[pre-commit.ci] pre-commit autoupdate (#11557)

* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/astral-sh/ruff-pre-commit: v0.6.3 → v0.6.4](https://github.com/astral-sh/ruff-pre-commit/compare/v0.6.3...v0.6.4)
- [github.com/tox-dev/pyproject-fmt: 2.2.1 → 2.2.3](https://github.com/tox-dev/pyproject-fmt/compare/2.2.1...2.2.3)

* updating DIRECTORY.md

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: pre-commit-ci[bot] <pre-commit-ci[bot]@users.noreply.github.com>

.pre-commit-config.yaml

@@ -16,7 +16,7 @@ repos:
       - id: auto-walrus
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.6.3
+    rev: v0.6.4
     hooks:
       - id: ruff
       - id: ruff-format
@@ -29,7 +29,7 @@ repos:
           - tomli
 
   - repo: https://github.com/tox-dev/pyproject-fmt
-    rev: "2.2.1"
+    rev: "2.2.3"
     hooks:
       - id: pyproject-fmt
 

DIRECTORY.md

@@ -243,6 +243,15 @@
     * [Min Heap](data_structures/heap/min_heap.py)
     * [Randomized Heap](data_structures/heap/randomized_heap.py)
     * [Skew Heap](data_structures/heap/skew_heap.py)
+  * Kd Tree
+    * [Build Kdtree](data_structures/kd_tree/build_kdtree.py)
+    * Example
+      * [Example Usage](data_structures/kd_tree/example/example_usage.py)
+      * [Hypercube Points](data_structures/kd_tree/example/hypercube_points.py)
+    * [Kd Node](data_structures/kd_tree/kd_node.py)
+    * [Nearest Neighbour Search](data_structures/kd_tree/nearest_neighbour_search.py)
+    * Tests
+      * [Test Kdtree](data_structures/kd_tree/tests/test_kdtree.py)
   * Linked List
     * [Circular Linked List](data_structures/linked_list/circular_linked_list.py)
     * [Deque Doubly](data_structures/linked_list/deque_doubly.py)
@@ -285,12 +294,6 @@
   * Trie
     * [Radix Tree](data_structures/trie/radix_tree.py)
     * [Trie](data_structures/trie/trie.py)
-  * KD Tree
-    * [KD Tree Node](data_structures/kd_tree/kd_node.py)
-    * [Build KD Tree](data_structures/kd_tree/build_kdtree.py)
-    * [Nearest Neighbour Search](data_structures/kd_tree/nearest_neighbour_search.py)
-    * [Hypercibe Points](data_structures/kd_tree/example/hypercube_points.py)
-    * [Example Usage](data_structures/kd_tree/example/example_usage.py)
 
 ## Digital Image Processing
   * [Change Brightness](digital_image_processing/change_brightness.py)