class_docstr: Instrument based filter and mapper provider.
code: def filter_frequencies(self, sample: Dict) -> Dict:
      return dict(
          sample,
          **{
              self._spectrogram_key: sample[self._spectrogram_key][
                  :, : self._parent._F, :
              ]
          },
      )
  
imports: import os
  import time
  from os.path import exists
  from os.path import sep
  from typing import Any, Dict, List, Optional, Tuple
  import tensorflow
  from .audio.adapter import AudioAdapter
  from .audio.convertor import db_uint_spectrogram_to_gain, spectrogram_to_db_uint
  from .audio.spectrogram import compute_spectrogram_tf, random_pitch_shift, random_time_stretch
  from .utils.logging import logger
  from .utils.tensor import check_tensor_shape, dataset_from_csv, set_tensor_shape, sync_apply
label_desc: Use image node_id 4 for calling the InstrumentDatasetBuilder obj's underlying member method code with example usage: obj.filter_frequencies(sample) and returns: dict