fitbenchmarking.results_processing.runtime_table module¶
Runtime table
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class
fitbenchmarking.results_processing.runtime_table.
RuntimeTable
(results, best_results, options, group_dir, pp_locations, table_name)¶ Bases:
fitbenchmarking.results_processing.base_table.Table
The timing results are calculated from an average using the timeit module in python. The number of runtimes can be set in FitBenchmarking Options.
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get_values
(results_dict)¶ Gets the main values to be reported in the tables
Parameters: results_dict (dictionary) – dictionary containing results where the keys are the problem sets and the values are lists of results objects Returns: two dictionaries containing the absolute runtime and the normalised runtime with respect to the quickest time. Return type: tuple(dict, dict)
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