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def _tokenize(self, text): text = self._clean_text(text) text = self._tokenize_chinese_chars(text) orig_tokens = self._whitespace_tokenize(text) split_tokens = [] for token in orig_tokens: if self.lower: to...
Tokenizes a piece of text.
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def table(self): if hasattr(self.data, ) and self.data.table_on: assert_index_sane(self.data.table, len(self.song.tables)) return self.song.tables[self.data.table]
a ```pylsdj.Table``` referencing the instrument's table, or None if the instrument doesn't have a table
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def findPolymorphisms(self, strSeq, strict = False): arr = self.encode(strSeq)[0] res = [] if not strict : for i in range(len(arr)+len(self)) : if i >= len(arr) or i > len(self) : break if arr[i] & self[i] == 0: res.append(i) else : for i in range(len(arr)+len(self)) : if i >= len...
Compares strSeq with self.sequence. If not 'strict', this function ignores the cases of matching heterozygocity (ex: for a given position i, strSeq[i] = A and self.sequence[i] = 'A/G'). If 'strict' it returns all positions where strSeq differs self,sequence
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def create_stack_template( self, lambda_arn, lambda_name, api_key_required, iam_authorization, authorizer, cors_options=None, ...
Build the entire CF stack. Just used for the API Gateway, but could be expanded in the future.
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def start_app(self, app_id, force_launch=False): self.logger.info("Starting app %s", app_id) self.socket_client.receiver_controller.launch_app(app_id, force_launch)
Start an app on the Chromecast.
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def get_price(self, **kwargs): def fmt_p(out): return pd.DataFrame(out, index=self.symbols) return self._get_endpoint("price", fmt_p=fmt_p, params=kwargs)
Price Reference: https://iexcloud.io/docs/api/#price ``1`` per symbol Returns ------- float or pandas.DataFrame Stocks Price endpoint data
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def fit(self, X, y, likelihood_args=()): r X, y = check_X_y(X, y) N, _ = X.shape self.B_ = X.shape[0] / self.batch_size self.D_ = self.basis.get_dim(X) likelihood_args = _reshape_likelihood_args(likelihood_args, N) data = (X, y) + likelihood_ar...
r""" Learn the parameters of a Bayesian generalized linear model (GLM). Parameters ---------- X : ndarray (N, d) array input dataset (N samples, d dimensions). y : ndarray (N,) array targets (N samples) likelihood : Object A likelihood...
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def get_parent_log_ids(self, log_id): if self._catalog_session is not None: return self._catalog_session.get_parent_catalog_ids(catalog_id=log_id) return self._hierarchy_session.get_parents(id_=log_id)
Gets the parent ``Ids`` of the given log. arg: log_id (osid.id.Id): the ``Id`` of a log return: (osid.id.IdList) - the parent ``Ids`` of the log raise: NotFound - ``log_id`` is not found raise: NullArgument - ``log_id`` is ``null`` raise: OperationFailed - unable to comple...
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def from_file(pkg_file): phys_reader = PhysPkgReader(pkg_file) content_types = _ContentTypeMap.from_xml(phys_reader.content_types_xml) pkg_srels = PackageReader._srels_for(phys_reader, PACKAGE_URI) sparts = PackageReader._load_serialized_parts( phys_reader, pkg_srels...
Return a |PackageReader| instance loaded with contents of *pkg_file*.
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def get_experiment_fn(args): def get_experiment(output_dir): schema_path_with_target = os.path.join(args.analysis, feature_transforms.SCHEMA_FILE) features_path = os.path.join(args.analysis, feature_transforms.FEATURES_FILE) ...
Builds the experiment function for learn_runner.run. Args: args: the command line args Returns: A function that returns a tf.learn experiment object.
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def write_gdf(gdf, fname): gdf_file = open(fname, ) for line in gdf: for i in np.arange(len(line)): gdf_file.write(str(line[i]) + ) gdf_file.write() return None
Fast line-by-line gdf-file write function Parameters ---------- gdf : numpy.ndarray Column 0 is gids, columns 1: are values. fname : str Path to gdf-file. Returns ------- None
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def _read_protos(self, size): _byte = self._read_unpack(4, lilendian=True) _prot = LINKTYPE.get(_byte) return _prot
Read next layer protocol type. Positional arguments: * size -- int, buffer size Returns: * str -- link layer protocol name
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def _search_within_pe_warnings(self, matches): pattern = .join(re.escape(match) for match in matches) exp = re.compile(pattern) if any(exp.search(warning) for warning in self.pefile_handle.get_warnings()): return True return False
Just encapsulating a search that takes place fairly often
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def model_saved(sender, instance, created, raw, using, **kwargs): opts = get_opts(instance) model = .join([opts.app_label, opts.object_name]) action = if created else distill_model_event(instance, mode...
