code stringlengths 51 2.34k | sequence stringlengths 1.16k 13.1k | docstring stringlengths 11 171 |
|---|---|---|
def _param32(ins):
output = _32bit_oper(ins.quad[1])
output.append('push de')
output.append('push hl')
return output | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_param32'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'ins'}; {... | Pushes 32bit param into the stack |
def lang_match_json(row, hdr, accepted_languages):
if not accepted_languages:
return True
languages = set([row[c].get('xml:lang') for c in hdr
if c in row and row[c]['type'] == 'literal'])
return (not languages) or (languages & accepted_languages) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'lang_match_json'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], '... | Find if the JSON row contains acceptable language data |
def removeContinuousSet(self):
self._openRepo()
dataset = self._repo.getDatasetByName(self._args.datasetName)
continuousSet = dataset.getContinuousSetByName(
self._args.continuousSetName)
def func():
self._updateRepo(self._repo.removeContinuousSet,... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'removeContinuousSet'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | Removes a continuous set from this repo |
def sort_top_targets(self, top, orders):
sorted_top = collections.defaultdict(OrderedDict)
for saltenv, targets in six.iteritems(top):
sorted_targets = sorted(targets,
key=lambda target: orders[saltenv][target])
for target in sorted_targets:
so... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort_top_targets'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], ... | Returns the sorted high data from the merged top files |
def parseIBDatetime(s):
if len(s) == 8:
y = int(s[0:4])
m = int(s[4:6])
d = int(s[6:8])
dt = datetime.date(y, m, d)
elif s.isdigit():
dt = datetime.datetime.fromtimestamp(
int(s), datetime.timezone.utc)
else:
dt = datetime.datetime.strptime(s, '%Y%... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'parseIBDatetime'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 's... | Parse string in IB date or datetime format to datetime. |
def add_errors(self, *errors: Union[BaseSchemaError, List[BaseSchemaError]]) -> None:
self.schema_loader.add_errors(*errors) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '20', '22']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'add_errors'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'val... | Adds errors to the error repository in schema loader |
def data_storage_dir(self):
if self._data_storage_dir is None:
self._data_storage_dir = tempfile.mkdtemp(prefix = "openfisca_")
log.warn((
"Intermediate results will be stored on disk in {} in case of memory overflow. "
"You should remove this directory on... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'data_storage_dir'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': '... | Temporary folder used to store intermediate calculation data in case the memory is saturated |
def _init_datastore_v3_stub(self, **stub_kwargs):
task_args = dict(datastore_file=self._data_path)
task_args.update(stub_kwargs)
self.testbed.init_datastore_v3_stub(**task_args) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_init_datastore_v3_stub'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': []... | Initializes the datastore stub using nosegae config magic |
def filter_python_files(files):
"Get all python files from the list of files."
py_files = []
for f in files:
extension = os.path.splitext(f)[-1]
if extension:
if extension == '.py':
py_files.append(f)
elif 'python' in open(f, 'r').readline():
p... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'filter_python_files'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | Get all python files from the list of files. |
def contains(self, url: str):
try:
self.get_one(url)
except NotFound:
return False
else:
return True | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'contains'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'sel... | Return whether the URL is in the table. |
def generate_corpus(n_issuers,
n_tracks_per_issuer,
n_utts_per_track,
n_ll_per_utt,
n_label_per_ll,
rand=None):
corpus = audiomate.Corpus()
for issuer in generate_issuers(n_issuers, rand):
corpus.import_i... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '12']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'generate_corpus'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '8', '9']}; {'id': '4', 'type': 'identifier', '... | Generate a corpus with mock data. |
def example_lab_to_ipt():
print("=== Simple Example: XYZ->IPT ===")
xyz = XYZColor(0.5, 0.5, 0.5, illuminant='d65')
print(xyz)
ipt = convert_color(xyz, IPTColor)
print(ipt)
print("=== End Example ===\n") | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '4']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'example_lab_to_ipt'}; {'id': '3', 'type': 'parameters', 'children': []}; {'id': '4', 'type': 'block', 'children': ['5', '10', '22', '2... | This function shows a simple conversion of an XYZ color to an IPT color. |
def verify_token_type(self):
try:
token_type = self.payload[api_settings.TOKEN_TYPE_CLAIM]
except KeyError:
raise TokenError(_('Token has no type'))
if self.token_type != token_type:
