The NumPy 1.21.4 is a maintenance release that fixes a few bugs
discovered after 1.21.3. The most important fix here is a fix for the
NumPy header files to make them work for both x86_64 and M1 hardware
when included in the Mac universal2 wheels. Previously, the header files
only worked for M1 and this caused problems for folks building x86_64
extensions. This problem was not seen before Python 3.10 because there
were thin wheels for x86_64 that had precedence. This release also
provides thin x86_64 Mac wheels for Python 3.10.
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
This delivers 64 bit index BLAS libraries alongside 32 bit ones. This is often
called ILP64 in the BLAS world, as opposed to LP64 where integers are 32 bit
due to the Fortran default integer type, not to be confused with the basic
system ABI used by C. For really large vectors on modern machines, you want
an 'ILP64' BLAS and layers on top of it.
In preparation of better support for vendor BLAS libraries, I had to realize
that you better use the C interfaces supplied by them, not the netlib one
strapped on. A simple reason of practicability: The vendor blas libraries,
just like openblas, like to ship all symbols in one library, so you get them
whether you want it or not. Also implementations may skip Fortran and implement
the underlying functionality directly in C anyway, so one might skip a
layer of indirection. Future will tell if other layers will follow. We still
have the framework of individual layers from Netlib to combine with certain
implementations that miss them (Accelerate framework comes to mind, which
needs further work).
The framework of netlib reference packages for the separate libraries
is instructive and helps keeping things small when you not need all of them.
The installation location of the headers is now in a subdirectory to be able
to have 32 and 64 bit variants independently. The 32 bit ones are linked to
${PREFIX}/include to keep the old picture. We could be brave and remove
those, but there is some value in a build just trying -lcblas and
inclusion of <cblas.h> to be happy.
There is one blas.buildlink3.mk that is supposed to be used only once and
so avoids a combination of conflicting libraries (as the 64 bit index symbols
have the same names as the 32 bit ones).
Basic usage for getting LAPACK+BLAS is still the same as before. You get
CBLAS and LAPACKE by setting BLAS_C_INTERFACE=yes in the package. The 64 bit
indices are selected via BLAS_INDEX64=yes.
Due to the special nature of the Accelerate framework, a package has to
explicitly indicate support for it and it will also not appear on the
list of implementations by default. The reason is that it does provide
mainly CBLAS and CLAPACK (another version of C interface to LAPACK, f2c-based)
and BLAS/LAPACK with f2c/g77 calling conventions. A default build with
gfortran would not like that
This commit also fixes up math/py-numpy and math/py-numpy16 to follow the
new scheme, as that are the only packages directly affected by the change
in CBLAS providership.
1.20.3:
BUG: Correct ``datetime64`` missing type overload for ``datetime.date``
MAINT: Remove ``__all__`` in favor of explicit re-exports
BLD: Strip extra newline when dumping gfortran version on MacOS
BUG: fix segfault in object/longdouble operations
MAINT: Use towncrier build explicitly
MAINT: Relax certain integer-type constraints
MAINT: Remove unsafe unions and ABCs from return-annotations
MAINT: Allow more recursion depth for scalar tests.
BUG: Initialize the full nditer buffer in case of error
BLD: remove unnecessary flag ``-faltivec`` on macOS
MAINT, CI: treats _SIMD module build warnings as errors through...
BUG: for MINGW, threads.h existence test requires GLIBC > 2.12
BUG: Make changelog recognize gh- as a PR number prefix.
REL, DOC: Prepare for the NumPy 1.20.3 release.
BUG: Fix failing mypy test in 1.20.x.
Better have this listed as breakage for py36-numpy than not having the
bulk builds start up because the packages using this still want to
build it for python 3.6
1.20.2:
* Update f2py from master.
* ``diagflat`` could overflow on windows or 32-bit platforms
* Fix refcount leak in f2py ``complex_double_from_pyobj``.
* Fix tiny memory leaks when ``like=`` overrides are used
* Remove temporary change of descr/flags in VOID functions
* Segfault in nditer buffer dealloc for Object arrays
* Remove suspicious type casting
* remove nonsensical comparison of pointer < 0
* verify pointer against NULL before using it
* check if PyArray_malloc succeeded
* incorrect error fallthrough in nditer
* Backport CI fixes from main.
* Add annotations for ``dtype.__getitem__``, ``__mul__`` and...
* NameError in numpy.distutils.fcompiler.compaq
* Fixed ``where`` keyword for ``np.mean`` & ``np.var`` methods
* Update apt package list before Python install
* Ensure that re-exported sub-modules are properly annotated
* Fix ma coercion list-of-ma-arrays if they do not cast to...
* Fix small valgrind-found issues
* Fix small issues found with pytest-leaks
1.20.1:
* Add missing placeholder annotations
* Fix typo in ``numpy.__init__.py``
* don't mutate list of fake libraries while iterating over...
* gracefully shuffle memoryviews
* Use C linkage for random distributions
* fix when GitHub Actions builds trigger, and allow ci skips
* Allow unmodified use of isclose, allclose, etc. with timedelta
* Allow pickling all relevant DType types/classes
* Fix missing signed_char dependency.
* Change license date 2020 -> 2021
* CircleCI seems to occasionally time out, increase the limit
* Fix f2py bugs when wrapping F90 subroutines.
* crackfortran regex simplify
* threads.h existence test requires GLIBC > 2.12.
* Prepare for the NumPy 1.20.1 release.
1.20.0:
* enable multi-platform SIMD compiler optimizations
* NEP 36 (fair play)
* Deprecate aliases of builtin types in python 3.7+
* `np.resize` negative shape and subclasses edge case fixes
* Add the method `permuted` to Generator.
* Fix issues with non-reduce broadcasting axes
* Ensure PyArray_FromScalar always returns the requested dtype
* Technical decisions for new DTypes
* Create Preliminary DTypeMeta class and np.dtype subclasses
* Avoid exception in NpzFile destructor if constructor raises...
* Improved `__str__` for polynomials
* Remove Accelerate support
* [DOC] Added tutorial about the numpy.ma module.
* Add where argument to np.mean
* Deprecate passing shape=None to mean shape=()
* Ensure indexing errors will be raised even on empty results
* improve printing of arrays with multi-line reprs
* Correct documentation of ``__array__`` when used as output...
* Implement concatenate dtype and casting keyword arguments
* Deprecate `numpy.dual`.
* Potential fix for divmod(1.0, 0.0) to raise divbyzero and...
* Increase guidance and detail of np.polynomial docstring
* Add transition note to all lib/poly functions
* Rewrite of array-coercion to support new dtypes
* Add ``full_output`` argument to ``f2py.compile``.
* Deprecate ufunc.outer with matrix inputs
* Unify cached (C-level static) imports
* Allow attach docs twice but error if wrong
* Fix default fallback in genfromtxt
* ENH:Umath Replace raw SIMD of unary float point(32-64) with NPYV...
* added edge keyword argument to digitize
* Update the f2py section of the "Using Python as Glue" page.
* Improve `rec.array` function documentation
* include dt64/td64 isinstance checks in ``__init__.pxd``
* Clarifications for np.std
* Order percentile monotonically
* cleanups to quantile
* Update master after 1.19.x branch.
* Ensure out argument is returned by identity for 0d arrays
* Clarifications for ``np.var``.
* Add a note about performance of isclose compared to math.isclose
* Clean up the implementation of quantile
* Bump hypothesis from 5.12.0 to 5.14.0
* Improve "tobytes" docstring.
* Fix tools/download-wheels.py.
* Require Python >= 3.6 in setup.py
* Fix malformed docstrings in ma.
* Optimize Cpu feature detect in X86, fix for GCC on macOS
* np.info does not show keyword-only arguments
* Fix bad reference in ``numpy.ma``
* Fix detecting and testing armhf features
* Fix packbits documentation rendering,
* Fix troubleshooting code snippet when env vars are empty
* relpath fails for different drives on windows
* Fix ``np.ma.core.doc_note``
* Bump numpydoc version
* Stop Using PyEval_Call* and simplify some uses
* Improve the ARM cpu feature detection by parsing /proc/cpuinfo
* Reconstruct Testing Guideline.
* Cleanup 'tools/download-wheels.py'
* link np.interp to SciPy's interpolation functions (closes...
* Fix spelling typo - homogenous to homogeneous.
* Use AVX-512 for np.isnan, np.infinite, np.isinf and np.signbit
* Fix refcounting in add_newdoc
* Create a link for the circleCI artifact
* Fix dtype leak in `PyArray_FromAny` error path
* Indentation for docstrings
* Fix small leaks in error path and ``empty_like`` with shape
* Streamline download-wheels.
* Fix an obvious mistake in a message printed in doc/Makefile.
* Bump cython from 0.29.17 to 0.29.19
* Bump hypothesis from 5.14.0 to 5.15.1
* Bump pytest-cov from 2.8.1 to 2.9.0
* Use AVX-512 for np.frexp and np.ldexp
* add index for user docs.
* ARM Neon implementation with intrinsic for np.argmax.
* Tighten howto-docs guide
* Make ctypes optional on Windows
* Hardcode buffer handling for simple scalars
* Stop uploading wheels to Rackspace.
* Use a raw string for the fromstring docstring.
* Validate and disable CPU features in runtime
* Implement the NumPy C SIMD vectorization interface
* Update make dist html target.
* Update sphinx conf to use xelatex.
* turn on codecov patch diffs
* endpoints of array returned by geomspace() should match...
* support python 3.10
* Chain some exceptions.
* Improve intersect1d docstring
* Update assert_warns parameter list
* Simplify assert_warns in test_io.py
* make NEP 18 status Final
* Add style guide to howto_document
* NEP for C style guide
* Fix description of dtype default in linspace
* Add extern to PyArrayDTypeMeta_Type declaration
* Add a reference into NEP 29,
* Catch remaining cases of Py_SIZE and Py_TYPE as lvalues
* Fix deprecated warn for Intel/Apple/Clang Compiler
* make clearer that sinc is normalized by a factor pi
* update roadmap
* fixes einsum output order with optimization
* add a "make show" command to doc/Makefile
* Add a NEP link to all neps.
* extend error message when Accelerate is detected
* Improve assert_warns docstring with example
* Bump hypothesis from 5.15.1 to 5.16.0
* Fix development_workflow links
* fix GCC 10 major version comparison
* install mingw32 v7.3.0 for win32
* Fixes for 18 broken links
* use zip instead of range in piecewise
* add `norm=forward,backward` to numpy.fft functions
* Optimize the performace of np.packbits in ARM-based machine.
* Fix result when a gufunc output broadcasts the inputs.
* Point Contributing page to new NEP 45
* make Py_SET_SIZE and Py_SET_TYPE macros a bit safer
* Error when ``size`` is smaller than broadcast input...
* Correct MV Normal sig
* raise IEEE exception on AIX
* only single-polynomial fitting in np.polynomial.Polynomial.fit()
* Minor rounding correction in Generator.binomial
* trivial doc style fix in NEP 45.
* add type stubs from numpy-stubs
* make callbacks threadsafe
* replace \t by whitespace for readability
* MAINT:ARMHF Fix detecting feature groups NEON_HALF and NEON_VFPV4
* Improve buffer speed
* move thread-local declaration definition to common...
* Fix cython warning in random/_common.pyx.
* Bump pytest from 5.4.2 to 5.4.3
* Remove non-threadsafe sigint handling from fft calculation
* SSE2 intrinsic implementation for float64 input of np.enisum
* Ensure SeedSequence 0-padding does not collide with spawn...
* Remove deprecated numeric types and deprecate remaining
* drop win32 3.7, 3.6 builds
* simplifying annotations for np.core.from_numeric
* make typing module available at runtime
* Throw TypeError on operator concat on Numpy Arrays
* Add new tests for array coercion
* fix sin/cos bug when input is strided array
* fix name of first parameter to dtype constructor in type...
* Added an example for np.transpose(4d_array)
* changed np.generic arguments to positional-only
* Clarify dtype default for logspace and geomspace
* Disallow complex args in arange
* Raise TypeError for float->timedelta promotion
* Add ``__f2py_numpy_version__`` attribute to Fortran modules.
* Fix reference count leak in mapping.c
* Move and improve ``test_ignore_nan_ulperror``.
* make addition of types a "new feature" in release notes
* Avx512 intrinsics implementation for float64 input np.log
* Bump pytest-cov from 2.9.0 to 2.10.0
* Bump hypothesis from 5.16.0 to 5.16.1
* bump mypy version to 0.780
* Openblas 0.3.10
* add annotation for abs
* check if std=c99 is really required
* disable Shippable cache
* Expand array-creation benchmarks
* Implemented two dtype-related TODO's
* Initialize stop-reading in array_from_text
* Updated documentation for numpy.squeeze
* add tool to find functions missing types
* ENH,BUG:distutils Remove the origins from the implied features
* Some code clean up in loadtxt
* remove obsolete goal_time param
* Fix uint->timedelta promotion to raise TypeError
* Replace `PyUString_GET_SIZE` with `PyUnicode_GetLength`.
* Fix outdated docs link
* add a static typing test for memoryviews as ArrayLikes
* Added annotations to 8 functions from np.core.fromnumeric
* Update master after 1.19.0 release.
* Allow genfromtxt to unpack structured arrays
* Prefer generator expressions over list comprehensions...
* cross-reference numpy.dot and numpy.linalg.multi_dot
* Bump hypothesis from 5.16.1 to 5.16.3
* Bump mypy from 0.780 to 0.781
* Add lib.format.open_memmap to autosummary.
* Fix bug in AVX complex absolute while processing array of...
* remove blacklist/whitelist terms
* Add extra debugging information to CPU features detection
* Add support for file like objects to np.core.records.fromfile
* updated gcc minimum recommend version to build from source
* Allow `None` to be passed to certain `generic` subclasses
* fixed docstring for descr_to_dtype
* Remove "matrix" from `triu` docstring.
* add py.typed sentinel to package manifest
* Fixup quantile tests to not use `np.float`
* Add CPU entry for Emscripten / WebAssembly
* Disable Python 3.9-dev testing.
* Add instruction about stable symlink
* Disable use_hugepages in case of ValueError
* Add dep directive to alen docstring.
* Add RPATH support for AIX
* fix typo
* Fix PyArray_SearchSorted signature.
* Add annotations to the last 8 functions in numpy.core.fromnumeric
* Use f90 compiler specified in f2py command line args for...
* reword random c-api introduction, cython is documented in...
* Tweak a sentence about broadcasting.
