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doc updates [skip ci]
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Circle Ci committed Nov 25, 2024
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2 changes: 1 addition & 1 deletion dev/_modules/hnn_core/gui/gui.html
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Expand Up @@ -291,7 +291,7 @@ <h1>Source code for hnn_core.gui.gui</h1><div class="highlight"><pre>
<span class="s1">&#39;output_type&#39;</span><span class="p">:</span> <span class="s1">&#39;stream&#39;</span><span class="p">,</span>
<span class="s1">&#39;text&#39;</span><span class="p">:</span> <span class="n">formatted_record</span> <span class="o">+</span> <span class="s1">&#39;</span><span class="se">\n</span><span class="s1">&#39;</span>
<span class="p">}</span>
<span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="o">.</span><span class="n">outputs</span> <span class="o">=</span> <span class="p">(</span><span class="n">new_output</span><span class="p">,</span> <span class="p">)</span> <span class="o">+</span> <span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="o">.</span><span class="n">outputs</span>
<span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="o">.</span><span class="n">outputs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">out</span><span class="o">.</span><span class="n">outputs</span> <span class="o">+</span> <span class="p">(</span><span class="n">new_output</span><span class="p">,</span> <span class="p">)</span>


<div class="viewcode-block" id="HNNGUI"><a class="viewcode-back" href="../../../generated/hnn_core.gui.HNNGUI.html#hnn_core.gui.HNNGUI">[docs]</a><span class="k">class</span> <span class="nc">HNNGUI</span><span class="p">:</span>
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22 changes: 11 additions & 11 deletions dev/_sources/auto_examples/howto/plot_batch_simulate.rst.txt
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Expand Up @@ -226,25 +226,25 @@ Run the batch simulation and collect the results.
[Parallel(n_jobs=10)]: Done 1 tasks | elapsed: 1.7s
Simulation results: {'summary_statistics': [[{'min_peak': -1.9487233699162363e-05, 'max_peak': 2.438299811172486e-05}], [{'min_peak': -1.9487233699162363e-05, 'max_peak': 5.406961258004377e-05}], [{'min_peak': -1.9487233699162363e-05, 'max_peak': 0.00011922352353898099}], [{'min_peak': -0.0006636604554164317, 'max_peak': 0.0011404645089040637}], [{'min_peak': -1.9487233699162363e-05, 'max_peak': 0.0009097461915339956}], [{'min_peak': -1.9487233699162363e-05, 'max_peak': 0.0011362095936085991}], [{'min_peak': -1.9487233699162363e-05, 'max_peak': 0.001168458230350182}], [{'min_peak': -1.9487233699162363e-05, 'max_peak': 0.0012737618628301784}], [{'min_peak': -1.9487233699162363e-05, 'max_peak': 0.0014391544369764205}], [{'min_peak': -1.9487233699162363e-05, 'max_peak': 0.001616939552849071}]], 'simulated_data': [[{'net': <Network | 3 x 3 Pyramidal cells (L2, L5)
3 L2 basket cells
3 L5 basket cells>, 'param_values': {'weight_basket': 9.999999999999999e-06, 'weight_pyr': 9.999999999999999e-05}, 'dpl': [<hnn_core.dipole.Dipole object at 0x7fe67f6ff7c0>]}], [{'net': <Network | 3 x 3 Pyramidal cells (L2, L5)
3 L5 basket cells>, 'param_values': {'weight_basket': 9.999999999999999e-06, 'weight_pyr': 9.999999999999999e-05}, 'dpl': [<hnn_core.dipole.Dipole object at 0x7f8c19741b50>]}], [{'net': <Network | 3 x 3 Pyramidal cells (L2, L5)
3 L2 basket cells
3 L5 basket cells>, 'param_values': {'weight_basket': 2.0235896477251556e-05, 'weight_pyr': 0.00021544346900318845}, 'dpl': [<hnn_core.dipole.Dipole object at 0x7fe6843df9d0>]}], [{'net': <Network | 3 x 3 Pyramidal cells (L2, L5)
3 L5 basket cells>, 'param_values': {'weight_basket': 2.0235896477251556e-05, 'weight_pyr': 0.00021544346900318845}, 'dpl': [<hnn_core.dipole.Dipole object at 0x7f8c2136de20>]}], [{'net': <Network | 3 x 3 Pyramidal cells (L2, L5)
