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  1. A python implementation of the SP800-22 Rev 1a PRNG test suite. The NIST STS-2.1.2 implementation of the SP800-22 Rev1a tests has some problems. It tends to crash a lot and give the wrong result. This implementation provides a separate python file, one for each test and a program to read a binary data file and send it to each of the tests.

  2. SPy800-22 🎲. Random number testing with NIST SP800-22 in Python. Description. With this module you can: Easy test setup with Python script. Testing under the same conditions as sts-2.1.2 (NIST source code). Faster testing with multi-processing. Detailed test report output in CSV format. VS. sts-2.1.2. Comparison of features.

  3. sp800_22_tests. A python implementation of the SP800-22 Rev 1a PRNG test suite. The NIST STS-2.1.2 implementation of the SP800-22 Rev1a tests has some problems. It tends to crash a lot and give the wrong result.

  4. The NIST STS-2.1.2 implementation of the SP800-22 Rev1a tests has some problems. It tends to crash a lot and give the wrong result. This implementation provides a separate python file, one for each test and a program to read a binary data file and send it to each of the tests.

  5. The NIST STS-2.1.2 implementation of the SP800-22 Rev1a tests has some problems. It tends to crash a lot and give the wrong result. This implementation provides a separate python file, one for each test and a program to read a binary data file and send it to each of the tests.

  6. 27 kwi 2010 · NIST SP 800-22: Download Documentation and Software April 27, 2010: NIST SP 800-22rev1a (dated April 2010), A Statistical Test Suite for the Validation of Random Number Generators and Pseudo Random Number Generators for Cryptographic Applications, that describes the test suite.

  7. 20 gru 2000 · NIST Special Publication (SP) 800-22, A Statistical Test Suite for Random and Pseudorandom Number Generators for Cryptographic Applications, discusses the randomness testing of random number and pseudorandom number generators (RNGs and PRNGs) that may be used for many purposes including cryptographic, modeling and simulation applications.

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