Automatically triggers "created" and "updated" actions.
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def close(self): if self.mdr is None: return exc = (None, None, None) try: self.cursor.close() except: exc = sys.exc_info() try: if self.mdr.__exit__(*exc): exc = (None, None, None) except: ...
Release all resources associated with this factory.
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async def async_execute(self, command: Command, password: str = , timeout: int = EXECUTE_TIMEOUT_SECS) -> Response: if not self._is_connected: raise ConnectionError("Client is not connected to the server") state = { : command, : as...
Execute a command and return response. command: the command instance to be executed password: if specified, will be used to execute this command (overriding any global password that may have been assigned to the property) timeout: maximum number of seconds to wait fo...
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def StreamIDNextDownIDToConnectivity(stream_id_array, next_down_id_array, out_csv_file): list_all = [] max_count_upstream = 0 for hydroid in np.sort(stream_id_array): list_upstreamID = stream_id_array[next_down_...
Creates RAPID connect file from stream_id array and next down id array
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def is_forced_retry(self, method, status_code): if self.method_whitelist and method.upper() not in self.method_whitelist: return False return self.status_forcelist and status_code in self.status_forcelist
Is this method/status code retryable? (Based on method/codes whitelists)
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def to_zpl( self, quantity=1, pause_and_cut=0, override_pause=False, print_mode=, print_orientation=, media_tracking=, **kwargs ): zpl = [ self.to_zpl_line(**kwargs), , % print_mode, % print_orientation, % media_trac...
The most basic ZPL to print the GRF. Since ZPL printers are stateful this may not work and you may need to build your own.
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def plotter(path, show, goodFormat): for module in goodFormat.items(): bins = [0, 40, 50, 60, 70, 80, 90, 100] out = pd.cut(module[1], bins=bins, include_lowest=True) ax = out.value_counts().plot.bar(rot=0, color="b", figsize=(10, 6), alpha=0.5, ...
makes some plots creates binned histograms of the results of each module (ie count of results in ranges [(0,40), (40, 50), (50,60), (60, 70), (70, 80), (80, 90), (90, 100)]) Arguments: path {str} -- path to save plots to show {boolean} -- whether to show plots using python goodFor...
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def check_valid_format(figformat): fig = plt.figure() if figformat in list(fig.canvas.get_supported_filetypes().keys()): logging.info("Nanoplotter: valid output format {}".format(figformat)) return figformat else: logging.info("Nanoplotter: invalid output format {}".format(figfo...
Check if the specified figure format is valid. If format is invalid the default is returned. Probably installation-dependent
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def synchronized(cls, obj=None): def get_key(f, o): if o is None: key = hash(f) else: key = hash(o) return key def get_lock(f, o): key = get_key(f, o) if key not in cls.lock_map: with c...
synchronize on obj if obj is supplied. :param obj: the obj to lock on. if none, lock to the function :return: return of the func.
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def post_save_event_listener(sender, instance, created): if not instance._meta.event_ready: return if created: instance.create_creation_event() else: instance.create_update_event() instance._original = None
Event listener to create creation and update events.
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def remote_jupyter_proxy_url(port): base_url = os.environ[] host = urllib.parse.urlparse(base_url).netloc user_url = urllib.parse.urljoin(base_url, service_url_path) full_url = urllib.parse.urljoin(user_url, proxy_url_path) return full_url
Callable to configure Bokeh's show method when a proxy must be configured. If port is None we're asking about the URL for the origin header.
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def meson_setup(): meson_exe = shutil.which() ninja_exe = shutil.which() if not meson_exe or not ninja_exe: raise FileNotFoundError() if not (BINDIR / ).is_file(): subprocess.check_call([meson_exe, str(SRCDIR)], cwd=BINDIR) ret = subprocess.run(ninja_exe, cwd=BINDIR, stderr=s...
attempt to build with Meson + Ninja
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def clicked(self, event): group = event.artist._mt_group n = event.artist._mt_n dt = num2date(event.artist._mt_bin) print("%4i %s events in %s sec beginning at %s" % (n, group, self.bucketsize, dt.strftime("%b %d %H:%M:%S")))
Print group name and number of items in bin.
