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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 _load_npy(self, filename):
 """ Load image using Numpy. """

        self._channel_data = []
        self._original_channel_data = []
        file_channel_data = np.load(filename)
        file_channel_data = file_channel_data / file_channel_data.max()

        for i in range(file_channel_data.shape[2]):
            self._channel_data.append(file_channel_data[:, :, i])
            self._original_channel_data.append(file_channel_data[:, :, i])

        self._image = file_channel_data.sum(2) / file_channel_data.shape[2]