* Prepend `ma.` to references in ``numpy.ma``
* Remove redundant word
* add unique() to See Also of repeat()
* add example to unique() and make connection to repeat()
* Chaining exceptions in numpy/core/_internal.py
* add manylinux1 OpenBlAS 0.3.10 hashes and test for them
* Add Matti Picus to steering council page
* make dtype generic over scalar type
* Added a section in the 'Iterating over arrays' doc page...
* Tidy exception chaining in _datasource.py
* Fixes for deprecated functions in scalartypes.c.src
* Bump mypy from 0.781 to 0.782
* Bump hypothesis from 5.16.3 to 5.19.0
* Update NumPy logos
* Remove unneeded call to PyUnicode_READY
* Fix deprecated functions in scalarapi.c
* switch to logo with text
* Bring the NumPy C SIMD vectorization interface "NPYV"...
* Add basic benchmarks for scalar indexing and assignment
* fix decode error when building and get rid of warn
* Minor RST formatting.
* update cython to 0.29.21
* Upgrade to Python 3.8 for DEBUG testing.
* Fix RST/numpydoc standard.
* Move typing tests
* Explicitly disallow object user dtypes
* add example to corrcoef function
* adding docs on passing dimensions as tuple to ndindex
* Remove overzealous automatic RST link
* Add explanation of 'K' and 'A' layout options to 'asarray*'...
* Add a reST label to /user/building.rst
* fix mgrid output for lower precision float inputs
* temporarily disable OpenBLAS hash checks
* Do not inherit flags from the structured part of a union...
* replace dec.slow with pytest.mark.slow
* Make void scalar to array creation copy when dtype is...
* fix inconsistent parameter name in np.ndindex docstring
* setuptools 49.2.0 emits a warning, avoid it
* add examples to random number generator pages
* describe ufunc copy behavior when input and output overlap
* Fix ``runtest.py`` warning.
* Add pandas to doc_requirements.txt
* fix sphinx deprecation
* Avoid using uninitialized bytes in getlimits.py.
* Explaining why datetime64 doesn't work for allclose + isclose
* improve SIMD features tables
* update openblas hashes, re-enable check
* Remove code that will never run
* Bump hypothesis from 5.19.0 to 5.19.1
* linspace should round towards -infinity
* Disable shippable until we can fix it.
* Remove Duplicated Code (function extract rmap)
* Remove Duplicated Code
* Change for loop (range -> for each)
* Deprecate NumPy object scalars
* clarify whats required for new features
* fix new compiler warnings on clang
* fix the search dir of dispatch-able sources
* Remove deprecated python function 'file()'
* Validate output size in bin- and multinomial
* Pin setuptools
* Update compiler check for AVX-512F
* fix the test for ``np.ones``
* edit to the documentation of lib/polynomial.py/polyfit
* Configure hypothesis in ``np.test()`` for determinism,...
* Remove unused pip install
* Fix bad MPL kwarg in docs
* Fix types including curly braces
* Remove the links for ``True`` and ``False``
* Integrate the new CPU dispatcher with umath generator
* Fix wrong markups in `arrays.dtypes`
* Remove links for C codes
* Fix the declarations of C fuctions
* also use Py_SET_REFCNT instead of Py_REFCNT
* Chaining exceptions in numpy/__init__.py
* update val to be scalar or array like optional
* Bump hypothesis from 5.19.1 to 5.20.2
* Speed up trim_zeros
* Fix string/bytes to complex assignment
* Add correctness vs strictness consideration for np.dtype
* Add ufunc docstring to generated docs.
* Update master after 1.19.1 release.
* Revert "Merge pull request 16248 from alexrockhill/edge"
* Fix memory leak of buffer-info cache due to relaxed strides
* Store exported buffer info on the array
* update OpenBLAS build
* Allow array-like types to be coerced as object array elements
* Deprecate size-one ragged array coercion
* Change the name of the folder "icons" to "logo".
* enable colors for `runtests.py --ipython`
* Clarify input to irfft/irfft2/irfftn
* Bump hypothesis from 5.20.2 to 5.23.2
* update numpy/lib/arraypad.py with appropriate chain exception
* Use arm64 instead of aarch64 on travisCI.
* Chain exception in ``distutils/fcompiler/environment.py``.
* Added the `order` parameter to `np.array()`
* Add Neon SIMD implementations for add, sub, mul, and div
* Fixed typo in lib/recfunctions.py
* Add pypy win32 CI testing.
* Increase the use of `Literal` types
* Add NumPy declarations to be used by Cython 3.0+
* Add the new NumPy logo to Sphinx pages
* Bump hypothesis from 5.23.2 to 5.23.9
* Bump pytest from 5.4.3 to 6.0.1
* pin setuptools < 49.2.0
* Revise glossary page
* clip() allows arguments.
* Updated NEP-35 with keyword-only instruction
* Simplify scalar power
* Improve error handling in umathmodule setup
* Disclaimer for FFT library
* Add error return to all casting functionality and NpyIter
* fix a compile and a test warning
* Clarify that `np.char` comparison functions always return...
* Use a less ambiguous example for array_split
* Bump hypothesis from 5.23.9 to 5.23.12
* core._internal style fixups
* Remove _EXTRAFLAGS variable
* fix typo in polydiv that prevented promotion to poly1d
* Revert boolean casting back to elementwise comparisons...
* Raise error on complex input to i0
* Remove obsolete conversion to set
* Remove the deprecated financial functions.
* Remove uses of PyString_FromString.
* use the pydata_sphinx_theme
* Fixes duplication of toctree content
* Bump pytest-cov from 2.10.0 to 2.10.1
* Bump hypothesis from 5.23.12 to 5.26.0
* Adjust NEP-35 to make it more user-accessible
* Add placeholder stubs for all sub-modules
* Split einsum into multiple files
* Handle errors from the PyCapsule API
* Fix spacing in vectorize doc
* Remove `np.ctypeslib.ctypes_load_library`
* make spacing consistent in NEP 41 bullet points
* fix ilp64 blas dot/vdot/... for strides > int32 max
* allow running mypy through runtests.py
* Remove duplicated symbols from link step
* Check for reduce intrinsics and AVX512BW mask operations
* Chain some exceptions in arraysetops.
* Chain ValueError in ma.timer_comparison
* Rewrite promotion using common DType and common instance
* Make arrayprint str and repr the ndarray defaults.
* Fix a few typos.
* Change handling of the expired financial functions.
* Add annotations to 3 functions in `np.core.function_base`
* Replace uses of PyString_AsString.
* ``Replace PyUString_*`` by ``PyUnicode_*`` equivalents.
* Replace PyInt macros with their PyLong replacement
* Add support for the abstract scalars to cython code
* Fix incorrect cython definition of npy_cfloat
* Clean up some Npy_ vs Py_ macro usage
* Remove references to PyCObject
* Update numpy4matlab
* Clean up some more bytes vs unicode handling
* Remove Void special case for "safe casting"
* Remove redundant headers
* Remove NPY_COPY_PYOBJECT_PTR
* Merge the npysort library into multiarray
* Add tests mapping out the rules for metadata in promotion
* revert trim_zeros changes from gh-16911
* Make `np.complexfloating` generic w.r.t. `np.floating`
* remove calls to PyUnicode_AsASCIIString,...
* Added missing methods to `np.flatiter`
* Correct error in description of ndarray.base
* Document `dtype.metadata`
* Use utf8 strings in more of datetime
* Add placeholder stubs for `ndarray` and `generic`
* Bump hypothesis from 5.26.0 to 5.30.0
* Remove some callers of functions in numpy.compat
* Make the window functions exactly symmetric
* Improve error handling in npy_cpu_init
* Fix the documented signatures of four `ufunc` methods
* Make the `NPY_CPU_DISPATCH_CALL` macros expressions not...
* Fixed headings for tutorials so they appear at new theme...
* Canonical_urls
* Fix various issues with the `np.generic` annotations
* enabled negation of library choices in NPY_*_ORDER
* comment out metadata added via javascript
* move informational files from numpy.doc.*.py to their...
* use sysconfig not distutils.sysconfig where possible
* Fix dimension discovery of within array ragged cases
* Added templates for different types of issues.
* Deprecated ndindex.ndincr
* Remove old PY_VERSION_HEX and sys.version_info code
* Avoid using ``np.random`` in typing tests.
* Fix link quick-start in old random API functions
* ``__array_interface__`` data address cannot be bytes
* Run slow CI jobs earlier so builds finishes sooner
* Add tool to help speed up Travis CI
* Fix docstring cross-referencing
* Added a PR "Reviewer guidelines" document.
* work around a bug in the new theme
* add fused multiply subtract/add intrinics for all supported...
* Bump hypothesis from 5.30.0 to 5.33.0
* Bump pydata-sphinx-theme from 0.3.2 to 0.4.0
* add new glossary terms
* remove some glosssary terms
* Fix the path to `mypy.ini` in `runtests.py`
* sysconfig attributes/distutils issue
* Annotate the arithmetic operations of `ndarray` and `generic`
* Merge together index page content into a single file
* Fix a typo in shape_base.
* Pass optimizations arguments to asv build
* Change the financial name access warning to DeprecationWarning
* Update master after 1.19.2 release.
* Simplify ufunc pickling
* Cleanup some pystring macros
* Replace remaining PyString macros.
* Replace PyUString_Check by PyUnicode_Check.
* fix pickling user-scalars by allowing non-format buffer...
* Replace some ``pyint_*`` macros defined in ``npy_3kcompat``.
* set upper versions for build dependencies
* (dtype-transfer) make copyswapn and legacy cast wrapper...
* Replace PyBaseString_Check by PyUnicode_Check
* Replace a couple of missed npy_3kcompat macros
* pin pygments to 2.6.1, 2.7.0 breaks custom NumPyC lexer
* Bump hypothesis from 5.33.0 to 5.35.1
* Bump pytest from 6.0.1 to 6.0.2
* Move the `fromnumeric` annotations to their own stub file
* Syntax-highlight .src files on github
* Mark vendored/generated files in .gitattributes
* Cleanup f2py/cfuncs.py
* Set deprecated fields to null in PyArray_InitArrFuncs
* allow registration of hard-coded structured dtypes
* Add annotations for five array construction functions
* Fix incorrect `.. deprecated::` syntax that led to this...
* improve `issubdtype` and scalar type docs
* Remove the tables of scalar types, and use `..autoclass`...
* update lexer highlighting and make numpydocs a regular...
* Chaining exceptions in npyio.py
* Regenerate table in NEP 29 (add numpy 1.18 and 1.19 to list)
* Fix syntax errors in docstrings for versionchanged, versionadded
* Add partial/non-contig load and store intrinsics for 32/64-bit
* Support for the NVIDIA HPC SDK nvfortran compiler
* Fix a macOS build failure when `NPY_BLAS_ORDER=""`
* Add PR prefix labeler and numpy prefix mapping
* Guide to writing how-tos
* How-to guide for I/O
* clarify residuals return param
* Add Npy__PyLong_AsInt function.
* Bump hypothesis from 5.35.1 to 5.35.3
* Finish replacing PyInt_Check
* Remove an obsolete paragraph.
* Edit nep-0042 for more clarity
* Add annotations for remaining `ndarray` / `generic` non-magic...
* Fixes module data docstrings.
* Fix default_rng docstring
* ensure _UFuncNoLoopError can be pickled
* Minor grammatical correction in quickstart doc.
* NumPy restyling for pydata theme
* Fix docstring for np.matmul
* Bump hypothesis from 5.35.3 to 5.36.1
* Remove old debug print statement.
* Replace "About NumPy" with "Document conventions"
* Update info on doc style rules
* Fix default void, datetime, and timedelta in array coercion
* Replace append_metastr_to_string function.
* Fixed ARGOUTVIEWM memory deallocation.
* rm incorrect alias from recarray user article.
* Rewrite can-cast logic in terms of NEP 42
* Add arraysetops to an autosummary
* Replace PyUString_ConcatAndDel in nditer_constr.c.
* Replace PyUString_ConcatAndDel in mapping.c.
* Replace the module-level `__getattr__` with explicit type...
* in PR template, set expectations for PR review timeline
* Cleanup remaining PyUString_ConcatAndDel use.
* Special case how numpy scalars are coerced to signed integer
* Mark the typing tests as slow
* Fix a parameter type in the `putmask` docs
* adding operational form documentation for array ops
* Deprecate coercion to subarray dtypes
* Fix memory leak in array-coercion error paths
* chains nested try-except in numpy/ma/core.py
* Remove bogus reference to _a_
* Fix formatting issues in description of .c.src files
* nep-0029 typo correction
* Move aliases for common scalar unions to `numpy.typing`
* Fix memoryleaks related to NEP 37 function overrides
* Fix the links for ``Ellipsis``
* add references to einops and opt_einsum
* Disable 32 bit PyPy CI testing on Windows.
* Security warning for issues template
* Fix "Feature request" spelling in issue templates
* Chaining exception in numpy\numpy\ma\mrecords.py
* Cleaner template for PRs
* fix exception chaining in format.py
* Warn on unsupported Python 3.10+
* Typed` to the PyPi classifier
* Fix the references for macros
* update NEP 42 with discussion of type hinting applications
* Remove CoC pages from Sphinx
* Chain exceptions in "_polybase.py"
* Bump hypothesis from 5.36.1 to 5.37.0
* add dtype option to numpy.lib.function_base.cov and corrcoef
* Fixes incorrect error message in numpy.ediff1d
* update code of conduct URL
* Add some entries for C types and macros
* Add annotations for bitwise operations
* add some missing scalar aliases
* Fix doctest for full_like
* remove os.fspath and os.PathLike backports
* Move the `np.core.numeric` annotations to their own stub...
* type np.unicode_ as np.str_
* Fix the entries for members of structures
* Fix the references for `random.*`
* circleCI- merge before build, add -n to sphinx
* Remove duplicate placeholder annotations
* Use consistent lowercase on docs landing page
* fix incompatible type comparison in numpy.lib.utils.info
* Fix failures in master related to userdtype registeration
* remove `sys` from the type stubs
* Fix empty 'C style guide' page
* Rename 'Quickstart tutorial'
* Added the Final feature for all constants
* Fewer blank lines in PR template
* Display real license on license page
* Add docstrings for some scalar types
* Update top links in landing page
* Make merge ref grabbing conditional on the PR being active
* Fix Bool types in C functions
* Fix some links and typos
* Cleanup compatibility code for pathlib
* Fix a typo
* add function to get broadcast shape from a given set of...