3 L2 basket cells
3 L5 basket cells>, 'param_values': {'weight_basket': 4.094915062380427e-05, 'weight_pyr': 0.00046415888336127773}, 'dpl': [<hnn_core.dipole.Dipole object at 0x7fe68437ec40>]}], [{'net': <Network | 3 x 3 Pyramidal cells (L2, L5)
3 L5 basket cells>, 'param_values': {'weight_basket': 4.094915062380427e-05, 'weight_pyr': 0.00046415888336127773}, 'dpl': [<hnn_core.dipole.Dipole object at 0x7f8c229db940>]}], [{'net': <Network | 3 x 3 Pyramidal cells (L2, L5)
3 L2 basket cells
3 L5 basket cells>, 'param_values': {'weight_basket': 8.286427728546842e-05, 'weight_pyr': 0.001}, 'dpl': [<hnn_core.dipole.Dipole object at 0x7fe6842f8b20>]}], [{'net': <Network | 3 x 3 Pyramidal cells (L2, L5)
3 L5 basket cells>, 'param_values': {'weight_basket': 8.286427728546842e-05, 'weight_pyr': 0.001}, 'dpl': [<hnn_core.dipole.Dipole object at 0x7f8c213af790>]}], [{'net': <Network | 3 x 3 Pyramidal cells (L2, L5)
3 L2 basket cells
3 L5 basket cells>, 'param_values': {'weight_basket': 0.00016768329368110083, 'weight_pyr': 0.002154434690031882}, 'dpl': [<hnn_core.dipole.Dipole object at 0x7fe68e48b9a0>]}], [{'net': <Network | 3 x 3 Pyramidal cells (L2, L5)
3 L5 basket cells>, 'param_values': {'weight_basket': 0.00016768329368110083, 'weight_pyr': 0.002154434690031882}, 'dpl': [<hnn_core.dipole.Dipole object at 0x7f8c2ac5b4f0>]}], [{'net': <Network | 3 x 3 Pyramidal cells (L2, L5)
3 L2 basket cells
3 L5 basket cells>, 'param_values': {'weight_basket': 0.00033932217718953293, 'weight_pyr': 0.004641588833612777}, 'dpl': [<hnn_core.dipole.Dipole object at 0x7fe68e0baeb0>]}], [{'net': <Network | 3 x 3 Pyramidal cells (L2, L5)
3 L5 basket cells>, 'param_values': {'weight_basket': 0.00033932217718953293, 'weight_pyr': 0.004641588833612777}, 'dpl': [<hnn_core.dipole.Dipole object at 0x7f8c211fd670>]}], [{'net': <Network | 3 x 3 Pyramidal cells (L2, L5)
3 L2 basket cells
3 L5 basket cells>, 'param_values': {'weight_basket': 0.0006866488450042998, 'weight_pyr': 0.01}, 'dpl': [<hnn_core.dipole.Dipole object at 0x7fe68519c220>]}], [{'net': <Network | 3 x 3 Pyramidal cells (L2, L5)
3 L5 basket cells>, 'param_values': {'weight_basket': 0.0006866488450042998, 'weight_pyr': 0.01}, 'dpl': [<hnn_core.dipole.Dipole object at 0x7f8c297f19d0>]}], [{'net': <Network | 3 x 3 Pyramidal cells (L2, L5)
3 L2 basket cells
3 L5 basket cells>, 'param_values': {'weight_basket': 0.0013894954943731376, 'weight_pyr': 0.021544346900318822}, 'dpl': [<hnn_core.dipole.Dipole object at 0x7fe68cf35bb0>]}], [{'net': <Network | 3 x 3 Pyramidal cells (L2, L5)
3 L5 basket cells>, 'param_values': {'weight_basket': 0.0013894954943731376, 'weight_pyr': 0.021544346900318822}, 'dpl': [<hnn_core.dipole.Dipole object at 0x7f8c34736790>]}], [{'net': <Network | 3 x 3 Pyramidal cells (L2, L5)
3 L2 basket cells
3 L5 basket cells>, 'param_values': {'weight_basket': 0.002811768697974231, 'weight_pyr': 0.046415888336127774}, 'dpl': [<hnn_core.dipole.Dipole object at 0x7fe68ec8c460>]}], [{'net': <Network | 3 x 3 Pyramidal cells (L2, L5)
3 L5 basket cells>, 'param_values': {'weight_basket': 0.002811768697974231, 'weight_pyr': 0.046415888336127774}, 'dpl': [<hnn_core.dipole.Dipole object at 0x7f8c2acfb1f0>]}], [{'net': <Network | 3 x 3 Pyramidal cells (L2, L5)
3 L2 basket cells
3 L5 basket cells>, 'param_values': {'weight_basket': 0.005689866029018299, 'weight_pyr': 0.09999999999999999}, 'dpl': [<hnn_core.dipole.Dipole object at 0x7fe68cf5d640>]}]]}
3 L5 basket cells>, 'param_values': {'weight_basket': 0.005689866029018299, 'weight_pyr': 0.09999999999999999}, 'dpl': [<hnn_core.dipole.Dipole object at 0x7f8c1944a610>]}]]}
Expand Down Expand Up @@ -333,7 +333,7 @@ dipole activity changes as we vary the synaptic strength parameter.

