* 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
* Change input_data.py_tf file extension
Change input_data.py_tf file extension because algorithms-keeper bot is being picky about it
---------
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* Improved Graph Implementations
Provides new implementation for graph_list.py and graph_matrix.py along with pytest suites for each. Fixes#8709
* Graph implementation style fixes, corrections, and refactored tests
* Helpful docs about graph implementation
* 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
* updating DIRECTORY.md
* Try to lower max-complexity
* Try to lower max-complexity
* 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.
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Added Bi-Directional Dijkstra
* Added Bi-Directional Dijkstra
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Added doctest and type hints
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Rename Bi_directional_Dijkstra.py to bi_directional_dijkstra.py
* Update bi_directional_dijkstra.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Update bi_directional_dijkstra.py
* Update bi_directional_dijkstra.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Update bi_directional_dijkstra.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Update bi_directional_dijkstra.py
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* Update bi_directional_dijkstra.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Update bi_directional_dijkstra.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Update bi_directional_dijkstra.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Update bi_directional_dijkstra.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Update bi_directional_dijkstra.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Update bi_directional_dijkstra.py
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* Cleanup the BFS
* Add both functions and timeit
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Add performace results as comment
* Update breadth_first_search_2.py
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* Update dijkstra.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* Update dijkstra.py
* Update graphs/dijkstra.py
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* Update graphs/dijkstra.py
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* Update graphs/dijkstra.py
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* Update dijkstra.py
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* Update dijkstra.py
* Apply suggestions from code review
* Create dijkstra_alternate.py
* Update dijkstra.py
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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* int(1e7)
* Update dijkstra_alternate.py
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* sptset --> visited
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* ci: Add ``flake8-pep3101`` plugin to ``pre-commit``
* refactor: Remove all modulo string formatting
* [pre-commit.ci] auto fixes from pre-commit.com hooks
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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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* 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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* Type annotations for `breadth_first_search.py`
* Type annotations for `breadth_first_search_2.py`
* Remove from excluded in mypy.ini
* Add doctest.testmod()
* Type annotations for `graphs/check_cycle.py`
* Type annotations for `graphs/greedy_min_vertex_cover.py`
* Remove from excluded in mypy.ini
* Update queue implementation
Popping the first element of a list takes O(n) time.
Using a cyclic queue takes O(1) time.
* Add queue changes from extra files
* Update indentation
* Add empty line between imports
* Fix lines
* Apply suggestions from code review
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* added complete graph generator function
* added doctest, type hints, wikipedia explanation
* added return type hint for function complete_graph
* added descriptive name for the parameter: n
* random graph generator with doctest and type hints
* validated using pre-commit
* Delete complete_graph_generator.py
* fixed doctest
* updated following reviews
* simplified the code following reviews
* fixed doctest and solved consistency issues
* consistency fixes
* add check_cycle.py
* Update graphs/check_cycle.py
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* Update check_cycle.py
* Apply suggestions from code review
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* [mypy] fix type annotations for graphs/a_star.py #4052
* updating DIRECTORY.md
* Add from __future__ import anotations
* rename delta by DIRECTIONS
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* Rename delta by DIRECTIONS in all code
* Enclose script in __main__ code block
* Refactor DIRECTIONS with comments for readibility
* Delete heuristic example comment
* Do not print, return all values
* Fix multilines
* fix black
* Update a_star.py
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* matching algorithm for min vertex cover problem
* fixed hint on row 37
* changed variable names
* provided doctest for get_edges function
* Removed dict.keys() iteration
* Update matching_min_vertex_cover.py
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* added complete graph generator function
* added doctest, type hints, wikipedia explanation
* added return type hint for function complete_graph
* added descriptive name for the parameter: n
* random graph generator with doctest and type hints
* added Greedy min vertex algorithm
* pre-commit hook(s) made changes
* Delete complete_graph_generator.py
* Delete random_graph_generator.py
* fixed doctest
* updated commit following highligths
* fixed following pre-commit highlights
* modified variables names
* boruvka.py: A few simplifications and f-strings
Python f-strings simplify the code and [should speed up execution](https://www.scivision.dev/python-f-string-speed).
@srkchowdary2000 Your review, please.
* updating DIRECTORY.md
* fixup! Streamline the test
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* Added Borůvka's algorithm.
* Added Borůvka's algorithm, a graph algorithm that finds the minimum spanning tree.
* Added Borůvka's algorithm, a graph algorithm that finds the minimum spanning tree.
* Added Borůvka's algorithm, a graph algorithm that finds the minimum spanning tree.
* Added Borůvka's algorithm, a graph algorithm that finds the minimum spanning tree.
* Added Borůvka's algorithm, a graph algorithm that finds the minimum spanning tree. Solved Test Cases Errors.
* Added Borůvka's algorithm, a graph algorithm that finds the minimum spanning tree. Solved Test Cases Errors.
* Added Borůvka's algorithm, a graph algorithm that finds the minimum spanning tree. Solved Test Cases Errors.
* Added Borůvka's algorithm, a graph algorithm that finds the minimum spanning tree. Solved Test Cases Errors.
* Added Borůvka's algorithm, a graph algorithm that finds the minimum spanning tree. Solved Test Cases Errors.
* Added Borůvka's algorithm, a graph algorithm that finds the minimum spanning tree. Solved Test Cases Errors.
* Added Borůvka's algorithm, a graph algorithm that finds the minimum spanning tree. Solved Test Cases Errors.Removed WhiteSpaces.
* Added Borůvka's algorithm, a graph algorithm that finds the minimum spanning tree. Code Changes.
* Added Borůvka's algorithm, a graph algorithm that finds the minimum spanning tree. Code Changes.