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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/doc/swig | public_repos/datetime/doc/swig/test/Array2.h | #ifndef ARRAY2_H
#define ARRAY2_H
#include "Array1.h"
#include <stdexcept>
#include <string>
class Array2
{
public:
// Default constructor
Array2();
// Size/array constructor
Array2(int nrows, int ncols, long* data=0);
// Copy constructor
Array2(const Array2 & source);
// Destructor
~Array2();
... | 0 |
public_repos/datetime/doc/swig | public_repos/datetime/doc/swig/test/testTensor.py | #! /usr/bin/env python
# System imports
from distutils.util import get_platform
from math import sqrt
import os
import sys
import unittest
# Import NumPy
import numpy as np
major, minor = [ int(d) for d in np.__version__.split(".")[:2] ]
if major == 0: BadListError = TypeError
else: BadListErro... | 0 |
public_repos/datetime/doc/swig | public_repos/datetime/doc/swig/test/testFortran.py | #! /usr/bin/env python
# System imports
from distutils.util import get_platform
import os
import sys
import unittest
# Import NumPy
import numpy as np
major, minor = [ int(d) for d in np.__version__.split(".")[:2] ]
if major == 0: BadListError = TypeError
else: BadListError = ValueError
import Fortran
##... | 0 |
public_repos/datetime/doc/swig | public_repos/datetime/doc/swig/test/Array1.h | #ifndef ARRAY1_H
#define ARRAY1_H
#include <stdexcept>
#include <string>
class Array1
{
public:
// Default/length/array constructor
Array1(int length = 0, long* data = 0);
// Copy constructor
Array1(const Array1 & source);
// Destructor
~Array1();
// Assignment operator
Array1 & operator=(const Ar... | 0 |
public_repos/datetime/doc/swig | public_repos/datetime/doc/swig/test/Matrix.i | // -*- c++ -*-
%module Matrix
%{
#define SWIG_FILE_WITH_INIT
#include "Matrix.h"
%}
// Get the NumPy typemaps
%include "../numpy.i"
%init %{
import_array();
%}
%define %apply_numpy_typemaps(TYPE)
%apply (TYPE IN_ARRAY2[ANY][ANY]) {(TYPE matrix[ANY][ANY])};
%apply (TYPE* IN_ARRAY2, int DIM1, int DIM2) {(TYPE* mat... | 0 |
public_repos/datetime/doc/swig | public_repos/datetime/doc/swig/test/Fortran.h | #ifndef FORTRAN_H
#define FORTRAN_H
#define TEST_FUNC_PROTOS(TYPE, SNAME) \
\
TYPE SNAME ## SecondElement( TYPE * matrix, int rows, int cols); \
TEST_FUNC_PROTOS(signed char , schar )
TEST_FUNC_PROTOS(unsigned char , uchar )
TEST_FUNC_PROTOS(short , short )
TEST_FUNC_PROTOS(unsigned ... | 0 |
public_repos/datetime/doc/swig | public_repos/datetime/doc/swig/test/Vector.h | #ifndef VECTOR_H
#define VECTOR_H
// The following macro defines the prototypes for a family of
// functions that work with 1D arrays with the forms
//
// TYPE SNAMELength( TYPE vector[3]);
// TYPE SNAMEProd( TYPE * series, int size);
// TYPE SNAMESum( int size, TYPE * series);
// void SNAMERevers... | 0 |
public_repos/datetime/doc/swig | public_repos/datetime/doc/swig/test/testMatrix.py | #! /usr/bin/env python
# System imports
from distutils.util import get_platform
import os
import sys
import unittest
# Import NumPy
import numpy as np
major, minor = [ int(d) for d in np.__version__.split(".")[:2] ]
if major == 0: BadListError = TypeError
else: BadListError = ValueError
import Matrix
###... | 0 |
public_repos/datetime/doc/swig | public_repos/datetime/doc/swig/test/testFarray.py | #! /usr/bin/env python
# System imports
from distutils.util import get_platform
import os
import sys
import unittest
# Import NumPy
import numpy as np
major, minor = [ int(d) for d in np.__version__.split(".")[:2] ]
if major == 0: BadListError = TypeError
else: BadListError = ValueError
