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def _get_data_tuple(sptoks, asp_termIn, label): """ Method obtained from Trusca et al. (2020), no original docstring provided. :param sptoks: :param asp_termIn: :param label: :return: """ # Find the ids of aspect term. aspect_is = [] asp_term = ' '.join(sp for sp in asp_termIn)....
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def setup_environment(new_region: Path) -> bool: """Try to create new_region folder""" if new_region.exists(): print(f"{new_region.resolve()} exists, this may cause problems") proceed = input("Do you want to proceed regardless? [y/N] ") sep() return proceed.startswith("y") n...
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def main(): """Function: main Description: Initializes program-wide used variables and processes command line arguments and values. Variables: dir_chk_list -> contains options which will be directories. dir_crt_list -> contain options that require directory to be created. ...
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def is_favorable_halide_environment( i_seq, contacts, pdb_atoms, sites_frac, connectivity, unit_cell, params, assume_hydrogens_all_missing=Auto): """ Detects if an atom's site exists in a favorable environment for a halide ion. This includes coordinating by a positively charged sid...
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def interlock(word_list): """Finds all pairs of words that interlock to form a word also in the list""" for word in word_list: first_word = word[0::2] second_word = word[1::2] if first_word in word_list and second_word in word_list: print(word, first_word, second_word)
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def headers(): """Default headers for making requests.""" return { 'content-type': 'application/json', 'accept': 'application/json', }
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def merge_two_lists(l1: ListNode, l2: ListNode) -> ListNode: """Returns a single sorted, in-place merged linked list of two sorted input linked lists The linked list is made by splicing together the nodes of l1 and l2 Args: l1: l2: Examples: >>> l1 = linked_list.convert_list_t...
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def write_database_integrity_violation(results, headers, reason_message, action_message=None): """Emit a integrity violation warning and write the violating records to a log file in the current directory :param results: a list of tuples representing the violating records :param headers: a tuple of strings ...
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def test_merge(): """ testing the merge helper function of merge_sort """ assert merge([1], [2]) == [1, 2] assert merge([1, 2, 4], [3, 5]) == [1, 2, 3, 4, 5]
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def map_SOPR_to_firm(): """ Map SOPR identifiers to a lobbying CUID. Return a dictionnary. """ firms = {} with open(DATASET_PATH_TO['LOBBYING_FIRMS'], 'rb') as f: reader = csv.reader(f, delimiter='%', quoting=csv.QUOTE_NONE) for record in reader: SOPR_reports = record[3].sp...
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def specialbefores_given_external_square( befores: Set[Before], directly_playable_squares: Set[Square], external_directly_playable_square: Square) -> Set[Specialbefore]: """ Args: befores (Set[Before]): a set of Befores used to create Specialbefores. directly_playable_sq...
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def test_exit_status_unknown_user(salt_factories, master_id): """ Ensure correct exit status when the master is configured to run as an unknown user. """ with pytest.raises(FactoryNotStarted) as exc: factory = salt_factories.get_salt_master_daemon( master_id, config_overrides={"user"...
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def load_sets(path: WindowsPath = project_dir / 'data/processed') -> \ Tuple[pd.DataFrame, pd.DataFrame, pd.Series, pd.Series]: """ :param path: :return: """ import os X_train = pd.read_csv(os.path.join(path, "X_train.csv")) X_test = pd.r...
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def check_if_all_tests_pass(option='-x'): """Runs all of the tests and only returns True if all tests pass. The -x option is the default, and -x will tell pytest to exit on the first encountered failure. The -s option prints out stdout from the tests (normally hidden.)""" import pytest options...
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def register_metrics(): """Registers all metrics used with package 'trackstats'. Make sure this is called before using metrics. Returns ------- None """ from trackstats.models import Domain, Metric Domain.objects.REQUESTS = Domain.objects.register( ref='requests', ...
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def prim_roots(modulo: int) -> tp.Iterable[int]: """Calculate all :term:`primitive roots <primitive root>` for the given modulo """ if is_prime(modulo): required = set(range(1, modulo)) for g in range(modulo): powers = get_powers_modulo(g, modulo) if powers == require...
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def array_to_tiff(arr, outputTiff): """Transform a density map array into a tiff image, to be visualized.""" arr = np.array(arr) arr *=10000 arr = arr.astype('uint16') arr[arr > 60000] = 0 tifffile.imsave(outputTiff, arr)
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def init(api, _cors, impl): """Configures REST handlers for allocation resource.""" namespace = webutils.namespace( api, __name__, 'Local nodeinfo redirect API.' ) @namespace.route('/<hostname>/<path:path>') class _NodeRedirect(restplus.Resource): """Redirects to local nodeinfo end...
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def split_matrix_2(input1): """ Split matrix. Args: inputs:tvm.Tensor of type float32. Returns: akg.tvm.Tensor of type float32 with 3d shape. """ dim = input1.shape[0] split_num = dim // split_dim result_3 = allocate((split_num, split_dim, split_dim), input1.dtype, 'loc...
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def load_all(path, jobmanager=None): """Load all jobs from *path*. This function works as a multiple execution of |load_job|. It searches for ``.dill`` files inside the directory given by *path*, yet not directly in it, but one level deeper. In other words, all files matching ``path/*/*.dill`` are used. That w...
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def process_img(img1, img2): """ 图片处理 :param img1: 处理后图片 :param img2: 待处理图片 :return: """ cv2.imwrite(img1, img2) target = cv2.imread(img1) target = cv2.cvtColor(target, cv2.COLOR_BGR2GRAY) target = abs(255 - target) cv2.imwrite(img1, target)
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def relative_error(estimate, exact): """ Compute the relative error of an estimate, in percent. """ tol = 1e-15 if numpy.abs(exact) < tol: if numpy.abs(estimate - exact) < tol: relative_error = 0.0 else: relative_error = numpy.inf else: relative_e...
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def AddTrainingOperators(model, softmax, label): """Adds training operators to the model.""" xent = model.LabelCrossEntropy([softmax, label], 'xent') # compute the expected loss loss = model.AveragedLoss(xent, "loss") # track the accuracy of the model AddAccuracy(model, softmax, label) # use...
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def extract_sample_paths(seq_dir): """ Obtain the sample paths. Parameters ---------- seq_dir : str Input directory containing all of the sample files. Returns ------- dict of list of str Samples with a list of their forward and reverse files. """ fps = os.listdir(seq...
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def list_users(cursor): """ Returns the current roles """ cursor.execute( """ SELECT r.rolname AS name, r.rolcanlogin AS login, ARRAY( SELECT b.rolname FROM pg_catalog.pg_auth_members m JOIN pg_catalog.pg_roles b ON (m.roleid = b.oid) W...
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def get_stack_policy(ctx, environment, stack): """ Displays the stack policy used. Prints ENVIRONMENT/STACK policy. """ env = get_env(ctx.obj["sceptre_dir"], environment, ctx.obj["options"]) response = env.stacks[stack].get_policy() write(response.get('StackPolicyBody', {}))
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def getVelocityRange(vis, options={}): """ Parse the velocity range from uvlist. Useful when resampling and re-binning data in `line` selections Returns a tuple of the form (starting velocity, end velocity) """ options['vis'] = vis options['options'] = 'spec' specdata = uvlist(options, stdout=subprocess.PIPE)...
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def polynomial_classification(): """Classification using the Perceptron algorithm and polynomial features """ students_data_set = load_grades() students_data_set = preprocess_data(students_data_set, poly_features=True) X_train = students_data_set['train_data'] X_test = students_data_set['t...
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def get_job_exe_output_vol_name(job_exe): """Returns the container output volume name for the given job execution :param job_exe: The job execution model (must not be queued) with related job and job_type fields :type job_exe: :class:`job.models.JobExecution` :returns: The container output volume name ...
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def bytes2human(n, format='%(value).1f %(symbol)s', symbols='customary'): """ Convert n bytes into a human readable string based on format. symbols can be either "customary", "customary_ext", "iec" or "iec_ext", see: http://goo.gl/kTQMs >>> bytes2human(0) '0.0 B' >>> bytes2human(0.9) ...
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def test_example(save_to_file, progress_bar, tmp_path, file_cache): """basic test: retrieve an example dataset """ # get the reference dataset dataset_id, ref_csv, ref_df, ref_shape = ref_dataset_public_platform() # check the cache status cached_entry = None if file_cache: cache_root =...
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def check_if_free(driver, available, movie_hulu_url): """ Check if "Watch Movie" button is there if not, it's likely available in a special package (Starz etc) or availabe for Rent on Hulu. """ is_free = False if available: driver.get(movie_hulu_url) sleep(3) watch_movie_button = driver.find_elements_...
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def scatter_add(data, indices, updates, axis=0): """Update data by adding values in updates at positions defined by indices Parameters ---------- data : relay.Expr The input data to the operator. indices : relay.Expr The index locations to update. updates : relay.Expr ...
