
    ":h"                         d dl Z d dlZd dlmZ d dlmZ dZd Zd Zd Z	e
fdZe
fd	Ze
fd
Ze
fdZe
fdZe
fdZe
fdZd Ze
fdZde
fdZddZy)    N)reduce)Mapping)merge
merge_withvalmapkeymapitemmap	valfilter	keyfilter
itemfilterassocdissocassoc_in	update_inget_inc                     |j                  dt              }|r6t        dj                  | j                  |j                         d               |S )Nfactoryz,{}() got an unexpected keyword argument '{}'r   )popdict	TypeErrorformat__name__popitem)fkwargsr   s      b/var/www/html/turnos/venv/lib/python3.12/site-packages/ccxt/static_dependencies/toolz/dicttoolz.py_get_factoryr      sJ    jjD)G %vajj&..2B12EFH 	HN    c                      t        |       dk(  rt        | d   t              s| d   } t        t        |      } |       }| D ]  }|j                  |        |S )z Merge a collection of dictionaries

    >>> merge({1: 'one'}, {2: 'two'})
    {1: 'one', 2: 'two'}

    Later dictionaries have precedence

    >>> merge({1: 2, 3: 4}, {3: 3, 4: 4})
    {1: 2, 3: 3, 4: 4}

    See Also:
        merge_with
       r   )len
isinstancer   r   r   update)dictsr   r   rvds        r   r   r      sW     5zQz%(G<a5&)G	B 
		!Ir   c                 Z   t        |      dk(  rt        |d   t              s|d   }t        t        |      }t        j                  d       }|D ]%  }|j                         D ]  \  }} ||   |        '  |       }|j                         D ]  \  }} | |j                        ||<    |S )a   Merge dictionaries and apply function to combined values

    A key may occur in more than one dict, and all values mapped from the key
    will be passed to the function as a list, such as func([val1, val2, ...]).

    >>> merge_with(sum, {1: 1, 2: 2}, {1: 10, 2: 20})
    {1: 11, 2: 22}

    >>> merge_with(first, {1: 1, 2: 2}, {2: 20, 3: 30})  # doctest: +SKIP
    {1: 1, 2: 2, 3: 30}

    See Also:
        merge
    r    r   c                      g j                   S N)append r   r   <lambda>zmerge_with.<locals>.<lambda>>   s
    RYY r   )	r!   r"   r   r   r   collectionsdefaultdictitems__self__)	funcr$   r   r   valuesr&   kvresults	            r   r   r   +   s     5zQz%(G<a:v.G$$%67F GGI 	DAqF1IaL	 YF %1$q	%Mr   c           
           |       }|j                  t        |j                         t        | |j	                                            |S )z Apply function to values of dictionary

    >>> bills = {"Alice": [20, 15, 30], "Bob": [10, 35]}
    >>> valmap(sum, bills)  # doctest: +SKIP
    {'Alice': 65, 'Bob': 45}

    See Also:
        keymap
        itemmap
    )r#   zipkeysmapr2   r1   r&   r   r%   s       r   r   r   I   s6     
BIIc!&&(Cahhj123Ir   c           	           |       }|j                  t        t        | |j                               |j	                                      |S )z Apply function to keys of dictionary

    >>> bills = {"Alice": [20, 15, 30], "Bob": [10, 35]}
    >>> keymap(str.lower, bills)  # doctest: +SKIP
    {'alice': [20, 15, 30], 'bob': [10, 35]}

    See Also:
        valmap
        itemmap
    )r#   r7   r9   r8   r2   r:   s       r   r   r   Y   s6     
BIIc#dAFFH%qxxz23Ir   c                 f     |       }|j                  t        | |j                                      |S )z Apply function to items of dictionary

    >>> accountids = {"Alice": 10, "Bob": 20}
    >>> itemmap(reversed, accountids)  # doctest: +SKIP
    {10: "Alice", 20: "Bob"}

    See Also:
        keymap
        valmap
    )r#   r9   r/   r:   s       r   r	   r	   i   s)     
BIIc$	"#Ir   c                 `     |       }|j                         D ]  \  }} | |      s|||<    |S )z Filter items in dictionary by value

    >>> iseven = lambda x: x % 2 == 0
    >>> d = {1: 2, 2: 3, 3: 4, 4: 5}
    >>> valfilter(iseven, d)
    {1: 2, 3: 4}

    See Also:
        keyfilter
        itemfilter
        valmap
    r/   	predicater&   r   r%   r3   r4   s         r   r
   r
   y   ;     
B	 1Q<BqE Ir   c                 `     |       }|j                         D ]  \  }} | |      s|||<    |S )z Filter items in dictionary by key

    >>> iseven = lambda x: x % 2 == 0
    >>> d = {1: 2, 2: 3, 3: 4, 4: 5}
    >>> keyfilter(iseven, d)
    {2: 3, 4: 5}

    See Also:
        valfilter
        itemfilter
        keymap
    r>   r?   s         r   r   r      rA   r   c                 d     |       }|j                         D ]  } | |      s|\  }}|||<    |S )a   Filter items in dictionary by item

    >>> def isvalid(item):
    ...     k, v = item
    ...     return k % 2 == 0 and v < 4

    >>> d = {1: 2, 2: 3, 3: 4, 4: 5}
    >>> itemfilter(isvalid, d)
    {2: 3}

    See Also:
        keyfilter
        valfilter
        itemmap
    r>   )r@   r&   r   r%   itemr3   r4   s          r   r   r      s@      
B	 T?DAqBqE Ir   c                 @     |       }|j                  |        |||<   |S )z Return a new dict with new key value pair

    New dict has d[key] set to value. Does not modify the initial dictionary.

