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| author | DongHun Kwak <dh0128.kwak@samsung.com> | 2020-12-31 09:41:37 +0900 |
|---|---|---|
| committer | DongHun Kwak <dh0128.kwak@samsung.com> | 2020-12-31 09:41:37 +0900 |
| commit | e1f563b48f6c6abe918994862ed40e1bc5e8194a (patch) | |
| tree | c7b7ab3555249a4e4137529d89f09aeb2da48efd | |
| parent | 0c12ca49cde19388bfef915d7652c7f808d96bb8 (diff) | |
| download | python-numpy-e1f563b48f6c6abe918994862ed40e1bc5e8194a.tar.gz python-numpy-e1f563b48f6c6abe918994862ed40e1bc5e8194a.tar.bz2 python-numpy-e1f563b48f6c6abe918994862ed40e1bc5e8194a.zip | |
Imported Upstream version 1.19.2upstream/1.19.2
28 files changed, 1276 insertions, 295 deletions
diff --git a/.circleci/config.yml b/.circleci/config.yml index c3d4352e8..2a986cba6 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -29,7 +29,7 @@ jobs: name: build numpy command: | . venv/bin/activate - pip install --upgrade pip setuptools + pip install --upgrade pip 'setuptools<49.2.0' pip install cython pip install . pip install scipy @@ -232,6 +232,7 @@ Shota Kawabuchi <shota.kawabuchi+GitHub@gmail.com> skwbc <shota.kawabuchi+GitHub Siavash Eliasi <siavashserver@gmail.com> siavashserver <siavashserver@gmail.com> Simon Gasse <simon.gasse@gmail.com> sgasse <sgasse@users.noreply.github.com> Søren Rasmussen <soren.rasmussen@alexandra.dk> sorenrasmussenai <47032123+sorenrasmussenai@users.noreply.github.com> +Stefan Behnel <stefan_ml@behnel.de> scoder <stefan_ml@behnel.de> Stefan van der Walt <stefanv@berkeley.edu> Stefan van der Walt <sjvdwalt@gmail.com> Stefan van der Walt <stefanv@berkeley.edu> Stefan van der Walt <stefan@sun.ac.za> Stephan Hoyer <shoyer@gmail.com> Stephan Hoyer <shoyer@climate.com> diff --git a/.travis.yml b/.travis.yml index e019495fb..b863660f7 100644 --- a/.travis.yml +++ b/.travis.yml @@ -121,7 +121,7 @@ jobs: - python: 3.7 os: linux - arch: aarch64 + arch: arm64 env: # use OpenBLAS build, not system ATLAS - DOWNLOAD_OPENBLAS=1 diff --git a/LICENSES_bundled.txt b/LICENSES_bundled.txt index ea349c7ee..e9c66d1dc 100644 --- a/LICENSES_bundled.txt +++ b/LICENSES_bundled.txt @@ -3,22 +3,22 @@ compatibly licensed. We list these here. Name: Numpydoc Files: doc/sphinxext/numpydoc/* -License: 2-clause BSD +License: BSD-2-Clause For details, see doc/sphinxext/LICENSE.txt Name: scipy-sphinx-theme Files: doc/scipy-sphinx-theme/* -License: 3-clause BSD, PSF and Apache 2.0 +License: BSD-3-Clause AND PSF-2.0 AND Apache-2.0 For details, see doc/scipy-sphinx-theme/LICENSE.txt Name: lapack-lite Files: numpy/linalg/lapack_lite/* -License: 3-clause BSD +License: BSD-3-Clause For details, see numpy/linalg/lapack_lite/LICENSE.txt Name: tempita Files: tools/npy_tempita/* -License: BSD derived +License: MIT For details, see tools/npy_tempita/license.txt Name: dragon4 diff --git a/MANIFEST.in b/MANIFEST.in index b58f85d4d..9392b8116 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -16,7 +16,7 @@ include .coveragerc include test_requirements.txt recursive-include numpy/random *.pyx *.pxd *.pyx.in *.pxd.in include numpy/random/include/* -include numpy/__init__.pxd +include numpy/*.pxd # Add build support that should go in sdist, but not go in bdist/be installed # Note that sub-directories that don't have __init__ are apparently not # included by 'recursive-include', so list those separately diff --git a/azure-pipelines.yml b/azure-pipelines.yml index f4d8ca142..80b5b9770 100644 --- a/azure-pipelines.yml +++ b/azure-pipelines.yml @@ -129,7 +129,7 @@ stages: otool -L /usr/local/lib/libopenblas* displayName: 'install pre-built openblas' condition: eq(variables['USE_OPENBLAS'], '1') - - script: python -m pip install --upgrade pip setuptools wheel + - script: python -m pip install --upgrade pip 'setuptools<49.2.0' wheel displayName: 'Install tools' - script: | python -m pip install -r test_requirements.txt @@ -250,7 +250,7 @@ stages: displayName: 'add gcc 4.8' - script: | # python3 has no setuptools, so install one to get us going - python3 -m pip install --user --upgrade pip setuptools!=49.2.0 + python3 -m pip install --user --upgrade pip 'setuptools<49.2.0' python3 -m pip install --user -r test_requirements.txt CPPFLAGS='' CC=gcc-4.8 F77=gfortran-5 F90=gfortran-5 \ python3 runtests.py --debug-info --mode=full -- -rsx --junitxml=junit/test-results.xml diff --git a/doc/changelog/1.19.2-changelog.rst b/doc/changelog/1.19.2-changelog.rst new file mode 100644 index 000000000..47db1dd59 --- /dev/null +++ b/doc/changelog/1.19.2-changelog.rst @@ -0,0 +1,30 @@ + +Contributors +============ + +A total of 8 people contributed to this release. People with a "+" by their +names contributed a patch for the first time. + +* Charles Harris +* Matti Picus +* Pauli Virtanen +* Philippe Ombredanne + +* Sebastian Berg +* Stefan Behnel + +* Stephan Loyd + +* Zac Hatfield-Dodds + +Pull requests merged +==================== + +A total of 9 pull requests were merged for this release. + +* `#16959 <https://github.com/numpy/numpy/pull/16959>`__: TST: Change aarch64 to arm64 in travis.yml. +* `#16998 <https://github.com/numpy/numpy/pull/16998>`__: MAINT: Configure hypothesis in ``np.test()`` for determinism,... +* `#17000 <https://github.com/numpy/numpy/pull/17000>`__: BLD: pin setuptools < 49.2.0 +* `#17015 <https://github.com/numpy/numpy/pull/17015>`__: ENH: Add NumPy declarations to be used by Cython 3.0+ +* `#17125 <https://github.com/numpy/numpy/pull/17125>`__: BUG: Remove non-threadsafe sigint handling from fft calculation +* `#17243 <https://github.com/numpy/numpy/pull/17243>`__: BUG: core: fix ilp64 blas dot/vdot/... for strides > int32 max +* `#17244 <https://github.com/numpy/numpy/pull/17244>`__: DOC: Use SPDX license expressions with correct license +* `#17245 <https://github.com/numpy/numpy/pull/17245>`__: DOC: Fix the link to the quick-start in the old API functions +* `#17272 <https://github.com/numpy/numpy/pull/17272>`__: BUG: fix pickling of arrays larger than 2GiB diff --git a/doc/source/reference/random/legacy.rst b/doc/source/reference/random/legacy.rst index 91b91dac8..6cf4775b8 100644 --- a/doc/source/reference/random/legacy.rst +++ b/doc/source/reference/random/legacy.rst @@ -133,7 +133,7 @@ Many of the RandomState methods above are exported as functions in - It uses a `RandomState` rather than the more modern `Generator`. For backward compatible legacy reasons, we cannot change this. See -`random-quick-start`. +:ref:`random-quick-start`. .. autosummary:: :toctree: generated/ diff --git a/doc/source/release.rst b/doc/source/release.rst index 18e8b200d..a1d17d364 100644 --- a/doc/source/release.rst +++ b/doc/source/release.rst @@ -5,6 +5,7 @@ Release Notes .. toctree:: :maxdepth: 3 + 1.19.2 <release/1.19.2-notes> 1.19.1 <release/1.19.1-notes> 1.19.0 <release/1.19.0-notes> 1.18.4 <release/1.18.4-notes> diff --git a/doc/source/release/1.19.2-notes.rst b/doc/source/release/1.19.2-notes.rst new file mode 100644 index 000000000..1267d5eb1 --- /dev/null +++ b/doc/source/release/1.19.2-notes.rst @@ -0,0 +1,57 @@ +.. currentmodule:: numpy + +========================== +NumPy 1.19.2 Release Notes +========================== + +NumPy 1.19.2 fixes several bugs, prepares for the upcoming Cython 3.x release. +and pins setuptools to keep distutils working while upstream modifications are +ongoing. The aarch64 wheels are built with the latest manylinux2014 release +that fixes the problem of differing page sizes used by different linux distros. + +This release supports Python 3.6-3.8. Cython >= 0.29.21 needs to be used when +building with Python 3.9 for testing purposes. + +There is a known problem with Windows 10 version=2004 and OpenBLAS svd that we +are trying to debug. If you are running that Windows version you should use a +NumPy version that links to the MKL library, earlier Windows versions are fine. + +Improvements +============ + +Add NumPy declarations for Cython 3.0 and later +----------------------------------------------- +The pxd declarations for Cython 3.0 were improved to avoid using deprecated +NumPy C-API features. Extension modules built with Cython 3.0+ that use NumPy +can now set the C macro ``NPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION`` to avoid +C compiler warnings about deprecated API usage. + +Contributors +============ + +A total of 8 people contributed to this release. People with a "+" by their +names contributed a patch for the first time. + +* Charles Harris +* Matti Picus +* Pauli Virtanen +* Philippe Ombredanne + +* Sebastian Berg +* Stefan Behnel + +* Stephan Loyd + +* Zac Hatfield-Dodds + +Pull requests merged +==================== + +A total of 9 pull requests were merged for this release. + +* `#16959 <https://github.com/numpy/numpy/pull/16959>`__: TST: Change aarch64 to arm64 in travis.yml. +* `#16998 <https://github.com/numpy/numpy/pull/16998>`__: MAINT: Configure hypothesis in ``np.test()`` for determinism,... +* `#17000 <https://github.com/numpy/numpy/pull/17000>`__: BLD: pin setuptools < 49.2.0 +* `#17015 <https://github.com/numpy/numpy/pull/17015>`__: ENH: Add NumPy declarations to be used by Cython 3.0+ +* `#17125 <https://github.com/numpy/numpy/pull/17125>`__: BUG: Remove non-threadsafe sigint handling from fft calculation +* `#17243 <https://github.com/numpy/numpy/pull/17243>`__: BUG: core: fix ilp64 blas dot/vdot/... for strides > int32 max +* `#17244 <https://github.com/numpy/numpy/pull/17244>`__: DOC: Use SPDX license expressions with correct license +* `#17245 <https://github.com/numpy/numpy/pull/17245>`__: DOC: Fix the link to the quick-start in the old API functions +* `#17272 <https://github.com/numpy/numpy/pull/17272>`__: BUG: fix pickling of arrays larger than 2GiB diff --git a/numpy/__init__.cython-30.pxd b/numpy/__init__.cython-30.pxd new file mode 100644 index 000000000..55097888c --- /dev/null +++ b/numpy/__init__.cython-30.pxd @@ -0,0 +1,1032 @@ +# NumPy static imports for Cython >= 3.0 +# +# If any of the PyArray_* functions are called, import_array must be +# called first. This is done automatically by Cython 3.0+ if a call +# is not detected inside of the module. +# +# Author: Dag Sverre Seljebotn +# + +from cpython.ref cimport Py_INCREF +from cpython.object cimport PyObject, PyTypeObject, PyObject_TypeCheck +cimport libc.stdio as stdio + + +cdef extern from *: + # Leave a marker that the NumPy declarations came from NumPy itself and not from Cython. + # See https://github.com/cython/cython/issues/3573 + """ + /* Using NumPy API declarations from "numpy/__init__.cython-30.pxd" */ + """ + + +cdef extern from "Python.h": + ctypedef Py_ssize_t Py_intptr_t + +cdef extern from "numpy/arrayobject.h": + ctypedef Py_intptr_t npy_intp + ctypedef size_t npy_uintp + + cdef enum NPY_TYPES: + NPY_BOOL + NPY_BYTE + NPY_UBYTE + NPY_SHORT + NPY_USHORT + NPY_INT + NPY_UINT + NPY_LONG + NPY_ULONG + NPY_LONGLONG + NPY_ULONGLONG + NPY_FLOAT + NPY_DOUBLE + NPY_LONGDOUBLE + NPY_CFLOAT + NPY_CDOUBLE + NPY_CLONGDOUBLE + NPY_OBJECT + NPY_STRING + NPY_UNICODE + NPY_VOID + NPY_DATETIME + NPY_TIMEDELTA + NPY_NTYPES + NPY_NOTYPE + + NPY_INT8 + NPY_INT16 + NPY_INT32 + NPY_INT64 + NPY_INT128 + NPY_INT256 + NPY_UINT8 + NPY_UINT16 + NPY_UINT32 + NPY_UINT64 + NPY_UINT128 + NPY_UINT256 + NPY_FLOAT16 + NPY_FLOAT32 + NPY_FLOAT64 + NPY_FLOAT80 + NPY_FLOAT96 + NPY_FLOAT128 + NPY_FLOAT256 + NPY_COMPLEX32 + NPY_COMPLEX64 + NPY_COMPLEX128 + NPY_COMPLEX160 + NPY_COMPLEX192 + NPY_COMPLEX256 + NPY_COMPLEX512 + + NPY_INTP + + ctypedef enum NPY_ORDER: + NPY_ANYORDER + NPY_CORDER + NPY_FORTRANORDER + NPY_KEEPORDER + + ctypedef enum NPY_CASTING: + NPY_NO_CASTING + NPY_EQUIV_CASTING + NPY_SAFE_CASTING + NPY_SAME_KIND_CASTING + NPY_UNSAFE_CASTING + + ctypedef enum NPY_CLIPMODE: + NPY_CLIP + NPY_WRAP + NPY_RAISE + + ctypedef enum NPY_SCALARKIND: + NPY_NOSCALAR, + NPY_BOOL_SCALAR, + NPY_INTPOS_SCALAR, + NPY_INTNEG_SCALAR, + NPY_FLOAT_SCALAR, + NPY_COMPLEX_SCALAR, + NPY_OBJECT_SCALAR + + ctypedef enum NPY_SORTKIND: + NPY_QUICKSORT + NPY_HEAPSORT + NPY_MERGESORT + + ctypedef enum NPY_SEARCHSIDE: + NPY_SEARCHLEFT + NPY_SEARCHRIGHT + + enum: + # DEPRECATED since NumPy 1.7 ! Do not use in new code! + NPY_C_CONTIGUOUS + NPY_F_CONTIGUOUS + NPY_CONTIGUOUS + NPY_FORTRAN + NPY_OWNDATA + NPY_FORCECAST + NPY_ENSURECOPY + NPY_ENSUREARRAY + NPY_ELEMENTSTRIDES + NPY_ALIGNED + NPY_NOTSWAPPED + NPY_WRITEABLE + NPY_UPDATEIFCOPY + NPY_ARR_HAS_DESCR + + NPY_BEHAVED + NPY_BEHAVED_NS + NPY_CARRAY + NPY_CARRAY_RO + NPY_FARRAY + NPY_FARRAY_RO + NPY_DEFAULT + + NPY_IN_ARRAY + NPY_OUT_ARRAY + NPY_INOUT_ARRAY + NPY_IN_FARRAY + NPY_OUT_FARRAY + NPY_INOUT_FARRAY + + NPY_UPDATE_ALL + + enum: + # Added in NumPy 1.7 to replace the deprecated enums above. + NPY_ARRAY_C_CONTIGUOUS + NPY_ARRAY_F_CONTIGUOUS + NPY_ARRAY_OWNDATA + NPY_ARRAY_FORCECAST + NPY_ARRAY_ENSURECOPY + NPY_ARRAY_ENSUREARRAY + NPY_ARRAY_ELEMENTSTRIDES + NPY_ARRAY_ALIGNED + NPY_ARRAY_NOTSWAPPED + NPY_ARRAY_WRITEABLE + NPY_ARRAY_UPDATEIFCOPY + + NPY_ARRAY_BEHAVED + NPY_ARRAY_BEHAVED_NS + NPY_ARRAY_CARRAY + NPY_ARRAY_CARRAY_RO + NPY_ARRAY_FARRAY + NPY_ARRAY_FARRAY_RO + NPY_ARRAY_DEFAULT + + NPY_ARRAY_IN_ARRAY + NPY_ARRAY_OUT_ARRAY + NPY_ARRAY_INOUT_ARRAY + NPY_ARRAY_IN_FARRAY + NPY_ARRAY_OUT_FARRAY + NPY_ARRAY_INOUT_FARRAY + + NPY_ARRAY_UPDATE_ALL + + cdef enum: + NPY_MAXDIMS + + npy_intp NPY_MAX_ELSIZE + + ctypedef void (*PyArray_VectorUnaryFunc)(void *, void *, npy_intp, void *, void *) + + ctypedef struct PyArray_ArrayDescr: + # shape is a tuple, but Cython doesn't support "tuple shape" + # inside a non-PyObject declaration, so we have to declare it + # as just a PyObject*. + PyObject* shape + + ctypedef struct PyArray_Descr: + pass + + ctypedef class numpy.dtype [object PyArray_Descr, check_size ignore]: + # Use PyDataType_* macros when possible, however there are no macros + # for accessing some of the fields, so some are defined. + cdef PyTypeObject* typeobj + cdef char kind + cdef char type + # Numpy sometimes mutates this without warning (e.g. it'll + # sometimes change "|" to "<" in shared dtype objects on + # little-endian machines). If this matters to you, use + # PyArray_IsNativeByteOrder(dtype.byteorder) instead of + # directly accessing this field. + cdef char byteorder + cdef char flags + cdef int type_num + cdef int itemsize "elsize" + cdef int alignment + cdef object fields + cdef tuple names + # Use PyDataType_HASSUBARRAY to test whether this field is + # valid (the pointer can be NULL). Most users should access + # this field via the inline helper method PyDataType_SHAPE. + cdef PyArray_ArrayDescr* subarray + + ctypedef class numpy.flatiter [object PyArrayIterObject, check_size ignore]: + # Use through macros + pass + + ctypedef class numpy.broadcast [object PyArrayMultiIterObject, check_size ignore]: + # Use through macros + pass + + ctypedef struct PyArrayObject: + # For use in situations where ndarray can't replace PyArrayObject*, + # like PyArrayObject**. + pass + + ctypedef class numpy.ndarray [object PyArrayObject, check_size ignore]: + cdef __cythonbufferdefaults__ = {"mode": "strided"} + + # NOTE: no field declarations since direct access is deprecated since NumPy 1.7 + # Instead, we use properties that map to the corresponding C-API functions. + + @property + cdef inline PyObject* base(self) nogil: + """Returns a borrowed reference to the object owning the data/memory. + """ + return PyArray_BASE(self) + + @property + cdef inline dtype descr(self): + """Returns an owned reference to the dtype of the array. + """ + return <dtype>PyArray_DESCR(self) + + @property + cdef inline int ndim(self) nogil: + """Returns the number of dimensions in the array. + """ + return PyArray_NDIM(self) + + @property + cdef inline npy_intp *shape(self) nogil: + """Returns a pointer to the dimensions/shape of the array. + The number of elements matches the number of dimensions of the array (ndim). + Can return NULL for 0-dimensional arrays. + """ + return PyArray_DIMS(self) + + @property + cdef inline npy_intp *strides(self) nogil: + """Returns a pointer to the strides of the array. + The number of elements matches the number of dimensions of the array (ndim). + """ + return PyArray_STRIDES(self) + + @property + cdef inline npy_intp size(self) nogil: + """Returns the total size (in number of elements) of the array. + """ + return PyArray_SIZE(self) + + @property + cdef inline char* data(self) nogil: + """The pointer to the data buffer as a char*. + This is provided for legacy reasons to avoid direct struct field access. + For new code that needs this access, you probably want to cast the result + of `PyArray_DATA()` instead, which returns a 'void*'. + """ + return PyArray_BYTES(self) + + ctypedef unsigned char npy_bool + + ctypedef signed char npy_byte + ctypedef signed short npy_short + ctypedef signed int npy_int + ctypedef signed long npy_long + ctypedef signed long long npy_longlong + + ctypedef unsigned char npy_ubyte + ctypedef unsigned short npy_ushort + ctypedef unsigned int npy_uint + ctypedef unsigned long npy_ulong + ctypedef unsigned long long npy_ulonglong + + ctypedef float npy_float + ctypedef double npy_double + ctypedef long double npy_longdouble + + ctypedef signed char npy_int8 + ctypedef signed short npy_int16 + ctypedef signed int npy_int32 + ctypedef signed long long npy_int64 + ctypedef signed long long npy_int96 + ctypedef signed long long npy_int128 + + ctypedef unsigned char npy_uint8 + ctypedef unsigned short npy_uint16 + ctypedef unsigned int npy_uint32 + ctypedef unsigned long long npy_uint64 + ctypedef unsigned long long npy_uint96 + ctypedef unsigned long long npy_uint128 + + ctypedef float npy_float32 + ctypedef double npy_float64 + ctypedef long double npy_float80 + ctypedef long double npy_float96 + ctypedef long double npy_float128 + + ctypedef struct npy_cfloat: + double real + double imag + + ctypedef struct npy_cdouble: + double real + double imag + + ctypedef struct npy_clongdouble: + long double real + long double imag + + ctypedef struct npy_complex64: + float real + float imag + + ctypedef struct npy_complex128: + double real + double imag + + ctypedef struct npy_complex160: + long double real + long double imag + + ctypedef struct npy_complex192: + long double real + long double imag + + ctypedef struct npy_complex256: + long double real + long double imag + + ctypedef struct PyArray_Dims: + npy_intp *ptr + int len + + int _import_array() except -1 + # A second definition so _import_array isn't marked as used when we use it here. + # Do not use - subject to change any time. + int __pyx_import_array "_import_array"() except -1 + + # + # Macros from ndarrayobject.h + # + bint PyArray_CHKFLAGS(ndarray m, int flags) nogil + bint PyArray_IS_C_CONTIGUOUS(ndarray arr) nogil + bint PyArray_IS_F_CONTIGUOUS(ndarray arr) nogil + bint PyArray_ISCONTIGUOUS(ndarray m) nogil + bint PyArray_ISWRITEABLE(ndarray m) nogil + bint PyArray_ISALIGNED(ndarray m) nogil + + int PyArray_NDIM(ndarray) nogil + bint PyArray_ISONESEGMENT(ndarray) nogil + bint PyArray_ISFORTRAN(ndarray) nogil + int PyArray_FORTRANIF(ndarray) nogil + + void* PyArray_DATA(ndarray) nogil + char* PyArray_BYTES(ndarray) nogil + + npy_intp* PyArray_DIMS(ndarray) nogil + npy_intp* PyArray_STRIDES(ndarray) nogil + npy_intp PyArray_DIM(ndarray, size_t) nogil + npy_intp PyArray_STRIDE(ndarray, size_t) nogil + + PyObject *PyArray_BASE(ndarray) nogil # returns borrowed reference! + PyArray_Descr *PyArray_DESCR(ndarray) nogil # returns borrowed reference to dtype! + PyArray_Descr *PyArray_DTYPE(ndarray) nogil # returns borrowed reference to dtype! NP 1.7+ alias for descr. + int PyArray_FLAGS(ndarray) nogil + void PyArray_CLEARFLAGS(ndarray, int flags) nogil # Added in NumPy 1.7 + void PyArray_ENABLEFLAGS(ndarray, int flags) nogil # Added in NumPy 1.7 + npy_intp PyArray_ITEMSIZE(ndarray) nogil + int PyArray_TYPE(ndarray arr) nogil + + object PyArray_GETITEM(ndarray arr, void *itemptr) + int PyArray_SETITEM(ndarray arr, void *itemptr, object obj) + + bint PyTypeNum_ISBOOL(int) nogil + bint PyTypeNum_ISUNSIGNED(int) nogil + bint PyTypeNum_ISSIGNED(int) nogil + bint PyTypeNum_ISINTEGER(int) nogil + bint PyTypeNum_ISFLOAT(int) nogil + bint PyTypeNum_ISNUMBER(int) nogil + bint PyTypeNum_ISSTRING(int) nogil + bint PyTypeNum_ISCOMPLEX(int) nogil + bint PyTypeNum_ISPYTHON(int) nogil + bint PyTypeNum_ISFLEXIBLE(int) nogil + bint PyTypeNum_ISUSERDEF(int) nogil + bint PyTypeNum_ISEXTENDED(int) nogil + bint PyTypeNum_ISOBJECT(int) nogil + + bint PyDataType_ISBOOL(dtype) nogil + bint PyDataType_ISUNSIGNED(dtype) nogil + bint PyDataType_ISSIGNED(dtype) nogil + bint PyDataType_ISINTEGER(dtype) nogil + bint PyDataType_ISFLOAT(dtype) nogil + bint PyDataType_ISNUMBER(dtype) nogil + bint PyDataType_ISSTRING(dtype) nogil + bint PyDataType_ISCOMPLEX(dtype) nogil + bint PyDataType_ISPYTHON(dtype) nogil + bint PyDataType_ISFLEXIBLE(dtype) nogil + bint PyDataType_ISUSERDEF(dtype) nogil + bint PyDataType_ISEXTENDED(dtype) nogil + bint PyDataType_ISOBJECT(dtype) nogil + bint PyDataType_HASFIELDS(dtype) nogil + bint PyDataType_HASSUBARRAY(dtype) nogil + + bint PyArray_ISBOOL(ndarray) nogil + bint PyArray_ISUNSIGNED(ndarray) nogil + bint PyArray_ISSIGNED(ndarray) nogil + bint PyArray_ISINTEGER(ndarray) nogil + bint PyArray_ISFLOAT(ndarray) nogil + bint PyArray_ISNUMBER(ndarray) nogil + bint PyArray_ISSTRING(ndarray) nogil + bint PyArray_ISCOMPLEX(ndarray) nogil + bint PyArray_ISPYTHON(ndarray) nogil + bint PyArray_ISFLEXIBLE(ndarray) nogil + bint PyArray_ISUSERDEF(ndarray) nogil + bint PyArray_ISEXTENDED(ndarray) nogil + bint PyArray_ISOBJECT(ndarray) nogil + bint PyArray_HASFIELDS(ndarray) nogil + + bint PyArray_ISVARIABLE(ndarray) nogil + + bint PyArray_SAFEALIGNEDCOPY(ndarray) nogil + bint PyArray_ISNBO(char) nogil # works on ndarray.byteorder + bint PyArray_IsNativeByteOrder(char) nogil # works on ndarray.byteorder + bint PyArray_ISNOTSWAPPED(ndarray) nogil + bint PyArray_ISBYTESWAPPED(ndarray) nogil + + bint PyArray_FLAGSWAP(ndarray, int) nogil + + bint PyArray_ISCARRAY(ndarray) nogil + bint PyArray_ISCARRAY_RO(ndarray) nogil + bint PyArray_ISFARRAY(ndarray) nogil + bint PyArray_ISFARRAY_RO(ndarray) nogil + bint PyArray_ISBEHAVED(ndarray) nogil + bint PyArray_ISBEHAVED_RO(ndarray) nogil + + + bint PyDataType_ISNOTSWAPPED(dtype) nogil + bint PyDataType_ISBYTESWAPPED(dtype) nogil + + bint PyArray_DescrCheck(object) + + bint PyArray_Check(object) + bint PyArray_CheckExact(object) + + # Cannot be supported due to out arg: + # bint PyArray_HasArrayInterfaceType(object, dtype, object, object&) + # bint PyArray_HasArrayInterface(op, out) + + + bint PyArray_IsZeroDim(object) + # Cannot be supported due to ## ## in macro: + # bint PyArray_IsScalar(object, verbatim work) + bint PyArray_CheckScalar(object) + bint PyArray_IsPythonNumber(object) + bint PyArray_IsPythonScalar(object) + bint PyArray_IsAnyScalar(object) + bint PyArray_CheckAnyScalar(object) + + ndarray PyArray_GETCONTIGUOUS(ndarray) + bint PyArray_SAMESHAPE(ndarray, ndarray) nogil + npy_intp PyArray_SIZE(ndarray) nogil + npy_intp PyArray_NBYTES(ndarray) nogil + + object PyArray_FROM_O(object) + object PyArray_FROM_OF(object m, int flags) + object PyArray_FROM_OT(object m, int type) + object PyArray_FROM_OTF(object m, int type, int flags) + object PyArray_FROMANY(object m, int type, int min, int max, int flags) + object PyArray_ZEROS(int nd, npy_intp* dims, int type, int fortran) + object PyArray_EMPTY(int nd, npy_intp* dims, int type, int fortran) + void PyArray_FILLWBYTE(object, int val) + npy_intp PyArray_REFCOUNT(object) + object PyArray_ContiguousFromAny(op, int, int min_depth, int max_depth) + unsigned char PyArray_EquivArrTypes(ndarray a1, ndarray a2) + bint PyArray_EquivByteorders(int b1, int b2) nogil + object PyArray_SimpleNew(int nd, npy_intp* dims, int typenum) + object PyArray_SimpleNewFromData(int nd, npy_intp* dims, int typenum, void* data) + #object PyArray_SimpleNewFromDescr(int nd, npy_intp* dims, dtype descr) + object PyArray_ToScalar(void* data, ndarray arr) + + void* PyArray_GETPTR1(ndarray m, npy_intp i) nogil + void* PyArray_GETPTR2(ndarray m, npy_intp i, npy_intp j) nogil + void* PyArray_GETPTR3(ndarray m, npy_intp i, npy_intp j, npy_intp k) nogil + void* PyArray_GETPTR4(ndarray m, npy_intp i, npy_intp j, npy_intp k, npy_intp l) nogil + + void PyArray_XDECREF_ERR(ndarray) + # Cannot be supported due to out arg + # void PyArray_DESCR_REPLACE(descr) + + + object PyArray_Copy(ndarray) + object PyArray_FromObject(object op, int type, int min_depth, int max_depth) + object PyArray_ContiguousFromObject(object op, int type, int min_depth, int max_depth) + object PyArray_CopyFromObject(object op, int type, int min_depth, int max_depth) + + object PyArray_Cast(ndarray mp, int type_num) + object PyArray_Take(ndarray ap, object items, int axis) + object PyArray_Put(ndarray ap, object items, object values) + + void PyArray_ITER_RESET(flatiter it) nogil + void PyArray_ITER_NEXT(flatiter it) nogil + void PyArray_ITER_GOTO(flatiter it, npy_intp* destination) nogil + void PyArray_ITER_GOTO1D(flatiter it, npy_intp ind) nogil + void* PyArray_ITER_DATA(flatiter it) nogil + bint PyArray_ITER_NOTDONE(flatiter it) nogil + + void PyArray_MultiIter_RESET(broadcast multi) nogil + void PyArray_MultiIter_NEXT(broadcast multi) nogil + void PyArray_MultiIter_GOTO(broadcast multi, npy_intp dest) nogil + void PyArray_MultiIter_GOTO1D(broadcast multi, npy_intp ind) nogil + void* PyArray_MultiIter_DATA(broadcast multi, npy_intp i) nogil + void PyArray_MultiIter_NEXTi(broadcast multi, npy_intp i) nogil + bint PyArray_MultiIter_NOTDONE(broadcast multi) nogil + + # Functions from __multiarray_api.h + + # Functions taking dtype and returning object/ndarray are disabled + # for now as they steal dtype references. I'm conservative and disable + # more than is probably needed until it can be checked further. + int PyArray_SetNumericOps (object) + object PyArray_GetNumericOps () + int PyArray_INCREF (ndarray) + int PyArray_XDECREF (ndarray) + void PyArray_SetStringFunction (object, int) + dtype PyArray_DescrFromType (int) + object PyArray_TypeObjectFromType (int) + char * PyArray_Zero (ndarray) + char * PyArray_One (ndarray) + #object PyArray_CastToType (ndarray, dtype, int) + int PyArray_CastTo (ndarray, ndarray) + int PyArray_CastAnyTo (ndarray, ndarray) + int PyArray_CanCastSafely (int, int) + npy_bool PyArray_CanCastTo (dtype, dtype) + int PyArray_ObjectType (object, int) + dtype PyArray_DescrFromObject (object, dtype) + #ndarray* PyArray_ConvertToCommonType (object, int *) + dtype PyArray_DescrFromScalar (object) + dtype PyArray_DescrFromTypeObject (object) + npy_intp PyArray_Size (object) + #object PyArray_Scalar (void *, dtype, object) + #object PyArray_FromScalar (object, dtype) + void PyArray_ScalarAsCtype (object, void *) + #int PyArray_CastScalarToCtype (object, void *, dtype) + #int PyArray_CastScalarDirect (object, dtype, void *, int) + object PyArray_ScalarFromObject (object) + #PyArray_VectorUnaryFunc * PyArray_GetCastFunc (dtype, int) + object PyArray_FromDims (int, int *, int) + #object PyArray_FromDimsAndDataAndDescr (int, int *, dtype, char *) + #object PyArray_FromAny (object, dtype, int, int, int, object) + object PyArray_EnsureArray (object) + object PyArray_EnsureAnyArray (object) + #object PyArray_FromFile (stdio.FILE *, dtype, npy_intp, char *) + #object PyArray_FromString (char *, npy_intp, dtype, npy_intp, char *) + #object PyArray_FromBuffer (object, dtype, npy_intp, npy_intp) + #object PyArray_FromIter (object, dtype, npy_intp) + object PyArray_Return (ndarray) + #object PyArray_GetField (ndarray, dtype, int) + #int PyArray_SetField (ndarray, dtype, int, object) + object PyArray_Byteswap (ndarray, npy_bool) + object PyArray_Resize (ndarray, PyArray_Dims *, int, NPY_ORDER) + int PyArray_MoveInto (ndarray, ndarray) + int PyArray_CopyInto (ndarray, ndarray) + int PyArray_CopyAnyInto (ndarray, ndarray) + int PyArray_CopyObject (ndarray, object) + object PyArray_NewCopy (ndarray, NPY_ORDER) + object PyArray_ToList (ndarray) + object PyArray_ToString (ndarray, NPY_ORDER) + int PyArray_ToFile (ndarray, stdio.FILE *, char *, char *) + int PyArray_Dump (object, object, int) + object PyArray_Dumps (object, int) + int PyArray_ValidType (int) + void PyArray_UpdateFlags (ndarray, int) + object PyArray_New (type, int, npy_intp *, int, npy_intp *, void *, int, int, object) + #object PyArray_NewFromDescr (type, dtype, int, npy_intp *, npy_intp *, void *, int, object) + #dtype PyArray_DescrNew (dtype) + dtype PyArray_DescrNewFromType (int) + double PyArray_GetPriority (object, double) + object PyArray_IterNew (object) + object PyArray_MultiIterNew (int, ...) + + int PyArray_PyIntAsInt (object) + npy_intp PyArray_PyIntAsIntp (object) + int PyArray_Broadcast (broadcast) + void PyArray_FillObjectArray (ndarray, object) + int PyArray_FillWithScalar (ndarray, object) + npy_bool PyArray_CheckStrides (int, int, npy_intp, npy_intp, npy_intp *, npy_intp *) + dtype PyArray_DescrNewByteorder (dtype, char) + object PyArray_IterAllButAxis (object, int *) + #object PyArray_CheckFromAny (object, dtype, int, int, int, object) + #object PyArray_FromArray (ndarray, dtype, int) + object PyArray_FromInterface (object) + object PyArray_FromStructInterface (object) + #object PyArray_FromArrayAttr (object, dtype, object) + #NPY_SCALARKIND PyArray_ScalarKind (int, ndarray*) + int PyArray_CanCoerceScalar (int, int, NPY_SCALARKIND) + object PyArray_NewFlagsObject (object) + npy_bool PyArray_CanCastScalar (type, type) + #int PyArray_CompareUCS4 (npy_ucs4 *, npy_ucs4 *, register size_t) + int PyArray_RemoveSmallest (broadcast) + int PyArray_ElementStrides (object) + void PyArray_Item_INCREF (char *, dtype) + void PyArray_Item_XDECREF (char *, dtype) + object PyArray_FieldNames (object) + object PyArray_Transpose (ndarray, PyArray_Dims *) + object PyArray_TakeFrom (ndarray, object, int, ndarray, NPY_CLIPMODE) + object PyArray_PutTo (ndarray, object, object, NPY_CLIPMODE) + object PyArray_PutMask (ndarray, object, object) + object PyArray_Repeat (ndarray, object, int) + object PyArray_Choose (ndarray, object, ndarray, NPY_CLIPMODE) + int PyArray_Sort (ndarray, int, NPY_SORTKIND) + object PyArray_ArgSort (ndarray, int, NPY_SORTKIND) + object PyArray_SearchSorted (ndarray, object, NPY_SEARCHSIDE, PyObject *) + object PyArray_ArgMax (ndarray, int, ndarray) + object PyArray_ArgMin (ndarray, int, ndarray) + object PyArray_Reshape (ndarray, object) + object PyArray_Newshape (ndarray, PyArray_Dims *, NPY_ORDER) + object PyArray_Squeeze (ndarray) + #object PyArray_View (ndarray, dtype, type) + object PyArray_SwapAxes (ndarray, int, int) + object PyArray_Max (ndarray, int, ndarray) + object PyArray_Min (ndarray, int, ndarray) + object PyArray_Ptp (ndarray, int, ndarray) + object PyArray_Mean (ndarray, int, int, ndarray) + object PyArray_Trace (ndarray, int, int, int, int, ndarray) + object PyArray_Diagonal (ndarray, int, int, int) + object PyArray_Clip (ndarray, object, object, ndarray) + object PyArray_Conjugate (ndarray, ndarray) + object PyArray_Nonzero (ndarray) + object PyArray_Std (ndarray, int, int, ndarray, int) + object PyArray_Sum (ndarray, int, int, ndarray) + object PyArray_CumSum (ndarray, int, int, ndarray) + object PyArray_Prod (ndarray, int, int, ndarray) + object PyArray_CumProd (ndarray, int, int, ndarray) + object PyArray_All (ndarray, int, ndarray) + object PyArray_Any (ndarray, int, ndarray) + object PyArray_Compress (ndarray, object, int, ndarray) + object PyArray_Flatten (ndarray, NPY_ORDER) + object PyArray_Ravel (ndarray, NPY_ORDER) + npy_intp PyArray_MultiplyList (npy_intp *, int) + int PyArray_MultiplyIntList (int *, int) + void * PyArray_GetPtr (ndarray, npy_intp*) + int PyArray_CompareLists (npy_intp *, npy_intp *, int) + #int PyArray_AsCArray (object*, void *, npy_intp *, int, dtype) + #int PyArray_As1D (object*, char **, int *, int) + #int PyArray_As2D (object*, char ***, int *, int *, int) + int PyArray_Free (object, void *) + #int PyArray_Converter (object, object*) + int PyArray_IntpFromSequence (object, npy_intp *, int) + object PyArray_Concatenate (object, int) + object PyArray_InnerProduct (object, object) + object PyArray_MatrixProduct (object, object) + object PyArray_CopyAndTranspose (object) + object PyArray_Correlate (object, object, int) + int PyArray_TypestrConvert (int, int) + #int PyArray_DescrConverter (object, dtype*) + #int PyArray_DescrConverter2 (object, dtype*) + int PyArray_IntpConverter (object, PyArray_Dims *) + #int PyArray_BufferConverter (object, chunk) + int PyArray_AxisConverter (object, int *) + int PyArray_BoolConverter (object, npy_bool *) + int PyArray_ByteorderConverter (object, char *) + int PyArray_OrderConverter (object, NPY_ORDER *) + unsigned char PyArray_EquivTypes (dtype, dtype) + #object PyArray_Zeros (int, npy_intp *, dtype, int) + #object PyArray_Empty (int, npy_intp *, dtype, int) + object PyArray_Where (object, object, object) + object PyArray_Arange (double, double, double, int) + #object PyArray_ArangeObj (object, object, object, dtype) + int PyArray_SortkindConverter (object, NPY_SORTKIND *) + object PyArray_LexSort (object, int) + object PyArray_Round (ndarray, int, ndarray) + unsigned char PyArray_EquivTypenums (int, int) + int PyArray_RegisterDataType (dtype) + int PyArray_RegisterCastFunc (dtype, int, PyArray_VectorUnaryFunc *) + int PyArray_RegisterCanCast (dtype, int, NPY_SCALARKIND) + #void PyArray_InitArrFuncs (PyArray_ArrFuncs *) + object PyArray_IntTupleFromIntp (int, npy_intp *) + int PyArray_TypeNumFromName (char *) + int PyArray_ClipmodeConverter (object, NPY_CLIPMODE *) + #int PyArray_OutputConverter (object, ndarray*) + object PyArray_BroadcastToShape (object, npy_intp *, int) + void _PyArray_SigintHandler (int) + void* _PyArray_GetSigintBuf () + #int PyArray_DescrAlignConverter (object, dtype*) + #int PyArray_DescrAlignConverter2 (object, dtype*) + int PyArray_SearchsideConverter (object, void *) + object PyArray_CheckAxis (ndarray, int *, int) + npy_intp