dbe043dfa9e4b9c6f16406d2842208f7c75d26a9,io/eolearn/io/processing_api.py,SentinelHubInputTask,_extract_data,#SentinelHubInputTask#Any#Any#Any#,283

Before Change

        

        images = ((img["default.tif"], img["userdata.json"]) for img in images)
        images = [(img, meta.get("norm_factor", 0)) for img, meta in images]

        for f_type, f_name_src, f_name_dst in self.additional_data:
            eopatch[(f_type, f_name_dst)] = self._extract_additional_data(images, f_type, f_name_src, shape)

After Change

    def _extract_data(self, eopatch, images, shape):
         Extract data from the received images and assign them to eopatch features
        
        rtypes = [rtype for rtype in self.request_types if rtype.id != "bands"]
        itr_tifs = ((rtype, [img[rtype.id + ".tif"] for img in images], self.request_types[rtype]) for rtype in rtypes)

        for rtype, tifs, bands in itr_tifs:
            for band in bands:
                feature = rtype.feature_type, band
                eopatch[feature] = self._extract_array(tifs, bands.index(band), shape, rtype.np_dtype)

        if self.bands_feature:
            self._extract_bands_feature(eopatch, images, shape)

        return eopatch

Instances