su | su for android , replacement for superuser , never ask

It's easy to create a Pandas dataframe from a Python dictionary that contains lists. For example, the following code creates a dictionary containing ticker symbols, bid prices, and ask prices:

You can set a min-width on your

Flex will shrink all the way down with the browser, and min-width allows it still to shrink, but stop shrinking at a desired width.

What you are missing is that when you are calling searchFollowing(), React did not yet re-render, therefore location wouldn't be get updated. A way to do it is this :

This happens in @npmcli/promise-spawn

There are several issue with the Numba implementation. One of them is that parallel loops breaks the constant propagation optimization in LLVM-Lite (the JIT-compiler used by Numba). This cause critical information like array strides not to be propagated resulting in a slow scalar implementation instead of an SIMD one, and additional unneded instructions so to compute the offsets. Such issue can also be seen in C code. Numpy added specific macros so help compilers to automatically vectorize the code (ie. use SIMD instructions) when the stride of the working dimension is actually 1.

A solution to overcome the constant propagation issue is to call another Numba function. This function must not be inlined. The signature should be manually provided so the compiler can know the stride of the array is 1 at compilation time and generate a faster code. Finally, the function should work on fixed-size chunks because function calls are expensive and the compiler can vectorize the code. Unrolling the loop with shifts also produce a faster code (although it is uglier). Here is an example:

As @iravinandan said you need to set up a tunnel.

Publishing a port alone won't help as all incoming requests are going through an http proxy.

If you dig CNAME .githubpreview.dev you will see it's github-codespaces.app.online.visualstudio.com. You can put anything in the githubpreview.dev subdomain and it will still be resolved on the DNS level.

The proxy relies on HTTP Host header to route the request to correct upstream so it will work for HTTP protocols only.

To use any other protocol (MongoDb wire protocol in your case) you need to set up a TCP tunnel from codespaces to your machine.

At the time of writing the default Node + Mongo codespace uses Debian buster, so ssh port forwarding would be the obvious choice. In the codespace/VSCode terminal:

First, the basics: each process has a userid and a groupid (I am going to ignore supplemental attributes like additional groupids).

Userid 0 is root. That's it, end of story.

When you have a process whose userid is 0, it's a root process. End of story.

How a process acquires its userid 0 is immaterial. If a process's userid is 0, it is a root process, and that's it.

When you go through the motions of setting up a setuid process, that setuid(0)s itself, you're done. You're a root process. That's it. There's nothing more to say about it.

setsuid() and getuid() documentation and it doesn't seem like there is anything about password authentication.

Correct. All they do is adjust/update the userid. That's it. There's nothing more to it.

The su and sudo processes do the following:

1. They are setuid executables.

As you can see in strace, the execve command executes as: execve("/bin//nc", ["/bin//nc", "/bin//nc-e //bin/bash -nvlp 4455"], NULL) = 0 It seems to be taking the whole /bin//nc-e //bin/bash -nvlp 4455 as a single argument and thus thinks it's a hostname. In order to get around that, the three argv[] needed for execve() is pushed seperately. argv[]=["/bin/nc", "-e/bin/bash", "-nvlp4455"] These arguments are each pushed into edx, ecx, and ebx. since ebx needs to be /bin/nc, which was already done in the original code. we just needed to push 2nd and 3rd argv[] into ecx and edx and push it into stack. After that we just copy the whole stack into ecx, and then xor edx,edx to set edx as NULL.

Here is the correct solution:

You can rewrite the query by using CTE in order to prevent repeatedly writing FLOOR(MONTHS_BETWEEN(sysdate, u.birth_date) / 12) which and age aliased form of it will be used within the GROUP BY lists such as