scallop | Ergonomic shell wrapper for Ruby | Application Framework library

I have around 70 categories (it can be 20 or 30 also) and I want to be able to parallelize the process using ray but I get an error:

I have two Tables like : Table1:

I have a modal that contains many different items(Menu items). I want to make it so when I click the heading of any specific menu item, another modal pops-up showing the image of said dish. The only issue I run into, is that I would have to create a ton of different modals for each item dish(15 of them). IS there a way I can create a function/loop fthem so they only access a soecific image attatched to said item? Should I create a seperate container for the images? Or add them to the item containers themselves and set the display to none?

Here is an example without much css or the JS with it? Any thoughts of the best way to tackle this?

When upgrading from KafkaStreams library from 2.3 to 2.5, keeping the same Scala version, it breaks when running with the following error:

I'm trying to figure out the best way to plot mean CPUE for the top 5 most abundant species by year. I was able to plot these all separately, but it requires a lot of code and gets messy and I can't figure out how to get them all on the same figure.

This is a subset of my data

I am working on an assignment where I am creating a webpage about sharks and I need to know how I can center my images. I have already tried the align attribute in my code and my images are still not centered. I would like the images to be in the center of the screen.

Here is my image code:

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Here are the images on the actual webpage:

enter image description here

Here is my code (if needed)

I am hoping someone on here has experience in training object detection models with tensorflow. I am a complete newbie, trying to learn. I ran through a few of the tutorials on the tensorflow site and am now going to try a real world example. I am following the tutorial here. I am at the point where I need to label the images.

My plan is to try to detect scallops, but the images I using have several scallops. Some I wouldn't really be able to tell were scallops are other than the fact I have context that they are likely a scallop because they are next to a mound of other scallops.

My questions are:

1. Am I better off cutting them out and treating them individually? Or labeling images that have several scallops
2. When labeling the scallops there are many that might look just like a round rock if I didn't have context of seeing other scallops. Should I still label them?
3. I am guessing I will also need to find some images with differing backgrounds???.

I know I can experiment to see how the models perform, but labeling these images is a labour intensive task, so I am hoping I can borrow from someones experience who has attempted something similar in the past. Example of one of the images that I am part way through labeling:

I'm having trouble with getting the data from an XML file because the parent and child nodes has the same name.

XML CODE: file name restaurant_reviews.xml

I have