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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 random_square_mask(shape, fraction):
 """Create a numpy array with specified shape and masked fraction. Args: shape: tuple, shape of the mask to create. fraction: float, fraction of the mask area to populate with `mask_scalar`. Returns: numpy.array: A numpy array storing the mask. """


  mask = np.ones(shape)

  patch_area = shape[0]*shape[1]*fraction
  patch_dim = np.int(math.floor(math.sqrt(patch_area)))
  if patch_area == 0 or patch_dim == 0:
    return mask

  x = np.random.randint(shape[0] - patch_dim)
  y = np.random.randint(shape[1] - patch_dim)

  mask[x:(x + patch_dim), y:(y + patch_dim), :] = 0

  return mask