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def broad_sel_egress_queue( data # type: "XDR Data" ): """Broadcom Selected Egress Queue - Type: Flow, Enterprise: 4413, Format: 1""" datagram = {} datagram["Queue"] = packet_direction(data.unpack_uint()) data.done() # Verify all data unpacked return datagram
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async def test_login_success(aresponses, login_success_response): """Test a successful login and API object creation.""" aresponses.add( "mysecurity.eufylife.com", "/api/v1/passport/login", "post", aresponses.Response(text=json.dumps(login_success_response), status=200), ) ...
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def _earlygetopt(aliases, args): """Return list of values for an option (or aliases). The values are listed in the order they appear in args. The options and values are removed from args. >>> args = ['x', '--cwd', 'foo', 'y'] >>> _earlygetopt(['--cwd'], args), args (['foo'], ['x', 'y']) >...
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def cluster_leftovers(times, waveforms): """Reassign all datapoints labeled -1""" time_joined_waveforms = np.hstack([ waveforms, (times - np.mean(times))[:, None] / 3600.0 ]) time_based_umap = umap.UMAP(n_components=3, n_neighbors=10, min_dist=0.01).fit_transform( time_joined_wa...
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def cue_iti_responding(timecode, eventcode, code_on, code_off, counted_behavior): """ :param timecode: list of time codes from operant conditioning file :param eventcode: list of event codes from operant conditioning file :param code_on: event code for the beginning of a cue :param code_off: event c...
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def rmse(a, b): """Root Mean Square Error""" return np.sqrt(np.mean(np.sum((a - b)**2, axis=1)))
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def write_to_latex(arr, title, m, function_type, region, save_outputs): """ Write outputs to latex. Parameters ---------- arr: array Convert arr to a Pandas dataframe and then write to latex. title : string Name of saved outputs. m : integer Number of...
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def ensure_shape(tensor, shape): """Raises a ValueError if the input tensor doesn't have the expected shape.""" real_shape = tensor.get_shape().as_list() failing = False if len(real_shape) != len(shape): failing = True if not failing: for dim, si in enumerate(shape): if si != -1 and si != real_s...
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def ais6tobitvecSLOW(str6): """Convert an ITU AIS 6 bit string into a bit vector. Each character represents 6 bits. This is for text sent within ais messages If the original BitVector had ((len(bitvector) % 6 > 0), then there will be pad bits in the str6. This function has no way to know how man...
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def test_model_backup_loading(shapes_image_size, shapes_sample_config, shapes_temp_dir): """Test the model checkpoint recovering """ config = read_config(shapes_sample_config) label_ids = [x['id'] for x in config['labels'] if x['is_evaluate']] cnn = FeatureDetectionNetwork("test", image_size=shapes...
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def get_footprint( site: str, domain: str, height: str, model: str = None, start_date: Timestamp = None, end_date: Timestamp = None, species: str = None, ) -> FootprintData: """ Get footprints from one site. Args: site: The name of the site given in the footprints. This ...
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def test_fbeta_score_binary_labels(): """Test of `fbeta_score` with binary labels.""" y_pred = np.array([1, 1, 1, 0, 1]) y_true = np.array([0, 1, 1, 1, 1]) assert fbeta_score(y_pred, y_true, 0.5) == 0.75
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def _daemon_thread(*a, **kw): """ Create a `threading.Thread`, but always set ``daemon``. """ thread = Thread(*a, **kw) thread.daemon = True return thread
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def test_feature_view_inference_respects_entity_value_type(simple_dataset_1): """ Tests that feature view inference still respects an entity's value type. """ # TODO(felixwang9817): Remove this test once entity value_type is removed. with prep_file_source(df=simple_dataset_1, timestamp_field="ts_1")...
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def fib(n): # write Fibonacci series up to n """Print a Fibonacci series up to n.""" a, b = 0, 1 while a < n: print(a, end=' ') a, b = b, a+b print()
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def autolink(text, trim_url_limit=None, nofollow=False): """ Converts any URLs in text into clickable links. Works on http://, https:// and www. links. Links can have trailing punctuation (periods, commas, close-parens) and leading punctuation (opening parens) and it'll still do the right thing. If...
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def chunks(l, n): """ https://stackoverflow.com/a/1751478 """ n = max(1, n) return (l[i : i + n] for i in range(0, len(l), n))
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def update_status(syn: Synapse, main_queue: str, internal_queue: str, config: dict): """If internal submission is invalid, then make update main leaderboard with site_submission_status to INVALID Args: syn: Synapse connection """ main_sub_viewid = config[int(main_queue)]['...
