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I have a model which I annotated using MetaNetX, and then I wanted to generate a MEMOTE report, to compare it to my pre-MetaNetX model.
However, I get the error: ../test_consistency.py FFAborted (core dumped)
My pre-MetaNetX files do not have this problem.
Code Sample
I have run MEMOTE both in python:
# Load model
model = read_sbml_model('model.xml')
# Run memote
result=memote.test_model(model, results=True)
# Print report to disk
report = memote.snapshot_report(result[1], config=None, html=True)
with open("model.html", "w") as handle:
handle.write(report)
We're sorry, we encountered a network issue while trying to upload your model. Please check your internet connection, and try again in a short while.
Running with skip=["test_stoichiometric_consistency"] in python and --skip test_consistency in command line fixes the issue but I want these values.
How can I achieve this?
Is it due to the filesize limitations or something MetaNetX is doing?
If so, do you have another recommendation to fill out the annotation and metadata?
Context
Jinja2 3.0.0
black ; extra == 'development' not installed
click 7.0
click-configfile 0.2.3
click-log 0.3.0
cobra 0.21.0
cookiecutter 1.7.3
depinfo 1.7.0
future 0.18.2
gitpython 3.1.18
goodtables 2.5.4
importlib-resources 5.1.0
isort ; extra == 'development' not installed
memote 0.13.0
numpydoc 1.1.0
pandas 1.1.3
pip 20.0.2
pylru 1.2.0
pytest 4.6.11
requests 2.23.0
ruamel.yaml 0.16.0
setuptools 46.4.0.post20200518
six 1.14.0
sqlalchemy 1.4.19
sympy 1.7.1
tox ; extra == 'development' not installed
travis-encrypt 1.1.2
wheel 0.34.2
The text was updated successfully, but these errors were encountered:
Problem description
I have a model which I annotated using MetaNetX, and then I wanted to generate a MEMOTE report, to compare it to my pre-MetaNetX model.
However, I get the error:
../test_consistency.py FFAborted (core dumped)
My pre-MetaNetX files do not have this problem.
Code Sample
I have run MEMOTE both in python:
and command line:
and online
Running with
skip=["test_stoichiometric_consistency"]
in python and--skip test_consistency
in command line fixes the issue but I want these values.How can I achieve this?
Is it due to the filesize limitations or something MetaNetX is doing?
If so, do you have another recommendation to fill out the annotation and metadata?
Context
The text was updated successfully, but these errors were encountered: