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def request(self, method, url, params=None, **aio_kwargs): oparams = { 'oauth_consumer_key': self.consumer_key, 'oauth_nonce': sha1(str(RANDOM()).encode('ascii')).hexdigest(), 'oauth_signature_method': self.signature.name, 'oauth_timestamp': str(int(time.time())),...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '12']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'request'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '10']}; {'id': '4', 'type': 'identifier', 'children': [...
Make a request to provider.
def class_from_string(name): module_name, class_name = name.rsplit('.', 1) __import__(module_name) module = sys.modules[module_name] return getattr(module, class_name)
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Get a python class object from its name
def _collect_headers(self): res = [] for prop in self.get_sorted_columns(): main_infos = self._get_prop_infos(prop) if self._is_excluded(prop, main_infos): continue if isinstance(prop, RelationshipProperty): main_infos = self._collect_r...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_collect_headers'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': '...
Collect headers from the models attribute info col
def start_stream(self, stream_type, **stream_parameters): if stream_type: self.subscribe(stream_type, **stream_parameters) else: self.handle_error("You need to set a stream type")
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Starts new stream for given type with given parameters
def save_state(self): set_setting('lastSourceDir', self.source_directory.text()) set_setting('lastOutputDir', self.output_directory.text()) set_setting( 'useDefaultOutputDir', self.scenario_directory_radio.isChecked())
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'save_state'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}...
Save current state of GUI to configuration file.
def xmlns(source): namespaces = {} events=("end", "start-ns", "end-ns") for (event, elem) in iterparse(source, events): if event == "start-ns": prefix, ns = elem namespaces[prefix] = ns elif event == "end": break if hasattr(source, "seek"): sou...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'xmlns'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'source'}; {...
Returns a map of prefix to namespace for the given XML file.
def new(cls, package): partname = package.next_partname("/word/header%d.xml") content_type = CT.WML_HEADER element = parse_xml(cls._default_header_xml()) return cls(partname, content_type, element, package)
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Return newly created header part.
def _send_invitation(self, enrollment, event): self.log('Sending enrollment status mail to user') self._send_mail(self.config.invitation_subject, self.config.invitation_mail, enrollment, event)
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Send an invitation mail to an open enrolment
def do_step(self, args): self._do_print_from_last_cmd = True self._interp.step_into() return True
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Step INTO the next statement
def ping_entry(self, entry): entry_url = '%s%s' % (self.ressources.site_url, entry.get_absolute_url()) categories = '|'.join([c.title for c in entry.categories.all()]) try: reply = self.server.weblogUpdates.extendedPing( self.ressources.c...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'ping_entry'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 's...
Ping an entry to a directory.
def clear_to_reset(self, config_vars): super(TileManagerState, self).clear_to_reset(config_vars) self.registered_tiles = self.registered_tiles[:1] self.safe_mode = False self.debug_mode = False
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Clear to the state immediately after a reset.
def check_image_file_header(filename): with tf.gfile.Open(filename, 'rb') as f: magic = read32(f) read32(f) rows = read32(f) cols = read32(f) if magic != 2051: raise ValueError('Invalid magic number %d in MNIST file %s' % (magic, ...
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Validate that filename corresponds to images for the MNIST dataset.
def _add_intent_interactive(self, intent_num=0): print ("Name of intent number : ", intent_num) slot_type_mappings = load_builtin_slots() intent_name = read_from_user(str) print ("How many slots?") num_slots = read_from_user(int) slot_list = [] for...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_add_intent_interactive'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': []...
Interactively add a new intent to the intent schema object
def _iter_backtrack(ex, rand=False): if ex is One: yield dict() elif ex is not Zero: if rand: v = random.choice(ex.inputs) if rand else ex.top else: v = ex.top points = [{v: 0}, {v: 1}] if rand: random.shuffle(points) for point ...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_iter_backtrack'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value...
Iterate through all satisfying points using backtrack algorithm.
def process_object(obj): "Hook to process the object currently being displayed." invalid_options = OptsMagic.process_element(obj) if invalid_options: return invalid_options OutputMagic.info(obj)
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'process_object'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'ob...
Hook to process the object currently being displayed.
def __get_file(self, file): file_object = None if file['name'] in request.files: file_object = request.files[file['name']] clean_filename = secure_filename(file_object.filename) if clean_filename == '': return file_object if file_obj...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '__get_file'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 's...
