def run_setup(exts):
setup(
name='spacy',
packages=['spacy', 'spacy.en', 'spacy.syntax'],
description="Industrial-strength NLP",
author='Matthew Honnibal',
author_email='*****@*****.**',
version='0.33',
url="http://honnibal.github.io/spaCy/",
package_data={
"spacy": ["*.pxd"],
"spacy.en": [
"*.pxd", "data/pos/*", "data/wordnet/*", "data/tokenizer/*",
"data/vocab/lexemes.bin", "data/vocab/strings.txt"
],
"spacy.syntax": ["*.pxd"]
},
ext_modules=exts,
license="Dual: Commercial or AGPL",
install_requires=[
'numpy', 'murmurhash', 'cymem', 'preshed', 'thinc', "unidecode",
'wget'
],
setup_requires=["headers_workaround"],
)
import headers_workaround
headers_workaround.fix_venv_pypy_include()
headers_workaround.install_headers('murmurhash')
headers_workaround.install_headers('numpy')
def run_setup(exts):
setup(
name='spacy',
packages=['spacy', 'spacy.tokens', 'spacy.en', 'spacy.serialize',
'spacy.syntax', 'spacy.munge'],
description="Industrial-strength NLP",
author='Matthew Honnibal',
author_email='*****@*****.**',
version=VERSION,
url="http://honnibal.github.io/spaCy/",
package_data={"spacy": ["*.pxd"],
"spacy.en": ["*.pxd", "data/pos/*",
"data/wordnet/*", "data/tokenizer/*",
"data/vocab/lexemes.bin",
"data/vocab/serializer.json",
"data/vocab/oov_prob",
"data/vocab/strings.txt"],
"spacy.syntax": ["*.pxd"]},
ext_modules=exts,
license="MIT",
install_requires=['numpy', 'murmurhash', 'cymem >= 1.11', 'preshed >= 0.42',
'thinc == 3.3', "text_unidecode", 'plac', 'six',
'ujson', 'cloudpickle'],
setup_requires=["headers_workaround"],
cmdclass = {'build_ext': build_ext_subclass },
)
import headers_workaround
headers_workaround.fix_venv_pypy_include()
headers_workaround.install_headers('murmurhash')
headers_workaround.install_headers('numpy')
def run_setup(exts):
setup(
name='spacy',
packages=['spacy', 'spacy.en', 'spacy.syntax'],
description="Industrial-strength NLP",
author='Matthew Honnibal',
author_email='*****@*****.**',
version='0.83',
url="http://honnibal.github.io/spaCy/",
package_data={"spacy": ["*.pxd"],
"spacy.en": ["*.pxd", "data/pos/*",
"data/wordnet/*", "data/tokenizer/*",
"data/vocab/lexemes.bin",
"data/vocab/strings.txt"],
"spacy.syntax": ["*.pxd"]},
ext_modules=exts,
license="Dual: Commercial or AGPL",
install_requires=['numpy', 'murmurhash', 'cymem >= 1.11', 'preshed', 'thinc',
"unidecode", 'wget', 'plac', 'six'],
setup_requires=["headers_workaround"],
)
import headers_workaround
headers_workaround.fix_venv_pypy_include()
headers_workaround.install_headers('murmurhash')
headers_workaround.install_headers('numpy')
def run_setup(exts):
setup(
name='spacy',
packages=['spacy', 'spacy.tokens', 'spacy.en', 'spacy.serialize',
'spacy.syntax', 'spacy.munge'],
description="Industrial-strength NLP",
author='Matthew Honnibal',
author_email='*****@*****.**',
version=VERSION,
url="http://honnibal.github.io/spaCy/",
package_data={"spacy": ["*.pxd"],
"spacy.en": ["*.pxd", "data/pos/*",
"data/wordnet/*", "data/tokenizer/*",
"data/vocab/lexemes.bin",
"data/vocab/serializer.json",
"data/vocab/oov_prob",
"data/vocab/strings.txt"],
"spacy.syntax": ["*.pxd"]},
ext_modules=exts,
license="MIT",
install_requires=['numpy', 'murmurhash', 'cymem >= 1.11', 'preshed == 0.41',
'thinc == 3.3', "text_unidecode", 'wget', 'plac', 'six',
'ujson'],
setup_requires=["headers_workaround"],
)
import headers_workaround
headers_workaround.fix_venv_pypy_include()
headers_workaround.install_headers('murmurhash')
headers_workaround.install_headers('numpy')