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def LTE_end(verbose=False): """Clean disconnection of the LTE network. This is required for future successful connections without a complete power cycle between. Parameters ---------- verbose : bool, print debug statements """ if verbose: print("Disonnecting LTE ... ", end='') lte_modem...
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def generate_test_linked_list(size=5, singly=False): """ Generate node list for test case :param size: size of linked list :type size: int :param singly: whether or not this linked list is singly :type singly: bool :return: value list and generated linked list """ assert size >= 1 ...
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def write_galaxy_provenance(gi,history_id,output_dir): """ Writes provenance information from Galaxy to JSON output files. :param history_id: The history id in Galaxy to examine. :param output_dir: The directory to write the output files. :return: None. """ histories_provenance_file=out...
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def process_install_task(self): """Creates the installation task for the current task generator; uses :py:func:`waflib.Build.add_install_task` internally.""" self.add_install_task(**self.__dict__)
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def build(build_args=None, docs_dir=None, build_dir=None, fmt=None, open_url=False): """Use sphinx-build to build the documentation.""" status = sphinx_build(build_args) if status: sys.exit(status) if open_url and fmt == 'html': webbrowser.open(str(build_dir / 'index.html'))
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def _bytes_to_long(bytestring, byteorder): """Convert a bytestring to a long For use in python version prior to 3.2 """ result = [] if byteorder == 'little': result = (v << i * 8 for (i, v) in enumerate(bytestring)) else: result = (v << i * 8 for (i, v) in enumerate(reversed(byt...
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def cli(): """Utility to update dependency requirements for `aiida-core`. Since `aiida-core` fixes the versions of almost all of its dependencies, once in a while these need to be updated. This is a manual process, but this CLI attempts to simplify it somewhat. The idea is to remote all explicit version ...
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def process_manifest_for_key(manifest, manifest_key, installinfo, parentcatalogs=None): """Processes keys in manifests to build the lists of items to install and remove. Can be recursive if manifests include other manifests. Probably doesn't handle circular manifest referen...
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def SoS_exec(script: str, _dict: dict = None, return_result: bool = True) -> None: """Execute a statement.""" if _dict is None: _dict = env.sos_dict.dict() if not return_result: if env.verbosity == 0: with contextlib.redirect_stdout(None): exec( ...
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def main(): """hash-it main entry point""" try: from hashit.cli.cli import cli_main sys.exit(cli_main(docopt(__doc__))) except KeyboardInterrupt: sys.exit(130)
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def aten_dim(mapper, graph, node): """ 构造获取维度的PaddleLayer。 TorchScript示例: %106 : int = aten::dim(%101) 参数含义: %106 (int): 输出,Tensor的维度。 %101 (Tensor): 输入的Tensor。 """ scope_name = mapper.normalize_scope_name(node) output_name = mapper._get_outputs_name(node)[0] lay...
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def test_iterdict(reference): """ GIVEN a dict for iteration """ # WHEN passing dict to this function dict_gen = iterdict(reference) # THEN it will create dict generator, we can iterate it, get the key, values as string for key, value in dict_gen: assert isinstance(key, str) assert ...
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def create_config(config: HMAConfig) -> None: """ Creates a config, exception if one exists with the same type and name """ _assert_initialized() config._assert_writable() # TODO - we should probably sanity check here to make sure all the fields # are the expected types, because lolpy...
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def regenerate(): """Automatically regenerate site upon file modification""" local('pelican -r -s pelicanconf.py')
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def calcBlockingMatrix(vs , NC = 1 ): """Calculate the blocking matrix for a distortionless beamformer, and return its Hermitian transpose.""" vsize = len(vs) bsize = vsize - NC blockMat = numpy.zeros((vsize,bsize), numpy.complex) # Calculate the perpendicular projection operator 'PcPerp'...
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def test_main_expression_parser_if_not(): """ UT for main """ tree = ET.parse(os.path.join(os.path.split(__file__)[0], "tc1_exec_type_driver.xml")) # get root element root = tree.getroot() # getting steps steps = root.find("Steps") sstep = steps[6] data_repository = {'step_1_resu...
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def plot_LA(mobile, ref, GDT_TS, GDT_HA, GDT_ndx, sel1="protein and name CA", sel2="protein and name CA", cmap="GDT_HA", **kwargs): """ Create LocalAccuracy Plot (heatmap) with - xdata = residue ID - ydata = frame number - color = color-coded pair distance .. Note...
