def form_valid(self, form):
product_ids_to_quantities = dict(
(int(key.replace("q_", "")), value)
for (key, value)
in six.iteritems(form.cleaned_data)
if key.startswith("q_") and value > 0
)
order = self.object
product_map = Product.objects.in_bulk(set(product_ids_to_quantities.keys()))
products_to_quantities = dict(
(product_map[product_id], quantity)
for (product_id, quantity)
in six.iteritems(product_ids_to_quantities)
)
try:
shipment = order.create_shipment(
supplier=form.cleaned_data["supplier"],
product_quantities=products_to_quantities
)
except NoProductsToShipException:
messages.error(self.request, _("No products to ship."))
return self.form_invalid(form)
else:
messages.success(self.request, _("Shipment %s created.") % shipment.id)
return HttpResponseRedirect(get_model_url(order))
def logger_file(self, value):
"""
Sets the logger_file.
If the logger_file is None, then add stream handler and remove file handler.
Otherwise, add file handler and remove stream handler.
:param value: The logger_file path.
:type: str
"""
self.__logger_file = value
if self.__logger_file:
# If set logging file,
# then add file handler and remove stream handler.
self.logger_file_handler = logging.FileHandler(self.__logger_file)
self.logger_file_handler.setFormatter(self.logger_formatter)
for _, logger in iteritems(self.logger):
logger.addHandler(self.logger_file_handler)
if self.logger_stream_handler:
logger.removeHandler(self.logger_stream_handler)
else:
# If not set logging file,
# then add stream handler and remove file handler.
self.logger_stream_handler = logging.StreamHandler()
self.logger_stream_handler.setFormatter(self.logger_formatter)
for _, logger in iteritems(self.logger):
logger.addHandler(self.logger_stream_handler)
if self.logger_file_handler:
logger.removeHandler(self.logger_file_handler)
def to_dict(self):
"""
Serialize the DSL object to plain dict
"""
d = {}
for pname, value in iteritems(self._params):
pinfo = self._param_defs.get(pname)
# typed param
if pinfo and 'type' in pinfo:
# don't serialize empty lists and dicts for typed fields
if value in ({}, []):
continue
# multi-values are serialized as list of dicts
if pinfo.get('multi'):
value = list(map(lambda x: x.to_dict(), value))
# squash all the hash values into one dict
elif pinfo.get('hash'):
value = dict((k, v.to_dict()) for k, v in iteritems(value))
# serialize single values
else:
value = value.to_dict()
# serialize anything with to_dict method
elif hasattr(value, 'to_dict'):
value = value.to_dict()
d[pname] = value
return {self.name: d}
def record_derivatives(self, derivs, metadata):
"""Writes the derivatives that were calculated for the driver.
Args
----
derivs : dict
Dictionary containing derivatives
metadata : dict, optional
Dictionary containing execution metadata (e.g. iteration coordinate).
"""
iteration_coordinate = metadata['coord']
timestamp = metadata['timestamp']
write = self.out.write
fmat = "Timestamp: {0!r}\n"
write(fmat.format(timestamp))
fmat = "Iteration Coordinate: {0:s}/Derivs\n"
write(fmat.format(format_iteration_coordinate(iteration_coordinate)))
write("Derivatives:\n")
if isinstance(derivs, dict):
for okey, sub in sorted(iteritems(derivs)):
for ikey, deriv in sorted(iteritems(sub)):
write(" {0} wrt {1}: {2}\n".format(okey, ikey, str(deriv)))
else:
write(" {0} \n".format(str(derivs)))
# Flush once per iteration to allow external scripts to process the data.
self.out.flush()
def __call_api(self, resource_path, method,
path_params=None, query_params=None, header_params=None,
body=None, post_params=None, files=None,
response_type=None, auth_settings=None, callback=None):
# headers parameters
header_params = header_params or {}
header_params.update(self.default_headers)
if self.cookie:
header_params['Cookie'] = self.cookie
if header_params:
header_params = self.sanitize_for_serialization(header_params)
# path parameters
if path_params:
path_params = self.sanitize_for_serialization(path_params)
for k, v in iteritems(path_params):
replacement = quote(str(self.to_path_value(v)))
resource_path = resource_path.\
replace('{' + k + '}', replacement)
# query parameters
if query_params:
query_params = self.sanitize_for_serialization(query_params)
query_params = {k: self.to_path_value(v)
for k, v in iteritems(query_params)}
# post parameters
if post_params or files:
post_params = self.prepare_post_parameters(post_params, files)
post_params = self.sanitize_for_serialization(post_params)
# auth setting
self.update_params_for_auth(header_params, query_params, auth_settings)
# body
if body:
body = self.sanitize_for_serialization(body)
# request url
url = self.host + resource_path
# perform request and return response
response_data = self.request(method, url,
query_params=query_params,
headers=header_params,
post_params=post_params, body=body)
self.last_response = response_data
# deserialize response data
if response_type:
deserialized_data = self.deserialize(response_data, response_type)
else:
deserialized_data = None
if callback:
callback(deserialized_data)
else:
return deserialized_data
def _translate_section(self, section, sub_section, data, mapping):
cfn_objects = {}
obj_name = section[:-1]
err_msg = _('"%%s" is not a valid keyword inside a %s '
'definition') % obj_name
for name, attrs in six.iteritems(data):
cfn_object = {}
if not attrs:
args = {'object_name': obj_name, 'sub_section': sub_section}
message = _('Each %(object_name)s must contain a '
'%(sub_section)s key.') % args
raise exception.StackValidationFailed(message=message)
try:
for attr, attr_value in six.iteritems(attrs):
cfn_attr = self._translate(attr, mapping, err_msg)
cfn_object[cfn_attr] = attr_value
cfn_objects[name] = cfn_object
except AttributeError:
message = _('"%(section)s" must contain a map of '
'%(obj_name)s maps. Found a [%(_type)s] '
'instead') % {'section': section,
'_type': type(attrs),
'obj_name': obj_name}
raise exception.StackValidationFailed(message=message)
except KeyError as e:
# an invalid keyword was found
raise exception.StackValidationFailed(message=six.text_type(e))
return cfn_objects
def test_driver_records_unknown_types_metadata(self):
prob = Problem()
root = prob.root = Group()
# Need an optimization problem to test to make sure
# the is_desvar, is_con, is_obj metadata is being
# recorded for the Unknowns
root.add('p1', IndepVarComp('x', 50.0))
root.add('p2', IndepVarComp('y', 50.0))
root.add('comp', Paraboloid())
root.connect('p1.x', 'comp.x')
root.connect('p2.y', 'comp.y')
prob.driver = ScipyOptimizer()
prob.driver.options['optimizer'] = 'SLSQP'
prob.driver.add_desvar('p1.x', lower=-50.0, upper=50.0)
prob.driver.add_desvar('p2.y', lower=-50.0, upper=50.0)
prob.driver.add_objective('comp.f_xy')
prob.driver.options['disp'] = False
prob.driver.add_recorder(self.recorder)
self.recorder.options['record_metadata'] = True
prob.setup(check=False)
prob.cleanup() # close recorders
expected_params = list(iteritems(prob.root.params))
expected_unknowns = list(iteritems(prob.root.unknowns))
expected_resids = list(iteritems(prob.root.resids))
self.assertMetadataRecorded((expected_params, expected_unknowns, expected_resids))
def parse(functions, stack, snippet, path='', template=None):
recurse = functools.partial(parse, functions, stack, template=template)
if isinstance(snippet, collections.Mapping):
def mkpath(key):
return '.'.join([path, six.text_type(key)])
if len(snippet) == 1:
fn_name, args = next(six.iteritems(snippet))
Func = functions.get(fn_name)
if Func is not None:
try:
path = '.'.join([path, fn_name])
if issubclass(Func, function.Macro):
return Func(stack, fn_name, args,
functools.partial(recurse, path=path),
template)
else:
return Func(stack, fn_name, recurse(args, path))
except (ValueError, TypeError, KeyError) as e:
raise exception.StackValidationFailed(
path=path,
message=six.text_type(e))
return dict((k, recurse(v, mkpath(k)))
for k, v in six.iteritems(snippet))
elif (not isinstance(snippet, six.string_types) and
isinstance(snippet, collections.Iterable)):
def mkpath(idx):
return ''.join([path, '[%d]' % idx])
return [recurse(v, mkpath(i)) for i, v in enumerate(snippet)]
else:
return snippet
def _resolve_with_state(unconflicted_state_ids, conflicted_state_ids, auth_event_ids,
state_map):
conflicted_state = {}
for key, event_ids in iteritems(conflicted_state_ids):
events = [state_map[ev_id] for ev_id in event_ids if ev_id in state_map]
if len(events) > 1:
conflicted_state[key] = events
elif len(events) == 1:
unconflicted_state_ids[key] = events[0].event_id
auth_events = {
key: state_map[ev_id]
for key, ev_id in iteritems(auth_event_ids)
if ev_id in state_map
}
try:
resolved_state = _resolve_state_events(
conflicted_state, auth_events
)
except Exception:
logger.exception("Failed to resolve state")
raise
new_state = unconflicted_state_ids
for key, event in iteritems(resolved_state):
new_state[key] = event.event_id
return new_state
def get_data(self, parsed_args):
self.log.debug('run(%s)', parsed_args)
neutron_client = self.get_client()
neutron_client.format = parsed_args.request_format
_extra_values = neutronV20.parse_args_to_dict(self.values_specs)
neutronV20._merge_args(self, parsed_args, _extra_values,
self.values_specs)
body = self.args2body(parsed_args)
if self.resource in body:
body[self.resource].update(_extra_values)
else:
body[self.resource] = _extra_values
obj_updator = getattr(neutron_client,
"update_%s" % self.resource)
tenant_id = get_tenant_id(parsed_args.tenant_id,
neutron_client)
data = obj_updator(tenant_id, body)
if self.resource in data:
for k, v in six.iteritems(data[self.resource]):
if isinstance(v, list):
value = ""
for _item in v:
if value:
value += "\n"
if isinstance(_item, dict):
value += jsonutils.dumps(_item)
else:
value += str(_item)
data[self.resource][k] = value
elif v is None:
data[self.resource][k] = ''
return zip(*sorted(six.iteritems(data[self.resource])))
else:
return None
def get_objects(self):
# type: () -> Iterator[Tuple[unicode, unicode, unicode, unicode, unicode, int]]
for modname, info in iteritems(self.data['modules']):
yield (modname, modname, 'module', info[0], 'module-' + modname, 0)
