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def main(): """ lcd = SmartOpen_LCD() lcd.set_blacklight(150) color = lcd.color_table['white'] lcd.fill_screen(color) print("done") """ lcd = SmartOpen_LCD() lcd.set_blacklight(150) color = random.choice(list(lcd.color_table.keys())) lcd.fill_screen(color) width = 240...
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def profileown(): """Display user's profile""" return render_template("profile.html", user=session, person=session, books=None)
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def GetChildConfigListMetadata(child_configs, config_status_map): """Creates a list for the child configs metadata. This creates a list of child config dictionaries from the given child configs, optionally adding the final status if the success map is specified. Args: child_configs: The list of child co...
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def get_samples(df, selected_rows, no_of_samples, records_in_db): """ get samples without shuffling columns """ df_fixed = None df_random = None generic_data_dict = [] #drop rows with 'ignore' set to 'yes' if 'ignore' in df.columns: df = df[df["ignore"] != "yes"] df = df.drop(['i...
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def update_member_names(oldasndict, pydr_input): """ Update names in a member dictionary. Given an association dictionary with rootnames and a list of full file names, it will update the names in the member dictionary to contain '_*' extension. For example a rootname of 'u9600201m' will be repl...
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def assert_type(assertions: list): """ use this function to do type checking on runtime - pass an array of assertions [(var_1, type_1), (var_2, type_2), ...] e.g.: [(arg1, int), (arg2, str), ....] - nesting e.g.: list[int] is not possible. Instead do (list_arg[0], int) """ for i in r...
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def part1(entries: str) -> int: """part1 solver take a str and return an int""" houses = {(0, 0): 1} pos_x, pos_y = 0, 0 for direction in entries: delta_x, delta_y = moves[direction] pos_x += delta_x pos_y += delta_y houses[(pos_x, pos_y)] = houses.get((pos_x, pos_y), 0) ...
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def delete_news_publisher(app_user, service_user, solution): """Delete a news publisher and revoke create news role.""" from solutions.common.bizz.messaging import POKE_TAG_BROADCAST_CREATE_NEWS key = SolutionNewsPublisher.createKey(app_user, service_user, solution) publisher = db.get(key) if publis...
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def init_questionnaire_db_command(): """Create CLI for creating a new database with `flask init-db`. **Careful: This will overwite the current one and all data will be lost.** """ init_questionnaire_db() click.echo('Initialized the questionnaire database')
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def beqs( screen, asof=None, typ='PRIVATE', group='General', **kwargs ) -> pd.DataFrame: """ Bloomberg equity screening Args: screen: screen name asof: as of date typ: GLOBAL/B (Bloomberg) or PRIVATE/C (Custom, default) group: group name if screen is organized into g...
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def quantile_compute(x, n_bins): """Quantile computation. Parameters ---------- x: pd.DataFrame the data variable we want to obtain its distribution. n_bins: int the number of bins we want to use to plot the distribution. Returns ------- quantiles: np.ndarray th...
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def remove_conflicting_jars(source_path): """ Removes jars uploaded which may conflict with AppScale jars. Args: source_path: A string specifying the location of the source code. """ lib_dir = os.path.join(find_web_inf(source_path), 'lib') if not os.path.isdir(lib_dir): logger.warn('Java source does ...
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def print_newline(): """ Add new line """ print ""
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def remove_separators(version): """Remove separator characters ('.', '_', and '-') from a version. A version like 1.2.3 may be displayed as 1_2_3 in the URL. Make sure 1.2.3, 1-2-3, 1_2_3, and 123 are considered equal. Unfortunately, this also means that 1.23 and 12.3 are equal. Args: vers...
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def parse_coverage_status(status): """Parse a coverage status""" return Status.HIT if status.upper() == 'SATISFIED' else Status.MISSED
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def max_index(list): """Returns the index of the max value of list.""" split_list = zip(list, range(len(list))) (retval, retI) = reduce(lambda (currV, currI), (nV, nI): (currV, currI) if currV > nV else (nV, nI), split_list) return retI
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def mask_coverage(coverage: mx.sym.Symbol, source_length: mx.sym.Symbol) -> mx.sym.Symbol: """ Masks all coverage scores that are outside the actual sequence. :param coverage: Input coverage vector. Shape: (batch_size, seq_len, coverage_num_hidden). :param source_length: Source length. Shape: (batch_si...
