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def get_single_io_arg(info): """ Get single input/output arg from io info :param info: :return:input/output arg """ if 'valid' not in info: raise ValueError("Json string Errors, key:valid not found.") if info['valid']: check_arg_info(info) del info['valid'] de...
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def new_credentials( client_id: str, consumer_secret: str, data: Dict[str, Any] ) -> Credentials: """Create Credentials from config and json.""" return Credentials( access_token=str_or_raise(data.get("access_token")), token_expiry=arrow.utcnow().timestamp + data.get("expires_in"), to...
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def get_chains(table, ipv6=False): """ Return the existing chains of a table """ iptc_table = _iptc_gettable(table, ipv6) return [iptc_chain.name for iptc_chain in iptc_table.chains]
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def check_file(file): """ 检查本地有没有这个文件,相关文件路径能否找到文件 并返回文件名 """ # 如果传进来的是文件或者是’‘, 直接返回文件名str if os.path.isfile(file) or file == '': return file # 如果传进来的就是当前项目下的一个全局路径 查找匹配的文件名返回第一个 else: files = glob.glob('./**/' + file, recursive=True) # 验证文件名是否存在 assert len(fi...
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def unscale_fundamental_matrix(fundamental_matrix, M): """ Unscale fundamental matrix by coordinate scaling factor :param fundamental_matrix: :param M: Scaling factor :return: Unscaled fundamental matrix """ T = np.diag([1 / M, 1 / M, 1]) unscaled_F = T.T.dot(fundamental_matrix).dot(T) ...
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def initialize_server_request(request): """Shortcut for initialization.""" # Django converts Authorization header in HTTP_AUTHORIZATION # Warning: it doesn't happen in tests but it's useful, do not remove! auth_header = {} if 'Authorization' in request.META: auth_header = {'Authorization': r...
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def _parse_coordinate_arg(coords, frame, units, init_kwargs): """ Single unnamed arg supplied. This must be: - Coordinate frame with data - Representation - SkyCoord - List or tuple of: - String which splits into two values - Iterable with two values - SkyCoord, frame, or repr...
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def build_names(dependency: Dependency, version_in_url: bool = True) -> Tuple[RemoteResolver, str, str]: """ A function to build directory and file names based on the given dependency.. :param dependency: the dependency to create the file container for. :param version_in_url: a flag noting whether the ...
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def convert_apc_examples_to_features(examples, label_list, max_seq_len, tokenizer, opt=None): """Loads a data file into a list of `InputBatch`s.""" configure_spacy_model(opt) bos_token = tokenizer.bos_token eos_token = tokenizer.eos_token label_map = {label: i for i, label in enumerate(label_list,...
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def write_output(opts: AppOptions, out_lines): """ Writes the modified document lines to a new file with "MODIFIED" and a date_time tag added to the file name. Returns the file name. """ ds = datetime.now().strftime("%Y%m%d_%H%M%S") out_name = f"{opts.doc_path.stem}_MODIFIED_{ds}{opts.doc_path....
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def ssh_pub_key(key_file): """Creates a string of a public key from the private key file. """ key = paramiko.RSAKey(filename=key_file) pub = "{0} {1} autogenerated by polyphemus" pub = pub.format(key.get_name(), key.get_base64()) return pub
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def _variable_with_weight_decay(name, shape, stddev, wd, use_xavier=True, use_zeros=False, init=None): """Helper to create an initialized Variable with weight decay. Note that the Variable is initialized with a truncated normal distribution. A weight decay is added only if one is specified. Args: name: na...
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def test_main_info_with_ble_interface(capsys, reset_globals): """Test --info""" sys.argv = ['', '--info', '--ble', 'foo'] Globals.getInstance().set_args(sys.argv) iface = MagicMock(autospec=BLEInterface) def mock_showInfo(): print('inside mocked showInfo') iface.showInfo.side_effect = m...
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def build_mobile_vit(config): """Build MobileViT by reading options in config object Args: config: config instance contains setting options Returns: model: MobileViT model """ model = MobileViT(in_channels=config.MODEL.IN_CHANNELS, dims=config.MODEL.DIMS...
