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added images to user guide
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FlyingWorkshop committed Jan 2, 2024
1 parent 0ea7b97 commit 7f71a62
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8 changes: 4 additions & 4 deletions docs/build/html/_sources/user-guide/index.rst.txt
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Expand Up @@ -2,19 +2,19 @@
User Guide
=================

.. image:: ../_static/roles.png
.. image:: ../_images/roles.png
:align: center

Systems
========
DynaDojo systems represent dynamical systems. They generate datasets of trajectories for DynaDojo algorithms to train and predict.

.. image:: ../_static/systems.png
.. image:: ../_images/systems.png
:align: center

They are also highly tunable.

.. image:: ../_static/params.png
.. image:: ../_images/params.png
:align: center


Expand All @@ -28,5 +28,5 @@ Challenges

DynaDojo challenges benchmark how DynaDojo algorithms perform on DynaDojo systems. Developers can implement their own challenges or use our off-the-shelf challenges to benchmark a range of metrics.

.. image:: ../_static/cube.png
.. image:: ../_images/cube.png
:align: center
2 changes: 1 addition & 1 deletion docs/build/html/searchindex.js

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8 changes: 4 additions & 4 deletions docs/source/user-guide/index.rst
Original file line number Diff line number Diff line change
Expand Up @@ -2,19 +2,19 @@
User Guide
=================

.. image:: ../_static/roles.png
.. image:: ../_images/roles.png
:align: center

Systems
========
DynaDojo systems represent dynamical systems. They generate datasets of trajectories for DynaDojo algorithms to train and predict.

.. image:: ../_static/systems.png
.. image:: ../_images/systems.png
:align: center

They are also highly tunable.

.. image:: ../_static/params.png
.. image:: ../_images/params.png
:align: center


Expand All @@ -28,5 +28,5 @@ Challenges

DynaDojo challenges benchmark how DynaDojo algorithms perform on DynaDojo systems. Developers can implement their own challenges or use our off-the-shelf challenges to benchmark a range of metrics.

.. image:: ../_static/cube.png
.. image:: ../_images/cube.png
:align: center
2 changes: 1 addition & 1 deletion src/dynadojo/systems/ca.py
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Expand Up @@ -27,7 +27,7 @@ class CASystem(AbstractSystem):
>>> x = system.make_data(x0, timesteps=timesteps)
>>> plot([x], labels=["X"])
.. image:: ../_static/ca.png
.. image:: ../_images/ca.png
"""
def __init__(self, latent_dim = 2, embed_dim = 64, in_dist_p=0.25, out_dist_p=0.75, mutation_p=0.00, seed=None):
"""
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