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tox.ini
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tox.ini
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[tox]
envlist =
py{27,34,35}
pypy
py{27,34,35}-nodeps
py{27,34,35}-jenkins
[testenv]
; simplify numpy installation
setenv =
LAPACK=
ATLAS=None
PYTHONWARNINGS=ignore
; Copy all environment variables to the tox test environment
passenv = *
deps =
numpy
nose >= 1.2.1
coverage
text-unidecode
twython
pyparsing
python-crfsuite
rednose
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 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:py27-nodeps]
basepython = python2.7
deps =
nose >= 1.2.1
rednose
commands = python runtests.py []
[testenv:py34-nodeps]
basepython = python3.4
deps =
nose >= 1.2.1
rednose
commands = python runtests.py []
[testenv:py35-nodeps]
basepython = python3.5
deps =
nose >= 1.2.1
rednose
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: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/