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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/datetime/numpy/testing | public_repos/datetime/numpy/testing/tests/test_utils.py | import warnings
import sys
import numpy as np
from numpy.testing import *
import unittest
class _GenericTest(object):
def _test_equal(self, a, b):
self._assert_func(a, b)
def _test_not_equal(self, a, b):
try:
self._assert_func(a, b)
passed = True
except Asserti... | 0 |
public_repos/datetime | public_repos/datetime/benchmarks/sorting.py | from benchmark import Benchmark
modules = ['numpy','Numeric','numarray']
b = Benchmark(modules,runs=3,reps=100)
N = 10000
b.title = 'Sorting %d elements' % N
b['numarray'] = ('a=np.array(None,shape=%d,typecode="i");a.sort()'%N,'')
b['numpy'] = ('a=np.empty(shape=%d, dtype="i");a.sort()'%N,'')
b['Numeric'] = ('a=np.em... | 0 |
public_repos/datetime | public_repos/datetime/benchmarks/casting.py | from benchmark import Benchmark
modules = ['numpy','Numeric','numarray']
b = Benchmark(modules,
title='Casting a (10,10) integer array to float.',
runs=3,reps=10000)
N = [10,10]
b['numpy'] = ('b = a.astype(int)',
'a=numpy.zeros(shape=%s,dtype=float)' % N)
b['Numeric'] = ('b ... | 0 |
public_repos/datetime | public_repos/datetime/benchmarks/creating.py | from benchmark import Benchmark
modules = ['numpy','Numeric','numarray']
N = [10,10]
b = Benchmark(modules,
title='Creating %s zeros.' % N,
runs=3,reps=10000)
b['numpy'] = ('a=np.zeros(shape,type)', 'shape=%s;type=float' % N)
b['Numeric'] = ('a=np.zeros(shape,type)', 'shape=%s;type=np.Flo... | 0 |
public_repos/datetime | public_repos/datetime/benchmarks/simpleindex.py | import timeit
# This is to show that NumPy is a poorer choice than nested Python lists
# if you are writing nested for loops.
# This is slower than Numeric was but Numeric was slower than Python lists were
# in the first place.
N = 30
code2 = r"""
for k in xrange(%d):
for l in xrange(%d):
res = a[k,l]... | 0 |
public_repos/datetime | public_repos/datetime/benchmarks/benchmark.py | from timeit import Timer
class Benchmark(dict):
"""Benchmark a feature in different modules."""
def __init__(self,modules,title='',runs=3,reps=1000):
self.module_test = dict((m,'') for m in modules)
self.runs = runs
self.reps = reps
self.title = title
def __setitem__(self,... | 0 |
public_repos/datetime | public_repos/datetime/tools/commitstats.py |
# Run svn log -l <some number>
import re
import numpy as np
import os
names = re.compile(r'r\d+\s[|]\s(.*)\s[|]\s200')
def get_count(filename, repo):
mystr = open(filename).read()
result = names.findall(mystr)
u = np.unique(result)
count = [(x,result.count(x),repo) for x in u]
return count
... | 0 |
public_repos/datetime | public_repos/datetime/tools/py3tool.py | #!/usr/bin/env python3
# -*- python -*-
"""
%prog SUBMODULE...
Hack to pipe submodules of Numpy through 2to3 and build them in-place
one-by-one.
Example usage:
python3 tools/py3tool.py testing distutils core
This will copy files to _py3k/numpy, add a dummy __init__.py and
version.py on the top level, and copy a... | 0 |
public_repos/datetime/tools | public_repos/datetime/tools/numpy-macosx-installer/README.txt | This is a set of scripts used to build the new numpy .dmg installer with
documentation.
The actual content of the dmg is to be put in content: documentation go into
the Documentation subdir, and the .mpkg installer for numpuy itself in the
content directory. The name of the installer should match exactly the one in
th... | 0 |
public_repos/datetime/tools | public_repos/datetime/tools/numpy-macosx-installer/new-create-dmg | #! /bin/bash
SRC_FOLDER=content
VOLUME_NAME=numpy
DMG_TEMP_NAME=numpy.tmp.dmg
title="${VOLUME_NAME}"
applicationName=numpy-1.4.0.dev-py2.6.mpkg
finalDMGName=numpy.dmg
backgroundPictureName=dmgbackground.png
WINX=100
WINY=100
WINW=600
WINH=600
ICON_SIZE=128
BACKGROUND_FILE=art/dmgbackground.png
NUMPY_MPKG=""
while te... | 0 |
public_repos/datetime/tools/numpy-macosx-installer | public_repos/datetime/tools/numpy-macosx-installer/art/dmgbackground.svg | <?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!-- Generator: Adobe Illustrator 12.0.1, SVG Export Plug-In . SVG Version: 6.00 Build 51448) -->
<svg
xmlns:i="http://ns.adobe.com/AdobeIllustrator/10.0/"
xmlns:dc="http://purl.org/dc/elements/1.1/"
xmlns:cc="http://creativecommons.org/ns#"
xmlns:rdf=... | 0 |
public_repos/datetime/tools | public_repos/datetime/tools/win32build/README.txt | This directory contains various scripts and code to build binaries installers for
windows.
