dask": if return_footprint: return result[0], result[1] else: return result[0] # We now convert the dask arrays back to Numpy arrays if parallel: # As discussed in https://github.com/dask/dask/issues/9556, da.store # will not work well in parallel mode when the destination is a # Numpy array. Instead, in this case we save the dask array to a zarr # array on disk which can be done in parallel, and re-load it as a dask # array. We can then use da.store in the next step using the # 'synchronous' scheduler since that is I/O limited so does not need # to be done in parallel. zarr_path = os.path.join(local_tmp_dir, f"{uuid.uuid4()}.zarr") logger.info(f"Computing output array directly to zarr array at {zarr_path}") if parallel == "current-scheduler": # Just use whatever is the current active scheduler, which can # be used for e.g. dask.distributed result.to_zarr(zarr_path) else: if isinstance(parallel, bool): workers = {} else: if parallel > 0: workers = {"num_workers": parallel} else: raise ValueError( "The number of processors to use must be strictly positive" ) with dask.config.set(scheduler="threads", **workers): result.to_zarr(zarr_path) result = da.from_zarr(zarr_path) logger.info(f"Copying output zarr array into output Numpy arrays") if return_footprint: da.store( [result[0], result[1]], [array_out, output_footprint], compute=True, scheduler="synchronous", ) return array_out, output_footprint else: da.store( result[0], array_out, compute=True, scheduler="synchronous", ) return array_out ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/conftest.py0000644000175100001770000001742214716755202017412 0ustar00runnerdocker# This file is used to configure the behavior of pytest when using the Astropy # test infrastructure. It needs to live inside the package in order for it to # get picked up when running the tests inside an interpreter using # packagename.test import os import dask.array as da import numpy as np import pytest from astropy import units as u from astropy.io import fits from astropy.nddata import NDData from astropy.wcs import WCS from astropy.wcs.wcsapi import HighLevelWCSMixin, SlicedLowLevelWCS try: from pytest_astropy_header.display import PYTEST_HEADER_MODULES, TESTED_VERSIONS ASTROPY_HEADER = True except ImportError: ASTROPY_HEADER = False os.environ["MPLBACKEND"] = "Agg" def pytest_configure(config): if ASTROPY_HEADER: config.option.astropy_header = True PYTEST_HEADER_MODULES.pop("Pandas", None) PYTEST_HEADER_MODULES.pop("h5py", None) PYTEST_HEADER_MODULES.pop("Matplotlib", None) PYTEST_HEADER_MODULES["Astropy"] = "astropy" PYTEST_HEADER_MODULES["astropy-healpix"] = "astropy_healpix" PYTEST_HEADER_MODULES["Cython"] = "cython" from reproject import __version__ TESTED_VERSIONS["reproject"] = __version__ class TestLowLevelWCS(SlicedLowLevelWCS): # The simplest way to get a 'pure' low level WCS is to call SlicedLowLevelWCS # with an ellipsis slice! def __init__(self, low_level_wcs): self._low_level_wcs = low_level_wcs super().__init__(low_level_wcs, Ellipsis) class TestHighLevelWCS(HighLevelWCSMixin): def __init__(self, low_level_wcs): self._low_level_wcs = low_level_wcs @property def low_level_wcs(self): return self._low_level_wcs # FIXME: due to a bug in astropy we need world_n_dim to be defined here @property def world_n_dim(self): return self.low_level_wcs.world_n_dim @property def pixel_n_dim(self): return self.low_level_wcs.pixel_n_dim @pytest.fixture def simple_celestial_fits_wcs(): wcs = WCS(naxis=2) wcs.wcs.ctype = "RA---TAN", "DEC--TAN" wcs.wcs.crpix = (1, 2) wcs.wcs.crval = (30, 40) wcs.wcs.cdelt = (-0.05, 0.04) wcs.wcs.equinox = 2000.0 return wcs @pytest.fixture(params=["fits_wcs", "ape14_low_level_wcs", "ape14_high_level_wcs"]) def simple_celestial_wcs(request, simple_celestial_fits_wcs): if request.param == "fits_wcs": return simple_celestial_fits_wcs elif request.param == "ape14_low_level_wcs": return TestLowLevelWCS(simple_celestial_fits_wcs) elif request.param == "ape14_high_level_wcs": return TestHighLevelWCS(simple_celestial_fits_wcs) def set_wcs_array_shape(wcs, shape): if isinstance(wcs, WCS): wcs._naxis = list(shape[::-1]) elif isinstance(wcs, TestLowLevelWCS): wcs._low_level_wcs._naxis = list(shape[::-1]) elif isinstance(wcs, TestHighLevelWCS): wcs.low_level_wcs._naxis = list(shape[::-1]) def valid_celestial_input(tmp_path, request, wcs): array = np.ones((30, 40)) kwargs = {} if "hdu" in request.param or request.param in ["filename", "path"]: if not isinstance(wcs, WCS): pytest.skip() hdulist = fits.HDUList( [ fits.PrimaryHDU(array, wcs.to_header()), fits.ImageHDU(array, wcs.to_header()), fits.CompImageHDU(array, wcs.to_header()), ] ) if request.param in ["filename", "path"]: input_value = tmp_path / "test.fits" if request.param == "filename": input_value = str(input_value) hdulist.writeto(input_value) kwargs["hdu_in"] = 0 elif request.param == "hdulist": input_value = hdulist kwargs["hdu_in"] = 1 elif request.param == "primary_hdu": input_value = hdulist[0] elif request.param == "image_hdu": input_value = hdulist[1] elif request.param == "comp_image_hdu": input_value = hdulist[2] elif request.param == "shape_wcs_tuple": input_value = (array.shape, wcs) elif request.param == "data_wcs_tuple": input_value = (array, wcs) elif request.param == "dask_wcs_tuple": input_value = (da.from_array(array), wcs) elif request.param == "nddata": input_value = NDData(data=array, wcs=wcs) elif request.param == "nddata_dask": input_value = NDData(data=da.from_array(array), wcs=wcs) elif request.param == "wcs": set_wcs_array_shape(wcs, array.shape) input_value = wcs elif request.param == "shape_wcs_tuple": input_value = (array.shape, wcs) else: raise ValueError(f"Unknown mode: {request.param}") return array, wcs, input_value, kwargs COMMON_PARAMS = [ "filename", "path", "hdulist", "primary_hdu", "image_hdu", "comp_image_hdu", "data_wcs_tuple", "dask_wcs_tuple", "nddata", "nddata_dask", ] @pytest.fixture(params=COMMON_PARAMS) def valid_celestial_input_data(tmp_path, request, simple_celestial_wcs): return valid_celestial_input(tmp_path, request, simple_celestial_wcs) @pytest.fixture( params=COMMON_PARAMS + [ "wcs", "shape_wcs_tuple", ] ) def valid_celestial_input_shapes(tmp_path, request, simple_celestial_wcs): return valid_celestial_input(tmp_path, request, simple_celestial_wcs) @pytest.fixture( params=[ "wcs_shape", "header", "header_shape", "wcs", ] ) def valid_celestial_output_projections(request, simple_celestial_wcs): shape = (30, 40) wcs = simple_celestial_wcs # Rotate the WCS in case this is used for actual reprojection tests # wcs.wcs.pc = np.array([[np.cos(0.4), -np.sin(0.4)], [np.sin(0.4), np.cos(0.4)]]) kwargs = {} if request.param == "wcs_shape": output_value = wcs kwargs["shape_out"] = shape elif request.param == "header": if not isinstance(wcs, WCS): pytest.skip() header = wcs.to_header() header["NAXIS"] = 2 header["NAXIS1"] = 40 header["NAXIS2"] = 30 output_value = header elif request.param == "header_shape": if not isinstance(wcs, WCS): pytest.skip() output_value = wcs.to_header() kwargs["shape_out"] = shape elif request.param == "wcs": set_wcs_array_shape(wcs, (30, 40)) output_value = wcs return wcs, shape, output_value, kwargs DATA = os.path.join(os.path.dirname(__file__), "tests", "data") @pytest.fixture(params=["fits", "asdf"]) def aia_test_data(request): pytest.importorskip("sunpy", minversion="6.0.1") from sunpy.coordinates.ephemeris import get_body_heliographic_stonyhurst from sunpy.map import Map if request.param == "fits": map_aia = Map(os.path.join(DATA, "aia_171_level1.fits")) data = map_aia.data wcs = map_aia.wcs date = map_aia.reference_date target_wcs = wcs.deepcopy() elif request.param == "asdf": pytest.importorskip("astropy", minversion="4.0") pytest.importorskip("gwcs", minversion="0.12") asdf = pytest.importorskip("asdf") aia = asdf.open(os.path.join(DATA, "aia_171_level1.asdf")) data = aia["data"][...] wcs = aia["wcs"] date = wcs.output_frame.reference_frame.obstime target_wcs = Map(os.path.join(DATA, "aia_171_level1.fits")).wcs.deepcopy() else: raise ValueError("file_format should be fits or asdf") # Reproject to an observer on Venus target_wcs.wcs.cdelt = ([24, 24] * u.arcsec).to(u.deg) target_wcs.wcs.crpix = [64, 64] venus = get_body_heliographic_stonyhurst("venus", date) target_wcs.wcs.aux.hgln_obs = venus.lon.to_value(u.deg) target_wcs.wcs.aux.hglt_obs = venus.lat.to_value(u.deg) target_wcs.wcs.aux.dsun_obs = venus.radius.to_value(u.m) return data, wcs, target_wcs ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1731975823.575638 reproject-0.14.1/reproject/healpix/0000755000175100001770000000000014716755220016637 5ustar00runnerdocker././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/healpix/__init__.py0000644000175100001770000000004214716755202020744 0ustar00runnerdockerfrom .high_level import * # noqa ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/healpix/core.py0000644000175100001770000001171114716755202020142 0ustar00runnerdockerimport numpy as np from astropy.coordinates import SkyCoord from astropy_healpix import HEALPix, npix_to_nside from reproject.array_utils import map_coordinates __all__ = ["healpix_to_image", "image_to_healpix"] ORDER = {} ORDER["nearest-neighbor"] = 0 ORDER["bilinear"] = 1 ORDER["biquadratic"] = 2 ORDER["bicubic"] = 3 def healpix_to_image( healpix_data, coord_system_in, wcs_out, shape_out, order="bilinear", nested=False ): """ Convert image in HEALPIX format to a normal FITS projection image (e.g. CAR or AIT). Parameters ---------- healpix_data : `numpy.ndarray` HEALPIX data array coord_system_in : str or `~astropy.coordinates.BaseCoordinateFrame` The coordinate system for the input HEALPIX data, as an Astropy coordinate frame or corresponding string alias (e.g. ``'icrs'`` or ``'galactic'``) wcs_out : `~astropy.wcs.WCS` The WCS of the output array shape_out : tuple The shape of the output array order : int or str, optional The order of the interpolation (if ``mode`` is set to ``'interpolation'``). This can be either one of the following strings: * 'nearest-neighbor' * 'bilinear' or an integer. A value of ``0`` indicates nearest neighbor interpolation. nested : bool The order of the healpix_data, either nested or ring. Stored in FITS headers in the ORDERING keyword. Returns ------- reprojected_data : `numpy.ndarray` HEALPIX image resampled onto the reference image footprint : `~numpy.ndarray` Footprint of the input array in the output array. Values of 0 indicate no coverage or valid values in the input image, while values of 1 indicate valid values. """ healpix_data = np.asarray(healpix_data, dtype=float) # Look up lon, lat of pixels in reference system and convert celestial coordinates yinds, xinds = np.indices(shape_out) world_in = wcs_out.pixel_to_world(xinds, yinds).transform_to(coord_system_in) world_in_unitsph = world_in.represent_as("unitspherical") lon_in, lat_in = world_in_unitsph.lon, world_in_unitsph.lat if isinstance(order, str): order = ORDER[order] nside = npix_to_nside(len(healpix_data)) hp = HEALPix(nside=nside, order="nested" if nested else "ring") if order == 1: with np.errstate(invalid="ignore"): data = hp.interpolate_bilinear_lonlat(lon_in, lat_in, healpix_data) footprint = (~np.isnan(data)).astype(float) elif order == 0: with np.errstate(invalid="ignore"): ipix = hp.lonlat_to_healpix(lon_in, lat_in) data = healpix_data[ipix] footprint = (ipix != -1).astype(float) else: raise ValueError("Only nearest-neighbor and bilinear interpolation are supported") return data, footprint def image_to_healpix(data, wcs_in, coord_system_out, nside, order="bilinear", nested=False): """ Convert image in a normal WCS projection to HEALPIX format. Parameters ---------- data : `numpy.ndarray` Input data array to reproject wcs_in : `~astropy.wcs.WCS` The WCS of the input array coord_system_out : str or `~astropy.coordinates.BaseCoordinateFrame` The target coordinate system for the HEALPIX projection, as an Astropy coordinate frame or corresponding string alias (e.g. ``'icrs'`` or ``'galactic'``) order : int or str, optional The order of the interpolation (if ``mode`` is set to ``'interpolation'``). This can be either one of the following strings: * 'nearest-neighbor' * 'bilinear' * 'biquadratic' * 'bicubic' or an integer. A value of ``0`` indicates nearest neighbor interpolation. nested : bool The order of the healpix_data, either nested or ring. Stored in FITS headers in the ORDERING keyword. Returns ------- reprojected_data : `numpy.ndarray` A HEALPIX array of values footprint : `~numpy.ndarray` Footprint of the input array in the output array. Values of 0 indicate no coverage or valid values in the input image, while values of 1 indicate valid values. """ hp = HEALPix(nside=nside, order="nested" if nested else "ring") npix = hp.npix # Look up lon, lat of pixels in output system and convert colatitude theta # and longitude phi to longitude and latitude. lon_out, lat_out = hp.healpix_to_lonlat(np.arange(npix)) world_out = SkyCoord(lon_out, lat_out, frame=coord_system_out) # Look up pixels in input WCS xinds, yinds = wcs_in.world_to_pixel(world_out) # Interpolate if isinstance(order, str): order = ORDER[order] healpix_data = map_coordinates( data, np.array([yinds, xinds]), order=order, mode="constant", cval=np.nan, ) return healpix_data, (~np.isnan(healpix_data)).astype(float) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/healpix/high_level.py0000644000175100001770000001355514716755202021330 0ustar00runnerdockerfrom ..utils import parse_input_data, parse_output_projection from ..wcs_utils import has_celestial from .core import healpix_to_image, image_to_healpix from .utils import parse_coord_system, parse_input_healpix_data __all__ = ["reproject_from_healpix", "reproject_to_healpix"] def reproject_from_healpix( input_data, output_projection, shape_out=None, hdu_in=1, order="bilinear", nested=None, field=0 ): """ Reproject data from a HEALPIX projection to a standard projection. Parameters ---------- input_data : object The input data to reproject. This can be: * The name of a HEALPIX FITS file * A `~astropy.io.fits.TableHDU` or `~astropy.io.fits.BinTableHDU` instance * A tuple where the first element is a `~numpy.ndarray` and the second element is a `~astropy.coordinates.BaseCoordinateFrame` instance or a string alias for a coordinate frame. output_projection : `~astropy.wcs.wcsapi.BaseLowLevelWCS` or `~astropy.wcs.wcsapi.BaseHighLevelWCS` or `~astropy.io.fits.Header` The output projection, which can be either a `~astropy.wcs.wcsapi.BaseLowLevelWCS`, `~astropy.wcs.wcsapi.BaseHighLevelWCS`, or a `~astropy.io.fits.Header` instance. shape_out : tuple, optional If ``output_projection`` is a WCS instance, the shape of the output data should be specified separately. hdu_in : int or str, optional If ``input_data`` is a FITS file, specifies the HDU to use. (the default HDU for HEALPIX data is 1, unlike with image files where it is generally 0). order : int or str, optional The order of the interpolation (if ``mode`` is set to ``'interpolation'``). This can be either one of the following strings: * 'nearest-neighbor' * 'bilinear' or an integer. A value of ``0`` indicates nearest neighbor interpolation. nested : bool, optional The order of the healpix_data, either nested (True) or ring (False). If a FITS file is passed in, this is determined from the header. field : int, optional The column to read from the HEALPIX FITS file. If the fits file is a partial-sky file, field=0 corresponds to the first column after the pixel index column. Returns ------- array_new : `~numpy.ndarray` The reprojected array. footprint : `~numpy.ndarray` Footprint of the input array in the output array. Values of 0 indicate no coverage or valid values in the input image, while values of 1 indicate valid values. """ array_in, coord_system_in, nested = parse_input_healpix_data( input_data, hdu_in=hdu_in, field=field, nested=nested ) wcs_out, shape_out = parse_output_projection(output_projection, shape_out=shape_out) if nested is None: raise ValueError( "Could not determine whether the data follows the " "'ring' or 'nested' ordering, so you should set " "nested=True or nested=False explicitly." ) return healpix_to_image( array_in, coord_system_in, wcs_out, shape_out, order=order, nested=nested ) def reproject_to_healpix( input_data, coord_system_out, hdu_in=0, order="bilinear", nested=False, nside=128 ): """ Reproject data from a standard projection to a HEALPIX projection. Parameters ---------- input_data : object The input data to reproject. This can be: * The name of a FITS file as a `str` or a `pathlib.Path` object * An `~astropy.io.fits.HDUList` object * An image HDU object such as a `~astropy.io.fits.PrimaryHDU`, `~astropy.io.fits.ImageHDU`, or `~astropy.io.fits.CompImageHDU` instance * A tuple where the first element is a `~numpy.ndarray` and the second element is either a `~astropy.wcs.wcsapi.BaseLowLevelWCS`, `~astropy.wcs.wcsapi.BaseHighLevelWCS`, or a `~astropy.io.fits.Header` object * An `~astropy.nddata.NDData` object from which the ``.data`` and ``.wcs`` attributes will be used as the input data. coord_system_out : `~astropy.coordinates.BaseCoordinateFrame` or str The output coordinate system for the HEALPIX projection. hdu_in : int or str, optional If ``input_data`` is a FITS file or an `~astropy.io.fits.HDUList` instance, specifies the HDU to use. order : int or str, optional The order of the interpolation (if ``mode`` is set to ``'interpolation'``). This can be either one of the following strings: * 'nearest-neighbor' * 'bilinear' * 'biquadratic' * 'bicubic' or an integer. A value of ``0`` indicates nearest neighbor interpolation. nested : bool The order of the healpix_data, either nested (`True`) or ring (`False`). nside : int, optional The resolution of the HEALPIX projection. Returns ------- array_new : `~numpy.ndarray` The reprojected array. footprint : `~numpy.ndarray` Footprint of the input array in the output array. Values of 0 indicate no coverage or valid values in the input image, while values of 1 indicate valid values. """ array_in, wcs_in = parse_input_data(input_data, hdu_in=hdu_in) coord_system_out = parse_coord_system(coord_system_out) if ( has_celestial(wcs_in) and wcs_in.low_level_wcs.pixel_n_dim == 2 and wcs_in.low_level_wcs.world_n_dim == 2 ): return image_to_healpix( array_in, wcs_in, coord_system_out, nside=nside, order=order, nested=nested ) else: raise NotImplementedError( "Only data with a 2-d celestial WCS can be reprojected to a HEALPIX projection" ) ././@PaxHeader0000000000000000000000000000003300000000000010211 xustar0027 mtime=1731975823.575638 reproject-0.14.1/reproject/healpix/tests/0000755000175100001770000000000014716755220020001 5ustar00runnerdocker././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/healpix/tests/__init__.py0000644000175100001770000000000014716755202022100 0ustar00runnerdocker././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1731975823.5796382 reproject-0.14.1/reproject/healpix/tests/data/0000755000175100001770000000000014716755220020712 5ustar00runnerdocker././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/healpix/tests/data/bayestar.fits.gz0000644000175100001770000031103014716755202024030 0ustar00runnerdocker‹ ¶ëSÿ12157.toa_phoa_snr.fitsìØw”TUº7~rìnè¦É©Éˆ€t¬E%Ž(  f   0 c‚1"Žs@1‹1Ì‘ÁˆYAÅì/8wî¯ö½3ï½ïªµ~ìóyÖú¬>««Ï·ö9{?»OÕÈ!{:¨¨¨oÑ¿¨QE;Ÿ6uâ´éGÏ(š9­hðQ#‹fÌ;uÂØéŠþeõ2jø1ÿ&/½-oìôécgM;slÑÌYÇTýµO¿1CFý›¼^Ûò¦wô¸ÊéEÓ&þ3yòÑ•SgLž6uÆ¿Ì4fÔ }þÛëý®?”RJ)¥TbjûãäÈ!Ãöé[Ô¥ÿ}Fõë?tP—Œ—w*7yêØé³ŠfŽ7¥²¨òÄ™ÿx8ý·yÿ¿>?—ü¿??ÿ‘Wü¯òÊzõ®Ø–7¥rê3'mÏûϤ¢âÿa|%ÿ*¯´Wªäßä•üû¼á†í·Ï¨ÿÕç…#¦O;cÆN{tåÌÊéÿúzÿôË+þïy3þ‡ù5xÈ ¡Gþoòþ±d&N®œ2áß§ŽuÀðAÌG—á#†õßþ«.Ù¬çQƒ‡ØûyŽJÊe·ß>CFý#ï˜É'ö(Î6o[sl¿âíy{ ê7t{¯„ýöÏßn{·Ê)“gŒùë¶¢¢a#1dŸ?mËÛgÐÈQƒý—¼áÛsЦMŸP9}òÔ#ŠfŒŸTyte÷¢ÊÉ3'm›¦í§n{±èŸç ¶-qä#·å øŒ0oÐø)“™9y|÷¢?2vü¶£í稜R9cæä±SŠºV{ÜØ™Ó¦o;ÞáŸW÷é·÷×ûϽ#Ì›ºmõþ±Z&Mžñ¿Øl¶mVýëý ¼x{¿¨œ1mÊqܵÿlíùÿ¼¯ÿ¥1rûŽõoûmðäé3fþc6Š:uíU4nìŒÊ ;ü»ùÚï¸ÿ:¾Òâ²òTIj[Þбÿ/qECö8fä€=öÞvÿ¶Ó1dÀQáý2uBå‰Ûf¶OÑ?_ß>ƒÆüÇñ[/ý÷4àý Ëøi“§Ž?¬òøÊ©3ûd6yBŸâ’âòT—méûM|ìq•E“'l{aò¶Vž^4q[úsõÇoßÈQ#öÛ{Ðöõ\Ü}hñ[/C¦Î˜9ý¸m;ßÌÛÎ;³hæôÉGQ9½rBfÌÖÀ~£õÖûú+éUÜ«G¯Þ=z¥Fõêݧ¤wŸ²TÏâ²âtiÅ#5`û‘ÿX;Û~Œ›Q9ýøÿÖ.{ï9p{Ü?棼¼¬¬¢giïòŠtÙ¶ÕÒ«t[ÎÑÓ&l¿° E{7eòØ©ÿSæöñý±þ¶¯¬G¯tâÒQŽûô*îSZò_6qò¶u<~zå¿ïâ#õ5lÄö¼qcgm롱Ó›2müØ)“Oª<ìY™±=tøôiGl[Ìÿ¸ƒþóþýñÿ_ضÛù£ß¶ïÇ½Š‹{V”•—–—÷.í®(ßÞÇm›Ém-7yjÑŒÊñÓ¦nÛ›ÿãjÿ9”cþã½|?¤ÔÿPy-¾ˆ\•/~â–;¾êE@ävÜÿ rïwZÄ-¯Ê^WqËm¸Ûk@äÚ•wâ–sÀ×ß‘ëtÉ@Üê¾ào@äÊZÄ-'ÿ«±@ä:æ âV¿kµõ@äv^PÄ-¯t߃€ÈrûŸ€¸åŽœö<¹óžxˆ[ÞuËo"÷ÀQm€¸åÞ™:ˆÜš’J n9{~=ˆÜô?¿Ä­þ!»ÿDî„AOqË9gì]@ä.êø9·ú'ß܈܌¥Ÿq«7àÛ3€Èõݽ·ºÍßD®ó“ó€¸ÕëóÁ r{_w1·ºÝ÷{ˆ\ï—OâVû™Ë€È½ÿäÝ@ÜjÚ©¹ÊAu€¸Õþî¤ù@ÜêTÛ°ˆ[­?2 ˆÜ…£q«7i÷u@äNHÕâVwÈ­€È ;`+·zSæ?DnŸöâVw·{ï"ײeG nuêTD®NÙ³@Üj]rÜ@äÎ=°?·Úß¾4 ˆÜÃ7ž Ä­ÖÄ›‘ë¼÷Ý@ÜÔÞ: ˆÜ²Ž‹€¸å~\}·¼??ø' n Þøj¹’ÏfqËÛZm:¹vžâ–³ìÑq@Ür÷ž Ä­þ…9K€¸å4xàx n¹ï¹ˆÜEtâ–sóã'‘[¹æ- n ¶–ïÄ­áeVqËëóâ rŸžÄ-¿$ÿ r9+âÖàü+v"÷倸å\pã!@Ür[\¶ˆ[ý²Sw"÷ÝyçqË›Û`¹›ZîÄ-wÂkבkyá, nõ†\?ˆÜ’™Ïq«³¥Í‡@ÜêvÜz·úƒ«]D¿q«»d׫€¸Õ;ìÑ߀¸Õþó5€ÈÍÚóR n5W-Y DîÎëÎâV§S·!@ä¾¾ýk nµ >ˆ[íW?Ä­^û_¿"÷—)Ïq«[¿x·:›'¿ Ä-§ÝO€¸Õ/w·zWt·:çý¶·Ú/ßp<¹NwßÄ­Ö™9q«Ùm·ù@Üê<5¶/·šO?>ˆ[í*‹®âV£Få‰@än?` ¹¥›Ûq«öÑùW‘Û¸b·¯ÖDîë£&q«ž×{ ¹v¥€¸Um?ú| rýˆ[•â/Ú‘ëyøž@ܪ:h¹C¦¬âV¥äýº@ä*f} Ä­Æ·O\ DîÍ~‡q«Þîúý€ÈÕmw!··ìô¹Cß Ä­Ú3Í‘›²Ë—@ܪŽÙÚˆ\é›=€¸U)¯:ˆ\ûE €È½¸×i@ä.ùò r-™D®eëg€È5¹kg r ,"·S×}€È5«3ˆ\ƒ[±›Vˆ\þ–C€Èµð*·ª úâVeÍ×q«Y{ý@Üjôíh nU/îü<·jçT¬âVgÇ%‡q«7`ñý@ܪä~ü¹¼j‘ëy\G rGžq¹Fé1@äÚ•þÄ­jçîâV­Û–{€¸U¿ë´»€¸ÕÜ¡Ýç@ÜrîY;ˆ[ƒa'ÜÄ­v½ëÇq«{ö%@Üò·~p'·Âˇ Ä­úg"wÿÀ€¸UkøÛ nU—¦úq«QtâB n5›~Zˆ[µjãŸâV½^ÿ÷€¸U¹p‡< r'þõ1 r;ݹˆÜ£ç-"7î¡@ܪZÞˆÜÌÛq«²xç¹@Üjvž[ˆ[õºöâVce·q«º²ì n5oZˆ[õ§Ä­Æƒq«¾¼Ê#@änÝRˆ[®ëŸâV½të$ nµ;~x·—tâVóÜ÷N"Wü×Ï€¸ÕmzfS nUÆœ\Ä­êeÕžâV}ÇÔ @Üj\÷i nÕß›t·š]4ˆ[­Ãÿˆ[Ý»RU€¸åLY;ˆ[ƒ=Ö]Ä­Qñ¾õd*¼t¯§dj±d}O ™ZUù,H¦Æ[¿\ $SÓC¯˜$Sëk–ÉÔføÊ#€dÊŸð¹†/}t<·fOï:H¦¥ó6ÉÔö°Ýd*3éH ™Z.zér ™Z·ëðLívúLí[l$Sõµß âVçé7â–{íË­€¸Õ;ý›9@Üj?Üãw nyÏœ¾ ˆ[Á5›qkÒ¸Íj nù[vÛ ˆ[áOÃûÉÔøü¿l’©É³} €djþÍ‚_€djsþÛ/ÉÔöŠï;ÉÔ~ã„ïdêpïM€dj{úåwÉÔêùƒ«ÉÔñÜÁÉÔiÆc€dj¼ë”O€¸>öíb ™šÖúv=L­ïxü] ™Ú,myPå-×ÉÔnsþK@2už;bL]Æï–$SÛy×$S‡â³®’©S3{ÉÔùªvçÉÔpö@äž*¾ˆ[þMS_"wàÁ뀸5\òé)@äΩº/·ü]Þ› D®]‡-@Ü :åŽâ–¿²²·‚I'ö"WýûÖ@Üò_z ¹«Ž©DîË4»6ŸÄ­á±£Ÿ"7næY@ÜòÛí\ D®Ó={qk8ð/ï‘kT¾ ·üv“¾"×ôீÈÝ4á rwMDî—:×q+È÷,·üÇt"÷îiK€¸t¿h¹‰æ‘?ð r5/ýˆ\§>?qË_=³+¹oDî§-‘»wë±@äžzü( nv¸é; 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that do not have valid WCS coordinates.""" npix = nside_to_npix(nside) healpix_data = np.random.uniform(size=npix).astype(dtype) reference_header = get_reference_header(overscan=2, oversample=2, nside=nside) wcs_out = WCS(reference_header) shape_out = reference_header["NAXIS2"], reference_header["NAXIS1"] image_data, footprint = reproject_from_healpix( (healpix_data, healpix_system), wcs_out, shape_out=shape_out, order=order, nested=nested, ) if order == "bilinear": expected_footprint = ~np.isnan(image_data) else: coord_system_in = parse_coord_system(healpix_system) yinds, xinds = np.indices(shape_out) world_in = wcs_out.pixel_to_world(xinds, yinds).transform_to(coord_system_in) world_in_unitsph = world_in.represent_as("unitspherical") lon_in, lat_in = world_in_unitsph.lon, world_in_unitsph.lat expected_footprint = ~(np.isnan(lon_in) | np.isnan(lat_in)) np.testing.assert_array_equal(footprint, expected_footprint) @pytest.mark.parametrize( "wcsapi,nside,nested,healpix_system,image_system,dtype", itertools.product([True, False], [1, 2, 4, 8, 16, 32, 64], [True, False], "C", "C", ALL_DTYPES), ) def test_reproject_healpix_to_image_round_trip( wcsapi, nside, nested, healpix_system, image_system, dtype ): """Test round-trip HEALPix->WCS->HEALPix conversion for a random map, with a WCS projection large enough to store each HEALPix pixel""" npix = nside_to_npix(nside) healpix_data = np.random.uniform(size=npix).astype(dtype) reference_header = get_reference_header(oversample=2, nside=nside) wcs_out = WCS(reference_header) shape_out = reference_header["NAXIS2"], reference_header["NAXIS1"] if wcsapi: wcs_out = as_high_level_wcs(wcs_out) image_data, footprint = reproject_from_healpix( (healpix_data, healpix_system), wcs_out, shape_out=shape_out, order="nearest-neighbor", nested=nested, ) healpix_data_2, footprint = reproject_to_healpix( (image_data, wcs_out), healpix_system, nside=nside, order="nearest-neighbor", nested=nested ) np.testing.assert_array_equal(healpix_data, healpix_data_2) def test_reproject_file(): reference_header = get_reference_header(oversample=2, nside=8) data, footprint = reproject_from_healpix( os.path.join(DATA, "bayestar.fits.gz"), reference_header ) reference_result = fits.getdata(os.path.join(DATA, "reference_result.fits")) np.testing.assert_allclose(data, reference_result, rtol=1.0e-5) def test_reproject_invalid_order(): reference_header = get_reference_header(oversample=2, nside=8) with pytest.raises(ValueError) as exc: reproject_from_healpix( os.path.join(DATA, "bayestar.fits.gz"), reference_header, order="bicubic" ) assert exc.value.args[0] == "Only nearest-neighbor and bilinear interpolation are supported" def test_reproject_to_healpix_input_types(valid_celestial_input_data): array_ref, wcs_in_ref, input_value, kwargs_in = valid_celestial_input_data # Compute reference healpix_data_ref, footprint_ref = reproject_to_healpix((array_ref, wcs_in_ref), "C", nside=64) # Compute test healpix_data_test, footprint_test = reproject_to_healpix( input_value, "C", nside=64, **kwargs_in ) # Make sure there are some valid values assert np.sum(~np.isnan(healpix_data_ref)) == 4 np.testing.assert_allclose(healpix_data_ref, healpix_data_test) np.testing.assert_allclose(footprint_ref, footprint_test) def test_reproject_from_healpix_output_types(valid_celestial_output_projections): wcs_out_ref, shape_ref, output_value, kwargs_out = valid_celestial_output_projections array_input = np.random.random(12 * 64**2) # Compute reference output_ref, footprint_ref = reproject_from_healpix( (array_input, "C"), wcs_out_ref, nested=True, shape_out=shape_ref ) # Compute test output_test, footprint_test = reproject_from_healpix( (array_input, "C"), output_value, nested=True, **kwargs_out ) np.testing.assert_allclose(output_ref, output_test) np.testing.assert_allclose(footprint_ref, footprint_test) def test_reproject_to_healpix_exact_allsky(): # Regression test for a bug that caused artifacts in the final image if the # WCS covered the whole sky - this was due to using scipy's map_coordinates # one instead of our built-in one which deals properly with the pixels # around the rim. shape_out = (160, 320) wcs = WCS(naxis=2) wcs.wcs.crpix = [(shape_out[1] + 1) / 2, (shape_out[0] + 1) / 2] wcs.wcs.cdelt = np.array([-360.0 / shape_out[1], 180.0 / shape_out[0]]) wcs.wcs.crval = [0, 0] wcs.wcs.ctype = ["RA---CAR", "DEC--CAR"] array = np.ones(shape_out) healpix_array, footprint = reproject_to_healpix( (array, wcs), coord_system_out="galactic", nside=64, nested=False, order="bilinear", ) assert np.all(footprint > 0) assert not np.any(np.isnan(healpix_array)) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/healpix/tests/test_utils.py0000644000175100001770000000337314716755202022560 0ustar00runnerdockerimport numpy as np import pytest from astropy.coordinates import FK5, Galactic from astropy.io import fits from reproject.healpix.utils import parse_coord_system, parse_input_healpix_data def test_parse_coord_system(): frame = parse_coord_system(Galactic()) assert isinstance(frame, Galactic) frame = parse_coord_system("fk5") assert isinstance(frame, FK5) with pytest.raises(ValueError) as exc: frame = parse_coord_system("e") assert exc.value.args[0] == "Ecliptic coordinate frame not yet supported" frame = parse_coord_system("g") assert isinstance(frame, Galactic) with pytest.raises(ValueError) as exc: frame = parse_coord_system("spam") assert exc.value.args[0] == "Could not determine frame for system=spam" @pytest.mark.filterwarnings("ignore:unclosed file:ResourceWarning") def test_parse_input_healpix_data(tmpdir): data = np.arange(3072) col = fits.Column(array=data, name="flux", format="E") hdu = fits.BinTableHDU.from_columns([col]) hdu.header["NSIDE"] = 512 hdu.header["COORDSYS"] = "G" # As HDU array, coordinate_system, nested = parse_input_healpix_data(hdu) np.testing.assert_allclose(array, data) # As filename filename = tmpdir.join("test.fits").strpath hdu.writeto(filename) array, coordinate_system, nested = parse_input_healpix_data(filename) np.testing.assert_allclose(array, data) # As array array, coordinate_system, nested = parse_input_healpix_data((data, "galactic")) np.testing.assert_allclose(array, data) # Invalid with pytest.raises(TypeError) as exc: parse_input_healpix_data(data) assert exc.value.args[0] == ( "input_data should either be an HDU object or a tuple of (array, frame)" ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/healpix/utils.py0000644000175100001770000000353414716755202020356 0ustar00runnerdockerimport numpy as np from astropy.coordinates import ( ICRS, BaseCoordinateFrame, Galactic, frame_transform_graph, ) from astropy.io import fits from astropy.io.fits import BinTableHDU, TableHDU FRAMES = {"g": Galactic(), "c": ICRS()} def parse_coord_system(system): if isinstance(system, BaseCoordinateFrame): return system elif isinstance(system, str): system = system.lower() if system == "e": raise ValueError("Ecliptic coordinate frame not yet supported") elif system in FRAMES: return FRAMES[system] else: system_new = frame_transform_graph.lookup_name(system) if system_new is None: raise ValueError(f"Could not determine frame for system={system}") else: return system_new() def parse_input_healpix_data(input_data, field=0, hdu_in=None, nested=None): """ Parse input HEALPIX data to return a Numpy array and coordinate frame object. """ if isinstance(input_data, TableHDU | BinTableHDU): data = input_data.data header = input_data.header coordinate_system_in = parse_coord_system(header["COORDSYS"]) array_in = data[data.columns[field].name].ravel() if "ORDERING" in header: nested = header["ORDERING"].lower() == "nested" elif isinstance(input_data, str): # NOTE: hdu is not closed here. hdu = fits.open(input_data)[hdu_in or 1] return parse_input_healpix_data(hdu, field=field) elif isinstance(input_data, tuple) and isinstance(input_data[0], np.ndarray): array_in = input_data[0] coordinate_system_in = parse_coord_system(input_data[1]) else: raise TypeError("input_data should either be an HDU object or a tuple of (array, frame)") return array_in, coordinate_system_in, nested ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1731975823.5796382 reproject-0.14.1/reproject/interpolation/0000755000175100001770000000000014716755220020074 5ustar00runnerdocker././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/interpolation/__init__.py0000644000175100001770000000023714716755202022207 0ustar00runnerdocker# Licensed under a 3-clause BSD style license - see LICENSE.rst """ Routines to carry out reprojection by interpolation. """ from .high_level import * # noqa ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/interpolation/core.py0000644000175100001770000001321314716755202021376 0ustar00runnerdocker# Licensed under a 3-clause BSD style license - see LICENSE.rst import numpy as np from astropy.wcs import WCS from astropy.wcs.utils import pixel_to_pixel from ..array_utils import map_coordinates from ..wcs_utils import has_celestial, pixel_to_pixel_with_roundtrip def _validate_wcs(wcs_in, wcs_out, shape_in, shape_out): if wcs_in.low_level_wcs.pixel_n_dim != wcs_out.low_level_wcs.pixel_n_dim: raise ValueError("Number of dimensions in input and output WCS should match") elif len(shape_out) < wcs_out.low_level_wcs.pixel_n_dim: raise ValueError("Too few dimensions in shape_out") elif len(shape_in) < wcs_in.low_level_wcs.pixel_n_dim: raise ValueError("Too few dimensions in input data") elif len(shape_in) != len(shape_out): raise ValueError("Number of dimensions in input and output data should match") # Separate the "extra" dimensions that don't correspond to a WCS axis and # which we'll be looping over extra_dimens_in = shape_in[: -wcs_in.low_level_wcs.pixel_n_dim] extra_dimens_out = shape_out[: -wcs_out.low_level_wcs.pixel_n_dim] if extra_dimens_in != extra_dimens_out: raise ValueError("Dimensions to be looped over must match exactly") if has_celestial(wcs_in) and not has_celestial(wcs_out): raise ValueError("Input WCS has celestial components but output WCS does not") elif has_celestial(wcs_out) and not has_celestial(wcs_in): raise ValueError("Output WCS has celestial components but input WCS does not") if isinstance(wcs_in, WCS) and isinstance(wcs_out, WCS): # Check whether a spectral component is present, and if so, check that # the CTYPEs match. if wcs_in.wcs.spec >= 0 and wcs_out.wcs.spec >= 0: if wcs_in.wcs.ctype[wcs_in.wcs.spec] != wcs_out.wcs.ctype[wcs_out.wcs.spec]: raise ValueError( f"The input ({wcs_in.wcs.ctype[wcs_in.wcs.spec]}) and output ({wcs_out.wcs.ctype[wcs_out.wcs.spec]}) spectral " "coordinate types are not equivalent." ) elif wcs_in.wcs.spec >= 0: raise ValueError("Input WCS has a spectral component but output WCS does not") elif wcs_out.wcs.spec >= 0: raise ValueError("Output WCS has a spectral component but input WCS does not") def _reproject_full( array, wcs_in, wcs_out, shape_out, order=1, array_out=None, return_footprint=True, roundtrip_coords=True, output_footprint=None, ): """ Reproject n-dimensional data to a new projection using interpolation. The input and output WCS and shape have to satisfy a number of conditions: - The number of dimensions in each WCS should match - The output shape should match the dimensionality of the WCS - The input and output WCS should have matching physical types, although the order can be different as long as the physical types are unique. If the input array contains extra dimensions beyond what the input WCS has, the extra leading dimensions are assumed to represent multiple images with the same coordinate information. The transformation is computed once and "broadcast" across those images. """ # shape_out must be exactly a tuple type shape_out = tuple(shape_out) _validate_wcs(wcs_in, wcs_out, array.shape, shape_out) if array_out is None: array_out = np.empty(shape_out) if output_footprint is None: output_footprint = np.empty(shape_out) array_out_loopable = array_out if len(array.shape) == wcs_in.low_level_wcs.pixel_n_dim: # We don't need to broadcast the transformation over any extra # axes---add an extra axis of length one just so we have something # to loop over in all cases. array = array.reshape((1, *array.shape)) array_out_loopable = array_out.reshape((1, *array_out.shape)) elif len(array.shape) > wcs_in.low_level_wcs.pixel_n_dim: # We're broadcasting. Flatten the extra dimensions so there's just one # to loop over array = array.reshape((-1, *array.shape[-wcs_in.low_level_wcs.pixel_n_dim :])) array_out_loopable = array_out.reshape( (-1, *array_out.shape[-wcs_out.low_level_wcs.pixel_n_dim :]) ) else: raise ValueError("Too few dimensions for input array") wcs_dims = shape_out[-wcs_in.low_level_wcs.pixel_n_dim :] pixel_out = np.meshgrid( *[np.arange(size, dtype=float) for size in wcs_dims], indexing="ij", sparse=False, copy=False, ) pixel_out = [p.ravel() for p in pixel_out] # For each pixel in the output array, get the pixel value in the input WCS if roundtrip_coords: pixel_in = pixel_to_pixel_with_roundtrip(wcs_out, wcs_in, *pixel_out[::-1])[::-1] else: pixel_in = pixel_to_pixel(wcs_out, wcs_in, *pixel_out[::-1])[::-1] pixel_in = np.array(pixel_in) # Loop over the broadcasted dimensions in our array, re-using the same # computed transformation each time for i in range(len(array)): # Interpolate array on to the pixels coordinates in pixel_in map_coordinates( array[i], pixel_in, order=order, cval=np.nan, mode="constant", output=array_out_loopable[i].ravel(), max_chunk_size=256 * 1024**2, ) # n.b. We write the reprojected data into array_out_loopable, but array_out # also contains this data and has the user's desired output shape. if return_footprint: output_footprint[:] = (~np.isnan(array_out)).astype(float) return array_out, output_footprint else: return array_out ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/interpolation/high_level.py0000644000175100001770000001357314716755202022565 0ustar00runnerdocker# Licensed under a 3-clause BSD style license - see LICENSE.rst from ..common import _reproject_dispatcher from ..utils import parse_input_data, parse_output_projection from .core import _reproject_full __all__ = ["reproject_interp"] ORDER = {} ORDER["nearest-neighbor"] = 0 ORDER["bilinear"] = 1 ORDER["biquadratic"] = 2 ORDER["bicubic"] = 3 def reproject_interp( input_data, output_projection, shape_out=None, hdu_in=0, order="bilinear", roundtrip_coords=True, output_array=None, output_footprint=None, return_footprint=True, block_size=None, parallel=False, return_type=None, ): """ Reproject data to a new projection using interpolation (this is typically the fastest way to reproject an image). Parameters ---------- input_data : object The input data to reproject. This can be: * The name of a FITS file as a `str` or a `pathlib.Path` object * An `~astropy.io.fits.HDUList` object * An image HDU object such as a `~astropy.io.fits.PrimaryHDU`, `~astropy.io.fits.ImageHDU`, or `~astropy.io.fits.CompImageHDU` instance * A tuple where the first element is a `~numpy.ndarray` and the second element is either a `~astropy.wcs.wcsapi.BaseLowLevelWCS`, `~astropy.wcs.wcsapi.BaseHighLevelWCS`, or a `~astropy.io.fits.Header` object * An `~astropy.nddata.NDData` object from which the ``.data`` and ``.wcs`` attributes will be used as the input data. If the data array contains more dimensions than are described by the input header or WCS, the extra dimensions (assumed to be the first dimensions) are taken to represent multiple images with the same coordinate information. The coordinate transformation will be computed once and then each image will be reprojected, offering a speedup over reprojecting each image individually. output_projection : `~astropy.wcs.wcsapi.BaseLowLevelWCS` or `~astropy.wcs.wcsapi.BaseHighLevelWCS` or `~astropy.io.fits.Header` The output projection, which can be either a `~astropy.wcs.wcsapi.BaseLowLevelWCS`, `~astropy.wcs.wcsapi.BaseHighLevelWCS`, or a `~astropy.io.fits.Header` instance. shape_out : tuple, optional If ``output_projection`` is a WCS instance, the shape of the output data should be specified separately. hdu_in : int or str, optional If ``input_data`` is a FITS file or an `~astropy.io.fits.HDUList` instance, specifies the HDU to use. order : int or str, optional The order of the interpolation. This can be any of the following strings: * 'nearest-neighbor' * 'bilinear' * 'biquadratic' * 'bicubic' or an integer. A value of ``0`` indicates nearest neighbor interpolation. roundtrip_coords : bool Whether to verify that coordinate transformations are defined in both directions. output_array : None or `~numpy.ndarray` An array in which to store the reprojected data. This can be any numpy array including a memory map, which may be helpful when dealing with extremely large files. output_footprint : `~numpy.ndarray`, optional An array in which to store the footprint of reprojected data. This can be any numpy array including a memory map, which may be helpful when dealing with extremely large files. return_footprint : bool Whether to return the footprint in addition to the output array. block_size : tuple or 'auto', optional The size of blocks in terms of output array pixels that each block will handle reprojecting. Extending out from (0,0) coords positively, block sizes are clamped to output space edges when a block would extend past edge. Specifying ``'auto'`` means that reprojection will be done in blocks with the block size automatically determined. If ``block_size`` is not specified or set to `None`, the reprojection will not be carried out in blocks. parallel : bool or int or str, optional If `True`, the reprojection is carried out in parallel, and if a positive integer, this specifies the number of threads to use. The reprojection will be parallelized over output array blocks specified by ``block_size`` (if the block size is not set, it will be determined automatically). To use the currently active dask scheduler (e.g. dask.distributed), set this to ``'current-scheduler'``. return_type : {'numpy', 'dask'}, optional Whether to return numpy or dask arrays - defaults to 'numpy'. Returns ------- array_new : `~numpy.ndarray` The reprojected array. footprint : `~numpy.ndarray` Footprint of the input array in the output array. Values of 0 indicate no coverage or valid values in the input image, while values of 1 indicate valid values. """ array_in, wcs_in = parse_input_data(input_data, hdu_in=hdu_in) wcs_out, shape_out = parse_output_projection( output_projection, shape_in=array_in.shape, shape_out=shape_out, output_array=output_array ) if isinstance(order, str): order = ORDER[order] # TODO: add tests that actually ensure that order and roundtrip_coords work return _reproject_dispatcher( _reproject_full, array_in=array_in, wcs_in=wcs_in, wcs_out=wcs_out, shape_out=shape_out, array_out=output_array, parallel=parallel, block_size=block_size, return_footprint=return_footprint, output_footprint=output_footprint, reproject_func_kwargs=dict( order=order, roundtrip_coords=roundtrip_coords, ), return_type=return_type, ) ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1731975823.5796382 reproject-0.14.1/reproject/interpolation/tests/0000755000175100001770000000000014716755220021236 5ustar00runnerdocker././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/interpolation/tests/__init__.py0000644000175100001770000000000014716755202023335 0ustar00runnerdocker././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1731975823.5796382 reproject-0.14.1/reproject/interpolation/tests/reference/0000755000175100001770000000000014716755220023174 5ustar00runnerdocker././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/interpolation/tests/reference/test_reproject_celestial_2d_gal2equ.fits0000644000175100001770000011660014716755202033155 0ustar00runnerdockerSIMPLE = T / conforms to FITS standard BITPIX = -64 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 43 NAXIS2 = 43 EXTEND = T COMMENT FITS (Flexible Image Transport System) format is defined in 'AstronomyCOMMENT and Astrophysics', volume 376, page 359; bibcode: 2001A&A...376..359H CRPIX1 = 20 CRVAL1 = 266.39311 CDELT1 = -0.002 CTYPE1 = 'RA---TAN' CRPIX2 = 21.5 CRVAL2 = -28.939779 CDELT2 = 0.002 CTYPE2 = 'DEC--TAN' CROTA2 = 0.000000000 LONPOLE = 0.000000000 END øøøøøøøøøø>ÞH¯@>ߊ~@>à'JÀ>ÜDÒ@>ÕÙ«à>ÓvÓ >ÚÖ«@>׈eà>ÒÀŒà>Õ~ >ÕØp >ÓÌK@>Ô:´à>Ø sà>Ù>åà>×·ÉÀ>×/g >Ó' >Ò"3à>Ôï: >Ým @øøøøøøøøøøøøøøøøøøøøøø>ØÑ >×T€ >Ø|-à>ÙsM >×yC >Öv‹ >Ú­à>ØÆ)`>Õ¥€>Ùi{ >ÔÌ1 >Ó' >ØÅ)`>ÜÔRÀ>ÞŽ@>Öfg >ѶÀ>Ó0, >Ïfbà>Ðb-€>×9â>ÒZÀ>ÚDl øøøøøøøøøøøøøøøøøøø>Õ ãà>ÕD…>Ó8ý>Öü4à>Ü¢ñ >Úì >×]À>Ôý>Õ1’>ÕÊû>ØQÈ >Ø|@>ÕnlÀ>Ý—RÀ>Û˜ç`>Ù¨1€>ØüE>Ùó0 >ÚõÀ>Ø ”`>ÔÐ `>ÓJâ >ÖMÒ >Ùâ€>Û5æÀ>Ü¥S€øøøøøøøøøøøøøøøøø>Ûà<`>Þ«ù@>Õ]ùà>ÛêÂà>ÞæŸà>ÜÊÆ`>Û!