Comments (3)
Since YAML is not supported in Python's standard library, this would have to be an optional extension, since I do not want to force a YAML parser as a dependency for ddt
. ddt
should stay very lightweight and be very fast to install.
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BUMP!
I agree with not making it a "required" dependency and an optional one.
The JSON part can be used as it is currently used.
For YAML, if someone tries to use it, without PyYAML (or whichever library) installed, you can raise an error telling the user to install the same, otherwise it should just work as expected.
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Closed by #42
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Related Issues (20)
- Add @named_data to give tests meaningful names. HOT 1
- Consider dropping support for all EOL versions Python 2.7 - 3.6 HOT 1
- How to import `named_data`? HOT 1
- Allow `named_data` to take tuples (any `collections.Sequence`)
- Async tests no longer work on python 3.11
- sdist is missing `tox.ini` HOT 6
- 1.7.0: `flake8` reports `pycodestyle` errors HOT 5
- 1.7.0: Has Python 2.7 classifiers but is Python 3+ only. HOT 2
- ddt interaction with setUp and tearDown HOT 2
- Django runserver finds that @file_data has loaded the data and cannot be changed[Help me] HOT 1
- Test Case Ordinal Numbering zero-pads poorly HOT 1
- Index only test names HOT 1
- New release causes error on import HOT 4
- 1.4.1: test suite is failing HOT 2
- Cleanup
- Docs → Example Usage: contents of example data files not shown? HOT 1
- (DDT+Excel+Unittest)How to control the execution of each test case HOT 2
- Test failure with PyYAML 5.4.1 HOT 4
- Signature change of `ddt.idata` in 1.4.3 breaks downstream uses
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