content: # Copyright 2018 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.
  # ==============================================================================
  """Converts values pulled from the microcontroller into audio files."""
  
  from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  
  import struct
  # import matplotlib.pyplot as plt
  import numpy as np
  import soundfile as sf
  
  
  def new_data_to_array(fn):
    vals = []
    with open(fn) as f:
      for n, line in enumerate(f):
        if n != 0:
          vals.extend([int(v, 16) for v in line.split()])
    b = ''.join(map(chr, vals))
    y = struct.unpack('<' + 'h' * int(len(b) / 2), b)
  
    return y
  
  
  data = 'captured_data.txt'
  values = np.array(new_data_to_array(data)).astype(float)
  
  # plt.plot(values, 'o-')
  # plt.show(block=False)
  
  wav = values / np.max(np.abs(values))
  sf.write('captured_data.wav', wav, 16000)
  