* Fixed crash on self-referential dtypes
* Bump hypothesis from 5.37.0 to 5.37.1
* Bump pydata-sphinx-theme from 0.4.0 to 0.4.1
* Bump mypy from 0.782 to 0.790
* Make `np.number` generic with respect to its precision
* fix conditional for PR merge command
* explicit disabling `CCompilerOpt` in F2PY
* Cygwin Workaround for 14787 on affected platforms
* Fix the entries of C functions
* Fix wrong blockquotes
* Add NEP 43 links to NEP 42
* Remove directives for some constants
* Update the annotations in `np.core.numeric`
* Add the entry for ``NPY_FEATURE_VERSION``
* Fix typos
* Add annotations for three new constants
* Fix Boolean array indexing typo
* Respect dtype of all-zero argument to poly1d
* include additional feedback
* Cleanup swig for Python 3.
* Move the `np.core.numerictypes` annotations to their own...
* Bump hypothesis from 5.37.1 to 5.37.3
* Add annotations for `np.core._type_aliases`
* Typo in lexsort docstring
* Coercion/cast of array to a subarray dtype will be fixed
* Clean up the errors of the typing tests
* Fixed file handle leak in array_tofile.
* Fix a broken `np.core.numeric` test
* Mark dead code as intentional for clang.
* removed old references to submodule licenses
* Fix typos (general documentation)
* Fully qualify license trove classifier
* mac dylib treated as part of extra objects by f2py
* Add annotations for 9 `ndarray`/`generic` magic methods
* Fix the document for arrays interface
* Conversion of some strings to f-strings
* Fix some references
* Valid docstring for config_py function show()
* Conversion of some strings to fstrings, part II
* Conversion of some strings to fstrings, part III
* Tidy up references to str_ / bytes_
* Conversion of some strings to fstrings, part iv
* Fix the references for ``__array_*__``
* Add entries for macros
* Add ``identity_value`` to ``PyUFuncObject``
* Replace ``PyCObject`` with ``PyCapsule``
* Don't use Python highlighting for non-python code
* Fix some references
* Bump hypothesis from 5.37.3 to 5.38.0
* update to OpenBLAS v0.3.12
* Fix reference to atleast_1d
* Add annotations for `np.core._ufunc_config`
* Add annotations for `np.core.shape_base`
* fix np.timedelta64('nat').__format__ throwing an exception
* f2py incorrectly translates dimension declarations.
* Fix installing Numpy on z/OS
* Ensure inner loop signature is complete everywhere
* simplify source path names in compilation test
* Add a doctest for ``getlincoef``
* Update master after 1.19.3 release.
* Make test suite work in FIPS (140-2) Mode
* Add a docstring for getarrlen
* Update README badge for travis-ci.com
* Refine a number of ``np.generic`` annotations
* Update release documentation and software
* Add sum intrinsics for float/double.
* (nditer_impl.h) Use ``intp`` instead of ``char *`` for offset...
* Fix small bug in ``make_lite.py``.
* Modify Templates
* Bump hypothesis from 5.38.0 to 5.41.0
* Bump pytz from 2020.1 to 2020.4
* use a more standard workflow for PyPy
* Update master after 1.19.4 release.
* Rename ``DtypeLike`` to ``DTypeLike``
* Fix small typos.
* Fixed an issue where ``.pyi`` files were ignored by numpy...
* Fix Doc Typos & Added Example
* Improve the einsum bench by adding new bench cases and variable...
* Revert gh-17654 - f2py incorrectly translates dimension...
* Add more files to ``.gitgnore``
* Do not import sliding_window_view to main namespace
* Do not override ``sliding_window_view`` module to ``numpy``
* Add NEP-35 instructions on reading like= downstream
* Use importlib to find numpy root directory in distutils
* Remove unused ``**options`` from MaskedArray ``__new__``...
* Remove Python 3.6 CI testing.
* move linux jobs to github actions
* Bump hypothesis from 5.41.0 to 5.41.2
* Fix cblas detection on windows
* add pypy3.7
* compare platform.architecture() correctly
* Add "performance" category to the release notes
* Fix segfault due to out of bound pointer in floatstatus...
* Fix buffer export dtype references
* Fix memory leaks found using valgrind
* Lazy load f2py test utilities
* use BUFFERSIZE=20 in OpenBLAS
* fix reuses the previous values during the fallback...
* update link to website in FUNDING.yml
* Add BLD and STY to labeler prefixes.
* Simplify Hypothesis configuration
* Make like= argument added in NEP-35 strict
* Fix up links, code blocks of release note fragments
* Minor touchups in npyio
* Update mailmap.
* Set the ufunc and ndarray ops return type to ``Any``
* Update linalg.py
* Fix empty_like docstring
* Add missing release fragments to ``upcoming_changes``.
* Fix incorrectly passed size in masked processing
* Bump hypothesis from 5.41.2 to 5.41.3
* Add back durations flag for DEBUG builds.
* Fix subarray dtype used with too large count in fromfile
* Fix pickling of scalars with NPY_LISTPICKLE
* Update the `numpy.typing` documentation
* Fixing boilerplate code example
* Add ``__all__`` to `numpy.typing`
* Add release note for gh-16161.
* Fix incorrect C function prototypes/declarations.
* Prepare for the NumPy 1.20.x branch.
* use python-version not PYTHON_VERSION
* Fix buffer readflag errors and small leaks
* Prepare for 1.20.0 release
* Remove remaining uses of Python 3.6.
* use latest pypy37 not pypy36
* clean up a spurious warning in numpy/typing/setup.py
* Speed up default ``where`` in the reduce-like method
* remove stray '+' from f-string upgrade
* add support for fujitsu compiler to numpy.
* 'bool' object has no attribute 'ndim'
* Update release notes to mention ``type(dtype) is not np.dtype``
* Replace f-string in setup.py
* Ignore fewer errors during array-coercion
* Fix a MacOS build failure
* Fix crosstalk issues with polynomial str tests.
* Ensure tests are not sensitive to execution order
* update to OpenBLAS 0.3.13
* Futurewarn on requiring __len__ on array-likes
* make a variable volatile to work around clang compiler bug
* add back sdist test run
* Fix concatenation when the output is "S" or "U"
* Fix detecting aarch64 on macOS
* Prepare for 1.20.0rc2 release.
* Generate the main dispatcher config header into the...
* Fix _simd module build for 64bit ARM/NEON clang
* Update 1.20.x after 1.19.5 release.
* Fix promotion of half and string
* improve avx512 mask logical operations
* Promotion between strings and objects was assymetric
* Use explicit reexports for numpy.typing objects
* Keep ignoring most errors during array-protocol lookup
* warn on unrecognized objects, fix empty...
* update OpenBLAS to af2b0d02
* Clarify the type alias deprecation message
* Ensure too many advanced indices raises an exception
* add an 'apt update'
* Prepare for the NumPy 1.20.0 release.
The patch to system_info.py got upstreamed in a modified form which is
now backported here. On updating to 1.21, it shall be dropped.
In the process of upstreaming the patch, I learned that numpy really
needs to use cblas for proper acceleration, so it does that now and
gets a PKGREVISION bump because of that.
This introduces a 'generic' variant for blas_opt_info() and
lapack_opt_info() that looks into BLAS_LIBS and LAPACK_LIBS. The
others stay alive, and you can choose via NPY_BLAS_ORDER and
NPY_LAPACK_ORDER.
Will post this upstream … hoping for the best.
Other projects seem just to abuse the [openblas] entry in
site.cfg, or whatever hacks to trick this into building with
a generic BLAS. One hurdle is that using openblas seems to
assume that CBLAS is present in there, which it is not in pkgsrc.
We could think about introducing some alternatives stuff that uses
stubs for all the related libs anyway, but that is not my application,
which builds things from source. For binary packages, it would be
interesting, though. See Debian and Genoot for prior art on that.
The downstream configure code freaked out when info['define_macros'] was not set.
It is now defined and empty.
I hope it's fine to just push this without further notice.
Build was confirmed by oster on NetBSD-9.1/amd64 and tested by me
on Linux/amd64.
The previous state included our BLAS choice but the build
did not honour the selected libs. This patches the config
script to not search for LAPACK and BLAS, using our settings
instead. Hopefull we can get that option upstreamed.
Approved during freeze by wiz.
1.19.5:
BUG: Fix segfault due to out of bound pointer in floatstatus...
BUG: fix np.timedelta64('nat').__format__ throwing an exception
BUG: Fixed file handle leak in array_tofile.
BUG: Raise recursion error during dimension discovery
BUG: Fix subarray dtype used with too large count in fromfile
BUG: 'bool' object has no attribute 'ndim'
BUG: ensure _UFuncNoLoopError can be pickled
BLD: use BUFFERSIZE=20 in OpenBLAS
BLD: update to OpenBLAS 0.3.13
BUG: make a variable volatile to work around clang compiler bug
REL: Prepare for the NumPy 1.19.5 release.
1.19.4:
MAINT: Add check for Windows 10 version 2004 bug.
REV: Revert OpenBLAS to 1.19.2 version for 1.19.4
1.19.3:
BLD: set upper versions for build dependencies
BUG: Set deprecated fields to null in PyArray_InitArrFuncs
ENH: Warn on unsupported Python 3.10+
MAINT: Update test_requirements.txt.
ENH: Support for the NVIDIA HPC SDK nvfortran compiler
BUG: Cygwin Workaround for #14787 on affected platforms
BUG: Fix memory leak of buffer-info cache due to relaxed strides
MAINT: Backport openblas_support from master.
TST: Add Python 3.9 to the CI testing on Windows, Mac.
TST: Simplify source path names in test_extending.
Install the new interchangeable BLAS system created by Thomas Orgis,
currently supporting Netlib BLAS/LAPACK, OpenBLAS, cblas, lapacke, and
Apple's Accelerate.framework. This system allows the user to select any
BLAS implementation without modifying packages or using package options, by
setting PKGSRC_BLAS_TYPES in mk.conf. See mk/blas.buildlink3.mk for details.
This commit should not alter behavior of existing packages as the system
defaults to Netlib BLAS/LAPACK, which until now has been the only supported
implementation.
Details:
Add new mk/blas.buildlink3.mk for inclusion in dependent packages
Install compatible Netlib math/blas and math/lapack packages
Update math/blas and math/lapack MAINTAINER approved by adam@
OpenBLAS, cblas, and lapacke will follow in separate commits
Update direct dependents to use mk/blas.buildlink3.mk
Perform recursive revbump
1.19.2:
TST: Change aarch64 to arm64 in travis.yml.
MAINT: Configure hypothesis in ``np.test()`` for determinism,...
BLD: pin setuptools < 49.2.0
ENH: Add NumPy declarations to be used by Cython 3.0+
BUG: Remove non-threadsafe sigint handling from fft calculation
BUG: core: fix ilp64 blas dot/vdot/... for strides > int32 max
DOC: Use SPDX license expressions with correct license
DOC: Fix the link to the quick-start in the old API functions
BUG: fix pickling of arrays larger than 2GiB
1.19.1
* MAINT, CI: disable Shippable cache
* MAINT: Replace `PyUString_GET_SIZE` with `PyUnicode_GetLength`.
* REL: Fix outdated docs link
* BUG: raise IEEE exception on AIX
* BUG: Fix bug in AVX complex absolute while processing array of...
* TST: Add extra debugging information to CPU features detection
* BLD: Add CPU entry for Emscripten / WebAssembly
* TST: Disable Python 3.9-dev testing.
* MAINT: Disable use_hugepages in case of ValueError
* BUG: Fix PyArray_SearchSorted signature.
* MAINT: Fixes for deprecated functions in scalartypes.c.src
* MAINT: Remove unneeded call to PyUnicode_READY
* MAINT: Fix deprecated functions in scalarapi.c
* BLD, ENH: Add RPATH support for AIX
* BUG: Fix default fallback in genfromtxt
* BUG: Added missing return after raising error in methods.c
* BLD: update cython to 0.29.21
* MAINT: setuptools 49.2.0 emits a warning, avoid it
* BUG: Validate output size in bin- and multinomial
* BLD, MAINT: Pin setuptools
* DOC: Reconstruct Testing Guideline.
* TST, BUG: Re-raise MemoryError exception in test_large_zip's...
* BUG,DOC: Fix bad MPL kwarg.
* BUG: Fix string/bytes to complex assignment
* REL: Prepare for NumPy 1.19.1 release
1.19.0
* ENH: add identity kwarg to frompyfunc
* TST: check exception details in refguide_check.py
* ENH: improve runtime detection of CPU features
* TST: Add assert_array_equal test for big integer arrays.
* MAINT: Remove unnecessary 'from __future__ import ...' statements
* MAINT: Fix typos and copy edit NEP-0030.
* DOC: NumPy for absolute beginners tutorial
* NEP: Proposal for array creation dispatching with `__array_function__`
* ENH: Use AVX-512F for np.maximum and np.minimum
* BUG: Fix numpy.random.dirichlet returns NaN for small 'alpha'...
* API: Use `ResultType` in `PyArray_ConvertToCommonType`
* MAINT,API: ignore and NULL fasttake/fastputmask ArrFuncs slots
* BUG: Make ``ediff1d`` kwarg casting consistent
* DOC: linalg: Include information about scipy.linalg.
* BUG: Use ``__array__`` during dimension discovery
* MAINT: cleanup compat.py3k.py
* ENH: f2py: improve error messages
* [DOC] LaTeX: fix preamble (closes 15026)
* BUG: add endfunction, endsubroutine to valid fortran end words
* TST: Add test for object method (and general unary) loops
* REL: Update master after 1.18.x branch.
* DOC: Update HOWTO_RELEASE.rst.txt
* API, DOC: change names to multivariate_hypergeometric, improve...
* DOC: Fix statement about norms
* MAINT: follow-up cleanup for blas64 PR
* DOC: add docstrings to refguide-check
* Revert "DEP: issue deprecation warning when creating ragged array...
* ENH: add support for ILP64 OpenBLAS (without symbol suffix)
* DOC: correct version for NaT sort
* TST: Check requires_memory immediately before the test
* MAINT: core: Fix a very long line in the ufunc docstrings.
* BUG: test, fix flexible dtype conversion on class with __array__
* TST: add value to pytest.ini for pytest6 compatibility
* MAINT: Ragged cleanup
* DOC: bring the out parameter docstring into line with ufuncs
* ENH: f2py: add --f2cmap option for specifying the name of .f2py_f2cmap
* TST: add BLAS ILP64 run in Travis & Azure
* MAINT: Fix expm1 instability for small complex numbers.
