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def validate(val_loader, model, crf_criterion, vb_decoder): """ Performs one epoch's validation. :param val_loader: DataLoader for validation data :param model: model :param crf_criterion: viterbi loss layer :param vb_decoder: viterbi decoder :return: validation F1 score """ model.e...
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async def test_reloadable_late(hass, mqtt_client_mock, caplog, tmp_path): """Test reloading the MQTT platform with late entry setup.""" domain = sensor.DOMAIN config = DEFAULT_CONFIG[domain] await help_test_reloadable_late(hass, caplog, tmp_path, domain, config)
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def base_context(request): """ `nav_category` gets a default value here, but you can override it by setting a `nav_category` property on the `request` object to the value you want. """ user = request.user following, following_truncated = [], [] if user.is_authenticated(): following ...
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def sort_box(box): """ 对box排序,及页面进行排版 box[index, 0] = x1 box[index, 1] = y1 box[index, 2] = x2 box[index, 3] = y2 box[index, 4] = x3 box[index, 5] = y3 box[index, 6] = x4 box[index, 7] = y4 """ box = sorted(box,key=lambda x:sum([x[1],x...
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def main(): """Start the program and call the functions.""" data, features, prices = get_data('Data/housing.csv') # Shuffle and split the data into training and testing subsets X_train, X_test, y_train, y_test = train_test_split(features, prices, test_size=0.20, random_state=42) print("\n** 20% of...
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def test_tls_only_client_leaf_trusted_and_fingerprint_of_client_CA( mgr, temp_chains, cleanup ): """Verify that when the server only trusts the client's leaf certificate but has a cert-to-name fingerprint that matches the client's root CA the connection is accepted""" do_cert_test( mgr...
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def authGSSServerInit(service): """ Initializes a context for GSSAPI server-side authentication with the given service principal. authGSSServerClean must be called after this function returns an OK result to dispose of the context once all GSSAPI operations are complete. @param service: a string co...
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def get(proj_dir, key) : """return settings value by key, default value if the value doesn't exist in the project-local settings file :param proj_dir: absolute project directory :param key: settings key :returns: settings value, default value for key, or None """ util.e...
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def test_plugin_msteams_templating(mock_post, tmpdir): """ NotifyMSTeams() Templating """ # Disable Throttling to speed testing plugins.NotifyBase.request_rate_per_sec = 0 # Prepare Mock mock_post.return_value = requests.Request() mock_post.return_value.status_code = requests.codes.ok ...
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def pair_correlation_neighbor_list( displacement_or_metric: Union[DisplacementFn, MetricFn], box_size: Box, radii: Array, sigma: float, species: Array=None, dr_threshold: float=0.5): """Computes the pair correlation function at a mesh of distances. The pair correlation function measures the...
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def generate_trade_id(): """ 采取一定规则生成一个11位的交易号 """ import time, random trade_id = str(time.time()) trade_id = trade_id[:3] + str(random.randint(1000, 10000)) + trade_id[7:10] + trade_id[11] return trade_id
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def clean_ranks(menu_items): """ Resets ranks from 0 to n, n being the number of items. """ rank = 0 for menu_item in menu_items: menu_item.rank = rank menu_item.save() rank += 1
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def area(spectra, energy, a, b): """ This function helps to determinate area under each photopeak through, trapeziodal method. Where: spectra: net count rate vector energy: energy vector a: lower limit b: upper limit """ spec = [] spec = spectra ...
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def get_task_app_id(task_id): """ Return the application id associated to the given task_id :param task_id: Task id :return: The associated application id associated to the given task id """ global fgapisrv_db task_info = fgapisrv_db.get_task_info(task_id) app_record = task_info.get('app...
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def create_tuple_1(t0_type_info: CLTypeInfo): """Returns CL type information for a byte array. :param CLTypeInfo t0_type_info: Type information pertaining to first tuple element. """ return CLTypeInfoForTuple1( typeof=CLType.TUPLE_1, t0_type_info=t0_type_info )
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def request_path( request ): """ Get the path of the request """ return str(request.path)
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def user_activity_list( user_id: str, limit: int, offset: int ) -> list[Activity]: """Return user_id's public activity stream. Return a list of all activities from or about the given user, i.e. where the given user is the subject or object of the activity, e.g.: "{USER} created the dataset {DATASE...