# Add the distutil... | 0 |
public_repos/datetime/doc/swig | public_repos/datetime/doc/swig/test/Fortran.cxx | #include <stdlib.h>
#include <math.h>
#include <iostream>
#include "Fortran.h"
#define TEST_FUNCS(TYPE, SNAME) \
\
TYPE SNAME ## SecondElement(TYPE * matrix, int rows, int cols) { \
TYPE result = matrix[1]; \
return result; \
} ... | 0 |
public_repos/datetime/doc/swig | public_repos/datetime/doc/swig/test/Array.i | // -*- c++ -*-
%module Array
%{
#define SWIG_FILE_WITH_INIT
#include "Array1.h"
#include "Array2.h"
%}
// Get the NumPy typemaps
%include "../numpy.i"
// Get the STL typemaps
%include "stl.i"
// Handle standard exceptions
%include "exception.i"
%exception
{
try
{
$action
}
catch (const std::invalid_ar... | 0 |
public_repos/datetime/doc/swig | public_repos/datetime/doc/swig/test/Matrix.h | #ifndef MATRIX_H
#define MATRIX_H
// The following macro defines the prototypes for a family of
// functions that work with 2D arrays with the forms
//
// TYPE SNAMEDet( TYPE matrix[2][2]);
// TYPE SNAMEMax( TYPE * matrix, int rows, int cols);
// TYPE SNAMEMin( int rows, int cols, TYPE * matrix);
... | 0 |
public_repos/datetime/doc/swig | public_repos/datetime/doc/swig/test/Tensor.i | // -*- c++ -*-
%module Tensor
%{
#define SWIG_FILE_WITH_INIT
#include "Tensor.h"
%}
// Get the NumPy typemaps
%include "../numpy.i"
%init %{
import_array();
%}
%define %apply_numpy_typemaps(TYPE)
%apply (TYPE IN_ARRAY3[ANY][ANY][ANY]) {(TYPE tensor[ANY][ANY][ANY])};
%apply (TYPE* IN_ARRAY3, int DIM1, int DIM2, i... | 0 |
public_repos/datetime/doc/swig | public_repos/datetime/doc/swig/test/testVector.py | #! /usr/bin/env python
# System imports
from distutils.util import get_platform
import os
import sys
import unittest
# Import NumPy
import numpy as np
major, minor = [ int(d) for d in np.__version__.split(".")[:2] ]
if major == 0: BadListError = TypeError
else: BadListError = ValueError
import Vector
###... | 0 |
public_repos/datetime/doc/swig | public_repos/datetime/doc/swig/doc/numpy_swig.html | <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="generator" content="Docutils 0.4: http://... | 0 |
public_repos/datetime/doc/swig | public_repos/datetime/doc/swig/doc/testing.html | <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8" />
<meta name="generator" content="Docutils 0.4: http://... | 0 |
public_repos/datetime/doc/swig | public_repos/datetime/doc/swig/doc/numpy_swig.txt | ==========================================
numpy.i: a SWIG Interface File for NumPy
==========================================
:Author: Bill Spotz
:Institution: Sandia National Laboratories
:Date: 1 December, 2007
.. contents::
Introduction
============
The Simple Wrapper and Interface Generator (or `S... | 0 |
public_repos/datetime/doc/swig | public_repos/datetime/doc/swig/doc/testing.txt | ============================
Testing the numpy.i Typemaps
============================
:Author: Bill Spotz
:Institution: Sandia National Laboratories
:Date: 6 April, 2007
.. contents::
Introduction
============
Writing tests for the ``numpy.i`` `SWIG <http://www.swig.org>`_
interface file is a combinato... | 0 |
public_repos/datetime/doc/swig | public_repos/datetime/doc/swig/doc/Makefile | # ReStructured Text
RST2HTML = rst2html.py
RST2LATEX = rst2latex.py
RFLAGS = --generator --time
HTML_FLAGS = --no-xml-declaration
LATEX_FLAGS =
LATEX = pdflatex
# Web pages that need to be made
WEB_PAGES = numpy_swig.html testing.html
# LaTeX files that need to be made
LATEX_FILES = numpy_swig.tex testing.tex
# PDF ... | 0 |
public_repos/datetime/doc | public_repos/datetime/doc/numpybook/runcode.py | # This script takes a lyx file and runs the python code in it.
