SYMBOL INDEX (37 symbols across 11 files)

FILE: dataspeech/cpu_enrichments/rate.py
  function rate_apply (line 5) | def rate_apply(batch, rank=None, audio_column_name="audio", text_column_...

FILE: dataspeech/gpu_enrichments/pitch.py
  function pitch_apply (line 23) | def pitch_apply(batch, rank=None, audio_column_name="audio", output_colu...

FILE: dataspeech/gpu_enrichments/snr_and_reverb.py
  function snr_apply (line 11) | def snr_apply(batch, rank=None, audio_column_name="audio", batch_size=32):

FILE: dataspeech/gpu_enrichments/squim.py
  function squim_apply (line 8) | def squim_apply(batch, rank=None, audio_column_name="audio"):

FILE: scripts/filter_audio_separation.py
  function wrap_audio (line 15) | def wrap_audio(audio, sr):
  function filter_stems (line 23) | def filter_stems(batch, rank=None):

FILE: scripts/metadata_to_text.py
  function visualize_bins_to_text (line 22) | def visualize_bins_to_text(values_1, values_2, name_1, name_2, text_bins...
  function bins_to_text (line 56) | def bins_to_text(dataset, text_bins, column_name, output_column_name, le...
  function speaker_level_relative_to_gender (line 102) | def speaker_level_relative_to_gender(dataset, text_bins, speaker_column_...

FILE: scripts/per_dataset_script/add_gender_to_MLS.py
  function map_gender (line 35) | def map_gender(speaker_ids):

FILE: scripts/per_dataset_script/add_gender_to_libritts_r.py
  function map_gender (line 31) | def map_gender(speaker_ids):

FILE: scripts/per_dataset_script/clean_libritts_r.py
  function filter_speakers (line 35) | def filter_speakers(speaker, speakers_to_remove):
  function filter_samples (line 53) | def filter_samples(id, samples_to_filter):

FILE: scripts/run_prompt_creation.py
  class ModelArguments (line 32) | class ModelArguments:
  class DataArguments (line 111) | class DataArguments:
    method __post_init__ (line 194) | def __post_init__(self):
  function get_quantization_config (line 199) | def get_quantization_config(model_args: ModelArguments) -> Union[BitsAnd...
  function get_current_device (line 221) | def get_current_device() -> int:
  function get_kbit_device_map (line 226) | def get_kbit_device_map() -> Union[Dict[str, int], None]:
  function save_checkpoint (line 235) | def save_checkpoint(output_dir, all_generated_ids, step):
  function load_checkpoint (line 243) | def load_checkpoint(checkpoint_path):
  function sorted_checkpoints (line 251) | def sorted_checkpoints(output_dir=None) -> List[str]:
  function rotate_checkpoints (line 267) | def rotate_checkpoints(save_total_limit=None, output_dir=None) -> None:
  function get_last_checkpoint (line 283) | def get_last_checkpoint(folder, return_list=False) -> Tuple[List, int]:
  class DataCollatorWithPadding (line 305) | class DataCollatorWithPadding:
    method __call__ (line 312) | def __call__(self, features: List[Dict[str, Union[List[int], torch.Ten...
  function main (line 414) | def main():

FILE: scripts/run_prompt_creation_llm_swarm.py
  class ModelArguments (line 28) | class ModelArguments:
  class DataArguments (line 94) | class DataArguments:
    method __post_init__ (line 180) | def __post_init__(self):
  function save_checkpoint (line 190) | def save_checkpoint(output_dir, all_generated_ids, step):
  function load_checkpoint (line 197) | def load_checkpoint(checkpoint_path):
  function sorted_checkpoints (line 203) | def sorted_checkpoints(output_dir=None) -> List[str]:
  function rotate_checkpoints (line 219) | def rotate_checkpoints(save_total_limit=None, output_dir=None) -> None:
  function get_last_checkpoint (line 235) | def get_last_checkpoint(folder) -> Tuple[List, int]:
  function process_text (line 408) | async def process_text(sample):
  function main (line 450) | async def main():