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def calc_power_VARIANT(input_data, working_dir, t_pt=0): """Calculate the power distributions from VARIANT Parameters ---------- data : dict DASSH input data dictionary working_dir : str Path to current working directory Returns ------- dict DASSH Power objects ...
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def from_float32(buffer): """Interprets an arbitrary string or NumPy array as Vax single-precision floating-point binary values, and returns the equivalent array in IEEE values.""" # Convert the buffer to 2-byte elements if isinstance(buffer, (str, np.str_, bytes, bytearray)): pairs = np.fr...
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def p_cmdexpr_xmlunescape(p): """cmdexpr : XMLUNESCAPE | XMLUNESCAPE arglist | XMLUNESCAPE MACRO"""
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def draw_bound_box_on_image(image, xmin, ymin, xmax, ymax, vis=True): """ :param image: :param xmin, ymin, xmax, ymax: 归一化后的边角坐标 :param vis: :return: """ pil_image = PIL.Image.fromarray(image) draw = ImageDraw(pil_image) xmin *= pil_image.width xmax *= pil_image.width ...
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def get_file_stats(file_name, entity_type='file', lineno=None, cursorpos=None, plugin=None, language=None, local_file=None): """Returns a hash of information about the entity.""" language = standardize_language(language, plugin) stats = { 'language': language, 'dependenci...
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def setup(app: sphinx.application.Sphinx) -> dict[str, object]: """Called by Sphinx to set up the extension.""" app.add_config_value("gaphor_models", {}, "env", [dict]) app.add_directive("diagram", DiagramDirective) app.connect("config-inited", config_inited) return { "version": "0.1", ...
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def create_vmhc(use_ants, flirt_only=False, name='vmhc_workflow', ants_threads=1): """ Compute the map of brain functional homotopy, the high degree of synchrony in spontaneous activity between geometrically corresponding interhemispheric (i.e., homotopic) regions. Parameters ---------- None ...
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def get_chunk_index(connection, db, # pylint: disable=too-many-arguments tbl, chunk, ch_db='percona', ch_tbl='checksums'): """ Get index that was used to cut the chunk :param connection: MySQLDb connection :param db: database of the chunk :param tbl: table o...
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def _get_tree(code): """Return an AST tree of the JS passed in `code`.""" if not code: return # Acceptable unicode characters still need to be stripped. Just remove the # slash: a character is necessary to prevent bad identifier errors. code = JS_ESCAPE.sub("u", unicodehelper.decode(code))...
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def initial_assignment_alpha_MSS(agents: List[AdditiveAgent], items: List[str], alpha: float)->Allocation: """ Initial division for allocting agents according to their alpha-MMS. :param agents: valuations of agents, normalized such that MMS=1 for all agents, and valuation are ordered in ascending orde...
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def start_interactive_mode(result): """starts an interactive shell so that the user can inspect errors """ debuggers = result.debuggers descrs = result.error_descrs + result.fail_descrs if len(debuggers) == 1: # don't ask for test name if there's only one failure debuggers[0].start()...
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def find_furious_yaml(config_file=__file__): """ Traverse directory trees to find a furious.yaml file Begins with the location of this file then checks the working directory if not found Args: config_file: location of this file, override for testing Returns: the path of...
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def comp_axes( self, axes_list, machine=None, axes_dict_in=None, is_periodicity_a=None, is_periodicity_t=None, per_a=None, is_antiper_a=None, per_t=None, is_antiper_t=None, ): """Compute simulation axes such as time / angle / phase axes, with or without periodicities and ...
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def update_credentials(): """ Update the credentials zip file """ from base.application import create_app app = create_app() app.app_context().push() click.secho("Zipping env_config", fg='green') zipdir('env_config/', 'env_config.zip') zip_creds = get_item('credential', 'travis-c...
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def update_person(s, I_ID, firstname, lastname, dob, phonenum=None): """This function will update a person's records. """ pers = s.query(Person).filter(Person.id == I_ID).one() pers.first_name = firstname pers.last_name = lastname pers.DOB = dob pers.phone = phonenum pers.age = age(dob) s.commit()
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def clean_vehicles(country): """Delete all vehicles from given country.""" with elastic() as client: search = Vehicle.search(using=client).filter("term", country=country) count = search.count() search.delete() return count
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def render_template( env: NativeEnvironment, template: Union[Text, Path], context: Any, ) -> Any: """Utility function for rendering Jinja2 text or file templates. Args: env: The Jinja2 environment to use for rendering template: The template string or file to render context: ...
