Add get_param_names to the function execution, which is needed to do some filtering

jedi/inference/dynamic_params.py

@@ -208,9 +208,7 @@ def _check_name_for_execution(inference_state, context, compare_node, name, trai
             # Here we're trying to find decorators by checking the first
             # parameter. It's not very generic though. Should find a better
             # solution that also applies to nested decorators.
-            # TODO private access
+            param_names = value.parent_context.get_param_names()
-            param_names, _ = value.parent_context._arguments.get_executed_param_names_and_issues(
-            value.parent_context._value)
             if len(param_names) != 1:
                 continue
             values = param_names[0].infer()

jedi/inference/value/function.py

@@ -10,7 +10,8 @@ from jedi.inference import flow_analysis
 from jedi.inference.signature import TreeSignature
 from jedi.inference.arguments import AnonymousArguments
 from jedi.inference.filters import ParserTreeFilter, FunctionExecutionFilter
-from jedi.inference.names import ValueName, AbstractNameDefinition, SimpleParamName
+from jedi.inference.names import ValueName, AbstractNameDefinition, \
+    SimpleParamName, ParamName
 from jedi.inference.base_value import ContextualizedNode, NO_VALUES, \
     ValueSet, TreeValue, ValueWrapper
 from jedi.inference.lazy_value import LazyKnownValues, LazyKnownValue, \
@@ -323,6 +324,15 @@ class FunctionExecutionContext(ValueContext, TreeContextMixin):
             else:
                 return self.get_return_values()
 
+    def get_param_names(self):
+        if self._arguments is None:
+            return self._value.get_param_names()
+        else:
+            return [
+                ParamName(self._value, param.name, self._arguments)
+                for param in self._value.tree_node.get_params()
+            ]
+
 
 class OverloadedFunctionValue(FunctionMixin, ValueWrapper):
     def __init__(self, function, overloaded_functions):