Add a `@parameterized.named_product` which combines both `named_parameters` and `product` together.

Named Parameterized Test Cases of a Cartesian Product
======================================================

Both `named_parameters` and `product` have useful features.
However, when using both, it can be difficult to ensure that generated test
cases retain useful names.

Here, we combine both approaches to create parameterized tests with both
generated permutations and human-readable names.

Example:
```python
    @parameterized.named_product(
        [
          dict(
              testcase_name='five_mod_three_is_2',
              num=5,
              modulo=3,
              expected=2,
          ),
          dict(
              testcase_name='seven_mod_four_is_3',
              num=7,
              modulo=4,
              expected=3,
          ),
        ],
        [
            dict(testcase_name='int', dtype=int),
            dict(testcase_name='float', dtype=float),
        ]
    )
    def testModuloResult(self, num, modulo, expected, dtype):
      self.assertEqual(expected, dtype(num) % modulo)

  This would generate the test cases:

    testModuloResult_five_mod_three_is_2_int
    testModuloResult_five_mod_three_is_2_float
    testModuloResult_seven_mod_four_is_3_int
    testModuloResult_seven_mod_four_is_3_float
```

PiperOrigin-RevId: 824463104
3 files changed
tree: ed299421d48148978488f21a7f9a57522943d4af
  1. .github/
  2. absl/
  3. ci/
  4. docs/
  5. smoke_tests/
  6. .readthedocs.yaml
  7. AUTHORS
  8. BUILD.bazel
  9. CHANGELOG.md
  10. CONTRIBUTING.md
  11. LICENSE
  12. MODULE.bazel
  13. pyproject.toml
  14. README.md
  15. WORKSPACE
README.md

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Abseil Python Common Libraries

This repository is a collection of Python library code for building Python applications. The code is collected from Google's own Python code base, and has been extensively tested and used in production.

Features

  • Simple application startup
  • Distributed commandline flags system
  • Custom logging module with additional features
  • Testing utilities

Getting Started

Installation

To install the package, simply run:

pip install absl-py

Or install from source:

pip install .

Running Tests

To run Abseil tests, you can clone the git repo and run bazel:

git clone https://github.com/abseil/abseil-py.git
cd abseil-py
bazel test absl/...

Please also validate the type annotations against the latest mypy:

pip install mypy
mypy absl

Example Code

Please refer to smoke_tests/sample_app.py as an example to get started.

Documentation

See the Abseil Python Developer Guide.

Future Releases

The current repository includes an initial set of libraries for early adoption. More components and interoperability with Abseil C++ Common Libraries will come in future releases.

License

The Abseil Python library is licensed under the terms of the Apache license. See LICENSE for more information.