def __init__(self, fileobject, transform_function):
SavccMatrix.__init__(self, fileobject, transform_function)
# Add normalization factors
logging.log(ULTRADEBUG, "Initializing normalization array")
# Default behavior: no normalization
self.normfactors=[1.0]*self._height
# Tentative normalization array name
array_filename=self._expected_norm_array_name()
logging.debug("Trying to load a normalization array from disk. The "
"file should be named %s.", array_filename)
# Make sure that only one process or thread at a time can attempt to get
# the normalization factors
_normfactor_lock.acquire()
try:
try:
self._load_normalization_factors(open(array_filename, 'rb'))
logging.debug('Normalization factors loaded from disk.')
except IOError:
logging.debug("Unable to load normalization factors from disk.")
self._generate_normalization_factors()
# Only save normalization factors if they are not a StringIO
# object
if not isinstance(fileobject, StringIO.StringIO):
logging.debug("Saving normalization factors to %s",
array_filename)
try:
self._save_normalization_factors(open(array_filename,
'wb'))
except IOError:
logging.warn("Unable to save the normalization array. "
"It will have to be regenerated each "
"time.")
finally:
_normfactor_lock.release()
def __init__(self, fileobject, transform_function):
SavccMatrix.__init__(self, fileobject, transform_function)
# Add normalization factors
logging.log(ULTRADEBUG, "Initializing normalization array")
# Default behavior: no normalization
self.normfactors = [1.0] * self._height
# Tentative normalization array name
array_filename = self._expected_norm_array_name()
logging.debug(
"Trying to load a normalization array from disk. The "
"file should be named %s.", array_filename)
# Make sure that only one process or thread at a time can attempt to get
# the normalization factors
_normfactor_lock.acquire()
try:
try:
self._load_normalization_factors(open(array_filename, 'rb'))
logging.debug('Normalization factors loaded from disk.')
except IOError:
logging.debug(
"Unable to load normalization factors from disk.")
self._generate_normalization_factors()
# Only save normalization factors if they are not a StringIO
# object
if not isinstance(fileobject, StringIO.StringIO):
logging.debug("Saving normalization factors to %s",
array_filename)
try:
self._save_normalization_factors(
open(array_filename, 'wb'))
except IOError:
logging.warn("Unable to save the normalization array. "
"It will have to be regenerated each "
"time.")
finally:
_normfactor_lock.release()
def __setstate__(self, state):
SavccMatrix.__setstate__(self, state['base'])
self.normfactors=state['normfact']
def __getstate__(self):
return {'base': SavccMatrix.__getstate__(self),
'normfact': self.normfactors}
def __setstate__(self, state):
SavccMatrix.__setstate__(self, state['base'])
self.normfactors = state['normfact']
def __getstate__(self):
return {
'base': SavccMatrix.__getstate__(self),
'normfact': self.normfactors
}