def testTee():
'''
Creates a graph with two consumer nodes and a tee connection.
:rtype: the created graph
'''
graph = WorkflowGraph()
prod = t.TestProducer()
prev = prod
cons1 = t.TestOneInOneOut()
cons2 = t.TestOneInOneOut()
graph.connect(prod, 'output', cons1, 'input')
graph.connect(prod, 'output', cons2, 'input')
return graph
def testAlltoOne():
'''
Creates a graph with two consumer nodes and a global grouping.
:rtype: the created graph
'''
graph = WorkflowGraph()
prod = t.TestProducer()
cons1 = t.TestOneInOneOut()
cons2 = t.TestOneInOneOut()
cons1.numprocesses=5
cons2.numprocesses=5
graph.connect(prod, 'output', cons1, 'input')
cons2.inputconnections['input']['grouping'] = 'global'
graph.connect(cons1, 'output', cons2, 'input')
return graph
def testOnetoAll():
graph = WorkflowGraph()
prod = t.TestProducer()
cons = t.TestOneInOneOut()
cons.numprocesses = 2
cons.inputconnections['input']['grouping'] = 'all'
graph.connect(prod, 'output', cons, 'input')
return graph
def testParallelPipeline():
'''
Creates a graph with 4 nodes.
:rtype: the created graph
'''
graph = WorkflowGraph()
prod = t.TestProducer()
prev = prod
cons1 = t.TestOneInOneOut()
cons2 = t.TestOneInOneOut()
cons3 = t.TestOneInOneOut()
graph.connect(prod, 'output', cons1, 'input')
graph.connect(cons1, 'output', cons2, 'input')
graph.connect(cons1, 'output', cons3, 'input')
return graph
def testParallelPipeline():
'''
Creates the parallel pipeline graph with partitioning information.
:rtype: the created graph
'''
graph = WorkflowGraph()
prod = t.TestProducer()
prev = prod
cons1 = t.TestOneInOneOut()
cons2 = t.TestOneInOneOut()
cons3 = t.TestOneInOneOut()
graph.connect(prod, 'output', cons1, 'input')
graph.connect(cons1, 'output', cons2, 'input')
graph.connect(cons1, 'output', cons3, 'input')
graph.partitions = [ [prod, cons1, cons2], [cons3] ]
return graph
def testTee():
'''
Creates a graph with two consumer nodes and a tee connection.
:rtype: the created graph
'''
graph = WorkflowGraph()
try:
numIterations = int(sys.argv[4])
except:
numIterations = 1
prod = t.NumberProducer(numIterations)
prev = prod
cons1 = t.TestOneInOneOut()
cons2 = t.TestOneInOneOut()
cons3 = t.TestOneInOneOut()
graph.connect(prod, 'output', cons1, 'input')
graph.connect(cons1, 'output', cons2, 'input')
graph.connect(cons1, 'output', cons3, 'input')
return graph
def testPipeline(graph):
'''
Adds a pipeline to the given graph.
:rtype: the created graph
'''
prod = t.TestProducer()
prev = prod
for i in range(5):
cons = t.TestOneInOneOut()
graph.connect(prev, 'output', cons, 'input')
prev = cons
return graph
def testPipeline(graph):
'''
Creates a pipeline and adds it to the given graph.
:rtype: the modified graph
'''
prod = t.TestProducer()
prev = prod
part1 = [prod]
part2 = []
for i in range(5):
cons = t.TestOneInOneOut()
part2.append(cons)
graph.connect(prev, 'output', cons, 'input')
prev = cons
return graph
def testSplitMerge():
'''
Creates the split/merge graph with 4 nodes.
:rtype: the created graph
'''
graph = WorkflowGraph()
prod = t.TestProducer(2)
cons1 = t.TestOneInOneOut()
cons2 = t.TestOneInOneOutWriter()
last = t.TestTwoInOneOut()
graph.connect(prod, 'output0', cons1, 'input')
graph.connect(prod, 'output1', cons2, 'input')
graph.connect(cons1, 'output', last, 'input0')
graph.connect(cons2, 'output', last, 'input1')
return graph