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repo_id stringlengths 12 110 | file_path stringlengths 24 164 | content stringlengths 3 89.3M | __index_level_0__ int64 0 0 |
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public_repos/numpy/numpy | public_repos/numpy/numpy/_core/cversions.py | """Simple script to compute the api hash of the current API.
The API has is defined by numpy_api_order and ufunc_api_order.
"""
from os.path import dirname
from code_generators.genapi import fullapi_hash
from code_generators.numpy_api import full_api
if __name__ == '__main__':
curdir = dirname(__file__)
pri... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/einsumfunc.pyi | from collections.abc import Sequence
from typing import TypeVar, Any, overload, Literal
from numpy import (
bool_,
number,
_OrderKACF,
)
from numpy._typing import (
NDArray,
_ArrayLikeBool_co,
_ArrayLikeUInt_co,
_ArrayLikeInt_co,
_ArrayLikeFloat_co,
_ArrayLikeComplex_co,
_ArrayL... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/shape_base.py | __all__ = ['atleast_1d', 'atleast_2d', 'atleast_3d', 'block', 'hstack',
'stack', 'vstack']
import functools
import itertools
import operator
import warnings
from . import numeric as _nx
from . import overrides
from .multiarray import array, asanyarray, normalize_axis_index
from . import fromnumeric as _fro... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/records.pyi | import os
from collections.abc import Sequence, Iterable
from typing import (
Any,
TypeVar,
overload,
Protocol,
SupportsIndex,
Literal
)
from numpy import (
ndarray,
dtype,
generic,
void,
_ByteOrder,
_SupportsBuffer,
_ShapeType,
_DType_co,
_OrderKACF,
)
from... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/defchararray.py | """
This module contains a set of functions for vectorized string
operations and methods.
.. note::
The `chararray` class exists for backwards compatibility with
Numarray, it is not recommended for new development. Starting from numpy
1.4, if one needs arrays of strings, it is recommended to use arrays of
... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/umath.py | """
Create the numpy._core.umath namespace for backward compatibility. In v1.16
the multiarray and umath c-extension modules were merged into a single
_multiarray_umath extension module. So we replicate the old namespace
by importing from the extension module.
"""
from . import _multiarray_umath
from ._multiarray_uma... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/records.py | """
Record Arrays
=============
Record arrays expose the fields of structured arrays as properties.
Most commonly, ndarrays contain elements of a single type, e.g. floats,
integers, bools etc. However, it is possible for elements to be combinations
of these using structured types, such as::
>>> a = np.array([(1, 2... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/function_base.pyi | from typing import (
Literal as L,
overload,
Any,
SupportsIndex,
TypeVar,
)
from numpy import floating, complexfloating, generic
from numpy._typing import (
NDArray,
DTypeLike,
_DTypeLike,
_ArrayLikeFloat_co,
_ArrayLikeComplex_co,
)
_SCT = TypeVar("_SCT", bound=generic)
__all_... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/feature_detection_stdio.h | #include <stdio.h>
#include <fcntl.h>
off_t ftello(FILE *stream);
int fseeko(FILE *stream, off_t offset, int whence);
int fallocate(int, int, off_t, off_t);
| 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/numeric.py | import functools
import itertools
import operator
import sys
import warnings
import numbers
import builtins
import numpy as np
from . import multiarray
from . import numerictypes as nt
from .multiarray import (
ALLOW_THREADS,
BUFSIZE, CLIP, MAXDIMS, MAY_SHARE_BOUNDS, MAY_SHARE_EXACT, RAISE,
WRAP, arange, a... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/memmap.py | from contextlib import nullcontext
import operator
import numpy as np
from .._utils import set_module
from .numeric import uint8, ndarray, dtype
__all__ = ['memmap']
dtypedescr = dtype
valid_filemodes = ["r", "c", "r+", "w+"]
writeable_filemodes = ["r+", "w+"]
mode_equivalents = {
"readonly":"r",
"copyonwrit... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/overrides.py | """Implementation of __array_function__ overrides from NEP-18."""
import collections
import functools
import os
from .._utils import set_module
from .._utils._inspect import getargspec
from numpy._core._multiarray_umath import (
add_docstring, _get_implementing_args, _ArrayFunctionDispatcher)
ARRAY_FUNCTIONS = ... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/multiarray.py | """
Create the numpy._core.multiarray namespace for backward compatibility.
In v1.16 the multiarray and umath c-extension modules were merged into
a single _multiarray_umath extension module. So we replicate the old
namespace by importing from the extension module.
"""
import functools
from . import overrides
from... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/_type_aliases.py | """
Due to compatibility, numpy has a very large number of different naming
conventions for the scalar types (those subclassing from `numpy.generic`).
This file produces a convoluted set of dictionaries mapping names to types,
and sometimes other mappings too.
.. data:: allTypes
A dictionary of names to types that... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/fromnumeric.py | """Module containing non-deprecated functions borrowed from Numeric.
"""
import functools
import types
import warnings
import numpy as np
from .._utils import set_module
from . import multiarray as mu
from . import overrides
from . import umath as um
from . import numerictypes as nt
from .multiarray import asarray, a... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/_asarray.py | """
Functions in the ``as*array`` family that promote array-likes into arrays.
`require` fits this category despite its name not matching this pattern.
"""
from .overrides import (
array_function_dispatch,
set_array_function_like_doc,
set_module,
)
from .multiarray import array, asanyarray
__all__ = ["re... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/multiarray.pyi | # TODO: Sort out any and all missing functions in this namespace
import os
import datetime as dt
from collections.abc import Sequence, Callable, Iterable
from typing import (
Literal as L,
Any,
overload,
TypeVar,
SupportsIndex,
final,
Final,
Protocol,
ClassVar,
)
from numpy import ... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/_ufunc_config.pyi | from collections.abc import Callable
from typing import Any, Literal, TypedDict
from numpy import _SupportsWrite
_ErrKind = Literal["ignore", "warn", "raise", "call", "print", "log"]
_ErrFunc = Callable[[str, int], Any]
class _ErrDict(TypedDict):
divide: _ErrKind
over: _ErrKind
under: _ErrKind
invali... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/arrayprint.pyi | from collections.abc import Callable
from typing import Any, Literal, TypedDict, SupportsIndex
# Using a private class is by no means ideal, but it is simply a consequence
# of a `contextlib.context` returning an instance of aforementioned class
from contextlib import _GeneratorContextManager
from numpy import (
... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/function_base.py | import functools
import warnings
import operator
import types
import numpy as np
from . import numeric as _nx
from .numeric import result_type, nan, asanyarray, ndim
from numpy._core.multiarray import add_docstring
from numpy._core import overrides
__all__ = ['logspace', 'linspace', 'geomspace']
array_function_disp... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/mlib.ini.in | [meta]
Name = mlib
Description = Math library used with this version of numpy
Version = 1.0
[default]
Libs=@posix_mathlib@
Cflags=
[msvc]
Libs=@msvc_mathlib@
Cflags=
| 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/_string_helpers.py | """
String-handling utilities to avoid locale-dependence.
Used primarily to generate type name aliases.
"""
# "import string" is costly to import!
# Construct the translation tables directly
# "A" = chr(65), "a" = chr(97)
_all_chars = tuple(map(chr, range(256)))
_ascii_upper = _all_chars[65:65+26]
_ascii_lower = _al... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/_exceptions.py | """
Various richly-typed exceptions, that also help us deal with string formatting
in python where it's easier.
By putting the formatting in `__str__`, we also avoid paying the cost for
users who silence the exceptions.
"""
from .._utils import set_module
def _unpack_tuple(tup):
if len(tup) == 1:
return t... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/_internal.pyi | from typing import Any, TypeVar, overload, Generic
import ctypes as ct
from numpy.typing import NDArray
from numpy.ctypeslib import c_intp
_CastT = TypeVar("_CastT", bound=ct._CanCastTo) # Copied from `ctypes.cast`
_CT = TypeVar("_CT", bound=ct._CData)
_PT = TypeVar("_PT", bound=int)
# TODO: Let the likes of `shape... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/npymath.ini.in | [meta]
Name=npymath
Description=Portable, core math library implementing C99 standard
Version=0.1
[variables]
pkgname=@pkgname@
prefix=${pkgdir}
libdir=${prefix}@sep@lib
includedir=${prefix}@sep@include
[default]
Libs=-L${libdir} -lnpymath
Cflags=-I${includedir}
Requires=mlib
[msvc]
Libs=/LIBPATH:${libdir} npymath.l... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/getlimits.pyi | from numpy import (
finfo as finfo,
iinfo as iinfo,
)
__all__: list[str]
| 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/feature_detection_misc.h | #include <stddef.h>
int backtrace(void **, int);
int madvise(void *, size_t, int);
| 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/_methods.py | """
Array methods which are called by both the C-code for the method
and the Python code for the NumPy-namespace function
"""
import os
import pickle
import warnings
from contextlib import nullcontext
from numpy._core import multiarray as mu
from numpy._core import umath as um
from numpy._core.multiarray import asany... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/arrayprint.py | """Array printing function
$Id: arrayprint.py,v 1.9 2005/09/13 13:58:44 teoliphant Exp $
"""
__all__ = ["array2string", "array_str", "array_repr",
"set_printoptions", "get_printoptions", "printoptions",
"format_float_positional", "format_float_scientific"]
__docformat__ = 'restructuredtext'
#
#... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/_machar.py | """
Machine arithmetic - determine the parameters of the
floating-point arithmetic system
Author: Pearu Peterson, September 2003
"""
__all__ = ['MachAr']
from .fromnumeric import any
from ._ufunc_config import errstate
from .._utils import set_module
# Need to speed this up...especially for longdouble
# Deprecated... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/__init__.py | """
Contains the core of NumPy: ndarray, ufuncs, dtypes, etc.
Please note that this module is private. All functions and objects
are available in the main ``numpy`` namespace - use that instead.
"""
import os
from numpy.version import version as __version__
# disables OpenBLAS affinity setting of the main thread... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/getlimits.py | """Machine limits for Float32 and Float64 and (long double) if available...
