def main(input_file, opt_level, pgc):
SAVEDCWD = os.getcwd()
tests = []
# Lifted from libregr.main
regex = re.compile(r'\btest_[a-zA-Z0-9_]+\b')
with open(os.path.join(SAVEDCWD, input_file)) as fp:
for line in fp:
line = line.split('#', 1)[0]
line = line.strip()
match = regex.search(line)
if match is not None:
tests.append(match.group())
has_failures = False
for test in tests:
test_cases = unittest.defaultTestLoader.loadTestsFromName(f"test.{test}")
print(f"Testing {test}")
for case in test_cases:
pyjion.enable()
pyjion.enable_tracing()
if pgc:
pyjion.enable_pgc()
print("Enabling PGC")
else:
pyjion.disable_pgc()
print("Disabling PGC")
print(f"Trying with Optimizations = {opt_level}")
pyjion.set_optimization_level(opt_level)
r = unittest.result.TestResult()
case.run(r)
if r.wasSuccessful():
print(f"All tests in case successful.")
else:
print(f"Failures occurred.")
has_failures = True
for failedcase, reason in r.expectedFailures:
print(f"---------------------------------------------------------------")
print(f"Test case {failedcase} was expected to fail:")
print(reason)
print(f"---------------------------------------------------------------")
for failedcase, reason in r.failures:
print(f"---------------------------------------------------------------")
print(f"Test case {failedcase} failed:")
print(reason)
print(f"---------------------------------------------------------------")
for failedcase, reason in r.errors:
print(f"---------------------------------------------------------------")
print(f"Test case {failedcase} failed with errors:")
print(reason)
print(f"---------------------------------------------------------------")
pyjion.disable()
gc.collect()
return has_failures
self.x = self.x if self.x > other.x else other.x
self.y = self.y if self.y > other.y else other.y
self.z = self.z if self.z > other.z else other.z
return self
def maximize(points):
next = points[0]
for p in points[1:]:
next = next.maximize(p)
return next
def benchmark(n=POINTS):
points = [None] * n
for i in range(n):
points[i] = Point(i)
for p in points:
p.normalize()
return maximize(points)
if __name__ == "__main__":
print("Float took {0} without Pyjion".format(
timeit.repeat(benchmark, repeat=5, number=1), ))
pyjion.enable()
pyjion.set_optimization_level(1)
print("Float took {0} with Pyjion".format(
timeit.repeat(benchmark, repeat=5, number=1), ))
pyjion.disable()
