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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/datetime | public_repos/datetime/numpy/dual.py | """
Aliases for functions which may be accelerated by Scipy.
Scipy_ can be built to use accelerated or otherwise improved libraries
for FFTs, linear algebra, and special functions. This module allows
developers to transparently support these accelerated functions when
scipy is available but still support users who hav... | 0 |
public_repos/datetime | public_repos/datetime/numpy/setup.py | #!/usr/bin/env python
def configuration(parent_package='',top_path=None):
from numpy.distutils.misc_util import Configuration
config = Configuration('numpy',parent_package,top_path)
config.add_subpackage('distutils')
config.add_subpackage('testing')
config.add_subpackage('f2py')
config.add_subp... | 0 |
public_repos/datetime | public_repos/datetime/numpy/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... | 0 |
public_repos/datetime | public_repos/datetime/numpy/matlib.py | import numpy as np
from numpy.matrixlib.defmatrix import matrix, asmatrix
# need * as we're copying the numpy namespace
from numpy import *
__version__ = np.__version__
__all__ = np.__all__[:] # copy numpy namespace
__all__ += ['rand', 'randn', 'repmat']
def empty(shape, dtype=None, order='C'):
"""
Return a ... | 0 |
public_repos/datetime | public_repos/datetime/numpy/setupscons.py | #!/usr/bin/env python
from os.path import join as pjoin
def configuration(parent_package='', top_path=None):
from numpy.distutils.misc_util import Configuration
from numpy.distutils.misc_util import scons_generate_config_py
pkgname = 'numpy'
config = Configuration(pkgname, parent_package, top_path,
... | 0 |
public_repos/datetime | public_repos/datetime/numpy/ctypeslib.py | """
============================
``ctypes`` Utility Functions
============================
See Also
---------
load_library : Load a C library.
ndpointer : Array restype/argtype with verification.
as_ctypes : Create a ctypes array from an ndarray.
as_array : Create an ndarray from a ctypes array.
References
----------... | 0 |
public_repos/datetime | public_repos/datetime/numpy/__init__.py | """
NumPy
=====
Provides
1. An array object of arbitrary homogeneous items
2. Fast mathematical operations over arrays
3. Linear Algebra, Fourier Transforms, Random Number Generation
How to use the documentation
----------------------------
Documentation is available in two forms: docstrings provided
with the c... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/random/setup.py | from os.path import join, split, dirname
import os
import sys
from distutils.dep_util import newer
from distutils.msvccompiler import get_build_version as get_msvc_build_version
def needs_mingw_ftime_workaround():
# We need the mingw workaround for _ftime if the msvc runtime version is
# 7.1 or above and we bu... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/random/setupscons.py | import glob
from os.path import join, split
def configuration(parent_package='',top_path=None):
from numpy.distutils.misc_util import Configuration, get_mathlibs
config = Configuration('random',parent_package,top_path)
source_files = [join('mtrand', i) for i in ['mtrand.c',
... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/random/info.py | """
========================
Random Number Generation
========================
==================== =========================================================
Utility functions
==============================================================================
random Uniformly distributed values of a given sha... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/random/SConscript | # Last Change: Wed Nov 19 09:00 PM 2008 J
# vim:syntax=python
import os
from numscons import GetNumpyEnvironment, scons_get_mathlib
from setup import needs_mingw_ftime_workaround
def CheckWincrypt(context):
from copy import deepcopy
src = """\
/* check to see if _WIN32 is defined */
int main(int argc, char *... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/random/SConstruct | from numscons import GetInitEnvironment
GetInitEnvironment(ARGUMENTS).DistutilsSConscript('SConscript')
| 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/random/__init__.py | """
========================
Random Number Generation
========================
==================== =========================================================
Utility functions
==============================================================================
random Uniformly distributed values of a given sha... | 0 |
public_repos/datetime/numpy/random | public_repos/datetime/numpy/random/mtrand/initarray.c | /*
* These function have been adapted from Python 2.4.1's _randommodule.c
*
* The following changes have been made to it in 2005 by Robert Kern:
*
* * init_by_array has been declared extern, has a void return, and uses the
* rk_state structure to hold its data.
*
* The original file has the following ver... | 0 |
public_repos/datetime/numpy/random | public_repos/datetime/numpy/random/mtrand/distributions.c | /* Copyright 2005 Robert Kern (robert.kern@gmail.com)
*
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the
* "Software"), to deal in the Software without restriction, including
* without limitation the rights to use, copy, modif... | 0 |
public_repos/datetime/numpy/random | public_repos/datetime/numpy/random/mtrand/randomkit.c | /* Random kit 1.3 */
/*
* Copyright (c) 2003-2005, Jean-Sebastien Roy (js@jeannot.org)
*
* The rk_random and rk_seed functions algorithms and the original design of
* the Mersenne Twister RNG:
*
* Copyright (C) 1997 - 2002, Makoto Matsumoto and Takuji Nishimura,
* All rights reserved.