"""
__all__ = ['finfo', 'iinfo']
import warnings
from .._utils import set_module
from ._machar import MachAr
from . import numeric
from . import numerictypes as ntypes
from .numeric import array, inf, nan
from .umath import log10, exp2, next... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/_core/_add_newdocs.py | """
This is only meant to add docs to objects defined in C-extension modules.
The purpose is to allow easier editing of the docstrings without
requiring a re-compile.
NOTE: Many of the methods of ndarray have corresponding functions.
If you update these docstrings, please keep also the ones in
_core/fromnu... | 0 |
public_repos/numpy/numpy/_core | public_repos/numpy/numpy/_core/include/meson.build | installed_headers = [
'numpy/_neighborhood_iterator_imp.h',
'numpy/arrayobject.h',
'numpy/arrayscalars.h',
'numpy/_dtype_api.h',
'numpy/experimental_dtype_api.h',
'numpy/halffloat.h',
'numpy/ndarrayobject.h',
'numpy/ndarraytypes.h',
'numpy/npy_1_7_deprecated_api.h',
'numpy/npy_2_compat.h',
'numpy/... | 0 |
public_repos/numpy/numpy/_core/include | public_repos/numpy/numpy/_core/include/numpy/arrayobject.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_ARRAYOBJECT_H_
#define NUMPY_CORE_INCLUDE_NUMPY_ARRAYOBJECT_H_
#define Py_ARRAYOBJECT_H
#include "ndarrayobject.h"
#endif /* NUMPY_CORE_INCLUDE_NUMPY_ARRAYOBJECT_H_ */
| 0 |
public_repos/numpy/numpy/_core/include | public_repos/numpy/numpy/_core/include/numpy/npy_1_7_deprecated_api.h | #ifndef NPY_DEPRECATED_INCLUDES
#error "Should never include npy_*_*_deprecated_api directly."
#endif
#ifndef NUMPY_CORE_INCLUDE_NUMPY_NPY_1_7_DEPRECATED_API_H_
#define NUMPY_CORE_INCLUDE_NUMPY_NPY_1_7_DEPRECATED_API_H_
/* Emit a warning if the user did not specifically request the old API */
#ifndef NPY_NO_DEPRECATE... | 0 |
public_repos/numpy/numpy/_core/include | public_repos/numpy/numpy/_core/include/numpy/_dtype_api.h | /*
* DType related API shared by the (experimental) public API And internal API.
*/
#ifndef NUMPY_CORE_INCLUDE_NUMPY___DTYPE_API_H_
#define NUMPY_CORE_INCLUDE_NUMPY___DTYPE_API_H_
#define __EXPERIMENTAL_DTYPE_API_VERSION 15
struct PyArrayMethodObject_tag;
/*
* Largely opaque struct for DType classes (i.e. metacl... | 0 |
public_repos/numpy/numpy/_core/include | public_repos/numpy/numpy/_core/include/numpy/arrayscalars.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_ARRAYSCALARS_H_
#define NUMPY_CORE_INCLUDE_NUMPY_ARRAYSCALARS_H_
#ifndef _MULTIARRAYMODULE
typedef struct {
PyObject_HEAD
npy_bool obval;
} PyBoolScalarObject;
#endif
typedef struct {
PyObject_HEAD
signed char obval;
} PyByteScalarObject;
typedef str... | 0 |
public_repos/numpy/numpy/_core/include | public_repos/numpy/numpy/_core/include/numpy/npy_os.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_NPY_OS_H_
#define NUMPY_CORE_INCLUDE_NUMPY_NPY_OS_H_
#if defined(linux) || defined(__linux) || defined(__linux__)
#define NPY_OS_LINUX
#elif defined(__FreeBSD__) || defined(__NetBSD__) || \
defined(__OpenBSD__) || defined(__DragonFly__)
#define NPY_OS_BSD
#ifdef... | 0 |
public_repos/numpy/numpy/_core/include | public_repos/numpy/numpy/_core/include/numpy/.doxyfile | INCLUDE_PATH += @CUR_DIR
PREDEFINED += NPY_INTERNAL_BUILD
| 0 |
public_repos/numpy/numpy/_core/include | public_repos/numpy/numpy/_core/include/numpy/npy_3kcompat.h | /*
* This is a convenience header file providing compatibility utilities
* for supporting different minor versions of Python 3.
* It was originally used to support the transition from Python 2,
* hence the "3k" naming.
*
* If you want to use this for your own projects, it's recommended to make a
* copy of it. Al... | 0 |
public_repos/numpy/numpy/_core/include | public_repos/numpy/numpy/_core/include/numpy/npy_math.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_NPY_MATH_H_
#define NUMPY_CORE_INCLUDE_NUMPY_NPY_MATH_H_
#include <numpy/npy_common.h>
#include <math.h>
/* By adding static inline specifiers to npy_math function definitions when
appropriate, compiler is given the opportunity to optimize */
#if NPY_INLINE_MATH
#define NPY_INPLAC... | 0 |
public_repos/numpy/numpy/_core/include | public_repos/numpy/numpy/_core/include/numpy/ufuncobject.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_UFUNCOBJECT_H_
#define NUMPY_CORE_INCLUDE_NUMPY_UFUNCOBJECT_H_
#include <numpy/npy_math.h>
#include <numpy/npy_common.h>
#ifdef __cplusplus
extern "C" {
#endif
/*
* The legacy generic inner loop for a standard element-wise or
* generalized ufunc.
