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def loading_effects_decorator(func): """ Decorator for creating an loading cursor. >>> @loading_effects_decorator >>> def do_lengthy_process(): >>> # DO something >>> pass Parameters ---------- func: function Returns ------- new_function: object """ d...
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def get_response_json(url: str): """ Function get response json dictionary from url. :param url: url address to get response json :type url: str :return: dictionary data :rtype: json :usage: function calling .. code:: python get_response_json(url) """ ...
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def JobPostingDetails(request, pk): """ Retrieve, update or delete a job posting. """ try: job_posting = JobPosting.objects.get(pk=pk) except JobPosting.DoesNotExist: return HttpResponse(status=500) if request.method == "GET": serializer = JobPostingSerializer(job_postin...
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def test_data_kept_with_empty_lst(): """Test that a list stays a list when there is no value in it.""" result = inbound_user_filter({"id": "123-456-abs3", "manager": []}, "azure") assert result["manager_id"] == []
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def start_logging(level, logfile): """ Initialize a useful logging environment with logging to stderr, slightly more verbose to a log file, and suitable log levels. """ loggingclass.init_logging(level) if level == loggingclass.DEBUG: # loggingclass.getLogger().setLevel(loggingclass.D...
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def test_crowdcoding_next_leastcoded(job: int, user: User, admin_user: User, password_user: User): """Does crowdcoding favour units with fewer anotations?""" jobset = get_jobset(job.id, admin_user, True) units = get_jobset_units(jobset) set_annotation(units[0], admin_user, {}) u, index = get_next_un...
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def me(): """Manage your personal information."""
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def cli(): """Manage your CRMint instance on GCP."""
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def _validate_recurse_directive_types(current_schema_type, field_schema_type, context): """Perform type checks on the enclosing type and the recursed type for a recurse directive. Args: current_schema_type: GraphQLType, the schema type at the current location field_schema_type: GraphQLType, the...
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def test_check_users_for_update(app, system_user): """Test check for users update in sync command.""" with app.app_context(): user = RemoteAccount.query.join(User).one() ldap_user = { 'displayName': [b'System User'], 'department': [b'Another department'], 'uid...
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def populate_study_device_settings(sender, **kwargs): """ Ensure that every newly created Study object has a DeviceSettings object. This essentially makes the OneToOneField have null=False in both directions. """ my_study = kwargs['instance'] if kwargs['created'] and not hasattr(my_study...
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def create_enclave_signup_data(): """ Create enclave signup data """ try: enclave_signup_data = \ enclave_helper.EnclaveHelper.create_enclave_signup_data() except Exception as e: logger.error("failed to create enclave signup data; %s", str(e)) sys.exit(-1) re...
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def strip_typehints(source): """Strip the type hints from a function""" if black: source = black.format_str(source, line_length=82) # parse the source code into an AST parsed_source = ast.parse(source) # remove all type annotations, function return type definitions # and import stateme...
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def upconv(x, channels, kernel=3, stride=2, pad=1, use_bias=True, sn=False, scope='upconv_0'): """ upsampling + conv """ with tf.variable_scope(scope): x = up_sample(x, scale_factor=stride) x = conv(x, channels=channels, kernel=kernel, stride=1, pad=1, use_bias=use_bias, sn=sn, scope=sco...
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def create_temporary_copy(directory_path: str, target_directory_prefix: str = "") -> str: """Creates a copy of a directory in a temporary directory and returns its path""" copy_path = get_temporary_directory_path(target_directory_prefix) copy(directory_path, copy_path) return copy_path
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def dumps_content(content): """ pickle 序列化响应对象 :param content: 响应对象 :return: 序列化内容 """ return pickle.dumps(content)
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def get_info(request, tut): """Get information about the tutorial from the 'info.ini' file. :request: Pyramid request :tutorial: Tutorial name """ cfg = SafeConfigParser() cfg.optionxform = str # case-sensitive keys cfg.read(os.path.join(get_tutorialdir(request, tut), 'info.ini')) inf...
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def upgrade_requirements(): """ Install the contents of requirements.txt to the virtual environment """ check = exists('%(path)s/requirements.txt' % env) if check: virtualenv('pip install --upgrade -r %(path)s/requirements.txt' % env) else: print red("Can't find requirements.tx...