Get request file and do a security check
def _adjust_width(self): if self.bar_width > self.max_iter: self.bar_width = int(self.max_iter)
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_adjust_width'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'sel...
Shrinks bar if number of iterations is less than the bar width
def pong_received(self, payload=None): if self._timer is not None: self._timer.cancel() self._failures = 0 asyncio.async(self.send_ping(payload=payload))
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'pong_received'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value':...
Called when a pong is received. So the timer is cancelled
def evaluate_binop_math(self, operation, left, right, **kwargs): if not operation in self.binops_math: raise ValueError("Invalid math binary operation '{}'".format(operation)) if left is None or right is None: return None if not isinstance(left, (list, ListIP)): ...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '10']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'evaluate_binop_math'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '8']}; {'id': '4', 'type': 'identifier', 'c...
Evaluate given mathematical binary operation with given operands.
def validate_headers(self): super().validate() self.validate_header(self.channeldir, self.channelinfo, CHANNEL_INFO_HEADER) self.validate_header(self.channeldir, self.contentinfo, CONTENT_INFO_HEADER) if self.has_exercises(): self.validate_header(self.channeldir, self.exercis...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'validate_headers'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': '...
Check if CSV metadata files have the right format.
def find_tasks(self, overrides): tasks = self.default_tasks() configuration = self.collector.configuration for image in list(configuration["images"].keys()): path = configuration.path(["images", image, "tasks"], joined="images.{0}.tasks".format(image)) nxt = configuration...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'find_tasks'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 's...
Find the custom tasks and record the associated image with each task
def copy(self, klass=_x): chain = super().copy() new_chain = klass(chain._args[0]) new_chain._tokens = [[ chain.compose, [], {}, ]] return new_chain
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'copy'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'};...
A new chain beginning with the current chain tokens and argument.
def delete(self): resp = self.r_session.delete(self.database_url) resp.raise_for_status()
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Deletes the current database from the remote instance.
def setup(self, *args, **kwargs): if self.comp is None: self.comp = Compiler(*args, **kwargs) else: self.comp.setup(*args, **kwargs)
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'setup'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '7']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 's...
Set parameters for the compiler.
def url(self): return reverse('archives:thread_view', args=[self.mailinglist.name, self.thread.subject_token])
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'url'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}; {'id'...
Shortcut to get thread url
def verify(opts): resources = _load(opts.resources, opts.output_dir) if opts.all: opts.resource_names = ALL invalid = _invalid(resources, opts.resource_names) if not invalid: if not opts.quiet: print("All resources successfully downloaded") return 0 else: ...
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Verify that one or more resources were downloaded successfully.
def scan(self): found = [] for addr in range(0,0x80): try: self._i2c_bus.read_byte(addr) except OSError: continue found.append(addr) return found
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Try to read a byte from each address, if you get an OSError it means the device isnt there
def estimate_band_connection(prev_eigvecs, eigvecs, prev_band_order): metric = np.abs(np.dot(prev_eigvecs.conjugate().T, eigvecs)) connection_order = [] for overlaps in metric: maxval = 0 for i in reversed(range(len(metric))): val = overlaps[i] if i in connection_orde...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'estimate_band_connection'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'childre...
A function to order the phonon eigenvectors taken from phonopy
def download_seq_file(self, outdir, force_rerun=False): uniprot_fasta_file = download_uniprot_file(uniprot_id=self.id, filetype='fasta', outdir=outdir, force_r...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'download_seq_file'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [],...
Download and load the UniProt FASTA file
def _text_image(page): img = None alt = page.data.get('label') or page.data.get('title') source = _image(page) if source: img = "![%s](%s)" % (alt, source) return img
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returns text image URL
def append_vobject(self, ical, filename=None): if not filename: filename = self._filename elif filename not in self._reminders: return with self._lock: outdat = self.to_reminders(ical) open(filename, 'a').write(outdat) return Remind._get_ui...
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Append a Remind command generated from the iCalendar to the file
def log_config(verbose=1): if verbose == 0: level = logging.WARNING fmt = "%(module)s: %(message)s" elif verbose == 1: level = logging.INFO fmt = "%(module)s [@%(lineno)s]: %(message)s" else: level = logging.DEBUG fmt = "%(module)s [%(lineno)s]: %(levelname)s:...