*/
typedef void (*PyUFuncGenericFu... | 0 |
public_repos/numpy/numpy/_core/include | public_repos/numpy/numpy/_core/include/numpy/halffloat.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_HALFFLOAT_H_
#define NUMPY_CORE_INCLUDE_NUMPY_HALFFLOAT_H_
#include <Python.h>
#include <numpy/npy_math.h>
#ifdef __cplusplus
extern "C" {
#endif
/*
* Half-precision routines
*/
/* Conversions */
float npy_half_to_float(npy_half h);
double npy_half_to_double(npy_half h);
npy_half ... | 0 |
public_repos/numpy/numpy/_core/include | public_repos/numpy/numpy/_core/include/numpy/npy_common.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_NPY_COMMON_H_
#define NUMPY_CORE_INCLUDE_NUMPY_NPY_COMMON_H_
/* need Python.h for npy_intp, npy_uintp */
#include <Python.h>
/* numpconfig.h is auto-generated */
#include "numpyconfig.h"
#ifdef HAVE_NPY_CONFIG_H
#include <npy_config.h>
#endif
/*
* using static inline modifiers when ... | 0 |
public_repos/numpy/numpy/_core/include | public_repos/numpy/numpy/_core/include/numpy/ndarraytypes.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_NDARRAYTYPES_H_
#define NUMPY_CORE_INCLUDE_NUMPY_NDARRAYTYPES_H_
#include "npy_common.h"
#include "npy_endian.h"
#include "npy_cpu.h"
#include "utils.h"
#define NPY_NO_EXPORT NPY_VISIBILITY_HIDDEN
/* Only use thread if configured in config and python supports it */
#if defined WITH_T... | 0 |
public_repos/numpy/numpy/_core/include | public_repos/numpy/numpy/_core/include/numpy/npy_endian.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_NPY_ENDIAN_H_
#define NUMPY_CORE_INCLUDE_NUMPY_NPY_ENDIAN_H_
/*
* NPY_BYTE_ORDER is set to the same value as BYTE_ORDER set by glibc in
* endian.h
*/
#if defined(NPY_HAVE_ENDIAN_H) || defined(NPY_HAVE_SYS_ENDIAN_H)
/* Use endian.h if available */
#if defined(NPY_HAVE_ENDIA... | 0 |
public_repos/numpy/numpy/_core/include | public_repos/numpy/numpy/_core/include/numpy/npy_no_deprecated_api.h | /*
* This include file is provided for inclusion in Cython *.pyd files where
* one would like to define the NPY_NO_DEPRECATED_API macro. It can be
* included by
*
* cdef extern from "npy_no_deprecated_api.h": pass
*
*/
#ifndef NPY_NO_DEPRECATED_API
/* put this check here since there may be multiple includes in ... | 0 |
public_repos/numpy/numpy/_core/include | public_repos/numpy/numpy/_core/include/numpy/npy_cpu.h | /*
* This set (target) cpu specific macros:
* - Possible values:
* NPY_CPU_X86
* NPY_CPU_AMD64
* NPY_CPU_PPC
* NPY_CPU_PPC64
* NPY_CPU_PPC64LE
* NPY_CPU_SPARC
* NPY_CPU_S390
* NPY_CPU_IA64
* ... | 0 |
public_repos/numpy/numpy/_core/include | public_repos/numpy/numpy/_core/include/numpy/npy_2_complexcompat.h | /* This header is designed to be copy-pasted into downstream packages, since it provides
a compatibility layer between the old C struct complex types and the new native C99
complex types. The new macros are in numpy/npy_math.h, which is why it is included here. */
#ifndef NUMPY_CORE_INCLUDE_NUMPY_NPY_2_COMPLEXCOM... | 0 |
public_repos/numpy/numpy/_core/include | public_repos/numpy/numpy/_core/include/numpy/experimental_dtype_api.h | /*
* This header exports the new experimental DType API as proposed in
* NEPs 41 to 43. For background, please check these NEPs. Otherwise,
* this header also serves as documentation for the time being.
*
* The header includes `_dtype_api.h` which holds most definition while this
* header mainly wraps functions... | 0 |
public_repos/numpy/numpy/_core/include | public_repos/numpy/numpy/_core/include/numpy/ndarrayobject.h | /*
* DON'T INCLUDE THIS DIRECTLY.
*/
#ifndef NUMPY_CORE_INCLUDE_NUMPY_NDARRAYOBJECT_H_
#define NUMPY_CORE_INCLUDE_NUMPY_NDARRAYOBJECT_H_
#ifdef __cplusplus
extern "C" {
#endif
#include <Python.h>
#include "ndarraytypes.h"
/* Includes the "function" C-API -- these are all stored in a
list of pointers --- one for... | 0 |
public_repos/numpy/numpy/_core/include | public_repos/numpy/numpy/_core/include/numpy/numpyconfig.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_NPY_NUMPYCONFIG_H_
#define NUMPY_CORE_INCLUDE_NUMPY_NPY_NUMPYCONFIG_H_
#include "_numpyconfig.h"
/*
* On Mac OS X, because there is only one configuration stage for all the archs
* in universal builds, any macro which depends on the arch needs to be
* hardcoded.
