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Edit: recipes.cpython-310.pyc
o �xer< � @ s� d Z ddlmZ ddlmZmZmZmZmZm Z m Z m Z m Z ddl Z ddlmZmZmZ ddlmZ ddlmZmZmZmZmZmZ g d�Ze j fd d �Z d d � Z dAd d�Z dd� Z dBdd�Z!dBdd�Z"dd� Z#e$fdd�Z%dd� Z&dd � Z'd d � Z(d d � Z)dBd!d"�Z*d#d$� Z+dBd%d&�Z,d'd(� Z-d)d*� Z.d+d,� Z/dBd-d.�Z0dBd/d0�Z1dBd1d2�Z2dCd3d4�Z3d5d6� Z4dBd7d8�Z5d9d:� Z6d;d<� Z7d=d>� Z8d?d@� Z9dS )Da Imported from the recipes section of the itertools documentation. All functions taken from the recipes section of the itertools library docs [1]_. Some backward-compatible usability improvements have been made. .. [1] http://docs.python.org/library/itertools.html#recipes � )�deque) �chain� combinations�count�cycle�groupby�islice�repeat�starmap�teeN)� randrange�sample�choice)�PY2)�filter� filterfalse�map�range�zip� zip_longest) � accumulate� all_equal�consume� dotproduct� first_true�flatten�grouper� iter_except�ncycles�nth�nth_combination�padnone�pairwise� partition�powerset�prepend�quantify�#random_combination_with_replacement�random_combination�random_permutation�random_product� repeatfunc� roundrobin�tabulate�tail�take�unique_everseen�unique_justseenc c sP � t | �}zt|�}W n ty Y dS w |V |D ] }|||�}|V qdS )a_ Return an iterator whose items are the accumulated results of a function (specified by the optional *func* argument) that takes two arguments. By default, returns accumulated sums with :func:`operator.add`. >>> list(accumulate([1, 2, 3, 4, 5])) # Running sum [1, 3, 6, 10, 15] >>> list(accumulate([1, 2, 3], func=operator.mul)) # Running product [1, 2, 6] >>> list(accumulate([0, 1, -1, 2, 3, 2], func=max)) # Running maximum [0, 1, 1, 2, 3, 3] This function is available in the ``itertools`` module for Python 3.2 and greater. N)�iter�next� StopIteration)�iterable�func�it�total�element� r: �J/opt/saltstack/salt/lib/python3.10/site-packages/more_itertools/recipes.pyr 4 s � � �r c C � t t|| ��S )a. Return first *n* items of the iterable as a list. >>> take(3, range(10)) [0, 1, 2] >>> take(5, range(3)) [0, 1, 2] Effectively a short replacement for ``next`` based iterator consumption when you want more than one item, but less than the whole iterator. )�listr ��nr5 r: r: r; r/ R s r/ c C s t | t|��S )a� Return an iterator over the results of ``func(start)``, ``func(start + 1)``, ``func(start + 2)``... *func* should be a function that accepts one integer argument. If *start* is not specified it defaults to 0. It will be incremented each time the iterator is advanced. >>> square = lambda x: x ** 2 >>> iterator = tabulate(square, -3) >>> take(4, iterator) [9, 4, 1, 0] )r r )�function�startr: r: r; r- a s r- c C s t t|| d��S )z�Return an iterator over the last *n* items of *iterable*. >>> t = tail(3, 'ABCDEFG') >>> list(t) ['E', 'F', 'G'] ��maxlen)r2 r r> r: r: r; r. s s r. c C s. |du r t | dd� dS tt| ||�d� dS )aX Advance *iterable* by *n* steps. If *n* is ``None``, consume it entirely. Efficiently exhausts an iterator without returning values. Defaults to consuming the whole iterator, but an optional second argument may be provided to