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def corpus_loader(folder: str) -> List[str]: """ A corpus loader function which takes in a path to a folder and returns a list of strings. """
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def socket_port(ip, port): """ 输入IP和端口号,扫描判断端口是否占用 """ try: if port: print u'端口扫描结束' s=socket.socket(socket.AF_INET,socket.SOCK_STREAM) result=s.connect_ex((ip, port)) if result == 0: lock.acquire() print ip,u':', port,u'端口已被占用' ...
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def parse_debug_node_name(node_name): """Parse the name of a debug node. Args: node_name: Name of the debug node. Returns: 1. Name of the watched node, as a str. 2. Output slot index of the watched tensor, as an int. 3. Index of the debug node, as an int. 4. Name of the debug op, as a str, e.g...
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def run_basic(): """Check that the windows all open ok (i.e. is GUI functioning?).""" _initialize() s = 'Simulation' p = 'Plots' menu_paths = [ (s,'Test Pattern'), (s,'Model Editor'), (p,'Activity'), (p,'Connection Fields'), ...
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def node_to_evenly_discretized(node): """ Parses the evenly discretized mfd node to an instance of the :class: openquake.hazardlib.mfd.evenly_discretized.EvenlyDiscretizedMFD, or to None if not all parameters are available """ if not all([node.attrib["minMag"], node.attrib["binWidth"], ...
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def delete_comment(request, collection_id, comment_id): """Delete comment if the staff or comment owner want to delete.""" collection = get_object_or_404(Collection, id=collection_id) comment = get_object_or_404(Comment, id=comment_id, collection=collection) if not request.user.is_authenticated: ...
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def final_messages(systems_created_counter, systems_updated_counter, systems_skipped_counter, systems_multiple_counter, systems_multiple_list, request): """ final messages if function was called from 'system_instant' and 'system_upload' """ # call final messages if systems_created_counter > 0: if s...
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def insert_row(key, translation, idx_language): """Create a database AgentXlate.agent row. Args: key: AgentXlate key translation: AgentXlate translation idx_language: Language table index Returns: None """ # Insert and get the new agent value with db.db_modify(...
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def layers_weights_as_vector(model, initial=True): """ Creates a list holding the weights of each layer (Conv and Dense) in the CNN as a vector. model: A reference to the instance from the cnn.Model class. initial: When True, the function returns the initial weights of the CNN. When False, the t...
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def calculate_moist_adiabatic_lapse_rate(t, p): """calculate moist adiabatic lapse rate from pressure, temperature p: pressure in hPa t: temperature in Kelvin returns: moist adiabatic lapse rate in Kelvin/m """ es = 611.2*np.exp(17.67*(t-273.15)/(t-29.65)) # Bolton formula, es in Pa qs...
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def main(): """ Primary entrypoint to dynamic inventory script """ parser = create_parser() args = parser.parse_args() getSplunkInventory(inventory) if args.write_to_file: with open(os.path.join("/opt/container_artifact", "ansible_inventory.json"), "w") as outfile: json....
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def test_setext_headings_extra_59(): """ Test case extra 59: SetExt heading with inline image with newline between image chars, invalidating it. """ # Arrange source_markdown = """a! [Foo](/uri "testing")a ---""" expected_tokens = [ "[setext(3,1):-:3::(1,1)]", "[text(1,1):a!\n:...
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def read_cat_file(genomeCatFile): """ Read in genome categories and create dictionary of category name and genomes in that category""" inFile = open(genomeCatFile, 'r') catDict = {} for line in inFile: line = line.strip() entries = line.split() genome = entries[0] ca...
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def logprint(log): """wrapper for printing data inside userSetup.py :param log: The string to pring :return: """ print('userSetup.py: %s' % log)
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def receive_message(): """ Receive message from server :return: None """ while True: try: msg = client.recv(1024).decode('utf-8') print(msg) except: print("[EXCEPTION WHILE RECEVING]") client.close() break
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def _check_axes(axes): """Check if "axes" is an instance of an axis object. If not, use `gca`.""" if axes is None: import matplotlib.pyplot as plt axes = plt.gca() elif not isinstance(axes, Axes): raise ValueError( "`axes` must be an instance of matplotlib.axes.A...