*
* Redistribution... | 0 |
public_repos/datetime/numpy/random | public_repos/datetime/numpy/random/mtrand/randomkit.h | /* Random kit 1.3 */
/*
* Copyright (c) 2003-2005, Jean-Sebastien Roy (js@jeannot.org)
*
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the
* "Software"), to deal in the Software without restriction, including
* without limita... | 0 |
public_repos/datetime/numpy/random | public_repos/datetime/numpy/random/mtrand/mtrand.pyx | # mtrand.pyx -- A Pyrex wrapper of Jean-Sebastien Roy's RandomKit
#
# Copyright 2005 Robert Kern (robert.kern@gmail.com)
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the
# "Software"), to deal in the Software without restriction,... | 0 |
public_repos/datetime/numpy/random | public_repos/datetime/numpy/random/mtrand/initarray.h | #include "randomkit.h"
extern void
init_by_array(rk_state *self, unsigned long init_key[],
unsigned long key_length);
| 0 |
public_repos/datetime/numpy/random | public_repos/datetime/numpy/random/mtrand/mtrand.c | /* Generated by Cython 0.12 on Mon Feb 22 20:43:03 2010 */
#define PY_SSIZE_T_CLEAN
#include "Python.h"
#include "structmember.h"
#ifndef Py_PYTHON_H
#error Python headers needed to compile C extensions, please install development version of Python.
#else
#ifndef PY_LONG_LONG
#define PY_LONG_LONG LONG_LONG
#endi... | 0 |
public_repos/datetime/numpy/random | public_repos/datetime/numpy/random/mtrand/numpy.pxi | # :Author: Travis Oliphant
cdef extern from "numpy/arrayobject.h":
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
... | 0 |
public_repos/datetime/numpy/random | public_repos/datetime/numpy/random/mtrand/distributions.h | /* Copyright 2005 Robert Kern (robert.kern@gmail.com)
*
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the
* "Software"), to deal in the Software without restriction, including
* without limitation the rights to use, copy, modif... | 0 |
public_repos/datetime/numpy/random | public_repos/datetime/numpy/random/mtrand/mtrand_py_helper.h | #ifndef _MTRAND_PY_HELPER_H_
#define _MTRAND_PY_HELPER_H_
#include <Python.h>
static PyObject *empty_py_bytes(unsigned long length, void **bytes)
{
PyObject *b;
#if PY_MAJOR_VERSION >= 3
b = PyBytes_FromStringAndSize(NULL, length);
if (b) {
*bytes = PyBytes_AS_STRING(b);
}
#else
b = PyStri... | 0 |
public_repos/datetime/numpy/random | public_repos/datetime/numpy/random/mtrand/Python.pxi | # :Author: Robert Kern
# :Copyright: 2004, Enthought, Inc.
# :License: BSD Style
cdef extern from "Python.h":
# Not part of the Python API, but we might as well define it here.
# Note that the exact type doesn't actually matter for Pyrex.
ctypedef int size_t
# String API
char* PyString_AsStr... | 0 |
public_repos/datetime/numpy/random | public_repos/datetime/numpy/random/mtrand/generate_mtrand_c.py | #!/usr/bin/env python
import sys
import re
import os
unused_internal_funcs = ['__Pyx_PrintItem',
'__Pyx_PrintNewline',
'__Pyx_ReRaise',
#'__Pyx_GetExcValue',
'__Pyx_ArgTypeTest',
'__Pyx_SetVtabl... | 0 |
public_repos/datetime/numpy/random | public_repos/datetime/numpy/random/tests/test_random.py | from numpy.testing import *
from numpy import random
import numpy as np
class TestRegression(TestCase):
def test_VonMises_range(self):
"""Make sure generated random variables are in [-pi, pi].
Regression test for ticket #986.
"""
for mu in np.linspace(-7., 7., 5):
r = ... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/oldnumeric/rng.py | # This module re-creates the RNG interface from Numeric
# Replace import RNG with import numpy.oldnumeric.rng as RNG
#
# It is for backwards compatibility only.
__all__ = ['CreateGenerator','ExponentialDistribution','LogNormalDistribution',
'NormalDistribution', 'UniformDistribution', 'error', 'ranf',
... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/oldnumeric/mlab.py | # This module is for compatibility only. All functions are defined elsewhere.
__all__ = ['rand', 'tril', 'trapz', 'hanning', 'rot90', 'triu', 'diff', 'angle',
'roots', 'ptp', 'kaiser', 'randn', 'cumprod', 'diag', 'msort',
'LinearAlgebra', 'RandomArray', 'prod', 'std', 'hamming', 'flipud',
... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/oldnumeric/functions.py | # Functions that should behave the same as Numeric and need changing
import numpy as np
import numpy.core.multiarray as mu
import numpy.core.numeric as nn
from typeconv import convtypecode, convtypecode2
__all__ = ['take', 'repeat', 'sum', 'product', 'sometrue', 'alltrue',
'cumsum', 'cumproduct', 'compress... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/oldnumeric/user_array.py |
from numpy.oldnumeric import *
from numpy.lib.user_array import container as UserArray
import numpy.oldnumeric as nold
__all__ = nold.__all__[:]
__all__ += ['UserArray']
del nold
| 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/oldnumeric/matrix.py | # This module is for compatibility only.
__all__ = ['UserArray', 'squeeze', 'Matrix', 'asarray', 'dot', 'k', 'Numeric', 'LinearAlgebra', 'identity', 'multiply', 'types', 'string']
import types
from user_array import UserArray, asarray
import numpy.oldnumeric as Numeric
from numpy.oldnumeric import dot, identity, mult... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/oldnumeric/alter_code1.py | """
This module converts code written for Numeric to run with numpy
Makes the following changes:
* Changes import statements (warns of use of from Numeric import *)
* Changes import statements (using numerix) ...
* Makes search and replace changes to:
- .typecode()
- .iscontiguous()
- .byteswapped()
- .... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/oldnumeric/ma.py | """MA: a facility for dealing with missing observations
MA is generally used as a numpy.array look-alike.
by Paul F. Dubois.
Copyright 1999, 2000, 2001 Regents of the University of California.
Released for unlimited redistribution.
Adapted for numpy_core 2005 by Travis Oliphant and
(mainly) Paul Dubois.
"""
import ty... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/oldnumeric/misc.py | # Functions that already have the correct syntax or miscellaneous functions
__all__ = ['sort', 'copy_reg', 'clip', 'rank',
'sign', 'shape', 'types', 'allclose', 'size',
'choose', 'swapaxes', 'array_str',
'pi', 'math', 'concatenate', 'putmask', 'put',
'around', 'vdot', 'tran... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/oldnumeric/setup.py |
def configuration(parent_package='',top_path=None):
from numpy.distutils.misc_util import Configuration
config = Configuration('oldnumeric',parent_package,top_path)
config.add_data_dir('tests')
return config
if __name__ == '__main__':
from numpy.distutils.core import setup
setup(configuration=... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/oldnumeric/setupscons.py |
def configuration(parent_package='',top_path=None):
from numpy.distutils.misc_util import Configuration
return Configuration('oldnumeric',parent_package,top_path)
if __name__ == '__main__':
from numpy.distutils.core import setup
setup(configuration=configuration)
| 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/oldnumeric/fix_default_axis.py | """
This module adds the default axis argument to code which did not specify it
for the functions where the default was changed in NumPy.
The functions changed are
add -1 ( all second argument)
======
nansum
nanmax
nanmin
nanargmax
nanargmin
argmax
argmin
compress 3
add 0
======
take 3
repeat 3
sum #... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/oldnumeric/typeconv.py | __all__ = ['oldtype2dtype', 'convtypecode', 'convtypecode2', 'oldtypecodes']
import numpy as np
oldtype2dtype = {'1': np.dtype(np.byte),
's': np.dtype(np.short),
# 'i': np.dtype(np.intc),
# 'l': np.dtype(int),
# 'b': np.dtype(np.ubyte),
... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/oldnumeric/arrayfns.py | """Backward compatible with arrayfns from Numeric
"""
__all__ = ['array_set', 'construct3', 'digitize', 'error', 'find_mask',
'histogram', 'index_sort', 'interp', 'nz', 'reverse', 'span',
'to_corners', 'zmin_zmax']
import numpy as np
from numpy import asarray
class error(Exception):
pass
d... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/oldnumeric/precision.py | # Lifted from Precision.py. This is for compatibility only.
