python312-scikit-image-0.22.0-1.2 RPM for riscv64

From OpenSuSE Ports Tumbleweed for riscv64

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(riscv-64)
• python3dist(scikit-image)

Requires

• libc.so.6()(64bit)
• libc.so.6(GLIBC_2.27)(64bit)
• libgcc_s.so.1()(64bit)
• libgcc_s.so.1(GCC_3.0)(64bit)
• libm.so.6()(64bit)
• libm.so.6(GLIBC_2.27)(64bit)
• libstdc++.so.6()(64bit)
• libstdc++.so.6(CXXABI_1.3)(64bit)
• libstdc++.so.6(CXXABI_1.3.9)(64bit)
• libstdc++.so.6(GLIBCXX_3.4)(64bit)
• libstdc++.so.6(GLIBCXX_3.4.18)(64bit)
• libstdc++.so.6(GLIBCXX_3.4.21)(64bit)
• libstdc++.so.6(GLIBCXX_3.4.26)(64bit)
• libstdc++.so.6(GLIBCXX_3.4.29)(64bit)
• libstdc++.so.6(GLIBCXX_3.4.32)(64bit)
• libstdc++.so.6(GLIBCXX_3.4.9)(64bit)
• python(abi) = 3.12
• python312-Pillow >= 9.0.1
• python312-PyWavelets >= 1.1.1
• python312-imageio >= 2.7
• python312-lazy-loader >= 0.2
• python312-networkx >= 2.8
• python312-numpy >= 1.21.1
• python312-packaging >= 21.0
• python312-scipy >= 1.8
• 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

