code: def test_dist_threshold_invalid_parameters():
      X = [[0], [1]]
      with pytest.raises(ValueError, match="Exactly one of "):
          AgglomerativeClustering(
              n_clusters=None, distance_threshold=None
          ).fit(X)
  
      with pytest.raises(ValueError, match="Exactly one of "):
          AgglomerativeClustering(
              n_clusters=2, distance_threshold=1
          ).fit(X)
  
      X = [[0], [1]]
      with pytest.raises(
          ValueError, match="compute_full_tree must be True if"
      ):
          AgglomerativeClustering(
              n_clusters=None,
              distance_threshold=1,
              compute_full_tree=False,
          ).fit(X)
  
imports: import itertools
  import shutil
  from functools import partial
  from tempfile import mkdtemp
  import numpy
  import pytest
  from scipy.cluster import hierarchy
  from scipy.sparse.csgraph import connected_components
  from sklearn.cluster import AgglomerativeClustering, FeatureAgglomeration, ward_tree
  from sklearn.cluster._agglomerative import _TREE_BUILDERS, _fix_connectivity, _hc_cut, linkage_tree
  from sklearn.cluster._hierarchical_fast import average_merge, max_merge, mst_linkage_core
  from sklearn.datasets import make_circles, make_moons
  from sklearn.feature_extraction.image import grid_to_graph
  from sklearn.metrics import DistanceMetric
  from sklearn.metrics.cluster import adjusted_rand_score, normalized_mutual_info_score
  from sklearn.metrics.pairwise import PAIRED_DISTANCES, cosine_distances, manhattan_distances, pairwise_distances
  from sklearn.metrics.tests.test_dist_metrics import METRICS_DEFAULT_PARAMS
  from sklearn.neighbors import kneighbors_graph
  from sklearn.utils._fast_dict import IntFloatDict
  from sklearn.utils._testing import assert_almost_equal, assert_array_almost_equal, assert_array_equal, create_memmap_backed_data, ignore_warnings
  from sklearn.utils.fixes import LIL_CONTAINERS
label_desc: Use image node_id 30 for calling a global function with example usage: test_dist_threshold_invalid_parameters() without return types