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def calculate_psfs(output_prefix): """Tune a family of comparable line-STED vs. point-STED psfs. """ comparison_filename = os.path.join(output_prefix, 'psf_comparisons.pkl') if os.path.exists(comparison_filename): print("Loading saved PSF comparisons...") comparisons = pickle.load(open(c...
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def update(uuid: UUID, obj: BaseModel, db_table: DeclarativeMeta, db: Session): """Updates the object with the given UUID in the database. Designed to be called only by the API since it raises an HTTPException.""" # Try to perform the update try: result = db.execute( sql_update(db_t...
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def simulateGVecs(pd, detector_params, grain_params, ome_range=[(-np.pi, np.pi), ], ome_period=(-np.pi, np.pi), eta_range=[(-np.pi, np.pi), ], panel_dims=[(-204.8, -204.8), (204.8, 204.8)], pixel_pitch=(0.2, 0.2), ...
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def get_logger(name: str): """Get logger call. Args: name (str): Module name Returns: Logger: Return Logger object """ logger = logging.getLogger(name) logger.setLevel(logging.INFO) logger.addHandler(get_file_handler()) logger.addHandler(get_stream_handler()) return...
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def intel(csifile, index, ntxnum=2): """csitool""" print("="*40+"[intel]") members = [s for s in dir(csiread.Intel) if not s.startswith("__") and callable(getattr(csiread.Intel, s))] print("Methods: \n ", members) print('Time:') last = default_timer() csidata = csiread.Intel(csifile, ntxnum...
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def create_label_colormap(dataset=_PASCAL): """Creates a label colormap for the specified dataset. Args: dataset: The colormap used in the dataset. Returns: A numpy array of the dataset colormap. Raises: ValueError: If the dataset is not supported. """ if dataset == _PASCAL: return create...
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async def delete_messages_by(context, target: int, name=None): """Delete all messages from a user.""" guild = context.guild async with context.typing(): delete_gen = _delete_messages(guild, delete_messages_by_target(target)) member = guild.get_member(target) target_user = bot.get_use...
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def verify_access_profile(access_profile): """ Verify IdentityNow Access profile. """ assert access_profile['id'] is not None assert access_profile['name'] is not None assert access_profile['source'] is not None assert access_profile['entitlements'] is not None assert access_profile['ent...
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def test_continuousopacityflags(): """Code coverage tests for ContinuousOpacityFlags() class and methods. """ cof = ContinuousOpacityFlags() assert cof.smelib[2] == 1 cof['H-'] = False assert cof.smelib[2] == 0 with raises(ValueError): cof['H++'] = True with raises(ValueError): ...
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def SDM_lune(params, dvals, title=None, label_prefix='ham='): """Exact calculation for SDM circle intersection. For some reason mine is a slight upper bound on the results found in the book. Uses a proof from Appendix B of the SDM book (Kanerva, 1988). Difference is neglible when norm=True.""" res = expected_i...
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def font_match(obj): """ Matches the given input againts the available font type matchers. Args: obj: path to file, bytes or bytearray. Returns: Type instance if matches. Otherwise None. Raises: TypeError: if obj is not a supported type. """ return match(obj, f...
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async def insert_new_idol(*args): """ Insert a new idol. """ await self.conn.execute(f"INSERT INTO groupmembers.member({', '.join(IDOL_COLUMNS)}) VALUES " f"({', '.join([f'${value}' for value in range(1, len(IDOL_COLUMNS) + 1)])})", *args)
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def test_pde_vector(): """ test PDE with a single vector field """ eq = PDE({"u": "vector_laplace(u) + exp(-t)"}) assert eq.explicit_time_dependence assert not eq.complex_valued grid = grids.UnitGrid([8, 8]) field = VectorField.random_normal(grid) res_a = eq.solve(field, t_range=1, dt=0.01,...
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def process_image(debug=False): """Processes an image by: -> sending the file to Vision Azure api -> returns a dictionary containing the caption and confidence level associated with that image TODO implement """ # get the json data json_data = response.json() if json_...
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def time_monotonically_increases(func_or_granularity): """ Decorate a unittest method with this function to cause the value of :func:`time.time` and :func:`time.gmtime` to monotonically increase by one each time it is called. This ensures things like last modified dates always increase. We make...
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def vis_step(writer, step, dicts): """ Add several curves. """ for k in dicts: writer.add_scalar(k, dicts[k], step)
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def rotate_coordinates(coords: np.ndarray, axis_coords: np.ndarray) -> np.ndarray: """ Given a set of coordinates, `coords`, and the eigenvectors of the principal moments of inertia tensor, use the scipy `Rotation` class to rotate the coordinates into the principal axis frame. Parameters ------...
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def get_maggy_ddp_wrapper(module: Type[TorchModule]): """Factory function for MaggyDDPModuleWrapper. :param module: PyTorch module passed by the user. """ class MaggyDDPModuleWrapper(TorchDistributedDataParallel): """Wrapper around PyTorch's DDP Module. The wrapper replaces the user's...
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def random_jitter(cv_img, saturation_range, brightness_range, contrast_range): """ 图像亮度、饱和度、对比度调节,在调整范围内随机获得调节比例,并随机顺序叠加三种效果 Args: cv_img(numpy.ndarray): 输入图像 saturation_range(float): 饱和对调节范围,0-1 brightness_range(float): 亮度调节范围,0-1 contrast_range(float): 对比度调节范围,0-1 Retur...
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def render_orchestrator_inputs() -> Union[Driver, None]: """ Renders input form for collecting orchestrator-related connection metadata, and assembles a Synergos Driver object for subsequent use. Returns: Connected Synergos Driver (Driver) """ with st.sidebar.beta_container(): ...
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def json_cache_wrapper(func, intf, cache_file_ident): """ Wrapper for saving/restoring rpc-call results inside cache files. """ def json_call_wrapper(*args, **kwargs): cache_file = intf.config.cache_dir + '/insight_dash_' + cache_file_ident + '.json' try: # looking into cache first ...
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def recode_graph(dot, new_dot, pretty_names, rules_to_drop, color=None, use_pretty_names=True): """Change `dot` label info to pretty_names and alter styling.""" if color is None: color = "#50D0FF" node_patterns_to_drop = [] with open(dot, mode='r') as dot: with open(new_dot, mode='w') ...
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def type_assert_dict( d, kcls=None, vcls=None, allow_none: bool=False, cast_from=None, cast_to=None, dynamic=None, objcls=None, ctor=None, desc: str=None, false_to_none: bool=False, check=None, ): """ Checks that every key/value in @d is an instance of @kcls: @vcls ...
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def get_missing_ids(raw, results): """ Compare cached results with overall expected IDs, return missing ones. Returns a set. """ all_ids = set(raw.keys()) cached_ids = set(results.keys()) print("There are {0} IDs in the dataset, we already have {1}. {2} are missing.".format(len(all_ids), len...
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def _spaghettinet_edgetpu_s(): """Architecture definition for SpaghettiNet-EdgeTPU-S.""" nodes = collections.OrderedDict() outputs = ['c0n1', 'c0n2', 'c0n3', 'c0n4', 'c0n5'] nodes['s0'] = SpaghettiStemNode(kernel_size=5, num_filters=24) nodes['n0'] = SpaghettiNode( num_filters=48, level=2, l...
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def test_memoryview_supports_bytes(valid_bytes_128): """ Assert that the `bytes` representation of a :class:`~ulid.ulid.MemoryView` is equal to the result of the :meth:`~ulid.ulid.MemoryView.bytes` method. """ mv = ulid.MemoryView(valid_bytes_128) assert bytes(mv) == mv.bytes
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def edges(nodes, score) -> Iterable[Tuple[int, int]]: """ Return the edges of the tree with the desires score. 1. Check if the score is possible. 2. Determine the highest edge, that I can insert. 3. Insert the edge with the highest possible score. :time: O(n) :space: O(n) """ if sc...
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def instance_of(type): """ A validator that raises a :exc:`TypeError` if the initializer is called with a wrong type for this particular attribute (checks are perfomed using :func:`isinstance` therefore it's also valid to pass a tuple of types). :param type: The type to check for. :type type: t...
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def execute_command(command): """ execute command """ output = subprocess.PIPE flag = 0 # for background execution if("nohup" in command) or ("\&" in command): output = open('result.log', 'w') flag = 1 child = subprocess.Popen(command.split(), shell=False, stdou...
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def ass(stream: Stream, *args, **kwargs) -> FilterableStream: """https://ffmpeg.org/ffmpeg-filters.html#ass""" return filter(stream, ass.__name__, *args, **kwargs)
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def record_generator(rec): """ Creates BioRec from SeqRec """ # Already in the correct format if isinstance(rec, BioRec): yield rec else: # Handling single or nested records. if not rec.features: # Attempts to read annotations from description. ...