* MAINT: random: Remove a few unused imports from test files.
* MAINT: Bump pytest from 5.3.1 to 5.3.2
* API: remove undocumented use of __array__(dtype, context)
* MAINT,CI: fix signed-unsigned comparison warning
* DOC: Update documentation of np.clip
* DOC: Remove reference to basic RNG
* MAINT: Fix randint 0d limits and other 0d cleanups
* DOC: Fix typos, via a Levenshtein-style corrector
* MAINT: CI: Clean up .travis.yml
* DOC: Correct choice signature
* DOC: Correct documentation in choice
* TST: shippable build efficiency
* BUG: ensure reduction output matches input along non-reduction...
* REL: Update master after NumPy 1.18.0 release.
* MAINT: Update pavement.py for towncrier.
* DOC: update cholesky docstring regarding input checking
* DOC: update documentation on how to build NumPy
* DOC: add moved modules to 1.18 release note
* MAINT: Update required cython version to 0.29.14.
* BUG: searchsorted: passing the keys as a keyword argument
* BUG: use tmp dir and check version for cython test
* TST: improve assert message of assert_array_max_ulp
* MAINT: unskip test on win32
* ENH: Add property-based tests using Hypothesis
* BUG: test, fix for c++ compilation
* DOC: Adding instructions for building documentation to developer...
* DOC: NEP 37: A dispatch protocol for NumPy-like modules
* MAINT: Do not use private Python function in testing
* DOC: Improvements to Quickstart Tutorial.
* BUG: distutils: fix msvc+gfortran openblas handling corner case
* BUG: lib: Fix handling of integer arrays by gradient.
* MAINT: lib: A little bit of clean up for the new year.
* REL: Update master after NumPy 1.16.6 and 1.17.5 releases.
* DEP: records: Deprecate treating shape=0 as shape=None
* ENH: build fallback lapack_lite with 64-bit integers on 64-bit...
* MAINT: linalg: use symbol suffix in fallback lapack_lite
* DOC: typo in release.rst
* NEP: universal SIMD NEP 38
* MAINT: Remove unused int_asbuffer
* MAINT: Cleaning up PY_MAJOR_VERSION/PY_VERSION_HEX
* MAINT: Clean up more PY_VERSION_HEX
* MAINT: Remove implicit inheritance from object class
* MAINT: only add --std=c99 where needed
* MAINT: Remove Python2 newbuffer getbuffer
* MAINT: Py3K array_as_buffer and gentype_as_buffer
* MAINT: Remove references to non-existent sys.exc_clear()
* DOC: Update HOWTO_RELEASE.rst
* MAINT: cleanup use of sys.exc_info
* MAINT: Eliminate some calls to `eval`
* MAINT: Improve const-correctness of shapes and strides
* DOC: clarify the effect of None parameters passed to ndarray.view
* MAINT: Improve const-correctness of string arguments
* MAINT: Delete numpy.distutils.compat
* MAINT: Implement keyword-only arguments as syntax
* MAINT: Remove FIXME comments introduced in the previous commit
* MAINT: Work with unicode strings in `dtype('i8,i8')`
* BUG: Use PyDict_GetItemWithError() instead of PyDict_GetItem()
* MAINT: Remove python2 array_{get,set}slice
* DOC: Add some missing functions in the list of available ufuncs.
* MAINT: Tidy PyArray_DescrConverter
* MAINT: remove duplicated if statements between DescrConverters
* BUG: Fix PyArray_DescrAlignConverter2 on tuples
* MAINT: Remove Python2 ndarray.__unicode__
* MAINT: Remove Python 2 divide
* MAINT: minor formatting fixups for NEP-37
* MAINT: Post NumPy 1.18.1 update.
* MAINT: travis-ci: Update CI scripts.
* BENCH: Add benchmark for small array coercions
* BUILD: use standard build of OpenBLAS for aarch64, ppc64le, s390x
* BENCH: Add basic benchmarks for take and putmask
* MAINT: Cleanup most PY3K #ifdef guards
* DOC: BLD: add empty release notes for 1.19.0 to fix doc build...
* MAINT: Use a simpler return convention for internal functions
* MAINT: Simplify np.int_ inheritance
* DOC" Update np.full docstring.
* MAINT: Express PyArray_DescrAlignConverter in terms of _convert_from_any
* MAINT: Push down declarations in _convert_from_*
* MAINT: C code simplifications
* BUG: Add missing error handling to _convert_from_list
* DOC: Added tutorial about linear algebra on multidimensional...
* MAINT: Refactor dtype conversion functions to be more similar
* DOC: Updating f2py docs to python 3 and fixing some typos
* MAINT: Remove NPY_PY3K constant
* MAINT: Remove sys.version checks in tests
* MAINT: cleanup sys.version dependant code
* MAINT: Ensure `_convert_from_*` functions set errors
* MAINT: Avoid escaping unicode in error messages
* MAINT: Change file extension of ma README to rst.
* BUG: fix NameError in clip nan propagation tests
* NEP: document reimplementation of NEP 34
* MAINT: fix typos
* TST: move pypy CI to ubuntu 18.04
* TST: move _no_tracing to testing._private, remove testing.support
* BUG: Add some missing C error handling
* MAINT: Remove sys.version checks
* DEP: Deprecate `->f->fastclip` at registration time
* DOC: document site.cfg.example
* MAINT: Fix mistype in histogramdd docstring
* DOC, BLD: reword release note, upgrade sphinx version
* MAINT: Remove unnecessary calls to PyArray_DATA from binomial...
* MAINT: Bump pytest from 5.3.2 to 5.3.3
* MAINT: Remove six
* MAINT: Revise imports from collections.abc module
* MAINT: remove internal functions required to handle Python2/3...
* MAINT: Remove other uses of six module
* MAINT: resolve pyflake F403 'from module import *' used
* MAINT: Update tox for supported Python versions
* MAINT: simd: Avoid signed comparison warning
* DOC: Updating Chararry Buffer datatypes
* TST: Simplify unicode test
* MAINT: Use `with open` when possible
* MAINT: Cleanup python2 references
* MAINT: Python2 Cleanups
* DEP: add PendingDeprecation to matlib.py funky namespace
* BUG, MAINT: Stop using the error-prone deprecated Py_UNICODE...
* MAINT: clean up some macros in scalarapi.c
* MAINT/BUG: Fixups to scalar base classes
* BUG: np.load does not handle empty array with an empty descr
* MAINT: Revise imports from urllib modules
* MAINT: Remove Python3 DeprecationWarning from pytest.ini
* MAINT: cleanup _pytesttester.py
* BUG: Flags should not contain spaces
* MAINT: Clean up, mostly unused imports.
* BUG/TEST: core: Fix an undefined name in a test.
* MAINT: Replace basestring with str.
* ENH: Use AVX-512F for complex number arithmetic, absolute, square...
* MAINT: Remove Python2 workarounds
* MAINT: Cleanup references to python2
* MAINT, DOC: Remove use of old Python __builtin__, now known as...
* ENH: Make use of ExitStack in npyio.py
* MAINT: Inline gentype_getreadbuf
* MAINT: Use f-strings for clarity.
* DEP: Schedule unused C-API functions for removal/disabling
* DOC: Improve ndarray.ctypes example
* DOC: distutils: Add a docstring to show_config().
* MAINT: Use contextmanager in _run_doctests
* MAINT: Updated polynomial to use fstrings
* DOC: Fix Incorrect document in Beginner Docs
* MAINT: Update core.py with fstrings (issue 15420)
* DOC: fix docstrings so `python tools/refguide-check --rst <file>...
* MAINT: Tidy macros in scalar_new
* MAINT: use 'yield from <expr>' for simple cases
* MAINT: Bump pytest from 5.3.3 to 5.3.4
* BUG: Reject nonsense arguments to scalar constructors
* DOC: Update refguide_check note on how to skip code
* MAINT: Simplify `np.object_.__new__`
* STY,MAINT: avoid 'multiple imports on one line'
* MAINT: Cleanup duplicate line in refguide_check
* MAINT: cleanup unused imports; avoid redefinition of imports
* BUG: Fix for SVD not always sorted with hermitian=True
* MAINT: Simplify scalar __new__ some more
* MAINT: Eliminate messy _WORK macro
* update result of rng.random(3) to current rng output
* DOC: Correct get_state doc
* MAINT: Use `.identifier = val` to fill type structs
* [DOC] Mention behaviour of np.squeeze with one element
* ENH: fixing generic error messages to be more specific in multiarray/descriptor.c
* BUG: Fixing result of np quantile edge case
* TST: mark the top 3 slowest tests to save ~10 seconds
* MAINT: Bump pytest from 5.3.4 to 5.3.5
* MAINT: Use True/False instead of 1/0 in np.dtype.__reduce__
* MAINT: Do not allow `copyswap` and friends to fail silently
* DOC: Remove duplicated code in true_divide docstring
* NEP 40: Informational NEP about current DTypes
* DOC: Update unique docstring example
* MAINT: Large overhead in some random functions
* TST: Fix missing output in refguide-check
* MAINT: Simplify arraydescr_richcompare
* MAINT: Fix internal misuses of `NPY_TITLE_KEY`
* DOC: Update instructions for building/archiving docs.
* BUG: Fix inline assembly that detects cpu features on x86(32bit)
* update doctests, small bugs and changes of repr
* DEP: Do not allow "abstract" dtype conversion/creation
* DOC: Minor copyediting on NEP 37.
* MAINT: Extract repeated code to a helper function
* NEP: edit and move NEP 38 to accepted status
* MAINT: Refresh Doxyfile and modernize numpyfilter.py
* TST: Accuracy test float32 sin/cos/exp/log for AVX platforms
* DOC: Improve the `numpy.linalg.eig` docstring.
* NEP 44 - Restructuring the NumPy Documentation
* TST: (Travis CI) Use full python3-dbg path for virtual env creation
* BUG, DOC: restore missing import
* DOC: Removing bad practices from quick start + some PEP8
* TST: Do not create symbolic link named gfortran.
* DOC: Document caveat in random.uniform
* DOC: numpy.clip is equivalent to minimum(..., maximum(...))
* MAINT: Bump cython from 0.29.14 to 0.29.15
* MAINT: Bump hypothesis from 5.3.0 to 5.5.4
* BLD: manylinux2010 docker reports machine=i686
* BUG: Ignore differences in NAN for computing ULP differences
* TST: use manylinux2010 docker instead of ubuntu
* TST: mask DeprecationWarning in xfailed test
* BUG: Fix bug in AVX-512F np.maximum and np.minimum
* BUG: Remove check requiring natural alignment of float/double...
* DOC: Add missing imports, definitions and dummy file
* DOC: Fix documentation for apply_along_axis
* DOC: fix printing, np., deprecation for refguide
* MAINT: Pull identical line out of conditional.
* DOC: remove broken link in f2py tutorial
* BLD: update openblas download to new location, use manylinux2010-base
* MAINT: AVX512 implementation with intrinsic for float64 input...
* BLD: update OpenBLAS to pre-0.3.9 version
* DOC: Refactor `np.polynomial` docs using `automodule`
* BUG: fix doctest exception messages
* MAINT: Added comment pointing FIXME to relevant PR.
* DOC: Make extension module wording more clear
* DOC: Improve np.finfo docs
* DOC: Improve Benchmark README with environment setup and more...
* MAINT: Bump hypothesis from 5.5.4 to 5.6.0
* NEP: move NEP 44 to accepted status
* DOC: Fix indexing docs to pass refguide
* MAINT: Test during import to detect bugs with Accelerate(MacOS)...
* MAINT: Add a fast path to var for complex input
* MAINT: Convert shebang from python to python3
* MAINT: replace optparse with argparse for 'doc' and 'tools' scripts
* DOC: Fix quickstart doc to pass refguide
* MAINT: Fixing typos in f2py comments and code.
* DOC: fix SVD tutorial to pass refguide
* MAINT: use list-based APIs to call subprocesses
* ENH: update numpy.linalg.multi_dot to accept an `out` argument
* TST: always use 'python -mpip' not 'pip'
* DOC: update datetime reference to pass refguide
* DOC: Fix coremath.rst to fix refguide_check
* DOC: fix remaining doc files for refguide_check
* BUG: fix logic error when nm fails on 32-bit
* TST: Remove nose from the test_requirements.txt file.
* DOC: Allow NEPs to link to python, numpy, scipy, and matplotlib...
* BUG: Guarantee array is in valid state after memory error occurs...
* MAINT: Remove non-native byte order from _var check.
* MAINT: Add better error handling in linalg.norm for vectors and...
* MAINT: doc: Remove doc/summarize.py
* BUG: lib: Handle axes with length 0 in np.unique.
* DOC: document inconsistency between the shape of data and mask...
* BUG, TST: fix f2py for PyPy, skip one test for PyPy
* MAINT: Fix swig tests issue
* MAINT: CI: Add an explicit 'pr' section to azure-pipelines.yml
* MAINT: Bump pytest from 5.3.5 to 5.4.1
* BUG,MAINT: Remove incorrect special case in string to number...
* REL: Update master after 1.18.2 release.
* ENH: Allow toggling madvise hugepage and fix default
* DOC: Fix runtests example in developer docs
* DEP: Make issubdtype consistent for types and dtypes
* MAINT: remove useless `global` statements
* BLD: Add requirements.txt file for building docs
* BUG: don't add 'public' or 'private' if the other one exists
* ENH: Use TypeError in `np.array` for python consistency
* BUG: Add basic __format__ for masked element to fix incorrect...
* TST: Add unit test for out=None of np.einsum
* MAINT: Cleanups to np.insert and np.delete
* BUG: Add error-checking versions of strided casts.
* DEP: Make `np.insert` and `np.delete` on 0d arrays with an axis...
* DOC: correct possible list lengths for `extobj` in ufunc calls
* DEP: Make np.delete on out-of-bounds indices an error
* DEP: Forbid passing non-integral index arrays to `insert` and...
* TST: Parametrize sort test
* TST: switch PyPy job with CPython
* TST: Remove code that is not supposed to warn out of warning...
* DEP: Do not cast boolean indices to integers in np.delete
* MAINT: simplify code that assumes str/unicode and int/long are...
* MAINT: pathlib and hashlib are in stdlib in Python 3.5+
* ENH: improved error message `IndexError: too many indices for...
* BUG: Fix IndexError for illegal axis in np.mean
* DOC: Minor fix to _hist_bin_fd documentation
* BUG,DEP: Make `scalar.__round__()` behave like pythons round
* DOC: First steps towards docs restructuring (NEP 44)
* DOC, TST: enable refguide_check in circleci
* DOC: fix typo in C-API reference
* DOC: Fix docstring for _hist_bin_auto.