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def test___init__(image_config: ImageConfig, image_config_signed: ImageConfig): """Test that signed and unsigned configurations can be instantiated.""" assert image_config assert image_config_signed
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def run(xml_dir, output_fpath): """ Gets the path to the framenet root directory and output the csv file with role lus. """ frame2role2lu = extact_frame2role2lu(xml_dir, output_fpath) save_frame2role2lu(frame2role2lu, output_fpath)
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def hide_solution(key, tpl_dict = latex_doc.tpl_dict): """Hide solutions by default""" return """ {%- if cell.metadata.solution_first or cell.metadata.solution2_first or cell.solution_first or cell.solution2_first -%} {# exercise #} {%- elif cell.metadata.solution == 'hidden' or cell.metadata...
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def midpoint(f, a, b, N): """Zusammengesetzte Mittelpunktsregel in 1d. Input: f : Funktion f(x) welche integiert werden soll. a, b : untere/obere Grenze des Integrals. N : Anzahl Teilintervalle in der zusammengesetzten Regel. """ x, h = np.linspace(a, b, N+1, retstep=True)...
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def create_arg_parser(): """ Create an argument parser return: argparse.ArgumentParser """ parser = argparse.ArgumentParser() # Read in the input file parser = argparse.ArgumentParser( description="Create metrics plots in a batch mode") parser.add_argument(dest='main_inputfile', ...
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def content_disposition_filename(filename): """ Sanitize a file name to be used in the Content-Disposition HTTP header. Even if the standard is quite permissive in terms of characters, there are a lot of edge cases that are not supported by different browsers. See http://greenbytes.de/tech...
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def orgs_v3_p1(): """ Returns raw orgs from API v3 """ with open(os.path.join(HERE, 'fixtures', 'orgs_v3_p1.json')) as f: return json.loads(f.read())
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def fmt_datetime(object_: datetime) -> str: """Parse datetime into pydantic's JSON encoded datetime string""" return object_.astimezone(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
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def test_ergodic_forward(): """Forward algorithm on an ergodic HMM""" hmm = deepcopy(hmm_e) hmm.set_random_initial() hmm.set_random_transitions() hmm.fit(X) assert isinstance(hmm.forward(x), float)
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def _gen_setup_file(project_name: str) -> str: """ Generate setup.py module content. """ content = """\ from setuptools import setup, find_packages setup( name='%s', description='App description.', version='1.0', packages=find_packages(), # package_data={'package': ['subfolder/*']}...
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def generate_manifest_in_from_git(): """Generate MANIFEST.in from 'git ls-files'""" cmd = r'''git ls-files | sed 's/\(.*\)/include \1/g' > MANIFEST.in''' return subprocess.call(cmd, shell=True)
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def get_table_list(transaction_executor): """ Connect to a given ledger using default settings. """ statement = "SELECT name FROM information_schema.user_tables" cursor = transaction_executor.execute_statement(statement) try: table_list = {} i = 0 for row in cursor: ...
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def _apply_conv_mode(ret, s1, s2, mode, axes): """Calculate the convolution result shape based on the `mode` argument. Returns the result sliced to the correct size for the given mode. Parameters ---------- ret : array The result array, with the appropriate shape for the 'full' mode. s...
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def submit_local(filename: str, cmd_line_arguments: str, debug: bool = True): """Create a local job & submit it based on provided file to execute.""" cmd = f"{PYTHON_EXECUTABLE} {filename} {cmd_line_arguments}" proc = submit_subprocess(cmd, debug) return proc
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def format_time(ogtime): """Increase readability of given catalog times.""" return pd.Timestamp(' '.join(ogtime.split('T'))[:-1])
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def test_name(km_user_factory): """ The know me user's name property should return the associated user's short name. """ km_user = km_user_factory() assert km_user.name == km_user.user.get_short_name()
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def train(loss_fn): """使用损失函数loss_fn训练回归""" print("Training;loss function:" + loss_fn.__name__) optimizer = tf.train.GradientDescentOptimizer(learning_rate=0.01) def loss_for_example(x, y): return loss_fn(y, prediction(x)) # `grad_fn(x_i, y_i)` returns (1) the value of `loss_for_example` ...
