def test_caching():
temp_dir = mkdtemp(prefix='test_memory_')
old_rerun = config.get('execution', 'stop_on_first_rerun')
try:
# Prevent rerun to check that evaluation is computed only once
config.set('execution', 'stop_on_first_rerun', 'true')
mem = Memory(temp_dir)
first_nb_run = nb_runs
results = mem.cache(SideEffectInterface)(input1=2, input2=1)
assert_equal(nb_runs, first_nb_run + 1)
assert_equal(results.outputs.output1, [1, 2])
results = mem.cache(SideEffectInterface)(input1=2, input2=1)
# Check that the node hasn't been rerun
assert_equal(nb_runs, first_nb_run + 1)
assert_equal(results.outputs.output1, [1, 2])
results = mem.cache(SideEffectInterface)(input1=1, input2=1)
# Check that the node hasn been rerun
assert_equal(nb_runs, first_nb_run + 2)
assert_equal(results.outputs.output1, [1, 1])
finally:
rmtree(temp_dir)
config.set('execution', 'stop_on_first_rerun', old_rerun)
## for details.
##
## This software is distributed WITHOUT ANY WARRANTY; without even
## the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
## PURPOSE. See the above copyright notices for more information.
##
#################################################################################
import os
import csv
import sys
import string
import argparse
"""Import necessary modules from nipype."""
from nipype.utils.config import config
config.set('logging', 'log_to_file', 'false')
#--config.set('logging', 'workflow_level', 'DEBUG')
#--config.set('logging', 'interface_level', 'DEBUG')
config.set_log_dir(os.getcwd())
from nipype.interfaces.base import CommandLine, CommandLineInputSpec, TraitedSpec, File, Directory, traits, isdefined, BaseInterface
from nipype.interfaces.utility import Merge, Split, Function, Rename, IdentityInterface
import nipype.interfaces.io as nio # Data i/o
import nipype.pipeline.engine as pe # pypeline engine
from nipype.interfaces.freesurfer import ReconAll
from nipype.utils.misc import package_check
package_check('numpy', '1.3', 'tutorial1')
package_check('scipy', '0.7', 'tutorial1')
##
## This software is distributed WITHOUT ANY WARRANTY; without even
## the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
## PURPOSE. See the above copyright notices for more information.
##
#################################################################################
import os
import csv
import sys
import string
import argparse
"""Import necessary modules from nipype."""
from nipype.utils.config import config
config.set('logging', 'log_to_file', 'false')
#--config.set('logging', 'workflow_level', 'DEBUG')
#--config.set('logging', 'interface_level', 'DEBUG')
config.set_log_dir(os.getcwd())
from nipype.interfaces.base import CommandLine, CommandLineInputSpec, TraitedSpec, File, Directory, traits, isdefined, BaseInterface
from nipype.interfaces.utility import Merge, Split, Function, Rename, IdentityInterface
import nipype.interfaces.io as nio # Data i/o
import nipype.pipeline.engine as pe # pypeline engine
from nipype.interfaces.freesurfer import ReconAll
from nipype.utils.misc import package_check
package_check('numpy', '1.3', 'tutorial1')
python fmri_fsl_reuse.py
First tell python where to find the appropriate functions.
"""
import os # system functions
"""
.. note::
config for logging should be set before anything else
"""
from nipype.utils.config import config
config.set("logging", "log_to_file", "false")
config.set_log_dir(os.getcwd())
import nipype.interfaces.io as nio # Data i/o
import nipype.interfaces.fsl as fsl # fsl
import nipype.interfaces.utility as util # utility
import nipype.pipeline.engine as pe # pypeline engine
import nipype.algorithms.modelgen as model # model generation
import nipype.algorithms.rapidart as ra # artifact detection
from nipype.workflows.fmri.fsl import create_featreg_preproc, create_modelfit_workflow, create_fixed_effects_flow
"""
Preliminaries
-------------
