def test_multi_env(self):
"""
Test monitoring for concurrent environments.
"""
dirpath = tempfile.mkdtemp()
try:
log_file = os.path.join(dirpath, 'monitor.csv')
env1 = LoggedEnv(SimpleEnv(2, (3,), 'float32'), log_file, use_locking=True)
env2 = LoggedEnv(SimpleEnv(3, (3,), 'float32'), log_file, use_locking=True)
env1.reset()
env2.reset()
for _ in range(13):
for env in [env1, env2]:
if env.step(env.action_space.sample())[2]:
env.reset()
env1.close()
env2.close()
with open(log_file, 'rt'):
log_contents = pandas.read_csv(log_file)
self.assertEqual(list(log_contents['r']), [2, 2.5, 2, 2.5, 2, 2, 2.5])
self.assertEqual(list(log_contents['l']), [3, 4, 3, 4, 3, 3, 4])
finally:
shutil.rmtree(dirpath)
def test_multi_env():
"""
Test monitoring for concurrent environments.
"""
with tempfile.TemporaryDirectory() as dirpath:
log_file = os.path.join(dirpath, 'monitor.csv')
env1 = LoggedEnv(SimpleEnv(2, (3, ), 'float32'),
log_file,
use_locking=True)
env2 = LoggedEnv(SimpleEnv(3, (3, ), 'float32'),
log_file,
use_locking=True)
env1.reset()
env2.reset()
for _ in range(13):
for env in [env1, env2]:
if env.step(env.action_space.sample())[2]:
env.reset()
env1.close()
env2.close()
with open(log_file, 'rt'):
log_contents = pandas.read_csv(log_file)
assert list(log_contents['r']) == [2, 2.5, 2, 2.5, 2, 2, 2.5]
assert list(log_contents['l']) == [3, 4, 3, 4, 3, 3, 4]
def test_logged_single_env():
"""
Test LoggedEnv for a single environment.
"""
with tempfile.TemporaryDirectory() as dirpath:
log_file = os.path.join(dirpath, 'monitor.csv')
env = LoggedEnv(SimpleEnv(2, (3, ), 'float32'), log_file)
for _ in range(4):
env.reset()
while not env.step(env.action_space.sample())[2]:
pass
env.close()
with open(log_file, 'rt'):
log_contents = pandas.read_csv(log_file)
assert list(log_contents['r']) == [2] * 4
assert list(log_contents['l']) == [3] * 4
def test_single_env(self):
"""
Test monitoring for a single environment.
"""
dirpath = tempfile.mkdtemp()
try:
log_file = os.path.join(dirpath, 'monitor.csv')
env = LoggedEnv(SimpleEnv(2, (3,), 'float32'), log_file)
for _ in range(4):
env.reset()
while not env.step(env.action_space.sample())[2]:
pass
env.close()
with open(log_file, 'rt'):
log_contents = pandas.read_csv(log_file)
self.assertEqual(list(log_contents['r']), [2] * 4)
self.assertEqual(list(log_contents['l']), [3] * 4)
finally:
shutil.rmtree(dirpath)