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repo_id stringlengths 12 110 | file_path stringlengths 24 164 | content stringlengths 3 89.3M | __index_level_0__ int64 0 0 |
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public_repos/numpy-refactor/doc | public_repos/numpy-refactor/doc/pyrex/setup.py | #!/usr/bin/env python
"""
WARNING: this code is deprecated and slated for removal soon. See the
doc/cython directory for the replacement, which uses Cython (the actively
maintained version of Pyrex).
Install file for example on how to use Pyrex with Numpy.
For more details, see:
http://www.scipy.org/Cookbook/Pyrex_... | 0 |
public_repos/numpy-refactor/doc | public_repos/numpy-refactor/doc/pyrex/Makefile | all:
python setup.py build_ext --inplace
test: all
python run_test.py
.PHONY: clean
clean:
rm -rf *~ *.so *.c *.o build
| 0 |
public_repos/numpy-refactor/doc | public_repos/numpy-refactor/doc/pyrex/c_numpy.pxd | # :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/numpy-refactor/doc | public_repos/numpy-refactor/doc/pyrex/c_python.pxd | # -*- Mode: Python -*- Not really, but close enough
# Expose as much of the Python C API as we need here
cdef extern from "stdlib.h":
ctypedef int size_t
cdef extern from "Python.h":
ctypedef int Py_intptr_t
void* PyMem_Malloc(size_t)
void* PyMem_Realloc(void *p, size_t n)
void PyMem_Free(vo... | 0 |
public_repos/numpy-refactor/doc | public_repos/numpy-refactor/doc/pyrex/notes | - cimport with a .pxd file vs 'include foo.pxi'?
- the need to repeat: pyrex does NOT parse C headers. | 0 |
public_repos/numpy-refactor/doc | public_repos/numpy-refactor/doc/pyrex/run_test.py | #!/usr/bin/env python
from numpyx import test
test()
| 0 |
public_repos/numpy-refactor/doc | public_repos/numpy-refactor/doc/pyrex/numpyx.pyx | # -*- Mode: Python -*- Not really, but close enough
"""WARNING: this code is deprecated and slated for removal soon. See the
doc/cython directory for the replacement, which uses Cython (the actively
maintained version of Pyrex).
"""
cimport c_python
cimport c_numpy
import numpy
# Numpy must be initialized
c_numpy.i... | 0 |
public_repos/numpy-refactor/doc | public_repos/numpy-refactor/doc/pyrex/MANIFEST | numpyx.pyx
setup.py
| 0 |
public_repos/numpy-refactor/doc | public_repos/numpy-refactor/doc/swig/README | Notes for the numpy/doc/swig directory
======================================
This set of files is for developing and testing file numpy.i, which is
intended to be a set of typemaps for helping SWIG interface between C
and C++ code that uses C arrays and the python module NumPy. It is
ultimately hoped that numpy.i wi... | 0 |
public_repos/numpy-refactor/doc | public_repos/numpy-refactor/doc/swig/Makefile | # List all of the subdirectories here for recursive make
SUBDIRS = test doc
# Default target
.PHONY : default
default:
@echo "There is no default make target for this Makefile"
@echo "Valid make targets are:"
@echo " test - Compile and run tests of numpy.i"
@echo " doc - Generate numpy.i... | 0 |
public_repos/numpy-refactor/doc | public_repos/numpy-refactor/doc/swig/numpy.i | /* -*- C -*- (not really, but good for syntax highlighting) */
#ifdef SWIGPYTHON
%{
#ifndef SWIG_FILE_WITH_INIT
# define NO_IMPORT_ARRAY
#endif
#include "stdio.h"
#include <numpy/arrayobject.h>
%}
/**********************************************************************/
%fragment("NumPy_Backward_Compatibility", "he... | 0 |
public_repos/numpy-refactor/doc | public_repos/numpy-refactor/doc/swig/pyfragments.swg | /*-*- C -*-*/
/**********************************************************************/
/* For numpy versions prior to 1.0, the names of certain data types
* are different than in later versions. This fragment provides macro
* substitutions that allow us to support old and new versions of
* numpy.
