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Update Python example RLIs (#2955)
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* Update Python example RLIs

* Autofix RLIs

* Manually fix RLIs

---------

Co-authored-by: github-actions <[email protected]>
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sciencewhiz and github-actions authored Jan 21, 2025
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2 changes: 1 addition & 1 deletion .github/workflows/inspector.json
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2 changes: 1 addition & 1 deletion source/docs/contributing/frc-docs/style-guide.rst
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.. remoteliteralinclude:: https://raw.githubusercontent.com/robotpy/examples/36c64f286a38478f5e04d60321c57b0a9d1c5f17/GettingStarted/robot.py
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.. remoteliteralinclude:: https://raw.githubusercontent.com/robotpy/examples/36c64f286a38478f5e04d60321c57b0a9d1c5f17/ElevatorProfiledPID/robot.py
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.. tab-item:: Python

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.. remoteliteralinclude:: https://raw.githubusercontent.com/robotpy/examples/36c64f286a38478f5e04d60321c57b0a9d1c5f17/StateSpaceFlywheelSysId/robot.py
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.. tab-item:: Python
:sync: python

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## Kalman Filters: Observing Flywheel State
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.. tab-item:: Python
:sync: python

.. remoteliteralinclude:: https://raw.githubusercontent.com/robotpy/examples/36c64f286a38478f5e04d60321c57b0a9d1c5f17/StateSpaceFlywheel/robot.py
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Because Kalman filters use our state-space model in the :ref:`docs/software/advanced-controls/state-space/state-space-observers:Predict step`, it is important that our model is as accurate as possible. One way to verify this is to record a flywheel's input voltage and velocity over time, and replay this data by calling only ``predict`` on the Kalman filter. Then, the kV and kA gains (or moment of inertia and other constants) can be adjusted until the model closely matches the recorded data.
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.. tab-item:: Python
:sync: python

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## Bringing it All Together: LinearSystemLoop
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.. tab-item:: Python
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Once we have our ``LinearSystemLoop``, the only thing left to do is actually run it. To do that, we'll periodically update our Kalman filter with our new encoder velocity measurements and apply new voltage commands to it. To do that, we first set the :term:`reference`, then ``correct`` with the current flywheel speed, ``predict`` the Kalman filter into the next timestep, and apply the inputs generated using ``getU``.
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## Angle Wrap with LQR
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.. tab-item:: Python

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## Footnotes
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:sync: Python

.. rli:: https://raw.githubusercontent.com/robotpy/examples/36c64f286a38478f5e04d60321c57b0a9d1c5f17/ArmSimulation/constants.py
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.. rli:: https://raw.githubusercontent.com/robotpy/examples/36c64f286a38478f5e04d60321c57b0a9d1c5f17/ArmSimulation/subsytems/arm.py
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.. rli:: https://raw.githubusercontent.com/robotpy/examples/36c64f286a38478f5e04d60321c57b0a9d1c5f17/ArmSimulation/subsytems/arm.py
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.. rli:: https://raw.githubusercontent.com/robotpy/examples/36c64f286a38478f5e04d60321c57b0a9d1c5f17/ArmSimulation/robot.py
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.. remoteliteralinclude:: https://raw.githubusercontent.com/robotpy/examples/36c64f286a38478f5e04d60321c57b0a9d1c5f17/CANPDP/robot.py
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.. remoteliteralinclude:: https://raw.githubusercontent.com/robotpy/examples/36c64f286a38478f5e04d60321c57b0a9d1c5f17/CANPDP/robot.py
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.. remoteliteralinclude:: https://raw.githubusercontent.com/robotpy/examples/36c64f286a38478f5e04d60321c57b0a9d1c5f17/CANPDP/robot.py
.. remoteliteralinclude:: https://raw.githubusercontent.com/robotpy/examples/4e7b525b47246e55ad617a66f2c3d9fda34484a3/CANPDP/robot.py
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.. remoteliteralinclude:: https://raw.githubusercontent.com/robotpy/examples/36c64f286a38478f5e04d60321c57b0a9d1c5f17/CANPDP/robot.py
.. remoteliteralinclude:: https://raw.githubusercontent.com/robotpy/examples/4e7b525b47246e55ad617a66f2c3d9fda34484a3/CANPDP/robot.py
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.. rli:: https://raw.githubusercontent.com/robotpy/examples/36c64f286a38478f5e04d60321c57b0a9d1c5f17/QuickVision/robot.py
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Here's what your ``robot.py`` needs to contain to launch the image processing process:

.. rli:: https://raw.githubusercontent.com/robotpy/examples/36c64f286a38478f5e04d60321c57b0a9d1c5f17/IntermediateVision/robot.py
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The ``launch("vision.py")`` function says to launch ``vision.py`` and call the ``run`` function in that file. Here's what is in ``vision.py``:

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.. tab-item:: Python

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