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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 loadNumpyImages(self, path, key=None):
 """ Loads images using numpy. :param path: (string) Path to data file :param key: (string) Object key in data file if it's a dict Also stores image dimensions to later the original images. If there are multiple channels, self.numChannels will store the number of channels, otherwise it will be set to None. """

    data = np.load(path)

    if isinstance(data, dict):
      if key is None:
        raise ValueError("Images are stored as a dict, a key must be provided!")
      try:
        data = data[key]
      except KeyError:
        raise KeyError("Wrong key for provided data.")

    if not isinstance(data, np.ndarray):
      raise TypeError("Data must be stored as a dict or numpy array.")

    self._initializeDimensions(data)

    return data