.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 17.718 seconds)
**Total running time of the script:** (0 minutes 17.916 seconds)


.. _sphx_glr_download_auto_examples_howto_plot_batch_simulate.py:
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2 changes: 1 addition & 1 deletion dev/_sources/auto_examples/howto/plot_connectivity.rst.txt
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Expand Up @@ -478,7 +478,7 @@ the aggregate current dipole.
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (1 minutes 24.823 seconds)
**Total running time of the script:** (1 minutes 31.708 seconds)


.. _sphx_glr_download_auto_examples_howto_plot_connectivity.py:
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4 changes: 2 additions & 2 deletions dev/_sources/auto_examples/howto/plot_firing_pattern.rst.txt
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Expand Up @@ -321,7 +321,7 @@ read spikes back in, we can use wildcard expressions.
/home/circleci/project/examples/howto/plot_firing_pattern.py:111: DeprecationWarning: Writing cell response to txt files is deprecated and will be removed in future versions. Please save cell response along with network
net.cell_response.write(op.join(tmp_dir_name, 'spk_%d.txt'))
Writing file /tmp/tmpzwj9ilxi/spk_0.txt
Writing file /tmp/tmpnwin81z7/spk_0.txt
/home/circleci/project/examples/howto/plot_firing_pattern.py:112: DeprecationWarning: Reading cell response from txt files is deprecated and will be removed in future versions. Please load cell response along with simulated network
cell_response = read_spikes(op.join(tmp_dir_name, 'spk_*.txt'))
Expand Down Expand Up @@ -407,7 +407,7 @@ raster plots and histograms for the pyramidal cells.
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 30.489 seconds)
**Total running time of the script:** (0 minutes 32.636 seconds)


.. _sphx_glr_download_auto_examples_howto_plot_firing_pattern.py:
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6 changes: 3 additions & 3 deletions dev/_sources/auto_examples/howto/plot_hnn_animation.rst.txt
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Expand Up @@ -110,7 +110,7 @@ the 3D structure of the network.

