code: def __init__(self, anchors, positives, labels):
      self.anchors = anchors
      self.positives = positives
      self.labels = labels
  
file_path: pytorch-metric-learning/tests/testers/test_global_two_stream_embedding_space_tester.py
imports: import unittest
  import numpy
  import torch
  from pytorch_metric_learning.testers import GlobalTwoStreamEmbeddingSpaceTester
  from pytorch_metric_learning.utils import accuracy_calculator
  from ..zzz_testing_utils.testing_utils import angle_to_coord
label_desc: Use image node_id 1 to create a new FakeDataset object from inherited base classes: torch.utils.data with example: obj = FakeDataset(anchors, positives, labels)