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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def plot_hurst_hist():
 """ Plots a histogram of values obtained for the hurst exponent of uniformly distributed white noise. This function requires the package ``matplotlib``. """

  # local import to avoid dependency for non-debug use
  import matplotlib.pyplot as plt
  hs = [nolds.hurst_rs(np.random.random(size=10000), corrected=True) for _ in range(100)]
  plt.hist(hs, bins=20)
  plt.xlabel("esimated value of hurst exponent")
  plt.ylabel("number of experiments")
  plt.show()