For the source control tab I would like to be able to issue a commit without verification. This is currently not possible.

Summary

In R, the return statement is not strictly required in functions.

# this returns NULL
gives_nothing <- function(x, y){
    print(x)
    print(y)
}

# this returns the value of n
gives_sum <- function(x, y){
    n <- x + y
    n
}

This means that it can sometimes be difficult to understand, from looking at the code, what a function will return.

How

Hello,
I run following code in ch 1.11.19(debug)，and it will crash by an assertion.

let b = [1.1, 2.2, 3.3];
b[4294967294] = 3;
Array.prototype.copyWithin.call(b, 0, 1);

Crash output:

ASSERTION 7690: (/.../ChakraCore-1.11.19/lib/Runtime/Library/JavascriptArray.cpp, line 9309) direction == -1 || (fromVal + count < MaxArrayLength && toVal + count < MaxArrayLength)
 Failure: (d

Description

This may be considered a feature request rather than a bug, so change as necessary.

A YouTube video that has restrictions set won't play in a Xamarin.Forms WebView, with YouTube message saying "Video is unavailable." This occurs when the video is embedded in local HTML string, and no base url or an improper base url is provided to the HtmlWebViewSource. e.g.:

var brow

We have several errors/warnings that have a URL in the text of the message. After #5488 (thanks, @jmezac!) we'll have a structured way to represent this that will eventually (dotnet/project-system#6335) be used in the Visual Studio UI.

We should use that!

Likely candidates:

$ rg "fwlink|aka\.ms" -g *resx
src\Tasks\Resources\Strings.resx
683:    <

Description of the new feature

Our organization has approved only alpine based docker images to be used. Can we have alpine image also part of Microsoft official docker image with Azure Powershell Pre-Installed ? Any particular reason it is not already provided ?

I have raised this issue on docs as well. Not sure which is the right place to open up this issue.
https://github.com/MicrosoftD

I have a simple regression task (using a LightGBMRegressor) where I want to penalize negative predictions more than positive ones. Is there a way to achieve this with the default regression LightGBM objectives (see https://lightgbm.readthedocs.io/en/latest/Parameters.html)? If not, is it somehow possible to define (many example for default LightGBM model) and pass a custom regression objective?