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def _get_template_dirs(type="plugin"): """Return a list of directories where templates may be located. """ template_dirs = [ os.path.expanduser(os.path.join("~", ".rapport", "templates", type)), os.path.join("rapport", "templates", type) # Local dev tree ] return template_dirs
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def aspect_ToCString(*args): """ * Translates an ExtendedString to a CString depending of the local format. :param aString: :type aString: TCollection_ExtendedString & :rtype: char * """ return _Aspect.aspect_ToCString(*args)
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def execute(args, parser): """Executes the :ref:`authorise <authorise-cli>` command.""" print('To generate a personal access token do the following:') print(' 1. Login to your GitHub account') print(' 2. Go to Settings -> Developer settings -> Personal access tokens') print(' 3. Click "Generate n...
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def suites_list(request): """List suites.""" return TemplateResponse( request, "manage/suite/suites.html", { "suites": model.Suite.objects.select_related().annotate( case_count=NotDeletedCount("cases", distinct=True)), } )
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def main(): """Runs your solution -- no need to update (except to maybe try out different databases).""" # Sample implementation of the autocomplete API database = ["abracadara", "al", "alice", "alicia", "allen", "alter", "altercation", "bob", "element", "ello", "eve", "evening", "event", "eventually", "mal...
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def push_gitlab_event_dict(): """ Cleared version of the push gitlab webhook content. """ return { "object_kind": "push", "event_name": "push", "before": "0e27f070efa4bef2a7c0168f07a0ac36ef90d8cb", "after": "cb2859505e101785097e082529dced35bbee0c8f", "ref": "refs/...
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def compute_rotation_effects(VD, settings, EW_small, GAMMA, len_mach, X, CHORD, XLE, XBAR, rhs, COSINP, SINALF, PITCH, ROLL, YAW, STB, RNMAX): """ This computes the effects of the freestream and aircraft rotation rate on CLE, the induced flow at the leading edge Assumptio...
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def setup(): """ Sets up the database session """ global connection connection = MySQLdb.connect(host=config.get('mysql.host'), user=config.get('mysql.user'), passwd=config.get('mysql.password'), db=co...
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def introduction(course): """This method represents route to 'courses/<course>/intro.html' where the character introduction is rendered. This method handles both GET and POST requests. Args: course (string): Name of the course. Returns: render_template: Returns rendered 'courses/<cours...
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def available_formats(): """Return the available formats for reading and writing Returns ------- tuple: tuple of sets. First set are the available formats for reading. Second set are the available sets for writing. """ import pesummary.core.file.formats import pesummary.gw.file.formats ...
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def bbox_from_openpose(openpose_file, rescale=1.2, detection_thresh=0.2): """Get center and scale for bounding box from openpose detections.""" with open(openpose_file, 'r') as f: keypoints = json.load(f)['people'][0]['pose_keypoints_2d'] keypoints = np.reshape(np.array(keypoints), (-1, 3)) vali...
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def test_g_year_month_enumeration004_1194_g_year_month_enumeration004_1194_v(mode, save_output, output_format): """ TEST :Facet Schemas for string : facet=enumeration and value=2001-03 2000-10 2001-12 and document value=2001-03 """ assert_bindings( schema="msData/datatypes/Facets/gYearMonth/...
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def datasets(tablefmt: str): """List datasets.""" click.echo(_help_datasets(tablefmt))
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def test_main_fails_on_requests_error( runner: CliRunner, mock_requests_get: Mock ) -> None: """It exits with exit code 1 if wikipedia throws exception.""" mock_requests_get.side_effect = Exception("Boom") result = runner.invoke(console.main) assert result.exit_code == 1
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def calc_KPs(TempC, Sal, P=None): """ Calculate equilibrium constants for P species. KP1 = H3PO4 KP2 = H2PO4 KP3 = HPO4 Chapter 5, Section 7.2.5 of Dickson, Sabine and Christian (2007, http://cdiac.ornl.gov/oceans/Handbook_2007.html) **WITHOUT APPROX PH SCALE CONVERSION IN CONSTANT** ...
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def evaluate_model_sector_prediction( model, test_data_x, test_data_y, test_data_industry, test_data_size, mode_classifier=True, max_seq_length=512, batch_size=8, ): """This is a function to predict the sector given the input text ids""" model = model.eval() pred_label_test ...
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def is_no_op(module: Module) -> bool: """Return whether the module does no operation in graph. Args: module: module Returns: whether module is no operation """ no_op_modules = (Sequential, _Branch, Parallel, ReduceTuple, GraphModule) return isinstance(module, no_op_modules)
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def check_dirs_make(dir_fullpaths:list): """ Check if a directory exists. If not, create it. @type dir_fullpaths: list @param dir_fullpaths: Paths to directorys to check """ for dir_fullpath in dir_fullpaths: if not os.path.isdir(dir_fullpath): os.mkdir(dir_full...
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def process_json_file(filename): """The entry point - loops through data files and loads each in""" assert isinstance(filename, str) if os.path.isdir(filename): LOGGER.info("Filename points to a directory") return else: LOGGER.info('Processing {}'.format(filename)) with ...
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def has_ext(path_name, *, multiple=None, if_all_ext=False): """ Determine if the given path name has an extension """ base = os.path.basename(path_name) count = base.count(EXT) if not if_all_ext and base[0] == EXT and count != 0: count -= 1 if multiple is None: return count...
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def index_directory(directory, labels, formats, class_names=None, shuffle=True, seed=None, follow_links=False): """Make list of all files in the subdirs of `directory`, with their labels. Args: ...
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def execute_actions(protocol, device, actions): """ iterate through the actions and call the execute method at the Protocol class :param protocol: :param device: :param actions: :return: """ for action in actions: protocol.execute(device, action)
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def test_cray_config_unset(cli_runner): """ Test `cray init` for creating the default configuration """ runner, cli, opts = cli_runner config = opts['default'] configname = config['configname'] filep = '.config/cray/configurations/{}'.format(configname) with open(filep, encoding='utf-8') as f: ...
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def bugprint(content: object): """ Only prints message if in debug mode :type content: str :param content: the string to print """ if LOG is not None and LOG == 1: print(content)
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def colors_from_cmap(length=50, cmap=None, start=None, stop=None): """Return color cycle from a given colormap. Parameters ---------- length : int The number of colors in the cycle. When `length` is large (> ~10), it is difficult to distinguish between successive lines because successiv...
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def mag_thresh(img, sobel_kernel=3, mag_thresh=(30, 100)): """ Return the magnitude of the gradient for a given sobel kernel size and threshold values """ # Apply the following steps to img # 1) Convert to grayscale gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY) # 2) Take the gradient in x and y separately...
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def mean_absolute_percentage_error(predictions, targets): """Calculate mean absolute percentage error""" mask = (targets != 0.0) return (np.fabs(targets - predictions)/targets)[mask].mean()*100.0
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def make_net_xds_list(data_xds_list, coords_per_xds): """Construct a list of dicts of xarray.Datasets to house the net gains. Args: data_xds_list: A List of xarray.Dataset objects containing MS data. coords_per_xds: A List of Dicts containing dataset coords. Returns: net_gain_xds_l...
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def sort_dict(d, key=None, reverse=False): """ Sorts a dict by value. Args: d: Input dictionary key: Function which takes an tuple (key, object) and returns a value to compare and sort by. By default, the function compares the values of the dict i.e. key = lambda t :...
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def check_builds(): """Base task""" response = requests.get( url=urljoin(Config.SISENSE_URL, "v2/builds"), headers=Config.SISENSE_HEADERS ) builds = pd.DataFrame(data=response.json()) failed_builds = builds.loc[(builds.status == "failed")] # for each failed cube: for build in failed_...
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def comp_neworig(tileid,dirn='/global/cfs/cdirs/desi/survey/catalogs/testfiberassign/SV3rerun/orig/'): """ check that new matches the original """ ts = str(tileid).zfill(6) fa = fitsio.read('/global/cfs/cdirs/desi/target/fiberassign/tiles/trunk/'+ts[:3]+'/fiberassign-'+ts+'.fits.gz') fn = ...
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def create_cluster(config): """Create a PostgreSQL cluster for verification. Once the cluster is initialized, access should be strictly controlled. The postgresql.conf and pg_hba.conf should be set, and a random password set for the postgres user. """ cluster_path = os.path.join(config['working...
