def testset():
global _testset
if _testset is None:
ts = datafile.load_file(paths.testset_filepath)
_testset = tuple(
tools.to_vector(s_signal, ts['s_channels'])
for s_signal in ts['s_signals'])
return _testset
def load(self, verbose=False):
filepath = os.path.join(self.folder, self.filename)
self.lock.acquire()
try:
if os.path.isfile(filepath) or os.path.isfile(filepath+'.bz2'):
data = datafile.load_file(filepath,
typename='data',
verbose=verbose)
self.entries = data['entries']
self.meta = data['meta']
else:
if verbose:
print('warning: could not find {}'.format(filepath))
self.entries = []
finally:
self.lock.release()
def load(self, verbose=False):
filepath = os.path.join(self.folder, self.filename)
self.lock.acquire()
try:
if os.path.isfile(filepath) or os.path.isfile(filepath + '.bz2'):
data = datafile.load_file(filepath,
typename='data',
verbose=verbose)
self.entries = data['entries']
self.meta = data['meta']
else:
if verbose:
print('warning: could not find {}'.format(filepath))
self.entries = []
finally:
self.lock.release()
def make_testset(cfg):
meta = {}
testset_history = chrono.ChronoHistory(cfg.hardware.datafile, core_keys=[''],
meta=meta, extralog = False)
# if cfg[stage].algorithm == 'random.sensory':
# env = environments.Environment.create(cfg.job.env)
#
# meta['testset'] = tuple(tools.random_signal(env.s_channels) for _ in range(cfg[stage].size))
# meta['s_channels'] = env.s_channels
#
# # if cfg[stage].algorithm == 'isogrid.sensory':
# # env = environments.Environment.create(cfg.job.env)
#
# # cfg[stage].res = []
#
# # for cfg[stage].
# # meta['testset'] = tuple(tools.random_signal(env.s_channels) for _ in range(cfg[stage].size))
# # meta['s_channels'] = env.s_channels
#
# elif cfg[stage].algorithm == 'uniform.sensory':
#
# meshgrid = None
# # create meshgrid
#
# for filename in cfg.hardware.datafiles:
#
# data = chrono.ChronoHistory(filename, extralog=False, verbose=True)
#
# if meshgrid is None:
# s_channels = data.core.meta['s_channels']
# meshgrid = explorers.MeshGrid([c.bounds for c in s_channels], cfg[stage].res)
#
# for entry in data:
# # populate meshgrid
# s_signal = entry['data']['feedback']['s_signal']
# s_vector = tools.to_vector(s_signal, s_channels)
# meshgrid.add(s_vector)
#
# # draw from meshgrid
# testset = []
# for _ in range(cfg[stage].size):
# s_vector = meshgrid.draw(replace=False)
# s_signal = tools.to_signal(s_vector, s_channels)
# testset.append(s_signal)
#
# meta['testset'] = testset
# meta['s_channels'] = s_channels
if cfg.testset.algorithm == 'fromfile': # the set is provided
dataset = datafile.load_file(cfg.testset.input_file)
meta['testset'] = dataset['s_signals']
meta['s_channels'] = dataset['s_channels']
else:
raise NotImplementedError('unknown testset creation method')
testset_history.save(done=True, verbose=True)
def make_testset(cfg):
meta = {}
testset_history = chrono.ChronoHistory(cfg.hardware.datafile,
core_keys=[''],
meta=meta,
extralog=False)
# if cfg[stage].algorithm == 'random.sensory':
# env = environments.Environment.create(cfg.job.env)
#
# meta['testset'] = tuple(tools.random_signal(env.s_channels) for _ in range(cfg[stage].size))
# meta['s_channels'] = env.s_channels
#
# # if cfg[stage].algorithm == 'isogrid.sensory':
# # env = environments.Environment.create(cfg.job.env)
#
# # cfg[stage].res = []
#
# # for cfg[stage].
# # meta['testset'] = tuple(tools.random_signal(env.s_channels) for _ in range(cfg[stage].size))
# # meta['s_channels'] = env.s_channels
#
# elif cfg[stage].algorithm == 'uniform.sensory':
#
# meshgrid = None
# # create meshgrid
#
# for filename in cfg.hardware.datafiles:
#
# data = chrono.ChronoHistory(filename, extralog=False, verbose=True)
#
# if meshgrid is None:
# s_channels = data.core.meta['s_channels']
# meshgrid = explorers.MeshGrid([c.bounds for c in s_channels], cfg[stage].res)
#
# for entry in data:
# # populate meshgrid
# s_signal = entry['data']['feedback']['s_signal']
# s_vector = tools.to_vector(s_signal, s_channels)
# meshgrid.add(s_vector)
#
# # draw from meshgrid
# testset = []
# for _ in range(cfg[stage].size):
# s_vector = meshgrid.draw(replace=False)
# s_signal = tools.to_signal(s_vector, s_channels)
# testset.append(s_signal)
#
# meta['testset'] = testset
# meta['s_channels'] = s_channels
if cfg.testset.algorithm == 'fromfile': # the set is provided
dataset = datafile.load_file(cfg.testset.input_file)
meta['testset'] = dataset['s_signals']
meta['s_channels'] = dataset['s_channels']
else:
raise NotImplementedError('unknown testset creation method')
testset_history.save(done=True, verbose=True)
def testset():
global _testset
if _testset is None:
ts = datafile.load_file(paths.testset_filepath)
_testset = tuple(tools.to_vector(s_signal, ts["s_channels"]) for s_signal in ts["s_signals"])
return _testset
