code: def test_dask_kwargs(pd_dataframes, relationships, dask_cluster):
      cutoff_times_df = pd.DataFrame(
          {"instance_id": [1, 2, 3], "time": [10, 12, 15]}
      )
      feature_matrix, features = dfs(
          dataframes=pd_dataframes,
          relationships=relationships,
          target_dataframe_name="transactions",
          cutoff_time=cutoff_times_df,
      )
  
      dask_kwargs = {"cluster": dask_cluster.scheduler.address}
      feature_matrix_2, features_2 = dfs(
          dataframes=pd_dataframes,
          relationships=relationships,
          target_dataframe_name="transactions",
          cutoff_time=cutoff_times_df,
          dask_kwargs=dask_kwargs,
      )
  
      assert all(
          f1.unique_name() == f2.unique_name()
          for f1, f2 in zip(features, features_2)
      )
      for column in feature_matrix:
          for x, y in zip(
              feature_matrix[column], feature_matrix_2[column]
          ):
              assert (pd.isnull(x) and pd.isnull(y)) or (x == y)
  
imports: from unittest.mock import patch
  import composeml
  import numpy
  import pandas
  import pytest
  from packaging.version import parse
  from woodwork.column_schema import ColumnSchema
  from woodwork.logical_types import NaturalLanguage
  from featuretools.computational_backends.calculate_feature_matrix import FEATURE_CALCULATION_PERCENTAGE
  from featuretools.entityset import EntitySet, Timedelta
  from featuretools.exceptions import UnusedPrimitiveWarning
  from featuretools.primitives import GreaterThanScalar, Max, Mean, Min, Sum
  from featuretools.primitives.base import AggregationPrimitive, TransformPrimitive
  from featuretools.synthesis import dfs
  from featuretools.synthesis.deep_feature_synthesis import DeepFeatureSynthesis
  from featuretools.tests.testing_utils import to_pandas
  from featuretools.utils.gen_utils import Library, import_or_none, is_instance
label_desc: Use image node_id 27 for calling a global function with example usage: test_dask_kwargs(pd_dataframes, relationships, dask_cluster) without return types