for refname, (docname, type) in iteritems(self.data['objects']):
if type != 'module': # modules are already handled
yield (refname, refname, type, docname, refname, 1)
def allowed_permissions(self, package):
"""
Get all allowed permissions for all principals on a package
Returns
-------
perms : dict
Mapping of principal to tuple of permissions
"""
all_perms = {}
for user, perms in six.iteritems(self.user_permissions(package)):
all_perms["user:"******"read",)
for principal in groups_to_principals(self.default_write):
if principal in all_perms:
all_perms[principal] += ("write",)
else:
all_perms[principal] = ("write",)
return all_perms
def get_data(self, parsed_args):
self.log.debug('get_data(%s)', parsed_args)
neutron_client = self.get_client()
neutron_client.format = parsed_args.request_format
tenant_id = get_tenant_id(parsed_args.tenant_id,
neutron_client)
params = {}
obj_shower = getattr(neutron_client,
"show_%s" % self.resource)
data = obj_shower(tenant_id, **params)
if self.resource in data:
for k, v in six.iteritems(data[self.resource]):
if isinstance(v, list):
value = ""
for _item in v:
if value:
value += "\n"
if isinstance(_item, dict):
value += jsonutils.dumps(_item)
else:
value += str(_item)
data[self.resource][k] = value
elif v is None:
data[self.resource][k] = ''
return zip(*sorted(six.iteritems(data[self.resource])))
else:
return None
def parse_future_info(future_info):
new_info = {}
for underlying_symbol, info in six.iteritems(future_info):
try:
underlying_symbol = underlying_symbol.upper()
except AttributeError:
raise RuntimeError(_("Invalid future info: underlying_symbol {} is illegal.".format(underlying_symbol)))
for field, value in six.iteritems(info):
if field in (
"open_commission_ratio", "close_commission_ratio", "close_commission_today_ratio"
):
new_info.setdefault(underlying_symbol, {})[field] = float(value)
elif field == "commission_type":
if isinstance(value, six.string_types) and value.upper() == "BY_MONEY":
new_info.setdefault(underlying_symbol, {})[field] = COMMISSION_TYPE.BY_MONEY
elif isinstance(value, six.string_types) and value.upper() == "BY_VOLUME":
new_info.setdefault(underlying_symbol, {})[field] = COMMISSION_TYPE.BY_VOLUME
elif isinstance(value, COMMISSION_TYPE):
new_info.setdefault(underlying_symbol, {})[field] = value
else:
raise RuntimeError(_(
"Invalid future info: commission_type is suppose to be BY_MONEY or BY_VOLUME"
))
else:
raise RuntimeError(_("Invalid future info: field {} is not valid".format(field)))
return new_info
def __setstate__(self, state):
""" Overwrite message state with given kwargs. """
self._tokens = state['tokens']
self.extra = {}
self.expiry = state['expiry']
self.priority = state['priority']
if 'payload' in state:
self._payload = state['payload']
if hasattr(self._payload, "get") and self._payload.get("aps"):
aps = self._payload["aps"]
self.alert = aps.get("alert")
self.badge = aps.get("badge")
self.sound = aps.get("sound")
self.content_available = aps.get("content-available")
self.extra = dict([(k, v) for (k, v) in six.iteritems(self._payload) if k != 'aps'])
else:
self._payload = None
for key, val in six.iteritems(state):
if key in ('tokens', 'expiry', 'priority'): # already set
pass
elif key in ('alert', 'badge', 'sound', 'content_available'):
setattr(self, key, state[key])
elif key == 'extra':
self.extra.update(state[key])
else:
# legacy serialized object
self.extra[key] = val
def _write_f06_transient(self, header, page_stamp, page_num=1, f=None, is_mag_phase=False):
assert f is not None
words = [' C O M P L E X F O R C E S O F M U L T I P O I N T C O N S T R A I N T\n',
' (REAL/IMAGINARY)\n',
' \n',
' POINT ID. TYPE T1 T2 T3 R1 R2 R3\n']
msg = []
for dt, translations in sorted(iteritems(self.translations)):
header[1] = ' %s = %10.4E\n' % (self.data_code['name'], dt)
msg += header + words
for nodeID, translation in sorted(iteritems(translations)):
rotation = self.rotations[dt][nodeID]
grid_type = self.gridTypes[nodeID]
(dx, dy, dz) = translation
(rx, ry, rz) = rotation
vals = [dx, dy, dz, rx, ry, rz]
(vals2, is_all_zeros) = writeImagFloats13E(vals, is_mag_phase)
#if not is_all_zeros:
[v1r, v2r, v3r, v4r, v5r, v6r, v1i,
v2i, v3i, v4i, v5i, v6i] = vals2
msg.append('0%13i %6s %-13s %-13s %-13s %-13s %-13s %s\n' % (nodeID, grid_type, v1r, v2r, v3r, v4r, v5r, v6r.rstrip()))
msg.append(' %13i %6s %-13s %-13s %-13s %-13s %-13s %s\n' % (nodeID, grid_type, v1i, v2i, v3i, v4i, v5i, v6i.rstrip()))
msg.append(page_stamp % page_num)
f.write(''.join(msg))
page_num += 1
return page_num - 1
def _write_f06_springs_transient(f, stress, header, words, name):
for dt, datai in sorted(iteritems(data)):
header[1] = ' %s = %10.4E\n' % (name, dt)
msg += header + words
f.write(''.join(msg))
eids = []
stresses = []
for eid, stress in sorted(iteritems(datai)):
eids.append(eid)
stresses.append(stress)
if len(stresses) == 4:
stresses, is_all_zeros = writeFloats13E(stresses)
f.write(' %10i %13s %10i %13s %10i %13s %10i %13s\n' % (
eids[0], stresses[0],
eids[1], stresses[1],
eids[2], stresses[2],
eids[3], stresses[3]))
eids = []
stresses = []
if stresses:
line = ' '
stresses, is_all_zeros = writeFloats13E(stresses)
for eid, stress in zip(eids, stresses):
line += '%10i %13s ' % (eid, stress)
f.write(line.rstrip() + '\n')
msg.append(page_stamp % page_num)
f.write(''.join(msg))
msg = ['']
page_num += 1
return page_num - 1
def _xform_availability_zone(az, include_extra):
result = []
zone_info = {}
if hasattr(az, "zoneState"):
zone_info["zone_status"] = "available" if az.zoneState["available"] else "not available"
if hasattr(az, "zoneName"):
zone_info["zone_name"] = az.zoneName
if not include_extra:
result.append(zone_info)
return result
if hasattr(az, "hosts") and az.hosts:
for host, services in six.iteritems(az.hosts):
host_info = copy.deepcopy(zone_info)
host_info["host_name"] = host
for svc, state in six.iteritems(services):
info = copy.deepcopy(host_info)
info["service_name"] = svc
info["service_status"] = "%s %s %s" % (
"enabled" if state["active"] else "disabled",
":-)" if state["available"] else "XXX",
state["updated_at"],
)
result.append(info)
else:
zone_info["host_name"] = ""
zone_info["service_name"] = ""
zone_info["service_status"] = ""
result.append(zone_info)
return result
def _write_input(self, input_dir="."):
"""
Write the packmol input file to the input directory.
Args:
input_dir (string): path to the input directory
"""
with open(os.path.join(input_dir, self.input_file), 'wt', encoding="utf-8") as inp:
for k, v in six.iteritems(self.control_params):
inp.write('{} {}\n'.format(k, self._format_param_val(v)))
# write the structures of the constituent molecules to file and set
# the molecule id and the corresponding filename in the packmol
# input file.
for idx, mol in enumerate(self.mols):
a = BabelMolAdaptor(mol)
pm = pb.Molecule(a.openbabel_mol)
filename = os.path.join(
input_dir, '{}.{}'.format(
idx, self.control_params["filetype"])).encode("ascii")
pm.write(self.control_params["filetype"], filename=filename,
overwrite=True)
inp.write("\n")
inp.write(
"structure {}.{}\n".format(
os.path.join(input_dir, str(idx)),
self.control_params["filetype"]))
for k, v in six.iteritems(self.param_list[idx]):
inp.write(' {} {}\n'.format(k, self._format_param_val(v)))
inp.write('end structure\n')
def convex_cardinality_wrapper(*args, **kwargs):
def dict_result(r):
if isinstance(r, tuple):
return dict(r[0])
return dict(r)
# Initial run with default weights
full_result = f(*args, **kwargs)
result = dict_result(full_result)
def update_weight(value):
return 1/(epsilon + abs(value))
# Iterate until the difference from one iteration to
# the next is less than epsilon.
while True:
weights = {identifier: update_weight(value)
for identifier, value in iteritems(result)}
kwargs['weights'] = weights
last_result = result
full_result = f(*args, **kwargs)
result = dict_result(full_result)
delta = math.sqrt(sum(pow(value - last_result[identifier], 2)
for identifier, value in iteritems(result)))
if delta < epsilon:
break
if isinstance(full_result, tuple):
return (iteritems(result),) + full_result[1:]
return iteritems(result)
def _blobnames_from_toplevelname(self, toplevelname, ilk=None):
"""Yield all blobnames in the currently selected catalogs
with the given toplevelname.
If "ilk" is given then only symbols of that ilk will be considered.
"""
# toplevelname_index: {lang -> ilk -> toplevelname -> res_id -> blobnames}
if self.lang in self.catalogs_zone.toplevelname_index:
for i, potential_bfrft \
in six.iteritems(self.catalogs_zone.toplevelname_index[self.lang]):
if ilk is not None and i != ilk:
continue
if toplevelname not in potential_bfrft:
continue
potential_bfr = potential_bfrft[toplevelname]
if self.selection_res_id_set is None:
for blobnames in six.itervalues(potential_bfr):
for blobname in blobnames:
yield blobname
else:
for res_id, blobnames in six.iteritems(potential_bfr):
if res_id not in self.selection_res_id_set:
continue
for blobname in blobnames:
yield blobname
def load_shabp_results(self, shabp_filename, dirname):
Cpd, deltad = self.model.read_shabp_out(shabp_filename)
cases = self.result_cases
icase = len(cases)
mach_results = []
form = self.form
form.append(('Results', None, mach_results))
#self.result_cases = {}
mach_forms = {}
for case_id, Cp in sorted(iteritems(Cpd)):
Cp = Cpd[case_id]
#delta = deltad[case_id]
mach, alpha, beta = self.model.shabp_cases[case_id]
#name = 'Mach=%g Alpha=%g' % (mach, alpha)
name = 'Mach=%g Alpha=%g' % (mach, alpha)
cases[(name, icase, 'Cp', 1, 'centroid', '%.3f', '')] = Cp
cp_form = [
('Cp', icase, [])
]
mach_forms[mach].append(('Cp', None, cp_form))
#self.result_cases[(name, 'delta', 1, 'centroid', '%.3f')] = delta
for mach, mach_form in sorted(iteritems(mach_forms)):
mach_results.append(mach_form)
self._finish_results_io2(form, cases)
def setMetadata(self, folder, metadata):
"""
Set metadata on a folder. A rest exception is thrown in the cases
where the metadata json object is badly formed, or if any of the
metadata keys contains a period ('.').
:param folder: The folder to set the metadata on.
