python312-scikit-image-0.24.0-4.1 RPM for armv6hl

From OpenSuSE Ports Tumbleweed for armv6hl

Scikit-image is a collection of algorithms for image processing in Python.
It is available free of charge and free of restriction.

Provides

• python312-scikit-image
• python3.12dist(scikit-image)
• python312-scikit-image(armv6hl-32)
• python3dist(scikit-image)

Requires

• libc.so.6
• libc.so.6(GLIBC_2.4)
• libgcc_s.so.1
• libgcc_s.so.1(GCC_3.5)
• libm.so.6
• libm.so.6(GLIBC_2.29)
• libm.so.6(GLIBC_2.38)
• libm.so.6(GLIBC_2.4)
• libstdc++.so.6
• libstdc++.so.6(CXXABI_1.3)
• libstdc++.so.6(CXXABI_1.3.9)
• libstdc++.so.6(GLIBCXX_3.4)
• libstdc++.so.6(GLIBCXX_3.4.18)
• libstdc++.so.6(GLIBCXX_3.4.21)
• libstdc++.so.6(GLIBCXX_3.4.29)
• libstdc++.so.6(GLIBCXX_3.4.32)
• libstdc++.so.6(GLIBCXX_3.4.9)
• python(abi) = 3.12
• python312-Pillow >= 9.1
• python312-PyWavelets >= 1.1.1
• python312-imageio >= 2.33
• python312-lazy-loader >= 0.4
• python312-networkx >= 2.8
• python312-numpy >= 1.23
• python312-packaging >= 21.0
• python312-scipy >= 1.9
• python312-tifffile >= 2022.8.12
• rpmlib(CompressedFileNames) <= 3.0.4-1
• rpmlib(FileDigests) <= 4.6.0-1
• rpmlib(PartialHardlinkSets) <= 4.0.4-1
• rpmlib(PayloadFilesHavePrefix) <= 4.0-1
• rpmlib(PayloadIsZstd) <= 5.4.18-1
• update-alternatives
• update-alternatives

