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Direktori : /opt/cloudlinux/venv/lib64/python3.11/site-packages/astroid/ |
Current File : //opt/cloudlinux/venv/lib64/python3.11/site-packages/astroid/helpers.py |
# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html # For details: https://github.com/PyCQA/astroid/blob/main/LICENSE # Copyright (c) https://github.com/PyCQA/astroid/blob/main/CONTRIBUTORS.txt """Various helper utilities.""" from __future__ import annotations from collections.abc import Generator from astroid import bases, manager, nodes, objects, raw_building, util from astroid.context import CallContext, InferenceContext from astroid.exceptions import ( AstroidTypeError, AttributeInferenceError, InferenceError, MroError, _NonDeducibleTypeHierarchy, ) from astroid.nodes import scoped_nodes from astroid.typing import InferenceResult, SuccessfulInferenceResult def _build_proxy_class(cls_name: str, builtins: nodes.Module) -> nodes.ClassDef: proxy = raw_building.build_class(cls_name) proxy.parent = builtins return proxy def _function_type( function: nodes.Lambda | bases.UnboundMethod, builtins: nodes.Module ) -> nodes.ClassDef: if isinstance(function, scoped_nodes.Lambda): if function.root().name == "builtins": cls_name = "builtin_function_or_method" else: cls_name = "function" elif isinstance(function, bases.BoundMethod): cls_name = "method" else: cls_name = "function" return _build_proxy_class(cls_name, builtins) def _object_type( node: SuccessfulInferenceResult, context: InferenceContext | None = None ) -> Generator[InferenceResult | None, None, None]: astroid_manager = manager.AstroidManager() builtins = astroid_manager.builtins_module context = context or InferenceContext() for inferred in node.infer(context=context): if isinstance(inferred, scoped_nodes.ClassDef): if inferred.newstyle: metaclass = inferred.metaclass(context=context) if metaclass: yield metaclass continue yield builtins.getattr("type")[0] elif isinstance(inferred, (scoped_nodes.Lambda, bases.UnboundMethod)): yield _function_type(inferred, builtins) elif isinstance(inferred, scoped_nodes.Module): yield _build_proxy_class("module", builtins) elif isinstance(inferred, nodes.Unknown): raise InferenceError elif isinstance(inferred, util.UninferableBase): yield inferred elif isinstance(inferred, (bases.Proxy, nodes.Slice, objects.Super)): yield inferred._proxied else: # pragma: no cover raise AssertionError(f"We don't handle {type(inferred)} currently") def object_type( node: SuccessfulInferenceResult, context: InferenceContext | None = None ) -> InferenceResult | None: """Obtain the type of the given node. This is used to implement the ``type`` builtin, which means that it's used for inferring type calls, as well as used in a couple of other places in the inference. The node will be inferred first, so this function can support all sorts of objects, as long as they support inference. """ try: types = set(_object_type(node, context)) except InferenceError: return util.Uninferable if len(types) > 1 or not types: return util.Uninferable return list(types)[0] def _object_type_is_subclass( obj_type, class_or_seq, context: InferenceContext | None = None ): if not isinstance(class_or_seq, (tuple, list)): class_seq = (class_or_seq,) else: class_seq = class_or_seq if isinstance(obj_type, util.UninferableBase): return util.Uninferable # Instances are not types class_seq = [ item if not isinstance(item, bases.Instance) else util.Uninferable for item in class_seq ] # strict compatibility with issubclass # issubclass(type, (object, 1)) evaluates to true # issubclass(object, (1, type)) raises TypeError for klass in class_seq: if isinstance(klass, util.UninferableBase): raise AstroidTypeError("arg 2 must be a type or tuple of types") for obj_subclass in obj_type.mro(): if obj_subclass == klass: return True return False def object_isinstance(node, class_or_seq, context: InferenceContext | None = None): """Check if a node 'isinstance' any node in class_or_seq. :param node: A given node :param class_or_seq: Union[nodes.NodeNG, Sequence[nodes.NodeNG]] :rtype: bool :raises AstroidTypeError: if the given ``classes_or_seq`` are not types """ obj_type = object_type(node, context) if isinstance(obj_type, util.UninferableBase): return util.Uninferable return _object_type_is_subclass(obj_type, class_or_seq, context=context) def object_issubclass(node, class_or_seq, context: InferenceContext | None = None): """Check if a type is a subclass of any node in class_or_seq. :param node: A given node :param class_or_seq: Union[Nodes.NodeNG, Sequence[nodes.NodeNG]] :rtype: bool :raises AstroidTypeError: if the given ``classes_or_seq`` are not types :raises AstroidError: if the type of the given node cannot be inferred or its type's mro doesn't work """ if not isinstance(node, nodes.ClassDef): raise TypeError(f"{node} needs to be a ClassDef node") return _object_type_is_subclass(node, class_or_seq, context=context) def safe_infer( node: nodes.NodeNG | bases.Proxy, context: InferenceContext | None = None ) -> InferenceResult | None: """Return the inferred value for the given node. Return None if inference failed or if there is some ambiguity (more than one node has been inferred). """ try: inferit = node.infer(context=context) value = next(inferit) except (InferenceError, StopIteration): return None try: next(inferit) return None # None if there is ambiguity on the inferred node except InferenceError: return None # there is some kind of ambiguity except StopIteration: return value def has_known_bases(klass, context: InferenceContext | None = None) -> bool: """Return whether all base classes of a class could be inferred.""" try: return klass._all_bases_known except AttributeError: pass for base in klass.bases: result = safe_infer(base, context=context) # TODO: check for A->B->A->B pattern in class structure too? if ( not isinstance(result, scoped_nodes.ClassDef) or result is klass or not has_known_bases(result, context=context) ): klass._all_bases_known = False return False klass._all_bases_known = True return True def _type_check(type1, type2) -> bool: if not all(map(has_known_bases, (type1, type2))): raise _NonDeducibleTypeHierarchy if not all([type1.newstyle, type2.newstyle]): return False try: return type1 in type2.mro()[:-1] except MroError as e: # The MRO is invalid. raise _NonDeducibleTypeHierarchy from e def is_subtype(type1, type2) -> bool: """Check if *type1* is a subtype of *type2*.""" return _type_check(type1=type2, type2=type1) def is_supertype(type1, type2) -> bool: """Check if *type2* is a supertype of *type1*.""" return _type_check(type1, type2) def class_instance_as_index(node: SuccessfulInferenceResult) -> nodes.Const | None: """Get the value as an index for the given instance. If an instance provides an __index__ method, then it can be used in some scenarios where an integer is expected, for instance when multiplying or subscripting a list. """ context = InferenceContext() try: for inferred in node.igetattr("__index__", context=context): if not isinstance(inferred, bases.BoundMethod): continue context.boundnode = node context.callcontext = CallContext(args=[], callee=inferred) for result in inferred.infer_call_result(node, context=context): if isinstance(result, nodes.Const) and isinstance(result.value, int): return result except InferenceError: pass return None def object_len(node, context: InferenceContext | None = None): """Infer length of given node object. :param Union[nodes.ClassDef, nodes.Instance] node: :param node: Node to infer length of :raises AstroidTypeError: If an invalid node is returned from __len__ method or no __len__ method exists :raises InferenceError: If the given node cannot be inferred or if multiple nodes are inferred or if the code executed in python would result in a infinite recursive check for length :rtype int: Integer length of node """ # pylint: disable=import-outside-toplevel; circular import from astroid.objects import FrozenSet inferred_node = safe_infer(node, context=context) # prevent self referential length calls from causing a recursion error # see https://github.com/PyCQA/astroid/issues/777 node_frame = node.frame(future=True) if ( isinstance(node_frame, scoped_nodes.FunctionDef) and node_frame.name == "__len__" and hasattr(inferred_node, "_proxied") and inferred_node._proxied == node_frame.parent ): message = ( "Self referential __len__ function will " "cause a RecursionError on line {} of {}".format( node.lineno, node.root().file ) ) raise InferenceError(message) if inferred_node is None or isinstance(inferred_node, util.UninferableBase): raise InferenceError(node=node) if isinstance(inferred_node, nodes.Const) and isinstance( inferred_node.value, (bytes, str) ): return len(inferred_node.value) if isinstance(inferred_node, (nodes.List, nodes.Set, nodes.Tuple, FrozenSet)): return len(inferred_node.elts) if isinstance(inferred_node, nodes.Dict): return len(inferred_node.items) node_type = object_type(inferred_node, context=context) if not node_type: raise InferenceError(node=node) try: len_call = next(node_type.igetattr("__len__", context=context)) except StopIteration as e: raise AstroidTypeError(str(e)) from e except AttributeInferenceError as e: raise AstroidTypeError( f"object of type '{node_type.pytype()}' has no len()" ) from e inferred = len_call.infer_call_result(node, context) if isinstance(inferred, util.UninferableBase): raise InferenceError(node=node, context=context) result_of_len = next(inferred, None) if ( isinstance(result_of_len, nodes.Const) and result_of_len.pytype() == "builtins.int" ): return result_of_len.value if ( result_of_len is None or isinstance(result_of_len, bases.Instance) and result_of_len.is_subtype_of("builtins.int") ): # Fake a result as we don't know the arguments of the instance call. return 0 raise AstroidTypeError( f"'{result_of_len}' object cannot be interpreted as an integer" )