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Use latest psyneulink & neuromllite
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pgleeson committed Aug 18, 2022
1 parent 101d83b commit 5062acd
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12 changes: 5 additions & 7 deletions .github/workflows/ci.yml
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Expand Up @@ -35,19 +35,17 @@ jobs:
with:
python-version: ${{ matrix.python-version }}

# Rely on latest release of modelspec...
# Rely on version of modelspec from PyPI as set by setup.cfg...
#- name: Install modelspec
# run: python -m pip install git+https://github.com/ModECI/modelspec.git@main

# Rely on version of NeuroMLlite from PyPI as set by setup.py...
# - name: Install NeuroMLlite
# run: python -m pip install NeuroMLlite>=0.5.0

- name: Install GPy (py3.9)
if: ${{ matrix.python-version == '3.9' }}
run: python -m pip install git+https://github.com/SheffieldML/GPy.git@devel

- name: Install specific PsyNeuLink branch
run: python -m pip install git+https://github.com/ModECI/PsyNeuLink@devel
# Rely on version of PsyNeuLink from PyPI as set by setup.py...
#- name: Install specific PsyNeuLink branch
# run: python -m pip install git+https://github.com/ModECI/PsyNeuLink@devel

- name: Install core package
run: python -m pip install .[dev]
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2 changes: 1 addition & 1 deletion examples/NeuroML/LEMS_SimABCD.xml
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Expand Up @@ -2,7 +2,7 @@

<!--
This LEMS file has been automatically generated using PyNeuroML v0.7.1 (libNeuroML v0.4.0)
This LEMS file has been automatically generated using PyNeuroML v0.7.2 (libNeuroML v0.4.0)
-->

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2 changes: 1 addition & 1 deletion examples/NeuroML/LEMS_SimFN.xml
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Expand Up @@ -2,7 +2,7 @@

<!--
This LEMS file has been automatically generated using PyNeuroML v0.7.1 (libNeuroML v0.4.0)
This LEMS file has been automatically generated using PyNeuroML v0.7.2 (libNeuroML v0.4.0)
-->

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4 changes: 2 additions & 2 deletions setup.py
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Expand Up @@ -5,8 +5,8 @@
# Most of this packages settings are defined in setup.cfg
# FIXME: Not sure of the best way to setup extras_require from setup.cfg
extras = {
"psyneulink": ["psyneulink>=0.11.0.0"],
"neuroml": ["pyNeuroML>=0.5.20", "neuromllite>=0.5.1"],
"psyneulink": ["psyneulink>=0.12.0.0"],
"neuroml": ["pyNeuroML>=0.5.20", "neuromllite>=0.5.2"],
"test": [
"pytest",
"pytest-benchmark",
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