---
- branch: MAIN
  date: Tue Nov  2 18:48:28 UTC 2021
  files:
  - new: '1.84'
    old: '1.83'
    path: pkgsrc/math/py-numpy/Makefile
    pathrev: pkgsrc/math/py-numpy/Makefile@1.84
    type: modified
  - new: '1.33'
    old: '1.32'
    path: pkgsrc/math/py-numpy/PLIST
    pathrev: pkgsrc/math/py-numpy/PLIST@1.33
    type: modified
  - new: '1.66'
    old: '1.65'
    path: pkgsrc/math/py-numpy/distinfo
    pathrev: pkgsrc/math/py-numpy/distinfo@1.66
    type: modified
  - new: '0'
    old: '1.9'
    path: pkgsrc/math/py-numpy/patches/patch-numpy_distutils_system__info.py
    pathrev: pkgsrc/math/py-numpy/patches/patch-numpy_distutils_system__info.py@0
    type: deleted
  id: 20211102T184828Z.5ec79a3dd210554a395b64f7b27471af9e8cd746
  log: |
    py-numpy: updated to 1.21.3

    1.21.0

    New functions

    Add PCG64DXSM BitGenerator

    Deprecations

    The .dtype attribute must return a dtype
    Inexact matches for numpy.convolve and numpy.correlate are deprecated
    np.typeDict has been formally deprecated
    Exceptions will be raised during array-like creation
    Four ndarray.ctypes methods have been deprecated

    Expired deprecations

    Remove deprecated PolyBase and unused PolyError and PolyDomainError

    Compatibility notes

    Error type changes in universal functions
    __array_ufunc__ argument validation
    __array_ufunc__ and additional positional arguments
    Validate input values in Generator.uniform
    /usr/include removed from default include paths
    Changes to comparisons with dtype=...
    Changes to dtype and signature arguments in ufuncs
    Ufunc signature=... and dtype= generalization and casting
    Distutils forces strict floating point model on clang

    C API changes

    Use of ufunc->type_resolver and ���type tuple���

    New Features

    Added a mypy plugin for handling platform-specific numpy.number precisions
    Let the mypy plugin manage extended-precision numpy.number subclasses
    New min_digits argument for printing float values
    f2py now recognizes Fortran abstract interface blocks
    BLAS and LAPACK configuration via environment variables
    A runtime-subcriptable alias has been added for ndarray

    Improvements

    Arbitrary period option for numpy.unwrap
    np.unique now returns single NaN
    Generator.rayleigh and Generator.geometric performance improved
    Placeholder annotations have been improved
    Performance improvements
    Improved performance in integer division of NumPy arrays
    Improve performance of np.save and np.load for small arrays

    Changes

    numpy.piecewise output class now matches the input class
    Enable Accelerate Framework
  module: pkgsrc
  subject: 'CVS commit: pkgsrc/math/py-numpy'
  unixtime: '1635878908'
  user: adam