Implemented Suffix Tree Data Structure#11554
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cclauss merged 61 commits intoTheAlgorithms:masterfrom Sep 28, 2024
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…d_tree/hypercube_points.py
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…into feature/kd-tree-implementation # Conflicts: # data_structures/kd_tree/nearest_neighbour_search.py
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Co-authored-by: Christian Clauss <cclauss@me.com>
Co-authored-by: Christian Clauss <cclauss@me.com>
Co-authored-by: Christian Clauss <cclauss@me.com>
…dtree() to include various checks.
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…into feature/kd-tree-implementation # Conflicts: # data_structures/kd_tree/tests/test_kdtree.py
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…on' into feature/suffix-tree-implementation # Conflicts: # data_structures/suffix_tree/tests/test_suffix_tree.py
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Ramy-Badr-Ahmed
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imSanko
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Looks fine to me, wait for the merge!
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Added some comments to my files in TheAlgorithms#11532, TheAlgorithms#11554.
Added some comments to my files in TheAlgorithms#11532, TheAlgorithms#11554.
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cclauss
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* Implemented KD-Tree Data Structure * Implemented KD-Tree Data Structure. updated DIRECTORY.md. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Create __init__.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Replaced legacy `np.random.rand` call with `np.random.Generator` in kd_tree/example_usage.py * Replaced legacy `np.random.rand` call with `np.random.Generator` in kd_tree/hypercube_points.py * added typehints and docstrings * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * docstring for search() * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Added tests. Updated docstrings/typehints * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * updated tests and used | for type annotations * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * E501 for build_kdtree.py, hypercube_points.py, nearest_neighbour_search.py * I001 for example_usage.py and test_kdtree.py * I001 for example_usage.py and test_kdtree.py * Update data_structures/kd_tree/build_kdtree.py Co-authored-by: Christian Clauss <cclauss@me.com> * Update data_structures/kd_tree/example/hypercube_points.py Co-authored-by: Christian Clauss <cclauss@me.com> * Update data_structures/kd_tree/example/hypercube_points.py Co-authored-by: Christian Clauss <cclauss@me.com> * Added new test cases requested in Review. Refactored the test_build_kdtree() to include various checks. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Considered ruff errors * Considered ruff errors * Apply suggestions from code review * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update kd_node.py * imported annotations from __future__ * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Implementation of the suffix tree data structure * Adding data to DIRECTORY.md * Minor file renaming * minor correction * renaming in DIRECTORY.md * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Considering ruff part-1 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Considering ruff part-2 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Considering ruff part-3 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Considering ruff part-4 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Considering ruff part-5 * Implemented Suffix Tree Data Structure. Added some comments to my files in TheAlgorithms#11532, TheAlgorithms#11554. * updating DIRECTORY.md * Implemented Suffix Tree Data Structure. Added some comments to my files in TheAlgorithms#11532, TheAlgorithms#11554. --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Christian Clauss <cclauss@me.com> Co-authored-by: Ramy-Badr-Ahmed <Ramy-Badr-Ahmed@users.noreply.github.com>
cclauss
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* Implemented KD-Tree Data Structure * Implemented KD-Tree Data Structure. updated DIRECTORY.md. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Create __init__.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Replaced legacy `np.random.rand` call with `np.random.Generator` in kd_tree/example_usage.py * Replaced legacy `np.random.rand` call with `np.random.Generator` in kd_tree/hypercube_points.py * added typehints and docstrings * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * docstring for search() * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Added tests. Updated docstrings/typehints * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * updated tests and used | for type annotations * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * E501 for build_kdtree.py, hypercube_points.py, nearest_neighbour_search.py * I001 for example_usage.py and test_kdtree.py * I001 for example_usage.py and test_kdtree.py * Update data_structures/kd_tree/build_kdtree.py Co-authored-by: Christian Clauss <cclauss@me.com> * Update data_structures/kd_tree/example/hypercube_points.py Co-authored-by: Christian Clauss <cclauss@me.com> * Update data_structures/kd_tree/example/hypercube_points.py Co-authored-by: Christian Clauss <cclauss@me.com> * Added new test cases requested in Review. Refactored the test_build_kdtree() to include various checks. * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Considered ruff errors * Considered ruff errors * Apply suggestions from code review * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update kd_node.py * imported annotations from __future__ * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Implementation of the suffix tree data structure * Adding data to DIRECTORY.md * Minor file renaming * minor correction * renaming in DIRECTORY.md * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Considering ruff part-1 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Considering ruff part-2 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Considering ruff part-3 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Considering ruff part-4 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Considering ruff part-5 * Implemented Suffix Tree Data Structure. Added some comments to my files in TheAlgorithms#11532, TheAlgorithms#11554. * updating DIRECTORY.md * Implemented Suffix Tree Data Structure. Added some comments to my files in TheAlgorithms#11532, TheAlgorithms#11554. --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Christian Clauss <cclauss@me.com> Co-authored-by: Ramy-Badr-Ahmed <Ramy-Badr-Ahmed@users.noreply.github.com>
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Describe your change:
This pull request adds an implementation of the Suffix Tree data structure along with related functionalities, such as pattern searches.
Definition: The Suffix Tree is a compressed trie of all the suffixes of a given text used for for substring search and various other string-processing operations. (URL: Suffix Tree).
Implementation Details:
suffix_tree_node.py: Defines theSuffixTreeNodeclass, representing nodes in the suffix tree.build_suffix_tree.py: Builds a suffix tree from the given text and apply pattern searche for a pattern in the built suffix tree.Example Usage:
example_usage.py: Demonstrates how to use the Suffix Tree implementation with a predefined text and searches for various patterns.Unit Tests:
test_suffix_tree.py: Validates the correctness of the Suffix Tree implementation, including tests for building the tree and searching for patterns.Reference
Data Structures and Algorithms in C++, 2nd Edition