code: def embeddings(self, lab):
      np.random.seed(SEED)
      embeddings_array = 0.5 + 0.1 * np.random.rand(
          lab.get_info("statistics")["num_examples"], 2
      )
      embeddings_array[4, :] = (
          embeddings_array[3, :]
          + np.random.rand(embeddings_array.shape[1]) * 0.001
      )
      return {"embedding": embeddings_array}
  
imports: import numpy
  import pytest
  from hypothesis import HealthCheck, assume, given, settings, strategies
  from hypothesis.strategies import composite
  from hypothesis.extra.numpy import arrays
  from cleanlab import Datalab
  from cleanlab.datalab.internal.issue_manager.duplicate import NearDuplicateIssueManager
  from .conftest import knn_graph_strategy
label_desc: Use image node_id 1 for calling the TestNearDuplicateIssueManager obj's underlying member method code with example usage: obj.embeddings(lab) and returns: dict