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def make_0235(pc): """EXP/JOBEXP""" result = pack_int(0) #EXP(x0.1%) result += pack_int(0) #JobEXP(x0.1%) result += pack_byte(0) #WarRecodePoint result += pack_int(0) #ecoin return result
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def np_hsv_value_histogram(v): """ Create Matplotlib histogram of value values for an HSV image and return the histogram as a NumPy array image. Args: v: Value values as a 1-dimensional float NumPy array Returns: Matplotlib histogram of saturation values converted to a NumPy array image. """ title...
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def test_invalid_pay_system(session, public_user_mock): """Test invalid data.""" from pay_api.factory.payment_system_factory import PaymentSystemFactory # noqa I001; errors out the test case from pay_api.exceptions import BusinessException with pytest.raises(BusinessException) as excinfo: Pay...
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def get_stock(stock: str, beg: datetime, fin: datetime): """gets stock data and writes .csv file""" new_beg = datetime(beg.year, beg.month, beg.day - 1) df = yf.download(stock, start=new_beg, end=fin) return df
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def is_case_special_activated(b, location, k): """Teste si le toit n'est pas affiché en raison de la position de Knil""" x, y = location x0, y0 = getOrigin(b) kx, ky = Knil.getPos(k) knil_case = getCase(b, kx+x0, ky+y0) special_attrib = bool("special_case" in knil_case.keys()) case = getCase(b, x, y) if "spec...
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def plugin_zip(p): """Maps columns to values for each row in a plugins sql_response and returns a list of dicts Parameters ---------- p : :class:`taniumpy.object_types.plugin.Plugin` * plugin object Returns ------- dict * the columns and result_rows of the sql_response in P...
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def write_results(response, results_file=RESULTS_FILE): """Write tracking API results for labels into /tracking/results.csv.""" logging.info("Entering write_results() function") with open(results_file, "w", newline="") as file: csv_writer = writer(file) headers = response["results"][0].keys...
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def species_list(): """ """ spc_081 = ( SpeciesFactory( spc="081", spc_nmco="lake trout", spc_nmsc="Salvelinus namaycush" ), ) spc_091 = ( SpeciesFactory( spc="091", spc_nmco="lake whitefish", spc_nmsc="Coregonus clupeaformis" ), ) spc_093...
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def enable_dump_permission(sdk_path, device_id, dest_dir, package_name): """Enable the DUMP permission on the specified and installed Android app. """ print 'Starting dump permission grant' perm_command = [os.path.join(sdk_path, 'platform-tools', 'adb'), '-s', device_id, ...
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def get_annotated_sentences(sentences: pd.DataFrame) -> Tuple[ List[int], List[Tuple[LexicalTreeNode, List[IGTag]]], List[str] ]: """ :param sentences: DataFrame of sentences with sentence type (r/c) - output of get_sentence_type :return: Tuple with tagged tokens and used layers """ tre...
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def ping(host): """ Returns True if host responds to a ping request """ # Ping parameters as function of OS ping_num_param = "-n" if platform.system().lower() == "windows" else "-c" # Ping return subprocess.run(['ping', ping_num_param, '1', host], stdout=subprocess.DEVNULL, stderr=subproce...
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def get_content_message_handler( callback: Callable[[Update, CallbackContext], Any] ) -> MessageHandler: """ Creates a universal message handler, that catches all messages, that should be considered as diary content. :param callback: Function to be ran when such message is caught :return: `MessageH...
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def get_string_from_ascii(input): """ This function is reversed engineered and translated to python based on the CoderUtils class in the ELRO Android app :param input: A hex string :return: A string """ try: if len(input) != 32: return '' byt = bytearray.fromhex...
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def test_ControlFlowGraph_unequal_graph_names_are_equal(): """Test that graph names are not used in comparison.""" # Graph 1: A --> B g1 = control_flow_graph.ControlFlowGraph(name="foo") g1.add_node(0, name="A", entry=True) g1.add_node(1, name="B", exit=True) g1.add_edge(0, 1) # Graph 2: A --> B g2 = c...
