from functools import lru_cache

import csv
import os

@lru_cache(maxsize=128)
def _load_csv(filename: str, mtime: float, encoding: str | None = None) -> tuple[tuple[str, ...], ...]:
    with open(filename, 'r', newline='', encoding=encoding) as f:
        reader = csv.reader(f)
        return tuple(tuple(row) for row in reader)

def parse_csv_to_tuples(filename: str) -> list[tuple[str, ...]]:
    current_mtime = os.path.getmtime(filename)
    data: tuple[tuple[str, ...], ...] = _load_csv(filename, current_mtime)
    return sorted(data, key=lambda x: x[1])

def parse_csv_to_dict(filename: str) -> dict[str, list[str]]:
    current_mtime = os.path.getmtime(filename)
    data: tuple[tuple[str, ...], ...] = _load_csv(filename, current_mtime, encoding='utf-8-sig')
    result = {}
    for row in data:
        if row:
            result[row[0]] = list(row[1:])
    return result