Ñ >Ù~@>ÔóÈÀ>Ùâþ`>×&Ô >Õ:/`>Ös>ÙI>À>Ù€>Ø/ >ØÃ  >Ú €>ÛIŽ@>Úr{ >Ó¯Bà>ÓJŒ€>Ø¿º >Ø·Á€>Ü7­@>ÜýÉ`>àÍ€øøøøøøøøøøøøøøø>Ýh¢€>ÝW€>ØÀ± >×"À>× À>ÞNà>߇ã@>Û£Þ >Ù÷K >Ù7ù`>Ù¤ö`>ÕèÛ`>Óºd@>Ö-F>Ú§² >݆@>Ùl+>Õ#ä`>Ø’`>Û¦¡>Ü9" >Ðp >؇÷`>ß¡±€>Úì+`>Ýpà>ßÚ/@>ãØ@>ÞË(@>Ý/; øøøøøøøøøøøø>ÝÕé >ÜZòÀ>܆͠>ÛŸ`>Ù'f>Úe] >Û§Ù`>Ûx»à>×ÿ½à>ÛK2À>ÝC¤@>Útä€>Ö»èà>Õ³ü >Ó4{ >×€>ت:@>ØMƒ>ÙóŒà>ÙŸŸÀ>ØX% >Ù~>Ù§à>ܼ2`>à&s>ÚÕf@>Ýo€>ãs5@>âÇÀ>ß7Ô`>ÜOÀ>ÝÖt`>ÚuV øøøøøøøøøø>Þ×[ >Þ-@>ÙR+À>ܪ¸€>ÛJ >ÞÌ7`>Ý’€>Û´’à>Ø–ð >ßh¼ >Û¢‡ >Ü>Úu¥ >×,L@>Ó¿h>Õ@>Ø\Yà>Ö;µà>Û¶$@>Ùõ À>Ôi>ØÅsÀ>à2×@>à;Ì >߯À>߆Ä@>â‚Ë>âð™@>á±là>ÛÅ >ÜÜ!@>Û]À>ÙÜÌÀ>Ýšµàøøøøøøøø>×qWà>ßr½`>ßfÀ>Ý‚¨>ßiQ`>à · >ã–à>ßžÅ>Ü,É >Þ¹”`>ß;@>ÜBtà>ßF@>ÙHà>Ùáà >ÛbÕ >ØP >Øú¶>ÝÜÀ>áºÀ>à>ÖÉ>ÝÇq >á%Æ>â}P>ã|>ä}@>è×CÀ>å$8€>ᘚ@>áó>àYNÀ>Ü8—>Ø£È`>ÝÙ >á|€>âÖÝøøøøø>Ý¥…>܉`>Þšz>ÝqQ >ÜÛ. >ÝsÖà>âHr€>âôþ >Þ¡- >Ýì°à>á2(>ât¿@>àËà>Ü >Ú# >ÛŽ`>ßÐÕ€>ߺ À>ßQQ€>á|3>ßÂÀ>ÙkR`>ÚV›>á%€>á)Ž@>áyé`>ä‡À>åËm>èS&€>å°'À>àÁô`>å_P>ãÊ`>Ý Î€>ÜV>ÝÚ‡>ß >â1`øøøøø>ãc‚`>áè: >Ýs<`>ÞA|>àÒ²À>à= €>àå>àâÞ>ÞÌëÀ>ß y€>ä!Á >äƒô`>âæ€>ã&Eà>à=z€>Þ’`>â^à>ä¥ à>ãÎ>áîS >Ý×ã>Ûoà>â2XÀ>á!à>ß©I>à£S >â°ÔÀ>ãaá@>åW»`>ä±@>æMÀ>äÏ•`>á¼V>ÝÖì >á)Œ@>ÞOÀ>áá7À>á;Ìàøøøø>à]² >ãé€>ãK5`>ßG- >Þ€>â£@>âxÃ@>áúN€>àÀ>ã—>ä³;`>æ9À>ã1™ >åe¸ >ãI`>áDü€>á2À >ã_e@>åd`>älÖ€>ãÝ%@>⟠>ã\ >ã´Ò >àõ{à>ØaB`>ॽ >áö“€>â¹¢€>å{À>äîž >åˆ:à>â‡ù`>Ú.Q€>ÜwC@>Ýù_€>à >Ủ`>àJ@ øøøø>ãN >ææmà>䟫€>âJk@>âVÖ >ãËm >ää`à>æø@>ã…%@>ç+Y >åʧ>ãà€@>âËp`>äE^ >âsÅ@>à߀ >㉋>å Ø`>給 >èßÕ >êFÊ€>çÁ>毻 >ãV£ >à9`>Ý—@>áC‹ >â 7à>âfª>âáÀ>âWq`>áJ+`>á@" >ÝeHÀ>Ú¥°@>Ü¡p >ßU >àaì€>ÞQ¯@øøø>åég >çÈC@>èZª€>å“ù`>åq,>æt¶>çªP€>çÀ¸`>é¼,>èD€>å˜M >æ ÁÀ>åÃŽ>å£ >æzÉÀ>ä ]€>æ§à>èµ–€>ë ê@>ï·f>ðbÁ >ñl}€>íÂä@>éXwÀ>åä(>âb >ày?`>ä%äà>àýY >ã6‡>ä•>ãtÕ@>â¦>àåù€>ß >Ú ¡à>áQL >áFþ`>á}à>á½»€øø>æ €>çË >èiÔ >çt  >ã p@>ä} >æ4þ >çUà>ê4/@>ê¥3>ë|À>ëŠxà>ìÆà@>èq²`>ë¹>ëÿõ >èƒß>ë\  >ïAO`>ñæx>ò¤å >òݺÀ>óô;@>ò¡}@>îÞC >êÕ°@>âÞi€>ä⌠>ç=4 >ãÎA >æ·7 >è¡=>èÉ >æ!>ãï@>à2z >áÅ >åïõ >âQœ>àÄÙ >áBìøø>åÃö >çf >è y`>èŒ* >ç™à>èóÏ`>é~»€>ìrLÀ>ð§À>ísÀ>ïðø`>ò‘C>ó u>ñ¶ÌÀ>ò‰…€>ó@4>ï8ª@>ð±ºà>óS# >ô ®>ôWm >õå`>÷´”@>õ%y@>òYx >îÈ>çd? >èm‰à>ç§_à>ãµ~@>ä-h>è`>æí« >äm¨@>â)Í >âÚ >ã ,@>ãûà>á^œ >á¨À>áÓ€ø>äü>ç@å >èsÄ >èÚ¸ >ékØ@>ì}›à>ìËG >í«} >ð6Å >ò(ö@>ò< >ón >øŒ¹@>ûÆ(`>ý``>ý£è>ûÒé >ö­À>õ÷ €>÷D À>ôÉw >õä2`>ú‰ŸÀ>ûŸO >øÄ­à>õK` >ñœ >ìTG >é`Ã>æŠÑ >çaI@>ç쪀>æ Øà>åÒØ>âH¥`>â}@>â$ˆà>á‹À>ß%T`>ßr•à>ãwà>âÊûàø>匭`>ê¾oÀ>ì­@>먳à>î(=@>îÁbà>î(µÀ>ïXÉà>ñOW€>õ ðÀ>ù M€>ÿ|Ä ?ª ?!ë`? %À?¶¼ ?\/€?Z€>üýÉ€>ù4D>÷M& >ù}å`?‘"`?³ß€?¥Ú@>ÿ¹iÀ>ù^» >ó_ð >ì·aà>è+ï >ì` >è`>ä[‚€>äFÜ`>ä>‘ >å!`>è ö >æ>ã¶ >áùd@>â–ð >á€>æM= >癑>ê C`>ëÉ/ >íuL >ï ‘€>ïƒa>ð†V >ñxà>óÆøà>úYâà?ý×À? 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xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/interpolation/tests/reference/test_reproject_celestial_3d_equ2gal.fits0000644000175100001770000002640014716755202033154 0ustar00runnerdockerSIMPLE = T / conforms to FITS standard BITPIX = -64 / array data type NAXIS = 3 / number of array dimensions NAXIS1 = 10 NAXIS2 = 9 NAXIS3 = 4 EXTEND = T WCSAXES = 3 / Number of coordinate axes CRPIX1 = 6 / Pixel coordinate of reference point CRPIX2 = 5 / Pixel coordinate of reference point CRPIX3 = 2 / Pixel coordinate of reference point CDELT1 = -0.006 / [deg] Coordinate increment at reference point CDELT2 = 0.006 / [deg] Coordinate increment at reference point CDELT3 = 75 / [m s-1] Coordinate increment at reference pointCUNIT1 = 'deg' / Units of coordinate increment and value CUNIT2 = 'deg' / Units of coordinate increment and value CUNIT3 = 'm s-1' / Units of coordinate increment and value CTYPE1 = 'GLON-SIN' / Right ascension, Sanson-Flamsteed projection CTYPE2 = 'GLAT-SIN' / Declination, 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'IMAGE ' / Image extension BITPIX = -64 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 128 NAXIS2 = 128 PCOUNT = 0 / number of parameters GCOUNT = 1 / number of groups WCSAXES = 2 / Number of coordinate axes CRPIX1 = 64.0 / Pixel coordinate of reference point CRPIX2 = 64.0 / Pixel coordinate of reference point PC1_1 = 0.99999994260024 / Coordinate transformation matrix element PC1_2 = -0.00033882076120692 / Coordinate transformation matrix element PC2_1 = 0.00033882076120692 / Coordinate transformation matrix element PC2_2 = 0.99999994260024 / Coordinate transformation matrix element CDELT1 = 0.0066666666666667 / [deg] Coordinate increment at reference point CDELT2 = 0.0066666666666667 / [deg] Coordinate increment at reference point CUNIT1 = 'deg' / Units of coordinate increment and value CUNIT2 = 'deg' / Units of coordinate increment and value CTYPE1 = 'HPLN-TAN' / Coordinate type codegnomonic projection CTYPE2 = 'HPLT-TAN' / Coordinate type codegnomonic projection CRVAL1 = -0.0012589367249586 / [deg] Coordinate value at reference point CRVAL2 = 0.00079599300143911 / [deg] Coordinate value at reference point LONPOLE = 180.0 / [deg] Native longitude of celestial pole LATPOLE = 0.00079599300143911 / [deg] Native latitude of celestial pole MJDREF = 0.0 / [d] MJD of fiducial time DATE-OBS= '2011-02-15 00:00:00.340' / ISO-8601 time of observation MJD-OBS = 55607.000003935 / [d] MJD of observation RSUN_REF= 696000000.0 / [m] Solar radius DSUN_OBS= 108073948993.25 / [m] Distance from centre of Sun to observer HGLN_OBS= 65.813088383571 / [deg] Stonyhurst heliographic lng of observer HGLT_OBS= -2.6593413571937 / [deg] Heliographic latitude of observer EXTNAME = 'FOOTPRINT' / extension name END 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?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/interpolation/tests/reference/test_small_cutout.fits0000644000175100001770000002640014716755202027637 0ustar00runnerdockerSIMPLE = T / conforms to FITS standard BITPIX = -64 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 10 NAXIS2 = 9 EXTEND = T COMMENT FITS (Flexible Image Transport System) format is defined in 'AstronomyCOMMENT and Astrophysics', volume 376, page 359; bibcode: 2001A&A...376..359H CRPIX1 = 5.1 CRVAL1 = 266.39311 CDELT1 = -0.002 CTYPE1 = 'RA---TAN' CRPIX2 = 4.7 CRVAL2 = -28.939779 CDELT2 = 0.002 CTYPE2 = 'DEC--TAN' CROTA2 = 0.000000000 LONPOLE = 0.000000000 END ?ŽÇ ?3À@?%þà?•% ?qŒ>ý‡ˆ`>úÕ@>þ<—`?³ ? ˜ @?#cÚ ? Ð\ ?¶y€?© @?È€?Õ ?~0`?Xç`? › ?°ÇÀ?,ÛÖÀ?)WÔ ?"¦ƒ ?VKà? &¨À?Ú‰ ?ÊÈ@?Ù À?ñd`?ï5@?1W@?0 T ?&‡ ?G ?`ª`?·A@?Ê`?[³ ?¾š€?¢`?/\?-¼í€?%Á„ ?: À?R à?êÂà?Eà?1<€? Hƒ?®<@?'ÓQà?&·Ž€?!q) ?4`?,Ò ?1ò ?kà?_Î@?‡=à?ý5 ? H—@?ë… ?=?à?¬g ?Z?ö@?:,€?>¾`?Pv ?ÃÈà?5`?âš`?*‚@?| ? h> ?3BÀ?º€?„·À>ü¶ >üÌ ? TÓ@? ­k? ±`?ßhà?p×€?¾`? >þ >ûàØ>úCg XTENSION= 'IMAGE ' / Image extension BITPIX = -64 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 10 NAXIS2 = 9 PCOUNT = 0 / number of parameters GCOUNT = 1 / number of groups COMMENT FITS (Flexible Image Transport System) format is defined in 'AstronomyCOMMENT and Astrophysics', volume 376, page 359; bibcode: 2001A&A...376..359H CRPIX1 = 5.1 CRVAL1 = 266.39311 CDELT1 = -0.002 CTYPE1 = 'RA---TAN' CRPIX2 = 4.7 CRVAL2 = -28.939779 CDELT2 = 0.002 CTYPE2 = 'DEC--TAN' CROTA2 = 0.000000000 LONPOLE = 0.000000000 EXTNAME = 'FOOTPRINT' / extension name END ?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð?ð././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/interpolation/tests/test_core.py0000644000175100001770000010214114716755202023576 0ustar00runnerdocker# Licensed under a 3-clause BSD style license - see LICENSE.rst import itertools import dask.array as da import numpy as np import pytest from astropy import units as u from astropy.io import fits from astropy.utils.data import get_pkg_data_filename from astropy.wcs import WCS from astropy.wcs.wcs import FITSFixedWarning from astropy.wcs.wcsapi import HighLevelWCSWrapper, SlicedLowLevelWCS from numpy.testing import assert_allclose from reproject.interpolation.high_level import reproject_interp from reproject.tests.helpers import array_footprint_to_hdulist # TODO: add reference comparisons def as_high_level_wcs(wcs): return HighLevelWCSWrapper(SlicedLowLevelWCS(wcs, Ellipsis)) @pytest.mark.array_compare(single_reference=True) @pytest.mark.parametrize("wcsapi", (False, True)) @pytest.mark.parametrize("roundtrip_coords", (False, True)) @pytest.mark.remote_data def test_reproject_celestial_2d_gal2equ(wcsapi, roundtrip_coords): """ Test reprojection of a 2D celestial image, which includes a coordinate system conversion. """ with fits.open(get_pkg_data_filename("data/galactic_2d.fits", package="reproject.tests")) as pf: hdu_in = pf[0] header_out = hdu_in.header.copy() header_out["CTYPE1"] = "RA---TAN" header_out["CTYPE2"] = "DEC--TAN" header_out["CRVAL1"] = 266.39311 header_out["CRVAL2"] = -28.939779 if wcsapi: # Enforce a pure wcsapi API wcs_in, data_in = as_high_level_wcs(WCS(hdu_in.header)), hdu_in.data wcs_out = as_high_level_wcs(WCS(header_out)) shape_out = header_out["NAXIS2"], header_out["NAXIS1"] array_out, footprint_out = reproject_interp( (data_in, wcs_in), wcs_out, shape_out=shape_out, roundtrip_coords=roundtrip_coords ) else: array_out, footprint_out = reproject_interp( hdu_in, header_out, roundtrip_coords=roundtrip_coords ) return array_footprint_to_hdulist(array_out, footprint_out, header_out) # Note that we can't use independent_celestial_slices=True and reorder the # axes, hence why we need to prepare the combinations in this way. AXIS_ORDER = list(itertools.permutations((0, 1, 2))) COMBINATIONS = [] for wcsapi in (False, True): for axis_order in AXIS_ORDER: COMBINATIONS.append((wcsapi, axis_order)) @pytest.mark.array_compare(single_reference=True) @pytest.mark.parametrize(("wcsapi", "axis_order"), tuple(COMBINATIONS)) @pytest.mark.parametrize("roundtrip_coords", (False, True)) @pytest.mark.remote_data def test_reproject_celestial_3d_equ2gal(wcsapi, axis_order, roundtrip_coords): """ Test reprojection of a 3D cube with celestial components, which includes a coordinate system conversion (the original header is in equatorial coordinates). We test using both the 'fast' method which assumes celestial slices are independent, and the 'full' method. We also scramble the input dimensions of the data and header to make sure that the reprojection can deal with this. """ # Read in the input cube with fits.open( get_pkg_data_filename("data/equatorial_3d.fits", package="reproject.tests") ) as pf: hdu_in = pf[0] # Define the output header - this should be the same for all versions of # this test to make sure we can use a single reference file. header_out = hdu_in.header.copy() header_out["NAXIS1"] = 10 header_out["NAXIS2"] = 9 header_out["CTYPE1"] = "GLON-SIN" header_out["CTYPE2"] = "GLAT-SIN" header_out["CRVAL1"] = 163.16724 header_out["CRVAL2"] = -15.777405 header_out["CRPIX1"] = 6 header_out["CRPIX2"] = 5 # We now scramble the input axes if axis_order != (0, 1, 2): wcs_in = WCS(hdu_in.header) wcs_in = wcs_in.sub((3 - np.array(axis_order)[::-1]).tolist()) hdu_in.header = wcs_in.to_header() hdu_in.data = np.transpose(hdu_in.data, axis_order) if wcsapi: # Enforce a pure wcsapi API wcs_in, data_in = as_high_level_wcs(WCS(hdu_in.header)), hdu_in.data wcs_out = as_high_level_wcs(WCS(header_out)) shape_out = header_out["NAXIS3"], header_out["NAXIS2"], header_out["NAXIS1"] array_out, footprint_out = reproject_interp( (data_in, wcs_in), wcs_out, shape_out=shape_out, roundtrip_coords=roundtrip_coords ) else: array_out, footprint_out = reproject_interp( hdu_in, header_out, roundtrip_coords=roundtrip_coords ) return array_footprint_to_hdulist(array_out, footprint_out, header_out) @pytest.mark.array_compare(single_reference=True) @pytest.mark.parametrize("wcsapi", (False, True)) @pytest.mark.parametrize("roundtrip_coords", (False, True)) @pytest.mark.remote_data def test_small_cutout(wcsapi, roundtrip_coords): """ Test reprojection of a cutout from a larger image (makes sure that the pre-reprojection cropping works) """ with fits.open(get_pkg_data_filename("data/galactic_2d.fits", package="reproject.tests")) as pf: hdu_in = pf[0] header_out = hdu_in.header.copy() header_out["NAXIS1"] = 10 header_out["NAXIS2"] = 9 header_out["CTYPE1"] = "RA---TAN" header_out["CTYPE2"] = "DEC--TAN" header_out["CRVAL1"] = 266.39311 header_out["CRVAL2"] = -28.939779 header_out["CRPIX1"] = 5.1 header_out["CRPIX2"] = 4.7 if wcsapi: # Enforce a pure wcsapi API wcs_in, data_in = as_high_level_wcs(WCS(hdu_in.header)), hdu_in.data wcs_out = as_high_level_wcs(WCS(header_out)) shape_out = header_out["NAXIS2"], header_out["NAXIS1"] array_out, footprint_out = reproject_interp( (data_in, wcs_in), wcs_out, shape_out=shape_out, roundtrip_coords=roundtrip_coords ) else: array_out, footprint_out = reproject_interp( hdu_in, header_out, roundtrip_coords=roundtrip_coords ) return array_footprint_to_hdulist(array_out, footprint_out, header_out) @pytest.mark.parametrize("roundtrip_coords", (False, True)) @pytest.mark.remote_data def test_mwpan_car_to_mol(roundtrip_coords): """ Test reprojection of the Mellinger Milky Way Panorama from CAR to MOL, which was returning all NaNs due to a regression that was introduced in reproject 0.3 (https://github.com/astrofrog/reproject/pull/124). """ hdu_in = fits.Header.fromtextfile( get_pkg_data_filename("data/mwpan2_RGB_3600.hdr", package="reproject.tests") ) with pytest.warns(FITSFixedWarning): wcs_in = WCS(hdu_in, naxis=2) data_in = np.ones((hdu_in["NAXIS2"], hdu_in["NAXIS1"]), dtype=float) header_out = fits.Header() header_out["NAXIS"] = 2 header_out["NAXIS1"] = 360 header_out["NAXIS2"] = 180 header_out["CRPIX1"] = 180 header_out["CRPIX2"] = 90 header_out["CRVAL1"] = 0 header_out["CRVAL2"] = 0 header_out["CDELT1"] = -2 * np.sqrt(2) / np.pi header_out["CDELT2"] = 2 * np.sqrt(2) / np.pi header_out["CTYPE1"] = "GLON-MOL" header_out["CTYPE2"] = "GLAT-MOL" header_out["RADESYS"] = "ICRS" array_out, footprint_out = reproject_interp( (data_in, wcs_in), header_out, roundtrip_coords=roundtrip_coords ) assert np.isfinite(array_out).any() @pytest.mark.parametrize("roundtrip_coords", (False, True)) @pytest.mark.remote_data def test_small_cutout_outside(roundtrip_coords): """ Test reprojection of a cutout from a larger image - in this case the cutout is completely outside the region of the input image so we should take a shortcut that returns arrays of NaNs. """ with fits.open(get_pkg_data_filename("data/galactic_2d.fits", package="reproject.tests")) as pf: hdu_in = pf[0] header_out = hdu_in.header.copy() header_out["NAXIS1"] = 10 header_out["NAXIS2"] = 9 header_out["CTYPE1"] = "RA---TAN" header_out["CTYPE2"] = "DEC--TAN" header_out["CRVAL1"] = 216.39311 header_out["CRVAL2"] = -21.939779 header_out["CRPIX1"] = 5.1 header_out["CRPIX2"] = 4.7 array_out, footprint_out = reproject_interp( hdu_in, header_out, roundtrip_coords=roundtrip_coords ) assert np.all(np.isnan(array_out)) assert np.all(footprint_out == 0) @pytest.mark.parametrize("roundtrip_coords", (False, True)) @pytest.mark.remote_data def test_celestial_mismatch_2d(roundtrip_coords): """ Make sure an error is raised if the input image has celestial WCS information and the output does not (and vice-versa). This example will use the _reproject_celestial route. """ with fits.open(get_pkg_data_filename("data/galactic_2d.fits", package="reproject.tests")) as pf: hdu_in = pf[0] header_out = hdu_in.header.copy() header_out["CTYPE1"] = "APPLES" header_out["CTYPE2"] = "ORANGES" data = hdu_in.data wcs1 = WCS(hdu_in.header) wcs2 = WCS(header_out) with pytest.raises( ValueError, match="Input WCS has celestial components but output WCS does not" ): array_out, footprint_out = reproject_interp( (data, wcs1), wcs2, shape_out=(2, 2), roundtrip_coords=roundtrip_coords ) @pytest.mark.parametrize("roundtrip_coords", (False, True)) @pytest.mark.remote_data def test_celestial_mismatch_3d(roundtrip_coords): """ Make sure an error is raised if the input image has celestial WCS information and the output does not (and vice-versa). This example will use the _reproject_full route. """ with fits.open( get_pkg_data_filename("data/equatorial_3d.fits", package="reproject.tests") ) as pf: hdu_in = pf[0] header_out = hdu_in.header.copy() header_out["CTYPE1"] = "APPLES" header_out["CTYPE2"] = "ORANGES" header_out["CTYPE3"] = "BANANAS" data = hdu_in.data wcs1 = WCS(hdu_in.header) wcs2 = WCS(header_out) with pytest.raises( ValueError, match="Input WCS has celestial components but output WCS does not" ): array_out, footprint_out = reproject_interp( (data, wcs1), wcs2, shape_out=(1, 2, 3), roundtrip_coords=roundtrip_coords ) with pytest.raises( ValueError, match="Output WCS has celestial components but input WCS does not" ): array_out, footprint_out = reproject_interp( (data, wcs2), wcs1, shape_out=(1, 2, 3), roundtrip_coords=roundtrip_coords ) @pytest.mark.parametrize("roundtrip_coords", (False, True)) @pytest.mark.remote_data def test_spectral_mismatch_3d(roundtrip_coords): """ Make sure an error is raised if there are mismatches between the presence or type of spectral axis. """ with fits.open( get_pkg_data_filename("data/equatorial_3d.fits", package="reproject.tests") ) as pf: hdu_in = pf[0] header_out = hdu_in.header.copy() header_out["CTYPE3"] = "FREQ" header_out["CUNIT3"] = "Hz" data = hdu_in.data wcs1 = WCS(hdu_in.header) wcs2 = WCS(header_out) with pytest.raises( ValueError, match=r"The input \(VOPT\) and output \(FREQ\) spectral " r"coordinate types are not equivalent\.", ): array_out, footprint_out = reproject_interp( (data, wcs1), wcs2, shape_out=(1, 2, 3), roundtrip_coords=roundtrip_coords ) header_out["CTYPE3"] = "BANANAS" wcs2 = WCS(header_out) with pytest.raises( ValueError, match="Input WCS has a spectral component but output WCS does not" ): array_out, footprint_out = reproject_interp( (data, wcs1), wcs2, shape_out=(1, 2, 3), roundtrip_coords=roundtrip_coords ) with pytest.raises( ValueError, match="Output WCS has a spectral component but input WCS does not" ): array_out, footprint_out = reproject_interp( (data, wcs2), wcs1, shape_out=(1, 2, 3), roundtrip_coords=roundtrip_coords ) @pytest.mark.parametrize("roundtrip_coords", (False, True)) def test_naxis_mismatch(roundtrip_coords): """ Make sure an error is raised if the input and output WCS have a different number of dimensions. """ data = np.ones((3, 2, 2)) wcs_in = WCS(naxis=3) wcs_out = WCS(naxis=2) with pytest.raises( ValueError, match="Number of dimensions in input and output WCS should match" ): array_out, footprint_out = reproject_interp( (data, wcs_in), wcs_out, shape_out=(1, 2), roundtrip_coords=roundtrip_coords ) @pytest.mark.parametrize("roundtrip_coords", (False, True)) @pytest.mark.remote_data def test_slice_reprojection(roundtrip_coords): """ Test case where only the slices change and the celestial projection doesn't """ inp_cube = np.arange(3, dtype="float").repeat(4 * 5).reshape(3, 4, 5) header_in = fits.Header.fromtextfile( get_pkg_data_filename("data/cube.hdr", package="reproject.tests") ) header_in["NAXIS1"] = 5 header_in["NAXIS2"] = 4 header_in["NAXIS3"] = 3 header_out = header_in.copy() header_out["NAXIS3"] = 2 header_out["CRPIX3"] -= 0.5 wcs_in = WCS(header_in) wcs_out = WCS(header_out) out_cube, out_cube_valid = reproject_interp( (inp_cube, wcs_in), wcs_out, shape_out=(2, 4, 5), roundtrip_coords=roundtrip_coords ) # we expect to be projecting from # inp_cube = np.arange(3, dtype='float').repeat(4*5).reshape(3,4,5) # to # inp_cube_interp = (inp_cube[:-1]+inp_cube[1:])/2. # which is confirmed by # map_coordinates(inp_cube.astype('float'), new_coords, order=1, cval=np.nan, mode='constant') # np.testing.assert_allclose(inp_cube_interp, map_coordinates(inp_cube.astype('float'), # new_coords, order=1, cval=np.nan, mode='constant')) assert out_cube.shape == (2, 4, 5) assert out_cube_valid.sum() == 40.0 # We only check that the *valid* pixels are equal # but it's still nice to check that the "valid" array works as a mask np.testing.assert_allclose( out_cube[out_cube_valid.astype("bool")], ((inp_cube[:-1] + inp_cube[1:]) / 2.0)[out_cube_valid.astype("bool")], ) # Actually, I fixed it, so now we can test all np.testing.assert_allclose(out_cube, ((inp_cube[:-1] + inp_cube[1:]) / 2.0)) @pytest.mark.parametrize("roundtrip_coords", (False, True)) @pytest.mark.remote_data def test_inequal_wcs_dims(roundtrip_coords): inp_cube = np.arange(3, dtype="float").repeat(4 * 5).reshape(3, 4, 5) header_in = fits.Header.fromtextfile( get_pkg_data_filename("data/cube.hdr", package="reproject.tests") ) header_out = header_in.copy() header_out["CTYPE3"] = "VRAD" header_out["CUNIT3"] = "m/s" header_in["CTYPE3"] = "STOKES" header_in["CUNIT3"] = "" wcs_out = WCS(header_out) with pytest.raises( ValueError, match="Output WCS has a spectral component but input WCS does not" ): out_cube, out_cube_valid = reproject_interp( (inp_cube, header_in), wcs_out, shape_out=(2, 4, 5), roundtrip_coords=roundtrip_coords ) @pytest.mark.parametrize("roundtrip_coords", (False, True)) @pytest.mark.remote_data def test_different_wcs_types(roundtrip_coords): inp_cube = np.arange(3, dtype="float").repeat(4 * 5).reshape(3, 4, 5) header_in = fits.Header.fromtextfile( get_pkg_data_filename("data/cube.hdr", package="reproject.tests") ) header_out = header_in.copy() header_out["CTYPE3"] = "VRAD" header_out["CUNIT3"] = "m/s" header_in["CTYPE3"] = "VELO" header_in["CUNIT3"] = "m/s" wcs_out = WCS(header_out) with pytest.raises( ValueError, match=r"The input \(VELO\) and output \(VRAD\) spectral " r"coordinate types are not equivalent\.", ): out_cube, out_cube_valid = reproject_interp( (inp_cube, header_in), wcs_out, shape_out=(2, 4, 5), roundtrip_coords=roundtrip_coords ) # TODO: add a test to check the units are the same. @pytest.mark.parametrize("roundtrip_coords", (False, True)) @pytest.mark.remote_data def test_reproject_3d_celestial_correctness_ra2gal(roundtrip_coords): inp_cube = np.arange(3, dtype="float").repeat(7 * 8).reshape(3, 7, 8) header_in = fits.Header.fromtextfile( get_pkg_data_filename("data/cube.hdr", package="reproject.tests") ) header_in["NAXIS1"] = 8 header_in["NAXIS2"] = 7 header_in["NAXIS3"] = 3 header_out = header_in.copy() header_out["CTYPE1"] = "GLON-TAN" header_out["CTYPE2"] = "GLAT-TAN" header_out["CRVAL1"] = 158.5644791 header_out["CRVAL2"] = -21.59589875 # make the cube a cutout approximately in the center of the other one, but smaller header_out["NAXIS1"] = 4 header_out["CRPIX1"] = 2 header_out["NAXIS2"] = 3 header_out["CRPIX2"] = 1.5 header_out["NAXIS3"] = 2 header_out["CRPIX3"] -= 0.5 wcs_in = WCS(header_in) wcs_out = WCS(header_out) out_cube, out_cube_valid = reproject_interp( (inp_cube, wcs_in), wcs_out, shape_out=(2, 3, 4), roundtrip_coords=roundtrip_coords ) assert out_cube.shape == (2, 3, 4) assert out_cube_valid.sum() == out_cube.size # only compare the spectral axis np.testing.assert_allclose(out_cube[:, 0, 0], ((inp_cube[:-1] + inp_cube[1:]) / 2.0)[:, 0, 0]) @pytest.mark.parametrize("roundtrip_coords", (False, True)) @pytest.mark.remote_data def test_reproject_with_output_array(roundtrip_coords): """ Test both full_reproject and slicewise reprojection. We use a case where the non-celestial slices are the same and therefore where both algorithms can work. """ header_in = fits.Header.fromtextfile( get_pkg_data_filename("data/cube.hdr", package="reproject.tests") ) array_in = np.ones((3, 200, 180)) shape_out = (3, 160, 170) out_full = np.empty(shape_out) wcs_in = WCS(header_in) wcs_out = wcs_in.deepcopy() wcs_out.wcs.ctype = ["GLON-SIN", "GLAT-SIN", wcs_in.wcs.ctype[2]] wcs_out.wcs.crval = [158.0501, -21.530282, wcs_in.wcs.crval[2]] wcs_out.wcs.crpix = [50.0, 50.0, wcs_in.wcs.crpix[2] + 0.4] # TODO when someone learns how to do it: make sure the memory isn't duplicated... returned_array = reproject_interp( (array_in, wcs_in), wcs_out, output_array=out_full, return_footprint=False, roundtrip_coords=roundtrip_coords, ) assert out_full is returned_array @pytest.mark.array_compare(single_reference=True) @pytest.mark.remote_data def test_reproject_roundtrip(aia_test_data): # Test the reprojection with solar data, which ensures that the masking of # pixels based on round-tripping works correctly. Using asdf is not just # about testing a different format but making sure that GWCS works. pytest.importorskip("sunpy", minversion="6.0.1") data, wcs, target_wcs = aia_test_data output, footprint = reproject_interp((data, wcs), target_wcs, (128, 128)) header_out = target_wcs.to_header() header_out["DATE-OBS"] = header_out["DATE-OBS"].replace("T", " ") # With sunpy 6.0.0 and later, additional keyword arguments are written out # so we remove these as they are not important for the comparison with the # reference files. header_out.pop("DATE-AVG", None) header_out.pop("MJD-AVG", None) return array_footprint_to_hdulist(output, footprint, header_out) def test_reproject_roundtrip_kwarg(aia_test_data): # Make sure that the roundtrip_coords keyword argument has an effect. This # is a regression test for a bug that caused the keyword argument to be # ignored when in parallel/blocked mode. pytest.importorskip("sunpy", minversion="6.0.1") data, wcs, target_wcs = aia_test_data output_roundtrip_1 = reproject_interp( (data, wcs), target_wcs, shape_out=(128, 128), return_footprint=False, roundtrip_coords=True ) output_roundtrip_2 = reproject_interp( (data, wcs), target_wcs, shape_out=(128, 128), return_footprint=False, roundtrip_coords=True, block_size=(32, 32), ) assert_allclose(output_roundtrip_1, output_roundtrip_2) output_noroundtrip_1 = reproject_interp( (data, wcs), target_wcs, shape_out=(128, 128), return_footprint=False, roundtrip_coords=False, ) output_noroundtrip_2 = reproject_interp( (data, wcs), target_wcs, shape_out=(128, 128), return_footprint=False, roundtrip_coords=False, block_size=(32, 32), ) assert_allclose(output_noroundtrip_1, output_noroundtrip_2) # The array with round-tripping should have more NaN values: assert np.sum(np.isnan(output_roundtrip_1)) > 9500 assert np.sum(np.isnan(output_noroundtrip_1)) < 7000 @pytest.mark.parametrize("roundtrip_coords", (False, True)) @pytest.mark.remote_data def test_identity_with_offset(roundtrip_coords): # Reproject an array and WCS to itself but with a margin, which should # end up empty. This is a regression test for a bug that caused some # values to extend beyond the original footprint. wcs = WCS(naxis=2) wcs.wcs.ctype = "RA---TAN", "DEC--TAN" wcs.wcs.crpix = 322, 151 wcs.wcs.crval = 43, 23 wcs.wcs.cdelt = -0.1, 0.1 wcs.wcs.equinox = 2000.0 array_in = np.random.random((233, 123)) wcs_out = wcs.deepcopy() wcs_out.wcs.crpix += 1 shape_out = (array_in.shape[0] + 2, array_in.shape[1] + 2) array_out, footprint = reproject_interp( (array_in, wcs), wcs_out, shape_out=shape_out, roundtrip_coords=roundtrip_coords ) expected = np.pad(array_in, 1, "constant", constant_values=np.nan) assert_allclose(expected, array_out, atol=1e-10) def _setup_for_broadcast_test(): with fits.open(get_pkg_data_filename("data/galactic_2d.fits", package="reproject.tests")) as pf: hdu_in = pf[0] header_in = hdu_in.header.copy() header_out = hdu_in.header.copy() header_out["CTYPE1"] = "RA---TAN" header_out["CTYPE2"] = "DEC--TAN" header_out["CRVAL1"] = 266.39311 header_out["CRVAL2"] = -28.939779 data = hdu_in.data image_stack = np.stack((data, data.T, data[::-1], data[:, ::-1])) # Build the reference array through un-broadcast reprojections array_ref = np.empty_like(image_stack) footprint_ref = np.empty_like(image_stack) for i in range(len(image_stack)): array_out, footprint_out = reproject_interp((image_stack[i], header_in), header_out) array_ref[i] = array_out footprint_ref[i] = footprint_out return image_stack, array_ref, footprint_ref, header_in, header_out @pytest.mark.parametrize("input_extra_dims", (1, 2)) @pytest.mark.parametrize("output_shape", (None, "single", "full")) @pytest.mark.parametrize("input_as_wcs", (True, False)) @pytest.mark.parametrize("output_as_wcs", (True, False)) def test_broadcast_reprojection(input_extra_dims, output_shape, input_as_wcs, output_as_wcs): image_stack, array_ref, footprint_ref, header_in, header_out = _setup_for_broadcast_test() # Test both single and multiple dimensions being broadcast if input_extra_dims == 2: image_stack = image_stack.reshape((2, 2, *image_stack.shape[-2:])) array_ref.shape = image_stack.shape footprint_ref.shape = image_stack.shape # Test different ways of providing the output shape if output_shape == "single": # Have the broadcast dimensions be auto-added to the output shape output_shape = image_stack.shape[-2:] elif output_shape == "full": # Provide the broadcast dimensions as part of the output shape output_shape = image_stack.shape # Ensure logic works with WCS inputs as well as Header inputs if input_as_wcs: header_in = WCS(header_in) if output_as_wcs: header_out = WCS(header_out) if output_shape is None: # This combination of parameter values is not valid return array_broadcast, footprint_broadcast = reproject_interp( (image_stack, header_in), header_out, output_shape, ) np.testing.assert_array_equal(footprint_broadcast, footprint_ref) np.testing.assert_allclose(array_broadcast, array_ref) # In the tests below we ignore FITSFixedWarning due to: # https://github.com/astropy/astropy/pull/12844 @pytest.mark.parametrize("input_extra_dims", (1, 2)) @pytest.mark.parametrize("output_shape", (None, "single", "full")) @pytest.mark.parametrize("parallel", [True, False]) @pytest.mark.parametrize("header_or_wcs", (lambda x: x, WCS)) @pytest.mark.filterwarnings("ignore::astropy.wcs.wcs.FITSFixedWarning") def test_blocked_broadcast_reprojection(input_extra_dims, output_shape, parallel, header_or_wcs): image_stack, array_ref, footprint_ref, header_in, header_out = _setup_for_broadcast_test() # Test both single and multiple dimensions being broadcast if input_extra_dims == 2: image_stack = image_stack.reshape((2, 2, *image_stack.shape[-2:])) array_ref.shape = image_stack.shape footprint_ref.shape = image_stack.shape # Test different ways of providing the output shape if output_shape == "single": # Have the broadcast dimensions be auto-added to the output shape output_shape = image_stack.shape[-2:] elif output_shape == "full": # Provide the broadcast dimensions as part of the output shape output_shape = image_stack.shape # test different behavior when the output projection is a WCS header_out = header_or_wcs(header_out) array_broadcast, footprint_broadcast = reproject_interp( (image_stack, header_in), header_out, output_shape, parallel=parallel, block_size=[5, 5] ) np.testing.assert_array_equal(footprint_broadcast, footprint_ref) np.testing.assert_allclose(array_broadcast, array_ref) @pytest.mark.parametrize("parallel", [True, 2, False]) @pytest.mark.parametrize("block_size", [[500, 500], [500, 100], None]) @pytest.mark.parametrize("return_footprint", [False, True]) @pytest.mark.parametrize("existing_outputs", [False, True]) @pytest.mark.parametrize("header_or_wcs", (lambda x: x, WCS)) @pytest.mark.remote_data @pytest.mark.filterwarnings("ignore::astropy.wcs.wcs.FITSFixedWarning") def test_blocked_against_single( parallel, block_size, return_footprint, existing_outputs, header_or_wcs ): # Ensure when we break a reprojection down into multiple discrete blocks # it has the same result as if all pixels where reprejcted at once hdu1 = fits.open(get_pkg_data_filename("galactic_center/gc_2mass_k.fits"))[0] hdu2 = fits.open(get_pkg_data_filename("galactic_center/gc_msx_e.fits"))[0] array_test = None footprint_test = None shape_out = (720, 721) if existing_outputs: output_array_test = np.zeros(shape_out) output_footprint_test = np.zeros(shape_out) output_array_reference = np.zeros(shape_out) output_footprint_reference = np.zeros(shape_out) else: output_array_test = None output_footprint_test = None output_array_reference = None output_footprint_reference = None result_test = reproject_interp( hdu2, header_or_wcs(hdu1.header), parallel=parallel, block_size=block_size, return_footprint=return_footprint, output_array=output_array_test, output_footprint=output_footprint_test, ) result_reference = reproject_interp( hdu2, header_or_wcs(hdu1.header), parallel=False, block_size=None, return_footprint=return_footprint, output_array=output_array_reference, output_footprint=output_footprint_reference, ) if return_footprint: array_test, footprint_test = result_test array_reference, footprint_reference = result_reference else: array_test = result_test array_reference = result_reference if existing_outputs: assert array_test is output_array_test assert array_reference is output_array_reference if return_footprint: assert footprint_test is output_footprint_test assert footprint_reference is output_footprint_reference np.testing.assert_allclose(array_test, array_reference, equal_nan=True) if return_footprint: np.testing.assert_allclose(footprint_test, footprint_reference, equal_nan=True) def test_interp_input_output_types(valid_celestial_input_data, valid_celestial_output_projections): # Check that all valid input/output types work properly array_ref, wcs_in_ref, input_value, kwargs_in = valid_celestial_input_data wcs_out_ref, shape_ref, output_value, kwargs_out = valid_celestial_output_projections # Compute reference output_ref, footprint_ref = reproject_interp( (array_ref, wcs_in_ref), wcs_out_ref, shape_out=shape_ref ) # Compute test output_test, footprint_test = reproject_interp( input_value, output_value, **kwargs_in, **kwargs_out ) assert_allclose(output_ref, output_test) assert_allclose(footprint_ref, footprint_test) @pytest.mark.parametrize("block_size", [None, (32, 32)]) def test_reproject_order(block_size): # Check that the order keyword argument has an effect. This is a regression # test for a bug that caused the order= keyword argument to be ignored when # in parallel/blocked reprojection. with fits.open(get_pkg_data_filename("data/galactic_2d.fits", package="reproject.tests")) as pf: hdu_in = pf[0] header_out = hdu_in.header.copy() header_out["CTYPE1"] = "RA---TAN" header_out["CTYPE2"] = "DEC--TAN" header_out["CRVAL1"] = 266.39311 header_out["CRVAL2"] = -28.939779 array_out_bilinear = reproject_interp( hdu_in, header_out, return_footprint=False, order="bilinear", block_size=block_size, ) array_out_biquadratic = reproject_interp( hdu_in, header_out, return_footprint=False, order="biquadratic", block_size=block_size, ) with pytest.raises(AssertionError): assert_allclose(array_out_bilinear, array_out_biquadratic) def test_reproject_block_size_broadcasting(): # Regression test for a bug that caused the default chunk size to be # inadequate when using broadcasting in parallel mode array_in = np.ones((350, 250, 150)) wcs_in = WCS(naxis=2) wcs_out = WCS(naxis=2) reproject_interp( (array_in, wcs_in), wcs_out, shape_out=(300, 300), parallel=1, return_footprint=False, ) # Specifying a block size that is missing the extra dimension should work fine: reproject_interp( (array_in, wcs_in), wcs_out, shape_out=(300, 