U
    ^{fE                  2   @  s  d Z ddlmZ ddlZddlmZmZ ddlZddlm	Z	 ddl
Z
ddlmZmZmZmZmZmZmZmZmZmZ ddlZddlZddlmZ ddlmZmZmZmZm Z  dd	l!m"Z" dd
l#m$Z$m%Z%m&Z&m'Z' ddl(m)Z)m*Z*m+Z+ ddl,m-Z- ddl.m/Z/ erddl0m1Z1 dd Z2dd Z3dddddZ4dd Z5dd Z6ddddZ7dddd Z8ddd!d"Z9ddd#d$Z:d%dd&d'Z;edd)d*d+d,d-d.Z<edd/d*d0d,d1d.Z<dd/d*d0d,d2d.Z<dd3d*d+d4d5d6Z=d7d8 Z>d9d:d;d<d=Z?ddd>d?Z@ddd@dAZAdBddCdDZBd%ddEdFdGZCdHdI ZDdJdK ZEdLdM ZFedNdNdOdPdQZGedRdSdOdTdQZGddUdVdWdQZGdXdYdZd[d\ZHd]d^ ZId_d`dadbdcZJejKdddedfdgdhZLdidjdkdldmZMejNejNejOejPjQejRejSjQiZTejNdnejOdoejRdpejUdqejVdrejNdnejWdnejXdsejYdsejZdtej[dtej\duej]duej^dvej_dvej`dwejadwejOdoejbdoejRdpejcdpejddxejedxejfdyejgdyiZhdzd{d|d}d~Zidd ZjdddddZkdS )zh
Misc tools for implementing data structures

Note: pandas.core.common is *not* part of the public API.
    )annotationsN)abcdefaultdict)partial)
TYPE_CHECKINGAnyCallable
Collection	GeneratorHashableIterableSequencecastoverload)lib)AnyArrayLike	ArrayLikeNpDtypeRandomStateT)'construct_1d_object_array_from_listlike)is_array_likeis_bool_dtypeis_extension_array_dtype
is_integer)ABCExtensionArrayABCIndex	ABCSeries)iterable_not_string)isna)Indexc                 c  s,   | D ]"}t |r t|E dH  q|V  qdS )a  
    Flatten an arbitrarily nested sequence.

    Parameters
    ----------
    line : sequence
        The non string sequence to flatten

    Notes
    -----
    This doesn't consider strings sequences.

    Returns
    -------
    flattened : generator
    N)r   flatten)lineelement r$   Q/var/www/html/Darija-Ai-API/env/lib/python3.8/site-packages/pandas/core/common.pyr!   <   s    r!   c              	   C  sL   | d j }| dd  D ]0}z|j |kr*d }W q tk
rD   d }Y qX q|S )Nr      )name
ValueError)Zobjsr'   objr$   r$   r%   consensus_name_attrT   s    

r*   r   bool)keyreturnc                 C  s   t | ttjtfs$t| rt| jr| jtjkrrt	| }t
|snd}t
|dkrjt| rjt|dS dS t| jrdS n4t | trt| dkrt| tk	rt| } t
| S dS )a  
    Check whether `key` is a valid boolean indexer.

    Parameters
    ----------
    key : Any
        Only list-likes may be considered boolean indexers.
        All other types are not considered a boolean indexer.
        For array-like input, boolean ndarrays or ExtensionArrays
        with ``_is_boolean`` set are considered boolean indexers.

    Returns
    -------
    bool
        Whether `key` is a valid boolean indexer.

    Raises
    ------
    ValueError
        When the array is an object-dtype ndarray or ExtensionArray
        and contains missing values.

    See Also
    --------
    check_array_indexer : Check that `key` is a valid array to index,
        and convert to an ndarray.
    z=Cannot mask with non-boolean array containing NA / NaN valuesbooleanFTr   )
isinstancer   npndarrayr   r   r   dtypeobject_asarrayr   Zis_bool_arrayZinfer_dtyper   anyr(   r   listlentypeZis_bool_list)r,   Z	key_arrayZna_msgr$   r$   r%   is_bool_indexer_   s*    




r9   c                 C  s   t | r|  rtd| S )z
    Disallow indexing with a float key, even if that key is a round number.

    Parameters
    ----------
    val : scalar

    Returns
    -------
    outval : scalar
    zYIndexing with a float is no longer supported. Manually convert to an integer key instead.)r   Zis_floatr   
IndexError)valr$   r$   r%   cast_scalar_indexer   s
    r<   c                  G  s   dd | D S )zL
    Returns a generator consisting of the arguments that are not None.
    c                 s  s   | ]}|d k	r|V  qd S Nr$   .0argr$   r$   r%   	<genexpr>   s      znot_none.<locals>.<genexpr>r$   argsr$   r$   r%   not_none   s    rD   )r-   c                  G  s   t dd | D S )z?
    Returns a boolean indicating if any argument is None.
    c                 s  s   | ]}|d kV  qd S r=   r$   r>   r$   r$   r%   rA      s     zany_none.<locals>.<genexpr>r5   rB   r$   r$   r%   any_none   s    rF   c                  G  s   t dd | D S )zA
    Returns a boolean indicating if all arguments are None.
    c                 s  s   | ]}|d kV  qd S r=   r$   r>   r$   r$   r%   rA      s     zall_none.<locals>.<genexpr>allrB   r$   r$   r%   all_none   s    rI   c                  G  s   t dd | D S )zC
    Returns a boolean indicating if any argument is not None.
    c                 s  s   | ]}|d k	V  qd S r=   r$   r>   r$   r$   r%   rA      s     zany_not_none.<locals>.<genexpr>rE   rB   r$   r$   r%   any_not_none   s    rJ   c                  G  s   t dd | D S )zE
    Returns a boolean indicating if all arguments are not None.
    c                 s  s   | ]}|d k	V  qd S r=   r$   r>   r$   r$   r%   rA      s     zall_not_none.<locals>.<genexpr>rG   rB   r$   r$   r%   all_not_none   s    rK   intc                  G  s   t dd | D S )z;
    Returns the count of arguments that are not None.
    c                 s  s   | ]}|d k	V  qd S r=   r$   r?   xr$   r$   r%   rA      s     z!count_not_none.<locals>.<genexpr>)sumrB   r$   r$   r%   count_not_none   s    rP   .zArrayLike | list | tuple | zipzNpDtype | Nonez
np.ndarray)valuesr2   r-   c                 C  s   d S r=   r$   rQ   r2   r$   r$   r%   asarray_tuplesafe   s    rS   r   r   c                 C  s   d S r=   r$   rR   r$   r$   r%   rS      s    c              	   C  s   t | ttfs"t| ds"t| } nt | tr2| jS t | trR|tjtfkrRt	| S z4t
 " t
dtj tj| |d}W 5 Q R X W n tk
r   t	|  Y S X t|jjtrtj| td}|jdkrdd | D } t	| }|S )NZ	__array__ignorer2      c                 S  s   g | ]}t |qS r$   )tuplerM   r$   r$   r%   
<listcomp>   s     z%asarray_tuplesafe.<locals>.<listcomp>)r/   r6   rW   hasattrr   Z_valuesr0   r3   objectr   warningscatch_warningssimplefilterZVisibleDeprecationWarningr4   r(   
issubclassr2   r8   strndim)rQ   r2   resultr$   r$   r%   rS      s$    



znp.ndarray | Iterable)labelsr2   r-   c                 C  s\   t | ttfr| g} t | ttjfsLzt| } W n tk
rJ   | g} Y nX t| |d} | S )z
    Transform label or iterable of labels to array, for use in Index.

    Parameters
    ----------
    dtype : dtype
        If specified, use as dtype of the resulting array, otherwise infer.

    Returns
    -------
    array
    rU   )r/   r_   rW   r6   r0   r1   	TypeErrorrS   )rb   r2   r$   r$   r%   index_labels_to_array  s    rd   c                 C  s    | d k	rt | ttfs| gS | S r=   )r/   rW   r6   r)   r$   r$   r%   maybe_make_list"  s    rf   zIterable[T] | TzCollection[T] | T)r)   r-   c                 C  s.   t | tjr t | tjs t| S tt| } | S )zB
    If obj is Iterable but not list-like, consume into list.
    )r/   r   r   Sizedr6   r   r	   re   r$   r$   r%   maybe_iterable_to_list(  s    
rh   c                 C  s(   t | to&| jdko&| jdko&| jdkS )z
    We have a null slice.
    Nr/   slicestartstopstepre   r$   r$   r%   is_null_slice2  s    
rn   c                 C  s*   t | to(| jdk	o(| jdk	o(| j| jkS )z>
    We have an empty slice, e.g. no values are selected.
    N)r/   rj   rk   rl   re   r$   r$   r%   is_empty_slice>  s    

