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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, filepaths):
 """Generate CIFAR examples as dicts. Shared across CIFAR-{10, 100}. Uses self._cifar_info as configuration. Args: filepaths (list[str]):
 The files to use to generate the data. Yields: The cifar examples, as defined in the dataset info features. """

    label_keys = self._cifar_info.label_keys
    for path in filepaths:
      for labels, np_image in _load_data(path, len(label_keys)):
        row = dict(zip(label_keys, labels))
        row["image"] = np_image
        yield row