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def slic(image, n_segments=100, compactness=10., max_iter=10, sigma=0, spacing=None, multichannel=True, convert2lab=None, enforce_connectivity=False, min_size_factor=0.5, max_size_factor=3, slic_zero=False): """Segments image using k-means clustering in Color-(x,y,z) space. Parameter...
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def build_from_path(in_dir, out_dir, num_workers=1, index=1): """Preprocesses the Biaobei dataset from a given input path into a given output directory. Args: in_dir: The directory where you have downloaded the Biaobei dataset out_dir: The directory to write the output into num_workers: ...
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def str_ljust(x, width, fillchar=' '): """Fills the right side of string samples with a specified character such that the strings are right-hand justified. :param int width: The minimal width of the strings. :param str fillchar: The character used for filling. :returns: an expression containing the fil...
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def partition_folder_path(file_path): """ This function provides the output path to which the data frame will be created :param file_path: file path from config_utils for the value 'output_file_path' :return: output file path with date partition """ file_path = file_path + str(datetime.datetime....
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def index(request): """Loads main page containing a MapBox map and the weight sliders.""" return render(request, "map/index.html")
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def parse_move(s: str) -> int: """ :param s: :return: """ try: v = int(s) except ValueError: v = -1 return v
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def exception_to_string(exc: Exception) -> str: """Convert exception to string stackrace""" # Either use passed original exception or whatever we have return TRACEBACK_HEADER + "".join(format_tb(exc.__traceback__)) + str(exc)
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def delete_site_config(config_dir): """ Delete site configs to local directory specified in config_dir :param config_dir: path to directory containing site configuration :return: None """ shutil.rmtree(config_dir, ignore_errors=True)
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def nc_copy_variables_attributes(nc_source, nc_destination, includes=[], excludes=[], renames=None, attr_includes=None, attr_excludes=None, attr_renames=None, attr_defaults=None, attr_appends=None): """Copy NetCDF var...
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def indice_x_norm(x_selected:float, x_norm:pd.Series): """ This function finds the indices for different values of the independent variable (x). The script considers the selected x_fixed point (for example: 0.15, 0.30, 0.45, 0.60, 0.75, 0.90). The output of the function are the observed limi...
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def get_all_drives(session, start=None, limit=None, return_type=None, **kwargs): """ Retrieves details for all drives for the VPSAOS. :type session: zadarapy.session.Session :param session: A valid zadarapy.session.Session object. Required. :type start: int :param start: Th...
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def preload_filter_options(): """ Aggregate all Articles' existing values for given FILTER_OPTION_KEYS and save them to the FilterOption collection in Mongo, replacing those that already exist. """ filter_options = {key: set() for key in FILTER_OPTION_KEYS} # keep track of set of casefolded values to preserve...
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def cache(self, key, fn): """ :param self: the object that will hold the cached value :param key: the key/attribute for the cached value :param fn: the function returning the value to be cached :return: the value returned by fn on first call """ if not hasattr(self, key): value = fn...
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def cursorColorForColormap(colormapName): """Get a color suitable for overlay over a colormap. :param str colormapName: The name of the colormap. :return: Name of the color. :rtype: str """ return _COLORMAP_CURSOR_COLORS.get(colormapName, 'black')
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def alarm_to_time(alarm: str): """ This function converts the time when the alarm is setted into seconds """ time_alarm = time.strptime(alarm + ":00", "%Y-%m-%dT%H:%M:%S") return time.mktime(time_alarm)
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def timer(): """ :this time is collect period.get from the db. """ print("Successfully completed a cycle, sleeping for 5 seconds ...") time.sleep(5) return
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def _compute_ious(dt, gt): """ compute pairwise ious """ ious = np.zeros((len(dt), len(gt))) for g_idx, g in enumerate(gt): for d_idx, d in enumerate(dt): ious[d_idx, g_idx] = _jaccard(d, g) return ious
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def get_top_articles(): """Most popular three articles of all time""" sql = """SELECT articles.title, COUNT(*) AS views FROM articles, log WHERE log.path = '/article/' || articles.slug GROUP BY articles.title ORDER BY views DESC LIM...
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def plot_binary_grid(masks, image_paths=""): """Plots a grid of results. Takes masks and option image_paths argument. If: Only masks, plots B&W binaries. Both masks and image_paths, uses get_overlay_image. Contributor: @tsipkens, Oct/2020 :param masks: list of binary masks :param i...
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def wiki_request(store, **params): """Build a network request for a given store""" # Default parameter params["format"] = "json" # Build request url = os.path.join(store, WIKI_API_FILE) data = urllib.parse.urlencode(params).encode() res = opener.open(url, data) # Return JSON results return json.loa...
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def overlap2(data): """ """ # Make a copy of the data. data2 = copy.copy(data) # Extract the first and last year and month. firstYear = int(data2[0][0][0 : 4]) firstMonth = int(data2[0][0][5 : 7]) lastYear = int(data2[-1][0][0 : 4]) lastMonth = int(data2[-1][0][5 : 7]) naTemp ...
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def meridional_curve(n_0, pitch, length, r_i, theta_i, npoints=40): """ Points on path of a ray passing through a grin lens. Args: n_0: index of refraction at center of grin lens [unitless] pitch: pitch or period of the lens [unitless] length: axial length of the lens [mm] r...
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def restore_model(session, saver, path): """ Initializes a model that has been previously trained and returns global step Args: session: Tensorflow session saver: Tensorflow saver path: Path where model to be loaded is Returns: Global step variable """ logger.info...
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def strip(fileName): """strip debugging informations from shared libraries and executables - mingw only!!! """ if CraftCore.compiler.isMSVC() or not CraftCore.compiler.isGCCLike(): CraftCore.log.warning(f"Skipping stripping of {fileName} -- either disabled or unsupported with this compiler") ret...
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def get_fake_users(): """Restituisce una lista di utenti fake""" with open('db/fake-data/users.json') as f: data = json.load(f) users = [] for row in data['results']: user = { 'username': row['login']['username'], 'email': row['email'], ...
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def spherical_to_cartesian(theta, phi, rho): """ Converts spherical coordinates into cartesian. """ x = rho * np.sin(phi) * np.cos(theta) y = rho * np.sin(phi) * np.sin(theta) z = rho * np.cos(phi) return x, y, z
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def insert(df: pd.DataFrame, col_name, col_value, allow_duplicates=False): """Adds a column to the end of the DataFrame :param df: DataFrame :param col_name: name of column to insert :param col_value: value of column to insert """ return df.insert(len(df.columns), col_name, col_value, allow_dup...
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def doChangePageSize(request, pageSize): """ Changes page size in user preferences""" try: u = User.objects.get(user=request.user.id) u.pagesize = pageSize u.save() return HttpResponse(_('saved pagesize %s') % pageSize) except Exception, inst: return HttpResp...
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def initialize_weights(model: nn.Module, activation: str = 'relu'): """Initialize trainable weights.""" for _, m in model.named_modules(): if isinstance(m, (nn.Conv2d, nn.ConvTranspose2d)): nn.init.kaiming_normal_(m.weight, mode='fan_out', nonlinearity=activation) if m.bias is ...
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def _solve_lagrange123_com_slow(i, q, xtol=1e-6): """ Solve for L1, L2, or L3 x position in the CoM frame in units of semi-major axis *a*. Parameters ---------- i : {1,2,3} L point to solve for q : float Mass ratio m2/m1 xtol : float Tolarance value for solver. ...
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def is_abs_bpath(d): """Returns true if it's an absolute blaze path""" return is_valid_bpath(d) and d.startswith('/')
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def get_network_fn(name, num_classes, weight_decay=0.0, is_training=False): """Returns a network_fn such as `logits, end_points = network_fn(images)`. Args: name: The name of the network. num_classes: The number of classes to use for classification. weight_decay: The l2 coefficient for the model weight...
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def job_product(job_name, pre_request=None): """Decorator to register a function as a job product handler. Example:: @job_product('build-playlist-report') def playlist_report_product(results): csv_file = "\n".join(results['file_lines']) response = HttpResponse(conte...
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def blockplural(parser, token): """ Same as plural filter Example: {% blockplural amount %}{% trans "Book" %}{% endblockplural %} """ nodelist = parser.parse(('endblockplural',)) parser.delete_first_token() tag_name, amount = token.split_contents() return PluralNode(nodelist, am...
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def preprocess_text(input: TextPreprocessingInput) -> TextProcessingOutput: """Clean up text data based on selected preprocessing steps.""" text = input.text if PreprocessingStep.REMOVE_SPECIAL_CHARACTERS in input.preprocessing_steps: text = re.sub(r"\W", " ", text) if PreprocessingStep.REMOV...
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def annotate(args): """Apply Autoperf HPC annotations to C/C++ code. Args: args: Provided by argparse. """ from .annotation.annotation import annotate as anno anno(args)
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async def send_comradely_reminder() -> None: """Send a comradely reminder.""" if not (env.COMRADELY_CONTACT and env.COMRADELY_MESSAGE): return log.info("Sending comradely message") signal.send_message(env.COMRADELY_MESSAGE, env.COMRADELY_CONTACT)
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def dso_nexus_add_proxy_repo(url, login_username, login_password, verbose, repository_name, remote_repo_url): """Add a Maven proxy repositories to the Nexus instance specified by URL""" exit_code = 0 errors = {} with nexus.Nexus( url, login_username, login_password, ...
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def sdss_fits_url(plate, mjd, fiber): """Return the URL of the spectrum FITS file""" return SDSS_URL % dict(plate=plate, mjd=mjd, fiber=fiber)
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def verbose(message): """Color format a message for verbose messages""" if __use_colors(): return "%s%s%s" % (COLOR_VERB, message, attr(0)) else: return message
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def dropout_constr(options, use_noise, trng, sampling): """This constructor takes care of the fact that we want different behaviour in training and sampling, and keeps backward compatibility: on older versions, activations need to be rescaled at test time; on newer veresions, they are rescaled at traini...
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def to_inter_sets(lines): """Groups linked entities and interpretation set.""" group_by_qid = defaultdict(set) for cols in lines: group_by_qid[cols[0]].add(cols[2]) return group_by_qid
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def gini_index(targets) -> float: """ Computes the gini index for a given target labels. Arguments: targets: A numpy array of shape (n_samples, ) Returns: The gini index for the given target labels. """ label_count = np.bincount(targets) return 1 - np.sum((label_count / len(t...
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def _call_slugs(filename, symbolic, strategy_file, affinity=None, logfile=None, other_options=None): """Call `slugs` and log memory usage and time. @param filename: path to SlugsIn file @param symbolic: if `True`, then make symbolic strategy @param strategy_file: dump st...
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def test_three() -> None: """ Test with three """ run_test([THREE], 'tests/expected/three.txt.out')
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def hyperopt_fit (model, X, Y, T, p0, **estimation_settings): """Calls Hyperopt. Exists to make passing arguments to the objective function easier. Arguments: model, X, Y, T, p0, estimation_settings: Just like other optimizers, see DE_fit. estimation_settings (dict): Optional. A...
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def get_type(data_field, derives=None): """ Parse type defined in <DataField> object and returns it. Parameters ---------- data_field : eTree.Element <DataField> or <DerivedField> XML element that describes a column. derives : eTree.Element <DataField> XML element that the derived field derive...
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async def test_default_availability_payload(opp, mqtt_mock): """Test availability by default payload with defined topic.""" await help_test_default_availability_payload( opp, mqtt_mock, number.DOMAIN, DEFAULT_CONFIG )
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def zero_grads(tensors): """ Sets gradients of list of Tensors to zero in place """ for p in tensors: if p.grad is not None: p.grad = torch.zeros_like(p.grad)
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def initialize_personality(): """ Initializes personality. Downloads the tarball and extracts the system image """ download_personality_tarball() get_system_image_from_tarball() override_options_for_personality()
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def matrix_product(m1, m2): """ Args: m1 (mpmath.matrix or numpy.ndarray): first matrix m2 (mpmath.matrix or numpy.ndarray): second matrix Returns: matrix product m1 * m2 with same data type as m1 and m2 """ if isinstance(m1, mpmath.matrix) and isinstance(m2, mpmath.ma...
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def exec_command_rc(*cmdargs, **kwargs): """ Wrap creating subprocesses. Return exit code of the invoked command. """ # 'encoding' keyword is not supported for 'subprocess.call'. # Remove it thus from kwargs. if 'encoding' in kwargs: kwargs.pop('encoding') return subprocess.call...
