def count_by_group():
composite = CompositePE()
count = CountByGroup()
merge = CountByGroup()
merge._add_input('input', grouping='global')
composite.connect(count, 'output', merge, 'input')
composite._map_input('input', count, 'input')
composite._map_output('output', merge, 'output')
return composite
def testComposite():
comp = CompositePE()
cons1 = TestOneInOneOut()
cons2 = TestOneInOneOut()
comp.connect(cons1, "output", cons2, "input")
comp._map_input("comp_input", cons1, "input")
comp._map_output("comp_output", cons2, "output")
prod = TestProducer()
cons = TestOneInOneOut()
graph = WorkflowGraph()
graph.connect(prod, "output", comp, "comp_input")
graph.connect(comp, "comp_output", cons, "input")
graph.flatten()
results = simple_process.process_and_return(graph, {prod: 10})
tools.eq_({cons.id: {"output": list(range(1, 11))}}, results)
def testComposite():
comp = CompositePE()
cons1 = TestOneInOneOut()
cons2 = TestOneInOneOut()
comp.connect(cons1, 'output', cons2, 'input')
comp._map_input('comp_input', cons1, 'input')
comp._map_output('comp_output', cons2, 'output')
prod = TestProducer()
cons = TestOneInOneOut()
graph = WorkflowGraph()
graph.connect(prod, 'output', comp, 'comp_input')
graph.connect(comp, 'comp_output', cons, 'input')
graph.flatten()
results = simple_process.process_and_return(graph, {prod: 10})
tools.eq_({cons.id: {'output': list(range(1, 11))}}, results)