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def clean_time_series(time, val, nPoi): """ Clean doubled time values and checks with wanted number of nPoi :param time: Time. :param val: Variable values. :param nPoi: Number of result points. """ import numpy as np # Create shift array Shift = np.array([0.0], dtype='f') # Shif...
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def deep_se_print(func: Callable) -> Callable: """Transforms the function to print nested side effects. Searches recursively for changes on deep inner attributes of the arguments. Goes down a tree until it finds some element which has no __dict__. For each element of the tree, if it has no __dict__ or...
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def test_convert_satoshis_to_btc(mock_rest_client): """It should convert between satoshis and BTC and vice versa.""" sat = Price(10000, Price.SAT, mock_rest_client) btc = sat.bitcoins assert sat.denomination == Price.SAT assert btc == 10000 / 1e8 new_btc = Price(btc, Price.BTC, mock_rest_client...
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def test_1_FBlockingIOError(): """ Tests formatting a FBlockingIOError exception. """ with pytest.raises(Exception) as excinfo: exc_args = { 'main_message': 'Problem with the construction project.', 'expected_result': 'A door', 'returned_result': 'A window', ...
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def prepare_checkpoints(path_to_checkpoints:str, link_keys=["link1","link2","link3","link4"], real_data=True,*args, **kwargs)-> str: """ The main function preparing checkpoints for pre-trained SinGANs of Polyp images. Parameters ----------- path_to_checkpoints: str A directory path to download ...
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def clean(deck_path: Path = Path(".")) -> None: """Wipe the build directory.""" logger = getLogger(__name__) paths = Paths.from_defaults(deck_path) if not paths.build_dir.exists(): logger.info(f"Nothing to do: {paths.build_dir} doesn't exist") else: logger.info(f"Deleting {paths.buil...
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def data_count(): """ :return: 数据集大小 """ return 300
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def grid_name_lookup(engine): """Constructs a lookup table of Institute names to ids by combining names with aliases and cleaned names containing country names in brackets. Multinationals are detected. Args: engine (:obj:`sqlalchemy.engine.base.Engine`): connection to the database Returns:...
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def sample_vMF(theta, kappa,size=1): """ Sampling from vMF This is based on the implementation I found online here: http://stats.stackexchange.com/questions/156729/sampling-from-von-mises-fisher-distribution-in-python (**** NOTE THE FIX BY KEVIN *****) which is based on : ...
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def fbx_mat_properties_from_texture(tex): """ Returns a set of FBX metarial properties that are affected by the given texture. Quite obviously, this is a fuzzy and far-from-perfect mapping! Amounts of influence are completely lost, e.g. Note tex is actually expected to be a texture slot. """ # M...
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def get_from_STEAD(key=None, h5file_path='/mnt/GPT_disk/DL_datasets/STEAD/waveforms.hdf5'): """ Input: key, h5file_path Output: data, p_t, s_t """ HDF5 = h5py.File(h5file_path, 'r') if key.split('_')[-1] == 'EV': dataset = HDF5.get('earthquake/...
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def test_dag_defaults_callbacks(): """DAG has default callbacks, but these can be overwritten by individual tasks.""" dag = create_dag("./tests/projects/dag_callbacks") # The DAG has specified default callbacks task1 = dag.get_task("task_1") task2 = dag.get_task("task_2") # Task 1 must have the DAG...
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def test_app(): """ """ """End Test"""
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def test_empty_list_entry_polygon_check(poly_geo_plot): """Check that the polygon assert fails a list with an empty entry.""" with pytest.raises(ValueError, match="Empty list or GeoDataFrame "): poly_geo_plot.assert_polygons([[]]) plt.close("all")
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def _safeFormat(formatter, o): """ Helper function for L{safe_repr} and L{safe_str}. """ try: return formatter(o) except: io = NativeStringIO() traceback.print_exc(file=io) className = _determineClassName(o) tbValue = io.getvalue() return "<%s instance...
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def get_int(name, default): """ Get an environment variable as an int. Args: name (str): An environment variable name default (int): The default value to use if the environment variable doesn't exist. Returns: int: The environment variable value parsed as an int ...
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def test_validate_version_parameter(): """ test of the version parameter validation """ rcdr = RenderedConfigDocsResource() with pytest.raises(ApiError): rcdr._validate_version_parameter('asdfjkl') try: rcdr._validate_version_parameter('buffer') rcdr._validate_version_pa...