It can:
- prepare a bootstrap environment to build binary in a self-contained
directory
- build binaries for different architectures using different site.cfg
- prepare a nsis-based installer whi... | 0 |
public_repos/datetime/tools | public_repos/datetime/tools/win32build/doall.py | import subprocess
import os
if __name__ == '__main__':
from optparse import OptionParser
parser = OptionParser()
parser.add_option("-p", "--pyver", dest="pyver",
help = "Python version (2.4, 2.5, etc...)")
opts, args = parser.parse_args()
pyver = opts.pyver
if not pyver:... | 0 |
public_repos/datetime/tools | public_repos/datetime/tools/win32build/prepare_bootstrap.py | import os
import subprocess
import shutil
from os.path import join as pjoin, split as psplit, dirname
from zipfile import ZipFile
import re
def get_sdist_tarball():
"""Return the name of the installer built by wininst command."""
# Yeah, the name logic is harcoded in distutils. We have to reproduce it
# he... | 0 |
public_repos/datetime/tools | public_repos/datetime/tools/win32build/build.py | """Python script to build windows binaries to be fed to the "superpack".
The script is pretty dumb: it assumes python executables are installed the
standard way, and the location for blas/lapack/atlas is harcoded."""
# TODO:
# - integrate the x86analysis script to check built binaries
# - make the config configurab... | 0 |
public_repos/datetime/tools/win32build | public_repos/datetime/tools/win32build/misc/x86analysis.py | #! /usr/bin/env python
# Last Change: Sat Mar 28 02:00 AM 2009 J
# Try to identify instruction set used in binary (x86 only). This works by
# checking the assembly for instructions specific to sse, etc... Obviously,
# this won't work all the times (for example, if some instructions are used
# only after proper detecti... | 0 |
public_repos/datetime/tools/win32build/misc | public_repos/datetime/tools/win32build/misc/msvcrt90/yop.sh | PATH=/cygdive/c/Mingw-w64/bin:$PATH
gcc -DRUNTIME=msvcr90 -D__msvcr90__=1 -D__MSVCRT__ -C -E -P -xc-header msvcrt.def.in > msvcr90.def
dlltool --as=as -k --dllname msvcr90.dll --output-lib libmsvcr90.a --def msvcr90.def
for key in printf fprintf sprintf vprintf vfprintf vsprintf; do
src=`nm libmsvcr90.a | sed -n -e ... | 0 |
public_repos/datetime/tools/win32build/misc | public_repos/datetime/tools/win32build/misc/msvcrt90/msvcrt.def.in | ;
; __FILENAME__
; created from msvcrt.def.in
;* This file has no copyright assigned and is placed in the Public Domain.
;* This file is a part of the mingw-runtime package.
;* No warranty is given; refer to the file DISCLAIMER within the package.
;
; Exports from msvcrt.dll, msvcr70.dll, msvcr71.dll, msvcr80.dll a... | 0 |
public_repos/datetime/tools/win32build | public_repos/datetime/tools/win32build/nsis_scripts/numpy-superinstaller.nsi.in | ;--------------------------------
;Include Modern UI
!include "MUI2.nsh"
;SetCompress off ; Useful to disable compression under development
SetCompressor /Solid LZMA ; Useful to disable compression under development
; Include FileFunc for command line parsing options
!include "FileFunc.nsh"
!insertmacro GetParameter... | 0 |
public_repos/datetime/tools/win32build | public_repos/datetime/tools/win32build/cpuid/test.c | #include <stdio.h>
#include "cpuid.h"
int main()
{
cpu_caps_t *cpuinfo;
cpuinfo = malloc(sizeof(*cpuinfo));
if (cpuinfo == NULL) {
fprintf(stderr, "Error allocating\n");
}
cpuid_get_caps(cpuinfo);
printf("This cpu string is %s\n", cpuinfo->vendor);
if (cpuinfo->has_mmx) {
printf("This cpu has mmx instr... | 0 |
public_repos/datetime/tools/win32build | public_repos/datetime/tools/win32build/cpuid/cpuid.h | #ifndef _GABOU_CPUID_H
#define _GABOU_CPUID_H
#include <stdlib.h>
#define CPUID_VENDOR_STRING_LEN 12
struct _cpu_caps {
int has_cpuid;
int has_mmx;
int has_sse;
int has_sse2;
int has_sse3;
char vendor[CPUID_VENDOR_STRING_LEN+1];
};
typedef struct _cpu_caps cpu_caps_t;
int cpuid_get_caps(cpu_caps_t *cpuinfo... | 0 |
public_repos/datetime/tools/win32build | public_repos/datetime/tools/win32build/cpuid/SConstruct | env = Environment(tools = ['mingw'])
#libcpuid = env.SharedLibrary('cpuid', source = ['cpuid.c'])
#test = env.Program('test', source = ['test.c'], LIBS = libcpuid, RPATH = ['.'])
test = env.Program('test', source = ['test.c', 'cpuid.c'])
| 0 |
public_repos/datetime/tools/win32build | public_repos/datetime/tools/win32build/cpuid/cpuid.c | /*
* TODO:
* - test for cpuid availability
* - test for OS support (tricky)
*/
#include <stdlib.h>
#include <stdint.h>
#include <string.h>
#include "cpuid.h"
#ifndef __GNUC__
#error "Sorry, this code can only be compiled with gcc for now"
#endif
/*
* SIMD: SSE 1, 2 and 3, MMX
*/
#define CPUID_FLAG_MMX 1 <<... | 0 |
public_repos/datetime/tools/win32build | public_repos/datetime/tools/win32build/cpucaps/cpucaps_main.h | #ifndef _EXDLL_H_
#define _EXDLL_H_
#include <windows.h>
#if defined(__GNUC__)
#define UNUSED __attribute__((unused))
#else
#define UNUSED
#endif
// only include this file from one place in your DLL.
// (it is all static, if you use it in two places it will fail)
#define EXDLL_INIT() { \
g_string... | 0 |
public_repos/datetime/tools/win32build | public_repos/datetime/tools/win32build/cpucaps/cpucaps_main.c | #include <stdio.h>
#include <windows.h>
#include "cpucaps_main.h"
#include "cpuid.h"
HINSTANCE g_hInstance;
HWND g_hwndParent;
#define CPUID_FAILED "Unknown"
/*
* if val is true, str is the "Y" string, otherwise the "N" string
*/
static int _set_bool_str(int val, char* str)
{
if (val) {
str[0] = 'Y';
} el... | 0 |
public_repos/datetime/tools/win32build | public_repos/datetime/tools/win32build/cpucaps/SConstruct | env = Environment(tools = ['mingw'])
env.Append(CPPPATH = ['../cpuid'])
env.Append(CFLAGS = ['-W', '-Wall'])
cpuplug = env.SharedLibrary('cpucaps', source = ['cpucaps_main.c', '../cpuid/cpuid.c'])
cpuplug_install = env.InstallAs('C:\Program Files\NSIS\Plugins\CpuCaps.dll', cpuplug[0])
env.Alias('install', cpuplug_ins... | 0 |
public_repos/datetime/tools | public_repos/datetime/tools/c_coverage/HOWTO_C_COVERAGE.txt | ===============
C coverage tool
===============
This directory contains a tool to generate C code-coverage reports
using valgrind's callgrind tool.
Prerequisites
-------------
* `Valgrind <http://www.valgrind.org/>`_ (3.5.0 tested, earlier
versions may work)
* `Pygments <http://www.pygments.org/>`_ (0.11 or la... | 0 |
public_repos/datetime/tools | public_repos/datetime/tools/c_coverage/c_coverage_report.py | #!/usr/bin/env python
"""
A script to create C code-coverage reports based on the output of
valgrind's callgrind tool.
"""
import optparse
import os
import re
import sys
from xml.sax.saxutils import quoteattr, escape
try:
import pygments
if tuple([int(x) for x in pygments.__version__.split('.')]) < (0, 11):
... | 0 |
public_repos/datetime/tools | public_repos/datetime/tools/c_coverage/c_coverage_collect.sh | #!/usr/bin/env bash
valgrind --tool=callgrind --compress-strings=no --compress-pos=no --collect-jumps=yes "$@"
| 0 |
public_repos/datetime/tools | public_repos/datetime/tools/osxbuild/README.txt | ==================================
Building an OSX binary for numpy
==================================
This directory contains the scripts to build a universal binary for
OSX. The binaries work on OSX 10.4 and 10.5.
The docstring in build.py may contain more current details.