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def _get_widget_handler(webmanager): """ Returns a handler to get the widgets :param WebManager webmanager: :return tornado.web.RequestHandler: """ class WidgetHandler(web.RequestHandler): """ Handler for all communications over WebSockets """ def get(self): ...
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def get_model_field_type(model, field_label): """ Returns model's field type. """ return FIELD_TYPES_MAPPING.get(type(get_model_field(model, field_label)), 'STRING')
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def test_yt32(): """ Testing permutations with Young tableaux without the shape [2,2] Expected answer is 25 mesh patterns (some classical) Suffices to look at permutations up to length 6 """ A = read_bisc_file(ppf + "yt_perm_avoids_32_good_len8") B = read_bisc_file(ppf + "yt_perm_av...
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def touch(path): """Creates an empty file at the specified path.""" perms = (os.O_WRONLY | os.O_CREAT | os.O_NONBLOCK | os.O_NOCTTY) fd = None try: fd = os.open(path, perms) os.utime(path, None) finally: if fd is not None: os.close(fd)
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def prepare_elements_default_wallet(my_node): """this will collect the free coins we have created with -initialfreecoins=2100000000000000 and transfer them to the default-wallet """ rpc = my_node.rpcconn.get_rpc() wallet = rpc.wallet("") freehash = rpc.getblockhash(0) freetxid = rpc.getblock...
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def test_set_nonexisting_working_dir(known_dirs): """Working dir not added to sys paths if not exist.""" p = '/arb/path' assert sys.path == ['arb'] moduleloader.set_working_directory(p) assert sys.path == ['arb'] assert moduleloader._known_dirs == {p}
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def Normalize_Column_Scores(df, columns, norm_type = 'divide_by_max'): """Normalizes scores for specified columns in a pandas dataframe Parameters ---------- df : a pandas DataFrame object that contains the specified columns columns: a list object that includes the columns to normalize ...
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def custom_pdf_merge(doctype,docid,attach_to_og_doc=False,doc_to_merge={}): """ doc_to_merge = { "dt_to_merge": "", ##doctype on which merge is to be performed "dt_to_merge_id": "", ##docid on which merge is to be performed "attach_fieldname": "", ##fieldname of the attach field through which CAD doc is u...
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def test_schema_from_parquet_with_namespace(filename): """Test the creation of a new model from a parquet file.""" origin = Path(__file__).parent / "data" / "original" / filename target_dir = Path(__file__).parent / "data" / "schemas" namespace = "pydf" schema = Schema.from_parquet( str(or...
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def find_most_common_word(sentence): """Return the most common word in the sentence.""" # Change to lowercase and strip out punctuation sentence = clean_sentence(sentence) list_of_words = sentence.split() word_to_count = dict() # Create a histogram of the occurrence of all words for w...
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def fast_rcnn_inference(boxes, scores, image_shapes, predictions, score_thresh, nms_thresh, topk_per_image): """ Call `fast_rcnn_inference_single_image` for all images. Args: boxes (list[Tensor]): A list of Tensors of predicted class-specific or class-agnostic boxes for each image. Elem...
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def GetVar(doc:NexDoc, varNumber, varType) -> NexVar: """Returns the reference to the specified variable.""" return NexRun("GetVar", locals())
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def full_issuance(cfr_title, cfr_part, version): """Create a full regulation tree from a notice""" process_version_if_needed(cfr_title, cfr_part, version) process_tree_if_needed(cfr_title, cfr_part, version)
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def putversenotes(): """Serves AJAX call for json data to save notes. See also [M:NOTESAVE.putVerseNotes][notesave.NOTESAVE.putVerseNotes]. Client code: [{noteverse.sendnotes}][noteversesendnotes] """ session.forget(response) Books = BOOKS() Note = NOTE(Books) NoteSave = NOTESAVE(Note)...
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def prepend(list, item): """Adds the provided item to the front of the list.""" list.insert(0, item)
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def _valid_multiview_args(cfg_user, logger): """ Validates the "multiview" parameters of a json configuration file used for training. The function returns False if an error has occurred and True if all settings have passed the check. :param cfg_user: EasyDict, json configuration file imported as dicti...
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def generate_extension(project=None, outdir=None, *, _project_from_raw=info.Project.from_raw, _abspath=os.path.abspath, _projfiles=None, _gen=None, ): """Produce all needed files to build an extension ...