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Set up logging the way I like it.
def pending(): upgrader = InvenioUpgrader() logger = upgrader.get_logger() try: upgrades = upgrader.get_upgrades() if not upgrades: logger.info("All upgrades have been applied.") return logger.info("Following upgrade(s) are ready to be applied:") for u...
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Command for showing upgrades ready to be applied.
def _calcDepths(self): depths = self.layerBoundaries.mean(axis=1)[1:] depth_y = [] for y in self.y: if y in ['p23', 'b23', 'nb23']: depth_y = np.r_[depth_y, depths[0]] elif y in ['p4', 'ss4(L23)', 'ss4(L4)', 'b4', 'nb4']: depth_y = np.r_[de...
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return the cortical depth of each subpopulation
def serialize_number(x, fmt=SER_BINARY, outlen=None): ret = b'' if fmt == SER_BINARY: while x: x, r = divmod(x, 256) ret = six.int2byte(int(r)) + ret if outlen is not None: assert len(ret) <= outlen ret = ret.rjust(outlen, b'\0') return ret...
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Serializes `x' to a string of length `outlen' in format `fmt'
def contrast(self, color, step): hls = colorsys.rgb_to_hls(*self.rgb(color)) if self.is_light(color): return colorsys.hls_to_rgb(hls[0], hls[1] - step, hls[2]) else: return colorsys.hls_to_rgb(hls[0], hls[1] + step, hls[2])
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if color is dark, will return a lighter one, otherwise darker
def download(self): url = 'http://forms.irs.gov/app/pod/dataDownload/fullData' r = requests.get(url, stream=True) with open(self.zip_path, 'wb') as f: for chunk in r.iter_content(chunk_size=30720): logger.debug('Downloading...') f.write(chunk) ...
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Download the archive from the IRS website.
def extract_feed( inpath: str, outpath: str, view: View, config: nx.DiGraph = None ) -> str: config = default_config() if config is None else config config = remove_node_attributes(config, "converters") feed = load_feed(inpath, view, config) return write_feed_dangerously(feed, outpath)
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Extract a subset of a GTFS zip into a new file
def sign_message(body: ByteString, secret: Text) -> Text: return 'sha1={}'.format( hmac.new(secret.encode(), body, sha1).hexdigest() )
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Compute a message's signature.
def register_cmdfinalization_hook(self, func: Callable[[plugin.CommandFinalizationData], plugin.CommandFinalizationData]) -> None: self._validate_cmdfinalization_callable(func) self._cmdfinalization_hooks.append(func)
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Register a hook to be called after a command is completed, whether it completes successfully or not.
def getFields(cls) : s = set(cls.columns.keys()) s.remove('json') s.remove('raba_id') return s
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'getFields'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'cls'}; ...
returns a set of the available fields. In order to be able ti securely loop of the fields, "raba_id" and "json" are not included in the set
def use_comparative_sequence_rule_enabler_rule_view(self): self._object_views['sequence_rule_enabler_rule'] = COMPARATIVE for session in self._get_provider_sessions(): try: session.use_comparative_sequence_rule_enabler_rule_view() except AttributeError: ...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'use_comparative_sequence_rule_enabler_rule_view'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifi...
Pass through to provider SequenceRuleEnablerRuleLookupSession.use_comparative_sequence_rule_enabler_rule_view
def _handle_call(self, actual_call, stubbed_call): self._actual_calls.append(actual_call) use_call = stubbed_call or actual_call return use_call.return_value
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_handle_call'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], 'val...
Extends Stub call handling behavior to be callable by default.
def view_contents(token, dstore): try: desc = dstore['oqparam'].description except KeyError: desc = '' data = sorted((dstore.getsize(key), key) for key in dstore) rows = [(key, humansize(nbytes)) for nbytes, key in data] total = '\n%s : %s' % ( dstore.filename, humansize(os.p...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'view_contents'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value':...
Returns the size of the contents of the datastore and its total size
def value(self): dtype = lib.get_data_type(self._data) dvalue = lib.get_data_value(self._data) if dvalue == ffi.NULL: return None return self.python_value(dtype, dvalue)
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'value'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}; {'i...
