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59\A3R:\F3\CE"\B6\80\88\00\00i1u4ê\E9\F2á\A6\A2\FACM\93WMb*\E0*\00\00\00\00\00(\A8\80\00\00\80\00\00\00\00\00\00\00\00\00\FF\D9<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>C///</title>
</head>
"""
Tests on the new type interface. The actual correctness of the type checking
is handled in test_jsonschema_test_suite; these tests check that TypeChecker
functions correctly and can facilitate extensions to type checking
"""
from collections import namedtuple
from unittest import TestCase

from jsonschema import ValidationError, _validators
from jsonschema._types import TypeChecker
from jsonschema.exceptions import UndefinedTypeCheck
from jsonschema.validators import Draft4Validator, extend


def equals_2(checker, instance):
    return instance == 2


def is_namedtuple(instance):
    return isinstance(instance, tuple) and getattr(instance, "_fields", None)


def is_object_or_named_tuple(checker, instance):
    if Draft4Validator.TYPE_CHECKER.is_type(instance, "object"):
        return True
    return is_namedtuple(instance)


def coerce_named_tuple(fn):
    def coerced(validator, value, instance, schema):
        if is_namedtuple(instance):
            instance = instance._asdict()
        return fn(validator, value, instance, schema)
    return coerced


required = coerce_named_tuple(_validators.required)
properties = coerce_named_tuple(_validators.properties)


class TestTypeChecker(TestCase):
    def test_is_type(self):
        checker = TypeChecker({"two": equals_2})
        self.assertEqual(
            (
                checker.is_type(instance=2, type="two"),
                checker.is_type(instance="bar", type="two"),
            ),
            (True, False),
        )

    def test_is_unknown_type(self):
        with self.assertRaises(UndefinedTypeCheck) as context:
            TypeChecker().is_type(4, "foobar")
        self.assertIn("foobar", str(context.exception))

    def test_checks_can_be_added_at_init(self):
        checker = TypeChecker({"two": equals_2})
        self.assertEqual(checker, TypeChecker().redefine("two", equals_2))

    def test_redefine_existing_type(self):
        self.assertEqual(
            TypeChecker().redefine("two", object()).redefine("two", equals_2),
            TypeChecker().redefine("two", equals_2),
        )

    def test_remove(self):
        self.assertEqual(
            TypeChecker({"two": equals_2}).remove("two"),
            TypeChecker(),
        )

    def test_remove_unknown_type(self):
        with self.assertRaises(UndefinedTypeCheck) as context:
            TypeChecker().remove("foobar")
        self.assertIn("foobar", str(context.exception))

    def test_redefine_many(self):
        self.assertEqual(
            TypeChecker().redefine_many({"foo": int, "bar": str}),
            TypeChecker().redefine("foo", int).redefine("bar", str),
        )

    def test_remove_multiple(self):
        self.assertEqual(
            TypeChecker({"foo": int, "bar": str}).remove("foo", "bar"),
            TypeChecker(),
        )

    def test_type_check_can_raise_key_error(self):
        """
        Make sure no one writes:

            try:
                self._type_checkers[type](...)
            except KeyError:

        ignoring the fact that the function itself can raise that.
        """

        error = KeyError("Stuff")

        def raises_keyerror(checker, instance):
            raise error

        with self.assertRaises(KeyError) as context:
            TypeChecker({"foo": raises_keyerror}).is_type(4, "foo")

        self.assertIs(context.exception, error)


class TestCustomTypes(TestCase):
    def test_simple_type_can_be_extended(self):
        def int_or_str_int(checker, instance):
            if not isinstance(instance, (int, str)):
                return False
            try:
                int(instance)
            except ValueError:
                return False
            return True

        CustomValidator = extend(
            Draft4Validator,
            type_checker=Draft4Validator.TYPE_CHECKER.redefine(
                "integer", int_or_str_int,
            ),
        )
        validator = CustomValidator({"type": "integer"})

        validator.validate(4)
        validator.validate("4")

        with self.assertRaises(ValidationError):
            validator.validate(4.4)

    def test_object_ca