*
* Note that dis... | 0 |
public_repos/numpy/numpy/_core/include | public_repos/numpy/numpy/_core/include/numpy/_neighborhood_iterator_imp.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY__NEIGHBORHOOD_IMP_H_
#error You should not include this header directly
#endif
/*
* Private API (here for inline)
*/
static inline int
_PyArrayNeighborhoodIter_IncrCoord(PyArrayNeighborhoodIterObject* iter);
/*
* Update to next item of the iterator
*
* Note: this simply increment ... | 0 |
public_repos/numpy/numpy/_core/include | public_repos/numpy/numpy/_core/include/numpy/_numpyconfig.h.in | #mesondefine NPY_HAVE_ENDIAN_H
#mesondefine NPY_SIZEOF_SHORT
#mesondefine NPY_SIZEOF_INT
#mesondefine NPY_SIZEOF_LONG
#mesondefine NPY_SIZEOF_FLOAT
#mesondefine NPY_SIZEOF_COMPLEX_FLOAT
#mesondefine NPY_SIZEOF_DOUBLE
#mesondefine NPY_SIZEOF_COMPLEX_DOUBLE
#mesondefine NPY_SIZEOF_LONGDOUBLE
#mesondefine NPY_SIZEOF_COMP... | 0 |
public_repos/numpy/numpy/_core/include | public_repos/numpy/numpy/_core/include/numpy/utils.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_UTILS_H_
#define NUMPY_CORE_INCLUDE_NUMPY_UTILS_H_
#ifndef __COMP_NPY_UNUSED
#if defined(__GNUC__)
#define __COMP_NPY_UNUSED __attribute__ ((__unused__))
#elif defined(__ICC)
#define __COMP_NPY_UNUSED __attribute__ ((__unused__))
#elif defined(__clang__)
... | 0 |
public_repos/numpy/numpy/_core/include | public_repos/numpy/numpy/_core/include/numpy/npy_2_compat.h | /*
* This header file defines relevant features which:
* - Require runtime inspection depending on the NumPy version.
* - May be needed when compiling with an older version of NumPy to allow
* a smooth transition.
*
* As such, it is shipped with NumPy 2.0, but designed to be vendored in full
* or parts by down... | 0 |
public_repos/numpy/numpy/_core/include/numpy | public_repos/numpy/numpy/_core/include/numpy/libdivide/LICENSE.txt | zlib License
------------
Copyright (C) 2010 - 2019 ridiculous_fish, <libdivide@ridiculousfish.com>
Copyright (C) 2016 - 2019 Kim Walisch, <kim.walisch@gmail.com>
This software is provided 'as-is', without any express or implied
warranty. In no event will the authors be held liable for any damages
aris... | 0 |
public_repos/numpy/numpy/_core/include/numpy | public_repos/numpy/numpy/_core/include/numpy/libdivide/libdivide.h | // libdivide.h - Optimized integer division
// https://libdivide.com
//
// Copyright (C) 2010 - 2019 ridiculous_fish, <libdivide@ridiculousfish.com>
// Copyright (C) 2016 - 2019 Kim Walisch, <kim.walisch@gmail.com>
//
// libdivide is dual-licensed under the Boost or zlib licenses.
// You may use libdivide under the ter... | 0 |
public_repos/numpy/numpy/_core/include/numpy | public_repos/numpy/numpy/_core/include/numpy/random/bitgen.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_RANDOM_BITGEN_H_
#define NUMPY_CORE_INCLUDE_NUMPY_RANDOM_BITGEN_H_
#pragma once
#include <stddef.h>
#include <stdbool.h>
#include <stdint.h>
/* Must match the declaration in numpy/random/<any>.pxd */
typedef struct bitgen {
void *state;
uint64_t (*next_uint64)(void *st);
uint32... | 0 |
public_repos/numpy/numpy/_core/include/numpy | public_repos/numpy/numpy/_core/include/numpy/random/distributions.h | #ifndef NUMPY_CORE_INCLUDE_NUMPY_RANDOM_DISTRIBUTIONS_H_
#define NUMPY_CORE_INCLUDE_NUMPY_RANDOM_DISTRIBUTIONS_H_
#ifdef __cplusplus
extern "C" {
#endif
#include <Python.h>
#include "numpy/npy_common.h"
#include <stddef.h>
#include <stdbool.h>
#include <stdint.h>
#include "numpy/npy_math.h"
#include "numpy/random/bi... | 0 |
public_repos/numpy/numpy/_core | public_repos/numpy/numpy/_core/src/dummymodule.c | /* -*- c -*- */
/*
* This is a dummy module whose purpose is to get distutils to generate the
* configuration files before the libraries are made.
