Search Results for "tests"

...Many other features including automatic validation, serialization, interactive documentation, authentication with OAuth2 JWT tokens, etc. Celery worker that can import and use models and code from the rest of the backend selectively. REST backend tests based on Pytest, integrated with Docker, so you can test the full API interaction, independent on the database. As it runs in Docker, it can build a new data store from scratch each time.

...It's intended to be dropped in to and shipped with packages of other software for builds with SCons but not as a required install. - The scons-src package is the complete source tree, including everything we use to package SCons and all of the regression tests.

...It uses a small blog-style application to introduce fundamental web-development concepts. Learners work with HTTP requests, responses, routing, templates, forms, and application behavior through Flask. The project emphasizes writing tests alongside implementation rather than adding them only after features are complete. JavaScript is incorporated to extend the original tutorial beyond a purely server-rendered example. Deployment material helps connect local development with running the application in a real environment. The repository is intended as a guided learning project for developers new to Flask, testing, or web application development.

SageMaker TensorFlow Serving Container is an a open source project that builds docker images for running TensorFlow Serving on Amazon SageMaker. Some of the build and tests scripts interact with resources in your AWS account. Be sure to set your default AWS credentials and region using aws configure before using these scripts. Amazon SageMaker uses Docker containers to run all training jobs and inference endpoints. The Docker images are built from the Dockerfiles in docker/. The Dockerfiles are grouped based on the version of TensorFlow Serving they support. ...

...You deeply care about the quality of your work. cookiecutter-django-rest takes care of the details so you can focus on making your api awesome. Scaffolding a project takes seconds and it gives you authentication, user accounts, and the docs and tests to support them. Just add your own resources to the api and start shipping. Start off with full test coverage, continuous integration, and continuous deployment. Complete Django Rest Framework integration. Auto deployment to Heroku included. Also since we’re using containers we can easily deploy anywhere. Always current dependencies and security updates enforced by pyup.io. ...

Proctor is a tool for running unit tests for Python programs. It uses the standard unittest module, and provides a GUI and command line interface for finding and running all tests available in a package or set of packages.