forked from nltk/nltk
-
Notifications
You must be signed in to change notification settings - Fork 0
/
tox.ini
147 lines (123 loc) · 3.66 KB
/
tox.ini
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
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
[tox]
envlist = py27,py33,py34,py35,pypy,py27-nodeps,py33-nodeps,py34-nodeps,py35-nodeps,py27-jenkins,py33-jenkins,py34-jenkins,py35-jenkins
[testenv]
; simplify numpy installation
setenv =
LAPACK=
ATLAS=None
deps =
numpy
nose >= 1.2.1
coverage
text-unidecode
twython
; six
changedir = nltk/test
commands =
; scipy and scikit-learn requires numpy even to run setup.py so
; they can't be installed in one command
pip install --download-cache={toxworkdir}/_download scipy scikit-learn
; python runtests.py --with-coverage --cover-inclusive --cover-package=nltk --cover-html --cover-html-dir={envdir}/docs []
python runtests.py []
[testenv:pypy]
; numpy is bundled with pypy; coverage is extra slow and
; the coverage results are not that different from CPython.
deps =
nose >= 1.2.1
twython
commands =
python runtests.py []
[testenv:py33]
deps =
numpy
nose >= 1.2.1
coverage
text-unidecode
twython
; six
commands =
; scipy and scikit-learn requires numpy even to run setup.py so
; they can't be installed in one command
pip install --download-cache={toxworkdir}/_download scipy scikit-learn
; python runtests.py --with-coverage --cover-inclusive --cover-package=nltk --cover-html --cover-html-dir={envdir}/docs []
python runtests.py []
[testenv:py34]
deps =
numpy
nose >= 1.2.1
coverage
text-unidecode
twython
; six
commands =
; scipy and scikit-learn requires numpy even to run setup.py so
; they can't be installed in one command
pip install --download-cache={toxworkdir}/_download scipy scikit-learn
; python runtests.py --with-coverage --cover-inclusive --cover-package=nltk --cover-html --cover-html-dir={envdir}/docs []
python runtests.py []
[testenv:py35]
deps =
numpy
nose >= 1.2.1
coverage
text-unidecode
twython
; six
commands =
; scipy and scikit-learn requires numpy even to run setup.py so
; they can't be installed in one command
pip install --download-cache={toxworkdir}/_download scipy scikit-learn
; python runtests.py --with-coverage --cover-inclusive --cover-package=nltk --cover-html --cover-html-dir={envdir}/docs []
python runtests.py []
[testenv:py27-nodeps]
basepython = python2.7
deps =
nose >= 1.2.1
; six
commands = python runtests.py []
[testenv:py33-nodeps]
basepython = python3.3
deps =
nose >= 1.2.1
; six
commands = python runtests.py []
[testenv:py34-nodeps]
basepython = python3.4
deps =
nose >= 1.2.1
; six
commands = python runtests.py []
[testenv:py35-nodeps]
basepython = python3.4
deps =
nose >= 1.2.1
; six
commands = python runtests.py []
[testenv:py27-jenkins]
basepython = python2.7
commands = {toxinidir}/jenkins.sh
setenv =
STANFORD_MODELS = {homedir}/third/stanford-parser/
STANFORD_PARSER = {homedir}/third/stanford-parser/
STANFORD_POSTAGGER = {homedir}/third/stanford-postagger/
[testenv:py33-jenkins]
basepython = python3.3
commands = {toxinidir}/jenkins.sh
setenv =
STANFORD_MODELS = {homedir}/third/stanford-parser/
STANFORD_PARSER = {homedir}/third/stanford-parser/
STANFORD_POSTAGGER = {homedir}/third/stanford-postagger/
[testenv:py34-jenkins]
basepython = python3.4
commands = {toxinidir}/jenkins.sh
setenv =
STANFORD_MODELS = {homedir}/third/stanford-parser/
STANFORD_PARSER = {homedir}/third/stanford-parser/
STANFORD_POSTAGGER = {homedir}/third/stanford-postagger/
[testenv:py35-jenkins]
basepython = python3.5
commands = {toxinidir}/jenkins.sh
setenv =
STANFORD_MODELS = {homedir}/third/stanford-parser/
STANFORD_PARSER = {homedir}/third/stanford-parser/
STANFORD_POSTAGGER = {homedir}/third/stanford-postagger/