raise TokenError(_('Token has wrong type')) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'verify_token_type'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': ... | Ensures that the token type claim is present and has the correct value. |
def idat(self, lenient=False):
while True:
try:
chunk_type, data = self.chunk(lenient=lenient)
except ValueError:
e = sys.exc_info()[1]
raise ChunkError(e.args[0])
if chunk_type == 'IEND':
break
if ch... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'idat'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'};... | Iterator that yields all the ``IDAT`` chunks as strings. |
def _do_layout(self):
sizer_csvoptions = wx.FlexGridSizer(5, 4, 5, 5)
leftpos = wx.LEFT | wx.ADJUST_MINSIZE
rightpos = wx.RIGHT | wx.EXPAND
current_label_margin = 0
other_label_margin = 15
for label, widget in zip(self.param_labels, self.param_widgets):
sizer_... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_do_layout'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}... | Sizer hell, returns a sizer that contains all widgets |
def _process_rule(self, rule: dict, context: dict):
if not rule or not self._shall_proceed(rule):
return
self.context.update(context)
self.context.update(rule.get('context', {}))
self.path = rule.get('path', None)
self.source = rule.get('source', None)
for ent... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '13']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_process_rule'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '9']}; {'id': '4', 'type': 'identifier', 'children': [], 'v... | process a single rule |
def create_multi(cls, jid, password, msg, recipients=None, rooms=None,
nick="SaltStack Bot"):
obj = SendMsgBot(jid, password, None, msg)
obj.recipients = [] if recipients is None else recipients
obj.rooms = [] if rooms is None else rooms
obj.nick = nick
retur... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '17']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'create_multi'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '8', '11', '14']}; {'id': '4', 'type': 'identifier... | Alternate constructor that accept multiple recipients and rooms |
def username(self):
if len(self._inp_username.value.strip()) == 0:
if not self.hostname is None:
config = parse_sshconfig(self.hostname)
if 'user' in config:
return config['user']
else:
return None
else:
... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'username'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}; ... | Loking for username in user's input and config file |
def handle(self, *args, **options):
qs = get_subscriber_model().objects.filter(djstripe_customers__isnull=True)
count = 0
total = qs.count()
for subscriber in qs:
count += 1
perc = int(round(100 * (float(count) / float(total))))
print(
"[{0}/{1} {2}%] Syncing {3} [{4}]".format(
count, total, p... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'handle'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '7']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': '... | Call sync_subscriber on Subscribers without customers associated to them. |
def add_row(self, row_data, resize_x=True):
if not resize_x:
self._check_row_size(row_data)
self.body(Tr()(Td()(cell) for cell in row_data))
return self | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'add_row'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': ... | Adds a row at the end of the table |
def combine_tax_scales(node):
combined_tax_scales = None
for child_name in node:
child = node[child_name]
if not isinstance(child, AbstractTaxScale):
log.info('Skipping {} with value {} because it is not a tax scale'.format(child_name, child))
continue
if combined... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'combine_tax_scales'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value':... | Combine all the MarginalRateTaxScales in the node into a single MarginalRateTaxScale. |
def gevent_start(self):
import gevent
import gevent.select
self._poller_greenlet = gevent.spawn(self.poll)
self._select = gevent.select.select
self.heartbeat()
self.update() | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'gevent_start'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self... | Helper method to start the node for gevent-based applications. |
def by_id(cls, _id, engine_or_session):
ses, auto_close = ensure_session(engine_or_session)
obj = ses.query(cls).get(_id)
if auto_close:
ses.close()
return obj | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'by_id'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'c... | Get one object by primary_key value. |
async def prepare_conn(self, conn):
client_id = str(uuid.uuid4())
monitor = functools.partial(self.send_event, client_id)
self._logger.info("New client connection: %s", client_id)
self.service_manager.add_monitor(monitor)
self.clients[client_id] = dict(connection=conn, monitor=mo... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'prepare_conn'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': ... | Setup a new connection from a client. |
def filter(self, f):
def func(iterator):
return filter(f, iterator)
return self.mapPartitions(func, True) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'filter'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'... | Return a new DStream containing only the elements that satisfy predicate. |