#
# The character strings are still for "new" NumPy
# which is the only Incompatibility with Numeric
__all__ = ['Character', 'Complex', 'Float',
'PrecisionError', 'PyObject', 'Int', 'UInt',
'UnsignedInt', 'UnsignedInteger', 'string',... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/oldnumeric/linear_algebra.py | """Backward compatible with LinearAlgebra from Numeric
"""
# This module is a lite version of the linalg.py module in SciPy which contains
# high-level Python interface to the LAPACK library. The lite version
# only accesses the following LAPACK functions: dgesv, zgesv, dgeev,
# zgeev, dgesdd, zgesdd, dgelsd, zgelsd, ... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/oldnumeric/ufuncs.py | __all__ = ['less', 'cosh', 'arcsinh', 'add', 'ceil', 'arctan2', 'floor_divide',
'fmod', 'hypot', 'logical_and', 'power', 'sinh', 'remainder', 'cos',
'equal', 'arccos', 'less_equal', 'divide', 'bitwise_or',
'bitwise_and', 'logical_xor', 'log', 'subtract', 'invert',
'negative',... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/oldnumeric/random_array.py | # Backward compatible module for RandomArray
__all__ = ['ArgumentError','F','beta','binomial','chi_square', 'exponential',
'gamma', 'get_seed', 'mean_var_test', 'multinomial',
'multivariate_normal', 'negative_binomial', 'noncentral_F',
'noncentral_chi_square', 'normal', 'permutation', ... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/oldnumeric/rng_stats.py |
__all__ = ['average', 'histogram', 'standardDeviation', 'variance']
import numpy.oldnumeric as Numeric
def average(data):
data = Numeric.array(data)
return Numeric.add.reduce(data)/len(data)
def variance(data):
data = Numeric.array(data)
return Numeric.add.reduce((data-average(data,axis=0))**2)/(len... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/oldnumeric/compat.py | # Compatibility module containing deprecated names
__all__ = ['NewAxis',
'UFuncType', 'UfuncType', 'ArrayType', 'arraytype',
'LittleEndian', 'arrayrange', 'matrixmultiply',
'array_constructor', 'pickle_array',
'DumpArray', 'LoadArray', 'multiarray',
# from cPickle... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/oldnumeric/array_printer.py |
__all__ = ['array2string']
from numpy import array2string as _array2string
def array2string(a, max_line_width=None, precision=None,
suppress_small=None, separator=' ',
array_output=0):
if array_output:
prefix="array("
style=repr
else:
prefix = ""
... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/oldnumeric/fft.py |
__all__ = ['fft', 'fft2d', 'fftnd', 'hermite_fft', 'inverse_fft',
'inverse_fft2d', 'inverse_fftnd',
'inverse_hermite_fft', 'inverse_real_fft',
'inverse_real_fft2d', 'inverse_real_fftnd',
'real_fft', 'real_fft2d', 'real_fftnd']
from numpy.fft import fft
from numpy.fft import... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/oldnumeric/alter_code2.py | """
This module converts code written for numpy.oldnumeric to work
with numpy
FIXME: Flesh this out.
Makes the following changes:
* Converts typecharacters '1swu' to 'bhHI' respectively
when used as typecodes
* Changes import statements
* Change typecode= to dtype=
* Eliminates savespace=xxx keyword arguments... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/oldnumeric/__init__.py | # Don't add these to the __all__ variable though
from numpy import *
def _move_axis_to_0(a, axis):
if axis == 0:
return a
n = len(a.shape)
if axis < 0:
axis += n
axes = range(1, axis+1) + [0,] + range(axis+1, n)
return transpose(a, axes)
# Add these
from compat import *
from functi... | 0 |
public_repos/datetime/numpy/oldnumeric | public_repos/datetime/numpy/oldnumeric/tests/test_regression.py | from numpy.testing import *
rlevel = 1
class TestRegression(TestCase):
def test_numeric_random(self, level=rlevel):
"""Ticket #552"""
from numpy.oldnumeric.random_array import randint
randint(0,50,[2,3])
| 0 |
public_repos/datetime/numpy/oldnumeric | public_repos/datetime/numpy/oldnumeric/tests/test_oldnumeric.py | import unittest
from numpy.testing import *
from numpy import array
from numpy.oldnumeric import *
from numpy.core.numeric import float32, float64, complex64, complex128, int8, \
int16, int32, int64, uint, uint8, uint16, uint32, uint64
class test_oldtypes(unittest.TestCase):
def test_oldtypes(self, level... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/core/numerictypes.py | """
numerictypes: Define the numeric type objects
This module is designed so "from numerictypes import \\*" is safe.
Exported symbols include:
Dictionary with all registered number types (including aliases):
typeDict
Type objects (not all will be available, depends on platform):
see variable sctypes fo... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/core/machar.py | """
Machine arithmetics - determine the parameters of the
floating-point arithmetic system
"""
# Author: Pearu Peterson, September 2003
__all__ = ['MachAr']
from numpy.core.fromnumeric import any
from numpy.core.numeric import seterr
# Need to speed this up...especially for longfloat
class MachAr(object):
"""
... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/core/setup.py | import imp
import os
import sys
import shutil
from os.path import join
from numpy.distutils import log
from distutils.dep_util import newer
from distutils.sysconfig import get_config_var
import warnings
import re
from setup_common import *
# Set to True to enable multiple file compilations (experimental)
try:
os.... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/core/_internal.py | #A place for code to be called from C-code
# that implements more complicated stuff.
import re
import sys
from numpy.compat import asbytes, bytes
if (sys.byteorder == 'little'):
_nbo = asbytes('<')
else:
_nbo = asbytes('>')
def _makenames_list(adict):
from multiarray import dtype
allfields = []
... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/core/setupscons.py | import os
import sys
import glob
from os.path import join, basename
from numpy.distutils import log
from numscons import get_scons_build_dir
def configuration(parent_package='',top_path=None):
from numpy.distutils.misc_util import Configuration,dot_join
from numpy.distutils.command.scons import get_scons_pkg... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/core/info.py | __doc__ = """Defines a multi-dimensional array and useful procedures for Numerical computation.
Functions
- array - NumPy Array construction
- zeros - Return an array of all zeros
- empty - Return an unitialized array
- shape ... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/core/shape_base.py | __all__ = ['atleast_1d','atleast_2d','atleast_3d','vstack','hstack']
import numeric as _nx
from numeric import array, asarray, newaxis
def atleast_1d(*arys):
"""
Convert inputs to arrays with at least one dimension.
Scalar inputs are converted to 1-dimensional arrays, whilst
higher-dimensional inputs... | 0 |
public_repos/datetime/numpy | public_repos/datetime/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/datetime/numpy | public_repos/datetime/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,
such as::
>>> a = np.array([(1, 2.0), (1, 2.0)], dtype=[... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/core/numeric.py | __all__ = ['newaxis', 'ndarray', 'flatiter', 'ufunc',
'arange', 'array', 'zeros', 'empty', 'broadcast', 'dtype',
'fromstring', 'fromfile', 'frombuffer',
'int_asbuffer', 'where', 'argwhere',
'concatenate', 'fastCopyAndTranspose', 'lexsort',
'set_numeric_ops', 'can_c... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/core/memmap.py | __all__ = ['memmap']
import warnings
from numeric import uint8, ndarray, dtype
import sys
from numpy.compat import asbytes
dtypedescr = dtype
valid_filemodes = ["r", "c", "r+", "w+"]
writeable_filemodes = ["r+","w+"]
mode_equivalents = {
"readonly":"r",
"copyonwrite":"c",
"readwrite":"r+",
"write":"... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/core/fromnumeric.py | # Module containing non-deprecated functions borrowed from Numeric.
__docformat__ = "restructuredtext en"
# functions that are now methods
__all__ = ['take', 'reshape', 'choose', 'repeat', 'put',
'swapaxes', 'transpose', 'sort', 'argsort', 'argmax', 'argmin',
'searchsorted', 'alen',
'r... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/core/function_base.py | __all__ = ['logspace', 'linspace']
import numeric as _nx
from numeric import array
def linspace(start, stop, num=50, endpoint=True, retstep=False):
"""
Return evenly spaced numbers over a specified interval.
Returns `num` evenly spaced samples, calculated over the
interval [`start`, `stop` ].
