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Minor doc fixes.
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3 changed files with 10 additions and 7 deletions
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@ -396,7 +396,7 @@ Glossary
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also :term:`immutable`.
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also :term:`immutable`.
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named tuple
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named tuple
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Any tuple subclass whose indexable elements are also accessible using
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Any tuple-like class whose indexable elements are also accessible using
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named attributes (for example, :func:`time.localtime` returns a
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named attributes (for example, :func:`time.localtime` returns a
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tuple-like object where the *year* is accessible either with an
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tuple-like object where the *year* is accessible either with an
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index such as ``t[0]`` or with a named attribute like ``t.tm_year``).
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index such as ``t[0]`` or with a named attribute like ``t.tm_year``).
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@ -221,7 +221,7 @@ loops that truncate the stream.
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class groupby(object):
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class groupby(object):
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# [k for k, g in groupby('AAAABBBCCDAABBB')] --> A B C D A B
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# [k for k, g in groupby('AAAABBBCCDAABBB')] --> A B C D A B
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# [(list(g)) for k, g in groupby('AAAABBBCCD')] --> AAAA BBB CC D
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# [list(g) for k, g in groupby('AAAABBBCCD')] --> AAAA BBB CC D
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def __init__(self, iterable, key=None):
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def __init__(self, iterable, key=None):
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if key is None:
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if key is None:
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key = lambda x: x
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key = lambda x: x
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@ -614,8 +614,8 @@ which incur interpreter overhead.
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return imap(function, count(start))
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return imap(function, count(start))
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def nth(iterable, n):
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def nth(iterable, n):
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"Returns the nth item or empty list"
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"Returns the nth item or None"
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return list(islice(iterable, n, n+1))
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return next(islice(iterable, n, None), None)
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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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@ -1201,8 +1201,8 @@ Samuele
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... return imap(function, count(start))
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... return imap(function, count(start))
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>>> def nth(iterable, n):
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>>> def nth(iterable, n):
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... "Returns the nth item or empty list"
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... "Returns the nth item or None"
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... return list(islice(iterable, n, n+1))
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... return next(islice(iterable, n, None), None)
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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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@ -1318,7 +1318,10 @@ perform as purported.
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[0, 2, 4, 6]
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[0, 2, 4, 6]
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>>> nth('abcde', 3)
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>>> nth('abcde', 3)
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['d']
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'd'
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>>> nth('abcde', 9) is None
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True
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>>> quantify(xrange(99), lambda x: x%2==0)
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>>> quantify(xrange(99), lambda x: x%2==0)
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50
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50
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