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feat(api): add z_overlap_between_passes_mm to LiquidProbeSettings (#1…
…6055) <!-- Thanks for taking the time to open a Pull Request (PR)! Please make sure you've read the "Opening Pull Requests" section of our Contributing Guide: https://github.com/Opentrons/opentrons/blob/edge/CONTRIBUTING.md#opening-pull-requests GitHub provides robust markdown to format your PR. Links, diagrams, pictures, and videos along with text formatting make it possible to create a rich and informative PR. For more information on GitHub markdown, see: https://docs.github.com/en/get-started/writing-on-github/getting-started-with-writing-and-formatting-on-github/basic-writing-and-formatting-syntax To ensure your code is reviewed quickly and thoroughly, please fill out the sections below to the best of your ability! --> # Overview <!-- Describe your PR at a high level. State acceptance criteria and how this PR fits into other work. Link issues, PRs, and other relevant resources. --> This PR adds the z_overlap_between_passes_mm field to LiquidProbeSettings, with the default and universal value of 0.1mm. ## Test Plan and Hands on Testing <!-- Describe your testing of the PR. Emphasize testing not reflected in the code. Attach protocols, logs, screenshots and any other assets that support your testing. --> ## Changelog <!-- List changes introduced by this PR considering future developers and the end user. Give careful thought and clear documentation to breaking changes. --> ## Review requests <!-- - What do you need from reviewers to feel confident this PR is ready to merge? - Ask questions. --> ## Risk assessment <!-- - Indicate the level of attention this PR needs. - Provide context to guide reviewers. - Discuss trade-offs, coupling, and side effects. - Look for the possibility, even if you think it's small, that your change may affect some other part of the system. - For instance, changing return tip behavior may also change the behavior of labware calibration. - How do your unit tests and on hands on testing mitigate this PR's risks and the risk of future regressions? - Especially in high risk PRs, explain how you know your testing is enough. -->
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