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* Allow `None` to be passed to certain `generic` subclassesBas van Beek2020-06-251-0/+6
| | | | | | | Affected generic subclasses: * `floating` * `complexfloating` * `datetime64`
* Fixed language styleErfan Nariman | Veneficus2020-06-231-3/+3
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* ENH: Added annotations to 8 functions from np.core.fromnumeric (#16647)Bas van Beek2020-06-223-0/+174
| | | | | | | | | | | | Newly annotated functions: * `clip` * `sum` * `all` * `any` * `cumsum` * `ptp` * `amax` * `amin`
* ENH: add annotation for abs (#16618)Yuya Unno2020-06-212-0/+4
| | | `numpy.abs` is alias of `numpy.absolute`. I added its type annotation.
* TST: add a static typing test for memoryviews as ArrayLikesLevi Stovall2020-06-201-1/+2
| | | | See #16612
* Merge pull request #13516 from seiko2plus/core_improve_infa_buildMatti Picus2020-06-171-0/+1
|\ | | | | ENH: enable multi-platform SIMD compiler optimizations
| * ENH: [1/7] enable multi-platform SIMD compiler optimizationsSayed Adel2020-06-151-0/+1
| | | | | | | | | | | | | | | | | | | | | | | | | | | | Implement new distutils class `CCompilerOpt`, used for handling the CPU/hardware optimization, starting from parsing the command arguments, to managing the relationship between the CPU baseline and dispatch-able features, also generating the required C headers and ending with compiling the sources with proper compiler's flags. `CCompilerOpt` mainly used as a helper class for `CCompiler`, and doesn't provide any runtime detection for the CPU features, instead only focuses on the compiler side, but it generates abstract C headers that can be used later for the final runtime dispatching process.
* | Merge pull request #16558 from person142/typing-runtimeMatti Picus2020-06-173-16/+5
|\ \ | | | | | | ENH: make typing module available at runtime
| * | MAINT: make typing module available at runtimeJosh Wilson2020-06-093-16/+5
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Closes https://github.com/numpy/numpy/issues/16550. This makes `np.typing.ArrayLike` and `np.typing.DtypeLike` available at runtime in addition to typing time. Some things to consider: - `ArrayLike` uses protocols, which are only in the standard library in 3.8+, but are backported in `typing_extensions`. This conditionally imports `Protocol` and sets `_SupportsArray` to `Any` at runtime if the module is not available to prevent NumPy from having a hard dependency on `typing_extensions`. Since e.g. mypy already includes `typing_extensions` as a dependency, anybody actually doing type checking will have it set correctly. - We are starting to hit the edges of "the fiction of the stubs". In particular, they could just cram everything into `__init__.pyi` and ignore the real structure of NumPy. But now that typing is available a runtime, we have to e.g. carefully import `ndarray` from `numpy` in the typing module and not from `..core.multiarray`, because otherwise mypy will think you are talking about a different ndarray. We will probably need to do some shuffling the stubs into more fitting locations to mitigate weirdness like this.
* | | Merge pull request #14882 from eric-wieser/6103-alias-__getattr__-deprecationSebastian Berg2020-06-161-12/+16
|\ \ \ | | | | | | | | DEP: Deprecate aliases of builtin types in python 3.7+
| * | | DEP: Deprecate aliases of builtin types in python 3.7+Eric Wieser2020-06-121-12/+16
| |/ / | | | | | | | | | | | | | | | | | | | | | This: * Makes accessing these attributes emit a deprecation warning * Removes them from `dir(numpy)`, so as not to emit warnings for user of `inspect.getmembers` These aliases are a continual source of confusion for beginners, and are still often used by accident by experts.
* | | MAINT: changed np.generic arguments to positional-only (#16583)Bas van Beek2020-06-142-0/+18
| |/ |/| | | | | | | | | | | | | | | Closes https://github.com/numpy/numpy/issues/16577. Make the arguments of `np.generic` constructors positional-only. Also fix the constructor of`np.bytes_`: encoding is only supported when supplied a string. The opposite holds for `np.str_`.
* | MAINT: fix name of first parameter to dtype constructor in type stubsJosh Wilson2020-06-101-0/+3
| | | | | | | | | | The first parameter to the constructor is currently called "obj", which is incorrect. It should instead be "dtype".
