<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def execute(self, query, parameters=None, timeout=_NOT_SET, trace=False, custom_payload=None, execution_profile=EXEC_PROFILE_DEFAULT, paging_state=None, host=None):
 """ Execute the given query and synchronously wait for the response. If an error is encountered while executing the query, an Exception will be raised. `query` may be a query string or an instance of :class:`cassandra.query.Statement`. `parameters` may be a sequence or dict of parameters to bind. If a sequence is used, ``%s`` should be used the placeholder for each argument. If a dict is used, ``%(name)s`` style placeholders must be used. `timeout` should specify a floating-point timeout (in seconds) after which an :exc:`.OperationTimedOut` exception will be raised if the query has not completed. If not set, the timeout defaults to :attr:`~.Session.default_timeout`. If set to :const:`None`, there is no timeout. Please see :meth:`.ResponseFuture.result` for details on the scope and effect of this timeout. If `trace` is set to :const:`True`, the query will be sent with tracing enabled. The trace details can be obtained using the returned :class:`.ResultSet` object. `custom_payload` is a :ref:`custom_payload` dict to be passed to the server. If `query` is a Statement with its own custom_payload. The message payload will be a union of the two, with the values specified here taking precedence. `execution_profile` is the execution profile to use for this request. It can be a key to a profile configured via :meth:`Cluster.add_execution_profile` or an instance (from :meth:`Session.execution_profile_clone_update`, for example `paging_state` is an optional paging state, reused from a previous :class:`ResultSet`. `host` is the :class:`pool.Host` that should handle the query. Using this is discouraged except in a few cases, e.g., querying node-local tables and applying schema changes. """

        return self.execute_async(query, parameters, trace, custom_payload,
                                  timeout, execution_profile, paging_state, host).result()