Return the DATA_OBJECT stored value.
def write_config(cfg): cfg_path = '/usr/local/etc/freelan' cfg_file = 'freelan_TEST.cfg' cfg_lines = [] if not isinstance(cfg, FreelanCFG): if not isinstance(cfg, (list, tuple)): print("Freelan write input can not be processed.") return cfg_lines = cfg else: ...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'write_config'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'cfg'...
try writing config file to a default directory
def _other_pipeline_samples(summary_file, cur_samples): cur_descriptions = set([s[0]["description"] for s in cur_samples]) out = [] if utils.file_exists(summary_file): with open(summary_file) as in_handle: for s in yaml.safe_load(in_handle).get("samples", []): if s["descr...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_other_pipeline_samples'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': []...
Retrieve samples produced previously by another pipeline in the summary output.
def _get_from(self, required_for=None): line = self.next_line() if line is None: return None elif line.startswith(b'from '): return line[len(b'from '):] elif required_for: self.abort(errors.MissingSection, required_for, 'from') else: ...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_get_from'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'se...
Parse a from section.
def write_csv_header(mol, csv_writer): line = [] line.append('id') line.append('status') queryList = mol.properties.keys() for queryLabel in queryList: line.append(queryLabel) csv_writer.writerow(line)
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'write_csv_header'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'valu...
Write the csv header
def delete_vpnservice(self, vpnservice): vpnservice_id = self._find_vpnservice_id(vpnservice) ret = self.network_conn.delete_vpnservice(vpnservice_id) return ret if ret else True
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'delete_vpnservice'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'val...
Deletes the specified VPN service
def django_js(context, jquery=True, i18n=True, csrf=True, init=True): return { 'js': { 'minified': not settings.DEBUG, 'jquery': _boolean(jquery), 'i18n': _boolean(i18n), 'csrf': _boolean(csrf), 'init': _boolean(init), } }
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '17']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'django_js'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8', '11', '14']}; {'id': '4', 'type': 'identifier', 'children'...
Include Django.js javascript library in the page
def daily_returns(ts, **kwargs): relative = kwargs.get('relative', 0) return returns(ts, delta=BDay(), relative=relative)
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'daily_returns'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value':...
re-compute ts on a daily basis
def run_shell(args: dict) -> int: if args.get('project_directory'): return run_batch(args) shell = CauldronShell() if in_project_directory(): shell.cmdqueue.append('open "{}"'.format(os.path.realpath(os.curdir))) shell.cmdloop() return 0
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8', '10']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'run_shell'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'typed_parameter', 'children': ['5', '6']...
Run the shell sub command
def split_sentences(s, pad=0): sentences = [] for index, sentence in enumerate(s.split('. ')): padding = '' if index > 0: padding = ' ' * (pad + 1) if sentence.endswith('.'): sentence = sentence[:-1] sentences.append('%s %s.' % (padding, sentence.strip()))...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'split_sentences'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value...
Split sentences for formatting.
def setSizeMetadata(self, size): assert((self.needMetadataUpdate(CoverImageMetadata.SIZE)) or (self.size == size)) self.size = size self.check_metadata &= ~CoverImageMetadata.SIZE
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'setSizeMetadata'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value...
Set size image metadata to what has been reliably identified.
def _interpolation_escape(self, namespace): for key, val in namespace.items(): if '%' in val: namespace[key] = self.INTERPOLATION_ESCAPE.sub(lambda match: '%' + match.group(0), val)
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_interpolation_escape'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], ...
Re-escape interpolation strings.
def conflicted(path_to_file): for line in open(path_to_file, 'r'): for marker in '>="<': if line.startswith(marker * 8): return True return False
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'conflicted'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'path_t...
Whether there are any conflict markers in that file
def serialize(self): if self.response is not None: return {'messaging_type': 'RESPONSE'} if self.update is not None: return {'messaging_type': 'UPDATE'} if self.tag is not None: return { 'messaging_type': 'MESSAGE_TAG', 'tag': s...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'serialize'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'};...
Generates the messaging-type-related part of the message dictionary.
def __arg_comps(self): fun = self.argv[0] if self.argv else '' parsed = salt.utils.args.parse_input( self.argv[1:], condition=False, no_parse=self.opts.get('no_parse', [])) args = parsed[0] kws = parsed[1] return fun, args, kws
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '__arg_comps'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'...
Return the function name and the arg list
def pks(self): if self._primary_keys is None: self._primary_keys = list( self.queryset.values_list('pk', flat=True)) return self._primary_keys
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'pks'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}; {'id'...
