oz | behavioral web-ui testing framework | Unit Testing library

So, I collected data from 21 participants with 16 EEG channels and I extracted the Gamma band. My current dataframe looks like this ([336 rows x 2 columns]):

Now I want to transpose it in such a way, that I have the gamma values for each channel in one column. Like this:

when I just transpose the dataframe, then I get one row with all channels next to each other:

I looked at pd.melt but I can't figure it out. Can someone help?

Thank you in advance!

I looked up how can I run silently selenium: found the next great answer here

I am trying to let selenium run regular until some action is completed and then run it in the background.

Is it possible?

thanx in advanced Oz

I intend to develop my smart contracts in Hardhat, and to test them on RSK regtest local node. I was able to find a Truffle regtest configuration.

I have a trained OCR model that reads specific fonts. Some of these fonts have identical-appearing characters like 1's and capital i's, and so occasionally when wordlist predicting fails, I'll get inappropriate I's where 1's should be and 1's where I's should be.

In my case, I know that there should never be...

• a 1 within a string; e.g, 1NDEPENDENCE DAY
• an I within an integer; e.g, 45I OZ
• an I next to certain special characters like %, +, and -; e.g, I% OFF TEMP: -I DEGREES
• a solitary I--these will all be 1's; e.g, TIME: I TO 5 PM
• consecutive I's; e.g. II A.M.

This is my 1st attempt which addresses some of these cases, but I'm sure there's a more efficient way to do this. Maybe looping over list of regex expressions with re.sub)?

I have a list of lists in JSON format like the following. I need to convert these lists into DropDownMenu items in Flutter. To do that,

1. Read the data from the JSON file
2. Convert the data to an available class format(FormContent class)
3. Create a Future that returns a list of FormContent.
4. Read the data inside the FutureBuilder
5. Convert the list of FormContent into a List of Strings that DropDownMenu could accept

At the end where I print the first item of the items, I get Instance of 'FormContent' as a result of this execution(I marked it in the FutureBuilder widget, below). What I was expecting is the list of "stajTuru" in the JSON file.

["Ortopedi", "Kardiyoloji","Dermatoloji", "Pediatri"]

Since there is a nested list format. I tried to execute print(items[0][0].toString()); to get the first item's content. However, I get an error like this

I am building a Create a Recipe form using crispy forms and I am trying to use a datalist input field for users to enter their own ingredients, like 'Big Tomato' or select from GlobalIngredients already in the database like 'tomato' or 'chicken'. However, regardless of whether I enter a new ingredient or select a pre-existing one, I am getting the following error: "Select a valid choice. That choice is not one of the available choices.". How do I fix this error?

Visual:

models.py

I previously used the code below to scrape the search result for a word search, for example book, on https://www.walmart.com/. They have currently changed their request and response parameters and this code does not get any response again.

I'm trying to use the CallerArgumentExpression attribute, in conjunction with the suggestion for validating records found here, but the expression is always null. I am doing this in a .NET6 Core console application. The exact same code works fine in LinqPad 7 (.NET6).

I have a base record that contains common validation methods (pretty much copied from that other answer)...

Hi I'm new to programming and I am building a recipe website to learn, what I am struggling with though is how to handle recipe ingredients? I would like to do the following:

• Have global recipe ingredients i.e. common ingredients, chicken, beef etc.
• Allow users to create their own ingredients (for that user only) i.e. big tomato
• Attach ingredients to a recipe regardless of if they are global or user created
• Allow users to add ingredients to their pantry and how much of the ingredient they have in stock

What I think the models would like is below, but I'm not sure if this is correct or the best method, any advice appreciated.

recipe/models.py