Windows Python 3.12 Multiprocessing Deadlock

I'm having trouble getting this example working. In serial this function works just fine, but when I attempt to run it in a multiprocessing.Pool it locks up and will not return a simple random integer. I'm specifically using the spawn context because I'm developing in a Windows environment.

import multiprocessing
from tqdm import tqdm


def test_parallel(min_rng: int):
    import random

    return random.randint(min_rng, 100)


def bootstrap_test_parallel(n_tasks: int = 10_000, min_rng: int = 3,
                            pool_size: int = max(1, multiprocessing.cpu_count() - 1)):
    results = [None for _ in range(n_tasks)]

    def log_result(value, ix):
        results[ix] = value

    if pool_size == 1:
        for ix in tqdm(range(n_tasks)):
            log_result(test_parallel(min_rng), ix)
    else:
        with multiprocessing.get_context("spawn").Pool(pool_size) as pool:
            for ix in tqdm(range(n_tasks)):
                log_result(pool.apply_async(test_parallel, args=(min_rng,)), ix=ix)

            for ix in tqdm(range(n_tasks)):
                results[ix] = results[ix].get()

    return results


if __name__ == "__main__":
    output_one = bootstrap_test_parallel(n_tasks=10, pool_size=1)  # runs fine
    print(output_one)
    output_two = bootstrap_test_parallel(n_tasks=10, pool_size=2)  # hangs indefinitely
    print(output_two)