old_contents: # LING 573 Question Answering System
  # Code last updated 4/17/14 by Clara Gordon
  # This code implements an InfoRetriever for the question answering system.
  
  
  from pymur import *
  from general_classes import *
  
  
  class InfoRetriever:
  
  
      # builds a QueryEnvironment associated with the indexed document collection
      def __init__(self, index_path):
          # how to get this to link up to the doc collection?
  
          self.path_to_idx = index_path
          self.index = Index(self.path_to_idx)
          self.query_env = QueryEnvironment()
          self.query_env.addIndex(self.path_to_idx)
  
  
      # creates a list of all the passages returned by all the queries generated by
      # the query-processing module
      def retrieve_passages(self, queries):
          passages = []
          for query in queries:
              query = " ".join(query)
              # second argument is the number of documents desired
              docs = self.query_env.runQuery("#combine[passage50:25](" + query + ")", 20)
              for doc in docs:
                  doc_num = doc.document
                  begin = doc.begin
                  end = doc.end
                  doc_id = self.query_env.documents([doc_num])[0].metadata['docno'] # need this for output
                  passage = Passage(self.index.document(doc_num, True)[begin:end], doc.score, doc_id)
                  passages.append(passage)
  
          return passages
  
  
  
new_contents: # LING 573 Question Answering System
  # Code last updated 4/17/14 by Clara Gordon
  # This code implements an InfoRetriever for the question answering system.
  
  
  from pymur import *
  from general_classes import *
  import sys
  
  
  class InfoRetriever:
  
  
      # builds a QueryEnvironment associated with the indexed document collection
      def __init__(self, index_path):
          # how to get this to link up to the doc collection?
  
          self.path_to_idx = index_path
          self.index = Index(self.path_to_idx)
          self.query_env = QueryEnvironment()
          self.query_env.addIndex(self.path_to_idx)
  
  
      # creates a list of all the passages returned by all the queries generated by
      # the query-processing module
      def retrieve_passages(self, queries):
          passages = []
          for query in queries:
              query = " ".join(query)
              sys.stderr.write(query)
              # second argument is the number of documents desired
              docs = self.query_env.runQuery("#combine[passage50:25](" + query + ")", 20)
              for doc in docs:
                  doc_num = doc.document
                  begin = doc.begin
                  end = doc.end
                  doc_id = self.query_env.documents([doc_num])[0].metadata['docno'] # need this for output
                  passage = Passage(self.index.document(doc_num, True)[begin:end], doc.score, doc_id)
                  passages.append(passage)
  
          return passages
  
  
  
subject: Add debugging statement to retrieve_passages function