* MAINT: Bump cython from 0.29.15 to 0.29.16
* DEP: Deprecate ndarray.tostring()
* TST: use draft OpenBLAS build
* BUG: Fix eigh and cholesky methods of numpy.random.multivariate_normal
* BUG: Check that `pvals` is 1D in `_generator.multinomial`.
* DOC: Add missing signature from nditer docstring
* BUG: Fix empty_like to respect shape=()
* BUG: Do not ignore empty tuple of strides in ndarray.__new__
* MAINT: Remove duplicated code in iotools.py
* BUG: Setting a 0d array's strides to themselves should be legal
* BUG: Respect itershape=() in nditer
* MAINT: Clean-up 'next = __next__' used for Python 2 compatibility
* TST: Run test_large_zip in a child process
* DOC: Add missing doc of numpy.ma.apply_over_axes in API list.
* DOC: Improve record module documentation
* DOC: Fixed order of items and link to mailing list in dev docs...
* BLD: report clang version on macOS
* MAINT: records: Remove private `format_parser._descr` attribute
* BUG: random: Disallow p=0 in negative_binomial
* ENH: Use sysconfig instead of probing Makefile
* DOC: Update np.copy docstring to include ragged case
* DOC: Correct private function name to PyArray_AdaptFlexibleDType
* MAINT: Fix capitalization in error message in `mtrand.pyx`
* DOC: Update np.rollaxis docstring
* BUG: fix AttributeError on accessing object in nested MaskedArray.
* BUG: Alpha parameter must be 1D in `generator.dirichlet`
* NEP: minor maintenance, update filename and fix a cross-reference
* MAINT: Bump hypothesis from 5.8.0 to 5.8.3
* TST: Add slow_pypy support
* DOC: Added note to angle function docstring about angle(0) being...
* MAINT/BUG: Cleanup and minor fixes to conform_reduce_result
* BUG: Avoid duplication in stack trace of `linspace(a, b, num=1.5)`
* BUG: Fix inf and NaN-warnings in half float `nextafter`
* MAINT: Remove 0d check for PyArray_ISONESEGMENT
* DEV: Pass additional runtests.py args to ASV
* DOC: Fix method documentation of function sort in MaskedArray
* NEP: Improve Value Based Casting paragraph in NEP 40
* DOC: add note on flatten ordering in matlab page
* TST: Add tests for the conversion utilities
* BUG: Unify handling of string enum converters
* MAINT: Replace npyiter_order_converter with PyArray_OrderConverter
* BUG: Fix lexsort axis check
* DOC: Clarify single-segment arrays in np reference
* DOC: Change import error "howto" to link to new troubleshooting...
* DOC: update first section of NEP 37 (``__array_function__`` downsides)
* REL: Update master after 1.18.3 release.
* MAINT: Bump hypothesis from 5.8.3 to 5.10.1
* DOC: initialise random number generator before first use in quickstart
* ENH: Fix exception causes in build_clib.py
* MAINT,TST: Move _repr_latex tests to test_printing.
* BUG: missing 'f' prefix for fstring
* ENH: Fix exception causes in build_ext.py
* DOC: Small typo fixes to NEP 40.
* DOC, BLD: update release howto and walkthrough for ananconda.org...
* ENH: Chained exceptions in linalg.py and polyutils.py
* MAINT: Chain exceptions in several places.
* MAINT: Chain exceptions in memmap.py and core.py
* BUG: Fix string to bool cast regression
* DOC: Added page describing how to contribute to the docs team
* DOC: add a note on sampling 2-D arrays to random.choice docstring
* BUG: random: Generator.integers(2**32) always returned 0.
* BLD: fix path to libgfortran on macOS
* DOC: Add axis to random module "new or different" docs
* DOC,BLD: Limit timeit iterations in random docs.
* DOC: add note on type casting to numpy.left_shift().
* DOC: improve development debugging doc
* DOC: tweak neps/scope.rst
* MAINT: Bump cython from 0.29.16 to 0.29.17
* MAINT: Bump hypothesis from 5.10.1 to 5.10.4
* TST: use latest released PyPy instead of nightly builds
* MAINT, DOC: Improve grammar on a comment in the quickstart
* NEP 41: Accept NEP 41 and add DType<->scalar duplication paragraph
* BLD: put openblas library in local directory on windows
* MAINT: Fix random.PCG64 signature
* DOC: Move misplaced news fragment for gh-13421
* DOC: Fix links for NEP 40 in NEP 41
* BUG: lib: Fix a problem with vectorize with default parameters.
* ENH: Better error message when ``bins`` has float value in ``histogramdd``.
* MAINT: Unify casting error creation (outside the iterator)
* BENCH: Default to building HEAD instead of master
* REL: Update master after NumPy 1.18.4 release
* DOC: Add VSCode help link to importerror troubleshooting
* CI: pin 32-bit manylinux2010 image tag
* MAINT: Bump pytz from 2019.3 to 2020.1
* BUG: Correct loop order in MT19937 jump
* CI: unpin 32-bit manylinux2010 image tag
* BUG: add missing numpy/__init__.pxd to the wheel
* BUG:Umath remove unnecessary include of simd.inc in fast_loop_macro.h
* DOC,BLD: Add :doc: to whitelisted roles in refguide_check.
* ENH: resync numpy/__init__.pxd with upstream
* ENH: allow choosing which manylinux artifact to download
* MAINT: Mark tests as a subpackage rather than data.
* Update Docs : point users of np.outer to np.multiply.outer
* DOC: Fix link to numpy docs in README.
* ENH: Allow pickle with protocol 5 when higher is requested
* MAINT: cleanups to _iotools.StringConverter
* DOC: Unify cross-references between array joining methods
* DOC: Improve docstring of ``numpy.core.records``
* DOC: update Code of Conduct committee
* MAINT: Bump hypothesis from 5.10.4 to 5.12.0
* MAINT: Bump pytest from 5.4.1 to 5.4.2
* DOC: warn about runtime of shares_memory
* ENH: backport scipy changes to openblas download script
* BUG: skip complex256 arcsinh precision test on glibc2.17
* MAINT: Chain exceptions and use NameError in np.bmat
* DOC,BLD: pin sphinx to <3.0 in doc_requirements.txt
* BUG: fix signature of PyArray_SearchSorted in __init__.pxd
* ENH: add manylinux1 openblas hashes
* DOC: Fix Generator.choice docstring
* DOC: Add PyDev instructions to troubleshooting doc
* DOC: Add Clang and MSVC to supported compilers list
* DOC: Warn about behavior of ptp with signed integers.
* DOC: Update the f2py section of the "Using Python as Glue" page.
* BUG: Add missing decref in fromarray error path
* ENH: Add tool for downloading release wheels from Anaconda.
* DOC: Fix typos and cosmetic issues
* REL: Prepare for the 1.19.0 release
* BUG: Fix tools/download-wheels.py.
* BUG: Require Python >= 3.6 in setup.py
* BUG: relpath fails for different drives on windows
* DOC: Fix documentation rendering,
* BUG: Don't segfault on bad __len__ when assigning. (gh-16327)
* MAINT: Stop Using PyEval_Call* and simplify some uses
* BLD: Avoid "visibility attribute not supported" warning.
* BUG: Allow attaching documentation twice in add_docstring
* MAINT: Remove f-strings in setup.py. (gh-16346)
* BUG: Indentation for docstrings
* BUG: Fix dtype leak in `PyArray_FromAny` error path
* ENH: Optimize Cpu feature detect in X86, fix for GCC on macOS...
* MAINT: core: Use a raw string for the fromstring docstring.
* MAINT: Make ctypes optional on Windows
* BUG: Fix small leaks in error path and ``empty_like`` with shape
* TST, MAINT: Fix detecting and testing armhf features
* DOC,BLD: Update sphinx conf to use xelatex.
* DOC,BLD: Update make dist html target.
* MAINT, DOC: add index for user docs.
* MAINT: support python 3.10
* DOC: Fix troubleshooting code snippet when env vars are empty
* REL: Prepare for the NumPy 1.19.0rc2 release.
* MAINT:ARMHF Fix detecting feature groups NEON_HALF and NEON_VFPV4
* BUG:random: Error when ``size`` is smaller than broadcast input...
* BUG: fix GCC 10 major version comparison
* BUG: Ensure SeedSequence 0-padding does not collide with spawn...
* BUG: fix sin/cos bug when input is strided array
* MAINT: Move and improve ``test_ignore_nan_ulperror``.
* REL: Update 1.19.0-changelog.rst for 1.19.0 release.
1.18.4:
BLD: add i686 for 1.18 builds
BUG: random: ``Generator.integers(2**32)`` always returned 0.
BLD: fix path to libgfortran on macOS
REV: Reverts side-effect changes to casting
BLD: put openblas library in local directory on windows
DOC: Change import error "howto" to link to new troubleshooting...
1.18.3:
BUG: Fix eigh and cholesky methods of numpy.random.multivariate_normalBUG,MAINT: Remove incorrect special case in string to number...
BUG: Guarantee array is in valid state after memory error occurs...
BUG: Check that `pvals` is 1D in `_generator.multinomial`.
BUG: Alpha parameter must be 1D in `generator.dirichlet`
1.18.2:
TST: move _no_tracing to testing._private
MAINT: Large overhead in some random functions
TST: Do not create gfortran link in azure Mac testing.
BUG: Added missing error check in `ndarray.__contains__`
MAINT: use list-based APIs to call subprocesses
REL: Prepare for 1.18.2 release.
BUG: fix logic error when nm fails on 32-bit
1.18.1:
MAINT: Update pavement.py for towncrier.
DOC: add moved modules to 1.18 release note
MAINT, DOC: Minor backports and updates for 1.18.x
TST: Add assert_array_equal test for big integer arrays
BUG: use tmp dir and check version for cython test
BUG: distutils: fix msvc+gfortran openblas handling corner case
BUG: remove -std=c99 for c++ compilation
MAINT: unskip test on win32
TST: add BLAS ILP64 run in Travis & Azure
MAINT: only add --std=c99 where needed
BUG: lib: Fix handling of integer arrays by gradient.
MAINT: Do not use private Python function in testing
REL: Prepare for the NumPy 1.18.1 release.
1.18.0:
DOC: added note to docstring of numpy.savez
BUG: Numpy scalar types sometimes have the same name
DOC: Improve axes shift description and example in np.tensordot
MAINT: avoid relying on `np.generic.__name__` in `np.dtype.name`
ENH: supply our version of numpy.pxd, requires cython>=0.29
BUG: General fixes to f2py reference counts (dereferencing)
BUG: NaT now sorts to ends of arrays
DOC: Updates to nditer usage instructions
BUG: Do not crash on recursive `.dtype` attribute lookup.
ENH: Use AVX for float32 implementation of np.sin & np.cos
DEP: Deprecate silent ignoring of bad data in fromfile/fromstring
ENH: Always produce a consistent shape in the result of `argwhere`
DOC: array(obj, dtype=dt) can downcast
DOC: Document ma.filled behavior with non-scalar fill_value
DOC: Add note to irfft-like functions about the default sizes
BUG: Don't produce undefined behavior for a << b if b >= bitsof(a)
MAINT: Update NEP template.
ENH: random: Add the multivariate hypergeometric distribution.
DOC: Fix unrendered links
MAINT: Rewrite Floyd algorithm
DOC: Add missing macros to C-API documentation
ENH: Add axis argument to random.permutation and random.shuffle
DOC: Adds documentation of functions exposed in numpy namespace
BUG: Refcount fixes
MAINT: Ensure array_dealloc does not modify refcount of self
MAINT: Prepare master for 1.18.0 development.
MAINT,BUG,DOC: Fix errors in _add_newdocs
MAINT: Remove an unnessary backslash between two string literals
MAINT: Update pavement to use python3 in shell commands.
MAINT: Remove unnecessary backslashes (and replace others by...
MAINT: Replace integers in places where booleans are expected
DOC: Add missing parameter description for keepdims in MaskedArray
ENH: use AVX for float32 and float64 implementation of sqrt,...
DOC: reformat top-level release index
DOC : Refactor Array API documentation -- Array Structure and...
DOC: Fix typo in "make_mask" documentation
MAINT: Delete unused _aliased_types.py
BLD: Remove Trusty dist in Travis CI build
BUG: Handle weird bytestrings in dtype()
ENH: use towncrier to build the release note
ENH: improve error message for ragged-array creation failure
DOC: Update the description of byteswap
BUG: i0 Bessel function regression on array-likes supporting...
ENH, BUILD: refactor all OpenBLAS downloads into a single, testable...
MAINT: Remove unnecessary parenthesis in numpy.ma.core
MAINT: Fix wrong spelling of ufunc
DOC: Remove explicit .next method calls with built-in next function...
DOC: Don't override MaskedArray.view documentation with the one...
BUG: Fix incorrect GIL release in array.nonzero
MAINT: Warn if `_add_newdocs.py` is used to add docstrings to...
MAINT: Revert 13876, "MAINT,BUG,DOC: Fix errors in _add_newdocs"
MAINT,BUG,DOC: Fix errors in _add_newdocs
DOC, MAINT: emphasize random API changes, remove Generator.randint
DOC: Add a numpy-doc docstring to add_newdoc
DOC: Fix rst rendering in data types
DOC:Update the description of set_printoptions in quickstart...
Fixing failure on Python 2.7 on Windows 7
Fix a typo related to the range of indices
DOC: add space between words across lines
BUG, DOC: add new recfunctions to `__all__`
DOC: Change (old) range() to np.arange()
DOC: improve np.sort docstring
DOC: spellcheck numpy/doc/broadcasting.py
MAINT, TST: remove test-installed-numpy.py
DOC: Document array_function at a higher level.
DOC: show workaround for backward compatibility
DOC: Add a call for contribution paragraph to the readme
BUG: Missing warnings import in polyutils
BUILD: adapt "make version-check" to "make dist"
DOC: emphasize need for matching numpy, git versions
TST, MAINT, BUG: expand OpenBLAS version checking
ENH: Chain exception for typed item assignment
MAINT: Fix spelling error in npy_tempita kwarg
DOC: Array API : Directory restructure and code cleanup
[DOC] Remove unused/deprecated functions
Update system_info.py
DOC:Link between the two indexing documentation pages
DOC: Update NumFOCUS subcommittee replacing Nathaniel with Sebastian
DOC: update "Contributing to NumPy" with more activities/roles
DOC: Improve quickstart documentation of new random Generator
DEP: Speed up WarnOnWrite deprecation in buffer interface
NEP: numpy.org website redesign
DOC: Fix docstring of numpy.allclose regarding NaNs
DEP: Raise warnings for deprecated functions PyArray_As1D, PyArray_As2D
DEP: Remove np.rank which has been deprecated for more than 5...
