OwlCyberSecurity - MANAGER
Edit File: recipes.cpython-39.pyc
a (�Re�? � @ s� d Z ddlZddlmZ ddlmZmZmZmZm Z m Z m Z m Z m Z mZ ddlZddlmZmZmZ g d�Zdd� ZdDd d �Zd d � ZdEd d�ZdFdd�Zdd� Zefdd�Z dd� Z e Z dd� Z dd� Z dd � Z!dGd d �Z"d d � Z#zdd!lm$Z% W n e&�y e#Z$Y n0 d"d#� Z$e#j e$_ dHd$d%�Z'd&d'� Z(d(d)� Z)d*d+� Z*dId,d-�Z+dJd.d/�Z,dKd0d1�Z-dLd2d3�Z.d4d5�d6d7�Z/dMd8d9�Z0d:d;� Z1d<d=� Z2d>d?� Z3d@dA� Z4dBdC� Z5dS )Na 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 � N)�deque) �chain� combinations�count�cycle�groupby�islice�repeat�starmap�tee� zip_longest)� randrange�sample�choice) � all_equal�consume�convolve� dotproduct� first_true�flatten�grouper� iter_except�ncycles�nth�nth_combination�padnone�pad_none�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 s t t|| ��S )z�Return first *n* items of the iterable as a list. >>> take(3, range(10)) [0, 1, 2] If there are fewer than *n* items in the iterable, all of them are returned. >>> take(10, range(3)) [0, 1, 2] )�listr ��n�iterable� r1 ��/builddir/build/BUILDROOT/alt-python39-setuptools-58.3.0-2.el8.x86_64/opt/alt/python39/lib/python3.9/site-packages/setuptools/_vendor/more_itertools/recipes.pyr* < 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] )�mapr )�function�startr1 r1 r2 r( L 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)�iterr r. r1 r1 r2 r) ^ s r) c C s, |du rt | dd� ntt| ||�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 r6 )r �nextr )�iteratorr/ r1 r1 r2 r i 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)r9 r )r0 r/ �defaultr1 r1 r2 r � s r c C s t | �}t|d�o t|d� S )z� Returns ``True`` if all the elements are equal to each other. >>> all_equal('aaaa') True >>> all_equal('aaab') False TF)r r9 )r0 �gr1 r1 r2 r � s r c C s t t|| ��S )zcReturn the how many times the predicate is true. >>> quantify([True, False, True]) 2 )�sumr3 )r0 �predr1 r1 r2 r! � s r! c C s t | td��S )a Returns the sequence of elements and then returns ``None`` indefinitely. >>> take(5, pad_none(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 �r0 r1 r1 r2 r � s r c C s t �tt| �|��S )zvReturns the sequence elements *n* times >>> list(ncycles(["a", "b"], 3)) ['a', 'b', 'a', 'b', 'a', 'b'] )r � from_iterabler �tuple)r0 r/ r1 r1 r2 r � s r c C s t ttj| |��S )zcReturns the dot product of the two iterables. >>> dotproduct([10, 10], [20, 20]) 400 )r= r3 �operator�mul)Zvec1Zvec2r1 r1 r2 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 r@ )Z listOfListsr1 r1 r2 r � s r c G s& |du rt | 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 )�func�times�argsr1 r1 r2 r& � s r& c c s* t | �\}}t|d� t||�E dH dS )z�Returns an iterator of paired items, overlapping, from the original >>> take(4, pairwise(count())) [(0, 1), (1, 2), (2, 3), (3, 4)] On Python 3.10 and above, this is an alias for :func:`itertools.pairwise`. N)r r9 �zip)r0 �a�br1 r1 r2 � _pairwise s rJ )r c c s t | �E d H d S �N)�itertools_pairwiser? r1 r1 r2 r s r c C s< t | t�r t�dt� | | }} t| �g| }t|d|i�S )z�Collect data into fixed-length chunks or blocks. >>> list(grouper('ABCDEFG', 3, 'x')) [('A', 'B', 'C'), ('D', 'E', 'F'), ('G', 'x', 'x')] z+grouper expects iterable as first parameter� fillvalue)� isinstance�int�warnings�warn�DeprecationWarningr8 r )r0 r/ rM rF r1 r1 r2 r s � r c g sd t | �}tdd� | D ��}|r`z|D ] }|� V q$W q ty\ |d8 }tt||��}Y q0 qdS )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 s | ]}t |�jV qd S rK )r8 �__next__)�.0�itr1 r1 r2 � <genexpr>9 � z roundrobin.<locals>.<genexpr>� N)�lenr � StopIterationr )� iterables�pendingZnextsr9 r1 r1 r2 r' , s r' c sF � du r t � � fdd�|D �}t|�\}}dd� |D �dd� |D �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]) If *pred* is None, :func:`bool` is used. >>> iterable = [0, 1, False, True, '', ' '] >>> false_items, true_items = partition(None, iterable) >>> list(false_items), list(true_items) ([0, False, ''], [1, True, ' ']) Nc 3 s | ]}� |�|fV qd S rK r1 )rT �x�r> r1 r2 rV Z rW z partition.