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def apply_gradient_descent(var_list, obj, learning_rate = 0.01): """ Sets up the gradient descent optimizer Args: var_list: List of variables to optimizer over. obj: Node of the objective to minimize Notes: learning_rate: What learning rate to run with. (Default = ``0.01...
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def save_to_csv(dealtime,number,vercode, amount): """ 写入内容到csv """ dealtime = dealtime.split(' ')[0] # 切割时间取年月日 number = number + '\t' vercode = vercode + '\t' amount = amount[0] data = (dealtime, number, vercode, amount) file_path = strftime("jd-assistant_%Y_%m.csv") # 按照当前系统时间创建...
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def make_cls_accept_cls_annotated_deps(cls: type[T]) -> type[T]: """ Make class `cls` accept class-annotated dependencies, performing following modifications: - Update `__init__` function to set any class-annotated dependencies as instance attributes - Update `__signature__` attribute to indicate to Fas...
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def getReviewRedirect(entity, params): """Returns the redirect to review the specified entity. """ return '/%s/review/%s' % ( params['url_name'], entity.key().id_or_name())
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def leapfrog_step(state, target_log_prob_fn, kinetic_energy_fn, step_size, rng=None): """Single step of leapfrog. Notes ===== The canonical distribution is related to the energy of the system by p(p, \theta) = 1/Zexp(-H(\theta, p)/T) For now, we assume that the kinetic energy takes the...
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def test_atomic_string_max_length_1_nistxml_sv_iv_atomic_string_max_length_2_4(mode, save_output, output_format): """ Type atomic/string is restricted by facet maxLength with value 969. """ assert_bindings( schema="nistData/atomic/string/Schema+Instance/NISTSchema-SV-IV-atomic-string-maxLength-2...
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def get_plugins_json(url: str = "https://repobee.org/plugins.json") -> dict: """Fetch and parse the plugins.json file. Args: url: URL to the plugins.json file. Returns: A dictionary with the contents of the plugins.json file. """ resp = requests.get(url) if resp.status_code != 2...
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def add_available_prefixes(parent, prefix_list): """ Create fake Prefix objects for all unallocated space within a prefix. """ # Find all unallocated space available_prefixes = IPSet(parent) ^ IPSet([p.prefix for p in prefix_list]) available_prefixes = [Prefix(prefix=p) for p in available_prefi...
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def isready() -> bool: """Is the embedded R ready for use.""" INITIALIZED = RPY_R_Status.INITIALIZED return bool( rpy2_embeddedR_isinitialized == INITIALIZED.value )
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def yolo2_loss(args, anchors, num_classes, label_smoothing=0, use_crossentropy_loss=False, use_crossentropy_obj_loss=False, rescore_confidence=False): """YOLOv2 loss function. Parameters ---------- yolo_output : tensor Final convolutional layer features. true_boxes : tensor Ground ...
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def create_compressed_model(model: tf.keras.Model, config: NNCFConfig, compression_state: Optional[Dict[str, Any]] = None) \ -> Tuple[CompressionAlgorithmController, tf.keras.Model]: """ The main function used to produce a model ready for compressi...
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def load_misc_config(): """Load misc configuration. Returns: Misc object for misc config. """ return Misc(config.load_config('misc.yaml'))
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async def test_wrong_device_now_has_our_ip(hass: HomeAssistant) -> None: """Test setup is retried when the wrong device is found.""" bulb = _mocked_wizlight(None, None, FAKE_SOCKET) bulb.mac = "dddddddddddd" _, entry = await async_setup_integration(hass, wizlight=bulb) assert entry.state is config_e...
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def filter_activations_remove_neurons(X, neurons_to_remove): """ Filter activations so that they do not contain specific neurons. .. note:: The returned value is a view, so modifying it will modify the original matrix. Parameters ---------- X : numpy.ndarray Numpy Matri...
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def adaptive_threshold(im, block_size, constant, mode=cv2.THRESH_BINARY): """ Performs an adaptive threshold on an image Uses cv2.ADAPTIVE_THRESH_GAUSSIAN_C: threshold value is the weighted sum of neighbourhood values where weights are a gaussian window. Uses cv2.THRESH_BINARY: ...
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def get_loss(stochastic, variance_regularizer): """Get appropriate loss function for training. Parameters ---------- stochastic : bool determines if policy to be learned is deterministic or stochastic variance_regularizer : float regularization hyperparameter to penalize high varianc...
