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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _do_load( self, data, many=None, partial=None, unknown=None, postprocess=True, ):
 """Deserialize `data`, returning the deserialized result. :param data: The data to deserialize. :param bool many: Whether to deserialize `data` as a collection. If `None`, the value for `self.many` is used. :param bool|tuple partial: Whether to validate required fields. If its value is an iterable, only fields listed in that iterable will be ignored will be allowed missing. If `True`, all fields will be allowed missing. If `None`, the value for `self.partial` is used. :param unknown: Whether to exclude, include, or raise an error for unknown fields in the data. Use `EXCLUDE`, `INCLUDE` or `RAISE`. If `None`, the value for `self.unknown` is used. :param bool postprocess: Whether to run post_load methods.. :return: A dict of deserialized data :rtype: dict """

        error_store = ErrorStore()
        errors = {}
        many = self.many if many is None else bool(many)
        unknown = unknown or self.unknown
        if partial is None:
            partial = self.partial
        # Run preprocessors
        if self._has_processors(PRE_LOAD):
            try:
                processed_data = self._invoke_load_processors(
                    PRE_LOAD,
                    data,
                    many,
                    original_data=data,
                )
            except ValidationError as err:
                errors = err.normalized_messages()
                result = None
        else:
            processed_data = data
        if not errors:
            # Deserialize data
            result = self._deserialize(
                processed_data,
                self.fields,
                error_store,
                many=many,
                partial=partial,
                unknown=unknown,
                dict_class=self.dict_class,
                index_errors=self.opts.index_errors,
            )
            # Run field-level validation
            self._invoke_field_validators(error_store, data=result, many=many)
            # Run schema-level validation
            if self._has_processors(VALIDATES_SCHEMA):
                field_errors = bool(error_store.errors)
                self._invoke_schema_validators(
                    error_store,
                    pass_many=True,
                    data=result,
                    original_data=data,
                    many=many,
                    field_errors=field_errors,
                )
                self._invoke_schema_validators(
                    error_store,
                    pass_many=False,
                    data=result,
                    original_data=data,
                    many=many,
                    field_errors=field_errors,
                )
            errors = error_store.errors
            # Run post processors
            if not errors and postprocess and self._has_processors(POST_LOAD):
                try:
                    result = self._invoke_load_processors(
                        POST_LOAD,
                        result,
                        many,
                        original_data=data,
                    )
                except ValidationError as err:
                    errors = err.normalized_messages()
        if errors:
            exc = ValidationError(
                errors,
                data=data,
                valid_data=result,
            )
            self.handle_error(exc, data)
            raise exc

        return result