old_contents: # coding: utf8
  
  from __future__ import print_function, unicode_literals
  import os, codecs, tempfile
  from .Lemmatizer import Lemmatizer
  from .POSTagger import POSTagger
  from nltk.parse import DependencyGraph
  from nltk.parse.malt import MaltParser
  
  
  class DependencyParser(MaltParser):
  	def __init__(self, tagger, lemmatizer=Lemmatizer(), model_file='langModel.mco', working_dir='resources'):
  		os.environ['MALTPARSERHOME'] = working_dir
  		super(DependencyParser, self).__init__(tagger=tagger, mco=model_file, working_dir=working_dir)
  		self.lemmatize = lemmatizer.lemmatize if lemmatizer else lambda w, t: '_'
  
  	def tagged_parse_sents(self, sentences, verbose=False):
  		"""
  		>>> parser.parse(['من', 'به', 'مدرسه', 'رفته بودم', '.']).tree().pprint()
  		'(رفته_بودم من (به مدرسه) .)'
  		"""
  
  		input_file = tempfile.NamedTemporaryFile(prefix='malt_input.conll', dir=self.working_dir, delete=False)
  		output_file = tempfile.NamedTemporaryFile(prefix='malt_output.conll', dir=self.working_dir, delete=False)
  
  		try:
  			for sentence in sentences:
  				for i, (word, tag) in enumerate(sentence, start=1):
  					word = word.strip()
  					if not word: word = '_'
  					input_file.write(('\t'.join([str(i), word.replace(' ', '_'), self.lemmatize(word, tag).replace(' ', '_'), tag, tag, '_', '0', 'ROOT', '_', '_', '\n'])).encode('utf8'))
  				input_file.write('\n\n'.encode('utf8'))
  			input_file.close()
  
  			cmd = ['java', '-jar', self._malt_bin, '-w', self.working_dir, '-c', self.mco, '-i', input_file.name, '-o', output_file.name, '-m', 'parse']
  			if self._execute(cmd, verbose) != 0:
  				raise Exception("MaltParser parsing failed: %s" % (' '.join(cmd)))
  
  			return [DependencyGraph(item) for item in codecs.open(output_file.name, encoding='utf8').read().split('\n\n')]
  
  		finally:
  			input_file.close()
  			os.remove(input_file.name)
  			output_file.close()
  			os.remove(output_file.name)
  
new_contents: # coding: utf8
  
  from __future__ import print_function, unicode_literals
  import os, codecs, tempfile
  from .Lemmatizer import Lemmatizer
  from .POSTagger import POSTagger
  from nltk.parse import DependencyGraph
  from nltk.parse.malt import MaltParser
  
  
  class DependencyParser(MaltParser):
  	def __init__(self, tagger, lemmatizer=Lemmatizer(), model_file='langModel.mco', working_dir='resources'):
  		os.environ['MALT_PARSER'] = working_dir
  		super(DependencyParser, self).__init__(tagger=tagger, mco=model_file, working_dir=working_dir)
  		self.lemmatize = lemmatizer.lemmatize if lemmatizer else lambda w, t: '_'
  
  	def tagged_parse_sents(self, sentences, verbose=False):
  		"""
  		>>> parser.parse(['من', 'به', 'مدرسه', 'رفته بودم', '.']).tree().pprint()
  		'(رفته_بودم من (به مدرسه) .)'
  		"""
  
  		input_file = tempfile.NamedTemporaryFile(prefix='malt_input.conll', dir=self.working_dir, delete=False)
  		output_file = tempfile.NamedTemporaryFile(prefix='malt_output.conll', dir=self.working_dir, delete=False)
  
  		try:
  			for sentence in sentences:
  				for i, (word, tag) in enumerate(sentence, start=1):
  					word = word.strip()
  					if not word: word = '_'
  					input_file.write(('\t'.join([str(i), word.replace(' ', '_'), self.lemmatize(word, tag).replace(' ', '_'), tag, tag, '_', '0', 'ROOT', '_', '_', '\n'])).encode('utf8'))
  				input_file.write('\n\n'.encode('utf8'))
  			input_file.close()
  
  			cmd = ['java', '-jar', self._malt_bin, '-w', self.working_dir, '-c', self.mco, '-i', input_file.name, '-o', output_file.name, '-m', 'parse']
  			if self._execute(cmd, verbose) != 0:
  				raise Exception("MaltParser parsing failed: %s" % (' '.join(cmd)))
  
  			return [DependencyGraph(item) for item in codecs.open(output_file.name, encoding='utf8').read().split('\n\n')]
  
  		finally:
  			input_file.close()
  			os.remove(input_file.name)
  			output_file.close()
  			os.remove(output_file.name)
  
subject: fix malt parser environment variable