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"""Benchmark the cu2qu algorithm performance.""" | |
from .cu2qu import * | |
import random | |
import timeit | |
MAX_ERR = 0.05 | |
def generate_curve(): | |
return [ | |
tuple(float(random.randint(0, 2048)) for coord in range(2)) | |
for point in range(4) | |
] | |
def setup_curve_to_quadratic(): | |
return generate_curve(), MAX_ERR | |
def setup_curves_to_quadratic(): | |
num_curves = 3 | |
return ([generate_curve() for curve in range(num_curves)], [MAX_ERR] * num_curves) | |
def run_benchmark(module, function, setup_suffix="", repeat=5, number=1000): | |
setup_func = "setup_" + function | |
if setup_suffix: | |
print("%s with %s:" % (function, setup_suffix), end="") | |
setup_func += "_" + setup_suffix | |
else: | |
print("%s:" % function, end="") | |
def wrapper(function, setup_func): | |
function = globals()[function] | |
setup_func = globals()[setup_func] | |
def wrapped(): | |
return function(*setup_func()) | |
return wrapped | |
results = timeit.repeat(wrapper(function, setup_func), repeat=repeat, number=number) | |
print("\t%5.1fus" % (min(results) * 1000000.0 / number)) | |
def main(): | |
run_benchmark("cu2qu", "curve_to_quadratic") | |
run_benchmark("cu2qu", "curves_to_quadratic") | |
if __name__ == "__main__": | |
random.seed(1) | |
main() | |