def popcode(y, resolution):
N = y.shape[0]
pc = np.zeros((N, resolution), 'float32')
for i in range(N):
# assert 0 <= y[i] <= 1
# y in [0, 1]
x = y[i] * (resolution - 1)
# x in [0, res-1]
l = np.floor(x) # l in [0, res-1]
u = np.ceil(x) # u in [0, res-1]
if l == u:
pc[i, l] = 1
continue
lr = x - l
if False:
ur = u - x
assert_allclose(lr + ur, 1)
pc[i, l] = 1 - lr
pc[i, u] = lr
return pc
def test_encryption():
password = '******'
for nbits in [8, 16, 20]:
bits = np.round(np.random.rand(nbits))
msg = bits_encrypt(bits, password)
bits2 = bits_decrypt(msg, password, len(bits))
assert_allclose(bits, bits2)
def test_popcode_inv():
for _, a, b in examples:
b = np.array([b]).astype('float32')
a2 = popcode_inv(b)
# print(' a = %s' % a)
# print('a2 = %s' % a2)
# print(' b = %s' % b)
assert_allclose(a2[0], a)
def test_popcode():
for resolution, a, b in examples:
a = np.array([a]).astype('float32')
b2 = popcode(a, resolution)
# print(' a = %s' % a)
# print(' b = %s' % b)
# print('b2 = %s' % b2)
assert_allclose(b2[0], b)
def check_scale_score_variants_test():
print('Original scale_score')
v = data['v5']
x0 = scale_score(v)
check_scale_score(v, x0)
for id_algo, algo in algos.items():
print('Variant %s' % id_algo)
x = algo(v)
check_scale_score(v, x)
assert_allclose(x, x0)
def test_popcode1():
resolution = 10
N = 5
for resolution in [2, 5, 10, 20]:
a = np.random.rand(N)
b = popcode(a, resolution=resolution)
a2 = popcode_inv(b)
# print('---')
# print(' a = %s' % a)
# print(' b = %s' % b)
# print('a2 = %s' % a2)
assert b.shape == (N, resolution)
assert a2.shape == a.shape
assert_allclose(a2, a)
def check_logs_formats(id_agent, agent, id_robot, robot): # @UnusedVariable
with create_tmp_dir() as root:
os.mkdir(os.path.join(root, 'config'))
data_central = DataCentral(root)
# Simulate two episodes
# NO! there is a bug in bag reading; the messages are read
# in timestamp order; and for now different episodes can
# have overlapping timestamps
try:
simulate(data_central, id_agent=id_agent, id_robot=id_robot,
max_episode_len=2,
num_episodes=1, # changed from 2 (see above)
cumulative=False,
id_episodes=None,
stateful=False,
interval_print=None,
write_extra=True)
except UnsupportedSpec:
return
log_index = data_central.get_log_index()
log_index.reindex()
streams = log_index.get_streams_for(id_robot, id_agent)
if len(streams) != 1:
msg = 'Expected to find 1 stream, not %d' % len(streams)
raise Exception(msg)
stream_orig = streams[0]
for logs_format, interface in LogsFormat.formats.items():
try:
dirname = os.path.join(root, logs_format)
safe_makedirs(dirname)
filename = os.path.join(dirname, 'example.%s' % logs_format)
written = []
id_stream = 'example'
with interface.write_stream(filename, id_stream,
robot.get_spec()) as writer:
for observations in stream_orig.read():
logger.info('Writing %s:%s (%s)' %
(observations['id_episode'],
observations['counter'],
observations['timestamp']))
writer.push_observations(observations)
written.append(observations)
count = 0
for obs_read in interface.read_from_stream(filename,
id_stream):
logger.info('Reading %s:%s (%s)' %
(obs_read['id_episode'],
obs_read['counter'],
obs_read['timestamp']))
original = written[count]
try:
if obs_read['counter'] != original['counter']:
msg = ('Not even the counter is the same!'
' %s vs %s' %
(obs_read['counter'], original['counter']))
raise Exception(msg)
assert_allclose(obs_read['timestamp'],
original['timestamp'])
assert_allclose(obs_read['observations'],
original['observations'])
assert_allclose(obs_read['commands'],
original['commands'])
except:
logger.error('Error at count = %d' % count)
logger.error(' original: %s' % original)
logger.error(' obs_read: %s' % obs_read)
raise
count += 1
if count != len(written):
msg = ('I wrote %d entries, but obtained %d.' %
(len(written), count))
raise Exception(msg)
except:
logger.error('Could not pass tests for format %r.'
