fe65da57a1f4e7a6ec365636a92ccca5cef6e80a,niftynet/io/image_sets_partitioner.py,ImageSetsPartitioner,to_string,#ImageSetsPartitioner#,321

Before Change

                "-- {} {}.\n".format(
                    VALID, self.number_of_subjects(VALID), self.ratios[0],
                    INFER, self.number_of_subjects(INFER), self.ratios[1],
                    TRAIN, self.number_of_subjects(TRAIN))
        else:
            summary_str += "-- using all subjects " \
                           "(without data partitioning).\n"

After Change

        if self._file_list is not None:
            summary_str += "input section names: {}\n".format(
                list(self._file_list))
        if self._partition_ids is not None and n_subjects > 0:
            n_valid = self.number_of_subjects(VALID)
            n_train = self.number_of_subjects(INFER)
            n_infer = self.number_of_subjects(TRAIN)
            summary_str += \
                "data partitioning -- number of cases:\n" \
                "-- {} {} ({:.2f}%),\n" \
                "-- {} {} ({:.2f}%),\n" \
                "-- {} {}.\n".format(
                    VALID, n_valid, float(n_valid) / float(n_subjects) * 100.0,
                    INFER, n_train, float(n_train) / float(n_subjects) * 100.0,
                    TRAIN, n_infer)
        else:
            summary_str += "-- using all subjects " \

Instances