o
    h                      @  s   d Z ddlmZ ddlmZmZ ddlZddlZddlZddl	Z	ddl
mZmZ ddlZddlmZ ddlmZmZmZ ddlZddlmZmZ dd	lmZ er\dd
lmZ ddlmZ G dd deZ G dd deZ!dd Z"dS )a  
Test extension array for storing nested data in a pandas container.

The JSONArray stores lists of dictionaries. The storage mechanism is a list,
not an ndarray.

Note
----
We currently store lists of UserDicts. Pandas has a few places
internally that specifically check for dicts, and does non-scalar things
in that case. We *want* the dictionaries to be treated as scalars, so we
hack around pandas by using UserDicts.
    )annotations)UserDictabcN)TYPE_CHECKINGAny'construct_1d_object_array_from_listlike)is_bool_dtypeis_list_likepandas_dtype)ExtensionArrayExtensionDtype)unpack_tuple_and_ellipses)Mapping)type_tc                   @  s4   e Zd ZU ejZdZe Zde	d< e
d	ddZdS )
	JSONDtypejsonzMapping[str, Any]na_valuereturntype_t[JSONArray]c                 C     t S )zq
        Return the array type associated with this dtype.

        Returns
        -------
        type
        )	JSONArray)cls r   u/var/www/html/construction_image-detection-poc/venv/lib/python3.10/site-packages/pandas/tests/extension/json/array.pyconstruct_array_type8   s   	zJSONDtype.construct_array_typeN)r   r   )__name__
__module____qualname__r   r   typenamer   r   __annotations__classmethodr   r   r   r   r   r   3   s   
 r   c                      s   e Zd Ze ZdZd0d1ddZedddd	d
Zedd Z	dd Z
d1ddZd2ddZdd Zdd Zd3ddZed2ddZdd Zd4ddZd d! Zd5d#d$Zd%d& Zed'd( Zd)d* Zd+d, Zdd"d- fd.d/
Z  ZS )6r   i  NFr   Nonec                 C  sD   |D ]}t || jjstdt| jj q|| _| j | _| _d S )NzAll values must be of type )
isinstancedtyper   	TypeErrorstrdata_items_data)selfvaluesr%   copyvalr   r   r   __init__H   s   zJSONArray.__init__r%   r-   c                C  s   | |S Nr   )r   scalarsr%   r-   r   r   r   _from_sequenceU   s   zJSONArray._from_sequencec                 C  s   | dd |D S )Nc                 S  s   g | ]
}|d krt |qS )r   )r   .0xr   r   r   
<listcomp>[   s    z.JSONArray._from_factorized.<locals>.<listcomp>r   )r   r,   originalr   r   r   _from_factorizedY      zJSONArray._from_factorizedc                   s   t |tr	t|}t |tjr j| S t |tr&|td kr&t  jS t |tr4t  j| S t|s<t	dt
jj |}t|jr[t jdd t |D  jdS t  fdd|D S )Nzuonly integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indicesc                 S  s   g | ]\}}|r|qS r   r   )r5   r6   mr   r   r   r7   t       z)JSONArray.__getitem__.<locals>.<listcomp>r%   c                      g | ]} j | qS r   r(   )r5   ir+   r   r   r7   w       )r$   tupler   numbersIntegralr(   slicer   r
   
IndexErrorpdapiindexerscheck_array_indexerr	   r%   r3   zip)r+   itemr   rA   r   __getitem__]   s$   



zJSONArray.__getitem__c                 C  s   t |tjr|| j|< d S t |t| tjfst|g}t |t	j
rH|jdkrHtt||D ]\}\}}|rEt || jjs@J || j|< q/d S t||D ]\}}t || jjsZJ || j|< qMd S )Nbool)r$   rD   rE   r(   r   r   Sequence	itertoolscyclenpndarrayr%   	enumeraterL   )r+   keyvaluer@   kvr   r   r   __setitem__y   s   
zJSONArray.__setitem__intc                 C  s
   t | jS r1   )lenr(   rA   r   r   r   __len__   s   
zJSONArray.__len__c                 C  r   r1   NotImplementedr+   otherr   r   r   __eq__      zJSONArray.__eq__c                 C  r   r1   r^   r`   r   r   r   __ne__   rc   zJSONArray.__ne__c                 C  s0   |d u rt }|t krtt| S tj| j|dS )Nr=   )objectr   listrS   asarrayr(   )r+   r%   r-   r   r   r   	__array__   s
   zJSONArray.__array__c                 C  s   t | jS r1   )sys	getsizeofr(   rA   r   r   r   nbytes   s   zJSONArray.nbytesc                   s   t j fdd jD tdS )Nc                   s   g | ]}| j jkqS r   )r%   r   r4   rA   r   r   r7      r<   z"JSONArray.isna.<locals>.<listcomp>r=   )rS   arrayr(   rO   rA   r   rA   r   isna   s   zJSONArray.isnac              
     s   t |}d}|r7 d u rjj |dk  rtz fdd|D }W n. ty6 } zt||d }~ww zfdd|D }W n tyS } zt||d }~ww tj|jdS )NzIIndex is out of bounds or cannot do a non-empty take from an empty array.c                   s"   g | ]}|d krj | n qS )rn   r?   r5   loc
fill_valuer+   r   r   r7      s    z"JSONArray.take.<locals>.<listcomp>c                   r>   r   r?   ro   rA   r   r   r7      rB   r=   )	rS   rg   r%   r   any
ValueErrorrG   r   r3   )r+   indexer
allow_fillrr   msgoutputerrr   rq   r   take   s.   



