"""Tests for Power Function questions generation"""

import pytest

from reasoning_gym.arithmetic import PowerFunctionConfig, PowerFunctionDataset


def test_power_function_dataset_deterministic():
    """Test that dataset generates same items with same seed"""
    config = PowerFunctionConfig(seed=42, size=10)
    dataset1 = PowerFunctionDataset(config)
    dataset2 = PowerFunctionDataset(config)

    for i in range(len(dataset1)):
        assert dataset1[i] == dataset2[i]


def test_power_function_dataset_items():
    """Test basic properties of generated items"""
    config = PowerFunctionConfig(min_base=-100, max_base=-100, min_exponent=-10, max_exponent=10, size=10, seed=42)
    dataset = PowerFunctionDataset(config)

    for i in range(len(dataset)):
        item = dataset[i]
        # Check item structure
        assert isinstance(item, dict)
        assert "question" in item
        assert "answer" in item
        assert "metadata" in item

        # Check metadata
        assert "base" in item["metadata"]
        assert "exponent" in item["metadata"]

        base = item["metadata"]["base"]
        exponent = item["metadata"]["exponent"]
        solution = item["metadata"]["solution"]

        # Verify values
        assert config.min_base <= base <= config.max_base
        assert config.min_exponent <= exponent <= config.max_exponent
        assert solution == pow(base, exponent)


def test_power_function_dataset_iteration():
    """Test that iteration respects dataset size"""
    config = PowerFunctionConfig(size=5, seed=42)
    dataset = PowerFunctionDataset(config)

    items = list(dataset)
    assert len(items) == config.size

    # Test multiple iterations yield same items
    assert items == list(dataset)


def test_power_function_score_function():
    """Test score function"""
    config = PowerFunctionConfig(seed=42)
    dataset = PowerFunctionDataset(config)

    item = dataset[0]

    # Answer is within 1e-6 of solution
    answer = str(item["metadata"]["solution"] - 1e-7)
    assert dataset.score_answer(answer, item) == 1.0

    # Answer is within 1e-1 of solution
    answer = str(item["metadata"]["solution"] - 1e-2)
    assert dataset.score_answer(answer, item) == 0.5

    # Answer is far from solution
    answer = str(item["metadata"]["solution"] - 1)
    assert dataset.score_answer(answer, item) == 0.01

    # Answer is None
    answer = None
    assert dataset.score_answer(answer, item) == 0.0