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def add_bridge(interface): """Add a bridge. :param interface: the name of the bridge """ processutils.execute('brctl', 'addbr', interface)
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def test_return_project_list_old_method(): """Test that projects can be returned iva the original function in the Config class""" result = False config_obj = prism.Config(api_client=_api()) projects = config_obj.get_projects() if projects: result = True assert not result
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def test_cps1(): """Test module cps1.py by downloading cps1.csv and testing shape of extracted data has 15992 rows and 10 columns """ test_path = tempfile.mkdtemp() x_train, metadata = cps1(test_path) try: assert x_train.shape == (15992, 10) except: shutil.rmtree(test_path) raise()
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def thirtythree(): """http://cryptopals.com/sets/5/challenges/33/""" dh_params = matasano.public.dh_keys() print("Generated DH keys:\n{},\n{}.".format( dh_params.priv, dh_params.pub ))
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def repo_file(repo, *path, mkdir=False): """ """ if repo_dir(repo, *path[:-1], mkdir=mkdir): return repo_path(repo, *path)
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def executable_directory(): """Always determine the directory of the executable, even when run with py2exe or otherwise frozen""" executable = get_executable() path = os.path.abspath(os.path.dirname(executable)) return path
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def rescale(x, y, coeff, mx, my): """ Rescale x y - axis. Args: x: (todo): write your description y: (todo): write your description coeff: (todo): write your description mx: (todo): write your description my: (todo): write your description """ # Bring the da...
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def node_restart_silencer(alert: PrometheusKubernetesAlert, params: NodeRestartParams): """ Silence alerts for pods on a node that recently restarted. """ if not alert.pod: return # Silencing only pod alerts on NodeRestartSilencer # TODO: do we already have alert.Node here? node: Node ...
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def lang_code_search(search_term, script_search): """ Returns a tuple: name of a code or a script, is it a script? (that's a boolean) :param search_term: The term we're looking for. :param script_search: A boolean that can narrow down our search to just ISO 15925 script codes. :return: """ ...
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def finish(): """ Used at the end of each test to check if it passed and print the answer """ check_test_in_progress() global test_failed, n_failed_tests, test_in_progress if test_failed: n_failed_tests += 1 print("Test failed") else: print("Test passed") test_in_...
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def wrap_carracing(env, clip_rewards=True, frame_stack=True, scale=False): """Configure environment for DeepMind-style Atari. """ env = WarpFrame(env) if scale: env = ScaledFloatFrame(env) if clip_rewards: env = ClipRewardEnv(env) if frame_stack: env = FrameStack(env, 4) ...
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def continuum_imaging_workflow(vis_list, model_imagelist, context='2d', **kwargs): """ Create graph for the continuum imaging pipeline. Same as ICAL but with no selfcal. :param vis_list: :param model_imagelist: :param context: Imaging context :param kwargs: Parameters for functions in ...
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def uneven_subsequent_mask(x_size: int, y_size: int) -> Tensor: """ Mask out subsequent positions (to prevent attending to future positions) Transformer helper function. :param size: size of mask (2nd and 3rd dim) :return: Tensor with 0s and 1s of shape (1, size, size) """ mask = np.triu(np...
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def getTraceSpec(): """ Return the module traceSpec used by all instances of Trace. """ return Trace.traceSpec
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def _get_version_from_git(): """ Use the git tag to get a PEP compliant version string """ tag = _get_most_recent_git_tag() # e.g. 1.0.1-4-f0f0333 m = re.match( r"(?P<version>\d+\.\d+\.\d+)(?:-(?P<nadd>\d+)-(?P<hash>.+))?", tag) if not m: raise RuntimeError("Git tag d...
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def find(json, search_text): """ Takes a JSON string and a search string and output a list of matching keys, values and text. """ assert isstr(json) or is_dict_or_list(json) assert isstr(search_text) if sys.version[0] == '2' and type(search_text) is str: search_text = search_text.dec...
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def _token_param_shape(): """Shape used in place of tokens as top-level computation arguments.""" return xc.Shape.array_shape(np.dtype(np.bool_), [])
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def _is_amplitude_valid(symbolic_pulse: "SymbolicPulse") -> bool: """A helper function to validate maximum amplitude limit. Result is cached for better performance. Args: symbolic_pulse: A pulse to validate. Returns: Return True if no sample point exceeds 1.0 in absolute value. ""...
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def _sub_hash_password(password): """ Hash long password to allow bcrypt to handle password longer than 72 characters. :param password: password to hash. :return: (String) The hashed password. """ # bcrypt only handles passwords up to 72 characters. # We use this hashing method as a work aro...
