1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
|
Source: numexpr
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Wen Heping <wenheping@gmail.com>,
Antonio Valentino <antonio.valentino@tiscali.it>,
Yaroslav Halchenko <debian@onerussian.com>
Section: python
Testsuite: autopkgtest
Priority: optional
Build-Depends: debhelper (>= 9.0.0~),
dh-python,
python-all-dev,
python-all-dbg,
python3-all-dev,
python3-all-dbg,
python-setuptools,
python3-setuptools,
python-numpy,
python-numpy-dbg,
python3-numpy,
python3-numpy-dbg
Standards-Version: 3.9.8
Vcs-Browser: https://anonscm.debian.org/cgit/debian-science/packages/numexpr.git
Vcs-Git: https://anonscm.debian.org/git/debian-science/packages/numexpr.git
Homepage: https://github.com/pydata/numexpr
X-Python-Version: >= 2.6
X-Python3-Version: >= 3.2
Package: python-numexpr
Architecture: any
Depends: ${python:Depends},
${shlibs:Depends},
${misc:Depends},
python-pkg-resources
Description: Fast numerical array expression evaluator for Python and NumPy
Numexpr package evaluates multiple-operator array expressions many
times faster than NumPy can. It accepts the expression as a string,
analyzes it, rewrites it more efficiently, and compiles it to faster
Python code on the fly. It's the next best thing to writing the
expression in C and compiling it with a specialized just-in-time
(JIT) compiler, i.e. it does not require a compiler at runtime.
.
This is the Python 2 version of the package.
Package: python-numexpr-dbg
Architecture: any
Section: debug
Priority: extra
Depends: ${python:Depends},
${shlibs:Depends},
${misc:Depends},
python-numexpr (= ${binary:Version}),
python-dbg,
python-numpy-dbg
Description: Fast numerical array expression evaluator for Python and NumPy (debug ext)
Numexpr package evaluates multiple-operator array expressions many
times faster than NumPy can. It accepts the expression as a string,
analyzes it, rewrites it more efficiently, and compiles it to faster
Python code on the fly. It's the next best thing to writing the
expression in C and compiling it with a specialized just-in-time
(JIT) compiler, i.e. it does not require a compiler at runtime.
.
This package contains the extension built for the Python 2 debug
interpreter.
Package: python3-numexpr
Architecture: any
Depends: ${python3:Depends},
${shlibs:Depends},
${misc:Depends},
python3-pkg-resources
Description: Fast numerical array expression evaluator for Python 3 and NumPy
Numexpr package evaluates multiple-operator array expressions many
times faster than NumPy can. It accepts the expression as a string,
analyzes it, rewrites it more efficiently, and compiles it to faster
Python code on the fly. It's the next best thing to writing the
expression in C and compiling it with a specialized just-in-time
(JIT) compiler, i.e. it does not require a compiler at runtime.
.
This package contains numexpr for Python 3.
Package: python3-numexpr-dbg
Architecture: any
Section: debug
Priority: extra
Depends: ${python3:Depends},
${shlibs:Depends},
${misc:Depends},
python3-numexpr (= ${binary:Version}),
python3-dbg,
python3-numpy-dbg
Description: Fast numerical array expression evaluator for Python 3 and NumPy (debug ext)
Numexpr package evaluates multiple-operator array expressions many
times faster than NumPy can. It accepts the expression as a string,
analyzes it, rewrites it more efficiently, and compiles it to faster
Python code on the fly. It's the next best thing to writing the
expression in C and compiling it with a specialized just-in-time
(JIT) compiler, i.e. it does not require a compiler at runtime.
.
This package contains the extension built for the Python 3 debug
interpreter.
|