Lazy-load the primary keys.
def _get_go2nt(goids, go2nt_all): go_nt_list = [] goids_seen = set() for goid_usr in goids: ntgo = go2nt_all[goid_usr] goid_main = ntgo.id if goid_main not in goids_seen: goids_seen.add(goid_main) go_nt_list.append((goid_main, ntgo)) return go_nt_list
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_get_go2nt'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'g...
Get user go2nt using main GO IDs, not alt IDs.
def finish(): pretend = context.get('pretend', False) if not pretend and (git.staged() or git.unstaged()): log.err( "You have uncommitted changes in your repo!\n" "You need to stash them before you merge the hotfix branch" ) sys.exit(1) develop = conf.get('git...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '4']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'finish'}; {'id': '3', 'type': 'parameters', 'children': []}; {'id': '4', 'type': 'block', 'children': ['5', '15', '48', '58', '68', '7...
Merge current feature into develop.
def build(self, name): "build an object for the specified typename as defined in the schema" if isinstance(name, basestring): type = self.resolver.find(name) if type is None: raise TypeNotFound(name) else: type = name cls = type.name ...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'build'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}...
build an object for the specified typename as defined in the schema
def cli(env, prop): try: if prop == 'network': env.fout(get_network()) return meta_prop = META_MAPPING.get(prop) or prop env.fout(SoftLayer.MetadataManager().get(meta_prop)) except SoftLayer.TransportError: raise exceptions.CLIAbort( 'Cannot co...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'cli'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'env'}; {...
Find details about this machine.
def tags(norm): parts = norm.split('.') return ['.'.join(parts[:i]) for i in range(1, len(parts) + 1)]
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'tags'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'norm'}; {'id...
Divide a normalized tag string into hierarchical layers.
def perform_create(self, serializer): if serializer.instance is None: serializer.save(user=self.request.user)
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'perform_create'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value'...
determine user when node is added
def batch(batch_size, items): "Batch items into groups of batch_size" items = list(items) if batch_size is None: return [items] MISSING = object() padded_items = items + [MISSING] * (batch_size - 1) groups = zip(*[padded_items[i::batch_size] for i in range(batch_size)]) return [[item...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'batch'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'batch_...
Batch items into groups of batch_size
def auto_detect_serial_unix(preferred_list=['*']): import glob glist = glob.glob('/dev/ttyS*') + glob.glob('/dev/ttyUSB*') + glob.glob('/dev/ttyACM*') + glob.glob('/dev/serial/by-id/*') ret = [] others = [] for d in glist: matches = False for preferred in preferred_list: ...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'auto_detect_serial_unix'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'default_parameter', 'children': ...
try to auto-detect serial ports on unix
def volume_create(self, name, size=100, snapshot=None, voltype=None, availability_zone=None): if self.volume_conn is None: raise SaltCloudSystemExit('No cinder endpoint available') nt_ks = self.volume_conn response = nt_ks.volumes.create( size=size, ...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '18']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'volume_create'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '9', '12', '15']}; {'id': '4', 'type': 'identifier', '...
Create a block device
def make_lcc(attrs_dict, globe): attr_mapping = [('central_longitude', 'longitude_of_central_meridian'), ('standard_parallels', 'standard_parallel')] kwargs = CFProjection.build_projection_kwargs(attrs_dict, attr_mapping) if 'standard_parallels' in kwargs: try: len(kw...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'make_lcc'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'att...
Handle Lambert conformal conic projection.
def _init_file_logger(logger, level, log_path, log_size, log_count): if level not in [logging.NOTSET, logging.DEBUG, logging.INFO, logging.WARNING, logging.ERROR, logging.CRITICAL]: level = logging.DEBUG for h in logger.handlers: if isinstance(h, logging.handlers.RotatingFileHandler): ...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '9']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_init_file_logger'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7', '8']}; {'id': '4', 'type': 'identifier', 'chil...
one logger only have one level RotatingFileHandler
def senses(self, bestonly=False): l = [] for word_id, senses,distance in self: for sense, confidence in senses: if not sense in l: l.append(sense) if bestonly: break return l
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'senses'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'...
Returns a list of all predicted senses
def update_finished(self): if self.is_updateable: javabridge.call(self.jobject, "updateFinished", "()V") else: logger.critical(classes.get_classname(self.jobject) + " is not updateable!")
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'update_finished'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 's...
Signals the clusterer that updating with new data has finished.
def alchemyencoder(obj): if isinstance(obj, datetime.date): return obj.isoformat() elif isinstance(obj, decimal.Decimal): return float(obj)
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'alchemyencoder'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'ob...
