keras/src/layers/preprocessing/random_zoom.py/RandomZoom/__init__
class RandomZoom:    def __init__(
        self,
        height_factor,
        width_factor=None,
        fill_mode="reflect",
        interpolation="bilinear",
        seed=None,
        fill_value=0.0,
        data_format=None,
        **kwargs,
    ):
        super().__init__(**kwargs)
        self.height_factor = height_factor
        self.height_lower, self.height_upper = self._set_factor(
            height_factor, "height_factor"
        )
        self.width_factor = width_factor
        if width_factor is not None:
            self.width_lower, self.width_upper = self._set_factor(
                width_factor, "width_factor"
            )
        if fill_mode not in self._SUPPORTED_FILL_MODE:
            raise NotImplementedError(
                f"Unknown `fill_mode` {fill_mode}. Expected of one "
                f"{self._SUPPORTED_FILL_MODE}."
            )
        if interpolation not in self._SUPPORTED_INTERPOLATION:
            raise NotImplementedError(
                f"Unknown `interpolation` {interpolation}. Expected of one "
                f"{self._SUPPORTED_INTERPOLATION}."
            )

        self.fill_mode = fill_mode
        self.fill_value = fill_value
        self.interpolation = interpolation
        self.seed = seed
        self.generator = SeedGenerator(seed)
        self.data_format = backend.standardize_data_format(data_format)

        self.supports_jit = False