Th... | 0 |
public_repos/datetime/numpy | public_repos/datetime/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/datetime/numpy | public_repos/datetime/numpy/core/SConscript | # Last Change: Sun Apr 26 05:00 PM 2009 J
# vim:syntax=python
import os
import sys
from os.path import join as pjoin, basename as pbasename, dirname as pdirname
from copy import deepcopy
from numscons import get_pythonlib_dir
from numscons import GetNumpyEnvironment
from numscons import CheckCBLAS
from numscons import... | 0 |
public_repos/datetime/numpy | public_repos/datetime/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/datetime/numpy | public_repos/datetime/numpy/core/scons_support.py | #! Last Change: Sun Apr 26 05:00 PM 2009 J
"""Code to support special facilities to scons which are only useful for
numpy.core, hence not put into numpy.distutils.scons"""
import sys
import os
from os.path import join as pjoin, dirname as pdirname, basename as pbasename
from copy import deepcopy
import code_generat... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/core/SConstruct | from numscons import GetInitEnvironment
GetInitEnvironment(ARGUMENTS).DistutilsSConscript('SConscript')
| 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/core/arrayprint.py | """Array printing function
$Id: arrayprint.py,v 1.9 2005/09/13 13:58:44 teoliphant Exp $
"""
__all__ = ["array2string", "set_printoptions", "get_printoptions"]
__docformat__ = 'restructuredtext'
#
# Written by Konrad Hinsen <hinsenk@ere.umontreal.ca>
# last revision: 1996-3-13
# modified by Jim Hugunin 1997-3-3 for r... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/core/__init__.py |
from info import __doc__
from numpy.version import version as __version__
import multiarray
import umath
import _internal # for freeze programs
import numerictypes as nt
multiarray.set_typeDict(nt.sctypeDict)
import _sort
from numeric import *
from fromnumeric import *
import defchararray as char
import records as re... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/core/getlimits.py | """ Machine limits for Float32 and Float64 and (long double) if available...
"""
__all__ = ['finfo','iinfo']
from machar import MachAr
import numeric
import numerictypes as ntypes
from numeric import array
def _frz(a):
"""fix rank-0 --> rank-1"""
if a.ndim == 0: a.shape = (1,)
return a
_convert_to_float... | 0 |
public_repos/datetime/numpy | public_repos/datetime/numpy/core/setup_common.py | # Code shared by distutils and scons builds
import sys
from os.path import join
import warnings
import copy
import binascii
from distutils.ccompiler import CompileError
#-------------------
# Versioning support
#-------------------
# How to change C_API_VERSION ?
# - increase C_API_VERSION value
# - record the ha... | 0 |
public_repos/datetime/numpy/core/include | public_repos/datetime/numpy/core/include/numpy/arrayobject.h |
/* This expects the following variables to be defined (besides
the usual ones from pyconfig.h
SIZEOF_LONG_DOUBLE -- sizeof(long double) or sizeof(double) if no
long double is present on platform.
CHAR_BIT -- number of bits in a char (usually 8)
(sho... | 0 |
public_repos/datetime/numpy/core/include | public_repos/datetime/numpy/core/include/numpy/oldnumeric.h | #include "arrayobject.h"
#ifndef REFCOUNT
# define REFCOUNT NPY_REFCOUNT
# define MAX_ELSIZE 16
#endif
#define PyArray_UNSIGNED_TYPES
#define PyArray_SBYTE PyArray_BYTE
#define PyArray_CopyArray PyArray_CopyInto
#define _PyArray_multiply_list PyArray_MultiplyIntList
#define PyArray_ISSPACESAVER(m) NPY_FALSE
#define... | 0 |
public_repos/datetime/numpy/core/include | public_repos/datetime/numpy/core/include/numpy/arrayscalars.h | #ifndef _NPY_ARRAYSCALARS_H_
#define _NPY_ARRAYSCALARS_H_
#ifndef _MULTIARRAYMODULE
typedef struct {
PyObject_HEAD
