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MCM-ICM_Toolkit/tests/test_core.py
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"""core 包测试。
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TODO(L0):TestValidate 实现后去掉 skip 标记(Result 与 Random 已完成)。
"""
from __future__ import annotations
import numpy as np
import pytest
class TestRandom:
def test_get_rng_is_reproducible(self):
from mcm_toolkit.core import get_rng
assert get_rng(42).random() == get_rng(42).random()
def test_get_rng_passes_through_generator(self):
from mcm_toolkit.core import get_rng
g = np.random.default_rng(0)
assert get_rng(g) is g
def test_get_rng_accepts_numpy_integer(self):
"""np.int64 不是 int 的子类,必须当成整数处理,不能静默退化成全局流。"""
from mcm_toolkit.core import get_rng, set_seed
set_seed(1)
first = get_rng(np.int64(42))
second = get_rng(np.int64(42))
assert first is not second, "传 np.integer 应当新建独立生成器"
assert first.random() == np.random.default_rng(42).random()
def test_get_rng_rejects_bad_types(self):
"""类型不对就报错。静默当成"没传种子",换来的只会是不可复现的结果。"""
from mcm_toolkit.core import get_rng
for bad in ["42", 42.0, True, [42]]:
with pytest.raises(TypeError):
get_rng(bad)
def test_get_rng_without_seed_shares_and_advances(self):
from mcm_toolkit.core import get_rng, set_seed
set_seed(3)
assert get_rng() is get_rng(), "无参调用应返回同一个共享生成器"
assert get_rng().random() != get_rng().random(), "共享生成器必须被推进"
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def test_get_rng_default_follows_global_seed(self):
"""set_seed 之后,不传 random_state 也必须复现——这是"论文能重跑"的底线。"""
from mcm_toolkit.core import get_rng, set_seed
set_seed(7)
first = get_rng().random()
set_seed(7)
second = get_rng().random()
assert first == second
def test_set_seed_also_covers_third_party_global_state(self):
"""sklearn / statsmodels 走的是 np.random 旧全局,set_seed 要连它一起覆盖。"""
from mcm_toolkit.core import set_seed
set_seed(7)
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first = np.random.random() # noqa: NPY002 - 这里就是要验证旧全局被设上了
set_seed(7)
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second = np.random.random() # noqa: NPY002
assert first == second
@pytest.mark.skip(reason="未实现:见 docs/03-roadmap.md L0")
class TestValidate:
def test_check_same_length_raises_with_detail(self):
from mcm_toolkit.core import check_same_length
with pytest.raises(ValueError, match=r"2.*3|长度"):
check_same_length([1, 2], [1, 2, 3])
def test_check_array_rejects_nan(self):
from mcm_toolkit.core import check_array
with pytest.raises(ValueError):
check_array([1.0, np.nan, 2.0], finite=True)
def test_check_probability_bounds(self):
from mcm_toolkit.core import check_probability
assert check_probability(0.5) == 0.5
with pytest.raises(ValueError):
check_probability(1.5)
def test_check_square_matrix(self):
from mcm_toolkit.core import check_square_matrix
check_square_matrix([[1, 2], [3, 4]])
with pytest.raises(ValueError):
check_square_matrix([[1, 2, 3], [4, 5, 6]])
def test_result_repr_is_readable():
from mcm_toolkit.core import Result
text = repr(Result("demo", params={"a": 1}, metrics={"r2": 0.9}))
# 只断言关键信息在场,不断言完整字符串——否则以后调格式会让测试集体变红
assert "demo" in text and "r2" in text
def test_result_repr_stays_short_and_safe():
"""默认值、失败结果、十万级数组:repr 都不能崩,也不能刷屏。"""
from mcm_toolkit.core import Result
assert "empty" in repr(Result("empty"))
failed = repr(Result("boom", success=False, message="求解未收敛"))
assert "success=False" in failed
assert "求解未收敛" in failed
noisy = repr(Result("mc", data=np.arange(100_000)))
assert "ndarray(100000)" in noisy
assert len(noisy) < 200, "data 不应被整个打印出来"
def test_result_summary_is_markdown_table():
from mcm_toolkit.core import Result
result = Result("topsis", params={"n": 3}, metrics={"best": 0.83})
text = result.summary()
lines = text.splitlines()
assert lines[0] == "### topsis"
assert lines[2] == "| 项 | 值 |"
assert "| success | True |" in lines
assert "| params.n | 3 |" in lines
assert "| metrics.best | 0.83 |" in lines
assert result.summary() == text, "summary 必须无副作用、可重复调用"
def test_result_summary_appends_message_on_failure():
from mcm_toolkit.core import Result
text = Result("gm11", success=False, message="样本太少").summary()
assert "| success | False |" in text
assert text.rstrip().endswith("> 样本太少")