:type folder: dict
:param metadata: A dictionary containing key-value pairs to add to
the folder's meta field
:type metadata: dict
:returns: the folder document
"""
if 'meta' not in folder:
folder['meta'] = {}
# Add new metadata to existing metadata
folder['meta'].update(six.iteritems(metadata))
# Remove metadata fields that were set to null (use items in py3)
folder['meta'] = {k: v
for k, v in six.iteritems(folder['meta'])
if v is not None}
folder['updated'] = datetime.datetime.utcnow()
# Validate and save the item
return self.save(folder)
def encode_task_value(value, query=False):
if value is None:
value = ''
elif isinstance(value, datetime.datetime):
if not value.tzinfo:
# Dates not having timezone information should be
# assumed to be in local time
value = value.replace(tzinfo=dateutil.tz.tzlocal())
# All times should be converted to UTC before serializing
value = value.astimezone(pytz.utc).strftime(DATE_FORMAT)
elif isinstance(value, datetime.date):
value = value.strftime(DATE_FORMAT)
elif isinstance(value, six.string_types):
if query:
# In some contexts, parentheses are interpreted for use in
# logical expressions. They must *sometimes* be escaped.
for left, right in six.iteritems(logical_replacements):
value = value.replace(left, right)
else:
for unsafe, safe in six.iteritems(
encode_replacements_experimental
):
value = value.replace(unsafe, safe)
else:
value = str(value)
return value
def learn(self, my_dict, aplot=None):
if my_dict is None:
logging.critical("Cannot learn function with empty dict")
return lambda _: 1, 0
d_dict = dict()
samples, thresholds = [], []
for k, v in six.iteritems(my_dict):
for o in (_ for _ in v if _):
dnearest = np.array(np.load("{}.npz".format(o))['X']).reshape(
-1, 1)
var = np.var(dnearest)
if var == 0:
continue
med = np.median(dnearest)
mean, _, _, h = mean_confidence_interval(dnearest)
samples.append(dnearest.shape[0])
d_dict.setdefault(o.split('/')[0], dict()).setdefault(k, [med, h])
# for the threshold, fit a gaussian (unused for AP)
thresholds.append(_gaussian_fit(dnearest))
if len(d_dict) < 1:
logging.critical("dictionary is empty")
return lambda _: 1, 0
for k, v in six.iteritems(d_dict): # there is only one
xdata = np.array(sorted(v))
ydata = np.array([np.mean(v[x][0]) for x in xdata])
yerr = np.array([np.mean(v[x][1]) for x in xdata])
# Take only significant values, higher than 0
mask = ydata > 0
xdata = xdata[mask]
if xdata.shape[0] < 2:
logging.critical("Too few points to learn function")
# no correction can be applied
return lambda _: 1, 0
ydata = ydata[mask]
ydata = ydata[0] / ydata # normalise
yerr = yerr[mask]
order = min(self.order, xdata.shape[0] - 1)
warnings.filterwarnings("ignore")
with warnings.catch_warnings():
warnings.filterwarnings('error')
try:
poly = np.poly1d(np.polyfit(
xdata, ydata, order, w=1. / (yerr + 1e-15)))
except np.RankWarning:
logging.critical(
"Cannot fit polynomial with degree %d, npoints %d",
order, xdata.shape[0])
return lambda _: 1, 0
if self.aplot is not None:
plot_learning_function(xdata, ydata, yerr, order, self.aplot, poly)
# poly = partial(model, res.x)
return poly, 1 - (filter(
lambda x: x > 0,
np.array(thresholds)[np.array(samples).argsort()[::-1]]) or [0])[0]
def _resolve_value(self, value):
if isinstance(value, six.string_types):
if value[0:2] == "<<":
return value[1:]
if value[0:1] == "<" and ">" in value:
service_name, _, attrs = value[1:].rpartition(">")
service = self._resolve_service(service_name)
attrs = [a for a in attrs.split('.') if a]
return six.moves.reduce(getattr, attrs, service)
elif isinstance(value, dict):
if self.factory_key in value:
factory, args = self._resolve_value(value[self.factory_key]), []
if isinstance(factory, list):
factory, args = factory[0], factory[1:]
if isinstance(factory, six.string_types):
factory = import_name(factory)
kwargs = {}
for (dict_key, dict_value) in six.iteritems(value):
if dict_key != self.factory_key:
kwargs[dict_key] = self._resolve_value(dict_value)
try:
return factory(*args, **kwargs)
except Exception as err:
raise_and_annotate(err, "While calling factory '%s'" % value[self.factory_key])
return {dict_key: self._resolve_value(dict_value)
for (dict_key, dict_value) in six.iteritems(value)}
elif isinstance(value, list):
return [self._resolve_value(item) for item in value]
return value
def get_group_tag_values_for_users(self, event_users, limit=100):
start, end = self.get_time_range()
filters = {
'project_id': [eu.project_id for eu in event_users]
}
conditions = [
['tags[sentry:user]', 'IN', filter(None, [eu.tag_value for eu in event_users])]
]
aggregations = [
['count()', '', 'times_seen'],
['min', SEEN_COLUMN, 'first_seen'],
['max', SEEN_COLUMN, 'last_seen'],
]
result = snuba.query(start, end, ['issue', 'user_id'], conditions, filters,
aggregations, orderby='-last_seen', limit=limit,
referrer='tagstore.get_group_tag_values_for_users')
values = []
for issue, users in six.iteritems(result):
for name, data in six.iteritems(users):
values.append(
GroupTagValue(
group_id=issue,
key='sentry:user',
value=name,
**fix_tag_value_data(data)
)
)
return values
def __init__(self, query_dict=None, q=None, fq=None, fl=DEFAULT_FIELDS,
sort=None, start=0, rows=50, max_pages=1, token=None, **kwargs):
"""
constructor
:param query_dict: raw query that will be sent unmodified. raw takes
precedence over individually defined query params
:type query_dict: dict
:param q: solr "q" param (query)
:param fq: solr "fq" param (filter query)
:param fl: solr "fl" param (filter limit)
:param sort: solr "sort" param (sort)
:param start: solr "start" param (start)
:param rows: solr "rows" param (rows)
:param max_pages: Maximum number of pages to return. This value may
be modified after instantiation to increase the number of results
:param token: optional API token to use for this searchquery
:param kwargs: kwargs to add to `q` as "key:value"
"""
self._articles = []
self.response = None # current SolrResponse object
self.max_pages = max_pages
self.__iter_counter = 0 # Counter for our custom iterator method
if query_dict is not None:
query_dict.setdefault('rows', 50)
query_dict.setdefault('start', 0)
self._query = query_dict
else:
if sort is not None:
sort = sort if " " in sort else "{} desc".format(sort)
_ = {
"q": q or '',
"fq": fq,
"fl": fl,
"sort": sort,
"start": start,
"rows": int(rows),
}
# Filter out None values
self._query = dict(
(k, v) for k, v in six.iteritems(_) if v is not None
)
# Include `id` as a field, always (could be None, string or list)
self._query.setdefault("fl", ["id"])
if isinstance(self._query["fl"], six.string_types):
_ = map(str.strip, self._query["fl"].split(","))
self._query["fl"] = ["id"] + list(_)
else:
self._query["fl"] = ["id"] + self._query["fl"]
# Format and add kwarg (key, value) pairs to q
if kwargs:
_ = ['{}:"{}"'.format(k, v) for k, v in six.iteritems(kwargs)]
self._query['q'] = '{} {}'.format(self._query['q'], ' '.join(_))
assert self._query.get('rows') > 0, "rows must be greater than 0"
assert self._query.get('q'), "q must not be empty"
if token is not None:
self.token = token
def outputconflicts(self, options):
"""saves the result of the conflict match"""
print("%d/%d different strings have conflicts" % (len(self.conflictmap), len(self.textmap)))
reducedmap = {}
def str_len(x):
return len(x)
for source, translations in six.iteritems(self.conflictmap):
words = source.split()
words.sort(key=str_len)
source = words[-1]
reducedmap.setdefault(source, []).extend(translations)
# reduce plurals
plurals = {}
for word in reducedmap:
if word + "s" in reducedmap:
plurals[word] = word + "s"
for word, pluralword in six.iteritems(plurals):
reducedmap[word].extend(reducedmap.pop(pluralword))
for source, translations in six.iteritems(reducedmap):
flatsource = self.flatten(source, "-")
fulloutputpath = os.path.join(options.output, flatsource + os.extsep + "po")
conflictfile = po.pofile()
for target, unit, filename in translations:
unit.othercomments.append("# (poconflicts) %s\n" % filename)
conflictfile.units.append(unit)
with open(fulloutputpath, "wb") as fh:
conflictfile.serialize(fh)
def invert_dict(d, many = False):
"""
Returns the inversion of keys and values in dictionary d. The default case
allows overriding of values pointed to by multiple keys. Passing many=True
will make each value a key for the list of values pointing to it.
Examples:
invert_dict({ 1 : 2, 3 : 4 })
{ 2 : 1, 4 : 3 }
invert_dict({ 1 : 2, 2 : 2, 3 : 2 })
{ 2 : 3 }
invert_dict({ 1 : 2, 2 : 2, 3 : 2 }, many=True)
{ 2 : [ 1, 2, 3 ] }
"""
if not many:
return { v : k for k, v in six.iteritems(d) }
output = collections.defaultdict(list)
for k, v in six.iteritems(d):
output[v].append(k)
return dict(output)
def update_request_log_settings_with_http_info(self, **kwargs):
"""
Enables or disables API request logging for troubleshooting.
Enables or disables API request logging for troubleshooting. When enabled (`apiRequestLogging` is set to true), REST API requests and responses for the user are added to a log. A log can have up to 50 requests/responses and the current number of log entries can be determined by getting the settings. Logging is automatically disabled when the log limit of 50 is reached. You can call [ML:GetRequestLog] or [ML:GetRequestLogs] to download the log files (individually or as a zip file). Call [ML:DeleteRequestLogs] to clear the log by deleting current entries. Private information, such as passwords and integrator key information, which is normally located in the call header is omitted from the request/response log. ###### Note: API request logging only captures requests from the authenticated user. Any call that does not authenticate the user and resolve a userId isn't logged. Meaning that login_information, NewAccounts, or other distributor-credential calls are not logged.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.update_request_log_settings_with_http_info(callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param DiagnosticsSettingsInformation diagnostics_settings_information:
:return: DiagnosticsSettingsInformation
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['diagnostics_settings_information']
all_params.append('callback')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError("Got an unexpected keyword argument '%s'"
" to method update_request_log_settings" % key)
params[key] = val
del params['kwargs']
collection_formats = {}
resource_path = '/v2/diagnostics/settings'.replace('{format}', 'json')
path_params = {}
query_params = {}
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'diagnostics_settings_information' in params:
body_params = params['diagnostics_settings_information']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
# Authentication setting
auth_settings = []
return self.api_client.call_api(
resource_path,
'PUT',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='DiagnosticsSettingsInformation',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_reminder(self, alert_token, **kwargs):
# type: (str, **Any) -> Union[ApiResponse, GetReminderResponse, Error]
"""
This API is invoked by the skill to get a single reminder.
:param alert_token: (required)
:type alert_token: str
:param full_response: Boolean value to check if response should contain headers and status code information.
This value had to be passed through keyword arguments, by default the parameter value is set to False.
:type full_response: boolean
:rtype: Union[ApiResponse, GetReminderResponse, Error]
"""
operation_name = "get_reminder"
params = locals()
for key, val in six.iteritems(params['kwargs']):
params[key] = val
del params['kwargs']
# verify the required parameter 'alert_token' is set
if ('alert_token' not in params) or (params['alert_token'] is None):
raise ValueError(
"Missing the required parameter `alert_token` when calling `" + operation_name + "`")
resource_path = '/v1/alerts/reminders/{alertToken}'
resource_path = resource_path.replace('{format}', 'json')
path_params = {} # type: Dict
if 'alert_token' in params:
path_params['alertToken'] = params['alert_token']
query_params = [] # type: List
header_params = [] # type: List
body_params = None
header_params.append(('Content-type', 'application/json'))
# Response Type
full_response = False
if 'full_response' in params:
full_response = params['full_response']
# Authentication setting
authorization_value = "Bearer " + self._authorization_value
header_params.append(("Authorization", authorization_value))
error_definitions = [] # type: List
error_definitions.append(ServiceClientResponse(response_type="ask_sdk_model.services.reminder_management.get_reminder_response.GetReminderResponse", status_code=200, message="Success"))
error_definitions.append(ServiceClientResponse(response_type="ask_sdk_model.services.reminder_management.error.Error", status_code=401, message="UserAuthenticationException. Request is not authorized/authenticated e.g. If customer does not have permission to create a reminder."))
error_definitions.append(ServiceClientResponse(response_type="ask_sdk_model.services.reminder_management.error.Error", status_code=429, message="RateExceededException e.g. When the skill is throttled for exceeding the max rate"))
error_definitions.append(ServiceClientResponse(response_type="ask_sdk_model.services.reminder_management.error.Error", status_code=500, message="Internal Server Error"))
api_response = self.invoke(
method="GET",
endpoint=self._api_endpoint,
path=resource_path,
path_params=path_params,
query_params=query_params,
header_params=header_params,
body=body_params,
response_definitions=error_definitions,
response_type="ask_sdk_model.services.reminder_management.get_reminder_response.GetReminderResponse")
if full_response:
return api_response
return api_response.body
def draw_boxes_and_labels(
boxes,
classes,
scores,
category_index,
instance_masks=None,
keypoints=None,
max_boxes_to_draw=20,
min_score_thresh=.5,
agnostic_mode=False):
"""Returns boxes coordinates, class names and colors
Args:
boxes: a numpy array of shape [N, 4]
classes: a numpy array of shape [N]
scores: a numpy array of shape [N] or None. If scores=None, then
this function assumes that the boxes to be plotted are groundtruth
boxes and plot all boxes as black with no classes or scores.
category_index: a dict containing category dictionaries (each holding
category index `id` and category name `name`) keyed by category indices.
instance_masks: a numpy array of shape [N, image_height, image_width], can
be None
keypoints: a numpy array of shape [N, num_keypoints, 2], can
be None
max_boxes_to_draw: maximum number of boxes to visualize. If None, draw
all boxes.
min_score_thresh: minimum score threshold for a box to be visualized
agnostic_mode: boolean (default: False) controlling whether to evaluate in
class-agnostic mode or not. This mode will display scores but ignore
classes.
