a
    |f')                     @   s   d Z ddlZddlZddlZddlZddlZddlZddlZejZ	G dd de
ZG dd de
ZG dd de	ZG d	d
 d
eZdddZdS )zb
Fast cryptographic hash of Python objects, with a special case for fast
hashing of numpy arrays.
    Nc                   @   s   e Zd ZdZdd ZdS )_ConsistentSetza Class used to ensure the hash of Sets is preserved
        whatever the order of its items.
    c              	   C   s@   zt || _W n, ttjfy:   t dd |D | _Y n0 d S )Nc                 s   s   | ]}t |V  qd S Nhash).0e r   HD:\Projects\storyit_web\backend\venv\Lib\site-packages\joblib/hashing.py	<genexpr>%       z*_ConsistentSet.__init__.<locals>.<genexpr>)sorted	_sequence	TypeErrordecimalInvalidOperation)selfZset_sequencer   r   r	   __init__   s    z_ConsistentSet.__init__N__name__
__module____qualname____doc__r   r   r   r   r	   r      s   r   c                   @   s   e Zd ZdZdd ZdS )_MyHashz7 Class used to hash objects that won't normally pickle c                 G   s
   || _ d S r   )args)r   r   r   r   r	   r   +   s    z_MyHash.__init__Nr   r   r   r   r	   r   (   s   r   c                   @   s   e Zd ZdZdddZdddZdd	 Zd
d Zdej	fddZ
ej Ze
eee< e
eee< e
eee< e
eeej< dd Zdd Zeeee < dS )HasherzW A subclass of pickler, to do cryptographic hashing, rather than
        pickling.
    md5c                 C   s0   t  | _d}tj| | j|d t|| _d S )N   )protocol)ioBytesIOstreamPicklerr   hashlibnew_hash)r   	hash_namer   r   r   r	   r   4   s    
zHasher.__init__Tc              
   C   sx   z|  | W n@ tjyN } z&| jd||f f7  _ W Y d }~n
d }~0 0 | j }| j| |rt| j S d S )Nz"PicklingError while hashing %r: %r)	dumppicklePicklingErrorr   r    getvaluer$   update	hexdigest)r   objZreturn_digestr   dumpsr   r   r	   r   =   s    
zHasher.hashc                 C   s   t |tjti jfr|t|dr*|jj}n|j}|j}t|tt	krTt
||j}n(|d u rht
||}n|jj}t
|||}t| | d S )N__func__)
isinstancetypes
MethodTypetypepophasattrr.   r   __self__r'   r   	__class__r!   save)r   r,   	func_nameinstclsr   r   r	   r7   H   s    

zHasher.savec                 C   s"   t |ttfrd S t| | d S r   )r/   bytesstrr!   memoize)r   r,   r   r   r	   r=   [   s    zHasher.memoizeNc                 C   s   t ||d}|d= ztj| |fi | W nn tjy   tj| |fi | t|dd }|dkr|}|d u rt|j}tj| }t	||st
||| Y n0 d S )N)namepackr?   r   __main__)dictr!   save_globalr'   r(   getattrr   sysmodulesr4   setattr)r   r,   r>   r?   kwargsmoduleZmy_namemodr   r   r	   rB   f   s    

zHasher.save_globalc              
   C   sN   zt | tt| W n0 tyH   t | ttdd |D  Y n0 d S )Nc                 s   s   | ]\}}t ||fV  qd S r   r   )r   kvr   r   r	   r
      s   z)Hasher._batch_setitems.<locals>.<genexpr>)r!   _batch_setitemsiterr   r   )r   itemsr   r   r	   rL      s    zHasher._batch_setitemsc                 C   s   t | t| d S r   )r!   r7   r   )r   Z	set_itemsr   r   r	   save_set   s    zHasher.save_set)r   )T)r   r   r   r   r   r   r7   r=   structr?   rB   r!   dispatchcopyr2   lenobjectr'   r&   rL   rO   setr   r   r   r	   r   /   s   
	

r   c                   @   s"   e Zd ZdZd	ddZdd ZdS )
NumpyHasherz7 Special case the hasher for when numpy is loaded.
    r   Fc                 C   s@   || _ tj| |d ddl}|| _t|dr6|j| _nt| _dS )a  
            Parameters
            ----------
            hash_name: string
                The hash algorithm to be used
            coerce_mmap: boolean
                Make no difference between np.memmap and np.ndarray
                objects.
        r%   r   N	getbuffer)	coerce_mmapr   r   numpynpr4   rX   
_getbuffer
memoryview)r   r%   rY   r[   r   r   r	   r      s    


zNumpyHasher.__init__c                 C   s   t || jjr|jjs|jdkr*| }n&|jjr8|}n|jj	rH|j
}n| }| j| || jj | jrt || jjr| jj}n|j}|d|j|j|jff}n6t || jjr| jdd | jt| dS t| | dS )z Subclass the save method, to hash ndarray subclass, rather
            than pickling them. Off course, this is a total abuse of
            the Pickler class.
        r   ZHASHEDZ_HASHED_DTYPEzutf-8N)r/   r[   ZndarrayZdtypeZ	hasobjectshapeflattenflagsc_contiguousf_contiguousTr$   r*   r\   viewZuint8rY   Zmemmapr6   stridesencoder'   r-   r   r7   )r   r,   Zobj_c_contiguousklassr   r   r	   r7      s(    


zNumpyHasher.saveN)r   F)r   r   r   r   r   r7   r   r   r   r	   rV      s   
rV   r   Fc                 C   sH   d}||vrt d||dtjv r4t||d}n
t|d}|| S )aj   Quick calculation of a hash to identify uniquely Python objects
        containing numpy arrays.

        Parameters
        ----------
        hash_name: 'md5' or 'sha1'
            Hashing algorithm used. sha1 is supposedly safer, but md5 is
            faster.
        coerce_mmap: boolean
            Make no difference between np.memmap and np.ndarray
    )r   sha1zAValid options for 'hash_name' are {}. Got hash_name={!r} instead.rZ   )r%   rY   rW   )
ValueErrorformatrD   rE   rV   r   r   )r,   r%   rY   Zvalid_hash_namesZhasherr   r   r	   r      s    

r   )r   F)r   r'   r"   rD   r0   rP   r   r   _Picklerr!   rT   r   r   r   rV   r   r   r   r   r	   <module>   s   	kZ