code: def check_config_speaker_encoder(c):
      """Check the config.json file of the speaker encoder"""
      check_argument("run_name", c, restricted=True, val_type=str)
      check_argument("run_description", c, val_type=str)
  
      # audio processing parameters
      check_argument("audio", c, restricted=True, val_type=dict)
      check_argument(
          "num_mels",
          c["audio"],
          restricted=True,
          val_type=int,
          min_val=10,
          max_val=2056,
      )
      check_argument(
          "fft_size",
          c["audio"],
          restricted=True,
          val_type=int,
          min_val=128,
          max_val=4058,
      )
      check_argument(
          "sample_rate",
          c["audio"],
          restricted=True,
          val_type=int,
          min_val=512,
          max_val=100000,
      )
      check_argument(
          "frame_length_ms",
          c["audio"],
          restricted=True,
          val_type=float,
          min_val=10,
          max_val=1000,
          alternative="win_length",
      )
      check_argument(
          "frame_shift_ms",
          c["audio"],
          restricted=True,
          val_type=float,
          min_val=1,
          max_val=1000,
          alternative="hop_length",
      )
      check_argument(
          "preemphasis",
          c["audio"],
          restricted=True,
          val_type=float,
          min_val=0,
          max_val=1,
      )
      check_argument(
          "min_level_db",
          c["audio"],
          restricted=True,
          val_type=int,
          min_val=-1000,
          max_val=10,
      )
      check_argument(
          "ref_level_db",
          c["audio"],
          restricted=True,
          val_type=int,
          min_val=0,
          max_val=1000,
      )
      check_argument(
          "power",
          c["audio"],
          restricted=True,
          val_type=float,
          min_val=1,
          max_val=5,
      )
      check_argument(
          "griffin_lim_iters",
          c["audio"],
          restricted=True,
          val_type=int,
          min_val=10,
          max_val=1000,
      )
  
      # training parameters
      check_argument(
          "loss",
          c,
          enum_list=["ge2e", "angleproto"],
          restricted=True,
          val_type=str,
      )
      check_argument("grad_clip", c, restricted=True, val_type=float)
      check_argument(
          "epochs", c, restricted=True, val_type=int, min_val=1
      )
      check_argument(
          "lr", c, restricted=True, val_type=float, min_val=0
      )
      check_argument("lr_decay", c, restricted=True, val_type=bool)
      check_argument(
          "warmup_steps", c, restricted=True, val_type=int, min_val=0
      )
      check_argument(
          "tb_model_param_stats", c, restricted=True, val_type=bool
      )
      check_argument(
          "num_speakers_in_batch", c, restricted=True, val_type=int
      )
      check_argument(
          "num_loader_workers", c, restricted=True, val_type=int
      )
      check_argument(
          "wd",
          c,
          restricted=True,
          val_type=float,
          min_val=0.0,
          max_val=1.0,
      )
  
      # checkpoint and output parameters
      check_argument(
          "steps_plot_stats", c, restricted=True, val_type=int
      )
      check_argument("checkpoint", c, restricted=True, val_type=bool)
      check_argument("save_step", c, restricted=True, val_type=int)
      check_argument("print_step", c, restricted=True, val_type=int)
      check_argument("output_path", c, restricted=True, val_type=str)
  
      # model parameters
      check_argument("model", c, restricted=True, val_type=dict)
      check_argument(
          "input_dim", c["model"], restricted=True, val_type=int
      )
      check_argument(
          "proj_dim", c["model"], restricted=True, val_type=int
      )
      check_argument(
          "lstm_dim", c["model"], restricted=True, val_type=int
      )
      check_argument(
          "num_lstm_layers", c["model"], restricted=True, val_type=int
      )
      check_argument(
          "use_lstm_with_projection",
          c["model"],
          restricted=True,
          val_type=bool,
      )
  
      # in-memory storage parameters
      check_argument("storage", c, restricted=True, val_type=dict)
      check_argument(
          "sample_from_storage_p",
          c["storage"],
          restricted=True,
          val_type=float,
          min_val=0.0,
          max_val=1.0,
      )
      check_argument(
          "storage_size",
          c["storage"],
          restricted=True,
          val_type=int,
          min_val=1,
          max_val=100,
      )
      check_argument(
          "additive_noise",
          c["storage"],
          restricted=True,
          val_type=float,
          min_val=0.0,
          max_val=1.0,
      )
  
      # datasets - checking only the first entry
      check_argument("datasets", c, restricted=True, val_type=list)
      for dataset_entry in c["datasets"]:
          check_argument(
              "name", dataset_entry, restricted=True, val_type=str
          )
          check_argument(
              "path", dataset_entry, restricted=True, val_type=str
          )
          check_argument(
              "meta_file_train",
              dataset_entry,
              restricted=True,
              val_type=[str, list],
          )
          check_argument(
              "meta_file_val",
              dataset_entry,
              restricted=True,
              val_type=str,
          )
  
file_path: TTS/TTS/speaker_encoder/utils/generic_utils.py
imports: import datetime
  import os
  import re
  import torch
  from TTS.speaker_encoder.model import SpeakerEncoder
  from TTS.utils.generic_utils import check_argument
label_desc: Use image node_id 5 for calling a global function with example usage: check_config_speaker_encoder(c) without return types