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def DFS_complete(g): """Perform DFS for entire graph and return forest as a dictionary. Result maps each vertex v to the edge that was used to discover it. (Vertices that are roots of a DFS tree are mapped to None.) """ forest = {} for u in g.vertices(): if u not in forest: forest[u] = None ...
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def _transform_p_dict(p_value_dict): """ Utility function that transforms a dictionary of dicts into a dataframe representing the dicts as rows (like tuples). Is needed to keep track of the feature names and corresponding values. The underlying datastructures are confusing. :param p_value_dict: dic...
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def iou( predict: torch.Tensor, target: torch.Tensor, mask: Optional[torch.Tensor] = None, ) -> torch.Tensor: """ This is a great loss because it emphasizes on the active regions of the predict and targets """ dims = tuple(range(predict.dim())[1:]) if mask is not None: predic...
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def get_sequence(seq_id): """ TO DO: 1. redirection 303. (not tested in compliance_suite) 2. Note: compliance_suite ignores the range if it is out of bounds or if > SUBSEQUENCE_LIMIT 3. Ambiguous error code resolution in refget documentation: range: The server MUST respond with ...
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def getCondVisibility(condition): """ Returns ``True`` (``1``) or ``False`` (``0``) as a ``bool``. :param condition: string - condition to check. List of Conditions: http://wiki.xbmc.org/?title=List_of_Boolean_Conditions .. note:: You can combine two (or more) of the above settings by using "+" a...
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def write_jpeg(input: torch.Tensor, filename: str, quality: int = 75): """ Takes an input tensor in CHW layout and saves it in a JPEG file. Arguments: input (Tensor[channels, image_height, image_width]): int8 image tensor of `c` channels, where `c` must be 1 or 3. filename (str): Path to...
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def get_xy_strs(kpts): """ strings debugging and output """ _xs, _ys = get_xys(kpts) xy_strs = [('xy=(%.1f, %.1f)' % (x, y,)) for x, y, in zip(_xs, _ys)] return xy_strs
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def mockTrainTextExport(poicol, resdir, city_idx=None): """ export the training trails and testing instance for inspection """ conf = Configuration() conf['expr.target'] = poicol conf['expr.model'] = 'mockTrainTextExport' if city_idx is None: cityloop(conf, resdir, 'tt') else: ...
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def history_cumulative(request): """ This endpoints returns the number of cumulative infections for each area given a date in history. """ days = int(request.query_params.get("days")) observed = Covid19DataPoint.objects.all() historyDate = max([d.date for d in observed]) - timedelta(days=-days) ...
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def check_partial(func, *args, **kwargs): """Create a partial to be used by goodtables.""" new_func = partial(func, *args, **kwargs) new_func.check = func.check return new_func
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def test_perform_search_with_configuration( monkeypatch, patch_search_command, namespace_args, grim_config, trainer_config, search_overrides ): """Tests that SearchCommand objects correctly perform searches with the specified trainer configurations. Ensures: - The correct configuration file is writ...
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def compress_file(filename: str, dest_file: str = "") -> None: """ Open the <filename> and compress its contents on a new one. :param filename: The path to the source file to compress. :param dest_file: The name of the target file. If not provided (None), a default will be used w...
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def mcas(mc, entries): """Multi-entry compare-and-set. Synopsis: >>> from memcache_collections import mcas >>> mc = memcache.Client(['127.0.0.1:11211'], cache_cas=True) >>> # initialize a doubly-linked list with two elements >>> mc.set_multi({ ... 'foo': {'next': 'bar'}, ... 'bar': ...
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def figure_8s(N_cycles=2, duration=30, mag=0.75): """ Scenario: multiple figure-8s. Parameters ---------- N_cycles : int How many cycles of left+right braking. duration : int [sec] Seconds per half-cycle. mag : float Magnitude of braking applied. """ on = [(2...
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def validate(integrations: Dict[str, Integration], config: Config): """Validate CODEOWNERS.""" codeowners_path = config.root / "CODEOWNERS" config.cache["codeowners"] = content = generate_and_validate(integrations) with open(str(codeowners_path)) as fp: if fp.read().strip() != content: ...
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def test_components(ctx): """Create textures of different components""" c1 = ctx.texture((10, 10), components=1) c2 = ctx.texture((10, 10), components=2) c3 = ctx.texture((10, 10), components=3) c4 = ctx.texture((10, 10), components=4) assert c1.components == 1 assert c2.components == 2 ...
