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docs/pages/principles/testing.md

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@@ -351,11 +351,11 @@ It is common practice to import and alias all of a library, such as
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`import numpy as np`. However, as we develop our unit tests, this can cause
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difficulty with mocking, and complicate refactoring.
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To patch out `numpy.sum` in your test, you either need to patch the _global_ numpy
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module, which can have unintended side-effects, or specifically patch numpy.sum
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within the module namespace, which can result in absurdly long namespace paths,
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and logical breaks in the path when we transition from the local module
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namespace into an imported dependency's namespace, like so:
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To patch out `numpy.sum` in your test, you either need to patch the _global_
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numpy module, which can have unintended side-effects, or specifically patch
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numpy.sum within the module namespace, which can result in absurdly long
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namespace paths, and logical breaks in the path when we transition from the
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local module namespace into an imported dependency's namespace, like so:
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```python
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def test_func(mocker):
@@ -395,15 +395,14 @@ total = numeric_sum(some_numeric_values)
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We recommend using Pytest for running tests in your development environments. To
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run unit tests in your source folder, from your package root, use
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`pytest {path/to/source}`.
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To run tests from an installed package (outside of
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`pytest {path/to/source}`. To run tests from an installed package (outside of
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your source repository), use `pytest --pyargs {package name}`.
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You can set the default test path in `pyproject.toml`, see:
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[Configuring pytest]({% link pages/tutorials/test.md %}#configuring-pytest)
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We recommend configuring pytest to run ONLY your fastest, least demanding test suite by default.
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You can set the default test path in `pyproject.toml`, see: [Configuring
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pytest]({% link pages/tutorials/test.md %}#configuring-pytest)
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We recommend configuring pytest to run ONLY your fastest, least demanding test
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suite by default.
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#### Mocking and Patching to Isolate the code under test
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