from IPython import parallel
rc = parallel.Client()
dv = rc[:]
rc.ids

%px a=5

%px print a

%px a

with dv.sync_imports():
    import sys

%px print >> sys.stderr, "ERROR"

%pxconfig --noblock

%px import time
%px time.sleep(5)
%px time.time()

%pxresult

%pxconfig --block
%px %pylab inline

dv.scatter('id', dv.targets, flatten=True)
dv['stride'] = len(dv)

%%px --noblock
x = linspace(0,pi,1000)
for n in range(id,12, stride):
    print n
    plt.plot(x,sin(n*x))
plt.title("Plot %i" % id)

%pxresult

%%px --group-outputs=engine
x = linspace(0,pi,1000)
for n in range(id+1,12, stride):
    print n
    plt.figure()
    plt.plot(x,sin(n*x))
    plt.title("Plot %i" % n)

%pxresult --group-outputs=order

def generate_output():
    """function for testing output
    
    publishes two outputs of each type, and returns something
    """
    
    import sys,os
    from IPython.core.display import display, HTML, Math
    
    print "stdout"
    print >> sys.stderr, "stderr"
    
    display(HTML("<b>HTML</b>"))
    
    print "stdout2"
    print >> sys.stderr, "stderr2"
    
    display(Math(r"\alpha=\beta"))
    
    return os.getpid()

dv['generate_output'] = generate_output

e0 = rc[-1]
e0.block = True
e0.activate('0')

%px0 generate_output()

%px generate_output()

%pxresult --group-outputs order

%pxresult --group-outputs engine

%%px
from numpy.random import random
A = random((100,100,'invalid shape'))

%%px
%%timeit
from numpy.random import random
from numpy.linalg import norm
A = random((100,100))
norm(A, 2)