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def _openSerialPort(comport): """Opens the serial port name passed in comport. Returns the stream id""" #debuglog.info("Check if serial module is available in sys {}".format(sys.modules["serial"])) s = None try: s = serial.Serial( port=comport, baudrate=115200, ...
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def search_youtube(query, retries = 4, max_num_results = -1): """ Unlimited youtube search by web scrapping """ transformed_query = reduce(lambda s_ant, s_sig : s_ant + '+' + s_sig, query) if len(query) != 0 else '' scrapped_data = [] num_of_requests = 0 for i in range(retries): page = get_h...
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def threaded(count): """This is the main body of each thread. It will generate a `count` number of log messages (which will cause actor transmits to the logger) and then exit. """ try: time.sleep(1) for x in range(count): logging.debug('Msg %s of %s', x, count) ...
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def assert_less(first, second, msg_fmt="{msg}"): """Fail if first is not less than second. >>> assert_less('bar', 'foo') >>> assert_less(5, 5) Traceback (most recent call last): ... AssertionError: 5 is not less than 5 The following msg_fmt arguments are supported: * msg - the defa...
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def Pull( display_sentinel, json_filename, result_filename, first=False, output_stream=sys.stdout, ): """Called prior to committing a change pushed from a client to the local repository""" return _Impl( display_sentinel, json_filename, ...
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def show_vars(names: List[str]) -> None: """ List "variables" with values. This shows all known configuration settings as "variables" with their values or just the variables that are selected. This is a callback of a command. """ config_mapping = etl.config.get_config_map() all_keys = ...
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def define_empty_source_parallel_buckets(max_seq_len_target: int, bucket_width: int = 10) -> List[Tuple[int, int]]: """ Returns (source, target) buckets up to (None, max_seq_len_target). The source is empty since it is supposed to not contain data that can be bucketi...
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def _hue_scaling(args): """return scaled hue values as described in http://dlmf.nist.gov/help/vrml/aboutcolor args : ndarray of args / angle of complex numbers between in the open interval [0, 2*pi) q : scaled values returned in the interval [0, 1) """ q = 4.0*_np.mod((args/(2*_np.pi...
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def _java_junit5_test(name, srcs, test_package = None, deps = [], runtime_deps = [], testonly = True, classpath_resources = None, **kwargs): """ Establish Bazel ...
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def validate_max_synapse_rates(parsed_args): """Run the check""" use_saved_data = parsed_args.use_saved_data max_rates_2 = load_txt_data(DATA_DIR + "max_rates_2.txt") # max rates / 2 syn_n = len(max_rates_2) if use_saved_data: low_rates = load_txt_data(DATA_DIR + "low_rates.txt") low...
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def show(unmask: bool) -> None: """Show the account information stored in the plan engine.""" result = retrieve_account() if not result: click.secho("Account information is not set") else: token = result.pat_token if unmask else _mask_token(result.pat_token) click.secho("PAT toke...
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def get_orbs(fp, orbs, truncate=False, tol=1e-8): """ return the list of requested Kohn-Sham orbitals Args: fp (h5py.File): wf h5 file orbs (list): a list of 3-tuples, each tuple species the KS state by (kpoint/twist, spin, band) i.e. (ik, ispin, ib) truncate (bool, optional): remove PWs with ``sm...
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def geturlcgivars(baseurl, port): """ Extract CGI variables from baseurl >>> geturlcgivars("http://host.org/base", "80") ('host.org', '80', '/base') >>> geturlcgivars("http://host.org:8000/base", "80") ('host.org', '8000', '/base') >>> geturlcgivars('/base', 8000) ('', '8000', '/base') ...
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def insert_rails(file_path, half_gauge, drive_right = True, mr = 12.5, copy = True): # TODO - print 'progress messages' for done steps """ Deduces all rails' vertices from graph data and adds them to the json blueprint half_gauge represents distance between center of the road and of the vehicle, drive_...