* Sat Mar 16 2024 Atri Bhattacharya <badshah400@gmail.com>
  - 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 <mmachova@suse.com>
  - Add upstream patches np-warn.patch and skimage-numpy125.patch
    to fix build with NumPy 1.25
* Thu Jul 06 2023 Atri Bhattacharya <badshah400@gmail.com>
  - 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 <code@bnavigator.de>
  - 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 <code@bnavigator.de>
  - 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 <mmachova@suse.com>
  - Deleted patches:
    * scikit-image-pr4735-ragged.patch
    * scikit-image-pr4731-floatingwarnings.patch
* Wed Aug 12 2020 Benjamin Greiner <code@bnavigator.de>
  - Apply patches to fix errors due to numpy warnings
    * scikit-image-pr4731-floatingwarnings.patch
      gh#scikit-image/scikit-image#4731
    * scikit-image-pr4735-ragged.patch
      gh#scikit-image/scikit-image#4735
  - Update requirements
  - make multibuild
* Sat May 30 2020 Arun Persaud <arun@gmx.de>
  - update to version 0.17.2:
    * Bug fixes
      + We made pooch an optional dependency, since it has been added as
      required dependency by mistake (#4666), and we fixed a bug about
      the path used for pooch to download data (#4662)
      + The support of float 32 images was corrected for slic
      segmentation, ORB and BRIEF feature detectors (#4683, #4684,
      [#4685], #4696, #4697)
      + We removed deprecated arguments (#4691)
      mask, shift_x, and shift_y from skimage.filters.median
      beta1 and beta2 from skimage.filters.frangi
      beta1 and beta2 from skimage.filters.hessian
      dtype from skimage.io.imread
      img from skimage.morphology.skeletonize_3d.
      + Gallery examples were updated to suppress warnings and take into
      account new default values in some functions (#4692 and #4676)
* Tue May 12 2020 Tomáš Chvátal <tchvatal@suse.com>
  - We need at least pytest 4.x series
* Sat May 09 2020 Arun Persaud <arun@gmx.de>
  - update to version 0.17.1:
    * fixed bug in label2rgb
  - changes from version 0.17.0:
    * New Features
      + Hyperparameter calibration of denoising algorithms with
      restoration.calibrate_denoiser (#3824), with corresponding
      gallery example and tutorial.
      + measure.profile_line has a new reduce_func parameter to accept a
      reduction operation to be computed on pixel values along the
      profile (#4206)
      + nD windows for reducing spectral leakage when computing the FFT
      of n-dimensional images, with filters.window (#4252) (with new
      gallery example)
      + Add Minkowski distance metric support to corner_peak (#4218)
      + util.map_array was introduced to map a set of pixel values to
      another one (for example to map region labels to the size of
      regions in an image of labels) #4612 and #4646
      + Masked marching cubes (#3829)
      + The SLIC superpixel algorithm now accepts a mask to exclude some
      parts of the image and force the superpixel boundaries to follow
      the boundary of the mask (#3850)
      + Pooch -- on the fly download of datasets from github: we
      introduced the possibility to include larger datasets in the
      data submodule, thanks to the pooch library. data.download_all
      fetches all datasets. (#3945)
      + Starting with this version, our gallery examples now have links
      to run the example notebook on a binder instance. (#4543)
      + New doc tutorials and gallery examples have been added to the
      use of regionprops_table (#4348) geometrical transformations
      (#4385), and the registration of rotation and scaling with no
      shared center (#4515). A new section on registration has been
      added to the gallery (#4575).
    * Improvements
      + scikit-image aims at being fully compatible with 3D arrays, and
      when possible with nD arrays. nD support has been added to color
      conversion functions (#4418), to the CLAHE
      exposure.equalize_adapthist algorithm (#4598) and to the Sobel,
      Scharr, and Prewitt filters (#4347).
      + Multichannel support for denoise_tv_bregman (#4446)
      + The memory footprint of segmentation.relabel_sequential has been
      reduced in the case of labels much larger than the number of
      labels (#4612)
      + Random ellipses are now possible in draw.random_shapes (#4493)
      + Add border conditions to ridge filters (#4396)
      + segmentation.random_walker new Jacobi preconditioned conjugate
      gradient mode (#4359) and minor corrections #4630
      + Warn when rescaling with NaN in exposure.intensity_range (#4265)
      + We have also improved the consistency of several functions
      regarding the way they handle data types
      + Make dtype consistent in filters.rank functions (#4289)
      + Fix colorconv float32 to double cast (#4296)
      + Prevent radon from upcasting float32 arrays to double (#4297)
      + Manage iradon_sart input and output data type (#4300)
    * API Changes
      + When used with floating point inputs, denoise_wavelet no longer
      rescales the range of the data or clips the output to the range
      [0, 1] or [-1, 1]. For non-float inputs, rescaling and clipping
      still occurs as in prior releases (although with a bugfix
      related to the scaling of sigma).
      + For 2D input, edge filters (Sobel, Scharr, Prewitt, Roberts, and
      Farid) no longer set the boundary pixels to 0 when a mask is not
      supplied. This was changed because the boundary mode for
      scipy.ndimage.convolve is now 'reflect', which allows meaningful
      values at the borders for these filters. To retain the old
      behavior, pass mask=np.ones(image.shape, dtype=bool) (#4347)
      + When out_range is a range of numbers and not a dtype in
      :func:`skimage.exposure.rescale_intensity`, the output data type
      will always be float (#4585)
      + The values returned by
      :func:`skimage.exposure.equalize_adapthist` will be slightly
      different from previous versions due to different rounding
      behavior (#4585)
      + Move masked_register_translation from feature to registration
      (#4503)
      + Move register_translation from skimage.feature to
      skimage.registration (#4502)
      + Move watershed from morphology to segmentation (#4443)
      + Rename draw.circle() to draw.disk() (#4428)
      + The forward and backward maps returned by
      :func:`skimage.segmentation.relabel_sequential` are no longer
      NumPy arrays, but more memory-efficient ArrayMap objects that
      behave the same way for mapping. See the relabel_sequential
      documentation for more details. To get NumPy arrays back, cast
      it as a NumPy array: np.asarray(forward_map) (#4612)
    * Bugfixes
      + denoise_wavelet: For user-supplied sigma, if the input image
      gets rescaled via img_as_float, the same scaling will be applied
      to sigma to preserve the relative scale of the noise
      estimate. To restore the old, behaviour, the user can manually
      specify rescale_sigma=False.
      + Fix Frangi artefacts around the image (#4343)
      + Fix Negative eigenvalue in inertia_tensor_eigvals due to
      floating point precision (#4589)
      + Fix morphology.flood for F-ordered images (#4556)
      + Fix h_maxima/minima strange behaviors on floating point image
      input (#4496)
      + Fix peak_local_max coordinates ordering (#4501)
      + Sort naturally peaks coordinates of same amplitude in
      peak_local_max (#4582)
      + Fix denoise_nl_means data type management (#4322)
      + Update rescale_intensity to prevent under/overflow and produce
      proper output dtype (#4585)
    * Deprecations
      + The minimal supported Python version by this release is 3.6.
      + Parameter inplace in skimage.morphology.flood_fill has been
      deprecated in favor of in_place and will be removed in version
      scikit-image 0.19.0 (#4250).
      + skimage.segmentation.circle_level_set has been deprecated and
      will be removed in 0.19. Use skimage.segmentation.disk_level_set
      instead.
      + skimage.draw.circle has been deprecated and will be removed in
      0.19. Use skimage.draw.disk instead.
      + Deprecate filter argument in iradon due to clash with python
      keyword (#4158)
      + Deprecate marching_cubes_classic (#4287)
      + Change label2rgb default background value from -1 to 0 (#4614)
      + Deprecate rgb2grey and grey2rgb (#4420)
      + Complete deprecation of circle in morphsnakes (#4467)
      + Deprecate non RGB image conversion in rgb2gray (#4838, #4439),
      and deprecate non gray scale image conversion in gray2rgb
      (#4440)

Files

/usr/lib64/python3.12/site-packages/scikit_image-0.22.0.dist-info
/usr/lib64/python3.12/site-packages/scikit_image-0.22.0.dist-info/INSTALLER
/usr/lib64/python3.12/site-packages/scikit_image-0.22.0.dist-info/LICENSE.txt
/usr/lib64/python3.12/site-packages/scikit_image-0.22.0.dist-info/METADATA
/usr/lib64/python3.12/site-packages/scikit_image-0.22.0.dist-info/RECORD
/usr/lib64/python3.12/site-packages/scikit_image-0.22.0.dist-info/REQUESTED
/usr/lib64/python3.12/site-packages/scikit_image-0.22.0.dist-info/WHEEL
/usr/lib64/python3.12/site-packages/skimage
/usr/lib64/python3.12/site-packages/skimage/__init__.py
/usr/lib64/python3.12/site-packages/skimage/__init__.pyi
/usr/lib64/python3.12/site-packages/skimage/__pycache__
/usr/lib64/python3.12/site-packages/skimage/__pycache__/__init__.cpython-312.opt-1.pyc
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Fabrice Bellet, Tue Apr 30 23:58:22 2024