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def run(): """Run ipfs daemon. cmd: ipfs daemon # --mount __ https://stackoverflow.com/a/8375012/2402577 """ IPFS_BIN = "/usr/local/bin/ipfs" log("==> Running [green]IPFS[/green] daemon") if not os.path.isfile(config.env.IPFS_LOG): open(config.env.IPFS_LOG, "a").close() with d...
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def grad_ast(func, wrt, motion, mode, preserve_result, verbose): """Perform AD on a single function and return the AST. Args: See `grad`. Returns: node: The AST of a module containing the adjoint and primal function definitions. required: A list of non-built in functions that this function c...
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def sortRules(ruleList): """Return sorted list of rules. Rules should be in a tab-delimited format: 'rule\t\t[four letter negation tag]' Sorts list of rules descending based on length of the rule, splits each rule into components, converts pattern to regular expression, and appends it to the e...
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def get_all_ngram_counts(sequences, n): """ UC Computes the prevalence of ngrams in a collection of sequences. """ pass
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def v3_settings_response(): """Define a fixture that returns a V3 subscriptions response.""" return load_fixture("v3_settings_response.json")
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def supercelltar(tar, superdict, filemode=0o664, directmode=0o775, timestamp=None, INCARrelax=INCARrelax, INCARNEB=INCARNEB, KPOINTS=KPOINTSgammaonly, basedir="", statename='relax.', transitionname='neb.', IDformat='{:02d}', JSONdict='tags.json', YAMLdef='supercell.yam...
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def Geom2dLProp_Curve2dTool_FirstParameter(*args): """ * returns the first parameter bound of the curve. :param C: :type C: Handle_Geom2d_Curve & :rtype: float """ return _Geom2dLProp.Geom2dLProp_Curve2dTool_FirstParameter(*args)
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def test_get_cd0_oswald(): """TODO: create the test when the function is finalized!""" pass
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def decode_regression_batch_image(x_batch, y_batch, x_post_fn = None, y_post_fn = None, **kwargs): """ x_batch: L or gray (batch_size, height, width, 1) y_batch: ab channel (batch_size, height, width, 2) x_post_fn: decode function of x_batch y_post_fn: decode function of y_batch """ a...
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def get_mag_from_obs(h, e, d0=0): """gets the magnetic north components given the observatory components. Parameters __________ h: array_like the h component from the observatory e: array_like the e component from the observatory d0: float the declination baseline angle ...
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def get_local_host(choice='IP'): """ choice: 'IP' or 'NAME' """ if choice == 'IP': cmd = 'hostname -i' else: cmd = 'hostname' out = subprocess.check_output(cmd.split()) if choice == 'hostname': return out.strip('\n') else: ip_tmp = out.strip(...
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def set_cell(client, instance, colid, value, file_=None): """Set the value of one cell of a family table. Args: client (obj): creopyson Client. instance (str): Family Table instance name. colid (str): Column ID. value (depends on data type): ...
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def find_bounds(particles): """ Find the maximum and minimum bounds describing a set of particles. """ min_bound = np.array( [np.min(particles[:, 0]), np.min(particles[:, 1]), np.min(particles[:, 2])] ) max_bound = np.array( [np.max(particles[:, 0]), np.max(particles[:, 1]), np....
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def load_job_queue(job_queue, list_of_workers, list_of_jobs): """Puts each player file (string) into the job_queue, then puts in 1 poison pill for each process""" [job_queue.put(job) for job in list_of_jobs] # noinspection PyUnusedLocal [job_queue.put(None) for _dummy in list_of_workers]
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def get_tags_date(link, default_date=None): """Extract tags and date from the link.""" tags = ["links"] date = "" fltr = [ "Bookmarks Menu", "Bookmark Bar", "Personal Toolbar Folder", "Importierte Lesezeichen", "Bookmarks Toolbar", "Kein Label vorhanden", ...
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def _is_future(time, time_ref=None): """ check if `time` is in future (w.r.t. `time_ref`, by default it is now) Parameters ---------- time : int or datetime the time to check (if int it's considered a timestamp, see :py:meth:`datetime.timestamp`) time_ref : int or datetime ...
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def test_init_descriptor_always_initted(): """We should be able to get a height and width even on no-tty Terminals.""" t = Terminal(stream=StringIO()) eq_(type(t.height), int)
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def afs(debugger, command, context, result, _): """ Get the address for a symbol regardless of the ASLR offset (lldb) afs viewDidLoad -[UIViewController viewDidLoad]: 0x1146c79a4 ... (lldb) afs -[MyViewController viewDidLoad]: 0x1146c79a4 """ # TODO: Allow user to pass module for s...
