Python: Use _one_ parameter position for normal parameters #12468
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That can be used with both positional and keyword arguments. Before we provided BOTH a positional and keyword parameter position, which broke some assumptions in the dataflow library.
Having these tests show all the synthetic nodes from flow-summaries seems like it will become very annoying once we start expanding the amount of flow summaries.
RasmusWL
commented
Mar 16, 2023
Comment on lines
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| TNormalParameterPosition(int index, string name) { | ||
| exists(Function f, Parameter p, int indexOffset | | ||
| p = f.getArg(index + indexOffset) and | ||
| p = f.getArgByName(name) and | ||
| indexOffset = any(DataFlowFunction dff | dff.getScope() = f).positionalOffset() and | ||
| // for things that will be considered a self parameter, we do not need to create a | ||
| // parameter position | ||
| index >= 0 | ||
| ) | ||
| } or |
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Maybe I should have explained better that for the method definition below, we need to take care for the self parameter, so want to have TNormalParameterPosition(0, "arg").
class Foo:
def meth(self, arg): pass
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That can be used with both positional and keyword arguments. Before we provided BOTH a positional and keyword parameter position, which broke some assumptions in the dataflow library.
(Created as draft to see effect before requesting review)