def test_execute_all(self, qtbot, sum_op, square_op, negative_op):
results = [{"negative": (1 + 2) ** 2 * -1},
{"negative": (3 + 4) ** 2 * -1},
{"negative": (5 + 6) ** 2 * -1}]
def cb(*result):
next_result = results.pop(0)
assert result == next_result
workflow = Workflow()
workflow.add_operations(sum_op, square_op, negative_op)
workflow.add_link(sum_op, square_op, "sum", "n")
workflow.add_link(square_op, negative_op, "square", "num")
n1_values = [1, 3, 5]
n2_values = [2, 4, 6]
# TODO -- we are only getting one result, should get three (3 pairs of n1/n2).
workflow.execute_all(callback_slot=cb, n1=n1_values, n2=n2_values).result()
def doReduceWorkflow(self, workflow: Workflow):
multimode = self.reduceplot.toolbar.multiplot.isChecked()
currentwidget = self.reducetabview.currentWidget()
data = currentwidget.header.meta_array('primary')
if not multimode:
data = [data[currentwidget.timeIndex(currentwidget.timeLine)[0]]]
ai = self.calibrationsettings.AI('pilatus2M')
ai.detector = detectors.Pilatus2M()
ai = [ai] * len(data)
mask = [self.maskingworkflow.lastresult[0]['mask'].value if self.maskingworkflow.lastresult else None] * len(
data)
outputwidget = self.reduceplot
outputwidget.clear()
def showReduce(*results):
outputwidget.appendResult(results)
workflow.execute_all(None, data=data, ai=ai, mask=mask, callback_slot=showReduce, threadkey='reduce')
def test_execute_all(self, sum_op, square_op, negative_op):
workflow = Workflow()
workflow.add_operations(sum_op, square_op, negative_op)
workflow.add_link(sum_op, square_op, "sum", "n")
workflow.add_link(square_op, negative_op, "square", "num")
n1_values = [1, 3, 5]
n2_values = [2, 4, 6]
# TODO -- we are only getting one result, should get three (3 pairs of n1/n2).
results = list(
workflow.execute_all(n1=n1_values, n2=n2_values).result())
assert results == [{
"negative": (1 + 2)**2 * -1
}, {
"negative": (3 + 4)**2 * -1
}, {
"negative": (5 + 6)**2 * -1
}]