License

BSD-3-Clause

Changelog

* Mon Dec 02 2024 Ben Greiner <[email protected]>
  - Not ready for python313 yet: gh#scikit-image/scikit-image#7585
* Fri Nov 15 2024 Ben Greiner <[email protected]>
  - Fix tests
    * Avoid random test collection order for np types
      gh#pytest-dev/pytest-xdist#432
    * Disable dask test gh#scikit-image/scikit-image#7491
* Wed Jul 17 2024 Ben Greiner <[email protected]>
  - Revert. Numpy 2 is supported.
* Wed Jul 17 2024 Steve Kowalik <[email protected]>
  - Restrict numpy to < 2 for now.
* Wed Jun 26 2024 John Paul Adrian Glaubitz <[email protected]>
  - Update to 0.24.0
    [#]# Highlights
    * Add new class ``skimage.transform.ThinPlateSplineTransform``, which can estimate
      and model non-linear transforms with thin-plate splines and allows image warping
      with ``skimage.transform.warp`` (#7040)
    [#]# New Features
    * Add new class ``skimage.transform.ThinPlateSplineTransform``, which can estimate
      and model non-linear transforms with thin-plate splines and allows image warping
      with ``skimage.transform.warp`` (#7040)
    * Add ``skimage.morphology.remove_objects_by_distance``, which removes labeled objects,
      ordered by size (default), until the remaining objects are a given distance apart (#4165)
    [#]# Performance
    * In ``skimage.feature.corner_fast``, test four directions earlier, which should more
      than half the computation time for most cases (#7394)
    [#]# Documentation
    * Remove obsolete instruction about documenting changes (#7321)
    * Clarify description of ``data_range`` parameter in
      ``skimage.metrics.structural_similarity`` (#7345)
    * Update release process notes (#7402)
    * Fix typo in docstring of ``skimage.measure.regionprops`` (#7405)
    * Fix typos in ``skimage.measure.find_contours`` (#7411)
    * Add algorithmic complexity description + suggested alternatives to
      ``skimage.restoration.rolling_ball`` docstring (#7424)
    * Remove ineffective PR contribution clause (#7429)
    * Clarify objection period for lazy consensus in SKIP 1 (#7020)
    * Add a new gallery example "Use thin-plate splines for image warping" (#7040)
    * Add a new gallery example on "Removing objects" based on their size or distance (#4165)
    [#]# Infrastructure
    * Escape user-controlled variables in GA workflow (#7415)
    * Add generation of GitHub artifact attestations to built
      sdist and wheels before upload to PyPI (#7427)
    * For publishing actions use the full length commit SHA (#7433)
    * Be mindful of resources by canceling in-progress workflows (#7436)
    * Add out-of-tree Pyodide builds in CI for ``scikit-image`` (#7350)
    [#]# Maintenance
    * Replace deprecated nose style setup/teardown with autouse fixtures (#7343)
    * Temporarily pin macos-12 runner in CI (#7408)
    * Fix NumPy2 dtype promotion issues in pywt dependent code (#7414)
    * In ``skimage.util.compare_images``, deprecate the parameter ``image2``.
      Instead use ``image0``, ``image1`` to pass the compared images. Furthermore,
      all other parameters will be turned into keyword-only parameters once the
      deprecation is complete (#7322)
    * Add support back for Python 3.9 to enhance compatibility with Numpy 2 (#7412)
    * Disable ruff/pyupgrade rule UP038 (#7430)
    * Stop verifying wheel attestations temporarily (#7444)
  - Drop patches for issues fixed upstream
    * skimage-pr7414-np2.patch
* Thu Jun 06 2024 Ben Greiner <[email protected]>
  - Add skimage-pr7414-np2.patch gh#scikit-image/scikit-image#7414
* Sun May 05 2024 Ben Greiner <[email protected]>
  - Update to 0.23.2
    [#]# Bug Fixes
    * Make sure skimage.util.img_as_ubyte supports the edge case
      where dtype('uint64').type of the provided image is
      np.ulonglong instead of np.uint64 (#7392).
    [#]# Documentation
    * Add date to 0.23.1 release notes (#7384).
    * Fix docstring of connectivity parameter in
      skimage.segmentation.watershed (#7360).
    [#]# Infrastructure
    * Ignore Sphinx warning about unpickable cache (#7400).
    * Simplify instructions on changelist in PR template (#7401).
    [#]# Maintenance
    * Use numpy.inf instead of deprecated numpy.infty (#7386).
    * Update Ruff config (#7387).
    * Update matrix and names of Azure pipelines configuration
      (#7390).
    * Use upload- and download-artifact v4 (#7389).
    * Ignore arch specific cast warnings originating from astype in
      tests (#7393).
    * Update link to numpydoc example.py (#7395).
  - Release 0.23.1/0.23.0
    [#]# Highlights
    * Ensure skimage.morphology.closing and
      skimage.morphology.opening are extensive and anti-extensive,
      respectively, if the footprint is not mirror symmetric (#6695).
    * Add parameter mode to binary_erosion, binary_dilation,
      binary_opening and binary_closing in skimage.morphology. These
      new parameters determine how array borders are handled (#6695).
