algorithmic/README.md

FrontierCS - Algorithmic Problems

Problem Structure

Each problem in problems/{id}/ contains:

problems/{id}/
├── statement.txt      # Problem description
├── tag.txt            # Category tag
├── config.yaml        # Time/memory limits, test count
├── testdata/          # Test cases (public: 1 per problem)
│   ├── 1.in
│   └── 1.ans
└── chk.cc / interactor.cc   # Checker or interactor

Quick Start

Start Judge Server

docker-compose up --build -d   # First time
docker-compose up -d           # Subsequent runs

Judge runs at http://localhost:8081.

How It Works

1. Fetch problem statement from judge API
2. Generate solution via LLM (C++ code)
3. Submit to judge server
4. Poll for result
5. Score based on test case pass rate

The judge sever will save solutions and their detailed judging results under the folder algorithmic/submissions.

Judge API

Endpoint	Description
GET /problems	List all problems
GET /problem/{id}/statement	Get problem statement
POST /submit	Submit solution
GET /result/{sid}	Get submission result

Python API

from frontier_cs import FrontierCSEvaluator

evaluator = FrontierCSEvaluator()

# Evaluate an algorithmic problem
result = evaluator.evaluate("algorithmic", problem_id=1, code=cpp_code)
print(f"Score: {result.score}")

# Get unbounded score (without clipping)
result = evaluator.evaluate("algorithmic", problem_id=1, code=cpp_code, unbounded=True)
print(f"Score (bounded): {result.score}")
if hasattr(result, 'score_unbounded'):
    print(f"Score (unbounded): {result.score_unbounded}")

CLI

# Evaluate a solution
frontier-eval --algorithmic 1 solution.cpp

# Get unbounded score
frontier-eval --algorithmic 1 solution.cpp --unbounded

Customized Problems

1. Create problems/{id}/ directory

2. Add required files:

   • statement.txt: Problem description
   • config.yaml: Limits and test count
   • testdata/: Input/output files
   • chk.cc or interactor.cc: Checker/interactor

3. Restart judge to pick up new problems

Judge Sever Configuration

config.yaml

time_limit: 1000        # ms
memory_limit: 262144    # KB
test_count: 10
checker: chk.cc         # or interactor: interactor.cc

docker-compose.yml

environment:
  PORT: "8081"              # API port
  JUDGE_WORKERS: "8"        # Concurrent evaluations
  GJ_PARALLELISM: "8"       # go-judge parallelism