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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 |
|---|---|---|---|
public_repos/numpy/numpy/f2py/tests/src | public_repos/numpy/numpy/f2py/tests/src/return_logical/foo77.f | function t0(value)
logical value
logical t0
t0 = value
end
function t1(value)
logical*1 value
logical*1 t1
t1 = value
end
function t2(value)
logical*2 value
logical*2 t2
t2 = value
end
funct... | 0 |
public_repos/numpy/numpy/f2py/tests/src | public_repos/numpy/numpy/f2py/tests/src/return_logical/foo90.f90 | module f90_return_logical
contains
function t0(value)
logical :: value
logical :: t0
t0 = value
end function t0
function t1(value)
logical(kind=1) :: value
logical(kind=1) :: t1
t1 = value
end function t1
function t2(value)
... | 0 |
public_repos/numpy/numpy/f2py/tests/src | public_repos/numpy/numpy/f2py/tests/src/module_data/module_data_docstring.f90 | module mod
integer :: i
integer :: x(4)
real, dimension(2,3) :: a
real, allocatable, dimension(:,:) :: b
contains
subroutine foo
integer :: k
k = 1
a(1,2) = a(1,2)+3
end subroutine foo
end module mod
| 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/ma/mrecords.pyi | from typing import Any, TypeVar
from numpy import dtype
from numpy.ma import MaskedArray
__all__: list[str]
# TODO: Set the `bound` to something more suitable once we
# have proper shape support
_ShapeType = TypeVar("_ShapeType", bound=Any)
_DType_co = TypeVar("_DType_co", bound=dtype[Any], covariant=True)
class Ma... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/ma/__init__.pyi | from numpy._pytesttester import PytestTester
from numpy.ma import extras as extras
from numpy.ma.core import (
MAError as MAError,
MaskError as MaskError,
MaskType as MaskType,
MaskedArray as MaskedArray,
abs as abs,
absolute as absolute,
add as add,
all as all,
allclose as allclos... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/ma/core.pyi | from collections.abc import Callable
from typing import Any, TypeVar
from numpy import ndarray, dtype, float64
from numpy import (
amax as amax,
amin as amin,
bool_ as bool_,
expand_dims as expand_dims,
clip as clip,
indices as indices,
ones_like as ones_like,
squeeze as squeeze,
ze... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/ma/README.rst | ==================================
A guide to masked arrays in NumPy
==================================
.. Contents::
See http://www.scipy.org/scipy/numpy/wiki/MaskedArray (dead link)
for updates of this document.
History
-------
As a regular user of MaskedArray, I (Pierre G.F. Gerard-Marchant) became
increasingly... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/ma/extras.pyi | from typing import Any
from numpy.lib.index_tricks import AxisConcatenator
from numpy.ma.core import (
dot as dot,
mask_rowcols as mask_rowcols,
)
__all__: list[str]
def count_masked(arr, axis=...): ...
def masked_all(shape, dtype = ...): ...
def masked_all_like(arr): ...
class _fromnxfunction:
__name__... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/ma/timer_comparison.py | import timeit
from functools import reduce
import numpy as np
import numpy._core.fromnumeric as fromnumeric
from numpy.testing import build_err_msg
pi = np.pi
class ModuleTester:
def __init__(self, module):
self.module = module
self.allequal = module.allequal
self.arange = module.arange... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/ma/API_CHANGES.txt | .. -*- rest -*-
==================================================
API changes in the new masked array implementation
==================================================
Masked arrays are subclasses of ndarray
---------------------------------------
Contrary to the original implementation, masked arrays are now regul... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/ma/core.py | """
numpy.ma : a package to handle missing or invalid values.
This package was initially written for numarray by Paul F. Dubois
at Lawrence Livermore National Laboratory.
In 2006, the package was completely rewritten by Pierre Gerard-Marchant
(University of Georgia) to make the MaskedArray class a subclass of ndarray,... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/ma/testutils.py | """Miscellaneous functions for testing masked arrays and subclasses
:author: Pierre Gerard-Marchant
:contact: pierregm_at_uga_dot_edu
:version: $Id: testutils.py 3529 2007-11-13 08:01:14Z jarrod.millman $
"""
import operator
import numpy as np
from numpy import ndarray
import numpy._core.umath as umath
import numpy.... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/ma/LICENSE | * Copyright (c) 2006, University of Georgia and Pierre G.F. Gerard-Marchant
* 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
*... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/ma/mrecords.py | """:mod:`numpy.ma..mrecords`
Defines the equivalent of :class:`numpy.recarrays` for masked arrays,
where fields can be accessed as attributes.
