Add environment variable for skipping slow ensure_clean_state python fixture

[hjtran]

The ensure_clean_state pytest fixture adds ~200ms of overhead to every unit test. This slows down local development quite a bit.

This adds an opt-in environment flag to skip this fixture which lets local development go a bit faster while still allowing the fixture to run on the GH runners and reduce the amount of intermittent failures.

With this, the decorators_test takes 3s instead of 12s on my machine.

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Summary of Changes

Hello @hjtran, I'm Gemini Code Assist[^1]! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request aims to enhance the local development experience for Python contributors by providing a mechanism to accelerate test execution. It introduces an opt-in environment variable that allows developers to bypass a specific pytest fixture, ensure_clean_state, which is known to introduce significant overhead during local runs. This optimization is designed to speed up iterative development cycles without compromising the integrity or thoroughness of tests executed in continuous integration environments.

Highlights

• Test Performance Improvement: Introduces an environment variable to optionally skip the ensure_clean_state pytest fixture.
• Local Development Speed-up: This change significantly reduces test execution time for local development, as the fixture adds ~200ms overhead per test, potentially speeding up test suites like decorators_test from 12s to 3s.
• CI Integrity Maintained: The fixture will continue to run on GitHub CI runners, ensuring test stability and reducing intermittent failures in the official build process.

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[hjtran]

R: @shunping @A1K28

failures look unrelated

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This pull request has been marked as stale due to 60 days of inactivity. It will be closed in 1 week if no further activity occurs. If you think that’s incorrect or this pull request requires a review, please simply write any comment. If closed, you can revive the PR at any time and @mention a reviewer or discuss it on the [email protected] list. Thank you for your contributions.

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This pull request has been closed due to lack of activity. If you think that is incorrect, or the pull request requires review, you can revive the PR at any time.