def run_debug(workflow, plugin="MultiProc", n_cpus=4, **plugin_kwargs):
""" Execute `wf` with `plugin`.
Parameters
----------
wf: nipype Workflow
plugin: str
The pipeline execution plugin.
See wf.run docstring for choices.
n_cpus: int
Number of CPUs to use with the 'MultiProc' plugin.
plugin_kwargs: keyword argumens
Keyword arguments for the plugin if using something different
then 'MultiProc'.
"""
try:
# plot the graph in its working directory
plot_workflow(workflow)
# run it
run_wf(workflow, plugin, n_cpus, **plugin_kwargs)
except:
import sys
print(sys.exc_info())
import pdb
pdb.post_mortem(sys.exc_info()[2])
raise
else:
print('Workflow successfully finished.')
def run_pype(workflow, **kwargs):
try:
# plot the graph in its working directory
plot_workflow(workflow)
# run it
run_wf(workflow, **kwargs)
except:
import pdb, sys
print(sys.exc_info())
pdb.post_mortem(sys.exc_info()[2])
else:
print('Workflow finished successfully!')
def run_debug(workflow, plugin="MultiProc", n_cpus=4, **plugin_kwargs):
""" Execute `wf` with `plugin`.
Parameters
----------
wf: nipype Workflow
plugin: str
The pipeline execution plugin.
See wf.run docstring for choices.
n_cpus: int
Number of CPUs to use with the 'MultiProc' plugin.
plugin_kwargs: keyword argumens
Keyword arguments for the plugin if using something different
then 'MultiProc'.
"""
try:
# plot the graph in its working directory
plot_workflow(workflow)
# run it
run_wf(workflow, plugin=plugin, n_cpus=n_cpus,
**plugin_kwargs)
except:
import sys
print(sys.exc_info())
import pdb
pdb.post_mortem(sys.exc_info()[2])
raise
else:
print('Workflow successfully finished.')