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def resultcallback(group): """Compatibility layer for Click 7 and 8.""" if hasattr(group, "result_callback") and group.result_callback is not None: decorator = group.result_callback() else: # Click < 8.0 decorator = group.resultcallback() return decorator
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def test_non_existent_weight(base_clumper): """ Make sure that providing non existent weight key throws error """ with pytest.raises(KeyError): base_clumper.sample(n=len(base_clumper) - 1, replace=False, weights="my-key")
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def get_license_matches(location=None, query_string=None): """ Return a sequence of LicenseMatch objects. """ if not query_string: return [] from licensedcode import cache idx = cache.get_index() return idx.match(location=location, query_string=query_string)
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def deploy(): """Run deployment tasks.""" setup_app()
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def bond_topology_summaries_from_csv(filename): """Beam DoFn for generating bare BondTopologySummary. Args: filename: csv file of bond topologies to read Yields: dataset_pb2.Entry """ for bt in smu_utils_lib.generate_bond_topologies_from_csv(filename): summary = dataset_pb2.BondTopologySummary()...
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def test_read_additional_molecules_invalid() -> None: """Raises ValueError for profiles without additional molecules.""" with pytest.raises(ValueError): read_additional_molecules(Identifier.DAY_200KM)
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def compute_corrector_prf(results, logger, on_detected=True): """ References: https://github.com/sunnyqiny/ Confusionset-guided-Pointer-Networks-for-Chinese-Spelling-Check/blob/master/utils/evaluation_metrics.py """ TP = 0 FP = 0 FN = 0 all_predict_true_index = [] all_gol...
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def task_ut(): """run unit-tests""" for test in TEST_FILES: yield {'name': test, 'actions': [(run_test, (test,))], 'file_dep': PY_FILES, 'verbosity': 0}
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def nonzero_sign(x, name=None): """Returns the sign of x with sign(0) defined as 1 instead of 0.""" with tf.compat.v1.name_scope(name, 'nonzero_sign', [x]): x = tf.convert_to_tensor(value=x) one = tf.ones_like(x) return tf.compat.v1.where(tf.greater_equal(x, 0.0), one, -one)
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def compile_modules(current_dir: str, use_cgo: bool = False) -> None: """ Compile modules via GNU Make """ for root, dirs, files in os.walk(os.path.join(current_dir, "modules"), topdown=False): for name in files: if name == "Makefile": os.chdir(root) p...
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def tls_control_system_tdcops(tls_control_system): """Control system with time-dependent collapse operators""" objectives, controls, _ = tls_control_system c_op = [[0.1 * sigmap(), controls[0]]] c_ops = [c_op] H1 = objectives[0].H H2 = objectives[1].H objectives = [ krotov.Objective(...
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def test_verify_test_data_sanity(): """Checks all test data is consistent. Keys within each test category must be consistent, but keys can vary category to category. E.g date-based episodes do not have a season number """ from helpers import assertEquals for test_category, testcases in files.i...
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def create_new_credential(site_name,account_name, account_password): """Function to create a new account and its credentials""" new_credential = Credentials(site_name,account_name, account_password) return new_credential
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def test_enum_strings_changed(qtbot, signals, values, selected_index, expected): """ Test the widget's handling of enum strings, which are choices presented to the user, and the widget's ability to update the selected enum string when the user provides a choice index. This test will also cover value_ch...
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def create_inception_graph(): """"Creates a graph from saved GraphDef file and returns a Graph object. Returns: Graph holding the trained Inception network, and various tensors we'll be manipulating. """ with tf.Session() as sess: model_filename = os.path.join( 'imagenet...
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def prepare_request_params( request_params: Dict, model_id: Text, model_data: Dict ) -> Dict: """ reverse hash names and correct types of input params """ request_params = correct_types(request_params, model_data["columns_data"]) if model_data["hashed_indexes"]: request_params = reverse_hash_nam...
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def get_new_data_NC(): """Updates the global variable 'data' with new data""" global EN_NC_df EN_NC_df = pd.read_csv('https://en2020.s3.amazonaws.com/ncar_dash.csv') EN_NC_df['County'] = EN_NC_df.CountyName
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def fib_demo(): """使用生成器的方式生成斐波那契数列""" ret = generator.get_sequence(20) print(ret)
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def help_full(path): """Health Evaluation and Linkage to Primary Care The HELP study was a clinical trial for adult inpatients recruited from a detoxification unit. Patients with no primary care physician were randomized to receive a multidisciplinary assessment and a brief motivational intervention or usual...
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