def get_test_images_paths(self, class_name) -> List[Path]:
        """
        Gets the test set image paths

        :param class_name: names of the classes of the images to be
            collected.
        :returns img_paths: list of strings (paths)
        """

        val_img_folder: Path = self.data_folder / "val" / "images"
        annotations_file: Path = self.data_folder / "val" / "val_annotations.txt"

        valid_names = []

        # filter validation images by class using appropriate file
        with open(str(annotations_file), "r") as f:
            reader = csv.reader(f, dialect="excel-tab")
            for ll in reader:
                if ll[1] == class_name:
                    valid_names.append(ll[0])

        img_paths = [val_img_folder / f for f in valid_names]

        return img_paths

        Gets the test set image paths

        :param class_name: names of the classes of the images to be
            collected.
        :returns img_paths: list of strings (paths)
        
avalanche/benchmarks/datasets/tiny_imagenet/tiny_imagenet.py