npy_bool obval;
} PyBoolScalarObject;
#endif
typedef struct {
PyObject_HEAD
signed char obval;
} PyByteScalarObject;
typedef struct {
PyObject_HEAD
shor... | 0 |
public_repos/datetime/numpy/core/include | public_repos/datetime/numpy/core/include/numpy/npy_os.h | #ifndef _NPY_OS_H_
#define _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 __FreeBSD__
#define NPY_OS_FREEBSD
... | 0 |
public_repos/datetime/numpy/core/include | public_repos/datetime/numpy/core/include/numpy/npy_math.h | #ifndef __NPY_MATH_C99_H_
#define __NPY_MATH_C99_H_
#include <math.h>
#include <numpy/npy_common.h>
/*
* NAN and INFINITY like macros (same behavior as glibc for NAN, same as C99
* for INFINITY)
*
* XXX: I should test whether INFINITY and NAN are available on the platform
*/
NPY_INLINE static float __npy_inff(vo... | 0 |
public_repos/datetime/numpy/core/include | public_repos/datetime/numpy/core/include/numpy/ufuncobject.h | #ifndef Py_UFUNCOBJECT_H
#define Py_UFUNCOBJECT_H
#ifdef __cplusplus
extern "C" {
#endif
typedef void (*PyUFuncGenericFunction) (char **, npy_intp *, npy_intp *, void *);
typedef struct {
PyObject_HEAD
int nin, nout, nargs;
int identity;
PyUFuncGenericFunction *functions;
void ... | 0 |
public_repos/datetime/numpy/core/include | public_repos/datetime/numpy/core/include/numpy/noprefix.h | #ifndef NPY_NOPREFIX_H
#define NPY_NOPREFIX_H
/* You can directly include noprefix.h as a backward
compatibility measure*/
#ifndef NPY_NO_PREFIX
#include "ndarrayobject.h"
#endif
#define MAX_DIMS NPY_MAXDIMS
#define longlong npy_longlong
#define ulonglong npy_ulonglong
#define Bool npy_bool
#define longd... | 0 |
public_repos/datetime/numpy/core/include | public_repos/datetime/numpy/core/include/numpy/npy_common.h | #ifndef _NPY_COMMON_H_
#define _NPY_COMMON_H_
/* This is auto-generated */
#include "numpyconfig.h"
#if defined(_MSC_VER)
#define NPY_INLINE __inline
#elif defined(__GNUC__)
#define NPY_INLINE inline
#else
#define NPY_INLINE
#endif
/* enums for detected endianness */
enum {
NPY_CPU_UN... | 0 |
public_repos/datetime/numpy/core/include | public_repos/datetime/numpy/core/include/numpy/ndarraytypes.h | #ifndef NDARRAYTYPES_H
#define NDARRAYTYPES_H
/* This is auto-generated by the installer */
#include "numpyconfig.h"
#include "npy_common.h"
#include "npy_endian.h"
#include "utils.h"
#ifdef NPY_ENABLE_SEPARATE_COMPILATION
#define NPY_NO_EXPORT NPY_VISIBILITY_HIDDEN
#else
#define NPY_NO_EXPORT static... | 0 |
public_repos/datetime/numpy/core/include | public_repos/datetime/numpy/core/include/numpy/npy_endian.h | #ifndef _NPY_ENDIAN_H_
#define _NPY_ENDIAN_H_
/*
* NPY_BYTE_ORDER is set to the same value as BYTE_ORDER set by glibc in
* endian.h
*/
#ifdef NPY_HAVE_ENDIAN_H
/* Use endian.h if available */
#include <endian.h>
#define NPY_BYTE_ORDER __BYTE_ORDER
#define NPY_LITTLE_ENDIAN __LITTLE_ENDIAN
#def... | 0 |
public_repos/datetime/numpy/core/include | public_repos/datetime/numpy/core/include/numpy/npy_interrupt.h |
/* 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 Pytho... | 0 |
public_repos/datetime/numpy/core/include | public_repos/datetime/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_SPARC
* NPY_CPU_S390
* NPY_CPU_IA64
* NPY_CPU_HPPA
* ... | 0 |
public_repos/datetime/numpy/core/include | public_repos/datetime/numpy/core/include/numpy/old_defines.h | #define NDARRAY_VERSION NPY_VERSION
#define PyArray_MIN_BUFSIZE NPY_MIN_BUFSIZE
#define PyArray_MAX_BUFSIZE NPY_MAX_BUFSIZE
#define PyArray_BUFSIZE NPY_BUFSIZE
#define PyArray_PRIORITY NPY_PRIORITY
#define PyArray_SUBTYPE_PRIORITY NPY_PRIORITY
#define PyArray_NUM_FLOATTYPE NPY_NUM_FLOATTYPE
#define NPY_MAX PyArray_M... | 0 |
public_repos/datetime/numpy/core/include | public_repos/datetime/numpy/core/include/numpy/ndarrayobject.h | /*
* DON'T INCLUDE THIS DIRECTLY.