zJSONArray.takec                 C  s   t | | jd d  S r1   r   r(   rA   r   r   r   r-      s   zJSONArray.copyTc                 C  s   ddl m} t|}t|t| jr|| jkr|r|  S | S t||r5| t}|	 }|j
||ddS |sCtjdd | D |dS tjdd | D ||dS )	Nr   )StringDtypeFr0   c                 S     g | ]}t |qS r   dictr4   r   r   r   r7          z$JSONArray.astype.<locals>.<listcomp>r=   c                 S  r}   r   r~   r4   r   r   r   r7      r   )pandas.core.arrays.string_r|   r   r$   r   r%   r-   astyper'   r   r3   rS   rg   rl   )r+   r%   r-   r|   rW   arr_clsr   r   r   r      s   

zJSONArray.astypec                 C  s"   t | dd dd | jD D S )Nc                 S  r}   r   r~   r4   r   r   r   r7      r   z$JSONArray.unique.<locals>.<listcomp>c                 S  s   h | ]}t | qS r   rC   items)r5   dr   r   r   	<setcomp>   r<   z#JSONArray.unique.<locals>.<setcomp>r{   rA   r   r   r   unique   s   "zJSONArray.uniquec                 C  s"   t tjdd |D }| |S )Nc                 s  s    | ]}|j V  qd S r1   r?   r4   r   r   r   	<genexpr>   s    z.JSONArray._concat_same_type.<locals>.<genexpr>)rf   rQ   chainfrom_iterable)r   	to_concatr(   r   r   r   _concat_same_type   s   zJSONArray._concat_same_typec                 C  s$   |   }t|dkr| }|dfS )Nr   r   )_values_for_argsortr\   ravelr+   frozenr   r   r   _values_for_factorize   s   zJSONArray._values_for_factorizec                 C  s   dd | D }t |S )Nc                 S  s   g | ]}t | qS r   r   r4   r   r   r   r7      r<   z1JSONArray._values_for_argsort.<locals>.<listcomp>r   r   r   r   r   r      s   zJSONArray._values_for_argsort)limitr-   c                  s   t  j|||dS )N)methodr   r-   )super_pad_or_backfill)r+   r   r   r-   	__class__r   r   r      r:   zJSONArray._pad_or_backfill)NF)r   r#   )r   r[   )NN)FN)T)r   r   r   r   r%   __array_priority__r/   r"   r3   r9   rN   rZ   r]   rb   rd   rh   propertyrk   rm   rz   r-   r   r   r   r   r   r   __classcell__r   r   r   r   r   D   s4    






r   c                     s"   t jd  fddtdD S )N   c              	     s.   g | ]}t  fd dt ddD qS )c                   s(   g | ]}  ttj d dfqS )r   d   )choicerf   stringascii_lettersintegersr5   _rngr   r   r7      s    z(make_data.<locals>.<listcomp>.<listcomp>r   
   )r   ranger   r   r   r   r   r7      s    
zmake_data.<locals>.<listcomp>r   )rS   randomdefault_rngr   r   r   r   r   	make_data   s   
r   )#__doc__
__future__r   collectionsr   r   rQ   rD   r   ri   typingr   r   numpyrS   pandas.core.dtypes.castr   pandas.core.dtypes.commonr	   r
   r   pandasrH   pandas.api.extensionsr   r   pandas.core.indexersr   collections.abcr   pandas._typingr   r   r   r   r   r   r   r   <module>   s*     2