limit consumption. >>> i = (x for x in range(10)) >>> next(i) 0 >>> consume(i, 3) >>> next(i) 4 >>> consume(i) >>> next(i) Traceback (most recent call last): File "<stdin>", line 1, in <module> StopIteration If the iterator has fewer items remaining than the provided limit, the whole iterator will be consumed. >>> i = (x for x in range(3)) >>> consume(i, 5) >>> next(i) Traceback (most recent call last): File "<stdin>", line 1, in <module> StopIteration Nr rB )r r3 r )�iteratorr? r: r: r; r ~ s r c C s t t| |d�|�S )z�Returns the nth item or a default value. >>> l = range(10) >>> nth(l, 3) 3 >>> nth(l, 20, "zebra") 'zebra' N)r3 r )r5 r? �defaultr: r: r; r � s r c C s t | �}t|d�ot|d� S )z� Returns ``True`` if all the elements are equal to each other. >>> all_equal('aaaa') True >>> all_equal('aaab') False TF)r r3 )r5 �gr: r: r; r � s r c C r< )zkReturn the how many times the predicate is true. >>> quantify([True, False, True]) 2 )�sumr )r5 �predr: r: r; r& � s r& c C s t | td��S )z�Returns the sequence of elements and then returns ``None`` indefinitely. >>> take(5, padnone(range(3))) [0, 1, 2, None, None] Useful for emulating the behavior of the built-in :func:`map` function. See also :func:`padded`. N)r r �r5 r: r: r; r! � s r! c C s t �tt| �|��S )z~Returns the sequence elements *n* times >>> list(ncycles(["a", "b"], 3)) ['a', 'b', 'a', 'b', 'a', 'b'] )r � from_iterabler �tuple)r5 r? r: r: r; r � s r c C s t ttj| |��S )zkReturns the dot product of the two iterables. >>> dotproduct([10, 10], [20, 20]) 400 )rG r �operator�mul)Zvec1Zvec2r: r: r; r � s r c C s t �| �S )z�Return an iterator flattening one level of nesting in a list of lists. >>> list(flatten([[0, 1], [2, 3]])) [0, 1, 2, 3] See also :func:`collapse`, which can flatten multiple levels of nesting. )r rJ )Z listOfListsr: r: r; r � s r c G s& |du r t | t|��S t | t||��S )aG Call *func* with *args* repeatedly, returning an iterable over the results. If *times* is specified, the iterable will terminate after that many repetitions: >>> from operator import add >>> times = 4 >>> args = 3, 5 >>> list(repeatfunc(add, times, *args)) [8, 8, 8, 8] If *times* is ``None`` the iterable will not terminate: >>> from random import randrange >>> times = None >>> args = 1, 11 >>> take(6, repeatfunc(randrange, times, *args)) # doctest:+SKIP [2, 4, 8, 1, 8, 4] N)r r )r6 �times�argsr: r: r; r+ � s r+ c C s t | �\}}t|d� t||�S )z�Returns an iterator of paired items, overlapping, from the original >>> take(4, pairwise(count())) [(0, 1), (1, 2), (2, 3), (3, 4)] N)r r3 r )r5 �a�br: r: r; r" s r" c C s t |�g| }t|d|i�S )z�Collect data into fixed-length chunks or blocks. >>> list(grouper(3, 'ABCDEFG', 'x')) [('A', 'B', 'C'), ('D', 'E', 'F'), ('G', 'x', 'x')] � fillvalue)r2 r )r? r5 rR rO r: r: r; r s r c g s� � t | �}trtdd� | D ��}n tdd� | D ��}|r@z |D ]}|� V q W n ty; |d8 }tt||��}Y nw |s dS dS )aJ Yields an item from each iterable, alternating between them. >>> list(roundrobin('ABC', 'D', 'EF')) ['A', 'D', 'E', 'B', 'F', 'C'] This function produces the same output as :func:`interleave_longest`, but may perform better for some inputs (in particular when the number of iterables is small). c s � � | ]}t |�jV qd S �N)r2 r3 ��.0r7 r: r: r; � <genexpr>9 � � z roundrobin.