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+# AEP Template
+
+Contributors: MatthewMiddlehurst
+
+## Overview
+
+The current general testing framework is confusing and complicated. This AEP aims to
+suggest a simplification for the general testing of estimators, based around the
+`scikit-learn` `check_estimator` method of testing.
+
+## Problem Statement and Use Cases
+
+Currently `aeon` uses a number of custom `pytest` fixtures and "scenario" classes to
+test estimators. This is generally confusing, both to maintain and to understand the 
+exact contents of a test being run. This AEP suggests a simplification of the testing
+framework to use the `check_estimator` [1] and `parametrize_with_checks` [2] functions 
+as a basis for general unit testing, similar to what is done in `scikit-learn`. This 
+would include the removal of the `pytest` fixtures and scenario classes, and a rework 
+of the current `check_estimator` method which is heavily reliant on the `pytest` 
+fixtures.
+
+This involves reworking the current tests to be run through the mentioned functions,
+rather than being individual pytest `functions`. All tests would be run through a single 
+function, i.e.
+
+```python
+@parametrize_with_checks(ALL_ESTIMATORS)
+def test_parametrize_with_checks_classes(estimator, check):
+    """Test all checks on all aeon estimators."""
+    check(estimator)
+```
+
+Which would run every test function on every estimator.
+
+This change will allow us to more easily edit the contents of these tests if necessary 
+and integrate our new experimental modules into the testing framework. The testing
+contents will also be more centralised, rather than split into double digit files
+throughout all modules of the package.
+
+## Implementation
+
+1. Create proof of concept for the new testing framework and functions 
+   ([#1479](https://github.com/aeon-toolkit/aeon/pull/1479)).
+2. Port over all existing tests to the new framework, i.e. the current classification 
+   test fixtue and the various `test_all_x` files.
+3. Remove all old testing fixtures and scenario classes, swapping them for the new 
+   framework or isolate to legacy frameworks.
+4. Consider changing the tests available or adding and removing from the suite
+   to better meet the new requirements of the package.
+5. Update the documentation to reflect the new testing framework.
+
+## Examples code/structure (if applicable)
+
+See [#1479](https://github.com/aeon-toolkit/aeon/pull/1479)
+
+PRs for part 2 and 3:
+- https://github.com/aeon-toolkit/aeon/pull/1770
+- https://github.com/aeon-toolkit/aeon/pull/1875
+- https://github.com/aeon-toolkit/aeon/pull/1877
+- https://github.com/aeon-toolkit/aeon/pull/2076
+- https://github.com/aeon-toolkit/aeon/pull/2086
+
+## Considerations and Alternatives
+
+The testing module is currently marked as experimental, so while there may be some
+differences compared to previous testing for users if they use this functionality,
+no deprecation is required according to the current document.
+
+## Discussion
+
+N/A
+
+## References
+
+- [1] https://scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.check_estimator.html
+- [2] https://scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.parametrize_with_checks.html