input: Write a python function to fit a DecisionTreeClassifier model using input data and test it with the provided examples.
  assert fit_decision_tree_model(data) is not None
output: def fit_decision_tree_model(data):
      from sklearn.tree import DecisionTreeClassifier
      from sklearn.model_selection import train_test_split
      from sklearn.metrics import accuracy_score
  
      X, y = data.data, data.target
      X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)
      
      clf = DecisionTreeClassifier(random_state=42)
      clf.fit(X_train, y_train)
      
      y_pred = clf.predict(X_test)
      accuracy = accuracy_score(y_test, y_pred)
      
      return clf