Adnan Abdulmuttaleb
Adnan Abdulmuttaleb
@r4fek [this](https://stackoverflow.com/questions/64895604/how-aws-cognito-verify-the-identity-token-issued-by-my-own-idp/64952181#64952181) may help you, I added a question and answer.
I'm also having the same problem?
At least mention this unexpected behavior in the [docs](http://docs.mongoengine.org/apireference.html#mongoengine.Document.update)!
@stefanv one alternative to the `multiprocessing` module is [Ray ](https://github.com/ray-project/ray), also there is promising benchmarks [here ](https://towardsdatascience.com/10x-faster-parallel-python-without-python-multiprocessing-e5017c93cce1).
@stefanv also I think if there will be multiple persons working on paralleling different parts, then some implementation guide will be helpful.
@dschult I tried to fix the `reaching.py` as you suggested, but in order to make it completely consistent you have to call `_weight_function` in each function that use the `weight`...
Great, I will work on it. We may create a general parameterized decorator that work for any keyword argument `weight`, `capacity`..etc. I will submit PR soon hopefully.
After doing this initial draft a few question raised: 1. what is the meaning of `is_weighted` if weight now is always a function. 2. what is the expected behavior if...
Thank you for your response. All points are clear to me now, I will update ASAP.
@dschult I made an update: removed G parameter, applied `computed_attr` decorator only on functions that actually use the weight parameter. But still I have a question: There are some functions...