BUG, TEST: Adding validation test suite to validate float32 exp
ENH,DEP: Allow multiple axes in expand_dims
ENH: add pyproject.toml
DOC: Update cversions.py links and wording
DOC, BUILD: cleanups and fix (again) 'make dist'
BUG: Fix file-like object check when saving arrays
DOC: Resolve bad references in Sphinx warnings
MAINT: bump ARMv8 / POWER8 OpenBLAS in CI
DOC: Emphasize the need to run tests when building from source
DOC:Add example to clarify "numpy.save" behavior on already open...
DEP: Deprecate full and economic modes for linalg.qr
DOC: Doc release
BUG: fix build issue on icc 2016
TST: Add 3.8-dev to travisCI testing.
DOC: Add blank line above doctest for intersect1d
ENH: Propose standard policy for dropping support of old Python...
DOC: Use `pip install .` where possible instead of calling setup.py
MAINT: adjustments to test_ufunc_noncontigous
MAINT: Improve NEP template
DOC: fix documentation of i and j for tri.
MAINT: Lazy import testing on python >=3.7
DEP: Deprecate PyArray_FromDimsAndDataAndDescr, PyArray_FromDims
MAINT: Clearer error message while padding with stat_length=0
MAINT: remove duplicate variable assignments
BUG: initialize variable that is passed by pointer
DOC: fix typo in c-api/array.rst doc
BUG: Add gcd/lcm definitions to npy_math.h
MAINT: Mark umath accuracy test xfail.
MAINT: Use equality instead of identity check with literal
MAINT: Fix small typo in quickstart docs
DOC, MAINT: Update master after 1.17.0 release.
ENH: add c-imported modules for freeze analysis in np.random
BUG: Fix DeprecationWarning in python 3.8
BUG: Remove stray print that causes a SystemError on python 3.7...
BUG: Remove the broken clip wrapper
BUG: avx2_scalef_ps must be static
TST: Allow fuss in testing strided/non-strided exp/log loops
NEP: Proposal for __duckarray__ protocol
BUG: Make advanced indexing result on read-only subclass writeable
TST: Clean up of test_pocketfft.py
DEP: Deprecate np.alen
MAINT: Workaround for Intel compiler bug leading to failing test
DOC: Fix hermitian argument docs in `svd`
MAINT: Fix a docstring typo.
DOC: Fix links in `/.github/CONTRIBUTING.md`.
ENH: Multivariate normal speedups
MAINT: Improve mismatch message of np.testing.assert_array_equal
DOC,MAINT: Move towncrier files and fixup categories
BUG: Fixed default BitGenerator name
BUG: Fix uint-overflow if padding with linear_ramp and negative...
ENH: Enable huge pages in all Linux builds
BUG: Fix leak in the f2py-generated module init and `PyMem_Del`...
DOC: new nan_to_num keywords are from 1.17 onwards
TST: Add tests for deprecated C functions (PyArray_As1D, PyArray_As1D)
DOC: mention `take_along_axis` in `choose`
ENH: Parse complex number from string
DOC: update or remove outdated sourceforge links
MAINT: Better error message for norm
DOC: add backlinks to numpy.org
BUG: Don't fail when lexsorting some empty arrays.
BUG: Fix segfault in `random.permutation(x)` when x is a string.
Doc: fix a typo in NEP21
DOC: set status of NEP 28 (website redesign) to Accepted
BLD: MAINT: change default behavior of build flag appending.
BUG: Fixes StopIteration error from 'np.genfromtext' for empty...
BUG: fix inconsistent axes ordering for axis in function `unique`
DEP: Deprecate load/dump functions in favour of pickle methods
MAINT: Update NEP-30
DEP: Deprecate arrayprint formatting functions
DOC: remove scipy.org from the breadcrumb formattiong
BUG: Fix formatting error in exception message
DOC: Address typos in dispatch docs
BUG: Fix ZeroDivisionError for zero length arrays in pocketfft.
BUG: Fix misuse of .names and .fields in various places
TST, BUG: Use python3.6-dbg.
BUG: core: Handle large negative np.int64 args in binary_repr.
BUG: Fix numpy.random bug in platform detection
MAINT: random: Match type of SeedSequence.pool_size to DEFAULT_POOL_SIZE
Bug: Fix behavior of structured_to_unstructured on non-trivial...
DOC: add two commas, move one word
DOC: Clarify rules about broadcasting when empty arrays are involved.
TST, MAINT: bump to OpenBLAS 0.3.7 stable
DEP: numpy.testing.rand
DEP: Deprecate class `SafeEval`
BUG: revert detecting and raising error on ragged arrays
DOC: Improve documentation of `isscalar`.
MAINT: Fix bloated mismatch error percentage in array comparisons.
DOC: Fix a minor typo in dispatch documentation.
MAINT: Remove redundant deprecation checks
MAINT: polynomial: Add an N-d vander implementation used under...
DOC: clarify that PytestTester is non-public
DOC: support and require sphinx>=2.2
DOC: random: fix doc linking, was referencing private submodules.
MAINT: Fixes for prospective Python 3.10 and 4.0
DOC: lib: Add more explanation of the weighted average calculation.
MAINT: Avoid BytesWarning in PyArray_DescrConverter()
MAINT: Post NumPy 1.17.1 update.
DOC: Fixed dtype docs for var, nanvar.
DOC: Document project as Python 3 only with a trove classifier
BUILD: move all test dependencies to ./test_requirements.txt
BUG: lib: Fix histogram problem with signed integer arrays.
REL: Update master after NumPy 1.16.5 release.
BUG: test, fix regression in converting to ctypes
NEP: Add initial draft of NEP-31: Context-local and global overrides..
DOC: document numpy/doc update process
DOC: update np.around docstring with note about floating-point...
BUG: view with fieldless dtype should raise if itemsize != 0
DOC: fix issue with __new__ usage in subclassing doc.
DOC: Fix release notes table of contents
NEP 32: Remove the financial functions from NumPy
BLD: Update RELEASE_WALKTHROUGH and cythonize.
Bump pytest from 5.1.1 to 5.1.2
TST: Remove build job since we now use Dependabot
BLD: Only allow using Cython module when cythonizing.
TST: Add dependabot config file.
BUG: Fix format statement associated with AttributeError.
BUG: Fix aradixsort indirect indexing.
DOC: add the reference to 'printoptions'
BUG: Do not show Override module in private error classes.
DOC: Make implementation bullet points consistent in NEP 29
MAINT: Clarify policy language in NEP-29.
REL: Update master after 1.17.2 release.
MAINT: clean up pocketfft modules inside numpy.fft namespace
BLD: remove generated Cython files from sdist
MAINT: add test to prevent new public-looking modules being added
BUG: random.hypergeometic assumes npy_long is npy_int64, hangs...
ENH: Print the amount of memory that would be used by a failed...
MAINT: use test_requirements.txt in tox and shippable, ship it...
BUG: add a specialized loop for boolean matmul
BUG: Fix _ctypes class circular reference.
BUG: core: Fix the str function of the rational dtype.
DOC: add timedelta64 signature
MAINT: Extract raising of MemoryError to a helper function
BUG,MAINT: Some fixes and minor cleanup based on clang analysis
MAINT: Add `NPY_UNUSED` and `const` qualified suggested by clang
MAINT: Silence integer comparison build warnings in assert statements
MAINT: distutils: Add newline at the end of printed warnings.
BUG: random: Revert gh-14458 and refix gh-14557.
DOC: Fix reference NPY_ARRAY_OWNDATA instead of NPY_OWNDATA.
ENH: Allow NPY_PKG_CONFIG_PATH environment variable override
MAINT: remove the entropy c-extension module
DOC: Add backslashes so PyUFunc_FromFuncAndDataAndSignatureAndIdentity
DOC: Fix a minor typo in changelog readme
BUG: Fix randint when range is 2**32
DOC: tweak np.round docstring to clarify floating-point error
DOC: Add warning to NPV function
API: Do not return None from recfunctions.drop_fields
BUG: Fix flatten_dtype so that nested 0-field structs are flattened...
DOC: Build release notes during CircleCI step
BUILD: Hide platform configuration probe behind --debug-configure
Mention that split() returns views into the original array
MAINT: Simplify lookfor function
MAINT: random: Remove a few duplicated C function prototypes.
BUILD, MAINT: run tests with verbose for PyPY, also do not leak...
BUG: fix release snippet failures caught only after merging
BLD: add warn-error option, adds -Werror to compiler
BUG: random: Create a legacy implementation of random.binomial.
MAINT: remove unused functions, rearrange headers (from CC=clang)
DOC: Fix a bit of code in 'Beyond the Basics' C API user guide.
MAINT: Cleanup old_defines in DOC
DOC: Added missing versionadded to diff(prepend)
BUG: Avoid ctypes in Generators
Changing ImportWarning to DeprecationWarning
MAINT: handle case where GIT_VERSION is empty string
MAINT: core: Remove duplicated inner loop ee->e from log, exp,...
DOC: clarify input types in basics.io.genfromtxt.rst
DOC: remove note about Pocketfft license file (non-existing here).
DOC: Fix code that generates the table in the 'Casting Rules'...
MAINT: don't install partial numpy.random C/Cython API.
TST: ensure coercion tables aren't printed on failing public...
DEP: remove deprecated (and private) numpy.testing submodules.
BLD, DOC: fix gh-14518, add release note
BUG: importing build_src breaks setuptools monkeypatch for msvc14
DOC: Note runtests.py `-- -s` method to use pytests `-s`
DOC: update submodule docstrings, remove info.py files
DOC: Document the NPY_SCALARKIND values as C variables.
MAINT: Bump pytest from 5.1.2 to 5.1.3
DEP: remove deprecated select behaviour
BUG: Add missing check for 0-sized array in ravel_multi_index
BUG: dtype refcount cleanups
DOC: Fix a minor typo in changelog entry
MAINT: Fix typo: remoge → remove
DOC: Change the promotion table checkmark to 'Y'.
DEP: Complete deprecation of invalid array/memory order
DOC: Add to doc that interp cannot contain NaN
NEP: Accept NEP 32.
NEP: Fix discrepancies in NEPs
NEP: Only list "Active" NEPs under "Meta-NEPs"
API: restructure and document numpy.random C-API
BUG: properly define PyArray_DescrCheck{,Exact}
MAINT: Remove duplicate files from .gitignore
API: rearrange the cython files in numpy.random
MAINT: Bump pytest from 5.1.3 to 5.2.0
MAINT: Add "MAINT" tag to dependabot commit msg
DOC: Updated sphinx directive formatting
DEP: Finish deprecation of non-integer `num` in linspace
DOC: s/OR/AND/ in np.logical_and docstring
DOC: misleading np.sinc() documentation
DOC: clarify residual in np.polyfit
BUILD: change to build_src --verbose-cfg, runtests.py --debug-info
BUG: always free clean_sep
DOC: Create `class Extension` docstring and add it to documentation.
DOC: add `printoptions` as a context manager to `set_printoptions`
DOC: Fix typo in NEP 29
MAINT: Use scalar math power function directly
DOC: Add IPython to dependencies needed to build docs.
MAINT: Bump pytest-cov from 2.7.1 to 2.8.1
MAINT: Bump pytest from 5.2.0 to 5.2.1
MAINT: Bump pytz from 2019.2 to 2019.3
MAINT: Use `extract_unit` throughout datetime
BUG: fix fromfile behavior when reading sub-array dtypes
BUG: random: Use correct length when axis is given to shuffle.
BUG: Do not rely on undefined behaviour to cast from float to...
NEP: add default-dtype-object-deprecation nep 34
MAINT: Remove unused boolean negative/subtract loops
DEP: ufunc `out` argument must be a tuple for multiple outputs
BUG: Fix `np.einsum` errors on Power9 Linux and z/Linux
DOC: Note release notes process changes on devdocs start page
Doc warnings
DOC: Switch Markdown link to RST in NEP 29
TST: Divide Azure CI Pipelines into stages.
DEP: Finish the out kwarg deprecation for ufunc calls
DOC: Removing mentions of appveyor
BUG: Default start to 0 for timedelta arange
API: NaT (arg)min/max behavior
API: Forbid Q<->m safe casting
DEP: deprecate financial functions.
DOC: Move newsfragment to correct folder
DOC: cleaning up examples in maskedarray.generic
MAINT: umath: Change error message for unsupported bool subtraction.
ENH: Add complex number support for fromfile
TST: run refguide-check on rst files in doc/*
DOC: Edit NEP procedure for better discussion
DOC: Post 1.17.3 release update.
NEP: Accept NEP 29 as final
BUG: Don't narrow intp to int when producing error messages
DOC: lib: Fix deprecation markup in financial function docstrings.
DOC: Change from HTTP to HTTPS
BUG: clear only attribute errors in get_attr_string.h::maybe_get_attr
MAINT: doc: Remove doc/newdtype_example/
Reword cautionary note about dtype.descr
BUG: fix integer size confusion in handling array's ndmin argument
TST, BUILD: add a gcc 4.8 run on ubuntu 18.04
Update CLASSIFIERS with python 3.8 support
BUG: random: biased samples from integers() with 8 or 16 bit...
DOC: Add release note about changed random variate stream from...
DOC: Make changes to NEP procedure
DOC: random: Remove redundant 'See Also' entry in 'uniform' docstring.
MAINT: Minor typo fix
MAINT: Bump pytest from 5.2.1 to 5.2.2
DOC: Adjust NEP-31 to new template.
DEP: issue deprecation warning when creating ragged array (NEP...
NEP: move 'NEP 29 random' from Accepted to Final
DOC: Add take_along_axis to the see also section in argmin, argmax...
ENH: change object-array comparisons to prefer OO->O unfuncs
TST: Don't construct Fraction instances from numpy scalars
Rename helper functions to not use the word rank
MAINT: Use templating to merge float loops
BUILD: ignore more build.log warnings
BLD: Prevent -flto from optimising long double representation...