.. code-block:: none
/home/circleci/miniconda/envs/testenv/lib/python3.8/site-packages/hnn_core/viz.py:1073: UserWarning: The figure layout has changed to tight
/home/circleci/miniconda/envs/testenv/lib/python3.8/site-packages/hnn_core/viz.py:1029: UserWarning: The figure layout has changed to tight
plt.tight_layout()
<Figure size 640x480 with 2 Axes>
Expand Down Expand Up @@ -221,14 +221,14 @@ can adjust the xyz limits of the plot to better visualize the network.
.. code-block:: none
<matplotlib.animation.FuncAnimation object at 0x7fe68e0ba7c0>
<matplotlib.animation.FuncAnimation object at 0x7f8c20873a30>
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (1 minutes 1.875 seconds)
**Total running time of the script:** (1 minutes 4.384 seconds)


.. _sphx_glr_download_auto_examples_howto_plot_hnn_animation.py:
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Expand Up @@ -265,7 +265,7 @@ References
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 41.338 seconds)
**Total running time of the script:** (0 minutes 43.970 seconds)


.. _sphx_glr_download_auto_examples_howto_plot_record_extracellular_potentials.py:
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Expand Up @@ -172,7 +172,7 @@ start the simulation across the number of processors (cores) specified by
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (0 minutes 21.770 seconds)
**Total running time of the script:** (0 minutes 22.136 seconds)


.. _sphx_glr_download_auto_examples_howto_plot_simulate_mpi_backend.py:
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14 changes: 7 additions & 7 deletions dev/_sources/auto_examples/howto/sg_execution_times.rst.txt
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Expand Up @@ -6,7 +6,7 @@

Computation times
=================
**04:18.013** total execution time for 8 files **from auto_examples/howto**:
**04:32.750** total execution time for 8 files **from auto_examples/howto**:

.. container::

Expand All @@ -33,22 +33,22 @@ Computation times
- Time
- Mem (MB)
* - :ref:`sphx_glr_auto_examples_howto_plot_connectivity.py` (``plot_connectivity.py``)
- 01:24.823
- 01:31.708
- 0.0
* - :ref:`sphx_glr_auto_examples_howto_plot_hnn_animation.py` (``plot_hnn_animation.py``)
- 01:01.875
- 01:04.384
- 0.0
* - :ref:`sphx_glr_auto_examples_howto_plot_record_extracellular_potentials.py` (``plot_record_extracellular_potentials.py``)
- 00:41.338
- 00:43.970
- 0.0
* - :ref:`sphx_glr_auto_examples_howto_plot_firing_pattern.py` (``plot_firing_pattern.py``)
- 00:30.489
- 00:32.636
- 0.0
* - :ref:`sphx_glr_auto_examples_howto_plot_simulate_mpi_backend.py` (``plot_simulate_mpi_backend.py``)
- 00:21.770
- 00:22.136
- 0.0
* - :ref:`sphx_glr_auto_examples_howto_plot_batch_simulate.py` (``plot_batch_simulate.py``)
- 00:17.718
- 00:17.916
- 0.0
* - :ref:`sphx_glr_auto_examples_howto_optimize_evoked.py` (``optimize_evoked.py``)
- 00:00.000
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Expand Up @@ -147,7 +147,7 @@ time with unique randomization. The drive is only connected to the
Trial 1: 290.0 ms...
Trial 1: 300.0 ms...
<hnn_core.dipole.Dipole object at 0x7fe68f3c1220>
<hnn_core.dipole.Dipole object at 0x7f8c2bd53040>
Expand Down Expand Up @@ -326,7 +326,7 @@ References
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (1 minutes 35.843 seconds)
**Total running time of the script:** (1 minutes 41.573 seconds)


.. _sphx_glr_download_auto_examples_workflows_plot_simulate_alpha.py:
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Expand Up @@ -623,7 +623,7 @@ References
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (3 minutes 0.967 seconds)
**Total running time of the script:** (3 minutes 21.735 seconds)


.. _sphx_glr_download_auto_examples_workflows_plot_simulate_beta.py:
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Expand Up @@ -453,7 +453,7 @@ References
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (1 minutes 0.203 seconds)
**Total running time of the script:** (1 minutes 4.572 seconds)


.. _sphx_glr_download_auto_examples_workflows_plot_simulate_evoked.py:
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Expand Up @@ -478,7 +478,7 @@ References
.. rst-class:: sphx-glr-timing

**Total running time of the script:** (2 minutes 3.333 seconds)
**Total running time of the script:** (2 minutes 10.143 seconds)


.. _sphx_glr_download_auto_examples_workflows_plot_simulate_gamma.py:
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