feat: tests and description updated

Author: Maxim

.gitignore

@@ -0,0 +1,160 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
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+.scrapy
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+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
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+.spyderproject
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+
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+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
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+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
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+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

README.md

@@ -54,7 +54,3 @@ print("Random result: {}\nCracker result: {}"
 Random result: 127160928
 Cracker result: 127160928
 ```
-
-## Accuracy
-
-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

@@ -38,7 +38,7 @@ def test_predict_first_624():
     for i in range(624):
         cracker.submit(random.randint(0, 4294967294))
 
-    assert sum([random.getrandbits(32) == cracker.predict_getrandbits(32) for _ in range(1000)]) >= 620
+    assert sum([random.getrandbits(32) == cracker.predict_getrandbits(32) for _ in range(1000)]) == 1000
 
 
 def test_predict_first_1000_close():
@@ -49,7 +49,7 @@ def test_predict_first_1000_close():
     for i in range(624):
         cracker.submit(random.randint(0, 4294967294))
 
-    assert sum([random.getrandbits(32) == cracker.predict_getrandbits(32) for _ in range(1000)]) >= 980
+    assert sum([random.getrandbits(32) == cracker.predict_getrandbits(32) for _ in range(1000)]) == 1000
 
 def test_predict_random():
     random.seed(time.time())
@@ -58,4 +58,4 @@ def test_predict_random():
 
     for i in range(624):
         cracker.submit(random.randint(0, 4294967294))
-    assert sum([random.random() == cracker.predict_random() for _ in range(1000)]) >= 980
+    assert sum([random.random() == cracker.predict_random() for _ in range(1000)]) == 1000