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sm-ai-search / venv / Lib / collections / __pycache__ / __init__.cpython-36.opt-1.pyc
📄 __init__.cpython-36.opt-1.pyc · 500 lines 
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)ra�from builtins import property as _property, tuple as _tuple
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class {typename}(tuple):
    '{typename}({arg_list})'

    __slots__ = ()

    _fields = {field_names!r}

    def __new__(_cls, {arg_list}):
        'Create new instance of {typename}({arg_list})'
        return _tuple.__new__(_cls, ({arg_list}))

    @classmethod
    def _make(cls, iterable, new=tuple.__new__, len=len):
        'Make a new {typename} object from a sequence or iterable'
        result = new(cls, iterable)
        if len(result) != {num_fields:d}:
            raise TypeError('Expected {num_fields:d} arguments, got %d' % len(result))
        return result

    def _replace(_self, **kwds):
        'Return a new {typename} object replacing specified fields with new values'
        result = _self._make(map(kwds.pop, {field_names!r}, _self))
        if kwds:
            raise ValueError('Got unexpected field names: %r' % list(kwds))
        return result

    def __repr__(self):
        'Return a nicely formatted representation string'
        return self.__class__.__name__ + '({repr_fmt})' % self

    def _asdict(self):
        'Return a new OrderedDict which maps field names to their values.'
        return OrderedDict(zip(self._fields, self))

    def __getnewargs__(self):
        'Return self as a plain tuple.  Used by copy and pickle.'
        return tuple(self)

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    >>> p = Point(11, y=22)             # instantiate with positional args or keywords
    >>> p[0] + p[1]                     # indexable like a plain tuple
    33
    >>> x, y = p                        # unpack like a regular tuple
    >>> x, y
    (11, 22)
    >>> p.x + p.y                       # fields also accessible by name
    33
    >>> d = p._asdict()                 # convert to a dictionary
    >>> d['x']
    11
    >>> Point(**d)                      # convert from a dictionary
    Point(x=11, y=22)
    >>> p._replace(x=100)               # _replace() is like str.replace() but targets named fields
    Point(x=100, y=22)

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cCs*|j}x|D]}||d�d||<qWdS)z!Tally elements from the iterable.r
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    >>> c.most_common(3)                # three most common elements
    [('a', 5), ('b', 4), ('c', 3)]
    >>> sorted(c)                       # list all unique elements
    ['a', 'b', 'c', 'd', 'e']
    >>> ''.join(sorted(c.elements()))   # list elements with repetitions
    'aaaaabbbbcccdde'
    >>> sum(c.values())                 # total of all counts
    15

    >>> c['a']                          # count of letter 'a'
    5
    >>> for elem in 'shazam':           # update counts from an iterable
    ...     c[elem] += 1                # by adding 1 to each element's count
    >>> c['a']                          # now there are seven 'a'
    7
    >>> del c['b']                      # remove all 'b'
    >>> c['b']                          # now there are zero 'b'
    0

    >>> d = Counter('simsalabim')       # make another counter
    >>> c.update(d)                     # add in the second counter
    >>> c['a']                          # now there are nine 'a'
    9

    >>> c.clear()                       # empty the counter
    >>> c
    Counter()

    Note:  If a count is set to zero or reduced to zero, it will remain
    in the counter until the entry is deleted or the counter is cleared:

    >>> c = Counter('aaabbc')
    >>> c['b'] -= 2                     # reduce the count of 'b' by two
    >>> c.most_common()                 # 'b' is still in, but its count is zero
    [('a', 3), ('c', 1), ('b', 0)]

    csN|std��|^}}t|�dkr0tdt|���tt|�j�|j||�dS)a	Create a new, empty Counter object.  And if given, count elements
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        >>> c = Counter('gallahad')                 # a new counter from an iterable
        >>> c = Counter({'a': 4, 'b': 2})           # a new counter from a mapping
        >>> c = Counter(a=4, b=2)                   # a new counter from keyword args

        z;descriptor '__init__' of 'Counter' object needs an argumentr&z$expected at most 1 arguments, got %dN)r'r(�superrr2re)r/r0r)rQrrr2szCounter.__init__cCsdS)z1The count of elements not in the Counter is zero.r
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        # Knuth's example for prime factors of 1836:  2**2 * 3**3 * 17**1
        >>> prime_factors = Counter({2: 2, 3: 3, 17: 1})
        >>> product = 1
        >>> for factor in prime_factors.elements():     # loop over factors
        ...     product *= factor                       # and multiply them
        >>> product
        1836

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t	||�|r�|j|�dS)a�Like dict.update() but add counts instead of replacing them.

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        >>> c.update('witch')           # add elements from another iterable
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        >>> c.update(d)                 # add elements from another counter
        >>> c['h']                      # four 'h' in which, witch, and watch
        4

        z9descriptor 'update' of 'Counter' object needs an argumentr&z$expected at most 1 arguments, got %dr
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zCounter.updatecOs�|std��|^}}t|�dkr0tdt|���|r<|dnd}|dk	r�|j}t|t�r�xH|j�D]\}}||d�|||<qbWn x|D]}||d�d||<q�W|r�|j|�dS)a�Like dict.update() but subtracts counts instead of replacing them.
        Counts can be reduced below zero.  Both the inputs and outputs are
        allowed to contain zero and negative counts.

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        >>> c = Counter('which')
        >>> c.subtract('witch')             # subtract elements from another iterable
        >>> c.subtract(Counter('watch'))    # subtract elements from another counter
        >>> c['h']                          # 2 in which, minus 1 in witch, minus 1 in watch
        0
        >>> c['w']                          # 1 in which, minus 1 in witch, minus 1 in watch
        -1

        z;descriptor 'subtract' of 'Counter' object needs an argumentr&z$expected at most 1 arguments, got %dr
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zCounter.subtractcCs
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rZdj|jjt|��SXdS)Nz%s()z, z%r: %rz%s({%s})z
{0}({1!r}))	rQrr�r`�__mod__r�r'rtr>)rrKrrrrS�szCounter.__repr__cCsxt|t�stSt�}x0|j�D]$\}}|||}|dkr|||<qWx,|j�D] \}}||krP|dkrP|||<qPW|S)zAdd counts from two counters.

        >>> Counter('abbb') + Counter('bcc')
        Counter({'b': 4, 'c': 2, 'a': 1})

        r
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zCounter.__add__cCs|t|t�stSt�}x0|j�D]$\}}|||}|dkr|||<qWx0|j�D]$\}}||krP|dkrPd|||<qPW|S)z� Subtract count, but keep only results with positive counts.

        >>> Counter('abbbc') - Counter('bccd')
        Counter({'b': 2, 'a': 1})

        r
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zCounter.__sub__cCs�t|t�stSt�}x<|j�D]0\}}||}||kr:|n|}|dkr|||<qWx,|j�D] \}}||kr\|dkr\|||<q\W|S)z�Union is the maximum of value in either of the input counters.

        >>> Counter('abbb') | Counter('bcc')
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