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def save_surface_files(note, error, registrations, subject, no_surf_export, no_reg_export, surface_format, surface_path, angle_tag, eccen_tag, label_tag, radius_tag, registration_name): surface_files if no_surf_export: return {: ()} surface_format = surface_form...
save_surface_files is the calculator that saves the registration data out as surface files, which are put back in the registration as the value 'surface_files'.
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def _aws_encode_changebatch(o): change_idx = 0 while change_idx < len(o[]): o[][change_idx][][] = aws_encode(o[][change_idx][][]) if in o[][change_idx][]: rr_idx = 0 while rr_idx < len(o[][change_idx][][]): o[][change_idx][][][rr_idx][] = aws_encode(...
helper method to process a change batch & encode the bits which need encoding.
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def set_cmd(name, accepts_value=False): def decorator(func): SET_COMMANDS[name] = func if accepts_value: SET_COMMANDS_TAKING_VALUE.add(name) return func return decorator
Docorator that registers a ':set'-command.
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def match_shortname(self, name, filled_args=None): filled_count = 0 if filled_args is not None: filled_count = len(filled_args) possible = [x for x in self.arg_names[filled_count:] if x.startswith(name)] if len(possible) == 0: raise ArgumentError("Could...
Try to convert a prefix into a parameter name. If the result could be ambiguous or there is no matching parameter, throw an ArgumentError Args: name (str): A prefix for a parameter name filled_args (list): A list of filled positional arguments that will be ...
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def source_file(self): if os.path.exists(self.filename): return open_source(self.filename) raise CoverageException( "No source for code ." % self.filename )
Return an open file for reading the source of the code unit.
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def _call_numpy(self, x): if self.halfcomplex: return np.fft.irfftn(x, axes=self.axes) else: if self.sign == : return np.fft.ifftn(x, axes=self.axes) else: return (np.fft.fftn(x, axes=self.axes) / np.pro...
Return ``self(x)`` using numpy. Parameters ---------- x : `numpy.ndarray` Input array to be transformed Returns ------- out : `numpy.ndarray` Result of the transform
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def _get_lottery_detail_by_id(self, id): header = .split() pt = PrettyTable() pt._set_field_names(header) url = QUERY_DETAIL_URL.format(id=id) import requests content = requests.get(url).text d = pq(content) if d(): info ...
相应彩种历史信息生成 百度详细信息页有两种结构,需要分开处理
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def ToJson(self): json = {} json["hash"] = self.Hash.To0xString() json["size"] = self.Size() json["version"] = self.Version json["previousblockhash"] = self.PrevHash.To0xString() json["merkleroot"] = self.MerkleRoot.To0xString() json["time"] = self.Timest...
Convert object members to a dictionary that can be parsed as JSON. Returns: dict:
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def retry_over_time(fun, catch, args=[], kwargs={}, errback=None, max_retries=None, interval_start=2, interval_step=2, interval_max=30): retries = 0 interval_range = xrange(interval_start, interval_max + interval_start, interval_step) for...
Retry the function over and over until max retries is exceeded. For each retry we sleep a for a while before we try again, this interval is increased for every retry until the max seconds is reached. :param fun: The function to try :param catch: Exceptions to catch, can be either tuple or a single ...
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def parse_config_file(config_file_path): extension = os.path.splitext(config_file_path)[1] if extension == : raise ValueError("Skipping .pyc file as config") if extension == : with open(config_file_path) as config_file: try: mapping = json.load(config_file) except ValueError as e: ...
Parse a configuration file. Currently only supports .json, .py and properties separated by '=' :param config_file_path: :return: a dict of the configuration properties
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def get_template_object(template_file=): jinja_template_paths_obj = [] if TEMPLATES_PATH: external_templates = pathlib.Path(TEMPLATES_PATH).expanduser().resolve() assert os.path.isdir(external_templates), .format(external_templates) jinja_template_paths_obj.append(external_template...
Retrieve template. Args: template_file (str): Name of template file. Returns: jinja2.Template: Template ready to render. Raises: AssertionError: Configured path for templates does not exist. :obj:`foremast.exceptions.ForemastTemplateNotFound`: Requested template ...
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def fs_obj_query_info(self, path, follow_symlinks): if not isinstance(path, basestring): raise TypeError("path can only be an instance of type basestring") if not isinstance(follow_symlinks, bool): raise TypeError("follow_symlinks can only be an instance of type bool") ...
Queries information about a file system object (file, directory, etc) in the guest. in path of type str Path to the file system object to gather information about. Guest path style. in follow_symlinks of type bool Information about symbolic links is returned...