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def now_func(): """Return current datetime """ func = get_now_func() dt = func() if isinstance(dt, datetime.datetime): if dt.tzinfo is None: return dt.replace(tzinfo=pytz.utc) return dt
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def flatten_search_result(search_result): """ Converts all nested objects from the provided search result into non-nested `field->field-value` dicts. Raw values (such as memory size, timestamps and durations) are transformed into easy-to-read values. :param search_result: result to flatten :return...
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def handle_interrupt_signals(handler_function): """Process interrupt signals""" signal.signal(signal.SIGINT, handler_function) signal.signal(signal.SIGPIPE, handler_function)
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def get_stretch_directory(sub_directory=''): """Returns path to stretch_user dir if HELLO_FLEET_PATH env var exists Parameters ---------- sub_directory : str valid sub_directory within stretch_user/ Returns ------- str dirpath to stretch_user/ or dir within it if stretch_us...
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def xroot(x, mu): """The equation of which we must find the root.""" return -x + (mu * (-1 + mu + x))/abs(-1 + mu + x)**3 - ((-1 + mu)*(mu + x))/abs(mu + x)**3
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def spliter(data_dict, ratio=[6, 1, 1], shuffle=True): """split dict dataset into train, valid and tests set Args: data_dict (dict): dataset in dict ratio (list): list of ratio for train, valid and tests split shuffle (bool): shuffle or not """ if len(ratio) != 3: r...
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def remove_setuptools(): """ Remove setuptools from the current environment. """ print("Removing setuptools") cmd = [sys.executable, '-m', 'pip', 'uninstall', '-y', 'setuptools'] # set cwd to something other than '.' to avoid detecting # '.' as the installed package. subprocess.check_cal...
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def NormaliseBinWidth(hist): """ Normalise each bin by its width @param hist: Histogram to normalize by the bin width """ for mybin in range(1,hist.GetXaxis().GetNbins()+1): bw = hist.GetXaxis().GetBinWidth(mybin) hist.SetBinContent(mybin, hist.GetBinContent(mybin)/bw) hist.S...
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def smooth(x, window_len=None, window='flat', method='zeros'): """Smooth the data using a window with requested size. This method is based on the convolution of a scaled window with the signal. :param x: the input signal (numpy array) :param window_len: the dimension of the smoothing window; should be...
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def copy_signatures( target_function: Callable, template_functions: List[TemplateFunction], exclude_args: Iterable[str] = None, ) -> Callable: """A decorator that copies function signatures from one or more template functions to a target function. Args: target_function: Function to modi...
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def landing(): """ displays the landing page. """ return render_template('landing.html')
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def partition_and_save_models(hex_prisms, base_prisms, partition_indices, filename = "hex_prism_grid.stl"): """Returns a list of fused sub-volumes which can be individually printed Args: hex_prisms: the hexagonal pillars of the model which hold the mirorrs base_prisms: the bottom hexagonal base...
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def _get_start_command(city: str) -> str: """Returns the docker run command needed for the MTS in order to train on the given city. Parameters ---------- city: str City the MTS should train on. Returns ------- docker_run_command: str Corresponding docker run command. ""...
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def dict2pdb(d): """Transform an atom dictionary into a valid PDB line.""" (x, y, z) = d['coords'] args = (d['at_type'], d['ser_num'], d['at_name'], d['alt_loc'], d['res_name'][-3:], d['chain_id'], d['res_id'], d['res_ic'], x , y , z , d['occupancy'], d['bfactor'], d['seg_id'], d['el...
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def spark_collect(): """Spark's collect :input RDD data: The RDD to collect. :output list result: The collected list. """ def inner(data: pyspark.rdd.RDD) -> ReturnType[list]: o = data.collect() return ReturnEntry(result=o) return inner
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def freeze_layers( model: torch.nn.Sequential, n_layers_to_train: int ) -> torch.nn.Sequential: """ Function to freeze given number of layers for selected model :param model: Instance of Pytorch model :param n_layers_to_train: number of layers to train, counting from the last one. ...
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def is_figlet() -> bool: """Ensure figlet exists""" process = subprocess.Popen( ['which', 'figlet'], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL, ) return process.wait() == 0
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def createDatabase(_database_folder): """ Downloads trading data for available markets and saves it to a folder. Downloads historical trading data with the highest resolution available and serializes it. It is recommended to pause between downloads to not trigger server's DDOS filter. :param _data...