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def get_default_version_hostname(): """Get the standard hostname of the default version of the app. For example if your application_id is my-app then the result might be my-app.appspot.com. Returns: The standard hostname of the default version of the application. """ return os.getenv('DEFAULT_VER...
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def _find_all_names(): """Find all names in the Python environment. """ with _squash_output(False): for strategy in (ast_walker.ASTWalkerStrategy(), sys_modules_scanner.SysModulesStrategy()): yield from strategy.get_names()
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def _load_restricted_forward(source_vertno1, source_vertno2): """Load forward models and restrict them so that they include source vertices""" fwd_free = mne.read_forward_solution(fname_fwd) fwd_free = mne.pick_types_forward(fwd_free, meg='grad', eeg=False) # Restrict forward vertno_lh = np.ran...
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def action_create_form_for_tickets_creation(article_id, erroneous_form=None): """Show form to register a tickets creation action for the article.""" article = _get_article_or_404(article_id) shop = shop_service.get_shop(article.shop_id) brand = brand_service.get_brand(shop.brand_id) form = ( ...
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def login(request, next_page=None, required=False): """Forwards to CAS login URL or verifies CAS ticket""" service_url = get_service_url(request, next_page) client = get_cas_client(service_url=service_url, request=request) if not next_page and settings.CAS_STORE_NEXT and 'CASNEXT' in request.session: ...
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def autoallocate(file, allocate_type='single', filename='', export_to='xlsx'): """Read and parse a downloaded doode poll (in '.xls' or '.xlsx') where participants are able to choose as many timeslots as possible. Automatically allocate participants to a slot based on their chosen availabilities. Returns dat...
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def raise_api_exceptions(response): """ Parse the response from the API converting errors into exceptions. Args: response - The JSON response from the Janrain API. Raises: ApiResponseError """ if response['stat'] == 'error': logger.debug("Response:\n" + to_json(response...
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def MultIntensity( Fin, Intens): """ *Multiplies the field with a given intensity distribution.* :param Fin: input field :type Fin: Field :param Intens: N x N square array of real numbers or scalar :type Intens: numpy.ndarray, float, int :return: output field (N x N square array of comp...
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def shell(context): """Enter the development shell.""" context.run(f"{Composer} exec --workdir /workspace dev bash", pty=True)
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def from_rgb_to_paletton_hue(rgb, paletton): """ >>> p = Paletton() >>> print(from_rgb_to_paletton_hue((120, 0, 106), p)) 318 """ from colorsys import rgb_to_hsv rhs_hue = round(rgb_to_hsv(*rgb)[0]*360) if rhs_hue not in paletton.HUE_OFFSETS: keys = sorted(paletton.HUE_OFFSETS.ke...
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def set_seed(seed=0): """Set the same seed for all the RNG. Argument: - seed: the specified seed. """ torch.manual_seed(seed) torch.cuda.manual_seed_all(seed) np.random.seed(seed) random.seed(seed)
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def eval(loaded_model, tokenizer, label_encoder, data_in_file,data_out_file,delim=","): """ Prepare the data """ data = [] text_out_file=open(data_out_file,"w") text_out_file.write("text\tclass_label\tconfidence\n"); data_x, data_y, _ = data_preparation.read_test_data(data_in_file, delim, l...
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def run_example( device_id: str, server_host: str = "localhost", server_port: int = 8004, plot: bool = True, stream_rate: int = 12, inputselect_1: int = 16, inputselect_2: int = 32, ): """run the example.""" apilevel_example = 6 # The API level supported by this example. # Call...
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def iread_segy(file, endian=None, textual_header_encoding=None, unpack_headers=False, headonly=False): """ Iteratively read a SEG-Y field and yield single ObsPy Traces. The function iteratively loops over the whole file and yields single ObsPy Traces. The next Trace will be read after th...
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def matmul_default( cfg, tensor_a, tensor_b, bias=None, out_dtype=None, transpose_a=False, transpose_b=False, ): """Matmul operator on GPU""" return nn.matmul(tensor_a, tensor_b, bias, out_dtype, transpose_a, transpose_b)
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def is_range_format(expression: str) -> bool: """判断表达式是否为范围表达式""" range_list = expression.split(BuildInChar.HYPHEN) if len(range_list) != 2: return False return True
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def yukawa_green_function(k: float, alpha: float, kappa: float) -> float: """ Evaluate the Green's function of Coulomb/Yukawa potential. .. math:: G(k) = \\frac{4 \\pi }{\\kappa^2 + k^2} e^{- (k^2 + \\kappa^2)/4 \\alpha^2 } Parameters ---------- k : float, numpy.ndarray Range ...