def dom_table(self):
if self._dom_table is None:
data = defaultdict(list)
for dom_id, (du, floor, _) in self.doms.items():
data['dom_id'].append(dom_id)
data['du'].append(du)
data['floor'].append(floor)
dom_position = self.d... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'dom_table'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'};... | A `Table` containing DOM attributes |
def parse_options(cls, options):
cls.ignore_decorators = options.ignore_decorators
cls.exclude_from_doctest = options.exclude_from_doctest
if not isinstance(cls.exclude_from_doctest, list):
cls.exclude_from_doctest = [cls.exclude_from_doctest] | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'parse_options'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value':... | Pass options through to this plugin. |
def _get_addresses(self, text):
addresses = []
matches = utils.findall(
self.rules,
text,
flags=re.VERBOSE | re.U)
if(matches):
for match in matches:
addresses.append(match[0].strip())
return addresses | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_get_addresses'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | Returns a list of addresses found in text |
def regex(r):
if isinstance(r, stringtypes):
p = re.compile(r)
else:
p = r
msg = 'Expected to match: {}'.format(p.pattern)
def match_regex(s, grm=None, pos=0):
m = p.match(s)
if m is not None:
start, end = m.span()
data = m.groupdict() if p.groupin... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'regex'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'r'}; {'id':... | Create a PEG function to match a regular expression. |
def deactivate_version(self, service_id, version_number):
content = self._fetch("/service/%s/version/%d/deactivate" % (service_id, version_number), method="PUT")
return FastlyVersion(self, content) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'deactivate_version'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': []... | Deactivate the current version. |
def output(self, msg, indent, status=None):
color = None
if self.use_color:
color = get_color_from_status(status)
print_indent_msg(msg, indent, color) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '10']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'output'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7']}; {'id': '4', 'type': 'identifier', 'children': [], 'val... | Alias for print_indent_msg with color determined by status. |
def repackage_hidden(self, h):
if isinstance(h, Variable):
return torch.tensor(h.data, device=h.device)
else:
return tuple(self.repackage_hidden(v) for v in h) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'repackage_hidden'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'valu... | Wraps hidden states in new Variables, to detach them from their history. |
def walletpassphrase(self, passphrase, timeout=99999999, mint_only=True):
return self.req("walletpassphrase", [passphrase, timeout, mint_only]) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '12']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'walletpassphrase'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9']}; {'id': '4', 'type': 'identifier', 'children'... | used to unlock wallet for minting |
def revoke_api_key():
build = g.build
form = forms.RevokeApiKeyForm()
if form.validate_on_submit():
api_key = models.ApiKey.query.get(form.id.data)
if api_key.build_id != build.id:
logging.debug('User does not have access to API key=%r',
api_key.id)
... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '4']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'revoke_api_key'}; {'id': '3', 'type': 'parameters', 'children': []}; {'id': '4', 'type': 'block', 'children': ['5', '11', '19', '123']... | Form submission handler for revoking API keys. |
def _updateNamespace(item, new_namespace):
temp_item = ''
i = item.tag.find('}')
if i >= 0:
temp_item = item.tag[i+1:]
else:
temp_item = item.tag
item.tag = '{{{0}}}{1}'.format(new_namespace, temp_item)
for child in item.getiterator():
if isinstance(child.tag, six.string_... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_updateNamespace'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'valu... | helper function to recursively update the namespaces of an item |
def create_image(self, image_file, caption):
suffix = 'png'
if image_file:
img = Image.open(os.path.join(self.gallery, image_file))
width, height = img.size
ratio = width/WIDTH
img = img.resize((int(width // ratio),
int(height... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'create_image'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'val... | Create an image with a caption |
def _skip_frame(self):
for line in self._f:
if line == 'ITEM: ATOMS\n':
break
for i in range(self.num_atoms):
next(self._f) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_skip_frame'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'... | Skip the next time frame |
def to_nibabel(image):
if image.dimension != 3:
raise ValueError('Only 3D images currently supported')
import nibabel as nib
array_data = image.numpy()
affine = np.hstack([image.direction*np.diag(image.spacing),np.array(image.origin).reshape(3,1)])
affine = np.vstack([affine, np.array([0,0,0... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'to_nibabel'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'image'... | Convert an ANTsImage to a Nibabel image |
