Move iter_over_arguments to a separate file

jedi/inference/gradual/base.py

@@ -3,35 +3,11 @@ from jedi.inference.base_value import ValueSet, NO_VALUES, Value, \
     iterator_to_value_set, LazyValueWrapper, ValueWrapper
 from jedi.inference.compiled import builtin_from_name
 from jedi.inference.value.klass import ClassFilter
-from jedi.inference.value.iterable import SequenceLiteralValue
 from jedi.inference.value.klass import ClassMixin
 from jedi.inference.utils import to_list
 from jedi.inference.names import AbstractNameDefinition, ValueName
 from jedi.inference.context import ClassContext
-from jedi.inference.helpers import is_string
-
-
-def iter_over_arguments(maybe_tuple_value, defining_context):
-    def iterate():
-        if isinstance(maybe_tuple_value, SequenceLiteralValue):
-            for lazy_value in maybe_tuple_value.py__iter__(contextualized_node=None):
-                yield lazy_value.infer()
-        else:
-            yield ValueSet([maybe_tuple_value])
-
-    def resolve_forward_references(value_set):
-        for value in value_set:
-            if is_string(value):
-                from jedi.inference.gradual.annotation import _get_forward_reference_node
-                node = _get_forward_reference_node(defining_context, value.get_safe_value())
-                if node is not None:
-                    for c in defining_context.infer_node(node):
-                        yield c
-            else:
-                yield value
-
-    for value_set in iterate():
-        yield ValueSet(resolve_forward_references(value_set))
+from jedi.inference.gradual.generics import iter_over_arguments
 
 
 class BaseTypingValue(Value):

jedi/inference/gradual/generics.py

@@ -0,0 +1,27 @@
+from jedi.inference.base_value import ValueSet, Value, \
+    iterator_to_value_set, LazyValueWrapper, ValueWrapper
+from jedi.inference.value.iterable import SequenceLiteralValue
+from jedi.inference.helpers import is_string
+
+
+def iter_over_arguments(maybe_tuple_value, defining_context):
+    def iterate():
+        if isinstance(maybe_tuple_value, SequenceLiteralValue):
+            for lazy_value in maybe_tuple_value.py__iter__(contextualized_node=None):
+                yield lazy_value.infer()
+        else:
+            yield ValueSet([maybe_tuple_value])
+
+    def resolve_forward_references(value_set):
+        for value in value_set:
+            if is_string(value):
+                from jedi.inference.gradual.annotation import _get_forward_reference_node
+                node = _get_forward_reference_node(defining_context, value.get_safe_value())
+                if node is not None:
+                    for c in defining_context.infer_node(node):
+                        yield c
+            else:
+                yield value
+
+    for value_set in iterate():
+        yield ValueSet(resolve_forward_references(value_set))

jedi/inference/gradual/typing.py

@@ -18,7 +18,7 @@ from jedi.inference.names import NameWrapper, ValueName
 from jedi.inference.value.klass import ClassMixin
 from jedi.inference.gradual.base import BaseTypingValue
 from jedi.inference.gradual.type_var import TypeVarClass
-from jedi.inference.gradual.base import iter_over_arguments
+from jedi.inference.gradual.generics import iter_over_arguments
 
 _PROXY_CLASS_TYPES = 'Tuple Generic Protocol Callable Type'.split()
 _TYPE_ALIAS_TYPES = {