"""
# Create a display string (and color) for every box location, group any boxes
# that correspond to the same location.
box_to_display_str_map = collections.defaultdict(list)
box_to_color_map = collections.defaultdict(str)
box_to_instance_masks_map = {}
box_to_keypoints_map = collections.defaultdict(list)
if not max_boxes_to_draw:
max_boxes_to_draw = boxes.shape[0]
for i in range(min(max_boxes_to_draw, boxes.shape[0])):
if scores is None or scores[i] > min_score_thresh:
box = tuple(boxes[i].tolist())
if instance_masks is not None:
box_to_instance_masks_map[box] = instance_masks[i]
if keypoints is not None:
box_to_keypoints_map[box].extend(keypoints[i])
if scores is None:
box_to_color_map[box] = 'black'
else:
if not agnostic_mode:
if classes[i] in category_index.keys():
class_name = category_index[classes[i]]['name']
else:
class_name = 'N/A'
display_str = '{}: {}%'.format(
class_name,
int(100 * scores[i]))
else:
display_str = 'score: {}%'.format(int(100 * scores[i]))
box_to_display_str_map[box].append(display_str)
if agnostic_mode:
box_to_color_map[box] = 'DarkOrange'
else:
box_to_color_map[box] = standard_colors()[
classes[i] % len(standard_colors())]
# Store all the coordinates of the boxes, class names and colors
color_rgb = color_name_to_rgb()
rect_points = []
class_names = []
class_colors = []
for box, color in six.iteritems(box_to_color_map):
ymin, xmin, ymax, xmax = box
rect_points.append(dict(ymin=ymin, xmin=xmin, ymax=ymax, xmax=xmax))
class_names.append(box_to_display_str_map[box])
class_colors.append(color_rgb[color.lower()])
return rect_points, class_names, class_colors
def get_with_http_info(self, **kwargs): # noqa: E501
"""Get the EULA # noqa: E501
# noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async=True
>>> thread = api.get_with_http_info(async=True)
>>> result = thread.get()
:param async bool
:return: Eula
If the method is called asynchronously,
returns the request thread.
"""
all_params = [] # noqa: E501
all_params.append('async')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method get" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# Authentication setting
auth_settings = [] # noqa: E501
return self.api_client.call_api(
'/api/v10/eula', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='Eula', # noqa: E501
auth_settings=auth_settings,
async=params.get('async'),
model_package="cloudera.director.v10.models",
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def RunCommand(self,
command_name,
args=None,
headers=None,
debug=0,
return_stdout=False,
return_stderr=False,
return_log_handler=False,
cwd=None):
"""Method for calling gslib.command_runner.CommandRunner.
Passes parallel_operations=False for all tests, optionally saving/returning
stdout output. We run all tests multi-threaded, to exercise those more
complicated code paths.
TODO: Change to run with parallel_operations=True for all tests. At
present when you do this it causes many test failures.
Args:
command_name: The name of the command being run.
args: Command-line args (arg0 = actual arg, not command name ala bash).
headers: Dictionary containing optional HTTP headers to pass to boto.
debug: Debug level to pass in to boto connection (range 0..3).
return_stdout: If True, will save and return stdout produced by command.
return_stderr: If True, will save and return stderr produced by command.
return_log_handler: If True, will return a MockLoggingHandler instance
that was attached to the command's logger while running.
cwd: The working directory that should be switched to before running the
command. The working directory will be reset back to its original
value after running the command. If not specified, the working
directory is left unchanged.
Returns:
One or a tuple of requested return values, depending on whether
return_stdout, return_stderr, and/or return_log_handler were specified.
Return Types:
stdout - binary
stderr - str (binary in Py2, text in Py3)
log_handler - MockLoggingHandler
"""
args = args or []
command_line = six.ensure_text(' '.join([command_name] + args))
if self.is_debugging:
print_to_fd('\nRunCommand of {}\n'.format(command_line),
file=self.stderr_save)
# Save and truncate stdout and stderr for the lifetime of RunCommand. This
# way, we can return just the stdout and stderr that was output during the
# RunNamedCommand call below.
sys.stdout.seek(0)
sys.stderr.seek(0)
stdout = sys.stdout.read()
stderr = sys.stderr.read()
if stdout:
self.accumulated_stdout.append(stdout)
if stderr:
self.accumulated_stderr.append(stderr)
sys.stdout.seek(0)
sys.stderr.seek(0)
sys.stdout.truncate()
sys.stderr.truncate()
mock_log_handler = MockLoggingHandler()
logging.getLogger(command_name).addHandler(mock_log_handler)
if debug:
logging.getLogger(command_name).setLevel(logging.DEBUG)
try:
with WorkingDirectory(cwd):
self.command_runner.RunNamedCommand(command_name,
args=args,
headers=headers,
debug=debug,
parallel_operations=False,
do_shutdown=False)
finally:
sys.stdout.seek(0)
sys.stderr.seek(0)
if six.PY2:
stdout = sys.stdout.read()
stderr = sys.stderr.read()
else:
try:
stdout = sys.stdout.read()
stderr = sys.stderr.read()
except UnicodeDecodeError:
sys.stdout.seek(0)
sys.stderr.seek(0)
stdout = sys.stdout.buffer.read().decode(UTF8)
stderr = sys.stderr.buffer.read().decode(UTF8)
logging.getLogger(command_name).removeHandler(mock_log_handler)
mock_log_handler.close()
log_output = '\n'.join(
'%s:\n ' % level + '\n '.join(records)
for level, records in six.iteritems(mock_log_handler.messages)
if records)
_id = six.ensure_text(self.id())
if self.is_debugging and log_output:
print_to_fd('==== logging RunCommand {} {} ====\n'.format(
_id, command_line),
file=self.stderr_save)
print_to_fd(log_output, file=self.stderr_save)
print_to_fd('\n==== end logging ====\n', file=self.stderr_save)
if self.is_debugging and stdout:
print_to_fd('==== stdout RunCommand {} {} ====\n'.format(
_id, command_line),
file=self.stderr_save)
print_to_fd(stdout, file=self.stderr_save)
print_to_fd('==== end stdout ====\n', file=self.stderr_save)
if self.is_debugging and stderr:
print_to_fd('==== stderr RunCommand {} {} ====\n'.format(
_id, command_line),
file=self.stderr_save)
print_to_fd(stderr, file=self.stderr_save)
print_to_fd('==== end stderr ====\n', file=self.stderr_save)
# Reset stdout and stderr files, so that we won't print them out again
# in tearDown if debugging is enabled.
sys.stdout.seek(0)
sys.stderr.seek(0)
sys.stdout.truncate()
sys.stderr.truncate()
to_return = []
if return_stdout:
to_return.append(stdout)
if return_stderr:
to_return.append(stderr)
if return_log_handler:
to_return.append(mock_log_handler)
if len(to_return) == 1:
return to_return[0]
return tuple(to_return)
def collection_hits_get_collection_hit_with_http_info(
self, data_view_name, collection_hit_id, **kwargs): # noqa: E501
"""Requires OrbitAdmin: Returns details for a given collection hit. # noqa: E501
This endpoint is only available for users with the OrbitAdmin role # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.collection_hits_get_collection_hit_with_http_info(data_view_name, collection_hit_id, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str data_view_name: The name of the DataView to act on (required)
:param int collection_hit_id: The id of the hit (required)
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(CollectionHitDetail, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = ['data_view_name', 'collection_hit_id'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method collection_hits_get_collection_hit" % key)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'data_view_name' is set
if ('data_view_name' not in local_var_params
or local_var_params['data_view_name'] is None):
raise ApiValueError(
"Missing the required parameter `data_view_name` when calling `collection_hits_get_collection_hit`"
) # noqa: E501
# verify the required parameter 'collection_hit_id' is set
if ('collection_hit_id' not in local_var_params
or local_var_params['collection_hit_id'] is None):
raise ApiValueError(
"Missing the required parameter `collection_hit_id` when calling `collection_hits_get_collection_hit`"
) # noqa: E501
collection_formats = {}
path_params = {}
if 'data_view_name' in local_var_params:
path_params['dataViewName'] = local_var_params[
'data_view_name'] # noqa: E501
if 'collection_hit_id' in local_var_params:
path_params['collectionHitId'] = local_var_params[
'collection_hit_id'] # noqa: E501
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json', 'text/json', 'application/xml',
'text/xml']) # noqa: E501
# Authentication setting
auth_settings = ['faststats_auth'] # noqa: E501
return self.api_client.call_api(
'/{dataViewName}/CollectionHits/{collectionHitId}',
'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='CollectionHitDetail', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get(
'_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def collection_hits_get_collection_hits_with_http_info(
self, data_view_name, **kwargs): # noqa: E501
"""Requires OrbitAdmin: Returns all the hit information for all collections. # noqa: E501
This endpoint is only available for users with the OrbitAdmin role # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.collection_hits_get_collection_hits_with_http_info(data_view_name, async_req=True)
>>> result = thread.get()
:param async_req bool: execute request asynchronously
:param str data_view_name: The name of the DataView to act on (required)
:param str filter: Filter the list of items using a simple expression language. The available list of fields are Username, Timestamp, UserAgentDetails
:param str order_by: Order the items by a given field (in ascending order unless the field is preceeded by a \"-\" character). The available list of fields are Username, Timestamp, UserAgentDetails
:param int offset: The number of items to skip in the (potentially filtered) result set before returning subsequent items.
:param int count: The maximum number of items to show from the (potentially filtered) result set.
:param _return_http_data_only: response data without head status code
and headers
:param _preload_content: if False, the urllib3.HTTPResponse object will
be returned without reading/decoding response
data. Default is True.
:param _request_timeout: timeout setting for this request. If one
number provided, it will be total request
timeout. It can also be a pair (tuple) of
(connection, read) timeouts.
:return: tuple(PagedResultsCollectionHitSummary, status_code(int), headers(HTTPHeaderDict))
If the method is called asynchronously,
returns the request thread.
