Repository: Avaiga/taipy
File: taipy/config/config.pyi (Python)

Code before:
            **properties (dict[str, any]): A keyworded variable length list of additional arguments.

        Returns:
            The new default scenario configuration.
        """

    @staticmethod
    def set_default_data_node_configuration(
        storage_type: str, scope: Optional[Scope] = None, validity_period: Optional[timedelta] = None, **properties
    ) -> "DataNodeConfig":
        """Set the default values for data node configurations.

        This function creates the _default data node configuration_ object,
        where all data node configuration objects will find their default
        values when needed.

        Parameters:
            storage_type (str): The default storage type for all data node configurations.
                The possible values are *"pickle"* (the default value), *"csv"*, *"excel"*,
                *"sql"*, *"mongo_collection"*, *"in_memory"*, *"json"*, *"parquet"*, *"generic"*,
                or *"s3_object"*.
            scope (Optional[Scope^]): The default scope for all data node configurations.<br/>
                The default value is `Scope.SCENARIO`.
            validity_period (Optional[timedelta]): The duration since the last edit date for which the data node can be
                considered up-to-date. Once the validity period has passed, the data node is considered stale and
                relevant tasks will run even if they are skippable (see the [Task configs page](../../userman/scenario_features/task-orchestration/scenario-config.md#from-task-configurations) for more details).
                If *validity_period* is set to None, the data node is always up-to-date.
            **properties (dict[str, any]): A keyworded variable length list of additional arguments.

        Returns:
            The default data node configuration.
        """  # noqa: E501

    @classmethod
    def configure_data_node_from(
        cls,
        source_configuration: "DataNodeConfig",
        id: str,
        **properties,
    ) -> "DataNodeConfig":
        """Configure a new data node configuration from an existing one.

        Parameters:
            source_configuration (DataNodeConfig): The source data node configuration.
            id (str): The unique identifier of the new data node configuration.
            **properties (dict[str, any]): A keyworded variable length list of additional arguments.<br/>
                The default properties are the properties of the source data node configuration.

        Returns:
            The new data node configuration.
        """

Review comment (suggestion):
```suggestion
                relevant tasks will run even if they are skippable (see the
                [Task configs page](../../userman/scenario_features/task-orchestration/scenario-config.md#from-task-configurations) 
                for more details).
```

Code after:
            **properties (dict[str, any]): A keyworded variable length list of additional arguments.

        Returns:
            The new default scenario configuration.
        """

    @staticmethod
    def set_default_data_node_configuration(
        storage_type: str, scope: Optional[Scope] = None, validity_period: Optional[timedelta] = None, **properties
    ) -> "DataNodeConfig":
        """Set the default values for data node configurations.

        This function creates the _default data node configuration_ object,
        where all data node configuration objects will find their default
        values when needed.

        Parameters:
            storage_type (str): The default storage type for all data node configurations.
                The possible values are *"pickle"* (the default value), *"csv"*, *"excel"*,
                *"sql"*, *"mongo_collection"*, *"in_memory"*, *"json"*, *"parquet"*, *"generic"*,
                or *"s3_object"*.
            scope (Optional[Scope^]): The default scope for all data node configurations.<br/>
                The default value is `Scope.SCENARIO`.
            validity_period (Optional[timedelta]): The duration since the last edit date for which the data node can be
                considered up-to-date. Once the validity period has passed, the data node is considered stale and
                relevant tasks will run even if they are skippable (see the Task configuration
                [page](../../userman/scenario_features/task-orchestration/scenario-config.md#from-task-configurations)
                for more details).
                If *validity_period* is set to None, the data node is always up-to-date.
            **properties (dict[str, any]): A keyworded variable length list of additional arguments.

        Returns:
            The default data node configuration.
        """  # noqa: E501

    @classmethod
    def configure_data_node_from(
        cls,
        source_configuration: "DataNodeConfig",
        id: str,
        **properties,
    ) -> "DataNodeConfig":
        """Configure a new data node configuration from an existing one.

        Parameters:
            source_configuration (DataNodeConfig): The source data node configuration.
            id (str): The unique identifier of the new data node configuration.
            **properties (dict[str, any]): A keyworded variable length list of additional arguments.<br/>
                The default properties are the properties of the source data node configuration.

        Returns: