"""标定偏差的确定性合同；统计通过不授予正式启用权限。"""

import pytest
from pydantic import ValidationError

from muse.效果评测.接口 import 标定策略, 计算标定偏差, 评测错误
from muse.效果评测.标定 import 独立来源组数


def _策略(**changes):
    return 标定策略.model_validate(
        {
            "minimum_samples": 1,
            "minimum_source_groups": 1,
            "max_mae": 0.5,
            "max_absolute_error": 1.5,
            "minimum_verdict_agreement": 1.0,
            **changes,
        }
    )


@pytest.mark.case_id(
    "TC-07954ed49dee",
    environment="离线数值合同",
    given="原观察的独立偏差或实际隔离实验及标注",
    when="调用确定性偏差计算或真实标定服务",
    then=["保留原三项偏差样例，按显式策略计算n和MAE通过。"],
    contract="docs/系统架构/新版设计/模块设计/B10-效果评测.md",
)
def test_逐项偏差按显式策略得到样本数与合格结果__07954e():
    result = 计算标定偏差([0.1, -0.2, 0.0], _策略())
    assert result["passed"] and result["n"] == 3 and result["mae"] == 0.1


@pytest.mark.case_id(
    "TC-2d83b2dca999",
    environment="离线数值合同",
    given="原观察的独立偏差或实际隔离实验及标注",
    when="调用确定性偏差计算或真实标定服务",
    then=["正负偏差不能抵消平均绝对误差，原失败样例仍拒绝。"],
    contract="docs/系统架构/新版设计/模块设计/B10-效果评测.md",
)
def test_平均绝对误差不能被正负抵消__2d83b2():
    result = 计算标定偏差([0.9, -0.8, 0.7], _策略())
    assert not result["passed"] and result["mae"] == 0.8


@pytest.mark.case_id(
    "TC-29fb4b354bf7",
    environment="离线数值合同",
    given="原观察的独立偏差或实际隔离实验及标注",
    when="调用确定性偏差计算或真实标定服务",
    then=["均差小不能掩盖单项大偏差，最大绝对偏差上限严格。"],
    contract="docs/系统架构/新版设计/模块设计/B10-效果评测.md",
)
def test_小均差不能掩盖最大偏差且边界严格__29fb4b():
    assert not 计算标定偏差([0.0, 1.6], _策略())["passed"]
    assert not 计算标定偏差([0.0, 0.0, 1.5], _策略())["passed"]


@pytest.mark.case_id(
    "TC-a1fbe5948ef3",
    environment="离线数值合同",
    given="原观察的独立偏差或实际隔离实验及标注",
    when="调用确定性偏差计算或真实标定服务",
    then=["空样本返回n=0且指标为空，不能是零误差合格。"],
    contract="docs/系统架构/新版设计/模块设计/B10-效果评测.md",
)
def test_空对照保留空指标而非零误差合格__a1fbe5():
    result = 计算标定偏差([], _策略())
    assert result == {"n": 0, "mae": None, "mean_bias": None, "max_abs": None, "passed": False}


@pytest.mark.case_id(
    "NC-w25-25e008",
    environment="离线",
    given="预注册策略、独立样本和本例异常输入",
    when="通过公开标定接口或确定性数值合同执行",
    then=["数值合同拒绝布尔、字符串和非有限值"],
    contract="docs/系统架构/新版设计/模块设计/B10-效果评测.md",
)
@pytest.mark.parametrize("bad", [True, "0.1", float("nan"), float("inf")])
def test_偏差与策略拒绝布尔字符串和非有限值__25e008(bad):
    with pytest.raises(评测错误):
        计算标定偏差([bad], _策略())
    with pytest.raises(ValidationError):
        _策略(max_mae=bad)


@pytest.mark.case_id(
    "NC-w25-25e009",
    environment="离线",
    given="预注册策略、独立样本和本例异常输入",
    when="通过公开标定接口或确定性数值合同执行",
    then=["十进制阈值不因二进制舍入误判"],
    contract="docs/系统架构/新版设计/模块设计/B10-效果评测.md",
)
def test_十进制阈值不受二进制舍入误判__25e009():
    result = 计算标定偏差([0.1, 0.2], _策略(max_mae=0.15))
    assert result["mae"] == 0.15 and result["passed"]


@pytest.mark.case_id(
    "NC-w25-25e00a",
    environment="离线",
    given="预注册策略、独立样本和本例异常输入",
    when="通过公开标定接口或确定性数值合同执行",
    then=["来源标签按共享连通分量计数，多标签不虚增独立性"],
    contract="docs/系统架构/新版设计/模块设计/B10-效果评测.md",
)
def test_来源标签多不等于独立组多且桥接按连通分量合并__25e00a():
    assert 独立来源组数([{"source_groups": ["book", "chapter", "license"]}]) == 1
    assert 独立来源组数([{"source_groups": ["a"]}, {"source_groups": ["b"]}]) == 2
    assert (
        独立来源组数(
            [{"source_groups": ["a"]}, {"source_groups": ["b"]}, {"source_groups": ["a", "b"]}]
        )
        == 1
    )