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def update_exception_behavior(behavior_input, id): """ Executes a "update exception behavior" mutation with graphql-client :param behavior_input: the behavior input :param id: The id of the behavior to update :return: Server response """ behavior_variables = { "behaviorInput": behavi...
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def ps_dim(tasks): """ Dimension a Polling Server such that it fits into the provided task set. Parameters ---------- tasks : list of pSyCH.tasks.Periodic Task set whose schedulability is to be checked. Returns ------- sched : bool True if the task set is schedulable, F...
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def signature(obj, *, follow_wrapped=True): """Get a signature object for the passed callable.""" return Signature.from_callable(obj, follow_wrapped=follow_wrapped)
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def ingest_epv_into_graph(epv_details): """Handle implementation of API for triggering ingestion flow. :param epv_details: A dictionary object having list of packages/version as a nested object. Ex: { "ecosystem": "<ecosystem_name>", (*required) "packages": [ { ...
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def create_sys(Model, size, epsi, dens, init, bd_cond='periodic'): """Creates a instance of the LdftModel `Model` under the parameters `size`, `epsi`, `dens`. The `init`-parameter determines the initial density profile of the created system. Parameters ---------- Model : `class` The...
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def CItest(df,alpha): """ test whether the lower range of CI is larger than 0 or not""" ci = norm(*norm.fit(df['ED'])).interval(alpha) print(ci) if ci[0] < 0: print(str(alpha*100)+"%","Confidence: ED not significantly different from 0") else: print(str(alpha*100)+"%","Confidence: ED ...
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def predict_house_values(n, feature, label): """Predict house values based on a feature.""" batch = training_df[feature][10000:10000 + n] predicted_values = my_model.predict_on_batch(x=batch) print("feature label predicted") print(" value value value") print(" i...
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def limit(resource, value): """ Check if this is a valid limit for the number of matching resources to be specified. :param resource: :type resource: :param value: specified limit :type value: int :return: True if valid limit, False otherwise :rtype: bool """ return value > 0
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def sequence(values, rasts): """ Iterates through a sequence of linearly interpolated rasters. Args: values: The unknown values for which new rasters will be interpolated and returned. rasts: A dictionary of the known values and rasters between which the interpolated...
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def is_native_xmon_op(op: cirq.Operation) -> bool: """Check if the gate corresponding to an operation is a native xmon gate. Args: op: Input operation. Returns: True if the operation is native to the xmon, false otherwise. """ return isinstance(op, cirq.GateOperation) and is_native...
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def mono_extractor(b_format, azis=None, eles=None, mode='beam'): """ :param b_format: (frames, channels) IN SN3D :param mode: 'beamforming' or 'omni' :return: """ frames, channels = b_format.shape x = np.zeros(frames) if mode == 'beam': # MaxRE decoding b_format_n...
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def get_ranking_order_switches(list): """list has to be list of quadruples (obs_id, sent_id, score, rank) output from get_ranks function as in Ranking-Based Evaluation of Regression Models, Rosset et al.""" ranking_order_switches=0 #itearte over list, get observation i n = len(list) for i ...
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def b58_to_bytes(val: str) -> bytes: """ Convert a base 58 string to bytes """ return base58.b58decode(val)
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def generate_sphere(phi, theta, r): """ Generate points for structured grid for a spherical shell volume. This method is useful for generating a structured cylindrical mesh for VTK. :param phi: azimuthal angle array :param theta: polar angle array :param r: radius of sphere :return: grid poi...
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def get_target_langs(request): """ Get Target Languages for a CI Pipeline :param request: Request object :return: HttpResponse object """ if not request.is_ajax(): return HttpResponse("Not an Ajax Call", status=400) post_params = request.POST.dict() ci_pipeline = post_params.get...
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def _reciprocal_calculate(a): # pragma: no cover """ TODO: Replace this with more efficient algorithm From Fermat's Little Theorem: a^(p^m - 1) = 1 (mod p^m), for a in GF(p^m) a * a^-1 = 1 a * a^-1 = a^(p^m - 1) a^-1 = a^(p^m - 2) """ if a == 0: raise ZeroDivisionError...
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def page_list_return(total, current=1): """ page 分页,返回本次分页的最小页数到最大页数列表 """ min_page = current - 4 if current - 6 > 0 else 1 max_page = min_page + 6 if min_page + 6 < total else total return range(min_page, max_page + 1)
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def get_compatibility_tags(filename): """Get the python version and os architecture to check against. Args: filename (str): Wheel filename that ends in .whl or sdist filename that ends with .tar.gz. Returns: pyver (str)['py3']: Python version of the library py3 or cp38 ... abi (str...
