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add newzealand mo 2019-2025
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# -----------------------------------------------------------------------------
# Author: Jiawei Liu
# Date: 2025-10-29
# -----------------------------------------------------------------------------
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_tag = "Problem"
solution_tag = "Solution"
def clean_text(text: str) -> str:
"""
Clean the input text by removing unwanted characters and normalizing spaces.
Args:
text (str): The input markdown text.
Returns:
str: The cleaned text.
"""
text = text.replace("www.mathsolympiad.org.nz", "")
return text.strip()
def analyze(text: str) -> Tuple[List, int]:
"""
Analyze the text and return the tags and problem number.
Args:
text (str): The markdown text to analyze.
Returns:
Tuple[List, int]: A tuple containing the tags and problem number.
"""
problem_pattern = re.compile(
r"(?:\n|# )(?:(\d+)\.\sProblem\:?|(\d+)\.)", re.IGNORECASE
)
solution_pattern = re.compile(
r"(?:\n|#\s*)(?:Solution|FIRST SOLUTION|SECOND SOLUTION|THIRD SOLUTION|Solution.*?\:|Alternative Solution.*?\:)",
re.IGNORECASE,
)
tags = []
tags.extend([(x, problem_tag) for x in problem_pattern.finditer(text)])
problem_num = len(tags)
tags.extend([(x, solution_tag) for x in solution_pattern.finditer(text)])
tags.sort(key=lambda x: x[0].start())
return tags, problem_num
def segment(text: str, tags):
starts = []
ends = []
for i in range(len(tags)):
starts.append(tags[i][0].end())
if i + 1 < len(tags):
ends.append(tags[i + 1][0].start())
else:
ends.append(len(text))
return [
text[start:end].strip().strip("#").strip() for start, end in zip(starts, ends)
]
def join(tags, segments):
problem, solution = "", ""
problem_label, problem_match, solution_match = "", "", ""
pairs = []
for tag, segment in zip(tags, segments):
if tag[1] == problem_tag:
problem = segment
problem_match = tag[0].group(0)
problem_label = tag[0].group(1) or tag[0].group(2)
else:
solution = segment
solution_match = tag[0].group(0)
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)
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": "NewZealand_MO",
"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 nzmo_md in tqdm(list(compet_md_path.glob("**/*.md")), desc="Segmenting"):
output_file = seg_output_path / nzmo_md.relative_to(compet_md_path).with_suffix(
".jsonl"
)
output_file.parent.mkdir(parents=True, exist_ok=True)
text = "\n" + clean_text(nzmo_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 {nzmo_md}")
logger.info(f"Total problem count: {total_problem_count}")
logger.info(f"Total solution count: {total_solution_count}")
if __name__ == "__main__":
main()