semvec/pypi-packages huggingface dataset:
pytest-integration 0.2.3
Organizing pytests by integration or not
Requires Python: >=3.6

pytest-integration
==================

Overview
--------
Plugin for [pytest](https://pypi.org/project/pytest/) to mark tests as
integration or slow integration.

Integration tests are run after normal tests (unit tests) and
slow integration tests are run after (quick) integration tests.

If a unit test fails, (quick) integration and slow integration tests are not run.

If a (quick) integration tests fails, slow integration tests are not run.

If you have also installed [pytest-cov](https://pypi.org/project/pytest-cov/),
then code coverage is disabled for all integration tests, since unit tests
are supposed to cover all the code.

Added pytest markers
--------------------------
- `@pytest.mark.integration_test` Marks this test as a (quick) integration test
- `@pytest.mark.slow_integration_test` Marks this test as a slow integration test

Added pytest command line options
--------------------------
- `--with-integration` Run (quick) integration tests (default)
- `--with-slow-integration` Run slow integration tests (default)
- `--integration-cover` Let integration tests contribute to coverage

`with` options also have a `without` variant.

Example
-------
See the example directory. Examples of how to run are in the Makefile.

Compatibility
-------------
- When running under xdist, each node will pick tests based on an index. That
  means that nodes that receive only unit tests that pass, will continue to run
  (slow) integration tests, even if another node receives a unit test that
  fails.
ml-mosaic 0.0.4
Mosaic is a framework dedicated to the comparison of AI models.
Requires Python: >=3.8

#MOSAIC Models for AI comparator

Mosaic is a framework dedicated to the comparison of AI models. It is often very
 difficult to choose the best AI model for a specific problematic and multiple o
ptions are available, including choices over the model hyper-parameters. It is t
empting to try different options and to compare them to get the best performance
/resource ratio. But this kind of test can be pretty time consuming from the dev
elopper point of vue. The Mosaic framework eases the automation of the program g
eneration and provides tools to help the study (Database, plot system…)

Mosaic is a python framework based on Pytorch. From a simple configuration file,
 a set of pipelines is generated including all the steps of the data treatment (
data loading, formatting, normalization, post-treatment…) and the model training
 itself. The framework executes all these pipelines in a parallel way and store 
all the results in a database and in differents files. Some facility are offered
 to pause/resume and monitor the run. A plot module helps getting some compact a
nd graphical representations to ease the interpretation of this data.