PyArray_OverflowMultiplyList (npy_intp *, int) + int PyArray_CompareString (char *, char *, size_t) + int PyArray_SetBaseObject(ndarray, base) # NOTE: steals a reference to base! Use "set_array_base()" instead. + + +# Typedefs that matches the runtime dtype objects in +# the numpy module. + +# The ones that are commented out needs an IFDEF function +# in Cython to enable them only on the right systems. + +ctypedef npy_int8 int8_t +ctypedef npy_int16 int16_t +ctypedef npy_int32 int32_t +ctypedef npy_int64 int64_t +#ctypedef npy_int96 int96_t +#ctypedef npy_int128 int128_t + +ctypedef npy_uint8 uint8_t +ctypedef npy_uint16 uint16_t +ctypedef npy_uint32 uint32_t +ctypedef npy_uint64 uint64_t +#ctypedef npy_uint96 uint96_t +#ctypedef npy_uint128 uint128_t + +ctypedef npy_float32 float32_t +ctypedef npy_float64 float64_t +#ctypedef npy_float80 float80_t +#ctypedef npy_float128 float128_t + +ctypedef float complex complex64_t +ctypedef double complex complex128_t + +# The int types are mapped a bit surprising -- +# numpy.int corresponds to 'l' and numpy.long to 'q' +ctypedef npy_long int_t +ctypedef npy_longlong long_t +ctypedef npy_longlong longlong_t + +ctypedef npy_ulong uint_t +ctypedef npy_ulonglong ulong_t +ctypedef npy_ulonglong ulonglong_t + +ctypedef npy_intp intp_t +ctypedef npy_uintp uintp_t + +ctypedef npy_double float_t +ctypedef npy_double double_t +ctypedef npy_longdouble longdouble_t + +ctypedef npy_cfloat cfloat_t +ctypedef npy_cdouble cdouble_t +ctypedef npy_clongdouble clongdouble_t + +ctypedef npy_cdouble complex_t + +cdef inline object PyArray_MultiIterNew1(a): + return PyArray_MultiIterNew(1, <void*>a) + +cdef inline object PyArray_MultiIterNew2(a, b): + return PyArray_MultiIterNew(2, <void*>a, <void*>b) + +cdef inline object PyArray_MultiIterNew3(a, b, c): + return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c) + +cdef inline object PyArray_MultiIterNew4(a, b, c, d): + return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d) + +cdef inline object PyArray_MultiIterNew5(a, b, c, d, e): + return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e) + +cdef inline tuple PyDataType_SHAPE(dtype d): + if PyDataType_HASSUBARRAY(d): + return <tuple>d.subarray.shape + else: + return () + + +cdef extern from "numpy/ndarrayobject.h": + PyTypeObject PyTimedeltaArrType_Type + PyTypeObject PyDatetimeArrType_Type + ctypedef int64_t npy_timedelta + ctypedef int64_t npy_datetime + +cdef extern from "numpy/ndarraytypes.h": + ctypedef struct PyArray_DatetimeMetaData: + NPY_DATETIMEUNIT base + int64_t num + +cdef extern from "numpy/arrayscalars.h": + ctypedef struct PyDatetimeScalarObject: + # PyObject_HEAD + npy_datetime obval + PyArray_DatetimeMetaData obmeta + + ctypedef struct PyTimedeltaScalarObject: + # PyObject_HEAD + npy_timedelta obval + PyArray_DatetimeMetaData obmeta + + ctypedef enum NPY_DATETIMEUNIT: + NPY_FR_Y + NPY_FR_M + NPY_FR_W + NPY_FR_D + NPY_FR_B + NPY_FR_h + NPY_FR_m + NPY_FR_s + NPY_FR_ms + NPY_FR_us + NPY_FR_ns + NPY_FR_ps + NPY_FR_fs + NPY_FR_as + + +# +# ufunc API +# + +cdef extern from "numpy/ufuncobject.h": + + ctypedef void (*PyUFuncGenericFunction) (char **, npy_intp *, npy_intp *, void *) + + ctypedef class numpy.ufunc [object PyUFuncObject, check_size ignore]: + cdef: + int nin, nout, nargs + int identity + PyUFuncGenericFunction *functions + void **data + int ntypes + int check_return + char *name + char *types + char *doc + void *ptr + PyObject *obj + PyObject *userloops + + cdef enum: + PyUFunc_Zero + PyUFunc_One + PyUFunc_None + UFUNC_ERR_IGNORE + UFUNC_ERR_WARN + UFUNC_ERR_RAISE + UFUNC_ERR_CALL + UFUNC_ERR_PRINT + UFUNC_ERR_LOG + UFUNC_MASK_DIVIDEBYZERO + UFUNC_MASK_OVERFLOW + UFUNC_MASK_UNDERFLOW + UFUNC_MASK_INVALID + UFUNC_SHIFT_DIVIDEBYZERO + UFUNC_SHIFT_OVERFLOW + UFUNC_SHIFT_UNDERFLOW + UFUNC_SHIFT_INVALID + UFUNC_FPE_DIVIDEBYZERO + UFUNC_FPE_OVERFLOW + UFUNC_FPE_UNDERFLOW + UFUNC_FPE_INVALID + UFUNC_ERR_DEFAULT + UFUNC_ERR_DEFAULT2 + + object PyUFunc_FromFuncAndData(PyUFuncGenericFunction *, + void **, char *, int, int, int, int, char *, char *, int) + int PyUFunc_RegisterLoopForType(ufunc, int, + PyUFuncGenericFunction, int *, void *) + int PyUFunc_GenericFunction \ + (ufunc, PyObject *, PyObject *, PyArrayObject **) + void PyUFunc_f_f_As_d_d \ + (char **, npy_intp *, npy_intp *, void *) + void PyUFunc_d_d \ + (char **, npy_intp *, npy_intp *, void *) + void PyUFunc_f_f \ + (char **, npy_intp *, npy_intp *, void *) + void PyUFunc_g_g \ + (char **, npy_intp *, npy_intp *, void *) + void PyUFunc_F_F_As_D_D \ + (char **, npy_intp *, npy_intp *, void *) + void PyUFunc_F_F \ + (char **, npy_intp *, npy_intp *, void *) + void PyUFunc_D_D \ + (char **, npy_intp *, npy_intp *, void *) + void PyUFunc_G_G \ + (char **, npy_intp *, npy_intp *, void *) + void PyUFunc_O_O \ + (char **, npy_intp *, npy_intp *, void *) + void PyUFunc_ff_f_As_dd_d \ + (char **, npy_intp *, npy_intp *, void *) + void PyUFunc_ff_f \ + (char **, npy_intp *, npy_intp *, void *) + void PyUFunc_dd_d \ + (char **, npy_intp *, npy_intp *, void *) + void PyUFunc_gg_g \ + (char **, npy_intp *, npy_intp *, void *) + void PyUFunc_FF_F_As_DD_D \ + (char **, npy_intp *, npy_intp *, void *) + void PyUFunc_DD_D \ + (char **, npy_intp *, npy_intp *, void *) + void PyUFunc_FF_F \ + (char **, npy_intp *, npy_intp *, void *) + void PyUFunc_GG_G \ + (char **, npy_intp *, npy_intp *, void *) + void PyUFunc_OO_O \ + (char **, npy_intp *, npy_intp *, void *) + void PyUFunc_O_O_method \ + (char **, npy_intp *, npy_intp *, void *) + void PyUFunc_OO_O_method \ + (char **, npy_intp *, npy_intp *, void *) + void PyUFunc_On_Om \ + (char **, npy_intp *, npy_intp *, void *) + int PyUFunc_GetPyValues \ + (char *, int *, int *, PyObject **) + int PyUFunc_checkfperr \ + (int, PyObject *, int *) + void PyUFunc_clearfperr() + int PyUFunc_getfperr() + int PyUFunc_handlefperr \ + (int, PyObject *, int, int *) + int PyUFunc_ReplaceLoopBySignature \ + (ufunc, PyUFuncGenericFunction, int *, PyUFuncGenericFunction *) + object PyUFunc_FromFuncAndDataAndSignature \ + (PyUFuncGenericFunction *, void **, char *, int, int, int, + int, char *, char *, int, char *) + + int _import_umath() except -1 + +cdef inline void set_array_base(ndarray arr, object base): + Py_INCREF(base) # important to do this before stealing the reference below! + PyArray_SetBaseObject(arr, base) + +cdef inline object get_array_base(ndarray arr): + base = PyArray_BASE(arr) + if base is NULL: + return None + return <object>base + +# Versions of the import_* functions which are more suitable for +# Cython code. +cdef inline int import_array() except -1: + try: + __pyx_import_array() + except Exception: + raise ImportError("numpy.core.multiarray failed to import") + +cdef inline int import_umath() except -1: + try: + _import_umath() + except Exception: + raise ImportError("numpy.core.umath failed to import") + +cdef inline int import_ufunc() except -1: + try: + _import_umath() + except Exception: + raise ImportError("numpy.core.umath failed to import") + + +cdef inline bint is_timedelta64_object(object obj): + """ + Cython equivalent of `isinstance(obj, np.timedelta64)` + + Parameters + ---------- + obj : object + + Returns + ------- + bool + """ + return PyObject_TypeCheck(obj, &PyTimedeltaArrType_Type) + + +cdef inline bint is_datetime64_object(object obj): + """ + Cython equivalent of `isinstance(obj, np.datetime64)` + + Parameters + ---------- + obj : object + + Returns + ------- + bool + """ + return PyObject_TypeCheck(obj, &PyDatetimeArrType_Type) + + +cdef inline npy_datetime get_datetime64_value(object obj) nogil: + """ + returns the int64 value underlying scalar numpy datetime64 object + + Note that to interpret this as a datetime, the corresponding unit is + also needed. That can be found using `get_datetime64_unit`. + """ + return (<PyDatetimeScalarObject*>obj).obval + + +cdef inline npy_timedelta get_timedelta64_value(object obj) nogil: + """ + returns the int64 value underlying scalar numpy timedelta64 object + """ + return (<PyTimedeltaScalarObject*>obj).obval + + +cdef inline NPY_DATETIMEUNIT get_datetime64_unit(object obj) nogil: + """ + returns the unit part of the dtype for a numpy datetime64 object. + """ + return <NPY_DATETIMEUNIT>(<PyDatetimeScalarObject*>obj).obmeta.base diff --git a/numpy/__init__.pxd b/numpy/__init__.pxd index fd736a9c1..1656fa8b2 100644 --- a/numpy/__init__.pxd +++ b/numpy/__init__.pxd @@ -1,16 +1,8 @@ -# NumPy static imports for Cython +# NumPy static imports