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Backport PR #2924: safe_run_module: Silence SystemExit codes 0 and None....
Backport PR #2924: safe_run_module: Silence SystemExit codes 0 and None. In `safe_execfile` we ignore SystemExit exceptions with codes 0 and 1. We don't do this for `safe_run_module` which leads to the following mismatch of tracebacks between Python and IPython: ``` $ cat > exit0.py import sys sys.exit(0) $ python -m exit0 $ ipython -m exit0 --------------------------------------------------------------------------- SystemExit Traceback (most recent call last) /usr/lib/python2.7/runpy.pyc in run_module(mod_name, init_globals, run_name, alter_sys) 174 if alter_sys: 175 return _run_module_code(code, init_globals, run_name, --> 176 fname, loader, pkg_name) 177 else: 178 # Leave the sys module alone /usr/lib/python2.7/runpy.pyc in _run_module_code(code, init_globals, mod_name, mod_fname, mod_loader, pkg_name) 80 mod_globals = temp_module.module.__dict__ 81 _run_code(code, mod_globals, init_globals, ---> 82 mod_name, mod_fname, mod_loader, pkg_name) 83 # Copy the globals of the temporary module, as they 84 # may be cleared when the temporary module goes away /usr/lib/python2.7/runpy.pyc in _run_code(code, run_globals, init_globals, mod_name, mod_fname, mod_loader, pkg_name) 70 __loader__ = mod_loader, 71 __package__ = pkg_name) ---> 72 exec code in run_globals 73 return run_globals 74 /tmp/exit0.py in <module>() 1 import sys ----> 2 sys.exit(0) SystemExit: 0 WARNING: Unknown failure executing module: <exit0> ``` The attached pull request silences SystemExit exceptions with codes 0 and None.
Fernando Perez - - Load All Authors

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phistogram.py
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/ docs / examples / parallel / phistogram.py
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"""Parallel histogram function"""
import numpy
from IPython.parallel import Reference
def phistogram(view, a, bins=10, rng=None, normed=False):
"""Compute the histogram of a remote array a.
Parameters
----------
view
IPython DirectView instance
a : str
String name of the remote array
bins : int
Number of histogram bins
rng : (float, float)
Tuple of min, max of the range to histogram
normed : boolean
Should the histogram counts be normalized to 1
"""
nengines = len(view.targets)
# view.push(dict(bins=bins, rng=rng))
with view.sync_imports():
import numpy
rets = view.apply_sync(lambda a, b, rng: numpy.histogram(a,b,rng), Reference(a), bins, rng)
hists = [ r[0] for r in rets ]
lower_edges = [ r[1] for r in rets ]
# view.execute('hist, lower_edges = numpy.histogram(%s, bins, rng)' % a)
lower_edges = view.pull('lower_edges', targets=0)
hist_array = numpy.array(hists).reshape(nengines, -1)
# hist_array.shape = (nengines,-1)
total_hist = numpy.sum(hist_array, 0)
if normed:
total_hist = total_hist/numpy.sum(total_hist,dtype=float)
return total_hist, lower_edges