[WARNING] [MainThread] [10:26:52] [engine.py:582] Traceback (most recent call last):


 "/Users/litiezhu/Cobra-W/cobra/engine.py", line 560, in scan

result = scan_parser(code_contents, rule_match, self.line_number, self.file_path)


 "/Users/litiezhu/Cobra-W/cobra/parser.py", line 778, in scan_parser

analysis(all_nodes, func, back_node, int(vul_lineno), file_path, function_params=None)


 "/Users/litiezhu/Cobra-W/cobra/parser.py", line 756, in analysis

analysis(node.nodes, vul_function, back_node, vul_lineo, function_params)


 "/Users/litiezhu/Cobra-W/cobra/parser.py", line 753, in analysis

analysis(node.nodes, vul_function, function_body, vul_lineo, function_params=function_params, file_path=file_path)


 "/Users/litiezhu/Cobra-W/cobra/parser.py", line 744, in analysis

analysis_if_else(node, back_node, vul_function, vul_lineo, function_params, file_path=file_path)


 "/Users/litiezhu/Cobra-W/cobra/parser.py", line 564, in analysis_if_else

analysis(node.else_.node.nodes, vul_function, back_node, vul_lineno, function_params, file_path=file_path)
TypeError: analysis() got multiple values for keyword argument 'file_path'

Traceback (most recent call last):


 "train.py", line 696, in <module>

main(**kwargs)


 "train.py", line 632, in main

t.pretrain_generator()


 "train.py", line 337, in pretrain_generator

generator = Generator(base_filters=2 if self.debug else 64, light=self.light)


 "/Users/user/Projekte/1-NODEJS/image-ai/CartoonGan-tensorflow/generator.py", line 29, in __init__

pad_type=pad_type)


 "/Users/user/Projekte/1-NODEJS/image-ai/CartoonGan-tensorflow/layers.py", line 66, in __init__

self.model.add(get_norm(norm_type))


 "/usr/local/lib/python3.6/site-packages/tensorflow_core/python/training/tracking/base.py", line 457, in _method_wrapper

result = method(self, *args, **kwargs)


 "/usr/local/lib/python3.6/site-packages/tensorflow_core/python/keras/engine/sequential.py", line 158, in add

'Found: ' + str(layer))
TypeError: The added layer must be an instance of class Layer. Found: <keras_contrib.layers.normalization.instancenormalization.InstanceNormalization object at 0x10e6e6278>