def to_xml(self):
ret = '<exif>'
for k in self.__dict__:
ret += '<%s>%s</%s>' % (k, self.__dict__[k], k)
ret += '</exif>'
return ret | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'to_xml'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}; {'... | Serialize all properties as XML |
def handle_dump(self, params):
print("Clients:", self.server.clients)
for client in self.server.clients.values():
print(" ", client)
for channel in client.channels.values():
print(" ", channel.name)
print("Channels:", self.server.channels)
for ... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'handle_dump'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': '... | Dump internal server information for debugging purposes. |
def add_size_info (self):
if self.headers and "Content-Length" in self.headers and \
"Transfer-Encoding" not in self.headers:
try:
self.size = int(self.getheader("Content-Length"))
except (ValueError, OverflowError):
pass
else:
... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'add_size_info'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'sel... | Get size of URL content from HTTP header. |
def evict(self):
logging.debug('Evicting cache for %r', self.cache_key)
_clear_version_cache(self.cache_key)
self.versioned_cache_key = None | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'evict'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}; {'i... | Evict all caches related to these operations. |
def removeNotification(self, notificationId):
fn = self.function_table.removeNotification
result = fn(notificationId)
return result | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'removeNotification'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'va... | Destroy a notification, hiding it first if it currently shown to the user. |
def _exists(self, path):
if path.endswith('/'):
return True
return self.storage.exists(path) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_exists'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self... | S3 directory is not S3Ojbect. |
def include_theme_files(self, fragment):
theme = self.get_theme()
if not theme or 'package' not in theme:
return
theme_package, theme_files = theme.get('package', None), theme.get('locations', [])
resource_loader = ResourceLoader(theme_package)
for theme_file in theme... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'include_theme_files'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'v... | Gets theme configuration and renders theme css into fragment |
async def fetch_device_list(self):
url = '{}/users/me'.format(API_URL)
dlist = await self.api_get(url)
if dlist is None:
_LOGGER.error('Unable to fetch eight devices.')
else:
self._devices = dlist['user']['devices']
_LOGGER.debug('Devices: %s', self._d... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'fetch_device_list'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': ... | Fetch list of devices. |
def verify_integrity(self):
if not self.__integrity_check:
if not self.__appid:
raise Exception('U2F_APPID was not defined! Please define it in configuration file.')
if self.__facets_enabled and not len(self.__facets_list):
raise Exception(
)
u... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'verify_integrity'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': '... | Verifies that all required functions been injected. |
def add_child(self, child, name=None, index=None):
self.m1.add_child(child, name, index)
if index is None:
index = len(self.m2._children)
self.children_for_m2.append((child, name, index)) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '12']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'add_child'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9']}; {'id': '4', 'type': 'identifier', 'children': [], '... | Add object `child` to the first map and store it for the second. |
def add_adjust(self, data, prehashed=False):
subtrees = self._get_whole_subtrees()
new_node = Node(data, prehashed=prehashed)
self.leaves.append(new_node)
for node in reversed(subtrees):
new_parent = Node(node.val + new_node.val)
node.p, new_node.p = new_parent, n... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'add_adjust'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'value... | Add a new leaf, and adjust the tree, without rebuilding the whole thing. |
def append(self, data):
for k in self._entries.keys():
self._entries[k].append(data._entries[k]) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'append'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'... | Append a Data instance to self |
def extract_status_code(error):
try:
return int(error.code)
except (AttributeError, TypeError, ValueError):
try:
return int(error.status_code)
except (AttributeError, TypeError, ValueError):
try:
return int(error.errno)
except (Attribut... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'extract_status_code'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | Extract an error code from a message. |
def init_nvidia(self):
if import_error_tag:
self.nvml_ready = False
try:
pynvml.nvmlInit()
self.device_handles = get_device_handles()
self.nvml_ready = True
except Exception:
logger.debug("pynvml could not be initialized.")
... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'init_nvidia'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'... | Init the NVIDIA API. |
def action_spatial(self, action):
if self.surf.surf_type & SurfType.FEATURE:
return action.action_feature_layer
elif self.surf.surf_type & SurfType.RGB:
return action.action_render
else:
assert self.surf.surf_type & (SurfType.RGB | SurfType.FEATURE) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'action_spatial'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | Given an Action, return the right spatial action. |
def transpose(self, rows):
res = OrderedDict()
for row, cols in rows.items():
for col, cell in cols.items():
if col not in res:
res[col] = OrderedDict()
res[col][row] = cell
return res | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'transpose'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'se... | Transposes the grid to allow for cols |
def _postprocess_variants(record_file, data, ref_file, out_file):
if not utils.file_uptodate(out_file, record_file):
with file_transaction(data, out_file) as tx_out_file:
cmd = ["dv_postprocess_variants.py", "--ref", ref_file,
"--infile", record_file, "--outfile", tx_out_file]... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_postprocess_variants'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7']}; {'id': '4', 'type': 'identifier', 'child... | Post-process variants, converting into standard VCF file. |
def track_list(self,*args):
noargs = len(args) == 0
return np.unique(self.track) if noargs else np.unique(self.track.compress(args[0])) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'track_list'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 's... | return the list of tracks contained if the dataset |
def signed_cell_areas(self):
assert (
self.node_coords.shape[1] == 2
), "Signed areas only make sense for triangles in 2D."
if self._signed_cell_areas is None:
p = self.node_coords[self.cells["nodes"]].T
self._signed_cell_areas = (
+p[0][2] * (... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'signed_cell_areas'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': ... | Signed area of a triangle in 2D. |
def _apply_mask(self, roi_mask):
rows_to_delete = list()
if isinstance(roi_mask,
np.ndarray):
self._set_roi_mask(roi_mask)
rows_roi = np.where(self.roi_mask.flatten() == cfg.background_value)
self.carpet = np.delete(self.carpet, rows_roi, axis=0)... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_apply_mask'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': '... | Removes voxels outside the given mask or ROI set. |
def _next_job(self):
if self.__job_queue:
job = self.__job_queue.pop()
job.process() | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_next_job'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'};... | execute the next job from the top of the queue |
def to_xdr_object(self):
return Xdr.types.Memo(type=Xdr.const.MEMO_ID, id=self.memo_id) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'to_xdr_object'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'sel... | Creates an XDR Memo object for a transaction with MEMO_ID. |
def calculate_dimensions(self):
x_coordinates = np.sort(self.grid['x'][:, 0])
self.nr_nodes_z = np.where(x_coordinates == x_coordinates[0])[0].size
self.nr_elements_x = self.elements.shape[0] / (self.nr_nodes_z - 1)
self.nr_nodes_x = self.nr_elements_x + 1
self.nr_elements_z = se... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'calculate_dimensions'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value... | For a regular grid, calculate the element and node dimensions |
def datapoint_indices_for_tensor(self, tensor_index):
if tensor_index >= self._num_tensors:
raise ValueError('Tensor index %d is greater than the number of tensors (%d)' %(tensor_index, self._num_tensors))
return self._file_num_to_indices[tensor_index] | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'datapoint_indices_for_tensor'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children... | Returns the indices for all datapoints in the given tensor. |
def type_last(self, obj: JsonObj) -> JsonObj:
def _tl_list(v: List) -> List:
return [self.type_last(e) if isinstance(e, JsonObj)
else _tl_list(e) if isinstance(e, list) else e for e in v if e is not None]
rval = JsonObj()
