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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 execute(self, eopatch):
 """ Compute spatio-temporal features for input eopatch :param eopatch: Input eopatch :return: eopatch with computed spatio-temporal features """

        # pylint: disable=invalid-name
        amax_ndvi, amin_ndvi = eopatch.data_timeless[self.argmax_ndvi], eopatch.data_timeless[self.argmin_ndvi]
        amax_ndvi_slope, amin_ndvi_slope = eopatch.data_timeless[self.argmax_ndvi_slope], \
                                           eopatch.data_timeless[self.argmin_ndvi_slope]
        amax_red = eopatch.data_timeless[self.argmax_red]

        stf_idx = [amax_ndvi, amin_ndvi, amax_ndvi_slope, amin_ndvi_slope, amax_red]

        bands = eopatch.data[self.data_feature][..., self.indices]

        _, h, w, _ = bands.shape
        hh, ww = np.ogrid[:h, :w]
        stf = np.concatenate([bands[ii.squeeze(), hh, ww] for ii in stf_idx if ii is not None], axis=-1)

        eopatch.data_timeless[self.feats_feature] = stf

        return eopatch