*/
#ifndef NPY_NDARRAYOBJECT_H
#define NPY_NDARRAYOBJECT_H
#ifdef __cplusplus
#define CONFUSE_EMACS {
#define CONFUSE_EMACS2 }
extern "C" CONFUSE_EMACS
#undef CONFUSE_EMACS
#undef CONFUSE_EMACS2
/* ... otherwise a semi-smart identer (like emacs) tries to indent
everything whe... | 0 |
public_repos/datetime/numpy/core/include | public_repos/datetime/numpy/core/include/numpy/numpyconfig.h | #ifndef _NPY_NUMPYCONFIG_H_
#define _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
* harcoded
*/
#ifdef __APPLE__
#undef NPY_SIZEOF_LONG
#undef NPY_SIZEOF_PY_I... | 0 |
public_repos/datetime/numpy/core/include | public_repos/datetime/numpy/core/include/numpy/_neighborhood_iterator_imp.h | #ifndef _NPY_INCLUDE_NEIGHBORHOOD_IMP
#error You should not include this header directly
#endif
/*
* Private API (here for inline)
*/
static NPY_INLINE int
_PyArrayNeighborhoodIter_IncrCoord(PyArrayNeighborhoodIterObject* iter);
/*
* Update to next item of the iterator
*
* Note: this simply increment the coordina... | 0 |
public_repos/datetime/numpy/core/include | public_repos/datetime/numpy/core/include/numpy/_numpyconfig.h.in | #ifndef _NPY_NUMPYCONFIG_H_
#error this header should not be included directly, always include numpyconfig.h instead
#endif
#define NPY_SIZEOF_SHORT @SIZEOF_SHORT@
#define NPY_SIZEOF_INT @SIZEOF_INT@
#define NPY_SIZEOF_LONG @SIZEOF_LONG@
#define NPY_SIZEOF_FLOAT @SIZEOF_FLOAT@
#define NP... | 0 |
public_repos/datetime/numpy/core/include | public_repos/datetime/numpy/core/include/numpy/utils.h | #ifndef __NUMPY_UTILS_HEADER__
#define __NUMPY_UTILS_HEADER__
#ifndef __COMP_NPY_UNUSED
#if defined(__GNUC__)
#define __COMP_NPY_UNUSED __attribute__ ((__unused__))
# elif defined(__ICC)
#define __COMP_NPY_UNUSED __attribute__ ((__unused__))
#else
... | 0 |
public_repos/datetime/numpy/core/include/numpy | public_repos/datetime/numpy/core/include/numpy/fenv/fenv.h | /*-
* Copyright (c) 2004 David Schultz <das@FreeBSD.ORG>
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* 1. Redistributions of source code must retain the above copyright
* notice, ... | 0 |
public_repos/datetime/numpy/core/include/numpy | public_repos/datetime/numpy/core/include/numpy/fenv/fenv.c | /*-
* Copyright (c) 2004 David Schultz <das@FreeBSD.ORG>
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
* 1. Redistributions of source code must retain the above copyright
* notice, ... | 0 |
public_repos/datetime/numpy/core | public_repos/datetime/numpy/core/src/scalarmathmodule.c.src | /* -*- c -*- */
/* The purpose of this module is to add faster math for array scalars
that does not go through the ufunc machinery
but still supports error-modes.
*/
#include "Python.h"
#include "numpy/noprefix.h"
#include "numpy/ufuncobject.h"
#include "numpy/arrayscalars.h"
#include "npy_3kcompat.h"
/** nu... | 0 |
public_repos/datetime/numpy/core | public_repos/datetime/numpy/core/src/_sortmodule.c.src | /* -*- c -*- */
/*
* The purpose of this module is to add faster sort functions
* that are type-specific. This is done by altering the
* function table for the builtin descriptors.
*
* These sorting functions are copied almost directly from numarray
* with a few modifications (complex comparisons compare the im... | 0 |
public_repos/datetime/numpy/core/src | public_repos/datetime/numpy/core/src/npymath/npy_math_complex.c.src | /*
* Implement some C99-compatible complex math functions
*
* Most of the code is taken from the msun library in FreeBSD (HEAD @ 30th June
* 2009), under the following license:
*
* Copyright (c) 2007 David Schultz <das@FreeBSD.ORG>
* All rights reserved.
*
* Redistribution and use in source and binary forms, w... | 0 |
public_repos/datetime/numpy/core/src | public_repos/datetime/numpy/core/src/npymath/_signbit.c | /* Adapted from cephes */
int
_npy_signbit_d(double x)
{
union
{
double d;
short s[4];
int i[2];
} u;
u.d = x;
#if SIZEOF_INT == 4
#ifdef WORDS_BIGENDIAN /* defined in pyconfig.h */
return u.i[0] < 0;
#else
return u.i[1] < 0;
#endif
#else /* SIZEOF_INT != 4 */
#ifd... | 0 |
public_repos/datetime/numpy/core/src | public_repos/datetime/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/datetime/numpy/core/src | public_repos/datetime/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"
#ifndef HAVE_COPYSIGN
double npy_copysign(double x, double y)
{
npy_uint32 hx, hy;
GET_HIGH_WORD(hx, x);
GET_HIGH_WORD(hy, y);
SET_HIGH_WORD(x, (hx & 0x7... | 0 |
public_repos/datetime/numpy/core/src | public_repos/datetime/numpy/core/src/npymath/npy_math.c.src | /*
* vim:syntax=c
* A small module to implement missing C99 math capabilities required by numpy
*
* Please keep this independant 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 |
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