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def estimator(data): """ Takes input data and returns it in a specified format. """ # get days days = timeEstimateDays(data["periodType"], data["timeToElapse"]) # Challenge 1 # Currently infected estimates currentlyInfectedImpact = int(data["reportedCases"] * 10) curren...
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def run(method): """Run method.""" switcher = { "construct": lambda: construct(), "execute": lambda: execute() } return switcher.get(method)()
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def unicode_parm(cap, *parms): """Return the result of ``tparm(tigetstr())`` except as Unicode.""" return tparm(tigetstr(cap), *parms).decode('utf-8')
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def test_check_instances_dict_formatting(): """[Utils] check_instances: test formatting of dict.""" instances = {'a': [OLS(), ('ols', OLS()), ('ols', OLS()), ['list', OLS()]], 'b': [], 'c': [OLS(), ('ols', OLS())]} formatted = _check_instances(instances) for k, v in f...
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def lmtd(tci, tco, thi, tho, counterflow=True): """log mean temperature difference tci = cold inlet tco = cold outlet thi = hot inlet tho = hot outlet """ if counterflow: itd = thi - tco otd = tho - tci else: itd = thi - tci otd = tho - tco return lmd(itd, otd)
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def haversine_distances(X, Y=None): """Compute the Haversine distance between samples in X and Y The Haversine (or great circle) distance is the angular distance between two points on the surface of a sphere. The first distance of each point is assumed to be the latitude, the second is the longitude, g...
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def rotateRight(self, head: ListNode, k: int) -> ListNode: """ 72ms 36.76% 13MB 95.80% :param self: :param head: :param k: :return: """ if not head or not head.next: return head old_tail = head length = 1 while old_tail.next: old_tail = old_tail.next ...
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def calculate(frame,shares_outstanding): """ calculate daily RV/BV/Diff price/volume values from minute price data frame :param frame: pandas dataframe object from minute price data :param shares_outstanding: company shares outstanding for volume normalization :return: the new frame constructed fro...
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def main(): """ :return: """ global THI_time connect() # 总循环 while True: try: if THI_time == 120: THI_temp = THI_num() data = { "idx": THI_idx[0], "nvalue": 0, "svalue":...
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def mgc(piece_u, piece_v, relation): """ Computes the final mahalanobis gradient compatibility :param piece_u: One of the puzzle pieces :type piece_u: numpy.ndarray :param piece_v: The other one of the puzzle pieces :type piece_v: numpy.ndarray :param relation: The connecting relation be...
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def mock_query_object(LCClient): """ Creating a Query Response object and prefilling it with some information """ # Creating a Query Response Object start = '2016/1/1' end = '2016/1/2' obj = { 'TimeRange': TimeRange(parse_time(start), parse_time(end)), 'Time_start': parse_tim...
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def determine_edge_sigmoid_params(laplacian_image: itk.Image) \ -> tuple[float, float]: """ This function determines the appropriate alpha and beta for a sigmoid function. This sigmoid function should map regions of constant intensity to 1.0, while mapping regions with high intensity gradien...
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def getRandomPopulation(popSize, numItems): """ Creates a population of random chromosomes :param popSize: Population size :param numItems: Chromosome size :return: list """ return [getRandomChromosome(numItems) for x in range(popSize)]
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def test_vector_var_setitem(): """ Tests setting indexes in a Tensor with vector variables """ v1 = fwd.var('x', [1, 2, 3]) v2 = fwd.var('y', [2, 3, 4]) res = 2 * v1 * v2 res[0] += res[1] + res[2] / 2 assert np.array_equal(res.value, [28, 12, 24]) assert np.array_equal(res.d['x'], [...
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def multi_synonym(w2v_model, multi_syns, n, pooling): """Given list of synonyms that represents crossword clue, return aggregate ranking Args: w2v_model : standard Word2Vec 'KeyedVectors' data structure multi_syns : nested list containing lists of each synonym present in a clue n : ...
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def handleCookbookError(r): """Deals with errors when updating cookbook""" if(r.status_code == 404): print "" print "Error Notifying Cookbook of new Gist. Is this URL correct?" print cookbookURL print "" print "If not, update cookbookURL in uploadGists.py in devtools to c...
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def check_cross_account(policy_text, allowed_accounts): """Find cross account access policy grant not explicitly allowed """ if isinstance(policy_text, basestring): policy = json.loads(policy_text) else: policy = policy_text violations = [] for s in policy['Statement']: ...