for k in as_dict(obj).keys(... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9', '11']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'type_last'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value... | Move the type identifiers to the end of the object for print purposes |
def write_training_metrics(self):
with open(self.path, 'w') as file:
writer = csv.writer(file)
writer.writerow(FIELD_NAMES)
for row in self.rows:
writer.writerow(row) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'write_training_metrics'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'val... | Write Training Metrics to CSV |
def chown(dirs, user=None, group=None):
if isinstance(dirs, basestring):
dirs = [dirs]
args = ' '.join(dirs)
if user and group:
return sudo('chown {}:{} {}'.format(user, group, args))
elif user:
return sudo('chown {} {}'.format(user, args))
elif group:
return sudo('ch... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '11']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'chown'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': '... | User sudo to set user and group ownership |
def window_open(dev, temp, duration):
click.echo("Window open: %s" % dev.window_open)
if temp and duration:
click.echo("Setting window open conf, temp: %s duration: %s" % (temp, duration))
dev.window_open_config(temp, duration) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'window_open'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'valu... | Gets and sets the window open settings. |
def reset_status(self):
for row in range(self.table.rowCount()):
status_item = self.table.item(row, 1)
status_item.setText(self.tr('')) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'reset_status'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self... | Set all scenarios' status to empty in the table. |
def parsemsg(s):
prefix = ''
trailing = []
if not s:
raise Exception("Empty line.")
if s[0] == ':':
prefix, s = s[1:].split(' ', 1)
if s.find(' :') != -1:
s, trailing = s.split(' :', 1)
args = s.split()
args.append(trailing)
else:
args =... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'parsemsg'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 's'}; {'i... | Breaks a message from an IRC server into its prefix, command, and arguments. |
def reach_process_json():
if request.method == 'OPTIONS':
return {}
response = request.body.read().decode('utf-8')
body = json.loads(response)
json_str = body.get('json')
rp = reach.process_json_str(json_str)
return _stmts_from_proc(rp) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '4']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'reach_process_json'}; {'id': '3', 'type': 'parameters', 'children': []}; {'id': '4', 'type': 'block', 'children': ['5', '14', '29', '3... | Process REACH json and return INDRA Statements. |
def resolved_task(cls, task):
for t in cls.tasks:
if t is task or t.execute is task:
return t | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'resolved_task'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value':... | Task instance representing 'task', if any |
def compute_agreement_score(num_matches, num1, num2):
denom = num1 + num2 - num_matches
if denom == 0:
return 0
return num_matches / denom | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'compute_agreement_score'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children... | Agreement score is used as a criteria to match unit1 and unit2. |
def generate(engine, database, models, **kwargs):
validate_args(engine, database, models)
generator = Generator(engine, database, models)
generator.run() | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'generate'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7']}; {'id': '4', 'type': 'identifier', 'children': [], 'va... | Generate the migrations by introspecting the db |
def mode(dev, target):
click.echo("Current mode: %s" % dev.mode_readable)
if target:
click.echo("Setting mode: %s" % target)
dev.mode = target | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'mode'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'dev'}; ... | Gets or sets the active mode. |
def rebuild_app(app_name, quiet=False, force=True, without_exec=False,
restart=False):
user = 'cozy-{app_name}'.format(app_name=app_name)
home = '{prefix}/{app_name}'.format(prefix=PREFIX, app_name=app_name)
command_line = 'cd {home}'.format(home=home)
