diff --git a/graphs/bellman_ford.py b/graphs/bellman_ford.py
index 8bd7cafb7..faf373eed 100644
--- a/graphs/bellman_ford.py
+++ b/graphs/bellman_ford.py
@@ -17,16 +17,18 @@ def print_distance_and_paths(distance: list[float], paths: list[list[int]], src:
         print(f"{vertex}\t\t{dist}\t\t\t\t{path_str}")
 
 
-def check_negative_cycle(graph: list[Edge], distance: list[float],
-predecessor: list[int]) -> bool:
+def check_negative_cycle(
+    graph: list[Edge], distance: list[float], predecessor: list[int]
+) -> bool:
     """
     Checks if there is a negative weight cycle reachable from the source vertex.
     If found, return True, indicating a negative cycle.
     """
     for edge in graph:
-        if (distance[edge.src] != float("inf") and
-            distance[edge.src] + edge.weight
-            < distance[edge.dst]):
+        if (
+            distance[edge.src] != float("inf")
+            and distance[edge.src] + edge.weight < distance[edge.dst]
+        ):
             # Update predecessors to indicate a cycle for affected paths
             # Use -1 as a marker for negative cycle detection
             predecessor[edge.dst] = -1
@@ -34,8 +36,9 @@ predecessor: list[int]) -> bool:
     return False
 
 
-def reconstruct_paths(predecessor: list[int],
-vertex_count: int, src: int) -> list[list[int]]:
+def reconstruct_paths(
+    predecessor: list[int], vertex_count: int, src: int
+) -> list[list[int]]:
     """
     Reconstructs the shortest paths from the source vertex to
     each vertex using the predecessor list.
@@ -56,8 +59,9 @@ vertex_count: int, src: int) -> list[list[int]]:
     return paths
 
 
-def bellman_ford(graph: list[Edge],
-vertex_count: int, src: int) -> tuple[list[float], list[list[int]]]:
+def bellman_ford(
+    graph: list[Edge], vertex_count: int, src: int
+) -> tuple[list[float], list[list[int]]]:
     """
     Returns the shortest paths from a vertex src to all other vertices,
     including path reconstruction.
@@ -69,8 +73,10 @@ vertex_count: int, src: int) -> tuple[list[float], list[list[int]]]:
     # Step 1: Relax edges repeatedly
     for _ in range(vertex_count - 1):
         for edge in graph:
-            if (distance[edge.src] != float("inf") and
-                distance[edge.src] + edge.weight < distance[edge.dst]):
+            if (
+                distance[edge.src] != float("inf")
+                and distance[edge.src] + edge.weight < distance[edge.dst]
+            ):
                 distance[edge.dst] = distance[edge.src] + edge.weight
                 predecessor[edge.dst] = edge.src
 
@@ -97,8 +103,9 @@ if __name__ == "__main__":
 
         for i in range(E):
             print(f"Edge {i + 1}")
-            src, dest, weight = map(int,
-            input("Enter source, destination, weight: ").strip().split())
+            src, dest, weight = map(
+                int, input("Enter source, destination, weight: ").strip().split()
+            )
             if src < 0 or src >= V or dest < 0 or dest >= V:
                 print(f"Invalid vertices: src and dest should be between 0 and {V - 1}")
                 continue