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tutorial/floatingpoint.po

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"<http://www.lahey.com/float.htm>`_ for a more complete account of other "
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"common surprises."
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msgstr ""
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"二进制浮点运算会造成许多这样的“意外”。 有关 \"0.1\" 的问题会在下面的“表示性错误”一节中更详细地描述。 请参阅 `浮点数的危险性 "
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"<http://www.lahey.com/float.htm>`_ 一文了解有关其他常见意外现象的更详细介绍。"
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#: ../../tutorial/floatingpoint.rst:139
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msgid ""
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"decimal arithmetic and that every float operation can suffer a new rounding "
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"error."
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msgstr ""
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"正如那篇文章的结尾所言,“对此问题并无简单的答案。” 但是也不必过于担心浮点数的问题! Python "
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"浮点运算中的错误是从浮点运算硬件继承而来,而在大多数机器上每次浮点运算得到的 2\\*\\*53 数码位都会被作为 1 个整体来处理。 "
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"这对大多数任务来说都已足够,但你确实需要记住它并非十进制算术,且每次浮点运算都可能会导致新的舍入错误。"
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#: ../../tutorial/floatingpoint.rst:146
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msgid ""

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