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def brokerStatsRecord(mrktSym, cost_share, profLossShare, profit_Loss, quantity, price, postionDollarVal, dayChange, cost, profitLossPercent): """ Creates a record for the broker Statistics table in persistent storage. :param: mrktSym: String :param: cost_share: float :para...
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def _plot_field_layout(X, Y, Z, L_min): """Plot field layout.""" # Collector heights is illustrated with colors from a colormap norm = mcolors.Normalize(vmin=min(Z)-0.000001, vmax=max(Z)+0.000001) # 0.000001 is added/subtracted for the limits in order for the colormap # to correctly display the midd...
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def recv_msg(): """Receive a message from the extension.""" # Each message is serialized using JSON, UTF-8 encoded and is preceded with # 32-bit message length in native byte order. # Read the message length (first 4 bytes). length_bytes = sys.stdin.read(4) if len(length_bytes) < 4: rais...
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def test_agg_friction(gid): """Test SC Aggregation with friction by checking friction factors and LCOE against a hand calc.""" warnings.filterwarnings('ignore') for gid in [100, 114, 130, 181]: s = SupplyCurveAggregation.summary(EXCL_FPATH, GEN, TM_DSET, ...
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async def test_catch_request_error_unavailable( device_source_mock: DmsDeviceSource, ) -> None: """Test the device is checked for availability before trying requests.""" device_source_mock._device = None with pytest.raises(DeviceConnectionError): await device_source_mock.async_resolve_object("i...
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def get_deployment_dates(site, node, sensor, deploy): """ Based on the site, node and sensor names and the deployment number, determine the start and end times for a deployment. :param site: Site name to query :param node: Node name to query :param sensor: Sensor name to query :param deploy...
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def delete_documents_by_filter(filters: FilterRequest): """ Can be used to delete documents from a document store. :param filters: Filters to narrow down the documents to delete. Example: '{"filters": {{"name": ["some", "more"], "category": ["only_one"]}}' To delete ...
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def jpgs_in_dir(dir): """ (provided, DO NOT MODIFY) Given the name of a directory, returns a list of the .jpg filenames within it. Input: dir (string): name of directory Returns: filenames(List[string]): names of jpg files in directory """ filenames = [] for filename...
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def ensure_credential_server_running( foreground=False, run_once=False ): """ Instantiate our credential server and keep it running. """ # is the watchdog running? pids = syndicate_watchdog.find_by_attrs( "syndicate-credential-server-watchdog", {} ) if len(pids) > 0: # it's running ret...
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def main(): """ Run DARC Master """ parser = argparse.ArgumentParser(description="DARC master service") parser.add_argument('--config', default=CONFIG_FILE, help="Path to config file, loaded from $HOME/darc/config.yaml " "if it exists, el...
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def test_create_plotmon_from_historical(tmp_test_data_dir): """ Test for creating a plotmon based on a provided tuid """ set_datadir(tmp_test_data_dir) tuid = "20200504-191556-002-4209ee" plotmon = create_plotmon_from_historical(tuid) curves_dict = plotmon._get_curves_config() x = curv...
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def load_dbc(folder, verbose=True): """ Load all dbc files from specified folder add to dbc database. Parameters ---------- folder : str Absolute or relative path to folder, which contains dbc files. verbose : bool, optional Set to False to have no readout. The default is True. ...
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def unique_timestamps(data): """ Identify unique timestamps in a dataframe :param data: dataframe. The 'Time' column is used by default :returns: returns a sorted numpy array """ unique_timestamps = sorted(data['Time'].unique()) return unique_timestamps
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def printf_format_for_type(t, types): """ Returns a format string for printing the given type (either atomic or struct). """ description = type_description(t, types) if "struct" in description: specifer = printf_format_for_struct(t, types) else: specifer = description["printf_specifi...
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def get_operator_artifact_type(operatorArtifactString): """get_operator_artifact_type takes a yaml string and determines if it is one of the expected bundle types. :param operatorArtifactString: Yaml string to type check """ # Default to unknown file unless identified artifact_type = UNKNOWN_F...
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def is_occ_conflict_exception(e): """ Is the exception an OccConflictException? :type e: :py:class:`botocore.exceptions.ClientError` :param e: The ClientError caught. :rtype: bool :return: True if the exception is an OccConflictException. False otherwise. """ is_occ = e.response['Error...