300), parallel=1, return_footprint=False, block_size=(100, 100), ) # Specifying a block size with the extra dimension should work provided it matches the final output shape reproject_interp( (array_in, wcs_in), wcs_out, shape_out=(300, 300), parallel=1, return_footprint=False, block_size=(350, 100, 100), ) # But it should fail if we specify a block size that is smaller that the total array shape with pytest.raises(ValueError, match="block shape for extra broadcasted dimensions"): reproject_interp( (array_in, wcs_in), wcs_out, shape_out=(300, 300), parallel=1, return_footprint=False, block_size=(100, 100, 100), ) def test_reproject_dask_return_type(): # Regression test for a bug that caused dask arrays to not be computable # when using return_type='dask' when the input was a dask array. array_in = da.ones((350, 250, 150)) wcs_in = WCS(naxis=2) wcs_out = WCS(naxis=2) result_numpy = reproject_interp( (array_in, wcs_in), wcs_out, shape_out=(300, 300), return_type="numpy", return_footprint=False, ) result_dask = reproject_interp( (array_in, wcs_in), wcs_out, shape_out=(300, 300), block_size=(100, 100), return_type="dask", return_footprint=False, ) assert_allclose(result_numpy, result_dask.compute(scheduler="synchronous")) def test_auto_block_size(): # Unit test to make sure that specifying block_size='auto' works array_in = da.ones((350, 250, 150)) wcs_in = WCS(naxis=2) wcs_out = WCS(naxis=2) # When block size and parallel aren't specified, can't return as dask arrays with pytest.raises(ValueError, match="Output cannot be returned as dask arrays"): reproject_interp( (array_in, wcs_in), wcs_out, shape_out=(300, 300), return_type="dask", ) array_out, footprint_out = reproject_interp( (array_in, wcs_in), wcs_out, shape_out=(300, 300), return_type="dask", block_size="auto", ) assert array_out.chunksize[0] == 350 assert footprint_out.chunksize[0] == 350 ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1731975823.5796382 reproject-0.14.1/reproject/mosaicking/0000755000175100001770000000000014716755220017331 5ustar00runnerdocker././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/mosaicking/__init__.py0000644000175100001770000000010014716755202021431 0ustar00runnerdockerfrom .coadd import * # noqa from .wcs_helpers import * # noqa ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/mosaicking/background.py0000644000175100001770000001141214716755202022021 0ustar00runnerdocker# Licensed under a 3-clause BSD style license - see LICENSE.rst from math import exp import numpy as np __all__ = ["solve_corrections_sgd", "determine_offset_matrix"] def determine_offset_matrix(arrays): """ Given a list of ReprojectedArraySubset, determine the offset matrix between all arrays. Parameters ---------- arrays : list The list of ReprojectedArraySubset objects to determine the offsets for. Returns ------- `numpy.ndarray` The offset matrix. """ N = len(arrays) # Set up matrix to record differences offset_matrix = np.ones((N, N)) * np.nan # Loop over all pairs of images and check for overlap for i1, array1 in enumerate(arrays): for i2, array2 in enumerate(arrays): if i2 <= i1: continue if array1.overlaps(array2): difference = array1 - array2 if np.any(difference.footprint): values = difference.array[difference.footprint] offset_matrix[i1, i2] = np.median(values) offset_matrix[i2, i1] = -offset_matrix[i1, i2] return offset_matrix def solve_corrections_sgd(offset_matrix, eta_initial=1, eta_half_life=100, rtol=1e-10, atol=0): r""" Given a matrix of offsets from each image to each other image, find the optimal offsets to use using Stochastic Gradient Descent. Given N images, we can construct an NxN matrix Oij giving the typical (e.g. mean, median, or other statistic) offset from each image to each other image. This can be a reasonably sparse matrix since not all images necessarily overlap. From this we then want to find a vector of N corrections Ci to apply to each image to minimize the differences. We do this by using the Stochastic Gradient Descent algorithm: https://en.wikipedia.org/wiki/Stochastic_gradient_descent Essentially what we are trying to minimize is the difference between Dij and a matrix of the same shape constructed from the Oi values. The learning rate is decreased using a decaying exponential: $$\eta = \eta_{\rm initial} * \exp{(-i/t_{\eta})}$$ Parameters ---------- offset_matrix : `~numpy.ndarray` The NxN matrix giving the offsets between all images (or NaN if an offset could not be determined). eta_initial : float The initial learning rate to use. eta_half_life : float The number of iterations after which the learning rate should be decreased by a factor $e$. rtol : float The relative tolerance to use to determine if the corrections have converged. atol : float The absolute tolerance to use to determine if the corrections have converged. Returns ------- `numpy.ndarray` The corrections for each frame. """ if offset_matrix.ndim != 2 or offset_matrix.shape[0] != offset_matrix.shape[1]: raise ValueError("offset_matrix should be a square NxN matrix") N = offset_matrix.shape[0] indices = np.arange(N) corrections = np.zeros(N) # Keep track of previous corrections to know whether the algorithm # has converged previous_corrections = None for iteration in range(int(eta_half_life * 10)): # Shuffle the indices to avoid cyclical behavior np.random.shuffle(indices) # Update learning rate eta = eta_initial * exp(-iteration / eta_half_life) # Loop over each index and update the offset. What we call rows and # columns is arbitrary, but for the purpose of the comments below, we # treat this as iterating over rows of the matrix. for i in indices: if np.isnan(corrections[i]): continue # Since the matrix might be sparse, we consider only columns which # are not NaN keep = ~np.isnan(offset_matrix[i, :]) # Compute the row of the offset matrix one would get with the # current offsets fitted_offset_matrix_row = corrections[i] - corrections[keep] # The difference between the actual row in the matrix and this # fitted row gives us a measure of the gradient, so we then # adjust the solution in that direction. corrections[i] += eta * np.mean(offset_matrix[i, keep] - fitted_offset_matrix_row) # Subtract the mean offset from the offsets to make sure that the # corrections stay centered around zero corrections -= np.nanmean(corrections) if previous_corrections is not None: if np.allclose(corrections, previous_corrections, rtol=rtol, atol=atol): break # the algorithm has converged previous_corrections = corrections.copy() return corrections ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/mosaicking/coadd.py0000644000175100001770000004702614716755202020766 0ustar00runnerdocker# Licensed under a 3-clause BSD style license - see LICENSE.rst import os import sys import tempfile import uuid from logging import getLogger import numpy as np from astropy.wcs import WCS from astropy.wcs.utils import pixel_to_pixel from astropy.wcs.wcsapi import SlicedLowLevelWCS from ..array_utils import iterate_chunks, sample_array_edges from ..utils import parse_input_data, parse_input_weights, parse_output_projection from .background import determine_offset_matrix, solve_corrections_sgd from .subset_array import ReprojectedArraySubset __all__ = ["reproject_and_coadd"] IS_WIN = sys.platform == "win32" def _noop(iterable): return iterable def reproject_and_coadd( input_data, output_projection, shape_out=None, input_weights=None, hdu_in=None, hdu_weights=None, reproject_function=None, combine_function="mean", match_background=False, background_reference=None, output_array=None, output_footprint=None, block_sizes=None, progress_bar=None, blank_pixel_value=0, intermediate_memmap=False, **kwargs, ): """ Given a set of input data, reproject and co-add these to a single final image. Parameters ---------- input_data : iterable One or more input datasets to reproject and co-add. This should be an iterable containing one entry for each dataset, where a single dataset is one of: * The name of a FITS file * An `~astropy.io.fits.HDUList` object * An image HDU object such as a `~astropy.io.fits.PrimaryHDU`, `~astropy.io.fits.ImageHDU`, or `~astropy.io.fits.CompImageHDU` instance * A tuple where the first element is an `~numpy.ndarray` and the second element is either a `~astropy.wcs.WCS` or a `~astropy.io.fits.Header` object * An `~astropy.nddata.NDData` object from which the ``.data`` and ``.wcs`` attributes will be used as the input data. output_projection : `~astropy.wcs.wcsapi.BaseLowLevelWCS` or `~astropy.wcs.wcsapi.BaseHighLevelWCS` or `~astropy.io.fits.Header` The output projection, which can be either a `~astropy.wcs.wcsapi.BaseLowLevelWCS`, `~astropy.wcs.wcsapi.BaseHighLevelWCS`, or a `~astropy.io.fits.Header` instance. shape_out : tuple, optional If ``output_projection`` is a WCS instance, the shape of the output data should be specified separately. input_weights : iterable If specified, this should be an iterable with the same length as ``input_data``, where each item is one of: * The name of a FITS file * An `~astropy.io.fits.HDUList` object * An image HDU object such as a `~astropy.io.fits.PrimaryHDU`, `~astropy.io.fits.ImageHDU`, or `~astropy.io.fits.CompImageHDU` instance * An `~numpy.ndarray` array hdu_in : int or str, optional If one or more items in ``input_data`` is a FITS file or an `~astropy.io.fits.HDUList` instance, specifies the HDU to use. hdu_weights : int or str, optional If one or more items in ``input_weights`` is a FITS file or an `~astropy.io.fits.HDUList` instance, specifies the HDU to use. reproject_function : callable The function to use for the reprojection. combine_function : { 'mean', 'sum', 'first', 'last', 'min', 'max' } The type of function to use for combining the values into the final image. For 'first' and 'last', respectively, the reprojected images are simply overlaid on top of each other. With respect to the order of the input images in ``input_data``, either the first or the last image to cover a region of overlap determines the output data for that region. match_background : bool Whether to match the backgrounds of the images. background_reference : `None` or `int` If `None`, the background matching will make it so that the average of the corrections for all images is zero. If an integer, this specifies the index of the image to use as a reference. output_array : array or None The final output array. Specify this if you already have an appropriately-shaped array to store the data in. Must match shape specified with ``shape_out`` or derived from the output projection. output_footprint : array or None The final output footprint array. Specify this if you already have an appropriately-shaped array to store the data in. Must match shape specified with ``shape_out`` or derived from the output projection. block_sizes : list of tuples or None The block size to use for each dataset. Could also be a single tuple if you want the sample block size for all data sets. progress_bar : callable, optional If specified, use this as a progress_bar to track loop iterations over data sets. blank_pixel_value : float, optional Value to use for areas of the resulting mosaic that do not have input data. intermediate_memmap : bool, optional If `True`, use `numpy.memmap` to store intermediate output arrays for reprojected data. **kwargs Keyword arguments to be passed to the reprojection function. Returns ------- array : `~numpy.ndarray` The co-added array. footprint : `~numpy.ndarray` Footprint of the co-added array. Values of 0 indicate no coverage or valid values in the input image, while values of 1 indicate valid values. """ # TODO: add support for saving intermediate files to disk to avoid blowing # up memory usage. We could probably still have references to array # objects, but we'd just make sure these were memory mapped logger = getLogger(__name__) # Validate inputs if combine_function not in ("mean", "sum", "first", "last", "min", "max"): raise ValueError("combine_function should be one of mean/sum/first/last/min/max") if reproject_function is None: raise ValueError( "reprojection function should be specified with the reproject_function argument" ) if progress_bar is None: progress_bar = _noop # Parse the output projection to avoid having to do it for each wcs_out, shape_out = parse_output_projection(output_projection, shape_out=shape_out) if output_array is None: output_array = np.zeros(shape_out) elif output_array.shape != shape_out: raise ValueError( "If you specify an output array, it must have a shape matching " f"the output shape {shape_out}" ) if output_footprint is None: output_footprint = np.zeros(shape_out) elif output_footprint.shape != shape_out: raise ValueError( "If you specify an output footprint array, it must have a shape matching " f"the output shape {shape_out}" ) logger.info(f"Output mosaic will have shape {shape_out}") # Define 'on-the-fly' mode: in the case where we don't need to match # the backgrounds and we are combining with 'mean' or 'sum', we don't # have to keep track of the intermediate arrays and can just modify # the output array on-the-fly on_the_fly = not match_background and combine_function in ("mean", "sum") on_the_fly_prefix = "Using" if on_the_fly else "Not using" logger.info( f"{on_the_fly_prefix} on-the-fly mode for adding individual reprojected images to output array" ) # Start off by reprojecting individual images to the final projection if not on_the_fly: arrays = [] with tempfile.TemporaryDirectory(ignore_cleanup_errors=IS_WIN) as local_tmp_dir: for idata in progress_bar(range(len(input_data))): logger.info(f"Processing input data {idata + 1} of {len(input_data)}") # We need to pre-parse the data here since we need to figure out how to # optimize/minimize the size of each output tile (see below). array_in, wcs_in = parse_input_data(input_data[idata], hdu_in=hdu_in) # We also get the weights map, if specified if input_weights is None: weights_in = None else: weights_in = parse_input_weights(input_weights[idata], hdu_weights=hdu_weights) if np.any(np.isnan(weights_in)): weights_in = np.nan_to_num(weights_in) # Since we might be reprojecting small images into a large mosaic we # want to make sure that for each image we reproject to an array with # minimal footprint. We therefore find the pixel coordinates of the # edges of the initial image and transform this to pixel coordinates in # the final image to figure out the final WCS and shape to reproject to # for each tile. We strike a balance between transforming only the # input-image corners, which is fast but can cause clipping in cases of # significant distortion (when the edges of the input image become # convex in the output projection), and transforming every edge pixel, # which provides a lot of redundant information. edges = sample_array_edges(array_in.shape, n_samples=11)[::-1] edges_out = pixel_to_pixel(wcs_in, wcs_out, *edges)[::-1] # Determine the cutout parameters # In some cases, images might not have valid coordinates in the corners, # such as all-sky images or full solar disk views. In this case we skip # this step and just use the full output WCS for reprojection. ndim_out = len(shape_out) skip_data = False if np.any(np.isnan(edges_out)): bounds = list(zip([0] * ndim_out, shape_out, strict=False)) else: bounds = [] for idim in range(ndim_out): imin = max(0, int(np.floor(edges_out[idim].min() + 0.5))) imax = min(shape_out[idim], int(np.ceil(edges_out[idim].max() + 0.5))) bounds.append((imin, imax)) if imax < imin: skip_data = True break if skip_data: logger.info( "Skipping reprojection as no predicted overlap with final mosaic header" ) continue slice_out = tuple([slice(imin, imax) for (imin, imax) in bounds]) if isinstance(wcs_out, WCS): wcs_out_indiv = wcs_out[slice_out] else: wcs_out_indiv = SlicedLowLevelWCS(wcs_out.low_level_wcs, slice_out) shape_out_indiv = tuple([imax - imin for (imin, imax) in bounds]) if block_sizes is not None: if len(block_sizes) == len(input_data) and len(block_sizes[idata]) == len( shape_out ): kwargs["block_size"] = block_sizes[idata] else: kwargs["block_size"] = block_sizes # TODO: optimize handling of weights by making reprojection functions # able to handle weights, and make the footprint become the combined # footprint + weight map if intermediate_memmap: array_path = os.path.join(local_tmp_dir, f"array_{uuid.uuid4()}.np") logger.info( f"Creating memory-mapped array with shape {shape_out_indiv} at {array_path}" ) array = np.memmap( array_path, shape=shape_out_indiv, mode="w+", dtype=array_in.dtype, ) footprint_path = os.path.join(local_tmp_dir, f"footprint_{uuid.uuid4()}.np") logger.info( f"Creating memory-mapped footprint with shape {shape_out_indiv} at {footprint_path}" ) footprint = np.memmap( footprint_path, shape=shape_out_indiv, mode="w+", dtype=float, ) else: array = footprint = None logger.info(f"Calling {reproject_function.__name__} with shape_out={shape_out_indiv}") array, footprint = reproject_function( (array_in, wcs_in), output_projection=wcs_out_indiv, shape_out=shape_out_indiv, hdu_in=hdu_in, output_array=array, output_footprint=footprint, **kwargs, ) if weights_in is not None: if intermediate_memmap: weights_path = os.path.join(local_tmp_dir, f"weights_{uuid.uuid4()}.np") logger.info( f"Creating memory-mapped weights with shape {shape_out_indiv} at {weights_path}" ) weights = np.memmap( weights_path, shape=shape_out_indiv, mode="w+", dtype=float, ) else: weights = None logger.info( f"Calling {reproject_function.__name__} with shape_out={shape_out_indiv} for weights" ) weights = reproject_function( (weights_in, wcs_in), output_projection=wcs_out_indiv, shape_out=shape_out_indiv, hdu_in=hdu_in, output_array=weights, return_footprint=False, **kwargs, ) # For the purposes of mosaicking, we mask out NaN values from the array # and set the footprint to 0 at these locations. reset = np.isnan(array) array[reset] = 0.0 footprint[reset] = 0.0 # Combine weights and footprint if weights_in is not None: weights[reset] = 0.0 footprint *= weights if intermediate_memmap: # Remove the reference to the memmap before trying to remove the file itself logger.info(f"Removing memory-mapped weight array") weights = None try: os.remove(weights_path) except PermissionError: pass array = ReprojectedArraySubset(array, footprint, bounds) # TODO: make sure we gracefully handle the case where the # output image is empty (due e.g. to no overlap). if on_the_fly: logger.info(f"Adding reprojected array to final array") # By default, values outside of the footprint are set to NaN # but we set these to 0 here to avoid getting NaNs in the # means/sums. array.array[array.footprint == 0] = 0 output_footprint[array.view_in_original_array] += array.footprint # We now need to do output[view] += array * footprint but to avoid # the temporary array allocation from array * footprint we modify # array inplace, which we can do as the array will be discarded at # the end of the loop. array.array *= array.footprint output_array[array.view_in_original_array] += array.array if intermediate_memmap: # Remove the references to the memmaps themesleves before # trying to remove the files thermselves. logger.info(f"Removing memory-mapped array and footprint arrays") array = None footprint = None try: os.remove(array_path) os.remove(footprint_path) except PermissionError: pass else: logger.info(f"Adding reprojected array to list to combine later") arrays.append(array) # If requested, try and match the backgrounds. if match_background and len(arrays) > 1: logger.info(f"Match backgrounds") offset_matrix = determine_offset_matrix(arrays) corrections = solve_corrections_sgd(offset_matrix) if background_reference: corrections -= corrections[background_reference] for array, correction in zip(arrays, corrections, strict=True): array.array -= correction if combine_function in ("mean", "sum"): if match_background: logger.info(f"Combining reprojected arrays with function {combine_function}") # if we're not matching the background, this part has already been done for array in arrays: # By default, values outside of the footprint are set to NaN # but we set these to 0 here to avoid getting NaNs in the # means/sums. array.array[array.footprint == 0] = 0 output_array[array.view_in_original_array] += array.array * array.footprint output_footprint[array.view_in_original_array] += array.footprint if combine_function == "mean": logger.info(f"Handle normalization of output array") with np.errstate(invalid="ignore"): output_array /= output_footprint elif combine_function in ("first", "last", "min", "max"): logger.info(f"Combining reprojected arrays with function {combine_function}") if combine_function == "min": output_array[...] = np.inf elif combine_function == "max": output_array[...] = -np.inf for array in arrays: if combine_function == "first": mask = output_footprint[array.view_in_original_array] == 0 elif combine_function == "last": mask = array.footprint > 0 elif combine_function == "min": mask = (array.footprint > 0) & ( array.array < output_array[array.view_in_original_array] ) elif combine_function == "max": mask = (array.footprint > 0) & ( array.array > output_array[array.view_in_original_array] ) output_footprint[array.view_in_original_array] = np.where( mask, array.footprint, output_footprint[array.view_in_original_array] ) output_array[array.view_in_original_array] = np.where( mask, array.array, output_array[array.view_in_original_array] ) # Avoid keeping any references to the memory-mapped arrays so that the # files get cleaned up once we exit the context manager. if intermediate_memmap: array = None footprint = None arrays = [] # We need to avoid potentially large memory allocation from output == 0 so # we operate in chunks. logger.info(f"Resetting invalid pixels to {blank_pixel_value}") for chunk in iterate_chunks(output_array.shape, max_chunk_size=256 * 1024**2): output_array[chunk][output_footprint[chunk] == 0] = blank_pixel_value return output_array, output_footprint ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/mosaicking/subset_array.py0000644000175100001770000000675214716755202022420 0ustar00runnerdocker# Licensed under a 3-clause BSD style license - see LICENSE.rst import operator __all__ = ["ReprojectedArraySubset"] class ReprojectedArraySubset: # The aim of this class is to represent a subset of an array and # footprint extracted (or meant to represent extracted) versions # from larger arrays and footprints. # NOTE: we can't use Cutout2D here because it's much more convenient # to work with position being the lower left corner of the cutout # rather than the center, which is not well defined for even-sized # cutouts. def __init__(self, array, footprint, bounds): self.array = array self.footprint = footprint self.bounds = bounds def __repr__(self): bounds_str = "[" + ",".join(f"{imin}:{imax}" for (imin, imax) in self.bounds) + "]" return f"" @property def view_in_original_array(self): return tuple([slice(imin, imax) for (imin, imax) in self.bounds]) @property def shape(self): return tuple((imax - imin) for (imin, imax) in self.bounds) def overlaps(self, other): # Note that the use of <= or >= instead of < and > is due to # the fact that the max values are exclusive (so +1 above the # last value). if len(self.bounds) != len(other.bounds): raise ValueError( f"Mismatch in number of dimensions, expected " f"{len(self.bounds)} dimensions and got {len(other.bounds)}" ) for (imin, imax), (imin_other, imax_other) in zip(self.bounds, other.bounds, strict=False): if imax <= imin_other or imax_other <= imin: return False return True def __add__(self, other): return self._operation(other, operator.add) def __sub__(self, other): return self._operation(other, operator.sub) def __mul__(self, other): return self._operation(other, operator.mul) def __truediv__(self, other): return self._operation(other, operator.truediv) def _operation(self, other, op): if len(self.bounds) != len(other.bounds): raise ValueError( f"Mismatch in number of dimensions, expected " f"{len(self.bounds)} dimensions and got {len(other.bounds)}" ) # Determine cutout parameters for overlap region overlap_bounds = [] self_slices = [] other_slices = [] for (imin, imax), (imin_other, imax_other) in zip(self.bounds, other.bounds, strict=False): imin_overlap = max(imin, imin_other) imax_overlap = min(imax, imax_other) if imax_overlap < imin_overlap: imax_overlap = imin_overlap overlap_bounds.append((imin_overlap, imax_overlap)) self_slices.append(slice(imin_overlap - imin, imax_overlap - imin)) other_slices.append(slice(imin_overlap - imin_other, imax_overlap - imin_other)) self_slices = tuple(self_slices) self_array = self.array[self_slices] self_footprint = self.footprint[self_slices] other_slices = tuple(other_slices) other_array = other.array[other_slices] other_footprint = other.footprint[other_slices] # Carry out operator and store result in ReprojectedArraySubset array = op(self_array, other_array) footprint = (self_footprint > 0) & (other_footprint > 0) return ReprojectedArraySubset(array, footprint, overlap_bounds) ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1731975823.5796382 reproject-0.14.1/reproject/mosaicking/tests/0000755000175100001770000000000014716755220020473 5ustar00runnerdocker././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/mosaicking/tests/__init__.py0000644000175100001770000000000014716755202022572 0ustar00runnerdocker././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1731975823.5796382 reproject-0.14.1/reproject/mosaicking/tests/reference/0000755000175100001770000000000014716755220022431 5ustar00runnerdocker././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/mosaicking/tests/reference/test_coadd_solar_map.fits0000644000175100001770000100540014716755202027466 0ustar00runnerdockerSIMPLE = T / conforms to FITS standard BITPIX = -64 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 180 NAXIS2 = 90 EXTEND = T WCSAXES = 2 / Number of coordinate axes CRPIX1 = 90.5 / Pixel coordinate of reference point CRPIX2 = 45.5 / Pixel coordinate of reference point CDELT1 = 2.0 / [deg] Coordinate increment at reference point CDELT2 = 2.0 / [deg] Coordinate increment at reference point CUNIT1 = 'deg' / Units of coordinate increment and value CUNIT2 = 'deg' / Units of coordinate increment and value CTYPE1 = 'HGLN-CAR' / Coordinate type codeplate caree projection CTYPE2 = 'HGLT-CAR' / Coordinate type codeplate caree projection CRVAL1 = 0.0 / [deg] Coordinate value at reference point CRVAL2 = 0.0 / [deg] Coordinate value at reference point LONPOLE = 0.0 / [deg] Native longitude of celestial pole LATPOLE = 90.0 / [deg] 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number of array dimensions NAXIS1 = 180 NAXIS2 = 90 PCOUNT = 0 / number of parameters GCOUNT = 1 / number of groups WCSAXES = 2 / Number of coordinate axes CRPIX1 = 90.5 / Pixel coordinate of reference point CRPIX2 = 45.5 / Pixel coordinate of reference point CDELT1 = 2.0 / [deg] Coordinate increment at reference point CDELT2 = 2.0 / [deg] Coordinate increment at reference point CUNIT1 = 'deg' / Units of coordinate increment and value CUNIT2 = 'deg' / Units of coordinate increment and value CTYPE1 = 'HGLN-CAR' / Coordinate type codeplate caree projection CTYPE2 = 'HGLT-CAR' / Coordinate type codeplate caree projection CRVAL1 = 0.0 / [deg] Coordinate value at reference point CRVAL2 = 0.0 / [deg] Coordinate value at reference point LONPOLE = 0.0 / [deg] Native longitude of celestial pole LATPOLE = 90.0 / [deg] Native latitude of celestial pole MJDREF = 0.0 / [d] MJD of fiducial time DATE-OBS= '2011-02-15T00:14:03.654' / ISO-8601 time of observation MJD-OBS = 55607.009764514 / [d] MJD of 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see LICENSE.rst import numpy as np import pytest from numpy.testing import assert_allclose from ..background import solve_corrections_sgd # Try and cover a range of matrix sizes and absolute scales of corrections CASES = [(4, 1.0), (33, 1e30), (44, 1e-50), (132, 1e10), (1441, 1e-5)] @pytest.mark.parametrize(("N", "scale"), CASES) def test_solve_corrections_sgd(N, scale): # Generate random corrections expected = np.random.uniform(-scale, scale, N) # Generate offsets matrix offset_matrix = expected[:, np.newaxis] - expected[np.newaxis, :] # Add some NaN values offset_matrix[1, 2] = np.nan # Determine corrections actual = solve_corrections_sgd(offset_matrix) # Compare the mean-subtracted corrections since there might be an # arbitrary offset assert_allclose(actual - np.mean(actual), expected - np.mean(expected)) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/mosaicking/tests/test_coadd.py0000644000175100001770000003431414716755202023163 0ustar00runnerdocker# Licensed under a 3-clause BSD style license - see LICENSE.rst import os import random import numpy as np import pytest from astropy.io import fits from astropy.io.fits import Header from astropy.wcs import WCS from numpy.testing import assert_allclose from reproject import reproject_exact, reproject_interp from reproject.mosaicking.coadd import reproject_and_coadd from reproject.tests.helpers import array_footprint_to_hdulist ATOL = 1.0e-9 DATA = os.path.join(os.path.dirname(__file__), "..", "..", "tests", "data") @pytest.fixture(params=[reproject_interp, reproject_exact], ids=["interp", "exact"]) def reproject_function(request): return request.param @pytest.fixture(params=[False, True]) def intermediate_memmap(request): return request.param class TestReprojectAndCoAdd: def setup_method(self, method): self.wcs = WCS(naxis=2) self.wcs.wcs.ctype = "RA---TAN", "DEC--TAN" self.wcs.wcs.crpix = 322, 151 self.wcs.wcs.crval = 43, 23 self.wcs.wcs.cdelt = -0.1, 0.1 self.wcs.wcs.equinox = 2000.0 self.array = np.random.random((399, 334)) def _get_tiles(self, views): # Given a list of views as (imin, imax, jmin, jmax), construct # tiles that can be passed into the co-adding code input_data = [] for view in views: array = self.array[view].copy() wcs = self.wcs.deepcopy() wcs = wcs[view] input_data.append((array, wcs)) return input_data @property def _nonoverlapping_views(self): ie = (0, 122, 233, 245, 334) je = (0, 44, 45, 333, 335, 399) views = [] for i in range(4): for j in range(5): views.append(np.s_[je[j] : je[j + 1], ie[i] : ie[i + 1]]) return views @property def _overlapping_views(self): ie = (0, 122, 233, 245, 334) je = (0, 44, 45, 333, 335, 399) views = [] for i in range(4): for j in range(5): views.append(np.s_[je[j] : je[j + 1] + 10, ie[i] : ie[i + 1] + 10]) return views @pytest.mark.parametrize("combine_function", ["mean", "sum", "first", "last"]) def test_coadd_no_overlap(self, combine_function, reproject_function, intermediate_memmap): # Make sure that if all tiles are exactly non-overlapping, and # we use 'sum' or 'mean', we get the exact input array back. input_data = self._get_tiles(self._nonoverlapping_views) array, footprint = reproject_and_coadd( input_data, self.wcs, shape_out=self.array.shape, combine_function=combine_function, reproject_function=reproject_function, ) assert_allclose(array, self.array, atol=ATOL) assert_allclose(footprint, 1, atol=ATOL) def test_coadd_with_overlap(self, reproject_function, intermediate_memmap): # Here we make the input tiles overlapping. We can only check the # mean, not the sum. input_data = self._get_tiles(self._overlapping_views) array, footprint = reproject_and_coadd( input_data, self.wcs, shape_out=self.array.shape, combine_function="mean", reproject_function=reproject_function, ) assert_allclose(array, self.array, atol=ATOL) def test_coadd_with_outputs(self, tmp_path, reproject_function, intermediate_memmap): # Test the options to specify output array/footprint input_data = self._get_tiles(self._overlapping_views) output_array = np.memmap( tmp_path / "array.np", mode="w+", dtype=float, shape=self.array.shape ) output_footprint = np.memmap( tmp_path / "footprint.np", mode="w+", dtype=float, shape=self.array.shape ) array, footprint = reproject_and_coadd( input_data, self.wcs, shape_out=self.array.shape, combine_function="mean", reproject_function=reproject_function, output_array=output_array, output_footprint=output_footprint, ) assert_allclose(output_array, self.array, atol=ATOL) assert_allclose(output_footprint, footprint, atol=ATOL) @pytest.mark.parametrize("combine_function", ["first", "last", "min", "max"]) def test_coadd_with_overlap_first_last(self, reproject_function, combine_function): views = self._overlapping_views input_data = self._get_tiles(views) # Make each of the overlapping tiles different for i, (array, wcs) in enumerate(input_data): # We give each tile integer values that range from 0 to 19 but we # deliberately don't make the first one 0 and the last one 19 so # that min/max differs from first/last. input_data[i] = (np.full_like(array, (i + 7) % 20), wcs) array, footprint = reproject_and_coadd( input_data, self.wcs, shape_out=self.array.shape, combine_function=combine_function, reproject_function=reproject_function, ) # Test that either the correct tile sets the output value in the overlap regions test_sequence = list(enumerate(views)) if combine_function == "last": test_sequence = test_sequence[::-1] elif combine_function == "min": test_sequence = test_sequence[13:] + test_sequence[:13] elif combine_function == "max": test_sequence = (test_sequence[13:] + test_sequence[:13])[::-1] for i, view in test_sequence: # Each tile in test_sequence should overwrite the following tiles # in the overlap regions. We'll use NaNs to mark pixels in the # output array that have already been set by a preceding tile, so # we'll go through, check that each tile matches the non-nan pixels # in its region, and then set that whole region to nan. output_tile = array[view] output_values = output_tile[np.isfinite(output_tile)] assert_allclose(output_values, (i + 7) % 20) array[view] = np.nan def test_coadd_background_matching(self, reproject_function, intermediate_memmap): # Test out the background matching input_data = self._get_tiles(self._overlapping_views) for array, _ in input_data: array += random.uniform(-3, 3) # First check that without background matching the arrays don't match array, footprint = reproject_and_coadd( input_data, self.wcs, shape_out=self.array.shape, combine_function="mean", reproject_function=reproject_function, ) assert not np.allclose(array, self.array, atol=ATOL) # Now check that once the backgrounds are matched the values agree array, footprint = reproject_and_coadd( input_data, self.wcs, shape_out=self.array.shape, combine_function="mean", reproject_function=reproject_function, match_background=True, ) # The absolute values of the two arrays will be offset since any # solution that reproduces the offsets between images is valid assert_allclose(array - np.mean(array), self.array - np.mean(self.array), atol=ATOL) def test_coadd_background_matching_one_array(self, reproject_function, intermediate_memmap): # Test that background matching doesn't affect the output when there's # only one input image. input_data = [(self.array, self.wcs)] array_matched, footprint_matched = reproject_and_coadd( input_data, self.wcs, shape_out=self.array.shape, combine_function="mean", reproject_function=reproject_function, match_background=True, ) array, footprint = reproject_and_coadd( input_data, self.wcs, shape_out=self.array.shape, combine_function="mean", reproject_function=reproject_function, match_background=False, ) np.testing.assert_allclose(array, array_matched) np.testing.assert_allclose(footprint, footprint_matched) @pytest.mark.parametrize("combine_function", ["first", "last", "min", "max", "sum", "mean"]) @pytest.mark.parametrize("match_background", [True, False]) def test_footprint_correct(self, reproject_function, combine_function, match_background): # Test that the output array is zero outside the returned footprint # We're running this test over a somewhat large grid of parameters, so # cut down the array size to avoid increasing the total test runtime # too much. slice = np.s_[::3, ::3] wcs1 = self.wcs[slice] wcs2 = self.wcs.deepcopy() # Add a 45-degree rotation wcs2.wcs.pc = np.array([[0.5, -0.5], [0.5, 0.5]]) wcs_out = wcs1.deepcopy() # Expand the output WCS to go beyond the input images wcs_out.wcs.cdelt = 2 * wcs1.wcs.cdelt[0], 2 * wcs1.wcs.cdelt[1] # Ensure the input data is fully non-zero, so we can tell where data # got projected to in the output image. array1 = np.full_like(self.array[slice], 2) array2 = array1 + 5 array, footprint = reproject_and_coadd( [(array1, wcs1), (array2, wcs2)], wcs_out, shape_out=self.array.shape, combine_function=combine_function, reproject_function=reproject_function, match_background=match_background, ) assert np.all((array != 0) == (footprint > 0)) def test_coadd_background_matching_with_nan(self, reproject_function, intermediate_memmap): # Test out the background matching when NaN values are present. We do # this by using three arrays with the same footprint but with different # parts masked. array1 = self.array.copy() + random.uniform(-3, 3) array2 = self.array.copy() + random.uniform(-3, 3) array3 = self.array.copy() + random.uniform(-3, 3) array1[:, 122:] = np.nan array2[:, :50] = np.nan array2[:, 266:] = np.nan array3[:, :199] = np.nan input_data = [(array1, self.wcs), (array2, self.wcs), (array3, self.wcs)] array, footprint = reproject_and_coadd( input_data, self.wcs, shape_out=self.array.shape, combine_function="mean", reproject_function=reproject_function, match_background=True, ) # The absolute values of the two arrays will be offset since any # solution that reproduces the offsets between images is valid assert_allclose(array - np.mean(array), self.array - np.mean(self.array), atol=ATOL) @pytest.mark.filterwarnings("ignore:unclosed file:ResourceWarning") @pytest.mark.parametrize("mode", ["arrays", "filenames", "hdus"]) def test_coadd_with_weights(self, tmpdir, reproject_function, mode, intermediate_memmap): # Make sure that things work properly when specifying weights array1 = self.array + 1 array2 = self.array - 1 weight1 = np.cumsum(np.ones_like(self.array), axis=1) - 1 weight2 = weight1[:, ::-1] input_data = [(array1, self.wcs), (array2, self.wcs)] if mode == "arrays": input_weights = [weight1, weight2] elif mode == "filenames": filename1 = tmpdir.join("weight1.fits").strpath filename2 = tmpdir.join("weight2.fits").strpath fits.writeto(filename1, weight1) fits.writeto(filename2, weight2) input_weights = [filename1, filename2] elif mode == "hdus": hdu1 = fits.ImageHDU(weight1) hdu2 = fits.ImageHDU(weight2) input_weights = [hdu1, hdu2] array, footprint = reproject_and_coadd( input_data, self.wcs, shape_out=self.array.shape, combine_function="mean", input_weights=input_weights, reproject_function=reproject_function, match_background=False, ) expected = self.array + (2 * (weight1 / weight1.max()) - 1) assert_allclose(array, expected, atol=ATOL) HEADER_SOLAR_OUT = """ WCSAXES = 2 CRPIX1 = 90.5 CRPIX2 = 45.5 CDELT1 = 2 CDELT2 = 2 CUNIT1 = 'deg' CUNIT2 = 'deg' CTYPE1 = 'HGLN-CAR' CTYPE2 = 'HGLT-CAR' CRVAL1 = 0.0 CRVAL2 = 0.0 LONPOLE = 0.0 LATPOLE = 90.0 DATE-OBS= '2011-02-15T00:14:03.654' MJD-OBS = 55607.009764514 MJD-OBS = 55607.009764514 """ @pytest.mark.array_compare() def test_coadd_solar_map(): # This is a test that exercises a lot of different parts of the mosaicking # code. The idea is to take three solar images from different viewpoints # and combine them into a single one. This uses weight maps that are not # uniform and also include NaN values. pytest.importorskip("sunpy", minversion="6.0.1") from sunpy.map import Map, all_coordinates_from_map # Load in three images from different viewpoints around the Sun filenames = ["secchi_l0_a.fits", "aia_171_level1.fits", "secchi_l0_b.fits"] maps = [Map(os.path.join(DATA, f)) for f in filenames] # Produce weight maps that are centered on the solar disk and go to zero at the edges coordinates = tuple(map(all_coordinates_from_map, maps)) input_weights = [coord.transform_to("heliocentric").z.value for coord in coordinates] input_weights = [(w / np.nanmax(w)) ** 4 for w in input_weights] shape_out = [90, 180] wcs_out = WCS(Header.fromstring(HEADER_SOLAR_OUT, sep="\n")) scales = [1 / 6, 1, 1 / 6] input_data = tuple((a.data * scale, a.wcs) for (a, scale) in zip(maps, scales, strict=True)) array, footprint = reproject_and_coadd( input_data, wcs_out, shape_out, input_weights=input_weights, reproject_function=reproject_interp, match_background=True, ) header_out = wcs_out.to_header() return array_footprint_to_hdulist(array, footprint, header_out) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/mosaicking/tests/test_subset_array.py0000644000175100001770000000642514716755202024616 0ustar00runnerdocker# Licensed under a 3-clause BSD style license - see LICENSE.rst import operator import numpy as np import pytest from numpy.testing import assert_equal from ..subset_array import ReprojectedArraySubset class TestReprojectedArraySubset: def setup_method(self, method): self.array1 = np.random.random((123, 87)) self.array2 = np.random.random((123, 87)) self.array3 = np.random.random((123, 87)) self.array4 = np.random.random((123, 87, 16)) self.footprint1 = (self.array1 > 0.5).astype(int) self.footprint2 = (self.array2 > 0.5).astype(int) self.footprint3 = (self.array3 > 0.5).astype(int) self.footprint4 = (self.array4 > 0.5).astype(int) self.subset1 = ReprojectedArraySubset( self.array1[20:88, 34:40], self.footprint1[20:88, 34:40], [(20, 88), (34, 40)], ) self.subset2 = ReprojectedArraySubset( self.array2[50:123, 37:42], self.footprint2[50:123, 37:42], [(50, 123), (37, 42)], ) self.subset3 = ReprojectedArraySubset( self.array3[40:50, 11:19], self.footprint3[40:50, 11:19], [(40, 50), (11, 19)], ) self.subset4 = ReprojectedArraySubset( self.array4[30:35, 40:45, 1:4], self.footprint4[30:35, 40:45, 1:4], [(30, 35), (40, 45), (1, 4)], ) def test_repr(self): assert repr(self.subset1) == "" def test_view_in_original_array(self): assert_equal(self.array1[self.subset1.view_in_original_array], self.subset1.array) assert_equal(self.footprint1[self.subset1.view_in_original_array], self.subset1.footprint) def test_shape(self): assert self.subset1.shape == (68, 6) def test_overlaps(self): assert self.subset1.overlaps(self.subset1) assert self.subset1.overlaps(self.subset2) assert not self.subset1.overlaps(self.subset3) assert self.subset2.overlaps(self.subset1) assert self.subset2.overlaps(self.subset2) assert not self.subset2.overlaps(self.subset3) assert not self.subset3.overlaps(self.subset1) assert not self.subset3.overlaps(self.subset2) assert self.subset3.overlaps(self.subset3) @pytest.mark.parametrize("op", [operator.add, operator.sub, operator.mul, operator.truediv]) def test_arithmetic(self, op): subset = op(self.subset1, self.subset2) assert subset.bounds == [(50, 88), (37, 40)] expected = op(self.array1[50:88, 37:40], self.array2[50:88, 37:40]) assert_equal(subset.array, expected) def test_arithmetic_nooverlap(self): subset = self.subset1 - self.subset3 assert subset.bounds == [(40, 50), (34, 34)] assert subset.shape == (10, 0) def test_overlaps_dimension_mismatch(self): with pytest.raises( ValueError, match=("Mismatch in number of dimensions, expected 2 dimensions and got 3") ): self.subset1.overlaps(self.subset4) def test_arithmetic_dimension_mismatch(self): with pytest.raises( ValueError, match=("Mismatch in number of dimensions, expected 2 dimensions and got 3") ): self.subset1 - self.subset4 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/mosaicking/tests/test_wcs_helpers.py0000644000175100001770000003066714716755202024436 0ustar00runnerdocker# Licensed under a 3-clause BSD style license - see LICENSE.rst import numpy as np import pytest from astropy import units as u from astropy.coordinates import FK5, Galactic, SkyCoord from astropy.io import fits from astropy.wcs import WCS from astropy.wcs.wcsapi import BaseHighLevelWCS, BaseLowLevelWCS, HighLevelWCSWrapper from numpy.testing import assert_allclose, assert_equal from reproject.tests.helpers import assert_wcs_allclose from ..wcs_helpers import find_optimal_celestial_wcs try: import shapely # noqa except ImportError: SHAPELY_INSTALLED = False else: SHAPELY_INSTALLED = True class BaseTestOptimalWCS: def setup_method(self, method): self.wcs = self.generate_wcs() self.array = np.ones((30, 40)) def test_identity(self): wcs, shape = find_optimal_celestial_wcs([(self.array, self.wcs)], frame=FK5()) assert tuple(wcs.wcs.ctype) == ("RA---TAN", "DEC--TAN") assert_allclose(wcs.wcs.crval, (43, 23), atol=self.crval_atol) assert_allclose(wcs.wcs.cdelt, (-0.1, 0.1), rtol=self.cdelt_rtol) assert wcs.wcs.equinox == 2000 assert wcs.wcs.radesys == "FK5" assert_allclose(wcs.wcs.crpix, self.identity_expected_crpix) assert shape == (30, 40) def test_args_tuple_wcs(self): wcs, shape = find_optimal_celestial_wcs([(self.array.shape, self.wcs)], frame=FK5()) def test_args_tuple_header(self): wcs, shape = find_optimal_celestial_wcs( [(self.array.shape, self.wcs.to_header())], frame=FK5() ) def test_frame_projection(self): wcs, shape = find_optimal_celestial_wcs( [(self.array, self.wcs)], frame=Galactic(), projection="CAR" ) assert tuple(wcs.wcs.ctype) == ("GLON-CAR", "GLAT-CAR") c = SkyCoord(43, 23, unit=("deg", "deg"), frame="fk5").galactic assert_allclose(wcs.wcs.crval, (c.l.degree, c.b.degree), atol=self.crval_atol) assert_allclose(wcs.wcs.cdelt, (-0.1, 0.1), rtol=self.cdelt_rtol) assert np.isnan(wcs.wcs.equinox) assert wcs.wcs.radesys == "" assert_allclose(wcs.wcs.crpix, self.frame_projection_expected_crpix) assert shape == self.frame_projection_expected_shape def test_frame_str(self): wcs, shape = find_optimal_celestial_wcs([(self.array, self.wcs)], frame="galactic") assert tuple(wcs.wcs.ctype) == ("GLON-TAN", "GLAT-TAN") def test_resolution(self): wcs, shape = find_optimal_celestial_wcs([(self.array, self.wcs)], resolution=3 * u.arcmin) assert_allclose(wcs.wcs.cdelt, (-0.05, 0.05)) @pytest.mark.skipif("not SHAPELY_INSTALLED") def test_auto_rotate(self): # To test auto_rotate, we set the frame to Galactic and the final image # should have the same size as the input image. In this case, the image # actually gets rotated 90 degrees, so the values aren't quite the same # as the input, but they are round values. wcs, shape = find_optimal_celestial_wcs( [(self.array, self.wcs)], frame=Galactic(), auto_rotate=True ) assert tuple(wcs.wcs.ctype) == ("GLON-TAN", "GLAT-TAN") c = SkyCoord(43, 23, unit=("deg", "deg"), frame="fk5").galactic assert_allclose(wcs.wcs.crval, (c.l.degree, c.b.degree), atol=self.crval_atol) assert_allclose(wcs.wcs.cdelt, (-0.1, 0.1), rtol=self.cdelt_rtol) assert np.isnan(wcs.wcs.equinox) assert wcs.wcs.radesys == "" assert_allclose(wcs.wcs.crpix, self.auto_rotate_expected_crpix) assert shape == (30, 40) @pytest.mark.skipif("not SHAPELY_INSTALLED") @pytest.mark.parametrize("angle", np.linspace(0, 360, 13)) def test_auto_rotate_systematic(self, angle): # This is a test to make sure for a number of angles that the corners # of the image are inside the final WCS but the next pixels outwards are # not. We test the full 360 range of angles. angle = np.radians(angle) pc = np.array([[np.cos(angle), -np.sin(angle)], [np.sin(angle), np.cos(angle)]]) self.generate_wcs(pc=pc) wcs, shape = find_optimal_celestial_wcs([(self.array, self.wcs)], auto_rotate=True) ny, nx = self.array.shape xp = np.array([0, 0, nx - 1, nx - 1, -1, -1, nx, nx]) yp = np.array([0, ny - 1, ny - 1, 0, -1, ny, ny, -1]) c = self.wcs.pixel_to_world(xp, yp) xp_final, yp_final = wcs.world_to_pixel(c) ny_final, nx_final = shape inside = ( (xp_final >= -0.5) & (xp_final <= nx_final - 0.5) & (yp_final >= -0.5) & (yp_final <= ny_final - 0.5) ) assert_equal(inside, [1, 1, 1, 1, 0, 0, 0, 0]) def test_multiple_size(self): wcs1 = self.wcs wcs2 = self.generate_wcs(crpix=(20, 15)) wcs3 = self.generate_wcs(crpix=(10, 10)) input_data = [(self.array, wcs1), (self.array, wcs2), (self.array, wcs3)] wcs, shape = find_optimal_celestial_wcs(input_data, frame=FK5()) assert tuple(wcs.wcs.ctype) == ("RA---TAN", "DEC--TAN") assert_allclose(wcs.wcs.crval, (43, 23), atol=self.crval_atol) assert_allclose(wcs.wcs.cdelt, (-0.1, 0.1), rtol=self.cdelt_rtol) assert wcs.wcs.equinox == 2000 assert wcs.wcs.radesys == "FK5" assert_allclose(wcs.wcs.crpix, self.multiple_size_expected_crpix) assert shape == (35, 50) def test_multiple_resolution(self): wcs1 = self.wcs wcs2 = self.generate_wcs(cdelt=(-0.01, 0.02)) wcs3 = self.generate_wcs(cdelt=(-0.2, 0.3)) input_data = [(self.array, wcs1), (self.array, wcs2), (self.array, wcs3)] wcs, shape = find_optimal_celestial_wcs(input_data) assert_allclose(wcs.wcs.cdelt, (-0.01, 0.01), rtol=self.cdelt_rtol) def test_invalid_array_shape(self): array = np.ones((30, 20, 10)) with pytest.raises(ValueError) as exc: wcs, shape = find_optimal_celestial_wcs([(array, self.wcs)]) assert exc.value.args[0] == "Input data is not 2-dimensional (got shape (30, 20, 10))" def test_invalid_wcs_shape(self): wcs = WCS(naxis=3) wcs.wcs.ctype = "RA---TAN", "DEC--TAN", "VELO-LSR" wcs.wcs.set() with pytest.raises(ValueError) as exc: wcs, shape = find_optimal_celestial_wcs([(self.array, wcs)]) assert exc.value.args[0] == "Input WCS is not 2-dimensional" def test_invalid_not_celestial(self): self.wcs = self.generate_wcs(celestial=False) with pytest.raises(TypeError) as exc: wcs, shape = find_optimal_celestial_wcs([(self.array, self.wcs)]) assert exc.value.args[0] == "WCS does not have celestial components" class TestOptimalFITSWCS(BaseTestOptimalWCS): def generate_wcs( self, crpix=(10, 15), crval=(43, 23), cdelt=(-0.1, 0.1), pc=None, celestial=True ): wcs = WCS(naxis=2) if celestial: wcs.wcs.ctype = "RA---TAN", "DEC--TAN" else: wcs.wcs.ctype = "OFFSETX", "OFFSETY" wcs.wcs.crpix = crpix wcs.wcs.crval = crval wcs.wcs.cdelt = cdelt wcs.wcs.equinox = 2000.0 if pc is not None: wcs.wcs.pc = pc return wcs crval_atol = 1e-8 crpix_atol = 1e-6 cdelt_rtol = 1e-8 identity_expected_crpix = 10, 15 auto_rotate_expected_crpix = 10, 15 multiple_size_expected_crpix = 20, 15 # The following values are empirical and just to make sure there are no regressions frame_projection_expected_crpix = 16.212189, 28.861195 frame_projection_expected_shape = 47, 50 class TestOptimalAPE14WCS(TestOptimalFITSWCS): def generate_wcs( self, crpix=(10, 15), crval=(43, 23), cdelt=(-0.1, 0.1), pc=None, celestial=True ): wcs = super().generate_wcs( crpix=crpix, crval=crval, cdelt=cdelt, pc=pc, celestial=celestial ) return HighLevelWCSWrapper(wcs) def test_args_tuple_header(self): pytest.skip() crval_atol = 1.5 crpix_atol = 1e-6 cdelt_rtol = 1.0e-3 # The following values are empirical and just to make sure there are no regressions identity_expected_crpix = 20.630112, 15.649142 frame_projection_expected_crpix = 25.381691, 23.668728 frame_projection_expected_shape = 46, 50 auto_rotate_expected_crpix = 20.513458, 15.513241 multiple_size_expected_crpix = 27.279739, 17.29016 # In cases where the input WCS is wrapped in a pure APE-14 WCS, the results # are a little different - as find_optimal_celestial_wcs takes shortcuts if # FITS WCSes are passed in. APE14_HEADER_REF = """ WCSAXES = 2 / Number of coordinate axes CRPIX1 = 25.72083769123 / Pixel coordinate of reference point CRPIX2 = 15.85922213012 / Pixel coordinate of reference point CDELT1 = -0.039990388998799 / [deg] Coordinate increment at reference point CDELT2 = 0.039990388998799 / [deg] Coordinate increment at reference point CUNIT1 = 'deg' / Units of coordinate increment and value CUNIT2 = 'deg' / Units of coordinate increment and value CTYPE1 = 'RA---TAN' / Right ascension, gnomonic projection CTYPE2 = 'DEC--TAN' / Declination, gnomonic projection CRVAL1 = 28.717296496293 / [deg] Coordinate value at reference point CRVAL2 = 40.532891284598 / [deg] Coordinate value at reference point LONPOLE = 180.0 / [deg] Native longitude of celestial pole LATPOLE = 40.532891284598 / [deg] Native latitude of celestial pole MJDREF = 0.0 / [d] MJD of fiducial time RADESYS = 'FK5' / Equatorial coordinate system EQUINOX = 2000.0 / [yr] Equinox of equatorial coordinates END """.strip() @pytest.mark.parametrize("iterable", [False, True]) def test_input_types(valid_celestial_input_shapes, iterable): # Test different kinds of inputs and check the result is always the same array, wcs, input_value, kwargs = valid_celestial_input_shapes wcs_ref, shape_ref = find_optimal_celestial_wcs([(array, wcs)], frame=FK5()) if ( not isinstance(input_value, WCS) and isinstance(input_value, BaseLowLevelWCS | BaseHighLevelWCS) ) or ( isinstance(input_value, tuple) and not isinstance(input_value[1], WCS) and isinstance(input_value[1], BaseLowLevelWCS | BaseHighLevelWCS) ): wcs_ref = WCS(fits.Header.fromstring(APE14_HEADER_REF, sep="\n")) shape_ref = (31, 50) if iterable: input_value = [input_value] wcs_test, shape_test = find_optimal_celestial_wcs(input_value, frame=FK5(), **kwargs) assert_wcs_allclose(wcs_test, wcs_ref) assert shape_test == shape_ref if isinstance(input_value, fits.HDUList) and not iterable: # Also check case of not passing hdu_in and having all HDUs being included wcs_test, shape_test = find_optimal_celestial_wcs(input_value, frame=FK5()) assert_wcs_allclose(wcs_test, wcs_ref) assert shape_test == shape_ref SOLAR_HEADER = """ CRPIX1 = -1374.571094981584 / [pix] CRPIX2 = 2081.629159922445 / [pix] CRDATE1 = '2017-01-01T00:00:00.000' CRDATE2 = '2017-01-01T00:00:00.000' CRVAL1 = -619.0078311637853 CRVAL2 = -407.000970936774 CDELT1 = 0.01099999994039536 CDELT2 = 0.01099999994039536 CUNIT1 = 'arcsec ' CUNIT2 = 'arcsec ' CTYPE1 = 'HPLN-TAN' CTYPE2 = 'HPLT-TAN' PC1_1 = 0.966887196065055 PC1_2 = -0.01087372434907635 PC2_1 = 0.01173971407248916 PC2_2 = 0.9871195868097251 LONPOLE = 180.0 / [deg] DATEREF = '2022-06-02T17:22:53.220' OBSGEO-X= -5466045.256954942 / [m] OBSGEO-Y= -2404388.737412784 / [m] OBSGEO-Z= 2242133.887690042 / [m] SPECSYS = 'TOPOCENT' VELOSYS = 0.0 """ @pytest.mark.filterwarnings("ignore::astropy.wcs.wcs.FITSFixedWarning") def test_solar_wcs(): # Regression test for issues that occurred when trying to find # the optimal WCS for a set of solar WCSes pytest.importorskip("sunpy", minversion="6.0.1") # Make sure the WCS <-> frame functions are registered wcs_ref = WCS(fits.Header.fromstring(SOLAR_HEADER, sep="\n")) wcs1 = wcs_ref.deepcopy() wcs2 = wcs_ref.deepcopy() wcs2.wcs.crpix[0] -= 4096 wcs, shape = find_optimal_celestial_wcs([((4096, 4096), wcs1), ((4096, 4096), wcs2)]) wcs.wcs.set() assert wcs.wcs.ctype[0] == wcs_ref.wcs.ctype[0] assert wcs.wcs.ctype[1] == wcs_ref.wcs.ctype[1] assert wcs.wcs.cunit[0] == wcs_ref.wcs.cunit[0] assert wcs.wcs.cunit[1] == wcs_ref.wcs.cunit[1] assert shape == (4281, 8237) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/mosaicking/wcs_helpers.py0000644000175100001770000002703614716755202022231 0ustar00runnerdocker# Licensed under a 3-clause BSD style license - see LICENSE.rst import numpy as np from astropy import units as u from astropy.coordinates import SkyCoord, frame_transform_graph from astropy.io.fits import Header from astropy.utils import isiterable from astropy.wcs import WCS from astropy.wcs.utils import ( celestial_frame_to_wcs, pixel_to_skycoord, proj_plane_pixel_scales, skycoord_to_pixel, wcs_to_celestial_frame, ) from astropy.wcs.wcsapi import BaseHighLevelWCS, BaseLowLevelWCS from ..utils import parse_input_shape __all__ = ["find_optimal_celestial_wcs"] def find_optimal_celestial_wcs( input_data, hdu_in=None, frame=None, auto_rotate=False, projection="TAN", resolution=None, reference=None, ): """ Given one or more images, return an optimal WCS projection object and shape. This currently only works with 2-d images with celestial WCS. Parameters ---------- input_data : iterable One or more input data specifications to include in the calculation of the final WCS. This should be an iterable containing one entry for each specification, where a single data specification is one of: * The name of a FITS file as a `str` or a `pathlib.Path` object * An `~astropy.io.fits.HDUList` object * An image HDU object such as a `~astropy.io.fits.PrimaryHDU`, `~astropy.io.fits.ImageHDU`, or `~astropy.io.fits.CompImageHDU` instance * A tuple where the first element is an Numpy array shape tuple and the second element is either a `~astropy.wcs.wcsapi.BaseLowLevelWCS`, `~astropy.wcs.wcsapi.BaseHighLevelWCS`, or a `~astropy.io.fits.Header` object * A tuple where the first element is a `~numpy.ndarray` and the second element is either a `~astropy.wcs.wcsapi.BaseLowLevelWCS`, `~astropy.wcs.wcsapi.BaseHighLevelWCS`, or a `~astropy.io.fits.Header` object * An `~astropy.nddata.NDData` object from which the ``.data`` and ``.wcs`` attributes will be used as the input data. * A `~astropy.wcs.wcsapi.BaseLowLevelWCS` object with ``array_shape`` set or a `~astropy.wcs.wcsapi.BaseHighLevelWCS` object whose underlying low level WCS object has ``array_shape`` set. If only one input data needs to be provided, it is also possible to pass it in without including it in an iterable. hdu_in : int or str, optional If ``input_data`` is a FITS file or an `~astropy.io.fits.HDUList` instance, specifies the HDU to use. frame : str or `~astropy.coordinates.BaseCoordinateFrame` The coordinate system for the final image (defaults to the frame of the first image specified). auto_rotate : bool Whether to rotate the header to minimize the final image area (if `True`, requires shapely>=1.6 to be installed). projection : str Three-letter code for the WCS projection. resolution : `~astropy.units.Quantity` The resolution of the final image. If not specified, this is the smallest resolution of the input images. reference : `~astropy.coordinates.SkyCoord` The reference coordinate for the final header. If not specified, this is determined automatically from the input images. Returns ------- wcs : :class:`~astropy.wcs.WCS` The optimal WCS determined from the input images. shape : tuple The optimal shape required to cover all the output. """ # TODO: support higher-dimensional datasets in future # TODO: take into account NaN values when determining the extent of the # final WCS if isinstance(frame, str): frame = frame_transform_graph.lookup_name(frame)() # Determine whether an iterable of input values was given or a single # input data. if isinstance(input_data, str): # Handle this explicitly as isiterable(str) is True iterable = False elif isiterable(input_data): if len(input_data) == 2 and isinstance( input_data[1], BaseLowLevelWCS | BaseHighLevelWCS | Header ): # Since 2-element tuples are valid single inputs we need to check for this iterable = False else: iterable = True else: iterable = False if iterable: input_shapes = [parse_input_shape(shape, hdu_in=hdu_in) for shape in input_data] else: input_shapes = [parse_input_shape(input_data, hdu_in=hdu_in)] # We start off by looping over images, checking that they are indeed # celestial images, and building up a list of all corners and all reference # coordinates in the frame of reference of the first image. corners = [] references = [] resolutions = [] for shape, wcs in input_shapes: if len(shape) != 2: raise ValueError(f"Input data is not 2-dimensional (got shape {shape!r})") if wcs.pixel_n_dim != 2 or wcs.world_n_dim != 2: raise ValueError("Input WCS is not 2-dimensional") if isinstance(wcs, WCS): if not wcs.has_celestial: raise TypeError("WCS does not have celestial components") # Determine frame if it wasn't specified if frame is None: frame = wcs_to_celestial_frame(wcs) else: # Convert a single position to determine type of output and make # sure there is only a single SkyCoord returned. coord = wcs.pixel_to_world(0, 0) if not isinstance(coord, SkyCoord): raise TypeError("WCS does not have celestial components") if frame is None: frame = coord.frame.replicate_without_data() # Find pixel coordinates of corners. In future if we are worried about # significant distortions of the edges in the reprojection process we # could simply add arbitrary numbers of midpoints to this list. ny, nx = shape xc = np.array([-0.5, nx - 0.5, nx - 0.5, -0.5]) yc = np.array([-0.5, -0.5, ny - 0.5, ny - 0.5]) # We have to do .frame here to make sure that we get a frame object # without any 'hidden' attributes, otherwise the stacking below won't # work. corners.append(wcs.pixel_to_world(xc, yc).transform_to(frame).frame) if isinstance(wcs, WCS): # We now figure out the reference coordinate for the image in the # frame of the first image. The easiest way to do this is actually # to use pixel_to_skycoord with the reference position in pixel # coordinates. We have to set origin=1 because crpix values are # 1-based. xp, yp = wcs.wcs.crpix references.append(pixel_to_skycoord(xp, yp, wcs, origin=1).transform_to(frame).frame) # Find the pixel scale at the reference position - we take the minimum # since we are going to set up a header with 'square' pixels with the # smallest resolution specified. scales = proj_plane_pixel_scales(wcs) resolutions.append(np.min(np.abs(scales))) else: xp, yp = (nx - 1) / 2, (ny - 1) / 2 references.append(wcs.pixel_to_world(xp, yp).transform_to(frame).frame) xs = np.array([xp, xp, xp + 1]) ys = np.array([yp, yp + 1, yp]) cs = wcs.pixel_to_world(xs, ys) dx = abs(cs[0].separation(cs[2]).deg) dy = abs(cs[0].separation(cs[1]).deg) resolutions.append(min(dx, dy)) # We now stack the coordinates - however the frame classes can't do this # so we have to use the high-level SkyCoord class. corners = SkyCoord(corners) references = SkyCoord(references) # If no reference coordinate has been passed in for the final header, we # determine the reference coordinate as the mean of all the reference # positions. This choice is as good as any and if the user really cares, # they can set it manually. if reference is None: reference = SkyCoord(references.data.mean(), frame=references.frame) # In any case, we need to convert the reference coordinate (either # specified or automatically determined) to the requested final frame. reference = reference.transform_to(frame) # Determine resolution if not specified if resolution is None: resolution = np.min(resolutions) * u.deg # Construct WCS object centered on position wcs_final = celestial_frame_to_wcs(frame, projection=projection) if wcs_final.wcs.cunit[0] == "": wcs_final.wcs.cunit[0] = "deg" if wcs_final.wcs.cunit[1] == "": wcs_final.wcs.cunit[1] = "deg" rep = reference.represent_as("unitspherical") wcs_final.wcs.crval = ( rep.lon.to_value(wcs_final.wcs.cunit[0]), rep.lat.to_value(wcs_final.wcs.cunit[1]), ) wcs_final.wcs.cdelt = ( -resolution.to_value(wcs_final.wcs.cunit[0]), resolution.to_value(wcs_final.wcs.cunit[1]), ) # For now, set crpix to (1, 1) and we'll then figure out where all the # images fall in this projection, then we'll adjust crpix. wcs_final.wcs.crpix = (1, 1) # Find pixel coordinates of all corners in the final WCS projection. We use # origin=1 since we are trying to determine crpix values. xp, yp = skycoord_to_pixel(corners, wcs_final, origin=1) if auto_rotate: # Use shapely to represent the points and find the minimum rotated # rectangle from shapely.geometry import MultiPoint mp = MultiPoint(list(zip(xp, yp, strict=True))) # The following returns a list of rectangle vertices - in fact there # are 5 coordinates because shapely represents it as a closed polygon # with the same first/last vertex. xr, yr = mp.minimum_rotated_rectangle.exterior.coords.xy xr, yr = xr[:4], yr[:4] # The order of the vertices is not guaranteed to be constant so we # take the vertices with the two smallest y values (which, for a # rectangle, guarantees that the vertices are neighboring) order = np.argsort(yr) x1, y1, x2, y2 = xr[order[0]], yr[order[0]], xr[order[1]], yr[order[1]] # Determine angle between two of the vertices. It doesn't matter which # ones they are, we just want to know how far from being straight the # rectangle is. angle = np.arctan2(y2 - y1, x2 - x1) # Determine the smallest angle that would cause the rectangle to be # lined up with the axes. angle = angle % (np.pi / 2) if angle > np.pi / 4: angle -= np.pi / 2 # Set rotation matrix (use PC instead of CROTA2 since PC is the # recommended approach) pc = np.array([[np.cos(angle), -np.sin(angle)], [np.sin(angle), np.cos(angle)]]) wcs_final.wcs.pc = pc # Recompute pixel coordinates (more accurate than simply rotating xp, yp) xp, yp = skycoord_to_pixel(corners, wcs_final, origin=1) # Find the full range of values xmin = xp.min() xmax = xp.max() ymin = yp.min() ymax = yp.max() # Update crpix so that the lower range falls on the bottom and left. We add # 0.5 because in the final image the bottom left corner should be at (0.5, # 0.5) not (1, 1). wcs_final.wcs.crpix = (1 - xmin) + 0.5, (1 - ymin) + 0.5 # Return the final image shape too naxis1 = int(round(xmax - xmin)) naxis2 = int(round(ymax - ymin)) return wcs_final, (naxis2, naxis1) ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1731975823.5836382 reproject-0.14.1/reproject/spherical_intersect/0000755000175100001770000000000014716755220021237 5ustar00runnerdocker././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/spherical_intersect/__init__.py0000644000175100001770000000022314716755202023345 0ustar00runnerdocker# Licensed under a 3-clause BSD style license - see LICENSE.rst """ Routines to compute pixel overlap areas. """ from .high_level import * # noqa ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/spherical_intersect/_overlap.pyx0000644000175100001770000000525714716755202023621 0ustar00runnerdockerimport numpy as np cimport numpy as np import cython ctypedef np.double_t DOUBLE_T cdef extern from "overlapArea.h": double computeOverlap(double * ilon, double * ilat, double * olon, double * olat, int energyMode, double refArea, double * areaRatio) cdef extern from "reproject_slice_c.h": void _reproject_slice_c(int startx, int endx, int starty, int endy, int nx_out, int ny_out, double *xp_inout, double *yp_inout, double *xw_in, double *yw_in, double *xw_out, double *yw_out, double *array, double *array_new, double *weights, int col_in, int col_out, int col_array, int col_new) # @cython.wraparound(False) # @cython.boundscheck(False) def _reproject_slice_cython(int startx, int endx, int starty, int endy, int nx_out, int ny_out, np.ndarray[double, ndim=2, mode = "c"] xp_inout, np.ndarray[double, ndim=2, mode = "c"] yp_inout, np.ndarray[double, ndim=2, mode = "c"] xw_in, np.ndarray[double, ndim=2, mode = "c"] yw_in, np.ndarray[double, ndim=2, mode = "c"] xw_out, np.ndarray[double, ndim=2, mode = "c"] yw_out, np.ndarray[double, ndim=2, mode = "c"] array, shape_out): # Create the array_new and weights objects, plus the objects needed in the loop. cdef np.ndarray[double, ndim = 2, mode = "c"] array_new = np.zeros(shape_out, dtype = np.double) cdef np.ndarray[double, ndim = 2, mode = "c"] weights = np.zeros(shape_out, dtype = np.double) # We need the y size of these 2-dimensional arrays in order to access the elements correctly # from raw C. cdef int col_in = xw_in.shape[1] cdef int col_out = xw_out.shape[1] cdef int col_array = array.shape[1] cdef int col_new = array_new.shape[1] # Call the C function now. _reproject_slice_c(startx,endx,starty,endy,nx_out,ny_out, &xp_inout[0,0],&yp_inout[0,0], &xw_in[0,0],&yw_in[0,0],&xw_out[0,0],&yw_out[0,0],&array[0,0], &array_new[0,0],&weights[0,0], col_in,col_out,col_array,col_new) return array_new,weights # @cython.wraparound(False) # @cython.boundscheck(False) def _compute_overlap(np.ndarray[double, ndim=2] ilon, np.ndarray[double, ndim=2] ilat, np.ndarray[double, ndim=2] olon, np.ndarray[double, ndim=2] olat): cdef int i cdef int n = ilon.shape[0] cdef np.ndarray[double, ndim = 1] overlap = np.empty(n, dtype=np.double) cdef np.ndarray[double, ndim = 1] area_ratio = np.empty(n, dtype=np.double) for i in range(n): overlap[i] = computeOverlap(& ilon[i, 0], & ilat[i, 0], & olon[i, 0], & olat[i, 0], 0, 1, & area_ratio[i]) return overlap, area_ratio ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/spherical_intersect/core.py0000644000175100001770000001377714716755202022560 0ustar00runnerdocker# Licensed under a 3-clause BSD style license - see LICENSE.rst import warnings import numpy as np from astropy import units as u from astropy.wcs import WCS from astropy.wcs.utils import proj_plane_pixel_area from ._overlap import _reproject_slice_cython def _reproject_celestial( array, wcs_in, wcs_out, shape_out, array_out=None, output_footprint=None, return_footprint=True, ): if array_out is None: array_out = np.empty(shape_out) if output_footprint is None: output_footprint = np.empty(shape_out) # There are currently precision issues below certain resolutions, so we # emit a warning if this is the case. For more details, see: # https://github.com/astropy/reproject/issues/199 area_threshold = (0.05 / 3600) ** 2 if (isinstance(wcs_in, WCS) and proj_plane_pixel_area(wcs_in) < area_threshold) or ( isinstance(wcs_out, WCS) and proj_plane_pixel_area(wcs_out) < area_threshold ): warnings.warn( "The reproject_exact function currently has precision " "issues with images that have resolutions below ~0.05 " "arcsec, so the results may not be accurate.", UserWarning, stacklevel=2, ) # Convert input array to float values. If this comes from a FITS, it might have # float32 as value type and that can break things in Cython array = np.asarray(array, dtype=float) shape_out = tuple(shape_out) if wcs_in.pixel_n_dim != 2: # TODO: make this work for n-dimensional arrays raise NotImplementedError("Only 2-dimensional arrays can be reprojected at this time") elif len(shape_out) < wcs_out.low_level_wcs.pixel_n_dim: raise ValueError("Too few dimensions in shape_out") elif len(array.shape) < wcs_in.low_level_wcs.pixel_n_dim: raise ValueError("Too few dimensions in input data") elif len(array.shape) != len(shape_out): raise ValueError("Number of dimensions in input and output data should match") # Separate the "extra" dimensions that don't correspond to a WCS axis and # which we'll be looping over extra_dimens_in = array.shape[: -wcs_in.low_level_wcs.pixel_n_dim] extra_dimens_out = shape_out[: -wcs_out.low_level_wcs.pixel_n_dim] if extra_dimens_in != extra_dimens_out: raise ValueError("Dimensions to be looped over must match exactly") # TODO: at the moment, we compute the coordinates of all of the corners, # but we might want to do it in steps for large images. # Start off by finding the world position of all the corners of the input # image in world coordinates ny_in, nx_in = array.shape[-2:] x = np.arange(nx_in + 1.0) - 0.5 y = np.arange(ny_in + 1.0) - 0.5 xp_in, yp_in = np.meshgrid(x, y, indexing="xy", sparse=False, copy=False) world_in = wcs_in.pixel_to_world(xp_in, yp_in) # Now compute the world positions of all the corners in the output header ny_out, nx_out = shape_out[-2:] x = np.arange(nx_out + 1.0) - 0.5 y = np.arange(ny_out + 1.0) - 0.5 xp_out, yp_out = np.meshgrid(x, y, indexing="xy", sparse=False, copy=False) world_out = wcs_out.pixel_to_world(xp_out, yp_out) # Convert the input world coordinates to the frame of the output world # coordinates. world_in = world_in.transform_to(world_out.frame) # Finally, compute the pixel positions in the *output* image of the pixels # from the *input* image. xp_inout, yp_inout = wcs_out.world_to_pixel(world_in) world_in_unitsph = world_in.represent_as("unitspherical") xw_in, yw_in = world_in_unitsph.lon.to_value(u.deg), world_in_unitsph.lat.to_value(u.deg) world_out_unitsph = world_out.represent_as("unitspherical") xw_out, yw_out = world_out_unitsph.lon.to_value(u.deg), world_out_unitsph.lat.to_value(u.deg) # If the input array contains extra dimensions beyond what the input WCS # has, the extra leading dimensions are assumed to represent multiple # images with the same coordinate information. The transformation is # computed once and "broadcast" across those images. if len(array.shape) == wcs_in.low_level_wcs.pixel_n_dim: # We don't need to broadcast the transformation over any extra # axes---add an extra axis of length one just so we have something # to loop over in all cases. broadcasting = False array = array.reshape((1, *array.shape)) elif len(array.shape) > wcs_in.low_level_wcs.pixel_n_dim: # We're broadcasting. Flatten the extra dimensions so there's just one # to loop over broadcasting = True array = array.reshape((-1, *array.shape[-wcs_in.low_level_wcs.pixel_n_dim :])) array_out = array_out.reshape((-1, *shape_out[-2:])) output_footprint = output_footprint.reshape((-1, *shape_out[-2:])) else: raise ValueError("Too few dimensions for input array") array = np.ascontiguousarray(array) for i in range(len(array)): array_new, weights = _reproject_slice_cython( 0, nx_in, 0, ny_in, nx_out, ny_out, np.ascontiguousarray(xp_inout), np.ascontiguousarray(yp_inout), np.ascontiguousarray(xw_in), np.ascontiguousarray(yw_in), np.ascontiguousarray(xw_out), np.ascontiguousarray(yw_out), array[i], shape_out[-2:], ) with np.errstate(invalid="ignore"): array_new /= weights if broadcasting: array_out[i] = array_new if return_footprint: output_footprint[i] = weights else: array_out[:] = array_new if return_footprint: output_footprint[:] = weights if broadcasting: array_out = array_out.reshape(shape_out) if return_footprint: output_footprint = output_footprint.reshape(shape_out) if return_footprint: return array_out, output_footprint else: return array_out ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/spherical_intersect/high_level.py0000644000175100001770000001263214716755202023723 0ustar00runnerdocker# Licensed under a 3-clause BSD style license - see LICENSE.rst from ..common import _reproject_dispatcher from ..utils import parse_input_data, parse_output_projection from ..wcs_utils import has_celestial from .core import _reproject_celestial __all__ = ["reproject_exact"] def reproject_exact( input_data, output_projection, shape_out=None, hdu_in=0, output_array=None, output_footprint=None, return_footprint=True, block_size=None, parallel=False, return_type=None, ): """ Reproject data to a new projection using flux-conserving spherical polygon intersection (this is the slowest algorithm). Parameters ---------- input_data : object The input data to reproject. This can be: * The name of a FITS file as a `str` or a `pathlib.Path` object * An `~astropy.io.fits.HDUList` object * An image HDU object such as a `~astropy.io.fits.PrimaryHDU`, `~astropy.io.fits.ImageHDU`, or `~astropy.io.fits.CompImageHDU` instance * A tuple where the first element is a `~numpy.ndarray` and the second element is either a `~astropy.wcs.wcsapi.BaseLowLevelWCS`, `~astropy.wcs.wcsapi.BaseHighLevelWCS`, or a `~astropy.io.fits.Header` object * An `~astropy.nddata.NDData` object from which the ``.data`` and ``.wcs`` attributes will be used as the input data. If the data array contains more dimensions than are described by the input header or WCS, the extra dimensions (assumed to be the first dimensions) are taken to represent multiple images with the same coordinate information. The coordinate transformation will be computed once and then each image will be reprojected, offering a speedup over reprojecting each image individually. output_projection : `~astropy.wcs.wcsapi.BaseLowLevelWCS` or `~astropy.wcs.wcsapi.BaseHighLevelWCS` or `~astropy.io.fits.Header` The output projection, which can be either a `~astropy.wcs.wcsapi.BaseLowLevelWCS`, `~astropy.wcs.wcsapi.BaseHighLevelWCS`, or a `~astropy.io.fits.Header` instance. shape_out : tuple, optional If ``output_projection`` is a WCS instance, the shape of the output data should be specified separately. hdu_in : int or str, optional If ``input_data`` is a FITS file or an `~astropy.io.fits.HDUList` instance, specifies the HDU to use. output_array : None or `~numpy.ndarray` An array in which to store the reprojected data. This can be any numpy array including a memory map, which may be helpful when dealing with extremely large files. output_footprint : `~numpy.ndarray`, optional An array in which to store the footprint of reprojected data. This can be any numpy array including a memory map, which may be helpful when dealing with extremely large files. return_footprint : bool Whether to return the footprint in addition to the output array. block_size : tuple or 'auto', optional The size of blocks in terms of output array pixels that each block will handle reprojecting. Extending out from (0,0) coords positively, block sizes are clamped to output space edges when a block would extend past edge. Specifying ``'auto'`` means that reprojection will be done in blocks with the block size automatically determined. If ``block_size`` is not specified or set to `None`, the reprojection will not be carried out in blocks. parallel : bool or int or str, optional If `True`, the reprojection is carried out in parallel, and if a positive integer, this specifies the number of threads to use. The reprojection will be parallelized over output array blocks specified by ``block_size`` (if the block size is not set, it will be determined automatically). To use the currently active dask scheduler (e.g. dask.distributed), set this to ``'current-scheduler'``. return_type : {'numpy', 'dask'}, optional Whether to return numpy or dask arrays - defaults to 'numpy'. Returns ------- array_new : `~numpy.ndarray` The reprojected array. footprint : `~numpy.ndarray` Footprint of the input array in the output array. Values of 0 indicate no coverage or valid values in the input image, while values of 1 indicate valid values. Intermediate values indicate partial coverage. """ array_in, wcs_in = parse_input_data(input_data, hdu_in=hdu_in) wcs_out, shape_out = parse_output_projection( output_projection, shape_in=array_in.shape, shape_out=shape_out ) if has_celestial(wcs_in) and wcs_in.pixel_n_dim == 2 and wcs_in.world_n_dim == 2: return _reproject_dispatcher( _reproject_celestial, array_in=array_in, wcs_in=wcs_in, wcs_out=wcs_out, shape_out=shape_out, array_out=output_array, parallel=parallel, block_size=block_size, return_footprint=return_footprint, output_footprint=output_footprint, return_type=return_type, ) else: raise NotImplementedError( "Currently only data with a 2-d celestial " "WCS can be reprojected using flux-conserving algorithm" ) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/spherical_intersect/mNaN.h0000644000175100001770000000027414716755202022244 0ustar00runnerdocker#ifndef _BSD_SOURCE #define _BSD_SOURCE #endif #include #if defined(_MSC_VER) #define mNaN(x) _isnan(x) || !