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def generateHumanActivityBusiestDays(database): """Generate the Top 20 days with most human activity from the MySQL Database""" try: conn = pymysql.connect(host=conf.MYSQL_HOST, port=conf.MYSQL_PORT, user=conf.MYSQL_USER, passwd=conf.MYSQL_PWD, db=database) except pymysql.MySQLError as e: pr...
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def test_clear_error(): """Check that rcParams cannot be cleared.""" with pytest.raises(TypeError, match="keys cannot be deleted"): rcParams.clear()
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def test_derive_files_CyTOF_analysis(): """Check that CyTOF analysis CSV is derived as expected.""" ct = load_ct_example("CT_cytof_with_analysis") artifact_format_specific_data = { "cell_counts_assignment": {"B Cell (CD27-)": 272727, "B Cell (Memory)": 11111}, "cell_counts_compartment": {"...
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def test_colorby_change(viewer_plugin): """ Check that arboretum widget colours change when the attribute that the track is coloured by changes. """ viewer, plugin = viewer_plugin id = 140 plugin.track_id = id tree = plugin.plotter.tree old_color = tree.get_branch_color(branch_id=id...
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def get_headers(wsgi_env): """ Extracts HTTP_* variables from a WSGI environment as title-cased header names. """ return { key[5:].replace('_', '-').title(): value for key, value in wsgi_env.iteritems() if key.startswith('HTTP_')}
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def get_chats_between_users(user1, user2): """ Returns all chat objects between 2 users sorted by date posted. Note: It does not check if they are a connection """ return Chat.objects.filter(Q(sender = user1, receiver = user2) | Q(sender = user2, receiver = user1)).order_by('-date_posted')
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def merge(source, destination): """ Deep-Merge two dictionaries. Taken from http://stackoverflow.com/a/20666342/1928484. >>> a = { 'first' : { 'all_rows' : { 'pass' : 'dog', 'number' : '1' } } } >>> b = { 'first' : { 'all_rows' : { 'fail' : 'cat', 'number' : '5' } } } >>> merge(b, a) == { 'fir...
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def SequenceToConjunction(node): """Transform all SEQUENCE nodes into CONJUNCTION nodes. Sequences have the same semantic meaning as conjunctions, so we transform them to conjunctions to make query matching code simpler. Arguments: node: Root of the tree to transform. Returns: A tree with all SEQUE...
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def email_addresses_view_all(self) -> dict: """ Retrieve all existing EmailAddresses. :param self: :return { "ResponseType":"EmailAddresses", "Version":"1.0", "EmailAddresses": [ { "Version":"1.0", ...
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def adjusted_r2_score(ctx, pipeline, initial_metrics, num_rows): """Calculates the Adjusted R2 Score. See: https://en.wikipedia.org/wiki/Coefficient_of_determination#Adjusted_R2 Parameters: ctx (RecordingContext): The current context. pipeline (Pipeline): The pipeline being evaluated. ...
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def bilinear_sampling(img, dp): """ warp rgbd images using projected depth * pixel and bilinear sampling """ b, hw, _ = dp.shape _, _, h, w = img.shape dp = dp.reshape(-1, 3) # reshape dp to (b*h*w, 3) # homogeneous coord (wx, wy, w) -> real coord (x, y, 1) # restrict depth not to negat...
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def mname(obj): """ Get the full dotted name of the test method """ mod_name = obj.__class__.__module__.replace('h5py.tests.','') return "%s.%s.%s" % (mod_name, obj.__class__.__name__, obj._testMethodName)
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def sharpe(simple_returns, riskfree_rate, period=period.MONTHLY): """Compute the sharpe ratio of series of returns. Commonly used to measure the performance of an investment compared to a risk-free asset, after adjusting for its risk. Return the difference between the returns of the investment and the risk...
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def get_all_listing_types(): """ Get all listing types """ return models.ListingType.objects.all()
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def load_model(config_path, model_path): """ Not knowing exactly what model we may have saved, try to load both types. """ def load_gpt(): try: mconf = GPTConfig.from_json(config_path) model = GPT(mconf) model.load_state_dict(torch.load(model_path, map_location=devic...
