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def reshape(spectra): """Rearrange a compressed 1d array of spherical harmonics to 2d Args: spectra (np.ndarray): 1 dimensional storage of 2d spherical modes Returns: np.ndarray: 2-dimensional array of the reshaped input with zonal and meridional wavenumber coordina...
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def dict_factory(cursor, row): """ This method is used to convert tuple type to dict after execute SQL queries in python. :param cursor: :param row: :return: """ d = {} for idx, col in enumerate(cursor.description): d[col[0]] = row[idx] return d
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import torch def predict_batch(model, x_batch, dynamics, fast_init): """ Compute the softmax prediction probabilities for a given data batch. Args: model: EnergyBasedModel x_batch: Batch of input tensors dynamics: Dictionary containing the keyword arguments for the rel...
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def render_openapi(api, request): """Prepare openapi specs.""" # Setup Specs options = dict(api.openapi_options) options.setdefault('servers', [{ 'url': str(request.url.with_query('').with_path(api.prefix)) }]) spec = APISpec( options['info'].pop('title', f"{ api.app.cfg.name.ti...
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def apply_transformations(initial_representation: list, events: list) -> float: """Apply the transformations in the events list to the initial representation""" scale = 1 rot_angle = 0 trans_vector = [0, 0] for item in events: for event in item["events"]: if event["type"] == "TR...
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def affine_transform(transform, points): """ Transforms a set of N x 2 points using the given Affine object. """ reshaped_points = np.vstack([points.T, np.ones((1, points.shape[0]))]) transformed = np.dot(affine_to_matrix(transform), reshaped_points) return transformed.T[:,:2]
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from datetime import datetime def get_current_time_in_millisecs(): """Returns time in milliseconds since the Epoch.""" return get_time_in_millisecs(datetime.datetime.utcnow())
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def _convert_named_signatures_to_signature_def(signatures): """Convert named signatures to object of type SignatureDef. Args: signatures: object of type manifest_pb2.Signatures() Returns: object of type SignatureDef which contains a converted version of named signatures from input signatures object ...
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import math def get_test_paths(paths, snaps): """ Return $snaps paths to be tested on GLUE """ if snaps == -1: return paths interval = len(paths) * 1. / snaps test_paths = [] for i in range(1, snaps+1): idx = int(math.ceil(interval * i)) - 1 test_paths.append(paths[...
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def is_success(code): """Return that the client's request was successfully received, understood, and accepted.""" return 200 <= code <= 299
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def is_palindrome_v3(s): """ (str) -> bool Return True if and only if s is a palindrome. >>> is_palindrome_v3('noon') True >>> is_palindrome_v3('racecar') True >>> is_palindrome_v3('dented') False >>> is_palindrome_v3('') True >>> is_palindrome_v3(' ') True """ ...
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from typing import BinaryIO def read(fd: BinaryIO) -> Entity: """Read mug scene from `fd` file object. Args: fd: File object to read from. Returns: Root entity. """ if fd.read(4) != b'MUGS': raise ValueError("not a valid mug file format") return read_recursive(fd)
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def transform(x,y): """ This function takes an input vector of x values and y values, transforms them to return the y in a linearized format (assuming nlogn function was used to create y from x) """ final = [] for i in range(0, len(y)): new = y[i]#/x[i] final.append(2 ** new)...
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def _GRIsAreEnabled(): """Returns True if GRIs are enabled.""" return (properties.VALUES.core.enable_gri.GetBool() or properties.VALUES.core.resource_completion_style.Get() == 'gri')
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def fatorial(n, show=False): """ -> Calcula o Fatorial de um número :param n: O número a ser calculado. :param show: (opcional) Mostrar ou não a conta. :return: O valor do Fatorial de um número n. """ contador = n resultado = guardado = 0 print('-' * 35) while contador >= 0: ...
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def start_job(job, hal_id, refGenome, opts): """Set up the structure of the pipeline.""" hal = hal_id # Newick representation of the HAL species tree. newick_string = get_hal_tree(hal) job.fileStore.logToMaster("Newick string: %s" % (newick_string)) tree = newick.loads(newick_string)[0] rero...
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import os def user_base(username): """Base path of user files""" return os.path.join(BASE['user'], username)
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import argparse def get_args(arg_input): """Takes args input and returns them as a argparse parser Parameters ------------- arg_input : list, shape (n_nargs,) contains list of arguments passed to function Returns ------------- args : namespace contains namespace with k...