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def random_points_and_masses(max_points=10, min_mass=0.5, max_mass=2.0, max_coord=rbf_high, min_separation=0.5): """ returns: -shape [N, 3] numpy array of points, where N is between 2 and max_points -shape [N] numpy array of masses """ num_points = random.randint(2, ...
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def imresize(image, factor, interp="nearest", mode=None): """ resize an image with a specified resizing factor, this factor can also be the target shape of the resized image specified as tuple. """ interp_methods = { "nearest": PIL.Image.NEAREST, "bicubic": PIL.Image.BICUBIC, ...
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def enum_class_getitem(context, builder, sig, args): """ Return an enum member by index name. """ enum_cls_typ, idx = sig.args member = enum_cls_typ.instance_class[idx.literal_value] return context.get_constant_generic(builder, enum_cls_typ.dtype, member.v...
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def load_src_sample(args, suffix='', sources=None, mf=None): """ Load data from src_sample files :param args: command line params (used if sources are given by name or not given at all) :param suffix: may be used to select a ranage of files (e.g. suffix='*') or specific realizations :param sources: ...
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def get_key_from_insecure_cbc(encryption_oracle): """Recovers the key from the lazy encryption oracle using the key also as iv. The approach used is the simple one outlined in the challenge description. """ block_length = find_block_length(encryption_oracle.encrypt) prefix_length = find_prefix_lengt...
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def mises_pari_rembourse_si_perdant(cotes, mise_max, rang=-1, remb_freebet=False, taux_remboursement=1, output=False): """ Calcule les mises lorsque l'un des paris est rembourse. Par defaut, la mise remboursee est placee sur la cote la plus haute et le remboursement e...
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def sort_2GX(*msg): """ Route T-Stick messages for T-Stick #015. """ if msg[0] == 0: return False elif msg[0] == 1: named_return = collections.namedtuple('tstick_sensor', 'rawcapsense') rawcapsense = msg[1:] return named_return(list(rawcapsense)) # capsense_bits = coo...
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def export_tweets(): """ Export all results as CSV file from the latest tweet. :param limit: limit the number of result to be returned """ @copy_current_request_context def generate(): import io, csv output = io.StringIO() writer = csv.DictWriter(output, dialect='unix'...
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def dump_query_and_targets_to_log(query, targets): """Dump the Sequence objects in query and targets to the log as a DEBUG message.""" # Log our sequences: if LOGGER.isEnabledFor(logging.DEBUG): LOGGER.debug("Query Sequence:") dump_sequence_to_log(query) LOGGER.debug("Target Sequenc...
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def read_double(fid, count=1): """ Read 64bit float from bti file """ return _unpack_simple(fid, '>' + ('d' * count), count)
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def test_solver(a,b,c): """ Test that the program works, for a triangle of sides a,b,c.""" # first find the angles, testing SSS a1,b1,c1,A,B,C = solve(a=a,b=b,c=c) assert tuple_isclose((a,b,c), (a1,b1,c1)) test_triangle(a,b,c,A,B,C) tri = (a,b,c,A,B,C) # SAS tests assert tuple_isclose(t...
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def main(argv): """Terminates any kubernetes cluster associated with the account that is running with the name <username>.facebook360.dep.k8s.local. Args: argv (list[str]): List of arguments (used interally by abseil). """ aws_util = AWSUtil(FLAGS.csv_path) ec2_file = os.path.expanduser...
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def test__break_pattern_should_fail_with_one_char_separator(): """ Tests the _break_pattern function fails if the separator pattern has less than 2 character. The reason for enforcing this is because single-char separator patterns cannot be escaped correctly. """ with pytest.raises(ValueError): ...
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def is_rover_in_perpetual_loop(Rover): """ Check to see if rover is is in perpetual loop Inputs: Rover (Rover object) Returns: bool statement of the sign uniformity of the latest Rover steers """ if Rover.angling_towards_sample_start_time and not Rover.approaching_sample_end_time...
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def is_cuttingboard(fn, size_th): """Decides if fn belongs to the cutting board of if it contains information. The criterion to decide if a file is part of a recording is the following. If a video is part of a recording it has to have a size of aprox 4GB (maximum size of a file in the FAT system). But,...
