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Merge pull request #1346 from PrincetonUniversity/devel
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Devel
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dillontsmith authored Oct 11, 2019
2 parents 31ab630 + d8a3b18 commit 6eefbea
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3 changes: 1 addition & 2 deletions .appveyor.yml
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Expand Up @@ -32,8 +32,7 @@ install:
- pip install --user -U pip
- pip --version
# certifi upgrade is needed by pytest-profiling (it does not set the dependencies right)
# numpy 1.16 gets pulled by leabra below and pnl downgrades it to <1.16 later
- pip install --user -U certifi "numpy<1.16"
- pip install --user -U certifi
- pip install --user git+https://github.com/benureau/leabra.git@master

# pytorch does not distribute windows packages over pypi.
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3 changes: 2 additions & 1 deletion .idea/inspectionProfiles/Project_Default.xml

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6 changes: 3 additions & 3 deletions .idea/runConfigurations/Scratch_Pad.xml

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17 changes: 6 additions & 11 deletions .travis.yml
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Expand Up @@ -77,17 +77,9 @@ before_install:
fi
- python --version
- pip --version
- |
if [ "x$COVERALLS_REPO_TOKEN" != "x" ]; then
export PYTEST_COV="--cov=psyneulink"
else
export PYTEST_COV=""
fi

install:
# Downgrade numpy early if needed.
- pip install -U 'numpy<1.16'
- if [ "x$COVERALLS_REPO_TOKEN" != "x" ]; then pip install coveralls; fi
- pip install coveralls
- pip install git+https://github.com/benureau/leabra.git@master
# Travis bundles pytest 4.3.1 in Linux Xenial, new pytest-xdist
# requires pytest>=4.4.0, and the dependencies are broken
Expand All @@ -96,7 +88,10 @@ install:


script:
- pytest -n auto --strict-markers -p no:logging $PYTEST_COV
- pytest -n auto --strict-markers -p no:logging --cov=psyneulink

after_script:
- if [ "x$COVERALLS_REPO_TOKEN" != "x" ]; then coveralls; fi
- COVERALLS_PARALLEL=true coveralls

notifications:
webhooks: https://coveralls.io/webhook
2 changes: 1 addition & 1 deletion docs/source/BasicsAndSampler.rst
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Expand Up @@ -124,7 +124,7 @@ As the name of the ``show_graph()`` method suggests, Compositions are represente
standard dependency dictionary format, so that they can also be submitted to other graph theoretic packages for
display and/or analysis (such as `NetworkX <https://networkx.github.io>`_ and `igraph <http://igraph.org/redirect
.html>`_). They can also be exported as a JSON file, in a format that is currently being developed for the exchange
of computational models in neuroscience and psychology (see `BIDS <XXX>`)
of computational models in neuroscience and psychology (see `json`)

.. XXX USE show_graph(show_node_structure=True) HERE OR ABOVE::
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