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data_structures/binary_tree/lowest_common_ancestor.py

@@ -32,7 +32,7 @@ def create_sparse(max_node: int, parent: list[list[int]]) -> list[list[int]]:
     For example, consider a small tree where:
       - Node 1 is the root (its parent is 0),
       - Nodes 2 and 3 have parent 1.
-    
+
     We set up the parent table for only two levels (row 0 and row 1)
     for max_node = 3. (Note that in practice the table has many rows.)
 
@@ -65,7 +65,7 @@ def lowest_common_ancestor(
 
     The lists `level` and `parent` must be precomputed. `level[i]` is the depth of node i,
     and `parent` is a sparse table where parent[0][i] is the direct parent of node i.
-    
+
     >>> # Consider a simple tree:
     >>> #       1
     >>> #      / \\
@@ -142,9 +142,9 @@ def main() -> None:
     then create the sparse table and compute several lowest common ancestors.
 
     The sample tree used is:
-    
+
             1
-         /  |  \ 
+         /  |  \
         2   3   4
        /   / \\  \\
       5   6   7  8
@@ -160,7 +160,7 @@ def main() -> None:
       - LCA(8, 8)  --> 8
 
     To test main() without it printing to the console, we capture the output.
-    
+
     >>> import sys
     >>> from io import StringIO
     >>> backup = sys.stdout