"""
local_var_params = locals()
all_params = [
'data_view_name', 'filter', 'order_by', 'offset', 'count'
] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
for key, val in six.iteritems(local_var_params['kwargs']):
if key not in all_params:
raise ApiTypeError(
"Got an unexpected keyword argument '%s'"
" to method collection_hits_get_collection_hits" % key)
local_var_params[key] = val
del local_var_params['kwargs']
# verify the required parameter 'data_view_name' is set
if ('data_view_name' not in local_var_params
or local_var_params['data_view_name'] is None):
raise ApiValueError(
"Missing the required parameter `data_view_name` when calling `collection_hits_get_collection_hits`"
) # noqa: E501
if 'offset' in local_var_params and local_var_params[
'offset'] < 0: # noqa: E501
raise ApiValueError(
"Invalid value for parameter `offset` when calling `collection_hits_get_collection_hits`, must be a value greater than or equal to `0`"
) # noqa: E501
if 'count' in local_var_params and local_var_params[
'count'] < 0: # noqa: E501
raise ApiValueError(
"Invalid value for parameter `count` when calling `collection_hits_get_collection_hits`, must be a value greater than or equal to `0`"
) # noqa: E501
collection_formats = {}
path_params = {}
if 'data_view_name' in local_var_params:
path_params['dataViewName'] = local_var_params[
'data_view_name'] # noqa: E501
query_params = []
if 'filter' in local_var_params:
query_params.append(
('filter', local_var_params['filter'])) # noqa: E501
if 'order_by' in local_var_params:
query_params.append(
('orderBy', local_var_params['order_by'])) # noqa: E501
if 'offset' in local_var_params:
query_params.append(
('offset', local_var_params['offset'])) # noqa: E501
if 'count' in local_var_params:
query_params.append(
('count', local_var_params['count'])) # noqa: E501
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json', 'text/json', 'application/xml',
'text/xml']) # noqa: E501
# Authentication setting
auth_settings = ['faststats_auth'] # noqa: E501
return self.api_client.call_api(
'/{dataViewName}/CollectionHits',
'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='PagedResultsCollectionHitSummary', # noqa: E501
auth_settings=auth_settings,
async_req=local_var_params.get('async_req'),
_return_http_data_only=local_var_params.get(
'_return_http_data_only'), # noqa: E501
_preload_content=local_var_params.get('_preload_content', True),
_request_timeout=local_var_params.get('_request_timeout'),
collection_formats=collection_formats)
def list_request_logs_with_http_info(self, **kwargs):
"""
Gets the API request logging log files.
Retrieves a list of log entries as a JSON or xml object or as a zip file containing the entries. If the Accept header is set to application/zip, the response is a zip file containing individual text files, each representing an API request. If the Accept header is set to `application/json` or `application/xml`, the response returns list of log entries in either JSON or XML. An example JSON response body is shown below.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.list_request_logs_with_http_info(callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str encoding:
:return: ApiRequestLogsResult
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['encoding']
all_params.append('callback')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError("Got an unexpected keyword argument '%s'"
" to method list_request_logs" % key)
params[key] = val
del params['kwargs']
collection_formats = {}
resource_path = '/v2/diagnostics/request_logs'.replace(
'{format}', 'json')
path_params = {}
query_params = {}
if 'encoding' in params:
query_params['encoding'] = params['encoding']
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
# Authentication setting
auth_settings = []
return self.api_client.call_api(
resource_path,
'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ApiRequestLogsResult',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_request_log_with_http_info(self, request_log_id, **kwargs):
"""
Gets a request logging log file.
Retrieves information for a single log entry. **Request** The `requestLogfId` property can be retrieved by getting the list of log entries. The Content-Transfer-Encoding header can be set to base64 to retrieve the API request/response as base 64 string. Otherwise the bytes of the request/response are returned. **Response** If the Content-Transfer-Encoding header was set to base64, the log is returned as a base64 string.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_request_log_with_http_info(request_log_id, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str request_log_id: (required)
:return: file
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['request_log_id']
all_params.append('callback')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError("Got an unexpected keyword argument '%s'"
" to method get_request_log" % key)
params[key] = val
del params['kwargs']
# verify the required parameter 'request_log_id' is set
if ('request_log_id'
not in params) or (params['request_log_id'] is None):
raise ValueError(
"Missing the required parameter `request_log_id` when calling `get_request_log`"
)
collection_formats = {}
resource_path = '/v2/diagnostics/request_logs/{requestLogId}'.replace(
'{format}', 'json')
path_params = {}
if 'request_log_id' in params:
path_params['requestLogId'] = params['request_log_id']
query_params = {}
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['text/plain'])
# Authentication setting
auth_settings = []
return self.api_client.call_api(
resource_path,
'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='file',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def delete_request_logs_with_http_info(self, **kwargs):
"""
Deletes the request log files.
Deletes the request log files.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.delete_request_logs_with_http_info(callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:return: None
If the method is called asynchronously,
returns the request thread.
"""
all_params = []
all_params.append('callback')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError("Got an unexpected keyword argument '%s'"
" to method delete_request_logs" % key)
params[key] = val
del params['kwargs']
collection_formats = {}
resource_path = '/v2/diagnostics/request_logs'.replace(
'{format}', 'json')
path_params = {}
query_params = {}
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
# Authentication setting
auth_settings = []
return self.api_client.call_api(
resource_path,
'DELETE',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type=None,
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def test_loader_given_multiple_columns(self):
class Loader1DataSet1(DataSet):
col1 = Column(float32)
col2 = Column(float32)
class Loader1DataSet2(DataSet):
col1 = Column(float32)
col2 = Column(float32)
class Loader2DataSet(DataSet):
col1 = Column(float32)
col2 = Column(float32)
constants1 = {
Loader1DataSet1.col1: 1,
Loader1DataSet1.col2: 2,
Loader1DataSet2.col1: 3,
Loader1DataSet2.col2: 4
}
loader1 = RecordingConstantLoader(constants=constants1,
dates=self.dates,
assets=self.assets)
constants2 = {Loader2DataSet.col1: 5, Loader2DataSet.col2: 6}
loader2 = RecordingConstantLoader(constants=constants2,
dates=self.dates,
assets=self.assets)
engine = SimplePipelineEngine(
lambda column: loader2
if column.dataset == Loader2DataSet else loader1,
self.dates,
self.asset_finder,
)
pipe_col1 = RollingSumSum(inputs=[
Loader1DataSet1.col1, Loader1DataSet2.col1, Loader2DataSet.col1
],
window_length=2)
pipe_col2 = RollingSumSum(inputs=[
Loader1DataSet1.col2, Loader1DataSet2.col2, Loader2DataSet.col2
],
window_length=3)
pipe_col3 = RollingSumSum(inputs=[Loader2DataSet.col1],
window_length=3)
columns = OrderedDict([
('pipe_col1', pipe_col1),
('pipe_col2', pipe_col2),
('pipe_col3', pipe_col3),
])
result = engine.run_pipeline(
Pipeline(columns=columns),
self.dates[2], # index is >= the largest window length - 1
self.dates[-1])
min_window = min(pip_col.window_length
for pip_col in itervalues(columns))
col_to_val = ChainMap(constants1, constants2)
vals = {
name: (sum(col_to_val[col]
for col in pipe_col.inputs) * pipe_col.window_length)
for name, pipe_col in iteritems(columns)
}
index = MultiIndex.from_product([self.dates[2:], self.assets])
expected = DataFrame(data={
col:
concatenate((full(
(columns[col].window_length - min_window) * index.levshape[1],
nan),
full((index.levshape[0] -
(columns[col].window_length - min_window)) *
index.levshape[1], val)))
for col, val in iteritems(vals)
},
index=index,
columns=columns)
assert_frame_equal(result, expected)
self.assertEqual(
set(loader1.load_calls), {
ColumnArgs.sorted_by_ds(Loader1DataSet1.col1,
Loader1DataSet2.col1),
ColumnArgs.sorted_by_ds(Loader1DataSet1.col2,
Loader1DataSet2.col2)
})
self.assertEqual(set(loader2.load_calls), {
ColumnArgs.sorted_by_ds(Loader2DataSet.col1, Loader2DataSet.col2)
})
def get_service_with_http_info(self, **kwargs):
"""
Retrieves the available REST API versions.
Retrieves the available REST API versions. DocuSign Production system: https://www.docusign.net/restapi/service_information DocuSign Demo system: https://demo.docusign.net/restapi/service_information You do not need an integrator key to view the REST API versions and resources.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_service_with_http_info(callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:return: ServiceInformation
If the method is called asynchronously,
returns the request thread.
"""
all_params = []
all_params.append('callback')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError("Got an unexpected keyword argument '%s'"
" to method get_service" % key)
params[key] = val
del params['kwargs']
collection_formats = {}
resource_path = '/service_information'.replace('{format}', 'json')
path_params = {}
query_params = {}
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
# Authentication setting
auth_settings = []
return self.api_client.call_api(
resource_path,
'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ServiceInformation',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def get_final_text(pred_text, orig_text, do_lower_case):
"""Project the tokenized prediction back to the original text."""
# When we created the data, we kept track of the alignment between original
# (whitespace tokenized) tokens and our WordPiece tokenized tokens. So
# now `orig_text` contains the span of our original text corresponding to the
# span that we predicted.
#
# However, `orig_text` may contain extra characters that we don't want in
# our prediction.
#
# For example, let's say:
# pred_text = steve smith
# orig_text = Steve Smith's
#
# We don't want to return `orig_text` because it contains the extra "'s".
#
# We don't want to return `pred_text` because it's already been normalized
# (the SQuAD eval script also does punctuation stripping/lower casing but
# our tokenizer does additional normalization like stripping accent
# characters).
#
# What we really want to return is "Steve Smith".
#
# Therefore, we have to apply a semi-complicated alignment heruistic between
# `pred_text` and `orig_text` to get a character-to-charcter alignment. This
# can fail in certain cases in which case we just return `orig_text`.
def _strip_spaces(text):
ns_chars = []
ns_to_s_map = collections.OrderedDict()
for (i, c) in enumerate(text):
if c == " ":
continue
ns_to_s_map[len(ns_chars)] = i
ns_chars.append(c)
ns_text = "".join(ns_chars)
return (ns_text, ns_to_s_map)
# We first tokenize `orig_text`, strip whitespace from the result
# and `pred_text`, and check if they are the same length. If they are
# NOT the same length, the heuristic has failed. If they are the same
# length, we assume the characters are one-to-one aligned.
tokenizer = tokenization.BasicTokenizer(do_lower_case=do_lower_case)
tok_text = " ".join(tokenizer.tokenize(orig_text))
start_position = tok_text.find(pred_text)
if start_position == -1:
if FLAGS.verbose_logging:
tf.logging.info("Unable to find text: '%s' in '%s'" %
(pred_text, orig_text))
return orig_text
end_position = start_position + len(pred_text) - 1
(orig_ns_text, orig_ns_to_s_map) = _strip_spaces(orig_text)
(tok_ns_text, tok_ns_to_s_map) = _strip_spaces(tok_text)
if len(orig_ns_text) != len(tok_ns_text):
if FLAGS.verbose_logging:
tf.logging.info(
"Length not equal after stripping spaces: '%s' vs '%s'",
orig_ns_text, tok_ns_text)