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def audioread(filename): try: if in filename.lower(): fs, signal = wv.read(filename) elif in filename.lower(): with open(filename, ) as f: signal = np.fromfile(f, dtype=np.int16) fs = 333333 else: raise IOError("Unsupport...
Reads an audio signal from file. Supported formats : wav :param filename: filename of the audiofile to load :type filename: str :returns: int, numpy.ndarray -- samplerate, array containing the audio signal
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def get_template_attributes(template_id, **kwargs): try: attrs_i = db.DBSession.query(Attr).filter(TemplateType.template_id==template_id).filter(TypeAttr.type_id==TemplateType.id).filter(Attr.id==TypeAttr.id).all() log.debug(attrs_i) return attrs_i except NoResultFound: ret...
Get a specific attribute by its ID.
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def get_assessment_part(self, assessment_part_id): collection = JSONClientValidated(, collection=, runtime=self._runtime) result = collection.find_one( dict({: ObjectId(self....
Gets the ``AssessmentPart`` specified by its ``Id``. arg: assessment_part_id (osid.id.Id): the ``Id`` of the ``AssessmentPart`` to retrieve return: (osid.assessment.authoring.AssessmentPart) - the returned ``AssessmentPart`` raise: NotFound - no ``AssessmentP...
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def update(self, display_name=None, display_description=None): return self.manager.update(self, display_name=display_name, display_description=display_description)
Update the specified values on this snapshot. You may specify one or more values to update. If no values are specified as non-None, the call is a no-op; no exception will be raised.
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def readline(self, f): while True: line = f.readline() if len(line) == 0: raise EOFError line = line[:line.find()] line = line.strip() if len(line) > 0: return line
A helper method that only reads uncommented lines
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def register(self, newdata, *args, **kwargs): kwargs.update(zip(self.meta_names, args)) uncertainty = kwargs[] variance = kwargs[] isconstant = kwargs[] if uncertainty: for k0, d in uncertainty.iteritems(): for k1, v01 in d.i...
Register data in registry. Meta for each data is specified by positional or keyword arguments after the new data and consists of the following: * ``uncertainty`` - Map of uncertainties in percent corresponding to new keys. The uncertainty keys must be a subset of the new data keys. * ...
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def create_wtd_psf(skydir, ltc, event_class, event_types, dtheta, egy_bins, cth_bins, fn, nbin=64, npts=1): egy_bins = np.exp(utils.split_bin_edges(np.log(egy_bins), npts)) etrue_bins = 10**np.linspace(1.0, 6.5, nbin * 5.5 + 1) etrue = 10**utils.edge_to_center(np.log10(etrue_bin...
Create an exposure- and dispersion-weighted PSF model for a source with spectral parameterization ``fn``. The calculation performed by this method accounts for the influence of energy dispersion on the PSF. Parameters ---------- dtheta : `~numpy.ndarray` egy_bins : `~numpy.ndarray` ...
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def to_ipv6(key): if key[-2:] != : raise ValueError() key_bytes = base32.decode(key[:-2]) hash_one = sha512(key_bytes).digest() hash_two = sha512(hash_one).hexdigest() return .join([hash_two[i:i+4] for i in range(0, 32, 4)])
Get IPv6 address from a public key.
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def replace_validating_webhook_configuration(self, name, body, **kwargs): kwargs[] = True if kwargs.get(): return self.replace_validating_webhook_configuration_with_http_info(name, body, **kwargs) else: (data) = self.replace_validating_webhook_configuration_with_...
replace the specified ValidatingWebhookConfiguration This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.replace_validating_webhook_configuration(name, body, async_req=True) >>> result = thread.get() ...
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def read(self, address, size, force=False): size = self._get_size(size) assert not issymbolic(size) if issymbolic(address): assert solver.check(self.constraints) logger.debug(f) try: solutions = self._try_get_solutions(address, size, ...
Read a stream of potentially symbolic bytes from a potentially symbolic address :param address: Where to read from :param size: How many bytes :param force: Whether to ignore permissions :rtype: list
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def scan(self, *, items: np.ndarray = None, axis: int = None, layers: Iterable = None, key: str = None, batch_size: int = 8 * 64) -> Iterable[Tuple[int, np.ndarray, loompy.LoomView]]: if axis is None: raise ValueError("Axis must be given (0 = rows, 1 = cols)") if layers is None: layers = self.layers.keys()...