    * Add parameters mode and cval to erosion, dilation, opening,
      closing, white_tophat, and black_tophat in skimage.morphology.
      These new parameters determine how array borders are handled
      (#6695).
    * Speedup skimage.util.map_array by parallelization with Cython's
      prange (#7266).
    [#]# New Features
    * Add new intensity_std property to skimage.measure.regionprops
      which computes the standard deviation of the intensity in a
      region (#6712).
    * Add parameter mode to binary_erosion, binary_dilation,
      binary_opening and binary_closing in skimage.morphology. These
      new parameters determine how array borders are handled (#6695).
    * Add functions mirror_footprint and pad_footprint to
      skimage.morphology (#6695).
    * Add parameters mode and cval to erosion, dilation, opening,
      closing, white_tophat, and black_tophat in skimage.morphology.
      These new parameters determine how array borders are handled
      (#6695).
    * Add new parameter spacing to segmentation.expand_labels to
      support anisotropic images (#7080).
    [#]# API Changes
    * Drop support for Python 3.9 (#7217).
    * Parameters shift_x and shift_y in skimage.morphology.erosion
      and skimage.morphology.dilation are deprecated. Use
      pad_footprint or modify the footprint manually instead (#6695).
    * Remove unexpected value scaling in
      skimage.morphology.skeletonize_3d for non-binary input images.
      skeletonize_3d now always returns a binary array like similar
      functions (#7095).
    * Deprecate function skimage.feature.plot_matches in favor of
      skimage.feature.plot_matched_features (#7255).
    * Deprecate skimage.morphology.skeletonize_3d in favor of just
      skimage.morphology.skeletonize (#7094).
    * Deprecate parameter output in skimage.filters.gaussian; use out
      instead (#7225).
    * Change the default value of the parameters shift_x, shift_y and
      shift_z from False to 0 in the skimage.filters.rank functions.
      This has not impact on the results. Warn in case boolean shifts
      are provided from now on (#7320).
    * Performance
    * Add lazy loading to skimage.metrics module (#7211).
    * Speedup skimage.util.map_array by parallelization with Cython's
      prange (#7266).
    [#]# Bug Fixes
    * Add exception to avoid surprising result when image is too
      small for the given parameters in skimage.feature.hog (#7153).
    * Ensure skimage.morphology.closing and
      skimage.morphology.opening are extensive and anti-extensive,
      respectively, if the footprint is not mirror symmetric (#6695).
    * Avoid a TypeError in
      skimage.registration.phase_cross_correlation when the real-time
      shift cannot be determined (disambiguate=True). Display a
      warning instead (#7259).
    * Fix logic in skimage.graph.pixel_graph which raised a TypeError
      when the parameter edge_function was provided without a mask
      (#7310).
    * Ensure cache stays empty when cache=False is passed to
      skimage.measure.regionprops (#7333).
* Sat Mar 16 2024 Atri Bhattacharya <[email protected]>
  - Update to version 0.22.0:
    * Long list of changes, see
      https://scikit-image.org/docs/stable/release_notes/release_0.22.html
  - Drop upstreamed patches
    * np-warn.patch
    * skimage-numpy125.patch
  - Enable no longer failing tests.
* Tue Aug 22 2023 Markéta Machová <[email protected]>
  - Add upstream patches np-warn.patch and skimage-numpy125.patch
    to fix build with NumPy 1.25
* Thu Jul 06 2023 Atri Bhattacharya <[email protected]>
  - Update to version 0.21.0
    * Too many changes to list, see
      https://github.com/scikit-image/scikit-image/releases/tag/v0.21.0
  - Update minimum versions of Requires/BuildRequires in keeping
    with upstream.
  - Use pyproject_* macros to build and install since there is no
    setup.py any more.
  - Drop skimage-fix-module-install.patch: fixed upstream.
  - Fix some hashbangs before build.
  - New Requires: python-lazy-loader.
  - Set PYTEST_DEBUG_TEMPROOT to a tmp dir created within the
    working dir as tests now require it to be writable.
  - Some more tests disabled due to flaky floating point issues.
* Fri Jul 01 2022 Ben Greiner <[email protected]>
  - Update to 0.19.3
    * Revert unintentional change to default multichannel behavior
      introduced in v0.19.0 for skimage.restoration.cycle_spin (now
      defaults to single channel again)
    * Fix corner case with an optimal angle of 0 degrees in
      hough_line_peaks
    * Fixed the gallery example involving registration with log-polar
      transformations
    * Update test suite for compatibility with the most recent
      tifffile release.
    * warp/rotate: fixed a bug with clipping when cval is not in the
      input range
    * Fix computation of histogram bins for multichannel
      integer-valued images
    * Update skimage.future.manual_polygon_segmentation to work with
