Optimized lazy() by removing use of @total_ordering.

@total_ordering is slow. Using the following micro-benchmark
(resultclasses intentionally omitted to narrow the scope):

    import cProfile
    from django.utils.functional import lazy
    def identity(x): return x
    cProfile.run("for i in range(10000): str(lazy(identity)(1))")

Before:

    380003 function calls in 0.304 seconds

    ncalls  tottime  percall  cumtime  percall filename:lineno(function)
         1    0.016    0.016    0.304    0.304 <string>:1(<module>)
     10000    0.002    0.000    0.002    0.000 bench.py:5(double)
     10000    0.005    0.000    0.006    0.000 functional.py:100(__cast)
     10000    0.007    0.000    0.013    0.000 functional.py:106(__str__)
     10000    0.005    0.000    0.017    0.000 functional.py:140(__wrapper__)
     10000    0.020    0.000    0.258    0.000 functional.py:60(lazy)
     10000    0.039    0.000    0.039    0.000 functional.py:68(__proxy__)
     10000    0.010    0.000    0.012    0.000 functional.py:77(__init__)
     10000    0.002    0.000    0.002    0.000 functional.py:84(__prepare_class__)
     10000    0.025    0.000    0.075    0.000 functools.py:186(total_ordering)
     10000    0.015    0.000    0.028    0.000 functools.py:189(<setcomp>)
     10000    0.024    0.000    0.044    0.000 functools.py:37(update_wrapper)
     10000    0.005    0.000    0.005    0.000 functools.py:67(wraps)
     10000    0.074    0.000    0.114    0.000 {built-in method builtins.__build_class__}
         1    0.000    0.000    0.304    0.304 {built-in method builtins.exec}
    150000    0.023    0.000    0.023    0.000 {built-in method builtins.getattr}
     10000    0.004    0.000    0.004    0.000 {built-in method builtins.max}
     80000    0.025    0.000    0.025    0.000 {built-in method builtins.setattr}
         1    0.000    0.000    0.000    0.000 {method 'disable' of '_lsprof.Profiler' objects}
     10000    0.003    0.000    0.003    0.000 {method 'update' of 'dict' objects}

After:

    240003 function calls in 0.231 seconds

    ncalls  tottime  percall  cumtime  percall filename:lineno(function)
         1    0.016    0.016    0.231    0.231 <string>:1(<module>)
     10000    0.002    0.000    0.002    0.000 bench.py:5(double)
     10000    0.006    0.000    0.012    0.000 functional.py:105(__str__)
     10000    0.005    0.000    0.017    0.000 functional.py:159(__wrapper__)
     10000    0.015    0.000    0.186    0.000 functional.py:60(lazy)
     10000    0.022    0.000    0.022    0.000 functional.py:68(__proxy__)
     10000    0.010    0.000    0.012    0.000 functional.py:76(__init__)
     10000    0.002    0.000    0.002    0.000 functional.py:83(__prepare_class__)
     10000    0.004    0.000    0.006    0.000 functional.py:99(__cast)
     10000    0.023    0.000    0.043    0.000 functools.py:37(update_wrapper)
     10000    0.004    0.000    0.004    0.000 functools.py:67(wraps)
     10000    0.102    0.000    0.124    0.000 {built-in method builtins.__build_class__}
         1    0.000    0.000    0.231    0.231 {built-in method builtins.exec}
     70000    0.011    0.000    0.011    0.000 {built-in method builtins.getattr}
     50000    0.007    0.000    0.007    0.000 {built-in method builtins.setattr}
         1    0.000    0.000    0.000    0.000 {method 'disable' of '_lsprof.Profiler' objects}
     10000    0.003    0.000    0.003    0.000 {method 'update' of 'dict' objects}
This commit is contained in:
Ran Benita 2019-05-03 13:34:05 +03:00 committed by Mariusz Felisiak
parent a57d5d9bbc
commit ee36e101e8
1 changed files with 21 additions and 2 deletions

View File

@ -1,7 +1,7 @@
import copy
import itertools
import operator
from functools import total_ordering, wraps
from functools import wraps
class cached_property:
@ -82,7 +82,6 @@ def lazy(func, *resultclasses):
function is evaluated on every access.
"""
@total_ordering
class __proxy__(Promise):
"""
Encapsulate a function call and act as a proxy for methods that are
@ -144,11 +143,31 @@ def lazy(func, *resultclasses):
other = other.__cast()
return self.__cast() == other
def __ne__(self, other):
if isinstance(other, Promise):
other = other.__cast()
return self.__cast() != other
def __lt__(self, other):
if isinstance(other, Promise):
other = other.__cast()
return self.__cast() < other
def __le__(self, other):
if isinstance(other, Promise):
other = other.__cast()
return self.__cast() <= other
def __gt__(self, other):
if isinstance(other, Promise):
other = other.__cast()
return self.__cast() > other
def __ge__(self, other):
if isinstance(other, Promise):
other = other.__cast()
return self.__cast() >= other
def __hash__(self):
return hash(self.__cast())