Reputation: 2149
I am wondering why repr(int)
is faster than str(int)
. With the following code snippet:
ROUNDS = 10000
def concat_strings_str():
return ''.join(map(str, range(ROUNDS)))
def concat_strings_repr():
return ''.join(map(repr, range(ROUNDS)))
%timeit concat_strings_str()
%timeit concat_strings_repr()
I get these timings (python 3.5.2, but very similar results with 2.7.12):
1.9 ms ± 17.9 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)
1.38 ms ± 9.07 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)
If I'm on the right path, the same function long_to_decimal_string
is getting called below the hood.
Did I get something wrong or what else is going on that I am missing?
update:
This probably has nothing to with int
's __repr__
or __str__
methods but with the differences between repr()
and str()
, as int.__str__
and int.__repr__
are in fact comparably fast:
def concat_strings_str():
return ''.join([one.__str__() for one in range(ROUNDS)])
def concat_strings_repr():
return ''.join([one.__repr__() for one in range(ROUNDS)])
%timeit concat_strings_str()
%timeit concat_strings_repr()
results in:
2.02 ms ± 24.3 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)
2.05 ms ± 7.07 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)
Upvotes: 35
Views: 3177
Reputation: 160447
Because using str(obj)
must first go through type.__call__
then str.__new__
(create a new string) then PyObject_Str
(make a string out of the object) which invokes int.__str__
and, finally, uses the function you linked.
repr(obj)
, which corresponds to builtin_repr
, directly calls PyObject_Repr
(get the object repr) which then calls int.__repr__
which uses the same function as int.__str__
.
Additionally, the path they take through call_function
(the function that handles the CALL_FUNCTION
opcode that's generated for calls) is slightly different.
From the master branch on GitHub (CPython 3.7):
str
goes through _PyObject_FastCallKeywords
(which is the one that calls type.__call__
). Apart from performing more checks, this also needs to create a tuple to hold the positional arguments (see _PyStack_AsTuple
). repr
goes through _PyCFunction_FastCallKeywords
which calls _PyMethodDef_RawFastCallKeywords
. repr
is also lucky because, since it only accepts a single argument (the switch leads it to the METH_0
case in _PyMethodDef_RawFastCallKeywords
) there's no need to create a tuple, just indexing of the args. As your update states, this isn't about int.__repr__
vs int.__str__
, they are the same function after all; it's all about how repr
and str
reach them. str
just needs to work a bit harder.
Upvotes: 36
Reputation: 9177
I just compared the str
and repr
implementations in the 3.5 branch.
See here.
There seems to be more checks in str
:
Upvotes: 12
Reputation: 152677
There are several possibilities because the CPython functions that are responsible for the str
and repr
return are slightly different.
But I guess the primary reason is that str
is a type
(a class) and the str.__new__
method has to call __str__
while repr
can directly go to __repr__
.
Upvotes: 8