code: def test_n_samples_leaves_roots(global_random_seed, global_dtype):
      # Sanity check for the number of samples in leaves and roots
      X, y = make_blobs(n_samples=10, random_state=global_random_seed)
      X = X.astype(global_dtype, copy=False)
      brc = Birch()
      brc.fit(X)
      n_samples_root = sum(
          [sc.n_samples_ for sc in brc.root_.subclusters_]
      )
      n_samples_leaves = sum(
          [
              sc.n_samples_
              for leaf in brc._get_leaves()
              for sc in leaf.subclusters_
          ]
      )
      assert n_samples_leaves == X.shape[0]
      assert n_samples_root == X.shape[0]
  
imports: import numpy
  import pytest
  from sklearn.cluster import AgglomerativeClustering, Birch
  from sklearn.cluster.tests.common import generate_clustered_data
  from sklearn.datasets import make_blobs
  from sklearn.exceptions import ConvergenceWarning
  from sklearn.metrics import pairwise_distances_argmin, v_measure_score
  from sklearn.utils._testing import assert_allclose, assert_array_equal
  from sklearn.utils.fixes import CSR_CONTAINERS
label_desc: Use image node_id 1 for calling a global function with example usage: test_n_samples_leaves_roots(global_random_seed, global_dtype) without return types