Note that :class:`numpy.ma.MaskedArray` already supports structured datatypes
and the masking of individual fields.
.. moduleauthor:: Pierre Gerard-Marchant
"""
# We should ... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/ma/extras.py | """
Masked arrays add-ons.
A collection of utilities for `numpy.ma`.
:author: Pierre Gerard-Marchant
:contact: pierregm_at_uga_dot_edu
:version: $Id: extras.py 3473 2007-10-29 15:18:13Z jarrod.millman $
"""
__all__ = [
'apply_along_axis', 'apply_over_axes', 'atleast_1d', 'atleast_2d',
'atleast_3d', 'average'... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/ma/__init__.py | """
=============
Masked Arrays
=============
Arrays sometimes contain invalid or missing data. When doing operations
on such arrays, we wish to suppress invalid values, which is the purpose masked
arrays fulfill (an example of typical use is given below).
For example, examine the following array:
>>> x = np.array(... | 0 |
public_repos/numpy/numpy/ma | public_repos/numpy/numpy/ma/tests/test_extras.py | # pylint: disable-msg=W0611, W0612, W0511
"""Tests suite for MaskedArray.
Adapted from the original test_ma by Pierre Gerard-Marchant
:author: Pierre Gerard-Marchant
:contact: pierregm_at_uga_dot_edu
:version: $Id: test_extras.py 3473 2007-10-29 15:18:13Z jarrod.millman $
"""
import warnings
import itertools
import p... | 0 |
public_repos/numpy/numpy/ma | public_repos/numpy/numpy/ma/tests/test_mrecords.py | # pylint: disable-msg=W0611, W0612, W0511,R0201
"""Tests suite for mrecords.
:author: Pierre Gerard-Marchant
:contact: pierregm_at_uga_dot_edu
"""
import pickle
import numpy as np
import numpy.ma as ma
from numpy.ma import masked, nomask
from numpy.testing import temppath
from numpy._core.records import (
recarr... | 0 |
public_repos/numpy/numpy/ma | public_repos/numpy/numpy/ma/tests/test_regression.py | import numpy as np
from numpy.testing import (
assert_, assert_array_equal, assert_allclose, suppress_warnings
)
class TestRegression:
def test_masked_array_create(self):
# Ticket #17
x = np.ma.masked_array([0, 1, 2, 3, 0, 4, 5, 6],
mask=[0, 0, 0, 1, 1, 1, 0,... | 0 |
public_repos/numpy/numpy/ma | public_repos/numpy/numpy/ma/tests/test_arrayobject.py | import pytest
import numpy as np
from numpy.ma import masked_array
from numpy.testing import assert_array_equal
def test_matrix_transpose_raises_error_for_1d():
msg = "matrix transpose with ndim < 2 is undefined"
ma_arr = masked_array(data=[1, 2, 3, 4, 5, 6],
mask=[1, 0, 1, 1, 1, 0]... | 0 |
public_repos/numpy/numpy/ma | public_repos/numpy/numpy/ma/tests/test_core.py | # pylint: disable-msg=W0400,W0511,W0611,W0612,W0614,R0201,E1102
"""Tests suite for MaskedArray & subclassing.
:author: Pierre Gerard-Marchant
:contact: pierregm_at_uga_dot_edu
"""
__author__ = "Pierre GF Gerard-Marchant"
import sys
import warnings
import copy
import operator
import itertools
import textwrap
import pi... | 0 |
public_repos/numpy/numpy/ma | public_repos/numpy/numpy/ma/tests/test_deprecations.py | """Test deprecation and future warnings.
"""
import pytest
import numpy as np
from numpy.testing import assert_warns
from numpy.ma.testutils import assert_equal
from numpy.ma.core import MaskedArrayFutureWarning
import io
import textwrap
class TestArgsort:
""" gh-8701 """
def _test_base(self, argsort, cls):
... | 0 |
public_repos/numpy/numpy/ma | public_repos/numpy/numpy/ma/tests/test_old_ma.py | from functools import reduce
import pickle
import pytest
import numpy as np
import numpy._core.umath as umath
import numpy._core.fromnumeric as fromnumeric
from numpy.testing import (
assert_, assert_raises, assert_equal,
)
from numpy.ma import (
MaskType, MaskedArray, absolute, add, all, allclose, allequ... | 0 |
public_repos/numpy/numpy/ma | public_repos/numpy/numpy/ma/tests/test_subclassing.py | # pylint: disable-msg=W0611, W0612, W0511,R0201
"""Tests suite for MaskedArray & subclassing.