* | MAINT: simplifying annotations for np.core.from_numeric (#16556)Bas van Beek2020-06-101-10/+0
|/ | | | | | Simplified annotations for functions requiring >=1D ArrayLike objects. Affects a set of <20 functions from ``np.core.fromnumeric``. Based on feedback from https://github.com/numpy/numpy-stubs/pull/71.
* MAINT: avoid more division by zero in typing test causing aarch64 to failJosh Wilson2020-06-071-5/+6
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* MAINT: avoid divide by zero in typing test causing aarch64 tests to failJosh Wilson2020-06-071-1/+1
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* MAINT: modify mypy error line parsing to work on windowsJosh Wilson2020-06-071-2/+14
| | | | It currently splits on ":", which causes problems with drives.
* MAINT: move typing tests cases into a subdirectory of numpy/testsJosh Wilson2020-06-0728-6/+6
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* ENH: add type stubs from numpy-stubsJosh Wilson2020-06-0628-0/+1327
| | | | | | | | | | | | | | | | | | | | | Add the type stubs and tests from numpy-stubs. Things this entails: - Copy over the stubs (numpy/__init__.pyi and numpy/core/_internal.pyi) - The only modification made was removing `ndarray.tostring` since it is deprecated - Update some setup.py files to include pyi files - Move the tests from numpy-stubs/tests into numpy/tests - Skip them if mypy is not installed (planning on setting up CI in a future PR) - Add a mypy.ini; use it to configure mypy in the tests - It tells mypy where to find NumPy in the test env - It ignores internal NumPy type errors (since we only want to consider errors from the tests cases) - Some small edits were made to fix test cases that were emitting deprecation warnings - Add numpy/py.typed so that the types are picked up in an installed version of NumPy
* BUG: Allow attaching documentation twice in add_docstringSebastian Berg2020-05-191-0/+26
| | | | | | | This is technically not a bug, but some IDEs and IPython have autoreload magic which can mean that NumPy gets reloaded a second time. This is not safe, but when it happens ignoring that an identical docstring is already attached fixes the issue.
* DEP: Deprecate `numpy.dual`.Warren Weckesser2020-05-041-1/+1
| | | | | | Add a deprecation warning in the `numpy.dual` module, and remove the use of `numpy.dual` from the few places where it is used in the numpy code.
* BUG: add missing c_distributions.pxd, enables cython use of random C-API ↵Matti Picus2020-03-161-0/+1
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | (gh-15463) xref gh-14778 As pointed out in the comment by @jamesthomasgriffin, we did not include a pxd file to expose the distribution functions documented in the random c-api. This PR adds a c_distributions.pxd file that exposes them. Squashed commits: * BUG: add missing c_distributions.pxd to enable cython use of random C-API * ENH, TST: add npyrandom library like npymath, test cython use of it * BUG: actually prefix f-string with f * MAINT: fixes from review, add _bit_generato_bit_generator.pxd * STY: fixes from review * BLD: don't use nprandom library for mtrand legacy build * TST: WindowsPath cannot be used in subprocess's list2cmdline * MAINT, API: move _bit_generator to bit_generator * DOC: add release note about moving bit_generator * DOC, MAINT: fixes from review * MAINT: redo dtype determination from review
* MAINT: cleanup unused imports; avoid redefinition of importsMike Taves2020-02-063-4/+1
| | | | | | | * Cleanup unused imports (F401) of mostly standard Python modules, or some internal but unlikely referenced modules * Where internal imports are potentially used, mark with noqa * Avoid redefinition of imports (F811)
* MAINT: dir(numpy) returned duplicate "testing" (gh-15425)SanthoshBala182020-01-271-0/+6
| | | | | Modified __dir__() to remove duplicate "Tester/Testing" attribute. Also added a test to verify this. Closes gh-15383
* Merge pull request #15381 from sethtroisi/matlib_namespaceMatti Picus2020-01-271-8/+0
|\ | | | | DEP: add PendingDeprecation to matlib.py funky namespace
| * DEP: deprecate importing numpy/matrixlib.pySeth Troisi2020-01-231-8/+0
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* | MAINT: Replace basestring with str.Charles Harris2020-01-231-1/+0
|/ | | | | | | This replaces basestring with str except in - tools/npy_tempita/ - numpy/compat/py3k.py
* MAINT: Python2 CleanupsSeth Troisi2020-01-211-1/+1
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* MAINT: Remove sys.version checks in testsSeth Troisi2020-01-153-63/+56
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* Merge remote-tracking branch 'upstream/master' into ↵Eric Wieser2020-01-067-20/+5
|\ | | | | | | remove-numpy.distutils.compat
| * MAINT: Remove implicit inheritance from object class (#15236)Jon Dufresne2020-01-051-5/+5
| | | | | | | | | | | | | | Inheriting from object was necessary for Python 2 compatibility to use new-style classes. In Python 3, this is unnecessary as there are no old-style classes. Dropping the object is more idiomatic Python.
