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因为单侧测试可以从双侧退出 测试. (对于对称分布，单侧p值仅为一半 两侧pvalue的值)

because the one-sided tests can be backed out from the two-sided tests. (With symmetric distributions one-sided p-value is just half of the two-sided pvalue)

接着说，scipy总是将测试统计信息视为已签名.这意味着给定两尾检验的p和t值，您将拒绝p/2 < alpha and t > 0时大于检验和p/2 < alpha and t < 0时小于检验的零假设.

It goes on to say that scipy always gives the test statistic as signed. This means that given p and t values from a two-tailed test, you would reject the null hypothesis of a greater-than test when p/2 < alpha and t > 0, and of a less-than test when p/2 < alpha and t < 0.