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def StronglyEntanglingCircuitBlock(weights, periodic=True, r=1, imprimitive=CNOT, wires=None): """pennylane.template.StronglyEntanglingCircuitBlock(weights, periodic=True, r=1, imprimitive=qml.CNOT, wires) An individual block of a strongly entangling circuit. Args: weights (array[float]): shape ``(...
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def gauss_method_mpc(filename, bodyname, obs_arr=None, r2_root_ind_vec=None, refiters=0, plot=True): """Gauss method high-level function for minor planets (asteroids, comets, etc.) orbit determination from MPC-formatted ra/dec tracking data. Roots of 8-th order Gauss polynomial are computed using np.roots f...
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def removeCable(n, edges): """ @param n 道路 @param edges 连通情况 """ fa = initFa(n) totalW, nodes = 0, [] for x, y, w in edges: node = Node(x, y, w) nodes.append(node) totalW += w def getW(node): return node.w nodes.sort(key=getW) tmpW = 0 ...
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def attach_vnc(caller_id, vm_id): """ Attaches VNC redirection to VM. @cmview_user @param_post{vm_id,int} id of the VM to have attached VM redirection """ vm = VM.get(caller_id, vm_id) vm.attach_vnc() try: vm.save() except: raise CMException('vnc_attach')
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def test_date_time_max_inclusive003_1133_date_time_max_inclusive003_1133_v(mode, save_output, output_format): """ TEST :Facet Schemas for string : facet=maxInclusive and value=1999-05-12T10:31:00 and document value=1985-04-12T10:30:00 """ assert_bindings( schema="msData/datatypes/Facets/date...
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def upload(): """POST route through which downloading sequence is triggered :param checked: which pins were selected by user :returns: log of arrays with pins, files downloaded counts, and notes """ DASHRlut = findSNs(compCrawl()) checked = request.get_json() from read_file import read_sele...
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def verify_credentials(): """Verify credentials to gdrive for the current user""" if 'credentials' not in flask.session: return flask.redirect(flask.url_for('authorize_app', _external=True)) credentials = client.OAuth2Credentials.from_json( flask.session['credentials']) if credentials.access_token_exp...
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def _gaussian_blur(heatmaps, kernel=11): """Modulate heatmap distribution with Gaussian. sigma = 0.3*((kernel_size-1)*0.5-1)+0.8 sigma~=3 if k=17 sigma=2 if k=11; sigma~=1.5 if k=7; sigma~=1 if k=3; Note: batch_size: N num_keypoints: K heatmap height: H ...
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def pose_vec2mat(vec): """Converts 6DoF parameters to transformation matrix Args: vec: 6DoF parameters in the order of tx, ty, tz, rx, ry, rz -- [B, 6] Returns: A transformation matrix -- [B, 4, 4] """ # batch_size, _ = vec.get_shape().as_list() batch_size = tf.shape(vec)[0] ...
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def get_gradients_through_compute_gradients(optimizer, loss, activations): """Compute gradients to send to TPU embedding. Args: optimizer: a subclass of optimizer.Optimizer, usually CrossShardOptimizer. Used to call compute_gradients(). loss: a Tensor to call optimizer.compute_gradients() on. act...
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def distance_to_mesh(mesh, pts, engine="auto", bvh=None): """ Compute the distance from a set of points to a mesh. Args: mesh (:class:`Mesh`): A input mesh. pts (:class:`numpy.ndarray`): A :math:`N \\times dim` array of query points. engine (``string``): BVH engine na...
