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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 lookup(img, **kwargs):
 """Assign values to channels based on a table."""

    luts = np.array(kwargs['luts'], dtype=np.float32) / 255.0

    def func(band_data, luts=luts, index=-1):
        # NaN/null values will become 0
        lut = luts[:, index] if len(luts.shape) == 2 else luts
        band_data = band_data.clip(0, lut.size - 1).astype(np.uint8)

        new_delay = dask.delayed(_lookup_delayed)(lut, band_data)
        new_data = da.from_delayed(new_delay, shape=band_data.shape,
                                   dtype=luts.dtype)
        return new_data

    return apply_enhancement(img.data, func, separate=True, pass_dask=True)