小编MrR*_*bot的帖子

有没有支持在Python环境下的VSCode中自动实现抽象类的所有抽象方法？

class AbstractClass(ABC):

    @abstractclass
    def abstract_method():
        pass

class NonAbstractClass(AbstractClass):

    # shortcut in vscode to implement all abstract methods
    # it works if I start writing methods and then it autocompletes, that is not what I am looking for

<div id="firstRow">
    <div id="one">AAA</div>
    <div id="two"><input style="width: 100%" type="search"></div>
    <div id="three">AAAAAA</div>
</div>

我有三个div.

• 我想浮动divid one到左边.宽度div一取决于其内容.
• 我想浮动div三个自动宽度,也取决于其内容.
• 我希望div带有id的两个占用所有剩余的空间.

我用桌子做了但是我想用divs

<table>
    <tr>
        <td id="one">AAAAAAAAAAAAAAAAAAAAA</td>
        <td id="two"><input style="width: 100%" type="search"></td>
        <td id="three">AAAAAA</td>
    </tr>
</table>

table {
    width: 100%;
}

#one 
    width: auto;
    height: 20px;
    background-color: red;
}

#two{
    width: 100%;
    height: 20px;
    background-color: orange;
}

#three {
    width: auto;
    height: 20px;
    background-color: green;
}

I have an array (distribution) and I want to make this distribution in some range a and b, this is done in R by using the function qunif, I want to do it in Python and it gives different results:

R

a <- c(0.012701112, 0.131852757, 0.230918602, 0.382584686, 0.422162992,
       0.553339539, 0.64807742, 0.735555988, 0.813598841, 0.975585224)
b <- qunif(a, -4, 4)

b
# -3.8983911 -2.9451779 -2.1526512 -0.9393225 -0.6226961 
# 0.4267163  1.1846194  1.8844479  2.5087907  3.8046818

Python

import scipy.stats as stats

a = …

我在 Python 中有以下脚本。我正在计算数组的傅立叶变换。当我想绘制结果（傅立叶变换）时，我使用的是该计算的绝对值。但是，我不知道复数的绝对值是如何产生的。有谁知道它是如何计算的？我需要这个在 Java 中重现。

import numpy as np
import matplotlib.pyplot as plt
from numpy import fft

inp = [1,2,3,4]

res = fft.fft(inp)

print(res[1]) # returns (-2+2j) complex number

print(np.abs(res[1])) # returns 2.8284271247461903