mirror of
https://github.com/explosion/spaCy.git
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57 lines
1.6 KiB
Python
57 lines
1.6 KiB
Python
from os import path
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import os
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import tarfile
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import shutil
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import requests
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PARSER_URL = 'http://s3-us-west-1.amazonaws.com/media.spacynlp.com/en.tgz'
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DEP_VECTORS_URL = 'http://u.cs.biu.ac.il/~yogo/data/syntemb/deps.words.bz2'
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DEST_DIR = path.join(path.dirname(__file__), 'data')
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def download_file(url):
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local_filename = url.split('/')[-1]
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return path.join(DEST_DIR, local_filename)
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# NOTE the stream=True parameter
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r = requests.get(url, stream=True)
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print "Download %s" % url
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i = 0
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with open(local_filename, 'wb') as f:
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for chunk in r.iter_content(chunk_size=1024):
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if chunk: # filter out keep-alive new chunks
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f.write(chunk)
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f.flush()
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print i
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i += 1
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return local_filename
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def install_parser_model(url, dest_dir):
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if not os.path.exists(dest_dir):
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os.mkdir(dest_dir)
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assert not path.exists(path.join(dest_dir, 'en'))
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filename = download_file(url)
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t = tarfile.open(filename, mode=":gz")
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t.extractall(dest_dir)
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shutil.move(path.join(dest_dir, 'en', 'deps', 'model'), dest_dir)
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shutil.move(path.join(dest_dir, 'en', 'deps', 'config.json'), dest_dir)
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shutil.rmtree(path.join(dest_dir, 'en'))
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def install_dep_vectors(url, dest_dir):
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if not os.path.exists(dest_dir):
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os.mkdir(dest_dir)
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filename = download_file(url)
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shutil.move(filename, path.join(dest_dir, 'vec.bz2'))
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def main():
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#install_parser_model(PARSER_URL, path.join(DEST_DIR, 'deps'))
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install_dep_vectors(DEP_VECTORS_URL, path.join(DEST_DIR, 'vocab'))
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if __name__ == '__main__':
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main()
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