:author: Pierre Gerard-Marchant
:contact: pierregm_at_uga_dot_edu
:version: $Id: test_subclassing.py 3473 2007-10-29 15:18:13Z jarrod.millman $
"""
import numpy as np
from numpy.lib.mixins import NDArrayOperatorsMixin
from n... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/distutils/__init__.pyi | from typing import Any
# TODO: remove when the full numpy namespace is defined
def __getattr__(name: str) -> Any: ...
| 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/distutils/line_endings.py | """ Functions for converting from DOS to UNIX line endings
"""
import os
import re
import sys
def dos2unix(file):
"Replace CRLF with LF in argument files. Print names of changed files."
if os.path.isdir(file):
print(file, "Directory!")
return
with open(file, "rb") as fp:
data = ... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/distutils/mingw32ccompiler.py | """
Support code for building Python extensions on Windows.
# NT stuff
# 1. Make sure libpython<version>.a exists for gcc. If not, build it.
# 2. Force windows to use gcc (we're struggling with MSVC and g77 support)
# 3. Force windows to use g77
"""
import os
import sys
import subprocess
import re
im... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/distutils/msvc9compiler.py | import os
from distutils.msvc9compiler import MSVCCompiler as _MSVCCompiler
from .system_info import platform_bits
def _merge(old, new):
"""Concatenate two environment paths avoiding repeats.
Here `old` is the environment string before the base class initialize
function is called and `new` is the string... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/distutils/pathccompiler.py | from distutils.unixccompiler import UnixCCompiler
class PathScaleCCompiler(UnixCCompiler):
"""
PathScale compiler compatible with an gcc built Python.
"""
compiler_type = 'pathcc'
cc_exe = 'pathcc'
cxx_exe = 'pathCC'
def __init__ (self, verbose=0, dry_run=0, force=0):
UnixCCompil... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/distutils/log.py | # Colored log
import sys
from distutils.log import * # noqa: F403
from distutils.log import Log as old_Log
from distutils.log import _global_log
from numpy.distutils.misc_util import (red_text, default_text, cyan_text,
green_text, is_sequence, is_string)
def _fix_args(args,flag=1):
if is_string(args):
... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/distutils/intelccompiler.py | import platform
from distutils.unixccompiler import UnixCCompiler
from numpy.distutils.exec_command import find_executable
from numpy.distutils.ccompiler import simple_version_match
if platform.system() == 'Windows':
from numpy.distutils.msvc9compiler import MSVCCompiler
class IntelCCompiler(UnixCCompiler):
... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/distutils/ccompiler.py | import os
import re
import sys
import platform
import shlex
import time
import subprocess
from copy import copy
from pathlib import Path
from distutils import ccompiler
from distutils.ccompiler import (
compiler_class, gen_lib_options, get_default_compiler, new_compiler,
CCompiler
)
from distutils.errors import... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/distutils/conv_template.py | #!/usr/bin/env python3
"""
takes templated file .xxx.src and produces .xxx file where .xxx is
.i or .c or .h, using the following template rules
/**begin repeat -- on a line by itself marks the start of a repeated code
segment
/**end repeat**/ -- on a line by itself marks it's end
After the /**b... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/distutils/lib2def.py | import re
import sys
import subprocess
__doc__ = """This module generates a DEF file from the symbols in
an MSVC-compiled DLL import library. It correctly discriminates between
data and functions. The data is collected from the output of the program
nm(1).
Usage:
python lib2def.py [libname.lib] [output.def]
or
... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/distutils/fujitsuccompiler.py | from distutils.unixccompiler import UnixCCompiler
class FujitsuCCompiler(UnixCCompiler):
"""
Fujitsu compiler.
"""
compiler_type = 'fujitsu'
cc_exe = 'fcc'
cxx_exe = 'FCC'
def __init__(self, verbose=0, dry_run=0, force=0):
UnixCCompiler.__init__(self, verbose, dry_run, force)
... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/distutils/core.py | import sys
from distutils.core import Distribution
if 'setuptools' in sys.modules:
have_setuptools = True
from setuptools import setup as old_setup
# easy_install imports math, it may be picked up from cwd
from setuptools.command import easy_install
try:
# very old versions of setuptools do... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/distutils/msvccompiler.py | import os
from distutils.msvccompiler import MSVCCompiler as _MSVCCompiler
from .system_info import platform_bits
def _merge(old, new):
"""Concatenate two environment paths avoiding repeats.