| * MAINT: Remove unused int_asbufferJon Dufresne2020-01-041-1/+0
| | | | | | | | | | | | | | On Python 3, int_asbuffer throws NotImplementedError and goes unused internally. Fixes #12425
| * MAINT: Remove unnecessary 'from __future__ import ...' statementsJon Dufresne2020-01-037-14/+0
| | | | | | | | | | As numpy is Python 3 only, these import statements are now unnecessary and don't alter runtime behavior.
* | MAINT: Delete numpy.distutils.compatEric Wieser2020-01-061-1/+0
|/ | | | `get_exception` has no callers as of this commit's parent, and is hard to argue as public API given the only docstring in the file refers to "inside distutils".
* MAINT: move numpy/random/examples -> numpy/random/_examplesmattip2019-11-191-1/+0
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* API: restructure and document numpy.random C-API (#14604)Matti Picus2019-11-191-1/+2
| | | | | | | | | | | | | | | | * API: restructure and document numpy.random C-API * DOC: fix bad reference * API: ship, document, and start to test numpy.random C-API examples * API, DOC, TST: fix tests, refactor documentation to include snippets * BUILD: move public headers to numpy/core/include/numpy/random * TST: ignore DeprecationWarnings in setuptools and numba * DOC: document the C-API as used from Cython
* API: move bit_generator and generator to be privatemattip2019-10-111-2/+0
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* API: make BitGenerators privatemattip2019-10-111-4/+0
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* API: rename common, bounded_integers -> _common, _bounded_integers; cleanupmattip2019-10-111-2/+0
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* MAINT: remove unused numpy/f2py/info.py fileRalf Gommers2019-09-221-1/+0
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* DOC: clean up numpy.lib docstring, remove numpy/lib/info.pyRalf Gommers2019-09-221-1/+0
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* DOC: add up-to-date numpy.linalg docstring, remove info.py fileRalf Gommers2019-09-221-1/+0
| | | | | | Docstring isn't used to render the html docs, that is controlled by ``routines.linalg.rst``. Still good to bring the contents of function listings of the module docstring in line with that file.
* MAINT: remove stray numpy/random/info.py fileRalf Gommers2019-09-221-1/+0
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* DOC: add a numpy.distutils module docstring, remove info.py fileRalf Gommers2019-09-221-1/+0
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* DOC: remove numpy/core/info.py and incomplete docstring for core.Ralf Gommers2019-09-221-1/+0
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* DEP: remove deprecate (and private) numpy.testing submodules.Ralf Gommers2019-09-211-3/+0
| | | | | | | | | | | Removes these files that were deprecated since 1.15.0: - numpy/testing/decorators.py - numpy/testing/noseclasses.py - numpy/testing/nosetester.py This also resolves a failure in the recently introduced tests in `test_public_api.py` (see gh-14454). Closes gh-14566
* TST: add test to check that (semi-)public API modules can be importedRalf Gommers2019-09-191-17/+68
| | | | | Also remove `numpy.ma.version.py`, it was not importable and served no purpose.
* TST: remove random.entropy from public API test, it was removed in gh-14498Ralf Gommers2019-09-191-1/+0
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* TST: make xfailed test for modules in public API pass.Ralf Gommers2019-09-191-3/+35
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* TST: add comment on public/semi-private modules.Ralf Gommers2019-09-191-21/+31
| | | | Also address other review comments.
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