_finite(x) #else #define mNaN(x) isnan(x) || !isfinite(x) #endif ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/spherical_intersect/overlap.py0000644000175100001770000000222614716755202023263 0ustar00runnerdockerimport numpy as np from ._overlap import _compute_overlap __all__ = ["compute_overlap"] def compute_overlap(ilon, ilat, olon, olat): """Compute the overlap between two 'pixels' in spherical coordinates. Parameters ---------- ilon : np.ndarray with shape (N, 4) The longitudes (in radians) defining the four corners of the input pixel ilat : np.ndarray with shape (N, 4) The latitudes (in radians) defining the four corners of the input pixel olon : np.ndarray with shape (N, 4) The longitudes (in radians) defining the four corners of the output pixel olat : np.ndarray with shape (N, 4) The latitudes (in radians) defining the four corners of the output pixel Returns ------- overlap : np.ndarray of length N Pixel overlap solid angle in steradians area_ratio : np.ndarray of length N TODO """ ilon = np.ascontiguousarray(ilon, dtype=np.float64) ilat = np.ascontiguousarray(ilat, dtype=np.float64) olon = np.ascontiguousarray(olon, dtype=np.float64) olat = np.ascontiguousarray(olat, dtype=np.float64) return _compute_overlap(ilon, ilat, olon, olat) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/spherical_intersect/overlapArea.c0000644000175100001770000006203614716755202023653 0ustar00runnerdocker/* Methods to compute pixel overlap areas on the sphere. * * Originally developed in 2003 / 2004 by John Good. */ #include #if defined(_MSC_VER) #define _USE_MATH_DEFINES #endif #include #include "mNaN.h" #include "overlapArea.h" // Constants #define FALSE 0 #define TRUE 1 #define FOREVER 1 #define COLINEAR_SEGMENTS 0 #define ENDPOINT_ONLY 1 #define NORMAL_INTERSECT 2 #define NO_INTERSECTION 3 #define CLOCKWISE 1 #define PARALLEL 0 #define COUNTERCLOCKWISE -1 #define UNKNOWN 0 #define P_IN_Q 1 #define Q_IN_P 2 #if defined(DEBUG_OVERLAP_AREA) const int DEBUG = 10; #else const int DEBUG = 0; #endif const double DEG_TO_RADIANS = M_PI / 180.; // sin(x) where x = 5e-4 arcsec or cos(x) when x is within 1e-5 arcsec of 90 degrees const double TOLERANCE = 4.424e-9; const int NP = 4; const int NQ = 4; typedef struct vec { double x; double y; double z; } Vec; // Function prototypes int DirectionCalculator(Vec *a, Vec *b, Vec *c); int SegSegIntersect(Vec *a, Vec *b, Vec *c, Vec *d, Vec *e, Vec *f, Vec *p, Vec *q); int Between(Vec *a, Vec *b, Vec *c); int Cross(Vec *a, Vec *b, Vec *c); double Dot(Vec *a, Vec *b); double Normalize(Vec *a); void Reverse(Vec *a); void SaveVertex(Vec *a, Vec *P, Vec *Q, Vec *V, int *nv); void SaveSharedSeg(Vec *p, Vec *q, Vec *P, Vec *Q, Vec *V, int *nv); void ComputeIntersection(Vec *P, Vec *Q, Vec *V, int *nv); void EnsureCounterClockWise(Vec *V); int UpdateInteriorFlag(Vec *p, int interiorFlag, int pEndpointFromQdir, int qEndpointFromPdir, Vec *P, Vec *Q, Vec *V, int *nv); int Advance(int i, int *i_advances, int n, int inside, Vec *v, Vec *P, Vec *Q, Vec *V, int *nv); double Girard(int nv, Vec *V); void RemoveDups(int *nv, Vec *V); int printDir(char *point, char *vector, int dir); /* * Sets up the polygons, runs the overlap computation, and returns the area of overlap. */ double computeOverlap(double *ilon, double *ilat, double *olon, double *olat, int energyMode, double refArea, double *areaRatio) { int i; double thisPixelArea; Vec P[8], Q[8], V[16]; int nv; *areaRatio = 1.; if (energyMode) { nv = 0; for (i = 0; i < 4; ++i) SaveVertex(&P[i], P, Q, V, &nv); thisPixelArea = Girard(nv, V); *areaRatio = thisPixelArea / refArea; } nv = 0; if (DEBUG >= 4) { printf("Input (P):\n"); for (i = 0; i < 4; ++i) printf("%10.6f %10.6f\n", ilon[i], ilat[i]); printf("\nOutput (Q):\n"); for (i = 0; i < 4; ++i) printf("%10.6f %10.6f\n", olon[i], olat[i]); printf("\n"); fflush(stdout); } for (i = 0; i < 4; ++i) { P[i].x = cos(ilon[i]) * cos(ilat[i]); P[i].y = sin(ilon[i]) * cos(ilat[i]); P[i].z = sin(ilat[i]); } for (i = 0; i < 4; ++i) { Q[i].x = cos(olon[i]) * cos(olat[i]); Q[i].y = sin(olon[i]) * cos(olat[i]); Q[i].z = sin(olat[i]); } EnsureCounterClockWise(P); EnsureCounterClockWise(Q); ComputeIntersection(P, Q, V, &nv); return (Girard(nv, V)); } void EnsureCounterClockWise(Vec *V) { // Make sure that the polygon is counter-clockwise. For now we assume that we // are dealing with convex quadrilaterals, and therefore we can just check // the two first sides of the polygon. Vec S1, S2, C; double dir; double tmp; S1.x = V[1].x - V[0].x; S1.y = V[1].y - V[0].y; S1.z = V[1].z - V[0].z; S2.x = V[2].x - V[1].x; S2.y = V[2].y - V[1].y; S2.z = V[2].z - V[1].z; Cross(&S1, &S2, &C); dir = Dot(&V[1], &C); if (dir < 0) { tmp = V[2].x; V[2].x = V[0].x; V[0].x = tmp; tmp = V[2].y; V[2].y = V[0].y; V[0].y = tmp; tmp = V[2].z; V[2].z = V[0].z; V[0].z = tmp; } } /* * Find the polygon defining the area of overlap * between the two input polygons P and Q. */ void ComputeIntersection(Vec *P, Vec *Q, Vec *V, int *nv) { Vec Pdir, Qdir; // "Current" directed edges on P and Q Vec other; // Temporary "edge-like" variable int ip, iq; // Indices of ends of Pdir, Qdir int ip_begin, iq_begin; // Indices of beginning of Pdir, Qdir int PToQDir; // Qdir direction relative to Pdir // (e.g. CLOCKWISE) int qEndpointFromPdir; // End P vertex as viewed from beginning // of Qdir relative to Qdir int pEndpointFromQdir; // End Q vertex as viewed from beginning // of Pdir relative to Pdir Vec firstIntersection; // Point of intersection of Pdir, Qdir Vec secondIntersection; // Second point of intersection // (if there is one) int interiorFlag; // Which polygon is inside the other int contained; // Used for "completely contained" check int p_advances, q_advances; // Number of times we've advanced // P and Q indices int isFirstPoint; // Is this the first point? int intersectionCode; // SegSegIntersect() return code. // Check for Q contained in P contained = TRUE; for (ip = 0; ip < NP; ++ip) { ip_begin = (ip + NP - 1) % NP; Cross(&P[ip_begin], &P[ip], &Pdir); Normalize(&Pdir); for (iq = 0; iq < NQ; ++iq) { if (DEBUG >= 4) { printf("Q in P: Dot%d%d = %12.5e\n", ip, iq, Dot(&Pdir, &Q[iq])); fflush(stdout); } if (Dot(&Pdir, &Q[iq]) < -TOLERANCE) { contained = FALSE; break; } } if (!contained) break; } if (contained) { if (DEBUG >= 4) { printf("Q is entirely contained in P (output pixel is in input pixel)\n"); fflush(stdout); } for (iq = 0; iq < NQ; ++iq) SaveVertex(&Q[iq], P, Q, V, nv); return; } // Check for P contained in Q contained = TRUE; for (iq = 0; iq < NQ; ++iq) { iq_begin = (iq + NQ - 1) % NQ; Cross(&Q[iq_begin], &Q[iq], &Qdir); Normalize(&Qdir); for (ip = 0; ip < NP; ++ip) { if (DEBUG >= 4) { printf("P in Q: Dot%d%d = %12.5e\n", iq, ip, Dot(&Qdir, &P[ip])); fflush(stdout); } if (Dot(&Qdir, &P[ip]) < -TOLERANCE) { contained = FALSE; break; } } if (!contained) break; } if (contained) { if (DEBUG >= 4) { printf("P is entirely contained in Q (input pixel is in output pixel)\n"); fflush(stdout); } *nv = 0; for (ip = 0; ip < NP; ++ip) SaveVertex(&P[ip], P, Q, V, nv); return; } // Then check for polygon overlap ip = 0; iq = 0; p_advances = 0; q_advances = 0; interiorFlag = UNKNOWN; isFirstPoint = TRUE; while (FOREVER) { if (p_advances >= 2 * NP) break; if (q_advances >= 2 * NQ) break; if (p_advances >= NP && q_advances >= NQ) break; if (DEBUG >= 4) { printf("-----\n"); if (interiorFlag == UNKNOWN) { printf("Before advances (UNKNOWN interiorFlag): ip=%d, iq=%d ", ip, iq); printf("(p_advances=%d, q_advances=%d)\n", p_advances, q_advances); } else if (interiorFlag == P_IN_Q) { printf("Before advances (P_IN_Q): ip=%d, iq=%d ", ip, iq); printf("(p_advances=%d, q_advances=%d)\n", p_advances, q_advances); } else if (interiorFlag == Q_IN_P) { printf("Before advances (Q_IN_P): ip=%d, iq=%d ", ip, iq); printf("(p_advances=%d, q_advances=%d)\n", p_advances, q_advances); } else printf("\nBAD INTERIOR FLAG. Shouldn't get here\n"); fflush(stdout); } // Previous point in the polygon ip_begin = (ip + NP - 1) % NP; iq_begin = (iq + NQ - 1) % NQ; // The current polygon edges are given by // the cross product of the vertex vectors Cross(&P[ip_begin], &P[ip], &Pdir); Cross(&Q[iq_begin], &Q[iq], &Qdir); PToQDir = DirectionCalculator(&P[ip], &Pdir, &Qdir); Cross(&Q[iq_begin], &P[ip], &other); pEndpointFromQdir = DirectionCalculator(&Q[iq_begin], &Qdir, &other); Cross(&P[ip_begin], &Q[iq], &other); qEndpointFromPdir = DirectionCalculator(&P[ip_begin], &Pdir, &other); if (DEBUG >= 4) { printf(" "); printDir("P", "Q", PToQDir); printDir("pEndpoint", "Q", pEndpointFromQdir); printDir("qEndpoint", "P", qEndpointFromPdir); printf("\n"); fflush(stdout); } // Find point(s) of intersection between edges intersectionCode = SegSegIntersect(&Pdir, &Qdir, &P[ip_begin], &P[ip], &Q[iq_begin], &Q[iq], &firstIntersection, &secondIntersection); if (intersectionCode == NORMAL_INTERSECT || intersectionCode == ENDPOINT_ONLY) { if (interiorFlag == UNKNOWN && isFirstPoint) { p_advances = 0; q_advances = 0; isFirstPoint = FALSE; } interiorFlag = UpdateInteriorFlag(&firstIntersection, interiorFlag, pEndpointFromQdir, qEndpointFromPdir, P, Q, V, nv); if (DEBUG >= 4) { if (interiorFlag == UNKNOWN) printf(" interiorFlag -> UNKNOWN\n"); else if (interiorFlag == P_IN_Q) printf(" interiorFlag -> P_IN_Q\n"); else if (interiorFlag == Q_IN_P) printf(" interiorFlag -> Q_IN_P\n"); else printf(" BAD interiorFlag. Shouldn't get here\n"); fflush(stdout); } } // Advance rules // Special case: Pdir & Qdir overlap and oppositely oriented. if ((intersectionCode == COLINEAR_SEGMENTS) && (Dot(&Pdir, &Qdir) < 0)) { if (DEBUG >= 4) { printf(" ADVANCE: Pdir and Qdir are colinear.\n"); fflush(stdout); } SaveSharedSeg(&firstIntersection, &secondIntersection, P, Q, V, nv); RemoveDups(nv, V); return; } // Special case: Pdir & Qdir parallel and separated. if ((PToQDir == PARALLEL) && (pEndpointFromQdir == CLOCKWISE) && (qEndpointFromPdir == CLOCKWISE)) { if (DEBUG >= 4) { printf(" ADVANCE: Pdir and Qdir are disjoint.\n"); fflush(stdout); } RemoveDups(nv, V); return; } // Special case: Pdir & Qdir colinear. else if ((PToQDir == PARALLEL) && (pEndpointFromQdir == PARALLEL) && (qEndpointFromPdir == PARALLEL)) { if (DEBUG >= 4) { printf(" ADVANCE: Pdir and Qdir are colinear.\n"); fflush(stdout); } // Advance but do not output point. if (interiorFlag == P_IN_Q) iq = Advance(iq, &q_advances, NQ, interiorFlag == Q_IN_P, &Q[iq], P, Q, V, nv); else ip = Advance(ip, &p_advances, NP, interiorFlag == P_IN_Q, &P[ip], P, Q, V, nv); } // Generic cases. else if (PToQDir == COUNTERCLOCKWISE || PToQDir == PARALLEL) { if (qEndpointFromPdir == COUNTERCLOCKWISE) { if (DEBUG >= 4) { printf(" ADVANCE: Generic: PToQDir is COUNTERCLOCKWISE "); printf("|| PToQDir is PARALLEL, "); printf("qEndpointFromPdir is COUNTERCLOCKWISE\n"); fflush(stdout); } ip = Advance(ip, &p_advances, NP, interiorFlag == P_IN_Q, &P[ip], P, Q, V, nv); } else { if (DEBUG >= 4) { printf(" ADVANCE: Generic: PToQDir is COUNTERCLOCKWISE "); printf("|| PToQDir is PARALLEL, qEndpointFromPdir is CLOCKWISE\n"); fflush(stdout); } iq = Advance(iq, &q_advances, NQ, interiorFlag == Q_IN_P, &Q[iq], P, Q, V, nv); } } else { if (pEndpointFromQdir == COUNTERCLOCKWISE) { if (DEBUG >= 4) { printf(" ADVANCE: Generic: PToQDir is CLOCKWISE, "); printf("pEndpointFromQdir is COUNTERCLOCKWISE\n"); fflush(stdout); } iq = Advance(iq, &q_advances, NQ, interiorFlag == Q_IN_P, &Q[iq], P, Q, V, nv); } else { if (DEBUG >= 4) { printf(" ADVANCE: Generic: PToQDir is CLOCKWISE, "); printf("pEndpointFromQdir is CLOCKWISE\n"); fflush(stdout); } ip = Advance(ip, &p_advances, NP, interiorFlag == P_IN_Q, &P[ip], P, Q, V, nv); } } if (DEBUG >= 4) { if (interiorFlag == UNKNOWN) { printf("After advances: ip=%d, iq=%d ", ip, iq); printf("(p_advances=%d, q_advances=%d) interiorFlag=UNKNOWN\n", p_advances, q_advances); } else if (interiorFlag == P_IN_Q) { printf("After advances: ip=%d, iq=%d ", ip, iq); printf("(p_advances=%d, q_advances=%d) interiorFlag=P_IN_Q\n", p_advances, q_advances); } else if (interiorFlag == Q_IN_P) { printf("After advances: ip=%d, iq=%d ", ip, iq); printf("(p_advances=%d, q_advances=%d) interiorFlag=Q_IN_P\n", p_advances, q_advances); } else printf("BAD INTERIOR FLAG. Shouldn't get here\n"); printf("-----\n\n"); fflush(stdout); } } RemoveDups(nv, V); return; } /* * Print out the second point of intersection and toggle in/out flag. */ int UpdateInteriorFlag(Vec *p, int interiorFlag, int pEndpointFromQdir, int qEndpointFromPdir, Vec *P, Vec *Q, Vec *V, int *nv) { double lon, lat; if (DEBUG >= 4) { lon = atan2(p->y, p->x) / DEG_TO_RADIANS; lat = asin(p->z) / DEG_TO_RADIANS; printf(" intersection [%13.6e,%13.6e,%13.6e] " "-> (%10.6f,%10.6f) (UpdateInteriorFlag)\n", p->x, p->y, p->z, lon, lat); fflush(stdout); } SaveVertex(p, P, Q, V, nv); // Update interiorFlag. if (pEndpointFromQdir == COUNTERCLOCKWISE) return P_IN_Q; else if (qEndpointFromPdir == COUNTERCLOCKWISE) return Q_IN_P; else // Keep status quo. return interiorFlag; } /* * Save the endpoints of a shared segment. */ void SaveSharedSeg(Vec *p, Vec *q, Vec *P, Vec *Q, Vec *V, int *nv) { if (DEBUG >= 4) { printf("\n SaveSharedSeg(): from " "[%13.6e,%13.6e,%13.6e]\n", p->x, p->y, p->z); printf(" SaveSharedSeg(): to " "[%13.6e,%13.6e,%13.6e]\n\n", q->x, q->y, q->z); fflush(stdout); } SaveVertex(p, P, Q, V, nv); SaveVertex(q, P, Q, V, nv); } /* * Advances and prints out an inside vertex if appropriate. */ int Advance(int ip, int *p_advances, int n, int inside, Vec *v, Vec *P, Vec *Q, Vec *V, int *nv) { double lon, lat; lon = atan2(v->y, v->x) / DEG_TO_RADIANS; lat = asin(v->z) / DEG_TO_RADIANS; if (inside) { if (DEBUG >= 4) { printf(" Advance(): inside vertex " "[%13.6e,%13.6e,%13.6e] -> (%10.6f,%10.6f)n", v->x, v->y, v->z, lon, lat); fflush(stdout); } SaveVertex(v, P, Q, V, nv); } (*p_advances)++; return (ip + 1) % n; } /* * Save the intersection polygon vertices */ void SaveVertex(Vec *a, Vec *P, Vec *Q, Vec *V, int *nv) { int i, i_begin; Vec Dir; if (DEBUG >= 4) printf(" SaveVertex ... "); // What with TOLERANCE and roundoff problems, we need to double-check // that the point to be save is really in or on the edge of both pixels P and Q. for (i = 0; i < NP; ++i) { i_begin = (i + NP - 1) % NP; Cross(&P[i_begin], &P[i], &Dir); Normalize(&Dir); if (Dot(&Dir, a) < -1000. * TOLERANCE) { if (DEBUG >= 4) { printf("rejected (not in P)\n"); fflush(stdout); } return; } } for (i = 0; i < NQ; ++i) { i_begin = (i + NQ - 1) % NQ; Cross(&Q[i_begin], &Q[i], &Dir); Normalize(&Dir); if (Dot(&Dir, a) < -1000. * TOLERANCE) { if (DEBUG >= 4) { printf("rejected (not in Q)\n"); fflush(stdout); } return; } } if (*nv < 15) { V[*nv].x = a->x; V[*nv].y = a->y; V[*nv].z = a->z; *nv += 1; } if (DEBUG >= 4) { printf("accepted (%d)\n", *nv); fflush(stdout); } } /* * Computes whether ac is CLOCKWISE, etc. of ab. */ int DirectionCalculator(Vec *a, Vec *b, Vec *c) { Vec cross; int len; len = Cross(b, c, &cross); if (len == 0) return PARALLEL; else if (Dot(a, &cross) < 0.) return CLOCKWISE; else return COUNTERCLOCKWISE; } /* * Finds the point of intersection p between two closed segments ab and cd. * * Returns p and a char with the following meaning: * * COLINEAR_SEGMENTS: The segments colinearly overlap, sharing a point. * * ENDPOINT_ONLY: An endpoint (vertex) of one segment is on the other * segment, but COLINEAR_SEGMENTS doesn't hold. * * NORMAL_INTERSECT: The segments intersect properly (i.e., they share * a point and neither ENDPOINT_ONLY nor * COLINEAR_SEGMENTS holds). * * NO_INTERSECTION: The segments do not intersect (i.e., they share * no points). * * Note that two colinear segments that share just one point, an endpoint * of each, returns COLINEAR_SEGMENTS rather than ENDPOINT_ONLY as one * might expect. */ int SegSegIntersect(Vec *pEdge, Vec *qEdge, Vec *p0, Vec *p1, Vec *q0, Vec *q1, Vec *intersect1, Vec *intersect2) { double pDot, qDot; // Dot product [cos(length)] of the edge vertices double p0Dot, p1Dot; // Dot product from vertices to intersection double q0Dot, q1Dot; // Dot pro}duct from vertices to intersection int len; // Get the edge lengths (actually cos(length)) pDot = Dot(p0, p1); qDot = Dot(q0, q1); // Find the point of intersection len = Cross(pEdge, qEdge, intersect1); // If the two edges are colinear, check to see if they overlap if (len == 0) { if (Between(q0, p0, p1) && Between(q1, p0, p1)) { intersect1 = q0; intersect2 = q1; return COLINEAR_SEGMENTS; } if (Between(p0, q0, q1) && Between(p1, q0, q1)) { intersect1 = p0; intersect2 = p1; return COLINEAR_SEGMENTS; } if (Between(q0, p0, p1) && Between(p1, q0, q1)) { intersect1 = q0; intersect2 = p1; return COLINEAR_SEGMENTS; } if (Between(p0, q0, q1) && Between(q1, p0, p1)) { intersect1 = p0; intersect2 = q1; return COLINEAR_SEGMENTS; } if (Between(q1, p0, p1) && Between(p1, q0, q1)) { intersect1 = p0; intersect2 = p1; return COLINEAR_SEGMENTS; } if (Between(q0, p0, p1) && Between(p0, q0, q1)) { intersect1 = p0; intersect2 = q0; return COLINEAR_SEGMENTS; } return NO_INTERSECTION; } // If this is the wrong one of the two // (other side of the sky) reverse it Normalize(intersect1); if (Dot(intersect1, p0) < 0.) Reverse(intersect1); // Point has to be inside both sides to be an intersection if ((p0Dot = Dot(intersect1, p0)) < pDot) return NO_INTERSECTION; if ((p1Dot = Dot(intersect1, p1)) < pDot) return NO_INTERSECTION; if ((q0Dot = Dot(intersect1, q0)) < qDot) return NO_INTERSECTION; if ((q1Dot = Dot(intersect1, q1)) < qDot) return NO_INTERSECTION; // Otherwise, if the intersection is at an endpoint if (p0Dot == pDot) return ENDPOINT_ONLY; if (p1Dot == pDot) return ENDPOINT_ONLY; if (q0Dot == qDot) return ENDPOINT_ONLY; if (q1Dot == qDot) return ENDPOINT_ONLY; // Otherwise, it is a normal intersection return NORMAL_INTERSECT; } /* * Formats a message about relative directions. */ int printDir(char *point, char *vector, int dir) { if (dir == CLOCKWISE) printf("%s is CLOCKWISE of %s; ", point, vector); else if (dir == COUNTERCLOCKWISE) printf("%s is COUNTERCLOCKWISE of %s; ", point, vector); else if (dir == PARALLEL) printf("%s is PARALLEL to %s; ", point, vector); else printf("Bad comparison (shouldn't get this; "); return 0; } /* * Tests whether whether a point on an arc is * between two other points. */ int Between(Vec *v, Vec *a, Vec *b) { double abDot, avDot, bvDot; abDot = Dot(a, b); avDot = Dot(a, v); bvDot = Dot(b, v); if (avDot > abDot && bvDot > abDot) return TRUE; else return FALSE; } /* * Vector cross product. */ int Cross(Vec *v1, Vec *v2, Vec *v3) { v3->x = v1->y * v2->z - v2->y * v1->z; v3->y = -v1->x * v2->z + v2->x * v1->z; v3->z = v1->x * v2->y - v2->x * v1->y; if (fabs(v3->x) < 1.e-18 && fabs(v3->y) < 1.e-18 && fabs(v3->z) < 1.e-18) return 0; return 1; } /* * Vector dot product. */ double Dot(Vec *a, Vec *b) { double sum = 0.0; sum = a->x * b->x + a->y * b->y + a->z * b->z; return sum; } /* * Normalize the vector */ double Normalize(Vec *v) { double len; len = sqrt(v->x * v->x + v->y * v->y + v->z * v->z); if (len == 0.) len = 1.; v->x = v->x / len; v->y = v->y / len; v->z = v->z / len; return len; } /* * Reverse the vector. */ void Reverse(Vec *v) { v->x = -v->x; v->y = -v->y; v->z = -v->z; } /* * Use Girard's theorem to compute the area of a sky polygon. */ double Girard(int nv, Vec *V) { int i, j, ibad; double area; double lon, lat; Vec side[16]; double ang[16]; Vec tmp; double sumang, cosAng, sinAng; sumang = 0; if (nv < 3) return 0; if (DEBUG >= 4) { for (i = 0; i < nv; ++i) { lon = atan2(V[i].y, V[i].x) / DEG_TO_RADIANS; lat = asin(V[i].z) / DEG_TO_RADIANS; printf("Girard(): %3d [%13.6e,%13.6e,%13.6e] -> (%10.6f,%10.6f)\n", i, V[i].x, V[i].y, V[i].z, lon, lat); fflush(stdout); } } for (i = 0; i < nv; ++i) { Cross(&V[i], &V[(i + 1) % nv], &side[i]); } // De-duplicate vertices that are extremely close to each other otherwise // the angles determined in the next steps are not accurate. Need to loop // backwards to avoid affecting future sides that need to be checked. for (i = nv - 1; i >= 0; --i) { // We don't use TOLERANCE here since it is too large for our purposes here if (Dot(&side[i], &side[i]) < 1e-30) { if (DEBUG >= 4) { printf("Girard(): ---------- Corner %d duplicate; " "Remove point %d -------------\n", i, i); fflush(stdout); } --nv; for (j = i; j < nv; ++j) { V[j].x = V[j + 1].x; V[j].y = V[j + 1].y; V[j].z = V[j + 1].z; side[j].x = side[j + 1].x; side[j].y = side[j + 1].y; side[j].z = side[j + 1].z; } } } if (nv < 3) return 0; for (i = 0; i < nv; ++i) { Normalize(&side[i]); } for (i = 0; i < nv; ++i) { Cross(&side[i], &side[(i + 1) % nv], &tmp); sinAng = Normalize(&tmp); cosAng = -Dot(&side[i], &side[(i + 1) % nv]); // Remove center point of colinear segments ang[i] = atan2(sinAng, cosAng); if (DEBUG >= 4) { if (i == 0) printf("\n"); printf("Girard(): angle[%d] = %13.6e -> %13.6e (from %13.6e / %13.6e)\n", i, ang[i], ang[i] - M_PI / 2., sinAng, cosAng); fflush(stdout); } // Direction changes of less than a degree can be tricky if (ang[i] > M_PI - 0.0175) { ibad = (i + 1) % nv; if (DEBUG >= 4) { printf("Girard(): ---------- Corner %d bad; " "Remove point %d -------------\n", i, ibad); fflush(stdout); } --nv; for (j = ibad; j < nv; ++j) { V[j].x = V[j + 1].x; V[j].y = V[j + 1].y; V[j].z = V[j + 1].z; } return (Girard(nv, V)); } sumang += ang[i]; } area = sumang - (nv - 2.) * M_PI; if (mNaN(area) || area < 0.) area = 0.; if (DEBUG >= 4) { printf("\nGirard(): area = %13.6e [%d]\n\n", area, nv); fflush(stdout); } return area; } /* * Check the vertex list for adjacent pairs of * points which are too close together for the * subsequent dot- and cross-product calculations * of Girard's theorem. */ void RemoveDups(int *nv, Vec *V) { int i, nvnew; Vec Vnew[16]; Vec tmp; double lon, lat; double separation; if (DEBUG >= 4) { printf("RemoveDups() TOLERANCE = %13.6e [%13.6e arcsec]\n\n", TOLERANCE, TOLERANCE / DEG_TO_RADIANS * 3600.); for (i = 0; i < *nv; ++i) { lon = atan2(V[i].y, V[i].x) / DEG_TO_RADIANS; lat = asin(V[i].z) / DEG_TO_RADIANS; printf("RemoveDups() orig: %3d [%13.6e,%13.6e,%13.6e] " "-> (%10.6f,%10.6f)\n", i, V[i].x, V[i].y, V[i].z, lon, lat); fflush(stdout); } printf("\n"); } Vnew[0].x = V[0].x; Vnew[0].y = V[0].y; Vnew[0].z = V[0].z; nvnew = 0; for (i = 0; i < *nv; ++i) { ++nvnew; Vnew[nvnew].x = V[(i + 1) % *nv].x; Vnew[nvnew].y = V[(i + 1) % *nv].y; Vnew[nvnew].z = V[(i + 1) % *nv].z; Cross(&V[i], &V[(i + 1) % *nv], &tmp); separation = Normalize(&tmp); if (DEBUG >= 4) { printf("RemoveDups(): %3d x %3d: distance = %13.6e " "[%13.6e arcsec] (would become %d)\n", (i + 1) % *nv, i, separation, separation / DEG_TO_RADIANS * 3600., nvnew); fflush(stdout); } if (separation < TOLERANCE) { --nvnew; if (DEBUG >= 4) { printf("RemoveDups(): %3d is a duplicate (nvnew -> %d)\n", i, nvnew); fflush(stdout); } } } if (DEBUG >= 4) { printf("\n"); fflush(stdout); } if (nvnew < *nv) { for (i = 0; i < nvnew; ++i) { V[i].x = Vnew[i].x; V[i].y = Vnew[i].y; V[i].z = Vnew[i].z; } *nv = nvnew; } } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/spherical_intersect/overlapArea.h0000644000175100001770000000031314716755202023646 0ustar00runnerdocker#ifndef OVERLAP_AREA #define OVERLAP_AREA double computeOverlap(double *ilon, double *ilat, double *olon, double *olat, int energyMode, double refArea, double *areaRatio); #endif ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/spherical_intersect/overlapAreaPP.c0000644000175100001770000001063514716755202024111 0ustar00runnerdocker/* Methods to compute pixel overlap areas in the plane. * * Originally developed in 2003 / 2004 by John Good. */ #include double computeOverlapPP(double *ix, double *iy, double minX, double maxX, double minY, double maxY, double pixelArea); double polyArea(int npts, double *nx, double *ny); int rectClip(int n, double *x, double *y, double *nx, double *ny, double minX, double minY, double maxX, double maxY); int lineClip(int n, double *x, double *y, double *nx, double *ny, double val, int dir); int inPlane(double test, double divider, int direction); int ptInPoly(double x, double y, int n, double *xp, double *yp); // Global variables double tmpX0[100]; double tmpX1[100]; double tmpY0[100]; double tmpY1[100]; /* * Sets up the polygons, runs the overlap * computation, and returns the area of overlap. * This version works in pixel space rather than * on the celestial sphere. */ double computeOverlapPP(double *ix, double *iy, double minX, double maxX, double minY, double maxY, double pixelArea) { int npts; double area; double nx[100]; double ny[100]; double xp[4], yp[4]; // Clip the input pixel polygon with the output pixel range npts = rectClip(4, ix, iy, nx, ny, minX, minY, maxX, maxY); // If no points, it may mean that the output is // completely contained in the input if (npts < 3) { xp[0] = minX; yp[0] = minY; xp[1] = maxX; yp[1] = minY; xp[2] = maxX; yp[2] = maxY; xp[3] = minX; yp[3] = maxY; if (ptInPoly(ix[0], iy[0], 4, xp, yp)) { area = pixelArea; return area; } return 0.; } area = polyArea(npts, nx, ny) * pixelArea; return area; } int rectClip(int n, double *x, double *y, double *nx, double *ny, double minX, double minY, double maxX, double maxY) { int nCurr; nCurr = lineClip(n, x, y, tmpX0, tmpY0, minX, 1); if (nCurr > 0) { nCurr = lineClip(nCurr, tmpX0, tmpY0, tmpX1, tmpY1, maxX, 0); if (nCurr > 0) { nCurr = lineClip(nCurr, tmpY1, tmpX1, tmpY0, tmpX0, minY, 1); if (nCurr > 0) { nCurr = lineClip(nCurr, tmpY0, tmpX0, ny, nx, maxY, 0); } } } return nCurr; } int lineClip(int n, double *x, double *y, double *nx, double *ny, double val, int dir) { int i; int nout; int last; double ycross; nout = 0; last = inPlane(x[n - 1], val, dir); for (i = 0; i < n; ++i) { if (last) { if (inPlane(x[i], val, dir)) { // Both endpoints in, just add the new point nx[nout] = x[i]; ny[nout] = y[i]; ++nout; } else { // Moved out of the clip region, add the point we moved out if (i == 0) ycross = y[n - 1] + (y[0] - y[n - 1]) * (val - x[n - 1]) / (x[0] - x[n - 1]); else ycross = y[i - 1] + (y[i] - y[i - 1]) * (val - x[i - 1]) / (x[i] - x[i - 1]); nx[nout] = val; ny[nout] = ycross; ++nout; last = 0; } } else { if (inPlane(x[i], val, dir)) { // Moved into the clip region. // Add the point we moved in, and the end point. if (i == 0) ycross = y[n - 1] + (y[0] - y[n - 1]) * (val - x[n - 1]) / (x[i] - x[n - 1]); else ycross = y[i - 1] + (y[i] - y[i - 1]) * (val - x[i - 1]) / (x[i] - x[i - 1]); nx[nout] = val; ny[nout] = ycross; ++nout; nx[nout] = x[i]; ny[nout] = y[i]; ++nout; last = 1; } else { // Segment entirely clipped. } } } return nout; } int inPlane(double test, double divider, int direction) { if (direction) return test >= divider; else return test <= divider; } double polyArea(int npts, double *nx, double *ny) { int i, inext; double area; area = 0.; for (i = 0; i < npts; ++i) { inext = (i + 1) % npts; area += nx[i] * ny[inext] - nx[inext] * ny[i]; } area = fabs(area) / 2; return area; } int ptInPoly(double x, double y, int n, double *xp, double *yp) { int i, inext, count; double t; count = 0; for (i = 0; i < n; ++i) { inext = (i + 1) % n; if (((yp[i] <= y) && (yp[inext] > y)) || ((yp[i] > y) && (yp[inext] <= y))) { t = (y - yp[i]) / (yp[inext] - yp[i]); if (x < xp[i] + t * (xp[inext] - xp[i])) ++count; } } return (count & 1); } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/spherical_intersect/reproject_slice_c.c0000644000175100001770000001104114716755202025056 0ustar00runnerdocker#include "overlapArea.h" #include "reproject_slice_c.h" #if defined(_MSC_VER) #define INLINE _inline #else #define INLINE inline #endif static INLINE double min_4(const double *ptr) { double retval = ptr[0]; int i; for (i = 1; i < 4; ++i) { if (ptr[i] < retval) { retval = ptr[i]; } } return retval; } static INLINE double max_4(const double *ptr) { double retval = ptr[0]; int i; for (i = 1; i < 4; ++i) { if (ptr[i] > retval) { retval = ptr[i]; } } return retval; } static INLINE double to_rad(double x) { return x * 0.017453292519943295; } // Kernel for overlap computation. static INLINE void _compute_overlap(double *overlap, double *area_ratio, double *ilon, double *ilat, double *olon, double *olat) { overlap[0] = computeOverlap(ilon,ilat,olon,olat,0,1,area_ratio); } #define GETPTR2(x,ncols,i,j) (x + (i) * (ncols) + (j)) #define GETPTRILON(x,i,j) (x + (j)) void _reproject_slice_c(int startx, int endx, int starty, int endy, int nx_out, int ny_out, double *xp_inout, double *yp_inout, double *xw_in, double *yw_in, double *xw_out, double *yw_out, double *array, double *array_new, double *weights, int col_in, int col_out, int col_array, int col_new) { int i, j, ii, jj, xmin, xmax, ymin, ymax; double ilon[4], ilat[4], olon[4], olat[4], minmax_x[4], minmax_y[4]; double overlap, area_ratio, original; // Main loop. for (i = startx; i < endx; ++i) { for (j = starty; j < endy; ++j) { // For every input pixel we find the position in the output image in // pixel coordinates, then use the full range of overlapping output // pixels with the exact overlap function. minmax_x[0] = *GETPTR2(xp_inout,col_in,j,i); minmax_x[1] = *GETPTR2(xp_inout,col_in,j,i + 1); minmax_x[2] = *GETPTR2(xp_inout,col_in,j + 1,i + 1); minmax_x[3] = *GETPTR2(xp_inout,col_in,j + 1,i); minmax_y[0] = *GETPTR2(yp_inout,col_in,j,i); minmax_y[1] = *GETPTR2(yp_inout,col_in,j,i + 1); minmax_y[2] = *GETPTR2(yp_inout,col_in,j + 1,i + 1); minmax_y[3] = *GETPTR2(yp_inout,col_in,j + 1,i); xmin = (int)(min_4(minmax_x) + .5); xmax = (int)(max_4(minmax_x) + .5); ymin = (int)(min_4(minmax_y) + .5); ymax = (int)(max_4(minmax_y) + .5); // Fill in ilon/ilat. ilon[0] = to_rad(*GETPTR2(xw_in,col_in,j+1,i)); ilon[1] = to_rad(*GETPTR2(xw_in,col_in,j+1,i+1)); ilon[2] = to_rad(*GETPTR2(xw_in,col_in,j,i+1)); ilon[3] = to_rad(*GETPTR2(xw_in,col_in,j,i)); ilat[0] = to_rad(*GETPTR2(yw_in,col_in,j+1,i)); ilat[1] = to_rad(*GETPTR2(yw_in,col_in,j+1,i+1)); ilat[2] = to_rad(*GETPTR2(yw_in,col_in,j,i+1)); ilat[3] = to_rad(*GETPTR2(yw_in,col_in,j,i)); xmin = xmin > 0 ? xmin : 0; xmax = (nx_out-1) < xmax ? (nx_out-1) : xmax; ymin = ymin > 0 ? ymin : 0; ymax = (ny_out-1) < ymax ? (ny_out-1) : ymax; for (ii = xmin; ii < xmax + 1; ++ii) { for (jj = ymin; jj < ymax + 1; ++jj) { // Fill out olon/olat. olon[0] = to_rad(*GETPTR2(xw_out,col_out,jj+1,ii)); olon[1] = to_rad(*GETPTR2(xw_out,col_out,jj+1,ii+1)); olon[2] = to_rad(*GETPTR2(xw_out,col_out,jj,ii+1)); olon[3] = to_rad(*GETPTR2(xw_out,col_out,jj,ii)); olat[0] = to_rad(*GETPTR2(yw_out,col_out,jj+1,ii)); olat[1] = to_rad(*GETPTR2(yw_out,col_out,jj+1,ii+1)); olat[2] = to_rad(*GETPTR2(yw_out,col_out,jj,ii+1)); olat[3] = to_rad(*GETPTR2(yw_out,col_out,jj,ii)); // Compute the overlap. _compute_overlap(&overlap,&area_ratio,ilon,ilat,olon,olat); _compute_overlap(&original,&area_ratio,olon,olat,olon,olat); // Write into array_new and weights. *GETPTR2(array_new,col_new,jj,ii) += *GETPTR2(array,col_array,j,i) * (overlap / original); *GETPTR2(weights,col_new,jj,ii) += (overlap / original); } } } } } ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/spherical_intersect/reproject_slice_c.h0000644000175100001770000000056414716755202025073 0ustar00runnerdocker#ifndef REPROJECT_SLICE_C_H #define REPROJECT_SLICE_C_H void _reproject_slice_c(int startx, int endx, int starty, int endy, int nx_out, int ny_out, double *xp_inout, double *yp_inout, double *xw_in, double *yw_in, double *xw_out, double *yw_out, double *array, double *array_new, double *weights, int col_in, int col_out, int col_array, int col_new); #endif ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/spherical_intersect/setup_package.py0000644000175100001770000000211014716755202024416 0ustar00runnerdockerimport os import numpy as np from setuptools import Extension REPROJECT_ROOT = os.path.relpath(os.path.dirname(__file__)) def get_extensions(): libraries = [] sources = [] sources.append(os.path.join(REPROJECT_ROOT, "_overlap.pyx")) sources.append(os.path.join(REPROJECT_ROOT, "overlapArea.c")) sources.append(os.path.join(REPROJECT_ROOT, "reproject_slice_c.c")) include_dirs = [np.get_include()] include_dirs.append(REPROJECT_ROOT) # Note that to set the DEBUG variable in the overlapArea.c code, which # results in debugging information being printed out, you can set # DEBUG_OVERLAP_AREA=1 at build-time. if int(os.environ.get("DEBUG_OVERLAP_AREA", 0)): define_macros = [("DEBUG_OVERLAP_AREA", 1)] else: define_macros = None extension = Extension( name="reproject.spherical_intersect._overlap", sources=sources, include_dirs=include_dirs, libraries=libraries, language="c", extra_compile_args=["-O2"], define_macros=define_macros, ) return [extension] ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1731975823.5836382 reproject-0.14.1/reproject/spherical_intersect/tests/0000755000175100001770000000000014716755220022401 5ustar00runnerdocker././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/spherical_intersect/tests/__init__.py0000644000175100001770000000000014716755202024500 0ustar00runnerdocker././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/spherical_intersect/tests/test_high_level.py0000644000175100001770000001733414716755202026130 0ustar00runnerdocker# Licensed under a 3-clause BSD style license - see LICENSE.rst import warnings import numpy as np import pytest from astropy.io import fits from astropy.utils.data import get_pkg_data_filename from astropy.wcs import WCS from numpy.testing import assert_allclose from ..high_level import reproject_exact class TestReprojectExact: def setup_class(self): header_gal = get_pkg_data_filename("../../tests/data/gc_ga.hdr") header_equ = get_pkg_data_filename("../../tests/data/gc_eq.hdr") self.header_in = fits.Header.fromtextfile(header_gal) self.header_out = fits.Header.fromtextfile(header_equ) self.header_out["NAXIS"] = 2 self.header_out["NAXIS1"] = 600 self.header_out["NAXIS2"] = 550 self.array_in = np.ones((100, 100)) self.wcs_in = WCS(self.header_in) self.wcs_out = WCS(self.header_out) def test_array_wcs(self): reproject_exact((self.array_in, self.wcs_in), self.wcs_out, shape_out=(200, 200)) def test_array_header(self): reproject_exact((self.array_in, self.header_in), self.header_out) def test_parallel_option(self): reproject_exact((self.array_in, self.header_in), self.header_out, parallel=1) with pytest.raises(ValueError) as exc: reproject_exact((self.array_in, self.header_in), self.header_out, parallel=-1) assert exc.value.args[0] == "The number of processors to use must be strictly positive" def test_reproject_parallel_consistency(self): reproject_exact((self.array_in, self.header_in), self.header_out, parallel=1) array1, footprint1 = reproject_exact( (self.array_in, self.header_in), self.header_out, parallel=False ) array2, footprint2 = reproject_exact( (self.array_in, self.header_in), self.header_out, parallel=4 ) np.testing.assert_allclose(array1, array2, rtol=1.0e-5) np.testing.assert_allclose(footprint1, footprint2, rtol=3.0e-5) def test_identity(): # Reproject an array and WCS to itself wcs = WCS(naxis=2) wcs.wcs.ctype = "RA---TAN", "DEC--TAN" wcs.wcs.crpix = 322, 151 wcs.wcs.crval = 43, 23 wcs.wcs.cdelt = -0.1, 0.1 wcs.wcs.equinox = 2000.0 np.random.seed(1249) array_in = np.random.random((423, 344)) array_out, footprint = reproject_exact((array_in, wcs), wcs, shape_out=array_in.shape) assert_allclose(array_out, array_in, atol=1e-10) def test_reproject_precision_warning(): for res in [0.1 / 3600, 0.01 / 3600]: wcs1 = WCS() wcs1.wcs.ctype = "RA---TAN", "DEC--TAN" wcs1.wcs.crval = 13, 80 wcs1.wcs.crpix = 10.0, 10.0 wcs1.wcs.cdelt = res, res wcs2 = WCS() wcs2.wcs.ctype = "RA---TAN", "DEC--TAN" wcs2.wcs.crval = 13, 80 wcs2.wcs.crpix = 3, 3 wcs2.wcs.cdelt = 3 * res, 3 * res array = np.zeros((19, 19)) array[9, 9] = 1 if res < 0.05 / 3600: with pytest.warns( UserWarning, match="The reproject_exact function currently has precision" ): reproject_exact((array, wcs1), wcs2, shape_out=(5, 5)) else: with warnings.catch_warnings(record=True) as w: reproject_exact((array, wcs1), wcs2, shape_out=(5, 5)) assert len(w) == 0 def _setup_for_broadcast_test(): with fits.open(get_pkg_data_filename("data/galactic_2d.fits", package="reproject.tests")) as pf: hdu_in = pf[0] header_in = hdu_in.header.copy() header_out = hdu_in.header.copy() header_out["CTYPE1"] = "RA---TAN" header_out["CTYPE2"] = "DEC--TAN" header_out["CRVAL1"] = 266.39311 header_out["CRVAL2"] = -28.939779 data = hdu_in.data image_stack = np.stack((data, data.T, data[::-1], data[:, ::-1])) # Build the reference array through un-broadcast reprojections array_ref = [] footprint_ref = [] for i in range(len(image_stack)): array_out, footprint_out = reproject_exact((image_stack[i], header_in), header_out) array_ref.append(array_out) footprint_ref.append(footprint_out) array_ref = np.stack(array_ref) footprint_ref = np.stack(footprint_ref) return image_stack, array_ref, footprint_ref, header_in, header_out @pytest.mark.parametrize("input_extra_dims", (1, 2)) @pytest.mark.parametrize("output_shape", (None, "single", "full")) @pytest.mark.parametrize("input_as_wcs", (True, False)) @pytest.mark.parametrize("output_as_wcs", (True, False)) def test_broadcast_reprojection(input_extra_dims, output_shape, input_as_wcs, output_as_wcs): image_stack, array_ref, footprint_ref, header_in, header_out = _setup_for_broadcast_test() # Test both single and multiple dimensions being broadcast if input_extra_dims == 2: image_stack = image_stack.reshape((2, 2, *image_stack.shape[-2:])) array_ref.shape = image_stack.shape footprint_ref.shape = image_stack.shape # Test different ways of providing the output shape if output_shape == "single": # Have the broadcast dimensions be auto-added to the output shape output_shape = image_stack.shape[-2:] elif output_shape == "full": # Provide the broadcast dimensions as part of the output shape output_shape = image_stack.shape # Ensure logic works with WCS inputs as well as Header inputs if input_as_wcs: header_in = WCS(header_in) if output_as_wcs: header_out = WCS(header_out) if output_shape is None: # This combination of parameter values is not valid return array_broadcast, footprint_broadcast = reproject_exact( (image_stack, header_in), header_out, output_shape ) np.testing.assert_allclose(footprint_broadcast, footprint_ref) np.testing.assert_allclose(array_broadcast, array_ref) @pytest.mark.parametrize("input_extra_dims", (1, 2)) @pytest.mark.parametrize("output_shape", (None, "single", "full")) @pytest.mark.parametrize("parallel", (2, False)) def test_broadcast_parallel_reprojection(input_extra_dims, output_shape, parallel): image_stack, array_ref, footprint_ref, header_in, header_out = _setup_for_broadcast_test() # Test both single and multiple dimensions being broadcast if input_extra_dims == 2: image_stack = image_stack.reshape((2, 2, *image_stack.shape[-2:])) array_ref.shape = image_stack.shape footprint_ref.shape = image_stack.shape # Test different ways of providing the output shape if output_shape == "single": # Have the broadcast dimensions be auto-added to the output shape output_shape = image_stack.shape[-2:] elif output_shape == "full": # Provide the broadcast dimensions as part of the output shape output_shape = image_stack.shape array_broadcast, footprint_broadcast = reproject_exact( (image_stack, header_in), header_out, output_shape, parallel=parallel ) np.testing.assert_allclose(footprint_broadcast, footprint_ref) np.testing.assert_allclose(array_broadcast, array_ref) def test_exact_input_output_types(valid_celestial_input_data, valid_celestial_output_projections): # Check that all valid input/output types work properly array_ref, wcs_in_ref, input_value, kwargs_in = valid_celestial_input_data wcs_out_ref, shape_ref, output_value, kwargs_out = valid_celestial_output_projections # Compute reference output_ref, footprint_ref = reproject_exact( (array_ref, wcs_in_ref), wcs_out_ref, shape_out=shape_ref ) # Compute test output_test, footprint_test = reproject_exact( input_value, output_value, **kwargs_in, **kwargs_out ) assert_allclose(output_ref, output_test) assert_allclose(footprint_ref, footprint_test) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/spherical_intersect/tests/test_overlap.py0000644000175100001770000000317014716755202025463 0ustar00runnerdockerfrom itertools import product import numpy as np import pytest from ..overlap import compute_overlap def test_full_overlap(): EPS = np.radians(1e-2) lon, lat = np.array([[0, EPS, EPS, 0]]), np.array([[0, 0, EPS, EPS]]) overlap, area_ratio = compute_overlap(lon, lat, lon, lat) np.testing.assert_allclose(overlap, EPS**2, rtol=1e-6) np.testing.assert_allclose(area_ratio, 1, rtol=1e-6) def test_partial_overlap(): EPS = np.radians(1e-2) ilon = np.array([[0, EPS, EPS, 0]]) ilat = np.array([[0, 0, EPS, EPS]]) olon = np.array([[0.5 * EPS, 1.5 * EPS, 1.5 * EPS, 0.5 * EPS]]) olat = np.array([[0, 0, EPS, EPS]]) overlap, area_ratio = compute_overlap(ilon, ilat, olon, olat) np.testing.assert_allclose(overlap, 0.5 * EPS**2, rtol=1e-6) np.testing.assert_allclose(area_ratio, 1, rtol=1e-6) @pytest.mark.parametrize(("clockwise1", "clockwise2"), product([False, True], [False, True])) def test_overlap_direction(clockwise1, clockwise2): # Regression test for a bug that caused the calculation to fail if one or # both of the polygons were clockwise EPS = np.radians(1e-2) ilon = np.array([[0, EPS, EPS, 0]]) ilat = np.array([[0, 0, EPS, EPS]]) olon = np.array([[0.5 * EPS, 1.5 * EPS, 1.5 * EPS, 0.5 * EPS]]) olat = np.array([[0, 0, EPS, EPS]]) if clockwise1: ilon, ilat = ilon[:, ::-1], ilat[:, ::-1] if clockwise2: olon, olat = olon[:, ::-1], olat[:, ::-1] overlap, area_ratio = compute_overlap(ilon, ilat, olon, olat) np.testing.assert_allclose(overlap, 0.5 * EPS**2, rtol=1e-6) np.testing.assert_allclose(area_ratio, 1, rtol=1e-6) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/spherical_intersect/tests/test_reproject.py0000644000175100001770000001157714716755202026022 0ustar00runnerdocker# Licensed under a 3-clause BSD style license - see LICENSE.rst import numpy as np import pytest from astropy.io import fits from astropy.utils.data import get_pkg_data_filename from astropy.wcs import WCS from ...interpolation.tests.test_core import as_high_level_wcs from ..core import _reproject_celestial def test_reproject_celestial_slices_2d(): header_in = fits.Header.fromtextfile(get_pkg_data_filename("../../tests/data/gc_ga.hdr")) header_out = fits.Header.fromtextfile(get_pkg_data_filename("../../tests/data/gc_eq.hdr")) array_in = np.ones((100, 100)) wcs_in = WCS(header_in) wcs_out = WCS(header_out) _reproject_celestial(array_in, wcs_in, wcs_out, (200, 200)) DATA = np.array([[1, 2], [3, 4]], dtype=np.int64) INPUT_HDR = """ WCSAXES = 2 / Number of coordinate axes CRPIX1 = 299.628 / Pixel coordinate of reference point CRPIX2 = 299.394 / Pixel coordinate of reference point CDELT1 = -0.001666666 / [deg] Coordinate increment at reference point CDELT2 = 0.001666666 / [deg] Coordinate increment at reference point CUNIT1 = 'deg' / Units of coordinate increment and value CUNIT2 = 'deg' / Units of coordinate increment and value CTYPE1 = 'GLON-CAR' / galactic longitude, plate caree projection CTYPE2 = 'GLAT-CAR' / galactic latitude, plate caree projection CRVAL1 = 0.0 / [deg] Coordinate value at reference point CRVAL2 = 0.0 / [deg] Coordinate value at reference point LONPOLE = 0.0 / [deg] Native longitude of celestial pole LATPOLE = 90.0 / [deg] Native latitude of celestial pole """ OUTPUT_HDR = """ WCSAXES = 2 / Number of coordinate axes CRPIX1 = 2.5 / Pixel coordinate of reference point CRPIX2 = 2.5 / Pixel coordinate of reference point CDELT1 = -0.001500000 / [deg] Coordinate increment at reference point CDELT2 = 0.001500000 / [deg] Coordinate increment at reference point CUNIT1 = 'deg' / Units of coordinate increment and value CUNIT2 = 'deg' / Units of coordinate increment and value CTYPE1 = 'RA---TAN' / Right ascension, gnomonic projection CTYPE2 = 'DEC--TAN' / Declination, gnomonic projection CRVAL1 = 267.183880241 / [deg] Coordinate value at reference point CRVAL2 = -28.768527143 / [deg] Coordinate value at reference point LONPOLE = 180.0 / [deg] Native longitude of celestial pole LATPOLE = -28.768527143 / [deg] Native latitude of celestial pole EQUINOX = 2000.0 / [yr] Equinox of equatorial coordinates """ MONTAGE_REF = np.array( [ [np.nan, 2.0, 2.0, np.nan], [1.0, 1.6768244, 3.35364754, 4.0], [1.0, 1.6461656, 3.32308315, 4.0], [np.nan, 3.0, 3.0, np.nan], ] ) @pytest.mark.parametrize("wcsapi", (False, True)) def test_reproject_celestial_montage(wcsapi): # Accuracy compared to Montage wcs_in = WCS(fits.Header.fromstring(INPUT_HDR, sep="\n")) wcs_out = WCS(fits.Header.fromstring(OUTPUT_HDR, sep="\n")) if wcsapi: # Enforce a pure wcsapi API wcs_in, wcs_out = as_high_level_wcs(wcs_in), as_high_level_wcs(wcs_out) array, footprint = _reproject_celestial(DATA, wcs_in, wcs_out, (4, 4)) # TODO: improve agreement with Montage - at the moment agreement is ~10% np.testing.assert_allclose(array, MONTAGE_REF, rtol=0.09) def test_reproject_flipping(): # Regression test for a bug that caused issues when the WCS was oriented # in a way that meant polygon vertices were clockwise. wcs_in = WCS(fits.Header.fromstring(INPUT_HDR, sep="\n")) wcs_out = WCS(fits.Header.fromstring(OUTPUT_HDR, sep="\n")) array1, footprint1 = _reproject_celestial(DATA, wcs_in, wcs_out, (4, 4)) # Repeat with an input that is flipped horizontally with the equivalent WCS wcs_in_flipped = WCS(fits.Header.fromstring(INPUT_HDR, sep="\n")) wcs_in_flipped.wcs.cdelt[0] = -wcs_in_flipped.wcs.cdelt[0] wcs_in_flipped.wcs.crpix[0] = 3 - wcs_in_flipped.wcs.crpix[0] array2, footprint2 = _reproject_celestial(DATA[:, ::-1], wcs_in_flipped, wcs_out, (4, 4)) # Repeat with an output that is flipped horizontally with the equivalent WCS wcs_out_flipped = WCS(fits.Header.fromstring(OUTPUT_HDR, sep="\n")) wcs_out_flipped.wcs.cdelt[0] = -wcs_out_flipped.wcs.cdelt[0] wcs_out_flipped.wcs.crpix[0] = 5 - wcs_out_flipped.wcs.crpix[0] array3, footprint3 = _reproject_celestial(DATA, wcs_in, wcs_out_flipped, (4, 4)) array3, footprint3 = array3[:, ::-1], footprint3[:, ::-1] np.testing.assert_allclose(array1, array2, rtol=1.0e-5) np.testing.assert_allclose(array1, array3, rtol=1.0e-5) np.testing.assert_allclose(footprint1, footprint2, rtol=3.0e-5) np.testing.assert_allclose(footprint1, footprint3, rtol=3.0e-5) ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1731975823.5836382 reproject-0.14.1/reproject/tests/0000755000175100001770000000000014716755220016347 5ustar00runnerdocker././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/tests/__init__.py0000644000175100001770000000000014716755202020446 0ustar00runnerdocker././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1731975823.5876381 reproject-0.14.1/reproject/tests/data/0000755000175100001770000000000014716755220017260 5ustar00runnerdocker././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/tests/data/aia_171_level1.asdf0000644000175100001770000042611114716755202022516 0ustar00runnerdocker#ASDF 1.0.0 #ASDF_STANDARD 1.5.0 %YAML 1.1 %TAG ! tag:stsci.edu:asdf/ --- !core/asdf-1.1.0 asdf_library: !core/software-1.0.0 {author: The ASDF Developers, homepage: 'http://github.com/asdf-format/asdf', name: asdf, version: 3.3.0} history: extensions: - !core/extension_metadata-1.0.0 extension_class: asdf.extension._manifest.ManifestExtension extension_uri: asdf://asdf-format.org/core/extensions/core-1.5.0 manifest_software: !core/software-1.0.0 {name: asdf_standard, version: 1.1.1} software: !core/software-1.0.0 {name: asdf-astropy, version: 0.6.1} - !core/extension_metadata-1.0.0 extension_class: asdf.extension._manifest.ManifestExtension extension_uri: asdf://asdf-format.org/astronomy/gwcs/extensions/gwcs-1.2.0 manifest_software: !core/software-1.0.0 {name: asdf_wcs_schemas, version: 0.4.0} software: !core/software-1.0.0 {name: gwcs, version: 0.21.0} - !core/extension_metadata-1.0.0 extension_class: asdf.extension._manifest.ManifestExtension extension_uri: asdf://asdf-format.org/transform/extensions/transform-1.5.0 manifest_software: !core/software-1.0.0 {name: asdf_transform_schemas, version: 0.5.0} software: !core/software-1.0.0 {name: asdf-astropy, version: 0.6.1} - !core/extension_metadata-1.0.0 extension_class: asdf.extension._manifest.ManifestExtension extension_uri: asdf://astropy.org/astropy/extensions/units-1.0.0 software: !core/software-1.0.0 {name: asdf-astropy, version: 0.6.1} - !core/extension_metadata-1.0.0 extension_class: asdf.extension._manifest.ManifestExtension extension_uri: asdf://sunpy.org/extensions/sunpy-1.1.1 software: !core/software-1.0.0 {name: sunpy, version: 6.0.2} - !core/extension_metadata-1.0.0 extension_class: asdf.extension._manifest.ManifestExtension extension_uri: asdf://asdf-format.org/astronomy/coordinates/extensions/coordinates-1.1.0 manifest_software: !core/software-1.0.0 {name: asdf_coordinates_schemas, version: 0.3.0} software: !core/software-1.0.0 {name: asdf-astropy, version: 0.6.1} data: !core/ndarray-1.0.0 source: 0 datatype: float64 byteorder: big shape: [128, 128] meta: acs_cgt: GT3 acs_eclp: 'NO' acs_mode: SCIENCE acs_safe: 'NO' acs_sunp: 'YES' aecdelay: 1537 aecmode: 'ON' aectype: 0 agt1svy: 1 agt1svz: 5 agt2svy: -5 agt2svz: -8 agt3svy: 0 agt3svz: 1 agt4svy: -3 agt4svz: -4 aiaecenf: 1 aiaecti: 0 aiagp1: 0 aiagp10: 748 aiagp2: 0 aiagp3: 0 aiagp4: 0 aiagp5: 0 aiagp6: 0 aiagp7: 0 aiagp8: 393 aiagp9: 457 aiahfsn: 20781653 aiasen: 0 aiawvlen: 7 aicfgdl1: 0 aicfgdl2: 137 aicfgdl3: 201 aicfgdl4: 236 aifcps: 10 aifdbid: 241 aifiltyp: 0 aifoenfl: 1 aifrmlid: 3024 aiftsid: 40960 aiftswth: 0 aifwen: 204 aihis192: 8383997 aihis348: 8388492 aihis604: 8388603 aihis860: 8388604 aihismxb: 7 aimgfsn: 5 aimgots: 1676419235 aimgotss: 5190 aimgshce: 2000 aimgshen: 13 aimgtyp: 0 aimshcbc: 2054.947998 aimshcbe: 2068.855957 aimshctc: 2040.828003 aimshcte: 2025.891968 aimshobc: 54.832001 aimshobe: 68.835999 aimshotc: 40.560001 aimshote: 25.532 aistate: CLOSED aivnmst: 453 asd_rec: sdo.lev0_asd_0004[:#8247022] asqfsn: 20781661 asqhdr: 2168265309 asqtnum: 2 bitpix: -64 blank: -32768 bld_vers: V5R12X camera: 3 car_rot: 2106 cdelt1: 19.183648 cdelt2: 19.183648 comment: 'FITS (Flexible Image Transport System) format is defined in ''Astronomy and Astrophysics'', volume 376, page 359; bibcode: 2001A&A...376..359H' crln_obs: 22.814522 crlt_obs: -6.820544 crota2: 0.019413 crpix1: 64.5 crpix2: 64.5 crval1: -4.532172209851069 crval2: 2.865574805180813 ctype1: HPLN-TAN ctype2: HPLT-TAN cunit1: arcsec cunit2: arcsec datacent: 240.91 datakurt: 21.51 datamax: 12115 datamean: 250.34 datamedn: 172 datamin: -6 datap01: 0.0 datap10: 8.0 datap25: 20.0 datap75: 360.0 datap90: 585.0 datap95: 807.0 datap98: 1138.0 datap99: 1474.0 datarms: 318.8 dataskew: 3.3 datavals: 16777216 date: '2012-10-12T23:56:57' date-obs: '2011-02-15T00:00:00.34' detector: AIA dn_gain: 17.7 dsun_obs: 147724815128.0 dsun_ref: 149597870691.0 eff_ar_v: 3.0 eff_area: 2.419 expsdev: 0.000132 exptime: 2.000191 fid: 0 flat_rec: aia.flatfield[:#7] fsn: 20781661 gaex_obs: 31180895.28 gaey_obs: 18270454.83 gaez_obs: -21726852.75 haex_obs: -122148412622.47 haey_obs: 83080597874.92 haez_obs: -23561780.5 hgln_obs: 0.0 hglt_obs: -6.820544 history: '' img_type: LIGHT imscl_mp: 0.599489 inst_rot: 0.019327 instrume: AIA_3 int_time: 2.273438 isppktim: '2011-02-14T23:59:57.50Z' isppktvn: '001.197' ispsname: aia.lev0_isp_0011 keycomments: {BITPIX: array data type, NAXIS: number of array dimensions, SIMPLE: conforms to FITS standard} keywddoc: http://www.lmsal.com/sdodocs/aiafitskeywords.pdf lvl_num: 1.0 missvals: 0 mpo_rec: sdo.master_pointing[:#377] naxis: 2 naxis1: 128 naxis2: 128 nsatpix: 0 nspikes: 18263 obs_vn: -3110.628437 obs_vr: 2812.012181 obs_vw: 30057.50278 orb_rec: sdo.fds_orbit_vectors[2011.02.15_00:00:00_UTC] origin: SDO/JSOC-SDP oscnmean: nan oscnrms: nan percentd: 100.0 pixlunit: DN quality: 0 quallev0: 0 r_sun: 1622.185913 recnum: 69981867 roi_llx1: -2147483648 roi_llx2: -2147483648 roi_lly1: -2147483648 roi_lly2: -2147483648 roi_nax1: -2147483648 roi_nax2: -2147483648 roi_nay1: -2147483648 roi_nay2: -2147483648 roi_nwin: -2147483648 roi_sum: -2147483648 rsun_obs: 971.812597 rsun_ref: 696000000.0 sat_rot: 8.6e-05 sat_y0: -9.619762 sat_z0: 10.103751 simple: true t_obs: '2011-02-15T00:00:01.34Z' t_rec: '2011-02-15T00:00:01Z' telescop: SDO/AIA tempccd: -69.667 tempfpad: 16.586 tempgt: 15.019 tempsmir: 34.703 totvals: 16777216 trecepoc: 1977.01.01_00:00:00_TAI trecroun: 1 trecstep: 1.0 wave_str: 171_THIN wavelnth: 171 waveunit: angstrom x0_mp: 2055.060059 y0_mp: 2042.719971 wcs: ! name: '' pixel_shape: null steps: - ! frame: ! axes_names: [x, y] axes_order: [0, 1] axis_physical_types: ['custom:x', 'custom:y'] name: Frame2D unit: [!unit/unit-1.0.0 pixel, !unit/unit-1.0.0 pixel] transform: !transform/compose-1.2.0 forward: - !transform/compose-1.2.0 forward: - !transform/compose-1.2.0 forward: - !transform/compose-1.2.0 forward: - !transform/concatenate-1.2.0 forward: - !transform/shift-1.2.0 inputs: [x] offset: !unit/quantity-1.1.0 {datatype: float64, unit: !unit/unit-1.0.0 pixel, value: -63.5} outputs: [y] - !transform/shift-1.2.0 inputs: [x] offset: !unit/quantity-1.1.0 {datatype: float64, unit: !unit/unit-1.0.0 pixel, value: -63.5} outputs: [y] inputs: [x0, x1] outputs: [y0, y1] - !transform/affine-1.3.0 inputs: [x, y] matrix: !unit/quantity-1.1.0 unit: !unit/unit-1.0.0 pixel value: !core/ndarray-1.0.0 source: 1 datatype: float64 byteorder: little shape: [2, 2] outputs: [x, y] translation: !unit/quantity-1.1.0 unit: !unit/unit-1.0.0 pixel value: !core/ndarray-1.0.0 source: 2 datatype: float64 byteorder: little shape: [2] inputs: [x0, x1] outputs: [x, y] - !transform/concatenate-1.2.0 forward: - !transform/multiplyscale-1.0.0 factor: !unit/quantity-1.1.0 {datatype: float64, unit: !unit/unit-1.0.0 arcsec.pixel**-1, value: 19.183648} inputs: [x] outputs: [y] - !transform/multiplyscale-1.0.0 factor: !unit/quantity-1.1.0 {datatype: float64, unit: !unit/unit-1.0.0 arcsec.pixel**-1, value: 19.183648} inputs: [x] outputs: [y] inputs: [x0, x1] outputs: [y0, y1] inputs: [x0, x1] outputs: [y0, y1] - !transform/gnomonic-1.2.0 direction: pix2sky inputs: [x, y] outputs: [phi, theta] inputs: [x0, x1] outputs: [phi, theta] - !transform/rotate3d-1.3.0 direction: native2celestial inputs: [phi_N, theta_N] outputs: [alpha_C, delta_C] phi: !unit/quantity-1.1.0 {datatype: float64, unit: !unit/unit-1.0.0 deg, value: -0.0012589367249586} psi: !unit/quantity-1.1.0 {datatype: float64, unit: !unit/unit-1.0.0 deg, value: 180.0} theta: !unit/quantity-1.1.0 {datatype: float64, unit: !unit/unit-1.0.0 deg, value: 0.00079599300143911} inputs: [x0, x1] outputs: [alpha_C, delta_C] - ! frame: ! axes_names: [Helioprojective Longitude, Helioprojective Latitude] axes_order: [0, 1] axis_physical_types: ['custom:Helioprojective Longitude', 'custom:Helioprojective Latitude'] name: CelestialFrame reference_frame: ! frame_attributes: observer: ! data: ! components: distance: !unit/quantity-1.1.0 {datatype: float64, unit: !unit/unit-1.0.0 m, value: 147724815127.99683} lat: ! {datatype: float64, unit: !unit/unit-1.0.0 deg, value: -6.821923074710443} lon: ! datatype: float64 unit: !unit/unit-1.0.0 deg value: 359.9868885126059 wrap_angle: ! { datatype: float64, unit: !unit/unit-1.0.0 deg, value: 360.0} type: SphericalRepresentation frame_attributes: obstime: !time/time-1.1.0 2011-02-15T00:00:01.340 rsun: !unit/quantity-1.1.0 {datatype: float64, unit: !unit/unit-1.0.0 km, value: 696000.0} obstime: !time/time-1.1.0 2011-02-15T00:00:01.340 rsun: !unit/quantity-1.1.0 {datatype: float64, unit: !unit/unit-1.0.0 km, value: 696000.0} unit: [!unit/unit-1.0.0 arcsec, !unit/unit-1.0.0 arcsec] transform: null ... 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DATAVALS= 16777216 AIMGSHEN= 13 AIMSHCTC= 2040.828003 AIFTSID = 40960 DATAP10 = 8.0 DATAP95 = 807.0 ROI_LLX2= -2147483648 DATAP90 = 585.0 T_OBS = '2011-02-15T00:00:01.34Z' AIVNMST = 453 DATAP98 = 1138.0 DATAP99 = 1474.0 AICFGDL4= 236 CRLT_OBS= -6.820544 AICFGDL1= 0 AICFGDL2= 137 AICFGDL3= 201 TOTVALS = 16777216 ACS_MODE= 'SCIENCE ' CROTA2 = 0.019413 AIMSHOBE= 68.835999 AIMSHOBC= 54.832001 TRECROUN= 1 AIHIS860= 8388604 R_SUN = 1622.185913 ORB_REC = 'sdo.fds_orbit_vectors[2011.02.15_00:00:00_UTC]' FID = 0 WAVE_STR= '171_THIN' DATAP25 = 20.0 AECDELAY= 1537 INT_TIME= 2.273438 TRECEPOC= '1977.01.01_00:00:00_TAI' TEMPSMIR= 34.703 AIMSHCBC= 2054.947998 SAT_Z0 = 10.103751 LVL_NUM = 1.0 ACS_SAFE= 'NO ' AIMSHCBE= 2068.855957 AIFOENFL= 1 AIFDBID = 241 AIMGOTS = 1676419235 CTYPE1 = 'HPLN-TAN' EXPTIME = 2.000191 QUALLEV0= 0 OBS_VN = -3110.628437 AIASEN = 0 AIFCPS = 10 TEMPCCD = -69.667 CDELT1 = 19.183648 CDELT2 = 19.183648 RSUN_REF= 696000000.0 DATE-OBS= '2011-02-15T00:00:00.34' AISTATE = 'CLOSED ' OBS_VW = 30057.50278 DATAMEAN= 250.34 DATARMS = 318.8 OBS_VR = 2812.012181 GAEX_OBS= 31180895.28 RSUN_OBS= 971.812597 AIAWVLEN= 7 INSTRUME= 'AIA_3 ' CAMERA = 3 BLANK = -32768 OSCNRMS = 'nan ' DN_GAIN = 17.7 OSCNMEAN= 'nan ' CTYPE2 = 'HPLT-TAN' ROI_LLX1= -2147483648 AIHIS348= 8388492 DATAKURT= 21.51 EFF_AREA= 2.419 AIFILTYP= 0 HAEX_OBS= -122148412622.47 ACS_ECLP= 'NO ' AGT1SVY = 1 ROI_NWIN= -2147483648 AGT1SVZ = 5 AIAECENF= 1 ASQFSN = 20781661 INST_ROT= 0.019327 PERCENTD= 100.0 ACS_CGT = 'GT3 ' TEMPGT = 15.019 HAEZ_OBS= -23561780.5 ASD_REC = 'sdo.lev0_asd_0004[:#8247022]' QUALITY = 0 ROI_SUM = -2147483648 DATASKEW= 3.3 TEMPFPAD= 16.586 MPO_REC = 'sdo.master_pointing[:#377]' ROI_NAX2= -2147483648 FSN = 20781661 ROI_NAX1= -2147483648 DSUN_REF= 149597870691.0 AIHISMXB= 7 PIXLUNIT= 'DN ' EXPSDEV = 0.000132 AIAHFSN = 20781653 CAR_ROT = 2106 HGLT_OBS= -6.820544 AIMGTYP = 0 CUNIT1 = 'arcsec ' ASQTNUM = 2 CUNIT2 = 'arcsec ' CRLN_OBS= 22.814522 ORIGIN = 'SDO/JSOC-SDP' ROI_NAY2= -2147483648 WAVEUNIT= 'angstrom' AIHIS604= 8388603 AIMGOTSS= 5190 NSPIKES = 18263 GAEZ_OBS= -21726852.75 NSATPIX = 0 DATAMIN = -6 IMSCL_MP= 0.599489 AIFRMLID= 3024 BLD_VERS= 'V5R12X ' CRVAL2 = 2.865574805180813 CRPIX1 = 64.5 CRPIX2 = 64.5 CRVAL1 = -4.532172209851069 TELESCOP= 'SDO/AIA ' WAVELNTH= 171 ISPPKTIM= '2011-02-14T23:59:57.50Z' DATAMAX = 12115 KEYWDDOC= 'http://www.lmsal.com/sdodocs/aiafitskeywords.pdf' AIMGFSN = 5 Y0_MP = 2042.719971 ROI_NAY1= -2147483648 AIMGSHCE= 2000 AGT3SVZ = 1 AGT3SVY = 0 DATAP75 = 360.0 TRECSTEP= 1.0 AECMODE = 'ON ' DATE = '2012-10-12T23:56:57' T_REC = '2011-02-15T00:00:01Z' AIHIS192= 8383997 IMG_TYPE= 'LIGHT ' EFF_AR_V= 3.0 HAEY_OBS= 83080597874.92 AIAGP9 = 457 AIMSHCTE= 2025.891968 AIAGP5 = 0 AIAGP6 = 0 AIAGP7 = 0 AIAGP1 = 0 AIAGP2 = 0 AIAGP3 = 0 SAT_ROT = 8.6E-05 HGLN_OBS= 0.0 AGT4SVZ = -4 ISPPKTVN= '001.197 ' AIFTSWTH= 0 AGT4SVY = -3 AIMSHOTE= 25.532 DATACENT= 240.91 AIFWEN = 204 ISPSNAME= 'aia.lev0_isp_0011' DATAMEDN= 172 MISSVALS= 0 AIAECTI = 0 AIAGP8 = 393 ASQHDR = 2168265309 ACS_SUNP= 'YES ' DATAP01 = 0.0 GAEY_OBS= 18270454.83 FLAT_REC= 'aia.flatfield[:#7]' ROI_LLY2= -2147483648 X0_MP = 2055.060059 ROI_LLY1= -2147483648 AIAGP4 = 0 AIMSHOTC= 40.560001 AGT2SVY = -5 RECNUM = 69981867 AGT2SVZ = -8 AIAGP10 = 748 DETECTOR= 'AIA ' AECTYPE = 0 SAT_Y0 = -9.619762 COMMENT FITS (Flexible Image Transport System) format is defined in 'Astronomy COMMENT and Astrophysics', volume 376, page 359; bibcode: 2001A&A...376..359H HISTORY END ¿ô?ð?à?à?Ð?è?Ð?Ð?è¿Ð?è?ø?è?à?ð?Ð?ø?è?ü@@ @ @@@ @ @@@@#@@@@@ €@"€@@"€@ @"€@$€@%@#€@&€@$@$€@)@)@0@-@+€@-€@/€@#€@1@@0@@.@1€@1@2@@0À@/€@1@)@/@*@(€@/@.€@&€@(€@%@#@&€@%@!@(€@!@%€@)€@*@%€@&@#@!@ €@'@@@@@@$@@@@@@?ô@?è?è?è¿ð¿Ð?è?à¿Ð¿Ð?à¿à?ð?è?à¿Ð?è¿à?à¿è?è¿Ð¿à¿ô¿à¿è¿è?à?пÐ?ð?Ð?ô?ø?ð@?Ð?Ð?Ð@?ð@?ü@@@@ @@@#@@ €@ €@%@@$@ @'@(€@%€@@@!€@&@@%€@&€@%@'@-€@(€@(€@,@0@0@0@@5€@4À@3@@4@@2À@2@1À@2€@/€@1À@2À@*@-@0@,€@,@0@+€@)€@'€@*€@,€@+@,€@,@)€@(€@@@%@@"@@@@ @!€@!€@@ @@@ @@@ @¿Ð?ü?Ð?Ð?ð¿ð@¿è?è?à?à?Ð?à¿è¿Ð¿à?пÐ?à?ü¿è?à?Ð?à?пè?à?à?ø¿ð?è?è?Ð?ü@?ô@ 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Coordinate increment at reference point CDELT3 = 66.42361 / [m s-1] Coordinate increment at reference point CUNIT1 = 'deg' / Units of coordinate increment and value CUNIT2 = 'deg' / Units of coordinate increment and value CUNIT3 = 'm s-1' / Units of coordinate increment and value CTYPE1 = 'RA---SFL' / Right ascension, Sanson-Flamsteed projection CTYPE2 = 'DEC--SFL' / Declination, Sanson-Flamsteed projection CTYPE3 = 'VOPT' / Optical velocity (linear) CRVAL1 = 57.6599999999 / [deg] Coordinate value at reference point CRVAL2 = 0.0 / [deg] Coordinate value at reference point CRVAL3 = -9959.44378305 / [m s-1] Coordinate value at reference point LONPOLE = 0.0 / [deg] Native longitude of celestial pole LATPOLE = 90.0 / [deg] Native latitude of celestial pole EQUINOX = 2000.0 / [yr] Equinox of equatorial coordinates SPECSYS = 'LSRK' / Reference frame of spectral coordinates ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/tests/data/equatorial_3d.fits0000644000175100001770000001320014716755202022677 0ustar00runnerdockerSIMPLE = T BITPIX = -64 / array data type NAXIS = 3 / number of array dimensions NAXIS1 = 7 NAXIS2 = 5 NAXIS3 = 4 WCSAXES = 3 / Number of coordinate axes CRPIX1 = 3 / Pixel coordinate of reference point CRPIX2 = 4 / Pixel coordinate of reference point CRPIX3 = 2 / Pixel coordinate of reference point CDELT1 = -0.006 / [deg] Coordinate increment at reference point CDELT2 = 0.006 / [deg] Coordinate increment at reference point CDELT3 = 75 / [m s-1] Coordinate increment at reference pointCUNIT1 = 'deg' / Units of coordinate increment and value CUNIT2 = 'deg' / Units of coordinate increment and value CUNIT3 = 'm s-1' / Units of coordinate increment and value CTYPE1 = 'RA---SFL' / Right ascension, Sanson-Flamsteed projection CTYPE2 = 'DEC--SFL' / Declination, Sanson-Flamsteed projection CTYPE3 = 'VOPT' / Optical velocity (linear) CRVAL1 = 60 / [deg] Coordinate value at reference point CRVAL2 = 32 / [deg] Coordinate value at reference point CRVAL3 = 44 / [m s-1] Coordinate value at reference point LONPOLE = 0.0 / [deg] Native longitude of celestial pole LATPOLE = 90.0 / [deg] Native latitude of celestial pole EQUINOX = 2000.0 / [yr] Equinox of equatorial coordinates SPECSYS = 'LSRK' / Reference frame of spectral coordinates HISTORY File modified by user 'tom' with fv on 2016-07-06T09:29:37 END ?á3)ÝðÜ’?àœª^`ð?Þû‚^¤?Þ禑µKÖ?á@Æ@Ås?à›ö<?ÞÅB²Î?àáèõMÀ?à÷—Si?ß;o?–¤?áàŠœw`^?ãû%¬ ª?á§tŠTÈÂ?ÛÚç¢ñ?ÜÕÔYIÃÐ?ÝŠÄŸûF?ß…î?á2þäü?â—ŠåÛ Ô?âg±ÿ0m¤?áʉ †ÓB?ߺO‰j?ß0’²Gù?ß{yšð'è?à©ø'|¶¶?á£Í‘ÑÆ1?à06~MLt?ÝûÚh ³¬?à—19p«?ߢ3ñÎ:?ÞÓ%Ÿ«Ôl?àjÞÑsż?á NÄ¢·ú?ݶBâ¿•ô?ÛÊ|Soû ?ÜæÛ<–?ÞyJ:Ç?ßÔjWàÒ?áÜ¿C]u„?â÷kWA1â?à+\›þ?ÛÑG{wž?ÙXWH]äú?݇Bzj?àýÐZÛ,ú?äWóN?æÕ“iMœã?ãgg±¨°¹?ÜZí.,¼?×¾H"Ï w?ÙhA oå¢?Ýîž'øñ[?àÚBmíç+?áJÔÈV0?á\½¼=T?âr¦°a.?ÚfDåaÁÞ?Ûtƒ+ñ*?Þþ '¡?à.À>t?àä„sûÛN?߈g€Ê?ÞîФ?ÝÔKc›ô?ÞGì(#Þ?ß"¢ìJª?á'+Å.*=?áù}ÇV ?ß çt Ÿ}?Ü—žˆ Ê$?ݾFŒOÁF?àyzSQ*?âtª?æÇ³}rß«?긂I.?匰¼vö?àFÕx±)D?Ü}©È°Zª?àqª.ü 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~7'¶7@7,Ë7QT7Kˆ7Jq*7,–7$"f7:ÓC7Op87UÙµ7SzE7ZR7z^ï7h#././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/tests/data/gc_eq.hdr0000644000175100001770000000215514716755202021040 0ustar00runnerdockerWCSAXES = 2 / Number of coordinate axes CRPIX1 = 361.0 / Pixel coordinate of reference point CRPIX2 = 360.5 / Pixel coordinate of reference point CDELT1 = -0.001388889 / [deg] Coordinate increment at reference point CDELT2 = 0.001388889 / [deg] Coordinate increment at reference point CUNIT1 = 'deg' / Units of coordinate increment and value CUNIT2 = 'deg' / Units of coordinate increment and value CTYPE1 = 'RA---TAN' / Right ascension, gnomonic projection CTYPE2 = 'DEC--TAN' / Declination, gnomonic projection CRVAL1 = 266.4 / [deg] Coordinate value at reference point CRVAL2 = -28.93333 / [deg] Coordinate value at reference point LONPOLE = 180.0 / [deg] Native longitude of celestial pole LATPOLE = -28.93333 / [deg] Native latitude of celestial pole EQUINOX = 2000.0 / [yr] Equinox of equatorial coordinates ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/tests/data/gc_ga.hdr0000644000175100001770000000203414716755202021016 0ustar00runnerdockerWCSAXES = 2 / Number of coordinate axes CRPIX1 = 75.907 / Pixel coordinate of reference point CRPIX2 = 74.8485 / Pixel coordinate of reference point CDELT1 = -0.006666666828 / [deg] Coordinate increment at reference point CDELT2 = 0.006666666828 / [deg] Coordinate increment at reference point CUNIT1 = 'deg' / Units of coordinate increment and value CUNIT2 = 'deg' / Units of coordinate increment and value CTYPE1 = 'GLON-CAR' / galactic longitude, plate caree projection CTYPE2 = 'GLAT-CAR' / galactic latitude, plate caree projection CRVAL1 = 0.0 / [deg] Coordinate value at reference point CRVAL2 = 0.0 / [deg] Coordinate value at reference point LONPOLE = 0.0 / [deg] Native longitude of celestial pole LATPOLE = 90.0 / [deg] Native latitude of celestial pole ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/tests/data/generate_asdf.py0000644000175100001770000000715614716755202022432 0ustar00runnerdockerfrom collections.abc import Iterable import astropy.modeling.models as m import astropy.units as u import gwcs.coordinate_frames as cf from astropy.modeling import CompoundModel, Model from gwcs import WCS from numpy.typing import ArrayLike def generate_celestial_transform( crpix: Iterable[float] | u.Quantity, cdelt: Iterable[float] | u.Quantity, pc: ArrayLike | u.Quantity, crval: Iterable[float] | u.Quantity, lon_pole: float | u.Quantity = None, projection: Model = None, ) -> CompoundModel: """ Create a simple celestial transform from FITS like parameters. Supports unitful or unitless parameters, but if any parameters have units all must have units, if parameters are unitless they are assumed to be in degrees. Parameters ---------- crpix The reference pixel (a length two array). crval The world coordinate at the reference pixel (a length two array). cdelt The sample interval along the pixel axis pc The rotation matrix for the affine transform. If specifying parameters with units this should have celestial (``u.deg``) units. lon_pole The longitude of the celestial pole, defaults to 180 degrees. projection The map projection to use, defaults to ``TAN``. Notes ----- This function has not been tested with more complex projections. Ensure that your lon_pole is correct for your projection. """ projection = m.Pix2Sky_TAN() if projection is None else None spatial_unit = None if hasattr(crval[0], "unit"): spatial_unit = crval[0].unit # TODO: Note this assumption is only valid for certain projections. if lon_pole is None: lon_pole = 180 if spatial_unit is not None: # Lon pole should always have the units of degrees lon_pole = u.Quantity(lon_pole, unit=u.deg) # Make translation unitful if all parameters have units translation = (0, 0) if spatial_unit is not None: translation *= pc.unit # If we have units then we need to convert all things to Quantity # as they might be Parameter classes crpix = u.Quantity(crpix) cdelt = u.Quantity(cdelt) crval = u.Quantity(crval) lon_pole = u.Quantity(lon_pole) pc = u.Quantity(pc) shift = m.Shift(-crpix[0]) & m.Shift(-crpix[1]) scale = m.Multiply(cdelt[0]) & m.Multiply(cdelt[1]) rot = m.AffineTransformation2D(pc, translation=translation) skyrot = m.RotateNative2Celestial(crval[0], crval[1], lon_pole) return shift | rot | scale | projection | skyrot def generate_asdf(input_file="aia_171_level1.fits", output_file="aia_171_level1.asdf"): # Put imports for optional or not dependencies here import asdf import sunpy.map aia_map = sunpy.map.Map(input_file) spatial_unit = aia_map.spatial_units[0] transform = generate_celestial_transform( crpix=aia_map.reference_pixel, cdelt=aia_map.scale, pc=aia_map.rotation_matrix * u.pix, crval=aia_map.wcs.wcs.crval * u.deg, ) input_frame = cf.Frame2D() output_frame = cf.CelestialFrame( reference_frame=aia_map.coordinate_frame, unit=(u.arcsec, u.arcsec), axes_names=("Helioprojective Longitude", "Helioprojective Latitude"), ) aia_gwcs = WCS( forward_transform=transform, input_frame=input_frame, output_frame=output_frame, ) tree = { "data": aia_map.data, "meta": dict(aia_map.meta), "wcs": aia_gwcs, } af = asdf.AsdfFile(tree) af.write_to(output_file) if __name__ == "__main__": generate_asdf() ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/tests/data/mwpan2_RGB_3600.hdr0000644000175100001770000016157714716755202022346 0ustar00runnerdockerSIMPLE = T / Fits standard BITPIX = -32 / Bits per pixel NAXIS = 3 / Number of axes NAXIS1 = 3600 / Axis length NAXIS2 = 1800 / Axis length NAXIS3 = 3 / Axis length EXTEND = T / File may contain extensions ORIGIN = 'NOAO-IRAF FITS Image Kernel July 2003' / FITS file originator OBJECT = ' ' / Name of the object observed DATE = '2009-09-03T04:30:56' / Date FITS file was generated IRAF-TLM= '00:30:56 (03/09/2009)' / Time of last modification EQUINOX = 2.000000000E+03 / Mean equinox RADECSYS= 'ICRS ' / Astrometric system CTYPE1 = 'GLON-CAR' / WCS projection type for this axis CUNIT1 = 'deg ' / Axis unit CRPIX1 = 1800.950026799 / Reference pixel on this axis CD1_1 = -0.099999998509884 / Linear projection matrix CTYPE2 = 'GLAT-CAR' / WCS projection type for this axis CUNIT2 = 'deg ' / Axis unit CRPIX2 = 900.950013387949 / Reference pixel on this axis CD2_2 = 0.099999998509884 / Linear projection matrix SATURATE= 4.900616247E+04 / 50000 ADU in 0.5 s exposure, scaled 480x EXPTIME = 0.000000000E+00 / Maximum equivalent exposure time (s) GAIN = 1.424466208E+00 / Maximum equivalent gain (e-/ADU) COMMENT SOFTNAME= 'SWarp ' / The software that processed those data SOFTVERS= '2.17.6 ' / Version of the software SOFTDATE= '2009-06-07' / Release date of the software SOFTAUTH= 'Emmanuel BERTIN ' / Maintainer of the software SOFTINST= 'IAP http://www.iap.fr' / Institute COMMENT AUTHOR = 'axel ' / Who ran the software COMBINET= 'WEIGHTED' / COMBINE_TYPE config parameter for SWarp COMMENT COMMENT Propagated FITS keywords COMMENT COMMENT Axis-dependent config parameters RESAMPT1= 'BILINEAR' / RESAMPLING_TYPE config parameter CENTERT1= 'MANUAL ' / CENTER_TYPE config parameter PSCALET1= 'MANUAL ' / PIXELSCALE_TYPE config parameter RESAMPT2= 'BILINEAR' / RESAMPLING_TYPE config parameter CENTERT2= 'MANUAL ' / CENTER_TYPE config parameter PSCALET2= 'MANUAL ' / PIXELSCALE_TYPE config parameter COMMENT COMMENT File-dependent config parameters FILE0001= 'field00_Blue_bgsubt2.resamp.fits' / Input filename WGHT0001= 'field00_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0001= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0001= F / INTERPOLATE config flag SUBF0001= F / SUBTRACT_BACK config flag BCKT0001= 'MANUAL ' / BACK_TYPE config parameter BCKD0001= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0001= 128 / BACK_SIZE config parameter BKFS0001= 3 / BACK_FILTERSIZE config parameter FILE0002= 'field01_Blue_bgsubt2.resamp.fits' / Input filename WGHT0002= 'field01_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0002= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0002= F / INTERPOLATE config flag SUBF0002= F / SUBTRACT_BACK config flag BCKT0002= 'MANUAL ' / BACK_TYPE config parameter BCKD0002= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0002= 128 / BACK_SIZE config parameter BKFS0002= 3 / BACK_FILTERSIZE config parameter FILE0003= 'field02_Blue_bgsubt2.resamp.fits' / Input filename WGHT0003= 'field02_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0003= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0003= F / INTERPOLATE config flag SUBF0003= F / SUBTRACT_BACK config flag BCKT0003= 'MANUAL ' / BACK_TYPE config parameter BCKD0003= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0003= 128 / BACK_SIZE config parameter BKFS0003= 3 / BACK_FILTERSIZE config parameter FILE0004= 'field03_Blue_bgsubt2.resamp.fits' / Input filename WGHT0004= 'field03_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0004= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0004= F / INTERPOLATE config flag SUBF0004= F / SUBTRACT_BACK config flag BCKT0004= 'MANUAL ' / BACK_TYPE config parameter BCKD0004= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0004= 128 / BACK_SIZE config parameter BKFS0004= 3 / BACK_FILTERSIZE config parameter FILE0005= 'field04_Blue_bgsubt2.resamp.fits' / Input filename WGHT0005= 'field04_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0005= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0005= F / INTERPOLATE config flag SUBF0005= F / SUBTRACT_BACK config flag BCKT0005= 'MANUAL ' / BACK_TYPE config parameter BCKD0005= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0005= 128 / BACK_SIZE config parameter BKFS0005= 3 / BACK_FILTERSIZE config parameter FILE0006= 'field05_Blue_bgsubt2.resamp.fits' / Input filename WGHT0006= 'field05_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0006= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0006= F / INTERPOLATE config flag SUBF0006= F / SUBTRACT_BACK config flag BCKT0006= 'MANUAL ' / BACK_TYPE config parameter BCKD0006= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0006= 128 / BACK_SIZE config parameter BKFS0006= 3 / BACK_FILTERSIZE config parameter FILE0007= 'field06_Blue_bgsubt2.resamp.fits' / Input filename WGHT0007= 'field06_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0007= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0007= F / INTERPOLATE config flag SUBF0007= F / SUBTRACT_BACK config flag BCKT0007= 'MANUAL ' / BACK_TYPE config parameter BCKD0007= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0007= 128 / BACK_SIZE config parameter BKFS0007= 3 / BACK_FILTERSIZE config parameter FILE0008= 'field07_Blue_bgsubt2.resamp.fits' / Input filename WGHT0008= 'field07_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0008= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0008= F / INTERPOLATE config flag SUBF0008= F / SUBTRACT_BACK config flag BCKT0008= 'MANUAL ' / BACK_TYPE config parameter BCKD0008= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0008= 128 / BACK_SIZE config parameter BKFS0008= 3 / BACK_FILTERSIZE config parameter FILE0009= 'field08_Blue_bgsubt2.resamp.fits' / Input filename WGHT0009= 'field08_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0009= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0009= F / INTERPOLATE config flag SUBF0009= F / SUBTRACT_BACK config flag BCKT0009= 'MANUAL ' / BACK_TYPE config parameter BCKD0009= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0009= 128 / BACK_SIZE config parameter BKFS0009= 3 / BACK_FILTERSIZE config parameter FILE0010= 'field09_Blue_bgsubt2.resamp.fits' / Input filename WGHT0010= 'field09_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0010= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0010= F / INTERPOLATE config flag SUBF0010= F / SUBTRACT_BACK config flag BCKT0010= 'MANUAL ' / BACK_TYPE config parameter BCKD0010= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0010= 128 / BACK_SIZE config parameter BKFS0010= 3 / BACK_FILTERSIZE config parameter FILE0011= 'field10_Blue_bgsubt2.resamp.fits' / Input filename WGHT0011= 'field10_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0011= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0011= F / INTERPOLATE config flag SUBF0011= F / SUBTRACT_BACK config flag BCKT0011= 'MANUAL ' / BACK_TYPE config parameter BCKD0011= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0011= 128 / BACK_SIZE config parameter BKFS0011= 3 / BACK_FILTERSIZE config parameter FILE0012= 'field11_Blue_bgsubt2.resamp.fits' / Input filename WGHT0012= 'field11_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0012= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0012= F / INTERPOLATE config flag SUBF0012= F / SUBTRACT_BACK config flag BCKT0012= 'MANUAL ' / BACK_TYPE config parameter BCKD0012= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0012= 128 / BACK_SIZE config parameter BKFS0012= 3 / BACK_FILTERSIZE config parameter FILE0013= 'field12_Blue_bgsubt2.resamp.fits' / Input filename WGHT0013= 'field12_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0013= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0013= F / INTERPOLATE config flag SUBF0013= F / SUBTRACT_BACK config flag BCKT0013= 'MANUAL ' / BACK_TYPE config parameter BCKD0013= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0013= 128 / BACK_SIZE config parameter BKFS0013= 3 / BACK_FILTERSIZE config parameter FILE0014= 'field13_Blue_bgsubt2.resamp.fits' / Input filename WGHT0014= 'field13_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0014= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0014= F / INTERPOLATE config flag SUBF0014= F / SUBTRACT_BACK config flag BCKT0014= 'MANUAL ' / BACK_TYPE config parameter BCKD0014= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0014= 128 / BACK_SIZE config parameter BKFS0014= 3 / BACK_FILTERSIZE config parameter FILE0015= 'field14_Blue_bgsubt2.resamp.fits' / Input filename WGHT0015= 'field14_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0015= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0015= F / INTERPOLATE config flag SUBF0015= F / SUBTRACT_BACK config flag BCKT0015= 'MANUAL ' / BACK_TYPE config parameter BCKD0015= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0015= 128 / BACK_SIZE config parameter BKFS0015= 3 / BACK_FILTERSIZE config parameter FILE0016= 'field15_Blue_bgsubt2.resamp.fits' / Input filename WGHT0016= 'field15_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0016= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0016= F / INTERPOLATE config flag SUBF0016= F / SUBTRACT_BACK config flag BCKT0016= 'MANUAL ' / BACK_TYPE config parameter BCKD0016= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0016= 128 / BACK_SIZE config parameter BKFS0016= 3 / BACK_FILTERSIZE config parameter FILE0017= 'field16_Blue_bgsubt2.resamp.fits' / Input filename WGHT0017= 'field16_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0017= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0017= F / INTERPOLATE config flag SUBF0017= F / SUBTRACT_BACK config flag BCKT0017= 'MANUAL ' / BACK_TYPE config parameter BCKD0017= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0017= 128 / BACK_SIZE config parameter BKFS0017= 3 / BACK_FILTERSIZE config parameter FILE0018= 'field17_Blue_bgsubt2.resamp.fits' / Input filename WGHT0018= 'field17_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0018= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0018= F / INTERPOLATE config flag SUBF0018= F / SUBTRACT_BACK config flag BCKT0018= 'MANUAL ' / BACK_TYPE config parameter BCKD0018= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0018= 128 / BACK_SIZE config parameter BKFS0018= 3 / BACK_FILTERSIZE config parameter FILE0019= 'field18_Blue_bgsubt2.resamp.fits' / Input filename WGHT0019= 'field18_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0019= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0019= F / INTERPOLATE config flag SUBF0019= F / SUBTRACT_BACK config flag BCKT0019= 'MANUAL ' / BACK_TYPE config parameter BCKD0019= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0019= 128 / BACK_SIZE config parameter BKFS0019= 3 / BACK_FILTERSIZE config parameter FILE0020= 'field19_Blue_bgsubt2.resamp.fits' / Input filename WGHT0020= 'field19_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0020= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0020= F / INTERPOLATE config flag SUBF0020= F / SUBTRACT_BACK config flag BCKT0020= 'MANUAL ' / BACK_TYPE config parameter BCKD0020= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0020= 128 / BACK_SIZE config parameter BKFS0020= 3 / BACK_FILTERSIZE config parameter FILE0021= 'field20_Blue_bgsubt2.resamp.fits' / Input filename WGHT0021= 'field20_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0021= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0021= F / INTERPOLATE config flag SUBF0021= F / SUBTRACT_BACK config flag BCKT0021= 'MANUAL ' / BACK_TYPE config parameter BCKD0021= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0021= 128 / BACK_SIZE config parameter BKFS0021= 3 / BACK_FILTERSIZE config parameter FILE0022= 'field21_Blue_bgsubt2.resamp.fits' / Input filename WGHT0022= 'field21_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0022= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0022= F / INTERPOLATE config flag SUBF0022= F / SUBTRACT_BACK config flag BCKT0022= 'MANUAL ' / BACK_TYPE config parameter BCKD0022= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0022= 128 / BACK_SIZE config parameter BKFS0022= 3 / BACK_FILTERSIZE config parameter FILE0023= 'field22_Blue_bgsubt2.resamp.fits' / Input filename WGHT0023= 'field22_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0023= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0023= F / INTERPOLATE config flag SUBF0023= F / SUBTRACT_BACK config flag BCKT0023= 'MANUAL ' / BACK_TYPE config parameter BCKD0023= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0023= 128 / BACK_SIZE config parameter BKFS0023= 3 / BACK_FILTERSIZE config parameter FILE0024= 'field23_Blue_bgsubt2.resamp.fits' / Input filename WGHT0024= 'field23_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0024= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0024= F / INTERPOLATE config flag SUBF0024= F / SUBTRACT_BACK config flag BCKT0024= 'MANUAL ' / BACK_TYPE config parameter BCKD0024= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0024= 128 / BACK_SIZE config parameter BKFS0024= 3 / BACK_FILTERSIZE config parameter FILE0025= 'field24_Blue_bgsubt2.resamp.fits' / Input filename WGHT0025= 'field24_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0025= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0025= F / INTERPOLATE config flag SUBF0025= F / SUBTRACT_BACK config flag BCKT0025= 'MANUAL ' / BACK_TYPE config parameter BCKD0025= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0025= 128 / BACK_SIZE config parameter BKFS0025= 3 / BACK_FILTERSIZE config parameter FILE0026= 'field25_Blue_bgsubt2.resamp.fits' / Input filename WGHT0026= 'field25_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0026= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0026= F / INTERPOLATE config flag SUBF0026= F / SUBTRACT_BACK config flag BCKT0026= 'MANUAL ' / BACK_TYPE config parameter BCKD0026= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0026= 128 / BACK_SIZE config parameter BKFS0026= 3 / BACK_FILTERSIZE config parameter FILE0027= 'field26_Blue_bgsubt2.resamp.fits' / Input filename WGHT0027= 'field26_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0027= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0027= F / INTERPOLATE config flag SUBF0027= F / SUBTRACT_BACK config flag BCKT0027= 'MANUAL ' / BACK_TYPE config parameter BCKD0027= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0027= 128 / BACK_SIZE config parameter BKFS0027= 3 / BACK_FILTERSIZE config parameter FILE0028= 'field27_Blue_bgsubt2.resamp.fits' / Input filename WGHT0028= 'field27_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0028= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0028= F / INTERPOLATE config flag SUBF0028= F / SUBTRACT_BACK config flag BCKT0028= 'MANUAL ' / BACK_TYPE config parameter BCKD0028= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0028= 128 / BACK_SIZE config parameter BKFS0028= 3 / BACK_FILTERSIZE config parameter FILE0029= 'field28_Blue_bgsubt2.resamp.fits' / Input filename WGHT0029= 'field28_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0029= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0029= F / INTERPOLATE config flag SUBF0029= F / SUBTRACT_BACK config flag BCKT0029= 'MANUAL ' / BACK_TYPE config parameter BCKD0029= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0029= 128 / BACK_SIZE config parameter BKFS0029= 3 / BACK_FILTERSIZE config parameter FILE0030= 'field29_Blue_bgsubt2.resamp.fits' / Input filename WGHT0030= 'field29_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0030= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0030= F / INTERPOLATE config flag SUBF0030= F / SUBTRACT_BACK config flag BCKT0030= 'MANUAL ' / BACK_TYPE config parameter BCKD0030= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0030= 128 / BACK_SIZE config parameter BKFS0030= 3 / BACK_FILTERSIZE config parameter FILE0031= 'field30_Blue_bgsubt2.resamp.fits' / Input filename WGHT0031= 'field30_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0031= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0031= F / INTERPOLATE config flag SUBF0031= F / SUBTRACT_BACK config flag BCKT0031= 'MANUAL ' / BACK_TYPE config parameter BCKD0031= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0031= 128 / BACK_SIZE config parameter BKFS0031= 3 / BACK_FILTERSIZE config parameter FILE0032= 'field31_Blue_bgsubt2.resamp.fits' / Input filename WGHT0032= 'field31_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0032= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0032= F / INTERPOLATE config flag SUBF0032= F / SUBTRACT_BACK config flag BCKT0032= 'MANUAL ' / BACK_TYPE config parameter BCKD0032= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0032= 128 / BACK_SIZE config parameter BKFS0032= 3 / BACK_FILTERSIZE config parameter FILE0033= 'field32_Blue_bgsubt2.resamp.fits' / Input filename WGHT0033= 'field32_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0033= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0033= F / INTERPOLATE config flag SUBF0033= F / SUBTRACT_BACK config flag BCKT0033= 'MANUAL ' / BACK_TYPE config parameter BCKD0033= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0033= 128 / BACK_SIZE config parameter BKFS0033= 3 / BACK_FILTERSIZE config parameter FILE0034= 'field33_Blue_bgsubt2.resamp.fits' / Input filename WGHT0034= 'field33_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0034= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0034= F / INTERPOLATE config flag SUBF0034= F / SUBTRACT_BACK config flag BCKT0034= 'MANUAL ' / BACK_TYPE config parameter BCKD0034= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0034= 128 / BACK_SIZE config parameter BKFS0034= 3 / BACK_FILTERSIZE config parameter FILE0035= 'field34_Blue_bgsubt2.resamp.fits' / Input filename WGHT0035= 'field34_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0035= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0035= F / INTERPOLATE config flag SUBF0035= F / SUBTRACT_BACK config flag BCKT0035= 'MANUAL ' / BACK_TYPE config parameter BCKD0035= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0035= 128 / BACK_SIZE config parameter BKFS0035= 3 / BACK_FILTERSIZE config parameter FILE0036= 'field35_Blue_bgsubt2.resamp.fits' / Input filename WGHT0036= 'field35_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0036= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0036= F / INTERPOLATE config flag SUBF0036= F / SUBTRACT_BACK config flag BCKT0036= 'MANUAL ' / BACK_TYPE config parameter BCKD0036= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0036= 128 / BACK_SIZE config parameter BKFS0036= 3 / BACK_FILTERSIZE config parameter FILE0037= 'field36_Blue_bgsubt2.resamp.fits' / Input filename WGHT0037= 'field36_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0037= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0037= F / INTERPOLATE config flag SUBF0037= F / SUBTRACT_BACK config flag BCKT0037= 'MANUAL ' / BACK_TYPE config parameter BCKD0037= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0037= 128 / BACK_SIZE config parameter BKFS0037= 3 / BACK_FILTERSIZE config parameter FILE0038= 'field37_Blue_bgsubt2.resamp.fits' / Input filename WGHT0038= 'field37_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0038= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0038= F / INTERPOLATE config flag SUBF0038= F / SUBTRACT_BACK config flag BCKT0038= 'MANUAL ' / BACK_TYPE config parameter BCKD0038= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0038= 128 / BACK_SIZE config parameter BKFS0038= 3 / BACK_FILTERSIZE config parameter FILE0039= 'field38_Blue_bgsubt2.resamp.fits' / Input filename WGHT0039= 'field38_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0039= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0039= F / INTERPOLATE config flag SUBF0039= F / SUBTRACT_BACK config flag BCKT0039= 'MANUAL ' / BACK_TYPE config parameter BCKD0039= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0039= 128 / BACK_SIZE config parameter BKFS0039= 3 / BACK_FILTERSIZE config parameter FILE0040= 'field39_Blue_bgsubt2.resamp.fits' / Input filename WGHT0040= 'field39_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0040= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0040= F / INTERPOLATE config flag SUBF0040= F / SUBTRACT_BACK config flag BCKT0040= 'MANUAL ' / BACK_TYPE config parameter BCKD0040= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0040= 128 / BACK_SIZE config parameter BKFS0040= 3 / BACK_FILTERSIZE config parameter FILE0041= 'field40_Blue_bgsubt2.resamp.fits' / Input filename WGHT0041= 'field40_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0041= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0041= F / INTERPOLATE config flag SUBF0041= F / SUBTRACT_BACK config flag BCKT0041= 'MANUAL ' / BACK_TYPE config parameter BCKD0041= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0041= 128 / BACK_SIZE config parameter BKFS0041= 3 / BACK_FILTERSIZE config parameter FILE0042= 'field41_Blue_bgsubt2.resamp.fits' / Input filename WGHT0042= 'field41_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0042= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0042= F / INTERPOLATE config flag SUBF0042= F / SUBTRACT_BACK config flag BCKT0042= 'MANUAL ' / BACK_TYPE config parameter BCKD0042= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0042= 128 / BACK_SIZE config parameter BKFS0042= 3 / BACK_FILTERSIZE config parameter FILE0043= 'field42_Blue_bgsubt2.resamp.fits' / Input filename WGHT0043= 'field42_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0043= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0043= F / INTERPOLATE config flag SUBF0043= F / SUBTRACT_BACK config flag BCKT0043= 'MANUAL ' / BACK_TYPE config parameter BCKD0043= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0043= 128 / BACK_SIZE config parameter BKFS0043= 3 / BACK_FILTERSIZE config parameter FILE0044= 'field43_Blue_bgsubt2.resamp.fits' / Input filename WGHT0044= 'field43_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0044= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0044= F / INTERPOLATE config flag SUBF0044= F / SUBTRACT_BACK config flag BCKT0044= 'MANUAL ' / BACK_TYPE config parameter BCKD0044= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0044= 128 / BACK_SIZE config parameter BKFS0044= 3 / BACK_FILTERSIZE config parameter FILE0045= 'field44_Blue_bgsubt2.resamp.fits' / Input filename WGHT0045= 'field44_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0045= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0045= F / INTERPOLATE config flag SUBF0045= F / SUBTRACT_BACK config flag BCKT0045= 'MANUAL ' / BACK_TYPE config parameter BCKD0045= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0045= 128 / BACK_SIZE config parameter BKFS0045= 3 / BACK_FILTERSIZE config parameter FILE0046= 'field45_Blue_bgsubt2.resamp.fits' / Input filename WGHT0046= 'field45_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0046= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0046= F / INTERPOLATE config flag SUBF0046= F / SUBTRACT_BACK config flag BCKT0046= 'MANUAL ' / BACK_TYPE config parameter BCKD0046= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0046= 128 / BACK_SIZE config parameter BKFS0046= 3 / BACK_FILTERSIZE config parameter FILE0047= 'field46_Blue_bgsubt2.resamp.fits' / Input filename WGHT0047= 'field46_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0047= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0047= F / INTERPOLATE config flag SUBF0047= F / SUBTRACT_BACK config flag BCKT0047= 'MANUAL ' / BACK_TYPE config parameter BCKD0047= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0047= 128 / BACK_SIZE config parameter BKFS0047= 3 / BACK_FILTERSIZE config parameter FILE0048= 'field47_Blue_bgsubt2.resamp.fits' / Input filename WGHT0048= 'field47_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0048= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0048= F / INTERPOLATE config flag SUBF0048= F / SUBTRACT_BACK config flag BCKT0048= 'MANUAL ' / BACK_TYPE config parameter BCKD0048= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0048= 128 / BACK_SIZE config parameter BKFS0048= 3 / BACK_FILTERSIZE config parameter FILE0049= 'field48_Blue_bgsubt2.resamp.fits' / Input filename WGHT0049= 'field48_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0049= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0049= F / INTERPOLATE config flag SUBF0049= F / SUBTRACT_BACK config flag BCKT0049= 'MANUAL ' / BACK_TYPE config parameter BCKD0049= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0049= 128 / BACK_SIZE config parameter BKFS0049= 3 / BACK_FILTERSIZE config parameter FILE0050= 'field49_Blue_bgsubt2.resamp.fits' / Input filename WGHT0050= 'field49_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0050= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0050= F / INTERPOLATE config flag SUBF0050= F / SUBTRACT_BACK config flag BCKT0050= 'MANUAL ' / BACK_TYPE config parameter BCKD0050= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0050= 128 / BACK_SIZE config parameter BKFS0050= 3 / BACK_FILTERSIZE config parameter FILE0051= 'field50_Blue_bgsubt2.resamp.fits' / Input filename WGHT0051= 'field50_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0051= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0051= F / INTERPOLATE config flag SUBF0051= F / SUBTRACT_BACK config flag BCKT0051= 'MANUAL ' / BACK_TYPE config parameter BCKD0051= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0051= 128 / BACK_SIZE config parameter BKFS0051= 3 / BACK_FILTERSIZE config parameter FILE0052= 'field51_Blue_bgsubt2.resamp.fits' / Input filename WGHT0052= 'field51_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0052= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0052= F / INTERPOLATE config flag SUBF0052= F / SUBTRACT_BACK config flag BCKT0052= 'MANUAL ' / BACK_TYPE config parameter BCKD0052= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0052= 128 / BACK_SIZE config parameter BKFS0052= 3 / BACK_FILTERSIZE config parameter FILE0053= 'field52_Blue_bgsubt2.resamp.fits' / Input filename WGHT0053= 'field52_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0053= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0053= F / INTERPOLATE config flag SUBF0053= F / SUBTRACT_BACK config flag BCKT0053= 'MANUAL ' / BACK_TYPE config parameter BCKD0053= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0053= 128 / BACK_SIZE config parameter BKFS0053= 3 / BACK_FILTERSIZE config parameter FILE0054= 'field53_Blue_bgsubt2.resamp.fits' / Input filename WGHT0054= 'field53_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0054= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0054= F / INTERPOLATE config flag SUBF0054= F / SUBTRACT_BACK config flag BCKT0054= 'MANUAL ' / BACK_TYPE config parameter BCKD0054= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0054= 128 / BACK_SIZE config parameter BKFS0054= 3 / BACK_FILTERSIZE config parameter FILE0055= 'field54_Blue_bgsubt2.resamp.fits' / Input filename WGHT0055= 'field54_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0055= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0055= F / INTERPOLATE config flag SUBF0055= F / SUBTRACT_BACK config flag BCKT0055= 'MANUAL ' / BACK_TYPE config parameter BCKD0055= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0055= 128 / BACK_SIZE config parameter BKFS0055= 3 / BACK_FILTERSIZE config parameter FILE0056= 'field55_Blue_bgsubt2.resamp.fits' / Input filename WGHT0056= 'field55_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0056= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0056= F / INTERPOLATE config flag SUBF0056= F / SUBTRACT_BACK config flag BCKT0056= 'MANUAL ' / BACK_TYPE config parameter BCKD0056= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0056= 128 / BACK_SIZE config parameter BKFS0056= 3 / BACK_FILTERSIZE config parameter FILE0057= 'field56_Blue_bgsubt2.resamp.fits' / Input filename WGHT0057= 'field56_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0057= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0057= F / INTERPOLATE config flag SUBF0057= F / SUBTRACT_BACK config flag BCKT0057= 'MANUAL ' / BACK_TYPE config parameter BCKD0057= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0057= 128 / BACK_SIZE config parameter BKFS0057= 3 / BACK_FILTERSIZE config parameter FILE0058= 'field57_Blue_bgsubt2.resamp.fits' / Input filename WGHT0058= 'field57_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0058= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0058= F / INTERPOLATE config flag SUBF0058= F / SUBTRACT_BACK config flag BCKT0058= 'MANUAL ' / BACK_TYPE config parameter BCKD0058= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0058= 128 / BACK_SIZE config parameter BKFS0058= 3 / BACK_FILTERSIZE config parameter FILE0059= 'field58_Blue_bgsubt2.resamp.fits' / Input filename WGHT0059= 'field58_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0059= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0059= F / INTERPOLATE config flag SUBF0059= F / SUBTRACT_BACK config flag BCKT0059= 'MANUAL ' / BACK_TYPE config parameter BCKD0059= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0059= 128 / BACK_SIZE config parameter BKFS0059= 3 / BACK_FILTERSIZE config parameter FILE0060= 'field59_Blue_bgsubt2.resamp.fits' / Input filename WGHT0060= 'field59_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0060= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0060= F / INTERPOLATE config flag SUBF0060= F / SUBTRACT_BACK config flag BCKT0060= 'MANUAL ' / BACK_TYPE config parameter BCKD0060= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0060= 128 / BACK_SIZE config parameter BKFS0060= 3 / BACK_FILTERSIZE config parameter FILE0061= 'field60_Blue_bgsubt2.resamp.fits' / Input filename WGHT0061= 'field60_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0061= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0061= F / INTERPOLATE config flag SUBF0061= F / SUBTRACT_BACK config flag BCKT0061= 'MANUAL ' / BACK_TYPE config parameter BCKD0061= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0061= 128 / BACK_SIZE config parameter BKFS0061= 3 / BACK_FILTERSIZE config parameter FILE0062= 'field61_Blue_bgsubt2.resamp.fits' / Input filename WGHT0062= 'field61_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0062= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0062= F / INTERPOLATE config flag SUBF0062= F / SUBTRACT_BACK config flag BCKT0062= 'MANUAL ' / BACK_TYPE config parameter BCKD0062= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0062= 128 / BACK_SIZE config parameter BKFS0062= 3 / BACK_FILTERSIZE config parameter FILE0063= 'field62_Blue_bgsubt2.resamp.fits' / Input filename WGHT0063= 'field62_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0063= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0063= F / INTERPOLATE config flag SUBF0063= F / SUBTRACT_BACK config flag BCKT0063= 'MANUAL ' / BACK_TYPE config parameter BCKD0063= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0063= 128 / BACK_SIZE config parameter BKFS0063= 3 / BACK_FILTERSIZE config parameter FILE0064= 'field63_Blue_bgsubt2.resamp.fits' / Input filename WGHT0064= 'field63_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0064= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0064= F / INTERPOLATE config flag SUBF0064= F / SUBTRACT_BACK config flag BCKT0064= 'MANUAL ' / BACK_TYPE config parameter BCKD0064= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0064= 128 / BACK_SIZE config parameter BKFS0064= 3 / BACK_FILTERSIZE config parameter FILE0065= 'field64_Blue_bgsubt2.resamp.fits' / Input filename WGHT0065= 'field64_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0065= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0065= F / INTERPOLATE config flag SUBF0065= F / SUBTRACT_BACK config flag BCKT0065= 'MANUAL ' / BACK_TYPE config parameter BCKD0065= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0065= 128 / BACK_SIZE config parameter BKFS0065= 3 / BACK_FILTERSIZE config parameter FILE0066= 'field65_Blue_bgsubt2.resamp.fits' / Input filename WGHT0066= 'field65_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0066= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0066= F / INTERPOLATE config flag SUBF0066= F / SUBTRACT_BACK config flag BCKT0066= 'MANUAL ' / BACK_TYPE config parameter BCKD0066= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0066= 128 / BACK_SIZE config parameter BKFS0066= 3 / BACK_FILTERSIZE config parameter FILE0067= 'field66_Blue_bgsubt2.resamp.fits' / Input filename WGHT0067= 'field66_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0067= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0067= F / INTERPOLATE config flag SUBF0067= F / SUBTRACT_BACK config flag BCKT0067= 'MANUAL ' / BACK_TYPE config parameter BCKD0067= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0067= 128 / BACK_SIZE config parameter BKFS0067= 3 / BACK_FILTERSIZE config parameter FILE0068= 'field67_Blue_bgsubt2.resamp.fits' / Input filename WGHT0068= 'field67_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0068= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0068= F / INTERPOLATE config flag SUBF0068= F / SUBTRACT_BACK config flag BCKT0068= 'MANUAL ' / BACK_TYPE config parameter BCKD0068= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0068= 128 / BACK_SIZE config parameter BKFS0068= 3 / BACK_FILTERSIZE config parameter FILE0069= 'field68_Blue_bgsubt2.resamp.fits' / Input filename WGHT0069= 'field68_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0069= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0069= F / INTERPOLATE config flag SUBF0069= F / SUBTRACT_BACK config flag BCKT0069= 'MANUAL ' / BACK_TYPE config parameter BCKD0069= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0069= 128 / BACK_SIZE config parameter BKFS0069= 3 / BACK_FILTERSIZE config parameter FILE0070= 'field69_Blue_bgsubt2.resamp.fits' / Input filename WGHT0070= 'field69_Blue_bgsubt2.resamp.weight.fits' / Input weight-map WGTT0070= 'MAP_WEIGHT' / WEIGHT_TYPE config parameter INTF0070= F / INTERPOLATE config flag SUBF0070= F / SUBTRACT_BACK config flag BCKT0070= 'MANUAL ' / BACK_TYPE config parameter BCKD0070= 0.000000000E+00 / BACK_DEFAULT config parameter BCKS0070= 128 / BACK_SIZE config parameter BKFS0070= 3 / BACK_FILTERSIZE config parameter WCSDIM = 3 LTV1 = 0.899999976158142 LTV2 = 0.899999976158142 LTM1_1 = 0.100000001490116 LTM2_2 = 0.100000001490116 WAT0_001= 'system=image' WAT1_001= 'wtype=car axtype=glon' WAT2_001= 'wtype=car axtype=glat' CTYPE3 = 'LINEAR ' CD3_3 = 1. LTM3_3 = 1. WAT3_001= 'wtype=linear' ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/tests/data/secchi_l0_a.fits0000644000175100001770000045210014716755202022302 0ustar00runnerdockerSIMPLE = T / conforms to FITS standard BITPIX = -64 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 128 NAXIS2 = 128 DATE-OBS= '2011-02-15T00:14:00.006' FILEORIG= 'B2150019.443' SEB_PROG= 'NORMAL ' SYNC = T SPWX = F EXPCMD = 16.0072 EXPTIME = 16.0074 / from MEB DSTART1 = 1 DSTOP1 = 2048 DSTART2 = 1 DSTOP2 = 2048 P1COL = 51 P2COL = 2098 P1ROW = 1 P2ROW = 2048 R1COL = 129 R2COL = 2176 R1ROW = 79 R2ROW = 2126 RECTIFY = T RECTROTA= 6 / transpose and rotate 180 deg CCW LEDCOLOR= 'NONE ' LEDPULSE= 0 OFFSET = 600 BIASMEAN= 725.242 BIASSDEV= 0.02 GAINCMD = 1 GAINMODE= 'HIGH ' SUMMED = 1.0 SUMROW = 1 SUMCOL = 1 CEB_T = 40 TEMP_CCD= -70.79940000000001 POLAR = -1.0 ENCODERP= 22 WAVELNTH= 171 ENCODERQ= 22 FILTER = 'S1 ' ENCODERF= 22 FPS_ON = T OBS_PROG= '' DOORSTAT= 2 / OPEN SHUTTDIR= 'CW ' READ_TBL= 0 / tbl061206/read21762048.tblv1.1 CLR_TBL = 1 / tbl061206/clear2.tblv1.1 READFILE= 'ops/tables/default/rotbtb1a.img1.7' DATE-CLR= '2011-02-15T00:13:59.246' DATE-RO = '2011-02-15T00:14:16.163' READTIME= 4.85213088989 CLEARTIM= 0.544247984886 IP_TIME = 14 COMPRSSN= 94 / ICER4 COMPFACT= 20.6474 / From file sizes NMISSING= 0 / out of 32 segments MISSLIST= '' SETUPTBL= 'ops/tables/BLD501/setuptba.img' EXPOSTBL= 'ops/tables/default/expostba.img1.30' MASK_TBL= 'NONE ' / ops/tables/default/occulta.img1.29 IP_TBL = 'source/is/src/imagetbl.img1.147' DIV2CORR= T / Array was modified by scc_icerdiv2.pro in secchDISTCORR= F TEMPAFT1= 13.9294 TEMPAFT2= 18.5992 TEMPMID1= 13.7622 TEMPMID2= 29.8369 TEMPFWD1= 33.3812 TEMPFWD2= 32.9401 TEMPTHRM= 9999.0 TEMP_CEB= 36.7569 ORIGIN = 'NRL ' DETECTOR= 'EUVI ' IMGCTR = 45 TIMGCTR = 11602 OBJECT = '' FILENAME= '20110215_001400_n4euA.fts' DATE = '2011-02-17T13:38:38.944' INSTRUME= 'SECCHI ' OBSRVTRY= 'STEREO_A' TELESCOP= 'STEREO ' WAVEFILE= 'ops/tables/BLD501/wavetb1a.img' CCDSUM = 1.0 IPSUM = 1.0 DATE-CMD= '2011-02-15T00:14:00.000' DATE-AVG= '2011-02-15T00:14:08.010' DATE-END= '2011-02-15T00:14:16.014' OBT_TIME= 0.0 APID = 1092 OBS_ID = 1624 OBSSETID= 0 IP_PROG0= 41 / Use SSR1 APID IP_PROG1= 76 / IP Trim IP_PROG2= 1 / Divide by 2 IP_PROG3= 94 / ICER4 IP_PROG4= 0 / No Operation IP_PROG5= 0 / No Operation IP_PROG6= 0 / No Operation IP_PROG7= 0 / No Operation IP_PROG8= 0 / No Operation IP_PROG9= 0 / No Operation IP_00_19= ' 41 76 1 94 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0' IMGSEQ = 0 OBSERVER= '' BUNIT = 'DN ' BLANK = -32768 / FITS standard for UINT FPS_CMD = T VERSION = 4 CEB_STAT= 0 / SUCCESSFUL_RESPONSE CAM_STAT= 1 / CAMERA_READY READPORT= 'L ' CMDOFFSE= 0.0 RO_DELAY= 0.0237600002438 LINE_CLR= 0.000123999998323 LINE_RO = 0.0023499999661 SCSTATUS= 256 SCANT_ON= F SCFP_ON = T CADENCE = 7199 CRITEVT = '0xF000 ' EVENT = F EVCOUNT = ' -1' EVROW = 0 EVCOL = 0 COSMICS = 0 N_IMAGES= 1 VCHANNEL= 13 OFFSETCR= 0.0 DOWNLINK= 'SSR1 ' DATAMIN = 662.0 DATAMAX = 16466.0 DATAZER = 0 DATASAT = 11134 DSATVAL = 15000 DATAAVG = 1747.28 DATASIG = 889.563 DATAP01 = 722.0 DATAP10 = 740.0 DATAP25 = 764.0 DATAP75 = 2306.0 DATAP90 = 3466.0 DATAP95 = 4680.0 DATAP98 = 7182.0 DATAP99 = 9444.0 CRPIX1 = 64.5 / before GT was 1022.5 CRPIX2 = 64.5 / before GT was 1024.5 CRPIX1A = 1021.81 CRPIX2A = 926.4589999999999 RSUN = 998.546134091 CTYPE1 = 'HPLN-TAN' CTYPE2 = 'HPLT-TAN' CRVAL1 = -13.47573226505574 CRVAL2 = 155.9616760841855 CROTA = 6.79247519317 PC1_1 = 0.992981049851 PC1_2 = -0.11827355849 PC2_1 = 0.11827355849 PC2_2 = 0.992981049851 CUNIT1 = 'arcsec ' CUNIT2 = 'arcsec ' CDELT1 = 25.40438461296 CDELT2 = 25.40438461296 PV2_1 = 0.0 PV2_1A = 0.0 SC_ROLL = 6.6724751884 / degrees SC_PITCH= -5.17501338085 / arcsec SC_YAW = 0.773860734046 / arcsec SC_ROLLA= 14.7626472945 SC_PITA = 18.3685463482 SC_YAWA = 50.1551964475 INS_R0 = 0.0 / deg INS_Y0 = -136.707305908 / arcsec INS_X0 = -4.76332187653 / arcsec CTYPE1A = 'RA---TAN' CTYPE2A = 'DEC--TAN' CUNIT1A = 'deg ' CUNIT2A = 'deg ' CRVAL1A = 50.1548537447 CRVAL2A = 18.3699629794 PC1_1A = 0.96645391069 PC1_2A = 0.256840103004 PC2_1A = -0.256840103004 PC2_2A = 0.96645391069 CDELT1A = -0.000441048343976 CDELT2A = 0.000441048343976 CRLN_OBS= 109.672875864 CRLT_OBS= -2.81251143039 XCEN = -14.1697493763 YCEN = 155.080251543 EPHEMFIL= 'ahead_2011_034_01.epm.bsp' ATT_FILE= 'ahead_2011_046_03.ah.bc+1GT' DSUN_OBS= 143667689819.0 HCIX_OBS= -132034658925.0 HCIY_OBS= 56192160849.0 HCIZ_OBS= -7049468042.32 HAEX_OBS= -87359281029.5 HAEY_OBS= -114055912243.0 HAEZ_OBS= 99992398.6098 HEEX_OBS= 8145367627.55 HEEY_OBS= 143436566786.0 HEEZ_OBS= 96916224.38869999 HEQX_OBS= 7360915102.72 HEQY_OBS= 143305711775.0 HEQZ_OBS= -7049468042.32 LONPOLE = 180 HGLN_OBS= 87.0595795624 HGLT_OBS= -2.81251143039 EAR_TIME= 13.5857663278 SUN_TIME= 479.223829638 JITRSDEV= 0.0726184397936 FPSNUMS = 4229 FPSOFFY = 0 FPSOFFZ = 0 FPSGTSY = 6609 FPSGTSZ = -2877 FPSGTQY = 24307 FPSGTQZ = 22169 FPSERS1 = -3943 FPSERS2 = 5571 FPSERS3 = -1386 FPSERQ1 = 736903 FPSERQ2 = 921553 FPSERQ3 = 628004 FPSDAS1 = 542119 FPSDAS2 = 535676 FPSDAS3 = 545893 FPSDAQ1 = 69503641 FPSDAQ2 = 67862540 FPSDAQ3 = 70481943 WAVEUNIT= 'Angstrom' RSUN_REF= 695700000.0 COMMENT EXPTIME from MEBEst. clear duration = 0.700000 sec.check ATT_FILE for poCOMMENT inting source, using DATE-OBSNo compression error message detected. HISTORY Id: make_scc_hdr.pro,v 1.167 2011/02/02 12:53:32 mcnutt ExpId: getsccsecHISTORY pix.pro,v 1.15 2008/05/02 17:09:59 nathan ExpId: getscccrpix.pro,v 1.9 2HISTORY 009/12/14 18:49:22 nathan ExpId: getsccpointing.pro,v 1.10 2010/05/27 20HISTORY :59:07 nathan ExpId: secchi_reduce.pro,v 1.371 2011/02/04 16:51:31 secchHISTORY ia ExpProcessed on iapetus: x86 linux IDL7.0Id: secchi_rectify.pro,v 1.2HISTORY 2 2009/12/14 18:49:22 nathan ExpId: euvi_point.pro,v 1.14 2011/02/02 12:HISTORY 54:32 mcnutt Exp END 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@‡0@‡0@‡0@‡0@‡0@‡0@‡@@‡@@‡@@‡@@‡@@‡@@‡P@‡P@‡X@‡T@‡P@‡`@ˆ$@‡\@‡`@‡`@‡P@‡`@‡`@‡`@‡`@‡`@‡`@‡`@‡p@‡`@‡`@‡`@‡`@‡`@‡p@‡`@‡`@‡`@‡`@‡`@‡`@‡`@‡`@‡`@‡`@‡`@‡`@‡@@‡P@‡ @‡,@‡@†è@†Ø@†Ð@†°@† @† @† @† @† @† @† @† @† @† @† @† @† @† @† @† @† @† @† @† @† @†¨@†°@† @†È@† @† @† @† @† @† @† ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/tests/data/secchi_l0_b.fits0000644000175100001770000045210014716755202022303 0ustar00runnerdockerSIMPLE = T / conforms to FITS standard BITPIX = -64 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 128 NAXIS2 = 128 DATE-OBS= '2011-02-15T00:14:33.645' FILEORIG= 'B2150019.448' SEB_PROG= 'NORMAL ' SYNC = T SPWX = F EXPCMD = 16.0072 EXPTIME = 16.011 / from MEB DSTART1 = 1 DSTOP1 = 2048 DSTART2 = 1 DSTOP2 = 2048 P1COL = 51 P2COL = 2098 P1ROW = 1 P2ROW = 2048 R1COL = 1 R2COL = 2048 R1ROW = 79 R2ROW = 2126 RECTIFY = T RECTROTA= 3 / rotate 270 deg CCW LEDCOLOR= 'NONE ' LEDPULSE= 0 OFFSET = 600 BIASMEAN= 688.221 BIASSDEV= 0.02 GAINCMD = 1 GAINMODE= 'HIGH ' SUMMED = 1.0 SUMROW = 1 SUMCOL = 1 CEB_T = 48 TEMP_CCD= -70.31480000000001 POLAR = -1.0 ENCODERP= 21 WAVELNTH= 171 ENCODERQ= 21 FILTER = 'S1 ' ENCODERF= 22 FPS_ON = T OBS_PROG= '' DOORSTAT= 2 / OPEN SHUTTDIR= 'CW ' READ_TBL= 0 / tbl061206/read21762048.tblv1.1 CLR_TBL = 1 / tbl061206/clear2.tblv1.1 READFILE= 'ops/tables/default/rotbtb1b.img1.7' DATE-CLR= '2011-02-15T00:14:32.884' DATE-RO = '2011-02-15T00:14:49.802' READTIME= 4.85194206238 CLEARTIM= 0.544247984886 IP_TIME = 15 COMPRSSN= 94 / ICER4 COMPFACT= 20.6604 / From file sizes NMISSING= 0 / out of 32 segments MISSLIST= '' SETUPTBL= 'ops/tables/BLD501/setuptbb.img' EXPOSTBL= 'ops/tables/default/expostbb.img1.40' MASK_TBL= 'NONE ' / ops/tables/default/occultb.img1.26 IP_TBL = 'source/is/src/imagetbl.img1.147' DIV2CORR= T / Array was modified by scc_icerdiv2.pro in secchDISTCORR= F TEMPAFT1= 18.1056 TEMPAFT2= 23.2552 TEMPMID1= 17.8977 TEMPMID2= 35.0823 TEMPFWD1= 38.7642 TEMPFWD2= 38.1979 TEMPTHRM= 9999.0 TEMP_CEB= 42.5114 ORIGIN = 'NRL ' DETECTOR= 'EUVI ' IMGCTR = 45 TIMGCTR = 1903 OBJECT = '' FILENAME= '20110215_001400_n4euB.fts' DATE = '2011-02-17T14:59:11.739' INSTRUME= 'SECCHI ' OBSRVTRY= 'STEREO_B' TELESCOP= 'STEREO ' WAVEFILE= 'ops/tables/BLD501/wavetb1b.img' CCDSUM = 1.0 IPSUM = 1.0 DATE-CMD= '2011-02-15T00:14:00.000' DATE-AVG= '2011-02-15T00:14:41.651' DATE-END= '2011-02-15T00:14:49.656' OBT_TIME= 0.0 APID = 1092 OBS_ID = 1624 OBSSETID= 0 IP_PROG0= 41 / Use SSR1 APID IP_PROG1= 76 / IP Trim IP_PROG2= 1 / Divide by 2 IP_PROG3= 94 / ICER4 IP_PROG4= 0 / No Operation IP_PROG5= 0 / No Operation IP_PROG6= 0 / No Operation IP_PROG7= 0 / No Operation IP_PROG8= 0 / No Operation IP_PROG9= 0 / No Operation IP_00_19= ' 41 76 1 94 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0' IMGSEQ = 0 OBSERVER= '' BUNIT = 'DN ' BLANK = -32768 / FITS standard for UINT FPS_CMD = T VERSION = 4 CEB_STAT= 0 / SUCCESSFUL_RESPONSE CAM_STAT= 1 / CAMERA_READY READPORT= 'R ' CMDOFFSE= 33.639 RO_DELAY= 0.0237600002438 LINE_CLR= 0.000123999998323 LINE_RO = 0.0023499999661 SCSTATUS= 256 SCANT_ON= F SCFP_ON = T CADENCE = 7199 CRITEVT = '0xF000 ' EVENT = 'F ' EVCOUNT = ' 103' EVROW = 0 EVCOL = 0 COSMICS = 0 N_IMAGES= 1 VCHANNEL= 13 OFFSETCR= 0.0 DOWNLINK= 'SSR1 ' DATAMIN = 638.0 DATAMAX = 16438.0 DATAZER = 0 DATASAT = 2880 DSATVAL = 15000 DATAAVG = 1491.22 DATASIG = 703.703 DATAP01 = 686.0 DATAP10 = 700.0 DATAP25 = 718.0 DATAP75 = 2078.0 DATAP90 = 3018.0 DATAP95 = 3908.0 DATAP98 = 5488.0 DATAP99 = 7204.0 CRPIX1 = 64.5 / before GT was 1026.5 CRPIX2 = 64.5 / before GT was 1024.5 CRPIX1A = 1033.72 CRPIX2A = 1048.73 RSUN = 933.053963335 CTYPE1 = 'HPLN-TAN' CTYPE2 = 'HPLT-TAN' CRVAL1 = -18.81725787786763 CRVAL2 = -35.5211097507157 CROTA = -7.73561109915 PC1_1 = 0.9908997317529999 PC1_2 = 0.134602086209 PC2_1 = -0.134602086209 PC2_2 = 0.9908997317529999 CUNIT1 = 'arcsec ' CUNIT2 = 'arcsec ' CDELT1 = 25.44000053408 CDELT2 = 25.44000053408 PV2_1 = 0.0 PV2_1A = 0.0 SC_ROLL = -6.61061109915 / degrees SC_PITCH= 3.47967523116 / arcsec SC_YAW = -13.7561531094 / arcsec SC_ROLLA= -15.0768824162 SC_PITA = -18.4699981711 SC_YAWA = -130.775079821 INS_R0 = 0.0 / deg INS_Y0 = -113.207923889 / arcsec INS_X0 = -15.7410392761 / arcsec CTYPE1A = 'RA---TAN' CTYPE2A = 'DEC--TAN' CUNIT1A = 'deg ' CUNIT2A = 'deg ' CRVAL1A = -130.779199894 CRVAL2A = -18.469484198 PC1_1A = 0.960284519084 PC1_2A = -0.279022655723 PC2_1A = 0.279022655723 PC2_2A = 0.960284519084 CDELT1A = -0.000441666675939 CDELT2A = 0.000441666675939 CRLN_OBS= 288.878649712 CRLT_OBS= 3.2307578041 XCEN = -19.7105880304 YCEN = -36.208887285 EPHEMFIL= 'behind_2011_041_01.epm.bsp' ATT_FILE= 'behind_2011_046_03.ah.bc+1GT' DSUN_OBS= 153751896353.0 HCIX_OBS= 140407048875.0 HCIY_OBS= -62051775296.5 HCIZ_OBS= 8665070167.790001 HAEX_OBS= 95249892593.39999 HAEY_OBS= 120691844679.0 HAEZ_OBS= 763034270.7819999 HEEX_OBS= -10942733907.5 HEEY_OBS= -153360082806.0 HEEZ_OBS= 766295384.452 HEQX_OBS= -9985118740.93 HEQY_OBS= -153182438925.0 HEQZ_OBS= 8665070167.790001 LONPOLE = 180 HGLN_OBS= -93.7295197178 HGLT_OBS= 3.2307578041 EAR_TIME= -20.0514890002 SUN_TIME= 512.8611219209999 JITRSDEV= 0.103314220905 FPSNUMS = 4230 FPSOFFY = 0 FPSOFFZ = 0 FPSGTSY = -3689 FPSGTSZ = -765 FPSGTQY = 10455 FPSGTQZ = 9721 FPSERS1 = 1245 FPSERS2 = -5563 FPSERS3 = 922 FPSERQ1 = 1636361 FPSERQ2 = 1266903 FPSERQ3 = 1723192 FPSDAS1 = 539323 FPSDAS2 = 544633 FPSDAS3 = 540378 FPSDAQ1 = 68769097 FPSDAQ2 = 70129827 FPSDAQ3 = 69040134 WAVEUNIT= 'Angstrom' RSUN_REF= 695700000.0 COMMENT EXPTIME from MEBEst. clear duration = 0.700000 sec.check ATT_FILE for poCOMMENT inting source, using DATE-OBSNo compression error message detected. HISTORY Id: make_scc_hdr.pro,v 1.167 2011/02/02 12:53:32 mcnutt ExpId: getsccsecHISTORY pix.pro,v 1.15 2008/05/02 17:09:59 nathan ExpId: getscccrpix.pro,v 1.9 2HISTORY 009/12/14 18:49:22 nathan ExpId: getsccpointing.pro,v 1.10 2010/05/27 20HISTORY :59:07 nathan ExpId: secchi_reduce.pro,v 1.370 2011/01/14 14:14:16 secchHISTORY ib ExpProcessed on themis: x86 linux IDL7.0Id: secchi_rectify.pro,v 1.22HISTORY 2009/12/14 18:49:22 nathan ExpId: euvi_point.pro,v 1.14 2011/02/02 12:5HISTORY 4:32 mcnutt Exp END @…p@…p@…p@…p@…p@…t@…p@…p@…p@…p@…p@…p@…p@…p@…p@…p@…p@…p@…p@…p@…p@…p@…p@…p@…p@…p@…p@…p@…p@…p@…p@…p@…p@…p@…p@…€@…€@… @…´@…Ô@…ä@…ð@†@†@† @† @† @†0@†0@†0@†0@†0@†0@†0@†@@†0@†0@†0@†0@†0@†0@†0@†0@† @†0@†@†0@†0@†0@† @† @† @† @† @† @† @†@† 