testMultiInputConcatenater.py

from builtins import object
###############################################################################
#   lazyflow: data flow based lazy parallel computation framework
#
#       Copyright (C) 2011-2014, the ilastik developers
#                                <team@ilastik.org>
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the Lesser GNU General Public License
# as published by the Free Software Foundation; either version 2.1
# of the License, or (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Lesser General Public License for more details.
#
# See the files LICENSE.lgpl2 and LICENSE.lgpl3 for full text of the
# GNU Lesser General Public License version 2.1 and 3 respectively.
# This information is also available on the ilastik web site at:
#		   http://ilastik.org/license/
###############################################################################
import numpy
from lazyflow.graph import Graph, OperatorWrapper
from lazyflow.operators import OpArrayPiper, OpMultiInputConcatenater

class TestMultiInputConcatenater(object):
    def test(self):
        g = Graph()
        
        array1 = numpy.zeros((1,1), dtype=float)
        array2 = numpy.ones((2,2), dtype=float)
        array3 = numpy.zeros((3,3), dtype=float)
        
        array4 = numpy.zeros((4,4), dtype=float)
        array5 = numpy.zeros((5,5), dtype=float)
        array6 = numpy.zeros((6,6), dtype=float)
        
        array2[0,0] = 0.123
        array6[0,0] = 0.456
        
        opIn0Provider = OperatorWrapper( OpArrayPiper, graph=g )
        
        # We will provide 2 lists to concatenate
        # The first is provided by a separate operator which we set up in advance
        opIn0Provider.Input.resize(3)
        opIn0Provider.Input[0].setValue( array1 )
        opIn0Provider.Input[1].setValue( array2 )
        opIn0Provider.Input[2].setValue( array3 )
        
        op = OpMultiInputConcatenater(graph=g)
        op.Inputs.resize(2) # Two lists to concatenate
        
        # Connect the first list
        op.Inputs[0].connect( opIn0Provider.Output )
        
        # Set up the second list directly via setValue() (no external operator)
        op.Inputs[1].resize(3)
        op.Inputs[1][0].setValue( array4 )
        op.Inputs[1][1].setValue( array5 )
        op.Inputs[1][2].setValue( array6 )
        
        #print op.Inputs[0][0].meta
        #print op.Inputs[0][1].meta
        #print op.Inputs[0][2].meta
        #print op.Output[0].meta
        #print op.Output[1].meta
        #print op.Output[2].meta
        
        assert len(op.Output) == 6
        assert op.Output[0].meta.shape == array1.shape
        assert op.Output[5].meta.shape == array6.shape
        
        assert numpy.all(op.Output[1][...].wait() == array2[...])
        assert numpy.all(op.Output[5][...].wait() == array6[...])
        
        op.Inputs[0].removeSlot(1, 2)
        
        #print len(op.Output)
        assert len(op.Output) == 5
        assert op.Output[0].meta.shape == array1.shape
        assert op.Output[4].meta.shape == array6.shape
        
        assert numpy.all(op.Output[1][...].wait() == array3[...])
        assert numpy.all(op.Output[4][...].wait() == array6[...])

if __name__ == "__main__":
    import sys
    import nose
    sys.argv.append("--nocapture")    # Don't steal stdout.  Show it on the console as usual.
    sys.argv.append("--nologcapture") # Don't set the logging level to DEBUG.  Leave it alone.
    ret = nose.run(defaultTest=__file__)
    if not ret: sys.exit(1)