./math/py-numpy, Array processing for numbers, strings, records, and objects

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Branch: CURRENT, Version: 1.16.4, Package name: py37-numpy-1.16.4, Maintainer: pkgsrc-users

NumPy is a general-purpose array-processing package designed to
efficiently manipulate large multi-dimensional arrays of arbitrary
records without sacrificing too much speed for small multi-dimensional
arrays. NumPy is built on the Numeric code base and adds features
introduced by numarray as well as an extended C-API and the ability to
create arrays of arbitrary type.

There are also basic facilities for discrete fourier transform,
basic linear algebra and random number generation.


Required to run:
[lang/g95] [math/lapack] [math/blas] [devel/py-setuptools] [devel/py-cython] [lang/python37]

Required to build:
[pkgtools/cwrappers]

Master sites:

SHA1: 153d74c1cecd247edf517f8e481c567fa083fa18
RMD160: 6af02f6924c58515c8890dd88909f76e4e815c6e
Filesize: 5002.676 KB

Version history: (Expand)


CVS history: (Expand)


   2019-06-14 16:33:07 by Adam Ciarcinski | Files touched by this commit (2) | Package updated
Log message:
py-numpy: updated to 1.16.4

1.16.4:
BUG: Some PyPy versions lack PyStructSequence_InitType2.
MAINT, DEP: Fix deprecated ``assertEquals()``
BUG: Fix structured_to_unstructured on single-field types (backport)
BLD: Make CI pass again with pytest 4.5
TST: Register markers in conftest.py.
BUG: Removes ValueError for empty kwargs in arraymultiter_new
BUG: Add TypeError to accepted exceptions in crackfortran.
BUG: Handle subarrays in descr_to_dtype
BUG: Protect generators from log(0.0)
BUG: Always return views from structured_to_unstructured when...
BUG: Catch stderr when checking compiler version
BUG: longdouble(int) does not work
BUG: distutils/system_info.py fix missing subprocess import
BUG,DEP: Fix writeable flag setting for arrays without base
MAINT: Prepare for the 1.16.4 release.
BUG: special case object arrays when printing rel-, abs-error
   2019-04-24 12:09:59 by Adam Ciarcinski | Files touched by this commit (2) | Package updated
Log message:
py-numpy: updated to 1.16.3

1.16.3:
Pull requests merged
BUG: Fixes to numpy.distutils.Configuration.get_version
BUG: Fix errors in string formatting while producing an error
BUG: Convert fortran flags in environment variable
BUG: Remove error-prone borrowed reference handling
BUG: Add error checks when converting integers to datetime types
BUG: Remove our patched version of `distutils.split_quoted`
BUG: Fix testsuite failures on ppc and riscv
BUG: Fix parameter validity checks in ``random.choice``
BUG: Ensure linspace works on object input.
BLD: fix include list for sdist building.
BUG: __array_interface__ offset was always ignored
MAINT: f2py: Add a cast to avoid a compiler warning.
BUG, MAINT: fix reference count error on invalid input to ndarray.flat
ENH: Cast covariance to double in random mvnormal
BUG: Fix null pointer dereference in PyArray_DTypeFromObjectHelper
BUG: Use C call to sysctlbyname for AVX detection on MacOS.
BUG: Fix crash when calling savetxt on a padded array
BUG: ufunc.at iteration variable size fix
DOC: Add as_ctypes_type to the documentation
BUG: Return the coefficients array directly
BUG/MAINT: Tidy typeinfo.h and .c
BUG: Make allow_pickle=False the default for loading
DOC: fix some doctest failures
BUG/MAINT: Tidy typeinfo.h and .c
BLD: address mingw-w64 issue. Follow-up to gh-9977
REL: Prepare for the NumPy release.
   2019-03-04 10:09:46 by Adam Ciarcinski | Files touched by this commit (3) | Package updated
Log message:
py-numpy: updated to 1.16.2

