* Add bidirectional search algorithm implementation
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* Add doctest for main function
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- Utilized `lanczos_iteration` to construct tridiagonal matrices, optimized for large, sparse matrices.
- Added `multiply_matrix_vector` for efficient matrix-vector multiplication using adjacency lists.
- Included `validate_adjacency_list` for input validation.
- Supports varied graph analysis applications, particularly for analyzing graph centrality.
- Included type hints, comprehensive docstrings, and doctests.
- PEP-8 compliant, with optimized handling of inputs and outputs.
This module provides essential tools for eigenvalue-based graph analysis, ideal for centrality insights and structural assessments.
* #9943 : Adding coverage test for basic_graphs.py
* #9943 : Adding coverage test for basic_graphs.py
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* Solve problem of line too long
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* Improve comments, add doctests for kahns_algorithm_topo.py
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* add ant_colonyant_colony_optimization_algorithms.py
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* sync
* fixes#8098
* deleted: graphs/check_bipartite_graph_all.py
new file: graphs/check_bipatrite,py
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* [ADD] tests for check_bipartite_graph_bfs
* linter fix?
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* test: adding more tests to a star algorithm
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* Added algorithm to deeply clone a graph
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* Let's use self-documenting variable names
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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
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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
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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
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* Improved Graph Implementations
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* Refactored code to separate files and applied enumerate()
* Renamed files and refactored code to fail fast
* Error handling style fix
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* 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
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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`.
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> 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…
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* Added Bi-Directional Dijkstra
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