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def protocol(monkeypatch): """Rflinkprotocol instance with mocked handle_packet.""" monkeypatch.setattr(PacketHandling, "handle_packet", Mock()) return PacketHandling(None)
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def new_from_at_rest(ethereum_network_at_rest: Dict[str, Any]) -> "EthereumNetwork": """Instantiate a new EthereumNetwork model from storage Args: ethereum_network_at_rest: The dto of the at-rest network from storage Returns: Instantiated EthereumNetwork client Raises: NotImpleme...
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def run(tests_names=None, common_kwargs=None): """ main function, launch the tests function from a list of test modules names :param tests_names: testers to execute :param common_kwargs: kwargs for all modules' functions :return: """ if common_kwargs is None: common_kwargs = {} t...
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def get_auth_twitter_consumer(hashed_twitter_id: str) -> tweepy.OAuthHandler: """auth twitter with saved tokens. Args: hashed_twitter_id(str): Returns: tweepy.OAuthHandler: """ user = user_db_session.query(User.token, User.token_secret).filter(User.hashed_user_id == hashed_twitter_id...
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def retrieve_object_coordinates_from_db( con, object_ids, key_object, verbose=False): """ object_ids is a pd.DataFrame with rows representing objects and columns Plate_Name Image_Metadata_WellID Image_Metadata_FieldID <key_object>_Number_Object_Num...
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def zip(fn): """ Higher-order tensor zip function. fn_zip = zip(fn) c = fn_zip(a, b) Args: fn: function from two floats-to-float to apply a (:class:`Tensor`): tensor to zip over b (:class:`Tensor`): tensor to zip over Returns: :class:`Tensor` : new tensor d...
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def config_file_has_self_install_dirs(config_file): """Config file has self install dirs""" has_self_install_dirs = False with open(config_file) as _f: for line in _f: if re.search(r'^hard_drive_\d+_label\s*=\s*(amigaosdir|kickstartdir|userpackagesdir)', line, re.I) or \ ...
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def implied_volatility(price, F, K, r, t, flag): """Returns the Black delta of an option. :param price: :type price: float :param F: underlying futures price :type F: float :param K: strike price :type K: float :param r: annual risk-free interest rate :type r: float :param t: ti...
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def __generate_node_config(boot_conf, hb_conf): """ Generates the node configuration for snaps-kubernetes :param boot_conf: the snaps-boot config dict :param hb_conf: the adrenaline config dict :return: list of dict containing the configuration of each kubernetes node """ out_list = list() ...
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def cmdReset(): """Function added to reset TI board, no longer used.""" try: mySocket.sendto('s' * 35 + ' reset', SERVER_IP) except TypeError: mainFrame.complain('Not connected')
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def cc_audio_offset(audio_file_1, audio_file_2): """ Get the audio offset between two WAV files, uses cross correlation Code influenced by https://github.com/rpuntaie/syncstart/blob/main/syncstart.py :param audio_file_1: :param audio_file_2: :return: """ sample_rate_1, audio_1 = wavfi...
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def main(): """main. """ args = parse_args() begin_event_file = args["file"][0] end_event_file = args["file"][1] troposphere_file = args["tfile"] if args["tfile"] is not None: meteo_tool = meteotool.MeteoTools(troposphere_file) lat, lon = meteo_tool.get_lat_lon() rh_...
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def crosstab(index: numpy.ndarray, columns: numpy.ndarray): """ usage.statsmodels: 2 """ ...
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def add_monoatomic(mof,ads_species,ads_pos): """ Add adsorbate to the ASE atoms object Args: mof (ASE Atoms object): starting ASE Atoms object of structure ads_species (string): adsorbate species ads_pos (numpy array): 1D numpy array for the proposed adsorption position Returns: mof (ASE Atoms object...
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def make_parser(parser_constructor=argparse.ArgumentParser): """Make argparse parser object for RedPen server. """ parser = parser_constructor( 'redpen', usage='%(prog)s [Options] [<INPUT FILE>]', description='CLI for RedPen server', add_help=False) parser.add_argument( ...
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def df_aidxf_ctl(): """Example df_aidxf of a molecule with a fragment combination of type connection tripodal linker.""" mol = Chem.MolFromSmiles('C1CC2CC1CCCCC1CCNC3CCCCCCC4CC2CC4CCCC13') return pd.DataFrame([ ['mol_ctl', 'XXX', 'QA', 0, [9, 10, 11, 12, 13, 28], 56.0, mol, Chem.Mol...
