diff --git a/data_structures/binary_tree/mirror_binary_tree.py b/data_structures/binary_tree/mirror_binary_tree.py
index 62e2f08dd4e0..f6611d66d676 100644
--- a/data_structures/binary_tree/mirror_binary_tree.py
+++ b/data_structures/binary_tree/mirror_binary_tree.py
@@ -56,6 +56,8 @@ def mirror(self) -> Node:
 def make_tree_seven() -> Node:
     r"""
     Return a binary tree with 7 nodes that looks like this:
+    ::
+
            1
          /   \
         2     3
@@ -81,13 +83,15 @@ def make_tree_seven() -> Node:
 def make_tree_nine() -> Node:
     r"""
     Return a binary tree with 9 nodes that looks like this:
-          1
-         /  \
-        2    3
-       / \    \
-      4   5    6
-     / \   \
-    7   8   9
+    ::
+
+            1
+           / \
+          2   3
+         / \   \
+        4   5   6
+       / \   \
+      7   8   9
 
     >>> tree_nine = make_tree_nine()
     >>> len(tree_nine)
@@ -117,23 +121,25 @@ def main() -> None:
     >>> tuple(tree.mirror())
     (6, 3, 1, 9, 5, 2, 8, 4, 7)
 
-    nine_tree:
-          1
-         /  \
-        2    3
-       / \    \
-      4   5    6
-     / \   \
-    7   8   9
-
-    The mirrored tree looks like this:
+    nine_tree::
+
+            1
+           / \
+          2   3
+         / \   \
+        4   5   6
+       / \   \
+      7   8   9
+
+    The mirrored tree looks like this::
+
           1
-         /  \
-        3    2
-       /    / \
-      6    5   4
-          /   / \
-         9   8   7
+         / \
+        3   2
+       /   / \
+      6   5   4
+         /   / \
+        9   8   7
     """
     trees = {"zero": Node(0), "seven": make_tree_seven(), "nine": make_tree_nine()}
     for name, tree in trees.items():
diff --git a/graphs/check_bipatrite.py b/graphs/check_bipatrite.py
index 10b9cc965251..213f3f9480b5 100644
--- a/graphs/check_bipatrite.py
+++ b/graphs/check_bipatrite.py
@@ -6,16 +6,17 @@ def is_bipartite_dfs(graph: defaultdict[int, list[int]]) -> bool:
     Check if a graph is bipartite using depth-first search (DFS).
 
     Args:
-        graph: Adjacency list representing the graph.
+        `graph`: Adjacency list representing the graph.
 
     Returns:
-        True if bipartite, False otherwise.
+        ``True`` if bipartite, ``False`` otherwise.
 
     Checks if the graph can be divided into two sets of vertices, such that no two
     vertices within the same set are connected by an edge.
 
     Examples:
-    # FIXME: This test should pass.
+
+    >>> # FIXME: This test should pass.
     >>> is_bipartite_dfs(defaultdict(list, {0: [1, 2], 1: [0, 3], 2: [0, 4]}))
     Traceback (most recent call last):
         ...
@@ -37,7 +38,7 @@ def is_bipartite_dfs(graph: defaultdict[int, list[int]]) -> bool:
         ...
     KeyError: 0
 
-    # FIXME: This test should fails with KeyError: 4.
+    >>> # FIXME: This test should fails with KeyError: 4.
     >>> is_bipartite_dfs({0: [1, 3], 1: [0, 2], 2: [1, 3], 3: [0, 2], 9: [0]})
     False
     >>> is_bipartite_dfs({0: [-1, 3], 1: [0, -2]})
@@ -51,7 +52,8 @@ def is_bipartite_dfs(graph: defaultdict[int, list[int]]) -> bool:
         ...
     KeyError: 0
 
-    # FIXME: This test should fails with TypeError: list indices must be integers or...
+    >>> # FIXME: This test should fails with
+    >>> # TypeError: list indices must be integers or...
     >>> is_bipartite_dfs({0: [1.0, 3.0], 1.0: [0, 2.0], 2.0: [1.0, 3.0], 3.0: [0, 2.0]})
     True
     >>> is_bipartite_dfs({"a": [1, 3], "b": [0, 2], "c": [1, 3], "d": [0, 2]})
@@ -95,16 +97,17 @@ def is_bipartite_bfs(graph: defaultdict[int, list[int]]) -> bool:
     Check if a graph is bipartite using a breadth-first search (BFS).
 
     Args:
-        graph: Adjacency list representing the graph.
+        `graph`: Adjacency list representing the graph.
 
     Returns:
-        True if bipartite, False otherwise.
+        ``True`` if bipartite, ``False`` otherwise.
 
     Check if the graph can be divided into two sets of vertices, such that no two
     vertices within the same set are connected by an edge.
 
     Examples:
-    # FIXME: This test should pass.
+
+    >>> # FIXME: This test should pass.
     >>> is_bipartite_bfs(defaultdict(list, {0: [1, 2], 1: [0, 3], 2: [0, 4]}))
     Traceback (most recent call last):
         ...
@@ -126,7 +129,7 @@ def is_bipartite_bfs(graph: defaultdict[int, list[int]]) -> bool:
         ...
     KeyError: 0
 
-    # FIXME: This test should fails with KeyError: 4.
+    >>> # FIXME: This test should fails with KeyError: 4.
     >>> is_bipartite_bfs({0: [1, 3], 1: [0, 2], 2: [1, 3], 3: [0, 2], 9: [0]})
     False
     >>> is_bipartite_bfs({0: [-1, 3], 1: [0, -2]})
@@ -140,7 +143,8 @@ def is_bipartite_bfs(graph: defaultdict[int, list[int]]) -> bool:
         ...
     KeyError: 0
 
-    # FIXME: This test should fails with TypeError: list indices must be integers or...
+    >>> # FIXME: This test should fails with
+    >>> # TypeError: list indices must be integers or...
     >>> is_bipartite_bfs({0: [1.0, 3.0], 1.0: [0, 2.0], 2.0: [1.0, 3.0], 3.0: [0, 2.0]})
     True
     >>> is_bipartite_bfs({"a": [1, 3], "b": [0, 2], "c": [1, 3], "d": [0, 2]})