JSON encoder function for SQLAlchemy special classes.
def parse_rss_file(filename: str) -> RSSChannel: root = parse_xml(filename).getroot() return _parse_rss(root)
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8', '10']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'parse_rss_file'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'typed_parameter', 'children': ['5',...
Parse an RSS feed from a local XML file.
def show(self, show=True): if show and not self.visible: self._show() if not show and self.visible: self._hide()
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'show'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'};...
Show or hide the tray icon.
def reg(self): if self.type.is_displ or self.type.is_phrase: size = core.get_native_size() return base.get_register_name(self.reg_id, size) if self.type.is_reg: return base.get_register_name(self.reg_id, self.size) else: raise exceptions.SarkOperan...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'reg'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}; {'id'...
Name of the register used in the operand.
def Description(self): descr = " ".join((self.getId(), self.aq_parent.Title())) return safe_unicode(descr).encode('utf-8')
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'Description'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'...
Returns searchable data as Description
def request_transfer(subject, recipient, comment): TransferPermission(subject).test() if recipient == (subject.organization or subject.owner): raise ValueError( 'Recipient should be different than the current owner') transfer = Transfer.objects.create( owner=subject.organization ...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'request_transfer'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6']}; {'id': '4', 'type': 'identifier', 'children': [], ...
Initiate a transfer request
def count_processors(): if 'SLURM_NTASKS' in os.environ: return int(os.environ['SLURM_NTASKS']) elif 'SLURM_JOB_CPUS_PER_NODE' in os.environ: text = os.environ['SLURM_JOB_CPUS_PER_NODE'] if is_integer(text): return int(text) else: n, N = re.findall("([1-9]+)\(x([1-9]+)\)",...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '4']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'count_processors'}; {'id': '3', 'type': 'parameters', 'children': []}; {'id': '4', 'type': 'block', 'children': ['5']}; {'id': '5', 't...
How many cores does the current computer have ?
def find_child_element(elm, child_local_name): for n in range(len(elm)): child_elm = elm[n] tag = etree.QName(child_elm) if tag.localname == child_local_name: return child_elm return None
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'find_child_element'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'va...
Find an XML child element by local tag name.
def cancel(task_id, secret_key=None, url=None): if not secret_key: secret_key = default_key() if not url: url = default_url() url = '%s/cancel' % url values = { 'id': task_id, } return _send_with_auth(values, secret_key, url)
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '11']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'cancel'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '8']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': ...
Cancel scheduled task with `task_id`
def contributors(self): if not self._contributors: self._contributors = self.get_contributors() return self._contributors
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'contributors'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self...
Property to retrieve or access the list of contributors.
def cli(env, account_id): manager = SoftLayer.CDNManager(env.client) account = manager.get_account(account_id) table = formatting.KeyValueTable(['name', 'value']) table.align['name'] = 'r' table.align['value'] = 'l' table.add_row(['id', account['id']]) table.add_row(['account_name', account[...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'cli'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'env'}; {...
Detail a CDN Account.
def generate_gaussian_profile(seeing_fwhm): FWHM_G = 2 * math.sqrt(2 * math.log(2)) sigma = seeing_fwhm / FWHM_G amplitude = 1.0 / (2 * math.pi * sigma * sigma) seeing_model = Gaussian2D(amplitude=amplitude, x_mean=0.0, y_mean=0.0, ...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'generate_gaussian_profile'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], '...
Generate a normalized Gaussian profile from its FWHM
def dlogprior(self, param): assert param in self.freeparams, "Invalid param: {0}".format(param) return self._dlogprior[param]
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'dlogprior'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'se...
Value of derivative of prior depends on value of `prior`.
def _get_var_res(self, graph, var, other_var): with tf.Session(graph=graph) as sess: sess.run(other_var["init"]) var_res = self._get_var_res_sess(sess, var) return var_res
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '8']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_get_var_res'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '6', '7']}; {'id': '4', 'type': 'identifier', 'children': [],...
Get the weights from our graph
def team(page): soup = BeautifulSoup(page) try: return soup.find('title').text.split(' | ')[0].split(' - ')[1] except: return None
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'team'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'page'}; {'id...
