关于Python代码的一个简单计算的确奇怪的问题。

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英文:

Really weird issue for a simple calculation with Python code

问题

我有以下两个函数用于进行一些简单的物理计算。

def force(r):
    if r == 0:
        return 0
    else:
        return 1/r**13 - 1/r**7

def calculate_forces_and_positions(x, l):
    n = len(x)  # 当前点的数量
    forces = np.zeros_like(x)
    # 计算力
    for i in range(n):
        left_neighbour =  (x[i] - x[i-1]) / l[i] if i > 0 else x[i] / l[i]
        right_neighbour = (x[i+1] - x[i]) / l[i] if i < n - 1 else 0
        forces[i] = -force(right_neighbour) + force(left_neighbour)
        print(f"n= {i} and L ={left_neighbour}  R = {right_neighbour} Force{i} = {forces[i]} force-R = {force(right_neighbour)} force-L= {force(left_neighbour)}")
    # 计算位置
    print(forces)
    x_new = x + dt * forces
    return forces, x_new

然后我传入 x[1,2,3] 和 l[1,1,1]。令人惊讶的是,我得到以下输出:

n= 0 and L =0.9900990099009901  R = 0.9900990099009901 Force0 = 0 force-R = 0.06595792832627945 force-L= 0.06595792832627945
n= 1 and L =0.9900990099009901  R = 0.9900990099009901 Force1 = 0 force-R = 0.06595792832627945 force-L= 0.06595792832627945
n= 2 and L =0.9900990099009901  R = 0 Force2 = 0 force-R = 0 force-L= 0.06595792832627945

所以对于 n = 2,Force2 = 0,但明显应该是 force-R + force-L = 0.06。我不知道问题出在哪里,感到非常困惑。我该如何修复它?

英文:

I have the following two functions to do some simple physics calculation.

def force(r):
    if r == 0:
        return 0
    else:
        return 1/r**13 - 1/r**7

def calculate_forces_and_positions(x, l):
    n = len(x)  # Current number of points
    forces = np.zeros_like(x)
    # Calculate forces
    for i in range(n):
        left_neighbour =  (x[i] - x[i-1]) / l[i] if i &gt; 0 else x[i] / l[i]
        right_neighbour = (x[i+1] - x[i]) / l[i] if i &lt; n - 1 else 0
        forces[i] = -force(right_neighbour) + force(left_neighbour)
        print(f&quot;n= {i} and L ={left_neighbour}  R = {right_neighbour} Force{i} = {forces[i]} force-R = {force(right_neighbour)} force-L= {force(left_neighbour)}&quot;)
    # Calculate positions
    print(forces)
    x_new = x + dt * forces
    return forces, x_new

Then I pass x[1,2,3] and l[1,1,1]. Surprisingly, I get this output:

n= 0 and L =0.9900990099009901  R = 0.9900990099009901 Force0 = 0 force-R = 0.06595792832627945 force-L= 0.06595792832627945
n= 1 and L =0.9900990099009901  R = 0.9900990099009901 Force1 = 0 force-R = 0.06595792832627945 force-L= 0.06595792832627945
n= 2 and L =0.9900990099009901  R = 0 Force2 = 0 force-R = 0 force-L= 0.06595792832627945

So for n = 2 Force2 = 0, but it is clearly force-R + force-L = 0.06. I don't know where things go wrong and I am really confused. How can I fix it?

答案1

得分: 3

np.zeros_like创建了一个int64数组。在你的示例中,当你将0.06转换为整数时,得到的是零。如果你想要浮点数,需要指定dtype

forces = np.zeros_like(x, dtype=float)

输出:

n= 0 和 L =0.9900990099009901  R = 0.9900990099009901 Force0 = 0.0 force-R = 0.06595792832627945 force-L= 0.06595792832627945
n= 1 和 L =0.9900990099009901  R = 0.9900990099009901 Force1 = 0.0 force-R = 0.06595792832627945 force-L= 0.06595792832627945
n= 2 和 L =0.9900990099009901  R = 0 Force2 = 0.06595792832627945 force-R = 0 force-L= 0.06595792832627945

另外,作为一项附注,你没有传递l[1,1,1],而是传递了[1.01,1.01,1.01]

英文:

np.zeros_like is creating an int64 array. In your example, when you convert 0.06 to an integer, you get zero. You need to specify the dtype if you want floats.

    forces = np.zeros_like(x, dtype=float)

Output:

n= 0 and L =0.9900990099009901  R = 0.9900990099009901 Force0 = 0.0 force-R = 0.06595792832627945 force-L= 0.06595792832627945
n= 1 and L =0.9900990099009901  R = 0.9900990099009901 Force1 = 0.0 force-R = 0.06595792832627945 force-L= 0.06595792832627945
n= 2 and L =0.9900990099009901  R = 0 Force2 = 0.06595792832627945 force-R = 0 force-L= 0.06595792832627945

And, as a side note, you are not passing l[1,1,1]. You are passing [1.01,1.01,1.01].

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  • 本文由 发表于 2023年6月2日 04:29:46
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