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def gdf_geom_clip(gdf_in, clip_geom): """Filter a dataframe to contain only features within a clipping geometry Parameters --------- gdf_in geopandas dataframe to be clipped in province_geom shapely geometry of province for what we do the calculation Returns ------- fil...
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def getAnm(P, mstr, Bmat, findmin, findmax, Ndec): """ Return the (N+1)^2-element list containing SHDs of STFTs :param P: STFTs of the M channels of recordings :param mstr: Dict containing the microphone array properties :param Bmat: List of response equalisation matrices :param findmin: Index ...
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def _(message, *_): """ NOOP implementation of sphinx.locale.get_translation shortcut. """ return message
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def create(count, descriptorType=None, withoutTAP=False, withoutNTOR=False): """Create **count** descriptors of type **descriptor_type**. :param int count: The number of descriptors to generate. :type descriptorType: str or ``None`` :param descriptorType: One of ``"relay"``, ``"bridge"``, ``"hi...
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def random_color_hsv(): """random a hex color, only random h value to get a brighter color""" h, s, v = random.random(), 1, 1 float_rgb = colorsys.hsv_to_rgb(h, s, v) return convert_rgb([int(x * 255) for x in float_rgb])
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def optional(f: Callable[[S], T], x: Optional[S]) -> Optional[T]: """Apply ``f`` to ``x`` if ``x`` is not ``None``.""" if x is None: return None return f(x)
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def op_elem_vec_names(vecs, elem_op_labels, op_label_abbrevs): """ TODO: docstring """ if op_label_abbrevs is None: op_label_abbrevs = {} return [op_elem_vec_name(vecs[:, j], elem_op_labels, op_label_abbrevs) for j in range(vecs.shape[1])]
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def pdist(x, y, z, index, dmax=8.0): """ Pairwise distance computation for points in cartesian space. Does return distance vectors. """ dmax2 = dmax**2 m = len(x) n = m*(m - 1)//2 dx = np.empty((n, ), dtype=np.float64) dy = dx.copy() dz = dx.copy() dr = dx.copy() atom0 =...
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def ss(inlist): """ Squares each value in the passed list, adds up these squares and returns the result. Usage: lss(inlist) """ ss = 0 for item in inlist: ss = ss + item * item return ss
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def make_pre_build_hook(extra_compiler_config_params): """Return a pre-build hook function for C++ builders. When called, during graph build, it computes and stores the compiler-config object on the target, as well as adding it to the internal_dict prop for hashing purposes. """ def pre_build_...
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def stats_scraper(stat_type, columns, season_id, f): """ stat_type = "pitching"|"batting" columns: the number columns to scrape from the table season_id: the ps season id f: an open file where to write the lines """ table = get_stats_table(stat_type, season_id) for row in table[0]("tr")...
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def melfrequencies_mel_filterbank( num_bands, freq_min, freq_max, num_fft_bands ): """Returns centerfrequencies and band edges for a mel filter bank Parameters ---------- num_bands : int Number of mel bands. freq_min : scalar Minimum frequency for the first band. freq_max : s...
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def set_switch_parent(controls, parent_switch): """ Args: parent_switch (str): The name of a control group that has a switch (the control group has a switch when its 1 of 2 rigs are on 1 joint chain) """ controls = util.convert_to_sequence(controls) for control in controls: ...
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def get_commit_link(repo_name: str, commit_sha: str) -> str: """ Build a commit URL for manual browser access using full repository name and commit SHA1 :param repo_name: full repository name (i.e. `{username}/{repoanme}`) :param commit_sha: 40 byte SHA1 for a commit :return: A commit URL """ ...
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def create_short_link(db: Session, link: schemas.ShortLink): """Create and add a new short link """ chars = string.ascii_letters + string.digits random_string = ''.join(random.choice(chars) for i in range(8)) new_short_link = models.ShortLink( short_link_path = random_string ) # Ch...
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def test_make_optimization_constraints_not_in_analysis(test_analysis_with_data): """Test that a FeroError is raised if the constraints are not in the analysis""" with pytest.raises(FeroError): test_analysis_with_data.make_optimization( "test", { "goal": "maximize...
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def find_local_raw_5minute_file(station_id=None, month_unix_sec=None, top_directory_name=None, raise_error_if_missing=True): """Finds raw 5-minute file on local machine. This file should contain 5-minute METARs for one station-month. :param s...
