dill | Cloud ready L4 TCP proxy with first-class support | Proxy library

I'm trying to create a Unet for semantic segmentation.. I've been following this repo that has the code from this article. I'm using the scene parsing 150 dataset instead of the one used in the article. My data is not one-hot encoded so I'm trying to use sparse_categorical_crossentropy for loss.

This is the shape of my data. x is RGB images, y is 1 channel annotations of categories (151 categories). Yes, I'm using just 10 samples of each, just for testing, this will be changed when I can actually get it to start training.

I am trying to run a beam job on dataflow using the python sdk.

My directory structure is :

I'm pretty new to Python, this question probably shows that. I'm working on multiprocessing part of my script, couldn't find a definitive answer to my problem.

I'm struggling with one thing. When using multiprocessing, part of the code has to be guarded with if __name__ == "__main__". I get that, my pool is working great. But I would love to import that whole script (making it a one big function that returns an argument would be the best). And here is the problem. First, how can I import something if part of it will only run when launched from the main/source file because of that guard? Secondly, if I manage to work it out and the whole script will be in one big function, pickle can't handle that, will use of "multiprocessing on dill" or "pathos" fix it?

Thanks!

I have a production code to test (code_to_test) presented which requires me to mock the test of loading of pickle file to do some validations further.

I am working on a project in which I need to post a new Course to my API. I tested this with POSTMAN and API works just fine, however when I try to post data using react fetch data is corrupted. While sending single strings like dishName: "pizza" works just fine and is shown in database I cannot manage to send an array of objects. I tried to do it in many ways like:

I have a dataframe like this:

while installing tensorflow-datasets in anaconda, using CMD.exe Prompt of anaconda navigator, I am getting the message: packages will be SUPERSEDED by a higher-priority channel

Upgraded my flutter to V2, tried to get the default app running on my Android device! no luck!

What I've done up to now:

1. switched from Beta channel to stable
2. ran flutter upgrade again
3. got flutter doctor [all was fine]
4. tried to run [failed, many times]
5. tried flutter clean
6. cleared the gradle cache, no luck
7. tried to build again, it failed

============================ here is flutter doctor -v

Use case - I am taking python code created in another system, and breaking it up into individual functions and connecting them together. The entire point of this work is to break up large python functions that we did not write into smaller python functions for many business reasons.

I COULD take the code, parse for variables, and arbitrarily put them in a dict when doing this, but that is more than a teeny bit of work, and I'd like to run this to ground before I do.

I understand we should almost never but I need to because I am code generating wrappers for functions I did not write, I need to dynamically create variables inside a function. I also can't use exec because the value could be a complex structure (e.g., a dict).

So, the point of what we're doing is to ask the original authors to make no changes to the incoming code while still executing it across several independent entities.

Just like in the example listed here - we're capturing as much state as we can with the first exit (ideally functions, lambdas and all variables), and re-instating them in the second function so that two functions which formerly had the same scope and context can execute with no changes.

Here is a single block of reproducible code (everything not related to b is code that I can use to wrap the assignment:

Original: