code: def get_feature_type(
      dtype: np.dtype,
  ) -> Optional[types.FeatureNameStatisticsType]:
      """Get feature type from numpy dtype.
  
      Args:
        dtype: Numpy dtype.
  
      Returns:
        A statistics_pb2.FeatureNameStatistics.Type value.
      """
      return _NP_DTYPE_KIND_TO_FEATURE_TYPE.get(dtype.kind)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import logging
  from typing import Dict, Iterable, Optional, Sequence, Text, Tuple, Union
  import numpy
  import pyarrow
  import tensorflow
  from tensorflow_data_validation import constants
  from tensorflow_data_validation import types
  from tensorflow_data_validation.arrow import arrow_util
  from tensorflow_data_validation.utils import artifacts_io_impl
  from tensorflow_data_validation.utils import io_util
  from tfx_bsl import statistics
  from tfx_bsl.arrow import array_util
  from google.protobuf import text_format
  from tensorflow_metadata.proto.v0 import statistics_pb2
label_desc: Use image node_id 2 for calling a global function with example usage: get_feature_type(dtype) and returns: _NP_DTYPE_KIND_TO_FEATURE_TYPE