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def parse_config(settings: Any) -> Tuple[Dict[str, Queue], Dict[str, dict]]: """ SAQ configuration parsing. Args: settings: The settings (can be pydantic.BaseSettings). Returns: Tuple[Dict[str, Queue], Dict[str, dict]]: The SAQ queues and the queue settings. """ saq_queues: Di...
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async def test_manual_setup_connection_exception(hass: HomeAssistant): """Test configuration flow with a connection error.""" result = await hass.config_entries.flow.async_init( DOMAIN, context={"source": config_entries.SOURCE_USER} ) assert result["type"] == "form" assert result["step_id"] ...
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def create_zeros_slot(primary, name, dtype=None, colocate_with_primary=True): """Create a slot initialized to 0 with same shape as the primary object. Args: primary: The primary `Variable` or `Output`. name: Name to use for the slot variable. dtype: Type of the slot variable. Defaults to the type of `...
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def AdditionalMedicareTax(e00200, MARS, AMEDT_ec, sey, AMEDT_rt, FICA_mc_trt, FICA_ss_trt, ptax_amc, payrolltax): """ Computes Additional Medicare Tax (Form 8959) included in payroll taxes. Notes ----- Tax Law Parameters:...
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def append_step_list(step_list, step, value, go_next, mode, tag): """from step_list, append the number of times a step needs to be repeated if runmode or retry is present :Arguments: step_list = Ordered list of steps to be executed step = Current step value = attempts in runmode/re...
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def test_sorted_h5_keys_many(): """ Test to check a key is returned with many entries """ with TempDirectory() as tempdir: # Creating some dummy data d1 = np.random.random(size=(10, 20)) hf = h5py.File(tempdir.path + "data.h5", "w") # Adding entries in different order ...
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def load_license(request, project_slug): """ Reload the license input queryset with the right options for the access form's current access policy choice. Called via ajax. """ user = request.user project = ActiveProject.objects.filter(slug=project_slug) if project: project = project.g...
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def populate_db() -> None: """Populate the database using sample data""" users = [ { "username": "user1", "password": "pass_user1", "name": "User 1", "email": "user1@usermail.com", "role": "USER", "daily_calories": 2500, ...
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def wt(): """Return default word tokenizer.""" return WordTokenizer()
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def test_template_params(): """ Should print out text with passed params """ runner = CliRunner() result = runner.invoke(template.template, ['--name', 'Caesar was here', '--choose']) print(f'result: {result.output}') assert result.output == ('value: Caesar was here\n' ...
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def test_roller_value_changed(hass, mock_openzwave): """Test position changed.""" hass.data[zwave.zwave.DATA_NETWORK] = MagicMock() node = MockNode() value = MockValue(data=None, node=node, command_class=const.COMMAND_CLASS_SWITCH_MULTILEVEL) values = MockEntityValues(primary=v...
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def InstallAppengineDatabaseBackend(): """Installs the appengine database backend into Django. The appengine database lives in the db/ subdirectory of this package, but is known as "appengine" to Django. This function installs the module where Django expects to find its database backends. """ from appengin...
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def assert_(val: bool): """ usage.scipy: 916 usage.skimage: 18 usage.statsmodels: 351 """ ...
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def epochplot(epochs, *, ax=None, height=None, fc='0.5', ec='0.5', alpha=0.5, hatch='////', label=None, hc=None,**kwargs): """Docstring goes here. """ if ax is None: ax = plt.gca() ymin, ymax = ax.get_ylim() if height is None: height = ymax - ymin if hc is ...
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def training(dataset, database_path, resize, channels, normalization, transformations, lr, epochs, batch_size, train_iterations, valid_iterations, ...
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def do_db_sync(): """ Place a database under migration control and upgrade, creating first if necessary. """ api.db_sync(api.get_engine(), CONF.command.version)
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def run_dag( dag_id, run_id=None, conf=None, replace_microseconds=True, execution_date=None, ): """Runs DAG specified by dag_id :param dag_id: DAG ID :param run_id: ID of the dag_run :param conf: configuration :param replace_microseconds: whether microseconds should be zeroed ...
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def open_url(url: str, cache_dir: str = None, num_attempts: int = 10, verbose: bool = True) -> Any: """Download the given URL and return a binary-mode file object to access the data.""" assert is_url(url) assert num_attempts >= 1 # Lookup from cache. url_md5 = hashlib.md5(url.encode("utf-8")).hexdi...
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def main_ploting( title_: str or None, xlabel_: str or None, ylabel_: str or None, legends_: [str] or None, average_color_: str, average_fill_: str, ): """ if you want to edit the information of your graphic, edit this function """ if title_: ...
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def get_function_handle(method, var): """ Return a function handle to a given calculation method. Parameters ---------- method : str Identifier of the calculation method to return a handle to. var : dict Local variables needed in the mu update method. Returns ------- ...
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def build_receiver_model(params, ds_meta, utt_len: int, vocab_size: int, pre_conv=None) -> ReceiverModel: """ given the size of images from a dataset, and a desired vocab size and utterance length, creates a ReceiverModel, which will take in images, and utterances, and classify the images as being consi...
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def closeSeleniumWebDriver(web_driver): """ This method fetches all child (grandchild and all ancestors) process ids that was open in Selenium's Web Driver initialization. We're calling web_driver.quit() and then we're killing all ancestor's processes. If the process was meanwhile terminated, we're...
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def test_triangle_number_factors(): """ test Problem test_problem_12(answer) :return: """ from euler_python.easiest import p012 output = p012.triangle_number_factors(5) expected_output = 28 assert output == expected_output
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def fermi_fitness(strategy_pair, N, i, utilities, selection_intensity=1): """ Return the fermi fitness of a strategy pair in a population with N total individuals and i individuals of the first type. """ F, G = [math.exp(k) for k in fitness(strategy_pair, N, i, utilities)] return F / (F + G), G...
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def diff_smf(mstar_arr, volume, h1_bool, colour_flag=False): """ Calculates differential stellar mass function in units of h=1.0 Parameters ---------- mstar_arr: numpy array Array of stellar masses volume: float Volume of survey or simulation h1_bool: boolean True ...
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def get_parameter(dbutils, parameter_name: str, default_value='') -> str: """Creates a text widget and gets parameter value. If ran from ADF, the value is taken from there.""" dbutils.widgets.text(parameter_name, default_value) return dbutils.widgets.get(parameter_name)
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def single_init(cfg: GenomeConfig): """Random initialized floating GRU value, calculated via a normal distribution.""" return clip(gauss(cfg.gru_init_mean, cfg.gru_init_stdev), a_min=cfg.gru_min_value, a_max=cfg.gru_max_value)
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def get_recent_articles(request): """ 获取最近更新内容 """ user = get_login_user(request) recommend = request.POST.get('recommend', 'recommend') if recommend == 'unrecommend': articles = Article.objects.raw(get_other_articles_sql) elif recommend == 'recommend': articles = Article.ob...
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def add_close_export_to_cell(cell): """ Adds an HTML comment to close question export for PDF filtering to the top of ``cell``. ``cell`` should be a Markdown cell. This adds ``<!-- END QUESTION-->`` as the first line of the cell. Args: cell (``nbformat.NotebookNode``): the cell to add the c...
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def get_ram_list_linux(): """Get RAM list using dmidecode.""" cmd = ['sudo', 'dmidecode', '--type', 'memory'] dimm_list = [] manufacturer = 'Unknown' size = 0 # Get DMI data proc = run_program(cmd) dmi_data = proc.stdout.splitlines() # Parse data for line in dmi_data: line = line.strip() i...