Scan across one axis and return batches of rows (columns) as LoomView objects Args ---- items: np.ndarray the indexes [0, 2, 13, ... ,973] of the rows/cols to include along the axis OR: boolean mask array giving the rows/cols to include axis: int 0:rows or 1:cols batch_size: int the chuncks retur...
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def GetMacAddresses(self): result = set() for interface in self.interfaces: if (interface.mac_address and interface.mac_address != b"\x00" * len(interface.mac_address)): result.add(Text(interface.mac_address.human_readable_address)) return sorted(result)
MAC addresses from all interfaces.
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def GetPlugins(cls): for plugin_name, plugin_class in iter(cls._plugin_classes.items()): yield plugin_name, plugin_class
Retrieves the registered plugins. Yields: tuple[str, type]: name and class of the plugin.
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async def _send_rtcp_pli(self, media_ssrc): if self.__rtcp_ssrc is not None: packet = RtcpPsfbPacket(fmt=RTCP_PSFB_PLI, ssrc=self.__rtcp_ssrc, media_ssrc=media_ssrc) await self._send_rtcp(packet)
Send an RTCP packet to report picture loss.
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def plot(self): if self.results_table == None: return "no results found" else: bb = self.results_table.sort_values( by=["ABCD", "ACBD"], ascending=[False, True], ) import toyplot c = t...
return a toyplot barplot of the results table.
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def set_exception(self, exception): if self.done(): raise RuntimeError("set_exception can only be called once.") self._exception = exception self._trigger()
Set the result of the future to the given exception. Args: exception (:exc:`Exception`): The exception raised.
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def post_build(self, p, pay): p += pay if self.auxdlen != 0: print("NOTICE: A properly formatted and complaint V3 Group Record should have an Auxiliary Data length of zero (0).") print(" Subsequent Group Records are lost!") return p
Called implicitly before a packet is sent.
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def djfrontend_jquery(version=None): if version is None: version = getattr(settings, , DJFRONTEND_JQUERY_DEFAULT) if getattr(settings, , False): template = else: template = ( <script src="{static}djfrontend/js/jquery/{v}/jquery.min.js"><\/script>\) ...
Returns jQuery JavaScript file according to version number. TEMPLATE_DEBUG returns full file, otherwise returns minified file from Google CDN with local fallback. Included in HTML5 Boilerplate.
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def iter_module_paths(modules=None): modules = modules or list(sys.modules.values()) for module in modules: try: filename = module.__file__ except (AttributeError, ImportError): continue if filename is not None: abs_filename = os.path.abspath(fi...
Yield paths of all imported modules.
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def register_json(self, data): j = json.loads(data) self.last_data_timestamp = \ datetime.datetime.utcnow().replace(microsecond=0).isoformat() try: for v in j: self.data[v[self.id_key]] = {} se...
Register the contents as JSON
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def _traverse(self, name, create_missing=False, action=None, value=NO_DEFAULT): obj = self segments = self._parse_path(name) for segment, next_segment in zip(segments, segments[1:] + [None]): last = next_segment is None if create_missing: self._...
Traverse to the item specified by ``name``. To create missing items on the way to the ``name``d item, pass ``create_missing=True``. This will insert an item for each missing segment in ``name``. The type and value of item that will be inserted for a missing segment depends on the *next*...
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def wordcount(text): bannedwords = read_file() wordcount = {} separated = separate(text) for word in separated: if word not in bannedwords: if not wordcount.has_key(word): wordcount[word] = 1 else: wordcount[word] += 1 return wordc...
Returns the count of the words in a file.
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def wfreq2vocab(wfreq_file, output_file, top=None, gt=None, records=1000000, verbosity=2): cmd = [, , verbosity, , records] cmd = [str(x) for x in cmd] if top: cmd.extend([,top]) elif gt: cmd.extend([,gt]) with open(wfreq_file,) as input_f: ...
Takes a a word unigram file, as produced by text2wfreq and converts it to a vocabulary file. The top parameter allows the user to specify the size of the vocabulary; if the function is called with the parameter top=20000, then the vocabulary will consist of the most common 20,000 words. The gt parameter...
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def _interpolate_stream_track_kick_aA(self): if hasattr(self,): return None dmOs= numpy.array([\ super(streamgapdf,self).meanOmega(da,oned=True, tdisrupt=self._tdisrupt ...
Build interpolations of the stream track near the impact in action-angle coordinates
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def _get_types(func, clsm, slf, clss = None, prop_getter = False, unspecified_type = Any, infer_defaults = None): func0 = util._actualfunc(func, prop_getter) if not slf: argNames = util.getargnames(util.getargspecs(func0)) if len(argNames) > 0: if clsm: ...
