How to use the pydantic.error_wrappers.ErrorWrapper function in pydantic

def _apply_validators(
        self, v: Any, values: Dict[str, Any], loc: 'LocStr', cls: Optional['ModelOrDc'], validators: 'ValidatorsList'
    ) -> 'ValidateReturn':
        for validator in validators:
            try:
                v = validator(cls, v, values, self, self.model_config)
            except (ValueError, TypeError, AssertionError) as exc:
                return v, ErrorWrapper(exc, loc)
        return v, None

for name, field in model.__fields__.items():
        if type(field.type_) == ForwardRef:
            raise ConfigError(
                f'field "{field.name}" not yet prepared so type is still a ForwardRef, '
                f'you might need to call {cls_.__name__}.update_forward_refs().'
            )

        value = input_data.get(field.alias, _missing)
        using_name = False
        if value is _missing and config.allow_population_by_field_name and field.alt_alias:
            value = input_data.get(field.name, _missing)
            using_name = True

        if value is _missing:
            if field.required:
                errors.append(ErrorWrapper(MissingError(), loc=field.alias))
                continue

            if field.default is None:
                # deepcopy is quite slow on None
                value = None
            else:
                value = deepcopy(field.default)

            if not config.validate_all and not field.validate_always:
                values[name] = value
                continue
        else:
            fields_set.add(name)
            if check_extra:
                names_used.add(field.name if using_name else field.alias)

for field in required_params:
        if is_scalar_sequence_field(field) and isinstance(
            received_params, (QueryParams, Headers)
        ):
            value = received_params.getlist(field.alias) or field.default
        else:
            value = received_params.get(field.alias)
        field_info = get_field_info(field)
        assert isinstance(
            field_info, params.Param
        ), "Params must be subclasses of Param"
        if value is None:
            if field.required:
                if PYDANTIC_1:
                    errors.append(
                        ErrorWrapper(
                            MissingError(), loc=(field_info.in_.value, field.alias)
                        )
                    )
                else:  # pragma: nocover
                    errors.append(
                        ErrorWrapper(  # type: ignore
                            MissingError(),
                            loc=(field_info.in_.value, field.alias),
                            config=BaseConfig,
                        )
                    )
            else:
                values[field.name] = deepcopy(field.default)
            continue
        v_, errors_ = field.validate(
            value, values, loc=(field_info.in_.value, field.alias)

value = received_params.get(field.alias)
        field_info = get_field_info(field)
        assert isinstance(
            field_info, params.Param
        ), "Params must be subclasses of Param"
        if value is None:
            if field.required:
                if PYDANTIC_1:
                    errors.append(
                        ErrorWrapper(
                            MissingError(), loc=(field_info.in_.value, field.alias)
                        )
                    )
                else:  # pragma: nocover
                    errors.append(
                        ErrorWrapper(  # type: ignore
                            MissingError(),
                            loc=(field_info.in_.value, field.alias),
                            config=BaseConfig,
                        )
                    )
            else:
                values[field.name] = deepcopy(field.default)
            continue
        v_, errors_ = field.validate(
            value, values, loc=(field_info.in_.value, field.alias)
        )
        if isinstance(errors_, ErrorWrapper):
            errors.append(errors_)
        elif isinstance(errors_, list):
            errors.extend(errors_)
        else:

"""
        Validate sequence-like containers: lists, tuples, sets and generators
        Note that large if-else blocks are necessary to enable Cython
        optimization, which is why we disable the complexity check above.
        """
        if not sequence_like(v):
            e: errors_.PydanticTypeError
            if self.shape == SHAPE_LIST:
                e = errors_.ListError()
            elif self.shape == SHAPE_SET:
                e = errors_.SetError()
            elif self.shape == SHAPE_FROZENSET:
                e = errors_.FrozenSetError()
            else:
                e = errors_.SequenceError()
            return v, ErrorWrapper(e, loc)

        loc = loc if isinstance(loc, tuple) else (loc,)
        result = []
        errors: List[ErrorList] = []
        for i, v_ in enumerate(v):
            v_loc = *loc, i
            r, ee = self._validate_singleton(v_, values, v_loc, cls)
            if ee:
                errors.append(ee)
            else:
                result.append(r)

        if errors:
            return v, errors

        converted: Union[List[Any], Set[Any], FrozenSet[Any], Tuple[Any, ...], Iterator[Any]] = result