    >>> assoc({'x': 1}, 'x', 2)
    {'x': 2}
    >>> assoc({'x': 1}, 'y', 3)   # doctest: +SKIP
    {'x': 1, 'y': 3}
    )r#   )r&   keyvaluer   d2s        r   r   r      s$     
BIIaLBsGIr   c                    t        t        |      } |       }t        |      t        |       dz  k  r"|j                  |        |D ]
  }||v s||=  |S t	        |       }|j                  |       |D ]
  }| |   ||<    |S )aB   Return a new dict with the given key(s) removed.

    New dict has d[key] deleted for each supplied key.
    Does not modify the initial dictionary.

    >>> dissoc({'x': 1, 'y': 2}, 'y')
    {'x': 1}
    >>> dissoc({'x': 1, 'y': 2}, 'y', 'x')
    {}
    >>> dissoc({'x': 1}, 'y') # Ignores missing keys
    {'x': 1}
    g333333?)r   r   r!   r#   setdifference_update)r&   r8   r   r   rH   rF   	remainingr3   s           r   r   r      s     66*G	B
4y3q6B;
		! 	CbysG	 I	 F	##D) 	AaDBqE	Ir   c                 (    t        | |fd|      S )a   Return a new dict with new, potentially nested, key value pair

    >>> purchase = {'name': 'Alice',
    ...             'order': {'items': ['Apple', 'Orange'],
    ...                       'costs': [0.50, 1.25]},
    ...             'credit card': '5555-1234-1234-1234'}
    >>> assoc_in(purchase, ['order', 'costs'], [0.25, 1.00]) # doctest: +SKIP
    {'credit card': '5555-1234-1234-1234',
     'name': 'Alice',
     'order': {'costs': [0.25, 1.00], 'items': ['Apple', 'Orange']}}
    c                     S r)   r+   )xrG   s    r   r,   zassoc_in.<locals>.<lambda>   s     r   )r   )r&   r8   rG   r   s     ` r   r   r      s     Qoug>>r   c                    t        |      }t        |      } |       x}}|j                  |        |D ]6  }	|| v r| |   }  |       }
|
j                  |        n	 |       x} }
|
x||<   }|	}8 || v r || |         ||<   |S  ||      ||<   |S )a	   Update value in a (potentially) nested dictionary

    inputs:
    d - dictionary on which to operate
    keys - list or tuple giving the location of the value to be changed in d
    func - function to operate on that value

    If keys == [k0,..,kX] and d[k0]..[kX] == v, update_in returns a copy of the
    original dictionary with v replaced by func(v), but does not mutate the
    original dictionary.

    If k0 is not a key in d, update_in creates nested dictionaries to the depth
    specified by the keys, with the innermost value set to func(default).

    >>> inc = lambda x: x + 1
    >>> update_in({'a': 0}, ['a'], inc)
    {'a': 1}

    >>> transaction = {'name': 'Alice',
    ...                'purchase': {'items': ['Apple', 'Orange'],
    ...                             'costs': [0.50, 1.25]},
    ...                'credit card': '5555-1234-1234-1234'}
    >>> update_in(transaction, ['purchase', 'costs'], sum) # doctest: +SKIP
    {'credit card': '5555-1234-1234-1234',
     'name': 'Alice',
     'purchase': {'costs': 1.75, 'items': ['Apple', 'Orange']}}

    >>> # updating a value when k0 is not in d
    >>> update_in({}, [1, 2, 3], str, default="bar")
    {1: {2: {3: 'bar'}}}
    >>> update_in({1: 'foo'}, [2, 3, 4], inc, 0)
    {1: 'foo', 2: {3: {4: 1}}}
    )iternextr#   )r&   r8   r1   defaultr   ksr3   r%   innerrF   dtemps              r   r   r      s    D 
dBRABIIaL 	6!AIELLO	!A  a5	 	Av!:a I =aIr   c                 x    	 t        t        j                  | |      S # t        t        t
        f$ r |r |cY S w xY w)a4   Returns coll[i0][i1]...[iX] where [i0, i1, ..., iX]==keys.

    If coll[i0][i1]...[iX] cannot be found, returns ``default``, unless
    ``no_default`` is specified, then it raises KeyError or IndexError.

    ``get_in`` is a generalization of ``operator.getitem`` for nested data
    structures such as dictionaries and lists.

    >>> transaction = {'name': 'Alice',
    ...                'purchase': {'items': ['Apple', 'Orange'],
    ...                             'costs': [0.50, 1.25]},
    ...                'credit card': '5555-1234-1234-1234'}
    >>> get_in(['purchase', 'items', 0], transaction)
    'Apple'
    >>> get_in(['name'], transaction)
    'Alice'
    >>> get_in(['purchase', 'total'], transaction)
    >>> get_in(['purchase', 'items', 'apple'], transaction)
    >>> get_in(['purchase', 'items', 10], transaction)
    >>> get_in(['purchase', 'total'], transaction, 0)
    0
    >>> get_in(['y'], {}, no_default=True)
    Traceback (most recent call last):
        ...
    KeyError: 'y'

    See Also:
        itertoolz.get
        operator.getitem
    )r   operatorgetitemKeyError
IndexErrorr   )r8   collrS   
no_defaults       r   r   r   /  s=    >h&&d33j), s    99)NF)rX   r-   	functoolsr   collections.abcr   __all__r   r   r   r   r   r   r	   r
   r   r   r   r   r   r   r   r+   r   r   <module>ra      s       #A
0< !   !   "   %) ( %) ( &* 0 "&  : &* ? &*4 7t$r   