code: def test_search_basic(xy_classification):
      X, y = xy_classification
      param_grid = {"class_weight": [None, "balanced"]}
  
      a = dms.GridSearchCV(SVC(kernel="rbf", gamma=0.1), param_grid)
      a.fit(X, y)
  
      param_dist = {"C": stats.uniform}
      b = dms.RandomizedSearchCV(
          SVC(kernel="rbf", gamma=0.1), param_dist
      )
      b.fit(X, y)
  
imports: import numpy
  import pandas
  from dask.distributed import Client
  from scipy import stats
  from sklearn.svm import SVC
  import dask_ml.model_selection
label_desc: Use image node_id 1 for calling a global function with example usage: test_search_basic(xy_classification) without return types