BUG: raise ValueError for empty arrays passed to _pyarray_correlate
MAINT: move buffer.h -> npy_buffer.h to avoid conflicts
MAINT: Bump cython from 0.29.13 to 0.29.14
ENH: add isinf, isnan, fmin, fmax loops for datetime64, timedelta64
BLD: add 'apt update' to shippable
MAINT: revert gh-14800, which gave precedence to OO->O over OO->?
REL: Update master after 1.17.4 release.
BUILD: remove SSE2 flag from numpy.random builds
DOC: Update NEP29 with Python3.8 informations.
BUG: Remove builtins from __all__
MAINT: Delete and ignore generated files
Update FUNDING.yml
MAINT: Remove uses of scalar aliases
NEP: move nep 34 to accepted
TST: Add s390x to the TravisCI test matrix.
DOC: Note FFT type promotion
TST: Test with Python3.8 on Windows.
TST: Update travis.yml
TST: add no_tracing decorator to refcount-sensitive codepath...
MAINT: Bump pytest from 5.2.2 to 5.2.4
BUG: Fix step returned by linspace when num=1 and endpoint=False
DOC: Compare 'tolist' function to 'list' in example
DOC: Clarify return type for default_rng
MAINT: move numpy/random/examples -> numpy/random/_examples
DOC: testing: Note handling of scalars in assert_array_equal...
DOC, API: add random.__init__.pxd and document random.* functions
DOC: Clean up examples of low-level random access
TST. API: test using distributions.h via cffi
TST: skip if cython is not available
MAINT: Cleaned up mintypecode for Py3
DOC: fix docstring of np.linalg.norm
MAINT: Added Python3.8 branch to dll lib discovery on Windows
DEV: update asv.conf.json
MAINT: Bump pytest from 5.2.4 to 5.3.0
MAINT: Fix typos
REV: "ENH: Improved performance of PyArray_FromAny for sequences...
BUG: warn when saving dtype with metadata
DEP: Deprecate the axis argument to masked_rows and masked_cols
MAINT: Fix long name of PCG64
DOC, API: improve the C-API/Cython documentation and interfaces...
DOC: Fix typo in numpy.loadtxt and numpy.genfromtxt documentation
ENH: allow using symbol-suffixed 64-bit BLAS/LAPACK for numpy.dot...
DOC: add a more useful comment to compat.py3k.py
DOC: lib: Use a clearer example of ddof in the notes of the cov...
TST: machinery for tests requiring large memory + lapack64 smoketest
MAINT: Only copy input array in _replace_nan() if there are nans...
MAINT: Bump pytest from 5.3.0 to 5.3.1
REV: "ENH: Improved performance of PyArray_FromAny for sequences...
REL: Prepare for 1.18 branch
MAINT: Cleaned up mintypecode for Py3 (pt. 2)
BUG: Fix refcounting in ufunc object loops
BUG: Exceptions tracebacks are dropped
REV: Revert "Merge pull request 14794 from mattip/nep-0034-impl"
API, DOC: change names to multivariate_hypergeometric, improve docs
REL: Prepare for NumPy 1.18.0 release.
TST: Check requires_memory immediately before the test
ENH: Add support to sort timedelta64 `NaT` to end of the array
MAINT: follow-up cleanup for blas64 PR
ENH: f2py: add --f2cmap option for specifying the name of .f2py_f2cmap
ENH: add support for ILP64 OpenBLAS (without symbol suffix)
Changes:
- The np.testing.utils functions have been updated from
1.19.0-dev0. This improves the function documentation and error
messages as well extending the assert_array_compare function to
additional types.
- Allow matmul (@) to work with object arrays.
- Fix regression in matmul (@) for boolean types.
- Array comparison assertions include maximum differences.
Changes:
- Add project URLs to setup.py
- fix tests and ctypes code for PyPy
- use npy_intp instead of int for indexing array
- Ignore DeprecationWarning during nose imports
- Fix use-after-free in boolean indexing
- Fix errors in _add_newdocs
- fix byte order reversal for datetime64[ns]
- Use nbytes to also catch empty descr during allocation
- np.array cleared errors occured in PyMemoryView_FromObject
- Fixes for Undefined Behavior Sanitizer (UBSan) errors.
- ensure that casting to/from structured is properly checked.
- fix histogram*d dispatchers
- further fixup to histogram2d dispatcher.
- Replace contextlib.suppress for Python 2.7
- fix compilation of 3rd party modules with Py_LIMITED_API...
- Fix memory leak in dtype from dict contructor
- Document array_function at a higher level.
- add new recfunctions to __all__
- Remove stray print that causes a SystemError on python 3.7
- Pin pytest version to 5.0.1.
- Enable huge pages in all Linux builds
- fix behavior of structured_to_unstructured
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
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.
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
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
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.
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.
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.
NumPy 1.15.2:
This is a bugfix release for bugs and regressions reported following the 1.15.1
release.
* The matrix PendingDeprecationWarning is now suppressed in pytest 3.8.
* The new cached allocations machinery has been fixed to be thread safe.
* The boolean indexing of subclasses now works correctly.
* A small memory leak in PyArray_AdaptFlexibleDType has been fixed.
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.
NumPy 1.15.1:
This is a bugfix release for bugs and regressions reported following the 1.15.0
release.
* The annoying but harmless RuntimeWarning that "numpy.dtype size changed" has
been suppressed. The long standing suppression was lost in the transition to
pytest.
* The update to Cython 0.28.3 exposed a problematic use of a gcc attribute used
to prefer code size over speed in module initialization, possibly resulting in
incorrect compiled code. This has been fixed in latest Cython but has been
disabled here for safety.
* Support for big-endian and ARMv8 architectures has been improved.
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.
NumPy 1.15.0 is a release with an unusual number of cleanups, many deprecations
of old functions, and improvements to many existing functions. Please read the
detailed descriptions below to see if you are affected.
For testing, we have switched to pytest as a replacement for the no longer
maintained nose framework. The old nose based interface remains for downstream
projects who may still be using it.
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.
Highlights:
- NumPy has switched to pytest for testing.
- A new numpy.printoptions context manager.
- Many improvements to the histogram functions.
- Support for unicode field names in python 2.7.
- Improved support for PyPy.
- Fixes and improvements to numpy.einsum.
NumPy 1.14.5:
This is a bugfix release for bugs reported following the 1.14.4 release. The
most significant fixes are:
* fixes for compilation errors on alpine and NetBSD
Upstream changes:
NumPy 1.14.4 Release Notes
This is a bugfix release for bugs reported following the 1.14.3 release. The most significant fixes are:
fixes for compiler instruction reordering that resulted in NaN's not being properly propagated in np.max and np.min,
fixes for bus faults on SPARC and older ARM due to incorrect alignment checks.
NumPy 1.14.3:
This is a bugfix release for a few bugs reported following the 1.14.2 release:
- np.lib.recfunctions.fromrecords accepts a list-of-lists, until 1.15
- In python2, float types use the new print style when printing to a file
- style arg in "legacy" print mode now works for 0d arrays
1.14.2:
This is a bugfix release for some bugs reported following the 1.14.1 release. The major
problems dealt with are as follows.
Residual bugs in the new array printing functionality.
Regression resulting in a relocation problem with shared library.
Improved PyPy compatibility.
NumPy 1.14.1 Release Notes
This is a bugfix release for some problems reported following the 1.14.0 release. The major
problems fixed are the following.
Problems with the new array printing, particularly the printing of complex
values, Please report any additional problems that may turn up.
Problems with np.einsum due to the new optimized=True default. Some
fixes for optimization have been applied and optimize=False is now the
default.
The sort order in np.unique when axis=<some-number> will now always
be lexicographic in the subarray elements. In previous NumPy versions there
was an optimization that could result in sorting the subarrays as unsigned
byte strings.
The change in 1.14.0 that multi-field indexing of structured arrays returns a
view instead of a copy has been reverted but remains on track for NumPy 1.15.
Affected users should read the 1.14.1 Numpy User Guide section
"basics/structured arrays/accessing multiple fields" for advice on how to
manage this transition.
NumPy 1.14.0 Release Notes
Numpy 1.14.0 is the result of seven months of work and contains a large number
of bug fixes and new features, along with several changes with potential
compatibility issues. The major change that users will notice are the
stylistic changes in the way numpy arrays and scalars are printed, a change
that will affect doctests. See below for details on how to preserve the
old style printing when needed.
A major decision affecting future development concerns the schedule for
dropping Python 2.7 support in the runup to 2020. The decision has been made to
support 2.7 for all releases made in 2018, with the last release being
designated a long term release with support for bug fixes extending through
2019. In 2019 support for 2.7 will be dropped in all new releases. More details
can be found in the relevant NEP_.
This release supports Python 2.7 and 3.4 - 3.6.
NumPy 1.13.3:
This is a bugfix release for some problems found since 1.13.1. The most
important fixes are for CVE-2017-12852 and temporary elision. Users of earlier
versions of 1.13 should upgrade.
Highlights
* Operations like a + b + c will reuse temporaries on some platforms,
resulting in less memory use and faster execution.
* Inplace operations check if inputs overlap outputs and create temporaries
to avoid problems.
* New __array_ufunc__ attribute provides improved ability for classes to
override default ufunc behavior.
* New np.block function for creating blocked arrays.
New functions
* New np.positive ufunc.
* New np.divmod ufunc provides more efficient divmod.
* New np.isnat ufunc tests for NaT special values.
* New np.heaviside ufunc computes the Heaviside function.
* New np.isin function, improves on in1d.
* New np.block function for creating blocked arrays.
* New PyArray_MapIterArrayCopyIfOverlap added to NumPy C-API.
NumPy 1.12.1 supports Python 2.7 and 3.4 - 3.6 and fixes bugs and regressions
found in NumPy 1.12.0. In particular, the regression in f2py constant parsing
is fixed.
FAILED (KNOWNFAIL=8, SKIP=9, errors=1, failures=1)
==========================
NumPy 1.12.0 Release Notes
==========================
This release supports Python 2.7 and 3.4 - 3.6.
Highlights
==========
The NumPy 1.12.0 release contains a large number of fixes and improvements, but
few that stand out above all others. That makes picking out the highlights
somewhat arbitrary but the following may be of particular interest or indicate
areas likely to have future consequences.
* Order of operations in ``np.einsum`` can now be optimized for large speed improvements.
* New ``signature`` argument to ``np.vectorize`` for vectorizing with core dimensions.
* The ``keepdims`` argument was added to many functions.
* New context manager for testing warnings
* Support for BLIS in numpy.distutils
* Much improved support for PyPy (not yet finished)
Dropped Support
===============
* Support for Python 2.6, 3.2, and 3.3 has been dropped.
Added Support
=============
* Support for PyPy 2.7 v5.6.0 has been added. While not complete (nditer
``updateifcopy`` is not supported yet), this is a milestone for PyPy's
C-API compatibility layer.
Build System Changes
====================
* Library order is preserved, instead of being reordered to match that of
the directories.
Deprecations
============
Assignment of ndarray object's ``data`` attribute
-------------------------------------------------
Assigning the 'data' attribute is an inherently unsafe operation as pointed
out in gh-7083. Such a capability will be removed in the future.
Unsafe int casting of the num attribute in ``linspace``
-------------------------------------------------------
``np.linspace`` now raises DeprecationWarning when num cannot be safely
interpreted as an integer.
Insufficient bit width parameter to ``binary_repr``
---------------------------------------------------
If a 'width' parameter is passed into ``binary_repr`` that is insufficient to
represent the number in base 2 (positive) or 2's complement (negative) form,
the function used to silently ignore the parameter and return a representation
using the minimal number of bits needed for the form in question. Such behavior
is now considered unsafe from a user perspective and will raise an error in the
future.
Future Changes
==============
* In 1.13 NAT will always compare False except for ``NAT != NAT``,
which will be True. In short, NAT will behave like NaN
* In 1.13 np.average will preserve subclasses, to match the behavior of most
other numpy functions such as np.mean. In particular, this means calls which
returned a scalar may return a 0-d subclass object instead.
Multiple-field manipulation of structured arrays
------------------------------------------------
In 1.13 the behavior of structured arrays involving multiple fields will change
in two ways:
First, indexing a structured array with multiple fields (eg,
``arr[['f1', 'f3']]``) will return a view into the original array in 1.13,
instead of a copy. Note the returned view will have extra padding bytes
corresponding to intervening fields in the original array, unlike the copy in
1.12, which will affect code such as ``arr[['f1', 'f3']].view(newdtype)``.
Second, for numpy versions 1.6 to 1.12 assignment between structured arrays
occurs "by field name": Fields in the destination array are set to the
identically-named field in the source array or to 0 if the source does not have
a field::
>>> a = np.array([(1,2),(3,4)], dtype=[('x', 'i4'), ('y', 'i4')])
>>> b = np.ones(2, dtype=[('z', 'i4'), ('y', 'i4'), ('x', 'i4')])
>>> b[:] = a
>>> b
array([(0, 2, 1), (0, 4, 3)],
dtype=[('z', '<i4'), ('y', '<i4'), ('x', '<i4')])
In 1.13 assignment will instead occur "by position": The Nth field of the
destination will be set to the Nth field of the source regardless of field
name. The old behavior can be obtained by using indexing to reorder the fields
before
assignment, e.g., ``b[['x', 'y']] = a[['y', 'x']]``.
Compatibility notes
===================
DeprecationWarning to error
---------------------------
* Indexing with floats raises ``IndexError``,
e.g., a[0, 0.0].
* Indexing with non-integer array_like raises ``IndexError``,
e.g., ``a['1', '2']``
* Indexing with multiple ellipsis raises ``IndexError``,
e.g., ``a[..., ...]``.
* Non-integers used as index values raise ``TypeError``,
e.g., in ``reshape``, ``take``, and specifying reduce axis.
FutureWarning to changed behavior
---------------------------------
* ``np.full`` now returns an array of the fill-value's dtype if no dtype is
given, instead of defaulting to float.
* np.average will emit a warning if the argument is a subclass of ndarray,
as the subclass will be preserved starting in 1.13. (see Future Changes)
``power`` and ``**`` raise errors for integer to negative integer powers
------------------------------------------------------------------------
The previous behavior depended on whether numpy scalar integers or numpy
integer arrays were involved.
For arrays
* Zero to negative integer powers returned least integral value.
* Both 1, -1 to negative integer powers returned correct values.
* The remaining integers returned zero when raised to negative integer powers.
For scalars
* Zero to negative integer powers returned least integral value.
* Both 1, -1 to negative integer powers returned correct values.
* The remaining integers sometimes returned zero, sometimes the
correct float depending on the integer type combination.