Requirements
============
* bdist_mpkg... | 0 |
public_repos/datetime/tools | public_repos/datetime/tools/osxbuild/install_and_test.py | #!/usr/bin/env python
"""Install the built package and run the tests."""
import os
# FIXME: Should handle relative import better!
#from .build import DIST_DIR
from build import SRC_DIR, DIST_DIR, shellcmd
clrgreen = '\033[0;32m'
clrnull = '\033[0m'
# print '\033[0;32m foobar \033[0m'
def color_print(msg):
"""Add... | 0 |
public_repos/datetime/tools | public_repos/datetime/tools/osxbuild/build.py | """Python script to build the OSX universal binaries.
This is a simple script, most of the heavy lifting is done in bdist_mpkg.
To run this script: 'python build.py'
Requires a svn version of numpy is installed, svn is used to revert
file changes made to the docs for the end-user install. Installer is
built using ... | 0 |
public_repos/datetime/tools/osxbuild | public_repos/datetime/tools/osxbuild/docs/README.txt | NumPy is the fundamental package needed for scientific computing with Python.
This package contains:
* a powerful N-dimensional array object
* sophisticated (broadcasting) functions
* tools for integrating C/C++ and Fortran code
* useful linear algebra, Fourier transform, and random number capabilitie... | 0 |
public_repos/datetime/branding | public_repos/datetime/branding/icons/numpylogoicon.svg | <?xml version="1.0" encoding="utf-8"?>
<!-- Generator: Adobe Illustrator 12.0.1, SVG Export Plug-In . SVG Version: 6.00 Build 51448) -->
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd" [
<!ENTITY ns_extend "http://ns.adobe.com/Extensibility/1.0/">
<!ENTITY ns_ai "htt... | 0 |
public_repos/datetime/branding | public_repos/datetime/branding/icons/numpylogo.svg | <?xml version="1.0" encoding="utf-8"?>
<!-- Generator: Adobe Illustrator 12.0.1, SVG Export Plug-In . SVG Version: 6.00 Build 51448) -->
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd" [
<!ENTITY ns_extend "http://ns.adobe.com/Extensibility/1.0/">
<!ENTITY ns_ai "htt... | 0 |
public_repos/datetime | public_repos/datetime/doc/summarize.py | #!/usr/bin/env python
"""
summarize.py
Show a summary about which Numpy functions are documented and which are not.
"""
import os, glob, re, sys, inspect, optparse
sys.path.append(os.path.join(os.path.dirname(__file__), 'sphinxext'))
from sphinxext.phantom_import import import_phantom_module
from sphinxext.autosumm... | 0 |
public_repos/datetime | public_repos/datetime/doc/ufuncs.txt | BUFFERED General Ufunc explanation
==================================
.. note::
This was implemented already, but the notes are kept here for historical
and explanatory purposes.
We need to optimize the section of ufunc code that handles mixed-type
and misbehaved arrays. In particular, we need to fix it so that... | 0 |
public_repos/datetime | public_repos/datetime/doc/HOWTO_DOCUMENT.txt | ====================================
A Guide to NumPy/SciPy Documentation
====================================
.. Contents::
.. Note::
For an accompanying example, see `example.py
<http://svn.scipy.org/svn/numpy/trunk/doc/example.py>`_.
Overview
--------
In general, we follow the standard Python style convent... | 0 |
public_repos/datetime | public_repos/datetime/doc/Makefile | # Makefile for Sphinx documentation
#
PYVER =
PYTHON = python$(PYVER)
# You can set these variables from the command line.
SPHINXOPTS =
SPHINXBUILD = LANG=C sphinx-build
PAPER =
NEED_AUTOSUMMARY = $(shell $(PYTHON) -c 'import sphinx; print sphinx.__version__ < "0.7" and "1" or ""')
# Internal variables... | 0 |
public_repos/datetime | public_repos/datetime/doc/example.py | """This is the docstring for the example.py module. Modules names should
have short, all-lowercase names. The module name may have underscores if
this improves readability.
Every module should have a docstring at the very top of the file. The
module's docstring may extend over multiple lines. If your docstring doe... | 0 |
public_repos/datetime | public_repos/datetime/doc/EXAMPLE_DOCSTRING.txt | .. Here follows an example docstring for a C-function. Note that the
signature is given. This is done only for functions written is C,
since Python cannot find their signature by inspection. For all
other functions, start with the one line description.
multivariate_normal(mean, cov[, shape])
Draw samples... | 0 |
public_repos/datetime | public_repos/datetime/doc/records.txt |
The ndarray supports records intrinsically. None of the default
descriptors have fields defined, but you can create new descriptors
easily. The ndarray even supports nested arrays of records inside of
a record. Any record that the array protocol can describe can be
represented. The ndarray also supports partial fi... | 0 |
public_repos/datetime | public_repos/datetime/doc/CAPI.txt | ===============
C-API for NumPy
===============
:Author: Travis Oliphant
:Discussions to: `numpy-discussion@scipy.org`__
:Created: October 2005
__ http://www.scipy.org/Mailing_Lists
The C API of NumPy is (mostly) backward compatible with Numeric.