for Cython < 3.0 # # If any of the PyArray_* functions are called, import_array must be # called first. # -# This also defines backwards-compatibility buffer acquisition -# code for use in Python 2.x (or Python <= 2.5 when NumPy starts -# implementing PEP-3118 directly). -# -# Because of laziness, the format string of the buffer is statically -# allocated. Increase the size if this is not enough, or submit a -# patch to do this properly. -# # Author: Dag Sverre Seljebotn # @@ -227,11 +219,11 @@ cdef extern from "numpy/arrayobject.h": # this field via the inline helper method PyDataType_SHAPE. cdef PyArray_ArrayDescr* subarray - ctypedef extern class numpy.flatiter [object PyArrayIterObject, check_size ignore]: + ctypedef class numpy.flatiter [object PyArrayIterObject, check_size ignore]: # Use through macros pass - ctypedef extern class numpy.broadcast [object PyArrayMultiIterObject, check_size ignore]: + ctypedef class numpy.broadcast [object PyArrayMultiIterObject, check_size ignore]: cdef int numiter cdef npy_intp size, index cdef int nd @@ -760,73 +752,6 @@ cdef inline tuple PyDataType_SHAPE(dtype d): else: return () -cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL: - # Recursive utility function used in __getbuffer__ to get format - # string. The new location in the format string is returned. - - cdef dtype child - cdef int endian_detector = 1 - cdef bint little_endian = ((<char*>&endian_detector)[0] != 0) - cdef tuple fields - - for childname in descr.names: - fields = descr.fields[childname] - child, new_offset = fields - - if (end - f) - <int>(new_offset - offset[0]) < 15: - raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd") - - if ((child.byteorder == c'>' and little_endian) or - (child.byteorder == c'<' and not little_endian)): - raise ValueError(u"Non-native byte order not supported") - # One could encode it in the format string and have Cython - # complain instead, BUT: < and > in format strings also imply - # standardized sizes for datatypes, and we rely on native in - # order to avoid reencoding data types based on their size. - # - # A proper PEP 3118 exporter for other clients than Cython - # must deal properly with this! - - # Output padding bytes - while offset[0] < new_offset: - f[0] = 120 # "x"; pad byte - f += 1 - offset[0] += 1 - - offset[0] += child.itemsize - - if not PyDataType_HASFIELDS(child): - t = child.type_num - if end - f < 5: - raise RuntimeError(u"Format string allocated too short.") - - # Until ticket #99 is fixed, use integers to avoid warnings - if t == NPY_BYTE: f[0] = 98 #"b" - elif t == NPY_UBYTE: f[0] = 66 #"B" - elif t == NPY_SHORT: f[0] = 104 #"h" - elif t == NPY_USHORT: f[0] = 72 #"H" - elif t == NPY_INT: f[0] = 105 #"i" - elif t == NPY_UINT: f[0] = 73 #"I" - elif t == NPY_LONG: f[0] = 108 #"l" - elif t == NPY_ULONG: f[0] = 76 #"L" - elif t == NPY_LONGLONG: f[0] = 113 #"q" - elif t == NPY_ULONGLONG: f[0] = 81 #"Q" - elif t == NPY_FLOAT: f[0] = 102 #"f" - elif t == NPY_DOUBLE: f[0] = 100 #"d" - elif t == NPY_LONGDOUBLE: f[0] = 103 #"g" - elif t == NPY_CFLOAT: f[0] = 90; f[1] = 102; f += 1 # Zf - elif t == NPY_CDOUBLE: f[0] = 90; f[1] = 100; f += 1 # Zd - elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg - elif t == NPY_OBJECT: f[0] = 79 #"O" - else: - raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t) - f += 1 - else: - # Cython ignores struct boundary information ("T{...}"), - # so don't output it - f = _util_dtypestring(child, f, end, offset) - return f - # # ufunc API @@ -836,7 +761,7 @@ cdef extern from "numpy/ufuncobject.h": ctypedef void (*PyUFuncGenericFunction) (char **, npy_intp *, npy_intp *, void *) - ctypedef extern class numpy.ufunc [object PyUFuncObject, check_size ignore]: + ctypedef class numpy.ufunc [object PyUFuncObject, check_size ignore]: cdef: int nin, nout, nargs int identity diff --git a/numpy/_pytesttester.py b/numpy/_pytesttester.py index ca86aeb22..8a33be525 100644 --- a/numpy/_pytesttester.py +++ b/numpy/_pytesttester.py @@ -125,6 +125,9 @@ class PytestTester: import pytest import warnings + # Imported after pytest to enable assertion rewriting + import hypothesis + module = sys.modules[self.module_name] module_path = os.path.abspath(module.__path__[0]) @@ -187,6 +190,14 @@ class PytestTester: pytest_args += ["--pyargs"] + list(tests) + # This configuration is picked up by numpy.conftest, and ensures that + # running `np.test()` is deterministic and does not write any files. + # See https://hypothesis.readthedocs.io/en/latest/settings.html + hypothesis.settings.register_profile( + name="np.test() profile", + deadline=None, print_blob=True, database=None, derandomize=True, + suppress_health_check=hypothesis.HealthCheck.all(), + ) # run tests. _show_numpy_info() diff --git a/numpy/conftest.py b/numpy/conftest.py index 20c8a449e..078b09566 100644 --- a/numpy/conftest.py +++ b/numpy/conftest.py @@ -2,6 +2,7 @@ Pytest configuration and fixtures for the Numpy test suite. """ import os +import tempfile import hypothesis import pytest @@ -13,11 +14,23 @@ from numpy.core._multiarray_tests import get_fpu_mode _old_fpu_mode = None _collect_results = {} +# Use a known and persistent tmpdir for hypothesis' caches, which +# can be automatically cleared by the OS or user. +hypothesis.configuration.set_hypothesis_home_dir( + os.path.join(tempfile.gettempdir(), ".hypothesis") +) # See https://hypothesis.readthedocs.io/en/latest/settings.html hypothesis.settings.register_profile( name="numpy-profile", deadline=None, print_blob=True, ) -hypothesis.settings.load_profile("numpy-profile") +# We try loading the profile defined by np.test(), which disables the +# database and forces determinism, and fall back to the profile defined +# above if we're running pytest directly. The odd dance is required +# because np.test() executes this file *after* its own setup code. +try: + hypothesis.settings.load_profile("np.test() profile") +except hypothesis.errors.InvalidArgument: # profile not found + hypothesis.settings.load_profile("numpy-profile") def pytest_configure(config): diff --git a/numpy/core/include/numpy/npy_interrupt.h b/numpy/core/include/numpy/npy_interrupt.h index 40cb7ac5e..bcb539326 100644 --- a/numpy/core/include/numpy/npy_interrupt.h +++ b/numpy/core/include/numpy/npy_interrupt.h @@ -1,79 +1,18 @@ - -/* Signal handling: - -This header file defines macros that allow your code to handle -interrupts received during processing. Interrupts that -could reasonably be handled: - -SIGINT, SIGABRT, SIGALRM, SIGSEGV - -****Warning*************** - -Do not allow code that creates temporary memory or increases reference -counts of Python objects to be interrupted unless you handle it -differently. - -************************** - -The mechanism for handling interrupts is conceptually simple: - - - replace the signal handler with our own home-grown version - and store the old one. - - run the code to be interrupted -- if an interrupt occurs - the handler should basically just cause a return to the - calling function for finish work. - - restore the old signal handler - -Of course, every code that allows interrupts must account for -returning via the interrupt and handle clean-up correctly. But, -even still, the simple paradigm is complicated by at least three -factors. - - 1) platform portability (i.e. Microsoft says not to use longjmp - to return from signal handling. They have a __try and __except - extension to C instead but what about mingw?). - - 2) how to handle threads: apparently whether signals are delivered to - every thread of the process or the "invoking" thread is platform - dependent. --- we don't handle threads for now. - - 3) do we need to worry about re-entrance. For now, assume the - code will not call-back into itself. - -Ideas: - - 1) Start by implementing an approach that works on platforms that - can use setjmp and longjmp functionality and does nothing - on other platforms. - - 2) Ignore threads --- i.e. do not mix interrupt handling and threads - - 3) Add a default signal_handler function to the C-API but have the rest - use macros. - - -Simple Interface: - - -In your C-extension: around a block of code you want to be interruptible -with a SIGINT - -NPY_SIGINT_ON -[code] -NPY_SIGINT_OFF - -In order for this to work correctly, the -[code] block must not allocate any memory or alter the reference count of any -Python objects. In other words [code] must be interruptible so that continuation -after NPY_SIGINT_OFF will only be "missing some computations" - -Interrupt