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def prepare_log_for_upload(symbolized_output, return_code): """Prepare log for upload.""" # Add revision information to the logs. app_revision = environment.get_value('APP_REVISION') job_name = environment.get_value('JOB_NAME') components = revisions.get_component_list(app_revision, job_name) component_revi...
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def bucketize(point, bucket_size): """floor the point to the next lower multiple of bucket_size""" return bucket_size * math.floor(point / bucket_size)
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def find_unit(df): """find unit in the df, add column to df indicating which token contains unit and return the unit as string.""" doc_unit = "" # thousand = "(\$)(0){3}|thousand|€(\s*)thous|TEUR|T(\s*)€|Tsd|Tausend" # million = "millions|million|£(\s*)m|$(\s*)m|€(\s*)m|mn|mio(\s*)€|in(\s+)mio|MM|\d...
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def regular_channels(audio ,new_channels): """ torchaudio-file([tensor,sample_rate])+target_channel -> new_tensor """ sig ,sr =audio if sig.shape[0 ]==new_channels: return audio if new_channels==1: new_sig =sig[:1 ,:] # 直接取得第一个channel的frame进行操作即可 else: # 融合(...
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def is_less_than(maximum: Union[int, float, Decimal]) -> Callable[[Union[int, float, Decimal]], bool]: """ :param maximum: A number :return: A predicate that checks if a value is less than the given number """ def predicate(i: Union[int, float, Decimal]): """ :param i: A number ...
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def a_function(my_arg, another): """ This is the brief description of my function. This is a more complete example of my function. It can include doctest, code blocks or any other reST structure. >>> a_function(10, [MyClass('a'), MyClass('b')]) 20 :param int my_arg: The first argument of ...
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def substitute_vars(oldList, runSet=None, task_file=None): """ This method replaces special substrings from a list of string and return a new list. """ keyValueList = [] if runSet: benchmark = runSet.benchmark # list with tuples (key, value): 'key' is replaced by 'value' ...
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def run(csv_file_path, version, local_working_dir): """Main function to start the labeling.""" label_set, data_set = extract_relevant_columns(csv_file_path) # Build a label index and ask user to input more labels if needed. labels_list = _add_labels(list(label_set)) for i, row in enumerate(data_s...
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def _safe_filename(filename): """ Generates a safe filename that is unlikely to collide with existing objects in Google Cloud Storage. ``filename.ext`` is transformed into ``filename-YYYY-MM-DD-HHMMSS.ext`` """ filename = secure_filename(filename) date = datetime.datetime.utcnow().strftime(...
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def load_model(model_name, data_dir=''): """ Load and return a trained model @param model_name: base name for saved files @param data_dir: directory containing trained model """ # load json and create model json_file = open(os.path.join(data_dir, '%s.json' % model_name), 'r') ...
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def _make_with_custom_variables(func, variables): """Calls func and replaces any trainable variables. This returns the output of func, but whenever `get_variable` is called it will replace any trainable variables with the tensors in `variables`, in the same order. Non-trainable variables will re-use any variab...
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def create_loss_and_learner( model, labels, learning_rate, momentum_coef=0.0, wdecay=0.0, nesterov=False, gradient_clip_norm=None, gradient_clip_value=None): """ Auxiliary function to create loss function (cross entropy and softmax) and trainer using stochastic gradient descent with ...
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def main_CL(): """ Command line parsing and and defaults methods """ parser = OptionParser(usage=mainTaskUsage(), version='%s'%version) parser.add_option("-a", "--cmd", dest="cmd", default="get", help="Command type to use.") parser.add_option("-x", "--parm", dest="parm", default="", ...
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def get_opentsdb_config(): """Read and parse Open TSDB config from config.ini""" if os.path.exists(os.path.abspath(os.path.join(__file__, os.pardir, "config.ini"))): config_parser = ConfigParser.SafeConfigParser() config_parser.read(os.path.abspath(os.path.join(__file__, os.pardir, "config.ini")...