Helper for get_types and get_member_types.
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def show_window_options(self, option=None, g=False): tmux_args = tuple() if g: tmux_args += (,) if option: return self.show_window_option(option, g=g) else: tmux_args += (,) cmd = self.cmd(*tmux_args).stdout ...
Return a dict of options for the window. For familiarity with tmux, the option ``option`` param forwards to pick a single option, forwarding to :meth:`Window.show_window_option`. Parameters ---------- option : str, optional show a single option. g : str, opt...
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def service_name(self): if hasattr(self, "server_name") and self.server_name: server_name = self.server_name else: server_name = 1 return "{}-{}-{}".format(self.service_prefix, self.service_owner, ...
Service name inside the Docker Swarm service_suffix should be a numerical value unique for user {service_prefix}-{service_owner}-{service_suffix}
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def _get_best_indexes(logits, n_best_size): index_and_score = sorted(enumerate(logits), key=lambda x: x[1], reverse=True) best_indexes = [] for i in range(len(index_and_score)): if i >= n_best_size: break best_indexes.append(index_and_score[i][0]) return best_indexes
Get the n-best logits from a list.
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def assert_text_equal(self, selector, value, testid=None, **kwargs): self.info_log( "Assert text equal selector(%s) testid(%s)" % (selector, testid) ) highlight = kwargs.get( , BROME_CONFIG[][] ) self.debug_log("effective highlight: %...
Assert that the element's text is equal to the provided value Args: selector (str): the selector used to find the element value (str): the value that will be compare with the element.text value test_id (str): the test_id or a str Kwargs: ...
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def _byteify(input): if isinstance(input, dict): return {_byteify(key): _byteify(value) for key, value in input.items()} elif isinstance(input, list): return [_byteify(element) for element in input] elif _PYTHON_3 and isinstance(input, str): return str(input.encode(, ).decode())...
Force the given input to only use `str` instead of `bytes` or `unicode`. This works even if the input is a dict, list,
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def summarize(logger): summary = [] for log in logger.get_logs(): thestatus = log.has_error() and log.get_error(False) or name = log.get_name() summary.append(name + + thestatus) return .join(summary)
Creates a short summary on the actions that were logged by the given Logger. :type logger: Logger :param logger: The logger that recorded what happened in the queue. :rtype: string :return: A string summarizing the status of every performed task.
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def helical_laminar_fd_White(Re, Di, Dc): r De = Dean(Re=Re, Di=Di, D=Dc) fd = friction_laminar(Re) if De < 11.6: return fd return fd/(1. - (1. - (11.6/De)**0.45)**(1./0.45))
r'''Calculates Darcy friction factor for a fluid flowing inside a curved pipe such as a helical coil under laminar conditions, using the method of White [1]_ as shown in [2]_. .. math:: f_{curved} = f_{\text{straight,laminar}} \left[1 - \left(1-\left( \frac{11.6}{De}\right)^{0.45}\rig...
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def add_child(self, tree): s children This tree becomes the added tree tree.parent = self self.children.append(tree) return tree
Add a child to the list of this tree's children This tree becomes the added tree's parent
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def not_modified(cls, errors=None): if cls.expose_status: cls.response.content_type = cls.response._status_line = return cls(304, None, errors).to_json
Shortcut API for HTTP 304 `Not Modified` response. Args: errors (list): Response key/value data. Returns: WSResponse Instance.
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def acquire(self): if os.path.exists(self.path): try: pid = None with open(self.path, ) as f: line = f.readline().strip() pid = int(line) if not psutil.pid_exists(pid)...
Attempts to acquire a lock for the J-Link lockfile. If the lockfile exists but does not correspond to an active process, the lockfile is first removed, before an attempt is made to acquire it. Args: self (Jlock): the ``JLock`` instance Returns: ``True`` if the lock...
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def route(bp, *args, **kwargs): kwargs[] = kwargs.pop(, False) body = _validate_schema(kwargs.pop(, None)) query = _validate_schema(kwargs.pop(, None)) output = _validate_schema(kwargs.pop(, None)) validate = kwargs.pop(, True) def decorator(f): @bp.route(*args, **kwargs) ...
Journey route decorator Enables simple serialization, deserialization and validation of Flask routes with the help of Marshmallow. :param bp: :class:`flask.Blueprint` object :param args: args to pass along to `Blueprint.route` :param kwargs: - :strict_slashes: Enable / disable strict slashes (...