return orig_text
# We then project the characters in `pred_text` back to `orig_text` using
# the character-to-character alignment.
tok_s_to_ns_map = {}
for (i, tok_index) in six.iteritems(tok_ns_to_s_map):
tok_s_to_ns_map[tok_index] = i
orig_start_position = None
if start_position in tok_s_to_ns_map:
ns_start_position = tok_s_to_ns_map[start_position]
if ns_start_position in orig_ns_to_s_map:
orig_start_position = orig_ns_to_s_map[ns_start_position]
if orig_start_position is None:
if FLAGS.verbose_logging:
tf.logging.info("Couldn't map start position")
return orig_text
orig_end_position = None
if end_position in tok_s_to_ns_map:
ns_end_position = tok_s_to_ns_map[end_position]
if ns_end_position in orig_ns_to_s_map:
orig_end_position = orig_ns_to_s_map[ns_end_position]
if orig_end_position is None:
if FLAGS.verbose_logging:
tf.logging.info("Couldn't map end position")
return orig_text
output_text = orig_text[orig_start_position:(orig_end_position + 1)]
return output_text
def get_matching_descriptions_data(company, transaction):
if not transaction.description:
return []
bank_transactions = frappe.db.sql("""
SELECT
bt.name, bt.description, bt.date, btp.payment_document, btp.payment_entry
FROM
`tabBank Transaction` as bt
LEFT JOIN
`tabBank Transaction Payments` as btp
ON
bt.name = btp.parent
WHERE
bt.allocated_amount > 0
AND
bt.docstatus = 1
""",
as_dict=True)
selection = []
for bank_transaction in bank_transactions:
if bank_transaction.description:
seq = difflib.SequenceMatcher(lambda x: x == " ",
transaction.description,
bank_transaction.description)
if seq.ratio() > 0.6:
bank_transaction["ratio"] = seq.ratio()
selection.append(bank_transaction)
document_types = set([x["payment_document"] for x in selection])
links = {}
for document_type in document_types:
links[document_type] = [
x["payment_entry"] for x in selection
if x["payment_document"] == document_type
]
data = []
company_currency = get_company_currency(company)
for key, value in iteritems(links):
if key == "Payment Entry":
data.extend(
frappe.get_all("Payment Entry",
filters=[["name", "in", value]],
fields=[
"'Payment Entry' as doctype",
"posting_date", "party", "reference_no",
"reference_date", "paid_amount",
"paid_to_account_currency as currency"
]))
if key == "Journal Entry":
journal_entries = frappe.get_all(
"Journal Entry",
filters=[["name", "in", value]],
fields=[
"name", "'Journal Entry' as doctype", "posting_date",
"paid_to_recd_from as party", "cheque_no as reference_no",
"cheque_date as reference_date",
"total_credit as paid_amount"
])
for journal_entry in journal_entries:
journal_entry_accounts = frappe.get_all(
"Journal Entry Account",
filters={
"parenttype": journal_entry["doctype"],
"parent": journal_entry["name"]
},
fields=["account_currency"])
journal_entry["currency"] = journal_entry_accounts[0][
"account_currency"] if journal_entry_accounts else company_currency
data.extend(journal_entries)
if key == "Sales Invoice":
data.extend(
frappe.get_all("Sales Invoice",
filters=[["name", "in", value]],
fields=[
"'Sales Invoice' as doctype",
"posting_date", "customer_name as party",
"paid_amount", "currency"
]))
if key == "Purchase Invoice":
data.extend(
frappe.get_all("Purchase Invoice",
filters=[["name", "in", value]],
fields=[
"'Purchase Invoice' as doctype",
"posting_date", "supplier_name as party",
"paid_amount", "currency"
]))
if key == "Expense Claim":
expense_claims = frappe.get_all(
"Expense Claim",
filters=[["name", "in", value]],
fields=[
"'Expense Claim' as doctype", "posting_date",
"employee_name as party",
"total_amount_reimbursed as paid_amount"
])
data.extend([
dict(x, **{"currency": company_currency})
for x in expense_claims
])
return data
def write_arguments_to_file(args, filename):
with open(filename, 'w') as f:
for key, value in iteritems(vars(args)):
f.write('%s: %s\n' % (key, str(value)))
def get_items_for_material_requests(doc, ignore_existing_ordered_qty=None):
if isinstance(doc, string_types):
doc = frappe._dict(json.loads(doc))
doc['mr_items'] = []
po_items = doc.get('po_items') if doc.get('po_items') else doc.get('items')
company = doc.get('company')
warehouse = doc.get('for_warehouse')
if not ignore_existing_ordered_qty:
ignore_existing_ordered_qty = doc.get('ignore_existing_ordered_qty')
so_item_details = frappe._dict()
for data in po_items:
planned_qty = data.get('required_qty') or data.get('planned_qty')
ignore_existing_ordered_qty = data.get('ignore_existing_ordered_qty') or ignore_existing_ordered_qty
warehouse = data.get("warehouse") or warehouse
item_details = {}
if data.get("bom") or data.get("bom_no"):
if data.get('required_qty'):
bom_no = data.get('bom')
include_non_stock_items = 1
include_subcontracted_items = 1 if data.get('include_exploded_items') else 0
else:
bom_no = data.get('bom_no')
include_subcontracted_items = doc.get('include_subcontracted_items')
include_non_stock_items = doc.get('include_non_stock_items')
if not planned_qty:
frappe.throw(_("For row {0}: Enter Planned Qty").format(data.get('idx')))
if bom_no:
if data.get('include_exploded_items') and include_subcontracted_items:
# fetch exploded items from BOM
item_details = get_exploded_items(item_details,
company, bom_no, include_non_stock_items, planned_qty=planned_qty)
else:
item_details = get_subitems(doc, data, item_details, bom_no, company,
include_non_stock_items, include_subcontracted_items, 1, planned_qty=planned_qty)
elif data.get('item_code'):
item_master = frappe.get_doc('Item', data['item_code']).as_dict()
purchase_uom = item_master.purchase_uom or item_master.stock_uom
conversion_factor = 0
for d in item_master.get("uoms"):
if d.uom == purchase_uom:
conversion_factor = d.conversion_factor
item_details[item_master.name] = frappe._dict(
{
'item_name' : item_master.item_name,
'default_bom' : doc.bom,
'purchase_uom' : purchase_uom,
'default_warehouse': item_master.default_warehouse,
'min_order_qty' : item_master.min_order_qty,
'default_material_request_type' : item_master.default_material_request_type,
'qty': planned_qty or 1,
'is_sub_contracted' : item_master.is_subcontracted_item,
'item_code' : item_master.name,
'description' : item_master.description,
'stock_uom' : item_master.stock_uom,
'conversion_factor' : conversion_factor,
}
)
sales_order = doc.get("sales_order")
for item_code, details in iteritems(item_details):
so_item_details.setdefault(sales_order, frappe._dict())
if item_code in so_item_details.get(sales_order, {}):
so_item_details[sales_order][item_code]['qty'] = so_item_details[sales_order][item_code].get("qty", 0) + flt(details.qty)
else:
so_item_details[sales_order][item_code] = details
mr_items = []
for sales_order, item_code in iteritems(so_item_details):
item_dict = so_item_details[sales_order]
for details in item_dict.values():
bin_dict = get_bin_details(details, doc.company, warehouse)
bin_dict = bin_dict[0] if bin_dict else {}
if details.qty > 0:
items = get_material_request_items(details, sales_order, company,
ignore_existing_ordered_qty, warehouse, bin_dict)
if items:
mr_items.append(items)
if not mr_items:
frappe.msgprint(_("""As raw materials projected quantity is more than required quantity, there is no need to create material request.
Still if you want to make material request, kindly enable <b>Ignore Existing Projected Quantity</b> checkbox"""))
return mr_items
def update_file_system_snapshots_with_http_info(self, name, attributes,
**kwargs):
"""
Update an existing file system snapshot
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.update_file_system_snapshots_with_http_info(name, attributes, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str name: The name of the file system or snapshot to be updated. (required)
:param SnapshotSuffix attributes: the new attributes, only modifiable fields could be used. (required)
:return: FileSystemSnapshotResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['name', 'attributes']
all_params.append('callback')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError("Got an unexpected keyword argument '%s'"
" to method update_file_system_snapshots" %
key)
params[key] = val
del params['kwargs']
# verify the required parameter 'name' is set
if ('name' not in params) or (params['name'] is None):
raise ValueError(
"Missing the required parameter `name` when calling `update_file_system_snapshots`"
)
# verify the required parameter 'attributes' is set
if ('attributes' not in params) or (params['attributes'] is None):
raise ValueError(
"Missing the required parameter `attributes` when calling `update_file_system_snapshots`"
)
collection_formats = {}
path_params = {}
query_params = []
if 'name' in params:
query_params.append(('name', params['name']))
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'attributes' in params:
body_params = params['attributes']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json'])
# Authentication setting
auth_settings = ['AuthTokenHeader']
return self.api_client.call_api(
'/1.2/file-system-snapshots',
'PATCH',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='FileSystemSnapshotResponse',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def convert_examples_to_features(examples, tokenizer, max_seq_length,
doc_stride, max_query_length, is_training,
output_fn):
"""Loads a data file into a list of `InputBatch`s."""
unique_id = 1000000000
for (example_index, example) in enumerate(examples):
query_tokens = tokenizer.tokenize(example.question_text)
if len(query_tokens) > max_query_length:
query_tokens = query_tokens[0:max_query_length]
tok_to_orig_index = []
orig_to_tok_index = []
all_doc_tokens = []
for (i, token) in enumerate(example.doc_tokens):
orig_to_tok_index.append(len(all_doc_tokens))
sub_tokens = tokenizer.tokenize(token)
for sub_token in sub_tokens:
tok_to_orig_index.append(i)
all_doc_tokens.append(sub_token)
tok_start_position = None
tok_end_position = None
if is_training:
tok_start_position = orig_to_tok_index[example.start_position]
if example.end_position < len(example.doc_tokens) - 1:
tok_end_position = orig_to_tok_index[example.end_position +
1] - 1
else:
tok_end_position = len(all_doc_tokens) - 1
(tok_start_position, tok_end_position) = _improve_answer_span(
all_doc_tokens, tok_start_position, tok_end_position,
tokenizer, example.orig_answer_text)
