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Document another recipe for itertools: all_equal(). Inspired by David Beazley.
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@ -693,6 +693,11 @@ which incur interpreter overhead.
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"Returns the nth item or a default value"
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"Returns the nth item or a default value"
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return next(islice(iterable, n, None), default)
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return next(islice(iterable, n, None), default)
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def all_equal(iterable):
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"Returns True if all the elements are equal to each other"
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g = groupby(iterable)
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return next(g, True) and not next(g, False)
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def quantify(iterable, pred=bool):
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def quantify(iterable, pred=bool):
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"Count how many times the predicate is true"
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"Count how many times the predicate is true"
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return sum(map(pred, iterable))
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return sum(map(pred, iterable))
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@ -2014,6 +2014,11 @@ Samuele
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... "Returns the nth item or a default value"
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... "Returns the nth item or a default value"
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... return next(islice(iterable, n, None), default)
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... return next(islice(iterable, n, None), default)
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>>> def all_equal(iterable):
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... "Returns True if all the elements are equal to each other"
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... g = groupby(iterable)
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... return next(g, True) and not next(g, False)
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>>> def quantify(iterable, pred=bool):
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>>> def quantify(iterable, pred=bool):
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... "Count how many times the predicate is true"
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... "Count how many times the predicate is true"
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... return sum(map(pred, iterable))
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... return sum(map(pred, iterable))
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@ -2127,6 +2132,9 @@ perform as purported.
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>>> nth('abcde', 9) is None
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>>> nth('abcde', 9) is None
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True
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True
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>>> [all_equal(s) for s in ('', 'A', 'AAAA', 'AAAB', 'AAABA')]
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[True, True, True, False, False]
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>>> quantify(range(99), lambda x: x%2==0)
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>>> quantify(range(99), lambda x: x%2==0)
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50
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50
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