ro   z
list[bool]c                 C  s   dd | D S )zX
    Find non-trivial slices in "line": return a list of booleans with same length.
    c                 S  s    g | ]}t |tot| qS r$   )r/   rj   rn   )r?   kr$   r$   r%   rX   N  s     z"is_true_slices.<locals>.<listcomp>r$   )r"   r$   r$   r%   is_true_slicesJ  s    rq   )r"   r-   c                 C  s(   t | to&| jdko&| j|ko&| jdkS )z&
    We have a full length slice.
    r   Nri   )r)   r"   r$   r$   r%   is_full_sliceR  s    
rr   c                 C  s>   t | drt| dS t| tr(t| jS t| r:t| jS d S )N__name__)	rY   getattrr/   r   get_callable_namefunccallabler8   rs   re   r$   r$   r%   ru   ^  s    




ru   c                 K  s   t | r| |f|S | S )z
    Evaluate possibly callable input using obj and kwargs if it is callable,
    otherwise return as it is.

    Parameters
    ----------
    maybe_callable : possibly a callable
    obj : NDFrame
    **kwargs
    )rw   )Zmaybe_callabler)   kwargsr$   r$   r%   apply_if_callableo  s    ry   c                 C  sV   t | s(t| tr tt| jS t| } t| tj	sBt
d|  | tkrRt
d| S )a  
    Helper function to standardize a supplied mapping.

    Parameters
    ----------
    into : instance or subclass of collections.abc.Mapping
        Must be a class, an initialized collections.defaultdict,
        or an instance of a collections.abc.Mapping subclass.

    Returns
    -------
    mapping : a collections.abc.Mapping subclass or other constructor
        a callable object that can accept an iterator to create
        the desired Mapping.

    See Also
    --------
    DataFrame.to_dict
    Series.to_dict
    zunsupported type: z/to_dict() only accepts initialized defaultdicts)inspectisclassr/   r   r   default_factoryr8   r^   r   Mappingrc   )Zintor$   r$   r%   standardize_mapping  s    

r~   znp.random.Generator)stater-   c                 C  s   d S r=   r$   r   r$   r$   r%   random_state  s    r   zGint | ArrayLike | np.random.BitGenerator | np.random.RandomState | Noneznp.random.RandomStatec                 C  s   d S r=   r$   r   r$   r$   r%   r     s    zRandomState | Noner   c                 C  sh   t | st| st| tjjr*tj| S t| tjjr<| S t| tjjrN| S | dkr\tjS tddS )a  
    Helper function for processing random_state arguments.

    Parameters
    ----------
    state : int, array-like, BitGenerator, Generator, np.random.RandomState, None.
        If receives an int, array-like, or BitGenerator, passes to
        np.random.RandomState() as seed.
        If receives an np.random RandomState or Generator, just returns that unchanged.
        If receives `None`, returns np.random.
        If receives anything else, raises an informative ValueError.

        .. versionchanged:: 1.1.0

            array-like and BitGenerator object now passed to np.random.RandomState()
            as seed

        Default None.

    Returns
    -------
    np.random.RandomState or np.random.Generator. If state is None, returns np.random

    Nzdrandom_state must be an integer, array-like, a BitGenerator, Generator, a numpy RandomState, or None)	r   r   r/   r0   randomZBitGeneratorr   r
   r(   r   r$   r$   r%   r     s     z/Callable[..., T] | tuple[Callable[..., T], str]r   )rv   r-   c                 O  sR   t |tr>|\}}||kr,| d}t|| ||< |||S || f||S dS )as  
    Apply a function ``func`` to object ``obj`` either by passing obj as the
    first argument to the function or, in the case that the func is a tuple,
    interpret the first element of the tuple as a function and pass the obj to
    that function as a keyword argument whose key is the value of the second
    element of the tuple.

