def bench_guards(nguard):
def func():
pass
no_guard = bench(func, number=100)
print("no guard: %s" % format_dt(no_guard))
if fat.get_specialized(func):
print("ERROR: func already specialized")
sys.exit(1)
guards = [
fat.GuardDict(globals(), ('global_var', )) for i in range(nguard)
]
fat.specialize(func, fast_func, guards)
with_guards = bench(func)
print("with %s guards on globals: %s" % (nguard, format_dt(with_guards)))
dt = with_guards - no_guard
print("cost of %s guards: %s (%.1f%%)" %
(nguard, format_dt(dt), dt * 100 / no_guard))
dt = dt / nguard
print("average cost of 1 guard: %s (%.1f%%)" %
(format_dt(dt), dt * 100 / no_guard))
print()
def bench_guards(nguard):
def func():
pass
no_guard = bench(func, number=100)
print("no guard: %s" % format_dt(no_guard))
if fat.get_specialized(func):
print("ERROR: func already specialized")
sys.exit(1)
guards = [fat.GuardDict(globals(), ("global_var",)) for i in range(nguard)]
fat.specialize(func, fast_func, guards)
with_guards = bench(func)
print("with %s guards on globals: %s" % (nguard, format_dt(with_guards)))
dt = with_guards - no_guard
print("cost of %s guards: %s (%.1f%%)" % (nguard, format_dt(dt), dt * 100 / no_guard))
dt = dt / nguard
print("average cost of 1 guard: %s (%.1f%%)" % (format_dt(dt), dt * 100 / no_guard))
print()
def main():
if fat.get_specialized(func) or fat.get_specialized(func2):
print("ERROR: functions already specialized!")
sys.exit(1)
fat.specialize(func2, fast_func2, [fat.GuardArgType(0, (list,))])
for range_pow10 in (0, 1, 3, 5):
print("range(10 ** %s)" % range_pow10)
dt = bench_list('func', range_pow10)
print("- original bytecode: %s" % format_dt(dt))
dt2 = bench_list('func2', range_pow10)
print("- append=obj.append with guards: %s" % compared_dt(dt2, dt))
dt2 = bench_list('fast_func2', range_pow10)
print("- append=obj.append: %s" % compared_dt(dt2, dt))
def main():
if fat.get_specialized(func) or fat.get_specialized(func2):
print("ERROR: functions already specialized!")
sys.exit(1)
fat.specialize(func2, fast_func2, [fat.GuardArgType(0, (list, ))])
for range_pow10 in (0, 1, 3, 5):
print("range(10 ** %s)" % range_pow10)
dt = bench_list('func', range_pow10)
print("- original bytecode: %s" % format_dt(dt))
dt2 = bench_list('func2', range_pow10)
print("- append=obj.append with guards: %s" % compared_dt(dt2, dt))
dt2 = bench_list('fast_func2', range_pow10)
print("- append=obj.append: %s" % compared_dt(dt2, dt))
import ast
import fatoptimizer
import time
from fatoptimizer.benchmark import format_dt
config = fatoptimizer.Config()
config.enable_all()
filename = 'x.py'
tree = ast.parse('x')
print("Optimize AST tree:")
print(ast.dump(tree))
loops = 1000
best = None
for run in range(5):
start = time.perf_counter()
for loop in range(loops):
fatoptimizer.optimize(tree, filename, config)
dt = (time.perf_counter() - start) / loops
if best is not None:
best = min(best, dt)
else:
best = dt
print("%s / call" % format_dt(dt))
"""Test whether a path is absolute"""
sep = _get_sep(s)
return s.startswith(sep)
def fast_isabs(s):
"""Test whether a path is absolute"""
sep = _get_sep(s)
return s.startswith(sep)
# Manually inline _get_sep() in isabs() depending on the type of the s argument
def isabs_str(s):
return s.startswith('/')
for func in (_get_sep, isabs, fast_isabs, isabs_str):
if fat.get_specialized(func):
print("ERROR: a function is already specialized!")
sys.exit(1)
fat.specialize(fast_isabs, isabs_str,
[fat.GuardArgType(0, (str,)),
fat.GuardGlobals(('_get_sep',)),
fat.GuardBuiltins(('isinstance',)),
fat.GuardFunc(_get_sep)])
dt = bench("isabs('/abc')")
print("original isabs() bytecode: %s" % format_dt(dt))
dt2 = bench("fast_isabs('/abc')")
print("_get_sep() inlined in isabs(): %s" % compared_dt(dt2, dt))