import helper

def fool_classifier(test_data): ## Please do not change the function defination...
    ## Read the test data file, i.e., 'test_data.txt' from Present Working Directory...
    
    
    ## You are supposed to use pre-defined class: 'strategy()' in the file `helper.py` 
    #  for model training (if any), and modifications limit checking
    strategy_instance = helper.strategy() 
    parameters={'gamma': 'auto', 'C': 1.0, 'kernel': 'rbf', 'degree': 3, 'coef0': 0.0}
    
    ##..................................#
    #
    #
    #
    ## Your implementation goes here....#
    #
    #
    #
    ##..................................#
    
    
    ## Write out the modified file, i.e., 'modified_data.txt' in Present Working Directory...
    
    
    ## You can check that the modified text is within the modification limits.
    modified_data='./modified_data.txt'
    assert strategy_instance.check_data(test_data, modified_data)
    return strategy_instance ## NOTE: You are required to return the instance of this class.
