code: def test_base_optimizer():
      for lr in [10**i for i in range(-3, 4)]:
          optimizer = BaseOptimizer(lr)
          assert optimizer.trigger_stopping("", False)
  
file_path: scikit-learn/sklearn/neural_network/tests/test_stochastic_optimizers.py
imports: import numpy
  from sklearn.neural_network._stochastic_optimizers import AdamOptimizer, BaseOptimizer, SGDOptimizer
  from sklearn.utils._testing import assert_array_equal
label_desc: Use image node_id 1 for calling a global function with example usage: test_base_optimizer() without return types