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def drop_corr_columns(dataframe: pd.DataFrame, drop_columns: bool = True, print_columns: bool = True, threshold: float = 0.98) -> pd.DataFrame: """ Correlated columns eliminator The function drop correlated columns and keep only one of these columns. Usually removing high correlated colum...
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def update_all_PVs(): """Send update events to all connected clients for the PVs which have changed since the last update.""" for PV_name in connected_PVs(): notify_subscribers_if_changed(PV_name, PV_value(PV_name, cached=False))
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def dt_compat_on_bus(kconf, _, compat, bus): """ This function takes a 'compat' and returns "y" if we find an "enabled" compatible node in the EDT which is on bus 'bus'. It returns "n" otherwise. """ if doc_mode or edt is None: return "n" if compat in edt.compat2okay: for node i...
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def rreplace(content, needle, replace): """Recursively replaces all occurrences of needle with replace Args: content (Iter[str]): An iterable of strings on which to perform the replacement needle (str): the value being searched for (an iterable of strings may be used to...
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def floodlight_report(config, task:dict, floodlight_id: int) -> int: """ Create a report for a specific floodlight if it does not exist. Args: floodlight_id - the floodlight being monitored Returns: The id of the created report. """ account_id, subaccount_id = parse_account( config, task['a...
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def init_server(cli_options): """Initialize the flashfocus server with given command line options.""" ensure_single_instance() if cli_options["opacity"]: warn("--opacity is deprecated, please use --flash-opacity/-o instead") if "flash_opacity" not in cli_options: cli_options["fl...
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def test_withdraw_nlocktime(node_factory): """ Test that we don't set the nLockTime to 0 for withdrawal transactions. """ l1 = node_factory.get_node(1) l1.fundwallet(10**4) addr = l1.rpc.newaddr()["bech32"] tx = l1.rpc.withdraw(addr, 10**3)["tx"] nlocktime = node_factory.bitcoind.rpc.de...
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def prep_rays_setup( ghz = 95, lat_of_cen = 10, cml = 20, radius = 1.1, bfield = None, distrib = None, ray_tracer = None, ): """Create and return a VanAllenSetup object that will be used in the "preprays" tool: it precomputes all of the key quantities need...
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def is_admin( channel: TextChannel, user_or_member: Union[discord.User, discord.Member] ) -> bool: """Checks to see if given user or member has the admin role on this server.""" member = ( user_or_member if hasattr(user_or_member, "roles") else channel.guild.get_member(cast(discord.U...
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def test_update_user(mocker): """Tests the update_user function.""" mocked_user_obj = mocker.patch('app.dbops.AppUser') mocked_user = mocked_user_obj.query.filter_by.return_value.first.return_value mocked_user.orgs = [] mocked_db = mocker.patch('app.dbops.db') user = update_user({'name': 'foo', ...
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def get_tsne_hazium_data(is_drawing=False, verbose=False): """ Get TSNE hazium data. Get TSNE with hazium data. Save this with pickle format. Last modified: 2019-11-27T09:42:47+0900 Args: is_drawing (bool): If it is true, this function will draw the tsne plot verbose (bool): Verbosity ...
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def _get_baseline_options(site): """ Extracts baseline options from ``site["infer"]["baseline"]``. """ # XXX default for baseline_beta currently set here options_dict = site["infer"].get("baseline", {}).copy() options_tuple = (options_dict.pop('nn_baseline', None), options_d...
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def _launch_client(gke_settings, stress_server_settings, stress_client_settings, bq_settings, kubernetes_proxy): """ Launches a configurable number of stress test clients on GKE cluster """ if not kubernetes_proxy.is_started: print 'Kubernetes proxy must be started before calling this functio...
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def test_validate_fetch_incidents_parameters_maxfetch(args, message): """Test cases for failure scenarios of validate_fetch_incidents_parameters_success""" from SolarWinds import validate_fetch_incidents_parameters, ERR_MSG with pytest.raises(ValueError, match=ERR_MSG[message]): validate_fetch_incid...
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def find_largest_digit(n): """ :param n: :return:lar """ global lar, new_lar if abs(n) > 0: r = abs(n) % 10 # 取(剩下的數字)最後的數字 用餘數來取 if lar < r: lar = r new_lar = r find_largest_digit(int(n/10)) # 取剩下的數字 lar = 0 # for the next to compare return new_lar
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def theaterChaseRainbow(strip, wait_ms=25): """Rainbow movie theater light style chaser animation.""" for j in range(256): for q in range(3): for i in range(0, strip.numPixels(), 3): strip.setPixelColor(i+q, wheel((i+j) % 255)) strip.show() time.sleep(...