handling does not work well with threads. - -*/ - -/* Add signal handling macros - Make the global variable and signal handler part of the C-API -*/ +/* + * This API is only provided because it is part of publicly exported + * headers. Its use is considered DEPRECATED, and it will be removed + * eventually. + * (This includes the _PyArray_SigintHandler and _PyArray_GetSigintBuf + * functions which are however, public API, and not headers.) + * + * Instead of using these non-threadsafe macros consider periodically + * querying `PyErr_CheckSignals()` or `PyOS_InterruptOccurred()` will work. + * Both of these require holding the GIL, although cpython could add a + * version of `PyOS_InterruptOccurred()` which does not. Such a version + * actually exists as private API in Python 3.10, and backported to 3.9 and 3.8, + * see also https://bugs.python.org/issue41037 and + * https://github.com/python/cpython/pull/20599). + */ #ifndef NPY_INTERRUPT_H #define NPY_INTERRUPT_H diff --git a/numpy/core/multiarray.py b/numpy/core/multiarray.py index 2cc2a8e71..b196687af 100644 --- a/numpy/core/multiarray.py +++ b/numpy/core/multiarray.py @@ -38,7 +38,7 @@ __all__ = [ 'nested_iters', 'normalize_axis_index', 'packbits', 'promote_types', 'putmask', 'ravel_multi_index', 'result_type', 'scalar', 'set_datetimeparse_function', 'set_legacy_print_mode', 'set_numeric_ops', - 'set_string_function', 'set_typeDict', 'shares_memory', 'test_interrupt', + 'set_string_function', 'set_typeDict', 'shares_memory', 'tracemalloc_domain', 'typeinfo', 'unpackbits', 'unravel_index', 'vdot', 'where', 'zeros'] diff --git a/numpy/core/src/common/npy_cblas.h b/numpy/core/src/common/npy_cblas.h index 97308238a..072993ec2 100644 --- a/numpy/core/src/common/npy_cblas.h +++ b/numpy/core/src/common/npy_cblas.h @@ -47,8 +47,10 @@ enum CBLAS_SIDE {CblasLeft=141, CblasRight=142}; #ifdef HAVE_BLAS_ILP64 #define CBLAS_INT npy_int64 +#define CBLAS_INT_MAX NPY_MAX_INT64 #else #define CBLAS_INT int +#define CBLAS_INT_MAX INT_MAX #endif #define BLASNAME(name) CBLAS_FUNC(name) @@ -59,6 +61,39 @@ enum CBLAS_SIDE {CblasLeft=141, CblasRight=142}; #undef BLASINT #undef BLASNAME + +/* + * Convert NumPy stride to BLAS stride. Returns 0 if conversion cannot be done + * (BLAS won't handle negative or zero strides the way we want). + */ +static NPY_INLINE CBLAS_INT +blas_stride(npy_intp stride, unsigned itemsize) +{ + /* + * Should probably check pointer alignment also, but this may cause + * problems if we require complex to be 16 byte aligned. + */ + if (stride > 0 && (stride % itemsize) == 0) { + stride /= itemsize; + if (stride <= CBLAS_INT_MAX) { + return stride; + } + } + return 0; +} + +/* + * Define a chunksize for CBLAS. + * + * The chunksize is the greatest power of two less than CBLAS_INT_MAX. + */ +#if NPY_MAX_INTP > CBLAS_INT_MAX +# define NPY_CBLAS_CHUNK (CBLAS_INT_MAX / 2 + 1) +#else +# define NPY_CBLAS_CHUNK NPY_MAX_INTP +#endif + + #ifdef __cplusplus } #endif diff --git a/numpy/core/src/multiarray/common.h b/numpy/core/src/multiarray/common.h index 4913eb202..71a742e72 100644 --- a/numpy/core/src/multiarray/common.h +++ b/numpy/core/src/multiarray/common.h @@ -290,43 +290,6 @@ npy_memchr(char * haystack, char needle, return p; } -/* - * Convert NumPy stride to BLAS stride. Returns 0 if conversion cannot be done - * (BLAS won't handle negative or zero strides the way we want). - */ -static NPY_INLINE int -blas_stride(npy_intp stride, unsigned itemsize) -{ - /* - * Should probably check pointer alignment also, but this may cause - * problems if we require complex to be 16 byte aligned. - */ - if (stride > 0 && npy_is_aligned((void *)stride, itemsize)) { - stride /= itemsize; -#ifndef HAVE_BLAS_ILP64 - if (stride <= INT_MAX) { -#else - if (stride <= NPY_MAX_INT64) { -#endif - return stride; - } - } - return 0; -} - -/* - * Define a chunksize for CBLAS. CBLAS counts in integers. - */ -#if NPY_MAX_INTP > INT_MAX -# ifndef HAVE_BLAS_ILP64 -# define NPY_CBLAS_CHUNK (INT_MAX / 2 + 1) -# else -# define NPY_CBLAS_CHUNK (NPY_MAX_INT64 / 2 + 1) -# endif -#else -# define NPY_CBLAS_CHUNK NPY_MAX_INTP -#endif - #include "ucsnarrow.h" /* diff --git a/numpy/core/src/multiarray/methods.c b/numpy/core/src/multiarray/methods.c index 8b4009edf..9cb4555f9 100644 --- a/numpy/core/src/multiarray/methods.c +++ b/numpy/core/src/multiarray/methods.c @@ -1614,7 +1614,7 @@ _getlist_pkl(PyArrayObject *self) } while (iter->index < iter->size) { theobject = getitem(iter->dataptr, self); - PyList_SET_ITEM(list, (int) iter->index, theobject); + PyList_SET_ITEM(list, iter->index, theobject); PyArray_ITER_NEXT(iter); } Py_DECREF(iter); @@ -1634,7 +1634,7 @@ _setlist_pkl(PyArrayObject *self, PyObject *list) return -1; } while(iter->index < iter->size) { - theobject = PyList_GET_ITEM(list, (int) iter->index); + theobject = PyList_GET_ITEM(list, iter->index); setitem(theobject, iter->dataptr, self); PyArray_ITER_NEXT(iter); } diff --git a/numpy/core/src/multiarray/multiarraymodule.c b/numpy/core/src/multiarray/multiarraymodule.c index a9f673d93..610618f73 100644 --- a/numpy/core/src/multiarray/multiarraymodule.c +++ b/numpy/core/src/multiarray/multiarraymodule.c @@ -3796,36 +3796,6 @@ _PyArray_GetSigintBuf(void) static PyObject * -test_interrupt(PyObject *NPY_UNUSED(self), PyObject *args) -{ - int kind = 0; - int a = 0; - - if (!PyArg_ParseTuple(args, "|i:test_interrupt", &kind)) { - return NULL; - } - if (kind) { - Py_BEGIN_ALLOW_THREADS; - while (a >= 0) { - if ((a % 1000 == 0) && PyOS_InterruptOccurred()) { - break; - } - a += 1; - } - Py_END_ALLOW_THREADS; - } - else { - NPY_SIGINT_ON - while(a >= 0) { - a += 1; - } - NPY_SIGINT_OFF - } - return PyInt_FromLong(a); -} - - -static PyObject * array_shares_memory_impl(PyObject *args, PyObject *kwds, Py_ssize_t default_max_work, int raise_exceptions) { @@ -4119,9 +4089,6 @@ static struct PyMethodDef array_module_methods[] = { {"_vec_string", (PyCFunction)_vec_string, METH_VARARGS | METH_KEYWORDS, NULL}, - {"test_interrupt", - (PyCFunction)test_interrupt, - METH_VARARGS, NULL}, {"_insert", (PyCFunction)arr_insert, METH_VARARGS | METH_KEYWORDS, "Insert vals sequentially into equivalent 1-d positions " diff --git a/numpy/core/tests/test_regression.py b/numpy/core/tests/test_regression.py index ef205555a..9b487f37d 100644 --- a/numpy/core/tests/test_regression.py +++ b/numpy/core/tests/test_regression.py @@ -14,7 +14,7 @@ from numpy.testing import ( assert_raises_regex, assert_warns, suppress_warnings, _assert_valid_refcount, HAS_REFCOUNT, ) -from numpy.testing._private.utils import _no_tracing +from numpy.testing._private.utils import _no_tracing, requires_memory from numpy.compat import asbytes, asunicode, pickle try: @@ -2490,3 +2490,16 @@ class TestRegression: assert arr.size * arr.itemsize > 2 ** 31 c_arr = np.ctypeslib.as_ctypes(arr) assert_equal(c_arr._length_, arr.size) + + @pytest.mark.skipif(sys.maxsize < 2 ** 31 + 1, reason='overflows 32-bit python') + @requires_memory(free_bytes=9e9) + def test_dot_big_stride(self): + # gh-17111 + # blas stride = stride//itemsize > int32 max + int32_max = np.iinfo(np.int32).max + n = int32_max + 3 + a = np.empty([n], dtype=np.float32) + b = a[::n-1] + b[...] = 1 + assert b.strides[0] > int32_max * b.dtype.itemsize + assert np.dot(b, b) == 2.0 diff --git a/numpy/fft/_pocketfft.c b/numpy/fft/_pocketfft.c index 764116a84..ba9995f97 100644 --- a/numpy/fft/_pocketfft.c +++ b/numpy/fft/_pocketfft.c @@ -2206,7 +2206,6 @@ execute_complex(PyObject *a1, int is_forward, double fct) double *dptr = (double *)PyArray_DATA(data); int fail=0; Py_BEGIN_ALLOW_THREADS; - NPY_SIGINT_ON; plan = make_cfft_plan(npts); if (!plan) fail=1; if (!fail) @@ -2217,7 +2216,6 @@ execute_complex(PyObject *a1, int is_forward, double fct) dptr += npts*2; } if (plan) destroy_cfft_plan(plan); - NPY_SIGINT_OFF; Py_END_ALLOW_THREADS; if (fail) { Py_XDECREF(data); @@ -2258,7 +2256,6 @@ execute_real_forward(PyObject *a1, double fct) *dptr = (double *)PyArray_DATA(data); Py_BEGIN_ALLOW_THREADS; - NPY_SIGINT_ON; plan = make_rfft_plan(npts); if (!plan) fail=1; if (!fail) @@ -2272,7 +2269,6 @@ execute_real_forward(PyObject *a1, double fct) dptr += npts; } if (plan) destroy_rfft_plan(plan); - NPY_SIGINT_OFF; Py_END_ALLOW_THREADS; } if (fail) { @@ -2303,7 +2299,6 @@ execute_real_backward(PyObject *a1, double fct) *dptr = (double *)PyArray_DATA(data); Py_BEGIN_ALLOW_THREADS; - NPY_SIGINT_ON; plan = make_rfft_plan(npts); if (!plan) fail=1; if (!fail) { @@ -2316,7 +2311,6 @@ execute_real_backward(PyObject *a1, double fct) } } if (plan) destroy_rfft_plan(plan); - NPY_SIGINT_OFF; Py_END_ALLOW_THREADS; } if (fail) { diff --git a/numpy/random/mtrand.pyx b/numpy/random/mtrand.pyx index 169ed5f0e..5f3440d59 100644 --- a/numpy/random/mtrand.pyx +++ b/numpy/random/mtrand.pyx @@ -383,7 +383,7 @@ cdef class RandomState: .. note:: New code should use the ``random`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -453,7 +453,7 @@ cdef class RandomState: .. note:: New code should use the ``beta`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -503,7 +503,7 @@ cdef class RandomState: .. note:: New code should use the ``exponential`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -552,7 +552,7 @@ cdef class RandomState: .. note:: New code should use the ``standard_exponential`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -653,7 +653,7 @@ cdef class RandomState: .. note:: New code should use the ``integers`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -774,7 +774,7 @@ cdef class RandomState: .. note:: New code should use the ``bytes`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -812,7 +812,7 @@ cdef class RandomState: .. note:: New code should use the ``choice`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -1014,7 +1014,7 @@ cdef class RandomState: .. note:: New code should use the ``uniform`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -1182,7 +1182,7 @@ cdef class RandomState: .. note:: New code should use the ``standard_normal`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. If positive int_like arguments are provided, `randn` generates an array of shape ``(d0, d1, ..., dn)``, filled @@ -1336,7 +1336,7 @@ cdef class RandomState: .. note:: New code should use the ``standard_normal`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -1411,7 +1411,7 @@ cdef class RandomState: .. note:: New code should use the ``normal`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -1511,7 +1511,7 @@ cdef class RandomState: .. note:: New code should use the ``standard_gamma`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -1592,7 +1592,7 @@ cdef class RandomState: .. note:: New code should use the ``gamma`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -1681,7 +1681,7 @@ cdef class RandomState: .. note:: New code should use the ``f`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -1769,7 +1769,7 @@ cdef class RandomState: .. note:: New code should use the ``noncentral_f`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -1854,7 +1854,7 @@ cdef class RandomState: .. note:: New code should use the ``chisquare`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -1927,7 +1927,7 @@ cdef class RandomState: .. note:: New code should use the ``noncentral_chisquare`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -2013,7 +2013,7 @@ cdef class RandomState: .. note:: New code should use the ``standard_cauchy`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -2089,7 +2089,7 @@ cdef class RandomState: .. note:: New code should use the ``standard_t`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -2194,7 +2194,7 @@ cdef class RandomState: .. note:: New code should use the ``vonmises`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -2292,7 +2292,7 @@ cdef class RandomState: .. note:: New code should use the ``pareto`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -2386,7 +2386,7 @@ cdef class RandomState: .. note:: New code should use the ``weibull`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -2482,7 +2482,7 @@ cdef class RandomState: .. note:: New code should use the ``power`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -2593,7 +2593,7 @@ cdef class RandomState: .. note:: New code should use the ``laplace`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -2684,7 +2684,7 @@ cdef class RandomState: .. note:: New code should use the ``gumbel`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -2806,7 +2806,7 @@ cdef class RandomState: .. note:: New code should use the ``logistic`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -2893,7 +2893,7 @@ cdef class RandomState: .. note:: New code should use the ``lognormal`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -3006,7 +3006,7 @@ cdef class RandomState: .. note:: New code should use the ``rayleigh`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -3088,7 +3088,7 @@ cdef class RandomState: .. note:: New code should use the ``wald`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -3161,7 +3161,7 @@ cdef class RandomState: .. note:: New code should use the ``triangular`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -3268,7 +3268,7 @@ cdef class RandomState: .. note:: New code should use the ``binomial`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -3418,7 +3418,7 @@ cdef class RandomState: .. note:: New code should use the ``negative_binomial`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -3503,7 +3503,7 @@ cdef class RandomState: .. note:: New code should use the ``poisson`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -3589,7 +3589,7 @@ cdef class RandomState: .. note:: New code should use the ``zipf`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -3679,7 +3679,7 @@ cdef class RandomState: .. note:: New code should use the ``geometric`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -3733,7 +3733,7 @@ cdef class RandomState: .. note:: New code should use the ``hypergeometric`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -3864,7 +3864,7 @@ cdef class RandomState: .. note:: New code should use the ``logseries`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -3957,7 +3957,7 @@ cdef class RandomState: .. note:: New code should use the ``multivariate_normal`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -4131,7 +4131,7 @@ cdef class RandomState: .. note:: New code should use the ``multinomial`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -4249,7 +4249,7 @@ cdef class RandomState: .. note:: New code should use the ``dirichlet`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -4395,7 +4395,7 @@ cdef class RandomState: .. note:: New code should use the ``shuffle`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- @@ -4490,7 +4490,7 @@ cdef class RandomState: .. note:: New code should use the ``permutation`` method of a ``default_rng()`` - instance instead; see `random-quick-start`. + instance instead; please see the :ref:`random-quick-start`. Parameters ---------- diff --git a/pavement.py b/pavement.py index a8551e2a3..928fda3a6 100644 --- a/pavement.py +++ b/pavement.py @@ -37,7 +37,7 @@ from paver.easy import Bunch, options, task, sh #----------------------------------- # Path to the release notes -RELEASE_NOTES = 'doc/source/release/1.19.1-notes.rst' +RELEASE_NOTES = 'doc/source/release/1.19.2-notes.rst' #------------------------------------------------------- diff --git a/pyproject.toml b/pyproject.toml index a54d0b379..3566cc683 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,7 +1,7 @@ [build-system] # Minimum requirements for the build system to execute. requires = [ - "setuptools!=49.2.0", + "setuptools<49.2.0", "wheel", "Cython>=0.29.21", # Note: keep in sync with tools/cythonize.py ] @@ -55,7 +55,7 @@ Operating System :: MacOS MAJOR = 1 MINOR = 19 -MICRO = 1 +MICRO = 2 ISRELEASED = True VERSION = '%d.%d.%d' % (MAJOR, MINOR, MICRO) @@ -161,7 +161,7 @@ def configuration(parent_package='',top_path=None): config.add_subpackage('numpy') config.add_data_files(('numpy', 'LICENSE.txt')) - config.add_data_files(('numpy', 'numpy/__init__.pxd')) + config.add_data_files(('numpy', 'numpy/*.pxd')) config.get_version('numpy/version.py') # sets config.version diff --git a/test_requirements.txt b/test_requirements.txt index 05e09cb78..171206435 100644 --- a/test_requirements.txt +++ b/test_requirements.txt @@ -1,7 +1,7 @@ cython==0.29.21 wheel -setuptools!=49.2.0 -hypothesis==5.19.1 +setuptools<49.2.0 +hypothesis==5.23.2 pytest==5.4.3 pytz==2020.1 pytest-cov==2.8.1 diff --git a/tools/travis-before-install.sh b/tools/travis-before-install.sh index 1446a8bad..b62d74f40 100755 --- a/tools/travis-before-install.sh +++ b/tools/travis-before-install.sh @@ -29,7 +29,7 @@ gcc --version popd -pip install --upgrade pip setuptools!=49.2.0 wheel +pip install --upgrade pip 'setuptools<49.2.0' wheel # 'setuptools', 'wheel' and 'cython' are build dependencies. This information # is stored in pyproject.toml, but there is not yet a standard way to install |