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      1. Python 2 如何比较字符串和整数?为什么列表比较大于数字,而元组大于列表?

        时间:2024-04-22

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                1. 本文介绍了Python 2 如何比较字符串和整数?为什么列表比较大于数字,而元组大于列表?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着跟版网的小编来一起学习吧!

                  问题描述

                  The following snippet is annotated with the output (as seen on ideone.com):

                  print "100" < "2"      # True
                  print "5" > "9"        # False
                  
                  print "100" < 2        # False
                  print 100 < "2"        # True
                  
                  print 5 > "9"          # False
                  print "5" > 9          # True
                  
                  print [] > float('inf') # True
                  print () > []          # True
                  

                  Can someone explain why the output is as such?


                  Implementation details

                  • Is this behavior mandated by the language spec, or is it up to implementors?
                  • Are there differences between any of the major Python implementations?
                  • Are there differences between versions of the Python language?

                  解决方案

                  From the python 2 manual:

                  CPython implementation detail: Objects of different types except numbers are ordered by their type names; objects of the same types that don’t support proper comparison are ordered by their address.

                  When you order two strings or two numeric types the ordering is done in the expected way (lexicographic ordering for string, numeric ordering for integers).

                  When you order a numeric and a non-numeric type, the numeric type comes first.

                  >>> 5 < 'foo'
                  True
                  >>> 5 < (1, 2)
                  True
                  >>> 5 < {}
                  True
                  >>> 5 < [1, 2]
                  True
                  

                  When you order two incompatible types where neither is numeric, they are ordered by the alphabetical order of their typenames:

                  >>> [1, 2] > 'foo'   # 'list' < 'str' 
                  False
                  >>> (1, 2) > 'foo'   # 'tuple' > 'str'
                  True
                  
                  >>> class Foo(object): pass
                  >>> class Bar(object): pass
                  >>> Bar() < Foo()
                  True
                  

                  One exception is old-style classes that always come before new-style classes.

                  >>> class Foo: pass           # old-style
                  >>> class Bar(object): pass   # new-style
                  >>> Bar() < Foo()
                  False
                  


                  Is this behavior mandated by the language spec, or is it up to implementors?

                  There is no language specification. The language reference says:

                  Otherwise, objects of different types always compare unequal, and are ordered consistently but arbitrarily.

                  So it is an implementation detail.

                  Are there differences between any of the major Python implementations?

                  I can't answer this one because I have only used the official CPython implementation, but there are other implementations of Python such as PyPy.

                  Are there differences between versions of the Python language?

                  In Python 3.x the behaviour has been changed so that attempting to order an integer and a string will raise an error:

                  >>> '10' > 5
                  Traceback (most recent call last):
                    File "<pyshell#0>", line 1, in <module>
                      '10' > 5
                  TypeError: unorderable types: str() > int()
                  

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