Return the team name
def _get_populate_from(self, model_instance): if hasattr(self.populate_from, '__call__'): tz = self.populate_from(model_instance) else: from_attr = getattr(model_instance, self.populate_from) tz = callable(from_attr) and from_attr() or from_attr try: ...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_get_populate_from'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'va...
Retrieves the timezone or None from the `populate_from` attribute.
def _set_config(xpath, element): query = {'type': 'config', 'action': 'set', 'xpath': xpath, 'element': element} response = __proxy__['panos.call'](query) return _validate_response(response)
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_set_config'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': '...
Sends a set request to the device.
def compute(self): if "Signature" in self.params: raise RuntimeError("Existing signature in parameters") if self.signature_version is not None: version = self.signature_version else: version = self.params["SignatureVersion"] if str(version) == "1": ...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'compute'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}; {...
Compute and return the signature according to the given data.
def _process(self, segments): mlh, mlw = self.max_line_height, self.max_line_width s = segments.astype(numpy.uint32) order = mlw * (s[:, 1] // mlh) + s[:, 0] sort_order = numpy.argsort(order) return segments[sort_order]
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_process'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'sel...
sort segments in read order - left to right, up to down
def _on_closed(self): LOGGER.error('Redis connection closed') self.connected = False self._on_close() self._stream = None
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_on_closed'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'}...
Invoked when the connection is closed
def _validate_freq(self): from pandas.tseries.frequencies import to_offset try: return to_offset(self.window) except (TypeError, ValueError): raise ValueError("passed window {0} is not " "compatible with a datetimelike " ...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_validate_freq'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'se...
Validate & return window frequency.
def network_traffic_ports(instance): for key, obj in instance['objects'].items(): if ('type' in obj and obj['type'] == 'network-traffic' and ('src_port' not in obj or 'dst_port' not in obj)): yield JSONError("The Network Traffic object '%s' should contain " ...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'network_traffic_ports'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'valu...
Ensure network-traffic objects contain both src_port and dst_port.
def _SignedBinaryIDFromURN(binary_urn ): if binary_urn.RelativeName(GetAFF4PythonHackRoot()): return rdf_objects.SignedBinaryID( binary_type=rdf_objects.SignedBinaryID.BinaryType.PYTHON_HACK, path=binary_urn.RelativeName(GetAFF4PythonHackRoot())) elif binary_urn.Relativ...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '5']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': '_SignedBinaryIDFromURN'}; {'id': '3', 'type': 'parameters', 'children': ['4']}; {'id': '4', 'type': 'identifier', 'children': [], 'val...
Converts an AFF4 URN for a signed binary to a SignedBinaryID.
def transformer_mlperf_tpu(): hparams = transformer_base_v3() hparams.mlperf_mode = True hparams.symbol_modality_num_shards = 1 hparams.max_length = 256 hparams.batch_size = 2048 hparams.hidden_size = 1024 hparams.filter_size = 4096 hparams.num_heads = 16 hparams.attention_dropout_broadcast_dims = "0,...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '4']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'transformer_mlperf_tpu'}; {'id': '3', 'type': 'parameters', 'children': []}; {'id': '4', 'type': 'block', 'children': ['5', '11', '17'...
HParams for Transformer model on TPU for MLPerf on TPU 2x2.
def show_event_handlers(self, stream=sys.stdout, verbose=0): lines = ["List of event handlers installed:"] for handler in self.event_handlers: if verbose: lines.extend(handler.__class__.cls2str().split("\n")) else: lines.extend(str(handler).split("...
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '13']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'show_event_handlers'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5', '10']}; {'id': '4', 'type': 'identifier', 'children':...
Print to `stream` the event handlers installed for this flow.
def unread(thread, user): return bool(thread.userthread_set.filter(user=user, unread=True))
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '6']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'unread'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'threa...
Check whether there are any unread messages for a particular thread for a user.
def handle(self, **options): template = os.path.dirname(os.path.abspath(__file__)) + "/app_template" name = options.pop("name") call_command("startapp", name, template=template, **options)
{'id': '0', 'type': 'module', 'children': ['1']}; {'id': '1', 'type': 'function_definition', 'children': ['2', '3', '7']}; {'id': '2', 'type': 'function_name', 'children': [], 'value': 'handle'}; {'id': '3', 'type': 'parameters', 'children': ['4', '5']}; {'id': '4', 'type': 'identifier', 'children': [], 'value': 'self'...
Call "startapp" to generate app with custom user model.