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Kirill Smelkov
cpython
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a68c2cc6
Commit
a68c2cc6
authored
Jan 11, 2011
by
Terry Reedy
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Issue #10225: Correct interactive Doc/howto/sorting.rst examples so doctest runs.
Based on part of A. Belopolsky's patch.
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Doc/howto/sorting.rst
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a68c2cc6
...
...
@@ -4,7 +4,6 @@ Sorting HOW TO
**************
:Author: Andrew Dalke and Raymond Hettinger
:Release: 0.1
Python lists have a built-in :meth:`list.sort` method that modifies the list
...
...
@@ -18,7 +17,7 @@ Sorting Basics
==============
A simple ascending sort is very easy: just call the :func:`sorted` function. It
returns a new sorted list:
:
returns a new sorted list:
>>> sorted([5, 2, 3, 1, 4])
[1, 2, 3, 4, 5]
...
...
@@ -58,28 +57,28 @@ A common pattern is to sort complex objects using some of the object's indices
as keys. For example:
>>> student_tuples = [
('john', 'A', 15),
('jane', 'B', 12),
('dave', 'B', 10),
]
...
('john', 'A', 15),
...
('jane', 'B', 12),
...
('dave', 'B', 10),
...
]
>>> sorted(student_tuples, key=lambda student: student[2]) # sort by age
[('dave', 'B', 10), ('jane', 'B', 12), ('john', 'A', 15)]
The same technique works for objects with named attributes. For example:
>>> class Student:
def __init__(self, name, grade, age):
self.name = name
self.grade = grade
self.age = age
def __repr__(self):
return repr((self.name, self.grade, self.age))
...
def __init__(self, name, grade, age):
...
self.name = name
...
self.grade = grade
...
self.age = age
...
def __repr__(self):
...
return repr((self.name, self.grade, self.age))
>>> student_objects = [
Student('john', 'A', 15),
Student('jane', 'B', 12),
Student('dave', 'B', 10),
]
...
Student('john', 'A', 15),
...
Student('jane', 'B', 12),
...
Student('dave', 'B', 10),
...
]
>>> sorted(student_objects, key=lambda student: student.age) # sort by age
[('dave', 'B', 10), ('jane', 'B', 12), ('john', 'A', 15)]
...
...
@@ -208,39 +207,39 @@ return a negative value for less-than, return zero if they are equal, or return
a positive value for greater-than. For example, we can do:
>>> def numeric_compare(x, y):
return x - y
>>> sorted([5, 2, 4, 1, 3], cmp=numeric_compare)
...
return x - y
>>> sorted([5, 2, 4, 1, 3], cmp=numeric_compare)
# doctest: +SKIP
[1, 2, 3, 4, 5]
Or you can reverse the order of comparison with:
>>> def reverse_numeric(x, y):
return y - x
>>> sorted([5, 2, 4, 1, 3], cmp=reverse_numeric)
...
return y - x
>>> sorted([5, 2, 4, 1, 3], cmp=reverse_numeric)
# doctest: +SKIP
[5, 4, 3, 2, 1]
When porting code from Python 2.x to 3.x, the situation can arise when you have
the user supplying a comparison function and you need to convert that to a key
function. The following wrapper makes that easy to do:
:
def cmp_to_key(mycmp):
'Convert a cmp= function into a key= function'
class K(object):
def __init__(self, obj, *args):
self.obj = obj
def __lt__(self, other):
return mycmp(self.obj, other.obj) < 0
def __gt__(self, other):
return mycmp(self.obj, other.obj) > 0
def __eq__(self, other):
return mycmp(self.obj, other.obj) == 0
def __le__(self, other):
return mycmp(self.obj, other.obj) <= 0
def __ge__(self, other):
return mycmp(self.obj, other.obj) >= 0
def __ne__(self, other):
return mycmp(self.obj, other.obj) != 0
return K
function. The following wrapper makes that easy to do:
>>>
def cmp_to_key(mycmp):
...
'Convert a cmp= function into a key= function'
...
class K(object):
...
def __init__(self, obj, *args):
...
self.obj = obj
...
def __lt__(self, other):
...
return mycmp(self.obj, other.obj) < 0
...
def __gt__(self, other):
...
return mycmp(self.obj, other.obj) > 0
...
def __eq__(self, other):
...
return mycmp(self.obj, other.obj) == 0
...
def __le__(self, other):
...
return mycmp(self.obj, other.obj) <= 0
...
def __ge__(self, other):
...
return mycmp(self.obj, other.obj) >= 0
...
def __ne__(self, other):
...
return mycmp(self.obj, other.obj) != 0
...
return K
To convert to a key function, just wrap the old comparison function:
...
...
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