1.16.2:
TST: fix vmImage dispatch in Azure
MAINT: remove complicated test of multiarray import failure mode
BUG: fix signed zero behavior in npy_divmod
MAINT: Add functions to parse shell-strings in the platform-native...
BUG: Fix regression in parsing of F90 and F77 environment variables
BUG: parse shell escaping in extra_compile_args and extra_link_args
BLD: Windows absolute path DLL loading
   2019-02-01 10:24:25 by Adam Ciarcinski | Files touched by this commit (7) | Package updated
Log message:
py-numpy: updated to 1.16.1

1.16.1:
* BUG: Check paths are unicode, bytes or path-like
* ENH: add mm->q floordiv
* ENH: port np.core.overrides to C for speed
* BUG: Ensure probabilities are not NaN in choice
* MAINT: add warning to numpy.distutils for LDFLAGS append behavior.
* ENH: add "max difference" messages to np.testing.assert_array_equal...
* BUG: Fix incorrect/missing reference cleanups found using valgrind
  that wraps subprocess
* DOC, TST: Clean up matplotlib imports
* BUG: Fix reference counting for subarrays containing objects
* BUG: Ensure failing memory allocations are reported
* BUG: Fix leak of void scalar buffer info
* MAINT: Change the order of checking for local file.
* BUG: loosen kwargs requirements in ediff1d
* DOC: clarify the extend of __array_function__ support in NumPy...
* BUG: Check that dtype or formats arguments are not None.
* BUG: fix f2py problem to build wrappers using PGI's Fortran
* BUG: double decref of dtype in failure codepath. Test and fix
* BUG, DOC: test, fix that f2py.compile accepts str and bytes,...
* BUG: resolve writeback in arr_insert failure paths
* ENH: Add mm->qm divmod
* BUG: Fix SystemError when pickling datetime64 array with pickle5
* BUG: Fix rounding of denormals in double and float to half casts.
* TEST: pin mingw version
* BUG: ndarrays pickled by 1.16 cannot be loaded by 1.15.4 and...
* BUG: do not Py_DECREF NULL pointer
* ENH: add _dtype_ctype to namespace for freeze analysis
* BUG: fail if old multiarray module detected
* BUG: Do not double-quote arguments passed on to the linker
* BUG: Do not insert extra double quote into preprocessor macros
   2019-01-24 23:27:10 by Maya Rashish | Files touched by this commit (2)
Log message:
py-numpy: backport upstream commit for PR pkg/53887

https://github.com/numpy/numpy/commit/5 … 4fcc926a46
   2019-01-15 22:36:57 by Adam Ciarcinski | Files touched by this commit (3) | Package updated
Log message:
py-numpy: updated to 1.16.0

NumPy 1.16.0 Release Notes

This NumPy release is the last one to support Python 2.7 and will be maintained
as a long term release with bug fixes until 2020. Support for Python 3.4 been
dropped, the supported Python versions are 2.7 and 3.5-3.7. The wheels on PyPI
are linked with OpenBLAS v0.3.4+, which should fix the known threading issues
found in previous OpenBLAS versions.

Downstream developers building this release should use Cython >= 0.29 and, if
using OpenBLAS, OpenBLAS > v0.3.4.

This release has seen a lot of refactoring and features many bug fixes, improved
code organization, and better cross platform compatibility. Not all of these
improvements will be visible to users, but they should help make maintenance
easier going forward.
   2018-11-05 10:23:26 by Adam Ciarcinski | Files touched by this commit (2) | Package updated
Log message:
py-numpy: updated to 1.15.4

NumPy 1.15.4:

This is a bugfix release for bugs and regressions reported following the 1.15.3
release.  The Python versions supported by this release are 2.7, 3.4-3.7. The
wheels are linked with OpenBLAS v0.3.0, which should fix some of the linalg
problems reported for NumPy 1.14.
   2018-10-31 14:13:20 by Adam Ciarcinski | Files touched by this commit (2) | Package updated
Log message:
py-numpy: updated to 1.15.3

NumPy 1.15.3:
This is a bugfix release for bugs and regressions reported following the 1.15.2
release.  The Python versions supported by this release are 2.7, 3.4-3.7. The
wheels are linked with OpenBLAS v0.3.0, which should fix some of the linalg
problems reported for NumPy 1.14.