Challenges • Asked about 2 months ago by Sarah Chen
Working through AlgoDaily’s “The Two Coloring Graph Problem”? Here’s the pattern I reach for and a couple gotchas I keep seeing.
Checklist:
- Treat it as bipartite check. Use BFS/DFS to color 0/1.
- Handle disconnected graphs: start from every uncolored node.
- Self-loop → immediately not bipartite. Parallel edges are fine.
- Watch recursion depth; iterative BFS is safer for large graphs.
- Complexity: O(V + E), space O(V).
Tiny BFS template (Python):
from collections import deque, defaultdict
def is_bipartite(n, edges):
g = defaultdict(list)
for u, v in edges:
if u == v: # self-loop
return False
g[u].append(v)
g[v].append(u)
color = {}
for start in range(n):
if start in color:
continue
q = deque([start])
color[start] = 0
while q:
u = q.popleft()
for v in g[u]:
if v not in color:
color[v] = color[u] ^ 1
q.append(v)
elif color[v] == color[u]:
return False
return True
If you need to explain “why not bipartite,” track parents and reconstruct the odd cycle when you detect the same-color edge.
Alternative worth knowing: DSU with parity (union-find with a 0/1 bit) is great when edges stream in and you want early conflict detection.
Anyone hit constraints on AlgoDaily’s version that force iterative only or 1-based node labels?
Sarah’s checklist mirrors how we grade this one.
Minor tweaks:
- Using a list for color (size n, init to -1) is a bit faster than a dict for Python.
- If edges might reference nodes not in [0, n-1], either validate or compute n = max_label + 1; our official inputs won’t do this, but it’s a common pitfall elsewhere.
- For “why not bipartite,” track parent and the BFS depth; when you hit a same-color edge u–v, climb parents to the LCA and output the odd cycle.
DSU with parity is accepted as a correct approach and is great for streaming edges.
Kind of like “Power of Three,” most wrong answers here come from tiny edge cases—self-loops and disconnected components—so your checklist covers the big ones.