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def test_copying(): """ 5.3.8 :return: """ mo = my_object("mo") rhs = my_object("rhs") # 5.3.8.1 with pytest.raises(error_classes.UsePythonMethod): mo.copy(rhs) # 5.3.8.2 with pytest.raises(error_classes.UsePythonMethod): mo.do_copy(rhs)
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def mesh_subdivide_tri(mesh, k=1): """Subdivide a mesh using simple insertion of vertices. Parameters ---------- mesh : Mesh The mesh object that will be subdivided. k : int Optional. The number of levels of subdivision. Default is ``1``. Returns ------- Mesh A ...
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def make_projection(proj_params): """ turn a set of proj4 parameters into a cartopy laea projection introduced in read_resample.ipynb Parameters ---------- proj_params: dict dictionary with parameters lat_0, lon_0 datum and ellps Returns ------- cartopy...
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def _shape(df): """ Return DataFrame shape even if is not a Pandas dataframe.""" if type(df) == pandas.DataFrame or type(df) == pandas.Series: return df.shape try: shape = (len(df), len(df.columns)) except Exception as e: logging.error(e) raise e return shape
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def hvplot_line( df, title, x, y: List[str], output_dir: Path, vlines=None, save_figure=True, **kwargs ): """Draw line splot with optional vertical lines. Example: hvplot_line( df, title=col, x="time", # This is index name y=col_n...
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def load_zstack(fn): """ Returns zstack, [zmin, zmax] """ with open(fn, "rb") as f: d = np.fromfile(f,dtype=header_dtype,count=1,sep="") version, shape, zrange = d[0] zstack = np.fromfile(f,dtype='<f4',sep="").reshape(shape) return zstack, zrange
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def Download_ALEXI_from_WA_FTP(local_filename, DirFile, filename, lonlim, latlim, yID, xID, TimeStep): """Retrieves ALEXI data This function retrieves ALEXI data for a given date from the `<ftp.wateraccounting.unesco-ihe.org>`_ server. Args: local_filename (str): n...
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def parseFile(path): """ Read sections headed by :SectionName into lists by section name in a dictionary blank lines, line preceeding and ending whitespace and #Comments are stripped """ d={} currentList=None f = open(pathPrefix()+path, 'r') for t in f.readlines(...
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def test_kubernetes(): """ Test import of system_config file for kubernetes """ # Create the path to the system_config file systemfile = os.path.join( os.getcwd(), "controllerconfig/tests/files/", "system_config.kubernetes") # Test import and generation of answer file _test_system_...
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def setName(name): """ Sets the name of the robot. This is cleared with a power cycle and displayed on the robot screen during idle times Name will be shortened to 11 characters Args: name (any): Name to set for the robot. Will be cast to a string Returns: None """ name = ...
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def get_cmd_output(cmd): """Run a command in shell, and return the Unicode output.""" try: data = subprocess.check_output(cmd, shell=True, stderr=subprocess.STDOUT) except subprocess.CalledProcessError as ex: data = ex.output try: data = data.decode("utf-8") except UnicodeDec...
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def twoBodyCMmom(m_0, m_1, m_2): """relative momentum for 0 -> 1 + 2""" M12S = m_1 + m_2 M12D = m_1 - m_2 if hasattr(M12S, "dtype"): m_0 = tf.convert_to_tensor(m_0, dtype=M12S.dtype) # m_eff = tf.where(m_0 > M12S, m_0, M12S) # p = (m_eff - M12S) * (m_eff + M12S) * (m_eff - M12D) * ...
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def svn_repos_post_commit_hook(*args): """svn_repos_post_commit_hook(svn_repos_t repos, apr_pool_t pool) -> char""" return _repos.svn_repos_post_commit_hook(*args)
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def add_reconstruction_summaries(images, reconstructions, prebinary, num_imgs_to_visualize=8): """Adds image summaries.""" reshaped_img = stack_images(images, reconstructions, num_imgs_to_visualize) tf.summary.image('real_vs_reconstruction', reshaped_img, max_outputs=1) if preb...