Here `old` is the environment string before the base class initialize
function is called and `new` is the string ... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/distutils/numpy_distribution.py | # XXX: Handle setuptools ?
from distutils.core import Distribution
# This class is used because we add new files (sconscripts, and so on) with the
# scons command
class NumpyDistribution(Distribution):
def __init__(self, attrs = None):
# A list of (sconscripts, pre_hook, post_hook, src, parent_names)
... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/distutils/exec_command.py | """
exec_command
Implements exec_command function that is (almost) equivalent to
commands.getstatusoutput function but on NT, DOS systems the
returned status is actually correct (though, the returned status
values may be different by a factor). In addition, exec_command
takes keyword arguments for (re-)defining enviro... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/distutils/unixccompiler.py | """
unixccompiler - can handle very long argument lists for ar.
"""
import os
import sys
import subprocess
import shlex
from distutils.errors import CompileError, DistutilsExecError, LibError
from distutils.unixccompiler import UnixCCompiler
from numpy.distutils.ccompiler import replace_method
from numpy.distutils.mi... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/distutils/npy_pkg_config.py | import sys
import re
import os
from configparser import RawConfigParser
__all__ = ['FormatError', 'PkgNotFound', 'LibraryInfo', 'VariableSet',
'read_config', 'parse_flags']
_VAR = re.compile(r'\$\{([a-zA-Z0-9_-]+)\}')
class FormatError(OSError):
"""
Exception thrown when there is a problem parsing a... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/distutils/ccompiler_opt.py | """Provides the `CCompilerOpt` class, used for handling the CPU/hardware
optimization, starting from parsing the command arguments, to managing the
relation between the CPU baseline and dispatch-able features,
also generating the required C headers and ending with compiling
the sources with proper compiler's flags.
`C... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/distutils/_shell_utils.py | """
Helper functions for interacting with the shell, and consuming shell-style
parameters provided in config files.
"""
import os
import shlex
import subprocess
__all__ = ['WindowsParser', 'PosixParser', 'NativeParser']
class CommandLineParser:
"""
An object that knows how to split and join command-line argu... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/distutils/misc_util.py | import os
import re
import sys
import copy
import glob
import atexit
import tempfile
import subprocess
import shutil
import multiprocessing
import textwrap
import importlib.util
from threading import local as tlocal
from functools import reduce
import distutils
from distutils.errors import DistutilsError
# stores tem... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/distutils/armccompiler.py | from distutils.unixccompiler import UnixCCompiler
class ArmCCompiler(UnixCCompiler):
"""
Arm compiler.
"""
compiler_type = 'arm'
cc_exe = 'armclang'
cxx_exe = 'armclang++'
def __init__(self, verbose=0, dry_run=0, force=0):
UnixCCompiler.__init__(self... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/distutils/system_info.py | #!/usr/bin/env python3
"""
This file defines a set of system_info classes for getting
information about various resources (libraries, library directories,
include directories, etc.) in the system. Usage:
info_dict = get_info(<name>)
where <name> is a string 'atlas','x11','fftw','lapack','blas',
'lapack_src', 'b... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/distutils/__init__.py | """
An enhanced distutils, providing support for Fortran compilers, for BLAS,
LAPACK and other common libraries for numerical computing, and more.
Public submodules are::
misc_util
system_info
cpu_info
log
exec_command
For details, please see the *Packaging* and *NumPy Distutils User Guide*
secti... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/distutils/extension.py | """distutils.extension
Provides the Extension class, used to describe C/C++ extension
modules in setup scripts.
Overridden to support f2py.
"""
import re
from distutils.extension import Extension as old_Extension
cxx_ext_re = re.compile(r'.*\.(cpp|cxx|cc)\Z', re.I).match
fortran_pyf_ext_re = re.compile(r'.*\.(f90|... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/distutils/from_template.py | #!/usr/bin/env python3
"""
process_file(filename)
takes templated file .xxx.src and produces .xxx file where .xxx
is .pyf .f90 or .f using the following template rules:
'<..>' denotes a template.
All function and subroutine blocks in a source file with names that
contain '<..>' will be replicated accordin... | 0 |
public_repos/numpy/numpy | public_repos/numpy/numpy/distutils/cpuinfo.py | #!/usr/bin/env python3
"""
cpuinfo
Copyright 2002 Pearu Peterson all rights reserved,
Pearu Peterson <pearu@cens.ioc.ee>
Permission to use, modify, and distribute this software is given under the
terms of the NumPy (BSD style) license. See LICENSE.txt that came with
this distribution for specifics.
