syl.py

import random

T = 596
R, C = 37, 16

numbers = list(range(1, T + 1))
random.shuffle(numbers)

sets = []
for _set in range(R):
    i_1 = _set * C
    i_2 = (_set + 1) * C
    a_set = sorted(numbers[i_1:i_2])
    print(
        "\t".join([str(x) for x in a_set])
    )

####
    
import csv
from collections import defaultdict
import random


BOOK_TO_N = {
    "국세기본법": 5,
    "법인세법": 15,
    "소득세법": 10,
    "부가가치세법": 8,
    "상증양": 2,
}

def chunks(xs, n):
    n = max(1, n)
    return list(xs[i:i + n] for i in range(0, len(xs), n))


def random_chunks_to_fixed_num_chunks_and_sets(xs, num_chunks, num_sets):
    all_chunks = []
    for _ in range(num_sets):
        random.shuffle(xs)
        ch = chunks(xs, num_chunks)
        if len(ch[-1]) < len(ch[-2]):
            random.shuffle(xs)
            ch[-1] += xs[:(len(ch[-2]) - len(ch[-1]))]
        ch = [sorted(_ch) for _ch in ch]
        if len(all_chunks) < num_sets:
            all_chunks += ch
    return all_chunks[:num_sets]



book_to_numbers = defaultdict(list)
for line in csv.DictReader(open("./_객관식세법 필수문제리스트 - 시트1.csv")):
    book_to_numbers[line["book"]].append((int(line["chapter"]), int(line["number"])))

for book, numbers in book_to_numbers.items():
    rchfns = random_chunks_to_fixed_num_chunks_and_sets(numbers, BOOK_TO_N[book], 23)

    for i, num_set_in_book in enumerate(rchfns):
        print("\t".join([book, str(i)] + [f"{chapter}|{the_num}" for chapter, the_num in num_set_in_book]))