buildfsa.py
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# -*- coding:utf-8 -*-
'''
Created on 21 paź 2013
@author: mlenart
'''
import sys
import logging
import codecs
import encode
import convertinput
from fsa import FSA
from serializer import SimpleSerializer
from visualizer import Visualizer
from optparse import OptionParser
logging.basicConfig(level=logging.DEBUG)
class OutputFormat():
BINARY = 'BINARY'
CPP = 'CPP'
class InputFormat():
ENCODED = 'ENCODED'
POLIMORF = 'POLIMORF'
PLAIN = 'PLAIN'
class FSAType():
MORPH = 'MORPH'
SPELL = 'SPELL'
def parseOptions():
"""
Parses commandline args
"""
parser = OptionParser()
parser.add_option('-i', '--input-file',
dest='inputFile',
metavar='FILE',
help='path to input file')
parser.add_option('-o', '--output-file',
dest='outputFile',
metavar='FILE',
help='path to output file')
parser.add_option('-t', '--fsa-type',
dest='fsaType',
help='result FSA type - MORPH (for morphological analysis) or SPELL (for simple spell checker)')
parser.add_option('--input-format',
dest='inputFormat',
help='input format - ENCODED, POLIMORF or PLAIN')
parser.add_option('--output-format',
dest='outputFormat',
help='output format - BINARY or CPP')
parser.add_option('--visualize',
dest='visualize',
action='store_true',
default=False,
help='visualize result')
parser.add_option('--train-file',
dest='trainFile',
help='A text file used for training. Should contain words from some large corpus - one word in each line')
opts, args = parser.parse_args()
if None in [opts.inputFile, opts.outputFile, opts.outputFormat, opts.inputFormat, opts.fsaType]:
parser.print_help()
exit(1)
if not opts.outputFormat.upper() in [OutputFormat.BINARY, OutputFormat.CPP]:
logging.error('output format must be one of ('+str([OutputFormat.BINARY, OutputFormat.CPP])+')')
parser.print_help()
exit(1)
if not opts.inputFormat.upper() in [InputFormat.ENCODED, InputFormat.POLIMORF, InputFormat.PLAIN]:
logging.error('input format must be one of ('+str([InputFormat.ENCODED, InputFormat.POLIMORF, InputFormat.PLAIN])+')')
parser.print_help()
exit(1)
if not opts.fsaType.upper() in [FSAType.MORPH, FSAType.SPELL]:
logging.error('input format must be one of ('+str([InputFormat.ENCODED, InputFormat.POLIMORF])+')')
parser.print_help()
exit(1)
if opts.inputFormat.upper() == FSAType.MORPH \
and not opts.inputFormat.upper() in [InputFormat.ENCODED, InputFormat.POLIMORF]:
logging.error('input format for morph analysis FSA must be one of ('+str([InputFormat.ENCODED, InputFormat.POLIMORF])+')')
parser.print_help()
exit(1)
if opts.inputFormat.upper() == FSAType.SPELL \
and not opts.inputFormat.upper() in [InputFormat.PLAIN]:
logging.error('input format for simple spelling FSA must be '+InputFormat.PLAIN)
parser.print_help()
exit(1)
return opts
def readEncodedInput(inputFile):
with codecs.open(inputFile, 'r', 'utf8') as f:
for line in f:
word, interps = line.strip().split()
yield word, interps.split(u'|')
def readPolimorfInput(inputFile, encoder):
with codecs.open(inputFile, 'r', 'utf8') as f:
for entry in convertinput.convertPolimorf(f, lambda (word, interp): encoder.word2SortKey(word)):
yield entry
def readPlainInput(inputFile, encoder):
with codecs.open(inputFile, 'r', 'utf8') as f:
for line in sorted(f, key=encoder.word2SortKey):
word = line.strip()
yield word, ''
def readTrainData(trainFile):
with codecs.open(trainFile, 'r', 'utf8') as f:
for line in f:
yield line.strip()
if __name__ == '__main__':
opts = parseOptions()
encoder = encode.Encoder()
fsa = FSA(encoder)
inputData = {
InputFormat.ENCODED: readEncodedInput(opts.inputFile),
InputFormat.POLIMORF: readPolimorfInput(opts.inputFile, encoder),
InputFormat.PLAIN: readPlainInput(opts.inputFile, encoder)
}[opts.inputFormat]
logging.info('feeding FSA with data ...')
fsa.feed(inputData, appendZero=True)
if opts.trainFile:
logging.info('training with '+opts.trainFile+' ...')
fsa.train(readTrainData(opts.trainFile))
logging.info('done training')
serializer = SimpleSerializer(fsa)
logging.info('states num: '+str(fsa.getStatesNum()))
logging.info('accepting states num: '+str(len([s for s in fsa.initialState.dfs(set()) if s.isAccepting()])))
logging.info('sink states num: '+str(len([s for s in fsa.initialState.dfs(set()) if len(s.transitionsMap.items()) == 0])))
{
OutputFormat.CPP: serializer.serialize2CppFile,
OutputFormat.BINARY: serializer.serialize2BinaryFile
}[opts.outputFormat](opts.outputFile)
if opts.visualize:
Visualizer().visualize(fsa)