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def test_redirect(): """ python ~/misc/tests/python/test_tee.py """ # sys_attr = 'stdout' # redirector = PosixRedictSystemStream(sys_attr) # with redirector: # import ubelt as ub # cmake_exe = ub.find_exe('cmake') # subprocess.run([cmake_exe, '--version']) # print...
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def make_dunder_main(manifest): """Generate a __main__.py file for the given manifest.""" prelude = manifest.get("prelude_points", []) main = manifest.get("entry_point") scripts = prelude + [main] return MAIN_TEMPLATE.format(**locals())
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def test_detect_duplicate_upload_items(duplicate_items: List[JSONDict]) -> None: """Test duplicate items detected""" with pytest.raises(ValidationError) as e: invalid_collection = UploadCollection(items=duplicate_items) # noqa: F841 assert e.value.errors() == [ { "loc": ("item...
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def prefix_exists(bucket, key): """ensure_object_exists :param bucket: :param key: """ objects = S3_CLIENT.list_objects(Bucket=bucket, Prefix=key) contents = objects.get('Contents') if contents: return len(contents) > 0 return False
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def cron_task_container(task_dict, add_task_only=False): """ 定时任务容器. 调用目标函数, 并在运行结束后创建下一次定时 :param task_dict: 定时任务的相关参数, dict { "target":目标函数(可调用的函数对象,不是函数名字符串) 必须, "iterval":任务延时(秒) 可选, "priority":优先级 可选, "name":定时任务别名 可选 "args":位置型参数 (arg1,arg2) 可选, "kwargs":...
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def computeKxxPert(inpath, outpath, fraction): """ Takes a given matrix and sets randomly a fraction of all matrix values to nan. @param inpath: Matrix given in h5 file where values are set to nan @param outpath: Permuted matrix is stored in that h5 file @param fraction: determines how many values a...
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def abort(): """Stop exectution and return nonzero error code""" sys.exit(1)
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def mae(y, y_pred): """mean absolute error for two ranks(encoded as strings)""" errors = [abs(i - find_position(y, c)) for i,c in enumerate(y_pred) ] return np.mean(errors)
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def newMsgWin(tw): """ New task message window Create a new task message window, run the task displaying messages and handling communications * tw = TaskWindow for task to be executed. """ ################################################################ # Be sure gui thread started...
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def __add_common_args(parser: argparse.ArgumentParser): """ add common arguments to sub-parsers """ parser.add_argument("--model", help="name of the model to use. Use query --get-models to get a list of valid names.") parser.add_argument("--grid-type", help="type of the grid to use.") parser.add...
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def _get_config_dict(): """return the configuration dictionary with environment variables replaced""" with open(f"{path_to_here}/_config_calc.yml") as fid: config_dict_in = yaml.safe_load(fid) required_keys = ["project_tmpdir", "model_data_dir", "dash_asset_fname"] for key in required_keys: ...
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def plot_formatting(files_to_l, verbose=False): """ Reformats and writes the dictionary output to a text file to make plotting it in Excel easy Input: info_tuple --- a triplet from the calculate_generalized output """ num = 0 file_name = "GeneralizedDResultsByFile{0}.txt".format(num) wh...
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def create_update_model_fn(): """ """ def update_model(model): """ """ utils.apply_mask(model, use_cuda=False) return model return update_model
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def index_select_batch(data, indices): """Gather `indices` as batch indices from `data`, which can either be typical nd array or a list of nd array""" assert isinstance(indices, (tuple, list)) or (isndarray(indices) and len(indices.shape) == 1) if isndarray(data): return data[indices] asse...
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def gen_cmd(dali_root_dir, file_list, process_includes=False): """ Command for calling cpplint.py """ if not file_list: return ["true"] cmd = ["python", os.path.join(dali_root_dir, "third_party", "cpplint.py"), "--quiet", "--linelength=100", "--roo...
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def start_process(cmd): """ Start BrowserStackLocal foreground process. Monitor its output to find a specific text that indicates that the process has successfully established connection to BrowserStack server and ready to serve. Credits to https://stackoverflow.com/questions/10756383 :param ...
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def test_process_stream_good(responses_framer): """Test a buffer of good messages without noise.""" buffer = EXCEPTION_RESPONSE_FRAME + VALID_RESPONSE_FRAME callback = MagicMock(return_value=None) responses_framer.processIncomingPacket(buffer, callback) assert len(callback.call_args_list) == 2 ...