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def admin_new_prompt(): """ get: resets prompt """ if session.get('admin') is True: random_generator() flash('New random prompt generated') return redirect(url_for('.admin')) abort(404)
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def split_multiline(value): """Special behaviour when we have a multi line options""" value = [element for element in (line.strip() for line in value.split('\n')) if element] return value
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def get_price_change_rate(order_book_ids, start_date=None, end_date=None, expect_df=False, market="cn"): """获取价格变化信息 :param order_book_ids: 股票列表 :param start_date: 开始日期: 如'2013-01-04' :param end_date: 结束日期: 如'2014-01-04';在 start_date 和 end_date 都不指定的情况下,默认为最近3个月 :param expect_df: 返回 DataFrame (Defa...
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def positive_x_gradient(x, constants, variables): """ Returns gradients of the positive x constraints. :param np.ndarray x: Parameters of updated Voce-Chaboche model. :param dict constants: Defines the constants for the constraint. :param dict variables: Defines constraint values that depend on x. ...
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def pretty(states: List[str]) -> None: """Pretty print of one or more 8-puzzle boards Parameters ---------- states : List[str] List of linear representations of 8-puzzle boards """ for state in states: print(state[:3]) print(state[3:6]) print(state[6:]) p...
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def create_borrow_time_list(config): """create a list of borrow time limits""" limit_list = [] current = 0 for i in range(MAX_LEVEL + 1): current = max(current, config['core']['borrow time limit'].get(str(i), 0)) limit_list.append(current) config['core']['borrow time limit'] = limit_...
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def _to_pdb_ccd_cif_dict(component): """Export component to the PDB CCD CIF file. Args: component (pdbeccdutils.core.Component): Component to be exported. Returns: (dict of str: str)): dictionary representation of the component to be serialized as a cif file. ""...
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def create_random_individual(cities, solutions): """Create random individual from cities list.""" cities = copy(cities) random.shuffle(cities, random.random) new_individu = Individual(cities) while(new_individu in solutions): random.shuffle(cities, random.random) new_individu ...
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def git_src_dir(projects_yaml, project): """ Return the directory where the specified project's source is located. """ parent_dir = '/mnt/openstack-git' projects = _git_yaml_load(projects_yaml) if 'directory' in projects.keys(): parent_dir = projects['directory'] for p in projects...
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def yield_stdev( model: pyhf.pdf.Model, parameters: np.ndarray, uncertainty: np.ndarray, corr_mat: np.ndarray, ) -> Tuple[List[List[float]], List[float]]: """Calculates symmetrized yield standard deviation of a model, per bin and channel. Returns both the uncertainties per bin (in a list of cha...
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def limit_carbon(comp, C_limit=25): """True if the compound exceeds the carbon atom limit, otherwise False.""" regex = re.compile('[A-Z]{1}[a-z]*[0-9]*') try: formula = comp['Formula'] except KeyError: try: comp_id = comp['_id'] except KeyError: comp_id = ...
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def main(file_name, port): """HTTP Backend API for Grafana Annotations.""" global annotation_db annotation_db = Annotation(file_name) annotation_db.dump() app.run(host = '0.0.0.0', port = port, debug = True, threaded=True)
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async def add_premis_event( base_path, workspace_path, event_type, event_datetime, event_detail, event_outcome, event_target=None, event_outcome_detail=None, **kwargs): """ Add a PREMIS event using dpres-siptools tool 'premis-event' """ args = [ "premis-event", "--base_pa...
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def xmlprettify(elem: lxml.html.HtmlElement, chars: str=' ', _level: int=1): """ prettify the given element-tree w/ new indentations :param elem: element being prettified :param chars: characters used for single indent :param _level: internal variable used to track indent level """ star...
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def create_vocab_dictionaries(args): """Takes as input the path for an annotated freebase data file, and returns dictionaries word2ix, ix2word w.r.t the questions found in the file""" sbj_mid, predicate, obj_mid, question = DataCreator.get_spo_question(args.path_load_sq, ...
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def send_get_request(url, params=None): """ Return HTTP GET decoded JSON response as dict. """ response = request_get(url, params=params) if response.status_code != HTTP_200_OK: exception(response) return '' return response.json()
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def restore_cursor() -> None: """Restore cursor position saved by `save_cursor()`""" # _tput(['rc']) _stdout.write("\x1b[u")
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def MakeListComprehensionFunction (name, nsets): """Returns a function applicable to exactly <nsets> sets. The returned function has the signature F(set0, set1, ..., set<nsets>) and returns a list of all element combinations as tuples. A set may be any iterable object. """ if nsets <...
