o
    d5                     @  s   d Z ddlmZ ddlmZ ddlmZ ddlZddlm	Z	 ddl
mZ ddlmZ dd	lmZ dd
lmZmZ er@ddlmZ de	jfdddZ	ddddZdS )z io on the clipboard     )annotations)StringIO)TYPE_CHECKINGN)lib)find_stack_level)check_dtype_backend)ABCDataFrame)
get_optionoption_context)DtypeBackend\s+sepstrdtype_backendDtypeBackend | lib.NoDefaultc           
      K  s  | dd}|dur| dddkrtdt| dd	lm} dd
lm} | }z|	|
dp6td}W n	 tyB   Y nw |dd ddd dd }dd |D }t|dkrt|dkr|  dkrd} t|d t|d d }	|	dkr|dtt|	 | du r|
ddu rd} t| dkr|
ddu rd|d< nt| dkr|
ddkrtjdt d |t|f| |d|S )a#  
    Read text from clipboard and pass to read_csv.

    Parameters
    ----------
    sep : str, default '\s+'
        A string or regex delimiter. The default of '\s+' denotes
        one or more whitespace characters.

    dtype_backend : {"numpy_nullable", "pyarrow"}, defaults to NumPy backed DataFrames
        Which dtype_backend to use, e.g. whether a DataFrame should have NumPy
        arrays, nullable dtypes are used for all dtypes that have a nullable
        implementation when "numpy_nullable" is set, pyarrow is used for all
        dtypes if "pyarrow" is set.

        The dtype_backends are still experimential.

        .. versionadded:: 2.0

    **kwargs
        See read_csv for the full argument list.

    Returns
    -------
    DataFrame
        A parsed DataFrame object.
    encodingutf-8N- utf8z3reading from clipboard only supports utf-8 encodingr   )clipboard_get)read_csvzdisplay.encodingi'  

   c                 S  s   h | ]
}| d dqS ) 	)lstripcount).0x r!   Y/var/www/html/visualizacion-main/env/lib/python3.10/site-packages/pandas/io/clipboards.py	<setcomp>W   s    z!read_clipboard.<locals>.<setcomp>   r   z 		index_coldelim_whitespacer   enginepythonczIread_clipboard with regex separator does not work properly with c engine.
stacklevel)r   r   )poplowerreplaceNotImplementedErrorr   pandas.io.clipboardr   pandas.io.parsersr   decodegetr	   AttributeErrorsplitlenr   
setdefaultlistrangewarningswarnr   r   )
r   r   kwargsr   r   r   textlinescountsindex_lengthr!   r!   r"   read_clipboard   s:    "$
rA   Texcelbool | None
str | NonereturnNonec           	      K  s"  | dd}|dur| dddkrtddd	lm} |du r$d
}|rXz |du r-d}t }| j|f|dd| | }|| W dS  t	yW   t
jdt d Y nw |durdt
jdt d t| trtdd | jdi |}W d   n1 sw   Y  nt| }|| dS )a  
    Attempt to write text representation of object to the system clipboard
    The clipboard can be then pasted into Excel for example.

    Parameters
    ----------
    obj : the object to write to the clipboard
    excel : bool, defaults to True
            if True, use the provided separator, writing in a csv
            format for allowing easy pasting into excel.
            if False, write a string representation of the object
            to the clipboard
    sep : optional, defaults to tab
    other keywords are passed to to_csv

    Notes
    -----
    Requirements for your platform
      - Linux: xclip, or xsel (with PyQt4 modules)
      - Windows:
      - OS X:
    r   r   Nr   r   r   z&clipboard only supports utf-8 encodingr   )clipboard_setTr   )r   r   zAto_clipboard in excel mode requires a single character separator.r*   z7to_clipboard with excel=False ignores the sep argument.zdisplay.max_colwidthr!   )r,   r-   r.   
ValueErrorr0   rG   r   to_csvgetvalue	TypeErrorr:   r;   r   
isinstancer   r
   	to_stringr   )	objrB   r   r<   r   rG   bufr=   objstrr!   r!   r"   to_clipboardq   sB   

rQ   )r   r   r   r   )TN)rB   rC   r   rD   rE   rF   )__doc__
__future__r   ior   typingr   r:   pandas._libsr   pandas.util._exceptionsr   pandas.util._validatorsr   pandas.core.dtypes.genericr   pandasr	   r
   pandas._typingr   
no_defaultrA   rQ   r!   r!   r!   r"   <module>   s"    [