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def convert(value, as_type, source): """Convert the value as a given type where the value comes from the given source""" getter = _get_converter(as_type) try: return getter(value) except Exception as exception: logging.warning("%s failed to convert %r as %r because %r", source, value, ge...
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def extractMatrix( source, bounds=None, boundsSRS="latlon", maskBand=False, autocorrect=False, returnBounds=False, band=1, ): """extract all or part of a raster's band as a numpy matrix Note: ----- Unless one is trying to get the entire matrix from the raster dataset, usage ...
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def solveKnightsTour(n): """ function to solve the Knight Tour problem using Backtracking, It calls the recursive function with the required parameters Print one of the possible solution """ # initialization og board matrix all boxes as -1 means yeat to visit board = [[-1 for i in ran...
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def write(text, file): """ Writes a generated HTML page to a file, but checks with a HTML parser before. :param text: :param file: """ # output file if isinstance(file, str): file = [file] file = os.path.join(c.web_path, *file) # check file hash and use previous version ...
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def paginate(items, page=0, max_per_page=10): """Simple generic pagination. Given an iterable, this function returns: * the slice of objects on the requested page, * the total number of items, and * the total number of pages. The `items` parameter can be a list, tuple, or iterator: >>>...
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def calculate_sklearn_imputer_output_shapes(operator): """ Allowed input/output patterns are 1. [N, C_1], ..., [N, C_n] ---> [N, C_1 + ... + C_n] It's possible to receive multiple inputs so we need to concatenate them along C-axis. The produced tensor's shape is used as the output shape. ...
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def change_hsv(image, sat, bright): """ Args: image : numpy array of image sat: saturation bright : brightness Return : image : numpy array of image with saturation and brightness added """ hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV) h, s, v = cv2.split(hsv) ...
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def select_foreground_proposals( proposals: List[Instances], bg_label: int ) -> Tuple[List[Instances], List[torch.Tensor]]: """ Given a list of N Instances (for N images), each containing a `gt_classes` field, return a list of Instances that contain only instances with `gt_classes != -1 && gt_classe...
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def hutchinson_trace_autodiff_blockwise(V): """Hessian trace estimate using autodiff block HVPs.""" trace = 0 for _ in range(V): for p in model.parameters(): v = [rademacher(p.shape)] Hv = hessian_vector_product(loss, [p], v) vHv = torch.einsum("i,i->", v[0].flat...
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def check_received_rewards(cadet, reward_tier): """[checks if given reward has recieved the reward for the given reward tier] Arguments: cadet {[Cadet]} -- [cadet object] reward_tier {[int]} -- [reward tier] Return: boolean """ if User_Reward_Log.objects.filter(cadet=c...
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def batch_obs( obs: List[Observation], obs_space: ObsSpace, action_space: Dict[str, ActionSpace] ) -> ObsBatch: """ Converts a list of observations into a batch of observations. """ entities = {} ids = [] action_masks: Dict[str, ActionMaskBatch] = {} reward = [] done = [] end_of_...
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def close_db(error): """Closes the database again at the end of the request.""" if hasattr(g, 'db'): g.db.disconnect() if error: logger.error('Database connection closed because of :' + str(error))
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def brusselator(t, X, **kwargs): """ The Brusselator. @type t: number @param t: current time @type X: vector @param X: current state @rtype: vector @return: derivative """ x = X[0] y = X[1] if len(kwargs) == 0: x_dot = 1 - (BRUSS_B + 1) * x + BRUSS_A * x**2 *...
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def _main(args=None): """Main entry point for the CLI application. Args: args (list): List of arguments to be parsed and used, first one being the command. """ if not args: args = argv[1:] if cd_is_project() and get_config_value('version') != get_distribution("pavo").version: ...
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def nearest_neghbors(descriptor_dict, descs): """ Computes the nearest neighbors of a list of descriptors in a descriptor dictionary :param descriptor_dict: a descriptor dictionary like in create_kmeans_dict :param descs: a list of descriptors of an image :return: the indices of the nearest neighbor...
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def generate_config_from_os(): """ Determines runlevel and project_env from environment variables, then returns generate_eve_config(project_env, runlevel). """ project_env = ProjectEnv.detect_from_os(fallback_to_default=True) LOGGER.info("Detected PROJECT_ENV: " + str(project_env)) runlevel...