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def run(one_worker_per_rse=False, once=False, rses=[], scheme=None, all_os_rses=False, older_than=30, sleep_time=1): """ Starts up the injector threads. :param one_worker_per_rse: If True, one worker per RSE; Otherwise, one worker for all RSEs. :param once: If True, only runs one iteration of the main ...
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def get_window_size(): """Return the window width and height""" width = os.popen( "xrandr --current | grep '*' | uniq | awk '{print $1}' | cut -d 'x' -f1").read().strip( "\n") height = os.popen( "xrandr --current | grep '*' | uniq | awk '{print $1}' | cut -d 'x' -f2").read().strip( ...
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def test_geo_ops_smoke(backend, fn_expr): """Smoke tests for geo spatial operations.""" geo_table = backend.table('geo') assert fn_expr(geo_table).compile() != ''
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def slot_selection_is_free(effect): """ all slots ar selected when participant applies """ activity = effect.instance.activity return activity.slot_selection == 'free'
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def get_consumption_tax(amount, tax_rate, decimal_type): """消費税を取得する。 :param amount: :param tax_rate: :param decimal_type: :return: """ if not amount: return 0 return get_integer(decimal_type, float(amount) * float(tax_rate))
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def homology(long_sequence, short_sequence): """ Cross-compare to find the strand of long sequence with the highest similarity with the short sequence. :param long_sequence: str :param short_sequence: str :return ans: str, the strand of long sequence with the highest similarity with the short sequen...
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def oneliner_to_phylip(line): """Convert one-liner to phylip format.""" seqs = line.strip(";\n").split(',') label_seqs = zip(seqs[:-1:2], seqs[1::2]) taxa_count = len(label_seqs) seq_length = len(label_seqs[0][1]) # pad all names to length of longest name + 1 space max_name_length = max([len...
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def _no_op_missing_kt_jvm_lib_impl(name, **kwargs): """ This is a help macro for missing concrete rule implementation. This will be used in cases when some dependencies require Kotlin rule implementation. Args: name: A unique name for this target. **kwargs: Anything else. Not used. ...
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def get_final_histogram(n_states, logfile, temp): """ This function analyzes the log file and performs the following tasks: 1. Output the counts of each lambda state at the last time frame (for plotting histogram) 2. Estimate the uncertainty of free energy difference from the final histogram Parane...
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def create_sql_delete_stmt(del_list, name): """ :param del_list: list of records that need to be formatted in SQL delete statement. :param name: the name of the table :return: SQL statement for deleting the specific records """ sql_list = ", ".join(del_list) sql_stmt = f"DELETE FROM method_u...
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def parse_track(trackelement): """Extract info from every track entry and output to list.""" print(trackelement) if trackelement.find('artist').getchildren(): #artist info is nested in loved/banned tracks xml artistname = trackelement.find('artist').find('name').text artistmbid = ...
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def flattencommand(input, separator, sort_keys, style, **kwargs): """ Flattens JSON input with nested or hierarchical structure into a flat (depth 1) hierarchy. Requires valid input. Examples: \b Example: Basic usage: $ echo '{"a":{"b":null,"c":"null","d":"","e":{"f":null},"g":{},"...
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def AddMutexEnvVarsFlags(parser): """Add flags for creating updating and deleting env vars.""" # TODO(b/119837621): Use env_vars_util.AddUpdateEnvVarsFlags when # `gcloud run` supports an env var file. key_type = env_vars_util.EnvVarKeyType value_type = env_vars_util.EnvVarValueType flag_name = 'env-vars' ...
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def _coord_matrix(model, pos, noutp): """ Create an array representing inputs and outputs of a simple model. The array has a shape (noutp, model.n_inputs). Parameters ---------- model : `astropy.modeling.Model` model pos : str Position of this model in the expression tree. ...
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def showp2rev(context, mapping): """Integer. The repository-local revision number of the changeset's second parent, or -1 if the changeset has no second parent.""" ctx = context.resource(mapping, 'ctx') return ctx.p2().rev()
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def puan_kam(text: str = 'สวัสดี', first: Optional[bool] = None, keep_tone: Optional[bool] = None, all: Optional[bool] = False, skip_tokenize: Optional[bool] = None): """Puan kum (ผวนคำ) is a Thai toung twister, This API convert string into kampuan Play ar...
