- Remove numpy upper bound.
- Add patch support-numpy-2.patch:
  * Use np.asarray() to support NumPy 2 as well.

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- Switch to autosetup macro.
- Restrict numpy to < 2 because it isn't currently supported.
- Add patch support-pytest-8.patch:
  * Use pytest setup/teardown methods.

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- update to 5.2.1:
  * Support "flat" ASCII-encoded GIFTI DataArrays (pr/1298) (PM,
    reviewed by CM)
  * Tolerate missing ``git`` when reporting version info
    (pr/1286)
  * Handle Siemens XA30 derived DWI DICOMs (pr/1296)
  * Add tool for generating GitHub-friendly release notes
  * Accommodate pytest 8 changes (pr/1297) (CM)

  * nib-convert CLI tool to make image type and data dtype conversion
  * Allow dtypes to be passed to Analyze-like images at __init__()
  * Passing (u)int64 arrays to Nifti1Image and subclasses will warn
    unless a header or dtype option is passed; in the future this will
    become an error. Additionally, passing int or 'int' to set_data_dtype()
    now raises an error, requiring an explicit numpy dtype to make 64-bit
- skip python 36

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- Update to 4.0.2
  * many changes, see Changelog
  * nib-convert CLI tool to make image type and data dtype conversion 
    accessible via the command line.
  * Allow dtypes to be passed to Analyze-like images at __init__() 
    and to_filename()
  * Allow compressed GIFTI images
  * Add zstd compression support
  * Test on Python 3.10
  * Passing (u)int64 arrays to Nifti1Image and subclasses will warn 
    unless a header or dtype option is passed; in the future this will 
    become an error. Additionally, passing int or 'int' to set_data_dtype() 
    now raises an error, requiring an explicit numpy dtype to make 64-bit 
    integer images.
  * Drop support for Python 3.6, Numpy < 1.17
  * Fully removed the APIs, which have raised errors on use since 3.0
- Drop upstreamed 983.patch and purge-nose.patch

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- skip python 36

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- Update to 3.0.1:
  * Test failed by using array method on tuple. (pr/860) (Ben Darwin, reviewed by CM)
  * Validate ExpiredDeprecationErrors, promoted by 3.0 release from DeprecationWarnings. (pr/857) (CM)
  * Improve testing of data scaling in ArrayProxy API (pr/847) (CM, reviewed by Alejandro de la Vega)
  * Document SpatialImage.slicer interface (pr/846) (CM)
  * get_fdata(dtype=np.float32) will attempt to avoid casting data to np.float64 when scaling parameters would otherwise promote the data type unnecessarily. (pr/833) (CM, reviewed by Ross Markello)
  * ArraySequence now supports a large set of Python operators to combine or update in-place. (pr/811) (MC, reviewed by Serge Koudoro, Philippe Poulin, CM, MB)
  * Warn, rather than fail, on DICOMs with unreadable Siemens CSA tags (pr/818) (Henry Braun, reviewed by CM)
  * Improve clarity of coordinate system tutorial (pr/823) (Egor Panfilov, reviewed by MB)

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Tool to access multiple neuroimaging data formats

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