mirror of
https://github.com/explosion/spaCy.git
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138 lines
4.5 KiB
Python
138 lines
4.5 KiB
Python
#!/usr/bin/env python
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import subprocess
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# This is what we're down to...
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try:
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import Cython
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except ImportError:
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subprocess.call(['pip install cython'], shell=True)
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try:
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import murmurhash
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except ImportError:
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subprocess.call(['pip install murmurhash'], shell=True)
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try:
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import cymem
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except ImportError:
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subprocess.call(['pip install cymem'], shell=True)
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try:
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import preshed
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except ImportError:
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subprocess.call(['pip install preshed'], shell=True)
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try:
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import thinc
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except ImportError:
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subprocess.call(['pip install thinc'], shell=True)
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try:
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import numpy
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except ImportError:
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subprocess.call(['pip install numpy'], shell=True)
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import Cython.Distutils
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from Cython.Distutils import Extension
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import distutils.core
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import sys
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import os
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import os.path
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from os import path
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from glob import glob
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import numpy
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def clean(ext):
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for pyx in ext.sources:
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if pyx.endswith('.pyx'):
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c = pyx[:-4] + '.c'
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cpp = pyx[:-4] + '.cpp'
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so = pyx[:-4] + '.so'
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html = pyx[:-4] + '.html'
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if os.path.exists(so):
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os.unlink(so)
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if os.path.exists(c):
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os.unlink(c)
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elif os.path.exists(cpp):
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os.unlink(cpp)
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if os.path.exists(html):
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os.unlink(html)
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HERE = os.path.dirname(__file__)
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virtual_env = os.environ.get('VIRTUAL_ENV', '')
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compile_args = []
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link_args = []
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libs = []
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includes = ['.', numpy.get_include()]
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cython_includes = ['.']
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if 'VIRTUAL_ENV' in os.environ:
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includes += glob(path.join(os.environ['VIRTUAL_ENV'], 'include', 'site', '*'))
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else:
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# If you're not using virtualenv, set your include dir here.
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pass
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ext_args = {'language': "c++", "include_dirs": includes}
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exts = [
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Extension("spacy.typedefs", ["spacy/typedefs.pyx"], **ext_args),
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Extension("spacy.strings", ["spacy/strings.pyx"], **ext_args),
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Extension("spacy.lexeme", ["spacy/lexeme.pyx"], **ext_args),
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Extension("spacy.vocab", ["spacy/vocab.pyx"], **ext_args),
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Extension("spacy.tokens", ["spacy/tokens.pyx"], **ext_args),
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Extension("spacy.morphology", ["spacy/morphology.pyx"], **ext_args),
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Extension("spacy._ml", ["spacy/_ml.pyx"], **ext_args),
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Extension("spacy.tokenizer", ["spacy/tokenizer.pyx"], **ext_args),
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Extension("spacy.en.attrs", ["spacy/en/attrs.pyx"], **ext_args),
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Extension("spacy.en.pos", ["spacy/en/pos.pyx"], **ext_args),
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Extension("spacy.syntax.parser", ["spacy/syntax/parser.pyx"], **ext_args),
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Extension("spacy.syntax._state", ["spacy/syntax/_state.pyx"], **ext_args),
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Extension("spacy.syntax.arc_eager", ["spacy/syntax/arc_eager.pyx"], **ext_args),
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Extension("spacy.syntax._parse_features", ["spacy/syntax/_parse_features.pyx"],
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**ext_args)
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#Extension("spacy.pos_feats", ["spacy/pos_feats.pyx"], language="c++", include_dirs=includes),
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#Extension("spacy.ner._state", ["spacy/ner/_state.pyx"], language="c++", include_dirs=includes),
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#Extension("spacy.ner.bilou_moves", ["spacy/ner/bilou_moves.pyx"], language="c++", include_dirs=includes),
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#Extension("spacy.ner.io_moves", ["spacy/ner/io_moves.pyx"], language="c++", include_dirs=includes),
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#Extension("spacy.ner.greedy_parser", ["spacy/ner/greedy_parser.pyx"], language="c++", include_dirs=includes),
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#Extension("spacy.ner.pystate", ["spacy/ner/pystate.pyx"], language="c++", include_dirs=includes),
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#Extension("spacy.ner.context", ["spacy/ner/context.pyx"], language="c++", include_dirs=includes),
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#Extension("spacy.ner.feats", ["spacy/ner/feats.pyx"], language="c++", include_dirs=includes),
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#Extension("spacy.ner.annot", ["spacy/ner/annot.pyx"], language="c++", include_dirs=includes),
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]
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if sys.argv[1] == 'clean':
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print >> sys.stderr, "cleaning .c, .c++ and .so files matching sources"
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map(clean, exts)
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distutils.core.setup(
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name='spacy',
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packages=['spacy', 'spacy.en', 'spacy.syntax'],
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description="Industrial-strength NLP",
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author='Matthew Honnibal',
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author_email='honnibal@gmail.com',
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version='0.1',
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url="http://honnibal.github.io/spaCy/",
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package_data={"spacy": ["*.pxd"], "spacy.en": ["*.pxd", "data/pos/*",
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"data/wordnet/*", "data/tokenizer/*",
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"data/vocab/*"],
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"spacy.syntax": ["*.pxd"]},
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cmdclass={'build_ext': Cython.Distutils.build_ext},
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ext_modules=exts,
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license="Dual: Commercial or AGPL",
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requires=['cython', 'murmurhash', 'cymem', 'preshed', 'thinc', "unidecode",
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"ujson"]
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)
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