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def create_and_train_model(x_learn, y_learn, model, n_cores): """General method to create and train model""" print(model.fit(x_learn, y_learn)) start_time = datetime.now() c_val = cross_val_score(model, x_learn, y_learn, cv=10, n_jobs=n_cores) end_time = datetime.now() print(type(model).__name__...
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def cardidolizedimageurl(context, card, idolized, english_version=False): """ Returns an image URL for a card in the context of School Idol Contest """ prefix = 'english_' if english_version else '' if card.is_special or card.is_promo: idolized = True if idolized: if getattr(card...
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def extract_simple_tip(e): """ """ emin = e.min() emax = e.max() indices = [nearest_index(emin), nearest_index(emax)] indices.sort() imin,imax = indices imax +=1 # for python style indexing return imin, imax
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def adjust_learning_rate_local(optimizer, epoch, lr0): """Sets the learning rate to the initial LR decayed by 10 every 30 epochs""" # if lr0<=1e-4: # if epoch < 90: # lr = lr0 * (0.99**(epoch//30)) # elif epoch < 180: # lr = lr0 * (0.9**(epoch//30)) ...
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def convert(ctx, amount: float=1, from_currency=None, to_currency=None): """ Convert. Convert between currencies. Defaults to geolocated currencies. """ _update_currencies(ctx.config.app_id, ctx.storage) if amount is None: amount = 1 if from_currency is None and to_currency is Non...
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def batch_generator(adjs, nbrs, nnlbls, atts, labels, N_map, E_map, Y_map, V_num=28, bsize=32, dim_f=0, dim_a=0, dim_e=0, nY=2, k=3, pk=10): """graph is processed(add padding) as needed""" epch = 0 N = len(labels) while True: order = np.random.permutation(N) for i in range(0, N-bsize, bs...
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def moveresize(win, x=None, y=None, w=None, h=None, window_manager=None): """ This function attempts to properly move/resize a window, accounting for its decorations. It doesn't rely upon _NET_FRAME_EXTENTS, but instead, uses the actual parent window to adjust the width and height. (I've found _NET...
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def parse_pipeline_config(pipeline_config_file): """Returns pipeline config and meta architecture name.""" with tf.gfile.GFile(pipeline_config_file, 'r') as config_file: config_str = config_file.read() pipeline_config = pipeline_pb2.TrainEvalPipelineConfig() text_format.Merge(config_str, pipeline_config) ...
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def get_pwl(time_series, pwl_epsilon): """ This is a wrapper function for getting a bounded piecewise linear approximation of the data """ if not isinstance(pwl_epsilon, (int, float)): raise TypeError("pwl_epsilon must be a numeric type!") if not (isinstance(time_series, pd.DataFrame) or isinstanc...
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def to_array(string): """Converts a string to an array relative to its spaces. Args: string (str): The string to convert into array Returns: str: New array """ try: new_array = string.split(" ") # Convert the string into array while "" in new_array: # Check if th...
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def convert_atoms_to_pdb_molecules(atoms: t.List[Atom]) -> t.List[str]: """ This function converts the atom list into pdb blocks. Parameters ---------- atoms : t.List[Atom] List of atoms Returns ------- t.List[str] pdb strings of that molecule """ ...
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def unvoiced_features(sig,fs,vcont,sil_cont): """ Unvoiced segment features. Requires voiced and silence/pauses segment detection. """ #Unvoiced features uv_seg,_,_ = unvoiced_seg(sig,fs,vcont,sil_cont) lunvoiced = [] for uv in uv_seg: lunvoiced.append(len(uv)/fs)#Length of ...
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def test_markerfacecolors_allclose(axis): """Are the markerfacecolors almost correct?""" err = 1e-12 markerfacecolor = np.array([0.1, 1, 1]) axis.plot([1, 2.17, 3.3, 4], [2.5, 3.25, 4.4, 5], markerfacecolor=list(markerfacecolor + err)) pc = LinePlotChecker(axis) with pytest.raises(AssertionErro...
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def civic_methods(method001, method002, method003): """Create test fixture for methods.""" return [method001, method002, method003]
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def _generate_tags(encoding_type, number_labels=4): """ :param encoding_type: 例如BIOES, BMES, BIO等 :param number_labels: 多少个label,大于1 :return: """ vocab = {} for i in range(number_labels): label = str(i) for tag in encoding_type: if tag == 'O': if ...
