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Þ'¯°ÌME[YéïĵÂCå½ Ué©Áû'Ê9%eÔðNU”ë‘ÌsD3/®+UI˜9h.WC”빓$#:pz:YÓ ¿xž* ³$Í +$kñAŠ‹†¢ Uê>¸)_š¬÷©ßAÂÔb9ÇU ¯¾á•9¯ÏÏ÷O÷¼¼Fähal1‰3Ì[Ïr•´UCksNÐ] R‘¸¥H+§Šé†c©vÖÞ0iÓ76s†î!§=ß ¼~Ô'°Ãmäoäš³ªøi1úÉ)³yV8 CLÄØÁ‘WYïi€H6ÖÑiámø^ÈY´°Ñ7¥Û*—Ñ©L«Qƒï—Ùrÿ ›£Ð*š¸ˆL©ˆ$ˆ ÷¾D§9È®«qbqC)–ˆïv´çñsÑVT­Ø, <àïºÀO«Jý·õ àfPìð .wFšir´þ’2_Y *Æ€x\« ì€9š@ Ž|F⇥ˆkZ@hÖÄ0t¿-<“‹qµ¾*ZL¤Ú)&BJpÓF5=$„at*Zš$’ÑtdûÝRI1 2Ž‰$€$I$#‰SÞ’Hë¬ï;Á$¡t$’`<(ñÇt)$‡Ð.Êf¢X’Kt=Éé$‚ˆªè¢oÝëòI%Rgcª÷ŠyI%¡‰ÿ !ñ)´õ $¤ Ô’IIGÿÙfrom __future__ import annotations import numbers import typing from pyrsistent import pmap import attr from jsonschema.exceptions import UndefinedTypeCheck # unfortunately, the type of pmap is generic, and if used as the attr.ib # converter, the generic type is presented to mypy, which then fails to match # the concrete type of a type checker mapping # this "do nothing" wrapper presents the correct information to mypy def _typed_pmap_converter( init_val: typing.Mapping[ str, typing.Callable[["TypeChecker", typing.Any], bool], ], ) -> typing.Mapping[str, typing.Callable[["TypeChecker", typing.Any], bool]]: return typing.cast( typing.Mapping[ str, typing.Callable[["TypeChecker", typing.Any], bool], ], pmap(init_val), ) def is_array(checker, instance): return isinstance(instance, list) def is_bool(checker, instance): return isinstance(instance, bool) def is_integer(checker, instance): # bool inherits from int, so ensure bools aren't reported as ints if isinstance(instance, bool): return False return isinstance(instance, int) def is_null(checker, instance): return instance is None def is_number(checker, instance): # bool inherits from int, so ensure bools aren't reported as ints if isinstance(instance, bool): return False return isinstance(instance, numbers.Number) def is_object(checker, instance): return isinstance(instance, dict) def is_string(checker, instance): return isinstance(instance, str) def is_any(checker, instance): return True @attr.s(frozen=True) class TypeChecker(object): """ A ``type`` property checker. A `TypeChecker` performs type checking for a `Validator`. Type checks to perform are updated using `TypeChecker.redefine` or `TypeChecker.redefine_many` and removed via `TypeChecker.remove`. Each of these return a new `TypeChecker` object. Arguments: type_checkers (dict): The initial mapping of types to their checking functions. """ _type_checkers: typing.Mapping[ str, typing.Callable[["TypeChecker", typing.Any], bool], ] = attr.ib( default=pmap(), converter=_typed_pmap_converter, ) def is_type(self, instance, type): """ Check if the instance is of the appropriate type. Arguments: instance (object): The instance to check type (str): The name of the type that is expected. Returns: bool: Whether it conformed. Raises: `jsonschema.exceptions.UndefinedTypeCheck`: if type is unknown to this object. """ try: fn = self._type_checkers[type] except KeyError: raise UndefinedTypeCheck(type) from None return fn(self, instance) def redefine(self, type, fn): """ Produce a new checker with the given type redefined. Arguments: type (str): The name of the type to check. fn (collections.abc.Callable): A function taking exactly two parameters - the type checker calling the function and the instance to check. The function should return true if instance is of this type and false otherwise. Returns: A new `TypeChecker` instance. """ return self.redefine_many({type: fn}) def redefine_many(self, definitions=()): """ Produce a new checker with the given types redefined. Arguments: definitions (dict): A dictionary mapping types to their checking functions. Returns: A new `TypeChecker` instance. """ return attr.evolve( self, type_checkers=self._type_checkers.update(definitions), ) def remove(self, *types): """ Produce a new checker with the given types forgotten. Arguments: types (~collections.abc.Iterable): the names of the types to remove. Returns: A new `TypeChecker` instance Raises: `jsonschema.exceptions.UndefinedTypeCheck`: if any given type is unknown to this object """ checkers = self._type_checkers for each in types: try: checkers = checkers.remove(each) except KeyError: raise UndefinedTypeCheck(each) return attr.evolve(self, type_checkers=checkers) draft3_type_checker = TypeChecker( { "any": is_any, "array": is_array, "boolean": is_bool, "integer": is_integer, "object": is_object, "null": is_null, "number": is_number, "string": is_string, }, ) draft4_type_checker = draft3_type_checker.remove("any") draft6_type_checker = draft4_type_checker.redefine( "integer", lambda checker, instance: ( is_integer(checker, instance) or isinstance(instance, float) and instance.is_integer() ), ) draft7_type_checker = draft6_type_checker draft201909_type_checker = draft7_type_checker draft202012_type_checker = draft201909_type_checker