All of these cases now raise a ``ValueError`` except for those integer
combinations whose common type is float, for instance uint64 and int8. It was
felt that a simple rule was the best way to go rather than have special
exceptions for the integer units. If you need negative powers, use an inexact
type.
Relaxed stride checking is the default
--------------------------------------
This will have some impact on code that assumed that ``F_CONTIGUOUS`` and
``C_CONTIGUOUS`` were mutually exclusive and could be set to determine the
default order for arrays that are now both.
The ``np.percentile`` 'midpoint' interpolation method fixed for exact indices
-----------------------------------------------------------------------------
The 'midpoint' interpolator now gives the same result as 'lower' and 'higher' when
the two coincide. Previous behavior of 'lower' + 0.5 is fixed.
``keepdims`` kwarg is passed through to user-class methods
----------------------------------------------------------
numpy functions that take a ``keepdims`` kwarg now pass the value
through to the corresponding methods on ndarray sub-classes. Previously the
``keepdims`` keyword would be silently dropped. These functions now have
the following behavior:
1. If user does not provide ``keepdims``, no keyword is passed to the underlying
method.
2. Any user-provided value of ``keepdims`` is passed through as a keyword
argument to the method.
This will raise in the case where the method does not support a
``keepdims`` kwarg and the user explicitly passes in ``keepdims``.
The following functions are changed: ``sum``, ``product``,
``sometrue``, ``alltrue``, ``any``, ``all``, ``amax``, ``amin``,
``prod``, ``mean``, ``std``, ``var``, ``nanmin``, ``nanmax``,
``nansum``, ``nanprod``, ``nanmean``, ``nanmedian``, ``nanvar``,
``nanstd``
``bitwise_and`` identity changed
--------------------------------
The previous identity was 1, it is now -1. See entry in `Improvements`_ for
more explanation.
ma.median warns and returns nan when unmasked invalid values are encountered
----------------------------------------------------------------------------
Similar to unmasked median the masked median `ma.median` now emits a Runtime
warning and returns `NaN` in slices where an unmasked `NaN` is present.
Greater consistancy in ``assert_almost_equal``
----------------------------------------------
The precision check for scalars has been changed to match that for arrays. It
is now::
abs(actual - desired) < 1.5 * 10**(-decimal)
Note that this is looser than previously documented, but agrees with the
previous implementation used in ``assert_array_almost_equal``. Due to the
change in implementation some very delicate tests may fail that did not
fail before.
``NoseTester`` behaviour of warnings during testing
---------------------------------------------------
When ``raise_warnings="develop"`` is given, all uncaught warnings will now
be considered a test failure. Previously only selected ones were raised.
Warnings which are not caught or raised (mostly when in release mode)
will be shown once during the test cycle similar to the default python
settings.
``assert_warns`` and ``deprecated`` decorator more specific
-----------------------------------------------------------
The ``assert_warns`` function and context manager are now more specific
to the given warning category. This increased specificity leads to them
being handled according to the outer warning settings. This means that
no warning may be raised in cases where a wrong category warning is given
and ignored outside the context. Alternatively the increased specificity
may mean that warnings that were incorrectly ignored will now be shown
or raised. See also the new ``suppress_warnings`` context manager.
The same is true for the ``deprecated`` decorator.
C API
-----
No changes.
New Features
============
Writeable keyword argument for ``as_strided``
---------------------------------------------
``np.lib.stride_tricks.as_strided`` now has a ``writeable``
keyword argument. It can be set to False when no write operation
to the returned array is expected to avoid accidental
unpredictable writes.
``axes`` keyword argument for ``rot90``
---------------------------------------
The ``axes`` keyword argument in ``rot90`` determines the plane in which the
array is rotated. It defaults to ``axes=(0,1)`` as in the originial function.
Generalized ``flip``
--------------------
``flipud`` and ``fliplr`` reverse the elements of an array along axis=0 and
axis=1 respectively. The newly added ``flip`` function reverses the elements of
an array along any given axis.
* ``np.count_nonzero`` now has an ``axis`` parameter, allowing
non-zero counts to be generated on more than just a flattened
array object.
BLIS support in ``numpy.distutils``
-----------------------------------
Building against the BLAS implementation provided by the BLIS library is now
supported. See the ``[blis]`` section in ``site.cfg.example`` (in the root of
the numpy repo or source distribution).
Hook in ``numpy/__init__.py`` to run distribution-specific checks
-----------------------------------------------------------------
Binary distributions of numpy may need to run specific hardware checks or load
specific libraries during numpy initialization. For example, if we are
distributing numpy with a BLAS library that requires SSE2 instructions, we
would like to check the machine on which numpy is running does have SSE2 in
order to give an informative error.
Add a hook in ``numpy/__init__.py`` to import a ``numpy/_distributor_init.py``
file that will remain empty (bar a docstring) in the standard numpy source,
but that can be overwritten by people making binary distributions of numpy.
New nanfunctions ``nancumsum`` and ``nancumprod`` added
-------------------------------------------------------
Nan-functions ``nancumsum`` and ``nancumprod`` have been added to
compute ``cumsum`` and ``cumprod`` by ignoring nans.
``np.interp`` can now interpolate complex values
------------------------------------------------
``np.lib.interp(x, xp, fp)`` now allows the interpolated array ``fp``
to be complex and will interpolate at ``complex128`` precision.
New polynomial evaluation function ``polyvalfromroots`` added
-------------------------------------------------------------
The new function ``polyvalfromroots`` evaluates a polynomial at given points
from the roots of the polynomial. This is useful for higher order polynomials,
where expansion into polynomial coefficients is inaccurate at machine
precision.
New array creation function ``geomspace`` added
-----------------------------------------------
The new function ``geomspace`` generates a geometric sequence. It is similar
to ``logspace``, but with start and stop specified directly:
``geomspace(start, stop)`` behaves the same as
``logspace(log10(start), log10(stop))``.
New context manager for testing warnings
----------------------------------------
A new context manager ``suppress_warnings`` has been added to the testing
utils. This context manager is designed to help reliably test warnings.
Specifically to reliably filter/ignore warnings. Ignoring warnings
by using an "ignore" filter in Python versions before 3.4.x can quickly
result in these (or similar) warnings not being tested reliably.
The context manager allows to filter (as well as record) warnings similar
to the ``catch_warnings`` context, but allows for easier specificity.
Also printing warnings that have not been filtered or nesting the
context manager will work as expected. Additionally, it is possible
to use the context manager as a decorator which can be useful when
multiple tests give need to hide the same warning.
New masked array functions ``ma.convolve`` and ``ma.correlate`` added
---------------------------------------------------------------------
These functions wrapped the non-masked versions, but propagate through masked
values. There are two different propagation modes. The default causes masked
values to contaminate the result with masks, but the other mode only outputs
masks if there is no alternative.
New ``float_power`` ufunc
-------------------------
The new ``float_power`` ufunc is like the ``power`` function except all
computation is done in a minimum precision of float64. There was a long
discussion on the numpy mailing list of how to treat integers to negative
integer powers and a popular proposal was that the ``__pow__`` operator should
always return results of at least float64 precision. The ``float_power``
function implements that option. Note that it does not support object arrays.
``np.loadtxt`` now supports a single integer as ``usecol`` argument
-------------------------------------------------------------------
Instead of using ``usecol=(n,)`` to read the nth column of a file
it is now allowed to use ``usecol=n``. Also the error message is
more user friendly when a non-integer is passed as a column index.
Improved automated bin estimators for ``histogram``
---------------------------------------------------
Added 'doane' and 'sqrt' estimators to ``histogram`` via the ``bins``
argument. Added support for range-restricted histograms with automated
bin estimation.
``np.roll`` can now roll multiple axes at the same time
-------------------------------------------------------
The ``shift`` and ``axis`` arguments to ``roll`` are now broadcast against each
other, and each specified axis is shifted accordingly.
The ``__complex__`` method has been implemented for the ndarrays
----------------------------------------------------------------
Calling ``complex()`` on a size 1 array will now cast to a python
complex.
``pathlib.Path`` objects now supported
--------------------------------------
The standard ``np.load``, ``np.save``, ``np.loadtxt``, ``np.savez``, and similar
functions can now take ``pathlib.Path`` objects as an argument instead of a
filename or open file object.
New ``bits`` attribute for ``np.finfo``
---------------------------------------
This makes ``np.finfo`` consistent with ``np.iinfo`` which already has that
attribute.
New ``signature`` argument to ``np.vectorize``
----------------------------------------------
This argument allows for vectorizing user defined functions with core
dimensions, in the style of NumPy's
:ref:`generalized universal functions<c-api.generalized-ufuncs>`. This allows
for vectorizing a much broader class of functions. For example, an arbitrary
distance metric that combines two vectors to produce a scalar could be
vectorized with ``signature='(n),(n)->()'``. See ``np.vectorize`` for full
details.
Emit py3kwarnings for division of integer arrays
------------------------------------------------
To help people migrate their code bases from Python 2 to Python 3, the
python interpreter has a handy option -3, which issues warnings at runtime.
One of its warnings is for integer division::
$ python -3 -c "2/3"
-c:1: DeprecationWarning: classic int division
In Python 3, the new integer division semantics also apply to numpy arrays.
With this version, numpy will emit a similar warning::
$ python -3 -c "import numpy as np; np.array(2)/np.array(3)"
-c:1: DeprecationWarning: numpy: classic int division
numpy.sctypes now includes bytes on Python3 too
-----------------------------------------------
Previously, it included str (bytes) and unicode on Python2, but only str
(unicode) on Python3.
Improvements
============
``bitwise_and`` identity changed
--------------------------------
The previous identity was 1 with the result that all bits except the LSB were
masked out when the reduce method was used. The new identity is -1, which
should work properly on twos complement machines as all bits will be set to
one.
Generalized Ufuncs will now unlock the GIL
------------------------------------------
Generalized Ufuncs, including most of the linalg module, will now unlock
the Python global interpreter lock.
Caches in `np.fft` are now bounded in total size and item count
---------------------------------------------------------------
The caches in `np.fft` that speed up successive FFTs of the same length can no
longer grow without bounds. They have been replaced with LRU (least recently
used) caches that automatically evict no longer needed items if either the
memory size or item count limit has been reached.
Improved handling of zero-width string/unicode dtypes
-----------------------------------------------------
Fixed several interfaces that explicitly disallowed arrays with zero-width
string dtypes (i.e. ``dtype('S0')`` or ``dtype('U0')``, and fixed several
bugs where such dtypes were not handled properly. In particular, changed
``ndarray.__new__`` to not implicitly convert ``dtype('S0')`` to
``dtype('S1')`` (and likewise for unicode) when creating new arrays.
Integer ufuncs vectorized with AVX2
-----------------------------------
If the cpu supports it at runtime the basic integer ufuncs now use AVX2
instructions. This feature is currently only available when compiled with GCC.
Order of operations optimization in ``np.einsum``
--------------------------------------------------
``np.einsum`` now supports the ``optimize`` argument which will optimize the
order of contraction. For example, ``np.einsum`` would complete the chain dot
example ``np.einsum(‘ij,jk,kl->il’, a, b, c)`` in a single pass which would
scale like ``N^4``; however, when ``optimize=True`` ``np.einsum`` will create
an intermediate array to reduce this scaling to ``N^3`` or effectively
``np.dot(a, b).dot(c)``. Usage of intermediate tensors to reduce scaling has
been applied to the general einsum summation notation. See ``np.einsum_path``
for more details.
quicksort has been changed to an introsort
------------------------------------------
The quicksort kind of ``np.sort`` and ``np.argsort`` is now an introsort which
is regular quicksort but changing to a heapsort when not enough progress is
made. This retains the good quicksort performance while changing the worst case
runtime from ``O(N^2)`` to ``O(N*log(N))``.
``ediff1d`` improved performance and subclass handling
------------------------------------------------------
The ediff1d function uses an array instead on a flat iterator for the
subtraction. When to_begin or to_end is not None, the subtraction is performed
in place to eliminate a copy operation. A side effect is that certain
subclasses are handled better, namely astropy.Quantity, since the complete
array is created, wrapped, and then begin and end values are set, instead of
using concatenate.
Improved precision of ``ndarray.mean`` for float16 arrays
---------------------------------------------------------
The computation of the mean of float16 arrays is now carried out in float32 for
improved precision. This should be useful in packages such as Theano
where the precision of float16 is adequate and its smaller footprint is
desireable.
Changes
=======
All array-like methods are now called with keyword arguments in fromnumeric.py
------------------------------------------------------------------------------
Internally, many array-like methods in fromnumeric.py were being called with
positional arguments instead of keyword arguments as their external signatures
were doing. This caused a complication in the downstream 'pandas' library
that encountered an issue with 'numpy' compatibility. Now, all array-like
methods in this module are called with keyword arguments instead.
Operations on np.memmap objects return numpy arrays in most cases
-----------------------------------------------------------------
Previously operations on a memmap object would misleadingly return a memmap
instance even if the result was actually not memmapped. For example,
``arr + 1`` or ``arr + arr`` would return memmap instances, although no memory
from the output array is memmaped. Version 1.12 returns ordinary numpy arrays
from these operations.
Also, reduction of a memmap (e.g. ``.sum(axis=None``) now returns a numpy
scalar instead of a 0d memmap.
stacklevel of warnings increased
--------------------------------
The stacklevel for python based warnings was increased so that most warnings
will report the offending line of the user code instead of the line the
warning itself is given. Passing of stacklevel is now tested to ensure that
new warnings will receive the ``stacklevel`` argument.
This causes warnings with the "default" or "module" filter to be shown once
for every offending user code line or user module instead of only once. On
python versions before 3.4, this can cause warnings to appear that were falsely
ignored before, which may be surprising especially in test suits.
==========================
NumPy 1.11.3 Release Notes
==========================
Numpy 1.11.3 fixes a bug that leads to file corruption when very large files
opened in append mode are used in ``ndarray.tofile``. It supports Python
versions 2.6 - 2.7 and 3.2 - 3.5. Wheels for Linux, Windows, and OS X can be
found on PyPI.
Contributors to maintenance/1.11.3
==================================
A total of 2 people contributed to this release. People with a "+" by their
names contributed a patch for the first time.
- Charles Harris
- Pavel Potocek +
Pull Requests Merged
====================
- `#8341 <https://github.com/numpy/numpy/pull/8341>`__: BUG: Fix ndarray.tofile large file corruption in append mode.
- `#8346 <https://github.com/numpy/numpy/pull/8346>`__: TST: Fix tests in PR #8341 for NumPy 1.11.x
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