# Then rewrites the lyx file again.
#
# Each section of code portion is assumed to be in the same namespace
# where a from numpy import * has been applied
#
# If a PYNEW inside a Note is encountered, the name space is restarted
#
# The output (if any) is ... | 0 |
public_repos/datetime/doc | public_repos/datetime/doc/numpybook/capi.lyx | #LyX 1.5.1 created this file. For more info see http://www.lyx.org/
\lyxformat 276
\begin_document
\begin_header
\textclass mybook
\language english
\inputencoding auto
\font_roman default
\font_sans default
\font_typewriter default
\font_default_family default
\font_sc false
\font_osf false
\font_sf_scale 100
\font_tt... | 0 |
public_repos/datetime/doc | public_repos/datetime/doc/numpybook/numpybook.lyx | #LyX 1.5.1 created this file. For more info see http://www.lyx.org/
\lyxformat 276
\begin_document
\begin_header
\textclass mybook
\begin_preamble
\usepackage{array}
% This gives us a better font in URL links (otherwise the default
% MonoSpace font is bitmapped, and it looks horrible in PDF)
\usepackage{courier}
\... | 0 |
public_repos/datetime/doc/numpybook | public_repos/datetime/doc/numpybook/Figures/threefundamental.eps | %!PS-Adobe-2.0 EPSF-2.0
%%Title: threefundamental.fig
%%Creator: fig2dev Version 3.2 Patchlevel 4
%%CreationDate: Mon Jan 16 15:40:51 2006
%%For: oliphant@den.local.net (Travis Oliphant)
%%BoundingBox: 0 0 438 162
%%Magnification: 1.0000
%%EndComments
/$F2psDict 200 dict def
$F2psDict begin
$F2psDict /mtrx matrix put
/... | 0 |
public_repos/datetime/doc/numpybook | public_repos/datetime/doc/numpybook/Figures/threefundamental.fig | #FIG 3.2
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2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
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2 1 0 1 0 7 50 -... | 0 |
public_repos/datetime/doc/numpybook | public_repos/datetime/doc/numpybook/Figures/contiguous.fig | #FIG 3.2
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2 2 0 3 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
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2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
3300 ... | 0 |
public_repos/datetime/doc/numpybook | public_repos/datetime/doc/numpybook/Figures/hierarchy.eps | %!PS-Adobe-2.0 EPSF-2.0
%%Title: hierarchy.dia
%%Creator: Dia v0.94
%%CreationDate: Wed Jan 4 16:44:07 2006
%%For: oliphant
%%Orientation: Portrait
%%Magnification: 1.0000
%%BoundingBox: 0 0 743 584
%%BeginSetup
%%EndSetup
%%EndComments
%%BeginProlog
[ /.notdef /.notdef /.notdef /.notdef /.notdef /.notdef /.notdef /.n... | 0 |
public_repos/datetime/doc/numpybook | public_repos/datetime/doc/numpybook/Figures/contiguous.eps | %!PS-Adobe-2.0 EPSF-2.0
%%Title: contiguous.fig
%%Creator: fig2dev Version 3.2 Patchlevel 4
%%CreationDate: Thu Aug 18 12:08:29 2005
%%For: oliphant@oliphant (Travis Oliphant)
%%BoundingBox: 0 0 434 215
%%Magnification: 1.0000
%%EndComments
/$F2psDict 200 dict def
$F2psDict begin
$F2psDict /mtrx matrix put
/col-1 {0 se... | 0 |
public_repos/datetime/doc/numpybook | public_repos/datetime/doc/numpybook/comparison/timing.py |
import timeit
pyrex_pre = """
import numpy as N
a = N.random.rand(%d,%d)
import filter
"""
pyrex_run = """
b = filter.filter(a)
"""
weave_pre = """
import numpy as N
a = N.random.rand(%d,%d)
import filter
"""
weave_run = """
b = filter.filter(a)
"""
ctypes_pre = """
import numpy as N
a = N.random.rand(%d,%d)
impo... | 0 |
public_repos/datetime/doc/numpybook/comparison | public_repos/datetime/doc/numpybook/comparison/weave/filter.py | from scipy import weave, zeros_like
def filter(a):
if a.ndim != 2:
raise ValueError, "a must be 2-d"
code = r"""
int i,j;
for(i=1;i<Na[0]-1;i++) {
for(j=1;j<Na[1]-1;j++) {
B2(i,j) = A2(i,j) + (A2(i-1,j) +
A2(i+1,j) + A2(i,j-1)
+ A2... | 0 |
public_repos/datetime/doc/numpybook/comparison | public_repos/datetime/doc/numpybook/comparison/weave/inline.py | from scipy import weave
from numpy import rand, zeros_like
def example1(a):
if not isinstance(a, list):
raise ValueError, "argument must be a list"
code = r"""
int i;
py::tuple results(2);
for (i=0; i<a.length(); i++) {
a[i] = i;
}
... | 0 |
public_repos/datetime/doc/numpybook/comparison | public_repos/datetime/doc/numpybook/comparison/weave/timeme | python2.4 -m timeit -s "import numpy as N; a=N.random.rand(100,200); import filter" "b = filter.filter(a)"
| 0 |
public_repos/datetime/doc/numpybook/comparison | public_repos/datetime/doc/numpybook/comparison/ctypes/newfile.dat | $@ >@ ... | 0 |
public_repos/datetime/doc/numpybook/comparison | public_repos/datetime/doc/numpybook/comparison/ctypes/code.c |
typedef struct {double real; double imag;} cdouble;
typedef struct {double real; double imag;} cfloat;
/* Add arrays of contiguous data */
void zadd(cdouble *a, cdouble *b, cdouble *c, long n)
{
while (n--) {
c->real = a->real + b->real;
c->imag = a->imag + b->imag;
a++; b++; c++;
}
}
void cadd(cfloat *a, ... | 0 |
public_repos/datetime/doc/numpybook/comparison | public_repos/datetime/doc/numpybook/comparison/ctypes/filter.py | __all__ = ['filter2d']
import numpy as N
import os
import ctypes
_path = os.path.dirname('__file__')
lib = N.ctypeslib.load_library('code', _path)
lib.dfilter2d.restype = None
lib.dfilter2d.argtypes = [N.ctypeslib.ndpointer(float, ndim=2,
flags='aligned'),
... | 0 |
public_repos/datetime/doc/numpybook/comparison | public_repos/datetime/doc/numpybook/comparison/ctypes/interface.py | __all__ = ['add', 'filter2d']
import numpy as N
import os
import ctypes
_path = os.path.dirname('__file__')
lib = N.ctypeslib.load_library('code', _path)
_typedict = {'zadd' : complex,
'sadd' : N.single,
'cadd' : N.csingle,
'dadd' : float}
for name in _typedict.keys():
val =... | 0 |
public_repos/datetime/doc/numpybook/comparison | public_repos/datetime/doc/numpybook/comparison/ctypes/timeme | python2.4 -m timeit -s "import numpy as N; a=N.random.rand(100,200); import filter" "b = filter.filter(a)"
| 0 |
public_repos/datetime/doc/numpybook/comparison | public_repos/datetime/doc/numpybook/comparison/f2py/add.pyf | ! -*- f90 -*-
! Note: the context of this file is case sensitive.
python module add ! in
interface ! in :add
subroutine zadd(a,b,c,n) ! in :add:add.f
double complex dimension(n) :: a
double complex dimension(n) :: b
double complex intent(out), dimension(n) :: c
... | 0 |
public_repos/datetime/doc/numpybook/comparison | public_repos/datetime/doc/numpybook/comparison/f2py/filtermodule.c | /* File: filtermodule.c
* This file is auto-generated with f2py (version:2_3032).
* f2py is a Fortran to Python Interface Generator (FPIG), Second Edition,
* written by Pearu Peterson <pearu@cens.ioc.ee>.
* See http://cens.ioc.ee/projects/f2py2e/
* Generation date: Thu Aug 17 12:03:28 2006
* $Revision:$
* $Date:... | 0 |
public_repos/datetime/doc/numpybook/comparison | public_repos/datetime/doc/numpybook/comparison/f2py/add.f | C
SUBROUTINE ZADD(A,B,C,N)
C
DOUBLE COMPLEX A(*)
DOUBLE COMPLEX B(*)
DOUBLE COMPLEX C(*)
INTEGER N
DO 20 J = 1, N
C(J) = A(J) + B(J)
20 CONTINUE
END
SUBROUTINE CADD(A,B,C,N)
C
COMPLEX A(*)
COMPLEX B(*)
COMPLEX C(*)
INTEGER N
DO 2... | 0 |
public_repos/datetime/doc/numpybook/comparison | public_repos/datetime/doc/numpybook/comparison/f2py/filter.f |
SUBROUTINE DFILTER2D(A,B,M,N)
C
DOUBLE PRECISION A(M,N)
DOUBLE PRECISION B(M,N)
INTEGER N, M
CF2PY INTENT(OUT) :: B
CF2PY INTENT(HIDE) :: N
CF2PY INTENT(HIDE) :: M
DO 20 I = 2,M-1
DO 40 J=2,N-1
B(I,J) = A(I,J) +
$ (A(I-1,J)+A(I+1,J) +
$ ... | 0 |
public_repos/datetime/doc/numpybook/comparison | public_repos/datetime/doc/numpybook/comparison/f2py/timeme | python2.4 -m timeit -s "import numpy as N; a=N.random.rand(100,200); import filter" "b=N.zeros_like(a); none = filter.DFILTER2D(a,b)"
| 0 |
public_repos/datetime/doc/numpybook/comparison | public_repos/datetime/doc/numpybook/comparison/f2py/filter.pyf | ! -*- f90 -*-
! Note: the context of this file is case sensitive.
python module filter ! in
interface ! in :filter
subroutine dfilter2d(a,b,m,n) ! in :filter:filter.f
double precision dimension(m,n) :: a
double precision dimension(m,n),intent(out),depend(m,n) :: b
i... | 0 |
public_repos/datetime/doc/numpybook/comparison | public_repos/datetime/doc/numpybook/comparison/pyrex/add.pyx | # -*- Mode: Python -*- Not really, but close enough
cimport c_numpy
from c_numpy cimport import_array, ndarray, npy_intp, npy_cdouble, \
npy_cfloat, NPY_DOUBLE, NPY_CDOUBLE, NPY_FLOAT, \
NPY_CFLOAT
#We need to initialize NumPy
import_array()
def zadd(object ao, object bo):
cdef ndarray c, a, b
cde... | 0 |
public_repos/datetime/doc/numpybook/comparison | public_repos/datetime/doc/numpybook/comparison/pyrex/setup.py | #!/usr/bin/env python
from distutils.core import setup
from distutils.extension import Extension
import numpy
# Define a pyrex-based extension module, using the generated sources if pyrex
from Pyrex.Distutils import build_ext
pyx_sources = ['add.pyx']
cmdclass = {'build_ext': build_ext}
pyx_ext = Extension('add... | 0 |
public_repos/datetime/doc/numpybook/comparison | public_repos/datetime/doc/numpybook/comparison/pyrex/add.c | /* Generated by Pyrex 0.9.4.1 on Thu Aug 17 02:11:41 2006 */
#include "Python.h"
#include "structmember.h"
#ifndef PY_LONG_LONG
#define PY_LONG_LONG LONG_LONG
#endif
#ifdef __cplusplus
#define __PYX_EXTERN_C extern "C"
#else
#define __PYX_EXTERN_C extern
#endif
__PYX_EXTERN_C double pow(double, double);
#include "nu... | 0 |
public_repos/datetime/doc/numpybook/comparison | public_repos/datetime/doc/numpybook/comparison/pyrex/c_numpy.pxd | # :Author: Robert Kern
# :Copyright: 2004, Enthought, Inc.
# :License: BSD Style
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
... | 0 |
public_repos/datetime/doc/numpybook/comparison | public_repos/datetime/doc/numpybook/comparison/pyrex/filter.pyx | # -*- Mode: Python -*- Not really, but close enough
cimport c_numpy
from c_numpy cimport import_array, ndarray, npy_intp,\
NPY_DOUBLE, NPY_CDOUBLE, NPY_FLOAT, \
NPY_CFLOAT, NPY_ALIGNED
#We need to initialize NumPy
import_array()
def filter(object ao):
cdef ndarray a, b
cdef npy_intp i, j, M, N, S0... | 0 |
public_repos/datetime/doc/numpybook/comparison | public_repos/datetime/doc/numpybook/comparison/pyrex/filter.c | /* Generated by Pyrex 0.9.4.1 on Thu Aug 17 02:11:42 2006 */
#include "Python.h"
#include "structmember.h"
#ifndef PY_LONG_LONG
#define PY_LONG_LONG LONG_LONG
#endif
#ifdef __cplusplus
#define __PYX_EXTERN_C extern "C"
#else
#define __PYX_EXTERN_C extern
#endif
__PYX_EXTERN_C double pow(double, double);
#include "nu... | 0 |
public_repos/datetime/doc/numpybook/comparison | public_repos/datetime/doc/numpybook/comparison/pyrex/timeme | python2.4 -m timeit -s "import numpy as N; a=N.random.rand(100,200); import filter" "b = filter.filter(a)"
| 0 |
public_repos/datetime/doc/numpybook | public_repos/datetime/doc/numpybook/graphics/tip.xfig.fig | #FIG 3.2
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4 0 7 50 -1 2 92 0.0000 4 960 390 3450 2850 i\001
| 0 |
public_repos/datetime/doc/numpybook | public_repos/datetime/doc/numpybook/graphics/note.eps | %!PS-Adobe-2.0 EPSF-2.0
%%Title: note.fig
%%Creator: fig2dev Version 3.2 Patchlevel 4
%%CreationDate: Wed Aug 24 03:03:42 2005
%%For: oliphant@den.local.net (Travis Oliphant)
%%BoundingBox: 0 0 88 88
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/$F2psDict 200 dict def
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/col-1 {0 setgr... | 0 |
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%%Title: warning.fig
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/$F2psDict 200 dict def
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$F2psDict /mtrx matrix put
/col-1 {0 se... | 0 |
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| 0 |
public_repos/datetime/doc/numpybook | public_repos/datetime/doc/numpybook/graphics/tip.eps | %!PS-Adobe-2.0 EPSF-2.0
%%Title: tip.fig
%%Creator: fig2dev Version 3.2 Patchlevel 4
%%CreationDate: Tue Aug 23 23:51:46 2005
%%For: oliphant@den.local.net (Travis Oliphant)
%%BoundingBox: 0 0 88 88
%%Magnification: 1.0000
%%EndComments
/$F2psDict 200 dict def
$F2psDict begin
$F2psDict /mtrx matrix put
/col-1 {0 setgra... | 0 |
public_repos/datetime/doc/numpybook | public_repos/datetime/doc/numpybook/graphics/warning.fig | #FIG 3.2
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2 2 0 1 7 7 50 -1 20 0.000 0 0 -1 0 0 5
3096 2268 4104 2268 4104 2532 3096 2532 3096 2268
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public_repos/datetime/doc/numpybook | public_repos/datetime/doc/numpybook/graphics/note.fig | #FIG 3.2
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100.00
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0 33 #ffd2d2
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2 3 0 5 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
3600 1860 3060 2400 3600 2940 4140 2400 3600 1860
| 0 |
public_repos/datetime/doc | public_repos/datetime/doc/cdoc/numpyfilter.py | #!/usr/bin/env python
"""
numpyfilter.py INPUTFILE
Interpret C comments as ReStructuredText, and replace them by the HTML output.
Also, add Doxygen /** and /**< syntax automatically where appropriate.
"""
import sys
import re
import os
import textwrap
import optparse
import cPickle as pickle
CACHE_FILE = 'build/rst-... | 0 |
public_repos/datetime/doc | public_repos/datetime/doc/cdoc/README | cdoc
====
This is a simple Doxygen project for building Numpy C code documentation,
with docstrings extracted from the C sources themselves.
The understood syntax for documentation in the C source is
/*
* Some text in reStructuredText format
*/
int function_to_which_the_text_applies()
{
... | 0 |
public_repos/datetime/doc | public_repos/datetime/doc/cdoc/Makefile | all: build
build:
doxygen
.PHONY: all build
| 0 |
public_repos/datetime/doc | public_repos/datetime/doc/cdoc/Doxyfile | # Doxyfile 1.6.3
# This file describes the settings to be used by the documentation system
# doxygen (www.doxygen.org) for a project
#
# All text after a hash (#) is considered a comment and will be ignored
# The format is:
# TAG = value [value, ...]
# For lists items can also be appended using:
# TAG += v... | 0 |
public_repos/datetime/doc | public_repos/datetime/doc/numpy.scipy.org/content.rst | Numerical Python
=================
.. toctree::
:maxdepth: 2
old_array_packages.rst
license.rst
| 0 |
public_repos/datetime/doc | public_repos/datetime/doc/numpy.scipy.org/Makefile | # Makefile for Sphinx documentation
#
# You can set these variables from the command line.
SPHINXOPTS =
SPHINXBUILD = sphinx-build
PAPER =
# Internal variables.
PAPEROPT_a4 = -D latex_paper_size=a4
PAPEROPT_letter = -D latex_paper_size=letter
ALLSPHINXOPTS = -d _build/doctrees $(PAPEROPT_$(PAPER)) ... | 0 |
public_repos/datetime/doc | public_repos/datetime/doc/numpy.scipy.org/old_array_packages.rst | ====================
Older Array Packages
====================
It may take months for the large code base that uses Numeric and/or Numarray
to transition to the new NumPy system. Links to the older packages are
provided here. New users should start out with NumPy.
Much of the documentation for Numeric and Numarra... | 0 |
public_repos/datetime/doc | public_repos/datetime/doc/numpy.scipy.org/conf.py | # -*- coding: utf-8 -*-
#
# Scipy.org documentation build configuration file
#
# This file is execfile()d with the current directory set to its containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configuration values have a default; values that are comme... | 0 |
public_repos/datetime/doc | public_repos/datetime/doc/numpy.scipy.org/license.rst | Numpy license
=============
| Copyright © 2005-2010, 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/numpy.scipy.org/_theme | public_repos/datetime/doc/numpy.scipy.org/_theme/scipy/layout.html | {% extends "sphinxdoc/layout.html" %}
{% block rootrellink %}
{% endblock %}
{% block relbar1 %}
<div class="top-logo-header">
<a href="{{ pathto('index') }}"><img src="{{ pathto("_static/numpy_logo.png", 1) }}" border="0" alt="NumPy Homepage"/></a>
</div>
{% endblock %}
{% block relbar2 %} {% endblock %}
{# put th... | 0 |
public_repos/datetime/doc/numpy.scipy.org/_theme | public_repos/datetime/doc/numpy.scipy.org/_theme/scipy/index.html | {% extends "!layout.html" %}
{% set title = 'Scientific Computing Tools For Python' %}
{% block body %}
<table>
<tr>
<td style="border-style: none;">
<a href="http://new.scipy.org/download.html">
<img alt="Download" src="_static/images/download.png" title="Download" height="80" style="display: b... | 0 |
public_repos/datetime/doc/numpy.scipy.org/_theme | public_repos/datetime/doc/numpy.scipy.org/_theme/scipy/theme.conf | [theme]
inherit = sphinxdoc
stylesheet = scipy.css
pygments_css = friendly
| 0 |
public_repos/datetime/doc/numpy.scipy.org/_theme/scipy | public_repos/datetime/doc/numpy.scipy.org/_theme/scipy/static/scipy.css | @import "sphinxdoc.css";
/**
* Spacing fixes
*/
div.body {
width: 90%;
}
div.bodywrapper {
width: 100%;
}
div.documentwrapper {
border-left: 1px solid #ccc;
border-right: 1px solid #ccc;
border-bottom: 1px solid #ccc;
}
div.body p, div.body dd, div.body li {
line-height: 125%;
}
ul.simple {
mar... | 0 |
public_repos/datetime/doc | public_repos/datetime/doc/cython/README.txt | ==================
NumPy and Cython
==================
This directory contains a small example of how to use NumPy and Cython
together. While much work is planned for the Summer of 2008 as part of the
Google Summer of Code project to improve integration between the two, even
today Cython can be used effectively to w... | 0 |
public_repos/datetime/doc | public_repos/datetime/doc/cython/setup.py | #!/usr/bin/env python
"""Install file for example on how to use Cython with Numpy.
Note: Cython is the successor project to Pyrex. For more information, see
http://cython.org.