<locals>.<genexpr>c s s | ]\}}|s|V qd S rK r1 �rT Zcondr] r1 r1 r2 rV ] rW c s s | ]\}}|r|V qd S rK r1 r_ r1 r1 r2 rV ^ rW )�boolr )r> r0 Z evaluations�t1�t2r1 r^ r2 r C 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 rK )r )rT �r��sr1 r2 rV v rW zpowerset.<locals>.<genexpr>rX )r- r r@ �rangerY r? r1 rd r2 r b s r c c s� t � }|j}g }|j}|du}| D ]X}|r2||�n|}z||vrN||� |V W q" tyx ||vrt||� |V Y q"0 q"dS )a� 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. Remember that ``list`` objects are unhashable - you can use the *key* parameter to transform the list to a tuple (which is hashable) to avoid a slowdown. >>> iterable = ([1, 2], [2, 3], [1, 2]) >>> list(unique_everseen(iterable)) # Slow [[1, 2], [2, 3]] >>> list(unique_everseen(iterable, key=tuple)) # Faster [[1, 2], [2, 3]] Similary, you may want to convert unhashable ``set`` objects with ``key=frozenset``. For ``dict`` objects, ``key=lambda x: frozenset(x.items())`` can be used. N)�set�add�append� TypeError) r0 �keyZseensetZ seenset_addZseenlistZ seenlist_addZuse_key�element�kr1 r1 r2 r+ y s r+ 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'] rX )r3 r9 rB � itemgetterr )r0 rk r1 r1 r2 r, � s r, c c s6 z |dur|� V | � V qW n |y0 Y n0 dS )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] Nr1 )rD � exception�firstr1 r1 r2 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' )r9 �filter)r0 r; r> r1 r1 r2 r � s r rX )r c G s$ dd� |D �| }t dd� |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 r1 �rA �rT �poolr1 r1 r2 � <listcomp>� rW z"random_product.<locals>.<listcomp>c s s | ]}t |�V qd S rK )r rs r1 r1 r2 rV � rW z!random_product.<locals>.<genexpr>rr )r rF �poolsr1 r1 r2 r% � s r% c C s* t | �}|du rt|�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)rA rY r )r0 rc rt r1 r1 r2 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 s | ]}� | V qd S rK r1 �rT �i�rt r1 r2 rV rW z%random_combination.<locals>.<genexpr>)rA rY �sortedr rf )r0 rc r/ �indicesr1 ry r2 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 rK )r rw )r/ r1 r2 rV rW z6random_combination_with_replacement.<locals>.<genexpr>c 3 s | ]}� | V qd S rK r1 rw ry r1 r2 rV rW )rA rY rz rf )r0 rc r{ r1 )r/ rt r2 r" s r" c C s� t | �}t|�}|dk s ||kr$t�d}t||| �}td|d �D ]}||| | | }qD|dk rn||7 }|dk s~||kr�t�g }|r�|| | |d |d }}}||kr�||8 }||| | |d }}q�|�|d| � q�t |�S )a Equivalent to ``list(combinations(iterable, r))[index]``. The subsequences of *iterable* that are of length *r* can be ordered lexicographically. :func:`nth_combination` computes the subsequence at sort position *index* directly, without computing the previous subsequences. >>> nth_combination(range(5), 3, 5) (0, 3, 4) ``ValueError`` will be raised If *r* is negative or greater than the length of *iterable*. ``IndexError`` will be raised if the given *index* is invalid. r rX ���)rA rY � ValueError�minrf � IndexErrorri ) r0 rc �indexrt r/ �crm rx �resultr1 r1 r2 r " s( r c C s t | g|�S )a Yield *value*, followed by the elements in *iterator*. >>> value = '0' >>> iterator = ['1', '2', '3'] >>> list(prepend(value, iterator)) ['0', '1', '2', '3'] To prepend multiple values, see :func:`itertools.chain` or :func:`value_chain`. )r )�valuer: r1 r1 r2 r L s r c c sh t |�ddd� }t|�}tdg|d�| }t| td|d ��D ]"}|�|� tttj ||��V q@dS )aB Convolve the iterable *signal* with the iterable *kernel*. >>> signal = (1, 2, 3, 4, 5) >>> kernel = [3, 2, 1] >>> list(convolve(signal, kernel)) [3, 8, 14, 20, 26, 14, 5] Note: the input arguments are not interchangeable, as the *kernel* is immediately consumed and stored. Nr| r r6 rX ) rA rY r r r ri r= r3 rB rC )�signalZkernelr/ Zwindowr] r1 r1 r2 r [ s r )r )N)N)N)N)N)N)N)NN)N)6�__doc__rP � collectionsr � itertoolsr r r r r r r r r r rB �randomr r r �__all__r* r( r) r r r r` r! r r r r r r& rJ r rL � ImportErrorr r' r r r+ r, r r r% r$ r# r" r r r r1 r1 r1 r2 �<module> sR 0 ! ( - *