mirror of https://github.com/explosion/spaCy.git
49 lines
1.3 KiB
Python
49 lines
1.3 KiB
Python
import json
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from fabric.api import local, run, lcd, cd, env
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def make():
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local('python setup.py build_ext --inplace > /dev/null 2> /tmp/err')
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def vmake():
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local('python setup.py build_ext --inplace')
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def clean():
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local('python setup.py clean --all')
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def docs():
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with lcd('docs'):
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local('make html')
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def test():
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local('py.test -x')
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def sbox():
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local('python sb_setup.py build_ext --inplace')
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def sbclean():
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local('python sb_setup.py clean --all')
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def pos():
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local('rm -rf data/en/pos')
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local('python tools/train.py pos ~/work_data/docparse/wsj02-21.conll data/en/pos')
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local('python tools/tag.py ~/work_data/docparse/wsj22.raw /tmp/tmp')
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local('python tools/eval_pos.py ~/work_data/docparse/wsj22.conll /tmp/tmp')
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def ner():
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local('rm -rf data/en/ner')
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local('python tools/train_ner.py ~/work_data/docparse/wsj02-21.conll data/en/ner')
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local('python tools/tag_ner.py ~/work_data/docparse/wsj22.raw /tmp/tmp')
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local('python tools/eval_ner.py ~/work_data/docparse/wsj22.conll /tmp/tmp | tail')
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def conll():
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local('rm -rf data/en/ner')
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local('python tools/conll03_train.py ~/work_data/ner/conll2003/eng.train data/en/ner/')
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local('python tools/conll03_eval.py ~/work_data/ner/conll2003/eng.testa')
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