| import re |
| import json |
|
|
| from tqdm import tqdm |
| from loguru import logger |
|
|
| from pathlib import Path |
| from typing import Tuple, List |
|
|
|
|
| project_root = Path(__file__).parent.parent.parent |
| problem_pattern = re.compile(r'\n(\d+)\.\s+', re.IGNORECASE) |
| solution_pattern = re.compile(r'(?:\n|# )Opgave\s+(\d+)\.', re.IGNORECASE) |
|
|
|
|
| def analyze_problem(text: str) -> Tuple[List, int]: |
| tags = list(problem_pattern.finditer(text)) |
| problem_num = len(tags) |
| tags.sort(key=lambda x: x.start()) |
| return tags, problem_num |
|
|
|
|
| def analyze_solution(text: str) -> Tuple[List, int]: |
| tags = list(solution_pattern.finditer(text)) |
| solution_num = len(tags) |
| tags.sort(key=lambda x: x.start()) |
| return tags, solution_num |
|
|
|
|
| def segment(text: str, tags: list): |
| starts = [] |
| ends = [] |
|
|
| for i, t in enumerate(tags): |
| starts.append(t.end()) |
| if i + 1 < len(tags): |
| ends.append(tags[i + 1].start()) |
| else: |
| ends.append(len(text)) |
|
|
| return [text[start:end].strip() for start, end in zip(starts, ends)] |
|
|
|
|
| def join(problems, solutions): |
| pairs = [] |
|
|
| for problem in problems: |
| key = problem[0].group(1) |
|
|
| problem_content = problem[1] |
| problem_label = key |
| problem_match = problem[0].group(0) |
| solution_content, solution_match = [], '' |
| |
| for s in solutions: |
| if s[0].group(1) == key: |
| solution_content = s[1] |
| solution_match = s[0].group(0) |
| break |
|
|
| pairs.append((problem_content, solution_content, problem_label, problem_match, solution_match)) |
|
|
| return pairs |
|
|
|
|
| def write_pairs(output_file: Path, pairs): |
| year = re.search(r'(\d{4})', output_file.stem).group(1) |
|
|
| output_jsonl_text = "" |
| for problem, solution, problem_label, problem_match, solution_match in pairs: |
| output_jsonl_text += json.dumps( |
| { |
| 'year': year, |
| 'tier': 'T1', |
| 'problem_label': problem_label, |
| 'problem_type': None, |
| "exam": "Dutch_TST", |
| 'problem': problem, |
| 'solution': solution, |
| 'metadata': { |
| 'resource_path': output_file.relative_to(project_root).as_posix(), |
| 'problem_match': problem_match, |
| 'solution_match': solution_match |
| } |
| }, |
| ensure_ascii=False |
| ) + '\n' |
|
|
| output_file.write_text(output_jsonl_text, encoding="utf-8") |
|
|
|
|
| def main(): |
| compet_base_path = Path(__file__).resolve().parent.parent |
| compet_md_path = compet_base_path / "md" |
| seg_output_path = compet_base_path / "segmented" |
|
|
| special_years_md = { |
| "2007": { |
| "problem": "nl-2007-opgaven.md", |
| "solution": "nl-2007-uitwerkingen.md" |
| }, |
| "2008": { |
| "problem": "nl-2008-opgaven.md", |
| "solution": "nl-2008-uitwerkingen.md" |
| } |
| } |
|
|
| total_problem_count = 0 |
| total_solution_count = 0 |
|
|
| for year, md in tqdm(special_years_md.items()): |
| problem_path = compet_md_path / md["problem"] |
| solution_path = compet_md_path / md["solution"] |
|
|
| output_file = seg_output_path / solution_path.relative_to(compet_md_path).with_suffix('.jsonl') |
| output_file.parent.mkdir(parents=True, exist_ok=True) |
|
|
| problem_content = problem_path.read_text(encoding="utf-8") |
| problem_tags, problem_num = analyze_problem(problem_content) |
| segmented_problems = segment(problem_content, problem_tags) |
| problems = zip(problem_tags, segmented_problems) |
|
|
| solution_content = solution_path.read_text(encoding="utf-8") |
| solution_tags, solution_num = analyze_solution(solution_content) |
| segmented_solutions = segment(solution_content, solution_tags) |
| solutions = zip(solution_tags, segmented_solutions) |
|
|
| pairs = join(problems, solutions) |
| write_pairs(output_file, pairs) |
|
|
| total_problem_count += problem_num |
| total_solution_count += len(pairs) |
|
|
| logger.info(f"Total problem count: {total_problem_count}") |
| logger.info(f"Total solution count: {total_solution_count}") |
|
|
|
|
| if __name__ == "__main__": |
| main() |