"""
from distutils.core import setup
from distutils.extension import Extension
import numpy
# We detect whether Cython is available, so tha... | 0 |
public_repos/datetime/doc | public_repos/datetime/doc/cython/Makefile | # Simple makefile to quickly access handy build commands for Cython extension
# code generation. Note that the actual code to produce the extension lives in
# the setup.py file, this Makefile is just meant as a command
# convenience/reminder while doing development.
help:
@echo "Numpy/Cython tasks. Available tasks:... | 0 |
public_repos/datetime/doc | public_repos/datetime/doc/cython/c_numpy.pxd | # :Author: Travis Oliphant
# API declaration section. This basically exposes the NumPy C API to
# Pyrex/Cython programs.
cdef extern from "numpy/arrayobject.h":
cdef enum NPY_TYPES:
NPY_BOOL
NPY_BYTE
NPY_UBYTE
NPY_SHORT
NPY_USHORT
NPY_INT
NPY_UINT
... | 0 |
public_repos/datetime/doc | public_repos/datetime/doc/cython/c_python.pxd | # :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
# Some type declarations we need
... | 0 |
public_repos/datetime/doc | public_repos/datetime/doc/cython/run_test.py | #!/usr/bin/env python
from numpyx import test
test()
| 0 |
public_repos/datetime/doc | public_repos/datetime/doc/cython/numpyx.pyx | # -*- Mode: Python -*- Not really, but close enough
"""Cython access to Numpy arrays - simple example.
"""
#############################################################################
# Load C APIs declared in .pxd files via cimport
#
# A 'cimport' is similar to a Python 'import' statement, but it provides access
#... | 0 |
public_repos/datetime/doc | public_repos/datetime/doc/cython/MANIFEST | numpyx.pyx
setup.py
| 0 |
public_repos | public_repos/nltk_book_rus/README.md | nltk_book_rus
=============
Russian translation of the NLTK book | 0 |
public_repos | public_repos/engineering-class/README.md | # Lightning Bits: Engineering for Researchers
This repository contains additional materials and show notes for the [Lightning Bits: Engineering for Researchers](https://www.pytorchlightning.ai/edu/engineering-class) video series.
## Ep 01: Notebooks vs Python Projects
- [🍿 Watch Episode 1](https://youtu.be/JGno... | 0 |
public_repos/engineering-class | public_repos/engineering-class/ep04-IDE/Ep04-ShowNotes.md | # Episode 4: Interactive/Integrated Developer Environments (IDEs)
[[Watch Episode 4](https://www.youtube.com/watch?v=ISGNh4B1Z74)]
It's 2022. There are lots of different tools available that make your life as a programmer, engineer, and researcher more convenient. This episode is focused on [PyCharm](https://www.... | 0 |
public_repos/engineering-class | public_repos/engineering-class/ep03-environments/Ep03-ShowNotes.md | # Episode 3: -- Environments
[[Watch Episode 3](https://www.youtube.com/watch?v=WHWsABk4Ejk)]
There are many ways we can set up a virtual environment: Virtualenv, Anaconda, miniconda, Mini-forge, and several others.
Here, we are going to focus on miniconda and conda-forge.
## A note about Miniconda vs Mini-fo... | 0 |
public_repos/engineering-class | public_repos/engineering-class/ep08-github-pr/Ep08-ShowNotes.md | # Episide 8: Creating a Pull Request on GitHub
[Watch Episode 8](https://youtu.be/_0X_dljzr5E)
## Recap
In the previous episodes, we covered the basic concepts and commands behind Git for version control. These episodes are not mandatory for creating projects on GitHub, but we recommend you check them out as well:... | 0 |
public_repos/engineering-class | public_repos/engineering-class/ep10-oop/Ep10-ShowNotes.md | # Episode 10: Python Classes and Object-Oriented Programming
[[Watch Episode 10](https://youtu.be/7wb2wUMrkkE)]
The process of using classes and objects is called object-oriented programming. Fun fact: Python is a (heavily) object-oriented programming language!
Technically, you could be programming in Python withou... | 0 |
public_repos/engineering-class | public_repos/engineering-class/ep01-nbs-vs-projects/Ep01-ShowNotes.md | # Episode 1 Show Notes -- Notebooks vs Python Projects
[[Watch Episode 1](https://www.youtube.com/watch?v=JGnoTN1OnWY)]
## 1. Using Jupyter Notebooks
Excited to get started with using Jupyter notebooks? The most common application for working with Jupyter notebooks is JupyterLab. Jupyter notebooks are great scr... | 0 |
public_repos/engineering-class/ep01-nbs-vs-projects | public_repos/engineering-class/ep01-nbs-vs-projects/project/README.md | This is an example project. | 0 |
public_repos/engineering-class/ep01-nbs-vs-projects/project | public_repos/engineering-class/ep01-nbs-vs-projects/project/src/setup.py | import setuptools
setuptools.setup(
name='mypackage',
version='0.1',
author='sebastian',
packages=setuptools.find_packages(),
) | 0 |
public_repos/engineering-class/ep01-nbs-vs-projects/project/src | public_repos/engineering-class/ep01-nbs-vs-projects/project/src/mypackage/mycode.py | def hello_world_func():
return 'hello world' | 0 |
public_repos/engineering-class | public_repos/engineering-class/ep05-debugging/Ep05-ShowNotes.md | # Episode 5: Debugging Python Code
[[Watch Episode 5](https://www.youtube.com/watch?v=mD-1OZvuVDU)]
Learning and using a professional debugging tool is one of the key things you can do to boost your productivity. Sure, you can often get by with the goold old "`print()`" statement approach. However, instead of i... | 0 |
public_repos/engineering-class | public_repos/engineering-class/ep06-git-basics/Ep06-ShowNotes.md | # Episode 6: Getting Started With Version Control Using Git
[Watch Episode 6](https://youtu.be/HF6KAFDk9dY)
