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import re |
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import json |
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from tqdm import tqdm |
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from loguru import logger |
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from pathlib import Path |
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from typing import Tuple, List |
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project_root = Path(__file__).parent.parent.parent |
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problem_tag = 'Problem' |
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solution_tag = 'Solution' |
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problem_pattern = re.compile(r'(?:\n|# )Opgave\s+(\d+)\.', re.IGNORECASE) |
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solution_pattern = re.compile(r'(?:\n|# )Oplossing(?:\s+(\d+)\.|\s+(I{1,3}|IV|V|VI{1,3}|IX)\.|\.|\n|:)', re.IGNORECASE) |
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def analyze(text: str) -> Tuple[List, int]: |
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""" |
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Analyze the text and return the tags and problem number. |
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Args: |
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text (str): The markdown text to analyze. |
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Returns: |
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Tuple[List, int]: A tuple containing the tags and problem number. |
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""" |
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tags = [] |
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tags.extend([(x, problem_tag) for x in problem_pattern.finditer(text)]) |
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problem_num = len(tags) |
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tags.extend([(x, solution_tag) for x in solution_pattern.finditer(text)]) |
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tags.sort(key=lambda x: x[0].start()) |
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return tags, problem_num |
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def segment(text: str, tags): |
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starts = [] |
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ends = [] |
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for i in range(len(tags)): |
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starts.append(tags[i][0].end()) |
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if i + 1 < len(tags): |
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ends.append(tags[i + 1][0].start()) |
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else: |
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ends.append(len(text)) |
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return [text[start:end].strip().rstrip("#").strip() for start, end in zip(starts, ends)] |
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def join(tags, segments): |
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problem, solution = '', '' |
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problem_label, problem_match, solution_match = '', '', '' |
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pairs = [] |
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has_solution = any([tag[1] == solution_tag for tag in tags]) |
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for tag, segment in zip(tags, segments): |
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if tag[1] == problem_tag: |
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problem = segment |
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problem_match = tag[0].group(0) |
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problem_label = tag[0].group(1) if tag[0].group(1) else tag[0].group(2) |
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if not has_solution: |
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pairs.append((problem, '', problem_label, problem_match, '')) |
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else: |
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solution = segment |
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solution_match = tag[0].group(0) |
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pairs.append((problem, solution, problem_label, problem_match, solution_match)) |
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return pairs |
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def write_pairs(output_file: Path, pairs): |
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year = re.search(r'(\d{4})', output_file.stem).group(1) |
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output_jsonl_text = "" |
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for problem, solution, problem_label, problem_match, solution_match in pairs: |
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output_jsonl_text += json.dumps( |
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{ |
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'year': year, |
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'tier': 'T1', |
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'problem_label': problem_label, |
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'problem_type': None, |
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"exam": "Dutch_TST", |
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'problem': problem, |
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'solution': solution, |
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'metadata': { |
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'resource_path': output_file.relative_to(project_root).as_posix(), |
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'problem_match': problem_match, |
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'solution_match': solution_match |
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} |
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}, |
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ensure_ascii=False |
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) + '\n' |
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output_file.write_text(output_jsonl_text, encoding="utf-8") |
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def main(): |
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compet_base_path = Path(__file__).resolve().parent.parent |
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compet_md_path = compet_base_path / "md" |
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seg_output_path = compet_base_path / "segmented" |
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total_problem_count = 0 |
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total_solution_count = 0 |
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for dutch_tst_md in tqdm(list(compet_md_path.glob('**/*.md')), desc='Segmenting'): |
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output_file = seg_output_path / dutch_tst_md.relative_to(compet_md_path).with_suffix('.jsonl') |
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output_file.parent.mkdir(parents=True, exist_ok=True) |
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text = '\n' + dutch_tst_md.read_text(encoding="utf-8") |
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if all([y not in dutch_tst_md.name for y in ["2007", "2008"]]): |
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tags, problem_num = analyze(text) |
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if problem_num != 4 and problem_num != 5: |
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logger.warning(f"{dutch_tst_md} problem number is {problem_num}") |
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segments = segment(text, tags) |
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pairs = join(tags, segments) |
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if pairs and problem_num > 0: |
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write_pairs(output_file, pairs) |
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total_problem_count += problem_num |
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total_solution_count += len(pairs) |
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else: |
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logger.warning(f"No problem found in {dutch_tst_md}") |
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logger.info(f"Total problem count: {total_problem_count}") |
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logger.info(f"Total solution count: {total_solution_count}") |
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if __name__ == '__main__': |
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main() |
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