"""Count prime numbers in a given interval. Solution obtained with Sieve of Eratosthenes: https://en.wikipedia.org/wiki/Sieve_of_Eratosthenes """ import math from dataclasses import dataclass from random import Random from typing import Optional from ..factory import ProceduralDataset, register_dataset QUESTION_TEMPLATE = """Count how many prime numbers there are between {start} and {end} (inclusive) ?""" @dataclass class CountPrimesConfig: """Configuration for Count Primes dataset generation""" max_n: int = 10_000 # Upper bound for the interval size: int = 500 # Virtual dataset size seed: Optional[int] = None def validate(self): """Validate configuration parameters""" assert 1 <= self.max_n, "max_n must be at least 1" class CountPrimesDataset(ProceduralDataset): """Generates Count Primes exercises with configurable difficulty""" def __init__(self, config: CountPrimesConfig): super().__init__(config=config, seed=config.seed, size=config.size) self.primes = self._get_primes(config.max_n + 1) def _get_primes(self, n: int) -> list[bool]: if n <= 1: return [] primes = [True] * n primes[0] = primes[1] = False for i in range(2, int(math.sqrt(n)) + 1): if primes[i]: for j in range(2 * i, n, i): primes[j] = False return primes def __getitem__(self, idx: int) -> dict: """Generate a single Count Primes question""" rng = Random(self.seed + idx) start = rng.randint(1, self.config.max_n) end = rng.randint(start, self.config.max_n) primes = [i for i in range(start, end + 1) if self.primes[i]] answer = len(primes) return { "question": QUESTION_TEMPLATE.format(start=start, end=end), "answer": str(answer), "metadata": {"start": start, "end": end, "primes": primes, "solution": answer}, } register_dataset("count_primes", CountPrimesDataset, CountPrimesConfig)