      Matplotlib 3.5.
    * Update skimage.io.imread to avoid warnings when using
      imageio>=2.16.2.
    * Now compatible with Pillow >= 9.1 (palette may contain <256
      entries)
    * Added support for NumPy 1.23
  - Release 0.19.2
    * This is primarily a bug fix release, although there is one new
      gallery example related to detection of fluorescence at the
      nuclear envelope of mammalian cells.
  - Release 0.19.1
    * This is a small bug fix release that resolves a couple of
      backwards compatibility issues.
  - Release 0.19.0
    * A highlight of this release is the addition of the popular
      scale-invariant feature transform (SIFT) feature detector and
      descriptor. This release also introduces a perceptual blur
      metric, new pixel graph algorithms, and most functions now
      operate in single-precision when single-precision inputs are
      provided. Many other bug fixes, enhancements and performance
      improvements are detailed below.
    * A significant change in this release is in the treatment of
      multichannel images. The existing multichannel argument to
      functions has been deprecated in favor of a new channel_axis
      argument. channel_axis can be used to specify which axis of an
      array contains channel information (with channel_axis=None
      indicating a grayscale image).
    * scikit-image now uses "lazy loading", which enables users to
      access the functions from all skimage submodules without the
      overhead of eagerly importing all submodules. As a concrete
      example, after calling "import skimage" a user can directly
      call a function such as skimage.transform.warp whereas
      previously it would have been required to first "import
      skimage.transform".
    * An exciting change on the development side is the introduction
      of support for Pythran as an alternative to Cython for
      generating compiled code. We plan to keep Cython support as
      well going forward, so developers are free to use either one as
      appropriate. For those curious about Pythran, a good overview
      was given in the SciPy 2021 presentation, "Building SciPy
      Kernels with Pythran"
      (https://www.youtube.com/watch?v=6a9D9WL6ZjQ).
    * This release now supports Python 3.7-3.10.
  - Release 0.18.3
    * This is a small bugfix release for compatibility with Pooch 1.5
      and SciPy 1.7.
  - Release 0.18.2
    * This release fixes a couple of minor bugs.
  - Add skimage-fix-module-install.patch
    * gh#scikit-image/scikit-image#6428
* Fri Jan 22 2021 Benjamin Greiner <[email protected]>
  - Update to 0.18.1
    * Fix indexing error for labelling in large (>2GB) arrays (#5143,
      [#5151])
    * Only use retry_if_failed with recent pooch (#5148)
  - Announcement: scikit-image 0.18.0
    * We're happy to announce the release of scikit-image v0.18.0!
    * scikit-image is an image processing toolbox for SciPy
      that includes algorithms for segmentation, geometric
      transformations, color space manipulation, analysis,
      filtering, morphology, feature detection, and more.
    * This release of scikit-image drops support for Python
      3.6 in accordance with the NEP-29 Python and Numpy
      version support community standard
      <https://numpy.org/neps/nep-0029-deprecation_policy.html>_:
      Python 3.7 or
      newer is required to run this version.
    * For more information, examples, and documentation,
      please visit our website: https://scikit-image.org
    New Features
    * Add the iterative Lucas-Kanade (iLK) optical flow method
      (#4161)
    * Add Feret diameter in region properties (#4379, #4820)
    * Add functions to compute Euler number and Crofton perimeter
      estimation (#4380)
    * Add a function to compute the Hausdorff distance (#4382)
    * Added 3D support for many filters in skimage.filters.rank.
    * An experimental implementation of trainable pixel
      segmentation, aiming for
      compatibility with the scikit-learn API, has been added to
      skimage.future. Try it out! (#4739)
    * Add a new function segmentation.expand_labels to dilate labels
      while preventing overlap (#4795)
    * It is now possible to pass extra measurement functions to
      measure.regionprops and regionprops_table (#4810)
    * Add rolling ball algorithm for background subtraction (#4851)
    * New sample images have been added in the data subpackage:
      data.eagle
    * (#4922), data.human_mitosis (#4939), data.cells3d (#4951), and
    * data.vortex (#5041). Also note that the image for data.camera
      has been changed due to copyright issues (#4913).
    * skimage.feature.structure_tensor now supports 3D (and nD)
      images as input (#5002)
    * Many thresholding methods can now receive a precomputed
      histogram as input, resulting in significant speedups if
      multiple methods are tried on the same image, or if a fast