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def _flask_app_from_location(module_name: str) -> flask.app.Flask: """ :param module_name: String specifying path and module name as well as actual flask app attribute. e.g., /path/to/module:flask_app """ module_and_app_name: str = (module_name.split('/')[-1]) module_file: str = module_and_app...
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def get_app_wx(*args, **kwargs): """Create a new wx app or return an exiting one.""" import wx app = wx.GetApp() if app is None: if 'redirect' not in kwargs: kwargs['redirect'] = False app = wx.PySimpleApp(*args, **kwargs) return app
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def do_part_1(): """ Solve the puzzle. """ data = input_lines(1) total = 0 for line in data: val, op = interpret_line(line) total = op(total, val) print(total) return total
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def handle_rpc_errors(fnc): """Decorator to add more context to RPC errors""" @wraps(fnc) def wrapper(*args, **kwargs): try: return fnc(*args, **kwargs) except grpc.RpcError as exc: # lnd might be active, but not possible to contact # using RPC if the wal...
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def _check_BoolOp_expr(boolop, t, env): """Boolean Operations.""" assert boolop.__class__ is ast.BoolOp op = boolop.op es = boolop.values assert op.__class__ in bool_ops, "%s not in bool ops" % cname(op) # (BoolOp) assignment rule. return all(check_expr(e, t, env) for e in es)
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def get_matproj(dbpath, cutoff, api_key, dataset_properties): """ Args: dbpath (str): path to the local database cutoff (float): cutoff radius api_key (str): personal api_key for materialsproject.org dataset_properties (list): properties of the dataset Returns: Atoms...
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def parse_change_values_from_opts(opts): """ Convert optparse style options into a dictionary for changing. :param opts: optparse style options :returns: a dictonary with change values to filter devices, supported parameters are ip, port, replication_ip, replication_port ...
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def save_annotations(index_value): """ Function to save the annotations """ try: if os.path.exists(CSV_FILENAME): with open(CSV_FILENAME, "a", encoding='utf-8') as file_object: wavfile_information_object = csv.writer(file_object) wavfile_information_object.w...
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def chooseMove(board,gameState): """called once per turn. Calls either escapeTrail or approachOpponent to determine move choice""" def escapeTrail(): """returns a command to move to the next space if we are in danger of an explosion Trail, or None if we are safe""" # if we are not currently on a...
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def xr_linear_trends_2D(da, dim_names, with_nans=False): """ calculate linear trend of 2D field in time ! slow, use xr_2D_trends instead input: da .. 3D xr DataArray with (dim_names) dimensions dim_names .. tuple of 2 strings: e.g. lat, lon dimension names output: da_trend ...
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def sanitize_email(email): """ Returns an e-mail address in lower-case and strip leading and trailing whitespaces. >>> sanitize_email(' MyEmailAddress@example.com ') 'myemailaddress@example.com' """ return email.lower().strip()
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def draw_perm_reps(data_1, data_2, func, size=1, args=()): """ Generate permutation replicates of `func` from `data_1` and `data_2` Parameters ---------- data_1 : array_like One-dimensional array of data. data_2 : array_like One-dimensional array of data. func : function...
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def construct(template_name, parameter_dict, path=""): """Construct an HTML file using a given template and parameters. Handles all necessary tasks for generating finished HTML files in output directory. Likely the tuscon function that the user will call most often in their code. :param template_name:...
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def get_attachment_form(parser, token): """ Get a (new) form object to upload a new attachment Syntax:: {% get_attachment_form for [object] as [varname] %} {% get_attachment_for for [app].[model] [object_id] as [varname] %} """ return AttachmentFormNode.handle_token(parser, token)
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def greet(name): """Greet message, formatted differently for johnny.""" if name == "Johnny": return "Hello, my love!" return "Hello, {name}!".format(name=name)
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def get_naca_points(naca_digits, number_of_points=100, sharp_trailing_edge=True, abscissa_map=lambda x: 0.03*x+0.97*x**2, verbose=False): """ Return a list of coordinates of NACA 4-digit and 5-digit series airfoils. """ if verbose: def explain(*s): print(...