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def test_delete_topic(host): """ Check if can delete topic """ # Given topic_name = get_topic_name() ensure_topic( host, topic_defaut_configuration, topic_name ) time.sleep(0.3) # When test_topic_configuration = topic_defaut_configuration.copy() test_t...
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def interrupts(): """ En - Re-enables interrupts [after they've been disabled by noInterrupts()] Fr - Revalide les interruptions [après qu'elles aient été désactivées par noInterrupts()] """ fichier=open(SWIRQ_PATH,'r') irqnum=0x0 ret=ioctl(fichier,SWIRQ_ENABLE,struct.pack("@B",irqnum)) irqnum=0x1 ret=i...
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def delete_link_tag(api_client, link_id, tag_key, **kwargs): # noqa: E501 """delete_link_tag # noqa: E501 Delete link tag by key This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> response = await api.delete_link_tag(clie...
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def test_sortie(mission): """ :type mission: MissionReport """ data = { 'aircraft_id': 10011, 'bot_id': 10012, 'pos': {'x': 7500.0, 'y': 0.0, 'z': 7500.0}, 'account_id': '76638c27-16d7-4ee2-95be-d326a9c499b7', 'profile_id': '8d8a0ac5-095d-41ea-93b5-09599a5fde4c', ...
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def test_user_details(user, mocker): """ Test for: User.biography property User.media_count property User.follower_count property User.following_count property User.user_detail method User.full_info method """ user_details = { "biography": random_string(), "media_...
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def infect_graph(g, title): """ Function to infect the graph using SI model. Parameters: g: Graph Returns: G : Infected graph t : Time of diffusion of each node """ G=g # Model selection - diffusion time model = ep.SIModel(G) nos = 1/len(G) # Model Configuration config = mc.Configurat...
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def main_func_SHORT(): """ Func. called by the main T """ sleep(SHORT) return True
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def RedirectStdoutStderr(filename): """Context manager that replaces stdout and stderr streams.""" if filename is None: yield return with open(filename, 'a') as stream: old_stdout = sys.stdout old_stderr = sys.stderr sys.stdout = stream sys.stderr = stream util.CheckStdoutForColorSupp...
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def split_train_test(X: pd.DataFrame, y: pd.Series, train_proportion: float = .75) \ -> Tuple[pd.DataFrame, pd.Series, pd.DataFrame, pd.Series]: """ Randomly split given sample to a training- and testing sample Parameters ---------- X : DataFrame of shape (n_samples, n_features) Dat...
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def split_a_book(file_name, outfilename=None): """Split a file into separate sheets :param str file_name: an accessible file name :param str outfilename: save the sheets with file suffix """ book = get_book(file_name=file_name) if outfilename: saveas = outfilename else: save...
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def s2sdd(s): """ Converts a 4-port single-ended S-parameter matrix to a 2-port differential mode representation. Reference: https://www.aesa-cortaillod.com/fileadmin/documents/knowledge/AN_150421_E_Single_ended_S_Parameters.pdf """ sdd = np.zeros((2, 2), dtype=np.complex128) sdd[0, 0] = 0.5*(s...
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def plot_gdf(gdf, map_f=None, maxitems=-1, style_func_args={}, popup_features=[], tiles='cartodbpositron', zoom=6, geom_col='geometry', control_scale=True): """ :param gdf: GeoDataFrame GeoDataFrame to visualize. :param map_f: folium.Map `folium.Map` object where the GeoDataFram...
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def set_catflap_cat_inside(request, catflap_uuid): """GET so it can be used as an email link.""" catflap = CatFlap.objects.get(uuid=catflap_uuid) if not catflap.cat_inside: catflap.cat_inside = True catflap.save() track_manual_intervention(catflap, cat_inside=True) return redire...
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def feature_list(): """Check the library for compile-time features. The list of features are maintained in libinfo.h and libinfo.cc Returns ------- list List of :class:`.Feature` objects """ lib_features_c_array = ctypes.POINTER(Feature)() lib_features_size = ctypes.c_size_t() c...
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def _symm_herm(C): """To get rid of NaNs produced by _scalar2array, symmetrize operators where C_ijkl = C_jilk*""" nans = np.isnan(C) C[nans] = np.einsum('jilk', C)[nans].conj() return C
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def cat(self, dim=0): """Map of 'cat' pytorch method.""" x = self dim = _dim_explicit(x[0].shape, dim) return P.concat(x, dim)
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def survey(nara_file=None): """ Generate a summary of the data structure. :param nara_file: :return: """ if not nara_file: nara_file = os.path.abspath( os.path.join(os.path.dirname(__file__), "nara-export-latest.json") ) with open(nara_file, "r") as f: na...