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def test_random_startup_node(): """ Hard to test reliable for a random """ s = [{"1": 1}, {"2": 2}, {"3": 3}], n = NodeManager(startup_nodes=s) random_node = n.random_startup_node() for i in range(0, 5): assert random_node in s
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def get_capability_list(capability=esdl.Producer): """Returns a list of all subtypes of the specified capability. Used to get a list of e.g. all producers in ESDL The list is automatically generated based on the ESDL meta model""" subtype_list = list() for eclassifier in esdl.eClass.eClassifiers: ...
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def test_reset_password_bad_token(client: TestClient, session: db.Session): """Cannot change password with a bad token""" bad_token = uuid.uuid4() password = utils.generate_random_chars(8) response = client.post( f"/v2/reset/{bad_token}", json={"password": password, "password_confirm": p...
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def _get_exec_binary(binary, kw): """ On win32, the subprocess module can only reliably resolve the target binary if it's actually a binary; as for a Node.js script it seems to only work iff shell=True was specified, presenting a security risk. Resolve the target manually through which will acc...
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def init_SSE_square(Lx, Ly): """Initialize a starting configuration on a 2D square lattice.""" n_sites = Lx*Ly # initialize spins randomly with numbers +1 or -1, but the average magnetization is 0 spins = 2*np.mod(np.random.permutation(n_sites), 2) - 1 op_string = -1 * np.ones(10, np.intp) # initia...
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def filter_signal(eeg_df, iqrs, dic_filt_opts): """ Filter signal """ all_labels = list(eeg_df.columns) # check the order of labels label_grouped = False if all_labels[0].split('.')[-1] == all_labels[1].split('.')[-1]: label_grouped = True data_labels = all_pow_nod...
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def get_sym_inequiv_components( components: List[Component], spg_analyzer: SpacegroupAnalyzer ) -> List[Component]: """Gets and counts the symmetrically inequivalent components. Component data has to have been generated with ``inc_site_ids=True``. Args: components: A list of structure componen...
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def aic(llf, nobs, df_modelwc): """ Akaike information criterion Parameters ---------- llf : {float, array_like} value of the loglikelihood nobs : int number of observations df_modelwc : int number of parameters including constant Returns ------- aic : f...
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def summarize_logs(df, wells, cat, props, sr=0.5): """ Function to calculate petrophysical summaries based on well and categorical data. All logs averaged with simple arithmetic means (maybe supply log permeability to have a better averaged estimation) Parameters: logs (pd.DataFrame): datafra...
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def run_trap_harvesting(prev_values = [], selected_harvest= 0, radius= default_radius, height= default_height, slope= default_slope, delta= default_delta, constant_population= True): """Runs the model for one harvesting cycle. Where a harvesting cycle is period of time ending in the next low tide in which the trap ...
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def get_tfpn_mean(targets, predictions): """ 给定标签和预测,返回对应所有类的 Tp, FN, FP, TN 的平均值 :param targets: :param predictions: :return: """ cm = confusion_matrix(targets, predictions) total = np.array(cm).sum() TP = cm.diagonal().sum() FN = total - TP FP = FN TN = total * len(cm)...
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def salad(img_dir_path: str, test_size: float = 0.2, seed: Optional[int] = None, dir_names: tuple(str, str) = ('train', 'valid')): """ Physically split and shuffle the data(copy) in the directory like salad. default test size is 20%(0.2), seed is optional, default directory names 'train' and 'vali...
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def cal_deltaE00_from_LCh(LCh_1, Lab_2): """ Calculate the color difference :math:`\Delta E_{00}` between two given colorspace arrays. :param LCh_1: array-like :param Lab_2: array-like :return: numeric or ndarray """ Lab_1 = LCh2Lab(LCh_1) return deltaE00(Lab_1, Lab_2)
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def get_var_type_glue(vtype): """Get glue module from variable's type. Parameters ---------- vtype: data type Returns ------- Glue Module if glue exists, otherwise None. """ global DTYPE_TO_GLUE, PKG_NAME_TO_GLUE_ARGS glue_mod = DTYPE_TO_GLUE.get(vtype, None) if glue_mod is...
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def sgd(params, lr, batch_size): """小批量随机梯度下降。 Defined in :numref:`sec_linear_scratch`""" with torch.no_grad(): for param in params: param -= lr * param.grad / batch_size param.grad.zero_()
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def contract_TRG(state, svd_option_1st=None, svd_option_rem=None): """ Contract the PEPS using Tensor Renormalization Group. Parameters ---------- svd_option_1st: tensorbackends.interface.Option, optional Parameters for the first SVD in TRG. Will default to tensorbackends.interface.ReducedS...
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def riccati_3(nmax,x): """Riccati bessel function of the 3rd kind returns (r3, r3'), n=0,1,...,nmax""" x = np.asarray(x) result = np.zeros((2,nmax) + x.shape, dtype=complex) for n in range(nmax): yn = special.spherical_yn(n+1,x) ynp = special.spherical_yn(n+1,x, derivative=True...
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def conv_batch_relu_forward(x, w, b, gamma, beta, conv_param, bn_param): """ Convenience layer that performs a convolution, a batch, and a ReLU. Inputs: - x: Input to the convolutional layer - w, b, conv_param: Weights and parameters for the convolutional layer - gamma, beta, bn_param : batch n...
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def hex_layout(npos, width, rotate=None): """Compute positions in a hexagon layout. Place the given number of positions in a hexagonal layout projected on the sphere and centered at z axis. The width specifies the angular extent from vertex to vertex along the "X" axis. For example:: Y ^ ...
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def copy_sim_files(sim_file_list, sim_dir, param_dict): """ Given a list of file paths 'sim_file_list' and simulation directory 'sim_dir', copies the files to the simulation directory and replaces variables in those files. """ print("Copying {} to {} and replacing vars".format(sim_file_list, sim...
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def dup_zz_hensel_step(m, f, g, h, s, t, K): """ One step in Hensel lifting in `Z[x]`. Given positive integer `m` and `Z[x]` polynomials `f`, `g`, `h`, `s` and `t` such that:: f == g*h (mod m) s*g + t*h == 1 (mod m) lc(f) is not a zero divisor (mod m) lc(h) == 1 ...
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def generate_sobol_index_sample_sets(samplesA, samplesB, index): """ Given two sample sets A and B generate the sets :math:`A_B^{I}` from The rows of A_B^I are all from A except for the rows with non zero entries in the index I. When A and B are QMC samples it is best to change as few rows as poss...
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def export_gmt_files(files): """To convert the output .csv files to gmt: 1. Manually remove the index column and column labels. 2. Save file as .txt 3. Then change the suffix as .gmt """ path = "tfac/data/gsea_libraries/" for f in files: translate_gene_sets(pd.read_csv(path ...
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def setup_logfile_logger(log_path, log_level=None, log_format=None, date_format=None): """ Set up logging to a file. """ # Create the handler handler = WatchedFileHandler(log_path, mode='a', encoding='utf-8', delay=0) if log_level: # Grab and set the level level = LOG_LEVELS.get...
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def pubsub_pub_command(): """发布频道""" global r r.publish("my-first-channel", "my-first-channel-data")
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def test_suma(a, gen_b ): """Test suma""" #flexmock(gtw, suma=9 ) s = gtw.suma(a,gen_b) assert (s == a+gen_b)
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def test_tc_train_effectiveness(): """assert that training decreases the loss""" happy_tc = HappyTextClassification( model_type="DISTILBERT", model_name="distilbert-base-uncased" ) before_loss = happy_tc.eval("../data/tc/train-eval.csv").loss happy_tc.train("../data/tc/train-eval.csv...
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def fix_encoding_and_explain(text): """ Deprecated copy of `ftfy.fix_encoding_and_explain()`. """ warnings.warn( "`fix_encoding_and_explain()` has moved to the main module of ftfy.", DeprecationWarning, ) return ftfy.fix_encoding_and_explain(text)
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def test_cspad_xy_at_z() : """ Test cspad geometry table """ ## 'CxiDs1.0:Cspad.0)' or 'DscCsPad' basedir = '/reg/g/psdm/detector/alignment/cspad/calib-cxi-camera1-2014-09-24/' fname_geometry = basedir + '2016-06-03-geometry-cxi06216-r25-camera1-z175mm.txt' fname_data = basedir + '2016-...
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def parse_16bit_color(color16): """解析16位的颜色 :param color16: 16位的颜色值 """ r = int(gamma5[int((color16 >> 11) & 0x1F)]) g = int(gamma6[int((color16 >> 5) & 0x3F)]) b = int(gamma5[int(color16 & 0x1F)]) return (r, g, b)
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def remove_default_cube(): """ Remove the cube that is in the blender default scene to get an empty scene. """ bpy.data.objects["Cube"].select = True bpy.ops.object.delete()
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def test_ramp_up_weights(): """Test TPE adjust observed points correctly""" weights = ramp_up_weights(25, 15, True) assert len(weights) == 25 assert numpy.all(weights == 1.0) weights = ramp_up_weights(25, 15, False) assert len(weights) == 25 assert numpy.all(weights[:10] == (numpy.linspace(...
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def dqc_0008(instance, error_log, suppress_errors, namespaces): """DQC_0008 Reversed Calculation""" dts = instance.dts ns = get_namespace(namespaces, 'us-gaap') us_gaap_calc = dqc_0008_calculations.get(ns) if us_gaap_calc: for linkrole in dts.calculation_link_roles(arcrole_summation_item): ...
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def orders(): """ List all orders """ orders = Order.query.filter_by(user_id=current_user.id).all() return render_template('customer/orders.html', orders=orders, title="Orders")
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def packpeeklist1(n1, n2, n3, n4, n5): """ Packs and returns 5 item list """ listp = [n1, n2, n3, n4, n5] return listp
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def valid_commands(commands: List[str]) -> List[str]: """ Get list of valid commands from list of commands. :param (list) commands: User-supplied commands. :return: """ return [command for command in commands if command in available_commands()]
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def duck_list(request): """ lists all ducks """ ducks = Duck.objects.all() return render(request, 'duck/list.html', {'duck_list': ducks})
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def test_scheme_16(): """SCHEME 16: Rule 12: Remove Rings First Where the Linker Is Attached to a Ring Hetero-atom at Either End of the Linker Ring heteroatoms are more easy to functionalise and, therefore, are often functionalised in the later stage of a chemical library synthesis and thus less chara...
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def get_debian_version(file_path): """ Get the version of a debian file :param file_path: the path of the debian file :return: the version of the debian file """ cmd_args = ["dpkg-deb", "-f", file_path, "Version"] debian_version = run_command(cmd_args) return debian_version
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def hash_type( draw, hash_type_strategy: Optional[SearchStrategy[HashType]] = None ) -> HashType: """Composite strategy for fetching a :class:`~modist.package.hasher.HashType`.""" return draw(HashType_strategy if not hash_type_strategy else hash_type_strategy)
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def get_initializer(initializer_name): """Get the corresponding initializer function based on the initializer string. API of an initializer: init_fn, hparams = get_initializer(init) new_params, final_l = init_fn(loss, init_params, hps, num_outputs, input_shape) Args: init...
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def sh(cmd, grid=False, infile=None, outfile=None, errfile=None, background=False): """ simple wrapper for system calls """ if grid: return 0 # A fake retcode else: if infile: cmd += " < {0} ".format(infile) if outfile and outfile != "stdout": ...
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def clean_kubeflow_repo( shared_kubeflow_repo: Repository, clean_repo: Repository ) -> Generator[Repository, None, None]: """Creates a clean repo with a provisioned local kubeflow stack. Args: shared_kubeflow_repo: A repository with a provisioned local kubeflow stack clean_repo:...
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