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author | Zachary Ware <zachary.ware@gmail.com> | 2016-08-09 17:38:44 -0500 |
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committer | Zachary Ware <zachary.ware@gmail.com> | 2016-08-09 17:38:44 -0500 |
commit | 1f27685720b22d41179ce2a5b862e4cc5e7a15a4 (patch) | |
tree | 6b7ccda5057d7674e7428b927c904debdd2b8317 | |
parent | 930fe6e6800bb5a97d8d9e8ae7e0b923d1a7e3e4 (diff) | |
parent | 332bd17047b18a410bba27e901a77e8d5014299a (diff) | |
download | cpython-1f27685720b22d41179ce2a5b862e4cc5e7a15a4.tar.gz |
Closes #27205: Merge with 3.5
-rw-r--r-- | Doc/library/collections.rst | 30 |
1 files changed, 15 insertions, 15 deletions
diff --git a/Doc/library/collections.rst b/Doc/library/collections.rst index 1758f32577..4503a07d32 100644 --- a/Doc/library/collections.rst +++ b/Doc/library/collections.rst @@ -263,7 +263,7 @@ For example:: is less than one, :meth:`elements` will ignore it. >>> c = Counter(a=4, b=2, c=0, d=-2) - >>> list(c.elements()) + >>> sorted(c.elements()) ['a', 'a', 'a', 'a', 'b', 'b'] .. method:: most_common([n]) @@ -273,7 +273,7 @@ For example:: :func:`most_common` returns *all* elements in the counter. Elements with equal counts are ordered arbitrarily: - >>> Counter('abracadabra').most_common(3) + >>> Counter('abracadabra').most_common(3) # doctest: +SKIP [('a', 5), ('r', 2), ('b', 2)] .. method:: subtract([iterable-or-mapping]) @@ -329,7 +329,7 @@ counts, but the output will exclude results with counts of zero or less. Counter({'a': 4, 'b': 3}) >>> c - d # subtract (keeping only positive counts) Counter({'a': 2}) - >>> c & d # intersection: min(c[x], d[x]) + >>> c & d # intersection: min(c[x], d[x]) # doctest: +SKIP Counter({'a': 1, 'b': 1}) >>> c | d # union: max(c[x], d[x]) Counter({'a': 3, 'b': 2}) @@ -698,7 +698,7 @@ sequence of key-value pairs into a dictionary of lists: >>> for k, v in s: ... d[k].append(v) ... - >>> list(d.items()) + >>> sorted(d.items()) [('blue', [2, 4]), ('red', [1]), ('yellow', [1, 3])] When each key is encountered for the first time, it is not already in the @@ -713,7 +713,7 @@ simpler and faster than an equivalent technique using :meth:`dict.setdefault`: >>> for k, v in s: ... d.setdefault(k, []).append(v) ... - >>> list(d.items()) + >>> sorted(d.items()) [('blue', [2, 4]), ('red', [1]), ('yellow', [1, 3])] Setting the :attr:`default_factory` to :class:`int` makes the @@ -725,8 +725,8 @@ languages): >>> for k in s: ... d[k] += 1 ... - >>> list(d.items()) - [('i', 4), ('p', 2), ('s', 4), ('m', 1)] + >>> sorted(d.items()) + [('i', 4), ('m', 1), ('p', 2), ('s', 4)] When a letter is first encountered, it is missing from the mapping, so the :attr:`default_factory` function calls :func:`int` to supply a default count of @@ -752,7 +752,7 @@ Setting the :attr:`default_factory` to :class:`set` makes the >>> for k, v in s: ... d[k].add(v) ... - >>> list(d.items()) + >>> sorted(d.items()) [('blue', {2, 4}), ('red', {1, 3})] @@ -914,15 +914,15 @@ functionality with a subclass. Here is how to add a calculated field and a fixed-width print format: >>> class Point(namedtuple('Point', 'x y')): - __slots__ = () - @property - def hypot(self): - return (self.x ** 2 + self.y ** 2) ** 0.5 - def __str__(self): - return 'Point: x=%6.3f y=%6.3f hypot=%6.3f' % (self.x, self.y, self.hypot) + ... __slots__ = () + ... @property + ... def hypot(self): + ... return (self.x ** 2 + self.y ** 2) ** 0.5 + ... def __str__(self): + ... return 'Point: x=%6.3f y=%6.3f hypot=%6.3f' % (self.x, self.y, self.hypot) >>> for p in Point(3, 4), Point(14, 5/7): - print(p) + ... print(p) Point: x= 3.000 y= 4.000 hypot= 5.000 Point: x=14.000 y= 0.714 hypot=14.018 |