def test_node_should_be_modified():
modifier = training_params.TrainPrefixRemover()
for estimator in _estimators():
for param in PARAMS_WITH_VALUES:
call = ast_call("{}({})".format(estimator, param))
assert modifier.node_should_be_modified(call)
def test_modify_node():
modifier = training_params.TrainPrefixRemover()
for params in _parameter_combinations():
node = ast_call("Estimator({})".format(params))
modifier.modify_node(node)
expected = "Estimator({})".format(params).replace("train_", "")
assert expected == pasta.dump(node)
def test_node_should_be_modified_random_function_call():
modifier = training_params.TrainPrefixRemover()
assert not modifier.node_should_be_modified(ast_call("Session()"))
def test_node_should_be_modified_no_params():
modifier = training_params.TrainPrefixRemover()
for estimator in _estimators():
call = ast_call("{}()".format(estimator))
assert not modifier.node_should_be_modified(call)
