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# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
"""Script to run the main analyses in parallel, using the IPython machinery.
See ``fiac_example.py``.
"""
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
import os
import numpy as np
from IPython import parallel
#-----------------------------------------------------------------------------
# Utility functions
#-----------------------------------------------------------------------------
_client = None
def setup_client():
"""Get a Client and initialize it.
This assumes that all nodes see a shared filesystem.
"""
global _client
if _client is None:
_client = parallel.Client()
mydir = os.path.split(os.path.abspath(__file__))[0]
def cd(path):
import os
os.chdir(path)
_client[:].apply_sync(cd, mydir)
return _client
def getruns():
for i in range(16):
for j in range(1,5):
yield i, j
def getvals():
for con in ['sentence:speaker_0',
'sentence_1',
'sentence_0',
'sentence:speaker_1',
'speaker_1',
'speaker_0',
'constant_1',
'constant_0']:
for design in ['block', 'event']:
yield design, con
#-----------------------------------------------------------------------------
# Main analysis functions
#-----------------------------------------------------------------------------
def fitruns():
"""Run the basic model fit."""
rc = setup_client()
view = rc.load_balanced_view()
i_s, j_s = zip(*getruns())
def _fit(subj, run):
import fiac_example
try:
return fiac_example.run_model(subj, run)
except OSError:
pass
return view.map(_fit, i_s, j_s)
def fitfixed():
"""Run the fixed effects analysis for all subjects."""
rc = setup_client()
view = rc.load_balanced_view()
subjects = range(16)
def _fit(subject):
import fiac_example
try:
fiac_example.fixed_effects(subject, "block")
except OSError:
pass
try:
fiac_example.fixed_effects(subject, "event")
except OSError:
pass
return view.map(_fit, subjects)
def fitgroup():
"""Run the group analysis"""
rc = setup_client()
view = rc.load_balanced_view()
d_s, c_s = zip(*getvals())
def _fit(d, c):
import fiac_example
return fiac_example.group_analysis(d, c)
return view.map(_fit, d_s, c_s)
def run_permute_test(design, contrast, nsample=1000):
rc = setup_client()
dview = rc[:]
nnod = len(dview)
# Samples per node. Round up
ns_nod = np.ceil(nsample / float(nnod))
def _run_test(n, des, con):
import fiac_example
from fiac_example import GROUP_MASK
min_vals, max_vals = fiac_example.permutation_test(des, con,
GROUP_MASK, n)
return min_vals, max_vals
ar = dview.apply_async(_run_test, ns_nod, design, contrast)
min_vals, max_vals = zip(*list(ar))
return np.concatenate(min_vals), np.concatenate(max_vals)
#-----------------------------------------------------------------------------
# Script entry point
#-----------------------------------------------------------------------------
if __name__ == '__main__':
pass
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