*/
%fragment("... | 0 |
public_repos/numpy-refactor/doc/swig | public_repos/numpy-refactor/doc/swig/test/Matrix.cxx | #include <stdlib.h>
#include <math.h>
#include <iostream>
#include "Matrix.h"
// The following macro defines 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, i... | 0 |
public_repos/numpy-refactor/doc/swig | public_repos/numpy-refactor/doc/swig/test/Fortran.i | // -*- c++ -*-
%module Fortran
%{
#define SWIG_FILE_WITH_INIT
#include "Fortran.h"
%}
// Get the NumPy typemaps
%include "../numpy.i"
%init %{
import_array();
%}
%define %apply_numpy_typemaps(TYPE)
%apply (TYPE* IN_FARRAY2, int DIM1, int DIM2) {(TYPE* matrix, int rows, int cols)};
%enddef /* %apply_numpy_typ... | 0 |
public_repos/numpy-refactor/doc/swig | public_repos/numpy-refactor/doc/swig/test/Array1.cxx | #include "Array1.h"
#include <iostream>
#include <sstream>
// Default/length/array constructor
Array1::Array1(int length, long* data) :
_ownData(false), _length(0), _buffer(0)
{
resize(length, data);
}
// Copy constructor
Array1::Array1(const Array1 & source) :
_length(source._length)
{
allocateMemory();
*t... | 0 |
public_repos/numpy-refactor/doc/swig | public_repos/numpy-refactor/doc/swig/test/Tensor.cxx | #include <stdlib.h>
#include <math.h>
#include <iostream>
#include "Tensor.h"
// The following macro defines a family of functions that work with 3D
// arrays with the forms
//
// TYPE SNAMENorm( TYPE tensor[2][2][2]);
// TYPE SNAMEMax( TYPE * tensor, int rows, int cols, int num);
// TYPE SNAMEMin( ... | 0 |
public_repos/numpy-refactor/doc/swig | public_repos/numpy-refactor/doc/swig/test/Vector.i | // -*- c++ -*-
%module Vector
%{
#define SWIG_FILE_WITH_INIT
#include "Vector.h"
%}
// Get the NumPy typemaps
%include "../numpy.i"
%init %{
import_array();
%}
%define %apply_numpy_typemaps(TYPE)
%apply (TYPE IN_ARRAY1[ANY]) {(TYPE vector[3])};
%apply (TYPE* IN_ARRAY1, int DIM1) {(TYPE* series, int size)};
%appl... | 0 |
public_repos/numpy-refactor/doc/swig | public_repos/numpy-refactor/doc/swig/test/Farray.h | #ifndef FARRAY_H
#define FARRAY_H
#include <stdexcept>
#include <string>
class Farray
{
public:
// Size constructor
Farray(int nrows, int ncols);
// Copy constructor
Farray(const Farray & source);
// Destructor
~Farray();
// Assignment operator
Farray & operator=(const Farray & source);
// Equa... | 0 |
public_repos/numpy-refactor/doc/swig | public_repos/numpy-refactor/doc/swig/test/Farray.cxx | #include "Farray.h"
#include <sstream>
// Size constructor
Farray::Farray(int nrows, int ncols) :
_nrows(nrows), _ncols(ncols), _buffer(0)
{
allocateMemory();
}
// Copy constructor
Farray::Farray(const Farray & source) :
_nrows(source._nrows), _ncols(source._ncols)
{
allocateMemory();
*this = source;
}
// ... | 0 |
public_repos/numpy-refactor/doc/swig | public_repos/numpy-refactor/doc/swig/test/testArray.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 Array
#####... | 0 |
public_repos/numpy-refactor/doc/swig | public_repos/numpy-refactor/doc/swig/test/Tensor.h | #ifndef TENSOR_H
#define TENSOR_H
// The following macro defines the prototypes for a family of
// functions that work with 3D arrays with the forms
//
// TYPE SNAMENorm( TYPE tensor[2][2][2]);
// TYPE SNAMEMax( TYPE * tensor, int rows, int cols, int num);
// TYPE SNAMEMin( int rows, int cols, int ... | 0 |
public_repos/numpy-refactor/doc/swig | public_repos/numpy-refactor/doc/swig/test/setup.py | #! /usr/bin/env python
# System imports
from distutils.core import *
from distutils import sysconfig
# Third-party modules - we depend on numpy for everything
import numpy
# Obtain the numpy include directory. This logic works across numpy versions.
try:
numpy_include = numpy.get_include()
except Attribute... | 0 |
public_repos/numpy-refactor/doc/swig | public_repos/numpy-refactor/doc/swig/test/Array2.cxx | #include "Array2.h"
#include <sstream>
// Default constructor
Array2::Array2() :
_ownData(false), _nrows(0), _ncols(), _buffer(0), _rows(0)
{ }
// Size/array constructor
Array2::Array2(int nrows, int ncols, long* data) :
_ownData(false), _nrows(0), _ncols(), _buffer(0), _rows(0)
{
resize(nrows, ncols, data);
}
... | 0 |
public_repos/numpy-refactor/doc/swig | public_repos/numpy-refactor/doc/swig/test/Farray.i | // -*- c++ -*-
%module Farray
%{
#define SWIG_FILE_WITH_INIT
#include "Farray.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_argument& e)
{
... | 0 |
public_repos/numpy-refactor/doc/swig | public_repos/numpy-refactor/doc/swig/test/Vector.cxx | #include <stdlib.h>
#include <math.h>
#include <iostream>
#include "Vector.h"
// The following macro defines 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)... | 0 |
public_repos/numpy-refactor/doc/swig | public_repos/numpy-refactor/doc/swig/test/Makefile | # SWIG
INTERFACES = Array.i Farray.i Vector.i Matrix.i Tensor.i Fortran.i
WRAPPERS = $(INTERFACES:.i=_wrap.cxx)
PROXIES = $(INTERFACES:.i=.py )
# Default target: build the tests
.PHONY : all
all: $(WRAPPERS) Array1.cxx Array1.h Farray.cxx Farray.h Vector.cxx Vector.h \
Matrix.cxx Matrix.h Tensor.cxx Tensor.... | 0 |
public_repos/numpy-refactor/doc/swig | public_repos/numpy-refactor/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/numpy-refactor/doc/swig | public_repos/numpy-refactor/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/numpy-refactor/doc/swig | public_repos/numpy-refactor/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/numpy-refactor/doc/swig | public_repos/numpy-refactor/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/numpy-refactor/doc/swig | public_repos/numpy-refactor/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/numpy-refactor/doc/swig | public_repos/numpy-refactor/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/numpy-refactor/doc/swig | public_repos/numpy-refactor/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/numpy-refactor/doc/swig | public_repos/numpy-refactor/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/numpy-refactor/doc/swig | public_repos/numpy-refactor/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/numpy-refactor/doc/swig | public_repos/numpy-refactor/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/numpy-refactor/doc/swig | public_repos/numpy-refactor/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/numpy-refactor/doc/swig | public_repos/numpy-refactor/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/numpy-refactor/doc/swig | public_repos/numpy-refactor/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/numpy-refactor/doc/swig | public_repos/numpy-refactor/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/numpy-refactor/doc | public_repos/numpy-refactor/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/numpy-refactor/doc | public_repos/numpy-refactor/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/numpy-refactor/doc | public_repos/numpy-refactor/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/numpy-refactor/doc/numpybook | public_repos/numpy-refactor/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
$F2psDict /mtrx matrix put
/... | 0 |
public_repos/numpy-refactor/doc/numpybook | public_repos/numpy-refactor/doc/numpybook/Figures/threefundamental.fig | #FIG 3.2
Landscape
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100.00
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6 1950 2850 4350 3450
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
1950 2850 4350 2850 4350 3450 1950 3450 1950 2850
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
2550 2850 2550 3450
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
3150 2850 3150 3450
2 1 0 1 0 7 50 -... | 0 |
public_repos/numpy-refactor/doc/numpybook | public_repos/numpy-refactor/doc/numpybook/Figures/contiguous.fig | #FIG 3.2
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2 2 0 3 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
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2 2 0 3 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
7500 1575 8700 1575 8700 2175 7500 2175 7500 1575
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
3300 ... | 0 |
public_repos/numpy-refactor/doc/numpybook | public_repos/numpy-refactor/doc/numpybook/Figures/hierarchy.eps | %!PS-Adobe-2.0 EPSF-2.0
%%Title: hierarchy.dia
%%Creator: Dia v0.94
%%CreationDate: Wed Jan 4 16:44:07 2006
%%For: oliphant
%%Orientation: Portrait
%%Magnification: 1.0000
%%BoundingBox: 0 0 743 584
%%BeginSetup
%%EndSetup
%%EndComments
%%BeginProlog
[ /.notdef /.notdef /.notdef /.notdef /.notdef /.notdef /.notdef /.n... | 0 |
public_repos/numpy-refactor/doc/numpybook | public_repos/numpy-refactor/doc/numpybook/Figures/contiguous.eps | %!PS-Adobe-2.0 EPSF-2.0
%%Title: contiguous.fig
%%Creator: fig2dev Version 3.2 Patchlevel 4
%%CreationDate: Thu Aug 18 12:08:29 2005
%%For: oliphant@oliphant (Travis Oliphant)
%%BoundingBox: 0 0 434 215
%%Magnification: 1.0000
%%EndComments
/$F2psDict 200 dict def
$F2psDict begin
$F2psDict /mtrx matrix put
/col-1 {0 se... | 0 |
public_repos/numpy-refactor/doc/numpybook | public_repos/numpy-refactor/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/numpy-refactor/doc/numpybook/comparison | public_repos/numpy-refactor/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/numpy-refactor/doc/numpybook/comparison | public_repos/numpy-refactor/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/numpy-refactor/doc/numpybook/comparison | public_repos/numpy-refactor/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/numpy-refactor/doc/numpybook/comparison | public_repos/numpy-refactor/doc/numpybook/comparison/ctypes/newfile.dat | $@ >@ ... | 0 |
public_repos/numpy-refactor/doc/numpybook/comparison | public_repos/numpy-refactor/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/numpy-refactor/doc/numpybook/comparison | public_repos/numpy-refactor/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/numpy-refactor/doc/numpybook/comparison | public_repos/numpy-refactor/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/numpy-refactor/doc/numpybook/comparison | public_repos/numpy-refactor/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/numpy-refactor/doc/numpybook/comparison | public_repos/numpy-refactor/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/numpy-refactor/doc/numpybook/comparison | public_repos/numpy-refactor/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/numpy-refactor/doc/numpybook/comparison | public_repos/numpy-refactor/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/numpy-refactor/doc/numpybook/comparison | public_repos/numpy-refactor/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/numpy-refactor/doc/numpybook/comparison | public_repos/numpy-refactor/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/numpy-refactor/doc/numpybook/comparison | public_repos/numpy-refactor/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/numpy-refactor/doc/numpybook/comparison | public_repos/numpy-refactor/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/numpy-refactor/doc/numpybook/comparison | public_repos/numpy-refactor/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/numpy-refactor/doc/numpybook/comparison | public_repos/numpy-refactor/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/numpy-refactor/doc/numpybook/comparison | public_repos/numpy-refactor/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/numpy-refactor/doc/numpybook/comparison | public_repos/numpy-refactor/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/numpy-refactor/doc/numpybook/comparison | public_repos/numpy-refactor/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/numpy-refactor/doc/numpybook/comparison | public_repos/numpy-refactor/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/numpy-refactor/doc/numpybook | public_repos/numpy-refactor/doc/numpybook/graphics/tip.xfig.fig | #FIG 3.2
Landscape
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100.00
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1200 2
1 3 0 1 1 1 50 -1 20 0.000 1 0.0000 3600 2400 660 660 3600 2400 4260 2400
1 3 0 1 7 7 51 -1 20 0.000 1 0.0000 3600 2400 720 720 3600 2400 4320 2400
4 0 7 50 -1 2 92 0.0000 4 960 390 3450 2850 i\001
| 0 |
public_repos/numpy-refactor/doc/numpybook | public_repos/numpy-refactor/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
%%Magnification: 1.0000
%%EndComments
/$F2psDict 200 dict def
$F2psDict begin
$F2psDict /mtrx matrix put
/col-1 {0 setgr... | 0 |
public_repos/numpy-refactor/doc/numpybook | public_repos/numpy-refactor/doc/numpybook/graphics/warning.eps | %!PS-Adobe-2.0 EPSF-2.0
%%Title: warning.fig
%%Creator: fig2dev Version 3.2 Patchlevel 4
%%CreationDate: Wed Aug 24 00:00:52 2005
%%For: oliphant@den.local.net (Travis Oliphant)
%%BoundingBox: 0 0 88 88
%%Magnification: 1.0000
%%EndComments
/$F2psDict 200 dict def
$F2psDict begin
$F2psDict /mtrx matrix put
/col-1 {0 se... | 0 |
public_repos/numpy-refactor/doc/numpybook | public_repos/numpy-refactor/doc/numpybook/graphics/tip.fig | #FIG 3.2
Landscape
Center
Inches
Letter
100.00
Single
-2
1200 2
0 32 #e0f4ff
0 33 #000000
1 3 0 1 1 1 50 -1 20 0.000 1 0.0000 3600 2400 660 660 3600 2400 4260 2400
1 3 0 1 7 7 51 -1 20 0.000 1 0.0000 3600 2400 720 720 3600 2400 4320 2400
4 0 7 50 -1 2 110 0.0000 4 1140 465 3384 2940 i\001
| 0 |
public_repos/numpy-refactor/doc/numpybook | public_repos/numpy-refactor/doc/numpybook/graphics/tip.eps | %!PS-Adobe-2.0 EPSF-2.0
%%Title: tip.fig
%%Creator: fig2dev Version 3.2 Patchlevel 4
%%CreationDate: Tue Aug 23 23:51:46 2005
%%For: oliphant@den.local.net (Travis Oliphant)
%%BoundingBox: 0 0 88 88
%%Magnification: 1.0000
%%EndComments
/$F2psDict 200 dict def
$F2psDict begin
$F2psDict /mtrx matrix put
/col-1 {0 setgra... | 0 |
public_repos/numpy-refactor/doc/numpybook | public_repos/numpy-refactor/doc/numpybook/graphics/warning.fig | #FIG 3.2
Landscape
Center
Inches
Letter
100.00
Single
-2
1200 2
0 32 #e0f4ff
0 33 #ffd2d2
0 34 #fcf6dc
1 3 0 1 20 20 50 -1 20 0.000 1 0.0000 3600 2400 720 720 3600 2400 4320 2400
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
| 0 |
public_repos/numpy-refactor/doc/numpybook | public_repos/numpy-refactor/doc/numpybook/graphics/note.fig | #FIG 3.2
Landscape
Center
Inches
Letter
100.00
Single
-2
1200 2
0 32 #e0f4ff
0 33 #ffd2d2
0 34 #fcf6dc
2 3 0 1 31 31 52 -1 20 0.000 0 0 -1 0 0 5
3600 1680 2880 2400 3600 3120 4320 2400 3600 1680
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/numpy-refactor/doc | public_repos/numpy-refactor/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/numpy-refactor/doc | public_repos/numpy-refactor/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/numpy-refactor/doc | public_repos/numpy-refactor/doc/cdoc/Makefile | all: build
build:
doxygen
.PHONY: all build
| 0 |
public_repos/numpy-refactor/doc | public_repos/numpy-refactor/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/numpy-refactor/doc | public_repos/numpy-refactor/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/numpy-refactor/doc | public_repos/numpy-refactor/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/numpy-refactor/doc | public_repos/numpy-refactor/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/numpy-refactor/doc | public_repos/numpy-refactor/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/numpy-refactor/doc | public_repos/numpy-refactor/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/numpy-refactor/doc | public_repos/numpy-refactor/doc/cython/run_test.py | #!/usr/bin/env python
from numpyx import test
test()
| 0 |
public_repos/numpy-refactor/doc | public_repos/numpy-refactor/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/numpy-refactor/doc | public_repos/numpy-refactor/doc/cython/MANIFEST | numpyx.pyx
