text: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import re
  import sys
  import json
  import collections
  
  import conll 
  from utils import flatten_list_of_lists
  
  
  class DocumentState(object):
      def __init__(self):
          self.doc_key = None
          self.text = []
          self.text_speakers = []
          self.speakers = []
          self.sentences = []
          self.constituents = {}
          self.const_stack = []
          self.ner = {}
          self.ner_stack = []
          self.clusters = collections.defaultdict(list)
          self.coref_stacks = collections.defaultdict(list)
  
      def assert_empty(self):
          assert self.doc_key is None
          assert len(self.text) == 0
          assert len(self.text_speakers) == 0
          assert len(self.speakers) == 0
          assert len(self.sentences) == 0
          assert len(self.constituents) == 0
          assert len(self.const_stack) == 0
          assert len(self.ner) == 0
          assert len(self.ner_stack) == 0
          assert len(self.coref_stacks) == 0
          assert len(self.clusters) == 0
  
      def assert_finalizable(self):
          assert self.doc_key is not None
          assert len(self.text) == 0
          assert len(self.text_speakers) == 0
          assert len(self.speakers) > 0
          assert len(self.sentences) > 0
          assert len(self.constituents) > 0
          assert len(self.const_stack) == 0
          assert len(self.ner_stack) == 0
          assert all(len(s) == 0 for s in self.coref_stacks.values())
  
      def span_dict_to_list(self, span_dict):
          return [(s, e, l) for (s, e), l in span_dict.items()]
  
      def finalize(self):
          merged_clusters = []
          for c1 in self.clusters.values():
              existing = None
              for m in c1:
                  for c2 in merged_clusters:
                      if m in c2:
                          existing = c2
                          break
                  if existing is not None:
                      break
              if existing is not None:
                  print("Merging clusters (shouldn't happen very often.)")
                  existing.update(c1)
              else:
                  merged_clusters.append(set(c1))
          merged_clusters = [list(c) for c in merged_clusters]
          all_mentions = flatten_list_of_lists(merged_clusters)
          assert len(all_mentions) == len(set(all_mentions))
  
          return {
              "doc_key": self.doc_key,
              "sentences": self.sentences,
              "speakers": self.speakers,
              "constituents": self.span_dict_to_list(self.constituents),
              "ner": self.span_dict_to_list(self.ner),
              "clusters": merged_clusters
          }
  
  
  def normalize_word(word, language):
      if language == "arabic":
          word = word[:word.find("#")]
      if word == "/." or word == "/?":
          return word[1:]
      else:
          return word
  
  
  def handle_bit(word_index, bit, stack, spans):
      asterisk_idx = bit.find("*")
      if asterisk_idx >= 0:
          open_parens = bit[:asterisk_idx]
          close_parens = bit[asterisk_idx + 1:]
      else:
          open_parens = bit[:-1]
          close_parens = bit[-1]
  
      current_idx = open_parens.find("(")
      while current_idx >= 0:
          next_idx = open_parens.find("(", current_idx + 1)
          if next_idx >= 0:
              label = open_parens[current_idx + 1:next_idx]
          else:
              label = open_parens[current_idx + 1:]
          stack.append((word_index, label))
          current_idx = next_idx
  
      for c in close_parens:
          assert c == ")"
          open_index, label = stack.pop()
          current_span = (open_index, word_index)
          """
          if current_span in spans:
            spans[current_span] += "_" + label
          else:
            spans[current_span] = label
          """
          spans[current_span] = label
  
  
  def handle_line(line, document_state, language, labels, stats):
      begin_document_match = re.match(conll.BEGIN_DOCUMENT_REGEX, line)
      if begin_document_match:
          document_state.assert_empty()
          document_state.doc_key = conll.get_doc_key(begin_document_match.group(1), begin_document_match.group(2))
          return None
      elif line.startswith("#end document"):
          document_state.assert_finalizable()
          finalized_state = document_state.finalize()
          stats["num_clusters"] += len(finalized_state["clusters"])
          stats["num_mentions"] += sum(len(c) for c in finalized_state["clusters"])
          labels["{}_const_labels".format(language)].update(l for _, _, l in finalized_state["constituents"])
          labels["ner"].update(l for _, _, l in finalized_state["ner"])
          return finalized_state
      else:
          row = line.split()
          if len(row) == 0:
              stats["max_sent_len_{}".format(language)] = max(len(document_state.text), stats["max_sent_len_{}".format(language)])
              stats["num_sents_{}".format(language)] += 1
              document_state.sentences.append(tuple(document_state.text))
              del document_state.text[:]
              document_state.speakers.append(tuple(document_state.text_speakers))
              del document_state.text_speakers[:]
              return None
          assert len(row) >= 12
  
          doc_key = conll.get_doc_key(row[0], row[1])
          word = normalize_word(row[3], language)
          parse = row[5]
          speaker = row[9]
          ner = row[10]
          coref = row[-1]
  
          word_index = len(document_state.text) + sum(len(s) for s in document_state.sentences)
          document_state.text.append(word)
          document_state.text_speakers.append(speaker)
  
          handle_bit(word_index, parse, document_state.const_stack, document_state.constituents)
          handle_bit(word_index, ner, document_state.ner_stack, document_state.ner)
  
          if coref != "-":
              for segment in coref.split("|"):
                  if segment[0] == "(":
                      if segment[-1] == ")":
                          cluster_id = int(segment[1:-1])
                          document_state.clusters[cluster_id].append((word_index, word_index))
                      else:
                          cluster_id = int(segment[1:])
                          document_state.coref_stacks[cluster_id].append(word_index)
                  else:
                      cluster_id = int(segment[:-1])
                      start = document_state.coref_stacks[cluster_id].pop()
                      document_state.clusters[cluster_id].append((start, word_index))
          return None
  
  
  def minimize_partition(data_dir, name, language, extension, labels, stats):
      #input_path = f"{data_dir}/{name}.{language}.{extension}"
      #output_path = f"{data_dir}/{name}.{language}.jsonlines"
      input_path = f"{data_dir}/{name}"
      output_path = f"{data_dir}/{name}.{language}.jsonlines"
      count = 0
      print("Minimizing {}".format(input_path))
      with open(input_path, "r") as input_file:
          with open(output_path, "w") as output_file:
              document_state = DocumentState()
              for line in input_file.readlines():
                  document = handle_line(line, document_state, language, labels, stats)
                  if document is not None:
                      output_file.write(json.dumps(document))
                      output_file.write("\n")
                      count += 1
                      document_state = DocumentState()
      print("Wrote {} documents to {}".format(count, output_path))
  
  
  def minimize_language(data_dir, language, labels, stats):
      minimize_partition(data_dir, "dev", language, "v4_gold_conll", labels, stats)
      minimize_partition(data_dir, "train", language, "v4_gold_conll", labels, stats)
      minimize_partition(data_dir, "test", language, "v4_gold_conll", labels, stats)
  
  
  if __name__ == "__main__":
      data_dir = sys.argv[1]
      labels = collections.defaultdict(set)
      stats = collections.defaultdict(int)
      minimize_language(data_dir, "english", labels, stats)
      # minimize_language("chinese", labels, stats)
      # minimize_language("arabic", labels, stats)
      for k, v in labels.items():
          print("{} = [{}]".format(k, ", ".join("\"{}\"".format(label) for label in v)))
      for k, v in stats.items():
          print("{} = {}".format(k, v))