original_docstring: 
          Input: s - tensor representing hidden state of task
          Description: generate unique hash of the supplied hidden state
          Output: integer representing unique hash of the supplied hidden state
          
docstring: tensor representing hidden state of task
  Description: generate unique hash of the supplied hidden state
  Output: integer representing unique hash of the supplied hidden state
docstring_tokens: tensor representing hidden state of task Description : generate unique hash of the supplied hidden state Output : integer representing unique hash of the supplied hidden state
code: def state_hash(self, s):
          """
          Input: s - tensor representing hidden state of task
          Description: generate unique hash of the supplied hidden state
          Output: integer representing unique hash of the supplied hidden state
          """
          #result = str(int(hashlib.md5(str(s).encode('utf-8')).hexdigest(), 16))
          result = hash(str(s))
          return result
code_tokens: def state_hash ( self , s ) : result = hash ( str ( s ) ) return result
short_docstring: Input: s - tensor representing hidden state of task
  Description: generate unique hash of the supplied hidden state
  Output: integer representing unique hash of the supplied hidden state
short_docstring_tokens: Input : s - tensor representing hidden state of task Description : generate unique hash of the supplied hidden state Output : integer representing unique hash of the supplied hidden state
comment: """
          Input: s - tensor representing hidden state of task
          Description: generate unique hash of the supplied hidden state
          Output: integer representing unique hash of the supplied hidden state
          """$SEP$#result = str(int(hashlib.md5(str(s).encode('utf-8')).hexdigest(), 16))