def vals_by_tool()

in ADBench/plot_graphs.py [0:0]

• 28 lines of code
• 12 McCabe index (conditional complexity)

def vals_by_tool(objective, graph_files, function_type, in_dir):
    '''Classifies file values by tools'''

    def div_lists(alist, blist):
        return [
            a / b
            if a != float("inf") and b != float("inf")
            else float("inf")
            for a,b in zip(alist,blist)
        ]

    manual_times = None

    for tool in tool_names(graph_files):
        (n_vals, t_objective_vals, t_jacobian_vals, violation) = read_vals(objective, graph_files, tool, in_dir)

        if manual_times is None and has_manual(tool):
            manual_times = t_objective_vals

        if function_type == 'objective':
            t_vals = t_objective_vals
        elif function_type == 'jacobian':
            t_vals = t_jacobian_vals
        elif function_type == 'objective ÷ Manual':
            if manual_times is None:
                print(f"Hmmm.  Don't have manual_times yet {tool}")
                raise Exception(f"Hmmm.  Don't have manual_times yet {tool}")
            t_vals = div_lists(t_objective_vals, manual_times)
        elif function_type == 'jacobian ÷ objective':
            t_vals = div_lists(t_jacobian_vals, t_objective_vals)
        else:
            raise Exception(f"Unknown function type {function_type}")

        yield (tool, n_vals, t_vals, violation)