Does anyone know of a faster decimal implementation in python?
As the example below demonstrates, the standard library's decimal module is ~100 times slower than float
.
from timeit import Timer
def run(val, the_class):
test = the_class(1)
for c in xrange(10000):
d = the_class(val)
d + test
d - test
d * test
d / test
d ** test
str(d)
abs(d)
if __name__ == "__main__":
a = Timer("run(123.345, float)", "from decimal_benchmark import run")
print "FLOAT", a.timeit(1)
a = Timer("run('123.345', Decimal)", "from decimal_benchmark import run; from decimal import Decimal")
print "DECIMAL", a.timeit(1)
Outputs:
FLOAT 0.040635041427
DECIMAL 3.39666790146
The GMP library is one of the best arbitrary precision math libraries around, and there is a Python binding available at GMPY. I would try that method.