code: def test_isomap_raise_error_when_neighbor_and_radius_both_set():
      # Isomap.fit_transform must raise a ValueError if
      # radius and n_neighbors are provided.
  
      X, _ = datasets.load_digits(return_X_y=True)
      isomap = manifold.Isomap(n_neighbors=3, radius=5.5)
      msg = "Both n_neighbors and radius are provided"
      with pytest.raises(ValueError, match=msg):
          isomap.fit_transform(X)
  
imports: import math
  from itertools import product
  import numpy
  import pytest
  from scipy.sparse import rand
  from sklearn import clone, datasets, manifold, neighbors, pipeline, preprocessing
  from sklearn.datasets import make_blobs
  from sklearn.metrics.pairwise import pairwise_distances
  from sklearn.utils._testing import assert_allclose, assert_allclose_dense_sparse, assert_array_equal
  from sklearn.utils.fixes import CSR_CONTAINERS
label_desc: Use image node_id 13 for calling a global function with example usage: test_isomap_raise_error_when_neighbor_and_radius_both_set() without return types