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async def test_setup_with_photo_session(hass, entry, mock_websocket, setup_plex_server): """Test setup component with config.""" mock_plex_server = await setup_plex_server(config_entry=entry, session_type="photo") assert len(hass.config_entries.async_entries(const.DOMAIN)) == 1 assert entry.state == EN...
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def stokes_ellipsometry(tanpsi, Delta): """ Stokes vector using ellipsometer parameters. This creates a Stokes vector for the specific set of ellipsometry parameters tanpsi and Delta. See Fujiwara table 3.1 for example. Args: tanpsi: abs(E_x/E_y) [-] Delta: angle(E_x) ...
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def gen_psd(q): """ Random PSD matrix of size (q,q) from Wishart distribution """ G = np.random.randn(q,q) G = G @ G.T * (1/q) return G
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async def stream(response, streamdict, newkey=lambda k:None, io=stdout, suffix=""): """ Stream simulation data into a Buffer (DataFrame) """ more = True while more: more, res = await read(response, io) for k, v in res.items(): k = k+suffix # store different runs under dif...
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def menu_loop(): """ Main menu loop """ choice = None # Loop over options as long as user doesn't quit while choice != 'q': # Clear screen clear_screen() # Loop over menu items and render each print("Enter 'q' to quit.") for key, value in menu.items(): ...
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def strictwwid(wwid): """Validity checks WWID for invalid format using strict rules - must be Brocade format""" if len(wwid) != 23: # WWPN must be 23 characters long print("WWID has invalid length " + wwid) return None # Colon separators must be in the correct place if wwid[2:3] !...
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def GetPlistDateValue(key, secure=False, plist=None, str_format=None): """Returns the UTC datetime of a given plist date key, or None if not found. Args: key: string key to get from the plist. secure: boolean; True = munki secure plist, False = munki regular plist. plist: optional, str plist path to us...
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def get_research_data_by_dev(sn): """Return the research data by device """ dev = Instrument.query.filter_by(sn=sn).first_or_404() # Choose model model = dev._get_data_model() data = _collection(model, model.query.filter_by(instr_sn=dev.sn), name='data', sn=dev.sn, researche...
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def clear_database(database_path): """Deletes all the property files in the given database Parameters ---------- database_path : str Path to the database to be cleared """ for table in glob.glob(os.path.join(database_path,'*')): for file in glob.glob(os.path.join(table,'*'))...
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def main(): """Entrypoint to this program""" check_prerequisites() parser = argparse.ArgumentParser(description='Run pylint and import the results to CodeSonar') # NB: The fields of 'args' must be compatible with pylint2sarif.py. parser.add_argument('inputs', nargs='*', help=...
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def create_layer(number): """ Creates a new layer """ file_list = glob.glob(f'{shp_path}*.shp') random_index = randint(0, len(file_list) - 1) file_uri = file_list[random_index] layer = file_upload(file_uri) # keywords assign_keywords(layer) # other stuff resource = layer.get_self_res...
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def gethub(): """ :return: an initialized instance of the github utility. """ # Thanks, I'll be here all week. return Github(base_url=GITHUB_API_URL, login_or_token=GITHUB_ACCESS_TOKEN)
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def get_verification_link(request): """ Computes the verification link """ verification = create_verification(request) if type(verification) is not models.VerificationModel: return None else: return "%s/%s/verify-link/?u=%s&c=%s" %(request.META["HTTP_HOST"], settings.AC...
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def mrp_shadow(mrpset): """return the shadow set of a given modified rodrigues parameter set :param mrpset: modified rodrigues parameter set :return: shadow set of the given MRP set """ return np.array([-s/(np.linalg.norm(mrpset)**2) for s in mrpset])
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def subplot(size, location): """ Used for plotting multiple figures """ plt.subplot(str(size[0]) + str(size[1]) + str(location))
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def upper_char(c): """Return the uppercase version of the character in the current locale.""" return chr(_toupper(ord(c)))
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def test_log_in_link_click(instagram, element): """ Verify log in page log_in_link_click method works """ instagram.driver.find_element.return_value = element instagram.log_in_page.log_in_link_click(False) assert mock.call.find_element(XPATH, LOG_IN_LINK_XPATH) in instagram.driver.method_calls asse...
