forked from VimPlug/jedi
context -> value
This commit is contained in:
@@ -21,7 +21,7 @@ from jedi import debug
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from jedi import parser_utils
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def infer_annotation(context, annotation):
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def infer_annotation(value, annotation):
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"""
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Inferes an annotation node. This means that it inferes the part of
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`int` here:
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@@ -30,37 +30,37 @@ def infer_annotation(context, annotation):
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Also checks for forward references (strings)
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"""
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context_set = context.infer_node(annotation)
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if len(context_set) != 1:
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value_set = value.infer_node(annotation)
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if len(value_set) != 1:
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debug.warning("Inferred typing index %s should lead to 1 object, "
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" not %s" % (annotation, context_set))
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return context_set
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" not %s" % (annotation, value_set))
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return value_set
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inferred_context = list(context_set)[0]
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if is_string(inferred_context):
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result = _get_forward_reference_node(context, inferred_context.get_safe_value())
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inferred_value = list(value_set)[0]
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if is_string(inferred_value):
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result = _get_forward_reference_node(value, inferred_value.get_safe_value())
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if result is not None:
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return context.infer_node(result)
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return context_set
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return value.infer_node(result)
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return value_set
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def _infer_annotation_string(context, string, index=None):
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node = _get_forward_reference_node(context, string)
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def _infer_annotation_string(value, string, index=None):
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node = _get_forward_reference_node(value, string)
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if node is None:
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return NO_CONTEXTS
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context_set = context.infer_node(node)
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value_set = value.infer_node(node)
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if index is not None:
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context_set = context_set.filter(
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lambda context: context.array_type == u'tuple' # noqa
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and len(list(context.py__iter__())) >= index
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value_set = value_set.filter(
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lambda value: value.array_type == u'tuple' # noqa
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and len(list(value.py__iter__())) >= index
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).py__simple_getitem__(index)
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return context_set
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return value_set
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def _get_forward_reference_node(context, string):
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def _get_forward_reference_node(value, string):
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try:
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new_node = context.infer_state.grammar.parse(
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new_node = value.infer_state.grammar.parse(
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force_unicode(string),
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start_symbol='eval_input',
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error_recovery=False
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@@ -69,9 +69,9 @@ def _get_forward_reference_node(context, string):
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debug.warning('Annotation not parsed: %s' % string)
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return None
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else:
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module = context.tree_node.get_root_node()
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module = value.tree_node.get_root_node()
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parser_utils.move(new_node, module.end_pos[0])
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new_node.parent = context.tree_node
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new_node.parent = value.tree_node
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return new_node
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@@ -107,26 +107,26 @@ def _split_comment_param_declaration(decl_text):
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@infer_state_method_cache()
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def infer_param(execution_context, param):
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contexts = _infer_param(execution_context, param)
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infer_state = execution_context.infer_state
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def infer_param(execution_value, param):
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values = _infer_param(execution_value, param)
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infer_state = execution_value.infer_state
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if param.star_count == 1:
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tuple_ = builtin_from_name(infer_state, 'tuple')
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return ContextSet([GenericClass(
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tuple_,
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generics=(contexts,),
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) for c in contexts])
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generics=(values,),
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) for c in values])
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elif param.star_count == 2:
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dct = builtin_from_name(infer_state, 'dict')
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return ContextSet([GenericClass(
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dct,
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generics=(ContextSet([builtin_from_name(infer_state, 'str')]), contexts),
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) for c in contexts])
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generics=(ContextSet([builtin_from_name(infer_state, 'str')]), values),
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) for c in values])
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pass
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return contexts
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return values
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def _infer_param(execution_context, param):
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def _infer_param(execution_value, param):
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"""
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Infers the type of a function parameter, using type annotations.
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"""
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@@ -158,8 +158,8 @@ def _infer_param(execution_context, param):
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"Comments length != Params length %s %s",
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params_comments, all_params
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)
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from jedi.inference.context.instance import InstanceArguments
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if isinstance(execution_context.var_args, InstanceArguments):
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from jedi.inference.value.instance import InstanceArguments
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if isinstance(execution_value.var_args, InstanceArguments):
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if index == 0:
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# Assume it's self, which is already handled
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return NO_CONTEXTS
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@@ -169,12 +169,12 @@ def _infer_param(execution_context, param):
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param_comment = params_comments[index]
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return _infer_annotation_string(
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execution_context.function_context.get_default_param_context(),
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execution_value.function_value.get_default_param_value(),
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param_comment
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)
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# Annotations are like default params and resolve in the same way.
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context = execution_context.function_context.get_default_param_context()
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return infer_annotation(context, annotation)
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value = execution_value.function_value.get_default_param_value()
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return infer_annotation(value, annotation)
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def py__annotations__(funcdef):
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@@ -191,16 +191,16 @@ def py__annotations__(funcdef):
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@infer_state_method_cache()
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def infer_return_types(function_execution_context):
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def infer_return_types(function_execution_value):
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"""
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Infers the type of a function's return value,
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according to type annotations.
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"""
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all_annotations = py__annotations__(function_execution_context.tree_node)
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all_annotations = py__annotations__(function_execution_value.tree_node)
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annotation = all_annotations.get("return", None)
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if annotation is None:
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# If there is no Python 3-type annotation, look for a Python 2-type annotation
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node = function_execution_context.tree_node
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node = function_execution_value.tree_node
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comment = parser_utils.get_following_comment_same_line(node)
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if comment is None:
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return NO_CONTEXTS
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@@ -210,28 +210,28 @@ def infer_return_types(function_execution_context):
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return NO_CONTEXTS
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return _infer_annotation_string(
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function_execution_context.function_context.get_default_param_context(),
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function_execution_value.function_value.get_default_param_value(),
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match.group(1).strip()
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).execute_annotation()
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if annotation is None:
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return NO_CONTEXTS
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context = function_execution_context.function_context.get_default_param_context()
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unknown_type_vars = list(find_unknown_type_vars(context, annotation))
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annotation_contexts = infer_annotation(context, annotation)
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value = function_execution_value.function_value.get_default_param_value()
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unknown_type_vars = list(find_unknown_type_vars(value, annotation))
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annotation_values = infer_annotation(value, annotation)
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if not unknown_type_vars:
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return annotation_contexts.execute_annotation()
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return annotation_values.execute_annotation()
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type_var_dict = infer_type_vars_for_execution(function_execution_context, all_annotations)
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type_var_dict = infer_type_vars_for_execution(function_execution_value, all_annotations)
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return ContextSet.from_sets(
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ann.define_generics(type_var_dict)
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if isinstance(ann, (AbstractAnnotatedClass, TypeVar)) else ContextSet({ann})
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for ann in annotation_contexts
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for ann in annotation_values
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).execute_annotation()
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def infer_type_vars_for_execution(execution_context, annotation_dict):
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def infer_type_vars_for_execution(execution_value, annotation_dict):
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"""
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Some functions use type vars that are not defined by the class, but rather
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only defined in the function. See for example `iter`. In those cases we
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@@ -241,48 +241,48 @@ def infer_type_vars_for_execution(execution_context, annotation_dict):
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2. Infer type vars with the execution state we have.
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3. Return the union of all type vars that have been found.
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"""
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context = execution_context.function_context.get_default_param_context()
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value = execution_value.function_value.get_default_param_value()
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annotation_variable_results = {}
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executed_params, _ = execution_context.get_executed_params_and_issues()
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executed_params, _ = execution_value.get_executed_params_and_issues()
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for executed_param in executed_params:
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try:
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annotation_node = annotation_dict[executed_param.string_name]
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except KeyError:
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continue
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annotation_variables = find_unknown_type_vars(context, annotation_node)
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annotation_variables = find_unknown_type_vars(value, annotation_node)
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if annotation_variables:
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# Infer unknown type var
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annotation_context_set = context.infer_node(annotation_node)
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annotation_value_set = value.infer_node(annotation_node)
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star_count = executed_param._param_node.star_count
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actual_context_set = executed_param.infer(use_hints=False)
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actual_value_set = executed_param.infer(use_hints=False)
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if star_count == 1:
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actual_context_set = actual_context_set.merge_types_of_iterate()
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actual_value_set = actual_value_set.merge_types_of_iterate()
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elif star_count == 2:
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# TODO _dict_values is not public.
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actual_context_set = actual_context_set.try_merge('_dict_values')
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for ann in annotation_context_set:
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actual_value_set = actual_value_set.try_merge('_dict_values')
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for ann in annotation_value_set:
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_merge_type_var_dicts(
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annotation_variable_results,
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_infer_type_vars(ann, actual_context_set),
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_infer_type_vars(ann, actual_value_set),
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)
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return annotation_variable_results
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def _merge_type_var_dicts(base_dict, new_dict):
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for type_var_name, contexts in new_dict.items():
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for type_var_name, values in new_dict.items():
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try:
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base_dict[type_var_name] |= contexts
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base_dict[type_var_name] |= values
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except KeyError:
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base_dict[type_var_name] = contexts
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base_dict[type_var_name] = values
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def _infer_type_vars(annotation_context, context_set):
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def _infer_type_vars(annotation_value, value_set):
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"""
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This function tries to find information about undefined type vars and
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returns a dict from type var name to context set.
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returns a dict from type var name to value set.
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This is for example important to understand what `iter([1])` returns.
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According to typeshed, `iter` returns an `Iterator[_T]`:
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@@ -293,66 +293,66 @@ def _infer_type_vars(annotation_context, context_set):
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unpacks the `Iterable`.
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"""
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type_var_dict = {}
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if isinstance(annotation_context, TypeVar):
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return {annotation_context.py__name__(): context_set.py__class__()}
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elif isinstance(annotation_context, LazyGenericClass):
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name = annotation_context.py__name__()
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if isinstance(annotation_value, TypeVar):
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return {annotation_value.py__name__(): value_set.py__class__()}
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elif isinstance(annotation_value, LazyGenericClass):
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name = annotation_value.py__name__()
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if name == 'Iterable':
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given = annotation_context.get_generics()
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given = annotation_value.get_generics()
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if given:
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for nested_annotation_context in given[0]:
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for nested_annotation_value in given[0]:
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_merge_type_var_dicts(
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type_var_dict,
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_infer_type_vars(
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nested_annotation_context,
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context_set.merge_types_of_iterate()
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nested_annotation_value,
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value_set.merge_types_of_iterate()
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)
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)
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elif name == 'Mapping':
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given = annotation_context.get_generics()
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given = annotation_value.get_generics()
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if len(given) == 2:
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for context in context_set:
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for value in value_set:
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try:
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method = context.get_mapping_item_contexts
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method = value.get_mapping_item_values
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except AttributeError:
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continue
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key_contexts, value_contexts = method()
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key_values, value_values = method()
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for nested_annotation_context in given[0]:
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for nested_annotation_value in given[0]:
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_merge_type_var_dicts(
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type_var_dict,
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_infer_type_vars(
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nested_annotation_context,
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key_contexts,
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nested_annotation_value,
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key_values,
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)
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)
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for nested_annotation_context in given[1]:
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for nested_annotation_value in given[1]:
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_merge_type_var_dicts(
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type_var_dict,
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_infer_type_vars(
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nested_annotation_context,
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value_contexts,
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nested_annotation_value,
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value_values,
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)
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)
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return type_var_dict
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def find_type_from_comment_hint_for(context, node, name):
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return _find_type_from_comment_hint(context, node, node.children[1], name)
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def find_type_from_comment_hint_for(value, node, name):
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return _find_type_from_comment_hint(value, node, node.children[1], name)
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def find_type_from_comment_hint_with(context, node, name):
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def find_type_from_comment_hint_with(value, node, name):
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assert len(node.children[1].children) == 3, \
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"Can only be here when children[1] is 'foo() as f'"
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varlist = node.children[1].children[2]
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return _find_type_from_comment_hint(context, node, varlist, name)
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return _find_type_from_comment_hint(value, node, varlist, name)
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def find_type_from_comment_hint_assign(context, node, name):
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return _find_type_from_comment_hint(context, node, node.children[0], name)
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def find_type_from_comment_hint_assign(value, node, name):
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return _find_type_from_comment_hint(value, node, node.children[0], name)
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def _find_type_from_comment_hint(context, node, varlist, name):
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def _find_type_from_comment_hint(value, node, varlist, name):
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index = None
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if varlist.type in ("testlist_star_expr", "exprlist", "testlist"):
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# something like "a, b = 1, 2"
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@@ -373,11 +373,11 @@ def _find_type_from_comment_hint(context, node, varlist, name):
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if match is None:
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return []
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return _infer_annotation_string(
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context, match.group(1).strip(), index
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value, match.group(1).strip(), index
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).execute_annotation()
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def find_unknown_type_vars(context, node):
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def find_unknown_type_vars(value, node):
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def check_node(node):
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if node.type in ('atom_expr', 'power'):
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trailer = node.children[-1]
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@@ -385,7 +385,7 @@ def find_unknown_type_vars(context, node):
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for subscript_node in _unpack_subscriptlist(trailer.children[1]):
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check_node(subscript_node)
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else:
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type_var_set = context.infer_node(node)
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type_var_set = value.infer_node(node)
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for type_var in type_var_set:
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if isinstance(type_var, TypeVar) and type_var not in found:
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found.append(type_var)
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