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def encrypt(plaintext, a, b): """ 加密函数:E(x) = (ax + b)(mod m) m为编码系统中的字母数,一般为26 :param plaintext: :param a: :param b: :return: """ cipher = "" for i in plaintext: if not i.isalpha(): cipher += i else: n = "A" if i.isupper() else "a...
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def threshold(alpha): """Only two-to-one mapping is supported. """ alpha[0] = min(1., max(0., (1. + alpha[0] - alpha[1]) * .5)) alpha[1] = 1. - alpha[0]
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def construct_gn_command(output_path, gn_flags, python2_command=None, shell=False): """ Constructs and returns the GN command If shell is True, then a single string with shell-escaped arguments is returned If shell is False, then a list containing the command and arguments is returned """ gn_arg...
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def reads_in_file(file_path): """ Find the number of reads in a file. Count number of lines with bash wc -l and divide by 4 if fastq, otherwise by 2 (fasta) """ return round(int(subprocess.check_output(["wc", "-l", file_path]).split()[0]) / (4 if bin_classify.format == "fastq" else ...
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def _url_as_filename(url: str) -> str: """Return a version of the url optimized for local development. If the url is a `file://` url, it will return the remaining part of the url so it can be used as a local file path. For example, 'file:///logs/example.txt' will be converted to '/logs/example.txt'...
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def hard_max(node: NodeWrapper, params: Dict[str, np.ndarray], xmap: Dict[str, XLayer]): """ ONNX Hardmax to XLayer AnyOp conversion function Input tensor shape: N dims Output tensor shape: 2D """ logger.info("ONNX Hardmax -> XLayer AnyOp") assert len(node.get_output...
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def sol_files_by_directory(target_path: AnyStr) -> List: """Gathers all the .sol files inside the target path including sub-directories and returns them as a List. Non .sol files are ignored. :param target_path: The directory to look for .sol files :return: """ return files_by_directory(tar...
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def _call(sig, *inputs, **kwargs): """Adds a node calling a function. This adds a `call` op to the default graph that calls the function of signature `sig`, passing the tensors in `inputs` as arguments. It returns the outputs of the call, which are one or more tensors. `sig` is OpDefArg.a `_DefinedFunction`...
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def api_url_for(view_name, _absolute=False, _xml=False, *args, **kwargs): """Reverse URL lookup for API routes (that use the JSONRenderer or XMLRenderer). Takes the same arguments as Flask's url_for, with the addition of `_absolute`, which will make an absolute URL with the correct HTTP scheme based on ...
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def cov(x, rowvar=False, bias=False, ddof=None, aweights=None): """Estimates covariance matrix like numpy.cov""" # ensure at least 2D if x.dim() == 1: x = x.view(-1, 1) # treat each column as a data point, each row as a variable if rowvar and x.shape[0] != 1: x = x.t() if ddof ...
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def threadsafe_generator(f): """A decorator that takes a generator function and makes it thread-safe. Args: f(function): Generator function Returns: None """ def g(*args, **kwargs): """ Args: *args(list): List of non-key worded,variable length arguments. ...
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def load_many_problems(file, collection): """Given a ZIP file containing several ZIP files (each one a problem), insert the problems into collection""" problems = list() try: with ZipFile(file) as zfile: for filename in zfile.infolist(): with zfile.open(filename) a...
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def CheckStructuralModelsValid(rootGroup, xyzGridSize=None, verbose=False): """ **CheckStricturalModelsValid** - Checks for valid structural model group data given a netCDF root node Parameters ---------- rootGroup: netCDF4.Group The root group node of a Loop Project File xyzGri...
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def get_load_balancers(): """ Return all load balancers. :return: List of load balancers. :rtype: list """ return elbv2_client.describe_load_balancers()["LoadBalancers"]
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def init_app(app): """Makes sure the db gets closed and init-db command works. :param type app: flask.Flask. """ app.teardown_appcontext(close_db) app.cli.add_command(init_db_command)
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def get_datasets(folder): """ Returns a dictionary of dataset-ID: dataset directory paths """ paths = glob(f"{folder}/*") return {os.path.split(p)[-1]: p for p in paths if os.path.isdir(p)}
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def create_dir(path): """ This routine creates directories. """ try: os.mkdir(path) except OSError: print ("Creation of the directory %s failed" % path) else: print ("Successfully created the directory %s " % path)
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def file_preview(request): """ Live preview of restructuredtext payload - currently not wired up """ f = File( heading=request.POST['heading'], content=request.POST['content'], ) rendered_base = render_to_string('projects/doc_file.rst.html', {'file': f}) rendered = restructur...
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def makeMask(n): """ return a mask of n bits as a long integer """ return (long(2) << n - 1) - 1
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def link_name_to_index(model): """ Generate a dictionary for link names and their indicies in the model. """ return { link.name : index for index, link in enumerate(model.links) }
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def create_audio_dataset( dataset_path: str, dataset_len=100, **kwargs ) -> pd.DataFrame: """ Creates audio dataset from file structure. Args: playlist_dir: Playlist directory path. # TODO dataset_len (optional): Number of audio files to include. Returns: df: Compiled dataframe...
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def _run_plugins(st, make_all=False, run_id=test_run_id_nT, **proces_kwargs): """ Try all plugins (except the DAQReader) for a given context (st) to see if we can really push some (empty) data from it and don't have any nasty problems like that we are r...
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def unzip_file(file_to_unzip, destination_to_unzip="unzip_apk"): """ Extract all directories in the zip to the destination. :param str file_to_unzip: :param str destination_to_unzip: """ if not os.path.isdir(destination_to_unzip): os.makedirs(destination_to_unzip) try: zippe...
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def photos_page(): """ Example view demonstrating rendering a simple HTML page. """ context = make_context() with open('data/featured.json') as f: context['featured'] = json.load(f) return make_response(render_template('photos.html', **context))
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def get_user_by_id(current_user, uid): """ Получение одного пользователя по id в json""" try: user_schema = CmsUsersSchema(exclude=['password']) user = CmsUsers.query.get(uid) udata = user_schema.dump(user) response = Response( response=json.dumps(udata.data), ...
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def update_bond_lists_mpi(bond_matrix, comm, size, rank): """ update_bond_lists(bond_matrix) Return atom indicies of angular terms """ N = bond_matrix.shape[0] "Get indicies of bonded beads" bond_index_full = np.argwhere(bond_matrix) "Create index lists for referring to in 2D arrays" indices_full = create_...
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def RepoRegion(args, cluster_location=None): """Returns the region for the Artifact Registry repo. The intended behavior is platform-specific: * managed: Same region as the service (run/region or --region) * gke: Appropriate region based on cluster zone (cluster_location arg) * kubernetes: The run/region...
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def html(ctx, **kwargs): """Formats meeting HTML""" ensure_config(ctx.obj) ctx.obj.update(kwargs) args = AttrDict(ctx.obj) context = Context(args) context.prerender() content = context.render() logger.info(f'Generated {len(content)//1000}KB of HTML content') logger.info(f'Total meeti...
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def install_nightly_packs(client: demisto_client, host: str, packs_to_install: List, request_timeout: int = 999999): """ Install content packs on nightly build. We will catch the exception if pack fails to install and send the req...
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def compile(expr: ibis.Expr, params=None): """Compile a given expression. Note you can also call expr.compile(). Parameters ---------- expr : ibis.Expr params : dict Returns ------- compiled : string """ from ibis.omniscidb.compiler import to_sql return to_sql(expr, d...
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def get_border(border, size): """ Get border """ i = 1 while size - border // i <= border // i: # size > 2 * (border // i) i *= 2 return border // i
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def load_normalized_data(file_path, log1p=True): """load normalized data 1. Load filtered data for both FACS and droplet 2. Size factor normalization to counts per 10 thousand 3. log(x+1) transform 4. Combine the data Args: file_path (str): file path. Returns: adata_combin...
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def from_copy_number( model: cobra.Model, index: pd.Series, cell_copies: pd.Series, stdev: pd.Series, vol: float, dens: float, water: float, ) -> cobra.Model: """Convert `cell_copies` to mmol/gDW and apply them to `model`. Parameters ---------- model: cobra.Model cob...
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def test_exclude_crds_mask_pix(): """Test that bad pixel images are differentiated correctly """ common_bad = ([0, 1, 2, 3, 4], [0, 1, 2, 3, 4]) bad1_only = ([0, 1, 3, 4], [4, 3, 1, 0]) bad2_only = ([3, 3, 3, 3], [0, 1, 2, 4]) bad1 = np.zeros((5, 5), dtype=np.uint8) bad1[common_bad] = 1 ...
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def getstatusoutput(cmd): """Return (exitcode, output) of executing cmd in a shell. Execute the string 'cmd' in a shell with 'check_output' and return a 2-tuple (status, output). The locale encoding is used to decode the output and process newlines. A trailing newline is stripped from the output. ...
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def _get_values(attribute, text): """Match attribute in text and return all matches. :returns: List of matches. """ regex = '{}\s+=\s+"(.*)";'.format(attribute) regex = re.compile(regex) values = regex.findall(text) return values
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def time_axis(tpp=20e-9, length=20_000) -> np.ndarray: """Return the time axis used in experiments. """ ts = tpp * np.arange(length) ten_percent_point = np.floor(length / 10) * tpp ts -= ten_percent_point ts *= 1e6 # convert from seconds to microseconds return ts
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def _has_perm(user, ctnr, action, obj=None, obj_class=None): """ Checks whether a user (``request.user``) has permission to act on a given object (``obj``) within the current session CTNR. Permissions will depend on whether the object is within the user's current CTNR and the user's permissions leve...
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def log_level(bot: Bot, event: Event, irc: connection_wrapper, args: List[str]): """<level> Changes the logging level""" try: log.setLevel(getattr(log, args[0].upper())) irc.reply(event, f"Set log level to {args[0]}") except AttributeError: irc.reply(event, f"Invalid log l...
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def read_chunk(file: File, size: int=400) -> bytes: """ Reads first [size] chunks from file, size defaults to 400 """ file = _path.join(file.root, file.name) # get full path of file with open(file, 'rb') as file: # read chunk size chunk = file.read(size) return chunk
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def plot_tensorflow_log(args): """ Plot data from tensorboard event file. """ # Loading too much data is slow... tf_size_guidance = {'scalars': args.num_load} event_acc = EventAccumulator(args.log_name, tf_size_guidance) event_acc.Reload() assert event_acc.Tags()["scalars"] != [],...
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def parse_input(file_path): """ Turn an input file of newline-separate bitrate samples into input and label arrays. An input file line should look like this: 4983 1008073 1591538 704983 1008073 1008073 704983 Adjacent duplicate entries will be removed and lines with less than two samples will ...
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def read(rel_path): """ Docstring """ here = os.path.abspath(os.path.dirname(__file__)) with open(os.path.join(here, rel_path), 'r') as fp: return fp.read()
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def main(argv=None): """Main command line interface.""" if argv is None: argv = sys.argv[1:] cli = CommandLineTool() try: return cli.run(argv) except KeyboardInterrupt: print('Canceled') return 3
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def extract_attrs_for_lowering(mod: nn.Module) -> Dict[str, Any]: """If `mod` is in `module_fetch_book`, fetch the mod's attributes that in the `module_fetch_book` after checking module's version is compatible with the `module_fetch_book`. """ attrs_for_lowering: Dict[str, Any] = {} attrs_for_loweri...
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def get_filter_fields(target: str, data_registry_url: str, token: str) -> Set[str]: """ Returns a list of filterable fields from a target end point by calling OPTIONS :param target: target end point of the data registry :param data_registry_url: the url of the data registry :param token: personal a...
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def cli_invitation(): """`crcr invitation`の起点.""" pass
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def azimuthalAverage(image, center=None): """ Calculate the azimuthally averaged radial profile. image - The 2D image center - The [x,y] pixel coordinates used as the center. The default is None, which then uses the center of the image (including fracitonal pixels). http...
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def run_tasks(api, logger, config): """Launch CGC tasks. Parameters ---------- api: SevenBridges API instance Api logger: logger instance Log config: dict YAML configuration file """ logger.info('Running tasks!') project = config...
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def train_transforms_fisheye(sample, image_shape, jittering): """ Training data augmentation transformations Parameters ---------- sample : dict Sample to be augmented image_shape : tuple (height, width) Image dimension to reshape jittering : tuple (brightness, contrast, sat...
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def build_json_output_request(**kwargs: Any) -> HttpRequest: """A Swagger with XML that has one operation that returns JSON. ID number 42. See https://aka.ms/azsdk/python/protocol/quickstart for how to incorporate this request builder into your code flow. :return: Returns an :class:`~azure.core.rest.H...
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def merge_extended(args_container: args._ArgumentContainer, hold: bool, identificator: str) -> int: """ Merge the args_container into the internal, like merge_named, but hold specifies if the internal container should not be cleared. :param args_container: The argument container with the data to merge ...
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def video_path_file_name(instance, filename): """ Callback for video node field to get path file name :param instance: the image field :param filename: the file name :return: the path file name """ return path_file_name(instance, 'video', filename)
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def setup_platform(opp, config, add_entities, discovery_info=None): """Set up the cover platform for ADS.""" ads_hub = opp.data[DATA_ADS] ads_var_is_closed = config.get(CONF_ADS_VAR) ads_var_position = config.get(CONF_ADS_VAR_POSITION) ads_var_pos_set = config.get(CONF_ADS_VAR_SET_POS) ads_var_...
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def _suppress_hotkey(steps, timeout): """ Adds a hotkey to the list of keys to be suppressed. To unsuppress all hotkeys use `clear_all_hotkeys()`. """ _key_table.suppress_sequence(steps, timeout)
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def radiative_processes_mono(flux_euv, flux_fuv, average_euv_photon_wavelength=242.0, average_fuv_photon_wavelength=2348.0): """ Calculate the photoionization rate of helium at null optical depth based on the EUV spectrum arriving at the planet. ...
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def handle_exception(exc): """ :return: void Tries to handle it """ print("[CRITICAL ERROR]:", str(exc).replace("\n", ".") + "!!!") print("pyhodl stopped abruptly, but your data is safe, don't worry.") user_input = UserInput() if user_input.get_yes_no("Want to fill a bug report?"): ...
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def date_yyyymmdd(now: typing.Union[datetime.datetime, None] = None, day_delta: int = 0, month_delta: int = 0) -> str: """ :param day_delta: :param month_delta: :return: today + day_delta + month_delta -> str YYYY-MM-DD """ return date_delta(now, day_delta, month_delta).strftime("%Y-%m-%d")
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def description_for_number(*args, **kwargs): """Return a text description of a PhoneNumber object for the given language. The description might consist of the name of the country where the phone number is from and/or the name of the geographical area the phone number is from. This function explicitly ...
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def get_pathway_nodes(pathway): """Return single nodes in pathway. :param pathme_viewer.models.Pathway pathway: pathway entry :return: BaseAbundance nodes :rtype: list[pybel.dsl.BaseAbundance] """ # Loads the BELGraph graph = from_bytes(pathway.blob) collapse_to_genes(graph) # Ret...
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def restore_modifiers(scan_codes): """ Like `restore_state`, but only restores modifier keys. """ restore_state((scan_code for scan_code in scan_codes if is_modifier(scan_code)))
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def check_currrent_user_privilege(): """ Check if our user has interesting tokens """ # Interesting Windows Privileges # - SeDebug # - SeRestore # - SeBackup # - SeTakeOwnership # - SeTcb # - SeCreateToken # - SeLoadDriver # - SeImpersonate # - SeAssignPrimaryToken ...
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def handle_domain_addition_commands(client: Client, demisto_args: dict) -> CommandResults: """ Adds the domains to the inbound blacklisted list. :type client: ``Client`` :param client: Client to use. :type demisto_args: ``dict`` :param demisto_args: The demisto arguments. ...
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def _tc4(dom: AbsDom): """ Validate that my AcasNet module can be optimized at the inputs. """ mse = nn.MSELoss() max_retries = 100 max_iters = 30 # at each retry, train at most 100 iterations def _loss(outputs_lb): lows = outputs_lb[..., 0] distances = 0 - lows distances =...
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def delete_image(inputkey, inputName): """Function to delete image""" folder = get_image_path(inputkey, inputName) os.remove(folder)
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def skip_url(url): """ Skip naked username mentions and subreddit links. """ return REDDIT_PATTERN.match(url) and SUBREDDIT_OR_USER.search(url)
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def assert_dataset_like( ds1: timeseries.MultiRegionDataset, ds2: timeseries.MultiRegionDataset, *, drop_na_timeseries=False, drop_na_latest=False, drop_na_dates=False, compare_tags=True, ): """Asserts that two datasets contain similar date, ignoring order.""" ts1 = _timeseries_sorte...
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def test_not_connected(): """Test send commands without connection.""" device = _TestDevice(SERIAL, CREDENTIAL) with pytest.raises(DysonNotConnected): device.request_current_status() assert device._status is None with pytest.raises(DysonNotConnected): device._send_command("COMMAND")
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def registry(): """ Return a dictionary of problems of the form: ```{ "problem name": { "params": ... }, ... }``` where `flexs.landscapes.AdditiveAAVPackaging(**problem["params"])` instantiates the additive AAV packaging landscape for the given set of paramet...
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def ecm(n, rounds, b1, b2, wheel=2310, output=True): """Elliptic Curve Factorization Method. In each round, the following steps are performed: 0. Generate random point and curve. 1. Repeatedly multiply the current point by small primes raised to some power, determined by b1. 2. S...
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def FBSleep(MilliSeconds): """ Sleep function Puts system to sleep for specified time. MilliSeconds : Time to sleep for. """ pass
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def raise_min_sdk_version(doc, min_sdk_version, target_sdk_version, library): """Ensure the manifest contains a <uses-sdk> tag with a minSdkVersion. Args: doc: The XML document. May be modified by this function. min_sdk_version: The requested minSdkVersion attribute. target_sdk_version: The requested ...
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def dc_mode_option(update: Update, contex: CallbackContext) -> Optional[int]: """Get don't care response mode option""" ndc = contex.user_data[0] if ndc.response_mode == DoesntCare.ResponseMode.TIME: if not re.match(r"[0-9]+:[0-9]+:[0-9]+", update.effective_message.text): update.effecti...
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def is_in_period(datetime_, start, end): """指定した日時がstartからendまでの期間に含まれるか判定する""" return start <= datetime_ < end
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def consume(url): """Consume messages""" ctx = zmq.Context.instance() s = ctx.socket(zmq.PULL) s.connect(url) print("Consuming") for i in range(MSGS * PRODUCERS): msg = s.recv() print(msg.decode('ascii')) print("Consumer done") s.close()
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def set_shared_params(a, b): """ Args: a (chainer.Link): link whose params are to be replaced b (dict): dict that consists of (param_name, multiprocessing.Array) """ assert isinstance(a, chainer.Link) for param_name, param in a.namedparams(): if param_name in b: share...
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def create_experiment_summary(): """Returns a summary proto buffer holding this experiment""" # Convert TEMPERATURE_LIST to google.protobuf.ListValue temperature_list = struct_pb2.ListValue().extend(TEMPERATURE_LIST) return summary.experiment_pb( hparam_infos=[ api_pb2.HParamInfo(name="initial_t...
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def get_session(token, custom_session=None): """Get requests session with authorization headers Args: token (str): Top secret GitHub access token custom_session: e.g. betamax's session Returns: :class:`requests.sessions.Session`: Session """ session = custom_sessio...
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def mass_to_tbint_to_energy_map(dpath, filterfn=lambda x: True, fpath_list=None): """Given a directory, creates a mapping mass number -> ( a, b, c, d, j -> energy ) using the files in the directory :param fpath_list: :param dpath: the directory which is a direct p...
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def strip_accents(text): """ Strip accents from input String. :param text: The input string. :type text: String. :returns: The processed String. :rtype: String. """ text = unicodedata.normalize('NFD', text) text = text.encode('ascii', 'ignore') text = text.decode("utf-8") r...
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def write_png(filename, image): """Writes a PNG image file.""" image = tf.squeeze(image, 0) if image.dtype.is_floating: image = tf.round(image) if image.dtype != tf.uint8: image = tf.saturate_cast(image, tf.uint8) string = tf.image.encode_png(image) tf.io.write_file(filename, str...
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def json_formatter(result, _verbose): """Format result as json.""" if isinstance(result, list) and "data" in result[0]: res = [json.dumps(record) for record in result[0]["data"]] output = "\n".join(res) else: output = json.dumps(result, indent=4, sort_keys=True) return output
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def show_all_companies(): """Show all companies a user has interest in.""" # redirect if user is not logged in if not session: return redirect('/') else: # get user_id from session user_id = session['user_id'] user = User.query.filter(User.user_id == user_id).one() ...
