Repository: Avaiga/taipy
File: taipy/core/config/data_node_config.py (Python)

Code before:
            properties[cls._OPTIONAL_WRITE_FUNCTION_ARGS_GENERIC_PROPERTY] = write_fct_args

        return cls.__configure(id, DataNodeConfig._STORAGE_TYPE_VALUE_GENERIC, scope, validity_period, **properties)

    @classmethod
    def _configure_in_memory(
        cls,
        id: str,
        default_data: Optional[Any] = None,
        scope: Optional[Scope] = None,
        validity_period: Optional[timedelta] = None,
        **properties,
    ) -> "DataNodeConfig":
        """Configure a new *in-memory* data node configuration.

        Parameters:
            id (str): The unique identifier of the new in_memory data node configuration.
            default_data (Optional[any]): The default data of the data nodes instantiated from
                this in_memory data node configuration.
                If provided, note that the default_data will be stored as a configuration attribute.
                So it is designed to handle small data values like parameters, and it must be Json serializable.
            scope (Optional[Scope^]): The scope of the in_memory data node configuration.<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 new *in-memory* data node configuration.
        """  # noqa: E501
        if default_data is not None:
            properties[cls._OPTIONAL_DEFAULT_DATA_IN_MEMORY_PROPERTY] = default_data

        return cls.__configure(id, DataNodeConfig._STORAGE_TYPE_VALUE_IN_MEMORY, scope, validity_period, **properties)

    @classmethod
    def _configure_pickle(
        cls,
        id: str,
        default_path: Optional[str] = None,
        default_data: Optional[Any] = None,
        scope: Optional[Scope] = None,
        validity_period: Optional[timedelta] = None,
        **properties,
    ) -> "DataNodeConfig":
        """Configure a new pickle data node configuration.

        Parameters:
            id (str): The unique identifier of the new pickle 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:
                [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 new Generic data node configuration.
        """  # noqa: E501
        if read_fct is not None:
            properties[cls._OPTIONAL_READ_FUNCTION_GENERIC_PROPERTY] = read_fct
        if write_fct is not None:
            properties[cls._OPTIONAL_WRITE_FUNCTION_GENERIC_PROPERTY] = write_fct
        if read_fct_args is not None:
            properties[cls._OPTIONAL_READ_FUNCTION_ARGS_GENERIC_PROPERTY] = read_fct_args
        if write_fct_args is not None:
            properties[cls._OPTIONAL_WRITE_FUNCTION_ARGS_GENERIC_PROPERTY] = write_fct_args

        return cls.__configure(id, DataNodeConfig._STORAGE_TYPE_VALUE_GENERIC, scope, validity_period, **properties)

    @classmethod
    def _configure_in_memory(
        cls,
        id: str,
        default_data: Optional[Any] = None,
        scope: Optional[Scope] = None,
        validity_period: Optional[timedelta] = None,
        **properties,
    ) -> "DataNodeConfig":
        """Configure a new *in-memory* data node configuration.

        Parameters:
            id (str): The unique identifier of the new in_memory data node configuration.
            default_data (Optional[any]): The default data of the data nodes instantiated from
                this in_memory data node configuration.
                If provided, note that the default_data will be stored as a configuration attribute.
                So it is designed to handle small data values like parameters, and it must be Json serializable.
            scope (Optional[Scope^]): The scope of the in_memory data node configuration.<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 new *in-memory* data node configuration.
        """  # noqa: E501
        if default_data is not None:
            properties[cls._OPTIONAL_DEFAULT_DATA_IN_MEMORY_PROPERTY] = default_data