forked from UNN/2026-rff_mp
51 lines
1.9 KiB
Python
51 lines
1.9 KiB
Python
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from config import N, REPEATS, HASH_TABLE_SIZE
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from generator import generate_test_data, get_names_for_operations
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from experiment import run_single_experiment
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from rezults import save_to_csv, plot_results, print_analysis, save_report_md
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def main():
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print(f"Количество записей: {N}")
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print(f"Количество повторов: {REPEATS}")
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print(f"Размер хеш-таблицы: {HASH_TABLE_SIZE}")
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print()
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records, records_shuffled, records_sorted = generate_test_data(N)
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names_to_find, names_to_delete = get_names_for_operations(records)
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experiments = [
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('linkedlist', 'случайный', records_shuffled),
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('linkedlist', 'отсортированный', records_sorted),
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('hashtable', 'случайный', records_shuffled),
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('hashtable', 'отсортированный', records_sorted),
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('bst', 'случайный', records_shuffled),
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('bst', 'отсортированный', records_sorted),
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]
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results = []
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for struct_type, mode, data_records in experiments:
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print(f"Тестирование: {struct_type} - {mode}")
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params = {'size': HASH_TABLE_SIZE} if struct_type == 'hashtable' else None
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result = run_single_experiment(
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struct_type, mode, data_records,
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names_to_find, names_to_delete,
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REPEATS, params
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)
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results.append(result)
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print(f" Insert: {result['insert_mean']:.4f} ± {result['insert_std']:.4f} sec")
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print(f" Find: {result['find_mean']:.4f} ± {result['find_std']:.4f} sec")
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print(f" Delete: {result['delete_mean']:.4f} ± {result['delete_std']:.4f} sec")
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print()
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save_to_csv(results)
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plot_results(results)
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save_report_md(results)
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print_analysis(results)
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if __name__ == "__main__":
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main()
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