code: def __is_same_length(self, sequences: Sequence[Sequence]) -> bool:
      length = self.__get_user_data_count(sequences)
      if length is not None:
          for sequence in sequences:
              if sequence is not None and len(sequence) != length:
                  return False
      return True
  
imports: from bias_detector.BiasMetric import BiasMetric
  from bias_detector.BiasReport import BiasReport
  from bias_detector.models.FirstNameModel import FirstNameModel
  from bias_detector.models.FirstNameZipcodeModel import FirstNameZipcodeModel
  from bias_detector.models.FullNameModel import FullNameModel
  from bias_detector.models.FullNameZipcodeModel import FullNameZipcodeModel
  from bias_detector.bias_metrics.BiasMetricImpl import BiasMetricImpl
  from bias_detector.bias_metrics.BiasMetricInput import BiasMetricInput
  from bias_detector.bias_metrics.FprDiff import FprDiff
  from bias_detector.bias_metrics.PositivePredProbDiff import PositivePredProbDiff
  from bias_detector.bias_metrics.TprDiff import TprDiff
  from bias_detector.common import *
  import surgeo
label_desc: Use image node_id 8 for calling the BiasDetector obj's underlying member method code with example usage: obj.__is_same_length(sequences) and returns: True, False