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def _create_fig(n_cols, n_rows, figname, wrap_col=5, w_plot=5, h_plot=3): """Create a figure with subplots Parameters ---------- n_cols, n_rows: int, number of rows and column in the plot figname: str, name of the figure window wrap_col: int, if only 1 row is present, wrap the columns w_plo...
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def ipat(pat): """Convert glob pattern to case insensitive form.""" (dirname, pat) = os.path.split(pat) # Convert '/path/to/test.fpt' => '/path/to/[Tt][Ee][Ss][Tt].[]' newpat = '' for c in pat: if c.isalpha: u = c.upper() l = c.lower() if u != l: ...
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def test_duplicate_version_exception(): """ Test if the duplicate version exception is raised when importing. """ with raises(DuplicateVersionException): from .utils import duplicate_versions
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def rank_reports(unranked, label, metric): """ Ordena una lista de listas de reportes con respecto a la label y métrica especificada. Args: unranked (list): Lista de listas de reportes. label (str): Nombre de la label con la cual se quiere optimizar. metric (str): Nombre de la m...
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def neural_in_test(nsamp=1000,nin=400,d=4,rvar=0.1,wvar=None): """ Unit test for the neural input estimator """ if wvar is None: wvar = 1/nin # Generate random data Rvar = rand_cov(d=d,rho=0.5,scale=rvar) X = np.random.normal(0,1,(nsamp,nin)) W0 = np.random.normal(0,np.s...
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def incomplete_mat_mult_bsr(*args): """ incomplete_mat_mult_bsr(int Ap, int Aj, float Ax, int Bp, int Bj, float Bx, int Sp, int Sj, float Sx, int n_brow, int n_bcol, int brow_A, int bcol_A, int bcol_B) incomplete_mat_mult_bsr(int Ap, int Aj, double Ax, int Bp, int Bj, double Bx, int...
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def write_sorted_dca_scores(file_name, sorted_DI, metadata=None, score_type = None): """Writes sorted direct information to file. Parameters ---------- file_name : str Path to file where DCA data is going to be saved. sorted_DI : list A list containing site pair ...
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def get_fit_entries(path, model_type, num_best): """Get entries to insert into the Fit() table, describing the fitted models of a certain model type.""" data = [] for idx in range(num_best): df = pd.read_csv(os.path.join(path, path_args.fname_best_csv)) run_no = int(df.iloc[idx]['run_no']) ...
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def RemoveIssuerCertsFromKeychain(issuer_cn, keychain=login_keychain, gui=False, password=None): """Removes all certificates issued from a given CN from the keychain. DeleteCert tries to raise privileges to allow deletions from the System keychain, so we try and log if it fails....
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def GetMonthList(): """ Get a list of the defined month names. rtype: `list` """ monthlist = [] for i in range(13): name = Month[i] if name is not None: monthlist.append(name) return monthlist
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def get_absolute_url(url, endpoint=None): """ Returns the absolute url based on the url and endpoint Args: url (str): base url with domain (e.g. https://domain.com) endpoint (str): link to convert to an absolute url (e.g. /image.png) """ endpoint = endpoint.replace('%...
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def test_abutting_lists(): """Lists next to each other should not be combined.""" content = """* List 1 * List 1 * List 2 * List 2 """ wikicode = mwparserfromhell.parse(content) assert ( compose(wikicode) == "<ul><li> List 1\n</li><li> List 1\n</li></ul><ul><li> List 2\n</li><li> List 2...
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def test_suffix(input_field, suffix): """Test ``suffix`` property.""" assert input_field.suffix == suffix
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def add_global_tracks(g, ic): """Add the global tracks to every channel.""" add_dummy_tracks(g, ic) GLOBAL_SPINE_ROW = ic.max_x // 2 GLOBAL_BUF = "GLOBAL_BUFFER_OUTPUT" padin_db = ic.padin_pio_db() iolatch_db = ic.iolatch_db() # Create the 8 global networks for i in range(0, 8): ...
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async def do_task() -> Response: """Run a task with celery workers Returns: A response with the results in the payload """ s = time() job = group(tasks.send_task('add.two',args=[i,i]) for i in range(100)) result = job.apply_async() # result.ready() res = result.get() p...