setup.py
| 0 |
public_repos | public_repos/infra-test/poetry.lock | # This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
[[package]]
name = "aiohttp"
version = "3.8.6"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.6"
files = [
{file = "aiohttp-3.8.6-cp310-cp310-macosx_10_9_universal2.whl",... | 0 |
public_repos | public_repos/infra-test/Dockerfile | FROM python:3.11-slim
RUN pip install poetry==1.6.1
RUN poetry config virtualenvs.create false
WORKDIR /code
COPY ./pyproject.toml ./poetry.lock* ./
COPY ./packages ./packages
RUN poetry install --no-interaction --no-ansi --no-root
COPY ./app ./app
RUN poetry install --no-interaction --no-ansi
EXPOSE 8080
CMD... | 0 |
public_repos | public_repos/infra-test/pyproject.toml | [tool.poetry]
name = "__app_name__"
version = "0.1.0"
description = ""
authors = ["Your Name <you@example.com>"]
readme = "README.md"
[tool.poetry.dependencies]
python = "^3.11"
uvicorn = "^0.23.2"
langserve = {extras = ["server"], version = ">=0.0.22"}
pirate-speak = {path = "packages/pirate-speak", develop = true}
... | 0 |
public_repos | public_repos/infra-test/README.md | # mukil-test
## Installation
Install the LangChain CLI if you haven't yet
```bash
pip install -U langchain-cli
```
## Adding packages
```bash
# adding packages from
# https://github.com/langchain-ai/langchain/tree/master/templates
langchain app add $PROJECT_NAME
# adding custom GitHub repo packages
langchain app... | 0 |
public_repos/infra-test | public_repos/infra-test/app/server.py | from fastapi import FastAPI
from langserve import add_routes
app = FastAPI()
# Edit this to add the chain you want to add
from pirate_speak.chain import chain as pirate_speak_chain
add_routes(app, pirate_speak_chain, path="/pirate-speak")
if __name__ == "__main__":
import uvicorn
uvicorn.run(app, host="0.... | 0 |
public_repos/infra-test/packages | public_repos/infra-test/packages/pirate-speak/poetry.lock | # This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
[[package]]
name = "aiohttp"
version = "3.8.6"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.6"
files = [
{file = "aiohttp-3.8.6-cp310-cp310-macosx_10_9_universal2.whl",... | 0 |
public_repos/infra-test/packages | public_repos/infra-test/packages/pirate-speak/pyproject.toml | [tool.poetry]
name = "pirate-speak"
version = "0.0.1"
description = ""
authors = []
readme = "README.md"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
langchain = ">=0.0.325"
openai = "^0.28.1"
[tool.poetry.group.dev.dependencies]
langchain-cli = ">=0.0.15"
fastapi = "^0.104.0"
sse-starlette = "^1.6.5"
[tool.la... | 0 |
public_repos/infra-test/packages | public_repos/infra-test/packages/pirate-speak/README.md |
# pirate-speak
This template converts user input into pirate speak.
## Environment Setup
Set the `OPENAI_API_KEY` environment variable to access the OpenAI models.
## Usage
To use this package, you should first have the LangChain CLI installed:
```shell
pip install -U langchain-cli
```
To create a new LangChain... | 0 |
public_repos/infra-test/packages | public_repos/infra-test/packages/pirate-speak/LICENSE | MIT License
Copyright (c) 2023 LangChain, Inc.
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, modify, merge, publish, d... | 0 |
public_repos/infra-test/packages/pirate-speak | public_repos/infra-test/packages/pirate-speak/pirate_speak/chain.py | from langchain.chat_models import ChatOpenAI
from langchain.prompts import ChatPromptTemplate
_prompt = ChatPromptTemplate.from_messages(
[
(
"system",
"Translate user input into pirate speak",
),
("human", "{text}"),
]
)
_model = ChatOpenAI()
# if you update th... | 0 |
public_repos | public_repos/langserve-replit-template/poetry.lock | # This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
[[package]]
name = "aiohttp"
version = "3.8.6"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.6"
files = [
{file = "aiohttp-3.8.6-cp310-cp310-macosx_10_9_universal2.whl",... | 0 |
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