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def summariseTests(tests): """ Iterates through a list of GPUVerifyTestKernel objects and prints out a summary """ OpenCLCounter=0 CUDACounter=0 passCounter=0 failCounter=0 xfailCounter=0 skipCounter=0 for test in tests: #Record kernel type if test.path.ends...
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def replace_list_element(l, before, after): """Helper function for get_cluster_idx """ for i, e in enumerate(l): if e == before: l[i] = after return l
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def _verify_tf_cond_branch_vars(vars_, symbol_names, branch_name): """Verifies variables output by a conditional branch for consistency.""" for name, var_ in zip(symbol_names, vars_): if isinstance(var_, variables.Undefined): raise ValueError( "'{}' must also be initialized in the {} branch".for...
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def hit_counter_from_list(filenames, barcode): """ :param filenames: all files from a single barcode - just the same hit_counter but for a list of filenames :param barcode: the barcode associated to our experiment :return: a dict {genome:hits} """ genomes = dict() for name in filenames: ...
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def test_get_na_switch_game_no_box_art_value_error(): """Test we use no box art url if the games doesn't have a box art url.""" wishlist = ["title1"] eshop = EShop("US", Mock(), wishlist) game = { "msrp": 14.99, "nsuid": 70010000532, "salePrice": 8.24, "title": "Aggelos",...
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def test_access_token(token): """Test checks if the token is not None""" assert token is not None
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def average(v): """ :param v: a list of numerical values :return: average for a list of values expressed as a float """ return sum(v) * 1.0 / len(v)
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def create_file2(file_list): """ Function to merge ascii files. Parameters ------------- file_list : 'str' Path to the files. Taken automatically. Returns ------------- Merged file: output_file.txt """ with open('output_file.txt', 'w') as file3: readers = [open(file) for file in file_list] ...
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def get_all_projects_of_type(project_type: int): """Get the project ids for active and inactive projects in Firebase DB.""" project_id_list = [] fb_db = firebaseDB() # we neglect private projects here # since there are no projects set up in production yet status_list = ["active", "inactive"] ...
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def leaf_actions( root: morello.impl.base.Impl, include_inner_impl=False, skip_sliding=False ) -> Iterable[tuple[Callable, int]]: """Yields callables for each action possible in root's leaves. More specifically, this yields from a concatenation of all leaves' actions wrapped in functions that yield, no...
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def set_engine(filename, *, resolve: bool = False, require: bool = False, title: typing.Optional[str] = None, title_memory_tag: str = _globals.MEMORY_TAG): """Return new sqlite3 engine and set it as default engine for treedb.""" log.info('set_engine: %...
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def test_external_program_page_faculty_subpage(): """ FacultyMembersPage should return expected values if associated with ExternalProgramPage """ external_program_page = ExternalProgramPageFactory.create() assert not external_program_page.faculty FacultyMembersPageFactory.create( ...
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def camel_split(string): # test: (str) -> str """ >>> print('(%s)' % ', '.join("'%s'" % s for s in camel_split('theBirdsAndTheBees'))) ('the', 'Birds', 'And', 'The', 'Bees') >>> print('(%s)' % ', '.join("'%s'" % s for s in camel_split('theBirdsAndTheBees123'))) ('the', 'Birds', 'And', 'The', 'Be...
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def iSP(a: Point, b: Point, c: Point) -> Turn: """iSP Determine the positional relationship of the three Points. Returns ------- Turn direction """ flg = sign((b - a).det(c - a)) if flg == 1: return Turn.CCW elif flg == -1: return Turn.CW else: if si...
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def init_particle_set(): """ Initialize the particles uniformly across the entire map. Thresholded map is available -> Randomly select free cells in the occupancy map -> Assign particles to those cells along with a random orientation value [0,360] Inputs: occupancy_map {(X,Y)->(row, colu...
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def generatePathsACS(ants: list, graph: np.ndarray, H: np.ndarray, P: np.ndarray, alpha: float, beta: float, decay: float, pher_init: float, Q: float, exp_heuristic: bool = True) -> list: """ Function that performs the exploration of the graph using the Ant Colony Syste...
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def test_exception(exception_phase: ProcessPhase) -> None: """ Tests that we can run multiple processes where one of them raises an exception. """ manager = ProcessManager( processes=( ProcessInfo( module=__name__, name="proc1", args=( ...