    Parameters
    ----------
    func : callable or tuple of (callable, str)
        Function to apply to this object or, alternatively, a
        ``(callable, data_keyword)`` tuple where ``data_keyword`` is a
        string indicating the keyword of ``callable`` that expects the
        object.
    *args : iterable, optional
        Positional arguments passed into ``func``.
    **kwargs : dict, optional
        A dictionary of keyword arguments passed into ``func``.

    Returns
    -------
    object : the return type of ``func``.
    z/ is both the pipe target and a keyword argumentN)r/   rW   r(   )r)   rv   rC   rx   targetmsgr$   r$   r%   pipe  s    


r   c                   s$    fdd}t  tjtfr |S  S )zv
    Returns a function that will map names/labels, dependent if mapper
    is a dict, Series or just a function.
    c                   s   |  kr |  S | S d S r=   r$   )rN   mapperr$   r%   f  s    zget_rename_function.<locals>.f)r/   r   r}   r   )r   r   r$   r   r%   get_rename_function	  s    r   z"Hashable | Iterable | AnyArrayLikezlist | AnyArrayLike)rQ   r-   c                 C  s>   t | ttjtttfr| S t | tjr8t | t	s8t| S | gS )z
    Convert list-like or scalar input to list-like. List, numpy and pandas array-like
    inputs are returned unmodified whereas others are converted to list.
    )
r/   r6   r0   r1   r   r   r   r   r   r_   )rQ   r$   r$   r%   convert_to_list_like  s
    r   r_   zGenerator[(None, None, None)])attrr-   c              
   c  s4   t | |}t| || z
| V  W 5 t| || X dS )zTemporarily set attribute on an object.

    Args:
        obj: Object whose attribute will be modified.
        attr: Attribute to modify.
        value: Value to temporarily set attribute to.

    Yields:
        obj with modified attribute.
    N)rt   setattr)r)   r   value	old_valuer$   r$   r%   temp_setattr'  s
    

r   r    None)indexr-   c                 C  s2   t | t |kr.tdt |  dt | ddS )zC
    Check the length of data matches the length of the index.
    zLength of values (z") does not match length of index ()N)r7   r(   )datar   r$   r$   r%   require_length_match;  s    r   rO   maxminrH   r5   meanprodstdvarmediancumprodcumsumr   z
str | None)r@   r-   c                 C  s
   t | S )zH
    if we define an internal function for this argument, return it
    )_cython_tablegetr@   r$   r$   r%   get_cython_funcn  s    r   c                 C  s   t | | S )zd
    if we define a builtin function for this argument, return it,
    otherwise return the arg
    )_builtin_tabler   r   r$   r$   r%   is_builtin_funcu  s    r   zSequence[Hashable | None]zlist[Hashable])namesr-   c                 C  s   dd t | D S )a,  
    If a name is missing then replace it by level_n, where n is the count

    .. versionadded:: 1.4.0

    Parameters
    ----------
    names : list-like
        list of column names or None values.

    Returns
    -------
    list
        list of column names with the None values replaced.
    c                 S  s&   g | ]\}}|d krd| n|qS )NZlevel_r$   )r?   ir'   r$   r$   r%   rX     s     z&fill_missing_names.<locals>.<listcomp>)	enumerate)r   r$   r$   r%   fill_missing_names}  s    r   ).).)N)N)N)l__doc__
__future__r   builtinscollectionsr   r   
contextlib	functoolsr   rz   typingr   r   r   r	   r
   r   r   r   r   r   r[   numpyr0   Zpandas._libsr   Zpandas._typingr   r   r   r   r   Zpandas.core.dtypes.castr   Zpandas.core.dtypes.commonr   r   r   r   Zpandas.core.dtypes.genericr   r   r   Zpandas.core.dtypes.inferencer   Zpandas.core.dtypes.missingr   Zpandasr    r!   r*   r9   r<   rD   rF   rI   rJ   rK   rP   rS   rd   rf   rh   rn   ro   rq   rr   ru   ry   r~   r   r   r   r   contextmanagerr   r   rO   r   maximumreducer   minimumr   rH   r5   Znansumr   Znanmeanr   Znanprodr   Znanstdr   Znanvarr   Z	nanmedianZnanmaxZnanminr   Z
nancumprodr   Z	nancumsumr   r   r   r   r$   r$   r$   r%   <module>   s   07 	! 
 8%                            