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def tnr_diff(y_true: pd.Series, y_pred: pd.Series, pa_name: str, priv_grp: int = 1): """ Returns the between-group difference of True Negative Rates Args: y_true (pd.Series): true target values y_pred (pd.Series): predicted target values prtc_attr (str): name of the protected attribute ...
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def call(value): """Call is meant to be used with the Method filter. It attempts to call the method specified. Usage: {% load custom_filters %} {% if foo|method:"has_access"|call %} This will invoke foo.has_access() """ if not callable(value): return "[%s is not calla...
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def permute_by_indices(list_of_things, *list_of_index_transpositions): """Given a list_of_things and a list of pairs of transpositions of indices [(i, j), (k, m), ...], return the list_of_things with the i-th an j-th values swapped, the k-th- and m-th values swapped, and so on. Examples -------- ...
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def _string_to_int(string: str) -> int: """ a helper function convert from string to int, like S1 -> 1 Args: string (str): input string Returns: (int): return value if this is a int, return 0 if this is not a int """ r = re.findall('\d+', string) if (len(r) > 0): ...
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def create_moving_path(**kwargs): """ User interface function to create Path object for moving load. :keyword: * start_point (`Point`): Start point of path * end_point (`Point`): End point of path * increments (`int`): Increment of path steps. Default is 50 * mid_point (`Point`): Default =...
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def np_ortho(shape, random_state, scale=1.): """ Builds a numpy variable filled with orthonormal random values Parameters ---------- shape, tuple of ints or tuple of tuples shape of values to initialize tuple of ints should be single shape tuple of tuples is primarily for co...
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def _bind_generic_argument_list(field_list): # type: (syntax.GenericArgumentList) -> ast.GenericArgumentList """Bind a generic argument list.""" ast_field_list = _bind_field_list(field_list, ast.GenericArgumentList) ast_field_list.fields = [_bind_field_list_entry(f) for f in field_list.fields] retur...
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def message_to_string(msg): """ Converts python message to string in a proper way. """ with closing(StringIO()) as fp: if six.PY3: g = Generator(fp, mangle_from_=False, policy=_compat32_crlf) g.flatten(msg, unixfrom=False) return fp.getvalue() g = Gen...
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def calculate_diag_OR(clusters,clusters_ind,status): """Calculate the Odds Ratio for the probability of being diagnosed linked to being in a certain cluster Parameters: clusters (dict): dictionary with cluster number as key and list of patients in cluster as value clusters_ind (list): indices...
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def build(obj, parent=None): """ Safely builds the object by calling its method 'build' only if 'obj' possesses a 'build' method. Otherwise, will convert it to a string using the 'str' function. If a parent is passed, all packages and preamble lines needed to the object will be added to the packages and preambl...
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def _no_negative_zero(val): """Make sure -0 is never output. Makes diff tests easier.""" if val == 0: return 0 return val
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def plot_predictions(ax, preds, satmut_len, seq_len, buffer): """ Plot the raw predictions for a sequence and target across the specificed saturated mutagenesis region. Args: ax (Axis): matplotlib axis to plot to. preds (L array): Target predictions for one sequence. satmut_len (i...
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def create_transformer_vectorizer(speech_file: SpeechFile) -> None: """ Creates a CountVectorizer and TfIdf transformer trained on all speeches of the given speech file. Stores them in the folder tfidf :param speech_file: File containing all the speeches """ speeches = [s.contents for s in speec...
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def weights(basis, X, deriv=None): """ Calculates the interpolant value or derivative weights for points X. :param basis: interpolation function in each direction, eg, ``['L1', 'L1']`` for bilinear. :type basis: list of strings :param X: locations to calculate interpolant weights :t...
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def svn_stream_readline(*args): """ svn_stream_readline(svn_stream_t stream, svn_stringbuf_t stringbuf, char eol, svn_boolean_t eof, apr_pool_t pool) -> svn_error_t """ return apply(_core.svn_stream_readline, args)
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def stream_json(data: Iterable[Dict[Hashable, any]]) -> StreamingHttpResponse: """ Stream all elements in `data` as JSON array using the StreamingHttpResponse class. Parameters ---------- data: Iterable[Dict[Hashable, any]] An Iterable of JSON-encodable elements. Returns ------- StreamingHttpResponse A st...
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def real_network_measures(): """ """
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