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def print_missing_primary_keys(inspector: Any, schema: str) -> None: """Find and print tables in database that don't have primary keys.""" no_pks = [] for table in inspector.get_table_names(schema): pks = inspector.get_pk_constraint(table, schema) if len(pks) == 0: no_pks.append(...
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def username(user_id): """ Find the user name associated to a user ID. """ return UserIndex.instance().username(user_id)
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def get_sqr_levels(): """Get the sawtooth levels and take out the even harmonics to get square levels.""" saw_levels = get_saw_levels() levels = [] for i in range(len(saw_levels)): n = i + 1 level = saw_levels[n] if n % 2 != 0 else 0 levels.append(level) return levels
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def test_fileformat_pass_with_encoding_from_config(fs): """Get encoding from config.""" payload = """this {k1} is line 1 this is line 2 {k2} this is line 3 this {k3} is {k4} line 4 this !£$% * is {k5} line 5 """ in_path = './tests/testfiles/testsubst.txt' fs.create_file(in_path, contents=payload, enco...
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def load_temporal_statistics(keys): """Load statistical features of the lifted data, computed over the temporal domain at each spatial point. Parameters ---------- keys : list(str) Which data set(s) to load. Options: * {var}_min : minimum of variable var * {var}_max : maximu...
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def check_type(val, type_spec): """Checks whether `val` is of TFF type `type_spec`. Args: val: The object to check. type_spec: An instance of `tff.Type` or something convertible to it that the `val` is checked against. Raises: TypeError: If the inefferred type of `val` is not `type_spec`. ""...
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def parse_gpu_info_lines(gpu_lines): """Parses the gpu info from 2 lines cut out from the nvidia-smi result. Args: gpu_lines (list of strings): Two nvidi-smi lines representing current gpu info. Returns: Tuple: Gpu id ('gpuX') and a dict with gpu info. """ gpu_id = 'gpu{}'.format(...
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def get_file_list(csv_dir, entity): """Get list of CSV files for a given entity""" csv_file_list = os.listdir(csv_dir) file_list = [] for file in csv_file_list: if entity in file: file_list.append(file) return file_list
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def submit_batch_detection_api(images_to_detect: Iterable[str], task_lists_dir: str, detector_version: str, account: str, container: str, sas_token: str, ...
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def module_cassette(request: FixtureRequest, github_client): """ Provides a Betamax cassette scoped to the test module which record and plays back interactions with the GitHub API. """ # noqa: D400 cassette_name = request.module.__name__.split('.')[-1] with Betamax(github_client.session) as vcr: # print(f"Us...
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def fill_between_angle(arr, s, e, center=None, is_radian=True): """Fill Between ``s`` and ``e``. Args: arr (np.ndarray) : Input array. s (Number) : Start angle of fill. e (Number) : End angle of fill. center (tuple) : Center coor...
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def export(request, project_id): """get the status of train job sent to custom vision @FIXME (Hugh): change the naming of this endpoint @FIXME (Hugh): refactor how we store Train.performance """ project_obj = Project.objects.get(pk=project_id) train_obj = Train.objects.get(project_id=proj...
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def convert(data, in_format, out_format): """Call TogoWS for file format conversion. Arguments: - data - string or handle containing input record(s) - in_format - string describing the input file format (e.g. "genbank") - out_format - string describing the requested output format (e.g. "fasta") ...
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def test_get_external_market_center_price(monkeypatch, ro_worker): """ Simply test if get_external_market_center_price does correct proxying to PriceFeed class """ def mocked_cp(*args): return 1 from dexbot.strategies.external_feeds.price_feed import PriceFeed monkeypatch.setattr(PriceFee...
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def sort_by_labels(github_repo, pr_nums): """Sorts PR into groups based on labels. This implementation sorts based on importance into a singular group. If a PR uses multiple labels, it is sorted under one label. The importance order (for the end-user): - breaking changes - highlight - feat...
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def _get_submodel(model, name): """ Return the first occurence of a sub-model. Search is performed by model name. """ if not isinstance(model, CompoundModel): return model if model.name == name else None for m in model.traverse_postorder(): if m.name == name: return ...
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