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def get_request_now(): """ When constructing the SOAP request, the timestamps have to be naive but with localtime values. E.g. if the current offset is utc+1 and the utc now is 2016/03/30 0:00, the SOAP endpoint expects 2016/03/30 1:00 without tzinfo. That's pretty ugly but ¯\_(ツ)_/¯ In order to do...
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def test_2_2(): """Testing PWBS Config Manager""" # Import from ..config.pwbs_config import PWBS_ConfigManager from ..config.config_manager import PWBSConfigFileDontExistError from ..config.config_manager import PWBSInvalidConfigFile # Values t1 = PWBS_ConfigManager() t1.log.log("Test 2....
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def _make_decorator( obj: Wrappable, to_wrap: tp.Iterable[str] ) -> tp.Callable[[tp.Type[WrapperInjector]], tp.type[WrapperInjector]]: """Makes the decorator function to use for wrapping. Parameters ---------- obj : :obj:`ModuleType`, :obj:`type` or :obj:`object` The source object to wr...
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def logistic_regression_path(X, y, pos_class=None, Cs=10, fit_intercept=True, max_iter=100, tol=1e-4, verbose=0, solver='lbfgs', coef=None, class_weight=None, dual=False, penalty='l2', intercept_scaling=1...
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def merge_labels_below_minsize(labels: np.array, min_size: int, connectivity: int = 8) -> np.array: """ Takes labels below min_size and merges a label with a connected neighbor (with respect to the connectivity description). Ignores label 0 as ...
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def create_model_error_grid( func: MultiFidelityFunction, instances: Sequence[Instance], mfbo_options: Dict[str, Any], save_dir: Path, extra_attributes=dict(), plot_1d: bool=False, record_values: bool=False ) -> None: """Create a grid of model errors for the g...
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def plot_testfn(): """Make contour plots of all 6 test functions in 2d.""" assert plt_loaded, 'Matplotlib not installed' dim = 2 global c, w c = np.array([0.5] * dim) c = c / sum(c) * 9. w = np.array([0.5] * dim) xi = np.linspace(0., 1., 100) xx = mylib.meshgrid_flatten(xi, xi) ...
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def custom_cnn_model(config, labels, model_weights=None): """ Convolutional Neural network architecture based on 'Photonic Human Identification based on Deep Learning of Back Scattered Laser Speckle Patterns' paper. :param conf: Configuration list of models hyper & learning params :param labels: Lis...
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def check_day_crossover(tRxSeconds, tTxSeconds): """ Checks time propagation time for day crossover :param tRxSeconds: received time in seconds of week :param tTxSeconds: transmitted time in seconds of week :return: corrected propagation time """ tau = tRxSeconds - tTxSeconds if tau > ...
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def matrix2xyx_extrinsic(rotation_matrices: np.ndarray) -> np.ndarray: """ Rx(k3) @ Ry(k2) @ Rx(k1) = [[c2, s1s2, c1s2], [s2s3, -s1c2s3+c1c3, -c1c2s3-s1c3], [-s2c3, s1c2c3+c1s3, c1c2c3-s1s3]] """ rotation_matrices = rotation_matrices.reshap...
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def _merge_low_rank_eigendecomposition(S1, V1, S2, V2, rank=None): """Private helper function for merging SVD based low rank approximations. Given factors S1, V1 and S2, V2 of shapes [K1], [M, K1] and [K2], [M, K2] respectively of singular value decompositions A1 = U1 @ np.diag(S1) @ V1.T ...
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def usgs(path): """Reads USGS-formatted ASCII files. Reads the ascii format spectral data from USGS and returns an object with the mean and +/- standard deviation. Reference: https://www.sciencebase.gov/catalog/item/5807a2a2e4b0841e59e3a18d Args: path: file path the the USGS spectra text file....
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