def test_find_first():
global counter
wfs = [counted_sqr(x) for x in range(10)]
w = find_first(is_sixteen, wfs)
result = run_single(w)
assert result == 16
assert counter == 5
wfs = [counted_sqr(x) for x in range(10)]
w = find_first(is_sixteen, wfs)
result = run_process(w, n_processes=1, registry=base)
assert result == 16
wfs = [display_sqr(x) for x in range(10)]
w = find_first(is_sixteen, wfs)
with NCDisplay() as display:
result = run_logging(w, n_threads=2, display=display)
assert result == 16
def test_find_first():
global counter
wfs = [counted_sqr(x) for x in range(10)]
w = find_first(is_sixteen, wfs)
result = run_single(w)
assert result == 16
assert counter == 5
wfs = [counted_sqr(x) for x in range(10)]
w = find_first(is_sixteen, wfs)
result = run_process(w, n_processes=1, registry=base)
assert result == 16
wfs = [display_sqr(x) for x in range(10)]
w = find_first(is_sixteen, wfs)
with NCDisplay() as display:
result = run_logging(w, n_threads=2, display=display)
assert result == 16
def run(
wf: object,
runner: str = 'parallel',
n_processes: int = 1,
cache: str = 'cache.db',
) -> Any:
"""Run a workflow `wf` using `runner` and `n_processes` number of threads/process."""
runner = runner.lower()
if isinstance(wf, Results):
wf = gather_dict(**wf.state)
if runner == 'display':
with NCDisplay() as display:
return run_logging(wf, n_processes, display)
elif runner == 'serial':
return run_single(wf)
else:
return run_provenance(wf,
n_threads=n_processes,
db_file=cache,
registry=registry,
echo_log=False,
always_cache=False)
result = json.loads(p.stdout)
return result # , p.stderr
def error_filter(xcptn):
if isinstance(xcptn, subprocess.CalledProcessError):
return xcptn.stderr
else:
return None
if __name__ == '__main__':
command = Command('e⁻Scatter', './escat', 'sp', '-no-png', '-machine',
depth='-n',
multiplicity='-m',
scaling='-x',
ball_size='-s',
hilbert='-H',
random='-R')
sizes = [i * 0.05 for i in range(20)]
a = command(depth=10, multiplicity=3, scaling=0.5, ball_size=0.01, hilbert=True)
b = command(depth=10, multiplicity=3, scaling=0.5, ball_size=0.01, random=True)
work = noodles.gather(a, b)
with SimpleDisplay(error_filter) as display:
result = noodles.run_logging(work, 1, display)
for line in result:
print(json.dumps(line, indent=2))
command = Command('e⁻Scatter',
'./escat',
'sp',
'-no-png',
'-machine',
depth='-n',
multiplicity='-m',
scaling='-x',
ball_size='-s',
hilbert='-H',
random='-R')
sizes = [i * 0.05 for i in range(20)]
a = command(depth=10,
multiplicity=3,
scaling=0.5,
ball_size=0.01,
hilbert=True)
b = command(depth=10,
multiplicity=3,
scaling=0.5,
ball_size=0.01,
random=True)
work = noodles.gather(a, b)
with SimpleDisplay(error_filter) as display:
result = noodles.run_logging(work, 1, display)
for line in result:
print(json.dumps(line, indent=2))
def error_filter(xcptn):
if isinstance(xcptn, subprocess.CalledProcessError):
return xcptn.stderr
else:
return None
if __name__ == "__main__":
# Problem definition
dimensions = 10
evaluator = Rastrigin(dimensions=dimensions)
# Evolutionary Algorithm
config = {
'population_size': 40, # mu
'offspring': 40, # lamda
'generations': 10,
'initial_sigma': 0.01,
'learning_rate': 1.0 / np.sqrt(dimensions)
}
ea = EA(config=config, fitness_evaluator=evaluator)
g = ea.next_generation(ea.initialize())
print("╭─(Running evolution...)")
with SimpleDisplay(error_filter) as display:
answer = run_logging(g, 1, display)
# answer = run_single(g)
for i in answer.individuals:
print(i.fitness)
def test_single_node():
with Display() as display:
assert run_logging(g(5), 1, display) == 5
