How to use the azure-cognitiveservices-vision-face.azure.cognitiveservices.vision.face.face_client.FaceClientConfiguration function in azure-cognitiveservices-vision-face

def __init__(
            self, endpoint, credentials):

        self.config = FaceClientConfiguration(endpoint, credentials)
        super(FaceClient, self).__init__(self.config.credentials, self.config)

        client_models = {k: v for k, v in models.__dict__.items() if isinstance(v, type)}
        self.api_version = '1.0'
        self._serialize = Serializer(client_models)
        self._deserialize = Deserializer(client_models)

        self.face = FaceOperations(
            self._client, self.config, self._serialize, self._deserialize)
        self.person_group_person = PersonGroupPersonOperations(
            self._client, self.config, self._serialize, self._deserialize)
        self.person_group = PersonGroupOperations(
            self._client, self.config, self._serialize, self._deserialize)
        self.face_list = FaceListOperations(
            self._client, self.config, self._serialize, self._deserialize)
        self.large_person_group_person = LargePersonGroupPersonOperations(

def __init__(
            self, endpoint, credentials):

        if endpoint is None:
            raise ValueError("Parameter 'endpoint' must not be None.")
        if credentials is None:
            raise ValueError("Parameter 'credentials' must not be None.")
        base_url = '{Endpoint}/face/v1.0'

        super(FaceClientConfiguration, self).__init__(base_url)

        self.add_user_agent('azure-cognitiveservices-vision-face/{}'.format(VERSION))

        self.endpoint = endpoint
        self.credentials = credentials