old_contents: from pygraphc.preprocess.PreprocessLog import PreprocessLog
  from pygraphc.similarity.StringSimilarity import StringSimilarity
  from itertools import combinations
  
  
  class LogTextSimilarity(object):
      """A class for calculating cosine similarity between a log pair. This class is intended for
         non-graph based clustering method.
      """
      def __init__(self, logtype, logfile):
          """The constructor of class LogTextSimilarity.
  
          Parameters
          ----------
          logtype : str
              Type for event log, e.g., auth, syslog, etc.
          logfile : str
              Log filename.
          """
          self.logtype = logtype
          self.logfile = logfile
  
      def get_cosine_similarity(self):
          """Get cosine similarity from a pair of log lines in a file.
  
          Returns
          -------
          cosine_similarity   : dict
              Dictionary of cosine similarity in non-graph clustering. Key: (log_id1, log_id2),
              value: cosine similarity distance.
          """
          preprocess = PreprocessLog(self.logtype, self.logfile)
          preprocess.preprocess_text()
          events = preprocess.events_text
  
          # calculate cosine similarity
          cosines_similarity = {}
          for log_pair in combinations(preprocess.loglength, 2):
              cosines_similarity[log_pair] = StringSimilarity.get_cosine_similarity(events[log_pair[0]]['tf-idf'],
                                                                                    events[log_pair[1]]['tf-idf'],
                                                                                    events[log_pair[0]]['length'],
                                                                                    events[log_pair[1]]['length'])
          return cosines_similarity
  
new_contents: from pygraphc.preprocess.PreprocessLog import PreprocessLog
  from pygraphc.similarity.StringSimilarity import StringSimilarity
  from itertools import combinations
  
  
  class LogTextSimilarity(object):
      """A class for calculating cosine similarity between a log pair. This class is intended for
         non-graph based clustering method.
      """
      def __init__(self, logtype, logs):
          """The constructor of class LogTextSimilarity.
  
          Parameters
          ----------
          logtype : str
              Type for event log, e.g., auth, syslog, etc.
          logs    : list
              List of every line of original logs.
          """
          self.logtype = logtype
          self.logs = logs
  
      def get_cosine_similarity(self):
          """Get cosine similarity from a pair of log lines in a file.
  
          Returns
          -------
          cosine_similarity   : dict
              Dictionary of cosine similarity in non-graph clustering. Key: (log_id1, log_id2),
              value: cosine similarity distance.
          """
          preprocess = PreprocessLog(self.logtype)
          preprocess.preprocess_text(self.logs)
          events = preprocess.events_text
  
          # calculate cosine similarity
          cosines_similarity = {}
          for log_pair in combinations(range(preprocess.loglength), 2):
              cosines_similarity[log_pair] = StringSimilarity.get_cosine_similarity(events[log_pair[0]]['tf-idf'],
                                                                                    events[log_pair[1]]['tf-idf'],
                                                                                    events[log_pair[0]]['length'],
                                                                                    events[log_pair[1]]['length'])
          return cosines_similarity
  
subject: Change input from previous processing not from a file