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def simul_growth_ho_amir(nbstart, run_time, params, name): """Simulate the Ho and Amir model (Front. in Microbiol. 2015) with inter-initiation per origin adder and timer from initiation to division Parameters ---------- nbstart : int number of cells to simulate run_time: int ...
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def variable_id(variable): """Return variable identification for .dot file""" if isinstance(variable, FileAccess): return "a_{}".format(variable.id) act_id = variable.activation_id act_id = "global" if act_id == -1 else act_id return "v_{}_{}".format(act_id, variable.id)
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def node_set_power_state(request, node_id, state, soft=False): """Set power state for a given node. :param request: HTTP request. :param node_id: The UUID or name of the node. :param state: the power state to set ['on', 'off', 'reboot']. :param soft: flag for graceful power 'off' or reboot :ret...
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def __sympyToC_Grad(exprs: list, doOpts: bool = False) -> str: """ creates C code from a list of sympy functions (somewhat optimized). source: https://stackoverflow.com/questions/22665990/optimize-code-generated-by-sympy and modified """ tmpsyms = sympy.numbered_symbols("tmp") if doOpts: s...
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def startServer(mock=True, mockS3=False): """ Test cases that communicate with the server should call this function in their setUpModule() function. """ # If the server starts, a database will exist and we can remove it later dbName = cherrypy.config['database']['uri'].split('/')[-1] usedDBs...
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def get_loans(m='BTC_ETH'): """ """ pass
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def index(): """User friendly index page at the root of the server guides the user to the reportss """ return render_template('index.html')
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def read_lookup(infile): """ ----------------------------------------------------------------------------- Read data from a lookup database. Inputs: infile [string] Input file containing the lookup data base. Outputs: [tuple] each element of the tuple is a numpy array. The elements in ...
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def sum_function(context, nodeset, string): """ The dyn:sum function calculates the sum for the nodes passed as the first argument, where the value of each node is calculated dynamically using an XPath expression passed as a string as the second argument. http://www.exslt.org/dyn/functions/sum/inde...
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def event_detail(request, id): """ Return a JSON dict mapping for event given id """ event = get_object_or_404(Event, pk=id) event_dict = { "success": 1, "result": [{ "id": event.id, "title": event.title, "description": event.description, "...
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def main(args): """ Main interface """ if args.outdir != '' and not os.path.isdir(args.outdir): os.makedirs(args.outdir) # load metdata {seq_uuid : taxon} idx, ntaxa = load_meta(args.metadata) # load clusters clst = {} clst['rrna'] = load_uclust(args.uclust, idx) clst['cd...
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def test_backup(dbsession, ini_settings): """Execute backup script with having our settings content.""" f = NamedTemporaryFile(delete=False) temp_fname = f.name f.close() ini_settings["websauna.backup_script"] = "websauna.tests:backup_script.bash" ini_settings["backup_test.filename"] = temp_fn...
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def prepare_state(qubits: list[cirq.Qid], x: int) -> list[cirq.Gate]: """Prepare qubits into an initial state. Args: qubits: The qubits to prepare. x: The initial state of the qubits. Must be non-negative. Returns: A list of gates to prepare the qubits. Raises: ValueEr...
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def manage(id): """Manage room request.""" room_request = RoomRequest.query.get(id) if room_request is None: return abort(404) return render_template('room_request/manage.html', room_request=room_request)
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def ger(self, y): """Computer an outer product between two vectors""" assert self.dim() == 1 and y.dim() == 1, "Outer product must be on 1D tensors" return self.view((-1, 1)).matmul(y.view((1, -1)))
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def test_resolution_norm(): """Tests resolution gaussian """ p = np.array([0., 0., 1., 0., 0., 1.43, 23867.71, 22311.93, 20739.82]) a, b = np.linspace(-1, 1, 501), np.linspace(-1, 1, 501) q = np.meshgrid(a, b, sparse=True) y = functions.resolution(p, q) integ = simps(simps(y, b), a) asse...
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def interpret(input, debug=False): """Downloads data and runs commands as per the Arx file.""" if debug: log.configure(level='debug') data = yaml.load(input.read()) task = Task(data) task.run()
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def delete_request(user_id): # удаление запроса """ :param user_id: user_id :return: удаление запроса """ global connect global cursor cursor.execute("DELETE FROM Requests WHERE toUserID={0}".format(user_id)) connect.commit()
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