"""
    values = {}
    errors = []
    # input_data names, possibly alias
    names_used = set()
    # field names, never aliases
    fields_set = set()
    config = model.__config__
    check_extra = config.extra is not Extra.ignore
    cls_ = cls or model

    for validator in model.__pre_root_validators__:
        try:
            input_data = validator(cls_, input_data)
        except (ValueError, TypeError, AssertionError) as exc:
            return {}, set(), ValidationError([ErrorWrapper(exc, loc=ROOT_KEY)], cls_)

    for name, field in model.__fields__.items():
        if type(field.type_) == ForwardRef:
            raise ConfigError(
                f'field "{field.name}" not yet prepared so type is still a ForwardRef, '
                f'you might need to call {cls_.__name__}.update_forward_refs().'
            )

        value = input_data.get(field.alias, _missing)
        using_name = False
        if value is _missing and config.allow_population_by_field_name and field.alt_alias:
            value = input_data.get(field.name, _missing)
            using_name = True

        if value is _missing:
            if field.required:

content_type: str = None,
        encoding: str = 'utf8',
        proto: Protocol = None,
        allow_pickle: bool = False,
    ) -> 'Model':
        try:
            obj = load_str_bytes(
                b,
                proto=proto,
                content_type=content_type,
                encoding=encoding,
                allow_pickle=allow_pickle,
                json_loads=cls.__config__.json_loads,
            )
        except (ValueError, TypeError, UnicodeDecodeError) as e:
            raise ValidationError([ErrorWrapper(e, loc=ROOT_KEY)], cls)
        return cls.parse_obj(obj)

def _validate_mapping(
        self, v: Any, values: Dict[str, Any], loc: 'LocStr', cls: Optional['ModelOrDc']
    ) -> 'ValidateReturn':
        try:
            v_iter = dict_validator(v)
        except TypeError as exc:
            return v, ErrorWrapper(exc, loc)

        loc = loc if isinstance(loc, tuple) else (loc,)
        result, errors = {}, []
        for k, v_ in v_iter.items():
            v_loc = *loc, '__key__'
            key_result, key_errors = self.key_field.validate(k, values, loc=v_loc, cls=cls)  # type: ignore
            if key_errors:
                errors.append(key_errors)
                continue

            v_loc = *loc, k
            value_result, value_errors = self._validate_singleton(v_, values, v_loc, cls)
            if value_errors:
                errors.append(value_errors)
                continue

resource_type is not None
            and resource_type != __pydantic_self__.__fields__["resource_type"].default
        ):
            expected_resource_type = __pydantic_self__.__fields__[
                "resource_type"
            ].default
            error = (
                f"``{__pydantic_self__.__class__.__module__}."
                f"{__pydantic_self__.__class__.__name__}`` "
                f"expects resource type ``{expected_resource_type}``, "
                f"but got ``{resource_type}``. "
                "Make sure resource type name is correct and right "
                "ModelClass has been chosen."
            )
            errors.append(
                ErrorWrapper(WrongResourceType(error=error), loc="resource_type")
            )
        if errors:
            raise ValidationError(errors, __pydantic_self__.__class__)

        BaseModel.__init__(__pydantic_self__, **data)

else:
            values[name] = v_

    if check_extra:
        if isinstance(input_data, GetterDict):
            extra = input_data.extra_keys() - names_used
        else:
            extra = input_data.keys() - names_used
        if extra:
            fields_set |= extra
            if config.extra is Extra.allow:
                for f in extra:
                    values[f] = input_data[f]
            else:
                for f in sorted(extra):
                    errors.append(ErrorWrapper(ExtraError(), loc=f))

    for skip_on_failure, validator in model.__post_root_validators__:
        if skip_on_failure and errors:
            continue
        try:
            values = validator(cls_, values)
        except (ValueError, TypeError, AssertionError) as exc:
            errors.append(ErrorWrapper(exc, loc=ROOT_KEY))
            break

    if errors:
        return values, fields_set, ValidationError(errors, cls_)
    else:
        return values, fields_set, None