command_line += ' && git pull'
... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '17']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'rebuild_app'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14']}; {'id': '4', 'type': 'identifier', 'childre... | Rebuild cozy apps with deletion of npm directory & new npm build |
def make_statistics_information(info):
if not info.splits.total_num_examples:
return "None computed"
stats = [(info.splits.total_num_examples, "ALL")]
for split_name, split_info in info.splits.items():
stats.append((split_info.num_examples, split_name.upper()))
stats.sort(reverse=True)
stats = "\n".jo... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'make_statistics_information'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [],... | Make statistics information table. |
def run_fba_minimized(self, reaction):
epsilon = self._args.epsilon
solver = self._get_solver()
p = fluxanalysis.FluxBalanceProblem(self._mm, solver)
start_time = time.time()
try:
p.maximize(reaction)
except fluxanalysis.FluxBalanceError as e:
self... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'run_fba_minimized'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'val... | Run normal FBA and flux minimization on model. |
def _connect(cls):
post_save.connect(
notify_items, sender=cls,
dispatch_uid='knocker_{0}'.format(cls.__name__)
) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_connect'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'cls'}; {... | Connect signal to current model |
def runRmFile(self, path, timeout=None, **kwargs):
cmd_args = {'path': path, 'logEnviron': self.logEnviron}
if timeout:
cmd_args['timeout'] = timeout
if self.workerVersionIsOlderThan('rmfile', '3.1'):
cmd_args['dir'] = os.path.abspath(path)
return self.runRemo... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '11']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'runRmFile'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9']}; {'id': '4', 'type': 'identifier', 'children': [], '... | remove a file from the worker |
def sort(line):
x0, y0, x1, y1 = line
turn = False
if abs(x1 - x0) > abs(y1 - y0):
if x1 < x0:
turn = True
elif y1 < y0:
turn = True
if turn:
return (x1, y1, x0, y0)
return line | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'sort'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'line'}; {'id... | change point position if x1,y0 < x0,y0 |
def load_config(options):
global opts, pform
opts = options
pform = options.pform
global_ns = globals()
if pform.hicolor:
global_ns['dim_templ'] = ansi.dim8t
global_ns['swap_clr_templ'] = ansi.csi8_blk % ansi.blu8
else:
global_ns['dim_templ'] = ansi.dim4t
global_n... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'load_config'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'optio... | Load options, platform, colors, and icons. |
def _download_py2(link, path, __hdr__):
try:
req = urllib2.Request(link, headers=__hdr__)
u = urllib2.urlopen(req)
except Exception as e:
raise Exception(' Download failed with the error:\n{}'.format(e))
with open(path, 'wb') as outf:
for l in u:
outf.write(l)
... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_download_py2'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'va... | Download a file from a link in Python 2. |
def process_objects(kls):
if 'Meta' not in kls.__dict__:
kls.Meta = type('Meta', (object,), {})
if 'unique_together' not in kls.Meta.__dict__:
kls.Meta.unique_together = []
if 'verbose_name' not in kls.Meta.__dict__:
kls.Meta.verbose_name = kls.__name__
... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'process_objects'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'k... | Applies default Meta properties. |
def add_automation_link(testcase):
automation_link = (
'<a href="{}">Test Source</a>'.format(testcase["automation_script"])
if testcase.get("automation_script")
else ""
)
testcase["description"] = "{}<br/>{}".format(testcase.get("description") or "", automation_link) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'add_automation_link'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | Appends link to automation script to the test description. |
def prettyprint(datastr):
maxwidth = WPToolsQuery.MAXWIDTH
rpad = WPToolsQuery.RPAD
extent = maxwidth - (rpad + 2)
for line in datastr:
if len(line) >= maxwidth:
line = line[:extent] + '...'