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@†0@†0@†0@†0@†@@†@@†0@†@@†@@†P@†@@†P@†P@†`@†P@†P@†`@†`@†`@†`@†h@†`@†p@†`@†p@†p@†h@†p@†p@†p@†p@†€@†p@†p@†p@†p@†p@†p@†p@†p@†p@†p@†œ@†p@†`@†p@†`@†p@†`@†`@†`@†`@†`@†P@†P@†P@†P@†P@†@@†@@†8@†,@…ø@…¸@…˜@…€@…€@…p@…p@…p@…p@…ˆ@…p@…p@†@…x@…p@…p@…p@…p@…p@…p././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/tests/helpers.py0000644000175100001770000000255314716755202020370 0ustar00runnerdockerfrom astropy.io import fits from astropy.wcs import WCS from numpy.testing import assert_allclose from reproject.conftest import TestLowLevelWCS def array_footprint_to_hdulist(array, footprint, header): hdulist = fits.HDUList() hdulist.append(fits.PrimaryHDU(array, header)) hdulist.append(fits.ImageHDU(footprint, header, name="footprint")) return hdulist def _underlying_wcs(wcs): # For testing purposes, try and return an underlying WCS object if equivalent if hasattr(wcs, "low_level_wcs"): if isinstance(wcs.low_level_wcs, WCS): return wcs.low_level_wcs elif isinstance(wcs.low_level_wcs, TestLowLevelWCS): return wcs.low_level_wcs._low_level_wcs elif isinstance(wcs, TestLowLevelWCS): return wcs._low_level_wcs return wcs def assert_wcs_allclose(wcs1, wcs2, **kwargs): # First check whether the WCSes are actually the same, either directly # or through layers if wcs1 is wcs2: return True if _underlying_wcs(wcs1) is _underlying_wcs(wcs2): return True header1 = wcs1.to_header() header2 = wcs2.to_header() assert sorted(header1) == sorted(header2) for key1, value1 in header1.items(): if isinstance(value1, str): assert value1 == header2[key1] else: assert_allclose(value1, header2[key1], **kwargs) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/tests/test_array_utils.py0000644000175100001770000000154214716755202022320 0ustar00runnerdockerimport numpy as np from numpy.testing import assert_allclose from scipy.ndimage import map_coordinates as scipy_map_coordinates from reproject.array_utils import map_coordinates def test_custom_map_coordinates(): np.random.seed(1249) data = np.random.random((3, 4)) coords = np.random.uniform(-2, 6, (2, 10000)) expected = scipy_map_coordinates( np.pad(data, 1, mode="edge"), coords + 1, order=1, cval=np.nan, mode="constant", ) reset = np.zeros(coords.shape[1], dtype=bool) for i in range(coords.shape[0]): reset |= coords[i] < -0.5 reset |= coords[i] > data.shape[i] - 0.5 expected[reset] = np.nan result = map_coordinates( data, coords, order=1, cval=np.nan, mode="constant", ) assert_allclose(result, expected) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/tests/test_high_level.py0000644000175100001770000002700714716755202022074 0ustar00runnerdocker# Licensed under a 3-clause BSD style license - see LICENSE.rst import itertools import os from copy import deepcopy import numpy as np import pytest from astropy import units as u from astropy.io import fits from astropy.utils.data import get_pkg_data_filename from astropy.wcs import WCS from .. import reproject_adaptive, reproject_exact, reproject_interp # TODO: add reference comparisons DATA = os.path.join(os.path.dirname(__file__), "data") ALL_MODES = ( "nearest-neighbor", "bilinear", "biquadratic", "bicubic", "flux-conserving", "adaptive-hann", "adaptive-gaussian", ) ALL_DTYPES = [] for endian in ("<", ">"): for kind in ("u", "i", "f"): for size in ("1", "2", "4", "8"): if kind == "f" and size == "1": continue ALL_DTYPES.append(np.dtype(endian + kind + size)) @pytest.fixture( params=[reproject_interp, reproject_adaptive, reproject_exact], ids=["interp", "adaptive", "exact"], ) def reproject_function(request): return request.param class TestReproject: def setup_method(self, method): self.header_in = fits.Header.fromtextfile(get_pkg_data_filename("data/gc_ga.hdr")) self.header_out = fits.Header.fromtextfile(get_pkg_data_filename("data/gc_eq.hdr")) self.header_out_size = self.header_out.copy() self.header_out_size["NAXIS"] = 2 self.header_out_size["NAXIS1"] = 600 self.header_out_size["NAXIS2"] = 550 self.array_in = np.ones((700, 690)) self.hdu_in = fits.ImageHDU(self.array_in, self.header_in) self.wcs_in = WCS(self.header_in) self.wcs_out = WCS(self.header_out) self.shape_out = (600, 550) @pytest.mark.filterwarnings("ignore::FutureWarning") def test_hdu_header(self, reproject_function): with pytest.raises(ValueError) as exc: reproject_function(self.hdu_in, self.header_out) assert exc.value.args[0] == ( "Need to specify shape since output header " "does not contain complete shape information" ) reproject_interp(self.hdu_in, self.header_out_size) @pytest.mark.filterwarnings("ignore::FutureWarning") def test_hdu_wcs(self, reproject_function): reproject_function(self.hdu_in, self.wcs_out, shape_out=self.shape_out) @pytest.mark.filterwarnings("ignore::FutureWarning") def test_array_wcs_header(self, reproject_function): with pytest.raises(ValueError) as exc: reproject_function((self.array_in, self.wcs_in), self.header_out) assert exc.value.args[0] == ( "Need to specify shape since output header " "does not contain complete shape information" ) reproject_function((self.array_in, self.wcs_in), self.header_out_size) @pytest.mark.filterwarnings("ignore::FutureWarning") def test_array_wcs_wcs(self, reproject_function): reproject_function((self.array_in, self.wcs_in), self.wcs_out, shape_out=self.shape_out) @pytest.mark.filterwarnings("ignore::FutureWarning") def test_array_header_header(self, reproject_function): reproject_function((self.array_in, self.header_in), self.header_out_size) @pytest.mark.filterwarnings("ignore::FutureWarning") def test_return_footprint(self, reproject_function): array = reproject_function( self.hdu_in, self.wcs_out, shape_out=self.shape_out, return_footprint=False ) assert isinstance(array, np.ndarray) INPUT_HDR = """ WCSAXES = 2 / Number of coordinate axes CRPIX1 = 0.5 / Pixel coordinate of reference point CRPIX2 = 0.5 / Pixel coordinate of reference point CDELT1 = -0.001666666 / [deg] Coordinate increment at reference point CDELT2 = 0.001666666 / [deg] Coordinate increment at reference point CUNIT1 = 'deg' / Units of coordinate increment and value CUNIT2 = 'deg' / Units of coordinate increment and value CTYPE1 = 'GLON-CAR' / galactic longitude, plate caree projection CTYPE2 = 'GLAT-CAR' / galactic latitude, plate caree projection CRVAL1 = 0.0 / [deg] Coordinate value at reference point CRVAL2 = 0.0 / [deg] Coordinate value at reference point LONPOLE = 0.0 / [deg] Native longitude of celestial pole LATPOLE = 90.0 / [deg] Native latitude of celestial pole """ @pytest.mark.filterwarnings("ignore::FutureWarning") @pytest.mark.parametrize("projection_type, dtype", itertools.product(ALL_MODES, ALL_DTYPES)) def test_surface_brightness(projection_type, dtype): header_in = fits.Header.fromstring(INPUT_HDR, sep="\n") header_in["NAXIS"] = 2 header_in["NAXIS1"] = 10 header_in["NAXIS2"] = 10 header_out = header_in.copy() header_out["CDELT1"] /= 2 header_out["CDELT2"] /= 2 header_out["NAXIS1"] *= 2 header_out["NAXIS2"] *= 2 data_in = np.ones((10, 10), dtype=dtype) if projection_type == "flux-conserving": data_out, footprint = reproject_exact((data_in, header_in), header_out) elif projection_type.startswith("adaptive"): data_out, footprint = reproject_adaptive( (data_in, header_in), header_out, kernel=projection_type.split("-", 1)[1], boundary_mode="ignore", ) else: data_out, footprint = reproject_interp( (data_in, header_in), header_out, order=projection_type ) assert data_out.shape == (20, 20) # Here we check that the values are still 1 despite the change in # resolution, which demonstrates that we are preserving surface # brightness. np.testing.assert_allclose(data_out, 1) IDENTITY_TEST_HDR = """ NAXIS = 2 / Number of coordinate axes NAXIS1 = 5 NAXIS2 = 10 CRPIX1 = 8540.80750619681 / Pixel coordinate of reference point CRPIX2 = 4108.61481031444 / Pixel coordinate of reference point CUNIT1 = 'deg' / Units of coordinate increment and value CUNIT2 = 'deg' / Units of coordinate increment and value CTYPE1 = 'RA---TAN' / galactic longitude, plate caree projection CTYPE2 = 'DEC--TAN' / galactic latitude, plate caree projection CRVAL1 = 282.582253365684 / [deg] Coordinate value at reference point CRVAL2 = -5.80644283270032 / [deg] Coordinate value at reference point CD1_1 = 5.92448829959494E-05 / WCS transform matrix element CD2_1 = -2.5640855053008E-08 / WCS transform matrix element CD1_2 = 1.30443859769625E-08 / WCS transform matrix element CD2_2 = 5.92479929826863E-05 / WCS transform matrix element """ @pytest.mark.filterwarnings("ignore::FutureWarning") @pytest.mark.parametrize("projection_type", ALL_MODES) def test_identity_projection(projection_type): """Sanity check: identical input & output headers should preserve image.""" header_in = fits.Header.fromstring(IDENTITY_TEST_HDR, sep="\n") data_in = np.random.rand(header_in["NAXIS2"], header_in["NAXIS1"]) if projection_type == "flux-conserving": data_out, footprint = reproject_exact((data_in, header_in), header_in) elif projection_type.startswith("adaptive"): data_out, footprint = reproject_adaptive( (data_in, header_in), header_in, kernel=projection_type.split("-", 1)[1], boundary_mode="ignore", ) else: data_out, footprint = reproject_interp( (data_in, header_in), header_in, order=projection_type ) # When reprojecting with an identical input and output header, # we may expect the input and output data to be similar, # and the footprint values to be ~ones. expected_footprint = np.ones((header_in["NAXIS2"], header_in["NAXIS1"])) np.testing.assert_allclose(footprint, expected_footprint) if projection_type != "adaptive-gaussian": np.testing.assert_allclose(data_in, data_out, rtol=1e-6) else: # The Gaussian kernel in the adaptive algorithm blurs the image assert np.all(data_in != data_out) @pytest.mark.parametrize( "reproject_function", [reproject_interp, reproject_adaptive, reproject_exact] ) def test_dimensions_checks(reproject_function): header_in = fits.Header.fromtextfile( get_pkg_data_filename("data/gc_eq.hdr", package="reproject.tests") ) header_out = header_in.copy() w_in = WCS(header_in) w_out = WCS(header_out) array_in = np.zeros((2, 3, 4, 5)) # Create mis-matches between the input and output shapes with pytest.raises( ValueError, match="Number of dimensions in input and output data should match" ): array_out, footprint = reproject_function( (array_in, w_in), w_out, shape_out=[2, 3, 4, 5, 6] ) with pytest.raises( ValueError, match="Number of dimensions in input and output data should match" ): array_out, footprint = reproject_function( (array_in[0], w_in), w_out, shape_out=[3, 4, 5, 6] ) # Give fewer array dimensions than WCS dimensions with pytest.raises(ValueError, match="Too few dimensions in input data"): array_out, footprint = reproject_function( (array_in[0, 0, 0], w_in), w_out, shape_out=[4, 5, 6] ) with pytest.raises(ValueError, match="Too few dimensions in shape_out"): array_out, footprint = reproject_function( (array_in[0], w_in), w_out, shape_out=[ 5, ], ) with pytest.raises(ValueError, match="Dimensions to be looped over must match exactly"): array_out, footprint = reproject_function((array_in, w_in), w_out, shape_out=[3, 3, 4, 5]) @pytest.mark.remote_data @pytest.mark.filterwarnings("ignore::astropy.wcs.wcs.FITSFixedWarning") @pytest.mark.parametrize( "reproject_function", [reproject_interp, reproject_adaptive, reproject_exact] ) @pytest.mark.parametrize("scheduler", ("synchronous", "processes", "threads")) # @pytest.mark.parametrize("wcs_type", ("astropy.wcs", "gwcs")) @pytest.mark.parametrize("wcs_type", ("gwcs",)) def test_dask_schedulers(reproject_function, scheduler, wcs_type): # Regression test for issues with the multi-threaded scheduler kwargs = {} if wcs_type == "astropy.wcs": input_data = fits.open(get_pkg_data_filename("galactic_center/gc_2mass_k.fits"))[0] hdu_out = fits.open(get_pkg_data_filename("galactic_center/gc_msx_e.fits"))[0] wcs_out = WCS(hdu_out.header) shape_out = hdu_out.data.shape elif wcs_type == "gwcs": pytest.importorskip("sunpy", minversion="6.0.1") asdf = pytest.importorskip("asdf") if reproject_function == reproject_exact: pytest.skip() aia = asdf.open(os.path.join(DATA, "aia_171_level1.asdf")) input_data = (aia["data"][...], aia["wcs"]) wcs_out = deepcopy(aia["wcs"]) wcs_out.forward_transform.offset_0 = -60.3123 * u.pix wcs_out.forward_transform.offset_1 = -61.9422 * u.pix shape_out = aia["data"].shape kwargs["roundtrip_coords"] = False array1 = reproject_function( input_data, wcs_out, shape_out=shape_out, return_footprint=False, **kwargs, ) array2 = reproject_function( input_data, wcs_out, shape_out=shape_out, return_footprint=False, return_type="dask", block_size=(100, 100), **kwargs, ) array2 = array2.compute(scheduler=scheduler) np.testing.assert_allclose(array1, array2, equal_nan=True) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/tests/test_utils.py0000644000175100001770000001117514716755202021125 0ustar00runnerdockerimport dask.array as da import numpy as np import pytest from astropy.io import fits from astropy.wcs import WCS from reproject.conftest import set_wcs_array_shape from reproject.tests.helpers import assert_wcs_allclose from reproject.utils import ( hdu_to_numpy_memmap, parse_input_data, parse_input_shape, parse_output_projection, ) from reproject.wcs_utils import has_celestial @pytest.mark.filterwarnings("ignore:unclosed file:ResourceWarning") def test_parse_input_data(tmpdir, valid_celestial_input_data, request): array_ref, wcs_ref, input_value, kwargs = valid_celestial_input_data data, wcs = parse_input_data(input_value, **kwargs) assert isinstance(data, da.Array | np.ndarray) np.testing.assert_allclose(data, array_ref) assert_wcs_allclose(wcs, wcs_ref) def test_parse_input_data_invalid(): data = np.ones((30, 40)) with pytest.raises(TypeError, match="input_data should either be an HDU object"): parse_input_data(data) def test_parse_input_data_missing_hdu_in(): hdulist = fits.HDUList( [fits.PrimaryHDU(data=np.ones((30, 40))), fits.ImageHDU(data=np.ones((20, 30)))] ) with pytest.raises(ValueError, match="More than one HDU"): parse_input_data(hdulist) @pytest.mark.filterwarnings("ignore:unclosed file:ResourceWarning") def test_parse_input_shape(tmpdir, valid_celestial_input_shapes): """ This should support everything that parse_input_data does, *plus* an "array-like" argument that is just a shape rather than a populated array. """ array_ref, wcs_ref, input_value, kwargs = valid_celestial_input_shapes shape, wcs = parse_input_shape(input_value, **kwargs) assert shape == array_ref.shape assert_wcs_allclose(wcs, wcs_ref) def test_parse_input_shape_invalid(): data = np.ones((30, 40)) # Invalid with pytest.raises(TypeError) as exc: parse_input_shape(data) assert exc.value.args[0] == ( "input_shape should either be an HDU object or a tuple " "of (array-or-shape, WCS) or (array-or-shape, Header)" ) def test_parse_input_shape_missing_hdu_in(): hdulist = fits.HDUList( [fits.PrimaryHDU(data=np.ones((30, 40))), fits.ImageHDU(data=np.ones((20, 30)))] ) with pytest.raises(ValueError) as exc: shape, coordinate_system = parse_input_shape(hdulist) assert exc.value.args[0] == ( "More than one HDU is present, please specify HDU to use with ``hdu_in=`` option" ) def test_parse_output_projection(valid_celestial_output_projections): wcs_ref, shape_ref, output_value, kwargs = valid_celestial_output_projections wcs, shape = parse_output_projection(output_value, **kwargs) assert shape == shape_ref assert_wcs_allclose(wcs, wcs_ref) def test_parse_output_projection_invalid_header(simple_celestial_fits_wcs): with pytest.raises(ValueError, match="Need to specify shape"): parse_output_projection(simple_celestial_fits_wcs.to_header()) def test_parse_output_projection_invalid_wcs(simple_celestial_fits_wcs): with pytest.raises(ValueError, match="Need to specify shape"): parse_output_projection(simple_celestial_fits_wcs) def test_parse_output_projection_override_shape_out(simple_celestial_wcs): # Regression test for a bug that caused shape_out to be ignored if the # WCS object had array_shape set - but shape_out should override the WCS # shape. wcs_ref = simple_celestial_wcs set_wcs_array_shape(wcs_ref, (10, 20)) if hasattr(wcs_ref, "low_level_wcs"): assert wcs_ref.low_level_wcs.array_shape == (10, 20) else: assert wcs_ref.array_shape == (10, 20) wcs, shape = parse_output_projection(wcs_ref, shape_out=(30, 40)) assert shape == (30, 40) assert_wcs_allclose(wcs, wcs_ref) @pytest.mark.filterwarnings("ignore::astropy.utils.exceptions.AstropyUserWarning") @pytest.mark.filterwarnings("ignore::astropy.wcs.wcs.FITSFixedWarning") def test_has_celestial(): from .test_high_level import INPUT_HDR hdr = fits.Header.fromstring(INPUT_HDR) ww = WCS(hdr) assert ww.has_celestial assert has_celestial(ww) from astropy.wcs.wcsapi import HighLevelWCSWrapper, SlicedLowLevelWCS wwh = HighLevelWCSWrapper(SlicedLowLevelWCS(ww, Ellipsis)) assert has_celestial(wwh) wwh2 = HighLevelWCSWrapper(SlicedLowLevelWCS(ww, [slice(0, 1), slice(0, 1)])) assert has_celestial(wwh2) class TestHDUToMemmap: def test_compressed(self, tmp_path): hdu = fits.CompImageHDU(data=np.random.random((128, 128))) hdu.writeto(tmp_path / "test.fits") mmap = hdu_to_numpy_memmap(hdu) np.testing.assert_allclose(hdu.data, mmap) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/utils.py0000644000175100001770000002361214716755202016723 0ustar00runnerdockerimport os import tempfile import uuid from pathlib import Path import astropy.nddata import dask.array as da import numpy as np from astropy.io import fits from astropy.io.fits import CompImageHDU, HDUList, Header, ImageHDU, PrimaryHDU from astropy.wcs import WCS from astropy.wcs.wcsapi import BaseHighLevelWCS, BaseLowLevelWCS from astropy.wcs.wcsapi.high_level_wcs_wrapper import HighLevelWCSWrapper __all__ = [ "parse_input_data", "parse_input_shape", "parse_input_weights", "parse_output_projection", ] def _dask_to_numpy_memmap(dask_array, tmp_dir): """ Given a dask array, write it out to disk and load it again as a Numpy memmap array. """ # Sometimes compute() has to be called twice to return a Numpy array, # so we need to check here if this is the case and call the first compute() if isinstance(dask_array.ravel()[0].compute(), da.Array): dask_array = dask_array.compute() # NOTE: here we use a new TemporaryDirectory context manager for the zarr # array because we can remove the temporary directory straight away after # converting the input to a Numpy memory mapped array. with tempfile.TemporaryDirectory() as zarr_tmp: # First compute and store the dask array to zarr using whatever # the default scheduler is at this point try: dask_array.to_zarr(zarr_tmp) except ValueError: dask_array.rechunk().to_zarr(zarr_tmp) # Load the array back to dask zarr_array = da.from_zarr(zarr_tmp) # Then store this in the Numpy memmap array (schedulers other than # synchronous don't work well when writing to a Numpy array) memmap_path = os.path.join(tmp_dir, f"{uuid.uuid4()}.npy") memmapped_array = np.memmap( memmap_path, dtype=zarr_array.dtype, shape=zarr_array.shape, mode="w+", ) da.store( zarr_array, memmapped_array, compute=True, scheduler="synchronous", ) return memmap_path, memmapped_array def hdu_to_numpy_memmap(hdu): """ Given an HDU object, return a regular Numpy memmap rather than a Numpy array backed by a memmapped buffer as returned by astropy. """ if ( hdu.header.get("BSCALE", 1) != 1 or hdu.header.get("BZERO", 0) != 0 or hdu.fileinfo() is None or hdu._data_replaced or hdu.fileinfo()["file"].compression is not None ): return hdu.data return np.memmap( hdu.fileinfo()["file"].name, mode="r", dtype=hdu.data.dtype.newbyteorder(">"), shape=hdu.data.shape, offset=hdu.fileinfo()["datLoc"], ) def parse_input_data(input_data, hdu_in=None): """ Parse input data to return a Numpy array and WCS object. """ if isinstance(input_data, str | Path): with fits.open(input_data) as hdul: return parse_input_data(hdul, hdu_in=hdu_in) elif isinstance(input_data, HDUList): if hdu_in is None: if len(input_data) > 1: raise ValueError( "More than one HDU is present, please specify " "HDU to use with ``hdu_in=`` option" ) else: hdu_in = 0 return parse_input_data(input_data[hdu_in]) elif isinstance(input_data, PrimaryHDU | ImageHDU | CompImageHDU): return hdu_to_numpy_memmap(input_data), WCS(input_data.header) elif isinstance(input_data, tuple) and isinstance(input_data[0], np.ndarray | da.core.Array): if isinstance(input_data[1], Header): return input_data[0], WCS(input_data[1]) else: if isinstance(input_data[1], BaseHighLevelWCS): return input_data[0], input_data[1] else: return input_data[0], HighLevelWCSWrapper(input_data[1]) elif ( isinstance(input_data, BaseHighLevelWCS) and input_data.low_level_wcs.array_shape is not None ): return input_data.array_shape, input_data elif isinstance(input_data, BaseLowLevelWCS) and input_data.array_shape is not None: return input_data.array_shape, HighLevelWCSWrapper(input_data) elif isinstance(input_data, astropy.nddata.NDDataBase): return input_data.data, input_data.wcs else: raise TypeError( "input_data should either be an HDU object or a tuple " "of (array, WCS) or (array, Header)" ) def parse_input_shape(input_shape, hdu_in=None): """ Parse input shape information to return an array shape tuple and WCS object. """ if isinstance(input_shape, str | Path): return parse_input_shape(fits.open(input_shape), hdu_in=hdu_in) elif isinstance(input_shape, HDUList): if hdu_in is None: if len(input_shape) > 1: raise ValueError( "More than one HDU is present, please specify " "HDU to use with ``hdu_in=`` option" ) else: hdu_in = 0 return parse_input_shape(input_shape[hdu_in]) elif isinstance(input_shape, PrimaryHDU | ImageHDU | CompImageHDU): return input_shape.shape, WCS(input_shape.header) elif isinstance(input_shape, tuple) and isinstance(input_shape[0], np.ndarray | da.core.Array): if isinstance(input_shape[1], Header): return input_shape[0].shape, WCS(input_shape[1]) else: if isinstance(input_shape[1], BaseHighLevelWCS): return input_shape[0].shape, input_shape[1] else: return input_shape[0].shape, HighLevelWCSWrapper(input_shape[1]) elif isinstance(input_shape, tuple) and isinstance(input_shape[0], tuple): if isinstance(input_shape[1], Header): return input_shape[0], WCS(input_shape[1]) else: if isinstance(input_shape[1], BaseHighLevelWCS): return input_shape else: return input_shape[0], HighLevelWCSWrapper(input_shape[1]) elif ( isinstance(input_shape, BaseHighLevelWCS) and input_shape.low_level_wcs.array_shape is not None ): return input_shape.low_level_wcs.array_shape, input_shape elif isinstance(input_shape, BaseLowLevelWCS) and input_shape.array_shape is not None: return input_shape.array_shape, HighLevelWCSWrapper(input_shape) elif isinstance(input_shape, astropy.nddata.NDDataBase): return input_shape.data.shape, input_shape.wcs else: raise TypeError( "input_shape should either be an HDU object or a tuple " "of (array-or-shape, WCS) or (array-or-shape, Header)" ) def parse_input_weights(input_weights, hdu_weights=None): """ Parse input weights to return a Numpy array. """ if isinstance(input_weights, str): return parse_input_data(fits.open(input_weights), hdu_in=hdu_weights)[0] elif isinstance(input_weights, HDUList): if hdu_weights is None: if len(input_weights) > 1: raise ValueError( "More than one HDU is present, please specify " "HDU to use with ``hdu_weights=`` option" ) else: hdu_weights = 0 return parse_input_data(input_weights[hdu_weights])[0] elif isinstance(input_weights, PrimaryHDU | ImageHDU | CompImageHDU): return input_weights.data elif isinstance(input_weights, np.ndarray): return input_weights else: raise TypeError("input_weights should either be an HDU object or a Numpy array") def parse_output_projection(output_projection, shape_in=None, shape_out=None, output_array=None): if shape_out is None: if output_array is not None: shape_out = output_array.shape elif shape_out is not None and output_array is not None: if shape_out != output_array.shape: raise ValueError("shape_out does not match shape of output_array") if isinstance(output_projection, Header): wcs_out = WCS(output_projection) try: shape_out = [ output_projection[f"NAXIS{i + 1}"] for i in range(output_projection["NAXIS"]) ][::-1] except KeyError: if shape_out is None: raise ValueError( "Need to specify shape since output header " "does not contain complete shape information" ) from None elif isinstance(output_projection, BaseLowLevelWCS | BaseHighLevelWCS): if isinstance(output_projection, BaseLowLevelWCS) and not isinstance( output_projection, BaseHighLevelWCS ): wcs_out = HighLevelWCSWrapper(output_projection) else: wcs_out = output_projection if shape_out is None: if wcs_out.low_level_wcs.array_shape is not None: shape_out = wcs_out.low_level_wcs.array_shape else: raise ValueError( "Need to specify shape_out when specifying output_projection as WCS object" ) elif isinstance(output_projection, str): hdu_list = fits.open(output_projection) shape_out = hdu_list[0].data.shape header = hdu_list[0].header wcs_out = WCS(header) hdu_list.close() else: raise TypeError("output_projection should either be a Header, a WCS object, or a filename") if len(shape_out) == 0: raise ValueError("The shape of the output image should not be an empty tuple") if ( shape_in is not None and len(shape_out) < len(shape_in) and len(shape_out) == wcs_out.low_level_wcs.pixel_n_dim ): # Add the broadcast dimensions to the output shape, which does not # currently have any broadcast dims shape_out = (*shape_in[: -len(shape_out)], *shape_out) return wcs_out, tuple(shape_out) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975823.0 reproject-0.14.1/reproject/version.py0000644000175100001770000000063514716755217017256 0ustar00runnerdocker# file generated by setuptools_scm # don't change, don't track in version control TYPE_CHECKING = False if TYPE_CHECKING: from typing import Tuple, Union VERSION_TUPLE = Tuple[Union[int, str], ...] else: VERSION_TUPLE = object version: str __version__: str __version_tuple__: VERSION_TUPLE version_tuple: VERSION_TUPLE __version__ = version = '0.14.1' __version_tuple__ = version_tuple = (0, 14, 1) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/reproject/wcs_utils.py0000644000175100001770000000234514716755202017577 0ustar00runnerdocker# Licensed under a 3-clause BSD style license - see LICENSE.rst """ WCS-related utilities """ import numpy as np from astropy.coordinates import SkyCoord from astropy.wcs import WCS from astropy.wcs.utils import pixel_to_pixel __all__ = ["has_celestial", "pixel_to_pixel_with_roundtrip"] def has_celestial(wcs): """ Returns `True` if there are celestial coordinates in the WCS. """ if isinstance(wcs, WCS): return wcs.has_celestial else: for world_axis_class in wcs.low_level_wcs.world_axis_object_classes.values(): if issubclass(world_axis_class[0], SkyCoord): return True return False def pixel_to_pixel_with_roundtrip(wcs1, wcs2, *inputs): outputs = pixel_to_pixel(wcs1, wcs2, *inputs) # Now convert back to check that coordinates round-trip, if not then set to NaN inputs_check = pixel_to_pixel(wcs2, wcs1, *outputs) reset = np.zeros(inputs_check[0].shape, dtype=bool) for ipix in range(len(inputs_check)): reset |= np.abs(inputs_check[ipix] - inputs[ipix]) > 1 if np.any(reset): for ipix in range(len(inputs_check)): outputs[ipix] = outputs[ipix].copy() outputs[ipix][reset] = np.nan return outputs ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1731975823.5876381 reproject-0.14.1/reproject.egg-info/0000755000175100001770000000000014716755220016677 5ustar00runnerdocker././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975823.0 reproject-0.14.1/reproject.egg-info/PKG-INFO0000644000175100001770000000614714716755217020012 0ustar00runnerdockerMetadata-Version: 2.1 Name: reproject Version: 0.14.1 Summary: Reproject astronomical images Author: Christoph Deil, Adam Ginsburg Author-email: Thomas Robitaille License: BSD 3-Clause Project-URL: Homepage, https://reproject.readthedocs.io Requires-Python: >=3.10 Description-Content-Type: text/x-rst License-File: LICENSE Requires-Dist: numpy>=1.23 Requires-Dist: astropy>=5.0 Requires-Dist: astropy-healpix>=1.0 Requires-Dist: scipy>=1.9 Requires-Dist: dask[array]>=2021.8 Requires-Dist: cloudpickle Requires-Dist: zarr Requires-Dist: fsspec Provides-Extra: all Requires-Dist: shapely; extra == "all" Provides-Extra: test Requires-Dist: pytest-astropy; extra == "test" Provides-Extra: testall Requires-Dist: shapely>=2.0.2; extra == "testall" Requires-Dist: sunpy[map]>=6.0.1; extra == "testall" Requires-Dist: asdf; extra == "testall" Requires-Dist: gwcs; extra == "testall" Requires-Dist: pyvo; extra == "testall" Provides-Extra: docs Requires-Dist: sphinx-astropy; extra == "docs" Requires-Dist: pyvo; extra == "docs" Requires-Dist: matplotlib; extra == "docs" |Docs| |PyPI| |Build Status| |CI Status| |Coverage Status| |Powered by Astropy Badge| About ===== The `reproject` package is a Python package to reproject astronomical images using various techniques via a uniform interface. By *reprojection*, we mean the re-gridding of images from one world coordinate system to another (for example changing the pixel resolution, orientation, coordinate system). Currently, we have implemented reprojection of celestial images by interpolation (like `SWARP `__), by the adaptive and anti-aliased algorithm of `DeForest (2004) `_, and by finding the exact overlap between pixels on the celestial sphere (like `Montage `__). It can also reproject to/from HEALPIX projections by relying on the `astropy-healpix `__ package. For more information, including on how to install the package, see https://reproject.readthedocs.io .. figure:: https://github.com/astrofrog/reproject/raw/master/docs/images/index-4.png :alt: screenshot .. |Docs| image:: https://readthedocs.org/projects/reproject/badge/?version=latest :target: https://reproject.readthedocs.io/en/latest/?badge=latest .. |PyPI| image:: https://img.shields.io/pypi/v/reproject.svg :target: https://pypi.python.org/pypi/reproject .. |Build Status| image:: https://dev.azure.com/astropy-project/reproject/_apis/build/status/astropy.reproject?branchName=main :target: https://dev.azure.com/astropy-project/reproject/_build/latest?definitionId=3&branchName=main .. |CI Status| image:: https://github.com/astropy/reproject/workflows/CI/badge.svg :target: https://github.com/astropy/reproject/actions .. |Coverage Status| image:: https://codecov.io/gh/astropy/reproject/branch/main/graph/badge.svg :target: https://codecov.io/gh/astropy/reproject .. |Powered by Astropy Badge| image:: http://img.shields.io/badge/powered%20by-AstroPy-orange.svg?style=flat :target: https://astropy.org ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975823.0 reproject-0.14.1/reproject.egg-info/SOURCES.txt0000644000175100001770000000756314716755217020604 0ustar00runnerdocker.gitignore .pre-commit-config.yaml .readthedocs.yaml CHANGES.md LICENSE MANIFEST.in README.rst RELEASE_INSTRUCTIONS.md pyproject.toml tox.ini ./reproject/adaptive/deforest.pyx .github/dependabot.yml .github/release.yml .github/workflows/ci_workflows.yml .github/workflows/update-changelog.yaml docs/Makefile docs/celestial.rst docs/conf.py docs/footprints.rst docs/healpix.rst docs/index.rst docs/installation.rst docs/make.bat docs/mosaicking.rst docs/noncelestial.rst docs/performance.rst docs/performance_mosaicking.rst reproject/__init__.py reproject/_compiler.c reproject/array_utils.py reproject/common.py reproject/conftest.py reproject/utils.py reproject/version.py reproject/wcs_utils.py reproject.egg-info/PKG-INFO reproject.egg-info/SOURCES.txt reproject.egg-info/dependency_links.txt reproject.egg-info/not-zip-safe reproject.egg-info/requires.txt reproject.egg-info/top_level.txt reproject/adaptive/__init__.py reproject/adaptive/core.py reproject/adaptive/deforest.pyx reproject/adaptive/high_level.py reproject/adaptive/tests/__init__.py reproject/adaptive/tests/test_core.py reproject/adaptive/tests/reference/test_reproject_adaptive_2d.fits reproject/adaptive/tests/reference/test_reproject_adaptive_2d_rotated.fits reproject/adaptive/tests/reference/test_reproject_adaptive_roundtrip.fits reproject/adaptive/tests/reference/test_reproject_adaptive_uncentered_jacobian.fits reproject/healpix/__init__.py reproject/healpix/core.py reproject/healpix/high_level.py reproject/healpix/utils.py reproject/healpix/tests/__init__.py reproject/healpix/tests/test_healpix.py reproject/healpix/tests/test_utils.py reproject/healpix/tests/data/bayestar.fits.gz reproject/healpix/tests/data/reference_result.fits reproject/interpolation/__init__.py reproject/interpolation/core.py reproject/interpolation/high_level.py reproject/interpolation/tests/__init__.py reproject/interpolation/tests/test_core.py reproject/interpolation/tests/reference/test_reproject_celestial_2d_gal2equ.fits reproject/interpolation/tests/reference/test_reproject_celestial_3d_equ2gal.fits reproject/interpolation/tests/reference/test_reproject_roundtrip.fits reproject/interpolation/tests/reference/test_small_cutout.fits reproject/mosaicking/__init__.py reproject/mosaicking/background.py reproject/mosaicking/coadd.py reproject/mosaicking/subset_array.py reproject/mosaicking/wcs_helpers.py reproject/mosaicking/tests/__init__.py reproject/mosaicking/tests/test_background.py reproject/mosaicking/tests/test_coadd.py reproject/mosaicking/tests/test_subset_array.py reproject/mosaicking/tests/test_wcs_helpers.py reproject/mosaicking/tests/reference/test_coadd_solar_map.fits reproject/spherical_intersect/__init__.py reproject/spherical_intersect/_overlap.pyx reproject/spherical_intersect/core.py reproject/spherical_intersect/high_level.py reproject/spherical_intersect/mNaN.h reproject/spherical_intersect/overlap.py reproject/spherical_intersect/overlapArea.c reproject/spherical_intersect/overlapArea.h reproject/spherical_intersect/overlapAreaPP.c reproject/spherical_intersect/reproject_slice_c.c reproject/spherical_intersect/reproject_slice_c.h reproject/spherical_intersect/setup_package.py reproject/spherical_intersect/tests/__init__.py reproject/spherical_intersect/tests/test_high_level.py reproject/spherical_intersect/tests/test_overlap.py reproject/spherical_intersect/tests/test_reproject.py reproject/tests/__init__.py reproject/tests/helpers.py reproject/tests/test_array_utils.py reproject/tests/test_high_level.py reproject/tests/test_utils.py reproject/tests/data/aia_171_level1.asdf reproject/tests/data/aia_171_level1.fits reproject/tests/data/cube.hdr reproject/tests/data/equatorial_3d.fits reproject/tests/data/galactic_2d.fits reproject/tests/data/gc_eq.hdr reproject/tests/data/gc_ga.hdr reproject/tests/data/generate_asdf.py reproject/tests/data/mwpan2_RGB_3600.hdr reproject/tests/data/secchi_l0_a.fits reproject/tests/data/secchi_l0_b.fits././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975823.0 reproject-0.14.1/reproject.egg-info/dependency_links.txt0000644000175100001770000000000114716755217022753 0ustar00runnerdocker ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975823.0 reproject-0.14.1/reproject.egg-info/not-zip-safe0000644000175100001770000000000114716755217021133 0ustar00runnerdocker ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975823.0 reproject-0.14.1/reproject.egg-info/requires.txt0000644000175100001770000000035514716755217021310 0ustar00runnerdockernumpy>=1.23 astropy>=5.0 astropy-healpix>=1.0 scipy>=1.9 dask[array]>=2021.8 cloudpickle zarr fsspec [all] shapely [docs] sphinx-astropy pyvo matplotlib [test] pytest-astropy [testall] shapely>=2.0.2 sunpy[map]>=6.0.1 asdf gwcs pyvo ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975823.0 reproject-0.14.1/reproject.egg-info/top_level.txt0000644000175100001770000000001214716755217021430 0ustar00runnerdockerreproject ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1731975823.5876381 reproject-0.14.1/setup.cfg0000644000175100001770000000004614716755220015031 0ustar00runnerdocker[egg_info] tag_build = tag_date = 0 ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1731975810.0 reproject-0.14.1/tox.ini0000644000175100001770000000517514716755202014533 0ustar00runnerdocker[tox] envlist = py{310,311,312}-{test}{,-oldestdeps,-numpy121} build_docs codestyle isolated_build = True [testenv] whitelist_externals = geos-config passenv = SSL_CERT_FILE setenv = HOME = {envtmpdir} MPLBACKEND = Agg PYTEST_COMMAND = pytest --arraydiff --arraydiff-default-format=fits --pyargs reproject --cov reproject --cov-config={toxinidir}/pyproject.toml {toxinidir}/docs --remote-data devdeps: PIP_EXTRA_INDEX_URL = https://pypi.anaconda.org/liberfa/simple https://pypi.anaconda.org/astropy/simple https://pypi.anaconda.org/scientific-python-nightly-wheels/simple changedir = .tmp/{envname} deps = numpy121: numpy==1.21.* oldestdeps: numpy==1.23.* oldestdeps: astropy==5.0.* oldestdeps: astropy-healpix==1.0.* oldestdeps: scipy==1.9.* oldestdeps: dask==2021.8.* devdeps: numpy>=0.0.dev0 devdeps: pyerfa>=0.0.dev0 devdeps: scipy>=0.0.dev0 devdeps: astropy>=0.0.dev0 devdeps: astropy-healpix>=0.0.dev0 # For now we don't test with asdf dev due to this issue: https://github.com/asdf-format/asdf/issues/1811 #devdeps: asdf @ git+https://github.com/asdf-format/asdf.git #devdeps: asdf-astropy @ git+https://github.com/astropy/asdf-astropy.git devdeps: gwcs @ git+https://github.com/spacetelescope/gwcs.git devdeps: sunpy[map] @ git+https://github.com/sunpy/sunpy.git devdeps: zarr<3 extras = test # Don't run the more complex tests on oldestdeps because it pulls in a nest # web of dependencies much newer than our mins !oldestdeps-!devdeps: testall install_command = !devdeps: python -I -m pip install {opts} {packages} devdeps: python -I -m pip install {opts} {packages} --pre commands = pip freeze !oldestdeps: {env:PYTEST_COMMAND} {posargs} oldestdeps: {env:PYTEST_COMMAND} -W ignore::RuntimeWarning {posargs} # Clear the download cache from the .tox directory - this is done to # avoid issues in the continuous integration when uploading results python -c 'from astropy.utils.data import clear_download_cache; clear_download_cache()' [testenv:build_docs] changedir = docs description = invoke sphinx-build to build the HTML docs extras = docs commands = pip freeze sphinx-build -W -b html . _build/html [testenv:linkcheck] changedir = docs description = check the links in the HTML docs extras = docs commands = pip freeze sphinx-build -W -b linkcheck . _build/html [testenv:codestyle] skip_install = true description = Run all style and file checks with pre-commit deps = pre-commit commands = pre-commit install-hooks pre-commit run --color always --all-files --show-diff-on-failure