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def add_photo_to_observation(observation_id: int, file_object: BinaryIO, access_token: str): data = {: observation_id} file_data = {: file_object} response = requests.post(url="{base_url}/observation_photos".format(base_url=INAT_BASE_URL), headers=_build_auth_header(access...
Upload a picture and assign it to an existing observation. :param observation_id: the ID of the observation :param file_object: a file-like object for the picture. Example: open('/Users/nicolasnoe/vespa.jpg', 'rb') :param access_token: the access token, as returned by :func:`get_access_token()`
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def ndtri(p, name="ndtri"): with tf.name_scope(name): p = tf.convert_to_tensor(value=p, name="p") if dtype_util.as_numpy_dtype(p.dtype) not in [np.float32, np.float64]: raise TypeError( "p.dtype=%s is not handled, see docstring for supported types." % p.dtype) return _ndtri(p...
The inverse of the CDF of the Normal distribution function. Returns x such that the area under the pdf from minus infinity to x is equal to p. A piece-wise rational approximation is done for the function. This is a port of the implementation in netlib. Args: p: `Tensor` of type `float32`, `float64`. ...
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def _write_subset_index_file(options, core_results): f_path = os.path.join(options[], ) subset_strs = zip(*core_results)[0] index = np.arange(len(subset_strs)) + 1 df = pd.DataFrame({: subset_strs}, index=index) df.to_csv(f_path)
Write table giving index of subsets, giving number and subset string
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def deserialize_single_input_output(self, transformer, node_path, attributes_map=None): with open("{}/model.json".format(node_path)) as json_data: model_j = json.load(json_data) attributes = model_j[] for attribute in attributes.keys(): value_k...
:attributes_map: Map of attributes names. For example StandardScaler has `mean_` but is serialized as `mean` :param transformer: Scikit or Pandas transformer :param node: bundle.ml node json file :param model: bundle.ml model json file :return: Transformer
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def curry(f, args_supplied=()): try: nargs_required = len(signature(f).parameters) except ValueError as e: raise ValueError(str(e) + " (maybe you're trying to curry a built-in?)") def inner(arg): new_args_supplied = args_supplied + (arg,) if len(new_args_suppli...
Takes a function, and then returns a function that takes each argument for the original function through __call__. You probably shouldn't use this with builtins! Even if it seems to work with a builtin, it might not work properly in previous versions of Python.
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def geolocation_buses(network, session): if geopandas: RenpassGISRegion = RenpassGisParameterRegion region_id = [, , , , , , , , , , , ] query = session.query(RenpassGISRegion.gid, RenpassGISRegion.u_region...
If geopandas is installed: Use Geometries of buses x/y(lon/lat) and Polygons of Countries from RenpassGisParameterRegion in order to locate the buses Else: Use coordinats of buses to locate foreign buses, which is less accurate. Parameters ---------- network_etrago: : class: `e...
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def pool_create(hypervisor, identifier, pool_path): path = os.path.join(pool_path, identifier) if not os.path.exists(path): os.makedirs(path) xml = POOL_DEFAULT_CONFIG.format(identifier, path) return hypervisor.storagePoolCreateXML(xml, 0)
Storage pool creation. The following values are set in the XML configuration: * name * target/path * target/permission/label
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def validate (self): if not os.path.isfile(self.pathname): self.message.append() else: try: with open(self.pathname, ) as stream: pass except IOError: self.messages.append( % self.pathname) for line in self.commands: messages = [ ] if line.cmd an...
Returns True if this Sequence is valid, False otherwise. Validation error messages are stored in self.messages.
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def spec_fn(spec_dir=): specs = [f for f in os.listdir(spec_dir) if os.path.isfile(f) and f.endswith()] if not specs: raise exception.SpecFileNotFound() if len(specs) != 1: raise exception.MultipleSpecFilesFound() return specs[0]
Return the filename for a .spec file in this directory.
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def download(self, bands, download_dir=None, metadata=False): super(AWSDownloader, self).validate_bands(bands) if download_dir is None: download_dir = DOWNLOAD_DIR dest_dir = check_create_folder(join(download_dir, self.sceneInfo.name)) downloaded = [] for b...
Download each specified band and metadata.
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def add_transition (self, input_symbol, state, action=None, next_state=None): if next_state is None: next_state = state self.state_transitions[(input_symbol, state)] = (action, next_state)
This adds a transition that associates: (input_symbol, current_state) --> (action, next_state) The action may be set to None in which case the process() method will ignore the action and only set the next_state. The next_state may be set to None in which case the current state ...