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def local_t_star(gdir, *, ref_df=None, tstar=None, bias=None, clip_mu_star=None, min_mu_star=None, max_mu_star=None): """Compute the local t* and associated glacier-wide mu*. If ``tstar`` and ``bias`` are not provided, they will be interpolated from the reference t* list (``ref_df``). ...
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def transform_trace_log_to_event_log(log, include_case_attributes=True, case_attribute_prefix='case:'): """ Converts the trace log to an event log Parameters ---------- log: :class:`pm4py.log.log.TraceLog` A trace Log includes_case_attributes: Default is True case_attribute_...
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def avg_pool(x, inds): """ Pools features with the maximum values. :param x: [n1, d] features matrix :param inds: [X, X, ..., X, max_num] pooling indices :return: [X, X, ..., X, d] pooled features matrix """ # Add a last row with minimum features for shadow pools x = torch.cat(...
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def validate_ip_address(ip_address): """Return True if the provided IP address is a valid IPv4 or IPv6 address""" return validate_ipv4_address(ip_address) or \ validate_ipv6_address(ip_address)
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def lambda_remove_resource_policy(**kwargs): """Remove lambda resource policy.""" response = aws_lambda.remove_permission(**kwargs) log.info("lambda_remove_resource_policy: {}".format(response)) return response
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def gen_f_array(a,b,n): ### The tests are failing due to the extra indent space in the line below this one """gen_f_array(a, b, n=1000) Generate a discrete approximation of y = x^2, including its domain and range, stored as a pair of numpy arrays. Args: a (float) : Lower boun...
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def getDiskImages(db: ArtifactDB, limit: int = 0) -> Iterator[Artifact]: """Returns a generator of disk images (type = disk image). Limit specifies the maximum number of results to return. """ return _getByType(db, 'disk image', limit)
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async def add_unconfirmed_transaction(transaction: Transaction): """ broadcasts transactions to all nodes """ sender_signature = transaction.sender_signature pub_sender_key = transaction.sender_public_send_key receiver = transaction.receiver amount = transaction.amount new_transaction = bl...
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def new_jobcards(args): """command for drawing shortcut""" core.jobcards(*args)
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async def test_manifest_get(opp, websocket_client): """Test getting a manifest.""" hue = await async_get_integration(opp, "hue") await websocket_client.send_json( {"id": 6, "type": "manifest/get", "integration": "hue"} ) msg = await websocket_client.receive_json() assert msg["id"] == 6...
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def delete_main_and_details_dashboards(existing_dashboards): """Delete specified dashboards :param existing_dashboards: the dashboards to delete :type existing_dashboards: list """ print('You have chosen to delete the existing dashboards. Deleting the dashboards now ...') delete_command = 'aws ...
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def _add_response_chain ( chain , *args ) : """Specific axction to ROOT.TChain """ import ostap.trees.trees files = chain.files() cname = chain.GetName() status = None verbose = True and 1 < len ( files ) from ostap.utils.progress_bar import progress_bar for f...
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def mod_launch_rpc_thread(mode, mod, args, outputs, results, need_retry, retry, tuning=False): """internal RPC thread, should be called by mod_launch_rpc_multithread.""" remoteevb = '0' host = None port = None env_dic = os.environ if env_dic.get('RPC_HOST') and env_dic.get('RPC_PORT'): h...
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def center_align_x(shapes): """ Returns a constraint setting the shapes' centers' x-coordinates equal. """ s = FreshSymbol(REAL) return And(Equals(shape.center.x, s) for shape in shapes)
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def test_ps_s3_topic_on_master(): """ test s3 topics set/get/delete on master """ zones, _ = init_env(require_ps=False) realm = get_realm() zonegroup = realm.master_zonegroup() bucket_name = gen_bucket_name() topic_name = bucket_name + TOPIC_SUFFIX # clean all topics delete_all_s3_topi...
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def locate_qr_code_using_slider(image, scanner): """Try sliding a window over the image to search for the QR code.""" for slider in window_slider(image): cropped = image.crop(slider) results = scanner.scan(cropped) if results: box = bbox(results) # Box is relative...
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def load(path): """ Imports a previously saved session from disk :type path: str :param path: path to the previously saved session """ # Load parameters and paths from a JSON file for name in ['parameters', 'paths']: fullfile = os.path.join(_full(path), f"seisflows_{name}.json") ...
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def ParseRegionalFlags(args, resources, message=None): """Make Frontend suitable for RegionalLister argument namespace. Generated client-side filter is stored to args.filter. Args: args: The argument namespace of RegionalLister. resources: resources.Registry, The resource registry message: The respo...
