class_docstr: A base class for reading data from disk.
class_docstr_tok: ["A","base","class","for","reading","data","from","disk","."]
docstr: Returns a dictionary {pitch value (int): count (int)}.
docstr_tok: ["Returns","a","dictionary","{","pitch","value","(","int",")",":","count","(","int",")","}","."]
code: def get_pitch_counts(self):
      """Returns a dictionary {pitch value (int): count (int)}."""
      raise NotImplementedError
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  from magenta.models.gansynth.lib import spectral_ops
  import numpy
  import tensorflow.compat.v1
  import tensorflow_datasets
label_desc: Use image node_id 4 for calling the BaseDataset obj's underlying member method code with example usage: obj.get_pitch_counts() without return types