* Improve comments, add doctests for kahns_algorithm_topo.py
* Improve function docstring
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* Rename variables, remove print
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* updating DIRECTORY.md
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* Enable ruff E741 rule
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* Enable ruff SIM102 rule
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* Fix
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* Enable ruff PLR5501 rule
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* ruff-format
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* add ant_colonyant_colony_optimization_algorithms.py
* Modify details
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* sync
* fixes#8098
* deleted: graphs/check_bipartite_graph_all.py
new file: graphs/check_bipatrite,py
* renamed: graphs/check_bipatrite,py -> graphs/check_bipatrite.py
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* [ADD] tests for check_bipartite_graph_bfs
* linter fix?
* linter fix
* [ADD] more test cases check_bipartite_graph_bfs
* doctest fixes. Forgot to add 'Traceback...'
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* missed a Traceback
* Update check_bipartite_graph_bfs.py
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* Adds Doc test in depth_first_search_2.py
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* test: adding more tests to a star algorithm
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* Added algorithm to deeply clone a graph
* Fixed file name and removed a function call
* Removed nested function and fixed class parameter types
* Fixed doctests
* bug fix
* Added class decorator
* Updated doctests and fixed precommit errors
* Cleaned up code
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* Code simplification
* Create dijkstra_algorithm.py
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* Update check_bipartite_graph_dfs.py
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* Let's use self-documenting variable names
This is complex code so let's use self-documenting function and variable names to help readers to understand.
We should not shorten names to simplify the code formatting but use understandable name and leave to code formatting to psf/black.
I am not sure if `nbor` was supposed to be `neighbour`. ;-)
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* fix: typo
#8770
* refactor: delete unnecessary continue
* add test grids
* fix: add \_\_eq\_\_ in Node class
#8770
* fix: delete unnecessary code
- node in self.open_nodes is always better node
#8770
* fix: docstring
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* Fix ruff errors
Renamed neural_network/input_data.py to neural_network/input_data.py_tf
because it should be left out of the directory for the following
reasons:
1. Its sole purpose is to be used by neural_network/gan.py_tf, which is
itself left out of the directory because of issues with TensorFlow.
2. It was taken directly from TensorFlow's codebase and is actually
already deprecated. If/when neural_network/gan.py_tf is eventually
re-added back to the directory, its implementation should be changed
to not use neural_network/input_data.py anyway.
* updating DIRECTORY.md
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* Improved Graph Implementations
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* Graph implementation style fixes, corrections, and refactored tests
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* Refactored code to separate files and applied enumerate()
* Renamed files and refactored code to fail fast
* Error handling style fix
* Fixed f-string code quality issue
* Last f-string fix
* Added return types to test functions and more style fixes
* Added more function return types
* Added more function return types pt2
* Fixed error messages
* Reduce the complexity of graphs/bi_directional_dijkstra.py
* Try to lower the --max-complexity threshold in the file .flake8
* Lower the --max-complexity threshold in the file .flake8
* updating DIRECTORY.md
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* Try to lower max-complexity
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* 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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