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def GetArgs(): """ Supports the command-line arguments listed below. """ parser = argparse.ArgumentParser(description='A utility to perform various conversions for the ZeroOne project') parser.add_argument('-i', '--input', required=True, action='store', help='Specify the name of the input file') ...
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def __virtual__(): """ Only load if boto libraries exist. """ has_boto_reqs = salt.utils.versions.check_boto_reqs() if has_boto_reqs is True: __utils__["boto3.assign_funcs"](__name__, "sns") return has_boto_reqs
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def test_sum_prod_utility(): """Test the summation and product utility.""" v = Vec('v') vecs = [v[i] for i in range(3)] v0, v1, v2 = vecs # The proxy object cannot be directly compared. assert parse_terms(sum_(vecs)) == parse_terms(v0 + v1 + v2) assert parse_terms(prod_(vecs)) == parse_ter...
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def GetRegionFromZone(zone_or_region): """Returns the region a zone is in (or "zone_or_region" if it's a region).""" if IsRegion(zone_or_region): return zone_or_region return zone_or_region[:-1]
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def plot_progress(param_str=None, log_filen=log_file, open_spectrum=True): """ Plot progress during serch, search_range, and search_grid :param param_str: [None] parameter to search for :param log_filen: ['backups/conuss_log.txt'] log file name :param open_spectrum: [True] open a pdf file of spectr...
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def unhtmlify(html): """ Remove html-tags and unescape encoded html-entities. :param html: Evil-string containing html :return: """ return unescape(re.sub(r'<.*?>', '', html))
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def CalculatePath3(mol): """ ################################################################# Calculation of the counts of path length 3 for a molecule ################################################################# """ return _CalculatePathN(mol, 3)
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def _preferred_string(value1, value2): # pylint:disable=too-many-return-statements """ Retrieves preferred title from both values. :param value1: :type value1: str :param value2: :type value2: str :return: The preferred title :rtype: str """ if value1 == value2: return v...
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def load_nets(name: str, in_shape: List[int], bias=False, **kwargs) -> torch.nn.Module: """ Creates an instance of a network architecture. :param name: name of the model of which an instance is to be created. :param in_shape: shape of the inputs the model expects (n x c x h x w). :param bias: whethe...
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def timestamp_to_epoch(timestamp: str) -> int: """Takes a `timestamp` str and attempts to convert it to an epoch value using the list of known time stamp formats. :param timestamp: str :return: int """ for ts_fmt in KNOWN_TIMESTAMP_FORMATS: try: return pendulum.from_format(...
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def get_labels_from_responsibility_string(responsibility_string, include_none=False, warn_on_legacy_responsibilities=True): """ :param responsibility_string: :param include_none: If 'none' should be included in the returned list when no other responsibilities are present :return: """ if respons...
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def setter_func(): """ The MAIN function.... """ st.sidebar.header("Select Input Mode") selected_mode = st.sidebar.selectbox('Modes', modes) st.sidebar.header("Select number of words you want to use") selected_word_count = st.sidebar.selectbox( "No of words", range(10, 1000, 10)) typ =...
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def get_saved_session(**kwargs): """Gets a SessionState object for the current session. Creates a new object if necessary. Parameters ---------- **kwargs : any Default values you want to add to the session state, if we're creating a new one. Example ------- >>> session...
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def frame_center_satspots(array, xy, subim_size=19, sigfactor=6, shift=False, debug=False): """ Finds the center of a frame with waffle/satellite spots (e.g. for VLT/SPHERE). The method used to determine the center is by centroiding the 4 spots via a 2d Gaussian fit and finding t...
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def prev_surname(prev_surname_val: str, **kwargs) -> ValidatedRecord: """Coerce and validate previous surname. Validation rules: Must contain only uppercase alphabetic characters and space, apostrophe or hyphen. Max length 35. Args: prev_surname_val (str): Previous surname to validate. Re...
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def class_in_endpoint(class_, entrypoint): """Check if a given class is in the EntryPoint object as a class.""" regex = r'(vocab:)?(.*)EntryPoint/(.*/)?' + re.escape(class_["title"]) + r'$' # Check supportedProperty for the EntryPoint try: supportedProperty = entrypoint["supportedProperty"] ...
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def compute_mean_median(all_methods_df): """ Computes the mean values and the median values for each column of the Pandas.DataFrame grouped by the methods. Parameters ---------- all_methods_df : Pandas.DataFrame Returns ------- list - means: Pandas.DataFrame containing the ...