<locals>.<genexpr>c s rS rT )r2 �__next__rU r: r: r; rW ; rX � N)�lenr r r4 r )Z iterables�pendingZnextsr3 r: r: r; r, + s � � � �r, c C s t |�\}}t| |�t| |�fS )a� Returns a 2-tuple of iterables derived from the input iterable. The first yields the items that have ``pred(item) == False``. The second yields the items that have ``pred(item) == True``. >>> is_odd = lambda x: x % 2 != 0 >>> iterable = range(10) >>> even_items, odd_items = partition(is_odd, iterable) >>> list(even_items), list(odd_items) ([0, 2, 4, 6, 8], [1, 3, 5, 7, 9]) )r r r )rH r5 �t1�t2r: r: r; r# E s r# c s, t | �� t�� fdd�tt� �d �D ��S )a� Yields all possible subsets of the iterable. >>> list(powerset([1, 2, 3])) [(), (1,), (2,), (3,), (1, 2), (1, 3), (2, 3), (1, 2, 3)] :func:`powerset` will operate on iterables that aren't :class:`set` instances, so repeated elements in the input will produce repeated elements in the output. Use :func:`unique_everseen` on the input to avoid generating duplicates: >>> seq = [1, 1, 0] >>> list(powerset(seq)) [(), (1,), (1,), (0,), (1, 1), (1, 0), (1, 0), (1, 1, 0)] >>> from more_itertools import unique_everseen >>> list(powerset(unique_everseen(seq))) [(), (1,), (0,), (1, 0)] c 3 s � | ]}t � |�V qd S rT )r )rV �r��sr: r; rW k rX zpowerset.<locals>.<genexpr>rZ )r= r rJ r r[ rI r: r` r; r$ W s $r$ c c s� � t � }|j}g }|j}|du r8| D ]#}z ||vr ||� |V W q ty5 ||vr3||� |V Y qw dS | D ]'}||�}z ||vrL||� |V W q: tya ||vr_||� |V Y q:w dS )aj Yield unique elements, preserving order. >>> list(unique_everseen('AAAABBBCCDAABBB')) ['A', 'B', 'C', 'D'] >>> list(unique_everseen('ABBCcAD', str.lower)) ['A', 'B', 'C', 'D'] Sequences with a mix of hashable and unhashable items can be used. The function will be slower (i.e., `O(n^2)`) for unhashable items. N)�set�add�append� TypeError)r5 �keyZseensetZ seenset_addZseenlistZ seenlist_addr9 �kr: r: r; r0 n sB � � ��� � ���r0 c C s t tt t�d�t| |���S )z�Yields elements in order, ignoring serial duplicates >>> list(unique_justseen('AAAABBBCCDAABBB')) ['A', 'B', 'C', 'D', 'A', 'B'] >>> list(unique_justseen('ABBCcAD', str.lower)) ['A', 'B', 'C', 'A', 'D'] rZ )r r3 rL � itemgetterr )r5 rf r: r: r; r1 � s r1 c c s4 � z|dur |� V | � V q |y Y dS w )aX Yields results from a function repeatedly until an exception is raised. Converts a call-until-exception interface to an iterator interface. Like ``iter(func, sentinel)``, but uses an exception instead of a sentinel to end the loop. >>> l = [0, 1, 2] >>> list(iter_except(l.pop, IndexError)) [2, 1, 0] Nr: )r6 � exception�firstr: r: r; r � s � � �r c C s t t|| �|�S )a� Returns the first true value in the iterable. If no true value is found, returns *default* If *pred* is not None, returns the first item for which ``pred(item) == True`` . >>> first_true(range(10)) 1 >>> first_true(range(10), pred=lambda x: x > 5) 6 >>> first_true(range(10), default='missing', pred=lambda x: x > 9) 'missing' )r3 r )r5 rE rH r: r: r; r � s r c O s, dd� | D �|� dd� }tdd� |D ��S )a� Draw an item at random from each of the input iterables. >>> random_product('abc', range(4), 'XYZ') # doctest:+SKIP ('c', 3, 'Z') If *repeat* is provided as a keyword argument, that many items will be drawn from each iterable. >>> random_product('abcd', range(4), repeat=2) # doctest:+SKIP ('a', 2, 'd', 3) This equivalent to taking a random selection from ``itertools.product(*args, **kwarg)``. c S s g | ]}t |��qS r: )rK �rV �poolr: r: r; � <listcomp>� s z"random_product.<locals>.<listcomp>r rZ c s s � | ]}t |�V qd S rT )r rk r: r: r; rW � � � z!random_product.<locals>.<genexpr>)�getrK )rO �kwdsZpoolsr: r: r; r* � s r* c C s* t | �}|du r t|�n|}t t||��S )ab Return a random *r* length permutation of the elements in *iterable*. If *r* is not specified or is ``None``, then *r* defaults to the length of *iterable*. >>> random_permutation(range(5)) # doctest:+SKIP (3, 4, 0, 1, 2) This equivalent to taking a random selection from ``itertools.permutations(iterable, r)``. N)rK r[ r )r5 r_ rl r: r: r; r) � s r) c s8 t | �� t� �}ttt|�|��}t � fdd�|D ��S )z�Return a random *r* length subsequence of the elements in *iterable*. >>> random_combination(range(5), 3) # doctest:+SKIP (2, 3, 4) This equivalent to taking a random selection from ``itertools.combinations(iterable, r)``. c 3 � � | ]}� | V qd S rT r: �rV �i�rl r: r; rW � rn z%random_combination.<locals>.<genexpr>)rK r[ �sortedr r )r5 r_ r? �indicesr: rt r; r( � s r( c s@ t | ��t��� t� fdd�t|�D ��}t �fdd�|D ��S )aS Return a random *r* length subsequence of elements in *iterable*, allowing individual elements to be repeated. >>> random_combination_with_replacement(range(3), 5) # doctest:+SKIP (0, 0, 1, 2, 2) This equivalent to taking a random selection from ``itertools.combinations_with_replacement(iterable, r)``. c 3 s � | ]}t � �V qd S rT )r rr )r? r: r; rW rn z6random_combination_with_replacement.<locals>.<genexpr>c 3 rq rT r: rr rt r: r; rW rn )rK r[ ru r )r5 r_ rv r: )r? rl r; r' s r' c C s� t | �}t|�}|dk s||krt�d}t||| �}td|d �D ] }||| | | }q"|dk r7||7 }|dk s?||krAt�g }|ry|| | |d |d }}}||krn||8 }||| | |d }}||ksY|�|d| � |sEt |�S )a) Equivalent to ``list(combinations(iterable, r))[index]``. The subsequences of *iterable* that are of length *r* can be ordered lexicographically. :func:`nth_combination` computes the subsequence at sort position *index* directly, without computing the previous subsequences. r rZ ���)rK r[ � ValueError�minr � IndexErrorrd ) r5 r_ �indexrl r? �crg rs �resultr: r: r; r s, ��r c C s t | g|�S )a Yield *value*, followed by the elements in *iterator*. >>> value = '0' >>> iterator = ['1', '2', '3'] >>> list(prepend(value, iterator)) ['0', '1', '2', '3'] To prepend multiple values, see :func:`itertools.chain`. )r )�valuerD r: r: r; r% 6 s r% )r rT )NN):�__doc__� collectionsr � itertoolsr r r r r r r r r rL �randomr r r Zsixr Z six.movesr r r r r r �__all__rc r r/ r- r. r r r �boolr& r! r r r r+ r" r r, r# r$ r0 r1 r r r* r) r( r' r r% r: r: r: r; �<module> sH , ( ( $
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