ear | reliably detect the human language | Data Manipulation library

I hope you're doing well. I'm currently working on the upgrade of cypress to 7.0. (v7.4.0 more exactly) I have an issue with the overriding of intercept calls.

It seems that Cypress team worked on the overriding problem https://github.com/cypress-io/cypress/pull/14543 (issue : https://github.com/cypress-io/cypress/issues/9302), but it doesn't work for me.

BREAKING CHANGE: Request handlers supplied to cy.intercept are now matched starting with the most-recently-defined request interceptor. This allows users to override request handlers by calling cy.intercept again. This matches the previous behavior that was standard in cy.route.

My first call deals with 2xx responses (I mock it myself)

So I tried the methods that were mentioned in the previously asked similar question but none of them works for my python file. I have been on it for two days and can't seem to find a solution how to run this file from C# form on button click.

IronPython doesn't work because the python script has libraries that cannot be imported in Ironpython.

Running it from cmd doesn't work because cmd starts and then gets closed in a second.

Here's the code:

I have a basic e-commerce app for practice. There's a functional component called "Shop" which has two states:

I was assigned to work with ten year old legacy Java project which generates the following artifacts.

I have been trying to wrap my head around async and aiohttp with limited success lately and could use some help please.

I would like to fire off an API requests like clockwork with a small fixed length of time between them, let's just say 0.1s and we'll assume an api rate limit of 10 requests/second, using aiohttp. When the result comes back, I would like to perform a couple of checks on it, which if successful will terminate the function early.

Following some examples I found online, I have build the following script which almost does what I expect, except that the asyncronous http GET requests aren't actually being sent every 0.1s. They seem to be a bit slower, like 0.25s or 0.3s which is about the length that the request takes. This means its not offering any benefit over running it in serial. Could somone please point out where I can change the code to get the desired behaviour? I would also like to optimize it where possible since the GET requests will always be requesting the same endpoint and there might be optimisations to be made there, such as sharing the session object, for example.

Thanks

I'm not sure if the title makes sense, it was the best I could come up with, so here's my scenario.

I have an ASP.NET Core app that I'm using more as a shell and for DI configuration. In Startup it adds a bunch of IHostedServices as singletons, along with their dependencies, also as singletons, with minor exceptions for SqlConnection and DbContext which we'll get to later. The hosted services are groups of similar services that:

1. Listen for incoming reports from GPS devices and put into a listening buffer.
2. Parse items out of the listening buffer and put into a parsed buffer.

Eventually there's a single service that reads the parsed buffer and actually processes the parsed reports. It does this by passing the report it took out of the buffer to a handler and awaits for it to complete to move to the next. This has worked well for the past year, but it appears we're running into a scalability issue now because its processing one report at a time and the average time to process is 62ms on the server which includes the Dapper trip to the database to get the data needed and the EF Core trip to save changes.

If however the handler decides that a report's information requires triggering background jobs, then I suspect it takes 100ms or more to complete. Over time, the buffer fills up faster than the handler can process to the point of holding 10s if not 100s of thousands of reports until they can be processed. This is an issue because notifications are delayed and because it has the potential for data loss if the buffer is still full by the time the server restarts at midnight.

All that being said, I'm trying to figure out how to make the processing parallel. After lots of experimentation yesterday, I settled on using Parallel.ForEach over the buffer using GetConsumingEnumerable(). This works well, except for a weird behavior I don't know what to do about or even call. As the buffer is filled and the ForEach is iterating over it it will begin to "chunk" the processing into ever increasing multiples of two. The size of the chunking is affected by the MaxDegreeOfParallelism setting. For example (N# = Next # of reports in buffer):

• N3 = 1 at a time
• N6 = 2 at a time
• N12 = 4 at a time
• ...

• N6 = 1 at a time
• N12 = 2 at a time
• N24 = 4 at a time
• ...

• N12 = 1 at a time
• N24 = 2 at a time
• N48 = 4 at a time
• ...

• N24 = 1 at a time
• N48 = 2 at a time
• N96 = 4 at a time
• ...

This is arguably worse than the serial execution I have now because by the end of the day it will buffer and wait for, say, half a million reports before actually processing them.

Is there a way to fix this? I'm not very experienced with Parallel.ForEach so from my point of view this is strange behavior. Ultimately I'm looking for a way to parallel process the reports as soon as they are in the buffer, so if there's other ways to accomplish this I'm all ears. This is roughly what I have for the code. The handler that processes the reports does use IServiceProvider to create a scope and get an instance of SqlConnection and DbContext. Thanks in advance for any suggestions!

I have some troubles while trying to reproduce different frequencies using two different audio channels (left and right) in JavaScript. I've been searching in StackOverflow and Internet for a while, but I didn't find anything that could help me, so I decided to ask here for help.

Let me explain first why I'm doing this. There's a lot of people in the world that have tinnitus (an "illness" where you hear a specific frequency in an ear or in both). Sometimes, people sat that tinnitus is not a big trouble. The website is gonna allow the users to know how a "tinnitus person" hear. For accomplishing that, the audio must be different in both ears, so I need to send different frequencies in two different channel audio.

This is the code I already have, it reproduces a specific frequency in mono (full app here: replit.com/Tupiet/hearing):

Past few days I've been developing a commenting system UI using Quill and Github API and after the initial part's done (i.e. the comments loading) I'm working on the UI for the comments replies (also with QUill):