And it's hard to imagine a simpler program than this. So we very quickly realize that exhaustive testing is just never feasible for an interesting program.
更简单的程序了,因此我们很快的意识到,对一个程序来说详尽的,测试是永远不可行的。
Now, if that potential changed and it stayed changed forever, then the cell would never go back to its resting state.
如果电势变化并且不再恢复到原始电势,细胞就永远不会回到静息状态
I used to read it, but I could never get through it--terrifying.
我从前有读到这些,但我永远也读不下去,太残忍了
So again, if we think of a graph of the wave function, we had the wave function is at its highest amplitude when it's lined up with the nucleus, and then as we got further away from the nucleus, the amplitude of the wave function ends up tapering off until it never hits zero exactly, but it goes down very low.
同样,如果我们想象一幅波函数的图,波函数在原子核的位置上,有着最高的振幅,随着与原子核距离变远,波函数振幅逐渐变小直到,它永远不会到零,但它会变得很小。
It looks like we hit zero, but we actually don't remember that we never go all the way to zero, so there's these little points if we were to look really carefully at an accurate probability density plot, And then, for example, how many nodes do we have in the 3 s orbital?
但其实没有,记住,我们永远不会到零,如果我们,在概率密度图上,非常细致的看这些点的话,它永远不会到零,在3s轨道里,有多少个点呢?,2个,正确?
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