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.

    Parameters
    ----------
    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`.

        Parameters
        ----------
        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.

    Parameters
    ----------
    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, default='standard'
        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``.

        Parameters
        ----------
        mode : str, default='standard'
            Processing mode. Options are ``'simple'``, ``'standard'``,
            ``'advanced'``.
        """
        self.mode = mode
