Compile, run, and benchmark algorithmic code across 40+ programming languages with automated edge-case testing, space-time complexity analysis, and strict anti-plagiarism proctoring.
def two_sum(nums: list[int], target: int) -> list[int]:
seen = {}
for i, num in enumerate(nums):
complement = target - num
if complement in seen:
return [seen[complement], i]
seen[num] = i
return []
# Test execution runner
print(two_sum([2, 7, 11, 15], 9)) # Output: [0, 1]Every code submission executes in an isolated, memory-capped Firecracker microVM with strict 2-second timeout limits.
Evaluate resilience against edge cases: null inputs, integer overflows, recursion stack depth, and $O(N^2)$ timeouts.
Detects copied logic, AST structure similarity, tab switches, and clipboard paste anomalies automatically.
Solve daily curated coding challenges and benchmark your algorithmic readiness against thousands of peers.