code: def generate_text_secrets_and_references(
      secret_configs: Sequence[SecretConfig], seed: int = 0
  ) -> MutableSequence[SecretsSet]:
      """Generates a sequence of text secret sets given a sequence of configurations.
  
      Args:
        secret_configs: a sequence of text secret configurations.
        seed: random seed.
  
      Returns:
        A sequence of SecretsSet instances.
      """
      secrets_sets = []
      for i, secret_config in enumerate(secret_configs):
          n = secret_config.num_references + sum(
              secret_config.num_secrets_for_repetitions
          )
          seqs = generate_random_sequences(
              secret_config.properties.vocab,
              secret_config.properties.pattern,
              n,
              seed + i,
          )
          if len(seqs) < n:
              raise ValueError(
                  f"generate_random_sequences was not able to generate {n} sequences. Need to increase vocabulary."
              )
          secrets_sets.append(construct_secret(secret_config, seqs))
      return secrets_sets
  
file_path: privacy/tensorflow_privacy/privacy/privacy_tests/secret_sharer/generate_secrets.py
imports: import dataclasses
  import itertools
  import string
  from typing import Any, Dict, MutableSequence, Sequence
  import numpy
label_desc: Use image node_id 3 for calling a global function with example usage: generate_text_secrets_and_references(secret_configs, seed) and returns: secrets_sets