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def fit(self, X, y=None): with Timer() as self.fit_time_: self.estimator.fit(X, y) C = self.cluster_centers_ self.embedded_centers_ = self.transformer.fit_transform(C) self.scores_ = self._score_cluste...
Fit the clustering model, computing the centers then embeds the centers into 2D space using the embedding method specified.
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def autoconvert(string): for fn in (boolify, int, float): try: return fn(string) except ValueError: pass return string
Try to convert variables into datatypes.
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def now_date(str=False): if str: return datetime.datetime.now().strftime("%Y-%m-%d") return datetime.date.today()
Get the current date.
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def resize_contain(image, size, resample=Image.LANCZOS, bg_color=(255, 255, 255, 0)): img_format = image.format img = image.copy() img.thumbnail((size[0], size[1]), resample) background = Image.new(, (size[0], size[1]), bg_color) img_position = ( int(math.ceil((size[0] - img.size[0]) / ...
Resize image according to size. image: a Pillow image instance size: a list of two integers [width, height]
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def get_mount_targets(filesystemid=None, mounttargetid=None, keyid=None, key=None, profile=None, region=None, **kwargs): my-minion result = None client = _get_conn(key=key, ke...
Get all the EFS mount point properties for a specific filesystemid or the properties for a specific mounttargetid. One or the other must be specified filesystemid (string) - ID of the file system whose mount targets to list Must be specified if mounttargetid is not mounttarg...
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def _get_value(self, entity): if entity._projection: if self._name not in entity._projection: raise UnprojectedPropertyError( % (self._name,)) return self._get_user_value(entity)
Internal helper to get the value for this Property from an entity. For a repeated Property this initializes the value to an empty list if it is not set.
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def get_topology(self, topologyName, callback=None): if callback: self.topology_watchers[topologyName].append(callback) else: topology_path = self.get_topology_path(topologyName) with open(topology_path) as f: data = f.read() topology = Topology() topology.ParseFro...
get topology
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def p_closed_proposition_list(self, p): if len(p) == 2: p[0] = [p[1]] else: p[0] = p[1] + [p[4]]
closed_proposition_list : closed_proposition_list SLASH SLASH closed_proposition | closed_proposition
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def prepare(data): sha = data.get("sha") tree = data.get("tree") return {"sha": sha, "tree": tree}
Restructure/prepare data about trees for output.
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def _get_subparser(self, path, group_table=None): group_table = group_table or {} for length in range(0, len(path)): parent_path = path[:length] parent_subparser = self.subparsers.get(tuple(parent_path), None) if not parent_subparser: ...
For each part of the path, walk down the tree of subparsers, creating new ones if one doesn't already exist.
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def normalize(self,asOf=None,multiplier=100): if not asOf: x0=self.ix[0] else: x0=self.ix[asOf] return self/x0*multiplier
Returns a normalized series or DataFrame Example: Series.normalize() Returns: series of DataFrame Parameters: ----------- asOf : string Date format '2015-02-29' multiplier : int Factor by which the results will be adjusted
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def get_save_request_from_user(self): msg = _("There are unsaved changes.\nDo you want to save?") dlg = GMD.GenericMessageDialog( self.main_window, msg, _("Unsaved changes"), wx.YES_NO | wx.ICON_QUESTION | wx.CANCEL) save_choice = dlg.ShowModal() dlg....
Queries user if grid should be saved
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def githubWebHookConsumer(self, *args, **kwargs): return self._makeApiCall(self.funcinfo["githubWebHookConsumer"], *args, **kwargs)
Consume GitHub WebHook Capture a GitHub event and publish it via pulse, if it's a push, release or pull request. This method is ``experimental``
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def generate_matching_datasets(self, data_slug): matching_datasets = Dataset.objects.filter( hub_slug=data_slug ).order_by() if len(matching_datasets) > 0: return matching_datasets else: return None
Return datasets that match data_slug (hub_slug).
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def energy(self, hamiltonian): r from ..potential import PotentialBase if isinstance(hamiltonian, PotentialBase): from ..potential import Hamiltonian warnings.warn("This function now expects a `Hamiltonian` instance " "instead of a `PotentialBa...
r""" The total energy *per unit mass* (e.g., kinetic + potential): Parameters ---------- hamiltonian : `gala.potential.Hamiltonian` The Hamiltonian object to evaluate the energy. Returns ------- E : :class:`~astropy.units.Quantity` The to...