889cde4a62dbcedbb5856ed3b295b742031074ac,io/eolearn/io/processing_api.py,Sentinelhub16bitInput,execute,#Sentinelhub16bitInput#Any#,73

Before Change

        images = sorted(images, key=lambda x: x[0])
        dates = [date for date, img in images]

        norm_factor = [img[1][1] for img in images]
        arrays = [img[1][0] for img in images]

        if eopatch is None:
            eopatch = EOPatch()

        eopatch.timestamp = dates
        eopatch[(FeatureType.DATA, self.feature_name)] = np.asarray(arrays)
        eopatch[(FeatureType.SCALAR, "norm_factor")] = np.asarray(norm_factor)[:,np.newaxis]

        return eopatch

After Change

        sorted_dates = sorted(dates)

        separate_dates = [sorted_dates[0]]
        for curr_date in sorted_dates[1:]:
            if curr_date - separate_dates[-1] > self.time_difference:
                separate_dates.append(curr_date)

        dates = separate_dates

        // iter_pairs = ((d1, d2) for d1, d2 in zip(sorted_dates[:-1], sorted_dates[1:]))

Instances