python data_error ai_generated true

AssertionError: 数组不相等（不匹配率 100.0%）x: array([nan]) y: array([nan])

AssertionError: Arrays are not equal (mismatch 100.0%) x: array([nan]) y: array([nan])

ID: python/numpy-nan-comparison

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80%修复率
87%置信度
0证据数
2024-06-05首次发现

版本兼容性

版本状态引入弃用备注
3.x active — — —

根因分析

np.testing.assert_array_equal 默认将 NaN == NaN 视为 False。也会影响基于 NaN 比较构建的布尔掩码。

English

np.testing.assert_array_equal treats NaN == NaN as False by default. Also affects boolean masks built from NaN comparisons.

generic

解决方案

  1. 95% 成功率 
    np.testing.assert_array_equal(a, b, strict=False) or use np.testing.assert_allclose(a, b, equal_nan=True)
  2. 90% 成功率 
    mask = (a == b) | (np.isnan(a) & np.isnan(b)); assert mask.all()

无效尝试

常见但无效的做法:

  1. 90% 失败

    Also returns False for NaN

  2. 90% 失败

    NaN != NaN, returns False