      histogram method is used. (#5006)
    * measure.regionprops now supports multichannel intensity images
      (#5037)
    Documentation
    * Add an example to the flood fill tutorial (#4619)
    * Docstring enhancements for marching cubes and find_contours
      (#4641)
    * A new tutorial presenting a cell biology example has been
      added to the gallery (#4648). Special thanks to Pierre Poulain
      and Fred Bernard (Université de Paris and Institut Jacques
      Monod) for scientific review of this example!
    * Improve register rotation example with notes and references
      (#4723)
    * Add versionadded for new scalar type support for "scale" param
      in transform.AffineTransform (#4733)
    * New tutorial on visualizing 3D data <https://scikit-image.org/
      docs/dev/auto_examples/applications/
      plot_3d_image_processing.html>_ (#4850)
    * Add example for 3D adaptive histogram equalization (AHE)
      (#4658)
    * Automatic formatting of docstrings for improved consistency
      (#4849)
    * Improved docstring for rgb2lab (#4839) and marching_cubes
      (#4846)
    * Improved docstring for measure.marching_cubes, mentioning how
      to decimate a mesh using mayavi (#4846)
    * Document how to contribute a gallery example. (#4857)
    * Fix and improve entropy example (#4904)
    * expand the benchmarking section of the developer docs (#4905)
    * Improved docstring for util.random_noise (#5001)
    * Improved docstrings for morphology.h_maxima and
      morphology.h_minima (#4929).
    * Improved docstring for util.img_as_int (#4888).
    * A new example demonstrates interactive exploration of
      regionprops results using the PyData stack (pandas, seaborn)
      at https://scikit-image.org/docs/dev/auto_examples/segmentation/plot_regionprops.html
      (#5010).
    * Documentation has been added to explain how to download
      example datasets <https://scikit-image.org/docs/dev/install.html#downloading-all-demo-datasets>_
      which are not installed with scikit-image (#4984). Similarly,
      the contributor guide has been updated to mention how to host
      new datasets in a gitlab repository (#4892).
    * The benchmarking section of the developer documentation
      <https://scikit-image.org/docs/dev/contribute.html#benchmarks>_
      has been expanded (#4905).
    * Added links to the image.sc forum in example pages (#5094,
      [#5096])
    * Added missing datasets to gallery examples (#5116, #5118)
    * Add farid filters in all, to populate the documentation
      (#5128, #5129)
    * Proofread gallery example for rank filters. (#5126, #5136)
    Improvements
    * float32 support for SLIC (#4683), ORB (#4684, #4697), BRIEF
      (#4685),
    * pyramid_gaussian (#4696), Richardson-Lucy deconvolution (#4880)
    * In skimage.restoration.richardson_lucy, computations are now
      done in single-precision when the input image is single-
      precision. This can give a substantial performance improvement
      when working with single precision data.
    * Richardson-Lucy deconvolution now has a filter_epsilon keyword
      argument to avoid division by very small numbers (#4823)
    * Add default level parameter (max-min) / 2 in
      measure.find_contours (#4862)
    * The performance of the SLIC superpixels algorithm
      (skimage.segmentation.slice) was improved for the case where a
      mask is supplied by the user (#4903). The specific superpixels
      produced by masked SLIC will not be identical to those
      produced by prior releases.
    * exposure.adjust_gamma has been accelerated for uint8 images by
      using a look-up table (LUT) (#4966).
    * measure.label has been accelerated for boolean input images,
      by using scipy.ndimage's implementation for this case (#4945).
    * util.apply_parallel now works with multichannel data (#4927).
    * skimage.feature.peak_local_max supports now any Minkowski
      distance.
    * We now use sparse cross-correlation to accelerate local
      thresholding functions (#4912)
    * morphology.convex_hull_image now uses much less memory by
      checking hull inequalities in sequence (#5020)
    * Polygon rasterization is more precise and will no longer
      potentially exclude input vertices. (#5029)
    * Add data optional requirements to allow pip install scikit-
      image[data] (#5105, #5111)
    * OpenMP support in MSVC (#4924, #5111)
    * Restandardize handling of Multi-Image files (#2815, #5132)
    * Consistent zoom boundary behavior across SciPy versions (#5131,
      [#5133])
    API Changes
    * skimage.restoration.richardson_lucy returns a single-precision
      output when the input is single-precision. Prior to this
      release, double-precision was always used. (#4880)
    * The default value of threshold_rel in skimage.feature.corner
      has changed from 0.1 to None, which corresponds to letting
    * skimage.feature.peak_local_max decide on the default. This is
