在这个例子中,我们可以看到,通过使用np.assert_almost_equal()方法,如果两个值不等于一个精度值,我们就能通过这个方法得到断言错误。 # import numpy and assert_almost_equalimportnumpyasnpimportnumpy.testingasnpt# using np.assert_almost_equal() methodgfg=npt.assert_almost_equal(1.2222222222,1.2222222222,decim...
>>>importnumpyasnp>>>print(np.version.version)# 1.11.1>>>a=np.ma.array([1.1,2.0,3.0],mask=[False,True,False])>>>b=np.ma.array([1.2,2.2,3.1],mask=[True,False,False])>>>print(a)# [1.1 -- 3.0]>>>print(b)# [-- 2.2 3.1]>>>np.testing.assert_equal(a,b)/opt/anaconda/...
<type 'exceptions.AssertionError'>: Arrays are not almost equal <BLANKLINE> (mismatch 50.0%) x: array([ 1. , 2.33333333]) y: array([ 1. , 2.33333334]) assert_approx_equal(actual, desired, significant=7, err_msg='', verbose=True) Raise an assertion if two items are not equal up ...
在A项目配置面板中Post-build Actions选项中选择Trigger parameterized build on other projects 我选择...
摘要: We discuss the question of Ralf-Dieter Schindler whether for infinite time Turing machines P-f = NPf can be true for any function f from the reals into w(1). We show that "almost everywhere" the answer is negative.年份: 2003 ...