NO WARRANTY IS EX... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/command/build_clib.py | """ Modified version of build_clib that handles fortran source files.
"""
import os
from glob import glob
import shutil
from distutils.command.build_clib import build_clib as old_build_clib
from distutils.errors import DistutilsSetupError, DistutilsError, \
DistutilsFileError
from numpy.distutils import log
from d... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/command/build_ext.py | """ Modified version of build_ext that handles fortran source files.
"""
import os
import subprocess
from glob import glob
from distutils.dep_util import newer_group
from distutils.command.build_ext import build_ext as old_build_ext
from distutils.errors import DistutilsFileError, DistutilsSetupError,\
DistutilsE... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/command/build_src.py | """ Build swig and f2py sources.
"""
import os
import re
import sys
import shlex
import copy
from distutils.command import build_ext
from distutils.dep_util import newer_group, newer
from distutils.util import get_platform
from distutils.errors import DistutilsError, DistutilsSetupError
# this import can't be done h... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/command/install_data.py | import sys
have_setuptools = ('setuptools' in sys.modules)
from distutils.command.install_data import install_data as old_install_data
#data installer with improved intelligence over distutils
#data files are copied into the project directory instead
#of willy-nilly
class install_data (old_install_data):
def run... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/command/install_headers.py | import os
from distutils.command.install_headers import install_headers as old_install_headers
class install_headers (old_install_headers):
def run (self):
headers = self.distribution.headers
if not headers:
return
prefix = os.path.dirname(self.install_dir)
for header ... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/command/config_compiler.py | from distutils.core import Command
from numpy.distutils import log
#XXX: Linker flags
def show_fortran_compilers(_cache=None):
# Using cache to prevent infinite recursion.
if _cache:
return
elif _cache is None:
_cache = []
_cache.append(1)
from numpy.distutils.fcompiler import show... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/command/config.py | # Added Fortran compiler support to config. Currently useful only for
# try_compile call. try_run works but is untested for most of Fortran
# compilers (they must define linker_exe first).
# Pearu Peterson
import os
import signal
import subprocess
import sys
import textwrap
import warnings
from distutils.command.confi... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/command/egg_info.py | import sys
from setuptools.command.egg_info import egg_info as _egg_info
class egg_info(_egg_info):
def run(self):
if 'sdist' in sys.argv:
import warnings
import textwrap
msg = textwrap.dedent("""
`build_src` is being run, this may lead to missing
... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/command/build_py.py | from distutils.command.build_py import build_py as old_build_py
from numpy.distutils.misc_util import is_string
class build_py(old_build_py):
def run(self):
build_src = self.get_finalized_command('build_src')
if build_src.py_modules_dict and self.packages is None:
self.packages = list(... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/command/bdist_rpm.py | import os
import sys
if 'setuptools' in sys.modules:
from setuptools.command.bdist_rpm import bdist_rpm as old_bdist_rpm
else:
from distutils.command.bdist_rpm import bdist_rpm as old_bdist_rpm
class bdist_rpm(old_bdist_rpm):
def _make_spec_file(self):
spec_file = old_bdist_rpm._make_spec_file(sel... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/command/install.py | import sys
if 'setuptools' in sys.modules:
import setuptools.command.install as old_install_mod
have_setuptools = True
else:
import distutils.command.install as old_install_mod
have_setuptools = False
from distutils.file_util import write_file
old_install = old_install_mod.install
class install(old_in... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/command/install_clib.py | import os
from distutils.core import Command
from distutils.ccompiler import new_compiler
from numpy.distutils.misc_util import get_cmd
class install_clib(Command):
description = "Command to install installable C libraries"
user_options = []
def initialize_options(self):
self.install_dir = None
... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/command/develop.py | """ Override the develop command from setuptools so we can ensure that our
generated files (from build_src or build_scripts) are properly converted to real
files with filenames.
"""
from setuptools.command.develop import develop as old_develop
class develop(old_develop):
__doc__ = old_develop.__doc__
def inst... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/command/build_scripts.py | """ Modified version of build_scripts that handles building scripts from functions.
