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Commit 7a2474c

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author
Maxim
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feat: tests and description updated
1 parent 958780e commit 7a2474c

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‎.gitignore‎

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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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instance/
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.webassets-cache
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# Scrapy stuff:
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# Sphinx documentation
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docs/_build/
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# Jupyter Notebook
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# IPython
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/#use-with-ide
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.pdm.toml
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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# mkdocs documentation
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# mypy
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dmypy.json
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# Pyre type checker
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# pytype static type analyzer
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# Cython debug symbols
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# PyCharm
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/

‎README.md‎

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Random result: 127160928
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Cracker result: 127160928
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```
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## Accuracy
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Cracker is not absolutely accurate. It is able to perform close to **100%** accurate on first **624** 32-bit generations, **~99.5%** on the first **1 000**, **~95%** on the first **10 000** and then figures drop to **~50%** accurate to generation **50 000**.

‎tests/test_randcrack.py‎

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for i in range(624):
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cracker.submit(random.randint(0, 4294967294))
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assert sum([random.getrandbits(32) == cracker.predict_getrandbits(32) for _ in range(1000)]) >=620
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assert sum([random.getrandbits(32) == cracker.predict_getrandbits(32) for _ in range(1000)]) ==1000
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def test_predict_first_1000_close():
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for i in range(624):
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cracker.submit(random.randint(0, 4294967294))
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assert sum([random.getrandbits(32) == cracker.predict_getrandbits(32) for _ in range(1000)]) >=980
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assert sum([random.getrandbits(32) == cracker.predict_getrandbits(32) for _ in range(1000)]) ==1000
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def test_predict_random():
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random.seed(time.time())
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for i in range(624):
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cracker.submit(random.randint(0, 4294967294))
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assert sum([random.random() == cracker.predict_random() for _ in range(1000)]) >=980
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assert sum([random.random() == cracker.predict_random() for _ in range(1000)]) ==1000

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