*/
#define NPY_NO_DEPRECATED_API NPY_API_VERSION
#define NO_IMPORT_ARRAY
#define PY_SSIZE_T_CLEAN
#include <Python.h>
#include "npy_pycompat.h"
static struct PyMethod... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/npymath/npy_math_complex.c.src | /*
* vim: syntax=c
*
* Implement some C99-compatible complex math functions
*
* Most of the code is taken from the msun library in FreeBSD (HEAD @ 4th
* October 2013), under the following license:
*
* Copyright (c) 2007, 2011 David Schultz <das@FreeBSD.ORG>
* Copyright (c) 2012 Stephen Montgomery-Smith <stephe... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/npymath/npy_math.c | /*
* vim:syntax=c
* This file is compiled into the npy_math library with externally visible
* symbols, and the static and inline specifiers utilized in the npy_math
* function definitions are switched off.
*/
#define NPY_INLINE_MATH 0
#include "npy_math_internal.h"
| 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/npymath/npy_math_private.h | /*
*
* ====================================================
* Copyright (C) 1993 by Sun Microsystems, Inc. All rights reserved.
*
* Developed at SunPro, a Sun Microsystems, Inc. business.
* Permission to use, copy, modify, and distribute this
* software is freely granted, provided that this notice
* is preserve... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/npymath/ieee754.c.src | /* -*- c -*- */
/*
* vim:syntax=c
*
* Low-level routines related to IEEE-754 format
*/
#include "npy_math_common.h"
#include "npy_math_private.h"
#include "numpy/utils.h"
/*
The below code is provided for compilers which do not yet provide C11 compatibility (gcc 4.5 and older)
*/
#ifndef LDBL_TRUE_MIN
#define LD... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/npymath/npy_math_internal.h.src | /*
* vim:syntax=c
* A small module to implement missing C99 math capabilities required by numpy
*
* Please keep this independent of python ! Only basic types (npy_longdouble)
* can be used, otherwise, pure C, without any use of Python facilities
*
* How to add a function to this section
* ----------------------... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/npymath/ieee754.cpp | /* -*- c -*- */
/*
* vim:syntax=c
*
* Low-level routines related to IEEE-754 format
*/
#include "numpy/utils.h"
#include "npy_math_common.h"
#include "npy_math_private.h"
/*
The below code is provided for compilers which do not yet provide C11
compatibility (gcc 4.5 and older)
*/
#ifndef LDBL_TRUE_MIN
#define ... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/npymath/halffloat.cpp | #define NPY_NO_DEPRECATED_API NPY_API_VERSION
/*
* If these are 1, the conversions try to trigger underflow,
* overflow, and invalid exceptions in the FP system when needed.
*/
#define NPY_HALF_GENERATE_OVERFLOW 1
#define NPY_HALF_GENERATE_INVALID 1
#include "numpy/halffloat.h"
#include "common.hpp"
/*
*********... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/npymath/npy_math_common.h | /*
* Common headers needed by every npy math compilation unit
*/
#include <Python.h>
#include <math.h>
#include <float.h>
#include "npy_config.h"
#include "numpy/npy_math.h"
| 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/npymath/arm64_exports.c | #if defined(__arm64__) && defined(__APPLE__)
#include <math.h>
/*
* Export these for scipy, since the SciPy build for macos arm64
* downloads the macos x86_64 NumPy, and does not error when the
* linker fails to use npymathlib.a. Importing numpy will expose
* these external functions
* See https://github.com/nump... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/numpy_tag.h | #ifndef _NPY_COMMON_TAG_H_
#define _NPY_COMMON_TAG_H_
#include "../npysort/npysort_common.h"
namespace npy {
template<typename... tags>
struct taglist {
static constexpr unsigned size = sizeof...(tags);
};
struct integral_tag {
};
struct floating_point_tag {
};
struct complex_tag {
};
struct date_tag {
};
struct... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/half.hpp | #ifndef NUMPY_CORE_SRC_COMMON_HALF_HPP
#define NUMPY_CORE_SRC_COMMON_HALF_HPP
#include "npstd.hpp"
#include "npy_cpu_dispatch.h" // NPY_HAVE_CPU_FEATURES
#include "half_private.hpp"
// TODO(@seiko2plus):
// - covers half-precision operations that being supported by numpy/halffloat.h
// - add support for arithmetic o... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/lowlevel_strided_loops.h | #ifndef NUMPY_CORE_SRC_COMMON_LOWLEVEL_STRIDED_LOOPS_H_
#define NUMPY_CORE_SRC_COMMON_LOWLEVEL_STRIDED_LOOPS_H_
#include "common.h"
#include "npy_config.h"
#include "array_method.h"
#include "dtype_transfer.h"
#include "mem_overlap.h"
#include "mapping.h"
/* For PyArray_ macros used below */
#include "numpy/ndarrayobj... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/cblasfuncs.h | #ifndef NUMPY_CORE_SRC_COMMON_CBLASFUNCS_H_