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def test_ticker_gains_negative_balance(transactions, exchange_rates_mock): """If the first transaction added is a sell, it is illegal since this causes a negative balance, which is impossible""" sell_transaction = transactions[2] tg = TickerGains(sell_transaction.ticker) er = ExchangeRate('USD'...
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def test_usage(): """usage""" rv, out = getstatusoutput(prg) assert rv > 0 assert out.lower().startswith('usage')
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def _name_xform(o): """transform names to lowercase, without symbols (except underscore) Any chars other than alphanumeric are converted to an underscore """ return re.sub("\W", "_", o.lower())
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def runner(app): """创建一个运行器,用于调用应用注册的 Click 命令""" return app.test_cli_runner()
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def remove_all_objects(scene): """ Given a planning scene, remove all known objects. """ for name in scene.get_known_object_names(): scene.remove_world_object(name)
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def create_activation_cache(model): """Creates an activation cache for the tensors of a model.""" input_quantizer = quantized_relu(8, 0) output_cache = {} # If using a Sequential model, the input layer is hidden. Therefore, add the # input quantization to the cache if the first layer is not an input layer ...
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def feature_scatterplot(fset_path, features_to_plot): """Create scatter plot of feature set. Parameters ---------- fset_path : str Path to feature set to be plotted. features_to_plot : list of str List of feature names to be plotted. Returns ------- (str, str) R...
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def model1(v, va, vb, ka, Wa, Wb, pa): """ A translation of the equation from Sandström's Dynamic NMR Spectroscopy, p. 14, for the uncoupled 2-site exchange simulation. v: frequency whose amplitude is to be calculated va, vb: frequencies of a and b singlets (slow exchange limit) (va > vb) ka: ra...
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def calculate_laminar_flame_speed( initial_temperature, initial_pressure, species_dict, mechanism, phase_specification="", unit_registry=_U ): """ This function uses cantera to calculate the laminar flame speed of a given gas mixture. Parameters -----...
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def random_seed(seed): """Execute code inside this with-block using the specified random seed. Sets the seed for random, numpy.random and torch (CPU). WARNING: torch GPU seeds are NOT set! Does not affect the state of random number generators outside this block. Not thread-safe. Args: ...
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def extrapolate_coverage(lines_w_status): """ Given the following input: >>> lines_w_status = [ (1, True), (4, True), (7, False), (9, False), ] Return expanded lines with their extrapolated line status. >>> extrapolate_coverage(lines_w_status) == [ (1, ...
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def get_image_features(filename): """ Param: Path to image Returns: Desired features of image in the form of a dictionary (key = feature_name, value = feature_value) """ array, metadata = nrrd.read(filename) return {k: f(array, metadata, filename) for k, f in image_feature_functi...
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def get_DCT_transform_matrix(N): """ Return the normalised N-by-N discrete cosine transform (DCT) matrix. Applying the returned transform matrix to a vector x: D.dot(x) yields the DCT of x. Applying the returned transform matrix to a matrix A: D.dot(A) applies the DCT to the columns of A. Taking D....
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def get_reduce_nodes(name, nodes): """ Get nodes that combine the reduction variable with a sentinel variable. Recognizes the first node that combines the reduction variable with another variable. """ reduce_nodes = None for i, stmt in enumerate(nodes): lhs = stmt.target.name ...
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def extract_mesh_descriptor_id(descriptor_id_str: str) -> int: """ Converts descriptor ID strings (e.g. 'D000016') into a number ID (e.g. 16). """ if len(descriptor_id_str) == 0: raise Exception("Empty descriptor ID") if descriptor_id_str[0] != "D": raise Exception("Expected descriptor ID to...
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def process_sources(sources_list): """ This function processes the sources result :param sources_list: A list of dictionaries :return: A list of source objects """ sources_results = [] for sources_item in sources_list: id = sources_item.get('id') name = sources_item.get('name...
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def encrypt(message_text, key): """Method Defined for ENCRYPTION of a Simple \ String message into a Cipher Text Using \ 2x2 Hill Cipher Technique \nPARAMETERS\n message_text: string to be encrypted key: string key for encryption with length <= 4 \nRETURNS\n cipher_text: encrypted Mess...
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