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def cleanup_databases(): """ Returns: bool: admin_client fixture should ignore any existing databases at start of test and clean them up. """ return False
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import sys def _round_down(rough_value, increment, minimum=None, maximum=None): """Utility method for rounding a value down to an increment. Args: rough_value: A float. The initial value to be rounded. increment: The increment to round down to. minimum: Optional minimum value, default is increment. ...
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def document_index_list(request, document_id): """ Show a list of indexes where the current document can be found """ document = get_object_or_404(Document, pk=document_id) object_list = [] queryset = document.indexinstancenode_set.all() try: # TODO: should be AND not OR Per...
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def spot_centroid(regions): """Returns centroids for a list of regionprops. Args: regions (regionprops): List of region proposals (skimage.measure). Returns: list: Centroids of regionprops. """ return [r.centroid for r in regions]
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import os def FindChromeSrcFromFilename(filename): """Searches for the root of the Chromium checkout. Simply checks parent directories until it finds .gclient and src/. Args: filename: (String) Path to source file being edited. Returns: (String) Path of 'src/', or None if unable to find. """ cu...
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def one_election_set_reg(request, election): """ Set whether this is open registration or not """ # only allow this for public elections if not election.private_p: open_p = bool(int(request.GET['open_p'])) election.openreg = open_p election.save() return HttpResponseRedirect(settings.SECURE_U...
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def overrides(conf, var): """This api overrides the dictionary which contains same keys""" if isinstance(var, list): for item in var: if item in conf: for key, value in conf[item].items(): conf[key] = value elif var in conf: for key, value in c...
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def annual_to_daily_rate(rate, trading_days_in_year=TRADING_DAYS_IN_YEAR): """ Infer daily rate from annual rate :param rate: the annual rate of return :param trading_days_in_year: optional, trading days in year (default = 252) :return: the daily rate """ return subdivide_rate(rate, trading_...
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def make_hashable(data): """Make the given object hashable. It makes it ready to use in a `hash()` call, making sure that it's always the same for lists and dictionaries if they have the same items. :param object data: the object to hash :return: a hashable object :rtype: object """ if...
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from typing import Dict from typing import Tuple def prepare_model_parameters( parameters: Dict[str, FloatOrDistVar], data: DataFrame, beta_fun, splines, spline_power ) -> Tuple[Dict[str, FloatLike], Dict[str, NormalDistVar]]: """Prepares model input parameters and returns independent and dependent param...
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import logging def paper_features_to_author_features( author_paper_index, paper_features): """Averages paper features to authors.""" assert paper_features.shape[0] == NUM_PAPERS assert author_paper_index.shape[0] == NUM_AUTHORS author_features = np.zeros( [NUM_AUTHORS, paper_features.shape[1]], dtyp...
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def set_chart_time_horizon(request) -> JsonResponse: """ Set the x-axis (time horizon) of a chart. API Call: /set_chart_time_horizon? monitor_name=<monitor name>& value=<time horizon to set> :param request: HTTP request that expects a 'monitor_name' and 'value' argument. 'value...
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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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from typing import Dict from typing import Any 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...
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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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import os import glob 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...
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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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from .sky_coordinate import SkyCoord from typing import Sequence 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 value...
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from typing import Tuple 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:...
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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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from datetime import datetime from pathlib import Path 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_n...
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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 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, # XS:...
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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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from functools import reduce from bs4 import BeautifulSoup 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_r...
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import sys 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_filenam...
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from typing import List from typing import Tuple from typing import OrderedDict 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). Th...
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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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from qharv.inspect import axes_pos 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 (...
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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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import json 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 vehic...
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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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import math 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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import torch 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: ...
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from typing import Union from typing import Callable 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, ...
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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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import os 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 'va...
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from datetime import datetime 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 = date...
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import os 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_nam...
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import collections 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 w...
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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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import os import sys 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__, o...
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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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import cartopy.crs as ccrs 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...
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import pandas import logging 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) ra...
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from typing import List from pathlib import Path 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="t...
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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 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 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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import subprocess 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") ...
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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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import os 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").rea...
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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 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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import logging 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"DEL...
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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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from typing import Mapping 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 m...
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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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from typing import Optional 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 strin...
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import sys import importlib 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]) mod...
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import wx def get_app_wx(*args, **kwargs): """Create a new wx app or return an exiting one.""" 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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import ast 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 e...
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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 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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import numba 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. ...
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import os from bs4 import BeautifulSoup 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...
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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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import numpy 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): ...
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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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