Developing and Testing with Docker Running the unit test suite Calculating test coverage Code coverage in HTML format Code coverage in XML (Cobertura-style) Running the tests on all supported Python versions you can do so like this: $ py.test t/unit/worker/test_worker.py Calculating test coverage To calculate test coverage you must first install the pytest-cov [https://pypi.python.org/pypi/pytest-cov/] install -U pytest-cov Code coverage in HTML format 1. Run py.test with the --cov-report=html argument enabled: $ py.test --cov=celery --cov-report=html 2. The coverage output will then be located in

Developing and Testing with Docker Running the unit test suite Calculating test coverage Code coverage in HTML format Code coverage in XML (Cobertura-style) Running the tests on all supported Python versions you can do so like this: $ py.test t/unit/worker/test_worker.py Calculating test coverage To calculate test coverage you must first install the pytest-cov [https://pypi.python.org/pypi/pytest-cov/] install -U pytest-cov Code coverage in HTML format 1. Run py.test with the --cov-report=html argument enabled: $ py.test --cov=celery --cov-report=html 2. The coverage output will then be located in

Developing and Testing with Docker Running the unit test suite Calculating test coverage Code coverage in HTML format Code coverage in XML (Cobertura-style) Running the tests on all supported Python versions you can do so like this: $ py.test t/unit/worker/test_worker.py Calculating test coverage To calculate test coverage you must first install the pytest-cov [https://pypi.python.org/pypi/pytest-cov/] install -U pytest-cov Code coverage in HTML format 1. Run py.test with the --cov-report=html argument enabled: $ py.test --cov=celery --cov-report=html 2. The coverage output will then be located in

Developing and Testing with Docker Running the unit test suite Calculating test coverage Code coverage in HTML format Code coverage in XML (Cobertura-style) Running the tests on all supported Python versions you can do so like this: $ py.test t/unit/worker/test_worker.py Calculating test coverage To calculate test coverage you must first install the pytest-cov [https://pypi.python.org/pypi/pytest-cov/] install -U pytest-cov Code coverage in HTML format 1. Run py.test with the --cov-report=html argument enabled: $ py.test --cov=celery --cov-report=html 2. The coverage output will then be located in

Developing and Testing with Docker Running the unit test suite Calculating test coverage Code coverage in HTML format Code coverage in XML (Cobertura-style) Running the tests on all supported Python versions you can do so like this: $ py.test t/unit/worker/test_worker.py Calculating test coverage To calculate test coverage you must first install the pytest-cov [https://pypi.python.org/pypi/pytest-cov/] install -U pytest-cov Code coverage in HTML format 1. Run py.test with the --cov-report=html argument enabled: $ py.test --cov=celery --cov-report=html 2. The coverage output will then be located in

Running the unit test suite – Creating pull requests * Calculating test coverage · Code coverage in HTML format · Code coverage in XML (Cobertura-style) * Running the tests on all supported Python versions issues by following the steps outlined here: http://bit.ly/koJoso Calculating test coverage To calculate test coverage you must first install the pytest-cov module. Installing the pytest-cov module: install -U pytest-cov Code coverage in HTML format 1. Run py.test with the --cov-report=html argument enabled: $ py.test --cov=celery --cov-report=html 2. The coverage output will then be located in

repository Running the unit test suite Creating pull requests Calculating test coverage Code coverage in HTML format Code coverage in XML (Cobertura-style) Running the tests on all supported Python versions issues by following the steps outlined here: http://bit.ly/koJoso Calculating test coverage To calculate test coverage you must first install the pytest-cov [https://pypi.python.org/pypi/pytest-cov/] install -U pytest-cov Code coverage in HTML format 1. Run py.test with the --cov-report=html argument enabled: $ py.test --cov=celery --cov-report=html 2. The coverage output will then be located in

repository Running the unit test suite Creating pull requests Calculating test coverage Code coverage in HTML format Code coverage in XML (Cobertura-style) Running the tests on all supported Python versions issues by following the steps outlined here: http://bit.ly/koJoso Calculating test coverage To calculate test coverage you must first install the pytest-cov [https://pypi.python.org/pypi/pytest-cov/] install -U pytest-cov Code coverage in HTML format 1. Run py.test with the --cov-report=html argument enabled: $ py.test --cov=celery --cov-report=html 2. The coverage output will then be located in

Running the unit test suite – Creating pull requests * Calculating test coverage · Code coverage in HTML format · Code coverage in XML (Cobertura-style) * Running the tests on all supported Python versions ly/koJoso Calculating test coverage To calculate test coverage you must first install the pytest-cov module. Installing the pytest-cov module: $ pip install -U pytest-cov Code coverage in HTML format 1. Run py.test --cov=celery --cov-report=html 2. The coverage output will then be located in the htmlcov/ directory: $ open htmlcov/index.html Code coverage in XML (Cobertura-style) 1. Run py.test with the

Running the unit test suite – Creating pull requests * Calculating test coverage · Code coverage in HTML format · Code coverage in XML (Cobertura-style) * Running the tests on all supported Python versions ly/koJoso Calculating test coverage To calculate test coverage you must first install the pytest-cov module. Installing the pytest-cov module: $ pip install -U pytest-cov Code coverage in HTML format 1. Run --cov-report=html 2. The coverage output will then be located in the htmlcov/ directory: $ open htmlcov/index.html 2.5. Contributing 225 Celery Documentation, Release 4.0.1 Code coverage in XML (Cobertura-style)