requirements: update matplotlib requirement from <3.7.6 to <3.9.2

[dependabot]

Updates the requirements on matplotlib to permit the latest version.

Release notes

Sourced from matplotlib's releases.

REL: 3.9.1

This is the first bugfix release of the 3.9.x series.

This release contains several bug-fixes and adjustments:

• Add GitHub artifact attestations for sdist and wheels
• Re-add matplotlib.cm.get_cmap; note this function will still be removed at a later date
• Allow duplicate backend entry points
• Fix Axes autoscaling of thin bars at large locations
• Fix Axes autoscaling with axhspan / axvspan
• Fix Axes3D autoscaling of Line3DCollection / Poly3DCollection
• Fix Axes3D mouse interactivity with non-default roll angle
• Fix box aspect ratios in Axes3D with alternate vertical axis
• Fix case handling of backends specified as module://...
• Fix crash with TkAgg on Windows with tk.window_focus: True
• Fix interactive update of SubFigures
• Fix interactivity when using the IPython console
• Fix pickling of AxesWidgets and SubFigures
• Fix scaling on GTK3Cairo / GTK4Cairo backends
• Fix text wrapping within SubFigures
• Promote mpltype Sphinx role to a public extension; note this is only intended for development reasons

Commits

• 44be14c REL: 3.9.1
• 5325425 DOC: Create release notes for 3.9.1
• 568a039 Merge pull request #28507 from meeseeksmachine/auto-backport-of-pr-28430-on-v...
• 7fa9f24 Merge pull request #28506 from meeseeksmachine/auto-backport-of-pr-28451-on-v...
• 06189c2 Backport PR #28430: Fix pickling of AxesWidgets.
• c43313a Backport PR #28451: Fix GTK cairo backends
• 560fdc4 Merge pull request #28499 from meeseeksmachine/auto-backport-of-pr-28498-on-v...
• 5552302 Backport PR #28498: Don't fail if we can't query system fonts on macOS
• f76bba4 Merge pull request #28491 from meeseeksmachine/auto-backport-of-pr-28487-on-v...
• 8ccd2ee Merge pull request #28490 from meeseeksmachine/auto-backport-of-pr-28486-on-v...
• Additional commits viewable in compare view

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[github-actions]

This PR causes the following changes to the html docs (ubuntu-latest-3.11):

No differences!

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[github-actions]

This PR causes the following changes to the html docs (ubuntu-latest-3.11):

No differences!

...

See CI logs for the full diff.

[github-actions]

This PR causes the following changes to the html docs (ubuntu-latest-3.11):

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...

See CI logs for the full diff.

[github-actions]

This PR causes the following changes to the html docs (ubuntu-latest-3.11):

diff -r docs-base/Mechanism.html docs-head/Mechanism.html
379c379
< <strong>comparison_operation</strong> argument, that is used to set the LinearCombination function’s <a class="reference internal" href="IntegratorFunctions.html#psyneulink.core.components.functions.stateful.integratorfunctions.DualAdaptiveIntegrator.operation" title="psyneulink.core.components.functions.stateful.integratorfunctions.DualAdaptiveIntegrator.operation"><code class="xref any py py-attr docutils literal notranslate"><span class="pre">operation</span></code></a> parameter.</p>
---
> <strong>comparison_operation</strong> argument, that is used to set the LinearCombination function’s <a class="reference internal" href="CombinationFunctions.html#psyneulink.core.components.functions.combinationfunctions.CombineMeans.operation" title="psyneulink.core.components.functions.combinationfunctions.CombineMeans.operation"><code class="xref any py py-attr docutils literal notranslate"><span class="pre">operation</span></code></a> parameter.</p>
diff -r docs-base/RefactoredLearningGuide.html docs-head/RefactoredLearningGuide.html
282c282
< <p>Notice that we no longer have to extract the target node from the <code class="xref any docutils literal notranslate"><span class="pre">add_backpropagation_learning_pathway</span> <span class="pre">method</span></code>, and can instead pass the targets as output nodes mapped to values, in a new parameter called <code class="xref any docutils literal notranslate"><span class="pre">targets</span></code> in the <a class="reference internal" href="EMComposition.html#psyneulink.library.compositions.emcomposition.EMComposition.learn" title="psyneulink.library.compositions.emcomposition.EMComposition.learn"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">learn</span></code></a> method.</p>
---
> <p>Notice that we no longer have to extract the target node from the <code class="xref any docutils literal notranslate"><span class="pre">add_backpropagation_learning_pathway</span> <span class="pre">method</span></code>, and can instead pass the targets as output nodes mapped to values, in a new parameter called <code class="xref any docutils literal notranslate"><span class="pre">targets</span></code> in the <a class="reference internal" href="AutodiffComposition.html#psyneulink.library.compositions.autodiffcomposition.AutodiffComposition.learn" title="psyneulink.library.compositions.autodiffcomposition.AutodiffComposition.learn"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">learn</span></code></a> method.</p>
287c287
< its constructor to be runtime parameters of its <a class="reference internal" href="EMComposition.html#psyneulink.library.compositions.emcomposition.EMComposition.learn" title="psyneulink.library.compositions.emcomposition.EMComposition.learn"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">learn</span></code></a> method.</p>
---
> its constructor to be runtime parameters of its <a class="reference internal" href="AutodiffComposition.html#psyneulink.library.compositions.autodiffcomposition.AutodiffComposition.learn" title="psyneulink.library.compositions.autodiffcomposition.AutodiffComposition.learn"><code class="xref any py py-meth docutils literal notranslate"><span class="pre">learn</span></code></a> method.</p>
diff -r docs-base/TransferFunctions.html docs-head/TransferFunctions.html
2361c2361
< <p><a class="reference internal" href="OptimizationFunctions.html#psyneulink.core.components.functions.optimizationfunctions.GradientOptimization.bounds" title="psyneulink.core.components.functions.optimizationfunctions.GradientOptimization.bounds"><code class="xref any py py-attr docutils literal notranslate"><span class="pre">bounds</span></code></a> – specifies the lower and upper limits of the result;  if there are none, the attribute is set to
---
> <p><a class="reference internal" href="#psyneulink.core.components.functions.transferfunctions.Exponential.bounds" title="psyneulink.core.components.functions.transferfunctions.Exponential.bounds"><code class="xref any py py-attr docutils literal notranslate"><span class="pre">bounds</span></code></a> – specifies the lower and upper limits of the result;  if there are none, the attribute is set to

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[dependabot]

Superseded by #3031.