o
    _~#g                     @  sB   d dl mZ d dlmZ d dlZerd dlmZ G dd dZdS )    )annotations)TYPE_CHECKINGN)NDFramec                   @  sp   e Zd ZU dZdhZded< dd
dZedddZej	dddZdddZ
dddZd ddZdddZdS )!Flagsa  
    Flags that apply to pandas objects.

    Parameters
    ----------
    obj : Series or DataFrame
        The object these flags are associated with.
    allows_duplicate_labels : bool, default True
        Whether to allow duplicate labels in this object. By default,
        duplicate labels are permitted. Setting this to ``False`` will
        cause an :class:`errors.DuplicateLabelError` to be raised when
        `index` (or columns for DataFrame) is not unique, or any
        subsequent operation on introduces duplicates.
        See :ref:`duplicates.disallow` for more.

        .. warning::

           This is an experimental feature. Currently, many methods fail to
           propagate the ``allows_duplicate_labels`` value. In future versions
           it is expected that every method taking or returning one or more
           DataFrame or Series objects will propagate ``allows_duplicate_labels``.

    Examples
    --------
    Attributes can be set in two ways:

    >>> df = pd.DataFrame()
    >>> df.flags
    <Flags(allows_duplicate_labels=True)>
    >>> df.flags.allows_duplicate_labels = False
    >>> df.flags
    <Flags(allows_duplicate_labels=False)>

    >>> df.flags['allows_duplicate_labels'] = True
    >>> df.flags
    <Flags(allows_duplicate_labels=True)>
    allows_duplicate_labelszset[str]_keysobjr   boolreturnNonec                C  s   || _ t|| _d S N)_allows_duplicate_labelsweakrefref_obj)selfr   r    r   v/var/www/static.ux5.de/https/Moving-Object-Detection-with-OpenCV/env/lib/python3.10/site-packages/pandas/core/flags.py__init__3   s   zFlags.__init__c                 C  s   | j S )a  
        Whether this object allows duplicate labels.

        Setting ``allows_duplicate_labels=False`` ensures that the
        index (and columns of a DataFrame) are unique. Most methods
        that accept and return a Series or DataFrame will propagate
        the value of ``allows_duplicate_labels``.

        See :ref:`duplicates` for more.

        See Also
        --------
        DataFrame.attrs : Set global metadata on this object.
        DataFrame.set_flags : Set global flags on this object.

        Examples
        --------
        >>> df = pd.DataFrame({"A": [1, 2]}, index=['a', 'a'])
        >>> df.flags.allows_duplicate_labels
        True
        >>> df.flags.allows_duplicate_labels = False
        Traceback (most recent call last):
            ...
        pandas.errors.DuplicateLabelError: Index has duplicates.
              positions
        label
        a        [0, 1]
        )r   r   r   r   r   r   7   s   zFlags.allows_duplicate_labelsvaluec                 C  sB   t |}|  }|d u rtd|s|jD ]}|  q|| _d S )Nz$This flag's object has been deleted.)r	   r   
ValueErroraxes_maybe_check_uniquer   )r   r   r   axr   r   r   r   W   s   


keystrc                 C  s   || j vr	t|t| |S r   )r   KeyErrorgetattr)r   r   r   r   r   __getitem__d   s   

zFlags.__getitem__c                 C  s0   || j vrtd| d| j  t| || d S )NzUnknown flag z. Must be one of )r   r   setattr)r   r   r   r   r   r   __setitem__j   s   
zFlags.__setitem__c                 C  s   d| j  dS )Nz<Flags(allows_duplicate_labels=z)>)r   r   r   r   r   __repr__o   s   zFlags.__repr__c                 C  s   t |t| r| j|jkS dS )NF)
isinstancetyper   )r   otherr   r   r   __eq__r   s   zFlags.__eq__N)r   r   r   r	   r
   r   )r
   r	   )r   r	   r
   r   )r   r   )r   r   r
   r   )r
   r   )__name__
__module____qualname____doc__r   __annotations__r   propertyr   setterr   r!   r"   r&   r   r   r   r   r   
   s   
 &



r   )
__future__r   typingr   r   pandas.core.genericr   r   r   r   r   r   <module>   s    