"""
from distutils.command.build_scripts import build_scripts as old_build_scripts
from numpy.distutils import log
from numpy.distutils.misc_util import is_string
class build_scripts(old_build_scripts):
def generate_scripts(self,... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/command/sdist.py | import sys
if 'setuptools' in sys.modules:
from setuptools.command.sdist import sdist as old_sdist
else:
from distutils.command.sdist import sdist as old_sdist
from numpy.distutils.misc_util import get_data_files
class sdist(old_sdist):
def add_defaults (self):
old_sdist.add_defaults(self)
... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/command/autodist.py | """This module implements additional tests ala autoconf which can be useful.
"""
import textwrap
# We put them here since they could be easily reused outside numpy.distutils
def check_inline(cmd):
"""Return the inline identifier (may be empty)."""
cmd._check_compiler()
body = textwrap.dedent("""
... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/command/__init__.py | """distutils.command
Package containing implementation of all the standard Distutils
commands.
"""
def test_na_writable_attributes_deletion():
a = np.NA(2)
attr = ['payload', 'dtype']
for s in attr:
assert_raises(AttributeError, delattr, a, s)
__revision__ = "$Id: __init__.py,v 1.3 2005/05/16 1... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/command/build.py | import os
import sys
from distutils.command.build import build as old_build
from distutils.util import get_platform
from numpy.distutils.command.config_compiler import show_fortran_compilers
class build(old_build):
sub_commands = [('config_cc', lambda *args: True),
('config_fc', lambda... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/fcompiler/nv.py | from numpy.distutils.fcompiler import FCompiler
compilers = ['NVHPCFCompiler']
class NVHPCFCompiler(FCompiler):
""" NVIDIA High Performance Computing (HPC) SDK Fortran Compiler
https://developer.nvidia.com/hpc-sdk
Since august 2020 the NVIDIA HPC SDK includes the compilers formerly known as The Po... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/fcompiler/pg.py | # http://www.pgroup.com
import sys
from numpy.distutils.fcompiler import FCompiler
from sys import platform
from os.path import join, dirname, normpath
compilers = ['PGroupFCompiler', 'PGroupFlangCompiler']
class PGroupFCompiler(FCompiler):
compiler_type = 'pg'
description = 'Portland Group Fortran Compile... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/fcompiler/gnu.py | import re
import os
import sys
import warnings
import platform
import tempfile
import hashlib
import base64
import subprocess
from subprocess import Popen, PIPE, STDOUT
from numpy.distutils.exec_command import filepath_from_subprocess_output
from numpy.distutils.fcompiler import FCompiler
from distutils.version import ... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/fcompiler/mips.py | from numpy.distutils.cpuinfo import cpu
from numpy.distutils.fcompiler import FCompiler
compilers = ['MIPSFCompiler']
class MIPSFCompiler(FCompiler):
compiler_type = 'mips'
description = 'MIPSpro Fortran Compiler'
version_pattern = r'MIPSpro Compilers: Version (?P<version>[^\s*,]*)'
executables = {... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/fcompiler/compaq.py |
#http://www.compaq.com/fortran/docs/
import os
import sys
from numpy.distutils.fcompiler import FCompiler
from distutils.errors import DistutilsPlatformError
compilers = ['CompaqFCompiler']
if os.name != 'posix' or sys.platform[:6] == 'cygwin' :
# Otherwise we'd get a false positive on posix systems with
# c... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/fcompiler/arm.py | import sys
from numpy.distutils.fcompiler import FCompiler, dummy_fortran_file
from sys import platform
from os.path... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/fcompiler/ibm.py | import os
import re
import sys
import subprocess
from numpy.distutils.fcompiler import FCompiler
from numpy.distutils.exec_command import find_executable
from numpy.distutils.misc_util import make_temp_file
from distutils import log
compilers = ['IBMFCompiler']
class IBMFCompiler(FCompiler):
compiler_type = 'ibm... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/fcompiler/vast.py | import os
from numpy.distutils.fcompiler.gnu import GnuFCompiler
compilers = ['VastFCompiler']
class VastFCompiler(GnuFCompiler):
compiler_type = 'vast'
compiler_aliases = ()
