def teardown(self):
if self.input_ds:
self.input_ds.file.close()
if self.output_ds:
self.output_ds.file.close()
self.distortion = None
Plugin.teardown(self)
def test_plugin(self):
"Test a stand alone (dummy-) plugin"
p = Plugin()
p.setup()
p.process()
p.teardown()
logger.debug(p.output)
def test_plugin(self):
"Test a stand alone (dummy-) plugin"
p = Plugin()
p.setup()
p.process()
p.teardown()
logger.debug(p.output)
def teardown(self):
if self.input_ds:
self.input_ds.file.close()
if self.output_ds:
self.output_ds.file.close()
self.distortion = None
Plugin.teardown(self)
def teardown(self):
self.output["c216_filename"] = self.hdf5_filename
if self.group:
self.output["c216_path"] = self.group.name
self.group.parent["end_time"] = numpy.string_(get_isotime())
if self.hdf5:
self.hdf5.close()
Plugin.teardown(self)
def teardown(self):
self.output["c216_filename"] = self.hdf5_filename
if self.group:
self.output["c216_path"] = self.group.name
# self.group.parent["end_time"] = str(get_isotime())
if self.nxs:
self.nxs.close()
Plugin.teardown(self)
def teardown(self):
self.output["c216_filename"] = self.hdf5_filename
if self.group:
self.output["c216_path"] = self.group.name
self.group.parent["end_time"] = numpy.string_(get_isotime())
if self.hdf5:
self.hdf5.close()
Plugin.teardown(self)
def teardown(self):
if self.images_ds:
self.images_ds.file.close()
for ds in self.output_ds.values():
ds.file.close()
self.ai = None
self.output["files"] = self.output_hdf5
Plugin.teardown(self)
def teardown(self):
if self.images_ds:
self.images_ds.file.close()
for ds in self.output_ds.values():
ds.file.close()
self.ai = None
self.polarization = None
self.output["files"] = self.output_hdf5
Plugin.teardown(self)
def teardown(self):
Plugin.teardown(self)
logger.debug("IntegrateManyFrames.teardown")
# Create some output data
self.output["output_file"] = self.output_file
if self.save_raw:
self.raw_nxs.close()
self.output["save_raw"] = self.save_raw
self.raw_nxs = None
self.raw_ds = None
def teardown(self):
Plugin.teardown(self)
logger.debug("SubtractBuffer.teardown")
# export the output file location
self.output["output_file"] = self.output_file
if self.nxs is not None:
self.nxs.close()
if self.ai is not None:
self.ai = None
self.sample_juice = None
self.buffer_juices = []
def teardown(self):
if self.result_filename:
self.output["result_file"] = self.result_filename
try:
self.dataset.file.close()
except Exception as err:
self.log_warning("%s Unable to close dataset file: %s" %
(type(err), err))
self.qmask = None
self.ai = None
self.correlator_name = None
Plugin.teardown(self)
def teardown(self):
Plugin.teardown(self)
logger.debug("IntegrateMultiframe.teardown")
# export the output file location
self.output["output_file"] = self.output_file
if self.nxs is not None:
self.nxs.close()
if self.ai is not None:
self.ai = None
# clean cache
if self._input_frames is not None:
self._input_frames = None
self.monitor_values = None
def teardown(self):
Plugin.teardown(self)
logger.debug("IntegrateManyFrames.teardown")
# Create some output data
self.output["output_file"] = self.output_file
if self.save_raw:
self.raw_nxs.close()
self.output["save_raw"] = self.save_raw
self.raw_nxs = None
self.raw_ds = None
# now clean up threads, empty pool of workers
self.quit_event.set()
for _ in self.pool:
self.queue_in.put(None)
if self.queue_saver is not None:
self.queue_saver.put(None)
self.queue_saver = None
self.raw_saver = None
self.pool = None
self.queue_in = None
self.queue_out = None
self.quit_event = None
def teardown(self):
Plugin.teardown(self)
logger.debug("IntegrateManyFrames.teardown")
# Create some output data
self.output["output_file"] = self.output_file
if self.save_raw:
self.raw_nxs.close()
self.output["save_raw"] = self.save_raw
self.raw_nxs = None
self.raw_ds = None
# now clean up threads, empty pool of workers
self.quit_event.set()
for _ in self.pool:
self.queue_in.put(None)
if self.queue_saver is not None:
self.queue_saver.put(None)
self.queue_saver = None
self.raw_saver = None
self.pool = None
self.queue_in = None
self.queue_out = None
self.quit_event = None
def teardown(self):
"""Method for cleaning up stuff
"""
# Finally update the cache:
to_cache = {}
for meth, worker in self.workers.items():
if "ai" in dir(worker):
to_cache.update(worker.ai._cached_array)
self.cache.get(self.cache_ai, {}).update(to_cache)
to_close = {}
#close also the source
self.output_ds["source"] = self.images_ds
for key, ds in self.output_ds.items():
if not bool(ds):
#the dataset is None when the file has been closed
continue
try:
hdf5_file = ds.file
filename = hdf5_file.filename
except (RuntimeError, ValueError) as err:
self.log_warning(
f"Unable to retrieve filename of dataset {key}: {err}")
else:
to_close[filename] = hdf5_file
for filename, hdf5_file in to_close.items():
try:
hdf5_file.close()
except (RuntimeError, ValueError) as err:
self.log_warning(
f"Issue in closing file {filename} {type(err)}: {err}")
self.ai = None
self.polarization = None
self.output["files"] = self.output_hdf5
Plugin.teardown(self)
def teardown(self):
Plugin.teardown(self)
def teardown(self):
Plugin.teardown(self)
def teardown(self):
Plugin.teardown(self)
logger.debug("Integrate.teardown")
# Create some output data
self.output["output_files"] = self.output_files
def teardown(self):
Plugin.teardown(self)
logger.debug("PluginPyFAIv1_0.teardown")
def teardown(self):
Plugin.teardown(self)
logger.debug("PluginPyFAIv1_0.teardown")