def run_setup(exts):
setup(
name="spacy",
packages=[
"spacy",
"spacy.tokens",
"spacy.en",
"spacy.serialize",
"spacy.syntax",
"spacy.munge",
"spacy.tests",
"spacy.tests.matcher",
"spacy.tests.morphology",
"spacy.tests.munge",
"spacy.tests.parser",
"spacy.tests.serialize",
"spacy.tests.spans",
"spacy.tests.tagger",
"spacy.tests.tokenizer",
"spacy.tests.tokens",
"spacy.tests.vectors",
"spacy.tests.vocab",
],
description="Industrial-strength NLP",
author="Matthew Honnibal",
author_email="*****@*****.**",
version=VERSION,
url="http://honnibal.github.io/spaCy/",
package_data=PACKAGE_DATA,
ext_modules=exts,
license="MIT",
install_requires=[
"numpy",
"murmurhash",
"cymem == 1.30",
"preshed == 0.43",
"thinc == 4.0.0",
"text_unidecode",
"plac",
"six",
"ujson",
"cloudpickle",
],
setup_requires=["headers_workaround"],
cmdclass={"build_ext": build_ext_subclass},
)
import headers_workaround
headers_workaround.fix_venv_pypy_include()
headers_workaround.install_headers("murmurhash")
headers_workaround.install_headers("numpy")
def run_setup(exts):
setup(
name="spacy",
packages=["spacy", "spacy.tokens", "spacy.en", "spacy.serialize", "spacy.syntax", "spacy.munge"],
description="Industrial-strength NLP",
author="Matthew Honnibal",
author_email="*****@*****.**",
version=VERSION,
url="http://honnibal.github.io/spaCy/",
package_data={
"spacy": ["*.pxd"],
"spacy.en": [
"*.pxd",
"data/pos/*",
"data/wordnet/*",
"data/tokenizer/*",
"data/vocab/lexemes.bin",
"data/vocab/serializer.json",
"data/vocab/oov_prob",
"data/vocab/strings.txt",
],
"spacy.syntax": ["*.pxd"],
},
ext_modules=exts,
license="MIT",
install_requires=[
"numpy",
"murmurhash",
"cymem >= 1.11",
"preshed >= 0.41",
"thinc == 3.3",
"text_unidecode",
"wget",
"plac",
"six",
"ujson",
"cloudpickle",
],
setup_requires=["headers_workaround"],
)
import headers_workaround
headers_workaround.fix_venv_pypy_include()
headers_workaround.install_headers("murmurhash")
headers_workaround.install_headers("numpy")
def run_setup(exts):
setup(
name='thinc',
packages=['thinc'],
version='2.0',
description="Learn sparse linear models",
author='Matthew Honnibal',
author_email='*****@*****.**',
url="http://github.com/syllog1sm/thinc",
package_data={"thinc": ["*.pyx", "*.pxd", "*.pxi"]},
ext_modules=exts,
install_requires=["murmurhash", "cymem", "preshed"],
setup_requires=["headers_workaround"]
)
import headers_workaround
headers_workaround.fix_venv_pypy_include()
headers_workaround.install_headers('murmurhash')
def run_setup(exts):
setup(
name='spacy',
packages=['spacy', 'spacy.tokens', 'spacy.en', 'spacy.serialize',
'spacy.syntax', 'spacy.munge',
'spacy.tests',
'spacy.tests.matcher',
'spacy.tests.morphology',
'spacy.tests.munge',
'spacy.tests.parser',
'spacy.tests.serialize',
'spacy.tests.spans',
'spacy.tests.tagger',
'spacy.tests.tokenizer',
'spacy.tests.tokens',
'spacy.tests.vectors',
'spacy.tests.vocab'],
description="Industrial-strength NLP",
author='Matthew Honnibal',
author_email='*****@*****.**',
version=VERSION,
url="http://honnibal.github.io/spaCy/",
package_data=PACKAGE_DATA,
ext_modules=exts,
license="MIT",
install_requires=['numpy', 'murmurhash', 'cymem == 1.30', 'preshed == 0.44',
'thinc == 4.0.0', "text_unidecode", 'plac', 'six',
'ujson', 'cloudpickle'],
setup_requires=["headers_workaround"],
cmdclass = {'build_ext': build_ext_subclass },
)
import headers_workaround
headers_workaround.fix_venv_pypy_include()
headers_workaround.install_headers('murmurhash')
headers_workaround.install_headers('numpy')