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6.53 kB
| import re | |
| import json | |
| from tqdm import tqdm | |
| from loguru import logger | |
| from pathlib import Path | |
| from typing import Tuple, List | |
| from dataclasses import dataclass | |
| project_root = Path(__file__).parent.parent.parent | |
| class Problem: | |
| match: re.Match | |
| class Solution: | |
| match: re.Match | |
| def clean_text(text: str) -> str: | |
| text = text.replace( | |
| 'For a discussion, see\nW. Morris and V. Soltan. The Erdős-Szekeres Problem on Points in Convex Postion-A Survey, Bulletin of the American Math Monthly. 37 (2000), 437-458.\n\nThis article is available at\nhttp://www.ams.org/bull/2000-37-04/S0273-0979-00-00877-6/home.html.\nIf $N(7)=33$, the highest sure score on this problem would be $32-6=26$. It is not known whether there exist arbitrarily large sets of points that will fool the graders.\n\n## The unexamined life is not worth living.', | |
| '' | |
| ) | |
| text = text.replace( | |
| '- Bishop: This piece can move any number of squares diagonally if there are no other pieces along its path.\n- Rook: This piece can move any number of squares either vertically or horizontally if there are no other pieces along its path\n- Knight: This piece can move either two squares along a row and one square along a column or two squares along a column and one square along a row.\n- King: This piece can move to any open adjacent square (including diagonally).', | |
| '' | |
| ) | |
| return text | |
| def find_problem_with_solution( | |
| text: str, | |
| problem_parttern: re.Pattern, | |
| solution_pattern: re.Pattern | |
| ) -> int: | |
| """ | |
| Find the problem with solution start position in the text. | |
| Args: | |
| text (str): The text to search. | |
| Returns: | |
| int: The start position of the problem with solution. | |
| """ | |
| matchs = list(problem_parttern.finditer(text)) | |
| for index, match in enumerate(matchs): | |
| section_end_position = matchs[index + 1].start() if index + 1 < len(matchs) else len(text) | |
| if solution_pattern.search(text[match.start():section_end_position]): | |
| return match.start() | |
| return 0 | |
| def analyze(text: str) -> Tuple[List[Problem | Solution], int]: | |
| """ | |
| Analyze the text and return the tags and problem number. | |
| Args: | |
| text (str): The markdown text to analyze. | |
| Returns: | |
| Tuple[List[Problem | Solution], int]: A tuple containing the tags and problem number. | |
| """ | |
| problem_pattern = re.compile(r'(?:\n|\n\#+\s+)(?:(\d{1,2})\.\s+(?:problem\:\s*|\$?\[.+?\]\$?)?|problem\s+?(\w+)\s+\[\d+(?:\spoints)?\]|\$([H|M|T]_\{\d+\})\$\.)', re.IGNORECASE) | |
| solution_pattern = re.compile(r'(?:\n|\n\#+\s+)(?:answer\:|solution(?:\s+\d+)?(?:\:|\.)|Proposed by:.*?\n)\s*', re.IGNORECASE) | |
| start_position = find_problem_with_solution(text, problem_pattern, solution_pattern) | |
| tags: List[Problem | Solution] = [] | |
| tags.extend([Problem(x) for x in problem_pattern.finditer(text, start_position)]) | |
| problem_num = len(tags) | |
| tags.extend([Solution(x) for x in solution_pattern.finditer(text, start_position)]) | |
| tags.sort(key=lambda x: x.match.start()) | |
| return tags, problem_num | |
| def segment(text: str, tags: List[Problem | Solution]) -> List[str]: | |
| starts = [] | |
| ends = [] | |
| for i in range(len(tags)): | |
| starts.append(tags[i].match.end()) | |
| if i + 1 < len(tags): | |
| ends.append(tags[i + 1].match.start()) | |
| else: | |
| ends.append(len(text)) | |
| return [text[start:end].strip() for start, end in zip(starts, ends)] | |
| def join(tags: List[Problem | Solution], segments: List[str]) -> List[Tuple[str, str, str, str, str]]: | |
| problem, solution = '', '' | |
| problem_label, problem_match, solution_match = '', '', '' | |
| pairs = [] | |
| for tag, segment in zip(tags, segments): | |
| if isinstance(tag, Problem): | |
| problem = segment | |
| problem_match = tag.match.group(0) | |
| problem_label = tag.match.group(1) or tag.match.group(2) or tag.match.group(3) | |
| elif problem.strip() != "": | |
| solution = segment | |
| solution_match = tag.match.group(0) | |
| if solution.strip() == "": | |
| continue | |
| pairs.append((problem, solution, 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) | |
| problem_type_mapping = { | |
| "-alg-": "Algebra", | |
| "-comb-": "Combinatorics", | |
| "-geo-": "Geometry", | |
| } | |
| problem_type = None | |
| for _k, _v in problem_type_mapping.items(): | |
| if _k in output_file.stem: | |
| problem_type = _v | |
| break | |
| output_jsonl_text = "" | |
| for problem, solution, problem_label, problem_match, solution_match in pairs: | |
| output_jsonl_text += json.dumps( | |
| { | |
| 'year': year, | |
| 'tier': "T4", | |
| 'problem_label': problem_label, | |
| 'problem_type': problem_type, | |
| "exam": "HMMT", | |
| '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" | |
| total_problem_count = 0 | |
| total_solution_count = 0 | |
| for hmmt_md in tqdm(list(compet_md_path.glob('**/*.md')), desc='Segmenting'): | |
| output_file = seg_output_path / hmmt_md.relative_to(compet_md_path).with_suffix('.jsonl') | |
| output_file.parent.mkdir(parents=True, exist_ok=True) | |
| text = '\n' + clean_text(hmmt_md.read_text(encoding="utf-8")) | |
| tags, problem_num = analyze(text) | |
| segments = segment(text, tags) | |
| pairs = join(tags, segments) | |
| if pairs and problem_num > 0: | |
| write_pairs(output_file, pairs) | |
| total_problem_count += problem_num | |
| total_solution_count += len(pairs) | |
| else: | |
| logger.warning(f"No problem found in {hmmt_md}") | |
| logger.info(f"Total problem count: {total_problem_count}") | |
| logger.info(f"Total solution count: {total_solution_count}") | |
| if __name__ == '__main__': | |
| main() | |