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def fit_a_model(args): """ Parallelizable """ model, model_args, x_train, y_train, x_test, y_test = args classifier = model(**model_args) # NOTE: Not best practice, but otherwise warnings pollute try: with warnings.catch_warnings(): classifier.fit(x_train, y_train.va...
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def detect_hfo_cs_beta(sig, fs=5000, threshold=0.1, cycs_per_detect=4., mp=1): """ Beta version of CS detection algorithm. Which was used to develop CS detection algorithm. Parameters ---------- sig: numpy array 1D numpy array with raw data fs: int Signal sampling frequency ...
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def get_comments(user): """Returns all of the user's comments""" comments = '' for comment in user.get_comments(limit=None): comments = comments + ' ' + comment.body return comments
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def is_supported(): """Get whether Dialite is supported for the current platform.""" return not isinstance(_the_app, StubApp)
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def _check_axes_range(axes, ndim): """ Check axes are within the number of dimensions of tensor x and normalize the negative axes. Args: axes (Union[int, tuple(int), list(int)]): Axes of the tensor. ndim (int): The number of dimensions of the tensor. Return: Axes (Union[int, tupl...
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def testunit(func, start, end): """ Test unit that records elapsed time """ start_time = time() func(start, end) end_time = time() resultStr = "" resultStr += "Function:\t{}\nElapsed time:\t{}\n".format(func.__name__, end_time ...
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def compare_token_sets(qset, iset, intersector, counter, high_intersection_filter, len_legalese, unique, rule, filter_non_matching=True, high_resemblance_threshold=0.8): """ Compare a `qset` query set or multiset with a `iset` index rule set or multiset. Return a tupl...
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def write_task_group(task_group, task_path): """Write a valid task group to a path. Parameters ---------- task_group : tcor.group.TaskGroup A prepared task group """ with open(task_path, "wb") as f: if task_group.valid_group_task is True: json.dump(task_group, f) ...
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def cm_LU_USGS24(): """Land use colormap. https://github.com/blaylockbk/pyBKB_v2/blob/master/BB_cmap/landuse_colormap.py # MUST SET VMAX AND VMIN LIKE THIS TO SCALE COLOR RANGE CORRECTLY cm, labels = LU_MODIS21() plt.pcolormesh(LU_INDEX, cmap=cm, vmin=1, vmax=len(labels) + 1) """ C =...
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def lazy_value(fce): """ The decorator for only once computed value. Same a functools.cache, but there is no need to take care of arguments. """ x = [] """ Hack for staticmethod decorator, which is in fact binded by the descriptor protocol """ if isinstance(fce, staticmethod): fce =...
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def identity_by_descent(dataset, maf=None, bounded=True, min=None, max=None) -> Table: """Compute matrix of identity-by-descent estimates. .. include:: ../_templates/req_tvariant.rst .. include:: ../_templates/req_biallelic.rst Examples -------- To calculate a full IBD matrix, using minor al...
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def sanitize_cloud(cloud: str) -> str: """Fix rare cloud layer issues""" if len(cloud) < 4: return cloud if not cloud[3].isdigit() and cloud[3] not in ("/", "-"): # Bad "O": FEWO03 -> FEW003 if cloud[3] == "O": cloud = cloud[:3] + "0" + cloud[4:] # Move modifiers ...
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def list_permission(request): """显示权限名称的列表""" tpl_name = 'user/list_permission.html' perms = Permission.objects.all() info = {'perms':perms} return render(request,tpl_name,info)
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def compute_sphercial_clustering_loss(centroids, features, batch_memberships): """Compute repulsive chain loss Args: features: [B, C] l2 normalized data, cf) B: batch size, C: feature dimension memberships (int): [B, ] current membership centroids: [K, C] cluster centers ...
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def av_client_start( tutk_platform_lib: CDLL, session_id: Union[int, c_int], username: bytes, password: bytes, timeout_secs: int, channel_id: int, ) -> typing.Tuple[c_int, c_uint]: """Start an AV client. Start an AV client by providing view account and password. It shall pass the au...
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def client_match_template(template_img_location, conf=0.8, region_=(0, 0, 1920, 1080)): """ Using pyautogui.locateCenterOnScreen() to check where are buttons to click. Parameters ---------- template_img_location : template img path conf : confidence The default is 0.8. Returns ------- ...
