75 lines
2.7 KiB
Python
75 lines
2.7 KiB
Python
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#!/usr/bin/env python3
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# -*- encoding: utf-8 -*-
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# Copyright (c) 2017 Adler Neves <adlerosn@gmail.com>
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#
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# MIT License
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#
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# Permission is hereby granted, free of charge, to any person obtaining
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# a copy of this software and associated documentation files (the
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# "Software"), to deal in the Software without restriction, including
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# without limitation the rights to use, copy, modify, merge, publish,
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# distribute, sublicense, and/or sell copies of the Software, and to
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# permit persons to whom the Software is furnished to do so, subject to
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# the following conditions:
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#
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# The above copyright notice and this permission notice shall be
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# included in all copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
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# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
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# LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
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# OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
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# WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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with open('unitexable_test/corpus.txt.answersheet.txt') as f:
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answers = [sentence.splitlines() for sentence in f.read().strip().split('\n\n')]
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with open('unitexable_test/corpus.txt.retagged.txt') as f:
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guesses = [sentence.splitlines() for sentence in f.read().strip().split('\n\n')]
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def extractSentence(seq):
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return ' '.join([s.split('/')[0] for s in seq])
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answers_d = {extractSentence(n): n for n in answers}
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guesses_d = {extractSentence(n): n for n in guesses}
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inBoth = {key for key in set(answers_d.keys()).intersection(set(guesses_d.keys())) if len(key)>0}
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answers_final = list()
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guesses_final = list()
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for key in inBoth:
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answers_final.append(answers_d[key])
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guesses_final.append(guesses_d[key])
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with open('unitexable_test/corpus.answers_final.txt','w') as f:
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f.write('\n\n'.join(['\n'.join(sentence) for sentence in answers_final]))
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with open('unitexable_test/corpus.guesses_final.txt','w') as f:
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f.write('\n\n'.join(['\n'.join(sentence) for sentence in guesses_final]))
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def extractStatistics(seq):
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sizeSentences = len(seq)
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_tokens = ' '.join(seq).split(' ')
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sizeTokens = len(_tokens)
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sizeUniqueTokens = len(set(_tokens))
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return {
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'sentences': sizeSentences,
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'tokens': sizeTokens,
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'uniqueTokens': sizeUniqueTokens
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}
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statistics = {
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'answers': extractStatistics(answers_d.keys()),
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'guesses': extractStatistics(guesses_d.keys()),
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'testset': extractStatistics(inBoth),
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}
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import json
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with open('unitexable_test/quick_statistics.json','w') as f:
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f.write(json.dumps(statistics,indent=4,sort_keys=True))
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