6213 Шилина В.В. Лаб.2 Вар.21 #263
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lab_2/tests.py
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| for i in range(0, len(sequence), 8): | ||
| block = sequence[i:i + 8] |
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длина блока может быть и другой
посмотрите NIST 800-22
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| s_n = abs(sequence.count('1') - sequence.count('0')) / math.sqrt(len(sequence)) | ||
| p_value = math.erfc(s_n / math.sqrt(2)) |
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добавить обработку исключений
| return 0.0 | ||
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| v_n = sum(1 if sequence[i] != sequence[i + 1] else 0 for i in range(n - 1)) | ||
| p_value = math.erfc(abs(v_n - 2 * n * zeta * (1 - zeta)) / (2 * math.sqrt(2 * n) * zeta * (1 - zeta))) |
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добавить обработку исключений
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В лабораторной работе были сгенерированы случайные бинарные последовательности на языках C++ и Java, после чего на Python были проведены с этими последовательностями 3 теста NIST. В файле random.cpp находится генератор случайных последовательностей на языке C++, а в RandomGenerator.java на языке Java. Результаты сгенерированных последовательностей находятся в файлах sequence_сpp.txt и sequence_java.txt. В
tests.pyреализованы тесты NIST для определения меры случайности полученных последовательностей.Результаты тестов находятся в файле results.json. Так как у каждого теста результаты P-value > 0.01, то обе последовательности можно считать случайными.