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def print_queues(policies) -> None: """Join list which are the queues. Add worw titles to row using zip(tuple)""" cat = ("Queue ->", "Class Rate ->", "Class Pkts ->", "Class Bytes ->", "Out Bytes ->", "Out Pkts ->", "Drop Bytes ->", "Drop Pkts ->", ...
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def balance_data(data): """ DEPRECATED """ survived, died = count_survivors(data['Survived']) remove_n = abs(survived - died) dropId = [] if survived > died: dropid = np.random.choice(data[data['Survived'] == 1].index, remove_n, replace=false) elif survived < died: dropId = np.ra...
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def main(): """Create cylc public database, then run diagram creation tool.""" with tempfile.NamedTemporaryFile() as tf: # is_public=False triggers the creation of tables CylcSuiteDAO(db_file_name=tf.name, is_public=False) db_name = "sqlite:///{}".format(tf.name) render_er(db_nam...
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def log_concave_rejection_sampler( mode, prob_fn, dtype, sample_shape=(), distribution_minimum=None, distribution_maximum=None, seed=None): """Utility for rejection sampling from log-concave discrete distributions. This utility constructs an easy-to-sample-from upper bound for a discret...
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def login(user_name, password): """ This function takes user name and password to login into Github account. Args: :param user_name: Github username :param password: Github password Returns: error_dict (dict): If it's logged in successfully or not with the error m...
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def make_tukey(n, a=0.5): """Make a tukey window Args: n (int): Number of points a (float, optional): Width of window. Defaults to 0.5. Returns: np.array: Weights """ x = np.arange(n) weights = np.ones_like(x, dtype=float) weights[0:int(a*n/2)] = 1/2*(1-np.cos(2*np....
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def PhaseLegalization(fun: ir.Fun, unit: ir.Unit, _opt_stats: Dict[str, int], fout): """ Does a lot of the heavily lifting so that the instruction selector can remain simple and table driven. * lift almost all regs to 32bit width * rewrite Ins that cannot be expanded * rewrite immediates that ca...
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def remove_excessive_pdf(): """ this function equivalently checks the difference between pdf and xml sets and removed any unmatched pdf files """ categories = get_excessive_pdf() # a generator which contains the category name and corresponding file names for articles in categories: ...
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def linear_gradient(start_hex: str, finish_hex: str = "#FFFFFF", n: int = 11) -> color_dict: """ returns a gradient list of (n) colors between two hex colors. start_hex and finish_hex should be the full six-digit color string, including the number sign ("#FFFFFF") """ # Starting and ending colors in...
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def bast_label_to_number(annotation, label): """Given an annotation file and a label convert it to its corresponding number for the BAST dataset.""" return bast_label_to_number_dict(annotation).get(label, None)
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def most_recent_timestamp(dir): """Returns the file with the most recent timestamp in the directory.""" most_recent = datetime.datetime.min file = None for cur in os.listdir(dir): timestr = cur.split("-", maxsplit=1)[0] cur_time = datetime.datetime.strptime(timestr, '%y%m%d%H%M%S') ...
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def function_with_exception(val): """Return a `val` if it is non-negative""" if val < 0: raise ValueError("val cannot be negative.") return val
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def _c(obj: model.Component): """Convert :class:`.Component`.""" # Raises AttributeError if the concept_identity is missing return str(obj.concept_identity.id)
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def get_power_instance(wildcards): """ Returns a formatted template Arguments: rest_base - Base URL of the RESTful interface ident - Identifier of the chassis """ c = copy.deepcopy(_TEMPLATE) c['@odata.context'] = c['@odata.context'].format(**wildcards) c['@odata.id'] =...
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def get_user_history(history_type): """ :param history_type: 'click' or 'top' or 'play' :return: """ spark.sql('use {}'.format(user_pre_db)) if history_type == 'play': tmp_df = spark.sql('select user_id, movie_id, cate_id, datetime, play_time from merge_action').where( 'play_...
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def display_on_frame(self, image, left_curverad, right_curverad, car_off): """ Display texts on image using passed values """ font = cv2.FONT_HERSHEY_COMPLEX curve_disp_txt = 'Curvature: Right = ' + str(np.round(right_curverad,2)) + 'm, Left = ' + str(np.round(left_curverad,...
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def path_is_relative_to(path: Path, other: PathOrStr) -> bool: """ This is copied from :meth:`pathlib.PurePath.is_relative_to` to support older Python versions (before 3.9, when this method was introduced). """ try: path.relative_to(other) return True except ValueError: r...
