original_docstring: 
      Creates db rows using given session, with table name provided,
      using data formatted like:
  
      |colname1|colname2|
      +--------+--------+
      |value2  |value2  |
  
      format_funcs should be a dictionary of {columnname: function} if data needs to be formatted
      before being included in CQL.
  
      Returns a list of maps describing the data created.
      
docstring: Creates db rows using given session, with table name provided,
  using data formatted like.
  
  
  
  format_funcs should be a dictionary of {columnname: function} if data needs to be formatted
  before being included in CQL.
  
  Returns a list of maps describing the data created.
docstring_tokens: Creates db rows using given session with table name provided using data formatted like . format_funcs should be a dictionary of { columnname : function } if data needs to be formatted before being included in CQL . Returns a list of maps describing the data created .
code: def create_rows(data, session, table_name, cl=None, format_funcs=None, prefix='', postfix=''):
      """
      Creates db rows using given session, with table name provided,
      using data formatted like:
  
      |colname1|colname2|
      +--------+--------+
      |value2  |value2  |
  
      format_funcs should be a dictionary of {columnname: function} if data needs to be formatted
      before being included in CQL.
  
      Returns a list of maps describing the data created.
      """
      values = []
      dicts = parse_data_into_dicts(data, format_funcs=format_funcs)
  
      # use the first dictionary to build a prepared statement for all
      prepared = session.prepare(
          "{prefix} INSERT INTO {table} ({cols}) values ({vals}) {postfix}".format(
              prefix=prefix, table=table_name, cols=', '.join(dicts[0].keys()),
              vals=', '.join('?' for k in dicts[0].keys()), postfix=postfix)
      )
      if cl is not None:
          prepared.consistency_level = cl
  
      query_results = execute_concurrent_with_args(session, prepared, [d.values() for d in dicts])
  
      for i, (status, result_or_exc) in enumerate(query_results):
          # should maybe check status here before appening to expected values
          values.append(dicts[i])
  
      return values
code_tokens: def create_rows ( data , session , table_name , cl = None , format_funcs = None , prefix = '' , postfix = '' ) : values = [ ] dicts = parse_data_into_dicts ( data , format_funcs = format_funcs ) prepared = session . prepare ( "{prefix} INSERT INTO {table} ({cols}) values ({vals}) {postfix}" . format ( prefix = prefix , table = table_name , cols = ', ' . join ( dicts [ 0 ] . keys ( ) ) , vals = ', ' . join ( '?' for k in dicts [ 0 ] . keys ( ) ) , postfix = postfix ) ) if cl is not None : prepared . consistency_level = cl query_results = execute_concurrent_with_args ( session , prepared , [ d . values ( ) for d in dicts ] ) for i , ( status , result_or_exc ) in enumerate ( query_results ) : values . append ( dicts [ i ] ) return values
short_docstring: Creates db rows using given session, with table name provided,
  using data formatted like:
short_docstring_tokens: Creates db rows using given session with table name provided using data formatted like :
comment: """
      Creates db rows using given session, with table name provided,
      using data formatted like:
  
      |colname1|colname2|
      +--------+--------+
      |value2  |value2  |
  
      format_funcs should be a dictionary of {columnname: function} if data needs to be formatted
      before being included in CQL.
  
      Returns a list of maps describing the data created.
      """$SEP$# use the first dictionary to build a prepared statement for all$SEP$# should maybe check status here before appening to expected values