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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 _generate_examples(self, filepath):
 """Generates examples for the dSprites data set. Args: filepath: path to the dSprites hdf5 file. Yields: Dictionaries with images, latent classes, and latent values. """

    # Simultaneously iterating through the different data sets in the hdf5
    # file is >100x slower and the data set is small (26.7MB). Hence, we first
    # load everything into memory before yielding the samples.
    image_array, class_array, values_array = _load_data(filepath)
    for image, classes, values in moves.zip(image_array, class_array,
                                            values_array):
      yield dict(
          image=np.expand_dims(image, -1),
          label_shape=classes[1],
          label_scale=classes[2],
          label_orientation=classes[3],
          label_x_position=classes[4],
          label_y_position=classes[5],
          value_shape=values[1],
          value_scale=values[2],
          value_orientation=values[3],
          value_x_position=values[4],
          value_y_position=values[5])