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def add_known_bug(bug_id, description=None, type=LAUNCHPAD): """ Fetch the current plugin known_bugs.yaml if it exists and add new bug with description of the bug. """ if not os.path.isdir(PLUGIN_TMP_DIR): raise Exception("plugin tmp dir '{}' not found". format(PLUGI...
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def generate_tokens( parser, lines, flags, keywords): """ This is a rewrite of pypy.module.parser.pytokenize.generate_tokens since the original function is not RPYTHON (uses yield) It was also slightly modified to generate Token instances instead of the original 5-tuples -- it's now a 4-tuple of ...
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def main(): """Entry point to the script.""" # Basic parsing of command line arguments to allow a filename # to be passed when running this code in the debugger. file_handle = sys.stdin if 2 <= len(sys.argv): file_handle = open(sys.argv[1], "r") expander = GvcfExpander(bin_size=1000, ...
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def test_settle_channel_event( web3, get_accounts, token_network, create_channel, channel_deposit, create_balance_proof, create_balance_proof_update_signature, event_handler, ): """ A successful settleChannel() call causes a SETTLED event """ ev_ha...
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def get_days_word_ending(days: int) -> str: """Определяет окончание слова "дня", "дней" и т.д. в зависимости от входящего числа""" last_numeral = days % 10 prelast_numeral = days % 100 prelast_numeral = prelast_numeral // 10 if prelast_numeral == 1: return 'дней' if last_numeral == 0 or ...
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def _init_hoomd_rb_torsions(structure, ref_energy=1.0): """RB dihedrals (implemented as OPLS dihedrals in HOOMD).""" # Identify the unique dihedral types before setting dihedral_type_params = {} for dihedral in structure.rb_torsions: t1, t2 = dihedral.atom1.type, dihedral.atom2.type t3, ...
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def tpg(): """[DEPRECATED] use "taurus plot" or "taurus trend" instead""" print('"taurus tpg" subcommand is deprecated. ' + 'Use "taurus plot" or "taurus trend" instead\n') sys.exit(1)
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def moments(data): """Returns (height, x, y, width_x, width_y) the gaussian parameters of a 2D distribution by calculating its moments """ total = data.sum() X, Y = np.indices(data.shape) x = (X * data).sum() / total y = (Y * data).sum() / total col = data[:, int(y)] width_x = np.sqr...
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def compute_throughputs(batch_size, gpu_times): """ Given a batch size and an array of time running on GPU, returns an array of throughputs """ return [batch_size / gpu_times[i] * 1000 for i in range(len(gpu_times))]
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def load_trained_model(args, config_class, model_class, label_count_info, n_gpu, device): """Load trained model for evaluation""" model = _build_pretrained_model(args, config_class, model_class, label_count_info) model.to(device) model_path = args.output_dir + "/epoch_%d" % args.load_n_epoch ckpt_s...
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def parse_filter_field(string_filters) -> dict: """ Parses string with sets of name, value and comparison into a dict Args: string_filters: A string of the form 'name=<name1>,value=<value1>,comparison=<comparison1>;name=<name2>...' Returns: A dict of the form {<name1>:[{'Value': <value1...
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def create_empty_image_like(im: Image) -> Image: """ Create an empty image like another in shape and wcs :param im: :return: Image """ assert type(im) == Image, "Type is %s" % type(im) fim = Image() fim.polarisation_frame = im.polarisation_frame fim.data = numpy.zeros_like(im.data)...
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def convert_to_one_hot(integer_vector, dtype=None, max_labels=None, mode='stack', sparse=False): """ Formats a given array of target labels into a one-hot vector. Parameters ---------- max_labels : int, optional The number of possible classes/labels. This means th...
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def get_constraints( guesses: list[str], calls: list[Sequence[Call]] ) -> tuple[dict[int, str], set[str], set[str]]: """Get constraints.""" positions = {} appears = set() no_appears = set() for call, guess in zip(calls, guesses): for i, c, x in zip(itt.count(), call, guess): ...
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def apply_trained_model( trained_model_object, input_table, feature_names, replace_missing, standardize, transform_via_svd, replacement_dict_for_training_data=None, standardization_dict_for_training_data=None, svd_dict_for_training_data=None): """Uses a trained model to make predicti...
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def extract_host(host, level='backend', default_pool_name=False): """Extract Host, Backend or Pool information from host string. :param host: String for host, which could include host@backend#pool info :param level: Indicate which level of information should be extracted from host string....
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