## What is Git?
Version control (also known as source control) allows us to track code changes and work and collaborate on code projects effectively. In this episode, we learn the basics of Git, the version ... | 0 |
public_repos/engineering-class | public_repos/engineering-class/ep02-terminal/Ep02-ShowNotes.md | # Episode 2: The Terminal
[[Watch Episode 2](https://www.youtube.com/watch?v=KhQKqaxU7BQ)]
## Opening the Terminal
If you are on a Mac, you can find the terminal in the Applications/Utilities folder:
<img src="Ep02-ShowNotes_figures/terminal-app.png" width=800>
On a Mac, our favorite shortcut to open the Termi... | 0 |
public_repos/engineering-class | public_repos/engineering-class/ep09-github-collab/Ep09-ShowNotes.md | # Episode 9: Collaborating with Pull Requests using GitHub
[[Watch Episode 9](https://youtu.be/7wb2wUMrkkE)]
## Recap
In the previous episode ([Ep 08](../ep08-github-pr/Ep08-ShowNotes)), we learned how to create a pull request and ended on a cliffhanger.
## Using The GitHub Interface
Once a Pull Request has ... | 0 |
public_repos/engineering-class | public_repos/engineering-class/ep07-git-branching/Ep07-ShowNotes.md | # Episode 7: Managing Code Projects with Git Branching
[Watch Episode 7](https://youtu.be/tzJDZY1x31I)
## Recap
In the previous episode, we covered the basic concepts and commands behind Git for version control. If you haven't watched the [previous episode](../ep06-git-basics/Ep06-ShowNotes.md), we recommend check... | 0 |
public_repos | public_repos/pandas-user-surveys/environment.yml | name: pandas-user-surveys
dependencies:
- pandas
- seaborn
- matplotlib
| 0 |
public_repos | public_repos/pandas-user-surveys/Makefile | 2019.md: 2019.ipynb template.tpl
jupyter nbconvert --to=markdown $< --template=template.tpl
rsync -r 2019_files/ ../pandas-blog/content/images/2019_files/
sed -i 's/2019_files/{static}\/images\/2019_files/g' 2019.md
cp 2019.md ../pandas-blog/content/2019-user-survey.md
| 0 |
public_repos | public_repos/pandas-user-surveys/template.tpl | {% extends 'markdown.tpl'%}
{% block header -%}
Title: 2019 Pandas User Survey
Date: 2019-08-22
<style type="text/css">
table td {
background: none;
}
table tr.even td {
background: none;
}
table {
text-shadow: none;
}
</style>
{% endblock header %}
{% block input_group %}
{% endblock input_group %}
| 0 |
public_repos | public_repos/pandas-user-surveys/2019.ipynb | import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline
plt.rcParams['figure.dpi'] = 150
df = pd.read_csv("data/2019.csv.gz", parse_dates=['Timestamp'])order = [
'Less than 3 months',
'3 months - 1 year',
'1 - 2 years',
'3 - 5 years',
'5+ years',
]
sns.countp... | 0 |
public_repos | public_repos/pandas-user-surveys/README.md | # Pandas User Surveys
This repository contains the results from pandas' user surveys.
[](https://mybinder.org/v2/gh/pandas-dev/pandas-user-surveys/master)
| 0 |
public_repos | public_repos/nltk_teach/README.md | nltk_teach
==========
Miscellaneous materials for teaching NLP using NLTK
| 0 |
public_repos | public_repos/nltk_teach/LICENSE | Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
and distribution as defined b... | 0 |
public_repos/nltk_teach/examples | public_repos/nltk_teach/examples/grammars/Makefile | # NLTK: Documentation Makefile
#
# Copyright (C) 2001-2014 NLTK Project
# Author: Ewan Klein <ewan@inf.ed.ac.uk>
# URL: <http://nltk.org/>
# For license information, see LICENSE.TXT
DATADIR = ../../../nltk_data
PUBLISH = $(DATADIR)/packages/grammars
PACKAGE_DIRS = book_grammars sample_grammars #basque_grammars spani... | 0 |
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