#swift#ci#cli#generator#specification#swift#xcode#xcodeproj#xcodeproject#yaml
XcodeGen is a Swift command-line tool that automatically creates your Xcode project based on your folder structure and a simple YAML or JSON configuration file. This means you don’t have to manually manage your Xcode project files, avoiding merge conflicts in Git and keeping your project files always in sync with your folders. It supports complex setups, multiple targets, build settings, and schemes, and works well with CI systems. Using XcodeGen saves you time, reduces errors, and makes collaboration easier by letting you generate and update projects on demand without opening Xcode manually. This helps you focus more on coding and less on project setup.
https://github.com/yonaskolb/XcodeGen
http://pybit.es/codechallenge11.html
Inspired by David Beazley's #Generator Tricks for Systems Programmers we ask you to turn the following unix #pipeline into Python code using generators. To get a bunch of .py files you can use our challenges repo you cloned. Or use a project of your own.
Note that in our experience one subprocess is not necessarily one generator, for example 'sort|uniq|sort' can be easily combined into one, as well as 'grep|sed'. See our template if you need guidance.
https://docs.python.org/3/library/asyncio-task.html#asyncio.coroutine
@asyncio.#coroutine
#Decorator to mark #generator-based coroutines. This enables the generator use yield from to call async def coroutines, and also enables the generator to be called by async def coroutines, for instance using an await expression.
There is no need to decorate async def coroutines themselves.
If the generator is not yielded from before it is destroyed, an error message is logged. See Detect coroutines never scheduled.
Note
In this documentation, some methods are documented as coroutines, even if they are plain Python functions returning a Future. This is intentional to have a freedom of tweaking the implementation of these functions in the future. If such a function is needed to be used in a callback-style code, wrap its result with ensure_future().
Random Face Generator
A Cross-Platform app to Generate Faces of (non-existing) People
Random Face Generator is a flutter app to generate random faces. The Generated faces do not actually exist in real life.This app uses the thispersondoesnotexist and the fakeface API.
Each image has been pre-analyzed by an AI algorithm called pypy-agender to identify the gender and age.
Download - https://github.com/adityar224/Random-Face-Generator/releases
https://github.com/adityar224/Random-Face-Generator
#Face#Generator#AI
@foss_Android
https://github.com/safarijv/kubelib
If you're adopting Kubernetes as an orchestration system for #machine_learning jobs, the last thing you want is for the mere act of using Kubernetes to create more problems than it solves. Kubelib provides a set of Pythonic interfaces to #Kubernetes, originally to aid with Jenkins scripting. But it can be used without Jenkins as well, and it can do everything exposed through the kubectl #CLI or the Kubernetes #API.