description = 'Pacific-Sierra Research Fortran 90 Compiler'
version_pattern = (r'\s*Pacific-Sierra Research vf90 '
... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/fcompiler/pathf95.py | from numpy.distutils.fcompiler import FCompiler
compilers = ['PathScaleFCompiler']
class PathScaleFCompiler(FCompiler):
compiler_type = 'pathf95'
description = 'PathScale Fortran Compiler'
version_pattern = r'PathScale\(TM\) Compiler Suite: Version (?P<version>[\d.]+)'
executables = {
'vers... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/fcompiler/none.py | from numpy.distutils.fcompiler import FCompiler
from numpy.distutils import customized_fcompiler
compilers = ['NoneFCompiler']
class NoneFCompiler(FCompiler):
compiler_type = 'none'
description = 'Fake Fortran compiler'
executables = {'compiler_f77': None,
'compiler_f90': None,
... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/fcompiler/lahey.py | import os
from numpy.distutils.fcompiler import FCompiler
compilers = ['LaheyFCompiler']
class LaheyFCompiler(FCompiler):
compiler_type = 'lahey'
description = 'Lahey/Fujitsu Fortran 95 Compiler'
version_pattern = r'Lahey/Fujitsu Fortran 95 Compiler Release (?P<version>[^\s*]*)'
executables = {
... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/fcompiler/sun.py | from numpy.distutils.ccompiler import simple_version_match
from numpy.distutils.fcompiler import FCompiler
compilers = ['SunFCompiler']
class SunFCompiler(FCompiler):
compiler_type = 'sun'
description = 'Sun or Forte Fortran 95 Compiler'
# ex:
# f90: Sun WorkShop 6 update 2 Fortran 95 6.2 Patch 11169... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/fcompiler/hpux.py | from numpy.distutils.fcompiler import FCompiler
compilers = ['HPUXFCompiler']
class HPUXFCompiler(FCompiler):
compiler_type = 'hpux'
description = 'HP Fortran 90 Compiler'
version_pattern = r'HP F90 (?P<version>[^\s*,]*)'
executables = {
'version_cmd' : ["f90", "+version"],
'compil... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/fcompiler/g95.py | # http://g95.sourceforge.net/
from numpy.distutils.fcompiler import FCompiler
compilers = ['G95FCompiler']
class G95FCompiler(FCompiler):
compiler_type = 'g95'
description = 'G95 Fortran Compiler'
# version_pattern = r'G95 \((GCC (?P<gccversion>[\d.]+)|.*?) \(g95!\) (?P<version>.*)\).*'
# $ g95 --vers... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/fcompiler/nag.py | import sys
import re
from numpy.distutils.fcompiler import FCompiler
compilers = ['NAGFCompiler', 'NAGFORCompiler']
class BaseNAGFCompiler(FCompiler):
version_pattern = r'NAG.* Release (?P<version>[^(\s]*)'
def version_match(self, version_string):
m = re.search(self.version_pattern, version_string)
... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/fcompiler/absoft.py |
# Absoft Corporation ceased operations on 12/31/2022.
# Thus, all links to <http://www.absoft.com> are invalid.
# Notes:
# - when using -g77 then use -DUNDERSCORE_G77 to compile f2py
# generated extension modules (works for f2py v2.45.241_1936 and up)
import os
from numpy.distutils.cpuinfo import cpu
from numpy.di... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/fcompiler/intel.py | # http://developer.intel.com/software/products/compilers/flin/
import sys
from numpy.distutils.ccompiler import simple_version_match
from numpy.distutils.fcompiler import FCompiler, dummy_fortran_file
compilers = ['IntelFCompiler', 'IntelVisualFCompiler',
'IntelItaniumFCompiler', 'IntelItaniumVisualFComp... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/fcompiler/environment.py | import os
from distutils.dist import Distribution
__metaclass__ = type
class EnvironmentConfig:
def __init__(self, distutils_section='ALL', **kw):
self._distutils_section = distutils_section
self._conf_keys = kw
self._conf = None
self._hook_handler = None
def dump_variable(sel... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/fcompiler/__init__.py | """numpy.distutils.fcompiler
Contains FCompiler, an abstract base class that defines the interface
for the numpy.distutils Fortran compiler abstraction model.
Terminology:
To be consistent, where the term 'executable' is used, it means the single
file, like 'gcc', that is executed, and should be a string. In contras... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/fcompiler/fujitsu.py | """
fujitsu
Supports Fujitsu compiler function.
This compiler is developed by Fujitsu and is used in A64FX on Fugaku.
"""
from numpy.distutils.fcompiler import FCompiler
compilers = ['FujitsuFCompiler']
class FujitsuFCompiler(FCompiler):
compiler_type = 'fujitsu'
description = 'Fujitsu Fortran Compiler'
... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/tests/test_fcompiler_nagfor.py | from numpy.testing import assert_
import numpy.distutils.fcompiler
nag_version_strings = [('nagfor', 'NAG Fortran Compiler Release '
'6.2(Chiyoda) Build 6200', '6.2'),
('nagfor', 'NAG Fortran Compiler Release '
'6.1(Tozai) Build 6136', '6.1'),
... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/tests/test_from_template.py |
from numpy.distutils.from_template import process_str
from numpy.testing import assert_equal
pyf_src = """
python module foo
<_rd=real,double precision>
interface
subroutine <s,d>foosub(tol)
<_rd>, intent(in,out) :: tol
end subroutine <s,d>foosub
end interface
end python modul... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/tests/test_fcompiler_intel.py | import numpy.distutils.fcompiler
from numpy.testing import assert_
intel_32bit_version_strings = [
("Intel(R) Fortran Intel(R) 32-bit Compiler Professional for applications"
"running on Intel(R) 32, Version 11.1", '11.1'),
]
intel_64bit_version_strings = [
("Intel(R) Fortran IA-64 Compiler Professional ... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/tests/test_shell_utils.py | import pytest
import subprocess
import json
import sys
from numpy.distutils import _shell_utils
from numpy.testing import IS_WASM
argv_cases = [
[r'exe'],
[r'path/exe'],
[r'path\exe'],
[r'\\server\path\exe'],
[r'path to/exe'],
[r'path to\exe'],
[r'exe', '--flag'],
[r'path/exe', '--fla... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/tests/test_npy_pkg_config.py | import os
from numpy.distutils.npy_pkg_config import read_config, parse_flags
from numpy.testing import temppath, assert_
simple = """\
[meta]
Name = foo
Description = foo lib
Version = 0.1
[default]
cflags = -I/usr/include
libs = -L/usr/lib
"""
simple_d = {'cflags': '-I/usr/include', 'libflags': '-L/usr/lib',
... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/tests/test_log.py | import io
import re
from contextlib import redirect_stdout
import pytest
from numpy.distutils import log
def setup_module():
f = io.StringIO() # changing verbosity also logs here, capture that
with redirect_stdout(f):
log.set_verbosity(2, force=True) # i.e. DEBUG
def teardown_module():
log.s... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/tests/test_system_info.py | import os
import shutil
import pytest
from tempfile import mkstemp, mkdtemp
from subprocess import Popen, PIPE
import importlib.metadata
from distutils.errors import DistutilsError
from numpy.testing import assert_, assert_equal, assert_raises
from numpy.distutils import ccompiler, customized_ccompiler
from numpy.dist... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/tests/test_fcompiler.py | from numpy.testing import assert_
import numpy.distutils.fcompiler
customizable_flags = [
('f77', 'F77FLAGS'),
('f90', 'F90FLAGS'),
('free', 'FREEFLAGS'),
('arch', 'FARCH'),
('debug', 'FDEBUG'),
('flags', 'FFLAGS'),
('linker_so', 'LDFLAGS'),
]
def test_fcompiler_flags(monkeypatch):
mo... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/tests/test_build_ext.py | '''Tests for numpy.distutils.build_ext.'''
import os
import subprocess
import sys
from textwrap import indent, dedent
import pytest
from numpy.testing import IS_WASM
@pytest.mark.skipif(IS_WASM, reason="cannot start subprocess in wasm")
@pytest.mark.slow
def test_multi_fortran_libs_link(tmp_path):
'''
Ensures... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/tests/test_misc_util.py | from os.path import join, sep, dirname
from numpy.distutils.misc_util import (
appendpath, minrelpath, gpaths, get_shared_lib_extension, get_info
)
from numpy.testing import (
assert_, assert_equal
)
ajoin = lambda *paths: join(*((sep,)+paths))
class TestAppendpath:
def test_1(self):
ass... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/tests/test_exec_command.py | import os
import pytest
import sys
from tempfile import TemporaryFile
from numpy.distutils import exec_command
from numpy.distutils.exec_command import get_pythonexe
from numpy.testing import tempdir, assert_, assert_warns, IS_WASM
# In python 3 stdout, stderr are text (unicode compliant) devices, so to
# emulate th... | 0 |
public_repos/numpy/numpy/distutils | public_repos/numpy/numpy/distutils/tests/test_mingw32ccompiler.py | import shutil
import subprocess
import sys
import pytest
from numpy.distutils import mingw32ccompiler
@pytest.mark.skipif(sys.platform != 'win32', reason='win32 only test')
def test_build_import():
'''Test the mingw32ccompiler.build_import_library, which builds a
`python.a` from the MSVC `python.lib`
'''... | 0 |
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