#!/usr/bin/python3
import os
import os.path
import sys
from subprocess import Popen, PIPE
from argparse import ArgumentParser
from operator import itemgetter
import utils
from myconfig import MyConfig
config = MyConfig()
#change cwd to the libpinyin data directory
libpinyin_dir = config.getToolsDir()
libpinyin_sub_dir = os.path.join(libpinyin_dir, 'data')
os.chdir(libpinyin_sub_dir)
#chdir done
def handleError(error):
sys.exit(error)
def handleOneModel(modelfile, reportfile):
modelfilestatuspath = modelfile + config.getStatusPostfix()
modelfilestatus = utils.load_status(modelfilestatuspath)
if not utils.check_epoch(modelfilestatus, 'Generate'):
raise utils.EpochError('Please generate first.\n')
if utils.check_epoch(modelfilestatus, 'Estimate'):
return
#!/usr/bin/python3
import os
import os.path
import sys
from subprocess import Popen, PIPE
from argparse import ArgumentParser
import utils
from myconfig import MyConfig
from dirwalk import walkIndexFast
config = MyConfig()
#change cwd to the libpinyin data directory
libpinyin_dir = config.getToolsDir()
libpinyin_sub_dir = os.path.join(libpinyin_dir, 'data')
os.chdir(libpinyin_sub_dir)
#chdir done
#Note: all file passed here should be trained.
def generateOneText(infile, modelfile, reportfile):
infilestatuspath = infile + config.getStatusPostfix()
infilestatus = utils.load_status(infilestatuspath)
if not utils.check_epoch(infilestatus, 'MergeSequence'):
raise utils.EpochError('Please mergeseq first.\n')
if utils.check_epoch(infilestatus, 'Generate'):
return False
#begin processing
cmdline = ['../utils/training/gen_k_mixture_model', \
'--maximum-occurs-allowed', \
