def to_netcdf(dataset,
path=None,
mode='w',
format=None,
group=None,
engine=None,
writer=None,
encoding=None):
"""This function creates an appropriate datastore for writing a dataset to
disk as a netCDF file
See `Dataset.to_netcdf` for full API docs.
The ``writer`` argument is only for the private use of save_mfdataset.
"""
if encoding is None:
encoding = {}
if path is None:
path = BytesIO()
if engine is None:
engine = 'scipy'
elif engine is not None:
raise ValueError('invalid engine for creating bytes with '
'to_netcdf: %r. Only the default engine '
"or engine='scipy' is supported" % engine)
else:
if engine is None:
engine = _get_default_engine(path)
path = _normalize_path(path)
# validate Dataset keys, DataArray names, and attr keys/values
_validate_dataset_names(dataset)
_validate_attrs(dataset)
try:
store_cls = WRITEABLE_STORES[engine]
except KeyError:
raise ValueError('unrecognized engine for to_netcdf: %r' % engine)
if format is not None:
format = format.upper()
# if a writer is provided, store asynchronously
sync = writer is None
store = store_cls(path, mode, format, group, writer)
try:
dataset.dump_to_store(store, sync=sync, encoding=encoding)
if isinstance(path, BytesIO):
return path.getvalue()
finally:
if sync:
store.close()
if not sync:
return store
def to_netcdf(dataset, path=None, mode='w', format=None, group=None,
engine=None, writer=None, encoding=None):
"""This function creates an appropriate datastore for writing a dataset to
disk as a netCDF file
See `Dataset.to_netcdf` for full API docs.
The ``writer`` argument is only for the private use of save_mfdataset.
"""
if encoding is None:
encoding = {}
if path is None:
path = BytesIO()
if engine is None:
engine = 'scipy'
elif engine is not None:
raise ValueError('invalid engine for creating bytes with '
'to_netcdf: %r. Only the default engine '
"or engine='scipy' is supported" % engine)
else:
if engine is None:
engine = _get_default_engine(path)
path = _normalize_path(path)
# validate Dataset keys, DataArray names, and attr keys/values
_validate_dataset_names(dataset)
_validate_attrs(dataset)
try:
store_cls = WRITEABLE_STORES[engine]
except KeyError:
raise ValueError('unrecognized engine for to_netcdf: %r' % engine)
if format is not None:
format = format.upper()
# if a writer is provided, store asynchronously
sync = writer is None
store = store_cls(path, mode, format, group, writer)
try:
dataset.dump_to_store(store, sync=sync, encoding=encoding)
if isinstance(path, BytesIO):
return path.getvalue()
finally:
if sync:
store.close()
if not sync:
return store
method_csv = 2
if method_csv == 'DELETE':
method_csv = 3
if method_csv == 'PUT':
method_csv = 4
if method_csv == 'HEAD':
method_csv = 5
if method_csv == 'OPTIONS':
method_csv = 6
if method_csv == 'TRACE':
method_csv = 7
# print method_csv
path = StringIO.StringIO()
pprint(log_line_data['request_url'], path)
path_csv = path.getvalue().replace("\n", "").replace("'", "")
# path_csv = '/dvwa-1.9/dvwa/css/\"980610%40'
# print path_csv
list = '%, ", ?, _, $, &, *, /, \\, \., \|'
symbol_in_request = 0
for i in range(0, len(path_csv)):
if path_csv[i] in list:
symbol_in_request += 1
x = float(len(path_csv))
p_symbol = symbol_in_request / x
status = StringIO.StringIO()
pprint(log_line_data['status'], status)
status_csv = status.getvalue().replace("\n", "").replace("'", "")
status_csv = float(status_csv) / 500
# print status_csv
outputWriter.writerow(
{'name': nname, 'scaling': self.sensor_scalings[sensor_id], 'triggers': ntp}))
except Exception, e:
print 'Error writing current profile'
print e
return False
try:
if not is_a_string_buffer:
path = open(path, 'w')
path.write(
'# This file contains a fan profile for tpfancod')
path.write('\n\n\n')
current_profile.write(path)
if is_a_string_buffer:
self.profile_as_string = path.getvalue()
except Exception, e:
print 'Error writing profile file: %s' % path
print e
return False
return True
def load_config(self, settings_from_config):
"""apply settings from a config"""
self.verify_config(settings_from_config)
if settings_from_config['status']:
self.enabled = settings_from_config['enabled']
self.override_profile = settings_from_config['override_profile']
self.current_profile = settings_from_config['current_profile']
