code: def test_pca_fit_transform_fp64(data_info, client):
      nrows, ncols, n_parts = data_info
  
      from cuml.dask.decomposition import TruncatedSVD as daskTPCA
      from cuml.dask.datasets import make_blobs
  
      X_cudf, _ = make_blobs(
          n_samples=nrows,
          n_features=ncols,
          centers=1,
          n_parts=n_parts,
          cluster_std=1.5,
          random_state=10,
          dtype=np.float64,
      )
  
      cutsvd = daskTPCA(n_components=30)
      cutsvd.fit_transform(X_cudf)
  
imports: from cuml.dask.common.dask_arr_utils import to_dask_cudf
  from cuml.internals.safe_imports import gpu_only_import
  from cuml.testing.utils import array_equal, unit_param, stress_param
  import pytest
  from cuml.internals.safe_imports import cpu_only_import
label_desc: Use image node_id 3 for calling a global function with example usage: test_pca_fit_transform_fp64(data_info, client) without return types