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def get_circumsphere(S): """ Computes the circumsphere of a set of points Parameters ---------- S : (M, N) ndarray, where 1 <= M <= N + 1 The input points Returns ------- C, r2 : ((2) ndarray, float) The center and the squared radius of the circumsphere """ U = ...
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def random_mac(separator='', uppercase=False, oui=''): """return random mac address. OUI should not contain separators""" if len(oui) == 6 and is_hex(oui): digits = textwrap.wrap(oui, 2) digits += [format(randrange(256), '02x') for _ in range(3)] else: digits = [format(randrange(256)...
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def unmold_boxes_x(boxes, class_ids, masks, image_shape, window, scores=None): """Reformats the detections of one image from the format of the neural network output to a format suitable for use in the rest of the application. detections: [N, (y1, x1, y2, x2, class_id, score)] masks: [N, height, wid...
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def iter_nearest_neighbours(umis, substr_idx): """ Use substring dict to get (approximately) all the nearest neighbours to each in a set of UMIs. """ for u in umis: neighbours = set() for idx, substr_map in substr_idx.items(): u_sub = u[slice(*idx)] neighbours...
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def get_volumes_in_pool_recycle_bin(session, pool_id, start=None, limit=None, return_type=None, **kwargs): """ Retrieves a list of volumes in the pool's recycle bin. :type session: zadarapy.session.Session :param session: A valid zadarapy.session.Session object. Req...
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def max_change(model, max_param_change=2.0, max_change_scale=1.0, scale=1.0): """Untested implementation of max_param_change in Kaldi""" scale_factors = [] num_components_updated = 0 for i, p in enumerate(model.parameters()): if i == 0: device = p.device max_param_change ...
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def test_interpolator(): """Test that interpolate method works as true projectors.""" random = np.random.default_rng(seed=42) nu_train = np.linspace(1, 10, num=101) physical_points = np.linspace(0, 1, 1001) training = np.array([BesselJ(nn, physical_points) for nn in nu_train]) RB = arby.reduc...
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def test_build_has_clnsig( adapter, case_obj, ): """Test building query to retrieve all variants with ClinVar tag""" case_id = case_obj["_id"] query = {"clinvar_tag": True} mongo_query = adapter.build_query(case_id, query=query) assert {"clnsig": {"$exists": True}} in mongo_query["$and"] ...
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def get_cosinebased_yaw_pitch(input_: torch.Tensor) -> torch.Tensor: """ Returns a tensor with two columns being yaw and pitch respectively. For yaw, it uses cos(yaw)'s value along with sin(yaw)'s sign. Args: input_: 1st column is sin(yaw), 2nd Column is cos(yaw), 3rd Column is sin(pitch) ""...
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def test_interpolation(): """Test setting image interpolation mode.""" shapes = [(40, 20), (20, 10), (10, 5)] np.random.seed(0) data = [np.random.random(s) for s in shapes] layer = Image(data, multiscale=True) assert layer.interpolation == 'nearest' layer = Image(data, multiscale=True, inte...
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def generate_episode_statistics(trackers: Iterable['Tracker'] ) -> AgentStatisticsMap: """Generate episode statistics from set of trackers """ statistics = combine_statistics([t.get_episode() for t in trackers]) return statistics
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def main(): """ """ parser = argparse.ArgumentParser( formatter_class=argparse.RawDescriptionHelpFormatter) parser.add_argument("INPUT", type=argparse.FileType('r'), help="distribution file") parser.add_argument("-c", dest="cutoff", type=int, default=150, help="cutoff value")...
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def save_debug_image( name, image, out_debug_image_dict ): """ If output_debug_image_dict isn't None, save the given image in the dict as a compressed array. """ if out_debug_image_dict is None: return if hasattr(image, 'axistags'): axistags=image.axistags else: axis...
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def GaussElimination(MATRIX,B): """ Applies Gauss Elimination Algorithm to MATRIX in order to solve a linear system MATRIX.X = B. MATRIX is transformed to row echelon form: |1 * * * * * | |0 1 * * * * | |0 0 1 * * * | |0 0 0 1 * * | |0 0 0 0 1 * | |0 0 ...
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def main(): """ Main Function of the program where we construct objects of tictactoe_game class and player class. We also plot the result in this function. """ player1 = Player() player2 = Player() player3 = Player() player1.qlagent() player2.human() player1 = player1.kind player2 = player2.kind pickle_in = ...
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