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def match_bounding_boxes(t_boxes, d_boxes, iou_threshold): """Matches detection boxes with tracked boxes based on IoU. This function can be used to find matches between sets of bounding boxes found with an object detector and tracked with a tracker. It yields three arrays with indices indicating which ...
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def OpenStreetMapNominatim(lon, lat): """ Get the target's street infomation from ip lon and lat locations by using OpenStreetMap. 請求次數少量可用,大量請求使用MapQuest提供的API.->使用geocoder庫即可。 :param lon: The IP lon infos, which refer WGS84. :param lat: The IP lat infos, which refer WGS84. :return: The OpenS...
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def copy_artifacts(config: Configuration) -> None: """ Copies compiled JavaScript files to output directory after `transcrypt` has been run. """ dist_directory = os.path.join(config.base_dir, 'dist') try: os.makedirs(dist_directory) except OSError as e: if e.errno == errno.EEXIS...
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def check_format(format, subtype=None, endian=None): """Check if the combination of format/subtype/endian is valid. Examples -------- >>> import soundfile as sf >>> sf.check_format('WAV', 'PCM_24') True >>> sf.check_format('FLAC', 'VORBIS') False """ try: return bool(_f...
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def kingdom_death(return_type=None): """ Returns a dictionary of all assets. """ output = OrderedDict() all_assets = list_game_assets() for asset_collection in all_assets: asset_object = get_game_asset(asset_collection, return_type=object) if getattr(asset_object, 'is_game_asset', Fals...
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def wait_for_task(task, timeout=60.0, pause_timeout=True): """ Waits for a single vim.Task to finish and returns its result. :param task: The task to wait for :type task: vim.Task :param float timeout: Number of seconds to wait before terminating task :param bool pause_timeout: Pause timeout co...
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def iobes2iob(iobes): """Converts a list of IOBES tags to IOB scheme.""" dico = {pfx: pfx for pfx in "IOB"} dico.update({"S": "B", "E": "I"}) return [dico[t[0]] + t[1:] if not t == "O" else "O" for t in iobes]
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def spread_scores_over_map(score_map): # type: (np.ndarray) -> np.ndarray """Given a 2D score array, spread these scores to their neighbours. The maximum neighbour wins. Deduct by 1.""" neighbour_scores = np.zeros(score_map.shape + (4,)) neighbour_scores[1:, :, 0] = score_map[:-1, :] neighbour_scores[:-1, :, 1] ...
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def create_obb(bbox, R, color=(0, 1, 0)): """Draw an oriented bounding box.""" assert len(bbox) == 6, f'The format of bbox should be xyzwlh, but received {len(bbox)}.' obb = o3d.geometry.OrientedBoundingBox(bbox[0:3], R, bbox[3:6]) obb.color = color return obb
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def resnet50(pretrained=False, fixed_feature=True): """ "ResNet-50 model from torchvision's resnet model. :param pretrained: if true, return a model pretrained on ImageNet :param fixed_feature: if true and pretrained is true, model features are fixed while training. """ from torchvision.models.resn...
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def constant_prices_data(report_name: str, investor_name: str, months: int) -> pd.DataFrame: """Переводит данные в постоянные цены.""" df = get_investor_data(report_name, investor_name) df = df.iloc[-months - 1 :] cpi = indexes.cpi(df.index[-1]) cpi = cpi[-len(df) :] cpi = cpi.cumprod() cpi ...
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def delta_update_basesamdb(refsampath, sampath, creds, session, lp, message): """Update the provision container db: sam.ldb This function is aimed for alpha9 and newer; :param refsampath: Path to the samdb in the reference provision :param sampath: Path to the samdb in the upgraded provision :param...
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def pipe_cmds(command1, command2): """ Pipe to commands together. Useful for things like `ps x | grep python` Args: command1 (str): The initial command to run command2 (str): The command to receive stdout of command1 Returns: list: Output of piped command """ p1 = subpro...
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def full_url(path): """ Return the full URL for the given path (eg. with scheme and domain) """ # Only in production if settings.DEBUG: return path else: return make_full_url(path)
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def check_znak(m1,p1,m2,p2, treshold = 100): """ Checks wheather we should check for people to know each other :type m1: numeric list :param m1: list with all circles for client 1 :type p1: numeric list :param p1: list with probabilities of circles for client 1 :type m2: numer...
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