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This TCP problem has been bothering me for a long time, but because it is difficult to simulate package loss in the local experimental environment(the local network speed is so fast that it is difficult to lose packages), I have not been able to find the answer.

My problem is that I want to implement an RPC between two processes based on the TCP protocol. The most efficient way is to establish a connection once and then this connection can be used again and again, so I don't have to repeat the process of three times handshakes and four times breakups. However, during my implementation, the packages received by the server were often mixed with multiple requests and they were not isolated, which caused problems for my design.

As we all know, after a connection has been established, if my client calls socket.sendall(A), in which we assume that A is a package of 40KB in length containing the details of the request. Because the package content is too long, let's assume that the kernel automatically splits this package into 10 packages and sends them out in 10 times. We all know that due to the reliable behavior of TCP connections, if the ninth of the ten packages happens to be missing during transmission (and assume the client program happens to be dead right after all package were sent, so that re-send is not possible), then the application layer of the server side will only read the contents of the first eight packages and will not get the tenth package even if it was properly revieved.

My question is, if the client sends two requests in sequence

im trying to use my python app to transcribe multiple files in a folder and speed up the process. At present I am able to do it one file at a time -

I'm acquiring PCM raw bytes with new AudioContext({ sampleRate: 16000 }) (note, I'm using Chrome, which supports the sampleRate option), and I'd like to convert the resulting array into a DataView object.

My current code is the following, in the stop method I read the left channel and store it as an array of Float32Arrays.

I have a dataset with booking hotels. date_in has format "yyyy-MM-dd". I need select top 10 the most visited hotel by month.

I have the following regular expression:

I have a transaction table t1 in Hive that looks like this:

Hy, I am using a spreadsheet template, to calculate the Franchise Fee and Market Fee on each sale. The idea is that I will pay the franchise fee onetime, either in multiple sales or in a single sale and the total franchise fee should be only $3000, not less or greater when the fee will $3000, I will not bound to pay franchise fee on other sales. This scenario is the same for the market fee, but the market fee which I will pay is $20,000, and if I paid this fee in single or multiple sales, after this, I will not bound to pay this fee. I am trying it to solve it using the formula below but it is not giving me the exact amount. It is exceeding the limit.

I have some vanilla JavaScript that changes the innerHTML of a div and then runs a computationally heavy loop. Right now it freezes the browser and doesn't show any updated stuff until it finishes everything.

Instead I'd like to force a redraw immediately after I change the innerHTML and breakup the loop into individual steps that doesn't freeze the browser.

I tried putting the loop into a setTimeout with a value of 1, but that didn't do anything. It did seem to work (in Chrome at least) with a timeout of at least 100ms, but that causes a noticeable delay.

I also tried some other things to force a redraw (like this and some of these) but it didn't work.

I also tried to split the loop into individual steps but again had issues with the timeout time as well as performing an iterated variable through a timeout function.

My data looks like this: