code: def test_segmentation_pipeline(self):
      class DrawSquare:
          def __init__(self, side):
              self.side = side
  
          def __call__(self, x, **kwargs):
              x, canvas = x  # x is a [int, ndarray]
              canvas[: self.side, : self.side] = x
              return canvas
  
      target_trans = BaaLCompose(
          [
              GetCanvas(),
              DrawSquare(3),
              ToPILImage(mode=None),
              Resize(60, interpolation=0),
              RandomRotation(10, fill=0.0),
              PILToLongTensor(),
          ]
      )
      file_dataset = FileDataset(
          self.paths,
          [1] * len(self.paths),
          self.transform,
          target_trans,
      )
  
      x, y = file_dataset[0]
      assert np.allclose(np.unique(y), [0, 1])
      assert y.shape[1:] == x.shape[1:]
  
imports: import os
  import time
  import random
  import tempfile
  import unittest
  import numpy
  import pytest
  import torch
  from PIL import Image
  from PIL.Image import NEAREST
  from torch.utils.data import DataLoader
  from torchvision.transforms import Resize, RandomRotation, Compose, ToTensor, ToPILImage
  from baal.active import ActiveLearningDataset
  from baal.active.file_dataset import FileDataset, default_image_load_fn
  from baal.utils.transforms import BaaLCompose, GetCanvas, PILToLongTensor
label_desc: Use image node_id 8 for calling the FileDatasetTest obj's underlying member method code with example usage: obj.test_segmentation_pipeline() and returns: canvas