There are a few non-standard Numeric usages (that w... | 0 |
public_repos/datetime | public_repos/datetime/doc/DISTUTILS.txt | .. -*- rest -*-
NumPy Distutils - Users Guide
=============================
.. contents::
SciPy structure
'''''''''''''''
Currently SciPy project consists of two packages:
- NumPy (previously called SciPy core) --- it provides packages like:
+ numpy.distutils - extension to Python distutils
+ numpy.f2py - a t... | 0 |
public_repos/datetime | public_repos/datetime/doc/TESTS.txt | .. -*- rest -*-
NumPy/SciPy Testing Guidelines
==============================
.. contents::
Introduction
''''''''''''
SciPy uses the `Nose testing system
<http://www.somethingaboutorange.com/mrl/projects/nose>`__, with some
minor convenience features added. Nose is an extension of the unit
testing framework offere... | 0 |
public_repos/datetime | public_repos/datetime/doc/HOWTO_RELEASE.txt | This file gives an overview of what is necessary to build binary releases for
NumPy on OS X. Windows binaries are built here using Wine, they can of course
also be built on Windows itself. Building OS X binaries on another platform is
not possible.
Current build and release info
==============================
The curr... | 0 |
public_repos/datetime | public_repos/datetime/doc/Py3K.txt | .. -*-rst-*-
*********************************************
Developer notes on the transition to Python 3
*********************************************
:date: 2009-12-05
:author: Charles R. Harris
:author: Pauli Virtanen
General
=======
If you work on Py3 transition, please try to keep this document up-to-date.
Res... | 0 |
public_repos/datetime | public_repos/datetime/doc/postprocess.py | #!/usr/bin/env python
"""
%prog MODE FILES...
Post-processes HTML and Latex files output by Sphinx.
MODE is either 'html' or 'tex'.
"""
import re, optparse
def main():
p = optparse.OptionParser(__doc__)
options, args = p.parse_args()
if len(args) < 1:
p.error('no mode given')
mode = args.po... | 0 |
public_repos/datetime | public_repos/datetime/doc/HOWTO_BUILD_DOCS.txt | =========================================
Building the NumPy API and reference docs
=========================================
We currently use Sphinx_ for generating the API and reference
documentation for Numpy. You will need Sphinx 0.5 or newer. Sphinx's
current development version also works as of now (2009-06-24)... | 0 |
public_repos/datetime | public_repos/datetime/doc/HOWTO_MERGE_WIKI_DOCS.txt | ========================================
Merging documentation back from Doc-Wiki
========================================
This document describes how to merge back docstring edits from the pydocweb
wiki (at http://docs.scipy.org/doc/) to NumPy/SciPy trunk.
Basic steps
-----------
It works like this, both for NumPy a... | 0 |
public_repos/datetime/doc | public_repos/datetime/doc/source/bugs.rst | **************
Reporting bugs
**************
File bug reports or feature requests, and make contributions
(e.g. code patches), by submitting a "ticket" on the Trac pages:
- Numpy Trac: http://scipy.org/scipy/numpy
Because of spam abuse, you must create an account on our Trac in order
to submit a ticket, then click o... | 0 |
public_repos/datetime/doc | public_repos/datetime/doc/source/glossary.rst | ********
Glossary
********
.. toctree::
.. glossary::
.. automodule:: numpy.doc.glossary
Jargon
------
.. automodule:: numpy.doc.jargon
| 0 |
public_repos/datetime/doc | public_repos/datetime/doc/source/contents.rst | #####################
Numpy manual contents
#####################
.. toctree::
user/index
reference/index
release
about
bugs
license
glossary
| 0 |
public_repos/datetime/doc | public_repos/datetime/doc/source/about.rst | About NumPy
===========
`NumPy <http://www.scipy.org/NumpPy/>`__ is the fundamental package
needed for scientific computing with Python. This package contains:
- a powerful N-dimensional :ref:`array object <arrays>`
- sophisticated :ref:`(broadcasting) functions <ufuncs>`
- basic :ref:`linear algebra functions <routi... | 0 |
public_repos/datetime/doc | public_repos/datetime/doc/source/release.rst | *************
Release Notes
*************
.. include:: ../release/1.3.0-notes.rst
| 0 |
public_repos/datetime/doc | public_repos/datetime/doc/source/conf.py | # -*- coding: utf-8 -*-
import sys, os, re
# Check Sphinx version
import sphinx
if sphinx.__version__ < "0.5":
raise RuntimeError("Sphinx 0.5.dev or newer required")
# -----------------------------------------------------------------------------
# General configuration
# -----------------------------------------... | 0 |
public_repos/datetime/doc | public_repos/datetime/doc/source/license.rst | *************
Numpy License
*************
Copyright (c) 2005, NumPy Developers
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... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/routines.char.rst | String operations
*****************
.. currentmodule:: numpy.core.defchararray
This module provides a set of vectorized string operations for arrays
of type `numpy.string_` or `numpy.unicode_`. All of them are based on
the string methods in the Python standard library.
