code: def test_density_graph_with_removed_microcluster():
      dbstream = build_dbstream(
          fading_factor=0.1, intersection_factor=0.3
      )
  
      add_cluster(
          dbstream,
          initial_point={1: 1, 2: 1},
          move_towards={1: 1.7, 2: 1.7},
          times=25,
      )
      add_cluster(
          dbstream,
          initial_point={1: 3, 2: 3},
          move_towards={1: 2.3, 2: 2.3},
          times=25,
      )
      # Points in the middle of first and second micro-clusters
      for _ in range(5):
          dbstream.learn_one({1: 2, 2: 2})
  
      add_cluster(
          dbstream,
          initial_point={1: 3.5, 2: 3.5},
          move_towards={1: 2.9, 2: 2.9},
          times=25,
      )
  
      # Points in the middle of second and third micro-clusters
      for _ in range(4):
          dbstream.learn_one({1: 2.6, 2: 2.6})
  
      assert len(dbstream._micro_clusters) == 2
      assert_micro_cluster_properties(
          dbstream.micro_clusters[0],
          center={1: 2.023498, 2: 2.023498},
          last_update=86,
      )
      assert_micro_cluster_properties(
          dbstream.micro_clusters[1],
          center={1: 2.766543, 2: 2.766543},
          last_update=86,
      )
  
      assert dbstream.s == {0: {1: 4.702391097045977}}
      assert dbstream.s_t == {0: {1: 86}}
  
      dbstream._recluster()
      assert len(dbstream.clusters) == 1
      assert_micro_cluster_properties(
          dbstream.clusters[0], center={1: 2.560647, 2: 2.560647}
      )
  
file_path: river/river/cluster/test_dbstream.py
imports: from __future__ import annotations
  import pytest
  from sklearn.datasets import make_blobs
  from river import metrics, stream, utils
  from river.cluster import DBSTREAM
label_desc: Use image node_id 7 for calling a global function with example usage: test_density_graph_with_removed_microcluster() without return types