bolt | open source orchestration tool | Job Orchestrator library

I need your help because it's the first time that I develop a Slack bot and I don't understand why this message appear:

I'm trying to count the number of factory operators used to manufacture parts during a shift but I am double counting them as this example illustrates:

Machine Groups

• Group A : Machines 1 and 2, employing 3 operators per shift

• Group B : Machines 3 and 4, employing 2 operators per shift

Shift Output

So the total quantity of parts is correct but the total number of operators is incorrect as it should only be 5. Operators are being double-counted because they make 2 different parts.

I have tried using an implicit sum on the operators column and also a DAX sum

• Sum Operators = SUM(Production(Operators))

I have also tried with a matrix rather than a simple table but get the same result.

(There will not always be 2 items per shift. There could sometimes be 3 or 4)

I am trying to implement a task creation workflow using slack modal. The task creation workflow sometimes takes more than 3 seconds to execute and come up with the result. So, based on the documentation, I called await ack() to acknowledge at the beginning of the workflow but ack() is not sending the acknowledgement response at the beginning of the workflow. Instead, it is waiting for the workflow to complete and is then sending the acknowledgement response.

To test this, I replaced the workflow with a sleep statement and called the ack() function with an await statement before the sleep. This code fails to acknowledge within 3 seconds. So, the slack app shows an error message enter image description here

I have created a slack bot using Bolt, and am trying to create a home page for it. I have subscribed to the app_home_opened event and am publishing the view and getting a successful response, however the home page just spins in slack for a few seconds before saying "This is still a work in progress". I have another slack app which works fine and I can't figure out what the difference between the two apps could be.

Here's my code:

I want to capture only the logs that hold the values of "Zero tolerance", "bolt from the blue", "A change is as good as a rest" inside. I've tried with this but it doesn't work it only captures the first one. /description=(?Zero tolerance | bolt from the blue | A change is as good as a rest)

Have in mind that the strings to check needs to be provided by me.

Is it possible to connect to AuraDB with neomodel?

AuraDB connection URI is like neo4j+s://xxxx.databases.neo4j.io.
This is not contained user/password information.

However, connection config of neomodel is bolt and it is contained user/password information.
config.DATABASE_URL = 'bolt://neo4j:password@localhost:7687'

I sent data to my ListView, and can print it in console. The problem is that i can't update any values with this data, so can't also update UI with it. My app should take a city name which String - put it to fetchWeather() func, download data and do all stuff, and after this start getWeather() func in in ListView and update values (city), which i use in UI.

Code:

WeatherMenager:

I wanted to read the Electronics json.gzip file from the list of available Amazon datasets: http://jmcauley.ucsd.edu/data/amazon/qa/

JSON sample:

I'm using the CIFAR-10 pre-trained VAE from lightning-bolts. It should be able to regenerate images with the quality shown on this picture taken from the docs (LHS are the real images, RHS are the generated)

However, when I write a simple script that loads the model, the weights, and tests it over the training set, I get a much worse reconstruction (top row are real images, bottom row are the generated ones):

Here is a link to a self-contained colab notebook that reproduces the steps I've followed to produce the pictures.

Am I doing something wrong on my inference process? Could it be that the weights are not as "good" as the docs claim?

Thanks!