String operations
-----------------
.. autos... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/arrays.scalars.rst | .. _arrays.scalars:
*******
Scalars
*******
.. currentmodule:: numpy
Python defines only one type of a particular data class (there is only
one integer type, one floating-point type, etc.). This can be
convenient in applications that don't need to be concerned with all
the ways data can be represented in a computer.... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/routines.bitwise.rst | Binary operations
*****************
.. currentmodule:: numpy
Elementwise bit operations
--------------------------
.. autosummary::
:toctree: generated/
bitwise_and
bitwise_or
bitwise_xor
invert
left_shift
right_shift
Bit packing
-----------
.. autosummary::
:toctree: generated/
packbits... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/distutils.rst | **********************************
Packaging (:mod:`numpy.distutils`)
**********************************
.. module:: numpy.distutils
NumPy provides enhanced distutils functionality to make it easier to
build and install sub-packages, auto-generate code, and extension
modules that use Fortran-compiled libraries. To us... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/c-api.array.rst | Array API
=========
.. sectionauthor:: Travis E. Oliphant
| The test of a first-rate intelligence is the ability to hold two
| opposed ideas in the mind at the same time, and still retain the
| ability to function.
| --- *F. Scott Fitzgerald*
| For a successful technology, reality must take precedence... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/c-api.rst | .. _c-api:
###########
Numpy C-API
###########
.. sectionauthor:: Travis E. Oliphant
| Beware of the man who won't be bothered with details.
| --- *William Feather, Sr.*
| The truth is out there.
| --- *Chris Carter, The X Files*
NumPy provides a C-API to enable users to extend the system and get
acce... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/routines.numarray.rst | **********************************************
Numarray compatibility (:mod:`numpy.numarray`)
**********************************************
.. automodule:: numpy.numarray
| 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/routines.indexing.rst | .. _routines.indexing:
Indexing routines
=================
.. seealso:: :ref:`Indexing <arrays.indexing>`
.. currentmodule:: numpy
Generating index arrays
-----------------------
.. autosummary::
:toctree: generated/
c_
r_
s_
nonzero
where
indices
ix_
ogrid
unravel_index
diag_indic... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/routines.financial.rst | Financial functions
*******************
.. currentmodule:: numpy
Simple financial functions
--------------------------
.. autosummary::
:toctree: generated/
fv
pv
npv
pmt
ppmt
ipmt
irr
mirr
nper
rate
| 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/arrays.dtypes.rst | .. currentmodule:: numpy
.. _arrays.dtypes:
**********************************
Data type objects (:class:`dtype`)
**********************************
A data type object (an instance of :class:`numpy.dtype` class)
describes how the bytes in the fixed-size block of memory
corresponding to an array item should be interp... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/routines.err.rst | Floating point error handling
*****************************
.. currentmodule:: numpy
Setting and getting error handling
----------------------------------
.. autosummary::
:toctree: generated/
seterr
geterr
seterrcall
geterrcall
errstate
Internal functions
------------------
.. autosummary::
... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/maskedarray.rst | .. _maskedarray:
*************
Masked arrays
*************
Masked arrays are arrays that may have missing or invalid entries.
The :mod:`numpy.ma` module provides a nearly work-alike replacement for numpy
that supports data arrays with masks.
.. index::
single: masked arrays
.. toctree::
:maxdepth: 2
maske... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/maskedarray.generic.rst | .. currentmodule:: numpy.ma
.. _maskedarray.generic:
The :mod:`numpy.ma` module
==========================
Rationale
---------
Masked arrays are arrays that may have missing or invalid entries.
The :mod:`numpy.ma` module provides a nearly work-alike replacement for numpy
that supports data arrays with masks.
W... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/routines.random.rst | .. _routines.random:
Random sampling (:mod:`numpy.random`)
*************************************
.. currentmodule:: numpy.random
Simple random data
==================
.. autosummary::
:toctree: generated/
rand
randn
randint
random_integers
random_sample
bytes
Permutations
============
.. autos... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/routines.dtype.rst | .. _routines.dtype:
Data type routines
==================
.. currentmodule:: numpy
.. autosummary::
:toctree: generated/
can_cast
common_type
obj2sctype
Creating data types
-------------------
.. autosummary::
:toctree: generated/
dtype
format_parser
Data type information
-----------------... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/routines.ctypeslib.rst | ***********************************************************
C-Types Foreign Function Interface (:mod:`numpy.ctypeslib`)
***********************************************************
.. currentmodule:: numpy.ctypeslib
.. autofunction:: as_array
.. autofunction:: as_ctypes
.. autofunction:: ctypes_load_library
.. autofun... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/routines.array-creation.rst | .. _routines.array-creation:
Array creation routines
=======================
.. seealso:: :ref:`Array creation <arrays.creation>`
.. currentmodule:: numpy
Ones and zeros
--------------
.. autosummary::
:toctree: generated/
empty
empty_like
eye
identity
ones
ones_like
zeros
zeros_like
Fr... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/routines.window.rst | Window functions
================
.. currentmodule:: numpy
Various windows
---------------
.. autosummary::
:toctree: generated/
bartlett
blackman
hamming
hanning
kaiser
| 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/c-api.types-and-structures.rst | *****************************
Python Types and C-Structures
*****************************
.. sectionauthor:: Travis E. Oliphant
Several new types are defined in the C-code. Most of these are
accessible from Python, but a few are not exposed due to their limited
use. Every new Python type has an associated :ctype:`PyO... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/routines.statistics.rst | Statistics
==========
.. currentmodule:: numpy
Extremal values
---------------
.. autosummary::
:toctree: generated/
amin
amax
nanmax
nanmin
ptp
Averages and variances
----------------------
.. autosummary::
:toctree: generated/
average
mean
median
std
var
Correlating
------... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/routines.linalg.rst | .. _routines.linalg:
Linear algebra (:mod:`numpy.linalg`)
************************************
.. currentmodule:: numpy
Matrix and vector products
--------------------------
.. autosummary::
:toctree: generated/
dot
vdot
inner
outer
tensordot
linalg.matrix_power
kron
Decompositions
--------... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/routines.testing.rst | Test Support (:mod:`numpy.testing`)
===================================
.. currentmodule:: numpy.testing
Common test support for all numpy test scripts.
This single module should provide all the common functionality for numpy
tests in a single location, so that test scripts can just import it and
work right away.
... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/routines.logic.rst | Logic functions
***************
.. currentmodule:: numpy
Truth value testing
-------------------
.. autosummary::
:toctree: generated/
all
any
Array contents
--------------
.. autosummary::
:toctree: generated/
isfinite
isinf
isnan
isneginf
isposinf
Array type testing
------------------... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/routines.other.rst | Miscellaneous routines
**********************
.. toctree::
.. currentmodule:: numpy
Buffer objects
--------------
.. autosummary::
:toctree: generated/
getbuffer
newbuffer
Performance tuning
------------------
.. autosummary::
:toctree: generated/
alterdot
restoredot
setbufsize
getbufsize
| 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/index.rst | .. _reference:
###############
NumPy Reference
###############
:Release: |version|
:Date: |today|
.. module:: numpy
This reference manual details functions, modules, and objects
included in Numpy, describing what they are and what they do.
For learning how to use NumPy, see also :ref:`user`.
.. toctree::
:maxd... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/routines.emath.rst | Mathematical functions with automatic domain (:mod:`numpy.emath`)
***********************************************************************
.. currentmodule:: numpy
.. note:: :mod:`numpy.emath` is a preferred alias for :mod:`numpy.lib.scimath`,
available after :mod:`numpy` is imported.
.. automodule:: numpy.... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/internals.rst | ***************
Numpy internals
***************
.. toctree::
internals.code-explanations
.. automodule:: numpy.doc.internals
| 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/routines.fft.rst | .. _routines.fft:
.. automodule:: numpy.fft
| 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/routines.dual.rst | Optionally Scipy-accelerated routines (:mod:`numpy.dual`)
*********************************************************
.. automodule:: numpy.dual
Linear algebra
--------------
.. currentmodule:: numpy.linalg
.. autosummary::
cholesky
det
eig
eigh
eigvals
eigvalsh
inv
lstsq
norm
pinv
s... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/arrays.indexing.rst | .. _arrays.indexing:
Indexing
========
.. sectionauthor:: adapted from "Guide to Numpy" by Travis E. Oliphant
.. currentmodule:: numpy
.. index:: indexing, slicing
:class:`ndarrays <ndarray>` can be indexed using the standard Python
``x[obj]`` syntax, where *x* is the array and *obj* the selection.
There are three... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/c-api.generalized-ufuncs.rst | ==================================
Generalized Universal Function API
==================================
There is a general need for looping over not only functions on scalars
but also over functions on vectors (or arrays), as explained on
http://scipy.org/scipy/numpy/wiki/GeneralLoopingFunctions. We propose
to reali... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/routines.io.rst | Input and output
****************
.. currentmodule:: numpy
NPZ files
---------
.. autosummary::
:toctree: generated/
load
save
savez
Text files
----------
.. autosummary::
:toctree: generated/
loadtxt
savetxt
genfromtxt
fromregex
fromstring
ndarray.tofile
ndarray.tolist
String ... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/routines.set.rst | Set routines
============
.. currentmodule:: numpy
Making proper sets
------------------
.. autosummary::
:toctree: generated/
unique
Boolean operations
------------------
.. autosummary::
:toctree: generated/
in1d
intersect1d
setdiff1d
setxor1d
union1d
| 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/arrays.ndarray.rst | .. _arrays.ndarray:
******************************************
The N-dimensional array (:class:`ndarray`)
******************************************
.. currentmodule:: numpy
An :class:`ndarray` is a (usually fixed-size) multidimensional
container of items of the same type and size. The number of dimensions
and items... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/routines.matlib.rst | Matrix library (:mod:`numpy.matlib`)
************************************
.. currentmodule:: numpy
This module contains all functions in the :mod:`numpy` namespace, with
the following replacement functions that return :class:`matrices
<matrix>` instead of :class:`ndarrays <ndarray>`.
.. automodule:: numpy.matlib
| 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/c-api.dtype.rst | Data Type API
=============
.. sectionauthor:: Travis E. Oliphant
The standard array can have 21 different data types (and has some
support for adding your own types). These data types all have an
enumerated type, an enumerated type-character, and a corresponding
array scalar Python type object (placed in a hierarchy... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/c-api.ufunc.rst | UFunc API
=========
.. sectionauthor:: Travis E. Oliphant
.. index::
pair: ufunc; C-API
Constants
---------
.. cvar:: UFUNC_ERR_{HANDLER}
``{HANDLER}`` can be **IGNORE**, **WARN**, **RAISE**, or **CALL**
.. cvar:: UFUNC_{THING}_{ERR}
``{THING}`` can be **MASK**, **SHIFT**, or **FPE**, and ``{ERR}`` c... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/c-api.coremath.rst | Numpy core libraries
====================
.. sectionauthor:: David Cournapeau
.. versionadded:: 1.3.0
Starting from numpy 1.3.0, we are working on separating the pure C,
"computational" code from the python dependent code. The goal is twofolds:
making the code cleaner, and enabling code reuse by other extensions out... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/routines.oldnumeric.rst | ***************************************************
Old Numeric compatibility (:mod:`numpy.oldnumeric`)
***************************************************
.. currentmodule:: numpy
.. automodule:: numpy.oldnumeric
| 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/routines.help.rst | .. _routines.help:
Numpy-specific help functions
=============================
.. currentmodule:: numpy
Finding help
------------
.. autosummary::
:toctree: generated/
lookfor
Reading help
------------
.. autosummary::
:toctree: generated/
info
source
| 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/routines.rst | ********
Routines
********
In this chapter routine docstrings are presented, grouped by functionality.
Many docstrings contain example code, which demonstrates basic usage
of the routine. The examples assume that NumPy is imported with::
>>> import numpy as np
A convenient way to execute examples is the ``%doctest... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/routines.math.rst | Mathematical functions
**********************
.. currentmodule:: numpy
Trigonometric functions
-----------------------
.. autosummary::
:toctree: generated/
sin
cos
tan
arcsin
arccos
arctan
hypot
arctan2
degrees
radians
unwrap
deg2rad
rad2deg
Hyperbolic functions
----------... | 0 |
public_repos/datetime/doc/source | public_repos/datetime/doc/source/reference/ufuncs.rst | .. sectionauthor:: adapted from "Guide to Numpy" by Travis E. Oliphant
.. _ufuncs:
************************************
Universal functions (:class:`ufunc`)
************************************
.. note: XXX: section might need to be made more reference-guideish...
.. currentmodule:: numpy
.. index: ufunc, universa... | 0 |
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