LINE_LENGTH: 79

**********
def process_data(data, config=None):
    """
    Process data using the `DataProcessor` class.

    This function applies `transform` operations to the input `data` and
    returns the processed result. Use `config` to customize behavior.

    Args:
        data (list): Input data to process. Each element should be a `dict`
            with keys `id`, `value`, and `timestamp`.
        config (dict, optional): Configuration dictionary. Valid keys are
            `mode`, `threshold`, and `output_format`. Default is `None`.
        processor (`DataProcessor`): The `processor` instance to use for data
            transformation.

    Returns:
        dict: Processed data with keys `results`, `metadata`, and `status`.
        `ProcessedData`: Alternative format with `data` and `errors` fields.

    Raises:
        ValueError: If `data` is empty or `config` contains invalid keys.

    See Also:
        `DataProcessor` : Main processing class
        `validate_data` : Data validation function

    Notes:
        When `mode` is set to `'advanced'`, additional processing steps are
        applied. The `threshold` parameter controls filtering behavior.

        For rST roles like :emphasis:`important` and :sup:`2`, the single backticks
        should remain. Cross-references like `Section`_ and anonymous refs like
        `Link`__ should not be modified. External links such as `Python
        <https://www.python.org>`_ must stay as-is.

        Here's another example where long URLs extend to the next line `Here is the
        Link <https://www.this-is-a-url-that-is-long.com>`_ and `Another One
        <https://www.this-is-another-url-that-is-long.com>`_.

    Examples:
        >>> data = [{'id': 1, 'value': 10}]
        >>> result = process_data(data, config={'mode': 'simple'})
        >>> print(result['status'])
        'success'
        >>> # Use `config` parameter to customize `mode`
        ... # and set the `threshold` value
    """
    return {'results': [], 'metadata': {}, 'status': 'success'}


class DataProcessor:
    """
    Process and transform data using configurable `pipelines`.

    This class provides methods for data processing using `transform`,
    `filter`, and `aggregate` operations.

    Attributes:
        mode (str): Processing mode, one of `'simple'`, `'standard'`, or
            `'advanced'`.
        pipelines (list): List of `Pipeline` objects to apply.
        config (`ConfigDict`): Configuration for the `processor` with
            `settings` dictionary.
    """

    def __init__(self, mode='standard'):
        """
        Initialize processor with given `mode`.

        Args:
            mode (str, default='standard'): Processing mode. Options are
                `'simple'`, `'standard'`, `'advanced'`.
        """
        self.mode = mode

**********
def process_data(data, config=None):
    """Process data using the ``DataProcessor`` class.

    This function applies ``transform`` operations to the input ``data`` and
    returns the processed result. Use ``config`` to customize behavior.

    Args:
        data (list): Input data to process. Each element should be a ``dict``
            with keys ``id``, ``value``, and ``timestamp``.
        config (dict, default=None): Configuration dictionary. Valid keys are
            ``mode``, ``threshold``, and ``output_format``. Default is
            ``None``.
        processor (``DataProcessor``): The ``processor`` instance to use for
            data transformation.

    Returns:
        dict: Processed data with keys ``results``, ``metadata``, and
            ``status``. ``ProcessedData``: Alternative format with ``data`` and
            ``errors`` fields.

    Raises:
        ValueError: If ``data`` is empty or ``config`` contains invalid keys.

    See Also:
        ``DataProcessor``: Main processing class
        ``validate_data``: Data validation function

    Notes:
        When ``mode`` is set to ``'advanced'``, additional processing steps are
        applied. The ``threshold`` parameter controls filtering behavior.

        For rST roles like :emphasis:`important` and :sup:`2`, the single
        backticks should remain. Cross-references like `Section`_ and anonymous
        refs like `Link`__ should not be modified. External links such as
        `Python <https://www.python.org>`_ must stay as-is.

        Here's another example where long URLs extend to the next line `Here is
        the Link <https://www.this-is-a-url-that-is-long.com>`_ and `Another
        One <https://www.this-is-another-url-that-is-long.com>`_.

    Examples:
        >>> data = [{'id': 1, 'value': 10}]
        >>> result = process_data(data, config={'mode': 'simple'})
        >>> print(result['status'])
        'success'
        >>> # Use `config` parameter to customize `mode`
        ... # and set the `threshold` value
    """
    return {'results': [], 'metadata': {}, 'status': 'success'}


class DataProcessor:
    """Process and transform data using configurable ``pipelines``.

    This class provides methods for data processing using ``transform``,
    ``filter``, and ``aggregate`` operations.

    Attributes:
        mode (str): Processing mode, one of ``'simple'``, ``'standard'``, or
            ``'advanced'``.
        pipelines (list): List of ``Pipeline`` objects to apply.
        config (``ConfigDict``): Configuration for the ``processor`` with
            ``settings`` dictionary.
    """

    def __init__(self, mode='standard'):
        """Initialize processor with given ``mode``.

        Args:
            mode (str, default='standard'): Processing mode. Options are
                ``'simple'``, ``'standard'``, ``'advanced'``.
        """
        self.mode = mode