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def add_atstop_proc(func): """At serving server stop, execute function""" global at_stop_list at_stop_list.append(func)
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def run_sim(G, numsteps=100): """ Run a simulation for numsteps steps and plot the resulting curves :param G: A networkx graph :param numsteps: The number of steps to run the simulation for :return: None """ num_s = [] num_i = [] num_r = [] for i in range(numsteps): upda...
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def test_duo_one_disconnect(opt, server_url): """Tests whether disconnects properly cause a task to fail and let the non-disconnecting partner complete the HIT. Also tests reconnecting after a partner disconnect or after a disconnect. """ global completed_threads print('{} Starting'.format(DUO_O...
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def ll_combined_grad(x, item_ids, judge_ids, pairwise=[], individual=[]): """ This function computes the _negative_ gradient of the loglikelihood for each parameter in x, for both the individual and pairwise data. Keyword arguments: x -- the current parameter estimates. item_ids -- the ids...
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def relu(inp): # ReLu function as activation function """ ReLu neural network activation function :param inp: Node value before activation :return: Node value after activation """ return np.max(inp, 0)
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def getCmd(snmpEngine, authData, transportTarget, contextData, *varBinds, **options): """Creates a generator to perform one or more SNMP GET queries. On each iteration, new SNMP GET request is send (:RFC:`1905#section-4.2.1`). The iterator blocks waiting for response to arrive or error to occur....
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def augment_sentence(tokens: List[str], augmentations: List[Tuple[List[tuple], int, int]], begin_entity_token: str, sep_token: str, relation_sep_token: str, end_entity_token: str) -> str: """ Augment a sentence by adding tags in the specified positions. Args: tokens: Tokens of ...
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def evaluate_model_recall_precision(mat, num_items, testRatings, K_recall, K_precision, num_thread): """ Evaluate the performance (Hit_Ratio, NDCG) of top-K recommendation Return: score of each test rating. """ global _mat global _testRatings global _K_recall global _K_precision glob...
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def pipe_hoop_stress(P, D, t): """Calculate the hoop (circumferential) stress in a pipe using Barlow's formula. Refs: https://en.wikipedia.org/wiki/Barlow%27s_formula https://en.wikipedia.org/wiki/Cylinder_stress :param P: the internal pressure in the pipe. :type P: float :param D: the ou...
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def node_constraints(node): """ Returns all constraints a node is linked to :param node: str :return: list(str) """ return maya.cmds.listRelatives(node, type='constraint')
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def save_data_file(sourceFile, destination = None, subdirectory = None, user = None, verbose = True): """ Function used to save (i.e copy) a data file into a directory of choice after an experimental session Parameters: sourceFile - the path of the file that was generated by the experimental session and t...
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def parse_file_name(filename): """ Parse the file name of a DUD mol2 file to get the target name and the y label :param filename: the filename string :return: protein target name, y_label string (ligand or decoy) """ bname = os.path.basename(filename) splitted_bname = bname.split('_') i...
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def load_opencv_stereo_calibration(path): """ Load stereo calibration information from xml file @type path: str @param path: video_path to xml file @return stereo calibration: loaded from the given xml file @rtype calib.data.StereoRig """ tree = etree.parse(path) stereo_calib_elem = ...
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def _IsSingleElementTuple(token): """Check if it's a single-element tuple.""" close = token.matching_bracket token = token.next_token num_commas = 0 while token != close: if token.value == ',': num_commas += 1 if token.OpensScope(): token = token.matching_bracket else: token = to...
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def exportBufferView(gltf: GLTF2, primaryBufferIndex: int, byteOffset: int, byteLength: int) -> GLTFIndex: """Creates a glTF bufferView with the specified offset and length, referencing the default glB buffer. Args: gltf: Gltf object to append new buffer onto. primaryBufferIndex: Index of the p...
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def ReadCan(filename): """Reads the candump in filename and returns the 4 fields.""" trigger = [] trigger_velocity = [] trigger_torque = [] trigger_current = [] wheel = [] wheel_velocity = [] wheel_torque = [] wheel_current = [] trigger_request_time = [0.0] trigger_request_c...
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def retrieve(func): """ Decorator for Zotero read API methods; calls _retrieve_data() and passes the result to the correct processor, based on a lookup """ def wrapped_f(self, *args, **kwargs): """ Returns result of _retrieve_data() func's return value is part of a URI, and ...
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