* pre-commit: Upgrade psf/black for stable style 2023
Updating https://github.com/psf/black ... updating 22.12.0 -> 23.1.0 for their `2023 stable style`.
* https://github.com/psf/black/blob/main/CHANGES.md#2310
> This is the first [psf/black] release of 2023, and following our stability policy, it comes with a number of improvements to our stable style…
Also, add https://github.com/tox-dev/pyproject-fmt and https://github.com/abravalheri/validate-pyproject to pre-commit.
I only modified `.pre-commit-config.yaml` and all other files were modified by pre-commit.ci and psf/black.
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* updating DIRECTORY.md
* Format local_weighted_learning.py doctests for clarity
* Refactor local_weighted_learning.py to use np.array instead of np.mat
The np.matrix class is planned to be eventually depreciated in favor of
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* Update local_weighted_learning.py documentation
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* Add autoclave cipher
* Update autoclave with the given suggestions
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* Fixing errors
* Another fixes
* Update and rename autoclave.py to autokey.py
* Rename gaussian_naive_bayes.py to gaussian_naive_bayes.py.broken.txt
* Rename gradient_boosting_regressor.py to gradient_boosting_regressor.py.broken.txt
* Rename random_forest_classifier.py to random_forest_classifier.py.broken.txt
* Rename random_forest_regressor.py to random_forest_regressor.py.broken.txt
* Rename equal_loudness_filter.py to equal_loudness_filter.py.broken.txt
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* refactor: Move pascals triange to maths/
* Update xgboost_classifier.py
* statsmodels is now compatible with Python 3.11
* statsmodels is now compatible with Python 3.11
* cython>=0.29.28
* cython>=0.29.28 # For statsmodels on Python 3.11
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* Added mean absolute error in linear regression
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* Code feedback changes
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* Update linear_regression.py
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* Added cosine similarity
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* Adopt Python >= 3.8 assignment expressions using auto-walrus
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* Fixes: #{6551}
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* Update xgboostclassifier.py
* Delete xgboostclassifier.py
* Update xgboostregressor.py
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* Update xgboostregressor.py
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* Update xgboostclassifier.py
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* Update xgboostclassifier.py
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* Update xgboostclassifier.py
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* Update gaussian_naive_bayes.py
Just adding in a final metric of accuracy to declare...
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* ci: Add ``flake8-pep3101`` plugin to ``pre-commit``
* refactor: Remove all modulo string formatting
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* refactor: Remove ``flake8-pep3101`` plugin from ``pre-commit``
* revert: Revert to modulo formatting
* refactor: Use f-string instead of `join`
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* added self organising maps algo
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* Update machine_learning/Self_Organising_Maps.py
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* initial commit
* first implementation of hard margin
* remove debugging print
* many commits squashed because pre-commit was buggy
* more kernels and improved kernel management
* remove unnecessary code + fix names + formatting + doctests
* rename to fit initial naming
* better naming and documentation
* better naming and documentation
* MAINT: Used f-string method
Updated the code with f-string methods wherever required for a better and cleaner understanding of the code.
* Updated files with f-string method
* Update rsa_key_generator.py
* Update rsa_key_generator.py
* Update elgamal_key_generator.py
* Update lru_cache.py
I don't think this change is efficient but it might tackle the error as the error was due to using long character lines.
* Update lru_cache.py
* Update lru_cache.py
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* The black formatter is no longer beta
* pre-commit autoupdate
* pre-commit autoupdate
* Remove project_euler/problem_145 which is killing our CI tests
* updating DIRECTORY.md
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* Updated name from lstm_prediction.py_lf to lstm_prediction.py and also imported keras
* Edited the changes
* tensorflow 2.5 is has shipped!!!
* Update lstm_prediction.py
* Update lstm_prediction.py
* One blank line, not two?
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* Add initial support for moving tests to GitHub
* Add setup Python step in the workflow
* Remove Travis CI config file
* Fix GitHub action file for build to trigger on PR
* Use Python 3.8 as tensorflow is not yet supported
* Fix ciphers.hill_cipher doctest error
* Fix: instagram crawler tests failing on GitHub actions
* Fix floating point errors in doctest
* Small change to test cache
* Apply suggestions from code review
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* Update instagram_crawler.py
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