Suffix Tree Data Structure Implementation#11555
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…d_tree/example_usage.py
…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 <[email protected]>
Co-authored-by: Christian Clauss <[email protected]>
Co-authored-by: Christian Clauss <[email protected]>
…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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Closing this pull request as invalid@Ramy-Badr-Ahmed, this pull request is being closed as none of the checkboxes have been marked. It is important that you go through the checklist and mark the ones relevant to this pull request. Please read the Contributing guidelines. If you're facing any problem on how to mark a checkbox, please read the following instructions:
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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.