# The -3 accounts for [CLS], [SEP] and [SEP]
max_tokens_for_doc = max_seq_length - len(query_tokens) - 3
# We can have documents that are longer than the maximum sequence length.
# To deal with this we do a sliding window approach, where we take chunks
# of the up to our max length with a stride of `doc_stride`.
_DocSpan = collections.namedtuple( # pylint: disable=invalid-name
"DocSpan", ["start", "length"])
doc_spans = []
start_offset = 0
while start_offset < len(all_doc_tokens):
length = len(all_doc_tokens) - start_offset
if length > max_tokens_for_doc:
length = max_tokens_for_doc
doc_spans.append(_DocSpan(start=start_offset, length=length))
if start_offset + length == len(all_doc_tokens):
break
start_offset += min(length, doc_stride)
for (doc_span_index, doc_span) in enumerate(doc_spans):
tokens = []
token_to_orig_map = {}
token_is_max_context = {}
segment_ids = []
tokens.append("[CLS]")
segment_ids.append(0)
for token in query_tokens:
tokens.append(token)
segment_ids.append(0)
tokens.append("[SEP]")
segment_ids.append(0)
for i in range(doc_span.length):
split_token_index = doc_span.start + i
token_to_orig_map[len(
tokens)] = tok_to_orig_index[split_token_index]
is_max_context = _check_is_max_context(doc_spans,
doc_span_index,
split_token_index)
token_is_max_context[len(tokens)] = is_max_context
tokens.append(all_doc_tokens[split_token_index])
segment_ids.append(1)
tokens.append("[SEP]")
segment_ids.append(1)
input_ids = tokenizer.convert_tokens_to_ids(tokens)
# The mask has 1 for real tokens and 0 for padding tokens. Only real
# tokens are attended to.
input_mask = [1] * len(input_ids)
# Zero-pad up to the sequence length.
while len(input_ids) < max_seq_length:
input_ids.append(0)
input_mask.append(0)
segment_ids.append(0)
assert len(input_ids) == max_seq_length
assert len(input_mask) == max_seq_length
assert len(segment_ids) == max_seq_length
start_position = None
end_position = None
if is_training:
# For training, if our document chunk does not contain an annotation
# we throw it out, since there is nothing to predict.
doc_start = doc_span.start
doc_end = doc_span.start + doc_span.length - 1
if (example.start_position < doc_start
or example.end_position < doc_start
or example.start_position > doc_end
or example.end_position > doc_end):
continue
doc_offset = len(query_tokens) + 2
start_position = tok_start_position - doc_start + doc_offset
end_position = tok_end_position - doc_start + doc_offset
if example_index < 20:
tf.logging.info("*** Example ***")
tf.logging.info("unique_id: %s" % (unique_id))
tf.logging.info("example_index: %s" % (example_index))
tf.logging.info("doc_span_index: %s" % (doc_span_index))
tf.logging.info(
"tokens: %s" %
" ".join([tokenization.printable_text(x) for x in tokens]))
tf.logging.info("token_to_orig_map: %s" % " ".join([
"%d:%d" % (x, y)
for (x, y) in six.iteritems(token_to_orig_map)
]))
tf.logging.info("token_is_max_context: %s" % " ".join([
"%d:%s" % (x, y)
for (x, y) in six.iteritems(token_is_max_context)
]))
tf.logging.info("input_ids: %s" %
" ".join([str(x) for x in input_ids]))
tf.logging.info("input_mask: %s" %
" ".join([str(x) for x in input_mask]))
tf.logging.info("segment_ids: %s" %
" ".join([str(x) for x in segment_ids]))
if is_training:
answer_text = " ".join(
tokens[start_position:(end_position + 1)])
tf.logging.info("start_position: %d" % (start_position))
tf.logging.info("end_position: %d" % (end_position))
tf.logging.info("answer: %s" %
(tokenization.printable_text(answer_text)))
feature = InputFeatures(unique_id=unique_id,
example_index=example_index,
doc_span_index=doc_span_index,
tokens=tokens,
token_to_orig_map=token_to_orig_map,
token_is_max_context=token_is_max_context,
input_ids=input_ids,
input_mask=input_mask,
segment_ids=segment_ids,
start_position=start_position,
end_position=end_position)
# Run callback
output_fn(feature)
unique_id += 1
def get_user_profile_in_workspace_with_http_info(self, workspace_id,
**kwargs):
"""
user related profile in workspace
Users can be invited under an account by the administrator, and all resources (e.g. resources, networks, blueprints, credentials, clusters) can be shared across account users
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.get_user_profile_in_workspace_with_http_info(workspace_id, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int workspace_id: (required)
:return: UserProfileResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['workspace_id']
all_params.append('callback')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError("Got an unexpected keyword argument '%s'"
" to method get_user_profile_in_workspace" %
key)
params[key] = val
del params['kwargs']
# verify the required parameter 'workspace_id' is set
if ('workspace_id' not in params) or (params['workspace_id'] is None):
raise ValueError(
"Missing the required parameter `workspace_id` when calling `get_user_profile_in_workspace`"
)
collection_formats = {}
path_params = {}
if 'workspace_id' in params:
path_params['workspaceId'] = params['workspace_id']
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json'])
# Authentication setting
auth_settings = ['tokenAuth']
return self.api_client.call_api(
'/v3/{workspaceId}/users/profile',
'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='UserProfileResponse',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def create_file_system_snapshots_with_http_info(self, sources, **kwargs):
"""
Create snapshots for the specified source file systems
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.create_file_system_snapshots_with_http_info(sources, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param list[str] sources: A list of names of source file systems. (required)
:param SnapshotSuffix suffix: the suffix of the snapshot
:return: FileSystemSnapshotResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['sources', 'suffix']
all_params.append('callback')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError("Got an unexpected keyword argument '%s'"
" to method create_file_system_snapshots" %
key)
params[key] = val
del params['kwargs']
# verify the required parameter 'sources' is set
if ('sources' not in params) or (params['sources'] is None):
raise ValueError(
"Missing the required parameter `sources` when calling `create_file_system_snapshots`"
)
collection_formats = {}
path_params = {}
query_params = []
if 'sources' in params:
query_params.append(('sources', params['sources']))
collection_formats['sources'] = 'csv'
header_params = {}
form_params = []
local_var_files = {}
body_params = None
if 'suffix' in params:
body_params = params['suffix']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json'])
# Authentication setting
auth_settings = ['AuthTokenHeader']
return self.api_client.call_api(
'/1.2/file-system-snapshots',
'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='FileSystemSnapshotResponse',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def list_secret_keys_with_http_info(self, app_id, **kwargs):
"""
List the secret keys for the specified app.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.list_secret_keys_with_http_info(app_id, callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str app_id: Identifies the app. (required)
:return: ListSecretKeysResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['app_id']
all_params.append('callback')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method list_secret_keys" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'app_id' is set
if ('app_id' not in params) or (params['app_id'] is None):
raise ValueError("Missing the required parameter `app_id` when calling `list_secret_keys`")
collection_formats = {}
path_params = {}
if 'app_id' in params:
path_params['appId'] = params['app_id']
query_params = []
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json'])
# Authentication setting
auth_settings = ['basicAuth', 'jwt']
return self.api_client.call_api('/v1.1/apps/{appId}/keys', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ListSecretKeysResponse',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def list_file_system_snapshots_with_http_info(self, **kwargs):
"""
List file system snapshots
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.list_file_system_snapshots_with_http_info(callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param str filter: The filter to be used for query.
:param str sort: The way to order the results.
:param int start: start
:param int limit: limit, should be >= 0
:param str token: token
:param bool total: Return a total object in addition to the other results.
:param bool total_only: Return only the total object.
:param list[str] names_or_sources: A comma-separated list of resource names. Either the name of the snapshot or the source.
:return: FileSystemSnapshotResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = [
'filter', 'sort', 'start', 'limit', 'token', 'total', 'total_only',
'names_or_sources'
]
all_params.append('callback')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError("Got an unexpected keyword argument '%s'"
" to method list_file_system_snapshots" % key)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'filter' in params:
query_params.append(('filter', params['filter']))
if 'sort' in params:
query_params.append(('sort', params['sort']))
if 'start' in params:
query_params.append(('start', params['start']))
if 'limit' in params:
query_params.append(('limit', params['limit']))
if 'token' in params:
query_params.append(('token', params['token']))
if 'total' in params:
query_params.append(('total', params['total']))
if 'total_only' in params:
query_params.append(('total_only', params['total_only']))
if 'names_or_sources' in params:
query_params.append(
('names_or_sources', params['names_or_sources']))
collection_formats['names_or_sources'] = 'csv'
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json'])
# Authentication setting
auth_settings = ['AuthTokenHeader']
return self.api_client.call_api(
'/1.2/file-system-snapshots',
'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='FileSystemSnapshotResponse',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def selected_key(self):
for key, value in six.iteritems(self.values):
if value == unicode(self.currentText()).strip():
return key
def from_image(cls, context, image_id, image_meta):
"""Returns VMwareImage, the subset of properties the driver uses.
:param context - context
:param image_id - image id of image
:param image_meta - image metadata object we are working with
:return: vmware image object
:rtype: nova.virt.vmwareapi.images.VmwareImage
"""
properties = image_meta.properties
# calculate linked_clone flag, allow image properties to override the
# global property set in the configurations.
image_linked_clone = properties.get('img_linked_clone',
CONF.vmware.use_linked_clone)
# catch any string values that need to be interpreted as boolean values
linked_clone = strutils.bool_from_string(image_linked_clone)
if image_meta.obj_attr_is_set('container_format'):
container_format = image_meta.container_format
else:
container_format = None
props = {
'image_id': image_id,
'linked_clone': linked_clone,
'container_format': container_format,
'vsphere_location': get_vsphere_location(context, image_id)
}
if image_meta.obj_attr_is_set('size'):
props['file_size'] = image_meta.size
if image_meta.obj_attr_is_set('disk_format'):
props['file_type'] = image_meta.disk_format
hw_disk_bus = properties.get('hw_disk_bus')
if hw_disk_bus:
mapping = {
fields.SCSIModel.LSILOGIC: constants.DEFAULT_ADAPTER_TYPE,
fields.SCSIModel.LSISAS1068:
constants.ADAPTER_TYPE_LSILOGICSAS,
fields.SCSIModel.BUSLOGIC: constants.ADAPTER_TYPE_BUSLOGIC,
fields.SCSIModel.VMPVSCSI: constants.ADAPTER_TYPE_PARAVIRTUAL,
}
if hw_disk_bus == fields.DiskBus.IDE:
props['adapter_type'] = constants.ADAPTER_TYPE_IDE
elif hw_disk_bus == fields.DiskBus.SCSI:
hw_scsi_model = properties.get('hw_scsi_model')
props['adapter_type'] = mapping.get(hw_scsi_model)
props_map = {
'os_distro': 'os_type',
'hw_disk_type': 'disk_type',
'hw_vif_model': 'vif_model'
}
for k, v in six.iteritems(props_map):
if properties.obj_attr_is_set(k):
props[v] = properties.get(k)
return cls(**props)
def modify_directory_list_with_http_info(self, directory_list_id, directory_list, api_version, **kwargs): # noqa: E501
"""Modify a Directory List # noqa: E501
Modify a directory list by ID. Any unset elements will be left unchanged. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.modify_directory_list_with_http_info(directory_list_id, directory_list, api_version, async_req=True)
>>> result = thread.get()
:param async_req bool
:param int directory_list_id: The ID number of the directory list to modify. (required)
:param DirectoryList directory_list: The settings of the directory list to modify. (required)
:param str api_version: The version of the api being called. (required)
:return: DirectoryList
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['directory_list_id', 'directory_list', 'api_version'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method modify_directory_list" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'directory_list_id' is set
if ('directory_list_id' not in params or
params['directory_list_id'] is None):
raise ValueError("Missing the required parameter `directory_list_id` when calling `modify_directory_list`") # noqa: E501
# verify the required parameter 'directory_list' is set
if ('directory_list' not in params or
params['directory_list'] is None):
raise ValueError("Missing the required parameter `directory_list` when calling `modify_directory_list`") # noqa: E501
# verify the required parameter 'api_version' is set
if ('api_version' not in params or
params['api_version'] is None):
raise ValueError("Missing the required parameter `api_version` when calling `modify_directory_list`") # noqa: E501
if 'directory_list_id' in params and not re.search('\\d+', str(params['directory_list_id'])): # noqa: E501
raise ValueError("Invalid value for parameter `directory_list_id` when calling `modify_directory_list`, must conform to the pattern `/\\d+/`") # noqa: E501
collection_formats = {}
path_params = {}
if 'directory_list_id' in params:
path_params['directoryListID'] = params['directory_list_id'] # noqa: E501
query_params = []
header_params = {}
if 'api_version' in params:
header_params['api-version'] = params['api_version'] # noqa: E501
form_params = []
local_var_files = {}
body_params = None
if 'directory_list' in params:
body_params = params['directory_list']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['DefaultAuthentication'] # noqa: E501
return self.api_client.call_api(
'/directorylists/{directoryListID}', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='DirectoryList', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def list_apps_with_http_info(self, **kwargs):
"""
List all apps configured.
