channel3 | ESP8266 Analog Broadcast Television Interface

This is a complex bug I have been having for a few weeks and I don't know how to fix it. I have a thermistor array plugged in the four first analog pins and they are returning a temperature on a Python script that communicates with the Arduino on a serial port. Here is the Arduino code:

I read data from a Q and pass to executor channel to process. No the transaction scope with main thread will not work. How can i can create a transaction from executor channel which has multiple direct channels downstream. Here is the config

I have a multithreading project where I read a message from a queue and pass it to spring integration to process it. Each messages goes though diff channel end up storing in DB and sending to downstream Qs.

I have requirement where i need to pass message to multiple channels asyc. To make my flow asyc i am using all executor channel. But for some reason flow is still sequential. i can seen diff thread as i configured in task executor but in sequence. Here is the configuration I am using

I'm making a discord bot in python right now and wanted to add a feature that deletes all the channels in a guild that are in a list of channel names. I tried going trough all the channels that are stored in the "ctx.message.guild.channel" list and check if they are in my channel_names list but it doesn't find the channel so nothing happens. Thanks for helping me already!

I have a ticket system and with this also tickets can be created on reaction. However, you can press the reaction as many times as you want and new channels keep coming. How can I prevent this?

My code:

I am creating a simple application for my android tv box, which uses a webview object to show some streaming urls and choose beetween them with PGup and PGdown of a remote control (an hardware keyboard).

I am overriding method onKeyUp, but unfortunately my app seem not to detect any key press. This is some code excerpt:

I am working with a big dataset on ADX, where I need to unstack rows of data and convert them into columns. The uniqueID in the data is formed by combining three fields: a group, a timestamp and a name.

I have an enum that would go as follows;