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问题 This question already has answers here : .NET Core: Finally block not called on unhandled exception on Linux (2 answers) What are the uses of “using” in C#? (29 answers) Closed 3 months ago . A simple console application, in Visual Studio 2019, .Net Framework 4.7, Windows: static void Main(string[] args) { try { Console.WriteLine("In try"); throw new IndexOutOfRangeException(); } finally { *// Surprisingly this part is not being executed.* Console.WriteLine("In finally"); Console.ReadLine();

问题 This is my first post on SO, so please feel free to correct me if I'm doing anything wrong! I am making a simple GUI for my Raspberry Pi (that runs Raspbian stretch) on Windows (because I can use PyCharm on there). I am would like to install third party themes from this site and have followed the instructions on the wiki. However, on both Windows and Raspbian, it appears to install properly without any errors, but when I check for ttk by doing this: import tkinter.ttk tkinter.ttk.Style()

问题 I have a parent componenet, Inside this I have included a child component with props. but When any state is changed in parent component (that doesn't related to child component) then child component re-render. I don't want this re render on every state change. Can we stop? import React, { useState } from "react"; import ReactDOM from "react-dom"; import Child from "./child"; import "./styles.css"; function App() { const [any_state, setAnyState] = useState(false); const handleClick = () => {

问题 I want to create a Serilog Enricher injecting some data from a dependency. How can autofac inject my dependency into an enricher? This is my container setup: builder.Register((c, p) => { return new LoggerConfiguration() .Enrich.FromLogContext() .Enrich.With<MyEnricherWhichCanAddMoreDataFromADependency>() // ... .CreateLogger(); }).As<ILogger>(); While the enricher would look something like public class MyEnricherWhichCanAddMoreDataFromADependency : ILogEventEnricher { public

问题 I've got a dataframe with projects, start dates, and end dates. For each row I would like to return the number of other projects in process when the project started. How do you nest loops when using df.apply() ? I've tried using a for loop but my dataframe is large and it takes way too long. import datetime as dt data = {'project' :['A', 'B', 'C'], 'pr_start_date':[dt.datetime(2018, 9, 1), dt.datetime(2019, 4, 1), dt.datetime(2019, 6, 8)], 'pr_end_date': [dt.datetime(2019, 6, 15), dt.datetime

问题 I want to create a Serilog Enricher injecting some data from a dependency. How can autofac inject my dependency into an enricher? This is my container setup: builder.Register((c, p) => { return new LoggerConfiguration() .Enrich.FromLogContext() .Enrich.With<MyEnricherWhichCanAddMoreDataFromADependency>() // ... .CreateLogger(); }).As<ILogger>(); While the enricher would look something like public class MyEnricherWhichCanAddMoreDataFromADependency : ILogEventEnricher { public

问题 I'm trying to create a scatter plot with second degree polynomial regression line using ggplot:stat_smooth. Here are the codes: df.car_spec_data <- read.csv(url("http://www.sharpsightlabs.com/ wp- content/uploads/2015/01/auto-snout_car-specifications_COMBINED.txt")) df.car_spec_data$year <- as.character(df.car_spec_data$year) df.car_spec_data %>% group_by(year) %>% summarise(maxspeed=max(top_speed_mph, na.rm=T)) %>% ggplot(aes(x=year, y=maxspeed, group=1))+geom_point(color='red', alpha=0.3,

问题 I keep reading documentation that gives parameters for kube-proxy, but does not explain how where these parameters are supposed to be used. I create my cluster using az aks create with the azure-cli program, then I get credentials and use kubectl. So far everything I've done has involved yaml for services and deployments and such, but I can't figure out where all this kube-proxy stuff fits into all of this. I've googled for days. I've opened question issues on github with AKS. I've asked on

问题 I want to filter the rows of a dataframe that contains values less than ,say 10. import numpy as np import pandas as pd from pprint import pprint df = pd.DataFrame(np.random.randint(0,100,size=(10, 4)), columns=list('ABCD')) df = df[df <10] gives, A B C D 0 5.0 NaN NaN NaN 1 NaN NaN NaN NaN 2 0.0 NaN 6.0 NaN 3 NaN NaN NaN NaN 4 NaN NaN NaN NaN 5 6.0 NaN NaN NaN 6 NaN NaN NaN NaN 7 NaN NaN NaN 7.0 8 NaN NaN NaN NaN 9 NaN NaN NaN NaN Expected: 0 5 57 87 95 2 0 80 6 82 5 6 33 74 75 7 71 44 60 7

问题 I am trying to automate a task where I have to continuously do left mouse click on an hand icon. I am able to do that on a set time frame, for example 32 sec and 756 ms but I need to do this with a random timeframe. For example if we can add 2-3 seconds after each left mouse click. Can anyone guide me how to make the click interval random? I am using Chrome. setInterval(function(){ $( "[id^='hand_'].handIcon").trigger('click'); }, 32756); 回答1: Even if you use a Math.random at the setInterval,