      currently equivalent to threshold_rel=0.
    * In measure.label, the deprecated neighbors parameter has been
      removed. (#4942)
    * The image returned by data.camera has changed because of
      copyright issues (#4913).
    Bug fixes
    * A bug in label2rgb has been fixed when the input image had
      np.uint8 dtype (#4661)
    * Fixed incorrect implementation of skimage.color.separate_stains
      (#4725)
    * Many bug fixes have been made in peak_local_max (#2592, #4756,
      [#4760], #5047)
    * Fix bug in random_walker when input labels have negative values
      (#4771)
    * PSF flipping is now correct for Richardson-Lucy deconvolution
      work in >2D (#4823)
    * Fix equalize_adapthist (CLAHE) for clip value 1.0 (#4828)
    * For the RANSAC algorithm, improved the case where all data
      points are outliers, which was previously raising an error
      (#4844)
    * An error-causing bug has been corrected for the bg_color
      parameter in label2rgb when its value is a string (#4840)
    * A normalization bug was fixed in
      metrics.variation_of_information (#4875)
    * Euler characteristic property of skimage.measure.regionprops
      was erroneous for 3D objects, since it did not take tunnels
      into account. A new implementation based on integral geometry
      fixes this bug (#4380).
    * In skimage.morphology.selem.rectangle the height argument
      controlled the width and the width argument controlled the
      height. They have been replaced with nrow and ncol. (#4906)
    * skimage.segmentation.flood_fill and skimage.segmentation.flood
      now consistently handle negative values for seed_point.
    * Segmentation faults in segmentation.flood have been fixed
      (#4948, #4972)
    * A segfault in draw.polygon for the case of 0-d input has been
      fixed (#4943).
    * In registration.phase_cross_correlation, a ValueError is raised
      when NaNs are found in the computation (as a result of NaNs in
      input images). Before this fix, an incorrect value could be
      returned where the input images had NaNs (#4886).
    * Fix edge filters not respecting padding mode (#4907)
    * Use v{} for version tags with pooch (#5104, #5110)
    * Fix compilation error in XCode 12 (#5107, #5111)
    Deprecations
    * The indices argument in skimage.feature.peak_local_max has been
      deprecated. Indices will always be returned. (#4752)
    * In skimage.feature.structure_tensor, an order argument has been
      introduced which will default to 'rc' starting in version 0.20.
      (#4841)
    * skimage.feature.structure_tensor_eigvals has been deprecated
      and will be removed in version 0.20. Use
      skimage.feature.structure_tensor_eigenvalues instead.
    * The skimage.viewer subpackage and the skivi script have been
      deprecated and will be removed in version 0.20. For interactive
      visualization we recommend using dedicated tools such as napari
      <https://napari.org>_ or plotly <https://plotly.com>_. In a
      similar vein, the qt and skivi plugins of skimage.io have been
      deprecated and will be removed in version 0.20. (#4941, #4954)
    * In skimage.morphology.selem.rectangle the arguments width and
      height have been deprecated. Use nrow and ncol instead.
    * The explicit setting threshold_rel=0` was removed from the
      Examples of the following docstrings: skimage.feature.BRIEF,
      skimage.feature.corner_harris,
      skimage.feature.corner_shi_tomasi,
      skimage.feature.corner_foerstner, skimage.feature.corner_fast,
      skimage.feature.corner_subpix, skimage.feature.corner_peaks,
      skimage.feature.corner_orientations, and
      skimage.feature._detect_octave``.
    * In skimage.restoration._denoise, the warning regarding
      rescale_sigma=None was removed.
    * In skimage.restoration._cycle_spin, the # doctest: +SKIP was
      removed.
* Thu Jan 07 2021 Markéta Machová <[email protected]>
  - Deleted patches:
    * scikit-image-pr4735-ragged.patch
    * scikit-image-pr4731-floatingwarnings.patch

Files

/usr/lib/python3.12/site-packages/scikit_image-0.24.0.dist-info
/usr/lib/python3.12/site-packages/scikit_image-0.24.0.dist-info/INSTALLER
/usr/lib/python3.12/site-packages/scikit_image-0.24.0.dist-info/LICENSE.txt
/usr/lib/python3.12/site-packages/scikit_image-0.24.0.dist-info/METADATA
/usr/lib/python3.12/site-packages/scikit_image-0.24.0.dist-info/RECORD
/usr/lib/python3.12/site-packages/scikit_image-0.24.0.dist-info/REQUESTED
/usr/lib/python3.12/site-packages/scikit_image-0.24.0.dist-info/WHEEL
/usr/lib/python3.12/site-packages/skimage
/usr/lib/python3.12/site-packages/skimage/__init__.py
/usr/lib/python3.12/site-packages/skimage/__init__.pyi
/usr/lib/python3.12/site-packages/skimage/__pycache__
/usr/lib/python3.12/site-packages/skimage/__pycache__/__init__.cpython-312.opt-1.pyc
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Fabrice Bellet, Thu Dec 12 00:31:04 2024