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pythonlist-comprehension

What do backticks mean to the Python interpreter? Example: `num`


I'm playing around with list comprehensions and I came across this little snippet on another site:

return ''.join([`num` for num in xrange(loop_count)])

I spent a few minutes trying to replicate the function (by typing) before realising the `num` bit was breaking it.

What does enclosing a statement in those characters do? From what I can see it is the equivalent of str(num). But when I timed it:

return ''.join([str(num) for num in xrange(10000000)])

It takes 4.09 seconds whereas:

return ''.join([`num` for num in xrange(10000000)])

takes 2.43 seconds.

Both give identical results, but one is a lot slower. What is going on here?

Oddly... repr() gives slightly slower results than `num`. 2.99 seconds vs 2.43 seconds. I am using Python 2.6 (haven't tried 3.0 yet).


Solution

  • Backticks are a deprecated alias for repr(). Don't use them any more; the syntax was removed in Python 3.0.

    Using backticks seems to be faster than using repr(num) or num.__repr__() in version 2.x. I guess it's because additional dictionary lookup is required in the global namespace (for repr), or in the object's namespace (for __repr__), respectively.


    Using the dis module proves my assumption:

    def f1(a):
        return repr(a)
    
    def f2(a):
        return a.__repr__()
    
    def f3(a):
        return `a`
    

    Disassembling shows:

    >>> import dis
    >>> dis.dis(f1)
      3           0 LOAD_GLOBAL              0 (repr)
                  3 LOAD_FAST                0 (a)
                  6 CALL_FUNCTION            1
                  9 RETURN_VALUE
    >>> dis.dis(f2)
      6           0 LOAD_FAST                0 (a)
                  3 LOAD_ATTR                0 (__repr__)
                  6 CALL_FUNCTION            0
                  9 RETURN_VALUE
    >>> dis.dis(f3)
      9           0 LOAD_FAST                0 (a)
                  3 UNARY_CONVERT
                  4 RETURN_VALUE
    

    f1 involves a global lookup for repr, f2 an attribute lookup for __repr__, whereas the backtick operator is implemented in a separate opcode. Since there is no overhead for dictionary lookup (LOAD_GLOBAL/LOAD_ATTR) nor for function calls (CALL_FUNCTION), backticks are faster.

    I guess that the Python folks decided that having a separate low-level operation for repr() is not worth it, and having both repr() and backticks violates the principle

    "There should be one-- and preferably only one --obvious way to do it"

    so the feature was removed in Python 3.0.