utils.stderr(line) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'prettyprint'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'datas... | Print page data strings to stderr |
def bulk_add_units(unit_list, **kwargs):
added_units = []
for unit in unit_list:
added_units.append(add_unit(unit, **kwargs))
return JSONObject({"units": added_units}) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'bulk_add_units'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'... | Save all the units contained in the passed list, with the name of their dimension. |
def daterange_(self, datecol, date_start, op, **args):
df = self._daterange(datecol, date_start, op, **args)
if df is None:
self.err("Can not select date range data")
return self._duplicate_(df) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '10']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'daterange_'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '8']}; {'id': '4', 'type': 'identifier', 'children':... | Returns a DataSwim instance with rows in a date range |
def up(force=True, env=None, **kwargs):
"Starts a new experiment"
inventory = os.path.join(os.getcwd(), "hosts")
conf = Configuration.from_dictionnary(provider_conf)
provider = Enos_vagrant(conf)
roles, networks = provider.init()
check_networks(roles, networks)
env["roles"] = roles
env["... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '12']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'up'}; {'id': '3', 'type': 'parameters', 'children': ['4', '7', '10']}; {'id': '4', 'type': 'default_parameter', 'children': ['5', '6'... | Starts a new experiment |
def broadcast_status(self, status):
self._broadcast(
"transient.status",
json.dumps(status),
headers={"expires": str(int((15 + time.time()) * 1000))},
) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'broadcast_status'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'valu... | Broadcast transient status information to all listeners |
def convert_to_unit(self, unit):
self._values = self._header.data_type.to_unit(
self._values, unit, self._header.unit)
self._header._unit = unit | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'convert_to_unit'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value... | Convert the Data Collection to the input unit. |
def hash(value):
if not value:
return
elif len(value) == 32:
type = 'md5'
elif len(value) == 40:
type = 'sha1'
elif len(value) == 64:
type = 'sha256'
else:
return None
return {'type': type, 'value': value} | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'hash'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'value'}; {'i... | Detect an hash type |
def items(self):
query = self.get_queryset()
fields = self.get_model_config().get_list_fields()
for item in query.iterator():
row = OrderedDict()
for field_name in self.get_current_fields():
field = fields.get(field_name)
if not field_name:... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'items'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}; {'i... | Get all list items |
def visit_Num(self, node: AST, dfltChaining: bool = True) -> str:
return str(node.n) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '14', '16']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'visit_Num'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '9']}; {'id': '4', 'type': 'identifier', 'children': [], ... | Return `node`s number as string. |
def Operate(self, values):
for val in values:
try:
if self.Operation(val, self.right_operand):
return True
except (TypeError, ValueError):
pass
return False | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'Operate'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self... | Takes a list of values and if at least one matches, returns True. |
def import_from_dict(session, data, sync=[]):
if isinstance(data, dict):
logging.info('Importing %d %s',
len(data.get(DATABASES_KEY, [])),
DATABASES_KEY)
for database in data.get(DATABASES_KEY, []):
Database.import_from_dict(session, database, sy... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'import_from_dict'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], ... | Imports databases and druid clusters from dictionary |
def object_version_choices(obj):
choices = BLANK_CHOICE_DASH + [(PublishAction.UNPUBLISH_CHOICE, 'Unpublish current version')]
if obj is not None:
saved_versions = Version.objects.filter(
content_type=ContentType.objects.get_for_model(obj),
object_id=obj.pk,
).exclude(
... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'object_version_choices'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'val... | Return a list of form choices for versions of this object which can be published. |
def analysis_title_header_element(feature, parent):
_ = feature, parent
header = analysis_title_header['string_format']
return header.capitalize() | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'analysis_title_header_element'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'childre... | Retrieve analysis title header string from definitions. |
def save(self, commit=True, **kwargs):
org = super(OrganizationForm, self).save(commit=False, **kwargs)
if not org.id:
user = current_user._get_current_object()
member = Member(user=user, role='admin')
org.members.append(member)
if commit:
org.save... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '10']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'save'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 's... | Register the current user as admin on creation |
def fastaWrite(fileHandleOrFile, name, seq, mode="w"):
fileHandle = _getFileHandle(fileHandleOrFile, mode)
valid_chars = {x for x in string.ascii_letters + "-"}
try:
assert any([isinstance(seq, unicode), isinstance(seq, str)])
except AssertionError:
raise RuntimeError("Sequence is not un... | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '10']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'fastaWrite'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7']}; {'id': '4', 'type': 'identifier', 'children': [], ... | Writes out fasta file |
def requeue(self):
job_requeue_interval = float(
self.config.get('sharq', 'job_requeue_interval'))
while True:
self.sq.requeue()
gevent.sleep(job_requeue_interval / 1000.00) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'requeue'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}; {... | Loop endlessly and requeue expired jobs. |
def render(file):
with file.open() as fp:
encoding = detect_encoding(fp, default='utf-8')
file_content = fp.read().decode(encoding)
json_data = json.loads(file_content, object_pairs_hook=OrderedDict)
return json.dumps(json_data, indent=4, separators=(',', ': ')) | {'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'render'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'file'}; {'... | Pretty print the JSON file for rendering. |
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