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def test_chunk_write(chunk, lastindex, filename): """Try writing a chunk to a new h5py file""" with h5py.File(filename, 'w') as f: io.write(chunk, f) with h5py.File(filename, 'r') as f: assert chunk.name in f g = f[chunk.name] assert_h5py_allclose(g, chunk)
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def get_validation_augmentation(): """Add paddings to make image shape divisible by 32""" test_transform = [ A.PadIfNeeded(384, 160) ] return A.Compose(test_transform)
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def lnlike_0(ts, ys, yivars, deltanu, nupeak, K, numax, Lambda0, H, Gamma): """Log Likelihood for a comb of K frequencies centered on nupeak and separated by deltanu (solves for the amplitudes)""" assert len(ts) == len(ys) halfK = (K - 1) // 2 thisK = 2 * halfK + 1 M = np.zeros((len(t...
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def find_dpid_port_by_ip(ip): """ finds dpid and port in which IP is located """ p = [(x['dpid'],x['port']) for x in core.discovery.gmat if x['ip'] == ip] if not p: return (None, None) else: return p.pop()
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def model_summarize(model, show_weights=True, show_parameters=True): """Summarizes torch model by showing trainable parameters and weights.""" tmpstr = model.__class__.__name__ + ' (\n' params_num = 0 for key, module in model._modules.items(): # if it contains layers let call it recursively to g...
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def gamedvr_record(console): """ Default to record last 60 seconds Adjust with start/end query parameter (delta time in seconds) """ try: start_delta = request.args.get('start', -60) end_delta = request.args.get('end', 0) console.dvr_record(int(start_delta), int(end_delta...
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def validate_display_name(display_name: str): """Verify display name is at most 128 chars Args: display_name: display name to verify Raises: ValueError: display name is longer than 128 characters """ if len(display_name) > 128: raise ValueError("Display name needs to be less...
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def execute(command, env=None, split_lines=False, ignore_errors=False, extra_ignore_errors=(), translate_newlines=True, with_errors=True): """ Utility function to execute a command and return the output. """ if isinstance(command, list): debug(subprocess.list2cmdline(command)) el...
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def my_kernel_exp(dis, gamma=.1): """gamma is auto tuned. The argument gamma means shrink_ratio. """ # if full_output: # print 'gamma = {0:.4f} dim = {1:.4f} squared = {2}'.format(gamma, dim, squared) dis *= -gamma np.exp(dis, dis) return dis
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def __get_mir_precursor_to_mature_mapper__(): """ :return: a dictionary mapping taxonomy ID and miRBase precursor ID to a list containing the IDs of mature miRNAs made from this precursor, e.g. the tuple ('9606', 'hsa-mir-155') might be mapped to ['hsa-miR-155-5p', 'hsa-miR-155-3p'] ...
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def parse_args(): """ PARAMETERS""" parser = argparse.ArgumentParser("train") parser.add_argument("--use_cpu", action="store_true", default=False, help = "use cpu mode?") parser.add_argument("--gpu", type = str, default="0", help = "specify the gpu device") parser.add_argument("--batch_size", type=i...
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def set_entity_permissions(syn, entity, principalid, permission_level="download"): """ Convenience function to set ACL on an entity for a user or team based on permission levels (view, download...) Args: syn: Synapse object entity: An Entity or Synapse ID to lookup principalid: ...
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def pipeline_run_add_tag(run_id, tags, organization=None, project=None, detect=None): """ Add tag(s) for a pipeline run. :param run_id: ID of the pipeline run. :type run_id: int :param tags: Tag(s) to be added to the pipeline run. [Comma seperated values] :type tags: str :rtype: list of str ...
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def anisodiff(img, niter=1, kappa=50, gamma=0.1, step=(1., 1.), option=1): """ Anisotropic diffusion on single channel image Usage: imgout = anisodiff(im, niter, kappa, gamma, option) Arguments: img - input image niter - number of iterations ka...
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def selenium_capature(): """ selenium web页面截屏 :return: """ from selenium import webdriver import time def capture(url, filename="capture.png"): browser = webdriver.Chrome(r"C:\Program Files (x86)\Google Chrome\chromedriver.exe") browser.set_window_size(1200, 900) brow...
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def add_keys2(a, b, B): """ aG + bB, G is basepoint :param a: :param b: :param B: :return: """ return tcry.xmr_add_keys2_vartime_r(a, b, B)
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