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please define a `callback` function
to be invoked when receiving the response.
>>> def callback_function(response):
>>> pprint(response)
>>>
>>> thread = api.list_apps_with_http_info(callback=callback_function)
:param callback function: The callback function
for asynchronous request. (optional)
:param int limit: The number of records to return.
:param int offset: The number of initial records to skip before picking records to return.
:param str service_account_id: The service account ID for which to list apps.
:return: ListAppsResponse
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['limit', 'offset', 'service_account_id']
all_params.append('callback')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method list_apps" % key
)
params[key] = val
del params['kwargs']
collection_formats = {}
path_params = {}
query_params = []
if 'limit' in params:
query_params.append(('limit', params['limit']))
if 'offset' in params:
query_params.append(('offset', params['offset']))
if 'service_account_id' in params:
query_params.append(('serviceAccountId', params['service_account_id']))
header_params = {}
form_params = []
local_var_files = {}
body_params = None
# HTTP header `Accept`
header_params['Accept'] = self.api_client.\
select_header_accept(['application/json'])
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.\
select_header_content_type(['application/json'])
# Authentication setting
auth_settings = ['basicAuth', 'jwt']
return self.api_client.call_api('/v1.1/apps', 'GET',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='ListAppsResponse',
auth_settings=auth_settings,
callback=params.get('callback'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def update(self, current, values=None, force=False):
"""Update progress bar, and print to standard output if `force`
is True, or the last update was completed longer than `interval`
amount of time ago, or `current` >= `target`.
The written output is the progress bar and all unique values.
Args:
current: int.
Index of current step.
values: dict of str to float.
Dict of name by value-for-last-step. The progress bar
will display averages for these values.
force: bool.
Whether to force visual progress update.
"""
if values is None:
values = {}
for k, v in six.iteritems(values):
self.stored_values[k] = v
self.seen_so_far = current
now = time.time()
if (not force and (now - self.last_update) < self.interval
and current < self.target):
return
self.last_update = now
if self.verbose == 0:
return
prev_total_width = self.total_width
sys.stdout.write("\b" * prev_total_width)
sys.stdout.write("\r")
# Write progress bar to stdout.
n_digits = len(str(self.target))
bar = '%%%dd/%%%dd' % (n_digits, n_digits) % (current, self.target)
bar += ' [{0}%]'.format(str(int(current / self.target * 100)).rjust(3))
bar += ' '
prog_width = int(self.width * float(current) / self.target)
if prog_width > 0:
bar += ('█' * prog_width)
bar += (' ' * (self.width - prog_width))
sys.stdout.write(bar)
# Write values to stdout.
if current:
time_per_unit = (now - self.start) / current
else:
time_per_unit = 0
eta = time_per_unit * (self.target - current)
info = ''
if current < self.target:
info += ' ETA: %ds' % eta
else:
info += ' Elapsed: %ds' % (now - self.start)
for k, v in six.iteritems(self.stored_values):
info += ' | {0:s}: {1:0.3f}'.format(k, v)
self.total_width = len(bar) + len(info)
if prev_total_width > self.total_width:
info += ((prev_total_width - self.total_width) * " ")
sys.stdout.write(info)
sys.stdout.flush()
if current >= self.target:
sys.stdout.write("\n")
def search_directory_lists_with_http_info(self, api_version, **kwargs): # noqa: E501
"""Search Directory Lists # noqa: E501
Search for directory lists using optional filters. # noqa: E501
This method makes a synchronous HTTP request by default. To make an
asynchronous HTTP request, please pass async_req=True
>>> thread = api.search_directory_lists_with_http_info(api_version, async_req=True)
>>> result = thread.get()
:param async_req bool
:param str api_version: The version of the api being called. (required)
:param SearchFilter search_filter: A collection of options used to filter the search results.
:return: DirectoryLists
If the method is called asynchronously,
returns the request thread.
"""
all_params = ['api_version', 'search_filter'] # noqa: E501
all_params.append('async_req')
all_params.append('_return_http_data_only')
all_params.append('_preload_content')
all_params.append('_request_timeout')
params = locals()
for key, val in six.iteritems(params['kwargs']):
if key not in all_params:
raise TypeError(
"Got an unexpected keyword argument '%s'"
" to method search_directory_lists" % key
)
params[key] = val
del params['kwargs']
# verify the required parameter 'api_version' is set
if ('api_version' not in params or
params['api_version'] is None):
raise ValueError("Missing the required parameter `api_version` when calling `search_directory_lists`") # noqa: E501
collection_formats = {}
path_params = {}
query_params = []
header_params = {}
if 'api_version' in params:
header_params['api-version'] = params['api_version'] # noqa: E501
form_params = []
local_var_files = {}
body_params = None
if 'search_filter' in params:
body_params = params['search_filter']
# HTTP header `Accept`
header_params['Accept'] = self.api_client.select_header_accept(
['application/json']) # noqa: E501
# HTTP header `Content-Type`
header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501
['application/json']) # noqa: E501
# Authentication setting
auth_settings = ['DefaultAuthentication'] # noqa: E501
return self.api_client.call_api(
'/directorylists/search', 'POST',
path_params,
query_params,
header_params,
body=body_params,
post_params=form_params,
files=local_var_files,
response_type='DirectoryLists', # noqa: E501
auth_settings=auth_settings,
async_req=params.get('async_req'),
_return_http_data_only=params.get('_return_http_data_only'),
_preload_content=params.get('_preload_content', True),
_request_timeout=params.get('_request_timeout'),
collection_formats=collection_formats)
def make_vm(self, nodes, thunks,
input_storage, output_storage, storage_map,
post_thunk_clear,
computed,
compute_map,
updated_vars,
):
pre_call_clear = [storage_map[v] for v in self.no_recycling]
if (self.callback is not None or self.callback_input is not None or
(config.profile and config.profile_memory) or
(self.allow_partial_eval and not self.use_cloop)):
if self.use_cloop and (self.callback is not None or
self.callback_input is not None):
logger.warn('CVM does not support callback, using Stack VM.')
if self.use_cloop and config.profile_memory:
warnings.warn(
'CVM does not support memory profile, using Stack VM.')
if not self.use_cloop and self.allow_partial_eval:
warnings.warn(
'LoopGC does not support partial evaluation, '
'using Stack VM.')
# Needed for allow_gc=True, profiling and storage_map reuse
deps = self.compute_gc_dependencies(storage_map)
vm = Stack(
nodes, thunks, pre_call_clear,
storage_map, compute_map,
self.fgraph, self.allow_gc,
len(updated_vars),
dependencies=deps,
callback=self.callback,
callback_input=self.callback_input)
elif self.use_cloop:
# create a map from nodes to ints and vars to ints
nodes_idx = {}
vars_idx = {}
for i, node in enumerate(nodes):
nodes_idx[node] = i
for v in node.inputs + node.outputs:
vars_idx.setdefault(v, len(vars_idx))
for v in self.fgraph.inputs + self.fgraph.outputs:
vars_idx.setdefault(v, len(vars_idx))
nodes_idx_inv = {}
vars_idx_inv = {}
for (node, i) in iteritems(nodes_idx):
nodes_idx_inv[i] = node
for (var, i) in iteritems(vars_idx):
vars_idx_inv[i] = var
# put storage_map and compute_map into a int-based scheme
storage_map_list = [storage_map[vars_idx_inv[i]]
for i in xrange(len(vars_idx_inv))]
compute_map_list = [compute_map[vars_idx_inv[i]]
for i in xrange(len(vars_idx_inv))]
if nodes:
assert type(storage_map_list[0]) is list
assert type(compute_map_list[0]) is list
# Needed for allow_gc=True, profiling and storage_map reuse
dependency_map = self.compute_gc_dependencies(storage_map)
dependency_map_list = [
[vars_idx[d] for d in dependency_map[vars_idx_inv[i]]]
for i in xrange(len(vars_idx_inv))]
# build the pointers to node inputs and offsets
base_input_output_list = []
node_n_inputs = []
node_n_outputs = []
node_input_offset = []
node_output_offset = []
for node in nodes:
inputs_idx = [vars_idx[v] for v in node.inputs]
outputs_idx = [vars_idx[v] for v in node.outputs]
node_n_inputs.append(len(inputs_idx))
node_n_outputs.append(len(outputs_idx))
node_input_offset.append(len(base_input_output_list))
base_input_output_list.extend(inputs_idx)
node_output_offset.append(len(base_input_output_list))
base_input_output_list.extend(outputs_idx)
# build the var owner array
var_owner = [None] * len(vars_idx)
for (var, i) in iteritems(vars_idx):
if var.owner:
var_owner[i] = nodes_idx[var.owner]
is_lazy_list = [int(th.lazy) for th in thunks]
output_vars = [vars_idx[v] for v in self.fgraph.outputs]
# builds the list of prereqs induced by e.g. destroy_handler
ords = self.fgraph.orderings()
node_prereqs = []
node_output_size = []
for i, node in enumerate(nodes):
node_output_size.append(0)
prereq_var_idxs = []
for prereq_node in ords.get(node, []):
prereq_var_idxs.extend(
[vars_idx[v] for v in prereq_node.outputs])
prereq_var_idxs = list(set(prereq_var_idxs))
prereq_var_idxs.sort() # TODO: why sort?
node_prereqs.append(prereq_var_idxs)
# Builds the list of input storage to update (according to update
# rules) when the outputs are computed.
# They are in the same order as the second part of output_vars
# (output_vars contains first the returned outputs, then the
# values of the update expressions).
update_storage = []
update_in_from_out = {}
for (ivar, ovar) in iteritems(updated_vars):
update_in_from_out[vars_idx[ovar]] = vars_idx[ivar]
for oidx in output_vars:
if oidx in update_in_from_out:
update_storage.append(update_in_from_out[oidx])
c0 = sys.getrefcount(node_n_inputs)
vm = CVM(
nodes,
thunks,
pre_call_clear,
allow_gc=self.allow_gc,
call_counts=[0] * len(nodes),
call_times=[0.0] * len(nodes),
compute_map_list=compute_map_list,
storage_map_list=storage_map_list,
base_input_output_list=base_input_output_list,
node_n_inputs=node_n_inputs,
node_n_outputs=node_n_outputs,
node_input_offset=node_input_offset,
node_output_offset=node_output_offset,
var_owner=var_owner,
is_lazy_list=is_lazy_list,
output_vars=output_vars,
node_prereqs=node_prereqs,
node_output_size=node_output_size,
update_storage=update_storage,
dependencies=dependency_map_list,
)
assert c0 == sys.getrefcount(node_n_inputs)
else:
lazy = self.lazy
if lazy is None:
lazy = config.vm.lazy
if lazy is None:
lazy = not all([(not th.lazy) for th in thunks])
if not lazy:
# there is no conditional in the graph
if self.allow_gc:
vm = LoopGC(
nodes,
thunks,
pre_call_clear,
post_thunk_clear,
)
else:
vm = Loop(
nodes,
thunks,
pre_call_clear,
)
else:
# Needed when allow_gc=True and profiling
deps = self.compute_gc_dependencies(storage_map)
vm = Stack(
nodes, thunks, pre_call_clear,
storage_map, compute_map,
self.fgraph, self.allow_gc,
len(updated_vars),
dependencies=deps,
)
return vm
def __iter__(self):
for key, values in six.iteritems(self.__dict__):
if not key.startswith('_'):
yield key, values
