
    Eg>                       d Z ddlmZ ddlmZ ddlmZ  edi eZddZd	Z	 ed
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                    ddd          Z ed          
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                    ddd          Z ed          
                    ddd          ZdZdddZdS )z<Any shareable docstring components for rolling/expanding/ewm    )annotations)dedent)_shared_docsheaderstrreturnc                2    |  ddt          |           z   dS )zCreate numpydoc section header
-)len)r   s    K/var/www/sysmax/venv/lib/python3.11/site-packages/pandas/core/window/doc.pycreate_section_headerr      s$    --c&kk)----    z;
Calculate the {window_method} {aggregation_description}.

zp
    Series or DataFrame
        Return type is the same as the original object with ``np.float64`` dtype.

    r
       a6  
    pandas.Series.{window_method} : Calling {window_method} with Series data.
    pandas.DataFrame.{window_method} : Calling {window_method} with DataFrames.
    pandas.Series.{agg_method} : Aggregating {agg_method} for Series.
    pandas.DataFrame.{agg_method} : Aggregating {agg_method} for DataFrame.

    z
    numeric_only : bool, default False
        Include only float, int, boolean columns.

        .. versionadded:: 1.5.0

    z^
    **kwargs
        Keyword arguments to configure the ``SciPy`` weighted window type.

    a/  
    func : function
        Must produce a single value from an ndarray input if ``raw=True``
        or a single value from a Series if ``raw=False``. Can also accept a
        Numba JIT function with ``engine='numba'`` specified.

    raw : bool, default False
        * ``False`` : passes each row or column as a Series to the
          function.
        * ``True`` : the passed function will receive ndarray
          objects instead.
          If you are just applying a NumPy reduction function this will
          achieve much better performance.

    engine : str, default None
        * ``'cython'`` : Runs rolling apply through C-extensions from cython.
        * ``'numba'`` : Runs rolling apply through JIT compiled code from numba.
          Only available when ``raw`` is set to ``True``.
        * ``None`` : Defaults to ``'cython'`` or globally setting ``compute.use_numba``

    engine_kwargs : dict, default None
        * For ``'cython'`` engine, there are no accepted ``engine_kwargs``
        * For ``'numba'`` engine, the engine can accept ``nopython``, ``nogil``
          and ``parallel`` dictionary keys. The values must either be ``True`` or
          ``False``. The default ``engine_kwargs`` for the ``'numba'`` engine is
          ``{{'nopython': True, 'nogil': False, 'parallel': False}}`` and will be
          applied to both the ``func`` and the ``apply`` rolling aggregation.

    args : tuple, default None
        Positional arguments to be passed into func.

    kwargs : dict, default None
        Keyword arguments to be passed into func.

    zSee :ref:`window.numba_engine` and :ref:`enhancingperf.numba` for extended documentation and performance considerations for the Numba engine.

1.3versionc                r    t          d                              ddd                              d|           S )Na  
    engine : str, default None
        * ``'cython'`` : Runs the operation through C-extensions from cython.
        * ``'numba'`` : Runs the operation through JIT compiled code from numba.
        * ``None`` : Defaults to ``'cython'`` or globally setting ``compute.use_numba``

          .. versionadded:: {version}.0

    engine_kwargs : dict, default None
        * For ``'cython'`` engine, there are no accepted ``engine_kwargs``
        * For ``'numba'`` engine, the engine can accept ``nopython``, ``nogil``
          and ``parallel`` dictionary keys. The values must either be ``True`` or
          ``False``. The default ``engine_kwargs`` for the ``'numba'`` engine is
          ``{{'nopython': True, 'nogil': False, 'parallel': False}}``

          .. versionadded:: {version}.0

    r
   r   r   z	{version})r   replace)r   s    r   window_agg_numba_parametersr   ]   s;    	
 	
& 
r1			g	&	&+r   N )r   r   r   r   )r   )r   r   r   r   )__doc__
__future__r   textwrapr   pandas.core.shared_docsr   dictr   template_headerr   template_returnstemplate_see_alsokwargs_numeric_onlykwargs_scipywindow_apply_parametersnumba_notesr   r   r   r   <module>r$      s   B B " " " " " "       0 0 0 0 0 0t##l##. . . .
 S6 
 
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