% logs_format)
raise
def check_conversions(stream_spec1, nuisance):
# print('Checking %s / %s ' % (stream_spec1, nuisance))
nuisance_inv = None
try:
try:
stream_spec2 = nuisance.transform_spec(stream_spec1)
except UnsupportedSpec as e:
logger.info('Skipping %s/%s because incompatible: %s' %
(stream_spec1, nuisance, e))
return
value1 = stream_spec1.get_random_value()
stream_spec1.check_valid_value(value1)
value2 = nuisance.transform_value(value1)
stream_spec2.check_valid_value(value2)
try:
nuisance_inv = nuisance.inverse()
except NuisanceNotInvertible as e:
logger.info('Skipping some tests %s/%s because not invertible:'
' %s' % (stream_spec1, nuisance, e))
return
try:
stream_spec1b = nuisance_inv.transform_spec(stream_spec2)
except UnsupportedSpec as e:
msg = ('The inverse of the nuisance does not seem to be able '
'to handle the result:\n%s\n\n'
' stream_spec1: %s\n'
' nuisance: %s\n'
' stream_spec2: %s\n'
' nuisance_inv: %s\n' %
(indent(str(e), '>'),
stream_spec1.to_yaml(), nuisance,
stream_spec2.to_yaml(), nuisance_inv))
raise ValueError(msg)
try:
StreamSpec.check_same_spec(stream_spec1, stream_spec1b)
except Exception as e:
msg = ('The inverse of the nuisance does not recreate the '
'initial spec:\n%s\n\n'
' stream_spec1: %s\n'
' nuisance: %s\n'
' stream_spec2: %s\n'
' nuisance_inv: %s\n'
' stream_spec1b: %s\n' %
(indent(str(e), '>'),
stream_spec1.to_yaml(), nuisance,
stream_spec2.to_yaml(), nuisance_inv,
stream_spec1b.to_yaml()))
raise ValueError(msg)
value1b = nuisance_inv.transform_value(value2)
stream_spec1.check_valid_value(value1b)
# TODO: if exact
assert_allclose(value1, value1b, rtol=1e-5)
except:
logger.error('Error while testing:')
logger.error(' stream_spec: %s ' % stream_spec1.to_yaml())
logger.error(' nuisance: %s' % nuisance)
logger.error(' nuisance_inv: %s' % nuisance_inv)
raise
def check_gray_code(code):
for i in range(len(code) - 1):
w1 = code[i]
w2 = code[i + 1]
dist = np.sum(np.abs(w1 - w2))
assert_allclose(dist, 1)
def scipy_image_resample_test4(self):
""" Resampling should be invertible if using order = 0 """
a = np.random.rand(10, 10).astype('float32')
b = scipy_image_resample(a, (20, 20), order=0)
a1 = scipy_image_resample(b, (10, 10), order=0)
assert_allclose(a1, a)
def check_cmdline(id_agent, agent, id_robot, robot): # @UnusedVariable
try:
agent.init(robot.get_spec())
except UnsupportedSpec:
return
with create_tmp_dir() as root:
os.mkdir(os.path.join(root, 'config')) # XXX make it automatic
data_central = DataCentral(root)
log_index = data_central.get_log_index()
def execute_command(*args):
arguments = ['-d', root, '--contracts'] + list(args)
boot_olympics_manager(arguments)
assert not log_index.has_streams_for_robot(id_robot)
formats = LogsFormat.formats.keys()
for logs_format in formats:
execute_command('--logformat', logs_format,
'simulate', '-a', id_agent, '-r', id_robot,
'--num_episodes', '2', '--episode_len', '2')
execute_command('--logformat', logs_format,
'simulate', '-a', id_agent, '-r', id_robot,
'--num_episodes', '2', '--episode_len', '2')
assert not log_index.has_streams_for_robot(id_robot)
log_index.reindex()
assert log_index.has_streams_for_robot(id_robot)
n = len(formats)
assert_allclose(len(log_index.get_streams_for_robot(id_robot)), 2 * n)
assert_allclose(len(log_index.get_streams_for(id_robot,
id_agent)), 2 * n)
assert_allclose(len(log_index.get_episodes_for_robot(id_robot)), 4 * n)
assert_allclose(len(log_index.get_episodes_for_robot(id_robot,
id_agent)), 4 * n)
execute_command('learn-log', '-a', id_agent, '-r', id_robot)
try:
agent.get_servo()
except NotImplementedError:
pass
else:
execute_command('servo', '-a', id_agent, '-r', id_robot,
'--num_episodes', '1',
'--max_episode_len', '1')
try:
agent.get_predictor()
except NotImplementedError:
pass
else:
execute_command('predict', '-a', id_agent, '-r', id_robot)
execute_command('list-logs')
execute_command('list-logs', '-e')
execute_command('list-logs', '-l')
execute_command('list-logs', '-s')
execute_command('list-logs', '-R')
# TODO: publish
# execute_command('batch') # TODO: test batch
execute_command('list-agents')
execute_command('list-agents', '-v')
execute_command('list-robots')
execute_command('list-robots', '-v')
execute_command('list-states')
execute_command('list-states', '-v')