#define NUMPY_CORE_SRC_COMMON_CBLASFUNCS_H_
NPY_NO_EXPORT PyObject *
cblas_matrixproduct(int, PyArrayObject *, PyArrayObject *, PyArrayObject *);
#endif /* NUMPY_CORE_SRC_COMMON_CBLASFUNCS_H_ */
| 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/npy_svml.h | #if NPY_SIMD && defined(NPY_HAVE_AVX512_SKX) && defined(NPY_CAN_LINK_SVML)
extern __m512 __svml_expf16(__m512 x);
extern __m512 __svml_exp2f16(__m512 x);
extern __m512 __svml_logf16(__m512 x);
extern __m512 __svml_log2f16(__m512 x);
extern __m512 __svml_log10f16(__m512 x);
extern __m512 __svml_expm1f16(__m512 x);
exter... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/npy_cpu_features.h | #ifndef NUMPY_CORE_SRC_COMMON_NPY_CPU_FEATURES_H_
#define NUMPY_CORE_SRC_COMMON_NPY_CPU_FEATURES_H_
#include <Python.h> // for PyObject
#include "numpy/numpyconfig.h" // for NPY_VISIBILITY_HIDDEN
#ifdef __cplusplus
extern "C" {
#endif
enum npy_cpu_features
{
NPY_CPU_FEATURE_NONE = 0,
// X86
NPY_CPU_FEATU... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/npy_config.h | #ifndef NUMPY_CORE_SRC_COMMON_NPY_CONFIG_H_
#define NUMPY_CORE_SRC_COMMON_NPY_CONFIG_H_
#include "config.h"
#include "npy_cpu_dispatch.h" // brings NPY_HAVE_[CPU features]
#include "numpy/numpyconfig.h"
#include "numpy/utils.h"
#include "numpy/npy_os.h"
/* blocklist */
/* Disable broken functions on z/OS */
#if defi... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/array_assign.c | /*
* This file implements some helper functions for the array assignment
* routines. The actual assignment routines are in array_assign_*.c
*
* Written by Mark Wiebe (mwwiebe@gmail.com)
* Copyright (c) 2011 by Enthought, Inc.
*
* See LICENSE.txt for the license.
*/
#define NPY_NO_DEPRECATED_API NPY_API_VERSION
... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/npy_argparse.c | #define NPY_NO_DEPRECATED_API NPY_API_VERSION
#define _MULTIARRAYMODULE
#define PY_SSIZE_T_CLEAN
#include <Python.h>
#include "numpy/ndarraytypes.h"
#include "npy_argparse.h"
#include "npy_pycompat.h"
#include "npy_import.h"
#include "arrayfunction_override.h"
/**
* Small wrapper converting to array just like CPy... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/npy_ctypes.h | #ifndef NUMPY_CORE_SRC_COMMON_NPY_CTYPES_H_
#define NUMPY_CORE_SRC_COMMON_NPY_CTYPES_H_
#include <Python.h>
#include "npy_import.h"
/*
* Check if a python type is a ctypes class.
*
* Works like the Py<type>_Check functions, returning true if the argument
* looks like a ctypes object.
*
* This entire function i... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/npy_fpmath.h | #ifndef NUMPY_CORE_SRC_COMMON_NPY_NPY_FPMATH_H_
#define NUMPY_CORE_SRC_COMMON_NPY_NPY_FPMATH_H_
#include "npy_config.h"
#include "numpy/npy_os.h"
#include "numpy/npy_cpu.h"
#include "numpy/npy_common.h"
#if !(defined(HAVE_LDOUBLE_IEEE_QUAD_BE) || \
defined(HAVE_LDOUBLE_IEEE_QUAD_LE) || \
defined(HAVE_LDO... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/mem_overlap.c | /*
Solving memory overlap integer programs and bounded Diophantine equations with
positive coefficients.
Asking whether two strided arrays `a` and `b` overlap is equivalent to
asking whether there is a solution to the following problem::
sum(stride_a[i] * x_a[i] for i in range(ndim_a))
-
sum... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/binop_override.h | #ifndef NUMPY_CORE_SRC_COMMON_BINOP_OVERRIDE_H_
#define NUMPY_CORE_SRC_COMMON_BINOP_OVERRIDE_H_
#include <string.h>
#include <Python.h>
#include "numpy/arrayobject.h"
#include "get_attr_string.h"
/*
* Logic for deciding when binops should return NotImplemented versus when
* they should go ahead and call a ufunc (o... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/templ_common.h.src | #ifndef __NPY_TYPED_COMMON_INC
#define __NPY_TYPED_COMMON_INC
/* utility functions that profit from templates */
#include "numpy/npy_common.h"
#include <assert.h>
/**begin repeat
* #name = int, uint, long, ulong,
* longlong, ulonglong#
* #type = npy_int, npy_uint, npy_long, npy_ulong,
* npy_l... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/npy_dlpack.h | #include "Python.h"
#include "dlpack/dlpack.h"
#ifndef NPY_DLPACK_H
#define NPY_DLPACK_H
// Part of the Array API specification.
#define NPY_DLPACK_CAPSULE_NAME "dltensor"
#define NPY_DLPACK_USED_CAPSULE_NAME "used_dltensor"
// Used internally by NumPy to store a base object
// as it has to release a reference to th... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/half_private.hpp | #ifndef NUMPY_CORE_SRC_COMMON_HALF_PRIVATE_HPP
#define NUMPY_CORE_SRC_COMMON_HALF_PRIVATE_HPP
#include "npstd.hpp"
#include "float_status.hpp"
/*
* The following functions that emulating float/double/half conversions
* are copied from npymath without any changes to its functionality.
*/
namespace np { namespace ha... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/npy_cpu_dispatch.c | #include "npy_cpu_dispatch.h"
static PyObject *npy__cpu_dispatch_registery = NULL;
NPY_VISIBILITY_HIDDEN int
npy_cpu_dispatch_tracer_init(PyObject *mod)
{
if (npy__cpu_dispatch_registery != NULL) {
PyErr_Format(PyExc_RuntimeError, "CPU dispatcher tracer already initlized");
return -1;
}
Py... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/npstd.hpp | #ifndef NUMPY_CORE_SRC_COMMON_NPSTD_HPP
#define NUMPY_CORE_SRC_COMMON_NPSTD_HPP
#include <cstddef>
#include <cstring>
#include <cctype>
#include <cstdint>
#include <string>
#include <algorithm>
#include <utility>
#include <cstdlib>
#include <cmath>
#include <complex>
#include <type_traits>
#include <numpy/npy_common... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/.doxyfile | INCLUDE_PATH += @CUR_DIR
| 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/npy_import.h | #ifndef NUMPY_CORE_SRC_COMMON_NPY_IMPORT_H_
#define NUMPY_CORE_SRC_COMMON_NPY_IMPORT_H_
#include <Python.h>
/*! \brief Fetch and cache Python function.
*
* Import a Python function and cache it for use. The function checks if
* cache is NULL, and if not NULL imports the Python function specified by
* \a module an... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/npy_longdouble.h | #ifndef NUMPY_CORE_SRC_COMMON_NPY_LONGDOUBLE_H_
#define NUMPY_CORE_SRC_COMMON_NPY_LONGDOUBLE_H_
#include "npy_config.h"
#include "numpy/ndarraytypes.h"
/* Convert a npy_longdouble to a python `long` integer.
*
* Results are rounded towards zero.
*
* This performs the same task as PyLong_FromDouble, but for long d... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/npy_binsearch.h | #ifndef __NPY_BINSEARCH_H__
#define __NPY_BINSEARCH_H__
#include "npy_sort.h"
#include <numpy/npy_common.h>
#include <numpy/ndarraytypes.h>
#ifdef __cplusplus
extern "C" {
#endif
typedef void (PyArray_BinSearchFunc)(const char*, const char*, char*,
npy_intp, npy_intp,
... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/npy_cpu_dispatch.h | #ifndef NUMPY_CORE_SRC_COMMON_NPY_CPU_DISPATCH_H_
#define NUMPY_CORE_SRC_COMMON_NPY_CPU_DISPATCH_H_
/**
* This file is part of the NumPy CPU dispatcher.
*
* Please have a look at doc/reference/simd-optimizations.html
* To get a better understanding of the mechanism behind it.
*/
#include "npy_cpu_features.h" // NP... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/npdef.hpp | #ifndef NUMPY_CORE_SRC_COMMON_NPDEF_HPP
#define NUMPY_CORE_SRC_COMMON_NPDEF_HPP
#if !defined(__cplusplus) || __cplusplus < 201703L
#error "NumPy requires a compiler with at least C++17 enabled"
#endif
/// @addtogroup cpp_core_defs
/// @{
/// Whether compiler supports C++20
#if __cplusplus > 202002L
#define N... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/npy_partition.h | #ifndef NUMPY_CORE_SRC_COMMON_PARTITION_H_
#define NUMPY_CORE_SRC_COMMON_PARTITION_H_
#include "npy_sort.h"
/* Python include is for future object sorts */
#include <Python.h>
#include <numpy/ndarraytypes.h>
#include <numpy/npy_common.h>
#define NPY_MAX_PIVOT_STACK 50
typedef int (PyArray_PartitionFunc)(void *, np... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/npy_cpuinfo_parser.h | /*
* Copyright (C) 2010 The Android Open Source Project
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* * Redistributions of source code must retain the above copyright
* notice, t... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/ufunc_override.h | #ifndef NUMPY_CORE_SRC_COMMON_UFUNC_OVERRIDE_H_
#define NUMPY_CORE_SRC_COMMON_UFUNC_OVERRIDE_H_
#include "npy_config.h"
/*
* Check whether an object has __array_ufunc__ defined on its class and it
* is not the default, i.e., the object is not an ndarray, and its
* __array_ufunc__ is not the same as that of ndarray... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/utils.hpp | #ifndef NUMPY_CORE_SRC_COMMON_UTILS_HPP
#define NUMPY_CORE_SRC_COMMON_UTILS_HPP
#include "npdef.hpp"
#if NP_HAS_CPP20
#include <bit>
#endif
#include <type_traits>
#include <string.h>
namespace np {
/** Create a value of type `To` from the bits of `from`.
*
* similar to `std::bit_cast` but compatible with C++... | 0 |
public_repos/numpy/numpy/_core/src | public_repos/numpy/numpy/_core/src/common/npy_cpu_features.c | #include "npy_cpu_features.h"
#include "npy_cpu_dispatch.h" // To guarantee the CPU baseline definitions are in scope.
#include "numpy/npy_common.h"
#include "numpy/npy_cpu.h" // To guarantee the CPU definitions are in scope.
/******************** Private Definitions *********************/
// Hold all CPU features bo... | 0 |
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