# Copyright 2022 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

"""Utility functions."""

import numpy as np


def generate_fake_input(batch_size=1, seq_len=5, vocab_size=10000, seed=0):
  """Generate consistent fake integer input sequences."""
  np.random.seed(seed)
  fake_input = []
  for _ in range(batch_size):
    fake_input.append([])
    for _ in range(seq_len):
      fake_input[-1].append(np.random.randint(0, vocab_size))
  fake_input = np.asarray(fake_input)
  return fake_input
