Mercurial > repos > stevecassidy > nltktools

annotate g_read_sents.py @ 2:a47980ef2b96 draft

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planemo upload for repository https://github.com/Alveo/alveo-galaxy-tools commit b5b26e9118f2ad8af109d606746b39a5588f0511-dirty
author stevecassidy
date Wed, 01 Nov 2017 01:19:55 -0400
parents fb617586f4b2
children
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2 import os
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3 import nltk
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4 from nltk.corpus import PlaintextCorpusReader
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5 import argparse
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7 nltk.download('punkt', quiet=True)
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10 def Parser():
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11 the_parser = argparse.ArgumentParser(description="Segments the text input into separate sentences")
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12 the_parser.add_argument('--input', required=True, action="store", type=str, help="input text file")
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13 the_parser.add_argument('--output', required=True, action="store", type=str, help="output file path")
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15 args = the_parser.parse_args()
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16 return args
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19 def print_out(outp, sentences):
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20 with open(outp, 'w') as output:
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21 for sent in sentences:
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22 for tok in sent:
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23 output.write(tok)
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24 output.write(' ')
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25 output.write('\n')
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28 def find_nth(string, sub, n, offset):
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29 start = string.find(sub, offset)
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30 while start >= 0 and n > 1:
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31 start = string.find(sub, start + len(sub))
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32 n -= 1
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33 return start
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36 def count_occurences(lst, string):
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37 count = 0
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38 for item in lst:
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39 if string in item:
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40 count += 1
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41 return count
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44 def read_sents(inp, outp):
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46 corpus = PlaintextCorpusReader(os.path.dirname(inp), os.path.basename(inp))
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47 sents = corpus.sents()
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48 print_out(outp, sents)
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51 if __name__ == '__main__':
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52 args = Parser()
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53 read_sents(args.input, args.output)